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

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Deparlment of Justice 

ral bureau of Investigation 




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Crime in the United States,... 



niform Crime Reports 



Release Date 
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Augusts, 1990 





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Crime 
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UNIFORM 



CRIME 



SUMMARY 



REPORTS 



for the United States 



CRIME INDEX 



PRINTED ANNUALLY- 1989 by: 

Federal Bureau of Investigation 

U.S. Department of Justice, Washington, D.C. 20535 



CRIMES CLEARED 



ADVISORY: Committee on Uniform Cringe Records 

International Association of Chiefs of Police; 

Committee on Uniform Crime Reporting 

National Sheriffs' Association; 

Uniform Crime Reporting Data Providers Advisory Policy Board 



PERSONS ARRESTED 



LAW ENFORCEMENT PERSONNEL 



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' Di.-'OSiTORY 



^' AUG 10 1990 



APPENDICES 



For sale by the Superintendent of Documents, U.S. Government Printing Office, Washington, D.C. 20402 



FOREWORD 



In 1927, the International Association of Chiefs of Police established an 
advisory group comprising law enforcement executives, criminologists, 
specialists in public administration, and public officials. Their task was to 
develop a program for the compilation of crime statistics in the United States. 
In 1930, their job completed, the administration of the new Uniform Crime 
Reporting Program was assumed by the FBI. 

For over 60 years the program has operated successfully and has benefited 
not only law enforcement but Federal, state, and local governments as well. 
The data have been utilized by those in the academic field to measure the 
effects of crime on the populace and to identify areas for social reform. 

As the official recipient of the data for the Department of Justice, the FBI 
has benefited greatly from the close harmony and comradeship with local law 
enforcement which has grown through managing the program. The willingness 
of over 16,000 law enforcement jurisdictions, which represent 96 percent of 
the population of the United States, to voluntarily participate in the Uniform 
Crime Reporting Program attests to its importance and stature. 

Each year when Crime in the United States is published and when 
preliminary reports are released, the data are eagerly awaited by those who 
seek to improve society, the home, and the workplace. They are also utilized by 
news media, tourism agencies, and others with an interest in crime in our 
Nation. Often, however, the data are used to rank cities and counties based on 
their Crime Index figures. Such rankings sometimes create improper 
perceptions which adversely affect those living and working in the identified 
cities. Those in law enforcement who so carefully collect and report the 
statistics are done a great disservice by less than judicious examination of the 
data and other relevant factors contained within the confines of the 
publication. 

I believe it is incumbent upon all who would seek to use Uniform Crime 
Reporting data to become as well educated as possible when attempting to 
quantify the nature and extent of crime in the United States. To do less is an 
affront to those men and women who place their lives on the line through 
serving the public in the law enforcement field. Valid assessments of the 
Nation's crime problem are only possible with careful study and analysis of the 
various unique conditions affecting each local law enforcement jurisdiction. 



CM^^kL^ 



William S. Sessions 
Director 



CRIME FACTORS 

Each year when Crime In the United States is published many entities-news media, tourism agencies, 
and others with an interest in crime in our Nation-compile ranking of cities and counties based on their 
Crime Index figures. This simplistic and incomplete analysis often creates improper perceptions which 
adversely atTect cities and counties along with their residents. Assessing criminality and law enforcement's 
response from jurisdiction to jurisdiction must encompass many elements, some of which, while having 
significant impact, are not readily measurable nor applicable pervasively among all locales. Geographic 
and demographic factors specific to each jurisdiction must be considered and applied if crime assessment is 
to approach completeness and accuracy. There are several sources of information which may assist the 
responsible researcher. The U.S. Bureau of Census data, for example, can be utilized to better understand 
the makeup of the locale's population. The transience of the population, its racial and ethnic makeup, its 
age and sex structure, education levels, and prevalent family structure are all key factors in assessing and 
better understanding the crime issues. 

The National League of Cities provides information regarding the economic and cultural makeup of 
cities and counties. Understanding a jurisdiction's industrial/economic base, its dependence upon 
neighboring jurisdictions, its transportation system, its dependence on non-residents (such as tourists and 
convention attendees), proximity to military reservations, etc., all help in better gauging and interpreting 
the crime known to and reported by law enforcement. More detailed information can, of course, be 
obtained from the city or county chamber of commerce, planning/information office, or similar entity. 

The strength (personnel and other resources) and the aggresiveness of the law enforcement agency are 
also key factors. While information pertaining to the number of sworn and civilian law enforcement 
employees can be found in this publication, assessment of the law enforcement emphases is, of course, 
much more difficult. For example, one city may report more crime than a comparable one. not because 
there is more crime, but rather because its law enforcement agency through proactive efforts, such as "sting 
operations," identify more offenses. Attitudes of the citizens toward crime and their crime reporting 
practices, especially concerning more minor offenses, have an impact on the volume of crimes known to 
police. 

It is incumbent upon all data users to become as well educated as possible when attempting to 
categorize and quantify the nature and extent of crime in the United States and in any of the almost 16,000 
jurisdictions represented by law enforcement contributors to this Program. This is only possible with 
careful study and analysis of the various unique conditions affecting each local law enforcement 
jurisdiction. 

Historically, the causes and origins of crime have been the subjects of investigation by varied 
disciplines. Some factors which have been determined to affect the volume and type of crime occurring 
from place to place are: 

Population density and degree of urbanization with size of locality and its surrounding area. 

Variations in composition of the population, particularly youth concentration. 

Stability of population with respect to resident's 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 6-160 

Narrative comments: 

Murder and nonnegligent manslaughter 7-13 

Forcible rape 14-16 

Robbery 17-21 

Aggravated assault 22-25 

Burglary 26-30 

Larceny-theft 31-36 

Motor vehicle theft 37-40 

Arson 41 -44 

Crime Index tabulations 45-48 

Charts: 

Crime clock, 1989 6 

Murder, monthly variation from annual average 9 

Murder, 1985-1989 9 

Forcible rape, monthly variation from annual average 16 

Forcible rape, 1985-1989 16 

Robbery, monthly variation from annual average 19 

Robbery, 1985-1989 19 

Robbery analysis, 1985-1989 21 

Aggravated assault, monthly variation from annual average 24 

Aggravated assault, 1985-1989 24 

Burglary, monthly variation from annual average 28 

Burglary, 1985-1989 28 

Burglary analysis, 1985-1989 29 

Larceny-theft, monthly variation from annual average 33 

Larceny-theft, 1985-1989 33 

Larceny analysis, 1985-1989 35 

Larceny analysis, 1 989 36 

Motor vehicle theft, monthly variation from annual average 39 

Motor vehicle theft, 1985-1989 39 

Crime Index total, 1985-1989 45 

Crime Index offenses, percent distribution, 1989 46 

Regional violent and property crime rates, 1989 47 

Tables: 

Murder: 

By month, percent of annual total, 1985-1989 8 

Age, sex, and race of victims, 1989 10 

Victim/offender relationship by race and sex, 1989 10 

Type of weapons used, 1 989 11 

Victims, type of weapons used, 1985-1 989 11 

Victims — weapons used, 1989 11 

Circumstances by relationship, 1989 12 

Circumstances by weapon, 1 989 12 

Circumstances, 1985-1989 13 

vii 



Page 

Tables — Continued 

Forcible rape, by month, percent of annual total, 1985-1989 15 

Robbery: 

By month, percent of annual total, 1985-1989 18 

Percent distribution, region, 1989 18 

Percent distribution, population group, 1989 20 

Type of weapons used, 1989 20 

Aggravated assault: 

By month, percent of annual total, 1985-1989 23 

Type of weapons used, 1989 23 

Burglary, by month, percent of annual total, 1985-1989 27 

Larceny-theft: 

By month, percent of annual total, 1985-1989 32 

By region, 1989 32 

Motor vehicle theft: 

By month, percent of annual total, 1985-1989 38 

By region, 1989 38 

Arson, 1989: 

Rate, population group 42 

Type of property 42 

Structures not in use 43 

Property damage 43 

Offenses cleared by arrest 43 

Offenses cleared by arrest of persons under 18 years of age 43 

Index of crime: 

United States, 1980-1989 48 

United States, 1989 49 

Regional offense and population distribution, 1989 49 

Region, geographic division, and state, 1988-1989 50-57 

State, 1989 58-68 

Number of offenses known to the police, 1989: 

Cities and towns 10,000 and over in population 69-117 

Universities and colleges 118-125 

Suburban counties 1 26- 1 39 

Rural counties 25,000 and over in population 140-147 

Crime trends, offenses known to the police, 1988-1989: 

Population group 1 48- 1 49 

Suburban and nonsuburban cities, population group 150 

Suburban and nonsuburban counties, population group 151 

Offense breakdown, population group 152-153 

Crime rates, offenses known to the police, 1989: 

Population group 1 54- 1 55 

Suburban and nonsuburban cities, population group 156 

Suburban and nonsuburban counties, population group 157 

Offense breakdown, population group 158-159 

Offense analysis, 1989, and percent change from 1988 160 

Type and value of property stolen and recovered, 1989 160 

Section III — Crime Index OfTenses Cleared 161-170 

Narrative com ments 161 

Chart: 

Crimes cleared by arrest, 1989 162 



VIII 



Tables: 

Offenses known and percent cleared by arrest, 1989: 

Populat ion group 1 63- 1 64 

Geographic region and division 1 65- 1 66 

Offense breakdown, population group 167-168 

Offenses cleared by arrest of persons under 18 years of age, 1989 169-170 

Section IV— Persons Arrested 171-233 

Narrative comments 171-172 

Tables: 

Arrests for drug abuse violations, 1989 171 

Total estimated arrests. United States, 1989 172 

Arrests, number and rate, 1989: 

Region 173 

Population group 174-175 

Total arrest trends: 

1980-1989 176 

Sex. 1980-1989 177 

1985-1989 178 

Sex, 1985-1989 179 

1988-1989 180 

Sex. 1988-1989 181 

Total arrests, 1989: 

Distribution by age 182-183 

Male arrests, distribution by age 184-185 

Female arrests, distribution by age 186-187 

Of persons under 15, 18, 21, and 25 years of age 188 

Distribution by sex 189 

Distribution by race 1 90- 1 92 

City arrest trends: 

1988-1989 193 

Sex, 1988-1989 194 

City arrests, 1989: 

Distribution by age 1 95- 1 96 

Of persons under 15, 18, 2i, and 25 years of age 197 

Distribution by sex 198 

Distribution by race 1 99-201 

Suburban county arrest trends: 

1988-1989 202 

Sex, 1988-1989 203 

Suburban county arrests, 1989: 

Distribution by age 204-205 

Of persons under 15, 18, 21, and 25 years of age 206 

Distribution by sex 207 

Distribution by race 208-210 

Rural county arrest trends: 

1988-1989 211 

Sex, 1988-1989 212 

Rural county arrests, 1989: 

Distribution by age 213-214 

Of persons under 15, 18, 21, and 25 years of age 215 

Distribution by sex 216 

Distribution by race 217-219 

Suburban area arrest trends: 

1988-1989 220 

Sex, 1988-1989 221 

ix 



Page 
Tables — Continued 

Suburban area arrests, 1989: 

Distribution by age 222-223 

Of persons under 15, 18, 21, and 25 years of age 224 

Distribution by sex 225 

Distribution by race 226-228 

Arrests by state, Crime Index offenses, 1989 229-232 

Police disposition of juvenile offenders taken into custody, 1989 233 

Law Enforcement Code of Ethics 234 

Section V — Law Enforcement Personnel 235-319 

Narrative comments 235-236 

Tables: 

Full-time law enforcement employees, October 31, 1989: 

Employees, rate per 1,000 inhabitants, region and population group 235 

Officers, rate per 1,000 inhabitants, region and population group 236 

Employees, number and rate per 1,000 inhabitants, geographic division and population group 237 

Officers, number and rate per 1,000 inhabitants, geographic division and population group 238 

Employees, range in rate per 1,000 inhabitants 239 

Officers, range in rate per 1,000 inhabitants 240 

Employees, percent male and female 241 

Civilian employees, percent of total, population group 241 

State agencies 242 

Cities 243-300 

Universities and colleges 301-305 

Suburban counties 306-309 

Rural counties 310-319 

Section VI — Appendices 320-363 

Appendix I — Table methodology 320-323 

Appendix II — Offenses in Uniform Crime Reporting 324-325 

Appendix III — Uniform Crime Reporting area definitions 326-327 

Appendix IV — The Nation's two crime measures 328-329 

Appendix V — Index of Crime, Metropolitan Statistical Areas, 1989 330-358 

Appendix VI — Directory of Uniform Crime Reporting Programs 359-363 



SECTION I 
SUMMARY OF THE UNIFORM CRIME REPORTING 

PROGRAM 



The Uniform Crime Reporting (UCR) Program is a 
nationwide, 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 country's leading social indicators. The American 
public looks to UCR for information on fluctuations in the 
level of crime, while criminologists, sociologists, legisla- 
tors, 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 enforce- 
ment. After studying state criminal codes and making an 
evaluation of the recordkeeping practices in use, the 
Committee in 1929 completed a plan for crime reporting 
which became the foundation of the UCR Program. 

Seven offenses were chosen to serve as an Index for 
gauging fluctuations in the overall volume and rate of 
crime. Known collectively as the Crime Index, these 
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 different state codes, 
no distinction between felony and misdemeanor crimes 
was possible. To avoid these problems and provide nation- 
wide uniformity in crime reporting, standardized offense 



definitions by which law enforcement agencies were to 
submit data, without regard for local statutes, were formu- 
lated. The definitions used by the Program are set forth in 
Appendix II of this publication. 

In January, 1930, 400 cities representing 20 million 
inhabitants in 43 states began participating in the UCR 
Program. Congress enacted Title 28, Section 534, of the 
United States Code authorizing the Attorney General to 
gather crime information that same year. The Attorney 
General, in turn, designated the FBI to serve as the 
national clearinghouse for the data collected. Since that 
time, data based on uniform classifications and procedures 
for reporting have been obtained from the Nation's law 
enforcement agencies. 

Advisory Groups 

Providing vital links between local law enforcement and 
the FBI in the conduct of the UCR Program are the lACP 
and the National Sheriffs' Association (NSA). The lACP's 
Committee on Uniform Crime Records, as it has since the 
Program began, represents the thousands of police depart- 
ments nationwide. The NSA's Committee on Uniform 
Crime Reporting, established in June, 1966, encourages 
sheriffs throughout the country to participate fully in the 
Program. Both committees serve in advisory capacities 
concerning the UCR Program's operation. 

To function in an advisory capacity concerning UCR 
policy and provide suggestions on UCR data usage, a Data 
Providers Advisory Policy Board was established in 
August, 1988. The Board is comprised of 20 city, county, 
and state law enforcement executives, representing the four 
geographic regions of the Nation. 

The Association of State Uniform Crime Reporting 
Programs and committees on UCR within individual state 
law enforcement associations are also active in promoting 
interest in the UCR Program. These organizations foster 
widespread and more intelligent use of uniform crime 
statistics and lend assistance to contributors when the 
needs arise. 

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 intermedi- 
aries between local contributors and the FBI. Many of the 



42 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 en- 
forcement 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 submit- 
ted to the national Program, as well as provide for regular 
and timely reporting of national crime data. These condi- 
tions are: (1) The state Program must conform to national 
Uniform Crime Reports' standards, definitions, and infor- 
mation requirements. The states are not, of course, prohib- 
ited 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 proce- 
dures. (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 mat- 
ters, coordinating such contact with the state agency; and 
upon request, conducts training programs within the state 
on law enforcement records and crime reporting proce- 
dures. Should circumstances develop whereby the state 
agency does not comply with the aforementioned require- 
ments, the national Program may reinstitute a direct 
collection of Uniform Crime Reports from law enforce- 
ment agencies within the state. 

Reporting Procedures 

Based on records of all reports of crime received from 
victims, officers who discover infractions, or other sources, 
law enforcement agencies across the country tabulate the 
number of Crime Index or Part I offenses brought to their 
attention each month. Specifically, the crimes reported to 



the FBI are murder and nonnegligent manslaughter, forci- 
ble rape, robbery, aggravated assault, burglary, larceny- 
theft, motor vehicle theft, and arson. 

Whenever complaints of crime are determined through 
investigation to be unfounded or false, they are eliminated 
from an agency's count. The number of "actual offenses 
known" is reported to the FBI regardless of whether 
anyone is arrested for the crime, stolen property is recov- 
ered, or prosecution is undertaken. 

Another integral part of the monthly submission is the 
total number of actual Crime Index offenses cleared. 
Crimes are "cleared" in one of two ways: (1) at least one 
person is arrested, charged, and turned over to the court 
for prosecution; or (2) by exceptional means when some 
element beyond police control precludes the arrest of an 
offender. Law enforcement agencies also report the num- 
ber 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 thor- 
oughly examined for arithmetical accuracy and for devia- 
tions 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, incom- 
plete reporting, or changes in the jurisdiction's geopolitical 
structure. 

Data reliability is a high priority of the Program and 
noted deviations or arithmetical adjustments are brought 
to the attention of the state UCR Program or the submit- 
ting agency through correspondence. A standard procedure 
of the FBI is to study the monthly reports and to evaluate 
periodic trends prepared for individual reporting units. 
Any significant increase or decrease is made the subject of 
a special inquiry. When it is found that changes in crime 
reporting procedures or annexations are influencing the 
level of crime, the figures for specific crime categories, or if 
necessary, totals are excluded from trend tabulations. 

To assist contributors in complying with UCR stand- 
ards, the national Program provides training seminars and 
instructional materials in crime reporting procedures. 
Throughout the country, liaison with state Programs and 



law enforcement personnel is maintained, and training 
sessions are held to explain the purpose of the Program, the 
rules of uniform classification and scoring, and the meth- 
ods of assembling the information for reporting. When an 
individual agency has specific problems in compiling its 
crime statistics and remedial efforts are unsuccessful, FBI 
Headquarters" personnel may visit the contributor to aid in 
resolving the difficulties. 

The Uniform Crime Reporting Handbook, which details 
procedures for classifying and scoring offenses, is supplied 
to all contributors as the basic resource document for 
preparing reports. Since a good records system is essential 
for accurate crime reporting, the FBI also furnishes the 
Manual of Law Enforcement Records. 

To enhance communication among Program partici- 
pants, the UCR "Newsletter" and State UCR Program 
"Bulletin" are utilized. They address Program policy, as 
well as present information and instructional material, and 
are produced as needed. 

The final responsibility for data submissions rests with 
the individual contributing law enforcement agency. Al- 
though the Program makes every effort through its editing 
procedures, training practices, and correspondence to 
assure the validity of the data it receives, the statistics' 
accuracy depends primarily on the adherence of each 
contributor to the established standards of reporting. 
Deviations from these established standards which cannot 
be resolved by the national UCR Program may be brought 
to the attention of the Committee on Uniform Crime 
Records of the 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 popula- 
tion 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 subur- 
ban counties in UCR, are included. Due to changes in the 
geographic compositions of MSAs, no year-to-year com- 
parisons of data for those areas should be attempted. 

"Other cities," most of which are incorporated, and 
rural counties 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 subur- 
ban 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 1989, law enforcement agencies active in the 
UCR Program represented approximately 238 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, 94 percent of the population in 
"other cities," and 88 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 presenta- 
tions are aggregated as set forth in Appendix I. Unless 
consisting of estimates for the total United States popula- 
tion, 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, 1989. Using these figures 
along with the 1988 Bureau of the Census provisional 
estimates for counties and cities, the populations of 
individual jurisdictions were extrapolated (see Appendix 
III). The estimated United States population increase in 
1989 was approximately 1 percent over the 1988 estimate. 

Offense Estimation 

Tables 1 through 5 of this publication contain statistics 
for the entire United States. Because not all law enforce- 
ment 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 nonre- 
porting agencies. 

Unique estimation procedures were used to produce 
estimated 1985 through 1989 forcible rape figures for the 
State of Illinois. In mid- 1984, gender-neutral sex offense 
legislation was passed in that state. As a result, forcible 
rape figures furnished by the state-level UCR Program 
administered by the Illinois Department of State Police 
were not in accordance with national UCR guidelines. 
Forcible rape totals are not shown in Tables 6, 7, 8, 9, and 
Appendix V, which present individual MSA, city, county, 
and university/college data for Illinois agencies. Since the 



data supplied were not comparable with those provided for 
other agencies across the country, the post- 1984 forcible 
rape figures have been estimated using national rates per 
100,000 inhabitants within the eight population groups 
and assigning the forcible rape volumes proportionally. 
Due to reporting problems at the state levels, no usable 
1988 data were received for local law enforcement agencies 
in Florida and Kentucky. For Tables 1 and 4 of this 
publication, 1988 offense totals for these two states were 
estimated. Previous valid annual totals, by population 
group, were updated for the states by applying percentage 
changes for each offense within each population group of 
the geographic division in which the state resides. The state 
totals were compiled from the sums of the population 
group estimates. Reporting recommenced for both states 
during 1989, and usable data were received. 

Crime Trends 

Showing fluctuations from year to year, trend statistics 
offer the data user an added perspective from which to 
study crime. Percent change tabulations in this publication 
are computed only for reporting units which have provided 
comparable data for the periods under consideration. 
Exclusions from trend computations are made when fig- 
ures from a reporting agency are not received for compara- 
ble timeframes or when it is ascertained that unusual 
fluctuations are due to such variables as improved records 
procedures, annexations, etc. 

Care should be exercised in any direct comparison 
between data in this publication and those in prior issues 
of Crime in the United States. Valid percent changes for 2, 
5, and 10 years are presented in this book's tabular 
portions. 

Redesign of UCR 

While throughout the years the UCR Program remained 
virtually unchanged in terms of the data collected and 
disseminated, a broad utility had evolved for UCR by the 
1980s. Recognizing the need for improved statistics, law 
enforcement called for a thorough evaluative study that 
would modernize the UCR Program. The FBI fully con- 
curred with the need for an updated Program and lent its 
complete support, formulating a comprehensive three- 
phase redesign effort. The Bureau of Justice Statistics 
(BJS), the Department of Justice agency responsible for 
funding criminal justice information projects, agreed to 
underwrite the first two phases. Conducted by an indepen- 
dent 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 Cam- 
bridge, Massachusetts, overseen by the FBI, BJS, and a 
Steering Committee comprised of prestigious individuals 
representing a myriad of disciplines, commenced the first 
phase in 1982. 



During the first phase, the historical evolution of the 
Program was examined. All aspects of the Program, 
including the objectives and intended user audience, data 
items, reporting mechanisms, quality control, publications 
and user services, and relationships with other criminal 
justice data systems, were studied. 

Early in 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 Commit- 
tee members, however, endorsed the report's concepts. 

In April, 1985, the phase two recommendations were 
presented at the eighth National UCR Conference. While 
various considerations for the final report were set forth, 
the overall concept for the revised Program was unani- 
mously approved. The joint lACP/NSA Committee on 
UCR also issued a resolution endorsing the Blueprint. 

The final report, the "Blueprint for the Future of the 
Uniform Crime Reporting Program," was released in the 
summer of 1985. It specifically outlined recommendations 
for an expanded, improved UCR Program to meet infor- 
mational needs into the next century. There were three 
recommended areas of enhancement to the UCR Program. 
First, reporting of offenses and arrests would be made by 
means of an incident-based system. Second, collection of 
data would be accomplished on two levels. Agencies in 
level one would report important details about those 
offenses comprising the current Crime Index, their victims, 
and arrestees. Law enforcement agencies covering popula- 
tions of over 100,000 and a sampling of smaller agencies 
would be included in level two, which would collect 
expanded detail on all significant ofi'enses. The third 
proposal involved introducing a quality assurance pro- 
gram. 

One of the first actions taken by the FBI to begin 
implementation was to award a contract for the develop- 
ment of new offense definitions and data elements for the 
redesigned system. The work involved: (a) revision of the 
definitions of certain Index offenses; (b) identification of 
additional significant offenses to be reported; (c) refining 
definitions for both; and (d) development of data elements 
(incident details) for all UCR offenses in order to fulfill the 



requirements of incident-based reporting versus the cur- 
rent summary reporting. 

Concurrent with the preparation of the data elements, 
the FBI studied the various state systems to select an 
experimental site for implementation of the redesigned 
Program. In view of its long-standing incident-based 
Program and well-established staff dedicated solely to 
UCR, the South Carolina Law Enforcement Division 
(SLED) was chosen. The SLED agreed to adapt its existing 
system to meet the requirements of the redesigned Pro- 
gram and collect data on both offenses and arrests relating 
to the newly defined offenses. 

To assist SLED in conducting the pilot project, offense 
definitions and data elements developed under the private 
contract were put at the staffs disposal. Also, the FBI's 
Technical Services Division developed "Automated Data 
Capture Specifications" for use in adapting the state's data 
processing procedures to incorporate the revised system. 
The BJS supplied funding to facilitate needed software 
revisions. Testing of the new Program was completed in 
late 1987. 

Following the completion of the pilot project conducted 
by SLED, the FBI produced a draft set of guidelines for an 
enhanced UCR Program. Law enforcement executives 
from around the country were then invited to a conference 
in Orange Beach, Alabama, where the guidelines were 
presented for final review. 

During the conference, three overall endorsements were 
passed without dissent. First, that there be established a 
new, incident-based national crime reporting system; sec- 
ond, that the FBI manage this Program; and third, that an 
Advisory Policy Board composed of law enforcement 
executives be formed to assist in the direction and imple- 
mentation of the new Program. 

Information about the redesigned UCR Program, called 
the National Incident-Based Reporting System or NIBRS, 
is contained in three documents produced subsequent to 
the Orange Beach Conference. Volume 1 , Data Collection 
Guidelines, contains a system overview and descriptions of 
the offenses, offense codes, reports, data elements, and 
data values used in the system. Volume 2, Data Submission 
Specifications, is for the use of state and local systems 
personnel who are responsible for preparing magnetic tapes 
for submission to the FBI. Volume 3, Approaches to 
Implementing an Incident-Based Reporting (IBR) System, 
is for use by computer programmers, analysts, etc., respon- 
sible for developing a state or local IBR system which will 
meet NIBRS' reporting requirements. 

NIBRS will collect data on each single incident and 
arrest within 22 crime categories. For each offense known 
to police within these categories, incident, victim, proper- 
ty, offender, and arrestee information will be gathered 
when available. The goal of the redesign is to modernize 
crime information by collecting data presently maintained 
in law enforcement records; the enhanced UCR Program 
is, therefore, a byproduct of current records systems. The 



integrity of UCR's long-running statistical series will, of 
course, be maintained. 

It became apparent during the development of the 
prototype system that the level one and level two reporting 
proposed in the "Blueprint" may not be the most practical 
approach. Many state and local law enforcement adminis- 
trators indicated that the collection of data on all pertinent 
offenses could be handled with more ease than can the 
extraction of selected ones. While "Limited" participation, 
equivalent to the "Blueprint's" level one, will remain an 
option, it appears that most reporting jurisdictions, upon 
implementation, will go immediately to "Full" participa- 
tion, meeting all NIBRS data submission requirements. 

The implementation of NIBRS will be at a pace com- 
mensurate with the resources, abilities, and limitations of 
the contributing law enforcement agencies. The FBI was 
able to accept NIBRS data as of January, 1989, and five 
state-level UCR Programs have now submitted test tapes 
containing the expanded data. Twenty-five other Programs 
are in various stages of planning and development and are 
expected to be reporting to some degree by the end of 1 99 1 . 

Recent Developments 

FEDERAL CRIME REPORTING-In 1988, the U. S. 
Congress passed the Uniform Federal Crime Reporting 
Act, mandating Federal law enforcement participation in 
UCR effective January, 1989. Plans to implement NIBRS, 
the redesigned UCR Program, at the Federal level are 
underway, and the Department of the Interior has agreed 
to act as the pilot agency for testing Federal participation 
requirements. The FBI has provided supplemental NIBRS 
guidelines for Federal law enforcement, and several agen- 
cies project submission will begin with the 1991 reporting 
year. Data produced as a result of this Act should be of 
tremendous benefit to all levels of law enforcement, to the 
Executive and Legislative Branches, and to many other 
interests. 

HATE CRIME STATISTICS-The Hate Crime Statistics 
Act, passed by the U. S. Congress and signed by the 
President in April, 1990, mandates a 5-year data collection 
of crimes motivated by religious, ethnic, racial, or sexual- 
orientation prejudice. With the expectation that the re- 
sponsibility for the collection will be delegated to the UCR 
Program, plans are being made to solicit the information. 
As currently conceived, UCR contributors will have the 
choice of reporting bias-suspected crimes either in connec- 
tion with their NIBRS data submissions or through the use 
of a separate report form. 

ADVISORY POLICY BOARD-In accordance with its 
responsibility to offer guidance to UCR concerning data 
collection and dissemination, the Board recently establish- 
ed two subcommittees. One will provide input concerning 
the establishment of procedures for collecting statistics on 
hate crimes. The other will examine output from UCR's 
program on Law Enforcement Officers Killed and Assault- 
ed. 



CRIME CLOCI^ 

1989 




one 

MURDER 

every 24 minutes 



one 
FORCIBLE RAPE 

every 6 minutes 



one 
ROBBERy 

every 55 seconds 



one 



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 
Index 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. 



AGGRJUiflTED ASSAUU 

every 33 seconds 



one 

BURGLARY 

every 10 seconds 



one 

LARCENV-THEFT 

every 4 seconds 



one 

MOTOR VEHICLE THEFT 

every 20 seconds 



I 



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. 



TREND 



Year Number of offenses 

1988 20,675 

1989 21.500 

Percent change +4.0 



Rale per 100.000 
inhabitants 
8.4 
8.7 
+3.6 



Volume 

The total number of murders in the United States during 
1989 was estimated at 21,500 or 1 percent of the violent 
crimes reported. More persons were murdered in July than 
any other month, while the fewest were killed during 
February. 

Murder by Month, 1985-1989 

[Percent of annual total] 



Months 



January 
February . 

March 

April 

May 

June 

July 

August . . . 

September 

October 

November 

December 



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 



1988 



7.2 
7.7 
7.7 
7.8 
7.7 
8.9 
9.5 
8.9 
8.9 
8.2 
9.2 



1989 



8.1 
7.1 
7.8 
7.9 
7.8 
8.2 
9.1 
9.0 
8.8 
8.9 
8.5 
8.7 



When viewing the four regions of the Nation, the 
Southern States the most populous, accounted for 43 
percent of the murders. The Western States reported 20 
percent; the Midwestern States, 19 percent; and the 
Northeastern States, 18 percent. 

Trend 

The murder volume was up 4 percent nationwide in 
1989 over 1988. The Nation's cities overall experienced an 
increase of 6 percent, with upward trends recorded in all 
but two city population groupings. Of the cities, those with 
populations of 25,000 to 49,999 registered the greatest 
increase, 14 percent. Suburban counties recorded a 1- 
percent rise, while the rural counties registered a 3-percent 
decline. 

All regions experienced more murders during 1989 than 
in 1988. The number of murders was up 6 percent in the 



South; 4 percent in both the Northeast and Midwest; and 1 
percent in the West. 

The accompanying chart reveals a 13-percent rise 
nationally in the murder counts from 1985 to 1989. The 
10-year trend showed the 1989 total 7 percent below the 
1980 level, when the national murder total was at an all- 
time high. 

Rate 

Up 4 percent from 1988, the 1989 United States murder 
rate was 9 per 100,000 inhabitants. On a regional basis, the 
Southern States averaged 1 1 murders per 100,000 people; 
both the Western and Northeastern States, 8 per 100,000; 
and the Midwestern States, 7 per 100,000. Compared to 
1988, murder rates in 1989 increased 5 percent in the 
South; 4 percent in the Northeast; and 3 percent in the 
Midwest. The murder rate in the West was down 2 percent. 

The Nation's metropolitan areas reported a 1989 murder 
rate of 10 victims per 100,000 inhabitants. The rural 
counties, as well as cities outside metropolitan areas, 
registered a lower rate of 5 per 100,000. 

Nature 

Supplemental data provided by contributing agencies 
recorded information for 18,954 of the estimated 21,500 
murders in 1989. 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, 76 percent of the murder 
victims in 1989 were males; and 90 percent were persons 
1 8 years of age or older. Forty-nine percent were aged 20 
through 34 years. Considering victims for whom race was 
known, an average of 50 of every 100 were black, 49 were 
white, and the remainder were persons of other races. 



Murder by Month 1989 

Variation from Monthly Avcrasc 



10 T 



s: 




-15^ 



Jan. I*"et». IVfeBK. >Vf»r. IVfay Jlun. Jul. /V»^s. S<e|>t. Oct. ivjo-v. Oec 




Murder 

Percent Chanse 
from 1985 



Number of Offenses 
Known - Up 13% 



Rate per 100.000 
Inhabitants -Up 10% 



1985 



1986 



1987 



1988 



1989 



Age, Sex, and Race of Murder Victims, 1989 





Total 


Sex 


Race 


Age 


Male 


Female 


Unknown 


While 


Black 


Other 


Unknown 


Toial 


18.954 
100.0 


14.464 
76.3 


4.483 
23.7 


7 
7 


9.103 
48.0 


9,314 
49.1 


344 
1.8 


193 




1.0 






Under 18' 


1.899 
16.798 


1.281 
1 3.002 


616 
3.795 


2 


870 
8.106 


964 
8,256 


42 
299 


23 


18 and over' 


137 








Infant {under 1) 


254 

340 

159 

247 

2,001 

3.159 

3.300 

2,641 

1.922 

1.279 

847 

639 

466 

430 

313 

262 

438 

257 


134 

182 

82 

152 

1.673 

2.554 

2.596 

2.055 

1.491 

967 

650 

498 

364 

313 

202 

161 

209 

181 


118 
158 
77 
95 
328 
605 
704 
585 
431 
312 
197 
141 
102 
117 
111 
101 
229 
72 


2 


146 

194 

75 

124 

759 

1.296 

1.443 

1,241 

953 

682 

507 

372 

283 

255 

191 

168 

287 

127 


98 

134 

69 

114 

1,201 

1,790 

1,774 

1,332 

910 

547 

320 

244 

167 

169 

119 

87 

145 

94 


5 

11 

9 

5 

27 

56 

58 

47 

43 

30 

16 

13 

9 

2 

1 

5 

4 

3 


5 


1 10 4 


1 


5 lo 9 




6 


10 10 14 .. 




4 


15 to 19 




14 


20 to 24 




17 


25 lo 29 




25 


30 to 14 


' 


21 


15 to 19 


16 


40 to 44 




20 


45 to 49 




4 


50 to 54 




10 


55 to 59 




7 


60 to 64 




4 


65 to 69 




2 


70 to 74 




2 


75 and over 




2 




4 


33 







'Docs nol include unknown ages. 

Data based on incidents involving one victim and one 
offender showed that in 1989, 94 percent of the black 
murder victims were slain by black ofTenders, and 86 
percent of the white murder victims were killed by white 

Victim/Offender Relationship by Race and Sex, 1989 

[Single victim/single offender] 



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 


Total 
victims/ 
offenders 


Offender 




Race 


Sex 




While 


Black 


Other 


Unknown 


Male 


Female 


Unknown 


While 


Race 


5,205 

5,064 

186 

63 


4.462 

297 

51 

15 


645 

4.741 

">2 

15 


55 

12 

107 

1 


43 
14 
6 

32 


4,608 

4,2 1 3 

155 

30 


554 

837 

25 

1 


43 


Black 


14 


Other 


6 


Unknown 


32 






Male 


Sex 


7,818 

2.637 

63 


3.438 

1.372 

15 


4.220 

1.188 

15 


116 

58 

1 


44 
19 

32 


6,603 

2.373 
30 


1.171 

245 
1 


44 


Female 


19 




32 






Totals 


10.518 


4.825 


5.423 


175 


95 


9,006 


1.417 


95 







10 



As in previous years, firearms were the weapons used in 
approximately 3 of every 5 murders committed in the 
United States. Of those murders for which weapons were 
reported, 48 percent were by handguns, 6 percent by 
shotguns, and 5 percent by rifles. Other or unknown types 
of firearms accounted for another 4 percent of the total 
murders. Among the remaining weapons, cutting or stab- 
bing instruments were employed in 18 percent of the 
murders: blunt objects (clubs, hammers, etc.) in 6 percent; 
other dangerous weapons, such as poison, explosives, etc., 
in 8 percent; and personal weapons (hands, fists, feet, etc.) 
in the remainder. 

Murder, Type of Weapons Used, 1989 

(Percent distribution by region] 



Murder Victims, Type of Weapons Used, 1985-1989 



Weapons 



Total 



Region 


Total 

all 

weapons' 


Firearms 


Cutting 

or 
stabbing 
instru- 
ments 


Unknown 
or other 
danger- 
ous wea- 
pons 


Personal 
weapons 


Total 


100,0 


62.4 


18.2 


13.8 


5 5 






Nonheastem Slates 

Midwestern States 

Southern States 


100.0 
100.0 
100.0 
100.0 


60.1 
58.8 
65.8 
61.6 


19.9 
18.6 
17.5 
17.9 


13.2 
15.7 
12.3 

15.2 


6.8 
6.9 

4 4 




5 3 







Total Firearms 

Handguns 

Rifles 

Shotguns 

Other guns 

Firearms-nol stated 

Cutting or stabbing 

instruments 

Blunt objects (clubs. 

hammers, etc.) 

Personal weapons (hands. 

fists, feel, etc.)' 

Poison 

Explosives 

Fire 

Narcotics 

Drowning 

Strangulation 

Asphyxiation 

Other weapons or weapons 

not stated 



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 



17,963 



10,612 

7,847 

776 

1,101 

16 

872 

3,643 

1,045 

1,165 

34 

12 

200 

24 

51 

360 

115 

702 



1988 



17,971 



10,895 

8,147 

753 

1.105 

15 

875 

3,457 

1.126 

1,095 
15 
34 

255 
36 
38 

331 
73 

616 



1989 



18,954 



11,832 

9,013 

865 

1,173 

34 

747 

3,458 

1,128 

1.050 

II 

16 

234 

17 

60 

366 

101 

681 



'Pushed is included In personal weapons. 



'Because of rounding, percentages may not add to totals. 



Murder Victims — Weapons Used, 1989 





Total 


Weapons 


Age 


Fire- 
arm 


Cutting or 

slabbing 

instrument 


Blunt object 

(club, 

hammer, 

etc.) 


Personal' 

weapons 

(hands, 

fists, feet, 

etc.) 


Poison 


Explosives 


Arson 


Narcotics 


Strangu- 
lation 


Asphyxia- 
tion 


Other 
weapon or 

weapon 
not staled 


Tolal 


18.954 
100.0 


11,832 
62.4 


3,458 
18.2 


1,128 
6.0 


1,050 
5.5 


1 1 
.1 


16 

1 


234 
1.2 


17 
.1 


366 
1.9 


101 

.5 


741 


Percent 
distribution 


3 9 






Under 18' 


1,899 
16,798 

254 

340 

159 

247 

2.001 

3.159 

3,300 

2,641 

1,922 

1,279 

847 

639 

466 

4.30 

313 

262 

438 

257 


1,018 
10,686 

11 

59 

57 

156 

1,614 

2,306 

2,210 

1,690 

1.189 

796 

492 

346 

236 

203 

138 

98 

103 

128 


173 
3,241 

10 

21 

25 

35 

207 

517 

630 

550 

399 

241 

190 

142 

101 

106 

79 

68 

93 

44 


62 
1,050 

14 

16 

8 

8 

45 

114 

144 

140 

133 

100 

62 

63 

53 

51 

39 

40 

82 

16 


316 

722 

114 
154 
23 
9 
31 
77 
105 
111 
91 
65 
42 
36 
33 
29 
29 
22 
67 

12 


3 

7 

2 
1 

2 

3 
1 
1 

1 




67 
162 

7 

24 

20 

15 

8 

18 

27 

19 

22 

7 

7 

11 

11 

8 

6 

3 

16 
5 


8 
9 

4 

3 
1 


39 
316 

4 

7 

7 

5 

3! 

48 

63 

45 

27 

25 

17 

11 

8 

15 

9 

6 

27 

II 


53 
47 

25 
16 
6 
4 
3 
4 
5 
4 
5 
2 

1 
3 
6 
1 


160 




16 


542 


Infant (under 1) 


65 


1 to 4 




38 


5 to 9 




1 1 


10 to 14 




15 


15 to 19 . 




2 


60 


20 to 24 


2 

2 
3 
1 
2 

1 
1 
2 


71 


25 to 29 




1 14 


30 to 34 


2 

1 


77 


35 to 39 


54 


40 to 44 


41 


45 to 49 


2 


30 


50 to 54 


26 


55 to 59 




15 


60 to 64 




17 


65 to 69 




2 


10 


70 to 74 


1 
1 


2 
13 

1 


22 






36 


Unknown 




39 











'Pushed IS included in personal weapons. 
'Does not include unknown ages. 



11 



Over half the murder victims in 1989 were related to (15 
percent) or acquainted with (39 percent) their assailants. 
Thirteen percent of the victims were murdered by stran- 
gers, while the relationships among victims and offenders 
were unknown for 33 percent of the murders. Among all 
female murder victims in 1989, 28 percent were slain by 
husbands or boyfriends. Five percent of the male victims 
were killed by wives or girlfriends. 



Arguments resulted in 35 percent of the murders during 
the year. Twenty-one 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. Four percent of the murders were 
committed during brawls while offenders were under the 
influence of alcohol or narcotics. The table on the follow- 
ing page shows murder circumstances for the past 5 years. 



Murder Circumstances by Relationship, 1989 

[Percent distribution] 



Victim 


Total 


Felony 
type 


Suspected 
felony type 


Romantic 

triangle 


Argument 
over money 
or property 


Other 
arguments 


Miscellaneous 

non-felony 

type 


Unable to 
determme 


Total' .. 


100.0 


100.0 


100,0 


100,0 


100.0 


100,0 


100.0 


100 






Husband 


2.4 

4.1 

.7 

.9 

1.4 

1.6 

1.0 

.2 

2.3 

29.3 

4.7 

1.4 

2.6 

1.2 

13.1 

33.1 


.3 

.2 

.3 

.4 

.8 

.8 

.2 

1 

1,5 

27.5 

3.7 

.1 

.4 

1.2 

27.7 

34.8 




5.5 
8.1 


2.0 
1.5 
.9 

.7 


5.4 
8.1 

.9 
1.7 

.6 
1.2 
2.0 

.3 
3.9 
41.1 
7.2 
3.5 
5.4 
1.9 
9.4 
7.4 


2.3 

5.8 

1.3 

1.0 

4.8 

5.0 

1.2 

.1 

2.6 

33.0 

4.5 

1.2 

2.2 

.8 

15.3 

18,9 


4 


Wife 


1.3 


1.3 


Mother 


3 


Father 




.3 

.3 
.3 
.8 


4 


Daughter 




.4 


Son 




2 
1.6 


.6 


Brother 




.3 


Sister 


1.3 

1.3 

14.0 

1.3 




Other family 


1.3 

53.2 

10.9 

1.6 

9,6 

.8 

5,7 

1,8 


3.8 
55.0 
16.0 

1.3 

2.4 
2.5 
7.4 
4,7 


.8 


Acquaintances 


8.4 




1.0 


Boyfriend ... 


3 


Girlfriend 




.7 


Neighbor 


.7 
9,3 

70,7 


.3 




4.2 




80.6 







'Because of rounding, percentages may not add to totals. 



Murder Circumstances 


by Weapons, 1989 














Weapons 


Total 


Felony 
type 


Suspected 
felony 
type 


Romantic 
triangle 


Argument 
over money 
or properly 


Other 
arguments 


Miscellaneous 

non-felony 

type 


Unable to 
determine 


Total 


18.954 


4.049 


150 


385 


551 


5.736 


3.598 


4.485 






Firearms 


11.832 

3.458 

1.128 

1.050 

II 

16 

234 

17 

60 

366 

101 

681 


2,535 
587 
297 

197 
1 
8 

163 
5 
6 

120 
25 

105 


71 

39 

12 

6 


268 
78 
14 
14 


371 
122 
30 
21 


3.591 

1.446 

294 

259 

1 

1 

13 


2,287 

462 

166 

360 
7 
3 
31 
10 
31 
47 
43 

151 


2 709 


Culling or 

stabbing instruments 

Blunt objects 

(clubs, hammers, etc.) 

Persona! weapons 

(hands, fists, feet, etc.)' .... 


724 
315 

193 

2 


Explosives 




1 
1 




3 




1 




25 






2 


Drowning 


1 
8 

1 

11 


1 

4 




7 

52 

8 

64 


14 




3 


132 




24 


Other weapons 
or weapons not slated 


4 


4 


342 



'Pushed is Included in personal weapons. 



12 



Murder Circumstances, 1985-1989 

(Percent dislribulion] 



Tolal . . . 
Percent' 



Felony lolal: .. 

Robbery 

Narcotics 

Sex otTenscs . 

Arson 

Other felony 

Suspected felony 



Argument total: 

Romantic triangle . 
Properly or money 
Other arguments ... 

Miscellaneous 

non-felony types' . . 



Unknown 



WS.'i 



17.545 
100.0 



17.9 
9.2 

2.9 
1.5 
1.2 
.VI 

2.0 

J9.3 
2.3 
2.7 

.14.3 



1 986 



19.257 
100.0 



19.4 
9.5 
3.9 
1.5 
1.0 
3.4 

2.0 

37.5 
2.1 
2.4 

32.9 



18.6 

22.5 



1987 



17.963 
100.0 



19.6 
9.3 
4.9 
1.4 
.9 
3.0 

1.1 

36.8 
2.0 
2.6 

32.1 

17,6 
24.9 



1988 



17.971 
1 0(1.0 



19.0 
8.3 
5.6 
1.2 
1.0 
2.8 

1.3 

34.5 
1.7 
2.7 

30.1 



18.9 
26.3 



18.954 
100.0 



21.4 
9.1 
7.4 
1.1 
.9 
2.9 



35.2 
2.0 
2.9 

.30.3 

19.0 
23.7 



'Because of rounding, percentages may not add to totals. 

•Includes murders committed during brawls while oflcnder was under the influence of 
alcohol and/or narcotics. 

Clearances 

The clearance rate for murder continued to be higher 
than for any other Crime Index offense. Law enforcement 
agencies nationwide, as well as in the cities, were successful 
in clearing 68 percent of the murders occurring in their 
jurisdictions during 1989. Cities with populations from 
10,000 to 24,999 reported the most successful clearance 
rate, 79 percent. Seventy-five percent of murders in rural 
counties and 69 percent of those in suburban counties were 
cleared. 



Regionally, the Southern and Midwestern States regis- 
tered the highest clearance rate, 73 percent. Sixty-five 
percent were cleared in the Western States and 60 percent 
in the Northeastern States. 

Persons under 1 8 years of age accounted for 7 percent of 
the willful killings cleared by law enforcement nationally, 
as well as in the Nation's cities during 1989. This propor- 
tion of juvenile involvement was lower than for any other 
Index offense. Five percent of the suburban county and 4 
percent of the rural county clearances involved only 
persons in this young-age group. 

Persons Arrested 

Forty-nine percent of all murder arrestees in 1989 were 
under 25 years of age. The 18- to 24-year age group 
accounted for 36 percent of the total. 

Eighty-eight percent of those arrested were males and 12 
percent, females. Blacks comprised 56 percent of the total 
arrestees for murder in 1989. Whites made up 42 percent, 
and the remainder were of other races. 

The 1989 murder arrest total increased 5 percent above 
the 1988 figure. Arrests of persons aged 18 and over 
increased 3 percent, while those of younger persons were 
up 1 8 percent. During the same 2-year period, male arrests 
increased 5 percent and female arrests were up 2 percent. 

Long-term trends indicate the 1989 murder arrest total 
was 16 percent above the 1985 level and 1 1 percent higher 
than the 1980 figure. 



13 



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. 





TRFlSin 




Year 
1988 


Number of offenses 
92.486 


Rate per 100.000 

inhabitants 

37.6 

38.1 

+1.3 


1989 


94.504 


Percent change 


+2.2 







14 



Volume 

During 1989. there were an estimated 94,504 forcible 
rapes in the Nation. Rape ofTenses comprised 6 percent of 
the total violent crimes. Geographically, the Southern 
States, the region with the largest population, accounted 
for 37 percent of the forcible rapes reported to law 
enforcement. Following were the Midwest with 25 percent, 
the West with 23 percent, and the Northeast with 15 
percent. 

Monthly totals showed the greatest number of forcible 
rapes was reported during the summer, with July recording 
the highest frequency. The lowest total was registered in 
February. 

Forcible Rape by Month, 1985-1989 

(Pcrccni or annual lolal| 



Months 



Januar>' 
Februar>' 

March 

April 

May 

June 

July 

August . . . 
September 
October .. 
November 
December 



1985 



7,2 
6.6 
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 



1988 



7.4 
7.3 
8.0 
8.0 
9.0 
8.7 
9.9 
9.8 
9.0 
8.4 
7.6 
6.8 



1989 



7.4 
6.3 
7.7 
8.3 
8.6 
8.9 
10.0 
9.5 
8.8 
8.9 
8.3 
7.3 



Trend 

Compared to the previous year, the 1989 forcible rape 
volume increased 2 percent nationwide. In the cities 
collectively, the total was up 1 percent. The rural counties 
recorded a 12-percent increase and the suburban counties, 
a 5-percent rise. City trends ranged from 6-percent in- 
creases in those with populations of 10,000 to 24,999 and 
50,000 to 99,999 to a 4-percent decline in cities with 
500,000 or more inhabitants. 

Geographically, three of the four regions reported higher 
forcible rape volumes in 1989 as compared to 1988. The 
increases were 4 percent in the Western States, 3 percent in 
the Southern States, and 2 percent in the Midwestern 
States. The Northeastern States recorded the only decrease, 
2 percent. 

National trends for 5 and 10 years show that the forcible 
rape total rose 7 percent over 1985 and 14 percent above 
1980. 

Rate 

By Uniform Crime Reporting definition, the victims of 
forcible rape are always female. In 1989, an estimated 75 of 
every 100,000 females in the country were reported rape 



victims, an increase of 2 percent from the 1988 rate. Since 
1985, the female forcible rape rate has risen 3 percent. 

Female forcible rape rates for 1989 showed there were 
83 victims per 100,000 females in MSAs, 53 per 100,000 
females in cities outside metropolitan areas, and 41 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 
80, the Midwestern States with 76, and the Northeastern 
States with 55. 

Nature 

Of all reported forcible rapes during 1989, 83 percent 
were rapes by force. The remainder were attempts or 
assaults to commit forcible rape. A 4-percent increase was 
registered in the number of rapes by force, while attempts 
to commit rape decreased 5 percent from the 1988 figure. 

Clearances 

Nationwide and in the cities, 52 percent of the forcible 
rapes reported to law enforcement were cleared by arrest or 
exceptional means in 1989. Rural county law enforcement 
agencies cleared 55 percent of the offenses brought to their 
attention, while suburban county agencies cleared 51 
percent. 

Clearance rates for the regions ranged from 46 percent in 
the Midwestern States to 59 percent in the Southern States. 
In the Northeastern States, the clearance rate for forcible 
rape was 54 percent, and in the Western States, it was 49 
percent. 

Of the total clearances for forcible rape in the country as 
a whole, 10 percent involved only persons under 18 years 
of age. The rural and suburban counties also recorded a 10- 
percent involvement of this age group, while in the 
Nation's cities, only persons under 18 accounted for 9 
percent of the forcible rape clearances. 

Persons Arrested 

The number of arrests for forcible rape rose 1 percent 
nationwide from 1988 to 1989. Arrests for this offense rose 
8 percent in the rural counties and 6 percent in the 
suburban counties. The Nation's cities experienced a 1- 
percent decline in forcible rape arrests. For the 5-year 
period, 1985 to 1989, the total forcible rape arrests, those 
of adults, and of persons under 1 8 years of age showed 
virtually no change. 

Of the forcible rape arrestees in 1989, 44 percent were 
persons under the age of 25, with 28 percent of the total 
being in the 18- to 24-year age group. Fifty-two percent of 
those arrested were white, 47 percent were black, and the 
remainder, other races. 



15 



Forcible Rape by Month 1989 

Variation from Monthly Averase 




Jtstwm. I^«t». IVIekc /*k.f»i-. IVIay Jun. Jul. y%ju^}. Sofnt. Ott. !>!«»■»•. ■>*?*;. 







Forcible 
Rape 

Percent Chanse 
from 1985 



Number of Offenses 
Known - Up 7% 



Rate per 100.000 
Inhabitants - Up 3% 



16 



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 

1988 542.968 

1989 578.326 

Percent change +6.5 



Rate per 100.000 

inhabitants 

220.9 

233.0 

+ 5.5 



17 



Volume 

Estimated at 578,326 offenses in 1989, robbery account- 
ed for 4 percent of all Index crimes and 35 percent of the 
crimes of violence. During the year, robberies occurred 
most frequently in December and least often in April. 

Robbery by Month, 1985-1989 

[Percent of annual total] 



Months 



January 
February 

March 

April 

May 

June 

July 

August ... 
September 
October . . 
November 
December 



1985 



8.6 
7.4 
7.9 
7.3 
7.5 
7.7 
8.6 
8.9 
8.4 
9.1 
8.8 
9.7 



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 



1988 



8.6 
7.9 
8.0 
7,3 
7.6 
7.6 
8.4 
8.7 
8.7 
9.1 
9.0 
9.2 



1989 



8.8 

7.4 
8.0 
7.3 
7.6 
7.6 
8.4 
8.6 
8.6 
9.2 
9.0 
9.3 



Distribution figures for the regions showed that the most 
populous Southern States registered 32 percent of all 
reported robberies. Following were the Northeastern States 
with 28 percent, the Western States with 21 percent, and 
the Midwestern States with the remainder. 

Trend 

Upward trends in robbery were evident nationwide and 
throughout all population groups in 1989. Nationally and 
in cities overall, the 1989 robbery volume was 7 percent 
higher than the 1988 level. The suburban counties experi- 
enced a 6-percent increase in robberies, and the rural 
counties, a 2-percent rise. Of the cities, those with popula- 
tions of 250,000 to 499,999 registered the greatest increase, 
9 percent. 

Two-year trends show the number of robberies in 1989 
was up in all four regions as compared to 1988. The 
increases were 8 percent in both the Northeast and the 
West and 5 percent in the South and the Midwest. 

The accompanying chart depicts the trend in the robbery 
volume, as well as the robbery rate, for the years 1985- 
1989. In 1989, the number of robbery offenses was 16 
percent higher than in 1985 and 2 percent above the 1980 
total. 

Rate 

The national robbery rate in 1989 was 233 per 100,000 
people, 5 percent higher than in 1988. In metropolitan 



areas, the robbery rate was 293; in cities outside metropoli- 
tan areas, it was 58; and in the rural areas, it was 16. With 
992 robberies per 100,000 inhabitants, the highest rate was 
recorded in cities with a million or more inhabitants. 

A comparison of 1988 and 1989 regional rates showed 
an 8-percent increase in the Northeast, which had a rate of 
323 per 100,000 population. The rates of 236 in the West 
and 177 in the Midwest were each up 5 percent, and the 
South's rate of 217 was 4 percent higher. 

Nature 

In 1989, a total estimated national loss of $405 million 
was due to robberies. The value of property stolen during 
robberies averaged $701 per incident. Average dollar losses 
ranged from $364 taken during robberies of convenience 
stores to $3,591 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 (55 percent) of the offenses in 
this category. Robberies of commercial and financial 
establishments accounted for an additional 22 percent, and 
those occurring at residences, 10 percent. The remainder 
were miscellaneous types. By type, all categories of robbery 
showed increases from 1988 to 1989. The increases ranged 
from 1 percent for residential robberies to 9 percent for 
street/highway robberies. 

Robbery, Percent Distribution, 1989 

[By region) 





United 
States 
Total 


North- 
eastern 
States 


Mid- 
western 
States 


Southern 
Stales 


Western 
States 


Total' 


100.0 


100.0 


100.0 


100.0 


100.0 








54.9 
11.8 
2.8 
6.3 
9.8 
1.4 
12.9 


64.5 
8.0 
2.1 
2.0 

10.3 
.8 

12.3 


56.5 
10.7 
3.8 
4.0 
9.7 
1.0 
14.4 


45.6 
14.7 

3.0 
13.0 
11.0 

1.1 
11.6 


51.8 


Commercial house 

Gas or service station ... 
Convenience store 


14.3 
2.7 
6.4 
8.2 


Bank . . . 


2.7 


Miscellaneous ... 


13.9 







'Because of roundmg, percentages may not add to totals. 



18 






Robbery by Month 1989 

Variation from Monthly Averasc 




.fxkii. I<"-et». IVIauc. y%.p«v IVIay Jm«»m. JkiI. .A.«i^5. Sic^pt. Oc:t. Mo-v. I3ec 





16 










14 








s 


12 
10 

8 






] 


Robbery 

Percent Change 
from 1985 










6 

4 

2 

A i 








' • Number of Offenses 
Known -Up 16% 

■ Rate per 100,000 
Inhabitants - Up 12% 






4,5 1 — ■ I I I 

1985 1986 1987 1988 1989 





19 



Robbery, Percent Distribution, 1989 

[By population group] 





Group 1 (60 

cities. 250.000 

and over; 

population 

43.968.000) 


Group II (112 
cities. 100.000 to 
249.999; popula- 
tion 16.446.000) 


Group 111 (306 
cities. 50.000 to 
99.999; popula- 
tion 20.992.000) 


Group IV (644 
cities. 25,000 to 
49,999; popula- 
tion 22,079,000) 


Group V (1.561 
cities. 10,000 to 
24,999; popula- 
tion 24,527,000) 


Group VI (6,158 
cities under 
10,000; popula- 
tion 21,946,000) 


County 

agencies 

(3,795 agencies; 

population 

69,063,000) 


Tola|i 


100.0 


100.0 


100.0 


100.0 


100.0 


100.0 


100.0 






Street/highway . 


62.5 
9.7 
1.8 
3.7 
9.7 
.9 

11.6 


53.8 
12.3 
3.1 
8.4 
9.1 
1.7 
11.5 


46.6 
15.2 
4.0 
8.9 
9.1 
2.1 
14.1 


40.5 

15.8 
4.6 

10.1 
9.6 
2.4 

17.0 


33.9 
16.1 

6.6 
12.7 
10.2 

2.4 
18.1 


27.4 
17.0 

S.8 
15.6 
11.7 

2.6 
20.0 


30.6 




18.1 


Gas or service station 


5.4 
14.3 


Residence ... 


12.6 




2.1 




16.9 







'Because of rounding, percentages may not add to totals. 

Forty-three percent of all robberies in 1989 were com- 
mitted 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 remainder. A compari- 
son of 1988 and 1989 robbery totals by weapon showed 
those by both strong-arm tactics and firearms were up 8 
percent; those by knives or cutting instruments rose 3 
percent; and those by other dangerous weapons increased 6 
percent. 

Robbery, Type of Weapons Used, 1989 

[Percent distribution by region] 





Total 

all 

weapons' 


Armed 




Region 


Fire- 
arms 


Knives or 
cutting 
instru- 
ments 


Other 
weapons 


Strong- 
armed 


Total 


1000 


33.2 


13.4 


10.5 


42.9 






Northeastern Slates . . . . 
Midwestern States 


100.0 
100.0 
100.0 
100.0 


29.0 
33.0 
39.2 
32.4 


15.5 
12.0 
11.6 
13.6 


10.0 
12.9 
10.7 
8.9 


45.4 
42.1 
38.5 




45.1 







'Because of rounding, percentages may not add to totals. 

Clearances 

Twenty-six percent of the robbery offenses reported to 
law enforcement were cleared during 1989. The highest 
robbery clearance rate — 39 percent — was registered by 



rural county law enforcement agencies. Suburban county 
agencies cleared 30 percent and those in cities, 26 percent. 
Regional robbery clearance percentages were 30 percent in 
the South, 26 percent in the West, 24 percent in the 
Northeast, and 23 percent in the Midwest. 

Nationally and in cities, persons under the age of 18 
were the offenders in 11 percent of all 1989 robbery 
clearances. This age group accounted for 9 percent of the 
suburban county clearances and 5 percent of the rural 
county clearances. 

Persons Arrested 

Arrests for robbery rose 10 percent nationwide during 
1989 when compared to 1988. For the same 2-year period, 
increases in the number of persons arrested for robbery 
were 1 1 percent in the cities collectively, 5 percent in the 
suburban counties, and 1 percent in the rural counties. 

Sixty percent of all robbery arrestees in 1989 were under 
25 years of age, and 91 percent were males. Sixty-five 
percent of those arrested were black, 34 percent were 
white, and the remainder were of other races. 

The total number of robbery arrests was up 14 percent 
during the 5-year period, 1985-1989. For the same time- 
span, arrests of females for robbery jumped 28 percent, 
and male arrests increased 1 3 percent. Juvenile arrests rose 
1 percent, and those of persons 18 years of age and older 
increased 19 percent. 



20 



B 
V 

w 

a. 



Street Robbery 



P„c««^a-P«n»l«5 




Robbery off Commercial House 



PercenUie aunge bom 19S5 
Up 23% 



1985 



1M6 1987 ISeg 1989 




Robbery off Gas Station 


1 ' 

2 


Fstoentaie Cbmge from 198S 
DamiX 




«. 1 

B 

« A 

«£: -^ 

-2 
-3 


^^^^^ 


a 


\ 




/ 


•4 




V 


11 


1985 1986 1987 1988 1989 


i» 



B 



Robbery off Convenience Store 



30 




Percentiin Oumge fton 1985 
Up 28% 




25 


^^^fl 


20 




J^^H 


15 


/ 




10 


/ 




5 

A 




r ^ 


/ 





1965 



1986 



1987 



1988 



19W. 



Robbery off Residence 




PaocDUge Chame fram 19SS 




12 






m 


10 




^ 


:f 


Percent 

» ae 




▲. . 






'^R 




^. — — -'^" 








4 


1 














2 
8 


/ 












€ 


] 


1985 


1966 1987 1968 


198 


» 



Banif Robbery 




21 



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 

1988 910.092 

1989 951.707 

Percent change +4.6 



Rate per 100.000 

inhabitants 

370.2 

383.4 

+3.6 



22 



Volume 

Totaling an estimated 951,707 offenses nationally, ag- 
gravated assaults in 1989 accounted for 58 percent of the 
violent crimes. Geographic distribution figures show that 
37 percent of the aggravated assault volume was accounted 
for by the South, 25 percent by the West, and 19 percent 
each by the Northeast and Midwest. 

The 1989 monthly figures show that the greatest number 
of aggravated assaults was recorded during July, while the 
lowest volume occurred in February. 

Aggravated Assault by Month, 1985-1989 

[Percent of annual total] 



Months 



January 
February 

March 

April 

May 

June 

July 

August 
September 
October . . 
November 
December 



1985 



7.0 
6.8 



9.0 

9.5 
9.5 
8.9 
8.8 
7.9 
7.4 



1986 



6.8 

6.-1 

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 



1988 



7.2 
7.0 
7.9 
8.1 
8.9 
9.0 
9.8 
9.8 
9.0 
8.4 
7.5 
7.5 



1989 



7.5 
6.6 
7.9 
8.1 
8.9 
8.9 
9.6 
9.2 
8.8 
9.1 
7,9 
7.5 



Trend 

In 1989, aggravated assaults were up nationwide, as well 
as in all regions and population groups, as compared to 
1988. The Nation and all cities collectively each recorded 
5-percent increases, while the suburban and rural counties 
experienced 4-percent jumps for the 2-year period. By 
population grouping, cities with 100,000 to 249,999 inhab- 
itants recorded the greatest rise, 8 percent. During the 
same time period, the South and West registered 6-percent 
upswings in their aggravated assault volumes, while in- 
creases of 3 and 2 percent were recorded in the Midwest 
and Northeast, respectively. 

Five- and 10-year trends show aggravated assaults up 32 
percent above the 1985 level and 41 percent over the 1980 
experience. 

Rate 

Up 4 percent above the 1988 rate, there were 383 
reported victims of aggravated assault for every 100,000 



people nationwide in 1989. The rate was 27 percent higher 
than in 1985 and 28 percent above the 1980 rate. 

Higher than the national average, the rate in metropoli- 
tan areas was 435 per 100,000 in 1989. Cities outside 
metropolitan areas experienced a rate of 304, and rural 
counties, a rate of 147. 

Regionally, the aggravated assault rates ranged from 468 
per 100,000 people in the West to 306 per 100,000 in the 
Midwest. The rate in the South for 1989 was 406, and in 
the Northeast, 351. In the South, the rate was up 5 percent 
in 1989 over 1988. The Midwest and the West each 
showed rate increases of 3 percent, while the rate in the 
Northeast rose 2 percent. 

Nature 

In 1989, 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 27 percent of the 
offenses; firearms in 22 percent; and knives or cutting 
instruments in the remainder. 

Assaults with firearms showed the greatest increase from 
1988 to 1989, 8 percent. Those committed with knives or 
cutting instruments were up 1 percent, those involving 
blunt objects or other dangerous weapons increased 6 
percent, and those in which personal weapons were used 
rose 4 percent. 

Aggravated Assault, Type of Weapons Used, 1989 

[Percent distribution by region] 



Region 


Total 

all 

weapons' 


Fire- 
arms 


Knives or 
cutting 
instru- 
ments 


Other 

weapons 

(clubs. 

blunt 
objects, 

etc.) 


Personal 
weapons 


Total 


100.0 


21.5 


19.9 


31.9 


•>6 8 






Northeastern Slates 


100.0 
100.0 
100.0 
100.0 


16.3 
23.6 

25.3 
19.5 


22.5 
20.5 
22.0 
15.4 


34.9 
32.9 
30.7 
30.1 


26.3 
23 1 


Southern States 


22 


Western States 


34 9 







'Because of rounding, percentages may not add lo totals. 



23 



e 



Assravated Assault by Month 1989 

Variation from Monthly Averase 




JFaw. l*"**!*. lV«a«i <A^|>r. IVIaey JFun. .ful. /^ng. SeI^*. Oet. r><J«»v. I>t»*^ 



35 ■ 

30 

- 25' 

Z 20 ■ 

^ 15- 

10 

5 • 
1 


Jh^ ip 


] 


Assravated 
Assault 

Percent Chanse 
from 1985 






'' Number of Offenses 
Known - Up 32% 

■ Rate per 100,000 
Inhabitants - Up 27% 




e 
It 


)85 1986 1987 1988 19 


89 







24 



Clearances 

During 1989, law enforcement agencies nationwide 
cleared 57 percent of the aggravated assaults reported. The 
cities collectively reported a 56-percent clearance rate, 
while the suburban and rural county law enforcement 
agencies cleared 59 and 64 percent, respectively. Among 
the city groupings, those with populations under 10,000 
recorded the highest clearance rate, 66 percent. 

Regional clearance percentages for aggravated assault 
were 59 percent in the Southern States, 58 percent in the 
Western States, 55 percent in the Midwestern States, and 
53 percent in the Northeastern States. 

Ten percent of the clearances reported by city agencies 
involved only persons under age 18. Persons in this age 
group were identified as the assailants in 9 percent of the 
national clearances, 8 percent of the suburban county 
clearances, and 6 percent of those in rural counties. 



Persons Arrested 

The estimated 459,000 persons arrested for aggravated 
assault in 1989 represented 67 percent of all arrestees for 
violent crimes. Whites comprised 57 percent of the ar- 
restees; blacks, 41 percent; and all other races, the remain- 
der. Eighty-seven percent of the arrestees were males and 
13 percent, females. 

Total arrests, as well as arrests of adults, for aggravated 
assault were up 9 percent in 1989 from the 1988 total. 
During this 2-year period, arrests of persons under age 18 
increased 15 percent. A comparison of 1985 and 1989 
figures showed increases of 49 percent for total arrests, 40 
percent for juvenile arrests, and 50 percent for adult 
arrests. 



25 



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. 





TPFNn 








Rate per 100.000 


Year 


Number of offenses 


inhabitants 


1988 


3.218.077 


1.309.2 


1989 


3.168.170 


1.276.3 


Percent change 


-1.6 


-2.5 



26 



Volume 

An estimated 3,168,170 burglaries occurred in the 
United States during 1989. These offenses accounted for 
22 percent of the total Crime Index and 25 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 42 percent of the total. The 
Western States followed with 23 percent, the Midwestern 
States with 19 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 February. 

Burglary by Month, 1985-1989 

(Percent or annual total) 



Months 



January 
February 

March 

April 

May 

June 

July 

August 

September 

October 

November 

December 



1985 



8.2 
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 



1988 



8.4 
7.8 
8.1 
7.5 
8.1 
8.0 
8.8 
9.3 
8.6 
8.5 
8.4 
8.5 



1989 



8.8 
7.3 
8.2 
7.7 
8.4 
8.3 
9.2 
9.3 
8.6 
8.5 
8.1 
7.8 



Trend 

Nationwide, the burglary volume decreased 2 percent in 
1989 from the 1988 total. By population groupings, the 
only increases were registered in cities under 10,000 in 
population, with a rise of less than one-half of 1 percent, 
and in the rural counties, 1 percent. 

Geographically, all four regions of the United States 
reported decreases in burglaries during 1989 as compared 
to 1988. The declines were 2 percent in the Western and 
Midwestern States, and 1 percent in the Northeastern and 
Southern States. 

Rate 

A burglary rate of 1,276 per 100,000 inhabitants was 
registered nationwide in 1989. The rate fell 3 percent from 
1988 and was 24 percent below the 1980 rate, the highest 
in history. In 1989, for every 100,000 in population, the 



rate was 1,412 in the metropolitan areas, 1,040 in the cities 
outside metropolitan areas, and 673 in the rural counties. 
Regionally, the burglary rate was 1,554 in the Southern 
States, 1,388 in the Western States, 1,013 in the Midwest- 
ern States, and 1,007 in the Northeastern States. A 
comparison of 1988 and 1989 rates showed decreases of 5 
percent in the West, 3 percent in the Midwest, 2 percent in 
the South, and 1 percent in the Northeast. 

Nature 

Two of every 3 burglaries in 1989 were residential in 
nature. Seventy percent of all burglaries involved forcible 
entry, 22 percent were unlawful entries (without force), and 
the remainder were forcible entry attempts. Offenses for 
which time of occurrence was reported showed that 49 
percent happened during the daytime hours and 51 percent 
during the nighttime hours. 

Burglary victims suffered losses estimated at $3.4 billion 
in 1989, and the average dollar loss per burglary was 
$1,060. The average loss for residential offenses was 
$1,080, while for nonresidential property, it was $1,023. 

Residential burglary showed a 3-percent decline from 
1988 to 1989; nonresidential offenses showed a 2-percent 
increase during the same period. 

Clearances 

Geographically, 14 percent of the burglaries brought to 
the attention of law enforcement agencies across the 
country and in the Northeast were cleared in 1989. In the 
South, the clearance rate was 16 percent; in the West, 13 
percent; and in the Midwest, 12 percent. 

Rural county law enforcement cleared 16 percent of the 
burglaries in their jurisdictions. Equivalent to the national 
experience, 14-percent clearance rates were recorded by 
agencies in cities and suburban counties. 

Adults were involved in 83 percent of all burglary 
offenses cleared, and only young people under 1 8 years of 
age were offenders in the remaining 17 percent. Similar to 
the national experience, persons under age 18 accounted 
for 17 percent of the burglary clearances in cities. Subur- 
ban and rural county law enforcement agencies reported 1 8 
and 19 percent, respectively, of their burglary clearances 
involved only juveniles. The highest degree of juvenile 
involvement was recorded in the Nation's smallest cities 
(under 10,000 in population) where young persons under 
18 years of age accounted for 23 percent of the clearances. 



27 



Burslary by Month 1989 

Variation from Monthly Averase 



0^ 



QJ 




.txktt. i^'til*. IVIiir. y^f»r. IVIay Juiii. .Bui. .A^mi|3». J>»<e|>t. Ott. rvi«»v. E>c!t.-. 







Burglary 

Percent Chanse 
from 1985 



Number of Offenses 
Known - Up 3% 



Rale per 1 00.000 
Inhabitants- Up 1% 



1985 



1986 



1987 



1988 



1989 



28 



Residence Burslary-Nishttime 







Percentaxe C3iuue bom 1985 
Down 2% 




8 




^^^ 




7 




^^^^^ 




6 




^^^^^^^^ 


"S 


S 

4 
3 
2 




^^^S^m 


Ik^^ 




1 










f^~\ 






"\^ 




-1 




^\^^ 




-2'- 


^ 




IS 


«s 


1» 


M 1987 1988 198 



Residence Burglary-Daytime 




Nonresidence Bursiary-Daytime 


25 


Percentage Change ttam 198S 
Up 24* 


20 






Percent 










5 

A 












1985 4986 1987 1988 1989 



Nonresidence Bur^iarv-NiQlittime 




«V m 


^ 


Percentage Change from 1985 
Down 2% 


3 


^^ 


2 


^^^ 


= 1 


■J^^^ 


V 




Si o 


ji^m^^^mmBMaM^KmBKKn^ll^^. 




\] 






-2 


^\^ 


^^^ 




-3 


^ 


^^'^ 


1985 1986 1987 1988 1989 



29 



Persons Arrested percent, while those for adults rose 6 percent. For the same 

In the UCR Program, several persons may be arrested in 2-year time period, total burglary arrests in cities and 

connection with the clearance of one crime, or the arrest of suburban counties were up 3 percent, while m the rural 

one individual may clear numerous offenses. The latter is ^^o^^tie^' they rose 9 percent m number, 
often true in cases of burglary for which an estimated Ninety-one percent of the burglary arrestees durmg 1989 

468,900 arrests were made in 1989. Arrest trends between ^^re males and 65 percent were under 25 years of age. Of 

1988 and 1989 show a 3-percent increase in total burglary '^e total burglary arrestees, whites accounted for 66 

arrests. Arrests of persons under 18 years of age dropped 1 Pe'"'^^"^, blacks for 32 percent, and other races for the 

remainder. 



30 



LARCENY-THEFT 



DEFINITION 



Larceny-theft is the unlawful taking, carrying, leading, or riding away of property 
from the possession or constructive possession of another. It includes crimes such as 
shoplifting, pocket-picking, purse-snatching, thefts from motor vehicles, thefts of 
motor vehicle parts and accessories, bicycle thefts, etc., in which no use of force, 
violence, or fraud occurs. In the Uniform Crime Reporting Program, this crime 
category does not include embezzlement, "con" games, forgery, and worthless 
checks. Motor vehicle theft is also excluded from this category inasmuch as it is a 
separate Crime Index offense. 





TRFNn 




Year 

1988 


Number of offenses 
7,705.872 


Rate per 100.000 
inhabitants 
3,134.9 
3,171.3 

+ 1.2 


1989 


7,872,442 


Percent change 


+ 2.2 



31 



Volume 

Estimated at nearly 7.9 million offenses during 1989, 
larceny-thefts comprised 55 percent of the Crime Index 
total and 62 percent of the property crimes. Similar to the 
experience in previous years, larceny-thefts were recorded 
most often during August and least frequently in February. 
When viewed geographically, the most populous Southern 
States recorded 37 percent of the larceny-theft total. The 
Western States registered 24 percent; the Midwestern 
States, 22 percent; and the Northeastern States, 17 percent. 

Larceny-Theft by Month, 1985-1989 

[Percent of annual total] 



Months 



Januai7 
February . 

March 

April 

May 

June 

July 

August 

September 

October 

November 

December 



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 
8.2 
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 



1988 



7.6 
7.5 
8.2 
7.8 
8.3 
8.5 
9.0 
9.5 
8.5 
8.7 



1989 



8.0 
7.2 
8.2 
8.0 
8.6 
8.7 
9.2 
9.5 
8.3 
8.6 
8.0 
7.7 



Trend 

Upward trends in the 1989 volume of larceny-thefts 
were evident nationwide and in all population groups when 
compared to 1988. The Nation, all cities collectively, and 
the suburban and rural counties each showed 2-percent 
increases. Regionally, volume upswings of 3 percent were 
recorded in both the Midwestern and the Southern States. 
The Western States registered a 2-percent increase, while 
the Northeastern States showed virtually no change. 

The 5- and 10-year national trends indicated larceny was 
up 14 percent over the 1985 total and rose 10 percent 
above the 1980 level. 

Rate 

The 1989 larceny-theft rate was 3,171 per 100,000 
United States inhabitants. While the 1989 rate was 1 
percent higher than in 1988 and 9 percent above the 1985 
level, it showed no change from 1980. The 1989 rate was 
3,534 per 100,000 inhabitants of metropolitan areas; 3,380 
per 100,000 population in cities outside metropolitan 
areas; and 995 per 100,000 people in the rural counties. 

Regionally, the rates of 3,404 in the South and 2,936 in 
the Midwest were up 2 percent over 1988 levels. Showing 
no change from 1988, the 1989 rates per 100,000 inhab- 



itants in the West and the Northeast were 3,633 and 2,586, 

respectively. 

Nature 

During 1989, the average value of property stolen due to 
larceny-theft was $462, up from $426 in 1988. When the 
average value was applied to the estimated number of 
larceny-thefts, the loss to victims nationally was $3.6 
billion for the year. This estimated dollar loss is considered 
conservative since many offenses in the larceny category, 
particularly if the value of the stolen goods is small, never 
come to law enforcement attention. Losses in 24 percent of 
the thefts reported to law enforcement in 1989 ranged from 
$50 to $200, while in 35 percent, they were over $200. 

Losses of goods and property reported stolen as a result 
of pocket-picking averaged $303; purse-snatching, $244; 
and shoplifting, $102. Thefts from buildings resulted in an 
average loss of $747; from motor vehicles, $502; and from 
coin-operated machines, $153. The average value loss due 
to thefts of motor vehicle accessories was $315 and for 
thefts of bicycles, $204. 

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 shoplifting, accounting for 16 percent; thefts from 
buildings, 15 percent; and bicycle thefts, 5 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 Analysis by Region, 1989 

[Percent distribution] 





United 
States 
Total 


North- 
eastern 
Stales 


Mid- 
western 
States 


Southern 
States 


Western 
Slates 


Total' 


100.0 


100.0 


100.0 


100.0 


100.0 








1.0 

1.1 

15.6 

22.0 

15.6 

5.5 
14,7 

.8 

23.7 


3.5 
2.1 
13.0 

22.5 

16.5 
5.4 
18.5 

1.2 
17.2 


.6 

1.1 

13.3 

18.8 

15.4 
5.6 
19.0 

.6 

25.5 


.3 

.9 

15.9 

19.3 

17.4 
4.0 
11.7 

.9 
29.6 


.4 




.7 




19.1 


From motor vehicles 

(except accessories) . . . . 
Motor vehicle 


27.6 
12.9 




7.2 




119 


From coin-operated 


.6 




19.4 







'Because of rounding, percentages may not add lo totals. 



32 



Larccny-Thcft by Month 1989 

Variation from Monthly Averase 







.Ixkn. Ifel*. rVlsKK. yX.f>tr. IVl»y J«r». Ji«il. ^^ug. Sept. Oct. INt«»v. I^ec. 



0^ 




Larceny- 
Theft 

Percent Change 
from 1985 



■ ' Number of Offenses 
Known - Up 14% 



Rate per 100,000 
Inhabitants - Up 9% 



33 



Clearances 

Twenty percent of the reported larceny-thefts were 
cleared nationwide during 1989. The cities collectively 
recorded a 21 -percent clearance rate, with the highest rate, 
25 percent, reported by law enforcement agencies in cities 
from 10,000 to 24,999 in population. Those in suburban 
and rural counties recorded 17-percent and 18-percent 
clearance rates, respectively. 

In 1989, law enforcement agencies in the Western States 
cleared 21 percent of the larceny offenses brought to their 
attention. The clearance rates in the Southern and Mid- 
western States were 20 percent, and in the Northeast, 19 
percent. 

Twenty-one percent of the larceny-theft clearances na- 
tionally and in the cities involved only offenders under 18 
years of age. Nineteen percent of those in suburban 
counties and 16 percent of those in rural counties were 
accounted for by persons in this age group. 

Persons Arrested 

Between 1988 and 1989, the total number of persons 
arrested for larceny-theft increased 4 percent. Male and 



female arrests each rose 4 percent, also. During this same 
period, adult arrests were up 6 percent, while those of 
persons under 1 8 years of age showed no change. 

Considering a longer timeframe, larceny-theft arrests 
jumped 12 percent for the 5-year period, 1985-1989. Those 
of adults were up 19 percent, while juvenile arrests 
declined 2 percent. During this 5-year timespan, male and 
female arrests rose 13 and 12 percent, respectively. 

Larceny-thefts not only comprised the largest portion of 
Crime Index offenses reported to law enforcement, this 
offense accounted for 53 percent of the arrests for Index 
crimes and 69 percent of those for property crimes in 1989. 
Forty-three percent of the larceny arrests were of persons 
under 21 years of age, and 29 percent of the arrestees were 
under 18. Females, who were arrested for this offense more 
often than for any other in 1989, comprised 30 percent of 
all larceny-theft arrestees. 

Whites accounted for 64 percent of the total larceny- 
theft arrests, blacks for 33 percent, and all other races for 
the remainder. 



34 



B 

eu 



Pocket-Pickins 



Peiceottge Chasse bom 198S 
DownM 




Purse-Snatchins 



PaceaUge Ouiue tram 198S 



B 

a. 



12 

10 

8 

6 

4 

2 




Up 2' 



/^*^^^^ 



1985 



198« 1967 1988 1989 



1985 1986 1987 1988 1989 



Shopliftins 






Then from Motor Vehicles 






30 


PocsBtage CSunge tram 1985 
Up 26% 


25 


^ 


B ^ 
*■ 10 




r--^ 


^ 


5 

A 











1985 



1986 



1987 



1988 



1989 



Theft of Motor Vehicle Accessories 


Perceati^ aumn from 1985 
Up6% 


8 

B ' 






ll^ 




3 












2 












1 

























19«S 1986 1987 1988 1989 



Theft of Bicycles 



Pracentage Change from 1985 
Down2% 




-25 L 
1985 



1986 



1987 



1988 



1989 



Theft from Buildinss 




Theft from Coin Machines 



Percentage diange tram 1985 
Up 15* 




1985 



1986 



1987 



1988 



1989 



35 



LARCENY-THEFT 

Percent Distribution by lype of Theft 

1989 




Purse-Snatching 1% 
Pocket-Picking 1% 
Coin Machines 1% 

Shoplifting 16% 

Bicycles 5% 



From Motor Vehicles 22% 



From Buildings 15% 



Motor Vehicle 
Accessories 16% 



All Others 24% 



36 



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 

1988 1.432.916 

1989 1.564.800 

Percent change +9.2 



Rate per 100.000 

inhabitants 

582.9 

630.4 

+8.1 



37 



Volume 

An estimated total of 1,564,800 thefts of motor vehicles 
occurred in the United States during 1989. These offenses 
comprised 12 percent of all property crimes. The regional 
distribution of motor vehicle thefts showed 31 percent of 
the volume was in the Southern States, 26 percent in the 
Western States, 25 percent in the Northeastern States, and 
18 percent in the Midwestern States. 

The 1989 monthly figures show that the greatest num- 
bers of motor vehicle thefts were recorded during August 
and October, while the lowest count was in February. 

Motor Vehicle Theft by Month, 1985-1989 

[Percent of annual total] 



Months 



January 
Februai7 . 

March 

April 

May 

June 

July 

August ... 
September 
October . . 
November 
December 



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 



1988 



8.0 
7.6 
7.9 
7.4 
7.8 
8.0 
8.8 
9.4 
8.7 
9.0 
8.7 
8.7 



1989 



8.3 
7.3 
8.1 
7.5 
8.0 
8.2 
8.8 
9.0 
8.5 
9.0 
8.7 
8.5 



Trend 

The number of motor vehicle thefts increased 9 percent 
nationally from 1988 to 1989. This upward trend was 
evident in all population groups with cities having popula- 
tions of 100,000 to 249,999 showing the largest increase, 
1 3 percent. Suburban and rural counties showed increases 
of 8 percent and 3 percent, respectively. 

Geographically, all four regions experienced motor vehi- 
cle theft increases. The increases were 12 percent in the 
Western Region, 10 percent in the Southern Region, 8 
percent in the Northeastern Region, and 6 percent in the 
Midwestern Region. 

The accompanying chart shows that the volume of 
motor vehicle thefts in 1989 increased 42 percent over the 
1985 volume. 

Rate 

The 1989 national motor vehicle theft rate — 630 per 
100,000 people — was 8 percent higher than the rate in 
1988. The rate was 36 percent higher than in 1985 and 26 
percent above the 1980 rate. 



For every 100,000 inhabitants living in MSAs, there 
were 77 1 motor vehicle thefts reported in 1 989. The rate in 
cities outside metropolitan areas (other cities) was 221 and 
in rural counties, 117. As in previous years, the highest 
rates were in the Nation's most heavily populated munici- 
palities, indicating that this offense is primarily a large-city 
problem. For every 100,000 inhabitants in cities with 
populations over 250,000, the 1989 motor vehicle theft 
rate was 1,602. The Nation's smallest cities, those with 
fewer than 10,000 inhabitants, recorded a rate of 251 per 
100,000. 

Among the regions, the motor vehicle theft rates ranged 
from 775 per 100,000 people in the Western States to 471 
in the Midwestern States. The Northeastern States' rate 
was 769 and the Southern States' rate, 572. All regions 
registered rate increases from 1988 to 1989. In both the 
Western and Southern States, the increase was 9 percent; in 
the Northeastern States, 8 percent; and in the Midwestern 
States, 6 percent. 

An estimated average of 1 of every 121 registered motor 
vehicles was stolen nationwide during 1989. Regionally, 
this rate was greatest in the Northeast where 1 of every 86 
motor vehicles registered was stolen. The other three 
regions reported lesser rates — 1 per 102 in the West, 1 per 
137 in the South, and 1 per 168 in the Midwest. 

Nature 

During 1989, the estimated value of motor vehicles 
stolen nationwide was over $8 billion. At the time of theft, 
the average value per vehicle stolen was $5,222. 

Seventy-nine percent of all motor vehicles reported 
stolen during the year were automobiles, 1 5 percent were 
trucks or buses, and the remainder were other types. 

Motor Vehicle Theft, 1989 

[Percent distribution by region] 



Region 


Total' 


Autos 


Trucks 
and 
buses 


Other 

vehicles 


Total 


100.0 


78.8 


14.8 


6.4 






Northeastern States 

Midwestern States 


100.0 
100.0 
100.0 
100.0 


92.4 
82,4 
73.5 
68.5 


4.6 
10.7 
18.9 
23.3 


3.0 
6.9 
7.6 


Western Slates . . 


8.1 







'Because of rounding, percentages may not add to totals. 



38 



Motor Vehicle Theft by Month 1989 

Variation from Monthly Average 



B 
QJ 

a* 




j£tr«. I<*et». IViffiur. yVpr. IVIay .iuin. .ItJil. ^V.«.ig. !Sf |>t. Oct. P^Jo-v. I>et:. 



iJ 




Motor 

Vehicle 

Theft 

Percent Chanse 
from 1985 



Number of Offenses 
Known - Up 42% 



Rate per 100,000 
Inhabitants - Up 36% 



1989 



39 



Clearances 

Law enforcement agencies nationwide cleared 15 per- 
cent of the motor vehicle thefts reported in their locales 
during 1989. Those in cities cleared 14 percent; those in 
suburban counties cleared 18 percent; and rural county 
agencies cleared 33 percent. 

Regional clearance percentages for motor vehicle theft 
were 1 1 percent in the Northeastern States, 1 5 percent in 
the Western States, 18 percent in the Midwestern States, 
and 19 percent in the Southern States. 

Persons in the under 18 age group alone accounted for 
21 percent of the motor vehicle thefts cleared in the Nation 
and for 22 percent in the cities. They were responsible for 
19 percent of the clearances in both the suburban and rural 
counties. 



Persons Arrested 

During 1989, males accounted for 90 percent of the 
persons arrested for motor vehicle theft. Fifty-five percent 
of the arrestees were white, 42 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 
1989, 60 percent of all persons arrested for this offense 
were under 21 years of age, and those under 18 comprised 
41 percent of the total. Between 1988 and 1989, arrests of 
males under age 18 rose 13 percent, while those of females 
within the same age range increased 16 percent. 

Total motor vehicle theft arrests were up 1 1 percent and 
adult arrests rose 10 percent in 1989 over the previous 
year. Overall arrests for this offense were 66 percent higher 
in 1989 than in 1985 and 50 percent above the 1980 level. 



40 



ARSON 
DEFINITION 



Arson is defined by the Uniform Crime Reporting Program as any willful or 
malicious burning or attempt to burn, with or without intent to defraud, a dwelling 
house, public building, motor vehicle or aircraft, personal property of another, etc. 

Only fires determined through investigation to have been willfully or maliciously 
set are classified as arsons. Fires of suspicious or unknown origins are excluded. 



41 



Volume 

A total of 99,599 arson offenses was reported by 12,750 
law enforcement agencies across the country; these agen- 
cies furnished from 1 to 12 months of reports during 1989. 
Of these reporting agencies, 12,562 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 1 3 and arson clearances in Tables 20 through 23. 
Since only 8,746 agencies covering 72 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 

The number of arson offenses reported nationally de- 
clined 1 percent in 1989 as compared to the 1988 total. 
Counts for the Nation's cities and suburban counties 
dropped 1 and 4 percent, respectively, while the rural 
counties registered a 4-percent increase. 

Geographically, arson decreases were experienced in the 
Midwest, 5 percent; in the Northeast, 3 percent; and in the 
South, 1 percent. A 3-percent increase was recorded in the 
West. 

By property type nationally, the number of arsons of 
structures declined 5 percent; while arsons of mobile 
property increased 1 percent and those of all other property 
were up 2 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, 1989 

18.746 agencies; 1989 estimaled population 178.168,000; 
rale per 100.000 inhabilants] 



Group 


Rate 


Total 


48.7 








56.8 






Group 1 (cities 250.000 and over) 

(cities 1.000.000 and over) 


9.1.4 
102.6 


(cities 500 000 to 999 999) . 


86.2 


(cities 2'50()00 to 499 999) 


84.4 


Group II (cities 100.000 lo 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) 


67.7 
48.2 
34.8 
26.7 
26.2 


Suburban counties 


35.6 


Rural counties 


20.9 




32.1 







Rate 

Since population coverage for arson data is lower than 
for the other Crime Index offenses, arson rates per 100,000 
inhabitants are tabulated independently. Based only on 
figures from law enforcement agencies supplying 12 
months of statistics for all Index crimes, including arson, 
the 1989 rates are shown in the accompanying table. 

The rates ranged from 103 per 100,000 inhabitants in 
cities with populations over 1 million to 21 per 100,000 
rural county inhabitants. The suburban counties and all 
cities collectively recorded rates of 36 and 57 per 100,000 
inhabitants, respectively. Overall, the 1989 national arson 
rate was 49 per 100,000 population. 

Regionally, the highest arson rate was registered in the 
Western States with 58 offenses per 100,000 population. 
Following were the Northeastern States with a rate of 47 
per 100,000 and the Southern and Midwestern States each 
with 45 per 100,000. 

Nature 

As in previous years, structures were the most frequent 
targets of arsonists in 1989 and comprised 54 percent of 
the reported incidents. Twenty-seven percent of the arsons 
were directed at mobile property (motor vehicles, trailers, 
etc.), while other types of property (crops, timber, etc.) 
accounted for 19 percent. 

Arson, Type of Property, 1989 

[12.562 agencies; 1989 estimated population 194,737.000] 



Property classification 



Tola! 

Total structure 

Single occupancy residential 

Other residential 

Storage 

Industrial/manufacturing 

Other commercial 

Community/public 

Other structure 

Total mobile 

Motor vehicles 

Other mobile 

Other 

'Because of rounding, percentages may not add to totals. 



Residential property was involved in 62 percent of the 
Structural arsons during the year, with 44 percent of such 
offenses directed at single-occupancy dwellings. Nineteen 
percent of all targeted structural property was either 
uninhabited or abandoned at the time the arson occurred. 

Motor vehicles comprised 92 percent of all mobile 
property at which arsons were directed. 



Number 

of 
offenses 



Percent 
distribution' 



80.580 



43.672 
19.220 
8.034 
4.326 
682 
4.949 
4.008 
2.453 

21.631 

19.962 

1,669 

15.277 



100.0 



54.2 

23.9 

10.0 

5.4 

.8 

6.1 

5.0 

3.0 

26,8 

24.8 

2.1 

19.0 



42 



Arson, Structures Not in Use, 1989 

(1 156: agencies; I'JUM cslimalcd piipulalion :<)4, 7.17.000) 



T>pc of structure 



Toul 

Single occupancy residential 

Other residential 

Storage 

Industrial/manufacturing ... 

Other commercial 

Community/public 

Other structure 



Number 

of 
offenses 



43,672 



i9.::o 

8.034 
4..126 
682 
4.949 
4.008 
2,453 



Percent 

not 
in use 



18.8 



23.8 
12.6 
21.5 
12.0 
11.5 
8.6 
29.5 



The monetary value of property damaged due to report- 
ed arsons averaged $13,078 per incident in 1989. The 
overall average for all types of structures was $21,410. 
While industrial/manufacturing property was the structur- 
al classification with the lowest reported number of of- 
fenses, it showed the highest average loss — $113,778. 
Mobile properties averaged $4,902 per incident, and other 
targets averaged $835. 

Arson, Monetar> Value of Property Damaged, 1989 

[12.562 agencies; 1989 estimated population 194.737,000] 



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 



80,580 



43,672 
19,220 
8,034 
4.326 
682 
4.949 
4.008 
2.453 

21.631 

19.962 

1.669 

15,277 



Average 
damage 



$13,078 



21.410 
14.364 
13.337 
27,123 
113.778 
45.672 
16.652 
26.128 

4.902 
4.636 
8.078 

835 



Clearances 

The national 1 989 arson clearance rate was 1 5 percent. 
Agencies in cities with fewer than 10,000 inhabitants 
showed the highest rate, clearing 24 percent of the arson 
offenses brought to their attention. Rural county law 
enforcement agencies cleared 22 percent; those in subur- 
ban counties, 18 percent; and city departments, 14 percent. 

Regionally, the Southern States recorded a clearance rate 
of 20 percent; both the Western and Midwestern States, 14 
percent; and the Northeastern States, 1 1 percent. 

Thirty-nine percent of all 1989 arson clearances in- 
volved only young people under age 18, a higher percent- 
age of juvenile involvement than for any other Index 
crime. Persons in this age group acounted for 37 percent of 



structural arson clearances, 23 percent of the clearances for 
arsons of mobile property, and 55 percent of those of all 
other property. 

Arson Offenses Cleared by Arrest,' 1989 

(12,562 agencies': 1989 eslimatcd population 194,737.000] 



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 



80.580 



43.672 
19,220 
8,034 

4,326 
682 
4.949 
4.008 
2.453 

21,631 

19.962 

1,669 

15,277 



Percent 
cleared 
by arrest 



17.6 



21.4 
21.1 
22.5 
18.3 
15.0 
15.6 
33.5 
19.2 

9.3 
8.9 

14.1 

18.2 



'Includes offenses cleared by exceptional means. 

'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 
41 percent of the city arson clearances, 38 percent of those 
in suburban counties, and 20 percent of those in the rural 
counties. 

The accompanying tables show clearance data only for 
those 12,562 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 
(9 percent) was registered for motor vehicles. 

Arson Offenses Cleared by Arrest' of Persons under 18 
Years of Age, 1989 

(12.562 agencies'; 1989 estimated population 194.737,000] 



Property classification 



Percent 
under 18 



Total 



Total structure 

Single occupancy residential 

Other residential 

Storage 

Industrial/manufacturing 

Other commercial 

Community/public 

Other structure 



Total mobile 

Motor vehicles 
Other mobile ., 

Other 




'Includes offenses cleared by exceptional means. 

'To be included in this table, it was necessary that arson clearances be reported by 
property classification. 



43 



Persons Arrested 

The estimated number of arrests for arson during 1989 
totaled 18,600. Forty-three percent of the arrestees were 
under 18 years of age and 64 percent were under 25. Males 
comprised 86 percent of all arson arrestees. Seventy-four 
percent of those arrested were white, 25 percent were 
black, and the remainder were of other races. 

Trends for 1988 versus 1989 show arson arrests de- 
creased 4 percent nationwide. While rural county agencies 



experienced a 4-percent increase, declines were experi- 
enced in the Nation's cities. 5 percent; and in the suburban 
counties, 1 percent. 

Nationwide, arrests of both adults and juveniles de- 
creased from 1988 to 1989, 6 and 1 percent, respectively. 
During the same period, male arrests for arson were down 
4 percent and female arrests, down 1 percent. 

The 1989 arson arrest total for all ages was 7 percent 
below the 1985 level and 11 percent lower than in 1980. 



44 



CRIME INDEX TABULATIONS 



This Section's tabular portions present data on crime in 
the United States as a whole; geographic divisions; individ- 
ual states; Metropolitan Statistical Areas; cities, towns, and 
counties; and college and university campuses. Also fur- 
nished in the following tables are national averages for the 
value of property stolen in connection with Crime Index 
offenses; further breakdowns by type for the robbery, 
burglary, larceny-theft, and arson classifications; and data 
on the type and value of property stolen and recovered. 

Although the total number of crimes occurring through- 
out the Nation is unknown, information on those reported 
to law enforcement gives a reliable indication of criminal 
activity. In reviewing the tables in this report, it must be 
remembered, however, that many factors can cause the 
volume and type of crime to vary from place to place. Even 
though population, one of these factors, is used in comput- 
ing crime rates, all communities are affected to some 
degree by seasonal or transient populations. Since counts 
of current, permanent population are used in their con- 
struction, crime rates do not account for short-term 



population variables, such as an influx of day workers, 
tourists, shoppers, etc. A further discussion of various 
factors contributing to the amount of crime in a given area 
is shown on page v of this publication. 

National data can serve as a guide for the law enforce- 
ment administrator in analyzing the local crime count, as 
well as the performance of the jurisdiction's law enforce- 
ment agency. The analysis, however, should not end with a 
comparison based on data presented in this publication. It 
is only through an appraisal of local conditions that a clear 
picture of the community crime problem or the effective- 
ness of the law enforcement operation is possible. 

Note 

The collection of statistics on arson as a Crime Index 
offense began in 1979. However, 1989 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. 



C 




Crime 
Index 
Total 

Percent Change 
from 1985 



Number of Offenses 
Known - Up 15% 



Rate per 100,000 
Inhabitants - Up 10% 



1985 



1986 



1987 



1988 



1989 



45 



Larceny-Theft 



Burglary 



Aggrava 
Assault 

7% 



Robberv 

4% 



Forcible. 
Rape 

1% 



Murder 

>1% 




Motor 

Vehicle 

Theft 

11% 



46 



Regional Violent and Property Crime 

Rates 1989 

(per 100,000 inhabitants) 



4.362 



NORTHEAST 




Violent Crime Rate 



Property Crime Rate 



47 



Crime Index Total 

The Crime Index total rose 2 percent to 14.3 million 
offenses in 1989. Five- and 10-year percent changes 
showed the 1989 total was 15 percent above the 1985 level 
and 6 percent higher than in 1980. 

From 1988 to 1989, overall violent crime showed a 5- 
percent increase. The number of property crimes increased 
2 percent for the 2-year period. 

The largest volume of Crime Index offenses occurred in 
the Southern States which accounted for 37 percent of the 
total. Following were the Western States with 24 percent, 
the Midwestern States with 21 percent, and the Northeast- 
ern States with 18 percent. 

Crime rates relate the incidence of crime to population. 
In 1989, there were an estimated 5,741 Crime Index 

Table 1.— Index of Crime, United States, 1980-1989 



offenses for each 100,000 in population nationwide. The 
violent crime rate was 663, and for property crime, it was 
5,078 per 100,000. 

Regionally, the Crime Index rates per 100,000 inhab- 
itants ranged from 6,550 in the West to 4,949 in the 
Midwest. The South registered a rate of 6,205 per 100,000 
inhabitants, and the Northeast, 5,072. 

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, 1980-1989." 

Table 2, "Index of Crime, United States, 1989," 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. 



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' 




Number of Offenses 


Population by year 
1980-225.349.264 


13.408,300 
13.423,800 
12.974.400 
12.108.600 
11.881.800 
12.431.400 
13.211.900 
13.508.700 
13.923.100 
14.251.400 

+2.4 

+ 14.6 

+6.3 




1.344.520 
1.361.820 
1.322.390 
1,258.090 
1,273.280 
1,328.800 
1.489.170 
1.484.000 
1.566.220 
1.646.040 

+5.1 
+23.9 
+22.4 


12.063.700 
12.061.900 
11,652.000 
10.850.500 
10.608.500 
11.102.600 
11,722.700 
12,024.700 
12.356.900 
12.605.400 

+2.0 

+ 13.5 

+4.5 


23.040 
22.520 
21.010 
19.310 
18.690 
18.980 
20.610 
20.100 
20.680 
21.500 

+4.0 

+ 13.3 

-6.7 


82.990 
82,500 
78,770 
78,920 
84,230 
88,670 
91,460 
91,110 
92,490 
94.500 

+2.2 

+6.6 

+ 13.9 


565.840 
592.910 
553.130 
506,570 
485.010 
497.870 
542,780 
517,700 
542,970 
578,330 

+6,5 

+ 16,2 

+2.2 


672.650 
663.900 
669.480 
653.290 
685.350 
723.250 
834.320 
855.090 
910.090 
951.710 

+4.6 
+31.6 
+41.5 


3.795.200 
3.779.700 
3.447.100 
3.129.900 
2.984.400 
3.073.300 
3.241.400 
3.236,200 
3.218.100 
3.168.200 

-1.6 

+3.1 

-16.5 


7.136.900 
7.194,400 
7,142,500 
6.712.800 
6.591.900 
6.926.400 
7.257.200 
7.499.900 
7.705.900 
7.872.400 

+2.2 
+ 13.7 
+ 10.3 


1.131.700 
1.087.800 
1.062.400 
1,007.900 
1,032,200 
1.102,900 
1,224.100 
1.288.700 
1.432.900 
1.564.800 

+9.2 
+41.9 
+38.3 




1981-229.146.000 




1982-231.534,000 

1983-233 981 000 




1984-236,158,000 

1985-238,740,000 

1986-241,077,000 

1987-243,400.000 

1988-245.807,000 

1989-248,239,000 

Percent change: number of 
olTenses: 
1989/1988 




1989/1985 




1989/1980 










Rate per 100.000 Inhabitants 


Year 
1980 


5.950.0 
5.858.2 
5.603.6 
5.175.0 
5,031.3 
5,207.1 
5.480.4 
5.5500 
5.664.2 
5.741.0 

+ 1.4 

+ 10.3 

-3.5 




596.6 
594.3 
571.1 
537.7 
539,2 
556.6 
617.7 
609.7 
637.2 
663.1 

+4.1 
+ 19.1 
+ 11.1 


5.353.3 
5.263.9 
5.032.5 
4.637.4 
4,492.1 
4.650.5 
4.862.6 
4.9403 
5,027.1 
5.077.9 

+ 1.0 
+9.2 
-5.1 


10.2 
9.8 
9.1 
8.3 
7,9 
7.9 
8.6 
8.3 
8.4 
8.7 

+ 3.6 
+ 10.1 

-14.7 


36.8 
36.0 
34.0 
33.7 
35,7 
37.1 
37.9 
37.4 
37,6 
38.1 

+ 1.3 

+2.7 
+ 3.5 


251.1 

258.7 
238.9 
216.5 
205,4 
208.5 
225.1 
212.7 
2209 
233.0 

+5.5 
+ 11.8 

-7.2 


298.5 
289.7 
289.2 
279,2 
290,2 
302.9 
346.1 
351.3 
370.2 
383.4 

+3.6 
+26.6 
+28.4 


1.684.1 
1.649.5 
1.488.8 
1,337.7 
1,263.7 
1,287.3 
1,344,6 
1.329.6 
1,309,2 
1,276,3 

-2,5 
-.9 

-24.2 


3.167.0 
3.139.7 
3.084.8 
2.868,9 
2,791.3 
2.901.2 
3,0103 
3.081.3 
3.134.9 
3,171.3 

+ 1,2 

+9.3 

+ 1 


502.2 
474.7 
458.8 
430.8 
437.1 
462.0 
507.8 
529.4 
582.9 
630.4 

+8.1 
+36.5 

+25.5 




1981 




1982 




1983 




1984 




1985 




1986 




1987 




1988 




1989 




Percent change: rate per 100.000 
inhabitants: 
1989/1988 




1989/1985 




1989/1980 









'Populations are Bureau of the Census provisional estimates as of July I. except April I. 1980. preliminary census counts, and are subject to change. 
'Because of rounding, the offenses may not add to totals. 

'Although arson data are included in the trend and clearance tables, sufTicienI 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 property crime of arson. 

All rales were calculated on the offenses before rounding. 

Data for 1988 were not available for the States of Florida and Kentucky; therefore, it was necessary that their crime counts be estimated. See "Offense Estimation", page 3 for details. 

Provided in Table 3, "Index of Crime, Regional Offense consider each region's proportion of the total United States 



and Population Distribution, 1989," 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 



population. For example, although the Southern States 
accounted for the largest volume of Crime Index offenses 
in 1 989, they also represented the greatest regional popula- 
tion. 



48 



lablc 2.— Indcv of Crime, I nitid Stales, 1989 



Population' 



Crinic 
Index 
total 



Modified 
Oime 
Indev 
total- 



Violent 
crime* 



Property 
crime' 



Murder 
and non- 
negligent 

man- 
slaughter 



horcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 

vehicle 

theft 



I niicJ Stales Total . . 

Kale per 100000 
inhabitants 



248.239.000 



14.251.449 



1.644.0.17 

663,1 



I2.60;.412 

5,077.9 



21,500 

8,7 



94,»I4 

38 1 



578.326 

233.0 



951,707 

383,4 



3.168,170 

1,276,3 



7,872,442 

3,171,3 



1,564,800 

630,4 



Metropolitun 

Statistical ,\rea 

Area actually reporting' 

Estimated totals 

Rate per 100,000 

inhabitants 

Other Citits 

Area actually reporting' 

Estimated totals 

Rate per 100,000 

inhabitants 

Rural Counties 

\rca actually reporting' 

Estimated totals 

Rate per 100.000 
inhabitants 



191,346.929 




97,8% 


12.265.300 


100,0% 


12.430,136 




6.496.1 


22,816.107 




93,6% 


1.074.451 


100,0% 


1.148.626 




5.034.3 


34,079,964 




87,9% 


611.592 


100,0% 


672.687 



1,973.8 



1,478.947 
1,491.847 

779,7 

83.801 
89,867 

393,9 

57,159 
64.323 

188,7 



10,786.353 
10,938.289 



5,716,5 



990,650 
1,058,759 



4.640,4 



554,433 
608,364 



1,785,1 



18.376 
18,513 



9,7 



1,045 
1,143 



5,0 



1.594 
1.844 



5.4 



80.069 
81.238 



42,5 



5.775 
6.178 



27.1 



6,364 
7,088 



20,J 



556,817 
559.770 



292,5 



12,316 
13,242 



58,0 



4.763 
5,314 



15,6 



823,685 
832,326 



435,0 



64,665 
69,304 



303, f 



44.438 
50,077 



146,9 



2,664,345 
2.701,504 

1,411,8 

221.346 
237,221 

1,039,7 

208.697 
229,445 

673,3 



6,662,450 
6,762,395 



3.534,1 



722.025 
771.091 



3,379,6 



309,496 
338.956 



994,6 



1.459.558 
1,474,390 



770,5 



47,279 
50,447 



36.240 
39.963 



117,3 



'Populations arc Bureau of the Census provisional estimates as of July 1. 1989, and are subject to change, 

•■\lthough arson data are included in the trend and clearance tables, sufficient data are not available to estimate totals for this offense, 

^Violent crimes are otTenses 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 

indixidual states which have varying populations, portions reporting, and crime rates. 



Table 3. — Inilex of Crime, Regional Offense and Populalion 


Distribution. 1989 


















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' 


I nited Stales Total' 


100.0 


100.0 




100.0 


100.0 


100.0 


100.0 


100.0 


100.0 


100.0 


100.0 


100.0 






20,5 
24,2 
34.5 
20,9 


18.1 
20,9 
37.2 
23.8 




21.9 
19.3 
35.1 
23.7 


17,6 
21.1 
37.5 
23.8 


18.5 
18.6 
42.9 
20.1 


15.2 
24.8 
36.8 
23.1 


28.3 
18.4 
32.1 
21.1 


18.7 
19.3 
36.5 
25.5 


16.1 
19.2 
41.9 

22.7 


16.7 
22.4 
37.0 
23.9 


24.9 
18.1 
31.3 

25.7 




Midwestern States 




Southern States 




Western Stales 





'Although arson data are included in ihe uend and clearance tables. sufTicicni data arc not available to estimate totals for this otTense. 

•Violent crimes are offenses of murder, forcible rape. robber> . 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. 

'Because of rounding, percentages may not add to totals. 



49 



Table 4.— Index of Crime: Region, Geographic Division, and State, 1988-1989 
















Area 


Year 


Population' 


Crime Index total 


Modified Crime 
Index total' 


Violent 


crime' 


Property 


crime' 


Murder and non- 
negligenl manslaughter 




Number 


Rate per 
100,000 


Number 


Rate per 

100,000 


Number 


Rate per 
100.000 


Number 


Rate per 
100.000 


Number 


Rate per 
100,000 


United Slates TolaH 


1988 
1989 


245,807,000 
24S,239,000 


13,923,086 
14,251,449 

+2.4 


5,664.2 

5,741.0 

+1.4 






1,566,221 

1,646,037 

+5,1 


637.2 
663.1 
+4.1 


12,356,865 

12,605,412 

+2.0 


5,027.1 

5,077.9 

+1.0 


20,675 

21,500 

+4.0 


8.4 




8.7 
+3.6 












1988 
1989 


50,611,000 
50,772,000 


2,533,371 
2,575,190 

+ 1.7 

613.310 

633.315 

+3.3 

165.214 

170.695 

+3.3 

43.147 

43,792 

+ 1.5 

293,015 

303,692 

+3.6 

36,573 

39,810 

+89 

51,784 

52,144 

+.7 

23,577 

23.182 

-1.7 


5.005.6 

5,072.1 

+1.3 

4,730.1 
4,854.1 

+2,6 
5.097,6 
5.270.0 

+3.4 
3.577.7 
3.583.6 
+.2 
4,990.9 
5.136.0 

+2.9 
3.333.9 
3.596.2 

+7.9 
5,204.4 
5.224.8 
+.4 
4.240.5 
4.088.5 

-3.6 






344,316 

360,293 

+4.6 

59.393 

64.554 

+8.7 

14.759 

16.576 

+ 12.3 

1,898 

1.676 

-11,7 

36.376 

39.912 

+9,7 

1,622 

1,865 

+ 15,0 

3.947 

3.772 

-4,4 

791 

753 

-4.8 


680.3 
709.6 
+4J 

458.1 
494.8 
+8.0 
455.4 
511.8 
+ 12.4 
157.4 
137.2 
-12.8 
619,6 
675,0 

+8,9 
147,9 
168.5 
+ 13.9 
396.7 
378.0 

-4.7 
142.3 
132.8 

-6.7 


2,189,055 

2,214,897 

+1.2 

553,917 

568,761 

+2.7 

150,455 

154.119 

+2.4 

41.249 

42.116 

+2.1 

256,639 

263,780 

+2.8 

34,951 

37,945 

+8.6 

47,837 

48,372 

+ 1.1 

22,786 

22.429 

-1.6 


4,325J 

4,362.4 

+.9 

4.272.1 
4,359.3 

+2.0 
4.642.2 
4.758.2 

+2.5 
3.420.3 
3.446.5 
+.8 
4,371.3 
4,461.0 

+2,1 
3.186,1 
3,427.7 

+7.6 
4,807,7 
4.846.9 
+.8 
4.098.2 
3.955.7 

-3.5 


3.811 
3,972 

+4.2 

496 

579 

+ 16.7 

174 

190 

+9.2 

37 

39 

+5.4 

208 

254 

+22.1 

25 

36 

+44.0 

41 

49 

+ 19.5 

II 

II 


7.5 




7.8 
+4.0 




1988 
1989 


12.966,000 
13,047.000 


3.8 




4.4 
+ 15.8 




1988 
1989 


3.241.000 
3,239,000 


5.4 




5.9 
+9.3 




1988 
1989 


1.206.000 
1.222.000 


3.1 




3.2 
+3.2 


Massachusetts 


1988 
1989 


5.871.000 
5,913,000 


3 5 




4.3 
+22.9 


New Hampshire 


1988 
1989 


1,097.000 
1,107,000 


2.3 




3.3 
+43.5 




1988 
1989 


995.000 
998,000 


4.1 


Percent change 


4.9 
+ 19.5 


Vermonl 


1988 
1989 


556,000 
567,000 


2.0 


Percent change 


1,9 
-5,0 


Middle Atlantic 


1988 
1989 


37,645,000 
37.726.000 


1.920,061 

1.941,875 

+ 1.1 

408.800 

407.643 

-.3 

1,129,241 

1.129,638 


5,100.4 
5.147.3 

+.9 
5,295.3 
5.269.4 

-.5 
6.309.3 
6,293.2 

-.3 

3,176.4 

3,360.4 

+5.8 






284.923 

295.739 

+3.8 

44.993 

47,111 

+4.7 

196.396 

203.042 

+ 3.4 

43.534 

45.586 

+4.7 


756.9 
783.9 

+3.6 
582.8 
609.0 

+4.5 
1.097.3 
1,131.2 

+3,1 
362,0 
378.6 

+4.6 


1.635.138 

1.646.136 

+.7 

363.807 

360.532 

-.9 

932.845 

926,596 

-.7 

338,486 

359.008 

+6.1 


4,343.6 
4,363,4 
+,5 
4.712,5 
4.660,4 

-1,1 
5.212.0 
5,162.1 

-10 
2,814,4 
2,981,8 

+5,9 


3.315 

3.393 

+2.4 

411 

394 

-4.1 

2.244 

2,246 

+.1 

660 

753 

+ 14.1 


8,8 




90 

+2,3 




1988 
1989 


7,720.000 
7,736,000 


5,3 




5.1 
-3.8 


New York 


1988 
1989 

1988 
1989 


17,898,000 
17,950,000 


12.5 


Percent change 


12.5 


12,027.000 
12.040.000 


382,020 

404.594 

+ 5,9 


5,5 


Percent change 


6,3 
+ 14,5 



See footnotes at end of table. 



50 



Table 4. — Index of Crime: Region, Geographic Division, and State, 1988- 


1989 














Forciblc rape 


Robbery 


.Aggravalcd 
assaull 


Burg 


ary 


Larcen) 


-Ihen 


Motor vehicle theft 


Arson- 


Number 


Rale per 
100.000 


Number 


Rale per 

100.000 


Number 


Rale per 
100.000 


Number 


Rale per 
100.000 


Number 


Rate per 
100.000 


Number 


Rate per 
100,000 


Number 


Rate per 

100.000 


»2.486 


37.6 


M2.968 


220,9 


910.092 


370.2 


3,218.077 


1.309.2 


7,705,872 


3,134.9 


1,432,916 


582,9 






94.504 


38.1 


578.326 


233,0 


951,707 


383.4 


.3,168,170 


1.276.3 


7,872,442 


3,171,3 


i. 564,800 


630.4 






+2.2 


+IJ 


+«.5 


+5.5 


+4.6 


+3.6 


-1.6 


-2.5 


+2,2 


+ 1.2 


+9,2 


+8,1 






14.727 


29.1 


151.177 


298,7 


174.601 


345.0 


515,299 


1,018.2 


1,312,879 


2,594.1 


360,877 


713.0 






14,380 


28.3 


163,864 


322.7 


178,077 


350.7 


511,489 


1,007.4 


1,313,035 


2,586.1 


390,373 


768.9 






-24 
3.656 


-2.7 
28.2 


+8,4 
18.209 


+80 
140,4 


+2,0 
37,032 


+ 1,7 
285,6 


-,7 
137,773 


-1.1 
1.062.6 




-3 
2.541,6 


+8,2 
86,600 


+ 7.8 
667.9 






329,544 




3.726 


28.6 


20.717 


158,8 


39,532 


303,0 


138,886 


1,064.5 


338,132 


2,591.6 


91,743 


703.2 






+ 1.9 


+ 1.4 


+ 13.8 


+ 13,1 


+6.8 


+6,1 


+,8 


+.2 


+2.6 


+2.0 


+5,9 


+5.3 






849 


26.2 


6.080 


187,6 


7,656 


236,2 


39,477 


1,218.0 


91.079 


2,810,2 


19.899 


614.0 






892 


27.5 


6.956 


214,8 


8,538 


263,6 


40,035 


1,236.0 


91,483 


2.824.4 


22,601 


697.8 






+ 5.1 


+ 5.0 


+ 14.4 


+ 14,5 


+ 11.5 


+ 11,6 


+ 1,4 


+ 1.5 


+,4 


+.5 


+ 13.6 


+ 13.6 






224 


18.6 


311 


25,8 


1,326 


110,0 


9.852 


816.9 


28,928 


2,398.7 


2,469 


204.7 






229 


18.7 


293 


24,0 


1,115 


91,2 


9.810 


802.8 


30,067 


2,460.5 


2,239 


183.2 






+2.2 


+.5 


-5.8 


-7,0 


-15.9 


-17,1 


-,4 


-1.7 


+3,9 


+2.6 


-9.3 


-10,5 






1,876 


32.0 


10.352 


176,3 


23.940 


407,8 


62,307 


1,061.3 


141,933 


2,417.5 


52,399 


892.5 






1.881 


31.8 


11.980 


202.6 


25,797 


436,3 


63.004 


1,065.5 


146,925 


2,484,8 


53.851 


910,7 






+.3 


-.6 


+ 15.7 


+ 14.9 


+7.8 


+7,0 


+ 1.1 


+.4 


+3,5 


+2,8 


+2,8 


+2.0 






276 


25.2 


231 


21.1 


1.090 


99,4 


7.489 


682.7 


24,964 


2,275,7 


2,498 


227.7 






327 


29.5 


264 


23.8 


1.238 


111,8 


8,157 


736.9 


27,087 


2,446.9 


2,701 


244.0 






+ 18,5 


+ 17.1 


+ 14.3 


+ 12.8 


+ 13.6 


+ 12,5 


+8.9 


+ 7,9 


+8.5 


+7.5 


+8,1 


+7.2 






303 


30.5 


1.146 


115,2 


2,457 


246,9 


12,550 


1,261,3 


27,049 


2,718.5 


8,238 


827.9 






266 


26.7 


1,122 


112.4 


2,335 


234.0 


12.045 


1,206,9 


27.104 


2,715.8 


9,223 


924.1 






-12,2 


-12,5 


-2.1 


-2.4 


-5.0 


-5.2 


-4.0 


-4,3 


+.2 


-.1 


+ 12,0 


+ 11.6 






128 


23,0 


89 


16.0 


563 


101.3 


6,098 


1,096,8 


15.591 


2,804.1 


1,097 


197.3 






131 


23,1 


102 


18.0 


509 


89.8 


5,835 


1,029,1 


15.466 


2,727,7 


1,128 


198.9 






+2.3 


+,4 


+ 14.6 


+ 12.5 


-9.6 


-11.4 


-4.3 


-6,2 


-.8 


-2.7 


+2.8 


+.8 






11.071 


29.4 


132,968 


353.2 


137,569 


365.4 


377.526 


1,002,9 


983,335 


2,612.1 


274,277 


728,6 






10.654 


28.2 


143,147 


379.4 


138,545 


367.2 


372,603 


987,7 


974,903 


2,584,2 


298.630 


791.6 






-38 


-4.1 


+ 7.7 


+7.4 


+.7 


+.5 


-1,3 


-1.5 


-.9 


-1,1 


+8,9 


+8.6 






2.600 


33.7 


18,927 


245.2 


23,055 


298,6 


75,675 


980.2 


219,086 


2.837.9 


69.046 


894.4 






2.449 


31.7 


21,139 


273.3 


23,129 


299,0 


75,548 


976,6 


213,878 


2,764.7 


71,106 


919.2 






-5,8 


-5.9 


+ 11.7 


+ 11.5 


+.3 


+,l 


_ ■> 


-.4 


-2.4 


-2.6 


+3.0 


+2.8 






5.479 


30.6 


97,434 


544.4 


91,239 


509,8 


218,060 


1,218,3 


560,887 


3.133.8 


153,898 


859.9 






5.242 


29.2 


103.983 


579.3 


91,571 


510,1 


211,130 


1,176,2 


544,459 


3,033.2 


171,007 


952.7 






-4.3 


-4.6 


+6.7 


+6,4 


+.4 


+,1 


-3.2 


-3.5 


-2,9 


-3.2 


+ 11,1 


+ 10.8 






2.992 


24.9 


16,607 


138.1 


23,275 


193,5 


83.791 


696.7 


203,362 


1,690.9 


51,333 


426.8 






2.963 


24.6 


18,025 


149.7 


23.845 


198,0 


85.925 


713.7 


216,566 


1.798.7 


56,517 


469.4 






-1.0 


-1.2 


+8.5 


+8.4 


+2.4 


+2,3 


+2,5 


+2.4 


+6.5 


+6.4 


+ 10,1 


+ 10.0 







51 



Table 4. — Index of Crime: Region, Ceograpliic Division, and State, 1988-1989 — Continued 



Area 



Year 



Population' 



Crime Index total 



Number 



Rate per 
100.000 



Modified Crime 
Index total- 



Number 



Rate per 
100,000 



Violent crime' 



Number 



Rate per 
100.000 



Property crime^ 



Number 



Rate per 
100,000 



Murder and non- 
negligent manslaughter 



Number 



Rate 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 . . . 



1988 
1989 



1989 



1988 
1989 



1989 



1989 



1988 
1989 



1989 



1988 
1989 



1989 



1988 
1989 



1988 
1989 



1988 
1989 



1989 



1989 



1989 



Percent change 

Sec footnotes at end of table. 



59,894,000 
60.148.000 

42,149.000 
42.298.000 



11,544.000 
11.658.000 



5,575,000 
5,593.000 



9.300.000 
9.273,000 



10,872.000 
10,907.000 



4.858.000 
4.867.000 



2,918.559 

2.976,595 

+2.0 

2.144.077 
2.178.138 

+ 1.6 
648.873 
657.414 

+ 1.3 
231.364 
248.327 

+7.3 
565.847 
553.442 

-2.2 
505.034 
516.252 

+2.2 
192.959 
202.703 

+5.0 



4,872.9 

4.948.8 

+1.6 

5.086.9 
5,149.5 

+ 1.2 
5.620.9 
5,639.2 
+.3 
4,150.0 
4,440.0 

+7.0 
6.084.4 
5.968.3 

-1.9 
4.645.3 
4.733.2 

+ 1.9 
3.972.0 
4.164.8 

+4.9 



17,745,000 
17.851.000 



2.834.000 
2.840,000 



2,487,000 
2,513,000 



4,306,000 
4,353.000 



5,139,000 
5,159,000 



1.601,000 
1,611,000 



663,000 
660,000 



715,000 
715,000 



774.482 

798.457 

+3.1 

115.533 

115.912 

+.3 

121.363 

125.219 

+3.2 

185.792 

190.801 

+2.7 

248.971 

264.508 

+6.2 

66.282 

65.916 

-6 

18.087 

16.902 

-6.6 

18.454 

19.199 

+4.0 



4.364.5 
4.472.9 

+2.5 
4.076.7 
4.081,4 
+.1 
4.879.9 
4.982.8 

+2.1 
4.314.7 
4,383.2 

+ 1.6 
4.844.7 
5.127.1 

+5.8 
4.140.0 
4.091.6 

-1.2 
2.728.1 
2.560.9 

-6.1 
2.581.0 
2.685.2 

+4.0 



306,106 

317,757 

+3.8 
243.282 
249.049 

+2.4 
93,557 
98.611 

+ 5.4 
21.187 
22,735 

+7.3 
68.980 
65.760 

-4.7 
49,144 
51.109 

+4.0 
10.414 
10.834 

+4.0 



511.1 
528.3 
+3.4 

577.2 
588.8 

+2.0 
810.4 
845.9 

+4.4 
380.0 
406.5 

+7.0 
741.7 
709.2 

-4.4 
452.0 
468.6 

+3.7 
214.4 
222.6 

+3.8 



2,612,453 

2,658,838 

+ 1.8 

1.900.795 
1.929.089 

+ 1.5 
555,316 
558,803 
+ .6 
210,177 
225,592 

+7.3 
496,867 
487,682 

-1.8 
455.890 
465,143 

+2.0 
182.545 
191,869 

+5,1 



4,361.8 

4,420.5 

+1.3 

4.509.7 
4.560.7 

+ 1.1 
4,8104 
4,793.3 
-.4 
3.770.0 
4.033.5 

+7.0 
5,342.7 
5,259.2 

-1.6 
4.193.2 
4,264.6 

+ 1.7 
3.757.6 
3,942.2 

+4.9 



62.824 

68.708 

+9.4 

7.279 

7.563 

+3.9 

9,083 

10,073 

+ 10.9 

12.490 

12.549 

+.5 

28.393 

32.634 

+ 14.9 

4.374 

4,503 

+2.9 

392 

417 

+6.4 

813 

969 

+ 19,2 



354.0 

384.9 

+8.7 

256.8 

266.3 

+3.7 

365.2 

400.8 

+9.7 

290.1 

288.3 

-.6 

552.5 

632.6 

+ 14.5 

273.2 

279.5 

+2.3 

59.1 

63.2 

+6.9 

113.7 

135.5 

+ 19,2 



711.658 

729.749 

+2.5 

108,254 

108,349 

+.1 

112.280 

115.146 

+2,6 

173.302 

178.252 

+2,9 

220.578 

231.874 

+5.1 

61.908 

61,413 

-.8 

17.695 

16.485 

-6.8 

17.641 

18.230 

+3,3 



4.010.5 
4,088.0 

+ 1,9 
3,819.8 
3.815.1 
-.1 
4,514.7 
4.582.0 

+ 1.5 
4.024,7 
4,094.9 

+ 1,7 
4,292.2 
4,494.6 

+4,7 
3.866.8 
3.812.1 

-1,4 
2.668.9 
2.497,7 

-6,4 
2.467,3 
2.549,7 

+3,3 



3,848 
3,990 

+3.7 

3,087 

3,225 

+4.5 

991 

1.051 

+6.1 

358 

353 

-1.4 

1.009 

993 

-1.6 

585 

652 

+ 11.5 

144 

176 

+22.2 



761 

765 

+.5 

47 

54 

+ 14.9 

85 

138 

+62.4 

124 

111 

-10.5 

413 

409 

-1.0 

58 

40 

-31.0 

12 

4 

-66.7 

22 

9 

-59.1 



52 



lable 4. — Index of C 


rime: Region, Geographic Division, and State, 1988- 


1989— Continued 












Forcible rape 


Robber\' 


Aggravated 
assault 


Burglar> 


Larccny-lheH 


Motor vehicle theft 


Arson- 


Number 


Rale per 


Number 


Rale per 


Number 


Rale per 


Number 


Rale per 


Number 


Rale per 


Number 


Rate [)er 


Number 


Rate per 




100.000 




lOCUWO 




100.000 




100,000 




100,000 




100,000 




100,000 


22.957 


.W.J 


101.312 


169,2 


177.989 


297,2 


622.396 


1.039.2 


1.723.021 


2.876.8 


267.036 


445.8 






23,468 


39.0 


106.505 


177,1 


183.794 


305,6 


609.293 


1.013.0 


1.766.190 


2.936.4 


283.355 


471.1 






+2.2 


+ 1.8 


+5.1 


+4,7 


+3.3 


+2,8 


-2.1 


-2,5 


+2,5 


+2.1 


+6,1 


+5.7 






I8.:3'» 


43.3 


84.288 


200,0 


137,668 


326,6 


452,236 


1,072,9 


1.233,577 


2.926,7 


214,982 


510,1 






18.454 


43,6 


87,719 


207,4 


139,651 


330,2 


439,961 


1,040,1 


1,265,815 


2,992,6 


223,313 


528,0 






+ 1,: 


+.7 


+4,1 


+3,7 


+ 1,4 


+ 1,1 


-2,7 


-3,1 


+2,6 


+2,3 


+3,9 


+ 3,5 






4,449 


385 


36.097 


312,7 


52,020 


450,6 


130.292 


1,128.7 


355.148 


3,076.5 


69,876 


605,3 






4.161 


35 7 


.19,138 


335,7 


54,261 


465,4 


125.441 


1.076,0 


362.556 


3,109.9 


70,806 


607,4 






-6 5 


-7,3 


+8,4 


+ 7,4 


+4,3 


+3,3 


-3,7 


-4,7 


+2.1 


+ 1,1 


+ 1,3 


+,3 






l,MI 


310 


4.963 


89,0 


14,135 


253.5 


52,137 


935.2 


138.335 


2,481.3 


19,705 


353,5 






1.804 


323 


5,671 


101,4 


14,907 


266,5 


54,201 


969.1 


149,514 


2.673.2 


21,877 


391,1 






+4,: 


+4,2 


+ 14,3 


+ 13,9 


+5,5 


+ 5,1 


+4,0 


+3.6 


+8.1 


+7,7 


+ 11,0 


+ 10.6 






6.462 


69.5 


22.424 


241,1 


39,085 


4203 


122,254 


1.314.6 


305,693 


3.287.0 


68.920 


741.1 






6.6:4 


71,4 


20,616 


222,3 


37,527 


404,7 


113.579 


1,224,8 


307,096 


3.311.7 


67,007 


722,6 






+15 


+ 17 


-8.1 


-7.8 


-4,0 


-3,7 


-7,1 


-6,8 


+.5 


+.8 


-2,8 


-2,5 






4.6.1: 


426 


17,546 


161.4 


26,381 


242,7 


112,130 


1,031,4 


300,355 


2,762.6 


43,405 


399,2 






4.87: 


44 7 


18.635 


170,9 


26,950 


247,1 


111,057 


1,018,2 


306,609 


2.811.1 


47,477 


435,3 






+5.: 


+4,9 


+6,2 


+ 5,9 


+2,2 


+ 1,8 


-1,0 


-1,3 


+2,1 


+ 1,8 


+9,4 


+9,0 






965 


19,9 


3.258 


67,1 


6,047 


124,5 


35,423 


729,2 


134,046 


2.759,3 


13,076 


269,2 






99.1 


204 


3.659 


75,2 


6.006 


123,4 


35.683 


733,2 


140.040 


2.877,3 


16,146 


331.7 






+: 9 


+ 2,5 


+ 12,3 


+ 12,1 


-,7 


-9 


+,7 


+.5 


+4.5 


+4,3 


+23,5 


+23,2 






4,718 


26,6 


17.024 


95,9 


40.321 


227,2 


170,160 


958,9 


489,444 


2,758,2 


52,054 


293,3 






5,014 


28,1 


18,786 


105,2 


44.143 


247,3 


169,332 


948,6 


500,375 


2,803,1 


60,042 


336,4 






+6.3 


+5,6 


+ 10.4 


+9,7 


+9.5 


+8,8 


-5 


-1,1 


+2.2 


+ 1,6 


+ 15.3 


+ 14,7 






446 


15,7 


1.132 


39,9 


5,654 


199,5 


24.211 


854,3 


79.447 


2,803,4 


4,596 


162,2 






459 


16,2 


1,108 


39,0 


5,942 


209,2 


24,052 


846.9 


79.801 


2,809,9 


4.496 


158,3 






+2.9 


+3,2 


-2.1 


-2,3 


+5.1 


+4,9 


-,7 


-,9 


+.4 


+.2 


-2.2 


-2,4 






779 


31,3 


2.136 


85,9 


6,083 


244,6 


29,321 


1.179.0 


76,927 


3,093,2 


6,032 


242.5 






917 


36,5 


2,508 


99,8 


6.510 


259,1 


29,871 


1,188,7 


77,802 


3,096,0 


7,473 


297,4 






+ 17,7 


+ 16,6 


+ 17,4 


+ 16,2 


+7,0 


+5,9 


+ 1,9 


+,8 


+ 1,1 


+,1 


+23,9 


+22.6 






1.337 


31,0 


4.079 


94,7 


6,950 


161,4 


39,167 


909,6 


119,526 


2.775,8 


14,609 


339,3 






1,363 


31,3 


4.128 


94,8 


6,947 


159,6 


39,042 


896,9 


122,673 


2,818,1 


16,537 


379,9 






+ 1.9 
1,505 


+ 1,0 
29,3 


+ 1.2 
8,638 


+.1 
168,1 




-1.1 
347,1 


-.3 
58,605 


-1,4 
1,140,4 


+2,6 
139,648 


+ 1,5 
2,717,4 


+ 13,2 
22,325 


+ 12,0 
434,4 






17,837 




1.587 


30,8 


10,060 


195.0 


20,578 


398,9 


58,594 


1.135,8 


146,269 


2,835,2 


27,011 


523,6 






+5.4 
385 


+5,1 
24,0 


+ 16,5 
898 


+ 16.0 
56,1 


+ 15,4 
3,033 


+ 14,9 
189,4 




-,4 
765,2 


+4,7 
46.634 


+4,3 
2.912,8 


+21,0 
3,023 


+20,5 
188,8 






12,251 




381 


23,6 


837 


52,0 


3,245 


201,4 


12,010 


745,5 


46.403 


2.880,4 


3,000 


186,2 






-1.0 


-1,7 


-6,8 


-7.3 


+7.0 


+6,3 


-2,0 


-2,6 


-.5 


-1.1 


-,8 


-1,4 






74 


11,2 


54 


8.1 


252 


38,0 


2,902 


437,7 


14,007 


2,112,7 


786 


118,6 






78 


11,8 


61 


9.2 


274 


41,5 


2,369 


358,9 


13,370 


2,025,8 


746 


113,0 






+5.4 


+5,4 


+ 13,0 


+ 13,6 


+8,7 


+9,2 


-18.4 


-18,0 


-4,5 


-4,1 


-5,1 


-4,7 






192 


26,9 


87 


12,2 


512 


71,6 


3.703 


517,9 


13.255 


1,853,8 


683 


95,5 






229 


32,0 


84 


11,7 


647 


90,5 


3.394 


474.7 


14,057 


1,966,0 


779 


109,0 






+ 19.3 


+ 19,0 


-3,4 


-4,1 


+26,4 


+26,4 


-8,3 


-8.3 


+6,1 


+6,1 


+ 14,1 


+ 14,1 







53 



Table 4. — Index of Crime: Region, Geographic Division, and Slate, 1988-1989 — Continued 



Area 



Year 



Population' 



Crime Index total 



Number 



Rale per 
100.000 



Modified Crime 
Index total- 



Number 



Rate per 
100,000 



Violent crime' 



Number 



Rate per 
100,000 



Property cnme' 



Number 



Rate per 

100,000 



Murder and non- 
negligenl manslaughter 



Number 



South' 



Percent change 

South Atlantic' 

Percent change 
Delaware 



Percent change .... 
District of Columbia' 



Percent change 

Florida' 



Percent change 
Georgia 



Percent change 
Maryland 



Percent change 
North Carolina 

Percent change 
South Carolina 

Percent change 
Virginia 



Percent change 
West Virginia ... 



Percent change 



East South Central' 

Percent change 
Alabama 



Percent change 
Kentucky' 



Percent change 
Mississippi 



Percent change 
Tennessee 



Percent change 

West South Central 

Percent change 
Arkansas 



Percent change 
Louisiana 



Percent change 
Oklahoma 



Percent change 
Texas 



Percent change 

Sec footnotes at end of tabic. 



1989 



1988 
1989 



1988 
1989 



1988 
1989 



1988 
1989 



1988 
1989 



1988 
1989 



1989 



1988 
1989 



1988 
1989 



1988 
1989 



1989 



1988 
1989 



1988 
1989 



1988 
1989 



1988 
1989 



1988 
1989 



1989 



1988 
1989 



1988 
1989 



1988 
1989 



84,878.000 
85,523,000 



42.601,000 
43,115,000 



660.000 
673,000 



620,000 
604,000 



12,377,000 
12.671.000 



6.401.000 
6,436,000 



4,644,000 
4,694.000 



6,526,000 
6,571,000 



3.493.000 
3.512,000 



5.996.000 
6.098,000 



1.884.000 
1.857.000 



5.171.931 

5.306.813 

+2.6 

2.668.223 

2.770.129 

+3,8 

31.674 

32.743 

+3.4 

61,471 

62,172 

+ 1.1 

1,106,212 

1,115.617 

+.9 

404.965 

455.225 

+ 12.4 

264.923 

261.107 

-1.4 

317,310 

345.225 

+8.8 

189,053 

197,348 

+4.4 

250,436 

256,814 

+2.5 

42.179 

43,878 

+4.0 



6.093.4 

6,205.1 

+1.8 

6,263.3 
6.425.0 

+2.6 
4.799.1 
4.865.2 

+ 1.4 
9,914.7 
10,293.4 

+3.8 
8.937.6 
8.804.5 

-1.5 
6.326.6 
7.073.1 
+ 11.8 
5,704.6 
5,562.6 

-2.5 
4.862.2 
5,253.8 

+8.1 
5.412.3 
5,619.2 

+3.8 
4.176.7 
4,211.4 
+.8 
2,238.8 
2.362.8 

+5.5 



15.393.000 
15,406.000 



4.127.000 
4,118.000 



3,721.000 
3,727.000 



2,627,000 
2.621.000 



4.919.000 
4,940,000 



619,143 
629,311 

+ 1.6 
188.261 
190.573 

+ 1.2 
116.646 
123.630 

+6.0 
94,384 
92.136 

-2.4 
219.852 
222.972 

+ 1.4 



4,022.2 
4,084.8 

+ 1.6 
4.561.7 
4,627.8 

+ 1.4 
3,134.8 
3,317,1 

+5.8 
3,592,8 
3,515.3 

-2.2 
4,469.4 
4,513.6 

+ 1.0 



26.884.000 
27,002.000 



2.422.000 
2.406.000 



4,420.000 
4.382.000 



3.263.000 
3,224.000 



16.780,000 
16.991,000 



1,884.565 

1.907,373 

+ 1.2 

102.199 

109.610 

+7.3 

254,624 

273.492 

+7.4 

182.373 

177,405 

-2.7 

1.345.369 

1.346.866 

+.1 



7.010.0 
7.063.8 
+.8 
4,219.6 
4.555,7 

+8,0 
5,760,7 
6.241,3 

+8,3 
5,589,1 
5,502,6 

-1.5 
8,017,7 
7,926.9 

-1,1 



548.062 

577,320 

+5J 

312.351 

331.025 

+6.0 

2.981 

3.745 

+25.6 

11.914 

12.937 

+8.6 

138.343 

140.575 

+ 1.6 

42.589 

47.357 

+ 11,2 

37.466 

40.152 

+7.2 

32,753 

35,902 

+9.6 

25,889 

28,576 

+ 10,4 

17,940 

19.057 

+6.2 

2.476 

2,724 

+ 10.0 



645.7 
675.0 

+4.5 
733.2 
767.8 

+4,7 

451.7 

556.5 

+23.2 

1.921,6 

2.141.9 

+ 11,5 

1.117.7 

1.109.4 

-.7 

665.3 

735.8 

+ 10.6 

806.8 

855.4 

+6.0 
501.9 
546.4 

+8.9 
741.2 
813.7 

+9.8 
299,2 
312.5 

+4.4 
131.4 
146.7 
+ 11.6 



4.623,869 

4,729,493 

+2.3 

2.355.872 

2.439,104 

+3,5 

28,693 

28,998 

+ 1,1 

49,557 

49,235 

-.6 

967,869 

975.042 

+.7 

362.376 

407.868 

+ 12.6 

227.457 

220.955 

-2.9 

284.557 

309,323 

+8.7 

163,164 

168,772 

+3.4 

232.496 

237,757 

+2,3 

39,703 

41,154 

+3,7 



5,447,7 
5,530.1 

+1.5 
5,530.1 
5,657.2 

+2.3 
4.347.4 
4,308,8 
-.9 
7,993,1 
8.151.5 

+2.0 
7.819.9 
7,695.1 

-1,6 
5.661.2 
6.337.3 
+ 11.9 
4.897.9 
4.707.2 

-3.9 
4.360.4 
4.707.4 

+8.0 
4.671.2 
4.805.6 

+2.9 
3.877.5 
3,898.9 
+.6 
2,107,4 
2,216,2 

+5.2 



70,085 

72,905 

+4.0 

23,052 

24.329 

+5.5 

12,284 

13.302 

+8.3 

8.544 

8.156 

-4.5 

26.205 

27.118 

+3,5 



455.3 
473.2 

+3.9 
558.6 
590.8 

+5.8 
330.1 
356.9 

+8.1 
325.2 
311.2 

-4 3 
532.7 
548.9 

+3.0 



549.058 
556.406 

+ 1.3 
165.209 
166.244 
+.6 
104.362 
110.328 

+5.7 
85,840 
83,980 

-2.2 
193.647 
195,854 

+ 1.1 



3,566.9 
3,611 6 

+ 1.3 
4,003,1 
4,037,0 
+ 8 
2,804,7 
2,960.2 

+5.5 
3,267.6 
3,204,1 

-1,9 

3.936.7 

3.964.7 

+.7 



165.626 

173.390 

+4.7 

10.237 

11.397 

+ 11.3 

31.711 

34,257 

+8.0 

14.179 

15,847 

+ 11,8 

109,499 

111,889 

+2.2 



616.1 
642.1 

+4.2 
422.7 
473.7 
+ 12.1 
717.4 
781.8 

+9.0 
4345 
491.5 
+ 13.1 
652,6 
658.5 
+ 9 



1.718.939 

1.733,983 

+.9 

91.962 

98,213 

+6.8 

222,913 

239,235 

+7,3 

168,194 

161,558 

-3,9 

1,235,870 

1.234.977 

-.1 



6.393.9 
6,421.7 
+.4 
3.796.9 
4,082.0 

+7.5 
5,043,3 
5.459.5 

+8.3 
5,154.6 
5,011,1 

-2.8 
7.365.1 
7.268.4 

-1.3 



8.723 
9,221 

+5.7 
4.412 
4,742 
+7,5 
34 
34 



369 

434 

+ 17,6 

1.416 

1.405 

-,8 

748 

820 

+9.6 

449 

544 

+21.2 

510 

584 

+ 14.5 

325 

320 

-1.5 

468 

480 

+2.6 

93 

121 

+30.1 



1.323 

1.384 

+4.6 

408 

421 

+3.2 

229 

293 

+27.9 

225 

253 

+ 12.4 

461 

417 

-9.5 



2,988 

3,095 

+3,6 

211 

203 

-3.8 

512 

653 

+27.5 

243 

210 

-13.6 

2.022 

2.029 

+.3 



54 



Table 4. — Index of Crime: Region. Geographic Di»ision, and Stale, l'>tt8-l9S<) — Continued 



Forcible rape 


Robbcr\ 


-•\ggra\ ated 
assault 


Burg 


ar> 


Larcen> 


-theft 


Motor \eh 


icle theft 


Arson- 


Number 


Rate per 


Number 


Rate per 


Number 


Rale per 


Number 


Rate per 


Number 


Rate per 


Number 


Rate per 


Number 


Rate per 




100,000 




100,000 




100.000 




100,000 




100.000 




100.000 




100.000 


X1.M7 


,W.9 


m.004 


208.5 


328.488 


387.0 


1,. 143,900 


1.583.3 


2,833,338 


3,338.1 


446.631 


526.2 






34,807 


40.7 


18.';.704 


217.1 


.A47.588 


406.4 


1.328,621 


1.553.5 


2,911,441 


3,404.3 


489,431 


572.3 






+2.8 


+2.0 


+4.9 


+4.1 


+5.8 


+5.0 


1.1 


-1.9 


+2.8 


+2.0 


+9.6 


+8.8 






16.80: 


.59.4 


104.811 


246.0 


186.326 


437.4 


661,806 


1,553,5 


1.473,911 


3.459.8 


220,155 


516.8 






17.568 


407 


112.334 


260.5 


196.381 


455.5 


675,553 


1,566,9 


1,524,662 


3.536.3 


238,889 


554.1 






♦■4.6 


4 3,3 


+ 7.2 


+ 5-9 


+ 5-4 


+4-1 


+ 2-1 


+.9 


+3,4 


+2.2 


+8,5 


+7.2 






491 


74.4 


784 


118-8 


1,672 


253-3 


6,868 


1.0406 


19.824 


3,003.6 


2.001 


303.2 






569 


84,5 


934 


138-8 


2.208 


328- 1 


6,072 


902.2 


20.294 


1,015,5 


2,632 


191,1 






+ 15.9 


+ 13,6 


+ 19.1 


+ 16.8 


+.12-1 


+29-5 


-11,6 


-13.3 


+2.4 


t,4 


+31,5 


+29.0 






165 


26.6 


5.690 


917.7 


5.690 


917-7 


12,300 


1.983.9 


28,624 


4.616.8 


8,633 


1,392.4 






186 


30,8 


6.542 


1.083.1 


5.775 


956-1 


11.780 


1.950.3 


29.164 


4.828.5 


8.291 


1,372.7 






+ 12.7 


+ 15.8 


+ 15.0 


+ 18.0 


+ 1.5 


+4-2 


-4.2 


-1.7 


+ 1.9 


+4.6 


-4.0 


-1,4 






6. : 54 


49.7 


49.916 


403-3 


80.857 


653-3 


283.960 


2,294,3 


589.215 


4.760.6 


94.694 


765.1 






6.299 


49,7 


51.188 


404-0 


81.683 


644.6 


289.254 


2,282.8 


583.702 


4.606.6 


102,086 


805.7 






+ 2.4 
2.970 




+2.5 
15.593 


+-2 
243.6 


+ 1.0 
23.278 


-1.3 
.163-7 


+ 1-9 
101.106 


-.5 
1.610.8 


-.9 
223.768 


-3.2 
1,495,8 


+7.8 
35,502 


+5.3 
554.6 






46.4 




3.150 


48.9 


1 7,450 


271.1 


25.937 


403-0 


110.215 


1.712-5 


255.578 


3,971.1 


42.075 


653.7 






+6.1 


+5.4 


+ 11.9 


+ 11.3 


+ 11.4 


+ 10-8 


+6.9 


+6-3 


+ 14.2 


+ 13,6 


+ 18,5 


+ 17.9 






1.721 


37.1 


13.994 


301.3 


21.302 


458-7 


54.735 


1.178.6 


141.509 


3.047,1 


11.213 


672.1 






1.783 


38.0 


15.589 


332-1 


22,2.16 


473-7 


52,735 


1.123.5 


137,043 


2,919.5 


11.177 


664.2 






*.V6 


+2.4 


+ 11.4 


+ 10.2 


+4.4 


+3-3 


-3.7 


-4-7 


-3.2 


-4.2 


-.1 


-1.2 






I.S33 


28.1 


7,085 


108.6 


23.325 


357-4 


90,791 


1.391.2 


177.426 


2.718.8 


16,340 


250.4 






1.964 


29.9 


8,770 


133.5 


24,584 


374-1 


98.792 


1.503.5 


191,783 


2,918.6 


18.748 


285.3 






+ 7.1 


+6.4 


+23.8 


+22.9 


+5.4 


+4-7 


+8.8 


+8.1 


+8.1 


+7.3 


+ 14.7 


+ 13.9 






1,493 


42.7 


4.357 


124.7 


19.714 


564-4 


49,467 


1.416.2 


103.055 


2,950.3 


10.642 


304.7 






1.632 


46.5 


4.574 


130.2 


22.050 


627.8 


48,914 


1.392.8 


107.845 


3.070.8 


12,013 


342.1 






+9.3 


+8,9 


+5.0 


+4.4 


+ 11.8 


+ 11.2 


-1.1 


-1.7 


+4.6 


+4.1 


+ 12.9 


+ 12.3 






1,622 


27,1 


6.748 


112.5 


9.102 


151-8 


49.069 


818.4 


165,343 


2,757,6 


18.084 


301.6 






1.638 


26.9 


6.494 


106.5 


10.445 


171-3 


46.156 


756.9 


172.645 


2,831,2 


18,956 


310.9 






+ 1.0 


-.7 


-3-8 


-5.3 


+ 14.8 


+ 12-8 


-5.9 


-7,5 


+4.4 


+2.7 


+4.8 


+ 3.1 






353 


18,7 


644 


34.2 


1.386 


73-6 


11.510 


610.9 


25.147 


1.334.8 


1.046 


161.7 






.147 


18.7 


793 


42.7 


1,463 


78-8 


11.635 


626.5 


26,608 


1.432,8 


2,911 


156-8 






-1.7 




+23-1 


+24.9 


+ 5-6 


+ 7-1 


+ 1-1 


+2.6 


+5.8 


+7,1 


-4,4 


-3-0 










5.215 


3.39 


18.189 


118.2 


45,358 


294-7 


176.212 


1.144.8 


323.863 


2.104.0 


48,983 


318.2 






5.480 


35-6 


18.330 


119.0 


47,711 


309-7 


167.189 


1.086.5 


337.556 


2.191.1 


51,461 


334.0 






+5.1 


+5.0 


+.8 


+.7 


+ 5-2 


+5-1 


-5-0 


-5.1 


+4.2 


+4.1 


+5,1 


+5.0 






1.228 


29.8 


4.860 


117.8 


16.556 


401-2 


50,920 


1.233-8 


103,282 


2.502.6 


11,007 


266.7 






1,276 


31.0 


5.515 


133.9 


17,117 


415-7 


47,224 


1.146.8 


106.771 


2,592.8 


12.249 


297.5 






+3-9 


+4.0 


+ 13.5 


+ 13.7 


+3.4 


+3-6 


-7,3 


-7.1 


+ 1.4 


+3.6 


+ 11,3 


+ 11.5 






835 


22.4 


2.764 


74-3 


8.456 


227-3 


30.747 


826.3 


66.711 


1.792,8 


6.904 


185.5 






917 


24.6 


2.836 


76-1 


9,256 


248-3 


30,526 


819.1 


71.611 


1.921.4 


8.191 


219.8 






+9,8 


+9.8 


+2.6 


+2-4 


+9.5 


+9-2 


-.7 


-.9 


+7.3 


+7,2 


+ 18.6 


+ 18.5 






951 


36.2 


2.028 


77-2 


5.340 


203-3 


13,651 


1.281.0 


47.818 


1.8203 


4,371 


166.4 






1.017 


38.8 


2.053 


78-3 


4.833 


184.4 


30,018 


1.145.3 


49.266 


1.879.7 


4,696 


179.2 






+6.9 


+7.2 


+ 1.2 


+ 1-4 


-9.5 


-9.3 


-10-8 


-10.6 


+3.0 


+3.3 


+7.4 


+7.7 






2,201 


44.7 


8.537 


173-6 


15.006 


305.1 


60.894 


1.237.9 


106.052 


2,156,0 


26.701 


542.8 






2.270 


46.0 


7.926 


160-4 


16.505 


334.1 


59.621 


1,206.9 


109.908 


2.224.9 


26.325 


532.9 






+ 3.1 


+ 2,9 


-7,2 


-7-6 


+ 10.0 


+9 5 


-2 1 


-2-5 


+ 1-6 


+ 3,2 


-14 


-18 






11.830 


44.0 


54.004 


200-9 


96.804 


160- 1 


505,882 


1.881-7 


1.035.564 


3.852.0 


177.491 


660-2 






11.759 


43.5 


55.040 


203-8 


103.496 


383,3 


485.679 


1-798-7 


1.049,223 


3.885.7 


199,081 


737-3 






-.6 


-1.1 


+ 1.9 


+ 1-4 


+6-9 


+6,4 


-4-0 


-4-4 


+ 1-3 


+.9 


+ 12.2 


+ 11.7 






780 


.12,2 


2.037 


84-1 


7.209 


297-6 


26.441 


1.091-8 


60,363 


2.492.3 


5,156 


212.9 






924 


38.4 


2.660 


110-6 


7.610 


316-3 


28.738 


1.194.4 


63.084 


2.621.9 


6,391 


265.6 






+ 18.5 


*19.3 


+30.6 


-31-5 


+ 5.6 


+6-3 


+8.7 


+9.4 


+4.5 


+5.2 


+24,0 


+24.8 






1.702 


38.5 


9.238 


209-0 


20,259 


458-3 


63.843 


1.444.4 


139.141 


3.148.0 


19.929 


450.9 






1.675 


38.2 


10.397 


237.3 


21,532 


491-4 


64.184 


1.464-7 


152.209 


3.473.5 


22.842 


521.3 






-1.6 


-.8 


+ 12.5 


+ 13.5 


+6.3 


+7.2 


+.5 


+ 1-4 


+9.4 


+ 10.3 


+ 14,6 


+ 15.6 






1,229 


37.7 


3.428 


105.1 


9.279 


284-4 


53.624 


1.641-4 


96,418 


2.954.9 


18.152 


556.3 






1.209 


37,5 


4.070 


126.2 


10.358 


321-3 


.■^0.411 


1.561-6 


92,270 


2.862.0 


18.877 


585-5 






-1.6 


-.5 


+ 18.7 


+20.1 


+ 11-6 


+ 13,0 


6.0 


-4.9 


-4.3 


-3.1 


+4.0 


+5-2 






8.119 


48.4 


39.301 


234.2 


60.057 


357-9 


361.972 


2.157.2 


739,642 


4.407.9 


134.256 


800.1 






7,951 


46-8 


37.913 


223.1 


63.996 


376-6 


142.146 


2.014-9 


741.660 


4.365.0 


150.971 


888-5 






-2 1 


-3-3 


-3.5 


-4.7 


+6-6 


+ 5-2 


-5-4 


-6-6 


+ .1 


-1,0 


+ 125 


+ 11-0 







55 



Table 4, — Index of Crime: Regio 


n. Geographic Div 


sion, and 


State, 1988-1989— Continued 
















Year 


Population' 


Crime Index total 


Modified Crime 
Index total- 


Violent 


crime' 


Property 


crime' 


Murder and non- 
negligent manslaughter 




Number 


Rate per 
100.000 


Number 


Rate per 
100,000 


Number 


Rate per 
100.000 


Number 


Rale per 
100.000 


Number 


Rate per 
100.000 


West 


1988 
1989 

1988 
1989 


50,424.000 
51,796,000 


.3,299,225 

.3,392,851 

+2.8 

817.395 

844.606 

+3.3 

258.955 

286,604 

+ 10,7 

203,267 

200,328 

-1.4 

39,690 

39.860 

+.4 

34,307 

32,220 

-6,1 

68,403 

69,679 

+ 1.9 

99,755 

100,448 

+.7 

94,333 

96,994 

+2.8 

18,685 

18.473 

-1.1 


6,543.0 

6,550.4 

+.1 

6.150.9 
6.250.3 

+ 1.6 
7,471.3 
8,059.7 

+7.9 
6.178.3 
6.039.4 

-2.2 
3.973.0 
3,931.0 

-1.1 
4,267.0 
3,997.5 

-6.3 
6.453.1 
6.271.7 

-2.8 
6.606.3 
6,573.8 
-.5 
5,578.5 
5.682.1 

+ 1.9 
3.967.1 
3.889.1 

-2.0 






.167.737 

390,667 

+6.2 

63.831 
63,819 


729.3 

754.2 

+3.4 
480.3 
472.3 

-1.7 
610.1 
599.6 

-1.7 
472.6 
471.4 
-.3 
234.7 
254.6 

+8.5 
123,0 
116.0 

-5.7 
780.7 
625.3 
-19.9 
658.1 
703.9 

+7.0 
243.1 
258,8 

+6.5 
314.0 
258.3 
-17.7 


2,931,488 
3,002,184 

+2.4 

753.564 

780.787 

+3.6 

237.808 

265,284 

+ 11.6 

187,719 

184.692 

-1,6 

37.345 

37.278 

- 2 

33.318 

31.285 

-6.1 

60,128 

62,732 

+4.3 

89,817 

89,693 

-.1 

90,223 

92,577 

+2.6 

17.206 

17.246 

+.2 


5,813,7 

5,796.2 

-.3 

5,670.6 
5,778.0 

+ 1.9 
6,861.2 
7,460.2 

+8.7 
5.705.7 
5.568.0 

-2.4 
3.738.2 
3,676.3 

-1.7 
4.144.0 
3.881.5 

-6.3 
5,672.5 
5,646.4 
-.5 
5.948.1 
5.870.0 

-1.3 
5.335.5 
5.423.4 

+ 1.6 

3.653.1 

3.630.7 

-6 


4,293 

4,317 

+.6 

881 

721 

-18.2 

294 

237 

-19.4 

187 

146 

-21.9 

36 

26 

-27.8 

21 

23 

+9.5 

111 

91 

-18.0 

173 

132 

-23.7 

47 

45 

-4.3 

12 

21 

+75.0 


8.5 


Percent change 


8.3 
-2,4 


13.289,000 
13.513.000 


6.6 




5.3 
-19.7 


Arizona 


1988 

1989 


3.466.000 
3,556,000 


21.147 

21.320 

+.8 

15.548 

15.636 

+.6 

2.345 

2.582 

+ 10.1 

989 

935 

-5.5 

8.275 

6.947 

-16.0 

9.938 

10,755 

+8.2 

4,110 

4,417 

+7.5 

1.479 

1.227 

-170 


8.5 




6.7 
-21.2 


Colorado 


1988 
1989 


3.290.000 
3.317.000 


5.7 




4.4 
-22.8 




1988 
1989 


999.000 
1,014,000 


3.6 




2.6 

-27.8 




1988 
1989 


804,000 
806.000 

1.060.000 
1,111.000 


2.6 


Percent change 


2,9 
+ 11.5 


Nevada 


1988 
1989 


10.5 




8.2 
-21.9 




1988 
1989 


1.510.000 
1,528.000 


11.5 




8.6 

-25.2 


Utah 


1988 

1989 


1,691,000 

1.707,000 


2.8 




2.6 
-7.1 


Wyoming 


1988 
1989 


471,000 
475,000 


2.5 


Percent change 


4.4 
+ 76.0 


Pacific 


1988 
1989 


37,135,000 
38,283,000 


2.481.830 

2.548,245 

+2.7 

25,248 

25,190 

_ 2 

1.869,092 

1,965,652 

+ 5.2 

65,460 

69,727 

+6.5 

193,479 

173,744 

-10.2 

328,551 

313,932 

-4.4 


6.683.3 
6,656.3 
-.4 
4,921.6 
4,779.9 

-2.9 
6,635.5 
6.763.4 

+ 1.9 
5.989.0 
6,270.4 

+4.7 
7.058.7 
6.161.1 
-12.7 
7.113.0 
6.593.8 

-7.3 






303,906 

326.848 

+ 7.5 

2.682 

2.623 

-2 2 

261,912 

284,1.16 

+8.5 

2.810 

3.004 

+6.9 

14.959 

14,625 

-2 2 

21.543 

22,460 

+4.3 


818.4 
853.8 

+4,3 
522.8 
497.7 

-4.8 
929.8 
977.7 

+5.2 
257.1 
270.1 

+5.1 
545.7 
518,6 

-5,0 
466.4 
471.7 

+ 1.1 


2,177,924 

2.221.397 

+2.0 

22.566 

22,567 


5.864.9 
5.802.6 

-1.1 
4,398.8 
4.282.2 

-2.7 
5.705.7 
5,785.8 

+ 1.4 
5,731.9 
6.0003 

+4.7 
6.513.0 
5,642.5 
-13.4 
6,646.6 
6,122,1 

-7.9 


3.412 

3.596 

+5.4 

29 

42 

+44.8 

2,936 

3.158 

+7.6 

44 

53 

+20.5 

139 

134 

-3.6 

264 

209 

-20.8 


9.2 


Percent change 


9.4 
+2.2 


Alaska 


1988 
1989 


513,000 
527,000 


5.7 




8.0 
+40.4 




1988 
1989 


28,168,000 
29,063.000 


1,607,180 

1,681.516 

+4.6 

62.650 

66.723 

+6.5 

178,520 

159,119 

-10.9 

307,008 

291,472 

-5.1 


10.4 




10.9 
+4.8 




1988 
1989 


1.093.000 
1.112.000 


4.0 




4.8 
+20.0 




1988 
1989 


2.741.000 
2,820,000 


5.1 


Percent change 


4.8 
-5.9 


Washington 


1988 
1989 


4,619.000 
4.761.000 


5.7 


Percent change 


4.4 
-22.8 


Puerto Rico' 


1988 
1989 


3,338,000 
3,358,000 


111,051 

1 10,027 

-.9 


3,327.1 

3,277.0 

-1.5 






22,259 

21,853 

-1.8 


666.9 
650.9 

-2.4 


88,792 
88,174 

-.7 


2,660.2 

2.626.1 

-1.3 


593 

467 

-21.2 


17.8 


Percent change 


13.9 
-21.9 



'Populations arc Bureau of the Census provisional estimalcs as of July I. 1988 and l')89. and arc subtci;! lo change 

^Ahhough arson data are included in the trend and clearance tables. sufTicienI data are not available to estimate totals for this oflcnse. 

^Violent crimes arc offenses of murder, forcible rape, robbery, and aggravated assault. Properly crimes are offenses of burglary, larceny-thefl. and motor vehicle theft. Data are not included 
for the properly crime of arson. 

•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 
VCR guidelines. The 1988 and 1989 forcible rape totals for Illinois were estimated using the national rate of forcible rapes when grouped by like agencies. See "Offense Estimation." page 3 for 
details. 

'Includes offenses reported by the Zoological Police 

*Data for 1988 were not available for the States of Florida and Kentucky, therefore, it was necessary that their crime counts be estimaled. See "Offense Estimation." page 3 for details. 

'Population and offense data are not included in U.S. totals. 

OtTense totals are based on all reporting agencies and estimates for unreported areas. 



56 



Table 4.— Index of Crime: Region. Geographic Division, and Slate, 1988-1989— Continued 












ForciW 


• rape 


Robben 


.^ggra% atcd 
assault 


Burg 


ar> 


Larceny 


-theft 


Motor veh 


cle theft 


Arson- 


Number 


Rale per 
100.000 


Number 


Rale per 
100.000 


Number 


Rate per 
100.000 


Number 


Rale per 
100,000 


Number 


Rale per 

100.000 


Number 


Rate per 
100.000 


Number 


Rate per 
100.000 


20,i»55 


41.6 


11.3.4-5 


225.0 


229.014 


454.2 


7.36,4S2 


1,460.6 


1.836,634 


3.642.4 


358.372 


710.7 






21.849 


42.2 


122.25.3 


236.0 


242.248 


467.7 


718.767 


1,3«7.7 


1,881.776 


3.633.1 


401.641 


775.4 






+4..1 


+ 1.4 


+7.7 


+4.9 


+5.8 


+3.0 


2,4 


-5.0 


+2.5 


-.3 


+12.1 


+9.1 






jso: 


.36.1 


14.014 


105.5 


44.134 


332.1 


176.738 


1.330.0 


526,968 


3.965,4 


49.858 


375.2 






4.s^^ 


35.9 


13.581 


100.5 


44.655 


330,5 


175.242 


1.296.8 


546,176 


4,041.9 


59.369 


439.3 






+ 11 


-6 


-3.0 


-4.7 


+ 1.2 


-.5 


-,8 


-2.5 


+3.6 


+ 1,9 


+ 19.1 


+ 17.1 






I..'-15 


38.8 


4.750 


137.0 


14.758 


425.8 


54,773 


1.580.3 


167,121 


4,821,7 


15,914 


459.1 






:.:»(. 


36.2 


4.944 


1.39,0 


14.853 


417.7 


59,284 


1.667.2 


181,574 


5.106,1 


24.426 


686.9 






-4 4 


-6.7 


+4 I 


+ 1.5 


+.6 


-1.9 


+8,2 


+5.5 


+8,6 


+5.9 


+53.5 


+49.6 






1.2b') 


38.6 


3.250 


98.8 


10.842 


329.5 


45.503 


1,383.1 


128,331 


3.900.6 


13.885 


422.0 






i.:o: 


36.2 


2.984 


90.0 


11.304 


340.8 


41,475 


1,250.4 


128.195 


3,864.8 


15.022 


452.9 






5 3 


-6.2 


-8.2 


-8.9 


+4.3 


+ 3.4 


-8,9 


-9.6 


-.1 


-.9 


+8,2 


+7.3 






179 


17.9 


202 


20.2 


1.928 


193,0 


8.691 


870.0 


26.893 


2.692.0 


1.761 


176.3 






236 


23.3 


152 


15.0 


2.168 


213.8 


8.843 


872.1 


26.825 


2.645.5 


1.610 


158.8 






+ 31.8 


+.30.2 


-24.8 


-25.7 


+ 12.4 


+ 10.8 


+ 1.7 


+.2 


-.3 


-1,7 


-8.6 


-9.9 






135 


16.8 


182 


22.6 


651 


81,0 


5,657 


703,6 


25,92! 


3,224,0 


1.740 


216.4 






145 


18.0 


137 


17.0 


630 


78,2 


5,575 


691,7 


23,892 


2,964.3 


1.818 


225.6 






+ 7.4 


+7.1 


-24.7 


-24.8 


-3.2 


-3.5 


-1.4 


-1,7 


-7,8 


-8,1 


+4.5 


+4.3 






782 


73.8 


3.087 


291.2 


4.295 


405.2 


16.376 


1.544,9 


37.401 


3.528.4 


6.35! 


599.2 






662 


59.6 


2.784 


250.6 


3.410 


306.9 


15.607 


1,404,8 


40,686 


3.662.1 


6.439 


579.6 






-15.3 


-19.2 


-9,8 


-139 


-20.6 


-24.3 


-4.7 


-9.1 


+8.8 


+3.8 


+ 1.4 


-3.3 






580 


38.4 


1.557 


103.1 


7.628 


505.2 


27.737 


1.836.9 


56.192 


3,721,3 


5.888 


389.9 






702 


45.9 


1.607 


105.2 


8.314 


544.1 


26,146 


1.711.1 


58,201 


3,809.0 


5.346 


349.9 






+21.0 


+ 19.5 


+3.2 


+2.0 


+9.0 


+7.7 


-5,7 


-6.8 


+3.6 


+2.4 


-9.2 


-10.3 






399 


23.6 


915 


54.1 


2.749 


162.6 


14,898 


881.0 


71.677 


4,238.7 


3,648 


215.7 






489 


28,6 


898 


52.6 


2,985 


174.9 


15.311 


897.0 


73.210 


4.288.8 


4.056 


237.6 






*22 ^ 


+21,2 


-1.9 


-2.8 


+8.6 


+7,6 


+2,8 


+ 1,8 


+2.1 


+ 1.2 


+ 11.2 


+ 10.2 






113 


24.0 


71 


15.1 


1.283 


272,4 


3.103 


658,8 


13.432 


2,851.8 


671 


142.5 






134 


28.2 


81 


17.1 


991 


208,6 


3,001 


631,8 


13,593 


2,861.7 


652 


137.3 






+ 18.6 


+ 17.5 


+ 14.1 


+ 13.2 


-22.8 


-23.4 


-3,3 


-4.1 


+ 1.2 


+.3 


-2.8 


-3.6 






16,153 


43.5 


99.461 


267.8 


184.880 


497,9 


559,744 


1,507.3 


1,309.666 


3.526.8 


308.514 


830.8 






16.993 


44.4 


108,666 


283.8 


197,593 


516,1 


543,525 


1,419.8 


1.335,600 


3.488.8 


342.272 


894.1 






+ 5.2 


+ 2.1 


+9.3 


+6.0 


+6,9 


+3.7 


-2,9 


-5.8 


+2,0 


-1.1 


+ 10.9 


+7.6 






296 


57.7 


374 


72.9 


1,983 


386.5 


4,321 


842.3 


15,91! 


3,101.6 


2,334 


455.0 






279 


52.9 


356 


67.6 


1.946 


369.3 


4,358 


826.9 


15,811 


3,000.2 


2.398 


455.0 






-5.7 
11,780 


-8.3 
41.8 


-4.8 
86.141 


-7.3 
305.8 


-1,9 


-4.5 


+.9 


-1.8 


-,6 


-3.3 


+2.7 








161,055 


571.8 


407.631 


1.447.1 


933,636 


3,314.5 


265.913 


944.0 






11,966 


41.2 


96.431 


331.8 


172,581 


593.8 


410.468 


1.412.3 


972,603 


3.346.5 


298,445 


1.026.9 






+ 1.6 


-1.4 


+ 11.9 


+8.5 


+7,2 


+3,8 


+.7 


-2.4 


+4,2 


+ 1.0 


+ 12.2 


+8.8 






355 


325 


919 


84.1 


1,492 


136.5 


13.726 


1,255.8 


44,946 


4.112.2 


3.978 


364.0 






496 


44.6 


925 


83.2 


1.530 


137.6 


14.939 


1.343.4 


47.374 


4.260.3 


4,410 


396.6 






-39.7 


+ 37.2 


+.7 


-1.1 


+2.5 


+.8 


+8.8 


+7.0 


+5.4 


+3.6 


+ 10.9 


+9.0 






1,111 


40.5 


5.289 


193.0 


8.420 


307.2 


48.355 


1,764.1 


113.872 


4.154.4 


16.293 


594.4 






1,314 


46.6 


4.282 


151.8 


8.895 


315.4 


40.197 


1.425.4 


103,690 


3.677.0 


15.232 


540.1 






+ 18.3 


+ 15.1 


-19.0 


-21.3 


+5.6 


+2,7 


-16.9 


-19.2 


-8.9 


-11.5 


-6.5 


-9.1 






2,611 


56.5 


6.738 


145.9 


11.930 


258,3 


85.711 


1.855.6 


201.301 


4.358.1 


19,996 


432.9 






2.938 


61 7 


6672 


140.1 


12.641 


265,5 


73.563 


1.545.1 


196,122 


4,119.3 


21,787 


457.6 






+ 12.5 


+92 


-10 


-4.0 


+6.0 


+2,8 


-14.2 


-16.7 


-2,6 


-5.5 


+9.0 


+5.7 






427 


12.8 


12.760 


382.3 


8.479 


254.0 


36,041 


1.079.8 


34,392 


1,030.4 


18.359 


550.0 






509 


15.2 


13.230 


394.0 


7.647 


227.8 


33,721 


1.004.3 


37.979 


1,131.1 


16,474 


490.7 






*I92 


+ 18.8 


+ 3.7 


+3.1 


-9.8 


-103 


-6.4 


-7.0 


+ 104 


+9.8 


-103 


-108 







57 



Table 5.— Index of Crime, State, 1989 



Population 



Crime 
Index 
total 



Modified 
Crime 
Index 
total' 



Violent 
crime- 



Property 
crime' 



Murder 
and non- 
negligenl 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
ihefl 



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 

Slate Total 

Rate per 100.000 
inhabitants 

ARKANSAS 

Metropolitan Statistical 
Area 

Area actually reporting 
Other Cities 

Area actually reporting 

Estimated totals 

Rural 

Area actually reporting 
Slate Total 

Rate per 100.000 
inhabitants 

CALIFORNIA 

Metropolitan Statistical 

Area 

Area actually reporting 

Other Cities 

Area actually reporting 
Estimated totals 

Rural 

Area actually reporting 
Estimated totals 

Stale Total 

Rate per 100.000 
inhabitants 

Sec footnotes at end of lablc. 



2.780.013 




99.0% 


152.119 


100.0% 


153.774 


556.220 




95.0% 


27.206 


100.0% 


28,625 


781.767 




81.2%) 


6,637 


100.0% 


8,174 


4,118.000 


190,573 



4.627.8 



223..363 




100.0% 


12.216 


174.486 




86.0% 


7,198 


100.0% 


8,372 


129.151 




100.0% 


4,602 


527,000 


25,190 



4,779.9 



2,718,009 




100.0% 


244.299 


459,072 




97.4% 


32.505 


100.0% 


33.382 


378.919 




90.9% 


8.108 


100.0% 


8.923 


3,556,000 


286,604 



8.059.7 



954.548 




100.0% 


68.230 


568.287 




99.4% 


29.521 


100.0% 


29,713 


883.165 




100.0% 


11,667 


,406,000 


109,610 



4.555.7 



27.808.040 




100.0% 


1,910,278 


516.727 




99.6% 


33.258 


100.0% 


33,379 


7.38,233 




95.8% 


21,062 


I00 0»^ 


21.995 


29,06.3,000 


1.965,652 



19,342 
19.543 

3,668 
3,859 

753 

927 

24,329 

590.8 



6.763.4 



664 

772 



720 
2,623 



497 7 



17.632 

2.466 
2.533 

1.050 

1.155 

21,320 

599.6 



7.928 



2.517 
2.533 



936 
11.397 



473,7 



278,637 

2,782 
2,793 

2.591 

2,706 

284.136 

977.7 



132,777 
134.231 

23.538 
24,766 

5,884 

7,247 

166,244 

4,037.0 



11.085 

6,534 
7,600 

3,882 
22,567 

4,282.2 



226,667 

30.039 
30.849 

7.058 

7.768 

265,284 

7,460.2 



60,302 

27.004 
27.180 

10,731 
98,213 

4,082.0 



1.631,641 

.30,476 
30,586 

18.471 

19,289 

1,681,516 

5.785.8 



314 
316 

43 
45 

49 

60 

421 

10.2 



8.0 



190 

20 
21 

24 

26 

237 

6.7 



56 
203 



8.4 



3,095 

26 
26 

35 

37 

.3,158 

10.9 



1,015 
1,022 

152 
160 

76 

94 

1,276 

31.0 



139 



77 
279 



52.9 



1,100 

119 

122 

58 

64 

1,286 

.36.2 



622 



164 
165 



137 
924 



38.4 



11.556 

188 
189 

212 

221 

11,966 

41.2 



4,990 
5,034 

371 
390 

74 

91 

5,515 

133.9 



19 
356 



67.6 



4.570 

317 
326 

44 

48 

4,944 

139.0 



2.122 



463 
466 



72 
2,660 



110.6 



95.819 

424 
426 

178 

186 

96,431 

331.8 



13.023 
13.171 

3.102 
3.264 

554 

682 

17,117 

415.7 



709 



546 
635 



602 
1,946 



369.3 



11.772 

2.010 
2,064 

924 

1,017 

14,853 

417.7 



5,072 

1,855 
1,867 

671 
7,610 

316.3 



168,167 

2,144 
2,152 

2,166 

2,262 

172,581 

593.8 



37,193 
37,559 

5,825 
6,129 

2,871 

3,536 

47,224 

1,146.8 



1.708 



1.100 
1.280 



1.370 
4,358 



826.9 



50,061 

6.222 
6,390 

2,574 

2,833 

59,284 

1,667.2 



16,940 



7,160 

7.207 



4.591 
28.738 



1.194.4 



395,995 

7,212 
7,238 

6,928 

7,235 

410.468 

1,412.3 



84.934 
85.927 

16,774 
17,649 

2,594 

3,195 

106,771 

2,592.8 



8.219 



4.727 
5.498 



2.094 
15,811 



3.000.2 



154.558 

22.042 
22,636 

3,980 

4,380 

181,574 

5,106.1 



39.058 



18.503 
18.623 



5.403 
6.3,084 



2.621.9 



940.416 

21.327 
21,404 

10,326 

10.783 

972,603 

3,346.5 



10,650 
10.745 

939 
988 

419 

516 

12,249 

297.5 



1,158 



707 
822 



418 
2,398 



455.0 



22,048 

1.775 
1.823 

504 

555 

24,426 

686.9 



4,304 



1,341 
1 ,350 



737 
6,391 



265.6 



295.230 

1.937 
1.944 

1,217 

1,271 

298,445 

1,026.9 



58 



I able 5.— Index of Crime, State, 1989— Continued 



Population 



Crime 
Index 
total 



MiKlificd 
t rrmc 
lnJc\ 
total' 



Violent 
crime' 



i'ropcrty 



Murilcr 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Aggra- 
vated 
assault 



Burgtar> 



Larcenv- 
Ihelt' 



Motor 
vehicle 
thcll 



COLORADO 

Mciropoltian Slattsttcal 

■Vrca 

Area actually reporting 
Other Ciltes 

Area actually repoiling 

Estimated totals 

Rural 

Area actually reporting 
Stale Total 

Rate per 100.000 
inhabitants 

CONNECTICUT 

Metropolitan Statistical 
Area 

Area actually reporting 
Other Cities 

Area actually reporting 
Rural 

Area actually reporting 
State Total 

Rate per 100.000 
inhabitants 

DELAWARE 

Metropolitan Statistical 

Area 

Area actually reporting 
Other Cities 

Area actually reporting 
Rural 

Area actually reporting 
State Total 

Rate per 100.000 
inhabitants 

DISTRICT OF COLUMBIA* 

Metropolitan Statistical 

Area 

Area actually reporting 

Other Cities 

Rural 

State Total 

Rate per 100.000 
inhabitants 

FLORIDA 

Metropolitan Statistical 
Area 

Area actually reporting 
Other Cities 

Area actually reporting 
Rural 

Area actually reporting 
State Total 

Rale per 100.000 
inhabitants 

GEORGIA 

Metropolitan Statistical 

Area 

Area actually reporting 
EstimateiJ totals 

Other Cities 

Area actually reporting 
Estimated totals 

Rural 

Area actually reporting 
Estimated totals 

Stale Total 

Rale per 100.000 
inhabitants 

See footnotes at end of table. 



2.70.1.021 




100.0% 


171. .151 


292.149 




99.7% 


19,027 


100.0% 


19.085 


.12 1 .8.10 




100.0% 


9.892 


.1,317,000 


200,328 



6.039,4 



2.968.529 




100,0% 


163.067 


87.903 




100,0% 


3,673 


182,568 




100,0% 


3,955 


3.239.000 


170,695 



443.807 
100,0% 
70.708 
100.0% 

158.485 
100.0% 

673,000 



604,000 
100,0% 
NONE 
NONE 

604.000 



11,495.723 
1 00.0% 
313.068 
100.0% 
862.209 
100.0% 
12,671,000 



4.174.661 

99.3% 

100.0% 

894.944 

94,1% 

100,0% 

1.366.395 

98.3% 

100.0% 

6,436,000 



5.270.0 



22.671 

5.391 

4.681 
32,743 

4.865.2 



62.172 

62,172 

10.293.4 

1.061.917 

22.224 

31.476 
1,115,617 

8.804,5 



353,104 
355.498 

54.709 
58.115 

40.924 
41.612 
455,225 

7.073.1 



1 3.990 

926 
928 

718 
15,6.16 

471 4 

15.883 

171 

522 
16,576 

511.8 

2.342 

566 

837 
3,745 

556.5 

12.937 

12,937 

2.141.9 

133.707 

2,760 

4.108 
140,575 

1,109,4 



36.411 
36.616 

6.090 
6.470 

4.200 

4.271 

47,357 

735.8 



157.361 



18.101 
18.157 



9.174 
184,692 



5.568.0 



147,184 
3,502 



3,433 
154,119 



4,758,2 



20,329 
4.825 



3.844 
28,998 



4. .308. 8 



49.235 

49,235 

8,151,5 

928,210 

19,464 

27,368 
975,042 

7.695,1 



316,691 
318,882 

48,619 
51,645 

36,724 

37,341 

407,868 

6.337,3 



117 



183 
1 



6 
190 



5,9 



5,1 



434 

434 

71 9 

1,314 

20 

71 
1,405 



585 
587 

108 
115 

1 16 
1 18 
820 

12,7 



32 
1,202 



.36.2 



830 
29 



33 
892 



27.5 



314 
64 



191 
569 



84.5 



186 

186 

30.8 

5.841 

116 

342 
6,299 

49,7 



2,349 
2,363 

302 
321 

458 

466 

3,150 

48,9 



2,888 

72 
72 

24 
2,984 

90,0 



6,863 
40 



53 
6,956 



214,8 



733 

132 



69 
934 



138.1 



6,542 

6,542 

1.083.1 

50.054 

645 

489 
51,188 

404.0 



15.041 
15,121 

1.589 
1,688 

630 

641 

17,450 

271.1 



796 
798 

646 
11,304 

340.8 



8.007 

101 

430 
8,538 

263.6 

1.271 

370 

567 
2,208 

328.1 

5.775 

5,775 
956,1 

76.498 

1.979 

3.206 
81,683 

644.6 



18.438 
18.545 

4.091 
4,346 

2.996 

3,046 

25,937 

403.0 



36.462 



2.937 
2.946 



2.067 
41,475 



1.250.4 



37,913 

746 

1,376 
40,035 

1.236.0 



4.162 
717 



1.193 
6,072 



902.2 



11.780 

11,780 

1.950.3 

272.649 

5.869 

10.736 
289,254 

2.282.8 



80.988 
81,500 

13.402 
14.236 

14,240 

14.479 

110,215 

1.712.5 



107.191 



14.464 
14.509 



6.495 
128,195 



3.864.8 



87.278 

2.485 

1,720 
91,483 

2,824,4 



13,935 
3,904 



2,455 
20,294 



3,015.5 



29.164 

29,164 

4.828.5 

556,465 

12,525 

14,712 
583,702 

4,606.6 



199.605 
201.072 

32.617 
34.647 

19,531 

19.859 

255,578 

3.971,1 



1 3.708 



700 
702 



612 
15,022 



452,9 



21,993 
271 



337 
22,601 



697,8 



2.232 
204 



196 
2,632 



391 



8.291 

8,291 

1.372.7 

99.096 

1.070 

1.920 
102,086 

805.7 



36.098 
36.310 

2,600 
2.762 

2.953 

3.003 

42,075 

653.7 



59 



Tabic 5.— Index of Crime, Slate, 1989— Continued 



HAWAII 

Melropolitan Statistical 
Area 

Area actually reporting 
Other Cities 

Area actually reporting 
Rural 

Area actually reporting 
Stale Total 

Rate per 100,000 
inhabitants 



IDAHO 

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 



ILLINOIS' 

Melropolitan 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 



INDIANA 

Metropolitan Statistical 

Area 

Area actually reporting 
Estimated totals 

Other Cities 

Area actually reporting 
Estimated totals 



Rural 



Slate 



Area actually reporting 

Estimated totals 

lolal 

Rate per 100.000 
inhabitants 



IOWA 

Metropolitan Statistical 
Area 

Area actually reporting 
Other Cities 

Area actually reporting 
Rural 

Area actually reporting 

Estimated totals 

Slate Total 

Rate per 100.000 
inhabitants 



Populaliun 



Sec ioolnotcs at end ot (able 



848,'».'iy 
100.0% 
.^7.054 
lOO.O'Cn 

225.987 

100.0% 

1.112,000 



202.940 




100.0% 


9.133 


.198.678 




99.0% 


2 1 .809 


100.0% 


22.023 


4 12. .182 




97.4% 


8.479 


100.0% 


8.704 


.014,000 


39,860 



9.590.182 

99.8% 

100.0%. 

1,040.914 

98.3% 

100.0% 

1 .026.904 

100,(1"/" 

11,658,000 

5.639.2 



3.809.116 

84.1% 

IOO,l)"/.i 

625.193 

72.8%, 

100.0% 

1,158.691 

45.6»^ 

100.0% 

5,593,000 



Crime 
Index 
lulal 



52.909 

3.061 

13.757 
69,727 

6.270.4 



3.931.0 



657,414 



175.757 
198.384 

22.160 
.TO.420 

8.908 

19.523 

248,327 

4.440.0 



Modified 
Crime 
Index 
lolar 



1.233.177 




100.0"/(, 


74,223 


664,509 




100.0% 


28.635 


942.314 




98 1% 


12,81 1 


1(10.1)"/., 


13,054 


2.840.000 


115.912 



4,081.4 



ViolenI 
crimc- 



2.297 
114 



593 
3,004 



270.1 



652 

1.202 
1.214 

697 

716 

2,582 

254.6 



Property 
crime' 



Murder 
and non- 
ncghgenl 

man- 
slaughter 



98,61 

845.9 



17.239 
18,579 

1.503 
2.063 

955 

2.093 

22,735 

406.5 



5.399 

1.555 

598 

609 

7,563 

266.3 



50.612 
2.947 



1 3. 1 64 
66,723 



6.000.3 



8,481 

20.607 
20,809 

7.782 

7,988 

37,278 

3.676,3 



507,459 
508.117 



37.561 
38,197 



12.489 
558,803 



4.793.3 



158.518 
I 79,805 



1.023 
1.023 



1,05 

9.0 



Forcible 
rape 



20,657 


1 1 


28,357 


15 


7,953 


35 


1 7,430 


77 


225,592 


353 


4.033.5 


6,3 


68.824 


41 


27.080 


7 


12,213 


f. 


12,445 


6 


Ifl8..349 


54 


3.815 1 


1 ') 



19 



65 
496 



44,6 



96 

97 

71 

73 

236 



4,161 

35,7 



1.374 
1.502 

78 
107 

89 

195 

1,804 

32.3 



363 

73 



23 

23 

459 



16.: 



815 

27 



83 
925 



83-2 



50 



15,0 



38.697 
.«.7I5 



364 
370 



53 
.39,138 



335,7 



4.908 
5.239 

202 

277 

71 

155 

5,671 

101 4 



973 

107 

27 

28 

1,108 

39,0 



Aggra- 
vated 
assault 



1.027 
66 



437 
1,5.30 



137.6 



Burglary 



1.015 
1.025 

592 

608 

2,168 

213.8 



52,132 
52.161 



1.591 
1.618 



482 
54,261 



465.4 



10.723 
11.577 

1.212 
1.664 

760 

1.666 

14,907 

266,5 



4.022 

1.368 

542 

552 

5,942 

209.2 



Larcen> 
theft 



10,685 
653 



3.601 
14,939 



1,343.4 



2.281 

3.893 
3.931 

2,563 
2,631 
8,843 

872.1 



112.916 
1 1 3,045 



7,611 
7,740 



4.656 
125,441 



.076,0 



38.329 
43.243 

3.608 
4.953 

2.740 

6.005 

54,201 

969,1 



14.814 

4.967 

4.191 
4.271 
24,052 

S46.9 



Motor 
vehicle 
theft 



36,325 
2.184 



8.865 
47,374 



4,260,3 



5.829 

15.961 
16.118 

4.752 
4.878 
26,825 

2,645,5 



325.600 
326.068 



28.712 
29.198 



7.290 
362,556 



3.109.9 



102.988 
117.393 

16.077 
22.070 

4.5X6 

10.051 

149,514 

2.673,2 



51.106 

2 1 .080 

7.473 

7.615 

79,801 

2.809,9 



3.602 
110 



698 
4,410 



396.6 



371 

753 
760 

467 

479 

1,610 

158,8 



68.943 
69.004 

1,238 
1.259 

543 
70,806 

607.4 



17.201 
19.169 

972 
1,334 

627 

1,374 

21,877 

391,1 



2.904 

1 .033 

549 

559 

4.496 

158.3 



60 



I.ihlc 5.— Index of Crime, Slate, 1989— Continued 



IMpulalion 



Crime 
louit 



Modifictl 

Index 
UXal' 



Propttly 
crime' 



Murder 
and non- 
ncgligcm 

man- 
slaughter 



Forcible 
rape 



Aggra- 
valcd 
assault 



Burglary 



Larcenv- 
Ihefl 



Motor 
vehicle 
ihcrt 



KANSAS 

Mciropolitan Statistical 
Area 

Area actually reporting 
Other Cities 

Area actually reporting 
Rural 

Area actually reporting 
State Total 

Rate per 100.000 
inhabitants '. 

KENTICKY 

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 

LOUISIANA 

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 
mhabiiants 

MAINE 

Metropolitan Statistical 
Area 

Area actually reporting 
Other Cities 

Area actually reporting 

Estimated totals 

Rural 

Area actually reporting 
Stale Total 

Rale per 100.000 
inhabitants 

MARYLAND 

Metropolitan Statistical 
Area 

Area actually reporting 

Estimated totals 

Other Cities 

Area actually reporting 
Rural 

Area actually reporting 
State Total 

Rate per 100.000 

inhabitants 

Sec roolnoies at end of table. 



1.343,974 




100.0% 


87.123 


674,069 




100.0% 


iO.Tit^ 


4S9.9.';7 




100.0% 


7..360 


2,513,000 


125,219 



4,982.8 



1.718,964 




97.6% 


80,212 


100.0"/.) 


81,706 


608,300 




97.7% 


21.187 


100.0% 


21,677 


1,399.736 




71.7% 


14,514 


1 00.0% 


20,247 


3,727,000 


123,6.30 



3.317,1 



3,032.676 




93 8% 


222,768 


100.0"/(, 


234,129 


476,517 




54.7% 


12.005 


100,0% 


21,962 


872,807 




54,. 3% 


9.449 


100.0% 


17,401 


4,382,000 


27.3,492 



6.241,3 



451,971 




100,0% 


22,660 


417.450 




99.8% 


15,332 


100,0% 


15.371 


352.579 




100.0% 


5,761 


1,222,000 


43,792 



3.583,6 



4,.362,705 




99,9% 


246.310 


100,0% 


246,466 


85,331 




100,0% 


8.11 1 


245.964 




100.0% 


6,530 


4,694.000 


261,107 



7,641 
1.886 



546 
10,073 



7.770 
7,888 

2.048 
2,095 

2,379 
3.319 
13,302 

356.9 



28.289 
29,341 

1,288 
2,357 

1,390 

2,559 

34,257 

781.8 



899 



463 
464 



5,562,6 



313 
1,676 



137.: 



37,970 
37,986 



1,007 



1,159 
40,152 



855,4 



79,482 
28,850 



6,814 
115,146 



4,582.0 



72,442 
73.818 

19,139 
19,582 

12,135 

16,928 

110,328 

2,960.2 



194.479 
204,788 

10,717 
19,605 

8,059 

14,842 

239,235 

5.459,5 



21,761 



14,869 
14,907 



5,448 
42,116 



3,446.5 



208.340 
208,480 



7.104 



5.371 
220,955 



4.707.2 



105 
21 



102 
104 

16 
16 

124 
173 
293 

7.9 



508 
521 

35 
64 

37 

68 

653 

14,9 



3.2 



516 
516 



21 
544 



673 
185 



59 
917 



36,5 



520 
530 

U13 
105 

202 
282 
917 

24,6 



1,.308 
1,370 

48 
88 

118 

217 

1,675 

38.2 



62 
229 



18.7 



1,637 
1,637 



56 



90 
1,783 



38,0 



2,319 

154 

35 
2,508 

99,8 



2,363 
2,389 

205 
210 

170 

237 

2,8.36 

76.1 



9,608 
9.878 

201 
368 

82 

151 

10..397 

237.3 



227 



16 
293 



24.0 



15.296 
15,301 



169 



1 19 
15,589 



332,1 



4.544 
1,526 



440 
6,510 



259,1 



4,785 
4,865 

1,724 
1.764 

1,883 
2,627 
9,256 

248.3 



16,865 
17,572 

1 ,004 
1.837 

1.153 
2.123 
21,5.32 

491,4 



566 

323 
324 

225 
1,115 

91.2 



20.521 
20,532 



775 



929 
22,236 



473,7 



20,505 
6,707 



2,659 
29,871 



1,188.7 



18.399 
18,726 

4,446 
4,549 

5,198 

7.251 

30,526 

819.1 



51.662 
54,178 

2,854 
5.221 

2,598 

4,785 

64,184 

1.464.7 



4,823 



2.665 

2.672 



2,315 
9,810 



802,8 



49.218 
49,248 



1,557 



1,93(1 
52,7.35 



1,123.5 



52,857 
21,134 



3.811 
77,802 



3.096,0 



48,905 
49,874 

13,531 
13,844 

5,658 

7,893 

71,611 

1,921.4 



121,867 
128,949 

7,580 
13,866 

5.101 

9.394 

152.209 

3,473.5 



15.669 



11,584 
11.613 



2.785 
.30,067 



2.460,5 



128,604 
128,701 



5,258 



3.084 
137.043 



2.919.5 



6.120 
1.009 



344 

7.473 



5.138 
5,218 

1,162 
1.189 

1.279 
1.784 
8,191 

219.8 



20.950 
21,661 

283 
518 

360 

663 

22.842 

521.3 



620 
622 

348 
2,239 

183.2 



30.518 
30.531 



289 



357 
31,177 



61 



Table 5.— Index of Crime, Slate, 1989— Continued 



Populalion 



trimc 
Index 

total 



Modified 
Crime 
Index 
tola!' 



Violent 

crime- 



Property 
crime' 



Murder 
and non- 
ncgligenl 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
Iheft 



Motor 
vehicle 
theft 



MASSACHUSETTS 

Metropolitan Statistical 

Area 

Area actually reporting 
Estimated totals 

Other Cities 

Area actually reporting 
Estimated totals 

Rural 

Area actually reporting 

Stale Total 

Rale per 100.000 
inhabitants 

MICHIGAN 

Metropolitan Statistical 

Area 

Area actually reporting 
Estimated totals 

Other Cities 

Area actually reporting 
Estimated totals 

Rural 

Area actually reporting 

Slate Total 

Rate per 100,000 
inhabitants 

MINNESOTA 

Metropolitan Statistical 
Area 

Area actually reporting 
Other Cities 

Area actually reporting 
Rural 

Area actually reporting 
Slate Total 

Rate per 100.000 
inhabitants 

MISSISSIPPI 

Metropolitan Statistical 

Area 

Area actually reporting 
Estimated totals 

Other Cities 

Area actually reporting 
Estimated totals 

Rural 

Area actually reporting 
Estimated totals 

Stale Tolal 

Rale per 100.000 
inhabitants 

MISSOURI 

Metropolitan Statistical 

Area 

Area actually reporting 
Estimated totals 

Other Cities 

Area actually reporting 
Estimated totals 

Rural 

Area actually reporting 
Estimated totals 

State Total 

Rale per 1 00.000 
inhabitants 

See looinoics at end of table 



5,387,583 




85.8% 


254,617 


100.0% 


281,590 


5 1 3,580 




84.3% 


18,535 


100.0% 


21,974 


11,837 




100,0% 


128 


5,913,000 


303,692 



2,900.021 
100,0% 
513,504 
100.0% 
939,475 
100.0% 
4,353,000 



5,136.0 



7,415,780 




96.0% 


475,461 


100.0% 


490.669 


691,085 




96.3% 


28,303 


100.0% 


29,390 


1.166.135 




100,0% 


33.383 


9,273,000 


553,442 



5,968.3 



153,144 
22.056 



15,601 
190.801 



4.383.2 



799,700 




75.0% 


37,715 


100.0% 


43.889 


676,034 




77.6% 


29.734 


100.0% 


38.331 


1,145.266 




39.1% 


3,880 


100.0% 


9,916 


2,621,000 


92,136 



3,515.3 



3.407,591 




96.6% 


223,226 


100.0% 


227.390 


479,488 




88.6% 


19.402 


100.0% 


2 1 .904 


1,271,921 




61.9% 


9.419 


100.0'K, 


15.214 


5,159,000 


264,508 



5,127.1 



34.878 
37,376 

2,124 
2,518 

18 
39,912 

675.0 



60,182 
61,406 



1,482 
1.539 



2.815 
65,760 



709.2 



11.087 

715 

747 
12,549 

288.3 



3.149 
3.687 

2.384 
3.074 

546 
1.395 
8,156 

311.2 



29.404 
29.728 

1,225 
1.383 

943 

1.523 

32,634 

632.6 



219,739 
244,214 

16,411 
19,456 

110 
263,780 

4,461,0 



415,279 
429,263 



26,821 
27,851 



30,568 
487,682 



5,259.2 



142,057 
21,341 



14,854 
178,252 



4,094.9 



34,566 
40,202 

27,350 

35,257 

3,334 

8,521 

83,980 

3,204.1 



193,822 
197,662 

18.177 
20,521 

8,476 

13.691 

231,874 

4,494.6 



180 
188 



254 
4.3 



948 
958 



26 
993 



10,7 



76 
90 

73 
94 

27 

69 

253 

9.7 



352 
354 

14 

16 

24 

39 

409 

7,9 



1,612 
1.733 



123 
146 



1,881 

31.8 



5,168 
5,311 



304 
316 



997 
6,624 



71.4 



1,105 
112 



146 
1,363 



31.3 



395 
523 

191 
246 

97 

248 

1,017 

38.8 



1 ,307 
1,328 

99 
112 

91 

147 

1,587 

.30.8 



11,241 
11,784 



165 
196 



1 1,980 

202,6 



20,083 
20,367 



132 
137 



112 
20,616 



222.3 



4,037 

57 



34 
4,128 



94.8 



1,108 
1,228 

517 
667 

62 

158 

2,053 

78.3 



9,754 
9,819 

128 
144 

60 

97 

10,060 

195.0 



21,845 
23,671 

1,780 
2,110 

16 

25,797 

436,3 



33,983 
34,770 



1,037 
1,077 



1,680 

37,527 



404.7 



5,857 
543 



547 
6,947 



159.6 



1,570 
1.846 

1 .603 
2.067 

360 

920 

4,833 

184.4 



17,991 
18,227 

984 
1,111 

768 

1,240 

20,578 

398.9 



51,572 
57,368 

4,727 
5,604 

32 
63,004 

1,065.5 



95,213 
97,872 

4,172 
4,332 

11.375 
113,579 

1,224.8 



31.198 
2,963 



4.881 
39,042 



896.9 



12.174 
1 5.063 

8.409 
10.840 

1.610 

4.115 

30,018 

1.145,3 



48,078 
49.005 

3.345 
3.776 

3.599 

5.813 

58,594 

1.135.8 



120,234 
134,666 



10,302 
12,214 



45 
146,925 



2,484. i 



257,123 
266,802 

21,665 
22,497 

17.797 
307,096 

3,311.7 



96,554 
17,206 



8.913 
122,673 



2.818.1 



20,143 

22,422 

17,820 
22,972 

1.515 

3,872 

49,266 

1.879.7 



120.565 
123.171 

14.153 

15.978 

4.408 

7.120 

146,269 

2.835.2 



47,933 
52,180 



1,382 
1,638 



33 
53,851 



910.7 



62,943 
64,589 

984 
1,022 

1,396 
67,007 

722.6 



14,305 

1,172 

1,060 
16,537 

379.9 



2,249 
2,717 

1,121 
1,445 

209 

534 

4,696 

179.2 



25,179 
25.486 

679 

767 

469 

758 

27,011 

523.6 



62 



l.ihic 5. — Index of Crime, State, 1989 — Continued 



Population 



Oimc 
lndc\ 
total 



Modilicd 
frimc 
Index 
lolal' 



CroptTtv 



Murder 
and non- 
ncRligcnt 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
then 



Motor 
vehicle 
then 



MONTANA 

Metropolitan Statistical 

•\rca 

Area actually reponing 

Other Cities 

Area actually reponing 
Estimated totals 

Rural 

Area actually reporting 
Estimated totals 

Slate Total 

Rate per l(X).000 
inhabitants 

NEBRASKA 

Metropolitan Statistical 

Area 

Area actually reporting 

Other Cities 

Area actually reporting 
Estimated totals 

Rural 

Area actually reporting 
Estimated totals 

Stale Total 

Rate per 100.000 
inhabitants 

NEVADA 

Metropolitan Statistical 

Area 

Area actually reporting 
Estimated totals 

Other Cities 

Area actually reponing 
Estimated totals 

Rural 

Area actually reponing 
Estimated totals 

Stale Total 

Rate per 100.000 
inhabitants 

NEW HAMPSHIRE 

Metropolitan Statistical 

Area 

Area actually reporting 
Estimated totals 

Other Cities 

Area actually reponing 
Estimated totals 

Rural 

Area actually reporting 

Slate Total 

Rate per 100.000 
inhabitants 

NEW JERSEY 

Metropolitan Statistical 

Area 

Area actually reponing 
Estimated totals 

Other Cities 

Rural 

State Total 

Rate per 100.000 
inhabitants 

Sec footnotes at end of table. 



W4,8').1 




100.0% 


11.182 


189,933 




83.6% 


10.062 


100.0% 


12.033 


421.174 




92.7% 


8.347 


100.0% 


9.005 


806,000 


32,220 



7.736.000 
99.8% 
100.0% 
NONE 
NONE 

7,736,000 



3,997.5 



766.589 




100.0% 


43.830 


381.022 




94.2% 


15.092 


100.0% 


16,016 


463.389 




84.8% 


5,149 


100.0% 


6.070 


1,611,000 


65.916 



4.091 6 



918,016 




94.1% 


59,927 


100.0% 


62.676 


35.212 




54.1% 


1,129 


100.0% 


2.088 


157,772 




72.9% 


3.585 


100.0% 


4,915 


1,111,000 


69,679 



6,271.7 



591,059 




99.5% 


26,219 


100.0% 


26,334 


342,832 




90.8% 


11,230 


100.0% 


12,365 


173.109 




100.0% 


l.Ill 


1,107,000 


39,810 



3,596.2 



407,096 
407,643 



407,643 

5,269.4 



306 

257 
308 

296 
321 
935 

116.0 



3.825 

393 

417 

222 

261 

4,503 

279.5 



6.077 
6.297 

83 
154 

362 

496 

6,947 

625.3 



1.225 
1.232 



461 
507 



126 
1,865 



168.5 



47.064 
47,111 



47,111 

609.0 



10.876 

9.805 

11,725 

8,051 

8,684 

31,285 

3,881.5 



40.005 

14.699 
15.599 

4,927 

5,809 

61,413 

3,812.1 



53,850 
56.379 

1.046 
1,934 

3.223 

4,419 

62,732 

5,646.4 



24.994 
25.102 



10.769 
11.858 



985 
37,945 



3.427.7 



360,032 
360,532 



360,532 

4.660.4 



2.9 



4 

4 

7 

8 

40 

2.5 



84 



3.3 



394 
394 



394 

5.1 



33 
39 

32 
35 
145 

18.0 



296 

53 
56 

25 

29 

.381 

23.6 



587 
623 

3 
6 

24 

33 

662 

59.6 



198 
199 



29 
327 



29.5 



2.446 
2,449 



2,449 

31.7 



86 

24 
29 

20 
22 
137 

17.0 



778 

42 
45 

12 

14 

837 

52.0 



2,646 
2.696 

12 
22 



66 
2,784 



250.6 



208 
209 



9 
264 



23.8 



21,119 
21,139 



21,139 

273.3 



139 

197 
236 

236 
255 
630 

78.2 



2,723 

294 
312 

178 

210 

3,245 

201.4 



2,760 
2,892 

68 
126 

286 

392 

3,410 

306.9 



801 
806 



325 
358 



74 
1,238 



23.105 
23,129 



23,129 

299.0 



1,976 

1,252 
1,497 

1,949 
2,102 
5,575 

691.7 



8,098 

2,303 
2,444 

1,245 

1,468 

12,010 

745.5 



13,231 
13,798 

305 
564 

908 

1,245 

15,607 

1.404.8 



5,163 
5,183 



2,291 

2,523 



451 
8,157 



736.9 



75,447 
75,548 



75,548 

976.6 



8,294 

8.066 
9,646 

5,518 
5,952 
23,892 

2,964.3 



29,745 

11,878 
12,605 

3,438 

4.053 

46,403 

2.880.4 



34,761 
36,556 

673 
1,244 

2,105 

2,886 

40,686 

3,662.1 



17,741 
17,821 

7,985 
8,792 

474 
27,087 

2,446.9 



213.563 
213,878 



213,878 

2,764.7 



606 

487 
582 

584 

630 

1,818 

225.6 



2,162 

518 
550 

244 

288 

3,000 

186.2 



5,858 
6,025 

68 
126 

210 

288 

6,439 

579.6 



2.090 
2.098 



493 

543 



60 
2,701 



244.0 



71,022 
71,106 



71,106 

919.2 



63 



Table 5.— Index of Crime, State, 1989— Continued 



Population 



Crime 
Index 
total 



Modified 
Crime 
Index 
total' 



Violent 
crime- 



Property 
crime' 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robber>' 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



NEW MEXICO 

Metropohlan Statistical 

Area , 

Area actually reporting 
Estimated totals 

Other Cities 

Area actually reporting 
Estimated totals , 

Rural 

Area actually reporting 
Estimated totals 

Slate Total 

Rale per 100.000 
inhabitants 

NEW YORK 

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 

NORTH CAROLINA 

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 

NORTH DAKOTA 

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 

OHIO 

Metropolitan Statistical 

Area 

Area actually reporting 
Estimated totals 

Other Cities 

Area actually reporting 
Estimated totals 

Rural 

Area actually reporting 
Estimated totals 

Stale lolal 

Rale per 100.000 
inhabitants 

Sec footnulcs at end of tabic 



745.853 




71.4% 


48.577 


100.0% 


59.425 


491.271 




86.7% 


27.423 


100.0% 


31.628 


290.876 




61.6% 


5.789 


100.0% 


9.395 


,528.000 


100,448 



6,573.8 



6.378.081 




99.6% 


1.078,151 


100.0% 


1.080,659 


684.025 




97.9% 


27.198 


100.0% 


27.782 


887,894 




100.0% 


21.197 


7,950,000 


1,129,638 



6.293.2 



3.640.536 




99.2% 


232.455 


100.0% 


234.651 


942.631 




93.6% 


62.740 


100.0% 


67.015 


1.987.833 




98.4% 


42.848 


100.0% 


43,559 


6,571,000 


345,225 



5.253,8 



253,503 




100,0% 


10.035 


131.389 




97.5% 


4.225 


100.0% 


4,334 


275.108 




97.5% 


2,470 


100.0% 


2,533 


660,000 


16,902 



2.560.9 



8,593.961 




88,0% 


419.924 


100.0% 


454.009 


875.243 




80.2% 


33.069 


100.0% 


41,210 


1.437.796 




77.8% 


16.356 


100.0% 


21.033 


10,907,000 


516,252 



5.259 
5.946 

2.748 
3.169 

1,011 

1,640 

10,755 

703.9 



199.205 
199.388 



4.733.2 



1.845 
1.885 



1.769 
203,042 



1.131.2 



24.404 
24.616 

6.834 
7.300 

3,920 

3.986 

35,902 

546.4 



246 

69 
70 

99 
101 
417 

63.2 



44,408 
47.070 

2,031 
2,531 

1.173 

1.508 

51,109 

468.6 



43.318 
53,479 

24.675 
28.459 

4.778 

7.755 

89,693 

5.870.0 



878,946 
881,271 

25,353 
25.897 

19.428 
926,596 

5.162.1 



208.051 
210.035 

55.906 
59,715 

38,928 

39,573 

309,323 

4.707.4 



9.789 

4.156 
4.264 

2,371 
2.432 
16,485 

2.497.7 



375.516 
406.939 

31.038 
38.679 

15.183 

19,525 

465,143 

4,264.6 



50 
65 

29 
33 

21 

34 

132 

8.6 



2.192 
2,193 



41 
2,246 



12.5 



323 
325 

91 

97 

159 
162 
584 

8.9 



577 
598 



28 
652 



60 



248 
352 

179 
206 

89 
144 
702 

45.9 



4,990 
4.999 



118 
121 



122 
5,242 



29.2 



1,389 
1,400 

253 
270 

289 

294 

1,964 

29.9 



14 
14 
78 

11.8 



4.160 
4.385 

227 
28.1 

159 

204 

4,872 

44.7 



1.134 
1.241 

227 
262 

64 

104 

1,607 

105.2 



103,584 
103.638 



260 
266 



79 
103,983 



579.3 



6.799 
6.854 

1,418 

1,515 

394 

401 

8,770 

133.5 



61 

9.2 



17.451 
18,066 

363 

452 

91 

117 

18.635 

170.9 



3.827 
4.288 

2.313 
2,668 

837 
1.358 
8,314 

544.1 



88.439 
88.558 



1.455 
1.486 



1,527 
91,571 



510.1 



15.893 
16.037 

5,072 
5,418 

3,078 

3,129 

24,584 

374. 1 



137 

51 
52 

83 

85 

274 



22.220 
24,021 

1,420 
1,770 

901 

1 . 1 59 

26,950 

247.1 



12.433 
15.889 

6.108 

7.045 

1.979 

3.212 

26,146 

1.711,1 



198.799 
199.277 

4.703 
4.804 

7.049 
211.130 

1.176.2 



63.239 
63,760 

15,672 
16,740 

17.994 
18,292 
98,792 

1.503.5 



1.244 

398 
408 

699 

717 

2,369 

358.9 



90.660 
97,009 

6.102 
7.604 

5.011 

6.444 

111,057 

1.018.2 



28.014 
34.108 

17,508 
20,193 

2.403 

3,900 

58,201 

3.809.0 



510.927 
512.536 

19.852 
20.278 

11,645 
544,459 

3.033.2 



131.844 
133.194 

37.524 
40,080 

18.207 

18.509 

191,783 

2.918.6 



8.124 

3.558 
3.651 

1,555 

1.595 

13,370 

2.025.8 



242.437 
265.125 

23.629 
29.446 

9.361 

12.038 

306.609 

2.811.1 



2.871 
3.482 

1,059 
1.22! 

396 

643 

5,346 

349.9 



169.220 
169,458 



798 
815 



734 
171.007 



952,7 



12.968 
13.081 

2.710 

2.895 

2.727 
2.772 
18,748 

285,3 



421 

200 
205 

117 
120 
746 

1 I 3.0 



42,419 
44.805 

1 .307 
1.629 

811 

1,043 

47,477 

435,3 



64 



liibic 5.— Indc\ of Crime. Slale, 1989 — C'onlinucd 



OKLAHOMA 

Mclropolitan Statistical 

■\rca 

Area actually reporting 
Other Cities 

Area aclualU reporting 

Estimated totals 

Rural 

Area actually reporting 
Slale Total 

Rate per l(K).000 
inhahitanls 



OREGON 

Metropolitan Statistical 

Area 

Area actualK reporting 
Estimated totals 

Other Cities 

Area actualK reporting 
Estimated totals 

Rural 

Area actually reporting 

Stale Total 

Rate per 1(X).000 
inhabitants 



PENNSYLVANIA 

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 



Pt'ERTO RICO 

Metropolitan Statistical 

Area 

Area actually reporting 

Other Cities 

Area actually reporting 

Total 

Rate per 100.000 
inhabitants 



RHODE ISLAND 

Vlclropolitan Statistical 

■\rea 

Area actually reporting 

Estimated totals 

Other Cities 

.Area actually reporting 
Rural 

.Area actually reporting 
Slate Total 

Rate per 100.000 

inhabitants 

Sec foolnoles at end of lable- 



t'opuljhon 



1.894.4.14 
lOO.O'tt. 
692,171 
99.8% 
100.0% 
6.17. .t95 
100.0'K. 
3.224,000 



1,909. .W.I 




99.9% 


1 .10.898 


100.0% 


131,021 


422.922 




98.9% 


29,217 


100.0% 


29,528 


487,68? 




100.0% 


1.1.195 


2.820,000 


173.744 



10,202,7.11 

99.3% 

100.0% 

772,217 

97.1% 

100.0% 

1 ,065,052 

100.0% 

12.040.000 



2,672,051 
100.0% 
685.139 
100.0%. 

3.358.000 



935.723 

99.4% 

1 00.0% 

62.277 

100.0% 



100.0%. 
998.000 



I rmic 
liulev 
loLiI 



131,304 



34.241 
34,319 



11,782 
177.405 



5,502.6 



6,161,1 



368,001 
369,945 



18,613 
19,168 



15,481 
404.594 



3,360.4 



98,108 



1 1,919 
110.027 



3,277.0 



48,331 
48,510 



3,611 



23 
52.144 



5,224.8 



Moiiilicd 
triilic 
Imk-v 
tixar 



Vi.ik-nl 
crime 



12,393 



2,593 
2,599 



855 
15.847 



491.5 



12.182 
12,188 



1,392 
1,407 



1,030 
14,625 



518,6 



42,740 
42,906 



1,638 
1,686 



994 
45,586 



378.6 



19,569 



2,284 
21.853 



650.9 



3.529 
3,538 



3.772 
378.0 



I'rv.pcrty 



3 1 ,648 
31,720 



10,927 
161.558 



5.011.1 



118,716 
118.833 

27.825 
28,121 

12,165 
159.119 

5,642.5 



325,261 
327,039 



16,975 
17,482 



14,487 
359.008 



2.981,8 



78.539 

9,635 
88.174 

2,626.1 



44,802 
44,972 

3,382 

18 
48,372 

4,846,9 



Mlitdor 
and non- 
ncgliKcnl 

man. 
slaughlci 



39 

210 



6.5 



27 
134 



4.8 



720 
721 



20 
753 



6.3 



425 



42 
467 



13.9 



49 

4.9 



rorcibk- 
rape 



995 



73 
1,209 



37.5 



927 
928 



149 
151 



235 
1,314 



46.6 



2,661 
2,672 



114 
117 



174 
2.963 



421 



88 
509 



15.2 



249 
250 



1 
266 



26.7 



Robbery 



3,675 



337 
338 



57 
4,070 



126.2 



3,927 
3,929 



264 
267 



4.282 

151.8 



17,752 
17,788 



142 
146 



91 
18,025 



149.7 



12,691 

539 
13,230 

394.0 



1.070 
1,072 



50 



1,122 

112,4 



Agfira- 
valcd 
assault 



7,591 



2,076 
2,081 



6S6 
10.358 



321.3 



7,238 
7,241 

962 
972 

682 
8,895 

315.4 



21,607 
21,725 



1,370 
1,411 



709 
23.845 



198.0 



6,032 



1,615 
7.647 



227.1 



2.163 
2.169 



4 
2.335 

234.0 



Burglar> 



36,470 

9,138 
9,159 

4,782 
50.411 

1,563.6 



29,884 
29,909 



5.922 
5,985 



4.303 
40,197 



1,425.4 



75,578 
75,920 



3,312 
3,411 



6,594 
85,925 



713.7 



28,982 



4,739 
33,721 



1,004.3 



11,219 
11,264 



776 

5 
12,045 



1,206.9 



l.arccny- 
Ihcft 



66,363 

20,477 
20.523 

5,384 
92,270 

2,862.0 



76,095 
76,178 



20.332 
20.548 



6,964 
103,690 



3,677.0 



195,388 
196,624 

12,720 
13,100 

6,842 
216,566 

1,798.7 



33,757 



4,222 
37,979 



1.131.1 



24,671 
24,773 



2,318 



13 
27,104 



2,715.8 



Motor 
vehicle 
Ihcfl 



16,078 

2,033 
2,038 

761 
18,877 

585.5 



12.737 
12.746 

1,571 
1,588 

898 
15,232 

540.1 



54,295 
54,495 

943 
971 

1,051 
56,517 

469.4 



15,800 



674 
16,474 



490,7 



8,912 
8,935 



288 



9,223 

924,1 



65 



lable 5. — Index of Crime. State, 1989 — Continued 



Population 



( rime 
Index 
total 



Modified 
Crime 
Index 

total' 



Violent 
crime' 



Property 
crime' 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



SOI IH CAROLINA 

Metropolitan Statistical 

A rea 

Area actually reporting 
Estimated totals 

Other Cities 

Area actually reporting 
Estimated totals , 

Rural 

'Xrea actually reporting 

State Total 

Rate per 100.000 
inhabitants 

SOI IH DAKOIA 

Metropolitan Statistical 

Area 

Area actually reporting 

Other Cities 

Area actually reporting 
Eslimaled 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 

Stale lolal 

Rate per 100,000 
inhabitants 

lEXAS 

Metropolitan Statistical 

A rea 

Area actually reporting 
Estimated totals 

Other Cities 

Area actually reporting 
Estimated totals 

Rural 

Area actually reporting 
Estimated totals 

Stale Tolal 

Rate per 100.000 
inhabitants 

UTAH 

Metropolitan Statistical 

Area 

Area actually reporting 

Other Cities 

Area actually reporting 
Estimated totals 

Rural 

Area actually reporting 
Estimated totals 

Slate lolal 

Rate per 100.000 
inhabitants 

See tootnotcs at end of tabic. 



,126,586 




99.9% 


131,291 


100.0% 


131,371 


435,571 




98.7% 


30,695 


100.0% 


31,112 


949,843 




100 0"/.. 


34,865 


(.512,1X10 


197,.348 



208.053 




100,0% 


9,060 


168,337 




79,5% 


5,527 


100,0% 


6,951 


338.610 




51,2% 


1,631 


1 ()0,0"/(i 


3, 1 88 


715.000 


19.199 



2,685.2 



3.286.457 




90.3'!'(i 


174.978 


100,0"/.. 


184.679 


577.599 




86,4% 


20,628 


100.0% 


23.881 


1,075.944 




58.5"/.. 


8,429 


100.07., 


14.412 


4.940.000 


222,972 



1 3,806,982 

99.9% 

100.0"/.) 

1.446.330 

99 9% 

100.0"/.. 

1,737,688 

99,57.. 

1 00,07.. 

16.991.000 



4,513.6 



1,229,277 
1.229,394 

79.404 
79.451 

37.819 

38,021 

I, .346,866 

7,926.9 



1,321,090 




100.0% 


84.182 


193.865 




96,0"/.. 


8,738 


100,0% 


9,099 


192,045 




97,8"/.. 


3,634 


100.(«, 


3,713 


1,707.000 


96.994 



18,004 
18,014 



4,840 
4,906 



5,656 
28,576 



^13.7 



156 
195 

86 
168 
969 



22.615 
23,476 

1,860 
2,153 

871 

1,489 

27,118 

548.9 



101,275 
101,285 

7,408 
7.412 

3.175 

3,192 

111.889 

65X 5 



5,682.1 



414 
431 

172 

175 

4,417 

258,8 



113,287 
113.357 



25.855 
26.206 



29,209 
168.772 



4,805,6 



8.454 

5.371 
6,756 

1.545 
3,020 
18,230 

2.549,7 



152.363 
161,203 

18,768 
21,728 

7,558 
12,923 
195.854 

3.964,7 



1.128,002 
1,128,109 

71,996 
72,039 

34.644 

34,829 

1,2.14.977 

7.268.4 



80,371 

8,324 
8.668 

3,462 
3,538 

92.577 

5,423,4 



181 
181 



95 
320 



9.1 



1.3 



314 
327 

26 
30 

35 

60 

417 

8.4 



1,796 
1,796 

104 
104 

128 

129 

2,029 

1 1.9 



39 



1 .050 
1,051 



199 
202 



379 
1,632 



46.5 



23 
229 



32.0 



1,954 
2,041 

100 
116 

66 

113 

2.270 

46,0 



7.312 
7,313 

423 
423 

214 

215 

7,951 

46.8 



49 

51 

16 

16 

489 

28.6 



3,376 
3,378 



669 
678 



518 
4,574 



130.; 



63 

9 
1 1 

5 

10 
84 

11.7 



7,403 
7.553 

216 
250 

72 

123 

7,926 

160.4 



36.856 
36.858 

844 
844 

210 

211 

37.913 

223.1 



863 



12 

12 

898 

52.6 



13,397 
1 3.404 



3,929 
3,982 



4.664 
22.050 



627.1 



378 

110 
138 

67 
131 
647 

90.5 



12.944 
13.555 

1.518 
1.757 

698 

1.193 

16,505 

334 1 



55.311 
55,318 

6,037 
6,041 

2,623 

2,637 

63,996 

376.6 



2,487 

343 
357 

138 

141 

2,985 

174 9 



31.197 
31,214 



6,911 
7,005 



10,695 
48,914 



1,392.8 



806 
1.014 

478 

934 

3,394 

474.7 



45,044 
47,900 

5.128 
5.937 

3.383 

5.784 

59,621 

1,206 9 



307,192 
307,227 

19,460 
19,464 

15,572 

15,655 

342,.346 

2,014.9 



13,226 

1,238 
1,289 

779 

796 

15,311 

897 () 



73,500 
73.549 



17.659 
17,899 



16,397 
107.845 



3.070,8 



6,641 

4,356 
5,479 

991 

1,937 

14,057 

1,966.0 



84.571 
89.787 

12,162 
14,080 

3.533 

6.041 

109.908 

2,224.9 



675.156 

675,230 

49,281 
49,318 

1 7,02 1 

17.112 

741,660 

4,365.0 



63.555 

6.809 
7.091 

2,509 

2,564 

7,3,210 

4,288.8 



8,590 
8,594 

1,285 
1,302 

2,117 
12.013 

342.1 



367 

209 
263 

76 
149 
779 

109.0 



22.748 
23.516 

1,478 
1.711 

642 

1.098 

26,325 

532.9 



145.644 

145.652 

3,255 
3,257 

2,051 

2.062 

150,971 

888.5 



3.590 

277 
288 

174 

178 

4,056 

237.6 



66 



Table 5.— Index of Crime, State, 1989— Continued 



VKRMONI 

Mclropolilan Statistical 
Area 

Area actually reporting 

Estimated totals 

Other Cities 

Area actually reporting 
Rural 

Area actually reponing 
Stale Total 

Rate per UW.OOO 
inhabitants 



VIRGINIA 

Metropolitan Statistical 
Area 

Area actually reponing 
Other Cities 

Area actually reponing 
Rural 

Area actually reponing 
Stale lotal 

Rate per 100.000 
inhabitants 



WASHINGTON 

Metropolitan Statistical 

Area 

Area actually reponing 
Estimated totals 

Other Cities 

Area actually reponing 
Estimated totals 

Rural 

Area actually reponing 
Estimated totals 

State Total 

Rate per 100.000 
inhabitants 



WEST VIRGINIA 

Metropolitan Statistical 
.Area 

Area actually reporting 
Other Cities 

Area actually reponing 
Rural 

Area actually reponing 
State Total 

Rate per lOO.OOO 
inhabitants 



WISCONSIN 

Metropolitan Statistical 
Area 

Area actually reponing 
Other Cities 

Area actually reponing 

Estimated totals 

Rural 

.Area actually reporting 
Stale Total 

Rate per 100.000 

inhabitants 

See foulnom at end of table. 



Crime 
index 
lolal 



108.22.1 




85.0% 


6.295 


100.0% 


7.411 


202.04.1 




100.0% 


9,006 


256.7.14 




100.0% 


6.765 


567.000 


23,182 



676.770 
100.0% 

310,71.1 
100-0% 

869.517 

100.0% 

1,857,000 



4.088.5 



4.401.146 




100.0% 


219,091 


456.742 




100.0% 


17.255 


1,2.19.912 




100.0% 


20.468 


6,098,000 


256,814 



Modified 
Crime 
Index 
total' 



4.211.4 



3.885.961 




98.2% 


265.565 


100.0% 


271,235 


374.985 




90.1% 


25,271 


100.0% 


28.048 


500.054 




95.0% 


13.913 


100.0% 


14.649 


4,761.000 


313,932 



6,593.8 



22.838 



9.950 



11.090 
43,878 



2,362.1 



3.246.993 




100.0% 


160.263 


568,824 




99.7% 


25.314 


100.0% 


25.378 


1.051.183 




100.0% 


17.062 


4,867,000 


202,703 



4.164.8 



Violent 
erinlc- 



Propert> 
crime' 



Murder 
and non- 
negligent 

man- 
slaughter 



178 
210 



297 



246 
753 



132,8 



16,415 
1,045 



1,597 
19.057 



312.5 



19.880 
20.113 

1.352 
1.501 

803 

846 

22,460 

471.7 



1,420 
482 



822 
2.724 



146.7 



8,997 

1,012 
1.014 

823 
10,834 

222.6 



6.117 
7.201 



8.709 



6,519 
22,429 



3.955.7 



202.676 
16.210 



18.871 

237.757 



3.898.9 



245.685 
251,122 

23.919 
26.547 

13.110 

13.803 

291,472 

6.122.1 



21,418 
9,468 



10,268 
41.154 



2.216.2 



151.266 



24.302 
24.364 



16.239 
191.869 



3.942.2 



1.9 



371 
24 



85 
480 



7.9 



187 
188 

4 
4 

16 

17 

209 



Korcible 
rape 



40 
131 



23.1 



1.372 

88 

178 
1,638 

26.9 



2.495 
2.533 

210 
233 

163 

172 

2,938 

61.7 



177 



22 


47 


56 


123 


121 


347 


6.5 


18.7 


155 


846 


-> 


75 


2 


75 


19 


72 


176 


993 


3.6 


20.4 



Aggra- 
vated 
assault 



16 
102 



18.0 



6.141 
181 



17 
6,494 



106.5 



6.288 
6.352 

223 
248 

68 

72 

6,672 

140.1 



530 
163 



100 
793 



42.7 



104 

219 



186 
509 



Burglars 



34 
3,659 



75.2 



8.53 
752 



1.16 
10,445 



171.3 



10.910 
11.040 

915 
1.016 

556 

585 

12,641 

265.5 



670 

250 

543 
1,463 

78.8 



4.444 

862 
864 

698 
6,006 

123.4 



L.arccny- 
Ihefl 



1.465 
1.725 

1,739 

2.371 
5,835 

1.029.1 



37,567 
2,813 



5,776 
46,156 



756.9 



61,985 
63,027 

4,940 
5.483 

4,799 

5.053 

73,563 

1,545.1 



5.658 
2,016 



3,961 
11,635 



626.5 



Motor 
vetiicle 
lliefl 



733.2 



4,359 
5.131 



6.5.10 



3.805 
15,466 



2,727.7 



148,216 
12.598 



11.831 
172,645 



2.831.2 



164.281 
168.321 

17.902 
19.869 

7.534 

7.932 

196,122 

4.119.3 



14.280 
7.022 



5.306 
26.608 



1.432.8 



109.828 



2.973 


20.423 


2,981 


20.475 


5.466 


9.737 


35,683 


140,040 



2.877.3 



293 
345 



343 
1,128 

198.9 



16.893 

799 

1,264 
18,956 

310.9 



19.419 
19.774 

1.077 
1.195 

777 

818 

21,787 

457.6 



1.480 
430 



1.001 
2,911 



156.8 



14.202 

906 
908 

1.036 
16,146 

331.7 



67 



Table 5. — Index of Crime, State, 1989 — Continued 



Area 


Popuialioii 


< rime 
Index 
loldl 


Modined 
rnme 
Index 

lotaP 


Violent 
crime- 


Property 
crime' 


Murder 
and non- 
ncghgenl 

man- 
slaughter 


Forcible 
rape 


Robber>' 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
ihcfl 


Arson' 


WYOMING 

Metropolitan Statistical 
Area 


138.643 
100.0"<. 

217,683 
99.7% 
100.0% 

118,674 
100.0% 

475,000 


6.721 

9,239 
9,266 

2,486 
18,473 

3,889.1 




417 

521 

522 

288 
1,227 

258.3 


6,304 

8,718 
8,744 

2,198 
17,246 

3,630.7 


3 

I 

9 
21 

4.4 


46 
62 

62 

26 
134 

28.2 


44 

30 
30 

7 
81 

17.1 


324 

420 
421 

246 
991 

208.6 


1,170 

1,273 

1,277 

554 
3,001 

631.8 


4,894 

7,148 
7,169 

1,530 
13,593 

2,861.7 


240 

297 
298 

114 
652 

137.3 




Area actually reporting 

Other Cities 


Area actually reporting 

Estimated totals 

Rural 


Area actually reporting 

State Total 


Rale per 100,000 









'Although arson data were included in the trend and clearance tables, sufficient data are not available to estimate totals for this offense. 

^Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault 

'Property crimes are offenses of burglary, larceny-theft, and motor vehicle theft. Data are not included for the property crime of arson. 

*Includes offenses reported by the Zoological Police. 

^Forcible rape figures furnished by the state-level Uniform Crime Reporting (UCR) Program administered by the Illinois Department of State Police were not m accordance with national UC 
guidelines. The 1989 forcible rape totals for Illinois were estimated usmg the national rate of forcible rapes when grouped by like agencies. Therefore, only the state total is shown. See "OfTen 
Estimation." page 3 for details. 



68 



I able 6. — Nomber of Oflenses Known to the Police, Cities and Towns 10,000 and over in Population, 1989 

• \rson IS sho%Mi onl> if 12 months of areon data were received Leaders (.,.) indicate rem data. The Modified Cnmc Index total is the sum of the Crime Index 
oilcnses. including anon- 



City by State 



Population 



Crime 
Index 
total 



Modified* 
Crime 
Index 
total 



Murder 
and non- 
neghgcnt 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



ALABAMA 

Alabaster 

Albertville 

Alexander City 

Andalusia 

Annislon 

Athens 

Auburn 

Bessemer 

Birmingham 

CuUman 

Decatur 

Dothan 

Enterprise 

Eufaula 

Fairfleld 

Florence 

Gadsden 

Hartselle 

Homewood 

Hoover 

Hueytown 

HuntsviUe 

Jasper 

Mobile 

Montgomery 

Mountain Brook 

Northport 

Opeiika 

Ozark 

Phenix City 

Prattville 

Prichard 

Saraland 

Scottslx>ro 

Selma 

Sheffield 

Talladega 

Tuscaloosa 

Tuskegee 

Vestavia Hills 

ALASKA 

Anchorage 

Fairbanks 

Juneau 

ARIZONA 

Apache Junction 

Bullhead City 

Casa Grande 

Chandler 

Douglas 

FlagstaJT 

Gilben 

Glendale 

Kingman 



1 3.203 
14,668 
14.508 
11.126 

29,226 
16,063 

29,125 

37,653 

278,011 

12,320 
46,151 
53,997 
19,955 
12,922 

12,842 
34,965 
45,038 
10,013 
21,300 

32,978 
16,564 

159,553 
12,621 

209,507 

194,146 
20,828 
17,247 
24,741 
15,561 

28,032 
21,109 
38,747 
10,715 
13,795 

25,423 
10,525 
19,243 
74,344 
12,802 

17,728 



223,363 
69,337 
26,390 



17,835 
20,557 
17,722 
82,677 

14,796 
44,031 
19,558 
142,931 
11,737 



193 
209 
852 
646 

3.914 

598 

2,377 

3.297 

26,348 

573 
3,101 
5,559 
1,406 

549 

1,555 
1,935 
3,623 
383 
2,059 

1,609 

524 
13,961 

858 
21,686 

12,458 

357 

1,072 

1,985 

833 

2,252 

1,235 

2,996 

692 

589 

2,894 

511 

935 

6,391 

1,530 

384 



12,216 
2,257 
1,060 



991 
1,928 
2,238 
5,921 

1,200 
3,758 
1,310 
14,666 
1,720 



193 



3,94 1 
603 



26,591 

574 



1,560 

2,059 

1,611 

14,029 

21,718 

12,519 

357 

1,077 

2,002 

2,259 

589 
515 

384 



12,255 
2,262 
1,060 



1,001 
1,936 
2,258 
6,265 

1,225 
3,787 
1,321 
14,774 
1,725 



13 



1 

9 
100 



I 

3 
10 
4 

29 
7 
9 

21 
258 

3 

14 
19 

7 
1 

13 
16 
29 
1 
10 

4 

1 

85 

6 

133 

82 



139 
18 

5 



5 
5 

7 
4 

200 
16 
20 

172 
1,766 

2 
55 
84 
14 

6 

113 
26 
87 
4 
85 

39 
25 

234 
13 

847 

297 

3 

28 

55 

10 

62 

16 

112 

8 

7 

53 

4 

23 

147 

31 



272 
39 

2 



6 

35 
37 
64 

2 
59 

4 

239 

14 



30 
25 
131 
161 

529 
52 
84 

297 
1,896 

31 

107 

527 

97 

64 

130 
162 
430 
9 
158 

52 

39 

517 

122 

2,533 

281 

8 

59 

165 

121 

265 

139 

405 

18 

40 

432 
20 
162 
486 
223 

8 



709 

171 

18 



63 

79 

195 

146 

39 
142 

35 
695 

61 



45 

30 

148 

103 

1,054 
120 
485 
863 

6,529 

89 

705 

1,068 

320 

103 

252 
387 
644 
107 

372 

348 
120 

2,188 
132 

6,429 

3.119 

95 

233 

389 

93 

435 

243 

1.053 

143 

89 

715 
108 
217 
1.330 
495 

98 



1.708 
350 
114 



192 

479 

460 

1.130 

277 
488 
406 
3,448 
338 



105 
115 
527 
353 

1,900 

368 

1,735 

1,626 

12,100 

412 

2,088 

3,706 

926 

360 

827 
1,257 
2,203 

238 
1,245 

1,017 

295 

10,229 

505 

10,613 

7,900 
235 
724 

1,307 
555 

1,357 
790 

1,217 
501 
417 

1,619 
368 
475 

4,091 
707 

242 



8,219 

1,501 

859 



667 
1,138 
1,433 
4,121 

779 
2,899 

790 
8,840 
1,231 



7 
30 
27 
21 

189 

35 

43 

309 

3,699 

36 

128 

146 

41 

14 

218 
87 

225 
23 

187 

147 

44 

696 

79 

1,091 

746 
15 
25 
49 
45 

111 
39 

168 
19 
32 

54 

8 

46 

293 

67 

27 



1,158 
177 
61 



56 
193 
106 
426 

100 
152 

72 
1,367 

69 



69 



Table 6.— Number of Offenses Known to the Police, Cities and Tonus 10,000 and over in Population, 1989 — Continued 



City by State 


Population 


Crime 
Index 
total 


Modified* 
Crime 
Index 
total 


Murder 
and non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


Arson" 


ARIZONA— Continued 


20,098 

285,883 

18,926 

39,432 

941,948 

23,943 
124,138 

33,874 
143,207 

52,005 

18,617 
10,700 
22,937 
16,798 

25,499 
25,539 
40,920 
13,533 
74,949 

11,453 
10,087 
37,695 
29,447 
42.237 

180,932 
11,654 
10,017 
62,702 
15,964 

61,516 
23,047 
20,274 
14,327 
15,934 

27,116 
10,268 
22,565 
13,955 
10,398 

28.081 

18,805 
77,067 
16.167 
74,142 

251,146 

57,462 
32,806 
49,301 
14,874 

14,463 
1 5.407 
22,705 
21,977 


1,096 

19,074 

1,381 

2,599 

102,359 

1,729 

7,804 

1,377 

12,868 

4,787 

843 

521 

2,161 

1,133 

1,818 
1,361 
2,403 
1,739 
5,736 

317 

581 

3,975 

1,792 

2,778 

24,873 

159 

432 

7,574 

654 

4,368 

1,177 

1,434 

867 

549 

1,421 

594 

3,306 

751 
377 

2,852 

567 
4,300 

800 
4,419 

18.263 
3,992 

2,282 

2,531 

821 

660 
646 

845 
1,105 


1,099 

19,222 

1,381 

2,606 

103,016 

1,752 
7,839 
1,381 
12,942 
4,850 

846 

521 

2,170 

1,133 

1,818 
1,375 
2,406 

1,753 
5,779 

317 

585 

3,984 

1,800 

2,780 

24,989 

159 

440 

7,585 

656 

4,423 

1,181 

1,444 

869 

551 

1,426 

594 

3.315 

752 
377 

2,861 

575 
4,321 

802 
4,445 

18,344 

4,128 

2,292 

2,542 

833 

664 
650 

859 
l.lll 


2 
10 

1 

1 

126 

2 
3 


7 
85 


3 

213 

12 

21 

2,615 

14 

105 

7 

198 

52 

7 

2 

44 

18 

17 
43 
17 

32 
79 


62 
1,092 

28 

142 

5,341 

127 
136 
16 
368 
450 

32 

4 

216 

187 

24 

66 

84 

216 

468 

17 
40 
144 
131 
45 

2,257 


205 

3,840 

412 

641 

23,013 

268 
1,537 

152 
1,911 

812 

167 
103 
468 
178 

384 
413 
444 
351 
1,283 

49 
160 
981 
274 
690 

6,007 

107 

80 

1,747 
117 

1,269 

246 

340 

115 

65 

284 
134 
685 
225 
105 

737 

166 
786 
165 

971 

4,467 
696 
682 
511 
159 

117 
166 
220 
327 


737 
11,999 

747 

1,657 

58,160 

1,248 
5,449 
1,147 
8,966 
3,137 

551 

375 

1,339 

697 

1,292 
761 
1,659 
1,085 
3,519 

222 

338 

2,539 

1,285 

1,839 

13,430 

43 

289 

4,710 

460 

2,042 
861 
925 
677 
450 

957 
375 
2,256 
456 
222 

1,423 

279 
2,835 

405 
2,071 

9,128 
2,278 

998 
1,469 

575 

476 
204 
510 
589 


80 

1,835 

181 

130 

12,705 

68 

558 

52 

1,355 

305 

78 
36 
81 

44 

94 
63 

171 
40 

340 

27 
22 

179 
67 

128 

1,722 

1 

27 

396 

35 

296 

43 
70 
55 
24 

127 
15 

119 
38 
43 

236 

61 
341 
109 
868 

3,017 

307 

260 

327 

39 

30 

105 

35 

48 


3 




148 








7 
399 

2 
16 

3 
66 

27 

8 
1 
9 
8 

6 
13 
26 

12 
42 

2 

3 

28 

12 

23 

237 


7 




657 


Prescott 


23 


Scottsdale 


35 


Sieira Vista 


4 




4 

4 


74 




63 


ARKANSAS 


3 








Blytheville 


4 

1 

1 
2 
2 
3 

5 


9 










El Dorado 


14 




3 




14 


Fort Smith 


43 






Hope 




18 
102 

22 
47 

1,172 

7 
16 

224 

1 

166 
8 
10 

1 
3 

6 

6 

102 

5 
4 

209 

8 

127 

45 

220 

755 
80 
45 

102 

7 

10 

57 
9 
9 


4 




2 

1 
6 

48 

1 
3 
7 
1 

9 


9 




8 




2 




116 








2 

72 

2 

54 
10 

4 

1 
1 

4 
4 
18 
2 


15 

418 

38 

532 

9 

85 

18 

6 

43 
60 

122 

25 
2 

204 

51 
196 

74 
266 

756 
612 
282 

no 

35 
24 

no 

63 

127 


8 


North Little Rock 


11 


Paragould 


2 


Pine Bluff 


55 




4 






10 






2 






2 






5 


Stuttsart 








4 


9 




1 




1 
10 






33 

1 
15 

2 
17 

113 
14 
13 
12 
4 

3 
4 
8 

4 


9 


CALIFORNIA 


8 




21 






2 


Alhambra 


6 

27 
5 
2 


26 




81 




136 


Apple Valley 


10 




11 




2 


12 




4 






4 






14 




1 


6 



70 



Table 6. — Number of Oflenses known to the Police, Cities and I'owns 10,000 and over in Population, 1989 — Continued 



Cily bs Stale 



Population 



Crime 
Index 
tola! 



Modified* 
Crime 
Index 
total 



Murder 
and non- 
negligenl 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



CALIFORNIA— Continued 

Azusa 

Bakersfield 

Baldwin Park 

Banning 

Barslow 

Bell 

Bell Gardens 

Belinower 

Belmont 

Benicia 

Berkeley 

Beverly Hills 

Brawley 

Brea 

Buena Park 

Burbank 

Burlingame 

Calexico 

Camarillo 

Campbell 

Capilola 

Carlsbad 

Carpinteria 

Carson 

Cathedral City 

Ceres 

Cerrilos 

Chico 

Chino 

Chula Vista 

Claremont 

Cleariake 

Clovis 

Coachella 

Colton 

Commerce 

Compton 

Concord 

Corona 

Coronado 

Costa Mesa 

Covina 

Cudahy 

Culver City 

Cupertino 

Cypress 

Daly Cily 

Dana Point 

Danville 

Davis 

Delano 

Desert Hot Springs 

Dinuba 

Dixon 

Downey 

Duarte 



39.611 

161,823 
67.008 
19.031 
21.546 
30,065 

39.242 
61.824 
25.364 
24.245 
106.404 

34,961 

19.267 
33.945 
68.414 
94.394 

27.222 
19.913 
48.347 
34.777 
10,419 

62.409 
12.554 
91.746 
26,390 
19,811 

60,069 
35,926 
59,710 
129,581 
36,809 

11,199 
46,489 
14,525 
36,050 
12,030 

97,576 
110,900 
56,877 
23,681 
93,111 

43,810 
22,090 
41,131 
39.765 
44.446 

88.081 
10,883 
30.322 
43.142 
21.217 

10,737 
12.123 
11.065 
88.810 
21.823 



2,602 

14.929 
2.827 
1,557 
1,831 
1,605 

2,273 

3,998 

703 

785 

13.187 

2,341 

1,394 
1,856 
4,471 

3,772 

1,482 
1,491 
1,074 
2,049 
1,215 

3,679 
544 
4,808 
1,508 
1,854 

3,552 
3,348 
3,125 
10,220 
1,680 

1,043 

3,033 

893 

3.071 

2,409 

8,-344 
7,345 
6,082 
914 
8,244 

2.796 
755 
2.836 
1,671 
2,137 

3,386 
1,205 
683 
2,790 
1,593 

756 

695 

418 

4,962 

1,126 



2.616 

15.048 
2.859 
1.562 
1.842 
1.606 

2.275 

4.017 

704 

786 

13.263 

2.352 
1.402 
1,871 
4,506 
3,924 

1,487 
1,507 
1,093 
2,059 
1.218 

3.693 
551 

4.854 
1,511 
1,872 

3,568 
3,372 
3,161 
10,243 
1,681 

1,052 
3,058 
897 
3,079 
2,421 

8,390 
7,366 
6,117 
921 
8,262 

2,806 
755 
2,836 
1,709 
2,185 

3.395 
1,228 
684 
2,805 
1.610 

756 

703 

418 

4.991 

1.129 



20 

10 

34 

9 

5 
13 

3 
15 

4 

127 

39 

16 

8 

41 

6 
4 
8 
6 
10 

9 
5 
2 
5 
18 



128 

608 

243 

43 

46 

153 

214 

302 

12 

9 

476 

141 
31 
38 
130 
118 

16 
27 
34 
27 
13 

65 
13 

303 
30 
31 

142 
29 
57 

241 
64 

9 

32 

18 

100 

89 

1.192 

111 

136 

12 

165 

121 
67 

228 
20 
53 

139 

22 

9 

15 

47 

10 

8 

4 

270 

58 



108 

1.116 
269 

244 
93 
128 

291 

579 

54 

43 

593 

154 
131 
55 
202 
211 

65 
13 
55 
157 
63 

186 
39 
767 
197 
129 

244 
104 
206 
807 
58 

71 
104 

55 
254 
173 

1.449 

350 

320 

26 

461 

138 
70 
49 
86 
98 

207 
92 
15 

62 
101 

125 

80 

21 

276 

156 



704 

3,467 
1,203 

427 
413 
349 

643 
797 
130 
172 
2.788 

426 
340 
295 
942 
633 

175 
242 
221 
306 
136 

740 
95 
909 
370 
378 

611 
636 
776 
1.712 
433 

332 
633 
234 
850 
343 

2,038 
1,423 
1,664 
166 
1,464 

559 
117 
432 
269 
455 

290 
357 
165 
432 
352 

224 
153 
88 
899 
338 



1,260 

8,395 
425 
719 

1,114 
471 

726 

1,365 

446 

489 

7,739 

1,388 
824 
1,242 
2,146 
1,872 

1,060 
1,025 

679 
1,411 

962 

2,004 
362 

1,857 
694 

1,201 

1,792 
2,282 
1,694 
4,780 
943 

573 
1,983 

519 
1.342 
1,198 

1,974 
4,757 
2,829 
551 
5,124 

1,472 
293 
1,629 
1,193 
1,287 

2,179 
623 
458 

2,107 
960 

297 
430 
270 
2,282 
422 



385 

1,277 
663 
114 
153 
488 

385 

929 

58 

68 

1,523 

224 

63 

218 

1,040 

923 

157 
181 

76 
135 

34 

657 

30 

930 

208 

96 

750 
275 
377 
2.642 
170 

50 
266 

63 
507 
601 

1,478 
662 

1,116 
151 
987 

497 
203 
489 
97 
234 

559 
105 
34 
169 
113 

99 
22 
32 
1,211 
146 



71 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population. 1989 — Continued 



City by Slate 


Populalion 


Crime 
Index 
lolal 


Modified' 
Crime 
Index 
total 


Murder 
and non- 
negtigenl 

man- 
slaughter 


Forcible 
rape 


Robber> 


Aggra- 
vated 
assault 


Burglar.' 


Larccnv- 
ttieft 


Motor 
vehicle 
theft 


Arson* 


CALIFORNIA— Continued 


23.147 
19.462 
90.576 
30,763 
23,629 

97,640 
15,951 
97,915 
25.631 
75.189 

11.620 
24.245 
74.347 
29.449 
57.800 

170.999 
315.218 
112.645 
51.713 
138.891 

29,901 
165,477 
44,898 
10,809 
11,537 

27.602 
13,016 

66,443 

106,342 

31,687 

14,083 
19,636 
.16,101 
30.178 
11.681 

18.045 

191.826 

56.497 

34.017 

106,671 

102.780 
21.227 
23.465 
19.955 
50.051 

78.217 
53.1.30 
43.091 
78.402 
16.311 

35,731 
31,071 
27,674 
12,913 
57,616 

49,260 
13.652 


745 
1,853 
6.796 
3.149 
1.887 

7.482 
1.064 

7.756 
2.835 

5.722 

400 

692 

6.696 

867 
3.066 

6.299 
36.859 
7.386 
3,752 
9,716 

1.724 

9.227 

1.712 

414 

368 

1,712 
1 .023 
6,131 
7,392 
3.372 

296 
1.053 
2,351 
2.096 

127 

976 
9.545 
4.772 
4.661 
8.549 

4.321 

424 

506 

1.095 

2.325 

4.059 
3,530 
1,323 
5.707 

574 

2.317 
1.224 
1.674 
606 
2.824 

3,843 
853 


747 
1.874 
6.843 
3,167 
1,891 

7,535 
1,066 
7,793 
2,853 

5,747 

410 
694 

6,746 
872 

3,077 

6,440 
37,085 
7,407 
3,785 
9,793 

1,801 

9,270 

1,722 

417 

369 

1,716 
1.032 
6,204 
7.458 
3.380 

301 
1.056 
2.364 
2.106 

127 

980 
9.579 
4.794 
4.672 
8.664 

4.395 

437 

508 

1.109 

2.340 

4.071 
3,537 
1.336 
5.739 
580 

2.328 

1.231 

1.688 

618 

2.857 

3,857 
853 




1 
23 
34 
16 

4 

63 
4 
30 
14 
31 

2 

7 

74 

-) 

7 

36 

234 

36 

27 
42 

10 

54 

5 

5 

5 

11 
6 

54 

32 

8 

1 

6 
14 
20 


10 
165 
150 

56 
110 

592 
45 

155 
45 

124 

3 

6 

255 

7 

58 

98 

1.525 

201 

417 

349 

30 

271 

47 

14 

7 

35 
64 

504 

256 

56 

9 
27 
48 
83 

1 

10 

150 

362 

129 

1,121 

37 
14 
11 
14 

71 

192 
104 

44 
176 

21 

226 
33 

116 
10 
14 

41 
26 


28 
392 
398 
103 

45 

1,105 
36 

512 
69 

451 

58 
31 
575 
53 
59 

569 

2.488 
314 
237 
457 

170 

271 

99 

17 

31 

137 
214 

458 
520 
301 

20 

81 

76 

201 

8 

132 
418 
490 
543 
903 

141 
22 
10 
93 
90 

362 

94 

143 

805 

13 

430 

62 
292 

24 
207 

173 
62 


150 
343 
1.258 
770 
313 

1.737 
196 

1.623 
603 
999 

110 
2.36 
1.504 
140 
528 

1.330 
8.095 
1.271 
850 
2.113 

357 
1.877 
415 
143 
161 

268 

202 

1.193 

1.633 

738 

85 
316 
681 
731 

37 

218 

2.247 

724 

802 

1,672 

890 
138 
137 
309 
456 

588 
783 
305 
1.355 
171 

473 
287 
453 

157 
606 

698 
295 


491 

500 

3,355 

2,006 

1,211 

2.610 
612 
4.182 
1.931 
3,619 

206 
373 

3.182 
620 

1.988 

3.665 
18.654 
4.501 
1.480 
4.979 

1.021 

5,075 

977 

180 

139 

1.166 
423 
2.580 
4.221 
1,923 

128 

496 

1.119 

801 

79 

569 
5.562 
1.506 
2.711 
2.587 

2.711 
212 
320 
551 

1.410 

1.856 
1.686 

548 
2.574 

202 

740 
717 
525 
378 
1,770 

2.614 
319 


65 

411 

1.595 

• 196 

204 

1,365 
171 

1.248 
171 
495 

20 

39 

1.097 

44 

425 

599 
5,821 
1.055 

733 
1.768 

134 
1.672 

169 
55 
24 

95 
113 

1.329 
724 
343 

53 

126 

411 

259 

2 

45 

1.116 

1.657 

452 

2.152 

522 

38 

25 

120 

286 

1.039 
851 

279 
751 
164 

436 
118 
275 
30 
212 

293 

142 


2 




19 
6 

2 


21 




47 




18 


EI Cerrito 


4 


El Monle 


10 


53 




■> 




6 

3 

1 


37 




18 




25 


Fillmore 


10 




"> 




9 

1 
1 

42 
8 
8 
8 

-) 
7 


50 




5 


Fountain Valley 


11 
141 




226 




21 




33 




77 




77 


Glendale 


43 
10 






3 


Grover City 


1 


1 

4 




1 
13 
6 

3 


9 


Hawthorne 


73 
66 


Hemet .. 


8 




5 


Hermosa Beach 


1 
2 

1 


3 


Hesperia 


13 


Highland 


10 






Hollislcr 




2 
47 
21 
13 
69 

18 


4 


Huntington Beach 


5 

12 
1 1 
45 

2 


34 




22 




11 




115 




74 




13 


Lafayette . 




3 

8 
10 

18 
12 

3 
44 

3 

9 
6 
12 

7 
14 

22 
8 


1 






14 




2 
4 


15 


Lakcwood 


12 

7 




1 
2 


13 


Lancaster 


32 




6 


La Fucnte 


3 
1 

1 


11 


La Verne 


7 


Lawndalc 


14 
12 


Livcrmore 


1 

2 
1 


33 




14 


Loma Linda 





72 



Table 6.— Number of Offenses Known to llic Police. Cities and Towns 10,000 and over In Population, 1989 — Continued 



Cily h> Sljlc 



ropuLilion 



( rune 
Indcv 



Modincd' 
Crime 
Indcy 
lolal 



Murder 
and iion- 
ncpligcnl 

man- 
skiughlcr 



Forcible 
rape 



Ruhbery 



Aggra- 
lalcd 
assault 



Burglary 



Larcenv- 
Ihcfl' 



Motor 
vehicle 
then 



CALIFORNIA— Continued 



Lomiia 

Lonipoc 

Long Beach . 

Los Alamitos 

Los Altos 

Los Angeles 
Los Banos .. 
Los Gates ... 



Lynwood 

Madera 

Ntanhattan Beach 

Manlcca 

Manna 



Martinez ... 
Mansville . 
Maywood .. 
Mcnio Park 
Merced 



Millbrae 

Mill Valley .. 

Milpitas 

Mission Viejo 
Modesto 



Monrovia 

Monlciair 

Montebello ... 

Monterey 

Monterey Park 



Moorpark 

Moraga 

Morgan Hill ... 

Morro Bay 

Mountain View 



Napa 

National City .. 

Newark 

Newport Beach 
Norwalk 



Novato . . . 
Oakdale .. 
Oakland . 
Oceanside 
Ontario 



Orange . 

Orinda 

Oroville 

Oxnard 

Pacifica 



Pacific Grove 

Palm Springs 

Palo Alto 

Palos Verdes Estates 
Palmdale 



Paradise . . . 
Paramount . 
Pasadena ... 
Paso Robles 



:o.7:4 

3.1.401 
426.025 

12,400 
28.413 
3,441.444 
13.51') 
28.669 

57.759 
28,259 
35.834 
39.026 
29,891 

30,332 
11.671 
26.565 
28.35 1 
51.601 

21.227 
1 3.6 1 1 
47.330 
66.895 
152.605 

34.920 
26.791 
58.293 
31,410 
63,559 

21,012 
16,146 
23,927 
10,121 
63,487 

58.837 
58.509 
40,289 
70,888 
93.829 

48.542 

10.922 

366.305 

115.611 

126.646 

108.508 
18.281 
10.716 

133.523 
38.647 

16.793 
32.108 
57.451 
15.130 
41.356 

26,832 

45.598 

135.504 

16,536 



877 

2,395 

40,432 

631 

598 

319.097 

730 

1,122 

3,995 
1.694 
1.895 
2.785 
791 

1,462 
1.470 
1.345 
1.522 
3.812 

570 

399 

2.607 

2.082 

11,214 

2.170 
3.397 
4.206 
2.199 
3.089 

494 
194 

1.022 
455 

3.847 

3.294 
5.571 
2.536 
4. 1 1 3 
4.217 

1 .305 

676 

45.914 

8.531 
10.895 

6,922 

320 

1.386 

7.944 

958 

731 
4,105 
3,585 

295 
3,697 

655 

3,668 

10,641 

720 



879 

2,402 

40,62 1 

644 

601 

324,734 

734 

1,140 

4,042 
1,696 
1 ,900 
2,801 
795 

1 ,465 
1,494 
1,35 3 
1,526 
3.S47 

570 

401 

2,614 

2,123 

11,277 

2,172 
3,402 

2,210 
3,096 

504 

194 

1,039 

460 

3,874 

3,330 
5,585 
2,548 
4, 1 33 
4,250 

1,335 

685 

46,280 

8,578 
11.074 

7.000 

324 

1,386 

7,975 

962 

731 

4,215 

3,597 

296 

3,715 

656 

3,704 

10,717 

723 



85 



877 



129 
10 
19 



1 
11 

247 

6 

1 

1,996 

4 

10 

44 
8 
7 

15 
5 

6 
9 
10 
8 

23 



7 

4 

23 

20 

33 

8 

18 
29 

10 

1 

442 

70 

59 

22 
1 
5 

51 



37 

31 

3,763 

18 

7 

31,063 

9 

18 

497 
57 
54 
31 
21 

24 
40 
85 
58 
93 

16 

5 

71 

23 

242 

108 
193 
230 
41 
255 

6 
1 

12 

4 
75 

36 

300 

38 

36 

222 

15 

5 

3,224 

355 

461 

192 
3 

13 
320 

18 

5 

120 

64 

3 

115 

I 
278 
780 

8 



161 

109 

3.074 

61 
57 
43.361 
24 
37 

878 
287 

58 
153 

34 

36 
69 

126 
86 

146 

16 

12 

100 

136 

727 

186 
180 
559 
146 
236 

95 

6 

102 

23 
159 

176 
415 
121 
164 
695 

83 
89 

1.760 
861 

1.657 

256 

4 

100 

490 

65 

45 

390 

45 

12 

530 

19 

555 

1,095 

58 



245 

499 

8.817 

161 
119 
51,209 
203 
263 

840 
428 
508 
594 
173 

336 
199 
278 
261 
899 

68 

68 

471 

530 

2.097 

522 
571 
691 
422 
721 

155 
40 

264 
71 

471 

511 

872 

291 

1.079 

1.022 

320 

110 

9.874 

1.768 

2.242 

1.470 
100 
369 

1.835 
212 

173 

1.025 

550 

99 

868 

180 

859 

2.215 

226 



335 

1,626 

17,432 

314 
390 
126.600 
456 
691 

878 

737 

1.062 

1.769 

525 

913 

1,058 

526 

955 

2,376 

393 

280 

1,710 

1.221 

7,110 

1.062 
1.816 
1.791 
1.469 
960 

186 
130 

578 

335 

2,842 

2,369 
2,400 
1,887 
2,425 
1,361 

790 

431 

23,941 

4,089 

4,948 

4.128 
203 
723 

4.484 
581 

487 
2,013 
2,723 

168 
1 .436 

397 
1,059 
5,2.34 

367 



98 

1 19 

7,014 

71 

24 

63,991 

34 

101 

838 
173 
206 
221 

32 

146 

93 

318 

150 

272 

72 

32 

227 

163 

977 

278 
616 
919 
105 
896 

45 
17 
59 
18 
274 

182 

1,547 
191 
385 
884 

85 

40 

6,544 

1.378 

1,509 

848 
9 

174 
758 

78 

15 
515 
191 

13 
716 

54 

885 

1,260 

60 



73 



Table 6.— iNumber of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1989 — Continued 



City by Stale 


Population 


Crime 
Index 
total 


Modified* 
Crime 
Index 

total 


Murder 
and non- 
negtigent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larcenv- 
theft 


Motor 
vehicle 
theft 


Ar^on* 


CALIFORNIA— Continued 

Perris 


13,724 

41,849 
57,698 
10,747 
15,715 
45,462 

41,777 
31,400 
50,184 
123,659 
26,144 

21,022 
98,340 
49,332 
12,810 
56,866 

59,987 
65,581 
61,619 
14,525 
64,411 

83,370 
28,187 
216,205 
15,366 
33,904 

49,086 

35,177 
347,172 
103,766 

12,297 

36,511 
27,201 
39,776 
1,098,639 
32,919 

21,371 
750,964 


1.942 

1,726 
2,967 
391 
1,030 
2,731 

1,570 
2.158 
1.667 
9.632 
2.079 

668 

4.184 

878 

849 

4.462 

3.276 
4.003 
3,702 
818 
4,695 

11,654 
1,068 

18,637 

627 

1,782 

2,809 

2,678 

35,825 

7,736 

443 

1,787 

846 

1 .443 

102.991 

1.442 

1.377 

67.748 

205 

2.051 

544 

1.027 
38.935 
1 ,037 
4,747 
1,812 

356 
4.549 
3,2 1 7 
2,555 

941 

21,553 
5,183 
5.364 
3,667 
4,329 


1,949 

1,743 
2,991 
395 
1.045 
2.754 

1.605 
2.165 
1.690 
10,053 
2.081 

670 

4.208 

883 

854 

4.470 

3.303 
4.016 
3.717 
822 
4.715 

11.760 
1.103 

19.143 

638 

1.790 

2.825 

2.681 

36.057 

7,777 

447 

1,788 

846 

1,452 

103,287 

1,457 

1,377 

68,121 

207 

2,062 

558 

1 ,032 
39,315 
1,058 
4,764 
1,817 

358 
4,566 
3,244 
2,566 

945 

21.809 
5.202 
5.404 
3.697 
4.340 


6 


12 

10 
20 


84 

20 

181 

5 

31 
139 

34 
38 
1 1 
809 
26 

23 

102 

17 

4 

49 

77 

155 

94 

18 

272 

744 

854 

18 

199 

45 

1.654 

217 

2 

42 
15 
20 
3.585 
45 

84 

5.005 

12 

92 

9 

13 
995 

15 
246 

15 

19 

115 

159 

40 

11 

1.125 

123 

73 

72 

95 


181 

127 
497 
3 
107 
245 

138 

63 

56 

1.227 

94 

97 

416 

84 

13 

286 

179 
198 
403 
108 
448 

1.701 

181 

1.951 

12 

73 

444 

158 

1,773 

734 

39 

44 
60 
40 
6.008 
168 

174 

4.606 

43 

124 

36 

165 
3.103 

66 
175 

57 

10 

298 

262 

152 

9 

1 .066 
466 
300 
570 
125 


488 

349 

565 

62 

223 

1.118 

447 
430 
264 
2,312 
867 

146 

1,032 

316 

109 

1,000 

988 
931 
601 

147 
1,338 

2,534 
226 

4,254 
159 
642 

650 

566 

7,481 

1,269 

99 

317 
162 
384 
17,495 
326 

256 

10,692 

55 

567 

100 

273 
6,318 
275 
930 
349 

89 
484 
679 
466 
168 

3,648 

1,103 

948 

752 
765 


883 

1,108 

1,156 

282 

507 

932 

763 
1,490 
1,215 
3.499 

908 

338 

2,033 

382 

687 

2,703 

1,560 
2,070 
2,234 
496 
1,865 

4,942 
566 

8,120 
407 
940 

944 

1,646 

17,952 

4,968 

285 

1.204 

549 

746 

49.789 

671 

496 

37.316 

87 

913 

334 

517 

23.656 

573 

2.803 

1.243 

210 
3.2 1 7 
1.586 
1.660 

676 

11.762 
3.082 
3,492 
1,668 
3,052 


288 

112 
544 
39 
154 
266 

170 
125 
1 16 
1,673 
174 

54 

559 
74 
33 

403 

454 
633 
351 
37 
733 

1,578 
80 

3,317 
44 
99 

556 

252 

6,734 

488 

17 

179 

58 

247 

25,583 

219 

358 

9,676 

6 

346 

63 

53 

4,426 

102 

578 
124 

27 
400 
514 
218 

72 

3,825 
357 
496 
577 
256 


7 




17 




4 


24 




4 


Pinole 




8 

27 

15 

10 

5 

68 

7 

10 

41 

5 
2 

19 

16 
12 
19 
11 

34 

117 

7 

116 

2 
10 

14 

11 

187 

53 

1 

1 

2 

6 

410 

9 

7 
380 

2 

5 


15 


Pittsburg 


4 
3 


23 




35 


Pleasant Hill 


7 




23 


Pomona 


44 
3 


421 




2 




2 




1 


24 




5 


Red Bluff 


1 
-) 

2 
4 


5 




8 




27 




13 




IS 


Reedley 


1 
5 

38 


4 


Rialto 


20 




106 




35 




25 


506 


Rocklin 


11 






8 




1 


16 




3 




44 
7 


232 




41 




4 






1 












9 


San Diego 


121 
4 

2 
73 


296 




15 








373 




2 




34,982 

15,602 

12,697 
757,964 
25,179 
68,558 
39,037 

14,258 
85,176 
22,551 
46,663 
30,589 

245,880 
80.239 
92.208 
98.120 
49.034 


4 

-) 

1 

38 

1 
-) 

3 


II 




14 


San Jacinto 


5 
399 

5 
13 
21 

1 
35 
12 
18 

5 

74 
49 
49 
23 
33 


5 




380 




21 




17 




5 




2 






17 




5 
1 


27 




11 




4 




53 
3 
6 
5 
3 


256 




19 




4( 




30 


Santa Cruz 


II 



74 



Table 6. — Number of OfTenses Known to the Police, Cities and Towns 10.000 and over in Population, 1989 — Continued 



Crime 
Index 
total 



Modified* 
Crime 
Index 
total 



Murder 
and non- 
ncgligent 

man- 
slaughter 



Forcible 
rape 



Robber> 



Aggra- 
vated 
assault 



Burglar> 



Larccny- 
Ihefl 



Motor 
vehicle 
theft 



CALIFORNIA— Continued 

Sania Ft; Springs 

Sania Marta 

Santa Monica 

Santa Paula 

Sania Rosa 

Saratoga 

Seal Beach 

Seaside 

Selma 

Sierra Madre 

Simi Valley 

South El Monte 

South Gate 

South Lalce Tahoe 

South Pasadena 

South San Francisco 

Stanton 

Sloclslon 

Suisun City 

Sunnyvale 

Temple City 

Thousand Oaks 

Torrance 

Tracy 

Tulare 

Turlock 

Tustin 

Twenly-Nine Palms 

Twin Cities 

Ukiah 

Union City 

Upland 

Vacaville 

Vallejo 

Ventura 

Viclorville 

Visalia 

Walnut 

Walnut Creek 

Walsonville 

West Covina 

West Hollywood 

Westminster 

West Sacramento 

Whittier 

Woodland 

Yorba Linda 

Yuba City 

COLORADO 

Arxada 

Aurora 

Boulder 

Brighton 

Broomfleld 

Canon City 

Colorado Springs 



16,311 
54.095 
96,5-50 
24.522 
1 1 1 .084 

-W.845 
27,663 
37,969 
14.504 
11.394 

98,890 
19,616 
83,832 
22,500 
24,430 

53,643 
28,936 

195,727 
19,975 

119,255 

32,385 
104,217 
141.591 
29,244 
29,265 

38,523 
44,292 
12.492 
20,160 
13,960 

52,894 
64,062 
65,571 
103,396 
91,253 

29,049 
67,819 
26,904 
62,389 
30,589 

97,120 
38.626 
75.261 
27.694 
75.579 

38.267 
48.963 
23,516 



91,431 

219.780 

76.358 

14,852 

25.603 

14.349 

284.482 



2,199 
4.324 
9,205 
1,438 
6,969 

524 

895 

2,333 

1,014 

194 

3,093 
1,515 
4.674 
1.615 
8-30 

2,295 
2,844 
23,288 
1,364 
3,889 

1,209 
2,952 
7,456 
1,550 
1,692 

3,849 

3,613 

893 

844 

1,176 

2,679 
3,888 
2,517 
9,246 
4,941 

3,620 
4,963 
795 
2,901 
2,909 

6,757 
3,994 
5,504 
2,182 
3,345 

2,027 
1.137 
2.298 



3.480 

17.283 

5.997 

1.040 

1.158 

696 

21,553 



2,215 
4,329 
9.354 
1,443 
7,021 

531 

910 

2,360 

1,032 

195 

3,132 
1,526 
4,689 
1.622 
842 

2,322 
2,920 
23,428 
1.370 
3,933 

1,214 
2,998 
7,540 
1,564 
1,765 

3,929 

3,665 

905 

844 

1,180 

2,709 
3,915 
2,530 
9,327 
4,984 

3.643 
4.983 
802 
2.920 
2.919 

6.908 
4.030 
5,512 
2,196 
3,368 

2,046 
1,168 
2,304 



3,502 

17,373 

6,041 

1,052 

1,178 

716 

21,691 



43 



1 
1 

25 

17 

3 

11 
16 

177 

3 

24 



14 



120 
14 
10 

4 

3 

190 



97 
69 

478 
48 

151 



134 
23 



66 
93 
407 
52 
34 

55 

117 

1,198 

42 

46 

37 

55 

370 

21 

102 

63 

90 

16 

9 



77 
128 

60 
456 
120 

124 

125 

18 

39 

61 

332 
363 
178 
74 
137 



25 



33 

378 

35 

6 

5 

I 

.348 



190 
256 
505 
86 
318 

27 

76 

358 

90 

1 

181 
231 

277 
92 
52 

147 
208 
951 
140 
158 

109 
167 
424 
166 
191 

234 
79 
49 

7 



214 
158 
138 
1.552 
275 

259 

338 

64 

130 

235 

316 
382 
146 
88 
256 

180 

53 

129 



193 

2,354 

120 

71 

56 

14 

798 



378 
924 

1,311 
370 

1,513 

167 

260 

359 

66 

54 

859 
432 
1,041 
445 
197 

390 

884 

5,5 1 8 

.397 

577 

338 
865 
1,401 
262 
669 

1,087 
835 
386 
192 
319 

731 

945 

483 

1,863 

1.223 

794 
844 
223 
487 
560 

1.147 

1.116 

1,058 

548 

600 

462 
290 

454 



761 

2,967 

876 

193 

200 

111 

4,300 



1,054 
2,755 
5,307 
851 
4,383 

299 

419 

1,239 

694 

114 

1.625 
418 

1.558 
909 
390 

1,398 

1.355 

12,670 

665 

2,712 

569 

1,546 

3,899 

982 

541 

2,232 

2,181 

340 

592 

770 

1,420 
2,080 
1,588 
4,236 
2,957 

1,797 
3,335 
354 
2,077 
1,860 

3,377 
1,296 
3,219 
1,187 
1,843 

1,179 

669 

1,543 



2,309 

10,237 

4, "19 

695 

843 

545 

14,298 



474 

302 

1,535 

81 

556 

15 
110 
219 
128 

18 

348 

325 

1,352 

99 

154 

292 
261 
2,732 
115 
370 

154 

298 

1,321 

110 

175 

218 

421 

92 

42 

44 

213 
551 
223 
1,056 
329 

611 

290 
127 
159 
178 

1,552 
811 
879 
261 
487 

162 
109 
1.32 



175 

1.220 

233 

65 

50 

21 

1,610 



75 



Table 6.— Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1989— Continued 



City by Stale 


Population 


Crime 
Index 
tolal 


Modified' 
Crime 
Index 
total 


Murder 
and non- 
negligcnt 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglar> 


Larceny- 
theft 


Motor 
vehicle 
theft 


Arion* 


COLORADO— Continued 


16.530 
494.589 

13,113 
30.608 
77.494 
11,988 
14,570 

33,049 
57,708 
14,219 
119,918 
33.361 

52.453 
37.390 
28.457 
101,560 
10,852 

55,930 

74,258 
28,407 

18,925 
14.286 
16,921 
17,963 

20,197 
26,279 
140,029 
60,773 
14,707 

25,437 
12,954 
11,662 
64,540 
17,603 

12,193 
1 0,009 
53,970 
26,148 
45,584 

52,066 
19.326 
27.651 
57.316 
10,069 

39.563 
19.847 
52.728 
131.544 
16.3.30 

50.794 
58,769 
39.694 
49.271 
16.921 


1.807 
37.650 

1.250 

3.616 

4.674 

511 

600 

2.408 
4.231 
617 
8.999 
1,738 

3.145 
1.648 
2.183 
7.766 
513 

3.103 
4.901 
1,907 

626 
315 
340 
268 

906 

653 

17.452 

1.979 

369 

478 
319 
328 
3.344 
513 

587 

247 

2.980 

1.072 

2,280 

2.207 
955 
675 

1.528 
257 

1.540 

510 

2.829 

2 1 ,005 

307 

1,863 
2.833 
2.364 

2.647 
261 


1.812 
38.072 

1,254 

3,648 

4,701 

513 

607 

2,431 
4.261 
628 
9,094 
1,758 

3.155 
1,660 
2.195 
7.818 
515 

3,120 
4,933 
1,917 

632 
319 

340 
268 

911 

653 

17,496 

1,983 

369 

479 
323 
330 
3,347 
513 

589 

250 

2.992 

1.072 

2,314 

2,208 
955 
680 

1,532 
257 

1,549 

510 

2,835 

21,297 

311 

1,864 
2,868 
2.378 
2.667 
1 263 




6 
325 

3 

13 
41 

5 
2 

8 
23 


17 
1.267 

6 
51 
28 

2 

1 

20 
31 

5 
146 

23 

40 
3 

13 

140 

2 

38 
44 
38 

37 
3 
2 
1 

1 1 

8 

1.562 

27 

3 

6 
3 
8 
52 
11 

II 

4 
109 

12 
36 

35 
5 
7 

20 

2 

8 

1 

75 

1.600 

2 

20 
65 

47 

37 

1 


83 
1.925 

86 
160 
230 

19 

28 

74 
255 

75 
516 

26 

130 
120 
104 
985 
17 

2") 

228 

76 

29 
4 
2 
2 

53 

7 

1,014 

172 
12 

4 

3 

7 

41 


324 

10,280 

141 

601 

757 
117 
95 

413 
878 
104 
1,611 
362 

624 

255 

349 

1,550 

73 

762 
809 
349 

190 
87 
75 
87 

197 

92 

4,207 

573 

102 

163 
112 
60 

702 
72 

154 
53 
600 
264 
389 

489 
162 
151 
234 
73 

246 

157 

439 

5,016 

86 

402 
791 
381 
512 
79 


1.251 
18,172 

982 

2,536 

3,441 

341 

441 

1,806 
2,883 
400 
6.014 
1.197 

2.228 
1.188 
1.571 
4,665 
405 

2,001 
3.480 
1.309 

303 

207 
225 
167 

553 

440 

5.929 

1.074 

230 

285 
190 
214 
2,255 
370 

348 
124 

1.794 
635 

1.589 

1.301 
687 
472 

1,134 
147 

1.125 

312 

1.838 

9,318 

189 

1,300 
1,591 
1.571 
1.578 
148 


126 
5.626 

31 

252 

175 

27 

33 

85 
160 

33 
673 
126 

106 

68 

140 

355 

16 

247 
316 
131 

63 

11 

36 

8 

90 

102 

4,634 

128 

IS 

16 
10 
39 
271 
60 

57 

1 1 

396 

148 

236 

358 
80 
35 

1.34 
9 

71 

38 

433 

2,893 

24 

78 
315 
221 
487 

21 


5 




55 

1 

3 
2 


422 




4 




32 




27 




-> 






7 




1 


23 




30 




11 




2 
1 

1 
1 


37 
3 

16 

13 

6 

65 


95 


Liltlelon 


20 




10 




12 




12 


Pueblo 


6 


52 




2 




1 


32 

24 

4 

4 

3 


17 




32 


Wheal Ridee 




10 


CONNECTICUT 




6 






4 








Bethel 




3 

-) 
4 
70 
5 
4 

4 








5 




36 






44 


Briiitol 


4 












1 


Clinton 


1 


4 






2 




3 


20 


3 








3 


4 

1 

15 

2 

4 


10 
54 
65 
11 
26 

24 
19 
9 

5 
24 

65 

1 

30 

1.981 

5 

36 
55 
131 
21 
II 


2 




3 




1 


12 










34 






1 






2 
1 
1 
2 

23 

1 

13 

167 

1 

27 
15 

7 
10 

1 








j 






4 










2 


? 


Guillbrd 






1 
30 


6 


Hartford . . 


292 




4 


Manchester 








1 
6 

-1 


3< 


Middlctown 


H 


Milford 


2C 


Monroe , 





76 



able 6. — Number of OfTrnscs kno»n In the Police, Cities and Towns 10,000 and over in Population, 1989 — Continued 



Cily h\ Slalc 



Crime 
IndcK 
lotal 



MixJiHcd" 
Crime 
Index 
1ot3l 



Murder 
and non- 
ncgligenl 

man- 
slaugliler 



i orcihle 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larcenv 
theft 



M,.t<ir 
vehicle 
Ihelt 



CONNECTICUT— Continued 

augaiuck 

lew Britain 

lew Canaan 

lew Haven 

Jew'tngtoti 

«ew London 

Jew Milford 

Jewiown 

<onh Branford 

Jorth Haven 

Jorwalk 

Jorwtch 

)range 

'lainHcId 

lainville 

llymoulh 

-idgefield Town 

,ocky Htll 

eymour 

hellon 

imsbui7 

oulhington 

oulh Windsor 

lamford 

Ion i nglon 

tratford 

ufl'teld 

ornnglon 

rumbull 

ernon 

t'allingford 

v'aterbury 

^'alcrford 

k'atenown 

vest Hartford 

Vest Haven 

Vestport 

Vethersfield 

Villimantic 

Vilton 

Vindsor 

Vindsor Locks 

Volcoll 

DELAWARE 

)ov er 

Jewark 

Vtlminglon 

DISTRICT OF COLUMBIA 

Washington 

FLORIDA 

Oiamonte Springs 

<popka 

vllantic Beach 

Jartov^' 



31,729 
71,913 
I 7, .122 
124.070 
29.304 

27.922 
22.963 

21,450 
1 3.26.S 
22,.'>02 

76.271 
37.459 
13.114 
14.066 
17.793 

11.521 
21.470 
16.200 
14,086 
36.498 

22.632 
40.635 
21.991 
100.446 
16.641 

50.073 
11,391 
31.458 
32.911 
28.553 

40.916 
104.714 
17.593 
19.947 
58.468 

53.379 
24.896 
25.968 
15,247 
16,120 

27,611 
12,092 
13.305 



23.337 
26.080 
71.582 



604.000 



35.491 
10.950 
11.258 
16.590 



784 

5.184 

262 

18.872 

989 

2,298 
439 
287 
262 
995 

5,281 

1,767 

951 

218 

494 

300 
207 
502 
352 
692 

305 
1,095 

429 
7.136 

541 

2.210 

194 

1,079 

1,261 

865 

1.459 

9.656 

830 

562 

2.652 

3.097 
906 

750 
1.375 

222 

877 
372 
306 



2.349 
1,290 
7,408 



62.118 



3,125 

1,613 

184 

1,889 



796 

5,2.30 

262 

18,940 

993 

2,324 
444 
294 
268 
995 

5,296 

1,788 

952 

220 

498 

306 
209 
508 
355 
693 

305 
1,099 

430 
7,179 

544 

2,239 

199 

1.090 

1.261 

869 

1.462 

9.685 

834 

566 

2.667 

3.119 
908 

753 

1,394 

223 

880 
372 
308 



2,366 
1,297 
7,459 



62,338 



3,135 

1.613 

184 

1.890 



434 



111 



20 



27 

7 

107 



186 



7 

195 

1 

1.475 



80 
3 
1 
1 

19 

169 
30 
14 



1 

8 

10 
6 

6 

11 

7 

269 

5 

47 
3 

14 
10 
15 



77 

22 

395 



6.541 



33 

165 

2 

1.549 

24 

157 

9 

5 

1 

35 

95 

117 

11 

12 
6 

6 

10 

5 

45 

27 



24 

9 

279 

3 

30 
5 

35 
6 

66 

43 
251 
34 
11 
47 

138 
24 
46 
16 



110 

78 

481 



5.775 



157 

130 

19 

160 



192 

1,196 

48 

4,555 

129 

528 
106 
131 
105 

178 

1,307 

370 

124 

68 

119 

91 
82 
99 
89 
168 

57 

285 

90 

1,602 

115 

447 
44 
165 
147 
193 

392 

2.492 

95 

100 

569 

729 
141 

84 
387 

47 

161 
66 
80 



238 

196 

1.439 



11,778 



466 

3,091 
199 

8,194 
750 

1.333 
282 
1.34 
138 
616 

2,975 

1,090 

716 

109 

318 

156 

97 

329 

163 

377 

222 
715 
290 
3,993 
392 

1.106 
117 
725 
907 
518 

803 

5.420 
645 
403 

1.699 

1.619 
636 
516 
882 
159 

605 
235 
192 



1,791 

874 

4,124 



29.113 



713 


1.863 


459 


806 


28 


116 


482 


1.115 



85 

503 

12 

2.954 

76 

176 
38 
15 
17 

146 

709 
128 
84 
28 
42 

40 
17 
56 
45 
109 

18 

55 

32 

965 

25 

559 

22 

119 

191 

64 

201 

1.174 

37 

41 

249 

529 
97 
76 
64 

15 

67 
44 
24 



106 
113 
860 



8.291 



271 

161 

9 

79 



77 



Table 6. — Number of OfTenses Known to the Police, Cities and Towns 10,000 and over in Population, 1989 — Continued 



City by Stale 



Population 



Crime 
Index 
total 



Modified* 
Crime 
Index 
total 



Murder 
and non- 
ncgligenl 

man- 
slaughter 



Forcible 
rape 



Aggra- 
vated 
assault 



Burglary 



Larceny 
theft 



Motor 
vehicle 
Ihetl 



FLORIDA— Continued 

Belle Glade 

Boca Ralon 

Boynton Beach 

Bradenlon 

Callaway 

Cape Coral 

Casselberry 

Cleat^ater 

Cocoa 

Cocoa Beach 

Coconut Creek 

Cooper City 

Coral Gables 

Coral Springs 

Dania 

Davie 

Daytona Beach 

Deerfield Beach 

De Land 

Delray Beach 

Dunedtn 

Edgewaler 

Euslis 

Fort Lauderdale 

Fort Myers 

Fori Pierce 

Fori Walton Beach 

Gainesville 

Greenacres City 

Gulfport 

Haines City 

Hallandale 

Hiaieah 

Holly Hill 

Hollywood 

Homestead 

Jacksonville 

Jacksonville Beach 

Jupilcr 

Key WesI 

Kissimmcc 

Lakeland 

Lake Worth 

Largo 

Lauderdale Lakes 

Lauderhill 

Lecsburg 

Lighthouse Point 

Longwood 

Margate 

Melbourne 

Miami 

Miami Beach 

Miami Springs 

Mirjiiiar 

Naples 

New Port Richey 



17.052 
63,298 
46,328 
41,182 
11,084 

61,449 
20,206 
97,650 
19.764 
12,964 

25,301 
17,617 
42,342 
68,506 

12,707 

43,154 
62.209 
48,126 
18,593 
46,390 

33,765 
13,333 
13.878 
149.575 
45,352 

40,380 
23,421 
88,578 
26.903 
1 1 ,700 

13,498 
37,042 

166,494 
11,371 

123,412 

24,099 
654,737 
19,332 
27.201 
27.581 

28,526 
66,102 
28,290 
64,983 
27,817 

44.387 
15,254 
11,341 
14,258 
41,284 

61,315 
381.206 
95.111 
11.998 
39.528 

20.986 
15.018 



3.107 
3,767 
4,521 
3,878 
493 

3,921 
2,557 
10,305 
2,082 
1,469 

884 

604 

5,495 

3,211 

1,964 

2.674 
9.077 
3.110 
2.318 
6.274 

1,577 

543 

592 

25,789 

5,995 

6,055 
1,677 
9.543 
1.124 
921 

1.038 
2.581 

18.372 
1.268 

12.833 

4.499 
67.651 
1. 110 
1.624 
5.404 

2.480 
10,648 
4.491 
3.443 
2,434 

3.663 

2.075 

436 

943 

1,970 

6.586 

70,053 

16,226 

1.464 

1.061 

1.849 
1.283 



3.120 
3.770 
4.526 
3.881 
493 

3.931 
2.557 
10.341 
2,085 
1,472 

886 

608 

5,508 

3.218 

1.968 

2.686 
9.113 
3,115 
2,324 
6,289 

1,581 

545 

593 

25,850 

6,012 

6,082 
1,681 
9.576 
1.124 
922 

1,041 
2.581 

18.427 
1.271 

12,857 

4,510 
67,996 
1.110 
1,627 
5.413 

2,483 
10,662 
4,502 
3,461 
2,441 

3.667 

2.082 

437 

943 

1.975 

6.616 

70.226 

16.240 

1.466 

1.070 

1.854 
1.286 



13 



165 
I 



3 

132 

II 



I I 
9 

14 
107 
13 
10 
34 

6 

5 

2 

72 

42 

56 

13 

65 

1 



7 

14 
46 

8 

73 

20 

609 

6 

2 

26 



2 
10 

26 

285 

29 

3 

7 

5 
6 



147 
107 
260 



24 
65 
320 
140 
26 

10 

5 

196 

41 
121 

50 
445 
194 
126 
286 

24 

6 

13 

1.474 

419 

351 
40 

376 
21 

42 

25 
227 
975 

27 
469 

316 

3,940 

64 

14 

182 

66 
481 
189 

60 
129 

191 
67 
17 
12 
56 

175 

7,289 

728 

59 

60 

18 
13 



432 

99 

414 

413 

27 

130 
91 
646 
138 
40 

46 
35 
82 
112 
145 

141 
732 
174 
189 
459 

147 

16 

65 

976 

220 

643 
125 
948 

27 
70 

68 
305 
974 

63 
556 

532 

4.735 

78 

38 

329 

98 
522 
268 
291 
182 

274 

197 

II 

38 

89 

587 
6.387 

835 
51 
50 

106 

55 



825 
1.063 
1,037 
1,070 

73 

1,130 
635 

2,061 
704 
314 

243 
196 
983 
678 
463 

766 

2,732 

800 

605 

1,583 

360 

180 

135 

6,882 

1 ,4 1 3 

1,701 
343 

2,987 
351 
213 

376 
572 

3,974 
350 

2,558 

999 

19,708 

266 

361 

1,476 

466 
2,552 
1,322 

843 

47.1 

734 
839 
59 
248 
415 

1.675 

15.350 

3,405 

397 

330 

509 

330 



1,523 
2.182 
2,488 
2,054 
369 

2,334 
1,586 
6,643 
1,002 
1.011 

490 

343 
3,719 
2.205 
1,009 

1,410 
4,496 
1,577 
1,317 
3,418 

1,005 

303 

-345 

1 3,803 

3,141 

2,695 

1,076 

4,784 

632 

530 

502 
1,153 
8,497 

756 
7,622 

2,214 

33,267 

638 

1,126 

3,091 

1,720 
6.134 
2.260 
2,080 
1,279 

2,012 
873 
304 
546 

1.249 

3.869 

31.268 

9,376 

732 

497 

1,140 
809 



162 
305 
308 
110 
21 

288 

174 

557 

84 

75 

90 

23 
511 
162 
215 

291 
552 
352 
71 
490 

35 

33 

32 

2,552 

750 

593 
80 

378 
91 
64 

57 

307 

3.878 

63 
1,547 

416 

5,227 

57 

83 

298 

122 
898 
442 
139 
352 

432 
87 
45 
97 

151 

251 

9,342 

1.842 

222 

116 

50 

70 



78 



Tabic 6.— Number of Offenses Known 


tu the Police, Cities and Towns 10.000 and over in Population, 1989— 


Continued 








C"it> b> Stale 


PopuUilion 


Crime 
Index 
loul 


Modilicd* 
Crime 
Index 
tot>il 


Muidei 
.ind non- 
negligenl 

man- 
slaughter 


Forcihle 
rape 


Robbcr> 


Aggra- 
vated 
assault 


Burglar> 


Lareenv- 
Ihelt 


Motor 
vehicle 
Ihcll 


Arson* 


FLORIDA— Continued 


16.066 
12.029 
25.927 

43.329 
36,652 
12.460 
26.287 
49,153 

12,255 
14,710 
10.570 
160.197 
30.242 

11.074 
56,097 
11,988 
24.941 
10.057 

10.200 
36.662 
57.576 
64.490 
41.541 

62.795 
22.383 
70.509 
35.244 
45,280 

11,022 
28.855 
15.542 
12.204 
14.207 

13.056 
12.132 
241,862 
31.135 
54.731 

10.354 
11.197 
12.542 
10.467 
11.823 

57.402 
10.365 

129.061 
39.867 

289.463 

17,781 
14,720 
43.719 
1 5.994 
18,706 

75,039 
12,152 
25,568 
23,554 


1.178 

165 

1.435 

6.177 
4,756 
636 
4.501 
7,697 

462 

2.646 

564 

21.200 

1.317 

1.742 
3.335 
487 
2,207 
1.377 

572 
3. 1 76 
3.057 
5.786 
.3,482 

5,447 
3.050 
9,980 
1,284 
2.353 

471 

4.889 

1.026 

680 

640 

1.720 

787 

30.690 

2.727 

6,869 

380 

926 

.567 

1.429 

1.274 

2.983 

381 

14.974 

1 .900 
45.329 

1.299 
1,013 
2.492 
715 
1,668 

12.872 
1.147 
4,073 
2.135 


1.178 

165 

1.436 

6.185 
4.757 
637 
4.505 
7,716 

468 

2,648 

565 

21,268 

1,317 

1,750 
3,342 
487 
2.215 
1.381 

572 
3,181 
3,073 
5,795 
3.491 

5.456 
3.056 
10.000 
1,286 
2,368 

476 

4,902 

1.026 

680 

644 

1.727 

793 

.30.913 

2.729 

6.892 

382 

927 

571 

1.429 

1.280 

2.985 

383 

1 5.003 

1.905 
45.505 

1..304 
1.016 
2.500 
716 
1,670 

12.904 
1.152 
4,083 
2,1.36 


1 


1 


38 
■> 

20 

439 
376 
19 
234 
308 

12 

291 

14 

1.189 

27 

98 
29 
10 
46 
46 

4 

69 

85 

130 

53 

131 

119 

640 

18 

11 

14 
265 

15 
2 

8 

43 
11 

2.252 
157 
260 


60 


27(1 

35 

358 

1.368 
782 
153 
916 

2.131 

152 

672 

116 

5.854 

277 

418 

1.051 

78 

620 

266 

91 

720 

704 

1.3.36 

697 

936 
613 
2,683 
181 
683 

109 
2.200 
277 
125 
142 

273 

190 

6.978 

1.143 

2.063 

56 
254 
188 
358 
295 

748 

74 

3,623 

414 

11.694 

325 
226 
726 
89 
430 

3.683 
255 
945 
451 


747 
123 
863 

2.989 
2.580 
402 
2.622 
4.434 

214 
992 
358 
10.220 
869 

981 
1,884 

355 
1.340 

924 

388 
2,096 
1,870 
3.492 
2,449 

3.647 
1.730 
4.552 
1,001 
1.485 

309 
1,364 
692 
491 
419 

1.194 

500 

16.128 

919 

3.819 

308 
590 
300 
756 
790 

1.859 

182 

8.627 

1 .2 1 3 

20,515 

748 
643 

1.408 
562 

1.056 

5.927 

707 

2.493 

1,359 


60 

5 

87 

1.077 

774 

44 

476 

390 

47 

350 

39 

1.783 

74 

60 
108 

31 
1.30 

45 

65 
123 
279 
332 
175 

603 

226 

1,147 

44 

75 

23 
634 
22 
45 
20 

56 

45 

2,464 

231 

300 

3 
20 
28 
100 

45 

171 

72 

745 

150 

5.210 

64 
49 
131 
23 
89 

1,596 
101 
188 
126 




Niccvillc 




5 


15 

15 

13 

1 

17 

22 

5 

6 

176 

3 

19 
1 

5 
8 


90 

284 
229 
17 
234 
405 

31 

327 

31 

1,959 

66 

182 

242 

10 

66 

86 

24 
145 
108 
458 

92 

111 

348 

921 

38 

86 

16 

391 

13 

15 
47 

139 

33 

2,672 

243 

375 

12 
43 
29 
118 
92 

120 
32 

1..398 
77 

4.541 

118 
36 

133 
33 
60 

637 

26 

310 

124 


1 




8 




1 




1 




7 

1 
9 

19 

1 

1 

1 
1 


4 


Ocala 


19 




6 




2 




1 




68 






Palalka 


8 


Palm Bay 


7 








8 




t 


4 








3 
4 
5 
3 

1 
2 

15 
1 

3 


20 

7 

33 

13 

18 
12 

22 

1 

10 


5 




16 




9 


Pinellas Park 


9 




9 




6 




20 




2 




15 




5 




4 

1 


31 
6 

2 

4 

14 

6 

152 

29 

48 

1 

4 
4 

2 

6 
3 

129 

2 
175 

7 
2 
7 


13 














4 




1 

-1 

44 
5 
4 


7 




6 


Si Petersbure 


223 




2 




23 




2 






15 
18 
92 

45 

80 

19 

445 

43 

3,137 

37 
56 
85 
8 
21 

937 
53 

122 
69 


1 






4 




3 
1 

2 

7 

1 

57 










6 




2 








29 




5 




176 




5 




1 


3 




8 




1 


Vero Beach 


1 

28 
3 
1 


1! 

64 

2 
14 
6 


1 




32 




5 




10 


Winter Park 


1 



79 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1989 — Continued 



Cily by Slale 



Population 



Crime 
Index 
total 



Modified* 
Crime 
Index 
total 



Murder 
and non- 
negligenl 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



FLORIDA— Continued 

Winter Springs 

GEORGIA 

Albany 

Americus 

Athens 

Atlanta 

Augusta 

Bainbridge 

Brunswick 

Carrollton 

College Park 

Columbus 

Cordele 

Covington 

Dalton 

Decatur 

Douglas 

Douglasville 

Dublin 

East Point 

Fitzgerald 

Forest Park 

Gainesville 

Jesup 

La Grange 

Lawrenceville 

Macon 

Marietta 

Milledgeville 

Moultrie 

Newnan 

Peachlree City 

Peri7 

Rome 

Savannah 

Snellville 

Thomasville 

Tiflon 

Valdosta 

Warner Robins 

Waycross 

HAWAII 

Hilo 

Honolulu 

IDAHO 

Blackfool 

Boise 

Caldwell 

Coeur D'Alene 

Idaho Falls 

Lewiston 

Moscow 

Nampa 

Pocatello 



22,640 



84,785 

15.792 

42,037 

426,482 

43,468 
11,113 
19,760 
20,521 
28,539 

180,328 
11,296 
13,823 
21,739 
18,938 

12,676 
10,281 
16,817 
37,054 
11,052 

16,776 
17,111 
10,261 
27,818 
20,531 

119,698 
49,385 
19,435 
16.167 
16,939 

15,802 
11,631 
32,355 
148,155 
15,132 

19,060 

14,229 
36,394 
46,685 
19,202 



37,054 
848,959 



10,567 

112,270 

18,545 

24,308 

44,744 
28,303 
17,898 
28,636 
44,006 



740 



9,289 

1,116 

3,858 

88,241 

5,291 
1,076 
2,424 
1,822 
4,398 

11,388 
1,382 
1,349 
2,389 
2,297 

1,407 

786 

1,525 

5,022 

750 

2,115 
2.065 

331 
2,818 

992 

12,057 
6,240 
1,223 
1,304 
1,095 

466 

819 

3,121 

12,197 

637 

1,727 
1,482 
3,106 
4,007 
1,857 



3,061 
52,909 



448 
6,492 
1,473 
1,736 

2,531 
1,385 
690 
2,365 
2,387 



740 

1,116 

88,536 

5,322 

2,435 

4.408 

11,426 

1,352 
2,398 
2,304 

1,412 
789 

751 
2,820 



12,095 
6,265 
1.224 
1..305 



3,137 
12,251 



1,732 

3,115 
4,016 
1.859 



3,072 



449 
6,541 
1,474 
1.750 

2.538 
1..392 
698 
2.380 
2.398 



4 
246 



20 



43 



84 

10 

45 

691 

39 
6 

28 

7 

23 

81 
6 
6 
14 
17 

13 
3 

5 
44 

7 



19 
412 



465 

35 

206 

6.796 

307 
21 

123 
20 

240 

395 
55 
38 
56 

143 

36 
18 
47 
316 
20 

111 

55 

3 

50 

29 

388 

166 

33 

63 

39 

3 

29 

79 

553 

4 

66 
70 

159 
72 

103 



27 
815 



58 



417 

73 

273 

9,119 

122 
103 
317 
88 
165 

382 
207 
95 
172 
162 

116 

44 

156 

308 

78 

89 
122 

33 
165 

42 

399 
245 

67 
166 

58 

9 

65 

167 

401 



109 
115 
187 
287 
127 



66 
1.027 



7 

335 

52 

88 

95 
27 
22 
74 
157 



212 



3.018 

260 

1.558 

17.202 

1.758 
261 
510 
377 
834 

2,910 
300 
286 
435 
588 

273 
129 
293 
1.371 
170 

459 
422 
128 
567 
186 

3,106 

1,269 

283 

421 

257 

70 

155 

824 

2,535 

83 

423 
311 
988 
991 
493 



653 
10,685 



100 

1,570 

425 

266 

401 
263 
102 
409 
370 



424 



4,880 

704 

1,600 

42,660 

2,654 
636 
1,343 
1,264 
2,388 

6,969 

775 

860 

1,503 

1,069 

891 
529 
955 
2,319 
452 

1,243 
1,356 

153 
1,878 

645 

7,299 

3,944 

793 

600 

667 

359 

519 

1,835 

7,938 

527 

1,039 
909 
1.582 
2.419 
1.065 



2.184 
36.325 



319 
4.227 

929 
1.324 

1,923 
1.014 
533 
1.795 
1,739 



32 



407 

32 

172 

11,527 

391 
49 
95 
66 

739 

627 

36 

62 

206 

312 

75 

63 

64 

660 

22 

204 

101 

11 

137 

87 

761 

572 

37 

48 

70 

24 

46 

195 

654 

14 



67 
161 
208 

61 



110 
3,602 



17 

270 

54 

40 

94 
67 
26 
59 
96 



80 



I'ablc 6. — Numbi-r of Offenses Knunn lo (he Police, Cities and luttns lU.OOU and o\er in I'upulation. 1989 — Continued 



t il\ b> Stale 



Population 



Crime 
Index 
total 



Modified* 
Crime 
Index 
total 



Murder 
and non- 
neghgenl 

man- 
^taughte^ 



Forcible 
rape 



Aggra- 
vated 
assault 



BiirglaPt 



Larceny- 
Ihelt 



Motor 
vehicle 

Ihcfl 



IDAHO— Continued 

Rcxbui^ 

Twin Falls 

ILLINOIS' 

Addison 

Algonquin 

Alsip 

Alton 

Arlington Heights 

Aurora 

Barringlon 

Barilcll 

Bataxia 

Belleville 

Bcllwood 

Bclvidere 

Benscnvillc 

Bcrw y n 

Bloomingdale 

Bloominglon 

Blue Island 

Bolinghrook 

Bourhonnais 

Bradley 

Bridgeview 

Brookfleld 

Buffalo Grove 

Burhank 

Cahokia 

Calumet City 

Carbondale 

Carol Stream 

Centralia 

Centreville 

Champaign 

Charleston 

Chicago 

Chicago Heights 

Chicago Ridge 

Cicero 

Coilinsville 

Countrv' Club Hills 

Crestwood 

Crystal Lake 

Danville 

Darien 

Decatur 

Deerfield 

Dc Kalb 

Des Plaines 

Dixon 

Dolton 

Downers Grove 

East Peoria 

See footnote at end of table. 



I2.«.1 

27.848 



.W.219 
10.468 
18,406 
34.474 

73.584 
91,479 
10,879 
17,302 
I .S,646 

44,249 
21,477 
15,947 
16,319 
44,570 

14,532 
49,036 
22,812 
39,592 
1 3,639 

1 1 . 1 20 
14.793 
18.888 
32,165 
28.723 

17.965 
39.221 
23.444 
26.716 
14.101 

10.287 
59,363 
18,868 
2.988.260 
35,668 

14,020 
61,892 
21,216 
16,489 
10,819 

22,390 
35,708 
18,296 
88,538 
16,118 

31,945 
55,690 
15,245 
23,856 
44.239 

21,216 



631 
2,087 



632 
2,095 



742 

7 



10 



86 

26 

193 

1 

7 
10 

36 
81 

3 
16 

67 



26 
50 
38 

5 

5 

11 

7 

3 

18 

17 

53 

21 

7 

9 

8 
130 

■> 

31,588 
147 

5 

70 

13 

4 

3 

3 

84 

2 

212 

3 

9 
21 

3 
49 
18 



64 



30 
7 

17 
101 

48 

427 

9 

I I 

U 

44 
54 
21 



16 
137 
39 
53 
11 

19 

23 

10 

7 

49 

30 
43 
65 
43 
50 

13 

361 

13 

37,615 



14 

429 

37 

24 



18 
234 

4 
364 

4 

31 
51 
9 
38 
42 



393 



215 

85 

201 

640 

480 
1,429 
125 
110 
129 

340 
26 
I 19 
175 
601 

80 
557 
213 
254 

59 

164 
124 
84 
61 
162 

228 
392 
279 
343 
246 

45 

857 

146 

51,580 

358 

125 
891 
230 
121 
26 

72 

579 

53 

1.576 

23 

180 
328 
102 

252 
228 

288 



591 
1,533 



1,040 
199 

776 
1.730 

1.920 

4,438 

449 

380 

358 

1,237 
599 
519 
863 

1.112 

1,039 

1.856 

729 

603 

345 

470 
769 
202 
560 
1,095 

857 
1.693 
1,028 
1,000 

584 



2,872 

310 

130,153 

1,163 

1,058 
767 
792 
332 
136 

739 
1,814 

208 
3,940 

295 

1,245 

1,507 

493 

1,165 

1,327 

686 



81 

9 

198 

105 

158 

342 

17 

14 

II 

115 
182 

21 
89 

425 

54 

83 

274 

129 

13 

29 
79 
41 
30 
121 

69 

612 

48 

33 
42 

4 
232 

9 

45,898 

438 

98 

814 

97 

52 
73 

16 

77 

26 

191 

3 

73 
136 

11 
183 

85 

30 



81 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1989— Continued 



City bv Slalc 



Population 



Oimc 
Index 
total 



Modit'ied* 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglar> 



Larceny- 
theft 



Motor 
vehicle 
theft 



ILLINOIS'— Continued 

East St. Louis 

EdwardsMlle 

Effingham 

Elgin 

Elk Grove Village 

Elmhurst 

Eltnwood Park 

Evanston 

Evergreen Park 

Fairview Heights 

Forest Park 

Franklin Park 

Freeport 

Galesburg 

Geneva 

Glendale Heights 

Glen Ellyn 

Glenview 

Glenwood 

Granite City 

Gurnee 

Hanover Park 

Harnsburg 

Harvey 

Hazel Crest 

Herrin 

Hickory Hills 

Highland Park 

Hinsdale 

Hoffman Estates 

Homewood 

Jacksonville 

Joliet 

Justice 

Kankakee 

La Grange 

La Grange Park 

Lake Forest 

Lake Zurich 

Lansing 

Libertyville 

Lincoln 

Lincolnwood 

Lisle 

Lockport 

Lombard 

Loves Park 

Machcsney Park 

Macomb 

Marion 

Markham 

Matleson 

Mattoon 

Maywood 

McHcnry 

Melrose Park 

Midlothian 

See footnote at end of table. 



47.430 
13.890 
11,582 
70,062 

33,360 
42,212 
22,852 
70,162 
20,664 

13,298 
15,114 
18,637 
25.582 
31,925 

1 1 ,050 
25,552 
25,020 
35,598 
10,257 

34,524 
11.170 
31.744 
10,518 
34,504 

13,629 

10,287 
1 4. 1 3 1 
29.807 
16,028 

44,881 
19,018 
19,761 
74,809 
11,552 

26,937 
15,114 
12,455 
16,640 
13,388 

29,466 

18,828 
15,526 
11,963 
18,517 

11,391 
39,080 
14,683 
21,598 
17,784 

1 4,6 1 3 
15,225 
1 2,. 304 
19,149 
27,439 

14.081 
21.016 
14.522 



63 



13 



658 
3 

4 
87 

11 
20 
24 
163 
34 



46 

17 
26 
17 

5 
9 
6 
9 
6 

16 
6 
16 

2 
419 

16 

7 



10 

22 

14 

348 

3 

131 

8 
6 
1 
1 

16 
1 
2 



5 

16 
15 
6 
3 

9 

71 

10 

1 

297 

3 
56 
14 



1,561 
8 
11 

217 

30 

21 

6 

202 

14 

13 
21 
38 
62 
46 

5 
28 
13 
I I 



79 
14 
59 
12 
218 

42 

36 

3 

10 

7 

40 
15 
41 
741 
11 



363 
12 



9 

5 
21 

8 
10 

12 
36 
23 

12 

II 

57 

12 

7 

294 

10 

35 
8 



1,576 
137 
119 

1,200 

239 
244 

89 
1,075 

90 

119 
222 
184 
211 
393 

63 

76 

126 

114 

62 

502 

76 

215 

116 

1,397 

103 
112 
48 
80 

75 

249 

68 

320 

1.570 
62 

837 
103 
62 
29 
66 

110 

47 
188 
102 
104 

146 

207 

254 

328 

97 

216 

465 

53 

25 

556 

38 
130 
114 



1.225 
497 
559 

3,122 

1,017 

929 

336 

3,299 

1,219 

1.108 

691 

831 

1,157 

1,431 

253 
675 
537 
631 
312 

1,265 
977 
948 

392 
2,122 

393 
250 
221 
613 
203 

1,010 
808 
969 

4,647 
170 

1,822 
321 
173 
173 
242 

1.115 
455 
412 
349 
478 

474 
1.657 
900 
682 
412 

524 
164 
889 
142 
1.327 

356 
926 
499 



1.150 

23 

25 

224 

79 
122 
146 
321 
190 

87 

186 

105 

29 

34 

4 
53 
25 
39 

35 

86 
36 
38 
34 
844 

86 
8 
19 
33 
11 



91 

16 

712 

30 

189 

38 

20 

II 

7 

275 
31 
21 
49 
32 

31 

169 

32 

17 
29 

37 
51 

121 
12 

481 

20 

397 

91 




82 



Fable 6.— Number of Offenses Known to the I'olice, Cities and lowns 10,00(1 and o»er in Population, 1989— Continued 



Cil-i b> Stale 



ILLINOIS'— Continued 



Morton 

Morion Grove . 

Mount Prospect 
Mount Vernon 

Mundolein 

Napcrville 

Nilcs 



Normal 

Norndge 

Nonhbrook ... 
North Chicago 
Northlake 



Oak Forest 
Oak Lawn 
Oak Park ... 
OFallon ... 
Orland Park 



Ottawa 

Palatine 

Palos Heights 
Palos Hills ... 
Park Forest .. 

Park Ridge .. 

Pekin 

Peoria 

Peru 

Ponliac 



Prospect Heights 

Ouincy 

Rantoul 

Richton Park ... 
Riverdale 



Ri\ er Forest 

Rock Falls 

Rockford 

Rolling Meadows 
Romeoville 



Roselle 

Round Lake Beach 

St Charles 

Sauk Village 

Schaumburg 



Schiller Park . 

Skokie 

South Holland 
SpringHeld — 
Sterling 



Streamwood 

Strealor 

Summit 

Taylorville . 
Tinlev Park 



Urbana 

Vernon Hills 
Villa Park .. 
Warrenvilte 
Waukegan 



IVipulalion 



Crime 
Index 
lolal 



I.V769 
2.1,605 

S.V.'li 
lh.<n\ 
1 8..U6 
79,907 
28.6.1,1 

.19,73-1 
15,275 
,11.854 
41,228 
12,294 

26,064 
57,687 
5.1.844 
15,014 
32,105 

17,663 
35,678 
10,979 
18,226 
25,812 

36,852 
31,363 
109,955 
10,126 
11,060 

14,211 
39.211 
20,233 
10,478 

12.254 

1 1 .43 1 
10.638 
1 34,985 
21.869 
14.934 

20.594 
1 5,064 
20,815 
10,769 
64,923 

11,120 
58,791 
23,103 
99,860 
15,857 

26,576 
13,880 
10,427 
11.531 
31.463 

37,545 
12,515 
21,668 
10,899 
72.872 



Modiried" 
Crime 
Index 
lolal 



Murder 
and non- 
negligenl 

man- 
slaughtci 



Forcible 
rajM: 



12 

20 

4 

7 

13 

6 

7 

6 

113 

4 

17 

30 

308 

7 
7 



Aggra- 
valcd 
assaull 



19 
6 

5 
2 

37 

33 

9 

395 

7 



38 
26 

224 
8 

4 

3 

28 



27 
I 

13 
1 

■)■)•> 



Burglan 



1 I 
10 

61 
26 
20 
45 
19 

35 

9 

8 

86 

15 

14 
40 
72 
6 
17 

10 

24 
5 
2 

33 



42 
935 

5 
7 

37 
106 
21 
15 
69 



22 

743 

42 

32 

10 
1 1 
23 
23 
92 

14 
36 
13 
707 
19 

24 
5 

10 
5 

21 

125 
8 

30 

5 

204 



Larcenv- 
ihell 



71 
120 

274 
345 
76 
392 
140 

312 

68 

89 
819 

85 

156 
191 
863 
103 
109 

79 
198 
23 
72 
182 

190 

228 

2,480 

44 

57 

167 

341 

64 

75 

180 

107 

85 

3,272 

213 

126 

97 
86 
88 
89 

575 

129 
360 
135 
1.794 
138 

201 
72 
69 
43 
86 

380 
113 
201 
31 
830 



Molor 
vehicle 
I hell 



244 
586 

1,338 

744 

659 
1.659 

867 

1,044 

684 

705 
1,460 

265 

701 
1,506 
2.471 

306 
1,126 

485 
1 ,093 
151 
207 
719 

613 
924 
5.477 
325 
334 

463 
1.538 
472 
280 
409 

267 
325 
7,354 
743 
473 

3,10 
649 
791 
371 
2,245 

465 
1,540 

494 
4,975 

503 

714 
60 
173 
151 
950 

1,355 
704 
845 
166 

3,198 



9 
62 

109 
42 
27 
52 

158 

34 

123 
42 
174 

74 

122 
194 
344 
21 
115 

14 
77 
II 
31 
118 

86 

41 

322 



3 

12 

I 

6 

I 

12 



4 
9 

4 
II 
58 



9 


1 


81 


3 


31 


18 


12 


4 


49 


1 


222 


4 


62 


4 


II 


5 


466 


35 


53 


2 


34 


5 


16 


2 


30 


1 


II 


6 


30 


3 


285 


II 


71 


1 


213 


13 


160 


5 


223 


67 


16 


1 


25 


1 


12 




50 


1 
1 


78 


8 


55 


7 


18 


1 


104 


9 


5 


1 


211 


18 



Sec footnote at end of table. 



83 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1989 — Continued 



City by State 



ILLINOIS'— ConliiiiKil 

Westchester 

West Chicago 

Western Springs 

Westmotit 

Wheatoti 

Wheelitig 

Wilmette 

Wintietka 

Wood Dale 

Woodridge 

Wood River 

Woodstock 

Zion 

INDIANA 

Anderson 

Bedford 

Beech Grove 

Bloomington 

Caritiel 

Coluinbus 

Connersville 

Crawfordsville 

Crown Point 

East Chicago 

Elkhart 

Evansville 

Fort Wayne 

Gary 

Goshen 

Greenfield 

Greenwood 

Griffith 

Hammond 

Highland 

Hobart 

Huntington 

Indianapolis 

Jeffersonville 

Kokomo 

Lafayette 

La Porte 

Lawrence 

Lebanon 

Logansport 

Marion 

Martinsville 

Michigan City 

Mishawaka 

Muncie 

Munslcr 

New Albany 

New Castle 

Noblesville 

Plainfield 

Portage 

Richmond 

See footnote at end of table. 



Population 



17,031 
15,425 
12,294 
20,785 
49,006 

28,492 
26,806 
12,174 
11,632 
25,813 

11,702 
13,107 
19,038 



61,113 
13,879 
13,346 
55,205 

23,944 
30,949 
16,335 
13.960 
17,291 

36,223 
45,543 
129,041 
180,975 
133,318 

22,414 
13,014 
24,216 
16,325 
85,178 

24,005 
22,364 
17,563 
484,056 
21,347 

44.235 

44,577 
21,871 
27,406 
11,585 

1 7,402 
35,207 
12,531 
35,559 
42,192 

73,795 
20,321 
37,783 
17,925 
16,828 

1 1 ,06 1 

28.765 
39,454 



Crime 
Index 
total 



3,719 
734 
570 

2,625 

743 
2,480 
913 
740 
489 

2,716 

4,021 

7,485 

16,416 

10.223 

1.325 
582 

1.360 
852 

5,715 

947 

845 

606 

3 1 ,498 

1,251 

2,757 

2,561 

1,473 

878 

35! 

1,087 
2,377 
262 
2,348 
3,271 

4,092 
739 

2,245 
865 
640 

274 
1,277 
2,008 



Modiried* 
Crime 
Index 
lota! 



737 

571 

2,635 



2,486 
925 
742 
493 

2,716 

4,049 

7,551 

16,547 

10,749 

1,334 
582 

1,363 
852 

5,799 

950 

846 

609 

31,770 

1.254 

2.788 

2.570 

1,477 

880 

352 

1,087 
2,377 

2,348 
3,303 

4.116 

741 

2,296 

870 

641 



1,280 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rai>e 



3 

1 
483 



Robber> 



98 
106 
121 
545 

477 

4 
4 

12 

10 

215 

9 

13 

1 

1,806 

19 

35 
15 

5 
35 

1 

5 
41 

■) 

66 
51 

90 

5 

28 



Aggra- 
vated 
assault 



3 
9 
4 
20 
6 

36 

4 

3 

12 

41 

21 
20 
179 



283 
20 
10 

341 

32 
106 
40 
91 
62 

89 

30 

580 

408 

1.318 

36 

4 

10 

53 

608 

20 
28 
21 
3.529 
117 



10 

343 

II 

48 

133 

81 
50 
163 
32 
56 

4 

127 

15 



Burglary 



103 

83 

64 

158 

252 

115 

172 

62 

89 

208 

98 

47 
279 



717 
100 
104 
340 

63 
436 
160 
94 
64 

664 

660 

1.652 

3.107 

2,948 

135 
91 

143 
63 

877 

83 

115 

104 

8,520 

253 

511 
504 
131 
245 
68 

144 
380 
31 
581 
468 

988 
48 
334 
197 
144 

53 
195 
299 



Larceny- 
theft 



317 
513 
173 
466 



663 
475 
263 
269 

737 

511 
381 
882 



2,419 
565 
404 

1,755 

602 

1,832 
674 
523 
312 

1,294 
2,993 
4.769 
11,057 
2,862 

1,087 
455 

1,132 
609 

2,711 

669 
587 
465 
13,122 
790 

1,861 

1,902 

1,265 

490 

253 

904 

1,522 

206 

1,437 

2,402 

2,573 
571 

1,635 
585 
420 

199 

810 

1,554 



Motor 
vehicle 
theft 



43 
51 
5 
39 
14 

45 
17 
7 
38 
84 

25 
10 
50 



183 
39 
43 

160 

41 
74 
32 
24 
42 

541 

199 

326 

1,188 

2,478 

60 

22 

56 

116 

1,236 

166 

98 

14 

3,997 

63 

113 
103 
64 
71 
23 

23 

82 

12 

192 

198 

328 
62 
77 
39 
17 

13 
130 
107 



84 



Fable 6.— Number of Offenses Kno«n lo the Police. Cities and Towns 10,000 and over in Population. 1989— Continued 



Cil> b» Slalc 



INDIANA— Continued 



Scherervillc 
Speedway 



Terrc Haulc .. 

Valparaiso 

Wahash 

Warsaw 

West Lafayette 



IOWA 



Ames 

Ankeny ... 
Beiiendorf 
Boone 



Burlington — 
Cedar Falls ... 
Cedar Rapids . 

Clinton 

Council Bluffs 



Da\enport ... 
Des Moines . 

Dubuque 

Fon Dodge .. 
Fon Madison 



Indianola — 
Iowa City ... 

Keokuk 

Marion 

Marshalltown 



Mason City 
Muscatine 

Newton 

Oskaloosa . . 
Oltumwa ... 



Sioux City 

Spencer 

Urbandale 

Waterloo 

West Des Moines 



KANSAS 



Arkansas City 

Atchison 

Coffeyville . . . 
Derby 



Dodge City . 
El Dorado .. 
Emporia — 
Garden City 
Great Bend . 



Hays 

Hutchinson 
Independence 
Junction City 
Kansas City 



Population 



Crime 
Index 
lolal 



Lawrence . . . 
Leavenworth 
Leawood — 



15.751 
11,575 

56.695 

22,767 

i:.iis 

11. .113 

: 1,669 



43.840 
1 7,406 
28.258 
12.205 

27.867 
32,526 
110.526 
29,691 
56,816 

97,339 
193,305 
59,481 
26,354 
12,075 

12,415 
50.874 
12.576 
21.063 
25,542 

29.500 
23.588 
14,920 
10,84, 
24.380 

79.402 
10.622 
21.614 
68.189 
26,474 



13.182 
11.238 
13,897 
14,098 

19,566 
11.007 
24.470 
23,504 
16,032 

1 7,029 
41,136 
10,483 
20,432 
161,756 

59.877 
38,931 
18.932 



Modified* 
Crime 
Index 
total 



550 
919 

3.443 

1 ,058 

316 

667 

1,018 



1,527 
666 

1,238 
482 

1,881 
1.244 
7,505 
2,229 
5,166 

8,560 

17,637 

2,817 

2,048 

584 

388 

2,951 

784 

596 

1,463 

1,986 

1,044 

530 

497 

1.503 

7.256 

531 

960 

5,182 

1,721 



970 
498 
963 
410 

1,663 

499 

1,726 

2,230 

853 

696 

3,017 

760 

2,110 

17.393 

3,614 

1.956 

475 



550 
920 

3,519 

1,063 

318 

669 

1,022 



Murder 
and non- 
negligcnl 

man- 
slaughter 



1,535 
666 

1,243 
482 

1,881 
1.248 
7,548 
2,236 
5,194 

8,642 

17.864 

2.843 

2,065 

584 

389 

3,000 

790 

596 

1,470 

1,995 

1,046 

530 

500 

1,506 

7,284 

531 

964 

5,211 

1,722 



2,253 



17,486 



Forcible 
rape 



10 



48 



4 
1 
5 
1 

14 
7 

14 

21 

4 

2 
20 

3 
20 

147 

22 
12 



20 



Aggra- 
vated 
assault 



100 
12 
66 

168 

355 

12 

19 

3 



4 
6 
5 

10 
I 
9 

10 
3 

I 

24 

5 

17 
788 

33 
21 

4 



Burglan 



4 

10 

227 

78 

21 

1 

17 



30 

28 

38 

9 

133 
18 

131 
36 

249 

689 

840 

.302 

89 

13 

32 

207 

20 

16 

131 

134 

14 

6 

49 

74 

340 
11 
50 

172 
35 



206 

24 

184 

1,379 

128 

116 

17 



l-,irccnv- 
llien 



57 


387 


98 


714 


980 


1.815 


127 


797 


31 


243 


86 


554 


141 


820 



248 
78 

256 
39 

351 
192 

1,218 
404 

1,188 

1,914 

2,751 

462 

425 

62 

56 
537 
201 

99 
324 

302 
110 
72 
100 
383 

1,897 
45 

117 
1,489 

269 



336 

95 

270 

87 

279 
88 
290 
470 
160 

119 
794 
240 
356 
4,513 

720 
382 
150 



Motor 
vehicle 
ihcll 



1,186 
541 
889 
415 

1,320 
998 
5,689 
1,700 
3,302 

5,4.30 

12,863 

1,938 

1,401 

493 

282 
2,071 
5.30 
46, 
948 

1,486 
857 
429 
329 
969 

4,545 

465 

749 

3,257 

1,364 



549 
345 
602 
287 

1,194 

367 

1,280 

1,488 

620 

556 
1,862 

472 
1,463 
8,280 

2,580 

1,376 

293 



96 




72 


1 


326 


76 


48 


5 


17 


2 


22 


2 


29 


4 



43 


8 


n 




47 


5 


18 




64 




26 


4 


355 


43 


72 


7 


334 


28 


276 


82 


740 


227 


96 


26 


108 


17 


13 




13 


1 


86 


49 


30 


6 


9 




49 


7 


50 


9 


51 


2 


""l 




15 


3 


64 


3 


331 


28 


9 




28 


4 


159 


29 


25 


1 



14 
20 

7 

72 
22 
54 
83 
17 

10 

109 

16 

66 

2,242 

131 
49 
10 



23 



93 



85 



Table 6.— Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1989— Continued 



Cily by Stale 



KANSAS— Continued 



Lcnexa 
Liberal 



Manhallan 
McPherson 
Merriam 
Newton . . . 
Olalhe .... 



Ottawa 

Overland Park 

Parsons 

Pittsburg 

Prairie Village 



Salina .. 
Shawnee 
Topeka . 
Wichita 
Wmfield 



KENTUCKY 



.Ashland 

Bowling Green 
Campbellsville 
Covington 



Danville 

Eliza bethtown 

Erianger 

Fort Thomas 
Frankfort 



Georgetown . . 

Glasgow 

Henderson ... 
Hopkinsville . 
Independence 

Jeffersontown 

Lexington 

Louisville 

Madisonville . 
Middlesboro 



Murray 

Newport 

Nicholasville 
Owensboro . . 
Paducah 



RadclilT 

Richmond ., 
St. Matthews 

Shivcly 

Somerset 



Winchester 



LOUISIANA 



Alexandria . . 
Baton Rouge 

Bogalusa 

Bossier City 

Crowley 



Population 



34.853 
16,283 

33,161 
11,913 
12,568 
1 6.465 
59,112 

10,785 
107,609 
12,648 
18,096 
23,977 

43,543 

32,466 

123,218 

297,391 

11,389 



25,985 
42,011 
10,140 
45,364 

13,493 
16,616 
14,624 
15,585 
27.376 

12,922 
13,473 
25,665 
29,709 
10,310 

20,250 

225,918 

282,153 

16,416 

11,521 

13,773 
19,499 
15,455 
57,395 
28,898 

18,978 
25,074 
13,923 
14,224 
12,122 

1 7,046 



49,886 

233,893 
16,821 
55,483 

15,350 



f rime 
Index 
total 



1,498 
1,518 

1,684 
302 
913 
629 

3.541 

458 
5.430 

547 
1.471 

494 

2.274 

1.492 

11,808 

25,986 

447 



1,096 

3,306 

110 

3,729 

770 

1,087 

692 

150 

1,455 

644 

263 

1.662 

1.764 

203 

637 

14,983 

18,356 

1,254 

630 

305 
1,364 

495 
2,926 
2,151 

747 
1,014 
889 
726 
740 

716 



5.731 

27.480 

959 

4,491 

573 



ModiHed* 
Crime 
Index 
total 



3,570 



1,514 
11,873 



1,104 



3,729 

770 

1,093 

692 

153 



644 
264 



204 

637 
15,083 
18,511 

631 

305 

495 
2,937 



Murder 
and non- 
negligent 

man- 
slaughter 



889 

726 



716 



5,761 

27,611 

960 

4,509 

573 



Forcible 
rape 



Robbery 



10 

9 

62 

237 



104 

122 

7 

4 



27 
113 



Aggra- 
vated 
assaull 



259 

931 

1 



11 
31 

I 

105 

6 
17 
4 



26 

6 

1 

14 

59 

1 

19 

364 

1,195 

4 



82 

730 

24 

80 



30 
49 

75 
1 

5, 

38 

217 

17 
160 
38 
42 
II 

73 

66 

648 

960 

5 



43 
238 

10 
576 

151 

63 

86 

9 

149 

152 
10 
95 

136 
6 

27 

907 

1,209 

112 

23 

31 
99 
66 
41 
138 



122 
14 
43 
52 



36 



836 

3,0.30 

85 

.303 



263 

474 

202 

23 
175 
119 
567 

117 
720 
126 
309 
170 

350 

331 

3,047 

6,151 

92 



326 

777 

28 

998 

236 

220 

97 

35 

287 

87 

53 

237 

439 

60 

76 

3.354 

5.180 

195 

96 

73 
376 

90 
522 
460 

186 
204 
159 
195 

85 

85 



1.173 

5.953 

205 

827 

230 



Larcenv- 
thcfl ' 



1.123 
909 

1,331 
250 
619 
447 

2,550 

316 
4,101 

371 
L052 

280 

1,784 

987 

7,311 

15,876 

335 



670 

2,088 

60 

1,828 

341 
752 
482 
98 
921 

378 

185 

1,257 

1,060 

122 



Motor 
vehicle 
theft 



468 


9,458 


8,608 


877 


458 


183 


774 


303 


2,210 


1,400 


480 


597 


651 


366 


580 


549 


3,414 


1 5,5 1 6 


609 


2,949 


318 



56 

71 

57 

6 

55 

17 

167 

6 

356 

10 

55 

26 

49 

71 

470 

1,802 

II 



35 
145 

10 
185 

31 
31 
23 
6 
65 

19 
II 
49 

55 
14 

43 

785 

2,010 

59 

47 



1 1 




75 




-■s 




110 


11 


101 




44 




77 




44 




69 




21 




38 




187 


30 


.097 


131 


30 


1 


310 


18 


11 





86 



Table 6.— Number 



of Offenses Known «o the Police. Cities and Towns lO.OOO and over in Population. 1989— Continued 



Cily by Stale 



LOUISIANA— Continued 



Gonzales 
iGretna .. 
Harahan 
Houma . . 



Jennings — 
Lafayelle — 
Lake Charles 
Leesy lUe — 
Minden 



Monroe 

Morgan Cily 
New Iberia 
Ney^ Orleans 
Ruslon 



Shreveport 
Weslwego 



MAINE 



Auburn 
Augusta 
Bangor 
Balh .. 



Biddeford 
Brunsyyick 
Gorham .. 
Lewislon . 
Lisbon . . 



Portland ... 
Presque Isle 

Saco 

Sanford — 
Scarborough 



South Portland 

Waieryille 

Weslbrook 

Windham 

York 



NL\RVLAND 



Aberdeen 
Annapolis 
Baltimore 
Bel Air .. 



Cambridge . 

Cumberland 

Frederick 

Greenbell 

Hagerstown 



Laurel 

Salisbury 

Takoma ParMMontgomery County) 
Takoma Park( Prince Georges County) 
Westminster 



MASSACHUSETTS 



Hopulalion 



Crime 
Index 
lotal 



Acton — 
Amesbury 



io.:.w 

20.1 1 2 
10.796 
.17.4.U 

12.019 
8.'i.725 
72.056 
13.560 
14.711 

54.201 
14.445 
.14,547 
528.589 
21.056 

216.734 
11.134 



23.664 
21.313 
31.163 
10.834 

21,100 
18.830 
11,553 
39,027 
10,449 

62,103 
10,560 
15,475 
20,228 
13,458 

22,833 
17,380 
15,485 
14,036 
10,813 



12,411 

34,470 

763.138 

10.319 

11,416 
23,481 
.36,339 
16,270 
35,222 

12,898 
18,698 
9,933 
3,981 
10,847 



17.479 
14.739 



Modified* 
("rime 
Index 
total 



237 
1,739 

465 
2,316 

512 

7,366 

4,843 

76 

767 

5,551 

773 

1,060 

59,534 

1,274 

25,099 
474 



985 
1 , 1 30 
1,936 

466 

1,124 
547 
206 

2.805 
192 

7.266 
291 
764 
797 
572 

1.500 
1.066 

753 
443 

275 



792 

2.515 

71,373 

454 

1,032 
1,353 
2,503 
1,078 
1.738 

1,160 

2,190 

526 

423 

950 



349 

244 



Murder 
and non- 
negligent 

man- 
slaughter 



237 
1,742 

465 
2,334 

513 

7,391 

4,853 

764 

768 

5,551 
774 



1,274 



25,255 
477 



991 

1,134 

1,947 

466 

1,153 
548 
207 

2,828 
195 

7,358 
291 

767 
797 

572 

1,501 
1.075 
76 
449 

277 



802 

2,559 

72,021 

455 

1,041 
1,353 
2,511 

1,764 



:,205 



963 



349 
244 



Forcible 
rape 



251 
4 



1 

3 
262 



Robbery 



388 
4 



119 

2 



10 



541 
4 



Aggra- 
\ated 
assault 



3 
11(1 



63 



210 

111 

5 

13 

95 
19 
30 

5,449 

15 

837 
11 



13 



56 



107 



31 

118 

7.966 

6 

26 
10 
89 
38 
36 

54 
77 
29 
29 
10 



Burglan 



121 

19 

189 

69 
511 
.307 

72 
128 

781 

22 

2 

4.115 
136 

1.339 
29 



24 



307 

1 

1 

19 

7 

II 
20 
9 
13 
11 



62 

215 

6,849 

36 

102 
94 

315 
37 

163 

59 

282 

31 

10 

35 



Larccnx- 
theli 



Motor 
vehicle 
then 



58 
466 
103 
521 

80 

1.512 

1.155 

135 

252 

1.297 

228 

257 

12.925 

2.30 

6.404 
113 



224 
223 
318 

47 

245 
85 
56 

695 
26 

1.708 

53 

155 

140 

110 

144 
133 
159 
98 

77 



230 

582 

14,315 

54 

246 
306 
424 
131 
426 

242 
442 
135 
73 
162 



166 

888 

316 

1,462 

351 

4.860 

2.931 

518 

349 

3,166 

472 

723 

24.935 

860 

15,458 
269 



688 

850 

1,498 

397 

768 
437 
1.30 
1,882 
151 

4,528 
229 
569 
585 
414 

1,264 
856 
517 
304 
173 



410 

1,461 

33,267 

339 

633 
907 

1,516 
614 

1,002 

635 
1,262 
255 
251 
712 



252 
93 



7 

139 

21 

62 

6 

219 

302 

30 

16 

169 

24 

46 

11.471 

25 

891 
49 



11 

102 

9 

575 

7 

32 

47 

33 

72 
47 
61 
25 
13 



48 

108 

8,173 

15 

14 

32 

143 

251 

102 

160 
104 

72 
58 
29 



1 
25 
10 



156 
3 



6 
4 
11 



29 
1 



23 
3 



92 
3 



10 

44 

648 

1 



13 



) 



87 



Table 6.— Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1989— Continued 



City by Stale 



MASSACHUSETTS— Continued 



Andover 
Arlington 



Athol 

Auburn ... 
Bedford ... 
Bellingham 
Belmont .. 



Boston 

Bourne 

Braintree ... 

Bndgewater 

Brookline 



Population 



Crime 
Index 
total 



27,770 
43.985 

n.315 
14.749 
12.711 
14,899 
24,879 

580,095 
16,345 
34.507 
19.327 
51,886 

90.650 
11.435 
32.559 
12,590 
24,387 

25,772 
23,825 
13.965 
25,592 
14,136 

18,945 

89,275 
39,055 
63,392 
19,026 

28,604 
13,172 
10,251 
50,842 
19,819 

1 3,966 
13.323 
17.911 
11,827 
61,745 

10.090 

36.806 
28,754 
16,395 
19,216 

11,355 
53.704 
19,467 
31,706 
22,319 

10,271 
56.806 
28.684 
40.641 
17,710 

24.718 
11.988 
25,702 
27,680 
94,706 



1,162 
836 

355 
806 
293 
319 
428 

70,003 

925 

1,806 

370 

3,108 

7,320 
156 
963 
273 

1.528 

1,224 
966 
797 
936 
216 

316 
7,192 
2,332 
2,670 

892 

958 

39 

371 

3.047 

596 

141 

90 

305 

370 

7,355 

125 
1,652 
410 
389 
269 

209 
2.369 
407 
447 
639 

135 
2.075 

566 
1.483 

724 

321 
129 
693 
560 

7.825 



Modified" 
Crime 
Index 
total 



1.162 
837 

363 
809 
297 
380 
429 



928 
1.824 

370 
3.112 

7,340 
156 
963 
273 

1.528 

1.246 
966 
799 
936 
216 

316 

7,388 

2.334 

2,680 

905 

966 
39 

375 

3.047 

597 

143 

90 

312 

373 

7.355 

127 
1,665 
412 
389 
269 

211 
2,370 
407 
451 
641 

135 
2.095 

567 
1.483 

725 

322 
129 
697 
560 
8.014 



Murder 
and non- 
negligeni 

man- 
slaughter 



Forcible 
rape 



Robbery 



483 

1 

10 

5 

II 

24 
1 
3 
5 
3 

6 
1 

4 
1 
I 

4 
42 
33 
27 
12 



14 



5,866 

9 

32 

3 

129 

460 



Aggra- 
vated 
assault 



4 
1 

20 

26 

19 

5 

1 

2 

5 

158 

58 

19 

12 



3 

2 

239 



26 

2 
1 
3 

1 
58 

6 
13 

2 

1 
38 

5 

24 

3 

7 

1 

15 

3 
373 



25 
14 

13 
28 
20 
28 
17 

6.471 
61 

141 
31 

160 

365 

6 

21 

70 

38 

38 
17 
30 
59 
I 

19 
385 
192 
487 
117 

200 

2 

22 

452 

3 

11 
3 

25 

22 

389 

7 

168 

9 

11 

20 

8 

408 

25 

27 

19 

13 
258 

23 
104 

63 



Burglar.' 



49 

27 
517 



278 
190 

95 
152 

80 
105 
118 

9,882 

248 

261 

73 

836 

1.621 

73 

168 

50 

209 

281 
148 
327 
264 
70 

79 

1,901 

507 

506 

224 

271 

17 

94 

796 

141 

45 
24 
89 
88 
1,625 

58 

332 

99 

64 



72 
514 
118 
106 
122 

32 
353 
111 
174 
111 

78 

52 

157 

112 

2,205 



Larceny- 
theft 



693 
484 

221 
507 
152 
168 
243 

30.794 

547 

859 

207 

1.512 

3,691 

35 

632 

123 

996 

504 
486 
405 
437 
123 

134 
3.501 
1,340 
1,391 

461 

379 

16 

233 

1,046 

414 

76 

53 

158 

231 

2.218 

53 
952 
276 
303 
140 

99 
903 
238 
2.36 
434 

77 

1.045 

372 

816 

473 

154 

48 

383 

379 

2.867 



Motor 
vehicle 
theft 



161 
129 

20 
106 
36 
13 
42 

16,408 
58 

503 
51 

457 

1,153 

41 

135 

24 

261 

268 
295 

25 
174 

19 

75 

1.203 

200 

239 

66 

99 

4 

15 

705 

34 



7 

29 

27 

2,854 



7 


2 


166 


13 


24 


2 


10 




23 




29 


2 


470 


1 


20 




63 


4 


59 


2 


12 




375 


20 


53 


1 


359 




73 


1 


80 


1 


17 




86 


4 


35 




1,796 


189 



Table 6.— Number of Offenses Known to the Police, Cities and lowns 10.(100 and o>er in Population. 1989— Continued 



MASSACHISKITS— Continued 



Newton 

Nonh Adams ... 
Nonh Andover . 
Nonh Aitlcboro 
Nonhhoro 



Northbridge ... 
Nonh Reading 

Nonon 

Norwood 

Oxford 



Pcabody 
Pembroke 
Peppcrell . 
Quincy ... 
Reading . 



Saugus ... 
Sciluate . . 
Sharon — 
Somerset . 
Somer^ille 



Spencer . . 

Sprmgfield 
Sloneham 
Sloughton 
Sudbury .. 



Swampscott 
Swansea — 
Taunton .. 
Walpole ... 
Waltham .. 



Wareham 
VS'aicnown 
Webster . . . 
Westboro 
Westford . 



Weston — 
Westwood 
Wilbraham , 
Wilmington 
Winchester 



Wobum . . 
Yarmouth 



Adrian 

Albion — 
Allen Park 
Alpena 



MICHIGAN 



Ann Arbor 

Auburn Hills 
Battle Creek ... 

Bay City 

Benton Harbor 



Population 



Crime 
Indcv 
lolal 



Benton Township 

Berkely 

Berrien Springs-Oronoko 
Beverly Hills 



82.558 
16.757 

2.^.554 
11.656 

12.891 
12.239 
13.915 
28.132 
12.901 

47.037 
15.170 
10.472 
82,970 
22.680 

26.043 
16.696 
15.431 
17,761 
70,350 

12,058 
150,920 
22,851 
27,800 
14,538 

13,313 
15,712 
46,163 
20,522 
56,665 

21.204 
32,429 
15,622 
13,423 
16,214 

10,642 
12,650 
12,821 
18.142 
20.100 

37.6.30 
20,100 



20,674 
10.498 
30,640 
11. .39 1 

108.830 
16,399 

55.258 
39,863 
14.602 

17,583 
17,432 
11.862 
10.738 



ModincJ" 
trimc 
Index 
tolal 



2.519 

787 

484 
1,347 

172 

231 
282 
311 

773 
275 

2,447 
428 

3,414 
209 

1,808 
393 
220 
571 

3,127 

164 
12,253 
676 
61 
163 

503 
754 

1,858 
429 

2,266 

1,635 

1,558 

308 

443 

329 

136 

317 
327 
605 
286 

I,. 304 
1,336 



1,263 
5.58 

1,185 
598 

8,641 
1,057 
5,939 
2,298 
2,903 

2.749 
506 
275 
283 



Murder 
and non* 
negligent 

man- 
slaughter 



2,526 

796 

484 
1,347 

174 

234 
283 
313 
790 

277 

2,453 
428 

■>■>■> 

3,473 
209 

1 ,843 
393 
220 
577 

3,165 

164 

676 
620 
163 

505 
815 

1,861 
437 

2,266 

1,635 

1,558 

308 

445 

334 

136 
323 
327 
607 
286 

1,330 
1,345 



1,272 
558 

1,186 
606 

8,667 
1,063 
5,980 
2,311 
2,936 

2,762 
508 
278 
287 



Forcible 
rape 



24 



145 



Aggra- 
vated 
assault 



Bur^lar> 



3 
139 



892 
10 
12 



20 
I 

152 
31 

252 
34 
69 

50 
5 



64 

118 

8 

160 

8 

29 
17 
23 
41 



75 
28 
42 
263 
19 

98 

35 

8 

25 

267 



1,856 

6 

33 

4 

20 
41 
156 
36 
41 



134 

26 

21 

6 



28 
28 
38 
13 

447 
112 
492 
103 

627 

170 
9 
19 
14 



Larcenv 
liieft 



597 
177 

66 
231 

S3 

49 

83 

77 
114 
112 

468 
83 
49 

793 
69 

299 
118 
87 
142 
748 

47 
3,399 
127 
81 
40 

164 
126 
541 
71 
534 

431 
160 
112 
64 
102 

42 
54 
66 
183 

78 

158 
419 



145 

136 

232 

79 

1,503 
236 

1,453 
480 
911 

560 
74 
51 
41 



1,537 

436 

338 

790 

94 

124 
161 
166 
407 
117 

1.454 
281 
113 

1,602 
9, 

982 
208 
106 
345 
1,126 

89 

4,2 1 3 

392 

367 

102 

273 
360 
766 
260 
1,420 

1 ,007 

1,050 

131 

302 

203 

91 
216 
223 
268 
156 

640 

784 



1,049 
363 
690 
481 

6,066 
517 
3,391 
1,567 
1,132 

1.835 
371 
194 
197 



290 
38 
69 

150 
14 

16 

19 

42 

198 



407 
33 
18 

653 
26 

395 
30 
18 
54 

838 

26 

1,741 

141 

123 

13 

36 

223 

337 

53 

251 

85 
190 
24 
55 
17 

3 
26 
24 

72 
42 

412 

52 



32 

14 

199 

17 

416 
149 
297 
71 
118 

105 

45 

6 

24 



3 
I 

2 
17 



59 



35 



6 

38 



2 

61 

3 



26 
6 
41 
13 
33 

13 
2 
3 
4 



89 



Table 6.-Nuinber of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1 989-Continued 



Cily by State 



MICHIGAN— Continued 



Big Rapids 



Birmingham 

Blackman Township .. 
Bloomfield Township 
Bridgeport Township .. 
Brownslown Township 



Buena Vista Charter Township 

Burton 

Cadillac 

Canton Township 

Chesterfield Township 



Clawson 

Clio-Vienna 

Davison Township 

Dearborn 

Dearborn Heights 



Detroit 

De Witt Township 

East Detroit 

East Grand Rapids 
East Lansing 



Ecorse 

EmmctI Township 

Escanaba 

Farmington 

Farmington Hills . 



Ferndalc 

Flint 

Flint Township 

Eraser 

Garden City ... 



Genesee Township 

Grand Blanc Township 

Grand Haven 

Grand Rapids 

Green Oak Township .. 



Grosse Pointe Park 
Cirosse Pointe Woods 
Hamburg Township .. 
Hampton Township . . 
Hamtramck 



Harper Woods 
Hazel Park ... 
Highland Park 

Holland 

Jackson 



Kalamazoo 

Kalamazoo Township 

Kentwood 

Lansing 

Lansing Township 



Lconi Township 
Lincoln Park ... 

Livonia 

Madison Heights 
Marquette 



Population 



C rime 
Index 
total 



13,227 

20.022 
19.931 
44.650 
12.625 
18.115 

10.949 
28.883 
10.528 
64.401 
22.250 

13.779 
15,335 
14.020 
86.490 
61.059 

1 ,039.599 
1 1.421 
34.423 
11.923 
48.243 

12.475 
10.939 
13.850 
10.166 
68.515 

24,538 
142.129 
32,928 
13.659 
32.245 

24.036 
26.254 
12.956 
186.036 
12.575 

14.351 
16.098 
13.057 
10,718 
17,643 

14.161 
20.122 
25.54! 
30.961 

37.775 

76.584 
20.774 
37,213 
125,419 
10,759 

14,201 
42,552 
101.463 
32,868 
21.075 



696 

711 
633 
1.606 
486 
870 

1.173 
2,420 
782 
2,521 
1.007 

443 

970 

528 

7.236 

3.686 

125.687 

309 

2.517 

273 

1,819 

1.119 
582 
664 
519 

3.266 

2.011 

19.680 

2.559 

737 

1,405 

1 ,203 

977 

614 

15,736 

208 

563 
339 
191 
385 
2,561 

2,092 
2,116 
3.490 
1.534 
3.914 

9.082 

961 

1.748 

10.089 

577 

503 
3.346 
4.X62 
2.567 

931 



Modified* 
Crime 
Inde.s 



697 

715 
641 
1.615 
490 
874 

1.1 
2.428 
787 
2.537 
1.008 

445 

972 

532 

7.248 

3.690 

127.218 

309 

2.523 

275 

1.850 

1.137 
586 
665 
519 

3,291 

2,016 

20,006 

2,567 

740 

1.415 



Murder 
and non- 
negligent 

man- 
slaughter 



1,212 

982 

614 

15,848 

210 

564 
339 
192 
386 
2.570 

2.094 
2,122 
3,526 
1.540 
3.945 

9.157 

964 

1,750 

10.171 

579 

504 
3.365 
4.896 
2.580 

936 



Forcible 
rape 



59 



13 



1.424 



20 

13 
6 

2 

1 
20 

13 

201 

21 

5 
8 

14 

10 

2 

297 



30 



17 
70 
27 
80 

I 19 
II 
17 

148 
4 

6 
9 

12 
5 

19 



10 



28 

62 

3 

19 

5 

5 

9 

4 

173 

125 

11.902 

7 

95 



41 

88 
1,051 
76 
12 
34 

32 
11 



Aggra- 
vated 
assault 



590 
I 



141 

45 
76 
313 
13 
96 

325 
26 
33 

360 
23 

6 
90 
93 
55 

3 



16 

15 
25 
25 
34 
59 

117 

123 

13 

70 

7 

20 

63 

12 

288 

185 

I 1 .006 

24 

105 

2 

56 

182 

29 

6 

11 

126 

170 
2.085 
78 
30 
70 

95 

64 

6 

1.409 

11 

12 
6 

20 

5 

208 

32 
179 
605 
102 
611 

1.258 

66 

101 

1.067 

29 

36 
145 
135 
103 



Burglary 



89 
129 

93 
240 
102 
153 

291 
471 
78 
317 
233 

74 
183 
135 
568 
675 

29.031 
70 

333 
31 

246 

309 
153 
121 

77 
672 

353 
5.589 
360 
108 
221 

310 

177 

54 

3.697 

52 

68 
51 
55 
61 
550 

124 
401 
663 
1 19 

781 

1.626 

180 

221 
1 .963 

108 

61 
612 
866 
401 

96 



t-arceny- 
thett 



Motor 
vehicle 
theft 



553 

489 

480 

1.083 

310 

475 

664 
1.547 

652 
1.876 

670 

297 

670 

306 

4.964 

2.046 

43.577 

183 

1.535 

224 

1.291 

392 
357 
514 
395 
2.079 

1.104 

8.044 

1.772 

525 

923 

640 
610 
535 
8.126 
125 

408 
232 
101 
302 
1.073 

1.587 
1.132 
1.167 
1,225 
2,092 

5,231 

621 
1,283 
5,915 

368 

370 
1 .990 
3,055 
1.602 

755 



22 

67 
24 

230 
22 

168 

65 
209 

30 
218 

85 

46 

41 

71 

1.235 

607 

28,123 

22 

426 

14 

178 

160 
24 
19 

27 



12 
554 

302 
309 
648 
48 
253 

511 
57 
93 

620 
45 

23 
499 
699 
399 

.361 



1 

4 
8 
9 
4 

4 

15 
8 
5 

16 
1 



2 
4 
12 
4 



1,531 



6 

2 

31 

18 
4 
1 



328 


25 


283 


5 


2,651 


326 


252 


8 


56 


3 


147 


10 


112 


9 


105 


5 


17 




1,604 


112 


19 


2 


59 


1 


43 




13 


1 



6 
36 

6 
31 

75 
3 
2 

82 
2 

1 
19 
34 
13 

5 



90 



Table 6.— Numbtr of Offenses Known to the Police. Cities and lowns 10.000 and over in Population, 19K9— Continued 



Cit\ b\ Sljlc 



MICHIGAN— Continued 



McMndale 

MidLind 

Monroe 

Mount Clemens 

Mount Morris Township 



Mount Pleasant 

Mundy Township .. 

Muskegon 

Muskegon Heights 
Muskegon Township 



Niles 

Niles Township — 
Northville Township 

Norton Shores 

Novi 



Oak Park 

Oscoda-Ausable Township 

Owosso 

Pittsficld Township 

Pl\niouth 



Plymouth To^vnship 

Portage 

Port Huron 

Redford Township . 
Ri%er Rouge 



Riverview . 
Romulus .. 
Roseville .. 
Royal Oak 
Saginaw . . 



Saginaw Township 
St. Clair Shores .. 
Sault Sic. Mane .. 
Shelby Township . 
Southfield 



Southgate 

Sterling Heights ... 

Sle\ens\ille 

Summit Township 
Sumpter Township 



Taylor 

Thomas Township 

Traverse City 

Trenton 

Trov 



Van Buren Township 

Walker 

Warren 

Waterford Township 
Wavne 



West Bloomfield Township 

Westland 

White Lake Township 

Woodhaven 

Wvandotte 



Population 



Crime 
Index 
total 



Wyoming 
\'psilanti 



I0.'i5'» 
37,14.? 
22JM) 
11.841 

:i.6')S 
I I . I 40 
40.M)5 
14.84.1 
14.522 

12.846 
12.786 
15.616 
22.154 
31.44.1 

31.202 
13.819 
15,736 
11,973 
10.197 

24.899 
40,605 
34.714 
55,308 
11,150 

13.910 
24.076 
50.702 
64,350 
71,907 

37.143 
70.462 
1 3,960 
46.336 
72,128 

30.459 
115.132 
14.883 
21.196 
11.692 

71.897 
11,310 
16.730 
20.945 
68,947 

19.299 
16.359 
145.932 
65.515 
20,865 

51,585 
81,783 
24.387 
11,331 
30.820 

62.634 
23.424 



Modllk-d* 
t rinic 
Indev 
total 



1 .095 
1.426 
1.353 
1.901 
1.569 

923 

492 
4.522 
1.931 

834 

854 
375 
593 
674 
1,675 

2,221 
333 
942 

1.446 
328 

663 
2.41 1 
2.029 
3,371 
1.161 

342 
2.027 
4.984 
3.556 

8.374 

1.705 
3.375 
742 
1.632 
5.994 

1.832 
6.009 

337 
425 
333 

5,117 
183 
919 
494 

4,180 

705 
1.025 
9.623 
4.240 
1.478 

1.240 

4.355 

862 

682 

1.350 

3,708 
2.179 



1 .098 
1.435 
1.35S 
1 ,9 1 6 

1.572 

926 

495 

4.541 

1.934 

835 



Murder 
and non- 
ncgli^cnl 

iiian- 
slaunhlLT 



854 
378 
599 
674 
1.680 

2.230 
335 
947 

1.449 
329 

664 
2.42 
2.050 
3.376 
1.178 

342 
2.038 
4.994 
3.579 
8.543 

1.710 
3,387 
749 
1.653 
6.017 



1.858 

6,056 

337 

425 

339 

5.141 
185 
924 
497 

4.196 

706 
1.029 
9.673 
4.254 
1,490 

1.248 

4,401 

866 

686 

1.355 

3.728 
2.185 



Asjia- 
\aled 
assault 



19 
6 

17 
84 
90 

3 

111 
100 

77 
4 



7 
10 
13 

104 
I 

2 

29 
3 

5 

21 

18 

126 

49 



1 


4 


17 


55 


25 


68 


17 


73 


194 


342 


6 


16 


5 


43 


8 


5 


1 


16 


20 


200 


5 


23 


33 


47 


t 


2 


~> 


2 


4 


5 


27 
I 


122 


5 


9 


1 


■) 


12 


32 


3 


12 


10 


14 


63 


251 


54 


58 


7 


40 


s 


7 


49 


68 


22 


7 


3 


3 


4 


27 


41 


59 


35 


120 



21 
20 
85 
178 
149 

15 

23 

675 

203 



Burglar> 



43 

5 

14 
17 
44 

153 
13 
49 
31 
16 

53 
78 
127 
95 
96 

3 

160 

143 

133 

1.168 

34 
89 
15 
80 
300 

68 

262 

1 

24 
39 

185 

9 

29 

107 

29 

18 

419 

207 
100 

49 

219 

50 

7 
21 

116 
306 



278 
167 
193 
401 
455 

95 

76 

808 

355 

132 

156 
69 
83 
70 

224 

315 

54 

201 

148 

54 



233 
370 
391 
305 

53 

345 

604 

611 

2.416 

208 
706 
106 
322 



197 

922 

49 

87 

96 

782 
34 

112 
73 

613 

112 
141 
1.866 
661 
260 

216 
858 

179 
67 
187 



642 
453 I 



Motor 
vehicle 
Ihell 



594 
1.155 

948 
1 .074 

391 

765 

356 
2.747 
1,200 

683 

600 
285 
446 
541 
1.262 

1.134 
245 
645 

1,079 
235 

447 
1,970 
1,404 
1.974 

507 

262 
1.147 
3.482 
2.312 
3.868 

1.345 
2.100 
551 
1.022 
2.994 

1,252 

3.996 

257 

285 

140 

3.105 
132 
736 
344 

2.843 

416 

803 

4.760 

2.865 

887 

890 
2.493 
562 
498 
961 

2.567 
1.096 



173 

56 

99 
153 

254 

36 
26 
154 
66 
10 

37 
10 
43 
35 
127 

483 

12 

33 
132 

19 

60 

74 

82 

369 

182 

19 
300 
661 
410 
369 

76 

432 

56 

191 

1.587 

307 

746 

9 

25 

49 

893 

7 

28 

52 

571 

133 

33 

2.261 

395 

184 

76 
66 

42 
104 
143 



282 
167 



3 
9 
5 

15 
3 

3 
3 

19 
3 
I 



9 

2 
5 
3 

1 

I 
10 

21 

5 

17 



II 

10 

23 

169 

5 
12 

7 
21 
23 

6 

47 



24 
2 
5 
3 

16 

1 

4 
50 
14 
12 



46 

4 
4 
3 

20 
6 



91 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1989 — Continued 



Cilv bv State 



Population 



Crime 
Index 
total 



Modified" 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Aggra- 
vated 
assault 



Burglar\ 



Larccn\- 
theft 



Motor 
vehicle 
theft 



MINNESOTA 

Albert Lea 

Andover 

Anoka 

Apple Valley 

Ardcn Hills 

Austin 

Bcinidji 

Blaine 

Bioomington 

Braincrd 

Brooklyn Center 

Brooklyn Park 

Burnsville 

Champlin 

Chaska 

Cloqucl 

Columbia Heights 

Coon Rapids 

Cottage Grove 

Crystal 

Duluth 

Eagan 

Eden Prairie 

Edina 

Fairmont 

Faribault 

Fergus Falls 

Fridlcy 

Golden Valley 

Ham Lake 

Hastings 

Hibbing 

Hopkins 

Hutchinson 

Inver Grove Heights 

Lakcville 

Little Canada 

Mankalo 

Maple Cirove 

Maplcwood 

Marshall 

Minneapolis 

Minnctonka 

Moorhead 

Mound 

Mounds View 

New Brighton 

New Hope 

New Ulm 

Northfield 

North Mankato 

North St. Paul 

Oakdale 

Owatonna 

Plymouth 

Prior Lake 

Ramsey 



18.234 
10.199 
15,121 
32.405 

10.067 
21.620 
10,775 
35,852 
88,028 

12,736 
31,688 
57.463 
45,940 
16,041 

10,825 
10,694 
18,881 
48,022 
22,500 

25,017 
82.732 
39,996 
33,244 
48.305 

11,2.30 
16,759 
11,957 
28,817 
23,015 

14.454 
15.333 
18.598 
14.151 
10,967 

20,589 
22,742 
10,381 
28.221 
35.781 

34,498 
1 1 . 1 39 
348,384 
47,355 
28,938 

10,007 
14,818 
21.034 
22.581 
13,352 

13,989 
10,421 
11,341 
18,527 
18,416 

53.308 
10.947 
14.464 



608 

428 
961 
744 

241 

907 

1.235 

2,491 

3,585 

1 ,054 
2,397 
3,345 
2,423 
483 

444 

541 

1.073 

2.. 300 

688 

747 
4.563 
1.314 
1,421 
1.841 

435 
1 ,005 

539 
1,762 

912 

365 
456 
342 
827 
470 

797 
761 
459 
1.724 
969 

2.173 

337 

42,145 

1.460 

1,759 

292 
538 
674 
703 
399 

464 
211 
481 
680 
620 

1,659 
430 
380 



608 
432 
967 
749 

242 

908 

1,240 

2,494 

3.601 

1.057 
2.400 
3,358 
2,425 
484 

448 

544 

1.074 

2,305 

690 

751 
4,617 
1.321 

1,427 
1,847 

435 
1,020 

541 
1,767 

913 

370 
462 
344 
832 
475 

818 
776 
460 
1,732 
973 

2,178 

338 

42,459 

1,464 

1,764 

293 
540 
679 
709 
400 

469 
212 
483 
685 
627 

1,670 
4.3(1 
380 



46 



10 

4 

462 

2 

3 



17 



2,524 
6 
4 

1 

8 

5 

12 



24 

8 

18 

16 

5 
21 
67 
32 
66 

32 
31 
204 
29 
15 

11 
17 
13 
26 
17 

22 
155 
42 
47 
19 

6 
15 

5 
48 
16 



35 
20 

52 
10 
2.335 
15 
26 

8 
40 
10 
21 
10 

13 

2 

12 
18 
13 

40 
9 
3 



78 
126 
143 
124 

27 

93 

111 

297 

584 

144 
411 
715 
322 
98 

90 
86 

187 

345 

91 

157 
761 
220 
205 
392 

65 
229 

80 
236 
233 

122 
74 
55 

181 
56 

163 
148 
56 
218 
198 

358 

38 

9.842 

258 

216 

60 
69 
129 
126 

73 

54 
15 
113 
162 
103 

299 
78 
72 



474 
260 
738 
564 

195 

745 

978 

2.015 

2,585 

791 
1.702 
2,071 
1,906 

338 

323 
390 
778 
1,791 
543 

505 
3,237 

963 
1,096 
1,328 

338 
665 
421 
1.329 
587 

196 
312 
259 
541 
373 

509 
531 
362 
1,379 
699 

1,537 

269 

21,448 

1,097 

1,443 

206 
383 
469 
493 
293 

310 
180 
311 
460 
468 

1,154 
320 
272 



27 
33 
49 
33 

9 

45 

69 

123 

306 

76 
212 
283 
143 

27 

18 
43 
74 
116 
30 

52 
341 
74 
66 
90 

24 
85 
26 
124 
64 

32 
43 
21 
77 
23 

94 
46 
38 

74 
48 

199 

16 

5,488 

82 

67 

16 
36 
60 

47 
21 

82 
12 
37 
34 
31 

153 
20 
30 



92 



Table 6.— Number of Offenses Known to the Police. Cities and Towns 10,000 and over in Population, 1989— Continued 



Cily by Slolc 



MINNESOTA— Continued 



Ri-d Wing 
Rrchficld . 



Rohbinsdale 

Rtx-hcslcr 

Rosc\ille 

Si. Cloud 

St. Louis Park 



St Paul 

Shakopee 

Shorcvicw 

South Lake Minnetonka 
South St. Paul 



Stillwater 

Vadnais Heights . 
West St. Paul ... 
White Bear Lake 
Willmar 



Winona .. 
Woodbur>' 



MISSISSIPPI 



Bay St. Louis 

Clarksdale ... 
Columbus — 
Corinth 



Greenville 
Grenada ... 
Gulfport . . . 
Hattiesburg 
Jackson — 



Laurel 

Long Beach 
McComb . . . 
Meridian ... 
Moss Point 



Natchez 

Ocean Springs 
Pascagoula — 

Pearl 

Picayune 



Ridgeland . 
Slarkville 

Tupelo 

Vicksburg . 
Yazoo City 



MISSOURI 



Arnold 

Ballwin 

Bellefontaine Neighbors 
Belton 



Berkeley 

Blue Springs ... 

Bridgeton 

Cape Girardeau 
Canhage 



fnmc 
Index 
total 



14.585 
35.640 

14.141 
60.950 

45.485 
43.716 

261.902 
11.290 
26,866 
10.399 
20,670 

13,767 
12.604 
19,205 
25,148 
16,587 

24,046 
17,466 



10,605 
20,340 
27,284 
12,306 

46,123 
11,035 
42,201 
39,309 
201,350 

19,740 
17,209 
11,926 
41,180 
18,759 

20.860 
18,429 
30,945 
22,191 
11,566 

14,847 
16,668 
26.093 
25,313 
12,226 



21,442 
24,172 
11.338 
17,880 

16,456 
37,787 
18,653 
34.376 
11,549 



Modincd' 
Crime 
Index 
total 



708 
1.814 

766 
3,284 
2,251 
2,709 
2,377 

21,796 
680 
400 
234 
930 

539 
287 
1,129 
994 
976 

1,538 
548 



488 
1,013 
1,153 

411 

4,004 

858 

4,111 

3,279 

17,863 

2.155 
818 
902 

2,319 
605 

1,878 
824 

2,598 
638 

753 

685 
1,038 
1,383 
1,296 

815 



783 
534 
407 
644 

818 
1,792 
1.450 
2,074 

503 



Murder 
and non- 
negligent 

man- 
slaughter 



Torcihlc 
ra|X' 



715 
1,825 

772 
3,289 
2,256 
2,727 
2,381 

22.062 
690 
400 
235 
940 

542 
288 
1,130 
999 
986 

1,549 
556 



488 
1,015 
1,159 

412 

4,019 

860 

4,131 

3,282 

17,980 

2,158 
818 
906 

2,325 
620 

1,880 
827 

2,608 
639 

754 

685 
1,038 
1,383 
1.298 

817 



785 
536 
407 
647 

823 
1.807 
1.457 
2,077 

504 



4 
II 

3 
9 

8 

25 
5 

189 
7 
I 
1 

7 



31 
6 

24 
20 
180 

6 
1 

4 
13 
14 

10 
6 

27 
5 



3 
44 

12 
24 
16 
13 

17 

856 
3 
5 



Aggra- 
vated 
iissaull 



Burglary 



20 



5 
25 
16 
10 

91 
26 
111 

47 
647 

34 
7 
23 
59 
23 

24 

17 

104 

4 

7 

12 
3 
5 

17 
10 



15 
61 

13 
46 
21 
54 
59 

1,403 
20 



23 



114 
140 
253 
303 
563 

29 
62 
103 
69 
24 

73 

9 

147 

15 

32 

19 
120 
28 
89 
46 



29 

5 

53 

64 
33 
39 
3 
10 



L.arceny- 
Iheh 



Motor 
vehicle 
Ihefl 



110 
393 

148 
546 
327 
370 
498 

5,065 

120 

76 

46 

202 

73 

57 

179 

228 

126 

190 
181 



120 
430 
183 
134 

1,796 
142 

1,203 
766 

5,738 

462 
232 
274 
714 

277 

547 
184 
645 
198 
158 

123 
160 
199 
378 
210 



539 
1,110 

524 
2,568 
1,665 
2,098 
1,636 

11,528 
475 
308 

171 

575 

404 
208 
794 
642 
773 

1,253 
321 



292 
440 
834 
230 

1.893 
496 
2,217 
2,014 
9.607 

1,576 
481 
478 

1,283 
242 

1,147 
556 

1.536 
382 
526 

505 
736 
1,059 
749 
510 



195 


516 


99 


388 


33 


300 


95 


457 


245 


360 


284 


1,360 


217 


1,034 


264 


1,735 


III 


357 



37 
194 

66 
91 

213 
148 
162 

2,740 

55 

10 

13 

101 

36 

22 

118 

75 

32 

69 
28 



25 
39 
56 
36 

70 

47 

299 

127 

1,080 

46 
35 
19 
174 
25 

74 
52 
135 
34 
28 

25 
14 
83 
40 
34 



7 
II 

6 
5 

5 



266 
10 



1 
10 

3 
1 
1 
5 
10 



2 
6 
1 

15 
2 

20 
3 

117 



4 
6 

15 

2 
3 
10 
1 
1 



32 


2 


12 


2 


61 




30 


3 


95 


5 


91 


15 


125 


7 


45 


3 


22 


1 



lablt 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1989 — Continued 



Ciiy by Stale 


Population 


Crime 
Index 
lolal 


Modified' 
Crime 
Index 
lolal 


Murder 
and non- 
negligeni 

man- 
slaughler 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglar. 


Larceny- 
theft 


Motor 
vehicle 
theft 


Arson* 


MISSOURI— Continued 

Clayton 


13.776 
64,548 
12,081 
11,419 
11.158 

23,118 
60,765 
10,646 
28.968 
24.924 

18.834 
16.445 
1 1 5.479 
34.316 
17.108 

41,821 
440,435 
15,432 
27.272 
10,164 

42,393 
12.753 
28..346 
11.689 
12.833 

10,054 
13,425 
18,111 
16,736 
31,155 

10,465 
13,124 
14,609 
42,403 
73,739 

405.066 

30,352 

20.439 

17,710 

143,173 

41,741 
12.813 
10,505 
23.078 

78.136 
58.367 
10,596 
11,978 
35,693 

10,135 
12,156 
31.713 
19.326 


765 
4,477 
485 
484 
425 

756 

1.460 

410 

967 

1,628 

905 

841 

7.519 

1.811 

1.164 

3.612 

56.028 

775 

876 

710 

1,246 
382 

1,348 
227 
667 

549 

827 

983 

1,242 

1 ,07 1 

804 

652 

833 

2,133 

4,325 

62,082 

1,845 

1,177 

932 

12.907 

2,910 
939 
466 
497 

5.409 
4.659 
609 
1.533 
3.647 

407 

546 

1,494 

748 


766 
4,505 
485 
484 
429 

757 

1,467 

410 

973 

1.635 

906 

847 
7.575 
1.827 
1.168 

3.635 

56.505 

775 

877 

714 

1.252 
382 

1,354 
229 
669 

558 

831 

986 

1,263 

1,075 

808 

652 

834 

2,154 

4.353 

62.683 

1,847 

1.188 

936 

13.024 

946 
469 
500 

5.423 

612 
1,536 
3,650 

411 

548 

1,495 

749 


1 
3 


1 
9 


1 1 
87 
12 
11 

5 

44 

36 

5 

13 
39 

1 

21 

106 

8 

41 

47 

3,824 

2 

16 
4 

13 
5 
6 
3 
1 

4 
5 

17 
10 
36 

25 
6 
11 
42 
50 

4,220 

24 

5 

21 

192 

123 
5 

1 
9 

54 

29 

1 

3 
13 

1 

2 
12 
2 


22 

172 

4 

12 

10 

18 
46 
61 
46 

44 

36 
13 
361 
76 
30 

100 

4,525 
1 1 
16 
13 

25 
3 

55 
9 

43 

31 
46 
58 
56 

45 

27 

4 

5 

112 

447 

7.936 

189 

53 

31 

345 

120 
20 

73 
20 

97 

1 
49 

55 

9 

9 

17 
4 


206 

661 

84 

51 

68 

257 
3.36 
39 
229 
338 

169 
147 
1.539 
274 
196 

663 
12.104 
112 
175 
174 

273 
65 

259 
52 
95 

97 
112 
135 
215 
224 

112 
129 
77 
392 
861 

13.837 

275 

216 

217 

2.612 

798 

251 

67 

96 

1.150 

588 

43 

236 

444 

72 

91 

215 

102 


469 
3.390 
371 
368 
324 

353 
925 
279 
607 
1.004 

669 

558 

4,624 

1,351 

748 

2.630 

25.853 

632 

608 

470 

845 
298 
944 
156 

477 

388 
635 
700 
917 
656 

566 

493 

602 

1,461 

2,743 

26,669 

1,292 

857 

616 

9.151 

1.474 
629 
313 
356 

3.856 
3.696 
540 
1.157 
2.938 

318 

423 

1.179 

611 


55 

155 

14 

42 
15 

81 

109 

16 

68 

196 

20 
99 

868 
87 

141 

163 

9,075 

16 

57 
43 

81 
11 
81 

7 
43 

27 
27 
70 
41 
105 

70 

20 

137 

110 

208 

8.932 

60 

43 

42 

539 

375 
28 
11 
14 

296 

211 

23 

81 

179 

7 
21 
66 
29 


1 


Columbia 


18 


















3 

1 

8 
8 
4 
6 

10 
3 

17 
12 

-; 

6 

507 

■) 

3 
4 

8 


4 


Ferguson 

Florissant 


") 


1 

7 




2 






6 




1 


7 




1 






6 




4 
3 
1 

3 

140 


56 
16 


Jennings 


4 




23 




477 






Kirkwood 


1 
2 

1 


1 




4 




6 








1 


2 


6 




2 






8 

2 

t 

3 
3 
5 

4 


2 




9 


OTallon 




4 






3 


Poplar Bluff 




21 






4 






4 


Rolla 










1 
15 
14 

330 

5 
1 

4 
61 

19 
6 

1 

27 
37 


1 


Si Charles 


1 
158 


21 


St . Joseph 


28 
60! 


St Peters 


T 




2 

1 

7 

1 


11 




4 




117 


Dniversitv City 


12 




7 


Washington 




^ 






3 


MONTANA 

Billings 


4 

1 
1 


14 








3 


Kalispcll 


7 
18 


1 






3 


NEBRASKA 




4 








-> 






5 


1 


Columbus 




1 



94 



lablc 6.— Number of Offenses Known to the Police, Cities and lowns 10,000 and over in Population, 1989— Continued 



Cilv b\ Stale 



NEBRASKA— Continued 



Frcmoni — 
Grand Island 
Hastings — 

Kearney 

La Visia .... 



Lincoln 

Norfolk 

North Platte 

Omaha 

Papillion — 
Scottsbluff . 



NEVADA 



Boulder City 

Henderson 

Las Vegas Metropolitan Police Depart- 
ment Jurisdiction 

Reno 

Sparks 



NEW HAMPSHIRE 



Bedford . . 
Berlin . . . . 
Claremont 
Concord 



Derry — 

Dover 

Durham .. 
Exeter — 
Goffstown 



Hampton 
Hudson 
Keene . . . 
Laconia . 
Lebanon 



Londonderry 
Manchester 
Merrimack .. 

Nashua 

Portsmouth 



Rochester . . . 

Salem 

Somersworth 



NEW JERSEY 



Aberdeen Township 

Asbury Park 

Atlantic City 

Bamegat Township 



Bayonne 

Belleville 

Bellmawr 

Bergenfield 

Berkeley Heights 



Population 



Crime 
Index 
total 



Berkeley Township 
Bernards Township 



2.1.991 
.19.114 
::,614 
23.126 
12,. '549 

188.922 
20.542 
22.795 

355.110 
10.517 
14.147 



12,490 
62.512 

536.148 

121.345 

57,495 



13,210 
12,261 
14.995 
35,305 

27,369 
24,319 
13.118 
13,129 
14.903 

12.394 
18,606 
23,166 
16,760 
11.853 

19,096 
100,295 
22.156 
82,056 
26,247 

25,778 
26,196 
11.221 



18.946 
1 5,800 
35,128 
11.362 

61.068 
36,110 
13.396 
24.798 
12,674 

35.188 

18,7761 



Modified' 
(^rmie 
Index 
total 



1.109 
2,526 

885 
1,177 

342 

13,197 

1,141 

1,332 

23,345 

175 

914 



231 
2,064 

39,624 
11.426 
4,2 1 3 



594 

130 

609 

1,832 

859 
1.127 
250 
398 
515 

993 
570 
1.096 
922 
638 

711 
7,295 

429 
3.376 
1.531 

1,291 
1,339 

522 



534 

1,451 

14,162 

204 

2.064 

1.667 

322 

586 

141 

727 
207 



Murder 
and non- 
negligent 

man- 
slaughter 



1.112 
2,530 

890 
1,185 

342 

13,271 
1,144 
1.332 

177 
915 



231 
2.082 

40.133 
11,485 
4,261 



594 

130 

613 

1.844 

882 
1 , 1 34 
251 
412 
521 

995 
579 
1,113 
947 
640 

751 
7.340 

430 
3,390 
1.538 

1,300 

1,342 

526 



538 

1,452 

14,303 

205 

2,081 

1,676 

323 

590 

142 

741 
207 



23 



Forcible 
rape 



14 



188 
3 
3 



32 

305 
137 

55 



99 

3 

5 

639 



Aggra- 
vated 
assault 



1 
39 

2,046 

458 

79 



14 

68 

543 

5 

74 
52 

2 
16 

3 



22 
21 
13 

25 
7 

698 

43 

32 

1,901 

5 

30 



6 
50 

1.676 
520 
226 



Burglary 



15 

54 

9 

9 
42 
36 

132 
8 

10 
28 
16 

47 
59 
21 

23 
115 

14 

21 

9 



33 
151 
549 

16 

156 

84 

20 

22 

I 

33 
II 



Larceny. 
Ihefl 



141 
586 
142 
208 

47 

2.126 

94 

150 

4.760 

27 

104 



59 
589 

9,019 

2.194 

682 



117 
15 
81 

255 

211 

108 

36 

65 

103 

243 
113 
157 
280 
79 

110 

1.917 

64 

514 

238 

204 

153 

82 



94 

268 

1,433 

35 

378 
246 

13 
104 

18 

170 

42 



Motor 
vehicle 
then 



901 
1.837 
698 
889 
280 

9.790 

972 

1,095 

14,368 

139 

730 



155 
1,181 

21,930 
7.381 
2,945 



419 

108 

462 

1,416 

479 
951 
199 
266 
355 

537 
386 
875 
554 
520 

493 
4,584 

326 
2,393 
1,084 

1,010 
885 
399 



329 

795 

1 1 .008 

134 

1.155 
879 
252 
389 
110 



478 
130 



43 
60 
26 
45 
5 

399 

28 

42 

1,466 

I 

41 



10 
172 

4,581 
728 
221 



29 

3 

38 

104 

92 
41 
1 
23 
18 

71 
53 
40 
41 
21 

59 
608 

17 
352 

73 

53 

252 

28 



74 
3 



18 

509 
59 
48 



4 
12 

23 

7 

1 
14 

6 

2 

9 

17 

25 

2 

40 
45 

I 
14 

7 

9 

3 
4 



50 


4 


143 


1 


550 


141 


13 


1 


294 


17 


403 


9 


32 


1 


55 


4 


9 


' 


34 


14 


74 





95 



Table 6.— Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1989 — Continued 



Cily by Slale 



NEW JERSEY— Continued 



Bloomfield 

Brick Township 
Bndgeton 



Bridgewater Township 

Brigantine 

Burlington 

Burlington Township . 
Camden 



Carteret 

Cedar Grove Township 

Cherry Hill 

Cinnaminson Township 
Clark 



Cliffsidc Park 

Clifton 

Clifton Township 

Coliingswood .. 

Cranford Township 



Delran Township . . 
Denville Township 
Deptford Township 

Dover 

Dover Township .. 



Dumonl 

East Brunswick Township 
East Hanover 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 Township (Gloucester County) 
Franklin Township (Somerset County) . 
Freehold 



Freehold Township 
Galloway Township 

Garfield 

Glassboro 

Glen Rock 



Gloucester City 

Gloucester Township 

Hackensack 

Haddonfield 

Haddon Township 



Population 



Hamilton Township (Mercer County) 
Hamilton Township {Atlantic County) 

Hammonton 

Hanover Township 



47,431 
62,581 
18,786 

30,168 
10,600 
10,300 
11,823 
82,262 

19,257 
12,284 
75.075 
15,570 
16,091 

20,229 
76.237 
10,380 
15,380 
23,716 

14,298 
14.097 
25,028 
13,987 
73,912 

17,644 
44,656 
10,360 
77,389 
23.756 

13.716 
85.465 
23.555 
105.324 
1 7,844 

23.595 
31.871 
35.979 
30,769 
10,260 

10,290 
32,082 
14,348 
39,456 
10,530 

23,405 
21,471 
25,770 
15,179 
11,011 

13,135 
52,932 
36,330 
12,173 
15.740 

87,709 
14,117 
1 2.404 
12,003 



Crime 
Index 
total 



2,284 
1,991 
1,604 

777 
549 
619 
613 
12,316 

504 
399 
3,570 
369 
389 

446 
3,379 
135 
638 
514 

397 

337 

1,482 

678 

3,327 

329 
1.609 

430 
7,710 

647 

954 

3,514 

1,673 

12,460 

913 

1,763 
685 

1,845 
792 
342 

165 
1,186 

406 
1.698 

716 

793 
762 
5.30 
946 
165 

460 

2,002 

2,448 

258 

627 

2,993 
954 
438 

222 



Modified* 
Crime 
Index 
total 



2,299 
2,005 
1,627 

778 
552 
625 
617 
12,564 

504 
409 
3.582 
376 
391 

446 
3,387 
138 
644 
518 

399 
337 

1,498 
678 

3,344 

330 
1,617 

430 
7,778 

648 

960 

3,541 

1,689 

12,492 

915 

1.768 
694 

1.853 
794 
344 

166 



Murder 
and non- 
negligent 

man- 
slaughter 



3.004 
962 

442 
222 



25 



Forcible 
rape 



1.189 
412 


1 


1,711 
719 


1 


807 




775 
534 


1 


953 




167 




460 




2,038 




2,455 
262 


3 


631 





I 

3 
15 

8 
7 
3 
5 
142 



Robbery 



117 
7 

1 

17 
9 

47 

7 



23 

8 

1.293 

19 
10 

52 
10 
3 

13 
75 



14 

5 

40 

1 

9 

3 

1,355 

7 



57 

21 

996 

25 

66 

9 

21 

31 

3 

1 
35 

2 
40 
33 

7 
10 



Aggra- 
vated 
assault 



77 

30 

224 

15 
48 
38 
36 
1,031 

32 
79 
59 
10 
1 

14 
58 
11 
23 
10 

21 
36 

72 
26 
66 

12 
41 
17 
599 
11 

14 
139 

89 
582 

14 

108 
26 
21 
24 

8 

2 
46 
32 
50 

74 

14 
36 
19 
43 
1 

7 
81 
38 

5 
12 

57 

80 

25 

4 



Burglary 



361 
417 
342 

144 
142 
116 
87 
3,164 

112 
96 

561 
78 
48 



571 
35 

109 
48 

31 
20 

254 
154 
709 

78 

217 

45 

1,669 

100 

107 
633 
375 
2,046 
134 

-325 
183 
366 
111 
62 

18 
162 
106 
410 

86 

78 
187 
111 
203 

20 

101 
388 
213 
52 
110 



Larceny- 
Iticfl 



1,197 

1,424 

889 

535 
324 
387 
423 
4,047 

283 
184 
2,345 
204 
279 

256 

2.024 

81 

402 

397 

285 
245 
848 
401 
2.265 

209 
1.184 

338 
1.916 

477 

732 
2.229 
1.034 
4.881 

590 

1.106 
393 

1.106 
526 
188 

135 
764 
212 
1.067 
470 

635 
486 
279 
626 
131 

296 

1.253 

1.740 

183 

425 



Motor 
vehicle 
Iheft 



578 
98 

74 

71 
26 
50 
54 
2.614 

51 
28 
546 
60 
58 

79 

640 

6 

89 

52 

51 
31 

286 

84 

223 



152 

26 

2.047 

45 

98 

439 

144 

3.893 

143 

156 

71 

329 

100 

81 

9 
178 

43 
120 

43 

58 
36 
108 
48 
11 

51 

211 

382 

12 

67 



658 


1.830 


378 


189 


573 


87 


75 


285 


45 


22 


177 


17 



96 



Tabic 6.— Number of Offenses Known to the Police. Cities and lowns 10,000 and over in Population, 1989— Continued 



Cu> b> Slalc 



NK» JERSEY— Conlinued 



Harrison 



Hashrouck Heights .... 

Hawthorne 

Hajlcl Township 

Highland Park 

Hillsborough Township 



Hillsdale 

Hillside Township . 

Hoboken 

Holmdel Township 
Hopalcong 



Hopewell Township 
Howell Township 

lr\ington 

Jackson Township . 
JelTerson Township 



Jerse\ City 

Keanshurg 

Keam> 

Lacey Township 
Lakewood 



Lawrence Township 

Lincoln Park 

Linden 

Lindenwold 

Little Egg Harbor Township 



Little Falls Township 

Livingston 

Lodi 

Long Branch 

Lower Township — 



Lyndhurst Township . 

Madison 

Mahwah Township ... 
Manalapan Township 
Manchester Township 



Mantua Township 

Manville 

Maple Shade Township 
Maplewood Township .. 

Marlboro 



Medford Township — 

Metuchen 

Middlesex 

Middle Township 

Middletown Township 



Millbum Township 

Millville 

Monroe Township (Gloucester County) 
Monroe Township (Middlesex County) 
Montclair 



Montville Township ... 
Moorestown Township 

Morrislown 

Morris Township 

Mount Holly 



Crime 
Index 
louil 



11,95.1 

11.552 
18.596 
22.944 
12.714 
24,948 

10.270 
2 1, .■'51 
42.041 
11.562 
14,688 

11,492 
36.560 
61,659 
.11,551 
17.043 

218.020 
10.651 
33.935 
20,099 
40,869 

25,930 
1 1 ,362 
37,933 
18,526 
12.524 

12.244 
28.465 
22.774 
29.236 
20.560 

19.748 
15,390 
16,362 
28.475 
34,867 

10,340 
10,420 
19,608 
22,744 
28,294 

20,860 
12.855 
13,135 
14,157 
69.544 

19,467 
25,830 
23,966 
21.652 
38,414 

15.770 
16.091 
16.552 
19.668 
10.811 



779 

485 
422 
401 
403 
459 

1.38 

1.745 

2.349 

222 

323 

189 

847 

7,140 

1,55 
394 

21,641 

-302 

2,235 

496 

2,677 

2,182 
236 

2,093 
874 
487 

652 

1,004 

861 



MoJined' 
Crime 
liidc\ 
tola! 



603 

844 
279 
504 
462 
357 

263 
198 
747 
1,139 
542 

480 
425 
362 
690 
1,133 

793 

1,417 

834 

341 

2.187 

390 
554 
1.636 
431 
718 



Murder 
and non- 
ne^ligcnl 

man- 
slaughter 



780 

485 
422 
402 
404 
465 

141 

1.747 

2.362 

223 

325 

190 

855 

7,190 

1,558 

395 

21,713 

303 

2,238 

507 

2,718 

2,186 
236 

2,100 
890 
487 

653 
1,010 

863 
2,241 

604 

846 
279 
508 
466 
392 

265 
200 
750 
1,146 
548 

486 
428 
366 
690 

1,147 

796 

1,428 

841 

344 

2,189 

394 
557 
1,642 
432 
722 



Foreiblc 
rape 



Aggra- 
valed 
assault 



148 
85 



I 

9 
584 



2,307 

I 

56 

4 
93 

22 
2 

89 

29 

I 

10 

8 

13 

102 

1 

19 
2 
7 
4 
1 

1 

1 
12 
40 

4 



68 



Iturgtury 



25 

4 
11 
39 
16 
20 

5 
153 
128 

4 
21 



705 
56 

25 

1,465 

38 

134 

10 

157 

35 

12 

101 

55 
30 

15 
16 
19 

171 
16 

26 
9 
14 
38 
22 

6 
II 

27 
32 
35 

16 
25 
8 
23 
47 



85 
43 
17 
94 

5 

15 

104 

II 

47 



I.areenv- 
tlieft 



63 

85 
78 
76 
78 
M I 

32 

241 

654 
19 
59 

72 

142 

1,574 

222 

107 

4,384 
50 

280 
91 

603 

227 
20 
299 
200 
114 

119 
58 

92 
610 

no 

67 
64 
79 
65 
84 

73 

16 

114 

175 

67 

83 
107 

54 
135 
200 

84 
367 
220 

27 
458 

50 
57 

240 
91 

167 



Motor 

vehicle 
ihell 



359 

309 

254 
238 
268 
318 

93 

656 

1,017 

184 

200 

107 

602 

1,936 

1,217 

226 

8,068 
176 

1.282 
365 

1.580 

1.489 

185 

1.073 

452 
3.30 

383 
782 
544 
1,179 
430 

543 
195 
375 
314 
229 

170 
159 
425 
636 
418 

355 
265 
270 
481 

787 

587 
8-30 
486 
274 
1,156 

290 
409 
1,081 
299 
409 



317 

76 
67 
43 
29 
9 

6 

532 

459 

13 

35 

3 

58 

2.275 

53 

32 

5,286 

33 

475 

25 
221 

404 

16 

522 

126 

12 



91 

94 
81 
63 
22 
399 

42 
62 
125 
26 
51 



13 
I 



50 
6 
1 

72 

I 

3 

II 

41 



7 
16 



125 


1 


140 


6 


193 


2 


139 


19 


30 


1 


183 


2 


q 




27 


4 


39 


4 


18 


35 


12 


2 


1 1 


2 


166 


3 


253 


7 


16 


6 


22 


6 


26 


3 


24 


4 


29 





14 

3 

II 
7 
3 
2 

4 
3 
6 
1 
4 



97 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1989 — Continued 



Cily by Slale 



Population 



Crime 
Index 
lolal 



Modified' 
Crime 
Index 
Iota) 



Murder 
and non- 
negligent 

man- 
slaughter 



Foreiliie 
rape 



Aggra- 
vated 
assault 



Burglary 



Larccny- 
thefl 



Motor 
vehicle 
theft 



NEW JERSEY— Continued 

Mount Laurel Township 

Mount Olive Township 

Neptune Township 

Newark 

New Brunswick 

New Milford 

New Providence 

North Arhngton 

North Bergen Township 

North Brunswick Township 

North Plainfield 

Nutley 

Oakland 

Ocean City 

Ocean Township 

Old Bridge 

Orange 

Palisades Park 

Paramus 

Parsippany-Troy Hills 

Passaic 

Paterson 

Pemberlon Township 

Pcnnsaukcn 

Pennsville Township 

Pequannock Township 

Perth Amboy 

Phillipsburg 

Piscalaway Township 

Plainfield 

Plainsboro Township 

Pleasantville 

Point Pleasant 

Pompton Lakes 

Princeton 

Princeton Township 

Rahway 

Ramsey 

Randolph Township 

Raritan Township 

Readington lownship 

Red Bank 

Ridgefield Park 

R idgewood 

Ringwood 

River Edge 

Rockaway Township 

Roselle 

Roselle Park 

Roxbury Township 

Rutherford 

Saddle Brook Township 

Sayreville 

Scotch Plains 

Secaucus 

Somcrs Point 

Somerville 



30.940 
19,157 
29,296 
3Lt,K39 
39,446 

16,011 
12,093 
15,750 
45,999 
26,711 

17,063 
29,036 
12,775 
15,610 

24,347 

56,880 
31,947 
1 3,3 1 6 
25,619 
48,330 

53.293 
138,846 
31,110 
34,557 
13,837 

13,266 
36,751 
15.690 
44,105 
45,087 

13,266 
14,788 
18,205 
11,382 
12.264 

14.418 
26,381 
13.286 
19,568 
1 3,666 

12.544 
11.412 
12.033 
24,367 
13.516 

10,430 
19,858 
20,489 
12,995 
19.818 

18,185 
13,797 
35.869 
21,572 
15.390 

10.600 
11.242 



712 

512 

1.891 

45.018 

3.196 

345 

136 

406 

2.687 

1.238 

999 

787 

200 

1.691 

1,191 

1.505 
3,952 
271 
3.434 
1,567 

4,687 

12.774 

1,076 

2,238 

335 

366 
2.484 

432 
1.630 
4,131 

478 
1,239 
634 
260 
571 

229 
1,187 
542 
467 
326 

148 
621 
260 
266 
189 

193 
1 ,099 
1.093 

364 

555 

447 
546 
950 
468 
1.287 

495 
476 



712 

519 

1.904 

45.225 
3.202 

348 

137 

407 

2.692 

1.248 

1.002 

788 

201 

1.691 

1,193 

1.520 
3.961 
271 
3.461 
1.582 

4.698 

12.817 

1.092 

2.253 

338 

370 
2.497 

434 
1.647 
4.144 

479 

1.255 

640 

260 

578 

229 
1.188 
542 
470 
328 

149 
624 
261 
266 
190 

193 
1,104 
1.103 

366 

558 

447 
547 
957 
471 
1.288 

496 
476 



107 



4 

11 

376 

19 



33 
104 

21 
4 
4 



9 

1 

46 

5.310 

160 

3 



4 

77 
20 

27 
17 
I 
II 
18 

14 

445 

5 

40 

39 

5.39 

1.175 

14 

110 



107 



26 
470 



25 

24 

154 

4.547 

81 

19 

1 

19 

111 
29 

27 
38 
11 
33 



98 

268 

3 

59 

43 

232 

1.272 

84 

58 

3 

5 

146 

14 

145 

167 

12 

180 

9 



188 
143 

424 

6.687 

947 

52 

22 

39 

482 

246 

180 
172 
34 
357 
166 



742 

63 

147 

332 

903 

3.277 

334 

607 

36 

61 
646 

99 

344 

1.036 

79 
350 
89 
32 
98 

43 
244 
47 
65 
45 

35 
105 
43 
40 



53 
105 
159 
41 
89 

78 
62 
143 
108 

71 



423 

301 

1.133 

12.317 

1,640 

252 
102 
272 
1.319 
814 

608 
418 
150 
1.256 
910 

935 
1,157 

140 
2.562 

971 

1,871 

5.117 

531 

665 

271 

273 

1.223 

285 

971 

1.731 

357 
582 
511 
197 
446 

175 
660 
410 
371 

255 

99 

447 
171 
186 
145 

124 
851 
564 
206 
394 

290 
400 

552 
284 
954 

338 
334 



67 

39 

123 

15.674 

347 

19 

II 

72 

689 

121 

155 

139 

4 

31 

61 

162 

1,302 

60 

622 

160 

1.106 

1,815 

91 

792 

19 

25 
352 

32 
138 
702 

27 
54 
22 
16 
II 

7 

194 

67 

18 

12 

6 
32 
34 
26 

4 

10 
113 
269 
105 

42 

56 
63 

177 

61 

227 

35 
28 



98 



lable h.-NumlHT of OfTenses Known lo the Police. CilieN and Towns 1(I,(H»() and our in I'opulalion. 1989-Conlinued 



Cil> b> Stale 



NK« JKRSt^— Continued 



South Brunswick Township 

South Orange 

South Plainficld 



South Rucr 

Sparta Township . 

Springfield 

StatTord Township 
Summit 



Tcaneck Township 

Tcnafly 

Tinton Falls 

Totowa 

Trenton 



Populalion 



Union City 

Union Township . 

Ventnor City 

Vernon Township 
Verona 



Vineland 

Voorhees Township 

Waldwiek 

Wallington 

Wall Township — 



Wanaque 

Warren Township 

Washington Township (Bergen County) 
Washington Township (Gloucester 

County) 

Washington Township (Morris County) 



Walerford Township 

Wayne Township 

Weehawken Township ... 

West Caldwell 

West Deptford Township 



Westfield 

West Milford Township 

West New York 

West Orange 

West Paterson 



West Windsor Township 

Westwood 

Willingboro Township 

Winslow Township 

Woodbridge Township .. 



Woodbury 
WvckolT .. 



NEW MEXICO 



Alamogordo 
Albuquerque 

Artesia 

Carlsbad 



Clovis 

Deming ... 
Farmington 

Gallup 

Hobbs 



CnilK" 
Indcv 
lout 



2.'>.42'' 

I6.:7I 
20.560 

13.246 
14.588 
14.1.17 
13.225 
20,690 

38.013 
13,015 
11,983 
11.242 
90,975 

53,733 
5 1 ,459 
11,402 
20,510 
14,227 

54.856 
21.662 
10.270 
10.220 
20,089 

10,610 
10,520 
10,099 

37,513 
1 5.049 

10.620 
51,299 
12,684 
11,452 
18.405 

.30,048 
26,170 
39,596 
41,229 
11,823 

13,616 
10,911 
38,715 
28,345 
93,169 

10,380 
1 5.540 



28.996 

384,801 

10,970 

26,678 

34,283 
11,682 
39,112 
22.195 
32,240 



Modified* 
Crime 
Index 
total 



669 
1,252 
1.161 

288 
196 
397 
389 
616 

1,.503 

225 

451 

954 

10,536 

4.170 

3,369 

703 

500 

354 

3,972 

1,068 

189 

357 

440 

174 

224 

65 

1,268 
209 

311 

3,174 

1,017 

311 

535 

697 

594 

2,833 

1,655 

644 

561 
325 

1,345 
973 

4,817 

649 
201 



1 .490 

38.344 

507 

1,983 

1,796 
890 
2,868 
2.963 
1,921 



Murder 
and non- 
negligent 

man- 
slaughter 



674 
1,256 
1,167 

294 
198 
399 
391 
619 

1,509 

227 

453 

956 

10.551 

4,170 

3.371 

705 

502 

354 

4,012 

1,070 

190 

357 
447 

183 

228 
65 

1,269 
209 

316 
3,179 
1,021 

311 

537 

698 

604 

2,845 

1,656 

650 

562 

325 

1.351 

1,012 

4,839 

651 
201 



1,500 

38.594 

507 

1,995 

1,806 
892 
2,889 
2.972 
1,929 



Foreibic 
rajH- 



4 

4 

102 

13 
12 
4 



6 

178 



Aggra- 
vated 
assaull 



24 
4 

8 
727 

219 

117 

11 



180 
19 



6 

21 
19 

2 
6 

4 

I 

115 

44 

10 



8 

1,032 

4 

12 

11 
5 
46 
37 
20 



Burglary 



25 
18 
16 

30 

7 

12 
14 

3 

III 

3 

21 

12 

946 

193 
36 
40 
II 

17 

233 

31 

10 

6 

10 

8 
3 



156 
53 
14 



66 

3,445 

46 

68 

98 
101 
156 
206 
206 



t,arceny- 
Ihefl 



141 
186 
157 

59 
36 
32 
83 
159 

222 

50 

83 

65 

2,331 

913 

478 

187 

64 

66 

857 

186 

25 

57 

79 

48 

47 
II 

296 
43 

119 

263 

150 

27 

83 

127 
154 
641 
322 
80 

89 

57 

265 

238 

713 

133 
46 



394 

9,672 

81 

507 

380 
177 
429 
416 

437 



Motor 
vcliiele 
ihefl 



452 
589 
859 

172 
144 
223 
270 
389 

1,011 

157 

.305 

698 
3,841 

1,871 

1,722 

443 

402 

246 

2,336 
670 
140 
227 
321 

102 
163 
44 

818 
152 

134 
2,270 
591 
246 
365 

506 
391 
1,.306 
86 
391 

377 
237 
823 
518 
2,942 

393 
142 



960 

21,670 

359 

1.330 

1,202 
548 
2,082 
2,147 
1,186 



37 

368 

94 

18 

7 

118 

19 

60 

129 

11 

36 

171 

2,567 

960 

1,003 

18 

21 
18 

335 

160 

14 



93 
9 

39 

576 

186 

26 

68 

53 

36 

606 

361 

148 

81 
17 

125 
89 

984 

73 
7 



52 

:.306 

14 

65 

88 
57 
129 
133 
48 



2 
2 

3 

6 

2 
2 
2 

15 



1 
10 



6 
39 



10 
250 



10 
2 

21 
9 



99 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1989 — Continued 



City by State 



Population 



Crime 
Index 
total 



Modified* 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Aggra- 
vated 
assault 



Burglar>' 



Larceny- 
theft 



Motor 
vehicle 
theft 



NEW MEXICO— Continued 

Las Cruces 

Las Vegas City 

Los Alamos 

Lovington 

Portales 

Rio Rancho 

Roswell 

Silver City 

NEW YORK 

Albany 

Amherst Town 

Amsterdam 

Auburn 

Batavia 

Beacon 

Bethlehem Town 

Binghamton 

Brighton Town 

Buffalo 

Camillus Town & Village 

Canandaigua 

Carmel Town 

Cheeklowaga Town 

Cicero Town 

Clarkstown Town 

Clay Town 

Cohoes 

Colonie Town 

Corning 

Cortland 

Cortlandl Town 

Depew Village 

Dewiit Town 

Dunkirk 

East Aurora-Aurora Town 

Eastchester Town 

East Hampton Town 

Elmira 

Endicott Village 

Evans Town 

Fallsburg Town 

Fishkill Town 

Floral Park Village 

Fredonia Village 

Freepon Village 

Fulton 

Garden City Village 

Gales Town 

Geddes Town 

Geneva 

Glen Cove 

Glens Falls 

Glenville Town 

Gloversvillc 

Greece Town 

Greenburgh Town 



56,935 
15,556 
19,419 
10,848 
10.218 

34.303 
43.952 
11.428 



94.755 

112,285 

20,186 

30.630 

15.646 
13,972 
27.062 
51.216 
34.208 

314.284 
23.584 
11.757 
29.667 
89.543 

24.029 
79.772 
52.275 
16.668 
70,891 

12,067 
19.174 
27.492 
19.564 
25.388 

14.303 
1 3.942 
19.895 
12,560 
32.674 

13,972 
16.387 
11.576 
17,149 
17.149 

10.524 
40,963 
13.130 
22.060 
29.838 

11.155 
15.656 
23.644 
16.558 
21,068 

16,417 
85,334 
41,845 



6,518 

1.431 

363 

476 

575 

973 

3.355 

796 



6.406 

3.281 

456 

1.455 

670 

794 

530 

3.020 

1.048 

26,805 

329 

450 

539 

3.451 

255 

2,572 

658 

555 

3,117 

648 
931 
426 
643 
1,119 

853 
331 
321 

577 
2,416 

646 
452 
535 
247 
247 

287 

1,901 

729 

550 

1,374 

286 
347 
684 
676 
346 

909 
3.049 
1,858 



6.538 

1.434 

366 

477 
575 

974 

3.374 

803 



6.489 

3.297 

456 



670 

807 

532 

3.029 

1.049 

27,379 

452 
549 



255 



3.145 

648 
940 

651 
1,121 

867 
334 
321 

2,435 

647 
456 

247 
250 

290 
1,906 

550 



287 
347 
685 

347 



3.055 
1.865 



29 



3 

24 

4 

268 



10 



316 

57 

5 

26 

4 
15 

5 
40 
21 

1.829 

4 

4 

4 

54 

I 
30 

3 

12 
21 

1 

7 
3 
7 
10 

15 
3 
6 

2 

39 

6 
2 
10 



I 

117 



214 

167 

29 

16 

81 

99 

207 
46 



555 

215 

5 



7 
148 
43 
24 

7 

2.345 

3 

4 

2 

161 

4 

163 

18 

91 

24 

31 

17 

9 

51 

7 

16 
15 
7 

18 
58 

19 
31 

52 
17 
6 

11 
150 
12 
12 
18 

II 

5 

67 

166 

42 



1.723 

378 

17 

104 

179 

314 
829 
131 



1.921 
422 
158 
239 

102 
158 
118 
516 
192 

7.323 

40 

61 

131 

676 

35 
391 
170 
176 
396 

92 

154 

79 

86 

212 

169 

63 

46 

192 

421 

81 
103 
186 
27 
36 

61 
331 
113 
III 

174 



55 
139 

74 
55 

165 
348 

322 



4.105 
819 
311 

343 
290 

522 

2.130 

578 



3.202 

2.292 

267 

1.152 

548 
429 
344 
2.270 
794 

11,797 

272 

370 

360 

2,109 

213 

1,808 

459 

244 

2.543 

501 
705 
322 
474 
868 

639 
242 
214 
328 
1.803 

529 
287 
273 
192 
163 

205 

1.022 

577 

316 

1.052 

241 
277 
371 
404 
224 

675 
2,427 
1.243 



363 

53 
6 
10 



30 
119 



329 

286 

20 

22 

6 

40 

17 

144 

29 

3,206 

10 

7 

41 

435 



176 

7 

29 

116 

23 

38 
13 
25 
21 

14 
8 
46 
35 
83 

II 
25 
14 
10 
31 

9 

258 
24 
99 

104 

5 
3 

89 

27 
23 

31 
225 
179 



100 



Table 6.- 



-Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1989— Continued 



Cilv by Slate 



NEW YORK— Conlinued 



Guildcrland Town 
Hamburg Town 



Hamburg Village . 
Harrison Town ... 
Haverslraw Town 
Hempstead Village 
Irondequoit Town 



Ithaca 

Jamestown 

Kenmore Village 

Kingston 

Lackawanna — 



Lancaster Village .. 

Lockport 

Long Beach 

Lynbrook Village . . 
Mamaroneck Tow-n 



Mamaroneck Village 

Manlius Town 

Massena Village 

Middletown 

Mount Pleasant Town 



Mount Vernon 

Newburgh — 

Newburgh Town 

New Castle Town 

New Hartford Town & Village 



New Paltz Town & Village 

New Rochelle 

New' Windsor Town 

New York 

Niagara Falls 



Niskayuna Town 

North Castle Town — 
North Greenbush Town 

North Tonawanda 

Ogdensburg 



Olean 

Oneida 

Oneonta 

Orchard Park Town 
Oswego 



Peekskill 

Platlsburgh 

Port Chester Village .... 
Port Washmgton Village 
Poughkeepsie 



Poughkeepsie Town 

Ramapo Town 

Rochester 

Rockville Centre Village 
Rome 



Rotterdam Town 

Rye 

Saratoga Springs 

Schenectady 

Schodack Town 



Crime 
Index 
Iota! 



24.947 
.19,620 

10.9.1.S 
22.822 
22,561 
43.489 
54,775 

26.550 
.14,007 
16,658 
2.1,463 
21,098 

1 3,942 
25,167 
32,614 
19,464 
11,379 

1 7.089 
31,010 
11,466 

22,752 
23,976 

68,997 
24,656 
21,980 
16,658 
18,682 

11,015 
68,696 
25,267 
7,369,454 
62,783 

19,033 
10,023 
10,534 
34,679 
12,047 

16,828 
10,313 
13,721 
23.724 
18,883 

20,296 
20,486 

22,72 

14,776 

30,008 

39,710 
58.387 
230.303 
25,608 
41,635 



ModiOcd* 
Crime 
Index 
total 



598 

1,772 

216 

553 

605 
2.935 
2,749 

1.815 
1,831 

458 
1.247 

949 

280 

1.535 

1.131 

454 

388 

632 
653 
589 
1,218 
416 

4.930 

2.696 

1.517 

194 

480 

280 

2,480 

722 

712,419 

3,920 

779 
270 
197 
929 
604 

797 
505 
495 
760 
749 

829 
734 

1,258 
491 

2,456 

2,190 

1,332 

26,875 

910 

1,190 



28,695 


983 


14,794 


394 


25,017 


1,821 


66,782 


3,035 


10,043 


213 



Murder 
and non- 
ncgligenl 

man. 
slaughter 



599 
1.790 



611 
2,951 
2,757 

1,82: 

458 
1.247 



1,542 

1,143 

457 

389 

632 



1,232 



4,953 

2.721 

1,525 

194 

482 

281 

2,490 

730 

718,534 



272 
197 
936 
604 



799 
506 

497 
765 



830 
734 

1,264 
491 

2,459 

2,201 

1.333 

27.189 



988 

394 

1,840 



217 



Korciblc 
rape 



1,905 
3 



5 

6 

6 

3,254 

38 



16 

5 
1 
173 
4 
6 



Aggra. 
valcd 
assault 



Burglary 



3 

1 

202 

44 

17 
18 
11 
41 
33 

3 

18 
23 

16 
9 

9 
3 
4 
19 
1 

385 

170 

16 

3 

2 

3 

133 

6 

93,377 
169 

4 
2 
1 
9 
2 

3 
2 
4 
4 
1 

32 



55 

7 

176 

16 
9 
1,172 
18 
17 

2 

2 

23 

98 



32 
155 

20 

3 

6 

263 

22 

38 
25 
30 
161 
200 

26 

206 

51 

20 

12 

9 

3 

4 

40 

24 

485 

392 

4 

3 

19 

32 

76 

58 

70,951 

172 

45 
10 
18 
II 
1 

7 

4 

9 

53 



21 

17 

90 

8 

112 

57 

40 

1,100 

19 

42 

10 

2 

236 

60 



Larceny- 
theft 



117 

227 

33 

92 

113 

520 

271 

440 
368 
98 
164 
164 



357 

217 

71 

66 

107 
158 
126 
228 
94 

858 

836 

216 

49 

93 

62 

661 

150 

121,322 

1,270 

83 
52 
46 
173 
137 

93 
77 
65 
111 
119 

200 
144 
154 
53 
599 

304 
384 
6,096 
118 
250 

159 

61 

284 

1,074 

52 



Motor 
vehicle 
theft 



425 
1,255 

152 

365 

443 
1,384 
2,250 

1,275 

1 ,353 

293 

810 

451 

192 
873 
669 
262 
262 

410 
471 
439 
845 

257 

1,759 

1,164 

1,203 

129 

360 

166 

1,088 

448 

287,749 

1,886 

631 
177 
117 
694 
428 

666 
395 
400 
556 
594 

503 
530 
842 
366 
1,402 

1,743 

825 

16,349 

553 

814 

772 

295 

1,214 

1.481 

143 



17 
123 

10 

89 

39 
552 
160 

40 
62 
25 
61 
96 

II 
70 
168 
85 

37 

97 
17 
15 
70 
39 

1,406 

112 

75 

10 

6 

12 
515 

54 

133,861 

382 

13 
29 
13 
39 
35 

25 
21 
13 
36 
35 

64 

38 
115 

57 
148 

60 
72 
1,949 
198 
61 

37 
34 
52 
295 
10 



1 
18 



6 
16 
8 



7 

12 
3 
I 



14 



23 
25 



1 
10 



6,115 



1 

6 

3 

11 

1 

314 



5 

19 
4 



101 



Table 6.— Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1989— Continued 



Cily by Stale 



NEW YORK— Continued 



Southporl Town 

Spring Valley Village 

Suffern Village 

Syracuse 

Tarrytown Village ... 



Tonawanda 

Tonawanda Town 

Troy 

Ulster Town 

Utica 



Vestal Town . . 
Wallkill Town 
Warwick Town 

Watertown 

Watervliel 



Webster Town & Village 

West Seneca Town 

While Plains 

Whilestown Town 

Yonkers 



Yorktown Town 

NORTH CAROLINA 



Asheville . 

Boone 

Burlington 
Cary 



Chapel Hill 
Charlotte ... 
Concord . . . 

Durham 

Eden 



Elizabeth City 
Fayetteville .. 

Gastonia 

Greensboro .. 
Henderson 



High Point 
Jacksonville 
Kannapolis 
Laurinburg . 
Morganton . 



Raleigh 

Salisbury ... 

Sanford 

Thomasville 
Wilmington 



Wilson 

Wmston-Salem 



NORTH DAKOTA 



Bismarck 

Dickinson ... 

Fargo 

Grand Forks 

Jamestown .. 



Population 



10.624 
21,860 
11,145 
154.960 
10,714 

18.442 
65,840 
52.269 
12.559 
66,331 

27.482 
22,301 
13,421 
30,279 
11,296 

30.159 
49.643 
45.173 
11.798 
183,417 

34.087 



62.011 
10.717 
38,096 
36.019 

37,346 
372,612 

30.671 
116.921 

15.802 

15.741 
76.445 
53,948 
184,321 
16,389 

68,109 
29,678 
33.274 
12.601 
16,045 

189,132 
25.201 
19,175 
16,065 
56,531 

36,262 

150.611 



47.182 
16.436 
68.965 
47.864 

15,497 



Crime 
Index 
total 



58 

1.494 

298 

11,650 

320 

461 
1,707 
2.858 

484 
2.853 

363 
460 
195 
1.498 
373 

728 

1.331 

3.502 

66 

9.910 

967 



5.65 

633 
2.559 
1.458 

2.299 
49.341 

1.434 

11,424 

846 

906 
11,103 

6,567 
14.764 

1.744 

6,593 
2,764 
1.034 
1.220 
833 

14.248 
2.167 
2.027 
1,301 
6.146 

3.611 
15.989 



2.208 

471 

3.692 

2,370 

597 



Modified* 
Crime 
Index 
total 



58 

1,501 

299 

11,782 

320 



1,71 
2,887 
489 

2,S 



460 

198 

1.505 

376 

730 

1.339 

3,504 

66 

9.999 

971 



5.659 

637 

2.575 

1.475 

2.303 
49.702 

1.438 

11.450 

850 

910 
11,156 
6,617 
14.861 

1.757 

6,637 
2.767 
1.036 
1.235 
838 

14.315 
2.187 
2.029 
1.303 
6.188 

3,639 
16.206 



2.209 

472 

3,700 

2,370 



605 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



10 



73 



17 
113 



40 



14 
8 

12 

325 

3 

72 
3 

3 
71 
19 
96 

4 

48 
18 
7 
9 
4 

102 
9 

8 
4 



76 

I 

488 

3 

1 

28 

60 

10 

111 



4 
9 

5 

9 

8 

104 



Aggra- 
vated 
assault 



555 
5 



145 
53 



27 

2.369 

23 

328 

9 

19 
427 
199 
633 

36 

143 
56 
26 
17 

8 

380 

52 

34 

20 

201 

114 
749 



43 

16 

746 

4 

48 
136 
21 
12 
46 

I 
18 
4 

27 
18 



Burglary 



253 



188 
38 

196 
23 

no 

4.873 

81 

387 

91 



132 
1.206 
528 
963 
192 

434 
143 
92 
52 
41 

751 
77 

182 
67 

278 

234 
1 .338 



20 



4 

284 

60 

3.502 

57 

57 
385 
998 

69 
718 

50 
53 
41 
315 
89 

127 

164 

398 

15 

1.858 

150 



Larceny- 
Ihell 



1,274 
126 
465 
230 

549 

12.772 

354 

3.641 

169 

184 
2.784 
1.769 
3.125 

395 

1.676 
550 
282 
243 

181 

3.042 
657 
542 
307 

1.745 

1.084 
4.129 



291 

50 

456 

314 

89 



54 

992 

202 

6.224 

227 

328 
1.062 
1.623 

375 
1.721 

296 
363 
135 
1.099 
251 

554 
948 

2,650 
45 

5.172 

737 



3.600 

457 

1.713 

1 , 1 03 

1,486 

26,228 

898 

6.335 

540 

535 
5.855 
3.686 
9.217 
1.024 

3.984 

1.887 

546 

836 

556 

9.061 
1,316 
1.179 
831 
3.624 

1,996 
8,575 



1,803 

395 

2,961 

1,928 



Molor 
vehicle 
Ihefl 



458 



81 

18 

564 

27 

26 
95 
130 

17 
237 

15 

24 
11 

37 
7 

36 

134 

261 

6 

2,042 

53 



395 
10 

116 
86 

115 

2,701 

70 

650 

31 

31 
741 
356 
706 

91 

300 

108 

78 

60 

42 

897 
52 
78 
69 

272 

145 
1.023 



85 

17 

164 

89 



7 

1 

132 



102 



Tabic 6.— Number of Offenses knonn to the Police, Cities and Iohhs 10,000 and over in Population, 1989 — Continued 



Cil\ h\ Slalc 


Population 


Crime 
Index 
lolal 


Modified* 
(rime 
Index 
total 


Murder 
and non- 
negligcnt 

man- 
slaughter 


Forcible 
rape 


Kobbep. 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


Arson* 


NORTH DAKOT,\— Continued 


15,368 
34,670 
1 1 ,4 1 5 
1 3.066 

222.588 
23.986 
10.511 
19.715 

22.017 
22.288 
27.654 
17.625 
36.296 

14.430 
11.978 
18,922 
1 3.425 
12.681 

42.325 
25.041 
11.757 
11.395 
10.702 

24.418 
13.314 
12.279 
86,448 
21,313 

23,544 
372,282 

1 2,340 
523,906 

54,192 

572,341 
13,154 
10,621 
48,254 

178,866 

1 7.605 
19,967 
30,729 
11,496 
34,135 

21.735 
57.127 
11,526 
55,589 
28,699 

36,396 
18,218 
18,690 
11,114 
17.465 

24,921 
11,918 


552 

1,498 

381 

457 

16,727 

1.934 

400 

516 

1.680 
610 

1,479 
182 
982 

540 

573 
557 
587 
529 

2,006 

1,214 

175 

171 

252 

876 
571 
864 
7,479 
814 

1,778 

27,819 

552 

43,746 

1,781 

59,491 

321 

583 

1,803 

21,142 

857 

1.213 

606 

408 

2.321 

730 
2,792 

550 
2.607 
1,226 

2,219 
485 

1,132 
606 
811 

884 
690 


553 

1,498 

384 

16,977 

1,964 

401 

516 

1,710 

1.496 
185 
997 

541 
576 
560 
588 
530 

2.018 

1.224 

176 

179 

252 

885 
584 
866 
7.563 
817 

1,786 
28.325 

552 

44.555 

1.782 

60.184 

322 

585 

1,811 

21.443 

860 

1,223 

607 

408 

2,345 

736 
2,815 

552 
2,619 

2,223 
487 

1,134 
607 
826 

890 
690 






1 
1 
7 
1 

745 

69 

2 

1 

22 
4 

34 
3 

21 

10 
6 

5 
30 

5 

39 

7 


5 
5 
4 
7 

1,307 
206 

2 


36 
146 

54 
12 

3,358 

305 

34 

49 

447 
55 

221 
35 

174 

48 
103 

97 
126 

71 

281 

162 

23 

23 

47 

127 
130 
120 
1,784 
121 

349 

6,215 

71 

10,585 

234 

14.982 

65 

100 

224 

4,746 

102 

218 

82 

63 

636 

103 
740 
47 
361 
199 

357 

80 

71 

178 

145 

201 
161 


488 

1,273 
284 
412 

9,478 

1,219 

342 

440 

1,083 
504 

1.019 
130 
721 

369 
311 

372 
404 
435 

1.333 
938 
126 
125 
138 

492 
357 
698 
4,192 
636 

1,261 

16,405 

405 

15,586 

1,212 

31,541 

222 

396 

1,262 

11,110 

694 
893 
494 
315 
675 

544 
1,668 

471 
1,626 

892 

1,681 
336 
986 
383 
556 

629 

475 


22 
69 

28 

22 

1,640 

118 

18 

24 

91 
20 
77 
12 
55 

89 
97 
57 
23 
12 

201 
45 
20 
14 

33 

219 
38 
21 

648 
31 

56 

1,509 

14 

9.610 

302 

6,982 
23 
26 
94 

2,400 

22 
61 
16 
18 
608 

49 
148 

16 
404 

72 

84 
52 
33 
30 
38 

29 
23 


1 






4 
4 
2 

179 
15 

2 

2 

10 
6 
11 








3 


Willislon 


1 

20 

2 




OHIO 


250 




30 




1 








Ashtabula 


2 


25 

21 

116 

2 

6 

24 
51 

22 
3 
1 

152 

51 

4 

3 

25 

20 
35 
17 
302 
15 

65 
1,866 

49 
2,939 

1 

2,226 

5 

58 

185 

1,068 

36 
9 

3 

2 

156 

19 

72 

8 

103 

32 

68 
4 
8 
9 

47 

5 
23 


30 








1 


17 


\ia\ VilliPe 


3 






5 


15 






1 


Bedford Heiehts 


1 
1 


4 

3 
1 
5 


3 




3 




1 


PI, IP Ach 




1 






12 




1 


10 

2 
4 


10 




1 






2 
9 

10 

7 

4 

451 

7 

35 

1,428 

5 

4,045 

29 

3,127 

3 

3 

32 

1,459 


8 












8 
4 
4 
89 
4 

11 
351 

7 

837 

2 

543 


9 






13 






2 




13 


84 




3 




1 

45 

1 

144 

1 

90 
3 


8 




506 








809 


Cleveland Heiehts 


1 




693 




1 








Cuvahoea Falls 




6 
306 

3 

16 

6 

4 

41 

10 
48 
2 
14 
10 

4 
3 
8 

2 
5 

4 

4 


8 




53 


30 








2 


14 

5 

5 

195 

5 

III 

6 

98 

20 

25 
10 

25 
4 
17 

16 
4 


IC 








1 
10 








East Cleveland 


2' 




( 




5 


2_ 






Euclid 


1 
1 


1. 








i 










1 










3 


1 













103 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1989 — Continued 



City by State 



Population 



Crime 
Index 
total 



Modined* 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny 
theft 



Motor 
vehicle 
theft 



OHIO— Continued 

Garfield Heights 

Girard 

Goshen Township 

Greenville 

Grove City 

Hamillon 

Milliard 

Jackson Township 

Kent 

Kettering 

Lakewood 

Lancaster 

Lebanon 

Liberty Township 

Lima 

Lorain 

Loveland 

Lyndhurst 

Madison Township (Lake County) 
Madison Township (Montgomery 

County) 

Mansfield 

Marietta 

Mason 

Massillon 

Maumee 

Mayfield Heights 

Mentor 

Miamisburg 

Miami Township 

Middleburg Heights 

Middlelown 

Montgomet7 

New Philadelphia 

Niles 

North Canton 

North Olmsted 

North Royalton 

Norton 

Norwalk 

Not^vood 

Oregon 

Oxford 

Parma 

Perkins Township 

Pert^sburg 

Perry Township (Stark County) . 

Poland Township 

Portsmouth 

Randolph Township 

Reading 

Reynoldsburg 

Salem 

Sandusky 

Seven Hills 

Shaker Heights 

Sharonville 



.1.1,382 
12,400 
14,028 

12,762 
19,776 
65,819 
11.265 
30,277 

28,468 
60,372 
58,624 
35,140 
10,491 

12.521 
46.465 
72,059 
10,862 
16.309 

15,274 

21,856 
51,891 
15,827 
12,501 

32,337 
17.324 
19,484 
45,088 
18,510 

18,680 
15,053 
47,389 
10,943 

1 7,243 

21.564 
14,329 
35,844 
21,645 
12,279 

15,234 
24,649 
18,912 
16,570 
89.875 

10,290 
11,697 
31,995 
10,802 
22,660 

12,933 
11,827 
25,433 
12,300 
3 1 ,09 1 

1 3,053 
.30,357 
12,591 



1,077 
335 
266 

600 
781 

4.917 
524 

1,520 

1,135 
2,949 
1,643 
2,193 
589 

700 

4,530 

2,557 

292 

213 

645 

1,315 

4,815 

586 

374 

1,749 

825 

529 

1,665 

1,349 

652 
666 
2,717 
335 
644 

1.191 
351 

1.295 
405 
385 

495 
1,108 
1,311 

803 
2.387 

623 

235 

916 

51 

1,812 

299 

396 

1,246 

240 

2,439 

152 
1,480 
1,106 



1,087 
337 



603 
783 

4,942 
526 

1,523 

1,143 
2,965 
1,650 

590 

712 

4,575 

2,575 

293 

216 



1 ,324 
4,842 

374 

1,768 

826 

531 

1,674 

1,359 



670 

2,736 

338 

651 

1,194 
352 

1,311 
410 

385 

495 

1,318 

2.410 

623 

237 

920 

51 



299 
397 

1,260 
242 

2,453 

154 
1.493 



1 

1 

13 

200 

7 
35 

19 

48 

17 

35 

6 

16 

145 

51 



23 
160 

22 
4 

46 
14 
15 
9 
16 

6 

12 

50 

1 

6 

15 
I 

28 
4 
3 

7 
45 
37 

4 
55 

14 
7 

25 
3 

27 

6 

4 

33 



61 
9 

5 

10 
22 
547 
12 
26 

42 

119 

16 

86 



62 
636 

52 
6 
3 

43 

33 

579 

13 

28 

227 
10 
10 
30 
46 

17 
31 
42 



153 
24 
54 

4 

1 

104 



64 



5 

60 

17 

102 

6 

42 

7 



252 
64 
65 

85 

107 

1,162 

68 

213 

188 
486 
191 
376 
65 

126 

1,213 

1.094 

48 

48 

160 

330 

1,330 

128 

60 

264 
102 
50 
203 
228 

144 
83 

557 
53 

75 

147 
64 

168 
80 
84 

67 
241 
206 
124 
413 

38 
21 
150 

26 

524 

78 
80 

185 
15 

436 

23 
476 
182 



5-36 
206 
168 

489 
586 

2,609 
401 

1,152 

819 
2,098 
1,218 
1,616 

476 

449 

2,321 

1,154 

223 

142 

403 

833 

2,521 

382 

268 

1,133 
637 
394 

1,310 
954 

448 
439 
1,917 
267 
501 

861 
223 
891 
251 
258 

388 
720 
810 
613 
1,492 

550 

194 

576 

19 

1.104 

189 

273 
905 
189 

1,744 

113 
658 
829 



193 

47 
17 

14 
47 
336 
31 
89 

61 

170 

191 

70 

33 

47 
159 
159 
13 
20 

35 

84 

174 

33 

13 

63 
61 
55 
109 
99 

29 
97 
134 
14 
23 

116 
32 

198 
63 
37 

24 
85 
97 
36 
362 

16 
12 
59 

2 

84 

23 
31 

53 
18 

78 

8 

224 

66 



104 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1989 — Continued 



City by State 


Population 


Crime 
Index 
lolal 


Modified' 
Crime 
Index 
lolil 


Murder 
and non- 
negligenl 

m.-tn- 
slaughler 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglar,' 


1 aruenv- 
Ihell' 


Motor 

vehicle 
then 


Arson* 


OHIO— Continued 

Shcll'icld Lake 

Shclbv 


io.:80 

10.360 

18,168 
24.519 
12.430 
69.888 
41.853 

26,760 
35.673 
17,143 
20,951 
14.631 

19.766 
342.418 
20.479 
32.849 
33.150 

15.063 
37.160 
11.496 
12.661 
10.752 

11.757 
15.425 
51.891 
16.048 
12,511 

30,528 
25,172 
23.373 
14.792 
19.746 

19.997 
24.710 
24.107 
101.642 

16,677 
22,793 
23,708 
29,775 

21,063 
53.702 
15.812 
16.548 
24.623 

21.093 
13.396 
52.638 
10.631 
16.111 

46.363 
11,566 
83.188 
18.318 
13,465 


199 

474 

382 

569 

965 

6,036 

1,763 

666 

971 

508 

1,258 

505 

591 
32,680 

679 
1,296 
1,798 

288 
1.071 
521 
562 
662 

386 

448 

3.894 

795 

580 

1 .304 
588 

1.737 
377 
870 

1,102 

646 

1,374 

7,187 

900 
1.479 
1.870 
1.494 

1.071 
2.225 
1.466 
756 
1.747 

1.427 
930 

2,046 
632 
597 

3,244 
726 

4,697 
915 
883 


201 
474 

385 

576 

969 

6,061 

1.765 

673 
979 

1,261 
509 

600 
33,283 

690 
1,312 
1.800 

288 

522 
565 
665 

386 

451 

3,894 

805 

581 

1,314 
593 

1.742 
380 

1.105 

651 

1,377 

7.504 

918 
1,483 
1,881 
1,513 

1,075 
2,238 
1,481 
761 
1,754 

1 .435 
940 

2.066 
635 
606 

3.263 
736 

4.751 
918 
890 




1 


3 


33 
38 

7 

4 

1 

709 

44 

7 
5 
8 
1 
21 

23 

1.273 

12 

70 

9 

11 
17 
24 
10 

23 

4 

5 

440 

39 

7 

37 
7 
4 
6 

14 

8 

9 

23 

348 

75 

38 

111 

57 

13 
70 
82 
110 
48 

61 
29 
86 
12 
36 

233 
60 

411 
64 

27 


36 
86 

57 

84 

64 

1,151 

317 

102 

221 

96 

166 

112 

112 
7,431 
142 
223 
197 

43 
210 
75 
94 
80 

63 

73 

1.370 

164 

136 

299 
103 
426 
62 
138 

178 

136 

120 

2.616 

188 
510 
352 
296 

219 
464 
423 
153 
491 

464 
215 
488 
180 
170 

901 
229 
1.356 
201 
190 


123 
337 

291 

398 

880 

3,621 

1,302 

518 
680 
380 
975 
317 

439 

17,124 

487 

940 

1.459 

179 
814 
387 
406 
533 

300 

340 

1.534 

403 

403 

883 
424 
1.110 
233 
635 

837 

452 

1.149 

2.767 

586 

873 

1.278 

1,052 

739 
1,499 
870 
437 
953 

833 
619 
1,313 
397 
333 

1,969 
353 

2,527 
576 
614 


3 
13 

25 

70 

6 

271 

31 

34 
57 
21 
99 
44 

8 

4.836 

21 

47 

102 

41 
19 
19 
38 
18 

14 

20 

.301 

124 

22 

43 
47 
89 
68 

74 

57 

43 

60 

979 

40 
37 
94 
59 

81 
169 

67 

46 

201 

59 
62 
132 
35 
45 

79 
59 
238 
55 
46 


2 






Solon 




2 

1 

47 

16 


1 1 

13 

233 

51 

5 
7 
3 
13 
6 

4 
1,583 

9 
10 
18 

9 
10 
12 
10 


■{ 


South Euclid 


7 






4 


Spnngfieid 

Springfield Township 


4 
1 


25 


Slow 


7 




1 


8 












4 

5 

4 

392 

6 

6 

7 

5 
1 
3 
4 
8 

1 

6 

65 

9 

4 

13 

12 


3 


Tallmadge 

TifTin 




4 


1 
41 


9 


Toledo . 


603 


Tro\ 


1 1 


Union Township {Buller County) 

Union Township (Clermont Counlv) 


16 


6 


2 










1 


1 


Vandalia 


3 


Van Wert 




3 


Vermilion . 




4 

4 

177 

54 

8 

29 
4 

95 
8 
4 

8 

4 

15 

386 

8 
15 
26 
18 

14 
10 
13 
9 

45 

5 
5 
17 

4 
7 

37 

18 

120 

12 

4 








3 




7 
2 




Warrensville Heights .. 


10 


Washington Coun House 


1 


Westerville 




10 


Westlake 


1 
1 


5 


Whitehall 


5 


WJLklifTe 


3 






5 
13 

T 

7 
72 

3 

5 

5 

11 

4 
13 
9 
1 
6 

5 




WooMer 


1 


3 

5 


Xenia 




3 


Youngstown 


19 


317 


OKLAHOMA 

Ada 


18 


Alius 


1 

4 
1 

1 


4 


Ardmore 


11 


Bartlesville 


19 


Bethany 


4 


Broken Arrow 


13 




2 


15 


Claremore . . 


5 


Dei City 


3 


7 


Duncan 


8 




10 


Edmond 


2 


8 
4 
6 

24 
7 

42 
4 

1 


20 


Elk City 


3 


El Reno 


9 


Enid 


1 


19 


Guthrie 


10 


Lau ton 


3 
3 


54 


McAlester 


3 


Miami 


7 



105 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1989 — Continued 



Cily by Stale 



Population 



Crime 
Index 
total 



Modified* 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
Ihelt 



Motor 
vehicle 
theft 



OKLAHOMA— Continued 

Midwest City 

Moore 

M uskogee 

Mustang 

Norman 

Oklahoma City 

Okmulgee 

Owasso 

Ponca City 

Sand Springs 

Sapulpa 

Shawnee 

Stillwater 

Tahlequah 

Tulsa 

Village 

Warr Acres 

Wcatherford 

Woodward 

■\'ukon 

OREGON 

Albany 

Ashland 

Beaverton 

Bend 

Coos Bay 

Corvallis 

Eugene 

Forest Grove 

Gladstone 

Grants Pass 

Gresham 

Hermiston 

Hillsboro 

Keizer 

Klamath Falls 

La Grande 

Lake Oswego 

Lebanon 

McMinnville 

Medford 

Milwaukie 

Newberg 

Ontario 

Oregon City 

Pcndk-ton 

Portland 

Roseburg 

Salem 

Springfield 

The Dalles 

Tigard 

Tualatin 

West Linn 

Woodburn 



51.842 
41,132 
40,724 
11,078 

77,848 

431,982 
15,056 
11,218 
27,219 
15,603 

18.746 
25.926 
35.582 
13,346 
366.297 

12.073 
10.382 
10.372 
13.237 
26.075 



29.826 
16.625 
39.132 
19.745 

16.853 
40.539 
110.119 
12.456 
10.255 

18.532 
59.254 
10.448 
33.710 
20.978 

18.267 
11.804 
29.255 
11,121 
16,860 

46.492 
19.143 
12.395 
10.153 
15.851 

15.035 
425.788 
16.901 
99.090 
39.958 

10.571 
22,925 
12.925 
14.526 
12.212 



3.728 
2.448 
3.301 
392 
4.404 

48.320 
1.131 

331 
1.063 

800 

902 
2,566 
1.402 

579 
33.617 

798 
934 
374 
482 
920 



2.700 

981 

2.527 

1.904 

1.399 

2,802 

9,712 

599 

447 

1.900 
3.702 

529 
1,662 

915 

1.643 
551 
991 
821 

1.165 

3,897 
860 
590 

787 
1.019 

807 

54. .30 1 

1 .6 1 5 

9.076 

2.962 

817 
2.114 
719 
295 
993 



3.736 
2.466 
3.328 
392 
4.411 

48.786 

1.142 

333 

1.076 

810 

912 

2.585 

1.417 

581 

33.863 

798 
937 
376 
491 
926 



2.724 

984 

2.535 

1.907 

1.409 

2,825 

9,748 

610 

447 

1,909 

3.722 

530 

1,664 

928 

1.647 
553 

1.000 
825 

1,174 

3,906 
861 
594 

787 
1,023 

810 

54,860 

1.623 

9.125 

2.981 

819 
2.132 
719 
301 
996 



22 
19 

21 
1 

34 

352 
6 
1 



307 

8 
3 
1 
1 



27 
5 
1 

6 
9 

3 

415 

8 

42 

17 



85 
20 
103 

2 
36 

1.617 

31 

6 

8 

18 

18 
19 



1,416 



38 
10 
47 
10 

19 

20 

168 

9 

7 

23 
88 

5 
39 
24 



6 
3 
6 

28 

20 

7 

4 

15 

9 

:.fth7 

->-) 

256 
39 

10 
50 
13 
1 
21 



87 

127 

168 

10 

66 

2,277 

104 

5 

32 

22 

55 

224 

47 

16 

2.595 

11 
23 
9 
30 
15 



118 
21 
18 
54 

27 

37 

184 



105 
10 
15 
26 

50 

110 

8 

16 
II 

130 
18 
10 
23 
98 



4,932 
64 
76 
62 

24 
5 

10 
6 

24 



798 

760 

908 

97 

1.075 

13,675 

288 

66 

255 

191 

230 
770 
276 
227 
8.963 

150 
207 
119 
117 
234 



521 
151 
470 
278 

323 

481 

1.582 

143 

85 

314 
955 
121 
365 
202 

440 
59 
321 
190 
160 

581 
219 
94 
156 
194 

216 

12,380 

344 

1.897 

645 

131 
350 
209 

73 
186 



2.311 
1.337 
1.728 
269 
2.865 

23.736 
591 
216 
691 
489 

5.39 

1.387 

991 

278 
14.337 

535 
620 
231 
320 
626 



1.771 

727 

1.730 

1.454 

946 

2.145 

7.297 

.398 

280 

1.428 
2.023 

351 
1.103 

602 

1.051 
349 
607 
573 
911 

2.947 
473 
443 
556 
612 

511 

26.903 

1.093 

6,235 

2.025 

609 
1.613 
429 
198 
690 



424 
184 
363 
13 
328 

6.602 
109 

37 
72 
77 

54 

149 

70 

56 

5.967 

80 
57 
14 
12 
38 



56 

257 
104 

79 

98 

430 

39 

65 

104 
506 

39 
131 

56 

66 

25 
47 
37 
72 

182 

125 

35 

41 

89 

55 

6.966 

83 

569 

174 

43 
94 

54 
15 
66 



106 



Table 6. — Number of OfTenses knotin to (he Police. Cities and lowns lU.UOO and over in Population, 1989 — Continued 



( u\ h\ Suuc 



( rime 
Index 
total 



Modified' 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Foreibic 
rape 



Aggra- 
vated 
assault 



Burglary 



Liirceny- 
thcn 



Motor 
vehicle 
Iticfl 



PENNSYL\ANIA 



Aliquippa . . 
Allcniown . . 

Altoona 

Beaver Falls 



Bcrxv ick 

Bullcr 

Bullcr Township 

Carlisle 

Chambersburg 



Coal Tovinship 

Cranberrv' Township 

Darby 

Darby Township . . . 
Derry Township 



Dormonl 

East Hcmpfield Township 
East Lampeter Township 
East Nornlon Township . 
East Pennsboro Township 



Elizabeth Township 

Emmaus 

Ephrata 

Erie 

Exeter Township .. 



Fairview Township . 

Greensburg 

Greenville 

Hampden Township 
Hanoxer 



Harrisburg 

Hatfield Township 

Hermitage 

Horsham Township 
Indiana 



Lancaster 

Lancaster Township . . . 

Lansdowne 

Logan Township 

Lower Allen Township 



Lower Moreland Township . 
Lower Paxton Township — 
Lower Providence Township 

Lower Southampton 

Manheim Tow'nship 



Manor Township 
Marple Township 

McKeesport 

Meadxille 

Mechanicsburg . . . 



Middletown 

Millcreek Township 

Monessen 

Moon Township 

Mount Lebanon 



Murrysville 

Nether Providence Township 
New berry Township 



15,469 

105,531 

52,966 

10,794 

I5,I9S 
16,512 
17,655 
20.785 
16,271 

10,.56.3 
1.3,593 
10.8.34 
13.151 
17.405 

10.503 
19.401 
10.824 
13.723 
14.295 

16,151 
11.556 
13.262 
113.155 
16.522 

14.235 
16.993 
11.065 
19.782 
16.201 

51.883 
16,863 
16.542 
21,417 

14,827 

59,166 
11,536 
1 1,476 
12,640 
15.729 

1 3.342 
38.370 
20.023 
19.451 
28.299 

1 4.084 
22,350 
26.383 
13.613 
10.543 

10.533 
46.024 
10.092 
20.825 
32.582 

16.803 
12.961 
11.103 



507 
6.267 
1 .680 

478 

201 
603 
204 
899 

1.147 

171 
315 
504 
254 
620 

202 
652 
742 
464 
3.38 

176 
222 
424 
6.106 
509 

406 
805 
135 
.345 
750 

5.117 
349 
481 
530 
418 

3,878 
347 
214 
323 
498 

226 

1.406 

450 

664 

1,009 

302 
518 
820 
852 
295 

279 
1,136 
276 
481 
417 

338 
212 
338 



507 
6,286 
1,698 

492 

203 
604 
204 
907 
1,153 



171 
315 
506 
256 
620 

203 
655 
742 
464 
339 

177 
223 
427 
6.157 
511 

407 
813 

135 
347 
762 

5.148 
352 
483 
543 
419 

3.896 
349 
215 
324 
502 

226 

1.412 

452 

665 

1.010 

303 
522 
828 

300 

279 
1.151 
278 
482 
420 

338 
213 
346 



78 



13 

232 

32 

23 

3 
1 

3 

16 
25 



310 
6 

5 
6 
3 
1 
4 

437 
3 
6 
1 



163 
3 



106 

234 

86 

107 



44 

4 

54 

260 

11 

13 

140 

27 
24 



364 
23 

6 
72 
23 

8 
10 

698 

6 

20 

19 

22 

114 
1 

5 
16 

5 

1 1 

142 

7 

21 

16 

4 
17 
51 

7 
12 

4 

20 
22 
62 
18 

17 
16 
10 



no 

1,382 
519 
121 

45 
98 

25 
135 

175 

31 
57 
53 
24 
100 

30 
89 

95 
76 
63 

36 
30 
51 
1,474 
68 

78 

180 

45 

32 

109 

1.088 

57 
61 
66 
81 

1.003 
70 
47 
92 
60 

56 
201 

85 
108 
165 

52 

95 

209 

86 

42 

29 

279 
111 

70 

75 

64 
26 

57 



253 

3.879 

901 

191 

124 
436 
158 
658 
634 

116 

214 
225 
116 
479 

117 
529 
606 
349 
222 

120 
166 
335 
3.505 
389 

281 
489 
60 
294 
601 

2.505 
251 
357 
393 
293 

2,300 
245 
120 
190 
411 

130 
998 
296 

454 
751 

234 
358 
427 
731 

227 

223 
751 
128 
300 
295 

237 
150 
248 



23 
507 
124 

27 



20 
14 
33 
42 

13 
24 
39 
64 
13 

28 
18 
28 
18 
25 

17 
16 

28 

382 

20 

31 

50 

3 

10 
24 

300 
30 
34 
51 
21 

263 
28 
33 
21 

12 

27 
45 
53 
68 

55 

9 

47 
85 
21 



17 
64 
7 
43 
25 

16 
16 
20 



107 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1989 — Continued 



City by Slate 



Population 



Crime 
Index 
total 



Modified' 
Cninc 
Index 
total 



Murder 
and non- 
negtigcnt 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



PENNSYLVANIA— Conlinued 

New Castle 

New Kensington 

Newtown Township 

Northern York Regional 

North Huntingdon Township 

North Middlcton Township 

North Versailles Township 

Oil Cily 

Penn Hills 

Penn Township (Weslmoreland County) 

Penn Township (York County) 

Peters Township 

Philadelphia 

Pittsburgh 

Plum 

Poiistown 

Richland Township 

Rostraver 

Salisbury Township 

Sharon 

South Whitehall Township 

Springettsbury Township 

Spring Garden Township 

Spring Township 

Susquehanna Township 

Swatara Township 

Towamencin Township 

Unionlown 

Upper Allen Township 

Upper Darby Township 

Upper Dublin Township 

Upper Providence Township 

Uwchlan Township 

Warren 

Warwick Township 

Washington 

Washington Township 

Waynesboro 

West Goshen Township 

West Manchester Township 

West Norriton Township 

Whitehall 

Whilemarsh Township 

N'eadon 

York 

RHODE ISLAND 

Harrington 

Hristol 

Hurrillvillc 

Central Falls 

Coventry 

Cranston 

Cumberland 



29.954 
17.525 

12.509 
34.729 
29,573 
11.075 
12.409 

12.670 
54.090 
16.94.'! 
10.182 
13.984 

1.652.188 

376.412 

24.838 

24.166 

13.071 

10.874 
13.302 
15.609 
16.993 
21,497 

10.513 
18.548 
18.869 
19.852 
14.024 

12,610 
12.630 
85.208 
23,785 
11,466 

12,138 
10,714 
10,804 
17.455 
10,102 

10.062 
18.558 
1.3.332 
16.522 
13.783 

15,248 
12,599 
45,513 



16,177 
20,582 
17,022 
17,032 

3 1 ,068 
76,212 
28,504 



1.366 
380 

128 
1.016 
423 
142 
229 

376 
1.093 
130 
388 
219 

115.602 

33.407 

279 

867 

360 

.303 
270 
646 
614 
687 

445 
134 
714 
800 
251 

715 

127 

2.590 

353 

94 

186 
291 
108 
1 . 1 32 
218 

262 
555 
1,015 
340 
105 

520 

525 

3,445 



235 
443 
212 
807 

846 

3,009 

857 



1,441 
381 

131 

1,019 

424 

142 

229 

379 
1,109 
130 
396 
219 



33.909 
282 
867 
364 

304 
271 
655 
618 
688 

445 
134 
719 
801 
252 

719 

127 

2.592 

359 

95 

192 
296 
111 
1.146 
222 

267 
573 
1.018 
343 
106 

523 

526 

3,459 



236 
443 
212 
807 

862 

3,043 

866 



475 
31 



784 
219 



1 
4 

10.233 

2,471 

3 

15 

3 

3 
1 

15 
4 

II 

4 

3 

25 

II 



33 



30 
168 



71 
53 

1 
12 
21 

1 
17 

5 
52 
3 
2 
15 

6.562 

1.858 

28 

50 

58 

14 
1 

37 
9 



26 

24 
5 

45 
13 
113 
11 
10 

20 

4 

3 

121 

20 

6 

23 

7 
17 



460 
71 

24 
183 
84 

25 
48 

67 
255 
29 
54 
56 

21.896 

8.109 

61 

180 

72 

40 
31 
200 
84 
85 



32 
99 
136 



628 
185 

86 
756 
283 
107 
113 

277 
484 
90 
314 
132 

50.609 

12.669 

160 

568 

211 

216 
220 
321 
489 
567 

308 
90 

496 
570 
210 

419 



3.30 


1.735 


100 


187 


24 


53 


30 


126 


42 


226 


19 


72 


264 


617 


41 


139 


22 


224 


74 


404 


108 


863 


62 


229 


20 


64 


98 


324 


120 


267 


649 


2,329 



41 


167 


160 


234 


84 


105 


298 


259 


217 


528 


726 


1.645 


230 


525 



149 
45 

17 
47 
30 
8 
43 

21 

266 

7 

15 

12 

25,043 
8,050 

25 
48 
12 



17 
70 
28 
22 

21 

9 

60 

50 

7 

52 
2 

320 
46 

7 

7 
18 
13 
82 
16 

9 
46 
30 
28 

18 

83 
80 
189 



12 

34 

16 

168 

52 

487 

81 



108 



I able 6. — Number of Oflenses Known tu Ihe Police, Cities and Towns 10,000 and over in Population, 1989 — Continued 



City by Stale 



I'upiil.ilmn 



Crime 
Index 

tolal 



Modiried* 
(rime 
Index 
lolal 



Murder 
and non- 
ncgligcnl 

man- 
^laughtc^ 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
Ihcn 



Motor 
vehicle 
theft 



RHODE ISLAND— Continued 



Greenwich 

East Providence 

"jlocester 

ohnslon 

.incoln 

vliddlelown 

>larragansett 

vi'cw port 

>Jonh Kingstown 

^onh Providence 

■Jorth Smithfield 

•awiuckei 

Portsmouth 

^rovidence 

>ini(hrield 

>oulh Kingstown 

rivenon 

A^arren 

Varwiclc 

-Vesterly 

Vest Warwick 

A/oonsockei 

SOUTH CAROLINA 

\iken 

Xnderson 

Tayce 

Tharleston 

Tolumbia 

Tonway 

Easley 

Florence 

Gaffney 

Georgetown 

Goose Creek 

Greenville 

Greenwood 

Greer 

Hanahan 

Irmo 

Lancaster 

Laurens 

Mount Pleasant 

Mynle Beach 

Newberry 

North Augusta 

North Charleston 

Orangeburg 

Rock Hill 

Simpsonville 

Spartanburg 

Summery ille 

Sumter 

Union 

West Columbia 

York 



10.628 
52,08: 

10.085 
27.278 
18,219 
17,907 
12,960 

27,800 
24,171 
31,420 
11,120 
74,081 

16,570 
157,030 
19,335 
22,321 
14,498 

11,502 
87,182 
20,069 
29,218 
44,933 



19,296 
29,824 
10,437 
82,032 

95,982 
14.649 
18.607 
32,780 
13.829 

11.298 
30.452 
59.922 
22.798 
14.618 

13.130 
11.946 
10.498 
10.691 
26.160 

30.098 
10.002 

17,281 
75,654 
15,752 

44,352 
15,064 
46,113 
19.083 
31.242 

10.367 
11.004 
10.022 



407 
1.525 

143 
1.281 
821 
601 
500 

2.568 
837 

1.243 
378 

3.619 

263 
17.877 
270 
698 
414 

268 
5.615 

763 
1.131 
2.146 



1,522 

2.231 

831 

4.330 

12.125 

873 

879 

2,384 

921 

1,357 
706 
6.833 
1.923 
1.010 

781 
531 
818 
726 
1.717 

3.991 
216 
698 

7.854 
1.767 

4.587 
406 
6.341 
1.353 
2,770 

227 

1,275 

533 



409 
1.551 

143 
1.292 
8.30 
602 
505 

2.602 
842 

1.256 
379 

3.620 

263 
18.268 
276 
703 
418 

268 
5.664 

764 
1.131 
2.169 



1.534 

2.240 

833 

4.338 

12.169 

876 

880 

2.393 

925 

1.369 
708 
6.850 
1.934 
1.019 

786 
531 
821 
726 
1.721 

3.995 

216 

701 

7,903 

1.773 

4.614 

408 

6,357 

1,356 

2.775 

230 

1.276 

534 



10 



2 
109 

7 



734 



51 

54 

10 

147 

444 

26 

6 

112 
15 

34 

7 

233 

28 

18 

3 
4 
13 
10 
14 

89 

5 

22 

277 

67 

85 

14 

279 

31 

72 



24 
14 

129 
22 
44 
49 

166 

4 
931 

1 
15 
6 

3 

337 

11 

25 

158 



85 
256 
105 
489 

1.357 

132 

58 

276 

119 

157 
24 
537 
445 
103 

52 
22 
121 
132 
96 

103 

36 

62 

618 

136 

478 
33 

826 
96 

374 



126 
324 

49 
298 
148 
139 
109 

538 
223 
279 
145 
1.114 

84 
3.860 

95 
139 
120 

53 
871 
231 
187 
558 



357 
552 
174 
854 

2.025 

89 

185 

542 

223 

328 
129 
1.265 
405 
202 

222 
67 
143 
169 
357 

1.050 
27 

166 
1.731 

393 

938 
102 
1,423 
336 
533 

26 

275 

87 



236 
895 

81 
641 
411 

375 
332 

1,643 
543 
583 
160 

1.558 

150 
7,870 
107 
486 
239 

197 

3,197 

475 

822 

1,173 



943 
1,204 

481 
2,546 

7,110 
593 
592 

1,314 
525 

804 
512 
4.418 
976 
620 

463 
430 
505 
372 
1.184 

2.547 

135 

397 

4.450 

1.051 

2.843 
233 

3.418 
816 

1,635 

118 
759 
331 



27 
240 



310 

256 

55 

40 

202 

47 
312 

22 
666 

23 
4.345 
57 
46 
43 

15 

1.162 

41 

88 

204 



82 
151 

58 
253 

1.093 

29 

33 

111 

32 

30 
26 
323 
45 
57 

34 
5 
31 
36 
61 

184 
12 
46 

688 
95 

213 
15 

334 
64 

138 

14 

104 

19 



109 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1989 — Continued 



Cily by State 



Population 



Crime 
Index 
total 



Modified" 
Crime 
Index 
total 



Murder 
and non- 
negligcnt 

man- 
slaughter 



Forcible 
rape 



Aggra- 
vated 
assault 



Burglar) 



Larccny- 
iheft 



Motor 
vehicle 
theft 



SOUTH DAKOTA 

Aberdeen 

Brookings 

Huron 

Milchell 

Rapid Cily 

Sioux Falls 

Wateilown 

Yankton 

TENNESSEE 

Athens 

Brentwood 

Bristol 

Ctiatlanooga 

Clarksville 

Cleveland 

Collierville 

Columbia 

Cookeville 

Dyersburg 

East Ridge 

Franklin 

Gallatin 

Germanlown 

Goodletlsville 

Greeneville 

Jackson 

Johnson City 

Kingsport 

KnoxviUe 

Lawrenceburg 

Maryville 

McMinnville 

Memphis 

Millinglon 

Morrislown 

Murfreesboro 

Nashville 

Oak Ridge 

Red Bank 

Shelbyville 

Smyrna 

Springfield 

Union City 

TEXAS 

Abilene 

Alamo 

Alice 

Allen 

Alvin 

Amarillo 

Andrews 

Angleton 

Arlington 

Athens 

Austin 



25,809 
14.478 
12.283 
13.666 

55.929 
99.875 
16,885 
11.661 



12,190 

16.974 

23.614 

164.155 

73.283 
26.782 
12.301 
29.174 
24.794 

1 5,944 
21,626 
20,243 
20,859 
32,010 

10,535 
15,026 
53,807 
43,746 
31.727 

173.651 
11.333 
18.336 
11,161 

651,081 

18,003 
20,990 
46,238 
501,398 
27,973 

13,139 
13,795 
16.883 
11.676 
10.394 



110.100 
10.454 
21.170 
18.345 

18.870 

167,516 

12,866 

15,267 

259.796 

11.514 
468,907 



1,148 
464 
408 
926 

3.540 

4,491 

805 

460 



427 

222 

1,389 

15,848 

3.503 

1.904 

344 

1,723 

715 

1,522 
1,134 

911 
1,059 

433 

991 

620 

5,082 

2,637 

2,862 

12,523 
488 
891 
459 

57.829 

511 

1,198 

2,473 

34.950 

1,347 

499 
496 
652 
826 
866 



6,695 
413 

1,875 
546 

1.229 

13.793 

263 

924 

22,376 

836 
50,028 



1,157 
464 
408 
934 

3,573 

4,515 

805 

462 



428 

222 

1,401 

16,003 

3.534 
1,911 

345 
1.737 

715 

1,525 
1,143 

912 
1,059 

434 

992 

620 

5,105 

2,651 

2.873 

12.628 
490 
895 
470 

58.464 

513 
1.212 
2,484 

1,355 

499 
496 
656 
826 
868 



6,737 
413 

1,886 
547 

1,232 

13.872 

265 

924 

22.492 

837 
50.512 



1 
1 

6 
187 

43 

21 

3 

9 

1 



26 

26 

4 

79 

4 

9 

4 

781 



9 
15 

478 
3 



69 



3 
235 



5 

7 

12 

700 

53 
20 



29 
25 
21 

15 
7 

14 

9 

177 

48 

29 

442 

4 

14 

1 

3.781 

13 

8 

32 

1.608 

9 

6 
9 
9 

24 
1 



173 
3 
9 
4 



271 
1 
9 

552 

10 
1,019 



19 
4 
10 

21 

142 

192 

12 

12 



13 

12 

105 

1,834 

337 

162 

15 

68 

18 

191 

51 

109 

144 
4 

39 

2 

614 

78 

145 

1,060 
61 
33 
36 

3.327 

88 

19 

119 

3,075 

98 

38 
20 
33 
177 
62 



491 
27 
96 
17 

59 

595 

19 

70 

899 

37 
1,320 



140 


926 


52 


378 


67 


318 


229 


641 


487 


2.692 


694 


3.305 


101 


658 


64 


356 



80 

36 

250 

4.000 

690 
541 
37 
464 
206 

255 
228 
141 
196 
43 

127 
131 
1.296 
612 
429 

3.989 
92 
183 
104 

1 5.072 

112 

233 

505 

8.062 

299 

122 
213 
283 
160 
215 



2,486 
161 
560 

152 

226 

3,370 

81 

169 

5,177 

255 
11,160 



285 

153 

967 

7,333 

2,222 
954 
244 

1,106 
435 

1,001 
708 
590 
670 
355 

724 

410 

2,718 

1,700 

2,086 

4,986 

293 

557 

263 

22,177 

232 

759 

1,672 

18,989 

872 

280 
207 
252 
428 
556 



3,181 
180 

1.158 
359 

830 

8.884 

148 

619 

13.018 

514 
33.556 



49 
26 
11 
29 

151 
172 
29 
24 



42 

13 

47 

1,780 

154 

203 

36 

52 

47 

42 
113 
41 
24 
21 



66 

247 
170 
164 

1.941 

34 

95 

51 

12.550 

57 

169 

127 

2.669 

65 

51 
43 
61 
28 
27 



288 
42 
40 
13 

98 

579 

14 

50 

2.631 

16 

2.707 



110 



I able 6. — Number of Offenses Known to the Police. Cities and Towns 10,000 and over in Population, 1989 — Continued 



Cilv b> Slalc 



Populalion 



Crime 
Index 
(otui 



Miidirii-d* 
Crime 
Index 
total 



Murder 
and non- 
negligcnt 

man- 
slaughter 



Forcible 
rape 



Rohber>' 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



TEXAS — Continued 

Balch Springs 

Bay City 

Baytown 

Beaumont 

Bedford 

Beeville 

Bellaii^ 

Bellon 

Benbrook 

Big Spring 

Borger 

Brenharti 

Brownfield 

Brownsville 

Brownwood 

Bryan 

Burkbumelt 

Burleson 

Canyon 

Carrolllon 

Cedar Hill 

Cleburne 

College Station 

Colleyville 

Conroe 

Coppell 

Copperas Cove 

Corpus Christi 

Coi^icana 

Dallas 

Deer Park 

Del Rio 

Denison 

Demon 

DeSoto 

Donna 

Dumas 

Duncanville 

Eagle Pass 

Edinburg 

El Campo 

El Paso 

Ennis 

Euless 

Farmers Branch 

Flower Mound 

Forest Hill 

Fort Worth 

Freeport 

Friendswood 

Gainesville 

Galena Park 

Galveston 

Garland 

Georgetown 

Grand Prairie 

Grapevine 



20.484 

18,648 
63.097 

115.246 
36,024 
15,298 
14.430 
13,451 

20,101 
25.237 
14.954 
13.179 
10,171 

105.458 

17,578 
60.958 
10,908 
18,708 

11.382 
69,818 
18,022 
24,460 
44.076 

10,898 
22,775 
12,704 
22,886 
263,298 

23,562 
996,320 
26,569 
35,671 
24,208 

58,244 
29,687 
13,239 
12,543 
36,781 

27,417 
33,380 
10,626 
515,607 
14,077 

29,475 
28,759 
11,332 
15,661 
430,481 

11,433 
24,359 
14,208 
10,404 
57,235 

182,088 
16,690 
99,788 
24,813 



1,697 
1.445 
5,735 

12,432 

2,229 
975 
688 
536 

605 
2,081 
690 
529 
634 

9,812 

1 ,436 

5,012 

352 

930 

267 

5,253 

965 

1,437 

3,174 

248 
2,466 

566 

1,160 

28.257 

2,087 

166,451 

856 

1,690 

2,364 

6,082 

1,840 

849 

287 

2.286 

1.081 

1,285 

600 

54,774 

1,009 

2,334 

2,279 

516 

1.037 

67,538 

716 
539 

1.252 
325 

7,032 

11,219 

928 

8,577 

1,227 



1,709 
1,445 
5,773 

12,479 

2,241 
975 
693 
538 

606 

2,127 
694 
532 
639 

9.831 

1.450 

5,029 

352 

934 

270 
5.260 

965 
1,471 
3,178 

248 

568 

1,163 

28,382 

2,101 

167,849 

859 

1 ,703 

2,379 



1.854 
849 
287 

2,329 

1.082 

1,296 

602 

55,113 

1,018 



2,282 

521 

1,039 

67,912 

719 
540 

1,260 
331 

7,092 

11,293 

930 

8,582 

1,233 



19 



351 



1 
113 



41 

144 

24 

2 



3 
19 

193 

20 
1.185 



241 
4 

17 

3 

4 

11 

454 

5 
I 
2 



60 

118 

4 

47 

5 



12 
139 

583 

29 

7 

9 

4 

9 
45 
5 
8 
3 

155 

II 

75 

4 

5 

1 

76 
17 
II 
29 

1 

47 

5 

1 

570 

27 

9,442 

8 

9 

23 

92 

47 

2 

1 

41 



1,139 
6 

37 

32 

1 

40 

2,525 

5 
2 
9 

7 
278 

178 

9 

196 

12 



126 

41 

202 

889 
36 
56 

32 
34 

16 

153 

7 

62 

66 

505 

108 

344 

19 

6 

7 
85 
30 

22 
74 

9 

174 

31 

119 

1,212 

80 
10,250 

62 
143 
184 

304 
24 

129 

1 

59 

34 

118 

27 

3,301 

24 

93 
49 
33 
52 
3.576 

36 

20 

53 

5 

206 

316 

54 

405 

34 



431 

290 

1,320 

3,752 
420 
241 
148 
146 

132 
470 
168 
91 
177 

2,451 
338 

1,333 
103 
199 

61 

1,215 

363 

162 

563 

72 

519 

224 

237 

6,948 

427 
38,652 
278 
340 
433 

1,804 

510 

226 

54 

548 

200 

357 

127 

11,418 

330 

509 
491 
189 
283 
17,216 

146 
153 
334 
113 
1,487 

2,959 
216 

2,174 
330 



978 
1,083 
3,263 

6,162 

1,556 

652 

401 

339 

375 
1,338 
473 
349 
372 

5,043 
906 

2,951 
197 
628 

188 
3.359 

496 
1,157 
2,285 

152 

1,508 

279 

751 

18,127 

1,431 

79,272 

454 

1,134 

1,611 

3,560 

1,076 

452 

221 

1,400 

755 
697 
400 
33,242 
553 

1,462 

1,417 

271 

528 

34,680 

466 
327 
771 
170 
4,309 

6,603 
595 

4,498 
750 



139 

16 

766 

880 

164 

15 

97 

10 

67 
64 
34 
15 
14 

1.591 

51 

265 

29 

89 



500 
52 
82 

210 

13 

204 

24 

33 

1,188 

99 

27,299 

53 

64 

108 

289 

174 

40 

9 



96 

38 

5,392 

92 

213 

287 

18 

122 

8,974 

57 
36 
82 
28 
679 

1,036 
49 

1,247 
94 



111 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1989 — Continued 



City by State 



Population 



Cnme 
Index 
total 



Modified* 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Bui^ary 



Larceny- 
theft 



Motor 
vehicle 
theft 



TEXAS — Continued 

Groves 

Haltom City 

Harlingen 

Henderson 

Hereford 

Houston 

Humble 

Huntsville 

Hurst 

Irving 

Jacinto City 

Jacksonville 

Kaly 

Keller 

Kerrville 

Kilgore 

Killeen 

Kingsville 

Lake Jackson 

La Marque 

Lamesa 

Lancaster 

La Porte 

Laredo 

League City 

Leon Valley 

Levelland 

Lewisville 

Live Oak 

Longview 

Lubbock 

LufVin 

Mansfield 

Marshall 

McAllen 

McKinney 

Mercedes 

Mesquite 

Midland 

Mineral Wells 

Mission 

Missouri City 

Mount Pleasant 

Nacogodoches 

Nederland 

New Braunfels 

North Richland Hills 

Odessa 

Orange 

Palestine 

Pampa 

Pans 

Pasadena 

Pearland 

Pecos 

Pharr 



16,307 

33,370 
56.932 
11,746 
15,045 
1,713,499 

12,634 
33,471 
33,965 
134,207 
11,059 

13,148 
11,553 
11,271 
19,717 
11,846 

65,519 
27,709 
21,059 
15,318 
11,049 

22,371 
26,115 
125,862 
26,751 
13,068 

14,420 
32,058 
10,282 
72.623 
189,797 

32,169 
14,248 
24,056 
88,062 
21,937 

14,531 
93,965 
96,750 
15,480 
34.006 

34,329 
11.594 
28.819 
16,428 
29.152 

49,646 
95,872 
24,349 
19.828 
20,262 

26,185 
117.941 
17.649 
12.482 
32,422 



637 

3,545 

4,468 

972 

878 

185,334 

2.023 

1,880 

2,796 

1 3,679 

459 

1,194 
226 
416 
811 
839 

4,745 
2,092 

831 
1,038 

530 

1,309 

1,074 

11,001 

886 

819 

541 

4.334 

424 

6.022 

14,411 

2,908 
951 
1,755 
9,698 
1,686 

506 

10,034 

6,129 

1,070 

1,751 

1,779 
717 

1,834 
742 

2.109 

3,091 
11,873 
2,495 
1,521 
1,352 

3,366 

10,112 

1,078 

523 

2.890 



637 

3,548 

4,477 

972 

887 

187,308 

2,024 

1,880 

2,798 

13,764 

460 

1,195 
226 
424 
814 
848 

4,981 
2,113 

835 
1,039 

537 

1,329 

1,080 

11,057 

903 

821 

548 

4.358 

424 

6.050 

14,457 

2.912 
954 
1,769 
9,720 
1.686 

508 

10,058 

6,142 

1,074 

1.753 

1.804 
724 

1,843 
744 

2.122 

3,098 
1 1 ,930 
2,509 
1,531 
1,356 

3,395 

10,219 

1,088 

524 

2,900 



5 
3 
1 
1 
459 



10 



6 

2 
1,152 

3 

8 

29 

68 

4 



17 

4 

69 

119 



3 

42 

41 

21 

2 

9,820 

30 
45 
64 
230 
10 

19 



1 
5 
9 

82 
15 

6 
19 

4 

18 
18 

156 
9 

7 

2 

39 

3 

124 

268 

36 

5 

26 

95 

37 

4 
204 
106 

g 
10 

36 

14 

35 

7 

24 

42 
124 
161 

28 

5 

48 

148 

9 

6 



11 

46 

192 

80 

111 

i.097 

59 

73 

114 

347 

13 

125 
10 
27 
56 
41 

102 

175 

12 

10 

76 

II 

46 

965 

7 

6 

54 

53 

16 

256 

576 

87 

41 

145 

345 

231 

65 
331 

281 

76 

113 

64 
30 

122 
5 

224 

87 
267 
161 

172 

57 

296 

664 

59 

40 

92 



154 

1.141 

1.028 

189 

140 

47,043 

258 

400 

439 

2,616 

96 

273 
57 
152 
197 
220 

1,229 
646 
114 
341 
143 

419 
283 
2.158 
228 
163 

101 

1.042 

79 

1.724 

3.520 

797 
191 
424 
1.782 
419 

180 
2.098 
2.206 

302 

373 

711 
200 
495 
135 
484 

793 
2,581 
610 
333 
392 

550 

2,121 

237 

96 

622 



436 

1,870 

2,811 

609 

578 

81,758 

1.237 
1,263 
1,828 
8.900 
264 

725 
144 
212 
497 
514 

3,044 

1.171 

658 

595 

295 

710 

592 

6.948 

545 

537 

364 
2.763 

291 
3,471 
9.222 

1.827 

659 

1.049 

6.584 

883 

204 
6.195 
3.162 

613 
1.111 

818 
421 

1,091 
544 

1,280 

1,836 

8,438 

1,439 

901 

830 

2,243 

5,860 

612 

373 

1,889 



32 

420 

393 

66 

44 

37,005 

435 
90 

322 

1.507 

72 

43 
14 
21 
46 
46 

205 
63 
39 
57 
10 

146 
120 
757 
85 
103 

20 
415 

31 
366 
691 

133 
49 
96 

879 
97 

42 

1,178 

321 

66 
137 

147 

50 
75 
50 
95 

316 

396 

99 

68 

55 

199 
1.260 

155 

6 

259 



112 



Table 6. — Number of Offenses knonn to the Police, Cities and Towns 10,000 and over in Population, 1989 — Continued 



Population 



Crime 
Index 
total 



Modified" 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Aggra- 
vated 
assault 



Burglao' 



Larceny- 
then 



Motor 
vehicle 
then 



TEXAS — Continued 

Plainx lew 

Piano 

Pen Anhur 

Portland 

Port Lavaca 

Port Neches 

Raymondville 

Richardson 

Richmond 

Robstown 

Rockwall 

Rosenberg 

Round Rock 

Rowlelt 

San Angelo 

San Antonio 

San Benito 

San Juan 

San Marcos 

Schenz 

Seguin 

Sherman 

Snyder 

South Houston 

Stephenville 

Sugar Land 

Sulphur Springs 

Sweetwater 

Taylor 

Temple 

Terrell 

Texarkana 

Texas City 

The Colony 

Tyler 

Universal City 

University Park 

Uvalde 

Vernon 

Victoria 

Vidor 

Village 

Waco 

Watauga 

Waxahachie 

Weatherford 

Weslaco 

West University Place 

White Settlement 

Wichita Falls 

UTAH 

American Fork 

Bountiful 

Brigham City 

Cedar City 

Centerv ille 



22,543 
119,868 

60, 1 .■; 1 

12,119 
1 1 ,403 

14,077 
10,050 
77,779 
18,900 
12,997 

12,462 
22,008 
25,207 
16,953 
88,133 

949,691 
22,129 
12,079 
29,758 
10,081 

21,392 
31,301 
12,593 
15,025 
13,411 

23,754 
14,117 
12,089 
12,704 
47,033 

14,410 
33,410 
40,787 
32,906 
75.418 

12,896 
25.378 
16,650 
12.341 
55.832 

12.260 
11,477 
104,358 
21,907 
18,940 

19.132 
25,519 
13,370 
20,202 
98,758 



15,548 
34,348 
16,780 
12,143 

11,557 



1,530 

6.810 

5.703 

511 

554 

546 
482 
4.711 
787 
901 

587 
1.751 
1.353 

672 
6,856 

120.768 

961 

1.008 

1.860 

522 

1,755 

3.597 

298 

1.322 

724 

676 

1.014 

704 

862 

3.268 

1.423 
3,569 
4,090 
928 
8,770 

815 
1,038 

524 

747 

3,734 

433 

328 

13,277 

582 

2,156 

1,080 

2,019 

447 

1,167 

11,058 



760 

1.077 

568 

587 



1,541 

6,849 

5,753 

511 

558 

547 
484 
4,727 
787 
903 

589 
1,797 
1,355 

674 



121,667 

968 

1,009 

1,878 

524 

1,762 

3,604 

298 

1,326 

725 

681 

1,032 

706 

874 

3,278 

1,425 
3,608 
4,120 
929 
8.801 

815 
1.038 

524 

765 

3.745 

435 

330 

13.331 

583 

2.165 

1.088 

2.025 

447 

1.169 

11.188 



760 

1,085 

569 

587 



2 

5 

168 



3 
4 
28 
5 
3 

3 
6 
19 

7 
55 

477 

7 

6 

23 



64 



20 

72 

182 

I 

3 

5 

2 

78 

23 

10 

7 
42 
10 

4 
54 

2,710 

13 

5 

23 

4 

24 
48 

3 
31 

1 

10 

13 

7 

19 
47 



97 

7 

183 

9 

23 

2 

6 
54 

7 

6 

326 

5 

23 

9 
9 
13 
4 
260 



120 

206 

605 

15 

34 

16 
97 
104 
87 
46 

6 

172 

93 

23 

394 

1.898 

78 

69 

103 

38 

136 
90 
22 
38 
21 

7 

70 

31 

45 

159 

75 
141 
170 

10 
338 

33 

6 

56 

77 

326 

13 
6 

718 

5 

144 

33 

112 

1 

13 
396 



338 

1.593 

1.992 

151 

133 

93 

154 

1.249 

230 

367 

142 
327 
258 
246 
1,708 

28.467 
314 

274 

349 

77 

509 
847 
33 
299 
135 

184 
202 
157 
202 
751 

380 

1,034 

997 

220 

2,307 

203 
194 
156 
255 
1,002 

106 
105 
3,941 
128 
451 

283 
503 
158 
179 
3,171 



101 

175 

51 

83 



317 



317 



97 



996 

4,347 
2,580 

322 
373 

385 
216 
2.910 
393 
426 

380 

1.108 

924 

357 

4.426 

71,785 

462 

600 

1,223 

380 

1.026 

2,421 

229 

705 

544 

400 
658 
479 
567 
2,098 

811 
2,126 
2,541 

655 
5,461 

520 
703 
280 
378 
2,176 

277 
195 

7,385 
403 

1,344 

701 

1,213 

204 

827 

6,500 



631 
818 
455 
459 

205 



44 

563 

298 

21 

11 

42 

9 

340 

47 
48 

49 
96 

47 

35 

214 

15,263 
87 
53 
138 
23 

44 

175 

8 

247 

22 

73 
65 
28 

24 
154 

81 
159 
249 

35 
407 

48 
110 
27 
24 
154 

29 
16 

780 
41 

172 

48 
179 

66 
141 
639 



113 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1989 — Continued 



Cily by Slate 



Population 



Crime 
Index 
total 



Modified* 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
then 



Motor 
vehicle 
theft 



UTAH— Continued 



Clearfield 
Kaysville 
Layton .. 
Logan . . . 



Midvale 

Murray 

Noilh Ogden . . 

Ogden 

Pleasant Grove 



Prove 

Roy 

St. George — 
Salt Lake City 
Sandy 



South Jordan . . , 
South Salt Lake 
Spanish Fork .. 

Spnngville 

Tooele 



West Jordan 



Barre 

Bennington 
Braltleboro 
Burlington 



VERMONT 



Colchester 

Rutland 

South Burlington 
Springfield 



VIRGINIA 



Alexandria 

Alexandria State Police 

Arlington 

Arlington State Police 



Blacksburg 

Bristol 

Bristol State Police 

Charlottesville 

Charlottesville State Police 



Chesapeake 

Chesapeake State Police 

Christiansburg 

Colonial Heights 

Colonial Heights State Police 



Danville 

Fairfax City 

Fairfax City Stale Police .. 

Fredericksburg 

Fredericksburg Stale Police 



Front Royal 

Hampton 

Hattiplon Stale Police ... 

Harrisonburg 

Harrisonburg Stale Police 



22.841 
13,103 
37,035 
28,469 

11,436 
29.974 
11.426 
66.999 
18.134 

74.000 
25.084 
23,205 
154,304 
73,869 

12.598 
12.931 
11.264 
13,638 
15,537 

50,653 



109.888 
156,115 



29,591 
17,639 



42,171 



149.8.30 



12.651 
18,551 



54,133 
21.795 



23.519 



13.016 
132,596 



824 

276 

2.028 

1,338 

1.281 
3.444 

216 
6.167 

549 

3,493 
1,033 
1,152 

21.781 
2,896 

235 
1,978 
593 
478 
723 

2,027 



10,437 


364 


16,632 


667 


12.511 


1.035 


37,769 


3,726 


16,103 


681 


18,463 


1,268 


12,451 


988 


10.233 


320 



26.864 



7,951 

4 

9.337 



1 .050 
953 

1 

2,842 

1 

7,155 

10 

809 

681 

2 

1,742 

1.075 

1 

731 

13 

668 

7.769 

11 

1 .5 1 3 
5 



832 

277 

2.030 

1,339 

1.281 
3.450 

216 
6.183 

549 

3,499 
1.033 
1.153 
21.889 
2,899 

235 

1,988 

593 

479 

723 

2,027 



7.992 

4 

9.382 



1.058 
962 

1 
2.848 

1 

7.252 

10 

809 

681 

2 

1,744 

1. 114 

1 

731 

13 

673 

7.825 

II 

1,519 

5 



3 
4 
11 
9 

3 
11 

2 
42 

6 

25 

6 

5 

136 

8 



33 



96 
I 

14 
1 

4 

484 

18 



23 



3 


10 


8 


27 


1 


4 


8 


4 


6 

1 


10 



383 
291 



75 



227 
1 

4 
10 



13 



in 



16 
I 

6 

213 

I 

17 



20 
14 
85 
26 

16 
66 

2 

178 

32 

126 
97 
15 

559 
59 

12 
54 



271 
394 



124 
1 

302 



27 
189 



141 

57 
272 
141 

202 

452 

10 

1.028 

97 

509 
122 
156 
3.854 
523 

55 

332 

92 

71 

134 

281 



57 
135 
169 
868 

245 

254 

118 

57 



1.271 
1.267 



188 

77 

659 



1.618 

1 

133 

47 



280 
112 



103 



77 
1.211 



617 

184 

1.545 

1.134 

1.005 
2.743 

200 
4.548 

387 

2.673 

769 

905 

15,510 

2.178 

162 
1.470 
480 
372 
533 

1,677 



269 
483 

787 
2,581 

402 
882 
781 
248 



4,856 
3 

6,194 
4 

818 

791 

1 

1.841 



27 



246 



4,358 

6 

611 

569 

2 

1,275 

815 

1 

531 

9 

519 
5,663 

9 
1,148 

5 



37 

17 

104 

24 

47 

143 

2 

269 

26 

146 

38 

67 

1.220 

110 

4 
90 
17 
13 
29 



25 
35 
42 
173 

23 
90 
55 
10 



1,105 
1 

1.149 
4 

17 
42 

120 



603 

2 

42 

27 



72 
104 



35 



35 

449 

I 

64 



114 



Table 6. — Number of Offenses Known lo the Police, Cities and lonns 10,000 and over in Population, 1989 — Continued 



Cit\ h\ State 



Population 



Crime 
Index 
total 



ModineJ" 
C rime 
Index 
total 



Murder 
and non- 
neghgtnt 

man- 
slaughter 



Forcible 
rape 



Aggra- 
vated 
assault 



Burglary 



Larcenv- 
then' 



Motor 
vehicle 
theft 



VIRGINIA— Coniinued 



Hemdon 

Hopewell 

Lccsburg 

Lynchburg 

Lynchburg Slate Police 



Manassas 

Maninsvillc 

Newport News 

Newport News Stale Police 
Norfolk 



Norfolk State Police .. 

Petersburg 

Petersburg State Police 

Poquoson 

Portsmouth 



Portsmouth Stale Police 

Radford 

Richmond 

Richmond State Police 
Roanoke 



Roanoke Stale Police 

Salem 

Salem Slate Police ... 

Staunton 

Staunton Stale Police 



Suffolk 

Suffolk State Police 

Vienna 

Virginia Beach 

Virginia Beach Stale Police 



Waynesboro 

Waynesboro Slate Police 

Williamsburg 

Williamsburg State Police 

Winchester 



Winchester State Police 



WASHINGTON 



Aberdeen 
Anacones 
Auburn 
Bellevue 



Bellingham . 

Bothell 

Centralia ... 
Des Moines 
Edmonds 



Ellensburg 

Everett 

Kelso 

Kennewick 
Kent 



Kirkland 

Lacey 

Longview 

Lynnwood . . . 
Mercer Island 



20.4.17 
25.039 
1 .1.50.1 
70.758 



23.620 

17.639 

162.298 



290.434 



43.084 



11,252 
108,976 



13.483 
216.229 



99.042 



25.343 
24,836 



52.917 



17.598 
370.316 



19.666 

12.874 
22.606 



17,392 
10.857 
32.347 
86,768 

47,435 
10,735 
12.507 
14,821 
29,950 

11,841 
64,264 
11,175 
41,023 
32,542 

21,408 

17,587 
30,288 
26,806 
21,367 



595 
1,097 

648 

4,202 

1 

1,270 

1,075 

9,271 

6 

24,000 

30 

3,060 

1 

189 

9,183 

2 

362 

21,367 

16 

7,823 

5 

1,041 

4 

755 

I 

2,657 
I 

475 

20,824 

20 

792 
1 

501 
2 

1,489 



1,927 

540 

2,919 

5,141 

4,333 

525 
1.206 
1,060 
1.155 

679 
5.605 

953 
3,493 
4,033 

1,949 

1,185 

1,844 

2,847 

502 



597 
1,112 

648 

4.251 

1 

1.274 

1.081 

9.326 

6 

24.149 

31 

3.080 

I 

189 



2 

362 

21.475 

16 

7,907 

5 

1,041 

4 

757 

1 

2,692 

1 

480 

20.983 
20 

804 
1 

501 

2 

1.494 



1.931 
541 

2,945 
5,182 

4,353 
528 
1,216 
1,062 
1,159 

684 
5,695 

953 
3,499 
4,059 

1.954 

1.187 

1.876 

2.873 

506 



55 



17 



189 



64 



2 

180 

1 

29 



19 



133 



5 

58 

2 

290 



32 
17 

284 
1 

950 



35 

92 

534 



180 



986 



2 
273 



1 
467 



34 
434 



2 
1,085 



4 
1,565 



90 



6 

318 



5 

128 

17 

29 

55 

16 
10 
30 
36 



221 



205 



2 
294 



37 



32 

15 

99 

121 

74 
8 
42 
27 
20 

27 
90 
19 
51 
44 

34 
28 
70 
50 
9 



87 
205 

83 
644 



215 

207 

1,971 



3,876 



5 
670 



13 
1,624 



57 

4,656 

2 

1,410 



166 
76 



597 



57 

3,759 

I 

117 



45 
254 



257 
112 
510 
902 

601 
122 
261 
268 
276 

113 
1,106 
172 
768 
811 

354 
160 
486 
373 
127 



472 

778 

505 

2,968 

1 

883 

699 

5,865 

5 

15,496 

20 

1,666 

1 

133 

5,466 



265 

11,763 

13 

5,608 

2 
812 

4 
604 

1 

1,554 

1 

381 

15,261 

17 

594 



409 

1,116 

I 



1,543 

379 

1,960 

3,754 

3,354 
351 
819 
644 
783 

502 
3.755 

704 
2,480 
2.797 

1,433 

940 

1,129 

2,165 

350 



18 
29 
40 
165 



96 

48 

518 



2,448 

3 
226 



6 
1,116 

2 

32 

2,020 



322 



29 



185 



27 

1,042 

2 

52 



64 

24 

280 

277 

232 
34 
60 
99 
54 

29 
461 

27 
136 
315 

109 

39 

111 

207 

13 



115 



Table 6.— Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1989— Continued 



Cily by Stale 



WASHINGTON— Continued 

Moses Lake 

Mounllake Terrace 

Mount Vernon 

Oak Harbor 

Olympia 

Pasco 

Port Angeles 

Pullman 

Puyallup 

Redmond 

Renton 

Richland 

Seattle 

Spokane 

Tacoma 

Vancouver 

Walla Walla 

Wenatchee 

Yakima 

WEST VIRGINIA 

Beckiey 

Bluefield 

Charleston 

Clarksburg 

Fairmont 

H unt ington 

Martinsburg 

Morgantown 

Moundsville 

Parkersburg 

St. Albans 

South Charleston 

Vienna 

Weirton 

Wheeling 

WISCONSIN 

Appleton 

Ashwaubenon 

Beaver Dam 

Beloit 

Brookfieid 

Brown Deer 

Caledonia 

Chippewa Falls 

Cudahy 

De Pere 

Eau Claire 

Fitchburg 

Fond du Lac 

Fort Atkinson 

Franklin 

Germantown 

Glendale 

Green Bay 

Greendale 



Population 



I 1 ,02 1 
17,372 
15,293 
14,606 
32,429 

17,976 
18,314 
22,770 
21,459 
33,310 

38,431 

33,279 

514.398 

175,051 

167,943 

46,790 
24,982 
20,506 

50.477 



18,434 
13,992 
55.145 
18,880 

21,007 
55,709 
13,477 
26,014 
11,350 

37,156 
11,716 
14,625 
11,290 
21,977 

38,531 



66,231 
15,781 
14,377 
33,417 

35,241 
12.462 
21,676 
13,445 
18,969 

16.733 
55,173 
14,949 
37,216 
10,427 

20,854 
12,673 
13,926 
95,888 
16,693 



Cnme 
Index 
tola! 



1,288 
1,062 
1,268 
604 
2,368 

2.606 
1,495 
627 
1,666 
1,752 

4,362 

1,227 

66,396 

15,957 

23,225 

3,274 
2,348 
1,880 
8,041 



1,150 
505 

6.664 
406 

1,035 
4,058 
1.206 
1,211 
379 

1,730 
455 
450 
331 

577 

935 



2,621 

1,026 

900 

2,459 

1,220 
457 
418 
439 
953 

595 
3,334 

459 
2,298 

397 

396 

495 

1,284 

4,522 

627 



Modified* 
Crime 
Index 
lolal 



1,288 
1,077 
1,297 
609 
2,372 

2,611 
1,509 
631 
1,675 
1,756 

4.373 

1.231 

66,713 

16,025 

23,368 

3,317 
2.385 
1,882 
8,069 



1,154 
506 

6,704 
407 

1,047 
4,162 
1,220 
1.223 
384 

1,752 
455 
450 
332 
582 



Murder 
and non- 
negligcnl 

man- 
slaughter 



939 



2,627 

1,026 

904 

2,468 

1,230 
457 
425 
440 
972 

598 
3,351 

459 
2.. 304 

403 

399 

496 

1.286 

4.540 

627 



Forcible 
rape 



7 
9 
7 
13 

21 
15 
12 
6 

22 

II 

478 
115 

252 

51 
28 

25 
34 



Robbery 



7 
9 

10 
6 

23 

63 
12 
1 
25 
10 

82 

7 

2.448 

368 

1,262 

62 

24 

31 

202 



27 

10 

260 

11 

21 

109 

37 

12 



Aggra- 
valed 
assault 



33 
15 
37 
12 
39 

107 
20 
76 
1 
1 

83 
13 

3,914 
641 

1,543 

136 

212 

33 

402 



14 

24 

175 

14 

68 

149 

17 

23 

2 



Burglaiy 



7 

7 

44 

10 
40 

7 
44 

9 

I 

2 

1 

236 

3 



216 
201 
236 
73 
314 

678 
248 
117 
256 
356 

770 

295 

14,162 

4,187 

5,080 

786 
630 

370 
1,755 



190 

132 

1,297 

127 

223 
966 
189 
199 
90 



Larceny- 
Iheft 



360 



986 
779 
907 
487 
1,856 

1,582 
1,134 
386 
1,264 
1,258 

2.988 

868 

39.540 

9.843 
12.991 

1.927 
1.371 
1.341 
5,309 



895 

318 

4.466 

227 

652 
2.603 
895 
906 
267 



508 


1.044 


125 


303 


78 


325 


30 


286 


161 


356 



Motor 
vehicle 
theft 



342 



481 


2,052 


60 


930 


55 


825 


412 


1 .856 


138 


1,003 


59 


348 


118 


264 


71 


346 


206 


650 


100 


475 


587 


2,560 


60 


353 


217 


1,980 


30 


347 


72 


289 


99 


382 


80 


1,067 


548 


3,539 


17 


582 



46 
51 
69 
19 
122 

151 
66 
35 
97 
88 

418 

36 

5,816 

794 
2,076 

309 
83 
78 

331 



22 

15 

412 

21 

57 
184 
65 
54 
20 

118 
21 
37 
II 
35 

97 



54 
24 
19 
97 

50 
45 
29 
11 

47 

9 
135 
35 
49 

8 

31 

9 

86 

144 

21 



116 



Table 6.— Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1989— Continued 



Cily by Slale 



WISCONSIN— Continued 



Greenfield 
Janesville 
Kaukauna . 
Kenosha 
La Crosse . 

Madison 
Manilowoc 
Mannelle . 
Marshfield 
Menasha . . 



Menasha Town . . 
Menomonee Falls 

Menomonie 

Mequon 

Merrill 



Middleton 

Milwaukee 

Monroe 

Mount Pleasant 
Muskego 



Neenah 

New Berlin . 
Oak Creek .. 
Oconomowoc 
Onalaska 



Oshkosh 

Pleasant Prairie 

Racine 

River Falls 

Sheboygan 



Shorewood 

South Milwaukee 
Stevens Point — 

Sun Prairie 

Superior 



Two Rivers 
Watertown . 
Waukesha . . 
Wausau — 
Wauwatosa 



West Allis ... 
West Bend ... 

Weston 

Whitefish Bay 
Whitewater 



Wisconsin Rapids 

WYOMING 



Casper . . 
Cheyenne 
Evanston 
Gillette . 



Green River . 

Laramie 

Rawlins 

Rock Springs 
Sheridan 



Population 



Crime 
Index 
total 



.12,514 
51.383 
12.522 
76.368 
48,486 

178.642 
31,722 
12,342 
20.483 
14.738 

13,826 
27.471 
13,455 
17,606 
10,507 

13,876 
600,898 
10.848 
20.764 
16,804 

23,762 
32,645 
19,009 
10,758 
11,510 

52,516 
12,382 
82,724 
10,758 
47,433 

14,117 
20,794 
22,659 
14,949 
27.050 

12,883 
19,561 
55.393 
34,620 
49,789 

64.186 
24.383 
11,159 
14,347 
12,041 

19,621 



42.297 
53.525 
10,148 
20,752 

13,458 
24,250 
10,327 
20,683 
15.510 



Modified' 
Cnme 
Index 
total 



1,587 
3.239 
429 
3,741 
3,226 

12,556 

1,406 

629 

791 

652 

378 
897 
757 
243 
439 

408 

52.644 

323 

606 

225 

918 
973 
734 
368 
378 

2,989 
296 

7,604 
463 

2,694 

544 
743 

1.346 
549 

2,189 

420 

778 

1,376 

1,927 

2,031 

3,107 

1.083 

430 

305 

377 

985 



2,658 

2,814 

417 

960 

477 
1,209 

407 
1.218 

524 



Murder 
and non- 
negligent 

man- 
slaughter 



1,587 
3.271 
429 
3.774 
3,228 

12.621 

1,415 

631 

800 

653 

380 
898 
770 
243 
439 

408 
53.106 
326 
610 
226 

928 
999 
736 
378 
378 

3,002 
297 

7.649 
463 

2,734 

545 
768 

1,350 
556 

2,221 

428 

778 

1,384 

1,935 

2,034 

3.136 

1.100 

431 

306 

382 

988 



2.698 

2.816 

417 

972 

486 
1,212 

409 
1,224 

531 



112 



Forcible 
rape 



461 
4 



Robbery 



54 



16 
17 
1 
94 
14 

198 

2 
2 
2 



3 
2,415 



Aggra- 
vated 
assault 



2 

11 

310 

10 

32 
2 
5 
2 

12 

I 
2 

15 
7 

57 

38 
1 

1 
4 
3 



14 


15 


18 


23 


3 

1 


4 


1 
9 


4 


2 


4 


9 


11 




3 



15 
51 
12 
52 
47 

246 
21 

9 
26 

2 

7 
11 

4 



1,281 

8 

22 

1 

60 
24 
18 
19 

3 

63 

7 

396 



Burglary 



160 

2 

7 

63 

19 

II 

2 

4 

70 

46 

15 

149 
40 
1 

2 
3 

84 



157 
53 
34 
69 

14 
19 
9 
74 
15 



Larceny- 
theft 



224 
630 
79 
732 
174 

2,521 

155 

27 

104 

128 

90 
189 
63 
43 
40 

52 

9,175 

37 

157 

62 

96 

154 

109 

34 

41 

436 

53 

1.819 

40 

393 

106 
99 
190 

72 

457 

78 
145 
203 
196 
315 

547 
78 
42 
28 
33 

142 



564 

320 

68 

107 

49 
118 

83 
254 

69 



Motor 
vehicle 
theft 



1,181 
2,399 
325 
2.559 
2.876 

8,817 

1,166 

572 

640 

508 

266 
650 
646 
190 
378 

330 

30,063 

259 

377 
149 

737 
754 
538 
296 
322 

2,398 
210 

4,526 
403 

2,080 

357 
607 

1,053 
437 

1,604 

329 

595 

982 

1,605 

1,494 

2,159 
938 
353 
262 
325 

732 



1,801 

2,335 

294 

740 

407 
1,009 
299 
846 
415 



149 
130 
11 
256 
104 

714 
51 
19 
19 
13 

13 
46 
39 
5 
16 

16 

9,137 

19 

42 
12 

20 
37 
63 
19 
6 

76 
26 
494 
18 
45 

46 

28 

28 

1 

92 

10 
30 
93 
69 

147 

201 

24 

14 

8 

11 

21 



32 



33 

2 

65 
9 
2 
9 
1 

2 

1 

13 



462 
3 

4 



10 

26 

2 

10 



13 
1 

45 



40 

1 

25 
4 
7 

32 



29 

17 

1 

1 

5 



105 


40 


65 


2 


13 




43 


12 


6 


9 


50 


3 


10 


2 


23 


6 


22 


7 



'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. 



117 



Table 7. — Number of Offenses Known to the Police, Universities and Colleges, 1989 



• Arson is shown only if 12 months of arson data were recen 


ed Leaders ( 


1 indicate zero data 


















Sludcnl 
enroll- 
menl' 


Vioient- 
crime 
total 


Violent Crime 


Propcny ' 
crime 
total 




Proper! 


Crime 




University/College 


Murder 
and non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


l-arceny- 
thefl 


Motor 
vehicle 
theft 


Arson* 


ALABAMA 

Auburn University; 

Main Campus 


20.553 

5.580 

7.511 

(4) 

10,443 

43,426 

4,654 

14,996 

26,810 

34,725 
5,717 

13,835 

10,064 

1,328 

3,333 

12,075 

17,905 
15,912 

4,650 

14,979 

7,460 

17,467 

23,376 

11,757 

33,179 

1 7,960 

29,401 

23,478 

9,154 

34. 1 55 

26.456 

4.822 

7.839 

6.634 

12.811 

6. 1 35 

9,817 

6,854 

19,581 

24,138 

16.197 

20.479 

6.129 

30.102 

20.733 

14,772 

(4) 

(4) 

34,371 

7,087 

(4) 

16,410 

3,759 

17,743 

8,816 

12,595 


4 

5 

20 

25 
-> 

31 

2 

8 
4 
18 






1 


3 

5 

20 

19 

1 

20 
2 
6 
4 

17 


508 

47 
142 
609 

72 

1,256 

32 

601 

141 

1,288 

67 

397 

76 

238 

106 

53 

408 
556 

72 

474 

184 

499 

422 

169 

568 

572 

556 

346 

123 

1,424 

395 

90 

40 

216 

174 

243 

63 

89 

177 

518 

64 

175 
1.34 

1,807 

1,328 

792 

57 

85 

1.260 

308 

266 

1.186 

498 

749 

436 

75 


55 

3 

6 

67 

12 

176 

-J 

82 

14 

211 

3 

103 
5 
5 

103 

25 

49 
55 

40 
47 
42 
34 
23 

5 
46 
24 
46 
37 
42 
55 
79 

2 
14 
12 

15 
15 
21 
8 
55 

2 

7 

12 

136 

73 

99 

3 


450 

43 

1.30 

527 

53 

1.026 

30 

511 

123 

1.043 

63 

286 

66 

232 


3 
1 

6 
15 
7 

54 












Jacksonville State University 










Universitv of Alabama. Tuscaloosa 




1 


5 










ARIZONA 




10 


1 


3 


Arizona Western College 










2 


8 

4 

34 

1 

8 

5 
1 
3 

1 

74 
12 

1 
13 
35 
44 
62 
10 
46 

109 
47 
64 
12 

211 
11 


2 


Pima Community College 










1 




7 


Yavapai College 






ARKANSAS 

University of Arkansas; 
Fayetteville 


3 
6 




1 


1 

1 






Little Rock 




5 




Medical Science 








Pine Bluff 


34 

1 

3 
9 

4 
5 
1 

5 
6 

16 

7 

23 

5 

3 

■>-) 

21 








34 




CALIFORNIA 

Cabrillo College 




1 




27 

285 
489 

31 

414 

107 

421 

337 

154 

476 

439 

463 

245 

69 

1.158 

305 

88 

26 

187 

150 

224 

46 

68 

157 

427 

57 
167 
121 

1 .540 

1.225 

644 

51 

85 

792 

213 

232 

958 

399 

672 

335 

75 




California State Polytechnic University: 




2 


1 

8 

3 

1 




San Luis Obispo 




1 

1 

2 
1 


7 


California Slate University: 
Bakersfield 








Chico 




2 


4 


Dominguez Hills 




Fresno 




1 
1 


4 

4 

1 

13 

17 
■) 
-) 

10 

14 

1 


2 






1 
1 


Hay ward 






Long Beach 




3 

5 




Los Angeles 






1 






2 
1 
1 

2 
2 

1 




Sacramento 






San Bernardino 










10 

5 


3 
2 






Stanislaus 




College of the Sequoias 








. 


Contra Costa Community College 


5 






2 


3 


17 

-> 

4 

1 


2 


Foothill College 








Humboldt Slate University 












1 














2 


Merced College 


1 
15 
11 

■> 
9 

1 

55 
12 
8 








1 
11 
6 

-> 
9 










4 
5 


12 
36 

5 
1 

1 

131 

30 

49 

3 










5 


San Jose Evergreen Community College 






■) 


Santa Rosa Junior College 










Sonoma Stale University 




1 

4 

2 

1 






Universitv of California: 
Berkelcv 




18 

1 


33 
9 

7 


14 
7 


Davis 




Irvine 




5 


Lawrence Berkeley Laboratory 








Laurence Livermore Laboratory 














Los Angeles 


49 
13 
11 
10 
18 
9 
4 






13 
4 
5 
3 
3 
1 
1 


36 
5 
6 
5 

15 
7 
2 


282 
53 
12 

103 
83 
60 
92 


186 
42 
22 

125 
16 
17 
9 




Riverside 




4 


6 


Sacramento 






San Diego 




■> 


1 












1 
1 




Santa Cruz 




2 


West Valley College 







Sec fooinolcs ai end of tabic. 



118 



Table 7.— Number of Offenses Known to the Police, Universities and Colleges, 1989 — Continued 



Universils/CoUcge 



COLORADO 

Adams Slate Colli-'gc 

Arapahoe Conimunily College 

Aurana Higher Education Center 

Colorado School of Mines 

Colorado Slate University 

Red Rocks Community College 

University of Colorado: 

Boulder 

Colorado Springs 

Medical Center 

University of Denver 

University of Northern Colorado 

University of Southern Colorado 

CONNECTICtT 

Central Connecticut State University 
Eastern Connecticut State University 
Southern Connecticut State University 
University of Connecticut: 

Avery Point 

Health Center 

Storrs 

Western Connecticut State University 
Yale University 



DELAWARE 



University of DelavNare ... 
FLORIDA 



Florida A & M University 

Florida .Atlantic University 

Florida International University 
Forida State University: 

Panama City 

Tallahassee 

University of Central Rorida 

University of Florida 

University of North Florida ... 
University of South Florida: .. 

St. Petersburg 

Sarasota 

Tampa 

Universitv of Wesl Florida 



GEORGIA 



Albany State College 

Augusta College 

Cherokee College 

Georgia College 

Georgia Stale University — 
Georgia Southwestern College 

Kennesaw College 

Medical College of Georgia 
Southern Technical Institute . 

South Georgia College 

Valdosta State College 

West Georgia College 



ILLINOIS' 



Black Hawk College 

Chicago State University 
Eastern Illinois University 
Illinois State University .. 
Joliet Junior College 



Student 
enroll- 
ment' 



2.499 


7.049 


(4) 


2..119 


19.192 


5.17.^ 


24.070 


5,815 


1.546 


6.874 


9.814 


.1,971 



14.198 
4.447 
12.784 

(4) 

508 

25.374 

6.380 

10,893 



19,818 



Violcril 
crime 
lolal 



6,396 


11,325 


18,128 


(4) 


(4) 


18,342 


33,282 


7.162 


(4) 


(41 


(4) 


7.095 



2,104 
4,827 
(4) 
4,522 
22,176 
2,151 
8.602 
2,279 
3,767 
1.010 
6.950 
6.705 



5.317 

6.134 

11.159 

22.330 

9.454 



12 



\ iiilcnl Oimc 



Murder 
and non. 
negligent 

man. 
slaughter 



Forcible 
rapt- 



Robher> 



Aggra- 
vated 
assault 



10 



10 



10 



I'ropcrlv' 
crime 
lolal 



128 
67 

3.12 
81 

653 
14 

860 
41 
338 
209 
425 
79 



95 
134 
144 

18 
136 
544 



Propcrt) Crime 



Burglar> 



118 



3 
7 
6 

4 

5 

120 



Larceny- 
Ihcft 



102 


38 


1.178 


386 


591 


35 


164 


3 


127 




282 
1 


17 


691 


75 


224 


38 


1.180 


67 


108 


15 


34 


1 


61 


7 


698 


54 


82 


37 


8 


2 


39 


1 


4 


1 


45 




360 


18 


54 


8 


23 


1 


244 


7 


63 




9 


2 


127 


19 


188 


53 


49 




107 




284 


29 


461 


83 


79 


7 



Molor 
\ chicle 
Ihcfl 



117 
59 

285 
55 

591 
14 

717 
41 
317 
151 
366 
65 



90 
124 
111 

14 
130 
418 

63 

747 



533 



161 
108 
244 

1 

603 

184 

1,059 

91 

33 

52 

604 

45 



6 

38 

3 

44 

330 

46 

21 

226 

63 

5 

107 

131 



49 

95 

253 

372 

71 



2 

II 

3 

3 



2 

3 

27 



1 

6 
1 

45 



23 



19 
21 



13 

2 
54 

2 



40 



1 
12 



See footnotes at end of table 



Table 7. — Number of Offenses Known to the Police, Universities and Colleges, 1989 — Continued 



Universily/College 



Student 
enroll- 
ment' 



Violent- 
crime 
total 



Violent Crime 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Property' 
crime 
total 



Property Crime 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



ILLINOIS'— Continued 

Norlhcaslern Illitiois University 

Northerti Illinois University 

Southern Illinois University: 

Carbondale 

Edwardsville 

Triton College 

University of Illinois: 

Chicago 

Urbana 

Western Illinois University 

INDIANA 

Indiana University: 

Gary 

Indianapolis 

New Albany 

IOWA 

Iowa Slate University 

University of Iowa 

University of Northern Iowa 

KANSAS 

Empona Slate University 

Fort Hays Stale University 

Kansas Slate University, 

Manhattan 

University of Kansas: 

Lawrence 

Medical Center 

Pittsburg State University 

Wichita Stale University 

KENTUCKY 

Eastern Kentucky University 

Morehead State University 

Murray State University 

Northern Kentucky University ... 

University of Kentucky 

University of Louisville 

Western Kentucky University 

LOUISIANA 

Louisiana Stale University, 

Baton Rouge 

Louisiana Tech. University 

McNeesc Slate University 

Northeast Louisiana University . 
Southeastern Louisiana University 

MAINE 

University of Maine, Orono 

University of Southern Maine ... 

MARYLAND 

Bowie State University 

Coppin Slate University 

Frostburg State University 

Morgan Slate University 

St. Mary's College 

Salisbury State University 

Towson Stale University 



9,846 
24,255 

24,227 
11,352 
17,691 

23,993 
38,347 
12,765 



4,812 
3,274 
5,192 



26,475 
30,001 
12,396 



5.763 
5,005 

19,301 

26.020 
2,383 
5,637 

16,673 



13,635 
7,360 
7,593 
9,490 
22.230 
21,313 
14,056 



27,350 
10.044 

7,378 
10,498 

8,520 



10.967 
10,071 



3,325 
2,246 
4,525 
4,066 
1.585 
5.260 
15.169 



10 



141 
501 

794 
211 
147 

991 
763 
451 



59 

724 

30 



714 
811 

237 



139 

58 

563 

812 

269 

79 

204 



330 

208 

64 

90 

977 
480 
313 



157 

172 

11 



166 
12 
24 
15 



828 


142 


200 


29 


121 


28 


260 


7 


145 


3 


444 


5 


88 




54 


18 


36 


11 


100 


8 


183 


92 


75 


14 


145 


5 


446 


112 



111 

408 

713 
188 

127 

952 
656 
440 



44 
686 



548 
626 
224 



82 
42 

416 

636 

252 

55 

186 



288 
124 
58 
83 
884 
435 
304 



673 
167 
93 
253 
141 



436 
88 



36 
23 
91 

87 

61 

137 

325 



21 



1 

1 


1 
4 


31 
18 


4 


4 

n 




4 


1 






1 
3 


1 






2 
1 




4 


4 


3 
9 


7 



Sec foolnotcs al end of tabic. 



120 



Table 7.— Number of Offenses Known to the Police. Universities and Colleges, 1989— Continued 



Univereity/College 



MARYLAND— C'onlinucd 



Univcrsil) of Baltimore 
Uni\crsil\ ^^( Maryland; 

Baltimore City 

Baltimore County — 

College Park 

Eastern Shore 



MASSACHUSETTS 



Boston College 

Boston University 

Brandeis University 

Emerson College 

North Adams State College 

Northeastern University 

University of Massachusetts. 

Harbor Campus-Boston 

Wenlvionh Institute of Technology 

MICHIGAN 



Central Michigan University 

Delta College 

Eastern Michigan University 

Ferris State University 

Grand Valley Stale University — 

Hope College 

Lansing Community College 

Macomb Community College 

Michigan Stale University 

Michigan Technological University 
Northern Michigan University — 

Oakland University 

Saginaw Valley State University .. 

University of Michigan. Flint 

Western Michigan University 



MINNESOTA 

University of Minnesota — 

MISSISSIPPI 

Mississippi Slate University 
University of Mississippi ... 



MISSOURI 

University of Missouri: 

Columbia 

St. Louis 

Washington University 



NEBRASKA 



Kearney State College 

University of Nebraska. Lincoln 



NEW JERSEY 



Brookdale Community College 

Burlington County College 

Essex County College 

Glassboro Stale College 

Kean College 

Middlesex County College 

Monmouth College 

Montclair Slate College 

New Jersey Institute of Technology 



Stutk-nt 
enroll- 
mcnl' 



Violcnl' 
i.Tiinc 
total 



5.228 

4.56.1 

9.868 

.16.68 1 

1.559 



14,596 

28.555 

3.755 

2.668 

2.743 

32,389 

1 3.667 
3.861 



19.024 

9.651 

23.077 

11.762 

9.768 

2.781 

21.474 

31.466 

44.480 

6.502 

8.185 

12.254 

5.853 

6.315 

24.861 



61.556 



12.406 
9.927 



23.568 
1 3.932 
11.498 



9.094 
23.985 



10.637 
6.252 
5.664 
9.500 

1 2.406 

11.218 
4.430 

12.666 
7.589 



Vuilcnl Crime 



Murder 
and non- 
negiigenl 

man- 
slauglilcr 



24 



Forcible 
rape 



10 



Aggra- 
vated 
assault 



l*ropcrty' 
crime 
total 



Properly Crime 



Burglary 



89 

537 

251 

1.256 

30 



384 
720 
177 
87 
28 
519 

186 

157 



438 
92 
532 
390 
70 
190 
153 
167 
2.072 
102 
230 
156 
112 
135 
750 



1.404 



271 

277 



696 
108 
169 



111 

829 



69 
39 

25 
175 
150 

50 
136 
271 
184 



10 
86 
153 



Lareeny- 
theft 



16 
8 

13 

12 
6 

18 
1 

8 
429 

10 
7 

14 
8 
4 

15 



70 



117 



80 

522 

158 

1.059 

30 



Motor 
vctiicle 
theft 



415 

84 

510 

372 

63 

169 

150 

151 

1.563 

89 

218 

129 

104 

128 

726 



1.3.34 



242 
180 



578 
101 
147 



98 

755 



68 
38 
18 
146 
107 
48 
116 
157 
158 



336 


9 


589 


36 


152 


2 


71 


5 


I"" 




468 


22 


170 


3 


104 


2 



1 

5 


10 


13 




7 
1 


3 


7 




4 


1 


37 






3 


47 




22 


1 



See foomoies at end of tabic. 



121 



lable 7.— Number of Offenses Known to the Police, Universities and Colleges, 1989— Continued 



University/College 



NEW JERSEY— Continued 

Rutgers University: 

Camden 

Newark 

New Brunswick 

Stockton State College 

Trenton State College 

University of Medicine and Dentistry; 

Camden 

Newark 

Piscataway 

William Paterson College 



NEW MEXICO 

Eastern New Mexico University 
New Mexico State University ... 

University of New Mexico 

Western New Mexico University 



NEW YORK 

Cornell University 

State University of New York: 

Binghamton 

Downstate Medical Center 

Maritime College 

Stony Brook 

State University of New York Agricultur- 
al and Technical College: 

Delhi 

Farmingdale 

State University of New York College: 

Fredonia 

Geneseo 

Oswego 

Potsdam 

Purchase 

NORTH CAROLINA 

Appalachian State University 

University of North Carolina. 

Chapel Hill 

Western Carolina University 

NORTH DAKOTA 

University of North Dakota 

OHIO 



Bowling Green State University 

Cle\eiand State Unncrsity 

Cuyahoga Community College . 

Kent Slate University 

Miami University 

Ohio University 

University of Akron 

University of Cincinnati 

University of Toledo 

Youngstown State University ... 



OKLAHOMA 



Central Stale University 

Northeastern Oklahoma Stale 

University 

Oklahoma State University .. 
Tulsa Junior College 




Sec loomolcs at end of table. 



122 



I able 7— Number of Offenses Known to the Police, Universities and Colleges, 1989— Continued 



lini\crsit>/Collcgc 



OKLAHOMA— Continued 



University of Oklahoma: 
Health Science Center 
Norman 



PENNSYLVANIA 



Bloomshurg University 

California University 

Cheyney University 

Clarion University 

Edinboro University 

Elizabethlown College 

Kutzlown Uni\ersity 

Lehigh University 

Lincoln Uni\ersity 

Mansfield University 

Moravian College 

Pennsyhania State University: 

Mioona Campus 

Behrend College 

Capital Campus 

University Park 

Shippensburg University 

Slippery Rock University 

University of Pittsburgh. Bradford 

RHODE ISLAND 

University of Rhode Island 



SOUTH CAROLINA 



Clemson University 

Medical University of South Carolina 

Trident Technical College 

University of South Carolina ; 

Coastal Carolina 

Columbia 

Spanansburg 

Winthrop College 



TENNESSEE 



Austin Peay State University 

East Tennessee State University .. 
Middle Tennessee State University 
University of Tennessee: 

Knoxville 

Martin 

Memphis 



TEXAS 



Alvin Community College 

Amarillo College 

Angelo Slate University 

Baylor University 

Corpus Chrisli State University 

Easlfield College 

East Texas Sljiie University ... 

Lamar University 

McLennan Community College 
Midwestern State University 
North Harris County College . . 

North Lake College 

North Texas State University . 

Pan American University 

Richland College 

Southern Methodist University 



Student 
enroll- 
mcnl' 



Violent- 
crime 



2.459 
22.225 



6.804 
6.313 
1.361 
6.601 
7.001 
1.788 
7.167 
6.659 
1.251 
2.980 
1.804 

2.604 
2,830 
3.144 
37.269 
6.352 
7.360 
954 



15.847 



14.794 
2.118 

5,594 

4.135 

26.435 

3.265 

5.351 



5,177 
10.983 
13.174 

24.985 
4.653 
1.773 



4.090 

5.395 

6.3.34 

11.789 

4.045 

9.396 

7,315 

11.809 

5.411 

5.149 

1 3..30 

6.126 

24.498 

11.204 

13,101 

8.944 



Violent (rime 



Murder 
and non- 
negligent 

man- 
slaughler 



Forcible 
rape 



Roi>bcr> 



Aggra- 
vated 
assault 



13 



Property' 
crime 
total 



26 



I'roperts Crime 



Burglarv 



78 
831 



103 
95 
51 
81 

147 
45 

102 

202 
12 
34 
60 

62 

84 

38 

907 

101 

126 

23 



384 



591 

435 

33 

27 
670 

30 
118 



169 

232 
262 

582 
98 
174 



22 

52 

92 

276 

4 

123 

185 

276 

2 

83 

33 

49 

623 

126 

121 

365 



Larcenv- 
liiefl 



9 
112 



114 
3 
6 



I 

100 

1 

12 



Motor 
vehicle 
ihcfl 



56 
670 



98 
91 
32 

77 

142 

40 

99 

174 

1 

33 

55 

60 
79 
35 

789 
97 

120 
21 



318 



514 

402 

32 

25 
514 

28 
104 



132 
209 
194 

520 
79 
152 



20 

51 

91 

223 

4 

122 

136 

247 

2 

59 

28 

48 

540 

104 

111 

286 



13 
49 



I 

56 
1 



8 
12 



26 
15 



23 



13 



See toolnoles al end of table. 



Table 7. — Number of Offenses Known to the Police, Universities and Colleges, 1989 — Continued 



University/College 



Student 
enroll- 
ment' 



Violent- 
crime 
total 



Violent Crime 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Aggra- 
vated 
assault 



Property' 
crime 
total 



Properly Crime 



Burglar> 



Larceny- 
theft 



Motor 
vehicle 
theft 



TEXAS — Continued 

South Plains College 

Soulhwcslcrn University 

Southwest Texas Slate University 

Stephen F. Austin Slate University 

Sul Ross Slate University 

Tarlelon Slate University 

Texas A & M University; 

College Station 

Galveston 

Texas Arts & Industries University ... 

Texas Christian University 

Texas College Osleo. Med 

Texas Southern University 

Texas State Technical Institute; 

Amarillo 

Waco 

Texas Tech. University; 

Health Science Center 

Lubbock 

Texas Woman's University 

Tyler Junior College 

University of Houston; 

Central Campus 

Clearlake 

Downtown Campus 

University of Texas; 

Arlington 

Austin 

Dallas 

El Paso 

Galveston 

Health Science Center: 

San Antonio 

Tyler 

Houston 

Permian Basin 

San Antonio 

Soul hwesl Medical School 

Tyler 

West Texas State University 

UTAH 

Brigham Young University 

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 Col lege 

Mary Washington College 

Norfolk State University 

Old Dominion University 

Radford University 

Thomas Nelson Community College .. 

University of Richmond 

University of Virginia 

Virginia Commonwealth University ... 
Virginia Polytechnic Institute and State 

University 

Virginia State University 

Virginia Western Community College 



4.394 
1.171 
20.505 
12.574 
2.236 
5.667 

39,163 

742 

5,614 

6.993 

391 

8,666 

858 
4.022 

826 

24.605 

8.898 

7.820 

30.372 
7.196 
7,409 

23,383 

50.106 

7.667 

10.491 

(4) 

2.219 
2.837 
(4) 
2.132 
13.134 
1,458 
3,859 
5,756 



30,226 
9,048 

23.758 

13.777 
6,833 

12,146 



4,647 

7,372 

18,965 

10,906 

3,042 

3,427 

8,123 

16,364 

8,764 

6.640 

4.948 

2(1.802 

20,645 

24,280 
3,855 
6.755 



9 

31 

581 

421 

24 

140 

1.055 

1 

164 

85 

37 

263 

42 

255 

178 

666 

54 

69 

611 
32 
90 

384 
941 
62 
203 
140 

79 

46 

461 

12 

134 

200 

20 

89 



513 
49 
828 
303 
168 
104 



22 
144 
363 
195 

80 

86 
189 
329 
153 

12 
116 
573 
640 

458 

129 

13 



3 

5 

104 

59 

4 

49 

117 



32 
23 

5 
51 

11 
84 

5 

129 

8 

3 

9 

5 

12 
28 



10 



30 



6 

26 

456 

355 

20 

89 

891 
1 

131 
62 
31 

180 

30 
162 

172 

528 

38 

64 

553 
32 
79 

353 
891 
60 
163 
126 

75 

46 

446 

10 

119 

175 

20 

58 



497 
48 
733 
277 
161 
95 



106 

323 

194 

78 

77 

147 

319 

152 

12 

94 

555 

632 

405 

117 
13 



21 
7 



2 
47 



1 
32 



2 
49 



6 
19 



20 
5 



11 
11 



1 
14 
5 
1 
1 



2 
11 
5 

2 
3 



See footnotes at end of table. 



124 



lablc 7.— Number of Offenses Known to the Police, I'niversities and Colleges. 1989— Continued 



Univcrsity/CoMcgc 



Student 
enroll- 
ment 



WASHINGTON 

Ccniral Washington University 
University of Washington .... 
Washington State Liniversity . 

WEST VIRGINI.V 

Concord College 

Glenvillc State College 

Marshall University 

West Liberty State College .. 
West Virginia Slate College . 

West Virginia Tech 

West \'irgmia University — 

WISCONSIN 

University of Wisconsin: 

Eau Claire 

Green Bay 

Madison 

Milwaukee 

Oshkosh 

Parkside 

Whitewater 

WYOMING 

University of Wyoming 



7.11W 
.1.1.460 
16.405 



2,450 
2,205 
12..150 

2.435 
4,509 
2.955 
18.746 



11,038 
5,221 
43.364 
25.212 
1 1 .209 
5,172 
10.458 



10.773 



Violent- 
crime 
lcl.il 



Violent Crime 



Murder 
and non- 
negligeni 

nmn- 
slaughler 



Forcible 
r.ipc 



Aggra- 
vated 
assault 



Propcrls 
crime 
total 



303 

1.027 

598 



28 

I 

166 

27 
40 



Property Crime 



Burglary 



372 



208 
47 
999 
414 
183 
119 
154 



364 



33 

194 
102 



Larccny- 
Ihcft 



267 
795 
468 



22 
II 
152 
26 
38 



Motor 
vehicle 
Ihcfl 



322 



204 
46 
848 
397 
177 
116 
127 



353 



1 
12 



'The student enrollmenl rigures provided by the United States Department of Education are for 1988. the most recent year available. The enrollment figure includes full-time and part-t,m. 
students. See Appendix I for details. 

'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. 

'porabTe ^7 fl^u's furnTs^heTb; rh^Jatlfvel Uniform Crime Reporting ,UCR, Program administered by the Illinois Department of State Police were not in accordance with national UCF 
Euidelines Therefore the fiRures were excluded from the forcible rape and violent crime total categories. „ . . . . f f,„,„„ xh„„ i„,.1mH.. 

guidelines. 1 here ore. me g mter-campus comparisons or ranking schools, as university/college crime statistics are affected by a variety of factor Jhese include 

demographic charac"eristics of the surrounding community, ratio of male to female students, number of on-campus residents, accessibility of outside visitors, size of enrollment, etc. 



125 



Table 8. — Number of Offenses Known to the Police, Suburban Counties, 1989 

(The data shown in this table do not reflect county totals but arc the number of offenses reported by the shcrifTs 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 
ofTenses. including arson. 



Counly by Slate 



Crime 
Index 
total 



Modified* 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaugtiter 



Forcible 
rape 



Robbery 



Aggra- 
\ated 
assault 



Burglary 



Larceny- 
theft 



Motor 

vehicle 

theft 



ALABAMA 

Baldwin 

Blount 

Calhoun 

Colbert 

Elmore 

Houston 

Jefferson 

Lauderdale 

Madison 

Mobile 

Montgomery 

Russell 

St. Clair 

Shelby 

Tuscaloosa 

Walker 

ARIZONA 

Maricopa 

Pima 

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 Stale Police 

Monterey 

Monterey Highway Patrol 

Napa 

Napa Highway Patrol 

Orange 

Orange Highway Patrol 

Orange State Police 



1,25.1 
454 
308 
139 
921 
445 

6,224 
457 
751 

2,427 
912 
431 
341 
368 

1,391 
558 



6,476 
12,419 



203 
484 
439 
547 
164 
581 
3.111 
1,013 
307 
712 



921 

6,422 

754 
2,430 
912 
438 
342 

1,404 



6,523 
12,505 



204 
485 
443 
556 
164 
596 
3,141 
1,013 
308 
713 



3.622 


3,651 


32 




153 


153 


3,135 


3.229 


322 




14 


14 


5.699 


5.754 


984 




19 


19 


2,583 


2,597 


244 




8,322 


8.347 


102 




65 


65 


15,472 


16,174 


260 




19 


19 


48,199 


48,751 


497 




340 


347 


1,693 


1.709 


115 




1,561 


1.566 


197 




10 


11 


2,600 


2.678 


191 




899 


902 


93 




8,305 


8.449 


73 




13 


13 



10 





1 


7 


23 






17 


42 






3 


8 


16 


126 






29 


148 






176 


386 




4 


3 


14 


4 


13 






7 


34 


3 


13 


8 


45 







10 



73 
138 



126 



147 



154 



387 



4.053 



26 



30 



112 
31 
75 
12 

113 
34 

841 
39 

123 

324 

98 

95 

36 

3 

342 
5 



185 
595 



5 
92 
17 
36 

1 

24 

377 

4 
33 
32 



198 



19 

325 
1 



341 

159 

1 

138 



1.145 



1.439 
1 



10.948 

157 

43 

239 

I 

91 



I 

212 



90 



577 
1 
3 



404 
201 
83 
68 
406 
148 
2.037 
177 
203 
614 
328 
129 
140 
233 
365 
187 



1,578 
2,365 



97 
153 
152 
222 

96 
217 
936 
440 

83 
295 



1.055 



41 
1.256 



1.793 



3 
1.123 



2.841 



29 
4,095 



10.262 



101 

347 

I 

653 



I 

875 



287 

2.162 

2 



648 
179 
119 

50 
354 
222 
2.657 
210 
358 
1,315 
409 
171 
131 

90 
604 
302 



4,171 
8,684 



78 
194 
227 
224 

46 
288 
1,537 
460 
173 
313 



1,782 



86 

1,474 

46 

4 

3.347 

138 

13 

1,274 

48 

3,326 

27 

33 

8,239 

108 

18 

14,037 

12 

126 

1.020 

27 

774 

2 

8 

1.429 

30 

483 

21 

4.405 

5 



63 
33 
25 
7 
29 
27 

469 
21 
46 

107 
46 
24 
21 
33 
67 
56 



418 
543 



17 
19 
36 
30 
17 
32 
168 
102 
16 
65 



437 

32 

3 

16 

275 

2 

12 

687 

1 

19 

196 

714 

73 

3 

1.135 

150 



1.337 

328 

52 

26 

86 



195 



13 
161 

II 

72 
976 

66 



126 



Table 8.— Number of Offenses Known lo the Police, Suburban Counties, 1989— Continued 



Count\ bv Stale 



CALIFORNIA— Continued 



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 

San Mateo State Police 

Santa Barbara 

Santa Barbara Highway Patrol 

Santa Clara 

Santa Clara Highway Patrol ... 

Santa Clara Slate Police 

Santa Cruz 

Santa Cruz Highway Patrol ... 

Shasta 

Shasia 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 Stale Police 

Yuba 

Yuba Highway Patrol 



Crime 
Index 
total 



Modified* 
Crime 
Index 
total 



COLORADO 

Adams 

Arapahoe 

Boulder 

Douglas 

El Paso 

Jefferson 

Larimer 

Pueblo 

Weld 

DELAWARE 

New Castle Police Department 
New Castle State Police 



3,278 

227 

39.019 

177 

37.069 

1.644 

420 

16.754 

269 

45 

25.998 

159 

55 

6.573 

638 

41 

4.963 

12 

2 

4,075 

335 

2,998 

210 

38 

3.495 

329 

2,474 

64 

9 

795 

79 

2 

4.587 

630 

58 

5.403 

446 

3 

1,185 

41 

5.429 

421 

1.704 

58 

737 

49 

2 

2,136 

123 



4.567 
3.236 
1.267 
1,060 
2,654 
5.600 
1,292 
703 
1.375 



6,766 
5.921 



Murder 
and non- 
negligcnl 

man- 
slaughter 



3,293 

39,158 

37,140 

421 
16,836 

45 

26,162 

57 
6,656 

41 

4,975 

2 
4.154 

3,011 

40 
3,514 

2,484 

9 
806 

2 
4,655 

59 
5,531 

3 
1,185 

5,756 

1,737 

743 

2 
2,163 



4,619 
3,292 
1.295 
1.081 
2,726 
5,656 
1,309 
718 
1,393 



6,814 
5.944 



47 



36 



14 



Forcible 
rape 



10 



13 



31 
148 
254 



4 
127 



176 



66 



57 



20 



16 



138 

52 



41 

826 

1,142 



7 
350 



655 



1 
146 



Aggra- 
vated 
assault 



94 



72 
228 



332 



4.157 

11 

2,259 



31 

1,833 

5 

2 

2.387 
12 

5 
337 



I 
114 



Burglarv 



958 



11.756 



307 



350 



4 
268 



141 



2 
128 



354 



2 

943 

4 



142 
726 



187 
7 

126 
2 



450 



264 
89 
80 
83 

154 
63 
71 
50 
81 



325 
323 



8.780 



83 
5.955 



6 

7,739 



14 
2.362 



Larceny- 
theft 



13 
1,613 



1,422 



707 



15 

1,187 



859 



3 
350 



1,744 



30 
1.787 



408 
1,229 



510 
249 



1 
642 



1,187 
906 
382 
275 
766 

1,344 
289 
161 
485 



1,598 
761 



1,898 

69 

16,349 

8 

20,783 

87 

253 

6,363 

7 

35 

10.228 

24 

31 

3.654 

71 

25 

2.382 



Motor 

vehicle 

theft 



2,221 

86 

1.783 



15 
1.943 

57 

1,253 

21 

4 

272 

21 

2 

2,344 

193 

18 

2,492 

30 

3 

578 



3.322 

51 

734 

25 

344 

14 

1 

986 



2.601 

2,049 

695 

649 

1,520 

3,802 

849 

457 

721 



4,006 
3.975 



16 

158 

5,724 

158 

3.825 

1,557 

42 

2.079 

257 

2 

4,777 

123 

3 



567 

1 

784 

12 

I 

24 

249 

80 

202 

3 

15 

272 

178 

43 



16 

437 



19 
412 



370 

207 

26 



Arson* 



7 
123 



439 

153 

73 

40 

167 

325 

78 

28 

67 



619 

575 



15 

139 

71 

1 
82 

164 



79 
13 

2 
19 

10 



68 
1 



Table 8. — Number of Offenses Known to the Police, Suburban Counties, 1989 — 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 


Molor 

vehicle 

theft 


Arson* 


FLORIDA 

Alachua 


5.206 

2.863 

501 

7,944 

1 3.402 

3.437 

8.093 

124.133 

18.389 

918 

4.348 

37,184 
5.859 
2.832 
9.970 
6.704 
4.699 
1.568 
3.359 

33.070 
5.204 

29.910 
9.841 

12.659 

19.871 
3,528 
3,668 
3,074 

10.727 
6,330 
6,157 

506 

1,720 

206 

1,422 
2 

3,006 

85 

3,279 

2,559 

58 

11,135 

402 

17,434 

238 

48,188 

454 

2,370 

2,138 

304 

10,329 

15,881 

1,650 

1.186 

514 

287 

214 

1,210 

259 

1.021 

227 

10.185 

2,236 

1,715 

1.434 


5.241 

2.871 

506 

7.968 

13,437 

3.449 

8.132 

124.416 

18.475 

926 

4.371 

37.283 
5.863 
2.849 

10,020 
6.723 
4.716 
1.574 
3.363 

33.075 
5.219 

30.044 
9.903 

12.737 

19.889 
3,528 
3.680 
3.078 

10.780 
6.355 
6.179 

206 

2 
3.027 

3.293 

2.567 

58 

11,177 
402 

17.510 
239 

48.386 

2.146 

10.371 
16,009 

518 
287 

270 

10.198 


2 

10 
2 

5 
31 


60 
38 
2 
59 
70 
15 
77 

768 

113 
26 
16 

250 
17 
25 
74 
93 
42 
14 
10 

188 
34 

158 
58 
89 
77 
10 
20 
24 
35 
19 
83 

3 
15 

1 
10 


107 

34 

10 

166 

821 

50 

199 

7.877 

533 

38 

48 

1.136 

158 

52 

239 

216 

54 

23 

44 

1 .039 

64 

702 

126 

260 

368 

54 

77 

27 

130 

132 

137 

4 
28 

4 
16 


407 

169 

68 

466 

1.380 

237 

542 

10.292 

1,325 
190 
408 

2.654 
83 
374 
825 
708 
65 
141 
208 

2,271 
299 

2,023 
666 
798 

1,334 
235 
300 
248 
608 
454 
386 

31 

7 
10 

47 

1 

176 

8 

243 

79 

4 

433 


1,659 

738 

198 

2,227 

3,020 

919 

2,415 

29,606 

4.924 

329 

1.132 

9.313 

2.297 

1.009 

3.254 

2.524 

K312 

502 

773 

10.290 

2.230 

8.610 

2.516 

3.013 

4.968 

825 

1 .205 

830 

2.776 

1,901 

2,423 

238 

554 

89 

277 


2.715 
1.751 
202 
4.614 
6.653 
1.957 
4.464 

56.696 

10.408 

292 

2.592 

19.766 
2.627 
1.207 
5.024 
2.731 
2.945 
790 
2.157 

16.186 
2.340 

15.842 
5.924 
7.808 

11.913 
2,248 
1.723 
1.785 
6,693 
3.367 
2.755 

190 
1.020 

82 

932 

1 

1.802 

56 

1.720 

1.569 

40 

6.751 

387 

10.376 

104 

28.155 

227 

1.387 

1.388 

190 

5.784 

10,762 

909 

731 

211 

149 

89 

672 

106 

451 

106 

5.072 

1.371 

866 

579 


256 

123 

19 

407 

1.427 

259 

382 

18.691 

1.073 

36 

151 

4.027 
668 
163 
549 
423 
275 
95 
165 

3.067 
234 

2.538 
543 
682 

1.177 
151 
338 
157 
479 
452 
357 

39 
94 
20 
138 


35 


Bay 


g 




5 




24 




35 


Clay 


12 


Collier 


14 
203 

13 
7 
1 

38 
9 
2 
5 
9 
6 
3 
2 

29 
3 

37 
8 
9 

34 
5 
5 
3 
6 
5 

16 

1 
2 


39 


Dade 


283 




86 


Gadsden 


8 




23 




99 


Lee 


4 


Leon 


17 




50 




19 




17 




6 




4 




5 




15 




134 




62 




78 


Polk 


18 






St. Lucie 


12 




4 


Sarasota 


53 




25 




22 


GEORGIA 




Bibb 










2 








Chatham Police Department 


4 
1 

6 
7 


31 

1 

18 

19 


35 


764 

17 

995 

665 

11 

2.539 

10 

4.148 

73 

10,784 

157 

635 

476 

21 

2.178 

3.066 

498 

304 

239 

109 

113 

409 

106 

418 

85 

3.148 

558 

517 

644 


194 

2 

277 

165 

3 

1.057 

5 

1.878 

37 

6.398 

15 

212 

192 

25 

1.697 

1,342 

160 

76 

34 

19 

11 

79 

24 

74 

18 

959 

142 

126 

108 


21 








20 
55 


14 




8 








7 


75 


273 


42 


Cobb 




Cobb Police Department 


21 
2 

37 
3 
6 
3 


103 

1 

299 

3 

25 

8 

4 

39 

69 

10 

9 

1 

1 


366 

3 

1.761 

18 

40 

6 

22 

344 

220 

35 

9 

4 

1 


542 
18 

754 
31 
65 
65 
42 

270 

421 

34 

55 

24 

8 


76 




1 




198 






Douglas 






8 


Fulton ... 




Fulton Police Department 


17 
1 
4 

2 

1 


42 




128 






Houston 




Jones 


4 


Lcc 




Madison 


1 




Newton 


1 1 

4 

9 

1 

61 

12 

18 

15 


12 
2 

9 

1 

458 

13 

37 

19 


25 

17 

56 

16 

465 

134 

150 

67 






11 




4 




Peach 




Richmond 


22 
6 
1 
2 


13 


Rockdale 








Walker 





128 



Table 8.— Number of Offenses Known to the Police, Suburban Counties, 1989— Continued 



Counly by State 



IDAHO 



Ada 



ILLINOIS' 



Boone 

Champaign 

Clinion 

Cook 

Du Page .... 

Grundy 

Henry 

Jersey 

Kane 

Kankakee .. 
Kendall .... 

Uke 

McHenry .. 

McLean 

Macon 

Madison ... 
Menard — 

Monroe 

Peoria 

Rock Island 
St. Clair ... 
Sangamon 
Tazewell . . . 

Will 

Winnebago . 



INDIANA 



Allen 

Allen Stale Police 

Clark 

Clark State Police 

Elkhart 

Elkhan State Police 

Hancock 

Hancock State Police 

Harrison 

Harrison State Police .... 

Howard 

Howard State Police 

Lake 

Lake State Police 

Marion 

Marion State Police 

Monroe 

Monroe Slate Police 

St. Joseph 

St. Joseph State Police .. 

Tippecanoe 

Tippecanoe State Police . 

Vanderburgh 

Vanderburgh Slate Police 



IOWA 



Black Hawk .. 

Bremer 

Dallas 

Dubuque 

Johnson 

Linn 

Polk 

Pottawattamie 

Scott 

Warren 



Crime 
Index 
total 



1.704 



Modified* 

Crime 

Index 

total 



17. 



186 
169 

428 
177 
356 

98 
517 

52 
250 
118 
449 

23 
.901 
373 
,964 
622 
344 
102 
.569 
136 
904 
111 
639 

51 



292 
164 
243 
435 
514 
634 
,680 
381 
431 
390 



1.719 



Murder 
and non- 
negligent 

man- 
slaughter 



2,188 

169 

431 

179 

2,363 

99 

517 

52 

250 

119 

451 

23 

1.909 

373 

8,010 

623 

344 

103 

2,585 

138 

112 
645 

51 



293 
165 
244 
436 
516 
638 
1,688 
38 
431 
392 



Forcible 
rape 



Robbery 



4 

3 

104 

13 



Aggra- 
vated 
assault 



18 

4 

358 

16 
4 



Burglary 



212 

97 

16 

2 

6 

43 

126 

16 

149 

27 

21 

9 

80 

1 

6 

70 

4 

53 

92 

5 

248 

125 



21 
26 

43 
25 
233 
17 
5 
II 



10 



106 

77 
114 
102 



15 
32 
10 
36 
40 
123 
242 
52 



Larceny- 
thcl'l 



505 



113 

383 

43 

1,128 

748 

39 

30 

80 

503 

306 

167 

853 

385 

349 

218 

503 

32 

61 

286 

76 

495 

523 

94 

864 

824 



717 

34 

86 

36 

555 

17 

166 

3 

93 

49 

154 

6 

280 

26 

4,393 

32 

107 

27 

605 

31 

245 

18 

72 

5 



i 



Motor 

\ehicle 

Ihefl 



1.029 



172 

468 

45 

2,865 

2,062 

179 

114 

113 

594 

390 

363 

1,569 

995 

313 

326 

714 

28 

66 

742 

169 

899 

577 

133 

1,640 

1,296 



1,226 

83 

258 

82 

1,472 

53 

304 

26 

138 

49 

270 

14 

1,041 

118 

11,381 

311 

218 

49 

1,775 

55 

580 

57 

506 

35 



93 


165 


52 


77 


63 


165 


70 


317 


144 


310 


196 


277 


305 


1,039 


169 


109 


144 


272 


133 


232 



67 



21 

28 

14 

511 

295 

10 

8 

2 

61 

46 

39 

270 

82 

16 

16 

63 



4 

56 

6 

98 

48 

6 

239 

120 



162 

20 

30 

24 

74 

9 

34 

11 

19 

8 

21 

1 

452 

144 

1,594 

148 

15 

14 

136 

23 

56 

17 

25 

6 



36 

37 
3 



5 

14 
23 
6 
33 
7 
6 
4 
2 



13 
1 

16 

10 
1 

40 
1 



Table 8. — Number of Offenses Known to the Police, Suburban Counties, 1989 — Continued 



County by State 


Crime 
Index 

total 


Modified* 
Crime 
Index 
total 


Murder 
and non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robberv 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 

vehicle 

theft 


.Arson* 


IOWA— Continued 


268 

527 

273 

451 

343 

225 

1,864 

1.040 

53 

19 

58 
178 

30 
155 
183 

30 
203 

13 

8 

172 

282 

84 

39 
196 

49 
381 
172 
8 
109 
327 
120 
15,543 

35 
121 

77 
155 

21 

17 
370 

82 
221 

33 

51 
185 

13 

1 ,306 

910 

2.126 

4.907 

8.729 

30,110 

1.990 

783 

1.035 

1.974 

2.390 

1.631 

6.30 

4.099 

2.302 


271 

1.895 

21 

58 
180 

30 
156 
184 

35 
205 

13 

8 

172 

282 

84 

46 
197 

50 
382 
174 
8 
109 
328 
123 

35 
121 

82 
155 

22 

17 
377 

85 
221 

33 

186 
13 

1.308 

916 

2.132 

4.926 

8.745 

30,209 

2.004 

785 

1.981 

630 
4.118 

2.323 


1 




3 

"> 
1 
1 

3 
2 

21 
3 

-) 


1 1 

19 
23 
31 
30 
13 
175 
59 
4 

1 
3 
11 


105 

275 

82 

172 

168 

91 

558 

341 

14 

6 

20 

56 

13 

57 

68 

11 

86 

2 

6 

88 

110 

9 

6 

73 

19 

176 

56 

1 

39 

109 

36 

3.157 


141 

209 
152 
216 
125 

95 
968 
587 

29 

10 
31 
97 
12 
75 

103 

12 

83 

3 

2 

42 

139 
31 
10 

102 
18 

160 

74 

2 

48 

196 

51 

10.642 

10 

68 

31 

66 

10 

6 

237 

41 

138 

12 

41 

55 

4 

733 

6.36 

1.055 

2.741 

5.436 

18,165 

948 

427 

241 

1.183 

1.189 

790 

380 

2.226 

1.209 


7 

20 
II 
26 
15 
19 
118 
35 
3 

2 
4 
4 
5 
11 
9 
3 
9 
2 

15 
17 

8 

5 
15 

6 
13 

7 


3 


KANSAS 

Butler 


2 

3 

2 

3 
23 
15 






4 
2 




Johnson 






2 
1 






31 








1 




KENTUCKY 




2 












Bourbon Slate Police 


1 


8 


1 


2 












1 

1 


11 

2 

4 

21 

4 


1 


Bullitt 






1 


Bullitt State Police 






5 








4 


2 






2 




Carter 










2 
2 


1 
1 
5 
1 


3 
1 


21 
12 

-:; 

6 

-1 

25 

28 

5 

9 

10 

22 

468 

21 

4 

15 

7 

6 












Christian State Police 






7 


Clark 






I 


Clark State Police 


1 
1 




2 
3 
3 


I 


Daviess 


3 
4 


I 




2 










1 




4 


8 

7 
8 
872 
4 
8 
4 
6 
3 

9 
6 

16 
4 
1 

18 






4 
2 

75 


I 


Henderson State Police 


1 
14 


3 


JefTerson Police Department 


315 




JefTerson State Police 










4 


37 
25 
75 

1 
11 
98 
26 
43 
14 

8 
54 

445 

201 

726 

1.264 

2.125 

6.419 

663 

223 

562 

574 

440 

544 

169 

1,255 

861 




Jessamine State Police 


1 
1 


I 


5 












1 


I 


Oldham 








Oldham Police Department 


2 


3 

2 

1 
1 


3 


'? 

17 
1 
1 

21 
J 

62 

29 

174 

588 

499 

1.557 

183 

67 

201 

100 

613 

93 

46 

283 

140 


7 




3 


Scott 




6 

1 




Scott State Police 






Shelby 






Shelby Slate Police 


4 

5 
5 
7 
8 

14 
36 
4 
4 
3 
3 
3 
7 
3 
7 
3 


31 

-> 

12 

5 

24 

63 

34 

152 

23 

9 

27 
20 
13 
9 
39 
17 


1 

10 
10 
14 
95 

no 

1.093 
25 
15 

3 
30 
56 
56 

7 
48 
18 


1 






LOUISIANA 


39 

24 

126 

148 

511 

2.688 

144 

38 

25 

57 

69 

128 

16 

241 

54 


2 


Bossier 


6 




6 




19 


East Baton Rouge 


16 




99 


Lafayette 


14 


LaFoiirchc 


2 








7 


St Charles 












St Tammany 


19 


Terrebonne 


21 



130 



Table 8.— Number of Offenses Known to the Police, Suburban Counties, 1989— Continued 



Couniy by Sialc 



LOLISIANA— Continued 

West Baton Rougo 

MAINE 



Androscoggin 

Androscoggin State Police 

Cumberland 

Cumberland State Police 



MARYLAND 



Allegany 

Allegany Slate 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 State Police 

Harford 

Harford Slate Police 

Howard 

Howard State Police 

Montgomery 

Montgomery Police Department . . . 

Montgomery Slate Police 

Prince Georges 

Prince Georges Police Department 

Prince Georges Slate Police 

Queen Anne's 

Queen Anne's Stale Police 

Washington 

Washington State Police 



Crime 
Index 
total 



MASSACHL'SETTS 



Berkshire Slate Police .. 
Hampden State Police .. 
Hampshire State Police . 
Plymouth Stale Police .. 
Worcester State Police . 

MICHIGAN 



Bay 

Bay Slate Police 

Berrien 

Berrien State Police 

Clinton 

Clinton Slate Police ... 

Eaton 

Ealon Stale Police 

Ingham 

Ingham Slate Police ... 

Jackson 

Jackson State Police ... 

Kalamazoo 

Kalamazoo Slate Police 

Kent 

Kenl Stale Police 

Lapeer 



Modified* 
Crime 
Index 
total 



509 



297 
61 

706 
83 



38 

554 

14,882 

1,45, 

40,55 

154 

433 

752 

31 

1,823 

494 

1,180 

3.643 

527 

712 

1.102 

2,846 

886 

8.075 

232 

1 

26,937 

41 

23 

41,380 

243 

248 

470 

705 

574 



145 
72 
60 

112 
38 



934 
843 

1,001 

1,037 

444 

32 

2.602 
304 

1.449 
320 
844 
535 

2.135 
53 

3,800 
863 

1,087 



509 



297 
61 

706 
83 



38 

561 

15,001 

1,452 

40,972 

154 

433 

763 

31 

1.838 

494 

1,223 

3.643 

568 

712 

1,134 

2,846 

944 

8,075 

293 

I 

27,321 

41 

23 

41.648 

243 

248 

480 

705 

605 



Murder 
and non- 
negligcnl 

man- 
slaughter 



145 
72 
60 

112 
38 



936 
851 

1,011 

1.054 

446 

3 

2.611 
306 

1.462 
325 
866 
543 

2,141 
56 

3.811 
869 

1,100 



17 



Forcible 
rape 



34 



17 

87 

9 

220 



Robbery 



194 



260 
I 
I 

9 
6 
4 



4 
334 

16 

1.804 

4 

2 
7 



Aggra- 
vated 
assault 



29 

4 

6 

85 

18 

10 

18 

37 

15 

163 

4 



835 



3,141 
3 



Burglary 



47 

564 

115 

5.179 

34 

51 

101 

5 

143 

53 

179 

420 

48 

96 

150 

164 

127 

331 

33 

I 

846 

II 

23 

3,029 

57 

38 

52 

43 

83 



43 
37 
69 
90 
1 
4 
93 
II 
85 
2 
70 

176 

60 

5 

104 
30 

114 



l.arceny- 
Ihcfi 



121 



111 

27 
306 

27 



156 

3,295 

116 

8.237 

7 

116 

200 

4 

438 

143 

377 

641 

68 

126 

215 

752 

220 

1,660 

31 



4.334 
2 



8.535 
3 
57 
124 
191 
158 



57 



21 



146 
170 
316 
225 
100 
9 
528 

37 
368 

10 
177 
111 
483 
7 
728 
162 
303 



Motor 

vehicle 

theft 



335 



155 
28 

341 
39 



30 
298 

9,139 

947 

20,651 

91 

207 

394 

21 

1,100 
248 
490 

2.119 
294 
427 
652 

1,733 
442 

4,992 
125 



17,778 
24 



17,125 
123 
147 
256 
416 
273 



693 
580 
509 
620 
274 
10 

1,729 
214 
878 
281 
527 
190 

1,437 
34 

2,661 
610 
606 



19 



32 
1,446 

249 
4,427 
18 
39 
39 
I 
88 
41 

114 

347 
94 
44 
56 

139 
70 

894 
36 



2,929 
4 



9.172 

56 

3 

22 
43 
42 



35 

37 

49 

57 

28 

4 

137 

II 

68 

12 

27 

28 

98 

2 

219 

35 
58 



7 
119 



420 



43 



58 



61 



384 



268 



Table 8. — Number of Offenses Known to the Police, Suburban Counties, 1989 — Continued 



County by Stale 



Crime 
Index 
total 



Modified* 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robber\ 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 

vehicle 

theft 



MICHIGAN— Continued 

Lapeer State Police 

Livingston 

Livingston State Police 

Midland 

Midland State Police 

Monroe 

Monroe State Police 

Muskegon 

Muskegon Stale Police 

Oakland 

Oakland Stale Police 

Ottawa 

Ottawa State Police 

Saginaw 

Saginaw State Police 

St. Clair 

St. Clair State Police 

Washtenaw 

Washtenaw State Police 

Wayne 

Wayne Slate Police 

MINNESOTA 

Anoka 

Benton 

Carver 

Chisago 

Clay 

Dakota 

Hennepin 

Isanti 

Olmsted 

Ramsey 

St Louis 

Scott 

Sherburne 

Stearns 

Washington .' 

Wright 

MISSISSIPPI 

Harrison 

MISSOURI 

Buchanan 

Christian 

Clay 

Franklin 

Greene 

Jackson 

Jasper 

Jefferson 

Lafayette 

Platte 

St. Charles 

St. Louis Police Department . 

MONTANA 

Cascade 

Yellowstone 

NEBRASKA 

Dakota 

Dakota Slate Patrol 



310 
961 
788 
777 
29 

3,295 
855 

1,212 
376 

6,877 
643 

2,204 
266 

1,332 
584 

1,603 
442 

4,054 
678 
611 
343 



455 
249 
305 
992 
126 
205 
196 
470 
560 
149 
883 
389 
426 
717 
636 
1,356 



2,539 



177 
249 
245 

1.279 

1.561 
877 
564 

3,185 
239 
425 

2,088 
14.191 



298 
802 



330 
966 
800 
784 
29 

3,318 
872 

1,214 
377 

6,931 
660 

2,208 
269 

1,332 
592 

1,615 
458 

4,077 
685 
613 
395 



459 
253 
309 
996 
126 
205 
200 
471 
563 
149 
904 
396 
428 
719 
642 
1,373 



2,575 



177 
251 
253 
1,283 
1.574 
878 

3.2 1 3 
239 
425 

2,096 
14.306 



803 



112 
I 



10 



78 



53 

4 

5 

I 

14 

15 

12 

I 

103 

14 

3 



52 



1 


2 


5 




2 


1 


16 


4 


8 


10 


8 


7 


9 




31 


22 


3 


2 


4 


4 


16 


13 


63 


222 



44 


56 


147 


54 


214 


640 


81 


184 


431 


94 


158 


490 


T 


3 


20 


172 


645 


2,216 


76 


204 


486 


39 


288 


801 


25 


110 


217 


311 


1,374 


4,592 


64 


190 


329 


50 


413 


1,626 


12 


66 


170 


146 


276 


787 


62 


112 


341 


73 


382 


1,002 


24 


173 


214 


314 


787 


2,471 


69 


105 


323 


21 


15 


462 


90 


26 


99 



114 



25 
3 

19 

153 

106 

44 

24 

220 

17 

30 

105 

930 



175 

67 

64 

173 

32 

61 

39 

140 

251 

35 

399 

109 

148 

159 

201 

332 



1,378 



67 
110 

94 
465 

423 
297 
174 

1,301 

89 

126 

472 

3,119 



35 
200 



204 
149 
206 
686 
73 
104 
116 
271 
243 
106 
348 
236 
235 
482 
363 
904 



702 



80 

127 

112 

544 

956 

455 

312 

1,431 

113 

241 

1,384 

S,801 



51 



204 

527 



23 

35 

55 

18 

1 

197 

58 

63 

17 

487 

34 

66 

13 

93 

37 

90 

20 

317 

109 

107 

77 



52 
17 
13 
89 
10 
18 
12 
41 
44 
7 
44 
30 
29 
54 
57 
75 



208 



4 
17 
97 
57 
66 
45 
179 
14 
20 
96 
1,050 



39 
60 



16 



132 



Tabic 8.— NumbtT of Offenses Known lo the Police. Suburban Counties, 1989— Continued 



CounI\ by Slalc 



NEBRASKA— Continued 



Douglas 

Douglas State Patrol .... 

Lancaster 

Lancaster State Patrol ., 

Sarpy 

Sarpy Slate Patrol 

Washington 

Washington State Patrol 



NEVADA 



Washoe 



NEW JERSEY 



.-Mlanlic State Police — 

Bergen Stale Police 

Burlington Slate Police . 
Camden Stale Police .... 
Cape May Stale Police . 
Cumberland Stale Police 
Essex County Police — 

Essex Slate Police 

Gloucester Stale Police . 
Hudson State Police — 
Hunterdon Stale Police . 

Mercer State Police 

Middlesex Stale Police .. 
Monmouth Slate Police . 

Morns State Police 

Ocean Slate Police 

Passaic Stale Police 

Salem Stale Police 

Somerset Slate Police ... 

Sussex Stale Police 

Union Slate Police 

Warren Stale Police 



NEW MEXICO 



Dona Ana 



NEW YORK 



Albany 

Albany State Police 

Broome 

Broome State Police 

Chemung 

Chemung Slate Police ... 

Dutchess 

Dutchess Stale Police .... 

Erie 

Erie State Police 

Greene 

Greene State Police 

Herkimer 

Herkimer State Police ... 

Livingston 

Livingston State Police .. 
Madison State Police .... 

Monroe 

Monroe Stale Police 

Montgomery Stale Police 

Nassau 

Nassau Stale Police 

Niagara 

Niagara State Police 

Oneida 



Crime 
Index 

lolal 



1,806 

9 

495 

49 

815 

5 



2.157 



1,356 



383 
802 

64 
407 
917 
636 
124 

24 

40 
241 
356 
135 
317 

60 
194 

34 
430 

29 
589 

57 
262 



1,861 



97 

725 

898 

895 

366 

619 

1.316 

1,342 

2.081 

927 

21 

749 

5 

491 

740 

202 

472 

5,268 

1,251 

174 

30.972 

61 

1,959 

673 

608 



ModiTied* 
Crime 
Index 
lolal 



Murder 
and non- 
negligent 

man- 
slaughter 



1,810 

9 

508 

49 

815 

5 

123 

2 



2.170 



1,368 
384 
81 

64 
415 
937 
659 
128 

24 

41 
244 
356 
136 
322 

60 
195 

36 
438 

29 
599 

57 
275 



1,878 



100 

726 

907 

902 

367 

620 

1,333 

1,350 

2,105 

932 

21 

752 

5 

515 

203 

479 

5,299 

1,252 

174 

31,301 

66 

1,959 

679 

612 



Forcible 
rape 



56 



Robbery 



36 



Aggra- 
vated 
assaull 



I 

61 

8 

4 

962 

7 

29 

3 

1 



Burglary 



242 



51 
31 
56 
10 
33 
119 
159 
24 

4 

5 
14 
10 
19 
19 

8 
20 

I 
38 

9 
19 
14 
21 



113 



24 

30 

19 

26 

23 

82 

138 

149 

208 

74 

I 

132 

I 

11 

57 

12 

38 

53 

25 

16 

787 

14 

117 

14 

II 



282 

2 

106 
6 

167 



46 



Larcen>- 
Ihel'l 



632 



112 

38 

254 

5 

127 

301 

66 

8 

3 

2 

101 

56 

5 

82 

8 

46 

3 

165 

7 

174 

4 

94 



912 



23 
156 
223 
194 

86 
104 
357 
378 
287 
179 



261 



235 

199 

35 

138 

735 

68 

46 

5.363 

5 

429 

103 

217 



Molor 

vehicle 

Ihefl 



1,409 

3 

343 

21 

562 

5 

68 

1 



1,063 



1,116 

231 
392 

42 
211 
413 
249 

48 

10 

22 
100 
252 

82 
184 

31 
112 

17 

171 

7 

320 

26 
119 



664 



46 
499 
604 
633 
233 
400 
739 
706 

1,467 
619 
20 
327 
4 
235 
473 
141 
293 

4,094 

1,100 

101 

17.029 

28 

1,261 
522 
354 



140 



46 

74 
77 

I 
24 
59 
34 
12 

5 

3 
21 
33 
27 
23 

9 
11 
II 
43 

4 
69 

6 
24 



112 



4 
33 
41 
32 
19 
22 
69 
80 
100 
48 



24 



308 

47 

7 

6,753 

5 

104 

27 

21 



I 

7 

31 

I 



Table 8. — Number of Offenses Known to the Police, Suburban Counties, 1989 — Continued 



County by State 


Crime 
Index 

total 


Modified* 
Crime 
Index 
total 


Murder 
and non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbcr\ 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 

vehicle 

theft 


Arson* 


NEW YORK— Continued 


1,606 

3,689 

1,649 

1,194 

472 

1,689 

243 

80 

773 

628 

624 

253 

407 

750 

61 

1.139 

969 

4 

100 

50.242 

121 

395 

197 

1.229 

298 

383 

306 

843 

654 

697 

791 

1.210 

488 
2.550 
1.196 
1,058 
1,507 
10,464 
1,879 

546 
1,142 
1,672 

411 
1.161 
4.882 
2,566 
2,664 
1,196 
1.495 
1.571 

708 
1.538 

321 

115 
1 1(1 
140 
118 

296 

2.558 
1.154 


1,617 

1,652 

475 
1,721 
243 
80 
854 
628 

253 

431 

755 

64 

1,153 

980 

4 

101 

122 

198 

298 
384 
309 
853 
656 

804 

1,214 

492 
2,578 
1,209 
1,062 
1,516 
10,540 
1,889 

550 
1.145 
1.749 

414 
1.182 
4.922 
2.573 
2.673 
1,198 
1,495 
1,583 

711 
1,541 

321 

115 
110 
140 

118 

2,583 
1,159 




31 

28 
4 
8 
7 

19 
4 


8 

40 

4 

3 

3 

25 
1 

1 

2 
2 
7 
3 


62 

118 

14 

83 

9 
116 
19 
18 
61 
17 
37 
13 
69 
69 

8 

116 

32 

4 

3 

1,402 

19 

67 

10 

7 
48 
30 
24 
26 

8 
77 

61 

15 

78 

72 

8 

330 

393 

42 

35 

140 

116 

35 

68 

246 

142 

164 

12 

65 

65 

38 

55 

7 

3 
6 
11 
13 

18 

300 

46 


440 
836 
202 
319 

76 
412 

66 

30 
197 
226 
183 

60 
133 
256 
7 
341 
219 


1,025 

2,526 

1,379 

741 

361 

986 

131 

20 

469 

364 

349 

152 

192 

369 

34 

633 

666 


40 
140 
45 
39 
16 
128 
21 
11 
40 
15 
42 
22 
S 
46 
10 
33 
44 


11 




1 

1 
1 






3 








3 




3 


32 














1 


3 
4 
6 
1 

5 
6 
1 

9 
6 


81 












Putnam State Police 


2 






24 




3 


1 
1 
5 
2 


5 


Rockland State Police 


3 




2 


14 




11 


Schenectady 






2 
29 






33 
11,152 

33 

85 

56 
320 

86 
HI 

92 
235 
231 

16 
170 

390 
241 

1,099 
540 
457 
408 

3,278 
871 
200 
307 
621 
167 
428 

1,604 
602 
865 
483 
690 
631 
264 
582 
126 

24 
25 
29 
13 

107 
291 
360 


56 
29,221 

58 
213 
117 
853 
191 
197 
165 
531 
362 
595 
431 

682 

205 

1.138 

484 

508 

685 

5.674 

808 

274 

597 

794 

175 

563 

2.779 

1.652 

1.457 

631 

647 

723 

344 

799 

149 

81 
61 
93 

82 

146 

1.761 

660 


6 
7.025 

24 
10 

42 
10 
25 
10 
34 
31 
65 
97 

56 

23 

195 

78 

65 

71 

794 

135 

29 

78 

89 

23 

85 

158 

130 

121 

47 

77 

130 

54 

85 

35 

5 
12 

5 
7 

11 
163 
61 


1 


Suffolk Police Deoarlmenl .... 


127 

T 

4 

1 
7 
2 


1,286 

2 
2 
1 

6 
2 

2 
3 
4 
3 
9 
9 

10 

1 
25 

8 
16 

6 

208 

10 

5 
15 
39 

5 

10 
76 
25 
26 
II 

9 

11 

■) 

7 
1 






1 










2 
1 


1 


Warren 












1 






6 

12 

1 

3 

7 

9 
3 

13 
9 

3 
4 
105 
7 
3 
2 

8 
1 

3 

17 
14 
30 
5 
3 
8 
5 
8 

T 

-> 

6 
1 

•> 

9 
18 
20 


3 


Wayne 


3 


10 




t 


Westchester 


1 






13 


NORTH CAROLINA 


-1 


4 




4 




2 
5 
1 
3 

12 
6 


28 


Burke . . . . 


13 


Cabarrus 


4 


Catawba 


9 




76 




10 




4 




3 

5 
5 
4 
2 
1 
1 
7 
4 
3 
1 
2 


3 




77 




3 




21 


Mecklenburg 


40 




7 




9 


Orange 


2 








12 


Stokes 


3 


Union 


3 


Yadkin 




NORTH DAKOTA 






Cass 










1 
1 








5 

21 

5 




OHIO 




Clark 


4 

2 


25 


Clermont 


5 



134 



Table 8.— Number of Offenses Known to the Police, Suburban Counties, 1989— Continued 



County hy Stale 



OHIO— Continued 



Delaware — 
Franklin — 

Fulton 

Geauga 

Greene 

Hamilton ... 

Lorain 

Lucas 

Montgomei^ 
Pickaway . . . 
Richland — 

Stark 

Trumbull ... 
Washington . 
Wood 



OKLAHOMA 



Canadian — 

Cleveland 

Comanche ... 

Creek 

Garfield 

Logan 

McClain 

Oklahoma ... 

Osage 

Pottawatomie 

Rogers 

Sequoyah — 

Tulsa 

Wagoner 



OREGON 



Clackamas 

Clackamas State Police . 

Jackson 

Jackson State Police — 

Lane 

Lane State Police 

Marion 

Marion State Police 

Multnomah 

Multnomah State Police 

Polk 

Polk Stale Police 

Washington 

Washington State Police 

Yamhill 

Yamhill State Police .... 



PENNSYLVANIA 



Adams State Police 

Allegheny 

Allegheny State Police ... 

Berks State Police 

Blair Stale Police 

Bucks Stale Police 

Cambria Stale Police ... 

Carbon State Police 

Centre Slate Police 

Chester State Police — 

Chester Detective 

Columbia Slate Police .. 

Cumberland 

Cumberland Stale Police 
Dauphin State Police 



Crime 
Index 
lolal 



666 
,400 
588 
490 
529 
.905 
.5.TO 
.932 
.241 
682 
.396 
.394 
344 
661 
455 



234 
403 
324 
882 
180 
440 
257 
393 
315 
617 
569 
322 
2.249 
539 



6.851 

104 
1,526 

210 
1,496 

742 
3,203 

295 
4,076 

232 

375 

21 

4,204 

58 

665 
33 



Modified* 

Crime 

Index 

total 



Murder 
and non- 
negligent 

man- 
slaughter 



674 

5,442 

591 

490 

534 

7,953 

1,548 

1,944 

4,280 

689 

1,397 

2,422 

347 

670 

455 



239 
429 
329 
901 
182 
456 
265 
393 
320 
633 
573 
325 
2,270 
560 



6,858 

139 
1,529 

218 
1.502 

756 
3.219 

308 
4.113 

232 

377 

21 

4,222 

77 

676 
36 



568 


581 


35 


35 


687 


689 


519 


526 


466 


475 


493 


504 


322 


332 


422 


423 


833 


855 


.732 


1,774 


39 


39 


230 


232 


-) 


2 


558 


583 


709 


742 



Forcible 
rape 



Robberv 



42 

2 

17 

7 

6 

33 

24 

15 

50 

7 

3 



6 

150 

2 

4 

3 

154 

47 

II 

153 

8 

16 

114 

4 

2 



Aggra- 
vated 
assault 



Burglary 



8 
12I 



745 

47 

1 1 

128 

153 

373 

58 

73 

79 

115 

45 

12 

4 

3 



6 
27 
32 
57 
25 
20 
24 
45 
28 
49 
25 
6 
312 
37 



68 

6 

172 

36 

66 

68 

187 

42 

351 

7 

4 

6 

41 

13 

40 

3 



32 
16 
89 
38 
36 
40 
II 
15 
67 

132 

13 

5 

2 

108 
76 



Larceny- 
theCl 



205 
1,004 
133 
109 
100 
1.011 
528 
443 
951 
281 
375 
821 
129 
245 
164 



112 
208 
110 
372 
52 
192 
120 
176 
153 
310 
266 
150 
605 
261 



2.031 

30 

464 

58 

523 

271 

807 

59 

1,256 

5 

173 

4 

1,219 

11 

191 

13 



158 

1 

199 

172 

171 

162 

142 

194 

294 

696 

2 

75 



140 

172 



Motor 

vehicle 

Ihcfl 



410 

2,990 

389 

316 

268 

6,163 

514 

1,241 

2,594 

263 

809 

1,177 

142 

386 

260 



99 
135 
164 
346 

97 
200 

92 
138 

93 
213 
223 
132 
1,028 
196 



3,820 

42 

776 

75 

815 

287 

1,890 

144 

1,836 

207 

173 

8 

2,471 

20 

367 

10 



310 
10 
217 
244 
205 
237 
126 
190 
395 
681 
9 
120 



249 
381 



37 

461 

15 

44 

23 

379 

44 

168 

423 

38 

78 

207 

57 

16 

25 



15 
27 
12 
90 
4 
22 
18 
20 
32 
34 
50 
32 
228 
36 



789 
24 
80 
32 
75 
74 

243 
33 

485 
5 

17 
3 

381 

II 

46 

7 



47 
7 

113 
46 
44 
39 
38 
18 
64 

177 



42 
3 

5 

48 

18 

12 

39 

7 

1 

28 

3 

9 



5 
26 

5 
19 

2 
16 

8 

5 

16 

4 

3 

21 

21 



7 
35 
3 
8 
6 
14 
16 
13 
37 



18 

19 

II 

3 



36 

58 



7 
9 
11 
10 
I 



25 
33 



Table 8. — Number of Offenses Known to the Police, Suburban Counties, 1989 — Continued 



County by Slate 



Crime 
Index 

total 



Modified* 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robber> 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 

vehicle 

theft 



PENNSYLVANIA— Continued 

Delaware Criminal Investigation Divi 

sion 

Delaware State Police 

Erie State Police 

Fayette State Police 

Lackawanna State Police 

Lancaster State Police 

Lebanon State Police 

Lehigh State Police 

Luzerne State Police 

Mercer State Police 

Monroe State Police 

Montgomery State Police 

Northampton State Police 

Perry State Police 

Philadelphia State Police 

Somerset Slate Police 

Washington 

Washington State Police 

Westmoreland Detective 

Westmoreland Park Police 

Westmoreland State Police 

Wyoming State Police 

York State Police 

RHODE ISLAND 

Kent State Police 

Providence State 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 

Dickson 

Grainger 

Hamilton 

Jefferson 

Knox 

Madison 

Montgomery 

Robertson 

Sevier 

Sullivan 

Sumner 

Union 

Washington 

Williamson 



48 

1,146 

1.303 

1.913 

269 

981 

323 

817 

916 

452 

1,225 

15 

347 

478 

49 

538 

I 

720 

46 

3 

2.778 

334 

719 



52 
109 
312 



3.471 
4,170 
2,740 
6,914 
2,142 
2,942 

11,189 
6,217 
1,036 
8,249 

10,298 
3,479 



306 
723 



223 
357 

1,599 
234 

5,733 
711 
516 
484 
342 

1,804 
574 
166 
877 
563 



48 

1,156 

1,328 

2,051 

323 

998 

326 

838 

980 

464 

1,235 

15 

349 

485 

49 

542 

1 

756 

46 

3 

2,854 

334 

745 



52 
111 

314 



3,497 
4,246 
2.761 
6,953 
2,155 
2,960 

11,291 
6,249 
1,042 
8.303 

10.389 
3.507 



307 
728 



224 
.367 

234 
5.846 

722 

486 
342 

677 
166 
883 
568 



30 
32 
32 
46 
23 
28 
90 
47 
13 
119 
80 
26 



17 



64 
63 
25 

115 
23 
41 

278 

96 

3 

440 

196 
49 



14 

4 

100 

12 



386 

417 

205 

968 

167 

391 

1.060 

663 

110 

1.138 

1,129 

338 



13 

10 

114 



182 

50 

43 

38 

7 

122 
50 
28 
20 

123 



225 
423 
759 
121 
297 
106 
261 
321 
148 
540 
2 

130 

187 

9 

235 



255 



I 

954 
130 
321 



1.149 
1.390 

763 
1.885 

640 

983 
3.084 
1.780 

296 
1.977 
2.391 
1 .036 



73 
170 
650 
112 
1,971 
220 
179 
152 
153 
667 
215 

63 
313 
107 



21 
664 

746 
775 

92 
473 
162 
428 
418 
214 
530 

10 
174 
219 

32 
211 



348 
38 

2 

1.253 
157 
320 



14 
56 

142 



1.556 
1.953 
1.541 
3.432 
1.156 
1.283 
5,996 
3.274 
549 
3.503 
5,912 
1,869 



192 
452 



106 

132 
682 

98 
3,053 
382 
272 
256 
137 
8.30 
380 

58 
456 
301 



3 
203 
90 
259 
33 
83 
21 
68 
64 
56 
89 



68 



433 
19 
46 



281 
310 
170 
461 
130 
206 
664 
350 
64 
1.049 
579 
155 



17 
41 

128 
14 

387 
42 
19 
28 
43 

131 
22 
15 
70 
25 




136 



Table 8. — Number of Offenses Known lo the Police, Suburban Counties, 1989 — Continued 



Countv b\ State 



Crime 
Index 
total 



Modified* 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Foreible 
rape 



Robbers 



Aggra- 
\ated 
assault 



Burglary 



Larceny- 
theft 



Motor 

vehicle 

theft 



TEXAS 

UTAH 

VIRGINIA 

Albemarle Police Department 

Albemarle State Police 

Amherst 

Amherst Stale Police 

Boletoun 

Botetourt Stale Police 

Campbell 

Campbell Slate Police 

Charles City 

Charles Citv Slate Police ... 



889 


907 


8.872 


8,973 


772 


792 


1,211 


1,214 


377 


377 


1,780 


1 ,806 


949 


954 


783 


784 


213 


213 


646 


689 


1,015 


1,017 


1.783 


1.789 


703 


703 


2.073 


2.088 


2,856 


2.945 


835 


835 


1,077 


1,097 


664 


667 


429 


429 


420 


422 


42,248 


42,699 


731 


737 


683 


684 


3,510 


3,527 


546 


552 


1,092 


1 ,095 


1,200 


1,206 


624 


624 


989 


1 ,002 


967 


978 


730 


732 


6,115 


6,177 


201 


201 


791 


798 


1,220 


1,223 


209 


210 


373 


376 


176 


178 


626 


635 


2,485 


2,515 


1,820 


1,853 


236 


238 


509 




4,965 


4,985 


509 


511 


273 


273 


237 


238 


356 


372 


1,740 


1,746 



200 

16,634 

438 

699 



1,788 
13 

575 
18 

454 
16 

865 
30 
34 



200 

16,705 

441 

699 



1.788 
16 

578 
18 

455 
18 

873 

30 

34 

9 



210 

15 

1 

27 

7 

1 

16 



7 

107 

10 

15 

3 
14 

7 

1 



33 

39 

18 

4 

8 

5 

5 

1,184 

9 

T 

32 
11 



90 



61 

570 
40 
79 
18 

118 

40 

31 

9 

133 
36 
22 

107 

177 
93 
48 
17 
53 
7 
46 
1,579 
44 
71 

204 
25 
93 
67 
92 
55 
19 
26 

411 
12 
35 
52 
7 
12 
6 
35 

133 

155 
18 
43 

174 
27 
22 
29 
20 
78 



16 

719 

26 

12 



64 



298 
2.431 
266 
497 
157 
1.120 
.395 
342 

64 
188 
440 
496 
347 
667 
1.102 
365 
452 
258 
194 
123 
1 3.070 
303 
268 
1.852 
151 
476 
520 
262 
344 
503 
276 
2.012 

64 
346 
587 

79 
110 

80 
245 
823 
581 
136 
209 
1.864 
197 
131 

96 
151 
532 



61 

2,449 

92 

143 



448 

2 

105 

4 

90 

"> 

157 
6 
15 
4 



450 

4,501 
401 
524 
172 
399 
425 
355 
126 
262 
447 

1.122 
2.36 

1.019 

1.364 
310 
556 
286 
204 
229 
18.043 
314 
304 

1.173 
289 
430 
495 
227 
475 
374 
371 

3.132 
100 
334 
490 
113 
217 
70 
307 

1.315 

952 

75 

239 

2.549 

254 

91 

86 

157 

1,009 



101 

:,827 
285 
516 



,133 
10 

367 
9 

326 
II 

579 
18 
10 
3 



50 
1 ,203 
52 
87 
21 

110 
63 
51 
12 
37 
72 

101 
13 

148 

248 
84 
36 
42 
17 
16 
8,102 
46 
35 

210 
62 
90 
85 
38 
70 
48 
33 

467 
15 
67 
66 
5 
27 
15 
35 

143 

105 
2 
9 

272 
24 
22 
21 
23 



12 
494 

27 
27 



108 



137 



Table 8. — Number of Offenses Known to the Police, Suburban Counties, 1989 — 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 

Iheft 


Arson* 


VIRGINIA— Continued 

Chesterfield Police Department 


7,883 

36 

394 

7 

25.973 

52 

116 

7 

757 

13 

301 

13 

139 

1 

1.166 

82 

9,090 

34 

1,277 

1,548 

16 

243 

15 

729 

45 

147 

20 

547 

3 

6,788 

15 

1,727 

33 

261 

2 

958 

50 

607 

13 

1,228 

5 

949 
6,262 

386 
28,770 
4,385 
16,869 
6,721 
7,165 
2,957 
1,624 
4.414 

196 

6 

674 

205 

148 

1 

1.062 

768 

160 

47 

20 


7,944 

36 

398 

7 

26.279 

52 

116 

7 

759 

15 

303 

13 

141 

2 

1,167 

82 

9,153 

34 

1,278 

1,556 

16 

244 

15 

743 

46 

147 

20 

551 

3 

6,872 

15 

1,731 

33 

261 

3 

982 

50 

610 

19 

1,229 

5 

960 
6,285 

386 
29,032 
4,402 
16,942 
6.788 
7,187 
2.983 
1.628 
4.432 

209 
6 

675 

208 

148 

1 

1,062 

773 

160 

47 

20 


5 


39 


80 
2 

6 


113 

1 

26 

1 

389 
1 
7 


1.415 

1 

156 


5,884 

28 

172 

5 

20,076 

26 

37 

5 

549 

11 

152 

7 

58 

1 

864 

64 

6,224 

28 

904 

1,129 

10 

143 

9 

451 

17 

98 

13 

316 

3 

4,553 

11 

1.225 

31 

121 


347 

4 

21 

1 

2,292 

9 

9 

1 

34 

5 
4 
6 


61 




5 


8 


4 






Fairfax Police Department 


28 


64 


528 


2,596 
16 
60 

1 
137 

92 

2 

49 


306 








1 


2 






Fluvanna State Police 






Gloucester 


1 


6 


2 


28 


1 


Gloucester State Police 


1 






2 


4 


46 


2 


Goochland State Police 






Greene 




1 


2 


23 


1 






1 


Hanover 


5 


5 
I 

43 


10 


12 


212 

9 

1,652 

1 

197 

175 

-> 

87 

179 

4 

34 

144 


58 

8 

587 

2 

50 

115 

3 

8 

2 

27 

23 
8 
3 

34 


1 


Henrico Police Department 


6 


171 

1 
24 
15 


407 

1 

91 

97 

1 
1 


63 


Henrico State Police 






1 


10 

17 


1 




8 


Loudoun State Police 






New Kent 




T 


T 


1 




2 
6 






9 


5 


52 
1 
4 

3 

41 


14 


Pittsvlvania Stale Police 


1 


Powhatan 


2 

1 

2 




1 












5 


5 


4 






Prince William Police Department 

Prince William State Police 


4 


48 


127 

2 

23 


212 


1.325 


519 

2 
65 

1 
24 


84 






2 


76 


336 

1 

80 


4 


Roanoke Slate Police . . . 






Scott 


1 




4 


31 

2 
28 




Scott State Police 




1 


Stafford 


2 


7 

1 

18 


13 


232 


571 

43 

268 

7 

861 

3 

386 
3.688 

193 
17.449 
2.616 
9,350 
3,452 
4,367 
1,649 

844 
1,969 

98 

3 

451 

106 

65 

1 

511 

341 

55 

11 

11 


105 
6 

35 
3 

55 

1 

50 
439 

29 
2.729 
244 
1,001 
512 
479 
141 

78 
238 

16 

1 
23 
23 
18 


24 


Stafford State Police 




Washington 


2 


4 

1 

12 


22 


258 

2 
213 


3 


Washington Slate Police 


6 


York 


4 


7 


76 

1 

112 
195 

18 
729 
191 
890 
230 
137 
131 

39 
182 

12 
1 

30 
4 
6 


1 


York State Police 




WASHINGTON 

Benton 


1 
12 


28 

54 

2 

420 
44 

285 
60 
56 
62 
32 
67 

6 

1 
7 


5 
81 


367 
1,793 

144 
6,965 
1,258 
4,944 
2,387 
2.061 

960 

625 
1,910 

64 


1 1 


Clark 


23 






King 


10 

7 
24 
6 
1 
2 
1 
II 


468 

25 
375 
74 
64 
12 
5 
37 


262 


Kitsap 


17 




73 


Snohomish 


67 


Spokane 


22 




26 




4 


Yakima 


18 


WEST VIRGINIA 

Brooke 


13 


Brooke Slate Police 








Cabell ,. 


3 


5 
3 
1 


155 
69 

57 


1 


Cabell State Police 


3 






1 




Hancock State Police 








14 

1 
1 


6 

23 
1 
1 


20 

7 
2 

1 
1 


42 
17 
13 
9 
2 


358 

283 

80 

19 

6 


111 

96 

8 

6 






5 


Marshall 




Marshall State Police 




Mineral 







138 



lable 8. — Number of Offenses Known to Ihc Police, Suburban Counties, 1989 — Continued 



CouniN h\ Stale 



Crime 
Index 

toial 



Modified* 
Crime 
Index 

lolal 



Murder 
and non- 
negligeni 

man- 
slaughter 



Forcible 
rape 



Robberv 



Aggra- 
\ated 
assault 



Burglary 



Larceny 
tlieft 



Motor 

vehicle 

theft 



WEST MRGINIA— Continued 

Mineral Slate Police 

Ohio 

Ohio State Police 

Putnam 

Putnam Stale Police 

Wayne 

Wayne Stale Police 

Wood 

W ood State Police 

WISCONSIN 

Brown 

Chippewa 

Dane 

Douglas 

Eau Claire 

Kenosha 

La Crosse 

Marathon 

Milwaukee 

Outagamie 

Ozaukee 

Racine 

Rock 

St. Croix 

Sheboygan 

Washington 

Waukesha 

Winnebago 

WYOMING 

Laramie .' 

Natrona 



170 
224 

30 
532 

86 
125 
207 
372 
100 



1.318 
354 

1.495 
355 
438 

1,288 
247 
542 
766 

1.160 
243 
862 
581 
409 
554 
893 

1.445 
534 



470 
538 



173 
225 

30 
536 

87 
125 
213 
375 
103 



1.324 
356 

1.508 
355 
445 

1.296 
249 
543 
772 

1,160 
245 
868 
588 
412 
556 
902 

1.456 
536 



486 
539 



26 

7 

168 

T 

10 
7 
40 
31 
45 
69 
5 
29 

107 
29 
20 
32 

110 
16 



65 

69 
5 

151 
35 
53 
89 

114 
33 



212 

78 

368 

159 

163 

260 

52 

92 

6 

195 

54 

221 

136 

92 

112 

209 

332 

125 



114 
144 



81 

130 
20 

353 
32 
57 
92 

220 
42 



1.017 
245 
865 
178 
245 
924 
134 
381 
651 
864 
162 
544 
308 
253 
379 
607 
917 
367 



253 
326 



6 
2 
13 



2 
6 
7 
3 
2 
9 
II 
2 



16 
1 



'Forcible rape figures furnished b> the state-level Uniform Crime Reporting (UCR) Program administered by the Illinois Depanment 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 9. — Number of Offenses Known to the Police, Rural Counties 25,000 and over in Population, 1989 

[The data shown in this table do not reflect county totals but are the number of offenses reported by the shenfTs oflice. county police department, or state pchce.) 
' Arson is shown only if 12 months of arson data were received- Leaders (...) indicate zero data. The Modified Crime Index total is the sum of the Crime Index 
offenses, including arson 



County by State 



Crime 
Index 
total 



Modified* 
Crime 
Index 
total 



Murder 
and non- 
negltgenl 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 

theft 



ALABAMA 

Cullman 

Jackson 

Lee 

Limestone 

Marshall 

Morgan 

ARIZONA 

Apache 

Coch ise 

Cocon mo 

Mohave 

Navajo 

Yavapai 

ARKANSAS 

Benton 

Garland 

Independence 

Mississippi 

White 

CALIFORNIA 

Calaveras 

Calaveras Highway Patrol 

Humboldt 

Humboldt Highway Patrol 

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 Stale Police 

Sussex State Police 

FLORIDA 

Charlotte 

Citrus 

Columbia 

Highlands 

Indian River 

Jackson 

Lake 

Monroe 

Okeechobee 

Putnam 



501 
271 
587 
.152 
344 
592 



181 
948 
682 
1.437 
489 
998 



782 
240 
845 
561 

431 



794 

68 

2,078 

54 

1,308 

71 

1,136 

56 

1,867 

123 

1.412 

145 

1.523 

106 

1.746 

146 

729 

56 

1,165 

61 



1,571 



1 .853 
2.698 



2.457 
2.236 
726 
1.515 
2.609 
1,046 
3,086 
4,876 
1.159 
3.446 



353 
344 
596 



181 
962 
687 

1.459 
495 

1,012 



794 
242 
848 
574 
436 



838 
2.105 
1,328 
1.143 
1.897 
1.429 
1.525 
1.758 

764 
1.175 



1.585 



1.853 
2,702 



2,460 
2.247 
728 
1,517 
2,619 
1,048 
3,094 
4,891 
1,177 
3,463 





20 








16 






2 


8 


II 


28 


7 


19 


1 


17 


2 


26 


1 


5 




9 







84 
107 



10 

7 

16 

8 

32 

10 

36 

22 

8 

101 



14 

7 

74 

55 

3 

124 



12 
120 

62 
128 

35 

77 



41 

4 

27 

117 

14 



57 
233 



257 
167 



218 

I 

84 



149 
177 



56 



226 
338 



73 
120 
100 
109 
200 

80 
310 
495 
216 
404 



162 
110 
205 
104 
178 
186 



57 
320 
230 
571 
178 
345 



403 
108 
211 
173 
186 



389 

647 



436 

378 



757 
738 
418 
538 
254 
384 



370 



451 
739 



904 

728 

439 

666 

842 

302 

1,161 

1,2.TO 

315 

1.408 



286 
101 
272 
158 
119 
253 



103 
435 
339 
624 
252 
494 



281 
86 
558 
216 
191 



331 

15 

1,160 



563 

12 

546 



825 

10 
538 

31 
912 

22 
982 

28 

360 

5 

708 



1.057 



949 
1.385 



1.317 
1.257 

125 

590 
1.220 

576 
1,346 
2.817 

523 
I.. 308 



32 
42 
20 
27 
36 
22 



3 
62 
39 
100 

17 
54 



41 
32 
31 
35 

37 



4 
53 

2 

54 

12 

59 

21 

56 

9 

112 

3 

114 

8 

84 



118 

5 
49 



61 



73 



116 
77 



125 
102 

23 
110 
248 

49 
203 
248 

83 
164 



140 



Table 9.— Number of OfTenses Known to the Police, Rural Counties 25,000 and over in Population, 1989— Continued 



Countv by State 



GEORGIA 



Bartow 

Flo\J Police Department 
Glynn Police Department 

Lowndes 

Whitfield 



HAWAII 



Hawaii 
Kauai . 
Maui .. 



IDAHO 



Bonneville 

Canyon 

Kootenai 



ILLINOIS' 



Adams ... 
La Salle .. 

Ogle 

Vermilion 



INDIANA 



Bartholomew 

Bartholomew State Police 

Grant 

Gram State Police 

La Porte 

La Porte State Police .... 

Wayne 

Wavne State Police 



KANSAS 
Riley Police Department 
KENTUCKY 



Floyd 

Floyd State Police 

Hardin 

Hardin State Police — 

Harlin 

Harlin Slate Police 

Knox Slate Police 

Laurel 

Laurel State Police 

McCracken 

McCracken State Police 

Perry Slate Police 

Pike 

Pike State Police 

Pulaski 

Pulaski State Police .... 

Warren 

Warren Stale Police 



LOUISIANA 



Acadia 

Plaquemines 
St. Landry ., 
Vernon 



Crime 
Index 

total 



938 

1,932 
2.. '596 
1,802 
2.100 



3,770 
2,774 
7,213 



775 
872 
.006 



Modified* 
Crime 
Index 
total 



369 

48 
404 

26 
971 

89 
418 

53 



246 



570 
44 
177 
5 
385 
310 
262 
334 
597 
156 
449 
100 
864 
327 
32 
127 
382 



476 
701 
921 
995 



1,977 

1,815 
2,138 



3,788 
2,781 
7,247 



775 

877 

1,014 



Murder 
and non- 
negligent 

man- 
slaughter 



372 
48 

26 
971 

89 
426 

53 



629 
54 
178 
5 
397 
332 
263 
348 
597 
162 
464 

914 

328 

32 

386 



483 
701 
926 



Forcible 
rape 



Aggra- 
vated 
assault 



1 

67 
159 

34 
138 



112 

62 

263 



Burglary 



85 

42 
19 
42 
74 
25 
109 
-) 

144 



63 
78 
88 
122 



515 
712 
664 
596 
673 



960 

676 

1,965 



Larceny- 
theft 



245 
342 
356 



116 
200 

74 
335 



114 

9 

142 

4 

304 

II 

137 

12 



67 



1 

200 

13 

83 



100 
106 

82 
109 
154 

42 
132 

25 

245 

132 

7 

32 
119 



89 
157 
283 
198 



.329 
970 

1.446 
966 

1,062 



2,429 
1,866 
4,570 



Motor 

vehicle 

theft 



429 
421 
511 



186 
298 
152 
579 



206 

19 

229 

9 

585 
35 

239 
19 



158 



227 

20 

39 

I 

134 

100 

143 

99 

335 

76 

149 

60 

393 

160 

14 

86 

130 



292 
431 
467 
601 



91 
149 
236 
147 
178 



230 
135 

333 



12 



45 



13 

38 



18 

7 
34 



1 

67 


59 


5 


10 


17 


1 


4 




56 


12 


47 


22 


14 


1 


65 


14 


->7 




10 


6 


45 


15 


13 




63 


50 


29 
1 


1 


6 




35 


4 



141 



Table 9. — Number of Offenses Known to the Police, Rural Counties 25,000 and over in Population, 1989 — Continued 



County by Stale 



Crime 
Index 
total 



Modified* 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbers 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 

vehicle 

theft 



MAINE 

Aroostook 

Aroostook State Police 

Hancock 

Hancock Stale Police 

Penobscot 

Penobscot State Police 

Somerset 

Somerset State Police 

Waldo 

Waldo State Police 

York 

York State Police 

MARYLAND 

Garrett 

Garrett Slate Police 

St. Mary's 

Si. Mary's Slate Police .... 

Wicomico 

Wicomico State Police 

MICHIGAN 

Allegan 

Allegan State Police 

Barry 

Barry Stale Police 

Cass 

Cass State Police 

Grand Traverse 

Grand Traverse Stale Police 

Hillsdale 

Hillsdale State Police 

Ionia 

Ionia State Police 

Isabella 

Isabella State Police 

Lenawee 

Lenawee State Police 

Mecosta 

Mecosta State Police 

Montcalm 

Montcalm State Police 

Newaygo 

Newaygo Slate Police 

St Joseph 

St. Joseph State Police 

Sanilac 

Sanilac Slate Police 

Shiawassee 

Shiawassee State Police 

Tuscola 

Tuscola State Police 

Van Buren 

Van Buren State Police 

MINNESOTA 

Crow Wing 

Itasca 

Otter Tail 

MISSISSIPPI 

Jones 

Lowndes 



123 
439 
479 

45 
566 
237 
324 
137 
121 

95 
362 
311 



316 

298 

1.731 

672 
608 

721 



1,261 
519 
480 
532 

1.124 
140 
971 
454 
375 
190 
308 
466 
444 
192 
759 
254 
472 
102 
925 
307 
524 
353 
602 
276 
545 
329 
459 
200 
451 
298 

1,026 

1.017 



730 
638 
512 



410 
411 



127 
442 
480 

45 
566 
239 
324 
137 
121 

95 
371 
311 



316 
305 
1.742 
691 
608 
739 



1,266 
531 
485 
543 

1,144 
148 
978 
458 
380 
197 
315 
477 
445 
196 
767 
260 
474 
102 
929 
320 
.529 
361 
607 
.301 
545 
334 
462 
204 
457 
305 

1.031 

1,041 



731 
643 
513 




90 
26 
196 
72 
122 
113 



55 

189 

181 

15 

200 

80 

98 

67 

49 

38 

156 

104 



69 
109 
524 
179 
156 
229 



294 
154 
148 
181 
501 

45 
167 
119 
105 

68 

72 
103 
128 

57 
205 

68 
151 

57 
294 
126 
202 
163 
143 

75 
212 
147 
138 

59 
159 

77 
417 
321 



2.36 
262 
210 



210 
166 



66 
197 
270 

I 

328 

105 

197 

46 

57 

37 

172 

154 



128 
131 
888 
326 
286 
317 



767 
289 
271 
263 
523 

63 
710 
275 
212 

93 
164 
291 
279 

99 
468 
135 
293 

29 
498 
144 
226 
136 
408 
141 
225 
139 
251 
104 
247 
153 
502 
532 



392 
316 
240 



189 
154 



36 
23 

4 
23 
32 
21 
20 

5 

10 
21 
19 



25 
26 
74 
55 
20 
34 



69 
29 
19 
26 
42 
II 
27 
25 
13 
II 
12 
34 
20 
12 
37 
23 
3 
3 
32 
II 
16 
17 
26 
15 
21 
12 
35 
15 
20 
23 
45 
52 



60 
39 
35 



42 



142 



Table 9. Number of Offenses Known to the Police, Rural Counties 25,000 and over in Population, 1989 — Continued 



Counly by Slate 



MISSOURI 



Camden — 

Cole 

Pulaski 

Si. Francois 



MONTANA 



Flathead 
Missoula 



NEVADA 



Carson City 

NEW HAMPSHIRE 



Hillsboro Stale Police ... 
Roclcingliain State Police 



NEW MEXICO 



San Juan 



NEW YORK 



Allegany State Police .... 

Cattaraugus 

Cattaraugus Slate Police . 

Cayuga 

Cayuga State Police 

Chautauqua 

Chautauqua State Police . 

Chenango 

Chenango State Police ... 

Clinton 

Clinton Slate Police 

Columbia 

Columbia State Police ... 

Delaware 

Delaware State Police 

Essex State Police 

Franklin State Police — 

Genessee 

Genesee Stale Police 

Jefferson 

JefTerson State Police .... 

Otsego 

Otsego State Police 

St. Lawrence 

St. Lawrence Stale Police 

Steuben 

Steuben Slate Police 

Sullivan 

Sullivan Slate Police 

Tompkms 

Tompkins Slate Police ... 

Ulster Stale Police 

Wyoming 

Wyoming Stale Police ... 



NORTH CAROLINA 



Beaufort 
Brunswick 
Carteret . . 
Chatham . 
Cleveland 
Craven . . . 
Duplin ... 



Crime 
Index 
total 



509 
498 
160 
242 



1,308 
1,269 



1.818 



695 



543 
459 
566 
457 
524 

1,052 

342 

299 

283 

16 

1,209 
415 
465 
166 
495 
603 
523 
640 
186 
510 
669 
145 
487 
668 
655 
481 
674 
463 

1,058 
850 
448 

1.316 
517 
167 



661 

259 
1,061 

760 
1,651 
1,282 

596 



Modified* 
Crime 
Index 

total 



516 
501 



242 



1,312 
1,275 



1.825 



699 



556 
474 
572 
472 
530 

1,074 

343 

311 

288 

16 

1,220 
417 
466 



609 
548 
649 
187 
529 
670 

490 

672 
498 
680 
463 

851 
450 
1.337 
518 
167 



664 

259 
1.064 

764 
1,653 
1,282 

603 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robberv 



13 



Aggra- 
vated 
assault 



74 



Burglary 



42 
35 
46 
51 
80 
19 
15 
29 
10 
5 
151 
67 
26 
22 
33 
39 
70 
II 
32 
48 
27 
17 
19 
65 
55 
2 

6 
64 
51 
4 
9 
95 
44 
73 



266 

124 

81 

73 



257 
216 



347 



207 



275 
155 
217 
127 
137 
309 
73 
90 
105 



Larceny- 
theft 



326 
149 
150 

58 
236 
249 
154 
139 

44 
156 
192 

50 
146 
227 
297 
184 
200 
127 
456 
242 
841 
470 
250 

40 



312 

91 

431 

355 
736 
416 
250 



199 

315 

26 

153 



917 
911 



,247 



Motor 

vehicle 

theft 



341 



209 

237 
287 
255 
291 
705 
246 
169 
157 

II 
701 
177 
263 

73 
206 
296 
277 
452 

93 
279 
429 

71 
299 
344 
272 
282 
423 
252 
498 
567 
333 
679 
175 

48 



237 
126 

554 
325 
742 
707 
215 



14 

27 



98 

76 



45 



10 
28 
10 
24 
8 
1 

6 
10 
8 



17 
19 
22 

9 
16 
13 

9 
29 
15 
13 
15 

7 
16 
27 
21 
12 
43 
12 
39 
26 
15 
47 
40 

3 



42 
27 
59 
37 
76 
81 
38 



143 



Table 9.— Number of Offenses Known to the Police, Rural Counties 25,000 and over in Population, 1989— 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* 


NORTH CAROLINA— Continued 


615 
935 
716 

1,126 
413 

1,427 
709 
791 

1,005 

1,061 
577 
990 
713 
459 
728 

1,431 

215 

1,208 
354 
334 
482 
140 
170 
474 
884 

1,001 
430 
609 
200 
786 

1,598 
411 
229 
279 
806 

711 
120 

1,056 
253 

1,555 
126 

1,385 

48 

772 

537 

1,218 
92 

533 
672 
665 
1,212 
439 
484 
701 
949 
543 
577 


628 
938 
718 

1,129 
418 

1,428 
715 
791 

1,012 

1,071 
578 
992 
720 
459 
729 

1,441 

215 

1,223 
354 
334 
489 
166 
170 
474 
890 

1,012 
430 
616 
200 
786 

1.621 

234 
285 
815 

718 
121 

1,058 
253 

1,561 
129 

1,400 

51 

776 

545 

1,231 
92 

547 
685 
680 
1,243 
452 
503 
712 
967 
564 
590 


7 

5 


7 
8 
1 
11 
5 
6 
2 

5 

3 
15 

4 
10 

3 


5 

11 

5 

9 

1 

20 

6 

10 

20 

19 

5 

4 

2 

4 

6 

8 


25 
44 
14 
44 
19 
14 
33 
13 
32 
72 
58 
174 
48 
19 
42 
43 

24 

23 
37 

1 
53 
24 

8 
21 
34 
49 

5 
26 
53 
53 
112 
28 

8 

1 
19 

74 
11 
13 
24 
65 
17 
9 
3 

16 

59 

63 

7 

18 
27 
16 
89 
9 
22 
28 
58 
11 
62 


274 
409 
353 
457 
214 
610 
247 
321 
409 
485 
198 
515 
234 
239 
298 
617 

45 

362 
114 

52 
177 

68 

40 
169 
257 
260 
100 
194 

35 
183 
462 
142 

67 
103 
206 

207 

18 
317 

44 
544 

23 
414 
6 
294 
157 
491 

10 

208 
254 
319 
396 
207 
191 
323 
289 
193 
230 


264 
409 
301 
514 
155 
623 
369 
374 
469 
385 
255 
195 
348 
180 
345 
670 

130 

752 
179 
258 
222 
2 
112 
259 
553 
628 
298 
347 
110 
497 
920 
218 
139 
148 
497 

372 

67 
651 
114 
824 

57 
845 

24 
402 
252 
580 

41 

249 
346 

278 
614 
187 
224 
283 
510 
247 
248 


33 
49 
42 
89 
17 
145 
48 
63 
65 
82 
51 
78 
76 
16 
34 
83 

16 

49 
22 
20 
18 
23 
10 
21 
27 
58 
25 
28 
1 
33 
89 
13 
14 
23 
55 

47 
15 
66 
22 
107 
14 
97 
6 
45 
39 
58 
13 

50 
37 
42 
98 
27 
34 
51 
58 
77 
28 


13 


Halifax 










2 
2 
9 
4 
5 
7 
3 
6 
14 
2 
1 
3 
4 












McDowell 


6 






Nash 


7 


Pitt 


10 




1 




2 




7 




5 






fl 




6 


10 








3 


8 
1 
3 
11 
16 


11 

1 


J 
















1 
4 


7 




3 


26 










2 
1 


2 
12 
5 
1 
4 








6 




1 


11 




1 
6 






4 
1 


7 








15 
4 

7 


5 
9 
3 

1 
1 
7 

2 
1 
3 






2 


23 






Shelby 




5 




2 

1 


2 
20 

8 

8 

4 

49 

10 

10 

11 

9 

3 

21 

7 

20 

7 

2 

9 

13 

8 

11 

10 

14 

9 

3 


6 


Wayne 


9 


OREGON 


7 




1 




2 


2 








2 


3 

5 
8 


6 




3 




1 


15 




3 




4 
1 
3 


8 
8 
16 

1 

1 

6 
1 

2 
1 
1 
5 

15 
6 
5 


4 




8 




13 






PENNSYLVANIA 




14 






13 






15 






31 






13 




1 
1 
5 


19 




11 


Franklin State Police 


18 




21 


Huntingdon State Police 


1 


13 



144 



Table 9. — Number of Offenses Known to the Police, Rural Counties 25,000 and over in Population, 1989 — Continued 



County hy Slate 



Crime 
Indev 

total 



Modified* 
Crime 
lnde\ 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Foreihle 
rape 



Robberv 



Aggra- 
vated 
assault 



Burglary 



Lareeny- 
theft' 



Motor 

vehiele 

theft 



PENNSYLVANIA— Continued 

Indiana State Police 

JelTerson State Police 

Lawrence State Police 

Northumberland Slate Police 

Schuylkill State Police 

Venango Stale Police 

Wayne Slate Police 

SOUTH CAROLINA 

Beaufon 

Cherokee 

Chesterfield 

Colleton 

Darlington 

Georgetown 

Greenwood 

Horr> Police Department 

Kershaw 

Lancaster 

Laurens 

Oconee 

Orangeburg 

Sumter 

Williamsburg 

TENNESSEE 

Bradley 

G reene 

Hamblen 

McMinn 

Monroe 

Roane 

TEVAS 

Anderson 

Angelina 

Henderson 

Hood 

Hunt 

Rusk 

Starr 

Van Zandt 

Wise 

UTAH 

Cache 

VIRGINIA 

Accomack 

Accomack Slate Police 

Augusta 

Augusta State Police 

Bedford 

Bedford State Police 

Buchanan 

Buchanan State Police 

Carroll 

Carroll Stale Police 

Fauquier 

Fauquier Stale Police 

Franklin 

Franklin Stale Police 

Frederick 

Frederick Stale Police 



780 

556 
-165 
666 
643 
596 



4,476 

825 

626 

920 

1,665 

878 

1,477 

5.395 

927 

1.404 

1.047 

926 

3.550 

2.748 

496 



685 
639 
464 
400 
223 
604 



532 
806 
798 
477 
804 
887 
593 
646 
531 



635 



349 

77 
867 

31 
614 

14 
298 

90 
305 

II 
414 

41 

626 

4 

1,051 

41 



802 
296 
574 
368 
681 
648 
601 



4,488 

842 

641 

938 

1,680 

888 

1.481 

5.416 

930 

1.407 

1 .066 

927 

3,601 

2.762 

502 



686 
663 

468 
400 
245 
612 



537 
808 
800 
484 
807 
891 
598 
652 
531 



638 



352 

79 
867 

32 
618 

14 
299 

99 
308 

11 
422 

42 

629 

4 

1,052 

41 



375 
106 

95 
142 
234 

90 
177 
288 

68 
130 
224 

91 
739 
528 
119 



42 
50 
7 
46 
20 
122 



17 



322 
140 
218 
155 
211 
255 
348 



1,263 
293 
226 
242 
510 
286 
432 

1,333 
290 
397 
372 
320 

1,031 
901 
148 



185 
299 
150 
171 
145 
180 



213 
246 
416 
189 
368 
453 
295 
301 
231 



143 



154 

14 

168 

I 

208 

2 

90 

29 

154 

■> 

145 
5 

188 
1 

200 
5 



337 
124 
231 
174 
351 
316 
162 



2,533 
327 
243 
450 
750 
425 
785 

3,256 
475 
762 
346 
460 

1,407 

1 ,095 
164 



374 
205 
244 
161 
33 
260 



219 
466 
308 
224 
350 
279 
190 
250 
244 



159 

50 
594 

20 

352 

9 

114 

38 

117 

7 

209 

27 

369 

I 

720 

18 



74 
19 
68 
19 
42 
40 
34 



198 
84 
39 
51 

124 
49 
56 

408 
72 
78 
63 
44 

210 

150 
33 



66 
75 
59 
16 
19 
31 



34 
82 
38 
25 
54 
43 
35 
48 
23 



9 
9 

33 

4 
22 

3 
38 

9 
21 

I 
36 

7 
52 

2 
87 
18 



145 



Table 9. — Number of Offenses Known to the Police, Rural Counties 25,000 and over in Population, 1989 — Continued 



County by Slate 



Crime 
Index 

total 



Modified* 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 

theft 



VIRGINIA— Continued 

Halifax 

Halifax Stale 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 

Grant 

Island 

Lewis 

Mason 

Skagit 

WEST VIRGINIA 

Berkeley 

Berkeley State Police 

Fayette 

Fayette State Police 

Harrison 

Harrison State Police 

Jefferson 

Jefferson State Police 

Logan 

Logan State Police 

McDowell 

McDowell State Police 

Marion 

Marion State Police 

Mercer 

Mercer Stale Police 

Mingo 

Mingo Slate Police 

Monongalia 

Monongalia Slate Police 

Raleigh 

Raleigh State Police 

Wyoming 

Wyoming Stale Police 

WISCONSIN 

Barron 

Clark 

Columbia 

Dodge 

Fond du Lac 

Grant 

Jefferson 

Manitowoc 

Marinette 

Polk 

Portage 

Sauk 

Shawano 

Walworth 



279 

31 
1.973 

25 
393 

33 
166 

33 
2,161 

68 
333 

32 
219 

II 



1.178 

812 

785 

952 

434 

1.055 

1.311 

1.006 



998 
422 

98 
157 
326 
146 
117 
334 
123 
505 

59 
160 
259 
145 
406 

90 
109 
266 
268 
320 
958 
254 
195 

92 



492 
450 
666 
275 
431 
340 
440 
483 
592 
590 
551 
194 
589 
764 



279 

31 
1.982 

27 
394 

33 
166 

39 
2.161 

68 
334 

38 
221 

15 



1,183 

814 

791 

953 

435 

1.064 

1.327 

1.013 



1.039 
422 

98 
163 
326 
147 
117 
336 
129 
525 

59 
162 
267 
146 
408 

90 
112 
278 
277 
320 
963 
254 
200 

97 



494 
452 
670 
275 
431 
346 
443 
490 
593 
591 
552 
194 
592 
766 



4 


4 


4 


16 


6 


2 


1 








1 


6 


4 


7 











2 I 

1 

2 
1 2 

I 3 
4 



15 



10 



6 
4 
41 
1 
128 
2 



75 

5 

614 

4 

112 



52 

6 

316 

4 

56 
4 

64 



343 
168 
268 
365 
155 
411 
608 
348 



336 

178 
38 
63 

120 
65 
47 

159 
39 

147 

5 

79 

73 

58 

102 
36 
23 
73 
64 
81 

178 
43 

114 
37 



177 
126 
161 

98 

79 
117 

69 
110 
261 
232 
161 

12 
177 
187 



163 

18 

1,139 

II 

247 

14 

88 

15 

1,648 

54 

132 

21 

134 

5 



718 
561 
434 
470 
198 
533 
580 
564 



568 

178 

46 

59 

161 

58 

58 

130 

52 

214 

37 

32 

134 

71 

210 

28 

47 

109 

188 

188 

683 

188 

55 

39 



230 
280 
463 
151 
293 
184 
316 
316 
304 
258 
315 
180 
328 
518 



13 
6 
122 
7 
10 
18 
18 
8 
134 
9 
6 
5 
18 
4 



65 
31 
46 
92 
50 
51 
63 
61 



61 
41 
13 
20 
29 
15 
9 
35 
13 
64 



23 
27 
14 
21 
21 
14 
59 
13 
44 
57 
22 
12 
15 



35 
20 
30 
17 
44 
22 
14 
37 
14 
86 
30 



46 
49 



146 



Xablc 9.— Number of Offenses Known to the Police. Rural Counties 25,000 and over in Population, 1989— Continued 



County by Slate 


Crime 
Index 
total 


Modified* 
Crime 
Index 
total 


Murder 
and non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 

vehicle 

theft 


Arson* 


WISCONSIN— Continued 


575 
536 

4.602 

13 

203 

9.811 

128 

2.246 

6.260 

15 

4.535 
10.542 


576 
541 

13 

9.920 

128 

2.267 

15 

4.571 
10.579 




2 
5 

77 




42 
3 

602 
13 


160 
200 

1,370 


340 
292 

2.094 


31 
33 

418 


1 


^X/rtnA 




3 

19 


5 


STATE AGENCIES 

Al:i<:lia Slate Police 


22 




Arizona Department of Public Safety . . 














203 
836 

25 
178 
313 






15 


80 


130 


1,066 

7 

408 

174 

15 

142 
1.690 


3,416 

5 

741 

2,222 


4.268 

91 

833 

3,493 


109 








14 
4 


36 
39 


36 
15 


21 










OTHER AREAS 


14 
16 


72 
58 


39 

444 


906 

3,728 


3.093 
3.650 


269 
956 


36 




37 







'Forcible rape figures furnished by the stale-level Uniform Crime Reporting (UCR) Program administered by the Illinois Department of State Police were not in accordance with national UCR 
guidelines Therefore, the figures were excluded from the forcible rape. Crime Index total, and Modified Crime Index total categories. 



147 



Table 10.— Crime Trends, Offenses Known to the Police, Population Group, 1988-1989 

(1989 estimated population] 



Population group 



Crime 
Index 
total 



Modified 
Crime 
Index 
total' 



Violent 
crime- 



Property 
crime' 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
Ihel't 



Motor 

vehicle 

theft 



TOTAL ALL AGENCIES: 

12,092 agencies; 
population 217,404,000: 

1988 

1989 

Percent change 

TOTAL CITIES: 8,434 cities; 
population 148,915,000: 

1988 

1989 

Percent change 

Group I 

59 cities, 250.000 and over; 
population 43.685,000: 

1988 

1989 

Percent change 

7 cities. 1,000,000. and over; 
population I9..W3.000: 

1988 

1989 

Percent change 

18 cities. 500.000 to 999.999; 
population 12.137.000: 

1988 

1989 

Percent change 

34 cities. 250.000 to 499.999; 
population 12.245.000; 

1988 

1989 

Percent change 



12,113,305 
12,395,637 

-1-2.3 



10,060,648 
10,310,791 

-1-2.5 



,238,265 

,342.398 

-F2.5 



.810.904 

,858,706 

+2.6 



Group II 

117 cities, 100,000 to 249,999 
population 17.051,000: 

1988 

1989 

Percent change 

Group III 

305 cities. 50,000 to 99,999; 
population 20,961.000: 

1988 

1989 

Percent change 

Group IV 

632 cities. 25.000 to 49,999; 
population 21.707.000: 

1988 

1989 

Percent change 



.189,170 
.221,653 

4-2.7 



,238,191 

,262,039 

-1-1.9 



1,379,736 

1.423.882 

-1-3.2 



1.313.535 
1 .344.463 

-1-2.4 



1. 181. 211 

1.205.961 

-t-2.1 



12,210,101 
12,491,061 

-1-2.3 



10,137,478 
10,386,622 

-1-2.5 



4.276.079 

4.379.471 

-F2.4 



1.830.632 

1.877.529 

-(-2.6 



1.197.858 
1.230.41 1 

-t-2.7 



1.247.589 

1.271.531 

-H.9 



1,391.622 

1.435.392 

4-3.1 



1.322.226 
1,353.668 

4-2.4 



1.188.428 

1.213,001 

-1-2.1 



1,357,847 
,431,941 

-1-5.5 



,167,018 

,232,381 

-1-5.6 



666.054 
702,576 

4-5.5 



367.150 

389.391 

4-6.1 



146,943 

150.709 

4-2.6 



151.961 

162,476 

4-6.9 



146,595 

156.763 

4-6.9 



124.981 

132.035 

4-5.6 



95.555 

98.977 

4-3.6 



10,755,458 

10,963,696 

-H.9 



8,893,630 

9,078,410 

-1-2.1 



3.572.211 

3.639.822 

4-1.9 



1.443.754 

1.469.315 

4-1.8 



1.042.227 

1,070,944 

4-2.8 



1.086.230 

1.099,563 

4-1.2 



1. 233. 141 

1.267. 119 

4-2.8 



1.188.554 

1.212.428 

4-2.0 



1.085.656 

1.106.984 

4-2.0 



18,276 
19,092 

-t-4.5 



14,669 
15,509 

4-5.7 



9,170 
9.725 
4-6.1 



4.879 
5.203 
4-6.6 



2.377 
2.547 
4-7.2 



1.914 
1.975 
4-3.2 



1,797 
1.955 
+8.8 



1.267 
1.251 
-1.3 



981 
1. 116 
4-13.8 



77,012 

78,656 

4-2.1 



60,686 
61.192 

4-.8 



28.560 

27.678 

-3.1 



9.372 
9.020 
-3.8 



9.312 
8.974 
-.3.6 



9.876 
9.684 
-1.9 



9.287 
9.515 

4-2.5 



7.951 
8.389 

4-5.5 



6.089 
6.350 
4-4.3 



479,368 
512,943 

4-7.0 



442,776 

474,325 

4-7.1 



300.913 
323.156 

-f-7.4 



176.824 

191,568 

4-8.3 



65.753 
68,013 

4-3.4 



58.336 

63.575 

4-9.0 



51.870 

55.113 

4-6.3 



38.915 

41,634 

4-7.0 



25.602 

27.573 
4-7.7 



783,191 

821,250 
-t-4.9 



648,887 

681,355 

-t-5.0 



327.411 
342.017 

-t-4.5 



176.075 
183.600 

4-4.3 



69,501 

71.175 

4-2.4 



81.835 

87.242 

4-6.6 



83,641 

90.180 

4-7.8 



76.848 

80.761 

4-5,1 



62.883 
63,938 

4-I.7 



2,757,897 

2,702,345 

-2.0 



2,158,878 

2,117,436 

-1.9 



905,310 

884.432 

-2.3 



350.361 

339,576 

-3.1 



265.096 

259,202 

-2.2 



289.853 

285,654 

-1.4 



325,572 

317,945 

-2.3 



290.743 

284.674 

-2.1 



249.109 

245.360 

-1.5 



6,710,838 
6,858,312 

-1-2.2 



5,620,107 

5,742,436 

-1-2.2 



2,034.737 

2.058.512 

4-1.2 



766.178 

770,235 

4-.5 



618.789 

637,691 

4-3.1 



649.770 
650,586 

4-. I 



776,749 

801,045 

4-3.1 



763.043 

782,794 

4-2.6 



741.540 
760.045 

4-2.5 



1,286,723 

1,403,039 

-1-9.0 



1,114,645 

1,218,538 

4-9.3 



632,164 

696.878 

4-10.2 



327.215 

359,504 

4-9.9 



158.342 

174,051 

4-9.9 



146,607 

163,323 

4-11.4 



130.820 

148.129 

4-13.2 



134.768 

144.960 

4-7.6 



95.007 

101.579 

4-6.9 



148 



Table 10. — Crime Trends, Offenses known to the Police, Population Group, 1988-1989 — Continued 



Population group 


Crime 
Index 
total 


Modified 
Crime 
Index 
total' 


Violent 
crimc^ 


Properly 
crime' 


Murder 
and non- 
negligenl 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 

vehicle 

thefi 


Arson' 


Group V 

1.546 cities. 10.000 to 24.999; 
population 24.373.000: 

1988 


1.084.847 
1.107.817 

+2.1 

863.054 
886,270 

+2.7 

1.512.968 

1.534.837 

+ 1,4 

539.689 

550.009 

+ 1.9 


1,090,970 

1.113.913 

+2.1 

868.153 

891,177 

+2,7 

1,527,946 

1.549.253 

+ 1,4 

544.677 

555.186 

+ 1,9 


76.211 

80.899 

+6,2 

57.622 

61.131 

+6,1 

143,543 

150,369 

+4.8 

47,286 

49,191 

+4,0 


1.008.636 

1.026.918 

+ 1,8 

805.432 
825.139 

+2.4 

1,369.425 
1,384.468 

+ 1,1 

492.403 
500.818 

+ 1,7 


815 
853 

+4,7 

6.39 
609 

-4,7 

2.205 

2.221 

+.7 

1.402 
1.362 
-2.9 


5,102 
5.400 
+5.8 

3.697 
3.860 

+4.4 

11.389 

11.937 

+4.8 

4.937 
5.527 
+ 12.0 


17.051 

17.954 

+ 5.3 

8.425 
8.895 
+ 5.6 

32.664 

34.631 

+6.0 

3.928 
3.987 
+ 1,5 


53.243 

56.692 

+6,5 

44.861 

47.767 

+6.5 

97.285 
101.580 

+4.4 

37.019 
38.315 

+3.5 


220.970 

217.424 

-1.6 

167,174 
167.601 

+.3 

412.807 

397.609 

-3.7 

186,212 
187.300 

+ 6 


713.113 

732.579 

+2.7 

590.925 
607,461 

+2,8 

815.923 

834.567 

+2.3 

274.808 
281.309 

+2.4 


74.553 

76.915 

+3.2 

47.333 

50.077 

+5.8 

140.695 

152.292 

+8.2 

31.383 
32.209 

+2,6 


6.123 


1989 


6,096 


Percent chanse 


-.4 


Group VI 

5.775 cities under 10.000; 
population 21,138.000: 

1988 


5.099 


1989 


4.907 




-3.8 


Suburban Counties 

1.092 agencies; 
population 41.367.000: 

1988 


14.978 


1989 


14.416 




-3.8 


Rural Counties* 

2.566 agencies: 
population 27.121.000: 

1988 


4.988 


1989 


5.177 


Percent change 


+3.8 


Suburban Area' 

5,678 agencies: 
population 86,472.000: 
1988 


3.510.841 

3,584.684 

+2,1 


3.538.163 

3.610.972 

+2,1 


287,346 

301,569 

+4,9 


3,223,495 

3,283.115 

+ 1.8 


3.666 
3.722 
+ 1,5 


20.474 

21.290 

+4.0 


68.922 

73.827 

+7.1 


194.284 

202.730 

+4.3 


809.778 

792.269 

-2.2 


2.106,448 

2,162,564 

+2,7 


307.269 

328,282 

+6.8 


27.322 


1989 


26.288 




-3.8 







'The number of agency reports used in arson trends is less than used in compiling trends for other Crime Index offenses. It is not necessary to report arsons by properly classification to be 
included in this table. The Modified Crime Index tolal is the sum of the Crime Index offenses, including arson. 

'Vioienl crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 

'Property crimes are offenses of burglary, larceny-theft, and motor vehicle theft. Data are not included for the property crime of arson. 

^Includes 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. 

Forcible rape figures furnished by the stale-level Uniform Crime Reporting (UCR) Program administered by the Illinois Department of Stale Police were not in accordance with national UCR 
guidelines and were excluded from the forcible rape, violent crime. Crime Index total, and Modified Crime Index total categories 

Complete data for 1988 were not available for the Slates of Florida and Kentucky. See ■Offense Estimation." page 3 for details. 



149 



Table 11. — Crime Trends, Oflenses Known to the Police, Suburban and Nonsuburban Cities', Population Group, 1988-1989 

[1989 estimaied population! 



Population group 



Crime 
Index 
total 



Modified 
Crime 
Index 
total' 



Violent 
crime' 



Property 
crime^ 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 

vehicle 

theft 



Suburban Cities 

TOTAL SUBURBAN CITIES: 

4,S86 cities; 
population 45,104.000: 

1988 

1989 

Percent change 



1,997,873 

2,049,847 

-1-2.6 



2,010,217 
2.061,719 

+2.6 



143,803 
151,200 

-1-5.1 



1,854,070 
1,898,647 

-I-2.4 



1,461 
1,501 

-1-2.7 



9,085 
9,353 
-1-2.9 



36,258 

39,196 

-1-8.1 



96,999 
101.150 

-t-4.3 



396,971 

394,660 

-.6 



1,290,525 
1,327,997 

-1-2.9 



166.574 
175.990 

-t-5.7 



Group IV 

466 cities. 25.000 to 49.999; 
population 15,948,000: 

1988 

1989 

Percent change 

Group V 

1,098 cities. 10.000 to 24.999; 
population 17.433.000: 

1988 

1989 

Percent change 

Group VI 

3.022 cities under 10.000; 
population 11.723.000: 

1988 

1989 

Percent change 

Nonsuburban Cities 

TOTAL NONSUBURBAN 
CITIES: 3,367 cities; 
population 22,114,000: 

1988 

1989 

Percent change 



796.143 

820.594 

-(-3.1 



699.087 

713.303 

-(-2.0 



502.643 

515.950 

-(-2.6 



1,131,239 
1.150,201 

-1-1.7 



Group IV 

166 cities, 25,000 to 49,999; 
population 5.759,000: 

1988 

1989 

Percent change 

Group V 

448 cities. 10.000 to 24,999; 
population 6,940,000: 

1988 

1989 

Percent change 

Group VI 

2,753 cities under 10,000; 
population 9,415.000: 

1988 

1989 

Percent change 



385,068 
385,367 

+.\ 



385,760 

394,514 

-(-2.3 



360,411 
370,320 

+2.7 



801,237 

825.581 

-1-3.0 



703.245 

717,302 

4-2.0 



505,735 

518,836 

-(-2.6 



1,137,334 
1,156,372 

-t-1.7 



65.226 

68,082 

-(-4.4 



48.096 

51.468 

4-7.0 



30,481 

31.650 

■(■3.8 



85,585 

89,807 

■1-4.9 



730.917 

752.512 

-1-3.0 



650.991 
661.835 

-(-1.7 



472.162 

484,300 

-(-2.6 



1,045,654 

1,060,394 

-t-1.4 



650 

739 
-(-13.7 



501 
487 



310 

275 

-11.3 



974 
1.077 
-1-10.6 



3.941 
3.920 

-.5 



3.111 
3.344 
-(-7.5 



2,033 
2,089 
-(-2.8 



5,803 
6,257 
-1-7.8 



18.182 
20,102 
-1-10.6 



12,380 

13,128 

-(-6,0 



5.696 
5.966 

+4.1 



14,820 
15,226 

-1-2.7 



42,453 

43.321 

-1-2.0 



32,104 
34,509 

+1.5 



22.442 

23.320 

-(■3.9 



63,988 

67,247 

-^5.l 



164.311 
163.914 



140.272 

138.669 

-1.1 



92,388 

92.077 

-.3 



240,282 

235,725 

-1.9 



490.023 
506,711 

-(-3.4 



452.979 
463.393 

-(■2.3 



347.523 

357,893 

-(■3.0 



755,053 

772,088 

-I-2.3 



76.583 

81.887 

4-6.9 



57,740 

59.773 

4-3.5 



32.251 

34.330 

4-6.4 



50,319 
52,581 

-t-4.5 



387.191 
387,420 

4-.1 



387,725 

396.611 

4-2.3 



362.418 

372,341 

4-2.7 



30,329 

30,895 

4-1.9 



28.115 
29.431 

4-4.7 



27.141 

29.481 

4-8.6 



354,739 

354,472 

-.1 



357,645 

365,083 

4-2.1 



333,270 
340,839 

4-2,3 



331 

377 

4-13.9 



314 

366 

4-16.6 



329 

334 

4-1.5 



2.148 
2,430 
4-13.1 



1,991 
2,056 

4-3,3 



1,664 
1,771 
4-6.4 



7,420 

7,471 

+ .7 



4.671 
4.826 

4-3.3 



2,729 
2,929 

4-7,3 



20,430 

20,617 

4-.9 



21,139 

22,183 

4-4.9 



22.419 

24,447 
4-9.0 



84,798 

81,446 

-4.0 



80,698 

78,755 
-2.4 



74.786 

75.524 

4-1.0 



251,517 

253,334 

+ .7 



260.134 

269.186 

4-3.5 



243.402 
249,568 

4-2.5 



18,424 

19,692 

4-6.9 



16.813 

17,142 

4-2.0 



15.082 

15.747 
4-4.4 



'Suburban places are wiihin Metropolitan Statistical Areas (MSAs) and include suburban city and county law enforcement agencies within the metropolitan area. Central cities are excluded. 
Nonsuburban places arc outside MSAs. 

n"hc number of agencies used in arson trends is less than used in compiling trends for other Crime Index offenses. It is nol necessary lo rcpon arsons by property classification to be included 
in this table. The Modified Crime Index total is the sum of the Crime Index offenses, including arson 

^Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 

^Property crimes are offenses of burglary, larceny-theft, and motor vehicle theft. Data are nol included for the property crime of arson. 

Forcible rape figures furnished by the state^levcl tjniform Crime Reporting (UCR) Program administered by the Illinois Department of State Police were not in accordance with national UCR 
guidelines and were excluded from the forcible rape, violent crime. Crime Index total, and Modified Crime Index total categories. 

Complete dala for 1988 were not available for the Stales of Florida and Kentucky See "Offense Estimation. " page 3 for details. 



150 



Table 12. — Crime Trends, Offenses Known to the Police, Suburban and Nonsuburban Counties, Population Group, 1988-1989 

(1989 cslimalcd populalion) 



Population group 


Crime 
Index 
total 


Modified 
Crime 
Index 
total' 


Violent 
cnmc^ 


Properly 
crime' 


Murder 
and non- 
ncgligenl 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
as:>aull 


Burglary 


Larccny- 
Ihcft 


Motor 

vehicle 

thcfl 


Arson' 


Suburban Counties' 


























100.000 and over 


























94 counties: 


























populalion 23.512.000: 


























1988 


1.024.536 


1,034.735 


98.594 


925,942 


1,342 


6.724 


27.169 


63,359 


264,545 


557,171 


104,226 


10.199 


1989 


1.032.767 


1.042.367 


103.159 


929,608 


1,377 


6.911 


28.961 


65,910 


250,981 


565,664 


112,963 


9.600 


Percent change 


+.8 


+.7 


+4.6 


+.4 


+2.6 


+2.8 


+6.6 


+4.0 


-5.1 


+ 1,5 


+8.4 


-5.9 


25.000 to 99.999 


























304 counties: 


























population 15.325.000: 


























1988 


.362.391 


365.496 


31.506 


3.30,885 


642 


3,053 


3.671 


24,140 


116,004 


192,795 


22,086 


3,105 


1989 


374,201 


377.318 


33.495 


340,706 


618 


3,390 


3.749 


25,738 


115,283 


202,091 


23,332 


3,117 


Percent change 


+3.3 


+3.2 


+6.3 


+3.0 


-3.7 


+ 1 1.0 


+2.1 


+6.6 


-.6 


+4.8 


+ 5.6 


+.4 


Under 25.000 


























694 counties; 


























population 2.530.000: 


























1988 


126.041 


127.715 


13,443 


112,598 


221 


1,612 


1.824 


9,786 


32,258 


65,957 


14,383 


1.674 


1989 


127.869 


129.568 


13,715 


114,154 


226 


1.636 


1,921 


9,932 


31.345 


66.812 


15,997 


1.699 


Percent change 


+ 1.5 


+ 1.5 


+2.0 


+ 1.4 


+2.3 


+ 1.5 


+ 5.3 


+ 1.5 


-2.8 


+ 1.3 


+ 11.2 


+ 1.5 


Nonsuburban Counties' 




25.000 and over 


























283 counties: 


























population 11.162.000: 


























1988 


221.430 

228.471 
+3.2 


223,299 

230,451 

+3.2 


19,339 

19,911 

+ 3.0 


202,091 
208,560 

+3.2 


491 
493 

+.4 


1,997 
2,202 
+ 10.3 


1,822 
1,954 

+7.2 


15,029 

1 5,262 

+ 1.6 


73,978 

75,271 

+ 1.7 


115,601 

120,209 

+4.0 


12,512 
13,080 

+4.5 


1.869 


1989 


1.980 


Percent change 


+5.9 


10.000 to 24.999 


























688 counties: 


























population 10.794.000: 


























1988 


174,400 

175,813 

+.8 


175,937 

177,404 

+.8 


14,484 

14,923 

+3.0 


159,916 

160,890 

+.6 


520 
508 

-2.3 


1,285 
1,406 
+9.4 


1,075 
1,061 
-1.3 


11,604 

11,948 

+3.0 


63,877 
64,065 

+ .3 


86,721 

87,418 

+.8 


9,318 
9,407 
+ 1.0 


1.537 


1989 


1.591 


Percent change 


+3.5 


Under 10.000 




1.475 counties; 


























population 4.791.000: 


























1988 


120,118 

122,096 

+ 1.6 


121.527 

123.571 

+ 1.7 


10.697 

11.529 

+ 7.8 


109,421 

110,567 

+ 1.0 


343 

305 

-111 


1,432 
1.685 

+ 17.7 


817 

762 

-6.7 


8,105 

8,777 
+8.3 


40.388 

40,143 

-.6 


61,488 

62,704 

+2.0 


7,545 
7.720 
+2.3 


1,409 


1989 


1,475 


Percent change 


+4.7 







'The number of agencies used in arson trends are less than used in compiling trends for other Crime Index offenses. It is not necessary lo report arsons by property classification to be included 
in ihis table. The Modified Crime Index total is the sum of the Crime Index offenses, including arson. 

'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 

'Property crimes are offenses of burglary, larceny-theft, and motor vehicle theft. Data are not included for the property crime of arson. 

*Crime offenses include sheriffs' and county law enforcement agencies. State police offenses are not included. 

Forcible rape figures furnished by the state-level Uniform Crime Reporting (UCR) Program administered by the Illinois Department of State Police were not in accordance with national UCR 
guidelines and were excluded from the forcible rape, violent crime. Crime Index total, and Modified Crime Index total categories. 

Complete data for 1988 were not available for the States of Florida and Kentucky. See "Offense Estimation." page 3 for details. 



151 



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153 



Table 14. — Crime Rales, Offenses Known to the Police, Population Group. 1989 

[1989 estimated population. Rale: Number of crimes per 100.000 mhabitants) 



Population group 



Crime 
Index 
total 



Modified 
Crime 
Index 
total' 



Violent 
crime^ 



Property 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 

vehicle 

theft 



Arson' 



TOTAL ALL AGENCIES: 

12,118 agencies; 
populalion 223,225.000: 
Number of offenses known 
Rate 

TOTAL CITIES: 8.134 cities; 
population 150.111.000: 
Number of offenses known 
Rate 

Group I 

62 cities. 250.000 and over; 
population 44.900,000: 
Number of offenses known 
Rate 

7 cities, 1,000,000 and over; 
population 19,303.000: 
Number of offenses known 
Rate 

19 cities, 500,000 to 999,999: 
population 12.792.000: 
Number of offenses known 
Rate 

36 cities. 250.000 to 499.999; 
population 12.804.000: 
Number of offenses known 
Rale 

Group 11 

123 cities. 100.000 to 249.999; 
population 18.095.000: 
Number of offenses known 
Rale 

Group III 

316 cities. 50.000 to 99.999; 
population 21.653.000: 
Number of offenses known 
Rate 



3,376,395 
5,992.3 



,0,855,956 
7,232.0 



4.519,656 
10.066.1 



1,860,359 
9,637.6 



1,289,304 
10,078.8 



1,369.993 
10.699.4 



1.547,956 
8.554.5 



1.466.249 
6.771.6 



1,566,133 
701.6 



11.810,262 
5,290.7 



20,363 
9.1 



88,654 
39.7 



562,340 
251.9 



894,776 
400.8 



2,963,938 

1,327.8 



7,350,040 
.1,292.7 



1,496,284 

670.3 



,313,399 

875,0 



9,542,557 
6,357,0 



16,156 
10.8 



67,646 

45.1 



507,952 
338.4 



721,645 
480.7 



2,262,883 
1,507.5 



6,009,854 
4.003.6 



1,269,820 
845.9 



736.837 
1.641.1 



391.044 
2.025.8 



160.158 
1.252.0 



185.635 
1.449.8 



172.056 
950.8 



145,442 
671.7 



3,782,819 
8,425.0 



1,469,315 
7,611.8 



1.129.146 
8.826.8 



1.184.358 
9,249.6 



1,375,900 
7,603.7 



1,320,807 
6.099.9 



10.087 

22.5 



5.203 
27.0 



2.712 
21.2 



2,172 
17.0 



2,062 
11.4 



1.366 
6.3 



30.509 
67.9 



10.673 
55.3 



9.583 
74.9 



10.253 
80.1 



10.288 
56.9 



9,544 
44.1 



.1.18,948 
754.9 



191,568 
992.4 



71,953 
562.5 



75.427 
589.1 



61.140 
337.9 



46.455 
214.5 



357.293 
795.8 



183.600 
951.1 



75.910 
593.4 



97.783 
763.7 



98.566 

544.7 



88.077 
406.8 



931.414 
2.078.9 



339.576 
1.759.2 



278.910 
2.180.3 



314.928 
2.459.5 



347.706 
1.921.5 



316,136 
1.460.0 



2.130.176 
4.744.3 



770.235 
3.990.2 



670.958 
5.245-1 



688.983 
5.380.8 



868.388 
4,799.0 



850.411 

3.927.5 



719.229 
1.601.9 



359.504 

1.862.4 



179.278 
1.401.5 



180.447 
1.409.3 



1 59,806 
883,1 



1 54.260 
712.4 



1 



154 



T«ble 14. — Crime Rales, Offenses Known to the Police, Population Group, 1989 — Continued 



Population group 



Group IV 

629 cilics. 25.000 to 49.999; 
population 21.684,000; 
Number of offenses known 
Rate 



Group V 

1.502 cities. 10.000 to 24.999; 
population 23.666.000; 
Number of offenses known 
Rate 



Group VI 

5.502 cities under lO.OOO; 
population 20.II.V000: 
Number of offenses known 
Rate 



Suburban Cou^4TlES 

1.2 5 1 agencies: 
population 46.475.000; 
Number of offenses known 
Rate 



Rural Counties' 

2.733 agencies; 
population 26.639.000; 
Number of offenses known 
Rate 



Suburban .Area' 

5.657 agencies; 
population 90.808.000; 
Number of offenses known 
Rate 



Crime 
Index 
total 



1.287,068 
5,935.5 



1,142.241 
4.826.5 



892.786 
4.438.8 



1.955.286 
4.207.1 



565.153 
2.121.5 



4.138,915 
4.557.9 



Modified 
Crime 
Index 
total' 



Violent 
crime- 



108.502 
500.4 



86.754 
366.6 



63.808 
317.2 



199.923 
4.30.2 



52,811 
198.2 



369,164 
406.5 



Propcrls 
crime' 



1.178,566 
5.435.2 



1,055,487 
4.459.9 



828.978 
4,121.6 



1.755,363 
3,777.0 



512,342 
1.923.3 



3,769,751 
4.151.3 



Murder 
and non- 
negligenl 

man- 
slaughter 



1,174 
5.4 



869 
3.7 



598 
3,0 



:.762 
5.9 



1.445 
5.4 



4,364 
4.8 



l-orcihlc 
rape 



7.201 
33.2 



5.939 
25.1 



4.165 
20.7 



14,930 
32.1 



6.078 



25,763 
28,4 



RohberN 



31,859 
146.9 



19.863 
83.9 



9.687 
48.2 



50,013 
107.6 



4,375 
16.4 



95.884 
105.6 



Aggra- 
vated 
assault 



68.268 
314.8 



60,083 
253.9 



49.358 
245.4 



132,218 
284.5 



40.9 1 3 
153.6 



Burglarx 



268,257 
1,237.1 



227.331 
960.6 



1 70.039 
845.4 



509,293 
1,095.8 



191.762 
719.9 



243.153 
267.8 



940.519 
1,035,7 



Larceny- 
theft 



803.022 
3,703.3 



749,374 
3,166.4 



608.483 
3.025.3 



1,053,171 
2,266.1 



287,015 
1,077.4 



2,452.117 
2,700.3 



Motor 

vehicle 

theft 



107,287 
494.8 



78.782 
332,9 



50,456 
250,9 



192,899 
415.1 



33,565 
126.0 



Arson' 



377,115 
415.3 



'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 42 of this publication. 

'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 

'Property crimes are offenses of burglary, larceny-theft, and motor vehicle theft. Data are not included for the property crime of arson. 

'Includes state police agencies with no counts breakdown. 

'Includes suburban city and county law enforcement agencies within metropolitan areas. Excludes central cities. Suburban cities and counties are also included in other groups. 

Population figures were rounded to the nearest thousand. All rates were calculated on the population before rounding. 

Forcible rape figures furnished by the state-level Uniform Crime Reporting (UCR) Program administered by the Illinois Department of Stale Pohce were not in accordance with national UCR 
guidelines. See Appendix I for details. 



155 



Table 15. — Crime Rates, Offenses Known to the Police, Suburban and Nonsuburban Cities', Population Group, 1989 

11989 estimated population. Rale: Number of crimes per 100,000 inhabitants] 



Population group 



Crime 
Index 
total 



Modified 
Crime 
Index 
total' 



Violent 
crime' 



Property 
crime* 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larcenv- 
thefl 



Motor 

vehicle 

theft 



Suburban Cities 

TOTAL SUBURBAN CITIES: 

4,406 cities; 

population 44,333.000: 
Number of offenses known 
Rate 



Group IV 

472 cities. 25.000 to 49,999; 
population 16,247,000: 
Number of offenses known 
Rate 



Group V 

1,057 cities, 10.000 to 24,999; 
population 16,951,000: 
Number of offenses known 
Rate 



Group VI 

2.867 cities under 10,000; 
population 11.135.000: 
Number of offenses known 
Rate 



Nonsuburban Cities 

TOTAL NONSUBURBAN 

CITIES: 3,227 cities; 

population 21,130,000: 
Number of offenses known 
Rate 



Group IV 

157 cities, 25,000 to 49.999; 
population 5,437,000; 
Number of offenses known 
Rate 



Group V 

435 cities, 10,000 to 24.999; 
population 6,715,000: 
Number of offenses known 
Rate 



Group VI 

2,635 cities under 10,000; 
population 8,978,000: 
Number of offenses known 
Rate 



2,183,543 

4,925.4 



902,580 
5,555,2 



750,021 
4,424.7 



530,942 
4,768.4 



I,I38,SI6 
5,388.0 



384.469 
7,071.7 



392.202 
5.840..1 



361,845 
4,030.2 



169,155 

381.6 



2,014,388 

4.543.8 



1,602 

3.6 



10,747 

24.2 



45,871 

103.5 



110,935 

250.2 



431,226 

972.7 



1,398,946 

3,155,6 



184,216 

415.5 



77,604 

477.6 



57,365 
338,4 



34,186 
307.0 



824.976 
5,077.6 



692,656 
4,086.3 



496,756 
4,461.3 



802 
4.9 



512 
3.0 



288 
2.6 



4,638 
28.5 



3,807 
22.5 



2,302 
20.7 



24.112 
148.4 



14,990 
88.4 



6,769 
60.8 



48,052 
295.8 



38,056 
224,5 



24,827 
223.0 



186,815 
1,149.8 



148,452 
875.8 



95.959 
861.8 



550.572 
3,388.7 



482,486 
2,846.4 



365,888 
3,286,0 



87,589 
539.1 



61,718 
364.1 



34,909 
313.5 



89,873 
425,3 



1,048,643 
4,962,7 



1,0.39 
4.9 



6.522 
.W,9 



15.538 

73,5 



66,774 
316.0 



234,401 
1,109.3 



761,9.33 
3,605.8 



52,309 
247.6 



30.879 
568,0 



29,371 
437,4 



29,623 
329.9 



353,590 
6.503.7 



362,831 
5.403.0 



332.222 
3.700.3 



372 
6.8 



357 
5.3 



310 
3.5 



2.544 
46.8 



2,114 
31.5 



1,864 
20,8 



7,747 
142.5 



4,873 
72.6 



2,918 
32.5 



20.216 
371.8 



22,027 
328.0 



24,531 
27.V2 



81.442 
1.498.0 



78,879 
1,174,6 



74.080 
825.1 



252,450 
4,643.4 



266,888 
3,974.3 



242.595 
2,702.0 



19.698 
362.3 



17.064 
254.1 



15.547 
173.2 



'Suburban places arc within Metropolitan Statistical Areas (MSAs) and include suburban city and county law enforccmcnl agencies within the metropolitan area. Central cities are excluded. 
Nonsuburban places arc outside MSAs, 

'Arson rates are not presented in this table because fewer agencies furnished complete reports for arson than for the other seven Crime Index offenses. Independently tabulated arson rates 
appear on page 42 of this publication. 

'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 

^Property crimes are offenses of burglary, larceny-theft, and motor vehicle theft. Data arc not included for the property crime of arson. 

Population figures were rounded to the nearest thousand. All rates were calculated on the population before rounding. 

Forcible rape figures furnished by the state-level Uniform Crime Reporting (UCR) Program administered by the Illinois Department of State Police were not in accordance with national UCR 
guidelines. See Appendix I for details. 



156 



Table 16.— Crime Rates, Offenses Known to the Police, Suburban and Nonsuburban Counties, Population Croup, 1989 

(1989 estimated population. Rate; Number of crimes per 100.000 inhabuants] 



Population group 



Suburban Counties' 

100.000 and over 

113 counties; 
population 28.542.000: 
Number of offenses known 
Rate 



25.000 to 99.999 

306 counties; 
population 15.469.000; 
Number of offenses known 
Rate 



Under 25.000 

832 counties; 
population 2.464.000: 
Number of offenses known 
Rate 



Nonsuburban Counties' 

25.000 and over 

277 counties; 
population 1 1,105.000: 
Number of offenses known 
Rate 



Crime 
Index 
total 



1.422.543 
4.984.1 



404.610 
2.615.6 



128.124 
5.199.2 



10.000 to 24,999 

664 counties; 
population 10,401.000: 
Number of offenses known 
Rate 



Under 10,000 

1,676 counties; 
population 4,759,000: 
Number of offenses known 
Rate 



238,979 
2.152.0 



172.496 
i.658.5 



1 30,034 

2,732.5 



Modified 
Crime 
Index 
total' 



Violent 
crime* 



148.908 

521.7 



36.861 
238.3 



14.145 
574.0 



Properly 
crime' 



21,568 
194.2 



15,130 
145.5 



1 3,273 
278,9 



1.273.635 
4.462.4 



367.749 
2.377.3 



113.979 
4.625,2 



217,411 
1,957.8 



157,366 
1,513.0 



116,761 
2.453.6 



Murder 
and non- 
negligent 

man- 
slaughter 



1.862 
6.5 



657 
4.2 



243 
9.9 



Forcible 
rape 



508 
4.6 



493 

4.7 



388 
8.2 



9.444 
33.1 



3.785 
24.5 



1.692 
68.7 



Robberx 



2.401 
21.6 



1.527 
14.7 



1.899 
39.9 



43,809 
153.5 



4,248 

27.5 



1,956 
79.4 



Aggra- 
vated 
assault 



2.178 
19.6 



1,095 
10.5 



893 



93.793 
328.6 



28.171 
182.1 



10.254 
416.1 



Burglary 



16.481 
148.4 



12.015 
115.5 



10.093 
212.1 



353.671 
1.239.1 



124,320 
803.7 



31. .302 
1.270.2 



Larceny- 
theft 



78.501 
706.9 



62.382 
599.8 



43.057 
904.8 



767,620 
2.689.5 



219.009 
1,415.8 



66,542 
2,700,2 



Motor 

vehicle 

theft 



125,261 
1,128.0 



85,608 
823.1 



65,169 
1.369.5 



152,344 
533.8 



24,420 
157.9 



16,135 
654.8 



13,649 
122.9 



9,376 
90.1 



8,535 
179.4 



'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 rales 
appear on page 42 of this publication, 

'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 

■Propenv crimes are offenses of burglary, larceny-theft, and motor vehicle theft. Data arc not included for the property crime of arson. 

"Offenses include sheriffs' and counlv law enforcement agencies. Slate police offenses are not included. 

Population figures were rounded to the nearest thousand. All rales were calculated on the population before rounding. ^^ „ ,, , - . ,. „ „„,, , iro 

Forcible rape figures furnished by the slate-level Uniform Crime Reporting (UCR) Program administered by the Illinois Deparlmenl of Slate Police were not in accordance w„h national UCR 
guidelines. See Appendix I for details. 



157 



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159 



Table 18.— Offense Analysis, 1989, and Percent Change from 1988 

112,636 agencies; 1989 estimaled population 219,021.000] 



Classification 



Number of 

offenses 

1989' 



Percent 

change over 

1988= 



Percent 
distribu- 
tion* 



MURDER 

FORCIBLE RAPE 

ROBBERY: 

Total 

Street/highway 

Commercial house 

Gas or service station 

Convenience store 

Residence 

Bank 

Miscellaneous 

BURGLARY: 

Total 

Residence (dwelling): 

Night 

Day 

Unknown 

Nonresidence (store, office, etc.): 

Night 

Day 

Unknown 

LARCENY-THEFT (EXCEPT MOTOR VEHICLE THEFT): 
Total 

By type: 

Pocket-picking 

Purse-snatching 

Shoplifting 

From motor vehicles (except accessories) 

Motor vehicle accessories 

Bicycles 

From buildings 

From coin-operated machines 

All others 

By value: 

Over $200 

$50 to $200 

Under $50 

MOTOR VEHICLE THEFT 



18,648 
82,6.33 

498,578 



273.962 
58,786 
14,096 
31,382 
49,094 
6,858 
64,400 



2,669,009 



1,765,784 
548,236 
755,035 
462,513 
903,225 
437,231 
200,203 
265,791 



6,785,174 



+ 13 
+ 1.9 



-t-7,3 



-1-9.5 
-t-5.7 
-1-3.3 
-t-3.6 
-I-.8 
-1-3.0 
-1-7.9 



-3.4 
-2.9 
-3.6 
-3.9 
-1-1.8 
-1-1.6 
-H3.3 
-1-1.2 



-1-2.3 



100.0 



54.9 
11.8 
2.8 
6.3 
9.8 
1.4 
12.9 



100.0 



66.2 
20.5 
28.3 
17.3 
33.8 
16.4 
7.5 
10.0 



100.0 



67,575 


-.6 


1.0 


76,638 


-5.0 


1.1 


1,059,765 


-1-5.9 


15.6 


1,490,256 


-1-3.7 


22.0 


1,057,598 


-2.5 


15.6 


371,720 


-1.0 


5.5 


995,842 


-t-.3 


14.7 


56.102 


-7.2 


.8 


1.609,678 


-1-4.9 


23,7 


2,397,626 


-1-3.6 


35.3 


1,660,738 


-1.4 


24.5 


2,726,810 


-1-3.4 


40.2 


1,370,766 


-t-8.4 





'Data for 1989 were not available for the State of Florida 

^Excludes Florida and Kentucky. See "Offense Estimation," page 3, for details. 

'Because of rounding, the percentages may not add to total. 



Table 19, — Type and Value of Property Stolen and Recovered, 1989 

(12.636 agencies; 1989 estimated population 219,021.000) 



Type of property 



Value of property 



Stolen 



Recovered 



Total' 

Currency, notes, etc 

Jewelry and precious metals ,, 

Clothing and furs 

Locally stolen motor vehicles 

Office equipment 

Televisions, radios, stereos, etc. 

Firearms 

Household goods 

Consumable goods 

Livestock 

Miscellaneous 



$13,473,393,000 



$5,344,716,000 



773,440,000 
1,093,773,000 

290,311,000 
7,244,136,000 

243,977,000 
1,022,005,000 

112,167,000 

215,829,000 

83,479,000 

22,814,000 

2,371,462,000 



56,604,000 

60,449,000 

32,822,000 

4,870,921,000 

21,763,000 

50,596,000 

12,503,000 

14,010,000 

11,732,000 

6,059,000 

207,256,000 



'.Ml totals and percentages calculated before rounding. 
Data for 1989 were not available for the State of Florida. 



160 



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 enforce- 
ment agencies may clear a crime by exceptional means 
when some element beyond law enforcement control 
precludes the placing of formal charges against the offend- 
er. E.\amples 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 
1989. A 46-percent clearance rate for the violent crimes 
collectively was recorded. Among the violent offenses, the 
rates were 68 percent for murder, 52 percent for forcible 
rape, 26 percent for robbery, and 57 percent for aggravated 
assault. Clearances for crimes against persons (murder, 
forcible rape, and aggravated assault) are generally higher 
as more intense investigative efforts are often given these 
offenses and witnesses are frequently available to identify 
the perpetrators. 

The overall property crime clearance rate was 18 per- 
cent. Fourteen percent of the burglaries, 20 percent of the 
larceny-thefts, and 1 5 percent of both motor vehicle thefts 
and arsons were cleared during the year. When considering 
the Modified Crime Index total which includes arson, the 
overall clearance rate remained the same, 21 percent. 

Regionally, the highest total Crime Index clearance rates 
were registered in the South and West, each with 22 
percent. In both the Midwest and Northeast, the rates were 
20 percent. The South recorded the highest violent crime 
clearance rate, 50 percent. Following were the West with 



47 percent, the Midwest with 44 percent, and the North- 
east with 40 percent. Property crime clearance rates were 
19 percent in the South, 18 percent in both the West and 
Midwest, and 16 percent in the Northeast. 

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. Of the population groups, cities with 10,000 to 
24,999 inhabitants registered the highest total Crime Index 
and property crime clearance rates, 25 and 23 percent, 
respectively. The highest violent crime clearance rate was 
in the rural counties, 62 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 1 8 years of age is cited to appear in juvenile court or 
before other juvenile authorities. Since the juvenile clear- 
ance percentages shown in this publication indicate only 
those offenses where no adults were involved, they should 
be considered a slight underestimation of juvenile involve- 
ment in crime. Juveniles (persons under 18 years of age) 
accounted for 26 percent of the United States population, 
according to 1989 Bureau of the Census projected popula- 
tion figures. 

Eighteen percent of the Crime Index offenses cleared by 
law enforcement during 1989 involved only young people 
under age 18. Persons in this age group accounted for 10 
percent of the violent crime clearances and 20 percent of 
those for property crimes. Murder showed the lowest 
percentage of juvenile involvement (7 percent), while the 
highest percentage was shown for arson (39 percent). 

Geographically, the Midwestern States recorded the 
largest percentage of Crime Index offense involvement by 
the under- 18 age group — 22 percent. Juveniles alone were 
the offenders in 20 percent of the clearances in the Western 
States, 17 percent of those in the Northeastern States, and 
14 percent of those in the Southern States. 



161 



Crimes Cleared by Arrest 

1989 



e 




Crimes off 
Violence 

Not Cleared 
Cleared 



Murder Aggravated Forcible Robbery 

Assault Rape 



e 
u 

la 

eu 




Crimes Asainst 
Property 

Not Cleared 
1 Cleared 



Burglary 



Larceny - Theft 



Motor Vehicle 
Theft 



162 



Table 20. — Oflenscs Known and Percent Cleared by Arrest', Population Group, 1989 

(1989 cstimaicd populalion] 



Populaiion group 


Crime 
Index 

total 


Modified 
Crime 
Index 
total" 


Violent 
crime' 


Properly 
crime' 


Murder 
and non- 
ncghgent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 

vehicle 

theft 


Arson^ 


TOTAL ALL AGENCIES; 

12.887 agencies; 
populalion 2I5..%I.000: 

Offenses known 

Percent cleared by arrest 


12.124,462 
21,1 


12.218,646 
21.1 


1,364,705 
45,8 


10,759,757 
18.0 


18,381 
68.3 


78.743 
52,4 


479,814 
26,0 


787,767 
56.7 


2,652,808 
13,8 


6,748,923 
20.2 


1,358,026 
15.2 


94,184 
15,1 


TOTAL CITIES: 8,983 cities; 
populalion 147.426.000; 


10,072,043 
2L3 


10.146,437 

21.2 


1,166,613 
44,4 


8,905,430 
18,2 


14,749 

67.6 


61,357 

52,2 


442,195 

25,6 


648,312 

55.8 


2,076,457 
13.5 


5,652,547 
20.8 


1,176,426 
14.3 


74,394 


Percent cleared by arrest 


14.1 


Group I 

57 cilies. 250.000 and over; 
population 40.400.000; 


4,035.417 
18,7 

1.561. 1.30 
16.4 

1,221,653 
19.6 

1,252,634 
20.5 

1,401,297 
21.9 

1,365.657 
22.1 


4,070,770 
18.6 

1,577,395 
16.3 

1,230,411 
19.6 

1.262.964 
20.4 

1.412,244 
21.9 

1,375.056 
22,1 


632,114 
39,6 

319.446 
35.1 

150.709 
41.4 

161.959 
47.0 

152,462 

47.7 

134,375 
46,3 


3.403.303 
14,8 

1,241,684 
11.6 

1,070,944 
16.5 

1,090,675 
16.6 

1,248,835 
18.8 

1,231,282 
19,5 


8.970 
63.9 

4,461 
58.1 

2,547 
64.7 

1,962 
75.8 

1,888 

72,4 

1,271 
72.3 


27,635 
53,3 

9.020 

47.2 

8.974 

57.9 

9,641 

54.7 

9,247 
51.4 

8,527 
48.8 


291,515 
24.0 

159,980 

22.1 

68,013 
24.6 

63,522 
28,0 

53.762 
28.2 

42.165 
27,1 


303,994 
52,6 

145.985 
47.8 

71.175 
54.6 

86.834 
59.3 

87,565 
58,7 

82,412 
55.4 


830,512 
12,1 

287.996 
10.2 

259.202 
13.4 

283.314 
12.7 

312.015 
14,0 

289,172 
13.7 


1,921,334 
16.9 

640,082 
13.3 

637,691 
18,4 

643.561 
18.9 

792.748 
21,4 

794,463 
22.7 


651,457 
12,0 

313,606 
9.6 

174,051 
14.5 

163,800 
14.0 

144,072 
14.9 

147,647 
13.1 


35.353 


Percent cleared by arrest 

6 cities, 1.000.000 and over, 
population I6..1 15.000: 


10,4 
16.265 


Percent cleared by arrest 

18 cities, 500,000 to 999,999; 
population 12.1.^7,000: 

OfTenses known 

Percent cleared bv arrest 

33 cities. 250,000 to '499.999; 
population 1 1,948,000: 


4.7 

8.758 
17.7 

10.330 


Percent cleared by arrest 

Group II 

115 cities, 100,000 to 249,999; 
population 16,831,000: 


13.3 
10.947 


Percent cleared by arrest 

Group III 

309 cities, 50.000 to 99.999: 
population 21,218.000: 


13.2 
9,399 


Percent cleared by arrest 


16.0 



163 



Table 20. — Offenses Known and Percent Cleared by Arrest', 


Population Group, 


1989— Continued 












Populalion group 


Crime 
Index 
total 


Modified 
Crime 
Index 
tolal^ 


Violent 
crime' 


Property 
crime^ 


Murder 
and non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 

vehicle 

thefl 


Arson^ 


Group IV 


























646 cilies, 25,000 lo 49,999; 


























population 22,124,000: 


























Offenses known 


1,224.377 


1,231,622 


100,964 


1,123,413 


1,132 


6,421 


27,567 


65.844 


248,967 


771,630 


102,816 


7,245 
16.2 


Percent cleared by arrest 


22.9 


22.9 


48.6 


20.6 


71.3 


51.1 


29.0 


56.2 


13.9 


23,3 


16.5 


Group V 


























1.566 cities. 10.000 to 24,999; 


























population 24,663,000: 


























Offenses known 


1,128,607 


1,134,848 


82,948 


1,045,659 


861 


5,508 


18,143 


58,436 


221,483 


745,345 


78,831 


6,241 

22.7 


Percent cleared by arrest 


24.9 


24.9 


52.8 


22.7 


78.7 


52.1 


31.4 


59.1 


15.2 


25.0 


22.4 


Group VI 


























6,290 cities under 10,000; 


























population 22,190,000: 


























Offenses known 


916,688 


921,897 


63.750 


852.938 


627 


4,019 


9,043 


50,061 


174,308 


627,027 


51,603 


5,209 


Percent cleared by arrest 


23.7 


23.7 


61.1 


20.9 


76.1 


56.3 


33.2 


66,4 


16.4 


21.4 


29.4 


24.3 


Suburban Counties 


























1,129 agencies; 


























population 40,122,000: 


























Offenses known 


1,491,944 


1.505,999 


146,538 


1,345,406 


2,155 


1 1.625 


33.514 


99,244 


385,026 


81 1,888 


148,492 


14,055 


Percent cleared by arrest 


19.9 


19.9 


52.0 


16.4 


68.6 


51.4 


29,9 


59.2 


14.1 


17.3 


17.7 


17.6 


Rural Counties 


























2.775 agencies; 


























population 27,813.000: 


























Offenses known 


560.475 


566,210 


51.554 


508,921 


1.477 


5.761 


4,105 


40,21 1 


191,325 


284.488 


33,108 


5,735 


Percent cleared by arrest 


22.2 


22.2 


61,7 


18.2 


75.0 


55.5 


39.0 


64,4 


16.0 


17,9 


33.5 


21.9 


Suburban Area' 


























5.934 agencies; 


























population 86,223.000: 


























Offenses known 


3,580,616 


3.606,914 


301,313 


3,279,303 


3,669 


21,185 


72,858 


203,60! 


787,077 


2,164.083 


328,143 


26,298 


Percent cleared by arrest 


21.4 


21.4 


51.3 


18.7 


69.4 


51.7 


29.0 


58.9 


14.1 


20.4 


17.8 


18.0 



'Includes ofTenses cleared by exceplional means. 

^The number of agency reports used in arson clearance rates is less than used in compiling clearance rates for other Crime Index offenses. It is not necessary to report clearances by properly 
classification to be included in this table. The Modified Crime Index total is the sum of the Crime Index offenses, including arson. 

'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 

^Property crimes are offenses of burglary, larceny-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 Crime Reporting (UCR) Program administered by the Illinois Department of State Police were not in accordance with national UCR 
guidelines and were excluded from the forcible rape, violent crime. Crime Index total, and Modified Crime Index total categories. 

Data for 1989 were not available for the State of Florida. 



164 



Tible 21. — Oflenses Known and Percent Cleared by Arrest', Geographic Division, 1989 

(1989 eslimalcd populalion| 



Geographic division 


Crime 
Index 
total 


Modified 
Crime 
Index 
total- 


Violent 
crime' 


PropcrtN 
crime' 


Murder 
and non- 
ncgligeni 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 

vehicle 

theft 


Arson' 


TOTAL ALL DIVISIONS 






















• 




11,887 agencies; population 
215.J61.000: 

Offenses known 

PercenI cleared by arrast 


12,124,462 
21.1 


12,218,646 
21.1 


1,364,705 
45,8 


10,759,757 
18.0 


18,381 
68.3 


78,743 
52.4 


479,814 
26.0 


787,767 
56.7 


2,652,808 
1.3.8 


6,748,923 
20.2 


1,358,026 
15.2 


94,184 
15.1 


New England States 


























674 agencies; population 
10.896.000: 

OfTenses known 


543,338 
21.3 


546,971 
21.2 


55,190 
47.2 


488,148 
18.3 


498 
67.1 


3,125 
53.5 


18.787 
24.9 


32.780 
59.1 


118,554 
14.7 


290.438 
20.9 


79,156 
14.2 


3.633 
13.6 


Percent cleared by arrest 


Middle Atlantic States 


























2,358 agencies; population 
37,423.000: 

Offenses known 


1,914,886 
19.3 


1.931.457 
19.2 


293,825 
38.7 


1,621,061 
15.7 


3,384 
58.4 


10.486 
54.0 


142,650 
24.1 


137.305 
52.0 


366.939 
13.3 


958.007 
18.5 


296.115 
9.6 


16,571 
10.4 


Percent cleared by arrest 


Northeastern Region 


























3,032 agencies; population 
48,319.000: 

Offenses known 


2,458,224 
19.7 


2,478,428 
19.7 


349,015 
40,0 


2,109,209 
16.3 


3,882 
59.5 


13.611 
53.9 


161,437 

24.2 


170,085 

53.5 


485,493 
13.7 


1,248,445 
19.1 


375,271 
10.6 


20,204 
11.0 


PercenI cleared by arrest 


East North Central States 


























2.165 agencies; population 
34.339,000: 

OfTenses known 

Percent cleared by arrest 


1.705.352 
19.5 


I.7I9.386 
19.5 


160,555 
41.4 


1,544,797 
17.3 


2,272 
70.6 


13,136 
42.2 


53.072 
22.4 


92,075 
51.5 


351,198 
II. 1 


1,029,864 
19.4 


163,735 
16.9 


14,034 
13.4 


West North Central States 


























1,424 agencies; population 
16,355,000: 

Offenses known 


747,973 
22.4 


753.218 
22.3 


64,463 
51.9 


683,510 
19.6 


706 
80.9 


4,586 
55.4 


17,6.36 
26.3 


41,535 
61.9 


156.661 
13.4 


470.003 
21.5 


56,846 
21.2 


5,245 


Percent cleared by arrest 


15.5 


Midwestern Region 


























3,S89 agencies; population 
SO.694.000: 

Offenses known 


2,453,325 
20.4 


2,472,604 
20.4 


225,018 
44.4 


2,228,307 
18.0 


2,978 
73.0 


17.722 
45.6 


70,708 
23.3 


133,610 

54.7 


507,859 
11.8 


1,499,867 
20.1 


220.581 
18.0 


19,279 
14.0 


PercenI cleared by arrest 


South Atlantic States 


























2,025 agencies; population 
28,686,000: 

Offenses known 


1.535.613 
23.3 


1.546.046 
23.3 


179,190 
49.9 


1,356,423 
19.8 


3,179 
71.1 


10.461 

57.7 


57,470 
29.5 


108.080 
59.3 


357,318 
17.3 


872,104 
20.4 


127,001 
22.3 


10,433 


Percent cleared by arrest 


22.1 


East South Central States 


























927 agencies; population 
11.134,000: 

Offenses known 


496,027 
23.6 


499,090 
23.6 


58,384 
53.9 


437,643 
19.6 


1,073 
81.3 


4,199 
61.5 


14,913 
32.8 


38.199 
60.5 


126,882 
14.9 


269,905 
21.9 


40,856 
18.8 


3,063 


Percent cleared by arrest 


18,9 


West South Central States 


























1,383 agencies; population 
25.843,000: 

Offenses known 


1.863.954 
20.7 


1,876,954 
20.6 


168,507 
49.5 


1,595,447 
17.8 


2,995 

72.5 


11,459 
59.6 


54.252 
29.9 


99,801 
58.3 


474,692 
14.7 


1,023,680 
19.5 


197,075 
16.5 


13,000 


Percent cleared by arrest 


19.4 



165 



Table 21.— Offenses Known and Percent Cleared by Arrest', 


Geograph 


c Division 


, 1989— Continued 












Geographic division 


Crime 
Index 
total 


Modrned 
Crime 
Index 
totaP 


Violent 
crime' 


Property 
crime* 


Murder 
and non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 

vehicle 

theft 


Arson' 


Southern Region 


























4,335 agencies; population 
65,663,000: 


3.895,594 
22.1 


3,922,090 
22.0 


406,081 

50.3 


3,489,513 
18.8 


7,247 
73.2 


26,119 

59.2 


126,635 
30.1 


246,080 
59.1 


958.892 

15.7 


2,165,689 
20.1 


364,932 
18.8 


26.496 


Percent cleared by arrest 


20.4 


Mountain States 


























742 agencies; population 
12,776.000: 


795,362 
24.2 


801.077 
24.1 


60.097 
56.9 


735,265 
21.5 


710 
78.0 


4.496 
50.2 


13.090 
29.7 


41.801 
65.8 


163.653 
13.5 


514.835 
24.1 


56.777 
20.8 


5,715 


Percent cleared by arrest 


18.3 


Pacific States 


























1,189 agencies; population 
37,908,000: 

Offenses known 


2,521,957 
20.9 


2,544,447 
20.8 


324,494 
45.4 


2,197,463 
17.3 


3,564 
62.3 


16.795 
48.2 


107.944 
25.3 


196,191 
55.9 


536.911 
12.4 


1.320.087 
20.2 


340,465 
13.6 


22,490 


Percent cleared by arrest 


12.8 


Western Region 


























1,931 agencies; population 
50,685.000: 


3,317,319 
21.7 


3,345,524 
21.6 


384,591 

47.2 


2.932,728 
18.3 


4,274 
64.9 


21,291 
48.6 


121,034 
25.8 


237,992 
57.6 


700,564 
12.6 


1,834,922 

21.3 


397.242 
14.6 


28.205 


Percent cleared by arrest 


13.9 



'Includes offenses cleared by exceptional means. 

^he number of agency reports used in arson clearance rates is less than used in compiling clearance rates for other Crime Index ofTenses, It is not necessary to report clearances by properly ■ 
classiHcalion lo be included in this table. The Modified Crime Index total is the sum of the Crime Index offenses, including arson. 

^Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 

^Property crimes are offenses of burglary, larceny-lhefl. and motor vehicle theft. Data arc not included for the property crime of arson. 

Forcible rape figures furnished by the stale-level Uniform Crime Reporting (UCR) Program administered by the Illinois Department of State Police were not in accordance with national UCR 
guidelines and were excluded from the forcible rape, violent crime, Crime Index total, and ModiTied Crime Index total categories. 

Data for 1989 were not available for the Slate of Florida. 



\ 



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168 



Table 23.— Offenses Cleared by Arrest' of Persons Under 18 Years of Age, 1989 

(ISS") eslimaled populalion] 



Population group 



Crime 
Index 
lotal 



Modified 
Crime 
Index 
lolal- 



Violent 
crime^ 



Property 
en me* 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 

vehicle 

thefl 



TOTAL ALL AGENCIES 

12,747 agencies: 
populalion 203.929.000: 

Total clearances 

Percent under 18 



TOTAL CITIES: 8,960 cities; 
populalion 137.951.000: 

Total clearances 

Percent under 18 



Group I 

55 cities. 250.000 and over, 
population 32.379,000: 

Total clearances 

Percent under 18 

5 cities. 1.000.000 and over; 
population 8.945.000: 

Total clearances 

Percent under 18 

17 cities, 500,000 to 999.999; 
population 11,486,000; 

Total clearances 

Percent under 18 

33 cities, 250,000 to 499.999; 
population 11,948.000: 

Total clearances 

Percent under 18 



Group II 

109 cities. 100.000 to 249,999; 
population 15,837,000; 

Total clearances 

Percent under 18 



Group III 

305 cities. 50.000 to 99,999; 
population 20,922.000: 

Total clearances 

Percent under 18 



Group IV 

644 cities. 25,000 to 49.999; 
population 22,057,000: 

Total clearances 

Percent under 18 



2,413.520 
17.8 



2,006,241 
18.2 



2,427,323 
17.9 



2,016,431 
18.4 



558,568 
9,5 



453,813 
9.9 



1,854,952 
20,3 



1,552,428 
20.7 



11,297 
6,8 



8,802 

7,4 



38,359 
9.6 



29,605 
9.5 



101,907 
10.9 



90.615 
11.2 



407,005 
9.3 



324,791 
9,7 



345,784 
17.5 



263,312 
17.3 



1,317,454 
20.9 



1,132,982 
21.3 



191,714 
21.3 



156,1.34 
21.9 



645,785 
14.6 



160,442 
12.1 



228,602 
14.7 



256.741 
16.1 



286,221 
17,2 



297,449 
20.2 



280,006 
21.3 



649,301 
14.7 



161,207 
12.2 



229,979 
14.8 



258.115 
16.2 



287,573 
17.4 



298.920 
20.3 



281,177 
21.4 



194,854 
9.2 



59,942 
8.5 



58,919 
9.3 



75,993 
9.4 



66,012 
9.9 



61,605 
11,5 



49,004 
10.9 



450,931 
17.0 



100,500 
14.3 



169,683 
16.5 



180,748 
18.9 



220,209 
19.5 



235.844 
22.5 



231,002 
23.5 



4,736 
8.3 



1,724 
6.9 



1,524 
8.5 



1,488 
9.5 



1,215 
6,9 



902 
5.7 



802 
5.9 



12,859 
7.9 



2.927 
8.4 



4,654 
8,0 



5,278 
7.5 



4,249 
9.5 



4.099 
1 1.0 



3,276 
10.7 



48,726 
10.3 



15,122 
10.8 



15,843 
10.2 



17,761 
10.0 



13,927 
10,9 



11.295 
14.7 



7,998 
11.8 



128,533 



40,169 

7.7 



36,898 
9.1 



51,466 
9.5 



46,621 
9.7 



45,309 
10.9 



36,928 
10.9 



87,689 
13.3 



18,865 
12.4 



32,836 
12,2 



35,988 
14.9 



40,110 
15.0 



39,129 
18.0 



34,507 
20.5 



295,781 
16.5 



61,128 
13.3 



112,756 
15.8 



121,897 
18.8 



159,827 
20,1 



177,989 
23.7 



179,580 
24.5 



67,461 
23.8 



20,507 
18.9 



24,091 
26,0 



22,863 

25.7 



20,272 
23.4 



18,726 
20.4 



16.915 
19.5 



13,803 
38,6 



10,190 
41,1 



3,516 
35,9 



765 
30.7 



1,377 
37.8 



1.374 
36,9 



1,352 
43,2 



1,471 
41.7 



1,171 
46.6 



169 



Table 23. — Offenses Cleared by Arrest' of Persons Under 18 Years of Age, 1989 — Continued 



Population group 


Crime 
Index 
total 


Modified 
Crime 
Index 
total- 


Violent 
crime' 


Property 
crime' 


Murder 
and non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 

vehicle 

theft 


Arson^ 


Group V 

1,561 cities, 10,000 to 24,999; 
population 24,574,000; 
Total clearances 


279,835 
20.8 

216,945 
20,6 

285,920 
15.9 

121.359 
14.5 


281,248 
20.9 

218,212 
20.8 

288,293 
16.1 

122.599 
14.5 


43,415 
10.5 

38,923 
10.2 

73,710 
8.5 

3 1 .045 
6.2 


236.420 
22.7 

178.022 
22.9 

212,210 
18.5 

90.314 

17.3 


670 
5.7 

477 
8.0 

1.420 
5.5 

1.075 
3.6 


2.860 
11.6 

2.262 
11.2 

5,606 
9.8 

3,148 
10.1 


5,672 
11.7 

2,997 
10.8 

9,737 
8.7 

1,555 
5.1 


34,213 
10.3 

33,187 
10.1 

56.947 
8.4 

25.267 
5.9 


33,257 
21.1 

28.620 
23.2 

52.400 
17.6 

30.072 
18.9 


185,568 
23.3 

134.237 
23.3 

134,976 
18.8 

49,496 
16.0 


17,595 
19.2 

15.165 
19.1 

24,834 
19.0 

10.746 
18.8 


1,413 




44.8 


Group VI 

6,286 cities under 10,000; 
population 22,182,000; 

Total clearances 

Percent under 18 


1.267 
43.4 


Suburban Counties 

1,089 agencies; 
population 38,568.000; 


2,373 


Percent under 18 


37.7 


Rural Counties 

2,698 agencies; 
population 27.410,000; 
Total clearances 


1,240 




19.8 






Suburban Area' 

5,889 agencies; 
population 84,574.000; 


753,703 
18.7 


758.351 
18.9 


151.789 
10.0 


601.914 
20.9 


2,483 
6.2 


10,563 
10.6 


20.792 
10.5 


117,951 
99 


109,002 
19.2 


436,041 
21.6 


56.871 
18.7 


4.648 


Percent under 18 


42.8 







'Includes offenses cleared by exceptional means 

H'he number of agency reports used in arson clearance rates is less than used in compiling clearance rates for other Crime Index offenses. It is not necessary to report clearances by detailed 
property classification to be included in this table. The Modified Crime Index total is the sum of the Crime Index otTenses. including arson. 

'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 

^Property crimes are offenses of burglary, larceny-theft, and motor vehicle theft. Data are not included for the property crime of arson. 

'Includes suburban city and county law enforcement agencies within metropolitan areas. Excludes central cities. Suburban cities are also included in other city groups. 

Forcible rape figures furnished by the state-level Uniform Crime Reporting (UCR) Program administered by the Illinois Department of State Police were not in accordance with national UCR 
guidelines and were excluded from the forcible rape, violent crime. Crime Index total, and Modified Crime Index total categories. 

Data for 1989 were not available for the State of Florida. See "Ofiense Estimation", page 3 for details, 



170 



SECTION IV 
PERSONS ARRESTED 



Primarily a gauge of law enforcement's response to 
crime, arrest counts also provide definitive data concern- 
ing the age, sex, and race of perpetrators. Arrest practices, 
policies, and enforcement emphases vary from place to 
place and even within a community from time to time as, 
for example, during a local police campaign against resi- 
dential burglary. While the practices for certain unlawful 
conduct such as drunkenness, disorderly conduct, vagran- 
cy, and related violations may differ among agencies, those 
for robbery, burglary, and other serious crime arrests are 
more likely to be uniform and consistent throughout all 
jurisdictions. The Program's procedures require that an 
arrest be counted on each separate occasion a person is 
taken into custody, notified, or cited. Annual arrest figures 
do not measure the number of individuals arrested since 
one person may be arrested several times during the year 
for the same or different offenses. 

Nationwide, law enforcement agencies made an estimat- 
ed 14.3 million arrests in 1989 for all criminal infractions 
except traffic violations. The highest arrest counts among 
the specific crime categories were for driving under the 
influence, 1.7 million; larceny-theft, 1.6 million; and drug 
abuse violations, 1.4 million. 

When the arrest volume was related to the total 
United States population, the rate was 5,625 arrests per 
100,000 inhabitants. Among the city population groupings, 
those with more than 250,000 inhabitants recorded the 
highest rate, 7,792, while those with populations from 
10,000 to 24,999 recorded the lowest rate, 5.138. For 
suburban county agencies overall, the arrest rate was 4,339, 
and for rural county law enforcement, it was 3,502 per 
100,000 inhabitants. 

Regionally, the arrest rates per 100,000 population 
ranged from 5,134 in the Midwest to 6,403 in the West. 
The Northeast recorded an arrest rate of 5,332 and the 
South, 5,613. 

Due to reporting problems, only state arrest totals, by 
offense, were received for Florida. Tables showing the age, 
sex. or race of persons arrested, therefore, contain no 
Florida data. 
Arrest Trends 

The national total number of arrests for all offenses 
except traffic violations increased 7 percent in 1989 as 
compared to the 1988 volume. During the same time 
period, adult arrests rose 7 percent, while those of persons 
under 1 8 years of age showed a 2-percent increase. When 
considering only the eight Crime Index offenses, increases 
were recorded for arrests of persons of all ages, 6 percent; 
of adults, 7 percent; and of juveniles, 3 percent. Overall 
violent crime arrests were up 9 percent and property crime 
arrests, 5 percent. 



Two-year trends in total arrests for city agencies showed 
a 6-percent rise, 1989 over 1988. Suburban county arrests 
were up 10 percent and rural county arrests, 8 percent. 

Over the 5-year period beginning in 1985, total arrests 
for all offenses were up 14 percent, with adult arrests up 1 7 
percent and those of persons under 18 years of age up 2 
percent. Total Crime Index arrests increased 17 percent, 
those of adults rose 24 percent, and arrests of juveniles 
under 18 years of age were up 3 percent. During the same 
years, 1985-1989, total violent crime arrests increased 34 
percent, and property crime arrests were up 13 percent. 

For the decade, 1980-1989, arrests for all offenses were 
up 28 percent; Crime Index arrests, 19 percent; violent 
crime arrests, 35 percent; and property crime arrests, 15 
percent. 

The 1989 drug abuse violation arrest total was 20 
percent above the 1988 figure, 55 percent higher than in 
1985, and 126 percent higher than in 1980. The types of 
drugs involved in violations resulting in arrests during 
1989 are shown by geographic region in the accompanying 
table. 

Arrests for Drug Abuse Violations, 1989 



[Percent dislribution] 














United 
Stales 
total 


North- 
eastern 
States 


Mid- 
western 
States 


South- 
ern 
States 


Western 
Stales 




100,0 
32,4 

!>) 1 

6,2 

,7 

6,3 

67 6 

34.7 

23,1 

1,4 

8,4 


100,0 
36,9 

30,0 

4,7 

,8 

1,3 

63,1 

37.4 

21,9 

1,2 

2,6 


100,0 
45,6 

9.3 
10,9 

,7 
24,7 
54,4 

16,8 

28,5 

1,1 

8,0 


100,0 
29,4 

174 
6 1 
1,4 
4,5 

70,6 

29,9 

33,2 

3,1 

4,4 


100,0 




25 8 


Heroin or cocaine and their 


16 6 




5 5 


Synthetic or manufactured drugs — 
Other dangerous nonnarcotic drugs , . 


2 

3.5 

74.2 


Heroin or cocaine and their 


43 8 




14,2 


Synthetic or manufactured drugs — 
Other dangerous nonnarcotic drugs , . 


.5 
15.7 



' Because of rounding, percentages may not add lo totals, 

Age 

Five percent of all persons arrested nationally in 1989 
were under the age of 15; 15 percent were under 18; 30 
percent were under 21; and 46 percent were under 25. 
Persons in the under-25 age group accounted for 47 
percent of arrests in the cities, 42 percent of those in the 
suburban counties, and 40 percent of those in the rural 
counties. 

Age distribution figures for persons arrested for Crime 
Index offenses showed 27 percent were under the age of 18; 
42 percent, under 2 1 ; and 56 percent, under 25. The under- 
25 age group was also responsible for 46 percent of the 
violent crime arrests and 59 percent of property crime 
arrests in 1989. 



171 



Larceny-theft was the offense resulting in the most 
arrests of persons under age 18, while adults were most 
often arrested for driving under the influence. 

Sex 

Eighty-two percent of the persons arrested in the Nation 
during 1989 were males. They accounted for 79 percent of 
Index crime arrests, 89 percent of those for violent crimes, 
and 76 percent of the property crime arrests. Men were 
most often arrested for driving under the influence, which 
accounted for 13 percent of all male arrests. 

As in past years, larceny-theft was the crime for which 
females were most often arrested. This single offense 
accounted for 77 percent of arrests of women for Index 
crimes and 19 percent of all female arrests. Fifty-one 



percent of all female larceny-theft arrestees were under 25 
years of age. 

Two-year trends showed a 6-percent increase in the 
number of male arrests from 1988 to 1989 and an 8- 
percent rise in female arrests for the same period. Arrests 
of males were up 13 percent and those of females up 19 
percent for the 5-year period from 1985 to 1989. 

Race 

Race distribution figures for the total number of arrests 
in the United States during 1989 showed 67 percent of the 
arrestees were white, 31 percent were black, and the 
remainder were of other races. Whites accounted for 61 
percent of the Index crime arrests, 51 percent of the arrests 
for violent crimes, and 64 percent of those for property 
crimes. 



Table 24.— Total Estimated Arrests', United States, 1989 



TOTAL' 

Murder and nonnegligent manslaughter 

Forcible rape 

Robbery — 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 



Violent crime' 

Property crime* 

Crime Index total' 



Other assaults 

Forgery and counterfeiting 
Fraud 



14,340,900 



22,300 

39,110 

165,060 

459.000 

468.900 

1 .604,400 

228,500 

18,600 



685,500 
3,320,400 



3,005,800 



978,900 
105,400 
376,600 



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 



18,200 

176,800 

307,800 

225,200 

107,400 

104,800 

,361.700 

20,600 

74,200 

,736,200 

657,300 

822,500 

776,600 

33.800 

1,214,700 

16,000 

77,400 

159,200 



'Arrest totals based on all reporting agencies and estimates for unreported areas, 
'Because of rounding, figures may not add to totals. 

'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 
^Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 
'Includes arson. 



172 



Table 25. — .Xirests, Number and Rate, Regions, 1989 

[Ran- Number of arrests per 10().CXX1 inhabil3nis| 



OtTcnsc charged 


Linited Stales Total 

(10.503 agencies; 

population 199.947.0001 


Northeastern States 

(2.336 agencies. 

population 42.525.000) 


Midwestern States 

(2.785 agencies; 

population 48.644,000) 


Southern States 

(3.677 agencies; 

population 61.088.000) 


Western States 

( 1.705 agencies. 

population 47.690.000) 


TOTAL 


11,247,427 
5,625.2 


2.267,616 

S,.332.5 


2,497.242 
5,1.33.7 


3,429,026 
5.613.3 


3.053,543 


Rate 


6.402.8 






Murder and nonnegligeni manslaughter — 


17.975 

90 

30.544 

15,3 

133.830 

66.9 

354.735 

177,4 

356.717 

178,4 

1.254.220 

627.3 

182.810 

91,4 

14.667 

7,3 


2.938 

6,9 

6. 1 1 3 

14,4 

49,504 

116.4 

77.490 

182.2 

65.297 

153.6 

224.146 

527.1 

38.563 

90.7 

3.071 

7.2 


4.940 

10.2 

7.892 

16.2 

22.320 

45.9 

63.733 

131,0 

65.928 

135.5 

316.283 

650.2 

35.552 

73,1 

3.705 

7,6 


5.819 

9.5 

9.301 

15,2 

29.152 

47.7 

93.028 

152.3 

111.114 

181.9 

366.130 

599.4 

44,672 

73.1 

4.104 

6,7 


4.278 
9.0 




7.238 


Rale 


15.2 




32.854 


Rate 


68.9 




120.484 




252.6 




114.378 


Rate 


239.8 




347.661 


Rate 


729.0 




64.023 


Rale 


134.2 




3.787 




7,9 








537.084 

268,6 

1.808.414 

904,4 


136.045 
319,9 

331.077 
778,6 


98.885 

203,3 

421.468 

866.4 


137.300 
224.8 

526.020 
861.1 


164.854 




345.7 




529.849 




1.111.0 






Crime Index lotaP 


2.345.498 
1.173 1 


467.122 
1.098 5 


520.353 
1.069,7 


663.320 
1.085,8 


694.703 


Rale 


1,456.7 








771.794 

3860 

80.979 

40,5 

289.996 

145,0 

13,034 

6,5 

141.763 

70 9 

247.802 

123.9 

180.670 

90.4 

88.536 

44,3 

83.487 

41,8 

1.075.728 

538,0 

17.166 

8,6 

58.525 

29,3 

1.333.327 

666,8 

502.798 

251,5 

668.252 

334,2 

646.097 

323,1 

29.585 

14,8 

2.477.026 

1.238,8 

13.868 

6,9 

65.092 

32.6 

130.272 

65,2 


140.941 

331.4 

11.798 

27.7 

43.841 

103,1 

931 

2,2 

41.125 
96.7 

64.537 
151.8 

29.060 
68,3 

20.190 
47.5 

13.007 

30,6 

272.194 

640 1 

5.740 

13,5 

15.851 

37.3 

188.304 

442.8 

69.818 

164.2 

23.019 

54.1 

204.356 

480.6 

8.033 

18.9 

616.895 

1.450.7 

1.392 

3,3 

13.753 

32.3 

17.101 

402 


204.528 

420.5 

15.330 

31.5 

42.429 

87,2 

1.618 

3,3 

29.086 
59.8 

72.354 
148,7 

44.710 
91,9 

19.577 
40.2 

19.407 

39.9 

154.841 

318.3 

3.803 

7.8 

14.946 

30.7 

271.421 

558.0 

191.933 

394.6 

58,422 

120.1 

208.513 

428.6 

2.164 

4.4 

561.935 

1.155.2 

1.879 

3.9 

23.658 

48.6 

36.214 

74,4 


246.224 

403.1 

35.649 

58.4 

180.879 

296,1 

7.476 

12.2 

30.381 

49.7 
53.537 

87.6 
60.492 

99.0 
16.326 

26.7 

21.286 

34.8 

275.365 

450.8 

4.325 

7,1 

20.432 

33.4 

373.490 

611.4 

105.775 

173.2 

399.901 

654.6 

163.121 

267.0 

2.609 

4.3 

715.331 

1.171.0 

10.235 

16.8 

6.998 

11.5 

46.109 

75 5 


180.101 


Rale 


377.6 




18.202 


Rale 


38.2 




22.847 




47.9 




3.009 


Rate . ... 


6.3 




41.171 




86.3 




57.374 




120,3 




46.408 




97.3 


Prostitution and commercialized vice 


32.443 
68.0 


Sex olTenses (except forcible rape and 


29.787 




62.5 




373.328 


Rate 


782.8 




3.298 


Rate 


6.9 


Offenses against family and children 


7.296 

15.3 




500.112 




1,048.7 




135,272 


Rate 


283,6 


Drunkenness 


186.910 




391.9 


Disorderly conduct 


70.107 


Rate 


I47..0 




16.779 


Rate 


35.2 




582.865 




1.222.2 


Suspicion (not included in totals) 


362 




.8 


Curfew and loitering law violations 


20.683 
43.4 




30.848 


Rate 


64.7 







'Violent crimes are ofTenses of murder, forcible rape, robbery, and aggravated assault. 
^Property crimes are offenses of burglary, larceny-lheft. motor vehicle theft, and arson. 
^Includes arson. Population figures were rounded to the nearest thousand. All rates were calculated before rounding. 



173 



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175 



Table 27— Total Arrest Trends, 1980-1989 

15.928 agencies; 1989 estimated population 154,264,000) 











Numbe 


r of persons arrested 








Offense charged 


Total all ages 


Under 18 years o 


age 


18 years of age and 


over 


1980 


1989 


Percent 
change 


1980 


1989 


Percent 
change 


1980 


1989 


Percent 
change 


TOTAL 


6,652,448 


8,495,179 


+27,7 


1,409,194 


1,316,966 


-6,5 


5,243,254 


7,178.213 


+36.9, 






Murder and nonnegligenl manslaughter 


12,736 

20,132 

102,821 

180,383 

334,812 

769,395 

96,186 

12,887 


14,110 
23,606 
110,952 
278,952 
278,420 
957,608 
143,907 
11,441 


+ 10.8 
+ 17.3 
+7.9 
+54.6 
-16.8 
+24.5 
+49.6 
-11.2 


1.189 

2,915 

31,599 

26,914 

149,804 

292,086 

42,489 

5,757 


1,733 

3,580 

24,917 

35.987 

86.114 

276,534 

58,718 

4,967 


+45.8 
+22.8 
-21.1 
+33.7 
-42.5 
-5.3 
+38.2 
-13.7 


11.547 

17.217 

71,222 

153,469 

185,008 

477,309 

53,697 

7,130 


12,377 

20,026 

86,035 

242,965 

192,306 

681,074 

85,189 

6,474 


1 

+7.2 
+ 16.3 




+20.8 




+58.3 




+3.9 




+42.7 




+58.6 




-9.2 








316,072 
1.213,280 


427,620 
1,391,376 


+ 35.3 
+ 14.7 


62,617 
490,136 


66,217 
426,333 


+5.7 
-13.0 


253,455 
723.144 


361,403 
965,043 


+42.6 




+33.5 








1,529,352 


1,818,996 


+ 18.9 


552,753 


492,550 


-10.9 


976,599 


1,326,446 


+35.8 








315,338 
51,764 

188,150 

5,997 

86,992 

166,387 

106,157 

57,282 

44,746 

377,175 

29,990 

32,565 

899,260 

288,937 

757,187 

408,249 

21,930 

1,146,070 

9,220 

48,406 

90,514 


552,711 
62,651 
227,283 
10,833 
116,934 
186,955 
132,556 

68,563 

63,583 

852,105 

12,912 

38,585 

998,103 

379,698 

513,479 

464,540 

22,669 

1,823,378 

8,119 

51,612 

97,033 


+75.3 
+21.0 
+20.8 
+80.6 
+34.4 
+ 12.4 
+24.9 

+ 19.7 

+42.1 
+ 125.9 
-56.9 
+ 18.5 
+ 11.0 

+31.4 

-32.2 

+ 13.8 

+ 3.4 

+59.1 

-11.9 

+6.6 

+7.2 


56,125 

6,717 

5,827 

747 

26,569 

82,250 

17,850 

2,122 

8,223 

71,539 

926 

1,149 
20,269 

96,573 

30,199 

75,187 

3,066 

212.183 

1.912 

48,406 

90,514 


81,526 

4,710 

8,329 

915 

28,989 

74,265 

23,951 

887 

10,497 

69,498 

557 

1,505 

11,303 

86,224 
12,770 
71,740 

1,610 
186,495 

1,227 
51,612 
97,033 


+45.3 
-29.9 
+42.9 
+22.5 
+9.1 
-9.7 
+34.2 

-58.2 

+27.7 
-2.9 
-39.8 
+31.0 
-44.2 

-10.7 

-57.7 

-4.6 

-47.5 

-12.1 

-35.8 

+6.6 

+7.2 


259,213 
45.047 

182,.323 

5,250 

60,423 

84,137 

88,.307 

55,160 

.36,523 

305,636 

29,064 

31,416 

878,991 

192,364 
726,988 
333,062 
18,864 
933,887 
7,308 


471,185 
57,941 

218,954 

9,918 

87,945 

112,690 

108,605 

67,676 

53,086 

782,607 

12,355 

37,080 

986.800 

293,474 

500,709 

392,800 

2 1 ,059 

1,636,883 

6,892 


+81.8 




+28.6 




+20.1 




+88.9 


Stolen properly; buying, receiving, possessing 


+45.5 
+33.9 




+23.0 




+22.7 


Sex offenses (except forcible rape and 


+45.3 




+ 156.1 




-57.5 




+ 18.0 




+ 12.3 




+52.6 




-31.1 




+ 17.9 




+ 11.6 




+75.3 




-5.7 























'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. 



176 



Table 28.— Total Arrest Trends. Sex. 1980-1989 

[S.-J^S agencies; WS") cslimalcil population 1 54.:f>4.(K)01 



Offense charged 



Males 



Tolal 



1480 



I^S*) 



Percent 
change 



L'nder 18 



1980 



1989 



Percent 
change 



Feinales 



Total 



1980 



1989 



Percent 
change 



Under 18 



1980 



1989 



Percent 
change 



TOTAL 

Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglar> 

Larceny-thefl 

Motor vehicle theft 

Arson 

Violent crime' 

Properly crime^ 



Crime Index total' 



Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property: buying, receiving. 

IX)ssessing 

Vandalism 

Weapons; carr\-ing, 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 

Ail other offenses (except traffic) 

Suspicion (not included in totals) — 
Curfew and loitering law violations . 
Runaways 



5.608.028 



6.950,843 



+23.9 



1,123,067 



1,027,567 



-8.5 



1,044.420 



1.544.3.36 



+47.9 



286.127 



289,399 



11,148 

19.966 

95,427 

158.131 

313.108 

542,147 

87.859 

11,337 



284,672 
954.451 



1,239.123 



271.329 

35.701 

110.133 

4,308 

77,936 
151.996 
98,828 

18,916 

41.879 

326.050 

26,913 

29,182 

811,636 

244.801 

698.853 

346,652 

19.216 

979,416 

7.995 

37.349 

37,811 



12,434 
23.352 
101.385 
242,399 
252,673 
660,274 
129,483 
9.853 



+ 11.5 
+ 17.0 
+6.2 
+53.3 
-19.3 
+21.8 
+47.4 
-13.1 



1.093 

2.857 

29,328 

22,970 

139,979 

214,980 

38,132 

5,169 



1,619 

3,514 

22,812 

.30,852 

79,020 

201.295 

52,770 

4,475 



+48.1 
+23.0 
-22.2 
+34.3 
-43.5 
-6.4 
+38.4 
-13.4 



1,588 

166 

7,394 

22,252 

21,704 

227.248 

8,327 

1,550 



1,676 

254 

9,567 

36,553 

25,747 

297,334 

14,424 

1,588 



+ 5.5 
+ 53.0 
+29.4 
+64.3 
+ 18.6 
+30.8 
+73.2 

+2,5 



96 

58 

2.271 

3,944 

9,825 

77,106 

4,357 

588 



114 

65 

2,105 

5,135 

7,094 

75.239 

5.948 

492 



379.570 
1.052,283 



+33,3 
+ 10,3 



56.248 
398.260 



58,797 
337,560 



+4.5 
-15.2 



31,400 
258,829 



48,050 
339,093 



+53.0 
+31.0 



6,369 
91,876 



7,420 
88.773 



1.431.853 



-15.6 



454,508 



396,357 



-12.8 



290,229 



387,143 



+33.4 



98,245 



96,193 



465,552 

41,475 

124,713 

6,581 

103,302 
166,520 

122,471 

21,274 

58,729 

710,802 

10,831 

31,878 

877,297 

307,400 

463,305 

374,538 

19,924 

,531,171 

6,781 

38,649 

42,578 



+71.6 
+ 16.2 
+ 13.2 
+52.8 

+32.5 
+9,6 

+23.9 

+ 12.5 

+40.2 
+ 118.0 

-59,8 
+9.2 
+8.1 

+25.6 

-33,7 

+8,0 

+3,7 

+56.3 

-15.2 

+3.5 

+ 12.6 



44,268 
4.706 

4,225 
557 

24,260 
75,676 
16,854 

687 

7,668 

59,570 

874 

749 

18,082 

74.361 
26,072 
61,153 
2,630 
171,007 
1,560 
37,349 
37,811 



62,940 
3,233 
5,950 

477 

26,421 
67,666 
22,396 

361 

9,737 

61,346 

537 

957 

9,773 

61,972 

10,542 

57,229 

1,386 

147,060 

968 

38,649 

42,578 



+42.2 
-31.3 
+40,8 
-14.4 

+8.9 
-10.6 
+32,9 

-47.5 

+27.0 
+3.0 
-38.6 
+27.8 
-46.0 

-16.7 
-59.6 

-6.4 
-47.3 
-14.0 
-37.9 

+3.5 
+ 12.6 



44,009 

16,063 

78,017 

1,689 

9,056 
14,391 
7.329 

38,366 

2,867 

51,125 

3,077 

3.383 

87,624 

44,136 

58,334 

61,597 

2,714 

166,654 

1,225 

11,057 

52,703 



87,159 

21,176 

102,570 

4,252 

13,632 
20,435 
10,085 

47,289 

4,854 

141,303 

2,081 

6,707 

120,806 

72,298 

50,174 

90,002 

2,745 

292,207 

1,338 

12,963 

54,455 



+98.0 

+31.8 

+31.5 

+ 151.7 

+50.5 
+42.0 

+37.6 

+23.3 

+69.3 
+ 176.4 
-32.4 
+98.3 
+37.9 

+63.8 

-14.0 

+46.1 

+ 1.1 

+75.3 
+9,2 

+ 17,2 
+3.3 



11,857 

2,011 

1,602 

190 

2,309 

6,574 

996 

1,435 

555 

11.969 

52 

400 

2,187 

22,212 

4,127 

14,034 

436 

41,176 

352 

11,057 

52,703 



18,586 

1,477 

2.379 

438 

2,568 
6,599 

1,555 

526 

760 

8.152 

20 

548 
1.530 

24,252 
2,228 
14,511 

224 
39.435 

259 
12,963 
54,455 



+ 1.1 



+ 18.8 
+ 13.8 

-7,3 
+30,2 
-27.8 

-2.4 
+36.5 
-16.3 



+ 16.5 
-3.4 



-2.1 



+56.8 

-26.6 

+48.5 

+ 130.5 

+ 11.2 

+.4 
+56.1 

-63.3 

+36.9 
-31.9 
-61,5 
+37.0 
-30.0 

+9.2 
-46.0 

+3,4 
-48.6 

-4,2 
-26.4 

+ 17.2 
+ 3.3 



'Violent crimes are ofTenses of murder, forcible rape, robbery, and aggravated assault. 
'Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 
'Includes arson. 



177 



Table 29.— Total Arrest Trends, 1985-1989 

(8.824 agencies; 1989 estimated population 183,035.000] 



Offense charged 



Number of persons arrested 



Total all ages 



1985 



1989 



Percent 
change 



Under 18 years of age 



1985 



1989 



Percent 
change 



1 8 years of age and over 



1985 



1989 



Percent 
change 



TOTAL 

Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny — theft 

Motor vehicle theft 

Arson 

Violent crime' 

Property crime' 

Crime Index total' 

Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, possessing 

Vandalism 

Weapons; carrying, possessing, etc 

Prostitution and commercialized vice 

Sex offenses (except forcible rape and 

prostitution) 

Drug abuse violations 

Gambling 

Offenses against family and children 

Driving under the influence 

Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) 

Suspicion (not included in totals) 

Curfew and loitering law violations 

Runaways 



9,144.442 



14.636 

28,281 

110.335 

220.362 

3.30.664 

1,046.008 

105.256 

14,604 



373.614 
1,496.532 



1.870.146 



522,161 
64,054 

236,609 

8,543 

97,251 

208,719 

145.146 

105,442 



10,440.569 



1 7.044 

28.325 

126,252 

327,827 

332,238 

1,174.393 

174.401 

13.609 



499.448 
1.694,641 



2,194,089 



726,041 
74,015 
261,075 
12,036 
128.338 
230,306 
168,459 

85,710 



77,889 


78,108 


639.530 


993,881 


29.628 


16,025 


39,925 


52,773 


1,290,488 


1,221,121 


408,543 


466,140 


753,790 


631,978 


565,927 


592,486 


27,382 


27,976 


1,865,263 


2,295,835 


10,464 


13,018 


65.804 


61,827 


122,202 


122,350 



+ 14.2 



1.592.418 



1.629,826 



+2.3 



7,552.024 



8,810,743 



+ 16.5 

+.2 

+ 14.4 

+48.8 

+.5 

+ 12.3 

+65.7 

-6.8 



1.248 

4.366 

29.088 

31.178 

126.876 

344.266 

39.924 

6.142 



2,086 

4,376 

29,496 

43.751 

105,937 

338,001 

71.196 

5.956 



+67.1 
+.2 

+ 1.4 
+40.3 
-16.5 

-1.8 
+ 78.3 

-3,0 



13.388 

23,915 

81,247 

189,184 

203,788 

701,742 

65,332 

S.462 



14.958 

23.949 

96,756 

284.076 

226,301 

836,392 

103,205 

7.653 



+33.7 
+ 13.2 



65.880 
517.208 



79.709 
521.090 



+21.0 



307.734 
979.324 



419.739 
1.173,551 



+ 17.3 



583.088 



600.799 



+3.0 



1.287.058 



1.593.290 



+39.0 
+ 15.6 
+ 10.3 
+40.9 
+32.0 
+ 10.3 
+ 16.1 

-18.7 

+.3 

+55.4 

-45.9 

+32.2 

-5.4 

+ 14.1 

-16.2 

+4.7 

+2.2 

+23.1 

+24.4 

-6.0 

+.1 



80,191 


106,160 


6,799 


5,792 


17,265 


9.040 


606 


975 


24,931 


31.995 


92,193 


90.759 


24,627 


29,748 



2.531 

13,557 

74.673 

9.38 

2.208 

17.642 

103.492 

21,801 

82.367 

2.451 

253.052 

2.426 

65.804 

122.202 



1.261 

12.734 

83.997 

866 

2.058 

14.214 

107.455 

16.474 

92.165 

2.158 

236.999 

2.170 

61,827 

122,350 



+32.4 
-14.8 
-47.6 
+60.9 
+28.3 
-1.6 
+20.8 

-50,2 

-6.1 

+ 12.5 

-7.7 

-6.8 

-19.4 

+3.8 
-24.4 
+ 11.9 
-12.0 

-6.3 
-10.6 

-6.0 
+ .1 



441.970 
57.255 

219.344 

7.937 

72,320 

116,526 

120,519 

102,911 

64,332 

564,857 

28,690 

37,717 

1,272,846 

305,051 

731,989 

483,560 

24,931 

1,612,211 

8.038 



619.881 
68.223 

252.035 
11.061 
96.343 

139.547 

138,711 

84.449 

65,374 

909.884 

1 5. 1 59 

50.715 

1.206,907 

358,685 

615,504 

500,32 1 

25.818 

2.058.836 

10,848 



+16.7 



+ li.7 
+.1 
+ 19.1 
+50.2 
+ 11.0 
+ 19.2 
+58.0 
-9.6 



+36.4 I 
+ 19.81 



+23.8 ' 



+40.3 
+ 19.2 
+ 14.9 
+39.4 
+33.2 
+ 19.8 
+ 15.1 

-17.9 

+ 1.6 
+61.1 
-47.2 
+34.5 

-5.2 

+ 17.6 
-15.9 
+3.5 
+3.6 
+27.7 
+35.0 



'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. 



178 



Table 30.— Total Arrest trends. Sex, 1985-1989 
18.824 agencies; 1989 eslimalcd pofulalion 18.1,035.000) 



OtTensc charged 



Male 



Total 



1985 



1989 



Percent 
change 



Under 18 



1985 



1989 



Percent 
change 



Females 



Total 



1985 



1989 



Percent 
change 



Under 18 



1985 



1989 



Percent 
change 



TOTAL 



Murder and nonncgligent manslaughter 

Forcible rape 

Robber\ 

AggraNaied assault 

Burglar>' 

Larceny — theft 

Motor vehicle theft 

.\rson 

Violent crime' 

Property crime^ 

Crime Index total' 

Other assaults 

Forger\ and counterfeiting 

Fraud 

Embezzlement 

Stolen properly; buying, receiving. 

possessing 

Vandalism 

Weapons; carrying, possessing, etc. 

Prostitution and commercialized vice . 
Sex olTenses (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 



7,555.755 



8.548.022 



+ 1.1.1 



.241.210 



1,272,476 



+2.5 



1,588,687 



,892,547 



+ 19.1 



.151,208 



357,.150 



12,854 

27.96.1 

101.871 

190.83.1 

305.408 

725.003 

95.460 

12,677 



15,029 
27,989 
115,396 
284,108 
302.786 
816.140 
156.574 
11.774 



+ 16.9 

+.1 

+ 13.3 

+48,9 

-.9 

+ 12.6 

+64,0 

-7.1 



1,137 

4,279 

27.092 

26,471 

117,778 

251,416 

35,501 

5,561 



1,954 

4,279 

26,989 

37,355 

97,467 

247,215 

63.935 

5.380 



+ ■'1.9 

-,4 
+41.1 
-17,2 

-1.7 
+80.1 

-3.3 



1,782 

318 

8,464 

29.529 

25,256 

321,005 

9.796 

1.927 



2.015 

3.16 

10.856 

43.719 

29.452 

358.253 

17,827 

1,835 



+ 13,1 
+5,7 
+28,3 
+48,1 
+ 16,6 
+ 11,6 
+82,0 
-4,8 



111 

87 

1,996 

4.707 

9,098 

92.850 

4.423 

581 



132 

97 

2,507 

6,396 

8.470 

90,786 

7.261 

576 



333.521 
1.138.548 



442.522 
1,287.274 



+32.7 
+ 13.1 



58,979 
410,256 



70,577 
413,997 



+ 19,7 
+,9 



40,093 
357,984 



56,926 
407.367 



+42.0 
+ 13.8 



6,901 
106.952 



9,132 
107,093 



1,472,069 



1,729,796 



H7.5 



469,235 



484,574 



398,077 



464,293 



+ 16.6 



113,853 



116,225 



443.010 

42.938 

137,376 

5.461 

85.851 
187.995 
134,115 

31,136 

72.102 

551,754 

25.552 

34.253 

1.140,992 

341.674 

687.918 

461.432 

24,161 

1,574,330 

8.923 

49.485 

52.151 



612.165 
48.889 
142.863 

7,292 

113,203 
204,859 
155.448 

26.339 

72.220 

831.358 

13.627 

43.129 

1,071,812 

378.358 

570.498 

482.723 

24,306 

1.919.489 

10.949 

45.895 

53.753 



+38.2 

+ 13.9 

+4.0 

+33.5 

+31.9 

+9.0 

+ 15.9 

-15.4 



+50.7 

-46.7 

+25.9 

-6.1 

+ 10.7 

-17.1 

+4.6 

+.6 

+21,9 

+22,7 

-7.3 

+3.1 



61,835 

4,732 

13,428 

423 

22,666 
84,495 
22,988 

756 

12,490 

63,852 

900 

1,396 

15,262 

75.974 
18,277 
67,119 

1,999 
201,747 

1,888 
49,485 
52.151 



81.892 

3.973 

6.389 

514 

29.075 
82.674 
27.822 

502 

11.839 

74.369 

830 

1,297 

12,235 

77,597 
13,738 
74,009 

1,835 
187.664 

1,728 
45,895 
53,753 



+32.4 
-16.0 
-52.4 
+21.5 

+28,3 

—2.2 

+21.0 

-33.6 

-5.2 

+ 16.5 

-7.8 

-7.1 

-19.8 

+2.1 
-24.8 
+ 10.3 
-8.2 
-7.0 
-8.5 
-7.3 
+3.1 



79.151 

21.116 

99.233 

3,082 

11.400 
20.724 
11.031 

74.306 

5.787 

87,776 

4,076 

5.672 

149,496 

66,869 

65,872 

104,495 

3,221 

290.933 

1.541 

16,319 

70,051 



113.876 

25.126 

118.212 

4,744 

15,135 

25,447 
13,011 

59,371 



162.523 
2.398 
9.644 

149,309 

87,782 

61,480 

109,763 

3,670 

376,346 

2.069 

15.932 

68.597 



+43.9 
+ 19.0 
+ 19.1 
+53.9 

+32.8 
+22.8 
+ 17.9 

-20.1 

+ 1.7 

+85.2 

-41.2 

+70.0 

-.1 

+31.3 

-6.7 

+5.0 

+ 13.9 

+29.4 

+34.3 

-2,4 

-2.1 



18,356 

2.067 

3.837 

183 

2.265 
7,698 
1.639 

1.775 

1.067 

10.821 

38 

812 

2.380 

27,518 
3,524 
15.248 

452 
51,305 

538 
16.319 
70.051 



24.268 

1.819 

2.651 

461 

2.920 
8,085 
1,926 

759 

895 

9,628 

36 

761 
1,979 

29,858 

2,736 

18,156 

323 
49,335 

442 
15,932 
68,597 



+ 1,7 



+ 18,9 

+ 11,5 

+25.6 

+35,9 

-6,9 

-2.2 

+64.2 

-.9 



+32,3 
+.1 



+2,1 



+32,2 

-12,0 

-30,9 

+ 151,9 

+28,9 

+5.0 

+ 17.5 

-57,2 

-16,1 

-11,0 

-5.3 

-6.3 

-16.8 

+8,5 
-22.4 
+ 19,1 
-28,5 

-3.8 
-17.8 

-2.4 

-2.1 



'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault, 
^Properly crimes are offenses of burglary, larceny-theft, motor \ehicle theft, and arson, 
'Includes arson. 



179 



Table 31.— Total Arrest Trends, 1988-1989 

[8.978 agencies; 1989 estimated population 180.712,000] 













Nu 


mber of persons arrested 










Offense charged 


Total all ages 


Under 


15 years 


jf age 


Under 


18 years of 


age 


18 years of age an< 


over 




1988 


1989 


Percent 
change 


1988 


1989 


Percent 
change 


1988 


1989 


Percent 
change 


1988 


1989 


Percent 
change 


TOTAL 


9,670,140 


10,303,966 


+6.6 


507,106 


54.3,261 


+7,1 


1,574,162 


1,611,664 


+2.4 


8,095,978 


8,692,302 


+7.4 






Murder and nonnegligenl 


16.034 

27,877 

112,897 

296,513 

319,748 

1,111,832 

153,197 

13,972 


16,841 

28,121 

124.515 

324.411 

3.30,415 

1,158,997 

170.279 

13.463 


+5.0 
+.9 

+ 10.3 
+9.4 
+3.3 
+4.2 

+ 11.2 
-3.6 


204 

I..363 

6,614 

11,123 

40,847 

145,655 

15,891 

3,927 


277 

1,574 

8,482 

13,033 

41,975 

152,040 

19,068 

4,061 


+35.8 

+ 15.5 

+28.2 

+ 17.2 

+2.8 

+4.4 

+20.0 

+3.4 


1.770 

4.081 

24.718 

37.760 

106.625 

334.195 

61.451 

5,932 


2,086 

4.326 

29.234 

43..308 

105.513 

334.486 

69.542 

5.896 


+ 17.9 

+6.0 

+ 18.3 

+ 14.7 

-1.0 

+.1 

+ 13.2 

-.6 


14.264 

23.796 

88.179 

258.753 

213.123 

777.637 

91,746 

8,040 


14.755 

23.795 

95.281 

281.103 

224.902 

824.511 

100.737 

7,567 


+3.4 




(1) 




+8.1 




+8.6 




+5.5 




+6.0 




+9.8 




-5.9 








453,321 
1,598,749 


493,888 
1,673,154 


+8.9 

+4.7 


19,304 
206,320 


23,366 
217.144 


+21.0 

+5.2 


68,329 
508,203 


78.954 
515.437 


+ 15.5 
+ 1.4 


384,992 
1,090,546 


414,934 

1,157.717 


+7.8 




+6.2 






Crime Index total^ 


2,052,070 


2,167,042 


+ 5.6 


225,624 


240.510 


+6.6 


576,532 


594.391 


+3.1 


1,475,538 


1.572.651 


+6.6 




654,790 
69,251 

237,899 
10,514 

118,468 
214,169 
157,864 

79,980 

75,343 

821,274 

17,809 

45,370 
1,186,832 

450,309 

589,860 

548,676 

27,048 

2.130.644 

10.479 

65.508 

116,462 


713,397 
72,042 

257,618 
11,687 

128,202 
226,228 
167,429 

82,798 

76,547 

986,349 

15,892 

52,090 
1,202,354 

465,702 

601,696 

585,641 

27,071 

2,284,208 

9,585 

61,928 

118,045 


+9.0 

+4.0 

+8.3 

+ 11.2 

+8.2 
+5.6 
+6.1 

+3.5 

+ 1.6 
+20.1 
-10.8 

+ 14.8 
+ 1.3 

+3.4 
+2.0 
+6.7 
+.1 
+7.2 
-8.5 
-5.5 
+ 1.4 


34,946 

916 

4,686 

102 

7,555 

41,980 

6,864 

162 

6,147 

9,849 

128 

619 
332 

8,206 

1,856 

24,550 

621 

66,105 

674 

18,364 

47,494 


41.320 
822 

2,777 
121 

8,777 

45.210 

7,757 

130 

6,290 

11,489 

146 

560 
315 

8,955 

1,819 

27,384 

662 

69,415 

562 

18,385 

50,417 


+ 18.2 
-10.3 

-40.7 
+ 18.6 

+ 16.2 

+7.7 
+ 13.0 

-19.8 

+2.3 
+ 16.7 
+ 14.1 

-9.5 
-5.1 

+9.1 
-2.0 

+ 11.5 
+6.6 
+ 5.0 

-16.6 

+.1 

+6.2 


93,842 

5,876 

11,797 

869 

29,507 
86,216 
26,390 

1,460 

12,268 

75,116 

760 

1,894 
16,006 

115,340 

17,161 

84,934 

2,312 

233,912 

2,020 

65,508 

116,462 


105,667 
5,584 
8,960 
1,059 

31,873 
90,206 
29,627 

1,199 

12,528 

82,944 

829 

1,837 
13.911 

107.943 

15.853 

91.004 

2.144 

234.132 

1.562 

61.928 

118.045 


+ 12.6 

-5.0 

-24.0 

+21.9 

+8.0 

+4.6 

+ 12.3 

-17.9 

+2.1 

+ 10.4 

+9.1 

-3.0 
-13.1 

-6.4 
-7.6 
+7.1 
-7,3 
+.1 
-22.7 
-5.5 
+ 1.4 


560,948 

63,375 

226,102 

9,645 

88,961 
127,953 
131,474 

78,520 

63.075 

746.158 

1 7.049 

43,476 
1,170,826 

334,969 

572,699 

463,742 

24,7.36 

1.896.732 

8.459 


607.730 
66,458 

248,658 
10,628 

96,329 
136,022 
137,802 

81,599 

64,019 

903,405 

15,063 

50,253 
1,188,443 

357,759 

585,843 

494.637 

24,927 

2,050,076 

8.023 


+8.3 


Forgery and counterfeiting 


+4.9 




+ 10.0 




+ 10.2 


Stolen property; buying, receiving. 


+8.3 


Vandalism 


+6.3 


Weapons; carrying, possessing, etc. , 
Prostilution and commercialized 


+4.8 
+3.9 


Sex offenses (except forcible rape 


+ 1.5 




+21.1 




-11.6 


Offenses against family and 


+ 15.6 




+ 1.5 




+6.8 


Drunkenness 


+2.3 
+6.7 




+.8 


All other offenses (except irafTic) . . , 
Suspicion (not included in totals) ... 
Curfew and loitering law violations . 


+8.1 
-5.2 

















'Less than one-lenth of I percent 

^Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 
'Properly crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 
'Includes arson. 



180 



Table 32.— Tolal Arrest Trends. Sex, 1988-1989 

(S.'f^S agi-ncies: \Wi csiimatcd populalion 180,712.0001 



OITcnse charged 



Males 



Total 



\WS 



1989 



Percent 
change 



Under 18 



1988 



1989 



Percent 
change 



Females 



Total 



1988 



Percent 
change 



Under 18 



1988 



1989 



Percent 
change 



TOTAL 

Murder and nonncgligent 

manslaughter 

Forcible rape 

Rohber>- 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 

Violent crime' 

Property crime^ 

Crime Index lotaP 

Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving. 

possessing 

Vandalism 

Weapons; carrying, possessing, etc. 

Prostitution and commercialized 
vice 

Sex olTenses (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 
Runawavs 



7,950,354 



8,440,759 



+6.2 



1,2.11,4.19 



1,260,12.1 



+2..1 



1,719,786 



1,863,207 



+8.3 



342,773 



351,541 



14.088 
27,540 
10.1, .18 1 
256,648 
292,797 
774,266 
1 .18,044 
12.1.14 



14,852 
27.796 
1 1 .1,83.1 
281.196 
301,083 
807.350 
152,777 
11,637 



+ 5.4 
+ .9 

+ 10.1 
+9.6 
+2.8 
+4.3 

+ 10.7 
-4.1 



1,653 

4,000 

22,873 

31.979 

98,655 

246,330 

55,276 

5,382 



1,955 

4,229 

26,762 

36,948 

97,063 

245.167 

62,373 

5,315 



+ 18.3 
+5.7 

+ 17.0 

+ 15,5 

-1,6 

-.5 

+ 12.8 
-1.2 



1,946 

337 

9,516 

39,865 

26,951 

337,566 

15,153 

1,838 



1,989 

325 
10,682 
43,215 
29,332 
35 1 ,647 
17,502 
1,826 



+2.2 
-3,6 

+ 12,3 
+8.4 
+8.8 
+4.2 

+ 15.5 
-.7 



117 

81 

1,845 

5,781 

7,970 

87.865 

6,175 

550 



131 

97 

2,472 

6,360 

8,450 

89,319 

7,169 

581 



401,657 

1,217,241 



437,677 
1,272,847 



+9.0 
+4.6 



60,505 
405,643 



69,894 
409,918 



+ 15.5 
+ 1.1 



51,664 
381.508 



56,211 
400.307 



+8.8 
+4.9 



7,824 
102,560 



9,060 
105,519 



1,618.898 



1,710,524 



+ 5.7 



466,148 



479,812 



+2.9 



433,172 



456.518 



110.384 



114,579 



555,328 

45.800 

131,845 

6,503 

104,621 
191,052 
145,659 



26,317 

69,780 

694,729 

15,062 

37,241 
1,044,658 

367,758 

535.277 

446,788 

23.843 

1.788.764 

8,869 

48,880 

51,551 



601,494 

47,584 

140,787 

7,029 

1 1 3,096 
201,279 
154,504 



25,483 

70.737 

825.247 

13,455 

42,724 
1,054,789 

377,973 

543.426 

477,016 

24,008 

1,911,497 

8,049 

46,040 

52,067 



+8.3 
+3.9 
+6.8 
+8.1 

+8.1 
+5.4 
+6.1 



-3.2 

+ 1.4 
+ 18.8 
-10.7 

+ 14.7 
+ 1.0 

+2.8 
+ 1.5 
+6.8 
+.7 
+6.9 
-9.2 
-5.8 
+ 1.0 



72,408 

3,975 

8,855 

502 

26,785 
78,712 
24,602 



518 

11,421 

65,904 

719 

1.208 
13,859 

84,386 
14.465 
68.652 

1.934 
185.955 

1,644 
48.880 
51,551 



81,513 

3,829 

6,305 

574 

28,972 
82.112 
27,698 



490 

11,632 

73,379 

796 

1.181 
11,981 

77,985 
13.187 
73,141 

1.822 
185,607 

1,260 
46,040 
52.067 



+ 12,6 

-3.7 

-28.8 

+ 14.3 

+8.2 

+4.3 

+ 12.6 



-5.4 

+ 1.8 
+ 11.3 
+ 10.7 

-2.2 
-13.6 

-7.6 
-8.8 
+6.5 
-5.8 
— 2 
-23.4 
-5.8 
+ 1.0 



99,462 

23,451 

106,054 

4,011 

13,847 
23,117 
12,205 



53.663 

5,563 
126,545 

2,747 

8.129 

142.174 

82,551 

54,583 

101,888 

3,205 

341,880 

1,610 

16.628 

64,911 



111,903 

24,458 

116,831 

4,658 

15.106 
24.949 
12.925 



57,315 

5,810 
161,102 

2,437 

9.366 
147,565 

87,729 

58,270 

108.625 

3,063 

372,711 

1.536 

15,888 

65,978 



+ 12.5 

+4.3 

+ 10.2 

+ 16.1 

+9,1 

+7.9 
+5.9 



+6.8 

+4.4 
+27.3 
-11.3 

+ 15.2 
+3.8 

+6.3 
+6,8 
+6.6 
-4.4 
+9.0 
-4.6 
-4.5 
+ 1.6 



21,434 

1,901 

2,942 

367 

2,722 
7,504 
1,788 



942 

847 

9.212 

41 

686 

2,147 

30.954 

2,696 

16,282 

378 

47,957 

376 

16,628 

64,911 



24,154 

1.755 

2,655 

485 

2,901 
8,094 
1,929 



709 

896 

9.565 

33 

656 
1,930 

29,958 
2,666 
17,863 

322 
48,525 

302 
15,888 
65,978 



+2.6 



+ 12,0 

+ 19,8 

+34.0 

+ 10.0 

+6.0 

+ 1.7 

+ 16.1 

+5.6 



+ 15.8 
+2.9 



+3.8 



+ 12.7 
-7.7 
-9.8 

+32.2 

+6.6 

+7.9 
+7.9 



-24.7 

+5.8 

+3.8 

-19.5 

-4.4 
-lO.I 

-3.2 
-1.1 
+9.7 

-14.8 
+ 1.2 

-19.7 
-4.5 
+ 1.6 



'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 
^Property crimes are offenses of burglary, larceny-lhefl. motor vehicle theft, and arson. 
'Includes arson. 



181 



Table 33.— Total Arrests, Distribution by Age, 1989 
[10.503 agencies; 1989 estimated population 199.947.000] 



Offense charged 



Total 
all 
ages 



Ages 

under 

15 



Ages 

under 

18 



Ages 

18 and 

over 



Age 



Under 
10 



10- 



13-14 



17 



18 



20 



TOTAL 

Percent distribution' 

Murder and nonnegligent 

manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 

Violent crime' 

Percent distribution' 

Properly crime^ 

Percent distribution' 

Crime Index total* 

Percent distribution' 

Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, 

possessmg 

Vandalism 

Weapons; carrying, possessing. 

etc 

Prosiitution 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 



1,261,295 
100.0 



17,975 

30,544 

133,830 

354,735 

356.717 

1,254,220 

182.810 

14,667 



537,084 

100.0 

1,808,414 

100.0 



2,345,498 
100.0 



771,794 
80,979 

289.996 
1.3,034 

141,763 
247,802 

180,670 



88.536 

83,487 

1.075.728 

17,166 

58,525 
1,333,327 

502,798 

668.252 

646,097 

29,585 

2,477.026 
1 3.868 

65,092 
130,272 



585,521 

5.2 



1.744.818 
15.5 



9,516,477 
84.5 



47,971 



145,821 
1.3 



391,729 
3.5 



314,077 
2.8 



385,198 
3.4 



460,022 
4.1 



555.940 
4.9 



550.768 
4.9 



503,402 
4.5 



290 

1.699 

8.895 

14,134 

45,017 

162,402 

20.462 

4.356 



2,208 

4,706 

30,810 

47,008 

113,754 

359.732 

74.729 

6.360 



15.767 
25,838 
103,020 
.307.727 
242,963 
894,488 
108.081 
8.307 



15 
93 

295 

965 

4.233 

14,565 

300 

1,099 



24 

394 

1,883 

3.401 

12,342 

50,143 

2,676 

1,363 



251 

1,212 

6.717 

9,768 

28,442 

97,694 

17.486 

1,894 



366 

923 

6,183 

8.429 

20.394 

61.198 

17,526 

778 



624 

983 

7,567 

11,093 

23,175 

66,569 

19,048 

645 



928 

1,101 

8.165 

13,352 

25,168 

69.563 

17.693 

581 



1.126 

1,312 

9,053 

14,924 

26,574 

69,250 

14,728 

551 



1.175 

1,259 

8,292 

14,489 

21.407 

58.291 

11.192 

507 



965 

1.210 

7,045 

13.825 

16,682 

47,619 

8.282 

439 



25.018 

4.7 

232.237 

12.8 



84.732 

15.8 

554,575 

30.7 



452,352 

84.2 

1,253,839 

69.3 



1,368 

.3 

20,197 

1.1 



5,702 

1,1 

66.524 

3.7 



17,948 

3.3 

145.516 

8.0 



15,901 
3.0 

99,896 
5.5 



20.267 

3.8 

109.437 

6.1 



23,546 

4.4 

113,005 

6.2 



26.415 

4.9 

111,103 

6.1 



25,215 
4.7 

91,397 
5.1 



23.045 
4.3 

73,022 
4.0 



257,255 
11.0 



639.307 

27.3 



1,706,191 

72.7 



21,565 
.9 



72,226 
3.1 



163,464 
7.0 



115,797 
4.9 



129,704 
5.5 



1.36,551 
5.8 



137,518 
5.9 



116,612 
5.0 



96,067 
4.1 



43,842 

899 

2,832 

124 

9,663 
48,538 

8,217 



141 

6,768 

12,359 

159 

732 
362 

9,694 

2,018 

29,928 

688 

75.313 
8.36 

19.354 
55.799 



112.695 
6,214 
9.338 

1.114 

35,407 
97.486 

31.577 



1.300 

13.595 

90.009 

953 

2,233 
15,506 

117,117 

17,600 

99,981 

2,330 

253.282 
2.410 

65.092 
1 30,272 



659.099 
74.765 

280,658 
11.920 

106,356 
150,316 

149,093 



87,236 

69,892 

985,719 

16,213 

56,292 
1,317,821 

385.681 
650,652 
546,116 

27,255 

2,223,744 
1 1 ,458 



3,646 
40 
116 

7 

402 

7.447 

399 



701 

.308 

10 

171 
122 

275 

135 

2.264 

36 

7.555 
118 

547 
2,099 



12,218 
162 

443 
44 

1,868 
1 5,3.38 

1,628 



18 

1,916 

1,286 

14 

120 
41 

819 

202 

7,280 

140 

16,761 
180 

3.278 
9.839 



27.978 
697 

2,273 
73 

7.393 
25,753 

6,190 



115 

4,151 

10.765 

135 

441 
199 

8.600 

1.681 

20.384 

512 

50,997 
538 

15.529 
43.861 



19,936 

949 

2,351 

86 

6,856 
15,516 

5,7.'!9 



2,385 

15.003 

192 

468 
630 

15.391 

2.5.30 

17,496 

446 

43,540 
440 

14,621 
33,564 



22,525 

1,597 

1,449 

284 

8,554 
16.046 

7,778 



329 

2,174 

25,272 

242 

483 

3,735 

33,466 

4,421 

22,782 

524 

57,761 
495 

17,176 
28,401 



26,392 

2,769 

2,706 

620 

10,334 
17,386 

9,843 



689 

2,268 

37,375 

360 

550 
10,779 

58,566 

8,631 

29.775 

672 

76,668 
639 

13,941 
12,508 



28,538 
4,250 
6,364 

733 

11,516 
15,173 

11,492 



1,940 

2,487 

55,076 

493 

1,657 
29,031 

86,264 

18,046 

35,240 

1.241 

108,217 
664 



29,090 

4,396 

9,490 

760 

9,579 
12,510 

10,544 



3,158 

2,563 

57.112 

460 

1,606 
38,530 

80,392 

19,832 

33.218 

1,137 

119.163 
616 



28,609 

4.247 

11,284 

637 

7,647 
9,841 

8.732 



3,904 

2,568 

54,344 

404 

1,798 
43,639 

61,129 

20,333 

30,545 

1,058 

116,054 
562 



See footnotes at end of table. 



182 



Table 33. — Total Arrests, Distribution by Age, 1989 — Continued 



OfTense charged 



Age 



2.1 



24 



2.'i-29 .10-34 .15-.W 40-44 45-49 50-54 



55-59 



60-64 



65 and 
over 



10TAI 

Percent distribution' 

Murder and nonncgligeni 

manslaughter 

Forcible rape 

Rohhcr> 

Aggravated assault 

Burglarv' 

Larceny-theft 

Motor vehicle theft 

Arson 

\'iolenl crime* 

Percent distribution' 

Property crime' 

Percent distribution' 

Crime Index total' 

Percent distribution' 

Other assauhs 

Forgerv and counterfeiting 

Fraud 

Embezzlement 

Stolen properly: buying, receiving. 

possessing 

Vandalism 

Weapons: carrying, possessing. 

etc 

Prostitution and commercialized 

vice 

Sex ofTenses (except forcible rape 

and prostitution) 

Drug abuse violations 

Gambling 

Offenses against family and 

children 

Drning under the influence 

Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) 

Suspicion 

Curfew and loitering law 

violations 

Runaways 



451,09.1 
4.0 



S.I 7 

1.229 

6.190 

13.727 

13.029 

.19.344 

6.302 

380 



21.983 
4.1 

59.055 
3.3 



81,038 
3.5 



31.163 

3.720 

13.036 

611 

5.990 
8.351 

7.732 



4.496 

2.520 

51.993 

318 

2.237 
56.268 

1 3.732 
23,913 
29,716 

895 
112.813 

551 



444.S48 
3.9 



452,783 
4.0 



2,073.706 
18.4 



1,585.889 
14.1 



1.017,116 
9.0 



591.426 

5.3 



334,803 
3.0 



194,502 

1.7 



124,264 
I.I 



80.010 

.7 



811 

1.168 

6,073 

14,027 

12.519 

37.916 

5.692 

.167 



758 

1,231 

5,801 

14.526 

12,327 

37,768 

5,395 

403 



1,132 
5,757 
24,978 
69.455 
53.357 
178.082 
21,558 
1,575 



2,214 

4,543 

15,7.10 

54.813 

36.332 

146.600 

13.889 

1,329 



1.459 

2.981 

7.835 

35,530 

20.187 

97.699 

7.425 

891 



986 

1.708 

3.123 

20.788 

8.849 

54,943 

3.472 

611 



524 

922 

1.305 

11.760 

3.823 

29,811 

1,465 

355 



105 

528 

494 

6.617 

1.647 

18.176 

687 

218 



220 
338 
261 
4,061 
849 
12,750 
367 
135 



170 
218 
104 

2.559 
466 

9.778 
167 
86 



22.079 
4.1 

56.494 
3.1 



22.316 
4.2 

55.893 
3.1 



103,322 
19.2 

254,572 
14.1 



77.300 

14.4 

198,150 

11.0 



47,805 

8,9 

126.204 

7.0 



26.605 
5.0 

67.875 
3.8 



14.511 
2.7 

35,454 
2.0 



7,944 

1.5 

20.728 

1.1 



4.880 

.9 

14,101 



3.051 

.6 

10.497 

.6 



78.573 
3.3 



78.209 
3.3 



357.894 
15.3 



275.450 
11.7 



174,009 

7.4 



94.480 
4.0 



49.965 
2.1 



28.672 
1.2 



18.981 
.8 



1 3.548 
.6 



31.807 

3,747 

1 3,470 

556 

5,261 
7.964 

7,359 



5.198 

2,617 

52.157 

360 

2,3.14 
57,438 

11.148 
24.090 
27.810 

975 
111.149 

535 



33,666 

3,714 

14,137 

662 

5.110 
7.662 

7,036 



5,392 

2.768 

53.034 

323 

2.533 
61.032 

9.851 

25.230 

28.022 

992 

112.816 

594 



158.178 

17.925 

64,938 

2.526 

20.899 

32.512 

30.256 



26,080 

14,081 

245.650 

1,913 

12.953 
295.204 

36.608 
125,189 
1 1 8,609 

5.234 
504.220 

2,837 



119,808 

13,568 

52,937 

1.809 

15,209 
21,533 

21.975 



1 7,337 

12,007 

177,780 

2.019 

11.624 
234,033 

23.926 
113.700 
85.491 
4.987 
378.603 
2.091 



74,005 
7,828 

36,309 
1.236 

8.942 
12,244 

14.094 



8,337 

8.674 

101.773 

1.913 

8.115 
160.025 

15.626 
86.2.14 
52.356 

3.822 
240,.101 

1.271 



42.000 

3,846 

22,180 

796 

4,703 
6,405 

8,788 



3,416 

6,047 

47,009 

1,733 

4,647 
107,997 

10,295 

58.388 

30.777 

2.403 

134.870 

646 



22.670 

1.839 

11.427 

455 

2.409 
3.156 

5,141 



1,727 

3,850 

19,943 

1.641 

2.298 
70.029 

6.644 
39.327 
17,080 

1.548 

73.388 

266 



12,323 

819 

5,752 

260 

1,101 
1,587 

3,044 



807 

2,416 
8,520 
1,384 

1,087 
43,939 

4.332 
26,836 
10,076 

898 
40,526 

123 



7,353 
403 

3,170 
138 

633 
924 

1,911 



514 

1,809 
4,257 
1,110 

569 
29,206 

2.959 
19.517 

6.114 

595 

24.013 



4,430 

273 

1,761 

62 

362 
617 

1,279 



352 

1.317 

1.959 

840 

334 
18,730 

2.035 
12,987 
3,950 
301 
14.841 
32 



83.702 

.7 



205 
232 
139 
2.771 
513 
13.816 
190 



3.347 

.6 

14,607 



17,954 



4,850 

149 

2,064 

44 

316 

742 

1,300 



357 

1,617 

1,668 

958 

341 
16.520 

1.897 

11.967 

4.430 

247 

16.245 

36 



'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 \ehicle theft, and arson. 
'Includes arson. 



183 



Table 34. — Male Arrests, Distribution by Age, 1989 
110.503 agencies; 1989 eslimatcd population 199.947.000) 



OfTense charged 



Total 
all 
ages 



Ages 

under 

15 



Ages 

under 

18 



Ages 

18 and 

over 



Age 



Under 
10 



10-12 



1.3-14 



19 



TOTAL 

Percent distribution' 

Murder and nonnegligent 

manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 

Violent crime^ 

Percent distribution' 

Property crime' 

Percent distribution' 

Crime Index total* 

Percent distribution' 

Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving. 

possessing 

Vandalism 

Weapons; carrying, possessing. 

etc 

Prostitution and commercialized 
vice 

Sex offenses (except forcible rape 
and prostitution) 

Drug abuse violations 

Gambling 

Offenses against family and 
children 

Driving under the influence 

Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except 

traffic) 

Suspicion 

Curfew and loitering law 

violations 

Runaways 



9,224,132 

100.0 



15.843 
30.178 
122.380 
307,276 
325.552 
872.458 
164.207 
12.672 



475,677 

100.0 

1.374,889 

100 



1,850,566 
100.0 



651,068 

53.591 

157.586 

7.972 

125.126 
220.484 

166.632 



27,472 

77,157 

900,842 

1 4,605 

48.123 
1.170.750 

407.560 

603.122 

526,311 

25.581 

2.072.270 
11,675 

48,343 
57.296 



443,279 

4,8 



L362,814 

14.8 



7,861,318 

85,2 



40,516 

.4 



115,905 

1,3 



286.858 

3.1 



235,940 

2,6 



303,336 

3,3 



380,259 

4,1 



470,132 

5,1 



463,648 

5,0 



421.484 

4,6 



265 

1,641 

7,925 

11,574 

40,653 

120,321 

17.811 

3.937 



2.069 

4.599 

28,211 

40.050 

104.711 

263,542 

67,118 

5.738 



13.774 

25.579 

94.169 

267,226 

220,841 

608,916 

97,089 

6,934 



13 

84 

281 

860 

3.799 

11.983 

289 

1,021 



21 

.383 

1,707 

2,857 

11,102 

38,034 

2,359 

1.245 



231 

1.174 

5,937 

7.857 

25,752 

70.-304 

15,163 

1.671 



348 

908 

5.594 

7,108 

18.830 

43,856 

15.657 

690 



590 

962 

7.024 

9.601 

21.584 

48.198 

17.309 

579 



866 

1,088 

7,668 

11,767 

23,644 

51,167 

16.341 

532 



1.056 

1.301 

8.560 

13,382 

25,070 

50,968 

13,665 

500 



1,094 

1.244 

7,787 

12,822 

19,923 

42.207 

10.257 

454 



885 

1.199 

6.588 

12,172 

15,433 

33.670 

7.602 

387 



21,405 

4.5 

182,722 

13 3 



74,929 

15.8 

441,109 

32 1 



400,748 
84,2 

933,780 
67.9 



1,238 

,3 

17,092 

1,2 



4.968 

1,0 

52,740 

3,8 



15,199 

3.2 

112.890 



13,958 

2,9 

79,033 

5.7 



18,177 
3,8 

87,670 
6,4 



21,389 
4.5 

91,684 
6.7 



24,299 
5,1 

90,203 
6,6 



22,947 
4,8 

72,841 
5,3 



20,844 
4.4 

57,092 
4,2 



204,127 
11.0 



516,038 

27.9 



1,334,528 

72.1 



18,330 
1.0 



57,708 
3.1 



128,089 
6,9 



92,991 
5.0 



105.847 

5,7 



113,073 
6.1 



114,502 
6,2 



95,788 
5.2 



77,936 
4.2 



32,872 

634 

2.071 



8,660 
44,135 



7,479 



56 

6.235 

10.427 

150 

432 
293 

5.511 

1,369 

22.891 

572 

56,706 
624 

13,725 
24,228 



87,015 

4,265 

6,577 

601 

32,204 
88.754 

29,500 



522 

12,622 

79,654 

899 

1.416 
13,371 

84,526 

14,693 

80,228 

1,980 

200,376 
1,934 

48.343 
57,296 



564.053 
49,326 
151,009 

7,371 

92,922 
131,730 

137,132 



26,950 

64.535 

821.188 

13.706 

46.707 
1,157,379 

323.034 

588,429 

446.083 

23.601 

1,871.894 
9.741 



3,144 
33 

82 
5 

371 
6,895 



620 

263 
10 

112 
104 

220 

116 

1,900 

33 

5,842 
87 

464 
1.508 



9,591 
119 

335 
26 

1,703 
1 4.004 

1,488 



1.743 

1,069 

II 

90 
38 

488 

121 

5,720 

108 

13,501 
142 

2.508 
5..383 



20,137 

482 

1,654 

51 

6,586 
23,236 

5,617 



44 

3.872 

9,095 

129 

230 
151 

4,803 

1,132 

15.271 

431 

37.363 
395 

10,753 
17,337 



14.903 

621 

1.772 

53 

6.204 
14.173 

5,304 



53 

2.224 

13,203 

185 

277 
515 

9,752 

1,924 

13,576 

381 

33,020 
349 

10.570 
1 3.890 



17,619 

1,078 

970 

160 

7,841 
14,638 

7,356 



138 

2,045 

22,538 

232 

312 
3,152 

24.030 

3.707 

18.625 

448 

46,310 
4(12 

13.045 
12.843 



21,621 

1,932 

1.764 

306 

9.499 
1 5.808 

9,361 



275 

2,118 

33,486 

332 

395 
9,411 

45,233 

7.693 

25.136 

579 

64,340 

559 

11,003 
6,335 



23,744 

2,859 

3,521 

404 

10,498 
13,944 

10.954 



597 

2,320 

49.045 

440 

1,360 
25,643 

69,477 

16,489 

30,066 

1.052 

92.630 

587 



24.419 

3,033 

5.354 

416 

8.639 
11.342 

10.011 



829 

2. .348 
50.176 

427 

I.. 306 
33.918 

65.926 

18.207 

27.941 

937 

102,098 

533 



24,195 

2,831 

6,013 

321 

6,857 
8.818 

8.195 



984 

2..30I 

47,143 

350 

1.452 
38,728 

50.965 

18.582 

25.419 

840 

99.057 

497 



See footnotes at end ul liihlc 



184 



Table JM.— Male Arrests, Distribution by ,\Re, 1989— Continued 



Oflcnsc charged 



lOTAL 

Pemnt distribution' 



Murder and nonnegligcnt 

manslaughter 

Forcible rape 

Robbcr> 

Aggravated assault 

Burglary 

Larceny-thcfl 

Motor vehicle theft 

Arson 



Violent crime^ 

Percent distribution' 
Properly crime' — 
Percent distribution' 



Crime Index total' . 
Percent distribution' 



Other assaults 

Forger> and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, 

possessing 

Vandalism 

Weapons; carrying, possessing. 

etc 



Prostitution and commercialized 



Sex offenses (except forcible rape 
and prostitution) 

Drug abuse violations 

Gambhng 

Offenses against family and 
children 

Driving under the influence 



Age 



74.5,1.1 
4.1 



7.M 

1,220 

5,722 

11,873 

11,929 

26,795 

5,700 

336 



19,566 

4.1 

44,760 

3,3 



64.326 

3.5 



26,434 

2,478 

6.853 

336 

5,267 
7,353 

7.182 



1.294 

2,238 
44,023 

274 

1,767 
49,498 



Liquor laws II ,908 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except tralTic) 

Suspicion 

Curfew and loitering law 

\ lolations 

Runav^'avs 



!l,732 
24,632 

708 
95.768 

462 



.365.822 
4.U 



726 

1.160 

5.529 

12.144 

11,384 

25,544 

5,064 

313 



19,559 
4.1 

42,305 
3,1 



61,864 
3.3 



27,064 

2,456 

6,953 

321 

4,641 
6,963 

6,807 



1,356 

2,336 

43,544 

312 

1,840 
50,622 

9,753 
21,736 
22,491 

778 
93,529 

456 



370,10.3 
4.0 



663 

1,221 

5.246 

12,432 

11,180 

25,147 

4.770 

336 



19.562 
4.1 

41.433 
3,0 



60,995 
3.3 



28,698 

2,357 

7,354 

383 

4.432 
6.670 

6.459 



1.368 

2.466 

43.730 

260 

2,063 
53,595 

8,584 
22,612 
22,491 

804 
94,285 

497 



25-29 



1,684.749 
18,3 



2,691 

5,693 

22,543 

59,679 

47,979 

118,934 

18,930 

1.276 



90.606 
19.0 

187.119 
13,6 



30-34 



1.291,039 
14.0 



1.843 
4,489 
14.101 
46,986 
32,427 
99,062 
12,174 
1,066 



67,419 
14.2 

144.729 
10.5 



277,725 
15,0 



135,389 

11,464 

34,325 

1,578 

1 7.833 
28.042 

27.403 



6.602 

12.585 

199,573 

1 ,586 

10,497 
257,331 

31,631 

111,109 

93,770 

4,361 

419,575 

2,370 



212,148 
11.5 



35-39 



837,730 
9.1 



1,222 

2,942 

7,061 

30,692 

18,103 

67,881 

6,577 

718 



41,917 



93,279 
6.8 



135,196 
7,3 



'Because of rounding, the percentages may not add to total, 

'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 
'Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 
'Includes arson. 



102.919 

8,885 

28.125 

1,196 

12,860 
18,515 

19.840 



4.844 

10.952 

143,827 

1,627 

9,690 
203,927 

20,538 

101,149 

68,436 

4,300 

315,533 

1,728 



63,854 

5,216 

19,168 

825 

7,597 
10,509 

12.724 



2.984 

8.125 

83.710 

1,534 

6,932 
139,797 

13,400 
77,520 
42,646 

3,449 
201,451 

1.093 



493,199 
5,3 



820 

1,694 

2,825 

18,160 

7,772 

37,415 

3,104 

500 



23,499 

4.9 

48,791 

3,5 



45-49 



282.625 
3.1 



440 

917 

1.182 

10,362 

3,356 

19,492 

1,.335 

280 



12,901 
2,7 

24,463 
1,8 



50-54 



165,967 
1,8 



260 

527 

465 

5,920 

1,428 

11,251 

630 

181 



7,172 

1,5 

13,490 

1,0 



55-59 



106,975 
1,2 



187 
335 
246 

3,611 
713 

7.531 
339 
118 



72,290 
3.9 



36.480 
2.581 
12.163 

517 

4,112 
5.480 

8.053 



1,925 

5,815 

39,365 

1,426 

4,017 
94,567 

8,856 

53.175 

25,681 

2,241 

113,896 

559 



37,364 
2.0 



19.765 

1.306 

6.730 

329 

2.110 
2.711 

4.671 



1.232 

3.742 

17,049 

1,364 

2,030 
61.721 

5.701 
35,228 
14,405 

1,457 

62,476 

234 



20,662 
1.1 



10.737 

604 

3.459 

206 

973 
1.352 

2,786 



664 

2.365 
7,334 
1,189 

959 
39.514 

3,840 
25.010 

8,549 

846 

34,803 

115 



4,379 
,9 

8,701 
,6 



13,080 

.7 



60-64 



68.482 

.7 



146 
217 
100 

2.307 
391 

5.567 
158 
71 



2.770 
,6 

6.187 
,4 



65 and 
over 



6.409 
293 

2,034 
106 

559 
806 

1,775 



464 

1,779 

3,702 

986 

496 

26,575 

2,636 
18,431 

5.188 

567 

21,006 

83 



8,957 
,5 



3,860 

212 

1,207 

44 

318 
528 

1. 191 



321 

1,297 

1,722 

757 

293 
17,135 

1,819 

12,307 

3,379 



:,826 
29 



69.177 

.7 



177 
231 
123 

2,513 
437 

7.804 
169 
76 



3,044 
.6 

8.486 
,6 



11.530 
.6 



4.127 

106 

1,281 

33 

278 
621 

1,206 



318 

1,596 

1,434 

867 

274 
15,174 

1,660 
11,289 

3,753 

217 

I3,.379 

34 



185 



Table 35. — Female Arrests, Distribution by Age, 1989 
(10.503 agencies: 1989 estimated population 199,947,000] 





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 


21 


TOTAL 


2.037,163 
100.0 


142,242 
7.0 


382,004 
18.8 


1.655,159 
81.2 


7,455 
.4 


29,916 
1.5 


104,871 
5.1 


78,137 
3,8 


81.862 
4.0 


79,763 
3.9 


85,808 
4.2 


87,120 
4.3 


81,918 
4,0 


76,872 
3.8 






Murder and nonnegligent 

manslaughter 

Forcible rape 

Robberv' 


2,132 

366 

11,450 

47,459 

31,165 

381,762 

18,603 

1 .995 


25 

58 

970 

2,560 

4,364 

42,081 

2,651 

419 


139 

107 

2,599 

6,958 

9,043 

96,190 

7.611 

622 


1.993 

259 

8,851 

40,501 

22 122 

285'572 

10.992 

1.373 


9 

14 

105 

434 

2.582 

11 

78 


3 

1 1 
176 
544 
1.240 
12.109 
317 
118 


20 

38 

780 

1,911 

2,690 

27,390 

2,323 

223 


18 

15 

589 

1,321 

1,564 

17,342 

1.869 

88 


34 

21 

543 

1,492 

1,591 

18,371 

1,739 

66 


62 

13 

497 

1.585 

1.524 

18.396 

1.352 

49 


70 

11 

493 

1.542 

1,504 

18,282 

1,063 

51 


81 

15 

505 

1.667 

1.484 

16.084 

935 

53 


80 

11 

457 

1,653 

1,249 

13,949 

680 

52 


67 

13 

506 


Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 


1.684 

1.086 

12,997 

655 




48 


Violent crime^ 


61,407 

100.0 

433.525 

100.0 


3,613 

5.9 

49,515 

11.4 


9.803 

16.0 

1 1 3.466 

26.2 


51,604 

84.0 

320,059 

73.8 


130 

.2 
3.105 

.7 


734 

1.2 

13.784 

3.2 


2,749 

4.5 

32.626 

7,5 


1,943 

3.2 

20,863 

4.8 


2.090 

3.4 

21.767 

5.0 


2.157 

3.5 

21.321 

4.9 


2.116 

3.4 

20,900 

4.8 


2,268 

3.7 

18,556 

4.3 


2,201 

3.6 

15.930 

3 7 


2,270 
3.7 




14,786 




3.4 






Crime Index total* 


494.932 
100.0 


53,128 
10.7 


12.3,269 
24.9 


371,663 
75.1 


3.235 

.7 


14.518 
2.9 


35.375 
7.1 


22.806 
4.6 


23.857 
4.8 


23.478 
4.7 


23,016 

4.7 


20.824 
4.2 

1 


18,131 

3.7 


17.056 
3.4 






Other assaults 

Fraud 

Embezzlement 

Stolen property; buying, receiving. 

possessing 

Vandalism 


120,726 

27,388 

132,410 

5,062 

16,637 
27,318 

14,038 

61,064 

6.330 

174,886 

2,561 

10.402 
162.577 

95,238 

65,1.30 

119,786 

4.004 

404,756 
2,193 

16,749 
72.976 


10,970 

265 

761 

42 

1,003 
4,403 

738 

85 

533 

1,932 

9 

300 
69 

4,183 
649 

7,037 
116 

18,607 
212 

5,629 
31,571 


25,680 

1,949 

2,761 

513 

3,203 
8,732 

2,077 

778 

973 

10,355 

54 

817 
2.135 

32,591 

2,907 

19.753 

350 

52.906 
476 

16,749 
72,976 


95,046 

25,439 
129,649 

4,549 

1 3,434 
18,586 

11.961 

60.286 

5,357 

164,531 

2,507 

9.585 
160.442 

62,647 

62.223 

100,033 

3,654 

351.850 
1.717 


502 

7 

34 
■> 

31 

552 

25 

5 

81 
45 

59 
18 

55 

19 

364 

3 

1.713 
31 

83 
591 


2.627 

43 

108 

18 

165 
1.334 

140 

9 

173 

217 

3 

30 
3 

331 

81 

1.560 

32 

3.260 
38 

770 
4,456 


7.841 
215 
619 

22 

807 
2,517 

573 

71 

279 

1,670 

6 

211 
48 

3,797 

549 

5.113 

81 

1 3.634 
143 

4,776 
26,524 


5.033 

328 

579 

33 

652 
1.343 

435 

88 

161 
1,800 

7 

191 
115 

5,639 

606 

3,920 

65 

10,520 
91 

4,051 
19,674 


4.906 
519 
479 
124 

713 
1.408 

422 

191 

129 

2.734 

10 

171 
583 

9,436 

714 

4,157 

76 

11.451 
93 

4.131 
15.558 


4.771 
837 
942 
314 

835 
1.578 

482 

414 

150 

3.889 

28 

155 
1.368 

13.333 

938 

4,639 

93 

12,328 
80 

2,938 
6,173 


4.794 

1.391 

2,843 

329 

1.018 
1,229 

538 

1.343 

167 

6,031 

53 

297 
3,388 

16,787 

1,557 

5,174 

189 

15,587 

77 


4,671 

1,363 

4,136 

344 

940 
1.168 

533 

2.329 

215 

6,936 

33 

300 
4,612 

14,466 
1,625 

5,277 
200 

17,065 
83 


4.414 

1.416 

5,271 

316 

790 
1,023 

537 

2.920 

267 

7.201 

54 

346 
4,911 

10,164 

1,751 

5,126 

218 

16,997 
65 


4,650 

1,396 

5.870 

279 

731 
1,019 




535 


Prostitution and commercialized 


3,053 


Sex offenses (except forcible rape 


281 


Drug abuse violations 

Gamblmg 

Offenses against family and 

children 

Drivmg under the influence 

Liquor laws 

Drunkenness 

Disorderly conduct 


7,633 
37 

428 
6,566 

2,503 
2,210 
5.446 


Vagrancy 

All other offenses (except 
IralTic) 


158 
16,941 


Suspicion 


80 


Curfew and loitering law 

















See footnotes at end of table. 



186 



I'ablc 35.— Female Arrests. Distribution by Age, IPS')— Continued 



OlTcnsc charged 



TOTAI 

Percent dislribulion' 

Murder and nonnegligeni 

nian-ilaughler 

Forcihle rape 

Robhcr> 

Aggravated assault 

Burglar> 

Larceny-theft 

Motor vehicle theft 

Arson 

Violent crime' 

Percent distribution' 

Property crime^ 

Percent distribution' 

Crime Index total* 

Percent distribution' 

Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, 

possensmg 

Vandalism 

Weapons: carrying, possessing. 

etc 

Prostitution and commercialized 
vice 

Sex offenses (except forcible rape 
and prostitution) 

Drug abuse violations 

GambHng 

Offenses against family and 
children 

Driving under the influence 

Liquor la»-s 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except iraftic) 

Suspicion 

Curfe» and loitering law 

violations 

Runawavs 



Age 



76,560 
3.8 



S6 

9 

468 

1.854 

1. 100 

12,549 

602 

44 



2.417 

3.9 

14.295 

3.3 



16,712 
3.4 



78.726 
3.9 



4,729 
1,242 
6,183 

275 

723 
998 

550 



3.202 

282 

7.970 

44 

470 
6,770 

1,824 
2,181 
5,084 
187 
17.045 
89 



S5 

8 

544 

1,883 

1,135 

12,372 

628 

54 



2,520 

4.1 

14.189 

3.3 



16.709 
3.4 



82.680 
4.1 



95 

10 

555 

2.094 

1.147 

12,621 

625 

67 



2,754 

4,5 

14.460 

3.3 



17,214 
3.5 



25-29 



388.957 
19.1 



441 

64 

2.435 

9.776 

5.378 

59,148 

2.628 

299 



12,716 
20.7 

67.453 
15.6 



30-34 



294,850 
14.5 



.171 

54 

1.629 

7.827 

3,905 

47,538 

1,715 

263 



80.169 
16.2 



4.743 

1.291 

6,517 

235 

620 
1. 00 1 



3.842 

281 
8.613 



494 
6.816 

1.395 

2.354 

5.319 

197 

17,620 

79 



4.968 

1,357 

6,783 

279 

678 
992 



4.024 

302 

9.304 

63 

470 

7.437 

1,267 
2.618 
5.531 
188 
18.531 
97 



22.789 

6.461 

30,613 

948 

3.066 
4.470 



19.478 

1.496 
46.077 

327 

2.456 
37.873 

4.977 
14.080 
24.839 

873 
84.645 

467 



9,881 

16.1 

53.421 

12.3 



35-39 



179,.386 
8.8 



237 

39 

774 

4,838 

2,084 

29,818 

848 

175 



6 3,. 302 
12.8 



'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 Ihefl. and arson. 
^Includes arson. 



16.889 

4.683 

24.812 

613 

2.349 
3.018 

2,135 



12.493 

1.055 

33.953 

392 

1.934 
30.106 

3.388 
12.551 
17,055 

687 
63,070 

365 



5,888 

9.6 

32.925 

7,6 



38. 



40-44 



98,227 
4.8 



166 

14 

298 

2.628 

1.077 

17,528 

368 

111 



3,106 

5.1 

19.084 

4,4 



45-49 



52.178 
2.6 



84 

5 

123 

1..398 

467 

10.319 

1.10 

75 



il3 22.190 
7,8 4,5 



10.151 

2.612 

17.141 

411 

1.345 
1.735 

1,370 



5.353 

549 

18.063 

379 

1.183 
20.228 

2.226 

8.714 

9.710 

373 

38,852 

178 



5.520 

1.265 

10.017 

279 

591 
925 

735 



232 

7.644 

307 

630 
13.4.30 

1.439 

5.213 

5.096 

162 

20,974 

87 



1,610 

2.6 

10.991 

2.5 



50-54 



28.535 
1.4 



45 

I 

29 

697 

219 

6.925 

57 

37 



772 

1.3 

7.238 

1.7 



55-59 



17,289 
.8 



33 
3 

15 

450 

136 

5.219 

28 

17 



12.601 



2.905 
533 

4.697 
126 

299 
445 

470 



495 

108 
2.894 

277 

268 
8.308 

943 

3.099 

2.675 

91 

10.912 

32 



i.OlO 
1.6 



1.586 

215 

2,293 

54 

128 
235 

258 



143 

51 

1,186 

195 

128 
4,425 

492 

1,826 

1,527 

52 

5,723 



501 

.8 

5.400 

1,2 



60-64 



11,528 
.6 



24 
I 

4 

252 

75 

4,211 

9 

15 



5.901 
1,2 



944 

110 

1,136 

32 

74 
118 

136 



50 

30 

555 
124 

73 
2,631 

323 

1,086 

926 

28 

3,007 

5 



281 

,5 

4,310 

1,0 



65 and 
over 



4,591 
.9 



570 
61 

554 
18 

44 
89 

88 



20 

237 

83 

41 
1.595 

216 

680 

571 

21 

2.015 

3 



14,525 

.7 



28 

I 

16 

258 

76 

6.012 

21 

12 



303 

.5 

6.121 

1,4 



6.424 
1.3 



723 
43 

783 
11 

38 
121 

94 



21 

234 

91 

67 
1.346 

237 

678 

677 

30 

2.866 



187 



Table 36.— Total Arrests of Persons under 15, 18, 21, and 25 Years of Age, 1989 

110.503 agencies; 1989 estimated population 199,947,000] 





Total 
all ages 


Number of persons arrested 


Percent of total all ages 


Offense charged 


Under 15 


Under 18 


Under 21 


Under 25 


Under 
15 


Under 
18 


Under 
21 


Under 

25 


TOTAL 


11,261,295 


585,521 


1.744,818 


3,354.928 


5,175,877 


5.2 


15.5 


29.8 


46.0 








17,975 

30,544 

133,830 

354,735 

356,717 

1,254,220 

182,810 

14,667 


290 

1.699 

8.895 

14.134 

45.017 

162.402 

20.462 

4.356 


2.208 

4.706 

30.810 

47,008 

113,754 

359,732 

74,729 

6,360 


5,474 

8,487 

55,200 

90,246 

178,417 

534,892 

108,931 

7,857 


8,760 

13,317 

79.861 

146.381 

230,694 

692,565 

133.590 

9.377 


1.6 
5.6 
6.6 
4.0 
12.6 
12.9 
11.2 
29.7 


12.3 
15.4 
23.0 
13.3 
31.9 
28.7 
40.9 
43.4 


30.5 
27.8 
41.2 
25.4 
50.0 
42.6 
59.6 
53.6 


48.7 


Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 


43.6 
59.7 
41.3 
64.7 
55.2 




73.1 




63.9 








537,084 
1,808,414 


25.018 
232.237 


84,732 
554,575 


159,407 
830,097 


248.319 
1,066.226 


4.7 
12.8 


15.8 
30.7 


29.7 
45.9 


46.2 


Property crime' 


59.0 




2,345,498 


257.255 


639,307 


989,504 


1.314,545 


11.0 


27.3 


42.2 


56.0 






Forgery and counterfeiting 


771,794 
80,979 
289,996 
13,034 
141,763 
247,802 
180,670 

88,536 
83,487 

1,075,728 
17,166 
58,525 

1,333,327 

502,798 

668,252 

646,097 

29.585 

2.477.026 

13,868 

65,092 

130,272 


43.842 

899 

2.832 

124 

9.663 

48.538 

8.217 

141 
6,768 
12,359 
159 
732 
362 

9,694 

2.018 

29.928 

688 

75.313 

836 

19.354 

55.799 


112,695 

6.214 

9.338 

1,114 

35,407 

97,486 

31.577 

1.300 

13.595 

90,009 

953 

2,233 
15,506 

117,117 

1 7,600 

99,981 

2,330 

253,282 

2,410 

65,092 

130.272 


198,932 

19.107 

36.476 

3,244 

64,149 

135,010 
62,345 

10,302 

21.213 

256.541 

2.310 

7.294 

1 26.706 

344.902 

75.811 

198.984 

5.766 

596.716 

4.252 

65,092 

130,272 


326,177 

34,329 

89,458 

5,708 

87,189 

168,082 
92,882 

29,609 
31,669 

467.169 
3.655 
16,557 

357,644 

398,476 

174,107 

317.214 

9.550 

1.050.017 

6,476 

65,092 

130,272 


5.7 
1.1 
1.0 
1.0 
6.8 
19.6 
4.5 

8.1 
1.1 
.9 
1.3 
(4) 

1.9 

.3 

4.6 

2.3 

3.0 

6.0 

29.7 

42.8 


14.6 

7.7 
3.2 
8.5 
25.0 
39.3 
17.5 

1.5 
16,3 
8.4 
5.6 
3.8 
1.2 

23.3 
2.6 
15.5 
7.9 
10.2 
17.4 
100.0 
100.0 


25.8 
23.6 
12.6 
24.9 
45.3 
54.5 
34.5 

11.6 
25.4 
23.8 
13.5 
12.5 
9.5 

68.6 
11.3 
30.8 
19.5 
24.1 
30.7 
100.0 
100.0 


42.3 
42.4 
30.8 
43.8 




61.5 
67.8 




51.4 




33.4 


Sex offenses {except forcible rape and prostitution) . . . 


37.9 
43.4 


Gambling 


21.3 
28.3 


Driving under the influence 

Liquor laws 

Drunkenness 


26.8 

79.3 
26.1 
49.1 




32.3 




42.4 




46.7 


Curfew and loitering law violations 


100.0 
100.0 







'Violent LTimes 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. 



188 



Tabic 37.— Total Arrests. Distribution by Sex, 1989 

I10.50J agencies; WS** estimated population IW.'J-lT.tlOO) 



Offense charged 



TOTAL 

Murder and nonnegligcnt manslaughter 

Forcible rape 

Robher\ 

Aggravated assault 

Burglar)' 

Larceny-theft 

Motor vehicle ihefl 

Ar^on 

Violent crime' 

PropcrtN crime* 

Crime Index total* 

Other assaults 

Forgerv and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, possessing 

Vandalism 

Weapons; carrying, possessing, etc 

Prostitution and commercialized vice 

Sex olTenses (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 olTenses (except traffic) 

Suspicion 

Curfew and loitering law violations 

Runaways 



Number of persons arrested 



Total 



1,261.295 



17,975 

30,544 

1.1.1.830 

354.735 

355,717 

1.254.220 

182.810 

14,667 



537.084 
1.808.414 



2,345.498 



771.794 
80,979 
289,996 
1 3,034 
141.763 
247.802 
180,670 

88,536 
83.487 

1.075.728 
17,166 
58,525 

1.333.327 

502.798 

568.252 

646,097 

29,585 

2,477,026 

13,868 

65,092 

130,272 



Male 



9,224,132 



'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. 



I 5,843 
30.178 
122.380 
307.276 
325,552 
872,458 
154.207 
12.572 



475.677 
1.374.889 



Female 



2,037,163 



2,132 

365 

11,450 

47,459 

31.155 

381,762 

18,603 

1,995 



51,407 
433.525 



1.850.566 



551.058 
53.591 
157.586 
7.972 
125,126 
220,484 
155.632 

27.472 
77.157 
900,842 
14,605 
48,123 
1,170.750 

407.550 

503,122 

526,311 

25,581 

2,072,270 

11,675 

48,343 

57,295 



494.932 



120,726 
27,388 

132.410 

5.062 

15.637 

27,318 

14,038 

61,054 

6.330 

174.886 

2.551 

10,402 

152,577 

95,238 

65,130 

119.786 

4.004 

404.755 

2.193 

16.749 

72.976 



Percent 
male 



81.9 



88.1 
98.8 
91.4 
86.6 
91.3 
59.6 
89.8 
86.4 



88.6 
75.0 



Percent 
female 



18.1 



11.9 

1.2 

8.6 

13.4 

8.7 

30.4 

10.2 

13.6 



1 1.4 
24.0 



78.9 



84.4 
66.2 
54.3 
61.2 
88.3 
89.0 
92.2 

31.0 
92.4 
83.7 
85.1 
82.2 
87.8 

81.1 
90.3 
81.5 
86.5 
83.7 
84.2 
74.3 
44.0 



Percent distribution' 



Total 



100.0 



.3 
1.2 
3.2 
3.2 
111 
1.6 
.1 



4.8 
16.1 



20.8 



Male 



15.6 


5.9 


33.8 


.7 


45.7 


2.6 


38.8 


.1 


11.7 


1.3 


11.0 


2.2 


7.8 


1.5 


69.0 


.8 


7.6 


.7 


16.3 


9.5 


14.9 


2 


17.8 


.5 


12.2 


11.8 


18.9 


4.5 


9.7 


5.9 


18.5 


5.7 


13.5 


.3 


15.3 


22.0 


15.8 


.1 


25.7 


.5 


55.0 


1.2 



ItlO.O 



,3 
1.3 
3.3 
3.5 
9.5 
1.8 

.1 



5.2 
14.9 



20.1 



Female 



100.0 



.1 
(2) 

.6 

2.3 

1.5 

18.7 

.9 

.1 



3.0 
21.3 



24.3 



7.1 


5.9 


.5 


1.3 


1.7 


6.5 


.1 


.2 


1.4 


.8 


2.4 


1.3 


1.8 


.7 


.3 


3.0 


.8 


.3 


9.8 


8.5 


2 


.1 


.5 


.5 


12.7 


8.0 


4.4 


4.7 


5.5 


3.2 


5.7 


5.9 


.3 


.2 


22.5 


19.9 


.5 


.8 


.5 


3.6 



189 



lable 38.— Total Arrests, Distribution by Race, 1989 

1:0.479 agencres; I9»9 eslrmated population I99..194.000J 



OfTensc charged 



Total arrests 



Total 



White 



Black 



American 
Indian 



Alaskan 
Native 



Pacific 
Islander 



Percent distribution' 



Total 



White 



Black 



American 
Indian 



Alaskan 
Native 



Pacific 
Islander 



TOTAL 

Murder and nonnegligent manslaughter 

Forcible rape 

Robber>- 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 

Violent crime^ 

Properly crime' 

Crime Index total* 

Other assaults 

Forgery and counlerfeiling 

Fraud 

Embczzlemeni 

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 



,224,528 



7,559,138 



3,459,177 



1 13,777 



92,4.36 



100.0 



67.3 



30.8 



17,944 
30.470 
133.683 
3.S 3,868 
355.913 
.252,117 
182.634 
14.631 



535.965 
1.805.295 



2.341.260 



770.687 
80,746 

289.752 
12,998 

141.378 
247.169 
180.337 

88.526 

83,342 

1,074,345 

17,148 

58,166 

1.314,556 

501,732 

666,566 

644.992 

29,557 

2.472.917 

13,847 

64,922 

129,585 



7.567 

15,768 

45,437 

203,457 

235,043 

806,752 

101,260 

10,839 



10,118 

14,209 

86,832 

144,574 

114,901 

417,442 

77,594 

3,591 



120 

253 

483 

3,155 

2,918 

12,899 

1,456 

112 



139 

240 

931 

2,682 

3,051 

15,024 

2,324 

89 



100.0 
100.0 
1 00.0 
100.0 
100.0 
100.0 
100.0 
100.0 



42.2 
51.7 
34,0 
57,5 
66.0 
64.4 
55.4 
74,1 



56.4 
46.6 
65.0 
40,9 

32.3 
33.3 
42.5 
24.5 



272,229 
1.153,894 



255.733 
613.528 



4.011 
17.385 



3,992 
20,488 



100,0 
100.0 



50.8 
63.9 



47,7 
34.0 



1,426,123 



869.261 



! 1.396 



24.480 



100.0 



60.9 



37.1 



475.488 

51,661 

193.247 

8.501 

78.164 
182.678 
101.522 

50,862 

63,643 

613,800 

8,154 

37,671 

1,171.282 

439,416 

5.TO,926 

405,800 

16,876 

1,544,864 

6,085 

47,246 

105,129 



281,237 

28,022 

94,597 

4,337 

61,598 
60,177 
76,264 

36,391 

18,270 

452,574 

7,846 

18,435 
119,684 

47,883 
118,312 
229,286 

12,070 

878.860 

7.656 

15.896 

20,521 



8,112 
412 
910 

43 

680 

2,293 

788 

476 

798 

3,407 

33 

589 

13,910 

11,005 

1 5,5 1 8 

7,282 

519 

23,398 

49 

546 

1 .6 1 3 



5.850 
651 
998 
117 

936 
2.021 
1.763 

797 

631 
4,564 
1,115 
1,471 
9,680 

3,428 
1,810 
2,624 

92 
25,795 

57 
1,234 
2,322 



100,0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 

100.0 

100.0 
100.0 
KIO.O 
100.0 
100.0 

100,0 
100.0 
100,0 
100.0 
100,0 
1 00.0 
100.0 
100.0 



61,7 
64,0 
66,7 
65.4 

55.3 
73.9 
56.3 

57.5 

76.4 
57.1 
47.6 
64.8 
89.1 

87.6 
79.7 
62.9 
57.1 
62.5 
43.9 
72.8 
81.1 



36.5 
34.7 
32.6 
33.4 

43.6 

24.3 
42.3 

41.1 

21.9 
42.1 
45,8 
31,7 
9.1 

9.5 

17.7 
35.5 
40.8 
35.5 
55.3 
24.5 
15.8 



.7 
.8 
.4 
.9 
.8 
1.0 
.8 



.7 
1.0 



1.1 
.5 
.3 
.3 

.5 
.9 
.4 



1.0 

,3 

,2 

1,0 

1,1 

2.2 
2.3 
1.1 
1.8 
.9 
.4 



.8 
.7 
.8 
.9 
1.2 
1.3 
.6 



.7 
1.1 



1.0 



.8 
.8 
.3 
.9 



1.0 



.8 

.4 

6.5 

2.5 
.7 

.7 
.3 
,4 
,3 

1.0 
.4 

1.9 



Sec footnotes at end of tabic. 



190 



Table J18.— Total Arrests, Distribution by Race, 1989— Continued 



Offense charged 



TOTAL 

Murder and nonncgligent manslaughter 

Forcible rape 

RobbefN 

Aggraxated assault 

Burglars 

Larceny-theft 

Moior vehicle theft 

Arson 

Violent crimc^ 

Properly crime' 

Crime Index total' 

Other assaults 

Forgen 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 .. 
Runawavs 



Arrests under l« 



Total 



1. 7.40.46 1 



:.202 

4.696 

30.776 

46.899 

1 1 3,489 

359.206 

74,658 

6.349 



1,209,400 



84.573 
553.702 



638,275 



112,427 
6,203 
9,331 
1,080 

35,347 
97.188 
31.541 

1.300 

13.576 

89.900 

952 

2.217 

15.362 

116.835 

17.572 

99.755 

2.330 

252.360 

2.403 

64.922 

129.585 



815 

2.3 1 7 

10,076 

24,671 

84,273 

257,023 

41,220 

5,225 



489,169 



37,879 
387.741 



425.620 



65,954 

4,932 

5,632 

769 

19.256 
77.798 
18,155 

707 

9,487 

45,370 

255 

1,632 
14.543 

109,331 

15,621 

64,181 

1,776 

174,263 

1,743 

47,246 

105.129 



1.348 
2..307 
20.220 
21,400 
26,284 
91,216 
31,169 
1,013 



American 
Indian 



.Maskan 
Native 



16,7,31 



45,275 
149,682 



194.957 



43,702 

1,151 

3,488 

289 

15,475 
17,602 
12,828 

566 

3,876 

43,581 

611 

510 

516 

4,801 

1.513 

34,389 

519 

71,771 

607 

15,896 

20,521 



II 

33 

101 

345 

1.147 

4,421 

794 

59 



Pacific 
Islander 



25,161 



490 
6,421 



6.911 



930 

60 

48 

5 

222 
719 
142 

10 

96 
378 



15 
233 

1,871 

377 

594 

20 

1,912 

29 

546 

1,613 



28 

39 

379 

483 

1,785 

6,546 

1,475 

52 



929 
9,858 



Percent distribution' 



Total 



100.0 
100.0 
100.0 
100.0 
100,0 
100.0 
100.0 
100.0 



10,787 



1,841 

60 

163 

17 

394 

1,069 

416 

17 

117 

571 

86 

60 

70 

832 

61 

591 

15 

4,414 

24 

1,234 

2,322 



100.0 
100.0 



100.0 



100,0 
100,0 
100.0 
100.0 

100.0 
100.0 
100.0 

100.0 

100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100,0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



While 



69.5 



37.0 
49.3 
32.7 
52.6 
74.3 
71,6 
55.2 
82.3 



Black 



44.8 
70.0 



66.7 



58.7 


79,5 


60,4 


71,2 


54,5 


80.0 


57.6 



54.4 

69,9 
50,5 
26.8 
73.6 
94.7 

93.6 
88.9 
64.3 
76.2 
69.1 
72.5 
72.8 
81.1 



28.1 



61.2 
49.1 
65,7 
45,6 
23,2 
25,4 
41.7 
16.0 



\mcrican 
Indian 



Maskan 
Native 



53,5 
27.0 



30,5 



38,9 
18,6 
37,4 
26.8 

43.8 
18.1 
40.7 

43,5 

28,6 
48,5 
64,2 
23,0 
3,4 

4,1 
8,6 
34,5 
22,3 
28,4 
25,3 
24,5 
15,8 



,5 

.7 

.3 

.7 

1.0 

1,2 

1,1 

.9 



1.0 
.5 
.5 

.6 

.7 
.5 



Asian 



Pacific 
Islander 



.7 
1.5 

1.6 

2.1 
,6 
,9 
,8 

1,2 
,8 

1,2 



1.4 



1.3 
,8 
1.2 
1.0 
1.6 
1,8 
2,0 
,8 



1,1 
1,8 



1,7 



1,6 
1,0 
1,7 
1,6 

1,1 
1,1 
1,3 

1,3 

,9 

.6 

9.0 

2.7 
.5 

.7 
.3 
.6 
.6 
1.7 
1,0 
1,9 
1.8 



See footnotes at end of table. 



191 



Table 38. — Total Arrests, Distribution by Race, 1989— Continued 



Offense charged 



TOTAL 



Murder and nonneghgent manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 



Violent crime^ . 
Property crime' 



Crime Index total' 



Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, 

possessing 

Vandalism , 

Weapons; carrying, possessing, etc. 



Prostitution and commercialized vice . 
Sex offenses (except forcible rape and 

prostitution) 

Drug abuse violations 

Gambling 

Offenses against family and children . 
Driving under the influence 



Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) .. 

Suspicion 

Curfew and loitering law violations 
Runaways 



Arrests 18 and over 



Total 



9,484,067 



15.742 
25.774 
102,907 
306.969 
242.424 
892,911 
107,976 



451.392 
1.251.593 



1,702.985 



658,260 
74,543 

280.421 
11.918 

106,031 
149,981 
148.796 

87.226 

69,766 

984,445 

16,196 

55.949 

1,299,194 

384,897 

648.994 

545.237 

27.227 

2,220.557 

11.444 



While 



Black 



6,349,738 



6,752 

13,451 

35,361 

178,786 

150,770 

549,729 

60,040 

5.614 



234,350 
766.153 



1.000.503 



2,970,008 



8.770 

11.902 

66.612 

123,174 

88.617 

326,226 

46.425 

2,578 



210,458 
463.846 



American 
Indian 



Alaskan 

Native 



674,304 



409,534 
46,729 
187,615 

7,732 

58,908 
104.880 
83,367 

50.155 

54,156 

568,430 

7,899 

36,039 

1,156,739 

3.30,085 

515,305 

341,619 

15,100 

1,370.601 

4.342 



237,535 

26,871 

91,109 

4,048 

46,123 
42,575 
63,436 

35,825 

14,394 

408.993 

7.235 

17.925 
119,168 

43.082 
116.799 
194,897 

1 1.551 

807,089 

7,049 



Asian 



Pacific 
Islander 



97,046 



109 

220 

382 

2,810 

1,771 

8.478 

662 

53 



3.521 
10.964 



14,485 



7,182 

352 

862 

38 

458 

1.574 

646 

466 

702 

3.029 

33 

574 
13.677 

9. 1 34 

15,141 

6.688 

499 

21,486 

20 



67.275 



'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, larccny-lhefl. motor vehicle Ihcfl. and arson 
•Includes arson. 



1 1 I 

201 

552 

2,199 

1.266 

8.478 

849 

37 



3.063 
10.630 



I 3.693 



Percent distribution' 



4,009 
591 
835 
100 

542 

952 

1,347 

780 

514 
3,993 
1,029 
1,411 
9.610 

2.596 
1.749 
2.033 

77 
21,381 

33 



Total 



100.0 



1 00.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



100.0 
100.0 



100.0 



100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 

100.0 

100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
1 00.0 
100.0 



White 



67.0 



42.9 
52.2 
34.4 
58.2 
62.2 
61.6 
55.6 
67.8 



51.9 
61.2 



58.7 



62.2 
62.7 
66.9 
64.9 

55.6 
69.9 
56.0 

57.5 

77.6 
57.7 
48.8 
64.4 
89.0 

85.8 
79.4 
62.7 
55.5 
61.7 
37.9 



Black 



31.3 



American 
Indian 



Alaskan 
Native 



55.7 
46.2 
64.7 
40.1 
36.6 
36.5 
43.0 
31.1 



46.6 

37.1 



.39.6 



36.1 
36.0 
32.5 
34.0 

43.5 
28.4 
42.6 

41.1 

20.6 
41.5 
44.7 
32.0 
9.2 

11.2 
18.0 
35.7 
42.4 
36.3 
61.6 



1.1 
.5 
.3 
.3 

.4 
1.0 
.4 



1.0 



I.O 
1.1 

2.4 
2.3 
1.2 
1.8 
1.0 
.2 



Pacific 
Islander 



.6 
.8 
.3 
.8 

.5 
.6 
.9 



.7 

.4 

6.4 

2.5 

.7 

.7 
.3 
.4 
.3 
1.0 
.3 



192 



Table 39.— City Arrest Irends, 1988-1989 

|6.;i-' agencies; \')»^ estimated population i:5,H.ll,OI)0| 



Oflcnsc chained 



TOTAL 



Murder and nonncgligeni manslaughter 

Foa-ihle rape 

Rohber> 

Aggravated assault 

Burglar> 

Larceny-theft 

Motor vehicle theft 

Arson 



Violent crime' . 
Property crime^ 



Crime Index total' 



Other assaults 

Forger) and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, possessing 

Vandalism 

Weapons; carrying, possessing, etc 



Prostitution and commercial 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 total) ... 
Curfew and loitering law violations 
Runaways 



Number of persons arrested 



Total all ages 



1988 



7.667,523 



12,6.17 
21.825 
101,675 
2."t6,102 
245,574 
960,115 
126,5-M 
10,601 



1989 



8.II4.2S2 



13,514 
21,68.1 
112,801 
257,810 
252,324 
997,119 
141.303 
10,065 



372.2.39 
1.. 342.824 



1,715.063 



76,884 

58,172 

672,895 

15.392 

24,306 

763,741 

359,598 

490,168 

493,598 

25,010 

1,699,689 

9,582 

62.882 

90,888 



405,808 
1,400,811 



1,806,619 



Percent 
change 



+5,8 



+6.9 

-.7 
+ 10.9 
+9.2 
+2.7 
+3.9 
+ 11.7 
-5.1 



+9.0 

+4.3 



529.044 


573.632 


52.432 


53.631 


130.185 


140.865 


7.164 


7.911 


95.927 


103.934 


174.155 


182.582 


1 30.330 


137.712 



78.562 

58.512 

797.166 

13.313 

27.728 
761.089 

371.788 

492.710 

523.377 

25.251 

1.805.826 

8.752 

59.223 

92.821 



+5.3 



Under 18 years of age 



1988 



1,. 3.39,6 1 2 



+8.4 
+2.3 
+8.2 
+ 10.4 
+8.3 
+4.8 
+5.7 

+2.2 

+.6 
+ 18.5 
-13.5 
+ 14.1 

-.3 

+3.4 
+.5 
+6.0 
+ 1.0 
+6.2 
-8.7 
-5.8 
+2.1 



1.540 

3.368 

22.985 

32.256 

82.654 

295.029 

52.412 

4.785 



'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 I percent. 



60.149 
434.880 



495.029 



1989 



I. .370,2 17 



80.950 
4.852 
10.747 
754 
25.423 
70.616 
23.429 

1.353 

9.604 

65.894 

715 

1,534 
1 1 .08 1 

91,075 
14,639 
77.079 

1,882 
199,186 

1,711 
62,882 
90,888 



1,858 

3,501 

27,478 

37,191 

80,707 

294.531 

59,605 

4,697 



70,028 
439,540 



509,568 



Percent 
change 



+2,3 



91,102 

4,596 

7,737 

934 

27,443 

73,409 

26,214 

1,127 

9,661 

72.521 

750 

1.511 

9.434 

84.729 
13.288 
82.750 

1.762 
199.637 

1.366 
59.223 
92.821 



+20.6 
+3.9 

+ 19.5 

+ 15.3 

-2.4 

_ 2 

+ 13.7 
-1.8 



+ 16.4 
+ 1.1 



18 years of age and over 



1988 



6,327,911 



11.097 

18.457 

78.690 

203,846 

162.920 

665,086 

74.122 

5.816 



+2.9 



+ 12.5 
-5.3 

-28.0 

+23.9 
+7.9 
+4.0 

+ 11.9 

-16.7 

+.6 

+ 10.1 

+4.9 

-1.5 

-14.9 

-7.0 
-9.2 
+ 7.4 
-6.4 
+.2 
-20.2 
-5.8 
+2.1 



312.090 
907,944 



1989 



6,744,035 



11,656 

18.182 

85,323 

220,619 

171,617 

702,588 

81,698 

5,368 



335,780 
961,271 



1.220,034 



448,094 
47,580 

119,438 

6,410 

70,504 

103,539 

106,901 

75,531 

48,568 

607,001 

14,677 

22,772 

752,660 

268,523 

475,529 

416,519 

23,128 

1,500,503 

7,871 



1.297.051 



482,530 
49,035 
133,128 
6,977 
76,491 
109,173 
111.498 

77.435 

48.851 

724,645 

12,563 

26.217 

751.655 

287.059 

479.422 

440.627 

23.489 

1.606,189 

7,386 



Percent 
change 



+6,6 



+5.0 
-1.5 
+8.4 
+8.2 
+5.3 
+5.6 
+ 10.2 
-7.7 



+7.6 
+ 5.9 



+6.3 



+7.7 
+3.1 
+ 11.5 
+8.8 
+8.5 
+5.4 
+4.3 

+2.5 

+.6 
+ 19.4 
-14.4 
+ 15.1 

-.1 

+6.9 
+.8 
+5.8 
+ 1.6 
+7.0 
-6.2 



193 



lablc 40.— City Arrest Trends, Sex, 1988-1989 

16.213 agencies; 1989 estimated population 125,831,000] 





Males 


Females 


Offense charged 


Total 


Under 18 


Total 


Under 18 




19SS 


1989 


Percent 
change 


1988 


1989 


Percent 
change 


1988 


1989 


Percent 
change 


1988 


1989 


Percent 
change 


TOTAL 


6,292.714 


6,631,971 


+5.4 


1,048,333 


1,071,899 


+2.2 


1.374,809 


1,482,281 


+7.8 


291,279 


298,318 


+2,4 


Murder and nonnegligent 


1 1.171 

21.567 

93.065 

203,402 

224,572 

664,824 

114.161 

9.201 


1 1 .980 
21,448 
103,107 
222,279 
229.174 
690,347 
126.881 
8.659 


+ 7.2 
-.6 

+ 10.8 
+9.3 
+2.0 
+3.8 

+ 11.1 
-5.9 


1.445 

3,303 

21,252 

27,195 

76.462 

216.184 

47,290 

4,345 


1,745 

3,427 

25,156 

31,635 

74,151 

214,492 

53.629 

4,234 


+20.8 
+ 3.8 

+ 18,4 

+ 16.3 

-3.0 

-.8 

+ 13.4 
-2.6 


1.466 

258 

8.610 

32.700 

21.002 

295.291 

12.373 

1.400 


1,534 

235 

9,694 

35,531 

23,150 

306,772 

14,422 

1.406 


+4.6 

-8.9 
+ 12.6 

+8.7 
+ 10.2 

+3.9 

+ 16.6 

^.4 


95 

65 

1,733 

5.061 

6,192 

78,845 

5,122 

440 


113 

74 

2,322 

5,556 

6,556 

80,039 

5,976 

463 


+ 18.9 


Forcible rape 

Robbery 


+ 13.8 

+ 34.0 

+9.8 




+5.9 


Larceny-theft 


+ 1.5 
+ 16.7 


Arson 


+5.2 




329,205 
1,012,758 


358.814 
1,055,061 


+9.0 

+4.2 


53,195 
344,281 


61.963 
346,506 


+ 16.5 
+.6 


43,034 
3.30,066 


46,994 
345,750 


+9.2 
+4.8 


6,954 
90.599 


8,065 
93,034 


+ 16.0 




+2.7 






Crime Index total' 


1,341,963 


1.413,875 


+5.4 


397,476 


408,469 


+ 2.8 


373,100 


392,744 


+5.3 


97.553 


101,099 


+ 3.6 




448,652 

34,632 

77,246 

4,261 

84,665 
155,107 
119,942 

25,276 

53,343 

570,852 

13,102 

18,1 19 

668,208 

294,470 

444.776 

401,171 

22 223 

1,427,969 

8,119 

47,078 

39.659 


483,296 

35,390 

81,437 

4,577 

91,670 
162,223 
126,845 

23,955 

53,609 

668,628 

11,374 

20,637 

663,003 

302,430 

444,917 

425,894 

22,538 

1,511,185 

7,362 

44.099 

40,389 


+7.7 
+2.2 
+5.4 
+7.4 

+8.3 
+4.6 
+5.8 

-5.2 

+.5 
+ 17.1 
-13.2 
+ 13.9 

-.8 

+2.7 
(4) 
+6.2 
+ 1.4 
+ 5.8 
-9.3 
-6.3 
+ 1.8 


62.188 

3,284 

8,164 

417 

23,101 
64,343 
21.801 

494 

8.932 

58,104 

677 

929 

9,573 

66,859 
12,326 
62,567 

1,587 
158,774 

1 ,407 
47,078 
39,659 


70,140 

3,124 

5,553 

492 

24,987 
66,747 
24,449 

468 

8,962 

64,571 

729 

933 

8.098 

61.560 
11.041 
66.733 

1.498 
158.857 

1.108 
44,099 
40,389 


+ 12.8 

-4.9 

-32.0 

+ 18.0 

+8.2 

+ 3.7 

+ 12.1 

-5.3 

+.3 

+ 11.1 

+7.7 

+ .4 
-15.4 

-7.9 

-10.4 

+6.7 

-5,6 

+ .1 

-21,3 

-6.3 

+ 1.8 


80,392 

17,800 

52,939 

2,903 

11,262 
19,048 
10,388 

51.608 

4,829 

102,043 

2.290 

6,187 

95,533 

65,128 

45,392 

92,427 

2,787 

271.720 

1.463 

1 5.804 

51,229 


90,336 

18,241 

59,428 

3,334 

12,264 
20,359 
10,867 

54.607 

4,903 

128,538 

1,939 

7,091 

98,086 

69.358 

47.793 

97,483 

2,713 

294,641 

1,390 

15.124 

52.432 


+ 12.4 

+2.5 

+ 12.3 

+ 14.8 

+8.9 
+6.9 
+4.6 

+5.8 

+ 1.5 
+26.0 
-15.3 
+ 14.6 

+2.7 

+6.5 
+5.3 
+5.5 
-2.7 
+8.4 
-5.0 
-4.3 
+2.3 


18.762 

1,568 

2,583 

337 

2,322 
6,273 
1,628 

859 

672 

7,790 

38 

605 
1.508 

24.216 

2,313 

14,512 

295 

40,412 

304 

1 5,804 

51,229 


20,962 

1,472 

2,184 

442 

2,456 
6,662 
1,765 

659 

699 

7,950 

21 

578 
1.336 

23.169 
2,247 
16,017 

264 
40.780 

258 
15,124 
52,432 


+ 11.7 


Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receivmg. 


-6.1 

-15.4 
+31.2 

+5.8 




+6.2 


Weapons; carrying, possessing, etc. . . . 

Prostitution and commercialized vice . 
Sex offenses (except forcible rape and 
prostitution) 


+8.4 

-23.3 

+4.0 


Drug abuse violations 

Gambling 

Offenses against family and children . 


+2,1 
-44,7 

-4.5 
-11.4 


Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) 

Suspicion (not included in totals) 

Curfew and loitering law violations ... 
Runaways 


-4.3 

-2.9 

+ 10.4 

-10,5 

+.9 

-15.1 

-4.3 

+2.3 



'Violent tnmcs are offenses of murder, forcible rape, robbery, and aggravaled assault. 
^Properly crimes are offenses of burglai^. larceny-tlieft, motor vehicle theft, and arson, 
'Includes arson. 
*Lcss than one-tenth of I percent. 



194 



Table 41.— Citj ,\rrcsts, Dislributiun by Aro. 1989 

|7,232 agencies; 1989 esiimated populalion 138,070,00(1) 





Total 
all a^es 


.•\ges 

under 

15 


Ages 

under 

18 


Ages 

18 and 

over 


Age 


OlTcnsc charged 


Under 
10 


10-12 


13-14 


15 


16 


17 


18 


19 


20 


lOIAl 


8,779.'»29 
100.0 


507.1 10 
5.8 


1,479.3.HI 
16.8 


7..3(HI,599 
83.2 


40.924 

,5 


127,596 
1.5 


3.38,590 
3,9 


268,718 
3.1 


324.459 

3,7 


379,043 
4,3 


440.996 
5,0 


433.503 
4.9 


394,232 
4,5 






Murder and nonegligent manslaughter 


14.214 

23.262 

119.961 

281.039 

270.255 

1.072.944 

150.201 

10.865 


253 

1.357 

8.426 

12.163 

35.170 

145.7.30 

17.477 

3.510 


1.937 

3.735 

28.685 

40.209 

86.557 

316.032 

63.256 

5.036 


12.277 

19,527 

91,276 

240,8.30 

183.698 

756.912 

86.945 

5.829 


12 

79 

282 

813 

3,335 

1.3.285 

255 

870 


18 
313 
1.789 
2.850 
9.709 
45.466 
2,.309 
1,077 


223 

965 

6,355 

8,500 

22,126 

86.979 

14.913 

1.563 


333 

727 

5,774 

7,311 

15,666 

53,948 

14,839 

623 


548 

794 

7,014 

9,564 

17,658 

57,594 

16,139 

491 


803 

857 

7.471 

11.171 

18.063 

58,760 

14,801 

412 


943 

992 

8,010 

12,057 

18,350 

57,190 

11,955 

375 


985 

959 

7.373 

11.609 

14,809 

48,215 

9,061 

.322 


799 
909 


Robbcr> 


6,245 
11,031 


Burj.lar> 


12.001 
39.472 




6.753 




331 






Violent crime^ 

Percent distribution' 

Property crime^ 


438.476 

100.0 

1.504.265 

100,0 


22.199 

5.1 

201,887 

13,4 


74.566 

17,0 

470.881 

31.3 


36.3,910 

83,0 

1.033.384 

68,7 


1.186 

.3 

17.745 

1,2 


4,970 

1.1 

58.561 

3.9 


16.043 

3.7 

125,581 

8,3 


14,145 

3,2 

85,076 

5.7 


17,920 
4.1 

91.882 
6,1 


20,302 
4.6 

92.036 
6.1 


22,002 
5.0 

87.870 
5.8 


20.926 
4.8 

72.407 
4.8 


18,984 
4,3 

58,557 
3.9 






Crime Index total* 


1.942.741 
100.0 


224,086 
11.5 


545.447 
28.1 


1.397.294 
71,9 


18.931 
1.0 


63.531 
3.3 


141,624 
7.3 


99.221 
5.1 


109.802 

5.7 


112.338 
5.8 


109.872 

5.7 


93,333 
4.8 


77.541 
4.0 






Forger) and counterfeiting 


613.688 

58.907 

158.515 

8.603 

113.159 
198.780 
146.969 

83.816 

62,771 

853,672 

14,016 

.12,164 

833,457 

401,779 

547.515 

573,554 

26.725 

1.930.403 

12.804 

62.272 

103.619 


38.361 

753 

2.645 

118 

8.445 
40.426 

7.275 

131 

5,258 

10.815 

144 

649 

267 

7.950 

1.738 

27.195 

586 

65,514 

763 

18,550 

45.441 


96,820 

5,053 

8,001 

968 

30,116 
79,044 
27,779 

1,215 

10,3.36 
77.539 

797 

1.870 

10.435 

92.617 

14,859 

90.981 

1.869 

215.497 

2.196 

62.272 

103.619 


516,868 

53,854 

150.514 

7.635 

83.043 
119.736 
119.190 

82.601 

52.435 

776.133 

13.219 

30.294 

823,022 

309.162 
532.656 
482.573 

24.856 
1,714,906 

10,608 


2.871 

31 

76 

6 

366 

6.115 

344 

8 

559 
216 

10 
150 

89 

141 

95 

1.902 

24 

6.519 

107 

532 

1.832 


10.865 

142 

410 

43 

1,675 

12,780 

1,436 

16 

1,503 

1,118 

11 

109 

24 

666 

178 
6,599 

119 
14,819 

159 
3,163 
8,230 


24.625 

580 

2.159 

69 

6,404 

21.531 

5.495 

107 

3.196 

9.481 

123 

390 

154 

7.143 

1.465 

18.694 

443 

44.176 

497 

14.855 

35.379 


17,361 

792 

2,219 

78 

5,936 

12,744 
5,119 

132 

1.701 

13,346 

162 

421 

447 

12,414 
2,184 
16,091 

382 
37,122 

397 
14,003 
26,446 


19,218 

1,335 

1,157 

243 

7,166 
12,544 
6,840 

307 

1,652 

22,018 

209 

392 

2.552 

26.559 

3.794 

20.697 

398 
48,734 

449 
16,369 
22,024 


21,880 

2,173 

1,980 

529 

8.569 
13,330 

8,545 

645 

1,725 
31,360 

282 

408 

7,169 

45,694 

7,143 

26,998 

503 

64,127 

587 

13,350 

9,708 


22.767 

3.232 

4,119 

583 

9.262 
11,608 
9,651 

1,846 

1,809 

44,642 

370 

1,157 
18,533 

67,875 
14,134 
31,530 
1,067 
86..344 
595 


23.283 

3.168 

5,719 

597 

7,619 
9,682 
8,825 

3.013 

1,936 

45,769 

356 

998 

24,937 

63,282 
15,751 
29,741 

990 
93,933 

571 


22.940 
3,129 
6,559 




494 




6,000 


Weapons: carrying, possessing, etc 


7,708 
7,212 

3.725 




1.964 


Drug abuse violations 


43.139 
285 




1,119 


Drning under the influence 

Liquor laws 

Drunkenness 


28,090 

48,647 
16,230 


Disorderly conduct 


27.309 
911 




90,713 




517 


Curfew and loitering law violations 

Runaways - 













See footnotes at end of table. 



195 



Table 41. — City Arrests, Distribution by Age, 1989 — Continued 





Age 


OfTensc charged 


21 


22 


23 


24 


25-29 


30-34 


35-39 


40-44 


45-49 


50-54 


55-59 


60-64 


65 and 
over 


TOTAL 


368.384 

4.2 


349,207 
4.0 


341,597 
3.9 


347,144 
4.0 


1,588,453 
18.1 


1,211,879 
13.8 


773,531 
8.8 


442,608 
5.0 


246,952 

2.8 


144,233 
1.6 


92.648 
1.1 


60,170 

.7 


65,062 

.7 






Murder and nonnegligenl manslaughter .... 

Forcible rape 

Robbery 


734 

910 

5.840 

11.030 

10,526 

35,725 

5.881 

242 


683 

947 

5.502 

10.873 

9.628 

33,006 

5.038 

255 


660 

884 

5.335 

11.042 

9.393 

31.725 

4,586 

255 


619 

936 

5.116 

11.440 

9,446 

31,965 

4,349 

290 


2.437 

4.505 

22.230 

54.433 

41.428 

151.183 

17.389 

1.110 


1.662 

3.495 

13.972 

42.964 

29.298 

125,463 

11,195 

954 


1.093 

2.198 

6.879 

27.573 

16,200 

83,898 

5,941 

662 


694 

1.249 

2.769 

15.851 

6.966 

46,678 

2,677 

437 


362 

654 

1.131 

8,933 

2,980 

25,302 

1,095 

237 


206 

367 

434 

4,964 

1,291 

15,501 

518 

142 


151 

229 

223 

3.038 

638 

10.881 

253 

91 


114 

139 

86 

1.927 

349 

8.471 

115 

66 


135 
154 
131 




2,065 


Burglary 

Larceny-lheft 


395 

12.237 

139 


Arson 


60 




18.514 
4.2 

52,374 
3.5 


18.005 
4.1 

47,927 
3.2 


17.921 
4.1 

45,959 
3.1 


18.111 
4.1 

46,050 
3.1 


83.605 

19.1 

211,110 

14.0 


62,093 

14.2 

166.910 

11.1 


37,743 

8.6 

106.701 

7.1 


20,563 
4.7 

56.758 
3.8 


11,080 
2.5 

29,614 
2.0 


5,971 

1.4 

17,452 

1.2 


3.641 

.8 

11.863 

.8 


2.266 
.5 

9.001 
.6 


2,485 




.6 




12,831 




.9 








70,888 
3,6 


65,932 
3.4 


63,880 
3.3 


64.161 
3.3 


294.715 
15.2 


229.003 
11.8 


144.444 
7.4 


77.321 
4.0 


40,694 
2.1 


23,423 
1.2 


15,504 
.8 


11,267 
.6 


15,316 


Percent distribution' 


.8 






Forgery and counterfeiting 

Fraud 

Embezzlement 


24.536 
2,903 
6.983 

454 

5.276 
7.278 
6.909 

4.035 

1.953 

42.258 

319 

1.347 
36.422 

15,212 
20.122 
29.323 

796 
90.869 

501 


24,846 

2.676 

7.053 

421 

4,723 
6,762 
6.293 

4.316 

1.974 

41.074 

289 

1.362 
35.979 

11.148 
19,336 
26,587 

768 
87.170 

498 


25.270 
2.718 
7.308 

377 

4,039 
6,358 
5.931 

4,956 

2.058 

40.901 

314 

1,355 
36,447 

9,071 
19,252 
24.557 

831 
85.474 

500 


26.796 

2.637 

7,643 

443 

3,970 
6,161 

5.682 

5.187 

2.165 

41,372 

273 

1.402 
38.447 

7.877 
20,142 
24,881 

854 
86,511 

540 


1 

124.963 

12.825 

35.265 

1.566 

16,204 
26.329 
24,132 

24,815 

10,945 

191,917 

1.637 

6.970 

185.733 

29.935 
101.475 
104.788 

4.654 
386.927 

2.658 


94.439 
9.875 

28.051 
1,076 

11,896 
17.510 

17.192 

16.419 

9.116 

139.681 

1.659 

6.003 

145.535 

19.679 
93.302 
75.451 

4.598 
289.427 

1.967 


57.406 
5.687 
18,817 

731 

6.977 
9,878 
10,968 

7,694 

6,402 

80,120 

1.550 

3.994 

98.356 

13.073 

71.253 

46.048 

3.615 

185.328 

1.190 


31.729 

2.701 

11.152 

418 

3,575 
5,046 
6.721 

3.161 

4.314 

37.061 

1.377 

2.199 

66.037 

8.549 

48.558 

26.653 

2,300 

103.136 

600 


16,744 

1.227 

5.551 

204 

1,767 
2,451 
3,887 

1.588 

2.756 

15,543 

1,292 

1,116 

42,235 

5,556 
32,586 
14,597 

1,495 

55,421 

242 


9.046 
522 

2.748 
144 

782 
1.245 
2.311 

739 

1.739 

6.577 

1.111 

571 

26.686 

3.602 

22.470 

8.626 

871 

30.920 

100 


5,296 

248 

1,522 

67 

445 
704 

1.477 

456 

1,277 

3,263 

907 

308 

17,804 

2,487 
16,560 
5,267 
583 
18,399 
74 


3.216 

202 

888 

33 

261 
465 
986 

322 

907 

1.505 

684 

192 

11.434 

1.659 

11.077 

3.393 

291 

11.363 

25 


3,591 

104 

1.136 

27 

247 




551 




1,013 


Prostitution and commercialized vice 


329 
1,120 


Drug abuse violations 


1,311 


Cjambling 

Offenses against family and children 

Driving under the influence 


796 

201 

10,347 

1,510 




10,408 




3.822 


Vagrancy 

All other offenses (except traffic) 


232 
12,971 


Suspicion 

Curlew and loitering law violations 

Runaways 


30 







'Because of rounding, the percentages may not add to total. 

^Violent crimes arc offenses of murder, forcible rape, robbery, and aggravated assault, 
^Properly crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 
^Includes arson. 



196 



Table 42.— City Arrests of Persons under 15. 18, 21, and 25 Years of Age, 198<) 

|7.232 agencies: 1989 cslimalcd populalion 138,070,0001 





Tolal all 
ages 


Number of pi 


rsons arrestee 




Percent of total all ages 


Oflcnsc charged 


Under 15 


Under 18 


Under 21 


Under 25 


Under 
15 


Under 
18 


Under 
21 


Under 

25 


TOTAL 


8,779.929 


507,110 


1.479,3.30 


2,748.061 


4.154..393 


5,8 


16.8 


31.3 


47.3 








14,214 

23,262 

119,961 

281.039 

270.255 

1.072,944 

150.201 

10.865 


253 

1,357 

8,426 

12,163 

35,170 

145,7.30 

17,477 

3,510 


1.937 

3.735 

28,685 

40.209 

86.557 

316.032 

63.256 

5,036 


4,664 

6,595 

50,313 

74,906 

131,717 

460,909 

91.025 

6.064 


7.360 

10.272 

72.106 

119,291 

170,710 

593.330 

110.879 

7.106 


1,8 

5.8 

7.0 

4.3 

13.0 

13.6 

11.6 

32.3 


13.6 
16.1 
23.9 
14,3 
32.0 
29.5 
42.1 
46,4 


32.8 
28.4 
41.9 
26.7 
48.7 
43.0 
60.6 
55.8 


51.8 




44.2 


Rohbcrv 


60.1 


Aggra\ aied assault 


42.4 
63.2 


Larceny-theft 


55.3 
73.8 




65.4 








438,476 
1,504,265 


22,199 
201,887 


74,566 
470,881 


136.478 
689.715 


209.029 
882.025 


5.1 
13.4 


17.0 
31.3 


31.1 
45.9 


47.7 




58.6 








1,942.741 


224.086 


545.447 


826.193 


1.091,054 


11.5 


28.1 


42.5 


56.2 








613,688 
58,907 
158.515 
8.603 
113.159 
198,780 
146,969 

83.816 
62.771 

853,672 
14,016 
32,164 

833,457 

401,779 

547,515 

573,554 

26,725 

1,930,403 

12,804 

62,272 

103,619 


38.361 

753 

2.645 

118 

8.445 

40,426 

7,275 

131 
5,258 
10,815 
144 
649 
267 

7,950 

1,738 

27,195 

586 

65,514 

763 

18,550 

45.441 


96.820 

5.053 

8,001 

968 

30,116 

79,044 

27,779 

1,215 

10.336 

77.539 

797 

1,870 
10,435 

92.617 

14.859 

90,981 

1,869 

215,497 

2,196 

62,272 

103,619 


165.810 

14.582 

24,398 

2,642 

52,997 

108,042 
53,467 

9,799 

16,045 

211,089 

1,808 

5.144 

81,995 

272,421 

60,974 

179,561 

4.837 

486.487 

3.879 

62.272 

103.619 


267.258 

25.516 

53.385 

4.337 

71,005 

134.601 
78.282 

28.293 
24.195 

376.694 
3.003 
10.610 

229,290 

315.729 
139.826 
284.909 

8.086 
836.511 

5.918 
62.272 
103.619 


6.3 
1.3 
1.7 
1.4 
7.5 
20.3 
5.0 

8.4 
1.3 
1.0 
2.0 
(4) 

2.0 

.3 

4.7 

2.2 

3.4 

6.0 

29.8 

43.9 


15.8 
8.6 
5.0 
11.3 
26.6 
39.8 
18.9 

1.4 
16.5 
9.1 
5.7 
5.8 
1.3 

23.1 

2.7 

15.9 

7,0 

11.2 

17.2 

100.0 

100.0 


27.0 
24.8 
15.4 
30.7 
46.8 
54.4 
36.4 

11.7 
25.6 
24.7 
12.9 
16.0 
9.8 

67.8 
II. 1 

31.3 
18.1 
25.2 
30.3 
100.0 
100.0 


43.5 




43.3 




33.7 


Embezzlement 

Stolen property; buying, receiving, possessing 


50.4 
62.7 
67.7 




53.3 




33.8 


Sex offenses (except forcible rape and prostitution) ... 


38.5 
44.1 




21.4 




33.0 




27.5 




78.6 


Drunkenness 

Disorderly conduct 


25.5 
49.7 
30.3 




43.3 




46.2 




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. 



197 



Table 43.— City Arrests, Distribution by Sex, 1989 

[7,232 agencies; I9S9 estimated population 138,070.000) 



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 

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 



8,779,929 



14,214 

2.3.262 

119,961 

281.039 

270.255 

1,072.944 

150,201 

10.865 



438,476 
1.504,265 



1,942,741 



613.688 
58.907 
158.515 
8,603 
113,159 
198,780 
146.969 

83,816 
62.771 

853.672 
14.016 
32.164 

833,457 

401,779 

547,515 

573,554 

26,725 

1,9.30,403 

12,804 

62,272 

103,619 



7,169,870 



1,610,059 



81.7 



18.3 



12.587 
23,005 
109,635 
242.149 
245,868 
741.515 
134.989 
9,347 



1,627 

257 

10,326 

38,890 

24.387 

331.429 

15,212 

1,518 



88.6 
98.9 
91.4 
86.2 
91.0 
69.1 
89.9 
86.0 



11.4 

1,1 

8.6 

13,8 

9.0 

30.9 

10,1 

14.0 



,3 
1.4 
3.2 
3.1 
12,2 
1,7 

,1 



387,376 
1,131,719 



51.100 
372,546 



88.3 
75.2 



11.7 
24.8 



5.0 
17.1 



1,519,095 



423.646 



78.2 



22.1 



517,343 
38.846 
90,325 
5.032 
99,831 
176,597 
135.302 

25,758 
57.477 

716,386 
12,028 
24,287 

726.260 

326.287 

494.023 

466.398 

23.295 

1,613,250 

10.797 

46.314 

44.939 



96,345 
20,061 
68,190 
3,571 
13,328 
22,183 
11,667 

58,058 
5,294 

137,286 
1,988 
7.877 

107,197 

75.492 

53,492 

107,156 

3,430 

317,153 

2.007 

15.958 

58.680 



84.3 
65,9 
57.0 
58.5 
88.2 
88.8 
92.1 

.30.7 
91.6 
83.9 
85.8 

75.5 
87.1 

81,2 
90,2 
81,3 
87,2 
83.6 
84.3 
74,4 
43.4 



15.7 


7.0 


.34.1 


.7 


43.0 


1.8 


41.5 


.1 


11.8 


1.3 


11.2 


2,3 


7.9 


1.7 


69,3 


1.0 


8.4 


.7 


16,1 


9,7 


14.2 


.2 


24,5 


,4 


12.9 


9.5 


18,8 


4.6 


9,8 


6.2 


18,7 


6.5 


12.8 


,3 


16.4 


22,0 


15.7 


,1 


25.6 


.7 


56.6 


1,2 



100.0 



,3 
1.5 
3.4 
3.4 
10.3 
1,9 

.1 



5.4 
15.8 



21.2 



7.2 
,5 
1.3 
.1 
1.4 
2.5 
1.9 



10.0 



10 1 

4.6 

6.9 

6.5 

,3 

22.5 



100.0 ' 



.1 

(2) 
,6 
2,4 
1.5 
20,6 
,9 
.1 



3.2 
23.1 



26.3 



6.0 
1,2 
4.2 



1.4 

.7 

3.6 

.3 

8.5 

.1 

.5 

6,7 

4.7 
3.3 
6.7 

■) 

19.7 
.1 

1.0 
3.6 



'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. 



198 



Table 44. — City Arrests. Distribution b> Race. 1989 

(7.:: I agencies, I^S"* cslimaial r"r"IJii>'n I .'7.8.1«.(HHI| 



OITense charged 



Total arrests 



Total 



White 



Black 



American 
Indian 



Alaskan 
Native 



Pacific 
Islander 



Percent distribution' 



Total 



While 



Black 



American 
Indian 



Alaskan 
Native 



Pacific 
Islander 



TOTAL 

Murder and nonnegligent manslaughter 

Forcible rape 

Robber> 

Aggravated assault 

Burglar> 

Larcenv -theft 

Motor vehicle theft 

Arson 

Violent crime^ 

Properly crime' 

Crime Index total* 

Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving. 

possessing 

Vandalism 

Weapons; carrying, possessing, etc. 

Prostitution and commercialized vice . 
Sex olTenses (except forcible rape and 

prostitution) 

Drug abuse violations 

Gambling 

Offenses against family and children . 
Driving under the inftuence 

Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) 

Suspicion 

Curfew and loitering law violations . . . 
Runaways 



8,765,63.1 



14.196 

2.1.215 

119.855 

280.450 

269.822 

1.071.489 

1 50.090 

10.840 



437.716 
1.502.241 



1.939,957 



612.933 

58.785 

158.420 

8.568 

112.909 
198.319 
146,735 

83.809 

62.706 

852.852 

1 3.999 

3 1 .909 

831.744 

400,878 

546,044 

572.899 

26.700 

1.927,528 

12,788 

62.113 

103.038 



5,615,929 



2,982,702 



89.093 



77,909 



M.O 



4,945 

10,614 

38.752 

150.337 

166.779 

676.852 

77.537 

7.665 



9.061 

12.221 

79.821 

125.759 

98.593 

369.681 

69.395 

3,028 



64 

173 

410 

2,067 

1,912 

11.770 

1,107 

79 



126 

207 

872 

2.287 

2.538 

13.186 

2.051 

68 



100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100,0 



34.8 
45,7 
32.3 
53.6 
61.8 
63,2 
51,7 
70,7 



63,8 
52.6 
66.6 
44.8 
.16.5 
34.5 
46.2 
27.9 



204,648 
928,833 



226,862 
540.697 



2.714 
14.868 



3,492 

17,843 



100.0 
100.0 



46.; 

61. i 



51,8 
36.0 



1,133,481 



767,559 



17,582 



21,335 



100.0 



58.4 



39.6 



356.375 

36.220 

101.343 

5,519 

58,360 

140,391 

76,625 

47,540 

45.550 

454.150 

5.826 

19.991 

727.159 

.146,435 

424.757 

348.254 

1 5.073 

1,141,102 

5,209 

45.042 

81.527 



245.518 

21.718 

55.818 

2.941 

53.251 

54,389 
67.951 

35.067 

16,027 

392,674 

7,167 

10,122 

88,568 

42.032 
106.940 
216,328 

1 1 ,036 

745.910 

7,498 

15.699 

18.489 



6.266 

284 

464 

29 

492 

1.805 

589 

446 

587 

2.228 

10 

441 
9,019 

9,763 

12,846 

6.017 

506 

18.058 

26 

470 

1.165 



4.774 

563 

795 

79 

806 
1.734 
1,570 

756 

542 
3,800 

996 
1.355 
6.998 

2,648 

1,501 

2,300 

85 

22,458 

55 

902 

1.857 



100.0 
100.0 
100.0 
100,0 

100,0 
100,0 
100,0 

100.0 

100.0 
100.0 
100.0 
100.0 

1 00.0 

100,0 
100,0 
100,0 
100,0 
100,0 
100.0 
100.0 
100,0 



58,1 
61.6 
64.0 
64.4 

51.7 
70.8 
52.2 

56.7 

72.6 
53.3 
41.6 
62.7 
87,4 

86,4 
77,8 
60,8 
56,5 
59.2 
40.7 
72.5 
79,1 



40,1 
36,9 

35,2 
34,3 

47,2 
27.4 
46.3 

41,8 

25.6 
46.0 
51.2 
31.7 
10.6 

10.5 
19.6 

37.8 
41,1 
38.7 
58.6 
25.1 
17.9 



.5 
,7 
,3 
,7 
,7 
1,1 
,7 
,7 



,6 
1,0 



1,0 
,5 
,3 
,3 

,4 
,9 

.4 



,9 
,3 
,1 
1,4 
1,1 

2,4 
2,4 
1,1 
1.9 
,9 



,9 
,9 
.7 
,8 
,9 
1,2 
1,4 
,6 



1,2 



1,0 

,5 
,9 

,7 
,9 
1,1 



,9 

,4 

7,1 

4,2 



,7 
,3 
,4 
,3 

1,2 
,4 

1,5 



See footnotes at end of tabic. 



199 



lable 44. — City Arrests, Distribution by Race, 1989 — Continued 



Offense charged 



Arrests under 1^ 



Total 



White 



Black 



American 
Indian 



Alaskan 
Native 



Asian 



Pacific 
Islander 



Percent distribution' 



Total 



White 



Black 



American 
Indian 



Alaskan 

Native 



PaciTic 
Islander 



TOTAL 

Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 

Violent crime^ 

Property crime^ 

Crime Index total* 

Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, 

possessing 

Vandalism 

Weapons; carrying, possessing, etc 

Prostitution and commercialized vice .. 
Sex offenses (except forcible rape and 

prostitution) 

Drug abuse violations 

Gambling 

Offenses against family and children . . 
Driving under the influence 

Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) 

Suspicion 

Curfew and loitering law violations 

Runaways 



1,476,210 



1.935 

3,732 

28.656 

40, 1 38 

86,408 

3 1 5.665 

63.210 

5,029 



74,461 
470.312 



544.773 



96.594 

5.046 

7,994 

934 

30,088 
78.852 
27,754 

1,215 

10,327 

77.468 

796 

1.861 

10,416 

92,383 

14.842 

90,932 

1,869 

214,725 

2,190 

62,113 

103.038 



992,578 



448,398 



13,562 



21,672 



100.0 



67.2 



30.4 



651 

1.631 

9.084 

20,085 

61.212 

222,910 

32,985 

4,060 



1,248 
2,045 
19.123 
19,380 
23.028 
82.876 
28.293 
887 



9 

20 

84 

261 

669 

4,071 

630 

46 



27 

36 

365 

412 

1.499 

5.808 

1.302 

36 



100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



33.6 
43.7 
31.7 
50.0 
70.8 
70.6 
52.2 
80.7 



64.5 
54.8 
66.7 
48.3 
26.7 
26.3 
44.8 
17.6 



31,451 
321,167 



41,796 
135,084 



374 
5,416 



840 
8.645 



100.0 
100.0 



42.2 
68.3 



56.1 
28.7 



352,618 



176,880 



5,790 



9,485 



100.0 



64.7 



32.5 



54,216 

3,957 

4,606 

687 

15.648 
61,252 
15.344 

644 

6.737 

36.772 

155 

1.312 

9,764 

85,863 
1 3,082 
57,089 

1.448 
143,247 

1.568 
45,042 
81,527 



40,059 

990 

3.195 

230 

1 3.907 
16.148 
1 1 ,9 1 3 

544 

3,440 

39,933 

570 

479 

414 

4,364 

1.377 

32.843 

392 

65.945 

587 

15,699 

18,489 



726 

47 

42 

5 

181 
543 
112 

10 

45 
285 



12 
181 

1.536 

335 

466 

17 

1,582 

12 

470 

1,165 



1,593 

52 

151 

12 

352 
909 
385 

17 

105 

478 
71 
58 

57 

620 

48 

534 

12 

3,951 

23 

902 

1,857 



100.0 
100.0 
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 
100.0 
100.0 
100.0 
100.0 



56.1 

78.4 
57.6 
73.6 

52.0 

77.7 
55.3 

53.0 

65.2 
47.5 
19.5 
70.5 
93.7 

92.9 
88.1 
62.8 
77.5 
66.7 
71.6 
72.5 
79.1 



41.5 
19.6 
40.0 
24.6 

46.2 
20.5 
42,9 

44,8 



33,3 


51.5 


71.6 


25.7 


4.0 


4.7 


9.3 


36.1 


21.0 


.30.7 


26.8 


25.3 


17.9 



.5 
.5 
.3 
.7 
.8 
1.3 
1.0 
.9 



.5 
1.2 



I.I 



.6 

1.7 

1.7 
2.3 
.5 
.9 
.7 
.5 
.8 
I.I 



1.7 



1.6 
1.0 
1.9 
1.3 

1.2 
1.2 
1.4 



1.0 

.6 

8.9 

3.1 

.5 

.7 
.3 
.6 
.6 
1.8 
I.I 
1.5 
1.8 



See footnotes at end of table. 



200 



Table 44. — City Arrests, Distribution bv Race, 1989 — Continued 



Offense charged 



Arresls 18 and over 



Tola I 



While 



Dlaek 



American 
Indian 



Alaskan 

Nalive 



Pacific 
Islander 



I'erccnt dislribulion' 



lolal 



While 



DIack 



American 
Indian 



Alaskan 
Nalive 



Pacific 
Islander 



TOTAL 

Murder and nonnegligent manslaughter 

Forcible rape 

Rohberv 

Aggravated assault 

Burglarv 

Larceny-lheft 

Molor vehicle theft 

Arson 

Violent crime^ 

Property crime' 

Crime Index lolal* 

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 infiuence 

Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except trafTic) 

Suspicion 

Curfew and loitering law violations . . . 
Runaways 



7.289.423 



12.261 

1 9.48. t 

91.199 

240.3 1 2 

18.3.414 

755,824 

86.880 

5.811 



.363.255 
1,031,929 



1,395.184 



516,339 

53,739 

150,426 

7.634 

82.821 
119.467 
118,981 

82.594 

52.379 

775.384 

1 3.203 

30,048 

821.328 

308.495 

531.202 

481.967 

24.831 

1.712.803 

10,598 



4.62.3.351 



2,534.304 



75,531 



56,237 



100.0 



63.4 



34.8 



4.294 

8.983 

29.668 

1.30.252 

105.567 

453.942 

44.552 

3.605 



7.813 

10.176 

60,698 

106,379 

75.565 

286.805 

41.102 

2.141 



55 

153 

326 

1.806 

1,243 

7,699 

477 

33 



99 

171 

507 

1,875 

1,039 

7,378 

749 

32 



100.0 
100,0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



35.0 
46.1 
32.5 
54.2 
57.6 
60.1 
51.3 
62.0 



63.7 
52.2 
66.6 
44.3 
41.2 
37.9 
47.3 
36.8 



173.197 
607,666 



185,066 
405,613 



2,340 
9,452 



2,652 
9,198 



100.0 
100.0 



47.7 
58.9 



50.9 
39.3 



780.863 



590.679 



11.792 



11,850 



100.0 



56.0 



42.3 



302.159 

32.263 

96,737 

4,832 

42,712 
79,139 
61,281 

46,896 

38,813 

417,378 

5,671 

18,679 
717,395 

260,572 
411,675 
291,165 
13,625 
997,855 
3,641 



205,459 

20.728 

52.623 

2.711 

39.344 
38.241 
56.038 

34.523 

12,587 

352,741 

6,597 

9,643 

88.154 

37,668 
105,563 
183,485 

10,644 

679,965 

6,911 



5,540 

237 

422 

24 

311 
1,262 

477 

436 

542 

1 ,943 

10 

429 
8,838 

8,227 

12,511 

5,551 

489 

16,476 

14 



3,181 
511 
644 

67 

454 

825 

1,185 

739 

437 
3,322 

925 
1,297 
6,941 

2,028 
1,453 
1,766 

73 
18,507 

32 



100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 

100.0 

100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



58.5 
60.0 
64.3 
63.3 

51.6 
66.2 
51.5 

56.8 

74.1 
53.8 
43.0 
62.2 
87.3 

84.5 
77.5 
60.4 
54.9 
58.3 
34.4 



39.8 
38.6 
35.0 
35.5 

47.5 
32.0 
47.1 

41.8 

24.0 
45.5 
50.0 
32.1 
10.7 

12.2 
19.9 
38.1 
42.9 
.39.7 
65.2 



1.0 



I.I 
.4 
.3 
.3 

.4 
1.1 

.4 



1.0 
.3 
.1 
1.4 
I.I 

2.7 
2.4 
1.2 
2.0 
1.0 
.1 



.9 
.6 
.8 
.6 
1.0 
.9 
.6 



.6 
1.0 
.4 
.9 

.5 
.7 
1.0 



.4 
7.0 
4.3 



.7 
.3 
.4 
.3 
1.1 
.3 



'Because of rounding, the percentages may nol add lo lolal. 

^Violent crimes arc offenses of murder, forcible rape, robbery, and aggravated assaull. 
^Property crimes are offenses of burglary, larceny-theft, molor vehicle theft, and arson. 
•Includes arson. 



201 



Table 45.— Suburban County Arrest Trends, 1988-1989 

[836 agencies; 1989 estimated population 33.307,000] 



Offense charged 



Number of persons arrested 



Total all ages 



1988 



1989 



Percent 
change 



Under 18 years of age 



1988 



1989 



Percent 
change 



1 8 years of age and over 



1988 



1989 



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 lotaP 

Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, possessing 

Vandalism 

Weapons; carrying, possessing, etc 

Prostitution and commercialized vice 

Sex offenses (except forcible rape and prostitution) 

Drug abuse violations 

Gambling 

Offenses against family and children 

Driving under the influence 

Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) 

Suspicion (not included in totals) 

Curfew and loitering law violations 

Runaways 



1,304,143 



1,432,382 



+9.8 



150,939 



165,214 



+2.7 



1,143,204 



2,149 

3.864 

9.042 

39.991 

46.242 

111.383 

19.322 

2.172 



55.046 
179,119 



234,165 



80,814 
10,233 
64,212 
2,102 
16,462 
24,986 
19,474 

2,956 

11,319 

100,809 

1,687 

15,188 

274.557 

48,468 

59,857 

32.396 

1.772 

284.106 

537 

1.211 

17,369 



2.104 

4.082 

9.515 

44.155 

47.745 

117,421 

21.094 

2,156 



-2.1 
+5.6 
+5.2 
+ 10.4 
+ 3.3 
+ 5.4 
+9.2 
-.7 



153 

503 

1.553 

4,186 

1 5.364 

29,643 

6,500 

828 



157 

562 

1.557 

4,712 

15,322 

30,012 

7.111 

884 



+2.6 

+ 11,7 

+.3 

+ 12.6 

-.3 

+ 1,2 

+9.4 

+6,8 



1,996 

3,361 

7.489 

35.805 

30,878 

81,740 

12.822 

1.344 



59.856 
188.416 



+8.7 

+5.2 



6.395 
52,335 



6,988 
53,329 



+9.3 
+ 1.9 



48.651 
126.784 



248,272 



+6,0 



58.730 



60.317 



+2.7 



175,435 



88,041 
11,015 
68,709 
2,454 
17.990 
27,260 
20,945 

4.084 

1 1,824 

132,661 

1,955 

17,421 

291,856 

49,739 

65,761 

36,042 

1,534 

316,591 

513 

1,465 

16.763 



+8.9 
+7.6 
+7.0 
+ 16.7 
+9.3 
+9.1 
+7.6 

+38.2 
+4.5 
+ 31.6 
+ 15.9 
+ 14.7 
+6.3 

(-26 

+9.9 
+ 11.3 
-13.4 
+ 11.4 

-4.5 
+21.0 

-3.5 



9.629 

612 

692 

91 

3,191 

10,321 

2,354 

100 

1,787 

6,750 

19 

207 

2,757 

13,204 

1,554 

5,494 

388 

24,479 

217 

1,211 

17,369 



10,837 

541 

787 

100 

3,505 

11,090 

2,744 

68 
1,952 
7,985 

56 

190 

2,581 

12,006 
1.611 

5.737 

315 

24.564 

87 

1.465 

16,763 



+ 12.5 

-11,6 

+ 13.7 

+9.9 

+9.8 

+7.5 

+ 16.6 

-32.0 
+9.2 
+ 18.3 
+ 194.7 
-8.2 
-6.4 

-9.1 

+3.7 

+4.4 

-18.8 

+.3 

-59.9 

+21.0 

-3.5 



71,185 
9,621 
63,520 
2,011 
13.271 
14.665 
17,120 

2,856 

9,532 

94,059 

1.668 

14,981 

271,800 

35.264 

58,.303 

26,902 

1.384 

259,627 

320 



,267,168 



1.947 

3,520 

7.958 

39,443 

32,423 

87,409 

13,983 

1,272 



52,868 
1 35,087 



187.955 



77,204 
10,474 
67.922 
2.354 
14,485 
16,170 
18.201 

4,016 
9,872 

124,676 

1.899 

17,231 

289,275 

37,733 

64,150 

30,305 

1.219 

292.027 

426 



+ 10.8 



-2.5 
+4.7 
+6.3 
+ 10.2 
+5.0 
+6.9 
+9.1 
-5.4 



+8.7 
+6.5 



+7.1 



+8.5 
+8.9 
+6.9 

+ 17.1 
+9.1 

+ 10.3 
+6.3 

+40.6 
+3.6 
+32.6 
+ 13.8 
+ 15.0 
+6.4 

+7.0 
+ 10.0 
+ 12.6 
-11.9 
+ 12.5 
+33.1 



'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. 



202 



Table 46— Suburban County ArresI Trends. Sex, 1988-1989 

(83(1 agencies. 1^84 csiimalcd populalion 33.307,0001 



Offense charged 



Males 



Tolal 



1988 



WS") 



Percenl 
change 



Under 18 



1988 



1989 



Percenl 
change 



hcmales 



Total 



1988 



1989 



Percent 
change 



Under 18 



1988 



1989 



Percent 
change 



TOT.VL 

Murder and nonnegligcnt manslaughter 

Forcible rape 

Rohher> 

Aggra^atcd assault 

Burglar> 

Larcen\ -theft 

Motor vehicle theft 

.^rson 

Violent crime' 

Properly crimd 

Crime Index total' 

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 (not included in totals) 

Curfew and loitering law violations ... 
Runawavs 



1.074,262 



1,179,045 



+9.8 



125,584 



1 28,807 



+2.6 



229,881 



253,337 



+ 10.2 



35,355 



36,407 



1,854 

3.807 

8.315 

35,301 

42.245 

78,082 

17.314 

1.893 



49.277 
139.534 



188.811 



68.423 
6.752 

32,120 
1.376 

14.582 
22.426 
18.138 

964 

10.804 

83.732 

1.366 

13.869 

243.738 

38.997 

54.078 

26.544 

1.399 

237.031 

441 

869 

8.243 



1,829 

4.035 

8,719 

39,113 

4.3,826 

82,185 

18,910 

1,889 



-1,3 

+6,0 

+4,9 

+ 10,8 

+3.7 
+5.3 
+9,2 



144 

490 

1.453 

3.672 

14.194 

22.349 

5.793 

755 



146 

550 

1.422 

4.117 

14.136 

22,624 

6,. 300 

798 



+ 1,4 

+ 12,2 

-2,1 

+ 12,1 

-,4 

+ 1,2 

+8,8 

+ 5,7 



295 

57 

727 

4.690 

3.997 

33..301 

2.008 

279 



275 

47 

796 

5,042 

3.919 

35.236 

2.184 

267 



-6,8 
-17,5 
+9,5 
+7,5 
-2.0 
+5.8 
+ 8,8 
-4,3 



9 

13 

100 

514 

1.170 

7,294 

707 

73 



11 

12 

135 

595 

1,186 

7.388 

811 

86 



53.696 
146.810 



+9,0 

+ 5,2 



5,759 
43,091 



6.235 
43.858 



+8.3 
+ 1,8 



5.769 
39.585 



6,160 
41,606 



+6,8 
+ 5,1 



636 
9,244 



753 
9.471 



200.506 



+6.; 



48.850 



50.093 



+2.5 



45.354 



47.766 



+ 5.3 



9.880 



10.224 



74.159 
7.359 

34.354 
1.548 

15,911 
24.452 
19.448 

1.470 

11.193 

109.440 

1.549 

15.971 
258.823 

39.862 

59.211 

29.384 

1.223 

264.379 

428 

1.067 

7.736 



+8.4 

+9,0 

+ 7,0 

+ 12,5 

+9,1 
+9,0 

+7,2 

+52,5 

+3,6 
+30.7 
+ 13.4 
+ 15.2 

+6.2 

+2,2 

+9,5 
+ 10.7 
-12,6 
+ 11.5 

-2.9 
+22.8 

-6.2 



7.632 

406 

461 

66 

2.893 
9.500 
2.234 

19 

1.687 

5,743 

19 

153 

2,400 

9,559 

1.329 

4.196 

309 

19,016 

165 

869 

8,243 



8.464 

393 

489 

64 

3.167 
10.211 
2.608 

18 

1.819 

6.777 

46 

141 

2.235 

8.495 

1.342 

4.436 

266 

18.940 

65 

1.067 

7.736 



+ 10.9 
-3.2 
+6.1 
-3.0 

+9.5 

+7.5 
+ 16,7 

-5.3 

+7,8 

+ 18,0 

+ 142,1 

-7,8 

-6.9 

-11,1 
+ 1.0 
+ 5.7 

-13.9 
-.4 

-60.6 

+22.8 
-6.2 



12.391 

3.48 1 

32.092 

726 

1.880 
2.560 
1.336 

1,992 

515 
17.077 

321 

1.319 

30,819 

9,471 

5.779 

5.852 

373 

47.075 

96 

342 

9.126 



1.3,882 

3.656 

34,355 

906 

2.079 
2,808 
1.497 

2,614 

631 
23,221 

406 

1.450 

33.033 

9.877 

6.550 

6,658 

311 

52.212 

85 

398 

9.027 



+ 12.0 
+ 5.0 
+7.1 

+24.8 

+ 10.6 

+9.7 

+ 12.1 

+31,2 

+22.5 

+36.0 

+26.5 

+9.9 

+7.2 

+4.3 
+ 13.3 
+ 13.8 
-16.6 
+ 10.9 
-11.5 
+ 16.4 

-1.1 



1,997 
206 
231 

25 

298 
821 
120 

81 

100 
1,007 



54 
357 

3,645 

225 

1,298 

79 

5,463 

52 

342 

9,126 



'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. 



2.373 

148 

298 

36 

338 
879 
136 

50 

133 

1.208 

10 

49 

346 

3.5 1 1 

269 

1.301 

49 

5,624 

22 

398 

9,027 



+3.0 



+22.2 

-7.7 

+35.0 

+ 15.8 

+ 1.4 

+ 1.3 

+ 14.7 

+ 17.8 



+ 18.4 

+2.5 



+3.5 



+ 18.8 
-28.2 
+29.0 
+44.0 

+ 13.4 

+7.1 

+ 13.3 

-38.3 

+33.0 
+20.0 

-9.3 
-3.1 

-3.7 

+ 19.6 

+.2 

-38.0 

+2.9 
-57.7 
+ 16.4 

-1.1 



203 



Table 47. — Suburban Count) Arrests, Distribution by Age, 1989 

[981 agencies, 1989 estimated population 37.465.000] 



Offense charged 



Total 
all 

ages 



Ages 

under 

15 



Ages 

under 

18 



Ages 
18 and 



Age 



Under 
10 



10-12 



13-14 



15 



16 



20 



TOIAl 

Percent distribution' 

Murder and nonnegligent manslaughter 

Forcible rape 

Robber>' 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

,^^son 

Violent crime^ 

Percent distribution' 

Property cnme^ 

Percent distribution' 

Crime Index tolaM 

Percent distribution' 

Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, 

possessing 

Vandalism 

Weapons; carrying, possessing, etc 

Proslitulion 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 



1,626,003 
100,0 



2,365 

4.637 

11,390 

48.022 

53.193 

132.822 

23,884 

2.421 



66,414 

100,0 

212,320 

100.0 



278,734 
100,0 



101.836 

13.589 

74,927 

2,791 

21,281 
31,089 
24.049 

4.542 

13,704 

157,446 

2,420 

18,387 
326,470 

54,014 

69,089 

42,929 

2,545 

366,281 

535 

1,564 

17.781 



57,133 

3.5 



184,183 
11,3 



1,441,820 
88.7 



5,265 
.3 



13,085 



38,783 
2.4 



32,370 
2,0 



41,631 
2.6 



53,049 
.3,3 



7.3,513 
4.5 



75,233 
4.6 



244 

438 

1.603 

6,443 

13,026 

2,205 

663 



193 

684 

1,911 

5,262 

17,103 

33,224 

8,428 

989 



2,172 

3.953 

9.479 

42,760 

36,090 

99,598 

15,456 

1,432 



11 

12 

124 

594 

1,009 

26 

172 



4 

57 

90 

438 

1,666 

3.582 

259 

233 



16 

176 

336 

1,041 

4,183 

8.435 

1,920 

258 



24 

151 

388 

895 

3,069 

5.642 

1,958 

119 



57 

119 

497 

1,156 

3,457 

6,748 

2.181 

100 



90 

170 

588 

1.608 

4.134 

7,808 

2,084 

107 



124 

205 

892 

1,901 

4.680 

8,378 

1.991 

102 



143 

192 

759 

1,879 

3,848 

6,850 

1.592 

114 



2,307 

3,5 

22,337 

10,5 



8,050 

12.1 

59,744 

28,1 



58,364 

87,9 

152,576 

71,9 



1,801 



589 

,9 

5,740 

2,7 



1,569 

2.4 

14,796 

7,0 



1,458 

2,2 

10,788 

5-1 



1,829 

2,8 

12,486 

5,9 



2,456 

3,7 

14,133 

6,7 



3,122 

4,7 

15,151 

7,1 



2,973 

4,5 

12,404 

5,8 



24,644 



67,794 
24,3 



210,940 

75.7 



1,950 

.7 



6,329 
2,3 



16,365 
5,9 



12.246 
4.4 



14,315 
5.1 



16,589 
6,0 



18.273 
6,6 



15,377 
5.5 



4,417 

73 

118 

3 

1,015 

5,692 

786 



1,070 

1,250 

7 

51 

48 

911 

204 

2,015 

83 

7,272 

20 

427 

7,018 



11,999 
654 
855 
119 

4,250 
12,365 
3,074 

77 

2,265 

9,735 

1.32 

216 



12,789 

1,654 

6,291 

390 

27,229 

89 

1,564 

17,781 



89,837 
12,935 

74,072 
2,672 

17,031 
18,724 
20,975 

4,465 

11,439 

147,711 

2,288 

18,171 
323,609 

41,225 

67,435 

36,638 

2,155 

339,052 

446 



681 

4 

27 

1 

31 

903 

41 



1,076 

6 

20 



115 
69 



15 
11 

110 

34 

309 

II 
761 

2 

12 
178 



158 

1.758 

151 



298 

124 

2 

9 

11 

73 

14 

487 

19 

1,375 

5 

63 

1,105 



2,660 
63 

71 



826 

3,031 

594 



657 

1,057 

5 

27 

26 

728 

156 

1,219 

53 

5.136 

13 

352 

5,735 



2,029 

84 

85 

5 

764 

1.957 

518 



1,318 
28 

25 
94 

1,500 

212 

999 

52 

4.838 

29 

.367 

4,724 



2,419 
157 
187 
36 

1.131 
2,211 

767 

20 

361 

2,584 

25 

61 

628 

3,588 
370 

1,429 
111 

6,479 

23 

459 

4.270 



3,134 
340 
465 

75 

1,340 
2,505 
1 ,003 

40 

346 

4,583 

72 

79 

2,091 

6.790 
868 

1,848 
144 

8,640 

17 

311 

1,769 



3,699 
614 

1,268 
109 

1,691 

2,155 
1,441 

91 

428 

7,587 

114 

283 

6,701 

10,169 
2,246 
2,256 
161 
14,196 
31 



3,710 
740 

2.027 
116 

1,442 
1.722 
1,270 

142 

395 

8,228 

95 

376 
8,600 

9,668 
2,271 
2,130 
1.39 
16,760 
25 



70,.378 
4.3 



101 

174 

633 

1,810 

2,763 

5.594 

1,131 

58 



2,718 
4,1 

9.546 
4,5 



12,264 
4.4 



3,526 
676 

2,607 
109 

1,214 
1,289 
1,122 

173 

400 

8,031 

110 

452 

10,089 

7,019 
2,298 
1,925 

135 

16,911 

28 



Sec footnotes at end of table. 



204 



Table 47.— Suburban County Arrests, Distribution by Age, 1989— Continued 



Offense charged 



TOTAL 

Percent distribution' 

Murder and nonncgligent manslaughter 

Forcible rape 

Rohber\ 

Aggravated assault 

Burglar> 

Larceny-theft 

Motor vehicle theft 

Arson 

Violent crime^ 

Percent dislnbullon' 

Property cnme^ 

Percent distnbulion' 

Crime Index total* 

Percent distribution' 

Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, 

possessmg 

Vandalism 

Weapons; carrying, possessing, etc 

Prostitution and commercialized vice .. 
Sex offenses (except forcible rape and 

prostitution) 

Drug abuse violations 

Gambling 

Offenses against family and children ... 
Driving under the influence 

Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) 

Suspicion 

Curfew and loitering law violations 

Runaways 



68.288 
4.2 



94 

182 

636 

1.796 

2.292 

4.777 

991 

64 



2.708 
4.1 

8.124 
3.8 



Age 



10.832 
3.9 



3.864 
642 

3.020 
122 

1,0.30 
1,101 
1,091 

177 

402 

8.082 

19 

507 

1 3,363 

1,850 

2,890 

2,042 

115 

17,112 

27 



67,867 
4.2 



104 

166 

559 

1.827 

2.108 

4.488 

946 

65 



2,656 
4,0 

7,607 
3.6 



68.48S 
4,2 



101 

180 

586 

1,935 

1,929 

4,365 

826 

63 



10,263 
3.7 



4,072 
621 

3,439 
119 

928 

956 

1,050 

167 

379 

7,935 

23 

594 

1 3,965 

1,374 

2,639 

1,887 

120 

1 7,308 



2,802 
4,2 

7.183 
3.4 



69,622 
4,3 



83 

180 

539 

2,019 

1,776 

4,104 

775 

64 



2,821 
4.2 

6,719 
3.2 



322,982 
19,9 



430 

792 

2,162 

9,809 

7,476 

19,654 

3,131 

272 



30-34 



248,208 
15.3 



13,193 
19.9 

30,533 
14.4 



9.985 
.3.6 



4.207 

628 

3.549 



899 

987 

1,064 

235 

383 

7,955 

32 

639 

14,486 

1,086 

2,837 

1,897 

120 

17,367 

17 



9,540 
3.4 



4.381 

670 

3,623 

154 

850 
900 
964 

196 

408 

8,266 

39 

804 

15,369 

957 

2,959 

1,828 

127 

17,561 

26 



43,726 
15.7 



21.254 

3,090 

17,328 

619 

3,479 
3,889 
4,392 

1.227 

2,133 

37,795 

200 

4,247 
73,782 

3.459 

13,974 

7,998 

535 

79,762 

93 



357 

670 

1,470 

7,678 

4.516 

15.907 

1.993 

228 



10,175 
15.3 

22,644 
10,7 



32,819 
11.8 



16,263 
2,432 
14,521 

474 

2,439 
2,513 
3,301 



1,931 

26,629 

275 

4.047 
58.284 

2.210 

12,064 

5,756 

354 

60,946 

64 



35-39 



157,944 

9,7 



227 

489 

754 

5,037 

2,518 

10,548 

1,034 

122 



40-44 



6,507 

9.8 

14,222 

6.7 



20.729 
7.4 



10,338 

1.388 

10,080 

315 

1,423 
1,449 
2,090 

630 

1,479 

15,058 

280 

2.977 
39.374 

1.262 

8,639 

3,529 

175 

36,686 

43 



94.161 
5,8 



156 

292 

270 

3,056 

1,196 

6,220 

551 

111 



3,774 
5,7 

8,078 
3.8 



45-49 



54,858 
.3.4 



97 

173 

133 

1.740 

530 

3,312 

247 

74 



50-54 



.30,314 
1.9 



11.852 
4.3 



6.284 

731 

6.136 

223 

768 

813 

1.335 

238 

1,129 

6,771 

260 

1,731 

26,798 

833 

5,516 

2,266 

88 

20,360 

29 



2,143 
3.2 

4,163 
2,0 



6.306 

2.3 



3,657 
357 

3,242 
103 

443 
404 
786 

131 

702 

2,972 

254 

836 

17,649 

520 

3,699 

1,347 

39 

1 1 ,400 

11 



49 
109 

45 

963 

205 

1,960 

112 

44 



55-59 



18,509 
I.I 



1.166 
1,8 

2,321 
1.1 



3,487 
1,3 



'Because of rounding, the percentages may not add to total. 

'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault, 
'Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 
^Includes arson. 



1,955 

190 

1,611 

43 

200 
205 

454 

65 

408 

1,300 

206 

351 

10,737 

299 

2,225 

775 

19 

5.773 
11 



43 
61 
26 
592 
116 
1,382 
71 
26 



60-64 



1 1, .387 

.7 



722 

1.1 

1,595 



2,317 



1,199 

97 

824 

33 

116 
139 
276 

56 

333 
620 
144 
174 
6,853 

192 
1,456 

420 

10 

3,241 

9 



27 
47 
10 

340 
70 

958 
34 
14 



424 

.6 

1,076 



1,500 

.5 



700 
36 

438 
12 

65 
99 
182 

25 

245 

274 

114 

84 

4,229 

156 

941 

280 

8 

1.997 



65 and 
over 



10,071 
.6 



36 

41 

5 

378 

67 

1,101 

31 

II 



460 

.7 

1,210 

.6 



1,670 
.6 



728 

23 

359 

9 

44 
103 
157 

26 

284 

208 

123 

69 

3,330 

171 

781 

302 

10 

1,672 

2 



205 



Table 48. — Suburban County Arrests of Persons under 15, 18, 21, and 25 Years of Age, 1989 

[981 agencies; 1989 estimated population 37.465,000] 





Total all 
ages 


Number of persons arrested 


Percent of total all ages 


Offense charged 


Under 15 


Under 18 


Under 21 


Under 25 


Under 
15 


Under 
18 


Under 
21 


Under 

25 


TOTAL 


1,626.003 


57,1.33 


184.183 


403,307 


677,569 


3.5 


11,3 


24,8 


41,7 








2,365 

4,637 

11,390 

48.022 

53,193 

132,822 

23.884 

2.421 


244 

438 

1,603 

6,443 

1 3,026 

2.205 

663 


193 

684 

1.911 

5.262 

17,103 

33.224 

8,428 

989 


561 

1,255 

4.195 

10,852 

28,394 

54,046 

13,142 

1,263 


943 

1,963 

6,515 

18,429 

36,499 

71,780 

16,680 

1,519 


.9 
5.3 
3.8 
3.3 

12.1 
9.8 
9.2 

27.4 


8.2 
14.8 
16.8 
11.0 
32.2 
25,0 
35.3 
40.9 


23.7 
27.1 
36.8 
22.6 
53.4 
40.7 
55.0 
52.2 


39,9 




42.3 


Robbery 

Aggravated assault 


57.2 
38.4 
68,6 


Larceny-theft 

Motor vehicle theft 


54,0 
69,8 
62.7 








66,414 
212,320 


2,307 
22,337 


8.050 
59.744 


16,863 
96,845 


27,850 
126,478 


3.5 
10.5 


12.1 
28.1 


25.4 
45.6 


41.9 




59.6 








278,734 


24,644 


67.794 


113,708 


154,328 


8.8 


24.3 


40.8 


55.4 








101,836 
1 3,589 
74,927 
2,791 
21,281 
31,089 
24,049 

4,542 
1 3,704 
157,446 
2,420 
18,387 
326,470 

54,014 

69,089 

42,929 

2,545 

366,281 

535 

1,564 

17,781 


4,417 

73 

118 

3 

1,015 

5.692 

786 

9 

1,070 

1,250 

7 

51 

48 

91 1 

204 

2,015 

83 

7,272 

20 

427 

7,018 


1 1 ,999 

654 

855 

119 

4,250 

12,365 

3,074 

77 

2,265 

9,735 

132 

216 

2,861 

12,789 

1,654 

6,291 

390 

27,229 

89 

1,564 

17,781 


22,934 

2,684 

6,757 

453 

8,597 

17,531 
6,907 

483 

3.488 

33.581 

451 

1.327 

28.251 

39,645 

8,469 

12,602 

825 

75,096 

173 

1 ,564 

17,781 


39,458 
5,245 
20,388 
960 
12,304 
21,475 
11,076 

1,258 
5,060 

65.819 

564 

3,871 

85,434 

44,912 

19,794 

20,256 

1,307 

144,444 

271 

1.564 

17.781 


4.3 
.5 
.2 
,1 

4.8 
18.3 

3.3 

.2 
7.8 
.8 
.3 
.3 
(4) 

1.7 

.3 

4.7 

3.3 

2.0 

3.7 

27,3 

39.5 


11.8 

4.8 

1.1 

4.3 

20.0 

39.8 

12.8 

1.7 
16.5 
6,2 
5.5 
1.2 
,9 

23.7 
2.4 
14.7 
15.3 
7.4 
16.6 
100.0 
100.0 


22.5 
19.8 
9.0 
16.2 
40.4 
56.4 
28.7 

10.6 
25,5 
21.3 
18.6 

7.2 
8.7 

73.4 
12.3 
29.4 
32.4 
20,5 
32,3 
iOO.O 
100.0 


38,7 




38,6 


Embezzlement 


27.2 
34.4 
57.8 
69.1 




46.1 




27.7 


Sex offenses (except forcible rape and proslitution) ... 
Gambhng 


36.9 
41.8 
23.3 
21,1 




26.2 




83.1 




28,7 




47.2 


All other offenses (except traffic) 


51,4 
39,4 
50.7 


Curfew and loitering law violations 


100.0 
100.0 







'Violent crimes are otTenses of murder, forcible rape, robbery, and aggravated assault. 
'Properly crimes arc offenses of burglary, larceny-theft, motor vehicle theft, and arson. 
'Includes arson. 
*Less than one-tenth of 1 percent. 



206 



Tabic 49. — Suburban County Arrests, Distribution by S«x, 1989 

[■(SI JscniiCN. I 'IS') (.-siiniJlcd population .17.465.000] 



Offense charged 



Number of persons arrested 



Total 



Male 



Female 



Percent 
male 



Percent 
female 



Percent distribution' 



Total 



Male 



Female 



TOT.VL 

Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

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 

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 



1.626,003 



2, .165 

4.6.17 

1 1. .190 

48.022 

5.1.19.1 

1.12.822 

23.884 

2.421 



66,414 
212.120 



278.734 



101.836 
13.589 
74,927 
2,791 
21,281 
31,089 
24,049 

4,542 
1 3,704 
157,446 
2,420 
18,387 
326,470 



54.014 

69.089 

42,929 

2,545 

366,281 

535 

1,564 

17,781 



1,341,748 



284,255 



82.5 



17.5 



100.0 



2.059 
4.578 
10.475 
42.471 
48.885 
92.864 
21.460 
2.115 



306 

59 

915 

5,551 

4,308 

39,958 

2,424 

306 



87.1 
98.7 
92.0 
88.4 
91.9 
69.9 
89.9 
87.4 



12.9 

1.3 

8.0 

11.6 

8.1 

30.1 

10.1 

12,6 



.1 

.3 
.7 
3.0 
3.3 
8.2 
1.5 
.1 



59.583 
165.324 



6.831 
46,996 



89.7 
77.9 



10.3 
22,1 



4.1 
13.1 



224.907 



53.827 



80.7 



19.3 



17.1 



85.878 
9.125 
37.906 
1.774 
18.841 
27.879 
22.287 

1.640 

12.976 

1-10.458 

1.946 

16.788 

289,660 



43,267 

62.120 

35.362 

2.016 

307.105 

447 

1,142 

8.224 



15,958 
4,464 

37,021 
1.017 
2,440 
3,210 
1,762 

2,902 

728 

26,988 

474 

1,599 

36,810 



10,747 

6,969 

7,567 

529 

59,176 

88 

422 

9,557 



84.3 
67.1 
50.6 
63.6 
88.5 
89.7 
92.7 

36.1 
94.7 
82.9 
80.4 
91.3 
88.7 



80,1 
89,9 
82.4 
79.2 
83.8 
83.6 
73.0 
46,3 



15,7 
32.9 
49,4 
36.4 
11.5 
10.3 
7.3 

63.9 
5.3 

17.1 

19.6 
8.7 

11,3 



19.9 
10.1 
17.6 
20.8 
16.2 
16,4 
27.0 
53.7 



6.3 
.8 
4.6 
2 
1.3 
1.9 
1.5 

.3 
.8 

9,7 
.1 

1.1 
20.1 



3.3 
4.2 
2.6 

.2 

22.5 

(2) 

.1 
I.I 



100.0 



.2 

.3 

.8 

3.2 

3.6 

6.9 

1.6 

.2 



4.4 
12.3 



16. ( 



6.4 
.7 
2.8 
.1 
1.4 
2.1 
1.7 

.1 

1.0 
9.7 

.1 

1.3 

21.6 



3.2 

4.6 

2.6 

.2 

22.9 

(2) 

.1 

.6 



100.0 



.1 

(2) 
.3 
2.0 
1.5 
14.1 
.9 
.1 



2.4 
165 



18.9 



5.6 
1.6 
13.0 
.4 
.9 
I.I 
.6 

1.0 
.3 

9.5 

.2 

.6 

12.9 



3.8 
2.5 
2.7 

.2 

20.8 

(2) 

.1 
3.4 



'Because of rounding, the percentages may not add to total. 

^Less than one-Ienth of I percent, 

'Viotent 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. 



207 



Table 50. — Suburban County Arrests, Distribution by Race, 1989 

[^78 agencies; 1989 eslimaled population 37, 256.0001 



Offense charged 



Total arrests 



Total 



White 



Black 



American 
Indian 



Alaskan 
Native 



Asian 



Pacific 
Islander 



Percent distribution' 



Total 



While 



Black 



American 
Indian 

or 
Alaskan 

Native 



Pacific 
Islander 



TOTAL 

Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 

Violent crime^ 

Property crime' 

Crime Index total* 

Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, 

possessing 

Vandalism 

Weapons; carrying, possessing, etc. . . . 

Prostitution and commercialized vice . 
Sex offenses (except forcible rape and 

prostitution) 

Drug abuse violations 

Gambling 

Offenses against family and children . 
Driving under the influence 

Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other ofTenses (except traffic) 

Suspicion 

Curfew and loitering law violations . . . 
Runaways 



1,612,034 



2.348 

4,623 

11,354 

47.821 

52,954 

132.404 

23,844 

2.412 



66.146 
211,614 



277.760 



101.574 

13.512 

74.874 

2,791 

21.189 
30.944 
23.986 

4.539 

13.658 

157.165 

2.420 

18.296 
315.927 

53.978 

69.060 

42.548 

2.544 

365.475 

533 

1.559 

17.702 



1,243,719 



355,237 



5,974 



7,104 



100.0 



77.2 



22.0 



1,617 

3.260 

5.291 

34,480 

41.208 

91,571 

16,415 

1.986 



711 

1,321 

5,988 

12,854 

11.331 

39.248 

7.210 

398 



14 

25 

35 

272 

198 

493 

104 

10 



6 

17 

40 

215 

217 

1.092 

115 

18 



100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



68.9 
70.5 
46.6 
72.1 
77.8 
69.2 
68.8 
82.3 



30.3 
28.6 
52.7 
26.9 
21.4 
29.6 
30.2 
16.5 



44.648 
151.180 



20.874 
58.187 



346 
805 



278 
1,442 



100,0 
100.0 



67.5 
71,4 



31.6 

27,5 



195,828 



79.061 



1.151 



1.720 



100,0 



70,5 



28.5 



75,952 
9.376 

50.687 
1.733 

13.965 
26,657 
17.103 

3.169 

11.891 

108.478 

1.787 

11.708 
291.257 

49,112 

60,902 

33.499 

1,553 

261.448 

412 

1,365 

15.837 



24,763 
4,046 

23,926 
1,038 

7.064 
4.091 
6.720 

1.305 

1.645 

48.019 

574 

6.524 
21.855 

4,245 

7,339 

8,709 

977 

101,334 

118 

173 

1,711 



445 

36 

150 

4 

67 
96 
49 

27 



414 
54 

111 
16 

93 
100 
114 

38 



66 


56 


338 


330 


3 


56 


30 


34 


902 


1.913 


294 


327 


594 


225 


206 


134 


7 


7 


1.413 


1,280 


3 




13 


8 


80 


74 



100.0 
100.0 
100.0 
100,0 

100,0 
100,0 
100,0 

100.0 

100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100,0 
100,0 
100,0 
100.0 



74.8 
69.4 
67.7 
62.1 

65.9 
86.1 
71.3 

69.8 

87.1 
69.0 
73.8 
64.0 
92.2 

91.0 
88,2 
78,7 
61,0 
71,5 
77.3 
87.6 
89.5 



24.4 
29.9 
32.0 
37.2 

33.3 
13.2 
28.0 



12.0 
30.6 

23.7 

35.7 

6.9 

7.9 
10.6 
20.5 
38.4 
27.7 
22.1 
II. I 

9.7 



See footnotes at end of table. 



208 



I'able 50. — Suburban Counh Arrests, Distribution by Race, 1989 — Continued 



Offense charged 



Arrests under 18 



Tolal 



While 



American 
Indian 



Alaskan 
Native 



Pacific 
Islander 



Percent distribution' 



Total 



White 



Black 



American 

Indian 

or 

Alaskan 
Native 



Pacific 
Islander 



TOTAL 

Murder and nonnegligent manslaughter 

Forcible rape 

Rohben 

Aggravated assault 

Burglar> 

Larceny-theft 

Motor vehicle theft 

Arson 

Violent crime' 

Proper!) crime' 

Crime Index total' 

Other assaults 

Forgerv and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving. 

possessing 

Vandalism 

Weapons; carrying, possessing, etc 

Prostitution and commercialized vice .. 
Sex offenses (except forcible rape and 

prostitution) 

Drug abuse violations 

Gambling 

Offenses against family and children . . 
Driving under the influence 

Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) 

Suspicion 

Curfew and loitering law violations ... 
Runawavs 



183.223 



189 

677 

1,907 

5.227 

17,018 

33.098 

8.410 

985 



8.000 
59.511 



67.511 



11,961 
652 
855 
119 

4,220 

12.268 

3,064 

77 

2,256 

9.706 

132 

209 

2.798 

12,774 

1,652 

6,117 

390 

27,113 

88 

1.559 

17.702 



146,169 



.35,111 



766 



100,0 



79.8 



19.2 



109 

470 

850 

3,464 

14,228 

25,146 

5,624 

851 



79 
201 
1 ,039 
1 ,707 
2,596 
7.430 
2.677 
111 



5 

9 

17 

74 

145 

39 

8 



1 
1 

9 

39 

120 

377 

70 

15 



100,0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



57,7 
69.4 
44.6 
66.3 
83.6 
76.0 
66.9 
86.4 



41,8 
29.7 
54.5 
32,7 
15,3 
22.4 
31.8 
11.3 



4,893 
45,849 



3,026 
12,814 



31 
266 



50 
582 



100.0 
100.0 



61.2 
77.0 



37.8 
21,5 



50,742 



15,840 



297 



632 



100.0 



75.2 



23.5 



8,881 

526 

626 

62 

2,692 
10.954 
2,220 

55 

1.883 

6.333 

88 

183 

2,715 

12,311 

1,538 

4,791 

263 

22.032 

72 

1,365 

15,837 



2.960 

114 

221 

56 

1,484 

1,225 

815 

22 

352 

3,331 

37 

24 

71 

332 

92 

1,276 

123 

4,836 

16 

173 

1.711 



65 
6 
7 
1 

33 
58 
21 



72 
12 
31 
1 
99 



59 

10 

19 

3 

146 



74 



100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100,0 

100.0 

100.0 
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 
80.7 
73.2 
52.1 

63.8 
89.3 
72.5 

71.4 

83.5 
65.2 
66.7 
87.6 
97.0 

96.4 
93,1 
78.3 
67.4 
81.3 
81,8 
87.6 
89.5 



24.7 
17.5 
25,8 
47.1 

35.2 
10.0 
26.6 

28.6 

15.6 
34.3 
28.0 
11.5 

2.5 

2.6 
5.6 
20.9 
31.5 
17.8 
18.2 
11.1 
9.7 



1.0 

.2 

.6 

.7 
.5 
.3 
.4 



.5 
.1 
.5 
.7 
.7 

1.1 
.8 

1.5 



,6 
1,0 



.1 

.2 

5,3 



,5 
,6 
.3 
.8 
,5 



See footnotes at end of table. 



209 



Table 50.— Suburban County Arrests, Distribution by Race, 1989— Continued 





Arrests 18 and over 




Percent distribut 


on' 




OfTense charged 


Total 


White 


Black 


American 
Indian 

or 
Alaskan 
Native 


Asian 

or 
Pacific 
Islander 


Total 


White 


Black 


American 
Indian 

or 
Alaskan 
Native 


Asian 

or 
Pacific 
Islander 


TOTAL 


1.428,811 


1,097,550 


320,126 


5,208 


5,927 


100.0 


76.8 


22.4 


.4 


.4 


Murder and nonnegligeni manslaughter . 


2,159 

3,946 

9,447 

42,594 

35,936 

99,306 

15.434 

1.427 


1.508 

2.790 

4.441 

31.016 

26,980 

66,425 

10,791 

1.135 


632 

1.120 

4,949 

11,147 

8.735 

31.818 

4,533 

287 


14 

20 

26 

255 

124 

348 

65 

2 


5 

16 

31 

176 

97 

715 

45 

3 


100,0 
100.0 
100.0 
100.0 
100,0 
100.0 
100.0 
100.0 


69.8 
70.7 
47.0 
72.8 
75.1 
669 
69.9 
79.5 


29.3 
28.4 
52.4 
26.2 
24.3 
32.0 
29.4 
20.1 


.6 

.5 
.3 
.6 
.3 
.4 
.4 
.1 


.2 
.4 


Robbery 

Aggravated assault 

Burglary 


.3 
.4 
.3 

.7 




.3 




.2 








58.146 
152.103 


39,755 
105,331 


17.848 
45.373 


315 
539 


228 
860 


100.0 
100.0 


68.4 
69.2 


30.7 
29.8 


.5 

.4 


.4 




.6 








210,249 


145,086 


63,221 


854 


1,088 


100.0 


69.0 


30.1 


.4 


.5 








89,613 

12,860 

74.019 

2.672 

16.969 
18.676 
20,922 

4,462 

11.402 

147,459 

2.288 

18,087 
313,129 

41,204 

67,408 

36.431 

2.154 

338,362 

445 


67,071 
8.850 

50.061 
1,671 

11,273 
15.703 
14.883 

3.114 

10.008 

102.145 

1,699 

11,525 
288,542 

36,801 

59,364 

28,708 

1,290 

239.416 

340 


21,803 

3.932 

23,705 

982 

5,580 
2,866 
5,905 

1.283 

1,293 

44,688 

537 

6,500 
21.784 

3.913 

7,247 

7.433 

854 

96.498 

102 


390 

30 

149 

4 

56 
65 
41 

27 

48 
315 

3 

28 

896 

222 
582 
175 

6 
1,314 

3 


349 
48 

104 
15 

60 
42 
93 

38 

53 

311 

49 

34 
1,907 

268 

215 

115 

4 

1,134 


100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 

100.0 

100.0 
100.0 
100.0 
100,0 
100,0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


74.8 
68.8 
67.6 
62.5 

66.4 
84.1 
71,1 

69.8 

87,8 
69.3 
74.3 
63.7 
92.1 

89.3 
88.1 
78.8 
59.9 
70.8 
76.4 


24.3 
30.6 
32.0 
36.8 

32.9 
15.3 
28.2 

28.8 

11.3 
30.3 
23.5 
35.9 
7.0 

9.5 
10.8 
20.4 
39.6 
28.5 
22.9 


.4 
.2 

.2 
.1 

.3 
.3 
.2 

.6 

.4 
.2 

.2 
.3 

.5 
.9 
.5 
.3 

.4 
.7 


.4 


Forgery and counterfeiting 

Fraud 


.4 
.1 
.6 


Stolen property; buying, receiving, 
possessing 


.4 
.2 


Weapons; carrying, possessing, etc 

Prostitution and commercialized vice ... 
Sex offenses (except forcible rape and 


.4 
.9 
.5 


Drug abuse violations 

Gambling 

Offenses against family and children ... 
Driving under the influence 

Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except trafTic) 


.2 

2.1 

.2 

.6 

.7 
.3 
.3 
.2 
.3 


Curfew and loitering law violations 





























'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. 



210 



Tabic 51.— Rural County Arrest Trends, 1988-1989 

ll.'>29 agencies. 1989 cslimaled population 21.573.000) 



Offense charged 



Number of persons arrested 



Total all ages 



1988 



1989 



Porccnl 
change 



Under 18 years of age 



1988 



1989 



Percent 
change 



18 years of age and over 



1988 



1989 



Percent 
change 



TOIAL 

Murder and nonncgligent manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle thefl 

Arson 

Violent crime^ 

Properly crime^ 

Crime Index total' 

Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; 

buying, receiving, possessing 

Vandalism 

Weaixins; 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 



698,474 



1.248 

2.188 

2.180 

20,420 

27,932 

40,334 

7,341 

1,199 



26,036 
76,806 



102.842 



44,932 
6,586 

43.502 
1,248 

6,079 
15.028 
8,060 

140 

5.852 

47,570 

730 

5,876 

148.534 

42.243 

39,835 

22,682 

266 

146.849 

360 

1.415 

8.205 



757.332 



+8,4 



73,61 1 



76,233 



+3.6 



624,863 



681,099 



1,223 

2,356 

2,199 

22.446 

30,346 

44,457 

7,882 

1,242 



-2.0 
+ 7.7 
+.9 
+9.9 
+8.6 
+ 10,2 
+7.4 
+3.6 



77 

210 

180 

1,318 

8.607 

9.523 

2.539 

319 



71 

263 

199 

1.405 

9.484 

9,943 

2.826 

315 



-7.8 
+25.2 
+ 10.6 

+6.6 
+ 10.2 

+4.4 
+ 11.3 

-1,3 



1,171 

1,978 

2.000 

19,102 

19,325 

30,811 

4,802 

880 



1,152 

2,093 

2,000 

21.041 

20,862 

34,514 

5,056 

927 



28,224 
83.927 



+8.4 
+9.3 



1.785 
20.988 



1.938 
22.568 



+8.6 

+7.5 



24,251 
55,818 



26.286 
61,359 



112,151 



+9.1 



22,773 



24.506 



+7.6 



80.069 



87.645 



51.724 
7.396 

48.044 
1.322 

6,278 
16,386 

8,772 

152 

6,211 

56,522 

624 

6.941 

149.409 

44,175 

43.225 

26,222 

286 

161.791 

320 

1.240 

8.461 



+ 15.1 

+ 12.3 

+ 10.4 

+5.9 

+3.3 
+9.0 
+8.8 

+8.6 

+6.1 

+ 18.8 

-14.5 

+ 18.1 

+.6 

+4.6 

+8.5 
+ 15.6 

+7.5 
+ 10.2 
-11.1 
-12.4 

+3.1 



3,263 

412 

358 

24 

893 

5.279 

607 



877 

2,472 

26 

153 
2.168 

1 1 .06 1 

968 

2.361 

42 

10,247 

92 

1,415 

8.205 



3.728 

447 

436 

25 

925 

5.707 

669 



915 

2,438 

23 

136 
1.896 

11.208 

954 

2,517 

67 

9.931 

109 

1.240 

8.461 



+ 14.3 

+8.5 

+21.8 

+4.2 

+3.6 

+8.1 

+ 10.2 

-42.9 

+4.3 

-1.4 

-11.5 

-11.1 

-12.5 

+ 1.3 

-1.4 

+6.6 

+59.5 

-3.1 

+ 18.5 

-12.4 

+3.1 



41.669 
6.174 

43,144 
1,224 

5.186 
9.749 
7,453 

133 

4,975 

45,098 

704 

5,723 

146,366 

31,182 
38.867 
20,321 

224 
136.602 

268 



47.996 
6.949 

47,608 
1.297 

5.353 
10,679 
8,103 

148 

5,296 

54,084 

601 

6,805 

147,513 

32,967 
42.271 
23.705 

219 
151.860 

211 



+9.0 



-1.6 
+ 5,8 
(I) 

+ 10,2 
+8.0 

+ 12.0 
+5,3 
+5,3 



+8.4 
+9.9 



+9,5 



+ 15,2 

+ 12.6 

+ 10.3 

+6.0 

+3.2 
+9.5 
+8.7 

+ 11.3 

+6,5 

+ 19,9 

-14,6 

+ 18.9 

+,8 

+5.7 

+8.8 

+ 16.7 

-2.2 

+ 11.2 

-21.3 



'Less than one-tenth of I percent. 

^Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 
'Propeny crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 
'Includes arson. 



211 



Table 52.— Rural County Arrest Trends. Sex, 1988-1989 

(1,929 agencies; 1989 estimated population 21,573.000] 





Males 1 


Females 




Total 


Under 18 | 


Total 


Under 18 




1988 


1989 


Percent 
change 


1988 


1989 


Percent 
change 


1988 


1989 


Percent 
change 


1988 


1989 


Percent 
change 


TOTAL 


583,378 


629,743 


+7.9 


57,522 


59,417 


+3.3 


115,096 


127,589 


+10.9 


16,089 


16,816 


+4.5 






Murder and nonnegligent 


1.063 

2.166 

2.001 

17,945 

25,980 

31,360 

6,569 

1,040 


1,043 

2,313 

2,007 

19,804 

28,083 

34,818 

6,986 

1,089 


-1.9 

+6.8 

+.3 

+ 10.4 
+8.1 

+ 11.0 
+6.3 
+4.7 


64 

207 

168 

1,112 

7,999 

7,797 

2,193 

282 


64 

252 

184 

1,196 

8,776 

8,051 

2,444 

283 




185 
22 

179 
2,475 
1,952 
8,974 

772 

159 


180 
43 

192 
2,642 
2,263 
9,639 

896 

153 


-2.7 
+95.5 

+7.3 

+6.7 
+ 15.9 

+7.4 
+ 16.1 

-3.8 


13 

3 

12 

206 

608 

1,726 

346 

37 


7 

11 

15 

209 

708 

1,892 

382 

32 


-46.2 




+21.7 
+9.5 
+7.6 
+9.7 
+ 3.3 

+ 11.4 
+.4 


+266.7 




+25.0 




+ 1.5 




+ 16.4 




+9.6 




+ 10.4 




-13.5 








23,175 
64,949 


25,167 
70,976 


+8.6 
+9.3 


1,551 
18,271 


1,696 
19,554 


+9.3 
+7.0 


2,861 
11,857 


3,057 
12,951 


+6.9 
+9.2 


234 
2,717 


242 
3,014 


+3.4 




+ 10.9 








88,124 


96,143 


+9.1 


19,822 


21,250 


+ 7.2 


14,718 


16,008 


+8.8 


2,951 


3,256 


+ 10.3 








38,253 

4,416 

22,479 

866 

5,374 

13,519 

7,579 

77 

5,633 

40.145 

594 

5,253 

132,712 

34,291 

36,423 

19,073 

221 

123,764 

309 

933 

3,649 


44,039 

4,835 

24,996 

904 

5,515 
14,604 
8,211 

58 

5,935 

47,179 

532 

6,116 

132.963 

35.681 

39,298 

21,738 

247 

135,933 

259 

874 

3,942 


+ 15.1 
+9.5 

+ 11.2 
+4.4 

+2.6 
+8.0 
+8.3 

-24.7 

+5.4 
+ 17.5 
-10.4 
+ 16.4 

+.2 

+4.1 

+7.9 

+ 14.0 

+ 11.8 

+9.8 

-16.2 

-6.3 

+8.0 


2.588 

285 

230 

19 

791 
4,869 

567 

5 

802 

2,057 

23 

126 
1,886 

7,968 

810 

1,889 

38 

8,165 

72 

933 

3,649 


2,909 

312 

263 

18 

818 

5,154 

641 

4 

851 

2,031 

21 

107 
1.648 

7.930 

804 

1,972 

58 

7,810 

87 

874 

3,942 


+ 12.4 
+9.5 

+ 14.3 
-5.3 

+3.4 

+5.9 

+ 13.1 

-20.0 

+6.1 

-1.3 

-8.7 

-15.1 

-12.6 

-.5 

-.7 

+4.4 

+52.6 

-4.3 

+20.8 

-6.3 

+8.0 


6.679 

2,170 

21,023 

382 

705 

1.509 

481 

63 

219 

7,425 

136 

623 

15.822 

7,952 

3,412 

3,609 

45 

23,085 

51 

482 

4.556 


7,685 

2,561 

23,048 

418 

763 

1,782 

561 

94 

276 

9,343 

92 

825 

16,446 

8,494 

3,927 

4,484 

39 

25,858 

61 

366 

4,519 


+ 15.1 

+ 18.0 

+9.6 

+9.4 

+8.2 
+ 18.1 
+ 16.6 

+49.2 

+26.0 
+25.8 
-32.4 
+32.4 
+3.9 

+6.8 
+ 15.1 
+24.2 
-13.3 
+ 12.0 
+ 19.6 
-24.1 
-.8 


675 

127 

128 

5 

102 

410 

40 

2 

75 

415 

3 

27 
282 

3,093 

158 

472 

4 

2,082 

20 

482 

4.556 


819 
135 
173 

7 

107 

553 

28 

64 

407 

2 

29 
248 

3,278 

150 

545 

9 

2,121 

22 

366 

4,519 


+21.3 




+6.3 




+35.2 




+40.0 


Stolen properly; buying, receiving, 


+4.9 




+34.9 




-30.0 






Sex offenses (except forcible rape and 


-14.7 




-1.9 




-33.3 


Offenses against family and children 


+7.4 




-12.1 




+6.0 




-5.1 




+ 15.5 


Vagrancy 


+ 125.0 




+ 1.9 




+ 10.0 




-24.1 




-.8 







'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 
'Property crimes are offenses of burglary, larceny-thefl, motor vehicle theft, and arson. 
Mncludes arson, 



212 



Table S3.— Rural Count) Arrests. Distribution by Age, 1989 

(2.290 agencies; 1989 estimated population 24,4 1 2,000) 



Ofl'ense charged 



Total 



ages 



Ages 

under 

15 



Ages 

under 

18 



Ages 

18 and 

o\er 



Age 



l.)nder 

in 



lo-i: 



13-14 



roi Ai 

Perct.>nl distribution' 

Murder and nonncgligeni 

manslaughter 

Forcible rape 

Rohheni 

Aggravated assault 

Burglary 

Larceny-thefi 

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; canning, 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 



855..%3 
100.0 



I..W6 

2.645 

2.479 

25.674 

33.269 

48.454 

8.725 

1.381 



32.194 
100.0 

91.829 
100.0 



124,023 
100.0 



56,270 
8,483 

56,554 
1,640 

7,323 
17.933 
9.652 

178 

7.012 

64.610 

730 

7.974 

173.400 

47.005 

51.648 

29.614 

315 

180.342 

529 

1.256 

8.872 



21,278 

2.5 



81,305 
9.5 



774,058 
90.5 



1.782 

.2 



5,140 
.6 



I4,.156 
1.7 



12,989 
1.5 



19.108 

2.2 



27,930 
3.3 



41,431 

4.8 



42,032 
4.9 



15 

98 

31 

368 

3.404 

3.646 

780 

183 



78 

287 

214 

1.537 

10,094 

10.476 

3.045 

335 



1,318 

2,358 

2,265 

24,137 

23,175 

37.978 

5.680 

1.046 



1 

3 
I 

28 
304 
271 

19 

57 



24 

4 

113 

967 

1.095 

108 

53 



12 

71 

26 

227 

2.133 

2.280 

653 

73 



9 

45 

21 

223 

1.659 

1.608 

729 

36 



19 

70 

56 

373 

2,060 

2.227 

728 

54 



35 

74 

106 

573 

2.971 

2.995 

808 

62 



59 

115 

151 

966 

3,544 

3,682 

782 

74 



47 

108 

160 

1,001 

2,750 

3,226 

539 

71 



512 

1.6 

i,013 

8.7 



2.1 16 

6.6 

23.950 

26.1 



30.078 
93.4 

67,879 
73.9 



33 

.1 

651 

,7 



143 
.4 

2.223 
2.4 



336 

1.0 

5.139 

5.6 



298 

,9 

4,032 

4.4 



518 

1.6 

5.069 

5.5 



788 

2.4 

6,836 

7.4 



1,291 

4.0 

8.082 



1.316 

4.1 

6.586 

7.2 



i.525 
6.9 



26,066 
21.0 



97,957 
79.0 



684 
.6 



2.366 
1.9 



5.475 
4.4 



4,330 
.3.5 



5.587 
4.5 



7.624 
6.1 



9.373 
7.6 



7.902 
6.4 



1,064 

73 

69 

3 

203 

2,420 

156 

1 

440 

294 

8 

32 

47 

833 
76 

718 
19 

2,527 

53 

377 

3,340 



3,876 
507 
482 

27 

1 ,04 1 

6,077 

724 



994 

2.735 

24 

147 
2.210 

11,711 

1,087 

2,709 

71 

10.556 

125 

1,256 

8,872 



52,394 
7.976 

56.072 
1,613 

6,282 
11,856 
8,928 

170 

6,018 

61.875 

706 

7,827 

1 7 1 , 1 90 

35,294 
50.561 
26,905 

244 
169,786 

404 



5 

429 

14 



277 

14 

13 

1 

35 

800 

41 



24 
6 

53 

I 

275 

9 

3 

89 



115 

44 

I 



80 

10 

194 

2 

567 
16 
52 

504 



693 

54 

43 

2 

163 

1,191 

101 

1 

298 

227 

7 

24 

19 

729 

60 

471 

16 

1,685 

28 

322 

2.747 



546 

73 

47 

3 

156 
815 
102 

1 

196 
339 



89 

1.477 

134 

406 

12 

1.580 

14 

251 

2,394 



105 

105 

5 

257 

1,291 

171 



161 

670 

8 

30 

555 

3,319 

257 

656 

15 

2.548 

23 

348 

2,107 



1.378 

256 

261 

16 

425 

1.551 

295 



197 

1.432 

6 

63 

1.519 

6.082 

620 

929 

25 

3.901 

35 

280 

1,031 



2,072 

404 

977 

41 

563 

1,410 

400 

3 

250 

2.847 

9 

217 
3.797 

8,220 
1,666 
1.454 

13 
7,677 

38 



2,097 

488 

1.744 

47 

518 

1.106 

449 

3 

232 

3,115 

9 

232 
4.993 

7.442 
1,810 
1.347 
8 
8.470 
20 



38,792 

4.5 



65 

127 

167 

984 

1.918 

2,553 

398 

50 



1.343 

4.2 

4.919 

5.4 



6.262 
5.0 



2,143 

442 

2,118 

34 

433 
844 
398 



204 

3.174 

9 

227 
5,460 

5.463 
1.805 
I.3II 

12 
8,430 

17 



See footnoles at end of table. 



213 



Table 53.— Rural County Arrests, Distribution by Age, 1989— Continued 



Offense charged 



Age 



21 22 23 24 25-29 



30-34 



35-39 



40-44 



45-49 



50-54 



55-59 



60-64 



65 and 
over 



TOTAL 

Percent distribution' 

Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 

Violent crime' 

Percent distribution' 

Property crime' 

Percent distribution' 

Crime Index total* 

Percent distribution' 

Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, 

possessing 

Vandalism 

Weapons; carrying, possessing, etc. 

Prostitution and commercialized vice . 
Sex offenses (except forcible rape 

and prostitution) 

Drug abuse violations 

Gambling 

Offenses against family and children 
Driving under the influence 



Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other ofTenses (except trafTic) 

Suspicion 

Curfew and loitering law violations 
Runaways 



35,853 
4.2 



52 

110 

121 

1,029 

1,584 

2.143 

398 

64 



1.312 
4.1 

4,189 
4.6 



5,501 
4.4 



2.209 

496 

2.336 

59 

373 
716 
410 



196 

3.104 

6 

305 
6.415 

1,781 
2,051 
1,317 

II 
8,542 

16 



34.019 
4.0 



.34,466 
4.0 



36,017 

4.2 



162,271 
19.0 



25,802 
14.7 



85,641 
10.0 



54,657 
6.4 



32,993 
3.9 



19,955 

2.3 



13,107 
1.5 



8,453 
1.0 



50 

116 

129 

1.027 

1,293 

1.850 

318 

60 



50 

104 

152 

1.050 

1.197 

1.826 

280 

49 



56 

115 

146 

1,067 

1.105 

1.699 

271 

49 



265 

460 

586 

5,213 

4,453 

7,245 

1,038 

193 



195 

378 

288 

4,171 

2,518 

5.230 

701 

147 



139 

294 

202 

2,920 

1,469 

3,253 

450 

109 



136 

167 

84 

1,881 

687 

2,045 

244 

63 



65 

95 

41 

1,087 

313 

1,197 

123 

44 



50 

52 

15 

690 

151 

715 

57 

32 



26 
48 
12 

431 
95 

487 
43 
18 



29 

32 

8 

292 

47 

349 

18 

6 



1.322 
4.1 

3.521 
3.8 



1,356 
4.2 

3.352 
3.7 



1,384 
4.3 

3,124 
3.4 



6,524 

20.3 

12,929 

14.1 



5,032 

15.6 

8,596 

9.4 



3,555 

11.0 

5.281 

5.8 



2.268 
7.0 

3,039 
3.3 



1.288 
4.0 

1,677 
1.8 



807 
2.5 

955 
1.0 



517 
1.6 
643 

.7 



361 

1.1 

420 

.5 



4.843 
3.9 



4,708 
3.8 



4,508 
3.6 



19,453 
15.7 



1 3,628 
11.0 



8,836 
7.1 



5..307 
4.3 



2,965 
2.4 



1.762 
1.4 



1,160 
.9 



781 



2.245 

423 

2.544 

71 

339 
633 
389 

13 

167 

2,984 

6 

281 
6,324 

1.210 
1.938 
1.242 
7 
8,335 
25 



2.3.30 

401 

2.613 

67 

323 
619 
364 



176 

3,301 

14 

340 
6.505 

991 

2,001 

1,356 

24 

8.308 

18 



2.489 

407 

2.871 

65 

290 
601 
390 



195 

3,396 

II 

327 
7,216 

1,017 

2,129 

1,313 

II 

8,744 



11.961 

2.010 

12.345 

.341 

1,216 
2,294 
1,732 

38 

1,003 

15.938 

76 

1,736 
35,689 

3.214 
9.740 
5.823 

45 
37,531 

86 



9,106 

1,261 

10.365 

259 

874 
1,510 
1,482 

32 

960 

11,470 

85 

1.574 

30,214 

2,037 
8.3.34 
4,284 

35 
28.230 

62 



6,261 
753 

7,412 
190 

542 

917 

1,036 

13 

793 

6,595 

83 

1,144 

22,295 

1,291 
6,342 
2,779 

32 
18,289 

38 



3,987 
414 

4,892 
155 

360 
546 
732 

17 

604 

.3,177 

96 

717 

15,162 

913 

4,314 

1,858 

15 

11,374 

17 



2,269 
255 

2,634 
148 

199 
301 
468 



392 

1,428 

95 

346 

10,145 

568 
3,042 
1,136 

14 
6,567 

13 



1,322 

107 

1,393 

73 

119 
137 
279 



269 

643 

67 

165 

6,516 

431 

2,141 

675 

8 

3,833 

12 



858 
58 

824 
38 

72 
81 
158 



199 

374 

59 

87 

4,549 

280 

1,501 

427 

2 

2,373 

5 



514 
35 

435 
17 

36 

53 

111 



165 
180 
42 
58 
3,067 

220 

969 

277 

2 

1,481 
5 



8,569 
1.0 



34 

37 

3 

328 
51 

478 
20 
17 



402 

1.2 

566 

.6 



968 



531 

22 

569 



25 
88 
130 

2 

213 

149 

39 

71 
!,843 

216 
778 
306 

5 

,602 
4 



'Because of rounding, the percentages may not add to total. 

'ViolenI 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. 



214 



Table 54.— Rural County Arrests of Persons under 15, 18, 21, and 25 Years of Age, 1989 

|2,:W agencies; Wif eslimaled populalion :4.4i:.000) 



Offense charged 



Total all 
ages 



Number of persons arrested 



Under 
15 



Under 
18 



Under 

21 



Under 
25 



Percent of lota! all ages 



Under 
15 



Under 
18 



Under 
21 



Under 

25 



TOTAL 

Murder and nonnegligeni manslaughter 

Forcible rape 

Robber> 

Aggravated assault 

Burglar> 

Larcen\-theft 

Motor vehicle thefl 

Arson 

Violent crime' 

Properly crime' 

Crime Index total' 

Other assaults 

Forgerv and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, possessing 

Vandalism 

Weapons; carr>ing. possessing, etc 

Prostitution and commercialized vice 

Sex offenses (except forcible rape 

and prostitution) 

Drug abuse violations 

Gambling 

Offenses against family and children 

Druing under the influence 

Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) 

Suspicion 

Curfew and loitering law violations 

Runawavs 



855..T63 



I,.t96 

2.645 

2.479 

25.674 

33.269 

48.454 

8,725 

1.381 



32.194 
91.829 



124,023 



56.270 
8.483 

56,554 
1.640 
7.323 

17,933 
9,652 

178 

7,012 

64,610 

730 

7,974 

173,400 

47,005 

51,648 

29,614 

315 

180,342 

529 

1,256 

8,872 



21.278 



81,305 



203,560 



343,915 



2,5 



9.5 



15 

98 

31 

368 

3.404 

3.646 

780 

183 



78 

287 

214 

1,537 

10.094 

10.476 

3.045 

335 



249 

637 

692 

4.488 

18,306 

19,937 

4,764 

530 



457 

1,082 

1,240 

8,661 

23,485 

27,455 

6,031 

752 



I.I 
3.7 
1.3 
1.4 

10.2 
7.5 
8.9 

13.3 



5.6 
10.9 
8.6 
6.0 
.30.3 
21.6 
34.9 
24,3 



512 
8,013 



2,116 
2.3,950 



6,066 

43,537 



11,440 

57,723 



1.6 

8.7 



6.6 

26.1 



8.525 



26,066 



49.603 



69.163 



6.9 



21.0 



1.064 

73 

69 

3 

203 

2.420 

156 



440 

294 

8 

32 

47 

833 

76 

718 

19 

2.527 

53 

377 

3.340 



3.876 

507 

482 

27 

1.041 

6.077 

724 



994 

2.735 

24 

147 
2.210 

11.711 

1.087 

2.709 

71 

10.556 

125 

1.256 

8,872 



10,188 
1,841 
5,321 
149 
2.555 
9,437 
1,971 

20 

1,680 

11,871 

51 

823 

16,460 

32,836 

6,368 

6,821 

104 

35,133 

200 

1,256 

8,872 



19,461 
3,568 

15,685 

411 

3,880 

12,006 
3,524 



2,414 

24,656 

88 

2,076 
42,920 

37,835 

14,487 

12,049 

157 

69,062 

287 

1,256 

8,872 



1.9 
.9 
.1 



13.5 
1.6 



6.3 
.5 

1.1 
.4 

(4) 

1.8 

.1 

2.4 

6.0 

1.4 

10.0 

30.0 

37.6 



6.9 

6.0 
.9 

1.6 
14.2 
33.9 

7.5 

4.5 

14.2 
4.2 
3.3 
1.8 
1.3 

24.9 

2.1 

9.1 

22.5 

5.9 

23.6 

100.0 

100.0 



23.8 



17.8 
24.1 
27.9 
17.5 
55.0 
41.1 
54.6 
38.4 



18.8 
47.4 



40.0 



18.1 
21.7 
9.4 
9.1 
34.9 
52.6 
20.4 

11.2 

24.0 
18.4 

7.0 
10.3 

9,5 

69.9 
12.3 
23.0 
33.0 
19.5 
37.8 
100.0 
100.0 



40.2 



32.7 
40.9 
50.0 
33.7 
70.6 
56.7 
69.1 
54.5 



35.5 
62.9 



55.8 



34.6 
42.1 
27.7 
25.1 
53.0 
66.9 
36.5 

32.6 

34.4 
38.2 
12.1 
26.0 
24.8 

80.5 
28.0 
40.7 
49.8 
38.3 
54.3 
100.0 
100.0 



'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 
'Properly crimes are offenses of burglary, larceny-theft, motor vehicle thefl. and arson. 
'Includes arson. 
*Less than one-tenth of I percent. 



215 



Table 55.— Rural County Arrests, Distribution by Sex, 1989 

(2,290 agencies; 1989 eslimaled populalion 24,412.000] 



Offense charged 



Number of persons arrested 



Total 



Male 



Feinale 



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' 

Properly crime^ 

Crime Index totaP 

Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, possessing 

Vandalism 

Weapons; carrying, possessing, etc 

Prostitution and commercialized vice 

Sex offenses (except forcible rape and prostitution) 

Drug abuse violations 

Gambling 

Offenses against family and children 

Driving under the influence 

Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other ofTenses (except traffic) 

Suspicion 

Curfew and loitering law violations 

Runaways 



855,363 



1,396 

2.645 

2.479 

25.674 

33,269 

48,454 

8.725 

1.381 



32.194 
91,829 



124.023 



56,270 
8,483 

56.554 
1.640 
7.323 

17,933 
9,652 

178 

7,012 

64,610 

730 

7.974 

173,400 

47,005 

5 1 ,648 

29,614 

315 

180.342 

529 

1.256 

8.872 



712,514 



142,849 



83,3 



15.7 



100.0 



1,197 

2.595 

2.270 

22,656 

30.799 

38.079 

7,758 

1,210 



199 

50 

209 

3.018 

2,470 

10.375 

967 

171 



28.718 
77,846 



3.476 
13,983 



85.7 


14.3 


98.1 


1.9 


91.6 


8.4 


88.2 


11.8 


92.6 


7.4 


78.6 


21.4 


88.9 


111 


87.6 


12.4 


89.2 


10.8 


84.8 


15.2 



.3 

.3 

3.0 

3.9 

5.7 
1.0 



3.8 
10.7 



106.564 



17,459 



85.9 



14.5 



47,847 
5.620 

29,355 
1,166 
6,454 

16,008 
9,043 

74 

6.704 

53,998 

631 

7,048 

154,830 

38,006 

46,979 

24,551 

270 

151,915 

431 

887 

4,133 



8.423 

2,863 

27.199 

474 

869 

1,925 

609 

104 
308 

10,612 

99 

926 

18.570 

8.999 

4.669 

5.063 

45 

28.427 

98 

369 

4,739 



85.0 


15.0 


66.3 


33.7 


51.9 


48.1 


71.1 


28.9 


88.1 


11.9 


89.3 


10.7 


93.7 


6.3 


41.6 


58.4 


95.6 


4.4 


83.6 


16.4 


86.4 


13.6 


88.4 


11.6 


89.3 


10.7 


80.9 


19.1 


91.0 


9.0 


82.9 


17.1 


85.7 


14.3 


84.2 


15.8 


81.5 


18.5 


70.6 


29.4 


46.6 


53.4 



6.6 
1.0 
6.6 
2 
.9 
2.1 
I.I 

(2) 
.8 

7.6 

.1 

.9 

20.3 

5.5 

6.0 

3.5 

(2) 

21.1 

.1 

.1 

1.0 



100.0 



.4 
.3 
3.2 
4.3 
5.3 
1.1 



4.0 
10.9 



15.0 



6.7 

.8 

4.1 

.2 
.9 

2.2 
1.3 

(2) 
.9 

7,6 
.1 

1.0 
21.7 

5.3 

6.6 

3.4 

(2) 

21.3 

.1 

.1 

.6 



100.0 



.1 

(2) 

.1 

2.1 

1.7 

7.3 

.7 

.1 



2.4 
9.8 



12.2 



5.9 
2.0 
19.0 
.3 
,6 
1.3 
.4 

.1 
.2 
7.4 
.1 
.6 
13.0 

6.3 

3.3 

3.5 

(2) 

19.9 

.1 

.3 

3.3 



'Because of rounding, the percentages may not add to total. 

^Lcss than one-tenth of I percent. 

'Violent crimes arc offenses of murder, forcible rape, robbery, and aggravated assault. 

^Properly crimes are offenses of burglary. larceny-theft, motor vehicle theft, and arson. 

^Includes arson. 



216 



Table S6.— Rural County Arrests, Distribution by Race. 1989 

(2.280 agencies. 1989 cstiinalcd populalion 24.300.0001 





Total arrests 


Percent distribution' 


Offense charged 


Total 


White 


Black 


American 
Indian 

or 
Alaskan 
Native 


Asian 

or 
Pacific 
Islander 


lotal 


White 


Black 


American 
Indian 

or 
Alaskan 
Native 


Asian 

or 
Pacific 
Islander 


TOTAL 


846.861 


699,490 


121.238 


18.710 


7.423 


100.0 


82.6 


14.3 


2.2 


.9 






Murder and nonnegligent 


1,400 

2,632 

2,474 

25.597 

33.137 

48.224 

8.700 

1,379 


1,005 

1,894 

1,394 

18,640 

27,056 

38,329 

7,308 

1,188 


346 

667 

1,023 

5,961 

4,977 

8,513 

989 

165 


42 

55 

38 

816 

808 

636 

245 

23 


7 

16 

19 

180 

296 

746 

158 

3 


100,0 
100.0 
100,0 
100.0 
100.0 
100.0 
100.0 
100.0 


71,8 
72,0 
56,3 
72.8 
81.6 
79.5 
84.0 
86.1 


24.7 
25.3 
41.4 
23,3 
15,0 
17.7 
11,4 
12.0 


3.0 
2.1 
1.5 
3.2 
2.4 
1.3 
2.8 
1.7 


.5 




.6 




.8 


Aggravated assault 


.7 




.9 




1.5 


Motor vehicle theft 


1.8 




.2 






violent crime^ 


32,103 
91.440 


22,933 
73,881 


7,997 
14,644 


951 
1.712 


222 
1,203 


100.0 
100.0 


71.4 
80,8 


24.9 
16.0 


3.0 
1.9 


.7 




1.3 






Crime Index total* 


123.543 


96,814 


22,641 


2.663 


1,425 


100.0 


78.4 


18.3 


2,2 


1.2 








56.180 
8,449 

56,458 
1.639 

7.280 
17,906 
9,616 

178 

6,978 

64,328 

729 

7,961 

166,885 

46,876 

51,462 

29,545 

313 

179,914 

526 

1,250 

8,845 


43,161 
6,065 

41,217 
1,249 

5,839 
15,630 
7.794 

153 

6,202 

51,172 

541 

5.972 

152.866 

43,869 

45,267 

24,047 

250 

142,314 

464 

839 

7,765 


10,956 

2,258 

14,853 

358 

1,283 
1,697 
1,593 

19 

598 

11,881 

105 

1,789 

9,261 

1,606 

4,033 

4,249 

57 

31,616 

40 

24 

321 


1,401 

92 

296 

10 

121 
392 
150 

3 

145 

841 

20 

118 

3,989 

948 

2,078 

1,059 

6 

3,927 

20 

63 

368 


662 
34 
92 
22 

37 
187 
79 

3 

33 

434 

63 

82 

769 

453 
84 
190 


100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100,0 

100.0 

100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100,0 
100.0 
100,0 
100.0 
100.0 
100.0 


76.8 
71.8 
73.0 
76.2 

80.2 
87,3 
81.1 

86.0 

88.9 
79.5 
74.2 
75.0 
91.6 

93.6 
88.0 
81.4 
79.9 
79.1 
88,2 
67,1 
87.8 


19.5 
26.7 
26.3 
21.8 

17.6 
9.5 
16.6 

10.7 

8.6 
18.5 
14.4 

22.5 
5.5 

3.4 

7.8 

14.4 

18.2 

17.6 

7.6 

1.9 

3.6 


2.5 
I.I 

.5 
.6 

1.7 
2.2 
1.6 

1.7 

2.1 
1.3 
2.7 
1.5 
2.4 

2.0 
4.0 
3.6 
1.9 

2.2 
3.8 
5.0 

4.2 


1.2 




.4 




.2 


Embezzlement 


1.3 


Stolen property: buying, receiving. 


.5 




1.0 


Weapons; carrying, possessing, etc 

Prostitution and commercialized vice 

Sex ofTenses (except forcible 
rape and prostitution) 


.8 
1.7 
.5 




.7 




8.6 


OfTenses against family and children 

Driving under the influence 


I.O 
.5 




1.0 




.2 


Disorderlv conduct 


.6 








2,057 

2 

324 

391 


I.I 




.4 


Curfew and loitering law violations 

Runaways 


25.9 
4.4 







See footnotes at end of table. 



217 



Table 56.— Rural County Arrests, Distribution by Race, 1989 — Continued 





Arrests under 18 | 


Percent distribution' 




Offense charged 


Total 


White 


Black 


American 
Indian 

or 
Alaskan 
Native 


Asian 

or 
Pacific 
Islander 


Total 


White 


Black 


American 
Indian 

or 
Alaskan 
Native 


Asian 

or 
Pacific 
Islander 


TOTAL 


81.028 


70,653 


5,660 


2,403 


2,312 


100.0 


87.2 


7.0 


3.0 


2.9 






Murder and nonnegligent manslaughter ... 


78 

287 

213 

1,534 

10.063 

10,443 

3,038 

335 


55 

216 

142 

1,122 

8.833 

8,967 

2,611 

314 


21 

61 

58 

313 

660 

910 

199 

15 


2 

8 

8 

67 

404 

205 

125 

5 




100.0 
100.0 
100,0 
100.0 
100.0 
100.0 
100.0 
100.0 


70.5 
75.3 
66.7 
73.1 
87.8 
85.9 
85.9 
93.7 


26.9 

21.3 

27.2 

20.4 

6.6 

8.7 

6.6 

4.5 


2.6 
2.8 
3.8 
4.4 
4.0 
2.0 
4.1 
1.5 




2 

5 

32 

166 

361 

103 

1 


.7 




2.3 




2.1 




1.6 




3.5 




3.4 




.3 








2.112 
23.879 


1,535 
20,725 


453 
1,784 


85 
739 


39 
631 


100.0 
100.0 


72.7 
86.8 


21.4 

7.5 


4.0 
3.1 


1.8 




2.6 








25,991 


22,260 


2.237 


824 


670 


100.0 


85.6 


8.6 


3.2 


2,6 






Other assaults 


3,872 

505 

482 

27 

1 ,039 

6.068 

723 

8 

993 

2.726 

24 

147 
2.148 

11.678 

1,078 

2,706 

71 

10.522 

125 

1.250 

8,845 


2,857 

449 

400 

20 

916 

5,592 
591 

8 

867 

2,265 

12 

137 
2,064 

11,157 

1,001 

2,301 

65 

8,984 

103 

839 

7.765 


683 

47 

72 

3 

84 
229 
100 


149 

7 
5 


183 

2 
5 
4 

9 

102 

10 


100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 

100.0 

100.0 

100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


73.8 
88.9 
83.0 
74.1 

88.2 
92.2 
81.7 

100.0 

87.3 
834 
50.0 
93.2 
96.1 

95.5 
92,9 
85.0 
91.5 
85.4 
82.4 
67,1 
87.8 


17.6 
9.3 
14.9 
II. 1 

8.1 
3.8 
13.8 


3.8 
1.4 
1.0 


4.7 




,4 




1.0 




14.8 


Stolen property; buying, receiving. 


30 
145 

22 


2,9 
2.4 
3,0 


.9 




1.7 


Weapons; carrying, possessing, etc 

Sex offenses (except forcible 


1.4 


84 

317 

4 

7 

31 

105 

44 

270 

4 

990 

4 

24 

321 


33 
70 


9 

74 
8 

2 

7 

153 

3 

38 


8.5 
11.6 
16.7 
4.8 
1.4 

.9 
4.1 
10.0 
5.6 
9.4 
3.2 
1.9 
3.6 


3.3 
2.6 


.9 




2.7 




33.3 


Offenses against family and children 


1 
46 

263 

30 

97 

2 

231 
17 
63 

368 


,7 
2.1 

2.3 
2.8 
3.6 
2.8 
2,2 
13.6 
5,0 
4.2 


1,4 

.3 




1.3 




.3 


Disorderly conduct 


1.4 








317 

1 

324 

391 


3,0 




.8 


Curfew and loitering law violations 

Runaways 


25.9 
4.4 







Sec footnotes at end of table. 



218 



Table 56.— Rural County Arrests, Distribution by Race, l989--Continued 



'Because of rounding, the percentages may not add to total, 

'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 
*Propeny crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 
'Includes arson. 





Arrests 18 and over 


Percent distribution' 


OfTense charged 


Total 


White 


Black 


American 
Indian 

or 
Alaskan 
Native 


Asian 

or 
Pacific 
Islander 


Total 


White 


Black 


American 
Indian 

or 
Alaskan 
Native 


Asian 

or 
Pacific 
Islander 


TOTAL 


765,833 


628,837 


115,578 


16,307 


5,111 


100.0 


82.1 


15.1 


2.1 


,7 






Murder and nonnegligcnt manslaughter . . 


1,322 

2,345 

2,261 

24,063 

23,074 

37,781 

5,662 

1,044 


950 

1,678 

1,252 

17,518 

18,223 

29,362 

4,697 

874 


325 

606 

965 

5,648 

4,317 

7,603 

790 

150 


40 

47 

30 

749 

404 

431 

120 

18 


7 

14 

14 

148 

130 

.385 

55 

2 


100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


71.9 
71.6 
55.4 
72.8 
790 
77.7 
83.0 
83.7 


24.6 
25.8 
42.7 
23.5 
18.7 
20.1 
14.0 
14.4 


3.0 
2.0 
1.3 
3.1 
1.8 
1.1 
2.1 
1.7 


.5 
.6 




.6 




.6 




.6 




1.0 


Motor vehicle theft 


1.0 




.2 






Violent crime^ 


29.991 
67,561 


21,398 
53,156 


7,544 
12.860 


866 
973 


183 

572 


100.0 
100.0 


71.3 
78.7 


25.2 
19.0 


2.9 
1.4 


.6 




.8 






Crime Index total' 


97.552 


74,554 


20.404 


1.839 


755 


100.0 


76.4 


20.9 


1.9 


.8 








52.308 

7.944 

55,976 

1,612 

6,241 
11,838 
8,893 

170 

5,985 

61,602 

705 

7,814 

164,737 

35,198 
50,384 
26,839 

242 
169,392 

401 


40,304 
5,616 

40,817 
1,229 

4,923 

10,038 

7,203 

145 

5,335 

48,907 

529 

5,835 

150,802 

32,712 
44,266 
21,746 

185 
133,330 

361 


10,273 

2,211 

14,781 

355 

1,199 
1,468 
1.493 

19 

514 

11,564 

101 

1.782 

9.230 

1.501 
3.989 
3.979 

53 
30.626 

36 


1.252 

85 

291 

10 

91 

247 
128 

3 

112 

771 

20 

117 

3.943 

685 

2.048 

962 

4 

3.696 

3 


479 
32 
87 
18 

28 
85 
69 

3 

24 

360 

55 

80 

762 

300 
81 
152 


100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 

100.0 

100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


77.1 
70.7 
72.9 
76.2 

78.9 
84.8 
81.0 

85.3 

89.1 
79.4 
75.0 
74.7 
91.5 

92.9 
87.9 
81.0 
76.4 
78.7 
90.0 


19.6 
27.8 
26.4 
22.0 

19.2 
12.4 
16.8 

11.2 

8.6 
18.8 
14.3 
22.8 

5.6 

4.3 
7.9 
14.8 
21.9 
18! 
9.0 


2.4 

1.1 

.5 

.6 

1.5 
2.1 
1.4 

1.8 

1.9 
1.3 
2.8 
1.5 
2.4 

1.9 
4.1 
3.6 

1.7 

2.2 
.7 


.9 




.4 


Fraud 


.2 




1.1 


Stolen property; buying, receiving. 


.4 


Vandalism 


.7 


Weapons; carrying, possessing, etc 

Prostitution and commercialized vice 

Sex offenses (except forcible 


.8 
1.8 
.4 




.6 




7.8 


Offenses against family and children 


1.0 
.5 




.9 




.2 




.6 






All other offenses (except traffic) 


1.740 

1 


1.0 


Suspicion 


.2 













































219 



Table 57.— Suburban Area' Arrest Trends, 1988-1989 

(4,176 Agencies; 1989 estimated population 69,332.000] 



Offense charged 



Number of persons arrested 



Total all ages 



1988 



1989 



Percent 
change 



Under 18 years of age 



1988 



1989 



Percent 
change 



18 years of age and over 



1988 



1989 



Percent 
change 



TOTAL 

Murder and nonnegligent 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 (not included in totals) 

Curfew and loitering law violations .. 
Runaways 



2,943,991 



3.139 

7,340 

18,699 

77,978 

94,818 

334.460 

36.350 

4,624 



107,156 
470.252 



577.408 



5,176 



3,193,413 



3.177 

7.661 

19,941 

86,420 

96.958 

355.041 

39.963 

4,520 



117.199 
496,482 



613,681 



187,551 


207.919 


22.598 


23.735 


100,146 


109.511 


3,388 


3,948 


38,830 


41.530 


71,556 


75.052 


41,717 


44,801 



6,593 



22,255 


22,753 


206.832 


255.831 


2.474 


2,621 


20.850 


24.371 


520.412 


543,149 


158,417 


163,460 


173,233 


183,953 


142,019 


1 54.024 


4,284 


4,777 


588,161 


654.251 


2,534 


2,471 


16.162 


17,071 


40.522 


40.382 



+8.5 



497,671 



504,643 



2,446,320 



2,688,770 



+ 1.2 
+4.4 
+6.6 
+ 10.8 
+2.3 
+6.2 
+9.9 
-2.2 



238 

1,027 

3,491 

9,547 

34.659 

106,162 

14,459 

2,254 



283 

1.136 

3,759 

10,750 

33,763 

107,722 

15.788 

2.271 



+ 18.9 
+ 10.6 

+7.7 
+ 12.6 
-2.6 
+ 1.5 
+9.2 
+.8 



2.901 

6,3 1 3 

15,208 

68.431 

60.159 

228,298 

21,891 

2,370 



2.894 

6.525 

16,182 

75.670 

63,195 

247,319 

24,175 

2,249 



+9.4 
+ 5.6 



14,303 

157.534 



15,928 
159,544 



+ 11.4 
+ 1.3 



92,853 
312,718 



101,271 
336,938 



+6.3 



171,837 



175,472 



+2.1 



405.571 



438.209 



+ 10.9 
+5.0 
+9.4 

+ 16.5 

+7.0 
+4.9 

+7.4 

+27.4 

+2.2 
+23.7 

+5.9 
+ 16.9 

+4.4 

+3.2 

+6.2 

+8.5 

+ 11.5 

+ 11.2 

-2.5 

+5.6 

-.3 



27,628 


30,685 


1,890 


1,774 


1,671 


1,872 


203 


259 


9,901 


10,528 


33,469 


33,939 


6,911 


7,789 



207 



127 



3.989 


4.080 


19,155 


20,178 


85 


127 


681 


700 


6,593 


5,986 


47.959 


43,844 


5,907 


5,629 


28,318 


29.636 


928 


842 


73,655 


73.723 


1 .203 


854 


16,162 


17,071 


40,522 


40,382 



+ 11.1 

-6.1 
+ 12.0 
+27.6 

+6.3 

+ 1.4 

+ 12.7 

-38.6 

+2.3 
+5.3 
+49.4 
+2.8 
-9.2 

-8.6 
-4.7 
+4.7 
-9.3 

+.1 

-29.0 

+5.6 

-.3 



159,923 

20,708 

98,475 

3,185 

28,929 
38,087 
34.806 

4,969 

18,266 

187.677 

2.389 

20,169 
513,819 

110,458 
167,326 
113,701 

3,356 
514,506 

1,331 



177,234 

21,961 

107,639 

3,689 

31,002 
41.113 
37,012 

6.466 

18,673 

235,653 

2,494 

23.671 
537,163 

119,616 
178,324 
124.388 

3,935 
580.528 

1,617 



+9.9 



-.2 
+3.4 
+6.4 

+ 10.6 
+5.0 
+8.3 

+ 10.4 
-5.1 



+9.1 

+7.7 



+8.0 



+ 10.8 
+6.1 
+9.3 

+ 15.8 

+7.2 
+7.9 
+6.3 

+30.1 

+2.2 
+25.6 

+4.4 
+ 17.4 

+4.5 

+8.3 

+6.6 

+9.4 

+ 17.3 

+ 12.8 

+21.5 



'Includes suburban city and county law enforcement agencies within metropolitan areas. Excludes central cities. Suburban cities and counties are also included in other groups. 
^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. 



220 



Table 58.— Suburban Area' Arrest Trends. Sex, 1988-1989 

(4.176 agencies; 1989 cslimalcd populalion 69.332,000) 





Males 1 






Femal 


:s 






Offense charged 


Total 


Under 18 | 


Total 


Under 18 




1988 


1989 


Percent 
change 


1988 


1989 


Percent 
change 


1988 


1989 


Percent 
change 


1988 


1989 


Percent 
change 


TOTAL 


2.41.3,640 


2.608.590 


+8,1 


.388,.355 


.391.907 


+.9 


5.30..351 


584.823 


+ 10,3 


109.316 


112,736 


+3,1 


Murder and nonncgligeni 


2.687 

7.244 

17.174 

68.780 

86.691 

230.398 

32.524 

4.099 


2,740 

7,568 

18,279 

76,138 

88.465 

244.147 

35.818 

3.987 


+2.0 
+4.5 
+6.4 

+ 10.7 
+2.0 
+6.0 

+ 10,1 
-2.7 


219 

1.004 

3.252 

8.306 

32.087 

79.. 306 

12.817 

2.078 


258 

1.110 

3.490 

9,337 

31.074 

80,001 

14,016 

2,047 


+ 17.8 
+ 10.6 

+7.3 
+ 12.4 

-3.2 
+.9 

+9.4 

-1.5 


452 

96 

1,525 

9,198 

8.127 

104,062 

3,826 

525 


437 

93 

1.662 

10.282 

8.493 

110.894 

4,145 

533 


-3.3 
-3.1 
+9.0 
+ 11.8 
+4.5 
+6.6 
+8.3 
+ 1.5 


19 

23 

239 

1,241 

2,572 

26,856 

1,642 

176 


25 

26 

269 

1,413 

2,689 

27,721 

1,772 

224 


+ 31.6 




+ 13,0 


Robben 


+ 12,6 




+ 13,9 




+4,5 




+3,2 




+7.9 




+27.3 








95.885 
353.712 


104.725 
372.417 


+9.2 

+ 5.3 


12.781 
126.288 


14,195 
127.138 


+ 11.1 

+.7 


11,271 
116,540 


12,474 
124,065 


+ 10.7 
+6.5 


1,522 
31,246 


1,733 
32,406 


+ 13.9 




+3.7 








449.597 


477,142 


+6.1 


1 39.069 


141.333 


+ 1.6 


127,811 


1.36,539 


+6.8 


32,768 


34,139 


+4.2 








158.188 

14.8.30 

51.711 

2.137 

33,895 
64,441 
38,880 

2.038 

21.302 

1 72.903 

2.070 

18.384 
456.681 

128.442 
157.101 
1 1 7.803 
3.602 
489.239 

2.136 
11.867 
18,529 


174.191 

15.628 

56.301 

2.398 

.36.283 
67.389 
41.761 

2.441 

21.685 

212.542 

2.099 

21.450 
475.202 

131.423 
166.043 
126.634 
4.012 
543,242 

2,079 
12,497 
18,227 


+ 10.1 

+ 5.4 

+8.9 

+ 12.2 

+7.0 
+4.6 

+ 7.4 

+ 19.8 

+ 1.8 

+22.9 

+ 1.4 

+ 16.7 
+4.1 

+2.3 

+5.7 

+7.5 

+ 11.4 

+ 11.0 

-2.7 
+ 5.3 
-1.6 


21,673 

1,274 

1.122 

130 

8.890 

.30,760 

6,585 

91 

3,730 

16,1.34 

83 

473 
5,729 

35,163 

4,999 

22,996 

776 

58,282 

973 
11,867 
18,529 


23.823 

1,256 

1,180 

167 

9,484 

31,054 

7,417 

52 

3,802 

17,161 

107 

476 
5,170 

31,517 

4,688 

23,879 

710 

57.907 

695 

12,497 
18,227 


+9.9 
-1.4 

+5.2 
+28.5 

+6.7 

+ 1.0 

+ 12.6 

-42.9 

+ 1.9 

+6.4 

+28.9 

+.6 
-9.8 

-10.4 

-6.2 

+ 3.8 

-8.5 

-.6 

-28.6 
+5.3 
-1.6 


29,363 
7.768 

48.435 
1.251 

4.935 
7,115 
2.837 

3.138 

953 

33.929 

404 

2.466 
63,731 

29,975 
16,132 
24,216 
682 
98,922 

398 

4,295 

21,993 


33,728 
8,107 

53,210 
1,550 

5,247 
7,663 
3,040 

4,152 

1,068 
43.289 

522 

2.921 
67.947 

32,037 

17,910 

27,390 

765 

1 1 1 ,009 

392 

4,574 

22,155 


+ 14.9 
+4.4 
+9.9 

+23.9 

+6.3 

+7.7 
+7.2 

+32.3 

+ 12.1 
+27.6 
+29.2 

+ 18.5 
+6.6 

+6.9 
+ 11.0 
+ 13.1 
+ 12.2 
+ 12.2 

-1.5 

+6.5 

+.7 


5,955 
616 

549 

73 

1,011 

2,709 

326 

116 

259 
3,021 

2 

208 
864 

12,796 

908 

5,322 

152 

15,373 

230 

4.295 

21.993 


6,862 

518 

692 

92 

1,044 

2,885 

372 

75 

278 

3,017 

20 

224 
816 

12,327 

941 

5,757 

1.32 

15,816 

159 

4,574 

22,155 


+ 15.2 




-15.9 




+26.0 




+26.0 


Stolen property; buying, receiving. 


+ 3.3 




+6.5 


Weapons; carrying, possessing, etc. . 


+ 14.1 
-35.3 




+7.3 




-.1 




+900.0 




+7.7 




-5.6 




-3.7 




+3.6 


Disorderly conduct 


+8.2 




-13.2 


All other offenses (except traffic) ... 

Suspicion (not included m totals) ... 
Curfew and loitering law violations . 


+2.9 

-30.9 
+6.5 

+.7 







'Includes suburban cily 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. 
'Properly crimes are offenses of burglary, larceny-theft, motor vehicle thefl. and arson. 
'Includes arson. 



221 



Table 59. — Suburban Area' Arrests, Distribution by Age, 1989 

14.958 agencies; 1989 estimaled population 79.923.000) 





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 


21 


TOTAL 


3,734,558 
100.0 


195.410 

5.2 


586.573 
15.7 


3,147,985 
84.3 


16.530 
,4 


48.554 
1.3 


130,326 

3,5 


104.726 
2.8 


129,115 

3.5 


157,322 
4.2 


197.073 

5.3 


191,730 
5,1 


173,467 
4.6 


159.050 




4,3 






Murder and nonnegligent 


3,695 

9.032 

24,250 

99.341 

111.582 

410.477 

45.969 

5.229 


45 

484 

I.2I1 

3.860 

15.049 

53.379 

4.871 

1.798 


339 

1.399 

4.569 

12.666 

38.976 

123.857 

18.496 

2.591 


3.356 

7,633 

19,681 

86,675 

72,606 

286,620 

27,473 

2.638 


5 

23 

53 

277 

1 .332 

4.388 

61 

457 


6 
119 
281 
958 
4,005 
16,016 
584 
582 


34 

342 

877 

2,625 

9,712 

32,975 

4,226 

759 


47 

291 

841 

2.210 

7,058 

21.065 

4,366 

316 


103 

284 

1.147 

2,893 

8,010 

23,627 

4,831 

242 


144 

340 

1,370 

3,703 

8,859 

25,786 

4,428 

235 


182 

407 

1,841 

4,308 

9,554 

25,665 

3,898 

204 


217 

402 

1,608 

4,084 

7,706 

20,635 

2,911 

217 


160 

376 

1.326 

3.919 

5,540 

16,546 

2,168 

145 


162 




390 


Robbery 


1,244 




3,854 




4,654 


Larcenv-theft . 


14,264 


Motor vehicle theft 


1,826 




116 






Violent crime' 


136.318 
1 00.0 

573.257 
100.0 


5.600 

4.1 

75,097 

13,1 


18.973 

13.9 

183.920 

32.1 


117.345 
86.1 

389.337 
67.9 


358 

.3 

6.238 

1.1 


1,364 

1.0 

21.187 

3.7 


3,878 

2.8 

47,672 

8.3 


3.389 

2.5 

32.805 

5.7 


4,427 

3.2 

36.710 

6.4 


5,557 

4.1 

39,308 

6.9 


6,738 

4.9 

39.321 

6.9 


6,311 

4.6 

31.469 

5.5 


5,781 

4.2 

24,399 

4.3 


5,650 




4.1 




20.860 




3.6 








709.575 
100.0 


80,697 
11.4 


202.893 

28.6 


506,682 

71.4 


6.596 
,9 


22.551 
3.2 


51,550 

7.3 


36.194 
5.1 


41.137 
5.8 


44.865 
6.3 


46,059 
6.5 


37,780 
5.3 


30.180 
4.3 


26.510 




3.7 






Other assaults . . .... 


244,349 

28,722 

121,944 

4.533 

49.135 
89,470 

52,373 

8.274 

26.775 
305,404 

3,337 

27.786 
617.083 

188,398 

217,928 

196.905 

6,511 

766,963 
2,909 

19,721 
46,463 


1 3.4.30 

287 

360 

13 

3.340 
19.545 

2.459 

26 

2.358 

3.098 

31 

305 
121 

3.937 

759 

11.880 

271 

26.91 1 
339 

6.070 
19.173 


35.403 

2,106 

2,120 

292 

12.495 
39,404 

8,966 

156 

4,827 

24,133 

234 

865 
6,788 

50,063 
6,543 

36,145 
1,007 

84,964 
985 

19,721 
46,463 


208.946 

26.616 

119.824 

4.241 

36,640 
50,066 

43,407 

8,118 

21,948 

281,271 

3,103 

26,921 
610.295 

138,335 

211,385 

160,760 

5,504 

681,999 
1,924 


1.444 
11 

43 

2 

142 
3.014 

136 

244 

116 

6 

61 
28 

164 

65 

1.071 

19 

2.513 
38 

119 
698 


3,654 
41 
66 

645 
6,079 

511 

4 

648 

299 

6 

48 
13 

333 

85 

3,071 

57 

6,085 

75 

1.006 

3,277 


8.332 

235 

251 

1 1 

2.553 
10.452 

1.812 

22 

1.466 

2.683 

19 

196 
80 

3.440 
609 

7.738 
195 

18.313 
226 

4.945 
15.198 


6.170 

327 

248 

15 

2.370 
6.253 

1.603 

19 

918 

3.683 

61 

154 
250 

6,558 
929 

6,176 
179 

15,625 
211 

4,673 
12,110 


7.048 

507 

499 

89 

3.090 
6,451 

2,151 

35 

772 

6,566 

43 

186 
1,579 

14,138 

1,680 

7,986 

249 

18,736 
229 

5,448 
10,496 


8.755 
985 

1.013 
175 

3.695 
7.155 

2.753 

76 

779 

10,786 

99 

220 
4,838 

25,430 

3,175 

10,103 

308 

23,692 
206 

3,530 
4,684 


9.585 
1.501 

2.672 
212 

4,119 
6,250 

3,465 

183 

883 

16,799 

133 

624 
13,678 

36,594 

6,601 

11,725 

427 

35,408 
155 


9,595 

1,704 

3,944 

230 

3,457 
4,810 

3,040 

251 

843 

17,589 

117 

659 
17,643 

32,816 

6,941 

10.761 

.341 

39.060 
149 


9.160 

1.588 

4.681 

213 

2.833 
3,612 

2.580 

324 

849 

16,441 

128 

798 
20,153 

24,180 

7,066 

9,760 

313 

38,482 
126 


9,817 


Fraud 


1,387 
5,221 




206 


Stolen property; buying, receiving. 


2,335 


Vandalism 


3,258 


Weapons: carrying. 


2,451 


Prostitution and 
commercialized vice 


361 


Sex offenses (except forcible 


878 


Drug abuse violations 


15,970 


Gambling 


31 


Offenses against family and 


888 


Dnvmg under the mfluence 

Liquor laws 


26,332 
6,403 




8,915 




10,287 


Vagrancy . ... 


268 


All other offenses {except 
traffic) 


37,428 




104 


Curfew and loitering law 

















See footnotes at end of table. 



222 



Table 59. — Suburban ,\rea' .\rrests. Distribution by .Vec 1989 — Continued 





Age 


Ollcnsc charged 


->T 


23 


24 


25-29 


30-34 


35-39 


40-44 


45-49 


50-54 


55-59 


50-64 


55 and 
over 


lOiM 

Percent disfribution' 


151.947 
4.1 


148,331 
4.0 


150,7.36 
4,0 


679.919 
18.2 


510.817 
13.7 


32.3,9.36 

8.7 


19.3.318 

5.2 


111.898 
3.0 


53,876 

1,7 


40,194 


25,9.36 

.7 


25,757 
.7 






Murder and nonnegligcnt 


160 

347 

1.184 

3.813 

4.082 

12.790 

1.627 

134 


153 

352 

1,179 

4,002 

3,841 

12,052 

1,406 

118 


137 

358 

1,115 

4,207 

3,548 

11,867 

1,350 

126 


687 

1.571 

4,614 

19,945 

14,972 

54,344 

5.438 

476 


524 

1.278 

3.002 

15.397 

9,388 

44,309 

3,409 

400 


344 

880 

1.536 

9.784 

5.099 

29.393 

1.735 

248 


249 

540 

563 

5.783 

2.354 

17.128 

883 

185 


142 

295 

279 

3.299 

1.006 

9.597 

415 

114 


80 

175 

100 

1,798 

393 

5,837 

178 

61 


64 

109 

48 

1,082 

203 

4,290 

117 

43 


43 

77 

18 

650 

129 

3.293 

53 

24 


52 




76 




24 




750 




137 




4.610 




59 




27 








5.504 

4,0 

18,633 

3.3 


5,686 

4.2 

17,417 

3.0 


5.817 

4,3 

16,891 

2 9 


26.817 
19.7 

75.230 
13.1 


20,201 
14.8 

5'',506 
10.0 


12.544 
9.2 

36.475 
6.4 


7.135 

5.2 

20.550 

3.6 


4.015 

2.9 

11.132 

1.9 


2,153 
1.5 

6,469 
1.1 


1,.303 

1.0 

4.553 

.8 


788 

.5 

3.499 

.6 


902 




.7 




4.833 




.8 








24,137 

3,4 


23,103 

3.3 


22.708 
3.2 


102.047 
14.4 


77,707 
11.0 


49.019 
6.9 


27.685 
3.9 


15.147 
2.1 


8,622 
1.2 


5.956 
.8 


4.287 
6 


5.735 




.8 






Oiher assaults 


9,997 

1.285 

5.756 

204 

2.069 
2.866 

2,266 

339 

802 

15,610 

40 

950 
26.752 

4,593 
8,222 
9.058 

255 

36.645 
101 


10,090 

1.355 

5.868 

190 

1,837 
2,603 

2,134 

442 

788 

15,272 

44 

1.018 
27,444 

3,604 
8,349 

8,276 
265 

35,553 
96 


10.549 
1.409 
5.904 

272 

1.757 
2.401 

2.044 

406 

860 

15.882 

59 

1.207 
29.038 

3.061 

8.692 

8.380 

285 

35.713 
109 


49.490 

6,295 

28,052 

931 

7,135 
10,070 

8,810 

2,252 

4,154 

70,743 

299 

6,182 
1.38,544 

10,684 

42,589 

34,.307 

1,167 

155,739 
429 


36,972 

4,666 

22,652 

692 

4.971 
6.488 

6.450 

1.636 

3.591 

48.743 

387 

5.800 
108.538 

6.504 

36.527 

23.722 

886 

1 1 3.605 
280 


22.811 

2.809 

15.478 

479 

2,934 
3.587 

4.081 

984 

2,741 

27,180 

376 

4.132 
73.177 

3.758 

27.055 

14.119 

591 

68.450 
175 


13.578 

1.384 

9.505 

322 

1.534 
1,943 

2,571 

428 

1,970 

11,985 

.367 

2,408 
49,646 

2.372 

18.026 

8.601 

309 

38.595 
89 


7.600 
634 

4.906 
145 

857 
950 

1.497 

226 

1.269 
5.121 

337 

1.180 
32.083 

1.459 

11.987 

4.895 

170 

21,384 
51 


4,142 

315 

2,483 

64 

366 
490 

851 

117 

755 
2,102 

275 

513 
19,788 

859 

7,756 

2,829 

85 

1 1.441 
23 


2.434 

161 

1.279 

45 

229 
289 

507 

80 

585 
991 

202 

273 
12,715 

590 

5,611 

1,666 

68 

6,497 
16 


1.494 

80 

700 

23 

107 
218 

348 

49 

401 

457 
153 

157 
7.994 

429 

3.789 

1.150 

35 

4.058 

7 


1.632 




43 




723 




13 


Stolen property; buying, receiving. 


100 




231 


possessing etc 


312 


Prosiilulion and 


40 


Sex offenses (except forcible 


579 




385 




155 


OfTenses against family and 


132 




5.770 


Liquor laws 


429 




3.259 




1,224 




39 


AH other offenses (except 
tralTic) 


3,941 
14 


Curfew and loitering law 



















'Includes suburban city and county law enforcemeni agencies within melropoliian areas. Excludes central cities. Suburban cities and counties are also included in other groups. 

^Because of rounding, the percentages may not add lo total. 

'Violeni crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 

•Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 

'Includes arson. 



223 



Table 60.— Suburban Area' Arrests of Persons under 15, 18, 21 and 25 Years of Age, 1989 

[4.958 agencies; 1989 estimated population 79,923,000] 



Offense charged 



Total 
all ages 



Number of persons arrested 



Under 15 Under 18 Under 2 



Under 25 



Percent of total all ages 



Under 
15 



Under 
18 



Under 



Under 

25 



TOTAL 

Murder and nonneghgent 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 

Liguor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) 

Suspicion 

Curfew and loitering law violations 

Runaways 



3.734,558 



3.695 

9.032 

24.250 

99.341 

111,582 

410,477 

45,969 

5,229 



136.318 
573.257 



709,575 



244,349 
28,722 

121,944 

4,533 

49,135 

89,470 

52.373 

8.274 

26.775 

305,404 

3.337 

27.786 

617,083 

188.398 

217,928 

196.905 

6.5 1 1 

766.963 

2.909 

19,721 

46,463 



195.410 



586,573 



1.148,843 



1,758,907 



5.2 



15.7 



45 

484 

1.211 

3.860 

15,049 

53,379 

4,871 

1,798 



339 

1.399 

4.569 

12,666 

38.976 

123.857 

18,496 

2.591 



898 

2,584 

9.344 

24.977 

61.776 

186,703 

27,473 

3.157 



1.510 

4.031 

14,066 

40.853 

77.901 

237.676 

33.682 

3,651 



1.2 

5.4 

5.0 

3.9 

13.5 

13.0 

10.6 

34.4 



9.2 
15.5 
18.8 
12.8 
34.9 
30.2 
40.2 
49.6 



5,600 
75,097 



18,973 
183.920 



37,803 
279.109 



60,460 
352.910 



4.1 
13.1 



13.9 
32.1 



80.697 



202.893 



316.912 



413.370 



28.6 



13,430 

287 

360 

13 

3,340 

19,545 

2,459 

26 

2.358 

3.098 

31 

305 

121 

3,937 

759 

11,880 

271 

26,911 

339 

6.070 

19.173 



35.403 
2.106 

2,120 

292 

12.495 

39.404 

8.966 

156 

4.827 

24.133 

234 

865 

6.788 

50,063 
6.543 

36.145 
1.007 

84.964 
985 

19.721 

46.463 



63,743 
6,899 
13.417 
947 
22.904 
54.076 
18.051 

914 

7.402 

74.962 

612 

2.946 
58.262 

143.653 

27,151 

68.391 

2.088 

197.914 

1.415 

19.721 

46.463 



104,196 
12,335 
36,166 
1.819 
30.902 
65.204 
26,946 

2,462 

10,730 

137.696 

786 

7.009 

167.828 

161.314 

61.329 

104,392 

3,161 

343.253 

1.825 

19.721 

46.463 



5.5 

1.0 
.3 
.3 

6.8 
21.8 

4.7 

.3 
8.8 
1.0 

.9 
1.1 
(5) 

2.1 

.3 

6.0 

4.2 

3.5 

11.7 

30.8 

41.3 



14.5 

7.3 

1.7 

6.4 

25.4 

44.0 

17.1 

1.9 
18.0 
7.9 
7.0 
3.1 
1.1 

26.6 

3.0 

18.4 

15.5 

11.1 

33.9 

100.0 

100.0 



30.8 



24.3 
28.6 
38.5 
25,1 
55.4 
45.5 
59.8 
60.4 



27.7 
48.7 



44.7 



26.1 
24,0 
1 1.0 
20.9 
46,6 
60.4 
34.5 

11.0 
27,6 
24.5 
18.3 
10.6 
9.4 

76.2 
12.5 
34.7 
32.1 
25.8 
48.6 
100.0 
100.0 



47.1 



40.9 
44.6 
58.0 
41.1 
69.8 
57.9 
73.3 
69.8 



44.4 
61.6 



58.3 



42.6 
42.9 
29.7 
40.1 
62.9 
72.9 
51.5 

29.8 
40.1 
45.1 
23.6 
25.2 
27.2 

85.6 
28.1 
53.0 
48.5 
44.8 
62.7 
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 arc offenses of burglary, larceny-theft, motor vehicle theft, and arson. 

'Includes arson. 

'Less than one-tenth of I percent. 



224 



fable 61— Suburban Area' Arrests, Distribution by Sex, 1989 

4.')?S agencies. I'JS'i csimulcd population 7>),>):i,000| 



OOcnsc charged 



Number of persons arrested 



Total 



Male 



Female 



Percent 
male 



Percent 
female 



Percent distribution- 



Total 



Male 



Female 



TOTAl 

Murder and nonncgligcnt manslaughter 

"orciblc rape 

lobbers 

Aggravated assault 

lurglar> 

.arccny-theft 

»1otor vehicle theft 

Arson 

Violent crime' 

Property crime* 

Crime Index total' 

Jther assaults 

■orger> and counterfeiting 

■raud 

Embezzlement 

itolen property; buying, receiving, possessing 

/andalism 

\'eapons; carrying, possessing, etc 

'restitution and commercialized vice 

Jex offenses (except forcible rape and 

prostitution) 

Drug abuse violations 

jam hi I ng 

Dffenses against family and children 

Driving under the influence 

_iquor laws 

Drunkenness 

Disorderly conduct 

i'agrancy 

Ml other offenses (except traffic) 

suspicion 

?urfew and loitering law violations 

Runaways 



3,734.558 



.^,695 

9,0.12 

24,250 

99.341 

111.582 

410.477 

45.969 

5.229 



136.318 

573.257 



709,575 



244.349 
28.722 

121,944 

4.533 

49,135 

89,470 

52,373 

8.274 

26,775 

305.404 

3.337 

27,786 
617.083 

188.398 

217.928 

196,905 

6.511 

766,963 

2.909 

19.721 

46.463 



3,055,533 



679,025 



81.8 



18.2 



IIH).0 



3.191 

8.912 

22.272 

87.284 

102.032 

282.8.13 

41.214 

4.607 



504 

120 

1.978 

12.057 

9.550 

127.644 

4.755 

622 



86.4 
98,7 
91.8 
87.9 
91,4 
68,9 
89.7 
88.1 



13,6 
I .1 

8,2 
12,1 

8.6 
31,1 
10.3 
11,9 



,1 

2 

.6 

2.7 

3,0 

11,0 

1,2 

,1 



121.659 
430.686 



14.659 
142.571 



89,2 
75,1 



10,8 

24,9 



3,7 
15,4 



552,345 



157.230 



77.8 



19,0 



204.906 
18.944 
63.458 
2.772 
42,978 
80.205 
48.710 

3.085 

25,492 

254,335 

2.719 

24.310 
540.096 

151.137 

196.632 

162.383 

5.421 

637.694 

2.454 

14.455 

21.002 



39.443 
9.778 

58.486 
1.761 
6.157 
9.265 
3,663 

5.189 

1.283 

51.069 

618 

3.476 
76.987 

37.261 

21.296 

34.522 

1.090 

129.269 

455 

5.266 

25.461 



83,9 
66,0 
52,0 
61,2 
87.5 
89.6 
93.0 

37,3 

95,2 
83.3 
81,5 
87,5 
87,5 

80.2 
90.2 
82,5 
83,3 
83,1 
84,4 
73,3 
45,2 



16,1 
34.0 
48.0 
38,8 
12,5 
10.4 
7.0 

62,7 



6,5 
,8 
3,3 
.1 
1.3 
2.4 
1.4 



4,8 


,7 


16,7 


8.2 


18,5 


.1 


12.5 


.7 


12.5 


16.5 


19.8 


5.0 


9,8 


5,8 


17.5 


5,3 


16.7 


2 


16.9 


20,5 


15,6 


.1 


26,7 


,5 


54,8 


1,2 



100.0 



I 

,3 
.7 
2,9 
3.3 
9,3 
1,3 
.2 



4,0 
14,1 



18,1 



6,7 
,6 
2,1 
,1 
1.4 
2.6 
1.6 



8.3 
,1 
.8 

17,7 

4.9 
6.4 

5.3 

2 

20,9 

,1 

,5 

,7 



100.0 



.1 

(3) 
.3 
1.8 
1.4 
18.8 
.7 
.1 



2,2 
21,0 



23.2 



5,8 
1,4 
8.6 
.3 
.9 
1.4 
.5 



.2 

7.5 

.1 

.5 

11.3 

5.5 

3.1 

5.1 

2 

19.0 

.1 

,8 

3.7 



'Includes suburban city and county law enforcement agencies wiihin metropolitan areas Excludes central cities. Suburban cities and counties are also included in other groups, 

^Because of rounding, the percentages may not add to total, 

'Less than one-tenth of one percent, 

'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault, 

'Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 

'Includes arson. 



225 



Table 62.— Suburban Area' Arrests, Distribution by Race, 1989 

[4,948 agencies; 1989 estimated population 79,592,000] 





Total arrests 




Percent distribut 


on- 




Offense charged 


Total 


White 


Black 


American 

Indian 

or 

Alaskan 
Native 


Asian 

or 
Pacific 
Islander 


Total 


While 


Black 


American 
Indian 

or 
Alaskan 
Native 


Asian 

or 
Pacific 
Islander 


TOTAL 


3,715,103 


2,928,537 


754,914 


15,548 


16,104 


100.0 


78,8 


20,3 


.4 


.4 






Murder and nonnegligent manslaughter ... 


3.676 

8,999 

24.192 

99.065 

111.210 

409.568 

45.841 

5.216 


2.359 

6.153 

11.456 

71.090 

85.950 

294.105 

32,048 

4.422 


1.283 

2.761 

12,555 

26,962 

24,283 

110.083 

13.275 

748 


19 

46 

87 

518 

469 

1,945 

212 

16 


15 

39 

94 

495 

508 

3,435 

306 

30 


100.0 
100.0 
100.0 
100.0 
100.0 
100,0 
100.0 
100.0 


64.2 
68.4 
47.4 
71.8 
77.3 
71.8 
69.9 
84,8 


34.9 
30.7 
51.9 
27.2 
21.8 
26.9 
29.0 
14,3 


,5 
,5 
,4 
,5 
.4 
,5 
.5 
.3 


.4 
.4 




.4 




.5 




,5 




.8 


Motor vehicle theft 


.7 




.6 








135.932 
571.835 


91.058 
416.525 


43,561 
148,389 


670 
2,642 


643 

4,279 


100.0 
100.0 


67.0 
72.8 


32.0 
25.9 


.5 

.5 


.5 


Property crime* 


,7 








707,767 


507.583 


191,950 


3,312 


4,922 


100.0 


71.7 


27.1 


.5 


,7 








243,932 

28,595 

121,854 

4,5.30 

48,949 
89,228 
52,240 

8,269 

26,702 

304,788 

3,336 

27,578 
605,424 

187,762 

217,722 

196,191 

6,508 

764,949 

2,900 

19.576 

46.303 


182.121 

20.185 

86.245 

2.970 

32.397 
75.932 
37.407 

5.658 

23.040 

216.306 

2.339 

19.301 
560,725 

175,109 

189,909 

153,778 

4,388 

572,939 

2,285 

16,985 

40.935 


59,597 
8,192 

35,177 
1,526 

16,145 
12,686 
14,399 

2,507 

3,417 

87,168 

898 

8,146 
39,676 

10,984 

25,014 

41,144 

2,077 

186,305 

596 

2,444 

4,866 


1,120 

105 

214 

9 

154 
280 
127 

38 

111 

661 

6 

63 

2,114 

941 
2,189 

754 

26 

2,950 

8 

79 

287 


1,094 
113 
218 

25 

253 
330 
307 

66 

134 

653 

93 

68 

2,909 

728 
610 

515 

17 

2,755 

11 

68 

215 


100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 

100.0 

100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100,0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


74.7 
70.6 
70.8 
65.6 

66.2 
85.1 
71.6 

68.4 

86.3 
71.0 
70.1 
70.0 
92.6 

93.3 
87.2 
78.4 
67.4 
74.9 
78.8 
86.8 
88.4 


24.4 
28.6 
28.9 

33.7 

33.0 
14.2 
27.6 

30.3 

12.8 
28,6 
26.9 
29,5 
6.6 

5.8 
11.5 
21.0 
31.9 
24.4 
20.6 
12.5 
10,5 


.5 
.4 
,2 

,2 

,3 
,3 

,2 

,5 

.4 
,2 
.2 
,2 
,3 

,5 
1.0 
.4 
.4 
.4 
.3 
.4 
.6 


,4 




.4 




.2 




.6 


Stolen property; buying, receiving. 


.5 




,4 


Weapons; carrying, possessing, etc 

Prostitution and commercialized vice 

Sex offenses (except forcible rape and 


,6 
.8 
.5 




,2 




2.8 


Offenses against family and children 


.2 
,5 




.4 


Drunkenness 


.3 


Disorderly conduct 


.3 




.3 




.4 




.4 


Curfew and loitering law violations 


.3 
.5 







See footnotes at end of table. 



226 



Table 62. — Suburban Area' Arrests, Distribution by Race, 1989 — Continued 



OfTensc charged 



Arrests under 18 



Tola I 



While 



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 

Robber> 

Aggravated assault 

Burglar> 

Larceny-theft 

Motor vehicle theft 

Arson 

Violent crime' 

Property crime* 

Crime Index total* 

Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving. 

possessing 

Vandalism 

Weapons; carrying, possessing, etc. . . . 

Prostitution and commercialized vice . 
Sex offenses (except forcible rape 

and prostitution) 

Drug abuse violations 

Gambling 

Offenses against family and children 
Driving under the influence 

Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) 

Suspicion 

Curfew and loitering law violations ... 
Runaways 



584.571 



.■t.14 
l..^89 
4.565 

i:,6:.i 

38.850 

123,596 

18.443 

2.585 



18.911 
183.474 



202.385 



35.346 

2.099 

2.113 

290 

12.445 

39.255 

8.937 

156 

4,809 

24.066 

234 

849 

6.708 

49.883 
6.529 

35.929 
1.007 

84,669 
983 

19,576 

46,303 



476.076 



1(I2.,W6 



2.591 



3,598 



100.0 



81.4 



17,5 



196 

954 

2.182 

8.516 

32, 1 79 

96.674 

12.835 

2,314 



133 

426 

2,340 

3,996 

6,251 

24,973 

5,325 

236 



6 
18 
36 
156 
684 
98 
II 



3 

3 

25 

75 

264 

1,265 

185 

24 



100.0 
100,0 
100,0 
100.0 
100.0 
100.0 
100,0 
100.0 



58.7 
68.7 
47,8 
67,5 
82.8 
78.2 
69.6 
89.5 



39.8 
.30.7 
51.3 
31.7 
16.1 
20.2 
28.9 
9.1 



11.848 
144,002 



6.895 
36.785 



62 
949 



106 

1.738 



1 00.0 
100.0 



62.7 
78.5 



36.5 
20.0 



155.850 



43,680 



I.OII 



1,844 



100.0 



77.0 



21.6 



26.104 

1.768 

1.563 

202 

8.284 

34.788 

6,640 

103 

3,931 

1 6,940 

153 

752 

6,495 

48,076 

6,074 

28,571 

803 
70,255 

804 
16.985 
40.935 



8.897 

305 

531 

85 

4.014 
4.161 
2.181 

53 

840 

7.014 

74 

92 

175 

1.365 
371 

7.128 

195 

1 3.663 

172 

2.444 

4.866 



151 

16 

3 



43 
113 
29 



194 

10 

16 

3 

104 
193 
87 



3 
20 

276 

60 

120 

4 

289 

2 

79 

287 



II 

54 
7 
2 

18 

166 

24 
110 

5 

462 

5 

68 

215 



100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 

100.0 

100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



73.9 
84.2 
74,0 
69.7 

66,6 
88,6 
74.3 

66.0 

81.7 
70.4 
65.4 
88.6 
96,8 

96,4 
93.0 
79.5 
79.7 
83.0 
81.8 
86.8 
88.4 



25.2 
14.5 
25.1 
29.3 

32,3 
10.6 
24.4 

34.0 

17.5 
29.1 
31.6 
10.8 
2.6 

2.7 
5.7 
19.8 
19.4 
16.1 
17.5 
12.5 
10.5 



.5 
,6 
,7 
1.0 
1.0 
.9 



.6 
.9 



.5 
.5 



1.0 



.5 
I.O 



.2 
.2 
3.0 
.2 
.3 

.3 
.4 
,3 
,5 
,5 
,5 
.3 
.5 



See footnotes at end of table. 



227 



Table 62. — Suburban Area' Arrests, Distribution by Race, 1989 — 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 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 traffic) .. 

Suspicion 

Curfew and loitering law violations 
Runaways 



3,130,532 



3,342 

7,610 

19,627 

86,442 

72,360 

285,972 

27,398 

2.631 



117,021 
388,361 



505,382 



208,586 

26,496 

119,741 

4,240 

36,504 
49,973 
43,303 

8,113 

21,893 

280,722 

3,102 

26,729 
598,716 

137,879 
211,193 
160,262 

5,501 
680,280 

1,917 



2,452.461 



652,608 



12,957 



12,506 



100.0 



78.3 



20.8 



2,163 

5,199 

9,274 

62,574 

53,771 

197.431 

19,213 

2,108 



1,150 

2,335 
10,215 
22,966 
18,032 
85,110 

7,950 
512 



17 

40 

69 

482 

313 

1,261 

114 

5 



12 

36 

69 

420 

244 

2,170 

121 

6 



100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



64.7 
68.3 
47.3 
72.4 
74.3 
69.0 
70.1 
80.1 



34.4 
30.7 
52.0 
26.6 
24.9 
29.8 
29.0 
19,5 



79,210 
272,523 



36,666 
111,604 



608 
1,693 



537 
2,541 



100.0 
100.0 



67.7 
70.2 



31.3 
28.7 



351,733 



148,270 



2.301 



3.078 



100.0 



69.6 



29.3 



156,017 

18,417 

84,682 

2,768 

24,113 
41.144 
30,767 

5,555 

19.109 

199,366 

2,186 

18,549 
554,230 

127,033 
183,835 
125,207 

3,585 
502,684 

1,481 



50,700 
7,887 

34,646 
1,441 

12,131 
8,525 
12,218 

2,454 

2,577 

80,154 

824 

8,054 
39,501 

9,619 

24,643 

34,016 

1,882 

172,642 

424 



969 

89 

211 

9 

111 
167 
98 

38 

84 

603 

6 

60 

2,094 

665 

2,129 

634 

22 

2,661 

6 



900 
103 
202 

22 

149 
137 
220 

66 

123 

599 

86 

66 

2,891 

562 

586 

405 

12 

2,293 

6 



100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 

100.0 

100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



74.8 
69.5 
70.7 
65.3 

66.1 
82.3 
71.1 

68.5 

87.3 
71.0 
70.5 
69.4 
92.6 

92.1 
87.0 
78.1 
65.2 
73.9 
77.3 



24.3 
29.8 
28.9 
34.0 

33.2 
17.1 
28.2 

30.2 

11.8 
28.6 
26.6 
30.1 
6.6 

7.0 
11.7 
21.2 
34.2 
25.4 
22,1 



'Includes suburban cily and county law enforcement agencies within metropolitan areas. Excludes central cities. Suburban cities and counties are also included in other groups, 

'Because of rounding, the percentages may not add to total, 

'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 

'Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 

'Includes arson. 



228 



able 63.— Arrests by Slate, Crime Index OfTenses. 1989 

98^ estimated population) 



ST\TE 



Total' 
all 



Crime' 
Index 

loul 



Violent' 
crime 



Property* 

crime 



Murder 
and nun- 
ncghgent 

nian- 
slaughler 



Forcible 
rape 



Aggravated 
assault 



Burplar\ 



Larcenv- 
Ihell 



Motor 

\ehiclc 

I hell 



.LABAMA: 206 agencies; 
opulation .V530,000; 

Indcr 18 

Ola! all ages 



.LASKA: 23 agencies; 
opulation 500.000: 

Indcr 18 

olal all ages 



,RI/.ONA: 78 agencies; 
opulation 2.994.000: 

)nder 18 

otal all ages 



.RKANSAS: 175 agencies: 
opulation 2,179.000: 

Jnder 18 

otal all ages 



ALIFORNI.A: 700 agencies; 
opulation 28.799,000: 

Jnder 18 

otal all ages 



Ol.ORADO: 219 agencies; 
opulation 3,293.000: 

Jnder 18 

otal all ages 



ONNECTICL T: 95 

gencies; 

opulation 2.531.000: 

Jnder 18 

olal all ages 



)ELA\VARE: 55 agencies; 
opulation 673.000: 

Jnder 18 

olal all ages 



)ISTRICT OF COLUMBIA: 

agency; 
opulation 604.000: 

Jnder 18 

"otal all ages 



LORIDA: 716 agencies; 
opulation 12.671.000: 

Jnder 18 

"olal all ages 



iEORGIA: 374 agencies; 
opulation 5.055.000; 

Jnder 18 

"olal all ages 



IA\V.\II: 5 agencies; 
opulation 1.112.000; 

Jnder 18 

"otal all ages 



DAHO: 89 agencies; 
opulation 975.000: 

Jnder 18 

"olal all ages 



17,294 
216.829 



5..308 
32.712 



37,164 
190.447 



12.622 
129.865 



236,881 
.896.738 



48.073 
236.854 



26,239 
187,543 



5,917 
38,314 



5,922 
50,121 



81,580 
683.453 



21.458 
313.182 



I 5.962 
63.405 



13,510 
46.269 



6.484 
35.667 



2.513 
6.636 



14.739 
48,654 



4,580 
1 7,806 



104.562 
440,851 



16.908 
46,668 



9.159 
42.476 



1.856 
7.293 



2.253 
10.929 



46.997 
196.530 



8.395 
69,547 



5,182 
12.070 



5.364 
10.701 



792 
9.976 



111 
956 



1.108 
6,846 



313 
2,832 



17.037 
130,325 



1,414 
7,980 



1,137 
8,114 



214 
1,692 



612 

3.5 1 7 



7,614 
50,537 



1,521 
18,945 



226 
1,174 



390 
1,656 



5,592 
25,591 



2,402 
5,58(1 



13,531 
41,808 



4,267 
14,974 



87,525 
310,526 



15,494 
38,688 



8,022 
.M,362 



1,642 
5,601 



1,641 
7,412 



39,383 
145,893 



6,774 
50,502 



4.955 
10.895 



4,974 
9,045 



43 
379 



9 
148 



9 
151 



532 
3,401 



14 
165 



33 

142 



5 
24 



53 
291 



148 
1,291 



61 
676 



4 
60 



23 
539 



12 
70 



27 
241 



33 
294 



605 
4,555 



77 
516 



52 
379 



33 

227 



23 
98 



338 
2,416 



79 
1,051 



17 
159 



186 
1,597 



12 

77 



234 
1,077 



102 

475 



6,150 
27,132 



273 
914 



311 
1,633 



315 



171 
1,239 



2,294 
12,261 



458 
4,129 



90 

304 



9 

75 



540 
7.361 



85 

787 



838 
5,380 



159 
1.912 



9,750 
95,236 



1,050 
5,384 



741 
5.960 



148 
1.126 



355 



4,834 
34,569 



1 ,023 
1 3,089 



115 
651 



366 

1.484 



1,145 
4,785 



433 
855 



2,853 
7,049 



1.222 
3,278 



23,018 
81,185 



2,256 
4,850 



1,595 
6,319 



358 
1,080 



123 
1,089 



10,723 
35,498 



1,653 
10,660 



1,032 
1,810 



900 

1,749 



4,205 
19,528 



1,720 
4,339 



9,694 
32,774 



2,785 
11,045 



45.408 
177,107 



11,244 
30,400 



5,125 
25,529 



1 , 1 36 
4,205 



216 
3.269 



23.177 
95.793 



4,259 
36,083 



3,285 
7,815 



3,832 
6,919 



329 
1,334 



243 
455 



912 
1,707 



231 

558 



17,915 
49,955 



1,758 
3,093 



1,099 
2,285 



134 
285 



1,294 
3,008 



5,278 
13,960 



823 
3.482 



630 

1.252 



195 
315 



See footnotes at end of table. 



229 



Table 63. — Arrests by State, Crime Index Offenses, 1989 — Continued 



STATE 



Crime^ 
Index 

lotal 



Violenl* 
crime 



Properly^ 
crime 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggravated 
assault 



Burglary 



Larceny- 
thel'l 



Motor 

vehicle 

theft 



ILLINOIS: 495 agencies: 
population 10,913,000: 

Under 18 

Total all ages 



INDIANA: 119 agencies; 
population 3.437,000: 

Under 18 

Total all ages 

IOWA: 221 agencies; 
population 2,811,000: 

Under 18 

Total all ages 



KANSAS: 239 agencies; 
population 2,297,000: 

Under 18 

Total all ages 



KENTUCKY: 309 agencies; 
population 2,241,000: 

Under 18 

Total all ages 



LOUISIANA: 78 agencies; 
population 3,079,000; 

Under 18 

Total all ages 



MAINE: 122 agencies; 
population 1,001.000: 

Under 18 

Total all ages 



MARYLAND: 146 agencies; 
population 4.584,000: 

Under 18 

Total all ages 



MASSACHUSETTS: 170 

agencies; population 
3,608,000: 

Under 18 

Total all ages 



MICHIGAN: 449 agencies; 
population 8,323,000: 

Under 18 

Total all ages 



MINNESOTA: 289 agencies: 
population 4.351,000: 

Under 18 

Total all ages 



MISSISSIPPI: 64 agencies; 
population 995.000: 

Under 18 

Total all ages 



MISSOURI: 184 agencies; 
population 3.548,000: 

Under 18 

Total all ages 



MONTANA: 12 agencies; 
population 228.000: 

Under 18 

Total all ages 



118,110 
562,156 



34,811 
1 5 1 .460 



21.312 
108,738 



19,479 
96,422 



5,01 1 
111,687 



24,721 
168,246 



7,660 
44,624 



36,345 
261,118 



15,633 

137,707 



58,846 
396,133 



43,773 
175,735 



8,481 
68,803 



34.169 
245.686 



1.535 
6.645 



39,988 
140.296 



11,030 
27,849 



7,586 
23,476 



7,250 
19,815 



1,873 
1 3,606 



10,464 
42,487 



3,2 1 2 
8,963 



16,348 
57,058 



6,472 
37,663 



23,962 
82,829 



17,058 
37,916 



3,498 
14,194 



12,332 
50,602 



584 
1,657 



6.545 
27,035 



1.140 
4.990 



435 

4.234 



508 
2.766 



162 
4,081 



1,555 
10,853 



100 
993 



2,294 
11.606 



1,629 
12,515 



3.505 
21,323 



1,270 
5,120 



284 
2,437 



1,906 
12.280 



9 
103 



33,443 
113,261 



9,890 
22,859 



7,151 
19,242 



6,742 
1 7,049 



1,711 
9.525 



8.909 
31.634 



3,112 
7.970 



14,054 
45,452 



4,843 
25,148 



20,457 
61,506 



15,788 
32,796 



3,214 
11.757 



10,426 
38,322 



575 
1,554 



120 
1.118 



16 
156 



4 

47 



9 

77 



113 



73 
425 



17 



49 
462 



17 
103 



246 
2,133 



7 
102 



7 
126 



85 
468 



408 
1,670 



31 
191 



107 



28 
181 



31 
213 



84 
568 



12 



13 
76 



160 
850 



89 
702 



393 

2,278 



65 
502 



42 
232 



108 

722 



13 



2,600 
6,916 



105 
666 



66 
384 



95 
456 



23 
336 



443 
2,041 



19 

137 



784 
3.663 



373 
2.670 



870 
4.979 



287 
960 



62 
470 



568 
2.6.36 



12 



3,417 
17.331 



988 

3,977 



343 
3,696 



376 
2,052 



106 
3,419 



955 
7.819 



68 
763 



1,-301 
6,631 



1,150 
9,040 



1,996 
11,933 



911 
3,556 



173 
1,609 



1,145 
8,454 



7 
66 



6,105 
15,977 



1.329 
3,065 



1,324 
3,163 



1.563 
3.313 



338 
1.672 



2.218 
7,224 



751 
1,707 



2,740 
10,658 



1.185 
5.637 



3.547 
12.700 



1.796 
4,213 



838 
2.532 



1.971 
6.930 



44 
135 



23.078 
85.845 



7,594 
17,942 



5.241 
15.098 



4,543 
12,556 



1,228 
7,173 



5,953 
23,040 



2,097 
5,669 



7,302 
27,163 



2,300 
15,533 



14,874 
43,781 



11,359 
24,189 



2,130 
8,626 



6,852 
27,807 



479 
1,326 



3.990 
10.820 



876 
1.673 



491 
798 



556 
1,002 



126 

563 



656 
1.174 



206 

473 



3.708 

7.072 



1.298 
3.762 



1.798 
4.258 



2.471 
4,098 



228 
512 



1.501 
3.289 



48 
86 



See footnotes at end of table. 



230 



able 6.1.— Arrests by State, Crime Index Offenses, 1989— Continued 



STATE 



Total' 

all 
classes 



Index 
lolal 



Violent' 
crime 



Pro pen y* 
LTimc 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Aggravated 
assault 



Burglary 



Larceny- 
theft 



Motor 

vehicle 

theft 



EBRASkA: 20.1 agencies; 
jpulalion 1.428.000: 

ndcr 18 

olal all ages 



EN'ADA: 18 ageneies; 
jpulalion 82'J.OOO: 

ndcr 18 

Dial all ages 



lEW HAMPSHIRE: 81 
jencics; population 905,000: 

nder 18 

olal all ages 



EW JERSEY: 558 

;encics; 

apulation 7.628.000: 

nder 18 

olal all ages 



EW MEXICO: 54 

;encies: 

jpulalion 1.035.000: 

nder 18 

olal all ages 



E\V YORK: 5.^3 agencies: 
jpulalion 17.014.000: 

nder 18 

olal all ages 



ORTH CAROLINA: 246 

;encies: population 
811.000: 

nder 18 

olal all ages 



ORTH DAKOTA: 

;encies; 

jpulalion 535.000: 

nder 18 

olal all ages 



63 



'HIO: 21 1 agencies; 
opulaiion 5.951.000: 

nder 18 

olal all ages 



"KLAHOMA: 275 agencies; 
opulalion 3.205.000: 

'nder 18 

olal all ages 



IREGON: 196 agencies; 
opulalion 2.788.000: 

Inder 18 

'olal all ages 



■ENNSYLVANIA 

gencies; 

opulalion 8,450,000: 

Jnder 18 

Olal all ages 



714 



:H0DE ISLAND: 42 

gencies; 
opulalion 919.000: 

Under 18 

olal all ages 

See footnotes at end of table 



14.025 
68,901 



9.480 
72.758 



5.611 
38,698 



88.445 
427.463 



1 3,358 
74,165 



135.714 
,074.994 



25.920 
304.734 



4.869 
16.900 



55.977 
310,057 



25,493 
144.050 



31.133 
145.425 



69,092 
303.830 



9,261 
45.261 



5,185 
13,375 



2,815 
1 1 ,406 



1.543 
5,479 



22.842 
79,274 



5,142 
15,252 



46,495 
208.452 



10,558 
57.565 



1,593 
3,162 



16,990 
56,061 



11,230 

28,573 



11.275 
35,035 



19,705 
74,729 



2,504 
8,412 



217 
1,199 



238 
1,879 



49 
576 



4.542 
20,651 



430 
2,613 



14,553 
71,804 



1.483 
15,600 



26 
146 



1,781 
12.053 



1.047 
5.046 



664 
4, 1 34 



3,253 
19,574 



266 
1.625 



4,968 
12.176 



2,577 
9,527 



1,494 
4,903 



1 8,300 
58,623 



4,712 
12,639 



31,942 
1 36,648 



9,075 
41.965 



1,567 
3.016 



15.209 
44.008 



10.183 

23,527 



10,611 
30,901 



16,452 
55.155 



2,238 
6.787 



9 

47 



80 



15 



37 
326 



9 
65 



220 
1,650 



42 
475 



32 
457 



23 
175 



17 
142 



69 
655 



44 
245 



21 



17 
115 



161 
1,181 



117 



361 
2,311 



67 
604 



6 
41 



278 
1.256 



87 
408 



81 
412 



223 
1.214 



15 
111 



71 
279 



70 
533 



1,651 
5,514 



53 
254 



8,992 
32,576 



324 
2,137 



706 
3,634 



222 
898 



241 
1,240 



1,274 
6,585 



54 
284 



93 
628 



139 
1,078 



31 
365 



2,693 
13,630 



360 

2,177 



4,980 
35,267 



1,050 
12,384 



765 
6.706 



715 
3,565 



325 
2,340 



1,687 
11,120 



195 
1,202 



580 
1,322 



564 
1,897 



271 
799 



4,255 
11.518 



705 
1,719 



6,042 
25,513 



2,615 
11,647 



169 
348 



2,968 
7,940 



2,240 
5.156 



1,897 
4,750 



3,420 
11.834 



559 
1,576 



4,101 
10,290 



1,878 
7,140 



1,096 
3,839 



12.035 
43,039 



3,752 
10,321 



19,384 
90,155 



5,718 
27,780 



1,258 
2,453 



9,817 
31,552 



6,481 
15,645 



7,400 
22,722 



9,461 
34,896 



1.319 
4,480 



228 
426 



119 
450 



107 
211 



1,759 
3,476 



209 
531 



6,131 
19,991 



660 
2,182 



136 
203 



2,209 
3,996 



1,271 
2,398 



1,136 
3,163 



3,315 
7,690 



300 
615 I 



231 



Table 63.— Arrests by State, Crime Index Offenses, 1989— Continued 



STATE 



SOUTH CAROLINA: 155 

agencies; population 
3,406.000; 

Under 18 

Total all ages 



SOUTH DAKOTA: 

agencies; 
population 287.000: 

Under 18 

Total all ages 



36 



TENNESSEE: 136 agencies; 
population 2.429.000: 

Under 18 

Total all ages 



TEXAS: 772 agencies; 
population 16.541.000: 

Under 18 

Total all ages 



II'IAH: 90 agencies; 
population 1.352.000; 

Under 18 

Total all ages 



Total' 

all 
classes 



VERMONT: 21 agencies; 
population 368.000; 

Under 18 

Total all ages 



VIRGINIA: 394 agencies; 
population 5.910.000; 

Under 18 

Total all ages 



WASHINGTON: 151 

agencies; 

population 3,31 1.000; 

Under 18 

Total all ages 



WEST VIRGINIA: 291 

agencies; 

population 1.845.000; 

Under 18 

Total all ages 

WISCONSIN: 276 agencies; 
population 4.761.000; 

Under 18 

Total all ages 

WYOMING: 70 agencies; 
population 474.000: 

Under 18 

Total all ages 



17.236 
171.391 



3.982 
15.263 



18.627 
I 30.462 



139.123 
882.543 



27.303 
79.466 



780 



38.359 
386.024 



31,286 
185.964 



6.556 
61.892 



91.997 
351,670 



4.955 
23.057 



Cnme^ 
Index 
lulal 



7.542 
29.500 



1,218 
2,686 



5,789 
20,775 



54,178 
191,373 



10,585 
20,093 



327 
1,674 



12.651 
56,374 



14,621 
42,415 



2,576 
10,573 



27,076 
62,286 



1,215 
3,265 



Violent' 
crime 



797 
6,618 



38 
206 



546 
4,561 



4,671 
29.312 



498 
1.661 



Properly* 
crime 



10 

193 



899 
8.699 



802 
4.973 



155 
1.525 



1,407 
7.533 



43 
554 



6.745 
22.882 



1.180 
2.480 



5.243 
16.214 



49.507 
162.061 



10.087 
18.432 



317 
1.481 



11.752 
47.675 



13.819 

37.442 



2.421 
9.048 



25.669 
54.753 



1.172 
2.711 



Murder 
and non- 
negligent 

man- 
slaughter 



21 
303 



25 
170 



173 
1.505 



38 

447 



10 
116 



10 

97 



44 
329 



2 



Forcible 
rape 



90 
684 



14 
42 



82 
413 



263 
2.074 



33 
106 



99 



130 

737 



19 
164 



134 
657 



4 

47 



Robbery 



143 
1.027 



147 
887 



1.513 

7.535 



57 
234 



Aggravated 
assault 



24 



267 
1.981 



202 
979 



66 

322 



427 
1.379 



3 
23 



543 
4.604 



23 
156 



292 
3.091 



2.722 
18.198 



405 
1.298 



Burglary 



495 
5.389 



460 
3.141 



60 
942 



802 
5,168 



34 
462 



1,874 
5,653 



138 
311 



1,016 
3,129 



1 1 ,604 
32,604 



1,221 
2,079 



Larceny- 
theft 



102 
394 



2,376 
8,043 



2.505 
5.849 



677 
1 .903 



3.288 
6.646 



201 
451 



4.270 
15.862 



978 
2.037 



3.471 
1 1 .606 



31.963 
113.489 



8.149 
15.288 



195 
1,006 



7.468 
35.123 



10,165 
29,442 



1,495 
6,493 



19,068 

42,733 



871 
2,068 



Motor 
vehicle 
theft 



551 
1,179 



50 
110 



733 
1,.347 



5,566 
14.979 



617 
935 



17 
60 



1,768 
4,071 



997 
1,891 



221 
528 



3,022 
4,879 



90 
169 



'Does not include traffic arrests. 

^Includes arson, 

'Violent crime includes offenses of murder, forcible rape, robbery, and aggravated assault. 

'Property crime includes offenses of burglary, larccny-thcft. motor vehicle theft, and arson. 

NOTE; Direct comparisons of arrest totals listed in this table should not be made with prior years' issues. 



232 



r«ble 64. — Police Disposition of Juvenile OfTenders Taken into Custody, 1989 

198*^ cslimalcd population] 



Population group 



OTAL ALL AGENCIES: 7,891 agencies; population ISI,S08.000: 



Number 
Percent' 



OTAL CITIES: S,4I9 cities; population 102,640.000: 

Number 

Percent 



Group 1 

I cities. 250.000 and over; population 25.623.000: 

Numt>er 

Percent 



Group II 

cities, 100.000 to 249.999; population 12.870.000: 

Number 

Percent 



Group III 

37 cities, 50.000 to 99.999; population 16.480.000: 

Number 

Percent 



Group IV 

81 cities, 25.000 to 49,999; population 16,560,000: 

Number 

Percent 



Group V 

102 cities, 10,000 to 24.999: population 17,532,000: 

Number 

Percent 



Group VI 

468 cities under 10,000; population 13,574.000: 

Number 

Percent 



Suburban Counties 



S9 agencies; population 29,940,000: 

Number 

Percent 



Rural Counties 



683 agencies; population 18.927.000: 

Number 

Percent 



Suburban Area' 



877 agencies; population 72.834,000: 

Number 

Percent 



Total' 



1,141,991 
100.0 



975,633 
100.0 



245.605 
100.0 



114,467 
100.0 



161.459 
100.0 



162,629 
100.0 



170,461 
100.0 



121,012 
100.0 



114,305 
100.0 



52,053 
100.0 



486,317 
100.0 



Handled 

within 

department 

and released 



' Includes all offenses except traffic and neglect cases. 

' Because of rounding, the percentages may not add to total. 

' includes suburban city and county law enforcement agencies within metropolitan 



328,230 
28.7 



289,261 
29.6 



66,939 
27.3 



30,849 
27.0 



56,786 
35.2 



52,505 
32.3 



49,549 

29.1 



32,633 
27.0 



27,872 
24.4 



11.097 
21.3 



163,211 
33.6 



Referred to 

juvenile 

court 

jurisdiction 



729,572 
63.9 



617,544 
63.3 



171.931 
70.0 



77,324 
67.6 



93,411 
57.9 



97,865 
60.2 



105.391 
61.8 



71,632 
59.2 



78,037 
68.3 



33,981 
65.3 



281,555 
57.9 



Referred to 
welfare 
agency 



19,154 
1.7 



15,009 
1.5 



2,920 
1.2 



3,474 
3.0 



1,854 
I.I 



2,448 
1.5 



2,354 
1.4 



1,959 
1.6 



2,013 
1.8 



2,132 
4.1 



7,034 
1.4 



Referred to 

other police 

agency 



13,143 
1.2 



10,814 
1.1 



1.671 
.7 



860 



3.026 
1.9 



2,357 
1.4 



1.413 



1.487 
1.2 



1.178 
1.0 



1.151 
2.2 



5,772 
1.2 



Referred to 
criminal or 
adult court 



areas. Excludes central cities. Suburban cities and counties are included in other groups. 



233 




Ah a 5iam lEnforr^tnrnt ©ffirrr, my funJumeniJJut^ .. /« 

jfn/« manhind; to safeauarJ fivei and properly; to prolecl Ike innocent a^ainit 
deception, the weak againll oppreiiion or intimidation, ana the peaceful 
aaainit violence or diiorder; ana to reipecl the Conilitutional righti of all 
men to liberty, e^ualit^ anJ justice, 

11 Ultll keep mu private life uniullieJ ai an example to all; maintain coura- 
Qioai calm in the face of danger, jcom, or ridicule; develop ietf-reitraint; and 
ot conitantlu mindful of the welfare of others. J^oneit in thought and deed 
in oollt mu perianal and of ficial life, .y will be exemplary in obeying the laws 
of llie land and the regulations of m^ department. lA/hatever Jj see or hear of 
a confidential nature or that is confided to me in mg official capacity will be 
Kept ever secret unless revelation is necessary in the performance of mif dutg. 

jl mill never act officiouSlg or permit personal feelings, prejudices, animos- 
ities or friendships to influence mg decisions. lA/ith no compromise for crime 
and with relentless prosecution of criminals, .J will enforce the law courteouslg 
and appropriatelu without fear or favor, malice or ill will, never employing 
»ru force or violence and never accepting gratuities. 



unnecessar 



1 rPrDQttlEP the LaJge of'mg office as a sgmbol of public faith, and 
.y accept it as a public trust to be held so long as Jf am true to the ethics of 
the police service, jf will constanllg strive to achieve these objectives and ideals^ 
dedicating mtfself tiefore \jod to mu chosen profession . . . law enforcement. 



234 



SECTION V 
LAW ENFORCEMENT PERSONNEL 



The Nation's law enforcement community employed an 
jverage of 2.2 full-time officers for every 1 ,000 inhabitants 
as of October 31.1 989. Considering full-time civilians, the 
Dverall law enforcement employee rate was 2.9 per 1,000 
nhabitants according to 12,218 city, county, and state 
Dolice agencies reporting in 1989. These agencies collec- 
;ively offered law enforcement service to a population of 
nearly 230 million, employing 496,353 officers and 
180.294 civilians. 

Varying demographic and other jurisdictional character- 
sties greatly affect the requirements for law enforcement 
service from one locale to another. The needs of a 
:ommunity having a highly mobile or seasonal population, 
or example, may be very different from those of a city 
Afhose population is relatively stable. Similarly, a small 
:ommunity situated between two large cities may require a 
greater number of law enforcement personnel than a 
:ommunity of the same size which has no urban centers 
learby. 

The functions of law enforcement are also significantly 
diverse throughout the Nation. In certain areas, sheriffs' 
esponsibilities are limited almost exclusively to civil 
"unctions and/or the administration of the county jail 
"acilities. Likewise, the responsibilities of state police and 



highway patrol agencies vary from one jurisdiction to 
another. 

In view of these differing service requirements and 
responsibilities, care should be used when attempting any 
comparison of law enforcement employee rates. The rates 
presented in the following tables represent national aver- 
ages; they should be viewed as guides or indicators, not as 
recommended or desirable police strengths. Adequate 
personnel for a specific locale can be determined only after 
careful study and analysis of the various conditions affect- 
ing service requirements in that jurisdiction. 

The law enforcement employee average for all cities 
nationwide in 1989 was 2.7 per 1,000 inhabitants. By 
population grouping, city law enforcement employee aver- 
ages were lowest in those with populations from 10,000 to 
99,999, 2.2 per 1,000 inhabitants. The Nation's smallest 
cities, those with fewer than 10,000 inhabitants, employed 
2.9 employees per 1,000 population, while for the largest 
cities (over 250,000 population) the rate was 3.5 per 1,000. 
Rural and suburban counties averaged full-time law en- 
forcement employee rates of 3.6 and 3.3 per 1,000 popula- 
tion, respectively. 

Regionally, the highest law enforcement employee rates 
were in the Northeast and South, each with 2.9. In the 
Midwest the rate was 2.5, and in the West, 2.4. 



■'all-time Law Enforcement Employees', Rate per 1,000 Inhabitants, Region and Population Group, October 31, 1989 

1989 estimated populaiion] 

Population group 



Region 


Total 

(9,295 cities; 

population 

153,189,000) 


Group 1 (59 

cities, 250,000 

and over; 

population 

43,419,000) 


Group II (122 

cities, 100,000 

to 249,999; 

population 

1 7,904,000) 


Group III (308 

cities, 50,000 

to 99,999; 

population 

21,034,000) 


Group IV (647 

cities, 25,000 

to 49,999; 

population 

22,231,000) 


Group V (1.605 

cities. 10,000 

to 24,999; 

population 

25,106,000) 


Group VI 

(6,554 cities 

under 10,000; 

population 

23,494,000) 


OTAL. 

9.295 Cities; 

population 153,189,000: 
average number of employees 
per 1,0(K1 mhabilants 


2.7 


3.5 


2.4 


2.2 


2.2 


2.2 


2.9 


a'oftheastem Slates: 

2,285 Cities; 
population 37,031,000: 
Vverage number of employees 
per 1 000 inhabitants .,, . 


2.9 
2.5 
2,9 

2.4 


4,6 
3.9 
3,1 

2,7 


3,3 
2.1 
2.6 
2.0 


2.4 
2,0 
2,7 
1,9 


2.4 
1,8 
2.5 
2.0 


2.1 
2.0 
2.5 

2,2 


2,2 


tlidweslem States: 

2.554 cities; 
population 38,793,000: 
\verage number of employees 


2.5 


iouthem States: 

3,210 cities; 
population 43,470.000: 
iverage number of employees 
per 1,000 inhabitants 


3.7 


Veslem States: 

1.246 cities; 
population 33,895,000: 
iverage number of employees 
per 1 ,000 inhabitants 


3.7 



'Includes civilians. Population figures were rounded to the nearest thousand. All rates were calculated before rounding. 



235 



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 rates ranged from 1.7 for cities with popula- 
tions of 25,000 to 99,999 to 2.7 in cities with 250,000 or 
more inhabitants. Suburban county law enforcement agen- 
cies averaged 2.2 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. 

Males comprised 92 percent of all sworn employees 
nationally and in all cities collectively. Ninety-four percent 
of the officers in rural counties and 89 percent of those in 
suburban counties were males. 



Full-time Law Enforcement Officers, Rate per 1,000 Inhabitants, Region and Population Group, October 31, 1989 

[1989 estimated population) 

Population group 



Region 


Total 

(9,295 cities; 

population 

153,189,000) 


Group 1 (59 

cities, 250.000 

and over; 

population 

43,419,000) 


Group II (122 

cities, 100,000 

to 249,999; 

population 

1 7,904,000) 


Group III (308 

cities, 50,000 

to 99,999; 

population 

21,034,000) 


Group IV (647 

cities, 25,000 

to 49,999; 

population 

22,231.000) 


Group V (1.605 

cities. 10.000 

to 24,999; 

population 

25,106.000) 


Group VI 

(6.554 cities 

under 10.000; 

population 

23.494.000) 


TOTAL: 

9,295 cities; 

population 153.189,000: 
Average number of officers 
per 1,000 inhabitants 


2.1 


2.7 


1.8 


1.7 


1.7 


1.8 


2.3 


Northeastern States; 

2,285 cities; 
population 37.031,000; 
Average number of officers 


2.4 
2.0 
2,2 
1.7 


3,5 
3.3 
2.4 
2.0 


2.8 
1.7 
2,0 
1.4 


2.0 
1.6 

2.0 

1.3 


2.0 
1.5 
1.9 

1.5 


1.8 
1.6 
2.0 
16 


1.8 


Midwestern States: 

2,554 cities; 
population 38,793,000; 
Average number of officers 


2.0 


Southern Stales: 

3,210 cities; 
population 43,470.000; 
Average number of officers 


2.8 


Western Slates: 

1,246 cities; 
population 33,895,000; 
Average number of officers 


2.6 







Population figures were rounded to the nearest thousand. All rates were calculated before rounding. 



Civilian Employees 

Civilians made up 27 percent of the total United States 
law enforcement employee force in 1989. They represented 
22 percent of the police employees in cities, 33 percent of 
those in rural counties, and 34 percent of the suburban 
county law enforcement strength. 



Law Enforcement Officers Killed and Assaulted 

Sixty-seven law enforcement officers were feloniously 
slain in the line of duty during 1989. The 1989 total was 
the lowest in the decade with the exception of 1986 when 
66 officers were slain. Accidents occurring while perform- 
ing official duties claimed the lives of an additional 78 
officers in 1989. 

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. 



236 



Table 65. — Full-lime Ij« Enforcemenl Employees', Number and Rate per 1,000 
Oclobtr .31. 1989 

(1989 esiimaicd population) 


nhabitants. Geographic Division and Population Group 




Geographic division 


Total 

(9,295 cities; 

population 

153,189,000) 


Population group 


Group 1 
(59 cities. 

250,000 
and over; 
population 
43.419.000) 


Group II 
(122 cities. 
100,000 to 

249.999; 
population 
1 7.904,000) 


Group III 
(.108 cities, 

50,000 10 

99,999; 

population 

21.034,000) 


Group IV 
(647 cities. 

25.000 to 

49.999; 
population 
22,231.000) 


Group V 

(1.605 cities. 

10.000 to 

24.999; 

population 

25,106.000) 


Group VI 

(6.554 cities 

under 

10.000; 

population 

23.494.000) 


TOr.Al- 9,295 cities; population 15.3,189,000: 


414,038 

2.7 


152,533 
3.5 


42,929 
2.4 


46,272 
2.2 


48,291 

2.2 


54.951 

2.2 


69.062 


\>cra(ie number of employees per 1,000 inhabitants 

New England': 535 cilies; population 8,156,000: 


2.9 


19.777 
2.4 

89.341 
3.1 

73.184 
2.6 

23.601 

2.2 

63.076 
3.5 

20,653 

2.7 

43,224 

2.5 

22.211 

2.5 

58.971 
2.3 


(3) 


3,372 
3.3 

4.377 
3.2 

4.723 
2.1 

2.338 
2,0 

9.038 
2.9 

2,927 
2.5 

4,451 
2.1 

2,902 
2.3 

8,801 
1.9 


3,907 
2.4 

6,820 

2.3 

8.809 
2.1 

2.078 
1.6 

7.554 
3.2 

773 
2.5 

5.074 
2.2 

2.560 
1.7 

8,697 
1.9 


3.826 
2.2 

9.394 

2.4 

9,404 
1.9 

3.004 
1.7 

7.676 
2.8 

2.709 
2.4 

3.548 
2.0 

2.029 
2.1 

6,701 
2.0 


5,055 
2.2 

11,476 
2.1 

11,578 
2.0 

4.227 
2.0 

7.687 
3.0 

3.483 
2.4 

5.506 

2.1 

2.123 
2.3 

3.816 
2.1 


3.617 


A\cragc number of emplo>ces per l.tX)0 inhabitants 

Middle Atlantic: 1,750 cilies; population 28,875.000: 


2.4 


46.345 
4.6 

27.102 
4.1 

6.827 
3.2 

16.990 
4.1 

4.840 
2.8 

16.666 
2.6 

8,276 
2.8 

25.487 

2.7 


10.929 


.Average number of employees per 1.000 inhabitants 

Easi North Central: 1.784 cities; population 28,253,000: 


2.2 
11.568 


.Average number of employees per 1.000 inhabitants 

West North Central: 770 cities; population 10,540,000: 


2.6 
5.127 


A%erage number of employees per 1.000 inhabitants 

South Atlantic: 1,538 cities; population 18,280,000: 


2.4 
14.131 


.Average number of emplovecs per 1.000 inhabitants 

East South Central: 704 cilies; population 7,573,000: 


4.2 
5.921 


A\erage number of employees per 1.000 inhabitants 

West South Central: 968 cities; population 17,617,000: 

Number of emplovees 


3.2 
7,979 


.A\erage number of employees per l.(XX) inhabitants 

Mountain: 529 cities; population 8,798,000: 


3.3 

4.321 


A\erage number of employees per 1.000 inhabitants ..... 
Pacific: 717 cities: population 25,097,000: 


3.5 
5.469 


Average number of employees per 1.000 inhabitants 


4.0 



Suburban and County 



Suburban': 5,487 agencies; population 92,021,000: 

Number of employees 

\\erage number of employees per 1.000 inhabitants 




County: 2,923 agencies, population 76,489,000: 

Number of employees 

Average number of employees per I.OOO inhabitants 



262,609 

3.4 



'Includes civilians. 

n"he New England Division's law enforcement employee volumes are lower than those published in previous years, because limited 1989 data were available from Massachusetts agencies. 
*Only one city with a population of 250.000 and over is located in the New England geographic division. The 1989 data were not available for this agency. 

'Includes suburban city and county law enforcement agencies within metropolitan areas. Excludes central cilies. Suburban cities and counties are also included in other groups. Population 
figures were rounded to the nearest thousand. All rates were calculated before rounding. 



237 



Table 66, — Full-time Law Enforcement Officers, Number and Rate per 1,000 Inhabitants, Geographic Division and Population Group, 
October 31, 1989 



(1989 estimated population] 





Total 

(9,295 cities; 

population 

153,189,000) 


Population group 


Geographic division 


Group 1 
(59 cities, 

250,000 
and over; 
population 
43.419.000) 


Group II 
(122 cities, 
100,000 to 

249.999; 
population 
1 7.904.000) 


Group 111 
(308 cities. 

50,000 to 

99.999; 
population 
2 1 ,034.000) 


Group IV 
(647 cities, 

25.000 to 

49,999; 

population 

22,231,000) 


Group V 

(1,605 cities, 

10.000 to 

24,999; 

population 

25.106,000) 


Group VI 

(6,554 cities 

under 

10,000; 

population 

23,494,000) 


TOTAL: 9.295 cities; population 153,189,000: 


322,293 

2.1 


1 18,326 

2.7 


32,912 
1,8 


35,515 
1,7 


37,939 
1,7 


44,057 
1,8 


53,544 
23 








Nen England'; 535 cities; population 8,156,000; 


16,453 
2.0 

71,592 

2.5 

60,003 
2.1 

18,319 

1.7 

48,931 
2.7 

16.022 
2.1 

32,717 
1,9 

16.107 
1.8 

42.149 
1.7 


(2) 


2,854 
2.8 

3.741 

2.7 

3,849 
1.7 

1,739 
1.5 

6.859 

2.2 

2,171 
1.9 

3,540 

1.7 

2,086 

1.7 

6.073 
1.3 


3,337 
2.1 

5,632 
1.9 

7,003 
1.6 

1,703 
1.3 

5,619 

2.4 

599 
1.9 

3,788 
1.7 

1,884 
1.3 

5.950 
1,3 


3,221 
1,9 

7,839 
2.0 

7.436 
1,5 

2,333 
1.3 

5,948 
2.2 

2,168 
1,9 

2,741 
1,5 

1,481 
1,5 

4,772 
1,5 


4,216 
1.8 

9,821 
l.g 

9,256 
1.6 

3,331 
1.6 

6,024 
2.4 

2,774 
1.9 

4.320 
1.7 

1,541 
1.6 

2.774 
1,5 


2 825 


A\erage number of officers per 1 .000 inhabitants 

Middle Atlantic; 1,750 cities; population 28,875,000; 


1 9 


35,300 
3.5 

23,315 
3.6 

5,031 
2.4 

13,384 
3.2 

3,737 
2.2 

12,722 
2.0 

5,981 
2.0 

18,856 
2.0 


9,259 


Average number of officers per 1.000 inhabitants 

East North Central; 1,784 cities; population 28,253,000; 


1,8 
9,144 


.Average number of officers per 1,000 inhabitants 

V\esl North Central; 770 cities; population 10,540,000; 

Number of officers 


2,0 

4 182 


.Average number of officers per 1.000 inhabitants 

South Atlantic; 1,538 cities; population 18,280,000; 


2,0 
1 1,097 


Average number of officers per 1.000 inhabitants 

East South Central; 704 cities; population 7,573,000; 


3,3 

4,573 


Average number of officers per 1.000 inhabitants 

VNest South Central; 968 cities; population 17,617,000; 

Number of officers 


2.5 
5.606 


Average number of officers per 1,000 inhabitants 

Mountain; 529 cities; population 8,798,000; 

Number of officers 


2,3 
3 134 


Average number of officers per 1.000 inhabitants 

Pacific; 717 cities; population 25,097,000; 


2.5 
3,724 


Average number of officers per 1,000 inhabitants 


2,7 



I 



Suburban and County 



Suburban^ 5,487 agencies; population 92,021,000: 

Number of officers 

Average number of officers per 1. 000 inhabitants 




County: 2,923 agencies; population 76,489,000: 

Number of officers 

Average number of officers per 1,000 inhabitants 



174.060 
2.3 



'The New England Division's law enforcement officer volumes are lower than those published in previous years, because limited 1989 data were available from Massachusetts agencies. 
^Only one cily wiih a population of 250.000 and over is located in the New England geographic division. The 1989 data were not available for this agency, 
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. 



238 



Table 67. — Full-time Law Knforcement Employees, October 31, 1989 

(Rjnge m rate per 1.0(H) inhabitants] 



Rate range 




lolal' 

(8.S78 cities; 

population 

153.I8').000) 


Group 1 (59 

cities. 250.000 

and over. 

population 

43.419,000) 


Group II (122 

cities. 100.000 

to 249.999; 

population 

1 7.904.000) 


Group III (308 

cities. 50.000 

to 99,999; 

population 

21.034.0001 


Group IV (647 

cities, 25,000 

to 49,999; 

population 

22,231,000) 


Group V (1.605 

cities. 10.000 

to 24.999; 

population 

25.106.000) 


Group VI 

(6.137 cities 

under 10.000; 

population 

23,494.000) 


.1-.5 


Number 
Pei^ent 

Number 
Percent 


191 

2.2 

630 

7.1 






1 
.3 

6 
1.9 


1 
.2 

17 
2.6 


13 
.8 

68 
4.2 


176 








2 9 


.5-1.0 






539 








8.8 


1.1-1.5 


Number 
Percent 


1.184 
13.3 




5 

4.1 


39 

12.7 


87 

13.4 


195 

12.1 


858 






14.0 


1.6-2.0 


Number 
Pen:ent 


1.878 
21.2 


9 

15.3 


45 
.36.9 


103 
33.4 


223 
34.5 


437 
27.2 


1.061 
17.3 


2.1-2.5 


Number 
Percent 


1.792 
20.2 


14 
23.7 


36 
29.5 


85 
27.6 


170 
26.3 


453 
28.2 


1.034 
16.8 


2.6-3.0 


Number 
Percent 


1.188 
13.4 


13 
22.0 


14 
11.5 


39 

12.7 


93 

14.4 


253 

15.8 


776 
12.6 


3.1-3.5 


Number 
Percent 


699 
7.9 


9 

15.3 


14 
11.5 


20 
6.5 


29 
4.5 


110 
6.9 


517 
8.4 


3.6-4.0 


Number 
Percent 


442 
5.0 


5 
8.5 


4 
3.3 


7 
2.3 


16 
2.5 


46 
2.9 


364 
5.9 


4.1-4.5 


Number 
Percent 


231 

2.6 


5 

8.5 


1 
.8 


3 
I.O 


4 
.6 


16 
1.0 


202 
3.3 


4.6-5.0 


Number 
Percent 


162 
1.8 


1 

1.7 


2 
1.6 


5 
1.6 


3 
.5 


9 
.6 


142 
2.3 


5.1 and over 


Number 
Percent 


481 
5.4 

8.878 
100.0 


3 
5.1 

59 
100.0 


1 
.8 

122 

100.0 




4 
.6 

647 
100.0 


5 
.3 

1.605 
100.0 


468 






76 


Total 

Percent- 


308 

100.0 


6.137 
100.0 



'The number of agencies used to compile these figures difl'ers from the other Law Enforcement Employee tables because small agencies with no resident population are excluded from this 
e. 
^Because of roundmg, percentages may not add to totals. 



239 



Table 68.— Law Enforcement Officers, October 31, 1989 

[Range in rale per t.OOO inhabitants] 



Rate range 




Total' 

(8.878 cities; 

population 

153.189,000) 


Group I (59 

cities, 250,000 

and over; 

population 

43,419.000) 


1 

Group 11 (122 

cities. 100.000 

to 249.999; 

population 

1 7,904.000) 


Group 111 (308 

cities. 50.000 

to 99.999; 

population 

21.0.34.000) 


Group IV (647 

cities. 25.000 

to 49.999; 

population 

22.231.000) 


Group V (1.605 

cities, 10,000 

to 24,999; 

population 

25,106,000) 


Group VI 

(6.137 cities 

under 10,000; 

population 

23,494,000) 


.1-.5 


Number 
Percent 

Number 
Percent 

Number 
Percent 

Number 
Percent 

Number 
Percent 

Number 
Percent 

Number 
Percent 

Number 
Percent 

Number 
Percent 

Number 
Percent 

Number 
Percent 


216 

2.4 

866 
9.8 

2,224 
25.1 

2,350 
26.5 

1,435 
16.2 

742 
8.4 

389 
4.4 

196 

2.2 

118 
1,3 

72 
.8 

270 
3.0 

8,878 
100.0 






2 
.6 

22 
7.1 

124 
40.3 

95 
30.8 

40 
13.0 

17 
5.5 

7 
2.3 

1 
.3 


2 
.3 

54 
8.3 

241 
37.2 

203 
31.4 

101 
15.6 

28 
4.3 

12 
1.9 

3 
.5 

2 
.3 


20 
1.3 

118 

7.4 

504 
31.4 

520 
32.4 

278 
17.3 

124 

7.7 

27 
1.7 

9 
.6 

3 

.2 

1 


192 








3,1 


6-1 




1 
.8 

47 
38.5 

43 
35.2 

15 
12.3 

11 
9.0 

3 
2.5 

1 
.8 

1 
.8 


67U 






10.^ 


1.1-1.5 
1 .6-2.0 
2.1-2.5 
2.6-3.0 
3.1-3.5 
3.6-4.0 
4.1-4.5 


10 
16.9 

15 

25.4 

17 
28.8 

5 
8.5 

5 
8.5 

5 
8.5 


1.298 
21.2 

1.474 
24.0 

984 
16.0 

557 
9.1 

335 
5.5 

177 
2.9 

112 








1.8 


4.6-5.0 


1 
1.7 

1.7 

59 
100.0 




70 










1.1 


5 1 and over 






1 

■) 

647 
100.0 


1 


267 








4.4 


Total 
Percent^ 


122 
100.0 


308 
100.0 


1.605 
100.0 


6.137 
100.0 



'The number of agencies used to compile these figures differs from the other Law Enforcement Officer tables because small agencies with no resident population are excluded from this table. 
^Because of rounding, percentages may not add to totals. 



240 



Table 69.— Law Enforcement Employees, Percent Male and Female, October 31, 1989 

[198^ cslimalcd population] 



Populalion group 



TOTAL ^CKNCIKS: 12,218 agencits: 
population 224.678.000: 

TOTAL CIIIKS: ».295 cilies; 

population I5.M89.000: 



GROUP I 
it cities. 250,000 and over 

population 4.V'4W,000: 

7 cities, I.OtXl.OOO and over. 

population W.-IO-VOOO; 

17 cities. 500.000 to 999.999; 

population 11.68.1.000: 

35 cities. 250.000 to 499.999: 
population 12.432.000: 

GROUP II 

122 cities. 100.000 to 249.999: 
population 17,904.000: 

GROUP III 

308 cities. 50.tX)0 to 99.999; 
population 21.0.34.000: 

GROUP IV 
647 cities. 25.000 to 49.999; 
population 22.231.000: 

GROUP V 

1.605 cities. 10.000 to 24.999; 
population 25.106.000: 

GROUP VI 

6.554 cities under 10,000; 

population 23.494.000: 

SUBURB.AN COUNTIES 
667 agencies: population 45.397.000: . 
RURAL COUNTIES 

2.256 agencies, population 31.092.000: 



SUBURBAN AREA' 
5.487 agencies: population 92.021.000: 



Total police employees 



Total 



676.647 
414.0.38 



152.533 
80.141 
37.477 
34.915 

42.929 



48.291 

54.951 

69.062 
150.077 
112,532 



262.134 



Perccnl 
male 



76.8 
78.3 



75.4 
74.7 
76.4 
75.8 



78.6 



81.4 

81.3 
73.1 

764 



76.6 



Percent 
female 



23.2 

21.7 



24.6 
25.3 
23.6 

24.2 



19.8 

18.6 

18.7 
26.9 

23.6 



Police ofTiccrs (sworn) 



Total 



496,353 
322,293 



118.326 
62.543 
29.067 
26.716 

32.912 



23.4 



44.057 

53.544 
98.914 
75.146 



Perccnl 
male 



91.7 
92.1 



187,100 



88.2 
87.1 
89.3 
89.4 

92.2 

94.1 



95.4 

94.8 
88.7 
93.8 



Percent 
female 



8.3 
7.9 



11.8 
12.9 
10.7 
10.6 



91.7 



5.0 

4.6 

5.2 
11.3 

6.2 



Civilian employees 



Total 



180.294 
91,745 



34,207 
17,598 
8.410 
8.199 

10,017 

10.757 



10,894 

15,518 
51.163 
37.386 



75.034 



Perccnl 
male 



35.8 
29.5 



31.0 
30.4 
31.9 
31.5 



26.0 

25.0 

34.6 
42.9 

41,4 



Percent 
female 



64.2 
70.5 



38.8 



69.0 
69.6 
68.1 
68.5 

72.7 

72.8 



75.0 

65.4 

57.1 
58,6 



61.2 



'Includes suburban city and county law enforcement agencies within metropolitan areas. Excludes central cities. Suburban cities and counties are also included in other groups. 

Table 70.— Civilian Law Enforcement Employees, Percent of Total, Population Group, October 31, 1989 

[1989 estimated population] 



Population group 


Percent 

civilian 

employees 


Population group 


Percent 

civilian 

employees 


TOTAL AGENCIES: 12.218 agencies; 

nnniilatinn ■* ''Q 678 000* 


26.6 
22.2 


GROUP IV 

647 cities, 25.000 to 49,999; 

nnnulat ion 7 7 7 31 000' 




TOTAL CITIES: 9.295 cities; 

nnniilatinn 1^^189 000- 


21.4 


GROUP V 

1,605 cities, 10,000 to 24.999; 

noniilatinn 25 106 000" 








GROUP 1 
59 cities. 250.000 and over; 


22.4 
22.0 
22.4 
23.5 

23.3 
23.2 


19.8 


GROUP VI 

6.554 cities under 10,000; 

population 23,494,000: 




7 cities. 1.000.000 and over. 




17 cities. 500.000 to 999.999; 


22.5 


35 cities. 250.000 to 499,999; 


SUBURBAN COUNTIES 

667 agencies; 

nonulation 45 397 000' 




GROUP 11 


34.1 


122 cities. 100.000 to 249,999; 


RURAL COUNTIES 

2.256 agencies; 

population 3 1 ,092.000: 




GROUP III 


33.2 


308 cities. 50.000 to 99,999; 

DODulation 71034000* 


SUBURBAN AREA' 

5.487 agencies; 

population 92 02 1 ,000: 






28.6 









'Includes suburban city and county law enforcement agencies within metropolitan areas. Excludes central cities. Suburban cities and counties are also included in other groups. 



241 



Table 71.— Full-time State Law Enforcement Employees, October 31, 1989 



State 



Number of law enforcement employees 



Total 



Officers 



Male 



Female 



Civilians 



Male 



Female 



State 



Number of law enforcement employees 



Total 



Officers 



Male 



Female 



Civilians 



Male 



Female 



Total 



Alabama Department of 

Public Safety 

Alaska State Police 

Arizona Department of 

Public Safety 

Arkansas State Police 
California Highway 
Patrol 



Colorado Stale Patrol 
Connecticut State Police 
Delaware State Police . . 
Florida Highway Patrol 
Georgia Department of 
Public Safety 



Idaho State Police 

Illinois Slate Police ... 
Indiana State Police 
Iowa Department of 

Public Safety 

Kansas Highway Patrol 



Kentucky State Police 
Louisiana State Police 
Maine State Police . .. 
Maryland State Police 
Massachusetts State 
Police "I 



Michigan State Police ... 
Minnesota Highway 

Patrol 

Mississippi Highway 

Safety Patrol 

Missouri State Highway 

Patrol 

Montana Highway Patrol 



75,920 



1.215 
550 



1.662 
652 



8.635 



1.727 



3.262 

723 

875 

1.797 
253 



48.764 



2.198 



650 
315 



926 
463 



5.605 



733 


488 


1,465 


933 


682 


488 


2,031 


1.390 



756 



212 


172 


3.672 


2,134 


1.770 


1.041 


794 


536 


788 


524 


1.601 


904 


884 


590 


583 


347 


2.323 


1,567 



2.072 

505 

529 

807 
191 



II 
16 

40 
17 

459 

17 
53 
29 
118 



2 
142 
44 

25 
43 

13 

4 

13 

112 



169 

18 

8 

12 
10 



10.118 



1.014 

76 
224 

72 
170 

234 



5 
573 
304 

92 
100 

336 
100 

127 

1X1 



14.840 



205 


349 


81 


138 


346 


350 


61 


111 



1.557 

152 

255 

93 

353 

720 



33 
823 
381 

141 
121 

348 
190 
96 

362 



476 


545 


134 


66 


88 


250 


627 


351 


15 


37 



Nebraska Stale Patrol ... 
Nevada Highway Patrol 
New Hampshire Stale 

Police 

New Jersey State 

Police 

New Mexico State 

Police 

New York State Police .. 
North Carolina Highway 

Patrol 

North Dakota Highway 

Patrol 

Ohio State Highway 

Patrol 

Oklahoma Department of 

Public Safety 



Oregon State Police 

Pennsylvania State 

Police 

Rhode Island State 

Police 

South Carolina Highway 

Department 

South Dakota Highway 

Patrol 



Tennessee Department of 

Safety 

Texas Department of 

Public Safety 

Utah Highway Patrol 

Vermont State Police 
Virginia State Police — 



Washington State Patrol 
West Virginia State 

Police 

Wisconsin State Patrol .. 
Wyoming Highway 

Patrol 



599 
384 

354 

4,204 

495 
4.807 

1.562 

192 

2,133 

1.349 

1,037 

5.293 

203 

1,171 

176 

1,406 

5,097 
420 

542 
2,236 

1.715 

798 
646 

212 



416 

257 

238 

2.878 

348 
3,813 

1,223 
118 

1,149 
777 
841 

3,942 
162 
949 
155 

787 

2,646 
302 

282 
1,632 

863 

483 
417 

153 



13 

8 

17 
71 

6 

229 

7 

1 

37 

10 

26 

116 

4 

20 



29 



97 
19 

41 

523 

41 

273 

183 
43 

461 

266 
17 

602 
24 
55 



143 



693 
15 



110 

173 



389 



100 
93 



13 



73 
100 

58 

732 

100 
492 

149 

30 

486 

296 

153 

633 

13 

147 

17 

458 

1,700 
94 

140 
386 

434 

205 
79 

43 



'"1989 data was not available, 

NOTE; The responsibilities of the various slate police, highway patrol, and departments of public safety agencies range from full law enforcement duties to iralTic patrol only. .Any comparison 
of these data from state to stale must take these factors and those on page v into consideration. 



242 



Table 72.— Number of Full-time Lax Knforcement Employees, Cities, October 31, 1989 



CllN 



ALABAMA 



Total 

police 

cmploNces 



Tolal 
olTiccrs 



15 

.i: 

44 
9 
37 
113 
22 
12 
10 

9 

36 
21 
20 
73 
16 
16 
78 
893 

7 
28 
22 
II 
10 

3 

10 
12 

4 

5 
15 
12 
24 
10 

6 

2 

6 

9 

43 

9 

22 

24 

102 

26 

9 

109 

6 

7 

15 

50 

33 

11 

17 

32 

17 

4 

9 

3 

II 

8 

90 

25 

35 

16 

117 

23 

13 

7 

5 

9 

5 

4 

10 

29 

4 

29 



Tolal 
ci\ilians 



11 

18 

26 

34 

5 

32 

81 

17 

6 

5 

5 

30 

18 

16 

52 

16 

II 

67 

700 

4 

23 

18 

7 

6 

3 

5 

8 

4 

4 

II 

8 

18 

6 

5 



5 

29 

9 

14 

19 

89 

17 

5 

87 

4 

4 

11 

39 

27 

8 

13 

26 

12 

4 

9 

3 

7 

5 

71 

18 

27 

12 

102 

1 

9 
3 
4 
5 
4 
4 
7 

4 

23 



5 
II 
193 
3 
5 
4 
4 
4 



Cilv 



ALABAMA— Continued 



Gunlersville 

Gurlcy 

Halcyville 

Hamilton 

Hanceville 

Hartford 

Hanselle 

Headland 

Heflin 

Helena 

Hokcs Bluff 

Hollywood 

Homewood 

Hoover 

Hueytown 

Huntsville 

Hurtsboro 

Irondale 

Jackson 

Jacksonville 

Jasper 

Jemison 

Killen 

Lafayette 

Lanett 

Leeds 

Level Plains 

Lincoln 

Linden 

Lineville 

Lipscomb 

Littleville 

Livingston 

Luverne 

Madison 

Maplesville 

Marion 

MidHeld 

Midland City 

Millbrook 

Mobile 

Monroeville 

Montevallo 

Montgomery 

Moody 

Morris 

Moulton 

Moundville 

Mountain Brook 

Mount Vernon 

Muscle Shoals 

Napier Field 

New Brockton 

New Hope 

Newton 

Northport 

Notasulga 

Oneonta 

Opelika 

Opp 

Orange Beach 

Owens Cross Roads 

Oxford 

Ozark 

Parrish 

Pelham 

Pell City 

Phenix City 

Phil Campbell 

Piedmont 

Pleasant Grove — 

Prattville 

Priceville 

Prichard 

Rainbow City 



Total 

police 

employees 



Total 
officers 



27 
5 

12 

II 

10 

10 

23 

II 

12 

10 

5 

3 

71 

88 

21 

428 

4 

26 

18 

24 

53 

2 

5 

14 

28 

23 

3 

11 

6 

8 

6 

9 

11 

14 

33 

6 

13 

17 

7 

15 

490 

24 

12 

522 

14 

2 

11 

6 

56 

4 

22 

1 

4 

5 

5 

40 

6 

14 

93 

21 

15 

2 

37 

39 

2 

38 
19 
69 

4 
16 
13 
48 

4 
53 
19 



Total 
civilians 



25 

4 

9 

II 

6 

7 

19 

7 

8 

6 

5 

2 

56 

70 

17 

303 

3 

21 

14 

18 

36 

2 

4 

10 

21 

19 

3 

6 

6 

5 

3 

6 

7 

10 

25 

2 

7 

13 

3 

II 

359 

19 

8 

420 

10 

1 

10 

4 

46 



1 

4 

5 

2 

34 

3 

10 

69 

16 

9 

2 

31 
30 

2 

31 

15 

56 

4 

1 1 
9 

38 
4 

40 

15 



7 
4 
13 



5 
4 
10 



13 
4 



243 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1989 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



Citv 



Total 

police 

employees 



Total 
officers 



ALABAMA — Continued 

Rainsville 

Reform 

Roanoke 

Robertsdale 

Russellville 

Samson 

Saraland 

Satsuma 

Scoltsboro 

Selma 

Sheffield 

Slocomb 

Southside 

Springville 

Stevenson 

SuiligenI 

Sumiton 

Sylacauga 

Talladega 

Tallassee 

Tarrant City 

Thomasville 

Thorsby 

Town Creek 

Trinity 

Troy 

Trussviile 

Tuscaloosa 

Tuscumbia 

Tuskegee 

Union Springs 

Uniontown 

Valley 

Vestavia Hills 

Warrior 

Weaver 

Wetumpka 

Winfield 

York 

ALASKA 

Anchorage 

Bethel 

Bristol Bay Borough 

Cordova 

Craig 

Fairbanks 

Haines 

Homer 

Juneau 

Kenai 

Kodiak 

Kotzebue 

Nome 

North Pole 

North Slope Borough 

Palmer 

Petersburg 

St. Paul Island 

Seldovia 

Seward 

Skagway 

Soldotna 

W rangell 

ARIZONA 

Apache Junction 

Avondale 

Benson 

Bisbee 

Buckeye 

Bullhead City 

Camp Verde 



II 

4 

19 

10 

20 

9 

26 

12 

42 

81 

29 

4 

8 

6 

9 

3 

8 

33 

52 

20 

21 

13 

2 

5 

3 

52 

16 

223 

20 

44 

14 

10 

25 

32 

10 

7 

16 
6 
9 



341 
20 

8 
13 

6 
51 

9 
20 
53 
23 
33 
19 
14 
10 
65 
19 
10 

4 

2 
14 

4 
13 
13 



239 
9 
5 
7 
2 
35 
5 

13 

34 

16 

18 

9 

8 

6 

38 

8 

6 

3 

2 

9 

4 

10 

7 



102 

II 

3 

6 

4 

16 

4 

7 

19 

7 

15 
10 
6 
4 
27 
11 
4 
1 



ARIZONA— Continued 

Casa Grande 

Chandler 

Chino Valley 

Clarkdale 

Coolidge 

Cottonwood 

Douglas 

Eagar 

El Mirage 

Eloy 

Flagstaff 

Florence 

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 

St. Johns 

San Luis 

Scottsdale 

Sedona 

Show Low 

Sierra Vista 

Snowflake-Taylor 

Somerton 

South Tucson 

Springcrville 

Superior 

Surprise 

Tempe 

Thatcher 

Tolleson 

Tombstone 

Wickenburg 

Willcox 

Wmslow 

Youngtown 

Yuma 

ARKANSAS 

Alma 

Arkadclphia 

Ashdown 

Bald Knob 

Barling 

Beebc 

Benton 

Bentonville 

Berry villc 

Blvtheville 



58 

156 

13 

7 
26 
27 
48 
10 
16 
30 
103 
18 
47 
250 
22 
18 
10 

6 
20 

9 

3 
11 
47 
57 

5 

12 
564 
II 
45 
34 
21 
39 
15 
25 
89 
2.614 

2 
22 
81 
22 
15 

6 
15 
270 
24 
21 
44 
10 
16 
33 

8 

14 

17 

324 

6 
22 

5 

13 
20 
29 
16 
117 



40 
113 

9 

7 
20 
16 
35 

7 
11 
19 
74 
12 
33 
178 
17 
13 

9 

5 
15 

4 

3 

7 
31 
44 

4 
10 
371 
10 
33 
26 
13 
29 

9 

17 

59 

1,917 

2 
13 
52 
13 
13 

5 

9 

167 

16 

14 

29 

9 
11 
24 

6 

9 

16 

233 

6 
16 

4 
10 

9 
17 

8 
86 



5 
16 
8 
4 

7 

4 

24 

20 

6 

41 



244 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1989 — Continued 



Cilv 



Total 

police 

employees 



Total 
otTicers 



Total 

civilians 



Cilv 



Total 

police 

employees 



Total 
officers 



ARKANSAS— Continued 

Booncvillc 

Bradford 

Brmkley 

Bryant 

Bull Shoals 

Cabot 

Camden 

Carlisle 

Clarksville 

Conway 

Coming 

Crossett 

Danville 

Dardanelle 

De Queen 

DermotI 

Des Arc 

De Vails Bluff 

De Wilt 

Dumas 

Earle 

El Dorado 

England 

Eureka Springs 

Fayetlcville 

Fordyce 

Forrest City 

Fort Smith 

Gravette 

Greenbrier 

Green Forest 

Greenwood 

Gurdon 

Hamburg 

Harrison 

Hazen 

Heber Springs 

Helena 

Hope 

Horseshoe Bend 

Hot Springs 

Hoxie 

Jacksonville 

Johnson 

Jonesboro 

Judsonia 

Kensett 

Lake Village 

Lincoln 

Little Rock 

Lonoke 

Lowell 

Magnolia 

Malvern 

Marianna 

Marion 

Marked Tree 

Maumelle 

McCrory 

McGehee 

Mena 

Monticello 

Morrilton 

Mountain Home 

Nashville 

Newport 

North Little Rock 

Osceola 

Ozark 

Paragould 

Paris 

PiggotI 

Pine BlufT 

Pocahontas 

Prairie Grove 



ARKANSAS— Continued 



9 

12 

3 

2 

14 

14 

5 

57 

9 

12 

66 

1 1 

31 

139 

3 

2 

6 

7 

5 

6 

25 

7 

17 

21 

23 

7 

78 

8 

60 

2 

54 

3 

3 

7 

4 

394 

II 

4 

21 

22 

14 

6 

10 

20 

3 

12 

8 

18 

18 

20 

9 

22 

159 

26 

9 

30 

II 

9 

147 

17 

5 



6 

3 
7 
5 
2 
9 

27 
5 
9 

39 
8 

10 
t 

5 
8 
7 
3 
1 

10 
8 
4 

47 
5 
8 

56 
7 

23 
106 
3 
2 
5 
6 
3 
5 

19 
3 

II 

15 

18 
6 

65 
4 

44 
2 

43 



7 

4 

328 

6 

4 

17 

14 

11 

6 

6 

15 

3 



14 
12 
14 
8 

16 

129 

23 

6 

26 

6 

6 

117 

9 

4 



I'rescott 

Rogers 

Russellville ... 

Searcy 

Sheridan 

Sherwood 

Siloam Springs 
Smackover — 

Springdale 

Star City 

Stuttgart 

Texarkana 

Trumann 

Van Buren 

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 

Alascadero 

Alherton 

Atwater 

Auburn 

Azusa 

Bakersfield 

Baldwin Park 

Banning 

Barstow 

Bear Valley ... 

Beaumont 

Bell 

Bell Gardens 

Belmont 

Belvedere 

Benicia 

Berkeley 

Beverly Hills . 

Bishop 

Blythe 

Brawley 

Brea 

Brentwood 

Briggs 

Brisbane 

Broadmoor 
Buena Park ... 

Burbank 

Burlingame 

Calexico 

California City 

Calipatria 

Calistoga 

Campbell 

Capitola 

Carlsbad 

Carmel 



19 


12 


133 


98 


34 


29 


152 


95 


8 


7 


462 


321 


24 


15 


9 


8 


96 


79 


93 


76 


28 


20 


26 


18 


17 


11 


36 


28 


24 


20 


28 


20 


27 


19 


69 


52 


330 


240 


73 


53 


37 


22 


45 


31 


14 


6 


25 


17 


65 


47 


67 


47 


39 


32 


7 


7 


43 


31 


246 


170 


191 


128 


21 


13 


26 


18 


37 


27 


113 


92 


17 


14 


3 


3 


18 


13 


9 


8 


131 


90 


226 


145 


70 


45 


42 


29 


16 


11 


3 


3 


13 


9 


55 


40 


33 


23 


100 


71 


30 


18 



245 



Table 72.— Number of Full-time Law Enforcement Employees, Cities, October 31, 1989 — Continued 



City 



Total 

police 

etnployees 



Total 
officers 



Total 

civilians 



City 



Total 

police 

employees 



Total 
officers 



CALIFORNIA— Continued 



CALIFORNIA— Continued 



Carpmteria 

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 Hot Springs 

Dinuba 

Dixon 

Dorris 

Dos Palos 

Downey 

Dunsmuir 

East Palo Alto ... 

El Cajon 

El Centro 

El Cerrito 

El Monte 

El Segundo 

Emeryville 

Escalon 

Escondido 

Etna 

Eureka 

Exeter 

Fairfax 

Fairfield 

Farmersville 

Ferndale 

Firebaugh 

Folsom 

Fontana 

Fort Bragg 

Fortuna 

Foster City 

Fountain Valley .. 

Fowler 

Fremont 

Fresno 

Fullenon 

Gait 

Gardena 

Garden Grove 

Giiroy 

Glendale 

Glendora 



26 
58 
49 
89 
49 

105 
18 

227 
62 
12 
26 
15 
90 
29 
17 
6 
16 
87 
10 

220 

192 
22 
14 

168 
59 

183 
19 
80 
13 

151 
83 

127 

64 

46 

6 

26 

23 

22 

6 

7 

148 

6 

33 

202 
67 
40 

133 
78 
43 
13 

167 

1 

52 

13 

17 

138 

11 

3 

12 
35 

166 
32 
18 
56 
82 
6 

278 

641 

222 
24 

109 

221 
63 

267 
73 



19 
40 
35 
55 
40 
77 
12 

152 
42 
10 
19 
11 
62 
21 
11 
5 
13 
63 
9 

141 

137 
16 
12 
96 
41 

140 
12 
50 
12 

103 

53 

99 

49 

30 

6 

17 

17 

15 

2 

7 

113 

5 

30 

124 
44 
34 

104 

58 

26 

8 

115 

1 

42 

12 

12 

84 

10 

3 

8 

27 

100 
18 
13 
42 
59 
6 

191 

407 

145 
16 
85 

163 
40 

186 
S2 



87 
234 
77 
8 
24 
58 
23 
81 
21 



Gonzales 

Grass Valley 

Greenfield 

Gridley 

drover City 

Ciuadalupe 

Gustine 

Half Moon Bay 

Hanford 

Hawthorne 

Hayward 

Healdsburg 

Hemet 

Hercules 

Hermosa Beach 

Hillsborough 

HoUister 

Hollville 

Hughson 

Huntington Beach 
Huntington Park 

Huron 

Imperial 

Indio 

Inglewood 

lone 

Irvine 

Irwindale 

Isleton 

.lackson 

Kensington 

Kerman 

King City 

Kingsburg 

Laguna Beach ... 

La Habra 

Lakeporl 

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 

l.os Gatos 

Madera 

Mammoth Lakes 
Manhattan Beach 

Mantcca 

Maricopa 

Marina 

Martinez 

Marysville 

Maywood 

McFarland 

Mcndota 

Menio Park 

Merced 

Millbrae 

Mill Valley 

Milpitas 

Modesto 

Monrovia 

Montclair 

Montebello 

Monterev 



lO.': 



25 


18 


11 


10 


16 


10 


23 


16 


13 


8 


7 


6 


15 


13 


47 


36 


139 


90 


221 


153 


25 


17 


58 


42 


22 


17 


57 


39 


29 


22 


27 


22 


14 


9 


8 


7 


361 


214 


82 


59 


9 


5 


10 


9 


75 


47 


267 


194 


6 


5 


171 


122 


25 


20 


5 


5 


11 


9 


11 


11 


10 


7 


17 


13 


16 


12 


79 


46 


86 


59 


12 


10 


3 


3 


73 


53 


29 


23 


53 


39 


24 


20 


14 


9 


18 


14 


102 


61 


17 


10 


98 


64 


54 


36 


021 


654 


31 


26 


42 


28 


478 


7,893 


35 


22 


69 


43 


49 


37 


18 


15 


77 


60 


60 


41 


2 


2 


32 


27 


51 


39 


34 


21 


32 


23 


11 


6 


17 


11 


54 


38 


101 


70 


38 


27 


30 


22 


93 


70 


263 


187 


75 


56 


72 


48 


109 


76 


67 


52 



246 



Table 72.— Number of Kull-limc Law Enforcement Employees. Cities, October 31, 1989— Continued 



Cuy 



CALIFORNIA— Continued 



Monierey Park 

Moraga 

Morgan Hill 

Morro Bay 

Mouniain 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 Sprmgs 

Palo Alto 

Palos Verdes Estates 

Paradise 

Pasadena 

Paso Robles 

Patterson 

Perris 

Petaluma 

Piedmont 

Pinole 

Pismo Beach 

Pittsburg 

Placentia 

Placerville 

Pleasant Hill 

Pleasanton 

Pomona 

Porterville 

Port Hucneme 

Red BlufT 

Redding 

Redlands 

Redondo Beach ... 

Redwood City 

Reedley 

Riallo 

Richmond 

Ridgecrest 

Rio Dell 

Rio Vista 

Ripon 

Riverbank 

Riverside 

Rocklin 

Rohnen Park 

Roseville 

Ross 

Sacramento 

St. Helena 

Salinas 

San Anselmo 

San Bernardino — 

San Bruno 

San Carlos 

San Clemente 

Sand City 

San Diego 

San Fernando 

San Francisco 

San Gabriel 



Total 

police 
rmployccs 



Total 
olTicers 



no 
i: 

■15 

23 

110 

15 

101 

98 

19 

10 

81 

8 

213 

71 

28 

986 

282 

241 

213 

9 

33 

226 

59 

40 

127 

160 

34 

46 

350 

32 

16 

49 

79 

27 

32 

25 

80 

69 

25 

60 

94 

230 

58 



127 
92 

157 

113 
30 

123 

256 

47 

6 

7 

16 
17 

422 

33 

70 

78 

8 

873 
16 

180 
22 

354 

56 

50 

65 

2 

2,554 
48 

2.482 
61 



Total 
civilians 



155 
53 
19 
610 
184 
164 
151 
8 
23 
149 
46 
29 
82 
95 
23 
26 
222 
26 
13 
31 
54 
20 
22 
16 
65 
53 
19 
41 
65 
150 
36 
22 
20 
82 
67 
104 
79 
22 
84 
175 
30 
5 
6 
12 
13 
295 
22 
44 
45 
8 
592 
12 
132 
16 
230 
46 
36 
46 
2 
1.857 
34 
1.769 
S2 



City 



CALIFORNIA— Continued 



40 

1 
14 

6 
28 

6 
34 
23 

9 

2 

23 

1 
58 
18 

9 

376 

98 

77 

62 

1 
10 
77 
13 
1 1 
45 
65 
11 
20 
128 

6 

3 

18 
25 

7 
10 

9 
15 
16 

6 
19 
29 
80 



45 

25 

53 

34 

8 

39 

81 

17 

I 

I 

4 

4 

127 

II 

26 

33 



281 

4 

48 

6 

124 

10 

14 

19 



Sanger 

San Jacinto 

San Jose 

San Juan Bautista ... 

Siin Lcandro 

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 

Scolts Valley 

Seal Beach 

Seaside 

Scbastopol 

Selma 

Shafter 

Sierra Madre 

Signal Hill 

Simi Valley 

Soledad 

Sonoma 

Sonora 

South Gate 

South Lake Tahoe 

South Pasadena 

South San Francisco 
Stallion Springs — 

Stockton 

Suisun City 

Sunnyvale 

Susanville 

Sutter Creek 

Taft 

Tiburon 

Torrance 

Tracy 

Tulare 

Turlock 

Tustin 

Twin Cities 

Ukiah 

Union City 

Upland 



697 

14 

713 

9 



Vacaville 

Vallejo 

Ventura 

Vernon 

Visalia 

Walnut Creek .. 

Waterford 

Watsonville 

Weed 

West Covina 
Westminster — 
Westmorland 
West Sacramento 

Wheatland 

Whittier 

Williams 

Willits 

Willows 

Winters 

Woodlake 

Woodland 

Yreka 

Yuba City 



Total 

police 

[employees 



Total 
officers 



34 
44 
.284 
3 
132 
82 
31 
149 
43 
93 
552 
224 
180 
98 
93 
299 
38 
187 
38 
24 
57 
48 
18 
27 
16 
20 
40 
144 
13 
18 
14 
129 
75 
47 
114 
3 
378 
31 
166 
14 
6 
18 
19 
315 
56 
52 
74 
105 
41 
31 
88 
101 
104 
187 
183 
59 
112 
101 
8 
65 
16 
158 
128 

71 

6 

118 

6 

18 

9 

9 

9 

71 

21 

54 



Total 
civilians 



26 

29 

1.061 

3 

87 

52 

25 

107 

32 

72 

365 

137 

145 

73 

70 

155 

30 

128 

25 

17 

39 

39 

14 

20 

10 

15 

29 

100 

9 

13 

II 

91 

54 

29 

75 

3 

243 

21 

115 

13 

5 

13 

15 

238 

40 

37 

48 

72 

32 

23 

59 

73 

69 

132 

120 

41 

73 

73 

7 

48 

8 

III 

92 

5 

53 

5 

80 

6 

13 

8 

8 

8 

53 

14 

38 



15 
223 



45 

30 

6 

42 

11 

21 

187 

87 

35 

25 

23 

144 

8 

59 

13 

7 

18 

9 

4 

7 

6 

5 

11 

44 

4 

5 

3 

38 

21 

18 

39 



135 

10 

51 

I 

I 

5 

4 

77 

16 

15 

26 

33 

9 

8 

29 

28 

35 

55 

63 

18 

39 

28 

1 

17 

8 

47 

36 



18 

I 

38 



5 

I 
I 
1 

18 
7 

16 



247 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1989 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



COLORADO 

Alamosa 

Antonito 

Arvada 

Aspen 

Ault 

Aurora 

Avon 

Basalt 

Bayfield 

Berthoud 

Boulder 

Bow Mar 

Breckenridge 

Brighton 

Broomfield 

Brush 

Buena Vista 

Burlmgton 

Calhan 

Canon City 

Carbondale 

Castle Rock 

Cedaredge 

Center 

Central City 

Cherry Hills Village 

Colorado Springs 

Columbine Valley 

Commerce City 

Cortez 

Craig 

Crested Butte 

Cripple Creek 

Dacono 

De Beque 

Del Norte 

Delta 

Denver 

Dillon 

Dolores 

Durango 

Eads 

Eagle 

Eaton 

Edgewater 

Elizabeth 

Empire 

Englewood 

Erie 

Estes Park 

Evans 

Fairplay 

Federal Heights 

Firestone 

Flagler 

Florence 

Fort Collins 

Fort Lupton 

Fort Morgan 

Fountain 

Fowler 

Frederick 

Frisco 

Fruila 

Georgetown 

Glendale 

Glenwood Springs 

Golden 

Granada 

Grand Junction 

Greeley 

Green Mountain Falls 

Greenwood Village 

Gunnison 

Haxtun 



COLORADO— Continued 



22 

4 

163 

35 

4 

536 

9 

4 

3 

5 

172 

2 

21 

36 

50 

II 

6 

8 

1 

31 

9 

19 

3 

6 

3 

23 

588 

2 

50 

30 

22 

4 

3 

5 

I 

5 

14 
1,567 
5 
2 
45 
3 
4 
5 

15 
2 

2 

92 

3 

23 

14 

I 

26 

2 

I 

II 

142 

18 

25 

20 

2 

4 

9 

8 

3 

35 

21 

30 

I 

92 

125 

1 

56 

20 

2 



19 
4 

116 

22 

4 

384 
8 
3 
3 
4 

120 
2 

14 

26 

36 

9 

5 

7 

I 

22 

8 

14 
3 
6 
2 

21 

404 

2 

38 
21 
15 
4 
3 
4 
1 

4 
11 
1,334 
4 
2 
27 
2 
4 
4 
12 



152 
1 
1 



184 



1 

3 

233 

I 



13 



Hayden 

Holly 

Holyoke 

Idaho Springs 

Ignacio 

Johnstown 

Julesburg 

Kersey 

Kremmling 

Lafayette 

La Jara 

La Junta 

Lakeside 

Lakewood 

Lamar 

La Salle 

Las Animas 

Leadville 

Limon 

Littleton 

Lochbuie 

Log Lane Village 

Longmont 

Louisville 

Loveland 

Manassa 

Mancos 

Manitou Springs 

Manzanola 

Meeker 

Milliken 

Minturn 

Monte Vista 

Montrose 

Morrison 

Mountain View 

Mount Crested Butte 

Nederland 

New Castle 

Northglenn 

Oak Creek 

Olathe 

Palisade 

Palmer Lake 

Parachute 

Parker 

Platteville 

Pueblo 

Rangely 

Ridgeway 

Rille 

Rocky Ford 

Salida 

Sheridan 

Silt 

Silverthome 

Snowmass Village ... 

Springfield 

Steamboat Springs 

Sterling 

Stratton 

Thornton 

Trmidad 

Vail 

Victor 

Walsenburg 

Westminster 

Wheal Ridge 

Wiggins 

Windsor 

Woodland Park 

Wray 

Yuma 



2 
2 
3 
8 
3 
3 
2 
2 
3 

25 
3 

17 

8 

292 

25 
5 
7 
7 
4 

67 
2 

1 

no 

21 

74 

2 

2 



5 
3 
7 

19 

23 

I 

2 
5 
3 
2 

61 

2 

3 

3 

3 

6 

16 

4 

226 

11 

3 

14 

7 

11 

27 

3 

10 

8 

4 

27 

33 

1 

108 

21 

44 

2 

14 

152 

80 

I 

9 
16 
II 
10 



3 
7 
3 
3 
2 
2 

3 

19 
3 

14 

5 

196 

19 
5 
7 
6 
4 

53 
2 

1 

76 

18 

46 

2 

2 

12 

2 

4 

3 

5 

14 

20 

1 

2 
5 
3 
2 
47 
2 

3 
3 
3 

II 

4 

171 

7 

1 

9 

6 

10 

18 

3 

8 

7 

4 

17 

23 

1 

75 

15 

27 

2 

9 
103 

57 
I 
8 

11 
6 
6 



248 



Table 72.— Number of Full-time Law Enforcement Employees, Cities, October 31, 1989— Continued 



Citv 



CONNECTICUT 



Ansonia 

Avon 

Berlin 

Belhcl 

Bloomrield 

Branlord 

Bridgeport 

Bristol 

Brookfield 

Canton 

Cheshire 

Clinton 

Co\enlr\' 

Cromwell 

Danbur> 

Darien 

Derby 

East Hampton 

East Hartford 

East Haven 

Easton 

East Windsor 

Enfield 

Fairfield 

Farmington 

Glastonbury 

Granby 

Greenwich 

Groton 

Groton Long Point 

Groton Town 

Guilford 

Hamden 

Hartford 

Jewett City 

Madison 

Manchester 

Meriden 

Middlebury 

Middletown 

Milford 

Monroe 

Naugatuck 

New Britain 

New Canaan 

New' Haven 

Newington 

New London 

New Milford 

Newtown 

North Branford 

North Haven 

Norwalk 

Norwich 

Old Saybrook 

Orange 

Plainfieid 

Plainviile 

Plymouth 

Putnam 

Ridgcfield 

Rocky Hill 

Seymour 

Shelton 

Simsbury 

Southington 

South Windsor 

Stamford 

Stonington 

Stratford 

Suffield 

Thomaston 

Torrington 

Trumbull 

Vernon 



Total 

police 

employees 



Total 
officers 



Total 

civilians 



.19 


35 


37 


30 


43 


34 


35 


29 


61 


48 


43 


41 


431 


379 


102 


94 


33 


27 


19 


14 


54 


45 


26 


23 


13 


9 


25 


19 


139 


131 


55 


48 


26 


25 


16 


14 


148 


121 


55 


50 


16 


14 


19 


14 


95 


78 


99 


91 


53 


40 


72 


53 


15 


10 


179 


158 


36 


31 


6 


6 


71 


60 


42 


34 


123 


102 


603 


467 


11 


6 


37 


31 


123 


94 


128 


120 


11 


9 


115 


94 


118 


105 


42 


33 


45 


41 


166 


147 


48 


44 


467 


411 


55 


43 


92 


77 


54 


40 


40 


30 


20 


19 


57 


47 


201 


166 


73 


61 


30 


23 


39 


33 


17 


16 


39 


32 


21 


17 


19 


15 


40 


36 


35 


28 


29 


28 


60 


50 


41 


33 


58 


53 


40 


32 


318 


278 


35 


31 


112 


98 


19 


14 


14 


11 


80 


74 


78 


67 


60 


47 



4 

7 
9 
6 
13 

2 

52 
8 
6 
5 
9 
3 
4 
6 
8 
7 
1 

T 

27 
5 

5 
17 

8 

13 
19 

5 
21 

5 



City 



CONNECriCUT— Continued 



Wallingford ... 
Watcrbury — 

Walerford 

Watcrtown — 
West Hartford 
West Haven .. 

Weston 

Westport 

Wethersfield . . 
Willimantic ... 

Wilton 

Windsor 

Windsor Locks 

Winsted 

Wolcotl 

Woodbridge 



DELAWARE 



21 

136 

5 

6 

29 

8 

2 

21 

13 

9 

4 

19 

4 

56 

12 

15 

14 

10 

1 

10 

35 

12 

7 

6 

I 

7 

4 

4 

4 

7 

I 

10 

8 

5 

8 

40 

4 

14 

5 

3 

6 

II 

13 



Bethany Beach 

Blades 

Bridgeville 

Camden-Wyoming 

Clayton 

Dagsboro 

Delmar 

Dewey Beach — 

Dover 

Elsmere 

Felton 

Fenwick Island 

Frankford 

Georgetown 

Greenwood 

Harrington 

Laurel 

Lewes 

Middletown 

Milford 

Millsboro 

Milton 

Newark 

New Castle 

Newport 

Ocean View 

Rchoboth Beach . 

Seaford 

Selbyville 

Smyrna 

South Bethany ... 
Wilmington 



DISTRICT OF COLUMBIA 



Washington 



FLORIDA 



Alachua 

Altamonte Springs 

Altha 

Apalachicola 

Apopka 

Arcadia 

Atlantic Beach 

Atlantis 

Aubumdale 

Avon Park 

Bal Harbour 

Bartow 

Bay Harbor Islands 

Belleair 

Belleair Beach 

Belleair Bluffs 

Belle Glade 



Total 

police 

;mployees 



355 



Total 
officers 



9 
1 

4 
6 
1 
2 
7 
8 
85 
12 
4 
2 

1 
5 
1 

7 

10 

7 

15 

30 

6 

3 

61 

10 

6 

I 

21 

27 

3 

20 

5 

317 



4,716 



20 

103 

I 

5 
46 
23 
27 
24 
28 
26 
29 
54 
27 
15 
5 
8 
62 



Total 
civilians 



71 
315 
43 
32 
131 
108 
13 
67 
40 
32 
40 
41 
18 
25 
23 
21 



19 

40 

8 

10 

22 

16 

1 

8 

11 

12 

4 

12 

6 

5 

6 

6 



I 
I 

2 

16 

1 



5 
1 




5 


2 


8 


2 


7 




15 




23 


7 


6 




3 




46 


15 


9 


1 


6 




1 




15 


6 


20 


7 


3 




13 


7 


5 




250 


67 


3,974 


742 


15 


5 


75 
1 


28 


5 




35 


11 


16 


7 


19 


8 


15 


9 


21 


7 



7 

14 
5 
5 
1 
1 
14 



249 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1989 — Continued 



Cily 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
otTicers 



FLORIDA— Continued 



FLORIDA— Continued 



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 

Cross City 

Crystal River 

Dade City 

Davenport 

Davie 

Daytona Beach 

Daytona Beach Shores 

Deerfield Beach 

De Funiak Springs ... 

De Land 

Delray Beach 

Dundee 

Dunedin 



Dunnellon 

Eagle Lake 

Eatonville 

Edgewater 

Edgewood 

El Portal 

Euslis 

Fellesmere 

Fernandina Beach 

Flagler Beach 

Florida City 

Fort Lauderdale 

Fort Meade 

Fort Myers 

Fort Pierce 

Fort Walton Beach . 

Frostproof 

Fruitland Park 

Gamesville 

Golden Beach 

Graceville 

Greenacres Cily 

Green Cove Springs 

Greenville 

Groveland 

Gulf Breeze 

Gulfport 

Gulf Stream 

Haines City 



II 

7 

11 

184 

10 

6 

147 

91 

9 

28 

7 

6 

20 

133 

60 

6 

2 

6 

II 

8 

6 

359 

22 

19 

55 

56 

65 

2 

45 

192 

207 

10 

26 

4 

25 

29 

8 

124 

274 

27 

115 

13 

69 

180 

12 

68 

9 

6 

12 

37 

8 

6 

40 

6 

31 

13 

26 

765 

16 

175 

117 

59 

13 

7 

311 

12 

10 

76 

18 

2 

12 

20 

29 

10 

44 



9 

7 

6 

118 

5 

6 

123 

71 

8 

19 

6 

5 

16 

88 

39 

5 

2 

6 

10 

7 

6 

230 

16 

11 

41 

44 

49 

2 

35 

1.36 

140 

6 

19 

4 

16 

18 

4 

93 

207 

18 

92 

11 

50 

121 

8 

54 

7 

5 

9 

28 

7 

6 

29 

6 

24 

9 

17 

488 

II 

127 

97 

46 

8 

6 

206 

12 

6 

45 

13 

2 

7 

18 

23 

10 

31 



129 
6 



7 

4 

9 

277 

5 

48 

20 

13 

5 

1 

105 



Hallandale 

Havana 

Hialeah 

Hialeah Gardens 

Highland Beach 

High Springs 

Hillsboro Beach 

Holly Hill 

Hollywood 

Holmes Beach 

Homestead 

Howey-in-the-Hills 

Indialantic 

Indian Harbour Beach 
Indian River Shores 
Indian Rocks Beach 

Indian Shores 

Inverness 

Jacksonville 

Jacksonville Beach 

Jasper 

Juno Beach 

Jupiter 

Jupiter Inlet Colony 

Jupiter Island 

Kenneth City 

Key West 

Kissimmee 

Lady Lake 

Lake Alfred 

Lake City 

Lake Clarke Shores .. 

Lake Hamilton 

Lake Helen 

Lakeland 

Lake Mary 

Lake Park 

Lake Wales 

Lake Worth 

Lantana 

Largo 

Lauderdale-by-the-Sea 

Leesburg 

Lighthouse Point 

Live Oak 

Longboat Key 

Longwood 

Lynn Haven 

Madeira Beach 

Madison 

Maitland 

Manalapan 

Mangonia Park 

Margate 

Marianna 

Mascotte 

Medley 

Melbourne 

Melbourne Beach — 

Mexico Beach 

Miami 

Miami Beach 

Miami Shores 

Miami Springs 

Miccosukee 

Milton 

M inneola 

Miramar 

Monticello 

Mount Dora 

Mulberry 

Naples 

Neptune Beach 

New Port Richey 

New Smyrna Beach . . 



125 


97 


12 


9 


434 


317 


29 


23 


10 


10 


10 


7 


15 


12 


31 


23 


464 


298 


15 


8 


95 


73 


4 


4 


15 


10 


21 


14 


19 


19 


11 


10 


10 


9 


12 


II 


2,023 


1,174 


54 


38 


6 


6 


15 


13 


90 


65 


3 


3 


16 


13 


12 


11 


82 


60 


110 


70 


19 


14 


12 


8 


30 


23 


9 


9 


8 


5 


5 


5 


247 


181 


25 


19 


35 


27 


45 


34 


133 


93 


31 


23 


150 


102 


17 


15 


62 


45 


37 


27 


16 


14 


25 


19 


35 


30 


19 


13 


17 


16 


11 


10 


42 


32 


12 


8 


18 


17 


116 


82 


21 


16 


5 


5 


35 


28 


174 


132 


9 


8 


4 


4 


1.550 


1.113 


461 


321 


37 


30 


46 


39 


10 


7 


22 


17 


5 


5 


81 


68 


11 


8 


23 


16 


13 


9 


117 


76 


16 


1 1 


38 


29 


59 


44 



250 



Table 72.— Number of Full-time Law F.nforccmenI Employees, Cities, October 31, 1989— Continued 



ruN 



FLORI D A— Continiwd 



Nicevillc 

North Bay Village .... 
Nonh Lauderdale — 

Nonh Miami 

North Miami Beach . 
North Palm Beach ... 

North Port 

Oak Hill 

Oakland 

Oakland Park 

Ocala 

Ocean Ridge 

Ocoee 

Okeechobee 

Opa Locka 

Orange City 

Orange Park 

Orlando 

Ormond Beach 

Oviedo 

Pahokee 

Palatka 

Palm Bay 

Palm Beach 

Palm Beach Gardens 
Palm Beach Shores .. 
Palmetto 

Palm Springs 

Panama City 

Panama City Beach 

Parker 

Parkland 

Pembroke Pines 

Pensacola 

Pern. 

Pinellas Park 

Plantation 

Plant City 

Pompano Beach 

Ponce Inlet 

Pon Orange 

Port Richey 

Port SI Joe 

Port St. Lucie 

Punta Gorda 

Quincy 

Redmgton Beach 

Riviera Beach 

Rockledge 

Royal Palm Beach .. 

St. .Augustine 

St ,\ugustine Beach . 

St. Cloud 

St. Leo 

St. Petersburg 

St. Petersburg Beach 

Sanford 

Sanibel 

Sarasota 

Satellite Beach 

Sea Ranch Lakes 

Sebastian 

Sebring 

Seminole Big Cypress 

Sewall's Point 

Sneads 

South Bay 

South Daytona 

South Miami 

South Palm Beach 

Springfield 

Starke 

Stuart 

Sunrise 

Surfside 



Total 

police 
employees 



Total 
ofTiccrs 



36 

70 

\2i 

126 

44 

35 

5 

2 

96 

167 
15 
}9 
22 
60 
14 
27 

724 
80 
31 
20 
42 

138 

115 
84 
11 
36 
30 

100 

37 

8 

16 

149 

187 
20 
93 

201 
68 

332 
13 
69 
13 
16 
92 
35 
69 
8 

113 
38 
34 
42 
9 
42 
3 

669 
47 
94 
33 

260 

21 

12 

27 

30 

34 

8 

7 

17 

32 

60 

8 

20 

21 

56 

178 

26 



Total 
civilians 



15 
19 

55 

104 

97 

34 

23 

5 

2 

71 

111 
10 
29 
16 

45 
13 
21 

505 
61 
23 
13 
28 
86 
75 
69 
8 
27 
24 
74 
29 
7 
14 

118 

131 
18 
65 

126 
51 

228 

8 

51 

8 

1 1 

65 

24 

57 

7 

94 

29 

25 

34 

8 

31 

2 

445 

31 

75 

23 

170 

15 

10 

20 

22 

27 

8 

3 

10 

23 

48 

8 

13 
15 
41 
121 
20 



25 

56 

5 

10 

6 

15 

1 

6 

219 

19 

8 

7 

14 

52 

40 

15 

3 

9 

6 

26 

8 

1 

2 

31 
56 



75 

17 

104 

5 

18 

5 

5 

27 

11 

12 

I 

19 

9 

9 

8 

I 

11 

1 

224 

16 

19 

10 

90 

6 



City 



FLORIDA— Continued 



Sweetwater 

Tallahassee 

Tampa 

Tarpon Springs 

Tavares 

Temple Terrace 

Tequesta 

Titusville 

Treasure Island .. 

Umatilla 

Valparaiso 

Venice 

Vero Beach 

Virginia Gardens 

Waldo 

Wauchula 

Webster 

West Melbourne . 

West Miami 

West Palm Beach 

Wewahitchka 

White Springs ... 

Wildwood 

Williston 

Wilton Manors .. 

Windermere 

Winter Garden .. 
Winter Haven ... 

Winter Park 

Winter Springs .. 

Zephyrhills 

Zolfo Spring 



GEORGIA 



Abbeville 

Acworth 

Adairsville 

Add 

Adrian 

.Marno 

Alapaha 

.Mbany 

.Alma 

Alpharetta 

Americus 

Aragon 

Arcade 

Arlington 

Ashburn 

Athens 

Atlanta 

Attapulgus 

.Auburn 

Augusta 

Austell 

Avondale Estates 

Bainbridge 

Baldwin 

Bamesville 

Bartow 

Baxley 

Berlin 

Blackshear 

Blairsville 

Blakely 

Bloomingdale ... 

Boston 

Bowdon 

Brooklet 

Brunswick 

Buchanan 

Buena Vista 

Butler 

Byron 



Total 

police 

employees 



Total 
officers 



22 
394 
980 
53 
23 
50 
21 
91 
20 
10 
13 
58 
85 

7 

6 
12 

3 

18 

17 

343 

1 

I 
15 
15 
39 

6 
30 
85 
91 
45 
31 

4 



13 

18 

2 

3 

I 

215 

12 

36 

47 

8 

1 

4 

12 

I 16 

,849 

1 

5 
178 
14 
11 
48 
4 
14 

14 
1 

II 
4 

19 
6 
4 

11 
3 

70 
5 
6 
5 

14 



20 

286 

743 

41 

17 

34 

16 

66 

17 

7 

8 

39 

59 

7 

6 

10 

3 

16 

13 

219 

1 

I 

11 

10 

28 

6 

23 

62 

68 

35 



7 
16 

2 

3 

I 

191 

11 
24 

38 
4 
1 

4 
9 

89 

1.518 

1 

5 

153 

10 

10 

33 
4 

13 
1 

12 
I 

10 
4 

15 
5 
4 
7 
3 

56 
5 
5 
5 

10 



4 
1 

4 

14 

1 

4 



251 



Table 72.— Number of Full-time Law Enforcement Employees, Cities, October 31, 1989— Continued 



City 



Tolal 

police 

employees 



Tolal 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



GEORGIA— Continued 



GEORGIA— Continued 



Cairo 

Calhoun 

Camilla 

Canon 

Canton 

Carrollton 

Cartersville 

Cave Spring 

Cedartown 

Chamblee 

Chatsworth 

Chauncey 

Chickamauga 

Clarkesville 

Clarkston 

Claxton 

Clayton 

Cleveland 

Climax 

Cochran 

Colbert 

College Park ... 

Collins 

Colquitt 

Columbus 

Comer 

Commerce 

Concord 

Conyers 

Coolidge 

Cordele 

Cornelia ....... 

Covington 

Cumming 

Cusseta 

Cuthbert 

Dallas 

Dalton 

Damascus 

Daniclsville 

Darien 

Davisboro 

Dawson 

Decatur 

Dillard 

Doerun 

Donalsonville .. 

Doraville 

Douglas 

Douglasvitle 

Dublm 

Duluth 

East Dublin 

East Ellijay 

Eastman 

East Point 

Eatonton 

Edison 

Elberton 

Ellaville 

Ellenlon 

Ellijay 

Emerson 

Enigma 

Fairburn 

Fairmont 

Fayetleville 

Fitzgerald 

Flowery Branch 

Folkslon 

Forest Park 

Forsyth 

Fort Gaines ... 
Fort Oglethorpe 
Fort Valley 



21 
31 
21 

1 
23 
52 
49 

4 
23 
33 
16 

1 

9 

6 
11 

7 

9 

6 

1 
10 

3 
81 

1 

10 

459 

2 

18 

2 
40 

3 
32 
14 
47 
14 

8 
11 
16 
78 

2 

1 

6 

3 
21 
48 

2 

5 

12 
34 
37 
32 
43 
30 
12 

3 

16 

109 

11 

3 
25 

4 

1 

7 

2 

1 
16 

3 
25 
25 

I 

5 
65 
14 

3 
20 
32 1 



17 

26 

15 

1 

21 

44 

39 

4 

19 

31 

11 

1 

5 

6 

9 

7 

9 

6 

1 

10 

2 

67 

1 

6 

-367 

2 

12 

1 

29 

3 

25 

14 

40 

9 

4 

7 

13 

63 

2 

1 

6 

3 

17 

38 

1 

4 

8 

25 

29 

26 

35 

25 

7 

3 

12 

98 

10 

3 

21 

4 

1 

7 

2 

1 

12 

3 

17 

22 

I 

5 

44 

13 

3 

15 

26 



Gainesville 

Garden City 

Glennville 

Glenwood 

Gordon 

GrantviUe 

Gray 

Greensboro 

Griffin 

Grovetown 

Hagan 

Hahira 

Hampton 

Hapeville 

Harlem 

Hartwell 

Hawkinsville 

Hazlehurst 

Helen 

Helena 

Hepzibah 

Hiawassee 

Hinesville 

Hoboken 

Hogansville 

Holly Springs 

Homerville 

Ideal 

Irwinton 

Ivey 

Jackson 

Jasper 

Jefferson 

Jeffersonville 

Jesup 

Jonesboro 

Kennesaw 

Kingsland 

Lafayette 

La Grange 

Lake City 

Lakeland 

Lavonia 

Lawrenceville 

Leary 

Leesburg 

Lenox 

Leslie 

Lilburn 

Lincolnton 

Linwood 

Lithonia 

Locust Grove 

Loganville 

Lookout Mountain 

Louisville 

Ludowici 

Lumpkin 

Luthersville 

Lyons 

Macon 

Madison 

Manchester 

Mansfield 

Marietta 

Marshallville 

McCaysville 

McDonough 

Mclntyrc 

Mc Rae 

Meigs 

Metter 

Midway 

Milan 

Milledgevillc 



87 

20 

13 

3 

11 

4 

4 

9 

77 

12 

1 

7 

7 

35 

10 

14 

II 

16 

11 

1 

4 

4 

51 

3 

13 

2 

9 

1 

2 

2 

18 

7 

11 

5 

28 

8 

31 

23 

22 

76 

9 

7 

12 

31 

2 

3 

2 

4 

20 

4 

2 

II 

8 

10 

9 

10 

9 

7 

4 

15 

310 

10 

16 

3 

II 

6 

4 

9 

1 

10 

5 

II 

3 

3 

53 



7 


4 


4 




4 




8 


1 


60 


17 


8 
1 


4 


4 


3 


7 




31 


4 


5 


5 


1 1 


3 


10 


1 


9 


7 


8 

1 


3 


4 




2 


2 


40 


11 


2 


1 


9 


4 


•) 




6 

I 


3 


1 




-) 




14 


4 


7 




7 


4 


4 


1 


21 


7 


8 




22 


9 


17 


6 


17 


5 


63 


13 


5 


4 


5 


2 


8 


4 


26 


5 


3 




•) 




4 




14 


6 


3 


1 


8 


3 


6 


2 


6 


4 


7 


■) 


10 




4 


5 


7 




4 




1 1 


4 


253 


57 


9 


1 


12 


4 


1 




98 


20 


5 


1 


4 




8 
1 


1 


7 


3 


s 




1 1 




2 


1 


3 





29 



252 



Table 72.— Number of Full-time Mw Enforcement Employees, Cities, October 31, 1989— Continued 



Cii\ 



GEORGIA— Continued 



Millcn 

Monroe 

Montezuma 

Monliccllo 

Morrow 

Mor\ en 

Moultrie 

Mountain City 
Mount Vernon 

Nahunta 

Nashville 

Newnan 

Newton 

Nicholls 

Norcross 

Oakwood 

Ocilla 

Odum 

Oglethorpe 

Omega 

Oxford 

Palmetto 

Patterson 

Peachtree City .. 

Pearson 

Pelham 

Pembroke 

Perry 

Pine Lake 

Pine Mountain 

Pmeview 

Plams 

Pooler 

Ponerdaie 

Port Wentworth 

Powder Springs . 
Quitman 

Reidsville 

Remenon 

Richland 

Richmond Hill 

Rmggold 

Rincon 

Riverdale 

Roberta 

Rochelle 

Rockmart 

Rome 

Rossville 

Roswell 

Royston 

Rutledge 

St. Marys 

Sandersville 

Sardis 

Savannah 

Savannah Beach 

Senoia 

Shellman 

Shiloh 

Sky Valley 

Smyrna 

Snellville 

Soperton 

Sparks 

Sparta 

Springfield 

Statesboro 

Statham 

Stone Mountain 

Summerville ... 

Swainsboro — 

Sycamore 

Sylvania 

Sylvester 



Total 

police 

rmplovecs 



Total 
officers 



34 

4 

14 

6 

31 

3 

5 

I 

3 

II 

5 

10 

16 

17 

8 

3 

6 

12 

4 

9 

32 

3 

4 

17 

76 

14 

96 

14 

2 

31 

21 

3 

406 

22 

4 

3 

1 

7 

96 

29 

10 

1 

12 

4 

44 

3 

17 

17 

29 

3 

12 

18 



Total 
civilians 



26 
4 
8 
5 
29 
3 
4 
1 
3 

10 

5 

9 

12 

13 

4 

3 

4 

7 

4 

7 

26 

3 

4 

II 

65 

9 

71 

9 

1 

25 

15 

3 

319 

15 

4 

3 

1 

5 

78 

23 

6 

1 

8 

4 

36 

3 

12 

17 

16 

2 

10 
14 



City 



GEORGIA— Continued 



Talbotton 

Tallapoosa 

Tallulah Falls . 
Thomaslon — 
Thomasville 

Thomson 

Thunderbolt 

Tifton 

Tignall 

Toccoa 

Trenton 

Trion 

Tunnel Hill ... 

Twin City 

Tyrone 

Unadilla 

Union City ... 
Union Point 

Uvalda 

Valdosta 

Vidalia 

Vienna 

Villa Rica .... 

Wadley 

Warner Robins 
Warrenton — 

Warwick 

Washington ... 
Walkinsville .. 

Waycross 

Waynesboro 
West Point ... 
Willacoochee 

Winder 

Winterville 

Woodbine 

Woodbury — 

Woodstock 

Wrens 

Wrightsville ... 
Zebulon 



Hilo .... 
Honolulu 



HAWAII 



IDAHO 



Aberdeen 

American Falls .. 

Blackfool 

Boise 

Bonners Ferry ... 

Buhl 

Caldwell 

Chubbuck 

Coeur d'Alene . . . 

Emmett 

Firth 

Fruilland 

Garden City 

Gooding 

Grangeville 

Hailey 

Hcyburn 

Homedale 

Idaho Falls 

Jerome 

Kellogg 

Ketchum 

Lava Hot Springs 

Lewiston 

McCall 

Meridian 



Total 

police 

employees 



Total 
officers 



2 

II 

1 

29 

51 

12 
9 

50 
2 

27 
5 
7 
4 
4 
8 
7 

26 
7 
1 

95 

31 
6 

20 

4 

100 

6 

2 

18 
4 

68 

21 

17 
3 

28 
2 

5 

10 

20 

14 

5 

4 



179 
2,185 



25 

179 

7 

10 

38 

13 

61 

9 

1 

5 

18 

7 

6 

7 

4 

5 

92 

12 

10 

14 

1 

55 

5 

14 



Total 
civilians 



1 

26 
40 
10 

5 

42 
2 

22 
5 
7 
4 
4 
7 
4 

21 
5 
I 

78 

28 
6 

13 
4 

76 
6 
2 

12 

4 

50 

17 
13 

2 

22 

2 

5 

8 

17 

14 

5 

4 



114 
1,761 



4 
7 

17 

152 

6 

6 

28 

II 

43 
9 
1 
5 

14 
7 
5 
6 
4 
5 

69 

12 
6 

II 
I 

40 
5 

12 



3 
11 
2 
4 



17 
3 



24 



18 
4 

4 
I 
6 



65 
424 



3 
1 
8 

27 
1 
4 

10 
2 

18 



23 



15 
2 



253 



Table 72.— Number of Full-time Law Enforcement Employees, Cities, October 31, 1989— Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



IDAHO— Continued 



ILLINOIS— Continued 



Montpelier 

Moscow 

Mountain Home 

Nampa 

New Plymouth 

Oronno 

Osburn 

Payette 

Pinehurst 

Pocatello 

Post Falls 

Potlach 

Preston 

Priest River 

Rexburg 

Rigby 

Rupert 

St. Anthony 

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 

Arlington Heights 
Arthur 



Ashland 

Auburn 

Aurora 

Avon 

Barrington 

Barrington Hills 

Bartlett 

Bartonville 

Batavia 

Beardstown 

Bedford Park .. 

Beecher 

Belleville 

Bellwood 

Belvidere 

Benld 

Bensenville 

Benton 

Berkeley 

Berwyn 

Bethallo 

Bloomingdale .. 
Bloom ington ... 

Blue Island 

Blue Mound ... 

Bolingbrook 

Bourbonnais ... 

Bradley 

Braidwood 



9 
78 

1 

8 
24 

3 
48 

3 
77 

1 

2 

10 
20 

4 
133 

4 

I 

8 
220 

I 
39 
26 
35 
10 
27 
12 
31 

5 
75 
55 
27 

4 
43 
13 
16 
86 
13 
46 
88 
40 

I 
79 
18 
23 

8 



26 


5 


20 


2 


36 
1 


12 


6 


1 


-) 




9 


1 


■> 




66 


18 


12 


6 








1 


21 


6 






11 


1 








1 


11 


6 


6 




6 




8 




40 


13 


3 




8 


4 


7 




5 


4 


61 

1 


17 


7 


1 


19 


5 


■\ 




38 


10 


3 




66 
1 


II 


■> 




in 




13 


7 


4 




99 


34 


4 




1 




4 


4 


87 
1 


33 


28 


11 


18 


8 


25 


10 


6 


4 


21 


6 


8 


4 


25 


6 


5 




65 


10 


41 


14 


25 


2 


3 


1 


32 


11 


8 


5 


13 


3 


65 


21 


9 


4 


34 


12 


77 


1 1 


30 


10 



Breese 

Bridgeport 

Bridgeview 

Brighton 

Broadview 

Brookfield 

Brooklyn 

Buffalo Grove 

Bull Valley 

Bunker Hill 

Burbank 

Burnham 

Burr Ridge 

Byron 

Cahokia 

Cairo 

Calumet City 

Calumet Park 

Camp Point 

Canton 

Carbon Cliff 

Carbondale 

Carlinville 

Carlyle 

Carmi 

Carol Stream 

Carpentersville 

Carrollton 

Carterville 

Carthage 

Cary 

Casey 

Caseyville 

Central City 

Cenlralia 

Cenlreville 

Champaign 

Channahon 

Charleston 

Chatham 

Chenoa 

Cherry Valley 

Chester 

Chicago , 

Chicago Heights .., 

Chicago Ridge 

Chillicothc 

Chrisman , 

Christopher , 

Cicero , 

Clarendon Hills 

Clinton 

Coal City 

Coal Valley 

Cobdcn 

Colhnsville 

Colona , 

Columbia , 

Coulterville 

Country Club Hills 

Countryside , 

Crest Hili 

Crestwood , 

Crete 

Creve Coeur 

Crystal Lake 

Danville , 

Darien 

Decatur 

Decrfield , 

De Kalb 

De Solo 

Dcs Plaines 

Dixmoor , 

Dixon 



8 


5 


2 


2 


46 


40 


4 


3 


33 


32 


34 


28 


7 


6 


60 


52 


2 


2 


4 


2 


51 


43 


13 


9 


20 


18 


5 


5 


37 


25 


19 


14 


94 


66 


21 


16 


26 


19 


2 


2 


62 


49 


13 


9 


6 


6 


10 


9 


58 


42 


42 


38 


5 


5 


4 


4 


3 


3 


19 


16 


6 


6 


10 


6 


2 


2 


36 


28 


16 


12 


116 


91 


12 


7 


36 


28 


7 


7 


2 


2 


9 


9 


9 


6 


1 3,469 


11.828 


102 


79 


29 


26 


12 


8 


5 


5 


115 


93 


18 


13 


18 


14 


5 


4 


7 


6 


2 


2 


41 


32 


3 


3 


12 


7 


26 


20 


27 


21 


23 


18 


6 


5 


15 


11 


7 


6 


54 


38 


73 


60 


34 


25 


172 


137 


48 


36 


55 


45 


1 


2 


118 


98 


10 


9 


24 


21 



254 



Table 72. — Number of Full-lime l.aw Knforcemenl Employees, Cities, October 31, 1989 — Continued 



Cily 


Total 

police 

employees 


Total 
ofTlcers 


Total 
civilians 


Cily 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


ILLINOIS— Continued 

Dolton ■ 


44 

86 

6 

1.1 

^ 

11 
2 

18 

i 

5 

11 

7 

38 

51 

85 

25 

31 

3 

10 
128 
91 
83 
36 

3 
4 

2 

3 

196 

66 

5 

14 

9 

1 

40 

5 

7 

2 

15 

22 

7 

49 

10 

20 

9 

15 

64 

5 

52 

5 

9 

65 

4 

1 

14 

29 

6 

8 

1 

8 
3 
3 

14 

40 

60 

39 

78 

20 

1 

1 

62 

15 

6 

2 

3 


38 
63 

5 
9 

2 

7 
2 
12 
2 
5 

10 
7 
30 
29 
64 
19 
24 

6 

104 

78 

62 

32 

3 

4 

1 

2 

3 

150 

50 

5 

10 
6 
1 
32 
3 
4 
2 

10 

16 

5 

34 

7 

15 

9 

14 

49 

5 

45 

4 

8 

48 

4 

1 

9 
19 
3 
6 
1 
5 
3 
3 

10 

32 

43 

29 

61 

14 

1 

1 

54 

10 

3 

-) 

3 


6 
23 

1 
4 


ILLINOIS— Continued 


3 
13 
33 

4 

4 

1 
55 
18 

6 
16 
96 
30 

8 
26 

2 

3 
11 

2 

30 

18 

70 

11 

6 

33 

2 

38 

14 

99 

5 

46 

14 

7 

1 

14 

12 

38 

40 

4 

17 

5 

209 

2 

20 

71 

14 

21 

4 

1 

2 

4 

5 

38 

27 

13 

52 

13 

2 

7 

4 

31 

1 

56 

21 

9 

4 

18 

3 

3 

46 

26 

19 

34 

10 

39 

15 


3 

8 

22 

4 

4 

1 

36 

12 

5 

12 

73 

23 

8 

21 

2 

3 

11 

2 

23 

13 

57 

7 

6 

25 

2 

27 

13 

80 

1 

35 

9 

7 

1 

10 

8 

26 

32 

4 

11 

5 

168 

2 

19 

56 

11 

17 

4 

1 

2 

4 

4 

28 

22 

11 

38 

11 

2 

6 

3 

22 

1 

44 

18 

6 

4 

16 

3 

3 

35 

25 

15 

32 

9 

26 

13 




Downers Grove 


Greenville 


5 






1 1 








Durand 


Hampshire . 




Dwight 


4 


Hampton 




Earlville 




19 




6 
1 








Hartford 




East Dubuque 


Harvard 


4 


EasI Dundee 


1 


Harvey 


•)3 


East Hazel Crest 




7 




8 

I") 

21 
7 
7 
1 

4 

24 

13 

21 

4 






Easi Peoria 


Hazel Crest 


5 


East Si. Louis 






Edwardsville 


Henry 


















Hickon Hills 


7 


Elgin 




5 


Elk Grove Village 


Highland Park 


13 














El Paso 


Hillside 


g 


Energy 




Hinckley 










1 1 


Erie 






1 


Eureka 




Hoffman Estates 


19 




46 
16 




4 






1 1 


Fairburv 




5 


Fairfield 


4 
3 


Huntlev 






Hutsonville 








4 




8 
2 
3 




4 


Farmer Cily 


Itasca 


12 






g 










5 
6 

2 

15 
3 
5 




6 


Rossmoor 


Johnston City 








41 


Forest Park 






Forest View 




1 






15 






3 


Frankfort 


1 
15 

7 

1 

1 

17 




4 




Kildeer 




Freeburg 


Kincaid 




Freepon 


Kirkland 










Galena 


Lacon 


1 






10 






5 


Gardner 




Lake Bluff 


2 




5 

10 
3 

2 

3 






Geneva 


Lake-in-the-Hills 


2 


Genoa 








Lake Villa 




GifTord 




1 


Gillespie 




9 








Girard 


4 
8 

17 
10 
17 
6 




12 


Glen Carbon . . 


La Salle 


3 


Glencoe 


Lebanon 


3 


Glendale Heights 


Leland Grove 




Glen Ellyn 




2 


Glenview 


Lcroy 










Golf 






Grafton 




Lincoln 


1 


Granite City 


8 
5 
3 


Lincolnshire 


4 






■} 


Grayville 


Lmdenhurst 


1 


Greenfield 


Lisle 


13 


Green Rock 




Litchfield 


2 



255 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1989 — Continued 



City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
ofTicers 


Total 
civilians 


ILLINOIS— Continued 


23 

78 

30 

12 

27 

1 

29 

12 

4 

4 

1 

7 

12 

2! 

3! 

1 

3 

7 

10 

3 

5 

5 

2 

42 

49 

71 

17 

1 

39 

9 

66 

15 

1 

6 

14 

26 

15 

1 

7 

1 

6 

14 

85 

5 

3 

26 

17 

9 

21 

6 

20 

60 

18 

2 

6 

4 

90 

4 

7 

37 

8 

38 

17 

137 

4 

5 

1 

2 

3 

4 

14 

6 

63 

6 

55 


16 

61 

21 

11 

23 

1 

23 

11 

4 

4 

1 

7 

8 

16 

24 

1 

3 

6 

9 

3 

3 

5 

2 

33 

40 

59 

14 

1 

28 

5 

59 

11 

1 

6 

12 

21 

1 1 

1 

4 

6 

13 

65 

5 

3 

21 

11 

8 

17 

6 

15 

44 

13 

2 

4 

3 

70 

3 

3 

31 

7 

28 

14 

98 

4 

5 

1 

2 

3 

4 

13 

5 

51 

3 

46 


7 
17 
9 
1 
4 


ILLINOIS— Continued 

Norridge 


38 

14 

79 

62 

28 

33 

1 

40 

49 

22 

45 

126 

156 

1 

29 

1 

7 

2 

2 

14 

19 

5 

10 
76 
31 
12 
86 
2 

1 
25 
29 
11 
13 
20 
10 
47 
66 
6 
1 

51 

271 

14 

1 1 

23 

5 

4 

5 

6 

17 

12 

3 

23 

14 

3 

10 

10 

3 

79 

1 

27 

4 

5 

22 

3 

32 

38 

23 

22 

11 

11 

26 

5 

4 

19 

318 


31 

13 

58 

43 

20 

27 

1 

30 

38 

17 

34 

100 

122 

1 

21 

1 

7 

2 

2 

9 

17 

5 

9 

53 

26 

10 

60 

~i 

1 

22 

25 

9 

8 

16 

6 

38 

50 

6 

1 

46 
197 

10 
6 

18 
5 
2 
4 
6 

12 
8 
3 

17 
9 
3 
9 

10 
3 

70 
1 

21 
4 
5 

18 
3 

26 

29 

17 

19 
5 

10 

19 
5 
4 

14 
238 


7 




1 


Loves Park 


Northbrook 


t\ 


Lynwood 


North Chicago 


19 


Northfield 


8 


Mackinaw 


Northlake 


5 


Macomb 


6 
1 


North Pekin 








10 




Oak Brook 


1 1 


Manhattan . 


5 


Manito 


4 

5 
7 

1 

1 

2 

9 
9 
12 

3 


Oak Forest . ... 


1 1 






26 




Oak Park 


34 




Oakwood Hills 




Markham 


O'Fallon 


8 


Maroa 


Ogden 




Marquette Heights 


Oglesby 










Marshall 


Old Shawneelown 




Martinsville 


Olney 


5 






2 








Mason City 


Orland Hills 


I 


Matteson 


Orland Park 


23 






5 






2 


McCook 


Palatine 


26 


McCullom Lake 


Palestine 




McHenry 


1 1 
4 

7 
4 


Palmyra 




McLeansboro 


Palos Heights 


3 




Palos Hills 


4 


Mendota 


Palos Park 


2 


Meredosia 


Pana 


5 




2 
5 
4 


Paris 


4 




Park City 


4 


Midlothian 


Park Forest 


9 




Park Ridge 


16 








Millstadt 


3 






Minonk 


Pekin 


5 


Minooka 


1 
20 

5 
6 

1 
4 

5 
16 

5 

2 

20 
1 

4 
6 
1 

10 
3 

39 


Peoria 


74 






4 


Moline 




5 


Momence 


Peru 


5 




Petersburg 






2 


Montgomery 




1 


Monticello 


Pittsfield 






Plainficld 


5 




Piano 


4 




Polo 




Morton Grove 


Pontiac . . 


6 






5 












1 


Mount Olive 


Princeton 














9 


Mount Stcrhng 






Mount Vernon 


Rantoul 


6 




Red Bud 










Murphysboro 


Richlon Park 


4 








Nashville 




6 


National City 

Nauvoo 




9 




6 




1 
1 
12 
3 
9 




3 






6 


New Baden 




1 


New Lenox 


Rochellc 


7 








Niles 


Rockdale 




Nokomis 


Rock Falls 


5 


Normal 




80 



256 



Table 72.— Number of Full-time Law Enforcement Employees, Cities, October 31, 1989 — Continued 



City 



ILLINOIS— Continued 



Rock Island 

Rocklon 

Rolling Meadows 

RomeoviIIc 

Roodhouse 

Roscoe 

Rosclle 

Roscmoni 

Round Lake 

Round Lake Beach 

Round Lake Heights .. 

Round Lake Park 

Roxana 

Royalton 

Rushville 

Saint Charles 

Salem 

Sandwich 

Sauget 

Sauk Village 

Sa^anna 

Schaumburg 

Schiller Park 

Seneca 

Sesser 

Shaw'neetown 

Shelbyville 

Shorewood 

Silvis 

Skokie 

Sleepy Hollow 

Smithlon 

South Barrington 

South Beloil 

South Chicago Heights 

South Elgin 

South Holland 

South Jacksonville 

South Roxana 

Sparta 

Springfield 

Spring Valley 

Staunton 

Steger 

Sterling 

Stickney 

Stockton 

Stone Park 

Stonington 

Streamwood 

Slreator 

Sugar Grove 

Sullivan 

Summit 

Swansea 

Sycamore 

Tampico 

Taylorville 

Thomasboro 

Thornton 

Tinley Park 

Tolono 

Tower Lakes 

Tremonl 

Trenton 

Troy 

Tuscola 

University Park 

Urbana 

Vandalia 

Venice 

Vernon Hills 

Vienna 

Villa Grove 

Villa Park 



lotal 

police 

employees 



10') 

5 

70 

40 

9 

7 

45 

88 

10 

29 

2 

6 

6 

2 

5 

47 

17 

13 

7 

23 

9 

177 

34 

3 

5 

4 

8 

11 

17 

137 

5 

3 

8 

11 

10 

16 

40 

4 

3 

12 

265 

10 

8 

11 

38 

17 

3 

16 

1 

57 

25 

4 

8 

31 

13 

18 

I 

20 

2 

7 

54 

2 

6 

2 

3 

12 

7 

18 

54 

18 

8 

35 

2 

4 

48 



Total 
ofTicers 



78 
5 

49 

29 
4 
6 

34 

65 
6 

20 
1 

6 
5 
2 

5 

40 

12 

7 

7 

17 
9 
132 
27 
3 
5 
4 
7 

10 

II 

106 

5 

3 

7 

7 

7 

12 

30 

4 

3 

9 

199 

6 

5 

8 

26 

13 

3 

13 

1 

40 

20 

4 

7 

24 

10 

16 

1 

15 

2 

6 

44 

2 

6 

2 

3 

8 

6 

13 

43 

12 

5 

25 

2 

4 

35 



Total 
civilians 



City 



ILLINOIS— Continued 



Virden 

Warren 

Warrensburg 

WarrenviUe 

Washington 

Washington Park 

Waterloo 

Watseka 

Wauconda 

Waukegan 

Wayne 

Westchester 

West Chicago 

West City 

West Dundee 

Western Springs . 
West Frankfort .. 

Westmont 

Wheaton 

Wheeling 

White Hall 

Willowbrook 

Willow Springs .. 

Wilmette 

Wilmington 

Winficld 

Winnebago 

Winnetka 

Winthrop Harbor 

Witt 

Wood Dale 

Woodhull 

Woodridge 

Wood River 

Woodstock 

Worth 

Yorkville 

Zeigler 

Zion 



INDIANA 



13 



Alexandria 

Anderson 

Angola 

Auburn 

Aurora 

Batesville 

Bedford 

Beech Grove 

Berne 

Bloomington ... 

Bluffton 

Boonville 

Brazil 

Bremen 

Brownsburg — 
Bums Harbor 
Cambridge City 

Carmel 

Cedar Lake — 
Charlestown 
Chesterfield — 

Clarksville 

Columbus 

Connersville .. 
Crawfordsville 
Crown Point 

Decatur 

Dyer 

East Chicago . 
Edinburgh — 

Elkhart 

Elwood 

Evansville 



Total 

police 

employees 



3 

1 
18 
15 
15 

7 

16 

17 

157 

5 
40 
33 

8 
12 
26 
16 
49 
70 
71 
10 
22 
15 
59 
13 
13 

I 
35 
14 

1 
43 

1 
53 
27 
36 
22 

9 

3 
53 



Total 
otTiccrs 



4 

3 

1 
15 
12 
II 

6 

II 

10 

113 

4 
34 
21 

4 
II 
20 
12 
37 
51 
50 

4 
18 
11 
43 

8 

12 

1 

25 

10 

1 

30 

1 

39 

1 

25 
22 

9 

3 
37 



14 


10 


163 


130 


14 


10 


20 


16 


10 


6 


10 


6 


37 


31 


30 


23 


4 


4 


83 


60 


18 


16 


1 1 


II 


14 


9 


13 


8 


23 


17 


9 


5 


5 


5 


58 


43 


17 


12 


12 


8 


6 


5 


32 


25 


72 


63 


35 


31 


44 


30 


29 


23 


18 


15 


22 


16 


122 


93 


16 


10 


118 


95 


20 


16 


278 


236 



257 



Table 72.— Number of Full-time Law Enforcement Employees, Cities, October 31, 1989— Continued 



City 



INDIANA— Continued 



Fairmouni 

Fort Wayne 

Fowler 

Franltfort 

Garrett 

Gary 

Gas City 

Georgetown 

Goshen 

Greenfield 

Greenwood 

GrifTith 

Hammond 

Hartford Cily 

Highland 

Hobart 

Hunlingburg 

Huntmgton 

Indianapolis 

Jasonville 

Jasper 

Jeffersonville 

Kendallville 

Kokomo 

Kouts 

Lafayette 

La Porte 

Lawrence 

Lebanon 

Ligonier 

Linton 

Logansport 

Long Beach 

Loogootee 

Lowell 

Marion 

Martinsville 

Merrillville 

Michigan City 

Mishawaka 

Monticello 

Mooresville 

Muncie 

Munster 

Nappanee 

New Albany 

New Castle 

New Haven 

New Whiteland 

Noblesville 

North Manchester 

North Vernon 

Petersburg 

Plainfield 

Portage 

Portland 

Princes Lakes 

Rensselaer 

Richmond 

Rushville 

Schererville 

Scottsburg 

Sellersburg 

South Bend 

Speedway 

Terre Haute 

Trail Creek 

Union City 

Valparaiso 

Wabash 

Warsaw 

West Lafayette 
West Terre Haute 

Westville 

Winchester 



Total 

police 

employees 



346 

4 

35 

14 

294 

13 

2 

42 

27 

53 

36 

226 

18 

42 

39 

7 

45 

1,352 

4 

21 

47 

19 

133 

2 

104 

39 

49 

24 

7 

13 

38 

5 

5 

16 

67 

21 

49 

88 

86 

14 

18 

138 

37 

14 

63 

41 

13 

10 

31 

13 

15 

7 

30 

47 

16 

2 

11 

97 

16 

36 

11 

14 

290 

33 

131 

4 

11 

49 

26 

37 

42 

10 

3 

14 



Total 
officers 



4 
309 

4 
27 

9 
210 

9 

2 
37 
21 
38 
26 
186 
11 
36 
30 

7 

39 

997 

4 
15 
41 
14 
98 

2 

82 

35 

36 

20 

6 

8 

33 

5 

4 

11 

63 

16 

41 

80 

76 

9 

13 

118 

29 

10 

57 

38 

9 

6 

24 

10 

11 

4 

24 

37 

12 

2 

7 

75 

12 

29 

7 

10 

228 

25 

115 

4 

7 

36 

25 

29 

34 

4 

3 

10 



Total 
civilians 



6 
355 



City 



INDIANA— Continued 



Winona Lake 



Adel 

Albia 

Algona 

Altoona 

Ames 

Anamosa 

Ankeny 

Atlantic 

Audubon 

Belle Plaine ... 

Bclmond 

Bettendorf 

Bloomfield 

Boone 

Burlington 

Camanche 

Carlisle 

Carroll 

Carter Lake 
Cedar Falls ... 
Cedar Rapids . 

Centervilie 

Chariton 

Charles City .. 

Cherokee 

Clarinda 

Clarion 

Clear Lake .... 

Clinton 

Clive 

Coralville 

Council Bluffs 

Cresco 

Creston 

Davenport — 

Decorah 

Denison 

Des Moines 

Dc Witt 

Dubuque 

Dyersville 

Eagle Grove . . 

Eldora 

Eldridge 

Emmetsburg 

Estherville 

Evansdale 

Fairfield 

Forest City 

Fort Dodge . . . 

Fort Madison . 

Garner 

Glenwood 

Grinnell 

Grundy Center 

Hampton 

Harlan 

Hawardcn 

Hiawatha 

Humboldt 

Independence . 

Indianola 

Iowa City 

Iowa Falls 

Jefferson 

Johnston 

Keokuk 

Knoxvillc 

le Claire 

Lc Mars 

Manchester ... 



IOWA 



Total 

police 

employees 



5 

10 

14 

11 

65 

6 

27 

13 

4 

4 

4 

41 

6 

21 

47 

6 

5 

20 

7 

55 

190 

16 

7 

16 

12 

14 

6 

17 

45 

14 

22 

112 

6 

13 

175 

17 

17 

451 

6 

82 

g 

7 

5 

5 

7 

II 

6 

17 

8 

44 

27 

5 

7 

14 

4 

II 

10 

4 

5 

7 

14 

15 

63 

16 

8 

9 

36 

16 

7 

12 

12 



Total 
officers 



5 

7 

9 

10 

50 

5 

21 

11 

4 

4 

4 

30 

6 

14 

34 

6 

5 

13 

6 

45 

148 

11 

6 

13 

10 

9 

6 

12 

41 

10 

20 

92 

6 

9 

140 

13 

13 

340 

6 

76 

5 

7 

5 

5 

7 

II 

5 

12 

7 

41 

21 

5 

7 

13 

4 

7 

8 

4 

5 

7 

10 

13 

53 

II 



26 
12 

5 
12 

8 



258 



Table 72.— Number of Full-time Law Enforcement Employees, Cities, October 31, 1989— Continued 



City 



low A— Conlinued 



Maquokcia 

Marion 

Marshalllown 

Mason Cily 

Missouri Valley .. 

Moniicello 

Mount Pleasant 
Mount Vernon ... 

Muscatine 

Nevada 

New Hampton 

Newton 

Norwalk 

Oelwein 

Onawa 

Orange City 

Osage 

Osceola 

Oskaloosa 

Oltumwa 

Pella 

Perry 

Pleasant Hill 

Red Oak 

Rock Rapids 

Rock Valley 

Sac City 

Sergeant BlufT ... 

Sheldon 

Shenandoah 

Sioux Center — 

Sioux City 

Spencer 

Spirit Lake 

Storm Lake 

Stor> City 

Tama 

Tipton 

Urbandale 

Vimon 

Washington 

Waterloo 

Waukee 

Waukon 

Waverly 

Webster City .... 
West Burlmgton 
West Des Moines 

West Union 

Windsor Heights 
Winterset 



KANSAS 



Abilene 

Andale 

Andover 

Anthony 

Arcadia 

Argonia 

Arkansas City 

Arma 

Atchison 

Attica 

Augusta 

Baldwin City 
Baxter Springs 
Belle Plaine 

Belleville 

Beloit 

Blue Rapids 
Bonner Springs 

Burden 

Burlmgame 
Burlmgton 



Total 

police 

employees 



Total 
officers 



1.1 
.16 
59 
55 

5 

S 
1.1 

4 
41 

8 

6 

yo 

8 

II 
4 
4 
6 
8 

22 

36 

II 

15 
7 

14 
3 
3 
5 
5 

11 

II 

5 

135 

24 
7 

14 
4 
5 
4 

35 
7 
8 
140 
5 
6 

13 

18 
6 

49 
5 

12 



15 
1 
8 
8 
1 
1 

27 
4 

30 
2 

22 
5 
8 
5 
4 

II 
1 

14 
1 
2 
8 



Total 
civilians 



9 

30 

42 

41 
5 
5 

12 
4 

33 
7 
6 

25 
7 

10 
4 
4 
6 
7 

17 

31 
8 

II 
7 

10 
3 
3 
5 
5 
7 
8 
5 
110 

17 
6 

13 
4 
4 
4 



116 
5 
6 

12 

13 
6 

40 
5 

11 
6 



City 



KANSAS— Continued 



24 



Bushton 

Caldwell 

Caney 

Canton 

Carbondale 

Cawkcr City 

Cedar Vale 

Chanute 

Chapman 

Cheney 

Cherokee 

Cherryvale 

Chetopa 

Cimarron 

Clay Center 

Clearwater 

Clyde 

Coffeyville 

Colby 

Columbus 

Colwich 

Concordia 

Conway Springs 
Council Grove 

Derby 

Dodge City 

Douglas 

Eastborough 

Edgerton 

Edwardsville 

El Dorado 

Elkhart 

Ellinwood 

Ellis 

Ellsworth 

Elwood 

Emporia 

Enterprise 

Erie 

Eskridge 

Eudora 

Eureka 

Fairway 

Fort Scott 

Frankfort 

Fredonia 

Frontenac 

Galena 

Garden City — 

Garden Plain ... 

Gardner 

Garnett 

Girard 

Goddard 

Goodland 

Grandview Plaza 

Great Bend 

Halstead 

Harper 

Hays 

Haysville 

Herington 

Hesston 

Hiawatha 

Highland 

Hill Cily 

Hillsboro 

Hoisington 

Holton 

Holyrood 

Hope 

Horton 

Hoxie 

Hugoton 

Humboldt 



Total 

police 

imployce^ 



loial 
officers 



1 

4 
4 
1 

2 

I 

1 

24 

2 

3 

2 

5 

4 

2 

7 

4 

I 

29 

15 

7 

I 

13 

4 

5 

25 

37 

4 

7 

3 

10 
38 
3 
5 
5 
5 
3 
58 
1 
3 
I 
3 
5 
7 
21 
1 

8 

7 

9 

67 

I 

7 

12 

5 

3 

15 

3 

42 

5 

3 

33 

21 

10 

5 

12 
2 
5 
3 

10 
5 
4 
1 
4 
3 
6 
5 



Total 
civilians 



1 

4 
4 
1 

2 
I 
1 
20 
2 
3 
2 
5 
4 
2 

6 

4 
1 

22 

15 
6 
I 

9 
4 
5 

18 

26 
3 
7 
3 

10 

32 
3 
5 
5 
5 
3 

40 
1 
3 
1 
3 
5 
7 

16 
1 
7 
4 
9 

42 
1 

6 
8 
5 
3 
13 
3 

29 
5 
3 

24 
12 
6 
5 
7 
2 
5 
3 
7 
5 
2 

1 
4 

3 

5 



7 

11 

1 



25 



259 



Table 72.— Number of Full-time Law Enforcement Employees, Cities, October 31, 1989 — Continued 



City 



KANSAS— Continued 



Hutchinson 

Independence .. 

lola 

Junction City .. 

Kanopolis 

Kansas City ... 

Kingman 

Kinsley 

Kiowa 

Lacrosse 

Lacygne 

Lake Quivira .. 

Lansing 

Lawrence 

Leavenworth . . . 

Leawood 

Lebo 

Lenexa 

Leon 

Le Roy 

Liberal 

Lindsborg 

Lyndon 

Lyons 

Madison 

Maize 

McLouth 

Marion 

Marquette 

Marysville 

McPherson 

Meade 

Medicine Lodge 

Merriam 

Minneapolis ... 

Mission 

Moondridge — 
Mound Valley 
Mount Hope 

Mulvane 

Neodesha 

Ness City 

Newton 

North Newton 

Norton 

Oakley 

Oberlin 

Olathe 

Osage City 

Osawatomie 

Osborne 

Oswego 

Ottawa 

Overbrook — 
Overland Park 
Oxford 

Paola 

Park City 

Parker 

Parsons 

Peabody 

Phillipsburg ... 

Pittsburg 

PlainviUe 

Prairie Village 

Pratt 

Quinter 

Roeland Park . 

Rose Hill 

Russell 

Sabetha 

Saint Francis 

Saint George 

Saint John 

Saint Marys 



Total 

police 

employees 



78 

25 

20 

57 

1 

412 

9 

4 

2 

3 

1 

2 

8 

86 

60 

44 

1 

86 

1 

1 

38 

4 

2 

7 

1 

3 

1 

3 

1 

6 

24 

3 

5 

27 

5 

17 



Total 
ofTicers 



50 

18 

15 

45 

1 

289 

5 

4 

2 

3 

1 

2 

7 

68 

44 

32 

1 

51 

1 

1 

26 

3 

2 

6 

I 

2 

I 

3 

1 

5 

24 

3 

5 

22 

5 

16 



Total 
civilians 



13 


3 
1 
1 
8 




6 




4 


22 


18 




5 


10 


10 




3 


101 


81 




6 


13 


8 




4 




5 


38 


30 


163 


127 


15 


10 




8 


32 


24 




2 




6 


43 


30 




4 


45 


36 


'7 


16 




8 




5 


12 


6 




5 

1 




1 

3 




5 



123 
4 



35 



City 



KANSAS— Continued 



20 



36 



Scott City 

Scranton 

Sedan 

Sedgwich 

Seneca 

Shawnee 

Silver Lake 

Smith Center 

South Haven — 
South Hutchinson 

Spring Hill 

Stafford 

Sterling 

Stockton 

Sublette 

Tonganoxie 

Topeka 

Towanda 

Udall 

Ulysses 

Wa Keeney 

Wakefield 

Wamego 

Waverly 

Weir 

Wellington 

Wellsville 

Weslwood 

Wichita 

Winficld 

Yates Center 



Adairville 

Albany 

-Mexandria — 

Anchorage 

Ashland 

Auburn 

Audubon Park 

.^ugusta 

Barbourville 
Bardslown — 
Beattyvillc — 
Beaver Dam .. 

Bellevue 

Benton 

Berea 

Bloomfield 

Bowling Green 
Brandenburg 
Brooksville — 
Brownsville 
Burkesville ... 

Burnside 

Cadiz 

Calhoun 

Calvert City . 
Campbcllsburg 
Campbcllsville 

Carlisle 

Carrolllon — 
Catlettsburg .. 
Cave City 
Central City . 

Clarkson 

Clinton 

Cloverport ... 
Cold Spring 

Columbia 

Corbin 

Covington 
Crab Orchard 
Cumberland 



Total 

police 

employees 



KENTUCKY 



Total 
ofTicers 



7 
1 
4 
2 
4 

62 
1 
3 
1 
7 
5 
4 
6 
4 
2 
4 
350 
2 
2 
5 
5 
1 

10 
1 
1 

17 

3 

8 

579 

25 
4 



I 

7 
5 

13 

55 
2 
4 
3 

14 

17 
6 
4 

10 
8 

21 
3 

92 
3 
2 
1 

4 
3 
5 
1 
5 
1 

12 
7 
9 

II 
5 
7 
1 
2 
2 
4 
7 

21 

102 

5 

9 



3 
1 

4 
2 
4 
51 
1 
3 
1 
6 
5 
4 
4 
4 
2 
4 

245 
2 
2 
5 
5 
1 
5 
I 
1 
13 
3 
7 

430 
19 
3 



1 

5 
5 
9 

49 
2 
3 
2 

10 

14 
4 
4 
9 
6 

15 
1 

73 
3 
2 
1 

4 
3 
5 
1 

4 
1 

II 
6 
9 
7 
5 
7 
I 
2 
2 
4 
7 

16 

85 
5 
7 



260 



Table 72. — Number of Full-time I.aw Enforcement Employees, Cities, October 31, 1989 — Continued 



City 


Total 

police 

employees 


Total 
olTicers 


Total 
civilians 


City 


lotal 

police 

employees 


Total 
officers 


Total 
civilians 


KENTUCKY— Continued 


18 

8 

8 

8 

1 

1 

10 

4 

40 

4 

9 

7 

26 

4 

12 

12 

3 

6 

41 

11 

21 

8 

55 

15 

13 

2 

37 

29 

6 

9 

3 

7 

4 

3 

13 

19 

4 

28 

52 

9 

4 

1 

2 

5 

49 
4 
1 

11 
5 

10 
2 

10 
5 

46 
5 
3 
1 

7 
8 
6 

16 

17 
1 

14 
1 
1 
471 
5 
1 

15 

9 

849 

3 

11 

42 


15 
4 
8 
7 
1 
1 

9 

4 

31 

4 

8 

7 

22 

4 

8 

7 

3 

6 

38 

11 

20 

7 

47 

11 

9 

2 

29 

22 
6 
5 
3 
7 
4 
3 
9 

13 
4 

25 

44 
5 
4 
1 
1 
5 

44 
4 
1 

10 
5 
7 
2 

9 
5 

37 
4 
3 
1 

6 
7 
6 

II 

12 
1 

10 
1 
1 
348 
5 
1 

15 

5 

663 

1 

7 

33 


3 
4 


KENTUCKY— Continued 


12 

5 

s 

30 

25 

1 

8 

22 

14 

4 

5 
6 

T 

2 

27 

1 

1 

52 

34 

1 

4 

8 

119 

3 

5 

73 

II 

20 

1 

5 

1 

3 

18 

11 

15 

17 

5 

8 

3 

38 

2 

46 

1 1 

5 

28 

28 

18 

4 

16 

1 

17 

5 

27 

31 

5 

13 
6 
6 
5 
5 
2 

10 
2 
3 

20 
6 
6 
3 

T 

10 
6 
4 
1 
6 


8 
5 
4 

28 

21 
I 
4 

16 
8 
4 

16 
5 
6 
■> 

2 

22 

1 

1 

45 

26 

1 

4 

5 

90 

3 

3 

68 

10 

16 

1 

4 

1 

3 

13 

7 

11 

12 

5 

8 

3 

29 

2 

37 

11 

5 

20 

23 

16 

4 

12 

1 

14 

5 

21 

25 

5 

5 

6 

6 

5 

5 

I 

3 
16 
6 
5 
3 
1 

8 
6 
■> 

1 
4 










Davton 


Martin 


I 


Dixie 


1 


Mayfield . . . 


-) 


Dn Ridge 




4 


Earlinglon 










1 






Edmonton 




5 


Elizabethtown 


9 




5 


Elkton 


M organ lown 




Elsmcre 


1 




5 


Emmence 








4 






E vans 


Muldraugh 






4 

5 






Flatwoods 


Murray 


5 


Flemmg-Neon 


New Castle 












Florence 


3 


Newport 


7 


Fort Mitchell 




g 


Fort Thomas 


1 
1 
8 
4 
4 


Nortonvilie 




Fon Wright 


Oak Grove 






Olive Hill 


3 


Franklin 




29 


Fulton 










2 




8 

7 




5 


Glasgow 


Painlsville 


I 


Grayson 


Paris 


4 


Greensburg 


4 


Park Cily 




Greenup 


Park HiMs 


1 










Guthrie 


Pewee Valley 






Pikeville 


5 




4 
6 




4 


Harrodsburg 


Prestonsburg 


4 


Hartford 




5 




3 
8 
4 


















Highland Heights 


RadclifT 


9 












1 




9 


Hodgenville 


Russell 




HopkinsviUe 


5 


Russell Springs 








g 








5 




1 
3 

1 

9 

1 

1 
1 

5 

5 

4 
123 

4 
186 
2 
4 
9 




2 




Salyersville 








Irv mgton 


Sebree 




Jackson 


Sheibyville 


3 














Jenkins 


Somerset . . , . ... 


6 


Junction City 


Soulhgate 








g 


La Grange 


Stanford ... 




Lakeside Park 


Stanton 












Tavlor Mill 




Lebanon 


Taylorsville 




Lebanon Junction 


Tompkinsville 


3 


Leitchfield 






Lewisburg 


Vanceburg 




Lewisport 


Versailles 


4 


Lexmgton 


Villa Hills 




Liberty 


Vine Grove 


1 


Livermore 


Walton 




London 


Warsaw 


1 




West Buechel 




Louisville 


West Liberty 




Lovall 


West Poinle 


2 


Ludlow 


Wheelwright 


Madisonville 


Whitesburg 


2 



261 



Table 72.— Number of Full-time Law Enforcement Employees, Cities, October 31, 1989— Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



KENTUCKY— Continued 



Wilder 

Williamsburg 
Williamstown 
Wilmore — 
Winchester .. 

Wingo 

Worthington 



Alexandria 

Ball 

Baton Rouge 

Berwick 

Bogalusa 

Bossier City 
Church Point 

Crowley 

De Quincy 

De Ridder .... 

FarmcrviUe ... 

Gonzales 

Gretna 

Harahan 

Haynesville .. 

Houma 

Jeanerette 

Jena 

Jennings 

Joneshoro 

Kaplan 

Kenncr 

Kentwood 

Kinder 

Lafayette 

Lake Charles 

Leesville 

Lockport 

Mamou 

Mandcville ... 

Minden 

Monroe 

Morgan City . 
New Iberia 

Opelousas 

Patterson — 

Plaquemine 

Ponchatoula 

Ruslon 

St. Maninville 
Shreveport . . . 
Simmesport .. 

Sulphur 

Tallulah 

Vidalia 

ViUe Platte ,. 

Vinton 

Vivian 

Welsh 

Westlake 

West Monroe 
Westwego — 
Winnfield — 
Zacharv 



Ashland ... 
Auburn 
Augusta ... 
Bailcyville 

Bangor 

Bar Harbor 

Bath 

Belfast . . . . 



LOUISIANA 



MAINE— Continued 



MAINE 



145 

7 
744 

9 

44 

129 

14 

32 

8 
19 
II 
29 
82 
19 

7 
58 
16 

5 
28 
13 
17 
153 
10 

6 

214 

119 

27 

4 
12 
31 
24 
178 
46 
72 
38 
11 
27 
12 
32 
19 
475 

5 
29 
14 
20 
24 
II 
12 

8 

14 
56 
21 
20 
25 



120 

7 
622 

9 

35 

115 

14 

31 

8 
19 
II 
29 
67 
19 

7 
44 
16 

5 

25 

13 

16 

118 

9 

6 
154 
117 
26 

4 

8 
31 
24 
125 
35 
56 
35 
11 
27 
12 
25 
19 
358 

5 
22 
14 
20 
24 
II 
12 

8 
14 
53 
21 
20 
23 



25 
122 



14 



7 
117 

7 



Berwick 

Bethel 

Biddeford 

Boothbay Harbor 

Brewer 

Bridgton 

Brunswick 

Bucksport 

Buxton 

Calais 

Camden 

Cape Elizabeth ... 

Caribou 

Carrabassetl Valley 

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 

Limes'one 

Lincoln 

Lisbon 

Livermore Falls 

Lubec 

Machias 

Madawaska 

Madison 

Mechanic Falls 

Medway 

Mexico 

Millinocket 

Milo 

Monmouth 

Mount Desert 

Newport 

North Berwick 

Norway 

Oakland 

Ogunquit 

Old Orchard Beach 

Old Town 

Orono 

Oxford 

Paris 

Pittslleld 

Portland 

Presque Isle 

Princeton 

Richmond 

Rockl:ind 

Rockport 

Rumford 

Sabatius 



11 

3 

50 

13 

22 

10 

39 

8 

2 

II 

14 

15 

15 

2 

12 

3 

5 

3 

4 

5 

3 

7 

14 

7 

17 

9 

5 

8 

18 

4 

13 

21 

5 

12 

18 

11 

21 

15 

24 

8 

87 

4 

8 

17 

10 

2 

4 

7 

5 

2 

2 

4 

17 

3 

3 

8 

4 

11 

5 

7 

12 

15 

17 

17 

2 

6 

9 

209 

24 

1 

4 
25 

4 
15 

5 



10 
3 

40 
6 

17 
6 

31 
6 
2 
7 
9 

11 

14 
1 

9 
3 
5 
3 
4 
5 
3 
6 

10 
6 

12 
8 
5 
4 

12 
4 
9 

15 
5 
7 

13 
7 

15 

10 

18 
7 

71 
4 
7 

12 
5 
2 
4 
6 
5 
2 
2 
4 

13 
3 
3 
5 
4 

10 
5 
6 
7 

12 

13 

12 
2 

5 

5 

154 

19 



3 

14 
5 



262 



Table 72. — Number of Full-lime Law Knforcemenl Employees, Cities, October 31, 1989 — Continued 



Cily 



Tolal 

police 

employees 



lolal 
otVtccrs 



Total 
civilians 



Cily 



Total 

police 

employees 



Tolal 
officers 



MAlNt— Continued 



Saco 

SanTord 

Scarborough 

Skowhegan 

South Berwick ... 
South Portland 
Southwest Harbor 

Standish 

Thomaston 

Topsham 

Van Buren 

Waldoboro 

Washburn 

Waterville 

Wells 

Westbrook 

Wilton 

Wmdham 

Wmslow 

Winlhrop 

Wiscasset 

Yarmouth 

York 



MARYLAND 



Aberdeen 

Annapolis 

Baltimore 

Baltimore City Sheriff 

Bel Air 

Berlin 

Ber»->n Heights 

Bladensburg 

Brunswick 

Cambridge 

Capitol Heights 

Cemreville 

Chestertown 

Cheverly 

Cottage City 

Crisfield 

Cumberland 

Delmar 

Denton 

District Heights 

Easton 

Edmonston 

Elkton 

Federalsburg 

Forest Heights 

Frederick 

Frostburg 

Fruitland 

Glenarden 

Goldsboro 

Greenbelt 

Greensboro 

Hagerstown 

Hampstead 

Hancock 

Havre de Grace 

Hurlock 

Hyattsville 

Landover Hills 

La Plata 

Laurel 

Lonaconing 

Luke 

Manchester 

Momingside 

Mount Rainier 

New Windsor 

North Beach 

North East 



MARYLAND— Continued 



42 

145 

1.455 

129 

38 

10 

5 

20 

12 

43 



10 

13 

3 

11 

55 
7 
8 
7 

42 
4 

27 
7 
5 

89 

17 
8 

12 
1 

54 

2 

105 

2 

5 

31 
6 

31 
3 
4 

54 
2 

2 
3 
5 

15 
I 

5 
5 



34 

110 

2.915 

116 

29 
7 
3 

15 

10 

31 
7 
8 
9 

II 
3 
9 

47 
5 
8 
6 

29 
4 

21 
7 
5 

76 

13 
7 

11 
1 

42 
2 

77 
2 
4 

23 
6 

22 
3 
4 

38 



8 

35 

540 

13 

9 



12 



16 



Oakland 

Ocean City 

Ocean Pines . . . 

Oxford 

Pocomoke City 
Port Deposit 

Preston 

Princess Anne 

Ridgely 

Rising Sun 

Rivcrdale 

Rock Hall 

Saint Michaels 

Salisbury 

Smithsburg 

Snow Hill 

Sparrows Point 

Sykesville 

Takoma Park .. 

Taneytown 

Thurmont 

University Park 
Lfppcr Marlboro 
Westernport 
Westminster ... 



MASSACHUSETTS 



Acushnet ... 

Adams 

Amesbury .. 

Amherst 

Arlington 

Ashby 

Athol 

Attleboro .. 

Ayer 

Belchertown 
Bellingham . 

Berlin 

Billerica 

Blackstone . 

Bourne 

Boxboro 
Brewster ... 
Brockton . . . 
Brookline .. 
Cambridge 

Carver 

Dalton 

Dartmouth 

Dighton 

Douglas 

Dover 

East ham 

Easthampton 

Framingham 

Franklin 

Freetown . . . 

Georgetown 

Gloucester . 

Granby 

Hampden .. 

Hanson 

Harvard 

Harwich 

Haverhill .. 

Hingham 

Holden 

Hopedale . . 
Hopkinton . 

Hudson 

Ipswich 

Lakeville 

Lancaster . . . 



17 
23 
34 
37 
80 
3 
26 
74 
18 
15 
29 
5 
74 
13 
41 
6 
21 
207 
160 
299 
19 
12 
57 
11 
17 
15 
21 
24 
129 
38 
19 
13 
67 
12 
13 
16 
11 
32 
99 
50 
20 
II 
19 
38 
24 
19 
9 



3 
74 
11 

3 
12 

2 

3 

7 
2 
3 

10 
3 
6 

61 
1 
6 

14 
5 

34 
5 
5 
7 
1 
5 



22 
29 
31 
70 

3 
21 
69 
14 
11 
25 

4 
60 
13 
30 

6 

18 

185 

149 

274 

15 

11 

50 

11 

7 
15 
15 
23 
115 
32 
14 

9 
62 

8 

9 
14 

7 
30 
91 
45 
18 
10 
14 
33 
23 
15 



263 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1989 — Continued 



Citv 



Total 

police 

employees 



Tolal 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



MASSACHUSETTS— Continued 



Leicester 

Lincoln 

Littleton 

Manchester 

Marblehead 

Marion 

Mashpee 

Mattapoisett 

Medfield 

Medway 

Methuen 

Middleboro 

Milton 

Montague 

Nahant 

Nantucket 

Needham 

Norfolk 

Northboro 

North Reading 

Norton 

Orange 

Orleans 

Oxford 

Pembroke 

Pepperell 

Provincetown 

Reading 

Rehoboth 

Rockport 

Rowley 

Sandwich 

Saugus 

Scituate 

Seekonk 

Sherbom 

Shirley 

Somerset 

Southboro 

South Hadley .... 

Spencer 

Sturbridge 

Sunderland 

Sutton 

Swampscott 

Swansea 

Taunton 

Templeton 

Tisbury 

Uxbridge 

Wakefield 

Ware 

Webster 

Wenham 

West Bridgewater 

Westford 

Weslwood 

Weymouth 

Wilbraham 

Williamstown 

Woburn 

Worcester 

Yarmouth 



MICHIGAN 



Adrian 

Albee Township 

Albion 

Algonac 

Allegan 

Allen Park 

Alma 

Almont 

Alpena 



18 
16 
14 
16 
45 
14 
30 
16 
23 
21 
80 
52 
80 
18 
11 
31 
58 
16 
26 
26 
39 
16 
27 
23 
29 
15 
21 
41 
25 
17 
13 
30 
51 
39 
40 
14 
11 
36 
15 
26 
15 
15 
4 
12 
34 
33 

106 
9 
14 
19 
52 
18 
35 
10 
17 
34 
30 

120 
25 
12 
83 

482 
57 



14 


2 


43 


2 


11 


3 


23 


7 


16 




17 


6 


16 


5 


66 


14 


40 


12 


55 


25 


16 


2 


10 


I 


24 


7 


54 


4 


14 


2 


20 


6 


24 


2 


36 


3 


12 


4 


20 


7 


17 


6 


28 


1 


14 


1 


14 


7 


39 


2 


20 


5 


17 




8 


5 


28 


2 


49 


2 


31 


8 


35 


5 


14 




10 


1 


30 


6 


12 


3 


25 


1 


12 


3 


11 


4 


3 


1 


11 


1 


34 




31 


2 


101 


5 


8 


1 


13 


1 


16 


3 


50 


2 


17 


1 


34 


1 


9 


1 


16 


1 


30 


4 


28 


T 


108 


12 


24 


1 


9 


3 


76 


7 


394 


88 


49 


8 


31 
1 


5 


32 


5 


6 


1 


g 


1 


51 


8 


14 


3 


4 





16 



MICHIGAN— Continued 



Ann Arbor 

Arbela Township 

Armada 

Atlas Township 

Auburn 

Auburn Hills 

Augusta 

Bad Axe 

Bangor 

Baraga 

Barry Township 

Bath Township 

Battle Creek 

Bay City 

Bedford Township 

Belding 

Bellaire 

Belleville 

Benton Harbor 

Benton Township 

Berkley 

Berrien Springs-Oronoko 

Beverly Hills 

Big Rapids 

Birch Run 

Birmingham 

Blackman Township 

Blissfield 

Bloomfield Hills 

Bloomfield Township 

Bloomingdale 

Boyne City 

Breckenridge 

Bridgeport Township 

Bridgman 

Brighton 

Bronson 

Brown City 

Brownstown Township 

Buchanan 

Buena Vista Charter Township 

Burr Oak 

Burton 

Cadillac 

Calumet 

Cambridge Township 

Canton Township 

Capac 

Carleton 

Caro 

Carrolllon Township 

Carson City 

Carsonville 

Caseville 

Caseville Township 

Cass City 

Cassopolis 

Cedar Springs 

Center Line 

Centreville 

Charleston Township 

Charlevoix 

Charlotte 

Cheboygan 

Chelsea 

Chesaning 

Chesaning Township 

Chesterfield Township 

Chikaming Township 

Chocolay Township 

Clare 

Clawson 

Clay Township 

Clinton 

Clinton Township 



193 
1 

4 

2 

3 

48 

1 

7 

4 

2 

2 

7 

155 

79 

10 

10 

1 

9 

24 

27 

35 

9 

30 

18 

1 

56 

20 

5 

27 

86 

1 

10 

3 

7 

4 

12 

7 

1 

27 

10 

18 

1 

37 

19 

2 

1 

59 

3 

3 

8 

5 

2 

1 

2 

1 

3 

6 

5 

31 

2 

1 

7 

19 

11 

10 

5 

5 

14 
I 

3 
8 
24 
16 
3 
97 



163 
1 



4 




7 




2 


1 


38 
1 


10 


6 


1 


4 




7 




7 




6 




110 


45 


72 




9 




9 




8 




18 




21 




32 




8 




26 




15 




38 


18 


19 




4 




23 




69 
1 


17 


6 




3 




6 




4 




11 




5 
1 




22 




9 




16 




32 




15 




t 




1 




45 


14 


2 




1 




7 


1 


4 


1 


7 




1 




7 




1 




3 




5 


1 


4 


1 


25 


6 


7 








6 


1 


19 




1 1 




7 


3 


5 




5 




12 
1 


2 


^ 




6 


2 


22 


2 


12 


4 


1 





264 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1989 — Continued 



Cily 



Tolal 

police 

employees 



Tolal 
officers 



Tolal 
civilians 



City 



Tolal 

police 

employees 



Tolal 
officers 



MICHIGAN— Continued 



Clio-Vienna 

Coldwater 

Coleman 

Coloma 

Coloma Township 

Columbia Township ... 

Concord 

Consianline 

Coopersvillc 

Corunna 

Covert Township 

Croswell 

Crystal Falls 

Davison 

Davison Township 

Dearborn 

Dearborn Heights 

Decatur 

Deckerville 

Denmark Township ... 

De Tour Village 

Detroit 

De Witt 

De Witt Township 

Douglas 

Dowagiac 

Dr>den Township 

Durand 

East Detroit 

East Grand Rapids 

East Jordan 

East Lansing 

East Tawas 

Eaton Rapids 

Eau Claire 

Ecorse 

Elk Rapids 

Elkton 

Elsie 

Emmett Township 

Erie Township 

Escanaba 

Essexviile 

Evart 

Fairhaven Township 

Farminglon 

Farmington Hills 

Fenton 

Femdale 

Flat Rock 

Flint 

Flint Township 

Flushing 

Flushing Township — 

Forsyth Township 

Frankenmuth 

Frankfort 

Franklin 

Eraser 

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 



MICHIGAN— Continued 



10 
18 

2 

4 
(1 

4 

4 

4 

5 

3 

5 

5 

9 

10 

225 

119 

5 

1 

1 

1 

5,391 

6 

12 

3 

17 

2 

5 

56 

32 

4 

87 

5 

9 

1 

36 

3 

2 

1 

9 

2 

44 

12 

3 

1 

30 

149 

16 

59 

20 

365 

29 

11 

6 

8 

5 

4 

10 

47 

6 

2 

1 

52 

7 

13 

3 

14 

13 

3 

1 

2 

20 
33 
31 
14 



4 
4 
5 
3 
5 
5 
7 
8 
197 

89 
4 
1 
1 
1 
4,756 
5 

10 
3 

13 
2 
5 

49 

29 
3 

55 
4 
8 
I 

29 
3 
2 
1 



37 

9 

3 

1 

23 

95 

12 

53 

19 

315 

26 

10 

5 

7 

5 

4 

9 

40 

5 

1 

1 

39 

6 

12 

3 

13 

13 

3 

1 

2 

15 
26 
22 
14 



635 



Grand Rapids 

Grandville 

Grayling 

Green Oak Township 

Greenville 

Grosse He Township 

Grosse Pointe 

Grosse Pointe Farms 
Grosse Pointe Park 
Grosse Pointe Shores 
Grosse Pointe Woods 
Hamburg Township 
Hampton Township 

Hamtramck 

Hancock 

Harbor Beach 

Harbor Springs 

Harper Woods 

Hart 

Hartford 

Hastings 

Hazel Park 

Henrietta Township 

Hesperia 

Highland Park 

Hillsdale 

Holland 

Holly 

Homer 

Houghton 

Howard City 

Howard Township 

Howell 

Hudson 

Hudsonville 

Huntington Woods .. 

Huron Township 

Imlay City 

Ionia 

Iron Mountain 

Iron River 

Ironwood 

Ishpeming 

Ithaca 

Jackson 

Jonesville 

Kalamazoo 

Kalamazoo Township 

Kalkaska 

Keego Harbor 

Kentwood 

Kingsford 

Laingsburg 

Lake Angelus 

Lake Linden 

Lake Odessa 

Lake Orion 

Lakeview 

L'Anse 

Lansing 

Lansing Township . . . 

Lapeer 

Lapeer Township — 

Lathrup Village 

Laurium 

Lawrence 

Lawton 

Lennon 

Leoni Township 

Leslie 

Lexington 

Lincoln Park 

Linden 

Litchfield 

Livonia 



336 


258 


24 


19 


6 


5 


8 


7 


22 


17 


22 


17 


30 


25 


35 


30 


50 


46 


20 


17 


48 


43 


II 


10 


II 


10 


52 


52 


6 


6 


4 


4 


6 


5 


41 


34 


2 


2 


6 


6 


17 


12 


45 


39 


2 


2 


140 


108 


20 


16 


62 


51 


12 


8 



15 


14 


3 


3 


6 


5 


18 


14 


13 


7 


8 


7 


19 


15 


12 


12 


5 


5 


16 


16 


13 


12 


5 


4 


94 


59 


4 


4 


290 


239 


37 


27 


5 


4 


6 


5 


42 


36 


16 


16 


2 


2 


3 




4 




7 




2 




4 




340 


251 


15 


14 


17 


15 


4 




12 




4 




3 




4 




4 




3 




3 




71 


63 


3 




4 




187 


147 



265 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1989 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



MICHIGAN— Continued 



Lowell 

Ludingion 

Luna Pier 

Lyon Township 

Mackinac Island 

Mackinaw City 

Madison Heights 

Mancelona 

Manchester Township 

Manistee 

Manistique 

Manton 

Maple Grove Township 

Maple Rapids 

Marcellus 

Marenisco Township 

Marine City 

Marion 

Marlette 

Marquette 

Marshall 

Martin Township 

Marysville 

Mason 

Mattawan 

May vi lie 

Melvindale 

Memphis 

Menominee 

Metro Beach 

Michiana 

Middleville 

Midland 

Midland Township 

Milan 

Milford 

Millington 

Monroe 

Montague 

Montrose 

Montrose Township 

Morenci 

Mount Clemens 

Mount Morris 

Mount Morris Township 

Mount Pleasant 

Mundy Township 

Munising 

Muskegon 

Muskegon Heights 

Muskegon Township 

Napoleon Township 

Nashville 

Negaunee 

Newaygo 

New Baltimore 

Newberry 

New Buffalo 

New Haven 

New Lothrop 

Niles 

Niles Township 

Northfield Township 

North Muskegon 

Northville 

Northville Township 

Norton Shores 

Norvell Township 

Norway 

Novi 

Oak Park 

Olivet 

Onaway 

Ontonagon 

Ontwa Township-Edwardsburgh 



7 

14 

4 

2 

5 

5 

71 

3 

1 

15 

II 

I 

I 

I 

3 

I 

10 

1 

3 

39 

18 

2 

15 

9 

2 

I 

25 

2 

22 

5 

2 

3 

48 

3 

16 

17 

3 

52 

7 

5 

4 

3 

35 

7 

23 

25 

10 

5 

72 

25 

II 

3 

2 

12 

1 

g 

4 

5 

7 

2 

27 

8 

3 

14 

21 

22 

23 

I 

5 

68 

77 

3 

4 

2 

6 



6 

13 

4 

2 

4 

5 

58 

3 

1 

14 

9 

I 

1 

I 

3 

1 

8 

1 

3 

34 

13 

2 

13 
9 
2 
I 

23 
2 

16 

5 

2 

3 

46 

3 

12 

12 

3 

47 

7 

4 

4 

3 

32 

6 

21 

22 

8 

5 

63 

22 

10 

3 

2 

11 

1 

7 

4 

5 

6 

2 

20 

8 

3 

13 

18 

17 

22 

1 

5 

47 

71 

3 

4 

2 

6 



MICHIGAN— Continued 



Orchard Lake 

Oscoda-Ausable Township 

Otisville 

Otsego 

Otter Lake 

Ovid 

Owosso 

Oxford 

Parchment 

Parma 

Paw Paw 

Pennfield Township 

Pentwater 

Perry 

Petoskey 

Pigeon 

Pinckney 

Pinconning 

Pittsfield Township 

Plainwell 

Pleasant Ridge 

Plymouth 

Plymouth Township 

Pontiac 

Portage 

Port Austin 

Port Huron 

Portland 

Port Sanilac 

Potterville 

Prairieville Township 

Quincy 

Reading 

Redford Township 

Reed City 

Republic Township 

Richfield Township (Genesee County) 

Richfield Township (Roscommon County) 

Richland 

Richland Township 

Richmond 

River Rouge 

Riverview 

Rochester 

Rockford 

Rockwood 

Rogers City 

Romeo 

Romulus 

Roosevelt Park 

Rose City 

Roseville 

Ross Township 

Royal Oak 

Royal Oak Township 

Saginaw 

Saginaw Township 

St. Charles 

St, Clair 

St. Clair Shores 

St. Ignace 

St. Johns 

St. Joseph 

St. Joseph Township 

St. Louis 

Saline 

Sand Lake 

Sandusky 

Saugatuck 

Sault Stc. Marie 

Schoolcraft 

Scott V ille 

Sebewaing 

Shelby 

Shelby Township 



12 
3 
7 
I 
2 

21 

15 
4 
2 
9 
7 
3 
5 

15 
I 

4 
3 

26 
8 

10 

23 

25 
212 

65 
I 

69 
5 
I 
3 
1 

7 
1 

80 
6 
1 

6 
3 
4 
3 
8 

35 

30 

20 
8 
9 
6 
9 

68 
7 
I 

94 

T 

100 

42 
132 

43 
3 
9 

96 
5 

16 

25 
9 
9 

17 
2 
4 
3 

27 
2 
3 
4 
3 

44 



7 
9 
3 
7 
1 
2 

19 
12 
4 
2 
7 
6 
3 
4 
12 
I 

3 

3 

19 

7 

8 

18 

16 

165 

53 

I 

51 

5 

1 

3 

I 

4 

I 

69 

6 

1 

5 

3 

4 

3 

5 

30 

27 

14 



6 
6 

54 
6 
1 

82 
2 

84 

18 

118 

40 

3 



5 

12 
20 

8 
6 
12 
2 
4 
•> 

24 
2 
3 
4 
3 

35 



266 



Table 72.— Number of Full-time Law Enforcement Employees, Cities, October 31, 1989— Continued 



Cily 



MICHIGAN— Continued 



Somerset Township 

Soulhtield 

Souihgale 

South Haven 

South Lyon 

Sparta 

Spaulding Township 

Spring Arbor Township ... 

Springfield 

Spring Lake 

Springpon Township 

Stanton 

Sterhng Heights 

Sturgis 

Summit Township 

Sumpter Township 

Sunfield 

Swartz Creek 

Sylvan Lake 

Taylor 

Tecumseh 

Thomas Township 

Three Oaks 

Three Rivers 

Tittabawassee Township .. 

Traverse Cily 

Trenton 

Troy 

Tuscarora Township 

Twin City 

Ubiy 

Unadilla Township 

Union City 

Utica 

Van Buren Township 

Vassar 

Vicksburg 

Walker 

Walled Lake 

Warren 

Walerford Township 

Waterloo Township 

Walervliet 

Wayland 

Wayne 

Webberville 

West Bloomfield Township 

West Branch 

Westland 

White Cloud 

Whitehall 

White Lake Township .... 

While Pigeon 

Williamslon 

Wixom 

Wolverine Lake 

Woodhaven 

Woodstock Township 

Wyandotte 

Wyoming 

Yale 

Ypsilanti 

Zeetand 

Zilwaukee 



MINNESOTA 



Total 

police 

employees 



Alberta Lea 
Alexandria .. 

Anoka 

Apple Valley 

Austin 

Babbitt 

Baxter 

Baypon 



I 

210 

5.1 

W 

8 

10 



10 
9 

1 
1 

203 

18 

4 

4 

1 

8 
5 

127 
14 



18 

2 

30 

56 
168 
4 
4 
1 
1 
4 

16 
9 
5 
5 

36 

17 
247 

99 
3 
3 
4 

53 
3 

63 

3 

106 

2 

6 
25 

3 

4 
16 

9 
26 

I 
60 
97 

3 
58 

7 

2 



Total 
ofTicers 



Total 
civilians 



162 


48 


43 


10 


15 


4 


7 


1 


7 


3 


t 




■y 




9 


1 


9 
1 




1 
150 


53 


15 


3 


4 




■1 




1 




7 


1 


5 




103 


24 


13 


1 


-> 




3 




13 


5 


T 




29 


1 


49 


7 


123 


45 


4 




4 
1 




1 
3 


1 


11 


5 


8 


1 


s 




4 


1 


28 


8 


13 


4 


220 


27 


76 


23 


3 




3 




4 




38 


15 


3 




48 


15 


3 




88 


18 


-I 




6 




17 


8 


3 




4 




13 


3 


7 


2 


24 
1 


2 


49 


11 


71 


26 


3 




46 


12 


6 


1 


2 




28 


7 


14 


5 


27 


8 


31 


14 


32 


17 


4 




3 




5 





Cii\ 



MINNESOTA— Continued 



Belle Plaine 

Bemidji 

Benson 

Big Lake 

Blame 

Bloomington 

Blue Earth 

Brainerd 

Brcckenridge 

Brooklyn Center 

Brooklyn Park 

Buflfalo 

Burnsville 

Caledonia 

Cambridge 

Cannon Falls 

Champlin 

Chanhassen 

Chaska 

Chisholm 

Circle Pines-Lexington 

Cloquet 

Cold Springs 

Columbia Heights 

Coon Rapids 

Corcoran 

Cottage Grove 

Crookston 

Crosby 

Crystal 

Dawson 

Dayton 

Deephaven 

Detroit Lakes 

Dilworth 

Duluth 

Eagan 

East Grand Forks 

Eden Prairie 

Edina 

Elk River 

Ely 

Eveleth 

Fairmont 

Faribault 

Farmington 

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 



Total 

police 

L'mployces 



5 

24 
5 
5 

38 

121 

5 

22 

ir 

50 

64 

9 

63 

3 

8 

6 

17 

12 

13 

13 

9 

16 

3 

28 

55 

4 

39 

14 

8 

40 

3 

1 

8 

13 

3 

146 

63 

21 

49 

50 

17 

9 

9 

15 

32 

8 

22 

10 

43 

6 

7 

3 

40 

4 

16 

5 

20 

7 

29 

33 

5 

20 

14 

30 

6 

2 

4 
3 
5 
8 

31 
6 

10 
9 

13 



Total 
officers 



4 
18 

5 

4 
30 
96 

5 
19 

7 
36 
53 

8 
51 

3 

7 

5 
16 

1 

10 
12 

8 
15 

3 
20 
48 



12 

5 

30 

3 

1 

7 

11 

3 

121 

45 

19 

39 

43 

13 

8 

9 

13 

22 

7 

18 

9 

33 

6 

6 

3 

29 

4 

12 

5 

18 

6 

28 

23 

5 

15 

14 

23 

6 

2 

4 

3 

4 

7 

23 

5 

9 



267 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1989 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



MINNESOTA— Continued 

Long Prairie 

Luverne 

Madison 

Mankato 

Maple Grove 

Maplewood 

Marshall 

Medina 

Mel rose 

Mendota Heights 

Minneapolis 

Minnetonka 

Montevideo 

Moorhead 

Mora 

Morris 

Mound 

Mounds View 

New Brighton 

New Hope 

Newport 

New Prague 

New Dim 

Northfield 

North Mankato 

North St. Paul 

Oakdale 

Oak Park Heights 

Olivia 

Orono 

Orlonville 

Osseo 

Owatonna 

Park Rapids 

Pipestone 

Plainview 

Plymouth 

Princeton 

Prior Lake 

Proctor 

Ramsey 

Red Wing 

Redwood Falls 

Richfield 

Robbinsdale 

Rochester 

Rockford 

Roseau 

Rosemount 

Roseville 

St. Anthony 

St. Bonifacius-Minnetrisia 

St. Cloud 

St. James 

St. Joseph 

St. Louis Park 

St. Paul 

St. Paul Park 

St. Peter 

Sartell 

Sauk Centre 

Sauk Rapids 

Savage 

Shakopee 

Silver Bay 

Slayton 

Sleepy Eye 

South Lake Minnetonka 

South St. Paul 

Springfield 

Staples 

Stillwater 

Thief River Falls 

Tracy 

Two Harbors 



5 

7 

3 

39 

33 

52 

21 

5 

4 

16 

872 

54 

13 

56 

6 

12 

13 

15 

22 

31 

6 

6 

22 

21 

9 

14 

19 

7 

4 

16 

6 

3 

24 

5 

5 

3 

49 

6 

14 

6 

8 

24 

7 

54 

24 

118 

4 

4 

11 

45 

13 

8 

66 

7 

4 

60 

704 

6 

14 

5 

8 

9 

13 

20 

4 

5 

5 

15 

29 

4 

5 

18 
15 
4 
9 



5 

7 

3 

33 

28 

39 

17 

5 

4 

14 

740 

42 

8 

39 

5 

9 

12 

14 

20 

26 

6 

5 

19 
16 
8 
12 
17 
6 
4 
15 
5 
3 
22 
5 
5 
3 
37 
5 

13 

5 

7 

23 

6 

45 

16 

97 

4 

4 

10 

39 

12 

7 

57 

6 

4 

48 

537 

6 

10 

5 

5 

8 

II 

17 

4 

5 

5 

14 

25 

4 

5 

15 
14 
4 



132 

i: 

5 

17 
I 
3 
1 
1 
2 
5 



12 
167 



MINNESOTA— Continued 



Virginia 

Wabasha 

Wadena 

Waite Park 

Waseca 

Wayzata 

Wells 

West Hennepin 
West St. Paul 
White Bear Lake 

Willmar 

Windom 

Winona 

Woodbury 

Worthington 



Aberdeen 

Ackerman 

Amory 

Batesville 

Bay St. Louis 

Belzoni 

Booneville 

Bruce 

Calhoun City 

Carthage 

Clarksdale 

Clinton 

Collins 

Columbus 

Como 

Corinth 

De Kalb 

Drew 

Ellisville 

Eupora 

Flowood 

Forest 

Fulton 

Gloster 

Greenville 
Greenwood 
Hattiesburg 
Hazelhurst . . . 

Hernando 

Holly Springs 

Houston 

Indianola 

Inverness 

Jackson 

Kosciusko 

Laurel 

Leakesville ... 
Long Beach 

Lucedale 

Macon 

Madison 

McComb 

Mendcnhall 

Meridian 

Morton 

Moss Point ,. 

Natchez 

Newton 

Ocean Springs 

Oxford 

Pascagoula . . . 
Pass Christian 

Pearl 

Pelahalchie .. 

Petal 

Philadelphia . 
Picayune 



MISSISSIPPI 



17 


12 


5 


5 


19 


15 


18 


14 


18 


14 


11 


6 


20 


16 


9 


8 


6 


6 


11 


7 


36 


28 


33 


21 


8 


6 


64 


55 


5 


5 


28 


23 


3 


3 


10 


5 


10 


7 


9 


6 


21 


15 


12 


9 


7 


7 


7 


5 


110 


84 


55 


41 


101 


69 


12 


9 


II 


8 


14 


13 


12 


12 


27 


20 


4 


4 


485 


362 


24 


19 


74 


53 


3 


3 


32 


23 


14 


9 


7 


7 


12 


8 


40 


27 


11 


7 


120 


92 


12 


12 


36 


32 


65 


48 


15 


7 


35 


25 


41 


36 


83 


56 


18 


12 


35 


28 


4 


4 


16 


11 


21 


15 


32 


21 



268 



Table 72. — Number of Full-limc Law Enforcement Employees, Cities, October 31, 1989 — Continued 



City 



MISSISSIPPI— Conlinucd 



Pur\is 

Ra>mond .., 
RiJgcland ... 

Riplcy 

Rolling Fork 
Rulcville .... 
SandcrsMJIe 
Senatobia ... 
Slarkville ... 
Slonewall 

Tupelo 

Verona 

Vicksburg ... 
Water Valley 
Wa\ eland . . . 
Wa\ nesboro 

Wiggins 

Winona 

Yazoo City 



MISSOURI 



Arnold 

Aurora 

Ballwin 

Bellerontaine Neighbors 

Bel-Nor 

Bel-Ridge 

Belton 

Berkeley 

Blue Springs 

Bolivar 

Bonne Terre 

Boonville 

Branson 

Breckenridge Hills 

Brentwood 

Bridgeton 

Brookfield 

Butler 

CaUerton Park 

Cameron 

Canton 

Cape Girardeau 

Carrolllon 

Carthage 

Centralia 

ChafTee 

Charlack 

Chesterfield 

Claycoma 

Clayton 

Clinton 

Columbia 

Cool Valley 

Country Club Hills 

Crestwood 

Creve Coeur 

Crystal City 

DeSolo 

Des Peres 

Edmundson 

Ellisville 

Eureka 

Excelsior Springs 

Farmington 

Fayette 

Fenion 

Ferguson 

Festus 

Rat River 

Florissant 

Frontenac 

Fulton 

Gladstone 



Total 

police 

;mployccs 



46 
12 
47 
24 

8 
13 
32 
48 
65 
13 

6 
19 
25 
13 
26 
67 
16 
11 

5 
14 

6 
74 

7 
24 
10 

5 
11 
51 

7 

66 

19 

121 

9 

8 
35 
45 
16 
19 
38 

8 
21 
13 
27 
21 

6 
26 
58 
25 
14 



Total 
officers 



34 

9 

36 

24 

8 

12 

24 

39 

45 

7 

6 

14 

19 

12 

20 

56 

10 

7 

5 

10 
2 

55 

7 

22 

5 

5 

g 

46 

7 

55 

15 

93 

8 

7 

28 

36 

11 

12 

32 

7 

20 

12 

18 

13 

5 

19 
51 
17 
8 
71 
17 
21 
47 



Total 
civilians 



14 



City 



MIS,SOl'RI— Continued 



Glendale 

Grain Valley 

Grandview 

Hanley Hills 

Hannibal 

Harrisonville 

Hazelwood 

Hillsdale 

Independence 

Ironton 

Jackson 

Jeflerson City 

Jennings 

Joplin 

Kansas City 

Kearney 

Kennctt 

Kirksville 

Kirkwood 

Ladue 

Lake Lotawana . . . 
Lake St. Louis 

Lamar 

Lebanon 

Lees Summit 

Lexington 

Macon 

Manchester 

Maplewood 

Marceline 

Marshall 

Maryland Heights 

Maryville 

Mexico 

Moberly 

Moline Acres 

Nevada 

Normandy 

North Kansas City 

Northwoods 

Oakview 



Odessa 

OTallon 

Olivette 

Overland 

Pacific 

Parkville 

Pevely 

Plaltsburg 

Pleasant Hill 

Poplar Bluff 

Potosi 

Raytown 

Republic 

Rich Hill 

Richmond 

Richmond Heights 

Riverside 

Riverview 

Rolla 

St. Ann 

St. Charles 

Sle. Genevieve 

St. George 

John 

Joseph 

Louis 

Peters 

St. Robert 

Savannah 

Sedalia 

Shrewsbury 

Sikeston 

Slater 

Smithville 



Total 

police 

employees 



Total 
officers 



13 


10 


8 


7 


53 


42 


6 


6 


44 


29 


22 


14 


48 


38 


10 


9 


209 


154 


4 


4 


16 


16 


77 


61 


53 


41 


77 


61 


1.704 


1,132 


5 


5 


20 


18 


28 


22 


64 


50 


34 


29 


3 


2 


17 


12 


8 


7 


22 


17 


79 


59 


7 


7 


1! 


9 


20 


19 


28 


23 


5 


5 


29 


22 


73 


59 


22 


15 


33 


28 


38 


33 


7 


7 


24 


16 


19 


17 


37 


30 


19 


17 


6 


6 


38 


36 


26 


21 


61 


46 


17 


11 


7 


6 


16 


U 


3 


3 


11 


6 


45 


31 


13 


8 


70 


55 


12 


12 


8 


6 


15 


10 


31 


28 


17 


13 


8 


8 


34 


23 


42 


38 


100 


75 


7 


6 


4 


4 


18 


16 


120 


102 


,189 


1,561 


49 


40 


13 


13 


5 


5 


47 


40 


19 


15 


52 


46 


8 


5 


8 


7 



269 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1989 — Continued 



Cily 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



MISSOURI— Continued 



NEBRASKA— Continued 



Springfield 

Sugar Creek 

Sullivan 

Sunset Hills 

Town And Country 

Trenton 

Union 

University City 

Valley Park 

Vandalia 

Vinita Park 

Warrensburg 

Warson Woods 

Washington 

Webb City 

Webster Groves ... 

Wellston 

Wentzville 

Weston 

Windsor 

Woodson Terrace 



MONTANA 



Baker 

Billings 

Boulder 

Columbia Falls 

Conrad 

East Helena 

Eureka 

Fort Benton 

Glasgow 

Glendive 

Great Falls 

Hamilton 

Havre 

Helena 

Kalispell 

Laurel 

Lewistown 

Livingston 

Malta 

Miles Cily-Custer County 

Missoula 

Plentywood 

Poison 

Red Lodge 

Ronan City 

St, Ignatius 

Scobey 

Sidney 

Thompson Falls 

West Yellowstone 

Whitefish 

Whitehall 



NEBRASKA 



Alliance 

Ashland 

Aurora 

Beatrice 

Bellevue 

Blair 

Broken Bow 
Central City 
Chadron ... 
Columbus 

Cozad 

Crete 

Dakota City 
David City 

Elkhorn 

Falls Cily .. 



240 
13 
18 
23 
29 
16 
13 
96 
11 

8 
11 
24 

7 
24 
16 
51 
19 
23 

4 

2 
14 



4 

119 

2 

12 

5 

4 

2 

3 

9 

18 

86 

8 

17 

37 

34 

14 

13 

16 

6 

16 

70 

4 

7 

6 

4 

1 

2 

10 

2 

4 

13 

3 



187 
11 
12 
17 
27 
II 
II 
76 
10 

5 

10 
22 

6 
20 
15 
41 
16 
17 

4 

2 
13 



4 

102 

2 

7 

5 

4 

2 

3 

6 

13 

55 

7 

15 

34 

23 

8 

10 

10 

2 

13 

57 

4 

7 

6 

4 

1 

2 

9 



17 



Fremont 

Gering 

Gordon 

Gothenburg 

Grand Island ... 

Hastings 

Holdrege 

Kearney 

Kimball 

La Vista 

Lexington 

Lincoln 

Madison 

McCook 

Milford 

Minden 

Mitchell 

Nebraska Cily .. 

Norfolk 

North Platte .... 

Ogallala 

Omaha 

Ord 

Papillion 

Plattsmouth 

Ralston 

Schuyler 

Scottsbluff 

Seward 

Sidney 

South Sioux City 

Stanton 

Syracuse 

Tecumseh 

Tekamah 

Valentine 

Valley 

Wahoo 

Wayne 

West Point 

Wilber 

York 



NEVADA 



Boulder City 

Carl in 

Fallon 

Henderson 

Las Vegas Metropolitan Police Jurisdiction 

Lovelock 

Reno 

Sparks 

Wells 

Winnemucca 

Ycrington 



NEW HAMPSHIRE 



Allenstown 

Alton 

Amherst 

Ashland 

Atkinson ... 

Auburn 

Barringlon 
Bedford .... 
Belmont 

Berlin 

Boscawen . , 

Bow 

Bristol 

Charlcstown 

Clarcmont 

Colebrook 



37 

14 

7 

9 

54 

38 

13 

36 

7 

17 

11 

.323 

4 

17 

4 

6 

4 

12 

47 

49 

12 

779 

8 

13 

9 

10 

6 

39 

12 

15 

20 

2 

3 

4 

2 

3 

4 

6 

11 

6 

4 

19 



24 
6 

25 

112 

1,794 

6 

456 

103 

5 

18 



29 

II 

6 

5 

48 

32 

9 

31 

6 

15 

10 

249 

4 

14 

4 

5 

4 

11 

32 

30 

10 

631 

4 

12 

8 

9 

6 

30 

8 

II 

16 

1 

3 
3 
2 
3 
4 
6 
7 
6 
4 
14 



20 

6 

18 

70 

1,195 

5 

299 

66 

5 
15 

7 



4 
7 

13 

5 

2 

4 

5 

24 

10 

22 

4 

7 

6 

4 

23 

4 



270 



Table 72.— Number of Full-time Law Enforcement Employees, Cities. October 31, 1989— Continued 



Citv 



NEW HAMPSHIRE— Continued 



Concord 

Conway 

Dern 

Dover 

Durham 

Enfield 

Epping 

Exeler 

Farmingion 

Fitzwilliam 

Franklin 

Gilford 

GofTsIown 

Gorham 

Granlham 

Greenville 

Hampslead 

Hampion 

Hanover 

Hinsdale 

Holdemess 

Hollis 

Hooksell 

Hudson 

Jaffrey 

Keene 

Kingston 

Laconia 

Lancaster 

Lebanon 

Lincoln 

Litchfield 

Littleton 

Londonderry 

Manchester 

Meredith 

Merrimack 

Milford 

Milton 

Moultonboro — 

Nashua 

New Castle 

New Hampton 

Newington 

New London — 

Newmarket 

Newport 

Newton 

Northfield 

North Hampton 
Northumberland . 

Northwood 

Pelham 

Pembroke 

Peterborough — 

Pitlsfield 

Plainfield 

Plaislow 

Plymouth 

Portsmouth 

Raymond 

Rindge 

Rochester 

Salem 

Sanbornton 

Seabrook 

Somersworlh — 

Swanzey 

Tilton 

Wakefield 

Waterville Valley 

Webster 

Winchester 

Windham 

Wolfeboro 



Total 

police 

employees 



Total 
olTiccrs 



8f 

.11 

S.t 

?6 

18 

6 

6 

21 

1 I 

^ 

24 

18 

34 

9 

1 

4 

3 

42 

26 

5 

4 

9 

25 

41 

1.3 

52 

7 

49 

b 

30 

11 

8 

1 1 

44 

223 

14 

42 

20 

3 

6 

206 

3 

3 

11 

9 

11 

17 

4 

6 

10 

4 

4 

20 

10 

12 

4 

2 

16 

16 

81 

9 

4 

47 

68 

5 

24 

26 

4 

9 

9 

7 

1 

5 

19 
13 



Total 
civilians 



21 
10 

") 

17 
12 

ti 

8 
1 

3 

3 

34 

16 

4 

4 

8 

20 

30 

11 

41 

6 

39 

6 

27 

7 

7 

9 

33 

170 

I 1 

31 

17 

3 

5 

154 

3 

3 

10 
5 

10 
13 
3 
5 
9 
4 
3 

14 
9 
10 
4 
2 

11 

10 

62 

8 

4 

38 

53 

5 

19 
19 
3 
8 
8 
6 
1 

4 
14 
9 



City 



NEW HAMPSHIRE— Continued 



Woodstock 



NEW JERSEY 



Aberdeen Township 

Absccon 

Allendale 

AUcnhurst 

AUcnlown 

Alpha 

Alpine 

Andover Township 

Asbury Park 

Atlantic City 

Atlantic Highlands 

Audubon 

Audubon Park 

Avalon 

Avon-by-the-Sea 

Barnegat Township 

Barrington 

Bay Head 

Bayonne 

Beach Haven 

Beachwood 

Bedminster Township — 

Belleville 

Bellmawr 

Belmar 

Belvidere 

Bergenfield 

Berkeley Heights 

Berkeley Township 

Berlin 

Berlin Township 

Bernards Township 

BernardsviUe 

Beverly 

Blairstown Township — 

Bloomfield 

Bloomingdale 

Bogota 

Boonton 

Boonton Township 

Bordentown 

Bordentown Township .. 

Bound Brook 

Bradley Beach 

Branchburg Township ... 

Brick Township 

Bridgeton 

Bridgewater Township 

Brielle 

Brigantine 

Brooklawn 

Buena 

Burlington 

Burlington Township — 

Butler 

Byram Township 

Caldwell 

Califon 

Camden 

Cape May 

Cape May Point 

Carlstadt 

Carneys Point Township 

Carteret 

Cedar Grove Township 

Chatham 

Chatham Township .... 

Cherry Hill 

Chesilhurst 

Chester 

Chesterfield Township . 



Total 

police 

employees 



Total 
officers 



38 
27 

19 

12 
5 
5 

12 

11 

57 
607 

19 

18 
4 

32 

12 

27 

16 

9 

184 

13 

15 

14 

89 

24 

27 
6 

52 

29 

69 

14 

15 

36 

16 
6 
11 
127 
15 

21 

20 
9 
12 

24 
23 
19 
18 

112 
63 
71 
18 
38 
4 
14 
39 
42 
15 
15 
22 
1 

328 
21 
6 
32 
24 
58 
32 
24 
32 

148 

6 

10 

1 



Total 
civilians 



30 

25 

16 

8 

5 

5 

12 

7 

52 

393 

14 

17 

4 

25 

9 

22 

15 

8 

173 

13 

14 

13 

86 

18 

21 

6 

47 

25 

59 

1 

14 

28 

15 

5 

6 

107 

14 

21 

17 

9 

8 

14 

18 

16 

17 

92 

55 

59 

14 

32 

4 

9 

31 

34 

14 

13 

21 

1 

274 

15 

6 

31 

17 

51 

31 

18 

27 

121 

6 

9 

1 



4 
5 
214 
5 
1 



7 
3 
5 
1 
I 
11 



5 
4 
10 



1 
1 
5 
20 
1 



4 
10 
5 
3 
1 
20 
8 

12 
4 
6 



54 
6 



1 

7 
7 
1 

6 

5 

27 



271 



Table 72.— Number of Full-time Law Enforcement Employees, Cities, October 31, 1989 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



NEW JERSEY— Continued 



Chester Township 

Cinnaminson Township 

Clark 

Clayton 

Clementon 

Cliffside Park 

Clifton 

Clinton 

Clinton Township 

Closter 

Collingswood 

Cranbury Township 

Cranford Township 

Cresskill 

Deal 

Delanco Township 

Delaware Towhship 

Delran Township 

Demarest 

Denville Township 

Deptford Township 

Dover 

Dover Township 

Dumont 

Dunellen 

Eastampton Township 

East Bumswick 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 

Fair Haven 

Fair L^wn 

Fairview 

Fanwood 

Far Hills 

Flemington 

Florence Township 

Florham Park 

Fort Lee 

Franklin 

Franklin Lakes 

Franklin Township (Gloucester County) 
Franklin Township (Hunterdon County) 
Franklin Township (Somerset County) 

Freehold 

Freehold Township 

Frenchtown 

Galloway Township 

Garfield 

Garwood 

Gibbsboro 

Glassboro 

Glen Ridge 

Glen Rock 



20 
30 
45 
22 
12 
45 
164 

7 
20 
22 
29 
12 
61 
22 
17 

8 

7 
27 
12 
36 
51 
32 
173 
34 
17 
14 
119 
13 
32 

9 

242 

30 

53 

43 

26 

14 

221 

16 

77 

361 

8 

3 
33 
19 
95 
27 

2 
12 
47 
73 
38 
14 
63 
25 
22 

4 
13 
23 
29 
106 
13 
27 
26 

6 
104 
34 
49 

4 
42 
56 
18 

2 
45 
32 
27 



19 
25 
40 
13 
II 
43 
142 

7 

18 
20 
23 
11 
49 
19 
13 

7 

6 
22 
12 
27 
42 
30 
136 
32 
14 
13 
90 
12 
27 

9 
231 
28 
41 
33 
26 
13 
181 

8 

60 

290 

7 

3 
31 
19 
80 
26 

2 
10 
42 
66 
36 
13 
54 
25 
21 

4 
10 
18 
27 
99 
12 
22 
19 

6 
90 
24 
38 

4 
38 
48 
18 

2 
37 
26 
21 



37 



NEW JERSEY— Continued 



Gloucester City 

Gloucester Township 

Green Brook 

Greenwich Township (Gloucester County) 
Greenwich Township (Warren County) 

Guttenberg 

Hackensack 

Hackettslown 

Haddonfieid 

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 

Hawonh 

Hawthorne 

Hazlct 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 

Irvinglon 

Island Heights 

Jackson Township 

Jamesburg 

Jefferson Township 

Jersey City 

Kcansburg 

Kearny 

Kenilworth 

Keyport 

Kinnelon 

Lacey Township 

Lakehurst 

Lakcwood 

Lambertville 

Laurel Springs 

Lavallctte 

Lawnside 

LawTcnce Township 

Lebanon Township 

Leonia 

Lincoln Park 

Linden 

Lindcnwold 

Linwood 

Little Fgg Harbor Township 

Little Falls Township 

Little Ferry 



28 
83 
18 
21 

2 
21 
114 
21 
29 
21 
29 

9 
20 

6 

194 

51 

30 

1 
35 
14 
17 
II 
52 

8 

9 
33 
15 
30 
51 

3 

5 
37 
17 
16 
45 
22 
79 

I 

143 

14 

6 
34 
30 
31 
81 

4 

5 
160 

7 

66 

10 

33 

1,020 

29 

139 

25 

24 

16 

41 

10 

115 

12 

6 
15 

6 
65 

9 
24 
21 
138 
32 
22 
35 
26 
25 



23 
64 
14 
16 

2 

20 
108 
17 
22 
16 
24 
8 

16 

6 

169 

39 

25 

I 

28 

13 

12 

II 

48 



31 
13 
29 
40 

3 

5 
31 
12 
II 
39 
21 
70 

1 

132 

14 

5 
27 
23 
25 
66 

4 

5 
141 

7 
53 

9 
27 
938 
23 
133 
24 
17 
15 
33 

8 
95 
II 

5 
II 

5 
59 

8 
21 
20 
123 
29 
18 
25 
20 
24 



272 



T«ble 72.— Number of Full-time Law Enforcement Employees, Cities. October 31, 1989— Continued 



City 



NEW JERSEY— Concinued 



Link Silver 

Livingston 

Lodi 

Logan Township 

Long Beach Township 

Long Branch 

Longporl 

Lopaicong Township 

Lower Alloways Creek Township 

Lower Township 

Lumberton Township 

LyndhursI Township 

Madison 

Magnolia 

Mahwah Township 

Manalapan Township 

Manasquan 

Manchester Tow nship 

Mansfield Township (Warren County) .. 
Mansfield Township (Burlington County) 

Mantoloking 

Mantua Township 

Manville 

Maple Shade Township 

Maplewood Tow nship 

Margate City 

Marlboro 

Malawan 

Maywood 

Medford Lakes 

Medford Township 

Mendham 

Mendham Township 

Merchantville 

Metuchen 

Middlesex 

Middle Township 

Middletown Township 

Midland Park 

Milford 

Millbum Township 

Milltown 

Millville 

Mine Hill Township 

Monmouth Beach 

Monroe Township (Gloucester County) . 
Monroe Township (Middlesex County) 

Montclair 

Montgomery Township 

Monivale 

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 

MuMica Township 

Njiionai Park 

'■■cplune 

; lune Township 

-i^ong 

Newark 

New' Brunswick 

Newfield 

New Hanover Township 

New Milford 

New Providence 

Newton 



Total 

police 

employees 



Total 
officers 



IS 
60 
44 
II 
4? 
99 
14 
14 
18 
4S 
20 
53 
38 
7 
52 
52 
19 
84 
10 
2 
9 
26 
25 
36 
63 
39 
62 
26 
26 
9 
41 
13 
17 
16 
34 
33 
51 
123 
16 
2 

56 
16 
68 

8 
II 
52 
38 
116 
24 
23 
37 
19 
40 
23 
59 
55 
15 
25 
II 
I 

26 
58 
51 
13 

7 
18 
76 

8 

1,256 

152 

4 

3 
37 
30 
22 



Total 
civilians 



15 
52 
42 
II 
37 
77 
11 

9 
13 
37 
18 
47 
34 

7 
47 
43 
14 
71 
10 



17 
23 
30 
52 
30 
50 
21 
25 

32 
12 
15 
12 
30 
31 
39 
98 
12 
2 

50 
12 
53 

7 

10 
42 
31 
102 
18 
21 
33 
16 
32 
18 
55 
46 
12 
20 
10 
11 
22 
45 
42 
12 

6 
14 
68 

7 

1.064 

125 

4 

3 
34 
25 
16 



City 



NEW JERSEY— Continued 



6 

4 
15 

1 

1 
10 

7 
14 

6 

2 

4 
3 
8 
5 
4 
9 
3 
5 
1 
1 
4 

13 
9 
1 
1 

4 

8 

1 

192 

27 



North Arlington 

North Bergen Township 

North Brunswick Township 

North Caldwell 

Northfield 

North Haledon 

North Hanover Township 

North Plainfield 

Northvalc 

North Wildwood 

Norwood 

Nutley 

Oakland 

Oaklyn 

Ocean City 

Ocean Gate 

Oceanport 

Ocean Township (Monmouth County) 
Ocean Township (Ocean County) — 

Ogdensburg 

Old Bridge 

Old Tappan 

Oradell 

Orange 

Oxford Township 

Palisades Park 

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 

Phillipsburg 

Pine Beach 

Pine Hill 

Pine Valley 

Piscataway Township 

Pitman 

Plainfield 

Plainsboro Township 

Pleasantville 

Plumsted Township 

Pohatcong Township 

Point Pleasant 

Point Pleasant Beach 

Pompton Lakes 

Princeton 

Princeton Township 

Prospect Park 

Rahway 

Ramsey 

Randolph Township 

Raritan 

Raritan Township 

Readington Township 

Red Bank 

Ridgcfield 

Ridgefield Park 

Ridgewood 

Ringwood 

Riverdale 

River Edge 

Riverside 

Riverton 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



46 

115 

79 

19 

26 

18 

4 

43 

13 

37 

14 

65 

33 

8 

76 

7 

19 

72 

19 

6 

123 

13 

22 

97 

6 

32 

16 

1 

23 

139 

147 

25 

423 

19 

7 

3 

55 

2 

128 

21 

32 

31 

130 

33 

6 

16 

7 

98 

17 

165 

31 

53 

3 

7 

33 

28 

27 

39 

37 

10 

77 

37 

46 

19 

23 

18 

47 

32 

31 

56 

29 

16 

29 

14 

6 



43 
104 
68 
15 
19 
15 

3 
38 
12 
32 

14 . 
57 
28 

7 
62 

6 
14 
61 
12 

6 . 
93 
12 
21 
87 

5 
30 
15 
99 
19 
116 
138 

19 
378 

13 

6 

3 

46 

■) 

92 
15 
29 
26 
117 
27 

5 
14 

7 
87 
12 
126 
24 
45 

3 

6 
25 
20 
21 
31 
30 

9 
73 
32 
37 
17 
21 
16 
42 
30 
29 
48 
25 
1 1 
23 

'I 



3 
II 
11 
4 
7 
3 
I 
5 
1 
5 



5 

1 
14 

1 

5 
II 

7 

30 

1 

I 

10 

1 

2 
1 

22 
4 

23 
9 
6 

45 
6 
1 



36 
6 
3 
5 

13 
6 
I 
2 

11 
5 

39 
7 
8 



273 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1989 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



NEW JERSEY— Continued 



River Vale 

Rochelle Park Township 

Rockaway 

Rockaway Township 

Roseland 

Roselle 

Roselle Park 

Roxbury Township 

Rumson 

Runnemede 

Rutherford 

Saddle Brook Township 

Saddle River 

Salem 

Sayreville 

Scotch Plains 

Sea Bright 

Sea Girl 

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 Harrison Township 

South Orange 

South Plainfield 

South River 

South Toms River 

Sparta Township 

Spotswood 

Springfield 

Springfield Township 

Spring Lake 

Spring Lake Heights 

Stafford Township 

Stanhope 

Stillwater Township 

Stone Harbor 

Stratford 

Summit 



Surf City 

Sussex 

Swedesboro 

Teaneck Township 

Tenafiy 

Teterboro 

Tewksbury Township 

Tinton Falls 

Totowa 

Trenton 

Tuckerton 

Union Beach 

Union City 

Union Township 

Upper Saddle River . 

Ventnor City 

Vernon Township ... 

Verona 

Vineland 

Voorhces Township 

Waldwick 

Wallington 

Wall Township 

Wanaque 

Warren Township ... 
Washmgton 



20 
20 
14 
60 
22 
50 
32 
42 
19 
17 
50 
32 
15 
21 
100 
47 
13 
14 
32 
32 
18 
77 
12 
18 
11 
28 
40 
32 

9 
13 
82 
19 

3 
51 
62 
33 

7 
34 
18 
43 

2 
15 
16 
49 

8 

2 
28 
13 
57 
14 

4 

4 
95 
36 



40 

24 

428 

9 

17 

172 

153 

21 

40 

30 

34 

111 

47 

23 

20 

72 

20 

29 

17 



20 
20 
13 
44 
22 
47 
31 
35 
17 
15 
45 
31 
13 
15 
84 
42 
10 
10 
22 
23 
15 
68 
II 
14 
10 
22 
34 
30 

9 
13 
62 
19 

2 
45 
55 
27 

7 
28 
17 
39 

2 
13 
13 
39 

7 

2 
21 
10 
45 
10 

4 

4 
83 
32 



32 

23 

364 

6 

14 

151 

110 

17 

33 

24 

31 

99 

36 

19 

20 

58 

15 

22 

12 



20 



12 



NEW JERSEY— Continued 

Washington Township (Bergen County) 
Washington Township (Gloucester County) 
Washington Township (Mercer County) 
Washington Township (Morris County) 
Washmgton Township (Warren County) . 

Watchung 

Waterford Township 

Wayne Tow nship 

Weehawken Township 

Wenonah 

Westampton Township 

West Amwell Township 

West Caldwell 

West Cape May 

West Dcptford Township 

Westfield 

West Long Branch 

West Milford Township 

West New York 

West Orange 

West Paterson 

WestviUe 

West Wildwood 

West Windsor Township 

Westwood 

Wharton 

Wildwood 

Wildwood Crest 

Willingboro Township 

Winfield Township 

Winslow Township 

Woodbridge Township 

Woodbury 

Woodbury Heights 

Woodcliff Lake 

Woodlynne 

Wood Ridge 

Woodstown 

Woolw ich 

Wyckoff 



NEW MEXICO 



.Mamogordo 
Albuquerque 

Artesia 

Aztec 

Bayard 

Belen 

Bloomfield ... 

Carlsbad 

Clayton 

Clovis 

Corrales 

Cuba 

Deming 

Eunice 

Farmington .. 

Gallup 

Grants 

Hobbs 

Hurley 

Jal 

Jemez Springs 
Las Cruces 
Los Alainos .. 
Los Lunas ... 
Lovington .... 

Milan 

Poriales 

Qucsta 

Raton 

Red River ... 
Rio Rancho 
Roswell 



20 

71 
15 
35 
II 
28 
18 
122 
45 

5 
23 

5 
32 

7 
34 
69 
22 
48 
113 
100 
22 
II 

4 
42 
26 
12 
55 
28 
83 

9 

76 

210 

32 

7 
19 

4 
20 

8 

6 
26 



20 
60 
14 
26 
10 
22 
15 
107 
43 

5 
20 

4 
30 

6 
28 
59 
17 
41 
101 
92 
21 

9 

4 
34 
24 
11 
45 
22 
65 

9 
60 
173 
24 

6 
18 

4 
19 

7 

5 
24 



69 


60 


1,149 


760 


36 


20 


24 


15 


7 


6 


23 


17 


19 


13 


52 


36 


15 


5 


73 


57 


15 


10 


7 


2 


29 


23 


10 


5 


112 


74 


101 


50 


37 


22 


100 


67 


7 


5 


8 


4 


2 


1 


117 


96 


47 


31 


23 


17 


26 


17 


11 


7 


25 


21 


4 


3 


22 


16 


7 


2 


94 


55 


99 


75 



274 



Table 72.— Number of Full-time Law Enforcement Employees, Cities. October M. 1989— Continued 



Ciiy 



NEW MEXICO— Continued 



Ruidoso 

Ruidoso Downs 

Silver Cily 

Taos 

Taos Pueblo Tribal ... 

Taium 

Truth or Consequences 

Tularosa 

Vaughn 



NEW YORK 



Addison Town and Village 

Alexandria Bay Village 

■Mfred Village 

AHamonI Village 

Amherst Town 

Amity Town and Belmont Village 

Amityville Village 

Amsterdam 

Ardsley Village 

Asharoken Village 

Athens Village 

Attica Village 

Avon Village 

Baldwinsville Village 

Ballsion Spa Village 

Batavia 

Bath Village 

Beacon 

Bedford Town 

Bethlehem Town 

Blooming Grove Town 

Bolivar Village 

Boonville Village 

Brant Town 

Brighton Town 

Brockport Village 

Bronxville Village 

Buchanan Village 

Buffalo 

Caledonia Village 

Cambridge Village 

Camden Village 

Camillus Town And Village 

Canajoharie Village 

Canandaigua 

Canastota Village 

Canisteo Village 

Canton Village 

Capitol Police 

Carmel Town 

Carroll Town 

Carthage Village 

Catskill Village 

Cayuga Heights Village 

Centre Island Village 

Chatham Village 

Cheektowaga Town 

Chester Village 

Chittenango Village 

Clarkstown Town 

Clayton Village 

Clay Town 

Clifton Springs Village 

Clinton Village 

Clyde Village 

Cobleskill Village 

Cohocton Town 

Cohoes 

Cold Spring Village 

Colonic Town 

Cooperslown Village 

Corinth Village 

Comwall-on-ihe-Hudson Village 



Total 

police 

cmrlo>cc> 



Total 
otTiccrs 



3 

3 

6 

1 

170 

I 

25 

42 

16 

3 

3 

5 

3 

15 

9 

37 

14 

35 

44 

44 

10 

1 

3 

1 

49 

18 

27 

6 

1.180 

2 

1 

3 
20 

4 
31 



13 

166 

42 

1 

7 
16 
7 
3 
4 
155 
2 

6 
154 
4 
27 
1 
6 



I 
35 

2 

149 
5 
4 
5 



Total 

civ ilians 



3 

3 

6 

1 

140 

1 

25 

40 

16 

3 

3 

4 

3 

1 

4 

34 

10 

33 

38 

33 

10 

1 

3 

1 

40 

14 

23 

6 

1.039 

2 

1 
3 

19 
4 

26 
5 
2 

11 

66 

38 

1 

6 

16 

6 

3 

3 

127 

2 

6 

133 

4 

19 



7 
1 
32 
2 
108 
5 
4 
5 



30 



City 



141 



100 
4 



21 



NEW YORK— Continued 



Cornwall Town 

Cortland 

Cortlandt Town 

Cove Neck Village 

Coxsackie Village 

Crawford Town 

Croton-on-Hudson Village .. 

Dansvillc Village 

Delhi Village 

Depew Village 

Deposit Village 

Dewitt Town 

Dobbs Ferry Village 

Dryden Village 

Dunkirk 

East Aurora-Aurora Town 

Eastchester Town 

East FishkiU Town 

East Greenbush Town 

East Hampton Town 

East Hampton Village 

East Rochester Village 

East Syracuse Village 

Eden Town 

Ellenville Village 

Ellicott Town 

Ellicottville 

Elmira 

Elmira Town 

Elmira Heights Village 

Elmsford Village 

Endicott Village 

Erwin Town 

Evans Town 

Fairport Village 

Falksburg Town 

Floral Park Village 

Florida Village 

Fort Edward Village 

Fort Plain Village 

Fredonia Village 

Freeport Village 

Fulton 

Garden City Village 

Gates Town 

Geddes Town 

Geneseo Village 

Geneva 

Glen Cove 

Glens Falls 

Glenville Town 

Gloversville 

Goshen Village 

Gouverneur Village 

Gowanda Village 

Granville Village 

Great Neck Estates Village 

Greece Town 

Greenburgh Town 

Greene Village 

Green Island Village 

Greenport Town 

Greenport Village 

Greenwich Village 

Greenwood Lake Village ... 

Groton Village 

Guilderland Town 

Hamburg Town 

Hamburg Village 

Hammondsport Village — 

Harriman Village 

Harrison Town 

Hastings-on-Hudson Village 

Haversiraw Village 

Haverstraw Town 



Total 

police 

employees 



Total 
officers 



16 

44 

15 

3 

1 

7 

19 

10 

4 

39 

3 
33 
23 

3 
31 
18 
62 
24 
21 
61 
20 

7 
12 

5 
14 
12 

1 
91 

4 
10 
16 
41 

3 
25 

8 
23 
45 

1 

5 

2 

16 
99 
38 
67 
56 
15 

6 
34 
61 
40 
26 
36 
13 
13 

5 

7 

15 
105 
117 

3 

15 



Total 
civilians 



12 
40 

9 

3 

1 
6 
18 

7 

4 

31 

3 

30 

23 

2 

31 

14 

52 

18 

16 

46 

14 

6 

7 

4 

11 

II 

1 

85 

4 

10 

16 

38 

3 

20 

7 

19 

37 

I 

5 

2 

16 

88 

35 

53 

32 

14 

6 

32 

52 

32 

18 

35 

12 

9 

5 

7 

14 

92 

102 

2 

9 



2 
1 
11 
1 
5 
1 



275 



Table 72.— Number of Full-time Law Enforcement Employees, Cities, October 31, 1989— Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



NEW YORK— Continued 



NEW YORK— Continued 



Hempstead Village 

Highland Falls Village 

Highlands Town 

Holley Village 

Homer Village 

Hoosick Falls Village 

Hornell 

Horseheads Village 

Hudson 

Hudson Falls Village 

Huntington Bay Village 

Ilion Village 

Irondequoit Town 

Irvington Village 

Ithaca 

Jamestown 

Johnson City Village 

Johnstown 

Kenmore Village 

Kensington Village 

Kent Town 

Kings Point Village 

Kingston 

Kirkland Town 

Lackawanna 

Lake Placid Village 

Lake Success Village 

Lakewood-Busti 

Lancaster Town 

Lancaster Village 

Laurel Hollow Village 

Le Roy Village 

Lewiston Village 

Liberty Village 

Little Falls 

Liverpool Village 

Lloyd Town 

Lloyd Harbor Village 

Lockport 

Long Beach 

Lowville Village 

Lynbrook Village 

Lyons Village 

Macedon Town And Village 

Malone Village 

Malverne Village 

Mamaroneck Town 

Mamaroneck Village 

Manlius Town 

Marccllus Village 

Marlborough Town 

Massena Village 

Maybrook Village 

Mechanicville 

Medina Village 

Menands Village 

Middleport Village 

Middletown 

Montgomery Town 

Monticello Village 

Moravia Village 

Moriah Town 

Mount Kisco Village 

Mount Morris Village 

Mount Pleasant Town 

Mount Vernon 

Nassau Village 

Newark Village 

Newburgh 

Newburgh Town 

New Castle Town 

New Hartford Town And Village 
New Platz Town And Village ... 

New Rochelle 

New Windsor Town 



129 
II 

1 

3 

5 

4 
21 
15 
25 
16 

6 
18 
64 
21 
89 
90 
42 
23 
29 

6 
19 
24 
77 

3 
61 
14 
27 

9 
28 
22 

9 
II 

2 

17 
15 
13 

7 
13 
56 
99 

6 
50 
10 

2 
17 
23 
40 
48 
36 

1 
12 
24 
13 
13 
15 
19 

2 
61 

4 
29 

1 

I 
33 

5 
52 
219 
11 
21 
79 
45 
38 
II 
26 
228 
38 



98 

7 

1 

3 

4 

4 

20 

11 

24 

11 

6 

16 

54 

21 

72 

74 

37 

23 

28 

6 

15 

24 

71 

3 

53 

12 

24 

8 

23 

16 

7 

8 

2 

14 

15 

12 

7 

II 

54 

79 

6 

44 

8 

2 

16 

23 

40 

46 

32 

1 

9 

23 

13 

12 

II 

10 

2 

51 

3 

26 

I 

I 

30 

4 

41 

173 

7 

19 

67 

37 

36 

10 

19 

192 

32 



New York 

New York Mills Village 

Niagara Falls 

Niagara Town 

Niskayuna Town 

North Castle Town 

Northport Village 

North Syracuse Village 
North Tarrytown Village 

North Tonawanda 

Norwich 

Norwood Village 

Nyack Village 

Ocean Beach Village 

Ogdcn 

Ogdensburg 

Old Westbury Village ... 

Olean 

Oneida 

Oneonta 

Orangetown Town 

Orchard Park Town 

Oriskany Village 

Ossining Town 

Ossining Village 

Oswego 

Owego Village 

Oyster Bay Cove Village 

Painted Post Village 

Palmyra Village 

Pawling Village 

Peekskill 

Penn Yan Village 

Perry Village 

Phoenix Village 

Piermont Village 

Plattsburgh 

Port Dickinson Village . 

Port Henry Village 

Port Jervis 

Port Washington Village 

Potsdam Village 

Poughkeepsie 

Poughkeepsie Town — 

Pound Ridge Town 

Putnam Valley Town .. 

Quogue Village 

Rensselaer 

Riverhead Town 

Rochester 

Rockville Centre Village 

Roscndalc Town 

Rotterdam Town 

Rouses Point Village ... 

Rye 

Rye Brook Village 

Sag Harbor Village 

St. Johnsville Village ... 

Salamanca 

Salem Village 

Sands Point Village .... 
Saranac Lake Village ... 

Saratoga Springs 

Saugerties Village 

Scarsdale Village 

Schodack Town 

Scotia Village 

Seneca Falls Village 

Shelter Island Town ... 

Shcrrill 

Sidney Village 

Silver Creek Village 

Skancateles Village 

Sloatsburg Village 

Sodus Point Village 



,605 


25,858 


3 


3 


168 


143 


4 


4 


32 


26 


27 


24 


21 


17 


17 


12 


26 


26 


59 


55 


20 


18 


29 


23 


2 


2 


9 


8 


32 


27 


28 


24 


38 


36 


20 


18 


28 


26 


85 


78 


32 


31 


5 


5 


12 


12 


55 


48 


51 


47 


15 


11 


8 


' 8 


4 


4 


6 


5 


4 


4 


65 


50 


12 


II 


7 


7 


2 


2 


6 


6 


50 


48 


4 


3 


24 


24 


66 


58 


18 


15 


86 


76 


82 


72 


21 


15 


12 


12 


34 


27 


86 


69 


762 


641 


63 


53 


3 


3 


50 


40 


42 


36 


21 


21 


17 


16 


3 


3 


12 


12 


23 


23 


13 


13 


68 


60 


II 


10 


49 


44 


7 


6 


15 


14 


16 


12 


9 


8 


4 


4 


8 


8 


6 


5 


5 


5 


7 
1 


6 
1 



276 



Tabic 72.— Number of Full-time I^w Enforcement Employees, Cities, October M, 1989— Continued 



Ciiy 



NEW YORK— Continued 



Solvay Village 

Soulhampton Town 

Souihampton Village 

South Glens Falls Village — 

South Nyack Village 

Southold Town 

Souihport Town 

Spring Valley Village 

Slon\ Point Town 

SufTem Village 

Syracuse 

TarrNtown Village 

Ticonderoga Town 

Tonawanda Town 

Troy 

Trumansburg Village 

Tuckahoe Village 

Tupper Lake Village 

Tuxedo Town 

Tuxedo Park Village 

Ulster Town 

Vernon Village 

Vestal Town 

Wallkill Town 

Walton Village 

Wappingers Falls Village .... 

Warsaw Village 

Warwick Town 

Warwick Village 

Washingionville Village 

Waterford Town And Village 

Waterloo Village 

Watertown 

Water^liel 

Watkins Glen Village 

Waverly Village 

Webb Town 

Webster Town And Village . 
Westhampton Beach Village 

West Seneca Town 

Whitehall Village 

While Plains 

Whitesboro Village 

Whitestown Town 

Wolcott Village 

Woodbury Town 

Woodridge Village 

Woodstock Town 

Yonkers 

Yorktown Town 

Yorkville Village 



NORTH CAROLINA 



Aberdeen 

Ahoskie 

Albemarle 

Andrews 

Angier 

Apex 

Archdale 

Arlington 

Asheboro 

Asheville 

Atlantic Beach . 

Aulander 

Ayden 

Bailey 

Banner Elk 

Batlleboro 

Beaufort 

Beech Mountain 

Belhaven 

Belmont 

Benson 



Total 

police 

employees 



19 

117 

33 

6 

6 
58 

2 
56 
29 
29 
596 
39 

8 
156 
150 

1 
27 
12 
12 

9 
21 

1 
39 

4 

5 

7 

6 
13 
15 

9 
10 

8 
94 
25 

8 
13 

4 
41 
19 
71 

3 
249 

6 

5 

1 
17 

I 

8 

634 

59 

2 



Total 
officers 



15 

85 

23 

6 

6 

47 

1 

50 

28 

25 

453 

33 

8 

104 

123 

1 

24 

II 

9 

5 

17 

1 

32 

1 

4 

4 

6 

11 

13 

8 

7 

7 

76 

25 

5 

13 

4 

30 

17 

66 

3 

200 

6 

5 

1 

14 



536 
52 



Total 
civilians 



17 


16 


16 


11 


43 


39 


6 


6 


10 


6 


19 


13 


14 


14 


47 


44 


175 


140 


30 


25 


15 


11 


4 


4 


4 


4 


2 


2 


16 


15 


13 


8 


10 


9 


25 


18 


15 


11 



II 
I 

6 
1 

4 

143 

6 



49 



City 



NORTH CAROLINA— Continued 



Bethel 

BculaviUe 

Biscoc 

Black Creek 

Black Mountain — 

Bladenboro 

Blowing Rock 

Boiling Spring Lakes 

Boone 

Boonville 

Brevard 

Broadway 

Brookford 

Bryson City 

Bunn 

Burgaw 

Burlington 

Butner 

Candor 

Canton 

Cape Carteret 

Carolina Beach 

Carrboro 

Cary 

Catawba 

Chadboum 

Chapel Hill 

Charlotte 

Cherryville 

China Grove 

Claremonl 

Clayton 

Clinton 

Clyde 

Coats 

Concord 

Conover 

Conway 

Cooleemee 

Cornelius 

Cramerton 

Creedmoor 

Dallas 



Denton 

Dobson 

Drexel 

Dunn 

Durham 

Eden 

Edenton 

Elizabeth City 
Elizabethtown 

Elkin 

Ellerbe 

Elm City 

Elon College . 
Emerald Isle 

Enfield 

Erwin 

Fair Bluff 

Fairmont 

Farmville — 
Fayettcville .. 
Forest City .. 

Foxfire 

Franklinton .. 
Fuquay-Varina 

Garner 

Gaslonia 

Gibson 

Gibsonville .. 
Goldsboro 

Graham 

Granite Falls 
Greensboro .. 



Total 

police 

employees 



Total 
officers 



7 

3 

6 

2 

15 

5 

10 

4 

36 

2 

20 

3 

1 

5 

3 

6 

118 

44 

4 

17 

5 

23 

26 

62 

2 

10 

94 

932 

14 

4 

4 

20 

32 

3 

5 

69 

16 

2 

2 

8 

6 

12 

10 

5 

4 

5 

32 

365 

43 

15 

38 

11 

17 

3 

4 

10 

17 

13 

14 

4 

15 

20 

279 

23 

2 

10 

16 

31 

179 

1 

12 

100 

22 

12 

521 



Total 
civilians 



6 

3 

6 

2 

12 

5 

6 

4 

32 

2 

17 

3 

1 

5 

3 

6 

93 

38 

4 

14 

5 

17 

24 

50 

1 

6 

76 

728 

12 

4 

4 

14 

24 

3 

5 

58 

15 

2 

2 

8 

6 

10 

9 

5 

4 

5 

26 

285 

40 

15 

28 

10 

14 

3 

4 

9 

13 

9 

10 

4 

12 

16 

210 

21 

2 

6 

II 

28 

144 

1 

9 

78 

20 

1 

408 



277 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1989 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



NORTH CAROLINA— Continued 



Greenville 

Grifton 

Hamlet 

Havelock 

Hazelwood 

Henderson 

Hendersonville 

Hertford 

Hickory 

Highlands 

High Point 

Hillsborough 

Holden Beach 
Holly Ridge .... 

Hope Mills 

Hudson 

Huntersville 

Indian Beach . . . 

Jacksonville 

Jefferson 

Jonesville 

Kannapolis 

KenansviUe . — 

Kenly 

Kernersville 

Kill Devil Hills 

King 

Kings Mountain 

Kinston 

Kitty Hawk 

La Grange 

Lake Lure 

Lake Waccamaw 

Landis 

Laurel Park 

Laurinburg 

Lenoir 

Lewiston 

Lexmgton 

Liberty 

Lillington 

Lincolnton 

Locust 

Long Beach 

Longview 

Louisburg 

Lowell 

Lucama 

Lumberton 

Madison 

Maiden 

Manteo 

Marion 

Mars Hill 

Marshville 

Matthews 

Mayodan 

McAdenville — 

Mebane 

Middlesex 

Mocksville 

Monroe 

Montreat 

Mooresville 

Morehead City 

Morganton 

Morrisville 

Mount Airy — 
Mount Holly 
Mount Olive 
Murfreesboro .. 

Murphy 

Nags Head 

Nashville 

New Bern 



NORTH CAROLINA— Continued 



131 
5 

19 

22 

5 

55 

46 

4 

101 

9 

179 

15 

6 

3 

22 

11 

5 

4 

103 

2 

6 

78 

3 

5 

36 

24 

10 

30 

79 

10 

7 

5 

2 

4 

3 

29 

52 

2 

72 

7 

8 

24 

3 

14 

12 

11 

7 

3 

58 

14 

10 

5 

21 

5 

6 

24 

13 

4 

12 

2 

II 

66 

5 

26 

23 

82 

7 

36 

23 

16 

13 

10 

18 

9 

61 



107 

5 

16 

17 

5 

49 

36 

4 

78 

9 

163 

14 

6 

3 

15 

10 

5 

4 

82 

2 

6 

70 

3 

5 

31 

16 

9 

23 

59 

9 

7 

5 

2 

4 

3 

25 

43 

1 

57 

7 

8 

20 

3 

10 

12 

10 

6 

3 

49 

10 

10 

5 

18 

5 

6 

17 

10 

4 

9 

2 

10 

62 

5 

22 

18 

68 

6 

31 

20 

II 

9 

8 

15 

8 

52 



Newland 

Newport 

Newton 

Newton Grove 
North Wilkesboro 

Norwood 

Oakboro 

Old Fort 

Oxford 

Pembroke 

Pilot Mountain 

Pmebluff 

Pmehurst 

Pine Knoll Shores 

Pine Level 

Pinetops 

Pineviile 

Pink Hill 

Piusboro 

Plymouth 

Princeton 

Raeford 

Raleigh 

Ramseur 

Randleman 

Ranio 

Red Sprmgs 

Reids\ilie 

Rhodhiss 

Richlands 

Rich Square 

River Bend 

Roanoke Rapids . 

Robbins 

Robbinsville 

Robersonville 

Rockingham 

Rocky Mount 

Rolesville 

Rose Hill 

Rowland 

Roxboro 

Rulherfordton 

St. Pauls 

Salisbury 

Saluda 

Sanford 

Scotland Neck ... 

Seagrove 

Setma 

Shelby 

Siler City 

Smilhfield 

Southern Pines .. 
Southern Shores . 

Southport 

Sparta 

Spindale 

Sprmg Hope 

Spring Lake 

Spruce Pine 

Stantonsburg 

Stonevillc 

Sugar Mountain 

Sunset Beach 

Surf City 

Swansboro 

Sylva 

Tarboro 

Taylorsville 

Thomasville 

Topsail Beach 
Trent Woods — 

Troutman 

Troy 



4 


4 


3 


3 


38 


28 


2 


2 


22 


19 


5 


5 


2 


2 


3 


3 


35 


27 


13 


9 


9 


9 


18 


14 


7 


7 


2 


2 


7 


4 


9 


9 


6 


6 


16 


12 


I 


3 


13 


12 


473 


425 


6 


6 


6 


6 


6 


6 


13 


10 


41 


38 


2 


2 


4 


4 


41 


32 


9 


6 


4 


4 


7 


7 


29 


23 


146 


110 


4 


4 


4 


4 


4 


4 


30 


22 


10 


10 


10 


8 


75 


58 


2 


2 


56 


47 


15 


8 


2 


2 


20 


15 


58 


46 


17 


12 


30 


->-) 


29 


23 


7 


7 


9 


6 


5 


5 


11 


11 


4 


4 


21 


14 


15 


11 


3 


3 


4 


4 


6 


6 


5 


5 


5 


5 


5 


5 


7 


7 


34 


26 


7 


7 


49 


42 


5 


s 


3 


3 


3 


3 



278 



Table 72.— Number of Full-time l,a» Knforccmcnl Employees, Cities, October 31, 1989— Continued 



NORTH CAROLINA— Conlinued 



Tr> on 

Valdese 

Vanccboro 

Vass 

Wadesboro 

Wake Forest 

Wallace 

Walnut Cove 

Warrenton 

Warsaw 

Washington 

Waxhaw 

Waynesville 

Wea\erville 

Weldon 

Wendell 

West JelTerson 

Whispering Pines . 

Whitakers 

White Lake 

While%ille 

Wilkesboro 

Williamslon 

Wilmington 

Wilson 

Windsor 

Winston-Salem 

Winterville 

Woodfin 

Woodland 

Wrighlsville Beach 

Yadkinville 

Zebulon 



NORTH DAKOTA 



Bismarck — 

Bowman 

Carringlon .. 
Devils Lake 
Dickinson ... 

Fargo 

Grafton 

Grand Forks 

Harvey 

Hazen 

Hillsboro 

Jamestown .. 
Langdon — 

Mandan 

Mayville 

Minot 

Rugby 

Valley City . 
Wahpeton ... 
Watford City 
West Fargo . 
Willislon .... 



OHIO 



Ada 

Akron 

Alliance 

Amberley 

Amherst 

Archbold 

Arlington Heights ... 

Ashland 

Ashtabula 

Athens 

Aurora 

Bainbndge Township 

Barbenon 

Balh Township 



Total 

police 

employees 



\9 

M 

4 

5 

1.1 

28 

1 

23 

7 

10 

12 

5 

6 

4 

4 

25 

15 

14 

166 

90 

6 

463 

4 

6 

1 

25 

5 

12 



91 

3 

4 

14 

37 

104 

13 

86 

3 

4 

1 

31 

3 

32 

3 

68 

4 

15 

18 

4 

18 

25 



8 

499 

40 

17 

18 

7 

6 

36 

36 

34 

19 

23 

49 

19 



lotal 
ofllccrs 



7 

7 

8 

5 

6 

2 

4 

19 

14 

12 

130 

72 

6 

356 

4 

6 

1 

19 



447 
37 
15 
13 
7 
5 
27 
30 
23 
14 
17 
43 
16 



Total 
ciN'ilians 



107 



City 



OHIO— Continued 



Bay Village 

Ba/elta Township 

Bcavercreek 

Beaver Township 

Bedford 

Bedford Heights 

Bcllaire 

Bcllbrook 

Bellevue 

Bcllville 

Belpre 

Berea 

Bexlcy 

Blanchester 

Blue Ash 

Boardman Township 

Bowling Green 

Bradford 

Brady Lake 

BrccksviUe 

Brewster 

Bridgeport 

Broadview Heights 

Brookficld Township 

Brooklyn Heights 

Brook Park 

Brookville 

Bryan 

Bucyrus 

Butler 

Cadiz 

Cambridge 

Canal Fulton 

Canfield 

Canton 

Carey 

Carlisle 

Celina 

Centerville 

Chagrin Falls 

Chardon 

Chauncey 

ChiUicothe 

Cincinnati 

Circleville 

Clearcreek Township 

Cleveland 

Cleveland Heights 

Cleveland Metro Park District 

Cleves 

Clinton Township 

Clyde 

College Corner 

Columbiana 

Columbus 

Conneaut 

Copley 

Cortland 

Covington 

Crestline 

Crooksville 

Cuyahoga Falls 

Dallon 

Dayton 

Deer Park 

Defiance 

Delaware 

Delhi Township 

Delia 

Dennison 

Dover 

Dublin 

East Cleveland 

Eastlake 

East Palestine 



lolal 

police 

employees 



24 

9 
48 

9 
33 
38 
13 
10 
15 

2 

15 
37 
32 

9 
40 
51 
40 

3 

1 
24 

3 

7 
22 
13 
11 
48 
16 
20 
22 

1 

5 

31 

11 

14 

168 

7 

7 
19 
31 
19 
13 

1 

55 

1,152 

27 

5 

2,116 

114 

79 

1 
12 
15 

1 

13 

1,670 

23 

17 

5 

5 
11 

5 
83 

1 
618 
10 
29 
37 
24 

5 

5 
22 
40 
74 
38 

9 



Total 
officers 



7 

38 

5 

26 

31 

13 

6 

12 

2 

10 

29 

24 

5 

33 

41 

30 

3 

1 

20 

3 

4 

17 

9 

11 

38 

9 

15 

18 

1 

5 

25 

5 

9 

163 

7 

7 

14 

24 

12 

8 

1 

50 

933 

18 

4 

1,743 

95 

70 

1 

8 

11 

1 

9 

1.335 

18 

12 

5 

5 

8 

4 

72 

1 

501 

9 

23 

28 

21 

5 

5 

19 

31 

61 

30 

6 



Total 
civilians 



279 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1989 — Continued 



Ciiv 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



Citv 



Total 

police 

employees 



Total 
officers 



OHIO— Continued 

Eaton 

Elmwood Place 

Elyria 

Englewood 

Euclid 

Fai rborn 

Fairfax 

Fairfield 

Fairfield Township 

Fairlawn 

Fairport Harbor 

Fairview Park 

Fayette 

Forest Park 

Fort Shawnee 

Franklin 

Fremont 

Fulton 

Gahanna 

Galion 

Gallipolls 

Garfield Heights 

Gates Mills 

Geneva 

Germantown 

German Township 

Gibsonburg 

Girard 

Glendale 

Golf Manor 

Goshen Township 

Granville 

Greenfield 

Greenhills 

Greenville 

Grove City 

Hamilton 

Harrison 

Hartviile 

Hicksville 

Hilhard 

Hillsboro 

Hubbard 

Hubbard Township 

Huber Heights 

Hudson 

Hunting Valley 

Huron 

Independence 

Indian Hill 

Ironton 

Jackson 

Jackson Township 

Jefferson 

Jefferson Township 

Johnstown 

Kent 

Kettering 

Kirtland Hills 

Lakcmore 

Lake Township 

Lakcwood 

Lancaster 

Lawrence Township 

Lebanon 

Leipsic 

Lexington 

Liberty Township 

Lima 

Logan 

London 

Lorain 

Lordstown 

Loudonville 

Louisville .' . . . 



16 

7 
79 
22 
151 
49 

9 
51 

4 
18 

6 
30 

3 
36 

4 
22 
36 

1 
35 
23 
17 
65 
15 
14 
12 

4 

4 
25 

7 
10 

7 
II 

8 

7 

30 

40 

122 

19 

4 

7 
37 
18 
16 
16 
48 
15 
12 
15 
29 
23 
20 
18 
30 

6 
10 

8 
46 
97 

6 

5 

10 
99 
65 

4 
26 

2 

8 

29 

106 

18 

9 
99 
13 
10 
13 



69 


10 


16 


6 


96 


55 


37 


12 


9 




42 


9 


4 




12 


6 


6 




28 


2 


3 




30 


6 


4 




17 


5 


32 
1 


4 


30 


5 


18 


5 


14 


3 


51 


14 


12 


3 


10 


4 


7 


5 


4 




4 




21 


4 


7 




6 


4 


6 


1 


8 


3 


7 


1 


7 




22 


8 


30 


10 


05 


17 


16 


3 


4 




6 


1 


27 


10 


13 


5 


12 


4 


12 


4 


36 


12 


10 


5 


11 


1 


11 


4 


23 


6 


18 


5 


14 


6 


13 


5 


25 


5 


5 


1 


6 


4 


4 


4 


34 


12 


80 


17 


5 


1 


4 


1 


in 




81 


18 


47 


18 


4 




20 


6 


? 




4 


4 


TT 


7 


81 


25 


13 


5 


9 





OHIO— Continued 

Loveland 

Lyndhurst 

Madeira 

Madison Township 

Mansfield 

Maple Heights 

Mariemont 

Marietta 

Marion 

Marlboro Township 

MarysvUie 

Mason 

Massillon 

Maumee 

Mayfield 

Mayfield Heights 

McConnelsville 

Mentor 

Mentor-on-the-Lake 

Miamisburg 

Miami Township 

Middlcburg Heights 

Middlefield Village 

Middletown 

Milford 

Minerva 

Mingo Junction 

Mogadore 

Monroe 

Montgomery 

Montpelier 

Moraine 

Mount Sterling 

Munroe Falls 

Napoleon 

Navarre 

Newark 

New Boston 

Newcomerstown 

New Lebanon 

New Lexington 

New Philadelphia 

Newtown 

Niles 

North Canton 

North Kingsville 

North Olmsted 

North Ridgeville 

North Royahon 

Northwood 

Norton 

Norwalk 

Norwood 

Oak Harbor 

Oakwood 

Oakwood Village 

Oberlin 

Olmsted Falls 

Ontario 

Oregon 

Orrville 

Ottawa 

Ottawa Hills 

Oxford 

Parma 

Pepper Pike 

Perkins Township 

Perrysburg 

Perry Township 

Pierce Township 

Piqua 

Poland Township 

Porl Clinton 

Portsmouth 

Randolph Township 



12 


1 1 


34 


26 


12 


11 


16 


14 


132 


84 


59 


43 


10 


9 


36 


27 


53 


42 


3 


3 


16 


11 


17 


16 


52 


49 


46 


35 


18 


13 


40 


31 


4 


4 


80 


59 


13 


9 


37 


30 


18 


17 


33 


28 


8 


8 


109 


77 


15 


12 


13 


9 


11 


9 


7 


7 


4 




17 


16 


7 


6 


34 


26 


15 


8 


8 


7 


18 


13 


4 


4 


66 


60 


11 


8 


11 


6 


8 


7 


10 


6 


23 


18 


4 


4 


34 


29 


26 


20 


4 


4 


51 


40 


30 


24 


32 


25 


19 


14 


17 


12 


25 


21 


46 


46 


6 


5 


35 


29 


17 


13 


16 


12 


14 


9 


16 


13 


51 


42 


19 


14 


7 


7 


15 


11 


29 


19 


113 


94 


19 


14 


12 


8 


24 


18 


22 


17 


11 


10 


27 


26 


6 


6 


16 


11 


44 


41 


10 


10 



280 



lablc 72.— Number of Full-time Law Enforcement Employees, Cities, October 31, 1989— Continued 



Cily 



OHIO— CoRliniwd 



Reading 

Reynoldsburg 

Richfield 

Richmond Heights 

Rillman 

Riverside 

Rossford 

St. Bernard 

St. Marys 

Salem 

Sandusky 

Sebring 

Seven Hills 

Shaker Heights 

Sharonville 

Shelby 

Silvenon 

Smith Township 

Solon 

South Euclid 

South Russell 

Spencer\ille 

Springboro 

Springdale 

Springfield 

Springfield Township 

Steubenville 

Stow 

Streetsboro 

Strongsville 

Sunbury 

Swanton 

Sylvania 

Sylvania Township 

Tallmadge 

Terrace Park 

Timn 

Tipp City 

Toledo 

Toronto 

Trenton 

Trotwood 

Troy 

Twinsburg 

Uhrichsville 

Union City 

Unionlown 

Union Township (Butler County) 
Union Township (Clermont County) 

University Heights 

Upper .Arlington 

Upper Sandusky 

Urbana 

Valley View 

Vandalia 

Van Wen 



Vermilion 

Wadsworth 

Waiie Hill 

Walbridge 

Walton Hills 

Wapakoneta 

Warren 

Warrensville Heights 

Warrensville Township 
Washington Court House 

Waterville 

Wauseon 

Waverly 

Waynesville 

Wellington 

Wellsville 

West Carrollton 

Westerville 

West JefTerson 



Total 

police 

employees 



Total 
ofl'icers 



47 
13 
25 
12 

i 
13 
16 
16 
19 
52 

8 

16 
99 
39 
18 
13 

2 

45 

45 

7 

4 

13 

33 

129 

39 

48 

39 

17 

49 

5 

5 

32 

30 

30 

6 

39 

14 

761 

10 

12 

26 

37 

25 

9 

3 

6 

40 

39 

40 

62 

9 

24 

12 

36 

25 

23 

28 

5 

10 

14 

17 

100 

40 

4 

22 

9 

1 1 

14 

2 

5 

6 

28 

62 

10 



Total 
civilians 



18 
36 

9 
19 

8 

3 

13 
16 
12 
18 
44 

5 

15 
65 
31 
15 
10 

2 

37 

38 

7 

4 

9 

27 

101 

27 

38 

26 

11 

42 

5 

5 

27 

24 

20 

5 

27 

10 

706 

10 

7 

24 

30 

18 

8 

3 

5 

30 

28 

31 

52 

8 

20 

12 

28 

19 

18 

22 

5 

5 

10 

13 

82 

34 

4 

16 

8 

9 

10 

2 

3 

6 

22 

51 

7 



City 



OHIO— Continued 



Westlake 

Weston 

West Union 

Whitehall 

Wickliffe 

Willard 

Willoughby 

Wllloughby Hills 

Wilmington 

Windham 

Woodlawn 

Woodsficid 

Woodville 

Wooster 

Worthington — 

Wyoming 

Xenia 

Yellow Springs 
Youngstown 
Zanesville 



Ada 

Alius 

Alva 

Anadarko 

Antlers 

Apache — 
Ardmore . 
Arkoma .. 

Atoka 

Bamsdall 
Bartlesville 



Bethany 

Bixby 

Blackwell 

Bianchard — 

Bristow 

Broken Arrow 
Broken Bow 
Bums Flat ... 

Carnegie 

Catoosa 

Chandler 

Checotah 

Chelsea 

Cherokee 

Chickasha — 

Choctaw 

Chouteau — 
Claremore 

Clayton 

Cleveland 

Clinton 

Coalgate 

Collinsville 
Comanche 
Commerce .. 

Cordell 

Coweta 

Coyle 

Crescent — 

Cushing 

Davis 

Del City .... 

Dewey 

Drumrighl .. 

Duncan 

Durant 

Edmond 

Elk City .... 
Elmore City 
El Reno .... 



OKLAHOMA 



Total 

police 

employees 



Total 
officers 



41 

1 

3 

46 

32 

17 

47 

22 

16 

4 

15 

5 

5 

38 

37 

17 

58 

12 

207 

68 



40 

48 

12 

24 

9 

7 

56 

5 

13 

5 

77 

5 

32 

17 

17 

10 

15 

82 

14 

2 

12 

13 

9 

8 

7 

7 

40 

13 

6 

40 

6 

6 

26 

6 

9 

4 

3 

6 

11 

I 

II 

21 

II 

45 

8 

4 

46 

31 

86 

23 

2 

29 



36 
1 

3 
37 
28 
13 
36 
16 
15 
3 

14 

5 

4 

33 

30 

13 

40 

8 

182 

52 



32 


8 


40 


8 


8 


4 


18 


6 


6 


3 


4 


3 


39 


17 


4 


1 


12 


1 


3 


2 


50 


27 


s 




24 


8 


13 


4 


13 


4 


4 


6 


12 


3 


63 


19 


10 


4 


t 




9 


3 


9 


4 


8 


1 


5 


3 


3 


4 


3 


4 


30 


10 


12 


1 


4 


2 


28 


12 


3 


3 


6 




18 


8 


5 


1 


5 


4 


4 




3 




6 




8 
1 


3 


4 


7 


15 


6 


9 


2 


34 


11 


7 


1 


4 




40 


6 


25 


6 


68 


18 


16 


7 


■> 




23 


6 



281 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1989 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



OKLAHOMA— Continued 



OKLAHOMA— Continued 



Enid 

Erick 

Eufaula 

Fairfax 

Fairview 

Forest Park 
Fort Gibson 

Frederick 

Geary 

Glenpool 

Goodwell 

Gore 

Granite 

Grove 

Guthrie 

Guymon 

Harrah 

Hartshorne 

Haskell 

Healdton 

Heavener 

Hennessey 

Henryetta 

Hobart 

Holdenville ... 

Mollis 

Hominy 

Hugo 

Hulbert 

Idabel 

Inola 

Jay 

Jenks 

Jones 

Kingfisher 

Kingston 

Konawa ... 

Krebs 

Laverne 

Lawton 

Le-xmglon 

Lmdsay 

Locust Grove 
Lone Grove 

Luther 

Madili 

Mangum 

Mannford 

Marietta 

Marlow 

Maud 

Maysville 

McAlester 

McLoud 

Meeker 

Miami 

Midwest City 

Minco 

Moore 

Morris 

Muldrow 

Muskogee 

Mustang 

Newcastle 

Newkirk 

Nichols Hills . 
Nicoma Park . 

Noble 

Norman 

Nowata 

Oilton 

Okeene 

Okemah 

Oklahoma City 
Okmulgee 



102 
2 
13 
8 
9 
4 
5 

14 

7 

13 

3 

3 

1 

19 

29 

19 

10 

5 

5 

7 

9 

8 

16 

11 

13 

10 

12 

15 

6 

25 

4 

9 

16 

4 

8 

4 

6 

3 

5 

189 

10 

9 

7 

3 

5 

9 

10 

9 

6 

11 

3 

5 

43 

8 

3 

32 

120 

2 

59 

3 

7 

96 

18 

9 

5 

18 
5 
13 

127 
8 
2 
7 

10 
1,029 

33 



81 
2 
7 
4 
5 
3 
5 
9 
4 
8 
2 
3 
1 
12 

21 
12 
7 
5 
5 
3 
6 
3 

11 
7 
9 
6 
6 

11 
4 

19 
4 
5 

13 
4 
6 
4 
4 
3 
2 
148 
6 
6 
2 
3 
4 
9 
6 
5 
5 

10 
3 
4 

37 
4 
3 

26 

85 
2 

46 
3 
4 

78 

13 
5 
5 

14 
5 
9 

94 
7 
2 
2 

10 
810 

27 



21 



13 



219 
6 



Oologah 

Owasso 

Panama 

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 

Talihina 

Tecumseh ... 
Tishomingo . 

Tonkawa 

Tulsa 

Tuttle 

Valliani 

Vian 

Village 

Vinita 

Wagoner 

Wallers 

Warner 

Warr Acres 

Watonga 

Waukomis .. 

Waurika 

Waynoka 

Weatherford 

Weleetka 

Westville .... 
Wetunika 

Wewoka 

Wilburton ... 

Wilson 

Woodward . . 
Wright City 
Wynnewood 

Yale 

Yukon 



OREGON 



Albany 
Amity 



3 

23 

4 

20 

12 

5 

4 

17 

6 

8 

57 

2 

19 

9 

25 

21 

5 

4 

8 

3 

3 

16 

39 

46 

8 

19 

6 

65 

I 

14 

2 

8 

5 

12 
72 
14 
4 
10 
12 
29 
7 

15 

16 

10 

822 



16 
3 

14 
8 
5 
4 

12 
4 
5 

52 
2 

14 
5 

21 

16 
5 
3 
4 
3 
2 

13 

29 

36 
5 

14 
2 

48 
1 

10 
2 
7 
5 
7 

52 
9 
4 
6 
8 

21 
4 

10 
8 
6 
668 
5 
4 
5 

18 

12 

12 
4 
2 

20 
7 
1 
3 
4 

16 
4 
5 
5 

II 
4 
1 

17 
I 
5 
3 

24 



37 
I 



282 



Table 72.— Number of Full-lime Law Enforcement Employees. Cities, October 31. 1989— Continued 



City 



Tolal 

police 

cniploNCCs 



OREGON— Continued 



Ashland 

Asloria 

Alhena 

Aum&ville 

Aurora 

Baker 

Bandon 

Bcaverton 

Bend 

Boardman 

Brookings 

Burns 

Buile Falls 

Canby 

Cannon Beach .... 

Can>on\ilte 

Carlton 

Cenlral Point 

Clalskanie 

Coburg 

Coos Bay 

Coquille 

Cornelius 

Corvallis 

Collage Grove ... 

Culver 

Dallas 

Dundee 

Eagle Point 

Elgin 

Enterprise 

Eugene 

Florence 

Forest Grove — 

Garibaldi 

Gaston 

Gearhart 

Ger\'ais 

Gladstone 

Gold Beach 

Gold Hill 

Grams Pass 

Gresham 

Heppner 

Hermislon 

Hillsboro 

Hines 

Hood River 

Hubbard 

Independence — 

Jacksonville 

JefTerson 

John Day 

Junction City — 

Keizer 

King City 

Klamath Falls 

La Grande 

Lake Oswego ... 

Lakeview 

Lebanon 

Lincoln City — 

Madras 

Malin 

McMinnville — 

Medford 

Merrill 

Milton-Freewater 

Milwaukie 

Molalla 

Monmouth 

Monroe 

Mount Angel . . . 

Myrtle Creek ... 

Myrtle Point ... 



Total 
ofl'icers 



32 

25 

2 

4 

1 
16 

7 
71 
4.1 

3 
16 

1 
19 
7 
4 
I 
17 
6 
2 

38 

II 

10 

73 

21 

I 

15 

3 

6 

3 

4 

257 

16 

25 

2 

I 



17 

6 

1 

37 

102 

3 
22 
50 

2 

II 

4 

9 

3 

2 

9 

II 

26 

2 

31 

29 

58 

5 

25 

23 

7 

I 

25 

99 

2 

13 

34 

9 

10 

1 

5 

14 

g 



23 
17 

2 

3 
1 

II 
6 

56 

34 
3 

10 
s 
1 

14 
6 
3 
I 



I 

27 

9 

9 

43 

14 

I 

14 

3 

5 

3 

4 

138 

10 

18 



Total 

civilians 



1 

27 

76 

3 

16 

43 

2 

9 

4 

8 

3 

2 

4 

7 

23 

2 

28 

18 

36 

5 

19 

18 

6 

I 

20 

69 



Citv 



119 
6 

7 



ORKGON— Continued 



Ncwberg 

Newport 

North Bend .... 
North Plains ... 

Nyssa 

Oakland 

Oakridgc 

Ontario 

Oregon City — 

Pendleton 

Philomath 

Phoenix 

Pilot Rock 

Portland 

Powers 

Prairie City — 

Prineville 

Rainier 

Redmond 

Reedspon 

Roekaway 

Rogue River ... 

Roseburg 

Si. Helens 

Salem 

Sandy 

Scappoose 

Seaside 

Sheridan 

Sherwood 

Silverton 

Sisters 

Springfield 

Stanfield 

Stayton 

Sutherlin 

Sweet Home ... 

Talent 

The Dalles 

Tigard 

Tillamook 

Toledo 

Troutdale 

Tualatin 

Turner 

Umatilla 

Umatilla Tribal 

Union 

Vale 

Vernonia 

Waldport 

West Linn 

Weston 

Willamina — 

Winston 

Woodburn — 

Yamhill 



PENNSYLVANIA 



Total 

police 

employees 



Abington Township 

-Adams Township 

Akron 

Albion 

Alburtis 

Aldan 

Aleppo Township 

Aliquippa 

Allegheny Township (Blair County) 

Allegheny Township (Westmoreland County) 

Allentown 

Altoona 

Ambler 

Ambridge 

Amity Township 



Total 
officers 



28 

24 

21 

1 

8 

2 

12 

24 

30 

31 

7 

5 

2 

932 



I 
6 

19 

17 
3 
5 

39 

21 

209 

9 

7 

21 
2 

6 

II 

4 

72 

3 

12 
9 
1 

5 

16 

51 

10 

II 

1 1 

21 

2 

7 

13 

2 

5 

4 

4 

21 

I 

2 

12 

34 

I 



112 
3 
4 



4 
3 

18 

4 

6 

194 

93 

12 

II 

5 



Total 
civilians 



18 

20 

16 
1 

7 
2 
6 

16 

24 

21 
6 
4 
2 
746 
2 
2 

12 
5 

15 

12 

3 

5 

34 

16 

142 

8 

5 

16 
2 

5 
10 

3 
50 

3 
10 

8 
13 

4 
14 
39 

8 

7 

10 
19 



4 
3 

18 

4 

5 

173 

73 

II 

11 

5 



10 
4 
5 



I 

6 
8 
6 
10 
1 
I 



186 



5 

5 

67 

1 

2 
5 



2 
I 
5 
I 
2 

12 
2 
4 
I 
2 



5 
12 



I 
21 
20 

I 



283 



Table 72.— Number of Full-time Law Enforcement Employees, Cities, October 31, 1989— Continued 



City 



PENNSYLVANIA— Continued 



Annville Township 

Archbald 

Armagh Township 

Arnold 

Ashland 

Ashley 

Aspinwall 

Aston Township 

Athens 

Athens Township 

Auburn 

Avalon 

Baden 

Baldwin 

Baldwin Township 

Bangor 

Bamesboro 

Barrett Township 

Bath 

Beaver 

Beaver Falls 

Bedford 

Bedminsler Township 

Belle Acres 

Bellefonte 

Belle Vernon 

Bellevue 

Bellwood 

Bensalem Township 

Bentleyville 

Benton 

Benzinger Township 

Berlin 

Berwick 

Bessemur 

Bethel Park 

Bethel Township 

Bethlehem 

Bethlehem Township 

Big Beaver 

Biglerville 

Birdsboro 

Birmingham Township 

Blairsville 

Blair Township 

Blakely 

Blawnox 

Bloomsburg 

Boyertown 

Brackenridge 

Braddock 

Braddock Hills 

Bradford 

Bradford Township 

Brecknock Township 

Brentwood 

Briar Creek Township 

Bridgeport 

Bridgeville 

Bndgewatcr 

Brighton Township 

Bristol 

Bristol Township 

Brockway 

Brookhaven 

Brookville 

Brownsville 

Bryn Athyn 

Buckingham Township 

Burgettstown 

Burnham 

Bushkill Township 

Bultcr Township (Ashland County) 
Butler Township (Butler County) 
Butler Township (Luzerne County) 



Total 

police 

employees 



4 

6 

1 

14 

7 
1 
7 

18 

3 

6 

1 

9 

4 

27 

5 

5 

2 

4 

3 

12 

18 

7 

5 

1 

12 

1 

16 

1 

88 

2 

2 

7 

1 

15 

1 

41 

1 

144 

I 

3 

2 

5 

2 

5 

3 

6 

4 

15 

6 

4 

11 

4 

20 

6 

3 

18 

2 

12 



Total 
officers 



4 
6 
1 
10 
6 
1 
6 
16 
3 
6 
1 
8 
4 
22 
5 
5 
2 
4 
3 
8 
18 
6 
5 
I 

9 

I 

13 

1 

72 

2 

2 

6 

I 

II 

I 

33 

1 

125 

17 

3 

2 

5 

2 

5 

3 

6 

4 

12 

6 

4 

7 

3 

19 

5 

3 

13 

2 

10 
7 
2 

4 
14 
62 

2 

7 

7 

4 

5 

6 

I 

2 

4 

3 
16 

3 



Total 
civilians 



16 



City 



PENNSYLVANIA— Continued 

Caernarvon Township (Berks County) . . . 
Caernarvon Township (Lancaster County) 

California 

Cain Township 

Cambria Township 

Cambridge Springs 

Camp Hill 

Canonsburg 

Canton 

Carlisle 

Carmichaels 

Carnegie 

Carrolltown 

Carroll Township (Washington County) . 

Carroll Township (York County) 

Carroll Valley 

Castle Shannon 

Catasauqua 

Catawissa 

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 

Conestoga Township 

Conewago Township 

Conewango Township 

Connellsville 

Conshohocken 

Conyngham Township 

Conyngham 

Conway 

Coolbaugh Township 

Coopersburg 

Coplay 

Coraopolis 

Cornwall 

Corry 

Coudersport 

Covmgton Township 

Crafton 

Cranberry Township 

Crescent Township 

Cresson 

Crcssona 



Total 

police 

employees 



3 
1 
7 

14 
I 

2 
7 

15 
2 

32 

16 
1 

4 
6 

4 

II 

9 

3 

9 

9 

4 

2 

I 

I 

27 

10 

5 

84 

120 

1 

7 

3 

6 

10 

9 

I 

6 
8 
2 

11 
2 
3 
1 

16 

24 
2 
6 
5 
9 
9 

16 
4 
4 
2 
5 
4 

17 

13 
I 

2 
3 
6 
5 
4 

15 



Total 
officers 



3 
1 
5 
13 
1 

2 

7 

13 

2 

30 

I 

II 

1 

4 

6 

4 

10 

8 

3 

9 

9 

4 

2 

1 

I 

24 

10 

5 

76 

102 

I 

7 

3 

5 

10 
8 
1 

6 
8 
2 

10 

2 

3 

1 

12 

18 

2 

6 

5 

9 

8 

II 



Total 
civilians 



3 
4 


I 


7 




S 




4 




15 

12 

1 


2 


■> 




3 




5 

5 


1 


4 




1 1 

2 

12 


4 

4 


1 




9 

14 

1 


4 
2 


•) 




7 





284 



Table 72.— Number of Full-time Law Enforcement Employees, Cities, October 31, 1989— Continued 



PEN NSYLV AN I A— Continued 



Crcsson Township 

Cumberland Township (Adams County) 
Cumberland Township (Green County) ... 

Cumru Township 

Curwensvillc 

Dale 

Dallas 

Dalton 

Danville 

Darby 

Darby Township 

Daughen> Township 

Denver 

Derrv 

Derry Township (Dauphin County) 

Derry Township (Mifflin County) 

Dickson 

Dillsburg 

Donegal Township 

Donora 

Dormonl 

Douglass Township (Berks County) 

Douglass Township (Montgomery County) 

Downinglown 

Doylestown 

Doylestown Township 

Du Bois 

Duboistown 

Dunbar 

Duncannon 

Duncansville 

Dunmore 

Dupont 

Duquesne 

Dury ea 

East Berlin 

East Bethlehem Township 

East Brandywine Township 

East Buffalo Township 

East Cocalico Township 

East Conemaugh 

East Coventrv Township 

East Deer Township 

East Donegal Township 

East Earl Township 

East Franklin Township 

East Hempfield Township 

East Lampeter Township 

East Lansdowne 

East McKeesport 

East Norriton Township 

Easton 

East Pikeland Township 

East Rockhlll Township 

East Siroudsburg 

East Taylor Township 

Easttown Township 

East Washington 

East Whiteland Township 

Ebensburg 



Total 

police 
■inployccs 



Economy 

Eddystone 

Edgewood 

Edgeworth 

Edinboro 

Edwardsvllle 

Elizabeth 

ElizalKthtown 

Elizabeth Township 

Elkland 

Ellwood City 

Emmaus 

Emporium 

Emsworth 

Ephrata 



Total 
ofl'iccrs 



21 

I 

4 
I 

9 

15 

12 

I 

3 
I 
31 
7 
9 
5 
1 
5 
I 
3 
8 

14 
20 
19 
16 



1 

1 
17 

3 
14 

6 

1 

3 

7 

6 
12 

2 

2 

2 
1 

3 

2 

22 

23 

3 

2 

27 

63 

5 

2 

14 
2 

14 
2 

15 
5 
6 
7 
7 

II 
g 
7 
1 

13 

13 
2 

20 

19 
3 
3 

18 



Total 
civilians 



19 
3 
I 

4 
1 

8 

14 

12 

I 

3 

I 
25 
7 
9 
4 

1 
5 
13 

3 

7 

12 
15 
15 
II 

1 

I 

1 

1 
15 

3 
14 

3 

I 

3 

7 

6 
11 

2 

2 

2 

1 

2 

2 
21 
20 

3 

2 
23 
54 

5 

2 

13 
2 

13 
2 

13 
5 
6 
6 
7 
5 
7 
7 
1 

11 

12 
2 

16 

14 
3 
3 

16 



Citv 



PENNSYLVANIA— Continued 



Ephrata Township 

Erie 

Etna 

Everett 

Evcrson 

Exeter 

Exeter Township (Berks County) 

Exeter Township (Luzerne County) 

Falrchance 

Falrvlew 

Falrvlew Township 

Fallowfield Township 

Falls Creek 

Falls Township 

Farrell 

Fawn Township 

Ferndale 

FIndlay Township 

Fleetwood 

Folcroft 

Ford City 

Forest City 

Forest Hills 

Forks Township 

Forty Fort 

Forward Township 

Foster Township 

Fountain Hill 

Fox Chapel 

Frackville 

Franconia Township 

Franklin (Cambria County) 

Franklin (Venago County) 

Franklin Park 

Franklin Township (Beaver County) .... 
Franklin Township (Carbon County) 

Freedom-Greenfield Township 

Freeland 

Freemansburg 

Freepon 

Galeton 

Gallitzin Township 

Geistown 

German Township 

Gettysburg 

Girard 

Glassport 

Glenolden 

Granville Township 

Greencastle 

Green Tree 

Greenville 

Grove City 

Hallstead 

Hamburg 

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) 
Heidelberg Township (Lebanon County) 

Hellam Township 

I Hellertown 



Total 

police 

employees 



Total 
officers 



4 
217 
9 
3 
I 
7 
18 
2 
2 

I 

14 

3 

1 

55 

16 

3 

2 

13 
5 
9 
4 
2 

14 
10 
7 
5 
3 
6 
12 
6 
7 
I 
24 
6 
1 
3 
2 
4 
2 
2 
1 
1 
3 
1 
16 
3 
4 
9 
5 
3 
II 
12 
9 
2 

6 

15 

19 

22 

18 

5 

4 

200 

17 

3 

I 

16 

25 

74 

28 

2 

3 

1 

1 

5 

10 



Total 
civilians 



4 




192 


25 


7 


2 


2 
1 


1 


5 


2 


17 


1 


1 




1 

1 


1 


13 


1 


3 




1 




51 


4 


14 


2 


3 




7 




8 


5 


5 




9 




4 




■> 




10 


4 


9 


1 


6 


1 


5 




3 




6 




1? 




6 




6 
1 


1 


17 


7 


6 




1 




3 




? 




4 




■> 




2 




1 




1 




3 




1 




13 


3 


3 




4 




8 


1 


5 




3 




10 


1 


11 


1 


9 




T 




6 




15 




18 


1 


20 


2 


13 


5 


5 




4 




154 


46 


13 


4 


3 




1 




12 


4 


19 


6 


61 


13 


25 


3 


? 




3 




1 




1 




4 


1 


9 


1 



285 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1989 — Continued 



Citv 



Total 

police 

employees 



Tola! 
officers 



Total 
civilians 



Citv 



Total 

police 

employees 



Total 
officers 



PENNSYLVANIA— Continued 



Hemlock Township 

Hempfield Township 

Hermitage 

Highspire 

Hilltown Township 

Hojlidaysburg 

Homer City 

Homestead 

Honesdale 

Hooversville 

Hopewell Township 

Horsham Township 

Houtzdale 

Hughesville 

Hummelstown 

Huntingdon 

Independence Township 

Indiana 

Indiana Township 

Industry 

Ingram 

Irwin 

Jackson Township (Butler County) 
Jackson Township (York County) 

Jamestown 

Jeannetle 

Jefferson 

Jefferson Township 

Jenkins Township 

Jenkintown 

Jermyn 

Jersey Shore 

Johnsonburg 

Jones Township 

Kane 

Kennedy Township 

Kennett Square 

Kidder Township 

Kilbuck Township 

Kingston 

Kingston Township 

Kittanning 

Kline Township 

Kulpmont 

Kutztown 

Lake City 

Lake Township 

Lancaster 

Lansdale 

Lansdowne 

Lansford 

Larksville 

Lai robe 

Laureldale 

Lawrence Park Township 

Lawrence Township 

Lebanon 

Leechburg 

Leetsdale 

Leel Township 

Lehighlon 

Lehigh Township 

Lehman Township 

Lemoyne 

Lewisburg 

Lewistown 

Ligonier 

Ligonier Township 

Lilly 

Limerick Township 

Linesville 

Lililz 

Littlestown 

Lock Haven 

Locust Township 



2 
7 

29 
4 

16 

12 
1 

II 
8 
1 

11 

42 
I 

4 
6 

13 
I 

27 
7 
I 

6 
4 
2 
7 
I 

17 

10 
1 
3 

14 
t 

7 
6 
1 
6 

10 

10 
9 
I 

22 
8 
8 
I 
4 
8 
2 
I 
130 

26 

21 
4 
4 

13 
3 
7 
8 

45 
3 
4 
3 
9 
7 
2 
5 
7 

20 



2 
6 

24 
4 

13 
7 
1 
7 
7 
1 

10 

35 
1 

4 
6 

II 
1 

19 
7 
I 
6 
4 
2 
6 
1 

16 

10 
1 
3 

13 
2 
6 
5 
1 
6 

10 
9 
9 
I 

21 
8 
g 
1 
4 
7 
2 
I 
118 

20 

17 
3 
4 

12 
3 
6 
8 

39 
3 
4 
3 
7 
7 
2 
5 
7 

15 
2 
2 
I 
7 
2 
8 
5 

II 
1 



PENNSYLVANIA— Continued 



Logan Township 

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 Township 

Lower Swatara Township 

Lower Yoder Township 

Luzerne 

Luzerne Township 

Macungie 

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 

M asontown 

Matamoras 

Mayfield 

McAdoo 

McCandless 

McConnellsburg 

McDonald 

McKeesport 

McKees Rocks 

McSherrystown 

Meadville 

Mechanicsburg 

Mcchanicsville 

Media 

Menallen Township 

Mercer 

Mercersburg 

Meyersdale 

Middleburg 

Middlesex Township (Butler County) 

Middlesex Township (Cumberland County) 

Middletown 

Middlctown Township 

Midland 

Mifllinburg 

Mifflin Town 

Milford 

Millbourne 

Millcreek Township 

Millersburg 

Millersville 

Mill vale 

Millville 

Milton 

Minersville 

Mohnton 

Monaca 

Monessen 

Monongahela 



18 

20 

7 

13 

4 

20 

27 

149 

27 

1 

48 

9 

31 

12 

14 

25 

11 

4 

3 

I 

2 

8 

4 

5 

7 

6 

53 

14 

4 

5 

3 

5 

42 

2 

1 

3 

5 

2 

1 



13 

19 

7 

13 

4 

16 

24 

121 

20 

1 

42 

8 

25 

II 

9 

22 

10 

4 

3 

1 

2 

7 

4 

5 

6 

6 

40 

13 

4 

4 

2 

4 

33 

2 

I 

3 
5 
2 
1 

2 

25 

2 

3 

47 
10 

4 
21 
14 

1 
13 

1 

3 



4 
5 

13 

46 
4 
5 
I 

2 
4 

48 
5 
7 
3 
I 

9 
6 
3 
4 

II 
9 



286 



I able 72.— Number of Full-limc Law Enforcement Employees, Cities, October M. 1 <>89— Continued 



Cilv 



PENNSYLVANIA— Continued 



Monroeville 

Monlgomcn' 

Monlgomerv' Township 

Montoursville 

Montour Township 

Montrose 

Moon Township 

Moore Township 

Moosic 

Morrisville 

Morton 

Moscow 

Mountainlop Regional 

Mount Carmel 

Mount Carmel Township 

Mount Holly Springs 

Mount Jewetl 

Mount Joy 

Mount Joy Township 

Mount Lebanon 

Mount Penn 

Mount Pleasant 

Mount Pocono 

Mount Union 

Muhlenberg Township 

Muncy 

Munhall 

Murrysville 

Myerslown 

Nanticoke 

Nanty do 

Narberlh 

Nazareth 

Neshannock Township 

Ncsquehoning 

Nether Providence Township 

Neville Township 

Newberry Township 

New' Brighton 

New Britain 

New Britain Township 

New Castle 

New Cumberland 

New Eagle 

New Freedom 

New Hanover Township 

New Holland 

New Hope 

New Kensington 

New Oxford 

Newport 

Newport Township 

New Sewickley Township — 

Newton Township 

Newtown 

Newtown Township 

Newville 

New Wilmington 

Nockamixon Township 

Northampton 

Northampton Township 

North Belle Vernon 

North Bethlehem Township 

North Braddock 

North Catasaqua 

North Charteroi 

North Codorus Township ... 
North Cornwell Township .. 
North Coventry Township 

North East 

Northeastern Regional 

Northern York Regional — 
North Fayette Township — 
North Franklin Township 
North Huntmgdon Township 



Total 

police 
riiiployccs 



64 

2 

33 
5 

I 

■> 

29 
5 
3 

13 

5 
2 

10 

12 
5 
3 
I 

9 
6 

56 
5 
3 
3 
4 

22 
3 

21 

20 
4 

14 



Total 
olTiccrs 



4 
3 

13 
40 

T 

1 
6 

4 
1 

2 

9 

7 
12 

7 
31 
18 

7 
23 



Total 
ci\ilians 



16 
4 

1 1 
2 

6 

II 
1 
4 

12 
6 
9 
8 
I 
7 

33 
7 
3 
2 

6 

5 

6 

24 

2 

2 

5 

5 

1 

16 

14 

■) 

4 
3 
9 
33 
2 
I 

6 
4 
I 



Citv 



PE N NSYLV A N I A— Continued 



North Lebanon Township 

North Londonderry Township 

North Middleton Township 

North Scwicklcy I'ownship 

North Strabanc 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 

Orangeville 

Orwigsburg 

Osceola Mills 

Oxford 

Palmerton 

Palmer Township 

Palmyra 

Parks Township 

Patterson Township 

Patlon 

Palton 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 

Pittsburgh 

Pittston 

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 

Pottsville 

Prospect Park 

Punxsutawney 

Pymatunmg Township 

Quakerlown 

Raccoon Township 

Radnor Township 

Ralpho Township 



Total 

police 

employees 



Total 
officers 



9 

12 
3 
1 

20 
8 
8 
1 

6 
I 

4 
1 
7 
9 

24 
9 
I 

4 
2 

10 
3 
3 
5 

63 
4 
4 

15 

19 
3 

10 
I 

22 

,190 

I 

28 
I 
■> 

10 

3 

,114 

13 

6 

II 

18 

21 

5 

10 

41 

9 

I 

4 
1 

3 
3 
3 
50 
35 
8 
15 
6 
16 

T 

59 
4 



Total 
civilians 



1 

4 
■> 

10 

3 
3 
5 

55 
3 
4 

14 

17 
3 
9 
I 

17 

6.263 

1 

23 
I 
2 

10 

3 

1,076 

10 

6 

1 1 

14 

17 

5 

6 

33 

9 

I 

4 

1 

3 

3 

3 

42 

29 

8 

10 

6 

14 

2 

49 

4 



10 



287 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1989 — Continued 



Clly 



PENNSYLVANIA— Continued 



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 

St. Clair 

St. Marys 

Salisbury Township 

Saltsburg 

Sandy Lake 

Sandy Township 

Saxonburg 

Saxton 

Sayre 

Schuylkill Haven 

Schuylkill Township 

Scotldale 

Scott Township (Allegheny County) .... 

Scott Township (Columbia County) 

Scott Township (Lackawanna County) 

Scranton 

Selinsgrove 

Sellersville 

Seven Springs 

Sewickley 

Sewickley Heights 

Shaler Township 

Shamokin 

Shamokin Dam 

Sharon 

Sharon Hill 

Sharpsburg 

Sharpsville 

Sheffield Township 

Shenandoah 

Shenango Township (Lawrence County) 
Shenango Township (Mercer County) .. 

Shickshinny 

Shillington 

Shippensburg 

Shippingport 

Shiremanstown 

Shrewsbury 

Silver Spring Township 

Sinking Spring 

Slatington 

Slippery Rock 

Smith Township 

Snyder Township 

Solebury Township 

Somerset 

Souderton 



Total 

police 

employees 



205 
6 
2 
3 
3 
I 

10 

22 
6 
9 

35 
2 
I 
1 
1 
3 

21 
9 
I 

4 
2 

41 

10 
7 
1 
1 
1 
5 
7 

11 
1 
I 
5 
1 
1 
9 

12 
6 
7 

29 
3 
2 

113 

6 

4 

6 
II 

8 
38 
18 

3 
32 
10 

6 

6 

2 

8 

2 

3 

1 

8 

9 

1 

2 

3 
10 

4 

6 

5 

2 

2 

9 

7 

7 



Total 
officers 



1 
179 
6 
2 
3 
3 
1 

9 

17 

6 

8 

28 

2 

1 

I 

1 

2 

16 

8 

1 

4 
2 
32 
9 
6 
1 
1 
1 
5 
fi 
10 
1 
1 
5 
1 
1 
8 
8 
5 
7 
25 
3 
2 
107 
5 
4 
6 
8 
7 
29 
14 
3 
25 
9 
6 
5 
2 
7 
2 
2 

1 
7 
9 
1 
2 
3 

10 
4 
6 
5 
2 
2 
8 
6 
6 



Total 
civilians 



City 



PENNSYLVANIA— Continued 



South Abington Township 

South Beaver Township 

South Centre Township 

South Coatesville 

South Fayette Township 

South Fork 

South Greensburg 

South Lebanon Township 

South Londonderry Township 

Soulhmont 

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 

Steelton 

Sloneboro 

Stoneycreek Township 

Stowe Township 

Strasburg 

Stroudsburg 

Stroud Township 

Sugarcreek 

Sugarloaf Township 

Summerhill Township 

Summerville 

Summit Hill 

Sunbury 

Susquehanna 

Susquehanna Township (Cambria County) 
Susquehanna Township (Dauphin County) . 

Swarthmore 

Swatara Township 

Swissvale 

Swoyersville 

Sykesville 

Tamaqua 

I'arentum 

Taylor 

Telford 

Temple 

Thornbury Township 

Throop 

Tinicum Township (Bucks County) 

Tmicum Towhship (Delaware County) 

Titusvillc 

Tobyhanna Township 

Topton 

f owamencin Township 

Towanda 

Trafford 

Trainer 

Tredyffrin Township 

Troy 

Tullytown 

Tunkhannock 

1 unkhannock Township 

Turtle Creek 

Tyrone 

Union City 

Union Township (Washington County) 

Union Township (Mifflin County) 

Upland 



Total 

police 

employees 



9 
I 
4 
3 

12 
1 

2 
6 
3 
2 

15 
7 
2 
2 

34 
5 
I 
4 
2 

25 
5 

40 

32 

18 

15 
3 

69 

10 
1 
3 

10 
3 

16 

13 
3 
2 
1 
1 
4 

20 
2 
1 

29 
8 

35 

17 
5 
1 

14 

12 
7 
7 

2 

2 

5 

4 

14 

14 

10 

6 

17 

6 
1 

4 
53 

3 

10 

5 

1 

8 
II 

6 

5 

2 

2 



Total 
officers 



Total 
civilians 



4 




2 


1 


P 




1 




7 




6 




3 




-> 




14 


1 


7 




•> 




7 




30 


4 


5 




1 




3 


1 


7 




22 


3 


5 




33 


7 


31 


1 


17 


1 


15 




3 




54 


15 


9 
1 


1 


3 




10 




3 




13 


3 


12 


1 


3 




? 




1 




1 




4 




13 


7 


7 




1 




25 


4 


8 




33 


2 


13 


4 


3 
1 


2 


11 


3 


7 


5 


7 




6 


1 


7 




7 




5 




4 




12 


2 


13 


1 


9 


1 


6 




15 


2 


6 




1 




4 




45 


8 


3 




8 


2 


5 




1 




7 


1 


5 


6 


3 


3 


5 




7 




? 





288 



Table 72.— Number of Full-time Law Enforcement Employees, Cities, October 31, 1989— Continued 



City 



PENNSYLVANIA— Continued 



Upper Allen Township 

Upper Chichcslcr Township 

Upper Darby Township 

Upper Dublin Township 

Upper Gwynedd Township 

Upper Makerield Township 

Upper Merion Township 

Upper Moreland Township 

Upper Mouni Belhel Township 

Uppei Nazareth Township 

Upper Perkiomen 

Upper Potlsgrove 

Upper Providence Township (Delaware 

County) 

Upper Providence Township (Montgomery 

County) 

Upper St. Clair Township 

Upper Saucon Township 

Upper Southhampton Township 

Upper Uwchlan Township 

Upper Yoder Township 

Uwchlan Tow nship 

Valley Tow nship 

Vandergrifl 

Vanpon Township 

Vernon Township 

Verona 

Versailles 

Wall 

Walnutport 

Warminster Township 

Warren 

Warrington Township 

Warwick Township (Bucks County) 

Warwick Township (Lancaster County) 

Washington 

Washington Township (Fayette County) 

Washington Township (Franklin County) 

Washington Township (Northampton County) 

Watsontown 

Waynesboro 

Waynesburg 

Weatherly 

Wellsboro 

Wemersville 

Wesleyville 

West Brandywine Township 

West Chester 

West Conshohocken 

West Deer Township 

West Donegal Township 

West Earl Township 

West Fairview 

Wcsifall Township 

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 Mayfield 

West Middlesex 

West MifTlin 

West Newton 

West Norriton Township 

West Pittston 

West Potlsgrove Township 

West Reading 

West Rockhill Township 

Westtown Township 



Total 

police 

employees 



22 

151 

40 

14 

9 
67 
43 

6 

2 

8 

4 

10 

10 

30 

14 

24 

3 

5 

18 

4 

8 

3 

3 

3 

1 

1 

3 

48 

24 

15 

8 

13 

27 

1 

10 

2 

4 

16 

7 

2 

5 

I 

3 

9 

49 

5 

6 

4 

2 

2 

1 

1 

22 

2 

7 

II 

7 

II 

6 

2 

21 

5 

1 

1 

34 

2 

25 

9 

7 

7 

4 

12 



lotal 
officers 



Total 
civilians 



12 
19 
121 
36 
13 

9 
53 
35 

6 

2 

7 

4 

10 

9 

26 

13 

21 
3 
5 

16 
4 
8 
3 
3 
3 
I 
1 
3 

41 

20 

13 
7 

12 

26 
1 

9 
2 
4 

15 
7 
2 
5 
1 
3 
9 

36 
5 
5 
4 
2 
2 
1 
I 

20 
2 

7 

10 
7 
7 
6 
2 

19 
5 
1 
1 

29 
2 

22 
5 
7 
7 
4 

II 



City 



PENNSYLVANIA— Continued 



13 



West View 

West Whitcland Township 

West Wyoming 

West York 

Wheatland 

Whitehall 

Whitehall Township 

Whitemarsh Township 

White Oak 

Whitpain Township 

Wiconisco Township 

Wilkes-Barre 

Wilkes-Barre Township 

Wilkinsburg 

Wilkins Township 

Williamsburg 

Williamsport 

Williamstown 

Willistown Township 

Wilson 

Windber 

Wind Gap 

Windsor Township 

Woodward Township 

Wormleysburg 

Wrightsville 

Wyoming 

Wyomissing 

Wyomissing Hills 

Yardley 

Yeadon 

York 

York Springs-Latimore Township 

York Township 

Youngsville 

Zelienople 



RHODE ISLAND 



Harrington 

Bristol 

Burrillville 

Central Falls .... 

Charlestown 

Coventry 

Cranston 

Cumberland 

East Greenwich 
East Providence 

Foster 

Glocester 

Hopkinton 

Jamestown 

Johnston 

Lincoln 

Little Compton 

Middlelown 

Narragansetl 

Newport 

New Shoreham 
North Kingstown 
North Providence 
North Smithfield 

Pawtucket 

Portsmouth 

Providence 

Scituale 

Smithfield 

South Kingstown 

Tiverton 

Warren 

Warwick 

Westerly 

West Greenwich . 
West Warwick ... 



Total 

police 

employees 



Total 
officers 



11 

19 

4 

6 

1 

23 

45 

31 

10 

27 

1 

102 

13 

37 

11 

1 

52 

1 

14 

7 

3 

3 

9 

1 

7 

2 

4 

19 

3 

4 

17 

110 

2 

24 

4 



8 

17 
4 
6 
1 

18 

34 

28 

10 

24 
1 

90 
9 

30 

II 
1 

49 
I 

13 
7 
2 
3 
8 
1 
5 
2 
4 

14 
3 
4 
16 

94 
2 

22 
2 



Total 
civilians 



32 


25 


43 


33 


24 


18 


39 


36 


21 


16 


61 


48 


178 


145 


51 


43 


36 


28 


111 


88 


11 


7 


12 


8 


13 


8 


13 


11 


75 


56 


37 


32 


11 


7 


42 


38 


40 


31 


103 


83 


7 


3 


59 


49 


69 


51 


21 


17 


174 


147 


29 


27 


493 


440 


20 


15 


44 


35 


54 


41 


33 


24 


27 


21 


218 


166 


43 


38 


9 


5 


53 


49 



5 

II 

3 



12 
4 

7 



I 
16 



7 

10 
6 
3 
5 

13 
33 



23 
4 
4 
5 
2 

19 
5 
4 
4 
9 

20 
4 

10 

18 
4 

27 
2 

53 
5 
9 

13 
9 
6 

52 
5 
4 
4 



289 



Table 72.— Number of Full-time Law Enforcement Employees, Cities, October 31, 1989— Continued 



City 



RHODE ISLAND— Continued 

Woonsockel - 



SOUTH CAROLINA 



Abbeville 

Aiken 

Allendale 

Anderson 

Andrews 

Aynor 

Bamberg 

Barnwell 

Batesburg 

Beaufort 

Belton 

Bennellsville . 

Bethune 

Bishopville — 

Blacksburg 

Blackville 

Bowman 

Calhoun Falls 

Camden 

Cayce 

Central 

Charleston ... 

Cheraw 

Chesnee 

Chester 

Cheslerfield . . 

Clemson 

Clmton 

Clover 

Columbia 

Conway 

Cowpens 

Darlington ... 
Denmark — 

Dillon 

Due West 

Duncan 

Easley 

Edgefield 

Elloree 

Estill 

Eutawville 
Fairfax 

Florence 

Folly Beach .. 

Forest Acres . 

Fort Mill .... 

Fountain Inn 

Gaffney 

Gaston 

Georgetown 

Goose Creek 

Great Falls .. 

Greenville 

Greenwood 

Greer 

Hampton 

Hanahan 

Hardeeville 

Hartsville 

Heath Springs 

Hemingway .. 

Holly Hill ... 

Honea Path 

Inman 

Irmo 

Isle of Palms 

Iva 

Jackson 

Johnsonville 

Johnston 



Total 

police 

employees 



111 



18 
89 
10 
87 
14 

3 

8 
II 
13 
35 
19 
28 

2 
16 
10 

6 

2 

6 
29 
48 

3 

348 

25 

6 
17 

6 
26 
28 
15 
263 
37 

6 
32 

7 
19 

3 

3 
28 
10 

5 
II 

2 

5 
87 
12 
30 
16 
17 
31 
1 
38 
37 

8 

206 

55 

38 

12 

25 

II 

31 

2 

7 

10 

IS 
5 

15 

22 

6 

2 



Total 
officers 



101 



14 

69 

6 

64 

10 

3 

7 

10 

9 

31 

14 

22 

2 

II 

6 

5 

2 

6 

24 

35 

3 

247 

20 

6 

15 

5 

20 

26 

14 

213 

29 

6 

23 

7 

14 

3 

3 

22 

7 

5 

6 

I 

5 

70 

8 

22 

II 

12 

23 

1 

35 

27 

7 

171 

44 

29 

II 

18 

7 

24 

2 

4 

6 

II 

5 

14 
15 
5 
2 
4 
6 



Total 
civilians 



10 



101 

5 



City 



SOUTH CAROLINA— Continued 



Jonesville 

Kershaw 

Kingstree 

Lake City 

Lakeview 

Lamar 

Lancaster 

Landrum 

Latta 

Laurens 

Leesville 

Lexington 

Loris 

Lyman 

Marion 

Mauldin 

McBee 

McCoU 

McCormick 

Moncks Corner 

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 

Rock Hill 

St. George 

St. Matthews 

St. Stephens 

Salem 

Saluda 

Santee 

Seneca 

Simpsonville 

South Congaree 

Spartanburg 

Springdale 

Sullivans Island 

Summerton 

Summervillc 

Sumter 

Surfside Beach 

Tega Cay 

Timmonsville 

Travelers Rest 

Union 

Varnville 

Wagener 

Walhalla 

Walterboro 

Ware Shoals 

West Columbia .... 

Westminster 

Whitmire 

Williamston 

Williston 

Winnsboro 

Woodruff 

York 



Total 

police 

employees 



SOUTH DAKOTA 



Aberdeen 



Total 
officers 



3 

11 

19 

23 

7 

3 

39 

8 

12 

27 

7 

10 

10 

3 

25 

31 

2 

10 

6 

16 

58 

18 

106 

24 

10 

48 

187 

62 

43 

3 

1 

17 

5 

10 

13 

4 

6 

92 

5 

5 

8 

I 

7 

6 

28 

26 

1 

140 

6 

6 

5 

30 

90 

13 

12 

8 

23 

36 

3 

1 

12 

30 

11 

32 

9 

4 

14 

9 

23 

17 

22 



49 



3 

6 

14 

IS 

4 

3 

32 

8 

6 

26 

7 

10 
10 
3 
19 
25 
1 

6 
5 

12 

43 

14 

99 

21 

6 

37 

138 

44 

32 

3 

1 

12 

5 

9 

12 

4 

5 

78 

5 

5 

4 

I 

7 

4 

24 

20 

2 

120 

6 

5 

5 

28 

64 

9 

7 

5 

18 

28 

3 

I 

II 

21 

7 

25 

9 

4 

II 

8 

18 

16 

17 



38 



290 



Table 72.— Number of Full-time Law Enforcement Employees, Cities, October 31, 1989— Continued 



City 



SOI IH DAKOTA— Continued 



Belle Fourche 
Brookings . . . 
Chamberlain 
Fort Pierre 

Huron 

Lead 

Madison 

Miichell 

Mohridgc ... 
Rapid City . 

Salem 

Sioux Falls 
Spcarfish — 
Vermillion .. 
Watertown 
Yankton — 



TENNESSEE 



Adamsville 

Alcoa 

Ardmore 

Ashland City — 

Athens 

Banleii 

Baxter 

Benton 

Bolivar 

Brentwood 

Bristol 

Browns\ille 

Brucelon 

Bulls Gap 

Carthage 

Centerville 

Chattanooga 

Church Hill 

Clarksville 

Cleveland 

Collegedale 

Collierville 

Collinwood 

Columbia 

Cookeville 

Cowan 

Crossville 

Cumberland Gap 

Dayton 

Decherd 

Dresden 

Dyer 

Dyersburg 

East Ridge 

Elkton 

Erwin 

Estill Springs ... 

Etowah 

Fairview 

Fayetteville 

Franklin 

Friendsvitle 

Gallatin 

Gatlinburg 

Germantown — 

Gleason 

Goodleitsville ... 

Grand Junction 

Greeneville 

Halls 

Harriman 

Hartsville 

Henderson 

Hendersonville 

Hohenwald 

Hollow Rock 



Total 

police 

employees 



Total 
officers 



8 
.10 

8 

3 
23 

8 
12 
29 
10 
98 

T 

158 
14 
20 
29 
35 



13 
531 

5 

151 

64 

7 
43 

4 
59 
62 

4 
20 

1 
14 

9 

5 

6 
50 
33 

1 
10 

2 

13 
13 
25 
61 

I 
44 
36 
54 

4 
38 

3 
36 

5 
20 
13 
12 
56 
10 

I 



Total 
civilians 



25 
4 
3 

22 
6 
9 

"»■> 

6 
80 

2 

1.36 
10 
15 
25 

2 



5 

5 
25 
39 

5 

16 

36 

49 

18 

3 

2 

2 

9 
379 

5 

129 

59 

7 
3 

3 
50 
50 

4 
19 

I 
10 

6 

5 

6 
41 
27 

I 
10 



20 

49 

1 

35 

31 

43 

4 

29 

3 

35 

5 

17 

9 

12 

45 

10 

1 



Citv 



TENNESSEE— Continued 



19 



4 
152 



Humboldt 

Huntingdon 

Hunlland 

Jackson 

Jasper 

JefTerson City 

Jellico 

Johnson City 

Jonesborough 

Kenton 

Kimball 

Kingsport 

Knoxville 

Lafayette 

La Follette 

Lake City 

La Vergne 

Lawrenceburg 

Lexington 

Livingston 

Lookout Mountain 

Lorello 

Martin 

Maryville 

McKenzie 

McMinnville 

Memphis 

Milan 

Millersville 

Millinglon 

Minor Hill 

Monterey 

Morristown 

Mount Juliet — 
Mount Pleasant 
Murfreesboro — 

Nashville 

Newbern 

New Johnsonville 

Newport 

New Tazewell 

Norris 

Oak Ridge 

Obion 

Oliver Springs ... 
Pigeon Forge — 
Portland 

Pulaski 

Red Bank 

Ripley 

Rockwood 

Rutherford 

Savannah 

Selmer 

Sevierville 

Sewanee 

Sharon 

Shelby ville 

Signal Mountain 

Smyrna 

Soddy-Daisy 

Somerville 

South Carthage 

South Fulton ... 

South Pittsburg . 

Sparta 

Spring City 

Springfield 

Spring Hill 

Sweetwater 

Tazewell 

Trenton 

Trimble 

Tullahoma 

Union City 



Total 

police 

employees 



Total 
officers 



32 
14 
2 

171 
12 
16 

7 

132 

12 

3 

9 

119 

353 

15 

22 

8 
22 
36 
24 
13 
19 

3 
26 
35 
16 
37 
1,781 
19 

6 
30 

4 

4 

57 

14 

14 

HI 

1,317 

13 

4 
29 

7 

7 
55 

2 

II 
36 
16 

23 
24 
22 
17 
3 
18 
10 
32 
12 



16 

30 

18 

10 

2 

8 

8 

18 

10 

31 

7 

17 
5 

16 

4 

33 

30 



Total 
civilians 



26 

10 

2 

125 

8 

12 

6 

III 

8 

3 

5 

82 

292 

12 

17 

7 

17 

25 

20 

12 

15 

3 

21 

32 

12 

28 

1,353 

18 

3 

24 

2 

4 

50 

9 

10 

91 

1,021 

9 

4 

27 

7 

7 

46 

1 

II 

30 

12 

19 

18 

21 

13 

3 

14 

10 

26 

9 

2 

23 

14 

23 

14 

7 

2 

6 

8 

14 

6 

25 

7 

13 
5 
11 
3 
29 
22 



46 

4 
4 
1 
21 
4 



4 

37 

61 

3 

5 

1 

5 

II 

4 

1 

4 



5 
3 
4 
9 
428 
I 
3 
6 



7 
5 
4 
20 
296 
4 



291 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1989 — Continued 



City 



Total 

police 

employees 



Total 
ofTicers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
ofTicers 



TENNESSEE— Continued 



Waverly 

Westmoreland 
White House 
Winchester ... 
Woodbury 



TEXAS 



Abernathy 

Abilene 

Addison 

Alamo 

Alamo Heights 

Alice 

Allen 

Alpine 

Aivarado 

Alvin 

Amariilo 

Andrews 

Angleton 

Anson 

Anthony 

Aransas Pass ... 

Arlington 

Arp 

Athens 

Atlanta 

Austin 

Azie 

Balch Springs ... 
Balcones Heights 

Ballinger 

Bangs 

Bastrop 

Bay City 

Bayou Vista 

Baytown 

Beaumont 

Bedford 

Beeville 

Bellaire 

Bellmead 

Bellville 

Belton 

Benbrook 

Bertram 

Beverly Hills ... 

Big Sandy 

Big Spring 

Bishop 

Blue Mound 

Boerne 

Bonham 

Borger 

Bowie 

Brady 

Brazoria 

Breckenridge 

Brenham 

Bridge City 

Bridgeport 

Brookshire 

Brownficld 

Brownsville 

Brownwood 

Bryan 

Burkburnett 

Burleson 

Burnet 

Caddo Mills .... 

Caldwell 

Cameron 

Canadian 

Caney City 



TEXAS— Continued 



3 


3 


200 


152 


60 


43 


16 


13 


24 


19 


39 


30 


31 


22 


12 


6 


12 


7 


40 


33 


316 


244 


16 


14 


37 


28 


5 


4 


5 


4 


20 


16 


446 


350 


2 


2 


26 


19 


16 


1 1 


028 


756 


25 


18 


41 


29 


18 


17 


8 


5 


10 


8 


35 


27 


4 


4 


130 


96 


269 


215 


81 


58 


23 


17 


51 


36 


16 


11 


9 


7 


26 


18 


39 


31 


5 


5 


3 


3 


62 


47 


8 


4 


9 


4 


12 


11 


18 


12 


28 


20 


16 


10 


12 


7 


8 


6 


15 


10 


36 


25 


17 


12 


15 


8 


11 


7 


18 


14 


184 


139 


34 


27 


108 


76 


16 


II 


33 


26 


8 


6 


2 


2 


7 


6 


13 


8 


2 

1 


2 
1 



7 
5 
272 
7 
12 
1 
3 



Canton 

Canyon 

Carmine 

Carrollton 

Carthage 

Castle Hills 

Cedar Hill 

Cedar Park 

Center 

Childress 

Cisco 

Clarksville 

Cleburne 

Cleveland 

Clifton 

Clute 

Cockrell Hill 

Coleman 

College Station 

Colleyville 

Colorado City 

Columbus 

Comanche 

Combes 

Commerce 

Conroe 

Converse 

Coppell 

Copperas Cove 

Corinth 

Corpus Christi 

Corrigan 

Corsicana 

Crane 

Crockett 

Crowley 

Crystal City 

Cuero 

Daingerfield 

Dalhart 

Dallas 

Dalworthington Gardens 

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 

Edgewood 

Edinburg 

Edna 

El Campo 

Electra 

Elgin 

El Paso 

Elsa 

Ennis 



11 


7 


16 


14 


159 


116 


17 


11 


19 


16 


36 


29 


18 


11 


18 


13 


14 


9 


7 


7 


11 


7 


46 


35 


21 


14 


6 


5 


22 


14 


14 


9 


11 


9 


89 


64 


23 


16 


12 


7 


5 


4 


10 


6 


3 


3 


23 


17 


69 


54 


19 


18 


20 


18 


46 


33 


10 


9 


494 


355 


8 


5 


41 


33 


10 


6 


18 


12 


19 


13 


12 


8 


10 


9 


6 


5 


15 


9 


3.316 


2,472 


6 


6 


15 


9 


10 


9 


51 


42 


5 


3 


60 


48 


46 


38 


103 


86 


13 


8 


52 


38 


11 


6 


14 


9 


20 


16 


2 


2 


8 


6 


27 


19 


7 


5 


26 


21 


73 


49 


6 


5 


47 


40 


5 


4 


10 


8 


6 


5 


3 


2 


3 


3 


52 


37 


9 


8 


23 


18 


6 


3 


14 


8 


980 


756 


14 


8 


33 


26 



292 



Table 72.— Number of Full-time Law Enforcement Employees, Cities, October 31, 1989— Continued 



Cily 



TEXAS— Continued 



Euless 

Everman 

Fairfield 

Falfurrias 

Farmers Branch 

Farmcrsvillc 

Ferris 

Floresville 

Flower Mound 

Flo>dada 

Forest Hill 

Forney 

Fori Stockton 

Fori Wonh 

Frankston 

Fredericksburg . . 

Freeport 

Freer 

Friendswood 

Friona 

Frisco 

Gainesville 

Galena Park 

Galveston 

Garland 

Gatesville 

Georgetown 

Giddings 

Gilmer 

Gladewaier 

Glenn Heights 

Gonzales 

Gorman 

Graham 

Granbury 

Grand Prairie 
Grand Saline ... 

Grapevine 

Greenville 

Gregory 

Groesbeck 

Groves 

Gruver 

Gun Barrel City 

Hallettsville 

Hallom City 

Hamlin 

Harker Heights 

Harlingen 

Hawkins 

Heame 

Hedwig Village 

Hemphill 

Hempstead 

Henderson 

Hereford 

Hewitt 

Hico 

Hidalgo 

Highland Park .. 
Highland Village 

Hill Country 

Hillsboro 

Hitchcock 

Hollywood Park 

Hondo 

Hooks 

Horseshoe Bay 

Houston 

Humble 

Huntington 

Hunisville 

Hurst 

Hutchins 

Hulto 



Total 

police 
employees 



78 
18 
10 

9 
79 

4 
1 1 

4 
31 

3 

26 

12 

17 

1.285 

5 

17 
35 

6 
41 
10 
16 
41 
21 
189 
290 
16 
35 
13 

9 
19 
10 
15 

3 

15 

16 

212 

5 
77 
50 

3 

6 
13 

2 
13 

5 
54 

9 

35 

101 

5 
17 
20 

3 

10 
28 
29 
22 

3 
24 
59 

16 

7 

23 

15 
7 

14 

4 

7 

5.454 

51 

3 

42 

85 

13 
I 



Total 

officers 



56 
14 

6 

8 
66 

4 
10 

4 
23 

3 
19 

8 

10 
981 

3 

15 
27 

2 
32 

6 

12 

33 

16 

157 

212 

9 
24 



13 
5 
8 
3 

14 

13 

140 

5 

53 

40 

3 

5 

12 

2 

8 

4 

46 

5 

26 

82 

4 

II 

14 

3 

9 

23 

23 

15 

3 

18 

50 

9 

7 

17 

12 

7 

12 

4 

6 

4.088 

40 

3 

31 

55 

9 

I 



Total 

civilians 



7 

4 

7 

304 



Cilv 



TEXAS— Continued 



1,366 
II 



Idalou 

Ingleside 

Iowa Park 

Irving 

Jacinto City — 

Jacksboro 

Jacksonville 

Jamaica Beach 

Jasper 

Jefferson 

Jersey Village . . . 

Joshua 

Jourdanton 

Katy 

Kaufman 

Keene 

Keller 

Kemah 

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 

Lampasas 

Lancaster 

La Porte 

Laredo 

La Vemia 

League City 

Leander 

Leon Valley 

Levelland 

Lewisville 

Lexington 

Liberty 

Lindale 

Littlefield 

Live Oak 

Livingston 

Llano 

Lockhart 

Lockney 

Lone Star 

Longview 

Lorena 

Los Fresnos 

Lubbock 

Lufkin 

Luling 

Lumberton 

Madisonville ... 

Malakoff 

Manor 

Mansfield 

Manvei 

Marble Falls ... 



Total 

police 

employees 



3 
13 
16 
308 
19 

7 
28 

6 
22 

6 
21 

6 

4 
22 
17 
12 
25 

7 

4 
18 
15 
43 
36 
153 
54 
14 

6 
4 

12 
8 

10 



loial 
officers 



3 
8 

12 
2.34 

14 
6 

ii 

5 

14 



14 

6 

4 

17 

12 

7 

20 

4 

4 

12 

9 

35 

28 

117 

42 

8 

3 

5 

4 

8 
6 

4 



1 1 


7 


14 


9 


43 


31 


1 


-> 


15 


II 


15 


II 


26 


19 


27 


20 


22 


16 


14 


8 


48 


35 


56 


41 


195 


175 


48 


36 


11 


7 


33 


25 


27 


20 


91 


74 


17 


10 


10 


6 


17 


11