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

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S. Department of Justice 

deral Bureau of Investigation 



J 1.14/7:990 

Uniform Crime Rc|)orls, 1990.. 




Release Date 
Sunday 
August 11, 1991 





Crime 

in the 

Uni 



t 




.SOCIATIO/Vo^ 





tates 



UNIFORM 



CRIME 



SUMMARY 




REPORTS 



AUG i'i 1331 



for the United States 



CRIME INDEX 




PRINTED ANNUALLY - 1990 by: 

Federal Bureau of Investigation 

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



CRIMES CLEARED 



ADVISORY: Committee on Uniform Crime Records 

International Association of Chiefs of Police; 

Committee on Uniform Crime Reporting 

National Sheriffs' Association; 

Uniform Crime Reporting Data Providers Advisory Policy Board 



PERSONS ARRESTED 



LAW ENFORCEMENT PERSONNEL 




APPENDICES 




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



r 



FOREWORD 

As we proceed into the 21st century, the foremost challenge of the law 
enforcement community is its continued success in the warfare against the 
escalating violent crime occurrences in the United States. Administered by the 
FBI since 1 930, recent enhancements in the Uniform Crime Reporting (UCR) 
Program will provide law enforcement with more comprehensive data for use 
in meeting this challenge. 

Since its inception, Crime in the United States has portrayed a steadily 
increasing number of law enforcement agencies voluntarily participating in the 
UCR Program. Federal law enforcement has now joined the UCR 
constituency, and its addition results in the UCR Program being the first 
central repository for law enforcement statistics at all levels of government- 
local, state, and Federal. In addition to the increasing number of participants 
in the Program, the National Incident-Based Reporting System (NIBRS), now 
being implemented across the country, will offer a wealth of crime information 
never before available. NIBRS will address almost all current criminal justice 
issues, providing decisionmakers with comprehensive, uniform data upon 
which to rely when developing crime resistance measures. 

A recent and most important adjunct to the UCR Program is the collection 
of hate-related offenses. Concern that the degree of prejudice-motivated crimes 
in America during the 1980s had increased dramatically, Congress passed and 
the President signed the Hate Crime Statistics Act in 1990. Prior to the law's 
enactment, no national law enforcement clearinghouse was available to assess 
just how widespread these incidents had become. Undeniably, the lack of 
concrete statistics rendered it impossible to measure the volume of these 
offenses or to generate practical resolutions. 

In January 1991, the UCR contributors commenced gathering information 
on crimes motivated by prejudice against a victim's race, religion, ethnic origin 
or sexual orientation. As in the past, the effective and efficient compilation of 
data will necessitate the continued cooperation of the more than 16,000 law 
enforcement contributors. Realizing that nationwide strategies rely upon the 
ability to identify and track crimes that are prompted by bias, the law 
enforcement community is offering its support and has committed resources to 
the successful implementation of the hate crime statistics program. 

No single entity, however, can rectify the hate crime problem in our 
Nation. A campaign against such intolerable behavior requires the 
consolidated efforts of the law enforcement community, a myriad of human 
interests groups, and the general public. Only such collaborative effort will 
send an unambiguous message that any demeanor exhibiting prejudice will not 
be tolerated. 



Of/cAo^SJL^ 



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 rankings of cities and counties based on their 
Crime Index figures. This simplistic and incomplete analysis often creates improper perceptions which 
adversely affect cities and counties along with their residents. Assessing criminality and law enforcement's 
response from jurisdiction to jurisdiction must encompass many elements, some of which, while having 
significant impact, are not readily measurable nor applicable pervasively among all locales. Geographic 
and demographic factors specific to each jurisdiction must be considered and applied if crime assessment is 
to approach completeness and accuracy. There are several sources of information which may assist the 
responsible researcher. The U.S. Bureau of Census data, for example, can be utilized to better understand 
the makeup of a locale's population. The transience of the population, its racial and ethnic makeup, its 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 nonresidents (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 residents' mobility, commuting patterns, and transient 
factors. 

Modes of transportation and highway system. 

Economic conditions, including median income, destitution, and job availability. 

Cultural conditions, such as educational, recreational, and religious characteristics. 

Family conditions with respect to divorce and family cohesiveness. 

Climate. 

Effective strength of law enforcement agencies. 

Administrative and investigative emphases of law enforcement. 

Policies of other components of the criminal justice system (i.e., prosecutorial, judicial, 
correctional, and probational). 

Attitudes of citizenry toward crime. 

Crime reporting practices of citizenry. 
The Uniform Crime Reports give a nationwide view of crime based on statistics contributed by state 
and local law enforcement agencies. Population size is the only correlate of crime utilized in this 
publication. While the other factors listed above are of equal concern, no attempt is made to relate them to 
the data presented. The reader is, therefore, cautioned against comparing statistical data of individual 
reporting units from cities, counties, states, or colleges and universities solely on the basis of their population 
coverage or student enrollment. 



CONTENTS 

Page 

Section I — Summary of the Uniform Crime Reporting Program 1-6 

Section II — Crime Index Offenses Reported 7-162 

Narrative comments: 

Murder and nonnegligent manslaughter 8-14 

Forcible rape 15-17 

Robbery 18-22 

Aggravated assault 23-26 

Burglary 27-31 

Larceny-theft 32-37 

Motor vehicle theft 38-41 

Arson 42-45 

Crime Index tabulations 46-50 

Charts: 

Crime clock, 1990 7 

Murder, monthly variation from annual average 10 

Murder, 1986-1990 , 10 

Forcible rape, monthly variation from annual average 17 

Forcible rape, 1986-1990 17 

Robbery, monthly variation from annual average 20 

Robbery, 1986-1990 20 

Robbery analysis, 1986-1990 22 

Aggravated assauh, monthly variation from annual average 25 

Aggravated assault, 1986-1990 25 

Burglary, monthly variation from annual average 29 

Burglary, 1986-1990 29 

Burglary analysis, 1986-1990 30 

Larceny-theft, monthly variation from annual average 34 

Larceny-theft, 1986-1990 34 

Larceny analysis, 1986-1990 36 

Larceny analysis, 1 990 37 

Motor vehicle theft, monthly variation from annual average 40 

Motor vehicle theft, 1986-1990 40 

Crime Index total, 1986-1990 47 

Crime Index offenses, percent distribution, 1990 48 

Regional violent and property crime rates, 1990 49 

Tables: 

Murder: 

By month, percent of annual total, 1986-1990 9 

Age, sex, and race of victims, 1 990 1 1 

Victim/offender relationship by race and sex, 1990 11 

Type of weapons used, 1990 12 

Victims, type of weapons used, 1986-1990 12 

Victims — weapons used, 1 990 12 

Circumstances by relationship, 1 990 13 

Circumstances by weapon, 1 990 13 

Circumstances, 1986-1990 14 

vii 



Page 
Tables — Continued 

Forcible rape, by month, percent of annual total, 1986-1990 16 

Robbery: 

By month, percent of annual total, 1986-1990 19 

Percent distribution, region, 1990 19 

Percent distribution, population group, 1990 21 

Type of weapons used, 1 990 21 

Aggravated assault: 

By month, percent of annual total, 1986-1990 24 

Type of weapons used, 1 990 24 

Burglary, by month, percent of annual total, 1986-1990 28 

Larceny-theft: 

By month, percent of annual total, 1986-1990 33 

By region, 1990 33 

Motor vehicle theft: 

By month, percent of annual total, 1986-1990 39 

By region, 1990 39 

Arson, 1990: 

Rate, population group 43 

Type of property 43 

Structures not in use 44 

Property damage 44 

Offenses cleared by arrest 44 

Offenses cleared by arrest of persons under 1 8 years of age 44 

Index of crime: 

United States, 1981-1990 50 

United States, 1990 51 

Regional offense and population distribution, 1990 51 

Region, geographic division, and state, 1989-1990 52-59 

State, 1990 60-70 

Number of offenses known to the police, 1990: 

Cities and towns 10,000 and over in population 71-118 

Universities and colleges 1 19-127 

Suburban counties 128-141 

Rural counties 25,000 and over in population 142-149 

Crime trends, offenses known to the police, 1989-1990: 

Population group 150-151 

Suburban and nonsuburban cities, population group 152 

Suburban and nonsuburban counties, population group 153 

Offense breakdown, population group 154-155 

Crime rates, offenses known to the police, 1990: 

Population group 156-157 

Suburban and nonsuburban cities, population group 158 

Suburban and nonsuburban counties, population group 159 

Offense breakdown, population group 160-161 

Offense analysis, 1990, and percent change from 1989 162 

Type and value of property stolen and recovered, 1990 162 

Section III— Crime Index Offenses Cleared 163-172 

Narrative comments 163 

Chart: 

Crimes cleared by arrest, 1990 164 



viii 



Page 

Tables: 

Offenses known and percent cleared by arrest, 1990: 

Population group 165-166 

Geographic region and division 167-168 

Offense breakdown, population group 1 69- 1 70 

Offenses cleared by arrest of persons under 1 8 years of age, 1 990 171-172 

Section rv — Persons Arrested 173-235 

Narrative comments 1 73- 1 74 

Tables: 

Arrests for drug abuse violations, 1990 173 

Total estimated arrests. United States, 1990 174 

Arrests, number and rate, 1990: 

Region 175 

Population group 1 76-1 77 

Total arrest trends: 

1981-1990 178 

Sex, 1981-1990 179 

1986-1990 180 

Sex, 1986-1990 181 

1989-1990 182 

Sex, 1989-1990 183 

Total arrests, 1990: 

Distribution by age 184-185 

Male arrests, distribution by age 186-187 

Female arrests, distribution by age 188-189 

Of persons under 15, 18, 21, and 25 years of age 190 

Distribution by sex 191 

Distribution by race 1 92-1 94 

City arrest trends: 

1989-1990 195 

Sex, 1989-1990 196 

City arrests, 1990: 

Distribution by age 197-198 

Of persons under 15, 18, 21, and 25 years of age 199 

Distribution by sex 200 

Distribution by race 20 1 -203 

Suburban county arrest trends: 

1989-1990 204 

Sex, 1989-1990 205 

Suburban county arrests, 1990: 

Distribution by age 206-207 

Of persons under 15, 18, 21, and 25 years of age 208 

Distribution by sex 209 

Distribution by race 210-212 

Rural county arrest trends: 

1989-1990 213 

Sex, 1989-1990 214 

Rural county arrests, 1990: 

Distribution by age 215-216 

Of persons under 15, 18, 21, and 25 years of age 217 

Distribution by sex 218 

Distribution by race 21 9-22 1 

Suburban area arrest trends: 

1989-1990 222 

1 Sex, 1989-1990 223 

ix 



Page 
Tables — Continued 

Suburban area arrests, 1990: 

Distribution by age 224-225 

Of persons under 15, 18, 21, and 25 years of age 226 

Distribution by sex 227 

Distribution by race 228-230 

Arrests by state. Crime Index offenses, 1990 231-234 

Police disposition of juvenile offenders taken into custody, 1990 235 

Law Enforcement Code of Ethics 236 

Section V — Law Enforcement Personnel 237-322 

Narrative comments 237 

Tables: 

Full-time law enforcement employees, October 31, 1990: 
Employees, number and rate per 1,000 inhabitants, geographic region and division by population 

group 

Officers, number and rate per 1,000 inhabitants, geographic region and division by population 

group 

Employees, range in rate per 1,000 inhabitants 240 

Officers, range in rate per 1,000 inhabitants 241 

Employees, percent male and female 242 

Civilian employees, percent of total, population group 242 

State agencies 243 

Cities 244-303 

Universities and colleges 304-308 

Suburban counties 309-3 1 2 

Rural counties 31 3-322 

Section VI — Appendices 323-363 

Appendix I — Table methodology 323-326 

Appendix II — Offenses in Uniform Crime Reporting 327-328 

Appendix III — Uniform Crime Reporting area definitions 329-330 

Appendix IV — Index of Crime, Metropolitan Statistical Areas, 1990 331-358 

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



238 
239 



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 ofl"ense 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 1990, law enforcement agencies active in the 
UCR Program represented approximately 239 million 
United States inhabitants, or 96 percent of the total 
population as established by the Bureau of the Census. The 
coverage amounted to 98 percent of the United States 
population living in MSAs, 93 percent of the population in 
"other cities," and 89 percent of the rural population. 

Although most law enforcement agencies submit crime 
reports to the UCR Program, data are sometimes not 
received for complete annual periods. To be included in 
this publication's Tables 6, 7, 8, and 9, showing specific 
jurisdictional statistics, figures for all 12 months of the 
current year must have been received at the FBI prior to 
established publication deadlines. Other tabular 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, 
cities, counties, and geographic regions and divisions are 
Bureau of the Census 1990 decennial census counts and are 
subject to change. (See Appendix III.) The United States 
population showed virtually no change in 1990 from the 
1989 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 1990 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 Table 1 of this publication, 
1988 offense totals for these two states were estimated. 
Previous valid annual totals, by population group, were 
updated for the states by applying percentage changes for 
each offense within each population group of the geo- 
graphic division in which the state resides. The state totals 
were compiled from the sums of the population group 
estimates. Reporting recommenced for both states during 
1989, and usable data have since been received. 

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 compar- 
able 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 woin. conducted during the first 
phase and discussed the potential changes that should be 
considered during phase two. 

Findings from the evaluation's first phase and input on 
alternatives for the future were also major topics of 
discussion at the seventh National UCR Conference in 
July, 1984. Overlapping phases one and two was a survey 
of law enforcement agencies. 

Phase two ended in early 1985 with the production of a 
draft "Blueprint for the Future of the Uniform Crime 
Reporting Program." The study's Steering Committee 
reviewed the draft report at a March, 1985, meeting and 
made various recommendations for revision. The Commit- 
tee members, however, endorsed the report's concepts. 

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

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

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

Concurrent with the preparation of the data elements, 
the FBI studied the various state systems to select an 



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

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

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

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

Information about the redesigned UCR Program, called 
the National Incident-Based Reporting System or NIBRS, 
is contained in 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 (I BR) 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 three 
state-level UCR Programs (Alabama, North Dakota, and 
South Carolina) and one Federal agency (Department of 
the Interior) now supply data in the NIBRS format. An 
additional eight state agencies have 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. The implementation of 
NIBRS, the redesigned UCR Program, at the Federal level 
is underway, and the Department of the Interior, which 
acted as the pilot agency for testing Federal participation 
requirements, is currently supplying data. The FBI has 
provided supplemental NIBRS guidelines for Federal law 
enforcement and is working closely with Federal agencies 
as they modify their records systems to accommodate 
NIBRS requirements. 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 Statis- 
tics Act, passed by the U. S. Congress and signed by the 
President in April, 1990, mandates a 5-year data collection 
of crimes motivated by religious, ethnic, racial, or sexual- 
orientation prejudice. On January 1, 1991, the collection 
commenced and the UCR Program has distributed hate 
crime Data Collection Guidelines and Training Guides to 
city, county, and state law enforcement agencies. Regional 
training sessions have been held across the Nation to assist 
state-level UCR Programs with implementation among 
their jurisdictions and to prepare state UCR personnel to 
train local law enforcement representatives within their 
respective states. Additional sessions are being held for 
local law enforcement, either in conjunction with their 
regular periodic UCR training or separately in FBI-spon- 
sored seminars dealing solely with bias crime reporting. 
Plans are currently underway for a hate crime "resource 
book," which will draw together all the data now being 
maintained at the state and local levels concerning the 



incidence of hate crimes. This publication will precede the 
FBI's first issuance of statistics gathered under the UCR 
hate crime collection. 

LAW ENFORCEMENT OFFICERS KILLED AND 
ASSAULTED— The UCR collection of data on law en- 
forcement officers killed and assaulted is being modified 
with the 1 99 1 reporting year. Data on officers slayings are 
being expanded to include more information about the 
circumstances at the scene, the interaction between the 
victim and assailant, the weapons used, etc. As an addition 
to the Program, information on serious assaults is going to 
be solicited. Data identical to those collected on officers 
killed are going to be requested on all assaults resulting in 
injury and during which a firearm or knife was used. The 
assault information will be solicited from all levels of law 



enforcement in a manner similar to the current practice 
concerning officers killed. Initial notification will, of 
course, be gleaned from the monthly reports on officers 
killed and assaulted submitted by all UCR contributors. 
CAMPUS CRIME— In 1990, the Crime Awareness and 
Campus Security Act was enacted into law. The Act 
requires that eligible educational institutions maintain 
certain crime and arrest data in accordance with UCR 
definitions. While there is no mandate that the data be 
reported to be FBI, institutions are to begin collection on 
September 1, 1991, and in September, 1992, commence 
annual "security reports." The FBI is working with the 
Department of Education to assist with the implementa- 
tion of the Act, supplying appropriate training materials 
and assistance. 



CRIME CLOCI^ 

1990 




one 

MURDER 

every 22 minutes 



FORCIBLE RAPE 



every 5 minutes 



one 

ROBBERY 

everv 49 seconds 



one 



one 



CRIME INDEX OFFENSE 

everv 2 seconds 



one 

PROPERTY CRIME 

every 2 seconds 



The crime clock siiould be viewed with care. Being the most aggregate 
reprcscntaiimi ot' LCR data, it is designed to convoy the annual reported 
crime evpericnce by showing the relative frequency ol occurrence of the 
Index Offenses. This mode of display siiould not be taken to imply a regu 
larily in the commission of the Part I Offenses: rather, it represents the an- 
nual ratio of crime U) fixed time iiiiLTsaK, 




AGGRAUATED ASSAUIT 

every 30 seconds 



one 

BURGLARY 

ever>' 10 seconds 



one 

LARCENY-THEFT 

evei^' 4 seconds 



one 

MOTOR VEHICLE THEFT 

cvcrv 19 seconds 



SECTION II 
CRIME INDEX OFFENSES REPORTED 

MURDER AND NONNEGLIGENT MANSLAUGHTER 
DEFINITION 



Murder and nonnegligent manslaughter, as defined in the Uniform ' Crime 
Reporting Program, is the willful (nonnegligent) killing of one human being by 
another. 

The classification of this offense, as for all other Crime Index offenses, is based 
solely on police investigation as opposed to the determination of a court, medical 
examiner, coroner, jury, or other judicial body. Not included in the count for this 
offense classification are deaths caused by negligence, suicide, or accident; justifiable 
homicides; and attempts to murder or assaults to murder, which are scored as 
aggravated assaults. 



TREND 



Year Number of offenses 

1989 21.500 

1990 23,438 

Percent change -\-9.0 



Rate per 100.000 
inhabitants 
8.7 
9.4 
+8.0 



Volume 

Reaching an all-time high during 1990, the total number 
of murders in the United States for the year was estimated 
at 23,438 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, 1986-1990 

[Percent of annual lotal) 



Months 



January 
February 

March 

April 

May 

June 

July 

August . . . 

September 

October 

November 

December 



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 



8.2 

7.2 
7.7 
7.7 
7.8 
7.7 
8.9 
9.5 
8.9 
8.9 
8.2 
9.2 



1989 



8.1 
7.1 
7,8 
7,9 
7,8 
8,2 
9,1 
9,0 
8,8 
8,9 
8.5 
8.7 



1990 



7.9 
7.0 
8.0 
7.4 
8.1 
8.4 
9.6 
9.3 
9.2 
8.8 
7.6 
8.8 



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 Northeastern States, 19 percent; and the 
Midwestern States, 18 percent. 

Trend 

The murder volume was up 9 percent nationwide in 
1990 over 1989. The Nation's cities overall experienced an 
increase of 1 1 percent, with upward trends recorded in all 
population groupings. Of the cities, those with populations 
under 10,000 registered the greatest increase, 19 percent. 
Suburban counties recorded a 5-percent rise, and the rural 
counties registered a 4-percent increase. 

All regions experienced more murders during 1990 than 
in 1989. The number of murders was up 1 1 percent in the 
West; 10 percent in both the Northeast and South; and 4 
percent in the Midwest. 



The accompanying chart reveals a 14-percent rise 
nationally in the murder counts from 1986 to 1990. The 
10-year trend showed the 1990 total 4 percent above the 
1981 level. 

Rate 

A murder rate of 9 per 1 00,000 inhabitants was regis- 
tered nationwide in 1990. Two-, 5-, and 10-year trends 
showed the 1990 rate was 8 percent higher than in 1989 
and 9 percent above the 1986 rate but 4 percent below the 
1981 rate. 

On a regional basis, the South averaged 1 2 murders per 
100,000 people; both the West and the Northeast, 9 per 
100,000; and the Midwest, 7 per 100,000. Compared to 
1989, murder rates in 1990 increased 10 percent in both 
the West and Northeast; 9 percent in the South; and 6 
percent in the Midwest. 

The Nation's metropolitan areas reported a 1990 murder 
rate of 11 victims per 100,000 inhabitants. In the rural 
counties, the rate was 6 per 100,000, and in cities outside 
metropolitan areas, the rate was 5 per 100,000. 

Nature 

Supplemental data provided by contributing agencies 
recorded information for 20,045 of the estimated 23,438 
murders in 1990. 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, 78 percent of the murder 
victims in 1990 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 49 of every 100 were black, 49 were 
white, and the remainder were persons of other races. 



Murder by Month 1990 

Variation from Monthly Average 



15 T 



10 



^ 5 -- 



O) 



bt 



O) 



-5 



10 



-15 - 



20 -^ 




Jan. Feb. IVIar. Apr. JVfay Jun. Jul. Ai^ Sept. Oct. Nov. Dec 




Murder 

Percent Change 
from 1986 



Number of Offenses 
Known - Up 14% 



Rale per 100.000 
Inhabitants - Up 9% 



1986 



1987 



1988 



1989 



1990 



Age, Sex, and Race of Murder Victims, 1990 





Total 


Sei 


Race 


Age 


Male 


Female 


Unknown 


White 


Black 


Other 


Unknown 


Total 


20,045 
100.0 


15,628 
78.0 


4,399 
21.9 


18 

.1 


9,724 
48.5 


9,744 
48.6 


345 

1.7 


232 




1 2 






Under 18' 


1,970 
17,769 


1,362 
14,038 


607 
3,729 


1 
2 


942 
8,646 


971 
8,650 


38 
304 


19 




169 








264 

317 

118 

270 

2,348 

3,472 

3,405 

2,773 

2,051 

1.400 

894 

586 

451 

422 

284 

234 

450 

306 


148 

176 

51 

162 

1,994 

2,923 

2,736 

2,140 

1,615 

1,108 

695 

469 

332 

322 

195 

129 

205 

228 


116 
140 

67 
108 
352 
549 
669 
633 
436 
292 
199 
117 
119 
100 

89 
105 
245 

63 




159 

169 

61 

138 

918 

1.485 

1.519 

1.307 

991 

774 

537 

358 

271 

261 

180 

167 

293 

136 


98 
136 
51 

125 

1,376 

1,911 

1,818 

1,386 

994 

575 

322 

206 

159 

152 

98 

61 

153 

123 


5 

10 
2 
7 
28 
52 
40 
53 
44 
29 

21 

17 

18 

5 

5 
5 
1 
3 


2 


1 to 4 


1 


2 


5 to 9 


4 


10 to 14 






15 to 19 


2 


26 


20 to 24 


24 


25 to 29 




28 


30 to 34 




27 


35 to 39 




22 


40 to 44 




22 


45 to 49 




14 


50 to 54 




5 


55 to 59 




3 






4 


65 to 69 




1 


70 to 74 




1 


75 and over 




3 




15 


44 







'Does not include unknown ages. 

Data based on incidents involving one victim and one 
offender showed that in 1990, 93 percent of the black 
murder victims were slain by black offenders, and 86 
percent of the white murder victims were killed by white 

Victim/Offender Relationship by Race and Sex, 1990 

[Single victim/single ofTender] 



offenders. Likewise, males were most often slain by males 
(85 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/ 
ofTenders 


OfTender 




Race 


Sex 




White 


Black 


Other 


Unknown 


Male 


Female 


Unknown 


White 


Race 


5,174 

5,279 

188 

81 


4,450 

305 

61 

18 


617 

4,934 

24 

19 


53 

7 

100 


54 

33 
3 

44 


4,559 

4,474 

163 

35 


561 

772 

22 

2 


54 


Black 


33 


Other 


3 




44 








Male 


Sej 


8,053 

2,588 

81 


3.463 

1.353 

18 


4,419 

1.156 

19 


107 
53 


M 
26 

44 


6,868 

2,328 

35 


1,121 

234 

2 


64 




26 


Unknown 


44 


Totals 


10,722 


4,834 


5,594 


160 


134 


9.231 


1.357 


134 



11 



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, 50 percent were by handguns, 6 percent by 
shotguns, and 4 percent by rifles. Other or unknown types 
of firearms accounted for another 5 percent of the total 
murders. Among the remaining weapons, cutting or stab- 
bing instruments were employed in 17 percent of the 
murders; blunt objects (clubs, hammers, etc.) in 5 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, 1990 

[Percent distribution by region] 



Murder Victims, Type of Weapons Used, 1986-1990 



Regkm 


Total 

all 

weapons' 


Firearms 


Cutting 

or 
stabbing 
instru- 
ments 


Unknown 
or other 
danger- 
ous wea- 
pons 


Personal 
weapons 


Total 


100.0 


64.1 


17.5 


12.9 


5 5 






Northeastern Sutes 

Midwestern States 

Southern States 


100.0 
100.0 
100.0 
100.0 


60.7 
63.4 
66.0 
64.2 


18.1 
17.1 
17.6 
17.0 


14.8 
13.2 
11.8 
12.9 


6.4 
6.3 
4 5 


Western States 


60 







Weapons 



Total 



Total Firearms 

Handguns 

Rines 

Shotguns 

Other guns 

Firearms-not stated 

Cutting or stabbing 

instruments 

Blunt objects (clubs, 

hammers, etc.) 

Personal weapons (hands, 

fists, feet, etc.)' 

Poison 

Explosives 

Fire 

Narcotics 

Drowning 

Strangulation 

Asphyxiation 

Other weapons or weapons 

not stated 



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 



'Pushed is included in personal weapons. 



1989 



18,954 



11,832 

9,013 

865 

1,173 

34 

747 

3,458 

1,128 

1,050 

II 

16 

234 

17 

60 

366 

101 

681 



1990 



20,045 



12,847 

9,923 

743 

1,237 

24 

920 

3,503 

1,075 

1,112 
11 
14 
287 
29 
36 
312 
96 

723 



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



Murder Victims — Weapons Used, 1990 





Total 


Weapons 


Age 


Fire- 
arm 


Cutting or 

stabbing 

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 stated 


Total 


20,045 
100.0 


12,847 
64.1 


3,503 
17.5 


1,075 
5.4 


1,112 

5.5 


II 
.1 


14 

.1 


287 
1.4 


29 
.1 


312 
1.6 


96 

.5 


759 


Percent 
distribution' 


3.8 


Under 18' 


1,970 
17,769 


1,077 
11,622 


178 
3,271 


75 
977 


355 

744 


10 


4 
10 


56 

223 


6 

23 


32 
277 


43 

52 


143 




560 






Infant (under 1) 

1 to 4 


264 

317 

118 

270 

2,348 

3,472 

3,405 

2,773 

2,051 

1,400 

894 

586 

451 

422 

284 

234 

450 

306 


13 

45 

40 

185 

1,879 

2,574 

2,371 

1,802 

1,270 

874 

572 

336 

227 

179 

125 

75 

132 

148 


4 

15 

20 

34 

258 

541 

602 

564 

429 

268 

154 

106 

111 

110 

74 

60 

99 

54 


15 

17 

6 

13 

54 

102 

131 

133 

124 

102 

59 

56 

47 

38 

29 

39 

87 

23 


147 

157 

15 

10 

45 

87 

105 

109 

101 

66 

50 

34 

24 

42 

22 

25 

60 

13 


2 

1 

3 


1 


5 

18 

15 

8 

26 

47 

36 

24 

25 

10 

8 

9 

9 

8 

7 

11 

13 

8 


2 


3 

3 

5 

5 

29 

35 

54 

53 

22 

14 

15 

10 

9 

18 

9 

7 

18 

3 


18 
14 
5 
3 
6 
5 
4 
3 
5 
3 
3 
6 
2 
3 
5 
3 
7 
1 


56 

48 


5 to 9 




1 

2 
2 
3 
7 
3 
1 
3 


11 


10 to 14 


3 

1 


7 


15 to 19 


47 


20 to 24 


79 


25 to 29 




99 


30 to 34 


2 


75 


35 to 39 


70 


40 to 44 


1 


61 


45 to 49 


29 


50 to 54 


3 
1 

1 


25 


55 to 59 


2 


19 


60 to 64 


23 


65 to 69 




12 


70 to 74 






14 




1 


2 


28 
56 


Unknown 



'Pushed IS included in personal weapons. 

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

'Does not include unknown ages. 



12 



Over half the murder victims in 1990 were related to (14 
percent) or acquainted with (37 percent) their assailants. 
Fourteen percent of the victims were murdered by stran- 
gers, while the relationships among victims and offenders 
were unknown for 35 percent of the murders. Among all 
female murder victims in 1990, 30 percent were slain by 
husbands or boyfriends. Four percent of the male victims 
were killed by wives or girlfriends. 



Arguments resulted in 34 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, 1990 

[Percent distribution] 



Victim 



Total 



Felony 
type 



Suspected 
felony type 



Romantic 

triangle 



Argument 
over money 
or property 



Other 

arguments 



Miscellaneous 

non-felony 

type 



Unable to 
determine 



Total' 



100.0 



100.0 



100.0 



100.0 



100.0 



100.0 



100.0 



Husband 

Wife 

Mother 

Father 

Daughter 

Son 

Brother 

Sister 

Other family 

Acquaintances 

Friend 

Boyfriend 

Girlfriend 

Neighbor 

Stranger 

Unknown relationship 



2.1 

4.3 

.6 

.8 

1.1 

1.6 

1.0 

.2 

1.9 

28.5 

4.3 

1.3 

2.2 

1.1 

14.4 

34.7 



.3 

.5 

.3 

.2 

.6 

.7 

.1 

.2 

1.2 

26.5 

3.4 

.1 

.3 

1.1 

29.3 

35.3 



1.4 
1.4 



2.7 
10.3 



1.4 

.7 



.2 
1.0 
I.O 



20.3 

.7 



1.4 



14.2 
58.1 



1.5 
53.8 
9.0 
3.2 
7.1 
1.2 
5.4 
3.4 



1.6 
1.6 

.2 
1.4 

.2 

.8 
3.1 

.2 
4.9 
55.9 
12.3 
1.0 
1.2 
2.7 
7.4 
5.7 



4.6 

7.1 

.7 

1.4 

.4 

1.0 

2.1 

.3 

3.3 

39.8 

6.5 

3.3 

4.3 

1.8 

12.0 

11.4 



1.9 

7.2 

1.2 

1.2 

3.8 

4.9 

.9 

.2 

1.9 

32.8 

4.3 

.9 

2.4 

1.0 

16.7 

18.5 



100.0 



.5 

1.6 

.3 

.2 

.3 

.5 

.3 

.1 

.6 

8.6 

1.0 

.1 

.9 

.1 

4.8 

80.1 



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



Murder Circumstances 


by Weapons, 1990 














Weapons 


Total 


Felony 
type 


Suspected 
felony 
type 


Romantic 
triangle 


Argument 
over money 
or property 


Other 
arguments 


Miscellaneous 

non-felony 

type 


Unable to 
determine 


Total . . . 


20,045 


4,111 


148 


407 


513 


5,993 


3,913 


4,960 








12,847 

3,503 

1.075 

1,112 
11 
14 
287 
29 
36 
312 
96 

723 


2,707 

567 

259 

179 

1 

5 

146 

7 

11 

90 

35 

104 


83 
23 

7 

9 

I 

1 


299 
79 
13 

10 

1 


341 

101 

36 

16 


3,701 

1,521 

276 

262 


2,515 
490 
187 

437 

4 

20 
14 
14 
46 
44 

141 


3,201 


Cutting or 

stabbing instruments 

Blunt objects 

(clubs, hammers, etc.) 

Personal weapons 

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


722 

297 

199 
3 




2 
100 


5 


Fire 






21 




2 

1 
3 

1 

17 






6 






5 


40 
3 

87 


8 


Strangulation 


2 


126 




13 


Other weapons 
or weapons not stated 


3 


12 


359 



'Pushed IS included in personal weapons. 



13 



Murder Circumstances, 1986-1990 

[Percent distribution] 



Total ... 
Percent' 



Felony total: 

Robbery 

Narcotics 

Sex offenses 

Arson 

Other felony 

Suspected felony 

Argument total: 

Romantic triangle . 
Property or inoney 
Other arguments ... 

Miscellaneous 

non-felony types' .. 

Unknown 



1986 



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 
100.0 



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 



1989 



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 



1990 



20,045 
100.0 



20.5 
9.2 
6.5 
1.1 
.8 
2.9 

.7 

34.5 
2.0 
2.6 

29.9 

19.5 

24.7 



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

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

Clearances 

The clearance rate for murder continued to be higher 
than for any other Crime Index offense. Law enforcement 
agencies nationwide were successful in clearing 67 percent 
of the murders occurring in their jurisdictions during 1990. 
Seventy-six percent of murders in rural counties, 68 
percent of those in suburban counties, and 66 percent of 
those in the Nation's cities were cleared. Cities with 
populations under 10,000 reported the most successful 
clearance rate, 78 percent. 



Geographically, the South, the most populous region, 
registered the highest murder clearance rate, 70 percent. 
Sixty-six percent of murders in the West and 65 percent in 
both the Midwest and Northeast were cleared. 

Persons under 1 8 years of age accounted for 8 percent of 
the willful killings cleared by law enforcement nationally, 
as well as in the Nation's cities during 1990. This propor- 
tion of juvenile involvement was lower than for any other 
Index offense. Seven percent of the suburban county and 5 
percent of the rural county clearances involved only 
persons in this young-age group. 

Persons Arrested 

Fifty-two percent of all murder arrestees in 1990 were 
under 25 years of age. The 18- to 24-year age group 
accounted for 38 percent of the total. 

Ninety percent of those arrested were male and 10 
percent, female. Blacks comprised 55 percent of the total 
arrestees for murder in 1 990. Whites made up 44 percent, 
and the remainder were of other races. 

Compared to the 1989 level, the 1990 murder arrest 
total increased 1 1 percent. Arrests of persons aged 1 8 and 
over increased 9 percent, and those of younger persons 
were up 26 percent. During the same 2-year period, male 
arrests increased 13 percent, while female arrests were 
down 3 percent. 

Long-term trends indicate the 1 990 murder arrest total 
was 23 percent above the 1986 level and 10 percent higher 
than the 1981 figure. 



14 



FORCIBLE RAPE 
_ DEFINITION _ 



Forcible rape, as defined in the Program, is the carnal knowledge of a female 
forcibly and against her will. Assaults or attempts to commit rape by force or threat 
of force are also included; however, statutory rape (without force) and other sex 
offenses are excluded. 



TREND 



Year Number of offenses 

1989 94,504 

1990 102.555 

Percent change +8.5 



Rate per 100.000 

inhabitants 

38.1 

41.2 

+8.1 



15 



Volume 

During 1990, there were an estimated 102,555 forcible 
rapes in the Nation. Rape offenses comprised 6 percent of 
the total violent crimes. Geographically, the Southern 
States, the region with the largest population, accounted 
for 38 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 14 
percent. 

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

Forcible Rape by Month, 1986-1990 

[Percent of annual total] 



Months 



January 
February . 

March 

April 

May 

June 

July 

August . . . 
September 
October . . 
November 
December 



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 



1990 



7.6 
6.7 
7.9 
8.1 
9.1 
9.0 
9.6 
9.4 
9.1 
8.4 
7.7 
7.4 



Trend 

Compared to the previous year, the 1990 forcible rape 
volume increased 9 percent nationwide. In the cities 
collectively, the total was also up 9 percent. The rural 
counties recorded a 7-percent increase and the suburban 
counties, a 10-percent rise. City trends ranged from a 4- 
percent increase in cities with populations of 1 million or 
more to a 14-percent increase in cities with under 10,000 
inhabitants. 

Geographically, all four regions reported higher forcible 
rape volumes in 1990 than in 1989. The increases were 1 1 
percent in the Southern States, 8 percent in both the 
Midwestern and Western States, and 2 percent in the 
Northeastern States. 

National trends for 5 and 10 years show that the forcible 
rape total rose 12 percent over 1986 and 24 percent above 
1981. 

Rate 

By Uniform Crime Reporting definition, the victims of 
forcible rape are always female. In 1 990, an estimated 80 of 
every 100,000 females in the country were reported rape 



victims, an increase of 8 percent from the 1989 rate. Since 
1986, the female forcible rape rate has risen 10 percent. 

Female forcible rape rates for 1990 showed there were 
89 victims per 100,000 females in MSAs, 64 per 100,000 
females in cities outside metropolitan areas, and 44 per 
100,000 females in rural counties. 

Regionally, the highest female rape rate was in the 
Southern States, which recorded 88 victims per 100,000 
females. Following were the Western States with a rate of 
87, the Midwestern States with 83, and the Northeastern 
States with 56. 

Nature 

Of all reported forcible rapes during 1 990, 84 percent 
were rapes by force. The remainder were attempts or 
assaults to commit forcible rape. A 10-percent increase was 
registered in the number of rapes by force, and a 1 -percent 
increase for attempts to commit rape. 

Clearances 

Nationwide, as well as in the cities and suburban 
counties, 53 percent of the forcible rapes reported to law 
enforcement were cleared by arrest or exceptional means in 
1990. Rural county law enforcement agencies cleared 54 
percent of the offenses brought to their attention. 

Clearance rates for the regions ranged from 47 percent in 
the Midwestern States to 58 percent in the Southern States. 
In the Northeastern States, the clearance rate for forcible 
rape was 53 percent, and in the Western States, it was 50 
percent. 

Of the total clearances for forcible rape in the country as 
a whole, 1 2 percent involved only persons under 1 8 years 
of age. Rural counties recorded a 1 3-percent involvement 
of this age group, while 17 percent was recorded in 
suburban counties. In the Nation's cities, only persons 
under age 1 8 accounted for 1 1 percent of the forcible rape 
clearances. 

Persons Arrested 

The number of arrests for forcible rape rose 8 percent 
nationwide and in the Nation's cities and suburban coun- 
ties from 1989 to 1990. Arrests for this offense rose 6 
percent in the rural counties. For the 5-year period, 1986 to 
1 990, total forcible rape arrests increased 9 percent nation- 
wide. Those of adults and of persons under 1 8 years of age 
increased 10 percent and 3 percent, respectively. 

Of the forcible rape arrestees in 1 990, 44 percent were 
persons under the age of 25, with 29 percent of the total 
being in the 1 8- to 24-year age group. Fifty-five percent of 
those arrested were white, 43 percent were black, and the 
remainder, other races. 



16 



c 



Forcible Rape by Month 1990 

Variation from Montiiiy Averase 




Jan. Feb. Man Apr. IVIay Jun. Jul. Aug. Sept. Oct. Nov. Dec. 





12 








10 


/p 


Forcible 




8 ■ 


/ / 


Rape 




6 ■ 
4 • 


// 


Percent Change 
from 1986 




" Number of Offenses 




2 • 


_-*""■''''''!-□ 


Known -Up 129'f 






OE 


^^^•"""""'O'^ 


■ Rate per 100.000 
InhiibilanlN - Up 9*7^ 




-1 -1 
19 


86 1987 1988 1989 1990 







17 



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. 





TBFlVn 








Rate per 100,000 


Year 


Number of offenses 


inhabitants 


1989 


578,326 


233.0 


1990 


639,271 


257.0 


Percent change 


+10.5 


+10.3 







18 



Volume 

Accounting for 4 percent of all Index crimes and 35 
percent of the violent crimes in 1990, robbery was estimat- 
ed at 639,271 offenses for the year. Robberies occurred 
most frequently in December and least often in April 
during 1990. 

Robbery by Month, 1986-1990 

[Percent of annual total] 



Months 



January 
February 

March 

April 

May 

June 

July 

August . . . 

September 

October 

November 

December 



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 



7.4 
8.0 
7.3 
7.6 
7.6 
8.4 
8.6 
8.6 
9.2 
9.0 
9.3 



1990 



8.7 
7.3 
8.1 
7.2 
7.7 
7.8 
8.5 
8.8 
8.6 
8.9 
8.7 
9.6 



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 22 percent, and 
the Midwestern States with the remainder. 

Trend 

Nationally, the 1 990 robbery volume was 1 1 percent 
higher than the 1989 level. In the Nation's cities overall, 
robbery jumped 12 percent, the greatest increase being in 
those with populations of 500,000-999,999, 19 percent. 
The suburban counties experienced a 6-percent increase, 
while the rural counties recorded the only decline, 1 
percent. 

Two-year trends show the number of robberies in 1990 
was up in all four regions as compared to 1989. The 
increases were 9 percent in both the Northeast and the 
South, 11 percent in the Midwest, and 14 percent in the 
West. 

The accompanying chart depicts the trend in the robbery 
volume, as well as the robbery rate, for the years 1986- 
1990. In 1990, the number of robbery offenses was 18 
percent higher than in 1986 and 8 percent above the 1981 
total. 



Rate 

The national robbery rate in 1990 was 257 per 100,000 
people, 10 percent higher than in 1989. In metropolitan 
areas, the robbery rate was 322; in cities outside metropoli- 
tan areas, it was 63; and in the rural areas, it was 16. With 
1,139 robberies per 100,000 inhabitants, the highest rate 
was recorded in cities with a million or more inhabitants. 

A comparison of 1989 and 1990 regional rates per 
100,000 inhabitants showed the rates of 199 in the 
Midwest and 263 in the West were each up 12 percent. The 
rates were 237 in the South and 353 in the Northeast, both 
up 9 percent from 1989. 

Nature 

In 1990, a total estimated national loss of $501 million 
was due to robberies. The value of property stolen during 
robberies averaged $783 per incident. Average dollar losses 
ranged from $341 taken during robberies of convenience 
stores to $3,244 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 (56 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 1989 to 1990. The increases ranged 
from 4 percent for convenience store robberies to 18 
percent for bank robberies. 

Robbery, Percent Distribution, 1990 

(By region] 





United 
States 
Total 


North- 
eastern 
Suies 


Mid- 
western 
States 


Southern 
States 


Western 
States 


Total' 


100.0 


100.0 


100.0 


100.0 


100.0 






Street/hiahwav 


56.1 
11.5 
2.7 
6.1 
9.8 
1.5 
12.4 


64.7 
8.6 
2.4 
2.0 
9.4 
.9 

12.0 


58.9 
9.8 
3.4 
3.7 
8.9 
1.0 

14.3 


49.1 
13.0 

2.8 
11.2 
11.9 

1.3 
10.7 


52.8 


Commercial house 

Gas or service station . . . 
Convenience store 


14.2 
2.5 
5.9 
8.0 


Bank 


2.8 




13.7 







'Because of rounding, perccnlages may not add lo lolals. 



19 



Robbery by Month 1990 

Variation from Montiiiy Averase 



c 




Jan. Feb. IVIar. Apr. IVtay Juii. Jul. Ai^ Sept. Oct. Nov. Oec. 







Robbery 

Percent Change 
from 1986 



Number of Offenses 
Known -Up 18% 



Rale per 100,000 
Inhabilants - Up 14% 



1990 



20 



Robbery* Percent Distribution, 1990 

[By population group] 





Group I (60 

cities, 250,000 

and over. 

population 

43,250.000) 


Group 11 (125 
cities. 100,000 to 
249,999; popula- 
tion 18.180.000) 


Group III (332 
cities, 50.000 to 
99.999; popula- 
tion 22.598,000) 


Group IV (656 
cities, 25,000 to 
49.999; popula- 
tion 22,731,000) 


Group V (1.541 
cities. 10.000 to 
24.999; popula- 
tion 24.329.000) 


Group VI (6.310 
cities under 
10,000; popula- 
tion 21,954,000) 


County 

agencies 

(3,860 agencies; 

population 

74,089,000) 


Total' 


100.0 


100.0 


100.0 


100.0 


100.0 


100.0 


100.0 








63.3 
9.7 
2.0 
3.« 
9.0 
1.0 

11.5 


55.2 
12.4 
2.8 
7.3 
9.9 
1.8 
10.7 


48.9 
14.1 
3.5 
8.3 
9.1 
2.3 
13.9 


44.5 

14.6 
4.1 
9.3 

10.2 
2.6 

14.8 


37.4 
15.3 

5.4 
11.4 
11.2 

2.5 
16.8 


30.4 
15.9 

4.9 
13.6 
11.3 

2.6 
21.3 


35.4 




15.7 


Gas or service station 


4.8 
13.3 




14.1 


Bank 


2.4 




14.2 







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

Forty-two percent of all robberies in 1990 were commit- 
ted through the use of strong-arm tactics. Firearms were 
used in 37 percent, knives or cutting instruments in 12 
percent, and other weapons in the remainder. A compari- 
son of 1989 and 1990 robbery totals by weapon showed 
those by firearms were up 22 percent; those by strong-arm 
tactics rose 8 percent; and those by knives or cutting 
instruments and other dangerous weapons increased 2 
percent. 

Robbery, Type of Weapons Used, 1990 

[Percent disiribulion by region] 





Total 

all 

weapons' 


Armed 




Region 


Fire- 
arms 


Knives or 
cutting 
instru- 
ments 


Other 

weapons 


Strong- 
armed 


Total 


100.0 


36.6 


12.0 


9.5 


41.9 






Northeastern States . . . . 

Midwestern States 

Southern States 


100.0 
100.0 
100.0 
100.0 


31.8 
38.9 
41.7 
33.9 


15.3 
8.9 
9.7 

13.2 


9.4 
10.3 
9.9 

8.7 


43.5 
41.9 
38.8 




44.1 







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

Clearances 

Twenty-five percent of the robbery offenses reported to 
law enforcement were cleared during 1990. The highest 
robbery clearance rate — 37 percent — was registered by 
rural county law enforcement agencies. Suburban county 



agencies cleared 29 percent and those in cities, 24 percent. 
Regional robbery clearance percentages were 28 percent in 
the South, 27 percent in the West, 23 percent in the 
Northeast, and 20 percent in the Midwest. 

Nationally and in cities, persons under the age of 18 
were the offenders in 14 percent of all 1990 robbery 
clearances. This age group accounted for 1 7 percent of the 
suburban county clearances and 10 percent of the rural 
county clearances. 

Persons Arrested 

Arrests for robbery rose 1 1 percent nationwide during 
1990 when compared to 1989. For the same 2-year period, 
increases in the number of persons arrested for robbery 
were 12 percent in the cities collectively and 5 percent in 
the suburban counties. In the rural counties, robbery 
arrests decreased 6 percent. 

Sixty-two percent of all robbery arrestees in 1 990 were 
under 25 years of age, and 92 percent were males. Sixty- 
one percent of those arrested were black, 38 percent were 
white, and the remainder were of other races. 

The total number of robbery arrests was up 19 percent 
during the 5-year period, 1986-1990. For the same time- 
span, arrests of females for robbery jumped 27 percent, 
and male arrests increased 18 percent. Juvenile arrests rose 
23 percent, and those of persons 18 years of age and older 
increased 18 percent. 



21 



street Robbery 


25 




FonxBtigD QmcD uUdu 1986 

up2r« 




20 






A 




Percent 






r 




V 


■^^ ' 




\y^ 




•5 


"" 


~-^\ 


^--^ 




-10 
] 


986 


1987 1988 1989 


1990 



Robbery of Commercial House 



16 



12 



S 8 



a. * ■ 



Perceotige Chnce frora 1986 



Up 16% 





1986 1987 



1988 



1989 1990 



Robbery of Gas Station 




e 

w 
u 

EU 



Robbery of Convenience Store 



30 
25 ■ 
20 
IS 
10 

5 





1986 



■Of 



bom 1986 




1987 



1988 



1989 



1990 



B 



Robbery of Residence 



Pereoitagc Ouaie from 1986 
NoChuge 




1989 



1990 







E 


lank Robbery 
















40 r 


Porcectage Ottnge from l^ 




3B 






A 




30 




A 


f 




u 20 

0- 15 












10 














s 


^^ 


-^^ 



















1986 


1987 1988 1989 


'"^ 4 



22 



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 

1989 951.707 

1990 1,054.863 

Percent change +10.8 



Rate per 100.000 

inhabitants 

383.4 

424.1 

+ 10.6 



23 



Volume 

Totaling an estimated 1,054,863 offenses nationally, 
aggravated assaults in 1990 accounted for 58 percent of the 
violent crimes. Geographic distribution figures show that 
38 percent of the aggravated assault volume was accounted 
for by the South, 25 percent by the West, 20 percent by the 
Midwest, and 18 percent by the Northeast. 

The 1 990 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, 1986-1990 

[Percent of annual total] 



Months 



January 
February 

March 

April 

May 

June 

July 

August . . . 

September 

October 

November 

December 



1986 



6.8 

6.3 

8.0 

8.1 

9.1 

9.7 

10.0 

10.0 

8.8 

8.3 

7.6 

7.4 



1987 



7.3 
7.0 
7.8 
8.1 
8.9 
8.9 
9.5 
9.5 
8.7 
8.5 
7.9 
7,8 



1988 



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



1989 



7.5 
6.6 
7.9 
8.1 
8.9 
8.9 
9.6 
9.2 
8.8 
9.1 
7.9 
7.5 



1990 



7.4 
6.7 
7.8 
8.2 
9.0 
9.4 
10. 1 
9.3 
8.9 
8.3 
7.4 
7.5 



Trend 

In 1 990, aggravated assaults were up 1 1 percent nation- 
wide. Upswings in volume were evident in all regions and 
population groups as well, 1990 versus 1989. All cities 
collectively recorded a 10-percent increase, with cities of 
populations from 50,000 to 99,999 recording the greatest 
rise, 17 percent. The suburban counties registered an 8- 
percent increase and the rural counties, a 9-percent rise for 
the 2-year period. 

During the same time period, the South registered a 16- 
percent upswing in its aggravated assault volume, and the 
Midwest, a 12-percent rise. Increases of 7 and 5 percent 
were recorded in the West and Northeast, respectively. 

Five- and 10-year trends show aggravated assaults up 26 
percent above the 1986 level and 59 percent over the 1981 
experience. 

Rate 

Up 11 percent above the 1989 rate, there were 424 
reported victims of aggravated assault for every 100,000 



people nationwide in 1990. The rate was 23 percent higher 
than in 1986 and 46 percent above the 1981 rate. 

Higher than the national average, the rate in metropoli- 
tan areas was 478 per 100,000 in 1990. Cities outside 
metropolitan areas experienced a rate of 357, and rural 
counties, a rate of 163. 

Regionally, the aggravated assault rates ranged from 49 1 
per 100,000 people in the West to 346 per 100,000 in the 
Midwest. The rate in the South for 1990 was 472, and in 
the Northeast, 366. Aggravated assauh rates rose in all 
geographic regions in 1990 over 1989. The increases were 
16 percent in the South, 13 percent in the Midwest, 5 
percent in the West, and 4 percent in the Northeast. 

Nature 

In 1990, 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 26 percent of the 
offenses; firearms in 23 percent; and knives or cutting 
instruments in the remainder. 

Assaults with firearms showed the greatest increase from 
1989 to 1990, 14 percent. Those committed with personal 
weapons and with knives or cutting instruments were each 
up 7 percent, and those involving blunt objects or other 
dangerous weapons increased 10 percent. 

Aggravated Assault, Type of Weapons Used, 1990 

(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 


23.1 


19.5 


31.9 


25 5 






Northeastern States 


100.0 
100.0 
100.0 
100.0 


17.4 
25.6 
26.4 
20.6 


22.6 
19.7 
21.0 
15.3 


34.0 
34.1 
31.4 
29.6 


26.1 
20 5 




21.3 


Western States 


34 5 







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



24 



Ass>'avatecl Assault by Month 1990 

Variation from Monthly Average 



u 




Jan. Feb. IVIar: A.pr. IVIay Jun. Jul. Au^ Sept- Oct. Nov. Dec 



C 

U 

PU 




Assravated 
Assault 

Percent Change 
from 1986 



Number of Oftenscs 
Known - Up 26% 



Rale per UK).()00 
Inhabilanls - Up 2V/c 



1986 



1987 



1988 



1989 



1990 



25 



Clearances 

During 1990, 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 61 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 61 percent in the Western States, 59 percent in the 
Southern States, 54 percent in the Northeastern States, and 
53 percent in the Midwestern States. 

Ten percent of the clearances reported nationally and in 
cities involved only persons under age 18. Persons in this 
age group were identified as the assailants in 1 1 percent of 
the suburban county clearances and 7 percent of those in 
rural counties. 



Persons Arrested 

The estimated 475,330 persons arrested for aggravated 
assault in 1 990 represented two-thirds of all arrestees for 
violent crimes. Whites comprised 60 percent of the ar- 
restees; blacks, 38 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 
assauh were up 12 percent in 1990 from the 1989 total. 
During this 2-year period, arrests of persons under age 1 8 
increased 16 percent. A comparison of 1986 and 1990 
figures showed increases of 43 percent for total arrests, 49 
percent for juvenile arrests, and 42 percent for adult 
arrests. 



26 



BURGLARY 
DEFINITION 



The Uniform Crime Reporting Program defines burglary as the unlawful entry of a 
structure to commit a felony or theft. The use of force to gain entry is not required to 
classify an offense as burglary. Burglary in this Program is categorized into three 
subclassifications: forcible entry, unlawful entry where no force is used, and 
attempted forcible entry. 



TREND 



Year Number of offenses 

1989 3.168.170 

1990 3.073.909 

Percent change —3.0 



Rate per 100.000 

inhabitants 

1.276.3 

1.235.9 

-3.2 



27 



Volume 

An estimated 3,073,909 burglaries occurred in the 
United States during 1990. These offenses accounted for 
2 1 percent of the total Crime Index and 24 percent of the 
property crimes. 

Distribution figures for the regions showed that the 
highest burglary volume occurred in the most populous 
Southern States, accounting for 42 percent of the total. The 
Western States followed with 22 percent, the Midwestern 
States with 19 percent, and the Northeastern States with 17 
percent. 

As in previous years, more burglaries occurred in August 
than any other month. The lowest number was reported in 
February. 

Burglary by Month, 1986-1990 

[Percent of annual total] 



Months 



January 
February 
March . . . . 

April 

May 

June 

July 

August . . . 

September 

October 

November 

December 



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 
8.8 



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 



1990 



8.8 
7.5 
8.1 
7.8 
8.1 
7.9 
8.9 
9.0 
8.3 
8.5 
8.3 
8.7 



Trend 

Nationwide, the burglary volume decreased 3 percent in 
1990 from the 1989 total. By population, decreases were 
registered in all city groupings with the greatest decline in 
cities of 250,000-499,999 in population, 7 percent. 

Geographically, three of the four regions of the United 
States reported decreases in burglaries during 1990 as 
compared to 1989. The declines equaled 4 percent in the 
Western, Midwestern, and Southern States. The only 
increase in burglary volume occurred in the Northeastern 
States with a 1 -percent rise. 

Longer term trends show burglary down 5 percent from 
the 1986 volume and 19 percent below the 1981 level. 

Rate 

A burglary rate of 1,236 per 100,000 inhabitants was 
registered nationwide in 1990. The rate fell 3 percent from 
1989 and was 25 percent below the 1981 rate. In 1990, for 



every 100,000 in population, the rate was 1,356 in the 
metropolitan areas, 1,053 in the cities outside metropoli- 
tan areas, and 671 in the rural counties. 

Regionally, the burglary rate was 1 ,498 in the Southern 
States, 1,304 in the Western States, 1,020 in the Northeast- 
em States, and 983 in the Midwestern States. A compari- 
son of 1989 and 1990 rates showed decreases of 6 percent 
in the West, 4 percent in the South, and 3 percent in the 
Midwest. A 1-percent increase was reported in the North- 
east. 

Nature 

Two of every 3 burglaries in 1 990 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 were evenly divided 
between day and night. 

Burglary victims suffered losses estimated at $3.5 billion 
in 1990, and the average dollar loss per burglary was 
$1,133. The average loss for residential offenses was 
$1,143, while for nonresidential property, it was $1,110. 

Both residential and nonresidential burglaries showed 
declines from 1989 to 1990, 4 and 3 percent, respectively. 

Clearances 

Geographically, 14 percent of the burglaries brought to 
the attention of law enforcement agencies across the 
country were cleared in 1990. In the South, the clearance 
rate was 1 5 percent; in the West and Northeast, 1 3 percent; 
and in the Midwest, 12 percent. 

Rural county law enforcement cleared 1 6 percent of the 
burglaries in their jurisdictions. Agencies in suburban 
counties cleared 14 percent, and in cities, 13 percent. 

Adults were involved in 81 percent of all burglary 
offenses cleared, and only young people under 1 8 years of 
age were offenders in the remaining 1 9 percent. Similar to 
the national experience, persons under age 18 accounted 
for 1 9 percent of the burglary clearances in cities. Rural 
county law enforcement agencies reported 20 percent of 
their burglary clearances involved only juveniles, while 
suburban county agencies registered 21 percent. The 
highest degree of juvenile involvement was recorded in the 
Nation's smallest cities (under 10,000 in population) where 
young persons under 18 years of age accounted for 26 
percent of the clearances. 



28 



Burslary by Month 1990 

Variation from Monthly Averasc 



u 



•Ift ^ 




Ji»n. Feb. TVIan Apr. May Jun. Jul. Aii«j. Sept. Oct. IS'ov. Oce- 



C 




Burglary 

Percent Chanse 
from 1986 



Number of Offenses 
Known - Down 5% 



Rate per lOO.OOO 
Inhabitants - Down H',i 



1986 



1987 



1988 



1989 



1990 



29 



Residence Burslary-Nishttime 



fmotaump Cbmap bom IWW 
Damn* 




1999 



Residence Bursiary-Daytime 



Pm e utt gB Ouage ftom 1986 
DowbM 






8 p 

6 . 

4 . 

2 - 

- 

-2 - 

-4 - 

-« - 

-« - 

-10 - 




1986 



1J»7 



1988 



1989 



1990 



Nonresidence Bursiary-Daytime 


14 


Pwctttfiflfi vSmsB ntxB 1986 
Up 6* 


12 


^^^^^^ 


Percent 


y^^^S 




i; 


4 


/ 








2 

























1986 1987 1988 1989 1990 



Nonresidence Burgiary-Nishttime 




PBoesixo OuBge tram 1986 
Dovno% 





k 






-1 


L 




s -2 


^ 




Ol 






£i -3 








<s ^ 




i 




-4 




/-' ^\ 




-5 




/ \^^ 




-6 




/ \ 




198« 1987 1988 1989 1990 



30 



Persons Arrested virtually no change, while those for adults declined 3 

In the UCR Program, several persons may be arrested in Percent. For the same 2-year time period, total burglary 

connection with the clearance of one crime, or the arrest of arrests declined 1 percent in cities, 6 percent in suburban 

one individual may clear numerous offenses. The latter is counties, and 5 percent in the rural counties, 

often true in cases of burglary for which an estimated Ninety-one percent of the burglary arrestees during 1990 

432,600 arrests were made in 1990. Arrest trends between ^^''^ "^^'^^ and 65 percent were under 25 years of age. Of 

1989 and 1990 show a 2-percent decrease in total burglary '^^ ^°^^' burglary arrestees, whites accounted for 68 

arrests. Arrests of persons under 18 years of age showed Percent, blacks for 30 percent, and other races for the 

remainder. 



31 



LARCENY-THEFT 



DEFINITION 



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



TREND 



Year Number of offenses 

1989 7,872.442 

1990 7,945.670 

Percent change + .9 



Rale per 100.000 

inhabitants 

3.171.3 

3,194.8 

+ .7 



32 



Volume 

Estimated at nearly 8 million ofTenses during 1990, 
larceny-thefts comprised 55 percent of the Crime Index 
total and 63 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 and Midwestern States each registered 23 percent; 
and the Northeastern States, 17 percent. 

Larceny-Theft by Month, 1986-1990 

[Percent of annual total] 



Months 



January 
February 

March 

April 

May 

June 

July 

August . . . 

September 

October 

November 

E)ecember 



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 
8.2 
8.3 



1989 



8.0 

7.2 
8.2 
8.0 
8.6 
8.7 
9.2 
9.5 
8.3 
8.6 
8.0 
7.7 



1990 



8.2 
7.4 
8.2 
7.9 
8.3 
8.3 
8.9 
9.1 
8.2 
8.7 
8.1 
8.4 



Trend 

Compared to 1989, the 1990 volume of larceny-thefts 
increased 1 percent in the Nation and less than 1 percent in 
all cities collectively. The suburban and rural counties 
showed increases of 2 percent and 3 percent, respectively. 

Regionally, volume upswings of 2 percent were recorded 
in both the Midwestern and the Southern States. The 
Northeastern States showed a 1 -percent increase, while the 
Western States registered a 1 -percent decline. 

The 5- and 10-year national trends indicated larceny was 
up 9 percent over the 1986 total and rose 10 percent above 
the 1981 level. 

Rate 

The 1990 larceny-theft rate was 3,195 per 100,000 
United States inhabitants. The 1990 rate was 1 percent 
higher than in 1989, 6 percent above the 1986 level, and 2 
percent above the 1981 level. The 1990 rate was 3,533 per 
100,000 inhabitants of metropolitan areas; 3,559 per 
100,000 population in cities outside metropolitan areas; 
and 1,024 per 100,000 people in the rural counties. 

Regionally, the rates of 3,471 in the South and 3,024 in 
the Midwest were up 2 and 3 percent, respectively, over 
1989 levels. The Northeast's 1990 rate of 2,598 per 



100,000 inhabitants was up less than 1 percent, while the 
rate per 100,000 inhabitants in the West, 3,515, was 3 
percent lower than the year before. 

Nature 

During 1990, the average value of property stolen due to 
larceny-theft was $480, up from $462 in 1989. When the 
average value was applied to the estimated number of 
larceny-thefts, the loss to victims nationally was $3.8 
billion for the year. This estimated dollar loss is considered 
conservative since many offenses in the larceny category, 
particularly if the value of the stolen goods is small, never 
come to law enforcement attention. Losses in 24 percent of 
the thefts reported to law enforcement in 1990 ranged from 
$50 to $200, while in 36 percent, they were over $200. 

Losses of goods and property reported stolen as a result 
of potket-picking averaged $355; purse-snatching, $278; 
and shoplifting, $115. Thefts from buildings resulted in an 
average loss of $791; from motor vehicles, $541; and from 
coin-operated machines, $147. The average value loss due 
to thefts of motor vehicle accessories was $319 and for 
thefts of bicycles, $215. 

Thefts of motor vehicle parts, accessories, and contents 
made up the largest portion of reported larcenies-37 
percent. Also contributing to the high volume of thefts 
were shoplifting, accounting for 16 percent; thefts from 
buildings, 14 percent; and bicycle thefts, 6 percent. The 
remainder were distributed among pocket-picking, purse- 
snatching, thefts from coin-operated machines, and all 
other types of larceny-thefts. The accompanying table 
presents the distribution of larceny-theft by type and 
geographic region. 

Larceny Analysis by Region, 1990 

[Percent distribution] 





United 
States 
Total 


North- 
eastern 

States 


Mid- 
western 
States 


Southern 
States 


Western 
States 


Total' 


100.0 


100.0 


100.0 


100.0 


100.0 








1.0 

1.0 

16.2 

22.0 

14.9 
5.6 

14.1 

.8 
24.4 


3.6 
2.1 
13.6 

22.8 

15.1 

5.7 
18.5 

1.2 
17.5 


.7 

1.0 

13.6 

18.8 

15.0 
5.1 
19.0 

.6 
26.1 


.4 

.8 

16.8 

19.7 

16.4 
4.6 
10.5 

.8 

29.9 


.5 




.7 


Shoplining 


19.6 


From motor vehicles 
(except accessories) .... 

Motor vehicle 
accessories 


27.6 
12.4 




7.4 




12.0 


From coin-operated 


.6 


All others 


19.2 







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



33 






4> 



Larceny-Theft by Month 1990 

Variation from Monthly Averase 



15 r 





•15 *• 



Jan. Feb. iVIan Apr. IVtay Jun, Jul. Axt^ Sept. Oct. Nov. Oec 



G 




Larceny- 
Theft 

Percent Change 
from 1986 



Number of Offenses 
Known - Up 9% 



Rale per lOO.WX) 
Inhabitants - Up (iVr 



mi 



1988 



1989 



1990 



34 



Clearances 

Twenty percent of the reported larceny-thefts were 
cleared nationwide during 1990. 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. Both the suburban 
and rural counties recorded 18-percent clearance rates. 

In 1990, law enforcement agencies in the Western States 
cleared 22 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-two percent of the larceny-theft clearances na- 
tionally involved only offenders under 18 years of age. 
Twenty-three percent of those in the cities and in suburban 
counties and 18 percent of those in rural counties were 
accounted for by persons in this age group. 

Persons Arrested 

Between 1989 and 1990, the total number of persons 
arrested for larceny-theft increased 3 percent. Male arrests 



were up 1 percent and those of females, up 6 percent. 
During this same period, adult arrests were up 2 percent, 
and those of persons under 1 8 years of age increased 4 
percent. 

Considering a longer timeframe, larceny-theft arrests 
rose 12 percent for the 5-year period, 1986-1990. Those of 
adults were up 16 percent, and of juveniles up 4 percent. 
During this 5-year timespan, male and female arrests rose 
10 and 16 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 70 percent of those for property crimes in 1990. 
Forty-four percent of the larceny arrests were of persons 
under 2 1 years of age, and 30 percent of the arrestees were 
under 18. Females, who were arrested for this offense more 
often than for any other in 1990, comprised 32 percent of 
all larceny-theft arrestees. 

Whites accounted for 67 percent of the total larceny- 
theft arrestees, blacks for 30 percent, and all other races for 
the remainder. 



35 



Pocket-Pickins 




e 
<u 



Piirse-Snatchins 




15W6 



1987 1988 1989 1990 



C 
w 
<u 

a, 



Shopliftins 



25 




Perocotige Oh«n« ftom 1986 




20 
15 


^^^1 


10 


^-'■"^ 




S 













^.. 









Theft from Motor Vehicles 



1986 



1987 



1988 



1989 



liWO 




Theft of Motor Vehicle Accessories 



e 

u 



dtnue fioa 1986 
0cm 3« 




1986 



1987 



1988 



1989 



1990 



-20 l- 
1986 



Theft of Bicycles 



Pctceotege^nge firoa 1986 




1987 1988 1989 1990 



Theft from Buildinss 


2 


I^en(al•(e Cbnge (ram 1986 
NoOxnte 




Percent 










-1 






-2 






19 


8« 1987 1988 1989 


1990 



u 



■w 9 

B 

0. 



3 • 



Theft from Coin Machines 



PuMnU fe Ch»age from 1986 
NoClinge 



1986 



1987 1988 1989 1990 



36 



LARCENY-THEFT 

Percent Distribution by lype of Theft 

1990 




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

Shoplifting 16% 

Bicycles 6% 



From Motor Vehicles 22% 



From Buildings 14% 



Motor Vehicle 
Accessories 15% 



All Others 24% 



37 



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 

1989 1.564,800 

1990 1,635,907 

Percent change +4.5 



Rate per 100,000 

inhabitants 

630.4 

657.8 

+4.3 



38 



Volume 

An estimated total of 1,635,907 thefts of motor vehicles 
occurred in the United States during 1990. These offenses 
comprised 1 3 percent of all property crimes. The regional 
distribution of motor vehicle thefts showed 3 1 percent of 
the volume was in the Southern States, 25 percent each in 
the Western and Northeastern States, and 1 8 percent in the 
Midwestern States. 

The 1990 monthly figures show that the greatest num- 
bers of motor vehicle thefts were recorded during the 
months of July, August, and October, while the lowest 
count was in February. 

Motor Vehicle Theft by Month, 1986-1990 

[Percent of annual total) 



Months 



January 
February 

March 

April 

May 

June 

July 

August . . . 
September 
October . . 
November 
December 



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 



1990 



8.5 
7.6 
8.4 
7.9 
8.1 
8.1 
8.8 
8.8 
8.4 
8.8 
8.3 
8.4 



Trend 

The number of motor vehicle thefts increased 5 percent 
nationally from 1989 to 1990. This upward trend was 
evident in all city population groupings with those having 
populations of 500,000 to 999,999 showing the largest 
increase, 1 1 percent. The rural counties showed an increase 
of 3 percent, while the suburban counties recorded a 
decline of less than 1 percent. 

Geographically, all four regions experienced motor vehi- 
cle theft increases. The increases were 6 percent in the 
Northeastern Region, 5 percent in the Midwestern Region, 
4 percent in the Southern Region, and 2 percent in the 
Western Region. 

The accompanying chart shows that the volume of 
motor vehicle thefts in 1990 increased 34 percent over the 
1986 volume. 

Rate 

The 1990 national motor vehicle theft rate — 658 per 
100,000 people — was 4 percent higher than the rate in 



1989. The rate was 30 percent higher than in 1986 and 39 
percent above the 1981 rate. 

For every 100,000 inhabitants living in MSAs, there 
were 801 motor vehicle thefts reported in 1990. The rate in 
cities outside metropolitan areas (other cities) was 232 and 
in rural counties, 121. 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 1990 motor vehicle theft 
rate was 1,693. The Nation's smallest cities, those with 
fewer than 10,000 inhabitants, recorded a rate of 257 per 
100,000. 

Among the regions, the motor vehicle theft rates ranged 
from 818 per 100,000 people in the Northeastern States to 
501 in the Midwestern States. The Western States' rate was 
778 and the Southern States' rate, 598. All regions regis- 
tered rate increases from 1989 to 1990. In both the 
Northeastern and Midwestern States, the increase was 6 
percent; in the Southern States, 4 percent; and in the 
Western States, less than 1 percent. 

An estimated average of 1 of every 1 1 9 registered motor 
vehicles was stolen nationwide during 1990. Regionally, 
this rate was greatest in the Northeast where 1 of every 82 
motor vehicles registered was stolen. The other three 
regions reported lesser rates — 1 per 105 in the West, 1 per 
135 in the South, and 1 per 163 in the Midwest. 

Nature 

During 1990, the estimated value of motor vehicles 
stolen nationwide was over $8 billion. At the time of theft, 
the average value per vehicle stolen was $5,032. 

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

Motor Vehicle Theft, 1990 

(Percent distribution by region] 



Region 


Total' 


Autos 


Trucks 
and 
buses 


Other 
vehicles 


Total 


100.0 


79.7 


14.5 


5 8 






Northeastern States 

Midwestern States 

Southern States 


100.0 
100.0 
100.0 
100.0 


92.7 
84.3 
74.9 
69.9 


4.4 
9.9 
18.5 

22.7 


2.9 
5.8 
6 6 


Western States 


7 4 







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



39 



Motor Vehicle Theft by Month 1990 

Variation from Monthly Average 



S 2 "I 



O) 




Jtin. Feb. IVIan Apr. IVIay .Jun. Jul. Ai^;. Sept- Oct. Nov, T>ec. 







Motor 

Vehicle 

Theft 

Percent Change 
from 1986 



Number of Offenses 
Known - Up 34% 



Rate per 100,000 
Inhabitants - Up 30% 



1986 



1987 



1988 



1989 



1990 



40 



Clearances 

Law enforcement agencies nationwide cleared 15 per- 
cent of the motor vehicle thefts reported in their locales 
during 1990. Those in cities cleared 14 percent; those in 
suburban counties cleared 17 percent; and rural county 
agencies cleared 33 percent. 

Regional clearance percentages for motor vehicle theft 
were 10 percent in the Northeastern States, 14 percent in 
the Western States, 16 percent in the Midwestern States, 
and 18 percent in the Southern States. 

Persons in the under- 18 age group accounted for 24 
percent of the motor vehicle thefts cleared both nationally 
and in cities. They comprised 22 percent of the clearances 
in the suburban counties and 21 percent in the rural 
counties. 

Persons Arrested 

During 1990, males accounted for 90 percent of the 
persons arrested for motor vehicle theft. Fifty-nine percent 



of the arrestees were white, 38 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 
1 990, 62 percent of all persons arrested for this offense 
were under 2 1 years of age, and those under 1 8 comprised 
43 percent of the total. Between 1989 and 1990, arrests of 
persons under age 1 8 rose 4 percent. Within this age range, 
arrests of males increased 3 percent, while those of females 
were up 10 percent. 

Total motor vehicle theft arrests were down 1 percent 
and adult arrests declined 5 percent in 1990 from the 
previous year. Overall arrests for this offense were 35 
percent higher in 1990 than in 1986 and 62 percent above 
the 1981 level. 



41 



ARSON 
DEFINITION 



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

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



42 



Volume 

A total of 102,874 arson offenses was reported by 12,695 
law enforcement agencies across the country; these agen- 
cies furnished from 1 to 12 months of reports during 1990. 
Of these reporting agencies, 12,505 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 9,043 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 in- 
creased 3 percent in 1990 as compared to the 1989 total. 
Counts for the Nation's cities and suburban counties rose 2 
and 6 percent, respectively, while the rural counties 
registered virtually no change. 

Geographically, arson increases were experienced in the 
Northeast, 8 percent; and in the South and Midwest, 3 
percent. A 1-percent decrease was recorded in the West. 

By property type nationally, the number of arsons of 
structures rose 2 percent; of mobile property increased 8 
percent; while arsons of all other property decreased 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, 1990 

[9,043 agencies; 1990 population 179,278,000: 
rate per 100,000 inhabitants] 



Group 


Rate 


Total 


49.2 






Total cities 


57.1 






Group I (cities 250,000 and over) 


94.8 
105.6 


(cities 500 000 to 999 999) . . 


80.9 


(cities 250 000 to 499,999) 


88.0 


Group II (cities 100,000 to 249,999) .... 

Group III (cities 50,000 to 99,999) 

Group IV (cities 25,000 to 49,999) 

Group V (cities 10,000 to 24,999) 

Group VI (cities under 10,000) 


66.4 

47.4 
35.7 
27.2 
25.5 




36.4 


Rural counties 


21.8 


Suburban area 


32.6 







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 1990 rates are shown in the accompanying table. 

The rates ranged from 106 per 100,000 inhabitants in 
cities with populations over 1 million to 22 per 100,000 
rural county inhabitants. The suburban counties and all 
cities collectively recorded rates of 36 and 57 per 100,000 
inhabitants, respectively. Overall, the 1990 national arson 
rate was 49 per 100,000 population. 

Regionally, the highest arson rate was registered in the 
Western States with 56 offenses per 100,000 population. 
Following were the Northeastern States with a rate of 48 
per 100,000, the Southern States with 47 per 100,000, and 
the Midwestern States with 46 per 100,000. 

Nature 

As in previous years, structures were the most frequent 
targets of arsonists in 1990 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, 1990 

112,505 agencies; 1990 population 199,592,000] 



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 

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



Residential property was involved in 62 percent of the 
structural arsons during the year, with 45 percent of such 
offenses directed at single-occupancy dwellings. Twenty 
percent of all targeted structural property was either 
uninhabited or abandoned at the time the arson occurred. 

Motor vehicles comprised 93 percent of all mobile 
property at which arsons were directed. 



Number 

of 
offenses 



Percent 
distribution' 



84,912 



46,216 
20,626 
8,168 
4,443 
735 
5,106 
4,199 
2,939 

22,939 

21,329 

1,610 

15,757 



100.0 



54.4 
24.3 
9.6 
5.2 
.9 
6.0 
4.9 
3.5 

27.0 

25.1 

1.9 

18.6 



43 



Arson, Structures Not in Use, 1990 

[12,505 agencies; 1990 population 199,592,000) 



Type of structure 



Totid 

Single occupancy residential 

Other residential 

Storage 

Industrial/manufacturing . . . 

Other commercial 

Community/public 

Other structure 



Number 

of 
offenses 



46,216 



20,626 
8,168 
4,443 
735 
5,106 
4,199 
2,939 



Percent 

not 
in use 



19.6 



23.8 
13.9 
23.6 
20.0 
13.1 
9.6 
25.3 



The monetary value of property damaged due to report- 
ed arsons averaged $13,708 per incident in 1990. The 
overall average for all types of structures was $22,717. 
While industriaiymanufacturing property was the structur- 
al classification with the lowest reported number of of- 
fenses, it showed the highest average loss — $73,703. Mo- 
bile properties averaged $4,208 per incident, and other 
targets averaged $1,115. 

Arson, Monetary Value of Property Damaged, 1990 

[12,505 agencies; 1990 population 199,592,000] 



Property classification 



Total 

Total structure 

Single occupancy residential 

Other residential 

Storage 

Industrial/manufacturing . . . 

Other commercial 

Community/public 

Other structure 

Total mobile 

Motor vehicles 

Other mobile 

Other 



Number 

of 
offenses 



84,912 



46,216 
20,626 
8,168 
4,443 
735 
5,106 
4,199 
2,939 

22,939 

21,329 

1,610 

15,757 



Average 
damage 



$13,708 



22,717 
25,617 
13,049 
13,718 
73,703 
37,572 
16,450 
13,230 

4,208 
3,835 
9,157 

1,115 



Clearances 

The national 1 990 arson clearance rate was 1 5 percent. 
Agencies in cities with fewer than 25,000 inhabitants 
showed the highest rate, clearing 24 percent of the arson 
offenses brought to their attention. Rural county law 
enforcement agencies cleared 21 percent; those in subur- 
ban counties, 18 percent; and in cities, 14 percent. 

Regionally, the Southern States recorded a clearance rate 
of 21 percent; the Western States, 15 percent; and both the 
Midwestern and Northeastern States, 1 1 percent. 

Thirty-eight percent of all 1990 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 accounted for 36 percent 



of structural arson clearances, 22 percent of the clearances 
for arsons of mobile property, and 56 percent of those of all 
other property. 

Arson, Offenses Cleared by Arrest,' 1990 

(12,505 agencies^; 1990 population 199,592,000] 



Property classification 



Total 



Total structure 

Single occupancy residential 

Other residential 

Storage 

Industrial/manufacturing 

Other commercial 

Community/public 

Other structure 

Total mobile 

Motor vehicles 

Other mobile 



Other 



Number 

of 
offenses 



84,912 



46,216 
20,626 
8,168 
4,443 
735 
5,106 
4,199 
2,939 

22,939 

21,329 

1,610 

15,757 



Percent 
cleared 
by arrest 



17.7 



21.7 
21.8 
22.7 
16.5 
14.7 
16.0 
35.8 
17.7 

9.3 

8.8 

17.0 

18.0 



'Includes offenses cleared by exceptional means. 

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

By population grouping, juveniles were the offenders in 
40 percent of the city arson clearances, 35 percent of those 
in suburban counties, and 2 1 percent of those in the rural 
counties. 

The accompanying tables show clearance data only for 
those 12,505 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 
(36 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, 1990 

(12.505 agencies^; 1990 population 199,592,000] 



Property classiflcation 



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. 

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



44 



Persons Arrested Rural county agencies experienced a 22-percent increase 

The estimated number of arrests for arson during 1990 ^"'l '^e Nation's cities, a 6-percent rise. 

totaled 19,100. Forty-four percent of the arrestees were Nationwide, arrests of both adults and juveniles in- 

under 18 years of age and 64 percent were under 25. Males '^^eased from 1989 to 1990, 9 and 5 percent, respectively. 

comprised 87 percent of all arson arrestees. Seventy-five ^"""^ ^^e same period, male arrests for arson were up 7 

percent of those arrested were white, 23 percent were P^'''^^"^ ^"d *'e'"ale arrests, up 6 percent. 

black, and the remainder were of other races. The 1990 arson arrest total for all ages was 3 percent 

Trends for 1989 versus 1990 show arson arrests in- higher than the 1986 level but 9 percent below the 1981 

creased 7 percent nationwide and in the suburban counties, experience. 



45 



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, 1990 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. 



46 





10 
9 


^^ Crime 




8 ■ 


jir Index 








Total 








] 


Percent Chanse 
from 1986 






'' Number of Offenses 




N*^ 








Known - Up lOVf 






n E 






■ Rate per 100.000 
Inhabitants - Up 6% 




SB ' ' ' 

1986 1987 1988 1989 1990 







47 



Burglary 

21% 



Larceny-Theft 

55% 



Aggrav 
Assaul 

7% 

Robbery 

4% ' 



Forcibk 

Rape 

1% 



Murder 

>.2% 




Motor 

Vehicle 

Theft 

11% 



48 



Resional Violent and Property Crime 

Rates 1 990 

(per 100,000 inhabitants) 



4,437 




49 



Crime Index Total 

The Crime Index total rose 2 percent to 14.5 million 
offenses in 1990. Five- and 10-year percent changes 
showed the 1 990 total was 1 percent above the 1 986 level 
and 8 percent higher than in 1981. 

From 1989 to 1990, overall violent crime showed an 1 1- 
percent increase. The number of property crimes increased 
less than 1 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 23 percent, 
the Midwestern States with 21 percent, and the Northeast- 
em States with 18 percent. 

Crime rates relate the incidence of crime to population. 
In 1990, there were an estimated 5,820 Crime Index 

Table 1.— Index of Crime, United States, 1981-1990 



offenses for each 100,000 in population nationwide. The 
violent crime rate was 732, and for property crime, it was 
5,088 per 100,000. 

Regionally, the Crime Index rates per 100,000 inhab- 
itants ranged from 6,405 in the West to 5,102 in the 
Midwest. The South registered a rate of 6,334 per 100,000 
inhabitants, and the Northeast, 5,193. 

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, 1981-1990." 

Table 2, "Index of Crime, United States, 1990," 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 Oflenses 


Population by year 
1981-229,146,000 


13,423,800 
12,974,400 
12,108,600 
11,881,800 
12,431,400 
13,211,900 
13,508,700 
13,923,100 
14,251,400 
14,475,600 

+ 1.6 
+9.6 

+7.8 




1,361,820 
1,322,390 
1,258,090 
1,273,280 
1,328,800 
1,489,170 
1,484,000 
1,566,220 
1,646,040 
1,820,130 

+ 10.6 

+22.2 
+33.7 


12,061,900 
11,652,000 
10,850,500 
10,608,500 
11,102,600 
11,722,700 
12,024,700 
12,356,900 
12,605.400 
12,655,500 

+.4 
+8.0 
+4.9 


22,520 
21,010 
19,310 
18.690 
18,980 
20,610 
20,100 
20,680 
21,500 
23,440 

+9.0 

+ 13.7 

+4.1 


82,500 
78,770 
78,920 
84,230 
88,670 
91,460 
91,110 
92,490 
94,500 
102,560 

+8.5 
+ 12.1 
+24.3 


592,910 
553,130 
506,570 
485,010 
497,870 
542,780 
517,700 
542,970 
578,330 
639,270 

+ 10.5 

+ 17.8 

+7.8 


663,900 
669,480 
653,290 
685,350 
723,250 
834,320 
855,090 
910,090 
951,710 
1,054,860 

+ 10.8 
+26.4 
+58.9 


3,779,700 
3,447,100 
3,129,900 
2,984,400 
3,073,300 
3,241,400 
3,236,200 
3,218,100 
3,168,200 
3,073,900 

-3.0 

-5.2 
-18.7 


7,194,400 
7,142,500 
6,712,800 
6,591,900 
6,926,400 
7,257,200 
7,499,900 
7,705,900 
7,872,400 
7,945,700 

+.9 

+9.5 

+ 10.4 


1,087,800 
1,062,400 
1,007,900 
1,032,200 
1,102,900 
1,224.100 
1,288,700 
1,432,900 
1,564,800 
1,635,900 

+4.5 
+33.6 
+50.4 




1982-231,534,000 




1983-233,981,000 




1984-236,158,000 




1985-238,740,000 




1986-241,077,000 




1987-243,400,000 




1988-245,807,000 




1989-248,239,000 




1990-248,709,873 




Percent change: number of 
offenses: 
1990/1989 




1990/1986 




1990/1981 










Rate per 100,000 Inhabitants 


Year. 
1981 


5,858.2 
5,603.6 
5,175.0 
5,031.3 
5,207.1 
5,480.4 
5,550.0 
5,664.2 
5,741.0 
5,820.3 

+ 1.4 

+6.2 

-.6 




594.3 
571.1 
537.7 
539.2 
556.6 
617.7 
609.7 
637.2 
663.1 
731.8 

+ 10.4 
+ 18.5 
+23.1 


5,263.9 
5,032.5 
4,637.4 
4,492.1 
4,650.5 
4,862.6 
4,940.3 
5,027.1 
5,077.9 
5088.5 

+.2 
+4.6 
-3.3 


9.8 
9.1 
8.3 
7.9 
7.9 
8.6 
8.3 
8.4 
8.7 
9.4 

+8.0 
+9.3 
-4.1 


36.0 
34.0 
33.7 
35.7 
37.1 
37.9 
37.4 
37.6 
38.1 
41.2 

+8.1 

+8.7 

+ 14.4 


258.7 
238.9 
216.5 
205.4 
208.5 
225.1 
212.7 
220.9 
233.0 
257.0 

+ 10.3 

+ 14.2 

-.7 


289.7 
289.2 
279.2 
290.2 
302.9 
346.1 
351.3 
370.2 
383.4 
424.1 

+ 10.6 

+22.5 
+46.4 


1,649.5 
1,488.8 
1,337.7 
1,263.7 
1,287.3 
1,344.6 
1,329.6 
1,309.2 
1,276.3 
1,235.9 

-3.2 

-8.1 

-25.1 


3,139.7 
3,084.8 
2,868.9 
2,791.3 
2,901.2 
3.010.3 
3,081.3 
3,134.9 
3.171.3 
3,194.8 

+.7 
+6.1 
+ 1.8 


474.7 
458.8 
430.8 
437.1 
462.0 
507.8 
529.4 
582.9 
630.4 
657.8 

+4.3 
+29.5 
+38.6 




1982 




1983 




1984 




1985 




1986 




1987 




1988 




1989 




1990 




Percent change: rale per 100,000 
inhabitants: 
1990/1989 




1990/1986 




1990/1981 





'Populations are Bureau of the Census provisional estimates as of July I, except 1990 which are the decennial census counts and are subject to change. 
'Because of rounding, the ofTenses may not add to totals. 

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

'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, and motor vehicle theft. DaU are not included 
for the property crime of arson. 

All rales were calculated on the offenses before rounding. 



Provided in Table 3, "Index of Crime, Regional Offense 
and Population Distribution, 1990," are data showing the 
geographical distribution of estimated Index crimes and 
population. When utilizing figures presented on a regional 
basis in this publication, the reader is cautioned to 



consider each region's proportion of the total United States 
population. For example, although the Southern States 
accounted for the largest volume of Crime Index offenses 
in 1 990, they also represented the greatest regional popula- 
tion. 



50 



Tabic 2.— Index of Crime, United States, 1990 
























Area 


Population' 


Crime 
Index 
total 


Modified 
Crime 
Index 
total' 


Violent 
crime' 


Property 
crime' 


Murder 
and non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 

vehicle 

theft 


Arson' 


llihcd States Total 


248,709,873 


14,475,613 

5,820.3 




1,820,127 

731.8 


12,655,486 

5,088.5 


23,438 

9.4 


102,555 

41.2 


639,271 

257.0 


1,054,86; 

424.1 


3,073,909 

1,235.9 


7,945,670 

3,194.8 


1,635307 

657.8 




Rate per 100.000 
inhabitants 










MctropoUttii 
Statbdctl Area 


192,523,468 

98.0% 
100.0% 


12,448,587 
12,604,801 

6,547.2 

1,099,180 
1,187,513 

5,302.6 

624,352 
683,299 

2,022.1 




1,634,950 
1,647,808 

855.9 

94,444 
102,483 

457.6 

62,670 
69,836 

206.7 


10,813,637 
10,956,993 

5.691.3 

1,004,736 
1,085,030 

4,845.0 

561,682 
613,463 

1,815.4 


20,198 
20,335 

10.6 

1,066 
1,174 

5.2 

1,691 
1,929 

5.7 


86,599 
87.697 

45.6 

6,762 
7,297 

32.6 

6,911 
7,561 

22.4 


617,080 
619,947 

322.0 

12,856 
14,006 

62.5 

4,796 
5,318 

15.7 


911,073 
919,829 

477.8 

73,760 
80,006 

357.3 

49.272 
55,028 

162.8 


2,578,413 
2,611,432 

1,356.4 

217,330 
235,876 

1,053.3 

207,252 
226,601 

670.6 


6,706,679 
6,802,603 

3,533.4 

739,492 
797,113 

3,559.3 

317,169 
345,954 

1,023.8 


1,528,545 
1,542,958 

801.4 

47,914 
52,041 

232.4 

37,261 
40,908 

121.1 




Area actually reporting* 




Rale per 100,000 
inhabitants 




Other CItkt 


22J9<94S 

92.8% 
100.0% 




Area actually reporting* 




Rate per 100.000 
inhabitants 




Bail Coudcs 


33,791,460 

88.7% 
100.0% 




Area actuaUy reporting* 

Estimated totals 




Rale per 100,000 
inhabitants 











'Populations are Bureau of the Census 1990 decennial census counts and are subject to change. 

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

'Violent crimes are ofTenses of murder, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, and motor vehicle 
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 
individual states which have varying populations, portions reporting, and crime rates. 



theft. Data are not included for 
the sum of the calculatioiu for 



Table 3.— Index of Crime, Regional Offense and Population Distribution, 1990 


















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' 


Unhed States TolaP 


100.0 


100.0 




100.0 


100.0 


100.0 


100.0 


100.0 


100.0 


100.0 


100.0 


100.0 










20.4 
24.0 
34.4 
21.2 


18.2 
21.0 
37.4 
23.4 




21.1 
19.5 
36.0 
23.4 


17.8 
21.3 
37.6 
23.3 


18.6 
17.8 
43.1 
20.5 


14.3 
24.8 
37.8 
23.1 


28.0 
18.5 
31.7 
21.7 


17.6 
19.6 
38.2 
24.6 


16.9 
19.1 
41.6 
22.4 


16.6 

22.7 
37.3 
23.3 


25.4 
18.3 
31.2 
25.1 




Midwestern States 








Western States 









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

'Violent 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. 

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



51 



Table 4.— Index of Crime: Region, Geographic Division, and State, 1989-1990 



Area 



Year 



Population' 



Crime Index lotal 



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 



Uiited Stxcs Total' 
Pcrctat change 



Northcut 



Perteat chaa(C 

New England 



Percent change 
Connecticut 



Percent change 
Maine 



Percent change 
Massachusetts . . . 



Percent change 
New Hampshire 

Percent change 
Rhode Island ... 



Percent change 
Vermont 



Percent change 
Middle Atlantic . . . 



Percent change 
New Jersey 



Percent change 
New York 



Percent change 
Pennsylvania .... 



1989 
1990 



1989 
1990 



1989 
1990 



1989 
1990 



1989 
1990 



1989 
1990 



1989 
1990 



1989 
1990 



1989 
1990 



1989 
1990 



1989 
1990 



1989 
1990 



1989 
1990 



Percent change 

See footnotes at end of table. 



248,239,000 
248,709,873 



14,251,449 

14,475,613 

+1.6 



5,741.0 

S,820J 

+1.4 



50,772,000 
50309,229 

13,047,000 
13,206,943 



3,239,000 
3,287,116 



1,222,000 
1,227,928 



5,913,000 
6,016,425 



1,107,000 
1,109,252 



998,000 
1,003,464 



567,000 
562,758 



2,575,190 
2,638,764 

+2.5 

633,315 

659,792 

+4.2 

170,695 

177,068 

+3.7 

43,792 

45,406 

+3.7 

303,692 

318,742 

+5.0 

39,810 

40,435 

+ 1,6 

52,144 

53,712 

+3.0 

23,182 

24,429 

+5.4 



5,072.1 
5,193.5 

+2.4 
4,854.1 
4,995.8 

+2.9 
5,270.0 
5,386.7 

+2.2 
3,583.6 
3,697.8 

+3.2 
5,136.0 
5,297.9 

+3.2 
3,596.2 
3,645.2 

+ 1.4 
5,224.8 
5,352.7 

+2.4 
4,088.5 
4,340.9 

+6.2 



37,726,000 
37,602,286 



7,736,000 
7,730,188 



17,950,000 
17,990,455 



12,040,000 
11,881,643 



1,941,875 

1,978,972 

+ 1.9 

407,643 

421,080 

+3.3 

1,129,638 

1,144,874 

+ 1.3 

404,594 

413,018 

+2.1 



5,147.3 
5,262.9 

+2.2 
5,269.4 
5,447.2 

+3.4 
6,293.2 
6,363.8 

+ 1.1 
3,360.4 
3,476.1 

+3.4 



1,646,037 

1,820,127 

+10.6 



663.1 
731.8 
+10.4 



12,605,412 
12,655,486 

+.4 



5,077.9 

5,088.5 

+.2 



360,293 

384,497 

+6.7 

64,554 

70,769 

+9.6 

16,576 

18,201 

+9.8 

1,676 

1,759 

+5.0 

39,912 

44,300 

+ 11.0 

1,865 

1,459 

-21.8 

3,772 

4,334 

+ 14.9 

753 

716 

-4.9 



709.6 

756.7 
+6.6 
494.8 
535.8 
+8.3 
511.8 
553.7 
+8.2 
137.2 
143.2 
+4.4 
675.0 
736.3 
+9.1 
168.5 
131.5 
-22.0 
378.0 
431.9 
+ 14.3 
132.8 
127.2 
-4.2 



2,214,897 

2,254,267 

+1.8 

568,761 

589,023 

+3.6 

154,119 

158,867 

+3.1 

42,1J6 

43,647 

+3.6 

263,780 

274,442 

+4.0 

37,945 

38,976 

+2.7 

48,372 

49,378 

+2.1 

22,429 

23,713 

+5.7 



4,362.4 
4,436.7 

+1.7 
4,359.3 
4,459.9 

+2.3 
4,758.2 
4,833.0 

+ 1.6 
3,446.5 
3,554.5 

+3.1 
4,461.0 
4,561.5 

+2.3 
3,427.7 
3,513.7 

+2.5 
4,846.9 
4,920.8 

+ 1.5 
3,955.7 
4,213.7 

+6.5 



295,739 

313,728 

+6.1 

47,111 

50,057 

+6.3 

203,042 

212,458 

+4.6 

45,586 

51,213 

+12.3 



783.9 
834.3 

+6.4 
609.0 
647.6 

+6.3 
1,131.2 
1,180.9 

+4.4 
378.6 
431.0 
+ 13.8 



1,646,136 

1,665,244 

+ 1.2 

360,532 

371,023 

+2.9 

I 926,596 

I 932,416 

+.6 

359,008 

361,805 

+.8 



4,363.4 
4,428.6 

+ 1.5 
4,660.4 
4,799.7 

+3.0 
5,162.1 
5,182.8 
+.4 
2,981.8 
3,045.1 

+2.1 



21,500 

23,438 

+9.0 



3,972 
4459 

+9.7 

579 

521 

-10.0 

190 

166 

-12.6 

39 

30 

-23.1 

254 

243 

-4.3 

36 

21 

-41.7 

49 

48 

-2.0 

II 

13 

+ 18.2 



3,393 

3,838 

+ 13.1 

394 

432 

+9.6 

2,246 

2,605 

+ 16.0 

753 

801 

+6.4 



9.0 

10.2 

+ 13.3 

5.1 

5.6 

+9.8 

12.5 

14.5 

+16.0 

6.3 

6.7 

+6.3 



52 



Ttbl* 4.— 


Index of Crime: Regi 


vn. Geographic Division, and State, 1989- 


1990 














Forcible rape 


Robbery 


Aggravated 
assault 


Burglary 


Larceny-theft 


Motor vehicle theft 


Arson- 


Number 


Rale per 
100,000 


Number 


Rate per 
100,000 


Number 


Rate per 
100,000 


Number 


Rate per 

100,000 


Number 


Rate per 
100.000 


Number 


Rate per 
100,000 


Number 


Rale per 
100,000 


H504 


38.1 


578J26 


233.0 


951,707 


383.4 


3,168,170 


1,276J 


7,872,442 


3,171J 


1,564,800 


630.4 






10WJ5 


41.2 


639,271 


257.0 


1,054,863 


424.1 


3,073,909 


1,235.9 


7,945,670 


3,1»4J 


1,635,907 


657J 






+8J 


+8.1 


+10.5 


+10J 


+10J 


+10.6 


-3.0 


-3.2 


+.9 


+.7 


+4.5 


+4J 






14380 


28J 


163,864 


322.7 


178,077 


350.7 


511,489 


1,007.4 


U13,035 


2,586.1 


390J73 


- ' \ 

768,9 






14,713 


29.0 


179,258 


352J 


186,167 


366.4 


518,500 


1,020J 


1,320,269 


2,598,5 


415,498 


817,8 






+2.3 


+2.5 


+9.4 


+9.3 


+4.5 


+4.5 


+ 1.4 


+ 1.3 


+.6 


+.5 


+6.4 


+6,4 






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 






3,970 


30.1 


22,679 


171.7 


43,599 


330.1 


144,435 


1,093.6 


349,371 


2,645,3 


95,217 


721.0 






U.i 


+5.2 


+9.5 


+8.1 


+ 10.3 


+8.9 


+4.0 


+2.7 


+3.3 


+2,1 


+3.8 


+2.5 






892 


27.5 


6,956 


214.8 


8,538 


263.6 


40,035 


1,236.0 


91,483 


2,8244 


22,601 


697.8 






918 


27.9 


7,717 


234.8 


9,400 


286.0 


40,355 


1,227.7 


94,485 


2,874.4 


24,027 


730.9 






+2.9 


+ 1.5 


+ 10.9 


+9.3 


+ 10.1 


+8.5 


+.8 


-.7 


+3.3 


+ 1.8 


+6.3 


+4.7 






229 


18.7 


293 


24.0 


1.115 


91.2 


9,810 


802.8 


30,067 


2.460.5 


2,239 


183.2 






242 


19.7 


308 


25.1 


1,179 


96.0 


10,106 


823.0 


31,372 


2.554.9 


2,169 


176.6 






+5.7 


+5.3 


+5.1 


+4.6 


+5.7 


+5.3 


+3.0 


+2,5 


+4.3 


+3.8 


-3.1 


-3.6 






1.881 


31.8 


11,980 


202.6 


25.797 


436.3 


63,004 


1,065.5 


146,925 


2.4848 


53,851 


910.7 






2,030 


33.7 


13,062 


217.1 


28,965 


481.4 


66,942 


1,112.; 


151,933 


2,525.3 


55,567 


923.6 






+7.9 


+6.0 


+9.0 


+7.2 


+ 12.3 


+ 10,3 


+6.3 


+4.4 


+3.4 


+ 1.6 


+3.2 


+ 1.4 






327 


29.5 


264 


23.8 


1,238 


111.8 


8,157 


736.9 


27,087 


2,446.9 


2,701 


244.0 






386 


V 


302 


27.2 


750 


67.6 


8,158 


735.5 


28.111 


2,5342 


2,707 


244.0 






+ 18.0 


+ 16.U 


+ 14.4 


+ 14.3 


-39.4 


-39,5 




-.2 


+3.8 


+3.6 


+.2 








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 






248 


24.7 


1,224 


122.0 


2.814 


280,4 


12,755 


1,271.1 


27.046 


2,695.3 


9,577 


954.4 






-6.8 


-7.5 


+9.1 


+8.5 


+20.5 


+ 19.8 


+5.9 


+5.3 


-.2 


-.8 


+3.8 


+3.3 






131 


23.1 


102 


18.0 


509 


89.8 


5,835 


1,029.1 


15.466 


2,727.7 


1,128 


198.9 






146 


25.9 


66 


11,7 


491 


87,2 


6,119 


1,087.3 


16,424 


2,918.5 


1,170 


207.9 






+ 11.5 


+ 12.1 


-35.3 


-35.0 


-3,5 


-2.9 


+4.9 


+5.7 


+6,2 


+7.0 


+3.7 


+4.5 






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 






10,743 


28.6 


156,579 


416.4 


142,568 


379.2 


374,065 


994.8 


970.898 


2,582.0 


320,281 


851.8 






+.8 


+ 1.4 


+9.4 


+9.8 


+2.9 


+3.3 


+.4 


+.7 


-,4 


-.1 


+7.3 


+7.6 






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 






2,307 


29.8 


23,269 


301.0 


24,049 


311.1 


78,628 


1,0172 


219.767 


2,843.0 


72,628 


939.5 






-5.8 


-6.0 


+ 10.1 


+10.1 


+4.0 


+4.0 


+4.1 


+4.2 


+2.8 


+2.8 


+2.1 


+2.2 






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 






5,368 


29.8 


112,380 


624.7 


92,105 


512.0 


208,813 


1,160.7 


536,012 


2,979.4 


187,591 


1,042.7 






+2.4 


+2.1 


+8.1 


+7.8 


+.6 


+.4 


-1.1 


-1.3 


-1.6 


-1.8 


+9.7 


+9.4 






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 






3,068 


25.8 


20,930 


176.2 


26,414 


222.3 


86,624 


729.1 


215.119 


1,810.5 


60,062 


505.5 






+3.5 


+4.9 


+ 16.1 


+ 17.7 


+ 10.8 


+ 12.3 


+.8 


+2.2 


-.7 


+.7 


+6.3 


+7.7 







53 



Ttble 4. — Index of Crime: Region, Geographic Division, and State, 1989-1990 — Continued 



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 



MMwcsf 



Perceal cbugc 

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 DakoU .. 



Percent change 
South Dakota ... 



1989 
1990 



1989 
1990 



1989 
1990 



1989 
1990 



1989 
1990 



1989 
1990 



1989 
1990 



1989 
1990 



1989 
1990 



1989 
1990 



1989 
1990 



1989 
1990 



1989 
1990 



1989 
1990 



1989 
1990 



Percent change 

See footnotes at end of table. 



60,148,000 
S9,668,632 



42,298.000 
42,008,942 



11,658,000 
11,430,602 



5,593,000 
5,544,159 



9,273,000 
9,295,297 



10,907,000 
10,847,115 



4,867,000 
4,891,769 



2,976,595 

3,044,224 

+2J 

2,178.138 
2,235,672 

+2.6 
657,414 
678,416 

+3.2 
248,327 
259,651 

+4.6 
553,442 
557,232 
+.7 
516,252 
525.373 

+ 1.8 
202.703 
215,000 

+6.1 



4,948J 

5,101.9 

+3.1 

5.149.5 
5.321.9 

+3.3 
5.639.2 
5.935.1 

+5.2 
4,440.0 
4,683.3 

+5.5 
5,968.3 
5,994.8 
+.4 
4,733.2 
4.843.4 

+2.3 
4,164.8 
4,395.1 

+5.5 



17,851,000 
17.659.690 



2,840,000 
2,776,755 



2,513,000 

2.477,574 



4,353,000 
4,375,099 



5,159,000 
5,117.073 



1,611.000 
1.578,385 



660,000 
638,800 



715,000 
696,004 



798,457 

808,552 

+ 1.3 

115,912 

113,871 

-1.8 

125,219 

128.664 

+2.8 

190.801 

198.577 

+4.1 

264.508 

262.024 

-.9 

65.916 

66.499 

+.9 

16,902 

18,668 

+ 10.4 

19,199 

20,249 

+5.5 



4,472.9 
4,578.5 

+2.4 
4,081.4 
4,100.9 
+.5 
4,982.8 
5,193.1 

+4.2 
4,383.2 
4,538.8 

+3.5 
5,127.1 
5,120.6 
-.1 
4,091.6 
4,213.1 

+3.0 
2,560.9 
2,922.4 
+ 14.1 
2,685.2 
2,909.3 

+8.3 



317,757 

354492 

+11.5 

249.049 
278,170 
+11.7 
98,611 
110,575 
+ 12.1 
22,735 
26,275 
+ 15.6 
65.760 
73,468 
+ 11.7 
51.109 
54.904 
+7.4 
10.834 
12.948 
+ 19.5 



528J 
593.9 

+12.4 

588.8 
662.2 
+12.5 
845.9 
967.4 
+14.4 
406.5 
473.9 
+ 16.6 
709.2 
790.4 
+ 11.4 
468.6 
506.2 
+8.0 
222.6 
264.7 
+ 18.9 



2,658,838 

2,689332 

+1.2 

1.929.089 

1.957,502 

+1.5 

558,803 

567,841 

+ 1.6 

225,592 

233,376 

+3.5 

487,682 

483,764 

-.^ 

465,143 

470,469 

+ 1.1 

191,869 

202,052 

+5.3 



4,420J 

4,507.9 

+2.0 

4.560.7 
4.659.7 

+2.2 
4.793.3 
4,967.7 

+3.6 
4,033.5 
4,209.4 

+4.4 
5,259.2 
5.204.4 

-1.0 
4.264.6 
4,337.3 

+ 1.7 
3,942.2 
4.130.4 

+4.8 



68,708 

76,222 

+ 10.9 

7,563 

8,321 

+ 10.0 

10.073 

11.093 

+ 10.1 

12,549 

13,392 

+6.7 

32,634 

36,602 

+12.2 

4,503 

5.209 

15.7 

417 

472 

+ 13.2 

969 

1.133 

+16.9 



384.9 
431.6 
+ 12.1 
266.3 
299.7 
+ 12.5 
400.8 
447.7 
+ 11.7 
288.3 
306.1 
+6.2 
632.6 
715.3 
+ 13.1 
279.5 
330.0 
+ 18.1 
63.2 
73.9 
+ 16.9 
135.5 
162.8 
+20.1 



729.749 

732.330 

+.4 

108.349 

105.550 

-2.6 

115.146 

117.571 

+2.1 

178.252 

185,185 

+3.9 

231,874 

225,422 

-2.8 

61,413 

61,290 

-.2 

16,485 

18,196 

+ 10.4 

18,230 

19,116 

+4.9 



4,088.0 
4,146.9 

+ 1.4 
3.815.1 
3.801.2 
-.4 
4,582.0 
4,745.4 

+3.6 
4,094.9 
4,232.7 

+3.4 
4,494.6 
4,405.3 

-2.0 
3,812.1 
3,883.1 

+1.9 
2,497.7 
2,848.5 
+ 14.0 
2.549.7 
2.746.5 

+7.7 



3,990 
4,165 
+4.4 

3.225 

3,385 

+5.0 

1.051 

1.182 

+12.5 

353 

344 

-2.5 

993 

971 

-2.2 

652 

663 

+ 1.7 

176 

225 

+27.8 



765 

780 

+2.0 

54 

54 



138 

98 

-29.0 

111 

117 

+5.4 

409 

449 

+9.8 

40 

43 

+7,5 

4 

5 

+25.0 

9 

14 

+55.6 



6.6 

7.0 

■H.I 

7.6 
8.1 

+6.6 
9.0 
10.3 
+14.4 
6.3 
6.2 

-1.6 
10.7 
10.4 

-2.8 
6.0 
6.1 

+1.7 

3.6 

4.6 

+27.8 



4.3 
4.4 
+2.3 
1.9 
1.9 



5.5 

4.0 

-27.3 

2.5 

2.7 

+8.0 

7.9 

8.8 

+11.4 

2.5 

2.7 

+8.0 

.6 

.8 

+33.3 

1.3 

2.0 

+53.8 



54 



Table 4.— 


Index of Crime: Region, Geographic Division, and Sute, 1989- 


1990— Continued 












Forcible rape 


Robbery 


Aggravated 
assault 


Burglar> 


Larceny-theft 


Motor vehicle theft 


AiKin- 


Number 


Rale per 


Number 


Rate per 


Number 


Rate 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 


23,468 


39.0 


106JOi 


177.1 


183,794 


305.6 


609,293 


1,013.0 


1,766,190 


2,936.4 


283J55 


471.1 






2533 


42.6 


118,450 


198.5 


20634 


J45.9 


586,804 


983.4 


1,804,238 


3,023.8 


298,790 


500.7 






+8J 


+9.2 


+11.2 


+12.1 


+12J 


+13.2 


-3.7 


-2.9 


+2J 


+3.0 


+5.4 


+6J 






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 






19,905 


47.4 


98,374 


234.2 


156,506 


372.6 


423.408 


1,007.9 


1,296,353 


3.085.9 


237,741 


565.9 






+7.9 


+8.7 


+ 12.1 


+ 12.9 


+12.1 


+ 12.8 


-3.8 


-3.1 


+2.4 


+3.1 


+6.5 


+7.2 






4.161 


35.7 


39,138 


335.7 


54,261 


465.4 


125,441 


1,076.0 


362,556 


3,109.9 


70,806 


607.4 






4,505 


39.4 


45,038 


394.0 


59,850 


523.6 


121.506 


1,063.0 


372,862 


3,262.0 


73.473 


642.8 






+8.3 


+ 10.4 


+ 15.1 


+ 17.4 


+ 10.3 


+12.5 


-3.1 


-1.2 


+2.8 


+4.9 


+3.8 


+5.8 






1.804 


32.3 


5,671 


101.4 


14,907 


266.5 


54,201 


969.1 


149,514 


2.673.2 


21,877 


391.1 






2,103 


37.9 


5,619 


101.3 


18,209 


328.4 


52.297 


943.3 


156.741 


2.827.1 


24,338 


439.0 






+ 16.6 


+ 17.3 


-.9 


-.1 


+22.2 


+23.2 


-3.5 


-2.7 


+4.8 


+5.8 


+ 11.2 


+ 12.2 






6,624 


71.4 


20,616 


222.3 


37,527 


404.7 


113,579 


1,224.8 


307,096 


3,311.7 


67,007 


722.6 






7,209 


77.6 


21,752 


234.0 


43,536 


468.4 


106,275 


1,143.3 


311,153 


3,347.4 


66,336 


713.7 






+8.8 


+8.7 


+5.5 


+5.3 


+ 16.0 


+15.7 


-6.4 


-6.7 


+ 1.3 


+ 1.1 


-1.0 


-1.2 






4,872 


44.7 


18,635 


170.9 


26,950 


247.1 


111,057 


1,018.2 


306,609 


2,811.1 


47,477 


435.3 






5,075 


46.8 


20,451 


188.5 


28,715 


264.7 


106,575 


982.5 


310,673 


2,864.1 


53,221 


490.6 






+4.2 


+4.7 


+9.7 


+ 10.3 


+6.5 


+7.1 


-4.0 


-3.5 


+1.3 


+1.9 


+ 12.1 


+ 12.7 






993 


20.4 


3,659 


75.2 


6,006 


123.4 


35,683 


733.2 


140,040 


2,877.3 


16,146 


331.7 






1,013 


20.7 


5,514 


112.7 


6,196 


126.7 


36,755 


751.4 


144,924 


2,962.6 


20,373 


416.5 






+2.0 


+ 1.5 


+50.7 


+49.9 


+3.2 


+2.7 


+3.0 


+2.5 


+3.5 


+3.0 


+26.2 


+25.6 






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 






5.488 


31.1 


20,076 


113.7 


49,878 


282.4 


163.396 


925.2 


507,885 


2,876.0 


61,049 


345.7 






+9.5 


+ 10.7 


+6.9 


+8.1 


+13.0 


+14.2 


-3.5 


-2.5 


+ 1.5 


+2.6 


+1.7 


+2.8 






459 


16.2 


1,108 


39.0 


5,942 


209.2 


24,052 


846.9 


79,801 


2,809.9 


4,496 


158.3 






510 


18.4 


1,089 


39.2 


6.668 


240.1 


22,448 


808.4 


78,384 


2,822.9 


4,718 


169.9 






+ 11.1 


+ 13.6 


-1.7 


+.5 


+ 12.2 


+ 14.8 


-6.7 


-4.5 


-1.8 


+.5 


+4.9 


+7.3 






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 






1.002 


40.4 


2,914 


117.6 


7,079 


285.7 


28,901 


1.166.5 


80.361 


3,243.5 


8,309 


335.4 






+9.3 


+ 10.7 


+16.2 


+ 17.8 


+8.7 


+ 10.3 


-3.2 


-1.9 


+3.3 


+4.8 


+ 11.2 


+ 12.8 






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 






1.487 


34.0 


4,057 


92.7 


7,731 


176.7 


39,691 


907.2 


129.500 


2,959.9 


15,994 


365.6 






+9.1 


+8.6 


-1.7 


-2.2 


+ 11.3 


+ 10.7 


+1.7 


+ 1.1 


+5.6 


+5.0 


-3.3 


-3.8 






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 






1,663 


32.5 


11,073 


216.4 


23,417 


457.6 


54,536 


1.065.8 


143,287 


2,800.2 


27,599 


539.4 






+4.8 


+5.5 


+10.1 


+ 11.0 


+ 138 


+14.7 


-6.9 


-6.2 


-2.0 


-1.2 


+2.2 


+3.0 






381 


23.6 


837 


52.0 


3,245 


201.4 


12,010 


745.5 


46,403 


2,880.4 


3,000 


186.2 






473 


30.0 


807 


51.1 


3,886 


246.2 


11,424 


723.8 


47,054 


2,981.1 


2,812 


178.2 






+24.1 


+27.1 


-3.6 


-1.7 


+19.8 


+22.2 


-4.9 


-2.9 


+ 1.4 


+3.5 


-6.3 


-4.3 






78 


11.8 


61 


9.2 


274 


41.5 


2,369 


358.9 


13,370 


2,025.8 


746 


113.0 






114 


17.8 


50 


7.8 


303 


47.4 


2,725 


426.6 


14,621 


2,288.8 


850 


133.1 






+46.2 


+50.8 


-18.0 


-15.2 


+10.6 


+14.2 


+ 15.0 


+ 18.9 


+9.4 


+ 13.0 


+13.9 


+ 17.8 






229 


32.0 


84 


11.7 


647 


90.5 


3,394 


474.7 


14,057 


1,966.0 


779 


109.0 






239 


34.3 


86 


12.4 


794 


114.1 


3.671 


527.4 


14,678 


2,108.9 


767 


110.2 






+4.4 


+7.2 


+2.4 


+6.0 


+22.7 


+26.1 


+8.2 


+ 11.1 


+4.4 


+7.3 


-1.5 


+ 1.1 







55 



Table 4.— Index of Crime: Region, Geographic Division, and State, 1989-1990 — Continued 



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 



Sooth 



Percent chingc 

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 



1989 
1990 



1989 
1990 



1989 
1990 



1989 
1990 



1989 
1990 



1989 
1990 



1989 
1990 



1989 
1990 



1989 
1990 



1989 
1990 



1989 
1990 



1989 
1990 



1989 
1990 



1989 
1990 



1989 
1990 



1989 
1990 



1989 
1990 



1989 
1990 



1989 
1990 



1989 
1990 



1989 
1990 



Percent change 

See footnotes at end of table. 



85,523,000 
85,445,930 



43,115,000 
43,566,853 



673,000 
666,168 



604,000 
606,900 



12,671,000 
12,937,926 



6,436,000 

6,478,216 



4,694,000 
4,781,468 



6,571,000 
6,628,637 



3,512,000 
3,486,703 



6,098,000 
6,187,358 



1,857.000 
1,793,477 



5,306,813 

5,411,894 

+2.0 

2,770,129 

2,852,040 

+3.0 

32,743 

35,709 

+9.1 

62,172 

65,389 

+5.2 

1,115,617 

1,139,934 

+2.2 

455,225 

438,161 

-3.7 

261,107 

278,782 

+6.8 

345,225 

363,638 

+5.3 

197,348 

210,779 

+6.8 

256,814 

274,757 

+7.0 

43,878 

44,891 

+2.3 



6,205.1 

6J33.7 

+2.1 
6,425.0 
6,546.4 

+ 1.9 
4,865.2 
5,360.4 
+ 10.2 
10,293.4 
10,774.3 

+4.7 
8,804.5 
8,810.8 
+.1 
7,073.1 
6,763.6 

-4.4 
5,562.6 
5.830.5 

+4.8 
5,253.8 
5,485.9 

+4.4 
5,619.2 
6,045.2 

+7.6 
4,211.4 
4,440.6 

+5.4 
2,362.8 
2,503.0 

+5.9 



15,406,000 
15,176,284 



4,118,000 
4.040.587 



3.727.000 
3,685.296 



2.621,000 
2,573,216 



4,940,000 
4,877,185 



629,311 

666,105 

+5.8 

190,573 

198,604 

+4.2 

123,630 

121,594 

-1.6 

92,136 

99,561 

+8.1 

222,972 

246.346 

+ 10.5 



4,084.8 

4,389.1 

+7.4 

4,627.8 

4,915.2 

+6.2 

3,317.1 

3,299.4 

-.5 

3,515.3 

3,869.1 

+ 10.1 
4.513.6 
5,051.0 

+ 11.9 



27.002.000 
26.702,793 



2,406,000 
2,350,725 



4,382,000 
4,219,973 



3,224,000 
3,145,585 



16,991,000 
16,986,510 



1,907,373 

1,893,749 

-.7 

109,610 

114,408 

+4.4 

273,492 

273,736 

+.1 

177,405 

176,111 

-.7 

1,346,866 

1,329,494 

-1.3 



7,063.8 
7,092.0 
+.4 
4,555.7 
4,866.9 

+6.8 
6,241.3 
6,486.7 

+3.9 
5,502.6 
5,598.7 

+ 1.7 
7,926.9 
7,826.8 

-1.3 



577,320 

654,784 

+13.4 

331,025 

373,322 

+12.8 

3,745 

4,365 

+ 16.6 

12,937 

14,919 

+ 15.3 

140.575 

160,990. 

+ 14.5 

47,357 

48,996 

+3.5 

40,152 

43,940 

+9.4 

35,902 

41,332 

+ 15.1 

28,576 

34,050 

+ 19.2 

19,057 

21,694 

+13.8 

2,724 

3,036 

+11.5 



675.0 
766J 
+13.5 

767.8 
856.9 
+ 11.6 
556.5 
655.2 
+17.7 
2,141.9 
2,458.2 
+ 14.8 
1,109.4 
1,244.3 
+ 12.2 
735.8 
756.3 
+2.8 
855.4 
919.0 
+7.4 
546.4 
623.5 
+ 14.1 
813.7 
976.6 
+20.0 
312.5 
350.6 
+12.2 
146.7 
169.3 
+ 15.4 



4,729,493 

4,757,110 

+.6 

2,439,104 

2,478,718 

+ 1.6 

28,998 

31.344 

+8.1 

49.235 

50.470 

+2.5 

975.042 

978.944 

+.4 

407,868 

389,165 

-4.6 

220.955 

234.842 

+6.3 

309.323 

322.306 

+4.2 

168,772 

176,729 

+4.7 

237,757 

253.063 

+6.4 

41,154 

41,855 

+ 1.7 



72,905 
84,472 

+15.9 
24,329 
28,630 

+ 17.7 

13,302 

14.386 

+8.1 

8.156 

8,758 

+7.4 

27,118 

32,698 

+20.6 



473.2 
556.6 
+17.6 
590.8 
708.6 
+ 19.9 
356.9 
390.4 

+9.4 
311.2 
340.4 

+9.4 
548.9 
670.4 
+22.1 



556,406 
581,633 

+4.5 
166,244 
169,974 

+2.2 
110,328 
107,208 

-2.8 
83,980 
90,803 

+8.1 
195,854 
213,648 

+9.1 



173,390 

196.990 

+13.6 

11.397 

12,511 

+9.8 

34,257 

37,914 

+ 10.7 

15,847 

17,222 

+8.7 

111,889 

129,343 

+15.6 



642.1 
737.7 
+ 14.9 
473.7 
532.2 
+ 12.3 
781.8 
898.4 
+ 14.9 
491.5 
547.5 
+ 11.4 
658.5 
761.4 
+ 15.5 



1,733,983 

1,696.759 

-2.1 

98.213 

101.897 

+3.8 

239.235 

235,822 

-1.4 

161,558 

158,889 

-1.7 

1,234,977 

1,200,151 

-2.8 



5,530.1 
5,567.4 
+.7 
5,657.2 
5,689.5 
+.6 
4,308.8 
4.705.1 

+9.2 
8.151.5 
8.316.0 

+2.0 
7,695.1 
7,566.5 

-1.7 
6.337.3 
6.007.3 

-5.2 
4.707.2 
4,911.5 

+4.3 
4,707.4 
4,862.3 

+3.3 
4.805.6 
5.068.7 

+5.5 
3.898.9 
4.090.0 

+4.9 
2,216.2 
2,333.7 

+5.3 



3.611.6 

3,832.5 

+6.1 

4,037.0 

4,206.7 

+4.2 

2,960.2 

2,909.1 

-1.7 

3,204.1 

3,528.8 

+ 10.1 
3.964.7 
4,380.6 

+ 10.5 



6,421.7 
6,354.2 

-1.1 
4,082.0 
4,334.7 

+6.2 
5,459.5 
5,588.2 

+2.4 
5,011.1 
5,051.2 
+.8 
7,268.4 
7,065.3 

-2.8 



9,221 
10,113 

+9.7 

4,742 

4,951 

+4.4 

34 

33 

-2.9 

434 

472 

+8.8 

1,405 

1,379 

-1.9 

820 

767 

-6.5 

544 

552 

+ 1.5 

584 

711 

+21.7 

320 

390 

+21.9 

480 

545 

+13.5 

121 

102 

-15.7 



1,384 
1.555 

+ 12.4 
421 
467 

+10.9 
293 
264 
-9.9 
253 
313 

+23.7 
417 
511 

+22.5 



3,095 

3,607 

+ 16.5 

203 

241 

+ 18.7 

653 

724 

+10.9 

210 

253 

+20.5 

2,029 

2,389 

+ 17.7 



56 



Table 4.— 


Index of Crime: Regi 


on, Geographic Division, and State, 1989- 


1990— Continued 












Forcible rape 


Robbery 


Aggravated 
assault 


Burglary 


Larceny-theft 


Motor vehicle theft 


Arson' 


Number 


Rate per 

100,000 


Number 


Rate per 
100.000 


Number 


Rate per 
100,000 


Number 


Rate per 
100.000 


Number 


Rate per 
100,000 


Number 


Rate per 
100,000 


Number 


Rale per 
100,000 


34,807 


40.7 


185,704 


217.1 


347.588 


406.4 


1,328,621 


1,553.5 


2,911,441 


3,404.3 


489,431 


572.3 






38,776 


45.4 


202,626 


237.1 


403,269 


472.0 


1,280,258 


1.498.3 


2.965.926 


3,471.1 


510.926 


598.0 






+ 11.4 


+11.5 


+9.1 


+9.2 


+ 16.0 


+ 16.1 


-3.6 


-3.6 


+ 1.9 


+2.0 


+4.4 


+4.5 






17,568 


40.7 


112,334 


260.5 


196,381 


455.5 


675,553 


1.566.9 


1.524.662 


3,536.3 


238.889 


554.1 






19,811 


45.5 


120,553 


276.7 


228.007 


523.3 


664.383 


1,525.0 


1.563.565 


3,588.9 


250.770 


575.6 






+ 12.8 


+ 11.8 


+7.3 


+6.2 


+16.1 


+ 14.9 


-1.7 


-2.7 


+2.6 


+ 1.5 


+5.0 


+3.9 






569 


84.5 


934 


138.8 


2.208 


328.1 


6.072 


902.2 


20.294 


3,015.5 


2.632 


391.1 






587 


88.1 


1,098 


164.8 


2,647 


397.3 


6.465 


970.5 


21,922 


3,290.8 


2.957 


443.9 






+3.2 


+4.3 


+ 17.6 


+ 18.7 


+ 19.9 


+21.1 


+6.5 


+7.6 


+8.0 


+9.1 


+12.3 


+ 13.5 






186 


30.8 


6.542 


1,083.1 


5,775 


956.1 


1 1.780 


1,950.3 


29,164 


4,828.5 


8.291 


1,372.7 






303 


49.9 


7,365 


1,213.5 


6.779 


1,117.0 


12,035 


1,983.0 


30,326 


4.996.9 


8,109 


1,336.1 






+62.9 


+62.0 


+ 12.6 


+ 12.0 


+17.4 


+16.8 


+2.2 


+ 1.7 


+4.0 


+3.5 


-2.2 


-2.7 






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 






6,781 


52.4 


53.928 


416.8 


98,902 


764.4 


280,832 


2,170.6 


591.210 


4.569.6 


106.902 


826.3 






+7.7 


+5.4 


+5.4 


+3.2 


+21.1 


+ 18.6 


-2.9 


-4.9 


+ 1.3 


-.8 


+4.7 


+2.6 






3.150 


48.9 


17,450 


271.1 


25,937 


403.0 


110,215 


1,712.5 


255.578 


3,971.1 


42.075 


653.7 






3,472 


53.6 


17,067 


263.5 


27,690 


427.4 


104,905 


1,619.4 


240.623 


3.714.3 


43.637 


673.6 






+10.2 


+9.6 


-2.2 


-2.8 


+6.8 


+6.1 


-4.8 


-5.4 


-5.9 


-6.5 


+3.7 


+3.0 






1,783 


38.0 


15,589 


332.1 


22.236 


473.7 


52,735 


1,123.5 


137.043 


2,919.5 


31,177 


664.2 






2,185 


45.7 


17,394 


363.8 


23.809 


497.9 


53,549 


1,119.9 


147,407 


3,082.9 


33,886 


708.7 






+22.5 


+20.3 


+ 11.6 


+9.5 


+7.1 


+5.1 


+ 1.5 


-.3 


+7.6 


+5.6 


+8.7 


+6.7 






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 






2,272 


34.3 


10,082 


152.1 


28,267 


426.4 


101,444 


1,530.4 


202,059 


3.048.3 


18.803 


283.7 






+15.7 


+ 14.7 


+ 15.0 


+ 13.9 


+15.0 


+ 14.0 


+2.7 


+1.8 


+5.4 


+4.4 


+.3 


-.6 






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 






1,873 


53.7 


5.313 


152.4 


26,474 


759.3 


48,132 


1,380.4 


115.144 


3.302.4 


13.453 


385.8 






+14.8 


+ 15.5 


+ 16.2 


+17.1 


+20.1 


+20.9 


-1.6 


-.9 


+6.8 


+7.5 


+ 12.0 


+ 12.8 






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 






1,915 


31.0 


7.626 


123.3 


11.608 


187.6 


45.236 


731.1 


187.564 


3,031.4 


20,263 


327.5 






+ 16.9 


+ 15.2 


+ 17.4 


+ 15.8 


+ 11.1 


+9.5 


-2.0 


-3.4 


+8.6 


+7.1 


+6.98 


+5.3 






347 


18.7 


793 


42.7 


1.463 


78.8 


11,635 


626.5 


26,608 


1.432.8 


2,911 


156.8 






423 


23.6 


680 


37.9 


1.831 


102.1 


■11.785 


657.1 


27,310 


1.522.7 


2,760 


153.9 






+21.9 


+26.2 


-14.2 


-11.2 


+25.2 


+29.6 


+ 1.3 


+4.9 


+2.6 


+6.3 


-5.2 


-1.8 






5,480 


35.6 


18.330 


119.0 


47,711 


309.7 


167.389 


1,086.5 


337,556 


2.191.1 


51,461 


334.0 






5,936 


39.1 


19.892 


131.1 


57,089 


376.2 


166.691 


1,098.4 


360.323 


2.374.3 


54,619 


359.9 






+8.3 


+9.8 


+8.5 


+10.2 


+19.7 


+21.5 


-.4 


+ 1.1 


+6.7 


+8.4 


+6.1 


+7.8 






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 






1,319 


32.6 


5.805 


143.7 


21,039 


520.7 


44,585 


1,103.4 


111.336 


2,755.4 


14,053 


347.8 






+3.4 


+5.2 


+5.3 


+7.3 


+22.9 


+25.3 


-5.6 


-3.8 


+4.3 


+6.3 


+14.7 


+16.9 






917 


24.6 


2.836 


76.1 


9,256 


248.3 


30,526 


819.1 


71,611 


1,921.4 


8,191 


219.8 






1,068 


29.0 


2.545 


69.1 


10,509 


285.2 


28,264 


766.9 


71,594 


1.942.7 


7,350 


199.4 






+ 16.5 


+ 17.9 


-10.3 


-9.2 


+ 13.5 


+ 14.9 


-7.4 


-6.4 




+ 1.1 


-10.3 


-9.3 






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 






1,134 


44.1 


2.217 


86.2 


5,094 


198.0 


32,196 


1,251.2 


53.266 


2.070.0 


5.341 


207.6 






+11.5 


+ 13.7 


+8.0 


+10.1 


+5.4 


+7.4 


+7.3 


+9.2 


+8.1 


+ 10.1 


+ 13.7 


+ 15.8 






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 






2,415 


49.5 


9.325 


191.2 


20.447 


419.2 


61.646 


1,264.0 


124.127 


2,545.1 


27.875 


571.5 






+6.4 


+7.6 


+ 17.7 


+ 19.2 


+23.9 


+25.5 


+3.4 


+4.7 


+ 12.9 


+ 14.4 


+5.9 


+7.2 






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 






13,029 


48.8 


62,181 


232.9 


118.173 


442.5 


449,184 


1.682.2 


1.042,038 


3.902.4 


205,537 


769.7 






+ 10.8 


+12.2 


+13.0 


+ 14.3 


+ 14.2 


+ 15.4 


-7.5 


-6.5 


-.7 


+.4 


+3.2 


+4.4 






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 






1,019 


43.3 


2,661 


113.2 


8.590 


365.4 


28.464 


1.210.9 


66,630 


2.834.4 


6,803 


289.4 






+ 10.3 
1,675 


+ 12.8 
38.2 




+2.4 
237.3 


+12.9 
21,532 


+ 15.5 
491.4 


-1.0 
64.184 


+ 1.4 
1.464.7 


+5.6 
152,209 


+8.1 
3,473.5 


+6.4 
22,842 


+9.0 
521.3 






10.397 




1,781 


42.2 


11.387 


269.8 


24,022 


569.2 


60.677 


1.437.9 


149.752 


3,548.6 


25,393 


601.7 






+6.3 


+10.5 


+9.5 


+ 13.7 


+ 11.6 


+ 15.8 


-5.5 


-1.8 


-1.6 


+2.2 


+ 11.2 


+ 15.4 






1,209 


37.5 


4.070 


126.2 


10,358 


321.3 


50.411 


1.563.6 


92.270 


2,862.0 


18,877 


585.5 






1,479 


47.0 


3.836 


121.9 


11,654 


370.5 


45.531 


1,447.5 


94,432 


3,002.0 


18,926 


601.7 






+22.3 


+25.3 


-5.7 


-3.4 


+12.5 


+ 15.3 


-9.7 


-7.4 


+2.3 


+4.9 


+.3 


+2.8 






7,951 


46.8 


37.913 


223.1 


63,996 


376.6 


342.346 


2,014.9 


741,660 


4,365.0 


150,971 


888.5 






8,750 


51.5 


44.297 


260.8 


73,907 


435.1 


314.512 


1,851.5 


731,224 


4,304.7 


154,415 


909.0 






+ 10.0 


+ 10.0 


+ 16.8 


+ 16.9 


+ 15.5 


+ 15.5 


-8.1 


-8.1 


-1.4 


-1.4 


+2.3 


+2.3 







57 



Table 4.— Index of Crime: Region, Geograpliic Division, and State, 1989-1990— Continued 



Area 



Year 



Population' 



Crime Index total 



Number 



Rate 

100, 



per 
,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 



WcM 



PcKCBt chuge 

Mountain 



Percent change 
Arizona 



Percent change 
Colorado 



Percent change 
Idaho 



Percent change 
Montana 



Percent change 
Nevada 



Percent change 
New Mexico .... 



Percent change 
Utah 



Percent change 
Wyoming 



Percent change 



Pacific 



Percent change 
Alaska 



Percent change 
California 



Percent change 
Hawaii 



Percent change 
Oregon 



Percent change 
Washington 



Percent change 



Puerto Rico' 



Percent change 



1989 
1990 



1989 
1990 



1989 
1990 



1989 
1990 



1989 
1990 



1989 
1990 



1989 
1990 



1989 
1990 



1989 
1990 



1989 
1990 



1989 
1990 



1989 
1990 



1989 
1990 



1989 
1990 



1989 
1990 



1989 
1990 



1989 
1990 



51,796,000 
52,786,082 

13,513,000 
13,658,776 



3,556,000 
3,665,228 



3,317,000 
3,294,394 



1,014,000 
1,006,749 



806,000 
799,065 



1,111,000 
1,201,833 



1,528,000 
1,515,069 



1,707,000 
1,722,850 



475,000 
453,588 



332,851 

330,731 

-.4 

844,606 

856,148 

+ 1.4 

286,604 

289,140 

+.9 

200,328 

199,434 

-.4 

39,860 

40,845 

+2.5 

32,220 

35,975 

+ 11.7 

69,679 

72,874 

+4.6 

100,448 

101,269 

+.8 

96,994 

97,512 

+.5 

18,473 

19,099 

+3.4 



6,550.4 
6,404.6 

-2.2 
6,250.3 
6,268.1 
+.3 
8,059.7 
7,888.7 

-2.1 
6,039.4 
6,053.7 
+.2 
3,931.0 
4,057.1 

+3.2 
3,997.5 
4,502.1 
+ 12.6 
6,271.7 
6,063.6 

-3.3 
6,573.8 
6,684.1 

+ 1.7 
5,682.1 
5,659.9 
-.4 
3,889.1 
4,210.6 

+8.3 



38,283,000 
39,127,306 



527,000 
550,043 



29,063,000 
29,760,021 



548,245 

524,583 

-.9 

25,190 

28,342 

+12.5 

965,652 

965,237 



1,112,000 
1,108,229 



2,820,000 
2,842,321 



4,761,000 
4,866,692 



69,727 

67,676 

-2.9 

173,744 

160,478 

-7.6 

313,932 

30?,850 

-3.5 



6,656.3 
6,452.2 

-3.1 
4,779.9 
5,152.7 

+7.8 
6,763.4 
6,603.6 

-2.4 
6,270.4 
6,106.7 

-2.6 
6,161.1 
5,646.0 

-8.4 
6,593.8 
6,222.9 

-5.6 



3,358,000 
3,522,037 



110,027 

124,371 

+ 13.0 



3,277.0 
3,531.2 

+7.8 



390,667 

426,454 

+9.2 

63,819 

70,590 

+ 10.6 

21,320 

23,911 

+ 12.2 

15,636 

17,328 

+ 10.8 

2,582 

2,776 

+7.5 

935 

1,273 

+36.1 

6,947 

7,222 

+4.0 

10,755 

11,821 

+9.9 

4,417 

4,892 

+ 10.8 

1,227 

1,367 

+ 11.4 



754.2 
807.9 

+7.1 
472.3 
516.8 

+9.4 
599.6 
652.4 

+8.8 
471.4 
526.0 
+ 11.6 
254.6 
275.7 

+8.3 
116.0 
159.3 
+37.3 
625.3 
600.9 

-3.9 
703.9 
780.2 
+10.8 
258.8 
283.9 

+9.7 
258.3 
301.4 
+ 16.7 



3,002,184 

2,954,277 
-1.6 
780,787 
785,558 
+.6 
265,284 
265,229 



184,692 

182,106 

-1.4 

37,278 

38,069 

+2.1 

31,285 

34,702 

+ 10.9 

62,732 

65,652 

+4.7 

89,693 

89,448 

-.3 

92,577 

92,620 



17,246 

17,732 

+2.8 



5,796.2 

5,596.7 

-3.4 

5,778.0 
5,751.3 
-.5 
7,460.2 
7,236.4 

-3.0 
5,568.0 
5,527.8 
-.7 
3,676.3 
3,781.4 

+2.9 
3,881.5 
4,342.8 
+ 11.9 
5,646.4 
5,462.7 

-3.3 
5,870.0 
5,903.9 
+.6 
5,423.4 
5,376.0 
-.9 
3,630.7 
3,909.3 

+7.7 



326,848 

355,864 

+8.9 

2,623 

2,885 

+10.0 

284,136 

311,051 

+9.5 

3,004 

3,113 

+3.6 

14,625 

14,405 

-1.5 

22,460 

24,410 

+8.7 



853.8 
909.5 

+6.5 
497.7 
524.5 

+5.4 

977.7 

1,045.2 

+6.9 
270.1 
280.9 

+4.0 
518.6 
506.8 

-2.3 
471.7 
501.6 

+6.3 



2,221,397 

2,168,719 

-2.4 

22,567 

25,457 

+ 12.8 

1,681,516 

1,654,186 

-1.6 

66,723 

64,563 

-3.2 

159,119 

146,073 

-8.2 

291,472 

278,440 

-4.5 



5,802.6 
5,542.7 

-4.5 
4,282.2 
4,628.2 

+8.1 
5,785.8 
5,558.4 

-3.9 
6,000.3 
5,825.8 

-2.9 
5,642.5 
5,139.2 

-8.9 
6,122.1 
5,721.3 

-6.5 



21,853 
29,912 
+36.9 



650.9 
849.3 
+30.5 



88.174 
94,459 

+7.1 



2,626.1 

2,681.9 

+2.1 



4J17 
4,801 
+11.2 

721 

817 

+ 13.3 

237 

284 

+ 19.8 

146 

138 

-5.5 

26 

27 

+3.8 

23 

39 

+69.6 

91 

116 

+27.5 

132 

139 

+5.3 

45 

52 

+15.6 

21 

22 

+4.8 



3,596 

3,984 

+ 10.8 

42 

41 

-2.4 

3,158 

3,553 

+12.5 

53 

44 

-17.0 

134 

108 

-19.4 

209 

238 

+ 13.9 



467 

600 

+28.5 



'Populations are Bureau of the Census provisional estimates as of July 1, 1989 and decennial census counts for 1990 and are subject to change. 

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

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

'Forcible rape figures furnished by the state-level Uniform Crime Reporting (UCR) Program administered by the Illinois Department of Stale Police were not in accordance with national 
UCR guidelines. The 1989 and 1990 forcible rape totals for Illinois were estimated using the national rate of forcible rapes when grouped by tike agencies. See "Offense Estimation," page 3 for 
details. 

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

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



58 



T«ble 4.— 


Index of Crime: Regi 


on, Geographic Division, and SUte, 1989- 


1990 — Continued 












Forcible rape 


Robbery 


Aggravated 
assault 


Burglary 


Larceny-theft 


Motor vehicle theft 


Anon' 


Number 


Rate per 
100,000 


Number 


Rate per 
100,000 


Number 


Rate per 
100,000 


Number 


Rate per 
100.000 


Number 


Rate per 
100.000 


Number 


Rate per 
100,000 


Number 


Rale per 
100,000 


21,849 


42.2 


122,253 


236.0 


242,248 


467.7 


718,767 


1,387.7 


1,881,776 


3,633.1 


401,641 


775.4 






23,673 


44.8 


138,937 


263.2 


259,043 


490.7 


688,347 


1.304.0 


1.855,237 


3,514.6 


410,693 


778.0 






+8.3 


+6.2 


+13.6 


+11.5 


+6.9 


+4.9 


-4.2 


-6.0 


-1.4 


-3.3 


+2.3 


+.3 






4,856 


35.9 


13,587 


100.5 


44,655 


330.5 


175,242 


1,296.8 


546,176 


4,041.9 


59,369 


439.3 






5,777 


42.3 


14,866 


108.8 


49,130 


359.7 


175,692 


1,286.3 


543,508 


3,979.2 


66,358 


485.8 






+19.0 


+ 17.8 


+9.4 


+8.3 


+ 10.0 


+8.8 


+.3 


-.8 


-.5 


-1.6 


+11.8 


+ 10.6 






1,286 


36.2 


4,944 


139.0 


14,853 


417.7 


59,284 


1,667.2 


181,574 


5,106.1 


24,426 


686.9 






1,500 


40.9 


5,897 


160.9 


16,230 


442.8 


61,206 


1,669.9 


172,375 


4,703.0 


31,648 


863.5 






+ 16.6 


+13.0 


+ 19.3 


+ 15.8 


+9.3 


+6.0 


+3.2 


+.2 


-5.1 


-7.9 


+29.6 


+25.7 






1,202 


36.2 


2,984 


90.0 


11,304 


340.8 


41,475 


1,250.4 


128,195 


3,864.8 


15,022 


452.9 






1,521 


46.2 


2,985 


90.6 


12,684 


385.0 


39,822 


1,208.8 


128,172 


3,890.6 


14,112 


428.4 






+26.5 
236 


+27.6 
23.3 




+.7 
15.0 


+ 12.2 
2,168 


+ 13.0 
213.8 


-4.0 
8,843 


-3.3 
872.1 




+.7 
• 2,645.5 


-6.1 
1,610 


-5.4 
158.8 






152 


26,825 




275 


27.3 


151 


15.0 


2,323 


230.7 


8,187 


813.2 


28,216 


2,802.7 


1,666 


165.5 






+ 16.5 


+ 17.2 


-.7 




+7.1 


+7.9 


-7.4 


-6.8 


+5.2 


+5.9 


+3.5 


+4.2 
225.6 






145 


18.0 


137 


17.0 


630 


78.2 


5,575 


691.7 


23,892 


2,964.3 


1,818 






195 


24.4 


173 


21.7 


866 


108.4 


5,666 


709.1 


27,098 


3,391.2 


1,938 


242.5 






+34.5 


+35.6 


+26.3 


+27.6 


+37.5 


+38.6 


+ 1.6 


+2.3 


+ 13.4 


+ 14.4 


+6.6 


+7.5 






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 






748 


62.2 


2,864 


238.3 


3,494 


290.7 


16,434 


1,367.4 


42,097 


3,502.7 


7,121 


592.5 






+ 13.0 


+4.4 


+2.9 


-4.9 


+2.5 


-5.3 


+5.3 


-2.7 


+3.5 


-4.4 


+ 10.6 


+2.2 






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 






753 


49.7 


1,744 


115.1 


9,185 


606.2 


26,343 


1,738.7 


58,004 


3,828.5 


5,101 


336.7 






+7.3 


+8.3 


+8.5 


+9.4 


+ 10.5 


+11.4 


+.8 


+ 1.6 


-.3 


+.5 


-4.6 


-3.8 






489 


28.6 


898 


52.6 


2,985 


174.9 


15,311 


897.0 


73,210 


4,288.8 


4,056 


237.6 






651 


37.8 


980 


56.9 


3,209 


186.3 


15,172 


880.6 


73,352 


4,257.6 


4,096 


237.7 






+33.1 
134 


+32.2 
28.2 


+9.1 
81 


+8.2 
17.1 


+7.5 
991 


+6.5 
208.6 


-.9 
3,001 


-1.8 
631.8 


+.2 
13.593 


-.7 
2,861.7 


+ 1.0 
652 








137.3 




134 


29.5 


72 


15.9 


1,139 


251.1 


2,862 


631.0 


14,194 


3,129.3 


676 


149.0 








+4.6 


-11.1 


-7.0 


+ 14.9 


+20.4 


-4.6 


-.1 


+4.4 


+9.4 


+3.7 


+8.5 










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 






17,896 


45.7 


124,071 


317.1 


209,913 


536.5 


512,655 


1,310.2 


1,311,729 


3,352.5 


344,335 


880.0 






+5.3 


+2.9 


+ 14.2 


+ 11.7 


+6.2 


+4.0 


-5.7 


-7.7 


-1.8 


-3.9 


+.6 


-1.6 






279 


52.9 


356 


67.6 


1,946 


369.3 


4,358 


826.9 


15,811 


3,000.2 


2,398 


455.0 






401 


72.9 


422 


76.7 


2,021 


367.4 


4,919 


894.3 


17,428 


3,168.5 


3,110 


565.4 






+43.7 


+37.8 


+ 18.5 


+13.5 


+3.9 


-.5 


+ 12.9 


+8.2 


+ 10.2 


+5.6 


+29.7 


+24.3 






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 






12,688 


42.6 


112,208 


377.0 


182,602 


613.6 


400,392 


1,345.4 


951.580 


3,197.5 


302,214 


1,015.5 






+6.0 


+3.4 


+ 16.4 


+ 13.6 


+5.8 


+3.3 


-2.5 


-4.7 


-2.2 


-4.5 


+ 1.3 


-1.1 






496 


44.6 


925 


83.2 


1,530 


137.6 


14,939 


1,343.4 


47,374 


4,260.3 


4,410 


396.6 






360 


32.5 


1,013 


91.4 


1,696 


153.0 


13,611 


1,228.2 


46,735 


4,217.1 


4,217 


380.5 






-27.4 


-27.1 


+9.5 


+9.9 


+ 10.8 


+11.2 


-8.9 


-8.6 


-1.3 


-1.0 


-4.4 


-4.1 






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 






1,332 


46.9 


4,102 


144.3 


8,863 


311.8 


32,273 


1,135.4 


100,765 


3,545.2 


13,035 


458.6 






+1.4 


+.6 


-4.2 


-4.9 


-.4 


-1.1 


-19.7 


-20.3 


-2.8 


-3.6 


-14.4 


-15.1 






2,938 


61.7 


6,672 


140.1 


12,641 


265.5 


73,563 


1,545.1 


196,122 


4,119.3 


21,787 


457.6 






3,115 


64.0 


6,326 


130.0 


14,731 


302.7 


61,460 


1,262.9 


195,221 


4,011.4 


21,759 


447.1 






+6.0 


+3.7 


-5.2 


-7.2 


+ 16.5 


+ 14.0 


-16.5 


-18.3 


-.5 


-2.6 


-.1 


-2.3 






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 






426 


12.1 


20,923 


594.1 


7,963 


226.1 


34,781 


987.5 


39,795 


1,129.9 


19,883 


564.5 






-16.3 


-20.4 


+58.1 


+50.8 


+4.1 


-.7 


+3.1 


-1.7 


+4.8 


-.1 


+20.7 


+ 15.0 







59 



Table 5.— Index of Crime, SUte, 1990 



Population 



Crime 
Index 
toul 



Modified 
Crime 
Index 

total' 



Violent 
crimc^ 



Property 
crime^ 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



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 repotting 

Other Cities 

Area actually reporting 
Estimated totals 

Rural 

Area actually reporting 
Estimated totals 

State Total 

Rate per 100,000 
inhabitants 

ARKANSAS 

Metropolitan Statistical 
Area 

Area actually reporting 
Other Cities 

Area actually reporting 

Estimated totals 

Rural 

Area actually reporting 
Slate Total 

Rate per 100,000 
inhabitants 

CALIFORNU 

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 

See footnotes at end of table. 



2,724,153 




98.5% 


160,943 


100.0% 


162,900 


550,116 




93.5% 


26,641 


100.0% 


28,500 


766,318 




92.3% 


6,653 


100.0% 


7,204 


4,040,587 


198,604 



4,915.2 



226,338 




100.0% 


13,007 


143,491 




86.9% 


8,141 


100.0% 


9,368 


180,214 




100.0% 


5,967 


550,043 


28,342 



5,152.7 



2,788,981 




100.0% 


247,199 


471,165 




96.7% 


31,453 


100.0% 


32,511 


405,082 




89.5% 


8,439 


100.0% 


9,430 


3,665,228 


289,140 



7,888.7 



942,502 




100.0% 


70,675 


560,035 




99.6% 


31,557 


100.0% 


31,668 


848,188 




100.0% 


12,065 


2J50,725 


114.408 



28,493,466 

99.9% 

100.0% 

531,422 

99.7% 

100.0% 

735,133 

100.0% 

29,760,021 



4,866.9 



1,909,739 
1,909,811 

32,959 
33,073 

22,353 
1,%5,237 

6,603.6 



23,263 

23,522 

4,002 
4,281 

764 

827 

28,630 

708.6 



1,330 

716 
824 

731 
2,885 

524.5 



20,279 

2,306 
2,383 

1,117 

1,249 

234>11 

652.4 



8,506 

2,950 
2,961 

1,044 
12,511 

532.2 



305,019 
305,028 

3,288 
3,300 

2,723 
311,051 

1,045.2 



137,680 
139,378 

22,639 
24,219 

5,889 

6,377 

169,974 

4,206.7 



11,677 

7,425 
8,544 

5,236 
25,457 

4,628.2 



226,920 

29,147 
30,128 

7,322 

8,181 

265,229 

7,236.4 



62,169 

28,607 
28,707 

11,021 
101,897 

4,334.7 



1,604,720 
1,604,783 

29,671 

29,773 

19,630 
1.654,186 

5,558.4 



361 
364 

47 
50 

49 

53 

467 

11.6 



10 



7.5 



226 

23 
24 

30 

34 

284 

7.7 



121 



69 
241 



10.3 



3,467 
3,467 

20 
20 

66 
3,553 

11.9 



1,100 
1,111 

137 
147 

56 

61 

1319 

32.6 



203 



94 
108 



90 
401 



72.9 



1,262 

133 

137 

90 

101 

1,500 

40.9 



725 

168 
169 

125 
1,019 

43.3 



12,236 
12,236 

252 
253 

199 
12,688 

42.6 



5,212 
5,259 

446 

477 

64 

69 

5,805 

143.7 



350 



19 
422 



76.7 



5,547 

278 
287 

56 

63 

5,897 

160.9 



2,120 

458 
460 

81 
2,661 

113.2 



111,506 
111,509 



520 

522 



177 
112,208 



377.0 



16,590 
16,788 

3,372 
3,607 

595 

644 

21,039 

520.7 



767 



565 
650 



604 
2,021 



367.4 



13,244 

1,872 
1,935 

941 

1,051 

16,230 

442.8 



5,540 

2,273 
2,281 

769 
8,590 

365.4 



177,810 
177,816 

2,496 
2,505 

2,281 
182,602 

613.6 



34,968 
35,398 

5,605 
5,996 

2,947 

3,191 

44,585 

1,103.4 



2,060 

1,194 
1,374 

1,485 
4,919 

894.3 



51,943 

5,827 
6,023 

2,900 

3,240 

61,206 

1,669.9 



16,297 

7,761 
7,788 

4,379 
28,464 

1,210.9 



385,805 
385,820 

7,065 
7,089 

7,483 
400392 

1,345.4 



90,210 
91,359 

16,108 
17,232 

2,535 

2,745 

111336 

2,755.4 



8,083 

5,380 
6,191 

3,154 
17,428 

3,168.5 



145,673 

21,620 
22,348 

3,897 

4,354 

172375 

4,703.0 



41,295 

19,372 
19,440 

5,895 
66,630 

2,834.4 



920,040 
920,078 

20,522 
20,593 

10,909 
951,580 

3,197.5 



12,502 
12,621 

926 
991 

407 

441 

14,053 

347.8 



1,534 



851 
979 



597 
3,110 



565.4 



29,304 

1,700 
1,757 

525 

587 

31,648 

863.5 



4,577 

1,474 
1,479 

747 
6,803 

289.4 



298,875 
298,885 

2,084 
2,091 

1,238 
302,214 

1,015.5 



60 



TaUc S.— Index of Crime, State, 199fr-Continiied 



COLORADO 

Metropolitan Statistical 
Area 

Area actually reporting 

Estimated totals 

Other Cities 

Area actually reporting 
Rural 

Area actually reporting 
Slate 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 CX)LUMBU 

Metropolitan Statistical 

Area 

Area actually reporting ... 

Other Cities 

Rural 

State Total 

Rate per 100,000 
inhabitants 



FLORIDA 

Metropolitan Statistical 

Area 

Area actually reporting 
Estimated totals 

Other Cities 

Area actually repotting 
Estimated totals 

Rural 

Area actually reporting 

Stale Total 

Rate per 100,000 
inhabitants 



GEORGU 

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 



PopuUlioD 



2,678,974 
99.9% 
100.0% 
280,630 
100.0% 
334,790 
100.0% 
3,294J94 



3,008,400 
100.0% 
90,318 
100.0% 
188,398 
100.0% 

3087,116 



Crime 
Index 
loul 



170,528 
170,574 

19,103 

9,757 
199,434 

6,053.7 



169,656 

3,602 

3,810 
177,068 

5,386.7 



441,946 




100.0% 


25,148 


73,218 




100.0% 


5,778 


151,004 




100.0% 


4,783 


«««,1«8 


35,709 




5,360.4 


606,900 




100.0% 


65,389 


NONE 




NONE 




606,900 


65,389 




10,774.3 


11,750,628 




99.8% 


1,078,769 


100.0% 


1,080,547 


295,897 




98.0% 


24,386 


100.0% 


24,884 


891,401 




100.0% 


34,503 


12,937,926 


1,139,934 




8,810.8 


4,212,380 




98.4% 


332,409 


100.0% 


337,199 


836,441 




91.8% 


55,675 


100.0% 


60,665 


1,429,395 




99.1% 


39,932 


100.0% 


40,297 


6,478,216 


438,161 




6,763.6 



ModiHed 
Crime 
lodex 
total' 



Violenl 
crime^ 



1 5,706 
15,710 

950 

668 
17J28 

526.0 



17,511 

153 

537 
18,201 

553.7 



2,739 

673 

953 
.4365 

655.2 



14,919 

14,919 

2,458.2 



152,095 
152,302 

3,517 
3,589 

5,099 
160,990 

1,244.3 



36,931 
37,324 

6,699 
7,300 

4,332 

4,372 

48,996 

756.3 



Properly 
crime* 



154,822 
154,864 

18,153 

9,089 
182,106 

5,527.8 



152,145 

3,449 

3,273 
158,867 

4,833.0 



22,409 

5,105 

3,830 
31344 

4,705.1 



50,470 

50,470 

8,316.0 



926,674 
928,245 

20,869 
21,295 

29,404 
978,944 

7,566.5 



295,478 
299,875 

48,976 
53,365 

35,600 

35,925 

389,165 

6,007.3 



Murder 
and non- 
ne^igent 

man- 
slaughter 



123 
123 



138 

4.2 

161 

2 

3 
166 

5.1 

18 

4 

11 
33 

5.0 

472 

472 
77.8 



1,278 
1,279 

27 
28 

72 
U79 

10.7 



552 
556 

97 
106 

104 
105 

767 

11.8 



Forcible 
rape 



1,420 
1,420 

72 

29 
1,521 

46.2 



859 

19 

40 
918 

27.9 

323 

70 

194 
587 

88.1 

303 

303 

49.9 



6,293 
6,299 

101 
103 

379 
6,781 

52.4 



2.571 
2,604 

387 
422 

442 

446 

3,472 

53.6 



Robbery 



2,885 
2,886 

86 

13 
2,985 

90.6 



7,637 

38 

42 
7,717 

234.8 



913 

132 

53 
1,098 

164.8 

7,365 

7365 
1.213.5 



52,481 
52,553 

795 
811 

564 
53,928 

416.8 



14,525 
14,673 

1,613 
1,758 

630 

636 

17,067 

263.5 



Aggra- 
vated 
assault 



11.278 
11,281 

785 

618 
12,684 

385.0 



8,854 

94 

452 
9,400 

286.0 



1,485 

467 

695 
2,647 

397.3 



6,779 

6,779 
1,117.0 



92,043 
92,171 

2,594 
2,647 

4.084 
98,902 

764.4 



19.283 
19.491 

4,602 
5,014 

3.156 

3.185 

27,690 

427.4 



Burglary 



Larceny- 
theft 



35.052 
35.060 

2.751 

2.011 
39,822 

1,208.8 



38,430 

695 

1,230 
40355 

1,227.7 



4,481 

813 

1,171 
6,465 

970.5 



12,035 

12,035 

1.983.0 



263,140 
263,546 

5,769 
5,887 

11.399 
280,832 

2,170.6 



75,532 
76,589 

12,991 

14,155 

14.033 

14.161 

104,905 

1,619.4 



106.886 
106,918 

14,704 

6,550 
128,172 

3,890.6 



90,227 

2,544 

1,714 
94,485 

2,874.4 



15,461 

4,058 

2.403 
21,922 

3,290.8 



30,326 



30326 



Motor 
vehicle 
theft 



12,884 
12,886 

698 

528 
14,112 

428.4 



23,488 

210 

329 
24,027 

730.9 



2,467 

234 

256 
2,957 

443.9 



8,109 



8,109 



4,996.9 1336.1 



560,160 
561,174 

13,861 
14.144 

15,892 
591,210 

4,569.6 



182,966 
185,805 

33,073 
36,037 

18,611 

18.781 

240,623 

3,7143 



103.374 
103,525 

1,239 
1.264 

2.113 
106,902 

826.3 



36,980 
37,481 

2,912 
3.173 

2.956 

2.983 

43,637 

673.6 



See footnotes at end of table. 



61 



Table S.— Index of Crime, State, 1990— Continued 



PopulaliOD 



Crime 
Index 
total 



Modified 
Crime 
Index 
total' 



Violent 
crimc^ 



Property 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



HAWAII 

Metropolitan Statistical 
Area 

Area actually reporting 
Other Cities 

Area actually reporting 
Rural 

Area actually reporting 
State 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 

Rate per 100,000 
inhabitants 

ILUNOIS< 

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 

INDIANA 

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 

IOWA 

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 

See footnotes at end of table. 



836,231 
100.0% 
37,054 
100.0% 

234,944 

100.0% 

1,108,229 



9.413,349 

99.8% 

100.0% 

1,038,566 

97.7% 

100.0% 

978,687 

100.0% 

11,430,602 



51,028 

3,392 

13,256 
67,676 

6,106.7 



205,775 




100.0% 


9,728 


385.966 




99.7% 


22,455 


100.0% 


22,530 


415.008 




97.4% 


8,365 


100.0% 


8,587 


1,006,749 


40,845 



4,057.1 



678,416 
5,935.1 



3.796.394 




84.3% 


184.395 


100.0% 


208,188 


615,828 




73.0% 


23,232 


100.0% 


31,806 


1,131,937 




41.1% 


8,072 


100.0% 


19,657 


5,544,159 


259,651 



4.683.3 



1.222.767 




100.0% 


71,797 


674.640 




99.2% 


29,262 


100.0% 


29,484 


879,348 




98.1% 


12,346 


100.0% 


12,590 


2,776,755 


113,871 



2,412 

155 

546 
3,113 

280.9 



644 

1,390 
1,394 

719 

738 

2,776 

275.7 



4.100.9 



110,575 

967.4 



20.299 
21.836 

1,461 
2.001 

1.001 
2.438 
26,275 

473.9 



5.780 

1,862 
1,877 

651 

664 

8,321 

299.7 



48,616 

3,237 

12,710 
64,563 

5,825.8 



9,084 

21,065 
21,136 

7.646 

7.849 

38,069 

3,781.4 



516,717 
517,379 

37,775 
38,674 

11,788 
567,841 

4,967.7 



164.096 
186.352 

21,771 
29,805 

7.071 

17,219 

233,376 

4,209.4 



66,017 

27,400 
27,607 

11,695 

11.926 

105,550 

3.801.2 



4.0 



11 
11 

12 
12 

27 

2.7 



1,153 
1,153 

21 

22 

7 
1,182 

10.3 



246 
266 

7 
10 

28 

68 

344 

6.2 



37 



9 

9 

54 

1.9 



278 
26 



56 
360 



32.5 



73 

134 
134 

66 
68 

275 

27.3 



4,505 

39.4 



1,592 

1,755 

103 
141 

85 

207 

2,103 

37.9 



389 

81 

82 

38 

39 

510 

18.4 



889 

39 

85 
1,013 

91.4 



55 

72 
72 

23 

24 

151 

15.0 



44,632 
44,651 

328 
336 

51 
45,038 

394.0 



4,786 
5,081 

243 
J33 

84 

205 

5,619 

101.3 



936 

123 

124 

28 

29 

1,089 

39.2 



1.211 

86 

399 
1,696 

153.0 



512 

1,173 
1,177 

618 

634 

2,323 

230.7 



57,415 
57,447 

1,796 
1,839 

564 
59,850 

523.6 



13,675 
14,734 

1,108 
1,517 

804 

1,958 

18,209 

328.4 



4,418 

1,650 
1,663 

576 

587 

6,668 

240.1 



9,785 

668 

3,158 
13,611 

1,228.2 



2,002 

3,655 
3,667 

2,453 
2,518 
8,187 

813.2 



109,328 
109,450 

7.605 
7.786 

4,270 
121,506 

1,063.0 



36,797 
41,477 

3.787 
5.185 

2,314 

5,635 

52,297 

943.3 



13,918 

4,784 
4,820 

3.638 

3,710 

22,448 

808.4 



35,514 

2,392 

8,829 
46,735 

4,217.1 



6,695 

16,635 
16.691 

4.705 
4.830 
28,216 

2.802.7 



335.782 
336.262 

28.917 
29,605 

6.995 
372,862 

3.262.0 



108.070 
123.644 

16.892 
23.125 

4.095 

9.972 

156,741 

2.827.1 



49.018 

21.557 
21,720 

7,498 

7,646 

78,384 

2,822.9 



3.317 

177 

723 
4,217 

380.5 



387 

775 
778 

488 

501 

1,666 

165.5 



71.607 
71.667 

1.253 
1,283 

523 
73,473 

642.8 



19.229 
21.231 

1.092 
1.495 

662 

1,612 

24,338 

439.0 



3,081 

1.059 
1,067 

■ 559 

570 

4,718 

169.9 



62 



Table 5.— Index of Crime, State, 1990— Continued 



Population 



Crime 
Index 
total 



Modified 
Crime 
Index 
total' 



Violent 

crimc^ 



Property 

crimc^ 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 

vehicle 
theft 



KANSAS 
Metropolitan Statistical 

Area 

Area actually reponing 

Other Cities 

Area actually reporting 

Estimated totals 

Rural 

Area actually reporting 

State Total 

Rate per 100,000 
itihabitants 

KEHWCKY 

Metropolitan Statistical 

Area 

Area actually reporting 
Estimated totals 

Other Cities 

Area actually reporting 
Estimated totals 

Rural 

Area actually reponing 

Slate 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 
inhabitants 

MAINE 

Metropolitan Statistical 
Area 

Area actually reponing 
Other Cities 

Area actually reporting 
Rural 

Area actually reporting 
State Total 

Rate per 100,000 
inhabitants 

MARYLAND 

Metropolitan Statistical 
Area 

Area actually reporting 
Other Cities 

Area actually reporting 
Rural 

Area actually reponing 
State Total 

Rate per 100,000 

inhabitants 

See footnotes at end of uble. 



1,334,257 




100.0% 


89,931 


680,665 




99.2% 


30,800 


100.0% 


31,051 


462,652 




100.0% 


7,682 


2,477,574 


128,664 



5,193.1 



1,713,911 




99.9% 


80,760 


100.0% 


80,799 


591,420 




99.8% 


22.994 


100.0% 


23,040 


1,379,965 




100.0% 


17,755 


3,685,296 


121,594 



3,299.4 



2,935,482 




92.8% 


222,089 


100.0% 


234,457 


431,242 




54.5% 


12,352 


100.0% 


22,652 


853,249 




59.8% 


9,943 


100.0% 


16,627 


4,219,973 


273,736 



6,486.7 



452,972 




100.0% 


22,496 


424,440 




100.0% 


16,335 


350,516 




100.0% 


6,575 


,227,928 


45,406 



3,697.8 



4,438,887 




100.0% 


263,742 


85,833 




100.0% 


8,501 


256,748 




100.0% 


6,539 


4,781,468 


278,782 



5,830.5 



8,450 

2,035 
2,051 

592 
11,093 

447.7 



8,407 
8,412 

2,971 
2,977 

2,997 
14J86 

390.4 



30,712 
32,065 

1,511 
2,770 

1,841 

3,079 

374>14 

898.4 



920 

539 

300 
1,759 

143.2 



41,657 

1,115 

1.168 
43,940 

919.0 



81,481 

28,765 
29,000 

7,090 
117,571 

4,745.4 



72,353 
72,387 

20,023 
20,063 

14,758 
107,208 

2,909.1 



191,377 
202,392 

10,841 
19,882 

8,102 

13,548 

235,822 

5.588.2 



21,576 

15,796 

6,275 
43,647 

3,554.5 



222,085 

7,386 

5,371 
234,842 

4,911.5 



75 



4.0 



112 
112 



135 
264 



7.2 



577 
594 

28 
51 

47 

79 

724 

17.2 



2.4 



527 
6 



19 
552 



11.5 



758 

180 
181 

63 
1,002 

40.4 



593 
593 

135 
135 

340 
1,068 

29.0 



1,368 
1,446 

46 
84 

150 

251 

1,781 

42.2 



100 

81 

61 
242 

19.7 

2,041 

58 

86 
2,185 

45.7 



2,712 

170 
171 

31 
2,914 

117.6 



2,118 
2,119 

268 
269 

157 
2,545 

69.1 



10,596 
10,934 

178 
326 

76 

127 

11J87 

269.8 



229 

64 

15 
308 

25.1 

17,128 

174 

92 
17494 

363.8 



4,905 

1,667 
1,681 

493 
7,079 

285.7 



5,584 
5,588 

2,551 
2.556 

2,365 
10,509 

285.2 



18,171 
19,091 

1,259 
2,309 

1,568 
2,622 
24,022 

569.2 



579 

384 

216 
1.179 

96.0 



21,961 

877 

971 
23,809 

497.9 



19,874 

6,238 
6,289 

2,738 
28,901 

1,166.5 



17,490 

17,497 

4,572 
4,581 

6,186 
28,264 

766.9 



49,028 
51,694 

2,473 
4,535 

2,660 

4,448 

60,677 

1,437.9 



4,647 

2,825 

2,634 
10,106 

823.0 



50,250 

1,526 

1,773 
53,549 

1,119.9 



54,623 

21,530 
21,706 

4.032 
80,361 

3,243.5 



50,206 
50.231 

14,181 
14,209 

7,154 
71,594 

1,942.7 



118,965 
126,414 

8,079 
14,817 

5,096 

8,521 

149,752 

3,548.6 



15,777 

12,319 

3,276 
31,372 

2,554.9 



138,629 

5,539 

3,239 
147,407 

3.082.9 



6,984 

997 
1,005 

320 
8,309 

335.4 



4,657 
4,659 

1,270 
1,273 

1,418 
7,350 

199.4 



23,384 
24,284 

289 
530 

346 

579 

25393 

601.7 



1,152 

652 

365 
2,169 

176.6 



33,206 
321 



359 
33,886 



708.7 



63 



Table 5.— Index of Crime, State, 1990— Continued 



Population 



Crime 
Index 
total 



Modified 
Crime 
Index 
total' 



Violent 
crime' 



Property 



Murder 
and non- 
nc^igent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
tbeft 



MASSACHUSETTS 

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 

MICHIGAN 

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 

MINNESOTA 

Metropolitan Statistical 
Area 

Area actually reporting 
Other Cities 

Area actually reporting 
Rural 

Area actually reporting 
State 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 

Slate Total 

Rate 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 

Rate per 100,000 
inhabitants 

See footnotes at end of ubie. 



5,469,677 




87.0% 


265,653 


100.0% 


292,171 


534,562 




62.5% 


16,517 


100.0% 


26,442 


12,186 




100.0% 


129 


6,016,425 


318,742 



2,961,112 
100.0% 
531,794 
100.0% 
882,193 
100.0% 

4,375,099 



5,297.9 



7,449,768 




98.1% 


486.412 


100.0% 


494,422 


677,698 




97.5% 


28,338 


100.0% 


29,067 


1,167,831 




100.0% 


33,743 


9,295,297 


557,232 



5,994.8 

158,048 

23,026 

17,503 
198,577 

4,538.8 



775,674 




79.9% 


42,700 


100.0% 


47,299 


667,474 




74.1% 


31,049 


100.0% 


41,908 


1,130,068 




35.8% 


3,706 


100.0% 


10,354 


2,573,216 


99,561 



3,869.1 



3,387.465 




96.8% 


220,530 


100.0% 


224,395 


484,084 




88.0% 


19,927 


100.0% 


22,648 


1,245,524 




70.3% 


10,534 


100.0% 


14,981 


5,117,073 


262,024 



5,120.6 



38,365 
41,043 

2,011 
3,219 

38 
44,300 

736.3 



67,902 
68,592 

1,715 
1,759 

3,117 
73,468 

790.4 



11,739 
845 



808 
13,392 



306.1 



3,325 
3,726 

2,566 
3,463 

562 
1,569 
8,758 

340.4 



32.974 
33,299 

1,335 
1,517 

1,255 

1,786 

36.602 

715.3 



227,288 
251,128 

14,506 

23,223 

91 
274,442 

4,561.5 



418,510 
425,830 

26,623 
27,308 

30,626 
483,764 

5,204.4 



146,309 

22,181 

16,695 
185,185 

4,232.7 



39,375 
43,573 

28.483 
38,445 

3,144 

8,785 

90,803 

3,528.8 



187.556 
191.096 

18.592 
21.131 

9.279 

13,195 

225,422 

4,405.3 



228 
235 



243 

4.0 



926 
931 



34 
971 



10.4 



13 
117 



2.7 



80 
94 

78 
105 

41 
114 
313 

12.2 



385 
389 

18 
20 

28 

40 

449 

8.8 



1,692 
1,807 

137 
219 

4 
2,030 

33.7 



5,710 
5,769 

371 
381 

1,059 
7,209 

77.6 



1.181 

152 

154 
1,487 

34.0 



450 
567 

226 
305 

94 

262 

1,134 

44.1 



1.393 
1,417 

107 
122 

87 

124 

1,663 

32.5 



12,245 
12,803 

161 

258 

1 
13,062 



217.1 



21,354 
21,517 



119 

122 



113 

21,752 



234.0 



3,983 
55 



19 
4,057 



92.7 



1,218 
1,285 

552 
745 

67 

187 

2,217 

86.2 



10,781 
10,838 

145 
165 

49 

70 

11,073 

216.4 



24,200 
26,198 

1,708 
2,734 

33 
28,965 

481.4 



39,912 
40,375 

1,219 
1.250 

1.911 
43,536 

468.4 



6.477 
632 



622 
7,731 



176.7 



1,577 
1,780 

1.710 
2.308 

360 
1.006 
5,094 

198.0 



20,415 
20,655 

1,065 
1,210 

1,091 

1,552 

23,417 

457.6 



54,405 
59,941 

4,356 
6,974 

27 
66,942 

1,112.7 



89,316 
90.526 

4,119 
4,225 

11,524 
106,275 

1,143.3 



31,528 

2,887 

5,276 
39,691 

907.2 



14,541 
16,563 

8,423 
11,369 

1,526 

4,264 

32,196 

1.251.2 



44.104 
44.923 

3.338 
3,794 

4,092 

5,819 

54,536 

1,065.8 



123,563 
137,655 

8,893 

14,237 

41 
151,933 

2,525.3 



266,216 
271.481 

21.527 
22.081 

17.591 
311,153 

3,347.4 



101.135 
18.114 



10.251 
129,500 



2,959.9 



22.200 
24.045 

18.691 

25.228 

1,429 

3.993 

53,266 

2.070.0 



1 1 7.649 
120.094 

14,502 
16,482 

4.719 

6.711 

143,287 

2.800.2 



64 



Table 5.— Index of Crime, SUte, 1990— Continued 



Population 



Cnmc 
Index 
total 



Modified 
Cnme 
Index 
total' 



Violent 
cnmc- 



Property 
crime' 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



MONTANA 

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 

NEBRASKA 

Metropolitan Statistical 

Area 

Area actually reporting 

Other Cities 

Area actually reporting 
Estimated totals 

Rural 

Area actually reporting 
Estimated totals 

Snte Total 

Rate per 100,000 
inhabitants 

NEVADA 

Metropolitan Statistical 

Area 

Area actually reporting 
Estimated totals 

Other Cities 

Area actually reporting 
Estimated totals 

Rural 

Area actually reporting 
Estimated totals 

Stale Total 

Rate per 100,000 
inhabitants 

NEW HAMPSHIRE 

Metropolitan Statistical 

Area 

Area actually reporting 
Estimated totals 

Other Cities 

Area actually reporting 
Estimated totals 

Rural 

Area actually reporting 
Estimated totals 

Stale Total 

Rate per 100,000 
Inhabitants 

NEW JERSEY 

Metropolitan Statistical 

Area 

Area actually reporting 

Other Cities 

Rural 

State Total 

Rate per 100,000 

inhabitants 

See footnotes at end of table. 



191,162 
100.0% 
189.810 

81.8% 
100.0% 
418,093 

92.6% 
100.0% 
799,065 



7,730,188 
100.0% 
NONE 
NONE 

7,730,188 



11.986 

10.759 
13,147 

10,038 
10.842 
35,97S 

4,502.1 



766,017 




100.0% 


44,122 


382,956 




98.4% 


15.886 


100.0% 


16.142 


429,412 




98.9% 


6,167 


100.0% 


6,235 


1,578,385 


66,499 



4,213.1 



996,126 




95.2% 


64,337 


100.0% 


66,886 


36,331 




59.4% 


1,277 


100.0% 


2,148 


169,376 




59.8% 


2.297 


100.0% 


3.840 


1,201,833 


72.874 



6,063.6 



591,129 




98.4% 


26,094 


100.0% 


26,451 


337,563 




93.9% 


12,069 


100.0% 


12,858 


180.560 




96.3% 


1,085 


100.0% 


1,126 


,109,252 


40,435 



3,645.2 

421.080 

421.080 

5.447.2 



325 

358 
438 

473 

510 

1,273 

159.3 



4.348 

546 
555 

303 

306 

5,209 

330.0 



6,312 
6,506 

98 
165 

330 

551 

7,222 

600.9 



824 
836 

494 

527 

93 

96 

1,459 

131.5 



50,057 

50,057 

647,6 



11.661 

10,401 
12.709 

9.565 
10.332 
34,702 

4,342.8 



39,774 

15,340 
15,587 

5.864 

5.929 

61,290 

3.883.1 



58,025 
60.380 

1,179 
1.983 

1.967 

3.289 

65,652 

5,462.7 



25.270 
25,615 

11,575 
12,331 

992 

1.030 

38,976 

3.513.7 



371.023 

371,023 
4.799.7 



23 



10 

6 

6 

39 

4.9 



43 

2.7 

101 
104 

4 

7 

3 

5 

116 

9.7 

14 
14 

2 

2 

5 

5 

21 

1.9 

432 

432 

5.6 



77 

48 
59 

55 

59 

195 

24.4 



347 

70 
71 

54 

55 

473 

30.0 



669 
713 

6 
10 

15 

25 

748 

62.2 



211 
214 

131 
140 

31 

32 

386 

34.8 



2.307 

2,307 
29.8 



93 

40 
49 

29 
31 
173 

21.7 



744 

42 
43 

20 

20 

807 

51.1 



2.751 
2.799 

10 

17 

29 

48 

2.864 

238.3 



232 
234 

57 
61 

7 

7 

302 

27.2 

23,269 

23,269 

301.0 



132 

262 
320 

383 
414 
866 

108.4 



3.236 

420 

427 

221 

223 

3,886 

246.2 



2,791 
2,890 

78 
131 

283 

473 

3,494 

290.7 



367 
374 

304 

324 

50 

52 

750 

67.6 



24,049 

24,049 

311.1 



1,927 

1,180 
1,442 

2,126 
2,297 
5,666 

709.1 



7,489 

2,339 
2,377 

1,541 

1,558 

1 1,424 

723.8 



14.049 
14.585 

342 
575 

762 

1.274 

16,434 

1.367.4 



5.218 
5.285 

2.284 
2.433 

424 

440 

8,158 

735.5 



78.628 

78,628 

1.017.2 



9.100 

8.751 
10.693 

6.763 

7.305 

27.098 

3.391.2 



30.284 

12.485 
12.686 

4.039 

4.084 

47.054 

2,981.1 



37,366 
39,011 

764 
1,285 

1.077 

1.801 

42.097 

3.502.7 



18.030 
18.282 

8,726 
9,296 

513 

533 

28,111 

2,534.2 



219.767 

219,767 

2,843.0 



634 

470 

574 

676 

730 

1,938 

242.5 



2.001 

516 

524 

284 

287 

2,812 

178.2 



6.610 

6.784 

73 
123 

128 

214 

7.121 

592.5 



2.022 
2.048 

565 
602 

55 

57 

2.707 

244.0 



72.628 

72,628 

939.5 



65 



Table 5.— Index of Crime, State, 1990— Continued 



Population 



Crime 
Index 
total 



Modified 
Crime 
Index 
total' 



Violent 
crimc^ 



Property 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 

assault 



Burglary 



Lanxny- 
theft 



Motor 
vehicle 
theft 



NEW MEXICO 
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 

NEW YORK 

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 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 
Estimated totals 

Other Cities 

Area actually reporting 
Estimated totals 

Rural 

Area actually reporting 
Estimated totals 

State TotaJ 

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 

State Total 

Rate per 100,000 
inhabitants 



733,130 




86.2% 


53,855 


100.0% 


61,464 


462,276 




84.0% 


25,737 


100.0% 


30,632 


319,663 




62.2% 


5,702 


100.0% 


9,173 


1,515.069 


101,269 



6,684.1 



16,386,674 




99.5% 


1.090,993 


100.0% 


1,093,999 


687,181 




98.9% 


28,744 


100.0% 


29,049 


916,600 




96.0% 


20,952 


100.0% 


21,826 


17,990,455 


1,144,874 



6,363.8 



3,757,924 




99.7% 


243,532 


100.0% 


244,420 


904,499 




93.4% 


68,048 


100.0% 


72,840 


1,966,214 




95.4% 


44,251 


100.0% 


46,378 


6,628,637 


363,638 



5,485.9 



257,388 




98.1% 


10,124 


100.0% 


10,367 


142,562 




77.5% 


4,031 


100.0% 


5,204 


238,850 




30.5% 


944 


100.0% 


3,097 


638,800 


18,668 



2,922.4 



8,557,019 




87.8% 


426,510 


100.0% 


460,986 


855,059 




81.9% 


34,387 


100.0% 


41,989 


1,435,037 




69.9% 


15,652 


100.0% 


22,398 


10,847,115 


525,373 



4,843.4 



6,524 
7,105 

2,557 
3,043 

1,040 

1,673 

11,821 

780.2 



208,107 
208,348 

2,238 
2,261 

1,775 

1,849 

212,458 

1,180.9 



28,107 
28,201 

8,148 

8,722 

4,207 

4,409 

41,332 

623.5 



234 
237 

83 
107 

39 
128 
472 

73.9 



48,376 
50,668 

2,006 
2,450 

1,248 

1,786 

54,904 

506.2 



47,331 
54,359 

23,180 
27,589 

4.662 

7.500 

89,448 

5.903.9 



882,886 
885,651 

26,506 
26,788 

19,177 

19,977 

932,416 

5,182.8 



215,425 
216,219 

59,900 
64,118 

40,044 
41,969 
322,306 

4,862.3 



9,890 
10,130 

3,948 
5,097 

905 
2,969 
18,1% 

2,848.5 



378,134 
410,318 

32,381 
39.539 

14,404 

20.612 

470,469 

4.337.3 



61 
71 

24 
29 

24 

39 

139 

9.2 



2.571 
2,573 

8 
8 

23 

24 

2,605 

14.5 



391 

392 

128 
137 

174 
182 
711 

10.7 



585 
608 

17 
21 

24 

34 

663 

6.1 



356 
415 

169 
201 

85 
137 
753 

49.7 



5,109 
5,119 

116 

117 

127 

132 

5,368 

29.8 



1,625 
1.630 

321 
344 

284 

298 

2,272 

34.3 



99 
100 



114 

17.8 



4.416 
4.652 

230 

281 

99 

142 

5,075 

46.8 



1.271 
1,376 

238 
283 

53 

85 

1,744 

115.1 



112,022 
112.095 

205 
207 

75 

78 

112,380 

624.7 



7.941 
7.964 

1,566 
1.676 

422 

442 

10,082 

152.1 



19,262 
19,864 

381 
465 

85 

122 

20,451 

188.5 



4,836 

5,243 

2.126 
2,530 

878 
1,412 
9,185 

606.2 



88,405 
88,561 

1,909 
1,929 

1.550 

1,615 

92,105 

512.0 



18.150 
18.215 

6,133 
6,565 

3,327 

3,487 

28,267 

426.4 



102 
104 

65 

84 

35 
115 
303 

47.4 



24,113 
25,544 

1,378 
1,683 

1,040 

1,488 

28,715 

264.7 



14,625 
16,654 

5,656 

6.732 

1,838 
2,957 
26,343 

1.738.7 



196,196 
196,730 

5,004 
5,057 

6,745 

7,026 

208,813 

1,160.7 



64,130 
64,344 

16,616 
17,786 

18,428 

19,314 

101,444 

1,530.4 



1,289 
1,317 

384 
496 

278 

912 

2,725 

426.6 



86.880 
93,184 

5.950 

7,265 

4,281 

6.126 

106,575 

982.5 



29,883 
34,454 

16,578 
19,731 

2,374 

3,819 

58,004 

3,828.5 



500,919 
502,858 

20,698 
20,918 

11,746 

12,236 

536,012 

2,979.4 



138,506 
1 39,045 

40,369 
43,212 

18,894 

19,802 

202,059 

3,048.3 



8,133 
8,335 

3,373 
4,354 

589 

1,932 

14,621 

2,288.8 



243,586 
266,812 

25,060 
30,600 

9.267 

13,261 

310,673 

2,864.1 



2,823 
3.251 

946 
1,126 

450 

724 

5,101 

336.7 



185,771 
186,063 

804 
813 

686 

715 

187,591 

1,042.7 



12.789 
12,830 

2,915 
3,120 

2,722 
2,853 
18,803 

283.7 



468 

478 

191 

247 

38 
125 
850 

133.1 



47,668 
50,322 

1,371 
1.674 

856 

1,225 

53,221 

490.6 



See footnotes at end of table. 



66 



Table 5.— Index of Crime, State, 1990— Continued 



PopulalioD 



Crime 
Index 
total 



Modined 
Crime 
Index 
total' 



Violent 
crime^ 



Property 



Murder 
and non- 
negligent 

man- 
slaughter 



Forable 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



OKLAHOMA 

Metropolitan Statistical 
Afea 

Area actually reporting 
Other Cities 

Area actually reporting 

Estimated totals 

Rural 

Area actually reporting 
State Total 

Rate per 100,000 
inhabitants 

OREGON 

Metropolitan Sutistical 

Area 

Area actually reporting 
Estimated totals 

Other Cities 

Area actually reporting 
Estimated totals 

Rural 

Area actually reporting 

Slate Total 

Rate per 100,000 
inhabitants 

PENNSYLVANU 

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 

PUERTO RICO* 

Metropolitan Statistical 

Area 

Area actually reporting 

Other Cities 

Area actually reporting 

Total 

Rate per 100,000 
inhabitants 

RHODE ISLAND 

Metropolitan Statistical 
Area 

Area actually reporting 
Other Cities 

Area actually reporting 
Rural 

Area actually reporting 
Stale Total 

Rate per 100,000 

inhabitants 

See footnotes at end of ubie. 



1,869,996 
100.0% 
652,023 
99.7% 
100.0% 
623,566 
100.0% 
3,145385 



1,946.621 

99.7% 

100.0% 

413,360 

99.7% 

100.0% 

482,340 

100.0% 

2,842,321 



100.0% 

100.0% 
3322,037 



938,920 
100.0% 
64,544 
100.0% 

100.0% 
1,003,4«4 



131,716 

33,180 
33,265 

11,130 
176,111 

5,598.7 



120,646 
120,974 

26,810 
26,889 

12,615 
160,478 

5,646.0 



10,075.895 




98.9% 


373,425 


100.0% 


376,356 


760,003 




95.6% 


19,847 


100.0% 


20,761 


1,045,745 




100.0% 


15,901 


11,881,643 


413,018 



3,476.1 



112,496 

11.875 
124J71 

3.531.2 



50,281 

3.422 

9 
53,712 

5.352.7 



13.468 



2,784 
2,792 



962 
17,222 



547.5 



12,182 
12,198 

1,394 
1,398 

809 
14,405 

506.8 



47,979 
48.251 

1.953 
2.044 

918 
51,213 

431.0 



27,655 

2.257 
29,912 

849.3 

4.040 
294 



4J34 

431.9 



118,248 

30,396 
30,473 

10,168 
158,889 

5,051.2 



108.464 
108.776 

25,416 
25,491 

11,806 
146,073 

5,139.2 



325,446 
328.105 

17.894 
18.717 

14,983 
361,805 

3.045.1 



84.841 

9.618 
94,459 

2,681.9 



46,241 

3,128 

9 
49J78 

4,920.8 



41 
253 



8.0 



21 
108 



3.8 



749 
752 



35 
801 



6.7 



554 



46 
600 



17.0 



1.180 



204 
205 



94 
1,479 



47.0 



1.001 
1.003 

160 
160 

169 
M32 

46.9 



2,684 
2,700 

167 

175 

193 
3,068 

25.8 



350 



76 
426 



12.1 



230 

18 



3,507 



280 
281 



48 
3,836 



121.9 



3,761 
3,765 

270 

271 

66 
4,102 

144.3 



20,608 
20,662 

173 
181 

87 
20,930 

176.2 



20,319 

604 
20,923 

594.1 



1.173 
51 



8.610 



2.259 
2,265 



779 
11,654 



370.5 



7,343 
7,353 

954 

957 

553 
8,863 

311.8 



23,938 
24,137 

1,600 
1,674 

603 
26,414 

222.3 



6,432 

1,531 
7,963 

226.1 



2.590 

224 



48 

4.8 



248 

24.7 



1,224 

122.0 



2,814 

280.4 



32,433 

8,582 
8,604 

4,494 
45,531 

1.447.5 



23.526 
23.587 

4.790 
4.804 

3.882 
32,273 

1.135.4 



75,985 
76,456 

3,209 
3,357 

6.811 
86,624 

729.1 



30,207 

4,574 
34,781 

987.5 



12.046 

705 

4 
12,755 

1,271.1 



69,344 

20,059 
20,110 

4,978 
94,432 

3,002.0 



74,158 
74,386 

19.297 
19,354 

7.025 
100,765 

3,545.2 



191,969 
193,831 

13,719 
14,350 

6,938 
215,119 

1.810.5 



35.491 

4.304 
39,795 

1,129.9 



24,874 

2.168 

4 
27,046 

2,695.3 



16,471 



1,755 
1,759 



696 
18,926 



601.7 



10,780 
10,803 

1,329 
1,333 

899 
13,035 

458.6 



57.492 
57,818 

966 
1.010 

1.234 
60,062 

505.5 



19.143 

740 
19,883 

564.5 



9.321 

255 

1 
9377 

954.4 



67 



Table 5.— Index of Crime, SUte, 1990— Continued 



SOUTH CAROLINA 

Metropolitan Statistical 

Area 

Area actually reporting 
Estimated totals 

Other Cities 

Area actually reporting 
Estimated totals 

Rural 

Area actually reporting 

State Total 

Rate per 100,000 
inhabitants 



SOUTH DAKOTA 

Metropolitan Statistical 

Area 

Area actually reporting 

Other Cities 

Area actually reporting 
Estimated totals 

Rural 

Area actually reporting 
Estimated totals 

State Total 

Rate per 100,000 
inhabitants 



TENNESSEE 

Metropolitan Statistical 

Area 

Area actually reporting 
Estimated totals 

Other Cities 

Area actually reporting 
Estimated totals 



Rural 



Area actually reporting 

Estimated totals 

State Total 

Rate per 100,000 
inhabitants 



TEXAS 

Metropolitan Statistical 

Area 

Area actually reporting 
Estimated totals 

Other Cities 

Area actually reporting 
Estimated totals 

Rural 

Area actually reporting 
Estimated totals 

State Total 

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 

State Total 

Rate per 100,000 
inhabitants 

See footnotes at end of table. 



Population 



2,114,457 

99.9% 

100.0% 

406,138 

99.2% 

100.0% 

966,108 

100.0% 

3,486,703 



205,152 
100.0% 
186,952 
92.4% 
100.0% 
303,900 
72.1% 
100.0% 
696,004 



3,273,768 

88.7% 

100.0% 

559,556 

78.0% 

100.0% 

1,043,861 

51.7% 

100.0% 

4,877,185 



13,864,735 

99.9% 

100.0% 

1,354,995 

99.7% 

100.0% 

1,766,780 

99.5% 

100.0% 

16,986,510 



1,335,817 

100.0% 

196,087 

95.2% 

100.0% 

190,946 

90.5% 

100.0% 

1,722,850 



Crime 
Index 
total 



141,613 
141,694 

33,495 
33,756 

35,329 
210,779 

6,045.2 



9,123 

6,982 
7,560 

2,571 

3,566 

20.249 

2,909.3 



191,209 
203,360 

20,948 
26,869 

8,327 

16.117 

246,346 

5,051.0 



1,214,738 
1,214,877 

78,110 
78,291 

36,126 

36,326 

1,329,494 

7,826.8 



84,592 

8,330 
8,746 

3,776 

4,174 

97,512 

5,659.9 



Modified 
Crime 
Index 
total' 



Violent 
crime^ 



21,715 
21,726 

6,015 
6,062 

6,262 
34,050 

976.6 



663 

251 
272 

143 

198 

1,133 

162.8 



27,370 
28,482 

2,013 
2,582 

844 

1,634 

32,698 

670.4 



116,958 
116,973 

8,621 
8,638 

3,711 

3,732 

129,343 

761.4 



4,334 

332 
349 

189 

209 

4,892 

283.9 



Property 
crime' 



Murder 
and non- 
ncgligent 

man- 
slaughter 



119,898 
119,968 

27,480 
27,694 

29,067 
176,729 

5,068.7 



8,460 

6,731 
7,288 

2,428 
3,368 
19,116 

2,746.5 



163.839 
174,878 

18,935 

24,287 

7,483 

14,483 

213,648 

4,380.6 



1,097,780 
1,097,904 

69,489 
69,653 

32,415 

32,594 

1,200,151 

7,065.3 



80,258 

7,998 
8,397 

3,587 

3,965 

92,620 

5,376.0 



218 



127 
390 



11.2 



6 

8 

14 

2.0 



390 
408 

29 

37 

34 

66 

511 

10.5 



2,134 
2,134 

104 
104 

150 

151 

2,389 

14.1 



43 

2 
2 

6 

7 

52 

3.0 



Forcible 
rape 



1,296 
1,297 

215 

217 

359 
1,873 

53.7 



147 

46 
50 

30 

42 

239 

34.3 



2,074 
2,166 

108 
139 

57 

110 

2,415 

49.5 



8,030 
8,032 

431 
431 

285 

287 

8,750 

51.5 



570 

56 
59 

20 

22 

651 

37.8 



Robbery 



3,977 
3,979 

730 
736 

598 
5,313 

152.4 



62 

15 
16 

6 

8 

86 

12.4 



8,683 
8,840 

277 
355 

67 

130 

9,325 

191.2 



43,267 
43,270 

802 
803 

223 

224 

44,297 

260.8 



953 

13 
14 

12 

13 

980 

56.9 



Aggra- 
vated 
assault 



16,224 
16,232 

5,025 
5,064 

5,178 
26,474 

759.3 



448 

190 
206 

101 
140 
794 



16,223 
17,068 

1,599 
2,051 

686 

1,328 

20,447 

419.2 



63,527 
63,537 

7,284 
7,300 

3,053 

3,070 

73,907 

435.1 



2,768 

261 
274 

151 

167 

3,209 

186.3 



Burglary 



30,777 
30,792 

7,180 
7,236 

10,104 
48,132 

1,380.4 



1,335 

1,152 
1,247 

785 
1,089 
3,671 

527.4 



46,243 
49,475 

4,683 
6.007 

3,185 

6,164 

61,646 

1,264.0 



280.977 
281,010 

19.080 
19,122 

14,301 

14,380 

314,512 

1,851.5 



13,015 

1,227 
1.288 

786 

869 

15,172 

880.6 



Larceny- 
theft 



79,368 
79,418 

18,883 
19,030 

16,696 
115,144 

3,302.4 



6,806 

5,304 

5,743 

1,535 
2.129 
14,678 

2.108.9 



93.667 
100.628 

12.925 
16.578 

3,576 

6,921 

124,127 

2.545.1 



667,282 
667,363 

47,452 
47,567 

16,205 

16,294 

731,224 

4,304.7 



63,639 

6,475 
6.798 

2,637 

2,915 

73,352 

4,257.6 



Motor 
vehicle 
theft 



9,753 
9,758 

1,417 
1,428 

2,267 
13,453 

385.8 



319 

275 
298 

108 
150 

767 

110.2 



23,929 

24,775 

1,327 
1,702 

722 

1,398 

27,875 

571.5 



149,521 
149.531 

2,957 
2,964 

1,909 

1,920 

154,415 

909.0 



3,604 

296 
311 

164 

181 

4,096 

237.7 



68 



Table 5.— Index of Crime, State, 1990 — Continued 



Population 



Cnme 
Index 
loul 



Modified 
Cnme 
Index 
total' 



Violent 
cnrae^ 



Property 
cnme^ 



Murder 
and non- 
negligenl 

man- 
slaugbter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



VERMONT 

Metropolitan Statistical 
Area 

Area actually reporting 

Estimated totals 

Other Cities 

Area actually reporting 
Rural 

Area actually reporting 
State Total 

Rate per 100,000 
inhabitants 

VIRGINU 

Metropolitan Statistical 
Area 

Area actually reporting 
Other Cities 

Area actually reporting 
Rural 

Area actually reporting 
Slate Total 

Rate per 100,000 
inhabitants 

WASHINGTON 

Metropolitan Statistical 

Area 

Area actually reporting 
Estimated totals 

Other Cities 

Area actually reporting 
Estimated totals 

Rural 

Area actually reporting 

State Total 

Rate per 100,000 
inhabitants 

WEST VIRGINU 

Metropolitan Statistical 
Area 

Area actually reporting 
Other Cities 

Area actually reporting 
Rural 

Area actually reporting 
State Total 

Rate per 100,000 
inhabitants 

WISCONSIN 

Metropolitan Statistical 
Area 

Area actually reporting 
Other Cities 

Area actually reporting 

Estimated totals 

Rural 

Area actually reporting 
State Total 

Rate per 100,000 

inhabitants 

See footnotes at end of ubie. 



107,818 




84.7% 


6.547 


100.0% 


7,731 


195.952 




100.0% 


9,310 


258,988 




100.0% 


7,388 


562,758 


24,429 



4,483,134 
100.0% 
458,224 
100.0% 

1,246.000 
100.0% 

6,187,358 



652,283 
100.0% 

296,647 
100.0% 

844,547 

100.0% 

1,793,477 



3,306.848 

100.0% 

567,015 

99.8% 

100.0% 

1,017,906 

100,0% 

4,891.769 



4,340.9 

235,145 

18,751 

20,861 
274,757 

4,440.6 



3.978,510 




99.4% 


260,054 


100.0% 


261.823 


392,417 




91.9% 


25,057 


100.0% 


27,256 


495,765 




100.0% 


13.771 


4,866,692 


302,850 



6,222.9 



22,594 
9.972 



12.325 
44,891 



2,503.0 



1 70.972 

26,205 
26,266 

17,762 
215,000 

4,395.1 



120 
142 

303 

271 
716 

127.2 

18,949 

1,083 

1.662 
21,694 

350.6 



21,735 
21,823 

1,495 
1,627 

960 
24,410 

501.6 



1.570 
483 



983 
3,036 



169.3 



11,242 



903 
905 



801 
12,948 



264.7 



6,427 
7,589 

9,007 

7,117 
23,713 

4,213.7 



216,196 
17.668 



19.199 
253,063 



4.090.0 



238.319 
240.000 

23,562 
25,629 

12,811 
278,440 

5,721.3 



21,024 

9,489 

11,342 
41,855 

2,333.7 



159,730 



25,302 
25,361 



16,961 
202,052 



4,130.4 



2.3 



441 
37 



67 
545 



203 
204 



25 
238 



4.9 



53 
102 



5.7 



192 



21 
225 



4.6 



49 



51 
146 



25.9 



1.573 
108 



234 
1.915 



31.0 



34 



11.7 



7,295 
175 



156 
7,626 



123.3 



2.641 
2.656 


6,061 
6,084 


212 
231 


161 

175 


228 
3,115 


67 
6J26 


64.0 


130.0 


197 


466 


66 


110 


160 
423 


104 
680 


23.6 


37.9 


859 


5,397 


80 
80 


84 
84 


74 
1,013 


33 
5,514 


20.7 


112.7 



217 



204 
491 



87.2 



9,640 
763 



1.205 
11,608 



187.6 



12,830 
12,879 

1,114 
1,212 

640 
14,731 

302.7 



874 
291 



666 
1,831 



102.1 



4,794 

727 
729 

673 
6,196 

126.7 



1,327 
1,567 

1,727 

2,825 
6,119 

1,087.3 



37,212 

2,792 

5,232 
45,236 

731.1 



52.096 
52.386 

4.321 
4.700 

4,374 
61,460 

1,262.9 



5,454 

1.891 

4.440 
11.785 

657.1 



27,786 

3,167 
3,174 

5,795 
36,755 

751.4 



4,798 
5,665 

6,854 

3,905 
16,424 

2,918.5 



160,670 

14,134 

12,760 
187,564 

3,031.4 



166,383 
167,660 

18,304 
19,910 

7,651 
195,221 

4,011.4 



14,295 

7.153 

5.862 
27,310 

1.522.7 



113.449 

21,274 
21,324 

10,151 
144,924 

2,962.6 



302 

357 

426 

387 
1,170 

207.9 

18,314 

742 

1,207 
20,263 

327.5 



19,840 
19.954 



937 
1,019 



786 
21,759 



447.1 



1,275 

445 

1,040 
2,760 

153.9 



18,495 



861 
863 



1,015 
20J73 



416.5 



69 



Table 5.— Index of Crime, State, 1990— Continued 



Area 


Population 


Crime 
Index 
total 


Modtfied 
Cnrae 
Index 
total' 


Violent 
crime^ 


Propcny 
crime^ 


Murder 
and non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


Arson' 


WYOMING 

Metropolitan Statistical 
Area 


134,368 
100.0% 

198,796 
99.9% 
100.0% 

120,424 
100.0% 

453,588 


6,695 

10,024 
10,036 

2,368 
19,099 

4,210.6 




411 

678 
679 

277 
1,367 

301.4 


6,284 

9,346 
9.357 

2,091 

17,732 

3,909.3 


5 

7 

7 

10 
22 

4.9 


33 

66 
66 

35 
134 

29.5 


34 

33 

33 

5 
72 

15.9 


339 

572 
573 

227 
1,139 

251.1 


1,014 

1,342 
1,344 

504 
2,862 

631.0 


5,034 

7,677 
7,686 

1,474 
14,194 

3,129.3 


236 

327 
327 

113 
676 

149.0 




Area actually reporting 




Area actually reporting 

Estimated totals 




Rural 




Area actually reporting 




Rate per 100,000 
inhabitants 









'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. 

'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. The 1990 forcible rape totals for Illinois were estimated using the national rate of forcible rapes when grouped by like agencies. Therefore, only the state total is shown. See "Offense 
Estimation," page 3 for details. 

'A breakdown of the Bureau of the Census decennial census count for Puerto Rico was not available prior to printing this publication. 



70 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 

" Arson IS shown only if 12 months of arson data were received- Leaders (.,) indicate zero data. The Modified Cnmc IndCR total is the sum of the Crime Index 
ofTenses, including arson. 



Cily by State 



Population 



Cnme 
Index 
total 



Modified- 
Cnmc 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



ALABAMA 



Alabaster 

AlbeitviUe .... 
Alexander City 
Anniston 



Athens 

Auburn 

Bessemer ... 
Birmingham 
Cullman . . . 



Daphne . . 
Decatur .. 
Dothan 
Enterprise 
Eufaula 



Fairfield 
Florence 
Fort Payne 
Gadsden . . 
Hartselle . . 



Homewood 

Hoover 

Hueytown . . 

Huntsville 

Jacksonville 



Jasper 

Madison 

Mobile 

Montgomery 

Mountain Brook 



Northport . . 
Opelika . . . . 

Ozark 

Phenix City 
Prattville ... 



Prichard 
Saraland . . 
Scottsboro 

Selma 

Sheffield . . 

Sylacauga . 
Talladega 

Troy 

Tuscaloosa 
Tuskegee . . 



Vestavia Hills 



ALASKA 



Anchorage 
Fairbanks 
Juneau . . . 



ARIZONA 



Apache Junction 

Avondale 

Bullhead City ... 
Casa Grande ... 



14,732 
14,507 
14,917 
26,623 

16,901 
33,830 
33,497 
265,968 
13,367 

11,290 
48,761 
53,589 
20,123 
13,220 

12,200 
36,426 
11,838 
42,523 
10,795 

22,922 
39,788 
15,280 
159,789 
10,283 

13,553 

14,904 

196,278 

187,106 

19,810 

17,366 
22,122 
12,922 
25,312 
19,587 

34,311 
11,751 
13,786 
23,755 
10,380 

12,520 
18,175 
13,051 
77,759 
12,257 

19.749 



226,338 
30,843 
26,751 



18,100 
16,169 
21,951 
19,082 



155 

196 

741 

4,199 

668 

1,802 

4,103 

29,952 

625 

494 
3,538 
6,770 
1,042 

493 

1,770 

2,400 

603 

4,020 

387 

1,782 
1,725 

707 
14,657 

385 

931 

439 

22,379 

12,154 

415 

1,181 
2,165 
560 
2,236 
1,295 

1,910 
548 
751 

2,876 
389 

685 
1,127 

543 
7,915 
1,584 

364 



13,007 
2,192 
1,008 



1,071 
1,515 
1,988 
2,290 



30,199 



22,408 
12,200 



13,081 
2,194 
1,013 



1,081 
1,516 
1,994 
2,309 



2 

16 
125 



9 

24 

267 

4 



146 
102 



15 



203 
29 



7 

4 

10 

119 

9 

25 

205 

1,799 

2 

11 
84 
95 
13 
9 

110 

38 

6 

85 

5 

58 

53 

25 

293 

9 

16 



842 

435 

6 

24 
41 
10 
62 
30 

76 
6 
4 

89 

2 

12 

13 

13 

199 

51 

10 



350 
28 



21 
9 

98 
694 

40 

70 

432 

2,002 

30 

16 
115 
860 
106 

68 

147 

239 
24 

557 
13 

64 
21 
77 
495 
39 

62 

25 

4,869 

396 

3 

64 
230 

53 
285 
198 

361 

47 

60 

506 

5 

69 
128 

67 
828 
186 



767 
131 
22 



55 

63 

90 

222 



35 

35 

166 

1,066 

124 

374 

1,044 

6,958 

138 

77 

863 

1,245 

226 

65 

350 
507 
116 
888 
75 

282 

284 

125 

2,181 

79 

140 

64 

4,580 

2,779 
69 

185 
408 
95 
446 
266 

562 
101 
73 
606 
105 

91 

237 

151 

1,394 

667 

84 



2,060 
266 
112 



211 
508 
448 
462 



80 

132 

444 

2,063 

477 

1,293 

1,989 

13,728 

416 

375 

2,287 

4,322 

639 

331 

905 
1,506 

415 
2,230 

270 

1,217 
1,167 

423 
10,889 

238 

622 

327 

10,741 

7,697 

305 

886 
1,420 

373 
1,279 

748 

744 
375 
571 
1,556 
260 

497 
677 
286 
5,025 
600 

245 



8.083 

1,483 

790 



691 

672 

1,253 

1,461 



9 
9 

14 
219 

18 

29 

393 

5,073 

35 

15 

170 

200 

49 

16 

249 
98 
41 

231 

22 

155 
188 

50 
698 

16 

82 

22 

1,160 

711 

32 

19 
50 
24 
142 
43 

141 

18 

36 

97 

9 

16 

54 

24 

399 

67 

16 



1.534 
251 

74 



97 
238 
172 

98 



71 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued 



City by State 



Population 



Crime 
Index 
total 



Modified* 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



ARIZONA— Continued 

Chandler 

E>ouglas 

FlagslafT 

Gilbert 

Glendale 

Kingman 

Lake Havasu 

Mesa 

Nogales 

Paradise Valley 

Peoria 

Phoenix 

Prescott 

Scottsdale 

Sierra Vista 

Tempe 

Tucson 

ARKANSAS 

Arkadclphia 

Benton 

Bentonville 

Blytheville 

Camden 

Conway 

El Dorado 

Fayetteville 

Forrest City 

Fort Smith 

Jacksonville 

Jonesboro 

Little Rock 

Magnolia 

North Little Rock 

Paragould 

Pine Bluff 

Rogers 

Russellville 

Searcy 

Sherwood 

Springdale 

Stuttgart 

Texarkana 

Van Buren 

West Memphis 

CAUFORNLV 

Agoura Hills 

Alameda 

Albany 

Alhambra 

Anaheim 

Antioch 

Apple Valley 

Arcadia 

Areata 



90,533 
12,822 
45,857 
29,188 
148,134 

12,722 
24,363 
288,091 
19,489 
11,671 

50,618 
983,403 

26,455 
130,069 

32,983 

141,865 
405,390 



10,014 
18,177 
11,257 
22,906 

14,380 
26,481 
23,146 
42,099 
13,364 

72,798 
29,101 
46,535 
175,795 
11,151 

61,741 
18,540 
57,140 
24,692 
21,260 

15,180 
18,893 
29,941 
10,420 
22,631 

14,979 
28,259 



20,390 
76,459 
16,327 
82,106 

266,406 
62,195 
46,079 
48,290 
15,197 



7,010 
1,268 
3,768 
1,713 
13,617 

1,910 

1,299 

20,415 

1,227 
400 

2,389 

105,779 

1,665 

7,728 
1,315 

13,454 
48,158 



99 

1,049 

468 

2,607 

1,002 
1,815 
1,447 
2,680 
1,708 

6,043 

2,059 

3,191 

26,162 

165 

7,110 
787 

5,464 
882 

1,272 

714 
624 

1,553 
772 

3,238 

736 
2,677 



610 
3,989 

758 
4,605 

19,096 
4,314 
2,363 
2,519 

774 



7,061 
1,270 
3,776 
1,713 
13,736 

1,913 

1,305 

20,551 

1,231 

400 

2,399 

106,277 

1,682 

7,772 
1,324 

13,511 
48,414 



99 

1,055 

468 

2,632 

1,010 
1,818 
1,447 
2,684 
1,723 

6,086 

2,067 

3,230 

26,379 

165 

7,132 
792 

5,515 
882 

1,276 

722 
624 

1,555 
774 

3,261 

736 
2,680 



613 

4,023 

760 

4,653 

19,182 

4,454 

2,376 

2,531 

778 



I 

128 

I 



95 

1 
1 

7 

512 

7 

21 

9 

69 
290 



17 

13 
16 
10 

23 
6 

47 

17 

19 

254 

3 

77 
9 

82 
5 
5 

3 
4 
6 

4 
17 

2 
53 



77 
7 

56 

6 

212 

II 
3 

275 

15 

3 

17 

3,383 

12 

116 

8 

276 
902 



1 
61 

13 
15 
52 
21 
21 

68 

23 

52 

1,118 

I 

261 

4 

214 

2 
5 

4 
5 
8 
13 
114 

5 
164 



9 

134 

44 

316 

975 
97 
44 

106 
6 



190 
40 
156 
100 
766 

52 

66 

1,345 

26 

6 

208 

6.642 

116 

143 

14 

397 
2,458 



10 

86 

3 

286 

211 
12 
74 
96 

166 

423 

144 

114 

2.206 

I 

609 
93 

663 
42 
52 

15 
25 
36 
40 

228 

9 
170 



66 

323 

69 

244 

713 

494 

280 

86 

21 



1,420 
230 
570 
449 

3,263 

377 
226 
3,884 
369 
228 

653 

24,682 

237 

1,512 

181 

2,021 
7,909 



14 
283 

83 
614 

183 
336 
353 
510 
269 

1,109 
293 
970 

6,033 
99 

1,315 
130 

1,552 
179 
309 

81 

74 

292 

150 

508 

201 
686 



195 
591 

127 
960 

4,217 
776 
806 
672 
128 



4,631 
841 
2,834 
1,021 
7,618 

1,384 

912 

12.306 

644 

141 

1,323 
52,912 
1,239 
5,335 
1,044 

8,996 
34,101 



65 

588 

373 

1,531 

538 
1,347 

869 
1,851 
1,204 

3,978 

1,495 

1,841 

14,681 

56 

4,389 
509 

2,610 
598 
858 

564 

479 

1,122 

529 

2,259 

471 
1,339 



256 

2,623 

403 

2,214 

9,761 
2,583 

985 
1,317 

584 



669 
147 
130 
131 
1,660 

80 

84 

2,501 

171 

21 

180 

17,520 

53 

601 

59 

1.692 
2.468 



73 

8 

92 

44 
88 
87 
174 
39 

412 

87 

193 

1,837 

5 

435 
41 

331 
55 
43 

47 
36 
89 
35 
110 

48 
254 



84 
294 
111 
846 

3,316 

340 

236 

328 

24 



72 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued 



Cily by Suie 



Population 



Cnmc 
Index 
loul 



Modified* 
Cnme 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



CALIFORNIA— Con till ued 



Arroyo Grande 

Artesia 

Atascadero 

Alwater 

Auburn 



Azusa 

Bakersfleld . . . 
Baldwin Park 

Banning 

Barstow 



BeU 

Bell Gardens 
Bellflower ... 

Belmont 

Benicia 



Berkeley 

Beverly Hills 

Brawley 

Brea 

Buena Park . 



Burbank 
Burlingame 
Calexico 
Campbell . 
Capilola 



Carlsbad 

Carpinteria . . . 

Carson 

Cathedral City 
Ceres 



Cerritos 

Chico 

Chino 

Chula VisU 
Claremont 

Qearlake . . . 

Oovis 

Coachella . . 

Colton 

Commerce . 



Compton 
Concord 
Corcoran . 
Corona . . . 
Coronado 



Costa Mesa 

Covina 

Cudahy 

Culver City 
Cupertino . . 



Cypress 

Daly City .. 
Dana Point 
Danville . . . 
Davis 



Delano 

Desert Hot Sprinp 



14,378 
15,464 
23,138 
22,282 
10,592 

41,333 
174,820 
69,330 
20,570 
21,472 

34,365 
42,355 
61,815 
24,127 
24,437 

102,724 
31,971 
18,923 
32,873 
68,784 

93,643 
26,801 
18,633 
36,048 
10,171 

63,126 
13,747 
83,995 
30,085 
26,314 

53,340 
40,079 
59,682 
135,163 
32,503 

11,804 
50,323 
16,896 
40,213 
12,135 

90,454 
111,348 
13,364 
76,095 
26,540 

96,357 
43,207 
22,817 
38,793 
40,263 

42,655 
92,311 
31,896 
31,306 
46,209 

22,762 
11,668 



603 
782 
918 
1,136 
533 

2,324 
14,091 
3,350 
1,841 
1,675 

1,381 

2,099 

4,077 

645 

947 

12,673 
2,247 
1,514 
1,887 
4,415 

4,107 
1,413 
1,779 
1,824 
1,173 

3,710 
495 
4,676 
1,760 
1,944 

3,627 
3,076 
3,251 
10,024 
1,504 

908 
3,348 

982 
3,641 
2,560 

7,556 
6,995 

530 
6,004 

962 

8,736 

2,635 

949 

2,787 
1,701 

2,248 

3,286 

1,247 

685 

2,723 

2,038 
1.086 



603 
786 
923 
1,140 
534 

2,353 
14,201 
3,389 
1,849 
1,687 

1,388 

2,105 

4,097 

645 

954 

12,757 
2,251 
1,526 
1,904 

4,435 

4,310 
1,420 
1,921 
1,839 
1,175 

3,724 
497 
4,728 
1,761 
1,956 

3,639 
3,129 
3,335 
10,050 
1,511 

912 
3,361 

986 
3,657 
2,580 

7,585 
7,022 

532 
6,031 

978 

8,757 
2,646 
952 
2,787 
1,732 

2,277 

3,296 

1,260 

689 

2,743 

2,040 
1,089 



18 
3 

27 
4 

30 
4 
9 

6 
40 
20 
43 
10 

7 
24 

5 
15 

6 

115 

37 

6 

10 

6 

32 
13 



lis 

525 

290 

39 

55 

140 

205 

290 

15 

II 

618 

205 

47 

44 

213 

189 
29 
29 
29 
15 

96 

10 

323 

30 

25 

160 
39 
94 

313 
69 

11 
49 
26 
151 
109 

1,227 

166 

5 

166 

13 

170 
129 
100 
260 
16 

50 

129 

30 

10 

15 

74 
19 



48 

172 
75 

106 
25 

111 

1,080 

329 

182 

91 

132 

244 

650 

26 

30 

881 
72 

120 
39 

148 

231 
42 
66 

143 
55 

256 
31 
805 
216 
152 

262 
152 
237 
850 

47 

71 
150 

97 
249 
220 

1,719 

377 

96 

442 

53 

572 

134 

251 

55 

64 

94 

224 

124 

10 

37 

112 
160 



108 
152 

222 

318 

73 

606 

3,357 

1,460 

603 

335 

370 
596 
722 
86 
189 

2,262 
375 
506 
290 
937 

699 
210 
262 
265 
108 

720 
118 
824 
526 
434 

689 
610 
787 
1,651 
396 

260 
678 

232 
922 
416 

1,570 
1,174 

151 
1,388 

149 

1,497 
561 
131 
441 

275 

445 
288 
337 
111 
424 

419 
286 



418 
230 
561 
632 
393 

1,139 

7.792 

460 

856 

1,030 

358 
700 
1,464 
468 
594 

7,564 
1,352 
748 
1,303 
2,091 

1,955 

952 

1,112 

1,203 

946 

1,917 
305 

1,658 
791 

1,191 

1,754 
2,005 
1,652 
4,665 
811 

496 
2,143 

542 
1,649 
1,095 

1,573 
4,678 

228 
2,951 

595 

5,452 
1,348 
268 
1,506 
1,263 

1,386 

2,032 

658 

526 

2,072 

1,201 
480 



18 
142 
43 
65 
35 

339 
1,247 
787 
148 
151 

364 
339 
913 
47 
120 

1,289 

234 

85 

202 

996 

1,010 

166 

310 

166 

45 

690 

27 

1,030 

190 

133 

754 
227 
457 
2,495 
169 

61 

304 

78 

645 

713 

1,274 

560 

42 

1,043 
146 

1,007 

448 

186 

519 

75 

267 

603 

87 

20 

163 

221 
132 



73 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Papulation, 1990 — Continued 



City by State 


Population 


Cnmc 
Index 
total 


Modified* 
Cnme 
Index 
total 


Murder 
and non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robtwry 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
tlieft 


Motor 
vehicle 
theft 


Arson* 


CALIFORNIA— Continued 


53,672 
12,743 
10,401 

91,444 
20,688 
23,229 
23,451 
88,693 

31,384 
22,869 

106.209 
15.223 

108,635 

27,025 
77,211 
29,802 
87,535 
28,176 

53,691 
173,339 
354,202 
114,144 

49,847 

143,050 
31,487 

180,038 
47,828 
10,946 

11.656 
30.897 
13,639 
71,349 
111,498 

36,094 
16,829 
18,219 
50,418 
34,439 

10,667 
19,212 
181,519 
56,065 
36,793 

109,602 

1 10,330 

19,378 

23,501 

23,170 

44.400 
51.266 
73,557 
52,931 
40,452 

97,291 
15,392 
36,955 
11,215 


1,863 
622 
462 

4,646 
899 
652 

1.416 

5.757 

2,822 
1,939 
6,582 
1.183 
9.204 

2,401 
6,019 

738 
7,116 

896 

2,878 
6,378 
37,296 
8,257 
3,902 

10,403 

1,901 

8,785 

1,728 

574 

428 
1,633 
1,259 
6,769 

7,155 

3,507 
321 
1,067 
2,219 
2,207 

124 
1,314 
9,216 

5,254 
2,952 

8,675 

5,025 

486 

553 
1,347 

788 
2,443 
4,117 
3,672 
1,455 

5,086 

580 

2,409 

771 


1,872 
623 
465 

4,679 

902 

654 

1,430 

5,781 

2,840 
1,942 
6,641 
1,188 
9,251 

2,415 
6,056 

740 
7,165 

909 

2,895 
6.543 
37,594 
8,286 
3,941 

10,461 

1,957 

8.831 

1.735 

578 

438 
1,647 
1,281 
6,862 
7,216 

3,531 
328 
1,067 
2,223 
2,212 

125 
1,332 
9,270 
5,282 
2,969 

8,796 

5,097 

493 

556 

1,352 

807 
2,456 
4,134 
3,679 
1,463 

5,131 
583 

2.434 
773 


4 


5 
2 
2 

21 

2 

5 

9 

35 

15 

5 
47 

5 
44 

23 
38 

2 
66 

3 

11 

32 

258 

52 

23 

40 
11 

37 
13 

5 

4 
14 

8 
46 
30 

14 

1 

2 

11 

12 


80 

12 

291 

59 

8 

193 

169 

71 
113 
578 

36 
246 

55 
136 

13 
307 

2 

62 

132 

1.592 

291 

609 

413 
34 

392 
49 
13 

7 

36 

121 

770 

279 

71 

9 

29 

64 

121 

2 

25 

197 

476 

128 

1.488 
55 
19 
13 

27 

9 

69 

269 

100 

65 

160 
21 

242 


164 

103 

19 

215 
108 
33 
250 
407 

140 
65 

683 
50 

644 

101 

567 
51 

619 
93 

79 

596 

2.483 

401 

328 

543 
229 
332 
135 
68 

41 
137 
222 
632 
521 

347 

22 

71 

143 

188 

7 
206 
539 
563 
187 

954 
77 
47 
14 
83 

53 
100 
381 

172 
133 

860 

34 

584 

78 


454 

126 

84 

1.056 

254 

76 

241 

1,192 

815 
28» 

1,824 
242 

1,845 

477 
842 
210 
1,781 
110 

503 
1,443 
7,137 
1,600 

886 

1.993 
429 

1.916 
409 
176 

156 

318 

284 

1.356 

1,310 

755 

88 

341 

654 

727 

24 

281 

1,902 

725 
725 

1,866 

1,110 

145 

112 

317 

243 
539 
530 
716 
348 

1,118 
119 
465 
378 


739 
321 
336 

1,967 
359 
465 
382 

2,928 

1,597 
1,108 
2,202 
693 
4,980 

1,613 
3,962 

416 
3,227 

638 

1,837 
3,606 
18,623 
4,601 
1,302 

5,581 

1,083 

4,549 

946 

221 

203 
1,009 

465 
2,616 
4,195 

1,936 
134 
497 

1,076 
867 

90 

745 

5,386 

1,381 

1,610 

2,328 

3,341 

225 

380 

808 

428 
1,389 
1.915 
1.888 

600 

2,177 
281 
644 
272 


417 
58 
20 

1,095 

117 

65 

319 

1,024 

183 
360 

1,239 
155 

1.441 

132 

472 

46 

1,105 

49 

386 

567 

7,137 

1,306 

744 

1,817 
114 

1,556 
175 
91 

17 

119 

155 

1.339 

816 

384 
67 
127 
270 
285 

I 

52 

1,130 

2,075 

282 

1,881 

426 

49 

32 

103 

50 

336 

1,009 

782 
286 

715 

123 

446 

36 


9 




1 




1 
1 


3 




33 


Duarte 


3 


Dublin 




2 


East Palo Alto 


22 
2 

1 


14 




24 


El Centre 


18 




3 




9 

2 
4 


59 




5 




47 


Eureka 


14 


Fairfield 


2 


37 




2 




11 

1 


49 




13 




17 


Fremont 


2 
66 

6 
10 

16 

1 
3 


165 


Fresno 


298 




29 




39 




58 




56 


Glendale 


46 




7 




4 






10 






14 




4 
10 
4 


22 




93 


Hayward 


61 


Hemet . 


24 






7 










1 
7 


4 


Highland 


5 




1 


HoUister 




5 
57 
22 
15 

103 
16 


18 




5 

12 

5 

55 


54 


Huntington Park 


28 


Indio 


17 




121 




72 


La Canada-Flintridge 


1 


7 


Lafayette 


2 
9 

3 

9 

12 

13 

20 

52 
2 

16 
6 


3 






5 


Laguena Niguel 


2 
1 

1 

3 
4 


19 


La Habra 


13 




17 


La Mesa 


7 




8 




45 


La Palma 


3 




12 


25 




2 



74 



Table 6.— Number of Oflenses Known to the Police, Cities and Towns 10,000 and over in Popniation, 1990 — Continaed 



City by Stale 


Population 


Crime 
Index 
total 


Modified* 
Crime 
Index 
total 


Murder 
and non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robt>er> 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


Anon* 


CAUFORNU— Continued 

La Veme 


30,897 

27,331 
13,622 
56,741 
51,874 
17,400 

19,382 
37,649 
429,433 
11,676 
26,303 

3,485,398 
14,519 
27,357 
61,945 
29,281 

32.063 
40.773 
26.436 
31,808 
12,324 

27,850 
28,040 
56,216 
20,412 
13,038 

50,686 
72,820 
164,730 
35,761 
28,434 

59,564 
31,954 
60.738 
15.852 
118,779 

23,928 
67,460 
61,842 
54,249 
37.861 

66.643 
94.279 
47.585 
11,961 
372,242 

128,398 

133,179 

110,658 

16,642 

11,960 

142.216 
37.670 
16.117 
40.181 
55,900 


1,241 

1,876 

536 

2,648 

3,666 

966 

739 

1,958 

41.106 

604 

513 

321.536 

920 

993 

4,161 

1.663 

1,943 
2,983 
939 
1,282 
1,295 

1,108 

1,429 

3,583 

773 

410 

2,366 
2,018 
10,878 
2,419 
3,420 

4,282 
2,195 
3,301 
214 
8,328 

1,177 
3,694 
3,469 
5.127 
2.300 

4,537 

4,689 

1,339 

707 

40,595 

9,046 
10.640 

7.283 

292 

1,227 

8,464 

963 

627 

4,114 

3,097 


1,247 

1,889 

539 

2,659 

3,673 

969 

742 

1,976 

41,272 

613 

521 

326,919 

925 

1,017 

4,218 

1,665 

1,955 
3,000 
951 
1,283 
1,307 

1,124 

1,439 

3,626 

775 

413 

2,375 
2,060 
10,937 
2,435 
3,426 

4.290 
2.204 
3.304 
215 
8,359 

1,185 
3,727 
3,501 
5,145 
2.316 

4.554 

4.720 

1.351 

714 

40.909 

9,074 

10,722 

7,385 

297 

1,228 

8,489 

972 

634 

4,203 

3,111 


1 

7 


8 

9 
9 
16 
20 
8 

6 

25 

298 

2 

3 

2,014 

7 

3 

49 

5 

5 

12 
9 
8 

5 

8 

7 

22 

4 

3 

21 

6 

65 

18 
18 

26 
17 
11 


32 

180 

3 

35 

59 

36 

39 

34 

4.193 

14 

6 

36.098 
7 

13 
600 

76 

60 
32 
12 
23 
31 

92 
67 
86 

25 

7 

61 

23 

260 

164 

229 

260 

36 

339 


81 

369 
13 

244 

179 

87 

78 

134 

3,806 

31 

33 

44,714 

123 

47 

986 

120 

66 

119 

44 

58 

112 

146 
88 

158 
33 
15 

96 
116 
723 
235 
174 

600 

131 

223 

11 

1,072 

70 
196 
183 
401 
155 

207 

970 

97 

21 

1,952 

993 

942 

302 

4 

79 

793 
62 
47 

440 
74 


261 

439 
136 
567 
522 
310 

173 
343 
8,661 
154 
133 

51,482 
150 
209 
889 
481 

517 
560 
206 
313 
196 

214 
239 
790 
109 
91 

379 
535 
2,096 
527 
570 

843 

422 

830 

56 

1,989 

364 
425 
588 
869 
267 

1,187 
965 
249 
139 

8,500 

1,889 

2,341 

1.360 

56 

342 

1.599 
201 
181 

1,196 
362 


703 

532 

334 

1,608 

2,566 

352 

321 

1,334 

16,905 

326 

312 

122,632 
605 
672 
836 
749 

1,091 

1,988 

625 

711 

859 

388 
914 
2,294 
511 
274 

1,549 
1,191 
6,776 
1,224 
1,788 

1,652 
1.506 
1.161 
142 
3,802 

654 
2,635 
2,481 
2,171 
1,639 

2,644 

1.518 

885 

481 

19.077 

4.238 

4.982 

4.487 

209 

649 

4,684 

581 

378 

1,794 

2,357 


155 

340 
41 
176 
318 
173 

120 

87 

7,137 

76 

26 

63,613 

27 

48 

778 

227 

204 
271 

42 
168 

85 

256 

113 

229 

91 

20 

260 

147 
950 
247 
639 

896 

82 

737 

5 

1,169 

55 

335 

162 

1,345 

188 

408 
918 

77 

54 

7,173 

1,457 
1,616 

910 
20 

123 

976 

90 

17 

533 

222 


6 




13 




3 


Livcrmore 


2 
2 


11 


Lodi 


7 




3 




2 

106 

1 


3 




18 


Long Beach 


166 




9 


Los AJtos 


8 




983 
1 
1 

23 

5 


5,383 




5 


Los Gales 


24 




57 


Madera 


2 




12 




1 
1 
1 
7 

4 

4 


17 




12 




1 


Marysville 


12 




16 




10 


Merced 


43 




2 


Mill Valley 




3 






9 






42 




8 
4 

2 

5 
1 


59 




16 


Montclair 


6 


Montebello 


8 




9 




3 






1 


Moreno Valley 


6 


44 

15 
18 
15 
29 
6 

25 

41 

11 

1 

517 

95 
71 
26 


246 

19 
81 
39 
306 
40 

64 

266 

20 

10 

3,230 

363 
669 
193 

3 
23 

340 

24 

2 

130 
66 


31 




8 




4 
1 
6 

5 

2 
11 


33 


^Japa 


32 




18 


Newark 


16 




17 


Norwalk 


31 




12 


Oakdale 


1 
146 

11 
19 

5 


7 


Oakland 


314 




28 


Ontario 


82 


Orange 


102 




5 


Oroville 


2 
6 


9 

66 
5 
2 

16 
16 


1 


Oxnard 


25 




9 






7 




5 


89 


Palo Alto 


14 



75 



Table 6.— Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued 



City by Stale 


Population 


Crime 
Index 
total 


Modified* 
Crime 
Index 
total 


Murder 
and non* 
negligent 

man> 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


Arson* 


CALIFORNU— Continued 


13,512 
68,842 
25,408 
47,669 
131,591 

16,536 
21,460 
43,184 
59,177 
10,602 

17,460 
47,564 
41,259 
31,585 
50,553 

131,723 
29,563 
20,319 

101,409 
41,659 

12,363 
66,462 
60,394 
60,167 
66,072 

15,791 
72,388 
87,425 
27,725 
226,505 

19,033 
36,326 
51,638 
44,685 
369,365 

108,777 
11,743 
38,961 
26,167 
41,100 

1,110,549 

32,397 

22,580 

723,959 


265 
3.907 

595 
3,597 
9.642 

973 
2,379 
1,616 
3,130 

344 

1,084 
2,997 
1,524 
2,012 
1,746 

9,486 
2,165 

807 
4,431 

702 

986 
4,374 
3,177 
3,841 
3,530 

1,100 
4,598 
9,898 
1,171 
19,975 

610 

1,609 

3,001 

2,836 

33,710 

8,089 
363 

1,978 
760 

1,448 

101,564 

1,359 

1,174 

69,950 

5 

238 

2,116 

678 

1,247 

38,090 

1,214 
4,107 
1,963 
337 
4,113 

3,117 
2,784 


267 
3,941 

599 
3,635 
9,783 

976 
2,386 
1,639 
3,154 

346 

1,098 
3,030 

1,557 
2,020 
1,765 

9,864 
2,165 

812 
4,455 

709 

987 
4,385 
3,195 
3,852 
3,542 

1,100 
4,633 

10,026 
1,196 

20.267 

616 

1,622 

3,027 

2.844 

33.910 

8,137 
370 

1.987 
761 

1.469 

101,855 

1,370 

1,175 

70,370 

238 

2,132 

693 

1.253 

38.546 

1,226 
4,122 
1,969 

337 
4,129 

3,147 
2.802 




3 
33 

7 
19 
53 

24 
14 
9 
14 


7 
129 

4 
269 
790 

13 
116 

26 
235 

7 

51 
130 
62 
39 
18 

1.031 

35 

39 

126 

22 

7 
94 
120 
149 
HI 

11 
322 
824 

11 
1.098 

7 

18 

235 

39 

1,790 

262 

1 
59 
10 
37 

4,331 
39 
80 

7,053 


15 
683 

36 
765 
879 

106 
118 
101 
840 
6 

76 

296 

132 

76 

43 

1,243 

131 

51 

226 

74 

171 
232 
222 
217 
397 

102 

276 
1,648 

157 
1.845 

29 

74 

481 

169 

1,934 

779 
19 
46 
38 
51 

7,142 
176 
141 

4,815 

55 

266 

53 

194 

3,213 

71 
184 

94 

9 

257 

322 
134 


80 

869 

162 

668 

1,626 

239 
674 
293 
604 
60 

271 
1,043 
391 
384 
265 

2,034 
549 
278 

1,094 
194 

134 
994 
703 
848 
570 

172 
1,246 
1,891 

256 
4,703 

175 
567 
724 
546 
6.966 

1,419 

87 

210 

135 

415 

16,691 
322 
205 

10,618 


147 

1,512 

343 

987 

4,890 

521 
1,009 
1,093 

918 

235 

519 
1,220 

747 
1,375 
1.275 

3.460 

1,216 

389 

2,289 

337 

620 
2,670 
1,550 
2,020 
2,123 

748 
1,942 
3,866 

666 
8,706 

351 

833 

1,039 

1,804 

16,219 

4.975 
243 

1,476 
533 
744 

48,581 
616 
421 

35,583 

1 

123 
868 
360 
600 
23,435 

743 
2,407 
1,324 

212 
3,058 

1^437 
1,907 


13 

677 

43 

873 

1.391 

69 
440 

94 
514 

36 

160 
272 
183 
133 
135 

1.613 
211 

43 
654 

69 

43 
331 
563 
587 
309 

60 

783 

1,509 

72 
3,481 

42 

106 

508 

268 

6.547 

593 
13 

184 
39 

192 

24.245 
196 
314 

11.361 
3 

6 

279 

96 

90 

4,205 

85 
528 
117 

17 
293 

509 

224 


2 




4 


34 




4 




16 
13 

1 
8 


38 




141 




3 


Perris 


7 




23 


Pico Rivera 


5 


24 




2 






7 
33 
8 
5 
8 

71 
21 

6 
36 

6 

11 
50 
18 
18 
18 

6 
20 
124 

9 
120 

4 
11 
9 
9 
211 

50 


14 


Pittsburg 


3 

1 


33 




33 




8 


Pleasanton 


2 

34 

2 
1 
6 


19 




378 








5 




24 




7 


Red Bluff 




1 




3 

2 
2 

1 

9 
36 


11 


Redlands 


18 




11 


Redwood City 


12 


Reedley 






35 




128 




25 


Riverside 


22 
2 


292 


Rocklin 


6 




13 




5 

1 

43 

11 


26 


Roseville 


8 


Sacramento 


200 


Salinas 


48 




7 


San Bruno 


1 

1 
1 

135 
2 
3 

101 


2 
4 
8 

439 
8 

10 
419 


9 




1 


San Clemente 


21 


San Diego 


291 




11 


San Fernando ... 


1 


San Francisco 


420 












3 

16 

5 

6 

416 

4 
12 
23 


19 
98 
13 
16 
1.034 

23 
175 
23 
16 
89 

261 

72 


32 
586 
150 
340 

5,752 

288 
800 
381 
82 
392 

562 
433 






37,120 

16,839 

16,210 

782,248 

26,183 
68.223 
41.958 
12,959 
85,486 

25,158 
48,404 


3 

1 

1 

35 


16 


Sanger 


15 




6 


San Jose 


456 


San Juan Capistrano 


12 




1 
1 
1 
1 

8 

1 


15 


San Luis Obispo 


6 








23 

18 
13 


16 


San Pablo 

San Rafael 


30 
18 



76 



Table 6. — Number of Ofienses Known to the Police, Cities and Towns 10,000 and over in Popniation, 1990 — Continued 



City by Suie 



Population 



Cnmc 
Index 
tolsl 



ModiHcd* 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



LArceoy- 
theft 



Motor 
vehicle 
theft 



CAUFORNU— Continiied 

San Ramon 

Santa Ana 

Santa Barbara 

Santa Clara 

Sanu Clarila 

Santa Cniz 

Santa Fe Springs 

Santa Maria 

Santa Monica 

Santa Paula 

Santa Rosa 

Saratoga 

Seal Beach 

Seaside 

Selma 

Sierra Madre 

Simi Valley 

South El Monte 

South Gate 

South Lake Tahoe 

South Pasadena 

South San Francisco 

Stanton 

Stockton 

Suistin City 

Sunnyvale 

Temple City 

Thousand Oaks 

Torrance 

Tracy 

Tulare 

Ttirlock 

Tustin 

Twenty-Nine Palms 

Twin Cities 

Ukiah 

Union City 

Upland 

Vacaville 

Vallejo 

Ventura 

Victorville 

Visalia 

Walnut 

Walnut Creek 

Watsonville 

West Covina 

West Hollywood 

Westminster 

West Sacramento 

Whittier 

W<x>dland 

Yorba Linda 

Yuba City 



35,303 

293,742 

85,571 

93,613 
1 10.642 
49,040 
15,520 
61,284 

86,905 
25.062 
113,313 
28.061 
25.098 

38,901 
14,757 
10,762 
100,217 
20,850 

86,284 
21,586 
23,936 
54,312 
30,491 

210,943 
22,686 

117,229 
31,100 

104,352 

133.107 
33.558 
33,249 
42.198 
50,689 

11,821 
11,070 
14,599 
53.762 
63,374 

71,479 
109,199 
91,253 
40,674 
75,636 

29,105 
60.569 
31.099 
96.086 
36,118 

78,118 
28,898 
77,671 
39,802 

52,422 

27,437 



988 

22,291 

5,091 

5,495 
3,955 
4,567 
2,324 
4.370 

9,379 

1,389 

6,634 

444 

830 

1.624 
1.079 
204 
3.148 
1.483 

4.788 
1,666 
1,012 
2,574 
3,143 

24,265 
1.119 
3.951 
1,039 
3,116 

7,732 
1,652 
1.497 
3,510 
3.638 

812 

797 

971 

2,435 

3,919 

2,624 
8.515 
4.974 
4.898 
5.379 

946 
2.754 
2.782 
7,121 
4.045 

5,881 
2.256 
3,530 
2,092 
1,160 

2,260 



991 

22,655 

5,099 

5.525 
4.010 
4.606 
2.333 
4,380 

9,514 

1,394 

6,672 

454 

836 

1,638 
1.083 
205 
3.174 
1.497 

4,818 
1,691 
1,022 
2,596 
3,201 

24,383 
1,126 
3,982 
1,051 
3.I7I 

7,873 
1.670 
1.573 
3,617 
3,691 

823 

800 

973 

2,463 

3,953 

2,641 
8,590 
5,020 
4,922 
5,398 

953 
2.780 
2.795 
7.224 
4,083 

5.893 
2,264 
3,543 
2,127 
1,188 

2,273 



16 
13 

32 
17 

7 
16 

6 

168 

8 

40 

3 

17 

31 

5 

21 

17 
8 

14 
2 
13 
23 
23 

26 
52 
49 
23 
19 

2 
6 
9 
18 

24 

14 
22 
29 
17 
5 

21 



9 

1,553 

130 

76 

74 

102 

110 

92 

614 
31 

155 

3 

33 

81 
21 

2 
58 
85 

472 
43 
72 
75 

128 

1,305 
33 
80 
52 
60 

393 
32 
80 
66 
79 

18 
11 
13 
82 
129 

48 
448 
129 
172 
128 

29 

35 

82 

276 

362 

205 
67 
134 

22 
17 

32 



13 
994 
465 

283 
627 
207 
206 
249 

587 

109 

398 

28 

12 

263 

95 

2 

196 

212 

286 
112 
38 
137 
245 

1,103 
65 

135 
79 

129 

437 
156 
118 
215 
69 

52 

13 

36 

179 

262 

169 
994 
182 
1,002 
405 

100 
135 
171 
428 
352 

185 

96 

265 

151 

53 

121 



164 
3,574 
1,087 

723 
798 
910 
429 
874 

1.482 
338 

1,362 
159 
234 

228 

20 

76 

835 

380 

1,083 
516 
266 

327 
707 

5,070 
284 
499 
279 
935 

1.479 
308 
470 

1,023 
780 

288 
162 
246 

486 
932 

403 

1,500 

1,162 

850 

996 

314 

463 

492 

1,275 

1,201 

1,185 
633 
686 

425 
273 

509 



734 

12,136 

3,030 

3.930 
1.906 
2.883 
1.083 
2,923 

5,078 
839 

4,119 
239 
445 

902 
798 
106 
1,655 
476 

1,444 

903 

455 

1,645 

1,745 

13,037 

652 

2,783 

490 

1,696 

3,957 
1,031 
583 
1,977 
2.301 

376 

569 

617 

1,483 

2,003 

1,753 
4.295 
3,085 
2,240 
3,494 

369 
1.965 
1.858 
3.513 
1.354 

3.171 
1.191 
1,904 
1,296 
680 

1,419 



60 

3,918 

348 

442 
529 
433 
486 
194 

1,541 

70 

537 

14 

96 

127 
135 
18 
387 
314 

1,462 

75 

174 

373 

309 

3,531 

76 

412 

133 

277 

1,433 
118 
221 
211 
395 

63 
40 
45 
182 
564 

225 
1,218 
366 
609 
330 

129 
150 
164 
1,603 
749 

1,117 
241 
506 
180 
129 

154 



77 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — 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" 


COLORADO 


89,145 

222,103 

83,312 

14,203 

24,638 
12,687 

281,140 
16,466 

467,610 

12,430 
29,387 
87,758 
13,116 
29,034 

60,536 
14,548 
126,481 
33,685 
51,555 

12,361 

37,352 
27,195 
98,640 
10,362 

55,031 
74,774 
29,419 

18,403 
13,937 
16,787 
17,541 

19,483 
27,603 
141,686 
60,640 
14,113 

25,684 
12,767 
10,063 
12,286 
55,585 

18,196 
12,199 
10,428 
50,452 
26,144 

10,081 
45,532 
53,418 
20.608 
27,901 

58,441 
35,307 
19,848 
52.434 


3,742 

17,834 

6,041 

1,181 

1,225 

790 

21,017 

1,902 
36,269 

1,012 
3,483 
4,796 
718 
2,609 

4,819 

577 
8,484 
1,515 
2,974 

422 
1,550 
2,167 
7,797 

485 

3,672 
5,006 
1,941 

678 
308 
370 
261 

994 

628 

17,784 

2,257 

319 

524 
295 
227 
459 
3,352 

514 

563 

234 

2,941 

1,022 

335 
2,095 
2,373 
1.001 

630 

1.719 

1.480 

569 

2,884 


3,769 

17,933 

6,065 

1,200 

1,251 

798 

21,129 

1,907 
36,706 

1,014 
3,511 
4,837 
728 
2,631 

4,867 
583 
8,548 
1,536 
2,980 

426 
1,563 
2,178 
7,844 

488 

3,688 
5,032 
1,955 

680 
310 
371 
261 

997 

630 

17,944 

2.271 

319 

528 
300 
229 
460 
3,357 

515 

564 

235 

2.956 

1.022 

337 
2,116 
2,374 
1,001 

630 

1,728 

1,484 

570 

1 2,885 


1 
8 
1 


17 

170 

19 

8 

5 
2 

201 
6 

375 


25 

397 

32 

4 

6 

4 

258 

24 

1,312 

5 
53 
21 

1 
29 

39 

125 
23 
26 

2 

5 

27 

140 

4 

35 
40 
41 

38 

1 
4 
2 

21 

9 

1,770 

44 

1 

5 
4 

7 
60 

5 
16 


347 

2,616 

131 

74 

63 

24 

716 

94 

2,451 

47 

215 

302 

60 

89 

173 
24 

416 
46 

136 

25 
99 
76 
1,485 
10 

158 
203 
117 

35 
4 

5 
3 

51 

7 

982 

119 

4 

2 


658 

3,018 

966 

287 

213 
113 

4,064 
348 

9,339 

92 
483 
766 
104 
345 

981 
115 
1,449 
264 
541 

92 

235 

310 

1.683 

55 

623 
905 

337 

116 

70 

103 

52 

172 

72 

4.628 

686 

64 

122 
86 
40 
75 

613 

123 
153 
49 
604 
194 

65 
387 
499 
149 
120 

302 
229 
157 
383 


2,511 

10,501 

4,660 

741 

889 
623 

14,614 
1,312 

16,792 

851 
2,458 
3,492 

520 
2,010 

3,415 
424 
5,910 
1,079 
2,152 

287 
1,142 
1,621 
4,040 

398 

2.610 
3,526 
1,333 

423 
212 
226 
180 

637 

453 

5,403 

1,235 

233 

358 
190 
157 
323 
2,267 

331 
297 
142 
1,748 
615 

209 

1,404 

1,440 

741 

469 

1,222 

1,114 

387 

1,871 


183 

1,124 

232 

67 

48 
24 

1,155 
118 

5,933 

17 
254 
157 

31 
118 

183 
11 

537 
96 
97 

13 

53 

122 

341 

17 

216 
317 
102 

65 
19 
32 
19 

107 

86 

4,865 

161 

15 

37 
15 
13 
45 
310 

52 

76 

20 

369 

156 

37 

231 

368 

90 

30 

156 

52 

22 

527 


27 




99 




24 




19 




1 


26 




8 




9 


112 




5 




67 


437 




2 




1 
2 

1 


19 
56 

2 
17 

27 
2 

44 
7 

22 

3 

IS 

11 

102 

29 
14 
10 

1 
2 


28 


Fort Collins 


41 


Golden 


10 


Grand Junction 


22 


Greeley 


48 




6 


Lakewood 


3 


64 




21 






6 






4 


Loveland 


1 


13 




11 


Pueblo 


6 


47 




3 




1 


16 


Westminster 


26 


Wheat Ridge 


14 


CONNECTICUT 


2 






2 


Berlin 




1 


Bethel 


1 


4 

6 

1 

79 

12 

2 






3 






2 


Bridgeport 


57 


160 




14 








Cheshire 




4 


Clinton 






5 


Coventry 






16 

7 
88 

2 

18 

23 

111 

30 

14 
34 
21 
10 
6 

14 

50 

2 

20 


2 




2 
14 

1 
3 


1 






5 


Darien 




1 


Derby 




1 






1 


East Hartford 


1 


16 


92 

27 

8 
32 
43 

5 

2 

24 
19 

65 


15 






2 
6 
1 

6 
3 

16 


2 


Enfield 


1 


21 


Fairfield 


1 






Glastonbury 










9 


Groton Town 




4 


Guiirord 




1 


Hamden 




18 


1 



78 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued 



Cily by Slate 



PopulatioD 



Crime 
Index 
loUl 



Modified" 
Cnme 
Index 
loul 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
then 



Motor 
vehicle 
theft 



CONNECTICUT— Continued 

Hartford 

Madison Town 

Manchester 

Meriden 

Middletown 

Milford 

Monroe 

Naugatuck 

New Britain 

New Canaan 

New Haven 

Newington 

New London 

New Milford 

Newtown 

North Branford 

North Haven 

Norwalk 

Norwich 

Orange 

Plainfield 

Plainville 

Plymouth 

Ridgefield Town 

Rocky HiU 

Seymour 

Shelton 

Simsbury 

Southington 

South Windsor 

Stamford 

Stonington 

Stratford 

SufTield 

Torrington 

Trumbull 

Vernon 

Wallingford 

Waterbury 

Waterford 

Watertown 

West Hartford 

West Haven 

Westport 

Wethersfield 

WiUimantic 

Wilton 

Windsor 

Windsor Locks 

Wolcott 

DELAWARE 

Dover 

Newark 

Wilmington 



139,739 

15,485 
51,618 
59,479 
42,762 
49,938 

16,896 
30,625 
75,491 
17,864 
130,474 

29,208 
28,540 
23,629 
20,779 
12,996 

22,247 
78,331 
37,391 
12,830 
14,363 

17,392 
11,822 
20,919 
16,554 
14,288 

35,418 
22,023 
38,518 
22,090 
108,056 

16,919 
49,389 
11,427 
33,687 
32,016 

29,841 
40,822 
108,961 
17,930 
20,456 

60,110 
54,021 
24,410 
25,651 
15,247 

15,989 
27.817 
12,358 
13.700 



27,630 
25.098 
71,529 



21.528 

421 
2,280 
3.142 
2,410 
2,649 

285 

933 

5,280 

354 

21,012 

1,013 

2,561 

466 

345 

240 

906 

6.224 

1,574 

881 

265 

586 
392 
216 

542 
347 

717 
327 

1,209 
417 

6.625 

600 
1,950 

182 
1,393 
1.291 

871 

1,505 

10,066 

796 

629 

2,682 
3,255 
1,000 
785 
1,003 

208 
933 
435 
384 



2,325 
1.498 
8,046 



21,724 

424 
2.281 
3.189 
2,426 
2,659 

287 

943 

5.318 

354 

21,090 

1.013 

2.572 

471 

346 

241 

907 

6.231 

1.586 

884 

268 

591 
393 
217 
543 
351 

717 
329 

1.209 
417 

6,671 

603 
1,970 

184 
1,403 
1,292 

877 

1,523 

10.080 

805 

632 

2,697 
3.269 
1.006 
787 
1.004 

208 
933 
437 
386 



2,337 
1.512 
8,089 



19 



160 

2 
15 
13 
12 

9 

1 
10 
36 

168 



17 



1,727 

4 
43 
64 
47 
42 

3 

4 

235 

1 

1,784 

14 

83 

5 

2 
2 

17 

208 

30 

20 

1 

5 
2 



11 
5 

7 
3 
7 
5 
237 

3 
89 



11 
11 

18 
10 

272 

18 

5 

70 
81 
12 
15 
20 



30 

12 

107 



58 

18 

547 



2.201 

9 

16 

90 

133 

26 

12 

27 

186 

5 

2,008 

13 

179 

10 

7 

7 

22 

167 

90 

11 

9 

4 

5 
12 
II 
60 

19 

8 

42 

7 
273 

1 
24 

5 
43 

9 

44 

26 

347 

31 

3 

51 
114 
30 
43 
19 



95 

83 

581 



5,281 

151 
457 
706 
346 
413 

62 
189 

1,121 
107 

4,476 

39 
576 

84 
128 

60 

153 

1,648 

381 

108 

67 

117 
141 
69 
93 

74 

164 

55 

350 

90 

1,512 

179 
427 
55 
225 
147 

170 

303 

2.595 

59 

122 

619 
683 
254 
121 

245 

51 
201 

55 
116 



272 

193 

1,509 



9,244 

235 
1,649 
1,981 
1,643 
1,706 

185 
602 

3,226 
215 

9,086 

871 
1,487 
315 
175 
149 

604 
3.312 
984 
661 
155 

406 
208 
123 
367 
166 

380 
230 

712 

279 

3,586 

400 

851 

93 

1,001 

961 

588 
990 
5,234 
633 
452 

1,701 

1,876 

608 

530 

673 

141 
595 
298 
240 



1,737 
1.090 
4,355 



2,896 

20 

99 

286 

229 

452 

22 

101 

470 

25 

3,459 

76 
218 
52 
33 
22 

108 

873 

86 

80 

32 

49 
33 
12 
56 
40 

144 

25 

88 

34 

989 

17 

551 

25 

96 

161 

48 

173 

1,581 

54 

44 

237 

484 

95 

74 

45 

16 
90 
61 
24 



130 
102 
940 



79 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued 



City by State 



Population 



Crime 
Index 
total 



Modified* 
Crime 
Index 
total 



Murder 
and non- 
negiigent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



DISTRICT OF COLUMBIA 

Washington 

FLORIDA 

Altamonte Springs 

Apopka 

Boynton Beach 

Bradenton 

Callaway 

Cape Coral 

Cocoa Beach 

Cooper City 

Coral Gables 

Coral Springs 

Dania 

Daytona Beach 

Deerfleld Beach 

De Land 

Fort Lauderdale 

Fort Pierce 

Gulfporl 

Hallandale 

Hialeab 

Hollywood 

Jacksonville 

Key West 

Kissimmee 

Lake City 

Lauderdale Lakes 

LauderhiU 

Melbourne 

Miami 

Miami Shores 

Miramar 

New Smyrna Beach 

North Lauderdale 

North Miami 

North Palm Beach 

North Port 

Oakland Park 

Ocala 

Ocoee 

Orlando 

Ormond Beach 

Palatka 

Palm Bay 

Palm Beach Gardens 

Panama City 

Plantation 

Pompano Beach 

Port St. Lucie 

Riviera Beach 

Safely Harbor 

St. Augustine 

St. Petersburg 

Sarasota 

Sebastian 

South Miami 



606,900 



34,879 
13,512 
46,194 
43,779 

12,253 
74,991 
12,123 
20,791 
40,091 

79,443 
13,024 
61,921 
46,325 
16,491 

149,377 
36,830 
11,727 
30,996 

188,004 

121,697 

636,680 

24,832 

30,050 

10,005 

27,341 
49,708 
59,646 
358,548 
10,084 

40,663 
16,543 
26,506 
49,998 
11,343 

11,973 
26,326 
42,045 
12,778 
164,693 

29,721 
10,201 
62,632 
22,965 
34,378 

66,692 
72,411 
55,866 
27,639 
15,124 

11,692 
238,629 
50,961 
10,205 
10,404 



65,389 



3,547 
1,643 
4,888 
4,704 

551 
3,849 
1,333 

679 
5,415 

3,055 
2,092 
10,421 
4,052 
2,666 

25,566 

5,346 

906 

2,659 

18,234 

12,822 

66,618 

5,825 

3,848 

1,657 

2,880 
3,798 
6,990 
68,209 
1,158 

2,098 
1,297 
1,564 
6,402 
511 

450 

4,157 

7,733 

684 

23,750 

1,185 
1,827 
4,097 
2,133 
3,264 

6,127 

10,194 

2,538 

6,299 

771 

1,832 

29,325 

7,869 

440 

1,307 



65,639 



3,554 
1,649 
4,894 
4,714 

553 
3,860 
1,333 

680 
5,419 

3,061 
2,103 
10,452 
4,056 
2,668 

25,621 

5,375 

909 

2,664 

18,288 

12,834 

67,036 

5,841 

3,858 

1,659 

2,886 
3,800 
7,018 
68,478 
1,160 

2,104 
1,297 
1,565 
6,420 
515 

450 
4,159 

7,758 

686 

23,807 

1,185 
1,835 
4,105 
2,137 
3,270 

6,139 

10,243 

2,548 

6,313 

777 

1,838 

29,531 

7,882 

442 

1,309 



472 



9 

5 
1 

31 

19 

2 

1 

14 

II 

176 



1 

5 

3 
1 
3 
129 
1 



303 



19 

8 

19 

29 

1 
17 
II 

5 
6 

10 
13 
74 
18 
15 

114 

56 

1 

14 

68 

48 

704 

19 

19 

7 

15 

30 

21 

299 

3 

7 
5 

13 
16 



3 

18 

33 

13 

181 



7 

175 

53 

2 

I 



7,365 



102 

76 

264 

211 

3 

34 

21 

13 

209 

51 
155 
494 
201 

92 

1,306 

315 

33 

246 

1,197 

501 
3,963 

273 
85 
24 

154 
205 
149 
8,172 
131 

118 
32 
31 

565 
9 

4 
224 
394 

3 
1,449 

32 
117 
43 
50 
58 

146 

563 

16 

418 

5 

64 

2,051 

336 

7 

89 



6,779 



145 
174 
501 

457 

49 

200 

56 

27 

107 

131 
148 
899 
288 
226 

976 
621 
132 
281 
1,100 

578 
6,811 
400 
350 
215 

190 

250 

661 

7,007 

40 

136 
105 

93 
307 

15 

10 

192 

530 

52 

2 449 

58 
258 
256 

83 
266 

129 

1,487 

141 

667 

82 

170 

3,352 

507 

22 

101 



12,035 



696 

355 

976 

1,532 

68 

1,083 

229, 

192 

1,137 

535 
504 
2,948 
880 
615 

6,305 

1,407 

233 

595 

3,955 

2,554 

17,529 

1,588 

719 

304 

624 

767 

1,581 

13,507 

338 

627 
270 
392 
1,495 
128 

143 
843 

1,672 
142 

5,453 

236 
371 
986 
446 
717 

1,059 
2,766 

808 
2,735 

194 

310 
6,145 
1,922 

138 

375 



30,326 



2,273 

895 

2,607 

2,239 

414 

2,311 

955 

416 

3,374 

2,113 
996 
5,214 
2,364 
1,629 

14,409 

2,405 

453 

1,242 

8,498 

7,704 
31,392 
3,198 
2,490 
1.042 

1,358 

1.972 

4,216 

29,518 

510 

958 

832 

914 

2,896 

325 

276 
2,455 
4,763 

376 
12,662 

822 
1,022 
2,638 
1,418 
2,076 

4,153 
4,441 
1,480 
1,690 
460 

1,222 
14,975 

4,702 
248 
650 



8,109 



308 
135 
518 

227 

16 

201 

60 

25 

580 

213 
276 
783 
296 
88 

2,425 

523 

52 

280 

3,402 

1,426 

6,043 

347 

184 

60 

536 
573 
359 
9,577 
135 

249 

53 

119 

1,122 

33 

14 

422 

325 

97 

1,526 

35 

50 

148 

134 

135 

630 
898 

84 
742 

29 

58 

2,596 

339 

22 

91 



80 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued 



City by State 



Population 



Cnrae 
Index 
lotaJ 



Modified' 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



FLORIDA— CoDtiniied 

Stuart 

Simrise 

Tamarac 

Tampa 

Tarpon Springs 

Titusville 

West Palm Beach 

Wilton Manors 

GEORGIA 

Alpharetta 

Amehctis 

Atlanta 

Augusta 

Bainbridge 

CarroUton 

Cartersville 

College Park 

Columbus 

Cordele 

Covington 

Dalton 

Ehiblin 

East Point 

Forest Park 

La Grange 

Lawrenceville 

Macon 

Marietta 

Moultrie 

Rome 

Savannah 

Smyrna 

SneUviUe 

Statesboro 

Thomasville 

Tifton 

Valdosta 

Warner Robins 

HAWAII 

Hilo 

Honolulu 

IDAHO 

Boise 

Caldwell 

Coeur d'Alene 

Idaho Falls 

Lewiston 

Moscow 

Nampa 

Pocatello 

Rexburg 

Twin Falls 



11,936 
64.407 
44,822 
280,015 
17,906 

39,394 
67,643 
11,804 



37,054 
836,231 



125,738 
18,400 
24,563 
43,929 

28,082 
18,519 
28,365 
46,080 
14,302 

27,591 



1.198 
3.436 
1.865 
44.660 
1.331 

2.939 

12.824 

961 



13,002 


434 


16,512 


1,074 


394,017 


75,793 


44,639 


5,342 


10.712 


1,072 


16.029 


2,670 


12,035 


993 


20.457 


3.831 


179.278 


12.019 


10.321 


1.386 


10.026 


1.373 


21.761 


2.258 


16.312 


1.256 


34.402 


4,286 


16.925 


2.094 


25.597 


2,810 


16.848 


935 


106,612 


11.741 


44,129 


5.906 


14,865 


1.660 


30.326 


3.266 


137.560 


13.179 


30.981 


4.785 


12.084 


543 


15.854 


1.046 


17.457 


1.813 


14.215 


1.567 


39.806 


2,429 


43.726 


3,847 



3,392 
51,028 



6,989 
1,789 
1,941 
2.853 

1,022 

644 

2,538 

2,383 

723 

2,082 



1.200 
3.440 
1.871 

1.334 

2.952 

12,854 

966 



76,104 



12,064 



11.795 



13.229 



3.412 
51.342 



7.016 
1.803 
1.951 
2.862 

1.023 

650 

2.561 

2.387 
724 

2,092 



1 

1 

231 

24 



7 

3 

343 

4 

13 
96 



1 

6 

695 

37 

10 
18 
7 
28 
93 

6 
6 
9 
8 
40 

7 
10 

7 
78 
49 

II 

35 

102 

31 

I 

3 
II 
12 
29 

25 



26 

278 



39 

77 

74 

2,915 

33 

78 

1,044 

38 



5 

40 

6,109 

277 

22 

68 

25 

232 

456 

35 
41 
52 
40 
258 

109 
100 
30 
260 
152 

45 

75 

779 

123 

2 

17 
89 
80 
139 
56 



39 
889 



133 

238 

80 

5.290 

184 

231 

815 

12 



II 

77 

9.062 

151 

75 
159 

37 
182 
464 

129 

78 

152 

156 

278 

87 
196 

39 
401 
320 

307 
176 
577 
113 

3 

57 
147 
213 
140 
351 



86 
I.2II 



378 
82 
114 
153 

II 

12 

95 

224 

9 



66 



235 
607 
307 
11.400 
342 

882 

3,346 

206 



96 

253 

15,519 

1,677 

298 
604 
244 
671 
2,549 

385 
260 
432 
157 
1,092 

516 

542 

188 

2.623 

1.117 

431 

890 

2,763 

867 

56 

198 
319 
286 

734 
758 



668 
9,785 



1,369 
324 
271 
463 

115 

89 

469 

292 

54 

343 



755 

2,240 

1,249 

18,484 

719 

1,541 

5,621 

606 



264 

678 
33,020 

2,742 

620 
1.718 

599 
2.057 
7.673 

768 
905 

1.398 
842 

1,931 

1,182 
1,811 
588 
7,544 
3,705 

792 
1,865 
7,991 
3,217 

464 

739 
1,163 

925 
1,231 
2,473 



2,392 
35.514 



4,857 
1,309 
1.483 
2.112 

851 

521 

1.852 

1.748 

656 

1.567 



35 

267 

151 

6.168 

48 

191 

1.889 

97 



56 

19 

11,157 

434 

45 
103 

81 
655 
761 

59 
82 

211 
52 

686 

192 
148 
83 
814 
561 

70 
221 
934 
425 

17 

30 

78 
47 
144 
182 



177 
3,317 



287 
54 
45 

106 

38 
20 
99 
78 
3 



90 



81 



able 6. — Number of Offenses Known to tbe Police, Cities and Towns 10,000 and over in Popalation, 1990 — Continued 



City by Sute 



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 



nxiNois' 

ddison 

Igonquin 

slip 

Iton 

rlington Heights 

urora 

utlett 

itavia 

sUeviUe 

sUwood 

slvidere 

:nsenviUe 

srwyn 

loomingdale 

ioomington 

lue Island 

Dlingbrook 

Durbonnais 

radley 

ridgeview 

rookfield 

uflalo Grove 

urbank 

ahokja 

alumet City 

anion 

arbondale 

arol Stream 

arpentersviUe 

ary 

entralia 

bampaign 

harleston 

hicago 

bicago Heights 

hicago Ridge 

icero 

oUinsviUe 

ountry Club Hills 

rest HiU 

restwood 

rystal Lake 

ianville 

larien 

iecatur 

•eerfield 

•e Kalb 

>es Plaines 

>ixon 

tolton 

>owners Grove 

ast Moline 

ast Peoria 

ast St. Louis 

xlwardsviUe 

^flingham 

ilgin 



32,058 
11,663 
18,227 
32,905 

75,460 
99,581 
19,373 
17,076 
42,785 

20,241 
15,958 
17,767 
45,426 
16,614 

51,972 
21,203 
40,843 
13,934 
10,792 

14,402 
18,876 
36,427 
27,600 
17,550 

37,840 
13,922 
27,033 
31,716 
23,049 

10,043 
14,274 
63,502 
20,398 
2,783,726 

33,072 
13,643 
67,436 
22,446 
15,431 

10,643 
10,823 
24,512 
33,828 
18,341 

83,885 
17,327 
34,925 
53,223 
15,144 

23,930 
46,858 
20,147 
21,378 
40,944 

14,579 
11,851 
77,010 



851 
4 



18 



17 
100 

24 

245 

8 

1 

28 

82 
4 
8 

66 

5 

25 

44 

21 

5 

2 

9 

7 

2 

34 

20 

74 
4 
26 
15 
17 



7 

131 

3 

37,156 

130 
9 

101 
15 
13 

17 
2 
3 

75 
3 

120 

2 

8 

23 

3 

75 

18 

3 

7 

663 

5 

10 
115 



61 

8 

42 

150 

46 

535 

30 

8 

42 



12 
55 
46 
23 

136 
33 
53 
11 
29 



6 
92 
50 

71 
16 
76 
66 
61 

2 

44 

405 

16 

41,114 

393 
17 

483 
43 
18 

25 

2 

17 

220 

7 

422 
2 

36 

41 

8 

36 
45 
31 
12 

1,570 



7 
220 



235 

52 

190 

687 

460 

1,603 

132 

129 

337 

212 
93 
234 
419 
101 

474 
196 
182 
69 
158 

124 

70 

80 

225 

192 

399 
124 
265 
279 
199 

7 

268 

890 

114 

50,203 

320 
121 
710 
199 
105 

51 
14 

71 

574 

42 

1,192 

28 

171 

294 

108 

330 

305 

94 

193 

1,131 

87 

97 

963 



1,049 
219 
827 

1,744 

2,110 

3,944 

525 

357 

1,367 

759 

466 

926 

1,145 

1,176 

1,987 
942 
668 
316 
707 

834 
295 
650 
1,316 
802 

1,772 
456 
1,150 
1,052 
1,112 

110 

723 

3,202 

307 

130,000 

1,072 
926 
563 
769 
326 

482 
133 
781 
1,772 
271 

3,639 

328 

1,135 

1,495 

448 

1,349 

1,438 

234 

700 

1,088 

412 

632 

2,702 



70 

22 

179 

124 

117 

302 

16 

9 

102 

194 

16 

109 

345 

48 

92 

259 

142 

13 

35 

71 
36 

22 

137 

50 

611 

27 
41 
43 

72 



31 

209 

8 

48,626 

422 

109 

622 

73 



66 

48 
20 
92 
25 

125 
9 

57 
153 

12 

27q 

90 

12 

22 

1,139 

19 

33 

270 



>ee footnote at end of table. 



(2 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued 



City by Sute 



Population 



Cnme 
Index 
total 



Modined* 
Crime 
Index 
total 



Murder 
and non- 
nesligeat 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



ILLINOIS'— Continued 



Elk Grove Village 
Elmhuret 



Elmwood Park 

Evanston 

Evergreen Park . 
Fairview Heights 
Forest Park 



Franklin Park ... 

Freeport 

Galesburg 

Geneva 

Glendale Heights 



Glen EUyn ... 

Glenview 

Granite City . 

Gumee 

Hanover Park 



Harvey 

Hazel Crest ... 

Herrin 

Hickory HiUs . 
Highland Park 



Hinsdale 

HofTman Estates 

Homewood 

Jacksonville 

Joliet 



Justice 

Kankakee 

Kewanee 

La Grange 

La Grange Park 



Lake Forest 
Lake Zurich 

Lansing 

Libert yviUe 
Lincoln 



Lincolnwood 

Lisle 

Lombard 

Loves Park 

Machesney Park 



Macomb 
Marion . . 
Markham 
Matteson 
Mattoon 



Maywood 

Mc Henry . . 
Melrose Park 
Midlothian . . 
Moline 



Morris 

Morton 

Morton Grove . 
Mount Prospect 
Mount Vernon 



33,429 
42,029 

23,206 
73,233 
20,874 
14,351 
14,918 

18,485 
25,840 
33,530 
12,617 
27,973 

24,944 
37,093 
32,862 
13,701 
32,895 

29,771 
13,334 
10,857 
13,021 
30,575 

16,029 
46,561 
19,278 
19,324 
76.836 

11,137 
27,575 
12,969 
15,362 
12,861 

17,836 
14,947 
28,086 
19,174 
15,418 

11,365 
19,512 
39,408 
15,462 
19,033 

19,952 
14,545 
13,136 
11,378 
18,441 

27,139 
16,177 
20,859 
14,372 
43,202 

10,270 
13,799 
22,408 
53,170 
16,988 



14 

17 

42 
163 
24 
16 
55 

15 

19 

16 

1 

7 

11 
4 

16 
8 

16 

483 
14 



10 
8 

2 
276 

6 

200 

3 

9 

2 



6 
5 

19 
10 
5 

3 
11 
56 
11 

2 

319 
1 

52 
20 
24 

1 



31 

23 

5 

242 

16 

18 

25 

31 
154 
43 

3 
37 

9 
14 

95 
13 
48 

169 
37 
14 
12 
19 

5 
38 

9 

72 

640 

25 
414 

22 
18 

7 

6 

4 

19 

1 

24 

9 
15 
48 
35 
30 

19 

25 
59 

16 

7 

324 

4 

46 

14 

121 

9 

9 

10 

36 

41 



235 
227 

80 
1,244 
90 
98 
170 

169 
165 
350 
110 
99 

155 
111 

470 
70 

257 

1,343 

82 

125 

48 

101 

86 
266 

48 

375 

1,318 

117 
825 
174 
210 
53 

31 
55 

234 
66 

116 

82 
130 
351 
248 
231 

136 

161 

224 

53 

48 

547 
22 

132 
98 

438 

50 

68 

107 

294 

443 



1,071 
1,141 

427 
3,439 
1,162 
1,129 

693 

939 

1,029 

1,663 

282 

600 

614 

745 

1,074 

682 

899 

2,028 
343 
286 
195 
600 

199 

1,220 

797 

1,034 

4,340 

203 

2,255 
574 
325 
154 

154 
324 
1,030 
527 
589 

553 

482 

1,786 

896 

725 

493 
525 
226 
1,057 
222 

1,272 
388 

1,285 
508 

1,880 

386 
247 
54 
1,382 
670 



80 
141 

159 
334 
185 
81 
149 

99 

52 
37 
II 
43 

37 
38 
86 
46 
39 

820 
73 
16 
41 
40 

14 
95 

97 

34 

789 

65 
208 
17 
23 
10 



6 

299 

41 

20 

53 

39 

147 

21 

27 

10 
20 
74 
121 
12 

493 
10 

430 
81 
77 

20 

6 

40 

135 

50 



See footnote at end of table. 



83 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued 



Cily by Stale 



Population 



Crime 
Index 
total 



Modified* 
Crime 
Index 
total 



Murder 
and non- 
negligent 

roan- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larx:eny- 
Iheft 



Motor 
vehicle 
theft 



ILUNOIS'— Continued 

Mundelein 

Naperville 

Niles 

Normal 

Norridge 

Northbrook 

North Chicago 

Northlake 

Oak Forest 

Oak Lawn 

Oak Park 

OTallon 

Orland Park 

Ottawa 

Palatine 

Palos Heights 

Pales Hills 

Park Forest 

Park Ridge 

Pekin 

Peoria 

Pontiac 

Prospect Heights 

Quincy 

Rantoul 

Richton Park 

Riverdale 

River Forest 

Rock Island 

Rolling Meadows 

Romeoville 

Roselle 

Round Lake Beach 

St. Charles 

Schaumburg 

Schiller Park 

Skokie 

South Holland 

Springfield 

Sterling 

Streamwood 

Streator 

Taylorville 

Tinley Park 

Urbana 

Vernon Hills 

Villa Park 

Warrenville 

Washington 

Waukegan 

Westchester 

West Chicago 

Western Springs 

Westmont 

Wheaton 

Wheeling 

Wilmette 

See footnote at end of table. 



21,215 
85,351 
28,284 
40,023 
14,459 

32,308 
34,978 
12,505 
26,203 
56,182 

53,648 
16,073 
35,720 
17,451 
39,253 

11,478 
17,803 
24,656 
36,175 

32,254 

113,504 
11,428 
15,239 
39,681 

17,212 

10,523 
13,671 
11,669 
40,552 
22,591 

14,074 
20,819 
16,434 
22,501 
68,586 

11,189 
59,432 
22,105 
105,227 
15,132 

30,987 
14.121 
11,133 
37,121 
36,344 

15,319 
22,253 
11,333 
10,099 
69,392 

17,301 
14,796 
11,984 
21,228 
51,464 

29,911 
26,690 



4 

104 

8 

17 
25 

276 

2 

8 

4 

21 

2 
2 

21 
6 

12 

348 
2 
7 
12 
9 

4 
48 
37 
85 
14 

6 
2 
3 
4 
35 



24 

15 

206 

2 

4 
4 
1 
8 
26 

1 

27 



2 
197 



27 
55 
17 
52 
6 

11 

70 

5 

27 
32 

31 
15 
15 
6 

23 

2 

4 

55 

16 

50 

1.015 

8 

25 

99 

43 

22 

69 

8 

265 

34 

15 
17 
17 
22 
104 

7 

57 

12 

737 

9 

25 
9 
7 

27 
105 

11 

19 

4 

7 

301 

3 
24 

2 
20 
18 

38 

4 



65 
382 
112 
325 

66 

139 
655 
111 
166 
262 

629 
126 

75 

78 

221 

24 

54 

203 

213 

212 

2,272 

47 

127 

416 

82 

45 
169 

83 
523 
190 

91 

61 

75 

135 

668 

126 
276 
166 
1,809 
161 

194 

47 

39 

119 

379 

80 
146 
69 

42 
719 

113 
106 
58 
148 
235 

143 
200 



691 
1,871 
1,043 
1,186 

830 

722 

1,521 

334 

571 

1,347 

2,186 
393 
953 
524 

1,254 

152 
247 
615 
680 
891 

5,985 
315 
309 

1,374 
510 

268 
335 
359 
1,782 
809 

479 
309 
633 
818 

2,527 

413 

1,534 
424 

5.281 
559 

866 
140 
104 
842 
1.334 

709 
977 
244 
175 
3.419 

352 
593 
155 
558 
1,036 

742 
486 



24 
63 

125 
26 

113 

36 

145 

76 

103 

196 

292 
47 

120 
18 

77 

11 
63 
120 
66 
40 

311 
16 
33 
63 
14 

74 
200 
38 
44 
64 

14 
19 
22 
14 
302 

68 

192 

129 

286 

9 

34 
IS 



94 
54 

32 

66 

11 

6 

268 

58 
44 

7 
52 
37 

29 
20 



84 



Table 6. — Number of Offenses Known to tbe Police, Cities and Towns 10,000 and over in Population, 1990 — Continued 



City by Stae 



Population 



Cnme 
Index 
total 



Modined* 
Cnmc 
Index 
lotal 



Murder 
and non- 
□egligcnl 

man- 
slau^tcr 



Forcible 
rape 



Robbery 



Acgra- 
viled 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



ILLINOIS'— Coatiniied 

Winnetka 

Wood Dale 

Woodridge 

Wood River 

Woodstock 

Worth 

Zion 

INDIANA 

Anderson' 

Bedford 

Beech Grove 

Bloomington 

Cannel 

Oarksvilie 

Columbus 

Conner^viUe 

Crawfordsville 

Crown Point 

Dyer 

Elkhart 

Evansville' 

Fort Wayne 

Gary 

Goshen 

Greenfield 

Greenwood 

Grimth 

Hammond 

Highland 

Hobart 

Himtington 

Indianapolis 

Jasper 

Kokomo 

Lafayette 

La Porte 

Lawrence 

Lebanon 

Logansport 

Marion 

Martinsville 

MerrillviUe 

Michigan City 

Mishawaka 

Munstcr 

New Albany 

New Castle 

Noblesville 

Plainfield 

Portage 

Richmond 

SchererviUe 

Speedway 

Terre Haute 

Valparaiso 

Wabash 

Sec footnotes at end of table. 



12,174 
12,425 
26,256 

11,490 
14,353 
11,208 
19,775 



59,459 
13,817 
13,383 
60,633 

25,380 
19,833 
31,802 
15,550 
13,584 

17,728 

10,923 

43,627 

126,272 

173,072 

116,646 
23,797 
11,657 
26,265 
17,916 

84,236 
23.696 
21.822 
16,389 
483,549 

10,030 
44.962 
43,764 
21,507 
26,763 

12,059 
16.812 
32,618 
11,677 
27,257 

33,822 
42,608 
19,949 
36,322 
17,753 

17,655 
10,433 
29,060 
38,705 
19,926 

13,092 

57,483 
24,414 
12,127 



740 

620 

2,813 

707 
1,646 
1,767 

940 

781 

421 

258 

3,815 

7,897 

16,055 

11,361 

1,200 

516 

1.140 

779 

6,596 

1,127 

998 

645 

32,635 

235 
2,810 
2,441 
1,335 
1,026 

231 
941 

2,493 
499 

1,671 

2.806 
3,011 
791 
2.471 
1,341 

601 

356 

1,276 

2,204 

465 

914 
2,949 
1,044 

338 



741 
620 



708 

1,647 

1,767 

948 

791 

425 

259 

3,860 

7,981 

16,252 

12,060 
1,207 

516 
1,143 

779 

6,690 

1,127 

998 

650 

32,922 

236 
2,831 
2,450 
1,335 
1,026 

233 

941 

2,495 

1,671 

2.826 
3,040 
793 
2,532 
1,346 

605 

357 

1,277 

2,265 

467 

918 
3,005 
1,052 

342 



58 



34 
50 
95 

150 

5 
5 
6 



541 



100 

2 

5 

22 



80 
158 
475 

620 
3 
5 
5 
5 

218 
6 

25 

7 

1,642 



11 
52 

24 

23 

6 

155 



51 

13 

251 

32 
45 
168 
12 
24 

56 
11 
49 

713 
739 

1,644 

37 
1 



55 

725 

24 

52 

12 

3,983 

14 

167 

26 

9 

30 

15 
4 

297 
8 

141 

59 
137 

22 
281 

15 

59 
13 
45 
26 



6 

146 

81 

51 



112 

76 

170 

84 

64 

64 

236 



585 

78 

122 

425 

51 
161 
376 
140 
153 

78 

18 

567 

1.644 

2.449 

3.073 
150 
41 
127 

77 

1,167 
103 
163 
123 

7,878 

32 
486 
484 
120 
300 

36 
157 
355 

65 
105 

581 
499 
46 
493 
245 

117 

56 

178 

394 

38 

82 
711 
114 

41 



211 
355 
713 

539 
367 
196 
952 



2,379 
564 
415 

1,872 

591 

1,335 

1,129 

749 

586 

241 

203 

2,933 

5,002 

10,951 

2,834 
956 
447 
951 
504 

3.022 

762 

603 

479 

13,697 

182 
1,997 
1,797 
1,133 

547 

159 
751 

1,691 
404 

1,080 

1,819 
2,077 
627 
1,614 
1,023 

398 
266 
893 
1,603 
340 

731 

1,790 

798 

230 



3 
27 
60 

24 
12 
32 

52 



95 

44 

60 

230 

32 
86 
67 
32 
15 

42 

25 

150 

324 

1,329 

2,975 

48 

17 

51 

137 

1,413 

230 

150 

24 

4,836 

7 
113 
104 
64 
117 

15 
22 
79 
20 
317 

240 

219 

90 

58 

55 

21 

16 

149 

135 

83 

76 

243 

38 

12 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued 



City by Stale 



Population 



Crime 
Index 
total 



Modified* 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



INDIANA— Continued 

Warsaw 

West Lafayette 

IOWA 

Ames 

Ankeny 

Bettendoff 

Burlington 

Cedar Falls 

Cedar Rapids 

Clinton 

Coralville 

Council Bluffs 

Davenport 

Des Moines 

Fort Dodge 

Fort Madison 

Indianola 

Iowa City 

Keokuk 

Marion 

Marshalltown 

Mason City 

Muscatine 

Newton 

Sioux City 

Spencer 

Waterloo , 

West Des Moines 

KANSAS 

Arkansas City 

Atchison 

Coffeyville 

Derby 

Dodge City 

El Dorado 

Emporia 

Garden City 

Great Bend 

Hays 

Hutchinson 

Junction City 

Kansas City 

Ixiwrence 

Leavenworth 

l^awood 

Lenexa 

Liberal 

Manhattan 

McPherson 

Merriam 

Newton 

Olathe 

Ottawa 



10,968 
25,907 



47,198 
18,482 
28,132 
27,208 

34,298 
108,751 
29,201 
10,347 
54,315 

95,333 
193,187 
25,894 
11,618 
11,340 

59,738 
12.451 
20,403 
25,178 
29,040 

22,881 
14,789 
80,505 
11,066 
66,467 

31,702 



12,762 
10,656 
12,917 
14,699 

21,129 
11,504 
25,512 
24,097 
15,427 

17,767 
39,308 
20,604 
149,767 
65,608 

38,495 
19,693 
34,034 
16,573 
37,712 

12,422 
11,821 
16,700 
63,352 
10,667 



722 
1,025 



1,536 

782 

1,284 

1,777 

1,051 
7,256 
1,817 
660 
4,911 

8,595 

17,695 

1,984 

569 

412 

2,806 

685 

593 

1,461 

2,392 

1,110 
674 

5,962 
587 

4,596 

1,803 



910 

508 

1,005 

528 

1,768 

485 

1,747 

2,069 

972 

697 
2,804 
2,278 
18,473 
4,692 

1,953 
535 
1,614 
1,208 
1,810 

337 
904 
648 
3,420 
466 



729 
1,028 



1,543 

790 

1,298 

1,777 

1,052 
7,297 
1,817 
663 
4,928 

8,688 

17,965 

1,990 

569 

415 

2,838 

686 

593 

1,467 

2,401 

1,110 
677 

6,004 
588 

4,646 

1,804 



2,095 



2,812 

2,291 

18,593 



13 

22 
1 

4 

23 

11 

167 

26 



13 
1 

15 
9 

3 
73 
16 

3 
76 

184 

333 

19 



3 
3 
7 
4 

15 
1 
11 
12 
6 

2 

20 

25 

965 

44 

26 
4 
14 

3 



32 

19 

55 

130 

21 

157 
47 
84 

194 

761 

961 

108 

7 

36 

231 

22 

12 

108 

200 

131 

13 

363 

6 

192 

33 



44 
36 
62 
29 

75 
19 
86 
157 
60 

16 

194 

202 

1,730 

238 

135 
13 
50 

55 
76 

II 
37 
17 
208 
27 



107 
127 



182 
109 

213 
347 

168 

1,3J0 

334 

116 

1,145 

1,777 

2,772 

487 

97 

58 

412 
113 
132 
273 
299 

210 
76 

1,423 
45 

1,462 

258 



217 
115 
301 
102 

405 
79 
281 
361 
159 

97 

671 

310 

3,867 

796 

427 
173 
361 
263 
204 

54 
141 
131 
508 
124 



579 
831 



1,219 
633 
961 

1.211 

824 
5,366 
1,345 

426 
3,139 

5.444 

12,673 

1,289 

446 

304 

2,009 

505 

435 

1,021 

1,810 

724 
555 

3,854 
512 

2,643 

1.448 



602 
328 
602 

387 

1,186 

364 

1,311 

1.439 

718 

556 
1,816 
1,673 
8,742 
3.417 

1.280 
335 

1,129 
838 

1.464 

252 
640 
475 
2.476 
302 



28 
33 



63 
16 
33 
78 

32 

335 

74 

26 

331 

346 

844 

75 

16 

14 

108 
38 
12 
43 
70 

38 
28 

210 
23 

178 

42 



31 

25 

24 

3 

80 
14 
43 

77 
27 

22 

79 

53 

2.974 

170 

64 

8 

49 

44 

45 

15 

69 

18 

174 

9 



86 



Table 6.— Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Popolation, 1990— Continued 



City by Sute 


Population 


Cnmc 
Index 
total 


Modifled* 
Crime 
Index 
total 


Murder 
and non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


Anon* 


KANSAS— ContiniKd 

Overland Park 


111.790 
11.924 
17,775 
23,186 
42,303 

37,993 
119,883 
304,01 1 

11,931 

23.622 
40,641 
43,264 
12,420 

18,167 
15,979 
18,624 
16,032 
25.968 

11.414 
12.351 
25.945 
29,809 
10,444 

23,221 

225.366 

269.063 

16.200 

11.328 

14,439 
18,871 
13.603 
53.549 
27.256 

19.772 
21.155 
15.800 
15.535 
10,733 

15,799 

49,188 

233,680 

14,280 

52,721 

17,208 
37,263 
11,305 
72.033 
94.440 

70.580 
13.661 
54,909 
14,531 
31.828 


5.379 
625 

1.235 
405 

2,398 

1,604 

11.416 

27.141 

514 

971 
3.588 
4.077 

731 

1,148 
621 

1,071 
177 

1,271 

706 

122 

2,347 

1.408 

223 

653 

16.245 

17.285 

1,353 

719 

459 
1,565 

725 
2,568 
2,390 

781 
1,003 
910 
642 
635 

696 

5,533 

28,939 

1,020 

3,805 

1,846 
2,602 
660 
6.245 
7.948 

4,422 
696 

6.540 
750 

1.051 


5.401 

2.419 
11.465 

973 
3,588 
4,077 

733 

1,151 
621 

1,071 
179 

1,278 

711 
122 

2,357 

1,422 

223 

654 

16,326 

17,357 

1,363 

721 

459 
1,566 

725 
2,577 
2.394 

783 
1.010 
910 
642 
643 

697 

5.563 

29.108 

1,020 

3,820 

1,850 
2,616 
661 
6,248 
7,965 

4.430 
697 

6.540 
751 


, 


15 
3 
4 

2 
14 

10 

80 

321 

4 

9 
36 
24 

2 

4 


80 
3 
3 
7 

10 

37 

290 

1.079 

1 

12 

65 

93 

5 

10 
3 

20 
2 

36 

4 

2 

18 

28 

12 

452 

1.089 

3 

4 

3 

35 

4 

24 
42 

8 
13 
10 

42 
5 

13 

83 

827 

43 

61 

136 

112 

4 

190 

175 

136 
19 

87 
33 
22 


181 
26 
68 
11 
92 

77 
781 
771 

15 

26 
293 
716 
121 

78 

106 

14 

10 

157 

140 

7 

368 

147 

3 

21 

1.157 

1.031 

182 

39 

47 
185 
101 

59 
306 

151 

158 

24 

34 

65 

66 

527 

3.347 

98 

293 

145 
254 
94 
418 
628 

434 

181 

800 

4 

11 


807 
148 
219 
142 
329 

314 
2,878 
6,230 

148 

212 

764 

1.016 

187 

197 
67 

155 
32 

230 

98 

23 
355 
317 

53 

69 

3.177 

4.765 

205 

141 

121 
379 
122 
537 
388 

137 
192 
148 
167 

73 

67 

1.252 

6.152 

273 

727 

430 

458 

93 

1.220 

1,593 

1,042 
152 

1.146 
280 
240 


3.985 
426 
890 
223 

1.902 

1,106 

6,948 

16,550 

332 

671 
2,240 
1,988 

392 

815 
422 
806 
126 
794 

440 

79 

1,497 

836 

156 

527 

10,538 

8,686 

898 

501 

269 

838 

458 

1,818 

1,516 

440 
565 
680 

325 
464 

501 

3,366 

15,291 

572 

2.466 

958 
1,659 

458 
3,599 
5,187 

2,483 
320 

4,280 
412 
725 


310 
19 
51 
20 
50 

59 

428 

2,172 

14 

38 
189 
236 

24 

44 
23 
72 
6 
47 

20 
10 
92 
62 
9 

24 

760 

1,553 

57 

32 

18 
110 

37 
107 
115 

36 
70 
46 
65 
26 

45 

265 

3,161 

29 

235 

165 

91 

6 

764 

296 

266 
16 

176 
15 
44 


22 






Pittsburc 














1 

1 
U 
18 


21 








49 


Wichita 




Winfield 




KENTUCKY 

Ashland 


3 
1 
4 


2 












2 


Elizabethtown 




3 












4 

1 
7 

3 

1 

16 

14 

1 








2 






7 




1 


5 






Henderson 


4 


10 




14 










1 




20 

39 

3 


141 

122 
5 
2 

1 
16 

3 
23 
21 

9 
3 
1 
8 

2 

3 

29 

112 

4 

20 

12 
24 
2 
40 
64 

54 
4 

47 
5 
6 


81 


Louisville 


72 




10 




2 








Newport 


2 


1 










9 


Paducah 


2 


4 


Rfldcliff 


2 




2 

1 


7 


Si Matthews 




Shively 






8 


Winchester 


1 

11 

49 

1 

3 


1 


LOUISIANA 


30 


Baton Rouge 


169 






Bossier City ... 


15 


Gretna 


4 


Houma 


4 
3 
14 

5 

7 
4 
4 
1 
3 


14 


Jennings 


1 




3 


Lafayette 


17 


Lake Charles 


8 




1 








1 


New Iberia 





87 



Tmble 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued 



City by Suie 



Population 



Crime 
Index 
total 



Modified* 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



LOUISIANA— Coodniwd 

New Orleans 

PineviUe 

Ruston 

Shreveport 

West Monroe 

Westwego 

MAINE 

Auburn 

Augusta 

Bangor 

Bath 

Bidtleford 

Brunswick 

Gorbam 

Lewiston 

Orono 

Portland 

Presque Isle 

Saco 

Sanford 

Scarborougb 

South Portland 

Waterville 

Westbrook 

Windham 

MARYLAND 

Aberdeen 

Annapolis 

Baltimore 

Cambridge 

Cumberland 

Frederick 

Greenbelt 

Hagerstown 

Hyattsville 

Laurel 

Salisbury 

Takoma Park (Montgomery County) .. 
Takoma Park (Prince Georges County) 
Westminster 

MASSACHUSETTS 

Andover 

Belchertown 

Bellingham 

Belmont 

Beverly 

Boston 

Braintree 

Bridgewater 

Brookline 

Cambridge 

Carver 

Chelmsford 

Danvers 



496,938 
12,251 
20.027 

198,525 
14,096 

11,218 



23,664 
21,313 
31,163 
10,834 

21,100 
20,906 
11,856 
39,027 
10,573 

62,103 
10,560 
15,475 
20,463 
12,518 

22,833 
17,380 
15,485 
13,020 



13,087 

33,187 

736,014 

11,514 

23,706 
40,148 
21,096 
35,445 
13,864 

19,438 
20,592 
11,924 
4,776 
13,068 



29,151 
10,579 
14,877 
24,720 

38,195 
574,283 
33,836 
21,249 
54,718 

95,802 
10,590 
32,383 
24,174 



61,799 
604 

1,532 
21,324 

1,306 

471 



1,100 

1,440 

2,044 

499 

1,204 
658 
208 

2,485 
231 

7,257 
247 
755 
781 
446 

1,364 

1,019 

715 

529 



913 

2,605 

77,989 

820 

1,405 
2,784 
1,018 
1,786 
753 

1,159 

2,451 

591 

427 

904 



1,049 
215 
305 
551 

1,017 

68,057 

1,805 

439 

3,088 

7,045 
162 
962 

1,548 



614 

1,532 

21,507 

1,309 

472 



1,103 

1,459 

2,051 

501 

1,224 
661 
212 

2,506 
231 

7,352 
248 
770 
788 
446 

1,371 

1,024 

719 

533 



924 

2,672 

78,656 

829 

1,406 
2,806 

1,809 



2,469 



916 



1,049 
215 
336 
552 

1,020 

1,820 

439 

3,095 

7,074 
162 
965 

1,548 



304 



1 

5 

305 

3 



143 



361 
4 
5 

133 
5 



1 

17 

687 

9 

9 
15 
6 

12 
3 



5 
2 
4 
1 

3 

539 

10 

3 

20 

29 



6,048 

4 

13 

884 

6 

14 



44 



121 
1 

7 
5 
3 

6 
6 
5 

3 



26 

121 

9,477 

22 

9 
96 
46 
53 
60 

35 
102 
49 
34 
10 



2 
10 

20 

6,022 

26 

2 

136 

431 

1 

9 

19 



4,514 

20 

113 

1,444 
61 

37 



5 

22 

14 

3 

20 
8 
8 

69 
6 

269 

4 

3 

8 

16 

14 
18 
6 
9 



58 

289 

7,473 

139 

112 
401 

35 
171 

46 

61 

319 
23 
12 
35 



15 

6,960 

103 

51 

190 

604 
29 
23 
49 



13,624 

222 

183 

5,117 

171 

138 



293 

272 

336 

42 

272 
98 
50 

557 
22 

1,572 
45 
149 
111 
87 



103 
89 
134 
107 



236 

543 

14,753 

177 

266 
462 
140 
323 
127 

174 
336 
158 
77 
142 



180 
86 
90 

207 

264 
10,238 
278 
101 
613 

1,470 

70 

145 

184 



24,806 
333 

1,180 
12,828 

1,010 

231 



713 
1,075 
1,593 

414 

828 
516 
144 
1,711 
198 

4,739 
189 
579 
630 
324 

1,184 

874 
528 
385 



542 

1,515 

35,383 

445 

981 
1,669 

553 
1,147 

393 

738 
1,593 
298 
234 
671 



654 
105 
157 
293 

580 

29,642 

965 

215 

1,600 

3,137 

41 

651 

1,025 



12,142 

21 

36 

853 

53 

46 



68 

47 
77 
37 

61 
28 

6 
80 

4 

517 
7 

16 
26 
15 

57 
25 
37 
23 



49 

115 

9,911 

25 

28 
137 
238 

80 
123 

143 
87 
56 
65 
37 



174 

6 

29 

32 

135 

14,513 

423 

67 

529 

1,371 

21 

133 

270 



88 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued 



City by Stale 



Population 



Crime 
Index 
total 



Modified* 
Cnmc 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



MASSACHUSETTS— Continiied 

Dartmouth 

Dennis 

Dracut 

Duxbury 

East Longmeadow 

Fall River 

Fitcbburg 

Fo:(boro 

Gloucester 

Harvard 

Harwich 

HaverhiU 

Hingham 

Holden 

HoUiston 

Hudson 

Hull 

Ipswich 

Lawrence 

Leicester 

Leominster 

Lexington 

Longmeadow 

Ludlow 

Maiden 

Maishfield 

Maynard 

Medfield 

Medford 

Melrose 

Methuen 

Middleboro 

MUford 

MiUbury 

Milton 

Natick 

Needham 

New Bedford 

Newton 

North Adams 

Northampton 

North Andover 

North Attleboro 

Northbridge 

North Reading 

Norwood 

Oxford 

Peabody 

Pembroke 

Quincy 

Reading 

Revere 

Salem 

Seekonk 

Sharon 

Somerset 



27,244 

13,864 
25,594 
13,895 
13,367 
92,703 

41,194 
14,637 
28,716 
12,329 
10,275 

51,418 
19,821 
14,628 
12,926 
17,233 

10,466 
11,873 
70,207 
10,191 
38,145 

28,974 
15,467 
18,820 
53,884 
21,531 

10,325 
10,531 
57,407 
28,150 
39,990 

17,867 
25.355 
12,228 
25,725 
30.510 

27,557 
99,922 
82,585 
16,797 
29,289 

22,792 
25,038 
13,371 
12,002 
28,700 

12,588 
47,039 
14,544 
84,955 
22,539 

42,786 
38,091 
13,046 
15.517 
17.655 



1,439 

646 

1,033 

209 

677 
7.295 

2,124 

644 

953 

33 

416 

3,026 
593 
167 
145 
321 

333 
390 

8,613 
309 

1,694 

526 
386 
434 
2,538 
671 

161 
144 

2,283 
631 

1,739 

792 
323 
124 
551 
956 

553 
7,008 
2,858 

920 
1,332 

792 

1,509 

284 

339 

741 

332 
2.450 

499 
3.869 

267 

2.628 

1.977 

956 

185 

641 



1,462 

647 

1,034 

209 

678 

7,455 

2,136 

647 

962 

33 

426 

3,059 
593 
167 
146 
328 

338 
390 

8.630 
311 

1,699 

527 

386 

435 

2,540 

- 671 

161 

146 
2,300 

632 
1,742 

793 
324 
125 
554 
956 

553 
7,171 
2,863 

926 
1,342 

795 
1,509 
285 
343 
773 

332 
2,461 

500 
3.922 

267 

2.629 

1.978 

959 

187 

647 



24 



26 

6 

4 

1 

10 

220 

36 

2 
1 



1 

345 

2 

12 



4 

3 

64 

2 

1 
1 

46 

5 
37 

1 
4 
3 

19 
4 

5 

327 

27 

10 

9 



3 

40 

5 

129 

9 

91 

61 

8 

2 

10 



79 

33 
68 
10 
24 
493 

188 
29 

262 

3 

22 

294 

4 

6 

1 

35 

71 
24 

567 
54 

218 

3 
19 

32 

454 

39 

14 

13 

272 

9 

101 

81 



16 
30 
18 

24 
757 

71 
154 

93 

35 
193 
37 
17 
62 

45 
55 
36 
313 
18 

240 
170 

44 
5 

43 



285 

238 

229 

59 

130 

1.764 

494 
258 
142 
16 
114 

954 

126 

37 

20 

79 

111 

76 

2.378 

73 

329 

75 

44 

117 

524 

124 

43 

25 

442 

109 

171 

117 

94 

49 

136 

204 

114 
1.780 
653 
199 
250 

124 

218 

52 

83 

108 

83 
452 
114 
951 

63 

597 
449 
131 
55 
127 



739 

332 
555 
123 
464 
3,463 

1,123 

306 

494 

12 

268 

1.177 
418 
116 
115 
170 

125 
265 
1.730 
151 
942 

411 
311 
219 
909 
448 

83 

100 

1,099 

439 

827 

495 
145 
40 
295 
565 

381 

2,619 

1,753 

484 

861 

523 
869 
176 
200 
404 

156 

1.452 
299 

1.617 
151 

528 
919 
602 
108 
396 



308 

36 

175 

15 

48 

1.300 

258 

48 

52 

1 

6 

555 

43 

6 

9 

27 

24 

22 

3.534 

26 

181 

26 

8 

62 

570 

56 

17 

5 

422 

68 
593 

96 
79 
11 
68 
153 

27 

1,472 

346 

38 

114 

104 

214 
14 
38 

155 

40 
443 

44 
830 

26 

1,160 

366 

167 

15 

64 



89 



Table 6.— Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued 



City by Stale 



Population 



Crime 
Index 
total 



Modified* 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



valed 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



MASSACHUSETTS— Codtinoed 



Somerville . . . 
South Hadley 
Springfield . . . 

Taunton 

Uxbridge 



Waltham 
Webster . 
Westboro 
Westfield 
Weston 



Westwood 
Weymouth . 
Wilbraham . 
Wilmington 
Winchester . 



Woburn . . 
Yarmouth 



MICHIGAN 



Adrian 

Albion 

Allen Park 
Alpena . . . . 



Ann Arbor 

Auburn Hills 

Bay City 

Benton Harbor .. 
Benton Township 



Berkiey 

Berrien Springs-Oronoko 

Beverly Hills 

Big Rapids 

Birmingham 



Blackman Township 

Bloomfleld Township 

Bridgeport Township 

Brownstown Township 

Buena Vista Charter Township 



Burton 

Cadillac 

Canton Township 

Chesterfield Township 
Clawson 



Clinton Township , 

Clio-Vienna 

Davison Township 

Dearborn 

Dearborn Heights 



Detroit 

De Witt Township 
East Grand Rapids 

East Lansing 

Ecorse 



Emmett Township 

Escanaba 

Farmington 

Farmington Hills . 



76,210 
16,685 
156,983 
49,832 
10,415 

57,878 
16,196 
14,133 
38,372 
10,200 

12,557 
54,063 
12,635 
17,651 
20,267 

35,943 
21,174 



22,097 
10,066 
31,092 
11,354 

109,592 
17,076 
38,936 
12,818 
17,163 

16,960 
11,746 
10,610 
12,603 
19,997 

20,492 
42,473 
12,747 
18,811 
10,900 

27,617 
10,104 
57,040 
25,905 
13,874 

85,866 
15,839 
14,671 
89,286 
60,838 

1,027,901 
10,448 
10,807 
50,677 
12,180 

10,764 
13,659 
10,132 
74,652 



3,175 

336 

14,648 

1,968 
218 

1,397 
411 
398 

1,647 
138 

311 

2,141 

325 

589 

287 

1,733 
1,335 



1,302 
342 

1,350 
602 

9,212 
1,058 
2,493 
2,905 
2.904 

501 

331 
258 
727 
733 

669 

1,624 

424 

865 

1,158 

2,191 

651 

2,603 

1,058 

504 

4,467 

856 

422 

7,225 

3,623 

125,325 

399 

235 

2,030 

1,019 

628 

663 

392 

2,737 



3,196 
336 

1,976 
222 

1,397 
413 
398 

1,659 
140 

314 
2,150 
326 
594 
287 

1,751 
1,349 



1,306 
344 

1,350 
607 

9,249 
1,066 
2,509 
2,939 
2,911 

501 
333 
261 

728 
733 

674 

1,634 

427 

870 

1,171 

2,197 

653 

2,616 

1,061 

505 

4,495 

861 

424 

7,232 

3,634 

126,631 

402 

236 

2,077 

1,038 

635 

663 

395 

2,751 



13 



5 
1 

582 



1 

132 

12 

I 



63 
27 
43 
48 
19 

3 

2 

1 

14 

2 

6 
I 
2 
5 
12 

12 
8 
18 

7 
4 

33 
6 

5 

12 
38 

1,657 
6 



137 
1 

999 

58 

1 

21 
4 
2 

14 

1 

3 
16 

2 
8 
2 

20 

14 



7 

5 

26 

4 

125 
38 
30 

107 
43 

7 
2 



8 
17 
13 
12 
39 

42 
1 

19 
4 
5 

93 

5 

2 

153 

124 

13,010 
4 

1 
27 
63 

10 
1 
3 

30 



338 

36 

2,268 

179 

39 

37 

39 

24 

145 



9 

214 

17 

56 

6 

29 
80 



19 

24 
74 
16 

391 
76 
115 
646 
206 

35 
9 
7 

16 

5 

33 
40 
31 
60 

167 

109 
29 
65 
19 
14 

252 

79 

10 

335 

160 

12,498 
16 

1 
73 
172 

26 

17 

8 

133 



683 

60 

3,530 

551 

43 

500 
130 

67 
405 

36 

60 
524 

62 
116 

81 

185 
509 



133 
62 

238 
96 

1,453 
204 
525 
807 
548 

53 

68 

30 

115 



99 
261 

74 
147 
225 

370 

78 

338 

202 

76 

774 
147 
90 
471 
590 

26,063 

77 

18 

249 

229 

168 
53 
55 

600 



1,085 
188 

4,816 
799 
116 

647 
207 
268 
902 
95 

213 
1,018 
183 
318 
173 

1,110 
665 



1,119 
244 
808 
460 

6,811 
584 
1,674 
1,135 
1,966 

380 
240 
203 
562 
563 

492 
1,172 
288 
513 
646 

1,438 
512 

1,923 
756 
365 

2,846 

563 

268 

5,140 

2,131 

41,139 

274 

203 

1,483 

362 

387 

572 

310 

1,761 



922 

50 

2,890 

369 

18 

183 
24 
36 

169 
6 

25 
360 
60 
84 
23 

381 
49 



24 

4 

204 

21 

368 
129 
105 
151 
121 

23 
10 
16 
17 
63 

31 
133 

16 
128 

67 

218 
23 

239 
69 
40 

466 

54 

47 

1,109 

579 

30,376 

22 

12 

181 

174 

34 

14 

15 

193 



90 



Table 6. — Nmnber of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued 



City by Suit 



PopulatioD 



Crime 
Index 
lotaJ 



Modified' 
Cnme 
Index 
toul 



Murder 
and non> 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



MICHIGAN— CoattniMd 

Femdale 

Flint 

Flint Township 

Fraser 

Garden City 

Genesee Township 

Gnmd Blanc Township 

Grand Haven 

Grand Rapids 

Grandville 

Green Oak Township 

Grosse Pointe Farms 

Grosse Pointe Park 

Grosse Pointe Woods 

HambiiTg Township 

Hamtramck 

Harper Woods 

Hazel Park 

Highland Park 

Holland 

Huron Township 

Jaekson 

Kalamazoo 

Kalamazoo Township 

Kentwood 

Lansing 

Leoni Township 

Lincoln Park 

Livonia 

Marquette 

Melvindale 

Midland 

Monroe 

Moimt Qemens 

Mount Morris Township 

Mount Pleasant 

Mundy Township 

Muskegon 

Muskegon Heights 

Muskegon Township 

NUes 

Niles Township 

Northville Township 

Norton Shores 

Novi 

Oak Park 

Oscoda-Ausable Township 

Owosso 

Pittsfield Township 

Plymouth Township 

Portage 

Pott Huron 

Redford Township 

River Rouge 

Riverview 

Romulus 



25,084 

140,761 
34,081 
13,899 
31,846 
24,093 

25,392 
11,951 
189.126 
1 5,624 
11,604 

10,092 
12,857 
17,715 
13,083 
18.372 

14,903 
20,051 
20.121 
30.745 
10.447 

37,446 
80,277 
20.976 
37.826 
127,321 

13,435 
41,832 
100.850 
21.977 
11.216 

38,053 
22,902 
18.405 
25.198 
23,285 

11,511 
40,283 
13.176 
15,302 
12,458 

12.828 
17.313 
21,755 
32,998 
30,462 

14,270 
16,322 
17.668 
23.648 
41.042 

33.694 
54.387 
11.314 
13,894 
22.897 



1.940 

18.963 

2,697 

832 

1,410 

1,161 

999 
730 
16.400 
598 
220 

387 
472 
380 
286 
2.544 

2.011 
2.033 
3,496 
1.601 
373 

3,950 
8.360 
857 
2.074 
10.574 

585 
3,187 
4,356 

766 
1,163 

1,435 
1,264 
1,707 
1,411 
1,219 

523 
4,760 
2,089 
1,007 

915 

360 

595 

888 

1,677 

2,168 

331 
854 

1,608 
679 

2.201 

1,981 
3,353 
1,302 
531 
2,107 



1,950 

19.318 

2.700 

833 

1.429 

1,173 

1,004 

731 

16,541 

600 

220 

391 

472 

380 

297 

2,556 

2,014 
2,049 
3,511 
1,605 
378 

3,991 

8,427 

860 

2,079 

10,666 

587 
3.194 
4.373 

770 
1,167 

1,445 
1,279 
1.721 
1.415 
1.225 

524 
4,794 
2,099 
1,007 

919 

361 

599 

896 

1,683 

2,174 

333 
856 

1,613 
679 

2,206 

1,986 
3,368 
1,321 
531 
2.116 



21 



27 

161 
17 
7 
4 
12 

8 
6 

378 
7 
2 



2 
17 

1 
16 
91 

27 
2 

102 
70 
18 
30 

163 

5 

13 

21 

5 

3 

14 

12 
18 
18 

4 

1 
35 
14 

1 
26 

3 
4 
4 
8 
23 

5 
9 
6 



14 



74 

925 

70 

9 

30 
31 

10 

4 

681 

4 
2 

12 
21 
10 



138 

42 

69 

376 

5 



123 

432 

11 

31 

309 

3 
82 
91 

2 
26 

3 
30 
85 
82 

1 

3 

129 

77 

9 
20 

5 

3 

11 

II 

99 



25 



2 

24 

2 

14 

47 
112 
45 



52 



149 

2.392 

98 

49 

87 

131 

55 
20 
1.948 
10 
15 

10 
5 
I 
9 

267 

12 
339 
576 
125 

27 

658 

1,454 

83 

78 

1,391 

63 
142 
168 

16 

27 

46 
119 
195 
168 

38 

29 

513 

286 

4 

83 

10 
12 
28 
31 



21 
67 
63 
43 
79 

122 
152 
161 
8 
189 



294 

5,033 
369 

112 
181 
257 

202 

68 

3.743 

86 

52 

47 
69 
69 
66 
519 

119 
262 
552 
132 
116 

773 

1,537 

142 

317 

1.748 

77 
483 
697 

52 
258 

142 
175 
291 
396 
98 

103 
1.071 
414 
197 
154 

64 

72 

99 

166 

293 

87 
175 
196 

71 
206 

353 
543 
286 
81 
309 



1,155 

8,158 
1,873 

556 
I.OII 

590 

652 
614 
8,138 
457 
137 

271 
323 
273 
183 
1,035 

1,570 
1.106 
1,143 
1,262 
194 

2,005 
4,435 
571 
1,480 
6,376 

425 

2,024 

2,867 

664 

633 

1.172 
863 

1,017 
503 

1,044 

364 

2,798 

1.193 

767 

590 

269 

458 

707 

1,353 

1.177 

209 
575 

1,159 
486 

1,843 

1,377 

1,985 

600 

404 

1,168 



240 

2,239 

269 

99 

94 

137 

72 
18 
1,494 
34 
12 

47 
51 
27 
26 
562 

267 

241 

737 

50 

34 

286 
420 
32 
138 
576 

12 
442 
511 

27 
215 

58 

65 

100 

241 

34 

23 

210 

102 

28 

42 

9 

46 

39 

107 

388 

9 

26 
160 

77 
45 

60 
538 
200 

38 
360 



91 



Table 6. — Number of Ofieoses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued 



City by Slale 



Population 



Crime 
Index 
total 



Modified' 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



MICHIGAN-CootiniKd 

Roseville 

Royal Oak 

Saginaw 

Saginaw Township 

St. Clair Shores 

Sault Ste. Marie 

Shelby Township 

Southfield 

Southgate 

Sterling Heights 

Sturgis 

Summit Township 

Sumpter Township 

Taylor 

Thomas Township 

Traverse City 

Trenton 

Troy 

Van Buren Township 

Walker 

Warren 

Waterford Township 

Wayne 

West Bloomfleld Township 

Westland 

White Lake Township 

Woodhaven 

Wyandotte 

Wyoming 

Ypsilanti 

MINNESOTA 

Albert Lea 

Andover 

Anoka 

Apple Valley 

Austin 

Bemidji 

Blaine 

Bloomington 

Brainerd 

Brooklyn Center 

Brooklyn Park 

Bumsville 

Champlin 

Chanhassen 

Chaska 

Cloquet 

Columbia Heights 

Coon Rapids 

Cottage Grove 

Crystal 

Duluth 

Eagan 

Eden Prairie 

Edina 

Elk River 



51,412 
65,410 
69,512 
37,684 
68,107 

14,689 
48,655 
75,728 
30,771 
117,810 

10,130 
21,130 
10,891 
70,811 
10,971 

15,155 
20,586 
72,884 
21,010 
17,279 

144,864 
66,692 
19,899 
54,516 
84,724 

22,608 
11,631 
30,938 
63,891 
24,846 



18,310 
15,216 
17,192 
34.598 

21,907 
11,245 
38,975 
86,335 
12,353 

28,887 
56,381 
51,288 
16,849 
11,732 

11,339 
10,885 
18,910 
52,978 
22,935 

23,788 
85,493 
47,409 
39,311 
46,070 

11.143 



5,320 
3,600 
8,815 
1,819 
3,409 

752 
1,846 
5,642 
1,971 
5,878 

527 
352 
397 
5,525 
295 

768 
590 

4,091 
779 

1,152 

8,831 
4,567 
1,451 
1,369 
5,034 

863 

868 

1,038 

3,608 

2,020 



616 
518 
983 
980 

1.032 
1,331 
2,552 
3,909 
1,004 

2,533 

3,580 

2,779 

561 

202 

396 

588 

1,212 

2,458 

751 

883 
4,717 
1,516 
1,460 
1,897 

469 



5,335 
3,615 
8,985 
1,828 
3,423 

753 
1,858 
5,657 
1,984 
5,935 

530 
353 
407 
5,547 
295 

776 
591 

4,106 
785 

1,154 

8,854 
4,586 
1,462 
1,379 
5,090 

871 

871 

1,040 

3,634 

2,031 



618 
521 
987 
988 

1,032 
1,349 
2.555 
3.919 
1.010 

2,533 

3,601 

2,783 

562 

203 

398 

594 

1,227 

2,471 

754 

888 
4,741 
1,525 
1,467 
1,904 

472 



28 

12 

187 

8 

7 



21 



85 
60 
426 
19 
46 

2 

12 

226 

28 

49 

3 
2 
2 
118 
1 

3 
9 

39 
8 

10 

255 

66 

42 

8 

81 

5 

10 

12 

57 

119 



169 
174 
1,599 
49 
109 

19 

132 

308 

92 

328 

36 

21 

47 

201 

9 

26 
26 
139 
26 
20 

608 
240 
104 
49 
304 

56 

17 

10 

139 

248 



19 
12 
30 
10 

35 
59 
34 
89 
20 

35 

306 

20 

11 

1 

12 
25 
41 
43 

37 

26 
211 
27 
31 
15 

17 



535 
469 
2,335 
204 
593 

110 
228 
857 
201 
731 

87 

76 

106 

691 

58 

108 
96 
648 
121 
134 

1,333 
598 
272 
241 
846 

139 
98 
148 
720 
371 



61 
150 
174 
180 

111 
105 
322 
696 
187 

384 
704 
379 
107 

24 

58 

73 

285 

349 

126 

170 
689 
221 
282 
446 



85 



3,647 
2,548 
3,847 
1,472 
2,267 

568 
1,329 
2,954 
1,369 
4,203 

346 
235 
204 
3,538 
218 

599 
409 
2,849 
472 
952 

4,723 
3,208 
839 
1,003 
3,140 

622 

655 

761 

2,375 

1,089 



501 
324 
719 

754 

827 
1,052 
2,064 
2,772 

719 

1,851 

2.210 

2.167 

422 

166 

304 
401 
790 
1,939 
554 

602 
3,368 
1,180 
1,075 
1,339 

340 



854 
334 
388 
67 
385 

44 
132 

1,259 
268 

527 

20 

17 

38 

953 

9 

21 

48 

403 

143 

27 

1,798 

381 

177 

64 

619 

38 

86 

107 

270 

166 



28 
28 
48 
29 

44 

98 

110 

301 

59 

215 

268 

184 

16 

10 

19 

78 
81 
104 
24 

60 
352 
70 
58 
86 

24 



92 



Table 6.— Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued 



City by Stale 



Population 



Cnme 
Index 
total 



Modified- 
Clime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaugbter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



MINNESOTA— Contiiiiied 

Fairmont 

Faribault 

Fergus Falls 

Fridley 

Golden Valley 

Hastings 

Hibbing 

Hopkins 

Hutchinson 

Inver Grove Heights 

Lakeville 

Mankato 

Maple Grove 

Maplewood 

Marshall 

Minnetonka 

Moorhead 

Mounds View 

New Brighton 

New Hope 

New Ulm 

Northfield 

North Mankato 

North St. Paul 

Oakdale 

Owatonna 

Plymouth 

Prior Lake 

Ramsey 

Red Wing 

Richfield 

Robbinsdale 

Rochester 

Roseville 

St. Cloud 

St. Louis Park 

St. Paul 

Shakopee 

Shoreview 

South Lake Minnetonka 

South St. Paul 

Stillwater 

Vadnais Heights 

West St. Paul 

White Bear Lake 

Willmar 

Winona 

Woodbury 

MISSISSIPPI 

Brandon 

Oarksdale 

Columbus 

Corinth 

Greenville 

Greenwood 

GuUport 



11,265 
17,085 
12,362 
28,335 

20,971 
15.445 
18.046 
16,534 
11.523 

22,477 
24,854 
31,477 
38,736 
30,954 

12.023 
48.370 
32.295 
12.541 
22.207 

21.853 
13.132 
14.684 
10.164 
12,376 

18.374 
19.386 
50.889 
11.482 
12.408 

15.134 
35,710 
14,396 
70,745 
33.485 

48.812 
43.787 
272.235 
11.739 
24.587 

10.399 
20.197 
13.882 
11.041 
19,248 

24.704 
17.531 
25,399 
20,075 



11.077 
19.717 
23,799 
11,820 

45,226 
18,906 
40,775 



534 

931 

517 

1,835 

902 
520 
302 
805 
531 

917 
821 

1.868 
982 

2.016 

295 
1.833 
1.839 

588 

733 

792 
427 
430 
255 

474 

765 
673 
1.692 
405 
465 

673 
1.722 

809 
3.341 
2.166 

3,118 

2,212 

22,144 

733 

425 

304 
967 
617 
262 
1,168 

1,086 
975 

1.389 
644 



190 

872 

1.576 

416 

4.157 
1.621 
3,990 



535 

938 

517 

1,841 

908 
525 
302 
807 
535 

936 
836 

1,871 
985 

2.023 

297 

1.841 

1.843 

591 

736 

795 
427 
433 
255 
475 

767 
678 
' 1.715 
405 
465 

674 
1.738 

814 
3.346 
2.179 

3.130 

2.218 

22.434 

733 

425 

306 
974 
619 
262 
1.169 

1.090 
982 

1,394 
650 



190 

875 

1,583 

416 

4,182 
1,626 
4,013 



3 
1 
12 
1 
8 

3 
13 

6 
13 

5 

21 

5 

269 

4 



3 
I 
3 

I 
34 
19 

17 
19 

12 
19 

780 
2 
5 

2 
9 
1 
1 
16 

4 
3 
1 
6 



2 
36 

23 
5 

59 

22 

129 



12 
25 
II 
30 

8 
19 

2 
27 

8 

38 
21 
34 
20 
46 

8 
36 

25 
22 
10 

30 
9 

II 
2 

14 

35 
13 
35 
10 
10 

II 
86 
18 
68 
21 

81 

32 

1,696 

20 

2 

6 
29 
14 

I 
17 

21 
29 
13 
16 



49 

25 

209 



46 
170 
91 

258 

260 
105 

66 
161 

60 

167 
162 
288 
179 
276 

40 
356 
236 

81 
143 

155 

81 

34 

9 

69 

167 
95 

333 
47 
95 

108 
341 
153 
486 

327 

480 

432 

5,075 

99 

73 

44 

181 

99 

35 

155 

263 
107 
108 
180 



54 
384 
319 
115 

1,690 

501 

1,033 



430 
665 
381 

1,412 

556 
357 
209 
521 
441 

615 
603 

1,473 
738 

1.523 

237 

1.342 

1.496 

438 

522 

545 
318 
338 
233 
350 

501 
532 
1.205 
307 
314 

496 
1,114 

528 
2.614 
1.659 

2.358 

1.606 

11.990 

554 

333 

235 
673 
466 
215 
888 

728 

778 

1,208 

411 



97 

375 

1,109 

243 

2,188 

994 

2,287 



43 
62 
29 
113 

68 
35 
23 
75 
19 

82 
32 
58 
41 
143 

8 
84 
74 
39 
42 

46 
18 
42 
10 
36 

58 
31 
103 
39 
35 

54 
132 

85 
143 
134 

165 

117 

2,316 

54 

12 

17 
72 
36 
9 
90 

69 
47 
55 
28 



14 
38 
67 
51 

132 

61 

286 



93 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued 



City by Suie 



Population 



Crime 
Index 
total 



Modified* 
Crime 
Index 
total 



Murder 
and non- 
negligent 

roan- 
slaughter 



Forcible 
tape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



MISSISSIPPI— ContiiiiMd 

Hattiesburg 

Jackson 

Laurel 

Long Beach 

McComb 

Meridian 

Moss Point 

Natchez 

Ocean Springs 

Pascagoula 

Picayune 

Ridgeland 

Starkville 

Tupelo 

Vicksburg 

MISSOURI 

Arnold 

Ballwin 

Bellefontaine Neighbors 

Belton 

Berkeley 

Blue Springs 

Bridgeton 

Cape Girardeau 

Carthage 

Chesterfield 

Clayton 

Columbia 

Crestwood 

Creve Coeur 

Excelsior Springs 

Fannington 

Ferguson 

Florissant 

Fulton 

Gladstone 

Grandview 

Hannibal 

Hazelwood 

Independence 

Ironton 

JefTerson City 

Jennings 

Joplin 

Kansas City 

KirksviUe 

Kjrkwood 

Lees Summit 

Marshall 

Maryland Heights 

MaryviUe 

Mexico 

Moberly 

O'Fallon 

Overland 



41,882 
196,637 

18,827 
15,804 
11,591 
41,036 
17,837 

19,460 
14,658 
25,899 
10,633 
11,714 

18,458 
30,685 
20,908 



18,828 
21,816 
10,922 
18,150 

12,450 
40,153 
17,779 
34,438 
10,747 

37,991 
13,874 
69,101 
11,234 
12,304 

10,354 
11,598 
22,286 
51,206 
10,033 

26,243 
24,967 
18,004 
15,324 
112,301 

10,726 
35,481 
15,905 
40,961 
434,711 

17,152 
27,291 
46,418 
12,711 
25,407 

10,663 
11,290 
12,839 
18,698 
17,987 



3,412 
21,559 

2,107 

680 

1,028 

1,951 

644 

1.848 
742 

2,708 
610 
819 

1,417 
1,376 
1,548 



862 
498 
422 
673 

821 
1,776 
1,247 
2,185 

545 

1,043 
697 

4,469 
465 
491 

500 
592 
731 
1,518 
431 

980 

1,776 

855 

724 

7,194 

41 

1,710 

1,270 

3,895 

56,308 

734 
799 

1,335 
332 

1,229 

331 
230 
582 
801 
1,081 



3,420 
21,695 

2,112 

681 

1,031 

1,956 

660 

1,854 
744 

2,721 
610 
819 

1,418 
1,376 
1,548 



867 
499 
422 
676 

832 
1,781 
1,248 
2,188 

546 

1,045 
702 

4,491 
465 
491 

503 
593 
736 
1,525 
431 

998 

1,789 

863 

729 

7,256 

41 

1,722 

1,286 

3,926 

56,817 

735 
801 

1,358 
334 

1,239 

331 
232 
589 
803 
1,083 



1 

1 

1 

121 



34 
184 

9 

5 

3 

11 

15 

22 
3 

23 
4 
1 

11 

16 



23 

4 

3 

517 

5 

2 
9 
4 
4 



61 
780 

35 
12 
23 
56 
IS 

47 

5 

89 

7 



5 
7 
5 
3 

41 

21 

36 

19 

6 

10 

14 

75 

15 

4 

2 

1 

33 

29 

7 

16 

52 

4 

20 

104 



18 

34 

26 

4,492 

1 
6 

10 
1 

15 



271 
691 

25 
14 
66 
37 
52 

101 

27 

166 

45 

10 

221 

10 

151 



20 

11 

1 

52 

66 

58 
53 
63 
13 

49 

27 

248 

3 

10 

20 
69 
31 

72 
67 

66 
58 
56 
13 
388 

3 

74 

29 

73 

5,957 

8 
37 
48 

2 
52 

4 
11 
29 
30 
47 



848 
7,469 

437 
228 
361 
525 
240 

394 
114 
628 
113 
88 

241 
238 
462 



117 
86 
37 
83 

208 
291 
138 
286 
106 

186 
149 
741 

72 
71 

57 

24 

210 

294 

78 

203 
399 
173 
127 
1,407 

8 

256 

214 

748 

11,640 

128 
162 
284 
68 
212 

39 
49 
99 
94 
163 



2,086 
10,840 

1,515 
396 
536 

1,137 
290 

1,219 
555 

1,677 
415 
677 

880 

1,002 

826 



673 
378 
322 
479 

379 
1,299 

914 
1,744 

400 

762 
450 
3,242 
354 
356 

389 
481 
373 
1,031 
260 

594 

1,066 

581 

498 

4,450 

29 

1,238 

806 

2,854 

23.229 

552 
551 
884 
246 
874 

275 
157 
425 
638 
751 



109 
1,551 

79 
25 
38 

177 
32 

62 
35 
122 
25 
34 

45 
114 
60 



43 
15 
56 
51 

110 

103 

100 

62 

17 

32 
56 
142 
21 
47 

28 
16 
79 
86 
13 

94 

187 

36 

62 

817 

1 

100 

182 

190 

10,352 

40 
40 
100 
II 
70 

11 
11 
15 
29 
68 



94 



Table 6.— Nnmber of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990— Continued 



City by SUIe 



Population 



Crime 
Index 
total 



Modified' 
Crime 
Index 
total 



Murder 
and non- 
aegllgent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



MISSOURI— Con tiniied 

Poplar Bluff 

Raytown 

Richmond Heights 

Rolla 

St. Ann 

St. Charles 

St. Joseph 

St. Louis 

St. Peters 

Sedalia 

Sikeston 

Springfield 

University City 

Warrensburg 

Washington 

Webster Grove 

MONTANA 

Billings 

Great Falls 

Havre 

Helena 

Kalispell 

NEBRASKA 

Beatrice 

Bellevue 

Columbus 

Fremont 

Grand Island 

Hastings 

Kearney 

Lincoln 

Norfolk 

North Platte 

Omaha 

Papillion 

Scottsbluff 

NEVADA 

Boulder City 

Henderson 

Las Vegas Metropolitan Police 

Department Jurisdiction 

Reno 

Sparks 

NEW HAMPSHIRE 

Bedford 

Berlin 

Claremont 

Concord 

Derry 

Dover 

Durham 

Exeter 



16,996 
30,601 
10,448 
14,090 
14,489 

54,555 
71,852 
396,685 
45,779 
19,800 

17,641 
140,494 
40,087 
15,244 
10,704 

22,987 



81,151 
55,097 
10,201 
24,569 

11,917 



12,354 
30.982 
19,480 
23,680 

39,386 
22,837 
24,396 
191,972 
21,476 

22,605 

335,795 

10,372 

13,711 



12,567 
64,942 

616,243 
133,850 

53,367 



12,563 

11,824 
1 3,902 
36,006 

29,603 
25,042 
11,818 
12,481 



1,667 

1.001 

840 

656 

1,081 

1,956 
4,367 
58,199 
1.940 
1.084 

1.172 
12.549 

2,725 
531 
465 

536 



5,861 

5,301 

650 

1.956 

1.466 



695 

1.413 

599 

989 

2.628 

884 

1.166 

13.457 

1.065 

1.494 

23.673 

205 

1.084 



243 
2.610 

43.944 
11.558 

3,853 



487 

104 

721 

2,152 

1,024 

1,049 

280 

333 



1,671 

1.005 

845 

658 

1.081 

1.961 
4,397 
58,886 
1.945 
1.090 

1,174 
12,640 

2,743 
539 
466 

542 



5,881 

5,337 

652 

1,965 

1.472 



697 

1,413 

600 

996 

2,628 

892 

1,173 

13,499 

1.068 

1,502 

23.862 

206 

1,085 



244 
2,627 

44,383 
11,642 



488 

104 

721 

2,160 

1,052 

1,055 

281 

338 



4 
4 

177 



7 
2 
4 
3 
1 

19 
16 
331 
6 
4 

6 
58 

15 
2 



11 
3 
9 

99 
3 

7 

217 

2 

6 



52 



371 
143 



68 



13 
37 
18 
9 
13 

41 

26 

4,708 

17 

9 

30 

139 

110 

4 



2 

10 

3 

3 

7 
3 
4 
111 
3 

6 
604 



2,229 
370 



73 



95 
39 
29 
II 
19 

101 

514 

8,466 

44 

61 

39 

367 

147 

11 

70 

37 



10 

102 

7 

108 

24 



17 
5 

23 

26 
13 
24 

728 
75 

46 

2,307 

7 

53 



9 
68 

1.831 

537 

169 



277 
168 
90 
118 

77 

349 
908 
11.531 
250 
189 

218 

2.354 

637 

110 

55 

98 



1.089 
673 

32 
217 

122 



100 

199 

74 

123 

540 

98 

159 

2,148 

116 

223 

4,190 

21 

112 



76 
696 

10,176 
1,812 

623 



2 


141 


316 


2 


21 


76 


9 


96 


565 


20 


336 


1,631 


10 


270 


622 


12 


77 


906 


6 


33 


229 


5 


57 


242 



1,223 
660 
650 
497 
837 

1,339 

2,696 

24,564 

1.566 

777 

829 

9.193 

1,445 

375 

322 

352 



4,304 

4,234 

581 

1,546 

1.240 



567 

1.133 

499 

812 

1.949 
737 
928 

9.943 
830 

1.179 

14.997 

169 

876 



137 
1.478 



24,009 
7.961 



2.718 



49 
93 
49 
18 
132 

103 

203 

!.422 

57 
44 

48 

431 

369 

28 

16 

38 



369 

201 

26 

69 

69 



202 



95 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued 



City by Suie 



Population 



Cnme 
Index 
total 



Modified* 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



NEW HAMPSHIRE— Continiied 

Goffstown 

Hampton 

Hudson 

Keene 

Laconia 

Lebanon 

Londonderry 

Manchester 

Merrimack 

Milford 

Nashua 

Portsmouth 

Rochester 

Salem 

Somersworth 

NEW JERSEY 

Aberdeen Township 

Asbury Park 

Atlantic City 

Bamegat Township 

Bayonne 

Belleville 

Bellmawr 

Bergenfleld 

Berkeley Heights 

Berkeley Township 

Bernards Township 

Bloomfleld 

Branchburg Township 

Brick Township 

Bridgeton 

Bridgewater Township 

Brigantine 

Burlington Township 

Camden 

Carteret 

Cedar Grove Township 

Cherry Hill 

Cinnaminson Township 

Clark 

Cliffside Park 

Clifton 

Qinton Township 

CoUingswood 

Cranford Township 

Delran Township 

Denville Township 

Deptford Township 

Dover 

Dover Township 

EXumont 

East Brunswick Township 

East Orange 

East Windsor Township 

Eatontown 



14,621 

12,278 
19,530 
22,430 
15,743 
12,183 

19,781 
99,567 
22,156 
11,795 
79,662 

25,925 
26,630 
25,746 
11,249 



17,038 
16,799 
37,986 
12,235 

61,444 
34,213 
12,603 
24,458 
11,980 

37,319 
17,199 
45.061 
10,888 
66,473 

18,942 
32,509 
11,354 
12,454 
87,492 

19,025 
12,053 
69,348 
14,583 
14,629 

20,393 
71,742 
10,816 
15,289 
22.633 

13,178 
13,812 
24,137 
15,115 
76,371 

17.187 
43,548 
73,552 
22,353 
13,800 



397 

881 
549 
1,226 
811 
718 

615 

7,427 
376 
497 

3,355 

1,480 

1,453 

1,455 

605 



616 

1,794 

14,496 

323 

2,489 

1,961 

359 

670 

148 

686 
336 

2,663 
231 

2,032 

1,761 

910 

593 

695 

13,988 

616 
566 
3,673 
446 
379 

553 
3,737 
173 
709 
550 

430 
332 

1,569 
730 

3,714 

401 

1,862 

8,486 

544 

969 



400 

885 
553 
1,239 
834 
719 

633 

7,497 

385 

501 

3,376 

1,487 

1,458 

1.457 

608 



624 

1.801 

14,610 

330 

2,504 

1,974 

361 

671 

148 

713 
336 

2,673 
233 

2,045 

1,780 

912 

595 

701 

14,405 

626 

579 

3,685 

449 

379 

554 
3,739 
176 
714 
553 

431 
332 

1,596 
730 

3,743 

402 

1,870 

8,576 

544 

971 



44 



16 

2 

5 

16 

138 

15 

7 
6 
5 



3 
3 
6 
6 
2 

3 

116 

4 

1 

17 

7 
13 
21 

3 



9 

93 

662 

3 

98 

64 

3 

10 



8 

3 

101 

3 

12 

80 

II 

5 

10 
1,684 

29 

7 
73 
14 

2 

9 
110 



20 

7 
41 

1 

14 

1,206 

5 
12 



30 
131 
654 

24 

222 

111 

21 

16 



21 
12 

75 

9 

72 

240 

10 

43 

42 

1,196 

28 
48 
64 
15 

7 

15 
80 
4 
31 
12 

14 
29 
52 
31 
86 

4 

43 

687 

12 
22 



87 

229 
153 
146 
219 
86 

102 

1,887 

65 

71 

483' 

259 

181 

205 

94 



131 

338 

1,401 

61 

487 
270 

12 
108 

29 

188 
67 

420 
52 

443 

389 
176 
115 
108 
3,642 

150 
119 
606 
113 

27 

138 
569 
34 
140 
127 

63 

II 

327 

III 

788 

85 

256 

2,053 

70 

136 



273 

565 
340 
940 
480 
585 

452 

4,762 

278 

349 

2,476 

1,078 

1,168 

921 

486 



377 

1,007 

11,174 

224 

1,302 
969 
277 
484 
109 

441 
225 

1,293 
159 

1,385 

967 
620 
388 
466 
4,293 

301 
350 
2,291 
242 
288 

304 
2,240 
127 
397 
347 

281 
269 
912 
489 
2,560 

280 

1,373 

2,040 

412 

714 



10 

76 
42 
41 
64 
30 

47 

581 

22 

19 

326 

87 

57 

275 

16 



52 

184 

522 

9 

375 

541 

44 

50 

10 

24 
27 

770 
8 

114 

65 
91 
37 
53 
2,991 

91 

34 
630 

57 
55 

85 

726 

8 

120 

56 

63 

21 
256 

88 
218 

29 

169 

2,398 

40 

85 



96 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued 



City by Sute 



Population 



Crime 
Index 
total 



Modified' 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



NEW JERSEY— Condnned 

Edison Township 

Egg Harbor Towmship 

Elizabeth 

Elmwood Park 

Englewood 

Evesham Township 

Ewing Township 

Fair Lawn 

Fairview 

Florence Township 

Fort Lee 

Franklin Township (Gloucester County) 
Franklin Township (Somerset County) 

Freehold 

Freehold Township 

Galloway Township 

Garfield 

Glassboro 

Glen Rock 

Gloucester City 

Gloucester Township 

Hackensack 

Haddonfleld 

Haddon Township 

Hamilton Township (Atlantic County) 

Hamilton Township (Mercer Coimty) . 

Hammonton 

Hanover Township 

Harrison 

Hasbrouck Heights 

Hawthorne 

Hazlet Township 

Highland Park 

Hillsborough Township 

Hillside Township 

Hoboken 

Holmdel Township 

Hopatcong 

Hopewell Township 

Howell Township 

Irvington 

Jackson Township 

JefTerson Township 

Jersey City 

Keansburg 

Kearney 

Lacey Township 

Lakewood 

Lawrence Tovraship 

Lincoln Park 

Linden 

Lindenwold 

Little Egg Harbor Township 

Little Falls Township 

Livingston 

Lodi 

Long Branch 



88,680 
24,544 
110,002 
17,623 
24,850 

35,309 
34,185 
30,548 
10,733 
10.266 

31,997 
14,482 
42,780 
10,742 
24,710 

23,330 
26,727 
15,614 
10,883 
12,649 

53,797 
37,049 
11.628 
14,837 
16,012 

86.553 
12,208 
11,538 
13,425 
11,488 

17,084 
21,976 
13,279 
28,808 
21,044 

33,397 
11,532 
15,586 
11,590 
38,987 

61.018 

33,233 

17.825 

228,537 

11.069 

34,874 
22,141 
45.048 
25,787 
10.978 

36,701 
18,734 
13,333 
11,294 
26.609 

22,355 
28.658 1 



3,644 
1,700 
11,111 
1,143 
1,583 

694 
1,962 
785 
386 
289 

1,103 
368 

1,785 
811 
859 

850 
680 
912 
192 
359 

2,238 

2,493 

221 

576 

1,164 

2,768 
495 
270 
670 
467 

412 
402 
456 
452 
1,671 

2,481 
242 
308 
157 
945 

7,701 

1,456 

376 

20,970 

367 

2,693 

540 

2,382 

2,148 

213 

2,314 
871 
538 
725 

1,218 

788 
2,478 



3,670 
1,717 
11,153 
1,145 
1,589 

707 
1.984 
786 
387 
305 

1,103 
379 

1,802 
815 
865 

855 
688 
918 
194 
360 

2,256 

2,497 

221 

578 

1,181 

2.780 
500 
271 
672 
468 

412 
405 
460 
459 
1,675 

2,495 
242 
308 
158 
954 

7,737 

1,465 

380 

21,034 

368 

2,699 

552 

2,403 

2,149 

213 

2,326 
885 
541 
731 

1,222 

792 
2,497 



114 

7 

12 



50 
26 
1,164 
19 
68 

4 

27 

21 

5 

4 

34 
6 

30 
34 



9 

10 

21 

1 

5 

41 

73 
6 
6 

13 

78 
15 

3 
36 

6 

8 

14 

5 

1 

119 



764 

5 

3 

2,400 

3 

80 



87 

29 

1 

123 
30 



92 



89 
78 
484 
10 
81 

7 
37 
10 

7 
11 

31 
28 
60 
58 
21 

29 
17 
54 
1 
19 

115 

57 

4 

11 

89 

51 
30 

4 
23 

1 

12 
34 
16 

25 
130 

174 
11 
15 
4 

27 

732 

42 

10 

1,748 

64 

182 
16 

110 

30 

6 

108 
70 
36 
20 
15 

10 
205 



674 
357 
1,893 
112 
393 

134 

327 

108 

88 

56 

177 
111 
403 
159 
138 

214 

106 

181 

37 

59 

371 

238 

47 

93 

232 

491 
94 
33 
49 

126 

79 
91 
71 
128 
308 

476 
44 
67 
43 

188 

1,689 
209 
124 

4,632 
64 

402 

71 

489 

254 

29 

343 
175 
109 
169 
85 

105 

671 



2,308 

1,106 

4,292 

810 

846 

480 
1,207 
558 
221 
198 

690 
174 
1.095 
519 
621 

545 
406 
596 
139 
228 

1.449 

1,721 

152 

415 

734 

1,628 
322 
199 
285 
259 

235 
232 
333 
274 
659 

1,267 

178 

206 

99 

646 

1,937 
1,146 

210 
7,018 

210 

1,536 

427 

1,431 

1,431 

165 

1,109 
422 
379 
391 
920 

493 
1,291 



516 
117 
3,214 
188 
192 

66 
358 
87 
65 
18 

169 
42 

195 
33 
68 

48 
140 
48 
14 
46 

242 

397 

12 

51 



515 
32 
29 

275 
74 

76 
30 
31 
23 
450 

488 
7 
16 
11 

72 

2,517 
54 
29 

5.030 
18 

480 

26 

232 

402 

12 

621 

167 

13 

137 
196 

171 
209 



97 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued 



City by Stale 



Population 



Crime 
Index 
total 



Modified* 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



NEW JERSEY— Continued 

Lower Township 

Lyndburst Township 

Madison 

Mahwah Township 

Manalapan Township 

Manchester Township 

Mantua Township 

ManviUe 

Maple Shade Township 

Maplewood Township 

Marlboro 

Medford Township 

Metuchen 

Middlesex 

Middle Township 

Middletown Township 

Millbum Township 

MiUville 

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

Montclair 

Montville Township 

Moorestown Township 

Morristown 

Morris Township 

Mount Holly 

Mount Laurel Township 

Mount Olive Township 

Neptune Township 

Newark 

New Brunswick 

New Milford 

New Providence 

North ArUngton 

North Bergen Township 

North Brunswick Township 

North Plainfield 

Nutley 

Oakland 

Ocean City 

Ocean Township 

Old Bridge 

Orange 

Palisades Park 

Paramus 

Parsippany-Troy Hills Township 

Passaic 

Paterson 

Pemberton Township 

Pennsauken 

Pennsville Township 

Pequannock Township 

Perth Amboy 

Phillipsburg 

Piscataway Township 

Plainfield 

Ptainsboro Township 



20,820 
18,262 
15,850 

17,905 
26,716 
35,976 
10,074 
10,567 

19,211 

21,652 
27,974 
20,526 
12,804 

13,055 
14,771 
68,183 
18,630 
25,992 

26,703 
22,255 
37,729 
15,600 
16,116 

16,189 
19,952 
10,639 
30,270 
21,282 

28,148 
275,221 
41,711 
15,990 
11,439 

13,790 
48,414 
31,287 
18,820 
27,099 

11,997 
15,512 
25,058 
56,475 
29,925 

14,536 
25,067 
48,478 
58,041 
140,891 

31,342 
34,738 
13,794 
12,844 
41,967 

15,757 
47,089 
46,567 
14,213 



695 
921 
303 

579 
458 
472 
331 
174 

782 
1,124 
574 
486 
499 

405 
697 

1,187 
808 

1,498 

840 
405 
2,272 
396 
633 

1,541 
422 
808 
809 
484 

2,222 

44,739 

4,099 

357 

130 

480 
2,980 
1,410 
1,079 

922 

182 
1,687 
1,276 
1,635 
3,422 

362 

3,653 

1,693 

4,709 

12,649 

939 

2,060 

343 

321 

2,707 

382 
1,760 
3,947 

549 



703 
925 
304 

582 
461 
498 
337 
174 

787 
1,124 
589 
507 
503 

410 
703 

1,190 
808 

1,519 

854 
408 
2,280 
401 
635 

1,545 
424 
820 
810 
489 

2,233 
44,971 

4,103 
358 
132 

481 
2,983 
1,417 
1,084 

940 

182 
1,689 
1,280 
1,650 
3,434 

362 

3,683 

1,711 

4,717 

12,698 

952 

2,082 

349 

324 

2,739 

383 
1,766 
3,958 

552 



I 

112 

4 



I 
I 
5 

7 
2 

2 
7 
3 
I 
14 

3 
2 
10 
I 
3 

9 

4 

14 

3 

5 

12 
326 

25 



19 

62 

2 

50 

16 

5 

63 

6,021 

229 



II 

II 

9 

376 

5 

26 

19 

619 

1,295 

21 

110 

1 

2 

124 

I 

37 
506 

5 



31 
14 
6 

13 

23 

28 

10 

8 

43 
50 
32 
15 
6 

22 
20 
46 
3 
124 

50 

37 

125 

4 

41 

117 
II 

119 
24 
34 

154 

4,225 

154 

21 

1 

14 
115 
53 
51 
39 

5 

34 

29 

104 

239 

3 

53 

43 

254 

1,257 

127 

62 

5 

4 

146 

17 
149 
187 

13 



135 
107 

73 



79 

100 

79 

18 

163 
235 
124 
102 
117 

S8 

157 

194 

89 

321 

217 
98 

481 
81 
95 

239 
70 
135 
180 
127 

526 

6,741 

826 

62 

33 

55 
694 
281 
162 
179 

34 
363 
267 
326 
814 

127 
224 
364 
758 
2,654 

261 

S69 

31 

49 

622 

84 
350 
973 
113 



488 
563 
198 

438 

322 
318 
226 
143 

357 
557 
373 
340 
325 

289 

462 
856 
600 
882 

483 
239 
1,199 
270 
423 

1,021 
297 
438 
503 
278 

1,338 

12,537 

2,261 

2S« 

80 

306 
1,307 
883 
699 
514 

138 
1,250 

889 
1,039 

932 

163 
2,613 
1,066 
1,854 
5,318 

430 
672 
289 
237 
1,454 

233 
1,034 
1,519 

359 



25 

222 

26 

46 

24 

17 

13 

3 

207 

227 

36 

19 

42 

31 

46 
83 
110 
90 

70 
27 
383 
39 
S2 

93 
38 
47 
83 
35 

128 

14,777 

600 

18 

II 

95 
793 
159 
124 
169 

5 

24 

74 

152 

1,025 

63 

733 

190 

1,203 

2,037 

85 

630 

17 

28 

336 

46 
179 
736 

55 



98 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued 



Cily by Stale 



Population 



Crime 
Index 
total 



Modified' 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
thcfl 



Motor 
vehicle 
theft 



NEW JERSEY— Continued 

PleasantviUe 

Point Pleasant 

Pompton Lakes 

Princeton 

Princeton Township 

Rahway 

Ramsey 

Randolph Township 

Raritan Township 

Readington Township 

Red Bank 

Ridgefield Park 

Ridgewood 

Ringwood 

River Edge 

Rockaway Township 

Roselle 

Roselle Park 

Roxbury Township 

Rutherford 

Saddle Brook Township 

SayrevUle 

Scotch Plains Township 

Secaucus 

Somers Point 

Somerville 

South Brunswick Township 

South Orange 

South Plainfield 

South River 

Sparta Township 

Springfield 

Stafford Township 

Summit 

Teaneck Township 

Tenafly 

Tinton Falls 

Totowa 

Trenton 

Union City 

Union Township 

Ventnor City 

Vernon Township 

Verona 

Vineland 

Voorhees Township 

Wallington 

Wall Township 

Warren Township 

Washington Township (Gloucester 

County) 

Washington Township (Morris County) 

Waterford Township 

Wayne Township 

Weehawken Township 

West Caldwell 

West Deptford Township 



16,027 

18,177 
10,539 
12,016 
13,198 
25,325 

13,228 
19,974 
15,616 
13,400 
10,636 

12,454 
24,152 
12,623 
10,603 
19,572 

20,314 
12,805 
20,429 
17,790 
13,296 

34,986 
21,160 
14,061 
11,216 
11,632 

25,792 
16,390 
20,489 
13,692 
15,157 

13,420 
13,325 
19,757 
37,825 
13,326 

12,361 
10,177 
88.675 
58,012 
50,024 

11,005 
21,211 
13,597 
54,780 
24,559 

10,828 
20,244 
10,830 

41,960 
15,592 

10,940 
47,025 
12,385 
10,422 
19,380 



1.376 

768 
287 
775 
263 
1,196 

507 
508 
376 
189 
628 

235 
294 
164 
232 
1.129 

919 
399 

537 
522 
712 

1,094 
538 

1,568 
449 

574 

715 

1.132 

1,035 

442 

251 

411 
442 
634 
1,669 
235 

460 

959 

9,172 

4,043 

3,157 

715 

574 

293 

4,382 

1,165 

398 
425 
216 

1,242 
222 

307 

3.551 

1.045 

252 

590 



1.384 

770 
289 
776 
263 
1,196 

508 
512 
379 
196 
629 

235 
294 
164 
234 
1,133 

921 
402 
539 

524 
712 

1,109 
539 

1,571 
454 
574 

723 

1,134 

1.043 

444 

251 

413 
446 
636 
1.683 
241 

464 

964 

9.195 

4.046 

3.158 

716 

576 

297 

4.412 

1,173 

400 

428 
218 

1,245 
224 

311 

3.558 

1,054 

255 

594 



117 
9 
11 



4 

II 

694 

264 

131 

9 

1 

6 

210 

28 

4 
I 
2 

16 



167 

12 

5 

5 

12 

37 

19 

12 

6 

6 

28 

10 
20 
14 

5 
7 

31 
9 
13 



66 

9 

9 

21 

20 

17 
24 
19 
42 
10 

9 

20 

8 

134 

3 

16 

11 

929 

150 

45 

36 
15 
II 

222 
34 

6 
10 
6 

41 

7 

11 
55 
53 
4 
16 



360 

151 
34 

170 
68 

242 

58 
69 
85 
51 
93 

23 
71 
34 
66 
110 

151 
69 
109 
100 
110 

207 
105 
101 
128 
93 

161 

221 

115 

71 

62 

37 
105 
174 
326 

99 

99 

72 

1.874 

1.010 

423 

178 

82 

54 

888 

146 

91 
80 

47 

350 
43 

86 
260 
239 

24 

74 



692 

588 
226 
565 
169 
682 

385 
395 
272 
117 
464 

167 
184 
114 
144 
912 

447 
219 
370 
320 
504 

621 

341 

1.071 

277 
395 

461 
496 
760 
299 
172 

231 
291 
369 
1.000 
123 

297 

669 

3.061 

1.594 

1,576 

469 
459 
180 
2,770 
752 

229 
308 
148 

725 
160 

179 
2,604 
554 
182 
439 



79 

14 

16 

27 

4 

175 

42 
23 
9 
15 
32 

33 
18 
2 
13 
85 

224 
95 
37 
85 
83 

177 
63 

371 
20 
55 

67 
335 
101 

15 
6 

125 
23 
72 

160 
10 

37 

196 

2,476 

1.012 

971 

18 

17 

41 

255 

202 

68 
20 
13 

105 
12 

26 

603 

173 

36 

53 



99 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued 



City by Sute 



Population 



Crime 
Index 
total 



Modified* 
Clime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



vated 

assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



NEW JERSEY— ContiiiiNd 

Westfield 

West Milford Township 

West New York 

West Oiange 

West Paterson 

West Windsor Township 

Westwood 

Willingboro Township 

Winslow Township 

Woodbridge Township 

Woodbiiry 

WyckofT 

NEW MEXICO 

Alamogordo 

Albuquerque 

Artesia 

Carlsbad 

Qovis 

Deming 

Farmington 

Gallup 

Hobbs 

Las Crutxs 

Los Alamos 

Portales 

Rio Rancho 

Silver City 

NEW YORK 

Albany 

Amherst Town 

Amsterdam 

Auburn 

Batavia 

Beacon 

Bedford Town 

Bethlehem Town 

Binghamton 

Blooming Grove Town 

Brighton Town 

Buffalo 

Camillus Town And Village 

Canandaigua 

Carmel Town 

Cheektowaga Town 

Cicero Town 

Clarkstown Town 

Clay Town 

Cohoes 

Colonic Town 

Coming 

Cortland 

Cortlandt Town 

Depew Village 

Dewitt Town 

Dunkirk 



28,870 
25,430 
38,125 
39,103 
10,982 

16,021 
10,446 
36,291 
30,087 
93,086 

10,904 
15,372 



27,596 

384,736 

10,610 

24,952 

30,954 
10,970 
33,997 
19,154 
29,115 

62,126 
18,115 
10,690 
32,505 
10,683 



101,082 
106,128 
20,714 
31,258 

16,310 
13,243 
16,906 

27,552 
53,008 

11,767 
34,455 
328.123 
23,625 
10,725 

28,816 
93,516 
23,624 
76,545 
54,322 

16,825 
72,161 
11,938 
19,801 
28,369 

17,673 
21,805 
13,989 



797 

631 

2,805 

1,734 

673 

519 

269 

1,393 

1,087 

5,115 

592 

234 



1,393 

38,721 

440 

2,000 

1,785 
806 
2,786 
2,666 
1,990 

5,982 
378 
413 

1,083 

827 



6,635 

3,697 

435 

1,330 

689 
513 
383 
569 
2,893 

210 

1,123 

29,181 

329 

447 

536 

4,177 
234 

2,452 
708 

592 
3,216 

800 
1,108 

385 

677 

1,145 

783 



801 

642 

2,823 

1,740 

674 

522 

270 

1,398 

1,103 

5,124 

595 
236 



1,406 

38,903 

440 

2,004 

1,787 
810 
2,793 
2,668 
1,993 

6,005 
383 
415 

1,086 
831 



6,695 

3,714 

435 



693 
514 
388 

573 



218 

29,864 
329 
449 

545 

234 



593 
3,225 

800 
1,111 

388 

681 

1,151 

796 



2 

222 

3 

4 

II 
I 
27 
15 
20 

46 
6 
4 
2 

10 



355 
1 



5 

2 

108 

65 

17 

1 

2 

39 

23 

67 



16 
1,030 

2 
17 

16 
2 
38 
26 
19 

88 

2 



386 

57 

3 

14 

9 

22 
I 
2 

46 

I 

17 

2,172 

2 

1 

1 
73 

2 
28 

3 

4 
19 
1 
8 
4 



9 

II 

144 

41 

14 

12 
11 
88 
89 
152 

26 



80 

3,835 

14 

88 

155 
32 
148 
169 
196 

262 
39 
47 

150 

78 



575 

190 

9 

21 

6 

102 

14 

50 

25 



2,711 
3 
9 

23 

220 

1 

115 

27 

131 

34 

50 

9 

15 



148 
202 
576 
330 
136 

84 

52 

325 

284 

609 

104 
54 



290 

9,497 

65 

497 

377 
197 
501 
365 
460 

1,393 

46 

125 

291 

150 



1,884 
510 
164 
273 

107 
164 
66 
141 
349 

67 
191 
8,163 
45 
44 

114 
633 
31 
351 
102 

132 
455 

82 
215 

40 

88 
164 
137 



582 
372 
1,309 
910 
361 

343 
192 
830 
569 
3,170 

409 
166 



958 

22,130 

350 

1,344 

1,171 
537 
1,928 
1,975 
1,244 

3,827 
276 
230 
598 

557 



3,264 

2.641 

244 

1,002 

558 
191 
267 
366 
2,336 

126 
850 
12,203 
275 
384 

358 
2,632 

197 
1,784 

565 

290 
2,582 
643 
840 
310 

497 
938 
618 



52 

40 

663 

381 

141 

79 

12 

102 

115 

1,098 

46 
13 



46 

1,973 

6 

49 

53 

36 

141 

115 

48 

358 

8 

7 

35 

28 



435 

290 

12 

6 

8 

30 
34 

7 
111 

10 

57 

3,540 

4 

8 

38 

607 

3 

166 

11 

30 
112 
24 
26 
15 

36 

26 
8 



100 



Table 6.— Number of Offenses Known to the PoUce, Cities and Towns 10,000 and over in Population, 1990— Continued 



City by State 



Population 



Crime 
Index 
total 



Modified* 
Cnme 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 

vehicle 
theft 



NEW YORK— ContiiiiKd 



East Aurora - Aurora Town 
Eastchester Town 



East Fishldll Town .. 
East Hampton Town 

Elmira 

Endlcott Village 

Evans Town 



FishkiU Town 

Floral Park Village 
Fredonia Village ... 
Freeport Village ... 
Fulton 



Garden City Village 

Gates Town 

Geddes Town 

Geneva 

Glen Cove 



Glens Falls 

Glenville Town ... 

GloversviUe 

Greece Town 

Greenburgh Town 

Guilderland Town 
Hamburg Town 
Hamburg Village . 
Harrison Town ... 
Haverstraw Town 



Hempstead Village 
Hyde Park Town . 
Irondequoit Town 

Ithaca 

Jamestown 



Johnson City Village 

Kenmore Village 

Kent Town 

Kingston 

Lackawanna 



Lancaster Town 
Lancaster Village 

Lockport 

Long Beach 

Lynbrook Village 



Mamaroneck Town 
Mamaroneck Village 

Manlius Town 

Massena Village 

Middletovm 



Mount Pleasant Town 

Mount Vernon 

Newburgh 

Newburgh Town 

New Castle Town 



New Hartford Town And Village 

New Rochelle 

New Windsor Town 

New York 

Niagara Falls 



13,433 
18,537 

22,101 
13,990 
33,724 
13,531 
15,247 

15,698 
15,947 
10,436 
39,894 
12,929 

21,686 
28,583 
10,960 
14,143 
24,149 

15,023 
21,412 
16,656 
90,106 
40,579 

27,245 
40,393 
10,442 
23,308 
23,274 

49,453 
21.230 
52,377 
29,541 
34,681 

16,890 
17,180 
13,183 
23,095 
20,585 



344 
462 

329 
668 
2,265 
719 
471 

238 
269 
311 
1,711 
776 

623 
1,302 
391 
346 
513 

967 

441 

884 

2,756 

1,883 

497 
2,002 
286 
613 
658 

2,705 
711 
2,834 
1,952 
1,918 

1,440 

457 

290 

1,571 

1,047 



13,949 


385 


11,940 


248 


24,426 


1,589 


33,510 


1,128 


19,208 


425 


11,407 


345 


17,325 


636 


30,656 


750 


11,719 


218 


24,160 


1,110 


25,054 


510 


67,153 


5,057 


26,454 


2,494 


24,058 


1,362 


16,648 


217 


19,718 


646 


67,265 


2,734 


22,937 


780 


7,322,564 


710,222 


61,840 


4,099 



347 
462 

329 
668 

2,274 
721 
477 

238 
269 

1,721 



1,306 
392 



967 

887 

1,892 

499 

661 

2,721 
712 

1,956 



306 
1,571 
1,054 

389 

1,598 

431 

347 
636 

218 
1,117 

5,106 
2,513 

217 

646 

790 

716,403 

4,157 



2,245 
2 



15 

1 

3,126 

49 



2 

4 

3 

112 



12 

25 

5 

3 

8 

7 

4 

6 

28 

58 

6 

15 

3 

2 
2 

224 

2 

55 

17 

19 

7 
9 



36 
38 

3 

I 

23 

44 

13 

5 

15 

1 

I 

19 

5 

429 

268 

28 



1 
189 

7 

100,280 

122 



6 
58 
36 
47 

24 

8 

23 

189 

15 

9 
9 
6 
5 
57 

249 
34 
13 
13 
60 

33 

188 

25 

7 

12 

299 

152 

12 

53 

33 

70 

30 

31 

207 

245 

28 
18 
241 
70 
10 

5 

13 
12 

25 
48 

13 
533 
402 

12 
12 

25 

107 

74 

68,891 

276 



59 
38 

100 
228 
404 
81 
116 

24 

69 

34 

288 

155 

89 
212 
41 
37 
81 

122 
131 
143 
286 
270 

88 

320 

44 

79 

121 

516 
59 
310 
365 
382 

185 

73 

87 

229 

200 

78 

68 

326 

183 

62 

68 
123 
126 

73 
195 

108 

1,026 

789 

169 

43 

78 

576 

143 

119,937 

1,009 



245 
346 

198 
402 
1,647 
571 
286 

177 
150 
244 
863 
577 

420 
974 
333 
294 
283 

570 
256 
691 

2,225 
1,274 

348 
1,305 
204 
447 
460 

1,122 
479 
2,267 
1,460 
1,423 

997 
326 
154 
1,026 
452 

247 
149 
921 
623 
244 

208 
393 
600 
101 
833 

335 
1,684 

886 
1,066 

148 

524 

1,348 

511 

268,620 

2,248 



25 
63 

19 

32 
102 
27 
20 

11 

38 

6 

245 

27 

93 

81 

6 



82 

9 

12 

31 

188 

214 

20 
167 
10 
78 
59 

523 
18 

181 
53 
54 

168 
18 
17 
63 

109 

28 
II 
64 
199 
96 

57 
92 

9 
18 

9 

49 

1,343 

118 

82 

14 

18 
498 

44 

147,123 

393 



101 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued 



City by Sute 



Population 



Crime 
Index 
total 



Modified* 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



NEW YORK— ContiniKd 

Niskayuna Town 

North Castle Town 

North Greenbusb Town 

North Tonawanda 

Ogden Town 

Ogdensburg 

Olean 

Oneida 

Oneonta 

Orangetown Town 

Orchard Park Town 

Oswego 

Plattsburgh 

Port Chester Village 

Port Washington Village 

Potsdam Village 

Poughkeepsie 

Pougbkeepsie Town 

Riverbead Town 

Rochester 

Rockville Centre Village 

Rome 

Rotterdam Town 

Rye 

Saratoga Springs 

Schenectady 

Schodack Town 

Shawangunk Town 

Southampton Town 

Spring Valley Village 

Stony Point Town 

SufTem ViUage 

Syracuse 

Tonawanda 

Tonawanda Town 

Troy 

Utica 

Vestal Town 

WaUkill Town 

Warwick Town 

Watertown 

Webster Town And Village 

West Seneca Town 

White Plains 

Yonkers 

Yorktown Town 

NORTH CAROUNA 

Asheville 

Boone 

Burlington 

Carrboro 

Gary 

Charlotte 

Concord 

Durham 

Eden 



19,048 
10,061 
10,891 
34,989 
16,912 

13,521 
16,946 
10,850 
13,954 
34,835 

24,632 
19,195 
21,255 
24,728 
14,776 

10,251 
28,844 
39,282 
23,01 1 
231,636 

24,727 
44,350 
28,395 
14,936 
25,001 

65,566 
10,348 
10,081 

37,124 
21,802 

12.814 
11,055 
163,860 
17,284 
65,284 

54,269 
68,637 
26,733 
23,016 
15,504 

29,429 
31,639 
47,830 
48,718 
188,082 

33,467 



61,607 
12,915 
39,498 
11,553 

43,858 
395,934 

27,347 
136,611 

15,238 



754 
235 
203 
1,072 
336 

510 
916 
635 
399 
691 

888 
739 
719 
1,272 
524 

499 

2,366 

2,175 

1,054 

25,570 

908 
1,144 
1,007 

376 
1,880 

3,370 

245 

54 

1,841 

1,500 

164 

379 

11,314 

486 

1,697 

2,677 

3,361 

313 

602 

195 

1,634 

704 

1,524 

3,577 

10,644 

814 



6,216 
612 

2,817 
842 

1,443 
49,862 

1,487 
12.657 

1,036 



236 

203 

1,086 



639 
404 
691 

900 

725 



501 

2,379 

2,175 

1,056 

25.916 



1,153 

1,017 

376 

1,886 

3,404 

247 
54 

1,510 

164 

381 

11,416 



3,372 

611 
200 

1,648 

705 

1,552 

3,578 

10,733 

818 



6,232 
615 

2,822 
844 

1,450 
50,270 

1,495 
12,690 

1,043 



40 



14 



17 

6 

3 

176 

4 
10 

2 



1 

118 

3 

4 

25 

15 

1 



34 



384 

2 

79 

2 



1 
9 
4 

2 
5 
2 
4 
6 

3 

2 

4 

45 

10 

3 

214 

32 

34 

1,254 

26 
6 
9 
3 

15 

129 

4 

I 

18 

78 

I 

6 

494 

3 

20 

65 
136 



2 
2 

6 

2 

14 

109 

829 



148 

3 

50 

10 

17 

3,208 

29 

431 

6 



51 
51 
14 

18 
142 

79 

165 

1,395 

19 

35 

9 

1 

258 

76 

II 

9 

203 

67 

2 
14 

774 
42 

131 

56 

50 

3 

14 

5 

108 

2 

81 

III 

373 



215 
29 

362 
68 

52 

5,434 

130 

480 

108 



83 
34 
56 
186 
64 

104 

107 

76 

75 

114 

157 
125 
162 
172 
73 

42 

425 

173 

318 

5,805 

129 

289 

150 

60 

296 

1,163 
46 

22 
413 
213 

36 

78 

2,999 

66 

335 

840 

871 

64 

94 

53 

311 

91 

216 

324 

1,980 

100 



1,573 
139 
418 

234 

309 

10,891 

343 

3,881 

192 



596 
166 
111 
802 
248 

357 
766 
534 
289 
469 

641 
587 
467 
835 
393 

430 

1,365 

1,786 

512 

14,774 

531 

747 

790 

271 

1,258 

1,700 

168 

17 

1.145 

1.029 

114 
241 

6,326 
353 

1,155 

1,551 

2,020 

233 

466 

126 

1,177 
573 
1,012 
2,764 
4,895 

653 



3,856 
417 

1,836 
481 

1,009 
27,153 

930 
7,062 

679 



21 
II 

8 
56 

6 

21 
28 
18 

7 
37 

49 
25 
30 
160 
34 

6 

198 

99 

22 

2.126 

199 

57 
47 
41 
46 

257 

13 

5 

53 

99 

II 

39 

589 

19 

52 

140 

263 

11 

26 

8 

22 

33 

195 

263 

2.506 

37 



383 
24 

133, 
40 

48 

2.699 

50 

701 

48 



102 



Table 6.— Number of Offenses Known to tbe Police, Cities and Towns 10,000 and over in Popnlation, 1990 — Continned 



aty by Sute 



Population 



Crime 
Index 
total 



Modified* 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 

assault 



Buiglary 



Lanxny- 
theft 



Motor 
vehicle 
theft 



NORTH CAROLINA— Condnoed 

Elizabeth City 

FayetteviUe 

Garner 

Gastonia 

Goldsboro 

Greensboro 

Greenville 

Havelock 

Henderson 

Hickory 

High Point 

Jacksonville 

Kannapolis 

Kemersville 

Kinston 

Lenoir 

Lexington 

Lumberton 

Matthews 

Monroe 

Morganton 

New Bern 

Raleigh 

Reidsville 

Roanoke Rapids 

Rocky Mount 

Salisbury 

Sanford 

Shelby 

Tarboro 

ThomasviUe 

Wilmington 

WUson 

Winston-Salem 

NORTH DAKOTA 

Bismarck 

Dickinson 

Fargo 

Grand Forks 

Jamestown 

Mandan 

Minot 

West Fargo 

WiUiston 

OHIO 

Akron 

Alliance 

Amherst 

Ashland 

Ashtabula 

Athens 

Barberton 

Bay Village 

Beavercreek 

Bedford 



14,292 
75,695 
14,967 
54,732 
40,709 

183.521 
44,972 
20.268 
15,655 
28,301 

69,496 
30,013 
29.696 
10.836 
25.295 

14,192 
16,581 
18,601 
13,651 
16,127 

15,085 
17,363 
207,951 
12,183 
15,722 

48,997 
23,087 
14,475 
14,669 
11,037 

15,915 

55,530 

36,930 

143,485 



49,256 
16,097 
74,111 
49,425 

15,57! 
15,177 
34,544 
12,287 
13,131 



223,019 
23,376 
10,332 
20,079 

21,633 
21,265 
27,623 
17.000 
33.626 

14,8221 



1,093 

11,055 

768 

7,583 

4,283 

14,332 

3.776 

521 

1.709 

3.362 

6.793 
2,912 
1,055 
853 
1,600 

1,401 
1,555 
2,149 
358 
1,674 

968 
2,197 
13,844 

766 
1,185 

4.817 
2,167 
2,025 
1,362 
776 

1,508 
6,593 
4,168 
16,360 



2,085 

463 

3.606 

2.640 

539 
651 
1,586 
437 
512 



17,496 

2,107 

436 

592 

1,857 
688 

1,575 
143 

1,026 

590 



1,101 

11.118 

770 

7,661 

4,299 

14,428 

3,784 

525 

1,718 

3.379 

6,830 
2,927 
1,061 
864 
1,620 

1,411 
1,572 
2,167 
358 
1,676 

971 

2,214 

13,919 

774 

1,186 

4,839 
2,178 
2.035 
1.373 
780 

1,511 
6,654 
4,199 
16,537 



2,090 

464 

3,618 

2,640 

540 
651 
1,586 
439 
512 



17,737 

2,143 

436 

594 

1,877 
692 

1,582 
145 

1,056 

590 



16 
18 

114 

22 

2 

I 

9 

36 
19 
4 

2 
22 

7 
15 
6 
1 
9 

4 

II 

96 

1 

4 

35 
10 

7 
10 

4 

4 

57 

20 

169 



193 
9 

2 



32 
418 

15 
270 
141 

488 

126 

3 

36 

117 

140 
97 
31 
16 

110 

23 
25 
56 
5 
33 

14 

82 

388 

28 

9 

140 
46 
26 
29 
14 

23 
192 
151 
796 



773 

75 

II 

2 

18 

3 
38 

2 
7 



178 

1,213 

34 

613 

419 

998 
293 
31 
175 
160 

746 
155 
141 
42 
196 

98 
122 
116 

14 
165 

33 

205 

671 

64 

28 

299 
97 

188 
86 
88 

78 

392 

380 

1.235 



1,600 

234 

4 



26 
40 
168 
4 
26 

33 



214 
2,626 

114 
1,946 

952 

2,767 
884 
140 
417 
817 

1,823 
682 
261 
206 
574 

275 
461 
469 
93 
392 

172 
593 
2,856 
137 
240 

1,211 
540 
512 
360 
144 

365 
1,741 
1,060 
4,606 



298 

51 

478 

302 

57 
24 
192 
73 
29 



3,513 

341 

27 

52 

530 
66 

246 
36 

207 



59 



617 
6,133 

571 
4,390 
2,543 

9,161 

2,298 

329 

992 

2,066 

3,734 

1,838 

555 

551 

594 

936 
859 

1,390 
234 

1,015 

693 

1.234 

9.021 

504 

851 

2.926 

1,394 

1,223 

819 

503 

964 
3,857 
2,374 
8,655 



1,658 

391 

2,837 

2,188 

439 
606 
1,313 
331 
448 



9,730 

1,315 

374 

514 

1.190 
545 

1.023 

91 

740 

349 



47 
552 

33 
343 
196 

784 

148 

16 

86 

186 

308 

116 

61 

36 

98 

61 
72 
110 
11 
54 

52 
66 
788 
27 
52 

191 

77 
65 
52 
23 

71 
349 
173 
875 



99 

10 

182 

110 

30 
18 
68 
17 
30 



1,669 

130 

18 

24 

72 
26 
93 



141 



103 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued 



City by Sute 



Population 



Crime 
Index 

total 



Modified' 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 

vehicle 
theft 



OHIO— Contiiiued 

Bedford Heights 

Berea 

Bexley 

Blue Ash 

Boardman Township 

Bowling Green 

Brecksville 

Broadview Heights 

Brook Park 

Bucyrus 

Cambridge 

CenterviUe 

Chillicothe 

Cincinnati 

Cleveland 

Cleveland Heights 

Coliunbus 

Conneaut 

Copley 

Cuyahoga Falls 

Dayton 

Deflance 

Delaware 

Delhi Township 

Dover 

Dublin 

East Qeveland 

Eastlake 

Elyria 

Englewood 

Euclid 

Fairbom 

Fairfield 

Forest Park 

Franklin 

Fremont 

Gahanna 

Garfield Heights 

Girard 

Goshen Township 

Greenville 

Grove City 

Hamilton 

HiUiard 

Huber Heights 

Jackson Township 

Kent 

Kettering 

Lakewood 

Lancaster 

Lebanon 

Liberty Township 

Lima 

Lorain 

Lyndhurst 

Madison Township (Lake County) 



12,131 
19,051 
13,088 
11,860 

41,796 
28,176 
11,818 
12,219 
22,865 

13,496 
11,748 
21,082 
21,923 
364,040 

505,616 
54,052 

632,910 
13,241 
11,130 

48,950 
182,044 
16,768 
20,030 
30,250 

11,329 
16,366 
33,096 
21.161 
56,746 

11,432 
54,875 
31,300 
39,729 
18,609 

11,026 
17,648 
27,791 
31,739 
11,304 

12,697 
12,863 
19,661 
61,368 
11,796 

38,696 
32,071 
28,835 
60,569 
59,718 

34,507 
10,453 
13,149 
45,459 
71.245 

15,982 
17,954 



668 
659 
646 
461 

2,029 

1,485 

136 

199 

951 

751 

991 

658 

1,912 

27,507 

46,085 

1,716 

62,703 

313 

573 

1,907 

20,895 

815 

961 

575 

409 
688 

2,482 
770 

3,189 

510 
2,969 
1,166 
2,282 
1,501 

584 
846 
965 
1,211 
358 

310 
785 
874 
4,713 
563 

1,541 
1,837 
1,112 
2,894 
1,481 

2,450 

552 

508 

4,378 

2,820 

220 
612 



673 
663 
647 
463 

2,035 

1,494 

137 

201 

955 

763 

995 

663 

1,920 

28,023 

46,984 
1,716 

63,642 
316 
581 

1,929 

816 
967 

575 

410 
688 

2,525 
772 

3,206 

510 
2,976 
1,171 
2,286 
1,502 

584 
851 
971 
1,215 
359 

314 
789 

874 
4,780 

577 

1,551 
1,840 
1,126 
2,917 
1,486 



552 

513 

4,433 

2,832 

226 
616 



3 
49 

168 

2 

89 



47 



13 



12 
388 

846 
2 

647 
1 

3 

13 
321 



19 

7 

12 

2 

20 

1,613 

4,917 

45 

3,541 



26 

1,475 

1 

15 

6 

1 
4 

275 
9 

112 

12 
74 
15 
24 
30 

3 
31 
10 
69 

1 



6 

15 

172 

6 

16 
35 
18 
33 
19 

28 
7 

24 
172 
100 

6 
4 



5 
9 

91 
26 
13 
39 
2,426 

3,259 

1 

2,745 

3 

68 

103 

1,246 

10 

16 

1 

7 
20 

232 
14 

131 

6 
48 
28 
93 

9 

10 
38 
13 
61 

5 

6 

7 

25 

620 

12 

19 

45 
42 
14 
21 

52 
5 

21 
643 
115 

2 
21 



130 
127 
116 
83 

254 
166 
27 
23 
132 

141 
98 
121 

342 
5,896 

10,198 
142 

14,828 
57 
99 

205 

4,678 

108 

154 

72 

40 

98 

623 

119 

787 

36 
396 
201 
404 

89 

130 
159 
206 
229 
57 

72 

102 

134 

1,236 

114 

174 
256 
257 
558 
129 

444 

72 

87 

1,128 

964 

48 
151 



286 
423 
434 
351 

1,497 

1,209 

91 

141 

509 

487 

833 

491 

1,412 

15,458 

15,289 
1,218 

32,387 
243 
373 

1,443 

10,155 

680 

727 

475 

345 
541 
699 
562 
1.874 

442 
2,021 

845 
1,626 
1,331 

416 
560 
691 
602 
247 

210 
638 
622 
2,293 
408 

1,250 
1,414 
724 
2,126 
1,095 

1,782 

452 

297 

2,195 

1,405 

146 
410 



175 
73 
49 
15 

218 
46 
16 
28 

276 

17 
18 
31 
84 
1,677 

11,408 

306 

8,466 

9 

24 

117 

2,973 

16 

43 

18 

10 
23 

602 
64 

245 

11 
415 

70 
124 

35 

23 
52 
40 
245 
48 

19 
30 
70 
344 
19 

75 

79 

57 

147 

207 

140 

15 

76 

167 

183 

18 
25 



104 



Table 6.— Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued 



City by Slate 



Population 



Cnme 
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 

Madison Township (Monlgomery 

County) 

MansHeld 

Maple Heights 

Marietta 

Marion 

Mason 

Massillon 

Maumee 

Mayfield Heights 

Mentor 

Miamisburg 

Miami Township 

Middleburg Heights 

Middletown 

New Philadelphia 

Niles 

North Canton 

North Olmsted 

North Ridgeville 

North Royalton 

Norton 

Norwalk 

Norwood 

Oregon 

Parma 

Perkins Township 

Perrysburg 

Perry Township (Stark County) .... 

Portsmouth 

Randolph Township 

Reading 

Reynoldsburg 

Salem 

Sandusky 

Seven Hills 

Shaker Heights 

Sharonville 

Sidney 

Solon 

South Euclid 

Springdale 

Springfield 

Springfleld Township 

Steubenville' 

Stow 

Sylvania 

Tallmadge 

Tiffin 

Toledo 

Troy 

Union Township (Butler County) .. 
Union Township (Clermont County) 
University Heights 

Urbana 

Vandalia 

Van Wert 



20,605 
50,627 
27,089 

15,026 
34,075 
11,452 
31.007 
15,561 

19,847 
47,358 
17,834 
22,539 
14,702 

46,022 
15,698 
21,128 
14,748 
34,204 

21.564 
23,197 
11,477 
14,731 
23,674 

18,334 
87,876 
10,793 
12,551 
30,307 

22,676 
13,525 
12,038 
25,748 
12,233 

29,764 
12,339 
30,831 
13,153 
18,710 

18,548 
23,866 
10,621 
70,487 
38,509 

22,125 
27,702 
17,301 
14,870 
18,604 

332,943 
19,478 
39,703 
33,368 
14,790 

11,353 
13,882 
10,891 



1,289 

4,916 

986 

584 
2,190 

449 
1,446 

862 

503 

1,460 

1,194 

755 

631 

2,700 
648 

1,084 
314 

1,250 

364 
479 
360 
474 
1,053 

1,129 

2,614 

539 

252 

1,117 

1,762 
291 
405 

1,207 
221 

2,413 

127 

1,134 

1,048 

974 

373 

502 

664 

6,963 

1,549 



773 
509 
591 
302 

31,994 

803 

1,425 

2,022 

296 

616 

528 
761 



1,296 

4,939 

988 

585 
2,190 

449 
1,453 

862 

506 

1,469 

1,209 

773 

636 

2,726 
651 

1,087 
314 

1,258 

367 
480 
362 
477 
1,062 

1,139 

2,649 

539 

252 

1,127 

1,786 
291 
405 

1,220 
221 

2,432 

128 

1,136 

1,050 

977 

376 
507 

6,981 
1,550 



775 
512 
597 
303 

32,540 

806 

1,437 

2,029 

297 

617 
529 
771 



37 



422 
3 
3 

15 
6 

3 
2 
7 



29 
126 

37 

12 
30 
10 
34 
10 

9 
16 

13 
5 
5 

51 
11 
10 

2 
12 



52 

1 

73 

25 

9 

1 

11 

17 

312 

33 

26 
4 
8 
9 

1 

1,748 
8 
7 
18 



38 

824 

11 

15 
20 
21 

73 
32 

11 
31 
56 
12 
9 

68 

46 

42 

1 

13 



139 

95 
13 
4 
34 
15 

47 

4 

35 

10 

25 

11 

6 

1 

1,008 

45 



23 

5 

26 

2 

1,334 
14 
50 
14 
14 

24 

5 

33 



212 

1,073 

181 

83 
476 

59 
183 
119 

81 
254 
169 
129 

93 

557 
67 

131 
47 

151 

79 
82 
82 
47 
217 

204 

501 

40 

41 

177 

511 
53 
58 

157 
8 

488 
28 
340 
216 
163 

56 

69 

46 

1,072 

260 

386 
94 
70 

164 

82 

6,268 

151 

319 

221 

36 

81 
84 
83 



844 

2,621 

583 

441 
1,560 

343 
1,056 

633 

348 
1,023 
843 
574 
385 

1,865 
495 
768 
241 
886 

236 
338 
218 
405 

737 

757 

1,536 

465 

196 

724 

1,046 
202 
310 
919 
188 

1,702 

81 

516 

739 

742 

271 

325 

569 

4,194 

1,146 

770 
623 
395 
351 
206 

17,571 

612 

1,001 

1,649 

198 

479 
401 
602 



148 
203 
167 

19 
81 
16 
80 
65 

49 
129 
101 

29 
139 

138 
27 

129 
22 

181 

39 
46 
31 
10 
67 

81 
420 
20 
14 
56 

62 
19 
26 
56 
10 

99 

12 

163 

53 

23 

34 
89 
29 
302 
52 

92 
25 
31 
35 
11 

4,614 

15 

45 

105 

33 

21 
30 
30 



See Footnote at end of table. 



105 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued 



City by Sute 



Population 



Crime 
Index 
total 



Modified* 
Crime 
Index 
total 



Murder 
and noo- 
negligenl 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



OHIO — ContinDed 

Vermilion 

Wadswoith 

Warren 

Warrensville Heights 

Washington Court House 

West CarroUton 

WesterviUe 

Westlake 

WhitehaU 

WicklifTe 

WiUoughby 

Wilmington 

Wooster 

Worthington 

Xenia 

Youngstown 

ZanesviUe 

OKLAHOMA 

Ada 

Alius 

Ardmore 

Bartlesville 

Bethany 

Broken Arrow 

Ctaickasha 

Claremore 

Del City 

Duncan 

Durant 

Edmond 

Elk City 

El Reno 

Enid 

Guthrie 

Lawton 

McAlesler 

Miami 

Midwest City 

Moore 

Muskogee 

Mustang 

Norman 

Oklahoma City 

Okmulgee 

Owasso 

Ponca City 

Sand Springs 

Sapulpa 

Shawnee 

Stillwater 

Tahlequah 

Tulsa 

Village 

Weatherford 

Woodward 

Yukon 



11,127 
15,718 

50,793 
15,745 
12,983 
14,403 
30,269 

27,018 
20,572 
14,558 
20,510 
11,199 

22,191 
14,869 
24,664 
95,732 
26,778 



1 5,820 
21,910 
23,079 
34,256 

20,075 
58,043 
14,988 
13,280 
23,928 

21,732 
12,823 
52,315 
10,428 
15,414 

45,309 
10,518 
80,561 
16,370 
13,142 

52,267 
40,318 
37,708 
10,434 
80,071 

444,719 
13,441 
11,151 
26,359 
15,346 

18,074 
26,017 
36,676 
10,398 
367,302 

10,353 
10,124 
12,340 
20,935 



461 
465 

4,147 
866 
428 
896 

1,157 

465 

1,757 

346 

833 

575 

1,018 
573 
1,788 
7,685 
1,628 



1,001 
1,386 
1,905 
1,435 

1,237 
2,434 
1,316 
707 
1,516 

1,245 
966 

2,401 
655 

762 

3,264 
696 

4,617 
800 
893 

3,697 
2,268 
3,285 
402 
5,028 

47,190 
1,021 

401 
1,316 

952 

909 

2,127 

1,534 

551 

35.020 

760 
444 
603 
892 



465 
467 

4,147 
868 
430 
906 

1,173 

465 
1,761 
347 
841 
583 

1,018 
576 
1,792 
8,022 
1,690 



1,004 
1,388 
1,910 
1,454 

1,243 
2,440 
1,330 
708 
1,526 

1,249 
974 

2,428 
658 

779 

3,277 
702 

4,668 
801 
900 

3,707 
2,285 
3,308 
404 
5,037 

47,661 
1,035 

402 
1,322 

963 

915 

2,140 

1,548 

554 

35,265 

761 
446 
620 
898 



24 
7 

69 
9 
5 

32 
15 

42 

2 

33 

422 
II 

2 



5 

12 
10 

6 
382 

1 

2 
4 
7 



2 
4 

166 

44 

9 

6 

28 

3 

108 

6 



12 

7 

4 

580 

26 



12 
17 

7 

16 
15 
17 
5 
26 

2 
6 

13 
5 

14 

33 

9 

91 

13 

1 

64 

22 

67 

4 

41 

1,398 

27 

3 

10 

10 

16 

26 

8 

1 

1,539 

16 
1 

2 
5 



6 
II 

594 

69 

5 

32 

16 

4 
5 

15 
11 

57 

25 

2 

75 

644 

96 



79 
60 
100 

73 

32 
75 
95 
51 
39 

62 
88 
91 
14 
41 

237 
58 

492 
67 
23 

184 
95 

229 
14 

73 

2,925 

69 

8 

39 

24 

47 
70 
69 
10 
2,920 

6 
II 

32 
23 



47 
64 

1,322 

164 

79 

156 

171 

48 
307 

65 
136 
'66 

167 
103 
146 
2,442 
451 



211 
408 
378 
270 

214 
393 
332 
167 
384 

365 
223 
460 
164 
204 

763 
218 
1,252 
202 
196 

783 

605 

946 

82 

1,114 

11,440 

238 

64 

337 

213 

266 
642 
344 
171 
8,200 

161 
111 
155 
172 



383 
355 

1,634 
393 
313 
594 
885 

325 
1,245 
203 
595 
409 

736 

417 

1,501 

2,876 

929 



662 
859 

1,278 
1,012 

862 
1,711 
799 
446 
931 

767 
565 
1,644 
440 
440 

2,116 
370 

2,483 
462 
611 

2,274 
1,355 
1,701 
275 
3,424 

25,657 
590 
278 
849 
563 

474 
1,207 
1,056 

329 
14,323 

508 
305 
390 
620 



23 
26 

353 

190 

21 

98 

50 

84 
79 
55 
76 
34 

60 

42 

52 

1,060 

113 



36 

44 

120 

56 

104 

228 

67 

37 

126 

44 
78 
182 
27 
53 

88 

33 

226 

47 

56 

358 
174 
297 
25 
341 

5,280 

85 

46 

73 

139 

100 

169 

46 

34 

7,599 

67 
13 
20 
64 



106 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued 



City by Sute 



Population 



Crime 
Index 
total 



Modined* 
Crime 
Index 
total 



Murder 
and non- 
negtigent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



OREGON 

Albany 

Ashland 

Astoria 

Beaverton 

Bend 

Coos Bay 

Corvallis 

Eugene 

Forest Grove 

Gladstone 

Grants Pass 

Gresham 

Hermiston 

Hillsboro 

Keizer 

KJamatli Falls 

La Grande 

Lake Oswego 

Lebanon 

McMinnville 

Medford 

Milwaukie 

Newberg 

Oregon City 

Pendleton 

Portland 

Roseburg 

Salem 

Springfield 

Tigard 

Tualatin 

West Linn 

Woodbum 

PENNSYLVAMA 

Allentown 

Altoona 

Aston Township 

Beaver Falls 

Bethlehem 

Bethlehem Township 

Center Township 

Chambersburg 

Coatesville 

Coliunbia 

Cumru Township 

Darby 

Daiby Township 

Derry Township 

Doylestown Township 

East Hempfield Township 

Emmaus 

Erie 

Ejieter Township (Berks County) 

Fairview Township 

Falls Township (Bucks Coimty) 
Greensburg 



29,462 
16,234 
10,069 
53,310 

20,469 
1 5,076 
44,757 
112,669 
13,559 

10,152 
17.488 
68.235 
10.040 
37,520 

21.884 
17,737 
11,766 
30,576 
10,950 

17,894 
46,951 
18.692 
13.086 
14.698 

15.126 
437.319 

17.032 
107.786 

44.683 

29.344 
15.013 
16.367 
13.404 



105.090 
51.881 
15.080 
10.687 

71.428 
16.425 
10.742 
16.647 
11.038 

10.701 
16.060 
11.140 
10.955 
18.408 

14,510 
18.597 
11.157 
108.718 
17.260 

13.258 
34,997 
16.318 



2.939 
820 

555 
2.438 

1.803 
1.248 
2.385 
9.026 
519 

467 
1,798 
3,565 

667 
1.434 

813 
1.514 
649 
793 
828 

1.044 

4.397 

926 

526 

993 

658 

48.545 

1.220 

8.653 

2.844 

2,099 

722 
310 
788 



6.574 

1.418 

228 

410 

2.444 
399 
244 

1.492 
720 

407 
498 
385 
229 
607 

300 
664 
277 
5.989 
529 

321 

1.586 

617 



2.963 
830 
561 

2,454 

1.811 
1.258 
2.410 
9.106 

527 

470 
1.803 
3.577 

670 
1.442 

829 
1.518 
651 
808 
843 

1.048 

4.437 

929 

535 

999 

662 

49.101 

1,224 

8,708 

2,866 

2.110 

723 
313 
798 



6.595 

1.433 

230 

419 

2.453 
400 
244 

1.498 
721 

408 
499 
386 
229 
609 

301 
665 
278 
6.052 
530 

324 

1.594 

627 



21 
5 
5 

14 

6 
14 
18 

76 
4 

1 
5 

21 
8 

13 

II 
10 
6 

5 
6 

II 

36 

6 

3 
5 

5 

424 

4 

50 

25 

6 
4 
I 
1 



25 

8 

12 

41 

23 
18 
20 
197 
12 



51 
19 

7 
20 

7 

2,541 

29 

190 

50 



197 

39 

2 

30 

45 
5 



4 

3 

3 

315 

1 

3 

25 

8 



137 
14 
23 
58 

66 

37 

26 

189 

16 

9 

6 

117 



26 
67 
115 
14 
33 

16 

151 

6 

28 

94 

15 

4,838 

43 

56 

105 

20 
9 
12 

32 



172 
89 
32 
83 

91 

14 

6 

325 

86 

27 
36 
67 
32 
35 

5 

5 

6 

316 

46 

10 
141 
45 



482 
126 
163 

422 

239 
284 
408 
1,530 
131 

69 

262 
745 
126 
256 

173 
292 
105 
260 
135 

144 
684 
210 
70 
181 

135 
8,967 

160 
1.563 

480 

315 
135 
83 
135 



1.434 

484 

26 



453 
38 
26 

269 
97 

58 
96 
49 
33 
78 

41 
124 

47 

1.201 

101 

65 
266 
125 



2,127 
630 
311 

1,733 

1,378 

810 

1,826 

6,624 

327 

330 
1,412 
2.197 

492 
1,021 

534 
1.051 
393 
463 
603 

803 
3.269 
519 
402 
610 

449 
25.933 

944 
6.305 
2.048 

1.647 
506 
190 
541 



4.318 
665 
141 
187 

1,682 
332 
193 
782 
409 

277 
341 
165 
122 
470 

236 
498 
201 
3,715 
361 

221 
923 
384 



147 
37 
41 

167 

89 
84 
87 
409 
29 

50 
98 

402 
34 

101 

55 
65 
26 
49 

42 

61 

206 

164 

16 

83 

47 

5,809 

39 

483 

135 

74 
60 
22 
64 



429 

104 

26 

18 

146 
8 

18 
59 
68 

32 
21 
58 
31 
20 

13 
32 
19 
363 
19 

19 

214 
48 



107 



Table 6. — Number of OfTenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued 



City by Stale 



Population 



Crime 
Index 
total 



Modified' 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Buiglary 



Larceny- 
theft 



Motor 
vehicle 
then 



PENNSYLVANIA— Continuwl 



Hampden Township 
Hanover 



Harrisburg 

Haverford Township 
Hilltown Tovmship . 

Indiana 

Johnstown 



Lancaster 

Lancaster Township ... 

Lansdowne 

Logan Township 

Lower Allen Township 



Lower Paxton Township 

Lower Southampton 

Manheim Township 

Marple Township 

Millcreek Township 



Murrysville 

Nazareth Area 

Nether Providence Township 

Newberry Township 

New Castle 



New Kensington 

Newtown Township (Bucks County) 

Northampton Township 

Northern York Regional 

North Huntingdon Township 



Oil City 

Palmer Township 
Peters Township 

Philadelphia 

Pittsburgh 



Radnor Township . 

Reading 

Ridley Township .. 

Rostraver 

Salisbury Township 



Scott Township 

Sharon 

South Whitehall Township 

Springettsbury Township 

Springfield Township (Delaware 
County) 



Spring Garden Township 

Spring Township (Berks County) 

Susquehanna Township 

Swatara Township 

Uniontown 



Upper Allen Township 

Upper Chichester Township 

Upper Providence Township ... 
Upper Southhampton Township 
Warren 



Warrington Township 

Warwick Township 

West Hempfield Township 
Windsor Township 



20.384 
14,399 

52,376 
49,848 
10,582 
15,174 
28,134 

55,551 
13,187 
11,712 
12,381 
15,254 

39,162 
19,860 
28,880 
23,123 
46,820 

1 7.240 
10.196 
13.229 
12,461 
28,334 

15,894 
13,685 
35,406 
34,935 
28,158 

11,949 

14,965 

14,467 

1,585,577 

369,879 

28,703 
78,380 
31,169 
11,224 
13,401 

17,118 
17,493 
18,261 
21,564 

24,160 

11,207 
18,899 
18,6.36 
19,661 
12,034 

13,347 
15,004 
10,709 
16,076 
11,122 

12,169 
11,622 
12,942 
10,147 



409 
618 

5,242 
609 
229 
490 

1.416 

4.076 
481 
212 
266 
516 

1.798 
701 
990 
537 

1,126 

349 
279 
204 
329 
1,319 

347 
156 
292 
707 
462 

390 

428 

204 

114,032 

32,386 

682 
6,683 
872 
289 
299 

318 
568 
615 

701 

812 

408 
160 

983 

1,272 

514 

168 
554 
122 
302 
356 

234 
108 
268 
126 



409 
620 

5,266 
616 
229 
491 

1,452 

4,107 
485 
213 
271 
516 

1.802 
701 
993 
538 

1.134 

354 
279 
204 
339 
1.384 

348 
156 
294 
710 
467 

394 

428 

207 

115.664 

32,765 

683 
6,728 
873 
290 
300 

319 
579 
623 
703 

818 

410 
160 
984 
1,279 
523 

168 
564 
124 
302 
360 

240 
108 
268 
126 



503 

35 



7 
3 

2 

1 

1 

734 

302 

4 
34 
4 
1 
1 



2 
10 

534 

10 

1 

4 

44 

151 
8 
II 

5 
5 

19 
4 

12 
4 
6 

4 
1 

5 

2 

58 

29 
1 
3 

2 
7 

1 
4 



12,806 
2,319 



390 

13 

3 

2 



5 
16 

529 

17 

3 

50 

118 

120 
4 

19 
9 

II 

141 

28 

17 

7 

19 

24 
4 
14 
10 

78 

39 
3 
13 
13 
28 

15 
13 
13 

7,344 
2,237 

14 

383 

48 

5 

1 

19 

43 

9 

7 

26 



37 
77 

1,063 
93 

37 

90 

375 

1,107 

129 

36 

83 

48 

275 

113 

156 

85 

235 

38 
53 
42 
55 
320 

61 
20 
68 
89 
85 

61 

36 

22 

24,144 

5,988 

81 
1,585 
93 
30 
40 

55 
117 
134 

78 

82 



337 
481 

2,458 
410 
166 
327 
784 

2,296 
298 
112 
143 
428 

1,214 
456 
747 
402 
810 

267 
213 
128 
249 
668 

167 
127 
174 
563 
309 

286 
362 
150 

42,633 
12,871 

529 
3.361 
635 
220 
229 

194 
338 
446 
591 

538 



28 
31 

573 
74 
18 
19 
88 

361 
41 
33 

24 
22 

135 
98 

57 
39 
54 

IS 

7 

14 

12 

131 

47 
5 
34 
31 
28 

25 

11 

18 

25,868 

8,634 

46 
921 
79 
30 
25 

46 
47 
19 
19 

154 



57 


314 


22 


29 


120 


8 


138 


705 


101 


145 


963 


110 


99 


277 


42 


32 


121 


2 


94 


350 


67 


25 


80 


5 


85 


182 


29 


55 


260 


24 


78 


122 


21 


24 


75 


4 


25 


203 


10 


28 


75 


2 



108 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued 



City by Stale 



Population 



Crime 
Index 
total 



ModiHed* 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



PENNSYLVANU— CoBtiniied 

Yeadon 

York 

York Township 

RHODE ISLAND 

Barrington 

Bristol 

Burrillville 

Central Falls 

Coventry 

Cranston 

Cumberland 

East Greenwich 

East Providence 

Johnston 

Lincoln 

Middletown 

Narragansett 

Newport 

North Kingstown 

North Providence 

North Smithfield 

Pawtucket 

Portsmouth 

Providence 

Smithfield 

South Kingstown 

Tiverton 

Warren 

Warwick 

Westerly 

West Warwick 

Woonsocket 

SOUTH CAROUNA 

Aiken 

Anderson 

Cayce 

Charleston 

Oemson 

Columbia 

Easley 

Florence 

GaiTney 

Goose Creek 

Greenville 

Greenwood 

Greer 

Hanahan 

Irmo 

Mauldin 

Mount Pleasant 

Myrtle Beach 

Newberry 

North Augusta 

North Charleston 



11,980 



42,192 
24,152 



15,849 
21,625 
16,230 
17,637 

31,083 
76,060 
29,038 
11,865 
50,380 

26,542 
18,045 
19,460 
14,985 
28,227 

23,786 
32,090 
10,497 
72,644 
16,857 

160,728 
19,163 
24,631 
14,312 
11,385 

85,427 
21,605 
29,268 
43,877 



19,872 
26,184 
11,163 
80,414 

11,096 
98,052 
15,195 
29,813 
13,145 

24,692 
58,282 
20,807 
10,322 
13,176 

11,280 
11,587 
30,108 
24,848 
10,542 

15,351 
70,218 



523 



3,094 
469 



341 

525 

246 

1,211 

906 
3,044 
1,046 

352 
1,616 

1,256 
688 
488 
639 

2,488 

767 
1,255 

362 
4,262 

362 

18,602 
346 
593 
459 
321 

5,305 
667 
964 

2,296 



1,490 

2,215 

879 

5,916 

712 
12,645 

923 
3,131 
1,021 

709 
6,818 
1,962 
1,273 

793 

279 

406 

2,035 

4,065 

150 

799 
8,973 



525 

3,123 
471 



341 

525 

250 

1,211 

916 
3,069 
1,055 

354 
1,645 

1.261 
688 
489 
639 

2,507 

771 
1,267 

364 
4,264 

362 

19,051 
351 
596 
461 
321 

5,352 
669 
967 

2,312 



1,505 

2,234 

881 

5,926 

713 
12,692 

924 
3,139 
1,032 

714 
6,847 
1,969 
1,282 

799 

279 

409 

2,038 

4,069 

152 

803 
9,039 



22 



15 

20 

5 

51 

3 

103 

8 

32 

6 

7 

49 

20 

3 

6 



153 
5 



48 

1 
18 
4 

77 
1 

860 
2 
5 
5 

2 

26 
2 
5 

42 



30 

46 

24 
252 

4 
518 

9 

IG8 

19 

7 

263 

35 

35 

9 

2 

3 

18 

83 

10 

28 
350 



41 



114 
II 



9 

24 

2 

133 

27 
83 
43 
16 
58 

30 



6 

97 
207 

21 

57 

57 

193 

1 

999 

2 
2 
2 
3 

435 

6 

14 

125 



71 
299 

96 
496 

18 

1,318 

69 

374 

147 

36 
673 
549 
138 

45 

22 
25 
134 
141 
26 

76 
888 



100 



608 
104 



72 
160 

97 
286 

277 

854 

260 

94 

347 

257 
109 
89 
149 

477 

224 
342 
120 
1,127 
135 

4,480 

100 

151 

118 

50 

788 
220 
215 
615 



328 

576 

122 

1,000 

119 
1,967 
127 
683 
200 

113 
1,314 
415 
205 
188 

69 

78 

392 

1,036 

10 

192 
1,612 



271 

1,999 
313 



251 
303 
128 
399 

534 
1,589 
663 
223 
931 

677 
346 
359 
363 
1,550 

463 
529 
157 
1,956 
193 

7,596 
185 
389 
279 
239 

3,053 
401 
647 

1,234 



964 
1,125 

588 
3,645 

539 
7,563 

685 
1,791 

604 

520 
4,182 
891 
825 
478 

170 

285 

1,422 

2,590 

96 

426 
5,091 



98 



180 
29 



7 

35 

15 

341 

61 
467 

73 

14 

254 

280 

228 

32 

24 

188 

56 
300 

23 
891 

32 

4,539 

57 
45 
54 
23 

990 
36 
81 

266 



79 
144 

42 
465 

29 

1,154 
25 
138 
45 

26 
324 
51 
66 
67 

16 

14 
62 
194 

4 

74 
920 



109 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued 



City by Stale 



Population 



Crime 
Index 
total 



Modified* 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



SOUTH CAROUNA— Continiied 

Orangeburg 

Rock Hill 

Simpsonville 

Spartanburg 

Summerville 

Sumter 

West Columbia 

SOUTH DAKOTA 

Aberdeen 

Brookings 

Huron 

MitcheU 

Pierre 

Rapid City 

Sioux Falls 

Vermillion 

Watertown 

Yanlcton 

TENNESSEE 

Brentwood 

Bristol 

Brownsville 

Chattanooga 

Clarksville 

Cleveland 

Collierville 

Columbia 

Cookeville 

Dyersburg 

East Ridge 

Franklin 

Gallatin 

Germantown 

Goodlettsville 

Oreeneville 

Hender«)nville 

Jackson 

Johnson City 

Kingsport 

Knoxville 

Lawrenceburg 

Maiyville 

McMinnville 

Memphis 

Morristown 

Murfreesboro 

Nashville 

Oak Ridge 

Shelbyville 

Smyrna 

Springfield 

Tullahoma 

Union City 



13,739 
41,643 
11,708 

43,467 
22,519 
41,943 
10,588 



12,703 



16,392 

23,421 

10,019 

152,466 

75,494 
30,354 
14,427 
28.583 
21,744 

16,317 
21,101 
20,098 
18,794 
32,893 

11,219 
13,532 
32,188 
50,594 
49,381 

36,365 
165,121 
10.412 
19,208 
11,194 

610,337 
21,385 
44,922 

499,565 
27.310 

14,049 
13,647 
11,227 
16,761 
10,513 



1,961 

4.364 

427 

6,377 
1,559 
3,369 
1,443 



472 



437 

1,350 

493 

19,481 

4,989 
1,800 

420 
1.961 

880 

1,479 
1,305 

965 
1,056 

470 

1,009 

826 

1,026 

5,275 
3,171 

2,757 

13.113 

490 

835 

553 

60,255 
1,393 
3,016 

39,360 
1.370 

640 
718 

1,034 
786 

1,018 



1,973 

4,381 

428 

6.394 
1.564 
3.381 
1,445 



24,927 


1.000 


1.012 


16,270 


599 


602 


12,448 


520 


521 


13,798 


692 


700 


12,906 


•705 


708 


54,523 


3,437 


3,462 


100,814 


4,474 


4,492 


10,034 


475 


480 


17,592 


767 


770 



473 



437 

1,361 

493 

19,638 

5,009 

1,805 

421 

1,968 



1,481 
1,308 

1,058 
470 

1,009 
826 
1,037 
5,327 
3,182 

2,773 

13,333 

490 

840 

564 

61,014 
1,408 
3,026 

1,372 

646 

1,035 

1.023 



195 

1 

4 

67 



7 

8 

180 



6 

47 
18 

4 

III 

5 

13 
2 

831 

13 

17 

553 

II 

1 
7 
6 
4 
6 



55 

110 

10 

275 
40 

120 
34 



2 

6 

13 

961 

68 
28 



51 
6 

12 
30 
13 
13 

7 

16 

7 

7 

162 

56 

15 

601 

3 

II 

5 

4.152 
7 

48 
2.164 

16 

13 
10 
19 
8 

13 



159 

680 

33 

926 
106 
529 
155 



29 
1 

5 
24 

20 
193 
192 

12 

15 

16 



14 

55 

65 

2,296 

1,050 

208 

31 

129 

19 

105 

51 
118 
176 

7 

28 



128 
642 
101 

203 

1,236 

67 

25 

46 

3,904 
42 
178 

4,102 
64 

49 
47 
292 
34 
41 



369 

788 

99 

1,127 
261 
682 
244 



117 
'57 
48 
137 

70 
464 
579 
100 
197 



48 



64 

178 

140 

4,603 

899 
422 
55 
489 
206 

253 
257 
145 
140 
57 

III 
165 
170 
1,122 
631 

343 

3,637 

93 

170 

114 

15.526 

290 

505 

8,892 

234 

183 
276 
134 
167 
180 



1,267 

2,572 

267 

3,695 

1,056 

1,842 

909 



789 
522 
426 
499 

587 

2,582 

3,450 

338 

525 

394 



344 
1,059 

239 
9,215 

2,733 
970 
289 

1,217 
588 

1,050 
852 
638 
686 

374 

783 

561 

680 

3,083 

2,130 

2,016 

5,660 

286 

559 

350 

22,966 

891 

2,072 

20,115 
957 

369 
330 
561 
538 

743 



104 

167 

14 

303 
82 

163 
93 



43 
17 
37 
32 

23 

136 

135 

16 

21 

10 



13 

42 

28 

2,194 

192 

162 

45 

65 

54 

49 
107 
46 
35 
23 

71 

93 

33 

215 

231 

175 

1.843 

36 

57 

35 

12.681 

149 

192 

3,467 

88 

25 
46 
22 
35 
32 



110 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued 



City by Suic 



Population 



Critnc 
Index 
total 



ModiHed* 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 

vehicle 
theft 



TEXAS 

Abilene 

Alice 

Allen 

Alvin 

Amarillo 

Andrews 

Angleton 

Arlington 

Athens 

Austin 

Balch Springs 

Bay City 

Baytown 

Beaumont 

Bedford 

Beeville 

Bellaire 

Belton 

Benbrook 

Big Spring 

Borger 

Brenbam 

Brownsville 

Brownwood 

Bryan 

Burkbumelt 

Burleson 

Canyon 

CarroUton 

Cedar HiU 

Gebume 

College Station 

CoUeyville 

Conroe 

Coppell 

Copperas Cove 

Corpus Christi 

Corsicana 

Dallas 

Deer Park 

Del Rio 

Denison 

Denton 

DeSoto 

Donna 

Dumas 

DuncanviUe 

Eagle Pass 

Edinburg 

El Campo 

El Paso 

Eimis 

Euless 

Farmers Branch 

Flower Mound 

Forest Hili 

Fort Worth 



106,654 
19,788 
18,309 
19,220 

157,615 
10,678 
17,140 

261,721 
10,967 

465,622 
17.406 
18,170 
63,850 

114,323 

43,762 
13,547 
13,842 
12,476 
19,564 

23,093 
15.675 
11,952 
98,962 
18,387 

55,002 
10,145 
16,113 
11,365 
82,169 

19,976 

22,205 
52,456 
12,724 
27,610 

16.881 

24.079 

257.453 

22.911 

1,006.877 

27.652 
30,705 
21,505 
66,270 
30,544 

12,652 
12,871 
35,748 
20,651 
29,885 

10,511 
515,342 
13,883 
38,149 
24,250 

15,527 

11,482 

447,619 



5,739 

1,864 

673 

1.274 

13,643 
327 
770 

22,309 
850 

54,543 
2,207 
1,773 
6,053 

13,099 

2,433 
980 
736 
492 
699 

1,665 

689 

543 

9,163 

1.473 

4,360 
332 
953 
226 

5,190 

1,013 
1,343 
2,402 
369 
2,943 

668 

1,215 

26,535 

1.963 

156,267 

850 
1,694 
2,165 
5,436 
1,823 

879 

453 

2,258 

1.302 

1,716 

833 

57,921 

934 

2,351 

2,242 

497 

959 

67,040 



5,775 

1,882 

676 

1,275 

13,728 
331 
770 

22,423 



54,999 
2,217 
1,778 
6,082 

13,162 

2,437 
982 
738 
494 
699 

1,690 
690 

547 
9.174 
1,477 

4,375 
333 
956 
229 

5,194 

1,014 

1,355 

2,403 

369 

2,952 

668 

1,217 

26.685 

1,985 

157,822 

854 
1,694 
2,182 
5,528 
1.834 

879 

453 

2.280 

1,307 

1.723 

833 

58,195 

947 

2,364 

2,255 

498 

969 

67,320 



447 



13 
139 



280 

14 

6 

51 

126 

23 



23 

2 

25 

240 

34 

1,344 



1 
130 



3 
8 
4 
17 

3 

256 

5 

13 

4 



432 



187 
6 
6 

13 

248 
2 
5 

586 
10 

1,461 

26 

31 

175 

562 

31 
7 

22 
7 

13 

7 

7 

9 

172 

12 

125 
2 
11 



71 

15 

13 

25 

1 

67 

6 

4 

446 

30 

10,565 

9 

4 

40 

73 

31 

1 
1 

60 
3 

26 

16 

1,381 

14 

31 

37 

4 

52 

2,801 



628 
67 
30 
76 

581 

27 

36 

1,143 

75 

1,539 

325 

82 

225 

1,136 

25 
157 
53 
33 
29 

153 
13 
89 

552 
98 

345 
22 
12 
15 

108 

31 

7 

87 

11 

292 

20 

166 

892 

59 

12,194 

73 
117 
159 
305 

33 

99 



101 
48 

217 

48 

3,440 

49 

88 

87 

79 

43 

4,463 



1,647 
566 
175 
186 

3,262 
81 

139 
4,498 

284 

11,371 

319 

377 

1,377 

3,842 

476 
236 
155 
110 
158 

273 

174 

92 

2,414 

454 

1,135 

90 

233 

40 

1,180 

396 

158 
491 
101 

577 

272 

257 

6,131 

365 

32,975 

254 

413 

565 

1,432 

457 

176 
146 
608 
242 
464 

258 
9,565 
263 
490 
410 

133 

228 

15.298 



2,912 

1.165 

432 

927 

8,876 

206 

526 

13,192 

446 

35.955 
1,362 
1,237 
3,385 
6,151 

1,682 
550 
420 
330 

427 

1,153 
469 
335 

4,908 
854 

2.519 
205 
629 
160 

3,313 

501 
1,099 
1,648 

246 

1,735 

337 

718 

17,548 

1,403 

74.229 

449 
1.093 
1.271 
3.363 
1,114 

547 
291 
1,271 
943 
833 

496 
37.609 

539 
1.520 
1.393 

248 

499 

34,710 



266 
53 
29 
66 

579 

10 

51 

2,743 

33 

3,891 

160 

39 

839 

1,263 

195 
30 
84 
10 
63 

61 
26 
14 
1,068 
41 

188 
13 
60 
10 

504 

6S 

65 

143 

9 

246 

31 

44 

1,249 

72 

24,513 

60 

67 

121 

228 

182 

55 
11 

209 
60 

158 

10 

5,636 

63 

206 

309 

26 

128 

9,206 



111 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued 



City by Sute 



Population 



Crime 
Index 
total 



Modified* 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



TEXAS— Continiied 

Freeport 

Friendswood 

Gainesville 

Galena Park 

Galveston 

Garland 

Gatesville 

Georgetown 

Grand Prairie 

Grapevine 

Greenville 

Groves 

Haltom City 

Harker Heights 

Harlingen 

Henderson 

Hereford 

Houston 

Humble 

Huntsville 

Hurst 

Irving 

Jacksonville 

KeUer 

Kerrville 

Kilgore 

KiUeen 

Kingsville 

Lake Jackson 

La Marque 

LaMesa 

Lancaster 

La Porte 

Laredo 

League City 

Levelland 

Lewisville 

Live Oak 

Longview 

Lubbock 

Luflcin 

Mansfield 

Marshall 

McAUen 

McKinney 

Mercedes 

Mesquite 

Midland 

Mineral Wells 

Mission 

Missouri City 

Mount Pleasant 

Nacogdoches 

Nederland 

New Braunfels 

North Richland Hills 

Odessa 



11,389 
22,814 

14,256 
10,033 
59,070 
180,650 
11,492 

14,842 
99,616 
29,202 
23,071 
16,513 

32,856 
12,841 
48,735 
11,139 
14,745 

1,630,553 

12,060 

27,925 

33,574 

155,037 

12,765 
13,683 
17,384 
11,066 
63,535 

25,276 
22,776 
14,120 
10,809 
22,117 

27,910 
122,899 
30,159 
13,986 
46,521 

10,023 
70,31 1 
186,206 
30,206 
15,607 

23,682 
84,021 
21,283 
12,694 
101,484 

89,443 
14,870 
28,653 
36,176 
12,291 

30,872 
16,192 
27,334 
45,895 
89,699 



847 
618 

859 

285 

6,994 

11,627 

289 

743 
8,870 
1,444 
3,732 

684 

3,472 

482 

3,842 

1,145 

860 

184,869 

1,713 

1,575 

2,695 

13,832 

914 
426 

1,079 
739 

4,401 

1,857 
739 
954 
535 

1,247 

972 

10,927 

1,079 

551 

4,381 

388 

6,735 

12,302 

2,721 

943 

1,749 

8,709 

1,715 

595 

10,647 

5,564 

955 

1,763 

1,701 

824 

1,815 

873 

1,412 

3,248 

12,138 



850 
620 

860 

291 

7,039 

11,720 

289 

743 
8,875 
1,451 
3,755 

685 

3,475 

484 

3,852 

1,147 

868 

186,884 

1,718 

1,576 

2,702 

13,891 

914 
429 

1,085 
742 

4,589 

1,863 
742 
955 
540 

1,272 

984 

10,979 

1,090 

558 

4,406 

400 
6,771 
12,360 
2,729 

946 

1,764 

8,729 

1,717 

600 

10,697 

5,587 

958 

1,772 

1,711 

837 

1,823 

873 

1,429 

3,255 

12,182 



568 



49 
132 

2 

2 
52 

6 
26 



1,335 

1 

9 

35 

90 

2 
2 
6 
3 
47 

11 

2 
9 
1 



28 

1 

66 

160 

14 

2 

25 
16 
29 
10 

21 

65 
4 
8 
6 
1 



3 

8 

386 

204 



194 
15 
66 

5 

65 

4 

36 

14 

3 

12,921 

34 

25 

38 

231 

28 
I 

10 
3 

94 

30 

2 
17 

5 
32 

22 

158 

12 

3 

48 

2 

141 

304 

39 



42 

104 

27 

12 

178 

121 
6 

12 

47 

5 

34 
7 
25 
46 
114 



38 
34 

52 

5 

293 

370 

18 

62 

614 
48 

811 
II 

70 

56 

241 

HI 

75 

7,813 

33 

122 

112 

352 

51 
66 
30 
48 
129 

158 

9 

14 

51 

9 

51 
561 
14 
30 
90 

28 
887 
636 
114 

49 

183 

340 

294 

97 

377 

302 
114 

67 
53 
47 

186 
14 
167 
107 
466 



179 
165 

255 

86 

1,552 

2,903 

70 

155 
1,879 
297 
806 
.164 

1,007 
108 
935 
211 
137 

42,986 

207 

353 

514 

2,430 

210 
115 
284 
190 
1,151 

475 
73 
296 
141 
284 

239 
2,231 
267 
100 
847 

59 

1,435 

2,893 

818 

208 

316 

1,624 

320 

187 

1,666 

1,554 
271 
382 
527 
229 

401 
164 
390 
663 
2,415 



541 

374 

502 

146 

4,075 

6,889 

177 

472 
4,702 

986 
1,861 

465 

1,877 
275 

2,355 
740 
603 

78,393 

1,059 

977 

1,702 

9,280 

593 

223 
700 
440 

2,774 

1,141 
588 
557 
330 
763 

558 

6,876 

670 

403 

2,889 

262 
3,760 
7,516 
1,611 

623 

1,087 

5,562 

940 

253 

7,274 

3,144 
501 

1,117 
860 
513 

1,130 

659 

721 

2,064 

8,704 



70 
34 

43 

40 

623 

1,118 

22 

42 

1,424 

92 

160 

37 

428 
29 

265 
63 
42 

40,853 

379 

88 

290 

1,436 

29 
19 
48 
54 
195 

41 

64 

59 

6 

158 

88 

1,070 

107 

14 

475 

36 
441 

777 

120 

53 

92 

1,060 

105 

36 

1,127 

371 
58 
176 
207 
' 26 

54 

29 

106 

340 

368 



112 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued 



City by Sute 



Population 



Cnmc 
Index 
total 



Modined' 
Cnme 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
as&ault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
ibeft 



TEXAS— CondniMd 

Orange 

Palestine 

Pampa 

Paris 

Pasadena 

Pearland 

Pecos 

Pharr 

Plainview 

Piano 

Port Arthur 

Portland 

Port Lavaca 

Port Neches 

Richardson 

Robstown 

Rockwall 

Rosenberg 

Round Rock 

Rowlett 

San Angelo 

San Antonio 

San Benito 

San Juan 

San Marcos 

Schertz 

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 

ViUage 

Waco 

Watauga 

Waxahachie 

Weatherford 

Weslaco 

West University Place 

White Settlement 

Wichita Falls 



19,381 
18,042 
19,959 
24,699 
119,363 

18,697 
12,069 
32,921 
21,700 
128,713 

67,914 

12,224 
10,886 
12,974 
74,840 

12,849 
10,486 
20,183 
30,923 
23,260 

84,474 

935,933 

20,125 

10,815 

28,743 

10,555 
18,853 
31,601 
12,195 
14,207 

13,502 
24,529 
14,062 
11,967 
11,472 

46,109 
12,490 
31,656 
40,822 
22,113 

75,450 
13,057 
22,259 
14,729 
12,001 

55,076 
10,935 
11,477 
103,590 
20,009 

18,168 
14,804 

21,877 
12,920 
15,472 

96,259 



2,605 
1,640 
1,348 
2,964 
10,668 

1,032 
445 
3,240 
1,503 
6,954 

5,565 
502 
455 
522 

4,829 

689 

518 

1,825 

1,230 

875 

5,970 

116,774 

1,014 

940 

1,978 

512 
1,841 
3,134 

354 
1,233 

593 
857 
1,095 
740 
814 

3,357 
1,147 
2,940 
4,084 
1,077 

8,469 
698 
983 
442 
502 

4,371 

439 

281 

11,204 

520 

1,995 
1,021 
1,791 
439 
1,405 

10,785 



2.620 
1,654 
1,351 
2,975 
10,769 

1,036 
446 
3,254 
1,519 
6,984 

5,613 
505 
455 
525 

4,843 

692 

524 

1,904 

1,232 

879 



117,620 

1,017 

946 

1,991 

513 
1,847 
3,145 

354 
1,235 

593 
862 
1,099 
740 
815 

3,369 

2,973 
4.111 
1,077 

8,504 
704 
983 
443 
546 

4,381 

443 

281 

11,241 

520 

2.016 
1.024 
1.795 
441 
1.406 

10.876 



2 

5 
208 
4 
4 
1 



11 

27 
6 

57 
430 



108 



154 
31 

14 

37 

237 



3 
35 
15 
64 

253 
1 
6 
2 

107 

17 

4 

49 

n 

6 

41 

2,864 

9 

7 
21 

2 
34 
82 

1 
39 

2 
12 
3 
7 
12 

61 
46 
67 
122 
5 

164 

7 

20 

5 



63 

3 

6 

354 

6 



17 



326 



152 
145 
237 
399 
886 

73 

43 

149 

113 

339 

713 

1 

39 

27 

126 

35 
II 
179 
80 
40 

413 

2,228 

64 

83 

146 

40 

137 

112 

36 

46 

23 
33 
83 
41 
46 

287 
116 
211 
126 
30 

403 

58 

7 

60 

94 

445 

24 

3 

882 
10 

149 
64 

112 

3 

21 

455 



785 
437 
281 
525 
2,150 

215 
110 
695 
354 
1,720 

1,777 
154 
123 
118 

1,124 

330 
112 
374 
208 

279 

1,539 

26,015 

283 

237 

383 

89 
616 
801 

49 
255 

91 
194 
223 
179 
235 

661 
269 
689 
911 
269 

1,851 
116 
185 
137 
186 

1,105 
96 
83 

3,171 
124 

378 
256 
344 
132 
158 

2,744 



1,375 

931 

773 

1,852 

5,907 

590 

283 

2,018 

969 

4,282 

2,359 
324 
275 
348 

3,035 

282 
342 
1.109 
846 
511 

3,704 

70,150 

593 

520 

1,286 

363 
987 
1,931 
244 
666 

450 
527 
721 
484 
489 

2,142 

650 

1.791 

2.583 

731 

5,516 
468 
668 
213 
198 

2,565 
286 
165 

6,030 
352 

1,297 
631 

1,086 
242 

1,064 

6,687 



99 

79 

30 

130 

1,408 

142 

4 

331 

41 

509 

395 

17 

9 

22 

413 

25 
48 
101 
58 
31 

211 

14,879 

61 

86 

124 

18 
45 

180 
13 

221 

26 
88 

57 
27 
28 

138 

57 

159 

314 

42 

453 
43 
99 
23 
11 

164 
30 
23 

637 

28 

148 
53 

236 
49 

145 

488 



113 



Table 6.— Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Popnlation, 1990— Contlnned 



Cily by State 



Population 



Crime 
Index 
total 



Modified* 
Cnme 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Lanxny- 
theft 



Motor 
vehicle 
theft 



UTAH 



American Fork 

Bountiful 

Brigbam City . 
Cedar City ... 



CenterviUe 
Clearfield 
Kaysville . 
Layton ... 
Logan 



Midvale 

Murray 

North Ogden .. 

Ogden 

Pleasant Grove 



Prove 

Roy 

St. George .... 
Salt Lake City 
Sandy 



South Jordan .. 
South Salt Lake 
Spanish Fork .. 

Springville 

Tooele 



West Jordan 
West Valley 



VERMONT 



Brattleboro 
Burlington 
Rutland ... 



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 

Danville State Police ... 

Fairfax City 

Fairfax City Sute Police 
Fredericksburg 



Fredericksburg State Police 

Front Royal 

Hampton 

Hampton State Police 

Harrisonburg 



15,696 
36,659 
15,644 
13,443 

11,500 
21,435 
13,961 
45,600 
32,762 

11,886 
31,282 
11,668 
63,909 
17,294 

86,835 
24,603 
28,502 
159,936 
75,058 

12,220 
10,129 
11,272 
13,950 
13,887 

42,892 
86,976 



12,241 
39,127 
18,230 



111,183 



170,936 



34,590 
18,426 



40,341 



151,976 



15,004 
16,064 



53,056 
19.622 
19,027 



11,880 
133,793 



30,707 



806 

1,275 
551 
575 

474 

827 

417 

2,296 

1,233 

1,192 
3,599 

223 
5,803 

655 

3,326 
1,037 
1,124 
20,002 
3,219 

285 
2,045 
637 
459 
604 

2,089 
6,846 



933 
3,717 
1,282 



7,417 

5 

11,055 

10 

980 
1,125 

5 
2,540 

6 

7,349 

11 

837 

755 

4 

2,144 

5 

1,234 

1 

693 

6 

558 

8,099 

14 

1,485 



806 



555 
575 



832 
2,301 



1,196 

3,611 

223 

5,838 



1,126 
20,115 

3,223 

285 
2,061 

459 



2,091 
6,882 



7,453 

5 

11,092 

10 

982 

1,133 

5 

2,557 
6 

7,429 

11 

838 

756 

4 

2,145 

5 

1,246 

1 

694 

6 

563 

8,162 

14 

1,489 



12 



5 

4 
2 
2 

3 
4 
3 

18 
II 

6 
17 

3 
46 

1 

30 

4 

8 

167 

14 

2 
13 
8 
3 
3 

13 
59 



23 



38 



20 

4 

2 

539 

26 

1 
26 
3 
1 
I 

12 
56 



356 



400 
1 



70 



272 



1 

4 
220 



11 



12 

38 

22 

9 

19 

21 
22 
47 
17 

26 

62 

1 

213 

45 

49 
71 
29 
624 
118 

9 
59 



25 
209 



277 

1 

335 



145 



411 

2 

26 

23 



15 

286 

3 

15 



97 

166 

62 

59 

144 

97 

67 

295 

113 

213 
447 
24 
794 
106 

406 
116 
186 
3,501 
719 

67 
350 
97 
63 
113 

251 
992 



161 
819 
219 



1,251 
1,484 



136 
136 

1 
345 

1 

1,552 



119 
50 



320 

139 

83 



60 
1,141 



234 



655 

1,016 

452 

478 

299 

647 

304 

1,831 

1,067 

874 
2,913 

186 
4,437 

476 

2,683 

799 

838 

13,949 

2,246 

182 

1,460 

504 

364 

427 

1,720 
5,263 



734 

2,643 

941 



4,490 
4 

7,752 
4 

784 

866 

4 

1,832 

5 

4,267 

7 

633 

645 

1 

1,558 

2 

949 

1 

502 

4 

448 

5,853 

9 

. 1,177 



37 
42 
13 
26 

8 
45 
20 
91 
24 

61 

129 

6 

246 

27 

137 

42 

60 

1,197 

96 

24 
135 
25 
19 
43 

68 
265 



20 



80 



983 



1,028 
5 



20 
53 



120 



802 

2 

48 

28 

2 

115 

3 

82 



45 

1 

24 

541 

1 

42 



114 



Table 6. — Namber of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued 



City by Suie 



Population 



Crime 
Index 
total 



Modined* 
Crime 
Index 
total 



Murder 
and non- 
ne^igent 

man> 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



VlRGI>aA— Condniied 



Harrisonburg State Police 

Hemdon 

Hopewell 

Leesburg 

Lynchburg 



Manassas 

Martinsville 

Martinsville State Police ... 

Newport News 

Newport News State Police 



Norfolk 

Norfolk Suie Police .. 

Petersburg 

Petersburg State Police 
Poquoson 



Portsmouth 

Portsmouth State Police 

Radford 

Radford Sute Police ... 
Richmond 



Richmond State Police 

Roanoke 

Roanoke State Police . 

Salem 

Salem State Police .... 



Staunton 

Staunton State Police 

Suffolk 

Suffolk Sute Police ., 
Vienna 



Virginia Beach 

Virginia Beach State Police 

Waynesboro 

Williamsburg 

Winchester 



Winchester Sute Police 



WASHINGTON 



Aberdeen 
Auburn . . . 
Bellevue 
Bellingham 



BotheU 

Bremerton . 
Centralia . . . 
Des Moines 
Edmonds 



EUensburg 
Everett . . . . 

Kelso 

Kennewick 
Kent 



Kirkland . 

Lacey 

Longview 
Lynnwood 
Marysville 



16,139 
23,101 
16,202 
66,049 

27,957 
16,162 



170,045 



261,229 
38,386 



11,005 
103,907 



15,940 
203,056 



96,397 
23,756 



24,461 
52.141 



14,852 
393,069 



18,549 
11,530 
21,947 



16.565 
33.102 
86.874 
52,179 

12,345 
38,142 
12,101 
17,283 
30,744 

12,361 
69,961 
11,820 
42,155 
37,960 

40.052 
19,279 
31,499 
28,695 
10,328 



2 
663 

1.331 
628 

3.858 

1.221 
1.157 

I 
10.243 

6 

26.786 

39 

2,871 

2 

187 

9,792 

2 

452 

1 

23,043 

20 
7,780 

7 
1,033 

3 

849 

3 

3.009 

2 

493 

22.716 

20 

897 

598 

1,895 

1 



1,673 
2,723 
4,946 
4.048 

617 

3.017 

940 

944 

1.086 

720 
5,148 

890 
3,534 
3,813 

2,141 
1,252 
1,640 
2.801 
609 



2 
667 

1.341 
628 

3.884 

1,222 
1,165 

I 
10,340 

6 

26,951 

39 

2,885 

2 

188 

9,893 

2 

452 

1 

23,160 

20 
7,870 

7 
1,036 

3 

855 

3 

3.043 

2 

495 

22.925 

20 

913 

599 

1,904 

1 



1,682 
2.761 
4.975 
4.073 

619 

3.031 

947 

945 

1,088 

726 

5,214 

895 

3,860 

2,153 
1,253 
1,640 
2,813 
609 



26 



18 



113 



14 



16 



99 



218 
38 



180 



149 
1 
4 
2 
4 



9 

32 

3 

127 

23 
23 



7 

104 

30 

420 

31 
90 



356 



1.393 

3 

156 



594 
1 



650 
1 

1.177 

3 

289 

1 

26 

393 



25 



1,281 

3 
240 



424 

1 

1 

17 

22 



15 
31 
55 
46 

3 
59 
15 

9 
10 

3 

106 

6 

27 
77 

21 
11 
19 
29 

7 



1.655 

1 
281 



30 



289 



313 

1 

20 

9 

41 



34 
105 
156 

83 

7 

106 

23 

15 

10 

18 
115 

23 
79 
52 

101 
35 
69 
56 
10 



107 

200 

75 

548 

174 
203 



1,797 



4,200 
4 

578 



27 



1.695 

1 
47 



4,396 



1,158 
146 



95 

1 

583 



74 
3,976 



99 

44 
248 



281 
470 
772 
549 

116 
501 
201 
197 

235 

100 
936 
136 
746 

677 

375 
154 
356 
297 
69 



1 

519 

958 

491 

2.614 

901 

773 

I 

6.686 

4 

16.941 

20 

1.606 

1 

128 

5.521 



354 

13.001 

14 

5,738 

7 

830 



694 

1 

1,720 

2 

373 

16.541 

17 

705 

500 

1.528 

1 



1.304 
1.791 
3.712 
3.142 

455 

2,146 

644 

606 

752 

566 

3.515 

676 

2.545 
2.597 

1.495 

989 

1,094 

2,251 

496 



1 

17 

32 

26 

116 

76 
55 



629 
I 

2,794 

9 

200 



1.489 
1 

22 

1 

2,417 

2 
315 



288 

29 

1,297 



32 
299 
227 
200 

33 
155 

49 
104 

67 

28 
395 

38 
100 
378 

140 

52 

83 

157 

27 



115 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued 



City by Slale 



Population 



Cnme 
Index 
loul 



Modified* 
Cnme 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
Ibeft 



Motor 
vehicle 
theft 



WASHINGTON— Continued 

Mercer Island 

Moses Lake 

Mountlake Terrace 

Mount Vernon 

Oak Harbor 

Olympia 

Pasco 

Port Angeles 

Pullman 

Puyallup 

Redmond 

Renton 

Richland 

Seattle 

Spokane 

Sunnyside 

Tacoma 

Tukwila 

Vancouver 

Walla Walla 

Wenatcbee 

Yakima 

WEST VIRGINIA 

Beckley 

Bluefield 

Cbarleston 

Clarksburg 

Fairmont 

Huntington 

Martinsburg 

Morgantown 

Moundsville 

Parkersburg 

St. Albans 

South Charleston 

Vienna 

Weirton 

Wheeling 

WISCONSIN 

Appleton 

Ashwaubenon 

Beaver Dam 

Beloit 

Brookfield 

Brown Deer 

Caledonia 

Chippewa Falls 

Cudahy 

De Pere 

Eau Claire 

Fitchburg 

Fond du Lac 

Fort Atkinson 

Franklin 



20,816 
11,235 
19,320 
17,647 
17,176 

33,840 
20,337 
17,710 
23,478 
23,875 

35,800 

41,688 

32,315 

516,259 

177,196 

11,238 
176,664 
11,874 
46,380 
26,478 

21,756 
54,827 



18,296 
12,756 
57,287 
18,059 

20,210 
54,844 
14,073 
25,879 
10,753 

33,862 
11,194 
13,645 
10,862 
22,124 

34,882 



65,695 
16,376 
14,196 
35,573 

35,184 
12,236 
21,676 
12,727 
18,659 

16,569 
56.856 
15,648 
37,757 
10,227 

21,855 



404 
1,239 
968 
998 
628 

2,363 
2,678 
1,182 
631 
1,656 

1,504 

4,007 

1,187 

65,053 

15,289 

1,237 
20,805 
2,726 
2,959 
2,658 

1,908 
7,675 



888 

390 

6,063 

490 

885 
4,314 
1,172 
1,393 

399 

1,455 
469 
536 
379 

578 

1,030 



2,840 

1,136 

903 

2,630 

1,664 
452 
419 
510 
817 

603 
3,037 

487 
2,224 

461 

458 



404 
1,241 

985 
1,005 

634 

2,372 
2,685 
1,193 
633 
1,672 

1,515 

4,024 

1,198 

65,322 

15,352 

1,246 
20,951 

2,991 
2,682 

1,910 

7,712 



894 

390 

6,123 

490 

897 
4,377 
1,195 
1,403 

399 

1,478 
472 
536 
381 
585 

1,030 



2,852 

1,136 

903 

2,646 

1,665 
453 
425 
511 
823 

609 
3,059 

488 
2,232 

466 

465 



I 
14 
16 
4 
4 

22 
10 
10 
7 
12 

16 

31 

9 

481 

98 

5 

245 

23 

42 

26 

14 
55 



19 
45 

5 

1 

17 

15 

70 

8 

2,695 

315 

6 

969 

68 

75 
25 

18 
163 



13 

15 

179 

3 

12 

131 

18 

15 

I 

14 
6 
6 



5 
45 

9 
33 
14 

52 
124 
20 
84 
26 

14 

83 

24 

4,551 

686 

45 

1,857 

78 

153 

247 

31 
499 



28 

12 

280 

22 

41 

140 

19 

48 

I 

27 
10 
29 
I 
26 



96 



48 

5 

119 

7 



100 
209 
172 
142 
68 

277 
607 
229 
110 
170 

266 

590 

251 

11,181 

3,579 

242 
3,956 
392 
679 
569 

309 
1,579 



129 

96 

1,174 

106 

207 
1,113 
167 
216 
103 

357 

III 

92 

18 

126 

345 



479 
88 

73 
457 

193 
65 
87 
69 

131 

108 
543 

76 
204 

29 

77 



281 
907 
711 
740 
528 

1,869 

1,765 

879 

393 

1,300 

1,139 

2,841 

855 

39,522 

9,878 

905 

11,975 

1,920 

1,756 

1,708 

1,480 
4,995 



689 

252 

4,102 

329 

572 
2,826 

919 
1,025 

258 

932 
301 
372 
351 
361 

413 



2,280 
993 
782 

1,950 

1,312 
347 
287 
402 
570 

457 
2,322 

359 
1,829 

409 

357 



14 
59 
50 
66 
14 

123 

122 

39 

36 

129 

54 
389 

40 

6,570 

725 

33 

1,778 

244 

251 

83 

56 
383 



24 

12 

279 

25 

42 
57 
43 
66 
34 

107 

38 

35 

9 

53 

120 



48 
29 
42 
100 

110 
36 
29 
20 

47 

18 
113 
35 
60 
14 

20 



116 



Table 6. — Number of Offenses Known to tbe Police, Cities and Towns 10,000 and over in Population, 1990 — Continued 



Cily by Suie 



Population 



Crime 
lodex 
total 



ModiHed* 
Cnme 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Foirible 
rape 



Robbery 



Aggra- 
vated 
assault 



Bui^ary 



Larceny- 
theft 



Motor 
vehicle 
theft 



WISCONSIN— Condnued 

Germantown 

Glendale 

Green Bay 

Greendale 

Greenfield 

JanesviUe 

Kaukauna 

Kenosha 

La Crosse 

Madison 

Manitowoc 

Marinette 

Marshfield 

Menasha 

Menasha Town 

Menomonee Falls 

Menomonie 

Mequon 

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 

Watertovm 

Waukesha 

Wausau 

Wauwatosa 

West AUis 

West Bend 

Weston 

Whitefish Bay 

Whitewater 

Wisconsin Rapids 

WYOMING 

Casper 

Cheyenne 

Evanston 

Gillette 

Green River 

Laramie 



13,658 
14,088 
96,466 
15,128 

33.403 
52,133 
11,982 
80,352 
51,003 

191,262 
32,520 
11,843 
19,291 
14,711 

13,826 
26,840 
13,547 
18,885 
13,289 

628,100 
10,241 
20,764 
16,813 
23.219 

33,592 
19,513 
10,993 
11,284 
55,006 

11,961 
84,298 
10,610 
49,676 
14,116 

20,958 
23,006 
15,333 
27,134 
13,030 

19,142 
56,958 
37,060 
49,366 
63,221 

23,916 
11,159 

14,272 
12,636 
18,245 



46,742 
50,008 
10,903 
17,635 

12,711 
26,687 



454 
1,170 
4,638 

852 

1,731 
3,535 
482 
4,214 
3,408 

12,620 

1,504 

545 

821 

738 

389 
963 
798 
252 
510 

58,406 
401 
601 

273 
987 

788 
834 
353 
520 
3,262 

387 
7,135 

487 
3,136 

460 

702 
1,563 

598 
2,105 

505 

708 
1,380 
1,979 
2,340 
3,485 

1,092 
479 
292 
425 

1,000 



2,632 

2,864 

508 

1,068 

554 
1,295 



456 

1,172 

4.673 

855 

1,731 
3,568 
482 
4,258 
3,413 

12,695 

1,507 

548 

826 

739 

390 
963 
803 
252 
510 

58,802 
405 
602 
278 
990 

803 
837 
356 
521 

3,275 

387 
7,182 

489 
3.171 

460 

710 
1.569 

601 
2,110 

509 

710 
1,395 
1,991 
2,349 
3,529 

1,102 
483 
292 
425 

1,002 



2,682 

2,885 

508 

1,081 

556 
1,297 



155 



10 



495 
1 



3 
37 
21 

6 

24 
15 
2 
91 
12 

230 
3 



2 
6 
I 

3 
4 

4,146 



3 

307 

1 

13 

22 

3 

1 

4 

14 

2 

3 
17 

7 
74 
49 

3 
1 
9 
2 
3 



2 

7 

244 



30 
47 
8 
79 
20 

301 
24 
10 

22 



5 

12 
1 
3 
9 

1,486 

7 

29 



19 

17 
29 
19 
3 
84 

17 

417 

1 

109 

4 

20 
44 
13 
13 

5 

3 

67 

32 

20 

166 

24 

13 

2 

3 

115 



196 
39 

24 
146 

16 

37 



64 

92 

550 

38 

222 
570 
117 
934 

222 

2,334 

159 

29 

77 

216 

76 
174 
67 
41 
94 

9,311 
91 

159 
58 

106 

160 
86 
58 

55 
447 

54 

1,647 

31 

420 

150 

123 
222 

90 
340 

66 

108 
274 
281 
313 
635 

89 
77 
39 
41 
168 



527 

228 

66 

120 

89 
136 



373 

888 

3,623 

771 

1,328 
2,771 
339 
2,823 
3,030 

8,957 

1,272 

491 

693 

501 

292 
711 
696 
195 
390 

29,575 
288 
363 
201 
840 

587 
632 
260 
453 
2,629 

306 

4,334 

434 

2,522 
242 

523 
1,257 

472 
1,618 

418 

578 

924 

1,576 

1,738 

2,380 

949 

362 
236 
373 
682 



1,772 

2,510 

388 

763 

428 
1,061 



11 
140 
180 

29 

126 
125 
13 
246 
113 

733 
42 
15 
28 
21 

12 
59 
31 
10 
13 

13,238 
15 
42 
13 
21 

22 
77 
15 
7 
93 

7 

394 

17 

68 

40 

33 
29 
18 
116 
14 

15 

89 

78 

185 

240 

25 

25 

5 

5 

31 



104 
68 
26 
28 



117 



Table 6.— Nnmber of Offenses Known to the Police, Cities and Towns 10,000 and over in Popnlation, 1990— Continued 



City by Sute 


Population 


Crime 
Indn 
toul 


ModiHed* 
Crime 
Index 
total 


Murder 
and noD- 
neKligem 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


Arxin* 


WYOMINC— ContiniMd 
Rock Springs 


19,050 
13,900 


1,229 
573 


1,229 
579 


1 
1 


9 
1 


6 

3 


77 
30 


246 
59 


843 
455 


47 
24 




Sheridan 


" 6 





'Forcible rape figures furnished by the sute-level Uniform Crime Reporting (UCR) Program administered by the Illinois Department of State Politx were not in accordance with national VC\ 
guidelines. Therefore, the figures were excluded from the forcible rape. Crime Index total, and Modified Crime Index total categories. 
'Aggravated Assault figures are not comparable to prior years due to a change in reporting procedures. 
'1990 figures are not comparable to prior years due to a change in reporting procedures. 



118 



Table 7. — Number of Offenses Known to the Police, Universities and Colleges, 1990 

* Anon IS shown only if 12 months of anon data were received. Leaders (...) indicate zero data. 



Univeivily/ColJege 



Student 
enroU- 
ment' 



Violent' 
crime 
total 



Violent Crime 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Property' 
cnme 
total 



Property Crime 



Burglary 



Larceny- 
theft 



Motor 

vehicle 
theft 



ALABAMA 

Auburn University; 

Main Cainpus 

Montgomery 

Jacksonville State University 

Troy State University 

University of Alabama: 

Huntsville 

Tuscaloosa 

University of Montevallo 

University of South Alabama 

ARIZONA 

Arizona State University 

Northern Arizona University 

Pima Community College 

University of Arizona 

Yavapai College 

ARKANSAS 

University of Arkansas: 

Fayetteville 

Little Rock 

Medical Science 

Pine Bluff 

CAUFORNIA 

Cabrillo College 

California State 

Polytechnic University: 

Pomona 

San Luis Obispo 

California State University: 

Bakersfield 

Chico 

Dominguez Hills 

Fresno 

Fullerton 

Hayward 

Long Beach 

Los Angeles 

Northridge 

Sacramento 

San Bernardino 

San Diego 

San Jose 

Stanislaus 

College of the Sequoias 

Contra Costa Community College 

Foothill College 

Fresno City College 

Humboldt State University 

Marin Community College 

Merced College 

Pasadena Community College 

San Francisco State University 

San Jose/Evergreen Community College 

District 

Santa Rosa Junior College 

Sonoma State University 

University of California: 

Berkeley 

Davis 

Irvine 

Lawrence Berkeley Laboratory 

Lawrence Livermore Laboratory 

Los Angeles 

See footnotes at end of table. 



20,553 
5,580 
7,511 
8,039 

7,448 

4 

2,719 
10,443 



13,835 
10,064 



43,426 


24 


14,996 


12 


26,810 


1 


34,725 


16 


5,717 





1,328 
3,333 


3 
59 


12,075 


2 


17,905 


12 


15,912 


1 


4,650 


2 


14,979 


13 


7,460 


3 


17,467 


2 


23,376 


3 


11,757 


4 


33,179 


15 


17,960 


10 


29,401 


35 


23,478 


8 


9,154 


3 


34,155 


19 


26,456 


13 


4.822 


1 


7,839 


3 


6,634 


4 


12,811 




14,710 


12 


6,135 


3 


9,817 




6,854 




19,518 


2 


24,138 


9 


16,197 


3 


20,479 


6 


6.129 


4 


30,102 


66 


20,733 


II 


14,772 

4 


12 


4 




34,371 


48 



16 



13 



29 



558 
58 

113 
21 

12 

556 

28 

42 



1,326 

557 

161 

1,323 

54 



386 

78 

144 

126 



62 



186 


1.099 


45 


502 


19 


139 


221 


1.063 


4 


50 



69 



115 



481 


24 


561 


50 


72 


38 


485 


11 


111 


41 


628 


75 


358 


19 


170 


7 


538 


93 


559 


18 


596 


85 


334 


46 


209 


87 


1,289 


65 


490 


57 


104 




61 


13 


291 


18 


130 


16 


311 


8 


212 


10 


72 


24 


81 


16 


226 


15 


559 


38 


89 




269 


14 


106 


13 


1.871 


165 


1,400 


63 


849 


77 


48 


14 


94 




1,225 


338 



529 
53 

105 
16 

II 

509 

26 

39 



310 
73 

143 
10 



33 



351 
502 

34 
462 

63 
505 
294 
152 
389 
456 
462 
239 
100 
1.007 
427 
101 

48 
233 
107 
269 
202 

46 

65 
191 
412 

84 

255 

90 

1.627 

1.319 

731 

34 

94 

756 



10 
4 



41 

10 

3 

39 



106 
9 



12 

7 

48 

45 

II 

56 

85 

49 

49 

22 

217 

6 

3 



40 

7 

34 



20 

109 



79 
18 
41 



131 



119 



Table 7. — Number of Offenses Known to the Police, Universities and Colleges, 1990 — Continued 



Univenity/CoUege 



Student 
enroU- 
meat' 



Violent' 
crime 
total 



Violent Crime 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Property' 
crime 
total 



Property Crime 



Burglary 



Larccny- 
tbeft 



Motor 
vehicle 
theft 



CALIFORNU— Condnued 

Riverside 

Sacramento 

San Diego 

San Francisco Medical School 

Santa Barbara 

Santa Cruz 

West Valley College 

COLORADO 

Adams State College 

Arapahoe Community College 

Auraria Higher Education Center 

Colorado School of Mines 

Colorado State University 

Red Rocks Community College 
University of Colorado: 

Boulder 

Colorado Springs 

Medical Center 

University of Denver 

University of Northern Colorado 

University of Southern Colorado 

CONNECTICUT 

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

Avery Point 

Health Center 

Storrs 

Western Connecticut State University 
Yale University 

DELAWARE 

University of Delaware 

FLORIDA 

Florida Atlantic University 

Florida International University 

Florida State University: 

Panama City 

University of Florida 

University of North Florida 

University of South Florida: 

Sarasota 

University of West Florida 

GEORGU 

Fort Valley State College 

Georgia Southern University 

Georgia State University 

Universtiy of Georgia 

West Georgia College 

ILUNOIS* 

Black Hawk College 

Chicago State University 

CoUege of DuPage 

Eastern Illinois University 

Illinois State University 

Joliet Junior College 

Lake County College 



7,087 


6 


4 


U 


16,410 


11 


3,759 


23 


17,743 


5 


8,816 


11 


12,595 





2,499 
7,049 

4 

2,319 

19,192 

5,173 

24,070 
5,815 
1.546 
6,874 
9,814 
3,971 



19,818 



11,325 
18,128 



33,282 
7,162 



7,095 



1,915 

9,842 

22,176 

27,176 

6,705 



5,317 
6,134 
26,493 
11,159 
22,330 
9,454 
11,587 



10 



14,198 


1 


4,447 


2 


12,784 

4 


4 


508 


3 


25,374 


12 


6,380 


9 


10,893 


11 



10 



475 
248 
936 
512 
638 
392 
83 



98 
62 

312 
48 

653 
9 

852 
21 
252 
205 
376 
98 



123 
143 
96 

13 

129 

537 

116 

1,428 



736 



155 
316 

1 

1,345 

96 

43 
113 



55 
281 
391 
628 
193 



22 
138 
252 
320 
523 
59 
74 



63 
16 
95 
47 
58 
112 



3 

10 
13 

3 

8 

165 

21 

422 



89 



366 
219 
718 
439 
569 
262 
83 



9 


89 


18 


40 


42 


267 


-9 


37 


56 


589 


' 


8 


153 


686 


1 


18 


13 


237 


75 


118 


42 


329 


20 


77 



117 

132 

81 

10 
120 
364 

90 
882 



624 



142 
264 



1,216 

71 



37 
101 



3 


51 


15 


263 


48 


337 


42 


561 


46 


137 



22 
126 
221 
281 
431 
52 
64 



46 
13 
123 
26 
II 
18 



13 
2 
2 

12 
5 
1 



1 

8 

5 

124 



23 



12 
35 



58 

7 



1 

3 

6 

25 

10 



12 
I 

3 
5 



Sec footnotes at end of table. 



120 



Table 7. — Number of Offenses Known to the Police, Universities and Colleges, 1990 — Continued 



Univenity/CoUege 



Student 
enroU- 
ment' 



Violent^ 
crime 
total 



Violent Crime 



Murder 
and non- 
negbgent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Property^ 
crime 
total 



Property Cnme 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



ILLINOIS'— ConUiiiied 

Morton College 

Northeastern Illinois University ... 

Northern Illinois University 

Southern Illinois University: 

Carbondale 

Edwardsville 

South Suburban College 

Triton College 

University of Illinois: 

Chicago 

Urbana 

Waubonsee College 

Western Illinois University 

INDLU><A 

Ball Sute University 

Indiana University: 

Bloomington 

Gary 

Indianapolis 

New Albany 

IOWA 

Iowa State University 

University of Iowa 

University of Northern Iowa 

KANSAS 

Emporia State University 

Fort Hays State University 

Kansas State University, Manhattan 

Pittsburg State University 

University of Kansas: 

Lawrence 

Medical Center 

Wichita State University 

KENTUCKY 

Eastern Kentucky University 

Kentucky State University 

Morehead State University 

Murray State University 

Northern Kentucky University 

University of Kentucky 

University of Louisville 

Western Kentucky University 

LOUISIANA 

Louisiana State University, Baton 
Rouge 

Louisiana Tech. University 

McNeese State University 

Northeast Louisiana University 

Southeastern Louisiana University 

Southern University: 
Baton Rouge 

MAINE 

University of Maine, Orono 

University of Southern Maine 



3,625 

9,846 

24,255 

24,227 
11,352 
8,263 
17,691 

23,993 

38,347 

5,378 

12,765 



18,732 

33,776 
4,812 
3,274 
5,192 



26,475 
30,001 
12,396 



5,763 

5,005 

19,301 

5,637 

26,020 
2,383 
16,673 



27,350 
10,044 

7,378 
10,498 

8,520 

8,968 



10,967 
10,071 



13,635 


14 


2 218 




7,360 


7 


7,593 


9 


9,490 


1 


22,230 


30 


21,313 


31 


14,056 


3 



10 



32 



13 



47 
185 

527 

834 

202 

44 

135 

996 

1,016 

40 

443 



952 

1.073 

32 

639 

31 



686 
629 

215 



184 
91 

520 
82 

945 

251 
226 



302 

1 

222 

81 

75 

875 

414 

229 



695 
261 
87 
279 
152 

348 



458 
103 



47 

194 

15 



141 
119 

14 



15 



118 
41 
12 
II 

5 



47 
160 

433 

734 
179 
21 

124 

942 

901 

35 

434 



849 
24 

599 
31 



540 
505 
201 



99 


84 


12 


75 


174 


344 


23 


57 


186 


755 


13 


234 


30 


180 



281 

1 

150 

69 

72 
802 
378 
221 



554 
216 
75 
268 
146 

308 



445 
101 



2 
4 

4 
12 
18 

5 

48 
20 



17 

30 

8 

25 



I 
4 

2 
2 

4 
4 
16 



28 
7 
3 



23 
4 



1 
19 



See footnotes at end of table. 



121 



Table 7. — Number of Offenses Known to tbe Police, Universities and Colleges, 1990 — Continued 



Univcreily/CoUcge 



Student 
enroll- 
ment' 



Violent' 
crime 
total 



Violent Crime 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Property' 
crime 
total 



Property Cnme 



Burglary 



Larceny- 
theft 



Motor 

vehicle 
theft 



MARYLAND 

Bowie State University 

Coppin State University 

Frostburg State University 

Morgan State University 

Saint Mary's College 

Salisbury State University 

Towson State University 

University of Baltimore 

University of Maryland: 

Baltimore City 

Baltimore County 

College Park 

Eastern Shore 

MASSACHUSETTS 

Boston College 

Boston University 

Brandeis University 

Emerson College 

Framingham State College 

Massachusetts Institute of Technology 

North Adams State College 

Northeastern University 

University of Massachusetts, Worcester 
Wentworth Institute of Technology . . . 

MICHIGAN 

Central Michigan University 

Delu College 

Eastern Michigan University 

Ferris State University 

Grand Valley State University 

Hope College 

Lansing Community College 

Macomb Community College 

Michigan State University 

Michigan Technological University 

Northern Michigan University 

Oakland Community College 

Oakland University 

Saginaw Valley State University 

Western Michigan University 

MINNESOTA 

University of Minnesota 

MISSISSIPPI 

Mississippi State University 

University of Mississippi 

MISSOURI 

Central Missouri State University 

University of Missouri: 

Columbia 

St. Louis 

Washington University 

NEBRASKA 

Kearney State College 

University of Nebraska, Lincoln 



3,325 


17 


2,246 




4,525 


3 


4,066 


25 


1,585 


2 


5,260 


2 


15,169 


9 


5,228 


3 


4,563 


25 


9,868 


12 


36,681 


26 


1,559 


2 



14,596 
28,555 
3,755 
2,668 
6,683 
9.500 
2,743 
32,389 

4 

3,861 



61,556 



12,406 
9.927 



10,104 

23,568 
13,932 
11,498 



9,094 
23.985 



19,024 


4 


9,651 




23,077 


19 


11,762 


17 


9,768 




2 781 




21,474 




31,466 




44,480 


42 


6,502 




8,185 




26.855 




12.254 




5.853 




24.861 


18 



12 



14 



17 



12 



68 

38 

68 

180 

74 

222 

499 

115 

498 

239 

1,447 

39 



402 
924 
173 

69 

34 
905 

25 
488 

99 
140 



398 
59 

587 
408 
101 
129 
168 
183 
2,231 
114 
214 
89 
121 
111 
578 



1,567 



361 

273 



265 

685 

86 

185 



124 
746 



17 

3 

1 

79 

11 

32 

107 

4 

15 

54 

214 

1 



33 

141 

31 

9 

3 

62 

11 

22 



19 



1! 



19 

15 
4 
3 
4 
3 
483 
1 

14 
2 
8 
5 

15 



120 



89 



51 

31 

67 

97 

63 

184 

372 

104 

475 

174 

1,191 

38 



347 
749 
137 

57 

30 
799 

14 
460 

98 
120 



375 

58 

550 

386 

96 

124 

163 

175 

1,669 

112 

199 

79 

111 

105 

546 



1,445 



315 
197 



172 



590 

81 

168 



83 
654 



6 
20 

7 



11 
42 



22 

34 

5 

3 

1 

44 



5 
1 

18 
7 
1 

2 
1 
5 

79 
1 
1 
8 
2 
1 

17 



2 
4 
14 



See footnotes at end of table. 



122 



Table 7. — Number of Offenses Known to the Police, Universities and Colleges, 1990 — Continued 



Univenity/CoUege 



Student 
enroll- 
ment' 



Violent' 
cnmc 
total 



Violent Crime 



Murder 
and Qon- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
auault 



Property^ 
crime 
total 



Property Crime 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



NEVADA 

University of Nevada: 

Las Vegas 

Reno 

NEW HAMPSHIRE 

University of New Hampshire 

NEW JERSEY 

Brookdale Community College 

Burlington County College 

Essex County College 

Glassboro State College 

Kean College 

Middlesex County College 

Monmouth College 

Montclair State College 

New Jersey Institute of Technology . . 
Rutgers University: 

Camden 

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 

Rensselaer Polytechnic Institute 

State University of New York: 

Albany 

Amherst 

Binghamton 

Health Science Center, Brooklyn 

Maritime College 

Plaza 

Stony Brook 

Upstate Medical Center 

State University of New York 

Agricultural and Technical College: 

Alfred 

Canton 

CobleskiU 

Delhi 

Farmingdale 

MorrisviUe 

Sute University of New York College: 

Brockport 

Buffalo 

Cortland 

Environmental Science and Forestry 

Fredonia 

Geneseo 

New Paltz 

Old Westbury 

Oneonta 



14,673 
10,506 



12,984 



3,765 
14,278 
24,433 

1,680 



11,529 
6.706 

16,561 

12,588 

1,681 

828 

28.005 

16,728 



3,775 
2,326 

4 

2,453 
10,802 



8,840 
12,721 
7,261 
1,398 
4,994 
5,321 
8,093 
3,923 
6,017 



27 



13 



10,637 


1 


6,252 




5,664 


3 


9,500 


7 


12,406 


12 


11,218 


1 


4,430 


3 


12,666 


4 


7,589 


16 


5,201 


5 


9,700 


6 


32,911 


20 


5,293 


6 


7,425 

4 


2 


4 


25 


4 


1 


9,230 


5 



16 



10 



266 
263 



293 



67 

31 

24 

158 

180 

85 

130 

331 

190 

163 
281 
704 
136 
242 

22 
587 

83 
150 



73 
604 
853 

17 



836 
315 

460 
1 
326 
295 
37 
819 
846 
338 



161 
148 
121 
137 
192 
117 

216 

255 

187 

7 

125 

205 

111 

69 

86 



65 



137 
51 



136 



59 
3 

12 
203 
204 

15 



171 
181 



225 



62 

31 

16 

129 

132 

72 

123 

182 

175 

136 
250 
644 
126 
200 

14 

496 

69 

141 



49 
483 
800 

17 



695 
264 

321 
1 
265 
292 
24 
587 
629 
323 



114 
146 
61 
99 
113 
102 

172 

204 

182 

7 

109 

201 

107 

52 

83 



2 




1 
29 
13 


1 
2 







See footnocet u end of ubie. 



123 



Table 7.— Number of Offenses Known to the Police, Universities and Colleges, 1990— Continued 



Univenity/CoUege 



NEW YORK— ContiniKd 



Optometry . 
Oswego .... 
Plattsburgh 
Potsdam . . . 
Purchase . . . 
Utica-Rome 



NORTH CAROUNA 



Appalachian State University ... 

Davidson College 

East Carolina University 

North Carolina State University, 

Raleigh 

Queens College 

University of North Carolina: 

Chapel HiU 

Charlotte 

Greensboro 

Wilmington 

Western Carolina University ... 



NORTH DAKOTA 



University of North Dakota . . . . 

OHIO 

Bowling Green State University 

Cleveland State University 

Cuyahoga Community College 

Kent State University 

Lakeland Community College .. 

Miami University 

Ohio State University 

Ohio University 

University of Akron 

University of Cincinnati 

University of Toledo 

Wright State University 

Youngstown State University ... 



OKLAHOMA 



Central State University 

Northeastern Oklahoma State 

University 

Oklahoma State University .. 

Tulsa Junior College 

University of Oklahoma: 

Health Science Center 

Norman 



PENNSYLVANIA 



Bloomsburg University 

California University 

Cheyney University 

Clarion University 

East Stroudsburg University .. 

Edinboro University 

Elizabethtown College 

Kutztown University 

Lehigh University 

Lincoln University 

Mansfield University 

Moravian College 

Pennsylvania State University: 
Altoona Campus 



Student 
cnroU- 
mcDt' 



11,824 



Violent' 
cnme 
total 



271 
8,672 


4 


6,594 


3 


4 310 




4,143 

4 


3 


11,548 


9 


1,395 




16,501 


19 


25,725 


29 


1,373 




23,626 


21 


13,181 


10 


11,477 


11 


6,953 


4 


6.162 


3 



18,345 


9 


17,353 


10 


22,014 


2 


22,753 


1 


7,840 




16,028 


3 


53,669 


37 


17,836 


6 


27,818 


22 


31,432 


21 


22,806 


13 


16,149 




14,710 


2 



14,269 

8,742 
21,558 
16,778 

2,459 
22,225 



6.804 
6.313 
1.361 
6.601 
4,910 
7,001 
1,788 
7,167 
6.659 
1.251 
2.980 
1,804 

2,604 



Violent Crime 



Murder 
and non' 
negligent 

man- 
slaughter 



29 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Property' 
crime 
total 



28 



11 

228 
112 
156 
150 

17 



172 
133 
382 

863 
39 

719 
281 
277 
350 
116 



347 



462 
312 
153 
565 
51 
466 

2,002 
273 
593 

1,019 
248 
383 
215 



127 

149 

310 

58 

36 
806 



76 

92 

45 

82 

110 

119 

41 

96 

225 

11 

31 

45 

38 



Property Cnme 



Burglary 



10 

2 
76 

176 
15 

200 
47 
34 
38 



122 
6 



10 



1 

425 

45 

45 

140 

6 

21 

4 



63 

54 

4 

1 
112 



Larceny- 
theft 



11 
203 
109 
154 
138 

17 



161 
129 
300 

664 
24 

502 
233 
237 
309 
108 



336 



326 

237 
141 
548 
50 
464 
1,534 
226 
537 
873 
223 
361 
205 



115 

84 

253 
54 

29 
667 



75 

86 

23 

80 

102 

110 

41 

95 

206 

5 

31 

43 



Motor 

vehicle 
theft 



35 



1 

2 
6 

23 



17 
I 
6 
3 



14 

69 

12 

7 

1 

I 

43 

2 

11 

6 

19 

1 

6 



6 

27 



See footnotes at end of table. 



124 



Table 7. — Number of Offenses Knovni to tbe Police, Universities and Colleges, 1990 — Continued 



Univereily/CoUcge 



PENNSYLVANU— ContiBued 

Behrend College 

Capitol Campus 

University Park 

Shippensburg University 

Slippery Rock University 

University of Pittsburgh, Bradford . . 

RHODE ISLAND 

University of Rhode Island 

SOUTH CAROUNA 

Qemson University 

Medical University of South Carolina 
University of South Carolina: 

Coastal Carolina 

Columbia 

Winthrop College 

SOUTH DAKOTA 

South Dakota State University 

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 State University 

Baylor University 

College of the Mainland 

Corpus Christi State University 

Eastfield CoUege 

East Texas State University 

Hardin-Simmons University 

Lamar University 

Laredo Junior College 

McLennan Community College 

Midwestern State University 

North Harris County College 

North Lake College 

Prairie View A & M University 

Rice University 

Richland College 

Southern Methodist University 

South Plains College 

Southwestern University 

Southwest Texas State University ... 
Stephen F. Austin State University . 

Sul Ross State University 

Tarleton State University 

Texas A & M University: 

College Station 

Galveston 

Texas Arts & Industries University . 

Texas Christian University 

Texas College Osteo. Med 

Texas Southern University 

Texas State Technical Institute: 



Siudcni 
eoroU- 
menl' 



2,830 
3,144 
37,269 
6,352 
7,360 
954 



15,847 



14,794 
2,118 

4.135 

26,435 

5,351 



7,736 



5,177 
10,983 
13,174 

24,985 
4,653 
1,773 



4,090 
5,395 
6,334 

11,789 
3,458 
4,045 
9,396 
7,315 
1,928 

11,809 
4,891 
5,411 
5,149 

13,302 
6,126 
5,640 
4,202 

13,101 
8,944 
4,394 
1,171 

20,505 

12,574 
2,236 
5,667 

39,163 

742 

5,614 

6,993 

391 

8,666 



Violcnl' 
crime 
total 



21 



Violent Cnme 



Murder 
and non- 
negligent 

man* 
slaughter 



Forcible 
rape 



Robt>ery 



Aggra- 
vated 
assault 



P jperty' 
rime 
Iota] 



53 

25 
908 

89 
137 

19 



319 



515 
540 

46 

678 
113 



109 



4 


86 


2 


228 


7 


291 


14 


811 


3 


141 


4 


215 



27 

50 

64 

266 

55 

23 

87 

120 

16 

325 

71 

8 

51 

40 

57 

228 

241 

102 

264 

20 

12 

512 

361 

55 

117 

775 

3 

137 

102 

44 
227 



Property Crime 



Burglary 



3 


49 


2 


23 


117 


790 


3 


84 


9 


128 


1 


18 



37 



38 


469 


26 


512 


6 


40 


135 


482 


14 


95 



16 



Larccny- 
Ihen 



265 



93 



16 


70 


9 


214 


38 


244 


54 


757 


20 


120 


9 


193 



26 
44 
57 

194 
50 
19 
84 
91 
10 

292 
57 
5 
42 
24 
56 

137 

175 
95 

201 
15 
8 

414 

304 
43 
80 

691 

3 

90 

80 

40 

175 



Motor 
vehicle 
theft 



17 



61 

4 



1 
13 



13 
3 



4 
1 
9 

36 
7 

30 



13 
4 
1 
3 

20 



1 
15 



Sec footnotes at end of table. 



125 



Table 7. — Number of Offenses Known to the Police, Universities and Colleges, 1990 — Continued 



Univcreity/CoUcge 



Student 
enroll- 
ment' 



Violent' 
crime 
total 



Violent Crime 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



vated 
assault 



Property' 
crime 
total 



Properly Crime 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



TEXAS— ContiniMd 

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 North Texas 

University of Texas: 

Arlington 

Austin 

Dallas 

El Paso 

Galveston 

Health Science Center, San Antonio 

Health Science Center, Tyler 

Houston 

Pan American 

Permian Basin 

San Antonio 

Southwest Medical School 

Tyler 

West Texas State University 

UTAH 

Brigham Young University 

Salt Lake Community College 

Southern Utah State College 

University of Utah 

Utah State University 

Utah Valley Community College 
Weber State University 

VIRGINL\ 

Christopher Newport College 

College of William & Mary 

George Mason University 

James Madison University 

Longwood College 

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 

WASHINGTON 

Central Washington University 

Eastern Washington University 

University of Washington 

Washington State University 

WEST VIRGINU 

Concord College 

Glenville State College 



858 
4,022 


4 


826 

24,605 

8,898 

7,820 


7 
2 
2 


30,372 
7,196 
7,409 

24,498 


7 
1 

4 
12 


23.383 
50,106 

7,667 


9 
13 


10,491 

4 


2 


2,219 




2,837 

4 

11,204 
2,132 


2 

5 

11 


13,134 
1,458 
3,859 


1 
1 


5,756 


8 



30,226 
9,048 
2,952 

23,758 

13,777 
6,833 

12,146 



7,109 

8,094 

33,460 

16,405 



2,450 
2,205 



4,647 




7,372 


8 


18,965 


26 


10,906 


7 


3,042 


3 


3,427 


4 


8,123 


17 


16,364 


6 


8,764 


3 


6,640 




4,948 


4 


20,802 


7 


20,645 


8 


24,280 


8 


3,855 


23 


6,755 





35 
196 

120 
651 

47 
97 

595 

34 

141 

404 

448 
916 

55 
172 
108 

87 

26 
407 
134 

11 
132 
152 

25 
126 



542 
67 
60 
782 
248 
116 
132 



30 
159 

452 
206 
116 
130 
179 
419 
132 
26 
183 
549 
765 

562 

134 

6 



299 

155 

1.106 

557 



123 
12 
16 

15 
1 
8 

50 

28 

33 

1 

21 



23 

142 

120 

521 

32 

78 

516 

32 

119 

333 

398 

857 

52 

142 

105 

78 

24 

385 

119 

11 

127 

138 

25 

96 



9 


525 


1 


66 


14 


44 


58 


714 


18 


229 


2 


114 


11 


120 



29 
141 
352 
190 

94 
122 
134 
376 
129 

25 
151 
531 
747 

512 

118 

6 



20 


274 


7 


147 


177 


898 


61 


480 



7 
3 
3 

64 

I 

14 

21 

22 
26 
2 
9 
3 
7 
2 
17 
5 



2 

10 

1 



3 

11 

25 

3 

1 

2 
6 
9 

3 
3 



5 

1 

31 

16 



See footDoles at end of table. 



126 



Table 7. — Number of Offenses Known to the Police, Universities and Colleges, 1990 — Continued 



Univenity/CoUege 



Studeni 
enroll- 
ment' 



Violent' 
cnme 
total 



Violent Cnme 



Murder 
and non- 
ne^lgent 

man- 
slaughter 



Forcible 
rape 



Aggra- 
vated 
assault 



Property' 
crime 
total 



Property Cnme 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



WEST VIRGINU— Contlnoed 

Manball University 

West Liberty State College 

West Virginia State College 

West Virginia Tech 

West Virginia University 

WISCONSIN 

University of Wisconsin: 

Eau Claire 

Green Bay 

La Crosse 

Madison 

Milwaukee 

Oshkosh 

Parlcside 

Whitewater 

WYOMING 

University of Wyoming 



12,350 
2,435 
4,509 
2,955 

18,746 



11,038 

5,221 
9,242 
43,364 
25,212 
11,209 
5,172 
10,458 



10,773 



146 
25 
50 
14 

413 



151 
54 
165 
1,037 
406 
194 
110 
163 



364 



1 

43 

104 

18 

4 

4 

20 



125 
23 
45 
10 

383 



151 
53 
120 
895 
382 
188 
106 
141 



356 



3 
19 



'The student enrollment figures provided by the United States Department of Education are for 1 988, the most recent year available. The enrollment figure includes full-time and pan-time 
students. See Appendix 1 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. 

^Student enrollment figures were not available. 

'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 and violent crime total categories. 

NOTE; Caution should be exercised in making any inter-campus comparisons or ranking schools, as university/college crime statistics are affected by a variety of factors. These include: 
demographic characteristics of the surrounding community, ratio of male to female students, number of on-campus residents, accessibility of outside visitors, size of enrollment, etc. 



127 



Table 8. — Number of Offenses Known to the Police, Suburban Counties, 1990 

[The data shown in this table do not reflect county totals but are the number of offenses reported by the shenfTs office, county police department, or stale 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, mcluding arson. 



County by State 


Crime 
Index 
total 


Modified* 
Crime 
Index 
total 


Murder 
and non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 

vehicle 

theft 


Arson* 


ALABAMA 


1,272 
415 
414 
129 
44 
398 
572 
512 

6,839 
428 
235 
971 

2,271 
972 
413 
356 
462 
420 

1,492 
520 

6,959 
12,091 

285 
309 
402 
584 
129 
425 
3,050 
1,129 
282 
676 

3,561 

116 

127 

2,586 

231 

40 

5,628 

939 

12 

2,439 

227 

7,925 

124 

51 

15,129 

285 

38 

50,577 

780 

488 

1,719 

149 

1,666 

167 

5 

2,728 

164 

960 


6,994 
12,175 

286 
312 
403 
591 
129 
443 
3,090 
1,129 
288 
679 

3,597 

127 
2,690 

40 
5,682 

12 
2,456 

7,950 

51 
15,786 

38 

51,246 

491 

1,735 

1,670 

5 
2,816 

965 


3 


15 


19 

4 
8 
1 


97 

25 

41 

11 

3 

72 

62 

53 

1,093 

35 

77 

151 

403 

72 

40 

42 

58 

4 

241 

5 

177 
517 

14 
35 
36 
39 
2 
23 
465 
31 
29 
24 

243 
2 
11 

297 
6 
7 

366 

55 

2 

144 


426 
182 
154 
43 
18 
171 
206 
132 
1,751 
183 
76 
234 
613 
343 
164 
114 
151 
209 
457 
178 

2,001 
2,160 

113 
122 
134 
210 
52 
126 
883 
477 
109 
263 

916 


657 

175 

173 

62 

21 

138 

248 

295 

3,223 

178 

71 

531 

1,103 

481 

185 

168 

203 

153 

680 

274 

4,057 
8,505 

138 
122 
190 
276 
38 
229 
1,460 
471 
124 
307 

1,816 


55 
29 
31 
12 

4 

44 

19 

554 

23 

7 
42 
96 
49 
16 
22 
35 
39 
95 
56 

614 
691 

14 

2 

32 

38 

35 

33 

147 

132 

10 

68 

406 

114 

4 

10 

173 








Calhoun 


4 


3 




Colbert 




Dale 


1 

2 
2 
2 
13 
3 
1 
3 
6 








4 

5 

5 

52 

2 

2 

5 

11 

13 

3 

5 

9 

1 


7 
5 
6 
153 
4 

5 

39 

13 

5 

4 

4 

14 

15 

6 

54 
120 




Etowah 




Houston 












Lawrence 








Mobile 




Montsomerv 








Russell 


1 
2 




St. Clair 




Shelby 






4 






42 
83 

5 
7 
7 
9 






14 
15 

6 

1 


35 




84 


ARKANSAS 


1 




15 
2 

12 
1 
4 

40 
4 
2 
2 

149 


3 


Faulkner 


1 




7 




1 
10 

1 






9 

45 

13 

8 

8 

24 


18 




40 






Sebastian 


6 




4 

7 


3 


CALIFORNIA 


36 










3 
18 


4 
34 


31 
1,041 


74 

1,177 

52 

19 

3,262 

115 

6 

1,196 

39 

3,281 

27 

31 

7,749 

114 

37 

13,908 

24 

190 

1,053 

35 

718 




Butte 


9 


104 






Rutte State Police 






1 
193 


13 

1,737 






6 


44 


20 

769 

1 

20 

188 

747 

91 

5 

1,015 

166 


54 


Contra Costa Highway Patrol 








1 
14 


2 
1,041 




El Dorado 


9 


15 


17 




17 


110 


173 


1,136 
6 
2 

1,556 
5 


2,461 


25 












1 
434 


12 
4,176 




Kern 


30 


169 


657 


Keni Highway Patrol 










1 
10,394 






215 


400 


4,664 


12,125 

178 

41 

243 


8,871 

578 

52 

13 

114 


669 










3 
13 


35 
47 


167 
348 


3 


Marin 


2 


16 








10 


28 


30 


194 
2 

1 
171 


686 


4 




165 














4 

1,447 

14 

557 






9 


52 


39 


1,006 


4 

150 

6 


88 






Napa 


4 


10 


16 


75 


292 


5 



128 



Table 8. — Number of Offenses Known to tbe Police, Suburban Counties, 1990 — Continued 



County by State 



Crime 
Index 
total 



Modified* 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 

vehicle 

theft 



Arson* 



CALIFORNIA— CoDtiniied 

Napa Highway Patrol 

Orange 

Orange Highway Patrol 

Orange State Police 

Placer 

Placer Highway Patrol 

Riverside 

Riverside Highway Patrol 

Riverside State Police 

Sacramento 

Sacramento Highway Patrol ... 

Sacramento State Police 

San Bernardino 

San Bernardino Highway Patrol 
San Bernardino State Police ... 

San Diego 

San Diego Highway Patrol 

San Diego State Patrol 

San Joaquin 

San Joaquin Highway Patrol .. 

San Joaquin State Police 

San Mateo 

San Mateo Highway Patrol 

San Mateo State Police 

Santa Barbara 

Santa Barbara Highway Patrol 

Santa Clara 

Santa Clara Highway Patrol ... 

Santa Clara State Police 

Santa Cruz 

Santa Cruz Highway Patrol ... 

Shasta 

Shasta Highway Patrol 

Shasta State Police 

Solano 

Solano Highway Patrol 

Solano State Police 

Sonoma 

Sonoma Highway Patrol 

Sonoma State Police 

Stanislaus 

Stanislaus Highway Patrol 

Stanislaus State Police 

Sutter 

Sutter Highway Patrol 

Tulare 

Tulare Highway Patrol 

Ventura 

Ventura Highway Patrol 

Ventura State Police 

Yolo 

Yolo Highway Patrol 

Yolo State Police 

Yuba 

Yuba Highway Patrol 

COLORADO 

Adams 

Arapahoe 

Boulder 

Douglas 

El Paso 

JefTerson 

Larimer 

Pueblo 

Weld 



102 




7,802 


7,908 


187 




26 


26 


3,151 


3,160 


224 




25,334 


25,444 


188 




26 


26 


33,372 


33,451 


5,861 




709 


710 


16,772 


16,867 


108 




68 


70 


26,754 


26,996 


139 




105 


106 


5,916 


6,011 


772 




71 


71 


3,611 


3,615 


17 




12 


12 


4,141 


4,182 


261 




3,005 


3,018 


223 




41 


44 


3,807 


3,823 


375 




2,014 


2,031 


170 




26 


26 


715 


731 


93 




2 


2 


4,017 


4,074 


551 




80 


80 


5,319 


5,460 


452 




6 


6 


1,120 


1,120 


35 




4,959 


5,273 


479 




1,950 


1,993 


43 




542 


548 


47 




12 


12 


2,187 


2,205 


104 





4,204 
3,373 
1,361 
1,104 
2,680 
5,370 
1,062 
765 
1,436 



4,254 
3,396 
1,383 
1,127 
2,697 
5,485 
1,071 
769 
1,447 



12 


42 






7 


45 


56 


91 






45 


273 




9 


42 


130 






45 


164 






22 


88 






8 


II 






2 


46 


5 


39 






4 


34 


3 


26 






4 


14 






10 


43 






12 


69 






2 


8 


12 


42 


2 


32 






4 


8 






2 


18 



149 
I 



31 

557 



1,291 



10 
358 



3 
754 



1 
172 



51 



4 
114 



603 

109 

3 

292 



2,496 
19 



3,086 

3 

72 

2,144 
5 
2 

2,450 

1 

2 

342 



332 
6 

368 
2 
6 

279 



123 

1 

2 

93 



1 
428 



7 

1,001 

3 



136 

867 



215 
5 



82 



I 
459 



1,850 



7 
963 



8,463 



9,205 



147 
5,842 



17 
7,962 



27 
2,363 



15 
1,024 



6 
1,573 



798 



17 
1,193 



783 



12 
306 



1 
1,394 



38 
1,733 



437 
1,243 



653 



179 



7 
604 



31 

4,199 

18 

14 

1,800 

66 

9,903 

8 

17 

19,241 

385 

420 

6,432 

3 

43 

10,597 

32 

61 

2,920 

81 

52 

1,738 



6 

2,134 
59 

1,711 
12 
17 

2,224 
66 

1,038 

26 

II 

275 

22 



2,084 

149 

24 

2,367 

37 

6 

481 



2,703 

67 

852 

12 

1 

261 

20 

2 

1,079 



263 


1,069 


2,419 


120 


1,003 


2,072 


66 


445 


724 


49 


284 


709 


206 


741 


1,557 


63 


1,284 


3,711 


19 


209 


797 


55 


207 


466 


92 


440 


796 



71 

947 

59 

2 

13 

158 

3,768 

161 

1 

231 

5,473 

51 

1,824 

100 

3 

4,782 

106 

14 

9 

691 

2 

698 

17 



24 

196 

53 

209 

1 

22 

309 

19 

143 

I 

6 

71 



7 

402 

7 

23 

412 



412 
174 
26 



5 
104 



339 

140 

67 

51 

121 

238 

35 

29 

73 



129 



Table 8. — Nnmber of Offenses Known to the Police, Suborban Counties, 1990 — Continued 



County by Sute 


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* 


DELAWARE 


7,793 
6,316 

508 
9,365 

12,679 
4,143 
8,069 
125,416 
4,270 
9,990 

34,227 
5,544 

31,268 
9,663 

12,808 

17,181 
3,639 
3,424 
6,341 

517 

1,731 

1,227 

3,291 

2,721 

2,558 

10,405 

371 

17,070 

222 

44,028 

25 

493 

2,270 

619 

1,781 

176 

10,008 

17,143 

393 

385 

303 

308 

1,059 

2,054 

1,400 

1,790 


7,847 
6,334 

511 

9.418 

12,721 

4,143 

8,104 

125,810 

4,287 

10,036 

34,235 

5,555 

31,417 

9,727 

12,893 

17,192 

3,653 

3,443 

6,365 

10,439 
17,146 
44,266 

10,031 
17,261 

1,798 


7 
3 


145 
53 

8 

55 

106 

24 

104 

802 

22 

68 

169 

30 

192 

53 

22 

55 

14 

33 

37 

2 
20 
10 
38 
28 
22 
69 


87 
252 

5 
157 
770 

68 

196 

8,368 

33 
318 
1,183 
109 
747 
124 
198 
455 

65 

55 
156 

2 
25 
29 
64 
28 
38 
246 


415 
339 

103 
652 

1,295 
416 
746 
10,747 
539 
933 

2,920 
362 

2,361 
632 

1,187 

1,700 
353 
265 
502 

43 
22 
55 

198 

197 
98 

448 
7 

607 
11 

911 
2 
17 

101 
16 
83 
22 

288 

536 
27 
11 
2 
26 
50 

112 

156 

69 

12 

71 

1 

195 

104 

16 


1,816 
750 

158 
2,434 
3,009 
1,067 
2,510 
29,017 
1,052 
2,927 
9,585 
2,227 
7,846 
2,496 
3,124 
5,608 
878 
1,074 
1,741 

186 
442 
322 
851 
807 
650 

2,474 
4 

3,521 

77 

10,074 

6 

184 

636 

204 

548 

24 

2,142 

3,429 
134 
136 
155 
118 
423 
568 
457 

440 

76 
376 

52 

1.377 

640 

70 

42 
126 
474 
318 
177 


4,533 
4.361 

199 
5.586 
6.157 
2.260 
3.998 

58.249 
2.442 
4.976 

17.235 
2.569 

17.289 
5.759 
7.657 
7.977 
2.135 
1,664 
3,320 

229 

1,048 

708 

1,935 

1,470 

1.556 

6,046 

359 

10.684 

94 

24.248 

14 

248 

1,257 

357 

1,025 

102 

5,350 

11,400 

183 

215 

131 

122 

497 

1,194 

623 

1,197 

206 

752 

53 

3,127 

2,390 

166 

107 

136 

534 

396 

321 


790 
558 

35 
474 

1,311 
307 
498 
18,020 
182 
763 

3,105 
245 

2,801 
589 
616 

1.352 
192 
328 
582 

54 

169 

101 

199 

186 

191 

1.113 

1 

1,722 

35 

6,566 

2 

23 

221 

39 

116 

16 

1,815 

1.378 

43 

22 

14 

34 

74 

154 

118 

60 

17 

51 

16 

615 

241 

13 

8 

1 

56 

61 

21 


54 


New Castle State Police 


18 


FLORIDA 


3 




7 
31 

1 

17 

213 


53 


Broward 


42 


Qav 




Collier 


35 


Dade 


394 




17 


Manatee 


5 

30 

2 

32 

10 

4 

34 

2 

5 

3 

1 
5 

2 
6 

5 
3 
9 


46 




8 




11 




149 


Pasco 


64 


Pinellas 


85 


Polk 


11 




14 


St Lucie 


19 


Seminole 


24 


GEORGIA 




Bibb 




Catoosa 
















Clavton Police Deoartnient 


34 








22 

1 

36 


130 

2 

344 


384 

2 

1,849 

1 

15 

34 

3 

5 

II 

343 

308 


76 


Dade 




DeKalb Police Denartment 


238 










6 
12 






9 












4 

1 

63 

80 

3 












7 

12 

2 

1 


23 




118 






Lee 








6 

6 

20 

25 

6 

1 
23 








2 
8 
6 
17 

17 






1 




Rockdale 






4 

I 




IDAHO 


8 




2 


Champaign 


1 


8 






Cook 


4 
3 

1 


63 
15 


40 


Dii Paae 


36 




4 






1 






3 
14 

17 
4 


9 

27 

118 

10 


2 


Ktot 




9 


Kankakee 


2 


17 




2 



130 



Table 8. — Number of Offenses Known to the Police, Suburban Counties, 1990 — Continued 



County by Sute 



Crime 
Index 
total 



Modified* 
Crime 
Inden 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 

vehicle 

theft 



Arson* 



ILLINOIS '— Continiied 

Lake 

McHenry 

McLean 

Macon 

Menard 

Monroe 

Peoria 

Rock Island 

St. Clair 

Sangamon 

Tazewell 

WiU 

Winnebago 

Woodford 

INDIANA 

Allen 

Allen Sute Police 

Qark 

Qark State Police 

Elkhart 

Elkhart State Police 

Hamilton 

Hamilton State Police 

Hancock 

Hancock State Police 

Harrison 

Harrison State Police 

Howard 

Howard State Police 

Lake 

Lake State Police 

Marion 

Marion State Police 

Monroe 

Monroe State Police 

Porter 

Porter State Police 

St. Joseph 

St. Joseph State Police 

Tippecanoe 

Tippecanoe State Police 

IOWA 

Black Hawk 

Bremer 

Dubuque 

Johnson 

Linn 

Polk 

Pottawattamie 

Scott 

Warren 

Woodbury 

KANSAS 

Butler 

Douglas 

Harvey 

Johnson 

Leavenworth 

Miami 

Sedgwick 

Shawnee 

Wyandotte 



2,523 


2,525 


179 


179 


328 


330 


204 


205 


2,191 


2,196 


121 


121 


745 


745 


62 


62 


499 


501 


47 


47 


505 


505 


140 


141 


472 


475 


44 


44 


2,028 


2,035 


387 


388 


20,253 


20,318 


557 


557 


203 


203 


124 


125 


925 


930 


92 


92 


2,583 


2,590 


183 


183 


850 


851 


110 


110 



297 
160 
365 
532 
639 
1,473 
279 
449 
428 
243 



552 

217 

60 

369 

277 

199 

2,006 

1,238 

71 



297 
161 
365 

533 
647 
1,488 
279 
450 

243 



17 



15 

2 

168 

14 



14 



2,032 



32 

2 

311 

6 



145 

33 

21 

22 

2 

6 

86 

6 

65 

118 

3 

242 

124 

3 



38 

246 

22 

20 

8 

4 

5 

113 

17 

44 

6 

114 

93 

391 

105 



36 

32 

12 

70 

108 

227 

50 

10 

13 

7 



21 
6 
1 

34 

20 

8 

218 

85 



965 


1,653 


508 


1,295 


203 


248 


150 


414 


25 


32 


51 


67 


298 


1,074 


81 


134 


366 


574 


410 


497 


73 


120 


743 


1,903 


661 


1,416 


44 


90 



672 
24 
78 
66 

578 
17 

320 
9 

190 
4 

163 
62 

130 
8 

297 
18 
4,063 
31 
70 
31 

126 
8 

613 
56 

212 
11 



87 

45 

39 

130 

198 

307 

106 

92 

172 

78 



1,589 
104 
230 

65 
1,275 

72 
335 

31 
268 

26 
208 

49 
268 

25 

1,088 

131 

1 3,696 

241 

127 

67 
696 

50 
1,784 

76 
574 

70 



162 
75 
298 
302 
298 
817 
83 
324 
223 
152 



290 


217 


78 


123 


28 


23 


128 


190 


120 


114 


89 


90 


573 


1,040 


398 


704 


II 


48 



274 
67 
13 
24 



4 

64 

4 

95 

62 

13 

296 

113 



186 

29 

18 

29 

63 

8 

59 

13 

35 

10 

16 

7 

26 

5 

482 

141 
1,607 

160 

6 

15 

65 

18 

109 
24 
31 
15 



18 
7 
4 

10 

16 

9 

127 

30 
3 




131 



Table 8. — Number of Offenses Known to the Police, Suburban Counties, 1990 — 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* 



KENTUCKY 

Boone 

Boone Police Department 

Boone State Police 

Bourbon 

Bourbon State Police 

Boyd 

Boyd Police Department 

Boyd State Police 

Bullitt 

Bullitt Sute Police 

Campbell Police Department 

Campbell State Police 

Carter 

Carter State Police 

Christian 

Christian Police Depariment 

Christian State Police 

Clark 

aark State Police 

Daviess 

Daviess State Police 

Fayette State Police 

Greenup 

Greenup State Police 

Henderson 

Henderson State Police 

Jefterson Police Department 

JefTerson State Police 

Jessamine 

Jessamine State Police 

Kenton Police Department . 

Kenton State Police 

Oldham 

Oldham Police Department 

Oldham State Police 

Scott 

Scott State Police 

Shelby 

Shelby State Police 

Woodford Police Department 
Woodford State Police 

LOUISIANA 

Ascension 

Bossier 

Caddo 

Calcasieu 

East Baton Rouge 

Jefferson 

Lafayette 

LaFourche 

Livingston 

Ouachita 

St. Charles 

St. Martin 

St. Tammany 

Terrebonne 

West Baton Rouge 

MAINE 

Androscoggin 

Androscoggin State Police .. 

Cumberland 

Cumberland State Police ... 



g« 


86 


1.003 


1,003 


37 


39 


49 


49 


101 


101 


46 


46 


3 


3 


218 


224 


295 


295 


124 


129 


253 


254 


18 


18 


15 


15 


179 


186 


345 


345 


71 


71 


48 


50 


245 


247 


73 


74 


237 


237 


252 


256 


9 


9 


85 


85 


142 


154 


301 


303 


124 


127 


15,045 


15,099 


13 


13 


251 


252 


61 


66 


328 


332 


32 


32 


6 


6 


360 


364 


74 


74 


361 


363 


24 


25 


154 


154 


179 


180 


216 


216 


7 


7 



1,123 

737 

1,687 

5,148 

9,060 

30,491 

1,997 

822 

917 

1,644 

2,007 

562 

3,973 

1,965 

617 



243 

69 

732 

112 



1.124 

739 

1.688 

5,156 

9,076 

30,657 

2,006 

822 

921 

1,650 

2,017 

563 

3,991 

1,990 

617 



244 

69 

734 

112 



13 



9 

5 

14 
51 
46 
179 
21 
12 

6 
18 
10 

8 
40 
17 

2 



143 



23 

7 
12 
79 
110 
1,273 
41 
23 
II 

6 
41 

4 
57 
35 

5 



22 
44 
32 
13 
10 
7 

14 

23 

1 

1 

16 

8 

28 

426 

5 

2 

10 

34 

6 

1 

22 

II 

16 

2 

4 

34 

36 

I 



85 

43 
182 
625 
391 
1,739 
227 

85 
239 

84 
583 

40 
318 
180 

29 



17 

203 

8 

22 

44 

8 

I 

77 

113 

28 

84 

1 

7 

90 

101 

9 

11 

106 

19 

79 

78 



46 

52 

96 

39 

2,763 



75 

18 

133 

3 



107 
11 
83 
9 
36 
48 
74 



280 

172 

546 

1,241 

1,980 

6,094 

604 

208 

505 

510 

394 

195 

1,161 

650 

75 



HI 
33 

283 
49 



53 
699 

15 

21 

32 

30 

1 

105 

145 

43 

126 

7 

6 

41 

169 

21 

11 

114 

44 

128 

132 

5 

32 

43 

186 

40 

10,950 

7 

155 

19 

122 

13 

5 

215 

47 

235 

6 

100 

37 

90 

5 



674 

497 

846 

2.952 

5,964 

18,115 

992 

438 

140 

984 

884 

300 

2,178 

1,028 

485 



115 

30 

384 

47 



15 
15 

1 

4 
16 

9 

9 
688 

1 
18 

5 
32 

6 



51 
9 

84 

192 

561 

3,042 

108 

49 

11 

40 

94 

14 

212 

50 

19 



132 



Table 8. — Number of Offenses Known to the Police, Suburban Counties, 1990 — 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 



MARVIAND 

Allegany 

Allegany State Police 

Allegany County Investigator 

Anne Arundel Police Department 

Anne Arundel State Police 

Baltimore Police Department 

Baltimore Sute Police 

Calvert 

Calvert Sute Police 

Carrol] 

Carroll Sute Police 

Cecil 

Cecil Sute Police 

Charles 

Charles Sute Police 

Fredericic 

Frederick Sute Police 

Harford 

Harford Sute Police 

Howard 

Howard Sute Police 

Montgomery 

Montgomery Police Department .. 

Montgomery Sute Police 

Prince Georges Police Department 

Prince Georges Sute Police 

Queen Anne's 

Queen Anne's Sute Police 

Washington 

Washington Sute Police 

MASSACHUSETTS 

Berkshire Sute Police 

Hampden Sute Police 

Hampshire Sute Police 

Plymouth Sute Police 

Worcester Sute Police 

MICHIGAN 

Bay 

Bay Sute Police 

Berrien 

Berrien Sute Police 

Calhoun 

Calhoun Sute Police 

Qinton 

Clinton Sute Police 

Eaton 

Eaton Sute Police 

Genesee 

Genesee Sute Police 

Ingham 

Ingham State Police 

Jackson 

Jackson State Police 

Kalamazoo 

Kalamazoo Sute Police 

Kent 

Kent Sute Police 

Lapeer 

Lapeer Sute Police 

Livingston 

Livingston Sute Police 

Macomb 

Macomb Sute Police 

Midland 

Midland Sute Police 



62 

604 

2 

16.528 

1,358 

41,827 

113 

511 

562 

41 

1,640 

575 

1,269 

4,032 

511 

927 

1,254 

2,953 

885 

8,130 

157 

2 

29,615 

48 

44,370 

246 

287 

606 

764 

555 



110 
49 
49 

129 
40 



733 

1,033 

1,117 

1,024 

484 

282 

403 

13 

2,743 

279 

478 

738 

1,302 

320 

928 

566 

2,416 

60 

4,141 

797 

1,174 

270 

832 

1.167 

2,198 

557 

804 

20 



62 

614 

2 

16,679 

1,358 

42,258 

113 

511 

573 

41 

1,656 

575 

1,320 

4,032 

560 

927 

1,295 

2,953 

930 

8,130 

221 

2 

30,015 

48 

44,698 

246 

287 

620 

764 

585 



110 
49 
49 

129 
40 



734 

1,042 

1,127 

1,034 

487 

286 

405 

16 

2,753 

283 

483 

743 

1.316 

323 

968 

576 

2.436 

62 

4.154 

806 

1.178 

277 

838 

1.181 

2.200 

568 

808 

20 



23 
106 



108 
6 

257 
2 
5 
3 



195 



441 
2 
I 
3 
3 
4 



325 

16 

1,707 

1 

4 

7 



807 

2 

3.606 

4 



37 



653 

75 

4.959 

19 

37 

85 

3 

57 

98 

185 

448 

61 

108 

198 

191 

110 

405 

28 

2 

1,064 

9 

3,373 

32 

25 

67 

55 

30 



30 

42 

78 

88 

45 

24 

21 

2 

163 

8 

61 

82 

116 

7 

105 

138 

80 

3 

124 

9 

103 

21 

75 

54 

121 

25 

99 

I 



15 
148 



3,669 

102 

7,812 

1 

137 

128 

11 

427 

181 

377 

764 

71 

154 

242 

900 

185 

1,795 

7 



4,778 

4 

8,569 

10 

80 

163 

164 

157 



44 

332 

2 

9,909 

931 

22,021 

70 

267 

315 

26 

1,033 

242 

594 

2,331 

294 

614 

716 

1,643 

447 

4,803 

96 



19,788 
31 

19,317 
131 
177 
326 
502 
315 



130 


525 


229 


671 


313 


584 


251 


580 


147 


262 


80 


145 


79 


263 


1 


7 


533 


1,829 


29 


200 


112 


253 


193 


336 


251 


829 


13 


251 


207 


551 


124 


242 


420 


1,763 


8 


41 


824 


2,919 


186 


559 


336 


678 


70 


125 


172 


507 


325 


708 


524 


1,364 


125 


340 


164 


511 


6 


12 



1,854 

227 

5,037 

20 

60 

24 

I 

94 

36 

91 

376 

73 

40 

61 

150 

106 

980 

17 



2,960 

2 

8,958 

67 

4 
37 
37 
41 



28 
49 
77 
53 
19 
21 
19 
3 

159 
12 
36 
69 
63 
11 
30 
26 

104 
7 

174 
30 
51 
17 
57 
50 

153 

51 

15 

1 



133 



Table 8. — Number of Offenses Known to the Police, Suburban Counties, 1990 — Continued 



County by State 



Crime 
Index 
total 



Modified* 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 

vehicle 

theft 



MICHIGAN— Contintted 

Monroe 

Monroe State Police 

Muskegon 

Muskegon State Police 

Oakland 

Oakland State Police 

Ottawa 

OtUwa State Police 

Saginaw 

Saginaw State Police 

St. Clair 

St. Clair State Police 

Washtenaw 

Washtenaw State Police 

Wayne 

Wayne State Police 

MINNESOTA 

Anoka 

Benton 

Carver 

Chisago 

Clay 

DakoU 

Hennepin 

Isanti 

Olmsted 

Ramsey 

St. Louis 

Scott 

Sherburne 

Steams 

Washington 

Wright 

MISSISSIPPI 

Harrison 

Hinds 

Madison 

Rankin 

MISSOURI 

Boone 

Buchanan 

Christian 

Clay 

Franklin 

Greene 

Jackson 

Jasper 

JefTerson 

Lafayette 

Platte 

St. Charles 

St. Louis Police Department . 

MONTANA 

Yellowstone 

NEBRASKA 

Dakota 

Douglas 

Douglas State Patrol 

Lancaster 



3,841 
868 

1,155 
337 

6,848 
533 

2,484 
184 

1,479 
706 

1,968 
488 

4,350 
649 
581 
262 



745 



133 

1,760 

12 

594 



3,876 
882 

1,160 
338 

6,923 
547 

2,496 
186 

1,479 
712 

2,002 
508 

4,393 
659 
588 
284 



455 


465 


311 


315 


252 


252 


998 


999 


158 


159 


198 


202 


241 


245 


463 


463 


487 


497 


166 


166 


853 


866 


347 


349 


422 


423 


833 


834 


672 


682 


1,304 


1,320 


2,380 


2,411 


607 


611 


575 


581 


833 


850 



731 




161 


162 


414 


415 


188 


188 


1,305 


1,305 


1,519 


1,525 


803 


807 


654 


654 


3,423 


3,474 


129 


129 


455 


457 


2,196 


2,208 


14,360 


14,477 



747 



133 



12 
605 



101 

2 

17 

9 



9 
208 



284 


679 


2,539 


46 


189 


521 


39 


261 


754 


25 


51 


231 


413 


1,214 


4,577 


69 


168 


230 


73 


428 


1,830 


4 


44 


120 


177 


233 


966 


95 


156 


371 


no 


433 


1,265 


31 


139 


277 


371 


863 


2,661 


42 


111 


266 


31 


6 


393 


57 


31 


83 



117 
14 
43 

22 



119 

23 

2 

18 

114 

42 

SI 

2 

241 

6 

44 

345 

1,046 



164 

54 

43 

192 

48 

75 

47 

165 

178 

28 

387 

67 

113 

181 

180 

248 



1,184 
346 
193 
396 



185 

49 

159 

59 

487 

438 

237 

214 

1,286 

44 

150 

444 

2,931 



159 



29 

294 

I 

162 



210 
211 
171 

677 
88 
88 
132 
231 
260 
130 
366 
237 
238 
578 
412 
907 



718 
199 

275 
342 



399 

76 

234 

90 

581 

953 

456 

377 

1,653 

61 

229 

1,273 

9,067 



497 



89. 

1,315 

5 

389 



260 

76 

70 

IS 

505 

35 

90 

8 

82 

43 

105 

24 

279 

142 

145 

59 



53 
34 
22 
94 

8 
22 
IS 
51 
30 

7 
59 
34 
42 
54 
63 
86 



214 
40 
28 
60 



22 
7 

15 
15 

100 
66 
49 
41 

177 
15 
27 

103 
1,016 



58 



59 

3 
26 



134 



Table 8. — Number of Offenses Known to the Police, Suburban Counties, 1990 — 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 



NEBRASKA— Continued 



Lancaster State Patrol 

Sarpy 

Saipy State Patrol 

Washington 

asbington State Patrol 



NEVADA 



Washoe 



NEW JERSEY 



Atlantic State Police .... 

Bergen State Police 

Burlington State Police . 

Camden State Police 

Cape May State Police . 
Cumberland State Police 

Essex County Police 

Essex State Police 

Gloucester State Police . 
Hudson State Police .... 
Hunterdon State Police . 

Mercer State Police 

Middlesex State Police .. 
Monmouth State Police . 

Morris State Police 

Ocean State Police 

Passaic State Police 

Salem State Police 

Somerset State Police ... 

Sussex State Police 

Union State Police 

Warren Slate Police 



NEW MEXICO 



Dona Ana 



NEW YORK 



Albany 

Albany State Police 

Broome 

Broome State Police 

Chautauqua 

Chautauqua State Police 

Chemung 

Chemung State Police 

Dutchess 

Dutchess State Police ... 

Erie 

Erie State Police 

Greene State Police 

Herkimer State Police .. 

Livingston 

Livingston State Police . 

Madison 

Madison State Police ... 

Monroe 

Monroe State Police 

Nassau 

Nassau State Police 

Niagara 

Niagara State Police .... 

Oneida 

Oneida State Police 

Onondaga 

Onondaga State Police .. 



62 

822 

5 

116 

2 



1,839 



1,535 
395 
753 

60 

512 

1,067 

590 

98 

25 

63 
267 
351 
148 
353 

61 
163 

22 
406 

21 
640 

51 
309 



1,871 



62 
822 

5 
120 

2 



1,839 



1,545 
396 
766 

62 

515 

1,095 

597 

102 

26 

63 
269 
352 
149 
354 

62 
164 

23 
426 

23 
650 

52 
316 



1,879 



113 


114 


766 


770 


1,007 


1,021 


705 




1,069 


1,095 


495 


496 


408 


409 


423 




1,109 


1,129 


1,177 


1,183 


2,245 




1,064 


1,075 


710 


712 


536 


546 


734 


734 


202 


203 


118 


119 


493 


498 


5,791 


5,809 


1,173 


1,175 


31,918 


32,256 


46 


47 


2,079 


2,079 


668 


676 


591 


595 


1,453 


1,466 


3,769 


3,798 


1,659 





34 



29 



19 



37 
4 

13 
2 

10 

8 

112 

10 



19 



1 
3 

58 

4 

1,014 

4 

35 
2 
4 
4 

47 
6 



151 



56 
23 
63 
15 
31 
127 
125 
24 

4 

4 
12 

7 

16 
31 

7 
16 



128 



19 
23 
21 
19 

13 

29 

26 

67 

47 

174 

277 

104 

98 

21 

54 

18 



32 

75 

4 

859 

20 
124 

34 
5 

55 
102 

10 



3 
167 



33 



590 



122 

45 

221 

14 

200 

293 

81 

4 

4 

5 

88 

32 

2 

72 

8 

22 



137 
4 

194 
6 

106 



913 



20 

114 

257 

194 

239 

84 

92 

70 

283 

369 

339 

191 

237 

272 

169 

36 

52 

134 

764 

70 

5,207 

5 

408 

102 

174 

304 

660 

212 



38 

575 

4 

75 



882 



1,254 
243 
366 

26 
238 
519 
202 

43 

12 

48 
137 
271 
103 
21S 

38 
109 

15 

183 

6 

326 

24 
142 



674 



69 

380 

665 

469 

798 

366 

269 

273 

690 

544 

1.510 

706 

343 

226 

492 

137 

61 

315 

4,499 

1,038 

17,573 

15 

1,376 

494 

367 

1,055 

2,747 

1,356 



161 



106 



4 

40 

52 

12 

5 

13 

13 

11 

73 

63 

94 

56 

27 

11 

7 

7 

4 

5 

366 

51 

7,181 

1 

112 

34 

37 

31 

183 

70 



135 



Table 8. — Nmnber of Offenses Known to the Police, Suburban Counties, 1990 — Continued 



County by State 



Crime 
Index 
total 



Modified* 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 

vehicle 

theft 



NEW YORK— Contiiiiwd 

Ontario 

Ontario State Police 

Orange 

Orange State Police 

Orleans 

Orleans State Police 

Oswego 

Oswego State Police 

Putnam 

Putnam State Police 

Rensselaer 

Rensselaer State Police 

Rockland 

Rockland SWte Police 

Saratoga 

Saratoga State Police 

Schenectady 

Schenectady State Police 

Suffolk 

Suffolk Police Department .... 

Suffolk State Police 

Tioga 

Tioga State Police 

Warren 

Warren Sute Police 

Wayne 

Wayne Suie Police 

Westchester 

Westchester State Police 

NORTH CAROLINA 

Alamance 

Alexander 

Buncombe 

Burke 

Cabarrus 

Catawba 

Cumberland 

Davidson 

Davie 

Durham 

Forsythe 

Franklin 

Gaston 

Guilford 

Lincoln 

Mecklenburg 

New Hanover 

Onslow 

Orange 

Randolph 

Rowan 

Stokes 

Union 

Wake 

Yadkin 

NORTH DAKOTA 

Burleigh 

Cass 

Grand Forks 

Morton 

OHIO 

Auglaize 

Clark' 

See footnote al end of table. 



1,258 


1,265 


494 


494 


2 


2 


1,589 




298 




89 


89 


863 


913 


629 


632 


600 


604 


207 


208 


346 




789 


795 


114 


114 


93 


93 


1,229 


1,245 


954 


956 


12 


12 


121 


121 


140 


140 


53,748 


55,232 


93 


93 


357 




155 


157 


1,215 


1,219 


317 


319 


917 


923 


602 


606 


581 


585 


791 


806 



1,061 


1,068 


545 


545 


2,745 


2,768 


1,177 


1,180 


1,022 


1,026 


1,776 


1,781 


11,214 


11,296 


2,061 


2,088 


516 


517 


1,162 


1,168 


1,834 


1,939 


609 


612 


3,160 


3,198 


3,210 


3,242 


1,334 


1,354 


5,037 


5,064 


2,611 


2,614 


2,557 


2,584 


1,201 


1,201 


1,680 


1,680 


1,886 


1,901 


714 


720 


1,569 


1,571 


2,935 


3,001 


386 


387 



123 
105 
125 
164 



314 



123 
105 
125 
166 



314 



2 
128 
5 
1 
2 
9 
2 
7 
6 
4 
3 



7 

1,419 

3 

2 



14 

1 

21 

13 

13 

3 

246 

17 

3 

16 

18 

6 

39 

26 

12 

79 

26 

36 

13 

13 

14 

2 

9 

23 



92 
39 
18 
25 
17 
30 
17 
41 
52 
25 

5 
41 
41 

I 

5 

102 

1,433 

17 

76 

9 



3 

16 

26 

23 

131 



16 



319 
82 



346 

74 

40 

214 

187 

150 

76 

99 

209 



II 

305 

264 

8 

39 

14 

11,158 

24 

91 

43 

290 

54 

252 

156 

27 

172 



105 
429 



829 
388 
2 
982 
161 

24 
580 
409 
366 
102 
191 
487 

86 

44 

837 

607 

1 

72 

10 
31,816 

41 
167 

91 
884 
247 
607 
383 
430 
379 



66 


386 


520 


5 


271 


241 


112 


1,096 


1,282 


70 


519 


496 


11 


424 


511 


356 


548 


763 


548 


3,362 


6,167 


76 


978 


824 


25 


212 


227 


152 


265 


642 


100 


778 


821 


40 


325 


204 


160 


1,375 


1,393 


253 


1,082 


1,681 


72 


523 


633 


300 


1,605 


2,840 


138 


804 


1,526 


49 


853 


1,489 


16 


425 


663 


88 


808 


697 


121 


655 


959 


76 


238 


343 


74 


603 


794 


134 


1,140 


1,359 


6 


151 


199 



74 

82 

70 

114 



167 
1,897 



37 
7 



121 
19 

5 
33 

7 
44 
II 
12 
31 

2 
30 
30 
28 



4 

5 
7,762 

3 
19 

9 
28 
10 
26 
20 
78 
94 



60 

23 

207 

64 

57 

89 

774 

145 

48 

76 

100 

31 

171 

139 

85 

180 

109 

104 

68 

70 

118 

52 

81 

253 

27 



11 
6 
12 

7 



18 
216 



136 



Table 8. — Number of Offenses Known to the Police, Suburban Counties, 1990 — 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* 



OHIO— Continued 

Oermont 

Delaware 

Franklin 

Fulton 

Geauga 

Greene 

Hamilton 

Jefferson 

Lake 

Licking 

Lorain 

Lucas 

Montgomery 

Richland 

Union 

Washington 

Wood 

OKLAHOMA 

Canadian 

Cleveland 

Comanche 

Creek 

Garfield 

Logan 

McCIain 

Oklahoma 

Osage 

Pottawatomie 

Rogers 

Sequoyah 

Tulsa 

Wagoner 

OREGON 

Oackamas 

Clackamas State Police .... 

Jackson 

Jackson State Police 

Lane 

Lane State Police 

Marion 

Marion State Police 

Multnomah 

Multnomah State Police ... 

Polk 

Polk State Police 

Washington 

Washington State Police ... 

Yamhill 

Yamhill State Police 

PENNSYLVANIA 

Allegheny State Police 

Beaver State Police 

Berks State Police 

Bucks State Police 

Cambria State Police 

Carbon State Police 

Centre State Police 

Chester Detective 

Chester State Police 

Columbia State Police 

Cumberland State Police 
Dauphin State Police 



1,256 

674 

5.256 

396 

441 

337 

7,905 

524 

922 

1,332 

1.335 

2,022 

4,453 

1,372 

411 

583 

595 



242 
382 
257 
795 
106 
384 
261 
297 
376 
584 
424 
337 
2,403 
436 



7,126 

118 

1,451 

215 

1,318 

566 

3,139 

281 

3,267 

91 

369 

11 

3,885 

31 

682 

4 



623 
278 
620 
491 
277 
447 
840 
17 
1,618 
191 
517 
782 



1,264 
674 

5,287 

399 

441 

338 

7,952 

525 

929 

1,343 

1,344 

2,045 

4,492 

1,373 

414 

588 

600 



243 
399 
258 
831 
106 
398 
266 
300 
381 
590 
425 
343 
2,421 
438 



7,137 

152 

1,459 

218 

1,328 

592 

3,149 

304 

3,295 

91 

373 

12 

3,908 

42 

685 

5 



634 
283 
623 
497 
290 
447 
857 
17 
1,644 
191 
524 
808 



7 

5 

157 

1 

2 

1 

123 

I 

5 

8 

35 

22 

139 

12 



123 

2 

8 

4 

11 

11 

60 

2 

62 

3 

6 



73 



50 


371 


747 


3 


197 


423 


134 


1,137 


3,279 


42 


104 


226 


14 


72 


306 


47 


84 


194 


131 


1,027 


6,177 


29 


129 


309 


12 


187 


664 


124 


314 


794 


305 


390 


512 


39 


375 


1,399 


84 


1,119 


2,525 


121 


384 


780 


50 


72 


256 


7 


196 


343 


14 


168 


363 



II 

28 
31 
65 

7 
26 
31 
19 
16 
70 
18 

9 

354 

18 



121 
21 

156 
38 
52 
68 

371 
44 

272 

2 

43 



104 

37 
34 
33 
31 
22 
58 
1 
108 



101 


113 


191 


134 


68 


138 


330 


294 


47 


50 


151 


180 


126 


85 


128 


122 


178 


154 


255 


218 


201 


142 


178 


116 


683 


1,057 


196 


190 



1,702 

17 

336 

42 

401 

188 

612 

34 

844 

2 

116 

3 

1,172 

5 

179 



160 
96 

242 
124 

97 

241 

289 

1 

595 

75 
132 
161 



4.428 

52 

852 

91 

772 

196 

1,873 

158 

1,717 

63 

170 

6 

2,242 

17 

416 

2 



203 
112 
266 
266 
108 
164 
427 
3 
690 
105 
276 
456 



47 
43 

488 
20 
44 
10 

393 
55 
47 
91 
67 

165 

522 
74 
32 
27 
45 



10 

21 
19 
95 
1 
20 
16 
19 
19 
27 
55 
25 
226 
25 



690 
19 
80 
27 
68 
84 

191 
30 

334 

14 

29 

1 

328 

3 

49 

1 



104 
27 
55 
54 
31 
14 
46 
1 

176 

9 

50 

60 



137 



Table 8. — Number of Offenses Known to the Police, Soburban Counties, 1990 — 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* 


PENNSYLVANU— ContiBued 

Delaware Criminal Investigation 


39 

1,230 

1,488 

2,019 

231 

365 

929 

735 

971 

387 

1,373 

419 

388 

597 

8 

789 

46 

2,535 

770 

51 
148 
373 

3,762 
4,755 
3,260 
7,942 
2,157 
3,569 

11,610 
6,303 
1.256 
8,532 

11,056 
3,718 

398 

727 

557 
364 

1,780 
224 

5,958 
722 
544 
568 

5.336 

1,715 
834 
207 
869 

862 
8.352 

685 
1.669 


40 

1,241 

1.513 

2.203 

300 

367 

941 

795 

1.000 

398 

1.392 

433 

389 

604 

8 

833 

46 

2.609 

793 

148 
376 

3.804 
4.840 
3.284 
8.002 
2.165 
3.595 

11.719 
6.330 
1,264 
8,581 

11,167 
3,758 

399 
733 

380 
1,820 

224 
6,112 

732 

570 
5,353 

845 
211 
894 

919 
8,428 

697 
1,677 




12 

7 

20 

25 

6 

8 

9 

11 

10 

6 

14 

7 

3 

7 


4 

14 

10 

38 

4 

2 

II 

10 

13 

2 

9 

7 

2 

5 


17 
28 
53 
264 
23 
18 
51 
64 
16 
12 
38 
54 

7 
53 

4 
37 

3 

110 

15 

8 
35 
51 

482 
469 
274 

1,155 
239 
513 

1,356 
696 
157 

1,123 

1,616 
527 

19 

43 

25 

II 

125 


5 
220 
420 
739 
101 
125 
280 
229 
354 
124 
637 
101 
123 
267 

334 

773 
363 

15 

8 

119 

1,320 
1,477 

871 
1,815 

444 
1,167 
2,842 
1,576 

359 
2,018 
2,387 
1,145 

115 
144 

227 

91 

694 

88 

1,754 

207 

184 

166 

1,510 

534 

258 

77 

316 

278 

2,740 

250 

554 


1 
753 
889 
663 

76 
171 
499 
356 
478 
202 
562 
210 
220 
220 
4 
308 

41 

1,207 

322 

17 

80 

157 

1.507 
2,347 
1.805 
4.157 
1.278 
1.536 
6.287 
3,437 
651 
3,513 
6,150 
1,743 

246 

475 

251 
214 
795 
112 

3,655 
404 
263 
294 

2,648 

894 

427 

83 

432 

424 

4,072 

307 

682 




1 






208 
94 

284 
20 
41 
79 
61 
99 
41 

107 
37 
33 
43 


11 




2 
6 

1 


25 




184 


Lackawanna State Police 


69 




2 


Lehieh State Police 




12 


Luzerne State Police 


4 

1 


60 


Lvcomins State Police 


29 




II 




6 
3 


19 


MontBomerv State Police 


14 




I 


Somerset State Police 


2 


7 










10 

32 
4 


12 


88 


44 




1 

2 
3 






30 

7 


381 
56 

11 

23 
31 

308 
346 
241 
552 
137 
242 
710 
425 
58 
1,123 
600 
220 

13 
35 

48 
39 

129 
17 

254 
29 
23 
39 

691 

130 
51 
26 
72 

53 

965 

63 

111 


74 




23 


RHODE ISLAND 








1 
13 

55 
40 
35 
83 
30 
47 
97 
50 
19 
154 
91 
34 

4 

25 

I 

5 
10 

5 

16 
12 

5 


I 
1 

72 

69 

29 

171 

28 

54 

304 

112 

9 

578 

202 

40 

5 

3 
2 

21 
2 

86 

II 

3 

2 

105 

14 
2 

3 

6 
87 

9 
19 




WasbingtOD State Police 


1 

18 

7 

5 

9 

1 

10 

14 

7 

3 

23 

10 

9 


3 


SOUTH CAROUNA 

Aiken 


42 


Anderson 


85 


Berkeley 


24 


Charleston Police DcDartment 


60 




8 


Florence 


26 


Greenville 


109 




27 




8 


Richland 


49 




111 


York 


40 


SOUTH DAKOTA 


1 






6 


TENNESSEE 


2 
2 
6 






16 


Hamilton 


40 








13 

3 


180 
56 
66 
63 
293 
129 
81 
20 
40 

72 
422 

42 
288 


154 


Madison 


10 






Robertson 


4 
4 
3 
2 


2 


Shelby 


85 
11 
13 


17 






Sumner 


II 




4 




1 

4 

13 

5 

5 


5 

25 

53 

9 

10 


25 


TEXAS 

Bell 


57 


Bexar 


76 




12 


Brazoria 


8 



138 



Table 8. — Number of Offenses Knoini to the Police, Suburban Counties, 1990 — Continued 



County by Stale 



Crime 
Index 
total 



Modified* 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
then 



Motor 

vehicle 

theft 



TEXAS— ContiniMd 

Brazos 

Cameron 

CoUin 

Comal 

Coryell 

Dallas 

Denton 

Ector 

Ellis 

EI Paso 

Fort Bend 

Galveston 

Grayson 

Gregg 

Guadalupe 

Hardin 

Harris 

Harrison 

Hays 

Hidalgo 

JefTerson 

Johnson 

Kaufman 

Liberty 

Lubbock 

McLeiman 

Midland 

Montgomery 

Nueces 

Orange 

Parker 

Potter 

Randall 

Rockwall 

San Patricio 

Smith 

Tarrant 

Taylor 

Tom Green 

Travis 

Victoria 

Waller 

Webb 

Wichita 

Williamson 

UTAH 

Davis 

Salt Lake 

Utah 

Weber 

VIRGINU 

Alt>emarle Police Department 

Albemarle Sute Police 

Amherst 

Amherst State Police 

Botetourt 

Botetourt State Police 

Campbell 

Campbell Sute Police 

Charies City 

Charles City Sute PoUce 

Chesterfield Police Department 

Chesterfield Sute Police 

Dinwiddie 

Dinwiddie Sute Police 



290 


290 


1,806 


1.826 


839 


844 


785 


787 


187 


190 


700 


744 


955 


958 


2,093 


2,109 


919 


920 


2,463 


2,477 


3,264 


3,336 


1,074 


1,083 


1,053 


1,065 


681 


686 


613 


613 


393 


396 


42,621 


43,139 


553 


554 


783 


784 


4,422 


4,437 


612 


616 


972 


975 


954 


956 


683 


685 


796 


805 


928 


933 


849 


852 


6,561 


6,673 


294 


295 


770 


774 


1,053 


1,062 


219 


221 


276 


278 


153 


155 


576 


577 


2,255 


2,282 


1,843 


1,869 


180 


183 


378 


378 


4,799 


4,817 


520 


521 


198 


202 


291 


292 


255 


266 


1,951 


1,961 



230 

16,958 

358 

786 



17,024 
786 



1,678 


1,678 


15 


17 


621 


627 


16 


16 


401 


401 


13 


14 


844 


850 


21 


21 


60 


60 


17 


17 


8,454 


8,543 


60 


60 


372 


372 


II 


11 



6 

210 

25 

4 

29 

8 

2 

4 

3 

24 

8 

13 

35 

7 

4 

14 

6 

4 

1 



16 



1 


1 


1 


5 


3 


16 




I 






11 


54 


5 


3 



49 

50 

20 

4 

12 

3 

2 

1,469 

4 

3 

62 

4 

3 

3 

4 

8 

8 



3 

155 

56 

23 

12 

193 

76 

15 

196 

243 

lOI 

65 

25 

82 

9 

50 

2,004 

42 

67 

201 

27 

43 

48 

99 

91 

51 

44 

382 

13 

27 

49 

29 

18 

10 

20 

135 

181 

13 

92 

139 

24 

15 

45 

25 

165 



10 

858 
21 
20 



138 

1.095 

340 

315 

72 

179 

374 

530 

409 

912 

1.304 

474 

506 

227 

307 

130 

12,185 

189 

292 

2.641 

219 

432 

365 

296 

236 

407 

296 

1.938 

99 

311 

492 

51 

85 

67 

234 

676 

634 

69 

111 

1,559 

180 

100 

113 

106 

481 



59 

2,651 

97 

183 



306 

3 

84 



71 



136 
2 
19 



183 

4 

37 

12 

1,573 

II 

128 



139 
477 
383 
389 
86 
269 
417 

1,395 
296 

1,053 

1,462 
424 
457 
308 
276 
193 
17,568 
289 
381 

1,247 
300 
408 
461 
234 
396 
420 
465 

3,607 
158 
368 
466 
120 
153 
55 
297 

1,257 

886 

90 

157 

2.692 

293 

59 

96 

99 

1,164 



144 

12,707 

209 

532 



1,195 

10 

442 

9 

300 

10 

527 

II 

16 

3 

6.236 

39 

187 

10 



9 
46 
45 
50 
15 
38 
74 

106 
12 

162 

329 
77 
47 
40 
18 
12 
9.111 
3 
32 

225 
53 
82 
70 
46 
41 
31 
31 

534 
14 
46 
25 
12 
14 
19 
25 

127 

113 
2 
II 

297 
9 
15 
29 
14 
98 



4 

551 

18 

40 



84 
I 

15 
4 

18 
2 

31 
6 
3 
2 
349 
6 

21 
I 



139 



Table 8. — Number of Offenses Known to the Police, Suburban Counties, 1990 — 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 



VIHGINU— Continued 

Fairfax Police Department 

Fairfax State Police 

Fluvanna 

Fluvanna State Police 

Gloucester 

Gloucester State Police 

Goochland 

Goochland State Police 

Greene 

Greene State Police 

Hanover 

Hanover State Police 

Henrico Police Department 

Henrico State Police 

James City Police Department ... 

James City State Police 

Loudoun 

Loudoun State Police 

New Kent 

New Kent State Police 

Pittsylvania 

Pittsylvania State Police 

Powhatan 

Powhatan State Police 

Prince George 

Prince George State Police 

Prince William Police Department 

Prince William State Police 

Roanoke Police Department 

Roanoke State Police 

Scott 

Scott State Police 

Stafford 

Stafford State Police 

Washington 

Washington State Police 

York 

York State Police 

WASHINGTON 

Benton 

Clark 

Franklin 

King 

Kitsap 

Pierce 

Snohomish 

Spokane 

Thurston 

Whatcom 

Yakima 

WEST VIRGINIA 

Brooke 

Brooke State Police 

CabeU 

Cabell State Police 

Hancock 

Hancock State Police 

Kanawha 

Kanawha State Police 

Marshall 

Marshall State Police 

Mineral 

Mineral State Police 

Ohio 

Ohio State Police 



27,208 


27,406 


44 


44 


102 


105 


3 


3 


600 


605 


26 


26 


232 


232 


5 


5 


160 


161 


2 


2 


1,267 


1,267 


74 


74 


10,084 


10,180 


44 


44 


1,192 


1,192 


6 


7 


1,594 


1,597 


21 


21 


247 


249 


22 


22 


784 


787 


56 


57 


143 


144 


13 


13 


561 


564 


5 


5 


7,860 


7,966 


33 


33 


1,889 


1,901 


31 


32 


273 


281 


9 


12 


1,236 


1,260 


27 


27 


527 


531 


16 


19 


1,222 


1,224 


5 


5 



1,063 

6,140 

487 

28,459 
4,549 

16,206 
6,403 
6,657 
2,561 
1,715 
4,101 



165 

4 

880 

164 

129 

9 

1,054 

573 

184 

30 

25 

179 

164 

34 



1,075 

6,175 

490 

28,778 
4,571 

16,309 
6,469 
6,677 

1,725 
4,129 



169 

4 

885 

164 

130 

9 

1,054 

577 

187 

30 

25 

184 

168 

34 



95 







2 








1 


2 


1 


4 


3 
1 


9 


19 


57 


4 


21 


1 


9 


1 


8 


7 
1 


8 


1 








1 








9 


60 


1 


7 
1 


2 


4 




12 






3 


17 


2 


11 



21 

47 
7 

457 
54 

227 
85 
45 
64 
44 
80 



490 

1 



201 

I 

13 



133 

3 

20 

1 

4 



1 
45 

2 

440 

31 

299 

70 

38 

19 

4 

37 



391 
3 
8 



26 

. 1 

23 

3 

378 

I 

110 



44 



259 

3 

104 



167 
109 

25 
870 
187 
1,023 
301 
130 
195 

92 
142 



14 



2,725 

I 

42 

I 

148 

3 

97 

2 

37 



230 

7 

1,623 

7 

148 

238 

4 

50 

5 

227 

8 

42 

3 

151 



1,125 



298 
4 

105 
3 

262 



193 

1 

229 



312 
1,434 

145 
6,251 
1.062 
3,658 
1,801 
1,864 

801 

484 
1,732 



46 



252 

52 

45 

I 

343 

211 

73 

12 

9 

73 

51 

2 



21,426 

31 

49 

2 

367 

20 

120 

3 



909 

55 

7,276 

32 

849 

5 

1,139 

14 

154 

15 

462 

12 

79 

8 

335 

4 

5,717 

25 

1,384 

20 

122 

4 

822 

23 

253 

10 

815 

4 



511 
4,072 

284 
17,812 
2,972 
9,852 
3,682 
4,166 
1.335 
1.007 
1,864 



89 

I 

491 

76 

60 

5 

522 

242 

73 

9 

u 

92 
85 
23 



2,054 
6 
3 



29 
2 
8 



3 
1 

78 

8 

530 

3 
47 



107 

2 
14 

2 
21 
30 
15 

1 
23 

I 
557 

2 
75 

5 
12 

2 
103 

4 
35 

5 
64 

1 



48 
424 

24 
2,614 
240 
1.131 
457 
410 
144 

83 
238 



12 

1 

41 

27 

17 

I 

122 

77 

12 

8 

2 

8 

14 

5 



140 



Tabte 8.— Number of Offenses Known to the Police, Suburban Counties, 1990 — 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 



ArK)n* 



WEST VIRGINIA— Condniied 

Putnam 

Putnam State Police 

Wayne 

Wayne State Police 

Wood 

Wood State Police 

WISCONSIN 

Brown 

Calumet 

Chippewa 

Dane 

Douglas 

Eau Claire 

Kenosha 

La Crosse 

Marathon 

Milwaukee 

Outagamie 

Ozaukee 

Racine 

Rock 

St. Croix 

Sheboygan 

Washington 

Waukesha 

Winnebago 

WYOMING 

Laramie 

Natrona 



446 
65 
137 
244 
374 
59 



1,339 
235 
359 

1,449 
437 
450 

1,389 
364 
779 
618 

1,208 
248 
889 
596 
459 
651 

1,056 

1,410 
569 



469 
492 



446 
66 
140 
245 
375 
59 



1,348 
235 
360 

1,460 
439 
460 

1,402 
364 
780 
624 

1,208 
248 
892 
603 
463 
657 

1,062 

1,416 
571 



479 
494 



42 

9 

15 

291 

6 

18 

II 

63 

50 

20 

30 

29 

23 

41 

34 

31 

29 

101 

2 



149 
21 
57 
82 
75 
30 



80 
131 



274 

23 

50 

138 

268 

16 



207 


1,013 


66 


142 


72 


249 


260 


818 


210 


203 


148 


261 


277 


989 


40 


243 


174 


509 


5 


540 


171 


976 


56 


153 


162 


636 


141 


386 


100 


277 


172 


420 


232 


745 


302 


894 


146 


390 



303 
296 



1 
II 

2 
10 
13 



10 

2 



'Forcible rape flgures 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. 
^Aggravated assault figures are not comparable to prior years due to a change in reporting procedures. 



141 



Table 9. — Number of Offenses Known to the Police, Rural Counties 25,000 and over in Population, 1990 

[The data shown in Ibis table do not reflect county totals but are the number of ofrcnscs reported by the shenfTs office, county police depaitment. or state police.] 
• Ar^on is shown only if 12 months of arson data were received. Leaders (...) indicate zero data. The Modified Cnme Index total is the sum of the Crime Index 
offenses, including arson. 



County by State 



Crime 
Index 
total 



Modified* 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 

vehicle 

theft 



ALABAMA 



De Kalb . 
Jackson . . 

Lee 

Limestone 
Marshall . 
Talladega 



ARIZONA 



Apache .. 
Cochise . 
Coconino 
Mohave . 
Navajo . . 
Pinal .... 
Yavapai . 



ARKANSAS 



Benton 

Garland 

Independence 
Mississippi ... 
White 



CAUFORNIA 



Calaveras 

Calaveras Highway Patrol 

Humboldt 

Humboldt Highway Patrol 

Imperial 

Imperial 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 State Police . 
Sussex State Police 



FLORIDA 



Columbia 
Highlands 

Lake 

Monroe . . 
Putnam . . 



109 
358 
606 
324 
348 
146 



185 
931 
720 

1,656 
554 

1,563 
868 



781 
278 
827 
535 
485 



873 

51 

1,808 

73 

1,419 

110 

1,067 

95 

1,340 

56 

2,051 

117 

1,441 

145 

1,775 

111 

1,634 

128 

709 

66 

1,171 

87 



1,730 



1,781 
2,857 



814 
2,144 
3,320 
4,627 
3,515 



186 
942 
721 

1,678 
560 

1,568 
876 



783 
278 
828 
541 
489 



886 
1,826 
1,438 
1,083 
1,343 
2,084 
1,451 
1,777 
1,642 

731 
1,181 



1,744 



1,783 
2,857 



817 
2,154 
3.329 
4,632 
3,532 



103 
91 



14 

33 

92 
287 

59 
121 

70 



94 
104 



83 



99 

337 



194 
2 

112 
4 

253 



198 
12 
86 



63 



86 



234 
451 



117 
280 

375 
528 
422 



42 
170 
210 

98 
150 

34 



70 
369 
241 
650 
210 
568 
290 



270 
127 
192 
156 
215 



419 
694 



481 
417 
430 



947 
709 
569 
459 
239 
366 



340 



419 
745 



369 

772 
1,131 
1,132 
1,352 



45 
129 
276 
106 
171 

87 



88 
453 
365 
607 
251 
701 
415 



423 
87 
576 
246 
204 



342 

8 

960 



796 
14 

506 
25 

543 



847 

7 

550 

32 
937 

29 
929 

36 

370 

7 

733 

15 



1,206 



889 
1,389 



223 

906 

1,439 

2,652 

1,444 



17 
40 
27 
29 
21 
13 



9 
62 
18 
97 
25 
103 
71 



37 
40 
32 
32 
36 



3 
43 
10 
73 
12 
96 

8 
70 

8 
56 

7 

108 

16 

109 

4 
82 

2 
80 



59 

2 
72 



89 



112 
142 



62 
134 
296 
221 
148 



142 



Table 9.— Number of Oflenses Known to the Police, Rural Counties 25,000 and over in Population, 1990 — 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 



GEORGIA 

Boyd Police Department 
Glynn Police Department 

Hall 

Whitfield 

HAWAII 

Hawaii 

Kauai 

Maui 

IDAHO 

Bonneville 

Canyon 

Kootenai 

ILLINOIS ' 

Adams 

La Salle 

Ogle 

Vermilion 

INDUNA 

Bartholomew 

Bartholomew State Police 

Grant 

Grant State Police 

La Grange 

La Grange Slate Police . 

La Porte 

La Porte State Police ... 

Wayne 

Wayne State Police 

KANSAS 

Riley Police Department 

KENTUCKY 

Floyd 

Floyd State Police 

Hardin 

Hardin Sute Police 

Harlan 

Harlan State Police 

Knox 

Knox Sute Police 

Laurel 

Laurel Stale Police 

McCracken 

McCracken State Police 

Perry 

Perry State Police 

Pike 

Pike State Police 

Pulaski 

Pulaski State Police 

Warren 

Warren State Police 

LOUISUNA 

Acadia 

Plaquemines 

St. Landry 

See footnote at end of table. 



2,003 
2,243 
3,202 
2,054 



4,068 
2,596 
6,592 



787 

1,024 

957 



298 

48 
425 

20 
251 

77 
894 

74 
395 

52 



239 



47 
444 

67 

287 

6 

309 

10 
288 
370 
359 
633 
105 
2 
474 

73 
833 
425 

61 
183 
568 



513 
639 
800 



2,081 



4,105 
2,605 
6,657 



789 

1,028 

965 



302 

48 
425 

21 
253 

78 
895 

74 
397 

53 



47 
489 

73 

288 

6 

329 

10 
304 
370 
382 
633 
108 
2 
493 

73 
886 
425 

61 
183 
577 



514 
639 
807 



1 


5 


5 


6 


8 


10 


1 


3 




5 







78 
166 
180 
143 



116 
88 
195 



22 



128 

3 

71 

12 

6 

3 

162 



107 
51 
91 



678 
579 
898 
694 



1,043 

597 

1,518 



161 
409 
340 



161 
188 
41 

353 



66 

3 

117 

2 

73 

21 

241 

6 

131 

II 



69 



18 

133 

30 

95 



87 
3 
115 
137 
122 
120 

26 

2 

125 

15 
255 
124 

22 

72 
190 



95 

137 
240 



1,049 

1,241 

1,852 

969 



2,580 
1,766 
4,483 



539 
469 
519 



196 

254 

94 

585 



198 

24 

249 

10 

141 
25 

547 
23 

223 
20 



137 



22 
201 

31 

81 

4 

111 

7 

76 
183 
102 
366 

45 



168 
42 
410 
254 
24 
106 
159 



286 
416 
399 



162 
164 
219 
190 



274 
120 
329 



57 
79 
26 



37 

3 

41 



14 
10 
14 
3 

10 
16 
47 
20 
24 
10 



10 



3 

37 
4 
14 



34 



58 
21 
83 
32 
4 



37 
13 
76 
30 
4 
2 
42 



17 
17 
40 



143 



Table 9. — Number of Offenses Known to the Police, Rural Counties 25,000 and over in Population, 1990 — 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* 



LOUISIANA— Contlniied 

Vermilion 

Vernon 

MAINE 

Aroostook 

Aroostook State Police 

Hancock 

Hancock State Police 

Kennebec 

Kennebec State Police 

Penobscot 

Penobscot Sute Police 

Somerset 

Somerset State Police 

Waldo 

Waldo State Police 

York 

York Sute Police 

MARYLAND 

Garrett 

Garrett Sute Police 

St. Mary's 

St. Mary's SUte Police 

Wicomico 

Wicomico State Police 

MICHIGAN 

Allegan 

Allegan SUte Police 

Barry 

Barry Sute Police 

Cass 

Cass Sute Police 

Grand Traverse 

Grand Traverse Sute Police . 

Hillsdale 

Hillsdale Sute Police 

Ionia 

Ionia Sute Police 

Isabella 

Isabella State Police 

Lenawee 

Lenawee Sute Police 

Montcalm 

Montcalm Sute Police 

Newaygo 

Newaygo Stale Police 

St. Joseph 

St. Joseph State Police 

Sanilac 

Sanilac Sute Police 

Shiawassee 

Shiawassee Sute Police 

Tuscola 

Tuscola Sute Police 

Van Buren 

Van Buren Sute Police 

MINNESOTA 

Crow Wing 

Itasca 

Otter Tail 



691 

857 



170 
479 
456 

53 
323 
406 
630 
260 
334 
204 
167 

91 
335 
393 



312 
252 
1,982 
568 
606 
614 



1,278 
620 
593 
469 
815 
236 
930 
458 
423 
209 
347 
440 
280 
444 
820 
289 

1,160 
352 
501 
401 
607 
294 
187 
290 
401 
186 
484 
302 

1,048 

1,103 



976 
607 
678 



691 
859 



173 
479 
456 

53 
323 
406 
635 
260 
335 
204 
168 

91 
344 
393 



312 
263 
1.988 
594 
606 
634 



1,295 
637 
599 
482 
826 
245 
933 
459 
428 
215 
354 
447 
281 
446 
830 
293 

1,168 
361 
507 
404 
608 
304 

297 
402 
188 
490 
310 
1,057 
1,131 



981 
611 
679 



10 



70 


4 


16 


2 


9 


4 


17 


3 


7 


3 


8 


2 


37 


4 


20 


2 


17 




5 




13 


I 


16 


3 


3 




18 


2 


7 


5 


21 


1 


51 


2 


18 


1 


13 


2 


11 




70 




23 


1 


7? 




15 


I 


2 


4 


10 


1 


4 




33 




20 


2 


20 


16 



69 

22 
310 

69 
156 

89 



171 
172 



74 

208 

139 

21 

112 

175 

215 

99 

83 

90 

55 

36 

145 

130 



65 
77 
555 
169 
100 
166 



291 
192 
155 
158 
268 

87 
160 
110 
127 

67 

89 
113 

69 
154 
225 

96 
369 
134 
227 
145 
178 

83 

45 

99 
131 

57 
150 

90 
421 
420 



326 
229 
281 



455 
532 



86 
209 
301 

22 
190 
187 
386 
113 
208 

77 
101 

32 
155 
197 



160 
123 
998 
260 
310 
292 



786 
340 
329 
238 
454 
100 
640 
281 
232 
109 
176 
261 
180 
236 
487 
144 
592 
154 
217 
177 
370 
143 

59 
141 
206 

83 
274 
133 
535 
479 



563 
315 
344 



20 
36 



9 

44 

9 

5 

9 

24 

17 

25 

35 

18 

2 

9 

23 

31 



14 
25 
70 
51 
14 
42 



58 
31 
26 
26 
46 
15 
22 
29 
17 
10 
22 
21 
16 
18 
41 
10 
52 
19 
11 
29 
26 
27 

7 

14 
29 

8 
28 
18 
51 
67 



53 
48 
28 



144 



Table 9. — Nomber of Offenses Known to the Police, Rural Counties 25,000 and over in Population, 1990 — Continued 



County by Sute 



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* 



MISSISSIPPI 

Jones 

Lee 

Warren 

MISSOURI 

Camden 

Cole 

Johnson 

Pulaski 

St. Francois 

MONTANA 

Flathead 

Gallatin 

NEW HAMPSHIRE 

Hillsboro State Police 

Rockingham State Police ... 

NEW MEXICO 

San Juan 

NEW YORK 

Allegany State Police 

Cattaraugus 

Cattaraugus State Police 

Cayuga 

Cayuga State Police 

Chenango 

Chenango State Police 

Qinton 

Clinton Sute Police 

Columbia 

Columbia State Police 

Delaware 

Delaware State Police 

Franklin State Police 

Fulton 

Fulton Slate Police 

Genesee 

Genesee State Police 

Jefferson 

Jefterson State Police 

Otsego 

Otsego Sute Police 

St. Lawrence 

St. Lawrence State Police ... 

Schoharie 

Schoharie Sute Police 

Steuben 

Steuben Sute Police 

Tompkins 

Tompkins Sute Police 

Ulster Sute Police 

Wyoming 

Wyoming Sute Police 

NORTH CAROLINA 

Beaufort 

Bnmswick 

CaldweU 

Carteret 

Chatham 



371 
459 
556 



496 

452 
288 
104 
212 



1,519 
421 



764 



563 
427 
595 
382 
546 
349 
251 
5 

1,345 
367 
553 
122 
422 
638 
645 
115 
600 
186 
476 
764 
119 
SII 
728 
651 
136 
269 
404 
645 
698 
445 

1,146 
613 
169 



742 
411 
1,433 
885 
863 



371 
460 
557 



499 
455 



104 
212 



1,529 
423 



767 



571 
449 
598 
391 
550 

254 

5 

1,350 

373 

559 



676 
656 
115 

189 
497 
765 



661 
139 

269 
442 
650 
700 
449 
1,168 
626 
172 



748 
411 
1,449 
885 
866 



19 



96 



71 
23 
58 
50 
76 
34 
13 

1 
164 

8 
37 

5 
32 
78 
45 

3 
II 
31 
II 
18 

4 
18 
90 
60 



22 



161 
185 
234 



245 

123 

121 

58 

80 



277 
96 



181 



235 
150 
195 
139 
145 

97 
112 
1 
354 
149 
155 

41 
200 
214 
198 

47 
148 

32 
150 
221 

54 
156 
193 
263 

53 
105 
144 
164 
160 
104 
440 
241 

33 



345 
194 
514 
365 
390 



202 
155 

272 



209 

272 
140 
22 
104 



1,084 
286 



388 



247 
221 
326 
166 
297 
208 
116 
3 
807 
189 
325 

66 
173 
329 
379 

57 
411 
112 
289 
509 

60 
325 
409 
300 

77 
125 
255 
417 
484 
311 
555 
268 

45 



288 
156 
713 
464 
383 



56 
20 



II 

22 
16 
12 
18 



115 

22 



70 



5 
32 

3 
21 
23 

9 
10 



10 
21 
31 

9 
16 
II 
16 

7 
21 
II 
16 
13 

I 

7 
30 
19 

6 
16 

5 
34 
32 
16 
49 
35 
13 



42 
44 
86 
38 
39 



145 



Table 9.— Number of Offenses Known to the Police, Rural Counties 25,000 and over in Population, 1990 — 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— Continoed 


2,051 

1,098 

761 

894 

1,900 

753 

1,163 

1,336 

454 

1,610 

822 

784 

785 

615 

1,018 

1.550 

518 

1,079 

1.077 

900 

966 

1.599 

866 

229 

1,241 
276 
377 
396 
947 

1,068 
492 
626 
211 
637 
351 
342 
314 
598 

683 

65 

1,049 

226 
1,322 

1,353 

46 

903 

310 

1,231 

64 

606 
554 
1,241 
449 
595 
712 
981 


2,053 

1,129 

771 

905 

1,930 

757 

1,170 

1,349 

463 

1,610 

829 

796 

792 

616 

1,028 

1,559 

518 

1,081 

1,080 

910 

972 

1,605 

874 

231 

1,251 
276 
388 
397 
947 

1,085 
492 
630 
212 
638 
353 
351 
330 
602 

687 

66 

1,054 

227 
1,326 

1,370 

56 

907 

319 

1,239 

65 

633 

574 
1,273 
465 
609 
726 
1 995 


5 

8 
4 
6 
6 

5 
5 


10 

1 

5 

16 


30 
17 

4 

7 
23 

4 

3 
19 

1 
17 

2 
14 

4 
14 
21 
23 

4 


76 
82 
81 
16 

217 
13 
55 
59 
12 
49 
5 
26 
36 
16 
36 

103 
64 

155 
83 
54 
39 
64 
85 

II 

13 
54 

7 
27 
54 
40 
54 
25 
55 
37 

5 
37 


893 
507 
383 
378 
807 
370 
505 
613 
261 
660 
386 
297 
255 
241 
384 
612 
148 
518 
353 
412 
349 
677 
325 

43 

308 

71 

45 

134 

229 

278 

130 

193 

31 

166 

105 

85 

88 

160 

203 

7 

288 

53 
434 

15 

426 

3 

316 

83 
472 

16 

239 
180 
443 
180 

257 
316 
355 


959 
396 
247 
429 
666 
338 
458 
532 
172 
741 
372 
382 
441 
294 
513 
701 
247 
310 
541 
329 
493 
716 
378 

151 

847 
127 
312 
199 
618 
675 
287 
349 
125 
389 
209 
202 
190 
368 

366 
37 
666 
120 
731 

796 
26 
503 
137 
623 
31 

276 
304 
588 
219 
266 
288 
451 


87 
78 
41 
53 

165 
27 

129 

98 

7 

129 
46 
53 
37 
42 
61 
94 
51 
82 
82 
78 
72 

116 
67 

16 

55 
15 
12 
30 
36 
58 
19 
43 


2 




31 




10 


Halifax 


11 




30 




4 




8 
10 

1 

12 
7 
8 

10 

3 

2 

13 


7 


Iredell 


13 




9 




2 
4 
4 
2 
5 
1 

4 
4 
9 
6 
2 
6 
3 
2 




Lee 


7 




12 


McDowell 


7 


Moore 


1 


Nash 


10 




9 








5 

2 
9 
2 
13 
2 

8 

9 

7 


2 




10 
16 

5 
10 

7 


3 




10 




6 


Wayne 


6 


Wilkes 


8 


NORTH DAKOTA 

Ward 


2 


OHIO 


1 


8 

1 

2 

7 

10 

1 
6 


10 








11 




1 


3 
3 
4 

8 


1 








3 


17 


Ottawa 




Preble 


2 


4 




1 




1 


2 
6 
2 
5 
16 

8 

II 
11 

5 
3 

18 
10 
15 
13 
13 


5 

1 


37 
25 
16 
29 
38 

50 

7 

71 

33 

101 

8 
86 

5 
47 
38 
82 

7 

60 
35 

121 
24 
33 
72 
78 


1 




2 






9 






2 
3 

4 


16 


Wayne 


1 
1 


12 

51 
10 
14 
14 
45 
21 
20 

4 
21 
39 
36 

2 

25 
27 
63 
15 
21 
22 
68 


4 


OREGON 

Coos 


4 




1 




2 


3 

2 
2 

10 
1 

10 
4 
5 
1 

15 


5 


Deschutes State Police 


1 






4 




2 
4 


3 




17 




10 


Klamath 


2 


4 


Klamath State Police 


9 




2 


8 




1 


PENNSYLVANIA 




27 






20 




6 


32 




16 




2 


14 




14 


Franklin State Police 


1 


14 



See footnote ai end of ubie. 



146 



Table 9. — Number of Offenses Known to tbe Police, Rnral Counties 25,000 and over in Population, 1990 — Contiiiiied 



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* 



PENNSYLVANU— Contianed 

Greene Stale Police 

Huntingdon State Police 

Indiana State Police 

Jefferson State Police 

Lawrence State Police 

Northumberland State Police 

Schuylkill Sute Police 

Snyder State Police 

Tioga State Police 

Venango State Police 

Warren 

Warren Sute Police 

Wayne Slate Police 

SOUTH CAROLINA 

Beaufort 

Cherokee 

Chesterfield 

Colleton 

Darlington 

Georgetown 

Greenwood 

Horry Police Department 

Kershaw 

Lancaster 

Laurens 

Oconee 

Orangeburg 

Sumter 

Williamsburg 

TENNESSEE 

Bradley 

Greene 

Hamblen 

Roane 

TEXAS 

Anderson 

Angelina 

Bastrop 

Henderson 

Hunt 

Rusk 

Starr 

Van Zandt 

Wise 

UTAH 

Cache 

VIHGINU 

Accomack 

Accomack State Police 

Augusta 

Augusta State Police 

Bedford 

Buchanan 

Buchanan State Police 

Fauquier 

Fauquier State Police 

Franklin 

Franklin State Police 

Frederick 



528 
505 
819 
334 
507 
332 
744 
277 
396 
618 
35 
293 
614 



640 

747 
450 
677 



598 
780 
740 
981 
715 
798 
661 
509 
533 



671 



385 

52 

981 

44 

618 

313 

105 

600 

16 

504 

5 

1,023 



544 
518 
848 
348 
522 
335 
779 
277 
403 
626 
35 
298 
615 



4,919 


4,937 


180 


186 


643 


663 


974 


991 


1,665 


1,678 


1,157 


1,163 


1,356 


1,371 


5,581 


5,598 


1,033 


1,038 


1,596 


1,604 


580 


585 


968 


975 


3,289 


3,333 


2.694 


2,711 


642 


649 



640 
766 
450 
690 



605 
788 
749 
982 
721 
803 
663 
512 
533 



671 



385 

54 

985 

46 

624 

314 

110 

605 

16 

509 

5 

1,023 



74 
6 

9 
25 
31 
13 
18 
82 

7 
27 

5 

4 

113 

47 

15 



50 

53 

3 

106 



102 
II 
68 

118 
52 
35 
93 
32 
20 



210 
215 
312 
146 
159 
114 
239 

98 
233 
214 

10 
131 
340 



171 
333 
142 
191 



188 
248 
341 
499 
305 
348 
260 
190 
210 



105 



108 
10 

157 
2 

200 
74 
29 

101 
2 

155 



218 
234 
374 
156 
241 
182 
357 
148 
126 
317 
15 
121 
196 



476 


1,157 


2,975 


39 


49 


50 


93 


228 


258 


157 


253 


449 


259 


517 


673 


165 


394 


493 


179 


349 


729 


420 


1,504 


3,084 


91 


312 


561 


183 


413 


852 


141 


188 


188 


71 


312 


528 


738 


858 


1,277 


573 


823 


1,023 


160 


222 


190 



174 



319 
266 
258 
317 



264 
454 
282 
313 
303 
348 
239 
243 
262 



536 



208 

29 
695 

34 
356 
154 

48 
435 

II 

310 

3 

761 



84 
31 
79 
18 
56 
14 
72 
19 
23 
65 
I 
25 
39 



192 
29 
39 
80 

152 
78 
64 

432 
55 

103 
44 
45 

251 

189 
40 



82 
81 
42 
45 



31 
44 
30 
40 
47 
53 
59 
30 
37 



25 



20 

9 

48 

3 

34 

44 

18 

37 

3 

24 

52 



147 



Table 9. — Number of Offenses Known to the Police, Rural Counties 25,000 and over in Population, 1990 — Continued 



County by Sute 


Crime 
Index 
total 


Modified* 
Crime 
Index 
total 


Murder 
and non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 

vehicle 

theft 


Arson* 


VIRGINIA— Continiied 


40 
349 

21 
1,891 

26 
329 

33 
2,032 

65 
329 

55 
193 

14 

1,110 
756 
741 

1,019 
694 
510 
993 

1,226 
977 

896 
431 
118 
212 
380 
130 
149 
319 
161 
444 

80 
126 
306 

92 
908 
197 
156 
218 
286 
352 
1,094 
234 

605 
368 
632 
403 
452 
319 
422 
467 
772 
597 
567 
191 
602 
718 
575 
532 


40 

352 

23 
1,903 

26 
335 

34 
2,032 

65 
329 

59 
202 

16 

1,114 
758 
751 

1,020 
695 
517 

1,234 
982 

931 
431 
118 
217 
381 
133 
152 
320 
164 
446 
80 
127 
314 
92 
908 
199 
162 
228 
287 
357 
1,107 
234 

612 
371 
635 
404 
452 
324 
429 
471 
772 
608 
568 
191 
602 
743 
575 
535 








2 
27 


3 

122 

1 

513 

1 

83 

1 

225 

3 

61 

7 

58 

1 

290 
171 
248 
363 
257 
136 
399 
541 
269 

254 

193 
47 
74 

147 
46 
74 

124 
43 
92 
19 
48 
96 
37 

346 
70 
40 
52 
60 
85 

286 
44 

208 
104 
158 
133 

99 
112 

85 

93 
379 
241 
130 

13 
165 
184 
200 
148 


34 

182 

8 

1,182 

11 

219 

11 

1,607 

49 

147 

33 

117 

8 

696 
496 
403 
509 
341 
300 
452 
550 
555 

518 

188 

64 

107 

179 

54 

58 

165 

71 

250 

33 

27 

165 

43 

424 

56 

25 

77 

205 

217 

683 

166 

295 
239 
409 
218 
301 
172 
297 
316 
346 
286 
374 
173 
371 
474 
301 
339 


1 

6 
10 
99 
12 

7 

18 
151 

7 

16 
10 
10 

4 

50 
46 
27 
97 
48 
47 
59 
62 
105 

30 
34 

7 
21 
32 
27 

7 

19 
21 
55 

1 
26 
19 
12 
49 
37 
25 
62 
14 
44 
70 
19 

38 
20 
53 
30 
21 
21 
37 
36 
36 
60 
23 
1 
43 
49 
25 
38 




Halifax 


2 


3 


7 

2 

22 


3 




2 




10 


7 


58 
2 

13 
2 

26 
1 
100 
3 
4 
1 

46 
27 
27 
19 
34 
21 
64 
46 
18 

84 
S 


12 


Henrv State Police 




Rockiagbam 


1 


4 

4 
4 
4 
2 
3 


2 


6 








2 


17 
1 




Snot<:vlvania State Police 






1 








4 


Wise 


1 




9 


Wi^fi State Police 




2 


WASHINGTON 


1 
1 


16 
14 
31 
23 
5 
3 
11 
20 
26 

5 
3 


11 
1 
5 
7 
3 
3 
8 
5 
3 

3 
4 


4 




2 




10 


Grant 


1 
6 


1 




1 


Island 


7 








Mason 


2 

2 
1 


8 




5 


WEST VIRGINIA 


35 


Berkeley State Police 










1 
2 


7 


1 
5 


1 
15 
2 
6 
8 

16 
36 
24 
15 
19 


5 




1 




1 
3 
1 
2 
2 


3 






2 
8 
6 


3 


Jefferson State Police 




1 


1 osan State Police 




3 


3 
3 


2 


McDowell 




McDowell State Police 


8 
4 


2 
2 


1 




1 


8 








2 
2 
2 
3 




4 
4 

5 
2 
1 
2 

10 
2 

5 


83 
4 

56 

16 
3 
3 

32 
2 

57 

3 

10 
22 
26 
12 

1 
17 

7 

4 
35 

1 
16 

7 
47 

2 






24 
3 
6 

3 

1 
7 


2 


Mingo 

Mingo State Police 


6 
10 




1 


Mononsalia State Police 




5 


Raleigh 


6 
1 


13 






WISCONSIN 


2 
2 

1 


7 






3 


Columbia 




1 


3 










3 
1 




2 
2 








5 






7 






4 
3 

5 
4 
1 
6 
2 
1 
3 


4 




1 
1 
1 








11 






1 




2 






' 






2 


25 




1 




Wood 


2 


'■ 



148 



Table 9. — Number of Offenses Known to the Police, Rural Counties 25,000 and over in Population, 1990 — 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* 


STATE AGENCIES 

Alaska State Police 


5,966 

22 

171 

9,431 

130 

2,027 

6,780 

M 

4,984 


6,046 

22 

9,524 

130 

2,042 

14 
5,000 


17 


90 


19 


604 
16 


1,485 


3,154 
6 


597 


80 


Arizona Department of Public Safety . . 
Colorado State Patrol 












171 
814 
27 
210 
348 




Connecticut State Police 

Minnesota Highway Patrol 

New Mexico State Police 


7 


98 


105 

28 
8 


1,120 

8 

341 

181 

14 

234 


3,045 

5 

705 

2,662 


4.242 

89 

697 

3,531 


93 


12 
6 


34 
44 


15 


Vermont State Police 

Wisconsin State Patrol 




OTHER AREAS 

Guam 


10 


90 


44 


925 


3,344 


337 


16 



'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. 
'Larceny-theft figures are not comparable to prior years. 



149 



Table 10.— Crime Trends, Offenses Known to the Police, Population Group, 1989-1990 

[1990 population) 



Population group 



Crime 
Index 
total 



ModiHed 
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 



TOTAL ALL AGENCIES: 

12,454 agencies; 
population 219,097,000: 

1989 

1990 

Percent change 



TOTAL CmES: 8,681 cities; 
popiUation 149,235,000: 

1989 

1990 

Percent change 



12,426,279 

12,579,081 

-1-1.2 



10,301,256 
10,429,435 

-1-1.2 



Group I 

58 cities, 250,000 and over; 
population 42,418,000: 

1989 

1990 

Percent change 

8 cities, 1,000,000, and over; 
population 19,953,000; 

1989 

1990 

Percent change 

14 cities, 500,000 to 999,999; 
population 9,368,000: 

1989 

1990 

Percent change 

36 cities, 250,000 to 499,999; 
population 13,097,000: 

1989 

1990 

Percent change 

Grow II 

122 cities, 100.000 to 249,999; 
population 17,751,000: 

1989 

1990 

Percent change 

Group III 

317 cities, 50,000 to 99,999; 
population 21,580,000: 

1989 

1990 

Percent change 

Group IV 

634 cities, 25,000 to 49,999; 
population 21,910,000: 

1989 

1990 

Percent change 



270,966 

287,532 

-I-.4 



,025,157 

,021,758 

-.2 



907,809 
936,395 

+3.1 



,338,000 

,329,379 

-.6 



1,439,727 
1,461,146 

-1-1.5 



1,363,678 
1,386,506 

-1-1.7 



12,521,455 

12,676,981 

-(■1.2 



10,376,673 

10,506,652 

-t-1.3 



4,308,053 
4,325,783 

-I-.4 



2,045,378 

2,042,777 

-.1 



914,750 

943,507 

-1-3.1 



1,347,925 

1,339,499 

-.6 



1,450,958 

1,472,674 

-1-1.5 



1,373,206 

1,396,097 

-1-1.7 



1,435,727 

1,581,544 

-1-10.2 



1,231,846 

1,362,195 

-1-10.6 



696,994 

766,047 

-1-9.9 



410,619 

445,839 

-1-8.6 



111,751 

128,983 

-H5.4 



174,624 

191,225 

-1-9.5 



158,393 

176,103 

-H1.2 



131,950 

150,420 

-1-14.0 



10,990,552 
10,997,537 
-t-.l 



9,069,410 
9,067,240 



3,573,972 

3,521,485 

-1.5 



1,614,538 

1,575,919 

-2.4 



796,058 

807,412 

+ 1.4 



1,163,376 
1,138,154 

-2.2 



1,281,334 
1,285,043 

+.3 



1,231,728 
1,236,086 

+.4 



19,196 
21,113 
+10.0 



15,467 
17,212 
+11.3 



9,706 
10,992 
+ 13.2 



5,554 
6,313 
+ 13.7 



1,833 
2,165 
+ 18.1 



2,319 
2,514 
+8.4 



1,880 
2,038 
+8.4 



1.275 
1,390 
+9.0 



78,857 

85,917 

-W.O 



60,964 

66,444 

+9.0 



27,003 
29,215 

+8.2 



10,205 

10,649 

+4.4 



6,511 

7,233 
+ 11.1 



10,287 
11,333 
+ 10.2 



9,683 
10,713 
+ 10.6 



8,509 
9,009 
+5.9 



511,225 

568,282 

+11.2 



471,779 

526,682 

+11.6 



320,583 

362,256 

+ 13.0 



201,010 

227,167 

+ 13.0 



50,699 
60,259 
+ 18.9 



68,874 

74,830 

+8.6 



55,070 
60,749 
+ 10.3 



41,135 
45,348 
+ 10.2 



826,449 

906,232 

+9.7 



683,636 

751,857 
+10.0 



339,702 

363,584 

+7.0 



193,850 

201,710 

+4.1 



52,708 
59,326 

+ 12.6 



93,144 

102,548 

+ 10.1 



91,760 

102,603 

+ 11.8 



81,031 
94,673 
+ 16.8 



2,712,454 

2,620,213 

-3.4 



2,115,980 

2,039,262 

-3.6 



868,610 
830,198 

-4.4 



378,228 

364,481 

-3.6 



188,878 

184,878 

-2.1 



301,504 

280,839 

-6.9 



321,576 

308,871 

-4.0 



288,758 

279,048 

-3.4 



6,880,227 

6,920,830 

+.6 



5,742,455 
5,758,813 

+.3 



2,017,359 
1,963,446 

-2.7 



849,507 

806,227 

-5.1 



478,170 
478,788 

+.1 



689,682 

678.431 

-1.6 



813,055 

820,293 

+.9 



796,321 

807,278 

+ 1.4 



1,397,871 
1,456.494 

-M.2 



1,210,975 
1,269.165 

+4.8 



688,003 

727,841 

+5.8 



386,803 

405,211 

+4.8 



129,010 

143,746 

+ 11.4 



172,190 

178,884 

+3.9 



146,703 

155,879 

+6.3 



146.649 
149,760 

+2.1 



1,198,554 

1,215,927 

+ 1.4 



1,205,488 

1,223,130 

+ 1.5 



98,826 

109,378 

+ 10.7 



1,099,728 

1,106,549 

+.6 



1,108 
1,116 

+.7 



6,322 
7,083 
+ 12.0 



27,565 
29,685 

+7.7 



63,831 
71,494 
+ 12.0 



244,528 

235,622 

-3.6 



754,627 

767,804 

+ 1.7 



100,573 
103.123 

+2.5 



150 



Tabic 10.— Crime Trends, Offenses Known to the Police, Population Group, 1989-1990 — Continued 



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' 



Group V 

J,521 cities, 10.000 to 24,999; 
population 24,103,000: 

1989 

1990 

Percent change 



Group VI 

6,029 cities under 10,000; 
population 21,474,000: 

1989 

1990 

Percent change 



SlTBURBAN COLWTIES 

1,123 agencies; 
population 42.626,000: 

1989 

1990 

Percent change 

RintAL Counties* 

2,630 agencies; 
population 27,236.000: 

1989 

1990 

Percent change 



1,114,130 
1.139.033 

-1-2.2 



914,181 
939.291 

-1-2.7 



1,571,923 

1.386,246 

-I-.9 



333,100 

363,400 

-t-1.9 



1,119,888 
1,144,860 

-1-2.2 



919,080 
944,108 

-H2.7 



1.386.216 

1,601,450 

-l-I.O 



558,566 

568,879 

-1-1.8 



81,926 
89,022 

4-8.7 



63,757 
71,225 
4-11.7 



153,354 

164,771 

-1-7.4 



50.327 

34,578 

-t-8.0 



1,032,224 
1,050,011 

-H.7 



850,424 
868,066 

-1-2.1 



1,418,369 
1.421.473 

+.2 



502,573 

508,822 

-1-1.2 



866 

926 

-1-6.9 



632 

750 

■1-18.7 



2.265 
2,375 
-(-4.9 



1.464 
1,526 

-1-4.2 



5,503 
5,936 

-1-7.9 



3,944 
4,488 
-t-13.8 



12,218 
13,407 

+9.7 



5,675 
6.066 
-1-6.9 



18,203 

18,944 

-1-4.1 



9,223 
9,700 

-1-5.2 



35.398 

37,598 

-1-6.2 



4,048 
4,002 
-1.1 



57,354 
63,216 
-1-10.2 



49,958 

56,287 
-fl2.7 



103,473 
111,391 

-1-7.7 



39,340 

42,984 

-1-9.3 



219,007 

213,273 

-2.6 



173,501 
172,250 

-.7 



407,605 

394,116 

-3.3 



188,869 

186,835 

-1.1 



733,443 

736,367 

4-2.8 



623,650 
643,625 

-1-2.9 



837,025 
873,960 

-1-2.0 



280,747 

288,057 

-1-2.6 



77,774 

80,371 

+ 3.3 



51,273 

32,191 

-1-1.8 



133,939 

133,399 

-.4 



32,957 

33,930 

4-3.0 



5,738 
5,827 
4-1.6 



4,899 
4,817 
-1.7 



14,293 

13,204 

4-6.4 



5,466 
5,479 

4-.2 



Suburban Area' 

5,796 agencies; 
population 88,007,000: 

1989 

1990 

Percent change 



3,626,229 
3,686,573 

4-1.7 



3,652,007 
3,713,472 
4-1.7 



305,576 
330,694 

4-8.2 



3.320,653 
3,355.879 
4-1.1 



3,767 
3,973 
4-5.5 



21,625 

23,620 

4-9.2 



74,848 

79,629 

4-6.4 



205,336 

223,472 

4-8.8 



802,847 

779,629 

-2.9 



2,187,883 
2,242,196 
4-2.5 



329,923 

334,054 

4-1.3 



25,778 

26,899 

4-4.3 



'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 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 arc offenses of murder, forcible rape, robbery, and aggravated assault. 

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

'Includes state police agencies with no county breakdown. 

'Includes suburban city and county law enforcement agencies within metropolitan areas. Excludes central cities. Suburban cities and counties are also included in other groups. 

Forcible rape figures furnished by the sUle-level Uniform Crime Reporting (UCR) Program administered by the Illinois Department of State Police were not in accordance with national UCR 
guideUnes and were excluded from the forcible rape, violent crime. Crime Index total, and Modified Crime Index total categories. 



151 



Table 11. — Crime Trends, Offenses Known to the Police, Suburban and Nonsuburban Cities', Population Group, 1989-1990 

[1990 estimated population] 



Population group 


Crime 
Index 
total 


Modified 
Crime 
Index 
total' 


Violent 
crime' 


Property 

crime* 


Murder 
and non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 

vehicle 

theft 


Arson' 


Suburbu Cities 

TOTAL SUBURBAN CITIES: 
4,673 cides; 
populatioii 45381.000: 

1989 


2,054,306 

2,100,327 

-t-2.2 


2,065,791 
2,112,022 

-f2.2 


152,222 

165,923 

-H>.0 


1,902,084 
1,934,404 

-1-1.7 


1,502 
1,598 
-rt.4 


9,407 

10,213 

+8.6 


39,450 
42,031 

+6.5 


101,863 

112,081 

+10.0 


395,242 
385,513 

-2.5 


1,330,858 
+2.8 


175,984 
180,655 

+2.7 


11,485 


1990 


11,695 




+1.8 






Group IV 

470 cities, 25,000 to 49,999; 
population 16,199,000: 

1989 


813,599 

828,149 

-I-I.8 

715,751 

734,388 

-H2.6 

524,956 
537,790 

-1-2.4 

1,172,579 

1,193,924 

-1-1.8 


818,466 

833,319 

-1-1.8 

719,480 

738,118 

-1-2.6 

527,845 

540,585 

-1-2.4 

1,178,665 

1,200,076 

-t-1.8 


67,907 

74,555 

-1-9.8 

51,993 

55,613 

-1-7.0 

32,322 
35,755 
4-10.6 

92,287 

103,702 

-fl2.4 


745,692 

753,594 

-t-1.1 

663,758 

678,775 

+2.3 

492,634 

502,035 

-1-1.9 

1,080,292 

1,090,222 

-f.9 


733 

720 

-1.8 

485 

558 

-1-15.1 

284 
320 

-1-12.7 

1.104 
1,194 

-^8.2 


3,896 
4,295 
+ 10.2 

3,395 
3,558 
+4.8 

2,116 
2,360 
+ 11.5 

6,362 
7,294 
+14.6 


20,123 

21,699 

+7.8 

1 3,258 

13.858 

+4.5 

6,069 

6,474 
+6.7 

15,541 

16.298 

+4.9 


43,155 
47,841 
+ 10.9 

34,855 

37,639 

+8.0 

23,853 
26,601 
+ 11.5 

69,280 
78,916 
+13.9 


163,157 

157,117 

-3.7 

138,268 

134,836 

-2.5 

93,817 
93,560 

-.3 

241,794 

235,632 

-2.5 


501,726 
514,309 

+2.5 

464,988 

480,960 

+3.4 

364,144 

372,967 

+2.4 

784,862 

799,560 

+1.9 


80,809 
82,168 

+ 1.7 

60,502 

62,979 

+4.1 

34,673 
35,508 

+2.4 

53,636 

55.030 

+2.6 


4,867 


1990 


5,170 




+6.2 


Group V 

1,085 cities, 10,000 to 24,999; 
population 17,293,000: 

1989 


3,729 


1990 


3,730 






Group VI 

3,118 cities under 10,000; 
population 11,889,000: 

1989 


2,889 


1990 


2,795 




-3.3 


Nonsuburban Cities 

TOTAL NONSUBURBAN 
CITIES: 3,511 cities; 
papuUdon 22,106,000: 
1989 


6,086 


1990 


6,152 




+1.1 






Group IV 

164 cities, 25,000 to 49,999; 
population 5,712,000: 

1989 


384,955 

387,778 

-I-.7 

398,399 

404,645 

-M.6 

389,225 
401,501 

-1-3.2 


387,022 
389,811 

+.1 

400,408 

406,742 

-t-1.6 

391,235 

403,523 

-1-3.1 


30,919 
34,823 
4-12.6 

29,933 
33,409 
-t-11.6 

31,435 
35,470 
-1-12.8 


354,036 

352,955 

-.3 

368,466 

371,236 

+.8 

357,790 
366,031 

4-2.3 


375 

396 

-1-5.6 

381 

368 

-3.4 

348 

430 

-1-23.6 


2.426 
2,788 
+ 14.9 

2,108 
2,378 
+ 12.8 

1,828 
2,128 
+ 16.4 


7,442 
7,986 

+7.3 

4,945 
5,086 

+2.9 

3,154 
3,226 

+2.3 


70,676 
23,653 
+ 14.4 

22,499 
25,577 
+ 13.7 

26,105 
29,686 

+ 13.7 


81,371 

78,505 

-3.5 

80,739 

78,437 

-2.9 

79,684 

78,690 

-1.2 


252,901 
253,495 

+.2 

270,455 

275,407 

+ 1.8 

261,506 

270,658 

+3.5 


19,764 

20,955 

+6.0 

17,272 
17,392 

+.7 

16,600 
16,683 

+.5 


2,067 


1990 


2,033 


Percent change 


-1.6 


Group V 

436 cities, 10,000 to 24,999; 
population 6,810,000: 

1989 


2,009 


1990 


2,097 




+4.4 


Group VI 

2,911 cities under 10,000; 
population 9,584,000: 
1989 


2,010 


1990 


2,022 




+.6 







'Suburban places are within Metropolitan Statistical Areas (MSAs) and include suburban city and county law enforcement agencies within Ihe metropolitan area. Central cities are excluded. 
Nonsuburban places are outside MSAs. 

TTie number of agencies used in arson trends is less than used in compiling trends for other Crime Index offenses. It is not necessary to report arsons by property classification to be included 
in this table. The Modified Crime Index total is the sum of the Crime Index offenses, including arson. 

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

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

Forcible rape figures furnished by the state-level Uniform Crime Reporting (UCR) Program administered by the Illinois Department of State Police were not in accordance with national UCR 
guidelines and were excluded from Ihe forcible rape, violent crime. Crime Index total, and Modified Crime Index total categories. 



152 



Table 12. — Crime Trends, Offenses Known to the Police, Suburban and Nonsuburban Counties, Population Group, 1989-1990 

[1990 estimated population] 



Population group 



Crime 
Index 
total 



ModiTied 
Crime 
Index 
total' 



Violent 
crime' 



Properiy 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
then 



Motor 

vehicle 

theft 



Arson' 



Subiuban Counties' 

100,000 and over 

98 counties; 
population 24,320,000: 

1989 

1990 

Percent change 

25.000 to 99.999 

307 counties; 
population 13.508.000: 

1989 

1990 

Percent change 



Under 25,000 

714 counties; 
population 2,712,000: 

1989 

1990 

Percent change 



Nonsuburtnn Counties' 

25,000 and over 

278 counties: 
population 11,085,000: 

1989 

1990 

Percent change 

10,000 to 24,999 

684 counties; 
population 10,672,000: 

1989 

1990 

Percent change 

Under 10,000 

1,590 counties; 
population 5,052,000: 

1989 

1990 

Percent change 



1,060,807 

1,072,855 

-1-1. 1 



376,543 
378,269 

+.5 



132,646 
133,153 

+A 



222,443 

225,397 

-1-1.3 



173,650 
177,913 

+2.5 



133,845 
135.647 

-1-1.3 



1.070,256 

1,083,358 

-1-1.2 



379,609 

381,270 

+A 



134,424 
134,853 



224,267 

227,381 

-H.4 



175,224 
179,429 

-1-2.4 



135,786 

137,518 

-1-1.3 



103,997 

111,886 

-1-7.6 



34,588 

37,551 

-1-8.6 



14,471 
15,105 

-1-4.4 



19,246 

20,834 

-1-8.3 



14,953 
16,510 
-1-10.4 



13,617 

14,311 

-1-6.6 



956,810 
960,969 

-I-.4 



341.955 

340,718 

-.4 



118,175 

118,048 

-.1 



203,197 
204,563 

-I-.7 



158,697 
161.403 

-t-1.7 



120,228 
121,136 

+.8 



1,385 
1,478 
-t-6.7 



628 
661 

+5.3 



245 

232 

-5.3 



488 
514 

+5.3 



494 
506 

+2.4 



426 
461 

+8.2 



7,006 
7,883 
+ 12.5 



3.478 
3,733 
+7.3 



1,711 
1,768 

+3.3 



2,133 

2,276 
+6.7 



1,468 
1,595 
+8.7 



1,844 
1,918 

+4.0 



29,496 

31,321 

+6.2 



3,806 
4,041 

+6 2 



2,067 
2,212 
+7.0 



1,907 
1.909 

+.1 



1,022 
1,052 
+2.9 



922 

885 

-4.0 



66,110 
71,204 

+7.7 



26,676 

29,116 

+9.1 



10,448 
10,893 

+4.3 



14,718 

16,135 

+9.6 



11,969 
13,357 
+ 11.6 



10,425 

11,247 

+7.9 



258,094 

250,140 

-3.1 



116,015 

112,226 

-3.3 



32,823 

31,118 

-5.2 



73,711 

72,092 

-2.2 



62,897 
62,593 

-.5 



44,590 

44,321 

-.6 



582,694 
595.655 

+2.2 



203,166 

205,915 

+ 1.4 



70,313 

71,384 

+ 1.5 



116,631 
119.156 

+2.2 



86,482 

89,150 

+3.1 



66.787 
68,000 

+ 1.8 



116.022 
115,174 

-.7 



22.774 

22.577 

-.9 



15,039 

15,546 

+3.4 



12,855 

13,315 

+3.6 



9,318 
9,660 

+3.7 



i,851 
!,815 

-.4 



9,449 
10,503 
+ 11.2 



3,066 
3,001 
-2.1 



1,778 
1,700 
-4.4 



1,824 
1.984 
+8.8 



1.574 
1.516 

-3.7 



1,941 
1,871 
-3.6 



'The number of agencies used in ar^on trends are less than used in compiling trends for other Crime Index offenses. It is not necessary to report arsons by property classification to be included 
in this table. The Modified Crime Index total is the sum of the Crime Index offenses, including arson. 

Violent crimes arc 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 ar^on. 

'Crime offenses include sheriffs' and county law enforcement agencies. State police offenses are not included. 

Forcible rape figures furnished by the stale-level Uniform Crime Reporting (UCR) Program administered by the Illinois Department of State Police were not in accordance with national UCR 
guidelines and were excluded from the forcible rape, violent crime. Crime Index total, and Modified Crime Index total categories. 



153 






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155 



Table 14. — Crime Rates, Offenses Known to the Police, Population Group, 1990 

(1990 population. Rate: Number of crimes per 100,000 inhabitams] 



Population group 



Crime 
Index 
total 



Modified 
Crime 
Index 
total' 



Violent 
crime^ 



Property 
crime' 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 

vehicle 

theft 



Arson' 



TOTAL ALL AGENCIES: 
11,830 agencies; 
population 220,643,000: 

Number of offenses known 
Rate 



TOTAL CITIES: 8,068 cides; 
population 148,133,000: 
Number of offenses known 
Rate 



GROtJP I 

62 cities, 250,000 and over; 
population 44,529,000; 
Number of offenses known 
Rate 



8 cities, 1,000,000 and over; 
population 19,953,000: 
Number of offenses known 
Rate 



16 cities, 500,000 to 999,999; 
population 10,840,000: 
Number of offenses known 
Rate 



38 cities, 250,000 to 499,999; 
population 13,736,000; 
Number of offenses known 
Rate 



Group II 

127 cities, 100,000 to 249.999; 
population 18,518,000: 
Number of offenses known 
Rate 



GROin> III 

314 cities, 50,000 to 99,999; 
population 21,434,000: 
Number of offenses known 
Rate 



13,291,165 
6,023.8 



1,691,885 
766.8 



11,599,280 
5,257.0 



22,022 
10.0 



94,349 
42.8 



608,464 

275.8 



967,050 
438J 



2,799,404 
1,268.7 



7,268,824 
3,294.4 



1,531,052 
693.9 



10,832,004 
7312.4 



1,430,085 
965.4 



9,401,919 
6346.9 



17,731 
12.0 



72,483 
48.9 



553,711 
373.8 



786,160 
530.7 



2,139,614 
1,444.4 



5,954,830 
4,019.9 



1,307,475 
882.6 



4,530,616 
10,174.4 



2,023,484 
10,141.2 



1,054,041 

9,723.2 



1,453,091 
10,578.9 



1,556,590 
8,405.6 



1,426,884 
6,657.1 



807,336 
1,813.0 



447,565 
2,243.1 



143,049 
1,319.6 



216.722 
1,577.8 



190,801 
1,030.3 



155,998 

727.8 



3,723,280 
8,361.4 



1,575,919 
7,898.1 



910,992 
8,403.6 



1,236,369 
9,001.1 



1,365,789 

7,375.3 



1,270,886 
5,929.3 



11,398 
25.6 



6,313 
31.6 



2,375 
21.9 



2.710 
19.7 



2,092 
11.3 



1,440 
6.7 



32,644 
73.3 



12,375 
62.0 



8,215 
75.8 



12,054 
87.8 



11,343 
61.3 



9,695 

45.2 



378,588 
850.2 



227,167 
1,138.5 



65,111 
600.6 



86,310 
628.4 



65,912 
355.9 



47,405 
221.2 



384,706 
863.9 



201,710 
1,010.9 



67,348 
621.3 



115,648 
841.9 



111,454 
601.9 



97,458 
454.7 



884,354 
1,986.0 



364.481 
1,826.7 



212,192 
1,957.4 



307,681 
2,240.0 



331,312 
1,789.1 



291,174 
1,358.5 



2,085,175 
4,682.7 



806,227 
4,040.6 



545,694 
5,033.9 



733,254 
5,338.3 



867,754 
4,685.9 



827,368 
3,860.1 



753,751 
1,692.7 



405,211 
2,030.8 



153,106 
1,412.4 



195,434 
1,422.8 



166,723 
900.3 



152,344 
710.8 



156 



Table 14. — Crime Rates, Offenses Known to the Police, Population Group, 1990 — Contioued 
[1990 population. Rate: Number of crimes per 100,000 inhabitants) 



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' 



Groitp IV 

624 cities, 25,000 to 49.999; 
population 21.624,000: 

Number of offenses known 
Rate 



Group V 

1,413 cities, 10,000 to 24,999; 
population 22,425,000: 
Number of offenses known 
Rate 



Group VI 

5,526 cities under 10,000; 
population 19,602,000: 
Number of offenses known 
Rate 



Suburban Counties 

1,156 agencies; 
population 45,805.000: 
Number of offenses known 
Rate 



Rural Counties* 

2,606 agencies; 
population 26,705,000: 
Number of offenses known 
Rate 



1,265,012 
5,850.0 



1,123,898 
5,011.7 



929,004 
4,739.4 



1,889,775 
4,125.7 



569,386 
2,132.1 



115.602 
534.6 



89,959 
401.1 



70,389 
359.1 



205,985 
449.7 



55,815 
209.0 



1,149,410 
5,315.4 



1.033,939 
4,610.6 



858,615 
4,380.3 



1,683,790 
3.676.0 



513.571 
1.923.1 



1,158 
5.4 



910 

4.1 



733 
3.7 



2.760 
6.0 



1.531 

5.7 



7.823 
36.2 



6.301 
28.1 



4,677 
23.9 



15.550 
33.9 



6.316 
23.7 



32,786 
151.6 



19,346 
86.3 



9,674 
49.4 



50.536 
110.3 



4.217 
15.8 



73,835 
341.4 



63,402 
282.7 



55,305 
282.1 



137,139 
299.4 



43,751 
163.8 



249,884 
1.155.6 



212.665 
948.3 



170.225 
868.4 



470.701 
1.027.6 



189.089 
708.1 



793.185 
3,668.1 



743,430 
3,315.1 



637,918 

3.254.4 



1,023.546 
2,234.6 



290,448 
1.087.6 



106,341 
491.8 



77,844 
347.1 



50,472 

257.5 



189.543 
413.8 



34.034 
127.4 



Suburban Area' 

5,408 agencies; 
population 88,435,000: 
Number of offenses known 
Rate 



4,030,909 
4,558.0 



378,860 
428.4 



3.652.049 
4,129.6 



4,405 
5.0 



26,841 
30.4 



95,931 
108.5 



251,683 
284.6 



870,993 
984.9 



2,410,633 
2,725.9 



370,423 
418.9 



'Arson rales are not presented in this table because fewer agencies furnished complete reports for arson than for the other seven Crime Index offenses. Independently tabulated arson rates 
appear on page 43 of this publication. 

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

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

'Includes state police agencies with no county breakdown. 

'Includes suburban city and county law enforcement agencies within metropolitan areas. Excludes central cities. Suburban cities and counties arc 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 State Police were not in accordance with national UCR 
guideUnes. See Appendix I for details. 



157 



Table 15. Crime Rates, Offenses Known to the Police, Suburban and Nonsuburban Cities', Population Group, 1990 

[1990 population. Rate: Number of crimes per 100,000 inhabitants] 



Population group 


Crime 
Index 
total 


Modified 
Crime 
Index 
total= 


Violent 
crime' 


Property 
crime' 


Murder 
and non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 

vehicle 

theft 


Arson' 


Saburinn Oties 

TOTAL SUBURBAN CITIES: 

4,252 cities; 
populatioii 42,630,000: 

Namber of offenses known ... 
Kate 


2,140,781 

5,021.8 




172,522 
404.7 


1,968,259 

4,617.1 


1,645 

3.9 


10,938 

25.7 


45,395 

106.5 


114,544 

268.7 


400,292 

939.0 


1,387,087 

3,253.8 


180,880 

424.3 








Group IV 

465 cities, 25,000 to 49,999; 
population 16,104,000: 
Number of offenses known . . 
Rate 


884,471 
5,492.1 

722,188 
4,528.0 

534,122 
5,050.3 

1,176,834 
5,598.3 




80,959 
502.7 

56,205 
352.4 

35,358 
334.3 

103,129 
490.6 


803,512 
4,989.4 

665,983 
4,175.6 

498,764 
4,716.0 

1,073,705 
5,107.7 


778 
4.8 

551 

3.5 

316 
3.0 

1,156 
5.5 


4,681 
29.1 

3,815 
23.9 

2,442 
23.1 

7,564 
3«.0 


24,815 
154.1 

14,065 
88.2 

6,515 
61.6 

16,411 

78.1 


50,685 
314.7 

37,774 
236.8 

26,085 
246.6 

77,998 
371.0 


172,564 
1,071.5 

134,797 
845.2 

92,931 
878.7 

232,482 
1,105.9 


544,750 
3,382.6 

470,599 
2,950.6 

371,738 
3,514.9 

787,446 
3,745.9 


86,198 

535.2 

60,587 
379.9 

34,095 

322.4 

53,777 
255.8 




Group V 

1,002 cities, 10,000 to 24,999; 
population 15,949,000: 
Number of offenses known . . 
Rate 




Group VI 

2,785 cities under 10,000; 
population 10,576,000: 
Number of offenses known . . 




Nonsaborbui Cities 

TOTAL NONSUBURBAN 
CITIES: 3J13 cities; 

Number of offenses known . . . 








Group IV 

159 cities, 25,000 to 49,999; 
population 5,520,000: 
Number of offenses known . . 
Rate 


380.285 
6,889.7 

401,669 
6,202.4 

394,880 
4,375.0 




34,387 
623.0 

33,713 
520.6 

35.029 
388.1 


345,898 
6,266.7 

367,956 
5,681.8 

359,851 
3,986.9 


380 
6.9 

359 
5.5 

417 
4.6 


2,886 
52.3 

2,445 
37.8 

2,233 
24.7 


7,971 
144.4 

5,281 
81.5 

3,159 
35.0 


23,150 
419.4 

25,628 
395.7 

29,220 
323.7 


77,320 
1,400.8 

77,868 
1,202.4 

77,294 
856.4 


248,435 
4,501.0 

272,831 
4,212.9 

266,180 
2,949.1 


20,143 
364.9 

17,257 
266.5 

16,377 
181.4 




Group V 

413 cities, 10,000 to 24,999; 
population 6,476,000: 
Number of offenses known . . 




Group VI 

2,741 cities under 10.000; 
population 9,026.000: 
Number of offenses known . 









'Suburban places are within Metropolitan Statistical Areas (MSAs) and include suburban city and county law enforcement agencies within the metropolitan area. Central cities are excluded. 
Nonsuburban places are outside MSAs. 

'Arson rates are not presented in this table because fewer agencies furnished complete reports for arson than for the other seven Crime Index offenses. Independently tabulated arson rates 
appear on page 43 of this publication. 

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

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

Population figures were rounded to the nearest thousand. All rates were calculated on the population before rounding. 

Forcible rape figures furnished by the 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. 



158 



Table 16. — Crime Rates, Offenses Known to the Police, Suburban and Nonsuburinui Counties, Population Group, 1990 

(1990 population. Rate: Number of crimes per 100,000 inhabitants) 



Population group 


Crime 
Index 
total 


Modified 
Crime 
Index 
total' 


Violent 
crime^ 


Property 
crime' 


Murder 
and non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 

vehicle 

theft 


Arson' 


Sabnrbu Counties' 


























100,000 and over 


























109 counties; 
population 27,706,000: 


























Number of ofTenses known . . 
Rate 


1,350,684 
4,875.0 




150,503 
543.2 


1,200,181 
4,331.8 


1,864 

6.7 


9,723 
35.1 


43,997 
158.8 


94,919 
342.6 


320,642 
1,157.3 


734,180 
2,649.9 


145,359 
524.6 




25,000 to 99,999 


























300 counties; 
population 15,450,000: 
Number of offenses known . . 
Rate 


401,438 
2,598.4 




40,325 
261.0 


361.113 

2,337.4 


657 
4.3 


4,014 
26.0 


4,379 
28.3 


31,275 
202.4 


118,901 
769.6 


218,766 
1,416.0 


23,446 
151.8 




Under 25,000 


























747 counties; 
population 2,649,000: 
Number of offenses known 
Rate 


137,670 
5,196.3 




15.174 
572.7 


122.496 
4,623.6 


239 
9.0 


1,830 
69.1 


2,160 
81.5 


10,945 
413.1 


31,158 
1,176.1 


70,600 
2,664.8 


20,738 
782.8 




NoBsabnrbM Counties' 


























25,000 and over 


























272 counties; 
population 10,958,000: 
Number of offenses known . . 
Rate 


234,716 
2,141.9 




22,323 
203.7 


212,393 
1,938.2 


540 
4.9 


2,388 
21.8 


2,090 
19.1 


17,305 
157.9 


75,652 
690.4 


122,982 
1,122.3 


13,759 
125.6 




10,000 to 24,999 


























672 counties; 
population 10,499,000: 
Number of offenses known 
Rate 


177.812 
1,693.6 




16.643 
158.5 


161,169 
1,535.1 


500 
4.8 


1,666 
15.9 


1,112 
10.6 


13,365 

127.3 


62,520 
595.5 


89,031 
848.0 


9,618 
91.6 




Under 10,000 


























1,568 counties; 
population 4,821,000: 
Number of offenses known . . 
Rate 


134,248 
2,784.8 




14,464 
300.0 


119,784 
2,484.8 


456 
9.5 


1,995 

41.4 


880 
18.3 


11,133 
230.9 


43,688 
906.3 


67,383 
1,397.8 


8,713 
180.7 









'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 43 of this publication. 

'Violent crimes arc ofTenses of murder, forcible rape, robbery, and aggravated assault. 

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

^Offenses include sheriffs' and county law enforcement agencies. State police offenses are not included. 

Population figures were rounded to the nearest thousand. Ail 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. 



159 



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161 



Table 18.— Offense Analysis, 1990, and Percent Change from 1989 

(12,884 agencies; 1990 population 227,131,000) 



Classiflcation 



Number of 

offenses 

1990 



Percent 

change over 

1989 



Percent 
distribu- 
tion' 



Average 
value 



MURDER 

FORCIBLE RAPE 

ROBBERY; 

Total 

Street/highway 

Commercial house 

Gas or service station 

Convenience store 

Residence 

Bank 

Miscellaneous 

BURGLARY; 

Total 

Residence (dwelling); 

Night 

Day 

Unlcnown 

Nonresidence (store, office, etc.): 

Night 

Day 

Unknown 

LARCENY-THEFT (EXCEPT MOTOR VEHICLE THEFT): 
Total 

By type; 

Pocket-picking 

Purse-snatching 

ShopUning 

From motor vehicles (except accessories) 

Motor vehicle accessories 

Bicycles 

From buildings 

From coin-operated machines 

All others 

By value; 

Over $200 

$50 to $200 

Under $50 

MOTOR VEHICLE THEFT 



20,930 
94,644 

599,100 



-1-7.8 
-H9.2 



-1-11.2 



335,991 
68,686 
16,436 
36,331 
58,502 
8,855 
74,299 



2,793,447 



-H4.0 
-t-8.1 
-1-5.9 
-1-3.6 
-1-4.5 
-1-17.8 
-1-11.2 



-■3S 



1,847.493 
586,057 
807,126 
454,310 
945,954 
445,491 
238,822 
261,641 



7,286,075 



-3.7 
-2.8 
-5.1 
-2.0 
-3.3 
-2.3 
-7.0 
-2.3 



-I-.4 



73,931 

74,812 

1,183,826 

1,599,349 

1,086,289 

406,322 

1,024,807 

57,940 

1,778,799 

2,606,031 

1.738,324 
2,941,720 

1,515,364 



-1-.7 
-6.3 
-1-3.9 

-I-.5 
-4.6 

+.3 

-.3 
-4.4 
+2.3 

-1-2.3 

-1.5 

-.1 

-1-5.0 



100.0 



56.1 
11.5 
2.7 
6.1 
9.8 
1.5 
12.4 



100.0 



66.1 
21.0 
28.9 
16.3 
33.9 
15.9 
8.5 
9.4 



100.0 



1.0 

1.0 

16.2 

22.0 

14.9 

5.6 

14.1 

.8 

24.4 

35.8 
23.9 
40.4 



$108 
29 



783 



633 
1,341 

442 

341 
1,049 
3,244 

735 



1,133 



1,143 
943 
1,224 
1,263 
1,110 
982 
1,072 
1,362 



480 



355 
278 
115 
541 
319 
215 
791 
147 
671 

1,243 
114 
20 

5,032 



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

Table 19.— Type and Value of Property Stolen and Recovered, 1990 

(12,884 agencies; 1990 population 227,131,000) 





Value of property 


Percent 


Type of property 


Stolen 


Recovered 


recovered 


Total' 


$14,759,357,000 


$5,568,645,000 


37.7 




902,094,000 
1,300,742,000 

355,583.000 
7.694.041,000 

294,318,000 
1,104,798,000 

117,399,000 

253,001,000 

98,568,000 

19,346,000 

2,619,468,000 


55,702,000 

57,709,000 

46,317,000 

5,027,796,000 

22,545,000 

57,117,000 

12,106,000 

17,073,000 

11,784,000 

3,213,000 

257,283,000 


6.2 




4.4 




13.0 




65.3 




7.7 




5.2 




10.3 




6,7 




12.0 




16.6 




9.8 







'All totals and percentages calculated before rounding. 



162 



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 of- 
fender. Examples of circumstances allowing such clear- 
ances 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 22 percent of the 
Crime Index offenses brought to their attention during 
1990. Collectively, a 46-percent clearance rate for violent 
crimes was recorded. Among the violent offenses, the rates 
were 67 percent for murder, 53 percent for forcible rape, 
25 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, 22 percent. 

The highest total Crime Index clearance rate geographi- 
cally was registered in the West, with 23 percent. Following 
were the South with 22 percent, the Midwest with 21 
percent, and the Northeast with 20 percent. For violent 
crime overall, the highest clearance rates were recorded in 
the South and the West, each with 49 percent. In the 
Midwest, the rate was 4 1 percent and in the Northeast, 40 



percent. Property crime clearance rates were 19 percent in 
the West, 1 8 percent in both the South and Midwest, and 
16 percent in the Northeast. 

By community type, rural county and city law enforce- 
ment agencies showed clearances for 22 percent of the 
Crime Index offenses brought to their attention. Those in 
suburban counties cleared 2 1 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 rates were recorded in the rural counties 
and in cities with under 10,000 inhabitants, both with 61 
percent. 

Clearances Involving Only Persons under 18 Years of 
Age 

Involvement of juveniles in crime can be measured by 
the number of crimes in which they have been identified as 
the offenders. Even though no physical arrest has been 
made, a clearance by arrest is recorded when an offender 
under 18 years of age is cited to appear in juvenile court or 
before other juvenile authorities. 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 1 8 years of age) 
accounted for 26 percent of the United States population, 
according to July 1, 1989, Bureau of the Census estimated 
population figures. 

Nineteen percent of the Crime Index offenses cleared by 
law enforcement during 1 990 involved only young people 
under age 18. Persons in this age group accounted for 1 1 
percent of the violent crime clearances and 22 percent of 
those for property crimes. Murder showed the lowest 
percentage of juvenile involvement (8 percent), while the 
highest percentage was shown for arson (38 percent). 

Geographically, the Midwestern States recorded the 
largest percentage of Crime Index offense involvement by 
the under- 18 age group — 21 percent. Juveniles alone were 
the offenders in 20 percent of the clearances in the Western 
States and 1 8 percent of those in both the Southern and 
Northeastern States. 



I 



163 



Crimes Cleared by Arrest 

1990 



e 

u 

a. 




Crimes of 
Violence 

Not Cleared 
Cleared 



Murder 



Aggravated 
Assault 



Forcible 
Rape 



Robbery 



c 
u 

O) 




Crimes Against 
Property 



Not Cleared 



I Cleared 



Burglary 



Larceny - Theft 



Motor Vehicle 
Theft 



164 



Table 20. — Oflenses Known and Percent Cleared by Arrest', Population Group, 1990 

[1990 population] 



Population group 



Crime 
Index 
total 



Modified 
Crime 
Index 

total^ 



Violent 
crime' 



Property 
crime* 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 

vehicle 

theft 



Arson^ 



TOTAL ALL AGENCIES; 

13,054 agencies; 
popuUdon 227,4%,000: 

Oflenses known 

Percent cleared by urest 



TOTAL CITIES: 9,103 cities; 
population 154,145,000: 

Offenses luiown 

Percent cleared by arrest . 



Group I 

59 cities, 250,000 and over, 
population 43,676,000: 

OfTenses known 

Percent cleared by arrest . 
8 cities, 1,000,000 and over; 
population 19,953,000: 

OfTenses known 

Percent cleared by arrest . 
16 cities. 500,000 to 999,999; 
population 10,840,000: 

OfTenses known 

Percent cleared by arrest . 
35 cities, 250,000 to 499,999; 
population 12,883,000: 

OfTenses known 

Percent cleared by arrest . 



Group II 



125 cities, 100,000 to 249,999; 
population 18,089,000: 

OfTenses known 

Percent cleared by arrest .. 



13,468,228 
21.6 



13,569,356 
21.5 



1,700,303 
45.6 



11,767,925 
18.1 



21,950 
67.2 



90,311 

52.8 



610,716 
24.9 



977,326 
57.3 



2,833,650 
13.8 



7,388,768 
20.5 



1,545,507 
14.6 



Groi;p III 

336 cities, 50,000 to 99,999; 
population 22,899,000: 

OfTenses known 

Percent cleared by arrest ... 
See footnotes at end of table. 



10,964,590 

21.7 



11,043.864 
21.6 



1,430.487 
43.9 



9,534,103 
18.3 



17,624 
663 



68,749 

52.7 



554,661 

24.5 



789,453 
56.3 



2,161.960 
13.5 



6,053,427 
21.1 



1,318,716 
13.8 



4,436,511 
19.3 



2,021.758 
18.1 



1,054,041 
19.3 



1,360,712 
21.2 



4,475,740 
19.3 



2,042,777 
18.0 



1,061,881 
19.2 



1,371,082 
21.2 



1,514,880 
21.8 



1,513,345 
22.5 



1.526.032 
21.7 



1,523,325 
22.4 



791,826 
39.3 



445.839 
36.1 



143,049 
40.4 



202,938 
45.4 



3,644,685 
15.0 



1,575,919 
13.0 



910,992 
16.0 



1,157,774 
17.0 



180,974 
46.2 



164,770 
46.7 



1,333,906 
18.5 



1,348,575 
19.5 



11,279 
62.5 



6,313 
58.7 



2,375 
67.0 



2,591 
67.5 



1,963 

72.1 



1,478 
73.9 



30,109 

54.2 



10.649 
50.3 



8,215 
58.5 



11,245 
54.7 



10,666 
50.8 



9,597 
49.0 



373.257 
22.6 



227,167 
20.7 



65,111 
23.9 



80,979 
26.6 



64.367 
27.8 



50,325 
26.6 



377,181 
53.9 



201,710 
52.0 



67,348 
53.2 



108,123 
58.0 



103,978 
56.7 



103,370 
55.8 



861,275 
12.3 



364,481 
11.0 



212,192 
13.0 



284,602 
13.4 



2,039,971 
17.5 



806,227 

15.7 



545,694 

17.6 



688,050 
19.6 



320,972 
13.6 



309,303 
13.0 



850,609 

21.1 



878,159 
22.9 



743,439 
11.3 



405,211 
9.4 



153,106 
14.3 



185,122 
13.1 



162,325 

14.5 



161.113 
13.3 



101,128 
14.9 



79,274 
13.8 



39,229 
9.5 



21,019 
5.5 



7,840 
14.7 



10,370 
13.8 



11,152 
15.1 



9,980 
15.2 



165 



Table 20.— Offenses Known and Percent Cleared by Arrest', 


Population Group, 


1990— Continued 












Population group 


Crime 
Index 
total 


Modified 
Crime 
Index 
total^ 


Violent 
crime' 


Property 
crime* 


Murder 
and non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 

vehicle 

theft 


Arson' 


Group IV 


























658 cities. 25.000 to 49.999; 
population 22.819.000: 


1.314.832 
23.6 


1,322,386 
23.5 


121.684 
48.8 


1,193,148 
21.0 


1.198 
69.5 


7,519 
52.1 


35,103 
28.9 


77.864 
57.2 


260.383 
14.3 


820,005 
23.7 


112.760 
16.6 


7,554 


Percent cleared by arrest 


16.9 


Groijp V 


























1.549 cities. 10,000 to 24,999; 
population 24,496,000: 
Offenses known 


1,192,293 
25.1 


1.198,423 
25.1 


95,582 
53.4 


1,096,711 
22.6 


928 
74.9 


6,125 
52.2 


20,862 
31.1 


67.667 
60.1 


226,713 
15.3 


786,415 
24.8 


83,583 
21.5 


6,130 


Percent cleared by arrest 


24.3 


Group VI 


























6,376 cities under 10.000; 
population 22.165.000: 
Offenses known 


992,729 
24.3 


997.958 
24.2 


75,651 
61.2 


917,078 
21.2 


778 
77.6 


4,733 
57.1 


10,747 
33.8 


59,393 
66.2 


183.314 
16.6 


678,268 
21.9 


55,496 
28.3 


5,229 


Percent cleared by arrest 


24.1 


SUBiniBAN CoimilliS 


























1,199 agencies; 
population 45.906.000: 
Offenses known ... 


1.918.173 
20.7 


1,934.279 
20.6 


211.621 
52.3 


1,706.552 
16.7 


2.767 
68.2 


15.184 

52.5 


51.625 
28.7 


142,045 
60.6 


477.695 
14.4 


1,036,912 
17.7 


191.945 
17.2 


16,106 


Percent cleared by arrest 


18.1 


Rural Counties 


























2.752 agencies; 
population 27.445.000: 
Offenses known 


585.465 
22.3 


591,213 

22.3 


58,195 
61.3 


527,270 
18.1 


1,559 
75.8 


6,378 
54.4 


4.430 
37.0 


45,828 
64.1 


193,995 
15.9 


298.429 

17.7 


34.846 
33.3 


5,748 


Percent cleared by arrest 


21.5 


Suburban Area' 


























6.104 agencies; 
population 93.179.000: 
Offenses known 


4,197,731 
21.8 


4,226.201 
21.8 


398,097 
51.7 


3.799.634 
18.7 


4,484 
67.9 


26.181 

52.4 


100.738 
28.6 


266,694 
60.1 


905.579 
14.5 


2.506.964 
20.5 


387,091 
17.3 


28,470 


Percent cleared by arrest 


18.8 



'Includes offenses cleared by exceptional means. 

niie 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 arc offenses of murder, forcible rape, robbery, and aggravated assault. 

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

'Includes suburban city and county law enforcement agencies within metro[X>litan 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. 



166 



Table 21. — Offenses Known and Percent Cleared by Arrest', Geographic Region and Division, 1990 

[1990 population] 



Geographic 
region/ 
division 


Crime 

Index 

" total 


Modified 
Crime 
Index 
total' 


Violent 
crime' 


Property 
crime' 


Murder 
and non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 

vehicle 

theft 


Arson' 


TOTAL: 13,054 agencies; 
population 227,4%,000: 

Offenses known 

Percent cleared by arrest 


13,468,228 
21.6 


13,569J5« 
21.5 


1,700,303 
45.6 


11,767,925 
18.1 


21,950 
67.2 


90,311 
52.8 


610,716 
24.9 


977,326 

57.3 


2,833,650 
13.8 


7,388,768 
20.5 


1,545,507 
14.6 


101,128 
14.9 


New England 


























700 agencies; population 
10,954,000: 

Offenses known 


566,382 
21.5 


569.669 

21.5 


60,866 
46.8 


505,516 

18.5 


485 
67.2 


3.362 
50.9 


20,486 
25.0 


36,533 
58.4 


122,760 
14.2 


300,297 
21.0 


82,459 
15.5 


3,287 


Percent cleared by arrest 


14.2 


MiDDi,E Atlantic 


























2,338 agencies; population 
36,767,000: 

Offenses known 


1,913,464 
19.2 


1.931.287 
19.1 


306,220 
38.2 


1,607,244 
15.6 


3,790 
64.8 


10,352 
53.9 


153.526 
23.1 


138,552 
52.9 


360,161 
12.6 


938,423 
19.0 


308,660 
8.9 


17,823 


Percent cleared by arrest 


10.7 


Northeast 


























3,038 agencies; population 
47,722,000: 

Offenses known 


2,479,846 
19.7 


2,500,956 
19.7 


367,086 
39.6 


2,112,760 
16J 


4,275 
65.1 


13,714 
53.2 


174,012 
23.4 


175,085 
54.1 


482,921 
13.0 


1,238,720 
19.5 


391,119 
10.3 


21,110 


Percent cleared by arrest 


11.2 


East North Cei<tral 


























2,177 agencies; population 
37,217,000: 

Offenses known 


2,060,025 
19.9 


2,076,820 
19.8 


258.259 
38.4 


1,801,766 

17.2 


3,160 
61.0 


14,166 

43.2 


95.231 
18.9 


145,702 
50.2 


387,502 
11.0 


1.190,938 
19.7 


223,326 
14.9 


16,795 


Percent cleared by arrest 


9.5 


West North Central 


























1,444 agencies; population 
15,729,000: 

Offenses known 


712,376 
23.7 


717,462 
23.6 


66.395 
53.4 


645,981 
20.6 


683 
80.7 


4,536 
57.9 


16,287 
27.5 


44,889 
61.9 


140,293 
14.0 


453,689 

22.5 


51,999 
21.6 


5.086 


Percent cleared by arrest 


15.1 


Midwest 


























3,621 agencies; population 
52,946,000; 

Offenses known 


2,772,401 
20.8 


2,794,282 
20.8 


324,654 
41.4 


2,447,747 
18.1 


3,843 
64.5 


18,702 

46.7 


111,518 
20.1 


190,591 

52.9 


527,795 
11.8 


1,644,627 
20.5 


275,325 
16.1 


21,881 
10.8 


Percent cleared by arrest 


South Atlantic 


























2,386 agencies; population 
42,083,000: 

Offenses known 


2,685.971 
22.8 


2,700,403 
22.8 


351.183 
48.9 


2,334.788 
18.9 


4,740 
69.2 


18,681 

57.7 


113,668 
27.6 


214,094 
59.0 


622,447 
16.3 


1,478,133 
19.8 


234.208 
20.1 


14,432 


Percent cleared by arrest 


22.0 


East South Central 


























714 agencies; population 
7,992,000: 

Offenses known 


385,443 
22.5 


388,316 

22.5 


47,746 
51.9 


337,697 
18.4 


923 
72.9 


3,773 
54.4 


12,772 
30.0 


30,278 
60.1 


95,689 
13.8 


204,964 
20.8 


37,044 
17.1 


2,873 


Percent cleared by arrest 


19.1 


West South Central 


























1,384 agencies; population 
25,381,000: 

Offenses known 


1.847,594 
20.8 


1,860,521 
20.8 


190,804 
48.8 


1,656,790 
17.6 


3.486 
70.5 


12.664 
58.6 


61.514 
27.9 


113,140 
58.4 


436.761 
14.3 


1,016,376 
19.6 


203.653 
15.1 


12,927 


Percent cleared by arres^ .... 


20.1 



See footnotes at end of table. 



167 



Table 21. — Offenses Known and Percent Cleared by Arrest', Geographic Region and Division, 1990 — Continued 



Geographic 
region/ 
division 


Crime 
Index 
total 


Modified 
Crime 
Index 
total' 


Violent 
crime' 


Property 
crime* 


Murder 
and non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 

vehicle 

theft 


Arson' 


South 


























4,484 agencies; population 
75,456,000: 


4,919,008 
22.1 


4,949,240 
22.1 


589,733 
49.1 


4,329,275 
18.4 


9,149 
70.0 


35,118 

57.7 


187,954 
27.8 


357,512 
58.9 


1,154,897 
15.3 


2,699,473 
19.8 


474,905 

17.7 


30,232 
20.9 


Percent cleared by anest 


MoimTAIN 


























745 agencies; population 
12,942,000: 


816,661 
23.9 


821,727 
23.9 


66,757 
54.9 


749,904 
21.1 


747 
75.2 


5,451 
49.0 


14,391 
28.6 


46,168 
63.5 


164,933 
12.7 


520,738 
24.2 


64,233 
18.1 


5,066 


Percent cleared by arrest 


22.5 


Pacific 


























1,166 agencies; population 
38,430,000: 


2,480,312 

22.4 


2,503,151 

22.3 


352,073 
47.9 


2,128,239 
18.2 


3,936 
64.1 


17,326 
50.3 


122,841 
26.7 


207,970 
59.9 


503,104 
13.5 


1.285,210 
21.3 


339,925 
13.5 


22,839 


Percent cleared by arrest 


12.7 


West 


























1,911 agencies; population 
51,372,000: 


3,296,973 
22.8 


3,324,878 

22.7 


418,830 
49.0 


2,878,143 
19.0 


4,683 
65.9 


22,777 
50.0 


137,232 
26.9 


254,138 
60.5 


668,037 
13.3 


1,805,948 
22.1 


404,158 
14.2 


27,905 


Percent cleared by arrest 


14.5 



'Includes offenses cleared by exceptional means. 

n^e 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 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 not included for the property crime of arson. 

Forcible rape figures furnished by the state-level Uniform Crime Reportmg (UCR) Program administered by the Illmois 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. 



168 



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I a 13 



Table 23.— Offenses Oeared by Arrest' of Persons Under 18 Years of Age, 1990 

[1990 population] 



Population group 



Crime 
Index 
total 



ModiTied 
Crime 
Index 
total' 



Violent 
crime' 



Property 
crime* 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 

vehicle 

theft 



Arson' 



TOTAL ALL AGENCIES 
12,901 agencies; 
population 217,061,000: 

Total clearances 

Percent under 18 



TOTAL CITIES: 9,077 dUes; 
population 145,155,000: 

Total clearances 

Perceot under 18 



Group I 

57 cities, 250,000 and over; 
population 35,743.000: 

Total clearances 

Percent under 18 

7 cities, 1,000.000 and oven 
population 12,631,000: 

Total clearances 

Percent under 18 

15 cities, 500,000 to 999,999; 
population 10,230,000: 

Total clearances 

Percent under 18 

35 cities, 250,000 to 499,999; 
population 12,883,000: 

Total clearances 

Percent under 18 



GROin> 11 

122 cities, 100,000 to 249,999; 
population 17,597.000: 

Total clearances 

Percent under 18 



GROtJP III 

332 cities, 50,000 to 99,999; 
population 22,639.000: 

Total clearances 

Percent under 18 



Grolip rv 

656 cities, 25,000 to 49,999; 
population 22.758,000: 

Total clearances 

Percent under 18 



2,755,423 
19.2 



2,240,513 
19J 



741,227 
14.9 



263,178 
12.1 



188,961 
15.9 



289,088 
16.9 



318,444 
18.6 



336,474 
21.8 



308,745 
22.7 



2,770,179 
19.3 



2,251,156 
19.4 



705,487 2,049,936 
11.2 22.0 



744,767 
15.0 



264,333 
12.2 



189,919 
16.0 



290,515 
17.0 



320,048 
18.8 



337,984 
21.9 



310,025 
22.7 



561,662 
11.2 



249,493 
10.2 



104,193 
9.1 



53,196 
11.0 



92,104 
1 1.0 



80,537 
11.2 



75,876 
12.5 



59,332 
13.4 



1,678,851 
22.1 



13,037 

7.7 



10,048 
8.2 



491,734 
17.3 



158,985 
14.0 



135,765 

17.8 



196,984 
19.6 



237,907 
21.2 



260,598 
24.4 



249,413 
24.9 



5,488 
8.9 



2,317 
10.3 



1,421 
6.5 



1,750 
9.0 



1,355 
8.3 



1,090 
7.8 



830 
7.1 



44,963 
12.4 



33,766 
11.3 



14,132 
9.2 



3,833 

7.7 



4,148 
10.3 



6,151 
9.5 



5,170 
10.9 



4,679 
12.6 



3,910 
14.5 



128,088 
14J 



111,854 
14.1 



61,155 
12.5 



25,066 

12.5 



14,550 
12.4 



21,539 
12.8 



17,213 
13.8 



13,264 
16.7 



10,150 
18.7 



519,399 
10.4 



405,994 
10.5 



168,718 
9.5 



72,977 
8.0 



33,077 
10.7 



62,664 
10.5 



56,799 
10.5 



56,843 
11.6 



44,442 
12.2 



372,978 
19.3 



275,614 
18.8 



92,921 
13.6 



29,786 
11.7 



25,018 
12.8 



38,117 
15.6 



41,565 

17.1 



39,621 
20.4 



37,104 
22.6 



1,464.595 

22.4 



1,234,188 

22.5 



325.699 
16.5 



100,803 
12.9 



90,218 
16.8 



134,678 
19.0 



173.506 
21.8 



199,782 
25.4 



193,618 
25.6 



212,363 
23.5 



169,049 
23.9 



73,114 
25.6 



28,396 
20.5 



20,529 
28.2 



24.189 
29.3 



22,836 
24.1 



21,195 
23.1 



18,691 

22.2 



14,756 

37.7 



10,643 
40J 



3.540 
34.1 



1,155 
31.7 



958 
39.5 



1,427 
32.4 



1,604 
41.2 



1,510 
43.8 



1.280 
40.9 



171 



Table 23. — Offenses Cleared by Arrest* of Persons Under 18 Years of Age, 1990 — 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 

1,536 cities, 10,000 to 24,999; 
population 24,267,000; 


295,074 

22.4 

240,549 
22.4 

388,030 
19.6 

126,880 
15.9 


296,524 
22.6 

241,808 
22.5 

390,922 
19.7 

128,101 
16.0 


50,235 
11.7 

46,189 
11.3 

109,140 
12.3 

34,685 
7.8 


244,839 
24.6 

194,360 
25.0 

278,890 
22.4 

92,195 
18.9 


681 
6.2 

604 
6.1 

1,847 
6.8 

1,142 
4.6 


3,173 
14.4 

2,702 
12.8 

7,784 
16.8 

3,413 
13.0 


6,439 

15.7 

3,633 
15.6 

14,640 
16.9 

1,594 
10.0 


39,942 
11.0 

39,250 
10.9 

84,869 
11.2 

28,536 

7.2 


34,064 

22.7 

30,339 
25.8 

67,403 

21.2 

29,961 
20.2 


193,257 
25.3 

148,326 
25.2 

179,389 

22.9 

51,018 

17.9 


17,518 
21.4 

15,695 
22.0 

32,098 

22.3 

11,216 
20.6 


1 450 


PerccDt under 18 


46.1 


Group VI 

6,374 cities under 10,000; 
population 22,151,000: 
Total clearances 


1,259 


Percent under 18 


45.0 


Suburban Counties 

1,153 agencies; 
population 44,938,000: 
Total clearances 


2,892 




35.2 


Rural Counties 

2,671 agencies; 
population 26,969,000: 
Total clearances 


1,221 




21.5 






Suburban Area' 

6,050 agencies; 
population 92,066,000: 
Total clearances 


906,877 
21.3 


912,177 
21.5 


203,996 
12.8 


702,881 
23.8 


2,997 
6.6 


13,529 
16.2 


28,590 
17.9 


158,880 
11.7 


129,031 

22.5 


508,158 
24.4 


65,692 
22.3 


5,300 




39.7 







'Includes offenses cleared by exceptional means. 

niie number of agency reports used in arson clearance rates is less than used in compiling clearance rates for other Crime Index offenses. It is not necessary to report clearances by detailed 
property classification to be included in this table. The Modified Crime Index total is the sum of the Crime Index offenses, including arson. 

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

'Property crimes are offenses of burglary. Iarceny-thef\. and motor vehicle thef^. Data are not included for the property crime of arson. 

^Includes suburban city and county law enforcement agencies within metropolitan areas. Excludes central cities. Suburban cities 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. 



172 



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 esti- 
mated 14 million arrests in 1990 for all criminal infrac- 
tions except traffic violations. The highest arrest counts 
among the specific crime categories were for driving under 
the influence, 1.8 million; larceny-theft, 1.6 million; drug 
abuse violations, 1.1 million; and simple assault, 1 million. 

When the arrest volume was related to the total 
United States population, the rate was 5,805 arrests per 
100,000 inhabitants. Among the city population groupings, 
those with more than 250,000 inhabitants recorded the 
highest rate, 7,989, while those with populations from 
10,000 to 24,999 recorded the lowest rate, 5,580. For 
suburban county agencies overall, the arrest rate was 4,4 1 9, 
and for rural county law enforcement, it was 3,636 per 
100,000 inhabitants. 

Regionally, the arrest rates per 100,000 population 
ranged from 5,133 in the Midwest to 6,404 in the West. 
The Northeast recorded an arrest rate of 5,454 and the 
South, 6,024. 

Due to reporting problems at the state levels, arrest data 
for none of the law enforcement agencies in Georgia were 
available. Similarly, arrest data for New Hampshire agen- 
cies were not received in time to meet publication dead- 
lines. Therefore, tables showing the age, sex, or race of 
persons arrested contain no Georgia and New Hampshire 
data. Georgia and New Hampshire arrest totals were 
estimated for inclusion in Table 24, "Total Estimated 
Arrests, United States, 1990." 
Arrest Trends 

The national total number of arrests for all offenses 
except traffic violations increased 4 percent in 1990 as 
compared to the 1989 volume. During the same time 
period, adult arrests were also up 4 percent, while those of 



persons under 18 years of age showed a 5-percent rise. 
When considering only the eight Crime Index offenses, 
increases were recorded for arrests of persons of all ages, 4 
percent; of adults, 3 percent; and of juveniles, 5 percent. 
Overall violent crime arrests were up 12 percent and 
property crime arrests, 1 percent. 

Two-year trends in total arrests for city agencies showed 
a 4-percent rise, 1990 over 1989. Suburban county arrests 
were up 4 percent and rural county arrests, 6 percent. 

Over the 5-year period beginning in 1986, total arrests 
for all offenses were up 1 9 percent, with adult arrests up 2 1 
percent and those of persons under 1 8 years of age up 8 
percent. Total Crime Index arrests increased 15 percent; 
those of adults rose 18 percent and of juveniles under 18 
years of age, 8 percent. During the same years, 1986-1990, 
total violent crime arrests increased 34 percent, and 
property crime arrests were up 10 percent. 

For the decade, 1981-1990, arrests for all offenses were 
up 31 percent; Crime Index arrests, 20 percent; violent 
crime arrests, 45 percent; and property crime arrests, 13 
percent. 

The 1990 drug abuse violation arrest total was down 14 
percent from the 1989 level, 35 percent higher than in 
1986, and 70 percent higher than in 1981. The types of 
drugs involved in violations resulting in arrests during 
1 990 are shown by geographic region in the accompanying 
table. 

Arrests for Drug Abuse Violations, 1990 

[Percent distribution] 



Total' 

Sale/manufacture: 

Heroin or cocaine and their 
derivatives 

Marijuana 

Synthetic or manufactured drugs . . 

Other dangerous nonnarcotic dnigs 
Possession: 

Heroin or cocaine and their 
derivatives 

Marijuana 

Synthetic or manufactured drugs 

Other dangerous nonnarcotic drugs 



United 
States 
total 



100.0 

31.6 

21.0 

6.1 

.6 

3.9 

68.4 



33.3 

23.9 

1.5 

9.7 



North- 
eastern 
States 



100.0 
41.0 

34.5 

4.7 

.5 

1.4 

59.0 



34.2 

21.4 

1.0 

2.4 



Mid- 
western 
Stales 



100.0 
31.7 

11.5 

7.2 

.7 

12.4 

68.3 



19.5 

36.4 

1.5 

10.8 



South- 
em 
States 



28.4 

19.4 
6.4 
1.0 
1.6 

71.6 

30.6 

31.7 

3.0 

6.3 



Western 
Stales 



100.0 
27.9 

16.7 

6.4 

.3 

4,5 
72.1 



39.8 

14.7 

.6 

17.0 



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

Age 

Five percent of all persons arrested nationally in 1990 
were under the age of 15; 16 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, 41 percent of those in the 
suburban counties, and 40 percent of those in the rural 
counties. 



173 



Age distribution figures for persons arrested for Crime 
Index offenses showed 28 percent were under the age of 1 8; 
43 percent, under 21; and 57 percent, under 25. The under- 
25 age group was also responsible for 47 percent of the 
violent crime arrests and 60 percent of property crime 
arrests in 1990. 

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 1990 were males. They accounted for 78 percent of 
Index crime arrests, 89 percent of those for violent crimes, 
and 75 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 78 percent of arrests of women for Index 
crimes and 19 percent of all female arrests. Fifty-two 
percent of all female larceny-theft arrestees were under 25 
years of age. 

Two-year trends showed a 4-percent increase in the 
number of male arrests from 1989 to 1990 and a 6-percent 
rise in female arrests for the same period. Arrests of males 
were up 1 8 percent and those of females up 24 percent for 
the 5-year period from 1986 to 1990. 

Race 

Race distribution figures for the total number of arrests 
in the United States during 1990 showed 69 percent of the 
arrestees were white, 29 percent were black, and the 
remainder were of other races. Whites accounted for 64 
percent of the Index crime arrests, 54 percent of the arrests 
for violent crimes, and 67 percent of those for property 
crimes. 



Table 24.— Total Estimated Arrests', United States, 1990 



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 



14.195.100 



22,990 

39,160 

167,990 

475,330 

432,600 

1,554,800 

211,300 

19J00 



705,500 
2,217.800 



2,923,300 



1,014,100 

94,800 

291,600 



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 

Suspicion (not included in totals) 

Curfew and loitering law violations 

Runaways 



15,300 

165,200 

326,000 

221,200 

111,400 

107,600 

,089,500 

19,300 

85,800 

,810,800 

714,700 

910,100 

733,000 

38,500 

,267,800 

22,200 

80.800 

174,200 



'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. 



174 



Table 25.— Arrests, Number and Rate, Regions, 1990 

[Rate: Number of arrests per 100,000 inhabitants] 



OfTense charged 



United Stales Total 

(10,206 agencies; 

population 193,507,000) 



Northeast 

(2,172 agencies; 

population 36,749,000) 



Midwest 

(2,776 agencies; 

population 44,985,000) 



South 

(3,630 agencies; 

population 62,915,000) 



West 

(1,628 agencies; 

population 48,857,000) 



TOTAL 

Rut . 



Murder and nonnegligent manslaughter 

Rate 

Forcible rape 

Rale 

Robbery 

Rate 

Aggravated assault 

Rate 

Burglary 

Rate 

Larceny-theft 

Rate 

Motor vehicle thefl 

Rate 

Arson 

Rate 



Violent crime' . 

Rate 

Property crime' 

Rate 



Crime Index total' 
Rate 



Other assaults 

Rate 

Forgery and counterfeiting 

Rate 

Fraud 

Rate 

Embezzlement 

Rate 

Stolen properiy; buying, receiving, 
possessing 

Rate 

Vandalism 

Rate 

Weapons; carrying, possessing, etc. . . . 

Rate 

Prostitution and commercialized vice 

Rate 

Sex offenses (except forcible rape and 
prostitution) 

Rate 

Drug abuse violations 

Rate 

Gambling 

Rate 

Offenses against family and children . 

Rate 

Driving under the influence 

Rate 

Liquor laws 

Rate 

Drunkenness 

Rale 

Disorderly conduct 

Rate 

Vagrancy 

Rate 

All other offenses (except traffic) 

Rate 

Suspicion (not included in totals) 

Rale 

Curfe\^' and loitering law violations .. 

Rale 

Runaways 

Rale 



11,232,330 
5,804.6 



18.298 

9.5 

30.966 

16.0 

136,300 

70.4 

376,917 

194.8 

341,192 

176.3 

1,241,236 

641.4 

168,338 

87.0 

14,974 

7.7 



562,481 

290.7 

1,765.740 

912.5 



2,328,221 
1,203.2 



801,425 

414.2 

74,393 

38.4 

279.776 

144.6 

12,055 

6.2 

131.656 

68.0 

256,558 

132.6 

176,137 

91.0 

91,093 

47.1 

84,852 

43.8 

869,155 

449.2 

15.443 

8.0 

65.992 

34.1 

1,390,906 

718.8 

552,039 

285.3 

716,504 

370.3 

579,674 

299.6 

31,237 

16.1 

2.572,491 

1,329.4 

17,753 

9.2 

64,568 

33.4 

138,155 

71.4 



2,004,405 
5,454.3 



2,516 
6.8 

5,088 

13.8 

43,308 

117.8 

67,136 

182.7 

53,332 

145.1 

196,000 

533.3 

29,285 

79.7 

2,653 

7.2 



118,048 
321.2 

281,270 
765.4 



399,318 
1,086.6 



136,329 

371.0 

10,897 

29.7 

48,730 

132.6 

929 

2.5 

36,270 

98.7 

63,211 

172.0 

25,646 

69.8 
18,282 

49.7 

10,946 

29.8 

201,234 

547.6 

4,187 

11.4 

19,259 

52.4 

159,079 

432.9 

63,779 

173.6 

14,042 

38.2 

182,514 

496.6 

6,461 

17.6 

582,243 

1,584.4 

1,386 

3.8 

3,938 

10.7 

17,111 

46.6 



2,309,181 
5,133.2 



3,985 

8.9 

7,053 

15.7 

18,535 

41.2 

58,974 

131.1 

54,608 

121.4 

281,996 

626.9 

25,316 

56.3 

3,609 

8.0 



88,547 

196.8 

365,529 

812.6 



454,076 
1,009.4 



184,874 

411.0 

13.314 

29.6 

46,660 

103.7 

1,657 

3.7 

28.680 
63.8 

70.129 
155.9 

36,374 
80.9 

14,903 
33.1 

1 7.990 

40.0 

105,225 

233,9 

2,300 

5.1 

18,702 

41.6 

289,257 

643.0 

205.602 

457.0 

64,232 

142.8 

169.562 

376.9 

2,100 

4.7 

520,132 

1,156.2 

1,954 

4.3 

26,041 

57.9 

37,371 

83.1 



3,789,942 
6,023.9 



7,015 

11.1 

10,889 

17.3 

36,376 

57.8 

117,606 

186.9 

121,363 

192.9 

407,059 

647.0 

50,936 

81.0 

4,628 

7.4 



171,886 
273.2 

583,986 
928.2 



755,872 
1,201.4 



278,293 

442.3 

32,301 

51.3 

161,078 

256.0 

6,437 

10.2 

27,837 
44.2 

60,381 
96.0 

66,896 
106.3 

24,491 
38.9 

23,341 

37.1 

258,278 

410.5 

5,440 

8.6 

19,658 

31.2 

402,665 

640.0 

134,109 

213.2 

444,981 

707.3 

147,163 

233.9 

3,026 

4.8 

878,686 

1,396.6 

13,933 

22.1 

9,019 

14.3 

49,990 

79.5 



3,128,802 
6.404.0 



4,782 

9.8 

7,936 

16.2 

38,081 

77.9 

133.201 

272.6 

111,889 

229.0 

356,181 

729.0 

62,801 

128.5 

4,084 

8.4 



184,000 

376.6 

534,955 

1 ,094.9 



718,955 
1,471.6 



201,929 

413.3 

17,881 

36.6 

23,308 

47.7 

3,032 

6.2 

38,869 
79.6 

62.837 
128.6 

47.221 
96.7 

33,417 
68.4 

32,575 

66.7 

304,418 

623.1 

3,516 

7.2 

8,373 

17.1 

539,905 

1,105.1 

148,549 

304.0 

193,249 

393,5 

80,435 

164.6 

19,650 

40.2 

591.430 

1,210.5 

480 

1.0 

25,570 

52.3 

33,683 

68.9 



'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. Population figures were rounded to the nearest thousand. All rates were calculated before rounding. 



175 



"a= 








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177 



Table 27.— ToUl Arrest Trends, 1981-1990 

[7,568 agencies; 1990 population 156,650,000] 





Number of persons arrested 


Offense charged 


Total all ages 


Under 18 years o 


age 


18 years of age and 


over 


1981 


1990 


Percent 
change 


1981 


1990 


Percent 
change 


1981 


1990 


Percent 
change 


TOTAL 


6,852,016 


8,965,099 


+30.8 


1,341,050 


1,410,737 


+5.2 


5,510,966 


7,554362 


+37.1 






Murder and nonnegligent manslaughter 


13,315 

19,724 

87,118 

183,075 

345,444 

847,994 

82,550 

13,878 


14,689 

24,725 

94,410 

306,322 

285,709 

1,031,714 

133,583 

12,608 


+ 10.3 

+25.4 
+8.4 
+67.3 
-17.3 
+21.7 
+61.8 
-9.2 


1.251 

2,849 

22,564 

26,576 

150.166 

303.353 

34.152 

6.263 


2.003 

3.651 

21.497 

41,599 

95,208 

310.854 

58.935 

5.705 


+60.1 
+28.2 

-4.7 
+56.5 
-36.6 

+2.5 
+72.6 

-8.9 


12,064 

16.875 

64.554 

156.499 

195.278 

544.641 

48.398 

7.615 


12,686 

21,074 

72,913 

264,723 

190,501 

720,860 

74,648 

6,903 


+5.2 
+24.9 


Robberv 


+ 12.9 




+69.2 




-2.4 




+32.4 




+54.2 




-9.3 








303,232 
1,289,866 


440,146 
1,463,614 


+45.2 
+ 13.5 


53,240 
493,934 


68,750 
470,702 


+29.1 

-4.7 


2'49,992 
795,932 


371,396 
992,912 


+48.6 




+24.7 






Prime Index total^ 


1,593.098 


1,903,760 


+19.5 


547,174 


539,452 


-1.4 


1,045,924 


1,364,308 


+30.4 








325,269 
58,231 

179,124 

5,858 

86,626 

162,309 

115,326 

61,647 

50,356 

402,116 

19,625 

32,574 

1,013,178 

315,882 

792,371 

391,319 

24,035 

1,089,029 

11,276 

41,669 

92,374 


644,940 
61.420 
236,285 
11.070 
1 10,303 
209,214 
140,297 

70,116 

71,477 

682.367 

10,707 

52,231 

1,165,284 

448,520 

610,100 

440,882 

23,077 

1,908,316 

10,406 

52,738 

111.995 


+98.3 

+5.5 

+31.9 

+89.0 

+27.3 
+28.9 
+21.7 

+ 13.7 

+41.9 
+69.7 
-45.4 
+60.3 
+ 15.0 

+42.0 
-23.0 
+ 12.7 

-4.0 
+75.2 

-7.7 
+26.6 
+21.2 


55,761 

6,414 

4,845 

661 

24.958 

78.187 

18.329 

1.921 

8.425 

69.383 

578 

1.837 
19,875 

97,803 
29.022 
65.277 

2.962 
173.595 

2.197 
41.669 
92.374 


96,098 

5,143 

5,602 

798 

29,591 

84,773 

25,884 

1,015 

11,129 

50,435 

554 

2,002 

12,972 

97,456 

16,414 

73,726 

2,318 

190,642 

1,399 

52,738 

111,995 


+72.3 
-19.8 
+ 15.6 
+20.7 
+ 18.6 
+8.4 
+41.2 

-47.2 

+32.1 

-27.3 

-4.2 

+9.0 

-34.7 

-.4 
-43.4 
+ 12.9 
-21.7 
+9.8 
-36.3 
+26.6 
+21.2 


269.508 
51.817 

174.279 

5.197 

61.668 

84.122 

96.997 

59,726 

41.931 

332.733 

19.047 

30.737 

993.303 

218.079 
763.349 
326.042 
21.073 
915,434 
9,079 


548,842 
56,277 

230,683 
10,272 
80,712 

124,441 

114,413 

69,101 

60,348 

631,932 

10,153 

50,229 

1,152,312 

351,064 

593,686 

367,156 

20,759 

1,717,674 

9.007 


+ 103.6 




+8.6 




+32.4 




+97.7 


Stolen property; buying, receiving, possessing . 


+30.9 

+47.9 




+ 18.0 




+ 15.7 


Sex offenses (except forcible rape and 


+43.9 




+89.9 




-46.7 




+63.4 




+16.0 




+61.0 




-22.2 




+12.6 




-1.5 




+87.6 




-.8 























'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 
'Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 
'Includes arson. 



178 



Table M.— TotoU Arrest Trends, Sex, 1981-1990 
(7,568 agencies; 1990 population 156,650,000) 



OfTense charged 



Males 



Total 



1981 



1990 



Percent 
change 



Under 18 



1981 



1990 



Percent 
change 



Females 



Total 



1981 



1990 



Percent 
change 



Under 18 



1981 



1990 



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 ... 
Rimaways 



5,723,517 



7,290,217 



+27.4 



1,057,607 



1,087,759 



+2.9 



1,128,499 



1,674,882 



+48.4 



283,443 



322,978 



11,649 

19,549 

80,636 

160,584 

322.180 

595,574 

74,688 

12,352 



13,083 

24,457 

86,719 

266,037 

259,936 

697,632 

119,797 

10,967 



+ 12.3 
+25.1 
+7.5 
+65.7 
-19.3 
+ 17.1 
+60.4 
-11.2 



1,139 

2,805 

20,854 

22,617 

140,058 

222,859 

30,308 

5,699 



1,895 

3,585 

19,822 

35,421 

87,390 

222,711 

52,396 

5.150 



+66.4 
+27.8 

-4.9 

+56.6 

-37.6 

-.1 

+72.9 

-9.6 



1,666 

175 

6,482 

22,491 

23,264 

252,420 

7,862 

1,526 



1,606 

268 

7,691 

40,285 

25,773 

334,082 

13,786 

1,641 



-3.6 

+53.1 
+ 18.7 
+79.1 
+ 10.8 
+32.4 
+75.3 
+7.5 



112 

44 

1.710 

3,959 

10,108 

80.494 

3,844 

564 



108 

66 

1.675 

6.178 

7.818 

88.143 

6.539 

555 



272,418 
1,004,794 



390.296 
1.088.332 



+43.3 
+8.3 



47,415 
398,924 



60,723 
367.647 



+28.1 
-7.8 



30,814 
285,072 



49,850 

375.282 



+61.8 
+31.6 



5.825 
95,010 



8,027 
103,055 



1,277,212 



1,478,628 



+ 15.8 



446.339 



428.370 



-4.0 



315,886 



425,132 



+34.6 



100,835 



111.082 



278.945 

39.498 

103.918 

4.113 

77.126 
147.745 
107.027 

17.716 

46,399 

347,235 

17,769 

28,842 

907,283 

266,098 

729,666 

327,751 

19,684 

909,623 

9,813 

30,937 

38,930 



540,410 

39,431 

126,407 

6,461 

97,049 
186,335 
130,118 

26,892 

65,766 

566,248 

9,241 

43,642 

1,017,380 

365,609 

548.946 

358.145 

19.692 

1,577,066 

8,811 

38,077 

48,674 



+93.7 

-.2 

+21.6 

+57.1 

+25.8 
+26.1 
+21.6 

+51.8 

+41.7 
+63.1 
-48.0 
+51.3 
+ 12.1 

+37.4 
-24.8 
+9.3 
(4) 
+73.4 
-10.2 
+23.1 
+25.0 



43,738 

4,448 

3,479 

495 

22,796 
71,806 
17.314 

587 

7.882 

57.927 

540 

1.065 
17.643 

74,419 

24,951 

53,111 

2,488 

136,712 

1,814 

30,937 

38,930 



73,651 

3.375 

3.640 

485 

26.805 
77.637 
24.326 

475 

10,415 

44,460 

523 

1,308 

11,214 

70,288 
13,875 
58,420 

1,938 
149,803 

1,167 
38,077 
48,674 



+68.4 

-24.1 

+4.6 

-2.0 

+ 17.6 

+8.1 

+40.5 

-19.1 

+32.1 
-23.2 
-3.1 
+22.8 
-36.4 

-5.6 

-44.4 
+ 10.0 
-22.1 
+9.6 
-35.7 
+23.1 
+25.0 



46.324 

18.733 

75.206 

1.745 

9.500 
14.564 
8,299 

43,931 

3,957 

54.881 

1.856 

3.732 

105,895 

49,784 

62,705 

63,568 

4,351 

179,406 

1,463 

10.732 

53,444 



104.530 

21.989 

109.878 

4,609 

13,254 
22,879 
10,179 

43,224 

5,711 

116,119 

1.466 

8.589 

147,904 

82.911 

61.154 

82.737 

3.385 

331.250 

1,595 

14,661 

63,321 



+ 125.6 
+ 17.4 
+46.1 

+ 164.1 

+39.5 
+57.1 
+22.7 

-1.6 

+44.3 
+ 111.6 

-21.0 
+ 130.1 

+39.7 

+66.5 
-2.5 
+30.2 
-22.2 
+84.6 
+9.0 
+36.6 
+ 18.5 



12,023 

1.966 

1.366 

166 

2.162 
6.381 
1.015 

1,334 

543 

11,456 

38 

772 
2,232 

23.384 
4.071 
12.166 

474 
36.883 

383 
10.732 
53.444 



22.447 

1,768 

1,962 

313 

2.786 
7.136 
1.558 

540 

714 

5,975 

31 

694 
1.758 

27.168 

2.539 

15.306 

380 
40.839 

232 
14.661 
63,321 



+13.9 



-3.6 
+50.0 

-2.0 
+56.0 
-22.7 

+9.5 
+70.1 

-1.6 



+37.8 
+8.5 



+ 10.2 



+86.7 
-10.1 
+43.6 
+88.6 

+28.9 
+ 11.8 
+53.5 

-59.5 

+31.5 
-47.8 
-18.4 
-10.1 
-21.2 

+ 16.2 
-37.6 
+25.8 
-19.8 
+ 10.7 
-39.4 
+36.6 
+ 18.5 



'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 
H'roperty crimes arc oPTenses of burglary, larceny-theft, motor vehicle theft, and arson. 
'Includes arson. 
<Less than one-tenth of I percent. 



179 



Table 29— Total Arrest Trends, 1986-1990 

(8,328 agencies; 1990 population 167,771,000] 



Offense charged 



Number of persons arrested 



Total all ages 



1986 



1990 



Percent 
change 



Under 18 years of age 



1986 



1990 



Percent 
change 



1 8 years of age and over 



1986 



1990 



Percent 
change 



TOTAL 

Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny — thefl 

Motor vehicle theft 

Arson 

Violent crime' 

Property crime' 

Crime Index total' 

Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, possessing 

Vandalism 

Weapons; carrying, possessing, etc 

Prostitution and commercialized vice 

Sex offenses (except forcible rape and 

prostitution) 

Drug abuse violations 

Gambling 

Offenses against family and children 

Driving under the influence 

Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) 

Suspicion (not included in totals) 

Curfew and loitering law violations 

Runaways 



8,1S8,746 



12,863 

25,058 

85,226 

230,039 

313,850 

993,046 

106,722 

12,985 



353,186 
1,426,603 



1,779,789 



511,813 
62,686 

202,033 

7,901 

92,790 

187,449 

138,637 

70,248 

71,371 

544,784 

15,342 

38,615 

1,224,653 

389,838 

682,096 

430,941 

24,821 

1,506,287 

11,471 

51,899 

124,753 



9,693,191 



15,780 

27,398 

101,453 

328,538 

306,777 

1,110,803 

143,745 

13,326 



473,169 
1,574,651 



2,047,820 



717,996 
65,744 
238,729 
10,840 
114,861 
225,418 
153,290 

78,179 

77,575 

735,001 

11,914 

53,532 

1,256,686 

487,614 

660,624 

476,892 

25,247 

2,071,905 

17,050 

56,712 

126,612 



+18.8 



1,424,482 



1,537,568 



+7.9 



6,734,264 



8,155,623 



+22.7 

+9.3 

+ 19.0 

+42.8 

-2.3 

+ 11.9 

+34.7 

+2.6 



1,126 

3,958 

18,570 

29,912 

1 14,924 

324,469 

43,185 

5,450 



2,169 

4,088 

22,886 

44,613 

102,743 

336,631 

63,975 

5,946 



+92.6 

+3.3 

+23.2 

+49.1 

-10.6 

+3.7 

+48.1 

+9.1 



11.737 

21,100 

66,656 

200,127 

198,926 

668,577 

63,537 

7,535 



13,611 

23,310 

78,567 

283,925 

204,034 

774,172 

79,770 

7,380 



+34.0 
+ 10.4 



53,566 
488,028 



73,756 
509,295 



+37.7 
+4.4 



299,620 
938,575 



399,413 
1,065,356 



+ 15.1 



541,594 



583,051 



+7.7 



1,238,195 



1,464,769 



+40.3 
+4.9 
+ 18.2 
+37.2 
+23.8 
+20.3 
+ 10.6 

+11.3 

+8.7 
+34.9 
-22.3 
+38.6 

+2.6 

+25.1 
-3.1 

+ 10.7 
+ 1.7 

+37.6 

+48.6 
+9.3 
+ 1.5 



74,490 

6,253 

4,800 

582 

24,617 

81,349 

21,644 

1,806 

11,966 

57,028 

497 

2,178 

19,218 

111,214 

23,823 

66,490 

2,308 

195,973 

2,207 

51,899 

124,753 



106,001 

6,173 

5,879 

809 

30,777 

92,276 

28,097 

1,171 

12,063 

55,891 

709 

2,169 

14,234 

107,233 

18,038 

78,665 

2,386 

208,622 

2,980 

56,712 

126,612 



+42.3 
-1.3 
+22.5 
+39.0 
+25.0 
+ 13.4 
+29.8 

-35.2 

+.8 

-2.0 

+42.7 

-.4 
-25.9 

-3.6 

-24.3 

+ 18.3 

+3.4 

+6.5 

+35.0 

+9.3 

+ 1.5 



437,323 
56,433 

197,233 

7,319 

68,173 

106,100 

116,993 

68,442 

59,405 

487,756 

14,845 

36,437 

1.205,435 

278,624 

658,273 

364,451 

22,513 

1,310,314 

9,264 



611,995 
59,571 

232,850 
10,031 
84,084 

133,142 

125,193 

77,008 

65,512 

679,110 

11,205 

51,363 

1,242,452 

380,381 

642,586 

398,227 

22,861 

1,863,283 

14,070 



+21.1 



+ 16.0 
+ 10.5 
+ 17.9 
+41.9 

+2.6 
+ 15.8 
+25.5 

-2.1 



+33.3 
+ 13.5 



+ 18.3 



+39.9 

+5.6 
+ 18.1 
+37.1 
+23.3 
+25.5 

+7.0 

+ 12.5 

+ 10.3 
+39.2 
-24.5 
+41.0 

+3.1 

+36.5 

-2.4 

+9.3 

+1.5 

+42.2 

+51.9 



'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 
H'ropcrty crimes are offenses of burglary, larceny-thefl, motor vehicle theft, and arson. 
'Includes arson. 



180 



Table 30.— Total Arrest Trends, Sex, 1986-1990 
[8,328 agencies; 1990 population 167,771,000) 



Offense charged 



Males 



Total 



1986 



1990 



Percent 
change 



Under 18 



1986 



1990 



Percent 
change 



Females 



Total 



1986 



1990 



Percent 
change 



Under 18 



1986 



1990 



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 



6,710,709 



7,892,548 



+ 17.6 



1,095,694 



1.184,342 



+8.1 



1,448,037 



1,800,643 



+24.4 



328,788 



353,226 



11,291 

24,775 

78,654 

200,362 

288,273 

686,172 

96,432 

11,231 



14,080 

27,107 

93,126 

285,135 

279,487 

753,805 

128,849 

11,590 



+24.7 
+9.4 

+ 18.4 

+42.3 
-3.0 
+9.9 

+33.6 
+3.2 



1,054 

3,884 

17,424 

25,341 

106,151 

237,771 

38,467 

4,907 



2,060 

4,024 

21.147 

37,915 

94,377 

241,279 

56,844 

5,376 



+95.4 

+3.6 

+21.4 

+49.6 

-11.1 

+ 1.5 

+47.8 

+9.6 



1,572 

283 

6,572 

29,677 

25,577 

306,874 

10,290 

1,754 



1,700 

291 

8,327 

43,403 

27.290 

356,998 

14,896 

1,736 



+8.1 

+2.8 
+26.7 
+46.3 

+6.7 
+ 16.3 
+44.8 

-1.0 



72 

74 

1,146 

4,571 

8,773 

86,698 

4,718 

543 



109 

64 

1,739 

6.698 

8.366 

95.352 

7,131 

570 



315,082 
1,082,108 



419,448 
1,173,731 



+33.1 
+8.5 



47,703 
387,296 



65,146 

397,876 



+36.6 

+2.7 



38,104 
344,495 



53,721 
400,920 



+41.0 
+ 16.4 



5,863 
100,732 



8,610 
111,419 



1,397,190 



1,593,179 



+ 14.0 



434,999 



463,022 



+6.4 



382,599 



454,641 



+ 18.8 



106.595 



120,029 



434,020 
41,067 
109,870 

4.757 

82,146 
167,472 
128,316 

26,538 

65,516 

462,525 

1 3,646 

32,388 

1,082,636 

320,852 

621,531 

356.938 

21,370 

1,252,099 

9,836 

37,087 

52,745 



601,994 

42,461 

128,137 

6,334 

101,139 
200,847 
142.012 

30,859 

71,329 

611,349 

10,415 

43,332 

1,096,199 

396,934 

594,521 

386,076 

21,557 

1,718,107 

14,506 

40,640 

55,127 



+38.7 

+3.4 

+ 16.6 

+33.2 

+23.1 
+ 19.9 
+ 10.7 

+ 16.3 

+8.9 
+32.2 
-23.7 
+33.8 

+ 1.3 

+23.7 

-4.3 

+8.2 

+.9 

+37.2 

+47.5 

+9.6 

+4.5 



57,461 
4,220 
3,339 

342 

22,360 
73,792 
20,304 

• 628 

11,083 

48,611 

473 

1,342 

16,640 

81,963 

20,203 

53,536 

1,896 

152,670 

1,748 

37,087 

52,745 



81,366 

4,117 

3,840 

498 

27,848 
84,559 
26,435 

540 

11,268 
49,593 

677 

1,408 

12,281 

77,090 

15,326 

62,385 

1,999 

164,323 

2.411 

40,640 

55,127 



+41.6 

-2.4 

+ 15.0 

+45.6 

+24.5 
+ 14.6 
+30.2 

-14.0 

+ 1.7 
+2.0 

+43.1 
+4.9 

-26.2 

-5.9 

-24.1 

+ 16.5 

+5.4 

+7.6 

+37.9 

+9.6 

+4.5 



77,793 

21,619 

92,163 

3,144 

10,644 
19,977 
10,321 

43,710 

5,855 

82,259 

1,696 

6,227 

142,017 

68,986 

60.565 

74.003 

3,451 

254,188 

1,635 

14,812 

72,008 



116.002 

23.283 

110,592 

4,506 

13,722 
24,571 
11,278 

47,320 

6,246 

123,652 

1.499 

10,200 

160,487 

90,680 
66,103 
90,816 

3,690 
353,798 

2,544 
16,072 
71,485 



+49.1 

+7.7 

+20.0 

+43.3 

+28.9 

+23.0 

+9.3 

+8.3 

+6.7 
+50.3 
-11.6 
+63.8 
+ 13.0 

+31.4 
+9.1 

+22.7 
+6.9 

+39.2 

+55.6 

+8.5 

-.7 



17,029 

2,033 

1,461 

240 

2,257 
7,557 
1,340 

1.178 

883 

8,417 

24 

836 
2,578 

29,251 

3,620 

12.954 

412 
43,303 

459 
14,812 
72,008 



24,635 

2,056 

2,039 

311 

2,929 
7,717 
1,662 

631 

795 

6,298 

32 

761 
1,953 

30.143 
2.712 
16,280 

387 
44,299 

569 
16,072 
71,485 



+7.4 



+51.4 
-13.5 
+51.7 
+46.5 

-4.6 
+10.0 
+51.1 

+5.0 



+46.9 
+ 10.6 



+ 12.6 



+44.7 

+ 1.1 

+39.6 

+29.6 

+29.8 

+2.1 

+24.0 

-46.4 

-10.0 
-25.2 
+33.3 
-9.0 
-24.2 

+3.0 
-25.1 
+25.7 

-6.1 

+2.3 
+24.0 

+8.5 
-.7 



'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. 



181 



T«ble 31.— TotiU Arrest Trends, 1989-1990 

(8,698 agencies; 1990 population 171,812,000] 













Number of 


persons arrested 










Oflense charged 


Total all ages 


Under 


15 years 


of age 


Under 


18 years of 


age 


1 8 years of age and over 




1989 


1990 


Percent 
change 


1989 


1990 


Percent 
change 


1989 


1990 


Percent 
change 


1989 


1990 


Percent 
change 


TOTAL 


9,632,113 


10,052,233 


+4.4 


513,379 


537,140 


+4.6 


1,514,451 


1,584,861 


+4.6 


8,117,662 


8,467,372 


+4J 






Murder and nonnegligent 
manslaushter 


14,855 

25,526 

110,827 

296,177 

305,624 

1,070,344 

154,247 

12,684 


16,551 

27,554 

122,832 

332,791 

299,543 

1,098,081 

152,127 

13,595 


+11.4 
+7.9 
+10.8 
+ 12.4 
-2.0 
+2.6 
-1.4 
+7.2 


235 

1,366 

7,327 

11,774 

39,715 

144,613 

17,634 

3,995 


253 

1,422 

8,203 

13,182 

39,510 

150,044 

18,379 

3,970 


+7.7 

+4.1 

+ 12.0 

+ 12.0 

-.5 

+3.8 

+4.2 

-.6 


1,854 

3,949 

25,804 

39,395 

99,810 

319,335 

63,959 

5,764 


2,331 

4,160 

30,235 

45,534 

99,666 

331,804 

66,388 

6,042 


+25.7 

+5.3 

+ 17.2 

+ 15.6 

-.1 

+3.9 

+3.8 

+4.8 


13,001 

21,577 

85,023 

256,782 

205,814 

751,009 

90,288 

6,920 


14,220 

23,394 

92,597 

287,257 

199,877 

766,277 

85,739 

7,553 


+9.4 




+8.4 




+8.9 


Assravated assault 


+11.9 


Burglary 


-2.9 




+2.0 


Motor vehicle theft 


-5.0 




+9.1 








447,385 
1,542,899 


499,728 
1,563,346 


+ 11.7 
+ 1.3 


20,702 
205,957 


23,060 
211,903 


+ 11.4 
+2.9 


71,002 
488,868 


82,260 
503,900 


+ 15.9 
+3.1 


376,383 
1,054,031 


417,468 
1,059,446 


+ 10.9 


ProDcrtv crime^ 


+.5 






Crime Index total^ 


1,990,284 


2,063,074 


+3.7 


226,659 


234,963 


+3.7 


559,870 


586,160 


+4.7 


1,430,414 


1,476,914 


+3.3 






Other assaults 


651,990 

66,932 

232,782 

9,946 

120,515 
214,394 
150,769 

77,356 

71,965 

912,995 

13,143 

47,205 
1,175,069 

446,264 

600,356 

497,348 

27,627 

2,152,851 

13,460 

51,324 

120,998 


727,875 

65,831 

248,959 

9,711 

119,102 
235,163 
159,957 

80,888 

75,825 

785,536 

13,357 

55,990 
1,264,903 

479,777 

677,980 

535,672 

28,882 

2,236,528 

17,077 

59,860 

127,363 


+ 11.6 
-1.6 
+6.9 
-2.4 

-1.2 
+9.7 
+6.1 

+4.6 

+5.4 

-14.0 

+ 1.6 

+ 18.6 
+7.6 

+7.5 

+ 12.9 

+7.7 

+4.5 

+3.9 

+26.9 

+ 16.6 

+5.3 


37,175 

812 

2,749 

57 

8,515 

43,775 
7,067 

121 

6,018 

10,627 

102 

649 

285 

8,611 

1,877 

25,921 

645 

64,687 

744 

14,873 

52,154 


42,634 

1,134 

2,346 

48 

8,607 

46,767 

7,751 

124 

6,269 

8,088 

140 

659 
314 

9,396 
2,175 

27,676 
758 

64,208 
1,031 

17,038 

56,045 


+ 14.7 
+39.7 
-14.7 
-15.8 

+ 1.1 
+6.8 
+9.7 

+2.5 

+4.2 
-23.9 

+37.3 

+ 1.5 
+ 10.2 

+9.1 
+ 15.9 

+6.8 

+ 17.5 

-.7 

+38.6 

+ 14.6 

+7.5 


94,944 

5,436 

8,675 

943 

30,833 

87,204 
27,025 

1,103 

12,023 

75,549 

590 

1,849 
13,957 

103,533 

16,121 

82,136 

2,112 

218,226 

2,180 

51,324 

120,998 


108,408 

6,067 

8,766 

676 

31,309 
95,771 
29,696 

1,157 

12,391 
59,056 

728 

2,066 
14,394 

110,125 

18,408 

89,189 

2,448 

220,823 

2,932 

59,860 

127,363 


+ 14.2 

+ 11.6 

+ 1.0 

-28.3 

+ 1.5 
+9.8 
+9.9 

+4.9 

+3.1 
-21.8 
+23.4 

+ 11.7 
+3.1 

+6.4 
+ 14.2 

+8.6 
+ 15.9 

+ 1.2 
+34.5 
+ 16.6 

+5.3 


557,046 

61,496 

224,107 

9,003 

89,682 
127,190 
123,744 

76,253 

59,942 

837,446 

12,553 

45,356 
1,161,112 

342,731 

584,235 

415,212 

25,515 

1,934,625 

11,280 


619,467 

59,764 

240,193 

9,035 

87,793 
139,392 
130,261 

79,731 

63,434 

726,480 

12,629 

53,924 
1,250,509 

369,652 

659,572 

446,483 

26,434 

2,015,705 

14,145 


+11.2 




-2.8 


Fraud 


+7.2 




+.4 


Stolen property; buying, receiving, 
Dossessine 


-2.1 




+9.6 


Weapons; carrying, possessing, etc. . 


+5.3 
+4.6 


Sex offenses (except forcible rape 


+5.8 




-13.3 




+.6 


Offenses against family and 


+18.9 




+7.7 




+7.9 


Drunkenness 


+ 12.9 




+7.5 


Vagrancy , , , , 


+3.6 


All other offenses (except traffic) ... 
Suspicion (not included in totals) ... 
Curfew and loitering law violations . 


+4.2 
+25.4 

















'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. 
Hncludes arson. 



182 



Table 32.— Total Airest Trends, Sex, 1989-1990 

[8.698 agencies; 1990 population 171,812,000] 



Offense charged 



Males 



Total 



1989 



1990 



Percent 
change 



Under 18 



1989 



1990 



Percent 
change 



Females 



Total 



1989 



1990 



Percent 
change 



Under 18 



1989 



1990 



Percent 
change 



TOTAL 

Murder and nonnegligent 

manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 

Violent crime' 

Property crime^ 

Crime Index total' 

Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, 

possessing 

Vandalism 

Weapons; carrying, possessing, etc. 

Prostitution and commercialized 
vice 

Sex offenses (except forcible rape 
and prostitution) 

Drug abuse violations 

Gambling 

Offenses against family and 
children 

Driving under the influence 

Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) 
Suspicion (not included in totals) . 
Curfew and loitering law violations 
Runaways 



7,878,408 



8,201,007 



1,176,040 



1,224,S52 



+4.1 



1,753,705 



1,851,226 



+5.6 



338,411 



360,309 



13,079 
25,210 
101,220 
257,333 
277,747 
739,323 
138,560 
11,003 



14,830 
27,264 
112,498 
289,208 
272,457 
746,318 
136,889 
11,817 



+ 13.4 

+8.1 

+ 11.1 

+ 12.4 

-1.9 

+.9 

-1.2 

+7.4 



1,737 

3,858 

23,678 

33,689 

91,669 

233,431 

57,357 

5,207 



2,213 

4,084 

27,588 

38,799 

91,447 

238,510 

59,148 

5,459 



+27.4 

+5.9 

+ 16.5 

+ 15.2 

-.2 

+2.2 

+3.1 

+4.8 



1,776 

. 316 

9,607 

38.844 

27,877 

331,021 

15,687 

1.681 



1,721 

290 

10,334 

43,583 

27,086 

351,763 

15.238 

1,778 



-3.1 

-8.2 
+7.6 
+ 12.2 
-2.8 
+6.3 
-2.9 
+5.8 



117 

91 

2,126 

5,706 

8,141 

85,904 

6,602 

557 



118 

76 

2,647 

6,735 

8,219 

93,294 

7,240 

583 



396,842 
1,166,633 



443,800 
1,167,481 



+ 11.8 
+.1 



62,962 
387,664 



72.684 
394,564 



+ 15.4 
+ 1.8 



50,543 
376,266 



55,928 
395,865 



+ 10.7 

+5.2 



8,040 
101,204 



9,576 
109,336 



1,563,475 



1,611,281 



+3.1 



450,626 



467,248 



+3.7 



426,809 



451,793 



+5.9 



109,244 



118,912 



548,791 

44,044 

127,574 

5,742 

106,283 
190,988 
139,247 



23,218 

66,354 

760,862 

11,109 

38,900 
1,031,404 

360,298 

541,706 

402,981 

24,043 

1,800,772 

11,356 

37,455 

53,162 



610,312 

42,857 

138,428 

5.570 

104,925 
209,941 
148,125 



27,503 

69,994 

653,340 

11,515 

45,746 
1,104,132 

388,132 

610,214 

432,878 

25,242 

1,862,212 

14,510 

43,214 

55,446 



+ 11.2 
-2.7 
+8.5 
-3.0 

-1.3 
+9.9 
+6.4 



+ 18.5 

+5.5 

-14.1 

+3.7 

+ 17.6 
+7.1 

+7.7 

+ 12.6 

+7.4 

+5.0 

+3.4 

+27.8 

+ 15.4 

+4.3 



73,159 

3,713 

6,144 

494 

28,021 
79,370 
25,330 



416 

11,121 

66,469 

561 

1,180 
12,027 

74.146 
13,461 
65,294 

1,797 
172,094 

1,770 
37,455 
53,162 



83,118 

4,060 

6,166 

406 

28,336 
87,814 
27,906 



525 

11,559 

52,468 

696 

1,348 
12,383 

79,090 
15,658 
70,917 

2,049 
174,145 

2,376 
43,214 
55,446 



+ 13.6 

+9.3 

+.4 

-17.8 

+ 1.1 
+ 10.6 
+ 10.2 



+26.2 

+3.9 
-21.1 

+24.1 

+ 14.2 
+3.0 

+6.7 
+ 16.3 

+8.6 
+ 14.0 

+ 1.2 
+34.2 
+ 15.4 

+4.3 



103,199 

22,888 

105,208 

4,204 

14,232 
23,406 
11,522 



54,138 

5.611 

152,133 

2,034 

8,305 
143,665 

85,966 
58,650 
94,367 

3,584 
352,079 

2,104 
13,869 
67,836 



117,563 

22,974 

110,531 

4,141 

14,177 
25,222 
11.832 



53,385 

5.831 

132,196 

1.842 

10,244 
160,771 

91,645 

67,766 

102,794 

3.640 

374,316 

2,567 

16,646 

71,917 



+ 13.9 

+.4 

+5.1 

-1.5 

-.4 

+7.8 
+2.7 



-1.4 

+3.9 

-13.1 

-9.4 

+23.3 
+ 11.9 

+6.6 

+ 15.5 

+8.9 

+ 1.6 

+6.3 

+22.0 

+20.0 

+6.0 



21,785 

1,723 

2,531 

449 

2,812 
7,834 
1,695 



687 

902 

9,080 

29 

669 
1,930 

29,387 
2,660 
16,842 

315 
46,132 

410 
13,869 
67,836 



25,290 

2,007 

2,600 

270 

2,973 
7,957 
1,790 



632 

832 

6,588 

32 

718 
2,011 

31,035 
2,750 
18,272 

399 
46,678 

556 
16,646 
71,917 



+6,5 



+.9 
-16.5 
24.5 
+ 18.0 
+1.0 
+8.6 
+9.7 
+4.7 



+ 19.1 
+8.0 



+8.8 



+ 16.1 

+ 16.5 

+2.7 

-39.9 

+5.7 
+ 1.6 
+5.6 



-8.0 

-7.8 
-27.4 
+10.3 

+7.3 
+4.2 

+5.6 

+3.4 

+8.5 

+26.7 

+ 1.2 

+35.6 

+20.0 

+6.0 



'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. 



183 



Table 33.— Total Arrests, Distribution by Age, 1990 

[10,206 agencies; 1990 population 193,507,000] 





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 


11,2S0,083 
100.0 


S93,869 
5J 


1,754,542 
15,6 


9,495341 
84.4 


42,782 
.4 


147,985 
IJ 


403,102 
3.6 


322,836 
2,9 


390,418 

3.5 


447,419 
4.0 


532,947 

4.7 


5*5,273 
5.0 


52«,OSI 

4.7 


47SJ13 


Percent distribotioilt 


4J 






Murder and nonnegligent 


18,298 

30,966 

136,300 

376,917 

341,192 

1,241,236 

168,338 

14,974 


283 

1,605 

8,874 

14,860 

44,466 

167,741 

20,146 

4,296 


2,555 

4,628 

32,967 

51,167 

112,437 

372,133 

72,930 

6,560 


15,743 

26,338 

103,333 

325,750 

228,755 

869,103 

95,408 

8,414 


5 

89 

209 

967 

3,674 

13,278 

227 

1,025 


21 

346 

1,705 

3,582 

11,906 

51,751 

2,430 

1,426 


257 

1,170 

6,960 

10,311 

28,886 

102,712 

17,489 

1,845 


445 

862 

6,512 

9,435 

20,549 

64,623 

17,629 

848 


771 

1,015 

8,428 

12,118 

22,941 

69,869 

18,598 

742 


1,056 

1,146 

9,153 

14,754 

24,481 

69,900 

16,557 

674 


1,327 

1,433 

9,722 

15,928 

24,520 

67,405 

12,700 

587 


1,246 

1,379 

9,196 

16,402 

20,637 

58,564 

10,487 

524 


1,072 

1,298 

7,666 

16,050 

16,509 

48,647 

7,856 

403 


949 




1,316 


Robbery 


6,882 


Aiutravated assault 


15,564 


Burglary 


13,659 




41,577 


Motor vehicle theft 


6,495 




372 






Violent crime^ 


562,481 

100.0 

1,765,740 

100.0 


25,622 

4.6 

236,649 

13.4 


91,317 

16.2 

564,060 

31.9 


471,164 

83.8 

1,201,680 

68.1 


1,270 

.2 

18,204 

1.0 


5,654 

1.0 

67,513 

3.8 


18,698 

3.3 

150,932 

8.5 


17,254 

3.1 

103,649 

5.9 


22,332 

4.0 

112,150 

6.4 


26,109 

4.6 

111,612 

6.3 


28,410 

'5.1 

105,212 

6.0 


28,223 
5.0 

90,212 
5.1 


26,086 
4.6 

73,415 
4.2 


24,711 


Percent distribution' 


4.4 




62,103 


Percent distribution' . . 


3.5 








2,328,221 
100.0 


262,271 
11.3 


655,377 
28.1 


1,672,844 
71.9 


19,474 
.8 


73,167 
3.1 


169,630 

7.3 


120,903 

5.2 


134,482 
5.8 


137,721 
5.9 


133,622 

5.7 


118,435 
5.1 


99,501 
4.3 


86,814 




3.7 








801,425 
74,393 

279,776 
12,055 

131,656 
256,558 

176,137 

91,093 

84,852 

869,155 

15,443 

65,992 
1,390,906 

552,039 
716,504 
579,674 

31,237 
2,572,491 

17,753 

64,568 
138,155 


46,746 

1,217 

2,441 

85 

9,260 
50,529 

8,328 

140 

6,817 

8,758 

152 

821 
368 

10,449 
2,315 

29,785 
779 

72,325 
1,093 

18,641 
60,549 


119,058 

6,760 

9,468 

864 

34,087 
103,754 

31,991 

1,281 

13,507 

64,740 

798 

2,611 

15,772 

122,047 

19,344 

95,999 

2,531 

248,735 

3,095 

64,568 
138,155 


682,367 
67,633 

270,308 
11,191 

97,569 
152,804 

144,146 

89,812 

71,345 

804,415 

14,645 

63,381 
1,375,134 

429,992 

697,160 

483,675 

28,706 

2,323,756 

14,658 


3,358 

57 

87 

7 

279 
7,128 

280 

II 

628 
193 

11 

161 
100 

214 
138 

2,080 
33 

5,997 
116 

315 
2,115 


12,983 

296 

386 

15 

1,717 
16,022 

1,543 

23 

1,934 

865 

21 

161 

44 

858 
232 
7,282 
144 
16,290 
284 

2,872 
10,846 


30,405 

864 

1,968 

63 

7,264 
27,379 

6,505 

106 

4,255 

7,700 

120 

499 
224 

9,377 

1,945 

20,423 

602 

50,038 

693 

15,454 
47,588 


21,376 

1,005 

2,196 

71 

6,920 
16,897 

6,069 

188 

2,433 

10,788 

140 

571 
684 

17,133 
2,867 
17,827 

526 
42,918 

578 

15,015 
35,731 


23,934 

1,785 

1,766 

228 

8,349 
18,031 

7,812 

326 

2,109 

18,093 

198 

595 
3,899 

35,285 

4,791 

21,873 

610 
58,378 

701 

17,795 
29,378 


27,002 

2,753 

3,065 

480 

9,558 
18,297 

9,782 

627 

2,148 

27,101 

308 

624 
10,821 

59,180 

9,371 

26,514 

616 
75,114 

723 

13,117 
12,497 


28,899 

3,837 

6,750 

685 

10,589 
15,759 

11,590 

1,671 

2,486 

39,103 

450 

1,717 
28,155 

86,760 

19,692 

30,703 

1,205 

108,514 

760 


31,624 

4,446 

10,321 

805 

9,178 
13,781 

10,966 

2,814 

2,590 

44,319 

429 

1,809 
39,674 

90,150 
22,763 
32,005 
1,107 
127,232 
825 


31,637 

4,085 

11,897 

694 

7,379 
11,059 

9,371 

3,635 

2,552 

43,383 

359 

2,081 
45,776 

70,828 
23,250 
30,232 

953 
126,683 

696 


32,688 


Forgery and counterfeiting 


3,681 
12,097 


Embezzlement 


593 


Stolen property; buying, receiving, 


5,989 




9,452 


Weapons; carrying, possessing. 


8,48S 


Prostitution and commercialized 
vice 


4,327 




2,505 


Drug abuse violations 


41,663 




356 


Offenses against family and 


2,577 


Driving under the influence 


59,313 
20,599 


Drunkenness 


28,200 




30,736 




934 


All other offenses (except traffic) 
Suspicion 


123,441 
763 


Curfew and loitering law 





















See footnotes at end of table. 



184 



Table 33.— Total Arrests, Distribution by Age, 1990— Continiied 



Offense charged 



Age 



22 



23 



24 



25-29 30-34 35-39 40-44 45-49 50-54 55-59 



60-64 



65 and 
over 



TOTAL 

Pemni distribotioDi 

Murder and nonoegligent 

manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson , 

Violent crime' 

Percent distribution' 

Property crime' 

Percent distribution' 

Crime Indej total* 

Percent distribution' 

Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property, buying, receiving, 

possessing 

Vandalism 

Weapons; carrying, possessing, 

etc 

Prostitution and commercialized 
vice 

Sex oft'enses (except forcible rape 
and prostitution) 

Drug abuse violations 

Gambling 

OfTenses against family and 
children 

Driving under the inftuence 

Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traftic) 

Suspicion 

Curfew and loitering law 

violations 

Runaways 



439,599 
3.9 



836 

1,251 

6,056 

14,836 

12,042 

37,022 

5,490 

388 



22,979 
4.1 

54,942 
3.1 



77,921 
3.3 



31,544 

3.381 

12,504 

556 

5,216 
8,292 

7,600 



4,216 

2,470 

40,032 

316 

2,397 
57,766 

14,922 
26,194 
26,900 

958 
115,781 

633 



422,6S8 
3.8 



423,683 
3.8 



2,00838 
17.9 



1,600,910 
14.2 



,053,593 
9.4 



622,896 

5.5 



343,618 
3.1 



197457 
1.8 



120,657 
1.1 



78,527 
.7 



752 

1,204 

5,806 

14,682 

11,166 

35,352 

4,942 

354 



710 

1,183 

5,608 

14,734 

10,650 

34,357 

4,496 

324 



2.964 

5,771 

23,608 

71,927 

48,112 

165,172 

18,504 

1,585 



2,115 

4,728 

15,461 

57,946 

35,305 

139,961 

11,971 

1,325 



1,454 

2,887 

7,766 

37,391 

19,856 

97,302 

6,520 

1,011 



940 

1.680 

3.274 

22,032 

9,042 

56,579 

3,239 

655 



554 

920 

1,265 

11,935 

3,959 

30,598 

1,469 

384 



298 

547 

541 

6,930 

1,660 

18,654 

629 

196 



192 
310 
256 
4,027 
828 
12,965 
284 
138 



146 
204 
116 

2,625 
376 

9,845 
152 
84 



22,444 
4.0 

51,814 
2.9 



22,235 
4.0 

49,827 
2.8 



104,270 
18.5 

233,373 
13.2 



8O250 

14.3 

188.562 

107 



49,498 



124,689 

7.1 



27,926 
5.0 

69,515 
3.9 



14,674 
2.6 

36,510 
2.1 



8,316 

1.5 

21,139 

1.2 



4,785 

.9 

14,215 



3,091 

.5 

10,457 

.6 



74,258 
3.2 



72,062 
3.1 



337,643 
14.5 



268,812 
11.5 



174,187 
7.5 



97,441 
4.2 



51.184 

2.2 



29,455 
1.3 



19,000 



13,548 
.6 



32,055 

3,158 

12,642 

573 

4,684 
7,612 

7,022 



4,571 

2,519 

38,855 

312 

2,504 
57,688 

11,513 
25,721 
24,477 

888 
110,960 

646 



33,141 

3,151 

12,983 

523 

4,521 
7,321 

6,729 



5,028 

2,605 

39,999 

371 

2,816 
59,494 

1O209 
26,343 
24,162 

984 
110,583 

658 



160,607 

15,137 

60,410 

2,339 

18,700 
31,682 

28,213 



25,875 

13,962 

194,382 

1,810 

14,000 
305,300 

39,755 
135,624 
102,620 

5,325 
511,512 

3,412 



125,217 

11,771 

49,801 

1,700 

13,471 
21,823 

20,484 



18,981 

12,377 

152.195 

1,909 

13,170 
253,878 

29,037 

125,043 

75,216 

5,382 

397,862 

2,781 



78,178 
7,454 

35,573 
1,182 

8,699 
12,362 

13.385 



9,703 

9,232 

91,609 

1,692 

9,579 
174,604 

20,214 
94,558 
45,850 

4,271 

259,477 

1,784 



44,463 

3,956 

21,736 

715 

4,558 
6,594 

8,485 



4,328 

6,374 

45,210 

1,578 

5,419 
115,374 

13,552 

62,520 

26,635 

2,615 

150,433 

910 



23,270 

1,888 

11,006 

404 

2,289 
3,159 

4,864 



2,022 

3,957 

18,543 

1,429 

2,696 
71,379 

8,486 
40,292 
14,409 

1,620 

80332 

389 



12,575 

857 

6,001 

203 

1,058 
1,703 

2,779 



1,125 

2,661 
8,145 
1,217 

1,256 
43,516 

5,766 

26,354 

8,085 

1,081 

43,309 

211 



7,302 
416 

2,987 
104 

567 
930 

1,750 



623 

1,909 

3,705 

941 

635 
27,815 

3,676 

17,579 

4,763 

671 

25,184 

100 



4,370 

209 

1,804 

65 

352 
565 

1,221 



398 

1,397 

1,910 

712 

358 
18,329 

2,356 
11,730 
3,257 
406 
15,496 
44 



84,251 

.7 



188 

227 

110 

2,741 

434 

15,003 

174 

84 



3,266 

.6 

15,695 

.9 



18,961 



4,797 

206 

1,796 

50 

319 
710 

1,202 



495 

1,749 

1,362 

764 

367 
17,073 

2,169 
11,297 
3,625 
306 
16,957 
46 



'Because of rounding, the percentages may not add to total. 

Violent cnmes arc offenses of murder, forcible rape, robbery, and aggravated assault. 
'Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 
^Includes arson. 



185 



Table 34.— Male Arrests, Distribiitioii by Age, 1990 

[10,206 agencies; 1990 population 193,507,000] 



Offense charged 



Total 
all 
ages 



Ages 
under 

15 



Ages 

under 

18 



Ages 

18 and 

over 



Age 



Under 
10 



10-12 



13-14 



15 



16 



19 



20 



TOTAL 

Peicent 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 



9,181,930 

100.0 



442,954 

4.8 



1,355,638 

14.8 



7,826,292 

85.2 



36,060 

.4 



116.520 

1.3 



290,374 

3.2 



239,624 

2.6 



305,189 

3.3 



367,871 

4.0 



450,482 

4.9 



4754)75 
5.2 



441,431 

4.8 



16,387 
30,630 
125,015 
326,780 
311,220 
843,851 
151,449 
13,024 



256 

1,560 

7,791 

12,116 

40,141 

121,483 

17,217 

3,876 



2,423 

4,546 

30,168 

43,454 

103,314 

266,916 

65,029 

5,940 



13,964 

26,084 

94,847 

283,326 

207,906 

576,935 

86,420 

7,084 



3 

86 

198 

878 

3,322 

10,797 

212 

949 



18 

335 

1,528 

3,023 

10,775 

38,801 

2,120 

1,312 



235 

1,139 

6,065 

8,215 

26,044 

71,885 

14,885 

1,615 



422 

848 

5,916 

7,874 

18,920 

45,265 

15.640 

754 



737 

1,003 

7,806 

10,431 

21,262 

49,844 

16,886 

685 



1,008 

1,135 

8,655 

13,033 

22,991 

50,324 

15,286 

625 



1,259 

1,429 

9,245 

14,285 

23,020 

48,946 

11,845 

542 



1,162 

1,366 

8,689 

14,671 

19,286 

41,341 

9,790 

487 



996 

1,287 

7,194 

14,112 

15,329 

33,734 

7,237 

359 



498,812 

100.0 

1,319,544 

100.0 



21,723 

4.4 

182,717 

13.8 



80,591 

16.2 

441,199 

33.4 



418,221 
83.8 

878,345 
66.6 



1,165 

.2 

15,280 

1.2 



4,904 

1.0 

53,008 

4.0 



15,654 

3.1 

114,429 

8.7 



15,060 
3.0 

80.579 
6.1 



19,977 
4.0 

88,677 
6.7 



23,831 
4.8 

89,226 
6.8 



26,218 
5.3 

84.353 
6.4 



25,888 
5.2 

70.904 
5.4 



23,589 
4,7 

56,659 
4.3 



1,818,356 
100.0 



204,440 
11.2 



521,790 
28.7 



1,296,566 
71.3 



16,445 
.9 



57,912 
3.2 



130,083 

7.2 



95,639 
5.3 



108,654 
6.0 



113,057 
6.2 



110,571 
6.1 



96,792 
5.3 



80,248 
4.4 



672,455 

48,667 

156,120 

7,083 

115,864 
228,872 

163,055 



32,770 

78,291 

723,329 

13,314 

54,216 
1,213,216 

448,898 

644,594 

469,055 

27,307 

2,144,717 

15,091 

46,471 
60,189 



34,778 

787 

1,719 

58 

8,241 
46,215 

7,611 



68 

6,273 

7,423 

146 

497 
297 

5,854 

1,610 

22,558 

633 

54,489 

826 

12,470 
25,961 



91,334 

4,532 

6,629 

532 

30,813 
95,070 

30,055 



587 

12,594 

57,457 

761 

1.700 
13.567 

87,646 
16,379 
76,246 

2,116 
196,664 

2,506 

46,471 
60,189 



581,121 

44,135 

149,491 

6,551 

85,051 
133,802 

133,000 



32,183 

65,697 

665,872 

12,553 

52,516 
1,199,649 

361,252 

628,215 

392,809 

25,191 

1,948,053 

12,585 



2,856 

42 

67 

4 

247 
6,647 

271 



565 

169 

11 

90 
86 

166 

118 
1,724 

27 
4,659 

83 

267 
1,512 



10,182 

201 

285 

9 

1,548 
14,757 

1,401 



15 

1,768 

710 

20 

110 
37 

506 
162 
5,817 
118 
13,017 
236 

2,021 
5,688 



21,740 

544 

1,367 

45 

6,446 
24,811 

5,939 



49 

3,940 
6,544 

115 

297 
174 

5,182 

1,330 

15,017 

488 

36,813 

507 

10,182 
18,761 



15,922 

638 

1,621 

43 

6,211 
15,424 

5.683 



76 

2,296 

9,431 

137 

333 
548 

10,919 

2,231 
13,785 

441 
32,621 

461 

10,534 
14,630 



18,614 

1,199 

1,221 

159 

7,562 
16,597 

7,429 



139 

2,008 

16,162 

186 

386 
3,297 

25,335 
4,075 
17,699 

513 
46,807 

565 

13,293 
13,289 



22,020 
1,908 
2,068 

272 

8,799 
16,834 

9,332 



304 

2,017 

24,441 

292 

484 
9,425 

45,538 

8,463 

22,204 

529 

62,747 

654 

10,174 
6,309 



24,177 

2,537 

4,119 

376 

9,658 
14,534 

11,040 



620 

2,321 

34,998 

418 

1,384 
24,928 

69,713 
17,935 
26,034 
1,059 
93,378 
682 



26,522 
3,032 
5,929 

422 

8,310 
12,580 

10,409 



920 

2,346 

39,128 

407 

1,457 
35,078 

73,982 
20.901 
26.806 

945 
109.268 

741 



26,554 

2,766 

6,718 

381 

6,572 
9,953 

8,898 



1,159 

2,262 

37,918 

336 

1,667 
40,454 

59,300 

21,262 
25,333 

788 
108.244 

618 



See footnotes at end of table. 



186 



Table 34.— Male Arrests, Distribution by Age, 1990 — Continiied 





Age 


Offense charged 


22 


23 


24 


25-29 


30-34 


35-39 


40-44 


45-49 


50-54 


55-59 


60-64 


65 and 
over 


TOTAL 


365,627 
4.0 


348,432 
3.8 


346,516 
3.8 


1,627,252 

17.7 


1,296,945 
14.1 


861,719 
9.4 


517,282 
5.6 


289,126 
3.1 


167,675 
IJ 


103,106 
1.1 


67,072 

.7 


69,288 


PerceDl distribution' 


.8 






Murder and nonnegligent 


752 

1.243 

5.574 

12.994 

11.056 

24.576 

5.000 

358 


680 

1.195 

5.341 

12.739 

10.135 

23.156 

4.420 

300 


627 

1.174 

5.106 

12.703 

9.628 

22.297 

3.981 

287 


2.592 

5.709 

21.310 

61.786 

43.377 

106.415 

16.346 

1.301 


1.791 
4.659 
13.887 
49.654 
31.624 
92.154 
10.569 
1.048 


1.212 

2.861 

7.011 

32.389 

17.584 

65,685 

5,796 

828 


818 

1.661 

2.986 

19.234 

7,987 

37,913 

2,962 

524 


474 

917 

1.154 

10.471 

3.501 

19.781 

1.342 

311 


257 

544 

487 

6,212 

1,443 

11,320 

578 

158 


169 
307 
231 

3,580 
714 

7,481 
253 
111 


123 
203 
104 

2.380 
317 

5.427 
142 
70 


162 




227 


Robberv 


99 




2,483 




362 




8,340 




155 




72 






Violent crime^ 


20.563 
4.1 

40.990 
3.1 


19,955 
4.0 

38,021 
2.9 


19.610 

3.9 

36.193 

2.7 


91.397 

18.3 

167.439 

12.7 


69.991 

14.0 

135.395 

10.3 


43,473 
8.7 

89,893 
6.8 


24,699 
5.0 

49.386 
3.7 


13,016 
2.6 

24.935 
1.9 


7,500 

1.5 

13,499 

1.0 


4,287 
.9 

8,559 
.6 


2.810 

.6 

5,955 

.5 


2,971 




.6 




8,939 


Percent distribution' 


.7 








61.553 
3.4 


57,976 
3.2 


55.803 
3.1 


258.836 
14.2 


205.386 
11.3 


133.366 
7.3 


74.085 
41 


37.951 
2.1 


20.999 
1.2 


12,845 
.7 


8,766 
.5 


11.910 




.7 








26.806 

2.182 

6,719 

324 

4,587 
7.350 

7.145 

1,257 

2.172 

33.865 

277 

1,908 
50.690 

13,070 
23,864 
22,197 

841 
98,262 

558 


27,191 

2,074 

6,879 

329 

4,059 
6,676 

6.540 

1.410 

2.228 

32.345 

268 

2.063 
50.675 

9.974 

23.153 

19.829 

695 

93.511 

557 


28.080 

2.026 

6.982 

284 

3.935 
6.3i2 

6.213 

1.435 

2.282 

32.959 

317 

2.301 
52.052 

8.782 
23.595 
19.322 

809 
92.462 

555 


136.498 

9.454 

32.804 

1.379 

15.940 
27.107 

25.668 

7.690 

12.420 

156.630 

1.523 

11.499 
264.385 

34.123 

119.857 

80,766 

4.501 

423.337 

2.835 


106.696 

7.487 

26.930 

1.070 

11.401 
18.606 

18.453 

6.071 

11.266 

121.520 

1.620 

10.889 
219.043 

24.911 

110.653 

59.297 

4.698 

328.585 

2.363 


67.235 

4.826 

19.116 

672 

7.309 
10.520 

12,079 

3,893 

8,648 

74,264 

1,389 

7,981 
151,014 

17,465 
84,605 
36,774 

3,827 
215.215 

1,521 


38.419 

2,648 

12.208 

456 

3.923 
5.622 

7.740 

2.516 

6.093 

37.626 

1.317 

4.642 
100.216 

11.897 

56.492 

21.896 

2.412 

126.284 

790 


20.119 

1,327 

6,550 

263 

2,001 
2,675 

4,467 

1,474 

3,847 

15,783 

1,179 

2,349 
62,552 

7,447 
37.054 
12.092 

1.499 

68.139 

347 


10.890 

631 

3.643 

141 

949 
1.452 

2.553 

972 

2,606 
7.001 
1.051 

1.086 
38.820 

5.208 

24,530 

6,850 

1,015 

37,093 

185 


6.318 
332 

1,877 
52 

488 
814 

1.598 

582 

1.881 

3.229 

808 

550 

25,135 

3,340 

16,555 

4,042 

629 

21,826 

93 


3.827 

168 

1.232 

49 

315 
501 

1.132 

374 

1.384 

1.697 

637 

308 
16.711 

2,163 
11,074 
2,854 
392 
13,447 
41 


4,103 




140 




1,181 




26 


Stolen property; buying, receiving, 


270 




607 


Weapons; carrying, possessing, 

etc 


1,099 


Prostitution and commercialized 


476 


Sex offenses (except forcible rape 


1,725 




1,156 




683 


Offenses against family and 


314 


Driving under the influence 


15,693 




1,941 




10,598 




3,034 




272 


AH other offenses (except traffic) 


13,919 




41 


Curfew and loitering lav^ 




Runaways 







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



187 



Table 35.— Female Arrests, Distribution by Age, 1990 

(10,206 agencies; 1990 population 193,507,000) 



Offense charged 



Total 
all 
ages 



Ages 

under 

15 



Ages 

under 

18 



Ages 

18 and 

over 



Age 



Under 
10 



10-12 



13-14 



15 



16 



17 



18 



19 



20 



TOTAL 

Percent distribution' 



Murder and nonnegligeni 

manslaughter 

Forcible tape 

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 

Se» 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 

Rimaways 



2,068,153 
100.0 



1,911 

336 

11,285 

50,137 

29,972 

397,385 

16,889 

1,950 



63,669 

100.0 

446,196 

100.0 



509,865 
100.0 



128,970 

25,726 

123,656 

4,972 

15,792 
27,686 

13,082 



58,323 

6,561 

145,826 

2,129 

11,776 
177,690 

103,141 

71,910 

110,619 

3,930 

427,774 
2,662 

18.097 
77,966 



150,915 

7J 



398,904 
19J 



1,669,249 
80.7 



6,722 



31,465 
1.5 



112,728 
SS 



83,212 
4.0 



85,229 
4.1 



79,548 
3J 



82,465 
4.0 



89,298 
4J 



84,620 
4.1 



27 

45 

1,083 

2,744 

4,325 

46.258 

2,929 

420 



132 

82 

2,799 

7,713 

9,123 

105,217 

7,901 

620 



1,779 

254 

8,486 

42,424 

20,849 

292,168 

8,988 

1,330 



2 

3 

11 

89 

352 

2,481 

15 

76 



3 

II 

177 

559 

1,131 

12,950 

310 

114 



22 

31 

895 

2,096 

2,842 

30,827 

2,604 

230 



23 

14 

596 

1,561 

1,629 

19,358 

1,989 

94 



34 

12 

622 

1,687 

1,6/9 

20,025 

1,712 

57 



48 

II 

498 

1,721 

1,490 

19,576 

1,271 

49 



68 

4 

477 

1,643 

1,500 

18,459 

855 

45 



84 

13 

507 

1,731 

1,351 

17,223 

697 

37 



76 

11 

472 

1,938 

1,180 

14,913 

619 

44 



3,899 

6.1 

53,932 

12.1 



10,726 

16.8 

122,861 

27.5 



52,943 

83.2 

323,335 

72.5 



105 

.2 
2,924 

.7 



750 

1.2 

14,505 

3.3 



3,044 

4.8 

36,503 

8.2 



2,194 

3.4 

23,070 

5.2 



2,355 

3.7 

23,473 

5.3 



2,278 

3.6 

22,386 

5.0 



2,192 

3.4 

20,859 

4.7 



2,335 

3.7 

19,308 

4.3 



2,497 

3.9 

16,756 

3.8 



57,831 
11.3 



133,587 
26.2 



376,278 
73.8 



3,029 
.6 



15,255 
3.0 



39,547 
7.8 



25,264 
5.0 



25,828 
5.1 



24,664 
4.8 



23,051 
4.5 



21,643 
4.2 



19,253 
3.8 



11,968 
430 

722 
27 

1,019 
4,314 

717 



72 

544 

1,335 

6 

324 
71 

4,595 

705 

7,227 

146 

17,836 

267 

6,171 
34,588 



27.724 

2,228 

2,839 

332 

3,274 
8,684 

1,936 



694 

913 

7,283 

37 

911 

2,205 

34,401 

2,965 

19,753 

415 

52,071 

589 

18,097 
77,966 



101,246 

23,498 

120,817 

4,640 

12,518 
19,002 

11,146 



57,629 

5,648 

138,543 

2,092 

10,865 
175,485 

68,740 
68,945 
90,866 

3,515 
375,703 

2,073 



502 
15 
20 

3 

32 
481 



71 
14 

48 

20 

356 

6 

1,338 

33 

48 
603 



2,801 

95 

101 

6 

169 

1,265 

142 



166 

155 

1 

51 

7 

352 
70 

1,465 
26 

3,273 
48 

851 
5,158 



8,665 

320 

601 

18 

818 
2,568 

566 



57 

315 

1.156 

5 

202 
50 

4,195 
615 

5,406 

114 

13,225 

186 

5,272 
28,827 



5,454 

367 

575 

28 

709 
1,473 

386 



112 

137 

1,357 

3 

238 
136 

6,214 

636 

4,042 

85 

10,297 

117 

4,481 
21,101 



5,320 

586 

545 

69 

787 
1,434 

383 



187 

101 

1,931 

12 

209 
602 

9,950 

716 

4,174 

97 

11,571 

136 

4,502 
16,089 



4,982 
845 
997 
208 

759 
1,463 

450 



323 

131 

2,660 

16 

140 
1,396 

13,642 

908 

4,310 

87 

12,367 

69 

2,943 
6,188 



4,722 

1,300 

2,631 

309 

931 
1,225 

550 



1,051 

165 

4,105 

32 

333 

3,227 

17,047 

1,757 

4,669 

146 

15,136 

78 



5,102 

1,414 

4,392 

383 

868 
1,201 

557 



1,894 

244 
5,191 

22 

352 
4,596 

16,168 

1,862 

5,199 

162 

17,964 

84 



5,083 

1,319 

5,179 

313 

807 
1,106 

473 



2,476 

290 
5,465 

23 

414 
5,322 

11,528 

1,988 

4,899 

165 

18,439 

78 



See footnotes at end of table. 



188 



Table 35.— FenuUe Arrests, Distribution by Age, 1990 — Continued 



Offense charged 



Age 



22 



23 



24 



25-29 30-34 35-39 40-44 45-49 



50-54 



55-59 



60-64 



65 and 
over 



TOTAL 

Pemnt dislribiitioii' 

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 



73,972 
3.6 



84 

8 

482 

1,842 

986 

12,446 

490 

30 



2,416 

3.8 

13,952 

3.1 



16,368 

3.2 



4,738 
1,199 

5,785 
232 

629 
942 

455 



2,959 

298 

6,167 

39 

489 
7,076 

1,852 

2,330 

4,703 

117 

17,519 

75 



74,226 
3.6 



77,167 
3.7 



381,056 
18.4 



303,965 
14.7 



191,874 
9J 



105,614 
5.1 



54,492 
2.6 



29,682 
1.4 



17351 
.8 



11,455 
.6 



72 

9 

465 

1,943 

1,031 

12,186 

522 

54 



83 

9 

502 

2,031 

1,022 

12,060 

515 

37 



372 

62 

2,298 

10,141 

4,735 

58.757 

2,158 

284 



324 

69 

1,574 

8,292 

3,681 

47,807 

1,402 

277 



242 

26 

755 

5,002 

2,272 

31,617 

724 

183 



122 

19 

288 

2,798 

1,055 

18,666 

277 

131 



80 

3 

111 

1,464 

458 

10,917 

127 

73 



41 

3 

54 

718 

217 

7,334 

51 

38 



23 

3 

25 

447 

114 

5,484 

31 

27 



23 
1 

12 
245 
59 
4,418 
10 
14 



2,489 

3.9 

13,793 

3.1 



2,625 

4.1 

13,634 

3.1 



12,873 
20.2 

65,934 
14.8 



10,259 
16.1 

53,167 
11.9 



6,025 

9.5 

34,796 

7.8 



3,227 

5.1 

20,129 

4.5 



1,658 

2.6 

11,575 

2.6 



816 

1.3 

7,640 

1.7 



498 

.8 

5,656 

1.3 



281 

.4 

4,501 

1.0 



16,282 

3.2 



16,259 
3.2 



78,807 
15.5 



63.426 
12.4 



40,821 
8.0 



23,356 
4.6 



13,233 
2.6 



8,456 

1.7 



6,154 
1.2 



4,782 
.9 



4,864 

1,084 

5,763 

244 

625 
936 

482 



3,161 

291 

6.510 

44 

441 
7,013 

1,539 

2,568 

4,648 

193 

17,449 

89 



5,061 

1,125 

6,001 

239 

586 
999 

516 



3,593 

323 

7,040 

54 

515 
7,442 

1,427 

2,748 

4,840 

175 

18,121 

103 



24,109 

5,683 

27,606 

960 

2,760 
4,575 

2.545 



18.185 

1,542 

37,752 

287 

2,501 
40,915 

5,632 
15,767 
21,854 

824 
88,175 

577 



18,521 

4,284 

22,871 

630 

2,070 
3,217 

2,031 



12,910 

1,111 

30,675 

289 

2,281 
34,835 

4,126 
14,390 
15,919 

684 
69,277 

418 



10,943 

2,628 

16,457 

510 

1,390 
1,842 

1,306 



5,810 

584 

17,345 

303 

1,598 
23,590 

2,749 
9,953 
9,076 

444 
44,262 

263 



6,044 

1,308 

9,528 

259 

635 

972 

745 



1,812 

281 

7.584 

261 

777 
15,158 

1,655 

6,028 

4,739 

203 

24,149 

120 



3,151 
561 

4,456 
141 

288 
483 

397 



548 

110 

2,760 

250 

347 
8,817 

1,039 

3,238 

2,317 

121 

12,193 

42 



1,685 

226 

2,358 

62 

109 
251 

226 



153 

55 

1,144 

166 

170 
4,696 

558 
1,824 
1,235 

66 
6,216 

26 



984 

84 

1,110 

42 

79 
116 

152 



28 
476 
133 

85 
2,680 

336 

923 

721 

42 

3,358 

7 



543 
41 

572 
16 

37 
64 

89 



24 

13 

213 
75 

50 
1,618 

193 

656 

403 

14 

2,049 

3 



14,963 

.7 



26 



11 

258 

72 

6,663 

9 

12 



295 

.5 

6,756 

1.5 



7,051 
1.4 



694 

66 

615 

24 

49 
103 

103 



24 

206 

81 

53 
1,380 

228 

599 

591 

34 

3,038 

5 



'Because of rounding, the percentages may not add to total. 

Violent cnmes are offenses of murder, forcible rape, robbery, and aggravated assault. 
'Properly cnmes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 
'Includes arson. 



189 



Table 36.— Total Arrests of Persons under 15, 18, 21, and 25 Years of Age, 1990 

;iO,206 agencies; 1990 population 193,507,000] 



OfTense charged 



Total 
all ages 



Number of persons arrested 



Under 15 Under 18 Under 21 



Under 25 



Percent of total all ages 



Under 
15 



Under 
18 



Under 
21 



Under 
25 



TOTAL 

Murder and 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 



11,250,083 



18,298 

30,966 

136,300 

376,917 

341,192 

1,241,236 

168.338 

14,974 



562,481 
1,765,740 



2,328,221 



801,425 
74,393 
279,776 
12,055 
131,656 
256,558 
176,137 

91,093 
84,852 
869,155 
15.443 
65,992 
1,390,906 

552,039 

716,504 

579,674 

31,237 

2,572,491 

17,753 

64,568 

138.155 



593,8«9 



1,754,542 



3,378,813 



5,139,96« 



5J 



15.6 



283 

1,605 

8,874 

14,860 

44,466 

167.741 

20,146 

4,296 



2,555 

4,628 

32,967 

51,167 

112.437 

372,133 

72,930 

6,560 



6,200 

8,738 

59.551 

99,547 

174,103 

546,749 

103,973 

8,074 



9,447 

13,692 

83,903 

159.363 

221,620 

695,057 

125,395 

9,512 



1.5 

5.2 

6.5 

3.9 

13.0 

13.5 

12.0 

28.7 



14.0 
14.9 
24.2 
13.6 
33.0 
30.0 
43.3 
43.8 



25,622 
236,649 



91,317 
564,060 



174,036 
832,899 



266.405 
1,051,585 



4.6 
13.4 



16.2 
31.9 



262.271 



655,377 



1,006,935 



1,317,990 



11.3 



28.1 



46,746 

1,217 

2,441 

85 

9,260 

50,529 
8,328 

140 
6,817 
8,758 
152 
821 
368 

10,449 
2,315 

29,785 
779 

72,325 
1,093 

18,641 

60,549 



119,058 

6,760 

9,468 

864 

34,087 

103,754 

31,991 

1,281 

13,507 

64,740 

798 

2,611 
15,772 

122,047 

19,344 

95,999 

2,531 

248,735 

3,095 

64,568 

138,155 



211.218 

19,128 

38,436 

3,048 

61,233 

144,353 
63,918 

9,401 
21,135 

191,545 
2,036 
8,218 

129,377 

369,785 

85,049 

188,939 

5,796 

611,164 

5,376 

64,568 

138,155 



340,646 

32,499 

88,662 

5,293 

81,643 

177,030 
93,754 

27,543 
31,234 

352,094 

3,391 

18,512 

363,638 

427,028 

191,507 

295,214 

9,560 

1,071,929 

8,076 

64,568 

138,155 



5.8 

1.6 
.9 
.7 

7.0 
19.7 

4.7 

.2 
8.0 
1.0 
1.0 
1.2 
(4) 

1.9 

.3 

5.1 

2.5 

2.8 

6.2 

28.9 

43.8 



14.9 
9.1 
3.4 
7.2 
25.9 
40.4 
18.2 

1.4 
15.9 
7.4 
5.2 
4.0 
1.1 

22.1 
2.7 
16.6 
8.1 
9.7 
17.4 
100.0 
100.0 



30.0 



33.9 

28.2 
43.7 
26.4 
51.0 
44.0 
61.8 
53.9 



30.9 
47.2 



43.2 



26.4 
25.7 
13.7 
25.3 
46.5 
56.3 
36.3 

10.3 
24.9 
22.0 
13.2 
12.5 
9.3 

67.0 
11.9 
32.6 
18.6 
23.8 
30.3 
100.0 
100.0 



45.7 



51.6 

44.2 
61.6 
42.3 
65.0 
56.0 
74.5 
63.5 



47.4 
59.6 



56.6 



42.5 
43.7 
31.7 
43.9 
62.0 
69.0 
53.2 

30.2 
36.8 
40.5 
22.0 
28.1 
26.1 

77.4 
26.7 
50.9 
30.6 
41.7 
45.5 
100.0 
100.0 



'Violent crimes arc offenses of murder, forcible rape, robbery, and aggravated assault. 
^Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 
'Includes arson. 
'Less than one-tenth of 1 percent. 



190 



Table 37.— Total Arrests, Distribution by Sex, 1990 
(10,206 agencies; 1990 population 193,507.000] 



OfTense chaiged 



Number of persons arrested 



Total 



Male 



Female 



Percent 
male 



Percent 
female 



Percent distribution' 



Total 



Male 



Female 



TOTAL 

Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle thefl 

Arson 

Violent crime' 

Property crime* 

Crime Index total' 

Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, possessing 

Vandalism 

Weapons; carrying, possessing, etc 

Prostitution and commercialized vice 

Sex offenses (except forcible rape and prostitution) 

Drug abuse violations 

Gambling 

Offenses against family and children 

Driving under the influence 

Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except trafTic) 

Suspicion 

Ct«few and loitering law violations 

Runaways 



11,2SO,083 



18,298 

30,966 

136,300 

376,917 

341,192 

1,241,236 

168,338 

14,974 



562,481 
1,765,740 



2,328,221 



801,425 
74,393 
279,776 
12,055 
131,656 
256,558 
176,137 

91,093 
84,852 
869,155 
15,443 
65,992 
1,390,906 

552,039 

716,504 

579,674 

31,237 

2,572.491 

17,753 

64,568 

138,155 



9,181,930 



2,068,153 



81.6 



18.4 



100.0 



16,387 
30,630 
125,015 
326,780 
311,220 
843,851 
151,449 
13,024 



1,911 

336 

11,285 

50,137 

29,972 

397,385 

16,889 

1,950 



89.6 
98.9 
91.7 
86.7 
91.2 
68.0 
90.0 
87.0 



10.4 

1.1 

8.3 

13.3 

8.8 

32.0 

10.0 

13.0 



.2 

.3 

1.2 

3.4 

3.0 

11.0 

1.5 

.1 



498,812 
1,319,544 



63,669 
446.196 



88.7 
74.7 



11.3 

25.3 



5.0 
15.7 



1,818,356 



509,865 



78.1 



21.9 



20.7 



672.455 
48.667 
156.120 
7,083 
115.864 
228.872 
163,055 

32,770 
78,291 
723,329 
13,314 
54,216 
1,213.216 

448.898 

644.594 

469,055 

27,307 

2.144,717 

15,091 

46,471 

60.189 



128,970 
25,726 

123,656 

4,972 

15,792 

27,686 

13,082 

58,323 

6,561 

145,826 

2,129 

11,776 

177.690 

103,141 

71,910 

110,619 

3,930 

427,774 

2,662 

18,097 

77,966 



83.9 
65.4 
55.8 
58.8 
88.0 
89.2 
92.6 

36.0 
92.3 
83.2 
86.2 
82.2 
87.2 

81.3 
90.0 
80.9 
87.4 
83.4 
85.0 
72.0 
43.6 



16.1 
34.6 
44.2 
41.2 
12.0 
10.8 
7.4 

54.0 
7.7 
16.8 
13.8 
17.8 
12.8 

18.7 
10.0 
19.1 
12.6 
16.6 
15.0 
28.0 
56.4 



7.1 
.7 
2.5 
.1 
1.2 
2.3 
1.6 

.8 
.8 
7.7 
.1 
.6 
12.4 

4.9 

6.4 

5.2 

.3 

22.9 

.2 

.6 

1.2 



100.0 



.2 
.3 
1.4 
3.6 
3.4 
9.2 
1.6 
.1 



5.4 
14.4 



19.8 



7.3 
.5 
1.7 
.1 
1.3 
2.5 
1.8 

.4 
.9 
7.9 
.1 
.6 
13.2 

4.9 

7.0 

5.1 

.3 

23.4 

.2 

.5 

.7 



100.0 



.1 

(2) 
.5 
2.4 
1.4 
19.2 
.8 
.1 



3.1 
21.6 



24.7 



6.2 
1.2 
6.0 
.2 
.8 
1.3 
.6 

2.8 
.3 

7.1 
.1 
.6 

8.6 

5.0 
3.5 
5.3 

.2 

20.7 

.1 

.9 

3.8 



'Because of rounding, the percentages may not add to total. 

'Less than one-tenth of I percent. 

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

'Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 

'Includes arson. 



191 



Table 38.— Total Arrests, Distributioii by Race, 1990 

[10,110 agencies; 1990 population 192,939,000] 



Offense charged 



Total arrests 



Total 



White 



Black 



American 
Indian 



Alaskan 

Native 



Asian 



Pacific 
Islander 



Percent distribution' 



Total 



White 



Black 



American 

Indian 

or 

Alaskan 
Native 



Asian 



Pacinc 
Islander 



TOTAL 

Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 

Violent crime^ 

Property crime' 

Crime Index total* 

Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, 

possessing 

Vandalism 

Weapons; carrying, possessing, etc. ... 

Prostitution and commercialized vice . 
Sex ofTenses (except forcible rape and 

prostitution) 

Drug abuse violations 

Gambling 

Offenses against family and children 
Driving under the influence 

Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) 

Suspicion 

Curfew and loitering law violations ... 
Runaways 



11,151468 



18,190 

30,802 

135,904 

373,872 

338,096 

1,231,255 

167,908 

14.833 



558,768 
1,752,092 



2,310,860 



795,907 
73,127 

273,499 
11,906 

129,698 
253,273 
174,331 

90,898 

83,611 

860,016 

15,349 

64,606 

1,371,236 

548,292 

713,599 

576,626 

30,994 

2,555,503 

17,746 

64,260 

136,031 



7,712339 



3,224,060 



122,586 



92383 



100.0 



69.2 



28.9 



7,942 

16,973 

51,229 

223,952 

230,310 

827,860 

99,821 

11,154 



9,952 

13,309 

83,165 

143,540 

101,855 

374,968 

64,526 

3,410 



132 

249 

482 

3,549 

3,001 

13,359 

1,264 

162 



164 

271 

1,028 

2,831 

2,930 

15,068 

2,297 

107 



100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



43.7 
55.1 
37.7 
59.9 
68.1 
67.2 
59.4 
75.2 



54.7 
43.2 
61.2 
38.4 
30.1 
30.5 
38.4 
23.0 



300,096 
1,169,145 



249,966 
544,759 



4,412 
17,786 



4.294 
20,402 



100.0 
100.0 



53.7 
66.7 



44.7 
31.1 



1,469,241 



794,725 



22,198 



24,696 



100.0 



63.6 



34.4 



510,552 

47,330 

180,671 

7,900 

74,517 
191,269 
102,228 

54,345 

65,798 

503,315 

7,251 

42,469 

1,227,221 

478,873 

566,075 

379,324 

17,617 

1,619,001 

7,462 

50,721 

109,159 



269,560 

24,839 

90,708 

3,816 

53,482 
57,253 
69,331 

35,398 

16,271 

349,965 

7,294 

19,602 
118,729 

52,831 

130,226 

186,671 

12,644 

886,880 

10,125 

11,379 

22,331 



9,594 

434 

1,091 

53 

697 

2,520 
878 

450 

796 

2,935 

21 

801 

1 5,406 

13,478 

15,518 

7,904 

620 

24,602 

87 

724 

1,779 



6,201 

524 

1,029 

137 

1,002 
2,231 
1,894 

705 

746 
3,801 

783 
1,734 
9,880 

3,110 

1,780 

2,727 

113 

25,020 

72 

1,436 

2,762 



100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 

100.0 

100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



64.1 
64.7 
66.1 
66.4 

57.5 
75.5 
58.6 

59.8 

78.7 
58.5 
47.2 
65.7 
89.5 

87.3 
79.3 
65.8 
56.8 
63.4 
42.0 
78.9 
80.2 



33.9 
34.0 
33.2 
32.1 

41.2 
22.6 
39.8 

38.9 

19.5 
40.7 
47.5 
30.3 
8.7 

9.6 
18.2 

32.4 
40.8 
34.7 
57.1 
17.7 
16.4 



.7 
.8 
.4 
.9 
.9 

1.1 
.8 

1.1 



1.0 



1.0 



1.2 
.6 
.4 
.4 

.5 
1.0 

.5 



1.0 
.3 
.1 
1.2 
1.1 

2.5 
2.2 
1.4 
2.0 
1.0 
.5 
1.1 
1.3 



.9 
.9 
.8 
.8 
.9 
1.2 
1.4 
.7 



.8 
1.2 



1.1 



.8 

.7 

.4 

1.2 



.9 
1.1 



.9 

.4 
5.1 

2.7 
.7 

.6 

.2 

.5 

.4 

1.0 

.4 

2.2 

2.0 



See footnotes at end of table. 



192 



Table 38.— Total Arrests, Distribution by Race, 1990— Continued 



OfTense charged 



Arrests under 18 



Total 



White 



Black 



American 
Indian 

or 
Alaskan 

Native 



Asian 

or 
Pacific 
Islander 



Percent distribution' 



Total 



White 



Black 



Amencan 
Indian 



Alaskan 
Native 



Asian 

or 
Pacific 
Islander 



TOTAL 



Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 



Violent crime' . 
Property crime' 



Crime Index total' 



Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, 

possessing 

Vandalism 

Weapons; carrying, possessing, etc. 



Prostitution and commercialized vice . 
Sex offenses (except forcible rape and 

prostitution) 

Drug abuse violations 

Gambling 

Offenses against family and children . 
Driving under the influence 



Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) .. 

Suspicion 

Curfew and loitering law violations 
Runaways 



1,738,680 



2,550 

4,621 

32,893 

50,629 

111,149 

368,871 

72,760 

6,497 



90,693 

559,277 



649,970 



118,198 

6,678 

9,355 

854 

33,596 

102,598 

31,796 

1,279 

13,230 

64,230 

798 

2,481 

15,650 

121,075 

19,295 

95,416 

2,530 

246,268 

3.092 

64,260 

136,031 



1,239,241 



455,164 



18,416 



25,859 



100.0 



113 



26.2 



998 

2,427 

11,781 

28,164 

83,600 

269,102 

43,010 

5,293 



1,514 
2,118 
20,627 
21.498 
24,760 
88,754 
27,726 
1,082 



10 

35 

108 

398 

1.208 

4,540 

689 

63 



28 

41 

377 

569 

1,581 

6,475 

1.335 

59 



100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



39.1 

52.5 
35.8 
55.6 
75.2 
73.0 
59.1 
81.5 



59.4 
45.8 
62.7 
42.5 
22.3 
24.1 
38.1 
16.7 



43.370 
401,005 



45,757 
142,322 



551 
6,500 



1,015 
9,450 



100.0 
100.0 



47.8 
71.7 



50.5 
25.4 



444,375 



188,079 



7,051 



10,465 



100.0 



68.4 



28.9 



72,820 

5,046 

5,584 

575 

19,269 
82,593 
19,648 

840 

9,530 

32,267 

161 

1,876 
14,764 

112,500 

17,055 

63,571 

1,821 

172,977 

2,089 

50,721 

109,159 



42,351 

1.508 

3,604 

269 

13,713 
17,936 
11,536 

417 

3,473 

31,281 

616 

531 

555 

5,159 

1,861 

30,487 

647 

66,527 

904 

11,379 

22,331 



1,096 

55 

36 

1 

198 
910 
140 

16 

84 

270 

4 

9 

246 

2,638 

316 

705 

26 

2,053 

59 

724 

1,779 



1,931 

69 

131 

9 

416 
1,159 

472 



143 

412 

17 

65 

85 

778 

63 

653 

36 

4,711 

40 

1,436 

2,762 



100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 

100.0 

100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



61.6 
75.6 
59.7 
67.3 

57.4 
80.5 
61.8 

65.7 

72.0 
50.2 
20.2 
75.6 
94.3 

92.9 
88.4 
66.6 
72.0 
70.2 
67.6 
78.9 
80.2 



35.8 
22.6 
38.5 
31.5 

40.8 
17.5 
36.3 

32.6 

26.3 
48.7 
77.2 
21.4 
3.5 

4.3 
9.6 
32.0 
25.6 
27.0 
29.2 
17.7 
16.4 



.3 
.8 
l.I 
1.2 
.9 
1.0 



.6 
1.2 



1.1 



.9 
.8 
.4 
.1 

.6 
.9 

.4 

1.3 

.6 
.4 
.5 
.4 
1.6 

2.2 
1.6 

.7 
1.0 

.8 
1.9 
1.1 
1.3 



IS 



l.I 
.9 
1.1 
I.l 
1.4 
1.8 
1.8 
.9 



1.1 

1.7 



1.6 



1.6 
1.0 
1.4 
1.1 

1.2 
1.1 

1.5 



l.I 

.6 

2.1 

2.6 

.5 

.6 

.3 
.7 
1.4 
1.9 
1.3 
2.2 
2.0 



See footnotes at end of table. 



Table 38.— Total Arrests, Distribution by Race, 1990 — Continued 



OfTense charged 



Arrests 18 and over 



Total 



White 



Black 



American 

Indian 

or 

Alaskan 
Native 



Asian 



PaciPic 
Islander 



Percent distribution' 



Total 



White 



Black 



American 
Indian 



Alaskan 
Native 



Asian 



Pacific 
Islander 



TOTAL 

Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 

Violent crime' 

Property crime' 

Crime Index total' 

Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, 

possessing 

Vandalism 

Weapons; carrying, possessing, etc. ... 

Prostitution and commercialized vice . 
Sex ofTenses (except forcible rape and 

prostitution) 

Drug abuse violations 

Gambling 

Offenses against family and children . 
Driving under the influence 

Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) 

Suspicion 

Curfew and loitering law violations ... 
Runaways 



9,412,688 



15,640 

26,181 

103,011 

323,243 

226,947 

862,384 

95,148 

8,336 



468,075 
1,192,815 



1,660,890 



677,709 
66,449 

264,144 
11,052 

96,102 
150,675 
142,535 

89,619 

70,381 

795,786 

14,551 

62,125 

1,355,586 

427,217 

694,304 

481,210 

28,464 

2,309,235 

14,654 



6,473,098 



2,768,896 



104,170 



66,524 



100.0 



68.8 



29.4 



6,944 

14,546 

39,448 

195,788 

146,710 

558,758 

56,811 

5,861 



8,438 

11,191 

62,538 

122,042 

77,095 

286,214 

36,800 

2,328 



122 

214 

374 

3,151 

1,793 

8,819 

575 

99 



136 

230 

651 

2,262 

1,349 

8,593 

962 

48 



100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



44.4 
55.6 
38.3 
60.6 
64.6 
64.8 
59.7 
70.3 



54.0 

42.7 
60.7 
37.8 
34.0 
33.2 
38.7 
27.9 



256,726 
768,140 



204,209 
402,437 



3,861 
11,286 



3,279 
10,952 



100.0 
100.0 



54.8 
64.4 



43.6 

33.7 



1,024,866 



606,646 



15,147 



14,231 



100.0 



61.7 



36.5 



437,732 

42,284 

175,087 

7,325 

55,248 
108,676 
82,580 

53,505 

56,268 

471,048 

7,090 

40,593 

1,212,457 

366,373 

549,020 

315,753 

15,796 

1,446,024 

5,373 



227,209 
23,331 
87,104 

3,547 

39,769 
39,317 
57,795 

34,981 

12,798 

318,684 

6,678 

19,071 

118,174 

47,672 
128,365 
156,184 

11,997 

820,353 

9,221 



8,498 

379 

1,055 

52 

499 
1,610 

738 

434 

712 

2,665 

17 

792 

15,160 

10,840 

15,202 

7,199 

594 

22,549 

28 



4,270 
455 
898 
128 

586 
1,072 
1,422 

699 

603 
3,389 

766 
1,669 
9,795 

2,332 
1,717 
2,074 

77 
20,309 

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 



64.6 
63.6 
66.3 
66.3 

57.5 
72.1 
57.9 

59.7 

79.9 
59.2 
48.7 
65.3 
89.4 

85.8 
79.1 
65.6 
55.5 
62.6 
36.7 



33.5 
35.1 
33.0 
32.1 

41.4 
26.1 
40.5 

39.0 

18.2 
40.0 
45.9 
30.7 
8.7 

11.2 
18.5 
32.5 
42.1 
35.5 
62.9 



.8 
.8 
.4 

1.0 
.8 

1.0 
.6 

1.2 



1.3 
.6 
.4 
.5 

.5 
1.1 

.5 



1.0 
.3 
.1 
1.3 
l.I 

2.5 
1.2 
1.5 
2.1 
1.0 
.2 



.9 
.9 
.6 
.7 
.6 
1.0 
1.0 
.6 



.7 
.9 



.6 

.7 

.3 

1.2 

.6 

.7 

I.O 



.9 

.4 

5.3 

2.7 

.7 

.5 
.2 
.4 
.3 
.9 
.2 



'Because of rounding, the percentages may not add to total. 

Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 
'Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 
'Includes arson. 



194 



Table 39.— City Arrest Trends, 1989-1990 

(6,082 agencies; 1990 population 119,446,000) 



Number of persons arrested 



OfTense charged 



Total all ages 



1989 



1990 



Percent 
change 



Under 1 8 years of age 



1989 



1990 



Percent 
change 



1 8 years of age and over 



1989 



1990 



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 total) 

Curfew and loitering law violations 

Runaways 



7,551,540 



11,806 

19,451 

99,752 

234,416 

232,456 

919,493 

125,014 

9,462 



365,425 
1,286,425 



1,651,850 



522,087 
50.437 

139,634 

7,346 

98,854 

172,091 

122,306 

73,289 

54,356 

734,008 

10,724 

25,327 

732,879 

355,708 

493,890 

438.61 1 

25,806 

1,697,227 

12,525 

48,669 

96,441 



7,883,002 



13,114 
21,016 
111,383 
263.900 
230,190 
942,189 
123,452 
9,985 



409,413 
1,305,816 



1,715,229 



582,130 
49,905 

152,594 

7,147 

97,756 

190,097 

131,410 

76,333 

57,07J 

634,594 

11,055 

29.798 

787,876 

375,820 

560,910 

473,565 

26.996 

1.764.358 

15.833 

56,979 

101,375 



+4.4 



1,276,441 



U36,173 



6,275,099 



6346,829 



+ 11.1 
+8.0 
+ 11.7 
+ 12.6 
-1.0 
+2.5 
-1.2 
+5.5 



1,631 

3,081 

23,993 

33,338 

75,508 

279,732 

53,308 

4,571 



2,059 

3,253 

28,152 

38,312 

76,333 

290,303 

55,192 

4,741 



+26.2 
+5.6 
+ 17.3 
+ 14.9 
+ 1.1 
+3.8 
+3.5 
+3.7 



10,175 

16.370 

75.759 

201,078 

156,948 

639,761 

71,706 

4,891 



11,055 

17,763 

83,231 

225,588 

153,857 

651,886 

68,260 

5,244 



+ 12.0 
+ 1.5 



62,043 
413,119 



71,776 
426,569 



+ 15.7 
+3.3 



303,382 
873,306 



337,637 
879,247 



+3.8 



475,162 



498,345 



+4.9 



1,176,688 



1,216,884 



+ 11.5 
-1.1 
+9.3 
-2.7 
-1.1 

+ 10.5 
+7.4 

+4.2 

+5.0 

-13.5 

+3.1 

+ 17.7 
+7.5 

+5.7 

+ 13.6 

+8.0 

+4.6 

+4.0 

+26.4 

+ 17.1 

+5.1 



80,937 

4,472 

7,585 

812 

26,644 

70,487 

23,585 

1,030 

9,072 

64,923 

515 

1,516 

9,366 

81,199 

13,656 

74,159 

1,736 

184,475 

2,003 

48,669 

96,441 



92,620 

4,994 

7,646 

549 

26,810 

78,345 

26,181 

1,048 

9,358 

51,053 

669 

1,681 

9,699 

85,287 

15.785 

80,503 

2,093 

185,153 

2,592 

56,979 

101,375 



+ 14,4 
+ 11.7 

+.8 
-32.4 

+.6 
+ 11. 1 
+ 11.0 

+ 1.7 

+3.2 
-21.4 
+29.9 
+ 10.9 

+3.6 

+5.0 
+ 15.6 

+8.6 

+20.6 

+.4 

+29.4 

+ 17.1 

+5.1 



441,150 
45,965 

132,049 

6.534 

72,210 

101,604 
98,721 

72,259 

45.284 

669,085 

10,209 

23,811 

723.513 

274,509 

480,234 

364,452 

24,070 

1,512,752 

10,522 



489,510 
44,911 

144,948 

6,598 

70,946 

111,752 

105,229 

75,285 

47,717 

583,541 

10,386 

28.117 

778.177 

290.533 

545.125 

393.062 

24,903 

1.579,205 

13,241 



+43 



+8.6 
+8.5 
+9.9 
+ 12.2 
-2.0 
+ 1.9 
-4.8 
+7.2 



+11.3 
+.7 



+3.4 



+ 11.0 
-2.3 
+9.8 
+1.0 
-1.8 

+ 10.0 
+6.6 

+4.2 

+5.4 
-12.8 

+ 1.7 
+18.1 

+7.6 

+5.8 
+ 13.5 
+7.9 
+3.5 
+4.4 
+25.8 



'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 
'Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 
'Includes arson. 



195 



Table 40.— City Arrest Trends, Sex, 1989-1990 

[6,082 agencies; 1990 population 119,446,000] 



Offense charged 



Males 



Total 



1989 



1990 



Percent 
change 



Under 18 



1989 



1990 



Percent 
change 



Females 



Total 



1989 



1990 



Percent 
change 



Under 18 



1989 



1990 



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 



6.152,916 



6,404,668 



+4.1 



990,193 



1,031,274 



+4.1 



1398,624 



1,478334 



+5.7 



286,248 



304,899 



10,438 

19,235 

91,050 

202,607 

210,406 

630,440 

112,397 

8,174 



11,827 
20,810 
101,992 
228,243 
208,585 
635,315 
111,212 
8,607 



+ 13.3 

+8.2 

+ 12.0 

+ 12.7 

-.9 

+.8 

-I.I 

+5.3 



1,534 

3,015 

22,021 

28,426 

69,252 

203,121 

47,938 

4,130 



1,960 

3,205 

25,660 

32,567 

69,814 

207,008 

49,380 

4,264 



+27.8 

+6.3 

+ 16.5 

+ 14.6 

+.8 

+ 1.9 

+3.0 

+3.2 



1,368 

216 

8,702 

31,809 

22,050 

289,053 

12,617 

1,288 



1,287 

206 

9,391 

35,657 

21,605 

306,874 

12,240 

1,378 



-5.9 
-4.6 

+7.9 
+ 12.1 
-2.0 
+6.2 
-3.0 
+7.0 



97 

66 

1,972 

4,912 

6,256 

76,611 

5.370 

441 



99 

48 

2,492 

5,745 

6,519 

83,295 

5,812 

477 



323,330 
961,417 



362,872 
963,719 



+ 12.2 

+.2 



54,996 
324,441 



63.392 
330,466 



+ 15.3 
+ 1.9 



42,095 
325,008 



46,541 
342,097 



+ 10.6 

+5.3 



7,047 
88,678 



8,384 
96,103 



1,284,747 



1,326,591 



+3.3 



379,437 



393,858 



+3.8 



367,103 



388.638 



+5.9 



95.725 



104,487 



439,144 

33.070 

80,096 

4,185 

87,115 
153,034 
112,707 

21,745 

49,631 

612,795 

9,135 

19,131 
638,387 

287,738 

445,635 

354,467 

22,566 

1,420,277 

10,591 

35,556 

41,755 



488,061 

32,470 

89,686 

3,980 

86,035 
169,591 
121,531 

25,510 

52,108 

528,310 

9,628 

22,092 
682,575 

304,321 

504,903 

381,671 

23,633 

1,467,578 

13,473 

41,202 

43,192 



+ 11. 1 
-1.8 

+ 12.0 
-4.9 

-1.2 

+ 10.8 
+7.8 

+ 17.3 

+5.0 
-13.8 

+5.4 
+ 15.5 

+6.9 

+5.8 

+ 13.3 

+7.7 

+4.7 

+3.3 

+27.2 

+ 15.9 

+3.4 



62,209 

3,018 

5,466 

412 

24,225 
64,046 
22,055 

391 

8,370 

57,440 

497 

928 

8,038 

58,460 
11,410 
59,072 

1,479 
145,929 

1,637 
35,556 
41,755 



70,843 

3,334 

5,474 

320 

24,300 
71,838 
24,577 

467 

8,730 

45,616 

648 

1,055 

8,317 

61,599 

13,459 

64,167 

1,766 

146,512 

2,107 

41,202 

43,192 



+ 13.9 
+ 10.5 

+.1 
-22.3 

+.3 
+ 12.2 
+ 11.4 

+ 19.4 

+4.3 
-20.6 
+30.4 
+ 13.7 

+3.5 

+5.4 
+ 18.0 

+8.6 
+ 19.4 

+.4 

+28.7 

+ 15.9 

+3.4 



82,943 

17,367 

59,538 

3,161 

11,739 
19,057 
9,599 

51,544 

4,725 

121,213 

1,589 

6,196 

94,492 

67,970 

48,255 

84,144 

3,240 

276,950 

1,934 

13,113 

54,686 



94,069 

17,435 

62,908 

3,167 

11,721 

20,506 

9,879 

50,823 

4,967 

106,284 

1,427 

7,706 

105,301 

71,499 
56,007 
91,894 

3.363 
296,780 

2,360 
15,777 
58,183 



+13.4 

+.4 

+5.7 

+.2 

-.2 
+7.6 
+2.9 

-1.4 

+5.1 
-12.3 
-10.2 
+24.4 
+ 11.4 

+5.2 

+16.1 

+9.2 

+3.8 

+7.2 

+22.0 

+20.3 

+6.4 



18,728 

1,454 

2,119 

400 

2,419 
6,441 
1,530 

639 

702 

7,483 

18 

588 
1,328 

22,739 
2,246 
15.087 

257 
38.546 

366 
13.113 
54.686 



21,777 

1.660 

2,172 

229 

2.510 
6.507 
1.604 

581 

628 

5,437 

21 

626 
1,382 

23,688 
2,326 
16,336 

327 
38.641 

485 
15,777 
58,183 



+6.5 



+2.1 

-27.3 

+26.4 

+ 17.0 

+4.2 

+8.7 

+8.2 

+8.2 



+19.0 
+8.4 



+9.2 



+16.3 

+14.2 

+2.5 

-42.8 

+3.8 
+1.0 
+4.8 

-9.1 

-10.5 

-27.3 

+16.7 

+6.5 

+4.1 

+4.2 

+3.6 

+8.3 

+27.2 

+.2 

+32.5 

+20.3 

+6.4 



'Violent crimes are ofTenses of murder, forcible rape, robbery, and aggravated assault. 
^Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arwn. 
includes arson. 



196 



Table 41.— Oty Arrests, Distribution by Age, 1990 

(7.126 agencies; 1990 population 132,247,000) 



Offense charged 



Tom 

■11 ages 



Ages 

under 

15 



Ages 

under 

18 



Ages 

18 and 

over 



Age 



Under 
10 



10-12 



13-14 



15 



16 



17 



19 



20 



TOTAL 

Pcrent distribatioii 

Murder and nonnegligcnt 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 . 
Sen ofTenses (except forcible rape and 

prostitution) 

Dnjg 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 



8,723,889 
100.0 



14,149 

23,246 

120,898 

292,522 

257,486 

1,055,699 

134,914 

10.935 



450,815 

100.0 

1,459.034 

100.0 



1,909.849 
100.0 



635,546 

56,205 

170,990 

8,714 

107,011 
206.675 
143,610 

84,141 

63,241 

692,341 

12,678 

37,158 

875,407 

438,378 

591,291 

512,137 

29,306 

1.961.488 

16.264 

61.506 

109,953 



509,432 
5.8 



1,471,431 
16.9 



7,252,458 
83.1 



36,871 

.4 



128,686 



343,875 
3.9 



272J04 
3.1 



324364 

3.7 



365,331 
4.2 



421,090 
4.8 



443,445 
5.1 



237 

1,240 

8,271 

12,268 

34,770 

149,626 

16.753 

3.411 



2,192 

3,563 

30,204 

42,240 

85,010 

324,533 

60,092 

5,150 



11,957 

19,683 

90,694 

250,282 

172.476 

731.166 

74,822 

5,785 



3 

81 

199 

764 

2,890 

12,048 

186 

816 



17 
261 
1,599 
2,900 
9,415 
46,930 
2,055 
1,130 



217 

898 

6,473 

8,604 

22,465 

90,648 

14,512 

1,465 



393 

667 

5,997 

7,921 

15,626 

56,227 

14,616 

666 



681 

778 

7,681 

10.021 

17,108 

59.948 

15,255 

597 



881 

878 

8,255 

12,030 

17,506 

58,732 

13,468 

476 



1.121 

1.083 

8,567 

12,706 

16,891 

55,553 

10,043 

414 



1,043 

1,037 

8,084 

12,959 

14,277 

48,181 

8,211 

372 



22.016 

4.9 

204.560 

14.0 



78,199 

17.3 

474,785 

32.5 



372.616 
82.7 

984,249 
67.5 



1,047 

.2 

15,940 

1.1 



4,777 

1.1 

59,530 

4.1 



16,192 

3.6 

129,090 



14,978 
3.3 

87,135 
6.0 



19,161 

4.3 

92,908 

6.4 



22,044 
4.9 

90,182 
6.2 



23,477 

5.2 

82,901 

5.7 



23,123 
5.1 

71,041 
4.9 



226.576 
11.9 



552,984 
29.0 



1,356,865 
71.0 



16,987 
.9 



64,307 
3.4 



145,282 
7.6 



102,113 
5.3 



112,069 
5.9 



112,226 
5.9 



106.378 
5.6 



94,164 
4.8 



40,347 

1,072 

2.225 

51 

8.114 

42,249 

7,304 

127 

5.165 

7,689 

141 

736 

272 

8.482 

1,989 

26.923 

713 

61.216 

959 

17,692 

49,390 



101,108 

5,576 

8,135 

681 

29.107 
84,630 
28,056 

1,157 

10,140 

55,398 

731 

2,198 

10,756 

95,123 

16,587 

86,754 

2,173 

205,946 

2,732 

61,506 

109,953 



534,438 

50,629 

162,855 

8,033 

77,904 
122,045 
115,554 

82,984 

53,101 

636.943 

11,947 

34,960 

864.651 

343,255 
574.704 
425.383 

27,133 
1,755,542 

13,532 



2,790 
50 
70 

5 

245 

5,954 

234 

11 

479 
149 

10 
143 

80 

166 
107 

1,846 
29 

5,240 
104 
301 

1,871 



11,310 

270 

347 

5 

1,551 

13,528 

1,328 

21 

1,500 
740 

20 
140 

29 

697 

194 
6,551 

133 
13,983 

240 
2,710 
9,082 



26,247 

752 

1,808 

41 

6,318 

22,767 
5,742 

95 

3,186 

6,800 

111 

453 

163 

7,619 

1,688 

18,526 

551 

41,993 

615 

14,681 

38,437 



18,394 

850 

2,050 

57 

5.952 
13,854 
5.347 

162 

1.812 

9,323 

132 

509 

494 

13,662 
2,502 
16,201 

473 
35,317 

524 
14,361 
28,215 



19,971 

1,479 

1,482 

186 

7,015 
14,325 
6,888 

291 

1,576 

15,615 

187 

484 

2,720 

27,472 

4,155 

19,802 

525 

47,798 

600 

16,928 

22,796 



22,396 

2,175 

2,378 

387 

8,026 
14.202 
8,517 

577 

1,587 

22,771 

271 

469 

7.270 

45,507 

7,941 

23.828 

462 

61,615 

649 

12,525 

9,552 



23.223 

2.977 

4.760 

537 

8,660 
12,093 
9,768 

1,547 

1,770 

32,012 

378 

1,169 
17,884 

67,402 
15,606 
27,409 
1,066 
85,767 
684 



25,573 

3.421 

7,003 

648 

7,324 
10,773 
9,222 

2,595 

1,930 

35,653 

380 

1,253 
25,935 

70,580 
18,379 
28,561 
1,001 
98,288 
762 



410,149 

4.7 



884 

1.007 

6.741 

12,698 

11,616 

40,239 

6.174 

273 



21,330 
4.7 

58,302 
4.0 



79,632 
4.2 



25,523 

3,017 

7,635 

537 

5,919 

8,759 
7,795 

3,423 

1,932 

34,504 

324 

1,377 
29,593 

55,834 
18,586 
26,959 

859 
97,298 

643 



Sec footnotes at end of table. 



197 



Table 41.— City Arrests, Distribution by Age, 1990— Continued 



OfTense charged 



Age 



22 



23 



24 25-29 30-34 35-39 40-44 45-49 50-54 



55-59 



60-64 



65 and 
over 



TOTAL 

Percent dutribntion' 

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 ofTenses (except forcible rape and 

prostitution) 

Drug abuse violations 

Gambling 

OfTenses 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 



369,706 
4.2 



753 

1,001 

5,994 

12,314 

10,024 

34,710 

5,093 

245 



20,062 
4.5 

50,072 
3.4 



70134 

3.7 



26,376 

2,754 

7,732 

450 

4,855 
7,602 
6,955 

4,073 

1,905 

33,240 

311 

1,555 
38,697 

16,586 
22,846 
27,524 

839 
94,580 

692 



339 J90 
3.9 



324,079 

3.7 



323,861 

3.7 



1428,464 
173 



1,216,221 
13.9 



796,447 
9.1 



465,701 
SJ 



253,668 
2.9 



14638S 

1.7 



89,927 
1.0 



59,131 

.7 



661 

955 

5,300 

11,635 

8,978 

30,808 

4,339 

272 



574 

930 

5,080 

11,475 

8,349 

29,536 

3,911 

253 



550 

908 

4,897 

11,540 

8,035 

28,931 

3,500 

224 



2,262 

4,396 

20,774 

55,419 

37,452 

139,083 

14,520 

1,099 



1,573 

3,560 

13,621 

44,055 

28,101 

119,209 

9,558 

898 



1,030 

2,104 

6,827 

28,368 

15,922 

82,746 

5,090 

677 



623 

1,187 

2,872 

16,572 

7,221 

47,890 

2,434 

458 



353 

643 

1,069 

8,681 

3,112 

25,826 

1,075 

257 



197 

386 

452 

5,005 

1,289 

15,795 

444 

131 



123 

189 

215 

2,916 

618 

11,003 

200 

93 



94 

149 

105 

1,919 

260 

8,449 

107 

56 



18,551 
4.1 

44,397 
3.0 



18,059 
4.0 

42,049 
2.9 



17,895 
4.0 

40,690 
2.8 



82,851 

18.4 

192,154 

13.2 



62,809 

13.9 

157,766 

108 



38,329 

8.5 
104.435 

7.2 



21,254 
4.7 

58,003 
4.0 



10,746 
2.4 

30,270 
2.1 



6,040 
1.3 

17,659 
1.2 



-3,443 

.8 

11.914 



2,267 
.5 

8,872 
.6 



62,948 
3.3 



60 1 08 
3.1 



58,585 
3.1 



275,005 
14.4 



220,575 
11.5 



142,764 

7.5 



79,257 
4.1 



41,016 
2.1 



23,699 
1.2 



15,357 



11,139 
.6 



25,355 

2,548 

7,798 

435 

4,175 
6,672 
6,206 

3,950 

1,885 

31,793 

284 

1,445 
37,070 

12,108 
21,243 
24,076 

892 
87,921 

586 



25,665 

2,323 

7,591 

445 

3,710 
6,197 
5,679 

4,272 

1,989 

30828 

262 

1,445 
36,423 

9,238 
20797 
21,694 

821 
83,999 

593 



26,178 

2,406 

7,860 

387 

3,617 
5,929 
5,452 

4,711 

2,006 

31,687 

304 

1,567 
37,440 

8,165 
21,294 
21,427 

923 
83,310 

613 



127,018 

11,274 

36,438 

1,692 

14,852 
25,692 
22,471 

23,983 

10,812 

153,206 

1,544 

7,760 

193,063 

31,882 

1 10,648 

90355 

5,017 

382,570 

3,182 



97,855 
8,943 

29,623 
1,159 

10,698 
17,736 
16,141 

17,529 

9,396 

119,911 

1,569 

7,000 

159,082 

23,898 

103,355 

65,875 

5,148 

298,152 

2,576 



59.970 

5,537 

20,694 

801 

6.981 
9,985 
10,379 

8,861 

6,767 

72,375 

1,359 

4,970 

108,248 

16,908 

79,036 

39,734 

4,124 

195,294 

1,660 



33,531 
2,883 
12,312 

435 

3,614 
5,190 
6,599 

3,916 

4,551 

35,579 

1,230 

2,700 

71,378 

11,526 

52,388 

22,952 

2,523 

112,301 

836 



17,159 
1,371 
6,045 

254 

1,751 
2,472 
3,674 

1,787 

2,864 

14,494 

1,121 

1,309 

43,737 

7,162 
33,775 
12,145 

1,553 

59,631 

348 



9,064 
615 

3,552 
120 

807 
1,315 
2,070 

1,000 

1,860 

6,382 

960 

622 

26,693 

4,979 

22,160 

6,853 

1,050 

32,393 

191 



5,269 

263 

1,615 

70 

440 

678 

1,289 

551 

1,290 

2,869 

735 

342 

17,261 

3,143 
14,905 
4,051 
648 
19,059 
92 



3,125 

146 

1,062 

36 

264 
413 
929 

353 

961 

1,409 

555 

211 

11,417 

2,029 
9,962 
2,775 
387 
11,921 
37 



64,794 

.7 



116 

148 

96 

2,020 

331 

13,207 

123 

63 



2,380 

.5 

13,724 

.9 



16,104 



3,554 

151 

1,135 

27 

237 
539 
925 

433 

1,183 

1,001 

631 

235 

10.730 

1,815 

9,724 

2,993 

282 

13,058 

37 



'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. 



198 



Table 42.— City Arrests of Persons under 15, 18, 21, and 25 Years of Age, 1990 

[7,126 agencies; 1990 population 132,247,000] 



Offense charged 



Total all 
ages 



Number of persons arrested 



Under 15 Under 18 Under 21 



Under 25 



Percent of total all ages 



Under 
15 



Under 
18 



Under 
21 



Under 
25 



TOTAL 

Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 

Violent crime' 

Property crime^ 

Crime Index total' 

Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property, buying, receiving, possessing 

Vandalism 

Weapons; carrying, possessing, etc 

Prostitution and commercialized vice 

Sex offenses (except forcible rape and prostitution) 

Dr\ig 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 



8,723,889 



14,149 

23,246 

120,898 

292,522 

257,486 

1,055,699 

134,914 

10,935 



450,815 
1,459,034 



1,909,849 



635,546 
56,205 
170,990 
8,714 
107,011 
206,675 
143,610 

84,141 
63,241 

692,341 
12,678 
37.158 

875,407 

438,378 

591,291 

512,137 

29,306 

1,961,488 

16,264 

61,506 

109,953 



S09,432 



1,471,431 



2,746,115 



4,103,151 



5.8 



16.9 



237 

1,240 

8,271 

12,268 

34,770 

149,626 

16,753 

3,411 



2,192 

3,563 

30.204 

42,240 

85,010 

324,533 

60,092 

5,150 



5,240 

6,690 

53,596 

80,603 

127,794 

468,506 

84,520 

6,209 



7,778 

10,484 

74,867 

127,567 

163,180 

592.491 

101,363 

7,203 



1.7 

5.3 

6.8 

4.2 

13.5 

14.2 

12.4 

31.2 



15.5 
15.3 
25.0 
14.4 
33.0 
30.7 
44.5 
47.1 



22,016 
204,560 



78,199 
474,785 



146.129 
687,029 



220,696 
864,237 



4.9 
14.0 



17.3 
32.5 



226,576 



552,984 



833,158 



1,084,933 



11.9 



29.0 



40,347 

1,072 

2,225 

51 

8,114 

42,249 
7,304 

127 
5,165 
7,689 

141 

736 
272 

8,482 

1,989 

26,923 

713 

61,216 

959 

17,692 

49,390 



101,108 

5,576 

8,135 

681 

29,107 

84,630 

28,056 

1,157 

10,140 

55,398 

731 

2,198 
10,756 

95,123 

16,587 

86,754 

2,173 

205,946 

2,732 

61,506 

109,953 



175,427 

14,991 

27,533 

2,403 

51,010 

116,255 
54,841 

8,722 

15,772 

157,567 

1,813 

5,997 

84,168 

288.939 

69,158 

169,683 

5,099 

487,299 

4,821 

61,506 

109,953 



279,001 

25,022 

58,514 

4,120 

67,367 

142,655 
79,133 

25,728 
23,557 

285,115 
2.974 
12,009 

233,798 

335,036 
155.338 
264,404 

8,574 
837,109 

7,305 
61,506 
109,953 



6.3 
1.9 
1.3 
.6 
7.6 
20.4 
5.1 

.2 
8.2 
1.1 
1.1 
2.0 
(4) 

1.9 

.3 

5.3 

2.4 

3.1 

5.9 

28.8 

44.9 



15.9 
9.9 
4.8 
7.8 
27.2 
40.9 
19.5 

1.4 
16.0 
8.0 
5.8 
5.9 
1.2 

21.7 
2.8 
16.9 
7.4 
10.5 
16.8 
100.0 
100.0 



31S 



37.0 
28.8 
44.3 
27.6 
49.6 
44.4 
62.6 
56.8 



32.4 
47.1 



43.6 



27.6 
26.7 
16.1 
27.6 
47.7 
56.3 
38.2 

10.4 
24.9 
22.8 
14.3 
16.1 
9.6 

65.9 
11.7 
33.1 
17.4 
24.8 
29.6 
100.0 
100.0 



47.0 



55.0 
45.1 
61.9 
43.6 
63.4 
56.1 
75.1 
65.9 



49.0 
59.2 



56.8 



43.9 
44.5 
34.2 
47.3 
63.0 
69.0 
55.1 

30.6 
37.2 
41.2 
23.5 
32.3 
26.7 

76.4 
26.3 
51.6 
29.3 
42.7 
44.9 
100.0 
100.0 



'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 
^Property crimes are offenses of burglary, larceny-theft, molor vehicle theft, and ar^on. 
'Includes arson. 
*Less than one-tenth of 1 percent. 



199 



Table 43.— City Arrests, Distribution by Sex, 1990 
(7,126 agencies; 1990 population 132,247,000] 



Oflense charged 



Number of persons arrested 



Total 



Male 



Female 



Percent 
male 



Percent 
female 



Percent distribution' 



Total 



Male 



Female 



TOTAL 

Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 

Violent crime^ 

Property crime* 

Crime Index total' 

Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, possessing 

Vandalism 

Weapons; carrying, possessing, etc 

Prostitution and commercialized vice 

Sex offenses (except forcible rape and prostitution) 

Drug abuse violations 

Gambling 

Offenses against family and children 

Driving under the influence 

Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) 

Suspicion 

Curfew and loitering law violations 

Runaways 



8,723,889 



14,149 

23,246 

120,898 

292,522 

257,486 

1,055,699 

134,914 

10,935 



450,815 
1,459,034 



1,909,849 



635,546 
56,205 
170,990 
8,714 
107,011 
206,675 
143,610 

84,141 
63,241 

692,341 
12,678 
37,158 

875,407 

438,378 

591,291 

512,137 

29,306 

1,961,488 

16,264 

61,506 

109,953 



7,087,906 



l,«3S,983 



81.2 



18.8 



100.0 



12,749 
23,015 
110,799 
252,462 
233,924 
711,249 
121,466 
9,437 



1,400 

231 

10,099 

40,060 

23,562 

344,450 

13,448 

1,498 



90.1 
99.0 
91.6 
86.3 
90.8 
67.4 
90.0 
86.3 



9.9 

1.0 

8.4 

13.7 

9.2 

32.6 

10.0 

13.7 



.2 

.3 

1.4 

3.4 

3.0 

12.1 

1.5 

.1 



399,025 
1,076,076 



51,790 
382,958 



88.5 
73.8 



11.5 
26.2 



5.2 
16.7 



1,475,101 



434,748 



77.2 



22.8 



21.9 



532,819 
36,601 

100,479 

4,994 

94,089 

184,247 

132,790 

29,345 
57,747 

576,788 
11,066 
28,186 

758,138 

357,261 

531,950 

413,295 

25,664 

1,632,338 

13,842 

44,326 

46,840 



102,727 
19,604 
70,511 
3,720 
12,922 
22,428 
10,820 

54,796 
5.494 

115,553 
1,612 
8,972 

117,269 

81,117 
59,341 
98,842 

3,642 
329,150 

2,422 
17,180 
63,113 



83.8 
65.1 
58.8 
57.3 
87.9 
89.1 
92.5 

34.9 
91.3 
83.3 
87.3 
75.9 
86.6 

81.5 
90.0 
80.7 
87,.6 
83.2 
85.1 
72.1 
42.6 



16.2 
34.9 
41.2 
42.7 
12.1 
10.9 
7.5 

65.1 
8.7 
16.7 
12.7 
24.1 
13.4 

I8.S 
10.0 
19.3 
12.4 
16.8 
14.9 
27.9 
57.4 



7.3 
.6 
2.0 
.1 
1.2 
2.4 
1.6 

1.0 
.7 

7.9 

.1 

.4 

10.0 

5.0 

6.8 

5.9 

.3 

22.5 

.2 

.7 

1.3 



100.0 



.2 

.3 

1.6 

3.6 

3.3 

10.0 

1.7 

.1 



5.6 
15.2 



20.8 



7.5 
.5 
1.4 
.1 
1.3 
2.6 
1.9 

.4 
.8 
8.1 
.2 
.4 
10.7 

5.0 

7.5 

5.8 

.4 

23.0 

.2 

.6 

.7 



100.0 



.1 

(2) 

.6 

2.4 

1.4 

21.1 

.8 

.1 



3.2 
23.4 



26.6 



6.3 
1.2 
4.3 
.2 
.8 
1.4 
.7 

3.3 
.3 

7.1 
.1 
.5 

7.2 

5.0 
3.6 
6.0 

.2 
20.1 

.1 
1.1 
3.9 



■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. 



200 



Table 44.— City Anests, Distribution by Race, 1990 

[7.112 agencies; 1990 population 132,012,000] 



Offense charged 



Total arrests 



Total 



White 



Black 



American 
Indian 

or 
Alaskan 

Native 



Asian 

or 
Pacific 
Islander 



Percent distribution' 



Total 



White 



Black 



American 
Indian 



Alaskan 
Native 



Pacific 
Islander 



TOTAL 

Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 

Violent crime^ 

Property crime' 

Crime Index total* 

Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, 

possessing 

Vandalism 

Weapons; carrying, possessing, etc. ... 

Prostitution and commercialized vice . 
Sex 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 



8,703,047 



14,113 

23,195 

120,671 

292,022 

256,984 

1,054,015 

134,802 

10,897 



450,001 
1,456,698 



1,906,699 



633,917 

56,097 

170,525 

8.71 1 

106,730 
206,103 
143,094 

83,961 

63,125 

690,855 

12,663 

36,755 

872,902 

437,425 

588,684 

511,292 

29,090 

1,957,968 

16,259 

61,207 

108,985 



5,776,360 



2,754,678 



94,844 



77,165 



100.0 



66.4 



31.7 



5,191 

11,478 

44,072 

164,793 

166,069 

699,199 

75,878 

7,874 



8,703 

11,316 

75,248 

122,427 

86,468 

329,527 

56,017 

2,847 



86 

163 

414 

2,385 

2,069 

12,057 

922 

92 



133 

238 

937 

2,417 

2,378 

13,232 

1,985 

84 



100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



36.8 
49.5 
36.5 
56.4 
64.6 
66.3 
56.3 
72.3 



61.7 
48.8 
62.4 
41.9 
33.6 
31.3 
41.6 
26.1 



225,534 
949,020 



217,694 
474,859 



3,048 
15,140 



3,725 
17,679 



100.0 
100.0 



50.1 
65.1 



48.4 
32.6 



1,174,554 



692,553 



18,188 



21,404 



100.0 



61.6 



36.3 



388,033 

34,830 

107,899 

5,677 

57,862 

150,855 

79,262 

49,118 

47.759 

381,914 

5,353 

23,968 
767,141 

377,897 

456,091 

327,190 

16,097 

1,184,928 

6,247 

48,387 

85,298 



233,544 

20,517 

61,202 

2,899 

47,486 
51,371 
61,499 

33,760 

14,117 

303,764 

6,607 

10,666 

88.812 

45,207 
118,189 
175,749 

12,290 

733,164 

9,912 

11,182 

20,188 



7,419 

307 

589 

42 

513 

1,958 

653 

417 

592 

2,076 

19 

512 
9.795 

11,737 

12,985 

5,977 

598 

18,433 

31 

679 

1,324 



4,921 

443 

835 

93 

869 
1,919 
1,680 

666 

657 
3,101 

684 
1,609 
7.154 

2.584 

1,419 

2,376 

105 

21,443 

69 

959 

2,175 



100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 

100.0 

100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



61.2 
62.1 
63.3 
65.2 

54.2 
73.2 
55.4 

58.5 

75.7 
55.3 
42.3 
65.2 
87.9 

86.4 
77.5 
64.0 
55.3 
60.5 
38.4 
79.1 
78.3 



36.8 
36.6 
35.9 
33.3 

44.5 
24.9 
43.0 

40.2 

22.4 
44.0 
52.2 
29.0 
10.2 

10.3 
20.1 
34.4 
42.2 
37.4 
61.0 
18.3 
18.5 



1.1 



.7 
I.O 



1.0 



1.2 
.5 
.3 

.5 

.5 
1.0 

.5 



.9 

.3 

.2 

1.4 

I.I 

2.7 
2.2 
1.2 
2.1 
.9 
.2 
1.1 
1.2 



.9 
1.0 
.8 
.8 
.9 
1.3 
1.5 



1.2 



I.I 



.8 

.8 

.5 

1.1 



.9 
1.2 



1.0 

.4 

5.4 

4.4 



.6 
.2 
.5 
.4 
I.I 
.4 
1.6 
2.0 



See footnotes at end of table. 



201 



Table 44.— City Arrests, Distribntion by Race, 1990— Continued 



OiTense charged 



Arrests under 18 



Total 



White 



Black 



American 

Indian 

or 

Alaskan 
Native 



Asian 



Pacific 
Islander 



Percent distribution' 



Total 



White 



Black 



Amencan 
Indian 



Alaskan 
Native 



Asian 



Pacific 
Islander 



TOTAL 

Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 

Violent crime' 

Property crime^ 

Crime Index total* 

Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, 

possessing 

Vandalism 

Weapons; carrying, possessing, etc. ... 

Prostitution and commercialized vice . 
Sex ofTenses (except forcible rape and 

prostitution) 

Drug abuse violations 

Gambling 

Offenses against family and children . 
Driving under the influence 

Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other oftenses (except traffic) 

Suspicion 

Curfew and loitering law violations ... 
Runaways 



1,467,060 



2,191 

3,562 

30,154 

42,133 

84,815 

324,035 

60,049 

5,140 



78,040 
474,039 



552,079 



100,680 

5,572 

8,131 

681 

29,072 
84,405 
28,004 

1,156 

10,124 

55,299 

731 

2,158 

10,731 

94,847 

16,558 

86,542 

2,173 

205,194 

2,731 

61,207 

108,985 



1,020,622 



409,510 



1S,12S 



21,803 



100.0 



69.6 



27.9 



790 

1,660 

10,673 

22,688 

61,531 

234,517 

33,843 

4.102 



1,371 
1,841 
19,035 
18,688 
21,126 
79,660 
24,513 
941 



5 

23 

95 

275 

870 

4,177 

534 

52 



25 

38 

351 

482 

1,288 

5,681 

1,159 

45 



100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



36.1 
46.6 
35.4 
53.8 
72.5 
72.4 
56.4 
79.8 



62.6 
51.7 
63.1 
44.4 
24.9 
24.6 
40.8 
18.3 



35,811 
333,993 



40,935 
126,240 



398 
5,633 



896 
8,173 



100.0 
iOO.O 



45.9 
70.5 



52.5 
26.6 



369,804 



167,175 



6,031 



9,069 



100.0 



67.0 



30.3 



60,259 

4,115 

4,605 

473 

16,135 
66,451 
16,941 

742 

6,908 

26.410 

126 

1,593 
10,035 

87,480 
14,556 
56,607 

1,530 
140,353 

1,814 
48.387 
85.298 



37,924 

1,355 

3,378 

199 

12,428 
16,260 
10,544 

395 

3,042 

28,366 

585 

497 

450 

4,616 

1,683 

28,763 

591 

59,018 

871 

11,182 

20,188 



890 


1,607 


100.0 


47 


55 


100.0 


31 


117 


100.0 


I 


8 


100.0 


155 


354 


100.0 


700 


994 


100.0 


101 


418 


100.0 



13 

47 

226 

3 

4 

178 

2,153 

265 

567 

20 

1,684 

6 

679 

1,324 



127 

297 

17 

64 

68 

598 

54 

605 

32 

4,139 

40 

959 

2,175 



100.0 

100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



59.9 
73.9 
56.6 
69.5 

55.5 
78.7 
60.5 

64.2 

68.2 
47.8 
17.2 
73.8 
93.5 

92.2 
87.9 
65.4 
70.4 
68.4 
66.4 
79.1 
78.3 



37.7 
24.3 
41.5 
29.2 

42.7 
19.3 

37.7 

34.2 

30.0 
51.3 
80.0 
23.0 
4.2 

4.9 
10.2 
33.2 
27.2 
28.8 
31.9 
18.3 
18.5 



.2 

.6 

.3 

.7 

1.0 

1.3 

.9 

1.0 



.5 
1.2 



1.1 



.9 
.8 
.4 
.1 

.5 
.8 
.4 

1.1 

.5 
.4 
.4 
.2 
1.7 

2.3 
1.6 
.7 
.9 
.8 
.2 
1.1 
1.2 



1.5 



1.1 
1.1 
1.2 
1.1 
1.5 
1.8 
1.9 
.9 



1.1 
1.7 



1.6 



1.6 
1.0 
1.4 
1.2 

1.2 
1.2 
1.5 



1.3 

.5 

2.3 

3.0 

.6 

.6 

.3 
.7 
1.5 
2.0 
1.5 
1.6 
2.0 



See footnotes at end of table. 



202 



Table 44.— City Arrests, Distribution by Race, 1990— Continued 



OfTense charged 



Arrests 18 and over 



Total 



White 



Black 



American 
Indian 

or 
Alaskan 
Native 



Pacific 
Islander 



Percent distribution' 



Total 



White 



Black 



American 
Indian 



Alaskan 
Native 



Pacific 
Islander 



TOTAL 

Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 

Violent crime^ 

Properly crime' 

Crime Index total* 

Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, 

possessing 

Vandalism 

Weapons; carrying, possessing, etc. ... 

Prostitution and commercialized vice . 
Sex offenses (except forcible rape and 

prostitution) 

Drug abuse violations 

Gambling 

Offenses against family and children . 
Driving under the influence 

Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) 

Suspicion 

Curfew and loitering law violations ... 
Runaways 



7,235,987 



11,922 

19,633 

90,517 

249,889 

172,169 

729,980 

74,753 

5,757 



371,961 
982,659 



1,354,620 



533,237 

50,525 

162,394 

8,030 

77,658 
121,698 
115,090 

82,805 

53,001 

635,556 

11,932 

34,597 

862,171 

342,578 

572,126 

424,750 

26,917 

1,752,774 

13,528 



4,755,738 



2,345,168 



79,719 



55,362 



100.0 



65.7 



32.4 



4,401 

9,818 

33.399 

142,105 

104,538 

464,682 

42,035 

3.772 



7,332 

9,475 

56,213 

103,739 

65,342 

249,867 

31,504 

1,906 



81 

140 

319 

2,110 

1,199 

7,880 

388 

40 



108 

200 

586 

1,935 

1,090 

7,551 

826 

39 



100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



36.9 
50.0 
36.9 
56.9 
60.7 
63.7 
56.2 
65.5 



61.5 
48.3 
62.1 
41.5 
38.0 
34.2 
42.1 
33.1 



189,723 
615,027 



176.759 
348,619 



2,650 
9,507 



2,829 
9,506 



100.0 
100.0 



51.0 

62.6 



47.5 
35.5 



804,750 



525,378 



12,157 



12,335 



100.0 



59.4 



38.8 



327,774 

30,715 

103,294 

5,204 

41,727 
84,404 
62,321 

48,376 

40,851 
355,504 

5,227 

22,375 

757,106 

290,417 

441.535 

270,583 

14,567 

1,044.575 

4.433 



195,620 

19,162 

57,824 

2,700 

35,058 
35,111 
50,955 

33,365 

11,075 

275,398 

6,022 

10,169 

88,362 

40,591 
116,506 
146,986 

11,699 

674,146 

9,041 



6,529 

260 

558 

41 

358 

1,258 

552 

404 

545 

1,850 

16 

508 
9,617 

9,584 

12,720 

5,410 

578 

16,749 

25 



3,314 

388 

718 

85 

515 

925 

1,262 

660 

530 
2,804 

667 
1,545 
7,086 

1,986 
1,365 

1,771 

73 

17,304 

29 



100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 

100.0 

100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



61.5 
60.8 
63.6 
64.8 

53.7 
69.4 
54.1 

58.4 

77.1 
55.9 
43.8 
64.7 
87.8 

84.8 
77.2 
63.7 
54.1 
59.6 
32.8 



36.7 
37.9 
35.6 
33.6 

45.1 
28.9 
44.3 

40.3 

20.9 
43.3 
50.5 
29.4 
10.2 

11.8 
20.4 
34.6 
43.5 
38.5 
66.8 



.7 
.7 
.4 
.8 
.7 
I.I 
.5 
.7 



.7 
1.0 



1.2 
.5 
.3 
.5 

.5 
1.0 
.5 



1.0 
.3 
.1 
1.5 
1.1 

2.8 
2.2 
1.3 
2.1 
1.0 
.2 



.9 

I.O 

.6 

.8 

.6 

1.0 

I.I 

.7 



.8 

1.0 



.4 
I.I 

.7 
.8 
I.I 



1.0 

.4 

5.6 

4.5 

.8 

.6 
.2 
.4 
.3 
1.0 
.2 



'Because of rounding, the percentages may not add to total. 

'Violent crimes arc offenses of murder, forcible rape, robbery, and aggravated assault. 
'Property crimes arc offenses of burglary, larceny-theft, motor vehicle theft, and arson. 
^Includes arson. 



203 



Table 45.— Suburban Ccuty Arrest Tre-jds, 1989-1990 

[762 agencies; 1990 population 32,247,000) 











Number of persons 


arrested 








Offense charged 


Total all ages 


Under 


18 years of age { 


18 years of age and 


over 




1989 


1990 


Percent 
change 


1989 


1990 


Percent 
change 


1989 


1990 


Percent 
change 


TOTAL 


U77,403 


1,426,685 


+3.6 


164,890 


172,121 


+4.4 


1,212,513 


1,254.564 


+3S 








1,962 

3,911 

9,290 

41,943 

45,268 

112,002 

21,650 

2,120 


2,245 

4,241 

9,779 

46,753 

42,714 

115,363 

20,974 

2,264 


+ 14.4 
+8.4 
+5.3 

+ 11.5 
-5.6 
+3.0 
-3.1 
+6.8 


160 

605 

1,637 

4,720 

15,198 

30,138 

7,823 

908 


205 

619 

1,924 

5,638 

14,668 

31,675 

8,257 

963 


+28.1 
+2.3 
+17.5 
+ 19.4 
-3.5 
+5.1 
+5.5 
+6.1 


1,802 

3,306 

7,653 

37,223 

30,070 

81,864 

13,827 

1,212 


2,040 

3,622 

7,855 

41,115 

28,046 

83,688 

12,717 

1,301 


+ 13.2 




+9.6 


Robbery 


+2.6 




+10.5 




-6.7 




+2.2 




-8.0 




+7.3 








57,106 
181,040 


63,018 
181,315 


+ 10.4 

+.2 


7,122 
54,067 


8,386 
55,563 


+ 17.7 
+2.8 


49,984 
126,973 


54,632 
125,752 


+9.3 


Prooertv crime^ 


-1.0 








238,146 


244,333 


+2.6 


61.189 


63,949 


+4.5 


176,957 


180,384 


+1.9 








84,847 
10,226 
54,045 
1,847 
16,267 
26,692 
20,456 

3,927 

11,696 

128,008 

1,793 

15,753 

288,609 

49,928 

63,939 

34,083 

1,549 

307,881 

488 

1,515 

16,196 


95,344 
9,979 
55,880 
1,753 
15,721 
28,115 
20,506 

4,328 

12,054 

107,709 

1,797 

19,570 

311,447 

57,332 

70,617 

35,596 

1,560 

314,312 

614 

1,733 

16,999 


+ 12.4 
-2.4 
+3.4 
-5.1 
-3.4 
+5.3 
+.2 

+ 10.2 

+3.1 

-15.9 

+.2 

+24.2 

+7.9 

+ 14.8 
+ 10.4 

+4.4 
+.7 

+2.1 
+25.8 
+ 14.4 

+5.0 


10,536 

540 

697 

114 

3,363 

11,077 

2,791 

67 

2,021 

8,279 

56 

197 

2,566 

11,976 

1,553 

5,511 

312 

24,334 

58 

1,515 

16,196 


11,763 

649 

671 

110 

3,596 

11,465 

2,848 

101 

2,047 

6,100 

54 

244 
2,684 

13,429 

1,667 

6,202 

301 

25,509 

78 

1,733 

16,999 


+ 11.6 
+20.2 
-3.7 
-3.5 
+6.9 
+3.5 
+2.0 

+50.7 
+ 1.3 

-26.3 
-3.6 

+23.9 
+4.6 

+ 12.1 
+7.3 

+ 12.5 
-3.5 
+4.8 

+34.5 

+ 14.4 
+5.0 


74,311 
9,686 
53,348 
1,733 
12,904 
15,615 
17,665 

3,860 
9,675 

119,729 

1,737 

15,556 

286,043 

37,952 

62,386 

28,572 

1,237 

283,547 

430 


83,581 
9,330 
55,209 
1,643 
12,125 
16,650 
17,658 

4,227 

10,007 

101,609 

1,743 

19,326 

308,763 

43,903 

68,950 

29,394 

1,259 

288,803 

536 


+12.5 




-3.7 




+3.5 




-5.2 




-6.0 




+6.6 




(4) 




+9.5 




+3.4 
-15.1 




+.3 




+24.2 




+7.9 




+ 15.7 




+ 10.5 




+2.9 




+1.8 




+1.9 




+24.7 























'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. 
Mncludes arson. 
*Less than one-tenth of I percent. 



204 



Table 46.— Suburban County Arrest Trends, Sex, 1989-1990 
[762 agencies; 1990 population 32,247,000) 



OfTense charged 



Males 



Total 



1989 



1990 



Percent 
change 



Under 18 



1989 



1990 



Percent 
change 



Females 



Total 



1989 



1990 



Percent 
change 



Under 18 



1989 



1990 



Percent 
change 



TOTAL 

Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Ar^on 

Violent crime' 

Property crime^ 

Crime Index total' 

Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, 

possessing 

Vandalism 

Weapons; carrying, possessing, etc. 

PitKtitution and commercialized vice 
Sex oflenses (except forcible rape and 

prostitution) 

Drag abuse violations 

Gambling 

Oftenses against family and children 
Driving under the influence 

Liquor laws 

Drankenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) 

Suspicion (not included in totals) 

Curfew and loitering law violations . . 
Runaways 



I,137,82S 



1,708 

3,861 

8,536 

37,210 

41,497 

78212 

19,426 

1,858 



51,315 
140,993 



192,308 



71,305 
6,816 

27,085 
1,068 

14,418 
23,983 
19,001 

1,414 

11,073 

105,561 

1,432 

14,372 
256,166 

39,967 

57,473 

28,011 

1,244 

256,495 

406 

1,097 

7,536 



1,177,633 



+3.5 



128,902 



133,984 



+3.9 



239,578 



249,052 



+4.0 



35,988 



38,137 



1,997 

4,194 

8,986 

41,309 

39,325 

79,327 

18,789 

2,033 



+ 16.9 
+8.6 
+5.3 

+ 11.0 
-5.2 
+ 1.4 
-3.3 
+9.4 



147 

592 

1,499 

4,128 

14,011 

22,623 

6,963 

820 



193 

598 

1,778 

4,867 

13,616 

23,521 

7,244 

887 



+31.3 
+ 1.0 
+ 18.6 
+ 17.9 
-2.8 
+4.0 
+4.0 
+8.2 



254 

50 

754 

4,733 

3,771 

33,790 

2,224 

262 



248 

47 

793 

5,444 

3,389 

36,036 

2,185 

231 



-2.4 

-6.0 

+5.2 

+15.0 

-10.1 

+6.6 

-1.8 

-11.8 



13 

13 

138 

592 

1,187 

7,515 

860 



12 

21 

146 

771 

1,052 

8,154 

1,013 

76 



56,486 
139,474 



+ 10.1 
-1.1 



6,366 
44,417 



7,436 
45,268 



+ 16.8 
+ 1.9 



5,791 
40,047 



6,532 
41,841 



+ 12.8 
+4.5 



756 
9,650 



950 
10,295 



195,960 



+1.9 



50,783 



52,704 



+3.8 



45,838 



48,373 



+5.5 



10,406 



11,245 



79,574 
6,464 

27,720 
1,115 

13,928 
25,224 
19,012 

1,862 

11,431 

88,859 

1,460 

1 7,864 

275,242 

46.538 

63,371 

29,055 

1,333 

262,313 

513 

1,274 

8,034 



+ 11.6 
-5.2 
+2.3 
+4.4 

-3.4 

+5.2 
+.1 

+31.7 

+3.2 
-15.8 

+2.0 
+24.3 

+7.4 

+ 16.4 
+ 10.3 

+3.7 
+7.2 
+2.3 
+26.4 
+ 16.1 
+6.6 



8,246 

392 

444 

69 

3,054 
10,214 
2,649 

19 

1,887 

7,080 

47 

146 

2,223 

8,411 

1,291 

4,293 

265 

18,756 

40 

1,097 

7,536 



9,151 

412 

454 

77 

3,239 
10,549 
2,695 

52 

1,897 

5,269 

43 

180 

2,327 

9,558 

1.398 

4,790 

244 

19,637 

66 

1,274 

8,034 



+ 11.0 
+5.1 
+2.3 

+ 11.6 

+6.1 
+3.3 
+ 1.7 

+ 173.7 

+.5 
-25.6 

-8.5 
+23.3 

+4.7 

+ 13.6 
+8.3 

+ 11.6 
-7.9 
+4.7 

+65.0 

+ 16.1 
+6.6 



13,542 

3,410 

26,960 

779 

1,849 
2,709 
1,455 

2,513 

623 
22,447 

361 

1,381 

32,443 

9,961 

6,466 

6,072 

305 

51,386 

82 

418 

8,660 



15,770 

3,515 

28,160 

638 

1,793 
2,891 
1,494 

2,466 

623 
18,850 

337 

1,706 

36,205 

10,794 

7,246 

6,541 

227 

51,999 

101 

459 

8,965 



+ 16.5 
+3.1 
+4.5 

-18.1 

-3.0 

+6.7 
+2.7 

-1.9 



-16.0 
-6.6 

+23.5 
+ 11.6 

+8.4 
+ 12.1 

+7.7 
-25.6 

+ 1.2 
+23.2 

+9.8 

+3.5 



2,290 

148 

253 

45 

309 
863 

142 

48 

134 

1,199 

9 

51 
343 

3,565 

262 

1,218 

47 

5,578 

18 

418 

8.660 



2,612 

237 

217 

33 

357 
916 
153 

49 

150 

831 

11 

64 

357 

3,871 

269 

1,412 

57 

5,872 

12 

459 

8,965 



+6.0 



-7.7 
+61.5 

+5.8 
+30.2 
-11.4 

+8.5 
+ 17.8 
-13.6 



+25.7 
+6.7 



+8.1 



+ 14.1 
+60.1 
-14.2 
-26.7 

+ 15.5 
+6.1 

+7.7 

+2.1 

+ 11.9 
-30.7 

+22.2 

+25.5 

+4.1 

+8.6 

+2.7 

+15.9 

+21.3 

+5.3 

-33.3 

+9.8 

+3.5 



'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. 



205 



Table 47. — Suburban County Arrests, Distribution by Age, 1990 

(926 agencies; 1990 population 37,953,000) 



OfTense charged 



Total 
all 
ages 



Ages 

under 

15 



Ages 

under 

18 



Ages 

18 and 

over 



Age 



Under 
10 



10-12 



13-14 



15 



16 



17 



18 



19 



20 



TOTAL 

Percent distribution' 

Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 

Violent crime' 

Percent distribution' 

Property crime^ 

Percent distribution' 

Crime Index total' 

Percent distribution' 

Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property: buying, receiving, 

possessing 

Vandalism 

Weapons; carrying, possessing, etc 

Prostitution and commercialized vice . 
Sex ofTenses (except forcible rape and 

prostitution) 

Drug abuse violations 

Gambling 

Offenses against family and children .. 
Driving under the influence 

Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) 

Suspicion 

Curfew and loitering law violations ... 
Runaways 



l,«77>t« 
100.0 



2,692 

5,006 

13,365 

58,501 

53,241 

139,481 

24.877 

2,543 



79,564 

100.0 

220,142 

100.0 



299,706 
100.0 



107,313 

11,280 

60,952 

2,353 

17,943 
30,752 
23,492 

6,683 

14,133 

127,690 

2,107 

20,485 
335,284 

61,740 

73,238 

37,082 

1,567 

423,244 

670 

1,773 

18,454 



61,369 

3.7 



197,257 
11.8 



1,480,689 
88.2 



4,200 
J 



13,936 



43,233 
2.6 



36,012 
2.1 



45,289 

2.7 



54387 
3J 



71,867 
4J 



78,644 

4.7 



30 

267 

569 

2,118 

6,641 

14,401 

2,570 

699 



276 

737 

2,571 

7,043 

17,744 

36,779 

9,619 

1,057 



2,416 

4,269 

10,794 

51,458 

35,497 

102,702 

15,258 

1,486 



10 
176 
494 
907 

26 
168 



3 

64 

99 

556 

1,699 

3,820 

265 

233 



25 

195 

460 

1,386 

4,448 

9,674 

2,279 

298 



41 

127 

490 

1,236 

3,303 

6,568 

2,219 

121 



68 

158 

691 

1,649 

3,614 

7,511 

2,529 

104 



137 

185 

821 

2,040 

4,186 

8,299 

2,301 

133 



150 
239 
1,000 
2,242 
4,361 
8.298 
1,956 
100 



138 

216 

977 

2,356 

3,750 

7,277 

1,698 

76 



2,984 

3.8 

24,311 

11.0 



10,627 
13.4 

65,199 
29.6 



68,937 

86.6 

154,943 

70.4 



196 

.2 

1,595 

.7 



722 

.9 

6,017 

2.7 



2,066 

2.6 

16,699 

7.6 



1,894 

2.4 

12,211 

5.5 



2,566 

3.2 

13,758 

6.2 



3,183 

4.0 

14,919 

6.8 



3,631 

4.6 

14,715 

6.7 



3,687 

4.6 

12,801 

5.8 



27,295 
9.1 



75,826 

25.3 



223,880 

74.7 



1,791 
.6 



6,739 

2.2 



18,765 
6.3 



14,105 

4.7 



16,324 
5.4 



18,102 
6.0 



18,346 
6.1 



16,488 

5.5 



4,966 
84 
103 
29 

934 

5,521 

825 

10 

1,183 

828 

9 

55 
52 

944 

208 

2,128 

55 

8,172 

33 

532 

7,403 



13,420 
699 
778 
155 

3,948 

12,549 

3,188 

113 

2,310 

7,194 

60 

265 

2,835 

14,190 

1,716 

6,492 

302 

30,890 

95 

1,778 

18,454 



93,893 

10,581 

60,174 

2,198 

13,995 
18,203 
20,304 

6,570 

11,823 

120,496 

2,047 

20,220 
332,449 

47,550 

71,522 

30,590 

1,265 

392,354 

575 



437 
5 

12 
1 

23 

787 

39 



110 

33 



15 
10 

32 

17 

195 

4 

520 

3 

9 

157 



1,275 
15 
12 



144 

1,608 

162 

1 

309 

92 

1 

12 

6 

62 

22 

538 

7 

1,641 

11 

87 

1,184 



3,254 
64 
79 
20 

767 

3,126 

624 



764 

703 

8 

28 
36 

850 

169 

1,395 

44 

6,011 

19 

436 

6,062 



2,302 

108 

92 

12 

793 

2,086 

591 

26 

429 

1,142 

8 

44 

91 

1,775 

235 

1,172 

49 

5,685 

7 

341 

4,919 



2,935 
167 
167 
35 

1,052 
2,381 

761 

29 

329 

1,942 

10 

73 
650 

4,094 

391 

1,434 

77 

7,561 

25 

533 

4,319 



3,217 

340 

416 

79 

1,169 
2.561 
1,011 

48 

369 

3,282 

33 

93 

2,042 

7,377 
882 

1,758 
121 

9,472 

30 

372 

1,813 



3,681 
517 

1,061 
105 

1,387 
2,246 
1,441 

121 

437 

5,208 

66 

288 
6,552 

10,581 

2,419 

1,916 

131 

15,319 

45 



3,825 
662 

1,794 
117 

1,330 
1.771 
1,380 

208 

408 

6,245 

41 

328 
8,796 

10,804 

2,531 

1,973 

90 

19,824 

29 



75,443 
4S 



130 

181 

796 

2.291 

2,887 

6,024 

1,245 

69 



3,398 

4.3 

10,225 

4.6 



13,623 
4.5 



3,914 
646 

2,353 
132 

1,048 
1,344 
1,211 

205 

419 

6,368 

30 

434 

10,455 

8,368 
2,703 
1,847 

67 
20,251 

25 



See footnotes at end of table. 



206 



Table 47. — Suburban County Arrests, Distributioa by Age, 1990 — Continued 



OtTense 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 

Percenl lUslribiitioni 

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 
Sei ofTenses (except forcible rape and 

prostitution) 

Drug abuse violations 

Gambling 

Offenses against family and children . 
Driving under the influence 

Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) .... 

Suspicion 

Curfew and loitering law violations . . . 
Runaways 



70,321 
4.2 



141 

210 
793 
2,264 
2,206 
4,922 
1,065 
83 



3,408 
4.3 

8,276 
3.8 



11,684 
3.9 



3,934 
534 

2,514 
103 

822 
1,132 
1.134 

247 

375 

6,138 

27 

617 

13,852 

2,048 
3,232 
1,743 

80 
20,080 

25 



67,277 
4.0 



66,889 
4.0 



66,941 
4.0 



324,847 
19.4 



258.584 
15.4 



170,145 
10.1 



100,906 
6.0 



S7,011 
3.4 



31,238 
1.9 



18339 
1.1 



1M92 

.7 



123 

193 

644 

2,215 

1,902 

4,515 

870 

71 



126 

180 

621 

2.194 

1,821 

4,225 

793 

61 



107 

194 

614 

2,194 

1.642 

3,918 

765 

60 



455 
886 
2,371 
11,356 
6,993 
19,764 
2,931 
304 



y.6 

735 
1,557 
9,596 
4,937 
16,026 
1,776 

241 



263 

511 

798 

6,207 

2.689 

11,433 

1,045 

170 



185 

313 

339 

3,605 

1,235 

6,653 

602 

III 



100 

162 

155 
2,143 

558 
3,641 

274 
64 



55 

97 

78 

1,236 

244 

2,129 

117 

32 



43 
81 
29 
692 
142 
1,480 
57 
22 



23 
33 
11 
445 
73 
1,063 
30 
15 



3,175 
4.0 

7,358 
3.3 



3,121 

3.9 

6,900 

3.1 



3,109 
3.9 

6,385 
2.9 



15,068 
18.9 

29,992 
13.6 



12,234 
15.4 

22,980 
10.4 



7,779 

9.8 

15,337 

7.0 



4,442 
5.6 

8.601 
3.9 



2,560 
3.2 

4,537 
2.1 



1,466 
1.8 

2,522 
1.1 



845 
1.1 

1,701 



512 

.6 

1,181 

.5 



10,533 

3.5 



10,021 
3.3 



9,494 
3.2 



45,060 
15.0 



35,214 
11.7 



23,116 

7.7 



13,043 
4.4 



7,097 
2.4 



3,988 
1.3 



2,546 



1,693 
.6 



4,008 

466 

2,655 

92 

726 

917 

1,010 

255 

407 

5,931 

27 

656 

14,099 

1,518 
2,985 
1,524 

55 
19,390 

23 



4,100 

544 

2,794 

90 

700 

829 

1,018 

289 

370 

5,901 

36 

739 

14,704 

1,244 
3,028 
1,479 

55 
18,918 

30 



4,521 

436 

2,916 

93 

665 
796 
932 

307 

421 

6,065 

46 

880 

14,858 

1,032 
2,957 
1,422 

51 
19,024 

25 



21,667 

2,367 

13,764 

486 

2,748 
3,551 
4,038 

1,842 

2,173 

29,735 

189 

4,497 
75,763 

4,454 

14,979 

6,412 

242 

90.759 

121 



17,614 

1,850 

11,614 

379 

1,972 
2,459 
3,023 

1,395 

1,998 

22,987 

259 

4,546 
61,847 

2,910 

12,983 

4,815 

190 

70,426 

103 



11.488 

1,265 

8,328 

228 

1,279 
1,403 
2.028 

802 

1,595 

13,830 

236 

3,387 
42,358 

1,887 

9,070 

3,132 

118 

44,529 

66 



6.759 
671 

5,096 
183 

637 

833 

1,245 

397 

1,119 

6,838 

250 

2,000 

27,797 

1,104 
5,885 
1,808 

63 
25,140 

38 



3,715 

314 

2,623 

85 

349 
387 
764 

224 

686 

2,873 

241 

1,045 

17,330 

704 

3,669 

1,155 

52 

13,674 

24 



2,079 

146 

1,301 

49 

151 
211 
432 

112 

481 

1,248 

203 

451 

10,406 

375 

2,100 

559 

16 

6,917 

13 



1,175 

101 

686 

19 

79 
144 
301 

67 

361 
566 
171 
195 
6,263 

231 

1.348 

323 

18 

3.743 

2 



717 
29 

387 
16 

57 
94 
189 



251 

324 

123 

88 

3,978 

139 

877 

221 

17 

2.149 

2 



10,845 
.6 



31 

38 

II 

422 

57 

1,334 

34 

7 



502 

.6 

1,432 

.7 



1,934 
.6 



696 
33 

288 
21 

45 
86 
158 

58 

322 

239 

102 

69 

3,391 

151 

756 

261 

20 

2,211 

4 



'Because of rounding, the percentages may not add to total. 

Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 
'Properly cnmes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 
'Includes arson. 



207 



Table 48.— Suburban County Arrests of Persons under 15, 18, 21, and 25 Years of Age, 1990 

[926 agencies; 1990 population 37,953,000] 



Offense charged 



Total all 
ages 



Number of persons arrested 



Under 15 Under 18 Under 21 



Under 25 



Percent of total all ages 



Under 
15 



Under 
18 



Under 

21 



Under 
25 



TOTAL 

Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 

Violent crime' 

Property crime^ 

Crime Index totaJ' 

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 ; 



1,677,946 



2,692 

5,006 

13,365 

58,501 

53,241 

139,481 

24,877 

2,543 



79,564 
220,142 



299,706 



107,313 
11,280 
60,952 
2,353 
17,943 
30,752 
23,492 

6,683 

14,133 

127,690 

2,107 

20,485 

335,284 

61,740 

73,238 

37,082 

1,567 

423,244 

670 

1,778 

18,454 



61369 



197,257 



423,211 



694,639 



3.7 



11.8 



30 

267 

569 

2,118 

6,641 

14,401 

2,570 

699 



276 

737 

2,571 

7,043 

17,744 

36,779 

9,619 

1,057 



694 

1,373 

5,344 

13,932 

28,742 

58,378 

14,518 

1,302 



1,191 

2,150 

8,016 

22,799 

36,313 

75,958 

18,011 

1,577 



1.1 

5.3 

4.3 

3.6 

12.5 

10.3 

10.3 

27.5 



10.3 
14.7 
19.2 
12.0 
33.3 
26.4 
38.7 
41.6 



2,984 
24,311 



10,627 
65,199 



21,343 
102,940 



34,156 
131,859 



3.8 
11.0 



13.4 
29.6 



27,295 



75,826 



124,283 



166,015 



9.1 



25.3 



4,966 

84 

103 

29 

934 

5,521 

825 

10 

1,183 

828 

9 

55 

52 

944 

208 

2,128 

55 

8,172 

33 

532 

7,403 



13,420 

699 

778 

155 

3,948 

12,549 

3,188 

113 

2,310 

7,194 

60 

265 
2,835 

14,190 

1,716 

6,492 

302 

30,890 

95 

1,778 

18,454 



24,840 

2,524 

5,986 

509 

7,713 

17,910 
7,220 

647 

3,574 

25,015 

197 

1,315 

28,638 

43,943 

9,369 

12,228 

590 

86,284 

194 

1,778 

18,454 



41,403 
4,504 
16,865 
887 
10,626 
21,584 
11,314 

1,745 
5,147 

49,050 

333 

4,207 

86,151 

49,785 

21,571 

18,396 

831 

163,696 

297 

1,778 

18,454 



4.6 
.7 
.2 

1.2 

5.2 
18.0 

3.5 

.1 
8.4 
.6 
.4 
.3 
(4) 

1.5 

.3 

5.7 

3.5 

1.9 

4.9 

29.9 

40.1 



12.5 

6.2 

1.3 

6.6 

22.0 

40.8 

13.6 

1.7 
16.3 
5.6 
2.8 
1.3 



23.0 

2.3 

17.5 

19.3 

7.3 

14.2 

100.0 

100.0 



25.2 



25.8 
27.4 
40.0 
23.8 
54.0 
41.9 
58.4 
51.2 



26.8 
46.8 



41.5 



23.1 
22.4 
9.8 
21.6 
43.0 
58.2 
30.7 

9.7 
25.3 
19.6 
9.3 
6.4 
8.5 

71.2 
12.8 
33.0 
37.7 
20.4 
29.0 
100.0 
100.0 



41.4 



44.2 
42.9 
60.0 
39.0 
68.2 
54.5 
72.4 
62.0 



42.9 
59.9 



55.4 



38.6 
39.9 
27.7 
37.7 
59.2 
70.2 
48.2 

26.1 
36.4 
38.4 
15.8 
20.5 
25.7 

80.6 
29.5 
49.6 
53.0 
38.7 
44.3 
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. 



208 



Table 49.— Suburbui Comity Arrests, Distribotioii by Sex, 1990 
(926 agencies; 1990 population 37,953,000] 



Oflense charged 



Number of persons arrested 



Total 



Male 



Female 



Percent 
male 



Percent 
female 



Percent distribution' 



Total 



Male 



Female 



TOTAL 

Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 

Violent crime' 

Property crime* 

Crime Index total' 

Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property, buying, receiving, possessing 

Vandalism 

Weapons; carrying, possessing, etc 

Prostitution and commercialized vice 

Sex offenses (except forcible rape and prostitution) 

Drug abuse violations 

Gambling 

Offenses against family and children 

Driving luder the influence 

Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except trafTic) 

Suspicion 

Curfew and loitering law violations 

Runaways 



1,677,9*) 



2,692 

5.006 

13,365 

58,501 

53,241 

139,481 

24,877 

2.543 



79,564 
220,142 



299,706 



107,313 
11,280 
60.952 
2,353 
17,943 
30,752 
23,492 

6,683 

14,133 

127,690 

2,107 

20,485 

335,284 

61,740 

73,238 

37,082 

1,567 

423,244 

670 

1,778 

18,454 



1387,634 



290312 



82.7 



17J 



100.0 



2,405 
4,949 
12,351 
51,359 
49,158 
96,456 
22,343 
2,271 



287 

57 

1,014 

7,142 

4,083 

43,025 

2,534 

272 



89.3 
98.9 
92.4 
87.8 
92.3 
69.2 
89.8 
89.3 



10.7 

1.1 

7.6 

12.2 

7.7 

30.8 

10.2 

10.7 



.2 

.3 

.8 

3.5 

3.2 

8.3 

1.5 

.2 



71,064 
170,228 



8,500 
49,914 



89.3 

77.3 



10.7 

22.7 



4.7 
13.1 



241,292 



58,414 



80.5 



19.5 



17.9 



89,993 
7,462 
30,815 
1,492 
15,855 
27,575 
21,750 

3,263 

13,335 

105,463 

1,713 

18,701 

295,792 

50,136 

65,717 

30,298 

1,338 

354,982 

562 

1,306 

8,794 



17,320 
3,818 

30,137 

861 

2,088 

3,177 

1,742 

3,420 

798 

22,227 

394 

1,784 

39,492 

11,604 

7,521 

6,784 

229 

68,262 

108 

472 

9,660 



83.9 
66.2 
50.6 
63.4 
88.4 
89.7 
92.6 

48.8 
94.4 
82.6 
81.3 
91.3 
88.2 

81.2 
89.7 
81.7 
85.4 
83.9 
83.9 
73.5 
47.7 



16.1 
33.8 
49.4 
36.6 
11.6 
10.3 
7.4 

51.2 
5.6 

17.4 

18.7 
8.7 

11.8 

18.8 
10.3 
18.3 
14.6 
16.1 
16.1 
26.5 
52.3 



6.4 
.7 
3.6 
.1 
1.1 
1.8 
1.4 

.4 
.8 

7.6 
.1 

1.2 
20.0 

3.7 
4.4 
2.2 

.1 

25.2 

(2) 

.1 
1.1 



100.0 



.2 

.4 

.9 

3.7 

3.5 

7.0 

1.6 

.2 



5.1 

12.3 



17.4 



6.5 
.5 
2.2 
.1 
1.1 
2.0 
1.6 

.2 
1.0 
7.6 

.1 

1.3 

21.3 

3.6 

4.7 

2.2 

.1 

25.6 

(2) 

.1 

.6 



100.0 



(2) 

.3 

2.5 

1.4 

14.8 

.9 

.1 



2.9 
17.2 



20.1 



6.0 

1.3 

10.4 

.3 

.7 

1.1 

.6 

1.2 
.3 

7.7 

.1 

.6 

13.6 

4.0 
2.6 
2.3 

.1 

23.5 

(2) 

.2 
3.3 



'Because of rounding, the percentages may not add to total. 

Hjcss than one-tenth of I percent. 

'Violent cnmes 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. 



209 



Table 50. — Suburban County Arrests, Distribution by Race, 1990 

[878 agencies; 1990 population 37,704,000] 



Offense charged 



Total arrests 



Total 



White 



Black 



American 
Indian 



Alaskan 
Native 



Asian 

or 
Pacific 
Islander 



Percent distribution' 



Total 



White 



Black 



American 
Indian 



Alaskan 
Native 



Asian 



Pacific 
Islander 



TOTAL 

Murder and nonnegligent manslaughter 

Forcible rape 

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 



1,628,760 



2,647 

4,928 

13,235 

57,026 

51,813 

133,555 

24,658 

2,482 



77,836 
212,508 



290,344 



105,032 

10,447 

57,236 

2,253 

16,781 
29,162 
22,726 

6,669 

13,499 

122,389 

2,033 

19,994 

324,734 

60,140 

73.000 

35,805 

1,545 

414,810 

669 

1,773 

17,719 



1,255,745 



359,518 



6,755 



6,742 



100.0 



77.1 



22.1 



1,726 

3,474 

5,969 

40,807 

40,066 

93,435 

16,894 

2,049 



883 

1,410 

7,159 

15,670 

11,316 

38,537 

7,524 

408 



14 

22 
47 
322 
190 
555 
106 
12 



24 

22 

60 

227 

241 

1,028 

134 

13 



100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



65.2 
70.5 
45.1 
71.6 
77.3 
70.0 
68.5 
82.6 



33.4 
28.6 
54.1 
27.5 
21.8 
28.9 
30.5 
16.4 



51,976 
152,444 



25,122 
57,785 



405 
863 



333 
1,416 



100.0 
100.0 



66.8 

71.7 



32.3 
27.2 



204,420 



82,907 



1,268 



1,749 



100.0 



70.4 



28.6 



78,976 
7,532 

39,055 
1,451 

11,694 
24,893 
16,026 

4,995 

11,752 

84,481 

1,482 

12,636 

300,672 

53,804 

64,151 

28,378 

1,216 

290,228 

582 

1,582 

15,739 



25,074 
2,824 
17,928 

777 

4,930 
4,044 
6,501 

1,603 

1,631 

37,348 

538 

7,261 

21,146 

5,758 

8,020 

7,050 

315 

121,822 

85 

167 

1,789 



531 
49 
139 

2 

74 
100 

73 

32 

67 

292 

1 

61 

1,112 

404 

571 

266 

6 

1,591 

I 

5 

110 



451 


100.0 


42 


100.0 


114 


100.0 


23 


100.0 


83 


100.0 


125 


100.0 


126 


100.0 



39 

49 

268 

12 

36 

1,804 

174 

258 

111 

8 

1,169 

1 

19 

81 



100.0 

100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



75.2 
72.1 
68.2 
64.4 

69.7 
85.4 
70.5 

74.9 

87.1 
69.0 
72.9 
63.2 
92.6 

89.5 
87.9 
79.3 
78.7 
70.0 
87.0 
89.2 
88.8 



23.9 
27.0 
31.3 
34.5 

29.4 
13.9 
28.6 

24.0 

12.1 
30.5 
26.5 
36.3 
6.5 

9.6 
11.0 
19.7 
20.4 
29.4 
12.7 

9.4 
10.1 



.5 
.2 
(5) 
.3 
.3 

.7 
.8 
.7 
.4 
.4 
.1 
.3 
.6 



.4 

.4 

.2 

I.O 

.5 
.4 
.6 



.4 
.2 
.6 
.2 
.6 

.3 
.4 
.3 
.5 
.3 
.1 
I.I 
.5 



See footnotes at end of table. 



210 



Table SO.— Suburban County Arrests, Distribution by Race, 1990 — Continued 



Offense charged 



Arrests under 18 



Total 



White 



Black 



American 

Indian 

or 

Alaskan 
Native 



Asian 

or 
Pacific 
Islander 



Percent distribution' 



Total 



White 



Black 



American 

Indian 

or 

Alaskan 
Native 



Asian 



Pacific 
Islander 



TOTAL 

Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 

Aggravated 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 



189,800 



272 

731 

2,549 

6,775 

17,101 

34,846 

9,525 

1,029 



10,327 
62,501 



72,828 



13,147 
652 
706 
146 

3,614 

11,962 

3,110 

113 

2,159 

6,917 

60 

218 

2,770 

13,793 

1,704 

6,212 

302 

29,801 

94 

1,773 

17,719 



148,443 



39,132 



848 



M77 



100.0 



78.2 



20.6 



142 

517 

1,006 

4,296 

14,007 

26,030 

6.480 

889 



126 
210 
1,519 
2,382 
2,894 
8,214 
2,925 
125 



I 

2 

12 

38 

65 

163 

48 

5 



5,961 
47,406 



4,237 
14,158 



53 
281 



3 


100.0 


2 


100.0 


12 


100.0 


59 


100.0 


135 


100.0 


439 


100.0 


72 


100.0 


10 


100.0 


76 


100.0 


656 


100.0 



52.2 
70.7 
39.5 
63.4 
81.9 
74.7 
68.0 
86.4 



46.3 
28.7 
59.6 
35.2 
16.9 
23.6 
30.7 
12.1 



57.7 
75.8 



41.0 

22.7 



53,367 



18,395 



334 



732 



100.0 



73.3 



25.3 



9,345 

527 

536 

82 

2,390 
10,514 
2,187 

91 

1,778 

4,291 

30 

185 

2,677 

13,291 

1,548 

4,704 

251 

23,249 

79 

1,582 

15,739 



3,662 
117 
164 
63 

1,167 

1,340 

876 

20 

362 

2,597 

30 

31 

80 

374 

135 

1,442 

45 

6,261 

15 

167 

1,789 



47 
2 
1 



93 
6 
5 
1 

38 
69 
28 



2 
7 

89 
14 

42 

2 

84 



39 

7 

24 

4 

207 



5 
110 



19 
81 



100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 

100.0 

100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



71.1 
80.8 
75.9 
56.2 

66.1 
87.9 
70.3 

80.5 

82.4 
62.0 
50.0 
84.9 
96.6 

96.4 
90.8 
75.7 
83.1 
78.0 
84.0 
89.2 
88.8 



27.9 
17.9 
23.2 
43.2 

32.3 
11.2 
28.2 

17.7 

16.8 
37.5 
50.0 
14.2 
2.9 

2.7 
7.9 
23.2 
14.9 
21.0 
16.0 
9.4 
10.1 



.5 
.3 
.6 

1.8 

.6 
.3 



1.1 
.3 
.5 
.9 
.8 

1.3 
.8 

1.0 



.7 
1.0 



1.0 



.7 
.9 
.7 
.7 

I.I 
.6 
.9 



.3 
.4 
.4 
1.3 
.7 



I.l 
.5 



See footnotes al end of table. 



211 



Table 50. — Suburban County Arrests, Distribution by Race, 1990 — Continued 



OfTense charged 



Arrests 18 and over 



Tola] 



White 



Black 



American 

Indian 

or 

Alaskan 
Native 



Asian 



Pacific 
Islander 



Percent distribution' 



Total 



White 



Black 



American 

Indian 

or 

Alaskan 
Native 



Asian 

or 
Paciflc 
Islander 



TOTAL 



Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 



Violent crime^ . 
Property crime' 



Crime Index total* 



Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, 

possessing 

Vandalism 

Weapons; carrying, possessing, etc. 



Prostitution and commercialized vice . 
Sex ofTenses (except forcible rape and 

prostitution) 

Drug abuse violations 

Gambling 

Oftenses against family and children . 
Driving under the influence 



Liquor laws 

Drunkenness 

Disorderiy conduct 

Vagrancy 

All other offenses (except traffic) .. 

Suspicion 

Curfew and loitering law violations 
Runaways 



1,438,960 



2,375 
4,197 
10,686 
50,251 
34,712 
98,709 
15,133 
1,453 



67,509 
150,007 



217,516 



91,885 
9,795 

56,530 
2,107 

13,167 
17,200 
19,616 

6,556 

11,340 

115,472 

1,973 

19,776 
321,964 

46,347 

71,296 

29,593 

1,243 

385,009 

575 



,107,302 



320386 



5,907 



5J6S 



100.0 



77.0 



22J 



1,584 

2,957 

4,963 

36,511 

26,059 

67,405 

10,414 

1,160 



757 

1,200 

5,640 

13,288 

8,422 

30,323 

4,599 

283 



13 

20 

35 

284 

125 

392 

58 

7 



46,015 
105,038 



20,885 
43,627 



352 

582 



21 


100.0 


20 


100.0 


48 


100.0 


168 


100.0 


106 


100.0 


589 


100.0 


62 


100.0 


3 


100.0 


257 


100.0 


760 


100.0 



66.7 
70.5 
46.4 
72.7 
75.1 
68.3 
68.8 
79.8 



31.9 
28.6 
52.8 
26.4 
24.3 
30.7 
30.4 
19.5 



68.2 
70.0 



30.9 
29.1 



151,053 



64,512 



934 



1,017 



100.0 



69.4 



29.7 



69,631 
7,005 

38,519 
1,369 

9,304 
14,379 
13,839 

4,904 

9,974 

80,190 

1,452 

12,451 

297,995 

40,513 
62,603 
23,674 

965 
266,979 

503 



21,412 

2,707 

17,764 

714 

3,763 
2,704 
5,625 

1,583 

1,269 

34,751 

508 

7,230 
21,066 

5,384 

7,885 

5,608 

270 

115,561 

70 



484 

47 

138 

2 

55 
61 
54 

30 

55 

274 

1 

59 

1,105 

315 

557 

224 

4 

1,507 

I 



358 


100.0 


36 


100.0 


109 


100.0 


22 


100.0 


45 


100.0 


56 


100.0 


98 


100.0 



39 

42 

257 

12 

36 

1,798 

135 

251 

87 

4 

962 

1 



100.0 

100.0 
100.0 
100.0 
100.0 
100.0 

100,0 
100.0 
100.0 
100.0 
100.0 
100.0 



75.8 
71.5 
68.1 
65.0 

70.7 
83.6 
70.5 

74.8 

88.0 
69.4 
73.6 
63.0 
92.6 

87.4 
87.8 
80.0 
77.6 
69.3 
87.5 



23.3 
27.6 
31.4 
33.9 

28.6 
15.7 
28.7 

24.1 

11.2 
30.1 
25.7 
36.6 
6.5 

11.6 
11.1 
19.0 

21.7 
30.0 
12.2 



.4 
.4 
.2 
1.0 

.3 
.3 
.5 



'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. 

'Less than one-tenth of 1 percent. 



212 



T«ble 51.— Rural County Arrest Trends, 1989-1990 

[I.8S4 agencies; 1990 population 20,119,000) 



Offense charged 



Number of persons arrested 



Total all ages 



1989 



1990 



Percent 
change 



Under 1 8 years of age 



1989 



1990 



Percent 
change 



18 years of age and over 



1989 



1990 



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 



703,170 



1,087 

2,164 

1,785 

19,818 

27,900 

38,849 

7,583 

1,102 



24,854 
75,434 



100,288 



45,056 

6,269 

39,103 

753 

5,394 
15,611 
8,007 

140 

5,913 

50,979 

626 

6,125 

153,581 

40,628 

42,527 

24,654 

272 

147,743 

447 

1,140 

8,361 



742,546 



+5.6 



73,120 



76,5«7 



630,050 



665,979 



1,192 

2,297 

1,670 

22,138 

26,639 

40,529 

7,701 

1,346 



+9.7 
+6.1 
-6.4 

+ 11.7 
-4.5 
+4.3 
+ 1.6 

+22.1 



63 

263 

174 

1,337 

9,104 

9,465 

2.828 

285 



67 

288 

159 

1,584 

8,665 

9,826 

2,939 

338 



+6.3 
+9.5 
-8.6 

+ 18.5 
-4.8 
+3.8 
+3.9 

+ 18.6 



1,024 

1.901 

1,611 

18,481 

18,796 

29,384 

4,755 

817 



1,125 

2,009 

1,511 

20,554 

17,974 

30,703 

4,762 

1,008 



27,297 
76,215 



+9.8 
+ 1.0 



1,837 
21,682 



2,098 
21,768 



+14.2 

+.4 



23,017 

53,752 



25,199 

54,447 



103,512 



+3.2 



23,519 



23,866 



+ 1.5 



76,769 



79,646 



50,401 

5,947 

40,485 

811 

5,625 
16,951 
8,041 

227 

6,696 

43,233 

505 

6,622 

165,580 

46,625 

46,453 

26,511 

326 

157,858 

630 

1,148 

8,989 



+ 11.9 
-5.1 

+3.5 
+7.7 

+4.3 

+8.6 

+.4 

+62.1 

+ 13.2 
-15.2 
-19.3 

+8.1 
+7.8 

+ 14.8 
+9.2 
+7.5 

+ 19.9 
+6.8 

+40.9 

+.7 

+7.5 



3,471 
424 
393 

17 

826 

5,640 

649 



930 

2,347 

19 

136 
2,025 

10,358 

912 

2,466 

64 

9,417 

119 

1,140 

8,361 



4,025 

424 

449 

17 

903 

5,961 

667 



986 

1,903 

5 

141 
2,011 

11,409 

956 

2,484 

54 

10,161 

262 

1,148 

8,989 



+ 16.0 
+ 14.2 



+9.3 

+5.7 
+2.8 

+33.3 

+6.0 
-18.9 

-73.7 

+3.7 

-.7 

+ 10.1 

+4.8 

+.7 

-15.6 

+7.9 

+ 120.2 

+.7 

+7.5 



41,585 

5,845 

38,710 

736 

4,568 
9,971 
7,358 

134 

4,983 

48,632 

607 

5,989 

151,556 

30,270 
41.615 
22,188 

208 
138,326 

328 



46,376 

5,523 

40,036 

794 

4,722 

10,990 

7,374 

219 

5,710 

41,330 

500 

6,481 

163,569 

35,216 
45,497 
24,027 

272 
147,697 

368 



+5.7 



+9.9 
+5.7 
-6.2 

+11.2 

-4.4 

+4.5 

+.1 

+23.4 



+9.5 
+1.3 



+3.7 



+ 11.5 
-5.5 

+3.4 
+7.9 

+3.4 
+10.2 

+.2 

+63.4 

+ 14.6 

-15.0 

-17.6 

+8.2 

+7.9 

+ 16.3 
+9.3 
+8.3 

+30.8 
+6.8 

+12.2 



'Violent crimes arc offenses of murder, forcible rape, robbery, and aggravated assault. 
'Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 
Includes arson. 



213 



Table 52.— Rural County Arrest Trends, Sex, 1989-1990 

[1,854 agencies; 1990 population 20,119,000] 



Offense charged 



Males 



Total 



1989 



1990 



Percent 
change 



Under 18 



1989 



1990 



Percent 
change 



Females 



Total 



1989 1990 



Percent 
change 



Under 18 



1989 



1990 



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 



587,667 



933 

2,114 

1,634 

17,516 

25,844 

30,671 

6,737 

971 



22,197 
64,223 



86,420 



38,342 

4,158 

20,393 

489 

4,750 

13,971 

7,539 

59 

5,650 

42,506 

542 

5,397 

136,851 

32,593 

38,598 

20,503 

233 

124,000 

359 

802 

3,871 



618,706 



+5.3 



56,945 



59,294 



115,503 



123,840 



+7.2 



16,175 



17,273 



1,006 

2,260 

1,520 

19,656 

24,547 

31,676 

6,888 

1,177 



+7.8 
+6.9 
-7.0 

+ 12.2 
-5.0 
+3.3 
+2.2 

+21.2 



56 

251 

158 

1,135 

8,406 

7.687 

2,456 

257 



60 

281 

150 

1,365 

8,017 

7,981 

2,524 

308 



+7.1 

+ 12.0 

-5.1 

+20.3 

-4.6 

+3.8 

+2.8 

+ 19.8 



154 
50 

151 
2,302 
2,056 
8,178 

846 

131 



186 
37 

150 
2.482 
2,092 
8,853 

813 

169 



+20.8 

-26.0 

-.7 

+7.8 

+ 1.8 

+8.3 

-3.9 

+29.0 



7 

12 

16 

202 

698 

1,778 

372 

28 



7 

7 

9 

219 

648 

1,845 

415 

30 



24,442 
64,288 



+ 10.1 
+.1 



1,600 
18,806 



1,856 
18,830 



+ 16.0 

+.1 



2,657 
11,211 



2,855 
11,927 



+7.5 
+6.4 



237 
2,876 



242 
2,938 



88,730 



+2.7 



20,406 



20,686 



+ 1.4 



13,868 



14,782 



+6.6 



3,113 



3,180 



42,677 

3,923 

21,022 

475 

4,962 
15,126 

7,582 

131 

6,455 

36,171 

427 

5,790 

146,315 

37,273 

41,940 

22,152 

276 

132,321 

524 

738 

4,220 



+ 11.3 
-5.7 
+3.1 
-2.9 

+4.5 

+8.3 

+.6 

+ 122.0 

+ 14.2 

-14.9 

-21.2 

+7.3 

+6.9 

+ 14.4 
+8.7 
+8.0 

+ 18.5 
+6.7 

+46.0 
-8.0 
+9.0 



2,704 

303 

234 

13 

742 

5,110 

626 



864 

1,949 

17 

106 
1,766 

7,275 

760 

1,929 

53 

7,409 

93 

802 

3,871 



3,124 

314 

238 

9 

797 

5,427 

634 



932 

1,583 

5 

113 
1,739 

7,933 
801 

1,960 
39 

7,996 
203 
738 

4,220 



+ 15.5 
+3.6 
+ 1.7 

-30.8 

+7.4 
+6.2 
+ 1.3 



+7.9 

-18.8 

-70.6 

+6.6 

-1.5 

+9.0 
+5.4 
+ 1.6 
-26.4 
+7.9 
+ 118.3 
-8.0 
+9.0 



6,714 

2,111 

18,710 

264 

644 

1,640 

468 

81 

263 

8,473 

84 

728 

16,730 

8,035 

3,929 

4,151 

39 

23,743 

88 

338 

4,490 



7,724 

2,024 

19,463 

336 

663 

1,825 

459 

96 

241 

7,062 

78 

832 

19,265 

9,352 

4,513 

4,359 

50 

25,537 

106 

410 

4,769 



+ 15.0 
-4.1 
+4.0 

+27.3 

+3.0 

+ 11.3 

-1.9 

+ 18.5 

-8.4 
-16.7 

-7.1 
+ 14.3 
+ 15.2 

+ 16.4 
+ 14.9 

+5.0 
+28.2 

+7.6 
+20.5 
+21.3 

+6.2 



767 

121 

159 

4 

84 

530 

23 



66 

398 

2 

30 
259 

3,083 

152 

537 

11 

2,008 

26 

338 

4,490 



901 

110 

211 

8 

106 

534 

33 



54 
320 



28 

272 

3,476 

155 

524 

15 

2,165 

59 

410 

4,769 



+6,8 



-41.7 
-43.8 
+8.4 
-7.2 
+3.8 
+11.6 
+7.1 



+2.1 
+2.2 



+2.2 



+ 17.5 

-9.1 

+32.7 

+ 100.0 

+26.2 

+.8 

+43.5 



-18.2 
-19.6 

-6.7 
+5.0 

+ 12.7 
+2.0 
-2.4 

+36.4 

+7.8 

+ 126.9 

+21.3 
+6.2 



'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. 



214 



Table 53.— Rural County Arrests, Distribution by Age, 1990 

(2,154 agencies; 1990 population 23,306,000] 



OfTense charged 



Total 


Ages 


Ages 


Ages 










Age 










all 


under 


under 


18 and 


Under 
10 


















ages 


15 


18 


over 


10-12 


13-14 


15 


16 


17 


18 


19 


20 


848,248 


23,068 


85,854 


762,394 


1,711 


5,363 


15,994 


14.520 


20,765 


27,501 


39,990 


43,184 


40,459 


100.0 


2.7 


10.1 


89.9 


.2 


.6 


1.9 


1.7 


2.4 


3.2 


4.7 


5.1 


4.8 


1,457 


16 


87 


1,370 




1 


15 


1 1 


22 


38 






58 


2,714 


98 


328 


2,386 




21 


77 


68 


79 


83 




126 


2,037 


34 


192 


1,845 




7 


27 


25 


56 


77 


155 


135 


129 


25,894 


474 


1,884 


24,010 


27 


126 


321 


278 


448 


684 


980 


1,087 


1,061 


30,465 


3,055 


9,683 


20,782 


290 


792 


1,973 


1,620 


2,219 


2,789 


3,268 


2,610 


2,006 


46,056 


3,714 


10,821 


35,235 


323 


1,001 


2,390 


1,828 


2,410 


2,869 


3,554 


3,106 


2,384 


8,547 


823 


3,219 


5,328 


15 


110 


698 


794 


814 


788 


701 


578 


437 


1,496 


186 


353 


1,143 


41 


63 


82 


61 


41 


65 


73 


76 


61 


32,102 


622 


2,491 


29,611 


27 


155 


440 


382 


605 


882 


1,302 


1,413 


1,358 


100.0 


1.9 


7.8 


92.2 


.1 


.5 


1.4 


1.2 


1.9 


2.7 


4.1 


4.4 


4.2 


86,564 


7,778 


24,076 


62,488 


669 


1,966 


5,143 


4,303 


5,484 


6,511 


7,596 


6,370 


4,888 


100.0 


9.0 


27,8 


72.2 


.8 


2.3 


5.9 


5.0 


6.3 


7.5 


8.8 


7.4 


5.6 


118,666 


8,400 


26,567 


92,099 


696 


2,121 


5,583 


4,685 


6,089 


7,393 


8,898 


7,783 


6,246 


1 00.0 


7.1 


22.4 


77.6 


.6 


1.8 


4.7 


3.9 


5.1 


6.2 


7.5 


6.6 


5.3 


58,566 


1,433 


4,530 


54,036 


131 


398 


904 


680 


1,028 


1,389 


1,995 


2,226 


2.200 


6,908 


61 


485 


6,423 


2 


11 


48 


47 


139 


238 


343 


363 


422 


47,834 


113 


555 


47.279 


5 


27 


81 


54 


117 


271 


929 


1,524 


1,909 


988 


5 


28 


960 


1 


2 


2 


2 


7 


14 


43 


40 


25 


6,702 


212 


1,032 


5,670 


II 


22 


179 


175 


282 


363 


542 


524 


412 


19,131 


2,759 


6,575 


12,556 


387 


886 


1,486 


957 


1,325 


1.534 


1,420 


1,237 


956 


9,035 


199 


747 


8,288 


7 


53 


139 


131 


163 


254 


381 


364 


365 


269 

7,478 


3 
469 


11 
1,057 


258 
6,421 




1 
125 


2 
305 


192 


6 
204 


2 
192 


3 

279 


11 
252 


7 


39 


201 


49,124 


241 


2,148 


46,976 


11 


33 


197 


323 


536 


1,048 


1,883 


2,421 


2,511 


658 


2 


7 


651 


1 




1 




1 


4 


6 


8 


5 


8,349 


30 


148 


8,201 


3 


9 


18 


18 


38 


62 


260 


228 


270 


180,215 


44 


2,181 


178,034 


10 


9 


25 


99 


529 


1.509 


3,719 


4,943 


5,728 


51,921 


1,023 


12,734 


39,187 


16 


99 


908 


1,696 


3,719 


6,296 


8,777 


8,766 


6,626 


51,975 


118 


1,041 


50,934 


14 


16 


88 


130 


245 


548 


1,667 


1,853 


1,961 


30,455 


734 


2,753 


27,702 


39 


193 


502 


454 


637 


928 


1,378 


1,471 


1,426 


364 


11 


56 


308 




4 


7 


4 


8 


33 


8 


16 


27 


187,759 


2,937 


11,899 


175,860 


237 


666 


2,034 


1,916 


3.019 


4,027 


7,428 


9,120 


9,134 


819 


101 


268 


551 


9 


33 


59 


47 


76 


44 


31 


34 


28 


1.284 
9,748 


417 
3,756 


1.284 
9,748 




5 

87 


75 
580 


337 
3,089 


313 
2,597 


334 
2,263 


220 
1,132 













TOTAL 

Percent distrlbutioni 



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 properly; buying, receiving, 

possessing 

Vandalism 

Weapons; carrying, possessing, etc. 

Prostitution and commercialized vice 
Sex ofTenses (except forcible rape 

and prostitution) 

Drug abuse violations 

Gambling 

OfTenses against family and children 
Driving under the influence 

Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) .. 

Suspicion 

Curfew and loitering law violations 
Runaways 



See footnotes at end of table. 



215 



Table 53. — Rund County Arrests, Distribution by Age, 1990 — 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 dlstributioni 



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 



35,186 
4.1 



55 

105 

95 

986 

1,429 

1,945 

337 

44 



1,241 
3.9 

3,755 
4.3 



4,996 

4.2 



2,378 

393 

1,851 

40 

312 
718 
396 

7 

225 

2,285 

18 

405 
6,764 

1,965 
2,122 
1,469 

15 
8,781 

46 



32,932 
3.9 



31,690 

3.7 



32,881 
3.9 



154,997 
18.3 



126.105 
14.9 



87,001 
lOJ 



56,289 
6.6 



32,939 
3.9 



19,734 
2.3 



12,391 
1.5 



8,004 
.9 



52 

103 

112 

986 

1,162 

1,699 

281 

45 



52 

94 

105 

1,013 

996 

1,591 

238 

40 



53 

81 

97 

1,000 

973 

1,508 

231 

40 



247 

489 

463 

5,152 

3,667 

6,325 

1,053 

182 



196 

433 

283 

4,295 

2,267 

4,726 

637 

186 



161 

272 

141 

2,816 

1,245 

3,123 

385 

164 



132 

180 

63 

1,855 

586 

2,036 

203 

86 



101 

115 

41 

1,111 

289 

1,231 

120 

63 



46 

64 

11 

689 

127 

730 

68 

33 



26 
40 
12 

419 
68 

482 
27 
23 



29 

22 



261 
43 

333 
15 
13 



1,253 
3.9 

3,187 
3.7 



1,264 
3.9 

2,865 
3.3 



1,231 
3.8 

2,752 
3.2 



6,351 

19.8 

11,227 

13.0 



5,207 

16,2 

7,816 

9.0 



3,390 

10.6 

4,917 

5.7 



2,230 
6.9 

2,911 
3.4 



1,368 

4.3 

1,703 

2.0 



810 
2.5 

958 
1.1 



497 
1.5 
600 

.7 



312 
1.0 

404 

.5 



4,440 
3.7 



4,129 
3.5 



3,983 
3.4 



17,578 
14.8 



13,023 
1 1.0 



8,307 
7.0 



5,141 
4.3 



3,071 
2.6 



1,768 
1.5 



1,097 
.9 



716 
.6 



2,181 

367 

2,051 

29 

315 
703 
384 

II 

178 

2,308 

5 

296 
6,597 

1,296 
1,966 
1,300 

II 
8,470 

24 



2,290 

291 

2,257 

38 

274 
586 
325 

10 

160 

2,126 

14 

320 
6,561 

1,031 
1,896 
1,304 

12 
8,043 

23 



2,442 

309 

2,207 

43 

239 
596 
345 

10 

178 

2,247 

21 

369 
7,196 

1,012 
2,092 
1,313 

10 
8,249 

20 



11,922 

1,496 

10,208 

161 

1,100 
2,439 
1,704 

50 

977 
11,441 

77 

1,743 

36,474 

3,419 

9,997 

5,853 

66 

38,183 

109 



9,748 
978 

8,564 
162 

801 
1,628 
1,320 

57 

983 

9,297 

81 

1,624 

32,949 

2,229 

8,705 

4,526 

44 

29,284 

102 



6,720 
652 

6,551 
153 

439 

974 
978 

40 

870 

5,404 

97 

1,222 

23,998 

1,419 
6,452 
2,984 

29 
19,654 

58 



4,173 

402 

4,328 

97 

307 
571 
641 

15 

704 

2,793 

98 

719 

16,199 

922 

4,247 

1,875 

29 

12,992 

36 



2,396 

203 

2,338 

65 

189 
300 
426 

11 

407 

1,176 

67 

342 

10,312 

620 
2,848 
1,109 

15 
7,027 

17 



1,432 
96 

1,148 
34 

100 

177 
277 

13 

320 

515 

54 

183 

6,417 

412 

2,094 

673 

15 

3,999 

7 



858 
52 

686 
15 

48 
108 
160 

5 

258 

270 

35 

98 

4,291 

302 

1,326 

389 

5 

2,382 

6 



528 
34 

355 
13 

31 

58 

103 



185 

177 

34 

59 

2,934 

188 
891 
261 

2 
1,426 

5 



8,612 
1.0 



41 

41 

3 

299 
46 

462 
17 
14 



384 

1.2 

539 

.6 



923 
.8 



547 

22 

373 

2 

37 

85 

119 



244 

122 

31 

63 

2,952 

203 
817 
371 

4 
1.688 

5 



'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. 



216 



Table 54.— Rural County Arrests of Persons under 15, 18, 21, and 25 Years of Age, 1990 

[2,154 agencies; 1990 population 23,306,000] 



OfTense charged 



Total all 
ages 



Number of persons arrested 



Under 
15 



Under 

18 



Under 

21 



Under 

25 



Percent of total all ages 



Under 
15 



Under 
18 



Under 
21 



Under 

25 



TOTAL 

Murder and nonnegligcnt 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 



848,248 



1,457 

2,714 

2,037 

25,894 

30,465 

46,056 

8,547 

1,496 



32,102 
86,564 



118,666 



58,566 
6,908 

47,834 

988 

6,702 

19,131 
9,035 

269 

7,478 

49,124 

658 

8,349 

180,215 

51,921 

51,975 

30,455 

364 

187,759 

819 

1,284 

9,748 



23.068 



85,854 



209,487 



342,176 



2.7 



10.1 



16 
98 

34 

474 

3,055 

3,714 

823 

186 



87 

328 

192 

1.884 

9,683 

10,821 

3,219 

353 



266 

675 

611 

5,012 

17,567 

19,865 

4,935 

563 



478 

1,058 

1,020 

8,997 

22,127 

26,608 

6,022 

732 



1.1 
3.6 
1.7 
1.8 

10.0 
8.1 
9.6 

12.4 



6.0 
12.1 
9.4 
7.3 
31.8 
23.5 
37.7 
23.6 



622 
7,778 



2,491 
24,076 



6,564 
42,930 



11,553 
55,489 



1.9 
9.0 



7.8 
27.8 



8,400 



26,567 



49,494 



67,042 



7.1 



22.4 



1,433 

61 

113 

5 

212 

2.759 

199 



469 

241 

2 

30 

44 

1,023 
118 

734 
11 

2,937 
101 
417 

3,756 



4,530 

485 

555 

28 

1,032 

6,575 

747 

II 

1.057 

2,148 

7 

148 

2,181 

12,734 

1,041 

2,753 

56 

11.899 

268 

1,284 

9,748 



10,951 

1,613 

4,917 

136 

2,510 

10,188 
1,857 

32 

1,789 

8,963 

26 

906 

16,571 

36,903 

6,522 

7,028 

107 

37,581 

361 

1,284 

9,748 



20,242 
2,973 

13,283 

286 

3,650 

12,791 
3,307 

70 

2,530 

17,929 

84 

2,296 
43,689 

42,207 

14,598 

12,414 

155 

71,124 

474 

1.284 

9,748 



2.4 
.9 
.2 
.5 

3.2 
14.4 

2.2 

I.I 

6.3 
.5 
.3 
.4 

(4) 

2.0 

.2 

2.4 

3.0 

1.6 

12.3 

32.5 

38.5 



7.7 
7.0 
1.2 
2.8 
15.4 
34.4 
8.3 

4.1 

14.1 
4.4 
1.1 
1.8 
1.2 

24.5 

2.0 

9.0 

15.4 

6.3 

32.7 

100.0 

100.0 



24.7 



18.3 
24.9 
30.0 
19.4 
57.7 
43.1 
57.7 
37.6 



20.4 
49.6 



41.7 



18.7 
23.3 
10.3 
13.8 
37.5 
53.3 
20.6 

11.9 

23.9 
18.2 

4.0 
10.9 

9.2 

71.1 
12.5 
23.1 
29.4 
20.0 
44.1 
100.0 
100.0 



40J 



32.8 
39.0 
50.1 
34.7 
72.6 
57.8 
70.5 
48.9 



36.0 
64.1 



56.5 



34.6 
43.0 
27.8 
28.9 
54.5 
66.9 
36.6 

26.0 

33.8 
36.5 
12.8 
27.5 
24.2 

81.3 
28.1 
40.8 
42.6 
37.9 
57.9 
100.0 
100.0 



'Violent crimes arc ofTenses of murder, forcible rape, robbery, and aggravated assault. 
^Property crimes are offenses of burglary, larceoy-lhefl, motor vehicle theft, and arson. 
'Includes arson. 
*Lcss than one-tenth of I percent. 



217 



Table 55.— Rural County Arrests, Distribution by Sex, 1990 
[2,134 agencies; 1990 population 23,306,000] 



Offense charged 



Number of persons arrested 



Total 



Male 



Female 



Percent 
male 



Percent 
female 



Percent distribution' 



Total 



Male 



Female 



TOTAL 

Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-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 imder the influence 

Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) 

Suspicion 

Curfew and loitering law violations 

Runaways 



848,248 



1,457 

2,714 

2,037 

25,894 

30,465 

46,056 

8,547 

1,496 



32,102 
86,564 



118,666 



58,566 
6,908 

47,834 

988 

6,702 

19,131 
9,035 

269 

7,478 

49,124 

658 

8,349 

180,215 

51,921 

51,975 

30,455 

364 

187,759 

819 

1,284 

9,748 



706J90 



141,858 



83.3 



16.7 



100.0 



1,233 

2,666 

1,865 

22,959 

28,138 

36,146 

7,640 

1,316 



224 
48 

172 
2,935 
2,327 
9,910 

907 

180 



84.6 
98.2 
91.6 
88.7 
92.4 
78.5 
89.4 
88.0 



15.4 

1.8 

8.4 

11.3 

7.6 

21.5 

10.6 

12.0 



.2 

.3 

.2 

3.1 

3.6 

5.4 

1.0 

.2 



28,723 
73,240 



3,379 
13,324 



89.5 
84.6 



10.5 
15.4 



3.8 
10.2 



101,963 



16,703 



85.9 



14.1 



14.0 



49,643 
4,604 

24,826 

597 

5,920 

17,050 
8,515 

162 

7,209 

41,078 

535 

7,329 

159,286 

41,501 

46,927 

25,462 

305 

157,397 

687 

839 

4,555 



8,923 

2,304 

23,008 

391 

782 

2,081 

520 

107 
269 

8,046 
123 

1,020 
20,929 

10,420 

5,048 

4,993 

59 

30,362 

132 

445 

5,193 



84.8 
66.6 
51.9 
60.4 
88.3 
89.1 
94.2 

60.2 
96.4 
83.6 
81.3 
87.8 
88.4 

79.9 
90.3 
83.6 
83.8 
83.8 
83.9 
65.3 
46.7 



15.2 
33.4 
48.1 
39.6 
11.7 
10.9 
5.8 

39.8 
3.6 
16.4 
18.7 
12.2 
11.6 

20.1 
9.7 
16.4 
16.2 
16.2 
16.1 
34.7 
53.3 



6.9 
.8 

5.6 
.1 
.8 

2.3 

1.1 

(2) 
.9 

5.8 
.1 

1.0 
21.2 

6.1 
6.1 
3.6 

(2) 

22.1 

.1 

.2 

1.1 



100.0 



.2 

.4 

.3 

3.3 

4.0 

5.1 

1.1 

.2 



4.1 
10.4 



14.4 



7.0 
.7 

3.5 
.1 
.8 

2.4 

1.2 

(2) 
1.0 
5.8 
.1 
1.0 
22.5 

5.9 
6.6 
3.6 

(2) 
22.3 
.1 
.1 
.6 



100.0 



.2 
(2) 

.1 
2.1 
1.6 
7.0 

.6 

.1 



2.4 
9.4 



11.8 



6.3 
1.6 
16.2 
.3 
.6 
1.5 
.4 

.1 
.2 
5.7 
.1 
.7 
14.8 

7.3 

3.6 

3.5 

(2) 

21.4 

.1 

.3 

3.7 



■Because of rounding, the percentages may not add to total. 

tess than one-tenth of I percent. 

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

'Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 

'Includes arson. 



218 



Table 56.— Rural County Arrests, Distribution by Race, 1990 

[2,120 agencies; 1990 population 23,223,000] 



Offense cbaiged 



TOTAL 



Murder and nonnegligent 

manslaughler 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 



Violent crime' . 
Property crime^ 



Crime Index total* 



Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen properly, buying, receiving, 

possessing 

Vandalism 

Weapons; carrying, possessing, etc. 



Prostitution and commercialized vice 
Sex offenses (except forcible 

rape and prostitution) 

Drug abuse violations 

Gambling 

Offenses against family and children 
Driving under the influence 



Liquor laws 

I>runkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) .. 

Suspicion 

Curfew and loitering law violations 
Runaways 



Total arrests 



Total 



819,561 



1,430 

2,679 

1,998 

24,824 

29,299 

43,685 

8,448 

1,454 



30,931 
82,886 



113,817 



56,958 
6,583 

45,738 
942 

6,187 
18,008 
8,511 

268 

6.987 

46,772 

653 

7,857 

173,600 

50,727 

51.915 

29,529 

359 

182,725 

818 

1,280 

9,327 



White 



680,234 



Black 



109,864 



1,025 

2,021 

1,188 

18,352 

24,175 

35,226 

7,049 

1,231 



22,586 
67,681 



90,267 



43,543 

4,968 

33,717 

772 

4,961 
15,521 
6,940 

232 

6,287 

36,920 

416 

5,865 

159,408 

47,172 

45,833 

23,756 

304 

143,845 

633 

752 

8,122 



366 

583 

758 

5,443 

4,071 

6,904 

985 

155 



American 

Indian 

or 

Alaskan 
Native 



20,987 



Asian 

or 
Pacific 
Islander 



8,476 



7,150 
12,115 



19,265 



10,942 

1,498 

11.578 

140 

1,066 
1,«38 
1,331 

35 

523 
8,853 

149 
1,675 
8,771 

1,866 

4,017 

3.872 

39 

31,894 

128 

30 

354 



32 

64 

21 

842 

742 

747 

236 

58 



959 
1,783 



2,742 



1,644 

78 

363 

9 

110 
462 

152 

1 

137 

567 

1 

228 

4,499 

1.337 

1,962 

1,661 

16 

4,578 

55 

40 

345 



7 

11 

31 

187 

311 

808 

178 

10 



236 
1,307 



1,543 



829 
39 
80 
21 

50 
187 



40 

432 

87 

89 

922 

352 
103 
240 



2,408 

2 

458 

506 



Percent distribution' 



Total 



100.0 



100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



100.0 
100.0 



100.0 



100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 

100.0 

100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



White 



83.0 



71.7 
75.4 
59.5 
73.9 
82.5 
80.6 
83.4 
84.7 



Black 



13.4 



Amencan 
Indian 



Alaskan 
Native 



73.0 
81.7 



79.3 



76.4 
75.5 
73.7 
82.0 

80.2 
86.2 
81.5 

86.6 

90.0 
78.9 
63.7 
74.6 
91.8 

93.0 
88.3 
80.4 
84.7 
78.7 
77.4 
58.8 
87.1 



25.6 
21.8 
37.9 
21.9 
13.9 
15.8 
11.7 
10.7 



23.1 
14.6 



16.9 



19.2 
22.8 
25.3 
14.9 

17.2 
10.2 
15.6 

13.1 

7.5 
18.9 
22.8 
21.3 

5.1 

3.7 
7.7 
13.1 
10.9 
17.5 
15.6 
2.3 
3.8 



2.6 



2.2 
2.4 
1.1 
3.4 
2.5 
1.7 
2.8 
4.0 



3.1 

2.2 



2.4 



Pacific 
Islander 



1.0 



.5 

.4 
1.6 

.8 
l.I 
1.8 
2.1 

.7 



.8 
1.6 



2.9 


1.5 


1.2 


.6 


.8 


.2 


1.0 


2.2 


1.8 


.8 


2.6 


1.0 


1.8 


1.0 


4 




2.0 


.6 


1.2 


.9 


.2 


13.3 


2.9 


1.1 


2.6 


.5 


2.6 


.7 


3.8 


.2 


5.6 


.8 


45 




2.5 


1.3 


6.7 


.2 


3.1 


35.8 


3.7 


5.4 



See footnotes at end of table. 



219 



Table 56. — Rural County Arrests, Distribution by Race, 1990 — Continued 



Offense charged 



Arrests under 18 



Total 



White 



Black 



American 
Indian 



Alaskan 
Native 



Pacific 
Islander 



Percent distribution' 



Total 



White 



Black 



American 

Indian 

or 

Alaskan 
Native 



Asian 

or 
Pacific 
Islander 



TOTAL 

Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 

Violent crime^ 

Property crime' 

Crime Index total' 

Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, 

possessing 

Vandalism 

Weapons; carrying, possessing, etc. ... 

Prostitution and commercialized vice . 
Sex offenses (except forcible 

rape and prostitution) 

Drug abuse violations 

Gambling 

Oflenses 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 



81,820 



87 

328 

190 

1,721 

9,233 

9,990 

3,186 

328 



2,326 
22,737 



25,063 



4,371 

454 

518 

27 

910 

6,231 

682 

10 

947 

2,014 

7 

105 
2,149 

12,435 

1,033 

2,662 

55 

11,273 

267 

1,280 

9,327 



70,176 



66 

250 

102 

1,180 

8,062 

8,555 

2,687 

302 



1,598 
19,606 



21,204 



3,216 

404 

443 

20 

744 

5,628 

520 



844 

1,566 

5 

98 

2,052 

11,729 

951 

2,260 

40 

9,375 

196 

752 

8,122 



6,522 



2,443 



2,679 



100.0 



85.8 



8.0 



17 

67 

73 

428 

740 

880 

288 

16 



4 

10 

1 

85 

273 

200 

107 

6 



1 

14 

28 

158 

355 

104 

4 



100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



75.9 
76.2 
53.7 
68.6 
87.3 
85.6 
84.3 
92.1 



19.5 

20.4 

38.4 

24.9 

8.0 

8.8 

9.0 

4.9 



585 
1,924 



100 
586 



43 
621 



100.0 
100.0 



68.7 
86.2 



25.2 
8.5 



2,509 



686 



664 



100.0 



84.6 



10.0 



765 
36 
62 

7 

118 
336 
116 



69 
318 

1 

3 

25 

169 
43 

282 

II 

1,248 

18 

30 

354 



159 
6 
4 



231 
8 
9 



24 
171 
20 



25 

26 

I 

3 
61 

396 

37 

96 

4 

285 
53 
40 

345 



24 
96 
26 



9 
104 



I 
11 

141 

2 
24 



365 



458 
506 



100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 

100.0 

100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



73.6 
89.0 
85.5 
74.1 

81.8 
90.3 

76.2 

70.0 

89.1 

77.8 
71.4 
93.3 
95.5 

94.3 
92.1 
84.9 

72.7 
83.2 
73.4 
58.8 
87.1 



17.5 

7.9 

12.0 

25.9 

13.0 

5.4 

17.0 

20.0 

7.3 

15.8 

14.3 

2.9 

1.2 

1.4 
4.2 
10.6 
20.0 
11.1 
6.7 
2.3 
3.8 



3.0 



4.6 
3.0 
.5 
4.9 
3.0 
2.0 
3.4 
1.8 



4.3 
2.6 



2.7 



3.6 

1.3 

.8 



2.6 
2.7 
2.9 

10.0 

2.6 
1.3 
14.3 
2.9 
2.8 

3.2 
3.6 
3.6 

7.3 

2.5 

19.9 

3.1 

3.7 



3J 



.3 
7.4 
1.6 
1.7 
3.6 
3.3 
1.2 



1.8 

2.7 



2.6 



5.3 
1.8 
1.7 



2.6 
1.5 
3.8 



1.0 

5.2 



1.0 

.5 

1.1 
.2 
.9 



3.2 



35.8 
5.4 



See footnotes at end of table. 



220 



Table 56.— Rurai County Arrests, Distributioii by Race, 1990— Continued 



OfTense charged 



TOTAL 



Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 



Violent crime^ . 
Property crime' 



Crime Index total' 



Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, 

possessing 

Vandalism 

Weapons; carrying, possessing, etc. 



Prostitution and commercialized vice 
Sex oflenses (except forcible 

rape and prostitution) 

Drug abuse violations 

Gambling 

Offenses against family and children 
Driving under the influence 



Liquor laws 

Drunlcenness 

Disorderly conduct 

Vagrancy 

All other oflenses (except traflic) .. 

Suspicion 

Curfew and loitering law violations 
Runaways 



Arrests 18 and over 



Total 



737,741 



1,343 

2,351 

1,808 

23,103 

20,066 

33,695 

5,262 

1,126 



28,605 
60,149 



88,754 



52,587 

6,129 

45,220 

915 

5,277 
11,777 
7,829 

258 

6,040 

44.758 

646 

7,752 

171,451 

38,292 
50,882 
26,867 

304 
171,452 

551 



White 



610,058 



Black 



103,342 



American 
Indian 



Alaskan 
Native 



18,544 



959 

1,771 

1,086 

17,172 

16,113 

26,671 

4,362 

929 



20,988 
48,075 



69,063 



40,327 

4,564 

33,274 

752 

4,217 
9,893 
6,420 

225 

5.443 

35,354 

411 

5.767 

157.356 

35.443 
44.882 
21.496 

264 
134.470 

437 



349 

516 

685 

5,015 

3,331 

6,024 

697 

139 



6,565 
10,191 



16,756 



10.177 

1.462 

11.516 

133 

948 
1.502 
1.215 

33 

454 
8.535 

148 
1.672 
8,746 

1,697 

3.974 

3,590 

28 

30,646 

110 



28 

54 

20 

757 

469 

547 

129 

52 



Asian 



Pacific 
Islander 



5,797 



859 
1,197 



2,056 



1,485 

72 

359 

9 

86 
291 

132 



112 
541 



225 
4,438 

941 

1.925 

1.565 

12 

4.293 

2 



Percent distribution' 



Total 



100.0 



7 


100.0 


10 


100.0 


17 


100.0 


159 


100.0 


153 


100.0 


453 


100.0 


74 


100.0 


6 


100.0 


193 


100.0 


686 


100.0 



879 



598 

31 
71 
21 

26 
91 
62 



31 

328 

87 

88 

911 

211 
101 
216 



2.043 
2 



100.0 



100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 

100.0 

100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



White 



82.7 



Black 



14.0 



71.4 
75.3 
60.1 
74.3 
80.3 
79.2 
82.9 
82.5 



73.4 
79.9 



77.8 



'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-lheft. motor vehicle theft, and arson. 
'Includes arson. 



76.7 
74.5 
73.6 
82.2 

79.9 
84.0 
82.0 

87.2 

90.1 
79.0 
63.6 
74.4 
91.8 

92.6 
88.2 
80.0 
86.8 
78.4 
79.3 



26.0 
21.9 

37.9 
21.7 
16.6 
17.9 
13.2 
12.3 



American 

Indian 

or 

Alaskan 
Native 



23.0 
16.9 



18.9 



19.4 
23.9 
25.5 
14.5 

18.0 
12.8 
15.5 

12.8 

7.5 
19.1 
22.9 
21.6 

5.1 

4.4 

7.8 

13.4 

9.2 

17.9 

20.0 



2.5 



2.1 
2.3 
1.1 
3.3 
2.3 
1.6 
2.5 
4.6 



3.0 
2.0 



2.3 



2.8 

1.2 

.8 

1.0 

1.6 
2.5 
1.7 



1.9 

1.2 



2.9 
2.6 

2.5 
3.8 
5.8 
3.9 
2.5 
.4 



Asian 

or 
Pacific 
Islander 



.5 

.4 
.9 
.7 
.8 
1.3 
1.4 
.5 



.7 
1.1 



1.0 



1.1 
.5 
.2 

2.3 

.5 
.8 



.5 

.7 

13.5 

1.1 

.5 

.6 
.2 
.8 



1.2 
.4 



221 



Table 57.— Suburban Area' Arrest Trends, 1989-1990 

(4,056 agencies; 1990 population 67,525,000] 



Oflense charged 



Number of persons arrested 



Total all ages 



1989 



1990 



Percent 
change 



Under 1 8 years of age 



1989 



1990 



Percent 
change 



18 years of age and over 



1989 



1990 



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 



3,096,191 



3,009 

7.418 

19,475 

82,940 

92,718 

343,050 

39,904 

4,435 



112,842 
480,107 



592,949 



201,980 

22,282 

95,495 

3,236 

38,750 
74,854 
43,764 

6,708 

22,471 

246,476 

2,513 

23,345 
531,350 

160,361 

179,482 

148,006 

4,703 

640,326 

2,743 

17,148 

39,992 



3,234,226 



3,392 

7,830 

21,125 

92,710 

91,151 

358,331 

40,077 

4,854 



125,057 
494,413 



619,470 



227,228 

21,877 

99,268 

3,149 

39,254 
81,806 
45,817 

7,186 

22,812 
202,796 

2,575 

28,737 

571,900 

175,803 

195,187 

159,312 

4,054 

665,863 

2,923 

19,113 

41,019 



+4.5 



500,076 



527,526 



+5.5 



2,5%,115 



2,706,700 



+ 12.7 
+5.6 
+8.5 

+ 11.8 

-1.7 

+4.5 

+.4 

+9.4 



285 

1,190 

3,857 

10,725 

33,077 

106,543 

16,202 

2,281 



380 

1,237 

4.617 

12,617 

33,379 

113,769 

17,535 

2,453 



+33.3 

+3.9 

+ 19.7 

+ 17.6 

+.9 

+6.8 

+8.2 

+7.5 



2,724 

6,228 

15,618 

72,215 

59,641 

236,507 

23,702 

2,154 



3,012 

6,593 

16.508 

80,093 

57,772 

244,562 

22,542 

2,401 



+ 10.8 
+3.0 



16,057 
158,103 



18,851 
167,136 



+ 17.4 
+5.7 



96.785 
322,004 



106,206 

327,277 



+4.5 



174,160 



185,987 



+6.8 



418,789 



433,483 



+ 12.5 
-1.8 
+4.0 

-2.7 

+ 1.3 
+9.3 
+4.7 

+7.1 

+ 1.5 
-17.7 

+2.5 
+23.1 

+7.6 

+9.6 
+8.8 
+7.6 

-13.8 
+4.0 
+6.6 

+ 11.5 
+2.6 



30,016 

1,703 

1,752 

267 

10,212 

34,033 

7,792 

127 

4,159 

20,072 

150 

755 

5,904 

42,601 

5,378 

29,691 

819 
73,345 

882 
17.148 
39,992 



34,368 

1,879 

1,821 

194 

10,871 

36,831 

8,516 

216 

4,317 

14,561 

126 

865 

6,239 

46,047 

5,972 

32,271 

819 
75,494 

901 
19,113 
41,019 



+ 14.5 

+ 10.3 

+3.9 

-27.3 

+6.5 
+8.2 
+9.3 

+70.1 

+3.8 
-27.5 
-16.0 
+ 14.6 

+5.7 

+8.1 

+ 11.0 

+8.7 



+2.9 

+2.2 

+ 11.5 

+2.6 



171,964 

20,579 

93,743 

2,969 

28,538 
40,821 
35,972 

6,581 

18,312 

226,404 

2,363 

22.590 
525,446 

117,760 
174.104 
118,315 

3.884 
566,981 

1,861 



192,860 

19,998 

97,447 

2,955 

28,383 
44,975 
37,301 

6,970 

18,495 

188,235 

2,449 

27,872 
565,661 

129,756 
189.215 
127,041 

3.235 
590,369 

2,022 



+43 



+ 10.6 
+5.9 
+5.7 

+10.9 
-3.1 
+3.4 
-4.9 

+ 11.5 



+9.7 
+ 1.6 



+3.5 



+ 12.2 

-2.8 

+4.0 

-.5 

-.5 

+ 10.2 

+3.7 

+5.9 

+ 1.0 
-16.9 

+3.6 

+23.4 

+7.7 

+10.2 

+8.7 
+7.4 
-16.7 
+4.1 
+8.7 



'Includes suburban city and county law enforcement agencies within metropolitan areas. Excludes central cities. Suburban cities and counties are also included in other groups. 
Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 
'Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 
^Includes arson. 



222 



Table 58.— Suburban Area' Arrest Trends, Sex, 1989-1990 

(4,056 agencies, 1990 population 67,525,000) 



OfTense charged 



TOTAL 



Murder and nonnegligent 

manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 



Violent crime^ 
Property crime' 



Crime Index total' 



Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, 

possessing 

Vandalism 

Weapons; carrying, possessing, etc. 

Prostitution and commercialized 
vice 

Sex ofTenses (except forcible rape 
and prostitution) 

Drug abuse violations 

Gambling 

Offenses against family and 
children 

Driving under the influence 



Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) 

Suspicion (not included in totals) .. 
Curfew and loitering law violations 
Runaways 



Males 



Total 



1989 



2,531,910 



2,601 

7,318 

17,875 

73,104 

84,683 

235,967 

35,749 

3,915 



100,898 
360,314 



1990 



2,640,S59 



461,212 



169,000 

14,568 

49,263 

1,825 

33,785 
67,275 
40,795 



2,551 

21.398 

204.709 

2,035 

20,378 
465,307 

128,770 
161,836 
121,888 
3,949 
530,690 

2,321 
12,589 
18,087 



3,033 

7,742 

19,372 

81,630 

83,556 

242,919 

35,809 

4,303 



111,777 
366,587 



Percent 

change 



+4.3 



+16.6 
+5.8 
+8.4 

+ 11.7 

-1.3 

+2.9 

+.2 

+9.9 



Under 18 



1989 



388,621 



+10.8 
+ 1.7 



478,364 



189,366 

14,033 

50,966 

1,909 

34,399 
73,823 
42,640 



3,206 

21,738 

168,443 

2.130 

25,049 
498,605 

141,892 
175,386 
131,212 
3,535 
551,510 

2,461 
13,892 
18,461 



+3.7 



+ 12.1 
-3.7 
+3.5 
+4.6 

+ 1.8 
+9.7 
+4.5 



+25.7 

+ 1.6 

-17.7 

+4.7 

+22.9 

+7.2 

+ 10.2 
+8.4 
+7.6 

-10.5 
+3.9 

+6.0 

+ 10.4 

+2.1 



261 

1,161 

3,582 

9.305 

30,468 

79,094 

14,405 

2,059 



14,309 
126,026 



1990 



410,297 



360 

1,204 

4,278 

10,873 

30,840 

84,001 

15,415 

2.227 



16,715 
132,483 



Percent 
change 



+5.6 



+37.9 
+3.7 
+ 19.4 
+ 16.9 
+ 1.2 
+6.2 
+7.0 
+8.2 



Females 



Total 



1989 



564,281 



408 

100 

1,600 

9,836 

8.035 

107,083 

4,155 

520 



140,335 



23,341 

1,190 

1,104 

166 

9.194 
31,153 

7,417 



55 

3.866 

17,103 

130 

505 
5,103 

30,490 

4,504 

23.937 

686 

57,666 

735 
12,589 
18,087 



J_ 



149,198 



26,789 

1.248 

1,228 

125 

9,876 

34,010 

8,102 



136 

4,038 

12,604 

115 

570 
5,396 

33.159 

5,028 

26,054 

688 

59,580 

761 
13,892 
18,461 



+ 16.8 
+5.1 



+6.3 



+ 14.8 

+4.9 

+ 11.2 

-24.7 

+7.4 
+9.2 
+9.2 



+ 147.3 

+4.4 
-26.3 
-11.5 

+ 12.9 

+5.7 

+8.8 

+ 11.6 

+8.8 

+.3 

+3.3 

+3.5 

+ 10.4 

+2.1 



1 1 ,944 
119,793 



1990 



593,667 



359 

88 

1,753 

11,080 

7,595 

115,412 

4,268 

551 



Percent 

change 



+5.2 



-12.0 
-12.0 
+9.6 
+ 12.6 
-5.5 
+7.8 
+2.7 
+6.0 



Under 18 



1989 



111,455 



1990 



117,229 



131,737 



32,980 
7,714 

46,232 
1,411 

4.965 
7,579 
2,969 



4,157 

1,073 

41,767 

478 

2,967 
66,043 

31,591 

17,646 

26,118 

754 

109,636 

422 

4,559 

21,905 



13,280 
127,826 



141,106 



37,862 
7,844 

48,302 
1,240 

4,855 
7,983 
3,177 



3,980 

1,074 

34,353 

445 

3,688 
73,295 

33,911 

19,801 

28,100 

519 

114,353 

462 

5,221 

22,558 



+ 11.2 
+6.7 



+7.1 



+ 14.8 
+ 1.7 
+4.5 

-12.1 

-2.2 
+5.3 
+7.0 



-4.3 

+.1 

-17.8 

-6.9 

+24.3 
+ 11.0 

+7.3 
+ 12.2 

+7.6 
-31.2 

+4.3 

+9.5 

+ 14.5 

+3.0 



24 

29 

275 

1,420 

2,609 

27,449 

1,797 

222 



1,748 
32,077 



33,825 



6,675 
513 
648 
101 

1,018 
2,880 

375 



72 

293 

2,969 

20 

250 
801 

12,111 

874 

5.754 

133 

15,679 

147 

4.559 

21,905 



20 

33 

339 

1,744 

2,539 

29,768 

2,120 

226 



2,136 
34,653 



36,789 



7,579 

631 

593 

69 

995 

2,821 
414 



80 

279 

1,957 

II 

295 
843 

12,888 

944 

6,217 

131 

15,914 

140 

5,221 

22,558 



Percent 
change 



+5.2 



-16.7 

+ 13.8 

+23.3 

+22.8 

-2.7 

+8.4 

+ 18.0 

+ 1.8 



+22.2 
+8.0 



+8.8 



+ 13.5 

+23.0 

-8.5 

-31.7 

-2.3 

-2.0 

+ 10.4 



+ 11.1 

-4.8 
-34.1 
-45.0 

+ 18.0 

+5.2 

+6.4 
+8.0 
+8.0 
-1.5 

+ 1.5 

-4.8 

+ 14.5 

+3.0 



'Includes suburban city and county law enforcement agencies within metropolitan areas. Excludes central cities. Suburban cities and counties are also included in other groups. 
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 
'Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 
'Includes arson. 



223 



Table 59.— Suburban Area' Arrests, Distribution by Age, 1990 

[4,821 agencies; 1990 population 79,878,000] 



OfTense charged 



Total 
aU 
ages 



Ages 

under 

15 



Ages 

under 

18 



Ages 

18 and 

over 



Age 



Under 
10 



10-12 



13-14 



15 



16 



17 



19 



20 



TOTAL 

Pcrecit distribution' 

Murder and nonnegligent 

manslaugbter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 

Violent crime' 

Percent distribution' 

Property crime* 

Percent distribution' 

Crime Index total' 

Percent distribution' 

Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, 

possessing 

Vandalism 

Weapons; carrying, 

possessing, etc 

Prostitution and 

commercialized vice 

Sex ofTenses (except forcible 

rape and prostitution) 

Drug abuse violations 

Gambling 

OfTenses against family and 

children 

Driving under the influence 

Liquor laws 

Drunkenness 

Disordcriy conduct 

Vagrancy 

All other offenses (except 

traffic) 

Suspicion 

Curfew and loitering law 

violations 

Runaways 



3,881,771 
100.0 



4,143 

9,593 

28,485 

116,455 

113,659 

434,061 

48,037 

5,609 



158,676 
100.0 

601,366 
100.0 



760,042 
100.0 



266,485 

25,865 

110,344 

4,188 

46,022 
95,190 

54,421 



11,504 

27,148 

247,419 

3,220 

32,145 
638,951 

207,290 

227,454 

190,673 

4.510 

856,102 
3,181 

22,050 
47,567 



208,744 
5.4 



623,799 
16.1 



3,257,972 
83.9 



15,163 
.4 



52,280 
U 



141,301 
3.6 



114,469 
2.9 



139,693 
3.6 



160,893 
4.1 



195,713 
5.0 



203,143 

5.2 



185,890 
4.8 



54 

543 

1,554 

4,807 

15,812 

58,115 

5,588 

1,838 



482 

1,516 

6,087 

15,855 

40,829 

135,065 

20,784 

2,789 



3,661 

8,077 

22,398 

100,600 

72,830 

298,996 

27,253 

2,820 



3 

23 

38 

348 

1,174 

4,165 

68 

430 



7 

111 

303 

1,244 

4,135 

17,473 

642 

602 



44 

409 

1.213 

3,215 

10,503 

36,477 

4,878 

806 



86 

279 

1,121 

2,860 

7,646 

23,418 

5,036 

357 



125 

322 

1,592 

3.684 

8,347 

26,389 

5,299 

307 



217 

372 

1,820 

4,504 

9,024 

27,143 

4,861 

287 



248 

500 

2,110 

5,002 

9,243 

25,811 

3,947 

239 



228 

439 

2,022 

5,077 

7,551 

21,746 

3,112 

190 



212 

377 

1,665 

4,815 

5,764 

17,819 

2,207 

152 



6,958 

4.4 

81.353 

13.5 



23,940 

15.1 

199,467 

33.2 



134,736 
84.9 

401,899 
66.8 



412 

.3 

5,837 

1.0 



1,665 

1.0 

22,852 

3.8 



4,881 

3.1 

52,664 



4,346 

2.7 

36,457 

6.1 



5,723 

3.6 

40,342 

6.7 



6,913 

4.4 

41,315 

6.9 



7,860 

5.0 

39,240 

6.5 



7,766 

4.9 

32,599 

5.4 



7,069 

4.5 

25,942 

4.3 



8,311 
11.6 



223,407 
29.4 



536,635 
70.6 



6,249 



24,517 
3.2 



57,545 
7.6 



40,803 
5.4 



46,065 
6.1 



48,228 
6.3 



47,100 
6.2 



40,365 
5.3 



33,01 1 
4.3 



15,344 

327 

349 

39 

3,469 
20,209 

2,702 



36 

2,494 

2,191 

41 

377 
140 

4,110 

840 

12,385 

236 

28,321 
364 

6,613 
19,846 



40,313 

2,146 

2,152 

276 

12,614 
42,381 

9,933 



241 

4,989 

17,788 

143 

1,116 
6,866 

52,056 

7,077 

37,839 

856 

91,000 
989 

22,050 
47,567 



226,172 

23,719 

108,192 

3,912 

33,408 
52,809 

44,488 



11,263 

22,159 
229,631 

3,077 

31,029 
632,085 

155,234 

220,377 

152,834 

3,654 

765,102 
2,192 



1,242 
17 
39 

2 

98 

2,827 

116 



233 
66 

2 



49 

959 

12 

2,237 
38 

127 
640 



4,262 
57 
49 
10 

660 
6,383 

551 



10 

691 

219 

6 

81 
15 

300 

85 

3,218 

34 

6,602 
109 

1,061 
3,360 



9,840 
253 
261 

27 

2,711 
10,999 

2.035 



23 

1,570 

1,906 

33 

217 
85 

3,722 
706 

8,208 
190 

19,482 
217 

5,425 
15,846 



7,154 

306 

266 

23 

2,538 
6,899 

1,869 



51 

912 

2,807 

25 

223 
266 

7,159 

1,073 

7,030 

142 

16,987 
183 

5,259 
12,494 



8,421 

538 

520 

65 

3,149 
7,455 

2,419 



61 

758 

4,823 

31 

246 
1,676 

15,148 

1,821 

8,352 

211 

20,757 
207 

6,363 
10,607 



9,394 
975 

1,017 
149 

3,458 
7.818 

2,943 



93 

825 

7,967 

46 

270 
4,784 

25,639 

3,343 

10,072 

267 

24.935 
235 

3,815 
4,620 



10,235 

1,426 

2,510 

226 

3,855 
6,742 

3,671 



215 

935 

11,922 

112 

710 
13,058 

36,867 

7,091 

11,041 

314 

37,469 
214 



10,756 
1,669 
3,936 

255 

3,315 
5,456 

3,368 



343 

900 
13,616 

77 

714 
18,098 

36,656 

7,886 

10,931 

284 

44,353 
165 



10.365 

1,446 

4,720 

255 

2,591 
4,139 

2,808 



387 

855 

13,155 

58 

858 
21,016 

28,102 

8,070 

10,197 

191 

43,537 
129 



See footnotes at end of table. 



224 



Table 59. — Subnrban Area* Arrests, Distribution by Age, 1990 — Continued 



OiTense charged 



Age 



22 



23 



24 



25-29 



30-34 



35-39 



40-44 



45-49 



50-54 



55-59 



60-64 



65 and 
over 



TOTAL 

PcKtnl di>trlbiitioii> 



Murder and nonnegligent 

manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Anon 



Violent crime' 

Percent distribution' 

Property crime* 

Percent distribution' 



Crime Index total' .. 
Percent distribution' 



Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, 

possessing 

Vandalism 

Weapons; carrying, 

possessing, etc 



Prostitution and 

commercialized vice 

Sex offenses (except forcible 

rape and prostitution) 

Drug abuse violations 

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 



152,828 
3.9 



175 

380 

1,290 

4.631 

4,023 

12.915 

1,591 

153 



6,476 

4.1 

18,682 

3.1 



25,158 
3.3 



10,350 

1,119 

5,016 

183 

1,793 
2,830 

2,291 



487 

816 

11,777 
52 

1.093 
26,933 

5,106 

8,987 

8,676 

171 

39,877 
113 



147,437 
3.8 



14«,117 
3.8 



687,779 
17.7 



537,989 
13.9 



350,256 
9.0 



208,544 

5.4 



117,656 
3.0 



66,048 
1.7 



39,848 
1.0 



26,118 

.7 



180 

369 

1,273 

4,509 

3,687 

12,301 

1,387 

120 



164 

371 

1,219 

4,465 

3,365 

11,465 

1,304 

116 



709 

1,697 

4,944 

22,290 

14,291 

55,122 

5,115 

546 



508 

1,375 

3,312 

18.035 

10,101 

45,962 

3,122 

406 



378 

860 

1,700 

11,492 

5,486 

32,276 

1,794 

287 



275 

556 

758 

6,673 

2,498 

18,898 

947 

191 



151 

293 

306 

3,825 

1,109 

10,474 

452 

117 



86 

164 

154 

2,163 

488 

6,433 

195 

65 



57 

128 

63 

1,212 

276 

4,500 

94 

45 



38 

65 

29 

792 

117 

3,491 

59 

19 



6,331 
4.0 

17,495 
2.9 



6,219 

3.9 

16,250 

2.7 



29,640 
18.7 

75.074 
12.5 



23,230 

14.6 

59,591 

9.9 



14,430 
9.1 

39,843 
6.6 



8,262 

5.2 

22,534 

3.7 



4,575 

2.9 

12,152 

2.0 



2,567 
1.6 

7,181 
1.2 



1,460 

.9 

4,915 



924 

.6 

3,686 

.6 



23,826 
3.1 



22,469 
3.0 



104,714 
13.8 



82,821 
10.9 



54,273 
7.1 



30,796 
4.1 



16,727 
2.2 



9,748 
1.3 



6,375 



4,610 
.6 



10,522 

1,156 

5,024 

180 

1,651 
2.613 

2,217 



516 

793 



1,162 
27,365 

4,046 

8,874 

7,697 

158 

37,979 
109 



10,787 
1,065 

5,273 
176 

1,553 
2,403 

2,076 



541 

817 

11,734 

68 

1,412 
27,950 

3,429 

8,776 

7,528 

153 

37,818 
89 



52,434 

5,173 

24,496 

827 

6.307 
10,235 

8,632 



3,044 

4,220 

56,218 

335 

6,922 
142,646 

12,970 

44,434 

31,705 

670 

171,341 
456 



40,987 

4,010 

20,179 

636 

4,411 
6,808 

6,421 



2.369 

3,685 

41,985 

386 

6,693 
117,087 

8,264 

38,868 

22,613 

525 

128,917 

324 



25,809 

2,680 

14,192 

406 

2,876 
3,758 

4,115 



1,326 

2,806 

24,606 

369 

4,885 
79,630 

5,201 

28,552 

13,645 

380 

80,556 
191 



15.090 

1.387 

8,828 

284 

1,453 
2,065 

2,605 



672 

1,950 

11,848 

370 

2,814 
52,345 

2,981 

18,707 

8.098 

238 

45,896 
117 



8,081 
688 

4.423 
132 

756 
1.024 

1,555 



374 

1,218 

4,877 

339 

1,431 
32,382 

1,838 

11,852 

4,532 

142 

25,225 
60 



4,442 

317 

2,347 

74 

341 
524 

854 



204 

805 

2,048 

288 

630 
19,518 

1,025 

7,224 

2,490 

76 

13,057 
36 



2,534 

177 

1,174 

32 

177 
330 

568 



120 

577 
889 
208 

304 
12,058 

649 

4,855 

1,433 

53 

7,320 
15 



1,554 

55 

647 

25 

114 
207 

371 



74 

408 
490 
161 

158 
7,699 

424 

3,417 

1,037 

37 

4,620 
10 



27,014 

.7 



52 
77 
30 
820 
127 
5,065 
64 
21 



979 
.6 

5,277 
.9 



6,256 



1,605 

70 

604 

29 

102 
241 

342 



109 

602 

376 
142 

138 
6,987 

426 

2,893 

1,150 

31 

4,895 
16 



'Includes suburban city and county law enforcement agencies within metropolitan areas. Excludes central cities. Suburban cities and counties are also included in other groups. 

'Because of rounding, the percentages may not add to total. 

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

'Property crimes are olTenses of burglary, larceny-theft, motor vehicle theft, and arson. 

'Includes arson. 



225 



Table 60. — Suburlnui Area* Arrests of Persons under 15, 18, 21 and 2S Years of Age, 1990 

[4,821 agencies; 1990 population 79,878,000) 



Oflense charged 



Total 
all ages 



Number of persons arrested 



Under 15 Under 18 Under 21 



Under 25 



Percent of total all ages 



Under 
15 



Under 
18 



Under 
21 



Under 

25 



TOTAL 

Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 

Violent crime^ 

Property crime^ 

Crime Index total* 

Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, possessing 

Vandalism 

Weapons; carrying, possessing, etc 

Prostitution and commercialized vice 

Sex oiTenses (except forcible rape and prostitution) 

Drug abuse violations 

Gambling 

Offenses against family and children 

Driving under the influence 

Liquor laws 

Dninkenness 

Disorderly conduct 

Vagrancy 

All other oflenses (except traffic) 

Suspicion 

Curfew and loitering law violations 

Runaways 



3,881,771 



4,143 

9,593 

28,485 

116,455 

113,659 

434,061 

48,037 

5,609 



158,676 
601,366 



760,042 



266,485 
25,865 

110,344 
4,188 
46,022 
95,190 
54,421 

11,504 
27,148 

247,419 

3,220 

32,145 

638,951 

207,290 

227,454 

190,673 

4,510 

856,102 

3,181 

22,050 

47,567 



208,744 



623,799 



1,208,545 



1,820,519 



5.4 



16.1 



54 

543 

1,554 

4,807 

15.812 

58,115 

5,588 

1,838 



482 

1,516 

6,087 

15,855 

40,829 

135,065 

20,784 

2,789 



1,170 

2,832 

11,884 

30,749 

63,387 

200,441 

30,050 

3,370 



1,889 

4,378 
17,189 
49,153 
79,166 
251,840 
36,195 

3,912 



1.3 

5.7 

5.5 

4.1 

13.9 

13.4 

11.6 

32.8 



11.6 
15.8 
21.4 
13.6 
35.9 
31.1 
43.3 
49.7 



6,958 
81,353 



23,940 
199,467 



46,635 
297,248 



72,609 
371,113 



4.4 
13.5 



15.1 
33.2 



;,311 



223,407 



343,883 



443,722 



11.6 



29.4 



15,344 

327 

349 

39 

3,469 

20,209 

2,702 

36 

2,494 

2,191 

41 

377 

140 

4,110 

840 

12,385 

236 

28,321 

364 

6,613 

19,846 



40,313 

2,146 

2,152 

276 

12,614 

42,381 

9,933 

241 
4,989 
17,788 

143 
1,116 
6,866 

52,056 

7,077 

37,839 

856 
91,000 

989 
22,050 
47,567 



71,669 
6,687 
13,318 
1,012 
22,375 
58,718 
19,780 

1,186 
7,679 

56,481 

390 

3,398 

59,038 

153,681 

30,124 

70,008 

1,645 

216,359 

1,497 

22,050 

47,567 



113,949 
11,308 
33,454 
1,743 
29,485 
69,998 
28,958 

3,212 

10,877 

104,082 

622 

8,170 

168,599 

173,512 

66.652 

103,970 

2,358 

374,275 

1,956 

22,050 

47,567 



5.8 
1.3 
.3 
.9 

7.5 

21.2 

5.0 

.3 
9.2 

.9 
1.3 
1.2 
(5) 

2.0 

.4 

6.5 

5.2 

3.3 

11.4 

30.0 

41.7 



15.1 

8.3 

2.0 

6.6 

27.4 

44.5 

18.3 

2.1 
18.4 

7.2 
4.4 
3.5 
1.1 

25.1 

3.1 

19.8 

19.0 

10.6 

31.1 

100.0 

100.0 



31.1 



28.2 
29.5 
41.7 
26.4 
55.8 
46.2 
62.6 
60.1 



29.4 
49.4 



45.2 



26.9 
25.9 
12.1 
24.2 
48.6 
61.7 
36.3 

10.3 
28.3 
22.8 
12.1 
10.6 
9.2 

74.1 
13.2 
36.7 
36.5 
25.3 
47.1 
100.0 
100.0 



4«.9 



45.6 
45.6 
60.3 
42.2 
69.7 
58.0 
75.3 
69.7 



45.8 
61.7 



58.4 



42.8 
43.7 
30.3 
41.6 
64.1 
73.5 
53.2 

27.9 
40.1 
42.1 
19.3 
25.4 
26.4 

83.7 
29.3 
54.5 
52.3 
43.7 
61.5 
100.0 
100.0 



'Includes suburban city and county law enforcement agencies within metropolitan areas. Excludes central cities. Suburban cities and counties are also included in other groups. 

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

'Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 

'Includes arson. 

'Less than one-tenth of 1 percent. 



226 



Table 61.— Suburban Area' Arrests, Distribudon by Sex, 1990 
(4,82 1 agencies; 1990 population 79.878,000) 



OfTense charged 



Number of persons arrested 



Total 



Male 



Female 



Percent 
male 



Percent 
female 



Percent distribution' 



Total 



Male 



Female 



TOTAL 

Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 

Violent crime* 

Property crime* 

Crime Index total' 

Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, possessing 

Vandalism 

Weapons; carrying, possessing, etc 

Prostitution and commercialized vice 

Sex offenses (except forcible rape and 

prostitution) 

Drag abuse violations 

Gambling 

Offenses against family and children 

Driving under the influence 

Liquor laws 

Drankenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traflic) 

Suspicion 

Curfew and loitering law violations 

Runaways 



3,881,771 



4,143 

9,593 

28,485 

116,455 

113,659 

434,061 

48,037 

5,609 



158,676 
601,366 



760,042 



266,485 
25,865 

110,344 

4.188 

46,022 

95,190 

54,421 

11,504 

27,148 

247,419 

3,220 

32,145 
638,951 

207,290 

227,454 

190,673 

4,510 

856,102 

3,181 

22,050 

47,567 



3,172.995 



708,776 



81.7 



I8J 



100.0 



3,710 

9,485 

26,182 

101,928 

104,493 

294,638 

42,987 

4,959 



433 

108 

2,303 

14,527 

9,166 

139,423 

5,050 

650 



89.5 
98.9 
91.9 
87.5 
91.9 
67.9 
89.5 
88.4 



10.5 

1.1 

8.1 

12.5 

8.1 

32.1 

10.5 

11.6 



.1 

.2 

.7 

3.0 

2.9 

11.2 

1.2 

.1 



141,305 
447,077 



17,371 
154,289 



89.1 

74.3 



10.9 
25.7 



4.1 
15.5 



588,382 



171,660 



77.4 



22.6 



19.6 



222,582 
16,783 
57,631 
2,559 
40,300 
85,736 
50,591 

5,719 

25,768 

205,850 

2,675 

28,038 
556,133 

167,622 

204,496 

156,949 

3,932 

711,074 

2,687 

16,002 

21,486 



43,903 
9,082 

52,713 
1,629 
5,722 
9,454 
3,830 

5.785 

1,380 
41,569 

545 

4,107 

82,818 

39,668 

22,958 

33,724 

578 

145,028 

494 

6,048 

26,081 



83.5 
64.9 
52.2 
61.1 
87.6 
90.1 
93.0 

49.7 

94.9 
83.2 
83.1 
87.2 
87.0 

80.9 
89.9 
82.3 
87.2 
83.1 
84.5 
72.6 
45.2 



16.5 
35.1 
47.8 
38.9 
12.4 
9.9 
7.0 

50.3 

5.1 
16.8 
16.9 
12.8 
13.0 

19.1 
10. 1 
17.7 
12.8 
16.9 
15.5 
27.4 
54.8 



6.9 

,7 
2.8 

.1 
1.2 
2.5 
1.4 



.7 

6.4 

.1 

.8 

16.5 

5.3 

5.9 

4.9 

.1 

22.1 

.1 

.6 

1.2 



100.0 



.1 

.3 
.8 
3.2 
3.3 
9.3 
1.4 
.2 



4.5 
14.1 



18.5 



7.0 
.5 
1.8 
.1 
1.3 
2.7 
1.6 



.8 

6.5 

.1 

.9 

17.5 

5.3 

6.4 

4.9 

.1 

22.4 
.1 
.5 

.7 



100.0 



.1 

(3) 
.3 
2.0 
1.3 
19.7 
.7 
.1 



2.5 
21.8 



24.2 



6.2 

1.3 

7.4 

.2 

.8 

1.3 

.5 



.2 

5.9 

.1 

.6 

11.7 

5.6 

3.2 

4.8 

.1 

20.5 

.1 

.9 

3.7 



'Includes suburban city and county law enforcement agencies within metropolitan areas. Excludes central cities. Suburban cities and counties are also included in other groupe. 

'Because of rounding, the percentages may not add to total. 

^Less than one-tenth of one percent. 

*Vjolent crimes arc offenses of murder, forcible rape, robbery, and aggravated assault. 

'Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 

'Includes arson. 



I 



227 



Table 62.— Suburban Area' Arrests, Distributioa by Race, 1990 

[4,766 agencies; 1990 population 79,577,000] 



Offense charged 



Total arrests 



Total 



White 



Black 



American 
Indian 



Alaskan 
Native 



Asian 

or 
Pacific 
Islander 



Percent distribution' 



Total 



White 



Black 



Amencan 
Indian 

or 
Alaskan 
Native 



Asian 



Pacific 
Islander 



TOTAL 



Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 



Violent crime' . 
Property crime* 



Crime Index total' 



Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, 

possessing 

Vandalism 

Weapons; carrying, possessing, etc. 



Prostitution and commercialized vice . 
Sex offenses (except forcible rape and 

prostitution) 

Drug abuse violations 

Gambling 

Offenses against family and children . 
Driving under the inftuence 



Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) .. 

Suspicion 

Curfew and loitering law violations 
Runaways 



3,828,703 



2,997,023 



799,567 



15,816 



16,297 



100.0 



78.3 



20.9 



4,098 

9,507 

28,348 

114,937 

112,171 

427,738 

47,804 

5,527 



1 56,890 
593,240 



750,130 



264,098 

25,006 

106,451 

4,088 

44,796 
93,511 
53,591 

11,489 

26,493 

241,979 

3,146 

31,577 
627,705 

205,329 

227,152 

189,150 

4,485 

846,753 

3,178 

21,878 

46,718 



2,512 

6,441 

12,849 

80,790 

85,797 

305,801 

32,844 

4,628 



1,522 

2,983 

15,262 

33,014 

25,386 

116,620 

14,407 

850 



31 

38 

97 

564 

460 

1,817 

220 

19 



33 

45 

140 

569 

528 

3,500 

333 

30 



100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



61.3 
67.8 
45.3 
70.3 
76.5 
71.5 
68.7 
83.7 



37.1 
31.4 
53.8 
28.7 
22.6 
27.3 
30.1 
15.4 



102,592 
429,070 



52,781 
157,263 



730 
2,516 



787 
4,391 



100.0 
100.0 



65.4 

72.3 



33.6 
26.5 



531,662 



210,044 



3,246 



5,178 



100.0 



70.9 



28.0 



195,804 
18,045 

75,834 
2,761 

30,075 
78,878 
37,894 

8,215 

22,662 

170,028 

2,002 

21,955 
581,707 

188,688 

197,001 

147,635 

3,164 

620,834 

2,493 

18,940 

40,746 



65,859 
6,757 

30,150 
1,296 

14,270 
13,944 
15,249 

3,155 

3,575 

70,930 

1,111 

9,440 

40,823 

15,038 

27,346 

40,197 

1,284 

220,273 

668 

2,775 

5,383 



1,276 
110 

237 
3 

162 
283 
162 

43 

120 

523 

3 

102 

2,294 

984 

2,154 

734 

14 

2.956 

6 

81 

323 



1,159 

94 

230 

28 

289 
406 
286 

76 

136 

498 

30 

80 

2,881 

619 

651 

584 

23 

2.690 

II 

82 

266 



100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 

100.0 

100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



74.1 
72.2 
71,2 
67.5 

67.1 
84.4 
70.7 

71.5 

85.5 
70.3 
63.6 
69.5 

92.7 

91.9 
86.7 
78.1 
70.5 
73.3 
78.4 
86.6 
87.2 



24.9 
27.0 
28.3 
31.7 

31.9 
14.9 
28.5 

27.5 

13.5 
29.3 
35.3 
29.9 
6.5 

7.3 
12.0 
21.3 
28.6 
26.0 
21.0 
12.7 
11.5 



.8 
.5 
.5 
.5 
.5 
.8 
.7 
.5 



.4 
.4 
.2 
.7 

.6 

.4 
.5 



.5 
.2 
1.0 
.3 

.5 

.3 
.3 
.3 
.5 
.3 
.3 
.4 
.6 



See footnotes at end of table. 



228 



Table 62. — Suburban Area' Arrests, Distribution by Race, 1990 — Continued 



OITense charged 



Arrests under 18 



Total 



White 



Black 



American 
Indian 



Alaskan 
Native 



Asian 

or 
Paciflc 
Islander 



Percent distribution' 



Total 



White 



Black 



American 

Indian 

or 

Alaskan 
Native 



Asian 

or 
Pacific 
Islander 



TOTAL 

Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 

Violent crime' 

Property crime* 

Crime Index total' 

Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, 

possessing 

Vandalism 

Weapons; carrying, possessing, etc. ... 

Prostitution and commercialized vice . 
Sex offenses (except forcible rape 

and prostitution) 

Drug abuse violations 

Gambling 

Offenses against family and children . 
Driving under the influence 

Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) 

Suspicion 

Curfew and loitering law violations ... 
Runaways 



615,410 



478 

1,510 

6.062 

15,579 

40,149 

133,006 

20,685 

2.758 



23,629 
196,598 



220,227 



40,007 

2,096 

2,080 

267 

12,258 

41,737 

9,839 

241 

4,833 

17,499 

143 

1,051 

6,789 

51.569 

7,057 

37,515 

856 
89,762 

988 
21,878 
46,718 



490,671 



117,982 



2,681 



4,076 



100.0 



79.7 



19.2 



244 

983 

2,550 

10,054 

32,676 

102,539 

14,211 

2,388 



228 

521 

3,440 

5,345 

6,992 

28,413 

6,164 

343 



1 

3 

24 

65 

175 

639 

114 

9 



5 

3 

48 

115 

306 

1,415 

196 

18 



100.0 
100.0 
100.0 
100.0 
100.0 
1 00.0 
100.0 
100.0 



51.0 
65.1 
42.1 
64.5 
81.4 
77.1 
68.7 
86.6 



47.7 
34.5 
56.7 
34.3 
17.4 
21.4 
29.8 
12.4 



13,831 
151,814 



9,534 
41,912 



93 

937 



171 
1,935 



100.0 
100.0 



58.5 

77.2 



40.3 
21.3 



165,645 



51,446 



1,030 



2,106 



100.0 



75.2 



23.4 



28,469 

1,783 

1,547 

171 

8,179 

36,429 

7,215 

158 

3,907 

11,506 

68 

872 

6.539 

49,459 

6,524 

29,111 

689 
71,933 

781 
18,940 
40,746 



11,151 

290 

517 

94 

3,908 
4,927 
2,509 

77 



5.906 

74 

172 

204 

1,700 
427 

8,092 

155 

17,089 

198 

2,775 

5,383 



147 
8 
3 



47 
140 
38 



19 

42 



240 


100.0 


15 


100.0 


13 


100.0 


2 


100.0 


124 


100.0 


241 


100.0 


77 


100.0 



100.0 



5 
32 

263 

81 

137 

2 

278 

2 

81 

323 



19 


100.0 


45 


100.0 


1 


100.0 


2 


100.0 


14 


100.0 


147 


100.0 


25 


100.0 


175 


100.0 


10 


100.0 


462 


100.0 


7 


100.0 


82 


100.0 


266 


100.0 



71.2 
85.1 
74.4 
64.0 

66.7 
87.3 
73.3 

65.6 

80.8 
65.8 
47.6 
83.0 
96.3 

95.9 
92.4 
77.6 
80.5 
80.1 
79.0 
86.6 
87.2 



27.9 
13.8 
24.9 
35.2 

31.9 
11.8 
25.5 

32.0 



.4 
.3 
.4 

1.2 



18.4 




33.8 




51 7 




16.4 




3.0 




3.3 




6.1 


1.1 


21.6 




18.1 




19.0 




20.0 




12.7 




11.5 





1.0 

.2 



.7 
1.0 



1.0 



.6 

.7 
.6 

.7 

1.0 
.6 



1.2 

.4 
.3 
.7 
.2 
.2 

.3 
.4 
.5 
1.2 
.5 
.7 
.4 
.6 



See footnotes at end of table. 



229 



Table 62. — Suburban Area' Arrests, Distribution by Race, 1990 — Continued 



OfTense charged 



Arrests 18 and over 



Total 



White 



Black 



American 

Indian 

or 

Alaskan 
Native 



Asian 

or 
Pacific 
Islander 



Percent distribution^ 



Total 



White 



Black 



American 

Indian 

or 

Alaskan 
Native 



Asian 

or 
Pacific 
Islander 



TOTAL 



Murder and nonnegligent manslaughter 

Forcible rape 

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 oflenses (except forcible rape 

and prostitution) 

Drug abuse violations 

Gambling 

Oftenses against family and children 
Driving under the influence 



Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) .. 

Suspicion 

Curfew and loitering law violations 
Runaways 



3,213,293 



3,620 

7.997 

22,286 

99,358 

72,022 

294,732 

27,119 

2,769 



133,261 
396,642 



529,903 



224,091 

22,910 

104,371 

3,821 

32,538 
51,774 
43,752 

11,248 

21,660 

224,480 

3,003 

30,526 
620,916 

153.760 
220,095 
151,635 

3,629 
756,991 

2.190 



2,506352 



681,585 



13,135 



12,221 



100.0 



78.0 



21.2 



2,268 

5,458 

10,299 

70,736 

53,121 

203,262 

18,633 

2,240 



1,294 

2,462 

11,822 

27,669 

18,394 

88,207 

8,243 

507 



30 

35 

73 

499 

285 

1,178 

106 

10 



28 

42 

92 

454 

222 

2,085 

137 

12 



100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



62.7 
68.3 
46.2 
71.2 
73.8 
69.0 
68.7 
80.9 



35.7 
30.8 
53.0 
27.8 
25.5 
29.9 
30.4 
18.3 



88,761 
277,256 



43,247 
115,351 



637 
1,579 



616 
2,456 



100.0 
100.0 



66.6 
69.9 



32.5 
29.1 



366,017 



158,598 



2,216 



3,072 



100.0 



69.1 



29.9 



167,335 

16,262 

74,287 

2,590 

21,896 
42,449 
30,679 

8,057 

18,755 

158,522 

1,934 

21,083 
575,168 

139,229 
190,477 
118,524 

2,475 
548,901 

1,712 



54,708 
6.467 

29,633 
1,202 

10,362 
9,017 
12,740 

3,078 

2,687 

65,024 

1,037 

9,268 

40,619 

13,338 

26,919 

32,105 

1,129 

203,184 

470 



1,129 

102 

234 

3 

115 
143 
124 

40 

101 

481 

3 

97 

2,262 

721 

2,073 

597 

12 

2,678 

4 



919 


100.0 


79 


100.0 


217 


100.0 


26 


100.0 


165 


100.0 


165 


100.0 


209 


100.0 



73 

117 

453 

29 

78 

2,867 

472 

626 

409 

13 

2,228 
4 



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 
71.0 
71.2 
67.8 

67.3 
82.0 
70.1 

71.6 

86.6 
70.6 
64.4 
69.1 
92.6 

90.5 
86.5 
78.2 
68.2 

72.5 
78.2 



24.4 
28.2 
28.4 
31.5 

31.8 
17.4 
29.1 

27.4 

12.4 
29.0 
34.5 
30.4 
6.5 

8.7 
12.2 
21.2 
31.1 
26.8 
21.5 



.5 
.2 
1.0 
.3 
.5 

.3 
.3 
.3 
.4 
.3 
.2 



'Includes suburban city and county law enforcement agencies within metropolitan areas. Excludes central cities. Suburban cities and counties are also included in other groups. 

'Because of rounding, the percentages may not add to total. 

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

'Property crimes are offenses of burglary, larccny-thef\, motor vehicle theft, and arson. 

'Includes arson. 



230 



Table 63.— Arrests by State, Crime Index Offenses, 1990 

[1990 population] 



Sutc 



Total' 

aU 
classes 



Crime' 
Index 
total 



Violent' 
crime 



Property^ 
cnme 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggravated 
assault 



Burglao' 



Larceny- 
theft 



Motor 

vehicle 

theft 



ALABAMA: 221 agencies; 
population 2,642,000: 

Under 18 

Total all ages 



ALASKA: 26 agencies; 
population 297,000: 

Under 18 

Total all ages 



ARIZONA: 78 agencies; 
population 3,505,000: 

Under 18 

Total all ages 



ARKANSAS: 175 agencies; 
population 2,256,000: 

Under 18 

Total all ages 



CAUFORNIA: 570 agencies; 
population 28,646,000: 

Under 18 

Total all ages 



COLORADO: 217 agencies; 
population 3,167,000: 

Under 18 

Total all ages 



CONNECnCUT: 90 

agencies; 

population 2,490,000: 

Under 18 

Total all ages 



DELAWARE: 54 agencies; 
population 665,000: 

Under 18 

Total all ages 



DISTRICT OF COLUMBU; 

I agency; 
population 607,000: 

Under 18 

Total all ages 



FLORIDA: 233 agencies; 
population 7,920,000: 

Under 18 

Total all ages 



GEORGLi' 

HAWAU: 5 agencies; 
population 1,108,000: 

Under 18 

Total all ages 



IDAHO: 88 agencies; 
population 979,000: 

Under 18 

Total all ages 



11,848 
149,889 



3,512 
21,808 



51,127 
239,721 



14,086 
147,105 



232,783 
1,843,613 



49,988 
240,980 



23,857 
179,559 



6,083 
41,663 



5,344 
55,688 



52,598 
493,396 



16,511 
63,879 



16,394 
49,966 



4,409 
22,300 



1,346 
3,563 



19,782 
59,585 



5,540 
21,671 



105,029 
437,930 



17,147 
47,048 



8,303 
41,348 



2,181 
7,986 



2,151 
11,494 



29,634 
130,395 



4,897 
12,593 



6,092 
11,579 



447 
5,058 



84 
829 



1,878 
9,448 



554 
4,608 



19,780 
142,921 



1,480 
8,737 



982 

8,257 



343 
1,987 



737 
4,315 



5,434 
35,604 



281 
1,503 



510 
2,043 



3,962 

17,242 



1,262 

2,734 



1 7,904 
50,137 



4,986 
17,063 



85,249 
295,009 



15,667 
38,311 



7,321 
33,091 



1,838 
5,999 



1,414 
7,179 



24,200 
94,791 



4,616 
11,090 



5,582 
9,536 



18 
299 



19 
200 



32 
258 



657 
3,825 



22 
152 



19 
132 



6 
31 



67 
295 



147 
924 



6 

47 



1 
26 



38 

347 



67 
364 



37 
392 



618 
4,705 



95 
600 



44 
385 



45 
231 



20 
129 



231 
1,605 



32 
216 



3 

84 



155 
938 



433 
1,641 



155 
735 



7,632 
31,403 



225 
840 



320 
1,885 



91 
396 



192 
1,416 



1.926 
9,089 



103 
401 



22 
59 



236 

3,474 



69 

720 



1,359 

7,243 



330 

3,223 



10,873 
102,988 



1,138 
7,145 



599 
5,855 



201 
1,329 



458 

2,475 



3,130 
23,986 



140 
839 



484 
1,874 



666 
2.696 



433 
709 



3,545 
7,857 



1,289 
3,378 



22,925 
77,527 



1,973 
4,355 



1,402 

5,771 



403 
1,125 



102 
1,064 



6,000 
21,407 



724 
1,578 



991 
1,825 



3,017 
13,581 



658 
1,597 



12,582 
39,289 



3,350 
12,939 



42,855 
167,331 



12,115 
31,133 



4,782 
24,563 



1.285 
4.543 



247 
3,236 



14,804 
63,770 



3,191 
8,048 



4,263 
7,265 



263 
888 



160 
308 



1,494 

2,577 



310 

621 



18,359 
47,988 



1,359 
2,505 



1,064 
2,512 



139 
302 



1,063 
2,844 



3,251 
9,153 



681 
1,419 



287 
394 



See footnotes at end of table. 



231 



Table 63.— Arrests by State, Crime Index Offenses, 1990— Continued 



State 



Tola]' 

all 
classes 



Crime^ 
Index 
total 



Violent' 
crime 



Property* 
crime 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggravated 
assault 



Burglary 



Larceny- 
theft 



Motor 

vehicle 

theft 



ILLINOIS: 516 agencies; 
population 7,683,000: 

Under 18 

Total all ages 



INDIANA: 116 agencies; 
population 3,169,000: 

Under 18 

Total all ages 

IOWA: 200 agencies; 
population 2,498,000: 

Under 18 

Total all ages 



KANSAS: 123 agencies; 
population 1,447,000: 

Under 18 

Total all ages 



KENTUCKY: 283 agencies; 
population 2,103,000: 

Under 18 

Total all ages 



LOUISIANA: 82 agencies; 
population 2,475,000: 

Under 18 

Total aU ages 



MAINE: 154 agencies; 
population 1,223,000: 

Under 18 

Total all ages 



MARYLAND: 144 agencies; 
population 4,647,000: 

Under 18 

Total all ages 



MASSACHUSETTS: 158 

agencies; population 
2,635,000: 

Under 18 

Total all ages 



MICHIGAN: 468 agencies; 
population 8,529,000: 

Under 18 

Total all ages 



MINNESOTA: 288 agencies; 
population 4,003,000: 

Under 18 

Total all ages 



MISSISSIPPI: 69 agencies; 
population 1,044,000: 

Under 18 

Total all ages 



MISSOURI: 179 agencies; 
population 3,556,000: 

Under 18 

Total all ages 



MONTANA: 59 agencies; 
population 624,000: 

Under 18 

Total all ages 



66,998 
290,912 



34,802 
148.989 



19,347 
105,782 



15,291 
80,501 



8,612 
137,548 



20,333 
130,408 



8,548 
53,061 



36,767 
260,265 



10,216 
88,132 



58,353 
413,425 



40,083 
152,140 



8,543 
70,659 



35,645 
256,172 



6,286 

24,572 



22,562 
66,159 



11,192 
29,160 



7,035 
23,380 



5,891 
15,717 



3,380 

17,523 



8,201 
34,173 



3,773 
10,377 



17,083 
59,758 



4,119 
22,103 



23,712 
83,947 



15,197 
33,691 



3,410 
13,977 



13,152 
53,758 



1,996 
5,384 



2,110 
10,520 



1,392 
6,059 



442 
2,379 



493 
6,482 



1,213 
9,158 



123 
1,189 



2,706 
13,396 



971 
6,977 



3,655 
23,365 



1,092 
4,324 



333 
2,311 



2,115 
13,988 



50 
395 



20,452 
55,639 



9,800 
23,101 



429 6,606 
4,533 18,847 



5,449 
13,338 



2,887 
11,041 



6,988 
25,015 



3,650 
9,188 



14,377 
46,362 



3,148 
15,126 



20,057 
60,582 



14,105 
29,367 



3,077 
11,666 



11,037 
39,770 



1,946 
4,989 



47 
273 



20 

174 



3 
44 



14 
66 



11 
206 



37 
326 



79 

575 



2 
48 



225 
1,932 



5 
84 



10 
123 



90 

478 



1 
33 



189 
938 



63 
250 



18 
103 



23 
165 



38 

352 



71 
485 



10 
92 



164 
1,007 



37 
428 



360 

2,221 



41 
370 



40 

222 



141 

748 



7 
54 



492 
1,662 



167 
689 



76 

375 



86 
329 



112 
730 



191 
1,167 



27 
139 



846 
3,914 



189 
1,070 



976 
5,532 



173 
575 



120 
530 



643 
2,886 



20 
45 



1,382 
7,647 



1,142 
4,946 



332 
4,011 



319 
1,819 



332 
5,194 



914 
7,180 



85 
930 



1,617 
7,900 



743 
5,431 



2,094 
13,680 



873 
3,295 



163 
1,436 



1,241 
9,876 



22 
263 



3,068 
7,119 



1,324 
2,917 



1,144 
2,914 



1,259 
2,616 



757 
2,728 



1,715 
5,566 



893 
1,952 



2,657 
10,504 



962 
3,928 



3.321 
11,493 



1,526 
3,713 



789 
2,446 



1,982 
6,803 



208 
582 



16,334 
46,346 



7,340 
18,118 



4,894 
14,980 



3,672 
9,767 



1,764 
7,266 



4,777 
18,141 



2,452 
6,596 



7,690 

28,247 



1,490 
9,390 



14,758 
44,280 



10,812 
22,697 



1,963 
8.410 



7,343 
29,231 



1,573 
4,087 



840 
1,750 



1,058 
1,902 



432 
696 



410 

792 



301 

877 



442 
1,121 



224 
516 



3,707 
7,057 



648 
1,667 



1,768 
4,089 



1,620 
2,696 



309 

728 



1,597 
3,389 



142 
268 



See footnotes at end of table. 



232 



Table 63.— Arrests by Sute, Crime Index Offenses, 1990— Continued 



Suit 



Total' 

aU 
classes 



Crime^ 
Index 
total 



Violent' 
crime 



Property* 
crime 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggravated 
assault 



Burglary 



Larceny- 
theft 



Motor 

vehicle 

theft 



NEBRASKA: 222 agencies; 
population 1,459,000: 

Under 18 

Total all ages 



NEVADA: 22 agencies; 
population 1,016,000: 

Under 18 

Total all ages 



NEW HAMPSHIRE' 

NEW JERSEY: 543 

agencies; population 
7,451,000: 

Under 18 

Total all ages 



NEW MEXICO: 51 
agencies; population 991,000: 

Under 18 

Total all ages 



NEW YORK: 568 agencies; 
population 15,883,000: 

Under 18 

Total all ages 



NORTH CAROUNA: 

agencies; population 
6,113,000: 

Under 18 

Total all ages 



383 



NORTH DAKOTA: 27 

agencies; population 379,000: 

Under 18 

Total all ages 



OHIO: 284 agencies; 
population 6,983,000: 

Under 18 

Total all ages 



OKLAHOMA: 279 agencies; 
population 3,144.000: 

Under 18 

Total all ages 



OREGON: 191 agencies; 
population 2,792,000: 

Under 18 

Total all ages 



PENNSYLVANIA: 602 

agencies: population 
5,762,000: 

Under 18 

Total all ages 



RHODE ISLAND: 42 

agencies; population 983,000: 

Under 18 

Total all ages 

See footnotes at end of table. 



13,944 
75,644 



12,285 
90,473 



87,290 
397,625 



12,736 
71,741 



130,958 
1,030,108 



36,268 
408,139 



5,562 
20,102 



66,923 
378,713 



26,193 
153,879 



32,533 
147,453 



44,654 
201,497 



9,586 
49,376 



5,122 
13,548 



3,609 
14,495 



24,447 
82,190 



4,976 
14,694 



44,405 
195,847 



14,566 
78,721 



1,799 
3,704 



19,533 
64,420 



11,680 
29,546 



11,833 
34,863 



12,328 
36,362 



2,882 
9,693 



197 
1,288 



234 
2,296 



5,119 
22,101 



449 
2,590 



14,715 
70,084 



2,344 
24,126 



38 
222 



2,215 
13,953 



1,201 
5,550 



697 
4,141 



1,247 
6,851 



417 
2,389 



4,925 
12,260 



3,375 
12,199 



19,328 
60,089 



4,527 
12,104 



29,690 

125,763 



12,222 
54,595 



1,761 
3,482 



17,318 
50,467 



10,479 
23,996 



11,136 
30,722 



11,081 
29,511 



2,465 
7,304 



15 
116 



47 
359 



49 



296 

1,781 



68 

717 



39 
515 



25 
267 



11 
108 



5 
124 



2 
40 



31 
216 



30 

214 



211 
1,218 



13 
112 



291 
2,230 



103 
802 



7 
39 



256 
1,325 



HI 

548 



66 
451 



98 
602 



14 
111 



65 
259 



59 
642 



1,966 

6,288 



66 
319 



9,416 
32,481 



435 
2,815 



829 
4,265 



302 
945 



276 
1,298 



255 
1,049 



104 

387 



96 

776 



130 

1,324 



2,895 

14,236 



362 
2,110 



4,712 
33,592 



1,738 
19,792 



24 
160 



1,091 
7,848 



763 
3,790 



344 
2,284 



889 
5,076 



297 
1,851 



601 

1,347 



795 
2,698 



4,267 
11,669 



600 
1,518 



4,893 
21,648 



3,553 
15,316 



146 
395 



3,075 
8,241 



2,261 
5,154 



1,851 
4,509 



2,596 
6,343 



538 
1,587 



4,051 
10,307 



2,382 
8,919 



12,872 
44,453 



3,707 
10,087 



19,083 
85,144 



7,748 
36,338 



1,469 

2,842 



11,546 

37,327 



6,015 
1 5,448 



7,882 
23,072 



7.098 
20,328 



1,544 
4,843 



212 

475 



185 

522 



1,891 
3,339 



194 
451 



5,353 
17,981 



783 
2,411 



129 

222 



2,444 
4,297 



2,008 
3,023 



1.161 
2,761 



1,243 
2.444 



321 

775 



233 



Table 63.— Arrests by State, Crime Index Offenses, 1990 — Continued 



State 



Total' 

aU 
classes 



Crime^ 
Index 

total 



Violent' 
crime 



Property* 
crime 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggravated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



SOUTH CAROUNA: 156 

agencies; population 
3,343,000: 

Under 18 

Total all ages 

SOUTH DAKOTA: 65 

agencies; population 391,000: 

Under 18 

Total all ages 

TENNESSEE: 116 agencies; 
population 2,047,000; 

Under 18 

Total all ages 

TEXAS: 751 agencies; 
population 16,391,000: 

Under 18 

Total all ages 

UTAH: 89 agencies; 
population 1,456,000: 

Under 18 

Total all ages 

VERMONT: 15 agencies; 
population 321,000: 

Under 18 

Total all ages 

VIRGINIA: 396 agencies; 
population 5,954,000: 

Under 18 

Total all ages 

WASHINGTON: 164 

agencies; population 
3,842,000: 

Under 18 

Total all ages 



WEST VIRGINU: 287 

agencies; population 
1,563,000: 

Under 18 

Total all ages 

WISCONSIN: 288 agencies; 
population 4,887,000: 

Under 18 

Total all ages 

WYOMING: 68 agencies; 
population 434,000: 

Under 18 

Total all ages 



19,527 
183,870 



6,059 
21,749 



21,212 
138,676 



154,844 
969,812 



31,332 
91,014 



739 
6,433 



38,980 
402,142 



37,900 
219,679 



6,445 
60,736 



99,529 
367,006 



5,088 
24,383 



8,178 
32,776 



1,616 

3,453 



5,799 
24,519 



58,009 
200,975 



13,111 
24,614 



355 
1,398 



13,550 
60,130 



17,855 
49,049 



2,402 
9,928 



28,667 
63,139 



1,441 
3,558 



931 

7,775 



53 
330 



670 
4,843 



6,138 
35,449 



748 
2,309 



21 
200 



1,163 

9,755 



1,187 
6,233 



137 
1,469 



1,695 

7,586 



67 
555 



7,247 
25,001 



1,563 
3,123 



5,129 
19,676 



51,871 
165,526 



12,363 
22,305 



334 
1,198 



12,387 
50,375 



16,668 
42,816 



2,265 
8,459 



26,972 
55,553 



1,374 
3,003 



29 
384 



39 
281 



261 
1,729 



4 
43 



64 
505 



18 

145 



7 
95 



68 
370 



90 
701 



7 
41 



94 

447 



298 

2,542 



46 
169 



1 

22 



100 
901 



159 

874 



19 

178 



139 

637 



5 
42 



177 
1,157 



4 
16 



198 

1,227 



2,069 
8,798 



84 
349 



381 

2,273 



241 
1,026 



24 
246 



622 
1,928 



27 



635 

5,533 



41 

265 



339 
2,888 



3,510 
22,380 



614 
1,748 



18 
165 



618 
6,076 



769 
4.188 



87 
950 



866 
4,651 



53 
475 



1,934 
5,716 



247 
490 



1,127 
3,528 



11,251 
31,118 



1,422 
2,396 



140 
434 



2,327 
7,958 



2,765 
5,955 



544 
1,659 



3,301 
6,560 



145 
380 



4,599 

17,756 



1,237 
2,486 



3,667 
15,276 



33,759 
117,873 



9,972 
18,521 



166 
683 



8,045 
38,082 



12,382 
34,393 



1,465 
6,153 



20,289 
43.615 



1,144 
2,439 



677 
1,324 



51 
110 



309 
705 



6,532 
15,458 



852 
1,234 



26 
51 



1,860 
3,879 



1,400 

2,225 



229 
545 



3,074 
4,898 



68 
149 



'Does not include trafTic arrests. 

^Includes arson. 

'Violent crime includes offenses of murder, forcible rape, robbery, and aggravated assault. 

'Property crime includes offenses of burglary, larceny-theft, motor vehicle theft, and arson. 

'Arrest data for 1990 were not available for the States of Georgia and New Hampshire. See page 173 for details. 

NOTE: Direct comparisons of arrest totals listed in this table should not be made with prior years' issues. 



234 



Table 64.— Police Disposition of Juvenile Offenders Taken into Custody, 1990 

[1990 population) 



Population group 



Total' 



Handled 

within 

department 

and released 



Referred to 

juvenile 

court 

jurisdiction 



Referred to 
welfare 
agency 



Referred to 

other police 

agency 



Referred to 
criminal or 
adult court 



TOTAL ALL AGENCIES: 7,4«1 agencies; population 138,848,000: 

Nnmber 

Percent' 



TOTAL CITIES: S,176 cities; population 94,337,000: 

Number 

Percent' 



Grolip 1 

34 cities, 250,000 and over, population 20,057,000: 

Number 

Percent' 



Groi/p II 

89 cities, 100,000 to 249,999; population 12,654,000: 

Number 

Percent' 



Group III 

246 cities, 50,000 to 99,999; population 16,735,000: 

Number 

Percent' 



Group IV 

456 cities, 25,000 to 49,999; population 15,893,000: 

Number 

Percent' 



Group V 

1.022 cities, 10,000 to 24.999; population 16,270,000: 

Number 

Percent' 



Group VI 

3,329 cities under 10,000; population 12,728,000: 

Number 

Percent' 



Suburban Counties 



706 agencies; population 26,983,000: 

Number 

Percent' 



Rural Counties 



1,579 agencies; population 17,528,000: 

Number 

Percent' 



Suburban Area' 



3.672 agencies; population 69,631,000: 

Number 

Percent' 



,114,310 
100.0 



948,413 
100.0 



196,055 
100.0 



119,400 
100.0 



173,374 
100.0 



160,579 
100.0 



167,955 
100.0 



131,050 
100.0 



111,503 
100.0 



54.394 
100.0 



507,498 
100.0 



315,316 
28.3 



718,188 
64.5 



17,955 
1.6 



278,577 
29.4 



604,558 
63.7 



14,291 
1.5 



49.548 
25.3 



37,043 
31.0 



57,914 
33.4 



49,939 
31.1 



48,999 

29.2 



35,134 
26.8 



25,236 
22.6 



11,503 
21.1 



164,941 
32.5 



142,232 

72.5 



76,922 
64.4 



100,130 
57.8 



100.470 
62.6 



104,230 
62.1 



80,574 
61.5 



77,391 
69.4 



36,239 
66.6 



299,697 
59.1 



1,307 

.7 



2,191 
l.g 



3,584 
2.1 



2,178 
1.4 



2,929 
1.7 



2,102 
1.6 



1,692 
1.5 



1.972 
3.6 



7,509 
1.5 



12,401 



10,141 
1.1 



1,788 
.9 



780 

.7 



2,456 
1.4 



1,951 

1.2 



1.942 
1.2 



1,224 
.9 



1.336 
1.2 



924 

1.7 



6.039 

1.2 



' 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 areas. Excludes central cities. 



Suburban cities and counties are included in other groups. 



235 




Slaiu ^nfovtvmmt (Sioht of iEtl|trB 

Kb a ?iam lEnfnrr^mf itt ®f firrr, my funJ^menuNui^ u u 

stmt manhina; to iafequara tiuti ana property; to protect the innocent against 
Jtception, Ike weak aaainit oppression or tnlimiaalion, and lite peaceful 
aaainst violence or disorder; and to respect the L^onslitulionat rights of all 
men to tioert^, etfuatit^ and justice. 



lain cou ra- 



it tUtli beep mu private life unsullied as an example to all; mainla 
atous calm in Ike face of danaer, Scorn, or ridicule; develop self -restraint; and 
be constanllu mindful of Ine welfare of otkers. ^J^onesl in Ikouqhl and deed 
in oolk mu personal and Off iciat life, ^ wilt be exemplary in ooe^inq Ike laws 
Of Ike land and ike reaulations of mu department. VUkatever Jf see or kear of 
a confidential nature or tkat is confided to me in my official capacity will he 
kepi ever secret unless revelation is necessary in tke performance of m^ dul^. 

11 Ultll never act officiouslu or permit personal feelings, prejudices, animos- 
ities or frienaskips to influence mu decisions. lA/itk no compromise for crime 
and witk relentless prosecution of criminals, jf will enforce Ike law courteously 
and approprialelu witkout fear or j-avor, malice or ill wilt, never emploifinq 
unnecessary force or violenct and never accepting gratuities. 

It rPrO0tllZP tke bad^e of'inu office as a si^mbol of public failk, and 
jf accept it as a public trust to be keld so lonq as jf am true to Ike elkics of 
tke police service, .jf will constanllu strive to ackieve Ikese objectives and ideals, 
dedicating mu self before \-fod to mu ckosen profession . . . law enforcement. 



236 



SECTION V 
LAW ENFORCEMENT PERSONNEL 



The Nation's law enforcement community employed an 
average of 2.2 full-time ofiicers for every 1,000 inhabitants 
as of October 31, 1990. Considering full-time civilians, the 
overall law enforcement employee rate was 3.1 per 1,000 
inhabitants according to 12,401 city, county, and state 
police agencies reporting in 1990. These agencies collec- 
tively offered law enforcement service to a population of 
over 233 million, employing 523,262 officers and 190,998 
civilians. 

Varying demographic and other jurisdictional character- 
istics greatly affect the requirements for law enforcement 
service from one locale to another. The needs of a 
community having a highly mobile or seasonal population, 
for example, may be very different from those of a city 
whose population is relatively stable. Similarly, a small 
community situated between two large cities may require a 
greater number of law enforcement personnel than a 
community of the same size which has no urban centers 
nearby. 

The functions of law enforcement are also significantly 
diverse throughout the Nation. In certain areas, sheriffs' 
responsibilities are limited almost exclusively to civil 
functions and/or the administration of the county jail 
facilities. Likewise, the responsibilities of state police and 
highway patrol agencies vary from one jurisdiction to 
another. 

In view of these differing service requirements and 
responsibilities, care should be used when attempting any 
comparison of law enforcement employee rates. The rates 
presented in the following tables represent national 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 1990 was 2.8 per 1,000 inhabitants. By 
population grouping, city law enforcement employee aver- 
ages were lowest in those with populations from 25,000 to 
49,999, 2.2 per 1,000 inhabitants. The Nation's smallest 
cities, those with fewer than 10,000 inhabitants, employed 
3.2 employees per 1 ,000 population, while for the largest 
cities (over 250,000 population) the rate was 3.7 per 1,000. 



Rural and suburban counties averaged full-time law 
enforcement employee rates of 3.8 and 3.4 per 1,000 
population, respectively. 

Regionally, the highest law enforcement employee rate 
was in the South with 3.1. The Northeast averaged 3.0; the 
Midwest, 2.6; and the West, 2.5. 

Sworn Personnel 

Rates based solely on sworn law enforcement personnel 
(excluding civilians) showed the national average for all 
cities was 2.2 officers per 1,000 inhabitants. By population 
grouping, the rates ranged from 1.7 for cities with popula- 
tions of 25,000 to 99,999 to 2.8 in cities with 250,000 or 
more inhabitants. Suburban county law enforcement agen- 
cies averaged 2.2 officers per 1,000 population, while 
agencies in rural counties averaged 2.6. 

Geographically, the highest rate of officers to population 
was recorded in the Northeastern and Southern States 
where there were 2.4 officers per 1,000 inhabitants. Fol- 
lowing were the Midwestern States with 2.1 and the 
Western States with 1.8. 

Males comprised 91 percent of all sworn employees 
nationally. Ninety-four percent of the officers in rural 
counties, 92 percent of those in cities, and 89 percent of 
those in suburban counties were males. 

Civilian Employees 

Civilians made up 27 percent of the total United States 
law enforcement employee force in 1 990. 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-five law enforcement officers were feloniously 
slain in the line of duty during 1990. The 1990 total was 
the lowest since the FBI started collecting such data in the 
1960s. Accidents occurring while performing official duties 
claimed the lives of an additional 67 officers in 1990. 

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. 



237 



Table 65. — Full-time Law Enforcement Employees', Number and Rate per 1,000 Inhabitants, Geographic Region and Division by Population Group, 
October 31, 1990 



[1990 population] 



Geographic region/division 



Total 

(9,507 cities; 

population 

156,000,000) 



Population group 



Group 1 
(62 cities, 

250,000 
and over; 
population 
43,660,000) 



Group II 
(127 cities, 
100,000 to 

249,999; 
population 
18,633,000) 



Group III 
(321 cities, 

50,000 to 

99,999; 

population 

21,936,000) 



Group IV 
(661 cities, 

25,000 to 

49.999; 

population 

22,848,000) 



Group V 

(1,614 cities, 

10,000 to 

24,999; 

population 

25,396,000) 



Group VI 

(6,722 cities 

under 

10,000; 

population 

23,526,000) 



TOTAL: 9,507 cities; population 156,000,000: 

Number of employees 

Average number of employees per 1,000 inhabitants 



New England: 663 cities; population 11,073,000: 

Number of employees 

Average number of employees per 1 ,000 inhabitants . 
Middle Atlantic: 1,801 cities; population 29,391,000: 

Number of employees 

Average number of employees per 1,000 inhabitants . 
Northeast 2,464 cities; population 40,464,000: 

Number of employees 

Average nimiber of employees per 1,000 inhabitants ... 
East North Central: 1,782 cities; population 28,337,000: 

Number of employees 

Average number of employees per 1,000 inhabitants . 
West North Central: 784 cities; population 10,634,000: 

Number of employees 

Average number of employees per 1 ,000 inhabitants . 
Midwest: 2,566 cities; population 38,970,000: 

Number of employees 

Average number of employees per 1,000 inhabitants . . . 
South Atlantic: 1,548 cities; population 17,913,000: 

Number of employees 

Average number of employees per 1 ,000 inhabitants . 
East South Central: 712 cities; population 7,647,000: 

Number of employees 

Average number of employees per 1 ,000 inhabitants . 
West South Central: 980 cities; population 17,195,000: 

Number of employees 

Average number of employees per 1 ,000 inhabitants . 
Soutii: 3,240 cities; population 42,754,000: 

Number of employees 

Average number of employees per 1,000 inhabitants . . . 
Mountain: 511 cities; population 9,268,0(X): 

Number of employees 

Average number of employees per 1,000 inhabitants . 
Pacific: 726 cities; population 24,544.000: 

Number of employees 

Average number of employees per 1,000 inhabitants . 
West 1,237 cities; population 33,812,000: 

Number of employees 

Average number of employees per 1,000 Inhabitants . . . 



438,799 
2.8 



28,058 

2.5 

92,979 
3.2 

121,037 
3.0 

76,786 
2.7 

24,218 
2.3 

101,004 
2.6 

66,435 

3.7 

21,903 
2.9 

45,557 
2.6 

133,895 
3.1 

23.472 
2.5 

59,391 
2.4 

82,863 
2.5 



161,127 

3.7 



2,662 
4.6 

47,570 
4.8 

50,232 
4.8 

29,553 
4.4 

6,953 
3.3 

36,506 
4.1 

18,081 
4.5 

4,858 
3.0 

17,503 
2.8 

40,442 
3.4 

9,378 
2.7 

24,569 
2.8 

33,947 
2.8 



45,542 
2.4 



49,432 
2J 



50,440 
2.2 



3,553 
3.4 

4,706 
3.2 

8,259 
3J 

5,442 

2.3 

2,539 

2.1 

7,981 
2.2 

9,329 
3.0 

3,331 
2.6 

4,679 

2.2 

17,339 

2.7 

2,783 
2.3 

9,180 
1.9 

11,963 
2.0 



5,674 
2.4 

7,226 
2.4 

12,900 
2.4 

8,611 

2.1 

2,201 
1.6 

10,812 
1.9 

8,092 
3.3 

800 

2.6 

5,252 
2.3 

14,144 

2.8 

2,748 
1.8 

8,828 
2.0 

11,576 
1.9 



5,580 

2.2 

9.918 
2^4 

15,498 
2J 

9,419 
1.9 

2,804 

1.7 

12,223 
1.9 

7,323 
3.0 

2,685 

2.5 

3,460 

2.1 

13,468 
2.6 

2,324 
2.2 

6,927 
2.0 

9,251 
2.1 



57,157 
2.3 



6,103 
2.1 

11,885 
2.1 

17,988 
2.1 

11,659 
2.1 

4,352 
2.0 

16,011 
2.0 

8,034 
3.2 

3,976 
2.6 

5,641 

2.3 

17,651 

2.7 

1,978 
2.3 

3,529 

2.2 

5,507 
2.2 



75,101 
3.2 



4,486 
2.6 

11,674 

2.2 

16,160 
23 

12,102 

2.7 

5,369 
2.5 

17,471 

2.7 

15,576 
4.8 

6,253 
3.5 

9,022 
3.8 

30,851 
4.1 

4,261 
3.6 

6,358 
4.6 

10,619 
4.1 



Suburban and County 



Suburban': 5,663 agencies; population 95,169,000: 

Number of employees 

Average number of employees per 1,000 inhabitants 



281,430 
3.0 



County: 2,894 agencies; population 77,212,000: 

Number of employees 

Average number of employees per 1,000 inhabitants 



275,461 
3.6 



'Includes civilians. 

'Includes suburban city and county law enforcement agencies within metropolitan areas. Excludes central cities. Suburban cities and counties are also mcluded in other groups. Population 
figures were rounded to the nearest thousand. All rates were calculated before rounding. 



238 



Table 66. — FuU-time Law Enforcement Officers, Number and Rate per 1,000 Inhabitants, Geographic Region and Division by Population Group, 
October 31, 1990 



[1990 population] 



Geographic regioo/division 



Total 

(9,507 cities; 

population 

156,000,000) 



Population group 



Group I 

(62 cities, 
250,000 
and over, 
population 
43,660,000) 



Group 11 
(127 cities, 
100,000 to 

249,999; 
population 
18,633,000) 



Group 111 
(321 cities, 

50,000 to 

99,999; 

population 

21,936,000) 



Group IV 
(661 cities, 
25,000 to 

49,999; 
population 
22,848,000) 



Group V 

(1,614 cities, 

10,000 to 

24,999; 

population 

25.396,000) 



Group VI 

(6,722 cities 

under 

10,000; 

population 

23,526,000) 



TOTAL: 9,507 cities; popularion 156.000,000: 

Niunber of officers 

Average number of officers per 1,000 inhabitants 



New England: 663 cities; population 11,073,0(X): 

Number of olTicers 

Average number of ofTicers per 1 ,000 inhabitants 

Middle Atlantic: 1,801 cities; population 29,391.000: 

Number of ofTicers 

Average number of ofTicers per 1 ,000 inhabitants 

Northeast: 2,464 cities; population 40,464,000: 

Number of officers 

Average number of officers per 1,000 inhabitants 

East North Central: 1,782 cities; population 28,337.000: 

Number of officers 

Average number of officers per 1 ,000 inhabitants 

West North Central: 784 cities; population 10.634,000: 

Number of officers 

Average number of officers per 1 ,000 itihabitants 

Midwest 2,566 dties; population 38,970,000: 

Number of officers 

Average number of officers per 1,000 inhabitants 

South Atlantic: 1,548 cities; population 17,913,000: 

Number of officers 

Average number of officers per 1,000 inhabitants 

East South Central: 712 cities; population 7,647.000: 

Number of officers 

Average number of officers per 1 .000 inhabitants 

West South Central: 980 cities; population 17.195.000: 

Number of officers 

Average number of officers per 1 ,000 inhabitants 

South: 3,240 cities; population 42.754,000: 

Number of officers 

Average number of officers per 1,000 inhabitants 

Mountain: 5 1 1 cities; population 9.268.000: 

Number of officers 

Average number of officers per 1 ,000 inhabitants 

Pacific: 726 cities; population 24,544.000: 

Number of officers 

Average number of officers per 1 ,000 inhabitants 

West 1,237 cities; population 33,812,000: 

Number of officers 

Average number of officers per 1,000 inhabitants 



341,387 
2.2 



23,333 
2.1 

75.181 
2.6 

98,514 

2.4 

61.813 

2.2 

18.840 
1.8 

80,653 
2.1 

51.539 
2.9 

16.937 
2.2 

34,277 
2.0 

102,753 
2.4 

17,107 
1.8 

42,360 
1.7 

59,467 
1.8 



124,390 
2.8 



1.979 
3.4 

36.741 
3.7 

38,720 

3.7 

24.155 
3.6 

5.125 
2.4 

29,280 
3.3 

14.384 
3.5 

3.745 
2.3 

13,237 
2.1 

31,366 
2.6 

6.796 
2.0 

18.228 
2.1 

25,024 
2.0 



34,773 
1.9 



38,115 

1.7 



39,783 
1.7 



2.938 
2.8 

4.015 
2.7 

6,953 

2.7 

4.419 
1.8 

1.921 
1.6 

6,340 
1.7 

7.007 
2.2 

2.498 
1.9 

3.722 
1.8 

13,227 
2.0 

2,011 
1.7 

6.242 
1.3 

8,253 
1.4 



4.873 
2.1 

6.065 
2.0 

10,938 
2.0 

6.882 
1.6 

1,772 
1.3 

8.654 
1.6 

5.995 

2.4 

630 
2.0 

3.943 
1.7 

10,568 
2.1 

2.014 
1.3 

5.941 
1.3 

7,955 
1.3 



4.825 
1.9 

8.310 
2.0 

13,135 
2.0 

7.411 
1.5 

2,187 
1.3 

9,598 
1.5 

5.682 
2.3 

2,089 
2.0 

2,635 
1.6 

10,406 
2.0 

1.719 
1.6 

4.925 
1.4 

6,644 
1.5 



46,000 
1.8 



5.158 
1.8 

10.198 
1.8 

15356 
1.8 

9.330 
1.6 

3.449 
1.6 

12,779 
1.6 

6.253 

2.5 

.3.186 
2.1 

4.404 
1.8 

13,843 
2.1 

1.447 
1.7 

2.575 
1.6 

4,022 
1.6 



58,326 
2S 



3,560 
2.1 

9,852 
1.9 

13,412 
1.9 

9,616 
2.2 

4,386 
2.1 

14,002 
2.1 

12,218 

3.7 

4.789 
2.7 

6,336 

2.7 

23,343 
3.1 

3.120 
2.6 

4.449 
3.2 

7,569 
2.9 



Suburban and County 



Suburban': 5.663 agencies; population 95.169.000: 

Number of officers 

Average number of officers per 1 ,000 inhabitants 



200.612 
2.1 



County: 2.894 agencies; population 77,212.000: 

Number of officers 

Average number of officers per 1,000 inhabitants 



181.875 
2.4 



'Includes suburban city and county law enforcement agencies within metropohtan 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. 



239 



Table 67. — Full-time Law Enforcement Employees, October 31, 1990 

(Range in rate per 1,000 inhabitants) 



Rate range 




Total' 

(9,018 cities; 

population 

1 56,000,000) 


Group 1 (62 

cities, 250.000 

and over; 

population 

43,660,000) 


Group 11 (127 

cities, 100,000 

to 249,999; 

population 

18,633,000) 


Group 111 (321 

cities, 50,000 

to 99,999; 

population 

21,936,000) 


Group IV (661 

cities, 25,000 

to 49,999; 

population 

22,848,000) 


Group V (1,614 

cities, 10,000 

to 24,999; 

population 

25.396,000) 


Group VI 

(6,233 cities 

under 10,000; 

population 

23,526,000) 


.1-.5 


Number 
Percent 


148 
1.6 






1 
.3 


.2 


9 
.6 


137 






2.2 


6-1 


Number 
Percent 


538 
6.0 






4 
1.2 


16 

2.4 


65 
4.0 


453 








7.3 


1 1-1 5 


Number 
Percent 

Number 
Percent 


1,141 
12.7 

1,887 
20.9 




6 
4.7 

43 
33.9 


32 
10.0 

116 
36.1 


89 
13.5 

216 

32.7 


173 
10.7 

443 

27.4 


841 






13.5 


1.6-2.0 


10 
16.1 


1,059 

17.0 


2.1-2.5 


Number 
Percent 


1,743 
19.3 


12 
19.4 


33 
26.0 


85 
26.5 


180 

27.2 


453 
28.1 


980 
15.7 


2.6-3.0 


Number 
Percent 


1,240 
13.7 


12 
19.4 


22 
17.3 


47 
14.6 


90 

13.6 


245 
15.2 


824 
13.2 


3.1-3.5 


Number 
Percent 


776 
8.6 


11 

17.7 


15 
11.8 


18 
5.6 


33 
5.0 


124 

7.7 


575 
9.2 


3.6-4.0 


Number 
Percent 


456 
5.1 


5 

8.1 


3 
2.4 


8 
2.5 


20 
3.0 


58 
3.6 


362 
5.8 


4.1-4.5 


Number 
Percent 


283 
3.1 


3 
4.8 


3 
2.4 


4 
1.2 


8 
1.2 


24 
1.5 


241 
3.9 


4.6-5.0 


Number 
Percent 


231 

2.6 


6 

9.7 


2 
1.6 


5 

1.6 


5 
.8 


7 
.4 


206 
3.3 


5.1 and over 


Number 
Percent 


575 
6.4 


3 
4.8 




1 
.3 


3 
.5 


13 
.8 


555 




8.9 


Total 
Percent^ 




9,018 
100.0 


62 

100.0 


127 

100.0 


321 

100.0 


661 
100.0 


1,614 
100.0 


6,233 
100.0 



'The number of agencies used to compile these figures differs from the other Law Enforcement Employee tables because small agencies with no resident population are excluded from this 
e. 
'Because of rounding, percentages may not add to totals. 



240 



Table 68.— Law Enforcement Officers, October 31, 1990 

[Range in rate per 1,000 inhabitants] 



Rate range 




Total' 

(9.018 cities; 

population 

156,000,000) 


Group I (62 

cities. 250,000 

and over; 

population 

43,660,000) 


Group II (127 

cities, 100.000 

to 249,999; 

population 

18,633,000) 


Group III (321 

cities, 50,000 

to 99,999; 

population 

21,936,000) 


Group IV (661 

cities, 25,000 

to 49,999; 

population 

22,848,000) 


Group V (1,614 

cities, 10,000 

to 24,999; 

population 

25,396,000) 


Group VI 

(6.233 cities 

under 10,000; 

population 

23,526,000) 


.I-.5 


Number 
Percent 


171 
1.9 






1 
.3 


4 
.6 


14 
.9 


152 








2.4 


6-1 


Number 
Percent 


747 
8.3 




3 
2.4 


17 
5.3 


47 
7.1 


106 
6.6 


574 






92 


1.I-I.5 


Number 
Percent 


2,115 
23.5 


10 
16,1 


46 
36.2 


127 
39.6 


231 
34.9 


466 
28.9 


1,235 
19.8 


1.6-2.0 


Number 
Percent 


2,406 
26.7 


19 
30.6 


43 
33.9 


101 
31.5 


220 
33.3 


545 
33.8 


1,478 
23.7 


2.1-2.3 


Number 
Percent 


1,463 
16.2 


11 

17.7 


16 
12.6 


46 
14.3 


103 
15.6 


294 
18.2 


993 
15.9 


2.6-3.0 


Number 
Percent 


824 
9.1 


9 
14.5 


13 
10.2 


18 
5.6 


38 
5.7 


120 
7.4 


626 
10.0 


3.1-3.5 


Number 
Percent 


456 

5.1 


4 
6.5 


5 
3.9 


9 

2.8 


12 

1.8 


47 
2.9 


379 
6.1 


3.6-4.0 


Number 
Percent 


263 
2.9 


5 

8.1 


1 
.8 


I 
.3 


4 
.6 


13 
,8 


239 
3.8 


4.1-4.5 


Number 
Percent 


147 
1.6 


3 
4.8 




1 
.3 


1 
.2 


4 
.2 


138 






2.2 


4.6-5.0 


Number 
Percent 

Number 
Percent 


109 

1.2 

317 
3.5 

9,018 
100.0 

- 










5 
.3 


104 












1 7 


5.1 and over 


I 
1.6 

62 
100.0 






1 

.2 

661 
lOO.O 


315 










5 1 


Total 
Percent' 


127 
100.0 


321 
100.0 


1,614 
100.0 


6,233 
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. 



241 



Table 69. — Law Enforcement Employees, Percent Male and Female, October 31, 1990 

[1990 population] 



Population group 



Total police employees 



Total 



Percent 

male 



Percent 
female 



Police officers (sworn) 



Total 



Percent 
male 



Percent 
female 



Civilian employees 



Total 



Percent 
male 



Percent 
female 



TOTAL AGENCIES: 12,401 agencies; 

popaUtioii 233,212.000; 

TOTAL CITIES: 9,507 ddes; 

population 156,000,000: 



714,2«0 
438,799 



76.4 

77.8 



23.6 

22.2 



523,262 
341387 



91.4 
91.7 



8.6 
8J 



190,998 
97,412 



35.4 
29.0 



64.6 
71.0 



GROUP 1 
62 cities, 250,000 and over, 

population 43.660.000: 

7 cities, 1.000,000 and over, 

population 18,843,000: 

16 cities, 500,000 to 999,999; 

population 10,840,000: 

39 cities, 250,000 to 499,999; 
population 13,977,000: 

GROUP II 

127 cities, 100,000 to 249,999; 
population 18,633,000: 



GROUP III 

321 cities, 50,000 to 99.999; 
population 2 1 ,936,000: 



GROUP IV 

661 cities, 25,000 to 49,999; 
population 22,848,000: 

GROUP V 
1,614 cities, 10,000 to 24,999; 
population 25,396,000: 

GROUP VI 

6,722 cities under 10,000; 

population 23,526,000: 

SUBURBAN COUNTIES 
679 agencies; population 47,300,000: . 

RURAL COUNTIES 
2j2^agenci2^population29^1L000: 



161,127 
84,607 
36,738 
39,782 

45,542 

49,432 

50,440 

57,157 

75,101 

160,890 

JJ4j571_ 



74.4 
73.1 
77.0 
74.9 

76.3 

78.3 



81.5 

81.2 
72.9 
76.1 



25.6 
26.9 
23.0 
25.1 

23.7 

21.7 



18.5 

18.8 
27.1 
23.9 



124,390 
65,283 
28,629 
30,478 

34,773 

38,115 

39,783 

46,000 

58,326 
105,412 
76,463 



87.4 
86.2 
88.7 
88.9 

91.8 

93.8 



95.2 



94.5 



93.7 



12.6 
13.8 
11.3 
III 

8.2 



5.1 

4.8 

5.5 
11.3 
6.3 



36,737 
19,324 
8,109 
9,304 

10,769 



10,657 

11,157 

16,775 
55,478 
38,108 



30.3 

28.7 
35.7 
29.0 

26.6 



25.5 

25.1 

34.6 
42.9 
40.8 



69.7 
71.3 
64.3 
71.0 

73.4 

73.8 

74.5 

74.9 

65.4 
57.1 
59.2 



SUBURBAN AREA' 
5,663 agencies; population 95,169,000: 



281,430 



76.5 



23.5 



200,612 



91.6 



8.4 



80,818 



39.1 



60.9 



'Includes suburban city and county law enforcement agencies within metropolitan areas. Excludes central cities. Suburban cities and counties are also included in other groups. 
Table 70. — Civilian Law Enforcement Employees, Percent of Total, Population Group, October 31, 1990 
[1990 population] 



Population group 


Percent 

civilian 

employees 


Population group 


Percent 

civilian 

employees 


TOTAL AGENCIES: 12,401 agencies; 

population 233,212,000: 


26.7 
22.2 


GROUP IV 

661 cities, 25,000 to 49,999; 

population 22,848,000: 




TOTAL CITIES: 9,507 cities; 


21,1 


population 156,000,000: 


GROUP V 

1,614 cities, 10,000 to 24,999; 

population 25 396,000: 








GROUP I 

62 cities, 250 000 and over 


22.8 
22.8 
22.1 
23.4 

23.6 
22.9 


19.5 


population 43,660,000: 


GROUP VI 

6,722 cities under 10,000; 

population 23 526 000" 




7 cities, 1,000,000 and over, 

population 1 8,843,000: 




16 cities, 500,000 to 999,999; 
population 10,840 000' 


22.3 


39 cities, 250,000 to 499,999; 

population 1 3,977,000: 


SUBURBAN COUNTIES 

679 agencies; 

DODulation 47 300 000' 




GROUP II 


34.5 


127 cities, 100,000 to 249,999; 

population 1 8,633,000: 


RURAL COUNTIES 

2,215 agencies; 

population 29,9 1 1 ,000: 




GROUP 111 


33.3 


321 cities, 50,000 to 99,999; 

population 2 1 ,936,000: 


SUBURBAN AREA' 

5,663 agencies; 

population 95,1 69,000: 






28.7 









'Includes suburban city and county law enforcement agencies within metropolitan areas. Excludes central cities. Suburban cities and counties are also included in other groups. 



242 



Table 71. — FuU-tiine State Law Enforcement Employees, October 31, 1990 



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 



Total' 



ALABAMA: 

Department of Public 
Safety 

Other state agencies 
ALASKA: 

State Police 

ARIZONA: 

Department of Public 

Safety 

ARKANSAS: 

State Police 

CALIFORNIA: 

Highway Patrol 

Other state agencies 
COLORADO: 

Sute Patrol 

CONNECTICUT: 

State Police 



DELAWARE: 

State Police 

FLORIDA: 

Highway Patrol 

Other state agencies 
GEORGIA: 

Department of Public 

Safety 

IDAHO: 

State Police 

Other state agencies 
ILLINOIS: 

Sute Police 

Other state agencies 
INDIANA: 

State Police 

IOWA: 

Department of Public 

Safety 

KANSAS: 

Highway Patrol 

Other state agencies 
KENTUCKY: 

State Police 

Other state agencies 
LOUISIANA; 

State Police 

Other state agencies 
MAINE: 

State Police 

Other state agencies 
MARYLAND; 

State Police 

Other state agencies 
MASSACHUSETTS' 
MICHIGAN: 

State Police 



MINNESOTA: 

Sute Patrol 

MISSISSIPPI: 

Highway Safety Patrol 
MISSOURI: 

Sute Highway Patrol 



105,790 



61,167 



3,905 



18,852 



20,975 



1,300 
4,199 

540 

1,694 

677 

8,610 
408 

691 

1,595 

687 

2,174 
2,390 

1,692 

199 
144 

3,799 
220 

1,774 

831 

785 
173 

1,630 

679 

1,016 
984 

486 
128 

2,378 
1.440 

3,197 
751 
876 

1,841 



671 
466 

349 

946 

467 

5,618 
298 

461 

1,024 

486 

1,511 
1,141 

765 

161 
96 

2,187 
163 

1,047 

548 

547 
68 

922 
344 

755 
575 

337 
31 

1,585 
720 

2,072 
505 
504 
880 



8 
65 

22 

40 

17 

511 

37 

15 

57 

31 

138 
95 



153 
12 



44 



26 



17 
83 



16 
148 



119 
131 



183 
19 



17 



218 
2,473 



41 



254 



586 
19 



302 



109 



310 
373 



403 
1,195 



128 



MONTANA: 

Highway Patrol 

Other state agencies 
NEBRASKA: 

State Patrol 

NEVADA: 

Highway Patrol 

NEW HAMPSHIRE: 

State Police 



346 

72 


362 
121 


,032 


1,449 


25 


48 


80 


135 


229 


285 


69 


101 


173 


352 


394 


760 



NEW JERSEY: 

State Patrol 

Other state agencies 
NEW MEXICO: 

State Police 

Other state agencies' 
NEW YORK: 

State Police 



655 



873 
26 



381 



148 



NORTH CAROLINA: 

Highway Patrol 

Other state agencies 
NORTH DAKOTA; 

Highway Patrol 

OHIO: 

State Highway Patrol 

Other state agencies 
OKLAHOMA: 

Department of Public 
Safety 

Other state agencies 
OREGON; 

State Police 

Other state agencies 
PENNSYLVANIA: 

State Police 



98 


102 


41 


62 


361 


330 


156 


96 


67 


178 


13 


248 


77 


59 


51 


43 



364 
216 



RHODE ISLAND; 

State Police 

SOUTH CAROLINA: 

Highway Patrol 

SOUTH DAKOTA: 

Highway Patrol 

TENNESSEE: 

Department of Public 

Safety 

TEXAS; 

Department of Public 
Safety 

Other state agencies 
UTAH; 

Highway Patrol 

VERMONT: 

State Police 

VIRGINIA: 

State Police 

WASHINGTON; 

State Patrol 



442 


500 


165 


62 


106 


258 


565 


379 



WEST VIRGINIA: 

State Police 

WISCONSIN; 

State Patrol 

Other state agencies 
WYOMING: 

Highway Patrol 

Other state agencies' 



254 

45 

638 

420 

343 

4,027 
11,160 

492 
673 

4,845 

1,566 
1,749 

182 

2,240 
512 

1,383 
483 

1,104 
55 

5,226 
220 

1,208 
232 

1,577 

5,424 
2,770 

378 

419 

2,232 

1,931 

777 

642 
166 

211 
218 



194 

35 

485 

274 

238 

2.766 
4.892 

350 

3,880 

1,233 
1.101 

112 

1,212 
447 

777 
296 

856 
36 

3,911 

181 

988 

144 

785 

2,806 
565 

317 

278 

1,619 

905 

505 

424 
153 

152 



9 

2 

20 
9 

17 

71 
727 



253 



58 
49 



II 

37 

28 
6 

116 

8 
20 

2 

17 



19 

1 

54 
42 
33 

498 

3,273 



260 



187 
223 



41 

445 



298 

27 



40 



566 

17 
51 
66 

96 



64 


709 


8 


1,649 


8 


26 


10 


53 


43 


180 


34 


513 


10 


81 


58 


85 


6 





14 



' Will Dot add to total because of incomplete breakdowns. 
' 1990 data were not available. 
* Breakdowns were not available. 

NOTE: The responsibilities of the various state police, highway patrol, and departments of public safety agencies range from full law enforcement duties to traffic patrol only. Any comparison 
of these data from state to slate must take these factors and those on page v into consideration. 



243 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



ALABAMA 



ALABAMA— Continued 



Abbeville 

Adamsville 

Addison 

Alabaster 

AlbertviUe 

Alexander City 

Aliceville 

Andalusia 

Anniston 

Arab 

Ardmore 

Ashford 

Ashland 

Athens 

Atmore 

Attalla 

Auburn 

Bay Minette ... 
Bayou La Batre 

Bear Creek 

Bessemer 

Birmingham ... 

Blountsville 

Boaz 

Brantley 

Brent 

Brewton 

Bridgeport 

Brilliant 

Brookside 

Brundidge 

Butler 

Calera 

Camden 

Camp Hill 

Carbon Hill ... 
Cedar Bluff .... 

Centre 

Centreville 

Chatom 

Cherokee 

Chickasaw 

Childersburg . . . 

Citronelle 

Clanton 

Clayhatchee . . . . 

Clayton 

Columbiana 

Coosada 

Cordova 

Cottonwood 

Courtland 

Creola 

Cullman 

Dadeville 

Daleville 

Daphne 

Decatur 

Demopolis 

Dora 

Dothan 

East Brewton 

Eclectic 

Elba 

Enterprise 

Eufaula 

Eutaw 

Evergreen 

Fairfield 

Fairhope 

FalkviUe 

Fayette 

Flint City 

Flomaton 

Florala 



13 

16 

3 

28 

30 

41 

8 

40 

112 

23 

9 

10 

10 

38 

19 

21 

75 

23 

16 

2 

83 

937 

8 

31 

5 

4 

22 

8 

2 

2 

11 

9 

10 

9 

4 

14 

3 

12 

4 

6 

3 

17 

16 

12 

22 

1 

4 

9 

2 

8 

1 

6 

9 

47 

9 

21 

34 

107 

24 

8 

105 

7 

7 

16 

56 

36 

11 

18 

32 

18 

4 

9 

5 

11 

10 



8 

12 

3 

24 

24 

36 

4 

31 

83 

17 

5 

5 

6 

32 

16 

16 

54 

22 

11 

2 

72 

723 

5 

25 

5 

4 

18 

4 

2 

2 

8 

5 

6 

5 

4 

5 

3 

8 

4 

5 

3 

17 

12 

8 

16 

1 

4 
6 
1 

4 

1 

5 

5 

34 

9 

19 

25 

95 

18 

4 

86 

5 

4 

12 

42 

27 

8 

14 

27 

13 

4 

9 

4 

11 

6 



11 

214 

3 

6 



Florence 

Foley 

Fort Payne 

Fultondale 

Gadsden 

Gardendale 

Geneva 

Georgiana 

Glencoe 

Goodwater 

Gordo 

Graysville 

Greensboro 

Greenville 

Grove Hill 

Guin 

Gulf Shores . . . . 
Guntersville 

Gurley 

Haleyville 

Hamilton 

HanceviUe 

Hartford 

Hartselle 

Headland 

Heflin 

Helena 

Hillsboro 

Hokes Bluff ... 

Hollywood 

Homewood 

Hoover 

Hueytown 

Huntsville 

Hurtsboro 

Irondale 

Jackson 

Jacksonville 

Jasper 

Jemison 

Killen 

Kimberly 

Lafayette 

Lanett 

Leeds 

Leighton 

Level Plains ... 

Lincoln 

Linden 

Lineville 

Lipscomb 

Littleville 

Livingston 

Luveme 

Madison 

Maplesville 

Marion 

Midfield 

Midland City .. 

Millbrook 

Mobile 

Monroeville 

Montevallo 

Montgomery . . . 

Moody 

Morris 

Moulton 

Moundville 

Mountain Brook 
Mount Vernon 
Muscle Shoals 
New Brockton 

New Hope 

Newton 

Northport 



93 


70 


25 


20 


35 


27 


15 


11 


122 


97 


23 


18 


14 


10 


7 


5 


4 


4 


10 


6 


4 


4 


4 


4 


8 


6 


29 


22 


6 


6 


4 


4 


27 


21 


33 


23 


4 


4 


14 


11 


13 


12 


11 


6 


12 


9 


22 


18 


12 


8 


10 


6 


10 


6 


3 


2 


5 


5 


3 


2 


61 


58 


99 


80 


24 


19 


402 


295 


4 


4 


24 


20 


18 


14 


25 


19 


58 


39 


2 


2 


5 


4 


3 


3 


14 


10 


28 


21 


27 


23 


5 


4 


3 


3 


8 


4 


6 


6 


8 


5 


8 


4 


7 


5 


12 


7 


13 


9 


36 


27 


4 


1 


14 


9 


17 


13 


9 


5 


14 


11 


549 


374 


22 


17 


12 


8 


545 


441 


14 


10 


2 


2 


11 


10 


8 


4 


55 


43 


3 


3 


28 


28 


5 


5 


3 


3 


6 


3 


40 


34 



244 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



ALABAMA— Contiilue/' 



ALASKA— Continued 



Notasulga 

Oneonta 

Opelika 

Opp 

Orange Beach 

Owens Cross Roads 

Oxford 

Ozark 

Parrish 

Pelham 

PeU City 

Phenix City 

Phil Campbell 

Piedmont 

Pinchard 

Pleasant Grove 

Prattville 

Priceville 

Prichard 

Rainbow City 

RainsviUe 

Red Bay 

Reform 

Riverside 

Roanoke 

Robertsdale 

Russelville 

Samson 

Saraland 

Satsuma 

Scoltsboro 

Selma 

Sheffield 

Sipsey 

Slocomb 

Snead 

Southside 

Springville 

Steele 

Stevenson 

SuUigent 

Sumiton 

Summerdale 

Sylacauga 

Talladega 

Tallassee 

Tarrant City 

Thomaston 

Thomasville 

Thorsby 

Town Creek 

Trinity 

Troy 

Trussville 

Tuscaloosa 

Tuscumbia 

Tuskegee 

Union Springs 

Uniontown 

Valley 

Vernon 

Vestavia Hills 

Warrior 

Weaver 

West Blocton 

Wetumpka 

Wilmer 

Wilton 

Winfield 

York 



ALASKA 



Anchorage 
Bethel . . . . 



9 

16 

88 

23 

1 

2 

37 

43 

2 

43 

22 

71 

4 

14 

1 

13 

49 

4 

58 

20 

12 

11 

4 

4 

21 

11 

22 

9 

27 

13 

40 

86 

29 

3 

4 

3 

8 

4 

2 

9 

4 

9 

2 

40 

54 

20 

22 

1 

13 

2 

6 

2 

52 

17 

230 

21 

40 

12 

8 

28 

5 

34 

9 

8 

3 

17 
8 
2 
8 
9 



372 
18 



5 

12 

75 

18 

13 

2 

30 

33 

2 

34 

18 

57 

4 

12 

I 

9 

39 

4 

46 

15 

8 

7 

4 

4 

17 

6 

18 

5 

26 

9 

30 

58 

25 

2 

4 

3 

4 

4 

2 

5 

4 

5 

2 

34 

40 

15 

17 

1 

9 

2 

5 

2 

40 

13 

174 

18 

32 

9 

4 

21 

5 

33 

6 

7 

2 

13 
4 
1 



242 
9 



130 
9 



Bristol Bay Brough 

Cordova 

Craig 

Fairbanks 

Haines 

Homer 

Juneau 

Kenai 

Ketchikan 

Klawock 

Kodiak 

Kotzebue 

Nome 

North Pole 

North Slope Borough 

Palmer 

Petersburg 

St. Paul Island 

Sand Point 

Seldovia 

Seward 

Skagway 

Soldotna 

Wrangell 



ARIZONA 



Apache Junction 

Avondale 

Benson 

Bisbee 

Buckeye 

Bullhead City .. 

Camp Verde 

Casa Grande . . , 

Chandler 

Chino Valley 

Clarkdale 

Coolidge 

Cottonwood 

Douglas 

Eagar 

El Mirage 

Flagstaff 

Rorence 

Gilbert 

Glendale 

Globe 

Goodyear 

Hayden 

Holbrook 

Huachuca City 

Jerome 

Kearny 

Kingman 

Lake Havasu 

Mammoth 

Marana 

Mesa 

Miami 

Nogales 

Oro Valley 

Page 

Paradise Valley 

Parker 

Payson 

Peoria 

Phoenix 

Pinetop- Lakeside 

Prescott 

Prescoit Valley 

SafTord 

St. Johns 

San Luis 

Scottsdale 



51 


34 


34 


27 


13 


7 


24 


17 


22 


15 


88 


59 


20 


13 


59 


41 


153 


108 


17 


11 


7 


7 


27 


21 


28 


17 


48 


35 


10 


7 


16 


11 


103 


73 


19 


13 


48 


34 


266 


189 


23 


18 


19 


14 


7 


6 


20 


15 


9 


4 


3 


3 


11 


7 


47 


31 


66 


50 


6 


6 


12 


10 


587 


396 


13 


10 


48 


36 


35 


26 


20 


14 


40 


30 


15 


10 


25 


17 


81 


57 


2,628 


1,940 


20 


13 


81 


51 


24 


15 


16 


14 


8 


7 


16 


10 


294 


194 



245 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officei^ 



ARIZONA— Continued 



Sedona 

Show Low 

Sierra Vista 

Snowflake-Taylor 

Somerton 

South Tucson 
Springerville — 

Superior 

Surprise 

Tempe 

Thatcher 

ToUeson 

Tombstone 

Tucson 

Wickenburg 

Willcox 

Williams 

Winslow 

Youngtown 

Yuma 



ARKANSAS 



Alma 

Arkadelphia 

Ashdown 

Bald Knob 

Barling 

Beebe 

Benton 

Bentonville 

Berryville 

Blytheville 

Booneville 

Bradford 

Brinkley 

Bryant 

Bull Shoals .... 

Cabot 

Camden 

Carlisle 

Clarksville 

Conway 

Coming 

Crossett 

Danville 

Dardanelle 

De Queen 

Dermott 

Des Arc 

De Vails Bluff . 

De Witt 

Dumas 

Earle 

Elaine 

El Dorado 

England 

Eudora 

Eureka Springs 

FayetteviUe 

Fordyce 

Forrest City ... 
Fort Smith .... 

Gravette 

Greenbrier 

Green Forest 

Greenwood 

Gurdon 

Hamburg 

Harrison 

Hazen 

Heber Springs 

Helena 

Hope 

Horseshoe Bend 



21 
21 
46 
10 
15 
33 

9 

14 

16 

333 

6 
21 

6 
1,003 
12 
18 
15 
30 
15 
121 



8 

32 

27 

8 

53 

11 

3 

14 

7 

2 

15 

36 

8 

16 

51 

13 

15 

4 

8 

10 

12 

3 

I 

14 

20 

8 

1 

56 

9 

10 

14 

70 

11 

33 

148 

3 

2 

5 

5 

5 

6 

27 

6 

18 

19 

24 

7 



14 
15 
34 

8 
II 
23 

7 

8 

15 

242 

6 
15 

5 
757 

9 
12 
10 
17 

8 
89 



5 

16 

8 

4 

7 

4 

24 

21 

7 

43 

6 

3 

10 

6 

2 

11 

26 

5 

10 

43 

8 

10 

3 

5 

8 

7 

3 

I 

10 

14 

7 

I 

47 

5 

5 

8 

58 

8 

24 

112 

3 

2 

4 

5 

3 

5 

20 

3 

11 

12 

18 

6 



6 

1 
246 
3 
6 
5 

13 
7 

32 



ARKANSAS— Continued 

Hot Springs 

Hoxie 

Jacksonville 

Johnson 

Jonesboro 

Judsonia 

Kensetl 

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 

Piggott 

Pine Bluff 

Pocahontas 

Prairie Grove 

Prescott 

Rogers 

Russellville 

Searcy 

Sheridan 

Sherwood 

Siloam Springs 

Smackover 

Springdale 

Star City 

Stuttgart 

Texarkana 

Trumann 

Van Buren 

Vilonia 

Waldron 

Walnut Ridge 

Warren 

West Fork 

West Helena 

West Memphis 

Wynne 

Yeliville 

CALIFORNIA 

Adelanto 

Alameda 

Albany 

Alhambra 

Alturas 

Anaheim 

Anderson 

Angels Camp 

Antioch 

Arcadia 

Areata 

Arroyo Grande 

Arvin 

Alascadero 



86 

8 
62 

2 
70 

4 

2 
12 

3 

439 

11 

4 
23 
22 
16 

7 
II 
27 

3 
12 

8 

18 
18 
20 

9 

23 

182 

26 

8 
31 
12 

9 

146 

20 

5 

10 
51 
36 
31 

5 
54 
22 

5 
60 

4 
27 
59 
14 
24 

2 

6 
11 
16 

2 
21 
70 
16 

2 



21 

135 

34 

158 

9 

493 

24 

8 

115 

. 94 

26 

31 

16 

36 



73 

4 

46 

2 

55 

3 

1 

7 

3 

355 

6 

4 

17 

15 

12 

7 

7 

17 

3 

9 

8 

13 

12 

15 

9 

16 

133 

19 

6 

25 

7 

6 

114 

12 

4 

7 

37 

26 

23 

5 

39 

16 

4 

43 

3 

18 
53 
9 
20 
I 
6 
7 

10 
2 
16 
55 
15 
2 



13 

100 

30 

92 

8 

344 

15 

7 

80 

77 

19 

22 

11 

28 



246 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



CALIFORNIA— ConUn lied 



CALIFORNIA— Continued 



Atherton 

Atwater 

Auburn 

Azusa 

Balcersfield . . . . 
Baldwin Park . 

Banning 

Barstow 

Bear Valley ... 

Beaumont 

Bell 

Bell Gardens 

Belmont 

Belvedere 

Benicia 

Berkeley 

Beverly Hills . 

Biggs 

Bishop 

Blue Lake 

Blythe 

Brawley 

Brea 

Brentwood 

Brisbane 

Broadmoor 
Buena Park ... 

Burbank 

Burlingame . . . 

Calexico 

California City 

Calpatria 

Calistoga 

Campbell 

Capitola 

Carlsbad 

Carmel 

Carpinteria . . . 
Cathedral City 

Ceres 

Chico 

China Lake ... 

Chino 

Chowchilla 

Chula Vista ... 

Claremont 

Clayton 

Clearlake 

Cloverdale 

Clovis 

Coachella 

Coalinga 

Colfax 

Colma 

Colton 

Colusa 

Compton 

Concord 

Corcoran 

Corning 

Corona 

Coronado 

Costa Mesa ... 

Cotati 

Covina 

Crescent City . 
Culver City ... 

Cypress 

Daly City 

Davis 

E>eIano 

Del Rey Oaks 

Dinuba 

Dixon 

Dorris 



23 
29 
28 
72 

321 
72 
47 
45 
18 
25 
53 
72 
44 
7 
45 

289 

192 

3 

21 

2 

26 

36 

121 

17 

20 

9 

139 

227 
65 
44 
15 
5 
13 
56 
31 

111 
30 
26 
59 
54 
92 
49 

112 
17 

233 
62 
13 
28 
14 
95 
25 
20 
7 
15 
94 
10 

218 

201 
19 
18 

171 
61 

200 
20 
87 
14 

162 
82 

142 
71 
52 
6 
25 
18 
6 



19 
21 
20 
54 
240 
57 
27 
31 

6 
18 
36 
52 
32 

7 

31 

178 

131 

3 
13 

2 
18 
27 
98 
14 
15 

8 
93 
144 
46 
27 
11 

4 

9 
40 
23 
81 
18 
19 
41 
37 
58 
43 
79 
12 
153 
42 
10 
23 
10 
67 
19 
14 

6 
II 
61 

9 

126 

143 

15 

13 

no 

41 

141 
13 
52 
13 

117 
54 

103 
53 
34 
6 
18 
15 
2 



14 
III 
61 



9 

23 

3 

5 

1 

46 

83 

19 

17 

4 

I 

4 
16 
8 
30 
12 
7 

18 

17 

34 

6 

33 

5 

80 

20 

3 

5 

4 

28 

6 

6 

I 

4 

33 

1 

92 

58 

4 

5 

61 

20 

59 

7 

35 

I 

45 

28 

39 

18 

18 



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 

Femdale 

Firebaugh 

Folsom 

Fontana 

Fort Bragg 

Fortuna 

Foster City 

Fountain Valley 

Fowler 

Fremont 

Fresno 

Fullerton 

Gait 

Gardena 

Garden Grove . . . 

Gilroy 

Glendale 

Glendora 

Gonzales 

Grass Valley 

Greenfield 

Gridley 

Grover City 

Guadalupe 

Gustine 

Half Moon Bay 

Hanford 

Hawthorne 

Hayward 

Healdsburg 

Hemet 

Hercules 

Hermosa Beach 

Hillsborough 

Hollister 

Holtville 

Hughson 

Huntington Beach 
Huntington Park 

Huron 

Imperial 

Indio 

Inglewood 

lone 

Irvine 

Irwindale 

Isleton 

Jackson 

Kensington 

Kerman 

King City 

Kingsburg 

Laguna Beach ... 

La Habra 

Lakeporl 

Lake Shastina ... 
La Mesa 



7 


7 


154 


113 


6 


5 


40 


37 


214 


134 


71 


46 


43 


37 


143 


113 


88 


67 


43 


27 


13 


8 


173 


124 


55 


40 


13 


12 


16 


11 


146 


91 


II 


10 


3 


3 


12 


8 


38 


30 


178 


108 


32 


18 


22 


15 


54 


41 


84 


61 


5 


5 


291 


199 


648 


429 


219 


150 


26 


16 


111 


92 


229 


167 


70 


44 


287 


193 


74 


53 


9 


8 


26 


18 


12 


II 


15 


10 


24 


17 


13 


8 


8 


7 


17 


13 


47 


33 


139 


90 


257 


163 


27 


17 


65 


49 


20 


15 


60 


41 


30 


23 


26 


22 


14 


9 


7 


7 


415 


222 


87 


61 


9 


6 


10 


9 


71 


45 


301 


208 


6 


5 


183 


127 


25 


19 


6 


6 


11 


9 


11 


11 


13 


10 


19 


14 


15 


II 


80 


46 


92 


62 


14 


12 


3 


3 


74 


57 



247 



Table 72. — Nuinber of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued 



City 



Total 

police 

employees 



Total 
ofTicers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



CALIFORNU— Continued 



CALIFORNU— Continued 



La Palma 

La Veme 

Lemoore 

Lincoln 

Lindsay 

Livermore 

Livingston 

Lodi 

Lompoc 

Long Beach 

Los Alamitos .... 

Los Altos 

Los Angeles 

Los Banos 

Los Gatos 

Madera 

Mammoth Laices 
Manhattan Beach 

Manteca 

Marina 

Martinez 

Marysville 

Maywood 

McFarland 

Mendota 

Menio Park 

Merced 

Millbrae 

Mill Valley 

Milpitas 

Modesto 

Monrovia 

Montclair 

Montebello 

Monterey 

Monterey Park 

Moraga 

Morgan Hill 

Morro Bay 

Mountain View 
Mount Shasta ... 

Napa 

National City .... 

Nevada City 

Newark 

Newman 

Newport Beach 

Novato 

Oakdale 

Oakland 

Oceanside 

Ontario 



Orange 

Orland 

Oroville 

Oxnard 

Paciflca 

Paciflc Grove 

Palm Springs 

Palo Alto 

Palos Verdes Estates 

Paradise 

Pasadena 

Paso Robles 

Patterson 

Perns 

Petaluma 

Piedmont 

Pinole 

Pismo Beach 

Pittsburg 

Placentia 

Placerville 

Pleasant Hill 

Pleasanlon 



29 
53 
25 
20 
21 

102 
15 

105 
60 

981 
30 
43 
11,190 
37 
69 
53 
18 
76 
69 
33 
56 
36 
35 
9 
15 
55 

108 
34 
30 
98 

273 
78 
72 

116 
73 

113 
13 
49 
23 

115 
15 

108 

107 

10 

77 

9 

229 
73 
27 

958 

267 

226 

232 

8 

37 

218 
58 
40 

131 

166 
34 
42 

353 
35 
20 
48 
82 
27 
35 
31 
75 
65 
25 
64 

101 



23 
38 
20 
14 
14 
62 
12 
69 
42 
641 
24 
28 
!,381 
24 
43 
40 
15 
58 
47 
28 
43 
23 
25 
4 
10 
39 
74 
25 
22 
71 
191 
58 
50 
82 
54 
74 
12 
34 
17 
82 
9 
68 
77 
8 
53 
8 
152 
53 
19 
627 
178 
165 
155 
7 
25 
139 
44 
29 
84 
97 
23 
22 
222 
28 
16 
31 
55 
20 
23 
18 
61 
51 
20 
42 
70 



6 
15 

5 

6 

7 
40 

3 

36 

18 

340 

6 
15 
2,809 
13 
26 
13 

3 
18 
22 

5 

13 
13 
10 

5 

5 

16 
34 

9 

8 
27 
82 
20 
22 
34 
19 
39 

1 
15 

6 
33 

6 
40 
30 

2 
24 

1 
77 
20 

8 

331 

89 

61 

77 

I 
12 
79 
14 
II 
47 
69 
II 
20 
131 

7 

4 
17 
27 

7 
12 
13 
14 
14 

5 
22 
31 



Pomona 

Porterville 

Port Hueneme 

Red Bluff 

Redding 

Redlands 

Redondo Beach 

Redwood City 

Reedley 

Rialto 

Richmond 

Ridgecrest 

Rio Dell 

Rio Vista 

Ripon 

Riverbank 

Riverside 

Rocklin 

Rohnert Park 

Roseville 

Ross 

Sacramento 

St. Helena 

Salinas 

San Anselmo 

San Bernardino 

San Bruno 

San Carlos 

San Clemente 

Sand City 

San Diego 

San Fernando 

San Francisco 

San Gabriel 

Sanger 

San Jacinto 

San Jose 

San Juan Bautista .. 

San Leandro 

San Luis Obispo ... 

San Marino 

San Mateo 

San Pablo 

San Rafael 

Santa Ana 

Santa Barbara 

Santa Clara 

Santa Cruz 

Santa Maria 

Santa Monica 

Santa Paula 

Santa Rosa 

Sausalito 

Scotts Valley 

Seal Beach 

Seaside 

Sebastopol 

Selma 

Shafter 

Sierra Madre 

Signal Hill 

Simi Valley 

Soledad 

Sonoma 

Sonora 

South Gate 

South Lake Tahoe 

South Pasadena 

South San Francisco 

Stallion Springs 

Stockton 

Suisun City 

Sunnyvale 

Susanville 

Sutter Creek 



288 


172 


62 


39 


29 


21 


30 


21 


158 


92 


94 


69 


171 


103 


112 


75 


31 


23 


138 


92 


263 


178 


54 


33 


6 


6 


7 


6 


18 


12 


17 


13 


425 


300 


38 


25 


72 


47 


99 


53 


8 


8 


903 


622 


16 


12 


180 


133 


23 


17 


357 


238 


55 


45 


49 


36 


69 


50 


3 


3 


2.568 


1,882 


49 


34 


2,276 


1,783 


65 


53 


36 


26 


44 


29 


1,469 


1,112 


4 


4 


135 


87 


78 


52 


25 


18 


149 


107 


56 


41 


103 


72 


569 


387 


218 


135 


180 


142 


108 


73 


94 


71 


312 


164 


38 


30 


189 


130 


37 


25 


24 


17 


58 


41 


49 


39 


19 


14 


32 


22 


23 


15 


20 


15 


42 


29 


153 


102 


13 


10 


21 


14 


17 


12 


126 


87 


75 


54 


48 


30 


103 


72 


3 


3 


427 


268 


36 


24 


177 


122 


15 


4 


6 


5 



248 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued 



City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
ofTicers 


Total 
civilians 


CALIFORNIA— Continued 

Taft 


20 

19 

311 

58 

62 

3 

71 

113 

42 

31 

87 

111 

104 

195 

193 

64 

115 

106 

9 

65 

13 

158 

132 

5 

74 

6 

123 

7 

16 
10 
10 
9 
68 
20 
56 

23 

4 

159 

37 

3 

542 

8 

4 

3 

5 

182 

21 

38 

51 

11 

6 

8 

1 

33 

8 

19 

4 

6 

2 

25 

584 

2 

52 

31 

23 

5 

3 

6 

1 

5 

14 
1.562 


15 
15 
238 
42 
40 

3 
45 
79 
32 
23 
62 
76 
69 
135 
121 
47 
75 
76 

7 
48 

9 
114 
96 

5 
54 

5 
89 

7 
II 

9 

9 

8 
52 
14 
39 

19 

4 

114 

23 

3 

382 

7 

3 

3 

4 

122 

14 

28 

37 

9 

5 

7 

1 

23 

7 

13 

4 

6 

2 

23 

399 

2 

40 

21 

16 

5 

3 

4 

1 

4 

II 

1,302 


5 

4 

73 

16 

22 

26 

34 

10 

8 

25 
35 
35 
60 
72 
17 
40 
30 

2 
17 

4 
44 
36 


COLORADO— Continued 

Dillon 


5 
45 
3 
4 
5 

15 

2 

2 

93 

3 

23 

14 

1 

25 

3 

1 

10 

159 

17 

25 

20 

2 

5 

9 

7 

3 

35 

21 

32 

1 

95 

132 

2 

56 

23 

2 

2 

2 

3 

8 

4 

3 

2 

2 

4 

26 

3 

17 

4 

290 

26 

5 

7 

7 

4 

68 

2 

1 

94 

21 

76 

2 

18 

5 
3 

5 

19 
25 

4 

1 
2 
5 
3 
2 


4 

27 

3 

4 

4 

12 

2 

2 

64 

3 

14 

II 

1 

16 

3 

1 

5 

103 

II 

19 

14 

2 

4 

8 

6 

3 

27 

18 

24 

63 
85 

1 
43 
14 
2 
2 
2 
3 
7 
4 
3 
2 
2 
4 
20 
3 

14 

4 

190 

20 

5 

7 

6 

4 

53 

2 

1 

74 

18 

50 

2 

12 

1 

4 
3 
4 
14 
22 
4 
1 
2 
5 
3 
2 








18 


Torrance 


Eads 




Tracy 


Eagle 






1 


Tulelake 


Edgewater 


3 


Turlock 


Elizabeth 




Tustin 


Empire 




Twin Cities 


Entdewood 


29 


Ukiah 


Erie 


Union City ^ 




9 


Upland 




3 


VacaviUe 


Fairplay 




Vallejo 




9 


Ventura 


Firestone 






Flagler 




Visalia 




5 


Walnut Creelc 


Fort Collins .... 


56 


Waterford 




6 




Fort Morgan 


( 


Weed 




6 








Westminster 


Frederick 


] 










20 

1 
34 




1 








Whittier 


Glendale 


g 


Williams 


Glenwood Springs 


3 


Willits 


5 
1 
1 
1 

16 
6 

17 

4 


Golden 


g 


Willows 






Winters 




32 


Woodlake 




47 


Woodland 


Green Mountain Falls 


1 


Yreka 




13 


Yuba City 




9 




Haxlun 




COLORADO 


Hayden 






Holly 






Holyoke 






ld;fho Spring*: 


\ 


Arvada 


45 
14 

160 
1 
1 


Ignacio 










Ault 


Julesburg 










Avon 


Kremmling 




Basalt 


Lafayette 


6 


Bayfield 


La Jara 






1 

60 

7 
10 
14 
2 
1 
1 

10 
1 
6 

2 
185 

12 
10 

7 


La Junta 


3 










Lakewood 


100 


Brighton 


Lamar 


6 




U Salle 




Brush 


Las Animas 








1 








Calhan 


Littleton 


15 


Canon City 








Log Lane Village 




Castle Rock 


Longmont 


20 


Cedaredge 

Center 


Louisville 


3 


Loveland 


26 


Central City 


Manassa 


Cherry Hills Village 


Manitou Springs 


6 






Columbine Valley 


Meeker 


I 




Milliken 




Cortez 




. 


Craig 

Crested Butte 


Monte Vista 


5 




3 


Cripple Creek 




Monument 


Dacono 


2 

3 
260 


Morrison 




De Beque 






Del Norte 


Mount Crested Butte 




Delta 






Denver 


New Castle 





249 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



COLORADO— Condnucd 



CONNECTICUT— Continued 



Northglenn 

Oak Creek 

Olatbe 

Pagosa Springs ... 

Palisade 

Palmer Lake 

Paonia 

Parachute 

Parker 

Platteville 

Pueblo 

Rangely 

Ridgway 

RiHe 

Rocky Ford 

Salida 

Sheridan 

sm 

SUverthome 

Snowmass Village 

Springfield 

Steamboat Springs 

Sterling 

Stratton 

Thornton 

Trinidad 

Vail 

Victor 

Walsenburg 

Westminster 

Wheat Ridge 

Wiggins 

Windsor 

Woodland Park .. 

Wray 

Yuma 



CONNECTICUT 



Ansonia 

Avon 

Berlin 

Bethel 

Bloomfleld 

Branford 

Bridgeport 

Bristol 

BrookTield 

Canton 

Cheshire 

Clinton 

Coventry 

Cromwell 

Danbury 

Darien 

Derby 

East Hampton 

East Hartford 

East Haven 

Easton 

East Windsor 

Enfield 

Fairfield 

Farmington 

Glastonbury 

Grandby 

Greenwich 

Groton 

Groton Long Point 

Groton Town 

Guilford 

Hamden 

Hartford 

Jewett City 

Madison 



62 

2 

3 

6 

3 

3 

3 

6 

18 

3 

229 

13 

2 

IS 

8 

11 

27 

3 

10 

10 

4 

28 

35 

3 

116 

21 

50 

2 

16 

153 

78 

I 

9 
16 
12 
10 



48 
37 
44 
36 
61 
45 

420 

109 
31 
19 
53 
26 
15 
27 

143 
57 
26 
16 

144 
55 
19 
21 
99 

108 
53 
74 
15 

179 

38 

5 

71 

41 

121 

588 
11 
42 



47 
2 
3 
5 
3 
3 
3 
2 

12 

3 

174 

8 

1 

10 
7 

10 

18 
3 
8 
7 
4 

17 

23 
1 

79 

15 

30 
2 

10 
105 

57 
I 
8 

II 
6 
6 



42 
30 
36 
30 
49 
43 

372 

101 
25 
14 
44 
23 
II 
21 

135 
50 
25 
14 

113 
50 
14 
15 
82 
98 
40 
54 
10 

158 

32 

5 

60 

35 

100 

470 

7 

33 



15 



11 
6 
21 
118 
4 
9 



Manchester 

Meriden 

Middlebury 

Middletown 

Milford 

Monroe 

Naugatuck 

New Britain ... 
New Canaan 
New Haven ... 

Newington 

New London 
New Milford 

Newtown 

North Branford 
North Haven 

Norwalk 

Norwich 

Old Saybrook . 

Orange 

Plainfield 

Plainville 

Plymouth 

Putnam 

Ridgefield 

Rocky HiU 

Seymour 

Shelton 

Simsbury 

Southington . . . 
South Windsor 

Stamford 

Stonington 

Stratford 

Suffield 

Thomaston 

Torrington 

Trumbull 

Vernon 

Wallingford . . . 

Waterbury 

Waterford 

Watertown 

West Hartford 
West Haven 

Weston 

Westport 

Wethersfield . . 
Willimantic . . . 

Wilton 

Windsor 

Windsor Locks 

Winsted 

Wolcott 

Woodbridge 



DELAWARE 



Bethany Beach 

Bethel 

Blades 

Bridgeville 

Camden-Wyoming 

Clayton 

Dagsboro 

Delmar 

Dewey Beach .... 

Dover 

Elsmere 

Fenwick Island 

Frankford 

Georgetown 

Greenwood 

Harrington 

Laurel 



128 


99 


133 


114 


11 


9 


115 


95 


121 


106 


42 


33 


49 


45 


175 


155 


48 


44 


441 


382 


57 


47 


90 


76 


55 


42 


39 


31 


22 


20 


56 


46 


197 


162 


94 


78 


30 


22 


40 


34 


19 


18 


36 


29 


21 


17 


19 


15 


42 


37 


39 


30 


28 


27 


59 


50 


42 


34 


62 


57 


42 


33 


361 


316 


43 


34 


132 


114 


18 


13 


14 


II 


81 


75 


78 


67 


60 


47 


89 


70 


357 


310 


53 


45 


42 


32 


146 


120 


130 


114 


15 


14 


75 


68 


51 


41 


41 


36 


44 


40 


53 


46 


25 


19 


28 


23 


29 


21 


26 


20 


9 




9 




2 




6 




4 

1 




1 
8 




10 




84 


67 


12 


11 


3 




8 




2 




7 




10 


9 



250 



T«ble 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued 



City 



DELAWARE— Continued 



Lewes 

Middleton 

Milford 

MiUsboro 

Milton 

Newark 

New Castle 

Newport 

Ocean View ... 
Reboboth Beach 

Seaford 

SelbyviUe 

Smyraa 

South Bethany . 
Wilmington 



DISTRICT OF COLUMBU 



Washington 



FLORIDA 



Alachua 

Altamonte Springs 

Apaiachicola 

Apopka 

Arcadia 

Atlantic Beach 

Atlantis 

Auburndale 

Avon Park 

Bal Harbour 

Bartow 

Bay Harlx)r Islands 

Belleair 

Belleair Beach 

Belleair BlufTs 

Belle Glade 

BeUeview 

Biscayne Park 

Blountstown 

Boca Raton 

Bonifay 

Bowling Green 

Boynton Beach .... 

Bradcnton 

Bradenton Beach 

Brooksville 

Bunnell 

Bushnell 

Callaway 

Cape Coral 

Casselberry 

Cedar Grove 

Center Hill 

Century 

Chattahoochee 

Chienand 

Chipley 

Clearwater 

Qennont 

Qewiston 

Cocoa 

Cocoa Beach 

Coconut Creek 

Coleman 

Cooper City 

Coral Gables 

Coral Springs 

Crescent City 

Crestview 

Cross City 

Crystal River 

Dade City 

Davenport ! . . 



Total 

police 

employees 



7 
5 

30 

6 

4 

66 

II 

7 

I 

22 

27 

2 

18 

4 

326 



5,521 



13 

112 

35 

61 

21 

29 

25 

31 

27 

26 

55 

28 

15 

5 

8 

61 

11 

7 

12 

203 

9 

5 

145 

92 

9 

29 

7 

7 

18 

151 

63 

3 

2 

6 

10 

9 

6 

366 

23 

23 

56 

61 

69 

2 

51 

201 

224 

10 

24 

4 

22 

27 

9 



Total 
olTicers 



7 

5 

23 

6 

4 

51 

10 

6 

1 

16 

21 

2 

14 

4 

256 



4,740 



9 

82 

6 

43 

15 

21 

15 

23 

19 

19 

40 

23 

10 

5 

7 

48 

9 

7 

7 

124 

5 

5 

124 

73 

8 

18 

6 

6 

14 

100 

42 

3 

2 

6 

9 

9 

6 

234 

17 

13 

51 

49 

49 

2 

40 

139 

153 

6 

17 

4 

18 

16 

5 



Total 
civilians 



70 



781 



132 
6 
10 

5 

12 
20 



City 



FLORIDA— Continued 



Davie 

Daytona Beach 

Daytona Beach Shores 
De Funiak Springs ... 

De Land 

Delray Beach 

Dundee 

Dunedin 



Total 

police 

employees 



Dunnellon 

Eagle Lake 

Eatonville 

Edgewaler 

Edgewood 

El Portal 

Eustis 

Fellesmere 

Femandina Beach 

Flagler Beach 

Florida City 

Fort Lauderdale 

Fort Meade 

Fort Myers 

Fort Pierce 

Fort Walton Beach ... 

Frostproof 

Fruitland Park 

Gainesville 

Golden Beach 

Graceville 

Greenacres City 

Green Cove Springs 

Groveland 

Gulf Breeze 

Gulfport 

Gulf Stream 

Haines City 

Hallandale 

Havana 

Hialeah 

Hialeah Gardens 

Highland Beach 

High Springs 

Hillsboro Beach 

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 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 



Total 
officers 



145 


108 


281 


210 


28 


21 


13 


12 


72 


51 


195 


130 


12 


8 


67 


54 


8 


6 


5 


5 


9 


7 


37 


28 


8 


7 


6 


6 


40 


29 


5 


5 


31 


24 


14 


8 


23 


17 


749 


482 


19 


14 


184 


137 


131 


103 


65 


52 


13 


8 


7 


6 


309 


202 


13 


12 


12 


6 


71 


40 


19 


15 


12 


7 


19 


17 


27 


21 


9 


9 


48 


35 


124 


95 


12 


9 


447 


331 


30 


23 


10 


10 


11 


7 


15 


12 


31 


22 


567 


302 


15 


9 


100 


79 


3 


3 


15 


10 


23 


16 


19 


19 


13 


12 


11 


10 


13 


12 


2,084 


1,208 


59 


40 


9 


7 


14 


12 


92 


73 


17 


14 


13 


11 


101 


71 


127 


81 


18 


13 


12 


8 


33 


27 


10 


10 


7 


5 


6 


5 


270 


196 


27 


20 


34 


26 


45 


34 


140 


98 


29 


21 



251 



Table 72. — Number of Full-dme Lam Enforcement Employees, Cities, October 31, 1990 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



FLORIDA— Continued 

Largo 

Lauderdale-by-the-Sea 

Leesburg 

Lighthouse Point 

Longboat Key 

Longwood 

Lynn Haven 

Madeira Beach 

Madison 

Maitland 

Manalapan 

Mangonia Park 

Margate 

Marianna 

Mascotte 

Medley 

Melbourne 

Melbourne Beach 

Miami 

Miami Beach 

Miami Shores 

Miami Springs 

Miccosukee 

Milton 

Minneola 

Miramar 

MonticeUo 

Mount Dora 

Mulberry 

Naples 

Neptune Beach 

New Port Richey 

New Smyrna Beach 

Niceville 

North Bay Village 

North Lauderdale 

North Miami 

North Miami Beach 

North Palm Beach 

North Port 

Oak HiU 

Oakland Park 

Ocala 

Ocean Ridge 

Ocoee 

Okeechobee 

Opa Locka 

Orange City 

Orange Park 

Orlando 

Ormond Beach 

Oviedo 

Pahokee 

Palatka 

Palm Bay 

Palm Beach 

Palm Beach Gardens 

Palm Beach Shores 

Palmetto 

Palm Springs 

Panama City 

Panama City Beach 

Parker 

Parkland 

Pembroke Pines 

Pensacola 

Perry 

Pinellas Park 

Plantation 

Plant City 

Pompano Beach 

Ponce Inlet 

Port Orange 

Port Richey 

Port St. Joe 



FLORIDA— Continued 



165 
16 
56 
38 
25 
37 
19 
17 
12 
46 
II 
15 

132 

21 

5 

34 

172 

10 

1.418 

456 
42 
45 
8 
22 
4 
95 
11 
33 
13 

123 
16 
39 
65 
17 
29 
71 

129 

133 

42 

36 

4 

105 

167 
17 
39 
21 
69 
14 
26 

734 
85 
35 
22 
40 

154 

122 

92 

8 

38 

32 

106 

38 

7 

16 

167 

203 
20 

105 

223 
76 

334 
12 
70 
14 
16 



115 
14 
45 
30 
19 
32 
13 
16 
II 
32 

7 
15 
97 
16 

5 
28 
125 

9 

1.080 

321 

34 

37 

5 
17 

4 
80 

8 
24 

9 
81 
II 
30 
50 
12 
22 
55 
106 
100 
32 
23 

4 
75 
113 
12 
29 
15 
49 
13 
20 
512 
63 
25 
15 
29 
97 
75 
74 

7 
29 
23 
80 
30 

6 

14 

131 

145 

18 

70 

137 

55 

255 

7 
53 

9 
11 



6 

47 

I 

338 

135 

8 

8 

3 

5 



30 

54 

5 

10 

6 

20 

1 

6 

222 

22 

10 

7 

11 

57 

47 

18 

I 

9 

9 

26 

8 

1 

2 

36 

58 

2 

35 

86 

21 

79 

5 

17 
5 
5 



Port St. Lucie 

Punta Gorda 

Quincy 

Redington Beach 

Riviera Beach 

Rockledge 

Royal Palm Beach .. 

St. Augustine 

St. Augustine Beach . 

St. Cloud 

St. Petersburg 

St. Petersburg Beach 

Sanford 

Sanibel 

Sarasota 

Satellite Beach 

Sea Ranch Lakes 

Sebastian 

Sebring 

Seminole Big Cypress 

Sewall's Point 

Sneads 

South Bay 

South Daytona 

South Miami 

South Palm Beach 

Springfield 

Starke 

Stuart 

Sunrise 

Surfside 

Sweetwater 

Tallahassee 

Tampa 

Tarpon Springs 

Tavares 

Temple Terrace 

Tequesta 

Titusville 

Treasure Island 

Umatilla 

Valparaiso 

Venice 

Vero Beach 

Virginia Gardens 

Waldo 

Wauchula 

Webster 

West Melbourne 

West Miami 

West Palm Beach ... 

Wildwood 

Williston 

Wilton Manors 

Windermere 

Winter Garden 

Winter Haven 

Winter Park 

Winter Springs 

Zephyrhills 

Zolfo Spring 



GEORGIA 



Abbeville 

Acworth 

Adairsville 

Adel 

Alamo 
Alapaha . . 
Albany . . . 

Alma 

Alpharetta 
Americus 
Aragon . . . 



103 


71 


34 


24 


73 


60 


8 


7 


116 


94 


40 


33 


34 


25 


44 


34 


9 


8 


42 


31 


702 


483 


52 


32 


98 


81 


35 


24 


274 


179 


21 


15 


12 


10 


28 


20 


29 


22 


54 


40 


8 


8 


6 


2 


15 


10 


31 


22 


61 


48 


9 


9 


18 


13 


20 


14 


56 


41 


205 


132 


25 


21 


20 


18 


417 


286 


1.126 


848 


56 


42 


23 


17 


56 


37 


22 


17 


97 


71 


23 


19 


6 


5 


13 


8 


60 


39 


86 


60 


7 


7 


7 


6 


12 


10 


3 


3 


21 


19 


18 


15 


321 


218 


17 


13 


16 


10 


41 


30 


6 


6 


36 


28 


87 


62 


90 


67 


49 


39 


32 


23 


2 


2 



3 
20 
10 
16 

2 

I 

211 

18 

37 

51 

9 



252 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



aty 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



GEORGU— CondniKd 



GEORGIA— Continued 



Arlington 

Asbbum 

Atbens 

Atlanta 

Attapulgus 

Auburn 

Augusta 

Austell 

Avondale Estates 

Bainbridge 

Baldwin 

Ball Ground 

Bamesville 

Baxley 

Blackshear 

Blakely 

Bloomingdale . . . 

Blue Ridge 

Boston 

Bremen 

Brooklet 

Broxton 

Brunswick 

Buchanan 

Buena Vista 

Butler 

Byron 

Cairo 

Calhoun 

Camilla 

Canon 

Canton 

Carrollton 

Cartersville 

Cave Spring 

Cedanown 

Chamblee 

Chatsworth 

Chickamauga 

Clarkesville 

Clarkston 

Claxton 

Clayton 

Cleveland 

Cochran 

Colbert 

Coolidge 

College Park 

Collins 

Colquitt 

Columbus 

Comer 

Commerce 

Concord 

Conyers 

Cordele 

Cornelia 

Covington 

dimming 

Cusseta 

Cutbbert 

Dallas 

Dalton 

DanielsviUe 

Darien 

Davisboro 

Dawson 

Decatur 

Demorest 

Doerun 

Donalsonville 

E)oraville 

Douglas 

[>ouglasviUe 

Dublin 



3 

15 

128 

1,933 

3 

6 

190 

15 

9 

■ 51 

4 

2 

13 

13 

II 

19 

7 

5 

4 

15 

3 

4 

86 

4 

5 

4 

12 

22 

34 

18 

1 

22 

51 

50 

2 

25 

35 

13 

9 

5 

13 

7 

9 

6 

11 

3 

4 

76 

1 

10 

461 

3 

19 

3 

46 

30 

16 

44 

13 

6 

9 

14 

78 

1 

6 

1 

20 

55 

2 

5 

13 
34 
42 
36 
44 



3 

12 

99 

1,569 

1 

5 

157 

10 

9 

34 

4 

2 

12 

13 

10 

14 

6 

5 

4 

15 

3 

4 

71 

4 

5 

4 

10 

1 

34 

14 

1 

20 

44 

40 

2 

21 

32 

10 

5 

5 

11 

6 

9 

6 

11 

2 

4 

64 

1 

7 

366 

3 

12 

2 

35 

26 

16 

37 

8 

3 

5 

11 

60 

1 

6 

I 

16 

44 

2 

4 

8 

25 

33 

30 

35 



3 

29 

364 

2 

1 
33 

5 



17 



15 



12 



Duluth 

East Dublin 

East Ellijay 

Eastman 

East Point 

Edison 

Elberton 

EllaviUe 

Ellijay 

Emerson 

Enigma 

Fairbum 

Fayetleville 

Fitzgerald 

Flowery Branch 

Folkston 

Forest Park 

Forsyth 

Fort Gaines 

Fori Oglethorpe . 

Fort Valley 

Gainesville 

Garden City 

Glennville 

Glenwood 

Gordon 

Grantville 

Gray 

Greensboro 

Griffin 

Grovetown 

Hagan 

Hahira 

Hampton 

Hapeville 

Harlem 

Hartwell 

Hawkinsville 

Hazlehurst 

Helen 

Hepzibah 

Hinesville 

Hoboken 

Hogansville 

Homerville 

Ideal 

Irwinton 

Ivey 

Jackson 

Jasper 

Jefferson 

Jeffersonville 

Jesup 

Jonesboro 

Kennesaw 

Kingsland 

Lafayette 

La Grange 

Lake City 

Lakeland 

Lavonia 

Lawrenceville 

Leary 

Leesburg 

Leslie 

Lilbum 

Lincolnlon 

Linwood 

Lithonia 

Locust Grove 

Loganville 

Lookout Mountain 

Louisville 

Ludowici 

Lumpkin 



34 

12 

5 

16 

123 

3 

26 

4 

12 

2 

2 

19 

25 

39 

1 

5 

60 

21 

4 

19 

32 

91 

20 

13 

4 

8 

4 

4 

10 

76 

II 

1 

7 

7 

38 

9 

15 

11 

18 

II 

1 

56 

3 

14 
9 
I 

2 
2 

19 

7 

9 

5 

31 

8 

34 

24 

24 

86 

II 

4 

II 

37 

2 

3 

4 

21 

3 

I 

II 

7 

12 

9 

9 



26 

7 

4 

12 

103 

3 

21 

4 

8 

2 

1 

14 

17 

24 



1 




5 




39 


21 


16 


5 


4 




15 


4 


26 


6 


72 


19 


18 


2 


8 


5 


3 


1 


5 


3 


4 




4 




9 


1 


62 


14 


8 
1 


3 


4 


3 


7 




31 


7 


5 


4 


11 


4 


10 


1 


9 


9 


7 
1 


4 


45 


11 


2 


1 


10 


4 


5 
1 


4 


7 




7 




14 


5 


7 




8 


1 


5 




23 


8 


8 




25 


9 


18 


6 


16 


8 


75 


11 


8 


3 


4 




9 


2 


27 


10 


3 




4 




15 


6 


3 




1 




8 


3 


6 


1 


8 


4 


7 


2 


9 




4 


4 


6 


1 



253 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



GEORGIA— Continued 



Luthersville 

Lyons 

Macon 

Madison 

Manchester — 

Mansfield 

Marietta 

MarshallviUe . . . 

Maysville 

McCaysville . . . 
McDonough . . . 

Mclntyre 

McRae 

Meigs 

Metter 

Midway 

Milan 

Milledgeville ... 

Millen 

Monroe 

Montezumna 

Monticello 

Morrow 

Morven 

Moultrie 

Mountain City 
Mount Vernon 

Nabunta 

Nashville 

Newnan 

Newton 

Nicholls 

Norcross 

Oakwood 

Ocilla 

Oglethorpe 

Omega 

Oxford 

Palmetto 

Patterson 

Pavo 

Peachtree City . 

Pearson 

Pelham 

Pembroke 

Perry 

Pine Lake 

Pinehurst 

Plains 

Pooler 

Porterdale 

Port Wentworth 

Poulan 

Powder Springs 

Quitman 

Reidsville 

Remerton 

Reynolds 

Richland 

Richmond Hill 

Ringgold 

Rincon 

Riverdale 

Roberta 

Rochelle 

Rockmarl 

Rome 

Rossville 

Roswell 

Royston 

St. Marys 

Sandersville 

Sardis 

Savannah 

Savannah Beach 



4 

15 

321 

13 

16 

1 

145 

4 

1 

3 

10 

3 

9 

5 

11 

4 

3 

54 

9 

32 

16 

12 

33 

3 

47 

2 

3 

3 

16 

39 

2 

5 

24 

8 

15 

7 

5 

1 

8 

2 

3 

37 

3 

11 

5 

32 

5 

1 

3 

II 

5 

12 

1 

20 

17 

10 

3 

3 

4 

14 

4 

7 

37 

3 

4 

15 

73 

16 

117 

14 

29 

22 

2 

410 

18 



4 
12 
263 
12 
11 

120 
3 
1 
3 
9 
3 
5 
5 

11 
3 
3 

31 
9 

26 

11 
8 

26 
3 

38 
2 
3 
3 

12 

38 
2 
3 

17 
7 

10 
6 
5 
1 
8 
2 
2 

27 
3 
8 
5 

27 
3 
1 
3 

10 
5 

11 
1 

16 

13 
5 
3 
3 
4 
8 
4 
7 

31 
3 
4 

15 

63 
8 

85 

10 

24 

15 

2 

325 

13 



GEORGIA— Continued 

Screven 

Senoia 

Smyrna 

Snellville 

Soperton 

Sparks 

Sparta 

Springfield 

Statesboro 

Statham 

Stone Mountain 

Summerville 

Swainsboro 

Sylvania 

Sylvester 

Talbotton 

Tallapoosa 

Temple 

Tennille 

Thomaston 

Thomasville 

Thomson 

Thunderbolt 

Tifton 

Tignall 

Toccoa 

Trenton 

Trion 

Tunnel Hill 

Tyrone 

Unadilla 

Union City 

Union Point 

Uvalda 

Valdosta 

Vidalia 

Vienna 

Villa Rica 

Warner Robins 

Warwick 

Washington 

Watkinsville 

Waverly Hall 

Waycross 

Waynesboro 

West Point 

White 

Willacoochee 

Winder 

Woodbine 

Woodstock 

Wrens 

Wrightsville 

HAWAII 

Hilo 

Honolulu 

IDAHO 

Aberdeen 

American Falls 

Blackfoot 

Boise 

Bonners Ferry 

Buhl 

Caldwell 

Chubbuck 

Coeur d'AIene 

Emmetl 

Filer 

Firth 

Fruitland 

Garden City 



1 

5 

97 

29 

9 

1 

12 

5 

46 

3 

18 

17 

25 

14 

18 

3 

14 

4 

6 

44 

52 

13 

9 

50 

2 

31 

5 

7 

4 

8 

7 

29 

9 

2 

96 

29 

6 

23 

101 

2 

18 

4 

5 

63 

20 

17 

1 

3 

31 

5 

20 

12 

4 



197 

2,257 



7 

9 

24 

189 

7 

6 

38 

14 

59 

9 

4 

1 

6 

21 



1 

5 

78 

23 

5 

1 

8 

5 

37 

3 

12 

17 

18 

10 

14 

3 

10 

3 

5 

36 

43 

11 

5 

41 

1 

25 

5 

7 

4 

7 

4 

21 

5 

2 

78 

27 

6 

17 

76 

2 

13 

4 

4 

45 

16 

13 

1 

2 

30 
5 

18 
12 
4 



128 
1,827 



4 

8 

16 

161 

6 

5 

28 

11 

41 

9 

4 

1 

5 

18 



254 



Table 72. — Number of Full-time Lan Enforcement Employees, Cities, October 31, 1990 — Continued 



Cily 



Total 

police 

employees 



Total 

ofTicers 



Total 

civilians 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



IDAHO— Continued 



Gooding 

Grangevllle .... 

Hailey 

Heybum 

Homedale 

Idaho Falls 

Jerome 

Kellogg 

Ketchum 

Lewiston 

McCall 

Meridian 

Montpelier 

Moscow 

Mountain Home 

Nampa 

New Plymouth 

Orofino 

Osburn 

Payette 

Pinehurst 

Pocatello 

Post Falls 

Preston 

Priest River 

Rexburg 

Rigby 

Rupert 

St. Anthony 

Salmon 

Sandpoint 

Shelley 

Soda Springs ... 

Sun Valley 

Twin Falls 

Wallace 

Weiser 

Wilder 



nxiNOis 



Abingdon 

Addison 

Albany 

Albion 

Aledo 

Alexis 

Algonquin 

Alorlon 

Alsip 

Altamont 

Alton 

Andalusia 

Anna 

Antioch 

Areola 

Arlington Heights 
Arthur 



Ashland 

Astoria 

Auburn 

Aurora 

Avon 

Barrington 

Barrington Hills 

Bartlett 

Bartonville 

Batavia 

Beardstown 

Bedford Park .. 

Beecher 

Belleville 

Bellwood 

Belvidere 

Benld 



6 
8 

4 
5 

93 

12 
7 

14 

56 
7 

16 
5 

28 

23 

53 
4 
7 
2 

10 
2 

84 

20 
4 
6 

26 
5 

13 
5 
6 

17 
6 
6 
8 

54 
4 

13 
2 



83 
1 

2 

8 

1 

26 

7 

48 

3 

78 

2 

9 

21 

4 

131 

5 

1 

1 

8 

225 

1 

43 

25 

38 

II 

33 

12 

33 

5 

76 

51 

27 

7 



7 

5 

6 

4 

5 

68 

12 

6 

11 

41 

6 

14 

5 

23 

16 

37 

4 

6 

2 

9 

2 

64 

12 

4 

5 

23 

5 

12 
5 
5 
11 
6 
6 
8 
39 
4 
9 
2 



5 

63 

1 

2 

7 

1 

20 

3 

39 

3 

66 

2 

9 

14 

4 

98 

5 

1 

1 

4 

193 

1 

30 

18 

28 

7 

27 

8 

28 

5 

66 

42 

25 

3 



25 



20 



ILLINOIS— Continued 



Bensenville 

Benton 

Berkeley 

Berwyn 

Bethalto 

Bloomingdale 

Bloomington 

Blue Island 

Blue Mound 

Bolingbrook 

Bourbonnais 

Bradley 

Braidwood 

Breese 

Bridgeport 

Bridgeview 

Brighton 

Broadview 

Brookfield 

Brooklyn 

Buffalo Grove 

Bull Valley 

Bunker Hill 

Burbank 

Bumham 

Burr Ridge 

Byron 

Cahokia 

Cairo 

Calumet City 

Calumet Park 

Camp Point 

Canton 

Carbon Cliff 

Carbondale 

CarlinviUe 

Carlyle 

Carmi 

Carol Stream 

Carpentersville . . « 

CarroUton 

Carterville 

Carthage 

Cary 

Casey 

Caseyville 

Central City 

Centralia 

Centreville 

Champaign 

Channahon 

Charleston 

Chatham 

Chenoa 

Cherry Valley .... 

Chester 

Chicago 

Chicago Heights 

Chicago Ridge 

Chillicothe 

Christopher 

Cicero 

Clarendon Hills .. 

Clinton 

Coal City 

Coal Valley 

Cobden 

Collinsville 

Colona 

Columbia 

Coulterville 

Country Club Hills 

Countryside 

Crest Hill 

Crestwood 



43 


33 


11 


6 


16 


13 


96 


71 


18 


12 


54 


38 


85 


74 


41 


32 


83 


59 


20 


14 


22 


17 


8 


5 


5 


5 


2 


2 


44 


38 


5 


3 


33 


32 


34 


28 


4 


3 


63 


54 


3 


1 


52 


44 


13 


9 


22 


19 


9 


5 


37 


26 


18 


13 


95 


66 


23 


17 


27 


20 


2 


2 


66 


53 


13 


9 


7 


6 


10 


9 


56 


40 


46 


41 


5 


5 


4 


4 


3 


3 


21 


16 


6 


6 


9 


5 


2 


2 


36 


28 


16 


12 


121 


93 


II 


7 


37 


29 


7 


7 


2 


2 


10 


10 


10 


7 


13,535 


12,048 


109 


78 


29 


26 


12 


8 


4 


4 


117 


93 


18 


13 


17 


13 


4 


3 


7 


6 


2 


2 


40 


31 


4 


4 


9 


8 


28 


22 


27 


21 


23 


18 


8 


7 



255 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



nUNOIS— Continued 



ILLINOIS— Continued 



Crete 

Creve Coeur 

Crystal l.ake 

Danville 

Darien 

Decatur 

Deerfield 

De Kalb 

De Soto 

Des Plaines 

Dixmoor 

Dixon 

Dolton 

Downers Grove 

Dupo 

Dm Quoin 

Durand 

Dwight 

EarlviUe 

East Alton 

East Carondelet 

East Dubuque 

East Dundee 

East Hazel Crest 

East Moline 

East Peoria 

East St. Louis 

Edwardsville 

Effingham 

Elbum 

Eldorado 

Elgin 

Elk Grove Village 

Elmhurst 

Elmwood Park 

El Paso 

Energy 

Equality 

Erie 

Eureka 

Evanston 

Evergreen Park 

Fairbury 

Fairfield 

Fairmont City 

Fairview 

Fairview Heights 

Farmer City 

Fisher 

Flora 

Flossmoor 

Ford Heights 

Forest Park 

Forest View 

Fox I-ake 

Fox River Grove 

Fox River Valley Gardens 

Frankfort 

Franklin Park 

Freeburg 

Freeport 

Fulton 

Galena 

Galesburg 

Galva 

Gardner 

Geneseo 

Geneva 

Genoa 

Gibson City 

GifTord 

Gilberts 

Gillespie 

Gilman 

Girard 



14 

8 

56 

75 

34 

144 

48 

59 

3 

118 

12 

24 

45 

82 

6 

13 

1 

10 

2 

18 

2 

5 

12 

7 

38 

41 

84 

29 

31 

4 

10 

147 

109 

86 

34 

3 

3 

I 

2 

3 

211 

62 

5 

13 

8 

1 

42 

6 

2 

15 

21 

10 

49 

11 

20 

9 

1 

18 

60 

5 

57 

6 

10 

68 

4 

I 

14 

33 

7 

10 
1 
1 
9 
3 
4 



11 

7 

39 

62 

25 

139 

38 

48 

3 

98 

10 

21 

38 

59 

5 

9 

1 

6 

2 

12 

2 

5 

II 

7 

29 

30 

66 

20 

24 

3 

6 

114 

94 

64 

29 

3 

3 

I 

2 

3 

157 

50 

5 

9 

5 

1 

32 

3 

2 

10 

16 

3 

35 

8 

15 

9 

I 

16 

47 

5 

49 

6 

8 

48 

4 

1 

9 
23 
4 
7 
1 
1 
6 
3 
4 



Glen Carbon 

Glencoe 

Glendale Heights 

Glen Ellyn 

Glenview 

Glenwood 

Golf 

Grafton 

Granite City 

Grayslake 

Grayville 

Green Rock 

Greenup 

Greenville 

Gumee 

Hamilton 

Hampshire 

Hampton 

Hanover 

Hanover Park ... 

Harrisburg 

Hartford 

Harvard 

Harvey 

Harwood Heights 

Havana 

Hazel Crest 

Hebron 

Henry 

Herrin 

Herscher 

Hickory Hills 

Highland 

Highland Park ... 

Highwood 

Hillsboro 

Hillside 

Hinckley 

Hinsdale 

Hodgkins 

Hoffman Estates 

Hometown 

Homewood 

Hoopeston 

Huntley 

Indian Head Park 

Island Lake 

Itasca 

Jacksonville 

Jerome 

Jerseyville 

Johnston City ... 

Joliet 

Jonesboro 

Justice 

Kankakee 

Kenilworth 

Kewanee 

Kildeer 

Kincaid 

Kirkland 

Knoxville 

Lacon 

La Grange 

La Grange Park 

Lake Bluff 

Lake Forest 

Lake-in-the-Hills . . 

Lakemoor 

Lake Villa 

Lakewood 

Lake Zurich 

Lanark 

Lansing 

U Salle 



16 

4 

62 

42 

80 

21 

1 

2 

62 

16 

6 

3 

3 

13 

38 

4 

4 

I 

1 

60 

18 

6 

16 

85 

31 

8 

30 

2 

3 

15 

2 

31 

19 

70 

II 

6 

37 

2 

38 

14 

103 

6 

45 

14 

7 

12 

12 

38 

42 

4 

17 

5 

217 

3 

22 

76 

14 

21 

5 

I 

2 

3 

5 

37 

29 

13 

51 

17 

3 

7 

6 

35 

I 

60 

20 



II 

33 

43 

32 

62 

14 

1 

2 

53 

II 

3 

3 

3 

8 

26 

4 

4 

1 

1 

40 

12 

5 

12 

62 

23 

8 

23 

2 

3 

12 

2 

23 

13 

58 

7 

6 

29 

2 

27 

13 

80 

I 

34 

9 

7 

9 

8 

26 

34 

4 

11 

5 

175 

3 

19 
57 
II 
16 
5 
1 
2 
3 
4 
28 
23 
11 
38 
12 
3 
6 
6 
24 
1 
47 
17 



I 
9 
6 
2 
13 
5 



13 
3 



256 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued 



City 



ILLINOIS— CondniKd 



Lebanon 

Leland Grove ... 

Lemont 

Leroy 

Lewistown 

Libertyville 

Lincoln 

Lincolnshire 

Lincolnwood 

Lindenhurst 

Lisle 

Litchfield 

Lockport 

Lombard 

Loves Park 

Lynwood 

Lyons 

Mackinaw 

Macomb 

Madison 

Mahomet 

Manhattan 

Manito 

Manteno 

Marengo 

Marion 

Markham 

Maroa 

Marquette Heights 

Marseilles 

Marshall 

Martinsville 

MaryviUe 

Mascoutah 

Mason City 

Matteson 

Mattoon 

Maywood 

McCook 

McCullom Lake 

McHenry 

McLeansboro 

Melrose Park 

Mcndota 

Mcredosia 

Metamora 

Metropolis 

Midlothian 

Milan 

MilledgeviUe 

Millstadt 

Minier 

Minonk 

Minooka 

Mokena 

Molinc 

Momence 

Monee 

Monmouth 

Montgomery 

MonticeUo 

Morris 

Morrison 

Morton 

Morton Grove 

Mount Carmel 

Mount CarroU 

Mount Morris 

Mount Olive 

Mount Prospect .. 
Mount Pulaski 
Mount Sterling ... 
Mount Vernon 

Mount Zion 

Mundelein 



Total 

police 

employees 



12 

4 

20 

3 

3 

44 

28 

19 

45 

II 

47 

15 

27 

77 

30 

9 

27 

1 

30 

14 

4 

4 

2 

7 

15 

22 

38 

2 

3 

6 

12 

3 

9 

5 

4 

44 

48 

77 

16 

I 

39 

9 

63 

15 

I 

3 

14 

28 

14 

1 

4 

I 

I 

5 

14 

85 

5 

4 

26 

17 

7 

22 

6 

19 

62 

18 

2 

7 

4 

90 

3 

8 

34 

8 

39 



Total 
officers 



6 

4 

18 

3 

3 

34 

25 

15 

34 

II 

32 

12 

19 

61 

22 

8 

23 

1 

24 

II 

4 

4 

2 

7 

11 

17 

30 

2 

3 

6 

11 

3 

5 

5 

4 

33 

39 

62 

13 

I 

28 

5 

58 

12 

1 

3 

12 

23 

10 

1 

4 
1 
I 
5 

13 

64 

5 

4 

20 

II 

6 

17 

6 

14 

45 

12 

2 

4 

3 

70 

2 

4 

28 

7 

30 



Total 
civilians 



aty 



ILLINOIS— Continued 



Murphysboro 

Naperville 

Nashville 

National City 

Neoga 

New Athens . 

New Baden 

New Lenox 

Newton 

Niles 

Nokomis 

Normal 

Norridge 

North Aurora 

Nonhbrook 

North Chicago 

Northfield 

Northlake 

North Pekin 

North Riverside . 

Oak Brook 

Oakbrook Terrace 

Oak Forest 

Oak Lawn 

Oak Park 

Oakwood Hills 

O'Fallon 

Ogden 

Oglesby 

Okawville 

Old Shawneetown 

Olney 

Olympia Fields .. 

Oregon 

Orland Hills 

Orland Park 

Oswego 



Ottawa 

Palatine 

Palestine 

Palmyra 

Palos Heights . . 

Palos Hills 

Palos Park 

Pana 

Paris 

Park City 

Park Forest 

Park Ridge 

Paxton 

Pecatonica 

Pekin 

Peoria 

Peoria Heights 

Peotone 

Peru 

Petersburg 

Phoenix 

Pinckneyville ... 

Pitlsfield 

Plainfield 

Piano 

Polo 

Ponliac 

Pontoon Beach 

Port Byron 

Posen 

Princeton 

Prophetstown . . . 
Prospect Heights 

Quincy 

Ramsey 

Rantoul 

Red Bud 

Richmond 



Total 

police 

employees 



Total 
officers 



20 


15 


154 


113 


3 


3 


4 


4 


2 


2 


3 


3 


4 


4 


15 


14 


7 


6 


63 


51 


6 


3 


59 


50 


37 


31 


14 


13 


82 


60 


65 


44 


27 


20 


37 


32 


38 


30 


51 


39 


23 


17 


45 


34 


111 


104 


159 


115 


2 


2 


33 


25 


7 


7 


2 


2 


14 


9 


17 


16 


5 


5 


8 


7 


83 


58 


14 


12 


31 


26 


94 


66 


2 


2 


2 


1 


29 


26 


28 


25 


II 


9 


13 


8 


18 


14 


10 


6 


44 


37 


65 


48 


6 


6 


2 


2 


51 


46 


287 


208 


14 


10 


6 


6 


24 


19 


5 


5 


6 


3 


6 


5 


6 


6 


15 


10 


13 


9 


3 


3 


24 


18 


14 


9 


2 


2 


9 


8 


10 


10 


3 


3 


20 


18 


83 


72 


28 


22 


4 


4 


4 


4 



257 



Table 72. — Nmnber of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued 



City 



Total 

police 

employees 



Total 
ofTicers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



ILUNOIS— CondaiKd 



ILLINOIS— Continued 



Richton Park 

Ridgway 

Riverdale 

River Forest 

River Grove 

Riverside 

Robbins 

Robinson 

Rochelle 

Rochester 

Rockdale 

Rock Falls 

Rockford 

Rock Island 

Rockton 

Rolling Meadows 

Romeoville 

Roodhouse 

Roscoe 

Roselle 

Rosemont 

Round Lake 

Round Lake Beach — 
Round Lake Heights .. 

Round Lake Park 

Roxana 

Royalton 

Rushville 

St. Charles 

Salem 

Sandwich 

Sauget 

Sauk Village 

Savanna 

Schaumburg 

Schiller Park 

Seneca 

Sesser 

Shawneetown 

Shelbyville 

Shiloh 

Shorewood 

Silvis 

Skokie 

Sleepy Hollow 

Smithton 

South Barrington 

South Beloit 

South Chicago Heights 

South Elgin 

South Holland 

South Jacksonville ... 

South Roxana 

Sparta 

Springfield 

Spring Valley 

Staunton 

Steger 

Sterling 

Stickney 

Stockton 

Stone Park 

Streamwood 

Streator 

Sugar Grove 

Sullivan 

Summit 

Swansea 

Sycamore 

Taylorville 

Thoraasboro 

Thornton 

Tinley Park 

Tolono 

Tonica 



22 

2 

33 

39 

23 

22 

12 

10 

25 

6 

4 

23 

324 

111 

6 

60 

43 

4 

7 

44 

77 

II 

33 

2 

6 

7 

2 

5 

50 

19 

16 

7 

24 

9 

179 

36 

3 

5 

4 

8 

3 

13 

17 

137 

6 

2 

9 

II 

16 

17 

40 

6 

4 

II 

237 

9 

8 

15 

37 

17 

3 

17 

62 

27 

5 

8 

34 

15 

22 

22 

2 

g 

54 

2 

I 



18 

2 

27 

29 

17 

19 

6 

9 

19 

6 

4 

16 

248 

79 

5 

50 

32 

4 

6 

32 

66 

7 

23 

2 

6 

6 

2 

5 

43 

14 

10 

7 

17 

9 

131 

28 

3 

5 

4 

7 

3 

12 

II 

106 

5 

2 

g 

7 

II 

13 

31 

5 

3 

8 

196 

5 

5 

12 

25 

13 

3 

12 

44 

21 

5 

7 

27 

12 

16 

15 

2 

7 

46 

2 

1 



48 



Tremont 

Trenton 

Troy 

Tuscola 

University Park 

Urbana 

Vandalia 

Venice 

Vernon Hills 

Vienna 

Villa Grove 

Villa Park 

Virden 

Warren 

Warrensburg 

Warrenville 

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 

Winfield 

Winnebago 

Winnetka 

Winthrop Harbor 

Wood Dale 

Woodhull 

Woodridge 

Wood River 

Woodstock 

Worth 

Yorkville 

Zeigler 

Zion 



INDLU^A 



Alexandria 

Anderson 

Angola 

Auburn 

Batesville 

Bedford 

Beech Grove 

Berne 

Bloomington . . . 

Bluffton 

Boonville 

Brazil 

Bremen 

Bums Harbor 
Cambridge City 

Carmel 

Cedar Lake 

Charlestown . . . 
Chesterfield .... 

Clarksville 

Columbus 

Connersville . . . 



2 

3 
14 

6 
20 
54 
17 
13 
38 

2 

4 
50 

9 

3 

1 
21 
15 
13 

g 

15 

18 

170 

5 
41 
27 

8 
15 
28 
20 
49 
75 
72 

9 
24 
15 
59 
15 
15 

2 
35 
13 
46 

1 
51 
24 
38 
23 

9 

4 
55 



2 
3 

10 

5 

13 

43 

12 

II 

27 

2 

4 

35 

5 

3 

1 

16 

12 

9 

7 

10 

13 

120 

4 

35 

22 

4 

14 

21 

14 

36 

54 

50 

4 

20 

II 

43 

10 

14 

2 

24 

9 

32 

I 

38 

18 

27 

23 

9 

3 

38 



14 


10 


4 


163 


130 


33 


16 


12 


4 


22 


17 


5 


12 


7 


5 


37 


31 


6 


31 


24 


7 


5 


5 




80 


60 


20 


19 


16 


3 


1 1 


11 




13 


9 


4 


12 


g 


4 


9 


5 


4 


5 


5 




65 


49 


16 


17 


12 


5 


12 


8 


4 


6 


5 


1 


36 


29 


7 


88 


64 


24 


35 


31 


4 



258 



Table 72.— Number of FuU-dme Law Enforcement Employees, Cities, October 31, 1990 — Continued 



City 



Total 

police 

employees 



Total 
ofTicers 



Total 
civilians 



aty 



Total 

police 

employees 



Total 
officers 



INDIANA— Contioiwd 



INDIANA— Contlniied 



Crawfordsville . . . 

Crown Point 

Decatur 

Dunkirk 

Dyer 

East Chicago 

Edinburgh 

Elkhart 

Elwood 

Evansville 

Fairmount 

Fort Wayne 

Garrett 

Gary 

Gas City 

Georgetown 

Goshen 

Greenfield 

Greenwood 

GrifTith 

Hammond 

Hartford City .... 

Highland 

Hobart 

Huntington 

Indianapolis 

Jasonville 

Jasper 

Jeffersonville 

KendallviUe 

Kingsford Heights 

Kokomo 

Lafayette 

La Porte 

Lawrence 

Lebanon 

Ligonier 

Linton 

Logansport 

Long Beach 

Loogootee 

Lowell 

Marion 

Martinsville 

MerrillviUe 

Michigan City ... 

Mishawaka 

Monticello 

Moorcsville 

Muncie 

Munster 

Nappanee 

New Albany 

New Castle 

New Haven 

Noblesville 

North Manchester 
North Vernon ... 

Petersburg 

Plainfield 

Plymouth 

Portage 

Portland 

Princes Lakes 

Rensselaer 

Richmond 

Rushville 

Schererville 

Scottsbur^ 

Sellersburg 

Speedway 

TeU City 

Terre Haute 

Union City 

Valparaiso 



39 
29 
20 
7 
22 

126 
15 

116 
20 

262 
8 

345 
15 

308 
13 
2 
41 
26 
53 
36 

224 

16 

45 

39 

35 

1,369 

4 

21 

50 

19 

3 

124 

104 
39 
46 
24 
8 
13 
40 
5 
3 
15 
69 
21 
52 
98 
85 
16 
18 

135 
40 
13 
74 
41 
14 
39 
13 
17 
7 
26 
25 
48 
16 
2 
11 
98 
16 
35 
11 
16 
33 
14 

130 
10 
50 



28 
23 
15 

4 
16 
95 
10 
93 
16 
243 

4 

306 

10 

208 

9 

2 
36 
21 
38 
26 
184 
11 
38 
30 
29 
984 

4 
15 
43 
14 

3 
100 
82 
35 
34 
20 

8 

8 
35 

5 

3 
11 
65 
16 
44 
84 
75 
10 
13 
114 
31 

9 
58 
38 
10 
31 
10 
13 

4 
20 
19 
38 
12 

2 

7 
76 
12 
28 

8 
12 
25 

9 
115 

6 
36 



II 
6 
5 
3 
6 

31 
5 

23 
4 

19 
4 

39 

5 

100 

4 



5 
5 

15 

10 

40 

5 

7 

9 

6 

385 



Vincennes 

Wabash 

Warsaw 

West Lafayette 
West Terre Haute 

Winchester 

Winona Lake 



Adel 

Albia 

Algona 

Altoona 

Ames 

Anamosa 

Ankeny 

Atlantic 

Audubon 

Belle Plaine 

Belmond 

Bettendorf . . . , 

Bloomfield 

Boone 

Burlington 

Camanche 

Carlisle 

Carroll 

Carter Lake 
Cedar Falls ... 
Cedar Rapids . 

CenterviUe 

Chariton 

Charles City .. 

Cherokee 

Clarinda 

Clarion 

Clear Lake 

Clinton 

Clive 

Coralville 

Council Bluffs 

Cresco 

Creston 

Davenport 

Decorah 

Denison 

Des Moines 

De Witt 

Dubuque 

Dyersville 

Eagle Grove 

Eldora 

Eldridge 

Emmetsburg 

Estherville 

Evansdale 

Fairfield 

Forest City ... 
Fort Dodge ... 
Fort Madison 

Gamer 

Glenwood 

Grinnell 

Grundy Center 

Hampton 

Harlan 

Hawarden 

Hiawatha 

Humboldt 

Independence 

Indianola 

Iowa City 

Iowa Falls 

Jefferson 



IOWA 



5 

10 

14 

II 

63 

6 

30 

13 

4 

5 

4 

44 

9 

15 

48 

6 

5 

20 

7 

54 

199 

17 

8 

20 

II 

14 

6 

17 

49 

16 

24 

106 

7 

15 

176 

17 

16 

447 

7 

83 

8 

7 

6 

5 

7 

11 

6 

19 

8 

45 

28 

5 

7 

14 

4 

12 

9 

4 

5 

7 

14 

16 

69 

14 

8 



30 
24 
31 
33 

4 
10 

5 



5 

7 

9 

10 

51 

5 

23 

II 

4 

4 

4 

34 

7 

14 

36 

6 

5 

13 

6 

44 

155 

12 

7 

13 

9 

9 

6 

12 

43 

12 

22 

90 

7 

11 

141 

13 

12 

340 

7 

76 

5 

7 

6 

5 

7 

11 

5 

13 

7 

42 

22 

5 

7 

13 

4 

7 

8 

4 

5 

7 

10 

14 

55 

10 

8 



259 



Table 72. — Number of Full-tiine Law Enforcement Employees, Cities, October 31, 1990 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



IOWA— Condnned 



Johnston 

Keokuk 

Knoxville 

Lamoni 

Le Claire 

Le Mars 

Manchester 

Maquoketa 

Marion 

Marshalltown 

Mason City 

Missouri Valley . 

Monticello 

Mount Pleasant 
Mount Vernon 

Muscatine 

Nevada 

New Hampton 

Newton 

Norwalk 

Oelwein 

Onawa 

Orange City 

Osage 

Osceola 

Oskaloosa 

Ottumwa 

Pella 

Perry 

Pleasant Hill .... 

Red Oak 

Rock Rapids 

Rock Valley 

Sac City 

Sergeant Bluff ... 

Sheldon 

Shenandoah 

Sioux Center 

Sioux City 

Spencer 

Spirit Lake 

Storm Lake 

Story City 

Tama 

Tipton 

Urbandale 

Vinton 

Washington 

Waterloo 

Waukee 

Waukon 

Waverly 

Webster City . . . . 
West Burlington . 
West Des Moines 

West Union 

Windsor Heights 
Winterset 



KANSAS 



Abilene 

Andover 

Arcadia 

Arkansas City 

Arma 

Atchison 

Attica 

Augusta 

Baldwin City 

Basehor 

Baxter Springs 

BeUeviUe 

Beloit 

Blue Rapids 



KANSAS— Continaed 



9 

37 

15 

3 

7 

II 

12 

14 

36 

56 

56 

5 

8 

13 

4 

44 

8 

6 

31 

8 

13 

5 

4 

6 

8 

20 

39 

14 

15 

8 

14 

3 

3 

5 

5 

11 

12 

6 

137 

26 

7 

16 

4 

5 

4 

36 

7 

8 

146 

5 

6 

13 

19 

6 

51 

5 

II 

9 



8 
26 
II 
3 
5 
11 
8 

10 
29 
39 
41 
5 
5 

12 

4 

35 

8 

6 

27 

7 

10 

5 

4 

6 

7 

17 

33 

11 

II 

8 

10 

3 

3 

5 

5 

7 

9 

6 

112 

19 

6 

15 

4 

4 

4 

29 

7 

8 

122 

5 

6 

12 

14 

6 

43 

5 

10 
7 



24 



Bonner Springs 

Buhler 

Burden 

Burlingame 

Burlington 

Bushton 

Caldwell 

Caney 

Carbondale 

Cedar Vale 

Chanule 

Chapman 

Cheney 

Cherokee 

Cherryvale 

Cimarron 

Clay Center .... 

Clearwater 

Clyde 

CoffeyviUe 

Colby 

Columbus 

Colwich 

Concordia 

Conway Springs 
Council Grove 

Derby 

Douglas 

Downs 

Eastborough 

Edgerton 

Edwardsville 

El Dorado 

Elkhart 

Ellinwood 

Ellis 

Ellsworth 

Elwood 

Eudora 

Fairway 

Fort Scott 

Frankfort 

Fredonia 

Frontenac 

Galena 

Garden City 

Garden Plain ... 

Gardner 

Gamett 

Girard 

Goddard 

Goodland 

Grandview Plaza 

Great Bend 

Halstead 

Hays 

Haysville 

Herington 

Hesston 

Hiawatha 

Highland 

Hillsboro 

Hoisington 

Holcomb 

Holton 

Holyrood 

Horton 

Hoxie 

Hugoton 

Humboldt 

Hutchinson 

Independence ... 

lola 

Junction City ... 
Kanopolis 



16 


14 


2 


2 


2 


2 


8 


6 


4 


4 


5 


5 


2 


2 


2 


2 


24 


20 


2 


2 


3 


3 


2 


2 


5 


5 


2 


2 


7 


6 


5 


5 


27 


21 


15 


15 


7 


6 


2 


2 


13 


9 


4 


4 


5 


5 


28 


21 


4 


3 


2 


2 


6 


6 


2 


2 


11 


II 


39 


34 


3 


3 


5 


5 


4 


4 


5 


5 


3 


3 


3 


3 


7 


7 


21 


16 


8 


7 


7 


7 


9 


9 


67 


42 


11 


9 


11 


7 


5 


5 


3 


3 


12 


10 


3 


3 


37 


26 


5 


5 


33 


25 


24 


15 


9 


5 


5 


5 


7 


6 


2 


2 


4 


3 


9 


6 


3 


3 


5 


5 


2 


2 


7 


5 


2 


2 


6 


5 


5 


5 


74 


50 


28 


20 


19 


14 


61 


47 
1 



260 



Table 72. — Number of FuU-time Law Enforcement Employees, Cities, October 31, 1990 — Continued 



C.tv 



Total 
police 

employees 



Total 
officers 



Total 
civilians 



Cit> 



Total 

police 

employees 



Total 
officers 



KANSAS— Continiied 



Kansas City 

Kingman 

Kinsley 

Kiowa 

Lacrosse 

Lacygne 

Lake Quivira 

Lansing 

Lawrence 

Leavenworth 

Leawood 

Lebo 

Lenexa 

Le Roy 

Liberal 

Lyndon 

Lyons 

Maize 

Marion 

Marquette 

Marysville 

McPherson 

Meade 

Medicine Lodge 

Merriam 

Minneapolis 

Mission 

Moundridge 

Mount Hope 

Mulvane 

Neodesba 

Newton 

North Newton ... 

Norton 

Oakley 

Oberlin 

Olathe 

Osage City 

Osborne 

Oswego 

Ottawa 

Overland Park ... 

Oxford 

Paola 

Park City 

Parker 

Parsons 

Pawnee Rock 

Pittsburg 

Prairie Village ... 

Pratt 

Quinter 

Roeland Park .... 

Rossville 

Russell 

SL Francis 

St. John 

St. Marys 

Scott City 

Sedan 

Sedgwick 

Seneca 

Shawnee 

Silver Lake 

Smith Center .... 

South Haven 

South Hutchinson 

Spring Hill 

Stafford 

Steriing 

Stockton 

Sublette 

Tonganoue 

Topeka 

Towanda 



423 
10 
3 
2 
3 

2 

9 

102 

60 

48 
1 

91 
1 

31 
2 
6 
3 
3 
1 
6 

25 
3 
4 

30 
5 

18 
3 
1 

13 
7 

23 
1 
6 

10 
4 
102 
6 
3 
5 

28 

171 

2 

15 

10 
1 

32 
I 

43 

48 

15 
I 

10 
1 

I 

4 
5 
9 
4 
2 
5 
65 
I 
3 
1 
6 
5 
4 
5 
4 
2 
4 
349 
2 



297 
6 
3 
2 
3 
1 
2 
8 

73 

45 

35 
1 

54 
1 

25 
2 
5 
2 
3 
1 
5 

24 
3 
4 

25 
5 

17 
3 
1 
8 
6 

19 
1 
5 

10 
4 

80 
6 
3 
5 

25 

133 

2 

10 
9 
1 

24 

36 
38 
14 
1 
9 
1 
7 
1 

4 
5 
6 
4 
2 
5 
50 
1 
3 
1 
5 
5 
4 
4 
4 
2 
4 
253 
2 



126 
4 



37 



22 



15 



KANSAS— Contioued 



Ulysses 

Valley Falls . 
Wa Keeney 
Wakefield ... 

Wamego 

Waterville 
Wellington 
WeUsviUe . . . 
Westwood 

Wichiu 

Winfield .... 
Yates Center 



KENTUCKY 



96 



Adairville 

Albany 

Alexandria 

Anchorage 

Ashland 

Auburn 

Audubon Park . 

Augusta 

Baibourville . . . 

Bardstown 

BeattyviUe 

Beaver Dam . . . 

Bellevue 

Benham 

Benton 

Berea 

Bloomfield 

Bowling Green 
Brandenburg . . . 

Brodhead 

Brooksville 

Brownsville 

Burgin 

Burkesville 

Biunside 

Cadiz 

Calhoun 

Calvert City ... 
Campbellsburg . 
Campbellsville 

Carlisle 

CarroUton 

Catlettsbuig 

Cave City 

Central City ... 

Qarkson 

Qinton 

Qoverport 

Cold Spring ... 

Columbia 

Corbin 

Covington 

Crab Orchard 

Crittenden 

Crofton 

Cimiberland . . . 

Cynthiana 

Danville 

Dawson Springs 

Dayton 

Dixie 

Dr> Ridge 

Earlington 

Edgewood 

Edmonton 

Elizabethtown 

Elkton 

Elsmere 

Eminence 

Erianger 





6 










10 








16 


12 










589 


445 


25 


19 




3 










13 




55 


48 














13 




18 


14 










10 












23 


17 






89 


70 










































13 


12 






10 


10 


































20 


16 


105 


89 


















18 


15 


23 


17 






















10 








43 


31 


6 




10 




6 




29 


24 



261 



Table 72.— Number of Full-time Law Enforcement Employees, Cities, October 31, 1990— Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



KENTUCKY— Continued 



Evarts 

Falmouth 

Ratwoods 

Fleming-Neon 

Flemingsburg 

Florence 

Fort Mitchell 

Fort Thomas 

Fort Wright 

Frankfort 

Franklin 

Fulton 

Gamaliel 

Georgetown 

Glasgow 

Grayson 

Greensburg 

Greenup 

Greenville 

Guthrie 

Hardinsburg 

Harlan 

Harrodsburg 

Hartford 

Hawesville 

Hazard 

Henderson 

Hickman 

Highland Heights 

Hillview 

Hindman 

Hodgenville 

HopkinsviUe 

Horse Cave 

Hustonville 

Independence 

Indian Hills 

Irvine 

Irvington 

Jackson 

Jamestown 

Jefiersontown 

Jenkins 

Junction City 

LaCenter 

La Grange 

Lakeside Park 

Lancaster 

Lawrenceburg 

Lebanon 

Lebanon Junction 

Leitchfield 

Lewisburg 

Lewisport 

Lexington 

Liberty 

Livermore 

London 

Louisa 

Louisville 

Loyall 

Ludlow 

Lynch 

Madisonville 

Manchester 

Marion 

Martin 

Mayfield 

Maysville 

Middlesboro 

Millersburg 

Minor Lane Heights 

Monticello 

Morehead 

Morganfield 



2 

13 

11 

3 

10 

43 

12 

24 

8 

59 

22 

13 

2 

38 

22 

8 

9 

2 

7 

4 

3 

13 

21 

4 

1 

23 

56 

10 

5 

1 

2 

g 

49 

4 

1 

13 

6 

12 

2 

9 

4 

43 

5 

3 

1 

8 

7 

7 

16 

16 

2 

15 

1 

I 

516 

6 

1 

17 

11 

829 

1 

8 

3 

47 

12 

6 

4 

30 

26 

25 

2 

2 

10 

20 

15 



2 

9 

7 

2 

6 

40 

12 

23 

7 

50 

15 

9 

2 

28 

22 

g 

5 

2 

7 

4 

3 

9 

16 

4 

1 

21 

48 

6 

5 

1 

2 

6 

44 

4 

1 

10 

6 

8 

2 

9 

4 

36 

4 

3 

1 

7 

7 

7 

12 

11 

2 

10 

1 

1 

385 

4 

1 

17 

7 

649 

1 

4 

2 

38 

8 

6 

4 

25 

21 

21 

2 

2 

8 

14 



10 



131 

2 



4 
180 



KENTUCKY— Continued 

Morgantown 

Mount Sterling 

Mount Vernon 

Mount Washington 

Muldraugh 

Munfordville 

Murray 

New Castle 

New Haven 

Newport 

Nicholasville 

Nortonville 

Oak Grove 

Olive Hill 

Owensboro 

Owenton 

Owingsville 

Paducah 

Paintsville 

Paris 

Park City 

Park HiUs 

Perryville 

Pewee Valley 

Pikeville 

Pineville 

Prestonsburg 

Princeton 

Prospect 

Providence 

Raceland 

RadclifT 

Ravenna 

Richmond 

Russell 

Russell Springs 

Russellville 

St. Matthews 

Salyersville 

Scottsville 

Sebree 

Shelbyville 

Shepherdsville 

Shively 

Somerset 

Southgate 

Springfield 

Stanford 

Stanton 

Sturgis 

Taylor Mill 

Taylorsville 

Tompkinsville 

Uniontown 

Vanceburg 

Versailles 

Villa HiUs 

Vine Grove 

Walton 

Warsaw 

West Buechel 

West Liberty 

West Pointe 

Wheelwright 

Whitesburg 

Wilder 

Williamsburg 

Williamstown 

Wilmore 

Winchester 

Wingo 

Worthington 



5 

19 

8 

6 

2 

1 

29 

2 

1 

52 

34 

1 

6 

6 

122 

3 

3 

78 

11 

21 

2 

6 

1 

3 

20 

7 

18 

14 

5 

9 

3 

38 

2 

48 

13 

4 

28 

31 

4 

16 

1 

16 

6 

26 

28 

5 

6 

ID 

6 

5 

6 

2 

12 

2 

4 

22 

6 

6 

3 

3 

7 

10 
4 
1 
5 
5 
9 
7 
5 
37 
1 
2 



5 

14 

7 

6 

2 

1 

24 

2 

1 

45 

28 

1 

6 

5 

96 

3 

3 

72 

10 

17 

2 

5 

1 

3 

14 

6 

14 

13 

5 

9 

3 

29 

2 

39 

13 

4 

20 

26 

4 

12 

1 

14 

6 

21 

26 

5 

6 

6 

6 

5 

6 

2 

9 

2 

4 

17 

6 

5 

3 

2 

7 

6 

2 

1 

5 

5 

9 

3 

5 

26 

1 

2 



262 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



Alexandria . . . 

Ballwin 

Baton Rouge 

Berwick 

Bogalusa 

Bossier City 
Breaux Bridge 
Church Point 

Crowley 

DeQuincy 

Farmerville 

Franklin 

Franklinton 

Gonzales 

Gretna 

Haraban 

Haynesville 

Houma 

Jeanerette 

Jena 

Jennings 

Jonesboro 

Kaplan 

Kenner 

Kentwood 

Kinder 

Lafayette 

Lake Charles 

Leesville 

Lockport 

Mamou 

Mandeville . . . 

Minden 

Monroe 

Morgan City . 
New Iberia .. 
New Orleans' 

Patterson 

Pineville 

Plaquemine 
Ponchatoula 

Ruston 

St. Martinville 
Sbreveport . . . 
Simmesport 

Tallulah 

Vidalia 

ViUe Platte .. 

Vinton 

Vivian 

Welsh 

Westlake 

West Monroe 

Westwego 

Winnfield .... 
Zachary 



LOUISIANA 



MAINE 



Ashland 

Auburn 

Augusta 

Baileyville 

Bangor 

Bar Harbor 

Bath 

Belfast 

Berwick 

Bethel 

Biddeford 

Boothbay Harbor 

Brewer 

Bridgton 

Brunswick 

Bucksport 



151 

5 
755 

9 
44 
133 
14 
14 
28 

9 

9 
20 
13 
28 
76 
24 

8 
65 
18 

4 
31 
15 
16 
160 
10 

6 

228 

130 

33 

4 
12 
30 
23 
193 
46 
75 
1.734 

9 
41 
28 
13 
40 
20 
542 

4 
14 
13 
28 
12 
II 

8 
15 
57 
20 
16 
24 



128 

4 

629 

9 

34 

118 

14 

14 

26 

9 

9 

14 

13 

28 

65 

24 

8 

50 

18 

4 

30 

15 

16 

113 

10 

6 

163 

127 

27 

4 

12 

30 

23 

142 

42 

58 

9 
38 
27 
13 
33 
15 
441 

4 
14 
13 
28 
12 
11 

8 
12 
54 
20 
15 
22 



23 

1 

126 



15 



47 



7 

5 

101 



MAINE— Continued 



Buxton 

Calais 

Camden 

Cape Elizabeth ... 

Caribou 

Carrabassett Valley 

Cumberland 

Damariscotta 

Dexter 

Dixfield 

Dover-Foxcroft . . . 
East Millinocket .. 

Eastport 

Eliot 

Ellsworth 

Fairfield 

Falmouth 

Farmington 

Fort Fairfield 

Fort Kent 

Freeport 



Fryeburg 

Gardiner 

Gorham 

Hallowell 

Hampden 

Houlton 

Jay 

Jonesport 

Kennebunk 

Kennebunkport 

Kittery 

Lebanon 

Lewiston 

Limestone 

Lincoln 

Lisbon 

Livermore Falls ... 

Lubec 

Machias 

Madawaska 

Madison 

Mechanic Falls 

Medway 

Mexico 

Milbridge 

Millinocket 

Milo 

Monmouth 

Mount Desert 

Newport 

North Berwick 

Norway 

Oakland 

Ogunquit 

Old Orchard Beach 

Old Town 

Orono 

Oxford 

Paris 

Phippsburg 

Pittsfield 

Portland 

Presque Isle 

Princeton 

Richmond 

Rockland 

Rockport 

Rumford 

Sabatius 

Saco 

Sanford 

Scarborough 

Skowhegan 

South Berwick 



2 


2 


11 


7 


14 


9 


17 


12 


16 


15 


2 


1 


13 


10 


2 


2 


5 


5 


3 


3 


4 


4 


5 


5 


4 


4 


8 


7 


14 


10 


10 


9 


17 


12 


9 


8 


5 


4 


8 


4 


16 


11 


4 


4 


11 


10 


20 


14 


5 


5 


12 


7 


18 


13 


11 


7 


21 


15 


16 


11 


22 


17 


8 


7 


93 


76 


4 


4 


8 


7 


19 


14 


11 


6 


2 


2 


3 


3 


7 


6 


5 


5 


3 


3 


2 


2 


4 


4 


18 


14 


3 


3 


3 


3 


9 


5 


4 


4 


8 


7 


5 


5 


7 


6 


12 


7 


15 


12 


17 


13 


18 


13 


3 


3 


7 


6 


9 


5 


203 


155 


25 


20 


2 


2 


4 


4 


24 


17 


6 


4 


17 


16 


5 


4 


31 


26 


44 


33 


32 


23 


16 


14 


13 


8 



See footnote at end of table. 



263 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued 



City 



Tolal 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
ofTicers 



Total 
civilians 



MAINE— CoDtinued 

South Portland 

Southwest Harbor 

Standish 

Thomaston 

Topsham 

Van Buren 

Waldoboro 

Washburn 

Waterville 

Wells 

Westbrook 

Wilton 

Windham 

Winslow 

Winthrop 

Wiscasset 

Yarmouth 

York 

MARYLAND 

Aberdeen 

Annapolis 

Baltimore 

Bel Air 

Berlin 

Berwyn Heights 

Bladensburg 

Brunswick 

Cambridge 

Capitol Heights 

Centreville 

Chestertown 

Cheverly 

Cottage City 

Crisfield 

Cumberland 

Delmar 

Denton 

District Heights 

Easton 

Edmonston 

Elkton 

Federalsburg 

Forest Heights 

Frederick 

Frostburg 

Fruitland 

Glenarden 

Goldsboro 

Great Oaks 

Greenbelt 

Greensboro 

Hagerstown 

Hampstead 

Hancock 

Havre de Grace 

Hurlock 

Hyattsville 

Landover Hills 

La Plata 

Laurel 

Lonaconing 

Luke 

Manchester 

Momingside 

Mount Rainier 

North Beach 

North East 

Oakland 

Ocean City 

Ocean Pines 

Oxford 

Pocomoke City 

Port De[)osit 



46 

152 

3,390 

41 

12 

5 

19 

13 

46 

8 

7 

8 

II 

3 

9 

56 



47 
4 

30 
7 
5 

87 

17 
9 

II 
1 

11 

56 

3 

111 

3 

4 

30 
6 

31 
3 
4 

57 
2 
2 
3 
5 

11 
9 
7 
5 

98 

15 
3 

13 
4 



37 

114 

2,839 

30 
7 
3 

15 

II 

34 
7 
7 
7 

10 
3 
8 

51 
7 
9 
7 

33 
4 

22 
7 
4 

73 

13 
8 
9 
1 
6 

40 
3 

93 
3 
3 

22 
6 

24 
3 
4 

42 
2 
2 
3 
5 
6 
9 
6 
4 

77 

11 
3 
9 
4 



9 
38 
551 
11 
5 
2 
4 
2 

12 
1 



MARYLAND— Continued 

Preston 

Princess Anne 

Ridgely 

Rising Sun 

Riverdale 

Rock Hall 

St. Michaels 

Salisbury 

Smithsburg 

Snow Hill 

Sparrows Point 

Sykesville 

Takoma Park 

Taneytown 

Thurmont 

University Park 

Upper Marlboro 

Westemport 

Westminster 

MASSACHUSETTS 

Acton 

Acushnet 

Amesbury 

Amherst 

Andover 

Arlington 

Ashbumham 

Ashby 

Ashfield 

Ashland 

Alhol 

Auburn 

Avon 

Ayer 

Barnstable 

Bedford 

Belchertown 

Bellingham 

Belmont 

Berlin 

Beverly 

Blackstone 

Bolton 

Boston 

Bourne 

Boxboro 

Boxford 

Boylston 

Braintree 

Brewster 

Bridgewater 

Brookline 

Cambridge 

Carver 

Charlton 

Chatham 

Chelmsford 

Chicopee 

Clinton 

Cohasset 

Concord 

Dalton 

Danvers 

Dartmouth 

Dedham 

Deerfield 

Dennis 

Dighton 

Douglas 

Dover 

Dracut 

Duxbury 

East Bridgewater 



35 
15 
34 
42 
66 
78 

6 

2 

2 
20 
25 
30 
17 
19 
100 
27 
15 
27 
58 

5 
86 
16 

8 

2,662 

37 

7 
11 

7 
85 
20 
31 
158 
295 
19 
16 
24 
63 
119 
24 
16 
37 
12 
54 
59 
62 

6 
43 
10 
10 
15 
37 
27 
21 



30 
13 
29 
32 
50 
68 

5 

2 

2 
19 
20 
24 
14 
14 
89 
26 
11 
22 
52 

4 
83 
13 

4 

1,979 

30 

6 
11 

7 
77 
16 
30 
147 
265 
14 
12 
22 
54 
116 
23 
16 
31 
II 
44 
50 
59 

5 
34 
10 

7 

15 
35 
25 
21 



264 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



MASSACHUSETTS— ConHnued 



MASSACHUSETTS— Continued 



Easlham 

East Longmeadow 

Easton 

Edgartown 

Everett 

Fall River 

Fitchburg 

Foxboro 

Framingham 

Franklin 

Freetown 

Gardner 

Georgetown 

Gloucester 

Granby 

Hadley 

Hamilton 

Hampden 

Hanson 

Hardwick 

Harvard 

Haverhill 

Hingham 

Holden 

HoUiston 

Hopedale 

Hopkinton 

Hudson 

Hull 

Ipswich 

Lakeville 

Lawrence 

Lee 

Leicester 

Leominster 

Lexington 

Lincoln 

Littleton 

Longmeadow 

Ludlow 

Lynn 

Lynnfield 

Maiden 

Manchester 

Mansfield 

Marblehead 

Marion 

Marlborough 

Marshfield 

Mashpee 

Mattapoisett 

Maynard 

Medfield 

Medford 

Melrose 

Mendon 

Methuen 

Middleboro 

Milford 

Millbury 

Milton 

Montague 

Nahant 

Nantucket 

Needham 

New Bedford 

Newton 

North Adams 

Northampton 

North Andover . . . 
North Attleboro .. 

Northbridge 

Norton 

Norwood 

Orange 



21 
25 
29 
13 
84 

287 
86 
27 

120 
34 
19 
36 
12 
64 
10 
7 
15 
13 
15 
2 
10 

100 
48 
21 
21 
U 
19 
36 
31 
24 
16 

163 
II 
18 
72 
59 
16 
14 
31 
32 

168 
25 

100 
16 
31 
40 
13 
65 
43 
31 
16 
24 
22 

125 
55 
6 
80 
45 
40 
22 
56 
18 
11 
29 
50 

267 

238 
33 
60 
47 
52 
18 
25 
73 
15 



15 
23 
28 
12 
78 

225 
76 
26 

108 

29 

14 

34 

8 

59 

8 

5 

14 
9 
13 
2 
6 
91 
43 
19 
21 
10 
14 
31 
26 
23 
14 

150 
10 
14 
66 
52 
12 
13 
31 
31 

153 
19 
90 
14 
26 
38 
II 
62 
39 
23 
16 
22 
17 

117 
53 
6 
66 
39 
39 
17 
54 
16 
10 
24 
47 

244 

204 
29 
57 
39 
42 
17 
22 
63 
II 



Orleans 

Oxford 

Peabody 

Pembroke 

Pepperell 

Princeton 

Provincetown . . . 

Quincy 

Raynham 

Reading 

Rehoboth 

Rockport 

Rowley 

Rutland 

Salem 

Saugus 

Scituate 

Seekonk 

Sharon 

Sherbom 

Shirley 

Somerset 

Southboro 

South Hadley ... 

Spencer 

Springfield 

Sterling 

Stockbridge 

Stonehara 

Stoughton 

Stow 

Sturbridge 

Sudbury 

Sunderland 

Swampscott 

Taunton 

Tisbury 

Uxbridge 

Wakefield 

Walpole 

Waltham 

Ware 

Wareham 

Watertown 

Webster 

Welineet 

Wenham 

Westboro 

West Boylston ... 
West Bridgewater 

Westfield 

Westford 

Westminster 

Weston 

Westport 

West Springfield 

Westwood 

Weymouth 

Wilbraham 

Wilmington 

Winchendon 

Winchester 

Wobum 

Worthington 

Yarmouth 



MICHIGAN 



Adrian 

Albee Township 

Albion 

Algonac 

Allegan 

Allen Park 

Alma 



27 


20 


23 


18 


99 


91 


29 


28 


13 


12 


4 


1 


22 


17 


232 


192 


24 


18 


43 


37 


26 


21 


17 


17 


13 


8 


17 


15 


51 


51 


36 


30 


36 


31 


29 


24 


15 


15 


11 


10 


35 


30 


15 


12 


29 


28 


15 


12 


620 


456 


14 


II 


6 


6 


44 


39 


55 


53 


17 


12 


15 


II 


32 


26 


4 


4 


32 


31 


103 


98 


15 


13 


17 


16 


47 


45 


40 


37 


146 


138 


17 


17 


48 


45 


84 


72 


28 


26 


23 


21 


II 


10 


30 


25 


13 


12 


19 


18 


69 


64 


35 


27 


9 


8 


29 


25 


27 


23 


74 


67 


32 


30 


106 


94 


25 


24 


42 


40 


11 


10 


46 


39 


80 


74 


7 


7 


55 


45 



265 



Table 72.— Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 

civilians 



City 



Total 

police 

employees 



Total 
officers 



MICHIGAN— Condnned 



Almont 

Alpena 

Ann Arbor 

Arbela Township 

Armada 

Atlas Township 

Auburn 

Auburn Hills 

Augusta 

Bad Axe 

Bangor 

Baraga 

Barry Township 

Bath Township 

Battle Creek 

Bay City 

Beaverton 

Bedford Township 

Belding 

Bellaire 

Belleville 

Benton Harbor 

B«nton Township 

Berkley 

Berrien Springs-Oronoko 

Beverly Hills 

Big Rapids 

Birch Run 

Birmingham 

Blackman Township 

Blissfield 

Bloomfield HiUs 

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 

Caio 

CarroUton Township 

Carson City 

CarsonviUe 

CaseviUe 

CaseviUe Township 

Cass City 

Cassopolis 

Cedar Springs 

Center Line 

CentrevUle 



Charlevoix 

Charlotte 

Cheboygan 

Chelsea 

Chesaning 

Chesterfield Township 
Chikaming Township 
Chocolay Township .. 

Clare 

Oawson 

Qay Township 

Ointon 



MICHIGAN— Continued 



4 

20 

206 

1 

4 

3 

2 

49 

1 

7 

4 

2 

2 

7 

150 

80 

2 

10 

10 

1 

9 

26 

27 

35 

9 

30 

20 

2 

58 

18 

5 

27 

84 

1 

10 

3 

7 

4 

13 

5 

1 

30 

10 

17 

I 

38 

19 

2 

1 

67 

6 

3 

8 

6 

3 

1 

2 

2 

3 

6 

6 

31 

2 

6 

21 

11 

10 

5 

15 

1 

4 

9 

22 

17 

3 



4 

16 

170 

4 

3 

1 

38 

1 

6 

4 

2 

2 

6 

107 

73 

2 

9 

9 

1 

8 

20 

22 

32 

8 

26 

15 

2 

37 

17 

4 

23 

68 

1 

6 

3 

6 

4 

12 

5 

23 
9 

15 
1 

33 

15 
2 
1 

47 
3 
3 
7 
5 
3 
1 
2 
2 
3 
5 
5 

25 
2 
6 

20 

11 
7 
5 

12 
1 
3 
7 

20 

12 
3 



Clio-Vienna 

Coldwater 

Coleman 

Coloma 

Coloma Township 

Colon 

Columbia Township 

Concord Township 

Constantino 

Coopersville 

Corunna 

Covert Township 

Croswell 

Crystal Falls 

Davison 

Davison Township 

Dearborn 

Dearborn Heights 

Decatur 

Deckerville 

Denmark Township . . . 

Detour Village 

Detroit 

De Witt 

De Witt Township 

Douglas 

Dowagiac 

Dryden Township 

Durand 

East Detroit 

East Grand Rapids 

East Jordan 

East Lansing 

East Tawas 

Eaton Rapids 

Eau Claire 

Ecorse 

Elk Rapids 

Elkton 

Emmett Township 

Erie Township 

Escanaba 

Essexville 

Evart 

Fairhaven Township 

Farmington 

Farmington Hills 

Fenton 

Femdale 

Flat Rock 

Flint 

Flint Township 

Flushing 

Flushing Township — 

Forsyth Township 

Frankenmuth 

Frankfort 

Franklin 

Fraser 

Fremont 

Frost Township 

Galesburg 

Garden City 

Gaylord 

Genesee Township — 

Gerrish Township 

Gilbraltar 

Gladstone 

Gladwin 

Gobies 

Grand Beach 

Grand Blanc 

Grand Blanc Township 

Grand Haven 

Grand Ledge 



10 


9 


18 


14 


2 


2 


4 


3 


6 


5 


2 


2 


4 


4 


2 


2 


4 


4 


5 


5 


5 


5 


5 


5 


5 


5 


5 


5 


9 


7 


11 


9 


228 


198 


124 


91 


5 
1 


5 
1 


1 
,113 


1 
4,508 


6 


5 


12 


10 


3 


3 


17 


13 


2 


2 


5 


5 


58 


50 


30 


27 


5 


4 


84 


56 


4 


4 


9 


8 


38 


31 


3 


3 


2 


2 


9 


8 


3 


2 


44 


37 


12 


9 


2 


2 


30 


23 


139 


97 


18 


13 


61 


52 


22 


21 


369 


304 


30 


26 


12 


11 


7 


6 


8 


7 


5 


5 


4 


4 


11 


10 


49 


42 


7 


6 


2 


1 


56 


43 


8 


7 


15 


14 


3 


3 


14 


13 


12 


12 


3 


3 


1 


1 


3 


3 


21 


16 


32 


25 


29 


22 


14 


13 



266 



Table 72. — Number of Full-dme Law Enforcement Employees, Cities, October 31, 1990 — Continued 



City 



Total 

police 

employees 



Total 
ofTicers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
ofTicers 



MICHIGAN— Continiwd 



Grand Rapids 

Grandville 

Grayling 

Green Oak Township 

Greenville 

Grosse lie 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 

Hesperia 

Highland Park 

HiUsdale- 

Holland 

HoUy 

Homer 

Hopkins 

Houghton 

Howard City 

Howard Township 

HoweU 

Hudson 

Hudsonville 

Huntington Woods .. 

Huron Township 

Imlay City 

Ionia 

Iron Mountain 

Iron River 

Ironwood 

Ishpeming 

Ishpeming Township 

Ithaca 

Jackson 

Joncsville 

Kalamazoo 

Kalamazoo Township 

Kalkaska 

Keego Harbor 

Kentwood 

Kingsford 

Laingsburg 

Lake Angelus 

Lake Linden 

Lake Odessa 

Lake Orion 

L'Anse 

Lansing 

Lansing Township ... 

Lapeer 

Lathnip Village 

Laurium 

Lawrence 

Lawton 

Lennon 

Leoni Township 

Leslie 

Lexington 

Lincoln Park 

Lincoln Township ... 

Linden 

Litchfield 

Livonia 



353 

24 

6 

8 

23 

22 

30 

36 

46 

22 

49 

11 

11 

53 

6 

4 

6 

45 

3 

6 

18 

41 

2 

121 

20 

62 

12 

3 

4 

9 

4 

2 

15 

3 

6 

20 

II 

10 

22 

12 

4 

21 

13 

1 

5 

95 

4 

295 

36 

5 

6 

44 

17 

2 

3 

I 

3 

7 

5 

349 

16 

18 

12 

4 

4 

5 

2 

4 

3 

4 

70 

10 

3 

4 

173 



276 
19 
5 
7 
17 
17 
25 
31 
43 
18 
43 
10 
10 
53 



6 




4 




5 


1 


37 


8 


3 




6 




13 




34 




? 




96 


25 


15 




50 


12 


8 




3 




3 




8 




1 




? 




14 




3 




5 




15 




7 




9 




17 




P 




4 




16 




12 
1 




4 




63 


32 


4 




240 


55 


27 




4 




5 




38 


6 


15 


2 


•) 




3 








3 




4 


3 


5 




257 


92 


15 


1 


16 


2 


9 


3 


4 




3 


1 


5 




4 


1 


1 




4 




62 


8 


8 


2 


3 




4 





149 



24 



MICHIGAN— Continued 



Lowell 

Ludington 

Luna Pier 

Lyon Township 

Mackinac Island 

Mackinaw City 

Madison Heights 

Mancelona 

Manchester Township 

Manistee 

Manistique 

Manton 

Maple Grove Township 

Marcellus 

Marenisco Township 

Marine City 

Marion 

Marlette 

Marquette 

Marshall 

Martin 

Marysville 

Mason 

Mattawan 

Mayville 

Melvindale 

Memphis 

Menominee 

Metro Beach 

Michiana 

Middleville 

Midland 

Midland Township 

Milan 

Milford 

Millington 

Mills Township 

Monroe 

Montague 

Montrose 

Montrose Township 

Morenci 

Morrice 

Mount Clemens 

Mount Morris 

Mount Morris Township 

Mount Pleasant 

Mundy Township 

Munising 

Muskegon 

Muskegon Heights 

Muskegon Township 

Napoleon Township 

Nashville 

Negaunee 

New Baltimore 

Newberry 

New BufTalo 

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 


6 


18 


14 


4 


4 


2 


2 


5 


4 


4 


4 


78 


61 


3 


3 


15 


14 


II 


10 


2 


2 


3 


3 


10 


8 


3 


3 


42 


34 


19 


14 


2 


2 


15 


13 


10 


9 


2 


2 


26 


24 


2 


2 


20 


16 


6 


6 


2 


2 


3 


3 


44 


42 


3 


3 


11 


7 


18 


12 


3 


3 


53 


48 


6 


6 


4 


4 


4 


4 


4 


4 


34 


32 


7 


6 


27 


25 


26 


22 


10 


8 


5 


5 


69 


60 


23 


20 


12 


11 


3 


3 


2 


2 


II 


10 


9 


8 


4 


4 


5 


5 


6 


5 


2 


2 


25 


18 


8 


8 


3 


3 


7 


6 


21 


17 


22 


18 


25 


23 


5 


5 


74 


50 


78 


71 


2 


2 


2 


2 


8 


5 



267 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



MICHIGAN— Continued 



Orchard I-ake 

Osocda-Ausable Townsliip 

Otisville 

Otsego 

Owosso 

Oxford 

Parchment 

Parma 

Paw Paw 

Pennfield Township 

Pentwater 

Perry 

Petoskey 

Pigeon 

Pinckney 

Pinconning 

Pittsfield Township 

Plainwell 

Pleasant Ridge 

Plymouth 

Plymouth Township 

Portage 

Port Austin 

Port Huron 

Portland 

Port Sanilac 

PotterviUe 

Prairieville Township 

Quincy 

Reading 

Redford Township 

Reed City 

Republic Township 

Richfield Township (Genesee County) .... 
Richfield Township (Roscommon County) 

Richland 

Richland Township 

Richmond 

Richmond Township 

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. Lxjuis 

Saline 

Sand Lake 

Sandusky 

Saugatuck 

Sault Ste. Marie 

Schoolcraft 

Scottville 

Sebewaing 

Shelby 

Shelby Township 

Somerset Township 

Southfield 



MICHIGAN— Continued 



9 

15 

3 

g 

21 

17 

4 

2 

9 

10 

3 

6 

15 

I 

4 

3 

25 

8 

9 

22 

29 

63 

2 

66 

6 

1 

3 

1 

7 

2 

79 

6 

1 

6 

3 

4 

3 

10 

I 

33 

29 

20 

g 

9 

7 

10 

69 

7 

I 

95 

2 

103 

13 

135 

43 

3 

10 

88 

6 

16 

25 

9 

9 

17 

2 

4 

3 

27 

2 

3 

4 

3 

48 

1 

208 



7 
7 

54 
6 
1 

83 
2 

88 

9 

121 

40 
3 
9 

83 
5 

12 

19 
8 
6 

12 
2 
4 
2 

23 
2 
3 
4 
3 

39 

1 

161 



17 



9 

47 



Southgate 

South Haven 

South Lyon 

South Rockwood 

Sparta 

Spaulding Township 

Springfield 

Spring Lake-Ferrysburg ... 

Springport Township 

Stanton 

Sterling Heights 

Sturgis 

Sumpter Township 

Sunfield 

Swartz Creek 

Sylvan Lake 

Taylor 

Tecumseh 

Thomas Township 

Three Oaks 

Three Rivers 

Tittabawassee Township 

Traverse City 

Trenton 

Troy 

Tuscarora Township 

Twin City 

Ubiy 

Unadilla Township 

Union City 

Unionville 

Utica 

Van Buren Township 

Vassar 

Vicksburg 

Walker 

Walled Lake 

Warren 

Waterford Township 

Watervliet 

Wayland 

Wayne 

Webberville 

West Bloomfield Township 

West Branch 

Westland 

White Cloud 

Whitehall 

White Lake Township 

White Pigeon 

Williamston 

Wixom 

Wolverine Lake 

Woodhaven 

Woodstock Township 

Wyandotte 

Wyoming 

Yale 

Ypsilanti 

Zeeland 

Zilwaukee 



MINNESOTA 



Albert Lea . 
Alexandria . 

Anoka 

Apple Valley 

Austin 

Babbitt 

Baxter 

Bayport 

Belle Plaine 

Bemidji 

Benson 



56 


46 


19 


15 


9 


8 


8 


6 


10 


9 


10 

1 


9 


1 
221 


1 
166 


18 


15 


6 


5 


g 


7 


5 


5 


123 


101 


15 


14 


2 


2 


4 


4 


17 


13 


2 


2 


32 


31 


56 


49 


170 


127 


4 


4 


4 


4 
1 


1 
4 


1 
3 


2 


2 


17 


12 


9 


7 


6 


6 


5 


4 


36 


29 


17 


13 


2gO 


236 


102 


78 


2 


2 


4 


4 


52 


38 


3 


3 


65 


49 


4 


3 


110 


93 


2 


2 


6 


6 


26 


18 


3 


3 


4 


4 


17 


14 


9 


7 


26 


24 


60 


49 


101 


75 


3 


3 


59 


47 


7 


6 


2 


2 


35 


26 


22 


15 


35 


27 


50 


34 


4g 


31 


4 


4 


4 


4 


5 


5 


5 


5 


21 


|g 


5 


5 



268 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued 



City 



Total 

police 

employees 



Total 
ofTicers 



Total 
civilians 



City 



Total 

police 

einployees 



Total 
officers 



MINNESOTA— ContiiiiKd 

Big Lake 

Blaine 

Bloomington 

Blue Earth 

Brainerd 

Breckenridge 

Brooklyn Center 

Brooklyn Park 

BufTalo 

BumsviUe 

Caledonia 

Cambridge 

Cannon Falls 

Champlin 

Chanhassen 

Chaska 

Chisholm 

Circle Pines-Lexington 

Cloquet 

Cold Spring 

Columbia Heights 

Coon Rapids 

Corcoran 

Cottage Grove 

Crookston 

Crosby 

Crystal 

Dawson 

Dayton 

Deephaven 

Detroit Lakes 

Dilworth 

Duluth 

Eagan 

East Grand Forks 

Eden Prairie 

Edina 

Elk River 

Ely 

Eveleth 

Fairmont 

Faribault 

Farmington 

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 

Lakefield 

Lakeville 

LeSueur 

Lino Lakes 

Litchfield 

Little Falls 

Long Prairie 

Luveme 



MINNESOTA— Condnued 



5 

42 

121 

5 

23 

10 

53 

67 

9 

67 

3 

g 

6 

17 

6 

14 

13 

9 

17 

4 

28 

Sg 

4 

34 

15 

8 

36 

3 

2 

8 

13 

4 

145 

58 

22 

51 

52 

17 

9 

10 

17 

30 

8 

21 

10 

44 

6 

8 

3 

44 

4 

15 

5 

21 

7 

30 

32 

5 

22 

14 

31 

6 

2 

4 

3 

5 

8 

3 

33 

10 

12 

10 

13 

5 

5 



4 

34 

95 

5 

19 

6 

38 

55 

8 

54 

3 

7 

5 

16 

1 

11 

12 

8 

16 

4 

21 

50 

3 

22 

13 

5 

28 

3 

2 

7 

11 

3 

125 

46 

21 

42 

47 

13 

8 

9 

14 

23 

7 

17 

9 

33 

6 

7 

3 

30 

4 

12 

5 

18 

6 

29 

23 

5 

17 

14 

24 

6 

2 

4 

3 

4 

7 

3 

23 

5 

9 

9 

II 

5 

5 



Madison 

Mankato 

Maple Grove 

Maplewood 

Marshall 

Medina 

Melrose 

Mendota Heights 

Minneapolis 

Minnetonka 

Montevideo 

Moorhead 

Mora 

Morris 

Mound 

Mounds View 

New Brighton 

New Hope 

Newport 

New Prague 

New Ulm 

Northfield 

North Mankato 

North St. Paul 

Oakdale 

Oak Park Heights 

Olivia 

Orono 

Ortonville 

Osseo 

Owatonna 

Park Rapids 

Pipestone 

Plainview 

Plymouth 

Princeton 

Prior Lake 

Proctor 

Ramsey 

Red Wing 

Redwood Falls 

Richfield 

Robbinsdale 

Rochester 

Rockford 

Roseau 

Rosemount 

Roseville 

St. Anthony 

St Bonifacius-Minnetrista 

St. Cloud 

St. James 

St. Joseph 

St. Louis Park 

St. Paul 

St. Paul Park 

St. Peter 

Sartell 

Sauk Centre 

Sauk Rapids 

Savage 

Shakopee 

Silver Bay 

Slayton 

Sleepy Eye 

South Lake Minnetonka 

South St. Paul 

Springfield 

Spring Lake Park 

Staples 

Stillwater 

Thief River Falls 

Tracy 

Two Harl)ors 

Virginia 



3 


3 


42 


35 


39 


32 


54 


39 


21 


17 


5 


5 


4 


4 


17 


15 


899 


794 


60 


44 


13 


8 


48 


39 


7 


6 


8 


7 


14 


13 


15 


14 


21 


19 


31 


26 


7 


7 


7 


6 


22 


19 


20 


15 


9 


8 


16 


14 


21 


18 


8 


7 


4 


4 


16 


15 


6 


5 


3 


3 


24 


22 


5 


5 


5 


5 


3 


3 


53 


41 


7 


6 


14 


13 


6 


5 


11 


9 


24 


23 


7 


6 


52 


43 


26 


18 


120 


96 


4 


4 


4 


4 


12 


11 


48 


44 


13 


12 


9 


7 


71 


61 


7 


6 


4 


4 


62 


48 


674 


528 


6 


6 


16 


11 


6 


6 


8 


5 


9 


8 


14 


12 


20 


17 


4 


4 


5 


5 


5 


5 


15 


14 


31 


25 


4 


4 


10 


9 


5 


5 


19 


16 


16 


15 


4 


4 


9 


8 


27 


25 



269 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
ofTicers 



Total 

civilians 



MINNESOTA— ConHnued 



Wabasha 

Wadena 

Waite Park 

Warroad 

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 

Brandon 

Calhoun City 
Clarksdale ... 

Clinton 

Collins 

Columbus 

Como 

Corinth 

De Kalb 

Drew 

Eupora 

Flowood 

Forest 

Fulton 

Gloster 

Greenville 
Greenwood 

Grenada 

Gulfpon 

Hattiesburg 
Hazlehurst . . . 

Hernando 

Houston 

Indianola 

Inverness 

Jackson 

Kosciusko 

Laurel 

Leakesville . . . 
Long Beach .. 

Louisville 

Lucedale 

Macon 

Madison 

McComb 

Meridian 

Morton 

Moss Point 

Natchez 

Newton 

Ocean Springs 

Okolona 

Oxford 

Pascagoula . . . 
Pass Christian 

Pearl 

Pelahatchie . . 

Petal 

Philadelphia 
Picayune 



MISSISSIPPI 



MISSISSIPPI— Continued 



20 

5 

19 
27 
20 
14 
21 
24 

6 
43 
37 

7 
63 

5 
32 

3 
10 

g 
21 
13 

8 

9 
126 
51 
42 
106 
126 
13 

7 

12 
29 

2 

457 

23 

73 

2 
26 
22 
14 

6 

12 

36 

121 

9 
37 
69 
12 
36 

8 
42 
83 
18 
36 

3 

16 
23 
34 



14 
5 

19 

19 

15 

6 

17 

16 

6 

33 

26 

7 

55 

5 

28 

3 

6 

6 

16 

9 

8 

5 

91 

39 

33 

72 

83 

10 

7 

8 

24 

2 

344 

20 

53 

2 

18 

17 

9 

6 

9 

23 

93 

9 

33 

53 

8 

27 

8 

36 

56 

13 

28 

3 

11 

16 

23 



113 

3 

20 



Purvis 

Raymond . . . 
Ridgeland . . . 
Rolling Fork 

Ruleville 

Senatobia . . . 
Starkville . . . 
Stonewall . . . 
Sunflower . . . 

Tupelo 

Utica 

Verona 

Vicksburg . . . 
Water Valley 
Waveland ... 

Wiggins 

Winona 

Yazoo City . 



MISSOURI 



Arnold 

Aurora 

Ballwin 

Bellefontaine Neighbors 

Bel-Nor 

Bel-Ridge 

Belton 

Berkeley 

Blue Springs 

Bolivar 

Bonne Terre 

Boonville 

Branson 

Breckenridge Hills 

Brentwood 

Bridgeton 

Brookfield 

Buckner 

Butler 

California 

Calverton Park 

Cameron 

Canton 

Cape Girardeau 

Carrollton 

Carthage 

Centralia 

Chaffee 

Charlack 

Charleston 

Chesterfield 

Claycomo 

Clayton 

Clinton 

Columbia 

Cool Valley 

Country Club Hills ... 

Crestwood 

Creve Coeur 

Crystal City 

Desoto 

Des Peres 

Edmundson 

Eldon 

Ellisville 

Eureka 

Excelsior Springs 

Farmington 

Fayette 

Fenton 

Ferguson 

Festus 

Flat River 

Rorissant 



46 
13 
52 
23 

9 
14 
36 
51 
74 
15 

7 

19 
25 
12 
26 
66 
17 

6 
II 

4 

5 
14 

9 
80 
10 
24 
10 

9 
II 
17 
61 

8 

66 

19 

125 

II 

9 
37 
47 
15 
17 
39 

8 
14 
22 
15 
27 
25 
.5 
27 
59 
26 
14 
87 



5 
5 

31 
5 
7 

II 

27 
3 
4 

72 
3 
5 

60 
9 

13 
8 

10 

25 



36 
II 
40 
23 
8 
13 
26 
41 
50 
10 
7 

14 

21 

II 

20 

56 

10 

5 

7 

4 

5 

ID 

5 

58 

10 

22 

5 

5 

8 

15 

56 

7 

55 

15 

97 

9 

7 

29 

38 

II 

12 

33 

7 

10 
21 
14 
19 
15 
4 
20 
52 
18 
8 
71 



270 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued 



City 



Total 

police 

employees 



Total 
ofTicets 



Total 

civilians 



City 



Total 

police 

employees 



Total 
officers 



MISSOURI— Continued 



Frontenac 

Fulton 

Garden City 

Gladstone 

Glendale 

Grain Valley 

Grandview 

Hanley Hills 

Hannibal 

Harrisonville 

Hazelwood 

Hennann 

Hillsdale 

Independence 

Ironton 

Jackson 

JefTerson City 

Jennings 

Joplin 

Kansas City 

Kearney 

Kennett 

Kirksville 

Kirkwood 

Ladue 

Lake Lotawana ... 
Lake St. Louis ... 

Lamar 

Lebanon 

Lees Summit 

Lexington 

Liberty 

Louisiana 

Macon 

Maiden 

Manchester 

Maplewood 

Marceline 

Marlborough 

Marshall 

Maryland Heights 

Maryville 

Mexico 

Moberly 

Moline Acres 

Monett 

Neosho 

Nevada 

Newburg 

New Madrid 

Normandy 

North Kansas City 

Northwoods 

Oakview 



Odessa 

O'Fallon 

Olivette 

Overland 

Pacific 

Pagedale 

Parkville 

Pevely 

Pine Lawn 

Plattsburg 

Pleasant Hill 

Poplar Bluff 

Raytown 

Republic 

Richmond 

Richmond Heights 

Riverside 

Riverview 

Rock HiU 

RoUa 

St. Ann 



23 
23 

2 
62 
13 

8 
58 

6 
46 
22 
50 

6 

13 

221 

4 
15 
81 
58 
79 
1,764 

5 
23 
28 
63 
36 

3 
20 

8 
22 
85 

8 
37 
12 
11 
II 
21 
26 

6 

8 
29 
73 
21 
33 
39 

7 
20 
29 
23 

2 

6 
20 
38 
20 

1 

6 
41 
27 
64 
17 
20 

7 
16 
16 

4 
10 
45 
75 
12 
14 
31 
17 

9 
15 
34 
46 



18 
19 

2 
51 
10 

7 
47 

6 
31 
14 
38 

5 

12 
165 

4 
15 
64 
43 
61 
1,178 

5 

18 
22 
49 
30 

3 
14 

7 
17 
66 

7 
29 
12 
10 
II 
20 
21 

6 

7 
22 
59 
14 
28 
33 

7 
15 
19 
16 

2 

6 
18 
31 
18 

1 

6 
36 
21 
49 
II 
19 

6 
II 
15 

4 

6 
31 
58 
12 
10 
28 
12 

9 
12 
23 
39 



15 



17 

15 

18 

586 



MISSOURI— ConHnued 



St. Charles 

Ste. Genevieve ... 
St. George 

John 

Joseph 

Louis 

Peters 

Robert 

Savannah 

Sedalia 

Shrewsbury 

Sikeston 

Slater 

Smithville 

Springfield 

Sugar Creek 

Sullivan 

Sunset Hills 

Town and Country 

Trenton 

Union 

University City ... 

Valley Park 

Vandalia 

Vinila Park 

Warrenton 

Warrensburg 

Warson Woods ... 

Washington 

Webb City 

Webster Groves .. 

Wellston 

Wentzville 

Weston 

West Plains 

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 

Miles City-Custer County 

Missoula 

Plentywood 

Poison 

Red Lodge 

Ronan City 

St. Ignatius 

Sidney 

Thompson Falls 

Troy 

West Yellowstone 

Whitefish 

Whitehall 



99 


74 


7 


6 


4 


4 


18 


16 


119 


101 


2,272 


1,574 


54 


42 


14 


10 


5 


5 


49 


40 


17 


15 


59 


53 


8 


4 


8 


7 


249 


193 


13 


11 


18 


12 


23 


17 


29 


27 


17 


12 


14 


13 


98 


77 


It 


10 


8 


5 


11 


10 


14 


9 


24 


22 


7 


6 


24 


21 


16 


15 


50 


41 


21 


18 


24 


18 


4 


4 


19 


15 


6 


6 


15 


13 



5 

127 

2 

12 

5 

4 

2 

3 

9 

16 

95 

9 

18 

39 

35 

12 

13 

14 

16 

78 

3 

7 

5 

4 

1 

10 

2 

2 

9 

13 

3 



4 

101 

2 

7 

5 

4 

2 

3 

6 

12 

60 

8 

16 

36 

23 

8 

10 

10 

13 

61 

3 

7. 

5 

4 

I 

9 
2 
2 
5 
8 
2 



NEBRASKA 



Albion 



271 



Table 72. — Number of Fnll-time Law Enforcement Employees, Cities, October 31, 1990 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



NEBRASKA— Continiied 



NEVADA— Continued 



Alliance 

Ashland 

Auburn 

Aurora 

Beatrice 

Bellevue 

Blair 

Broken Bow 

Central City 

Ctaadron 

Columbus 

Cozad 

Crete 

David City 

Elkhom 

Fairbury 

Falls City 

Fremont 

Geneva 

Gering 

Gordon 

Gothenburg 

Grand Island .... 

Hastings 

Holdrege 

Imperial 

Kearney 

KimbaU 

La Vista 

Lexington 

Lincoln 

Madison 

McCook 

Milford 

Minden 

MitcheU 

Nebraska City .. 

Norfolk 

North Platte .... 

Ogallala 

Omaha 

O'NeiU 

Ord 

Papillion 

Pierce 

Plattsmouth 

Ralston 

Schuyler 

Scottsbluff 

Seward 

Sidney 

South Sioux City 

Stanton 

Superior 

Syracuse 

Tecumseh 

Tekamah 

Valentine 

VaUey 

Wahoo 

Wayne 

West Point 

WUber 

York 



NEVADA 



Boulder City 

Caliente 

Carlin 

Fallon 

Henderson 

Las Vegas Metropolitan Police Department 

Jurisdiction 

Lovelock 



26 
5 

6 

7 

25 

49 

13 

8 

6 

17 

35 

10 

14 

5 

4 

6 

13 

38 

3 

17 

6 

9 

58 

45 

14 

4 

33 

7 

18 

16 

321 

4 

20 

5 

6 

5 

13 

49 

51 

12 

755 

7 

8 

13 

2 

7 

7 

6 

37 

12 

16 

21 

2 

6 

2 

4 

4 

4 

4 

6 

II 

6 

4 

20 



28 
3 
7 

25 
135 

1,831 
7 



19 

4 

6 

6 

18 

37 

11 

7 

5 

11 

25 

6 

9 

5 

4 

5 

9 

29 

3 

14 

5 

5 

52 

37 

9 

4 

28 

6 

15 

12 

249 

4 

15 

5 

5 

5 

12 

36 

32 

10 

606 

5 

4 

12 

2 

6 

6 

6 

30 
8 
12 
16 
2 
4 
2 
3 
4 
4 
4 
6 
7 
6 
4 
15 



22 
3 
7 

1 

99 

1,209 
5 



1 
13 
19 

2 
149 
2 
4 
1 



Reno 

Sparks 

Wells 

Winnemucca 
Yerington 



NEW HAMPSHIRE 



622 
I 



Allenstown 

Alton 

Amherst 

Ashland 

Atkinson 

Auburn 

Barrington 

Bedford 

Belmont 

Beriin 

Boscawen 

Bow 

Bristol 

Charlestown 
Chesterfield . . . 

Claremont 

Colebrook 

Concord 

Conway 

Derry 

Dover 

Durham 

Enfield 

Epping 

Exeter 

Farmington . . , 
FitzwiUiam 

Franklin 

Goffstown 

Gorham 

Grantham 

Greenville — 
Hampstead 

Hampton 

Hanover 

Hillsboro 

Hinsdale 

Holdemess 

Hollis 

Hooksett 

Hudson 

Jaffrey 

Keene 

Kingston 

Laconia 

Lancaster 

Lebanon 

Lee 

Lincoln 

Litchfield 

Littleton 

Londonderry . 

Loudon 

Manchester . . 

Meredith 

Merrimack 

Milford 

Milton 

Moultonboro 

Nashua 

New Castle . . 
New Hampton 
Newington . . . 
New London 
Newmarket 

Newport 

Newton 



460 

114 

4 

18 



6 

8 

13 

6 

2 

5 

7 

32 

12 

25 

5 

11 

7 

8 

4 

31 

3 

90 

32 

54 

61 

18 

6 

6 

29 

10 

3 

20 

35 

9 

2 

5 

3 

40 

26 

8 

5 

4 

13 

32 

38 

15 

57 

6 

43 

7 

30 

5 

13 
7 

10 

44 

4 

211 

14 

41 

22 

4 

7 

208 

3 

5 

10 
10 
11 
17 
5 



309 

72 
4 
14 

7 



6 
7 

12 

5 

2 

4 

6 

24 

10 

23 

4 

7 

6 

4 

4 

25 

3 

71 

22 

44 

47 

15 

5 

5 

21 

9 

2 

18 

24 

8 

2 

5 

3 

32 

16 

8 

4 

4 

8 

20 

27 

12 

43 

5 

32 

6 

27 

4 

8 

6 

9 

33 

4 

166 

11 

31 

19 

3 

6 

156 

3 

5 

9 

6 

10 

13 

4 



272 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued 



City 



Total 

police 

employees 



Total 
ofTicers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



NEW HAMPSHIRE— Continued 



NEW JERSEY— Continued 



Northfield 

North Hampton 
Northumberland 

Northwood 

Pembroke 

Peterborough . . . 

Pittsfield 

Plainfield 

Plaistow 

Plymouth 

Portsmouth 

Raymond 

Rindge 

Rochester 

Rye 

Salem 

Sanbomton 

Seabrook 

Somersworth 

Swanzey 

Tilton 

WakeHeld 

WaterviUe VaUey 

Webster 

Wilton 

Winchester 

Windham 

Wolfeboro 

Woodstock 



NEW JERSEY 



Aberdeen Township .. 

Absecon 

Allendale 

Allenhurst 

Allentown 

Alpha 

Alpine 

Andover Township . . . 

Asbury Park 

Atlantic City 

Atlantic Highlands ... 

Audubon 

Audubon Park 

Avalon 

Avon-by-the-Sea 

Bamegat Township ... 

Barnngton 

Bay Head 

Bayonnc 

Beach Haven 

Beachwood 

Bedminster Township 

BeUeviUe 

Bellmawr 

Belmar 

Belvidere 

Bergenfield 

Berkeley Heights 

Berkeley Township ... 

Berlin 

Berlin Township 

Bernards Township 

Bemardsville 

Beverly 

Blairstown Township . 

Bloomfleld 

Bloomingdale 

Bogota 

Boonton 

Boonton Township ... 

Bordentown 

Bordentown Township 
Bound Brook 



37 
31 
17 
12 

6 

3 
12 
12 
57 
636 
20 
18 

4 
32 

9 
27 
16 

9 
186 
16 
16 
14 
89 
24 
24 

6 
54 
31 
69 
14 
15 
35 
16 

7 
10 
130 
15 
21 
22 

9 
13 
20 
23- 



3 


1 


10 


1 


10 


2 


4 




■> 




12 


5 


10 


7 


63 


14 


8 


1 


<; 




42 


9 


8 


1 


53 


16 


5 




18 


4 


19 


7 


4 


1 


8 


1 


8 


1 


6 

1 


1 


5 




4 


1 


14 


5 


9 


3 


4 




30 


7 


28 


3 


14 


3 


8 


4 


6 




1 




17 




7 


5 


53 


4 


425 


211 


15 


5 


17 


1 


4 




24 


8 


9 




22 


5 


15 


1 


8 


1 


177 


9 


14 


2 


14 


2 


13 


1 


86 


3 


18 


6 


19 


5 


6 




48 


6 


25 


6 


57 


12 


12 


2 


14 


1 


26 


9 


15 


1 


6 


1 


5 


5 


109 


21 


14 


1 


71 




19 


3 


9 





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 

Carlstadi 

Cameys Point Township . 

Carteret 

Cedar Grove Township 

Chatham 

Chatham Township 

Cherry Hill 

Chesilhurst 

Chester 

Chesterfield Township ... 

Chester Township 

Cinnaminson Township 

Clark 

Clayton 

Clementon 

Cliffside Park 

Cliflon 

Clinton 

Clinton Township 

Closler 

Collingswood 

Colts Neck Township 

Cranbury Township 

Cranford Township 

Cresskill 

Deal 

Delanco Township 

Delaware Township 

Delran Township 

Demarest 

Denville Township 

Deptford Township 

Dover 

Dover Township 

Dumont 

Dunellen 

Eastampton Township ... 
East Brunswick Township 
East Greenwich Township 
East Hanover Township 

East Newark 

East Orange 

East Rutherford 

East Windsor Township 

Eatontown 

Edgewater 

Edgewaler Park Township 

Edison Township 

Egg Harbor City 

Egg Harbor Township ... 

Elizabeth 

Elk Township 

Elmer 

Elmwood Park 

Emerson 

Englewood 

Englewood Cliffs 



19 


16 


18 


17 


III 


90 


64 


57 


72 


59 


19 


15 


41 


35 


5 


5 


14 


9 


36 


29 


42 


34 


15 


14 


14 


12 


22 


21 


2 


2 


355 


290 


22 


16 


5 


5 


32 


30 


23 


17 


60 


52 


31 


30 


25 


19 


32 


27 


150 


122 


6 


6 


10 


9 


20 


19 


31 


26 


50 


44 


18 


12 


12 


11 


45 


42 


161 


139 


7 


7 


23 


21 


22 


20 


28 


23 


25 


17 


12 


II 


61 


49 


25 


23 


17 


13 


8 


7 


6 


6 


27 


22 


12 


12 


37 


29 


58 


48 


31 


29 


174 


137 


33 


31 


17 


14 


14 


13 


115 


87 


12 


II 


32 


27 


8 


8 


256 


245 


31 


28 


54 


42 


43 


33 


26 


26 


14 


13 


226 


178 


19 


II 


80 


63 


362 


292 


8 


7 


3 


3 


37 


34 


19 


19 


90 


76 


27 


26 



273 



Table 72.— Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued 



aty 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 
police 

employees 



Total 
officers 



NEW JERSEY— CondniKd 



NEW JERSEY— Continued 



Englishtown 

Essex Fells 

Evesham Township 

Ewing Township 

Fairfield 

Fair Haven 

Fair Lawn 

Fairview 

Fanwood 

Far HiUs 

Flemington 

Florence Township 

Florham Park 

Fort Lee 

Franklin 

Franklin Lakes 

Franklin Township (Gloucester County) 
Franklin Township (Hunterdon County) . 
Franklin Township (Somerset County) ... 

Freehold 

Freehold Township 

Frenchtown 

Galloway Township 

Garfield 

Garwood 

Gibbsboro 

Glassboro 

Glen Ridge 

Glen Rock 

Gloucester City 

Gloucester Township 

Green Brook 

Greenwich Township (Gloucester County) 
Greenwich Township (Warren County) 

Guttenberg 

Hackensack 

Hackettstown 

Haddonfield 

Haddon Heights 

Haddon Township 

Hainesport Township 

Haledon 

Hamburg 

Hamilton Township (Mercer County) — 
Hamilton Township (Atlantic County) ... 

Hammonton 

Hanover Township 

Harding Township 

Hardyston Township 

Harrington Park 

Harrison 

Harrison Township 

Harvey Cedars 

Hasbrouck Heights 

Haworth 

Hawthorne 

Hazlet Township 

Helmetta 

High Bridge 

Highland Park 

Highlands 

Hightstown 

HiUsborougb Township 

HiUsdale 

Hillside Township 

Hi NeUa 

Hoboken 

Ho-Ho-Kus 

Holland Township 

Holmdel Township 

Hopatcong 

Hopewell Township 

Howell Township 

Independence Township 

Interlaken 



2 
13 
46 
79 
38 
14 
62 
26 
22 

4 
II 
25 
29 
110 
13 
26 
28 

6 
99 
34 
53 

4 
43 
55 
17 

2 
47 
33 
27 
29 
83 
18 
21 

2 
21 
120 
21 
29 
21 
30 
10 
21 

6 
195 
49 
36 
34 
16 
16 
II 
55 

8 

9 
33 
15 
30 
52 

3 

5 
34 
20 
17 
47 
22 
82 

1 

136 

14 

6 
36 
30 
30 
83 

4 

5 



2 
II 
41 
72 
36 
13 
54 
26 
21 

4 
10 
20 
27 
103 
12 
21 
22 

6 
83 
25 
42 

4 
39 
46 
17 

2 
39 
27 
21 
24 
65 
14 
16 

2 
20 
109 
16 
22 
16 
25 

9 
16 

6 
170 
39 
27 
28 
15 
U 
11 
52 

8 

8 
31 
13 
29 
44 

3 

5 
27 
13 
12 
39 
21 
72 

1 

131 

14 

5 
28 
23 
25 
68 

4 

5 



Irvington 

Island Heights 

Jackson Township 

Jamesburg 

Jefferson Township 

Jersey City 

Keansburg 

Kearny 

Kenilworth 

Keyport 

Kinnelon 

Lacey Township 

Lakehurst 

Lakewood 

Lambenville 

Laurel Springs 

Lavallette 

Lawnside 

Lawrence Township 

Lebanon Township 

Leonia 

Lincoln Park 

Linden 

Lindenwold 

Linwood 

Little Egg Harbor Township 

Little Falls Township 

Little Ferry 

Little Silver 

Livingston 

Lodi 

Logan Township 

Long Beach Township 

Long Branch 

Longport 

Lopatcong Township 

Lower Alloways Creek Township 

Lower Township 

Lumberton Township 

Lyndhurst Township 

Madison 

Magnolia 

Mahwah Township 

Manalapan Township 

Manasquan 

Manchester Township 

Mansfield Township (Warren County) 
Mansfield Township (Burlington County) 

Mantoioking 

Mantua Township 

ManviUe 

Maple Shade Township 

Maplewood Township 

Margate City 

Marlboro 

Matawan 

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) 



185 

6 

66 

10 

39 

1,005 

29 

141 

26 

24 

16 

44 

10 

114 

15 

6 
14 

7 
67 

9 
24 
24 
139 
32 
22 
34 
26 
26 
19 
60 
50 
11 
43 
85 
14 
14 
18 
45 
20 
53 
39 

8 
55 
55 
21 
78 
II 

3 

8 
26 
24 
37 
66 
39 
62 
26 
25 

9 
41 
12 
17 
17 
34 
31 
52 
127 
16 

1 
63 
16 
69 

9 
II 
52 
39 



160 

6 
53 
10 
33 
916 
23 
134 
25 
17 
15 
36 

8 
94 
11 

5 
11 

6 
61 

8 
21 
23 
124 
29 
18 
25 
20 
25 
14 
52 
48 
II 
37 
77 
II 

9 
13 
39 
18 
47 
35 

8 
49 
47 
16 
67 
11 

3 

7 

17 
22 
30 
54 
30 
50 
21 
24 

8 
33 
II 
15 
13 
30 
30 
39 
104 
12 

I 
58 
14 
55 

8 
10 
42 
32 



274 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued 



City 



Total 

police 

employees 



Total 
ofTicers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



NEW JERSEY— CondniKd 



Montclair 

Montgomery Township 

Montvale 

Monlville Township 

Moonachie 

Moorestown Township 

Morris Plains 

Morristown 

Morris Township 

Mountain Lakes 

Mountainside 

Mount Arlington , 

Mount Ephraim 

Mount Holly 

Mount Laurel Township 

Mount Olive Township 

Mullica Township 

National Park 

Neptune 

Neptune Township 

Netcong 

Newark 

New Brunswick 

Newfield 

New Hanover Township 

New Milford 

New Providence 

Newton 

North Arlington 

North Bergen Township 

North Brunswick Township 

North Caldwell 

Northfield 

North Haledon 

North Hanover Township 

North Plainfield 

Northvale 

North Wildwood 

Norwood 

Nutley 

Oakland 

Oaklyn 

Ocean City 

Ocean Gate 

Oceanport 

Ocean Township (Monmouth County) 
Ocean Township (Ocean County) .... 

Ogdensburg 

Old Bridge 

Old Tappan 

OradeU 

Orange 

Oxford Township 

Palisades Park 

Palmyra 

Paramus 

Park Ridge 

Parsippany-Troy Hills Township 

Passaic 

Passaic Township 

Paterw>n 

Paulsboro 

Peapack and Gladstone 

Pemberton 

Pemberton Township 

Pennington 

Pennsauken 

Penns Grove 

Pennsville Township 

Pequannock Township 

Perth Amboy 

Phillipsburg 

Pine Beach 

Pine HiU 

Pine Valley 



NEW JERSEY— Continiied 



114 
24 
22 
37 

19 
39 
24 
62 
54 
15 
26 
10 
12 
26 
59 
51 
14 

7 

19 
73 

8 

1,225 

150 

6 

2 
39 
29 
23 
46 
129 
87 
20 
25 
20 

4 
44 
13 
38 
14 
70 
35 

9 
79 

6 
19 
71 
16 

6 

121 

13 

23 

105 

6 

33 

16 

119 

22 

131 

142 

25 

386 

19 

9 

3 
55 

3 
131 
21 
32 
30 
127 
38 

7 
16 

8 



98 

18 
21 
33 

16 
30 

18 
56 
45 
12 
21 

9 
11 
22 
46 
42 
13 

6 
14 
65 

7 

1,070 

122 

6 

2 
35 
24 
16 
43 
111 
73 
16 
19 
16 

3 
38 
12 
32 
14 
62 
30 

8 
64 

6 
14 
60 
12 

6 
90 
12 
22 
93 

5 

30 

15 

97 

19 

108 

133 

19 

347 

13 

8 

3 
44 

3 
96 
15 
29 
25 
113 
32 

6 
14 

7 



16 
6 
1 
4 
3 
9 
6 
6 
9 
3 
5 
1 
I 
4 

13 
9 
I 
I 
5 
8 
1 
155 

28 



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 

Ridgefield 

Ridgefield Park 

Ridgewood 

Ringwood 

Riverdale 

River Edge 

Riverside 

Riverton 

River Vale 

Rochelle Park Township .. 

Rockaway 

Rockaway Township 

Roseland 

Roselle 

Roselle Park 

Roxbury Township 

Rumson 

Runnemede 

Rutherford 

Saddle Brook Township 

Saddle River 

Salem 

Sayreville 

Scotch Plains Township 

Sea Bright 

Sea Gin 

Sea Isle City 

Seaside Heights 

Seaside Park 

Secaucus 

Ship Bottom 

Shrewsbury 

Somerdale 

Somers Point 

SomerviUe 

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 



96 


83 


17 


12 


177 


136 


32 


24 


48 


41 


4 


4 


7 


6 


34 


26 


27 


20 


27 


21 


40 


32 


33 


29 


II 


II 


78 


74 


36 


31 


45 


37 


21 


19 


25 


23 


18 


16 


48 


43 


32 


30 


31 


28 


56 


48 


29 


23 


15 


10 


27 


23 


14 


13 


6 


6 


20 


20 


22 


22 


13 


12 


66 


50 


23 


23 


51 


48 


31 


31 


39 


33 


19 


17 


18 


16 


46 


42 


31 


30 


16 


14 


24 


18 


101 


84 


48 


43 


14 


10 


12 


9 


33 


23 


33 


23 


18 


15 


76 


67 


12 


II 


19 


15 


11 


10 


31 


25 


39 


33 


32 


30 


9 


9 


12 


12 


93 


68 


17 


17 


4 


3 


60 


55 


62 


55 


35 


29 


7 


7 


36 


30 


23 


18 


47 


43 


2 


2 


16 


13 


15 


13 


52 


39 


8 


7 


2 


2 


28 


21 



275 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued 



City 



NEW JERSEY— Continued 



Stratford 

Summit 

Surf City 

Sussex 

Swedesboro 

Teaneck Township 

Tenafly 

Teterboro 

Tewksbury Township 

Tinton Falls 

Totowa 

Trenton 

Tuckerton 

Union Beach 

Union City 

Union Township 

Upper Saddle River 

Ventnor City 

Vernon Township 

Verona 

Vineland 

Voorhees Township 

Waldwick 

Wallington 

Wall Township 

Wanaque 

Warren Township 

Washington 

Washington Township (Bergen County) ... 
Washington Township (Gloucester County) 
Washington Township (Mercer County) .. 
Washington Township (Morris County) ... 
Washington Township (Warren County) .. 

Watchung 

Waterford Township 

Wayne Township 

Weehawken Township 

Wenonah 

Westampton Township 

West Amwell Township 

West Caldwell 

West Cape May 

West Deptford Township 

Westfield 

West Long Branch 

West Milford Township 

West New York 

West Orange 

West Paterson 

Westville 

West Wildwood 

West Windsor Township 

Westwood 

Wharton 

Wildwood 

Wildwood Crest 

Willingboro Township 

Winfield Township 

Winslow Township 

Woodbridge Township 

Woodbury 

Woodbury Heights 

Woodcliff Lake 

Woodlynne 

Wood Ridge 

Woodstown 

Woolwich 

WyckofT 



Total 

police 

employees 



NEW MEXICO 



Alamogordo 
Albuquerque 

Artesia 

Aztec 



11 

56 

14 

4 

4 

103 

35 



40 
25 
431 
10 
18 
183 
158 
21 
45 
32 
34 
123 
50 
23 
17 
69 
23 
29 
18 
21 
75 
21 
35 
11 
29 
19 
122 
47 

6 
22 

3 
31 

5 
34 
69 
22 
50 
120 
104 
21 
12 

3 
44 
26 
II 
52 
28 
81 

8 

76 

217 

31 

7 
19 

6 
21 

8 

6 
25 



77 

1,183 

37 

24 



Total 
officers 



Total 
civilians 



10 
44 
10 
4 
4 
91 
31 

8 

8 

32 

23 

367 

g 
14 
161 
118 
17 
36 
26 
31 
109 
39 
19 
17 
55 
18 
22 
12 
21 
61 
16 
27 
10 
22 
17 
100 
45 

5 
19 

3 
29 

5 
28 
59 
17 
43 
108 
95 
20 

9 

3 
36 
24 
10 
45 
23 
66 

8 
61 
176 
25 

6 
18 

5 
19 

7 

5 
22 



60 

793 

21 

14 



City 



NEW MEXICO— Continued 



17 

390 

16 

10 



Bayard 

Belen 

Bloomfield 

Carlsbad 

Clayton 

Clovis 

Corrales 

Cuba 

Deming 

Eunice 

Farmington 

Gallup 

Grants 

Hobbs 

Hurley 

Jal 

Jemez Springs 

Las Cruces 

Los Alamos 

Los Lunas 

Lovington 

Mesilla 

Milan 

Mountainair 

Portales 

Questa 

Raton 

Rio Rancho 

Roswell 

Ruidoso 

Ruidoso Downs 

San Ildefonso Pueblo 

Silver City 

Taos 

Taos Pueblo Tribal ... 

Tatum 

Truth or Consequences 

Tucumcari 

Tularosa 

Wagon Mound 



NEW YORK 



Addison Town and Village 

Akron Village 

Albany 

Albion Village 

Alexandria Bay Village 

Alfred Village 

Altamont Village 

Amherst Town 

Amity Town and Belmont Village 

Amityville Village 

Amsterdam 

Ardsley 

Asharoken Village 

Athens Village 

Attica Village 

Auburn 

Avoca Village 

Avon Village 

Baldwinsville Village 

Ballston Spa Village 

Batavia 

Bath Village 

Beacon 

Bedford Town 

Bethlehem Town 

Binghamton 

Blooming Grove Town 

Bolivar Village 

Boonville Village 

Brant Town 

BriarclifT Manor Village 

Brighton Town 



Total 

police 

employees 



7 
22 
20 
60 
16 
76 
15 

6 
27 

8 

114 

106 

32 

104 

6 
10 

2 
129 
47 
23 
24 

6 
11 

4 
27 

3 
22 
87 
98 
27 
10 

3 
31 
25 
10 

7 
1 

26 
13 



1 

384 

12 

3 

6 

1 

177 

3 

26 

42 

16 

3 

5 

5 

69 

4 
16 

15 

36 

14 

36 

42 

45 

149 

12 

■ 1 

3 

1 

18 

49 



Total 
officers 



6 

17 

14 

47 

6 

59 

10 

2 

22 

4 

75 

50 

24 

69 

5 

6 

2 

106 

33 

17 

18 

6 

7 

3 

20 

2 

16 

60 

79 

16 

10 

2 

23 

18 

6 

3 

11 

20 

12 

1 



3 
1 

319 

11 

3 

6 

1 

147 

3 

25 

39 

16 

3 

4 

4 

61 

1 

4 

13 

4 

32 

10 

34 

37 

34 

136 

II 

1 

3 

I 

18 

40 



276 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued 



City 



NEW VORK— Condnued 



Bronxville Village 

Buchanan Village 

Buffalo 

Caledonia Village 

Cambridge Village 

Camden Village 

Camillus Town and Village .. 

Canajobarie Village 

Canandaigua 

Canastota Village 

Caoisteo Village 

Canton Village 

Cannel Town 

Carroll Town 

Carthage Village 

Catskill Village 

Cayuga Heights Village 

Cazenovia Village 

Central Square Village 

Centre Island Village 

Chatham Village 

Cheektowaga Town 

Chittenango Village 

Clarkstown Town 

Clayton Village 

Clay Town 

aifton Springs Village 

Clyde Village 

Cobleskill Village 

Coeymans Town 

Cohocton Town 

Cohoes 

Colchester Town 

Cold Spring Village 

Colonic Town 

Cooperstown Village 

Corinth Village 

Coming 

Comwall-on-the-Hudson Village 

Cornwall Town 

Cortland 

Cortlandt Town 

Cove Neck Village 

Croton-on-Hudson Village 

Cuba Town 

Dansville Village 

Delhi Village 

Depew Village 

Deposit Village 

Dewitl Town 

Dobbs Ferry Village 

Dryden Village 

Dunkirk 

East Aurora- Aurora Town 

Eastchester Town 

East Fishkill Town 

East Greenbush Town 

East Hampton Town 

East Hampton Village 

East Rochester Village 

East Syracuse Village 

Eden Town 

EUenville Village 

EUicott Town 

EUicottville 

Elmira 

Elmira Town 

Elmira Heights Village 

Elmsford Village 

Endicott Village 

Erwin Town 

Evans Town 

Fairpon Village 

Fallsburg Town 

Floral Park Village 



Total 

police 

employees 



26 
5 
1,171 
3 
3 
3 

19 

4 

32 

6 

2 

13 

42 

I 

7 

15 

7 

5 

6 

4 

3 

158 

7 

157 

3 

25 

I 

2 

g 

6 

1 

38 

2 

3 

151 

6 

4 

29 

4 

18 

42 

16 

3 

19 

5 

II 

4 

39 

3 

36 

22 

3 

31 

19 

62 

26 

22 

63 

19 

10 

12 

5 

13 

12 

1 

91 

4 

10 

16 

42 

1 

26 

11 

22 

45 



Total 
officers 



23 

5 

1,029 

3 

3 

3 

18 

4 

26 

5 

2 

II 

38 

1 

6 

15 

6 

5 

6 

4 

2 

128 

6 

138 

3 

20 

1 

2 

7 

3 

I 

35 

2 

3 

111 

6 

4 

29 

4 

13 

39 

9 

3 

18 

3 

8 

4 

31 

3 

33 

22 

2 

31 

15 

52 

18 

16 

48 

18 

9 

8 

4 

II 

II 

1 

85 

4 

10 

16 

38 

I 

20 

10 

18 

37 



Total 
civilians 



142 



40 



City 



NEW YORK— ContiDued 



Florida Village 

Fort Edward Village 

Fort Plain Village 

Franklinville 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 

Gouvemeur 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 

Hamilton Village 

Hammondsport Village 

Harriman Village 

Harrison Town 

Hastings-on-Hudson Village 

Haverstraw Village 

Haverslraw Town 

Hempstead Village 

Highland Falls Village 

Highlands Town 

Homer Village 

Hoosick Falls Village 

Homell 

Horseheads Village 

Hudson 

Hudson Falls Village 

Huntington Bay Village 

Hyde Park Town 

Ilion Village 

Irondequoit TowTi 

Irvington Village 

Ithaca 

Jamestown 

Johnson City Village 

Johnstown 

Kenmore Village 

Kensington Village 

Kent Town 

Kings Point Village 

Kingston 

Kirkland Town 

Lackawanna 

Lake Placid Village 

Lake Success Village 

Lakewood-Busti 

Lancaster Town 

Lancaster Village 

Larchmont Village 

Laurel Hollow Village 

Lc Roy Village 

Lewiston Village 

Liberty Village 



Total 

police 

employees 



ToUl 
officers 



12 


10 


5 


5 


3 


3 


2 


2 


17 


16 


102 


90 


38 


35 


62 


49 


39 


32 


15 


14 


7 


7 


35 


33 


55 


51 


35 


29 


31 


20 


37 


35 


13 


12 


13 


9 


5 


5 


6 


6 


15 


14 


105 


93 


110 


94 


2 


2 


10 


9 


2 


2 


9 


9 


2 


2 


14 


11 


4 


3 


37 


24 


66 


65 


22 


16 


6 


5 


2 


1 


4 


4 


70 


65 


21 


21 


19 


19 


29 


28 


130 


100 


II 


8 


5 


4 


4 


4 


21 


20 


14 


10 


23 


22 


15 


11 


5 


5 


II 


9 


18 


16 


67 


54 


22 


22 


80 


71 


90 


74 


42 


37 


24 


24 


29 


28 


6 


6 


23 


19 


24 


24 


78 


72 


3 


3 


48 


43 


16 


14 


26 


23 


9 


8 


28 


24 


22 


16 


31 


28 


8 


8 


8 


8 


2 


2 


17 


14 



Total 
civilians 



277 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued 



City 



Total 

police 

employees 



Total 
ofTicers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



NEW YORK— Continued 



NEW YORK— Continued 



Little Falls 

Liverpool Village 

Lloyd Town 

Lloyd Harbor Village 

Lockport 

Long Beach 

LowviUe Village 

Lynbrook Village 

Lyons Village 

Macedon Town and Village 

Malone Village 

Malveme Village 

Mamaroneck Town 

Mamaroneck Village 

Manlius Town 

Marcellus Village 

Marlborough Town 

Massena Village 

Mechanicville 

Medina Village 

Menands Village 

Middleport Village 

Middletown 

MiU Neck ViUage 

Mohawk Village 

Monroe ViUage 

Montgomery Town 

Monticello Village 

Moravia Village 

Moriab Town 

Mount Kisco Village 

Mount Pleasant Town 

Mount Vernon 

Newark Village 

Newburgh 

Newburgh Town 

New Castle Town 

New Hartford Town and Village 
New Paltz Town and Village ... 

New Rochelle 

New Windsor Town 

New York 

New York Mills ViUage 

Niagara Falls 

Niagara Town 

Niskayuna Town 

Nissequogue Village 

North Castle Town 

North Greenbush Town 

Northport ViUage 

North Syracuse Village 

North Tarrytown Village 

North Tonawanda 

Norwich 

Norwood Village 

Ogden 

Ogdensburg 

Old Brookville Village 

Old Westbury Village 

Olean 

Oneida 

Oneonta 

Orangetown Town 

Orchard Park Town 

Oriskany Village 

Ossining Town 

Ossining Village 

Oswego 

Owego Village 

Oxford Village 

Oyster Bay Cove Village 

Painted Post ViUage 

Palmyra Village 

Pawling Village 

PeekskiU 



15 
12 

8 
13 
56 
91 

6 
54 
11 

2 
18 
23 
40 
52 
38 

1 
10 
23 
13 
14 
16 

2 
65 

3 

5 
18 

4 
27 

1 

1 

33 

54 

233 

20 

79 

55 

39 

14 

26 

231 

46 

36,407 

2 
174 

4 
31 

4 
29 

7 
20 
13 
27 
57 
19 

I 
II 
30 
45 
27 
38 
24 
31 
91 
31 

2 
13 
56 
55 
12 

1 

7 

4 

9 

4 
64 



12 


1 


54 


2 


78 


13 


6 




47 


7 


9 


2 


2 




18 




23 




39 


1 


46 


6 


34 
1 


4 


6 


4 


23 




12 


1 


11 


3 


10 


6 


2 




58 


7 


3 




5 




14 


4 


3 


1 


24 
1 


3 


1 




30 


3 


43 


II 


182 


51 


19 


1 


68 


11 


42 


13 


37 


2 


13 


I 


19 


7 


191 


40 


34 


12 


26,844 


9,563 


■> 




154 


20 


4 




25 


6 


4 




26 


3 


6 


1 


16 


4 


10 


3 


27 




53 


4 


17 
1 


2 


10 


1 


25 


5 


36 


9 


23 


4 


36 


2 


21 


3 


28 


3 


86 


5 


30 


1 


2 




13 




48 


8 


51 


4 


8 
1 


4 


7 




4 




5 


4 


4 





13 



Pelham Manor ViUage ... 

Pelham Village 

Penn Yan ViUage 

Perry Village 

Phoenix ViUage 

Piermont Village 

Pittsburgh 

Pleasantville Village 

Port Byron Village 

Port Chester Village 

Port Dickinson Village ... 

Port Henry Village 

Port Jervis 

Portville Village 

Pott Washington Village . 

Potsdam Village 

Poughkeepsie 

Poughkeepsie Town 

Pound Ridge Tovra 

Pulaski Village 

Putnam Valley Town 

Quogue Village 

Ramapo Town 

Red Hook Village 

Rensselaer 

Riverhead Town 

Rochester 

Rockville Centre ViUage 

Rome 

Rosendale Town 

Rotterdam Town 

Rouses Point ViUage 

Rye 

Rye Brook Village 

Sag Harbor ViUage 

St. Johnsville ViUage .... 

Salamanca 

Sands Point Village 

Saranac Lake ViUage 

Saratoga Springs 

Saugerties Village 

Scarsdale Village 

Schodack Town 

Schoharie Village 

Scotia ViUage 

Seneca Falls ViUage 

Shandaken Town 

Shelter Island Town 

Sherburne Village 

Sherrill 

Sidney ViUage 

Silver Creek Village 

Skaneateles Village 

Sodus Village 

Solvay ViUage 

Southampton Town 

Southampton Village — 
South Glens Falls ViUage 
South Nyack ViUage .... 

Soulhold Town 

Southport Town 

Spring Valley ViUage ... 

Stony Point Town 

Suffem ViUage 

Syracuse 

Tarrytown Village 

Ticonderoga Town 

Tonawanda Village 

Tonawanda Town 

Troy 

Tnimansburg Village — 
Tupper Lake Village — 

Tuxedo Town 

Tuxedo Park Village 

Ulster Town 



29 


28 


27 


24 


14 


12 


5 


5 


6 


6 


52 


50 


21 


21 


6 


5 


63 


59 


4 


3 


24 


24 


2 


1 


64 


56 


18 


15 


94 


83 


86 


76 


1 


1 


2 


2 


18 


12 


12 


12 


114 


103 


2 


2 


32 


26 


77 


65 


765 


646 


62 


54 


75 


71 


3 


3 


54 


41 


43 


37 


21 


21 


15 


14 


3 


3 


12 


12 


20 


20 


15 


14 


65 


60 


11 


10 


48 


44 


8 


7 


15 


14 


17 


12 


9 


8 


4 


4 


8 


8 


6 


5 


6 


6 


17 


13 


120 


90 


38 


26 


6 


6 


6 


6 


55 


44 


5 


1 


59 


54 


29 


28 


32 


26 


574 


442 


38 


33 


8 


8 


38 


32 


159 


106 


147 


128 


13 


12 


13 


10 


10 


6 


24 


20 



278 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



NEW YORK— Continued 



NORTH CAROUNA— Continued 



Utica 

Vernon Village 

Vestal Town 

Walden Village 

Walllcill Town 

Walton Village 

Wappingers Falls Village ... 

Warwick Town 

Warwick Village 

Washingtonville Village 

Waterford Town and Village 

Waterloo Village 

Watertown 

Watervliet 

Watkins Glen Village 

Waverly Village 

Webb Town 

Webster Town and Village 

Wellsville Village 

Westhampton Beach Village 

West Seneca Town 

Wheatland Town 

Whitehall Village 

White Plains 

Whitesboro Village 

Whiteslown Town 

Windsor 

Wolcott Village 

Woodbury Town 

Woodridge Village 

Woodstock Town 

Yonkers 

Yorktown Town 

Yorkville Village 



NORTH CAKOUNA 



Aberdeen 

Ahoskie 

Albemarle 

Alexander Mills 

Andrews 

Angler 

Apex 

Archdale 

Arlington 

Asheboro 

AsheviUe 

Atlantic Beach . 

Aurora 

Ayden 

Bailey 

Bakersville 

Banner Elk 

Battleboro 

Beaufort 

Beech Mountain 

Belhaven 

Belmont 

Benson 

Bessemer City 

Bethel 

BeulaviUe 

Biltmore Forest 
Biscoe 
Black Creek 
Black Mountain 
Bladenboro 
Blowing Rock 
Boiling Springs 
Boiling Spring Lake 
Boone 
Boonville 
Brevard 
Broadway 



172 

1 

40 

12 

13 

6 

7 

14 

14 

g 

9 

8 

82 

25 

8 

15 

6 

42 

13 

18 

71 

4 

3 

244 

6 

5 

1 

1 

14 

1 

10 

627 

59 

2 



21 

19 

42 

1 

5 

11 

18 

16 

1 

47 

179 

32 

I 

16 

4 

1 

5 

3 

16 
13 
11 
28 
17 
14 
5 
3 

15 
6 
2 
17 
4 
9 
4 
4 
34 
2 
20 
3 



157 

1 

32 

9 

9 

5 

4 

12 

12 

7 

6 

7 

74 

25 

5 

9 

5 

30 

10 

16 

66 

4 

3 

190 

6 

5 

1 

1 

11 

1 

10 

527 

52 

2 



16 

14 

37 

I 

5 

7 

13 

12 

1 

43 

143 

27 

1 

12 

4 

I 

5 

3 

15 
8 
10 
21 
13 
10 
4 
3 
10 
6 
2 
13 
4 
6 
4 
4 
31 
2 
18 
3 



54 



100 

7 



Brookford 

Bryson City 

Bunn 

Burgaw 

Burlington 

Bumsvilte 

Butner 

Calypso 

Candor 

Canton 

Cape Carteret 
Carolina Beach 

Carrboro 

Carthage 

Cary 

Catawba 

Chadboum 

Chapel Hill ... 

Charlotic 

Cherokee 

Cherryville 

China Grove 
Chocowinity 

Claremont 

Clayton 

Clinton 

Clyde 

Coats 

Concord 

Conover 

Conway 

Cooleemee 

Cornelius 

Cramerton 

Creedmoor 

Dallas 

Davidson 

Denton 

Dobson 

Drexel 

Dunn 

Durham 

East Bend .... 
East Spencer . . 

Eden 

Edenton 

Elizabeth City 
Elizabethtown 

Elkin 

Ellerbe 

Elm City 

Elon College 
Emerald Isle 

Enfield 

Erwin 

Fair Bluff 

Fairmont 

Farmville 

Fayetteville 

Forest City 

Four Oaks 

Foxfire Village 

Franklin 

Franklinton . . . 

Fremont 

Fuquay-Varina 

Gamer 

Gaston 

Gastonia 

Gibson 

Gibsonville 

Goldsboro 

Graham 

Granite Falls . 
Greensboro 



I 
5 
3 
6 
120 
5 
44 
1 

4 

14 

5 

25 

25 

4 

62 

2 

10 

93 

1,015 

21 

15 

4 

1 

4 

21 

35 

3 

5 

70 

16 

1 

2 

11 

7 

11 

11 

10 

5 

4 

5 

38 

364 

1 

5 

46 

18 

39 

13 

19 

3 

4 

10 

17 

13 

13 

4 

17 

20 

289 

22 

3 

2 

II 

8 

3 

16 

30 

1 

198 

1 

13 

95 

22 

12 

5241 



1 
5 
3 
6 
94 
5 
38 
1 

4 
11 
5 

19 

24 

4 

47 

I 

6 

75 

801 

16 

13 

4 

1 

4 

15 

27 

3 

5 

58 

15 

I 

2 

II 

7 

7 

9 

6 

5 

4 

5 

31 

281 

I 

5 

43 

14 

32 

12 

16 

3 

4 

9 

13 

9 

9 

4 

13 

16 

216 

22 

3 

2 

II 

5 

3 

II 

27 

1 

159 

I 

10 

74 

20 

II 

407 



279 



Table 72. — Nninber of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued 



City 



Total 

police 

employees 



Total 
ofTicers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



NORTH CAROLINA— ContiniKd 



NORTH CAROUNA— Continued 



Greenville 

Grifton 

Grover 

Hamlet 

Havelock 

Haw River 

Hazelwood 

Henderson 

Hendersonville 

Hertford 

Hickory 

Highlands 

High Point 

High Shoals .... 

Hillsborough 

Holden Beach .. 
HoUy Ridge ..., 

Hope Mills 

Hudson 

HuntersviUe 

Indian Beach ... 

Jackson 

Jacksonville 

Jefferson 

Jonesville 

Kannapolis 

Kenansville 

Kenly 

Kemersville 

KiU Devil HiUs 

King 

Kings Mountain 

Kinston 

Kitty Hawk 

Knightdale 

Kure Beach 

La Grange 

Lake Lure 

Lake Waccamaw 

Landis 

Laurel Park 

Laurinburg 

Lawndale 

Lenoir 

Lewiston 

Lexington 

Liberty 

Lilesville 

Lillington 

Lincolnton 

Littleton 

Locust 

Long Beach 

Longview 

Louisburg 

Lowell 

Lucama 

Lumberton 

Madison 

Maiden 

Manteo 

Marion 

Marshall 

Mars HiU 

Marshville 

Matthews 

Mayodan 

McAdenville 

Mebane 

Middlesex 

Mocksville 

Monroe 

Mooresville 

Morehead City . 
Morganton 



135 

5 

I 

21 

30 

6 

5 

51 

44 

5 

101 

9 

180 

1 

15 

5 

3 

21 

II 

7 

4 

I 

107 

3 

6 

81 

3 

6 

42 

28 

10 

31 

88 

13 

6 

5 

9 

6 

1 

4 

3 

30 

I 

58 

2 

76 

6 

1 

8 

27 

3 

3 

17 

13 

II 

7 

3 

59 

12 

10 

6 

22 

1 

5 

5 

25 

14 

4 

13 

3 

12 

75 

26 

23 

91 



108 

5 

I 

17 

23 

6 

5 

46 

35 

5 

78 

9 

161 

I 

14 
5 
3 

14 

10 

7 

4 

I 

86 

3 

6 

74 

3 

6 

34 

21 

9 

24 

71 

II 

6 

5 

9 

6 

1 

4 

3 

25 

I 

48 

I 

60 

6 

I 

8 

23 

3 

3 

13 

12 

10 

6 

3 

50 

10 

10 

5 

20 

1 

5 

5 

17 
II 
4 
10 
3 
II 
65 
21 
18 
70 



27 



21 



Morrisville 

Morven 

Mount Airy 

Mount Gilead . . . 

Mount Holly 

Mount Olive 

Murfreesboro 

Murphy 

Nags Head 

Nashville 

New Bern 

Newland 

Newport 

Newton 

Newton Grove 
North Wilkesboro 

Norwood 

Oakboro 

Oak City 

Ocean Isle Beach 

Old Fort 

Oxford 

Pembroke 

Pilot Mountain .. 

Pinebluff 

Pinehurst 

Pine Knoll Shores 

Pine Level 

Pinetops 

Pineville 

Pink HiU 

Pittsboro 

Plymouth 

Polkton 

Princeton 

Raeford 

Raleigh 

Ramseur 

Randleman 

Ranlo 

Red Springs 

Reidsville 

Rhodhiss 

Richlands 

Rich Square 

River Bend 

Roanoke Rapids .. 

Robbins 

Robbinsville 

Robersonville 

Rockingham 

Rocky Mount 

Rolesville 

Rose HiU 

Rowland 

Roxboro 

Rutherfordton 

St. Pauls 

Salisbury 

Saluda 

Sanford 

Scotland Neck .... 

Seaboard 

Seagrove 

Selma 

Shallotte 

Sharpsburg 

Shelby 

Siler City 

Smithfield 

Southern Pines ... 
Southern Shores .. 

Southport 

Sparta 

Spencer 



8 


7 


37 


32 


5 


5 


23 


18 


16 


11 


9 


9 


10 


9 


18 


15 


8 


7 


62 


53 


4 


4 


4 


4 


39 


28 


2 


2 


20 


17 


5 


5 


2 


2 


6 


6 


3 


3 


34 


28 


15 


10 


9 


8 


16 


12 


8 


8 


2 


2 


6 


4 


8 


8 


1 


1 


6 


6 


14 


10 


3 


3 


14 


12 


470 


415 


6 


6 


6 


6 


6 


6 


13 


10 


42 


34 


3 


3 


2 


2 


3 


3 


38 


29 


8 


6 


4 


4 


8 


8 


29 


23 


151 


115 


4 


4 


4 


4 


8 


4 


30 


25 


II 


10 


10 


8 


79 


60 


3 


1 


61 


48 


15 


8 


2 


2 


20 


15 


7 


7 


4 


4 


61 


49 


18 


13 


29 


22 


28 


23 


7 


7 


12 


8 


5 


5 


5 


5 



280 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
ofTicers 



Total 
civilians 



NORTH CAROUNA— ContiDiKd 



Spindale 

Spring Hope 

Spring Lake 

Spruce Pine 

Stanley 

Stantonsburg 

Star 

StoneviUe 

Sugar Mountain 

Sunset Beach 

Surf City 

Swansboro 

Sylva 

Tabor City 

Tarboro 

Taylorsville 

ThomasviUe 

Topsail Beach ... 

Trent Woods 

Troutman 

Troy 

Tryon 

Valdese 

Vanceboro 

Vass 

Wadesboro 

Wagram 

Wake Forest 

Wallace 

Walnut Cove 

Warrenton 

Warsaw 

Washington 

Waxhaw 

Waynesville 

WeaverviUe 

Weldon 

WendeU 

West Jefferson 

Whispering Pines . 

Whitakers 

White Lake 

Whiteville 

Wilkesboro 

WiUiamston 

Wilmington 

Wilson 

Windsor 

Wingate 

Winston-Salem 

Winterville 

Woodfin 

Woodland 

Wrigbtsville Beach 

Yadkinville 

YoungsviUe 

Zebulon 



NORTH DAKOTA 



Bismarck 

Bowman 

Carrington 
Devils Lake 
Dickinson . . . 

Fargo 

Grafton 

Grand Forks 

Harvey 

Hazen 

Hillsboro ... 
Jamestown . 
Langdon ... 

Lisbon 

Mandan 



II 

5 

21 

15 

12 

3 

5 

4 

6 

5 

7 

4 

8 

II 

34 

8 

53 

5 

3 

2 

8 

9 

10 

1 

4 

22 

I 

19 

15 

4 

3 

13 

29 

4 

24 

7 

9 

II 

6 

6 

3 

4 

26 

15 

15 

168 

89 

6 

2 

517 

5 

7 

2 

25 

5 

4 

14 



91 
3 
4 

15 

35 
110 

13 

87 
3 
4 
2 

32 
3 
2 

30 



II 
5 

14 

II 
8 
3 
5 
4 
6 
5 
6 
4 
8 
7 

25 
8 

46 
5 
3 
2 
8 
7 
9 
I 
4 

17 
I 

14 

14 
4 
3 

10 

26 
4 

23 
6 
7 
7 
6 
6 
3 
4 

20 

14 

14 
134 

75 
6 
2 
407 
5 
7 
I 

19 
5 
4 

13 



110 



24 



NORTH DAKOTA-Continued 



Mayville 

Minot 

Rugby 

Valley City . 
Wahpeton . . . 
Watford City 
West Fargo . 
Williston .... 



OHIO 



Ada 

Akron 

Alliance 

Amberley 

Amherst 

Archbold 

Arlington Heights ... 

Ashland 

Ashtabula 

Athens 

Aurora 

Austintown 

Avon Lake 

Bainbridge Township 

Barberton 

Bath Township 

Bay Village 

Bazetta Township ... 

Beachwood 

Beavercreek 

Beaver Township 

Bedford 

Bedford Heights 

Bellaire 

Bellbrook 

Bellevue 

BellviUe 

Belpre 

Berea 

Bethel 

Beverly 

Bexley 

Blanchester 

Blendon Township 

Blue Ash 

Blufflon 

Boardman Township 

Bowling Green 

Bradford 

Brady Lake 

Brecksville 

Brewster 

Briarwood Beach 

Bridgeport 

Broadview Heights 
Brookfield Tovmship 

Brooklyn 

Brooklyn Heights 

Brook Park 

Brookville 

Brunswick 

Bryan 

Bucyrus 

Butler 

Cadiz 

Cambridge 

Canal Fulton 

Canfield 

Canton 

Carey 

Carlisle 

Carrollton 

Celina 

Centerville 



10 


7 


485 


426 


45 


35 


17 


15 


17 


12 


7 


7 


6 


6 


37 


28 


36 


30 


34 


23 


21 


16 


42 


35 


23 


22 


17 


12 


49 


43 


20 


16 


23 


22 


7 


6 


54 


35 


45 


35 


10 


6 


34 


27 


36 


30 


13 


13 


10 


7 


18 


15 


2 


2 


13 


9 


38 


29 


4 


4 


5 


3 


30 


24 


9 


5 


II 


10 


41 


33 


II 


5 


59 


49 


41 


31 


3 


3 


2 


2 


25 


20 


4 


4 


3 


3 


8 


5 


22 


17 


11 


9 


33 


27 


13 


13 


45 


36 


14 


9 


35 


27 


20 


15 


26 


20 


5 


5 


31 


25 


7 


4 


15 


10 


166 


161 


10 


7 


7 


6 


5 


5 


20 


15 


34 


27 



281 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



aty 



Total 

police 

employees 



Total 
officers 



OHIO— Continued 



Chagrin Falls 

Chardon 

Cheviot 

Chillicothe 

Cincinnati 

Circleville 

Cleveland 

Qeves 

Clinton Township . 

Oyde 

Coldwater 

College Comer .... 

Columbiana 

Columbus 

Conneaut 

Copley 

Covington 

Crestline 

Crooksville 

Cuyahoga Falls 

Dallon 

Dayton 

Deer Park 

Deflance 

Delaware 

Delhi Township ... 

DelU 

Dennison 

Deshler 

Dover 

Dublin 

East Cleveland 

Eastlake 

East Palestine 

Eaton 

Elmwood Place .... 

Elyria 

Englewood 

Euclid 

Evendale 

Fairbom 

Fairfax 

Fairfield 

Fairfield Township 

Fairlawn 

Fairport Harbor ... 

Fairview Park 

Fayette 

Findlay 

Forest 

Forest Park 

Fort Shawnee 

Franklin 

Fremont 

Gahanna 

Gallon 

Gallipolis 

Garfield Heights 

Gates Mills 

Geneva 

Geneva-on-the-Lake 

Genoa 

Gennantown 

German Township 

Gibsonburg 

Girard 

Glendale 

Golf Manor 

Goshen Township 
Grandview Heights 

Granville 

Greenfield 

Greenhills 

Greenville 

Grove City 



19 
13 
II 
52 
1,184 
26 
2,082 

I 

9 
15 

5 

I 

13 

1.735 

23 

19 

6 
14 

5 
92 

5 
594 
10 
25 
38 
26 

5 

4 

2 
22 
43 
77 
38 

9 
16 

6 
89 
22 
156 
17 
51 

9 
50 

9 
23 

5 
31 

3 
72 

2 
39 

4 
22 
37 
39 
24 
20 
65 
15 
17 

3 

4 
12 

5 

4 
24 

7 
10 

7 
20 

to 

II 

7 
28 
42 



12 

10 

10 

47 

959 

18 

1,724 

I 

8 

II 

5 

1 

9 

1,394 

18 

14 

5 

10 

4 

77 

5 

489 

9 

20 

29 

21 

5 

4 

2 

19 

34 

63 

30 

6 

II 

6 

77 

16 

95 

16 

39 

9 

41 

9 

16 

5 

29 

3 

57 

2 

32 

4 

17 

32 

34 

19 

14 

52 

12 

10 

3 

4 

7 

5 

4 

20 

7 

6 

6 

16 

8 

9 

7 

22 

32 



7 
3 
1 
5 

225 
8 

358 



4 
341 
5 
5 
I 

4 

1 

15 



105 

1 
5 
9 
5 



15 



OHIO— Continued 



Hamilton 

Harrison 

Hartville 

Hicksville 

HiUiard 

Hillsboro 

Hinckley Township 

Howland 

Hubbard 

Hubbard Township 

Huber Heights 

Hudson 

Hunting Valley 

Huron 

Independence 

Indian Hill 

Ironton 

Jackson 

Jackson Township 

Jefferson 

Johnstown 

Kent 

Kettering 

Kirtland Hills 

Lagrange 

Lakemore 

Lake Township 

Lakewood 

Lancaster 

Lawrence Township 

Lebanon 

Leipsic 

Lemon Township 

Lexington 

Liberty Township 

Lima 

Lockland 

Logan 

London 

Lorain 

Lordstown 

Loudonville 

Louisville 

Loveland 

Lyndhurst 

Madeira 

Madison Township (Lake County) 

Madison Township (Montgomery County) 

Manchester 

Mansfield 

Maple Heights 

Mariemont 

Marietta 

Marion 

Marlboro Township 

Marysville 

Mason 

Massillon 

Maumee 

Mayfield 

Mayfield Heights 

McConnelsville 

Mechanicsburg 

Mentor 

Mentor-on-the-Lake 

Miamisburg 

Miami Township 

Middleburg Heights 

Middlefield Village 

Middleport 

Middletown 

Milford 

Millersburg 

Minerva 

Minerva Park 



121 

17 

4 

7 

43 

18 

8 

17 

16 

14 

38 

15 

12 

14 

34 

24 

20 

17 

31 

6 

9 

48 

103 

12 

3 

5 

10 

105 

77 

4 

25 

2 

6 

10 

24 

98 

14 

18 

16 

99 

12 

10 

14 

14 

37 

13 

16 

24 

3 

134 

56 

10 

39 

57 

3 

17 

17 

54 

46 

19 

41 

4 

5 

88 

13 

37 

23 

35 

8 

8 

III 

14 

5 

15 
51 



104 

15 

4 

6 

31 

14 

8 

13 

12 

6 

35 

10 

II 

10 

27 

19 

14 

13 

26 

5 

5 

36 

78 

II 

2 

4 

10 

82 

53 

4 

19 

2 

2 

6 

19 

78 

14 

12 

12 

85 

8 

6 

II 

12 

29 

12 

14 

18 

2 

82 

42 

9 

33 

42 

3 

13 

16 

50 

35 

14 

32 

4 

4 

62 

9 

30 

22 

29 

7 

6 

79 

II 

5 

10 
4 



282 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



OHIO— Continued 



Mingo Junction 

Mogadore 

Monroe 

Montgomery 

Montpelier 

Moraine 

Mount Gilead 

Mount Sterling 

Mount Vernon 

Munroe Falls 

Napoleon 

Navarre 

NelsonviUe 

Newark 

New Boston 

Newburgb Heights 

Ncwcomerstown 

New Lebanon 

New Lexington 

New Paris 

New Philadelphia 

Newton Falls 

Newtown 

Niles 

North Baltimore 

North Canton 

North Kingsville 

North Olmsted 

North Randall 

North Ridgeville 

North Royalton 

Northwood 

Norton 

Norwalk 

Norwood 

Oak Harbor 

Oakwood 

Oakwood Village 

Oberlin 

Olmsted Falls 

Olmsted Township 

Ontario 

Oregon 

Orrville 

Ottawa 

Otuwa Hills 

Oxford 

Painesville 

Parma 

Pataskala 

Peninsula 

Pepper Pike 

Perkins Township 

Perrysburg 

Perry Township (Franklin County) 
Perry Township (Stark County) .. 

Pierce Township 

Piqua 

Poland 

Poland Township 

Port Clinton 

Portsmouth 

Randolph Township 

Ravenna 

Reading 

Reynoldsburg 

Richfield 

Richmond Heights 

Rittman 

Riverside 

Roseville 

Russell Township 

St. Bernard 

St. Marys 

Salem 



OHIO— Continued 



U 
7 
5 

18 
7 

33 
5 

6 

32 

8 

19 

4 

7 

66 

16 

7 

11 

7 

10 

2 

22 

8 

4 

35 

5 

26 

4 

56 

30 

33 

35 

19 

18 

27 

48 

6 

35 

18 

17 

14 

12 

16 

52 

18 

7 

15 

27 

35 

117 

4 

6 

18 

14 

25 

10 

22 

12 

31 

5 

6 

17 

44 

II 

27 

22 

46 

14 

25 

12 

4 

3 

7 

17 
17 
19 



9 

7 

I 

17 

7 

26 

5 

4 

23 

7 

14 

4 

5 

60 

12 

4 

6 

7 

6 

2 

18 

6 

4 

30 

5 

20 

4 

46 

23 

27 

28 

14 

13 

21 

48 

5 

29 

14 

13 

9 

9 

12 

42 

13 

7 

II 

19 

26 

98 

4 

5 

14 

10 

19 

9 

17 

11 

28 

5 

6 

12 

41 

II 

19 

19 

35 

10 

19 

8 

4 

3 

7 

17 

13 

18 



Salineville 

Sandusky 

Sebring 

Seven Hills 

Seville 

Shadyside 

Shaker Heights 

Sharon Township 

Sharonville 

ShefTield Lake 

Shelby 

Sidney 

Silverton 

Smith Township 

Solon 

South Euclid 

South Russell 

Spencerville 

Springboro 

Springdale 

Springfield 

Springfield Township 

Steubenville 

Stow 

Streetsboro 

Strongsville 

Struthers 

Sunbury 

Swanton 

Sylvania 

Sylvania Township 

Tallmadge 

Terrace Park 

Tiffin 

Tipp City 

Toledo 

Toronto 

Trenton 

Trotwood 

Troy 

Twinsburg 

Uhrichsville 

Union City 

Uniontown 

Union Township (Butler County) 
Union Township (Clermont County) 

University Heights 

Upper Arlington 

Upper Sandusky 

Urbana 

Valley View 

Vandalia 

Van Wert 

Vermilion 

Village of Highland Hills 

Wadsworth 

Waite HiU 

Walbridge 

Walton Hills 

Wapakoneta 

Warrensville Heights 

Washington Court House 

Waterville 

Wauseon 

Waverly 

Waynesville 

Wellington 

Wellsville 

West CarroUton 

Westerville 

West Jefferson 

Westlake 

Whitehall 

Wickliffe 

Willard 



2 


2 


54 


46 


8 


5 


16 


15 


5 


4 


6 


3 


101 


68 


6 


5 


41 


32 


12 


9 


18 


15 


35 


30 


11 


9 


2 


2 


48 


39 


40 


33 


7 


7 


4 


4 


16 


11 


37 


32 


121 


94 


41 


30 


52 


43 


41 


27 


18 


12 


54 


45 


15 


15 


5 


5 


4 


4 


34 


28 


29 


23 


32 


22 


6 


5 


40 


28 


12 


11 


723 


671 


10 


10 


10 


6 


26 


24 


36 


34 


27 


19 


9 


8 


3 


3 


6 


5 


41 


30 


38 


28 


40 


31 


62 


52 


8 


7 


22 


18 


12 


12 


37 


28 


27 


21 


23 


18 


4 


4 


26 


21 


5 


5 


7 


3 


14 


10 


17 


13 


40 


35 


22 


16 


10 


9 


11 


9 


13 


9 


2 


2 


5 


3 


6 


6 


30 


23 


64 


52 


11 


8 


41 


35 


47 


38 


34 


30 


16 


13 



283 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



OHIO— Continued 

Willoughby 

WiUoughby Hills 

Willowick 

Wilmington 

Windham 

Woodlawn 

Woodsfield 

Woodville 

Wooster 

Worthington 

Wyoming 

Xenia 

Yellow Springs 

Youngstown 

Zanesville 

OiOAHOMA 

Ada 

Altus 

Alva 

Anadarko 

Antlers 

Apache 

Ardmore 

Arkoma 

Atoka 

Barnsdall 

Bartlesville 

Beggs 

Bethany 

Bixby 

Blackwell 

Blanchard 

Bristow 

Broken Arrow 

Broken Bow 

Bums Flat 

Carnegie 

Catoosa 

Chandler 

Checotah 

Chelsea 

Cherokee 

Chickasha 

Choctaw 

Chouteau 

Claremore 

Clayton 

Cleveland 

Clinton 

Coalgate 

CoUinsville 

Comanche 

Commerce 

CordeU 

Coweta 

Coyle 

Crescent 

Cushing 

Davis 

Del City 

Dewey 

Drumright 

Duncan 

Durant 

Edmond 

Elk City 

Elmore City 

El Reno 

Enid 

Erick 

Eufaula 

Fairfax 

Fairview 



OiCLAHOMA— Continued 



47 

28 

24 

18 

4 

15 

5 

5 

38 

42 

19 

62 

12 

208 

70 



42 

48 

10 

20 

10 

4 

54 

4 

12 

5 

79 

6 

34 

16 

20 

9 

15 

95 

15 

2 

9 

15 

11 

11 

8 

8 

45 

15 

6 

45 

6 

6 

30 

6 

6 

5 

5 

6 

12 

2 

7 

22 

12 

43 

9 

5 

49 

31 

93 

25 

5 

29 

108 

2 

8 

9 

9 



4 


1 


33 


5 


31 


11 


15 


4 


42 


20 


8 


4 


177 


31 


55 


15 


32 


10 


41 


7 


5 


5 


16 


4 


6 


4 


4 




37 


17 


4 




11 


1 


3 


2 


49 


30 


2 


4 


24 


10 


12 


4 


15 


5 


5 


4 


11 


4 


69 


26 


10 


5 


7 




6 


3 


11 


4 


7 


4 


7 


4 


3 


5 


4 


4 


34 


11 


13 


2 


4 


2 


29 


16 


4 


2 


6 




21 


9 


5 


1 


4 


2 


5 




5 




6 




8 


4 


4 


3 


17 


5 


10 


2 


34 


9 


8 


1 


5 




43 


6 


25 


6 


74 


19 


17 


8 


2 


3 


24 


5 


83 


25 


2 





Forest Park ... 
Fort Gibson 

Frederick 

Geary 

Glenpool 

Goodwell 

Gore 

Granite 

Grove 

Guthrie 

Guymon 

Harrah 

Hartshome 

Haskell 

Healdton 

Heavener 

Hennessey 

Henryetta 

Hobart 

Holdenville . . . 

HoUis 

Hominy 

Hugo 

Hulbert 

Idabel 

Inola 

Jay 

Jenks 

Jones 

Kingfisher 

Kingston 

Konawa 

ICrebs 

Laveme 

Lawton 

Lexington 

Lindsay 

Locust Grove 
Lone Grove .. 

Luther 

Madill 

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 

Okcmah 

Oklahoma City 

Okmulgee 

Oologah 

Owasso 

Pauls Valley .. 

Pawhuska 

Pawnee 



3 


2 


5 


5 


17 


11 


8 


4 


13 


8 


2 


2 


3 


3 


3 


3 


20 


12 


27 


22 


19 


12 


6 


6 


5 


5 


6 


6 


7 


3 


9 


6 


8 


4 


15 


10 


12 


7 


12 


8 


9 


5 


11 


6 


14 


10 


6 


4 


24 


18 


3 


1 


10 


5 


16 


12 


4 


4 


8 


6 


4 


4 


6 


3 


2 


2 


5 


2 


189 


148 


10 


6 


10 


7 


7 


2 


4 


4 


4 


4 


10 


10 


10 


6 


9 


5 


3 


3 


11 


10 


3 


3 


5 


4 


49 


39 


7 


3 


5 


5 


33 


26 


118 


88 


2 


2 


64 


47 


4 


4 


10 


4 


94 


72 


20 


14 


11 


6 


5 


5 


19 


14 


4 


4 


13 


9 


133 


102 


8 


6 


3 


3 


6 


2 


10 


6 


1,182 


882 


34 


27 


5 


3 


23 


16 


22 


14 


13 


7 


5 


5 



284 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



OKLAHOMA— Continued 



OREGON— Continued 



Perkins 

Perry 

Piedmont . . . 

Pocola 

Ponca City 

Porum 

Poteau 

Prague 

Pryor 

Purcell 

Ringling . . . . 

Roland 

Rush Springs 

Salina 

Sallisaw 

Sand Springs 

Sapulpa 

Sayre 

Seminole 

Shattuck . . . . 

Shawnee 

Shidler 

Skiatook . . . . 

Snyder 

Spencer 

Spiro 

Stigler 

Stillwater . . . 

StilweU 

Stratford . . . . 

Stroud 

Sulphur 

Tahlequab 

Talihina 

Tecumseh . . . 
Tishomingo 

Tonkawa 

Tulsa 

Tuttle 

Valliant 

Vian 

ViUage 

Vinita 

Wagoner 

Walters 

Warner 

Warr Acres 

Watonga 

Waukomis 

Waurika 

Waynoka .... 
Weatherford 
Weleetka .... 
Westville .... 
Wetumka . . . 

Wewoka 

Wilburton . . . 
Woodward 
Wright City 
Wynnewood 

Yale 

Yukon 



Albany 
Amity ... 
Ashland . 
Astoria . . 
Athena 
Aumsville 
Aurora 
Baker . . . 
Bandon 
Beaverton 



OREGON 



4 

17 

6 

8 

60 

2 

19 

9 

22 

22 

3 

8 

4 

1 

18 

36 

46 

9 

19 

6 

66 

1 

13 
2 
8 
5 

12 

73 

15 

3 

10 

12 

30 

7 

16 

12 

11 

877 



4 

12 
4 
6 

54 
2 

14 
6 

17 

17 
3 
4 
4 
1 

15 

26 

36 
6 

14 
2 

48 
1 
9 
2 
7 
5 
7 

53 

10 
3 
6 
7 

22 
4 

11 
8 
7 
699 
5 
4 
4 

21 

12 

12 
5 
2 

20 
7 
1 
3 
3 

17 
4 
4 
5 

II 
5 

19 
3 
4 
3 

21 



4 
5 
8 
3 
5 
4 
4 
178 
3 
4 



12 



Bend 

Boardman 

Brookings 

Bums 

Butte Falls 

Canby 

Cannon Beach . 

Canyonville 

Carlton 

Central Point . . 

Clatskanie 

Coburg 

Coos Bay 

Coquille 

Cornelius 

Corvallis 

Cottage Grove .. 

Culver 

Dallas 

Dundee 

Eagle Point 

Elgin 

Enterprise 

Eugene 

Florence 

Forest Grove ... 

Garibaldi 

Gearhart 

Gervais 

Gladstone 

Gold Beach 

Gold HiU 

Grants Pass 

Gresham 

Heppner 

Hermiston 

Hillsboro 

Mines 

Hood River 

Hubbard 

Independence . . . 

Jacksonville 

Jefferson 

John Day 

Junction City ... 

Keizer 

King City 

Klamath Falls .. 

La Grande 

Lake Oswego ... 

Lakeview 

Lebanon 

Lincoln City 

Madras 

McMinnville 

Medford 

Merrill 

Milton-Freewater 

Milwaukie 

Molalla 

Monmouth 

Mount Angel ... 
Myrtle Creek ... 
Myrtle Point ... 

Newberg 

Newport 

North Bend .... 
North Plains ... 

Nyssa 

Oakland 

Oakridge 

Ontario 

Oregon City 

Pendleton 

I Philomath 



47 


37 


2 


2 


18 


II 


9 


5 


19 


14 


8 


7 


4 


3 


18 


12 


6 


5 


2 


2 


38 


27 


11 


9 


10 


9 


69 


43 


21 


15 


16 


14 


3 


3 


6 


5 


3 


3 


4 


4 


284 


145 


16 


10 


29 


20 


2 


2 


2 


2 


2 


2 


16 


11 


6 


5 


37 


27 


104 


75 


3 


3 


23 


16 


56 


50 


2 


2 


12 


10 


4 


4 


9 


8 


3 


3 


2 


2 


8 


4 


II 


7 


27 


23 


2 


2 


35 


31 


31 


18 


61 


38 


5 


5 


27 


19 


25 


18 


8 


7 


26 


20 


99 


69 


13 


8 


30 


21 


9 


8 


10 


9 


5 


4 


14 


8 


8 


6 


28 


18 


24 


20 


22 


16 


2 


2 


7 


7 


2 


2 


11 


6 


24 


16 


30 


24 


30 


23 


7 


6 



285 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued 



City 



Total 

police 

employees 



Total 
ofTicers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



OREGON— Continued 



Phoenix 

Pilot Rock 

Portland 

Powers 

Prairie City 

Prineville 

Rainier 

Redmond 

Reedsport 

Rockaway 

Roque River 

Roseburg 

St. Helens 

Salem 

Sandy 

Scappoose 

Seaside 

Shady Cove 

Sherwood 

Silverton 

Sisters 

Springfield 

Stanfield 

Stayton 

Sutherlin 

Sweet Home 

Talent 

The Dalles 

Tigard 

Tillamook 

Toledo 

Troutdale 

Tualatin 

Turner 

Umatilla 

Umatilla Tribal 

Union 

Vale 

Vemonia 

Waldport 

Warrenton-Hammond 

West Linn 

Weston 

Willamina 

Winston 

Woodbury 

Yamhill 



PENNSYLVANU 



Abington Township 

Adams Township 

Akron 

Albion 

Alburtis 

Aldan 

Aleppo Township 

Aliquippa 

Allegheny Township (Blair County) 

Allegheny Township (Westmoreland County) 

Allentown 

Altoona 

Ambler 

Ambridge 

Amity Township 

Annville Township 

Archbald 

Armagh Township 

Arnold 

Ashland 

Ashley 

Aspinwall 

Aston Township 

Athens 

Athens Township 



6 

2 

1,006 

2 

2 

20 

6 

20 

18 

3 

5 

38 

21 

217 

9 

8 

22 

I 

5 

II 

4 

79 

3 

12 

10 

17 

5 

17 

51 

9 

12 

14 

24 

2 

7 

12 

2 

5 

5 

4 

5 

22 

1 

2 

12 

23 

2 



III 
3 
4 
2 
2 
4 
5 

18 
4 
6 

207 



5 
2 
811 
2 
2 

13 
5 

15 

12 
3 
5 

33 

16 

147 

8 

6 

17 
1 
5 

10 
3 

52 
3 

10 
8 

13 
4 

15 

39 
8 
8 

12 

22 
2 
6 
7 
2 
5 
4 
3 
5 

18 
1 
2 
7 

19 
2 



90 
3 
4 
2 
2 
4 
5 

18 

4 

5 

186 

70 

II 

II 

5 

5 

5 

11 
5 
2 
5 

16 
5 
6 



I 
195 



PENNSYLVANIA— Continued 



Auburn 

Avalon 

Avoca 

Baden 

Baldwin Borough 

Baldwin Township 

Bangor 

Bamesboro 

Barrett Township 

Bath 

Beaver 

Beaver Falls 

Bedford 

Bedminster Township 

Belle Acres 

Bellefonte 

Belle Veraon 

Bellevue 

Bellwood 

Ben Avon 

Bensalem Township 

Bentleyville 

Benton 

Benzinger Township 

Berlin 

Berwick 

Bessemer 

Bethel Park 

Bethel Township (Lebanon County) 

Bethlehem 

Bethlehem Township 

Big Beaver 

Biglerville 

Birdsboro 

Birmingham Township 

Blair Township 

Blairsville 

Blakely 

Blawnox 

Bloomsburg Town 

Blossburg 

Boyertown 

Brackenridge 

Braddock 

Braddock Hills 

Bradford 

Bradford Township 

Brecknock Township 

Brentwood 

Briar Creek Township 

Bridgeport 

Bridgeville 

Bridgewater 

Brighton Township 

Bristol 

Bristol Township 

Brockway 

Brookhaven 

Brookville 

Brownsville 

Bryn Athyn 

Buckingham Township 

Burgettstown 

Bumham 

Bushkill Township 

Butler 

Butler Township (Butler County) 

Butler Township (Luzerne County) 

Butler Township (Schuylkill County) 

Caernarvon Township (Berks County) ... 
Caernarvon Township (Lancaster County) 

California 

Cain Township 

Cambria Township 

Cambridge Springs 



1 
9 
2 
4 

27 
5 
6 
2 
5 
3 

12 

1 
7 
5 
1 

12 
1 

18 
I 
4 

88 
2 
2 
7 
2 

16 
1 

43 

I 

144 

20 
3 
I 
5 
2 
3 
5 
6 
4 

15 
3 
6 
4 
7 
4 

21 
5 
3 

16 
2 

11 
6 
2 
4 

15 

87 
2 

10 
9 

10 
5 

15 
I 
6 
4 

27 

23 
4 
3 
4 
I 
9 

15 
1 
2 



8 


1 


7 




4 




22 


5 


5 




6 




7 




5 




3 




8 


4 


18 




6 


1 


5 




1 




9 

1 


3 


13 

1 


5 


4 




70 


18 


■> 




7 




6 


1 


7 




12 
1 


4 


35 
1 


8 


125 


19 


19 


1 


3 




t 




5 




7 




3 




5 




6 




4 




12 


3 


3 




6 




4 




3 


4 


3 


1 


19 


2 


5 




■>. 




12 


4 


7 




10 


1 


6 




? 




4 




14 


1 


68 


19 


■> 




9 


1 


7 


2 


6 


4 


5 




14 
1 


1 


2 


4 


4 




24 


3 


18 


5 


4 




1 




4 




1 




6 


3 


13 
1 


2 


7 





286 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued 



City 



Total 

police 

employees 



Total 
ofTicers 



Total 

civilians 



City 



Total 

police 

employees 



Total 
officers 



PENNSYLVANU— Cootinned 



Camp Hill 

Canonsburg 

Canton 

Carbondale 

Carlisle 

Carmicbaels 

Carnegie 

Carroll Township (Washington County) 

Carroll Township (York County) 

CanoU Valley 

CarroUtown 

Castle Shannon 

Catasauqua 

Catawissa 

Cecil Township 

Center Township 

Centerville 

Central City 

Chalfont 

Chambersburg 

Charleroi 

Chartiers Township 

Cheltenham Township 

Chester 

Chester Hill 

Chester Township 

Cheswick 

Chippewa Township 

Churchill 

Clarion 

Qark 

Clarks Summit 

Qearfield 

Cleona 

Clifton Heights 

Clinton Township 

Coaldale 

Coalport 

Coal Township 

Coatesville 

Cochranton 

Colcbrookdale Township 

CoUegeviUe 

Collier Township 

CoUingdale 

Columbia 

Colwyn 

Conemaugh Township (Cambria County) 
Conemaugh Township (Somerset County) 

Conestoga Township 

Conewago Township 

Conewango Township 

Connellsville 

Conshohocken 

Conway 

Conyngham 

Conyngham Township 

Coolbaugh Township 

Coopersburg 

Coplay 

Coraopolis 

Cornwall 

Corry 

Coudersport 

Covington Township 

Crafton 

Cranberry Township 

Crescent Township 

Cresson 

Cressona 

Cresson Township 

Cumberland Township (Adams County) 
Ciunberland Township (Green County) 

Cumru Township 

Curwensville 



15 

2 

13 

32 

2 

18 

4 

6 

2 

1 

10 

9 

3 

9 

14 

4 

2 

4 

28 

10 

5 

88 

121 

1 

7 

3 

7 

10 

9 

1 

4 

9 

2 

12 

2 

3 

I 

12 

31 

2 

6 

6 

8 

10 

18 

3 

I 

6 

3 

5 

4 

17 

13 

3 

2 

I 

9 

5 

4 

13 

2 

16 

3 

2 

13 

18 

1 

2 

2 

1 

5 

2 

24 

2 



8 
13 

2 

13 

29 
1 

12 
4 
6 
2 
I 
9 
8 
3 
9 

14 
4 
2 
3 

25 

10 
5 

79 
105 
I 
7 
3 
6 

10 
9 
1 
3 
8 
2 

10 
2 
3 
I 

12 

22 
2 
6 
6 
8 
9 

13 
2 
I 

6 
3 
5 
4 

15 

12 
3 
2 
I 
8 
5 
4 
9 
2 

12 
3 
2 
9 

16 
1 
2 
2 
1 
5 
2 

22 
2 



PENNSYLVANU— Continoed 



Dale 

Dallas 

Dallas Township 

Dalton 

Danville 

Darby 

Darby Township 

Daugherty Township 

Denver 

Derry 

Derry Township (Dauphin County) 

Derry Township (Mifflin County) 

Dickson City 

Dillsburg 

Donegal Township 

Donora 

Dormont 

Douglass Township (Berks County) 

Douglass Township (Montgomery County) 

Downingtown 

Doyleslown 

Doylestown Township 

Du Bois 

Duboistown 

Dunbar 

Duncannon 

Duncansville 

Dunmore 

Dupont 

Duquesne 

Duryea 

East Berlin 

East Bethlehem Township 

East Brandywine Township 

East Buffalo Township 

East Cocalico Township 

East Conemaugh 

East Coventry 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 Pennsboro Township 

East Pikeland Township 

East Pittsburgh 

East Rockhill Township 

East Stroudsburg 

East Taylor Township 

Easttown Township 

East Vincent Township 

East Washmgton 

East Whiteland Township 

Ebensburg 



Economy 

Eddystone 

Edgewood 

Edgeworth 

Edinboro 

Edwardsville 

Elizabeth 

Elizabethtown 

Elizabeth Township 

Elkland 

Ellwood City 

Emmaus 

Emporium 

Emsworth 

Ephrala 

Ephrata Township . 



I 

4 
7 
2 
8 
14 
II 
I 

4 

2 

26 

7 

9 

5 

I 

6 

13 

3 

7 

12 

15 

16 

II 

I 

I 

2 

I 

20 

2 

14 

3 

1 

3 
7 
5 

13 

2 

2 

1 

I 

4 

2 

21 

21 

3 

2 

23 

57 

15 

5 

2 

1 

13 

2 

13 

4 

2 

13 

5 

6 

5 

7 

5 

7 

7 

1 

11 

14 

2 

12 

14 

2 

3 

18 

5 



287 



Table 72.— Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued 



City 



Total 

police 

employees 



Total 
ofTicers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
ofTicers 



PENNSYLVANIA— Continued 



Erie 

Etna 

Everett 

Everson 

Exeter 

Exeter Township (Berks County) .... 
Exeter Township (Luzerne County) 

Fairchance 

Fairview 

Fairview Township (Luzerne County) 
Fairview Township (York County) .. 

Fallowfield Township 

Falls Township (Bucks County) 

Farrell 

Fawn Township 

Fell Township 

Ferguson Township 

Femdale 

Findlay Township 

Fleetwood 

Folcroft 

Ford City 

Forest City 

Forest Hills 

Forks Township 

Forty Fort 

Forward Township 

Foster Township 

Fountain Hill 

Fox Chapel 

Frackville 

Franconia Township 

Franklin (Cambria County) 

Franklin (Venango County) 

Franklin Park 

Franklin Township (Beaver County) 
Franklin Township (Carbon County) 

Freedom-Greenfield Township 

Freeland 

Freemansburg 

Freeport 

Galeton 

Gallitzin Township 

Geistown 

German Township 

Gettysburg 

Girard 

GirardviUe 

Glassport 

Glenolden 

Glen Rock 

Granville Township 

Greencastle 



Greensburg 

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 



219 
8 
4 
1 
6 
16 
2 
1 
1 
3 
13 
3 

59 
16 
3 
I 
12 
2 
17 
5 
9 
4 
2 
14 
10 
6 
5 
5 
7 
12 
6 
8 
1 
22 
6 
1 
4 
2 
5 
2 
2 
1 
1 
2 
1 
15 
4 
1 
4 
8 
2 
5 
3 

32 

II 

12 

9 

2 

6 

13 

20 

16 

18 

5 

4 

218 

17 

3 

1 

18 

27 

75 

28 

2 

3 



193 
7 
3 
1 
4 

15 
2 
1 
1 
3 

12 
3 

49 

14 
3 
1 

12 
2 

11 
5 
9 
4 
2 

10 
9 
5 
5 
4 
7 

12 
6 
7 
1 

17 
6 
1 

4 
2 
5 
2 
2 
1 
1 
2 
1 

13 
4 
1 
4 
7 
2 
5 
3 

26 

10 

11 
9 
2 
6 

13 

1 

14 

14 

5 

4 

173 

13 
3 
1 

13 

19 

62 

25 
2 
3 



PENNSYLVANLV— Conddued 

Heidelberg Township (Berks County) 
Heidelberg Township (Lebanon County) 

Hellam Township 

Hellertown 

Hemlock Township 

Hempfield Township 

Hermitage 

Highspire 

Hilltown Township 

Holidaysburg 

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) 

Jeannette 

Jefferson 

Jefferson Township 

Jenkins Township 

Jenkintown 

Jermyn 

Jersey Shore 

Jessup 

Jim Thorpe 

Johnsonburg 

Johnstovra 

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 

Latrobe 

Laureldale 

Lawrence Park Township 

Lawrence Township 

Lebanon 

Leechburg 

Leetsdale 

Leet Township 

Lehighton 

Lehigh Township 

Lehman Township 

Lemoyne 



Lewisburg 

Lewis Run 

Lewistown 

Ligonier 

Ligonier Township 



1 
1 
6 

10 
2 
7 

30 
5 

16 

12 
1 
8 
6 
1 

12 

41 
1 
4 
6 

13 
2 

27 
7 
4 
6 
4 
2 
8 

19 

14 
1 
4 

14 
2 
6 
1 
6 
5 

48 
1 
6 

12 

10 
9 
1 

27 
8 
9 
1 
4 
9 
2 
2 
155 

28 

21 
5 
4 

12 
3 
7 
8 

44 
3 
3 
5 

10 
8 
2 
7 
7 
1 

20 
2 
2 



1 

1 

6 

9 

2 

6 
25 

5 
13 

7 

1 

7 

6 

1 
11 
34 

1 

4 

6 
II 

2 
20 

7 

4 

6 

4 

2 

7 

16 
13 

1 

4 
13 

2 

6 

1 

5 

5 
44 

1 

6 
II 

9 

9 

1 
26 

8 

8 

1 

4 

8 

2 

2 

126 

21 

17 

5 

4 
U 

3 

6 

8 
37 . 

3 

3 

5 

8 

7 

2 

6 

7 

1 
15 

2 

2 



288 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued 



City 



Total 

police 

employees 



Total 
ofTicers 



Total 

civilians 



City 



Total 

police 

employees 



Total 
officers 



PENNSYLVANU— CondButd 



PENNSYLVANIA— Continued 



LiUy 

Limerick Township 

Lincoln 

Linesville 

Lititz 

Littlestown 

Lock Haven 

Locust Township 

Logan Township 

Loretto 

Lower Allen Township 

Lower Alsace Township 

Lower Burrell 

Lower Chichester Township 

Lower Gwynedd Township 

Lower Makefield Township 

Lower Merion Township 

Lower Moreland Township 

Lower Mount Bethel Township 

Lower Paxton Township 

Lower Pottsgrove Township 

Lower Providence Township 

Lower Salford Township 

Lower Saucon Township 

Lower Southampton Township 

Lower Swatara Township 

Lower Yoder Township 

Luzerne 

Luzerne Township 

Lykens 

Macungie 

Makanoy City 

Mahoning Township (Carbon County) 

Mahoning Township (Montour County) 

Malvern 

Manheim 

Manbeim Township 

Manor Township 

Mansfield 

Marcus Hook 

Marietta 

Marlborough Township 

Marple Township 

Mars 

Martinsburg 

MarysviUe 

Masontown 

Matamoras 

Mayfield 

McAdoo 

McCandless 

McConnellsburg 

McDonald 

McKeesport 

McKees Rocks 

McSherrystown 

Meadville 

Mechanicsburg 

MecbanicsviUe 

Media 

Menallen Township 

Mercer 

Mercersburg 

Meyersdale 

Middleburg 

Middlesex Township (Butler County) 

Middlesex Township (Cumberland County) 

Middletown 

Middletown Township 

Midland 

MifTlinburg 

Mifflin Town 

Milford 

Millboume 

Millcreek Township 



1 

11 

1 

2 

9 

5 

13 

I 

20 

1 

21 

7 

13 

4 

19 

27 

162 

28 

I 

50 

9 

32 

12 

14 

25 

12 

4 

2 

1 

2 

3 

7 

4 

5 

7 

6 

56 

15 

5 

5 

3 

5 

41 

2 
3 

5 

2 

I 

3 

33 

2 

2 

43 

13 

4 

29 

15 

I 

20 

1 

3 

2 

4 

I 

4 

g 

16 

58 

4 

5 

I 

2 

4 

62 



1 
9 
I 
2 
8 
5 

12 

I 

14 

1 

20 

7 

13 

4 

16 

24 

134 

21 

I 

44 

8 

25 

II 

10 

22 

II 

4 

2 

I 

2 

3 

6 

4 

5 

6 

6 

43 

14 

5 

4 

2 

4 

32 

I 

2 

3 

5 

2 

1 

3 

27 

2 

2 

41 

9 

4 

22 

14 

I 

13 

I 

3 

2 

4 

I 

4 

7 

15 
47 
4 
5 
I 
2 
4 
48 



14 



Millersburg 

Millersville 

Millvale 

MillviUe 

M ilton 

Minersville 

Mohnton 

Monaca 

Monessen 

Monongahela 

Monroeville 

Montgomery 

Montgomery Township 

Montoursville 

Montrose 

Moon Township 

Moore Township 

Moosic 

Morrisville 

Morton 

Moscow 

Mountaintop Regional 

Mount Carmel 

Mount Carmel Township 

Mount Holly Springs 

Mount Jewett 

Mount Joy 

Mount Joy Township 

Mount Lebanon 

Mount Oliver 

Mount Penn 

Mount Pleasant 

Mount Pocono 

Mount Union 

Muhlenberg Township 

Muncy 

Munhall 

Murrsville 

Myerstown 

Nanticoke 

Nanty Glo 

Narberth 

Nazareth Area 

Neshannock Township 

Nesquehoning 

Nether Providence Township 

Neville Township 

Newberry Township 

New Bethlehem 

New Brighton 

New Britain 

New Britain Township 

New Castle 

New Cumberland 

New Eagle 

New Freedom 

New Hanover Township 

New Holland 

New Hope 

New Kensington 

New Oxford 

Newport 

Newport Township 

New Sewickley Township 

Newton Township (Lackawanna County) 

Newtown 

Newtown Township (Bucks County) 

Newtown Township (Delaware County) 

Newville 

New Wilmington 

Nockamixon Township 

Norristown 

Northampton 

Northampton Township 

North Belle Vernon 



9 


8 


5 


4 


53 


41 


5 


5 


5 


5 


3 


3 


3 


3 


6 


5 


24 


23 


3 


3 


22 


18 


20 


16 


4 


4 


16 


12 


2 


2 


6 


6 


12 


11 


4 


4 


12 


12 


8 


6 


11 


10 


3 


2 


10 


5 


8 


7 


39 


35 


5 


5 


12 


3 


3 


3 


6 


6 


9 


8 


9 


7 


26 


24 


2 


2 


2 


2 


7 


4 


6 


5 


3 


3 


3 


3 


17 


15 


15 


14 


3 


3 


4 


4 


3 


3 


81 


73 


14 


10 


44 


37 


2 


2 



289 



Table 72.— Nunber of FoU-time Law Enforcement Employees, Cities, October 31, 1990 — Continued 



Gty 



Total 

police 

employees 



Total 
oflficers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
ofTicers 



PENNSYLVANU— Contiinied 



North Bethlehem Township 

North Braddock 

North Catasaqua 

North Charleroi 

North Codorus Township 

North Cornwall Township 

North Coventry Township 

North East 

Northeastern Regional 

Northern York Regional 

North Fayette Township 

North Franklin Township 

North Huntington Township 

North Lebanon Township 

North Londonderry Township 

North Middleton Township 

North Sewickley Township 

North Strabane Township 

Northumberland 

North Versailles Township 

North Wales 

Norwegian Township 

Norwood 

Oakdale 

Oakmont 

O'Hare Township 

Ohio Township 

Ohioville 

Oil City 

Old Forge 

Old Lycoming Township 

Oley Township 

Olyphant 

Orangeville 

Orwigsburg 

Osceola Mills 

Oxford 

Palmerton 

Palmer Township 

Palmyra 

Parkside 

Parks Township 

Patterson Township 

Patton 

Patton Township 

Paxtang 

Pen Argyl 

Penbrook 

Penn Hills 

Penn Township (Butler County) 

Peiu Township (Lancaster County) 

Penn Township (Westmoreland County) 

Penn Township (York County) 

Pequea Township 

Perkasie 

Perryopolis 

Peters Township 

Philadelphia 

Philipsburg 

Phocnixville 

Pine Creek Township 

Pine Grove 

Pine Township 

Pitcaim 

Pittsburgh 

Pittston 

Plainfleld Township 

Plains Township 

Pleasant Hills 

Plum 

Plumstead Township 

Plymouth 

Plymouth Township 

Pocono Township 

Point Marion 



1 
4 
4 
2 
2 

10 
6 

12 
7 

33 

16 
8 

24 
8 
4 
5 
2 
8 
2 

12 
4 
1 
7 
I 
9 

12 
3 
1 

24 
7 
8 
I 
6 
I 
4 
1 
8 
9 

23 
9 
2 
1 
4 
2 

II 
3 
3 
5 

58 
4 
4 

13 

19 
3 

12 
2 

23 

7,586 

1 

27 
I 
3 

II 

3 

1,181 

12 
6 
8 

18 

23 
6 

10 

40 

10 
I 



1 
4 
4 
2 
2 
8 
5 
6 
6 

29 

12 
8 

19 
7 
4 
5 
2 
8 
2 

12 
4 
1 
6 
1 
7 

12 
3 
1 

18 
6 
7 
I 
6 
I 
4 
I 
7 
8 

18 
8 
2 
1 
4 
2 

10 
3 
3 
5 

50 
3 
4 

12 

17 
3 

11 
2 

18 

6,651 

I 

22 
I 
3 

II 
3 
1,147 
9 
6 
8 

14 

19 
6 
6 

33 
9 
1 



5 
935 



PENNSYLVANIA— Continued 



Point Township 

Portage 

Port Allegany 

Port Carbon 

Port Vue 

Pottstown 

Pottsville 

Prospect Park 

Puiusutawney 

Pymatuning Township 

Quakertown 

Raccoon Township 

Radnor Township 

Ralpho Township 

Rankin 

Reading 

Red Lion 

Redstone Township 

Reserve Township 

Reynoldsville 

Richland 

Richland Township (Allegheny County) 
Richland Township (Cambria County) 

Ridgway 

Ridley Park 

Ridley Township 

Riverside 

Roaring Brook Township 

Roaring Spring 

Robesonia-Heidelberg 

Robeson Township 

Robinson Township 

Rochester 

Rochester Township 

Rockledge 

Rosslyn Farms 

Ross Township 

Rostraver 

Royersford 

Rush Township 

Rye Township 

Saegertown 

St. Clair 

St. Marys 

Salisbury Township 

Saltsburg 

Sandy Lake 

Sandy Township 

Saxonburg 

Sayre 

Schuylkill Haven 

Schuylkill Township 

Scottdale 

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 



4 
2 
3 
3 
3 

48 

32 
8 

15 
6 

15 
2 

60 
4 
1 
203 
5 
2 
3 
2 
I 

22 

II 
6 
9 

42 
3 
I 
I 
2 
2 

20 
9 
1 
4 
2 

48 

10 
7 
I 
I 
I 
6 
8 

11 
1 
I 
5 
1 
9 

II 
6 
7 

29 
4 
2 
146 
6 
4 
6 

14 
8 

39 

17 
3 

34 

10 
6 
6 
2 
7 
4 
3 
1 
8 



4 
2 
3 
3 
3 

40 

28 
8 
9 
6 

13 
2 

50 
4 
1 
175 
5 
2 
3 



i. 
1 




17 


5 


10 


1 


6 




8 


1 


34 


8 


3 




1 




I 




7 




7 




15 


5 


8 


1 


1 




4 




7 




39 


9 


9 


1 


6 


1 


1 




7 


I 


10 


I 


I 




^ 




1 




8 


1 


7 


4 


5 


I 


7 




25 


4 


4 




7 




140 


6 


5 


1 


4 




6 




10 


4 


7 


1 


30 


9 


13 


4 


3 




27 


7 


9 


1 


6 




5 


1 


•) 




7 




4 




2 
1 


1 


7 


1 



290 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued 



Cily 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 
employees 



Total 
officers 



Total 
civilians 



PENNSYLVANU— Conttaoed 



PENNSYLVANU— Continued 



Shippensburg 

Shippingport 

Shiremanstown 

Shrewsbury 

Silver Spring Township 

Sinking Spring 

Slatington 

Slippery Rock 

Smetbport 

Smithfield 

Smith Township 

Synder Township 

Solebury Township 

Somerset 

Souderton 

South Abington Township 

South Beaver Township 

South Centre Township 

South Coatesville 

South Fayette Township 

South Fork 

South Greensburg 

South Lebanon Township 

South Londonderry Township 

Southmont 

South Park Township 

South Strabane Township 

South Waverly 

Southwest Greensburg 

South Whitehall Township 

South Williamsport 

Spangler 

Spring City 

Springdale 

Springettsbury Township 

Springfield Township (Bucks County) 

Springfield Township (Delaware County) . . . 
Springfield Township (Montgomery County) 

Spring Garden Township 

Spring Township (Berks County) 

Spring Township (Centre County) 

State College 

Steelton 

Stoneboro 

Stoneycreek Township 

Stowe Township 

Strasburg 

Stroudsburg 

Stroud Township 

Sugarcreek 

Sugarloaf Township 

Summit Hill 

Sunbury 

Susquehanna 

Susquehanna Township (Cambria County) 
Susquehanna Township (Dauphin County) 

Swarthmore 

Swatara Township 

Swissvale 

Swoyersville 

Sykesville 

Tamaqua 

Tarentum 

Taylor 

Telford 

Temple 

Thombury Township 

Throop 

Tinicum Township (Bucks County) 

Tinicum Township (Delaware County) 

TitusviUe 

Tobyhanna Township 

Topton 

Towamencin Tovraship 

Towanda 



10 
3 

2 
3 
10 
4 
6 
4 
2 
I 
2 
2 
9 
7 
6 

II 
1 

4 
3 

13 
I 
2 
7 
4 
2 

14 
8 
2 
2 

38 
5 
1 
5 
3 

27 
5 

34 

31 

17 

17 
3 

69 

10 
I 
3 

10 
3 

14 

16 
4 
2 
4 

21 
2 
1 

31 
8 

37 

15 
7 
1 

15 

II 
7 
7 
5 
I 

4 
4 

14 

14 

II 
6 

17 

4 



9 
3 
2 
3 

10 
4 
6 
4 
2 
I 
2 
2 
8 
6 
5 

10 
I 

4 
2 
13 
1 
2 
6 
4 
2 

13 
8 
2 
2 

34 
5 
1 
4 
3 

24 
5 

32 

30 

16 

17 
3 

54 
9 
I 
3 

10 
3 

10 

15 
4 
2 
4 

14 
2 
1 

28 
8 

34 

II 
5 
I 

II 
7 
7 
6 
2 
I 

4 
4 

12 

13 

10 
6 

'I 



TrafTord 

Trainer 

Tredyffrin Township 

Troy 

Tullytown 

Tunkhannock 

Tunkhannock Township 

Turtle Creek 

Tyrone 

Union City 

Uniontown 

Union Township (MifTlin Couhty) 

Union Township (Washington County) 

Upland 

Upper Allen Township 

Upper Chichester Township 

Upper Darby Township 

Upper Dublin Township 

Upper Gwynedd Township 

Upper Makefield Township 

Upper Merion Township 

Upper Moreland Township 

Upper Mount Bethel Township 

Upper Nazareth Township 

Upper Pottsgrove 

Upper Providence Township (Delaware 

County) 

Upper Providence Township (Montgomery 

County) 

Upper St. Qair Township 

Upper Saucon Township 

Upper Southhampton Township 

Upper Uwchlan Township 

Upper Yoder Township 

Uwchlan Township 

Valley Township 

Vandergrift 

Vanport Township 

Vernon Township 

Verona 

Versailles 

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 (Norihampton 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 

Weslfall Township 

Westfield 

West Goshen Township 

West Grove 

West Hazleton 

West Hempfield Township 

West Hills Regional 

West Homestead 

West Lampeter Township 

West Manchester Township 



I 

4 
55 
3 
9 
4 
I 

9 
II 
6 
27 
2 
5 
2 

14 

22 

140 

41 

16 

9 

68 

46 

5 

2 

4 

10 

10 
30 
14 

24 

4 

6 
1 

2 

7 

3 

3 

3 

2 

3 
50 
23 
16 

8 
14 
27 

I 
10 

2 

5 
15 

7 

3 

5 

2 

3 

9 
51 

5 

7 

5 

2 

! 

2 

2 
25 

3 

7 
15 

7 

11 

6 

22 



I 

4 

47 

3 

8 

4 

I 

7 

5 

3 

23 

2 

5 

2 

13 

19 

112 

36 

15 

9 

53 

37 

5 

2 

4 

10 

9 
26 
13 
21 

4 

6 
16 

2 

7 

3 

3 

3 

2 

3 
43 
18 
14 

7 
13 
26 

1 

9 

2 

5 
14 

7 

3 

5 

2 

3 

9 
37 

5 

6 

5 

2 

1 

2 

2 
22 

3 

7 
14 

7 

7 

6 

20 



291 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



PENNSYLVANU— Condnued 



RHODE ISLAND— Continued 



West Manheim Township 

West Mayfield 

West Middlesex 

West Mifflin 

West Newton 

West Norriton Township 

West Pittslon 

West Pottsgrove Township 

West Reading 

West RockhiU Township .. 

Westtown Township 

West View 

West Whiteland Township 

West Wyoming 

West York 

Wheatland 

Whitehall 

Whitehall Township 

White Haven 

Whitemarsh Township .... 

White Oak 

Whitpain Township 

Wiconisco Township 

Wilkes-Barre 

Wilkes-Barre Township ... 

Wilkinsburg 

Wilkins Township 

Williamsburg 

Williamsport 

WiUiamstown 

Willistown Township 

Wilmerding 

WUson 

Windber 

Wind Gap 

Windsor Township 

Womelsdorf 

Woodward Township 

Wormleysburg 

Wrightsville 

Wyoming 

Wyomissing 

Wyomissing Hills 

Yardley 

Yeadon 

York 

York Springs - Latimore 

York Township 

Youngsville 

Zelienople 



RHODE ISLAND 



Harrington 

Bristol 

BurrillviUe 

Central Falls ... 

Charleslown 

Coventry 

Cranston 

Cumberland 

East Greenwich 
East Providence 

Foster 

Glocester 

Hopkinton 

Jamestown 

Johnston 

Lincoln 

Little Compton . 

Middletown 

Narragansett 

Newport 

New Shoreham 
North Kingstown 



6 

1 

1 

34 

2 

26 

II 

7 

7 

4 

15 

11 

19 

4 

6 

1 

25 

47 

2 

33 

10 

26 

1 

111 

13 

34 

11 

1 

53 

1 

13 

2 

7 

3 

3 

9 

2 

1 

7 

2 

5 

21 

3 

3 

17 

111 

2 

23 

2 

10 



29 
49 
23 
36 
21 
63 

179 
50 
38 

111 
12 
13 
14 
14 
74 
36 
II 
41 
39 

111 

7 

59 



1 








29 


5 


7 




22 


4 


6 


5 


7 




7 




4 




13 


2 


8 


3 


18 


1 


4 




6 








20 


5 


36 


II 


7 




29 


4 


10 




23 
1 


3 


90 


21 


9 


4 


27 


7 


M 




1 




49 
1 


4 


12 


1 


7 




7 




2 


1 


3 




8 


1 


7 




1 




5 


2 


7 




4 


1 


16 


5 


3 




3 




16 


1 


96 


15 


7 




21 


2 


2 





22 

39 

18 

34 

16 

50 

146 

43 

28 

91 

8 

9 

9 

12 

57 

31 

7 

38 

30 

89 

3 

48 



North Providence 
North Smithfield 

Pawtucket 

Portsmouth 

Providence 

Richmond 

Scituate 

Smithfield 

South Kingstown 

Tiverton 

Warren 

Warwick 

Westerly 

West Greenwich . 
West Warwick ... 
Woonsocket 



SOUTH CAROLINA 



Abbeville 

Aiken 

Allendale 

Anderson 

Andrews 

Aynor 

Bamberg 

Barnwell 

Batesburg 

Beaufort 

Belton 

Bennettsville 

Bethune 

Bishopville . . 
Blacksburg . . . 

Blackville 

Bowman 

Calhoun Falls 

Camden 

Central 

Chapin 

Charleston . . . 

Cheraw 

Chesnee 

Chester 

Chesterfield 

Clerason 

Clinton 

Clover 

Columbia 

Conway 

Darlington ... 

Denmark 

Dillon 

Due West .... 

Duncan 

Easley 

Edgefield 

Edisto Beach 

EUoree 

Estill 

Eutawville 

Fairfax 

Florence 

Folly Beach .. 
Forest Acres . 
Fort Mill .... 
Fountain Inn 

Gaffney 

Gaston 

Georgetown 
Goose Creek 
Gray Court 
Great Falls 
Greenville 
Greenwood 



68 


52 


22 


18 


178 


144 


29 


27 


523 


440 


5 


4 


19 


13 


41 


32 


57 


43 


33 


24 


27 


21 


220 


169 


44 


38 


II 


6 


57 


51 


HI 


102 



18 


14 


101 


80 


12 


7 


86 


64 


15 


II 


5 


2 


8 


7 


11 


10 


14 


10 


35 


32 


20 


15 


23 


21 


2 


2 


18 


14 


10 


6 


5 


4 


2 


2 


7 


6 


29 


23 


5 


5 


2 


2 


353 


253 


25 


20 


6 


6 


22 


20 


6 


5 


28 


22 


27 


25 


14 


10 


278 


226 


40 


32 


29 


21 


7 


7 


22 


17 


4 


4 


4 


3 


32 


26 


12 


7 


2 


2 


5 


5 


12 


5 


3 


2 


5 


5 


90 


73 


13 


8 


33 


25 


17 


12 


17 


12 


31 


24 


2 


1 


39 


36 


37 


27 


2 


2 


8 


7 


196 


162 


66 


53 



292 



Table 72. — Number of Full-tiine Law Enforcement Employees, Cities, October 31, 1990 — Continued 



City 



SOUTH CAROLINA— Contloued 



Greer 

Hampton 

Hanahan 

Hardeeville 

Heath Springs 

Hemingway 

Holly HiU 

Honea Path 

Inman 

Irmo 

Isle of Palms 

Iva 

Jackson 

Johnsonville 

Johnston 

Jonesville 

Kershaw 

Kingstree 

Lake City 

Lakeview 

Lamar 

Lancaster 

Landrum 

Latta 

Laurens 

Leesville 

Lexington 

Liberty 

Loris 

Lyman 

Manning 

Marion 

Mauldin 

McBee 

McCormick 

Moncks Comer 

Mount Pleasant ... 

Mtillins 

Newberry 

New Ellenton 

Ninety Six 

North Augusta 

North Charleston . . 
North Myrtle Beach 

Orangeburg 

Pacolet 

Pacolet Mills 

Pageland 

Pendelton 

Pickens 

Port Royal 

Prosperity 

Ridgeland 

Ridge Spring 

Rock Hill 

St. George 

St. Matthews 

St. Stephens 

Saluda 

Santee 

Seneca 

Simpsonville 

South Congaree 

Spartanburg 

Springdale 

SuUivans Island 

Summerton 

Summerville 

Sumter 

Surfside Beach 

Tega Cay 

TimmonsviUe 

Travelers Rest 

Union 

Vamville 



Total 

police 

employees 



Total 
officers 



39 


30 


9 


8 


26 


20 


12 


8 


2 


2 


7 


4 


10 


6 


15 


11 


4 


4 


16 


15 


25 


17 


5 


4 


4 


4 


8 


4 


9 


6 


6 


4 


11 


6 


20 


15 


25 


20 


6 


6 


3 


3 


42 


34 


9 


9 


10 


6 


25 


24 


8 


8 


12 


11 


13 


7 


4 


4 


6 


5 


14 


13 


26 


20 


31 


25 


2 


1 


6 


5 


21 


16 


63 


50 


18 


14 


26 


22 


4 


4 


9 


5 


57 


45 


187 


134 


67 


49 


51 


40 


2 


2 


16 


12 


6 


6 


10 


9 


14 


12 


4 


4 


6 


5 


3 


3 


97 


78 


5 


5 


5 


5 


5 


5 


8 


8 


6 


4 


28 


21 


29 


20 


3 


3 


152 


132 


7 


7 


7 


7 


9 


5 


39 


36 


93 


66 


12 


9 


12 


7 


8 


5 


23 


19 


37 


27 


3 


3 



Total 
civilians 



20 



City 



SOUTH CAROUNA— Continued 



Wagener 

Walhalla 

Wallerboro 
Ware Shoals 
West Columbia 
Westminster 

Whitmire 

Williamston ... 

Williston 

Winnsboro 

Woodruff 

York 



SOUTH DAKOTA 



Aberdeen 
Belle Fourche 
Beresford ... 

Brandon 

Brookings 

Burke 

Canton 

Chamberlain 
Deadwood . . . 
Eagle Butte .. 

Eureka 

Fort Pierre .. 
Hot Springs 

Huron 

Kadoka 

Lead 

Madison 

McLaughlin . . 

Milbank 

Mitchell 

Mobridge 

Murdo 

Parker 

Parkston 

Pierre 

Rapid City .. 

Selby 

Sioux Falls .. 

Spearfish 

Sturgis 

Vermillion ... 
Watertown . . . 

Winner 

Yankton 



Adamsville . . 

Alcoa 

Algood 

Ardmore 

Ashland City 

Bartlett 

Benton 

Bolivar 

Brentwood 

Bristol 

Brownsville 

Bruceton 

Bulls Gap ... 
CenterviUe .. 
Chattanooga 
Church Hill 
Clarksville .. 
Cleveland ... 
Collegedale 
Collierville . . 
Collinwood 
Columbia . . . 
Cookeville 



Total 

police 

employees 



TENNESSEE 



50 

7 

9 

4 

30 

2 

4 

8 

9 

3 

4 

3 

7 

23 

1 

8 

13 

3 

6 

29 

10 

1 

1 

2 

24 

109 

1 

159 

14 

10 

24 

29 

16 

35 



26 

5 

9 

5 

60 

4 

21 

45 

48 

29 

3 

2 

14 

507 

6 

150 

63 

8 

44 

4 

63 

72 



Total 
officers 



1 
12 
21 

7 
26 

9 

4 
13 

6 
19 
12 
18 



38 

7 

4 

4 

25 

2 
4 
4 
8 
3 
4 
3 
6 

22 
1 
7 

10 
2 
6 

22 
6 
1 
I 
2 

21 

81 

1 

136 

10 
9 

17 

25 



23 



5 
22 

5 

5 

5 
40 

4 
16 
35 
46 
23 

3 

2 

10 

363 

6 

131 

58 

8 
32 

3 
53 
57 



293 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



TENNESSEE— Continued 



CoraersvlUe 

Cowan 

CrossviUe 

Cumberland Gap 

Dandridge 

Dayton 

Dickson 

Dyer 

Dyersburg 

East Ridge 

Ellcton 

Erwin 

Estill Springs 

Etowah 

Fairview 

FayetteviUe 

Franklin 

FriendsviUe 

Gallatin 

Gates 

Gatlinburg 

Germantown 

Gleason 

Goodlettsville . . . . 
Grand Junction 

Greenbrier 

Greeneville 

HaUs 

Harriman 

Hartsville 

Henderson 

HendersonviUe 

Hobenwald 

Hollow Rock .... 

Humboldt 

Huntingdon 

Huntland 

Jackson 

Jasper 

Jefferson City ... 

Jellico 

Johnson City 

Jonesborough 

Kenton 

Kimball 

Kingsport 

Kingston 

Knoxville 

Lafayette 

La FoUette 

Lake City 

La Vergne 

Lawrenceburg 

Lenoir City 

Lexington 

Livingston 

Loretto 

Loudon 

Martin 

Maryville 

Mason 

McKenzie 

McMinnville 

Memphis 

Milan 

Millersville 

Millington 

Minor Hill 

Morristown 

Mount Juliet 

Mount Pleasant 

Murfreesboro 

Nashville 

Newbem 

New Johnsonville 



1 

4 
23 

I 

2 
16 
34 

6 
59 
38 

I 
10 

3 

12 
12 
26 
62 

1 
46 

1 
36 
55 

4 
38 

2 

4 
38 

6 
19 
II 
18 
61 
10 

2 
31 
14 

2 

193 

12 

16 

6 

146 

13 

5 

9 

127 

II 

355 

14 

22 

9 
22 
39 
13 
25 
14 

3 

10 
23 
35 

3 

16 

41 

1,798 

19 

5 
30 

5 
57 
15 
14 
111 
1.294 
13 

4 



I 

4 

19 

I 

2 
12 
26 

6 
45 
32 

1 
10 

2 

8 

7 
22 
50 

1 
36 

1 
27 
43 

4 
28 

2 

4 
37 

6 
19 

9 
13 
45 
10 

2 
25 
10 

2 
143 

8 
12 

5 
123 

9 

5 

5 
90 

8 

296 

11 

17 

9 
16 
28 
13 
21 
12 

3 

10 
18 
32 

3 

12 

33 

1,379 

18 

3 
24 

2 
53 
10 
10 
88 
994 

9 

4 



10 



10 



4 
8 

419 
I 
2 
6 
3 
4 
5 
4 
23 

300 
4 



TENNESSEE— Continued 



Newport 

New Tazewell 

Norris 

Oak Ridge 

Obion 

Oliver Springs 

Pigeon Forge 

Portland 

Pulaski 

Red Bank 

Ripley 

Rockwood 

Rutherford 

Savannah 

Sevierville 

Sewanee 

Sharon 

Shelbyville 

Signal Mountain 

Smyrna 

Soddy-Daisy 

Somerville 

South Carthage 

South Fulton 

Sparta 

Spring City 

Springfield 

Spring Hill 

Tazewell 

Town of Decaturville 

Trenton 

Trimble 

Tullahoma 

Union City 

Waverly 

Westmoreland 

White House 

Winchester 

Woodbury 



TEXAS 



Abemathy 

Abilene 

Addison 

Alamo 

Alamo Heights 

Alice 

Allen 

Alpine 

Alto 

Alvarado 

Alvin