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

BOSTON 

PUBLIC 

LIBRARY 




Department of Justice 

al Bureau of Investigation 



GOV D0(J 




Filiform Crime Reports 



Release Date 
Saturday 
July 25, 1987 



86 

86 
86 

86 
86 



OF DOCUMENTS 



il JUL 171987 



Crime 
in the 
United 
States 






oooooooooooooooooooooooooooooooooooooooooooo 



OTHER UNIFORM CRIME REPORTING PUBLICATIONS: 

Bomb Summary (published annually) 

Law Enforcement Officers Killed and Assaulted (published annually) 



UNIFORM 
CRIME 

REPORTS 

for the United States 



SUMMARY 



] 



CRIME INDEX 



] 



PRINTED ANNUALLY— 1986 by: 

Federal Bureau of Investigation 

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



CRIMES CLEARED 



] 



PERSONS ARRESTED 



1 



Advisory: Committee on Uniform Crime Records 
International Association of Chiefs of Police; 
Committee on Uniform Crime Reporting 
National Sheriffs' Association 



] 



LAW ENFORCEMENT PERSONNEL 



APPENDICES 



1 



For sale by Ihc Superintendent of Documents, U.S. Government Printing Office, Washingtc 



FOREWORD 

"Thus at the start we are compelled to recognize that crime statistics must 
originate with the police and that without police support there can be no 
crime statistics." 
These words were written by the Committee on Uniform Crime Records, 
International Association of Chiefs of Police, in their 1929 publication entitled 
Uniform Crime Reporting. From that book came the beginning of the Uniform 
Crime Reporting (UCR) Program as we know it today, a Program that has 
endured solely through the collective efforts and diligence of our Nation's law 
enforcement community. Borne of law enforcement to guide everyday 
operations and management, the UCR Program for over 57 years has supplied 
the American public a reliable measure of lawlessness in our society. 

The FBI was mandated by Congress in 1930 to act as an administrator of 
UCR. Central to the FBI's involvement has been an adherence to the spirit and 
intent of the original UCR Committee in both acknowledging the value of crime 
statistics and in applying the concept of uniformity of reporting to reconcile 
differences in state criminal codes. Throughout the years, the FBI has stressed that 
UCR is a program founded by law enforcement, voluntarily supported by law 
enforcement, and perhaps more importantly, to be used by law enforcement in our 
vital mission. 

With the legacy of the Uniform Crime Records Committee, the FBI in 
partnership with its law enforcement colleagues is initiating a new era in crime 
reporting. After several years of review and study, a "Blueprint for the Future of 
the Uniform Crime Reporting Program" has been developed. The enhanced 
system as designed in the "Blueprint" provides for the reporting of all data relative 
to each criminal incident and arrest rather than summarizing data, as is the rule 
under the present Program. Key to the redesign is that the detail being sought is 
already in the records of law enforcement. Success depends not on an expansion of 
law enforcement records, but on harnessing the wealth of information already 
maintained. 

The UCR Program in the State of South Carolina is currently at work 
developing a prototype for an enhanced UCR system based on the "Blueprint." 
As participation has been since the Program began, implementation of the 
redesigned Program will be voluntary. Without interruption in submissions 
under the present system, agencies can implement the enhanced Program at 
their own pace in accordance with fiscal and technical capabilities. 

To ensure the best possible use of the data produced by the enhanced 
Program, the FBI intends an even closer working relationship with data 
contributors than in the past. It is anticipated that this new, incident-based 
system will add enormous flexibility to UCR, as well as improve statistical 
accuracy and usefulness. The enhanced Program should provide law 
enforcement administrators at all levels of government the data they require to 
better address the challenges produced by an ever-present crime problem. 



CRIME FACTORS 

The presence of crime in our Nation is a matter of serious concern not only 
to the law enforcement profession, but to society at large. Historically, the 
causes and origins of crime have been the subjects of investigation by varied 
disciplines. Many factors affecting the volume and type of crime occurring from 
place to place have been delineated. Some of these are as follows: 

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 

ection I- Summary of the Uniform Crime Reporting Program 1-5 

ection H-Crime Index Offenses Reported 6-153 

Jarrative comments: 

Murder and nonnegligent manslaughter 7-12 

Forcible rape 13-15 

Robbery 16-20 

Aggravated assault 21-23 

Burglary 24-27 

Larceny-theft 28-32 

Motor vehicle theft 33-35 

Arson 36-39 

Crime Index tabulations 40-4 1 

!harts: 

Crime clock, 1986 6 

Murder, monthly variation from annual average 8 

Murder, 1982-1986 8 

Forcible rape, monthly variation from annual average 14 

Forcible rape, 1982-1986 14 

Robbery, monthly variation from annual average 17 

Robbery, 1982-1986 17 

Robbery analysis, 1982-1986 19 

Aggravated assault, monthly variation from annual average 22 

Aggravated assault, 1982-1986 22 

Burglary, monthly variation from annual average 25 

Burglary, 1982-1986 25 

Burglary analysis, 1982-1986 26 

Larceny-theft, monthly variation from annual average 29 

Larceny-theft, 1982-1986 29 

Larceny analysis, 1982-1986 30 

Larceny analysis, 1986 31 

Motor vehicle theft, monthly variation from annual average 34 

Motor vehicle theft, 1982-1986 34 

Crime Index total, 1982-1986 43 

ables: 

Murder: 

By month, percent of annual total, 1982-1986 8 

Age, sex, race, and ethnic origin of victims, 1986 9 

Victim/offender relationship by race, sex, and ethnic origin, 1986 9 

Type of weapons used, 1986 10 

Victims, type of weapons used, 1982-1986 10 

Victims — weapons used, 1986 10 

Circumstances by relationship, 1986 11 

Circumstances by weapon, 1986 11 

Circumstances, 1982-1986 12 

Forcible rape, by month, percent of annual total, 1982-1986 14 

Robbery: 

By month, percent of annual total, 1982-1986 17 

Percent distribution, region, 1986 18 

Percent distribution, population group, 1986 18 

Type of weapons used, 1986 18 



Pag< 

Tables — continued 

Aggravated assault: 

By month, percent of annual total, 1982-1986 22 

Type of weapons used, 1986 22 

Burglary, by month, percent of annual total, 1982-1986 2'. 

Larceny-theft: 

By month, percent of annual total, 1982-1986 2< 

Analysis by region, 1986 32 

Motor vehicle theft: 

By month, percent of annual total, 1982-1986 34 

Analysis by region, 1986 3f 

Arson, 1986: 

Rate, population group 3" 

Type of property 3" 

Structures not in use 3 i 

Property damage 3f 

Offenses cleared by arrest 3S 

Offenses cleared by arrest of persons under 1 8 years of age 3< 

Index of crime: 

United States, 1977-1986 41 

United States, 1986 42 

Regional offense and population distribution, 1986 42 

Region, geographic division, and state, 1985-1986 44-51 

State, 1986 52-62 

Number of offenses known to the police, 1986: 

Cities and towns 10,000 and over in population 63-1K 

Universities and colleges 111-11} 

Suburban counties 1 19-132 

Rural counties 25,000 and over in population 133-14C 

Crime trends, offenses known to the police, 1985-1986: 

Population group 141-14; 

Suburban and nonsuburban cities, population group 14! 

Suburban and nonsuburban counties, population group 14* 

Offense breakdown, population group 145-14* 

Crime rates, offenses known to the police, 1986: 

Population group 147-141 

Suburban and nonsuburban cities, population group 14' 

Suburban and nonsuburban counties, population group 1 5( 

Offense breakdown, population group 151-15; 

Offense analysis, 1986, and percent change from 1985 15! 

Type and value of property stolen and recovered, 1986 15i 

Section Ill-Crime Index Offenses Cleared 154-16; 

Narrative comments 15' 

Chart: 

Crimes cleared by arrest, 1986 15! 

Tables: 

Percent of offenses cleared by arrest, region, 1986 15' 

Offenses known and percent cleared by arrest, 1986: 

Population group 156-15" 

Geographic division 1 5i 

Offense breakdown, population group 159-16( 

Offenses cleared by arrest of persons under 18 years of age, 1986 161-162 



Page 

ection IV- Persons Arrested 163-240 

farrative comments 1 63- 1 64 

ables: 

Arrests for drug abuse violations, 1986 163 

Total estimated arrests, United States, 1986 164 

Arrests, number and rate, 1986: 

Region 1 65 

Population group 166- 1 67 

Total arrest trends: 

1977-1986 168 

Sex, 1977-1986 169 

1982-1986 170 

Sex, 1982-1986 171 

1985-1986 172 

Sex, 1985-1986 173 

Total arrests, 1986: 

Distribution by age 174-175 

Male arrests, distribution by age 176-177 

Female arrests, distribution by age 178-179 

Of persons under 15, 18, 21, and 25 years of age 180 

Distribution by sex 181 

Distribution by race 1 82- 1 84 

Distribution by ethnic origin 185-187 

City arrest trends: 

1985-1986 188 

Sex, 1985-1986 189 

City arrests, 1986: 

Distribution by age 190-191 

Of persons under 15, 18, 21, and 25 years of age 192 

Distribution by sex 193 

Distribution by race 194- 1 96 

Distribution by ethnic origin 197-199 

Suburban county arrest trends: 

1985-1986 200 

Sex, 1985-1986 201 

Suburban county arrests, 1986: 

Distribution by age 202-203 

Of persons under 15, 18, 21, and 25 years of age 204 

Distribution by sex 205 

Distribution by race 206-208 

Distribution by ethnic origin 209-2 1 1 

Rural county arrest trends: 

1985-1986 212 

Sex, 1985-1986 213 

Rural county arrests, 1986: 

Distribution by age 214-215 

Of persons under 15, 18, 21, and 25 years of age 216 

Distribution by sex 217 

Distribution by race 21 8-220 

Distribution by ethnic origin 221-223 

Suburban area arrest trends: 

1985-1986 224 

Sex, 1985-1986 225 



Pag 
Tables — continued 

Suburban area arrests, 1986: 

Distribution by age 226-22' 

Of persons under 15, 18, 21, and 25 years of age 221 

Distribution by sex 22 ( 

Distribution by race 230-23! 

Distribution by ethnic origin 233-23: 

Arrests by state, Crime Index offenses, 1986 236-23' 

Police disposition of juvenile offenders taken into custody, 1986 24( 

Law Enforcement Code of Ethics 24 

Section V-Law Enforcement Personnel 242-321 

Narrative comments 242-24: 

Tables: 

Full-time law enforcement employees, October 31, 1986: 

Employees, rate per 1,000 inhabitants, region 24: 

Officers, rate per 1,000 inhabitants, region 24: 

Employees, number and rate per 1,000 inhabitants, geographic division and population group 24< 

Officers, number and rate per 1,000 inhabitants, geographic division and population group 24: 

Employees, range in rate per 1,000 inhabitants 24< 

Officers, range in rate per 1 ,000 inhabitants 24' 

Employees, percent male and female 24: 

Civilian employees, percent of total, population group 24: 

State agencies 24' 

Cities 250-30 

Universities and colleges 309-3 1 

Suburban counties 313-31 

Rural counties 31 7-32 

Section VI- Appendices 327-37 

Appendix I- Table methodology 327-33 1 

Appendix II- Offenses in Uniform Crime Reporting 331-33 

Appendix III- Uniform Crime Reporting area definitions 333-33 

Appendix IV- Index of Crime, Metropolitan Statistical Areas, 1986 335-36 

Appendix V- Directory of Uniform Crime Reporting Programs 364-36 

Appendix VI- Criminal involvement of murder arrestees 369-37 



SECTION I 

SUMMARY OF THE UNIFORM CRIME REPORTING 

PROGRAM 



The Uniform Crime Reporting (UCR) Program provides 
i nationwide view of crime based on the cooperative efforts 
)f over 16,000 city, county, and state law enforcement 
igencies voluntarily reporting data on crimes brought to 
heir attention. Since 1930, the FBI has served as a national 
;learinghouse for the data produced by the Program, and 
hroughout the years, has issued periodic assessments of the 
lature and type of crime in the Nation. The Program's 
jrimary objective is to generate a reliable set of criminal 
itatistics for use in law enforcement administration, 
)peration, and management. Its data have over the years, 
lowever, become one of the leading social indicators in the 
:ountry. The American public looks to UCR for 
nformation on fluctuations in the level of crime, while 
:riminologists, sociologists, legislators, municipal planners, 
he press, and other students of criminal justice use the 
itatistics for varied research and planning purposes. 

Historical Background 

Recognizing a need for national crime statistics, the 
[nternational Association of Chiefs of Police (I ACP) formed 
he Committee on Uniform Crime Records in the 1920s to 
develop a system of uniform police statistics. Since offenses 
cnown to law enforcement were the most readily available 
:rime information, the Committee concluded that a survey 
)f local agencies to obtain data on crimes brought to their 
ittention was the appropriate manner by which to collect 
:he data. Realizing that not all crimes are reported to the 
solice, the Committee evaluated various offenses on the 
jasis of their seriousness, frequency of occurrence, 
pervasiveness in all geographic areas of the country, and 
likelihood of being reported to law enforcement. After 
studying state criminal codes and making an evaluation of 
the recordkeeping practices in use, the Committee in 1929 
;ompleted 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 jointly as the Crime Index, these offenses included 
the violent crimes of murder and nonnegligent 
manslaughter, forcible rape, robbery, and aggravated assault 
and the property crimes of burglary, larceny-theft, and 
motor vehicle theft. By congressional mandate, arson was 
added as the eighth Index offense in 1979. 

During the early planning of the Program, it was 
recognized that the differences among criminal codes 
precluded a mere aggregation of state statistics to arrive at a 
national total. Further, because of the variances in 
punishment for the same offenses in different state codes, no 



distinction between felony and misdemeanor crimes was 
possible. To avoid these problems and provide nationwide 
uniformity in crime reporting, standardized offense 
definitions by which law enforcement agencies were to 
submit data, without regard for local statutes, were 
formulated. The definitions used by the Program are set 
forth in Appendix II of this publication. 

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

For over 55 years, the Program has remained virtually 
unchanged in terms of the data collected and disseminated. 
Evaluations of the Program were suggested on occasion, and 
one study was conducted in 1958. By the 1980s, a broad 
utility had evolved for UCR, and law enforcement called for 
a thorough evaluative study that would improve the UCR 
Program to meet the expanded capabilities of law 
enforcement to supply crime-related information. The 
Bureau of Justice Statistics (BJS), recognizing its role in the 
wide spectrum of national criminal justice statistics, agreed 
to underwrite a comprehensive UCR Program study and 
redesign effort comprised of three phases. To be conducted 
by an independent contractor, the first two phases were 
structured to determine what, if any, changes should be 
made to the current Program. The third phase would 
involve implementation of the changes identified. Abt 
Associates Inc. of Cambridge, Massachusetts, overseen by 
the FBI, BJS, and a Steering Committee comprised of 
prestigious individuals representing a myriad of disciplines, 
commenced the first of the three phases 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 alternative potential futures for 
UCR and conclude with a set of recommended changes. 
Attendees at this conference reviewed work conducted 



during the first phase and discussed the potential changes 
that should be considered during phase two. Overlapping 
phases one and two was a survey of law enforcement 
agencies. 

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

In April, 1985, the phase two recommendations were 
presented at the eighth National UCR Conference. While 
various considerations for the final report were set forth, the 
overall concept for the revised Program was unanimously 
approved. The joint IACP/National Sheriffs' Association 
(NSA) Committee on UCR also issued a resolution 
endorsing the Blueprint. 

The final report, the "Blueprint for the Future of the 
Uniform Crime Reporting Program," was released in the 
summer of 1985. It specifically outlines recommendations 
for an expanded, improved UCR Program to meet 
informational needs into the next century. With the first two 
phases now complete, the third and final phase will consist 
of implementing the adopted improvements. As 
implementation progresses, the amount of information 
available will greatly increase, and UCR can better serve its 
large and varied audience. 

Advisory Groups 

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

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

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 
intermediaries between the FBI and its local contributors. 
Many of the 41 state Programs have mandatory reporting 
requirements and collect data beyond the national UCR 
scope to address crime problems germane to their particular 
locales. In most cases, these agencies are also able to provide 
more direct and frequent service to participating law 
enforcement agencies, to make information more readily 
available for use at the state level, and to contribute to more 
streamlined operations at the national level. 

With the development of a state UCR Program, the FBI 
ceases direct collection of data from individual law 
enforcement agencies within the state. Instead, information 
from local agencies is forwarded to the national Program 
through the state data collection agency. 

The conditions under which these systems are developed 
ensure consistency and comparability in the data submitted 
to the national Program, as well as provide for regular and 
timely reporting of national crime data. These conditions 
are: (1) The state Program must conform to national 
Uniform Crime Reports' standards, definitions, and 
information requirements. The states are not, of course, 
prohibited from collecting other statistical data beyond the 
national requirements. (2) The state criminal justice agency 
must have a proven, effective, statewide Program and have 
instituted acceptable quality control procedures. (3) 
Coverage within the state by a state agency must be, at least, 
equal to that attained by the national Uniform Crime 
Reports. (4) The state agency must have adequate field staff 
assigned to conduct audits and to assist contributing 
agencies in record practices and crime reporting procedures. 
(5) The state agency must furnish to the FBI all of the 
detailed data regularly collected by the FBI in the form of 
duplicate returns, computer printouts, and/or magnetic 
tapes. (6) The state agency must have the proven capability 
(tested over a period of time) to supply all the statistical 
data required in time to meet national Uniform Crime 
Reports' publication deadlines. 

To fulfill its responsibilities in connection with the UCR 
Program, the FBI continues to edit and review individual 
agency reports for both completeness and quality; has direct 
contact with individual contributors within the state when 
necessary in connection with crime reporting matters, 
coordinating such contact with the state agency; and upon 
request, conducts training programs within the state on law 
enforcement records and crime reporting procedures. 
Should circumstances develop whereby the state agency 
does not comply with the aforementioned requirements, the 
national Program may reinstitute a direct collection of 
Uniform Crime Reports from law enforcement agencies 
within the state. 



teporting Procedures 

Based on records of all reports of crime received from 
ictims, officers who discover infractions, or other sources, 
iw enforcement agencies across the country tabulate the 
umber of Crime Index or Part I offenses brought to their 
ttention during each month. Specifically, the crimes 
sported to the FBI are murder and nonnegligent 
lanslaughter, forcible rape, robbery, aggravated assault, 
urglary, larceny-theft, motor vehicle theft, and arson. 

Whenever complaints of crime are determined through 
westigation to be unfounded or false, they are eliminated 
•om an agency's count. The number of "actual offenses 
nown" is reported to the FBI regardless of whether anyone 
i arrested for the crime, stolen property is recovered, or 
rosecution is undertaken. 

Another integral part of the monthly submission is the 
)tal number of actual Crime Index offenses cleared. Crimes 
re "cleared" in one of two ways: (1) at least one person is 
rrested, charged, and turned over to the court for 
rosecution; or (2) by exceptional means when some 
lement beyond police control precludes the arrest of an 
ffender. Law enforcement agencies also report the number 
f Index crime clearances which involve only offenders 
nder the age of 18; the value of property stolen and 
^covered in connection with the offenses; and detailed 
lformation pertaining to criminal homicide and arson. 

In addition to its primary collection on Crime Index (Part 
) offenses, the UCR Program solicits monthly data on 
ersons arrested for all crimes except traffic violations. The 
ge, sex, race, and ethnic origin of arrestees are reported by 
rime category, both Part I and Part II. Part II offenses 
lclude all crimes not classified as Part I. 

Various data on law enforcement officers killed or 
ssaulted are collected on a monthly basis. The number of 
all-time sworn and civilian personnel are reported 
nnually, as of October 31. 

Iditing Procedures 

Each report submitted to the UCR Program is 
loroughly examined for arithmetical accuracy and for 
eviations which may indicate errors. To identify any 
nusual fluctuations in an agency's crime counts, monthly 
sports are compared with previous submissions of the 
gency and with those for similar agencies. Large variations 
l crime levels may indicate modified records procedures, 
icomplete reporting, or changes in the jurisdiction's 
eopolitical structure. 

Data reliability is a high priority of the Program and 
oted deviations or arithmetical adjustments are brought to 
tie attention of the state UCR Program or the submitting 
gency through correspondence. A standard procedure of 
he FBI is to study the monthly reports and to evaluate 
ieriodic trends prepared for individual reporting units. Any 



significant increase or decrease is made the subject of a 
special inquiry. When it is found that changes in crime 
reporting procedures or annexations are influencing the 
level of crime, the figures for specific crime categories, or if 
necessary, totals are excluded from trend tabulations. 

To assist contributors in complying with UCR standards, 
the national Program provides training seminars and 
instructional materials in crime reporting procedures. 
Throughout the country, liaison with state Programs and 
law enforcement personnel is maintained, and training 
sessions are held to explain the purpose of the Program, the 
rules of uniform classification and scoring, and the methods 
of assembling the information for reporting. When an 
individual agency has specific problems in compiling its 
crime statistics and remedial efforts are unsuccessful, FBI 
Headquarters' personnel may visit the contributor to aid in 
resolving the difficulties. 

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

To enhance communication among Program participants, 
the UCR "Newsletter" and State UCR Program "Bulletin" 
are utilized to address Program policy, as well as to present 
information and instructional material. These 
communications are produced as needed. 

The final responsibility for data submissions rests with the 
individual contributing law enforcement agency. Although 
the Program makes every effort through its editing 
procedures, training practices, and correspondence to assure 
the validity of the data it receives, the statistics' accuracy 
depends primarily on the adherence of each contributor to 
the established standards of reporting. Deviations from 
these established standards which cannot be resolved by the 
national UCR Program may be brought to the attention of 
the Committee on Uniform Crime Records of the IACP or 
the Committee on Uniform Crime Reporting of the NSA. 

Reporting Area 

The presentation of statistics by reporting area facilitates 
analyzing local crime counts in conjunction with those for 
areas of similar geographical location or population size. 
Geographically, the United States is divisible by regions, 
divisions, and states. As discussed in Appendix III, further 
breakdowns rely on population figures and proximity to 
metropolitan areas. 

A Metropolitan Statistical Area (MSA) is an integrated 
economic and social unit with a recognized large population 
nucleus. Each has a central city of at least 50,000 population 
or an urbanized area of at least 50,000. The county 
containing the central city, as well as contiguous counties 
which meet specified criteria of metropolitan character and 



integration (designated suburban counties in UCR) is also 
included. Due to changes in the geographic compositions of 
MSAs, no year-to-year comparisons of data for those areas 
should be attempted. 

Rural counties and "other cities," most of which are 
incorporated, are outside MSAs. As a general rule, sheriffs, 
county police, and state police report crimes committed 
within the limits of the counties but outside cities, while 
local police report crimes committed within the city limits. 

Certain tables within this publication present statistics 
relative to "suburban" areas. A suburban area consists of 
cities with fewer than 50,000 inhabitants together with 
counties which are within an MSA. In this context, the 
central city is, of course, excluded. The concept of suburban 
area is especially important in a study of this nature because 
of the particular crime conditions which exist in the 
communities surrounding the Nation's largest cities. 

During 1986, law enforcement agencies active in the UCR 
Program represented approximately 233 million United 
States inhabitants, or 96 percent of the total population as 
established by the Bureau of the Census. The coverage 
amounted to 98 percent of the United States population 
living in MSAs, 94 percent of the population in "other 
cities," and 89 percent of the rural population. 

Although most law enforcement agencies submit crime 
reports to the UCR Program, data are sometimes not 
received for complete annual periods. To be included in this 
publication's Tables 6, 7, 8, and 9, showing specific 
jurisdictional statistics, figures for all 12 months of the 
current year must have been received at the FBI prior to 
established publication deadlines. Other tabular 
presentations are aggregated as set forth in Appendix I. 
Unless consisting of estimates for the total population, each 
table in this publication shows the number of agencies 
reporting and the extent of population coverage. 

Population Data 

Current year population figures for the Nation, states, 
geographic regions, and divisions are Bureau of the Census 
provisional estimates as of July 1, 1986. Using these figures 
along with the 1984 Bureau of the Census provisional 
estimates for all cities and counties, the populations of 
individual jurisdictions were extrapolated (see Appendix 
III). The estimated United States population increase in 
1986 was approximately 1 percent over the 1985 estimate. 

Offense Estimation 

Tables 1 through 5 of this publication contain statistics 
for the entire United States. Because not all law enforcement 
agencies provide data for complete reporting periods, 
estimated crime counts are included in these presentations. 
Offense estimation occurs within each of three areas: 
Metropolitan Statistical Areas, "other cities," and rural 
counties. Using the known crime experiences of similar 



areas within a state, the estimates are computed by assigning 
the same proportional crime volumes to nonreporting 
agencies. 

Unique estimation procedures were used to produce 
estimated 1985 and 1986 forcible rape figures for the State 
of Illinois. In mid- 1984, gender-neutral sex offense 
legislation was passed in that state. As a result, forcible rape 
figures furnished subsequently for most local law 
enforcement agencies by the state-level UCR Program 
administered by the Illinois Department of State Police were 
not in accordance with national UCR guidelines. Since the 
data supplied were not comparable with those provided for 
other agencies across the country, the 1985 and 1986 
forcible rape figures for most Illinois cities and counties 
have been replaced with estimates using the national rates 
and ratios of forcible rapes versus the total crimes of 
violence. Forcible rape totals for affected agencies are not 
shown in Tables 6, 7, 8, and 9 which present individual city, 
county, and university/college data. 
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 figures 
from a reporting agency are not received for comparable 
time frames or when it is ascertained that unusual 
fluctuations are due to such variables as improved records 
procedures, annexations, etc. 

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

Recent Developments 

REDESIGN OF UCR— Guidelines and procedures for 
the implementation of the "Blueprint for the Future of the 
Uniform Crime Reporting Program" are currently being 
tested by the state-level UCR Program operated by the 
South Carolina Law Enforcement Division. It is expected 
that testing will be completed by October of 1987. The 
remainder of the year will be spent refining the 
implementation guidelines, not only through internal study 
at the FBI, but in response to input from the Uniform 
Crime Records Committee of the International Association 
of Chiefs of Police (IACP), the UCR Committee of the 
National Sheriffs' Association (NSA), the state UCR 
Programs, and individual law enforcement agencies. The 
guidelines for the enhanced UCR Program should be ready 
for nationwide distribution in early 1988. 

As structured at this time, the enhanced program will 
collect data on each single incident and arrest within 
approximately 25 crime categories, as opposed to the 



urrent monthly summary reporting of eight offenses, 
icluded in the submissions will be victim and offender 
haracteristics, use of force, type of location, etc. A wealth 
f criminal justice information never before available will be 
roduced, while the integrity of UCR's long-running 
:atistical series will be maintained. 

SPECIAL ARSON PROGRAM— In 1982, the FBI was 
Dngressionally mandated to develop, prepare, and publish, 
i cooperation with the National Fire Data Center, a special 
atistical report regarding the crime of arson. In January, 
987, in order to fulfill this mandate, a Special Arson 
.eporting System was initiated to augment UCR's 
Dllection on arson as a Crime Index offense. This system 
as designed to collect, on an incident-by-incident basis, 
tore extensive data concerning the offense of arson, as well 
> valuable information on the arsonist. 

The system is geared mainly toward fire fighting agencies, 
ut in situations where those agencies lack investigative 
owers, the reporting responsibility is referred to the 
ppropriate police department or sheriffs office. The 
Election instrument employed by this reporting system is 
le Arson Incident Report form. Throughout its design 
rocess, the foremost concern was to capture information 
ansistent with data users' informational needs. Officials of 
le fire services and law enforcement communities, 
:presentatives of the U.S. Fire Administration, and FBI 
ersonnel familiar with precollection research and data 
Dllection concepts were involved in the design process and 
ave expressed their approval of the end product. 



Reporting supplies have been forwarded to the State Fire 
Marshals or directly to each individual fire fighting agency 
according to the wishes of the appropriate State Fire 
Marshal. Data submission is underway and preliminary 
indications of participation are favorable. 

LAW ENFORCEMENT OFFICERS KILLED AND 
ASSAULTED — In connection with its Law Enforcement 
Officers Killed and Assaulted Program, the national UCR 
staff has begun a special statistical effort to study officer 
homicides in much greater detail than ever before. With the 
assistance of the FBI's Behavioral Science Unit and an 
outside consultant, the staff has developed a protocol from 
which to interview offenders convicted of having killed law 
enforcement officers. The main objective of the interviews is 
to identify any measures the officers could have taken or 
avoided that would have saved their lives. An attempt is also 
being made to identify danger signals that may have been 
exhibited by the perpetrator. The protocol has been tested 
and interviews are being conducted. When complete, the 
project's data should lend new insight to officer survival 
training programs. 

ETHNIC ORIGIN— The Office of Management and 
Budget (OMB) no longer authorizes the FBI to collect 
ethnic origin data regarding persons arrested. OMB noted 
that Circular A-46 previously citing the need for these data 
had expired. The Uniform Crime Reporting Program has 
discontinued its collection of ethnic origin data for persons 
arrested beginning with the 1987 reporting year and is 
presenting its final national figures in this edition of "Crime 
in the United States." 




CRIME CLOCK 
1986 



one 
VIOLENT CRIME 
every 21 seconds 



< 



one 

CRIME INDEX OFFENSE <^ 
every 2 seconds 



VJIIC J 

PROPERTY CRIME <[ 
every 3 seconds 



one 

MURDER 

every 25 minutes 

one 
FORCIBLE RAPE 
every 6 minutes 



one 

ROBBERY 

every 58 seconds 



one 

AGGRAVATED ASSAULT 

every 38 seconds 



one 

BURGLARY 

every 10 seconds 



one 
LARCENY-THEFT 
every 4 seconds 



one 

MOTOR VEHICLE THEFT 

every 26 seconds 



The crime clock should be viewed with care. Being the most aggregate representation 
of UCR data, it is designed to convey the annual reported crime experience by showing 
the relative frequency of occurrence of the Index Offenses. This mode of display should 
not be taken to imply a regularity in the commission of the Part I Offenses; rather, it 
represents the annual ratio of crime to fixed time intervals. 



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. 





TRFMn 








Rate per 100.000 


Year 


Number of offenses 


inhabitants 


1985 


18,976 


7.9 


1986 


20,613 


8.6 


Percent change 


+ 8.6 


+ 8.9 



Volume 

There were an estimated 20,613 murders in the United 
States during 1986, representing 1 percent of the violent 
crimes committed. More of these offenses occurred during 
July and August, while the lowest number of incidents was 
recorded in February. 

















- 


MURDBR BY MONTH 




WHl From Ar,mM *»«.,. 












/" 








z 


/ 








' 


■*> — y 






AN. FEB. M«n. APH. MAT 


JUNE JUL 


>UQ 


SEPT 


OCT. NOV. DEC. 



The accompanying chart reveals a 2-percent decrease 
nationally in the murder counts from 1982 to 1986. The 10- 
year trend, however, showed the 1986 total 8 percent above 
the 1977 level. 



MURDER 

NUMBER OF OFFENSES KNOWN DOWN 2% 

RATE PER 100,000 INHABITANTS DOWN 5% 
















— "ZZZ- 



















Murder by Month, 1982-198 

[Percent of annual total] 


S 








Months 


1982 


1983 


1984 


1985 


1986 


January 


8.3 
7.5 
8.1 
7.9 
8.8 
8.4 
8.8 
8.8 

8.2 
7.5 
9.0 


8.4 
7.6 
8.4 
8.0 
8.3 
7.6 
8.9 
8.9 
8.7 
8.4 
7.8 
9.0 


8.3 
7.5 
8.1 
7.9 
8.0 
7.8 
8.6 
8.8 
8.7 
8.8 
8.6 
9.0 


8.1 
7.9 
8.1 
7.6 
7.6 
8.2 
9.3 
9.1 
8.1 
8.4 
8.2 






7.0 
















8.3 






September 

October 


9.1 
8.3 











When viewing the four regions of the Nation, the 
Southern States, the most populous, accounted for 42 
percent of the murders. The Western States reported 22 
percent; the Midwestern States, 19 percent; and the 
Northeastern States, 17 percent. 
Trend 

The number of murders in the United States increased by 
9 percent in 1986 as compared to the 1985 total. The 
Nation's cities overall experienced an increase of 1 2 percent, 
with upward trends recorded in all city groups. The 
increases ranged from 19 percent in cities with populations 
from 250,000 to 499,999 to 5 percent in those under 10,000 
inhabitants. Suburban counties recorded a 2-percent rise, 
while the rural counties (the only area to show a decrease) 
registered a 4-percent decline. 

Geographically, all regions recorded increases in the 
number of murder incidents for the 2-year period. The 
Northeast and West each showed upswings of 11 percent, 
and the South and Midwest both registered rises of 7 
percent. 



Rate 

An average of 9 of every 100,000 United States 
inhabitants were murder victims during 1986. On a regional 
basis, the Southern States averaged 11 murders per 100,000 
people; the Western States, 9 per 100,000; and both the 
Northeastern and Midwestern States, 7 per 100,000. Rate 
increases were seen in all regions, 1985 versus 1986. The 
murder rate in the Northeast was up 1 1 percent and in the 
West, 8 percent. The Midwest and the South each recorded 
increases of 6 percent. 

The Nation's metropolitan areas reported a murder rate 
of 10 victims per 100,000 inhabitants. The rural counties, as 
well as cities outside suburban areas, registered a lower rate 
of 5 per 100,000. Compared to the previous year's rate, the 
1986 National Murder rate increased 9 percent. 

Nature 

Supplemental data provided by contributing agencies 
recorded information for 19,257 of the estimated 20,613 
murders in 1986. Submitted monthly, the data consist of the 
age, sex, race, and ethnic origin 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, 75 percent of the murder 
victims in 1986 were males; and 91 percent were persons 18 
years of age or older. Forty-nine percent were aged 20 
through 34 years. Considering victims for whom race was 
known, an average of 53 of every 100 were white, 44 were 
black, and the remainder were persons of other races. 
Eighteen percent of the victims for whom ethnicity was 
reported were Hispanic. 



ge, Sex, Race, and Ethnic Origin of Murder Victims, 1986 





Total 


Sex 


Race 


Ethnic Origin 


Age 


Male 


Female 


Unknown 


White 


Black 


Other 


Unknown 


H,span,c 


Non- 
Hispanic 


Unknown 


Dial 


19,257 
100.0 


14.455 
75.1 


4.774 
24.8 


28 
.1 


10,199 
53.0 


8.509 
44.2 


452 
2.3 


97 
.5 


2,841 
14.8 


12.868 
66.8 




rcent distribution 


18.4 


nder 18' 
and over 1 


1.599 
17.204 


13.115 


599 
4,087 


1 
2 


830 
9,109 


721 
7.655 


41 
404 


7 
36 


208 

2,542 


1.097 
11.571 


294 
3,091 


fant {under 1) 

to 9 


262 

382 

124 

199 

1.517 

3,166 

3.376 

2,647 

1,980 

1.335 

911 

714 

582 

458 

386 

290 

474 

454 


140 
220 

107 

1.154 

2,458 

2,622 

2,091 

1,521 

1,030 

711 

548 

457 

328 

258 

175 

233 

341 


121 
162 
63 
92 
363 
707 
754 
556 
459 
304 
200 
166 
125 
130 
128 
115 
241 


1 

1 

1 


148 

187 

58 

129 

744 

1,551 

1,575 

1,348 

1,042 

781 

537 

399 

371 

298 

224 

208 

339 

260 


106 
181 
57 
67 
742 
1,527 
1,718 
1,230 
879 
519 
346 
292 
197 
153 
155 
79 
128 
133 


3 
13 

3 
26 
84 
75 
62 
58 
30 
26 
21 
13 

7 

2 
7 
7 


5 

1 

5 
4 
8 
7 

5 
2 
2 

54 


28 
34 
12 
27 
282 
566 
542 
441 
306 
203 
116 
66 
53 
33 
15 
13 
13 


193 

273 

85 

135 

970 

2,042 

2,251 

1.758 

1,330 

887 

637 

499 

412 

341 

280 

216 

359 

200 


41 

75 
27 






to 24 
to 29 
to 34 


558 
583 
448 






to 49 


158 


















nknown 


25 


102 
163 



'Does not include unknown ages 



Data based on incidents involving one victim and one 
fTender showed that in 1986, 95 percent of the black 
nirder victims were slain by black offenders, and 88 
srcent of the white murder victims were killed by white 
ffenders. 



Likewise, males were most often slain by males (83 
percent in single victim/single offender situations). These 
same data showed, however, that 9 of every 10 female 
victims were murdered by males. 



ictim/Offender Relationship by Race, Sex, and Ethnic Origin, 1986 

ingle victim/single offender] 





Total 
victims/ 
offenders 


Offender 


Victim 


Race 


Sex 


Ethnic Origin 




White 


Black 


Other 


Unknown 


Male 


Female 


Unknown 


Hispanic 


Non- 
Hispanic 


Unknown 


Race 


5,816 

5,398 

233 

27 


5,109 
261 
60 
10 


618 
5,111 

17 
5 


65 

16 

153 

1 


24 
10 
3 


5,157 

4,391 

207 

14 


635 

997 

23 

2 


24 
10 
3 
11 


1,412 

131 

22 

3 


3,559 

4,083 

190 

7 




















Sex 


8.478 

2,969 

27 


3,831 

1,599 

10 


4,465 

1,281 

5 


152 
82 


30 
7 
11 


7,064 

2,691 

14 


1,384 

271 

2 


30 
7 
11 


1,253 

312 

3 


5,719 

2,113 

7 




nknown 


544 
17 


Ethnic Origin 


1,509 
7,945 
2,020 


1,333 

3,339 

768 


159 
4,375 
1,217 


14 
207 
14 


3 
24 

21 


1,405 
6,695 
1,669 


101 
1,226 
330 


3 
24 
21 


1,241 
310 
17 


249 

7,551 
39 
















pah 


11,474 


5,440 


5,751 


235 


48 


9,769 


1,657 


48 


1,568 


7,839 


2,067 



As in previous years firearms were the weapons used in 3 
of every 5 murders committed in the United States. Of all 
murders, 44 percent were by handguns; 7 percent by 
shotguns; and 4 percent by rifles. Other or unknown types 
of firearms accounted for another 4 percent of the total 
murders. 

Among the remaining weapons, cutting or stabbing 
instruments were employed in 21 percent of the murders; 
blunt objects (clubs, hammers, etc.) in 6 percent; and other 
dangerous weapons, such as poison, explosives, etc., in 8 
percent. Personal weapons (hands, fists, feet, etc.) were 
employed in 7 percent. 

Murder, Type of Weapons Used, 1986 

[Percent distribution by region] 



Region 


Total 

all 

weapons' 


Firearms 


Cutting 

stabbing 


Unknown 

danger- 
ous wea- 
pons 


Personal 
weapons 


Total 


100.0 


59.1 


20.5 


13.5 


6.8 


Northeastern States 

Midwestern States 
Southern States 
Western States 


100.0 
100.0 
100.0 
100.0 


49.4 
60.4 
64.3 
54.8 


26.2 
19.3 
18.4 
21.7 


12.4 
14.6 
12.5 
15.4 


12.0 
5.7 
4.8 
8.0 



Murder Victims, Type of 


Weapons 


Used, 1982-1986 






Weapon 


1982 


1983 


1984 


1985 


1986 


Total 


19,485 


18.673 


16.689 


17,545 


19,257 


Total Firearms 


11.721 


10,895 


9,819 


10.296 


11.381 


Handguns 


8,474 


8,193 


7,277 


7,548 


8,460 


Rifles 


1.017 


831 


763 


810 


788 


Shotguns 


1.377 


1,243 


1,154 


1,188 


1,296 


Other guns 


38 


19 


18 


24 


22 


Firearms-not stated 


815 


609 


607 


726 


815 


Cutting or stabbing 












instruments 


4.065 


4,075 


3.540 


3.694 


3,957 


Blunt objects (clubs. 












hammers, etc.) 


957 


1,062 


973 


972 


1,099 


Personal weapons (hands. 












fists, feet, etc.)' 


1.298 


1,280 


1.090 


1,180 


1.310 


Poison 


19 


20 


6 


7 


14 


Explosives 


12 


5 


8 


11 


16 


Fire 


279 


216 


192 


243 


230 


Narcotics 


16 


17 


19 


31 


23 


Drowning 


52 


40 


44 


43 


49 


Strangulation 


359 


376 


317 


311 


341 


\xph\ \ialion 


108 


123 


111 


1 15 


160 


Other weapons or weapons 












not stated 


599 


564 


570 


642 


677 



Pushed is included in personal weapons. 



'Because of rounding, percentages 

Murder Victims — Weapons Used, 1986 



Add 1.1 lot.lK 







Weapons 










Personal 
















Age 


Total 


Fire- 


stabbing 
instruments 


jects (club, 

hammer, 

etc.) 


weapons 
(hands, 
fists, feet, 


Poison 


Explosives 


Fire 


Narcotics 


Strangu- 
lation 


Asphyxia- 


weapons o 
weapons 
not statec 


Total 


19,257 


11,381 


3.957 


1.099 


1.310 


14 


16 


230 


23 


341 


160 


7 


Percent 




























100.0 


59.1 


20.5 


5.7 


6.8 


.1 


.1 


1.2 


.1 


1.8 


.8 








Under 18' 


1,599 


602 


220 


90 


387 


, 


•, 


60 




30 


61 


| 


18 and over 1 


17,204 


10,564 


3.666 


992 


880 


12 


13 


157 


23 


303 


97 


4 


Infant (under I) 


262 


9 


12 


16 


125 


1 


1 


8 




3 


31 




















27 




































10 to 14 


199 


101 


32 


15 


15 




1 


7 






6 




15 to 19 


1,517 


1,009 


311 


60 


57 


2 


2 


8 


1 


24 


9 




20 to 24 


3,166 


2,099 


679 


108 


104 


1 




16 


7 


55 


10 




25 to 29 


3,376 


2,229 


710 


140 


116 


2 


1 


20 


4 


50 


14 




30 to 34 


2,647 


1,705 


547 


126 


119 


1 


3 


13 


3 


45 


12 




35 to 39 


1,980 


1,251 


434 


101 


90 




3 


19 




32 


8 




40 to 44 


1,335 


828 


258 


76 


91 


1 


2 


12 


2 


14 


5 




45 to 49 


911 


549 


199 


51 


51 


1 


1 


16 




16 


1 




50 to 54 


714 


407 


152 


59 


49 


1 


1 


8 


1 


12 


8 




55 to 59 


582 


300 


137 


56 


43 


1 




12 




16 


2 




60 to 64 


458 


202 


120 


48 


44 






11 




6 


5 




65 to 69 


386 


160 


95 


55 


42 






4 


1 


12 


3 




70 to 74 


290 


104 


66 


46 


28 


2 




10 




9 


11 




75 and over 


474 


122 


97 


94 


74 






14 


4 


22 


12 




Unknown 


454 


215 


71 


17 


43 


1 


1 


13 




8 


2 





include unkn 



Supporting the philosophy that murder is primarily a 
>cietal problem over which law enforcement has little or no 
jntrol is the fact that nearly 3 of every 5 murder victims in 
)86 were related to (16 percent) or acquainted with (42 
:rcent) their assailants. Among all female murder victims 
. 1986, 30 percent were slain by husbands or boyfriends. 
x percent of the male victims were killed by wives or 
rlfriends. 



Arguments resulted in 38 percent of the murders during 
the year. Nineteen percent occurred as a result of felonious 
activities such as robbery, arson, etc., while another 2 
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 following 
page shows murder circumstances for the past 5 years. 



■ Circumstances by Relationship, 1986 

distribution) 



Victim 


Total 


Felony 
type 


Suspected 
felony type 


Romantic 


Argument 
over money 
or property 


Other 
arguments 


Miscellaneous 
type 


Unable to 
determine 


•ri- 


100.0 


100.0 


100.0 


100.0 


100.0 


100.0 


100.0 


100.0 






band 


2.7 
4.8 
.6 
.7 
1.1 
1.7 
1.0 
.2 
2.9 
30.8 
5.2 
1.5 
2.6 
1.4 
13.0 
29.8 


.2 

.2 

.5 

1.0 

.2 

.1 

1.4 

25.7 

3.8 

.2 

.5 

1.4 

32.2 

32.1 




3.5 
6.2 


.2 

1.5 
.2 
.9 
3.0 
.2 
4.5 
52.2 
19.1 
1.3 

2.6 
8.1 
3.6 


4.9 
7.3 

1.1 

1.0 
2.2 

5.1 
40.4 
8.6 
3.4 
5.2 
2.3 
8.8 
8.3 


4.6 
9.5 
1.0 
1.0 
4.0 
5.6 
.9 

3.6 
38.8 
4.1 
1.1 
2.2 
.9 
11.7 
10.9 






.5 
.3 

.3 


1.6 






ther 


.3 


tighter 






.5 
.2 
.2 
.7 
62.7 
7.5 
2.0 
5.7 
1.5 
7.0 
2.2 




other 














.3 
6.9 
.5 


.8 




11 4 


yfnend 


1.2 


.5 




ighbor 




8.4 
82.3 


5.1 







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



urder Circumstances by Weapons, 1986 



Weapons 


Total 


Felony type 


Suspected 
felony type 


Romantic 
triangle 


Argument 
over money 
or property 


Other 
arguments 


Miscellaneous 

non-felony 

type 


Unable to 
determine 




19,257 


3,730 


379 


414 


471 


6,338 


3.586 


4,339 






earms 


11,381 

3,957 

1,099 

1,310 
14 
16 
230 
23 
49 
341 
160 

677 


2,039 

669 

288 

274 
4 
9 
173 
10 
5 
99 
66 

94 


182 

77 
42 
28 


282 
97 
23 
8 


318 
109 
25 

13 


3,960 
1.649 
283 
304 


2.102 
599 
179 

447 

4 
10 
11 
21 
46 
49 

112 


2,498 




757 






rsonal weapons 
"hands, fists, feet, etc.)' 


236 


plosives 












6 


1 




11 
1 

5 
48 
13 

64 




ircotics 






owning 

'angulation 

phyxialion 

ler weapons 

jr weapons not stated 


25 
2 

16 








2 


3 

1 

2 


118 


• 


388 



Pushed is included m personal weapons. 



Murder Circumstances, 1982-1986 

[Percent distribution] 





1982 


1983 


1984 


1985 


1986 






18,673 




17.545 


19,257 


Percent 1 


100.0 


100.0 


100.0 


100.0 


100.0 


Felony total: 


17.7 


18.0 


18.0 


17.9 


19.4 


Robbery 


10.7 


10.6 


9.3 


9.2 


9.5 


Narcotics 


1.8 


2.0 


2.7 


2.9 


3.9 


Sex ofTenses 


1.4 


1.6 


1.6 


1.5 


1.5 


Arson 


1.0 


.8 


1.0 


1.2 


1.0 


Other felony 


2.7 


3.1 


3.5 


3.1 


3.4 


Suspected felony 


5.2 


3.2 


2.8 


2.0 


2.0 


Argument total: 


36.9 


39.6 


39.5 


39.3 


37.5 


Romantic triangle 


2.4 


2.6 


2.4 


2.3 


2.1 


Property or money 


3.2 


2.8 


2.7 


2.7 


2.4 


Other arguments 


31.3 


34.1 


34.4 


34.3 


32.9 


Miscellaneous 












non-felony types 2 


20.7 


18.3 


17.6 


18.1 


18.6 


Unknown 


19.6 


20.9 


22.1 


22.8 


22.5 



Clearances 

The clearance rate for murder continued to be higher 
than for any other Crime Index offense. Law enforcement 
agencies nationwide, as well as in the cities, were successful 
in clearing 70 percent of the murders occurring in their 
jurisdictions during 1986. Cities 10,000 to 24,999 in 
population reported the most successful clearance rate, 81 
percent. Seventy-eight percent of murders in rural counties 
and 67 percent of those in suburban counties were cleared. 



Regionally, the murder clearance rate was highest in the 
Southern States, 76 percent. Following were the 
Northeastern States with 69 percent and the Midwestern 
and Western States with 65 percent each. 

Persons under 18 years of age were involved in murder 
less often than in any other offense in 1986. They accounted 
for 5 percent of the willful killings cleared by law 
enforcement nationally, as well as in cities and in rural 
counties. Four percent of the suburban county clearances 
involved only persons in this young-age group. 

Persons Arrested 

Murder arrests overall increased 4 percent in 1986 from 
the 1985 volume. Arrests of persons under age 18 increased 
9 percent, while those of persons aged 1 8 and over rose 4 
percent. During the same 2-year period, male and female 
arrests were up, 4 and 5 percent, respectively. 

Forty-one percent of all murder arrestees in 1986 were 
under 25 years of age, with 9 percent of the total being 17 or 
younger. The 18- to 24-year age group showed the greatest 
involvement in this offense, accounting for 33 percent of the 
total 1986 murder arrests. 

Whites comprised 50 percent of the total arrestees for 
murder in 1986. Blacks made up 48 percent, and the 
remainder were of other races. Sixteen percent of the 
arrestees were of Hispanic ethnicity. 

Long-term trends indicate the 1986 murder arrest total 
was 7 percent below the 1982 level but 9 percent above the 
1977 figure. 



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 








Rate per 100.000 


Year 


Number of offenses 


inhabitants 


1985 


87,671 


36.7 


1986 


90,434 


37.5 


Percent change 


+ 3.2 


+ 2.2 



13 



Volume 

During 1986, there were an estimated 90,434 forcible 
rapes in the Nation, comprising 1 percent of the Crime 
Index total and 6 percent of the violent crime volume. 
Geographically, the Southern States, the region with the 
largest population, accounted for 37 percent of the offenses. 
Following were the West with 24 percent, the Midwest with 
23 percent, and the Northeast with 16 percent. 

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



FORCIBLE RAPE 

NUMBER OF OFFENSES KNOWN UP 15% 

RATE PER 100,000 INHABITANTS UP 10% 





































FORCIBLE RAPE BY MONTH 



Forcible Rape by Month, 


1982-1986 








[Percent of annual total] 












Months 


1982 


1983 


1984 


1985 


1986 


January 


7.1 


7.3 


7.1 


7.2 


7.1 


February 


7.2 


6.9 


7.1 


6.6 


6.7 


March 


8.0 


7.6 


7.6 


8.2 


7.9 


April 


8.0 


7.9 


7.7 


8.3 


8.1 


May 


9.0 


8.5 


8.6 


8.9 


8.8 


June 


9.3 


8.8 


8.9 


9.0 


9.2 


July 


10.2 


9.9 


9.9 


10.1 


9.8 


August 


10.0 


10.4 


10.2 


9.9 


10.2 


September 


8.6 


9.1 


9.1 


8.8 


9.1 


October 


8.3 


8.7 


9.0 


8.5 


8.4 


November 


7.2 


7.7 


7.2 


7.7 


7.8 


December 


7.2 


7.1 


7.5 


6.9 


7.0 



Trend 

Compared to the previous year, the 1986 forcible rape 
volume was 3 percent higher nationwide, in cities, and in 
rural counties. The increase in the suburban counties was 6 
percent. Among all population groupings, only cities with 1 
million or more inhabitants showed a decline; locales of that 
size collectively recorded a 4-percent decrease. 

Geographically, three of the four regions in the country — 
the Midwestern, Southern, and Western States — registered 
4-percent increases. The Northeastern States experienced 
the only decline, 1 percent. 

National trends for 5 and 10 years show that the forcible 
rape total rose 15 percent from 1982 and 42 percent from 
1977. 



Rate 

By Uniform Crime Reporting definition, the victims of 
forcible rape are always female. In 1986, an estimated 73 of 
every 100,000 females in the country were reported rape 
victims, a rate increase of 2 percent from 1985. Since 1982, 
the female forcible rape rate has risen 10 percent. 

Female forcible rape rates for 1986 showed there were 84 
victims per 100,000 females in MSAs, 43 per 100,000 
females in cities outside metropolitan areas, and 35 per 
100,000 females in rural counties. 

Regionally, the highest female rape rate was in the 
Western States, which recorded 86 victims per 100,000 
females. Following were the Southern States with a rate of 
79, the Midwestern States with 69, and the Northeastern 
States with 55. 

Nature 

Of all reported forcible rapes during 1986, 80 percent 
were rapes by force. The remainder were attempts or 
assaults to commit forcible rape. A 4-percent increase was 
registered in the number of rapes by force, and attempts to 
commit rape increased 2 percent from the 1985 figure. 

Clearances 

Nationwide in 1986, 52 percent of the forcible rapes 
reported to law enforcement were cleared by arrest or 
exceptional means. Rural county law enforcement agencies 
cleared 58 percent of the offenses brought to their attention, 
while suburban county agencies cleared 54 percent and 
those in cities, 51 percent. 

Clearance rates for the regions ranged from 45 percent in 
the Midwestern States to 57 percent in the Southern States. 
In the Northeastern States, the clearance rate for forcible 
rape was 56 percent, and in the Western States, it was 49 
percent. 

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



ercent involvement of this age group, whereas the those of adults rose 12 percent. Arrests of persons under 18 
aburban counties reported 9 percent. years of age for this offense increased 14 percent during the 



ersons Arrested 



same timespan. 

Of the forcible rape arrestees in 1986, 45 percent were 
The number of arrests for forcible rape rose nearly 1 persons under the age of 25, with 30 percent of the total 
ercent nationwide, as well as in the cities, from 1985 to 1986. being in the 18- to 24-year age group. Fifty-two percent of 
hese arrests were up 2 percent in the suburban counties but those arrested were white, 47 percent were black, and all 
:mained virtually the same in the rural counties. For the 5- other races comprised the remainder. Hispanics comprised 
ear period, 1982 to 1986, total forcible rape arrests and 12 percent of the total arrestees. 



15 



ROBBERY 
DEFINITION 



Robbery is the taking or attempting to take anything of value from the care, custody, 
or control of a person or persons by force or threat of force or violence and/or by 
putting the victim in fear. 



Year Number of offenses 

1985 497,874 

1986 542,775 

Percent change + 9.0 



Rate per 100,000 

inhabitants 

208.5 

225.1 

+ 8.0 



/olume 

Accounting for 4 percent of all Index crimes and 36 
>ercent of violent crimes, the estimated robbery total in 
986 was 542,775. During the year, robberies occurred most 
requently in August and least often in April. 

Regionally, the most populous Southern States registered 
U percent of all reported robberies. Following were the 
Northeastern States with 27 percent, the Western States 
vith 23 percent, and the Midwestern States with the 
emainder. 



counties, a 5-percent rise. Of the cities, those with 
populations under 10,000 registered the greatest increase, 12 
percent. 

Two-year regional trends show the number of robberies 
was up in all regions. The increases were 17 percent in the 
South; 9 percent in the Midwest; 8 percent in the West; and 
3 percent in the Northeast. 

The accompanying chart depicts the trend in the robbery 
volume, as well as the robbery rate, for the years 1982-1986. 
In 1986, the number of robbery offenses was 2 percent lower 
than in 1982 but 32 percent above the 1977 total. 




tobbery by Month, 1982-1986 

Percent of annual total] 



Months 


1982 


1983 


1984 


1985 


1986 


anuary 


9.1 


9.5 


8.9 


8.6 


8.7 


ebruary 


8.2 


8.1 


8.2 


7.4 


7.7 


.larch 


8.0 


8.3 


8.1 


7.9 


8.2 


Ipril 


7.5 


7.6 


7.6 


7.3 


7.6 


4ay 


7.5 


7.4 


7.6 


7.5 


7.7 


une 


7.7 


7.4 


7.5 


7.7 


8.0 


uly 


8.4 


7.9 


7.9 


8.6 


8.4 


lugust 


8.5 


8.6 


8.5 


8.9 


9.3 


*ptember 


8.3 


8.4 


8.2 


8.4 


8.6 


ictober 


8.5 


8.8 


9.0 


9.1 


8.7 


■Jovember 


8.4 


8.8 


8.6 


8.8 


8.3 


December 


9.8 


9.2 


9.9 


9.7 


9.0 



trend 

Nationwide and in the cities, 1986 robbery volumes were 
) percent higher than 1985 levels. The suburban counties 
;xperienced a 13-percent jump in robberies and the rural 



ROBBERY 

NUMBER OF OFFENSES KNOWN DOWN 2% 

RATE PER 100,000 INHABITANTS DOWN 6% 



































Rate 

The national robbery rate in 1986 was 225 per 100,000 
people, an increase of 8 percent over the 1985 rate. With 960 
robberies per 100,000 inhabitants, the highest rate was 
recorded in cities with populations over 1 million, while the 
rural counties' rate of 15 was the lowest. In metropolitan 
areas, the robbery rate was 286, and in cities outside 
metropolitan areas, it was 49. 

Higher robbery rates were evident in all regions during 
1986. The Northeast's rate of 298 per 100,000 population 
was up 2 percent; the West's rate of 251 was 6 percent 
higher; the South's rate of 199 was a jump of 15 percent; 
and the Midwest's rate of 179 represented an 8-percent 



Nature 

In 1986, a total estimated national loss of $323 million 
was due to robberies. The value of property stolen during 
robberies averaged $596 per incident. Average dollar losses 
ranged from $303 taken during robberies of gas or service 
stations to $2,664 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. 

Robbery, Percent Distribution, 1986 

[By population group] 



Robbery, Percent Distribution, 

[By region] 





United 
States 
Total 


North- 
States 


Mid- 
States 


Southern 
States 


Western 
States 


Total 1 


100.0 


100.0 


100.0 


100.0 


100.0 


Street/highway 


55.6 


63.4 


58.8 


49.3 


52.3 


Commercial house 


12.3 


7.1 


9.5 


16.2 


15.5 


Gas or service station 


3.1 


2.5 


3.5 


3.4 


3.0 


Convenience store 


5.3 


1.9 


3.3 


9.1 


5.8 


Residence 


10.4 


12.4 


10.4 


9.8 


9.1 


Bank 


1.3 


.5 


.9 


1.1 


2.7 


Miscellaneous 


12.0 


12.2 


13.7 


11.2 


11.6 



Because of rounding, percentages may 





Group 1 (58 
cities, 250.000 

population 
42.614,000) 


Group II (123 
cities, 100,000 to 
249,999; popula- 
tion 17,959,000) 


Group III (300 
cities, 50,000 to 
99,999; popula- 
tion 20,511,000) 


Group IV (656 
cities, 25,000 to 
49,999; popula- 
tion 22.677,000) 


Group V (1,609 
cities. 10.000 to 
24,999; popula- 
tion 25,276,000) 


Group VI (6,447 
cities under 
10,000; popula- 
tion 23,032,000) 


County 

(4.185 agencies; 
population 
73,192,000) 




100.0 


100.0 


100.0 


100.0 


100.0 


100.0 










62.5 
9.8 
2.0 
3.4 

10.6 
.8 

10.9 


55.3 
13.5 
3.5 
6.8 
9.7 
1.7 
9.5 


49.8 
15.9 
4.0 
7.0 
9.1 
1.8 
12.5 


42.4 
17.2 
5.0 
8.0 
9.9 
1.8 
15.8 


35.1 
17.9 

6.7 
10.1 
11.2 

2.1 
16.9 


29.5 
18.4 

6.6 
11.7 
11.6 

2.4 
19.8 
























Miscellaneous 


15.9 



Because of rounding, percentages may not add to totals. 

All types of robbery increased from 1985 to 1986. The 
increases ranged from 15 percent for commercial house 
robberies to 3 percent for those of gas or service stations. 

Forty-three percent of all robberies in 1986 were 
committed through the use of strong-arm tactics. Firearms 
were used in 34 percent, knives or cutting instruments in 13 
percent, and other weapons in the remaining 10 percent. A 
comparison of 1985 and 1986 robbery totals by weapon 
showed those by knives or cutting instruments up 12 
percent. Robberies by firearms were up 6 percent, and those 
by other dangerous weapons rose 16 percent. Strong-armed 
robberies increased 8 percent in volume during the 2-year 
period. 



Robbery, Type of Weapons Used, 1986 

[Percent distribution by region] 





Total 
all 


Armed 




R eg,o„ 


Fire- 


Knife or 

cutting 


Other 
weapons 


aT/d 




100.0 


34.3 


13.5 


9.7 








Northeastern States 

Midwestern States 
Southern States 
Western States 


100.0 
100.0 
100.0 
100.0 


27.3 
34.1 
41.2 
33.5 


17.2 
10.6 
11.6 
14.0 


10.9 
10.9 
8.0 


44.6 
44.3 
39.2 
43.1 



Because of rounding, percentages may 



STREET ROBBERY 

1982-1986 

UP 3% 



+ 20% 


+ 10% 





-10% 


-20% 



-30% 



ROBBERY OF 
COMERCIAL HOUSE 

1982-1986 

UP 3% 



1983 1984 




ROBBERY OF 
GAS STATION 

1982-1986 

DOWN 13% 

















+ 20% 
+ 10% 



ROBBERY OF 
CONVENIENCE STORE 

1982-1986 

DOWN 16% 




ROBBERY OF 
RESIDENCE 

1982-1986 

DOWN 6% 




+ 20% 
+ 10% 



-10% 

-20% 

-30% 



BANK ROBBERY 

1982-1986 

DOWN 1% 



1984 1985 



I984 1985 



Clearances 

For every 4 robberies reported in 1986, one was cleared 
by law enforcement. The highest robbery clearance rate — 38 
percent — was registered by rural law enforcement agencies. 
Suburban county agencies cleared 28 percent and those in 
cities, 24 percent. Regional robbery clearance percentages 
were 27 percent in the South, 25 percent in both the West 
and Northeast, and 20 percent in the Midwest. 

Nationally, as well as for city and suburban county law 
enforcement agencies, persons under the age of 18 were the 
offenders in 11 percent of all 1986 robbery clearances. This 
age group accounted for 7 percent of the rural county 
clearances. 



Persons Arrested 

Nationally, arrests for robbery rose 7 percent in 1986 
when compared to 1985. This same increase was 
experienced in both the cities and the suburban counties; the 
rural counties, however, showed a decrease of 6 percent. 

Sixty-two percent of all robbery arrestees in 1986 were 
under 25 years of age, and 92 percent were males. Sixty-two 
percent of those arrested were black, 37 percent were white, 
and the remainder were of other races. Fourteen percent of 
the robbery arrestees were Hispanic. 

The total number of robbery arrests, as well as those of 
males arrested for this offense, decreased 4 percent during 
the 5-year period, 1982-1986. Female arrests were up 2 
percent for this same timespan. Juvenile arrests were down 
16 percent, while those of adults showed little change. 



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. 





TRF.lSin 




Year 

1985 

1986 


Number of offenses 
723,246 
834,322 


Rate per 100,000 

inhabitants 

302.9 

346.1 

+ 14.3 




+ 15.4 







21 



Volume 

Totaling an estimated 834,322 offenses nationally, 
aggravated assaults in 1986 occurred most frequently in the 
summer months. Geographic distribution figures show that 
37 percent of the aggravated assault volume was accounted 
for by the Southern States, 25 percent by the Western States, 
2 1 percent by the Midwestern States, and the remainder by 
the Northeastern States. 



AGGRAVATED ASSAULT 

NUMBER OF OFFENSES KNOWN UP 25% 

RATE PER 100,000 INHABITANTS UP 20% 








■ 








j-"**^"*^ 


- .-■„, 




_ 


••-■'" 



















'"" 


AGGRAVATED ASSAULT BY MONTH 










V.rt.lton F,cm Annual <„„,,. ^^*~ 


"^ 






S' "*N^__ 


,. 


y ^ s> »», 






j 


AN FEB MAR APR MAT JUNE JULY 


AUO. SEPT. 


CT. NOV 


DEC 



Aggravated Assault by Month, 1982-1986 

[Percent of annual total] 



Months 


1982 


1983 


1984 


1985 


1986 


January 


7.3 


7.7 


7.0 


7.0 


6.8 


February 


7.1 


7.1 


7.0 


6.8 


6.3 


March 


8.1 


7.9 


7.8 


8.2 


8.0 


April 


8.3 


8.1 


7.9 


8.2 


8.1 


May 


9.0 


8.9 


8.7 


8.8 


9.1 














July 


9.7 










August 


9.0 


9.7 


9.5 


9.5 


10.0 














October 


8.5 


8.5 


8.9 


8.8 


8.3 


November 


7.4 


7.4 


7.6 


7.9 


7.6 


December 


7.7 


7.3 


8.1 


7.4 


7.4 



Trend 

Upward trends in aggravated assault were evident 
nationwide and throughout all regions and population 
groups in 1986. The increases over 1985 were 10 percent in 
the Northeast, 12 percent in the South, 14 percent in the 
Midwest, and 26 percent in the West. Nationally, the 
aggravated assault total rose 15 percent for the 2-year 
period. 

By population group, cities with 1 million or more 
inhabitants recorded the greatest rise in aggravated assaults 
from 1985, 24 percent. Upswings of 17 percent in the cities 
collectively, 12 percent in the suburban counties, and 7 
percent in the rural counties were registered for this offense 
during the same time period. 

Five- and 10-year trends show aggravated assaults up 25 
percent from 1982 and 56 percent from 1977. 



Rate 

There were 346 reported victims of aggravated assault for 
every 100,000 people nationwide in 1986. Higher than the 
national average, the rate in metropolitan areas was 394 per 
100,000. Cities outside metropolitan areas experienced a 
rate of 274 and rural counties, a rate of 137. 

The 1986 aggravated assault rate increased 14 percent 
over 1985 and 20 percent above the 1982 level. 

Nature 

Weapon distribution data for 1986 showed 32 percent of 
the aggravated assaults reported were committed with blunt 
objects or other dangerous weapons. Of the remaining 
categories, personal weapons such as hands, fists, and feet 
were used in 25 percent of the offenses; knives or cutting 
instruments in 22 percent; and firearms in 21 percent. 

From 1985 to 1986, aggravated assaults committed with 
cutting instruments increased 10 percent; those with 
firearms, 13 percent; and those with blunt objects or other 
dangerous weapons, 16 percent. Assaults where personal 
weapons were used showed the greatest increase, 21 percent. 

The following table shows the 1986 regional experience of 
aggravated assault by type of weapon used. 

Aggravated Assault, Type of Weapons Used, 1986 

[Percent distribution by region] 











Other 






Total 

all 

weapons' 




Knife or 


weapons 




Region 


Fire- 


cutting 


(clubs, 

blunt 
objects, 
etc.) 


Personal 
weapons 


Total 


100.0 


21.3 


22.0 


31.9 


24.8 


Northeastern States 


100.0 


13.3 


24.8 


34.7 


27.1 


Midwestern States 


100.0 


24.4 


23.1 


34.4 


18.1 


Southern States 


100.0 


25.5 


23.6 


30.5 


20.4 


Western States 


100.0 


18.1 


17.0 


30.0 


35.0 



'Because of rounding, percentages i 



Clearances 

During 1986, law enforcement agencies nationwide and in 
le cities cleared 59 percent of the aggravated assaults 
:ported. The highest clearance rate, 67 percent, was 
:corded by the rural counties and cities with populations 
ss than 10,000. 

Geographically, clearance percentages for aggravated 
ssault were 62 percent in the South, 59 percent in both the 
/est and Northeast, and 55 percent in the Midwest. 

Nine percent of the clearances reported by city and 
lburban county agencies involved only persons under age 
8. Persons in this age group were identified as the 
ssailants in 8 percent of the national and 6 percent of the 
iral county aggravated assault clearances. 



Persons Arrested 

The estimated 351,770 persons arrested for aggravated 
assault in 1986 represented 71 percent of all arrestees for 
violent crimes. Whites comprised 59 percent of the 
arrestees; blacks, 40 percent; and all other races, the 
remainder. Eighty-seven percent of the arrestees were males 
and 13 percent, females. Eighty-five percent were non- 
Hispanic. 

Total arrests for aggravated assault were up 16 percent in 
1986 from the 1985 total. During this 2-year period, adult 
arrests rose 17 percent and those of juveniles increased 7 
percent. A comparison of 1982 and 1986 figures showed 
total arrests for this offense up 1 5 percent; those of persons 
under age 18, up 9 percent; and those of adults, up 16 
percent. 



23 



BURGLARY 
DEFINITION 



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





TPFNin 




Year 
1985 


Number of offenses 
3,073,348 


Rate per 100,000 

inhabitants 

1,287.3 

1,344.6 

+ 4.5 


1986 


3,241,410 


Percent change 


+ 5.5 



'olume 

The estimated national burglary total in 1986 was over 
.2 million. Burglaries accounted for 25 percent of all Crime 
ndex offenses and 28 percent of property crimes. 

Distribution figures for the regions showed that the 
ighest burglary volume occurred in the Southern States, 39 
ercent. The Western States followed with 25 percent, the 
lidwestern States with 20 percent, and the Northeastern 
tates with 16 percent. 

Like the previous year, more burglaries occurred more 
•equently in August than any other month and least often 
l February. 



BURGLARY 

NUMBER OF OFFENSES KNOWN DOWN 6% 

RATE PER 100,000 INHABITANTS DOWN 10% 










"""""""s^r- 












_._.-.— 















BURGLARY BY MONTH 




"•"•""" ' 


cm tnw.l A..,.,. 


.6 


^^~ ' '~-*» .<*«• 


" 


^^^s' * "" 













• UO SEPT OCT 



urglary by Month, 1982-1986 

'ercent of annual total] 



Months 


1982 


1983 


1984 


1985 


1986 












84 


bruary 


7.7 


7.8 


7.9 


7.2 


7.5 


arch 


8.4 


8.5 


8.0 


8.2 


8.3 


pril 


7.9 


7.9 


7.8 


7.8 


7.9 


ay 


7.9 


8.1 


8.0 


8.0 


8.1 


ne 


8.3 


7.8 


7.8 


7.9 


8.1 


I 


8.8 


8.5 


8.7 


9.0 


8.9 


iigust 


8.8 


9.0 


8.9 


9.1 


9.0 


ptember 


8.3 


8.4 


8.3 


8.5 


8.5 


.tober 


8.3 


8.5 


8.8 


9.0 


8.4 


avember 


8.3 


8.3 


8.4 


8.5 


8.1 


Kember 


8.9 


8.1 


9.0 


8.8 


8.8 



The 1986 burglary volume was 5 percent higher than in 
985 nationwide, as well as in the cities and rural counties, 
i the suburban counties, a 6-percent increase was 
jgistered. 

Geographically, the Northeastern States showed virtually 
o change in the burglary count, while the three remaining 
jgions experienced upswings. Burglary rose 12 percent in 
le Southern States, 3 percent in the Western States, and 2 
ercent in the Midwestern States. 



Rate 

A burglary rate of 1,345 per 100,000 inhabitants was 
registered nationwide in 1986. The rate increased 4 percent 
over 1985 but was 10 percent below the 1982 rate. For every 
100,000 in population, the rate was 1,510 in the 
metropolitan areas, 1,046 in the cities outside metropolitan 
areas, and 649 in the rural counties. 

Regionally, the burglary rate in the South was 1,523, an 
increase of 1 1 percent from the previous year. The rate was 
up 1 percent fr nn 1985 in both the West and Midwest 
where the 1986 rates were 1,671 and 1,082, respectively. The 
Northeast, with a rate of 1,043, was the only region to show 
a decline, 1 percent. 
Nature 

Two of every 3 burglaries in 1986 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. Considering 
those offenses for which time of occurrence was reported, 53 
percent occurred at night and 47 percent during the 
daytime. 

Burglary victims suffered losses estimated at $3.1 billion 
in 1986, and the average dollar loss per burglary was $960. 
The average loss for residential offenses was $99 1 , while for 
nonresidential property, it was $894. 

Residential burglary increased 7 percent from 1985 to 
1986; nonresidential offenses were up 3 percent during the 
same period. 
Clearances 

In 1986, 14 percent of the burglaries brought to the 
attention of law enforcement agencies across the country 
were cleared. Geographically, a 16-percent clearance rate 
was registered in the South. In both the Northeast and 
West, the rate was 13 percent, while in the Midwest, it was 
11 percent. 



RESIDENCE 
BURGLARY 

NIGHTTIME 

1982-1986 

DOWN 7% 




1983 1984 1985 



NONRESIDENCE 
BURGLARY 

NIGHTTIME 

1982-1986 

DOWN 17% 




1982 1983 



1985 1! 



+ 20% 
+ 10% 



-10% 

-20% 

.-30% 
+ 20% 

+ 10% 


-10% 
-20% 
-30% 



RESIDENCE 
BURGLARY 

DA YTIME 

1982-1986 

DOWN .1% 



1982 1983 1984 1985 



NONRESIDENCE 
BURGLARY 



DA YTIME 

1982-1986 

UP 2% 



1982 1983 



BURGLARIES OF UNKNOWN TIME OF OCCURRENCE ARE NOT INCLUDED. 



Rural county law enforcement cleared 16 percent of the 
jrglaries in their jurisdictions. Those in the suburban 
mnties recorded a clearance rate of 15 percent, and 
»encies in cities obtained clearances in 13 percent of these 
imes. 

Adults were involved in 79 percent of all burglary 
Tenses cleared, and only young people under 18 years of 
»e were offenders in the remaining 21 percent. Similar to 
le national experience, persons under age 1 8 accounted for 
I percent of the burglary clearances in both cities and 
lburban counties and 22 percent of those in rural counties, 
he highest degree of juvenile involvement in burglary was 
:corded in the Nation's smallest cities (under 10,000 
apulation) where young persons under 18 years of age 
)mprised 28 percent of the clearances. 



Persons Arrested 

In the UCR Program, several persons may be arrested in 
connection with the clearance of one crime, or the arrest of 
one individual may clear numerous offenses. The latter is 
often true in cases of burglary for which an estimated 
450,600 arrests were made in 1986. Arrest trends for 1986 
and 1985 show a 1 -percent increase in total burglary arrests, 
and a 4-percent rise in those of adults, while arrests of 
persons under 18 years of age were down 5 percent. For the 
same period, total burglary arrests rose 4 percent in the 
suburban counties, while in the cities and the rural counties 
they showed virtually no change. 

Ninety-two percent of the burglary arrestees during 1986 
were males and 71 percent were under 25 years of age. Of 
the total burglary arrestees, whites accounted for 69 percent, 
blacks for 30 percent, and other races for the remainder. 
Eighty-five percent of the persons arrested for burglary were 
non-Hispanic. 



27 



LARCENY-THEFT 
_ DEFINITION _ 



Larceny-theft is the unlawful taking, carrying, leading, or riding away of property 
from the possession or constructive possession of another. It includes crimes such as 
shoplifting, pocket-picking, purse-snatching, thefts from motor vehicles, thefts of motor 
vehicle parts and accessories, bicycle thefts, etc., in which no use 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. 





TPFMFl 








Rate per 100,000 


Year 


Number of offenses 


inhabitants 


1985 


6,926,380 


2,901.2 


1986 


7,257,153 


3,010.3 


Percent change 


+ 4.8 


+ 3.8 



'olume 

Estimated at 7,257,153 offenses in 1986, larceny-thefts 
omprised 55 percent of the Crime Index total and 62 
ercent of the property crimes. When viewed monthly, 
irceny-thefts were recorded most often during August and 
;ast frequently in February. 




OCT MOV DEC 



Regionally, the most populous Southern States recorded 
6 percent of the total. The Western States registered 25 
ercent; the Midwestern States, 23 percent; and the 
Jortheastern States, 17 percent. 

arceny-Theft by Month, 1982-1986 

■ercent of annual total] 



Months 


1982 


1983 


1984 


1985 


1986 














jbruary 


7.1 


7.4 


7.6 


7.0 


7.2 


arch 


8.0 


8.4 


8.0 


8.2 


8.3 














ay 


8.3 


8.4 


8.2 


8.4 






8.9 


8.5 


8.4 


8.5 


8.6 


ly 


9.2 


8.9 


9.0 


9.3 


9.1 


ugust 


9.4 


9.4 


9.4 


9.5 


9.3 


ptember 


8.6 


8.4 


8.3 


8.4 


8.4 


ctober 


8.7 


8.6 


8.9 


8.9 


8.5 


ovember 


8.2 


8.0 


8.2 


8.2 


7.9 


ecember 


8.5 


7.7 


8.5 


8.1 


8.3 



rend 



A comparison of 1985 and 1986 figures showed that 
irceny-theft increased 5 percent nationally, in cities 
ollectively, and in the suburban counties. Rural counties 
howed a rise of 3 percent. 

Volume increases among the regions ranged from 8 
•ercent in the Southern States to 2 percent in the 
•Jortheastern States. The Western States showed a 4-percent 
ipswing in larceny-thefts and the Midwestern States, a 3- 
lercent rise. 

The 5- and 10-year volume trends showed a 2-percent 
ncrease over 1982 and a 23-percent rise over 1977 figures. 



LARCENY-THEFT 

NUMBER OF OFFENSES KNOWN UP 2% 

RATE PER 100,000 INHABITANTS DOWN 2% 
















- 












Rate 

Four percent higher than in 1985, the 1986 larceny-theft 
rate was 3,010 per 100,000 United States inhabitants. The 
larceny-theft rate was 3,374 per 100,000 inhabitants of 
metropolitan areas; 3,191 per 100,000 population in cities 
outside metropolitan areas; and 921 per 100,000 people in 
the rural counties. 

Regionally, all larceny-theft rates increased over 1985 
levels. The 1986 rates per 100,000 inhabitants were 3,662 in 
the Western States, 3,107 in the Southern States, 2,792 in 
the Midwestern States and 2,473 in the Northeastern States. 

Nature 

The average value of property stolen due to larceny-theft 
during 1986 was $400, up from $393 in 1985. When the 
average value was applied to the estimated number of 
larceny-thefts, the loss to victims nationally was $2.9 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 27 percent of 
the thefts reported to law enforcement in 1986 ranged from 
$50 to $200, while in 34 percent, they were over $200. 

Losses of goods and property reported stolen as a result of 
pocket-picking was $248; purse-snatching, $208; and 
shoplifting, $86. Thefts from buildings resulted in an 
average loss of $646; from motor vehicles, $428; and from 
coin-operated machines, $129. The average value loss due to 
thefts of motor vehicle accessories was $282 and for thefts of 
bicycles, $167. 

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 
those from buildings and shoplifting, each accounting for 1 5 
percent; and bicycle thefts, accounting for 7 percent. The 
remainder were distributed among pocket-picking, purse- 
snatching, thefts from coin-operated machines, and all other 



29 



POCKET-PICKING 

1982-1986 
DOWN 2% 



THEFT OF MOTOR 
VEHICLE ACCESSORIES 

1982-1986 

DOWN 14% 



k20% 
-10% 



PURSE-SNATCHING 

1982-1986 

DOWN 5% 




THEFT FROM 
MOTOR VEHICLES 

1982-1986 

UP 11% 



10% 





THEFT OF BICYCLES 

1982-1986 

DOWN 16% 



THEFT FROM BUILDINGS 

1982-1986 

DOWN 3% 




••20% 
1-10% 


-10% 
-20% 
-30% 



THEFT FROM 
COIN MACHINES 

1982-1988 

UP 5% 




LARCENY ANALYSIS 
1986 



LU 



■ 

>■ 
Z 
LU 

o 

< 



PURSE - SNATCHING 1% 
POCKET- PICKING 1% 
COIN MACHINES 1% 
SHOPLIFTING 15% 

BICYCLES 8% 



FROM MOTOR VEHICLES 21% 



FROM BUILDINGS 15% 



MOTOR VEHICLE ACCESSORIES 1 7% 



ALL OTHERS 22% 



31 



types of larceny-thefts. The accompanying table presents the 
distribution of larceny-theft by type and geographic region. 

Larceny Analysis by Region, 1986 

[Percent distribution by region] 





United 
States 
total 


North- 


Mid- 


Southern 


Western 




States 


States 


States 


States 


Total' 


100.0 


100.0 


100.0 


100.0 


100.0 


Pocket-picking 


1.2 


3.6 


.9 


.5 


.7 


Purse-snatching 


1.3 


2.4 


1.3 


1.1 


.9 


Shoplifting 


14.8 


11.4 


13.1 


15.5 


17.6 


From motor vehicles 












(except accessories) 


20.7 


19.7 


18.1 


19.3 


25.6 


Motor vehicle 












accessories 


16.6 


18.7 


16.2 


18.0 


13.6 


Bicycles.. 


7.2 


7.0 


7.3 


6.6 


8.0 


From buildings 


15.2 


19.5 


18.8 


12.0 


13.6 


From coin-operated 












machines 


.9 


.8 


.7 


1.2 


.8 




22.2 


16.9 


23.7 


25.9 









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

Clearances 

Nationwide and in cities during 1986, 20 percent of the 
reported larceny-thefts were cleared. The highest clearance 
rate, 24 percent, was reported by law enforcement agencies 
in cities from 10,000 to 24,999 in population. Those in 
suburban counties recorded an 18-percent rate, and in rural 
counties, 17 percent. 

Regionally, law enforcement agencies in the West cleared 
2 1 percent of the larceny offenses brought to their attention. 
The clearance rate in the South and Midwest was 20 
percent; and in the Northeast, 18 percent. 



Persons under 18 years of age were involved in 23 percent 
of the national clearances for larceny-theft. Twenty-four 
percent of the clearances in cities, 21 percent of those in 
suburban counties, and 17 percent of those in rural counties 
were accounted for by persons in this age group. 

Persons Arrested 

The number of persons arrested for larceny-theft was 4 
percent higher in 1986 than in 1985. Like the overall 
increase, female arrests for this offense were up 4 percent, 
and those of males increased 5 percent. During this same 
period, adult arrests rose 6 percent while those of persons 
under 18 years of age were up 2 percent. 

Considering a longer timeframe, larceny-theft arrests 
showed a 5-percent increase for the 5-year period, 1982- 
1986. Juvenile arrests were up 1 percent, and those of adults 
rose 6 percent during this timespan. 

Larceny-thefts not only comprised the largest portion of 
Crime Index offenses reported to law enforcement, they also 
accounted for 55 percent of the arrests for Index crimes in 
1986. Forty-six percent of the larceny arrests were of 
persons under 21 years of age, and 32 percent of the 
arrestees were under 18. Females, who were arrested for this 
offense more often than for any other in 1986, comprised 31 
percent of all larceny-theft arrestees. 

Whites accounted for 68 percent of the total larceny-theft 
arrests, blacks for 30 percent, and all other races made up 
the remainder. Eighty-eight percent of the arrestees were 
persons of non-Hispanic ethnicity. 



32 



MOTOR VEHICLE THEFT 
DEFINITION 



Defined as the theft or attempted theft of a motor vehicle, this offense category 
includes the stealing of automobiles, trucks, buses, motorcycles, motorscooters, 
snowmobiles, etc. The definition excludes the taking of a motor vehicle for temporary 
use by those persons having lawful access. 





TBFNn 








Rate per 100,000 


Year 


Number of offenses 


inhabitants 


1985 


1,102.862 


462.0 


1986 


1,224,137 


507.8 


Percent change 


+ 11.0 


+ 9.9 



33 



Volume 

Accounting for 9 percent of all Index crimes and 10 
percent of all property crimes, motor vehicle thefts totaled 
an estimated 1,224,137 offenses in 1986. The regional 
distribution of motor vehicle theft showed 31 percent of the 
volume was in the Southern States, 24 percent in the 
Northeastern States, 23 percent in the Western States, and 
22 percent in the Midwestern States. 

Motor vehicle theft figures by month showed that the 
greatest number occurred in August, while the lowest was in 
February. 



MOTOR VEHICLE THEFT 

NUMBER OF OFFENSES KNOWN UP 15% 

RATE PER 100,000 INHABITANTS UP 11% 








| .— ■ 








^^"'"" 




















Motor Vehicle Theft by Month, 1982-1986 

[Percenl of annual total] 



January 
February 
March 

May 

June 

July 

August 

September 

October 

November 



Trend 

When viewing 1985 to 1986 figures, the number of motor 
vehicle thefts rose 11 percent nationally, with the increase 
extending into all regions, areas, and population groups. 
The Nation's cities recorded a 12-percent rise; suburban 
counties, a 10-percent increase; and rural counties, a 6- 
percent rise. 

Geographically, the increases were 16 percent in the 
Southern States, 14 percent in the Western States, 8 percent 
in the Northeastern States, and 5 percent in the Midwestern 
States. 

The accompanying chart shows that the volume of motor 
vehicle thefts in 1986 increased 15 percent over the 1982 
volume. It was 25 percent above the 1977 level. 



Rate 

The 1986 national motor vehicle theft rate — 508 per 
100,000 people — was 10 percent higher than the rate in 
1985. The rate was 11 percent higher than in 1982 and 12 
percent above the 1977 experience. 

For every 100,000 inhabitants living in MSAs, there were 
619 motor vehicle thefts reported in 1986. The rate in cities 
outside metropolitan areas (other cities) was 206 and in 
rural counties, 108. As in previous years, the highest rates 
were in the Nation's most heavily populated municipalities, 
indicating that this offense is primarily a large-city problem. 

Among the regions, the motor vehicle theft rates ranged 
from 587 per 100,000 people in the Northeastern States to 
448 in the Midwestern States. The Western States' rate was 
584 and the Southern States' rate, 458. From 1985 to 1986, 
rate increases were registered in the Southern States, 14 
percent; the Western States, 11 percent; the Northeastern 
States, 8 percent; and the Midwestern States, 5 percent. 

In 1986, an estimated average of 1 of every 149 registered 
motor vehicles was stolen nationwide. Regionally, this rate 
was greatest in the Northeast where 1 of every 108 motor 
vehicles registered was stolen. The other three regions 
reported lesser rates — 1 per 134 in the West, 1 per 171 in the 
South, and 1 per 177 in the Midwest. 

Nature 

An estimated national loss of $6 billion in 1986 was due 
to motor vehicle theft. At the time of theft, the average 
value per vehicle stolen was $4,888. 

Of all motor vehicles reported stolen during the year, 77 
percent were automobiles, 14 percent were trucks or buses, 
and the remainder were other types. 



Vehicle Theft, 1986 

t distribution by region] 



Region 


Total 1 


Autos 


and 


Other 
vehicles 


tal 


100.0 


77.3 


13.6 


9.1 




100.0 
100.0 
100.0 
100.0 


90.7 
83.5 
71.7 
66.1 


5.0 
8.2 
17.7 
21.5 


4.3 




8.4 


uthem States 
estern States 


10.6 
12.5 



Because of rounding, percentages may not add to totals. 

learances 

The national clearance rate for motor vehicle theft in 
)86 was 15 percent. City law enforcement agencies cleared 
t percent of the motor vehicle thefts reported in their 
cales; those in the suburban counties cleared 19 percent; 
id in rural counties, 32 percent. 

Regional clearance percentages for motor vehicle theft 
ere 9 percent in the Northeastern States, 14 percent in the 
[idwestern States, 16 percent in the Western States, and 19 
:rcent in the Southern States. 



Persons in the under 18 age group accounted for 20 
percent of the motor vehicle thefts cleared nationwide, in 
cities and in suburban counties. They comprised 19 percent 
of the clearances in the rural counties. 

Persons Arrested 

Of persons arrested for motor vehicle theft in 1986, 91 
percent were males. Sixty-four percent of the arrestees were 
white, 35 percent were black, and the remainder were of 
other races. Sixteen percent of the arrestees were Hispanic. 

A large proportion of arrestees was accounted for by the 
younger segment of the population. In 1986, 58 percent of 
all persons arrested for this offense were under 21 years of 
age, and those under age 18 comprised 39 percent of the 
total. From 1985, arrests of persons under age 18 were up 19 
percent, with arrests of males in this age group up 20 
percent and those of females up 14 percent. 

Total motor vehicle theft arrests were up 15 percent and 
adult arrests rose 13 percent in 1986 over the previous year. 
Overall arrests were 22 percent higher in 1986 than in 1982 
and 4 percent above the 1977 level. 



ARSON 
DEFINITION 



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

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



'olume 

In 1986, 110,732 arson offenses were recorded by 12,599 
iw enforcement agencies furnishing from 1 to 1 2 months of 
sports. Of these agencies, 12,464 provided the detailed 
lformation — type of structure, estimated monetary value of 
le property damaged, etc. — from which the tables on the 
ccompanying pages were tabulated. Further information 
jgarding arson offenses and trends is presented in Tables 6 
irough 13 and arson clearances in Tables 20 through 23. 
ince only 9,345 agencies covering 78 percent of the United 
tates population submitted reports for all 12 months of the 
ear, the data user should be aware that, while conservative 
idicators, the figures do not represent the Nation's total 
rson experience. 



rend 



Arson offenses rose 6 percent nationally and in cities from 
985 to 1986. Trend figures also showed upswings of 4 
ercent in the suburban counties and 8 percent in the rural 
ounties. Regionally, arson increased 10 percent in the 
lidwest and was up 8 percent in the South. The West and 
lortheast declined 3 and 2 percent respectively. 

By property type, those arsons in which structures were 
le targets increased 1 percent nationally. Arsons of mobile 
roperty were up 15 percent, and those of all other property 
ecreased 6 percent. 

Caution is recommended when viewing arson trend 
lformation. The percent change figures may have been 
lfluenced by improved arson reporting procedures during 
tie collection's relatively limited timespan. It is expected 
lat year-to-year statistical comparability will improve as 
ollection continues. 



tate 



Since population coverage for arson data is lower than for 
tie other Crime Index offenses, arson rates per 100,000 
lhabitants are tabulated independently. Based only on 
gures from law enforcement agencies supplying 12 months 
f statistics for all Index crimes, including arson, the 1986 
ates are shown in the accompanying table. 

The rates ranged from 120 per 100,000 inhabitants in 
ities with populations over 1 million to 26 per 100,000 rural 
ounty inhabitants. The suburban counties and all cities 
ollectively recorded rates of 41 and 61 per 100,000 
lhabitants, respectively. Overall, the 1986 national arson 
ate was 53 per 100,000 population. 

Regionally, the highest arson rate was registered in the 
Vestern States with 64 offenses per 100,000 population. 
•bllowing were the Northeastern States with a rate of 58 per 
00,000, the Midwestern States with 48 per 100,000, and the 
louthern States with 46 per 100,000 inhabitants. 



Arson Rate, Population Group, 1986 



[9,345 agencies; 1986 estimated population 
Rate per 100,000 inhabitants] 


188,970,000: 


Group 


Rate 


Total 


52.9 


Total cities 


60.9 






(cities 1,000,000 and over) 


119.6 


(cities 250,000 to 499,999) 


88.3 


Group III (cities 50.000 to 99,999) 


48.7 



























Nature 

As in previous years, structures were the most frequent 
target of arsonists in 1986 and comprised 55 percent of the 
reported incidents. Twenty-eight percent of the arsons were 
directed at mobile property (motor vehicles, trailers, etc.), 
while other types of property (crops, timber, etc.) accounted 
for 17 percent. 

Arson, Type of Property, 1986 

[12,464 agencies; 1986 estimated population 192,650,000] 



Property classification 


Number 

of 
offenses 


Percent 
distribution 




87,585 










47.846 
20,497 
8,096 
4,980 
756 
5,909 
4,737 
2,871 

24,485 
22,578 
1,907 

15,254 




Single occupancy residential 


23.4 




5.7 






Communitv/nublic 




Other structure 

























Residential property was involved in 60 percent of the 
structural arsons during the year, with 43 percent of such 
offenses directed at single-occupancy dwellings. Seventeen 
percent of all targeted structural property was either 
uninhabited or abandoned at the time the arson occurred. 

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



37 



Arson, Structures Not in Use, 1986 



[12,464 agencies; 1986 estimated 


populatio 


n 192,650,000] 






Type of structure 


Number 

of 
offenses 


Percent 




47,846 












Single occupancy residenlial 


20,497 
8,096 
4,980 
756 
5,909 
4,737 
2,871 


















Industrial/manufacturing 














Community/public 


7.4 







The estimated value of property damaged due to reported 
arsons during 1986 totaled $1.2 billion, and the average loss 
per incident was $13,198. The overall average for all types of 
structures was $21,969. While industrial/manufacturing 
property showed the lowest number of structural incidents, 
it registered the highest average loss — $64,868. Mobile 
properties averaged $3,651 per incident, and other targets 
averaged $1,009. 



Clearances 

During 1986, the national arson clearance rate was 15 
percent. Rural county agencies showed the highest rate, 
clearing 20 percent of the arson offenses brought to their 
attention. Suburban counties cleared 18 percent; and city 
law enforcement agencies, 14 percent. 

Regionally, the Southern States reported a clearance rate 
of 20 percent; the Western States, 15 percent; the 
Midwestern States, 1 3 percent; and the Northeastern States, 
12 percent. 

Arson clearances demonstrated a higher percentage of 
juvenile involvement than any other Index crime. Only 
young people under age 18 were the arrestees in 35 percent 
of all arson clearances, as well as for those of structural 
arsons. Persons in this age group accounted for 20 percent 
of the clearances for arsons of mobile property and 55 
percent of arsons of all other property. 



Arson, Monetary Value of Property Damaged, 1986 

[12,464 agencies; 1986 estimated population 192,650,000] 



Property classification 


Number 

of 
offenses 


Average 




87,585 


$13,198 






Total stru 


47,846 
20,497 
8,096 
4,980 
756 
5,909 
4,737 
2,871 

24,485 
22,578 
1,907 

15,254 




Sinele oc< -v residential 




Oth 1 tial 




Storage 

Industrial/manufacturing 


45,258 
64,868 


Communitv/Dublic 




Other structure 


13,790 






Motor vehi 1 s 




Other mobile 













Offenses Cleared by Arrest, 1 1986 



,464 agencies 2 ; 1986 estimated 


populatio 


n 192,650,000 






Property classification 


Number 

of 
offenses 


Percent 

by arrest 




87,585 












al structure 

ingle occupancy residential 
Dther residential 


47,846 
20,497 
8,096 
4,980 
756 
5,909 
4,737 
2,871 

24,485 
22,578 
1,907 

15,254 


22.5 
22.8 
24.7 


























Dther mobile 


14.1 
17.2 



Includes offenses cleared by exceptional means. 

: The number of agencies used in this table is lower than the number used in 
)les 20-23. To be included in this table, it was necessary that arson clearances be 
orted by property classification. 

By population grouping, juveniles were the offenders in 
percent of the city arson clearances, 34 percent of those 
suburban counties, and 23 percent of those in the rural 

unties. 



son Offenses Cleared by Arrest of Persons under 18 Years 
Age, 1986 



Property classification 


Total 
clearances 


Percent 
under 18 




15,900 










10,772 
4,675 
1.999 

923 

114 

971 
1,620 

470 

2,498 
2,229 
269 

2,630 




























3ther structure 

al mobile 


46.0 
19.8 


Jther mobile 


31.6 







The accompanying tables show clearance data only for 
those 12,464 law enforcement agencies which were able to 
furnish breakdowns by type for the structural and mobile 
classifications. As can be seen, the highest clearance rate (34 
percent) was recorded for offenses in which community or 
public structures were involved, while the lowest (10 
percent) was registered for motor vehicles. 
Persons Arrested 

The estimated number of arrests for arson during 1986 
totaled 18,700. Forty percent of the arrestees were under 18 
years of age and 63 percent were under 25. Males comprised 
86 percent of all arson arrestees. 

Seventy-five percent of those arrested were white, 24 
percent were black, and the remainder were of other races. 
Eight percent of the arrestees were Hispanic. 

Trends for 1985 versus 1986 show arson arrests down 3 
percent nationwide. They decreased 4 percent in the 
Nation's cities, while those in the rural counties increased 4 
percent. The volume of arson arrests in the suburban 
counties showed no change. 

Arrests of persons under the age of 1 8 decreased 6 percent 
from 1985 to 1986; however, adult arrests showed virtually 
no change nationwide. During the same period, male arrests 
for arson were down 3 percent and female arrests, up 2 
percent. 

The 1986 arson arrest total for all ages decreased 7 
percent from the 1982 level but was up 1 percent from the 
1977 total. 



'includes offenses cleared by exceptional me 
2 The number of agencies used in this table 

lies 20-23. To be included in this table, it wi 

orted by property classification. 



39 



CRIME INDEX TABULATIONS 



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

Although the total number of crimes occurring 
throughout the Nation is unknown, information on those 
reported to law enforcement gives a reliable indication of 
criminal activity. In reviewing the tables in this report, it 
must be remembered, however, that many factors can cause 
the volume and type of crime to vary from place to place. 
Even though population, one of these factors, is used in 
computing crime rates, all communities are affected to some 
degree by seasonal or transient populations. The populations 
of jurisdictions with a large influx of day workers, tourists, 
or shoppers, for example, may be greatly inflated during 
given time periods. Since counts of current, permanent 



population are used in their construction, crime rates do not 
account for these short-term population variables. A further 
discussion of various factors contributing to the amount of 
crime in a given area is shown on page v of this publication. 

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

Note 

The collection of statistics on arson as a Crime Index 
offense began in 1979. However, 1986 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. 



•ime Index Total 

The Crime Index total rose 6 percent to 13.2 million 
Fenses in 1986, the highest total since 1981. Five- and 10- 
ar percent changes showed the 1986 total was 2 percent 
ove the 1982 level and 20 percent higher than in 1977. 

All offenses comprising the Index increased in number 
>m 1985 to 1986. Overall violent crime was up 12 percent 
th murder and robbery both rising 9 percent; forcible 
pe, 3 percent; and aggravated assault, 15 percent. 

The number of property crimes increased 6 percent for 
e 2-year period. Burglary and larceny-theft each increased 
percent, while motor vehicle theft rose 11 percent. 



Considering 5- and 10-year timeframes, the 1986 violent 
and property crime totals each showed increases over the 
1982 figures. Violent crime was up 13 percent and property 
crime, 1 percent. Compared to 1977, the 1986 violent crime 
was up 45 percent and property crime, 18 percent. 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, 1977-1986." 
Crime rates relate the incidence of reported crime to 
population. 

Table 2, "Index of Crime, United States, 1986," 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. 



ble 1. — Index of Crime, United States, 1977-1986 






















Population' 


S 


Modified 
total' 


Violent 


•B 


Murder 
negligent 
slaughter 


Forcible 


Robbery 


Aggra- 


Burglary 


theft 


theft 


*- 


Tiber of offenses: 


























977-216.332,000 


10,984,500 




1,029,580 


9,955,000 


19,120 


63,500 


412,610 


534.350 


3.071,500 


5,905,700 


977.700 




978-218.059.000 


11,209,000 




1,085,550 


10,123,400 


19,560 


67,610 


426,930 


571,460 


3,128,300 


5.991,000 


1,004,100 




979-220.099,000 .. 


12,249.500 




1.208,030 


11,041,500 


21,460 


76,390 


480,700 


629,480 


3,327,700 


6.601,000 


1,112,800 




980-225.349,264 


13.408,300 




1,344,520 


12,063,700 


23,040 


82,990 


565,840 


672,650 


3,795,200 


7,136,900 


1,131,700 




981-229.146,000 


13,423,800 




1,361,820 


12,061,900 


22,520 


82,500 


592,910 


663,900 


3.779,700 


7,194,400 


1,087,800 




982-231.534,000 


12,974,400 




1,322,390 


11,652,000 


21,010 


78,770 


553,130 


669,480 


3,447,100 


7,142,500 


1,062,400 




983-233,981.000 


12,108,600 




1,258,090 


10,850.500 


19,310 


78,920 


506,570 


653,290 


3,129,900 


6.712,800 


1.007,900 




984-236,158.000 


11.881,800 




1,273,280 


10,608,500 


18,690 


84,230 


485,010 


685,350 


2,984.400 


6.591,900 


1,032,200 




985-238,740.000 


12,430.400 




1,327,770 


11,102,600 


18,980 


87,670 


497,870 


723,250 


3.073,300 


6,926,400 


1,102,900 




986-241,077.000 


13,210,800 




1,488,140 


11,722,700 


20,610 


90,430 


542,780 


834,320 


3,241,400 


7,257,200 


1,224,100 




:ent change; number of offenses: 


























986/1985 


+6.3 




+ 12.1 


+ 5.6 


+ 8.6 


+3.2 


+9.0 


+ 15.4 


+5.5 


+4.8 


+ 11.0 




986/1982 


+ 1.8 




+ 12.5 


+.6 


-1.9 


+ 14.8 


-1.9 


+24.6 


-6.0 


+ 1.6 


+ 15.2 




986/1977 


+20.3 




+44.5 


+ 17.8 


+7.8 


+42.4 


+31.5 


+56.1 


+5.5 


+22.9 


+25.2 




e per 100.000 inhabitants: 


























977 


5,077.6 




475.9 


4,601.7 


8.8 


29.4 


190.7 


247.0 


1,419.8 


2,729.9 


451.9 




978 


5,140.3 




497.8 


4,642.5 


9.0 


31.0 


195.8 


262.1 


1,434.6 


2,747.4 


460.5 




979 


5,565.5 




548.9 


5,016.6 


9.7 


34.7 


218.4 


286.0 


1,511.9 


2,999.1 


505.6 




980 


5,950.0 




596.6 


5,353.3 


10.2 


36.8 


251.1 


298.5 


1.684.1 


3,167.0 


502.2 




981 . 


5,858.2 




594.3 


5.263.9 


9.8 


36.0 


258.7 


289.7 


1,649.5 


3,139.7 


474.7 




982 


5,603.6 




571.1 


5,032.5 


9.1 


34.0 


238.9 


289.2 


1,488.8 


3,084.8 


458.8 




983 


5.175.0 




537.7 


4,637.4 


8.3 


33.7 


216.5 


279.2 


1,337.7 


2,868.9 


430.8 




984 


5.031.3 




539.2 


4.492.1 


7.9 


35.7 


205.4 


290.2 


1,263.7 


2,791.3 


437.1 




985 . 


5,206.7 




556.2 


4,650.5 


7.9 


36.7 


208.5 


302.9 


1.287.3 


2.901.2 


462.0 




986 


5,479.9 




617.3 


4,862.6 


8.6 


37.5 


225.1 


346.1 


1,344.6 


3,010.3 


507.8 




XM change; rate per 100.000 inhabitants: 


























986/1985 


+ 5.2 




+ 11.0 


+4.6 


+8.9 


+2.2 


+8.0 


+ 14.3 


+4.5 


+3.8 


+9.9 




986/1982 


-2.2 




+ 8.1 


-3.4 


-5.5 


+ 10.3 


-5.8 


+ 19.7 


-9.7 


-2.4 


+ 10.7 




986/1977 


+7.9 




+29.7 


+5.7 


-2.3 


+27.6 


+ 18.0 


+40.1 


-5.3 


+ 10.3 


+ 12.4 





and are subject to change. 



Populations are Bureau of the Census provisional estimates as of July 1, except April 1. 1980. preliminary cen: 
2 Because of rounding, the offenses 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. 
4 Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault Property crimes are offenses of burglary. Iarcen>-theft, 
included for the property crime of arson. 
All rates were calculated on the offenses before rounding. 



vehicle theft. Data 



Provided in Table 3, "Index of Crime, Regional Offense 
d Population Distribution, 1986," are data showing the 
ographical distribution of estimated Index crimes and 
pulation. When utilizing figures presented on a regional 
sis in this publication, the reader is cautioned to consider 



each region's proportion of the total United States 
population. For example, while the Southern States 
accounted for the largest volume of Crime Index offenses in 
1986, they also represented the greatest regional population. 



41 



Table 2. — Index of Crime, United States, 1986 



*. 


— 


E£ 


Modified 
tolal ; 


Violent 


Property 


Murder 
negligent 


Forcible 


Robbery 


Aggra- 


Burglary 


theft 


theft 






241,077,000 


13,210,844 

5,479.9 




1,488,144 

617.3 


11,722,700 

4.862.6 


20,613 

8.6 


90,434 

37.5 


542,775 
225.1 


834,322 

346.1 


3,241,410 

1,344.6 


7,257,153 
3.010.3 


1,224,137 

507.8 




Rate per 100,000 
inhabitants 




Metropolitan 


184,130,425 

98.1% 
100.0% 

22,891,469 

94.0% 
100.0% 

34,056,106 

89.4% 
100.0% 


11,354,016 
11,482,370 

6,236.0 

1,031,496 
1.097,216 

4.793.1 

579,263 
631,258 

1.853.6 




1,338,831 
1,348,327 

732.3 

75,047 
80.109 

350.0 

53,966 
59,708 

175.3 


10,015,185 
10,134,043 

5,503.7 

956,449 
1,017,107 

4.443.2 

525,297 
571,550 

1.678.3 


17,528 
17,644 

9.6 

1,077 
1.154 

5.0 

1,588 
1,815 

5.3 


78,614 
79,322 

43.1 

4,735 
5,037 

22.0 

5,566 
6.075 

17.8 


524.355 
526,550 

286.0 

10,395 
11,160 

48.8 

4,581 
5,065 

14.9 


718,334 
724,81! 

393.6 

58,840 
62,758 

274.2 

42.231 
46.753 

137.3 


2,750,912 
2,780,950 

1,510.3 

224,716 
239,368 

1,045.7 

202,985 
221,092 

649.2 


6,135,190 
6,212,875 

3,374.2 

687,229 
730,503 

3,191.2 

288,783 
313,775 

921.3 


1,129.083 
1,140,218 

619.2 

44,504 
47.236 

206.3 

33,529 
36,683 

107.7 




Area actually reporting 4 

Estimated totals 

Rate per 100,000 
inhabitants 




Area actually reporting* 

Estimated totals 

Rate per 100,000 
inhabitants 




Area actually reporting 4 




Rate per 100,000 











Populations are Bureau of the Census provisional estimates as of July 1, 1986, 

-'Although arson data are included in the trend and clearance tables, sufficient 

^Violent crimes are offenses of murder, forcible rape, robbery, and aggravated i 
not included for the property crime of arson. 

*The percentage representing area actually reporting will not coincide with the ratio between reported and estimated 
calculations for individual states which have varying populations, portions reporting, and crime rates. 



I are subject to change, 
are not available to estimate totals 
It. Property crimes are offenses of t 



theft Data i 
sum of the 



Table 3. — Index of Crime, Regional Offense and Population Distribution, 1986 



.„„ 


Population 


total 


Modified 


E? 


W 


Murder 
negligent 
slaughter 


Forcible 
rape 


— 


Aggra- 


Burglary 


theft 


theft 


At 




100.0 


100.0 




100.0 


100.0 


100.0 


100.0 


100.0 


100.0 


100.0 


100.0 


100.0 








Northeastern States 


20.7 
24.6 
34.4 
20.2 


17.9 
21.7 
35.9 
24.5 




21.2 
20.4 
34.7 
23.8 


17.5 
21.9 
36.0 
24.6 


16.6 

42.5 
21.8 


15.6 
23.2 
37.2 
23.9 


27.5 
19.5 
30.5 
22.5 


17.7 
20.6 
36.9 

24.7 


16.1 
19.8 
39.0 
25.1 


17.0 
22.8 

35.5 
24.6 


24 
21.7 
31.0 
23.3 




Southern States 









^Although arson data arc included in the irend and clearance tables, sufficient data are not available 
: Violent cnmes are offenses of murder, forcible rape, robbery, and aggravated assault Property crimes 
not included for the property cnme of arson. 

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



42 



+ 20 
+ 10 

- 10 
-20 



CRIME INDEX TOTAL 

NUMBER OF OFFENSES KNOWN UP 2% 

RATE PER 100,000 INHABITANTS DOWN 2% 










--^.^ 






■ 











1982 



1983 



1984 



1985 



1986 



Table 4. — Index of Crime: Region, 


Geographic Division, and State, 1985-1986 






















Cnme Index total 


Modified Crime 






Murder and non 
negligent manslaug 






Population 1 




























Number 


100,000 


Number 


*oo,ooo 


Number 


100.000 


Number 


100.000 


Number 


fr«i.i 


United States Total 4 


1985 


238,740,000 


12,430,357 


5,206.7 






1,327,767 


556.2 


ll,102,59fj 


4,650.5 


18,976 






1986 


241,077,000 


13,210,844 


5,479.9 






1,488,144 


617.3 


1 1.722.70C 


4,862.6 


20,613 




Percent change 






+6.3 


+5.2 






+ 12.1 


+ 11.0 


+5.6 


+4.6 


+8.6 










Northeast 


1985 


49,859,000 


2,307,124 


4,627.3 






297,369 


596.4 


2,009,755 


4,030.9 


3,064 






1986 


50,018.000 


2,366.805 


4,731.9 






314,753 


629.3 


2,052,052 


4,102.6 


3,412 




Percent change 






+2.6 


+2.3 






+5.8 


+5.5 


+2.1 


+1.8 


+11.4 


+ 


New England 


1985 


12,660.000 


568,046 


4,486.9 






51,592 


407.5 


516,454 


4,079.4 


424 






1986 


12,737,000 


573,603 


4,503.4 






53,291 


418.4 


520,312 


4,085.0 


447 




Percent change 






+ 1.0 








+3.3 


+2.7 


+.7 


+ .1 


+5.4 




Connecticut 


1985 


3,174,000 


149,330 


4,704.8 






12,758 


402.0 


136,572 


4,302.8 


120 






1986 


3,189,000 


153,989 


4.828.8 






13,578 


425.8 


140,411 


4.403.0 


148 




Percent change 






+3.1 


+2.6 






+6.4 


+5.9 


+2.8 


+2.3 


+23.3 


+ 


Maine 


1985 


1,164,000 


42,739 


3,671.7 






1,950 


167.5 


40,789 


3,504.2 


28 






1986 


l,174,OOC 


40,635 


3,461.2 






1,726 


147.0 


38,909 


3,314.2 


23 




Percent change 






-4.9 


-5.7 






-11.5 


-12.2 


-4.6 


-5.4 


-17.9 


- 


Massachusetts 


1985 


5,822,000 


276,999 


4,757.8 






31,334 


538.2 


245,665 


4,219.6 


202 






1986 


5,832,000 


275,465 


4,723.3 






32,476 


556.9 


242,989 


4,166.5 


208 




Percent change 






-.6 


-.7 






+ 3.6 


+3.5 


-1.1 


-1.3 


+3.0 




New Hampshire 


1985 


998,000 


32,454 


3,251.9 






1,405 


140.8 


31,049 


3.111.1 


21 






1986 


1,027,000 


34,200 


3,330.1 






1,433 


139.5 


32.767 


3,190.6 


23 




Percent change 






+ 5.4 


+2.4 






+2.0 


-.9 


+5.5 


+2.6 


+9.5 




Rhode Island 


1985 


968,000 
975,000 


45,723 
47,799 


4.723.5 
4,902.5 






3,355 
3,271 


346.6 
335.5 


42,368 
44,528 


4,376.9 
4,567.0 


35 
34 








Percent change 






+4.5 


+3.8 






-2.5 


-3.2 


+5.1 


+4.3 


-2,9 




Vermont 


1985 


535,000 


20,801 


3,888.0 






790 


147.7 


20,01 1 


3,740.4 


18 






1986 


541,000 


21,515 


3,976.9 






807 


149.2 


20,708 


3,827.7 


11 




Percent change 






+3.4 


+2.3 






+2.2 


+ 1.0 


+ 3.5 


+2.3 


-38.9 


" 


Middle Atlantic 


1985 


37,199,000 


1,739,078 


4,675.1 






245,777 


660.7 


1,493,301 


4,014.4 


2.640 






1986 


37,281.000 


1.793,202 


4,810.0 






261,462 


701.3 


1,531,740 


4,108.6 


2.965 




Percent change 






+3.1 


+2.9 






+6.4 


+6.1 


+2.6 


+2.3 


+ 12.3 


+ 


New Jersey 


1985 


7,562,000 


385,239 


5,094.4 






41.172 


544.5 


344,067 


4.549.9 


407 






1986 


7,620,000 


399,387 


5,241.3 






43,623 


572.5 


355,764 


4,668.8 


399 




Percent change 






+3.7 


+2.9 






+6.0 


+ 5.1 


+3.4 


+2.6 


-2.0 




New York 


1985 


17,783,000 


993,811 


5,588.5 






165,365 


929.9 


828,446 


4,658.6 


1,683 






1986 


17,772,000 


1,025,037 


5.767.7 






175,210 


985.9 


849,827 


4,781.8 


1.907 




Percent change - 






+3.1 


+ 3.2 






+6.0 


+6.0 


+2.6 


+2.6 


+ 13.3 


+ 


Pennsylvania 


1985 


11,853,000 


360,028 


3,037.4 






39,240 


331.1 


320,788 


2,706.4 


550 






1986 


11,889,000 


368,778 


3.101.8 






42,629 


358.6 


326.149 


2.743.3 


659 




Percent change 






+2.4 


+2.1 






+8.6 


+8.3 


+ 1.7 


+ 1.4 


+ 19.8 


* 



S<.-e footnotes at end of table. 



ble 4. - 


■ Index of Crime: Region, Geographic Division, and State, 1985-1986 














Forcible rape 


Robbery 


Aggravated assault 


Burglary 


Larcenytheft 


Motor veh,cle theft 


W 


dumber 


Rate per 

100.000 


Number 


100.000 


Number 


100.000 


Number 


100,000 


Number 


WOO? 


Number 


Rate per 
100.000 


Number 


100,000 


87,671 


36.7 


497,874 


208.5 


723,246 


302.9 


3,073,348 


1,287.3 


6,926,380 


2,901.2 


1,102,862 


462.0 






90,434 


37.5 


542,775 


225.1 


834,322 


346.1 


3,241,410 


1,344.6 


7,257,153 


3,010.3 


1,224,137 


507.8 






+3.2 


+2.2 


+9.0 


+8.0 


+15.4 


+14.3 


+5.5 


+4.5 


+4.8 


+3.8 


+ 11.0 


+9.9 






14,227 


28.5 


145,207 


291.2 


134,871 


270.5 


523,599 


1,050.2 


1,215,024 


2,436.9 


271,132 


543.8 






14,143 


28.3 


149,133 


298.2 


148,065 


296.0 


521,550 


1,042.7 


1,236,788 


2,472.7 


293,714 


587.2 






-.6 


-.7 


+2.7 


+2.4 


+9.8 


+9.4 


-.4 


-.7 


+1.8 


+ 1.5 


+8.3 


+8.0 






3,211 


25.4 


18,790 


148.4 


29,167 


230.4 


136,626 


1,079.2 


304,374 


2,404.2 


75,454 


596.0 






3,213 


25.2 


19,215 


150.9 


30,416 


238.8 


135,583 


1,064.5 


305,488 


2,398.4 


79,241 


622.1 






+.1 


-.8 


+2.3 


+ 1.7 


+4.3 


+3.6 


-.8 


-1.4 


+.4 


-.2 


+ 5.0 


+4.4 






763 


24.0 


6,032 


190.0 


5,843 


184.1 


36,041 


1,135.5 


86,524 


2,726.0 


14,007 


441.3 






760 


23.8 


6,129 


192.2 


6,541 


205.1 


38,190 


1,197.6 


87,963 


2,758.3 


14,258 


447.1 






-.4 


-.8 


+ 1.6 


+ 1.2 


+ 11.9 


+ 11.4 


+6.0 


+5.5 


+ 1.7 


+ 1.2 


+ 1.8 


+ 1,3 






167 


14.3 


284 


24.4 


1,471 


126.4 


10,607 


911.3 


28,260 


2,427.8 


1,922 


165.1 






174 


14.8 


328 


27.9 


1,201 


102.3 


9,433 


803.5 


27,548 


2,346.5 


1,928 


164.2 






+4.2 


+3.5 


+ 15.5 


+ 14.3 


-18.4 


-19.1 


-11.1 


-11.8 


-2.5 


-3.3 


+ 3 


-.5 






1.734- 


29.8 


10,974 


188.5 


18,424 


316.5 


65,231 


1,120.4 


130,088 


2,234.4 


50,346 


864.8 






1,731 


29.7 


11,239 


192.7 


19,298 


330.9 


62,455 


1,070.9 


127,668 


2,189.1 


52,866 


906.5 






-.2 


-.3 


+2.4 


+2.2 


+4.7 


+4.5 


-4.1 


-4.4 


-1.9 


-2.0 


+5.0 


+4.8 






191 


19.1 


266 


26.7 


927 


92.9 


7,608 


762.3 


21,459 


2,150.2 


1,982 


198.6 






221 


21.5 


242 


23.6 


947 


92.2 


7,754 


755.0 


22,675 


2,207.9 


2,338 


227.7 






+ 15.7 


+ 12.6 


-9.0 


-11.6 


+2.2 


-.8 


+ 1.9 


-1.0 


+5.7 


+2.7 


+ 18.0 


+ 14.7 






253 


26.1 


1,122 


115.9 


1.945 


200.9 


11,929 


1,232.3 


24,119 


2,491.6 


6,320 


652.9 






209 


21.4 


1,157 


118.7 


1,871 


191.9 


12,616 


1,293.9 


25,041 


2,568.3 


6.871 


704.7 






-17.4 


-18.0 


+3.1 


+2.4 


-3.8 


-4.5 


+ 5.8 


+5.0 


+3.8 


+3.1 


+8.7 


+7.9 






103 


19.3 


112 


20.9 


557 


104.1 


5,210 


973.8 


13,924 


2,602.6 


877 


163.9 






118 


21.8 


120 


22.2 


558 


103.1 


5.135 


949.2 


14,593 


2,697.4 


980 


181.1 






+ 14.6 


+ 13.0 


+7.1 


+6.2 


+.2 


-1.0 


-1.4 


-2.5 


+4.8 


+3.6 


+ 11.7 


+ 10.5 






11,016 


296 


126,417 


339.8 


105,704 


284.2 


386,973 


1,040.3 


910,650 


2,448.0 


195,678 


526.0 






10,930 


29.3 


129,918 


348.5 


117,649 


315.6 


385,967 


1,035.3 


931,300 


2,498.1 


214,473 


575.3 






-.8 


-1.0 


+2.8 


+2.6 


+ 11.3 


+ 11.0 


-.3 


-.5 


+ 2.3 


+2.0 


+9.6 


+9.4 






2,424 


32.1 


19,282 


255.0 


19,059 


252.0 


79,923 


1,056.9 


213,907 


2,828.7 


50,237 


664.3 






2,531 


33.2 


20,473 


268.7 


20,220 


265.4 


81,595 


1,070.8 


215,073 


2,822.5 


59,096 


775.5 






+4.4 


+3.4 


+6.2 


+ 5.4 


+6.1 


+5.3 


+2.1 


+ 1.3 


+ .5 


-.2 


+ 17.6 


+ 16.7 






5,706 


32.1 


89,706 


504.4 


68,270 


383.9 


219,633 


1,235.1 


502,276 


2,824.5 


106,537 


599.1 






5,415 


30.5 


91,360 


514.1 


76,528 


430.6 


217,010 


1,221.1 


519,570 


2,923.5 


113,247 


637.2 






-5.1 


-5.0 


+ 1.8 


+ 1.9 


+ 12.1 


+ 12.2 


-1.2 


-1.1 


+3.4 


+3.5 


+6.3 


+6.4 






2,886 


24.3 


17,429 


147.0 


18,375 


155.0 


87,417 


737.5 


194,467 


1,640.7 


38,904 


328.2 






2,984 


25.1 


18,085 


152.1 


20.901 


175.8 


87,362 


734.8 


196,657 


1.654.1 


42,130 


354.4 






+3.4 


+3.3 


+3.8 


+3.5 


+ 13.7 


+ 13.4 


1 


-" 


+ 1.1 


+.8 


+8.3 


+8.0 







45 



Table 4. — Index of Crime: Region, Geographic Division, and State, 1985-1986 — Continued 



Cnme Index total 



Percent change 
Michigan 

Percent change 
Ohio 

Percent change 

Wisconsin 

Percent change 



West North Central 

Percent change 

Percent change 

Kansas 

Percent change 
Minnesota 

Percent change 

Missouri 

Percent change 
Nebraska 

Percent change 
North Dakota 

Percent change 
South Dakota 

Percent change 

See footnotes at end of table 



2,757,340 

2,866,381 

+4.0 

2,047,135 

2,111,232 

+ 3.1 



46X.647 

+4.2 

191,798 

196.031 



710.205 
755,149 
+6.3 
113,713 
118,336 



4,657 
4,832.5 

+3.7 
4,916. 
5,058.3 

+2.9 



6,366.3 

6.491.5 

+2.0 

4,187.3 

4,358.7 



+6.2 
3.942.9 
4,150.7 

+ 5.3 
4.375 
4.822.6 



HO 2 



272,062 

302,989 

+11.4 

216,058 
240,482 
+ 11.3 
81,450 
92,429 
+ 13.5 
17,014 
16,937 
-.5 



6,106 
6,703 
+9.8 
8,716 
9.076 



3,821 
4,196 
+9.8 



206.S 
257.9 
+24.6 



1.831,077 

1.870,750 

+2.2 

530,205 

548,311 

+ 3.4 

198,220 

195,233 

-1.5 

511,852 



654,201 

692,642 

+5.? 

107,607 

111,633 

+3.7 

98,474 

109,607 

+ 11.3 

162.597 

171,832 

+ 5.7 

194,247 

206,463 

+6.3 

55,514 

57,418 

+ 3.4 

18.032 

17,343 

-3.8 

17.730 

18,346 

+3.5 



4,198.3 

4,321.7 

+2.9 

4,397.2 
4,482.1 

+1.9 
4,596.5 
4,746.0 

+ 3.3 
3,604.7 
3,547.1 



3,726.( 
3,940.6 
+ 5.7 
3,731.2 
3,915.6 



+5.5 
3,456.7 
3,593.1 

+3.9 
2.632.4 
2,554.2 

-3.C 
2,504.2 
2,511 2 



3,693 
3,941 
+6.7 

2,953 
3,128 
+5.9 



Me 4. - 


- Index of Crime: Region, Geographic Division, and State, 1985-1986 — Continued 












Forcible rape 


Robbery 


Aggravated assault 


Burglary 


Larceny-theft 


Motor vehicle theft 


AW 


dumber 


100,000 


Number 


Rate per 

ioo.ooo 


Number 


100,000 


Number 


100.000 


Number 


100,000 


Number 


100.000 


Number 


Rate per 

100.000 


20,216 


34.2 


97,492 


164.7 


150,661 


254.5 


631,535 


1,066.8 


1,600,722 


2,704.1 


253,021 


427.4 






21,024 


35.4 


105,910 


178.6 


172,114 


290.2 


641,673 


1,081.8 


1,655,942 


2,791.8 


265,777 


448.1 






+4.0 


+3.5 


+8.6 


+8.4 


+14.2 


+ 14.0 


+ 1.6 


+1.4 


+3.4 


+3.2 


+5.0 


+4.8 






15,830 


38.0 


82,409 


197.9 


114,866 


275.8 


463,009 


1,111.9 


1,158,133 


2,781.2 


209,935 


504.1 






16,443 


39,4 


88,853 


212.9 


132,058 


316.4 


466,824 


1,118.5 


1,187,578 


2,845.3 


216,348 


518.3 






+3.9 


+3.7 


+7.8 


+7.6 


+ 15.0 


+ 14.7 


+.8 


+.6 


+2.5 


+2.3 


+ 3.1 


+2.8 






3,531 


30.6 


33,120 


287.1 


43,872 


380.3 


131,015 


1,135.8 


331,030 


2,869.8 


68,160 


590.9 






3.740 


32.4 


37,583 


325.3 


50,083 


433.5 


136,306 


1,179.8 


339,418 


2,937.9 


72,587 


628.3 






+5.9 


+5.9 


+ 13.5 


+ 13.3 


+ 14.2 


+ 14.0 


+4.0 


+3.9 


+2.5 


+2.4 


+6.5 


+6.3 






1,318 


24.0 


5,065 


92.1 


10,312 


187.5 


50,295 


914.6 


129,861 


2,361.5 


18,064 


328.5 






1.424 


25.9 


4,954 


90.0 


10,230 


185.9 


48,802 


886.7 


128,404 


2,332.9 


18,027 


327.5 






+ 8.0 


+7.9 


-2.2 


-2.3 


-.8 


-.9 


-3.0 


-3.1 


-1.1 


-1.2 


-.2 


-.3 






6,140 


67.6 


26,572 


292.4 


32,984 


362.9 


138,792 


1.527.2 


297,827 


3,277.1 


75,233 


827.8 






6,167 


67.4 


27.550 


301.3 


38,768 


423.9 


138,040 


1,509.5 


308,894 


3,377.7 


73,193 


800.4 






+.4 


-.3 


+3.7 


+3.0 


+ 17.5 


+ 16.8 


-.5 


-1.2 


+3.7 


+3.1 


-2.7 


-3.3 






3,966 


36.9 


14.301 


133.1 


22.179 


206.4 


104,920 


976.5 


266,066 


2,476.4 


37,896 


352.7 






4,151 


38.6 


15,283 


142.1 


25,231 


234.7 


106,212 


987.8 


276,779 


2,574.2 


40,396 


375.7 






+4.7 


+4.6 


+6.9 


+6.8 


+ 13.8 


+ 13.7 


+ 1.2 


+ 1.2 


+4.0 


+3.9 


+6.6 


+6.5 






875 


18.3 


3,351 


70.2 


5,519 


115.6 


37,987 


795.5 


133,349 


2.792.6 


10,582 


221.6 






961 


20.1 


3,483 


72.8 


7,746 


161.9 


37,464 


782.9 


134,083 


2,802.2 


12.145 


253.8 






+9.8 


+9.8 


+3.9 


+3.7 


+40.4 


+40.1 


-1.4 


-1.6 


+ .6 


+ .3 


+ 14.8 


+ 14.5 






4,386 


25.0 


15,083 


85.9 


35,795 


203.9 


168,526 


960.0 


442,589 


2,521.2 


43,086 


245.4 






4,581 


26.1 


17,057 


97.0 


40,056 


227.9 


174,849 


994.8 


468,364 


2,664.6 


49,429 


281.2 






+4.4 


+4.4 


+ 13.1 


+ 12.9 


+ 11.9 


+ 11.8 


+3.8 


+ 3.6 


+5.8 


+5.7 


+ 14.7 


+ 14.6 






363 


12.6 


1,187 


41.2 


4,501 


156.1 


26,349 


913.6 


76,835 


2,664.2 


4,423 


153.4 






356 


12.5 


1,197 


42.0 


5,099 


178.8 


27,255 


956.0 


79,864 


2,801.3 


4,514 


158.3 






-1.9 




+ .8 


+ 1.9 


+ 13.3 


+ 14.5 


+3.4 


+4.6 


+ 3.9 


+5.1 


+2.1 


+3.2 






719 


29.3 


1,929 


78.7 


5,947 


242.7 


25,740 


1,050.6 


67,433 


2,752.4 


5,301 


216.4 






810 


32.9 


1,958 


79.6 


6.200 


251.9 


29,229 


1,187.7 


74,029 


3,008.1 


6,349 


258.0 






+ 12.7 


+ 12.3 


+ 1.5 


+ 1.1 


+4.3 


+3.8 


+ 13.6 


+ 13.0 


+9.8 


+9.3 


+ 19.8 


+ 19.2 






1,242 


29.6 


3,598 


85.8 


5,823 


138.9 


42,663 


1,017.5 


108,954 


2,598.5 


10,980 


261.9 






1,338 


31.8 


4,299 


102.0 


6,249 


148.3 


42,319 


1,004.2 


117,371 


2,785.3 


12,142 


288.1 






+7.7 


+7.4 


+ 19.5 


+ 18.9 


+7.3 


+6.8 


-.8 


-1.3 


+7.7 


+7.2 


+ 10.6 


+ 10.0 






1,468 


29.2 


7,425 


147.6 


16,019 


318.5 


55,252 


1,098.7 


120,650 


2,399.1 


18,345 


364.8 






1,480 


29.2 


8,624 


170.2 


18.742 


370.0 


57,556 


1,136.1 


126,674 


2,500.5 


22,233 


438.9 






+.8 




+ 16.1 


+ 15.3 


+ 17.0 


+ 16.2 


+4.2 


+ 3.4 


+5.0 


+4.2 


+21.2 


+20.3 






376 


23.4 


779 


48.5 


2,619 


163.1 


11.730 


730.4 


41,278 


2,570.2 


2,506 


156.0 






393 


24.6 


817 


51.1 


2.936 


183.7 


11,956 


748.2 


42,784 


2,677.3 


2,678 


167.6 






+4.5 


+5.1 


+4.9 


+5.4 


+ 12.1 


+ 12.6 


+ 1.9 


+2.4 


+3.6 


+4.2 


+6.9 


+74 






50 


7.3 


44 


6.4 


221 


32.3 


2.925 


427.0 


14,297 


2.087.2 


810 


118.2 






79 


11.6 


47 


6.9 


215 


31.7 


2.615 


385.1 


13,914 


2,049.2 


814 


119.9 






+58.0 


+ 58.9 


+6.8 


+7.8 


-2.7 


-1.9 


-10.6 


-9.8 


-2.7 


-1.8 


+.5 


+ 1.4 






168 


23.7 


121 


17.1 


665 


93.9 


3,867 


546.2 


13,142 


1,856.2 


721 


101.8 






125 


17.7 


115 


16.2 


615 


86.9 


3,919 


553.5 


13,728 


1,939.0 


699 


98.7 






-25.6 


-25.3 


-5.0 


-5.3 


-7.5 


-7.5 


+ 1.3 


+ 1.3 


+4.5 


+4.5 


-3.1 


-3.0 







Table 4. — Index of Crime: Region, 


Geographic Division, and State, 1985-1986 — Continued 
















Year 




Crime Index total 


Modified Crime 
Index total 2 


Violent 


~nme> 


Property 


cnme> 


Murder and non- ' 
negligent manslaughtf 


Area 


Population 


NumKr 


100,000 


Number 


Rate per 
100,000 


Number 


Rate per 
100.000 


Number 


100.000 


Number 


Rale pel 
KlO.OOO 




1985 


81,858,000 


4,302,605 
4,737,997 


5,256.2 
5,709.5 






457,006 
516,005 


558.3 
621.8 


3,845,599 
4,221,992 


4,697.9 

5,087.7 


8,160 

8,760 


10 






P hanse 


1985 




+10.1 

2.162,279 
2.342,072 


+8.6 

5,375.2 
5,724.1 






+12.9 

254,286 
279,966 


+11.4 

632.1 
684.2 


+9.8 

1,907,993 
2,062.106 


+8.3 

4,743.1 
5,039.9 


+7.4 

3,743 
4,014 


+6 




40,227.000 








Percent change 


1985 


622,000 


+8.3 
30,859 


+6.5 
4,961.3 






+ 10.1 
2,695 


+8.2 
433.3 


+8.1 
28,164 


+6.3 
4,528.0 


+7.2 
30 








633,000 


30,584 


4,831.6 






2,703 


427.0 


27,881 








Percent change 


1985 


626,000 


-.9 
50,123 
52,204 


-2.6 
8,006.9 
8,339.3 






+.3 
10,179 
9,423 


-1.5 
1,626.0 
1,505.3 


-1.0 
39,944 
42,781 


-2.7 
6,380.8 
6,834.0 


147 
194 


2. 








1985 
1986 




+4.2 
860,889 
960,664 


+4.2 
7,574.2 
8,228.4 






-7.4 
106,971 
121,013 


-7.4 
941.1 
1,036.5 


+7.1 
753,918 
839,651 


+7.1 
6,633.1 
7,191.9 


+32.0 

1,296 
1,371 


+ 3 


Fl rida g 


1 1,366,000 
11,675,000 


1 






Percent change 


1985 


5.976,000 


+ 11.6 
305,381 
332,999 


+ 8.6 
5,110.1 
5,455.4 






+ 13.1 
30,311 
35,869 


+ 10.1 
507.2 
587.6 


+ 11.4 
275,070 
297,130 


+8.4 
4.602.9 
4.867.8 


620 

686 


11 




1 


Percent change 


1985 
1986 


4..192.000 
4,463,000 


+9.0 
235,973 
250,008 


+6.8 
5,372.8 
5,601.8 






+ 18.3 
36,655 

37,177 


+ 15.9 
834.6 
833.0 


+ 8.0 
199,318 
212,831 


+5.8 
4,538.2 
4,768.8 


+ 10.6 
348 
401 


+ 






Percent change 


1985 
1986 


6,255,000 
6,331,000 


+5.9 
257,792 
274,249 


+4.3 
4,121.4 
4,331.8 






+ 1.4 
26.327 
30,128 


-.2 
420.9 

475.9 


+6.8 
231,465 
244,121 


3,700.5 
3,856.0 


520 
515 


+ 1 


North Car ill 1 1" 








P cent chance 


1985 


3,347,000 


+6.4 
162,013 


+ 5.1 
4,840.5 






+ 14.4 

21.121 


+ 13.1 
631.0 


+ 5.5 
140,892 


4,209.5 


304 


- 










3,378,000 


173,541 


5,137.4 






22,789 


674.6 


150,752 








Percent chance 


1985 


5,706,000 
5,787,000 


+7.1 
215,634 
223,366 


+6.1 
3,779.1 
3,859.8 






+7.9 
16.813 
17,708 


+6.9 
294.7 
306.0 


+7.0 
198,821 
205,658 


+6.0 
3,484.4 
3,553.8 


405 
411 








Percent -hanee 






+ 3.6 


+2.1 






+5.3 


+3.8 


+ 3.4 








West Virginia 


1985 


1,936,000 


43,615 


2,252.8 






3,214 


166.0 


40,401 


2,086.8 






1986 


1,919,000 


44,457 


2,316.7 






3,156 


164.5 










Percent change 






+ 1.9 


+2.8 






-1.8 










+ " 




1985 


15,122,000 


552,077 


3,650.8 






59,453 


393.2 


492,624 


3,257.7 


1,357 






1986 


15,209,000 


594,672 


3.910.0 






68,198 


448.4 










Percent change 


1985 


4,021,000 


+7.7 
158,513 


+7.1 

3,942.1 






+ 14.7 
18,398 


+ 14.0 

457.5 


+6.9 
140,115 


3.484.6 


396 






1986 


4,053,000 


173,807 


4,288.4 






22,616 


558.0 










Percent change 


1985 


3,726.000 
3,728,000 


+9.6 
109,812 

115.277 


+8.8 
2,947.2 
3.092.2 






+22.9 
11.384 
12,467 


+22.0 
305.5 
334.4 


98,428 
102,810 


2,641.7 
2,757.8 


256 
248 






Percent change 


1985 


2,613.000 
2.625,000 


+5.0 
85,333 
87,808 


3,265.7 
3,345.1 






+9.5 
7,079 
7,196 


+9.5 
270.9 
274.1 


+4.5 
78.254 
80,612 


2,994.8 
3,070.9 


276 
295 






Percent change 




4,762,000 


+2.9 
198,419 


4,166.7 






+ 1.7 
22,592 


+ 1.2 

474.4 


+ 3.0 
175.827 


+2.5 
3,692.3 


429 










217.780 


4.534.2 






25,919 


539.6 


191,861 








P h 






+9.8 


+8.8 






+ 14.7 


+ 13.7 


+9.1 


+8.2 










1985 


26,510,000 


1,588,249 


5.991.1 






143,267 


540.4 


1.444,982 


5,450.7 


3.060 










1,801.253 


6.705.S 






167,841 


624.9 










Percent change 




2.359.00C 


+ 13.4 
84,571 


+ 11.9 
3,585.0 






+ 17.2 
8,199 


+ 15.6 
347.6 


+ 13.0 
76,372 


+ 11.6 
3,237.5 


187 








2,372,OOC 


93,094 


3,924.7 






9,365 


394.8 


83,729 








Percent change 




4.481.00C 


+ 10.1 
249,303 


+9.5 
5,563.6 






+ 14.2 
31,108 


+ 13.6 
694.2 


218,195 


4,869.3 


487 








4,501,00C 


273,572 


6,078.0 






34,128 


758.2 










Percent change 






+9.7 
179.080 


+9.2 
5.425.0 






+9.7 
13,930 


+9.2 
422.0 


+97 
165.15C 


+9.3 
5,003.0 


254 


+ 




1986 


3,305,OOC 


198,765 


6,014.1 






14,423 


436.4 


184,342 


5,577.7 






Percent change 




16.370.OOC 


+ 11.0 
1,075,295 


+ 10.9 
6.568.7 






+3.5 
90,030 


+ 3.4 
550.0 


985,26. 


6,018.7 


2,132 




T 








16.682.0OC 


1,235,822 


7,408. 






109,925 


658.9 


1,125,89' 








Percent change 






+ 14.9 


+ 12.8 








+ 19.8 


+ 14.. 


+ 12.1 







le 4.- 


- Index of Crime: Region, Geographic Division, and State, 1985-1986 — Continued 












Forcible rape 


Robbery 


Aggravated assault 


Burglary 


Larceny-theft 


Motor vehicle theft 


Arsorr 


umber 


Rale per 

100.000 


Number 


100.000 


Number 


100.000 


Number 


100,000 


Number 


Rate per 

100,000 


Number 


100.000 


Number 


Rate per 

100.000 


32,401 


39.6 


141,739 


173.2 


274,706 


335.6 


1,127,199 


1,377.0 


2,390,226 


2,920.0 


328,174 


400.9 






33,670 


40.6 


165,547 


199.5 


308.028 


371.2 


1,263,456 


1,522.5 


2,578,661 


3,107.4 


379,875 


457.8 






+3.9 


+2.5 


+ 16.8 


+15.2 


+12.1 


+ 10.6 


+12.1 


+ 10.6 


+7.9 


+6.4 


+15.8 


+ 14.2 






15,707 


39.0 


79,083 


196.6 


155.753 


387.2 


550,010 


1,367.3 


1,214,149 


3,018.2 


143,834 


357.6 






16,425 


40.1 


90.770 


221.8 


168,757 


412.4 


602,885 


1.473.5 


1.292,494 


3,158.9 


166,727 


407.5 






+4.6 


+2.8 


+ 14.8 


+ 12.8 


+8.3 


+6.5 


+9.6 


+7.8 


+6.5 


+4.7 


+ 15.9 


+ 14.0 






296 


47.6 


773 


124.3 


1,596 


256.6 


6,826 


1,097.4 


19,638 


3,157.2 


1,700 


273.3 






360 


56.9 


786 


124.2 


1,526 


241.1 


6,598 


1,042.3 


19,562 


3,090.4 


1,721 


271.9 






+21.6 


+ 19.5 


+ 1.7 


-.1 


-4.4 


-6.0 


-3.3 


-5.0 


-.4 


-2.1 


+ 1.2 


-.5 






337 


53.8 


5.236 


836.4 


4,459 


712.3 


10,008 


1.598.7 


24,911 


3,979.4 


5,025 


802.7 






328 


52.4 


4.720 


754.0 


4,181 


667.9 


10,815 


1.727.6 


25,861 


4,131.2 


6,105 


975.2 






-2.7 


-26 


-9.9 


-9.9 


-6.2 


-6.2 


+8.1 


+8.1 


+3.8 


+3.8 


+21.5 


+21.5 






6,004 


52.8 


35.506 


312.4 


64.165 


564.5 


228,402 


2,009.5 


465,792 


4,098.1 


59,724 


525.5 






6.152 


52.7 


42,822 


366.8 


70,668 


605.3 


259,331 


2,221.3 


510,496 


4,372.6 


69,824 


598.1 






+2.5 


-.2 


+20.6 


+ 17.4 


+ 10.1 


+7.2 


+ 13.5 


+ 10.5 


+9.6 


+6.7 


+ 16.9 


+ 13.8 






2,587 


43.3 


9.812 


164.2 


17,292 


289.4 


81,070 


1,356.6 


171.950 


2,877.3 


22,050 


369.0 






2,678 


43.9 


13.056 


213.9 


19,449 


318.6 


88,695 


1.453.1 


182,171 


2,984.5 


26,264 


430.3 






+3.5 


+ 1.4 


+33.1 


+30.3 


+ 12.5 


+ 10.1 


+9.4 


+7.1 


+ 5.9 


+3.7 


+ 19.1 


+ 16.6 






1.700 


38.7 


13,272 


302.2 


21,335 


485.8 


52,995 


1.206.6 


126,077 


2,870.6 


20,246 


461.0 






1,944 


43.6 


13,569 


304.0 


21,263 


476.4 


55.593 


1.245.6 


132,904 


2,977.9 


24,334 


545.2 






+ 14.4 


+ 12.7 


+2.2 


+ .6 


-.3 


-1.9 


+4.9 


+3.2 


+5.4 


+3.7 


+20.2 


+ 18.3 






1,488 


23.8 


4,893 


78.2 


19,426 


310.6 


71.985 


1.150.8 


147,530 


2,358.6 


11,950 


191.0 






1,673 


26.4 


5,551 


87.7 


22,389 


353.6 


77,557 


1,225.0 


153,378 


2,422.7 


13,186 


208.3 






+ 12.4 


+ 10.9 


+ 13.4 


+ 12.1 


+ 15.3 


+ 13.8 


+7.7 


+6.4 


+4.0 


+2.7 


+ 10.3 


+9.1 






1,385 


41.4 


3.143 


93.9 


16.289 


486.7 


41.955 


1,253.5 


90,260 


2,696.7 


8.677 


259.2 






1,395 


41.3 


3.361 


99.5 


17.742 


525.2 


45,276 


1.340.3 


96,122 


2,845.8 


9,344 


276.6 






+.7 


-.2 


+6.9 


+6.0 


+8.9 


+7.9 


+7.9 


+6.9 


+6.5 


+5.5 


+7.7 


+6.7 






1.551 


27.2 


5.720 


100.2 


9,137 


160.1 


44,797 


785.1 


142,800 


2,502.6 


11,224 


196.7 






1,533 


26.5 


6.118 


105.7 


9,646 


166.7 


47,021 


812.5 


145,935 


2,521.8 


12,702 


219.5 






-1.2 


-2.6 


+7.0 


+5.5 


+ 5.6 


+4.1 


+ 5.0 


+3.5 


+2.2 


+.8 


+ 13.2 


+ 11.6 






359 


18.5 


728 


37.6 


2,054 


106.1 


11,972 


618.4 


25.191 


1,301.2 


3,238 


167.3 






362 


18.9 


787 


41.0 


1,893 


98.6 


11.999 


625.3 


26,055 


1,357.7 


3.247 


169.2 






+.8 


+2.2 


+8.1 


+9.0 


-7.8 


-7.1 


+.2 


+ 1.1 


+3.4 


+4.3 


+.3 


+ 1.1 






4,610 


30.5 


17,307 


114.4 


36,179 


239.2 


152,615 


1.009.2 


295,236 


1,952.4 


44,773 


296.1 






4,944 


32.5 


19,274 


126.7 


42.527 


279.6 


169,590 


1.115.1 


308,811 


2,030.4 


48.073 


316.1 






+7.2 


+6.6 


+ 11.4 


+ 10.8 


+ 17.5 


+ 16.9 


+ 11.1 


+ 10.5 


+4.6 


+4.0 


+7.4 


+6.8 






1,079 


26.8 


4,237 


105.4 


12.686 


315.5 


41.612 


1,034.9 


88,108 


2.191.2 


10.395 


258.5 






1,150 


28.4 


4,523 


111.6 


16,534 


407.9 


46.974 


1.159.0 


93,396 


2,304.4 


10.821 


267.0 






+6.6 


+6.0 


+6.8 


+5.9 


+30.3 


+29.3 


+ 12.9 


+ 12.0 


+6.0 


+5.2 


+4.1 


+3.3 






806 


216 


2,821 


75.7 


7.501 


201.3 


28,739 


771.3 


62,491 


1,677.2 


7,198 


193.2 






860 


23.1 


3.076 


82.5 


8,283 


222.2 


30,725 


824.2 


64,882 


1.740.4 


7,203 


193.2 






+6.7 


+6.9 


+9.0 


+9.0 


+ 10.4 


+ 10.4 


+6.9 


+6.9 


+3.8 


+3.8 


+.1 








698 


26.7 


1,635 


62.6 


4,470 


171.1 


26,701 


1,021.9 


47,478 


1,817.0 


4,075 


156.0 






678 


25.8 


1.697 


64.6 


4,526 


172.4 


28,242 


1,075.9 


48,430 


1,845.0 


3,940 


150.1 






-2.9 


-3.4 


+3.8 


+3.2 


+ 1.3 


+.8 


+5.8 


+ 5.3 


+2.0 


+ 1.5 


-3.3 


-3.8 






2,027 


42.6 


8,614 


180.9 


11,522 


242.0 


55,563 


1.166.8 


97,159 


2,040.3 


23,105 


485.2 






2,256 


47.0 


9,978 


207.7 


13,184 


274.5 


63,649 


1,325.2 


102,103 


2,125.8 


26,109 


543.6 






+ 11.3 


+ 10.3 


+ 15.8 


+ 14.8 


+ 14.4 


+ 13.4 


+ 14.6 


+ U.6 


+ 5.1 


+4.2 


+ 13.0 


+ 12.0 






12.084 


45.6 


45,349 


171 1 


82.774 


312.2 


424,574 


1.601.6 


880,841 


3,322.7 


139,567 


526.5 






12.301 


45.8 


55,503 


206.6 


96.744 


360.2 


490,981 


1,827.9 


977,356 


3,638.6 


165,075 


614.6 






+ 1.8 


+.4 


+22.4 


+20.7 


+ 16.9 


+ 15.4 


+ 15.6 


+ 14.1 


+ 11.0 


+9.5 


+ 18.3 


+ 16.7 






686 


29.1 


1,617 


68.5 


5,709 


242.0 


22,207 


941.4 


49,957 


2,117.7 


4,208 


178.4 






686 


28.9 


1.890 


797 


6.598 


278.2 


24,429 


1,029.9 


54,677 


2,305.1 


4,623 


194.9 








-.7 


+ 16.9 


+ 16.4 


+ 15.6 


+ 15.0 


+ 10.0 


+94 


+9.4 


+8.8 


+9.9 


+9.2 






1.782 


39.8 


8,526 


190.3 


20.313 


453.3 


59,326 


1,323.9 


141.739 


3,163.1 


17,130 


382.3 






1,806 


40.1 


10,071 


223.8 


21,676 


481.6 


65,751 


1,460.8 


153,818 


3,417.4 


19,875 


441.6 






+ 1.3 


+.8 


+ 18.1 


+ 176 


+6.7 


+6.2 


+ 10.8 


+ 10.3 


+8.5 


+8.0 


+ 16.0 


+ 15.5 






1,252 


37.9 


3,526 


106.8 


8,898 


269.6 


53.216 


1.612.1 


93,233 


2,824.4 


18,701 


566.5 






1,202 


36.4 


3.521 


106.5 


9,431 


285.4 


59,054 


1,786.8 


103,832 


3,141.7 


21,456 


649.2 






-4.0 


^».0 


-.1 


-.3 


+6.0 


+ 5.9 


+ 11.0 


+ 10.8 


+ 11.4 


+ 11.2 


+ 14.7 


+ 14.6 






8,364 


51.1 


31.680 


193.5 


47,854 


292.3 


289,825 


1.770.5 


595,912 


3,640.3 


99,528 


608.0 






8,607 


516 


40.021 


239.9 


59,039 


353.9 


341,747 


2,048.6 


665,029 


3,986.5 


119,121 


714.1 






+2.9 


+ 1.0 


+26.3 


+24.0 


+23.4 


+21.1 


+ 17.9 


+ 15.7 


+ 11.6 


+9.5 


+ 19.7 


+ 17.5 







Table 4. — Index of Crime: Region, Geographic Division, and State, 1985-1986 — Continued 



Cnme Index 



Violent cnme 



Percent change 

Colorado 

Percent change 
Idaho 

Percent change 
Montana 

Percent change 
Nevada 



Percent change 
Wyoming 



Percent change 
Alaska 

Percent change 
California 

Percent change 

Hawaii 

Percent change 
Oregon 

Percent change 
Washington 

Percent change 

Puerto Rico 6 

Percent change 



3,063,288 

3,239,661 

+5.8 

790,696 

823,332 

+4.1 



+7.1 
223,555 
229,731 
+2.8 
39,276 
42,196 



6,405.1 

6,644.2 

+3.7 

6,182.6 

6.323.1 

+ 2.3 

7,116.2 



+ 7-1 



+2.2 
5,317.3 
5,478.4 

+ 3.0 
4,015. 
4,357.2 

+8.5 



1,416,329 

+6.3 

30,619 

33,353 

+8.9 

.718,473 

,824,669 

+6.2 

54,814 

60,230 

+9.9 

180,830 

191,037 

+ 5.6 

287,856 

307,040 



6,486.3 
6,76 

+4.2 
5,877.0 
6,245.9 

+6.3 
6,518.0 
6,762.8 

+ 3.8 
5,200.6 



+5.2 
6,528.8 
6,879.7 



301,330 

354,397 

+ 17.6 

60,659 
66,042 



630.1 
726.8 
+15.3 

474.3 
507.2 
+6.9 

602.5 
658.3 
+9.3 
471.0 



2,761,958 

2,885,264 

+4.5 

730,037 

757,290 

+3.7 

207,591 

221,015 

+6.5 

208,336 

212,626 

+2.1 

36,916 

39,964 

+8.3 

35,855 

35,393 

-1.3 



19,130 
20,605 

+7.7 



3,0 

+.5 

201,763 

248,370 

+23. 

2,313 

2,604 

+ 12.6 



+4.7 

27,588 

30,307 

+9.9 

:.516,710 

1,576,299 

+3.9 

52,501 

57,626 

+9.8 

166,023 

176,207 

+6.1 

269.099 

287.535 

+6.9 



22,352 
25,843 



93,587 2,760. 
92,472 2,728J 



'Populations are Bureau of the Census provisional estimates as of July 1. 1985 and 1986. and are subject to change. 

2 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 ar 
not included for the property cnme 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 1986 forcible rape totals for most agencies in Illinois were, therefore estimated using the national rate of forcible rapes when grouped by like 
agencies. See "Offense Estimation" page 4 for details. 

'Includes offenses reported by the Zoological Police. 

^Population and offense data are not included in totals. 

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



le 4.- 


- Index of Crime: Region, Geographic Division, and State, 1985-1986 — Continued 












Forc.b 




Robbery 


Aggravated assault 


Burglary 


Larceny-theft 


Motor vehtcle tbef, 


Arson' 


umber 


Rate per 
100.000 


Number 


100,000 


Number 


Rate per 

100.000 


Number 


100.000 


Number 


100.000 


Number 


Rate per 

100,000 


Number 


100.000 


20,827 


43.5 


113,436 


237.2 


163,008 


340.8 


791,015 


1,653.9 


1,720,408 


3,597.2 


250,535 


523.8 






21,597 


44.3 


122,185 


250.6 


206,115 


422.7 


814,731 


1,670.9 


1,785,762 


3,662.4 


284,771 


584.0 






+3.7 


+ 1.8 


+7.7 


+5.6 


+26.4 


+24.0 


+3.0 


+ 1.0 


+3.8 


+1.8 


+13.7 


+ 11.5 






4,911 


38.4 


14,710 


115.0 


40,199 


314.3 


193,587 


1,513.7 


491,638 


3,844.2 


44,812 


350.4 






5,000 


38.4 


16,488 


126.6 


43,590 


334.8 


200,471 


1,539.6 


509,225 


3,910.8 


47,594 


365.5 






+ 1.8 




+ 12.1 


+ 10.1 


+8.4 


+6.5 


+3.6 


+ 1.7 


+3.6 


+ 1.7 


+6.2 


+4.3 






1,458 


45.7 


4,670 


146.5 


12,820 


402.3 


59,585 


1,869.6 


135,720 


4,258.6 


12,286 


385.5 






1,425 


43.0 


5,614 


169.2 


14,489 


436.8 


63,278 


1,907.7 


143,845 


4,336.6 


13,892 


418.8 






-2.3 


-5.9 


+20.2 


+ 15.5 


+ 13.0 


+8.6 


+6.2 


+2.0 


+6.0 


+ 1.8 


+ 13.1 


+8.6 






1,321 


40.9 


4,012 


124.2 


9,697 


300.1 


56,480 


1,748.1 


137,868 


4,267.0 


13,988 


432.9 






1,382 


42.3 


4,731 


144.8 


10,762 


329.4 


58,531 


1,791.6 


138,219 


4,230.8 


15,876 


486.0 






+4.6 


+3.4 


+ 17.9 


+ 16.6 


+ 11.0 


+9.8 


+3.6 


+2.5 


+ .3 


-.8 


+ 13.5 


+ 12.3 






192 


19.1 


269 


26.8 


1,877 


186.8 


8,917 


887.3 


26,170 


2,604.0 


1.829 


182.0 






201 


20.0 


214 


21.3 


1,785 


178.0 


10,065 


1,003.5 


28,081 


2,799.7 


1.818 


181.3 






+4.7 


+4.7 


-20.4 


-20.5 


^t.9 


-4.7 


+ 12.9 


+ 13.1 


+7.3 


+ 7.5 


-.6 


-.4 






159 


19.2 


173 


20.9 


1,342 


162.5 


6,835 


827.5 


26,746 


3,238.0 


2,274 


275.3 






142 


17.3 


160 


19.5 


963 


117.6 


6,491 


792.6 


27,142 


3,314.0 


1,760 


214.9 






-10.7 


-9.9 


-7.5 


-6.7 


-28.2 


-27.6 


-5.0 


-42 


+ 1.5 


+2.3 


-22.6 


-21.9 






564 


60.3 


2,573 


274.9 


3,011 


321.7 


17,312 


1,849.6 


33,336 


3,561.5 


4,646 


496.4 






625 


64.9 


2,763 


286.9 


3,414 


354.5 


15.446 


1,603.9 


33,601 


3,489.2 


4,600 


477,7 






+ 10.8 


+7.6 


+7.4 


+4.4 


+ 13.4 


+ 10.2 


-10.8 


-13.3 


+ .8 


-2.0 


-1.0 


-3.8 






722 


49.8 


2,003 


138.1 


7,324 


505.1 


25,432 


1,753.9 


53,398 


3,682.6 


5,013 


345.7 






693 


46.9 


1,916 


129.5 


7,952 


537.7 


27,283 


1,844.7 


54,906 


3,712.4 


5,077 


343.3 






-4.0 


-5.8 


^.3 


-6.2 


+8.6 


+6.5 


+7.3 


+ 5.2 


+2.8 


+ .8 


+ 1.3 


-.7 






381 


23.2 


908 


55.2 


3,059 


186.0 


15,511 


942.9 


63,668 


3,870.4 


3,893 


236.7 






421 


25.3 


976 


58.6 


2,991 


179.6 


15,233 


914.9 


67,825 


4,073.6 


3,716 


223.2 






+ 10.5 


+9.1 


+7.5 


+6.2 


-2.2 


-3.4 


-1.8 


-3.0 


+6.5 


+5.3 


^1.5 


-5.7 






114 


22.4 


102 


20.0 


1,069 


210.0 


3,515 


690.6 


14,732 


2,894.3 


883 


173.5 






111 


21.9 


114 


22.5 


1,234 


243.4 


4,144 


817.4 


15.606 


3,078.1 


855 


168.6 






-2.6 


-2.2 


+ 11.8 


+ 12.5 


+ 15.4 


+ 15.9 


+ 17.9 


+ 18.4 


+ 5.9 


+6.4 


-3.2 


-2.8 






15,916 


45.4 


98,726 


281.8 


122,809 


350.5 


597,428 


1,705.1 


1,228,770 


3,507.1 


205,723 


587.2 






16,597 


46.4 


105,697 


295.8 


162,525 


454.8 


614,260 


1,718.8 


1,276,537 


3,572.0 


237,177 


663.7 






+4.3 


+2.2 


+7.1 


+5.0 


+32.3 


+ 29.8 


+2.8 


+ .8 


+3.9 


+ 1.9 


+ 15.3 


+ 13.0 






402 


77.2 


484 


92.9 


2,094 


401.9 


6,209 


1.191.7 


18,220 


3,497.1 


3,159 


606.3 






388 


72.7 


470 


88.0 


2,142 


401.1 


6,204 


1,161.8 


20,879 


3,909.9 


3,224 


603.7 






-3.5 


-5.8 


-2.9 


-5.3 


+2.3 


-.2 


-.1 


-2.5 


+ 14.6 


+ 11.8 


+2.1 


-.4 






11,421 


43.3 


86,387 


327.7 


101,185 


383.8 


448,506 


1.701.1 


890,967 


3.379.4 


177,237 


672.2 






12,119 


44.9 


92,512 


342.9 


140,701 


521.5 


457,698 


1,696.4 


913,004 


3,383.9 


205,597 


762.0 






+6.1 


+ 3.7 


+7.1 


+4.6 


+39.1 


+35.9 


+2.0 


-.3 


+2.5 


+ .1 


+ 16.0 


+ 13.4 






310 


29.4 


1,048 


99.4 


912 


86.5 


12,164 


1.154.1 


37,357 


3,544.3 


2,980 


282.7 






329 


31.0 


1,129 


106.3 


1,095 


103.1 


14,218 


1,338.8 


39,922 


3,759.1 


3,486 


328.2 






+6.1 


+ 5.4 


+7.7 


+6.9 


+20.1 


+ 19.2 


+ 16.9 


+ 16.0 


+6.9 


+6.1 


+ 17.0 


+ 16.1 






1,363 


50.7 


4,986 


185.6 


8,333 


310.1 


50,690 


1,886.5 


105,725 


3,934.7 


9,608 


357.6 






1,379 


51.1 


5,555 


205.9 


7,718 


286.1 


53,062 


1,966.7 


112,312 


4,162.8 


10,833 


401.5 






+ 1.2 


+.8 


+ 11.4 


+ 10.9 


-7.4 


-7.7 


+4.7 


+4.3 


+6.2 


+5.8 


+ 12.7 


+ 12.3 






2,420 


54.9 


5,821 


132.0 


10,285 


233.3 


79,859 


1.811.3 


176,501 


4,003.2 


12,739 


288.9 






2,382 


53.4 


6,031 


135.1 


10,869 


243.5 


83,078 


1,861.5 


190,420 


4,266.6 


14,037 


314.5 






-1.6 


-2.7 


+3.6 


+2.3 


+5.7 


+4.4 


+4.0 


+2.8 


+7.9 


+6.6 


+ 10.2 


+ 8.9 






421 


12.4 


12,857 


379.3 


8,511 


251.1 


40,617 


1.198.1 


34,113 


1,006.3 


18,857 


556.3 






436 


12.9 


16,447 


485.2 


8,353 


246.4 


38,792 


1.144.4 


32,340 


954.1 


21.340 


629.6 






+ 3.6 


+4.0 


+27.9 


+27.9 


-1.9 


-1.9 


-A.5 


^1.5 


-5.2 


-5.2 


+ 13.2 


+ 132 







Table 5. — Index of Crime, State, 1986 



Area 


Population 


Sf 


Modified 
Crime 


» 


W 


negligent 


Forcible 
rape 


— 


Aggra- 


Burglary 


"a- 


Motor 




ALABAMA 




























Metropolitan Statistical 


2,574,322 


























Area actually reporting 


99.2% 


135,459 




17.456 


118,003 


302 


940 


4,126 


12,088 


36,789 


72,076 


9,138 




Estimated totals 


100.0% 


136,700 




17,630 


119,070 


304 


946 


4,155 


12,225 


37.068 


72,794 


9,208 




Other Cities 


625,105 


























Area actually reporting 


97.4% 


27,683 




3,887 


23,796 


57 


127 


280 


3,423 


6.263 


16.487 


1,046 




Estimated totals 


100.0% 


28,429 




3,992 


24,437 


59 


130 


288 


3.515 


6,432 


16.931 


1,074 




Rural 


853,573 


























Area actually reporting 


89.6% 


7,779 




891 


6,888 


41 


66 


72 


712 


3,114 


3,291 


483 




Estimated totals 


100.0% 


8.678 




994 


7,684 


46 


74 


80 


794 


3.474 


3,671 


539 




State Total 


4,053,000 


173,807 




22,616 


151,191 


409 


1,150 


4,523 


16,534 


46,974 


93,396 


10,821 




Rate per 100,000 
























inhabitants 




4.288.4 




558.0 


3,730.3 


10.1 


28.4 


111.6 


407.9 


1,159.0 


2,304.4 


267.0 




ALASKA 




























Metropolitan Statistical 


238,235 


























Area actually reporting 


100.0% 


16,479 




1,198 


15,281 


17 


167 


330 


684 


2,824 


11,071 


1,386 




Other Cities 


134,739 


























Area actually reporting 


94.1% 


9.881 




992 


8,889 


9 


104 


92 


787 


1.366 


6,338 


1.185 




Estimated totals 


100.0% 


10,505 




1,056 


9,449 


10 


111 


98 


837 


1.452 


6.737 


1,260 




Rural 


161,026 


























Area actually reporting 


100.0% 


6,369 




792 


5,577 


19 


110 


42 


621 


1.928 


3.071 


578 




State Total 


534,000 


33,353 




3,046 


30,307 


46 


388 


470 


2,142 


6,204 


20,879 


3,224 




Rate per 100,000 




















inhabitants 




6,245.9 




570.4 


5,675.5 


8.6 


72.7 


88.0 


401.1 


1.161.8 


3.909.9 


603.7 




ARIZONA 




























Metropolitan Statistical 




























Area 


2,509,371 


























Area actually reporting 


100.0% 


203,956 




18,354 


185,602 


249 


1,242 


5,210 


11,653 


53,427 


120.373 


11.802 




Other Cities 


435,358 


























Area actually reporting 


98.1% 


30,171 




2,353 


27,818 


24 


121 


319 


1.889 


6,996 


19.314 


1.508 




Estimated totals 


100.0% 


30,749 




2,397 


28,352 


24 


123 


325 


1,925 


7,130 


19,685 


1.537 




Rural 


372,271 


























Area actually reporting 


90.7% 


7,384 




983 


6,401 


31 


54 


72 


826 


2,467 


3,433 


501 




Estimated totals 


100.0% 


8.145 




1,084 


7,061 


34 


60 


79 


911 


2,721 


3,787 


553 




State Total 


3,317,000 


242,850 




21,835 


221,015 


307 


1,425 


5,614 


14,489 


63,278 


143,845 


13,892 




Rate per 100,000 




























inhabitants 




7,321.4 




658.3 


6,6631 


9.3 


43.0 


169.2 


436.8 


1,907.7 


4,336.6 


418.8 




ARKANSAS 




























Metropolitan Statistical 




























Area 


922,406 


























Area actually reporting 


100.0% 


55,686 




6,169 


49,517 


95 


458 


1,478 


4.138 


14.080 


32,639 


2,798 




Other Cities 


570,664 


























Area actually reporting 


99.7% 


26,197 




2,399 


23,798 


35 


136 


360 


1,868 


6,262 


16,382 


1,154 




Estimated totals 


100.0% 


26,282 




2,406 


23,876 


35 


136 


361 


1,874 


6,282 


16.436 


1,158 




Rural 


878,930 


























Area actually reporting 


98.1% 


10,917 




775 


10,142 


60 


90 


50 


575 


3,991 


5,497 


654 




Estimated totals 


100.0% 


11,126 




790 


10.336 


61 


92 


51 


586 


4,067 


5.602 


667 




State Total 


2,372,000 


93,094 




9,365 


83,729 


191 


686 


1,890 


6,598 


24,429 


54,677 


4,623 




Rate per 100,000 
























inhabitants 




3,924.7 




394.8 


3,529.9 


8.1 


28.9 


79.7 


278.2 


1.029.9 


2.305.1 


194.9 




CALIFORNIA 




























Metropolitan Statistical 




























Area 


25,826.624 




























100.0% 


1,765,788 




241,680 


1,524,108 


2,947 


11,791 


91,818 


135,124 


440,910 


880,617 


202,581 




Other Cities 


468,960 


























Area actually reporting 


99.2% 


34,544 




3,173 


31.371 


37 


148 


470 


2,518 


8,554 


21.068 


1.749 




Estimated totals 


100.0% 


34,819 




3,198 


31.621 


37 


149 


474 


2,538 


8,622 


21.236 


1,763 




Rural 


685,416 


























Area actually reporting 


100.0% 


24,062 




3,492 


20,570 


54 


179 


220 


3,039 


8,166 


11,151 


1,253 




State Total 


26,981,000 


1,824,669 




248,370 


1,576,299 


3,038 


12,119 


92,512 


140,701 


457,698 


913,004 


205,597 




Rate per 100.000 




























inhabitants 




6,762.8 




920.5 


5,842.3 


11.3 


44.9 


342.9 


521.5 


1,696.4 


3.383.9 


762.0 





See footnotes at end of table 



jle 5. — Index of Crime, State, 1986 — Continued 



Area 


Population 


s? 


Modified 


» 


•B 


negligent 
slaughter 


Forcible 


~> 


Aggra- 


Burglary 


theft 


ti 


Arson' 


COLORADO 




























ropolitan Statistical 




























rea 


2,634,199 


























Area actually reporting 


100.0% 


201,494 




15,636 


185,858 


189 


1,305 


4,592 


9,550 


52.681 


118,591 


14,586 




a Cities 


293,218 


























Area actually reporting 


99.6% 


17,324 




867 


16,457 


21 


41 


99 


706 


3,075 


12,764 


618 




Estimated totals 


100.0% 


17,397 




870 


16,527 


21 


41 


99 


709 


3,088 


12.818 


621 




al 


339,583 


























Area actually reporting 


100.0% 


10,840 




599 


10,241 


20 


36 


40 


503 


2,762 


6,810 


669 




e Total 


3,267,000 


229,731 




17,105 


212,626 


230 


1,382 


4,731 


10,762 


58,531 


138,219 


15,876 




Rate per 100,000 
















inhabitants 




7,031.9 




523.6 


6,508.3 


7.0 


42 3 


144.8 


329.4 


1,791.6 


4.230.8 


486.0 




CONNECTICUT 




























ropolitan Statistical 


2.926,544 


























Area actually reporting 


100.0% 


146.865 




12,936 


133,929 


143 


704 


6.044 


6,045 


35,918 


84,240 


13.771 




r Cities 


90.197 


























Area actually reporting 


100.0% 


3,420 




233 


3,187 


2 


24 


42 


165 


892 


2.086 


209 




ll 


172,259 


























Area actually reporting 


100.0% 


3,704 




409 


3,295 


3 






331 
6,541 


1.380 
38,190 


1,637 
87,963 


278 
14,258 




e Total 


3,189,000 


153,989 




13,578 


140,411 


148 


760 


6,129 




Rate per 100,000 














inhabitants 




4,828.8 




425.8 


4,403.0 




23.8 






1,197.6 


2,758.3 






DELAWARE 






















opolitan Statistical 




























rea 


421,216 


























Area actually reporting 


100.0% 


21,086 




1,712 


19,374 


18 


199 


612 


883 


4,354 


13,619 


1,401 




r Cities 


67,498 


























Area actually reporting 


100.0% 


5,041 




413 


4,628 




43 


128 


242 


823 


3.649 


156 




U 


144,286 


























Area actually reporting 


100.0% 


4,457 




578 


3,879 


13 


118 


46 


401 


1.421 


2,294 


164 




e Total 


633,000 


30,584 




2,703 


27,881 


31 


360 


786 


1,526 


6,598 


19,562 


1.721 




Rate per 100,000 


















inhabitants 




4,831.6 




427.0 


4,404.6 


4.9 


56.9 


124.2 


241.1 


1,042.3 


3,090.4 


271.9 




ISTRICT OF COLUMBIA 4 




























opolitan Statistical 




























ea 


626,000 


























Area actually reporting 


100.0% 


52.204 




9,423 


42.781 


194 


328 


4,720 


4,181 


10.815 


25.861 


6,105 




r Cities 


NONE 


























a 


NONE 


























e Total 


626,000 


52,204 




9,423 


42,781 




328 


4,720 


4,181 


10,815 


25,861 


6,105 




Rate per 100,000 
















inhabitants 




8,339.3 




1,5053 


6.834.0 


31.0 


52.4 


754.0 


667.9 


1,727.6 


4.131.2 


975.2 




FLORIDA 




























opolitan Statistical 




























ea 


10,607,557 


























Area actually reporting 


100.0% 


913,594 




115,114 


798,480 


1,280 


5,732 


41,802 


66,300 


244.196 


486,837 


67.447 




r Cities 


286,516 


























Area actually reporting 


99.6% 


19,274 




2.211 


17,063 


29 


100 


496 


1,586 


5,049 


11,212 


802 




Estimated totals 


100.0% 


19,346 




2.219 


17,127 


29 


100 


498 


1.592 


5.068 


11,254 


805 




J 


780,927 


























Area actually reporting 


100.0% 


27,724 




3,680 


24,044 


62 


320 


522 


2.776 


10,067 


12.405 


1,572 




e Total 


11,675,000 


960,664 




121,013 


839,651 


1,371 




42,822 


70,668 


259,331 


510,496 


69,824 




Rate per 100,000 












inhabitants 




8.228.4 




1,036.5 


7.191.9 


11.7 


52.7 


366.8 


605.3 


2,221.3 


4,372.6 


598.1 











53 



Table 5. — Index of Crime, State, 1986 — Continued 



Murder an 
negligent 



GEORGIA 

Metropolitan Statistical 

Area actually reporting 
Estimated totals 

Other Cities 

Area actually reporting 
Estimated totals 

Rural 

Area actually reporting 
Estimated totals 

State Total 

Rate per 100,000 



HAWAII 

Metropolitan Statistical 

Area actually reporting 
Other Cities 

Area actually reporting 
Rural 

Area actually reporting 
State Total 

Rate per 100,000 
inhabitants 



Metropolitan Statistical 

Area actually reporting 

Other Cities 

Area actually reporting 

Estimated totals 

Rural 

Area actually reporting 

Estimated totals 

State Total 

Rate per 100,000 
inhabitants 

ILLINOIS 5 

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 



3,874.997 
98.8% 
100.0% 
870,903 
93.8% 
100.0% 
1,358,100 
93.5% 
100.0% 
6,104,000 



823,306 
100.0% 
38,094 
100.0% 
200,600 
100.0% 
1,062,000 



189,707 
100.0% 
391.869 

93.8% 
100.0% 
421,424 

99.0% 

100.0% 

1,003,000 



9,450,904 

99.9% 

100.0% 

1,069,195 

98.2% 

100.0% 

1,032,901 

100.0% 

11,553,000 



3.734.050 
85.6% 
100.0% 
626,553 
73.4% 
100.0% 
1,143,397 
51.7% 
100.0% 
5,504,000 



26,997 
28,872 
332,999 



40.455 

2,388 

11,387 
60,230 

5,671.4 



8,604 

16,650 

212,170 



3,031 
3,242 
35,869 



2,232 
222.5 



23.966 
25,630 
297,130 



2,076 


44.379 


82 


2,306 


446 


10,941 


2,604 


57,626 


245.2 


5,426.2 



8,376 
8,464 
39,964 



7,825 

15,142 

195,233 



122 
1,424 



2,173 
2.324 
19,449 



1,129 

106.3 



565 

571 

1,785 

178.0 



37,583 

325.3 



50,083 

433.5 



9,379 
10,030 
88,695 



14,218 

1,338.8 



2,774 
2,803 
10,065 



2,530 
4,896 
48,802 



Index of Crime, State, 1986 — Continued 









Modified 






Murder and 
















Area 


Population 


Index 




S3 


? r j 


negligent 
slaughter 


Forcible 


Robbery 


Aggra- 


Burglary 


Larceny- 
theft 


Motor 
theft 


Arson' 


IOWA 




























ropolitan Statistical 


1,210,418 


























Area actually reporting 


100.0% 


76,708 




5,134 


71,574 


31 


293 


1.049 


3,761 


17.827 


50.837 


2,910 




er Cities 


681,043 


























Area actually reporting 


100.0% 


29,118 




1,295 


27,823 


10 


37 


126 


1,122 


5.508 


21,248 


1.067 




al 


959,539 


























Area actually reporting 


100.0% 


12,510 




274 


12,236 


10 


26 


22 


216 


3,920 


7,779 


537 




e Total 


2,851,000 


118,336 




6,703 


111,633 


51 


356 


1.197 


5,099 


27,255 


79,864 


4,514 




Rate per 100,000 
















inhabitants 




4,150.7 




235.1 


3,915.6 


1.8 


12.5 


42.0 


178.8 


956.0 


2,801.3 


158.3 




KANSAS 




























ropolitan Statistical 


1.235,337 


























Area actually reporting 


99.8% 


79.066 




6.540 


72,526 


76 


603 


1.736 


4.125 


19,922 


47.676 


4.928 




Estimated totals 


100.0% 


79,171 




6.545 


72,626 


76 


603 


1,737 


4,129 


19,943 


47.750 


4.933 




r Cities 


685,126 


























Area actually reporting 


96.6% 


30,695 




1,932 


28,763 


14 


149 


185 


1,584 


6,350 


21,421 


992 




Estimated totals 


100.0% 


31,771 




1,999 


29,772 


14 


154 


191 


1,640 


6,573 


22,172 


1,027 




il 


540,537 


























Area actually reporting 


100.0% 


7,741 




532 


7,209 


18 


53 


30 


431 


2,713 


4.107 


389 




e Total 


2,461,000 


118,683 




9,076 


109,607 


108 


810 


1,958 


6,200 


29,229 


74,029 


6,349 




Rate per 100,000 


















inhabitants 




4,822.6 




368.8 


4,453.8 




32.9 


79.6 


251.9 










KENTUCKY 






























1,693,685 


























Area actually reporting 


99.6% 


75,933 




7,185 


68,748 


126 


482 


2,668 


3.909 


19,134 


45,023 


4,591 




Estimated totals 


100.0% 


76,274 




7,213 




126 


483 




3,930 


19.203 


45,251 


4.607 




T Cities 


602,113 


















Area actually reporting 


99.9% 


21,007 




2,090 


18,917 


23 


139 


223 


1,705 


4,771 


13,013 


1,133 




Estimated totals 


100.0% 


21,033 




2,092 


18,941 


23 


139 


223 


1,707 


4,777 


13,030 


1,134 




il 


1,432,202 


























Area actually reporting 


99.2% 


17,834 




3,138 


14,696 


98 


236 


178 


2,626 


6,694 


6,551 


1,451 




Estimated totals 


100.0% 


17,970 




3,162 


14,808 


99 


238 


179 


2,646 


6.745 


6.601 


1,462 




e Total 


3,728,000 


115,277 




12,467 


102,810 


248 


860 


3,076 


8,283 


30,725 


64,882 


7,203 




Rate per 100,000 












inhabitants 




3,092.2 




334.4 


2,757.8 


6.7 


23.1 


82.5 


222.2 


824.2 


1,740.4 


193.2 




LOUISIANA 




























opolitan Statistical 




























ea 


3,107,027 


























Area actually reporting 


91.1% 


216,629 




27,188 


189,441 


459 


1,426 


9,286 


16,017 


51.716 


119,784 


17.941 




Estimated totals 


100.0% 


232,548 




28,778 


203,770 


477 


1.510 


9,597 


17.194 


55,218 


129,826 


18,726 




r Cities 


494,434 


























Area actually reporting 


62.6% 


14,212 




1,457 


12,755 


22 


57 


195 


1.183 


3,400 


9.002 


353 




Estimated totals 


100.0% 


22.715 




2,329 


20,386 


35 


91 


312 


1,891 


5,434 


14,388 


564 




1 


899,539 


























Area actually reporting 


67.9% 


12,435 




2,052 


10.383 


43 


139 


110 


1.760 


3,463 


6,523 


397 




Estimated totals 


100.0% 


18,309 




3.021 


15,288 


63 


205 


162 


2.591 


5,099 


9.604 


585 




e Total 


4,501,000 


273,572 




34,128 


239,444 


575 


1,806 


10,071 


21,676 


65,751 


153,818 


19,875 




Rate per 100,000 














inhabitants 




6,078.0 




758.2 


5,319.8 


12.8 


40.1 


223.8 


481.6 


1,460.8 


3,417.4 


441.6 




MAINE 




























opolitan Statistical 




























ea ... 


433,923 


























Area actually reporting 


100.0% 


21,758 




1.060 


20,698 


8 


74 


250 


728 


4,644 


15,092 


962 




r Cities 


402,845 


























Area actually reporting 


99.7% 


13,562 




399 


13,163 


6 


39 


53 


301 


2,536 


10,021 


606 




Estimated totals 


100.0% 


13,606 




400 


13,206 




39 






2,544 


10.054 


608 




a 


337,232 


















Area actually reporting 


100.0% 


5,271 




266 


5,005 








171 
1,201 


2,245 
9,433 


2,402 
27.548 


358 
1,928 




e Total 


1,174,000 


40,635 




1,726 


38,909 


23 


174 


328 




Rate per 100,000 


















inhabitants 




3.461.2 




147.0 


3,314.2 


2.0 


14.8 


27.9 


102 3 


803.5 


2,346.5 


1642 





Table 5. — Index of Crime, State, 1986 — Continued 



MARYLAND 

Metropolitan Statistical 



dually reporting 
reporting 



Other Cities 

Area actu 
Rural 

Area actually reporting 
State Total 

Rate per 100,000 



100.0% 

233,278 

100.0% 

4,463,000 



200,552 
7,461 



13,354 
150 



19.K 

541 

854 
21,263 

47b. 



MASSACHUSETTS 

Metropolitan Statistical 

Area actually reporting 
Estimated totals 

Other Cities 

Area actually reporting 
Estimated totals 

Rural 

Area actually reporting 

State Total 

Rate per 100,000 
inhabitants 



5.333,224 
90.2% 
100.0% 
487,892 
90.0% 
100.0% 
10,884 
100.C 
5,832,000 



275,465 
4,723.3 



242,989 

4,166.5 



110 

2 
1,731 



11,239 

192.7 



19.2 
330.9 



62,455 

1,070.9 



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 



98.2% 
100.0% 
683,022 



2,778 
73,517 



204 

905 
6,167 



27,5 
301.3 



38,768 

423.9 



MINNESOTA 

Metropolitan Statistical 
Area 

Area actually reporting 
Other Cities 

Area actually reporting 
Rural 

Area actually reporting 
State Total 

Rate per 100,000 
inhabitants 



2,741,072 
100.0% 
519,297 
100.0% 
953,631 
100.0% 

4,214,000 



145,215 

22,393 



15,578 
171,832 



4,299 

102.0 



5,392 
393 

6,249 

148.3 



33,689 
3,462 



MISSISSIPPI 

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 table. 



768,525 
78.2% 

100.0% 

697,105 
80.7% 

100.0% 

1,159,370 

46.2% 

100.0% 
2,625,0 



589 
1,275 
7,196 



4,309 
9,326 
80,612 



2,229 
4,824 
28,242 



le 5. — Index of Crime, State, 1986 — Continued 



Mixiified 



Murder and 



3.316,824 
93.7% 
100.0% 
471,307 
84.8% 
100.0% 
1,277,869 
62.6% 
100.0% 
5,066,000 



423.320 
90.7% 
100.0% 
819,000 



735,995 
100.0% 
387,330 

95.9% 
100.0% 
474,675 

81.5% 

100.0% 

1,598,000 



790,852 
100.0% 
28,965 
53.3% 
100.0% 
143,183 
33.5% 
100.0% 
963,000 



8,472 

13,525 

235,773 



10,274 
11,328 
36,682 



4,945 
6,069 
61,614 

3,855.7 



852 
1,597 

933 
2,786 
60,570 

6,289.7 



4.196 
262.6 



7,579 

12,100 

206,463 



12,376 

11,355 
12,258 

9,757 
10,759 
35,393 

4,321.5 



4,799 
5,891 
57,418 

3,593.1 



103 
126 

2.936 

183.7 



2.38S 
2,633 
6,491 



8,135 

2,148 
2,241 

1,287 
1,580 
11,956 

748.2 



185 

347 

274 

818 

15,446 

1,603.9 



27,142 
3,314.0 



3,282 
4,029 
42,784 



Table 5. — Index of Crime, State, 1986 — 


Continuec 
























Area 


— 


Index 
total 


Modified 


s? 


Property 


Murder and 
negligent 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 


Burglary 


theft 


5 




NEW HAMPSHIRE 




























Metropolitan Statistical 






























539,837 


























Area actually reporting 


100.0% 


21.715 




833 


20,882 


14 


108 


184 


527 


4.743 


14.404 


1,735 




Other Cities 


311.357 


























Area actually reporting 


100.0% 


11,313 




476 


10,837 


7 


90 


49 


330 


2,497 


7.796 


544 




Rural 


175,806 


























Area actually reporting 


100.0% 


1.172 




124 


1.048 


2 


23 


9 


90 


514 


475 


59 




State Total 


1,027,000 


34,200 




1,433 


32,767 


23 


221 


242 


947 


7,754 


22,675 


2,338 




Rate per 100,000 
































3,330.1 




139.5 


3,190.6 


2.2 


21.5 


23.6 


92.2 


755.0 


2,207.9 


227.7 




NEW JERSEY 


Metropolitan Statistical 




























Area 


7,620,000 


























Area actually reporting 


100.0% 


399,387 




43,623 


355.764 


399 


2,531 


20,473 


20,220 


81,595 


215,073 


59,096 




Other Cities 


NONE 


























Rural 


NONE 


























State Total 


7,620,000 


399,387 




43,623 


355,764 


399 


2,531 


20,473 


20,220 


81,595 


215,073 


59,096 




Rate per 100,000 


inhabitants 




5,241.3 




572.5 


4,668.8 


5.2 


33.2 


268.7 


265.4 


1,070.8 


2.822.5 


775.5 




NEW MEXICO 




























Metropolitan Statistical 






























687,781 


























Area actually reporting 


91.6% 


49,563 




5,581 


43,982 


78 


342 


1,463 


3,698 


14,746 


26,526 


2,710 




Estimated totals 


100.0% 


54,929 




5.818 


49.111 


83 


359 


1,512 


3,864 


15,955 


30,206 


2,950 




Other Cities 


486,224 


























Area actually reporting. 


85.1% 


27.721 




2,790 


24,931 


35 


177 


235 


2,343 


6.416 


17,320 


1.195 




Estimated totals 


100.0% 


32,560 




3,277 


29,283 


41 


208 


276 


2,752 


7,536 


20.343 


1.404 




Rural 


304.995 


























Area actually reporting 


53.8% 


5,654 




881 


4,773 


25 


68 


69 


719 


2,040 


2.344 


389 




Estimated totals 


100.0% 


10,508 




1,636 


8.872 


46 


126 


128 


1,336 


3,792 


4.357 


723 




State Total 


1,479,000 


97,997 




10,731 


87,266 


170 


693 


1,916 


7,952 


27,283 


54,906 


5,077 




Rate per 100,000 




























inhabitants 




6,625.9 




725.6 


5,900.3 


11.5 


46.9 


129.5 


537.7 


1,844.7 


3.712.4 


343.3 




NEW YORK 




























Metropolitan Statistical 




























Area 


16,068,178 


























Area actually reporting 


99.3% 


971,618 




171.524 


800,094 


1,863 


5,223 


90.929 


73.509 


203,761 


484.798 


111,535 




Estimated totals 


100.0% 


975,649 




171,829 


803,820 


1.865 


5.237 


91,030 


73.697 


204,625 


487,378 


111,817 




Other Cities 


813,744 


























Area actually reporting 


93.9% 


28,071 




1,731 


26,340 


18 


80 


213 


1,420 


5.313 


20.205 


822 




Estimated totals 


100.0% 


29,890 




1,843 


28,047 




85 


227 


1,512 


5,657 


21.515 


875 




Rural 


890,078 


























Area actually reporting 


100.0% 


19,498 




1,538 


17.960 


23 


93 


103 


1,319 


6,728 


10,677 


555 




State Total 


17,772,000 


1,025,037 




175,210 


849,827 


1,907 


5,415 


91,360 


76,528 


217,010 


519.570 


113,247 




Rate per 100,000 




























inhabitants 




5.767.7 




985.9 


4.781.8 


10.7 


30.5 


514.1 


430 6 


1,221.1 


2,923.5 


637.2 




NORTH CAROLINA 




























Metropolitan Statistical 




























Area 


3,463,500 


























Area actually reporting 


99.4% 


184.515 




20,858 


163,657 


287 


1,202 


4.471 


14,898 


50.083 


104,384 


9.190 




Estimated totals 


100.0% 


185,866 




21,023 


164,843 


288 


1,209 


4,494 


15.032 


50,403 


105,189 


9.251 




Other Cities 


914.378 


























Area actually reporting 


91.5% 


49.738 




5,140 


44.598 


65 


207 


719 


4,149 


12.221 


30,478 


1.899 




Estimated totals 


100.0% 


54,374 




5,619 


48,755 


71 


226 


786 


4,536 


13,360 


33,319 


2,076 




Rural 


1.953,122 


























Area actually reporting 


96.8% 


32.916 




3,373 


29,543 


151 


230 


262 


2,730 


13,351 


14,393 


1,799 




Estimated totals 


100.0% 


34.009 




3,486 


30,523 


156 


238 


271 


2,821 


13,794 


14.870 


1,859 




State Total 


6,331,000 


274,249 




30,128 


244,121 


515 


1,673 


5,551 


22,389 


77,557 


153,378 


13,186 




Rate per 100,000 




























inhabitants 




4,331.8 




475.9 


3.856.0 


8.1 


26.4 


87.7 


353.6 


1,225.0 


2.422.7 


208.3 





5. — Index of Crime, State, 1986 — Continued 









Modified 






Murder anc 
















Area 


Population 


Index 


Index 

tolal 1 


Violent 


'S y 


negligent 
slaughter 


Forcible 


Ro^ry 


Aggra- 
vated 


Burglary 


theft 


v H e 


Arson' 


NORTH DAKOTA 




























ropolitan Statistical 






























246,121 


























Area actually reporting 


100.0% 


9,548 




178 


9,370 


3 


49 


33 


93 


1 2 , 8 


7,701 


441 




er Cities 


143,823 
























Area actually reporting 


96.9% 


5,107 




72 


5,035 




13 


11 


48 


636 


4,192 


207 




Estimated totals 


100.0% 


5,273 




74 


5,199 




13 


11 


50 


657 


4,328 


214 




al 


289,056 


























Area actually reporting 


97.7% 


2,804 




94 


2,710 


4 


17 


3 


70 


713 


1,842 


155 




Estimated totals 


100.0% 


2,870 




96 


2,774 


4 


17 


3 


72 


730 


1.885 


159 




e Total 


679,000 


17,691 




348 


17,343 


7 


79 


47 


215 


2,615 


13,914 


814 




Rate per 100,000 
























inhabitants 




2,605.4 




51.3 


2,554.2 


1.0 


11.6 


6.9 


31.7 


385.1 


2,049.2 


119.9 




OHIO 




























ropolitan Statistical 


8,472,999 


























Area actually reporting 


89.3% 


382,232 




39,583 


342,649 


526 


3.653 


14,330 


21,074 


86.619 


220,279 


35,751 




Estimated totals 


100.0% 


410,662 




41,526 


369,136 


545 


3,824 


14.771 


22,386 


92,549 


238,798 


37,789 




a Cities 


860,462 


























Area actually reporting 


79.3% 


29.759 




1,843 


27,916 


16 


151 


323 


1.353 


5,771 


20,899 


1,246 




Estimated totals 


100.0% 


37,508 




2.322 


35.186 


20 


190 


407 


1.705 


7,274 


26,342 


1,570 




al.... 


1,418,539 


























Area actually reponing 


78.8% 


16.129 




1,113 


15,016 


24 


108 


83 


898 


5,032 


9.167 


817 




Estimated totals 


100.0% 


20,477 




1,412 


19.065 


30 


137 


105 


1,140 


6,389 


11,639 


1,037 




e Total 


10,752,000 


468,647 




45,260 


423,387 


595 


4,151 


15,283 


25,231 


106,212 


276,779 


40,396 




Rate per 100,000 
























inhabitants 




4,358.7 




420.9 


3,937.8 


5.5 


38.6 




234.7 


987.8 


2,574.2 


375.7 




OKLAHOMA 




























ropolitan Statistical 


1,910,293 


























Area actually reporting 


100.0% 


148,747 




10,836 


137,911 


182 


957 


3,104 


6.593 


43,330 


76,585 


17,996 




■r Cities 


741.936 


























Area actually reporting 


99.8% 


36,519 




2,629 


33,890 


37 


151 


331 


2,110 


9,830 


21,676 


2,384 




Estimated totals 


100.0% 


36,592 




2,634 


33,958 


37 


151 


332 


2,114 


9,850 


21,719 


2,389 




»1 


652,771 


























Area actually reporting 


100.0% 


13,426 




953 


12,473 


50 


94 


85 


724 


5,874 
59,054 


5,528 
103,832 


1,071 




e Total 


3,305,000 


198,765 




14,423 


184,342 


269 


1,202 


3,521 


9,431 


21,456 




Rate per 100,000 




























inhabitants 




6,014.1 




436.4 


5,577.7 


8.1 


36.4 


106.5 


285.4 


1,786.8 


3,141.7 


649.2 




OREGON 




























ropolitan Statistical 


1,809,491 


























Area actually reporting 


99.9% 


147,208 




12,694 


134,514 


123 


988 


5,197 


6,386 


41.113 


84,731 


8,670 




Estimated totals 


100.0% 


147,362 




12,701 


134,661 


123 


989 


5,199 


6,390 


41,152 


84,831 


8.678 




■r Cities 


404,699 


























Area actually reporting 


99.1% 


28,593 




1,096 


27,497 


20 


123 


235 


718 


6,630 


19,593 


1,274 




Estimated totals 


100.0% 


28,857 




1.106 


27,751 


20 


124 


237 


725 


6,691 


19,774 


1,286 




U 


483,810 


























Area actually reporting 


100.0% 


14.818 




1,023 


13,795 


35 


266 


119 


603 


5,219 


7,707 


869 




e Total 


2,698,000 


191,037 




14,830 


176,207 


178 


1,379 


5,555 


7,718 


53,062 


112,312 


10,833 




Rate per 100,000 














inhabitants 




7,080.7 




549.7 


6,531.0 


6.6 


51.1 


205.9 


286.1 




4,162.8 


401.5 




PENNSYLVANIA 






















opolitan Statistical 




























rea 


10,051,933 


























Area actually reporting 


99.3% 


333,374 




40,326 


293,048 


614 


2,724 


17,763 


19,225 


76,386 


176,506 


40,156 




Estimated totals 


100.0% 


335,148 




40,467 


294,681 


615 


2,730 


17,795 


19,327 


76,746 


177,621 


40,314 




r Cities 


790,936 


























Area actually reporting 


99.0% 


18,716 




1,322 


17,394 


17 


104 


188 


1,013 


3,896 


12.611 


887 




Estimated totals 


100.0% 


18,902 




1,335 


17,567 


17 


105 


190 


1,023 


3,935 


12.736 


896 




d 


1,046,131 


























Area actually reporting 


100.0% 


14,728 




827 


13,901 


27 


149 


100 


551 


6,681 


6,300 


920 




e Total 


11,889,000 


368,778 




42,629 


326,149 


659 


2,984 


18,085 


20,901 


87,362 


196,657 


42,130 




Rate per 100.000 
















inhabitants 




3,101.8 




358.6 


2,743.3 


5.5 


25.1 


152.1 


175.8 


734.8 


1,654.1 


354.4 





Table 5. — Index of Crime, State, 1986 — Continued 



PUERTO RICO 

Metropolitan Statistical 
Area 

Area actually reporting 
Other cities 

Area actually reporting 
Total 



RHODE ISLAND 

Metropolitan Statistical 
Area 

Area actually reporting 

Estimated totals 

Other Cities 

Area actually reporting 
Rural 

Area actually reporting 
State Total 

Rate per 100,000 
inhabitants 

SOUTH CAROLINA 

Metropolitan Statistical 
Area 

Area actually reporting 

Estimated totals 
Other Cities 

Area actually reporting 

Estimated totals 
Rural 

Area actually reporting 
State Total 

Rate per 100,000 



SOUTH DAKOTA 

Metropolitan Statistical 

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 

See footnotes at end of table. 



1,742,157 

100.0% 

1,647,531 

100.0% 

3,390,000 



99.5% 


44.136 


100.0% 


44,288 


62,914 




100.0% 


3,477 


100.0% 


34 


975.000 


47,799 




4.902.5 


2.025,737 




99.9% 


116,785 


100 0% 


116,959 


418,065 




98.5% 


27,135 


100.0% 


27.540 


934,198 




100.0% 


29.042 


3,378,000 


173,541 



100.0% 
341,054 
50.7% 
100.0% 
708,000 



3.180.595 
91.6% 
100.0% 
545,129 
83.8% 
100.0% 
1,077,276 
61.9% 
100.0% 
4,803,000 



1,628 
3.211 
19,229 

2,716.0 



3,271 
335.5 



44,528 

4,567.0 



7,152 

11,553 

191,861 

3,994.6 



16,447 

485.2 



17,742 
525.2 



9,978 

207.7 



13.184 

2745 



38,792 

1,144.4 



45,276 
1,340.3 



Index of Crime, State, 1986 — Continued 



TEXAS 

[etropolitan Statistical 

Area actually reporting 
ther Cities 

Area actually reporting 
ural 

Area actually reporting 

Estimated totals 
tate Total 

Rate per 100,000 
inhabitants 

UTAH 

[etropolitan Statistical 
Area 

Area actually reporting 
ther Cities 

Area actually reporting 

Estimated totals 
ural 

Area actually reporting 
tate Total 

Rate per 100,000 
inhabitants 

VERMONT 

etropolitan Statistical 
Area 

Area actually reporting 
ther Cities 

Area actually reporting 
ural 

Area actually reporting 
ate Total 

Rate per 100,000 
inhabitants 

VIRGINIA 

etropolitan Statistical 
Area 

Area actually reporting 
ther Cities 

Area actually reporting 

Area actually reporting 

ate Total 

Rate per 100,000 
inhabitants 

WASHINGTON 

etropolitan Statistical 

Area actually reporting 

Estimated totals 

;her Cities 

Area actually reporting 

Estimated totals 
jral 

Area actually reporting 

Estimated totals 
ate Total 

Rate per 100,000 



See footnotes at end of table. 



13.393.800 
100.0% 
1.496,5 

100.0% 

1.791,689 

99.3% 

100.0% 

16,682,000 



100.0% 

193,823 

100.0% 

1,665,000 



191,285 
100.0% 

246,184 



447,600 
100.0% 
1,226,712 
100.0% 
5,787,000 



1,123,929 

74.779 

36,861 

37,114 

1,235,822 



lVi.hM 

16.730 



99.1% 


261,891 


100.0% 


264.37C 


375.347 




93.4% 


26,843 


100.0% 


28,743 


484,540 




89.5% 


12,469 


100.0% 


13,927 


4,463,000 


307,040 



3,189 

3,211 

109,925 



17,708 
3060 



19,505 

437.0 



1.024.108 

67,796 

33,672 

33.903 

1,125,897 



74,201 
9.013 



7,480 

7,909 

5.319 
20,708 

3,827.; 



50,664 

5,798 

2.559 
2.577 
59,039 



2,514 
333 



2,991 

179.6 



6,118 

105.7 



307,170 

18,927 

15,543 

15,650 

341,747 



39,147 
2,693 



4,429 
4,947 
83,078 



603,519 

45,600 

15,802 

15,910 

665,029 



5.629 
5,887 



6,847 

7,647 

190,420 



61 



Table S. — Index of Crime, State, 1986 — Continued 



A- 


Population 


2E 


Modified 
total 1 


E? 


•B 


Murder and 
negligent 


Forcible 
rape 


Robbery 


Aggra- 


Burglary 


^ 


theft 


W 


WEST VIRGINIA 




























Metropolitan Statistical 




























Area 


698,040 


























Area actually reporting 


99.9% 


22,768 




1,650 


21,118 


37 


171 


529 


913 


5,669 


13,989 


1,460 




Estimated totals 


100.0% 


22,788 




1,650 


21,138 


37 


171 


529 


913 


5,673 


14,004 


1.461 




Other Cities 


365,097 


























Area actually reporting 


95.4% 


10,429 




507 


9,922 


18 


61 


141 


287 


2,125 


7.245 


552 




Estimated totals 


100.0% 


10,932 




532 


10,400 


19 


64 


148 


301 


2,227 


7.594 


579 




Rural 


855,863 


























Area actually reporting 


100.0% 


10,737 




974 


9,763 


58 


127 


110 


679 


4,099 


4,457 


1,207 




State Total 


1,919,000 


44,457 




3,156 


41,301 


114 


362 


787 


1,893 


11,999 


26,055 


3,247 




Rate per 100,000 




























inhabitants 




2,316.7 




164.5 


2,152.2 


5.9 


18.9 


41.0 


98.6 


625.3 


1.357.7 


169.2 




WISCONSIN 




























Metropolitan Statistical 




























Area 


3.195.939 


























Area actually reporting 


99.4% 


153,513 




10,887 


142,626 


128 


834 


3,377 


6,548 


27,798 


104,387 


10.441 




Estimated totals 


100.0% 


154,334 




10,915 


143,419 


128 


835 


3.383 


6,569 


27,935 


105,013 


10,471 




Other Cities 


537,394 


























Area actually reporting 


99.5% 


23,564 




711 


22,853 


9 


57 


70 


575 


3.344 


18,782 


727 




Estimated totals 


100 0% 


23,689 




714 


22,975 


9 


57 


70 


578 


3,362 


18,882 


731 




Rural 


1,051,667 


























Area actually reporting 


96.1% 


17,305 




683 


16.622 


12 


66 


29 


576 


5,926 


9,790 


906 




Estimated totals 


100.0% 


18,008 




710 


17.298 


12 


69 


30 


599 


6,167 


10,188 


943 




State Total 


4,785,000 


196,031 




12,339 


183,692 


149 


961 


3,483 


7,746 


37,464 


134,083 


12,145 




Rate per 100,000 




























inhabitants 




4,096.8 




257.9 


3,838.9 


3.1 


20.1 


72.8 


161.9 


782.9 


2,802.2 


253.8 




WYOMING 
























































Area 


146,061 


























Area actually reporting 


100.0% 


7,819 




425 


7,394 


13 


33 


53 


326 


1,699 


5,392 


303 




Other Cities 


230,268 


























Area actually reporting 


99.6% 


11,425 




755 


10,670 


6 


56 


46 


647 


1,787 


8,479 


404 




Estimated totals 


100.0% 


11,464 




757 


10,707 


6 


56 


46 


649 


1,793 


8,509 


405 




Rural 


130,671 


























Area actually reporting 


100.0% 


2,808 




304 


2,504 


8 


22 


15 


259 


652 


1,705 


147 




State Total 


507,000 


22,091 




1,486 


20,605 


27 


111 


114 


1,234 


4,144 


15,606 


855 




Rate per 100,000 




























inhabitants 




4,357.2 




293.1 


4,064.1 


5.3 


21.9 


22.5 


2434 


817.4 


3,078.1 


168.6 











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

2 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, 

4 Includes offenses reported by the Zoological Police. 

'Forcible rape figures furnished by the state-level Uniform Crime Reporting (UCR) Program administered by the Illinois Department of 



The 1986 forcible rape totals for most agencies in Illinois were, therefore, estimated 



.1111! I 



able 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1986 

Arson is shown only if 12 months of arson data were received. Leaders (...) indicate zero data. The Modified Crime Index total is the sum c 
offenses, including arson. 



11,379 
13,029 
10,923 
30,510 
15,123 
28,055 

31,578 
286.756 
12,763 
43,704 
52,871 

20,191 
12,727 
13,142 
36,59 
12,220 

47,443 
22,737 
15,335 
151,880 
10,080 

12,638 

208.148 
187,873 
20,073 
15,791 

24,464 
10,306 
13,300 
28,155 
19,894 

40,354 

10,857 
14,817 
27,522 
11,203 

13,275 
20,129 
13,055 
12,903 
16,101 



238,235 
27,973 
24,990 



14,739 
17,257 
54,045 
14,256 

40,401 
123,737 
12,354 
18,770 
210,702 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1986 — Continued 



City by State 


Population 


s 


Modified' 


Murder 
negligent 
slaughter 


Forcible 


Robbery 


Aggra- 


Burglary 


V 


ihefl 


a™. 


ARIZONA— Continued 
























Nogales 


17,522 


1,208 


1,210 


2 


3 


12 


22 


452 


608 


109 




Paradise Valley 


13,924 


541 


546 






4 


15 


228 


273 


21 




Peoria 


18,712 


1,769 


1.777 


1 


1 


14 


51 


450 


1.191 


61 


1 


Phoenix 


927,055 


89,374 


90,032 


122 


567 


2.972 


5,577 


25,586 


48,896 


5,654 


65 


Prescott 


23,332 


1,286 


1,296 


2 


2 


12 


44 


222 


939 


65 


1( 


Scottsdale 


107,673 


7,062 


7,115 


8 


19 


118 


157 


1.684 


4,727 


349 


5 


Sierra Vista 


35,131 


1,249 


1,259 




2 


8 


18 


275 


879 


67 


1( 


Tempe 


128,570 


10,903 


10,953 


7 


53 


194 


391 


1,781 


7,819 


658 


5( 


Tucson 


397,023 


38,840 


39,053 


41 


251 


1,042 


2,310 


9,577 


23,510 


2.109 


21 




50,387 


4,745 


4,785 


4 


25 


79 


338 


1,190 


2,874 


235 


4 


ARKANSAS 




Arkadelphia 


10,100 


134 


134 






3 


19 


16 


92 


4 




Benton 


18,258 


665 


668 




8 


3 


32 


116 


463 


43 




Blytheville 


24,540 


1,969 


1,978 


3 


9 


28 


281 


405 


1.200 


43 




Camden 


16,689 


1,062 


1.068 


3 


15 


30 


256 


186 


535 


37 




Conway 


21,640 


1,113 


1,113 


1 


4 


6 


72 


263 


693 


74 




El Dorado 


25,784 


1.421 


1,427 


5 


8 


35 


103 


367 


854 


49 




Fayetteville 


36,056 


2,202 


2,208 


2 


13 


19 


52 


600 


1,390 


126 




Forrest City 


14,119 


1,336 


1,336 


1 


7 


11 


79 


318 


875 


45 




Fort Smith 


73,313 


5,216 


5,235 


5 


24 


83 


240 


1,088 


3.417 


359 




Harrison 


10,881 


468 


470 




1 


1 


24 


94 


332 


16 




Hope 


10,593 


594 


597 


1 


4 


9 


7 


153 


406 


14 




Hot Springs 


37,196 


4,248 


4,253 


3 


36 


126 


308 


1,035 


2.449 


291 




Jacksonville 


28,648 


1,498 


1,505 




12 


11 


62 


312 


1,035 


66 




Jonesboro 


30,636 


1,446 


1,446 


2 


5 


17 


15 


278 


1,065 


64 




Little Rock 


172,045 


19,943 


20,095 


38 


180 


896 


1,887 


5,140 


10,958 


844 


11 


Magnolia 


12,442 


130 


131 


1 


1 


3 




81 


41 


3 




Malvern 


10,286 


482 


483 


1 




6 


19 


136 


296 


24 




North Little Rock 


65,657 


5,658 


5,685 


10 


47 


166 


538 


1,184 


3,468 


245 


2 


Paragould 


15,730 


839 


848 




2 


3 


25 


174 


585 


50 




Pine Bluff 


56,403 


3,820 


3.870 


7 


27 


89 


446 


951 


2.165 


135 


5 


Rogers 


19,880 


924 


925 




1 


3 


10 


232 


639 


39 




Russellville 


17,372 


1,015 


1,017 




7 


8 


50 


326 


587 


37 




Searcy 


13,967 


728 


746 


2 


1 


3 


16 


87 


595 


24 


1 


Sherwood 


13,467 


554 


555 




1 


1 


7 


95 


426 


24 




Springdale 


25,325 


1.626 


1,634 


1 


8 


9 


72 


291 


1.148 


97 




Stuttgart 


11,099 


321 


321 


1 




11 




39 


261 


9 




Texarkana 


22,641 


2,805 


2,811 




25 


40 


89 


529 


2.014 


108 




Van Buren 

West Helena 


12,959 


663 


664 


2 




4 


7 


234 


370 


46 




11,196 


272 


272 






2 


3 


90 


147 


30 




West Memphis 


28,162 


2,056 


2,059 


5 


22 


75 


114 


596 


1.150 


94 




CALIFORNIA 
























Agoura Hills 


16,622 


474 






1 


11 


29 


126 


259 


48 




Alameda 


76,428 


4,724 


4,763 


1 


31 


198 


193 


870 


3,185 


246 


3 


Albany 


16,189 


797 


806 


1 


5 


53 


82 


182 


416 


58 




Alhambra 


73,021 


4,230 


4,273 


3 


23 


180 


371 


1,026 


2,019 


608 


4 


Anaheim 


245,897 


17.944 


18,036 


11 


111 


695 


540 


5,352 


9.193 


2.042 


9 


Antioch 


48.875 


3,757 


3,873 


4 


17 


92 


186 


937 


2,273 


248 


11 




49,313 
14.554 


2,193 
805 


2,211 
807 


1 


5 


78 
3 


81 


514 
198 


1,205 
548 


302 
31 


1 


Areata 




Arroyo Grande 


14,010 


634 


635 




6 


12 


18 


113 


468 


17 




Artesia 


15,512 


595 




1 


7 


52 


84 


159 


215 


77 




Atascadero 


19,838 


812 


822 




9 


5 


45 


222 


484 


47 


1 


Atwater 


20,572 


1,044 


1,052 


1 


4 


1 1 


60 


288 


634 


46 






34,760 


2,258 
14,634 


2,268 




25 


84 


162 


704 


1.047 


236 




Bakersfield 


137.114 


14,856 


22 




732 


782 


4,453 


7,489 


1.063 


22 


Baldwin Park 


60.433 


3,033 




11 


18 


186 


263 


1.569 


593 


393 





Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1986 — Continued 



CALIFORNIA— Continued 



16.644 
21,064 
29,262 
38,941 
59,812 

25,532 
20,738 
109,262 
34,489 
18,189 

33,432 
68,785 
92.056 
27,430 
17,752 

44,695 
35,573 
10.126 
43,317 
12,011 



89,533 
16,325 
17,123 
58,237 
30,830 



1,928 
3,206 
3,393 



2,763 
7,759 
1,626 



2,80b 
7.785 
1.628 



3,676 
947 
606 



12,965 
92,443 
109,318 



2.674 
2,045 
8,807 
6,725 



2,700 
2,051 
8.834 
6,751 



44.922 
20,782 
90,360 
41,445 
21.072 



40.563 
39.955 
43,974 
85,463 
28,522 



3.165 
1,950 
2,025 
3.436 






15.858 
19.181 
86,040 
28,066 
23,988 



571 
2,697 
2,122 
1,078 



94,326 
15,254 
79,310 
25.869 



2,023 

620 

2,614 

1,771 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1986 — Continued 



City by State 


Population 


2£ 


Modified* 


negligent 
slaughter 


Forcible 


— 


Aggra- 


Burglary 


thefl 


thefl 


Arson- 


CALIFORNIA— Continued 
























Fairfield 


67,693 
10.811 


4,696 
380 


4,725 
382 


1 


34 


128 


260 
29 


855 
127 


3,202 
198 


216 
20 


29 


Fillmore 


2 


Folsom 


16.138 


605 


606 




2 


5 


45 


201 


314 


38 


1 


Fontana ... 


49,294 


4,430 




8 


35 


161 


327 


1,156 


2,403 


340 




Foster City. 


25,399 


975 


978 


1 


1 


9 


40 


167 


718 


39 


3 


Fountain Valley 


58,260 


. 3,021 


3,045 


1 


8 


88 


56 


596 


1,972 


300 


24 


Fremont 


151,491 


6,444 


6,576 


5 


29 


101 


595 


1.514 


3,804 


396 


132 


Fresno 


281,554 


33,201 


33,366 


53 


241 


1,316 


1,816 


9,352 


18.059 


2.364 


165 


Fullerton 


112,569 


6,839 


6,864 


3 


35 


165 


234 


1,642 


4,072 


688 


25 


Gardena 


50,424 


3,547 


3,581 


6 


25 


449 


167 


808 


1,418 


674 


34 


Garden Grove 


136,120 


9,817 


9,870 


12 


50 


455 


530 


2,547 


5,123 


1,100 


53 


Gilroy 


27,070 


1,674 


1,705 




9 


35 


65 


406 


1,076 


83 


3 


Glendale 


155,257 


8,415 


8,552 


5 


21 


226 


296 


1.768 


5,006 


1,093 


137 




41,942 


1,694 






6 


42 


287 


447 


807 


105 




Grand Terrace 


10,375 


392 


393 


1 


2 


9 


15 


159 


174 


32 




Grover City 

Hanford 


10,738 


331 


333 




5 




35 


99 


163 


25 


2 


24,718 


1.624 


1,632 


2 




31 


55 


374 


1,088 


70 


i 


Hawaiian Gardens 


12,361 


812 






4 


74 


94 


264 


306 


70 




Hawthorne 


61,309 


5,116 


5,245 


2 


22 


343 


367 


1,126 


2,380 


876 


125 


Hayward 


104,743 


7,357 


7,415 


5 


34 


253 


487 


1,529 


4,564 


485 


58 


Hemet 


27,486 


2,001 


2,010 


1 


4 


30 


118 


448 


1,288 


112 


S 


Hermosa Beach 


19,364 


1,182 


1,182 


2 


5 


32 


41 


296 


630 


176 




Hillsborough 


11,122 


98 








2 


10 


22 


59 


5 




Hollister 


14,975 


1,012 


1,024 


1 


8 


14 


55 


294 


594 


46 


12 


Huntington Beach 


188,843 


9,515 


9,558 


7 


47 


212 


319 


2.501 


5,518 


911 


4. 


Huntington Park 


52,871 


4,091 




8 


18 


341 


228 


1.042 


1,098 


1,356 




Indio 


26,968 


4,428 




1 


23 


188 


273 


1,235 


2,495 


213 




Inglewood 


104,252 


8,250 


8,361 


32 


89 


950 


799 


2,365 


2,346 


1,669 


11 


Irvine 


81,832 


3,723 


3,768 


3 


17 


31 


81 


978 


2,339 


274 


45 


La Canada-Flintridge 


21,005 


471 






1 


19 


35 


157 


230 


29 




Lafayette 


23,568 


696 






1 


13 


14 


206 


438 


24 




Laguna Beach 


19.452 


1,100 




1 


6 


27 


59 


340 


607 


60 




La Habra 


49,742 


2,485 


2,508 


3 


11 


67 


77 


560 


1,572 


195 


2. 


Lakewood 


78,883 


3,674 


3,692 


1 


21 


189 


292 


816 


1,732 


623 


If 


La Mesa 


55,232 


2,902 


2,914 


4 


11 


80 


163 


802 


1,458 


384 


i; 


La Mirada 


43,136 


1.265 


1,274 


1 


9 


50 


69 


369 


605 


162 




Lancaster 


57,833 


3,089 


3,132 


4 


24 


76 


353 


781 


1.590 


261 


4. 


La Palma 


16,735 


460 


462 




5 


11 


31 


128 


226 


59 


2 


La Puente 


33,866 


2.082 


2,102 


4 


15 


156 


234 


632 


768 


273 


2C 


La Verne 


27,504 


1,068 






13 


37 


50 


302 


567 


99 




Lawndale 


26,574 


1,730 


1.748 


3 


7 


117 


191 


533 


643 


236 


II 


Lemoore 


11,230 


658 


659 




3 


4 


27 


168 


422 


34 




Livermore 


54,404 


2,430 




2 


20 


32 


221 


581 


1,442 


132 




Lodi 


41,968 


3,440 


3,456 


1 


9 


47 


275 


684 


2,207 


217 


It 


Loma Linda 


11,970 


739 


740 




4 


22 


31 


249 


362 


71 




Lomita 


20,703 


890 


898 




6 


53 


66 


302 


376 


87 


i 


Lompoc 


30,898 


1,971 




4 


10 


36 


138 


432 


1,280 


71 




Long Beach 


398,983 


34,396 


34,540 


62 


220 


2,774 


1,783 


8,763 


15,904 


4,890 


144 


Los Alamitos 


12,092 


629 


640 


1 


1 


13 


4 


213 


347 


50 


1 


Los Altos 


29,348 


727 


727 


2 


3 


6 


29 


218 


445 


24 




Los Angeles 


3,260,856 


311,420 


316,837 


834 


2,330 


29,930 


33,284 


64,201 


124,518 


56,323 


5.4I - 


Los Banos 


12,883 


869 


873 




. 


22 


55 


228 


537 


26 




Los Gatos 


29,156 


1,289 




1 


8 


16 


41 


259 


904 


60 




Lynwood 


55,513 


3,620 


3,670 


14 


47 


469 


649 


1.010 


840 


591 


5C 


Madera 


25,866 


1,336 


1.353 


3 


11 


60 


209 


340 


599 


114 


1' 


Manhattan Beach 


34,881 


2,073 


2,076 




7 


55 


57 


498 


1,230 


226 


3 


Manteca 


31,942 


2,813 


2,833 


2 


g 


28 


106 


842 


1,641 


186 


2C 


Marina 


27,809 


640 


648 




8 


21 


31 


211 


346 


23 


! 


Martinez 


26,397 


1,393 






5 


14 


45 


458 


759 


112 





Number of Offenses Known to the Police, Cities and Towns 10,000 and 



1986 — Continued 



City by State 


Population 


3f 


Modified* 


and non- 
negligent 

slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 


Burglary 


theft 


vehicle 
iheft 


Arson- 


CALIFORNIA— Continued 
























sville 


11.091 


1,150 


1.168 




7 


31 


135 


159 


738 


80 


18 


ilaywood 


25,799 


878 




2 


7 


77 


75 


281 


271 


165 




denlo Park 


27.459 


1.531 


1,543 


1 


6 


52 


92 


355 


939 


86 


12 


ilerced 


46,593 


3,754 


3,773 


1 


9 


82 


142 


893 


2,478 


149 


19 


dillbrae 


21.146 


645 


648 




1 


22 


9 


132 


426 


55 


3 


dill Valley 


13,308 


589 








8 


18 


165 


371 


27 




lilpitas 


43,904 


3,018 


3,035 




32 


58 


527 


552 


1,707 


142 


17 


•lodesto 


128,715 


11,116 


11,190 


6 


61 


244 


395 


2,904 


6,781 


725 


74 


Monrovia 


33,846 


2,090 


2,103 


1 


7 


128 


143 


554 


1.042 


215 


13 


dontclair 


26,508 


3,101 


3,113 


3 


26 


171 


165 


897 


1.405 


434 


12 


dontebello 


59,371 


3,475 


3,492 


2 


15 


154 


141 


805 


1,679 


679 


17 


Monterey 


30,271 


2.119 


2,129 




16 


33 


88 


451 


1.443 


88 


10 


Monterey Park 


61,560 


2,541 


2.548 


1 


6 


135 


83 


681 


1,091 


544 


7 


>!oorpark 


13,570 


337 


341 


1 


2 


4 


18 


119 


170 


23 


4 


doraga 


15,246 


239 


239 




1 


1 


5 


56 


167 


9 




Morgan Hill 
blorro Bay 


20,571 


1,025 


1,046 






14 


87 


205 


650 


65 


21 


10,172 


337 


342 


■ 


2 


5 


19 


76 


212 


22 


5 


■fountain View 


65,065 


4,071 


4,088 


I 


24 


77 


97 


583 


3.091 


198 


17 


■iapa 


56,653 


3,740 


3,821 


2 


19 


30 


385 


770 


2,364 


170 


81 


National City 


58,985 


5,137 


5,149 


4 


27 


375 


220 


819 


2,357 


1,335 


12 


Newark 
Newport Beach 


37,567 


2,321 


2,328 




10 


43 


168 


412 


1.590 


98 


7 


69,392 


4.119 


4,152 


1 


16 




134 


1,016 


2.612 


296 


33 


forwalk 


92,076 


3,835 


3,866 


9 


24 


237 


460 


1,060 


1.454 


591 


31 




47,638 
370,556 

95,108 
111,909 


1,484 
45,947 
5,646 
9,202 


46356 
5,666 
9,511 


1 

129 

17 


14 
538 
52 
60 


24 

3,787 

220 

404 


90 

2,531 

525 

881 


384 
12.231 
1.504 
2.966 


896 

22,672 
2.656 
3,855 


75 

4,059 

680 

1,019 


15 


Jutland 


409 




20 


)ntano 


309 


Jrange 


102,092 


6,528 


6,653 


3 


25 


192 


281 


1.886 


3,498 


643 


125 


)roville 


10,538 


1,302 


1,309 


1 


9 


16 


94 


400 


697 


85 


7 


)xna rd 


127,578 


8,476 


8,514 


13 


94 


398 


640 


2.234 


4,466 


631 


38 


'acifica 


38,324 


987 


998 


1 


6 


26 


80 


211 


589 


74 


11 


'acific Grove 


16,746 


647 






6 


12 


40 


183 


383 


23 




'aim Spnngs 


38,288 


3,510 




7 


29 


98 


234 


1,147 


1.737 


258 




»alo Alto 


59,025 


3,961 


3,981 


2 


9 


78 


51 


635 


3,016 


170 


20 


'alos Verdes Estates 


15.027 


316 


318 


1 


3 


1 


28 


70 


194 


19 


2 


'almdale 


19,575 


1,704 




1 


14 


50 


230 


508 


756 


145 




'aradise 


25,556 


636 


647 




5 


1 


28 


261 


310 


31 


11 


'aramount 


42.389 


2,858 


2.880 


9 


16 


181 


322 


843 


1,052 


435 


22 


'asadena 


131,650 


10,086 


10,158 


13 


46 


568 


748 


2,491 


5,057 


1.163 


72 


>aso Robles 


10,761 


1,150 


1.157 


6 


6 


20 


63 


351 


621 


83 


7 


'etaluma 


38,451 


1,724 


1,751 




9 


40 


67 


545 


985 


78 


27 


>.co Rtvera 


59,275 


2,895 




5 


12 


155 


423 


988 


953 


359 




'iedmont .. 


11,030 


342 


346 






20 


12 


86 


208 


16 


4 


3 inole 


15,133 


1,012 


1,013 




1 


26 


69 


224 


612 


80 


1 


'ittsburg 


40,686 


2,756 


2,771 


6 


19 


188 


330 


1,022 


1,007 


184 


15 


'lacentia 


39,111 


1,609 


1,641 


3 


6 


38 


86 


591 


761 


124 


32 


feasant Hill 


28,194 


1,726 


1,734 




5 


39 


37 


406 


1,144 


95 






40,430 


1.708 


1,721 




7 


25 


52 


377 


1,158 


89 


13 


'omona 


112,651 


9,914 


10.060 


28 


63 


729 


1.128 


3,011 


3,837 


1,118 


146 


Porterville 


24,393 


2,880 


2,911 


3 


12 


54 


145 


1.022 


1,497 


147 


31 


Port Hueneme 


20,710 


803 


805 




4 


38 


60 


213 


431 


57 


2 


fcancho Cucamonga 


66,620 


3,008 


3,038 


3 


12 


74 


125 


1.272 


1,240 


282 


30 


lancho Palos Verdes 


48,898 


736 






2 


23 


57 


238 


341 


75 




led Bluff 


11,563 


1,144 


1,147 




5 


7 


166 


167 


756 


43 


3 


Redding 


50,876 


4,153 


4,165 


3 


28 


63 


293 


1,114 


2,420 


232 


12 


Redlands 


52,119 


2,674 


2,682 


4 


12 


68 


121 


696 


1,514 


259 


8 


ledondo Beach 


64,361 


3,868 


3,887 




26 


128 


111 


993 


2,045 


565 


19 


Redwood City 


58,630 


3,296 


3,314 


3 


30 


97 


402 


592 


1,965 


207 


18 


Reedlev 


13,613 


841 


849 




3 


5 


168 


182 


458 


25 


8 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1986 — Continued 



negligent 

sl.iu^iik-i 



CALIFORNIA— Continued 



Rialto 
Richmond 
Ridgecrest . 



Riverside 
Rohnert Park 
Rosemead 

Roseville 

Sacramento 



San Clemente 
San Diego 
San Dimas 
San Fernando.. 
San Francisco.. 



San Francisco Highway Patrol 

San Francisco Sheriff 

San Francisco State Police 

San Gabriel 

Sanger 



San Jose 

San Juan Capistrano 

San Leandro 

San Luis Obispo 
San Marino 



San Mateo 
San Pablo .... 
San Rafael 
San Ramon 
Santa Ana ... 



Santa Barbara 

Santa Clara 

Santa Cruz 

Santa Fe Springs 

Santa Maria 



Santa Monica 
Santa Paula .... 

Santa Rosa 

Saratoga 

Seal Beach 



Seaside 



Sierra Madre 

Simi Valley 

South El Monte. 



South Gate 

South Lake Tahoe 
South Pasadena 



Stanton 

Stockton 

Suisun City 

Sunnyvale 

Temple City 

Thousand Oaks 

Torrance 



47,031 


3,492 


80,162 


9,251 


24,643 


890 


191,908 


16,845 


29,691 


1,610 


48,202 


2,292 


29,864 


2,188 


320,256 


35,069 


92,244 


8,818 


12,531 


406 


137,304 


16,337 


36,550 


1,681 


26,552 


904 


31,379 


1,116 


1,011,376 


79,747 


28,488 


1,099 


19,867 


1,478 


750,544 


56.637 



722.560 
22,646 
69,301 
37,200 
14,199 

83,549 
22,265 
46,608 
25,550 
237,356 

80,952 
94,673 
46,446 
15,791 
48,959 

96,179 
23,105 
96,160 
31,186 
27,519 

39,669 
12,992 
11,442 
89,137 
19,423 

79,728 
22,251 
24,661 
53,361 
27,644 

180,760 
15,443 

116,464 
31,958 
98,306 

139,922 



38,979 

952 

5,282 

2,053 



5,291 

5.050 
1.922 
3.751 

9,117 
1,181 
6,598 



2,314 
2,204 
35,330 



39,361 

973 

5,303 

2,066 



6,042 
3,441 
2,626 

22,624 

5,080 



2,407 

1,228 

177 

2,841 



72K 
2,255 



.1.220 

7,968 



3,985 
29 
122 

5.085 



153 


653 


4,767 


13,028 


1,169 


2,937 


1,07.1 


3,623 


1,074 


3,309 


491 


877 


789 


2,534 


1,700 


5,238 


311 


630 


1,751 


4,047 



'able 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1986 — Continued 



CALIFORNIA— Continued 



ulare 



23,625 
26,866 
33.057 
41,422 



win Cities 
kiah 
nion City 

acaville . 



22,795 
13.486 
49,580 
55,365 
51 



allejo 

entura 

ictorville 

'alnut 

'alnut Creek 
'atsonville 

'est Hollywood 

Tlittier 

'oodland 

orba Linda 
uba City 



93,562 
91,038 
20,602 
58,812 
16,595 



>,:-:■>;-: 
94,327 
35,803 
77,095 



8,852 
5.119 
2,149 



2,179 
2.238 

2.972 



COLORADO 



iirora 

julder 

ighton 

'oomfield 

mon City 

dorado Springs 
jmmerce City 

raig 

tnver 

urango 

lglewood 

Kt Collins 

olden 

rand Junction 

reeley 

ifayette 
ikewood 
ttleton 

mgmont 

)veland 

orthglenn 

leblo 

erling 
lomton 

estminster 

heat Ridge 



92,343 
200,189 
79,875 
14,204 
23,953 

14,093 
254.629 
17.619 
10,511 
518,625 

13,122 
31,365 
72,688 
10,106 
14,532 

34,141 
56,281 
12,653 
124,482 
32,557 

50,023 
34,777 
10,305 
31,210 
102,747 



47,602 
61,714 
31,257 



3,909 
17,816 
6,480 
1,039 



572 
22,833 
2,090 



2,341 

5,537 

603 

10,861 



548 
3,( 

4.741 
2.499 



3,483 
2,083 



551 
3,727 
4,767 
2,521 



13,749 

1,460 

270 

27,238 



2,207 
2.830 
1,483 



CONNECTICUT 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1986 — Continued 



City by State 


Population 


££ 


Modified' 
total 


Murder 
negligent 


Forcible 


— 


Aggra- 


Burglary 


■s> 


~ 


Arson- 


CONNECTICUT— Continued 
























Berlin 


15,730 


364 


366 




1 


! 


1 


80 


248 


33 




Bethel 


16,929 


232 


234 






5 


3 


59 


150 


11 




Bloomfield 


19,233 


1,058 


1,060 




5 


31 


22 


241 


676 


83 




Branford 


24,766 


672 


673 






3 


8 


111 


492 


56 




Bridgeport 


143,708 


14,012 


14,075 


40 


75 


1,043 


829 


3.313 


6,256 


2.456 


6 


Bristol 


58,708 


1,724 


1,729 




2 


22 


170 


505 


950 


75 




Brookfield 


13,716 


302 


306 




3 


2 


11 


76 


197 


13 




Cheshire 


23,206 


450 


464 




3 


4 


11 


128 


277 


27 


1 


Clinton 


11,928 


253 


254 






5 


7 


92 


133 


16 




Cromwell 


10,680 


356 


358 




1 


12 


6 


57 


248 


32 




Danbury 


63,937 


2,543 


2,553 


2 


13 


44 


31 


534 


1,733 




j 




18,706 


572 


578 






5 


6 


146 


368 


44 




Derby 


12,231 


517 


535 




1 


14 




149 


303 


46 


j 


East Hartford 


52,592 


3,135 


3,145 




13 


89 


81 


703 


1,980 


263 


1 


East Haven Town 


25,474 




890 


1 


1 




15 


177 


583 


67 


3 


Enfield 


42,717 


1,800 


1,822 




6 


19 


51 


363 


1.205 


156 


2 


Fairfield 


54,020 


2,052 


2,057 


2 


4 


17 


32 


570 


1,212 


215 




Farmmglon 


17,193 


667 


667 




1 


5 


11 


167 


439 


44 




Glastonbury 


25,923 


768 


770 




2 


2 


21 


153 


560 


30 




Greenwich 


59,351 


1,737 


1,741 


1 




13 


14 


286 


1,288 


135 




Groton 


10,110 


398 


401 




1 


2 


11 


88 


269 


27 




Groton Town 


31,978 


1,316 


1,321 


1 


22 


16 


46 


267 


907 


57 




Guilford 


18,678 


628 


630 








11 


185 


397 


34 




Hamden 


51,671 


2,292 


2.295 


, 


11 


61 


29 


424 


1,568 


198 




Hartford 


137,217 


19,887 


20,102 


28 


104 


1,675 


1,162 


4.661 


10,259 


1,998 


21 


Madison Town 


15,293 


416 


416 








3 


157 


250 


6 




Manchester 


49,780 


2,071 


2,071 




21 


31 


29 


452 


1,386 


152 




Meriden 


58,629 


2,544 


2,600 


1 


15 


58 


49 


758 


1.505 


158 


5 


Middletown 


39,286 


1.415 


'416 


, 


15 


45 


55 


436 


744 


119 




Milford 


52,069 


2.111 


2,i23 


1 


10 


34 


34 


405 


1,255 


372 


1 


Monroe 


15,045 


365 


403 




1 


4 


16 


91 


240 


13 


3 


Naugatuck 


29,309 


608 


620 






3 


17 


162 


374 


52 


1 


New Britain 


73,337 


5,494 


5,515 


3 


33 


248 


164 


1.361 


3,303 


382 


2 


New Canaan 


17,987 


236 


236 


j 








67 


149 


19 




New Haven 


125,558 


14.416 


14,510 


17 


138 


1,174 


945 


3.455 


7,206 


1,481 


9 


Newington 


29,376 


875 


876 


1 


2 


9 


11 


204 


593 


55 




New London 


28,799 


2,332 


2,342 


1 


7 


87 


79 


729 


1,249 


180 


1 


New Milford 


21,217 


584 


589 




5 


4 


14 


178 


323 


60 




Newtown 


20,492 


276 


277 


2 






43 


83 


128 


20 




North Branford 


12,062 


283 


287 






1 


5 


81 


182 


14 




North Haven 


22,146 


671 


676 






6 


10 


165 


434 


56 




Norwalk 


79,051 


5,286 


5,292 


3 


7 


125 


111 


1.487 


3,104 


449 




Norwich 


38,829 


1.798 


1,804 


2 


7 


44 


76 


372 


1,169 


128 




0range 


13,120 


1.001 


1,001 




3 


11 


27 


114 


775 


71 




Plainfield 


13,609 


216 


221 


1 






5 


65 


108 


37 




Plainville 


17,298 


596 


601 




1 


1 1 


11 


149 


386 


38 




Plymouth 


11.067 


232 


234 




3 


2 


9 


80 


115 


23 




Ridgefield Town 


21,317 


253 


255 






2 


4 


74 


154 


19 




Rocky Hill 


15,770 


477 


481 




2 


5 


18 


129 


272 


51 




Seymour 

Shelton 


13,473 


216 


216 


1 




2 


5 


50 


133 


24 




33,622 


690 


692 






2 


2 


124 


488 


74 




Simsbury 


22,160 


365 


367 






2 


21 


67 


258 


17 




Southington 


38,299 


1,247 


1,261 




13 


14 


31 


400 


688 


101 


1 


South Windsor 


19,144 


392 


394 




I 


4 


34 


103 


206 


44 




Stamford 


103,041 


7.076 


7,135 


6 


17 


364 


429 


1,637 


3.912 


711 


5 


Stomngton 


16,723 


563 


563 






4 


4 


114 


416 


25 




Stratford 


50,912 


2,250 


2,271 


2 


4 


61 


76 


553 


1,294 


260 


2 


SufTield 


10,113 


118 


120 






3 


* 


36 


70 


3 




rorrington 


31,662 


1,069 


1,080 


1 


15 


10 


72 


252 


647 


72 


1 



able 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1986 — Continued 



CONNECTICUT— Continued 

umbull 

allingford 

aterbury 

aterford 

est Hartford 
est Haven 

estport 

ethersfield 

illimantic 

ilton 

indsor Locks 

olcott 



17,924 

19,718 
60,891 
53.939 
25,640 

25,923 
14,971 
15,760 
26.351 
12,046 

12,955 



2,803 
2,434 
1,295 



2,823 
2,461 
1,299 



;wark 

ilmington 



1,537 
1,315 
3.498 



DISTRICT OF COLUMBIA 

ashington 



FLORIDA 

tamonte Springs 

lie Glade 

ica Raton 

tynton Beach 

adenton 

isselberry 

earwater 

icoa 

coa Beach 

iconut Creek 

K>per City 

iral Gables 

iral Spnngs 

inia 

ivie-Hacienda Village 

lytona Beach 

*rfield Beach 

: Land 



25,741 
16.832 
17,926 
59.395 
41,554 

37.897 
46,699 
20,241 
102,410 
20,465 

13.006 
14,316 
14.307 



60,020 
44,360 
19,495 



2.149 
1,526 
2,532 
3,802 
3.867 



2.340 
2.487 
9,120 
2.824 
2.053 



2,169 
1,530 

2,575 
3,807 



1,128 
7,747 
2,013 



:lray Beach 
inedin 

Igewater 



i5".j:h 



irt Myers 
irt Pierce 
irt Walton Beac 



40,679 
38,742 
23,421 
88,393 
20,717 



5,654 
6,667 
1,655 



12,485 



Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1986 — Continued 



City by Slate 


Population 


total 


Modified' 


Murder 
negligent 
slaughter 


Forcible 


Robbery 


Aggra- 
vated 


Burglary 


■w 


g 


Arson- 


FLORIDA— Continued 
























Haines City 


13,118 


1,072 


1,073 


3 


2 


31 


55 


271 


669 


41 




Hallandale 


39,392 


3,091 


3,092 


3 


12 


214 


248 


660 


1,670 


284 




Hialeah 


161,948 


13,601 


13,689 


21 


37 


685 


769 


2,899 


6,983 


2,207 


8! 


Holly Hill 


11,424 


1,023 


1,023 


1 


4 


17 


50 


257 


644 


50 




Hollywood . 


127,831 


12,323 


12,361 


n 


42 


570 


559 


2.864 


7,380 


897 


3i 


Homestead 


22,267 


3,212 


3.242 


7 


12 


256 


280 


895 


1,446 


316 


3C 


Jacksonville 


616,668 


59,410 


59,857 


119 


618 


2,985 


4,281 


16,498 


31.668 


3,241 


44' 


Jacksonville Beach 


18,976 


2,581 


2.591 


1 


9 


76 


208 


467 


1,647 


173 


K 




17,025 


1,557 


1,558 




1 


20 


43 


429 


963 


100 




Key West 


26,441 


3,339 


3,344 


3 


16 


73 


127 


1.132 


1,761 


227 




Kissimmee 


22,989 


2,795 


2,798 




17 


76 


299 


604 


1.672 


124 




Lakeland 


57,818 


6,663 


6,683 


7 


35 


277 


379 


1.704 


4,021 


240 


2( 


Lake Worth 


29,877 


4,039 


4,051 


4 


25 


156 


249 


1,390 


1,896 


319 


i; 


Largo 


66,712 


3,412 


3,428 


4 


11 


54 


219 


1,000 


2,020 


104 


k 


Lauderdale Lakes 


28,408 


1,468 


1,471 


4 


13 


93 


54 


408 


788 


108 




Lauderhill 


43,749 


2,762 


2,765 


2 


18 


156 


132 


708 


1,513 


233 




Leesburg 


14,139 


1,422 


1,425 




5 


49 


86 


456 


768 


58 




Lighthouse Point 


11,987 


315 


316 






13 


3 


60 


213 


26 




Longwood 


12,738 


866 


870 




3 


23 


149 


165 


496 


30 




Margate 


41,052 


1,498 


1,499 




13 


45 


35 


370 


926 


109 




Melbourne 


55,784 


5,344 


5,352 


8 


11 


123 


488 


1,179 


3,344 


191 




Miami 


396,374 


58,728 


58,936 


148 


221 


5,767 


5,540 


12,371 


26,265 


8,416 


20 


Miami Beach 


101,902 


13,655 


13,712 


16 


14 


718 


334 


3.783 


7,408 


1,382 


5 


Miami Springs 


12,629 


1.417 


1,422 


1 


3 


89 


45 


302 


767 


210 




Miramar 


37,947 


1,440 


1.446 


3 


2 


99 


58 


522 


624 


132 




Naples 


20,654 


1.588 


1.589 


1 


7 


38 


74 


240 


1,170 


58 




New Port Richey 


13,216 


1,220 


1,224 


1 


3 


7 


63 


311 


796 


39 




New Smyrna Beach 


15,276 


1,321 


1.323 


2 


8 


20 


51 


312 


859 


69 




Niceville 


10,956 


238 


239 


1 


3 


1 


7 


59 


140 


27 




North Lauderdale 


22,506 


1.100 


1,103 


4 


II 


19 


56 


285 


686 


39 




North Miami 


45,306 


4,369 


4,383 


7 


9 


333 


168 


1.058 


2,218 


576 


j 


North Miami Beach 


38,177 


3,726 


3,732 


4 


10 


250 


174 


758 


2,055 


475 




North Palm Beach 


12,666 


673 


673 


1 


5 


23 


6 


218 


355 


65 




Oakland Patk 


25,505 


4,271 


4,281 


2 


13 


197 


152 


925 


2.627 


355 


It 


Ocala 


45,605 


5.797 


5.814 


4 


25 


187 


304 


1.696 


3,403 


178 


1 


Ocoee 


11,862 


482 


486 




4 


5 


27 


105 


307 


34 


4 


Opa Locka 


15,817 


2,747 


2,771 


14 


7 


178 


406 


649 


1,241 


252 


It 


Orange Park 


10.599 


542 


543 






9 


37 


112 


354 


30 




Orlando 


145,882 


17,797 


17,895 


14 


172 


1,229 


2,001 


4.335 


9,134 


912 


9 


Ormond Beach 


26,743 


1,580 


1,580 




9 


30 


43 


320 


1,105 


73 




Palatka 


11,349 


1,402 


1,402 


2 


4 


58 


113 


352 


836 


37 




Palm Bay 


35,743 


2,333 


2,345 


4 


14 


30 


135 


780 


1.269 


101 


i; 


Palm Beach 


11,340 
20,083 


599 


600 






8 


4 


91 


476 


20 




Palm Beach Gardens 


1,267 


1,272 


1 


4 


27 


47 


233 


854 


101 




Palmetto 


10,266 


1,230 


1,232 


2 


3 


47 


131 


206 


812 


29 




Panama City 


36,237 


3,628 


3,640 


7 


25 


54 


137 


654 


2.609 


142 


i 


Pembroke Pines 


45,952 


2,476 


2,481 


3 


4 


60 


120 


533 


1.614 


142 




Pensacola 


65,945 


4,914 


4.931 


11 


38 


157 


452 


1.268 


2.830 


158 


i 


Pinellas Park 


41,232 


2,538 


2,550 


2 


13 


46 


126 


684 


1.554 


113 


■ 


I'l.iut.ilion 


54,961 
19,081 


4,822 
2,562 


4,830 
2.565 


3 


5 
13 


129 
108 


203 
224 


858 

797 


3,174 
1,310 


452 
107 




Plant City 




Pompano Beach 


69,403 


9,812 


9,843 


15 


64 


459 


1.054 


2.398 


5.098 


724 


3 


Port Orange 


27,377 


1.031 


1,033 




4 


6 


65 


220 


703 


33 




Port Saint Lucie 


30,478 


990 


994 


2 


14 


6 


33 


361 


531 


43 




Riviera Beach 


29,615 


5,623 


5,640 


7 


49 


321 


635 


1,745 


2,222 


644 


1 


Rockledge 


14,112 


1,286 


1,287 


1 


6 


28 


42 


299 


874 


36 




Safety Harbor 


11,334 


533 


538 




3 


7 


33 


167 


312 


11 


! 


Saint Augustine 


13,068 


1.243 


1,246 


2 


1 


47 


60 


244 


845 


44 


. 


Saint Cloud 


10,082 


580 


581 


1 


4 


5 


26 


133 


391 


20 





Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1986 — Continued 



256,667 
10.334 
30.201 
55.655 
10,362 



33,984 
293,030 
15.858 
12.318 



40.519 
15,159 
18,108 
71.921 

13.320 



2.350 

839 

1,797 

14,710 



23,377 
25,064 
18,817 



88,864 
17,245 
44,495 
445,617 
48,133 



3.261 
63,068 
3.368 



19,974 
28.833 
182.836 



3.477 
2.967 
9,473 
1,057 



3,485 
9,548 



18,660 
17,326 
40,310 
11,209 
19.216 

15,939 
22,873 
10,335 
12,452 
125,246 

40,360 
14,365 
16.219 



73 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1986 — Continued 



City by State 


Population 


Crane 


Modified" 


negligent 
slaughter 


Forcible 


Robbery 


Aggra- 
assault 


Burglary 


";=- 


vltle 


*— 


GEORGIA— Continued 
























Thomasville 

Valdosta 

Vidalia 

Warner Robins 

Waycross 


19,193 
40,521 
11,460 
46,431 

19,907 


1,132 
6,093 
72 
2,490 
1,416 


2,494 


2 
2 


81 

26 
8 


32 
108 

55 
76 


63 

386 

2 

163 

72 


312 
1,993 
15 
765 
416 


684 

3,248 

53 

1,353 

780 


33 
268 

126 
62 




HAWAII 
























Hilo 


38,094 
823,306 


2.388 
46.455 


2,405 
46.842 


46 


18 
241 


17 
1,052 


46 

737 


543 
10,675 


1,665 
30,846 


98 
2,858 


] 


Honolulu 


38 


IDAHO 
























Blackfoot 

Boise 

Caldwell 

Chubbuck 


10,121 
107,434 
18,352 
10,781 


372 
7,559 
1,855 

460 


375 
7,622 
1,861 

460 




3 
56 
3 


56 
15 


7 
306 
121 


76 

2,055 

460 

55 


264 
4,754 
1,200 

397 


22 

332 
56 
8 


6 


Idaho Falls 


41,870 
28,114 
17,548 
27,410 
45,438 


2,625 
1,526 
795 
2,322 
2,591 


2,638 
1,536 
798 
2,333 
2,607 




13 
4 
3 

10 
5 


11 
3 
9 

21 
12 


67 
27 
28 
58 
64 


503 
362 
91 
447 
398 


1,933 
1,046 
639 
1,691 
2,014 


98 
82 
25 
94 
95 


1 


Lewiston 

Moscow 

Nampa 

Pocatello 


2 
1 


1 

1 
1 


Rexburg 


12,297 
28,233 


733 
2,118 


734 
2,127 


1 


, 


1 
10 


7 
55 


100 
370 


618 
1,607 


7 
69 




Twin Falls 




ILLINOIS 2 
























Addison 


30,885 
17,967 
33,255 
69,085 
86,040 










7 
11 

129 
15 

172 


31 
35 

165 
34 

307 


309 
182 
836 
395 
1,541 


1,074 
570 
1,814 
1,517 
3,387 


92 
157 
136 
118 
246 




Alton 

Arlington Heights 

Aurora 






8 
2 
9 


2 
4 


Bartlett 

Batavia 

Belleville 

Bellwood 

Belvidere 


15,309 
13,598 
42,359 
20,628 
15,496 


556 
1,538 


1.544 


' 


6 


5 
15 
54 


29 
16 
62 
87 
19 


120 
175 
472 
212 
108 


370 
343 
887 
557 
556 


17 
17 
95 
140 
30 




Bensenvtlle 


16,319 
45,821 

13,480 
46,774 
22,377 


1,013 


1,021 






17 
55 
8 
43 
25 


25 
48 
18 
163 

37 


156 
519 
114 
658 
209 


717 
1,019 

912 
2,099 

479 


98 
425 
116 
101 
204 




Berwyn 

Bloomingdale 

Bloomington 

Blue Island 


1 




2 


Bolingbrook 

Bourbonnais 

Bradley 

Bridgeview 

Brookfteld 


39,650 
13,487 
11,374 
14,472 
19,318 


404 


404 


1 




19 
7 
7 

18 


60 

29 
25 


308 
79 
161 
174 
88 


518 
296 
537 
619 
276 


95 
13 
41 
102 
30 


1 


Buffalo Grove 


25,168 
28,154 
18.360 
40,084 
13,513 


2,999 


3,007 


1 

1 


3 


12 

47 
1 


11 
35 
46 
58 

15 


74 
206 
191 
471 
163 


545 
756 
834 
1,629 
258 


25 
42 
48 
791 
11 




Burbank 

Cahokia 

Calumet City 

Canton 




Carbondale 

Carol Stream 

Carpenters ville 

Centralia 


25,323 
19,007 
23,898 
14,972 
10,018 






1 




35 
7 
7 
17 
15 


23 
65 

46 

42 


248 
141 
245 
225 
82 


1,133 
748 
828 
656 
23 


44 
44 
48 
22 
9 


1 






Centreville 


6 




Champaign 

Charleston 


60.572 

19,232 

3,003,105 






2 

7+4 




158 

7 

30.918 


432 

8 

33,529 


1,610 
161 

56,274 


3.219 

235 

121.751 


300 

10 

48.511 


2 

2,62 



Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1986 — Continued 



ILLINOIS'— Continued 



61,368 
20,218 

15,225 



Modified' 
Index 



15.984 
17,315 
31.645 
57,300 



24.327 
42,616 
21,546 
22,251 



12,781 
11,384 
67,835 
30.584 

43,805 
23,541 
72,330 
21,438 
12,034 

15,445 
17,735 
25,993 
33,575 
10,221 

26.763 
24,068 
34,275 
10,402 
35,850 



32,520 
10,759 
35.539 
14,188 
10.811 



14.137 
31 
16,638 
40,621 



20,187 
76,760 
10,549 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1986 — Continued 



ILLINOIS'— Continued 



Murder 
negligent 
slaughter 



Loves Park 
Machesney Park 
Macomb 

Marion 

Markham 



14.066 
20,345 
19,243 
14,633 
15,321 



Matteson 
Mattoon 
Maywood 
McHenry 
Melrose Park 



11,288 
19,431 

27,518 



Midlothian 
Moline 
Monmouth 
Morton 
Morton Grove 



10.457 
13,974 

23,553 



Mount Prospect 
Mount Vernon 
Mundelein 
Murphysboro 
Naperville 

Niles 

Normal 

Norridge 
Northbrook 
North Chicago 

Northlake 
Oak Forest 
Oak Lawn 
Oak Park 
OTallon 



53,580 
17,733 
17,604 
10,130 
51.032 



12,315 
27,100 
58,839 
55,202 
13,489 



Orland Park 
Ottawa 
Palatine 
Palos Heights 
Palos Hills 



18.049 
32,353 
10,880 
16,834 



Park Forest 
Park Ridge 
Pekin 

Peru 



26.488 
37,754 
32,950 
117,530 
10,563 



Pontiac 

Prospect Heights 
Quincy 
Rantoul 
Richton Park 



.314 



Riverdale 
River Forest 
River Grove 
Rock Falls 
Rockford 



Rock Island 

Rolling Meadows 

Romeoville 

Roselle 

Round Lake Beach 

Saint Charles 

Sauk Village 



45,637 
21,906 
15,453 
15,635 
13,743 

18,1 



• Number of Offenses Known to the Police, Cities 



Towns 10,000 and over in Population, 1986 — Continued 



59,875 

23,878 
101,931 
15.726 
25.238 
14,131 

11,552 



negligent 
slaughter 



61,839 
13,497 
52,277 
19,233 
16,691 

13,216 

16,679 
43.146 
10,205 

1 30,477 



3,353 

538 

6,655 



3,377 
539 

6.722 



165,599 
143,254 
20,408 
11,454 
21,902 

16.691 
89.463 
24,585 
22,633 
16,346 



470.591 
21.397 
45.435 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1986— Continued 



City by State 


Population 


££ 


Crime 


Murder 
negligent 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 


Burglary 


'=' 


theft 


Arson 


INDIANA— Continued 
























Logansport 


17,456 
36,297 
11,951 


977 
296 


977 
1,683 


1 

3 


2 
5 


7 
25 
2 


54 
87 
9 


82 
290 

27 


811 
1,195 
241 


20 
78 
17 






Martinsville 




Merrillville 

Michigan City 

Mishawaka 

Muncie 

Munster 


27,182 
36,190 
41,145 
74,272 
20,398 


998 
2,504 
2,694 
3,850 

649 


1,003 
2,507 
2,715 
3,885 
650 


3 

7 
1 


16 
11 

24 


32 
65 
25 
71 
3 


44 
51 
114 

5 


91 
756 
377 
1,109 
40 


679 
1,382 
2,009 

2,291 
554 


147 
231 
157 
265 
46 




New Castle 


18,641 
13,282 
10,050 
28,880 
40,025 


1,078 
549 
319 
1.176 
1,679 


1,103 
552 
319 
1,189 
1,702 


1 

2 
3 


2 

3 

7 


9 


24 
26 
43 
7 


254 
67 
36 
255 
306 


722 
441 
245 
775 
1,212 


49 
13 
11 
84 
86 






14 
58 




Portage 

Richmond 




Schererville 

Seymour 

South Bend 

Speedway 

Valparaiso 

Wabash 


14,121 
15,557 
107,235 
12,669 


638 

10.814 
483 


381 

10,869 

483 


17 


1 
84 


2 
8 

298 
12 


30 
421 
13 


61 

84 

3,206 

69 


258 

484 

6,373 

338 


58 
31 
415 

47 






12,194 
10,826 


230 
364 


232 
364 






2 
5 




45 
14 


168 
334 










IOWA 
























Ames 

Ankeny 

Bettendorf 


44,247 
16,111 
27,407 
12,268 
27,955 


2,197 
803 

1,037 
472 

1,816 


2,213 
808 

1,042 
472 

1,824 


2 


6 

5 
3 


12 
3 
6 
1 

12 


126 
25 
29 
3 

132 


251 
117 
240 
64 

457 


1,700 
633 
724 
381 

1,167 


100 

25 
33 
18 
45 




Burlington 






34,840 
106,482 
30,948 
55,797 


1,165 
8,613 
1,940 
4,334 


1,171 
8,662 
1,944 
4,386 




3 
12 

3 
22 


3 
109 
11 
104 


30 
110 

17 
218 


117 
1,845 

345 
1,084 


984 
6,145 
1,483 
2,615 


28 
390 

81 
288 




Cedar Rapids 

Clinton 

Council Bluffs 

Davenport 

Des Moines 

Dubuque 

Fort Dodge 

Fort Madison 

Indianola 


2 
3 




186,991 

59,016 
27,199 
12,716 
10,495 


21.683 

3.017 

2,369 

636 

408 


21,917 

3,075 

2,378 

637 

415 


18 


89 
2 


442 
19 
10 
1 


741 
110 
151 
8 
13 


4,884 
684 
525 
122 
103 


14,696 
2,064 

1,577 
475 
281 


813 
138 
106 
30 
11 




Iowa City 

Keokuk 

Marion 

Marshalltown 

Mason City 


49,958 
13,198 
20,082 
26.327 
29,498 


2,816 

414 

706 

1.198 

2,172 


2,850 

415 

706 

1,209 

2,191 


1 


21 

2 
2 


15 

3 
1 

20 


155 
3 
7 
97 
88 


508 
123 
168 
294 
346 


2,021 
271 
505 
773 

1,641 


96 

12 
21 
31 

74 




Muscatine 

Newton 

Oskaloosa 


23,656 
14,711 
10,868 
26,260 
80.121 


965 
634 
538 
992 
6,571 


638 

543 

994 

6.617 


1 


4 

3 

3 
23 


9 

5 
7 
68 


20 
12 
55 
12 
314 


143 
117 
107 
255 
1,843 


738 
481 
356 
656 
4,087 


49 

12 
59 
234 




Sioux City 


2 




Spencer 

Urbandale 

Waterloo 

West Des Moines 


11,391 
19,431 
74,138 
22,491 


643 
1,047 
4,391 
1,779 


643 
1,052 
4,429 
1,782 




29 
4 


1 

13 
62 
18 


7 
32 
238 
34 


105 
253 

375 


525 

718 

2,763 

1,313 


30 
130 
34 




1 
1 




KANSAS 
























Arkansas City 


13,393 
11,509 
10,991 
14,727 


777 
466 
337 
921 


783 
471 
342 
929 






7 


57 
27 
14 
45 


162 

84 
76 
187 


520 
330 
239 
645 


31 
19 
7 
29 






2 






1 




Coffeyville 


8 


7 





Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1986 — Continued 



\t,.,liiu-,r 



Murder 
negligen! 

skiui'hlri 



19,729 
11,378 

27,342 



54,707 
35,398 
14,618 

23,584 



13,212 
24.368 
43,337 
30,229 



26.247 


1,057 


43,958 


2,755 


46,484 


3,847 


13.018 


387 


16,895 


643 


14,382 


644 


17,390 


1,135 


15,624 


142 


26,838 


1,194 


11,632 


291 


12,663 


138 


25.532 


1,487 


27.901 


1,737 


19.771 


668 


10.432 


13,486 


90,230 


18,665 


16,867 


94C 


10,138 


296 



12,321 
55.797 
29,134 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1986 — Continued 



City by Slate 


Population 


total 


Modified* 


negligent 
slaughter 


Forcible 


Robbery 


Aggra- 


Burglary 


theft 


theft 


., 


KENTUCKY— Continued 
























Shively 


15,447 
11,315 
16,035 


916 
396 
676 


916 
396 
681 


1 

1 


2 
2 


39 
2 
3 


70 
13 
14 


211 

75 
76 


512 
286 
558 


81 
18 
23 












LOUISIANA 
























Alexandria 


52,985 
16,713 
246,388 
17,060 
55,015 


5,203 
809 
35,642 
1,169 
3,854 


5,231 

35,793 
1,169 
3,874 


20 
51 


28 
16 

181 
12 
27 


7 

1,224 

22 

71 


335 
33 
3,635 
104 
344 


1,312 
139 

9,610 
323 
640 


3,222 

592 

18,775 

662 

2,550 


200 

21 

2,166 

217 




Bastrop 

Baton Rouge 

Bogalusa 

Bossier City 


1 


Gretna 


16,628 
20,536 
11,065 
39,527 
12,591 


578 
2,004 

442 
2,223 

690 


580 
2,008 

444 
2,234 

690 




2 
8 

1 
11 

1 


12 
110 
3 
36 
5 


48 
148 

16 
172 
107 


243 
455 
93 
532 
141 


246 
1,118 

305 
1,403 

423 


25 
164 
24 
66 
13 




Houma 

Jennings 






Lake Charles 

Leesville 

Minden 

Monroe 


83,321 
75,728 
11,507 
15,545 
56,451 


10,071 

4,713 

768 

502 

4,476 


10,117 
4,720 

503 

4,477 




75 
9 
3 
1 

32 


232 
58 
12 
8 
69 


839 
152 
98 
133 
761 


2,067 

1,016 

132 

149 

1,093 


6,523 

3,293 

507 

196 

2,367 


323 
180 
14 
14 
151 




Morgan City 

Natchitoches 

New Iberia ... 

New Orleans 

Pineville 


15,461 
16,619 
36,181 
563,927 
13,495 


944 
816 
1.460 
56,889 
569 


946 
819 

57,220 
572 


197 


2 

3 

3 

456 


15 

13 

44 

5.165 


22 
126 
17 
3,347 
12 


373 
217 
358 
11,561 
127 


489 
440 
1,007 
26,697 
406 


42 

16 

31 

9,466 

18 


3 


Ruston 

Shreveport 

Tallulah 

West Monroe 

Westwego 

MAINE 


21,751 
221,895 
11.218 
16,221 


901 

21,016 

492 

1,049 


21,121 
497 
1,051 


45 


109 
8 


2 

651 
7 
6 


63 

1,202 

109 

52 


5,170 
153 
157 


697 

13,019 

211 

807 


20 

820 

5 

18 


' 


























23,299 
21,681 
31,293 
10,405 


826 
1.191 
2,121 

360 


828 
1,208 
2,152 

364 




5 
2 
7 


5 
5 

27 
2 


6 

37 
43 
11 


150 
152 
453 
52 


616 

953 
1,496 
280 


44 
42 
95 
15 
































17,804 
10,705 
40,000 
62,736 
11,253 


706 

167 

2,506 

7,267 

352 


718 

170 

2,511 

7.346 

352 




1 


8 
2 

24 
146 


15 

107 
378 


139 
54 
604 
1,247 
51 


524 

89 

1.679 

5,121 

274 


19 
13 

81 
345 
22 






3 
2 




Lewiston 

Portland 
Presque Isle 


8 
28 




Saco 


13,850 
18,867 
12,089 
23,252 
18,010 


679 
775 
487 
1,486 
955 


687 
789 
490 
1.505 
962 


1 


1 
5 
2 
6 
7 


4 

4 
2 
10 


2 
16 
3 
9 
37 


150 
167 
131 
171 
115 


503 
549 
321 
1.235 
762 


18 
33 
28 
55 
34 




Scarborough . 

South Portland 
Waterville 




Westbrook 

Windham 


15,482 
12,480 


647 
491 


650 

497 




5 


6 

3 


14 
2 


122 

132 


464 
340 


36 

14 




MARYLAND 


























11,808 
32,732 
783,542 


895 
2,874 
66,273 

3 


900 

2.939 

67,031 

3 


240 


23 
660 


24 

73 

7,989 


88 

204 

6,340 


168 

780 

14.321 


542 

1,618 

29,850 

3 


63 

173 

6,873 










7 


Baltimore City State Police 








Cumberland 


24,720 


1,063 


1,069 




1 


7 


26 


213 


786 


30 





rable 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1986— Continued 



M.»l .f 



MARYLAND— Continued 



.aurel 

tockville 

alisbury 

"akoma Park (Montgomery County) 
'akoma Park (Prince Georges County). 



32,778 


2,319 


17,089 


968 


33.90C 


1.79C 


11,865 


748 


12,232 


1,151 


46,244 


476 


17,133 


2,026 


10,775 


593 



17,777 
10,24 
26,9 1: 
14,649 
32,999 

27,364 



25,55 
574,107 
15,084 

17,919 
96,461 
53.618 
93,084 
18,285 

31,335 
56,799 
24,987 
24,544 
13.625 

23.035 

16,285 

12, 

17,824 

36.728 

92,584 
25,155 
39,976 
14,473 



34.830 
29,205 
I .. 309 



9,213 
2,707 

h.477 



696 
2,139 

!.5b0 



0.485 


26,553 


254 


476 


74 


113 


2,470 


3,299 


581 


1,412 


1,419 


3.033 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1986 — Continued 



MASSACHUSETTS— Continued 



negligent 
slaughter 



Ludlow 
Lynn 

Lynnfield 

Maiden 53,922 

Marblehead 19.872 

Marlborough 31,737 

Marshfield 22,01 1 

Medfield 10,627 

Melrose 29,296 

Methuen 38,675 

Middleboro 17,218 

Milford 24,258 

Millbury 11,752 
25,849 

Natick 30,377 

Needham 27,472 

New Bedford 98,318 

Newburyport 16,643 

Newton 

North Adams 17,490 

Northampton 29,352 

North Andover 21,799 



Northboro 

Northbndge 

Norton 

Norwood 

Oxford 



10.805 
12,338 
13,234 
21.090 



Peabody 
Pembroke 
Pittsfield 
Quincy 
Reading 

Sandwich 
Saugus 

Seekonk 
Sharon 

Shrewsbury 
Somerville 
Southbridge 
South Hadley 
Spencer 

Springfield 

Stoneham 

Stoughton 

Sudbury 

Swampscott 

Swansea 

Taunton 
Walpole 
Waltham 
Wareham 

Watertown 

Webster 

Wellesley 

Westboro 

Westfield 

Westford 



22,679 

10,820 
25.463 
17,376 
12,428 
14,281 

22,682 
76.286 
16,728 
16,412 
11,332 

151,347 
22,583 
27,287 
14,076 
13,579 



W..-SI.III 



able 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1986 — Continued 



Minified' 



negligent 



MASSACHUSETTS— Continued 



Weymouth 

Wilbraham 

Wilmington 

Winchester 

Woburn 

Worcester 



Hen Park 
lpena 

uburn Hills 
attle Creek 

edford Townsri 
enton Harbor 



Timet! Township 
icanaba 
irminglon 
irmmgton Hills 

HTidale 

int 

int Township 

arden City 

enesee Township 
rand Blanc Township 
rand Haven 
rand Rapids 



27,125 
13,053 
54.595 

12,238 
17,546 
20,140 
37,472 
160,792 



20,505 
10.558 
31,851 
11,619 
108.461 

15.515 
54,747 
40,227 
10,060 
14,532 



enton Township 

srnen Spnngs-Oronoko 
:verly Hills 
ig Rapids 
irmingham 
lackman Township 
loomfield Township 
ridgeport Township 
rownstown Township 

iiena Vista Charter Towr 

adillac 

anton Township 

hesterfield Township 

lawson 
lio-Vienna 
avison Township 
earbom 
earborn Heights 



etroit 

e Witt Township 

ist Detroit 

ist Grand Rapids 

ist Lansing 



29,357 
10.586 
59.446 
19.662 



15.445 
13,652 
87,597 
63,543 



1,096.947 
10.535 
36,086 
11,511 
47,081 

13,503 
11.126 
14,496 
10,222 
63,500 

25,379 
150.098 
34.245 



24.497 
24,913 
11,946 
184,340 



1,839 
23,582 
2,443 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1986— Continued 



Modified* 



Aggra- 


Burglary 


Larceny- 


Motor 


assaull 






theft 


12 


97 


409 


34 


24 


80 


167 


25 


14 


117 


515 


200 


13 


66 


357 


38 


16 


73 


200 


20 


10 


63 


310 


10 


254 


633 


803 


769 


22 


159 


1.328 


441 


215 


368 


1,205 


389 


515 


838 


1.421 


925 


58 


291 


1,160 


53 


685 


1,094 


2,302 


172 


1,315 


2,504 


5,823 


334 


44 


275 


579 


34 


58 


245 


1,638 


98 


1,057 


3,107 


6,607 


468 


18 


104 


366 


29 


11 


58 


197 


9 


180 


574 


1,908 


575 


248 


804 


2,912 


1,098 


99 


374 


1.361 


515 


22 


89 


820 


32 


35 


225 


591 


197 


32 


135 


1,187 


52 


65 


156 


589 


66 


108 


438 


1,034 


218 


135 


463 


893 


182 


19 


119 


729 


24 


35 


86 


192 


22 


949 


916 


2,616 


127 


233 


387 


1,136 


55 


5 


167 


566 


22 


63 


205 


598 


22 


8 


104 


322 


17 


10 


120 


424 


33 


26 


104 


468 


27 


45 


285 


1,209 


186 


138 


433 


1,010 


592 


17 


81 


207 


7 


52 


200 


669 


45 


33 


243 


908 


146 


8 


48 


252 


24 


1.517 


2,147 


3.147 


800 


69 


281 


1,667 


73 


124 


353 


1,452 


64 


124 


310 


509 


140 


6 


115 


325 


65 


175 


634 


1.170 


431 


116 


819 


2.924 


672 


89 


723 


2,201 


572 


1.204 


2.280 


3,685 


299 


49 


214 


1.113 


74 


97 


750 


2,190 


494 


31 


164 


518 


33 


44 


302 


1.093 


168 


212 


1.330 


3,759 


2,786 


59 


311 


1,364 


352 


348 


960 


3,562 


664 


21 


67 


228 


4 



MICHIGAN— Continued 



Grandville 



Green Oak Township 
Grosse Pointe Park 
Grosse Pointe Woods 
Hamburg Township 
Hampton Township 

Harper Woods 
Hazel Park 
Highland Park 
Holland 

Jackson 

Kalamazoo 

Kalamazoo Township 

Kentwood 

Lansing 



Lansing Township 
Leoni Township 
Lincoln Park 
Livonia 
Madison Heights 

Marquette 
Melvindale 
Midland 

Mount Clemens 



Mount Morris Township 

Mount Pleasant 

Mundy Township 

Muskegon 

Muskegon Heights 

Muskegon Township 

Niles 

Niles Township 

Northville Township 

Norton Shores 

Nov. 

Oak Park 

Oscoda-Ausable Township 

Owosso 

Pittsfteld Township 

Plymouth 

Pontiac 
Portage 
Port Huron 
River Rouge 

Riverview 

Romulus 

Roseville 

Royal Oak 
Saginaw 

Saginaw Township 
Saint Clair Shores 
Sault Sainte Marie 
Shelby Township 
Southfield 

Southgate 
Sterling Heights 
Summit Township 



10,270 

19,653 
15,217 

20,443 
26.080 
28,360 

37,974 
77,792 
21,302 
34,363 
128,909 

10,135 
13,833 
43,517 
101,098 
34,610 

21,825 
11,746 
38,199 
22,005 
18,892 

26,969 
22,565 
10,886 
39,843 
14,362 

14,391 
12,531 
12,445 
13,738 
21,532 

24,966 
30,737 
14,496 
15,728 
13,225 

10,205 

71,493 

40,129 

33,6 

12,058 

14,222 
24,017 
52,424 
67,930 
74,234 

37,801 
72,220 
14,043 
40,887 
73,943 

30,967 
110.241 
21,314 



2.685 

2,051 
2,316 
4,360 
1,573 



338 
8,440 
2, 



:,6w 

2,054 
2,322 



3,397 

5,238 

:.45ti 



342 
8,469 
2,127 

1.171 



ible 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1986 — Continued 



negligent 



11,179 


96 


15,519 


1,926 


21,419 


675 


67,897 


4,792 


19,443 


1,113 


15,842 


813 


53,148 


10,643 


21,293 


1,77; 


44,555 


1,653 


81,737 


4.918 


22,317 


950 


11.206 


680 


32,122 


1,530 


62,010 


3,384 


23,476 


2,497 



10,756 
15.525 
26,553 



50,981 
39.478 
10,668 



20,655 
24.940 
86.690 
27.902 



29.638 
22,902 
13.631 
20,274 
14.578 



27,768 
27,638 
29,734 

11.308 
362.845 
42,170 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1986— Continued 



MINNESOTA— Continued 



New Brighton 

New Hope 

New Ulm 

Northfield 

North Saint Paul 



23,103 
23,397 
13,834 
13,170 



Owatonna 
Plymouth 

Ramsey 

Red Wing 

Richfield 
Robbinsdale 
Rochester 
Roseville 
Saint Cloud 



14.285 
18,446 
40,949 
11,234 
14.096 

37,022 
14,104 
58,883 
35,098 
42,1 



Saint Louis Park 

Saint Paul 

Shakopee 

Shoreview 

South Lake Minnetonka 



43,487 
269,250 
10,632 
21,087 
10,065 



2.289 

21.613 

666 



1,650 

10,994 

457 



South Saint Paul 

Stillwater 

Virginia 

West Saint Paul 

White Bear Lake 



20.929 
12,736 
10.094 
18,435 

23.691 



Willmar 

Winona 

Woodbury 
Worthington 



16.263 
24,908 
14,093 
10,019 



MISSISSIPPI 



Brookhaven . 

Clarksdale 

Clinton 

Columbus 

Connth 



15,821 
28.956 
12,691 



Greenwood 
Grenada 
Gulfport 
Hattiesburg 
Jackson 



21,289 
12.988 
41,661 

42,364 

210.985 



Laurel 

Long Beach 
McComb 
Meridian 
Moss Point 



21 

16,081 
12,230 
47,858 
19,136 



Natchez 
Oxford 
Pascagoula 
Pearl 

Starkvilk 



22,672 
10,370 
30,398 
20,558 
16,893 



Vicksburg 
Yazoo City 



25,753 



>le 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1986 — Continued 



Cily by State 


Population 


total 


Modified* 


negligent 


Forcible 


Robbery 


Aggra- 


Burglary 


U tMt y ' 


theft 


Arson- 








slaughter 
















MISSOURI 
























old 


19,883 


704 


713 


2 


2 


9 


23 


156 


465 


47 


9 




14,117 


419 


421 


1 




2 












sfontaine Neighbors 


12,000 


427 


428 




, 


5 


2 


21 


360 


38 


. 




14, Ml 


603 


607 




6 


1 


37 


95 


432 


32 


4 


eley 


16,683 


754 


759 


3 


10 


32 


40 


256 


317 


96 


5 


Springs 


30,404 


1,460 


1,476 




6 


8 


9 


325 


1,032 


80 


16 


ge<on 


18,195 


1,191 






4 


26 


96 


232 


696 


137 




z Girardeau 


34,792 


1,992 


2,012 


2 


2 


27 


44 


250 


1,586 


81 


20 


hage 


11.325 


435 






4 


6 


15 


98 


301 


11 




ton 


14,185 


830 


831 


2 


4 


21 


11 


189 


580 


23 


1 


mbia 


64,031 


4.310 


4,337 


t 


19 


53 


159 


734 


3,224 


120 


27 


twood 


12,340 


410 


411 




1 


9 


1 


51 


307 


41 


1 


e Coeur 


10,883 


414 


414 


2 


1 


4 


6 


58 


298 


45 




lsior Springs 


10,649 


472 


480 


1 


1 


7 


14 


102 


330 


17 


8 


uson 


24,215 


1.016 


1,019 


1 


7 


34 


38 


274 


529 


133 


3 


issant 


56,601 


1.289 


1,293 


3 


7 


22 


38 


242 


897 


80 


4 


on 


10,704 


394 


394 




2 


2 


16 


85 


266 


23 




lstone 


26,354 


764 


769 


1 


2 


13 


42 


150 


499 


57 


5 


ldview 


25,626 


1,449 


1,459 




8 


47 


35 


352 


879 


128 


10 




19,406 


1.071 


1,078 




2 




76 


238 


730 


21 


7 


slwood 


15,974 


790 


794 


4 


3 


13 


28 


143 


500 


99 




pendence 


113,427 


5,868 


5,924 


4 


28 


114 


309 


1,420 


3,579 


414 


56 


rson City 


35,420 


1.610 


1,614 


1 


10 


20 


79 


255 


1,201 


44 


4 


ings 


17,543 


1,776 


1,781 


2 


4 


69 


124 


235 


1,185 


157 


5 


n 


40,112 


2,522 


2,546 


4 


15 


23 


202 


425 


1,691 


162 


24 


sasCity 


448,237 


54.378 


54,932 


116 


460 


3,442 


5,655 


13,525 


24,375 


6,805 


554 


nett 


10,205 


573 


574 




4 


5 


100 


80 


363 


21 


1 


wood 


28,316 


996 


998 




4 


21 


9 


202 


680 


80 


2 


non 


10,124 


516 


517 




1 


3 


8 


107 


365 


32 


1 


Summit 


33,177 


1,108 


1,119 


1 


5 


9 


23 


274 


681 


115 


(] 


lewood 


10,620 


556 


558 




2 




20 


79 


373 


64 


2 


shall 


13,025 


292 




2 




2 


5 


71 


210 


2 




CO 


11,987 
13,468 


281 
564 


286 






1 


6 

50 


87 


204 


2 


5 


erly 




3 




ho 


10,074 


534 






1 


. 


58 


90 


353 


28 




lion 


10,061 


611 


618 






5 


57 


104 


413 


32 


7 




19,271 


1,096 


1,099 




3 


26 


33 


206 


747 


81 


3 




31,641 


1,122 


1,123 


\ 


3 


39 


37 


266 


672 


104 




mond Heights 


11,347 


617 


620 






20 


16 


77 


423 


77 


3 




13,812 


636 


638 




1 


12 


47 


138 


419 


19 


2 


Ann 


15,423 


945 


945 






14 




93 


673 


165 




Charles 


47,766 


1,769 


1,785 




18 


18 


77 


433 


1,117 


106 


16 


Joseph 


75,732 


4,342 


4,419 


3 


15 


53 


223 


1,319 


2,536 


193 


77 


Louis 


434,298 


51,188 


51.721 


195 


373 


3,326 


5,995 


12,523 


21,641 


7,135 


533 


Peters 


22,150 


836 




1 




11 


6 


153 


625 


40 




ia 


20,334 


992 


995 


1 


2 


5 


26 


148 


763 


47 


3 


ton 


17,915 


869 


873 


1 


5 


10 


22 


201 


610 


20 


4 


gfield 


138,534 


11,470 


11,535 


5 


40 


133 


199 


2.716 


7,951 


426 


65 


ersity City 


43,429 


2,466 


2,489 


7 


18 


82 


123 


749 


1,230 


257 


23 


ensburg 


13,214 


972 


984 




9 


3 


24 


257 


659 


20 


12 


ter Groves 


23,419 


579 


584 


1 


1 


14 


20 


117 


387 


39 


5 


MONTANA 
























gs 


69,407 


6,166 


6,176 


4 


17 


46 


74 


1,083 


4,707 


235 


10 


pell 


11,001 


1,310 


1.317 


1 


1 


4 


65 


146 


1,019 


74 









87 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1986 — Continued 



negligent 



Alliance 

Beatrice 

Bellevue 

Columbus 

Fremont 

Grand Island 
Hastings 
Kearney 
La Vista 



Norfolk 
North Platte 
Omaha 
Scottsbluff 



Boulder City 

Henderson 

Las Vegas Metropolitan 
Department Jurisdictn 

Sparks 



NEW HAMPSHIRE 

Bedford 

Berlin 

Claremont 

Concord 

Derry 

Dover 

Durham 

Exeter 

Goffstown 

Hampton 

Hudson 
Keene 

Lacoma 
Lebanon 
Londonderry 

Manchester 

Merrimack 

Nashua 

Portsmouth 

Rochester 



NEW JERSEY 

Aberdeen Township 

Asbury Park 
Atlantic City 
Bayonne 
Belleville 

Bellmawr 
Bergenfield 
Berkeley Heights 
Berkeley Township 
Bernards Township 



10,199 
12,558 
32,190 
18,535 
23,901 

39,640 
22,955 
23,542 
10,718 
179.488 

20,155 



12,881 
15,237 
32,493 
22,464 

24,686 
12,574 
12,240 
12,970 



16.050 
22,682 
17,610 



18.843 
16,912 
37,284 
64,848 
35,759 



26,012 
12,728 

28,070 



1,416 
36,187 



9,077 

2,470 



i>le 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1986 — Continued 



NEW JERSEY— Continued 



negligent 



>mfield 

:k Township 

Igelon 

Igewater Tow 

lington 



47,663 
59.149 
18.885 
29.912 
10.745 



ar Grove Tow 
rry Hill 



11.802 
83.291 

20.288 
12,354 

70.29*) 



Harbor Township . 
ibeth 
wood Park 



!'-'.:v. 



ingswood 

lford Township 
an Township 
ville Township 
tford Township 



21,310 
76,463 
15,978 

24.560 
14,861 
14.500 
24.502 
14.842 



Brunswick Townshif 
Windsor Township 



70.073 
18,418 
39,735 
77,399 
22,541 



ewood 

ham Townshi| 
lg Township 
Lawn 



23,999 
25,689 
35,538 
31,910 

10.642 



ham Park 10,593 

Lee 33,555 

iklin Township (Gloucester County)-- 13,804 

iklin Township (Somerset County) 34,372 

hold 10,266 

hold Township 20,282 

oway Township 16,683 

ield 27,238 

sboro 14,708 
i Rock 



icester City 

censack 
ionfield 
ion Township 

:ilton 

ilton Township 



36.216 
12,245 
16,620 

85.657 
11.332 

12.528 



rouck Heights 

2t Township 
land Park 



12.091 
18.724 
23,419 
13,534 



Table 6. — Number of Offenses Known to the Police. Cities and Towns 10,000 and over in Population, 1986 — Continued 



Modified' 



negligent 
slaughter 



NEW JERSEY— Continued 

Hillsborough Township 

Hillsdale 

Hillside Township 

Hoboken 
Hopatcong 
Hopewell Township 



Howell Township 
Irvington 

Jackson Township 
Jefferson Township 
Jersey City 

Keansburg 

Lacey Township 
Lakewood 
Lawrence Township 

Linden 

Lindenwold 

Little Falls Township 

Livingston 

Lodi 



Long Branch 

Lower Township 

Lyndhurst Township 

Madison 

Mahwah Township 

Manalapan Township 
Manchester Township 

Manville 

Maple Shade Township 
Maplewood Township . 



Marlboro 
Maywood 
Medford Township 

Metuchen 

Middlesex 



Middle Township 

Middletown Township 

Millburn Township 

Mlllville 

Monroe Township (Gloucester County) 



Monroe Township (Middlesex County) 
Monlclair 

Montville Township 

Moorestown Township 

Morristown .. 

Morns Township 

Mount Holly 

Mount Laurel Township 

Mount Olive Township 

Neptune Township 

Newark 

New Brunswick 

New Milford 

New Providence 

North Arlington 

North Bergen Township 

North Brunswick Township 

North Plainfield 



11,085 

28,922 
62,652 
27,193 
16,999 
226,135 

10,755 
35,921 
16,193 
40,304 
21,646 

37,942 
18,638 
12,250 
28,217 
23,995 

29,822 
19,107 
20,545 
15,638 
13,487 



22,695 
10,023 
19,716 
13,512 
13,530 

12,712 
68,183 
19.467 
25,474 
22,965 



244 

904 
6,437 
1,901 

328 
19,505 



246 

913 

6,491 

1,904 

329 

19,598 



47,984 
25,173 
19,143 



Number of Offenses Known to the Poli 



Towns 10,000 and over in Population, 1986 — Continued 



29,124 

13,360 
15,244 
24,049 
55,056 
31,543 

13,879 
26,729 
50,928 
54,407 
140,765 



Murder 
negligent 
slaughter 



31,341 
34,718 
14,132 
13,927 

38,895 



1.565 

2,539 

473 



11,030 
12,657 
14.273 
26,931 
13,376 

18,960 
11,519 
12,131 
10,284 
12,589 

25,473 
13,209 
10,993 
20,093 
20,926 

13,476 
19.959 
19,029 
14.092 
31,303 



15,234 
10,565 
12,209 
18,730 



12.076 
21,249 
39,500 

13,084 



93.344 
57,475 
51,512 



3,801 
1,874 
2,060 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1986 — Continued 



City by State 


Population 


sr 


Modified* 


Murder 
negligent 
slaughter 


Forcible 


Robbery 


Aggra- 


Burglary 


•V 


theft 




NEW JERSEY— Continued 
























Ventnor City 


12,195 


492 


492 




1 


10 


12 


147 


310 


12 






14,012 
53,898 
18,275 
10,795 


362 
4,114 
1,216 

163 


365 
4.150 
1,223 

163 


2 


3 

43 


140 
19 


24 

255 

10 

6 


64 

1,049 

147 

35 


236 

2,386 

861 

115 


31 

239 

178 

6 
























19,854 
10,531 
10,156 
10,078 
31,099 


676 
235 
251 
61 
1,100 


686 
236 
254 
61 
1,104 




2 




8 

18 
4 
6 

45 


196 
61 
48 
11 

282 


429 
144 
195 
42 
651 


37 
12 

2 

93 




Wanaque 

Warren Township 

Washington Township (Bergen County) 
Washington Township (Gloucester 
County) 






















2 


3 


24 




Washington Township (Morris County) 

Wayne Township 

Weehawken Township 

West Caldwell 

West Deptford Township 


13.583 
48,570 
13.541 
11,375 
18,504 


236 
2,927 
1,030 
319 
410 


237 
2,930 
1,032 

320 








10 
29 
55 
6 
9 


48 
256 
215 
26 
27 


157 
1,813 
568 
256 
330 


21 
795 
162 
29 
40 






2 
2 


32 

28 

1 








Westfield 

West Milford Township 

West New York 

West Orange 

West Paterson 


30,878 
24.147 
41,830 
40,322 
11,479 


784 
679 
2,549 
1,592 
664 


785 
688 
2,551 
1,605 
671 




1 
3 
5 
15 
2 


16 

57 
23 
15 


9 

22 
118 
39 
17 


128 
166 
445 
363 
88 


609 
455 
1,289 
926 

451 


21 

33 
633 
223 

91 




2 
3 




Westwood 

Willingboro Township 

Winslow Township 

Woodbndge Township 

Woodbury 


11,007 
40,006 
23,203 
94,798 
10,496 


344 
1,639 

798 
4,852 

551 


345 
1,648 

819 
4,885 

551 




2 
11 
9 

10 


6 

51 
11 

9 


5 
66 
53 
90 
26 


74 
650 
270 
798 
100 


233 
761 
408 
2,925 
358 


24 
100 

47 
959 

58 








Wyckoff 


15,997 


222 


222 








3 


53 


161 


5 




NEW MEXICO 
























Alamogordo 

Albuquerque 

Carlsbad 

Clovis 


28,553 
364,196 
29,538 
34,723 
11,021 


1,936 
35,516 
2,016 
2.100 
809 


1,957 
35,675 
2,029 
2,107 
809 


49 

3 
2 
2 


2 
247 
5 
34 
1 


2 

1,248 

12 
7 


183 
2,748 
65 
132 
49 


551 
9,746 
390 
447 
187 


1.119 
19.490 
1,484 
1,412 
537 


79 

' 58 
61 
26 




Farmington 

Grants 
Las Cruces 
Las Vegas City 


38,782 
21.773 
10,189 
52.228 
15.961 


3.124 
2,759 
545 
4,994 
1,653 


3,150 
2,763 
546 
5.006 
1.655 


6 

2 


29 
22 
10 
19 

5 


49 
36 
2 
57 
13 


213 
319 
144 
186 
217 


623 
338 
90 
1.313 
400 


2,029 
1,848 

278 
3,189 

963 


177 
190 

2! 
224 

53 




Lovington 


12.159 
10,862 
12,788 

47,478 
11.442 


672 
701 
578 
3,197 
864 


676 

707 

578 

3,203 


6 


5 

6 
23 
1 


31 


29 
88 
3 
157 
70 


118 
208 
184 
871 
116 


478 
372 
346 
2,004 
644 


31 
28 
38 
105 
31 




Rio Rancho 
Roswell 
Silver City 




NEW YORK 
























Albany 

Amherst 
Amsterdam 
Auburn ..... 
Batavia 


99,657 
108,505 
21,362 
32,211 
16,447 


5,901 

2,965 

460 

970 

633 


5,946 

2,978 

460 

972 

633 


8 

1 
1 


71 
4 

1 


238 
45 

8 
1 


422 
197 

9 
10 

7 


1.904 
539 
171 
136 
116 


2,956 
1.956 
257 

778 
495 


302 
224 
20 
30 
12 




Blooming Grove Town 
Buffalo 


13.607 
54,614 
10,786 
339,685 
28,904 


445 
2,466 

175 

467 


447 

2,482 

175 

25,547 

471 


2 
2 

35 


12 
281 


15 

25 

1 

1,533 


31 
21 
21 
1.906 
60 


175 
321 
48 
6,729 
119 


200 

2,002 

94 

11,303 

257 


21 
83 
11 
3.102 
28 





92 



6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1986 — Continued 



Aggra- 
vated 


Burglary 


theft 


6 


32 


149 


88 


372 


1,231 


2 


57 


351 


22 


139 


276 


13 


459 


2,184 


37 


72 


273 


7 


224 


755 


16 


60 


404 


15 


52 


213 


6 


48 


199 


32 


66 


295 


27 


431 


1,620 


5 


61 


411 


6 


34 


106 


3 


63 


162 


3 


71 


137 


63 


470 


1,001 


32 


180 


461 


20 


148 


420 


8 


216 


958 


1 


29 


153 


40 


106 


514 


5 


107 


215 


17 


78 


195 


8 


151 


512 


19 


301 


2,175 


90 


359 


1,512 


5 


53 


292 


9 


144 


271 


65 


30 


304 


39 


350 


1,367 


21 


90 


845 


210 


202 


700 


23 


86 


174 


154 


347 


722 


27 


434 


720 


30 


106 


297 


'5 


86 


216 


9 


152 


521 


2 


80 


357 


34 


279 


811 


17 


92 


216 


301 


981 


2,004 


44 


47 


397 


80 


235 


772 


9 


57 


114 




36 


261 


36 


88 


238 


117 


599 


1,405 


62 


207 


430 


57,306 


124,382 


281,713 


120 


1,154 


2,500 


30 


111 


516 


19 


54 


101 


10 


230 


586 


13 


84 


208 


3 


116 


416 


8 


100 


755 


7 


58 


343 



NEW YORK— Continued 



cero Town 
arkstown 

Town 

hoes 

Ionie Town 



st Greenbush Town 
dicott 



.hkill Town 
>ral Park 
edonia 
eeport 

lton 

irden City 

ttes 

Sddes Town 

ens Falls 

enville Town 



■eenburgh 

lie Park 
mestown .. 
hnson City 

ncaster Village 

mg Beach 
nbrook 
amaroneck Town 



iddletown 

Dunt Pleasant 

ount Vernon 

iwburgh Town 

:w Castle 

:w Hartford Town & Village 

:w Paltz Town & Village 

Rochelle 
:w Windsor Town 
:w York 
agara Falls 
ikayuna Town 

rth Greenbush Town 
rth Tonawanda 
den 



23,147 
78,159 
47,942 
17,812 
74,933 



13,379 
33,529 
14,492 

14,926 

17,137 

10,992 

40.1 

13,625 

22,674 
30,351 
11,374 
14,695 
16,165 

21,179 
17,656 
83,461 
40,505 
23,159 
22,656 
21.020 
35,736 
17,259 
24,55: 



13,413 
24,683 
34,355 
20,314 



21,746 
179.609 
66,578 
18.290 



densburg 



93 



Table 6. — Number of Offenses Known to the Police, 


Cities and Towns 


0,000 and over in 


Population, 1986— Continued 






City by State 


■— 


?„z c 


Modified' 


Murder 
and non- 
negligent 


Forcible 
rape 


Robbery 


Aggra- 


Burglary 


■w 


then 


Arso 


NEW YORK— Continued 


























14,595 
35,817 
23,838 


418 
685 
749 


422 
751 


1 


1 

7 
1 

5 


2 
3 
3 

7 


72 
35 
19 


94 
142 
176 
151 


302 
426 
501 
533 


13 
35 
32 
50 


















18,927 
21,347 
14,757 
30.257 


830 

689 

555 

2,646 


831 

695 

556 

2,664 




7 
3 

14 


51 

14 
209 


3 
62 
83 


247 
185 
82 
818 
297 


444 
442 
413 
1,440 
1,185 


40 
14 
43 
101 
59 






2 


















57,864 
21,531 
243,065 
25,978 
43,756 

29,285 
15,276 
14,524 
68,122 


1,286 

959 

22,728 

951 

1,201 

715 

401 

260 

3,281 


1,289 
965 

23,063 

1,213 

716 

401 

260 

3,306 




178 


29 
19 
1,059 
26 
12 

3 
1 
2 
121 
16 


118 
91 
1,888 
16 
22 

36 

68 
57 


369 
382 
5,813 
230 
288 

103 
44 
76 
1,249 
516 


706 
452 
12,476 
556 
877 

539 
330 
169 
1,665 
931 


63 
11 

1,276 
122 

34 
21 

161 

100 








Rochester 


38 

1 






1 

1 








Rye 

Saugerttes Town 

Schenectady 






2 


15 

13 




Southport 

Spring Valley 

Stony Point 

Suflem 


11.006 
21,539 
12,784 
10,796 
164,560 


35 

1,735 

196 

234 

12,205 


35 

1,742 

205 

236 

12.329 


9 








3 

479 

72 

59 

3,646 


31 

1,014 

107 

158 

6,954 


1 
84 
4 
13 
497 




12 
2 


78 
3 

552 


67 
8 

486 




Tonawanda Town 

Troy 


10,764 
69,136 
55,443 
12,438 
73,086 


340 
1,688 
3,228 

472 
2.213 


341 
1,698 
3,271 

474 
2,229 






3 

17 
101 

119 


11 
133 
87 
30 
62 


49 

432 
858 
33 
751 


258 
1,013 
2,005 

389 
1,134 


19 
89 

153 
16 

129 




1 
3 


3 

21 




Utica 


3 


15 




Vestal 

Wallkill Town 

Watertown 

Warwick Town 

Webster 


27,505 
21,407 
27,343 
12,977 
23,750 


443 
326 
992 
197 
606 


447 
326 

199 
614 


3 


1 
1 

2 




5 

17 
1 
11 


100 
66 

239 
56 

118 


305 
222 
711 
123 
439 


32 
27 
19 
16 

27 




2 
8 




White Plains 
Yorktown 


45,811 
191,631 

32,474 


2,852 
9,359 
1,118 


2,852 
9,424 


13 


9 

30 
2 


603 
7 


48 
211 
22 


235 

2.225 

180 


2,248 

4,779 

869 


213 

1,498 

37 




NORTH CAROLINA 
























Albemarle 

Asheboro 

Asheville 

Burlington 


15,219 
16,058 
60,148 
11,036 
38,308 


619 
1,033 
4,812 

372 
1,722 


624 
1,033 
4,818 

373 
1,730 


1 
2 
6 

2 


4 

33 
2 


11 

100 

1 

21 


34 
134 
221 

16 
117 


148 
190 
970 
78 
352 


393 

646 
3,219 

259 
1,142 


35 

263 
16 

77 




Cary 

Chapel Hill 

Charlotte 

Concord 

Durham 


27,960 
33,817 

339,767 
19.229 

104,750 


936 

1,893 

35,381 

968 

9,826 


937 

1,898 

35,705 

971 

9,883 


53 
2 
20 


6 

305 
48 


8 

24 

1,454 

18 

281 


19 
68 
3,675 
64 
287 


144 
416 

9.598 
235 

2,690 


721 

1,237 

18,637 

616 

6,049 


38 
137 
1,659 
29 
451 




Eden 

Fayetteville 

Garner 

Gastonia 

Goldsboro 


16.182 
67,916 
11,559 
49,656 
36,889 


631 
8,642 

454 
5,366 
2,213 


635 
8,684 

460 
5,427 
2,220 


8 
5 


67 

21 
15 


5 

319 

3 

161 

57 


31 
1.029 

37 
340 
129 


127 

1,888 

83 

1.319 

464 


434 
4,879 

310 
3,233 
1,441 


33 
449 

21 
284 
102 




Greensboro 

Greenville 
Havelock 

Henderson 

Hickory 


163,614 
38,294 
21,754 
16,539 
25,006 


11,138 

2,665 

395 

1,666 

2.471 


11,207 
2,681 
395 
1,674 
2.496 


18 

1 


66 

32 

5 


300 
58 
2 
28 
44 


815 
129 
28 
132 
187 


2.421 
646 
133 
453 
651 


7,131 

1,708 

199 

1,001 

1.442 


387 
91 
32 
47 

130 





ible 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Populati< 



1986— Continued 



City by Stale 


Population 


s 


Modified - 


negligent 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 


Burglary 


theft 


theft 


Arson- 


NORTH CAROLINA— Continued 
























gh Point 

cksonville 

annapolis 

urinburg 


68,557 
26.317 
32,765 
25,712 
12,660 


5,068 
2,719 
1,280 

2,057 
935 


5,116 
2,725 
1,289 
2,059 
941 


10 


27 
12 

1 


124 
47 
17 
49 


433 
201 

91 
218 

37 


1,119 
537 
316 
514 
223 


3,145 
1,822 

801 
1,225 

638 


210 
96 

47 
41 
24 


48 
6 
9 
2 
6 


noir 


14,084 
16,333 
19,404 
17,395 
15,383 


1.216 
1,152 
1,965 

1.140 
730 


1,228 
1.164 
1.984 
1.143 
733 




5 

6 
1 
1 


14 
12 
56 


123 
83 
134 
205 
58 


240 
393 
398 
258 
141 


805 
593 
1,271 
614 
488 


28 
62 

32 
37 








lmberton 

organton 


19 

3 

3 


;w Bern 
ileigh 


16.251 
173.901 
12,742 
47.403 
23.300 


1,282 
11,896 
409 
3.974 
1,568 


1,290 
11,945 
409 
3,990 
1,575 


,1 


5 
76 

1 
18 

8 


14 
339 

88 
39 


90 
732 

84 
301 

69 


342 

2,284 

43 

1,038 

485 


789 
7,712 

266 
2,401 

916 


41 

737 

124 
50 


8 
49 






lisbury 


7 


nford 


16.981 
19,509 

10.4/9 
15,359 
46,016 


1.492 
1,721 
666 
931 
5,543 


1,496 
1,721 
670 
933 
5.583 


11 


8 
7 
2 
5 

30 


14 
25 
11 
11 
97 


122 
54 

72 
37 
202 


407 
390 
152 
262 
1,453 


856 
1,188 
404 
551 
3,483 


85 
53 
24 
63 
267 


4 






rboro 

omasville 

tlmington 


2 
40 


nston.Sa.etn 


147,235 


12,377 


12,536 


17 


109 


369 


1,964 


3,107 


6,247 


564 


159 


NORTH DAKOTA 


























46,833 
18,607 
64,727 
43,564 


2.416 

604 

3,132 

2,219 


2,416 

610 

3,137 

2,225 


1 


14 

13 
9 




10 
16 
17 
13 


345 
87 
355 
284 


1,942 

480 

2,568 

1,803 


102 
20 
162 
101 






" t 














16.296 
36,698 
11,852 


515 
1,710 
373 


519 
1,712 
373 


2 


2 
3 
3 




10 


56 
156 
61 


425 
1.461 
291 


26 

73 
12 








est Fargo 








OHIO 
























iron 
liance 

nherst 


226,877 

lo]564 
19,659 


17,598 
1,608 
366 
416 


17,839 

427 
1,487 


25 


163 
6 
3 


676 
29 
6 


1,581 

155 

6 

35 


3,295 
393 
13 
58 


10.571 
978 
329 
301 


1,287 
47 
9 
21 


241 










hens 


20,995 
13,369 
28,456 
17,528 
35,128 


781 
251 
1,702 
196 
981 


782 
251 

198 
998 


1 


1 

15 

1 


4 
39 


38 
1 
226 
5 
2 


71 
46 

271 
47 

212 


609 
191 
1.075 
132 
741 


54 
11 
76 
10 
19 


1 


rberton 

y Village 

avercreek Township 


2 
17 


dford 

dford Heights 

rea 

ue Ash 


14,923 
12,374 
19,054 
13,588 
10,805 


640 
489 
606 
546 
570 


642 

606 

550 

575 


' 


1 

1 

2 


7 
4 
13 
20 
3 


33 
11 
6 
3 


63 
53 
134 
143 
94 


441 
304 
379 
361 
460 


104 
90 
67 
14 
8 


2 

5 


ardman Township 

wling Green 


42,049 
24,508 
10.645 
10,844 
10.923 


1,771 
829 
163 
156 
199 


1.771 
829 
166 
159 


2 


1 

7 

3 


31 
6 

3 
2 


34 
17 
6 
3 
26 


252 
153 
47 
27 
58 


1,165 
622 
95 
96 
97 


288 
24 
12 
24 
12 








ookfield Township 




unswick 

cyrus 

mbndge 


28.643 
13.375 
12,983 


431 
643 
596 


440 
647 


} 


I 
1 


8 

5 


42 
8 
2 


60 
89 
95 


283 
520 
476 


36 
16 

21 


9 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1986 — Continued 



Cily by Stale 


Population 


3f 


Modified' 


Murder 
negligent 
slaughter 


Forcible 


Robbery 


Aggra- 


Burglary 


W 


Motor 


A- 


OHIO — Continued 
























Canton 

Centerville 


89,098 
19,579 


5,742 
594 


5.829 
597 


8 


67 
2 


269 


297 
7 


1,448 
98 


3,265 
457 


388 
25 




Chillicolhe 

Cincinnati 

Circleville 

Cleveland 

Cleveland Heights 


23,840 
370,482 

11,866 
546,544 

56,937 


2,045 

27,699 

546 

44,235 

2,069 


2,063 

28,277 

548 

45,263 

2,069 


1 

46 

124 

3 


4 

291 
4 

773 
4 


29 

1,216 

5 

3,698 

28 


78 
1,787 

15 

2,520 

3 


516 

6,034 

121 

11,928 

358 


1,352 

17,169 

374 

13,453 

1,216 


65 

1,156 

27 

11,739 

457 


1 


Columbus 

Cuyahoga Falls 

Dayton 

Defiance 

Delaware 


566,115 
42,416 

181,159 
16,099 
19,391 


46,552 
1,691 
16,569 

715 
927 


46,958 
1,708 

16,878 
718 
932 


78 
51 
1 


550 

219 

6 


2,255 
25 

1,428 
9 
8 


2,265 

118 

904 

8 

12 


12,121 

284 

4,026 

143 

182 


26,491 

1,159 

8,992 

523 

672 


2,792 
94 
949 
32 
46 




Delhi Township 

East Cleveland 


29,996 
11,612 
36,696 
22,131 
57,192 


468 

449 

2,599 

503 

1,897 


482 
449 

2,625 
513 

1,913 


1 
7 


5 

36 
7 

28 


5 

3 

192 

1 

43 


6 
2 

127 
13 
49 


67 
92 
713 
125 
632 


375 
323 
870 
317 
916 


10 
27 

654 
40 

224 




Elyna 


5 




Englewood . 

Euclid 


11,119 
57,985 
28,652 
32,484 


457 

2,476 

898 

1,772 


457 
2,488 

898 
1,777 




3 
4 
6 


7 

50 
12 

20 

7 


34 
27 
20 
69 

5 


73 
443 
138 
385 
105 


332 
1,635 

692 
1,198 

375 


318 
32 
93 
58 






Fairfield 


1 






10,627 
17,317 
20,222 
11,975 
33.694 


561 
592 
542 
456 
1,022 


569 
593 

459 
1,030 






5 
9 
10 
9 

21 


9 

27 

4 

9 

110 


126 
161 
113 
69 
230 


372 
349 
388 
344 
501 


49 
38 
22 
22 
154 




Fremont 

Galion 

Garfield Heights 


1 
1 


7 
5 
2 
5 




Girard 


12,792 
13,126 
12,559 
17,442 
63,967 


321 
304 
659 
615 
5,152 


311 

670 

616 

5,223 


7 




8 

3 
3 

10 
139 


3 
6 

10 
26 
408 


70 

116 

100 

1,231 


182 
196 
515 
435 
3,075 


40 
27 
14 

242 




Goshen Township 
Greenville 

Grove City 

Hamilton 


1 
1 
2 

50 




Jackson Township 
Kent 

Kettering 

Lakewood 

Lancaster 


29,267 
27,849 
60,188 
60,531 
34,710 


1,311 
1,183 
2,738 
1,984 
1,980 


1,318 
1,193 
2,766 
1,997 


2 


5 

17 
11 
3 


37 
22 
27 
37 
14 


32 
32 

155 
33 

375 


217 
235 
482 
376 
267 


923 
813 
1,912 
1,341 
1,230 


97 
70 
145 
185 
91 




Liberty Township 
Lima 

Madison Township (Montgomery County) 


13,369 
46,049 
72,789 
16,892 
22,016 


657 
3,462 
2,259 

290 
1,531 


3,521 

2,273 

290 

1,540 


3 
4 


35 
49 

5 


14 
132 
48 
2 
40 


313 
64 

67 


85 
795 
800 

58 
268 


406 
2,087 
1,138 

200 
1,075 


143 
97 

156 
23 
74 




Madison Township (Lake County) 


15.558 
51,887 
28,703 
16,509 


524 

3,761 

766 

424 


3,793 
766 
428 

2,264 


' 


3 

34 
3 
6 

15 


1 

78 
19 
9 

44 


20 
467 
36 
39 
22 


108 
1,038 
158 
97 
614 


361 
2,010 
376 
244 
1,496 


31 
133 
174 
28 
58 




Maple Heights 

Marietta 






30.801 
16,268 
20,202 
42,854 


1.529 
822 
681 

1.494 


1,548 
829 
686 


2 


16 
5 
1 


30 

14 

14 


155 

5 
35 


291 
110 
66 
204 


954 
647 
455 
1,113 


81 
48 
140 
124 


















Miamisbure 






Miami Township 

Middlcburg Heights 

Middletown 

Montgomery 


17.769 
15,395 
43,791 
11,190 
41,276 


691 
729 

2.515 
357 

1,669 


698 
731 

2,534 
357 


3 
3 


7 
2 

11 
1 

14 


2 

43 
2 
35 


46 
31 


143 
97 
551 

325 


459 
496 

1,800 
296 

1.147 


31 

111 
76 
13 

122 






New Philadelphia 

Niles 


17,018 
22,467 


852 
1.082 


855 


1 
1 


\ 


5 

15 


29 
34 


213 
184 


570 
721 


28 

125 





able 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1986 — Continued 



s: 


M sr* 


total 


total 


246 


249 


436 


436 


1,448 


1,453 


509 


513 


360 


360 


394 


395 


1,360 


1,361 


965 




779 


782 


2,666 


2.706 


478 


478 


233 


236 


808 


811 


1,151 


1,157 


1,239 




245 




416 


417 


1.116 


1.129 


330 


330 


1,950 


1,958 


144 


144 


1,849 


1,861 


967 




202 




467 


481 


745 


748 


1,340 




6,158 


6,204 


1,162 




818 


822 


809 


815 


502 


504 


1,055 




497 


505 


927 


930 


27,415 


27,890 


624 


630 


985 


996 


1,739 


1,760 


431 


434 


1,299 


1,314 


408 




462 


469 


299 


301 


466 


468 


2,915 




926 


943 


572 


577 


757 


762 


1,048 


1.051 


459 


466 


1,495 


1.503 


367 


378 


732 


735 


369 


372 


927 


932 


663 


670 


1,162 


1.177 



OHIO — Continued 

'orth Canton 

orth College Hill 

orth Olmsted 

orth Ridgeville 

orwalk 
orwood 

xford 

arma 

erkins Township 

errysburg 
erry Township 

ortsmouth 
andolph Township 
eading 
eynoldsburg 

ilem 

uidusky 

:ven H.lls 
haker Heights 
tiaronville 
tieffield Lake 

suth Euclid 

pringdale 

pringfield 

teubenville 

trongsville 

ylvania Township 

allmadge 
iffin 

roy 

'nion Township (Butler County) 

'nion Township (Clermont County) 

diversity Heights 

'pper Arlington 



ermilion 

Wadsworth 

Warrensville Heights 
Washington Court House 

/est Carrolllon 

Westerville 
Westlake 
Whitehall 
/ickliffe 

/illoughby 

Wilmington 

booster 

/orthington 



14.859 
10,798 
36.021 



11.955 
14,483 
25,382 
18,672 

16,649 
90,225 
10,400 
10,696 
32,652 

20,063 
24,446 
12,433 
12,389 
22,390 

12,620 
30,597 
13,189 
31.452 
10,646 
10,431 
15,700 
25,135 
10,869 
70,079 



14,363 
19,401 
343,939 
19,374 
26,451 

29.912 
15,490 
36,067 
10,946 
12,702 

11,203 
15,064 
54,057 
16,352 
12,639 



19.774 
10,556 
19,468 
18,721 
24,093 



97 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1986 — Continued 



City by State 


,,,„ 


sc 


Modified' 
total 


Murder 
negligent 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 


Burglary 


-a- 


v2& 


Arso, 


OHIO— Continued 
























Youngstown 


108,042 


6,746 




33 


77 


393 


951 


2,314 


1,739 


1,239 






28,337 


1,853 






18 


35 


78 


464 


1,159 


99 




OKLAHOMA 
























Ada 


16,953 


1,233 


1.250 




6 


8 


94 


311 


749 


65 




Altus 


23,837 


1,103 


1,110 


3 


2 


14 


25 


338 


675 


46 




Ardmore 


24,898 


2,072 


2,080 


4 


4 


19 


85 


502 


1,343 


115 




Bartlesville 


35,784 


1,971 


1,994 




7 


24 


40 


376 


1,432 


92 




Bethany 

Broken Arrow 


22,148 


1,190 


1,191 


1 




18 


20 


243 


796 


112 




47,072 


1,963 


1,984 




11 


11 


39 


542 


1,164 


196 




Chtckasha 


17,056 


1,305 


1,322 


3 


6 


13 


92 


282 


820 


89 




Claremore 


14,405 


738 


742 


2 


1 


7 


48 


210 


405 


65 




Clinton 


11,593 


843 


847 


1 


3 


24 


54 


249 


466 


46 




Del City 


27,108 


2,377 


2,392 


3 


20 




70 


650 


1,308 


285 




Duncan 


23,276 


1,368 


1,381 


2 




7 




273 


931 


37 




Durant 


12,830 


1,167 


1,169 


1 


1 


7 


75 


294 


718 


71 




Edmond 


46,261 


2,085 


2,115 


15 


8 


15 


34 


587 


1,257 


169 




Elk City 


14,541 


642 


645 


2 


2 


6 


29 


161 


402 


40 




El Reno 


17,260 


847 


857 


3 


1 


18 


32 


265 


454 


74 




Enid 


52,614 


4,385 


4,415 


7 


22 


48 


196 


1,313 


2,663 


136 




Guthrie 


12,162 


855 


871 


1 


3 


9 


28 


269 


475 


70 




Lawton 


85,812 


5,914 


5,974 


5 


56 


188 


380 


1,654 


3,280 


351 




McAlester 


18,457 


1,050 


1,063 




8 


5 


36 


330 


588 


83 




Miami 


14,219 


805 






2 


1 


23 


151 


581 


47 




Midwest City 


53,499 


4,951 


4.965 


4 


14 


84 


179 


1,126 


2,986 


558 




Moore 


40,325 


2,558 


2.569 


1 


9 


48 


101 


698 


1,487 


214 




Muskogee 


42,883 


3,317 


3,347 


3 


21 


63 


270 


899 


1,762 


299 




Norman 


75.511 


4,665 


4,675 


2 


20 


70 


74 


1,415 


2,752 


332 




Oklahoma City 


444,119 


57,394 


57,887 


60 


425 


1,484 


2,270 


17,048 


29,404 


6,703 




Okmulgee 


16,225 


1,412 


1,421 




11 


17 


91 


314 


781 


198 




Ponca City 


28,677 


1,108 


1,113 


3 


11 


10 


40 


294 


679 


71 




Sand Springs 


14,702 


855 


875 


3 


1 


6 


23 


233 


499 


90 




Sapulpa 


17.555 


814 


854 


2 


1 


15 


14 


229 


474 


79 




Shawnee 


27,992 


2,712 


2,727 


2 


11 


18 


110 


853 


1,536 


182 




Stillwater 


38,125 


1,601 


1,610 




10 


11 


75 


332 


1,072 


101 




Tahlequah 


11,246 


512 




1 


1 


4 


19 


110 


324 


53 




Tulsa 


375,335 


35,984 


36,172 


40 


272 


858 


2,125 


9.374 


16,647 


6,668 




Village 


12,009 


799 


805 


1 


5 


17 


10 


166 


543 


57 




Warr Acres 


10.472 


958 


960 




3 


14 


17 


215 


652 


57 




Weatherford 


12,400 


420 


424 




1 


1 


16 


124 


257 


21 




Woodward 


15,351 


597 


610 




2 


4 


33 


153 


375 


30 




Yukon 


22.539 


974 


974 




4 


19 


11 


277 


592 


71 




OREGON 
























Albany 


28,322 


2,078 


2,105 


2 


9 


29 


20 


591 


1,287 


140 




Ashland 


15,294 


832 


838 




4 


8 


37 


169 


565 


49 




Beaverton 


33,758 


2,402 


2,412 




8 


61 


6 


541 


1,664 


122 




Bend 


17,768 


1,664 


1,667 


2 


6 


8 


9 


290 


1,284 


65 




Coos Bay 


15,037 


1.241 


1,253 


2 


11 


14 


25 


357 


752 


80 




Corvallts 


40,055 


2,341 


2,348 




7 


13 


56 


551 


1,635 


79 




Eugene 


102,502 


8,649 


8,685 


8 


29 


142 


153 


2.185 


5,720 


412 




Forest Grove 


11,707 


772 


776 


1 


3 


7 


19 


189 


528 


25 




Grants Pass 


15,838 


2,062 


2,079 


1 


4 


22 


23 


362 


1,574 


76 




Gresham 


36,606 


2,378 


2.392 


1 


14 


53 


73 


772 


1,267 


198 




Hillsboro 


30,295 


1.610 


1,623 


1 


15 


21 


8 


448 


1.043 


74 




Keizer 


19.776 


1,143 


1,146 


1 


7 


14 


18 


249 


812 


42 




Klamath Falls 


18,352 


1.947 


1,958 


1 


9 


30 


77 


511 


1,248 


71 





ible 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1986— Continued 



OREGON— Continued 



Grande 
ke Oswego 



lwaukie 
wberg 



egon i_it 
ndlelon 

rtl.ii ,1 
seburg 

ringfield 
e Dalles 

alatin 
St Linn 

wdburn 



PENNSYLVANIA 

ington Township 

iquippa 

lentown 

ton Township 



Idwin Borough 
nsalem Township 



thlehem Township 

wmsburg Town 
idford 

Mitwood 

tier. 

tier Township 

rlisle 

rnegie 

[iter Township 
ambersburg 
ellenham Township 



inberry Township 

mru Township 

rry Township 
ylestown Township 

it Hempfield Township 



it Nornton Township 

it Pennsboro Township 
zabeth Township 

unaus 

hrata 

Us Township 



10,582 
15,048 
42,323 
18,086 
11,467 

14,963 
14,304 
368,439 
16,208 
91,123 

40,348 
11,088 
18.806 
10,857 
13,008 

11,368 



58.905 
16,309 
103,801 
54,544 
14,922 

24,006 
56,592 
15,715 
69,901 
12,593 



10.505 
11,280 
16,757 
18,131 



10,219 
10,397 
16,183 
35,350 



12,454 

11,957 
18.030 
12,275 
16,523 
16,721 

13,149 

26,041 
13,816 
16,216 
11,147 



1,293 

769 

65,654 



..!« 



1,237 
6,049 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1986— Continued 



PENNSYLVANIA— Continued 



Greensburg 

Hanover 


17,058 
14,855 


Hanover Township 

Harrisburg 

Harrison Township 

Haverford Township 

Hazleton 


12,456 
52,007 
12,666 
51,782 
26,089 


Hermitage 

Hilltown Township 

Hopewell Township 

Horsham Township 

Indiana 


17,179 
10,212 
14,115 
16,868 
15,192 


Jeannette 

Johnstown 

Kingston 

Lancaster 

Lancaster Township 


12,563 
33.105 
15,573 
56,208 
11,204 


Lansdale 

Lansdowne 

Latrobe 


17,422 
11,659 
10.149 
26,304 






12,737 
20.463 
12,796 
36,094 
19,691 




Lower Moreland Township 

Lower Paxton Township 

Lower Providence Township 


Lower Southampton 

Manheim Township 

Manor Township 

Marple Township 
Meadville 


19,004 
26,814 
13,566 
22,739 
14.832 


Middletown 

Middletown Township 
Millcreek Township 

Monessen 

Moon Township 


10.369 
38,291 

45,190 
10,975 
20,444 


Morrisville 

Mountaintop Regional 

Mount Lebanon 

Muhlenberg Township 

Munhall 


10,298 
12,608 
33,601 
12,699 
14,082 


Murrysville 

Nanticoke 


16,316 
12,693 
10,783 

32,072 
17.624 




New Kensington 


Newtown Township 

Norristown 

Northern York Regional 

North Huntingdon Township 

North Middleton Township 


11.688 
34.355 
32,822 
30,777 
10,470 


North Versailles Township 

Oil City 

Palmer Township 

Penn Township 

Peters Township 


12,998 
13,643 
13,946 
16,653 

13,834 


Philadelphia 

Phoenix ville 


1,645,144 
14,060 



ible 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1986 — Continued 



negligent 
slaughter 



PENNSYLVANIA— Continued 

ttsburgh 

ains Township 

ymouth Township 

idnor Township 

chland Township 

dley Township 

)ss Township 
lisbury Township 

ott Township 

aler Township 

amokin 



ringettybury Township .... . 

ringfield Township (Delaware County) 

ringfield Township (Montgomery 

County) 

ring Garden Township 

ring Township 

rte College 

squehanna Township 

?atara Township 

rissvale 

edyffnn Township 

5per Allen Township 

>per Chichester Township 

3per Dublin Township 

jper Gwynedd Township 

)per Merion Township 

jper Providence Township 

?per Saint Clair Township 
jper Southampton Township 
arminster Township 

ashington 

est Chester 

est Goshen Township 

est Manchester Township 

est Mifflin 

est Norriton Township 

est Whiteland Township 
hitehall 

hitehall Township 

hitemarsh Township 

hue Oak 

hitpain Township 

ilkes-Barre 

illiamsport 

sadon 

Kk 

ark Township 



402,204 
11,394 
25,294 

17,034 
27,896 
78,290 
13,598 
33,313 

35,006 
12,510 
19,254 
32,902 
10,021 

16,998 
20,100 
24,600 
19,649 
10,800 



12,720 
24,520 
13,613 
11,239 

14,822 
22,484 
10,152 
26,076 
10,630 

18,974 
15,982 
36,179 
11,57 
18,31 

18,490 
17,47 
13,037 
25,372 
14,519 

10,417 
14,657 
21,508 
14.918 
10,029 

13,070 

49,270 
32,236 
12,189 



32.380 
329 
259 



391 
2,047 

1.44S 



101 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1986 — Continued 



City by State 


Population 


£ 


Modified- 
Index 


slaughter 


Forcible 


Robbery 


Aggra- 


Burglary 


theft 


vehicle 
theft 


Arson- 


RHODE ISLAND 


























16,067 
20,025 
14,833 

17.623 
29,309 


326 
440 
239 
524 
930 


330 
440 
242 
524 
936 


1 


2 


2 

3 
1 

12 
7 


5 

16 
7 

38 
9 


47 
123 

67 
206 
188 


261 
269 
150 
187 
680 


10 
28 
13 
80 








Burrillville 

Central Falls 

Coventry 




Cranston 

Cumberland 


73,712 
26,948 
10,433 
52,391 


3,194 
751 
221 

1,579 


3,219 
755 
221 

1,602 


1 


3 


42 
3 
1 

11 


80 
6 

46 


790 
133 
68 
406 


1,789 
560 
138 
937 


489 

10 

174 




East Providence 






17,396 
17,742 
12,694 
29,974 


823 
683 
625 

2,332 


824 

685 

625 

2,341 




2 

5 
1 
11 


3 
6 

39 


9 
8 

15 
56 


155 
160 
226 
452 


426 
450 
347 
1,580 


228 
54 
35 

193 




Middletown 

Narragansett 

Newport 


1 






30,821 
10,328 
73,796 
15,198 
156,251 


953 

259 

3,433 

261 

16,685 


963 

261 

3,433 

261 

17,008 




1 
12 

83 


2 
73 
860 


29 
16 
167 

936 


295 
73 

1,137 
87 

4,492 


451 
147 

1,618 
155 

7,091 


172 
22 
423 
18 
3,205 




North Smithfield 


3 

18 




Portsmouth 

Providence 


3 


Smithfield 

South Kingstown 

Tiverton 

Warren 

Warwick 


17,737 
21,152 
13,982 
11,123 
88,387 


244 
526 
385 
297 
4,770 


245 
526 
385 
298 
4,828 




2 
2 
1 

18 


25 


11 

3 
130 


95 
109 
152 

55 
919 


91 

384 

183 

211 

2,870 


44 
25 
44 
24 
807 




Westerly 

West Warwick 


19,365 
28,316 


499 
932 


499 
935 


2 


2 
1 


4 


5 
45 


133 
213 


323 
595 


35 
72 




SOUTH CAROLINA 
























Aiken 


16,823 
27,839 
11,630 
68,690 
100,959 


973 

2,304 

643 

5,181 

12,168 


978 
2,318 

644 
5,197 
12,219 


2 
5 


7 
16 
2 
45 
101 


29 
42 
12 
165 
446 


88 
208 

52 
517 
956 


241 

582 

115 

1,033 

2,668 


572 
1,338 

3,184 
7,418 


34 
113 

45 
227 
568 




Anderson 

Cayce 

Charleston 

Columbia 




10 
11 




Conway 

Easley 

Florence 


12,681 
16,087 
31,945 
13,977 
11,118 


1,061 
645 

2,724 
787 
920 


1,066 
648 

2,739 
797 
926 


1 
1 


2 
2 

28 
15 
10 


9 

117 
12 
28 


145 
66 
279 
103 
66 


139 
155 
525 
186 
230 


721 
398 
1.649 
435 
550 


41 
19 
125 
36 
36 




Georgetown 








23,285 
58,703 
22,696 
12.417 
13,920 


590 
6,283 
1.749 
1,108 

503 


591 
6,324 
1,759 
1,116 

511 


11 
2 
2 
1 


8 

20 
18 
5 
7 


7 
184 
21 
17 
7 


26 
579 
365 
84 
19 


126 

1,257 
358 
255 
150 


390 
3.927 
929 
672 
297 


33 
305 
56 
73 
22 








Greenwood 

Greer 

Hanahan 




Lancaster 

Laurens 

Mount Pleasant 

Myrtle Beach 

NewbeiTy 


10,265 
10,839 
20,160 
25,843 
10,263 


882 
535 
1,252 
4,169 
389 


535 
1,258 
4,173 

390 




6 

5 

10 
2 


5 

15 
69 
4 


178 
37 
58 
61 
82 


170 
122 
210 
1.187 
59 


489 
351 
901 

'227 


24 
12 

212 
14 




North Augusta 

North Charleston 

Orangeburg 

Rock Hill 

Simpson ville 


15,388 
68,308 
15,842 
38,622 
11,302 


477 
6,295 
1,557 
3,676 

323 


479 
6,339 
1,569 
3,692 

323 


4 


5 

52 
12 
20 
2 


13 
259 
42 
65 
5 


48 
600 
127 
408 

37 


125 
1,525 
375 
709 
85 


257 
3,382 

933 
2.300 

180 


28 
472 

67 
170 

14 


4 


Spartanburg 

Summemlle 


44,914 
13,635 


4,670 
964 


4,697 
969 


7 


25 


122 
14 


484 
56 


1.031 
212 


2,796 
625 


205 
53 


2 



102 



able 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1986 — Continued 



SOUTH CAROLINA— Continued 

imter 

est Columbia 

SOUTH DAKOTA 



MixJilied* 



xrdeen 25,844 

ookings 15,075 

iiron 12,418 

itchell 13,936 
12,441 

ipid City 49,300 

Falls 88,050 

irmillion 10,038 

kton 



3.870 

4,455 

373 



TENNESSEE 



irtlett 
entwood 
istol 
lattanooga 

arksville 
eveland 
ilumbia 
tokeville 
rersburg 

st Ridge 

anklin 

tllatin 

:rmanlown 

■eeneville 

imboldt 
:kson 

hnson City 
ngspon 
loxville 



12,312 
21.044 
11,275 
24,023 
167,4 

59,602 

27,422 

27,550 

22,: 

15,1 

21,337 
16,383 
18,467 
27.067 
14,590 

10,070 



4,517 
2,508 
2,133 
12,033 



wrenceburg 

nryville 

:Minnville 

smphis 

illington 

urfreesboro . 



340 

65,651 
498 

902 
2.311 



112.848 
23.239 
11,713 
19,286 



7,435 

2,285 

560 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1986 — Continued 



City by Slate 


Population 


3f 


Modified" 


negligent 
slaughter 


Forcible 


Robbery 


Aggra- 
vated 


Burglary 


'="■ 


theft 


A ,on- 


TEXAS— Continued 
























AmariUo 


169,927 


13,865 


13,984 


21 


81 


275 


510 


3,653 


8,656 


669 


11 


Andrews 


13,601 


297 


298 








35 


76 


175 


11 




Angleton 


15,832 


789 


790 


1 


4 


2 


51 


202 


489 


40 




Arlington 


223,106 


20,235 


20,319 


22 


120 


518 


790 


4,475 


12,263 


2,047 


8 


Athens 


11,372 


1,163 


1,164 


2 


7 


10 


48 


347 


710 


39 




Austin 


414,220 


45,856 


46,096 


48 


388 


1,124 


1,107 


12,454 


28,469 


2,266 


24 


Balch Springs 

Bay City 


17,818 


1,559 


1,600 




10 


24 


30 


482 


886 


127 


4 


18,567 


1,588 


1,591 


1 


5 


16 


124 


323 


1,039 


80 




Baytown 


63,308 


4,356 


4,381 


7 


12 


104 


115 


1,221 


2,342 


555 


2 


Beaumont 


128,706 


10,892 


10,936 


14 


105 


450 


542 


3,490 


5,736 


555 




Bedford 


32,375 


2,467 


2,467 


2 


18 


43 


38 


550 


1,643 


173 




Beeville 


16,670 


712 


713 


! 


2 


5 


52 


251 


376 


25 




Bellaire 


15,469 


691 


699 




2 


25 


10 


142 


445 


67 




Belton 


12,420 


684 


691 




4 


7 


20 


172 


452 


29 




Benbrook 


17,696 


520 


520 




5 


15 


9 


136 


286 


69 




Big Spring 


28,650 


2,305 




4 


10 


21 


331 


667 


1,196 


76 




Borger 


17,984 


525 


529 


2 


2 


6 


24 


147 


317 


27 




Brenham 


13,351 
11,316 


604 

732 


604 

737 


3 


2 
5 


5 


13 

72 


85 
170 


488 
453 


12 

27 




Brownfield 




Brownsville 


98,783 


9,065 


9,077 


6 


24 


155 


1.116 


2,098 


4,568 


1,098 


1 


Brownwood 


20,618 


1,518 


1,525 


2 


9 


6 


43 


308 


1,097 


53 




Bryan 


61,550 


4,550 


4,560 


4 


46 


80 


310 


1,382 


2,522 


206 


1 


Burkburnett 


11,503 


340 


340 






5 


15 


97 


207 


16 




Burleson 


15,230 


866 


872 




2 


17 


3 


242 


526 


76 




Canyon 


11,637 


242 


244 








10 


48 


164 


20 




Carrollton 


55,131 


4,517 


4,536 


* 


15 


59 


41 


1,404 


2,731 


263 


1 


Cedar Hill 


10,086 


1,000 


1,001 




6 


9 


23 


447 


469 


46 




Cleburne 


22,342 


1,095 


1,106 


1 


1 


6 


24 


103 


870 


90 


1 


College Station 


47,741 


3,066 


3,068 




12 


30 


87 


535 


2.261 


141 




Conroe 


19,765 


1,935 


1,949 


2 


17 


34 


210 


371 


1,144 


157 


1 


Copperas Cove 


21,984 


1,039 


1,046 


3 


8 


11 


35 


265 


672 


45 




Corpus Christi 


269,260 


23,583 


23,739 


35 


204 


362 


754 


6.247 


14.742 


1,239 


15 


Corsicana 


24,466 


1,989 


2,015 


5 


20 


55 


47 


516 


1.231 


115 


2 


Dallas 


1,016,488 


153,926 


154,863 


347 


1,255 


9,289 


8,384 


37,703 


80,734 


16,214 


93 


Deer Park 


25,601 


651 


655 




2 


7 


18 


226 


318 


80 




Del Rio 


35,893 


2,184 


2,189 


5 


7 


17 


167 


564 


1,275 


149 




Denison 


25,285 


2,518 


2,551 




5 


26 


260 


408 


1,703 


112 


3 


Denton 


48,073 


5,962 


5,962 


6 


31 


77 


296 


1,355 


3,863 


334 




De Soto 


20,439 


1,899 


1,908 




9 


30 


16 


566 


1,113 


165 




Donna 


11,880 


647 


648 




1 


5 


35 


372 


208 


26 




Dumas 


13,459 


283 


283 








3 


65 


208 


7 




Duncanville 


33,275 


2,135 


2,182 


1 


5 


42 


15 


608 


1,278 


186 


4 


Eagle Pass 

Edinburg 


25,142 


1,332 


1,336 






3 


42 


302 


925 


60 




31,334 


2,156 


2,171 


1 


1 


8 


103 


665 


1,266 


112 


1 


El Campo 

El Paso 


11,154 


692 


692 






6 


42 


185 


435 


24 




483,925 


37,773 


38,205 


46 


198 


1,039 


3,451 


9,190 


21,265 


2,584 


43 


Ennis 


13,202 


743 


744 


1 


2 


4 


16 


222 


441 


57 




Euless 


29,100 


2,264 


2,277 


2 


8 


52 


59 


506 


1,445 


192 


1 


Farmers Branch 


27,612 


2,034 


2,039 


2 


4 


25 


25 


485 


1,310 


183 




Forest Hill 


13,744 


950 


968 


1 


6 


39 


51 


271 


468 


114 


1 


Fort Stockton 


10,389 


403 


403 




1 


4 


22 


73 


273 


30 




Fort Worth 


432,542 


72,015 


72,403 


200 


559 


3,373 


3,738 


19,257 


35,334 


9.554 


38 


Freeport 


12,949 


1,103 


1,105 


5 


9 


15 


31 


294 


692 


57 




Friendswood 


18,345 


638 


645 




1 


6 


47 


197 


343 


44 




Gainesville 


14,676 


809 


809 




1 


5 


26 


202 


510 


65 




Galena Park 


10,389 


209 


218 






2 




63 


117 


27 




Galveston 


65,085 


6,930 


6,995 


7 


66 


375 


593 


1,711 


3,676 


502 


6 


Garland 


167,157 


10,437 


10,504 


15 


72 


202 


235 


3,285 


5.958 


670 


6 


Georgetown 


12,867 


581 


583 


1 


2 


6 


16 


127 


415 


14 





Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1986 — Continued 



54,112 



12,491 
16,031 
,779,677 
11,931 
31,460 



1,045 

168,150 

2,025 



1,049 

170,035 

2,027 

1,630 



35,894 
125,264 
10,853 
13,383 
10,315 



3,067 

13.167 

523 

768 



3,075 



17,739 
12,665 
58,080 
31,248 
21,082 



5,196 
1,788 
804 



5,263 
1,795 
807 



16,378 
12,837 
18,222 
24,885 
113,390 



23,929 
11,307 
15,259 
24,845 
76,441 



886 
3,522 
5,996 



186,272 
31.944 
11,199 
26,036 
80,404 



10,458 
1,533 
569 
1,030 



19,022 
13,842 
80,606 
101,362 
16,364 



1,460 

675 

8.819 



5,471 

2,273 

500 



29,859 
32,401 
12,189 
29,991 
17,743 



26,436 
38,565 
113,404 
27,101 
18,940 

23,241 
27,311 
124,477 
16,368 
13,673 



2,083 
2,926 
10,575 
2,755 



1,422 
3,337 
7,579 
1,015 



2,947 
10.644 
2,781 
1,720 

1,429 
3,370 
7,653 
1,017 
770 



105 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1986 — Continued 



City by State 


Population 


Index 

total 


Modified' 
Crime 


Murder 
negligent 


Forcible 


Robbery 


Aggra- 


Burglary 


theft 


theft 


Arson* 


TEXAS— Continued 
























Piano 


97,268 


6,014 


6,039 


5 


18 


55 


59 


1,372 


4,140 


365 




Port Arthur 


66,872 


3,820 


3.842 


16 


28 


130 


234 


1,124 


2,165 


123 




Portland 


13,274 


490 


491 






6 


11 


84 


365 


24 




Port Lavaca 


12,885 


511 


513 




2 


7 


26 


107 


355 


14 




Port Neches 


14,955 


452 


454 




2 


3 


8 


141 


276 


22 




Raymondville 


10,519 


344 




2 


1 


1 


53 


137 


140 


10 




Richardson 


80,320 


4,740 


4,784 


1 


15 


98 


50 


1.108 


3,146 


322 




Richmond 


16,618 


438 


439 




2 


8 


34 


153 


207 


34 




Robstown 


13,903 


825 


827 






3 


43 


342 


407 


30 




Rosenberg 


20,373 


1,724 


1.764 


2 


9 


32 


136 


402 


1,057 


86 




Round Rock 


18,681 


1,568 


1,571 


1 


46 


19 


58 


315 


1,081 


48 




Rowlett 


11,031 


678 


682 




8 


5 


52 


281 


301 


31 




San Angelo 


88,008 


5,143 


5,143 


2 


40 


54 


315 


1.086 


3,432 


214 




San Antonio 


879,332 


100,209 


100,927 


162 


805 


3,262 


2.008 


29.194 


56,648 


8,130 


7 


San Benito 


21,593 


1,250 


1,251 


1 


11 


13 


75 


352 


738 


60 




San Marcos 


26,385 


2,423 


2,434 


2 


11 


36 


151 


490 


1,623 


110 




Seguin 


19,724 


1,912 


1,916 


4 


8 


16 


249 


490 


1,096 


49 




Sherman 


32,571 


3,230 


3,244 


3 


15 


47 


102 


770 


2,118 


175 




Snyder 


14,778 


356 


356 


2 


2 


1 


37 


41 


260 


13 




South Houston 


15,155 


985 


985 


1 


5 


32 


19 


171 


617 


140 




Stephenville 


13,241 


729 


732 




4 


3 


17 


180 


495 


30 




Sugar Land 

Sulphur Springs 

Sweetwater 


15,544 


428 


436 










126 


249 


34 




14,416 


682 


689 




3 


5 


31 


173 


407 


63 




13,290 


619 


619 




3 




73 


146 


368 


25 




Taylor 


11,526 


698 


702 


2 


4 


11 


35 


180 


439 


27 




Temple 


46,998 


3,376 


3,388 


6 


50 


60 


56 


834 


2,204 


166 




Terrell 


14,558 


1,106 


1,116 


5 


5 


33 


37 


316 


634 


76 




Texarkana 


34,339 


3,445 


3,466 


5 


25 


43 


179 


1.006 


2.036 


151 




Texas City 


45,440 


4,026 


4,066 


7 


3 


109 


218 


1.105 


2.346 


238 




The Colony 

Tyler 


22,537 
76,188 


1.128 


1,129 






2 


16 


323 


756 


30 




9,098 


9,120 


13 


87 


143 


333 


2,213 


5.842 


467 




Universal City 

University Park 


12,182 
23,870 


722 


727 






3 


33 


171 


478 


37 




1,056 


1,058 


1 


6 


20 




166 


821 


41 




Uvalde 


15,555 


561 


561 






1 


24 


152 


345 


39 




Vernon 


13,942 


671 




1 


3 


14 






378 


26 




Victoria 


57,503 


4,220 


4,249 


2 


25 


58 


314 


1,207 


2,463 


151 




Vidor 


13,704 


686 


692 




2 


16 


24 


214 


391 


39 




Village 


21,150 


287 


289 


1 


2 


2 


5 


72 


177 


28 




Waco 


108,649 


11,784 


11,818 


16 


69 


247 


609 


3,748 


6.537 


558 




Watauga 


17,529 


735 


737 




2 


5 


24 


202 


453 


49 




Waxahachie 


16,441 


1,439 


1,454 


2 


6 


24 


89 


367 


845 


106 




Weatherford 


14,659 


1,225 


1,230 


1 


5 


12 


25 


354 


721 


107 




Weslaco 


23,667 


2,084 


2,088 






11 


90 


595 


1.257 


131 




West University Place 


13,527 


528 


529 




1 


22 


3 


112 


346 


44 




White Settlement 


16,266 


852 


854 


4 


1 


7 


12 


160 


583 


85 




Wichita Falls 


103,188 


9,071 


9,209 


17 


65 


278 


309 


2,451 


5.475 


476 


1 


UTAH 
























American Fork 


15,178 


580 


580 




, 


1 


15 


65 


480 


18 




Bountiful 


34,584 


1,137 


1,144 




5 




42 


194 


858 


34 




Brigham City 


16,464 


627 


628 


1 






25 


78 


494 


29 




Cedar City 


12,433 


388 


388 




2 


1 


12 


60 


285 


28 




Clearfield 


22,036 


632 


640 




2 


6 


24 


108 


466 


26 




Kaysville . 


11,859 


347 


347 






1 


10 


53 


273 


10 




31,509 


1,519 


1,553 


2 


2 


7 




230 


1,173 


63 




Logan 


29,000 


1,224 


1,224 


1 


7 


2 


84 


147 


926 


57 




Midvale 


11,743 


1,021 


1,021 


1 


7 


10 


44 


163 


746 


50 




Murray 


27,148 


3,195 


3,196 


' 


6 


27 


73 


480 


2,486 


122 





Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1986 — Continued 



UTAH— Continued 



M.^HleJ' 



orth Ogde 
gden 



10,557 
68.737 
61,378 
13,068 
10,261 



oy... 

Jt Lake City 



74,740 
22,668 
16,680 
166,182 
64.014 



1,265 
20,282 
2,388 



rath Ogden 
luth Salt Lake 
lanish Fork 
iringville 



Valley 



mningtun 
attleboro 
irlington 
jlchester 



10,101 
17,026 
12,331 

38,599 



ltland 

uth Burlington 

ringfield 



eaandria 

exandna State Police 

'lington 

■lington State Police 
acksburg 

istol 

istol State Police 

tarlottesville 

larlottesville State Police 

tesapeake 

lesapeake State Police 

iristiansburg 

ilonial Heights 

ilonial Heights State Police 

inville State Police 

Wax City 

irfax City State Police 

edericksburg 

edericksburg State Police 

ont Royal 

impton 

tmpton State Police 

irrisonburg 

:rndon 



109,902 
158,344 
31,252 
19,029 
41,681 



21,036 
19,550 



2,182 

1 

2,963 



ipewell 
esburg 
nchburg 



24,928 
10,495 
69,105 



107 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1986 — Continued 



Modified' 



negligent 
slaughter 



VIRGINIA— Continued 



Martinsville 
Newport News . 
Newport News Stale Police 

Norfolk 

Norfolk State Police 



Petersburg 

Petersburg State Police 

Poquoson 

Portsmouth 

Portsmouth State Police 



Radford 

Radford State Police 

Richmond 

Richmond State Police 
Roanoke 



Roanoke State Police 

Salem 

Salem State Police 

Staunton 

Staunton State Police 

Suffolk 

Suffolk State Police 

Vienna 

Virginia Beach 

Virginia Beach Stale Police 

Waynesboro 

Williamsburg 

Williamsburg State Police 

Winchester 

Winchester State Police 



WASHINGTON 



Auburn 

Bellevue 

Bellingham 

Bremerton 
Centralia 
Des Moines 

Edmonds 

Ellensburg 

Everett 

Kelso 

Kennewick 

Kent 

Kirkland 

Longview 

Lynnwood 

Mercer Island 
Moses Lake 

Mountlake Terrace 

Mount Vernon 

Oak Harbor 

Olympia 

Pasco 



13,785 
224.443 
103,394 



24.878 
22,457 



17,697 
10,065 
29,855 
80,657 
46,306 

36,139 

12,239 
13,465 
28,787 
11,891 

58,254 
10,973 
40,044 
26,878 
19,036 

15,079 
30,227 
23,737 
21,310 
11,119 

16,438 
14,534 

12,421 



18,257 

27 

7,995 



18,369 

28 

K.I (13 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1986 — Continued 



WASHINGTON— Continued 



Port Angeles 

Pullman 

Puyallup 

Redmond 

Renton 

Richland 

Seattle 

Spokane 

Tacoma 

Vancouver 

Walla Walla 

Wenatchee 

Yakima 



WEST VIRGINIA 

Beckley 

Bluefield 

Charleston 

Clarksburg 

Fairmont 

Huntington 

Martinsburg 

Morgantown 

Moundsville 

Parkersburg 

Saint Albans 

South Charleston 

Vienna 

Weirton 

Wheeling 



WISCONSIN 

\ppleton 

\shwaubenon Village 

Heaver Dam 

Seloit 

Brookfield 

Brown Deer 

Caledonia 

Chippewa Falls 

Cudahy 

De Pere 

Bau Claire 

Fond du Lac 

Franklin 

31endale 

jreen Bay 

3reendale 

jreenfield 

lanesville 

Kenosha 

La Crosse 

Madison 

Manitowoc 

Marinette 

Uarshfield 



17,427 
24,022 
19,073 
28,184 
34,240 

33.916 
501,279 
177,893 
163,614 

44,536 

26,246 
18,182 
50.228 



32,811 
51,708 
75,958 



3,901 

1,517 
67,740 
15,561 
22,365 

3,742 

2,71 



20,091 


940 


15,012 


493 


58,358 


6,874 


21,014 


587 


22.433 


939 


60,043 


4,327 


12.931 


1,125 


27,312 


1,325 



62.598 
14,973 


2,388 
1,118 


13,981 


610 


34,177 


3,216 


33,483 


1,220 


13,093 


484 


21,837 


422 


12.521 


482 


19.448 


931 


15,734 


453 


54,113 


2,974 


36,141 


1,691 


18,630 


412 



1,53 
68,091 
15,685 
22,503 

3,765 

2,738 
2,024 
7,694 



3,017 
11,202 
1,575 



41,625 
9,399 

12.963 
2,216 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1986 — Continued 



City by State 




Index 


Modified* 
Crime 


Murder 
and non- 
negligent 

slaughter 


Forcible 
rape 


Robbery 


Aggra- 


Burglary 


"ff 


5 


Arson- 


WISCONSIN— Continued 
























Menasha 


14,715 


767 


769 








21 


172 


565 


9 




Menasha Town 


13,049 

27,126 


421 

774 


421 

777 




4 


1 

3 


12 


114 
168 


281 
553 


13 
37 




Menomonee Falls 




Menomonie 


12,899 


843 


850 




1 


2 


3 


110 


712 


15 




Mequon 

Merrill 


16,275 


226 


227 






1 


1 


31 


181 


12 




10,053 


454 


454 




4 






65 


382 


2 




Middleton 


12,955 


426 


426 




2 


3 


26 


72 


311 


12 




Milwaukee 1 


623,278 


48,909 


49,209 


83 


444 


2,207 


3,401 


8,417 


28,051 


6,306 


30 


Monroe 


10,311 


397 


400 


1 




2 


1 


74 


301 


18 




Muskego 

Neenah 


15,724 


266 


266 










56 


202 


8 




22,636 


1,000 


1,006 


1 


1 


4 


4 


160 


805 


25 




New Berlin 


30,537 


616 


631 




2 


5 


22 


132 


435 


20 


1 


Oak Creek 


17,945 


604 


607 




1 


1 


13 


93 


468 


28 




Onalaska 


10,328 


388 


389 




3 


1 


7 


36 


336 


5 




Oshkosh 


50,349 


3,088 


3,099 




5 


11 


42 


443 


2,520 


67 


1 


Pleasant Prairie 


12,535 


321 


323 








11 


60 


233 


15 




Racine 


83,767 


7,253 


7,359 


5 


76 


329 


566 


2,033 


3,987 


257 


10 


Saint Francis 


10,095 


365 


368 




1 


3 


10 


104 


226 


21 




Sheboygan 


47,879 


2,450 


2,465 




6 


11 


49 


422 


1,875 


87 


1 


Shorewood 


14,859 


544 


546 




1 


36 


13 


148 


326 


20 




South Milwaukee 


21,008 


748 


769 




2 


5 


29 


204 


480 


28 


2 


Stevens Point 


21,719 


1,486 


1,492 


1 


5 


2 


32 


255 


1,154 


37 




Two Rivers 


13,284 


474 


476 






1 


8 


67 


384 


14 




Watertown 


18,287 


505 


509 


2 






4 


104 


375 


16 




Waukesha 


51,783 


1,046 


1,058 


1 


5 


11 


29 


146 


797 


57 


1 


Wausau 


31,944 


2,199 


2,216 




4 


9 


41 


366 


1,721 


58 


1 


Wauwatosa 


51,090 


1,968 


1,974 


1 


6 


48 


14 


296 


1,453 


150 




West Bend 


21,780 


937 


939 






2 


23 


47 


846 


19 




Whitefish Bay 


14,655 


402 


403 




2 


7 


9 


34 


338 


12 




Whitewater 


11,429 


441 


444 






2 




51 


379 


9 




Wisconsin Rapids 


18,984 


1,066 


1.069 






4 


46 


185 


806 


25 




WYOMING 
























Casper 

Cheyenne 


49,160 


3,143 


3,162 




13 


30 


160 


770 


2,042 


128 


1 


50,495 


2,945 


2,953 


7 


10 




45 


431 


2,361 


78 




Evanston 


12,990 


814 


816 


2 


3 


4 


112 


104 


548 


41 




Gillette 


20,409 


962 


968 




8 


11 


18 


140 


754 


31 




Green River 


13,723 


719 


719 




1 


2 


58 


109 


536 


13 




Laramie 


25,043 


1,063 


1,064 




1 


2 


7 


77 


943 


33 




Rawlins 


11,044 


591 


596 


1 


2 


6 


7 


122 


435 


18 




Rock Springs 


20,909 


1,692 


1,699 




11 


16 


180 


301 


1,073 


111 




Sheridan 


16,420 


558 


566 




2 


1 


6 


61 


458 


30 





Aggravated assault and burglary figures are not comparable to prior years. 

2 Forcible rape figures furnished by the state-level Uniform Crime Reporting (UCR) Program administered by the Illinois Department of State Poh< 
with national UCR guidelines. Forcible rapes for Illinois agencies are shown only if the counts were supported by supplemental reports. 
^Aggravated assault figures are not comparable to prior years. 



Table 7. — Number of Offenses Known to the Police, Universities and Colleges, 1986 

• Arson is shown only if 12 months of arson data were received. Leaders (...) indicate zero data. 



University/College 



Violent Crime 



Murder 
negligent 
slaughter 



ALABAMA 

Auburn University: 

Main Campus 

Montgomery 

Jacksonville State University 

University of Alabama, Tuscaloosa 

ARIZONA 

Arizona State University 

Arizona Western College 

Central Arizona College 

Northern Arizona University 

Pima Community College 

University of Arizona 

Yavapai College 

ARKANSAS 

University of Arkansas: 

Fayetteville 

Little Rock 

Medical Science 



CALIFORNIA 

Cabrillo College 

California State College: 

Bakersfield 

San Bernardino 

Stanislaus 

California State Polytechnic Universit 

Pomona 

San Luis Obispo 

California State University: 

Chico 

Dominguez Hills 

Fullerton 

Hayward 

Long Beach 

Los Angeles 

Northndge 

Sacramento 

College of Mann 

College of the Sequoias 

Contra Costa Community College 

Foothill Deanza Community College 

Humboldt State University 

Merced College 

San Diego State University 

San Francisco State University 

San Jose City College 

San Jose State University 

Sonoma State University 

University of California: 

Berkeley 

Davis 

Lawrence Berkeley Laboratory 

Lawrence Livermore Laboratory 

Los Angeles 

Riverside 

Sacramento 

San Diego 

San Francisco 

Santa Barbara 

Santa Cruz 

West Valley College 

Yosemite Community College 



I7.t>lh 
4.252 
6,246 

13.JW 



2,211 
10,106 
10,042 
25.478 



2.61b 

4.42.S 
2,157 



14,860 

13.041 
5,835 
14,231 
17.204 
9,381 
23,798 
14,026 
21,501 
18,472 
3,486 
4,359 
3,158 
12.066 
5.530 
3,442 
27,424 






4,205 

29,745 

18,639 

12,244 



ft 

33,064 

4,605 
(') 
13,884 

3,632 
16,587 

6,929 



Table 7. — Number of Offenses Known to the Police, Universities and Colleges, 1986 — Continued 



Murder 



COLORADO 

Adams State College 
Arapahoe Community College 
Auraria Higher Education Center 
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 
University of Connecticut: 

Avery Point 

Health Center 

Main Campus 

Western Connecticut State University 
Yale University 



21,216 
3,640 

C) 
5,769 
8,116 
3,680 



FLORIDA 

Florida A & M University 

Florida Atlantic University 

Florida International University 

Florida State University 

University of Central Florida 

University of Florida 

University of North Florida 
University of South Florida: 

Saint Petersburg 

Sarasota 

University of West Florida 
GEORGIA 

Albany State College 

Cherokee College 

Georgia Institute of Technology 

Georgia Southern College 

Georgia Southwestern College 

Georgia State University 

North Georgia College 

University of Georgia 

Valdosta State College 

West Georgia College 

ILLINOIS 5 

Black Hawk College 

Chicago State University 

College of DuPage 

Eastern Illinois University 

Governors State University 

Illinois State University 

Joilet Junior College 

Lake County College 

Northeastern Illinois Slate University 
Northern Illinois University 
Southern Illinois University: 

Carbondale 

Edwardsville 
Thornton Community College 
Triton College 



11,583 
32,367 
3,681 

( 4 ) 
(*) 
(') 
4,072 



23,260 
5,422 
4,999 



3,576 
5,158 

11,549 
9,748 
2,314 

18,693 
4,926 
4,544 
6,541 



20,169 
8,222 
3,937 
8,662 



Table 7. — Number of Offenses Known to the Police, Universities and Colleges, 1986 — Continued 



University/College 



Violent Crime 



negligent 



ILLINOIS 5 — Continued 

University of Illinois: 

Chicago 

Urbana 
Western Illinois University 
William Rainey Harper College 



INDIANA 



iana University: 
Bloomington 
Gary 

Indianapolis 
New Albany 



Iowa State University 

University of Iowa 

University of Northern Iowa 



KANSAS 

Empona State University 

Kansas State University, 

Manhattan 

Kansas University Medical Center 
Pittsburg State University 
University of Kansas 
Wichita State University 



KENTUCKY 

Eastern Kentucky University 

Morehead State University 
Murray State University 
Northern Kentucky University 
University of Kentucky 

University of Louisville 

Western Kentucky University 

LOUISIANA 

Louisiana State University, 

Baton Rouge 

Louisiana Tech University 

Northeast Louisiana University 
Southeastern Louisiana University 

MAINE 

University of Maine, Orono 

University of Southern Maine 

MARYLAND 

Bowie State College 

Coppin State College 

Morgan State University 

Saint Mary's College 
Salisbury State College 
Towson State University 
University of Baltimore 
University of Maryland: 

Baltimore City 

Baltimore County 

College Park 

Eastern Shore 



20,730 
34,410 
9,915 



29, 

2,888 
( 4 ) 

2,834 



( 4 : 

25,929 
10,003 



10,543 
4,629 
6,124 
5,988 
17,259 
13,738 
9,139 



9,451 

9,790 

7.7S4 



Table 7. — Number of Offenses Known to the Police, Universities and Colleges, 1986 — Continued 



University/College 



negligent 



MASSACHUSETTS 



Boston College 

Framingham State College 

Massachusetts Institute of Technology 
North Adams State College 

Northeastern University 

University of Massachusetts: 

Harbor Campus-Boston 

Wentworth Institute of Technology 



MICHIGAN 



Central Michigan University 

Delta College 

Eastern Michigan University 

Ferris State College 

Grand Valley State College 

Hope College 

Lansing Community College 

Macomb Community College 
Michigan State University 
Michigan Technological University 
Northern Michigan University 
Oakland University 
Saginaw Valley State College 
University of Michigan, Flint 
Western Michigan University 

MINNESOTA 



University of Minnesota 

MISSISSIPPI 

Mississippi State University 

University of Mississippi 

MISSOURI 

University of Missouri: 

Columbia 

Saint Louis 
Washington University 

NEBRASKA 

University of Nebraska, Lincoln 

NEVADA 

University of Nevada, Reno 

NEW JERSEY 

Brookdale Community College 
Burlington County College 

Essex County College 

Glassboro State College 

Kean College 

Middlesex County College . 

Monmouth College 

Montclair State College 
Rutgers University: 

Camden 

Newark 

New Brunswick 
Stockton State College 
Trenton State College 



9,425 
2,284 

25,695 



15,153 
6,248 
14,601 
10,399 
5,632 
2,303 
9,375 
12,729 
38,051 
6,164 
6,123 
9,007 
3,201 



20,627 
7,642 
8,056 



5,568 
2,957 
3,726 
6,323 
8,304 
6,175 
2,897 
9,938 

3,395 
6,466 

27,239 



Table 7. — Number of Offenses Known to the Police, Universities and Colleges, 1986 — Continued 





Student 


« 


Violent Crime 


Property' 


Property Crime 


University/College 


negligent 


Forcible 


Robbery 


Aggra- 


Burglary 


>"■ 


theft 


Arson- 


NEW JERSEY— Continued 
























Jniversity of Medical and Dentistry: 

Newark 

Piscataway 

William Paterson College 


( 4 ) 
C) 
6,896 


54 
1 
3 






21 


33 
1 
3 


574 
120 


5 


494 
37 
108 


75 
6 
7 




NEW MEXICO 


























4,778 
11,298 
18,656 


15 
12 




2 




6 

13 
8 


158 
410 
898 
81 


37 
43 
48 
24 


118 
348 
805 
54 


3 

19 
45 

3 










. 


Jniversity of New Mexico . 




4 




NEW YORK 
















thaca College 


5.386 
6,426 


2 
1 






' 




246 
316 


8 

63 


238 
253 






Rensselaer Polytechnic Institute 




NORTH CAROLINA 






Appalachian State University 

East Carolina University 

Vorth Carolina State University. Raleigh 
Jniversity of North Carolina: 


9,366 
13,375 
20,057 

1,982 
20,243 
9,248 
5,377 
5,369 


10 
53 

22 
3 
9 




2 

2 

1 


1 


3 
8 

45 


220 
479 
1,061 

67 
657 
265 
244 


5 
99 
163 

24 
37 
86 
10 


214 
377 
861 

43 

595 
177 
229 


3 

37 

25 
2 
5 


1 
7 


Chapel Hill 

Charlotte 


1 


19 
2 
9 


4 


Wilmington 




Western Carolina University 




NORTH DAKOTA 
























Jniversity of North Dakota 


9,724 


8 




3 




5 


327 


10 


314 


3 




OHIO 
























Jowling Green University 

Cleveland State University 
Cuyahoga Community College 
^akeland Community College 


15.997 
11,728 
13,088 
4,246 
14,815 
47,081 
18.951 
21.732 
16,117 
11,203 


7 
20 

7 
23 

7 
43 
10 

7 


i 


1 


2 
9 
2 

12 

5 
3 
3 


5 

6 
6 

34 


823 
322 
108 
69 
487 
1,851 
668 
923 
561 
266 


197 
12 

1 

7 

394 
145 
157 
71 
17 


266 

64 
68 
478 
1,444 
517 
761 
468 
229 


11 
44 
3 

2 
13 
6 
5 
22 
20 


2 


)hio State University 

Jniversity of Akron 

Jniversity of Cincinnati 

Jniversity of Toledo 

I'oungstown State University 


5 


OKLAHOMA 
























Central State University 

Northeastern Oklahoma State University 

Oklahoma State University 

*utnam City Campus 

rulsa Junior College 


9,765 
6,402 
19,462 

C) 

7,484 
2,195 


5 
7 






1 


4 
7 


150 
147 
513 
109 
48 

105 


30 
48 
126 
42 

10 


110 
94 

374 
64 
48 

83 


10 
5 

13 
3 

12 


3 


Jniversity of Oklahoma: 
Health Science Center 








26 


OREGON 






















Jregon State University 


















447 




2 


PENNSYLVANIA 






















Hoomsburg University 


5,634 
4,339 
1,316 
4,937 
3,756 
5,138 


2 
7 
6 

11 

3 








2 
7 
6 

10 
3 


100 
77 
49 
99 
125 
110 


2 
13 
9 

9 
8 


97 
63 
40 
97 
114 
101 


1 

1 
2 




^lifomia University 


1 














.' 




. 


xlinboro University 









115 



Table 7. — Number of Offenses Known to the Police, Universities and Colleges, 1986 — Continued 



University/College 



Violent Crime 



negligent 
slaughter 



Property Crime 



PENNSYI.V AMA— Continued 



Elizabethtown College 

Indiana University 

Kutztown University 

Lehigh University 

Lock Haven University 

Mansfield University 

Millersville University 

Pennsylvania State University: 

Altoona Campus 

Behrend College 

Capital Campus 

McKeesport 

University Park 

Shippensburg University 
Slippery Rock University 
University of Pittsburgh, Bradford 
West Chester University 



RHODE ISLAND 

of Rhode Island 



SOUTH CAROLINA 



Clemson University 

Medical University of South Carolina 
University of South Carolina 



TENNESSEE 

East Tennessee State University 

Middle Tennessee State University. 
University of Tennessee: 

Martin 

Memphis 



TEXAS 



Angelo State University 

Baylor University 

Eastfield College 

East Texas State University 

Lamar University 

McLennan Community College 

Midwestern State University 

North Harris County College 

North Texas State University 

Pan American University 

Richland College 

Southern Methodist University 

South Plains College 

Southwest Texas State University 

Southwestern University 

Stephen F. Austin State University 

Sul Ross State University 

Texas A & M University: 

College Station 

Galveston 

Texas Arts & Industries 

Texas Christian University 

Texas College Osteo. Med 

Texas Southern University 

Texas State Technical Institute: 



Waco 

Texas Tech. University 

Texas Tech. Health Science Center 
Texas Woman's University 



1,455 
11,779 
5,442 
5,435 
2,590 
2,661 
5,518 



1,644 
1,056 
33,120 
5,394 
5,769 
707 
8,022 



11,611 
1,763 
19,126 



4,358 
4,647 

10,834 
2,979 
3,433 
6,893 

17,214 
6,801 
7,041 
7,793 
2,625 

17,371 
1,059 

11,347 



33,229 

570 

4,209 

7,059 







7 




2 
















5 

4 

22 

20 


4 
2 

15 


5 





116 



able 7. — Number of Offenses Known to tbe Police, Universities and Colleges, 1986 — Continued 



niversity of Houston: 

Central Campus 

Clear Lake 

Downtown Campus 

niversity of Texas: 

Arlington 

Austin 

Dallas 

El Paso 

Galveston 

Houston 

Permian Basin 

San Antonio 

Health Science Center, San Antonio 
niversity of Texas Southwest 
Medical School 



UTAH 

righam Young University 

niversity of Utah 

tah State University 

tah Technical College: 

Provo 

Salt Lake 

eber State College 

VIRGINIA 

jristopher Newport College 

allege of William & Mary 

eorge Mason University 

mes Madison University 

Migwood College 

ary Washington College 

Id Dominion University 

idford University 

tomas Nelson Community College 

niversity of Richmond 

niversity of Virginia 

rginia Commonwealth University 
rginia Polytechnic Institute and 
State University 

WASHINGTON 

aitral Washington University 

istern Washington University 

niversity of Washington 

ashington State University 

WEST VIRGINIA 

uefield State College 

mcord College 

lenville State College 

arshall University 

est Liberty State College 

est Virginia Institute of Technology 

est Virginia State College 

est Virginia University 

WISCONSIN 

uversity of Wisconsin: 

Eau Claire 

Green Bay 

Madison 

Milwaukee 



4,572 
11,569 
( 4 ) 
ft 



27,685 
19,760 
9,547 

4,85 
5,462 
8,461 



2,706 
6,092 

11,73 
8,959 
2,555 
2,703 

11,495 
6,254 
2,981 
3,653 

16,450 

14,344 

21,764 



6,320 
7,410 
30,072 
15,377 



1,632 
1.998 
1,356 
B,30« 
2.236 

:,50^ 

3.0-3 
15.774 



9,964 
3,750 

40,506 

19, 



Table 7. — Number of Offenses Known to the Police, Universities and Colleges, 1986 — Continued 





Student 


?-" 


Violent Cnme 


"=' 


Property Crime 


University/College 


Murder 
negligent 


Forcible 
rape 


Robbery 


Aggra- 


Burglary 


theft 


vehicle 


Arson- 


WISCONSIN— Continued 

Oshkosh 


9,233 
3,628 
9,715 

9,003 


3 








2 


236 
64 
152 

272 


17 
18 


235 
129 

249 


1 

6 

5 














WYOMING 

University of Wyoming 




, 







figures provided by the U.S. Department of Education are for 1985, the most recent year available. 

z 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 cnme of arson. 

*Student enrollment figures are not available. 

'Forcible rape figures furnished to the state-level Uniform Cnme Reporting (UCR) Program administered by the Illinois Department of State Police were not in accordance with 
national UCR guidelines Forcible rapes for Illinois agencies are shown only if the counts were supported by supplemental repons. Leaders (...) indicate zero data 

NOTE: Caution should be exercised in making any inter-campus compansons or ranking schools, as university/college cnme statistics are affected by a vanety of factors. These 
include: demographic charactenstics of the surrounding community, ratio of male to female students, number of on-campus residents, accessibility of outside visitors, size of 



118 



rable 8. — Number of Offenses Known to the Police, Suburban Counties, 1986 

The data shown in this table do not reflect county total 
' Arson is shown only if 12 months of arson data were 
offenses, including arson. 



the sum of the Crime Index 



County by State 



Murder 
negligent 



Vutauga 

Jaldwin 

Jlounl 

Calhoun 

Albert 

Sale 

ilmore 

Etowah 

iouston 

efferson 

^auderdale 

iladison 

Mobile 

ilontgomery 

lussell 

laint Clair 



ARIZONA 

Maricopa 

ARKANSAS 

:rawford 

Mttenden 

efferson 

filler 
"ulaski 



C'AIIFORNIA 



dameda 

klameda Highway Patrol 

dameda State Police 

lutte 

lutte Highway Patrol 

lutte State Police 

bntra Costa 

Contra Costa Highway Patrol 

lontra Costa State Police 

:l Dorado 

il Dorado Highway Patrol 



2,661 
8.872 



Lent Highway Patro! 
Lem State Police 

.os Angeles 

.c* Angeles Highway Patr 

.os Angeles State Police 

larin 

4arin Highway Patrol 

ierced 

lerced Highway Patrol 

lonterey 

lonterey Highway Patrol 

Japa Highway Patrol 

)range Highway Patrol 



119 



Table 8. — Number of Offenses Known to the Police, Suburban Counties, 1986— Continued 



Crime 
Index 
total 



.'odlfk-d* 

Crime 

total 



Murder 
negligent 



Aggra- 
vated 



CALIFORNIA— Continued 

Orange State Police 

Placer 

Placer Highway Patrol 

Riverside 

Riverside Highway Patrol 

Riverside State Police 

Sacramento 

Sacramento Highway Patrol 

Sacramento State Police 

San Bernardino 

San Bernardino Highway Patrol 
San Bernardino State Police 

San Diego 

San Diego Highway Patrol 

San Diego State Police 

San Joaquin 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 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 Highway Patrol 

Ventura 

Ventura Highway Patrol 

Yolo 

Yolo Highway Patrol 

Yolo State Police 

Yuba 

Yuba Highway Patrol 



COLORADO 



Adams 

Boulder 

El Paso 

Jefferson 

Larimer 

Pueblo 

Weld 



DELAWARE 



3,322 
26,147 



39 
23,092 

65 
6,861 

54 

6 

4,746 

3,590 

47 
4,008 

2,761 

37 
845 

8 

4,478 

20 
5,615 

3 
1,319 

5,968 

2,316 

2,707 



4,796 
4,431 

1,430 



13 


18 


7,949 


9,315 




27 


18 


38 


2,736 


3,538 




73 


7 


41 


555 


2,330 



4,274 
1,064 

373 



Table 8. — Number of Offenses Known to the Police, Suburban Counties, 1986 — Continued 



County by State 



Modified* 

Index 

total 



Murder 
and non- 
negligent 

slaughter 



Aggra- 
assault 



FLORIDA 

Alachua 

Bay 

Bradford 
Brevard 
Broward 

Clay 

Collier 

Dade 

Escambia 

Gadsden 

Hernando 

Hillsborough 

Lee 

Leon 

Manatee 

Marion 

Martin 

Nassau 

Dkaloosa 

Dsceola 

Palm Beach 

Pasco 

Pinellas 
^olk 

saint Johns 

Saint Lucie 

Santa Rosa 

Seminole 

/olusia 

GEORGIA 

Harrow 

3ibb 

Jutts 

Chatham 

Chatham Police Departme 

Chattahoochee 

Cobb 

Cobb Police Department 

Columbia 

Dade 

DeKalb 

DeKalb Police Depanmen 

iffingham 

-ulton 

J ulton Police Department 

jwinnett 

ienry 

dadison 

■Jewton 

)conee 

"each 

Richmond 

tockdale 

Ipalding 

Valker 

Valton 



2,649 

30,332 
6,947 
1,863 

11,274 
4.556 
3,30 
1,275 
2,640 

25,088 
2,177 

24,362 
9,631 

11,744 



3,113 
2,382 
10,393 
5,628 
5,202 



6,976 
1,876 

11,324 



2,645 
25,145 
2,186 
24,416 
9,714 
11,804 
15,269 
3,473 
3,125 
2,391 
10,420 
5,667 
5,225 



1,862 


4,252 


3,130 


5,286 


723 


2,224 


1,812 


3,089 


24,772 


47,676 


3,554 


7,517 


233 


207 


837 


1,330 


8,433 


16.94C 


2,540 


3,442 



7,534 


12,748 


2,644 


5,617 


3,992 


6,227 


3,918 


8,633 


902 


1,703 


1,077 


1,512 


699 


1,294 


2,827 


6,422 


1,671 


2,961 


2,181 


2,297 



505 


20,257 


120 


160 


402 


610 


10 


35 


.035 


4,250 


,971 


6,555 



Table 8. — Number of Offenses Known to the Police, Suburban Counties, 1986 — Continued 



Index 
total 



Modified* 
Crime 

total 



Murder 
and non- 
negligent 

slaughter 



Boone 



Clinton 
Cook 
Du Page 
Gmndy 

Kane 

Kankakee 

Kendall 

Lake 

McHenry 

McLean 

Madison 
Menard 
Monroe 

Peoria 

Rock Island 
Saint Clair 
Sangamon 
Tazewell 

Will 

Winnebago 
Woodford 



347 
305 
1,428 
795 



INDIANA 



Allen 

Allen State Police 

Elkhart 

Elkhart State Police 

Hamilton 

Hamilton State Police 

Howard 

Howard State Police 

Lake 

Lake State Police 

Marion 

Marion State Police 

Monroe 

Monroe State Police 

Porter 

Porter State Police 

Saint Joseph 

Saint Joseph State Police 

Tippecanoe 

Tippecanoe Stale Police 

Vanderburgh 

Vanderburgh State Police 



1,984 
211 
793 



IOWA 



Black Hawk 



Dallas 

Dubuque 

Johnson 

Polk 

Pottawattamie 

Scott 

Warren 

Woodbury 

KANSAS 

Butler 

Douglas 



122 



Number of Offenses Known to the Police, Suburban Counties, 1986 — Continued 



Crime 
total 



Modified* 

Index 

total 



lirL'llL'rnI 

man- 
slaughter 



Aggra- 
vated 
assault 



KANSAS— Continued 



Jefferson 

Johnson 

Leavenworth 

Sedgwick 

Shawnee 

Wyandotte 

KENTUCKY 

Boone 

Boone Police Department 

Boone State Police 

Bourbon 

Bourbon State Police 

Boyd 

Boyd State Police 

Bullitt 

Bullitt Police Department 
Bullitt State Police 
Campbell Police Department 
Campbell State Police 

Carter 

Carter State Police 

Christian 

Christian Police Department 

Christian State Police 

Clark 

Clark State Police 

Daviess 

Daviess State Police 
Fayette State Police 

Greenup 

Greenup State Police 

Henderson 

Henderson State Police 

Jefferson Police Department 
Jefferson State Police. 

Jessamine 

Jessamine State Police 
Kenton Police Department 
Kenton State Police 
Oldham Police Department 
Oldham State Police 

Scott 

Scott Police Department 
Scott State Police 

Shelby 

Shelby State Police 

Woodford 

Woodford Police Department 

Woodford State Police 

LOUISIANA 

Bossier 

Caddo 

Calcasieu 

East Baton Rouge 
Jefferson 

Lafayette 

LaFourche 

Livingston 

Ouachita 
Rapides 
Saint Charles 

Saint Tammany 

West Baton Rouge 



9,224 
28,298 
2,454 



2.465 
5.44D 
16.487 
1,324 



Number of Offenses Known to the Police, Suburban Counties, 1986— Continued 



Index 
total 



Modified* 
Crime 

total 



Murder 
negligent 
slaughter 



Forcible 



Androscoggin 

Androscoggin State Police. 
Cumberland 
Cumberland State Police 



MARYLAND 

Allegany 

Allegany County Investigator 

Allegany State Police 

Anne Arundel Police Department 

Anne Arundel State Police 

Baltimore Police Department 



Ball 



Polk 



Police 



Calvert 

Calvert State 

Carroll . 

Carroll State Police 

Cecil 

Cecil State Police 

Charles 

Charles State Police 

Frederick 

Frederick State Police 

Harford 

Harford State Police 

Howard 

Howard State Police 

Montgomery 

Montgomery Police Department 

Montgomery State Police 

Prince Georges 

Prince Georges Police Department 
Prince Georges State Police 

Queen Anne's 

Queen Anne's State Police 

Washington 

Washington State Police 

MICHIGAN 



Bay 

Bay State Police 

Berrien 

Berrien State Police 

Calhoun 

Calhoun State Police 

Clinton 

Clinton State Police 

Eaton State Police 

Genesee State Police 

Ingham 

Ingham State Police 

Jackson 

Jackson State Police 

Kalamazoo 

Kalamazoo State Police 

Kent 

Kent State Police 

Lapeer State Police 

Livingston 

Livingston State Police 

Macomb 

Macomb State Police 

Midland 

Midland State Police 



15,368 
1,626 

42,459 



Table 8. — Number of Offenses Known to the Police, Suburban Counties, 1986 — Continued 



total 



Modified* 

Index 

total 



Aggra- 
vated 

assault 



MICHIGAN— Continued 

Muskegon 

Muskegon State Police 

Oakland 

Oakland State Police 

Ottawa 

Ottawa State Police 

Saginaw State Police 

Saint Clair 

Saint Clair State Police 
Washtenaw 

Washtenaw State Police 

Wayne 

Wayne State Police 

MINNESOTA 

Benton 
Carver 
Chisago 

Clay 
Dakota 

Hennepin 

Olmsted 

Ramsey 

Saint Louis 

Scott 

Sherburne 

Steams 

Washington 

Wright 

MISSISSIPPI 



Buchanan 

Cass 
Christian 

Clay 

Franklin 

Lafayette 

Platte 

Ray 

:Saint Charles 

Saint Louis Police Depart! 

NEBRASKA 

pakota 

|Dakota State Patrol 

Douglas 

Douglas State Patrol 

jLancaster 

Lancaster State Patrol 

Sarpy 

Sarpy State Patrol 

Washington 

Washington State Patrol 



Number of Offenses Known to the Police, Suburban Counties, 1986 — Continued 



County by State 


Crime 
total 


Modified* 
Crime 

total 


Murder 
negligent 
slaughter 


Forcible 


Robbery 


Aggra- 
vated 


Burglary 


theft 


Motor 
vehicle 
theft 


Arson* 


NEVADA 






















Washoe 


1,715 




6 


70 


21 


89 


510 


915 


104 




NEW JERSEY 






















Atlantic State Police 


1,033 


1,045 


1 


7 


17 


36 


130 


805 


37 




Bergen State Police 


424 


425 


1 




11 


25 


18 


284 


85 




Burlington State Police 


898 


916 


1 


11 


11 


43 


247 


499 


86 




Camden State Police 


43 


44 






6 


7 


3 


25 


2 




Cape May State Police 


390 


392 


1 


5 




24 


138 


193 


23 




Cumberland State Police 


932 


948 


2 


11 


g 


87 


356 


424 


44 




Essex County Police 


598 


609 


1 


38 


131 


132 


62 


192 


42 




Essex State Police 


71 


71 


1 


1 


17 


9 




36 






Gloucester State Police 


23 


23 






2 


3 


2 


15 


1 




Hudson State Police 


37 


37 






5 


7 


1 


20 


4 




Hunterdon State Police 


321 


325 




3 


3 


16 


107 


164 


28 




Mercer State Police 


293 


294 








4 


21 


250 


12 




Middlesex State Police 


142 


143 






5 


13 


1 


108 


15 




Monmouth State Police 


296 


299 


1 


1 


3 


19 


79 


171 


22 




Morris State Police 


59 


59 






2 


8 




41 


4 




Ocean State Police 


169 


171 








18 


26 


114 


7 




Passaic State Police 


27 


27 




1 


2 


3 


1 


12 


8 




Salem State Police 


488 


495 




3 


9 


29 


186 


222 


39 




Somerset State Police 


23 


23 








1 


6 


14 


2 




Sussex State Police 


496 


500 


1 


1 




26 


174 


252 


42 




Union State Police 


45 


45 




1 


7 


4 


3 


26 


4 




Warren State Police 


303 


308 


2 


2 


1 


22 


80 


163 


33 




NEW MEXICO 






















Bernalillo 


5,422 


5.445 


16 


52 


130 


551 


2,677 


1,693 


303 




Dona Ana 


1,452 


1,475 


2 


20 


20 


113 


586 


626 


85 




Santa Fe 


472 


473 


5 


2 


4 


79 


227 


121 


34 




NEW YORK 






















Albany 


130 










30 


36 


61 


3 




Albany Slate Police 


768 


787 




8 


3 


27 


252 


460 


18 




Broome 


790 


801 


1 


11 


2 


5 


182 


553 


36 




Broome State Police 


734 


742 


1 


4 


3 


23 


190 


501 


12 




Chemung 


498 


502 


1 


3 


2 


34 


138 


298 


22 




Chemung State Police 


513 


517 


1 


1 


2 


57 


81 


355 


16 




Dutchess 


1.192 


1.229 




2 


7 


138 


329 


671 


45 




Dutchess State Police 


1,227 


1.232 


1 


7 


17 


168 


365 


618 


51 




Greene 


5 


5 












5 






Greene State Police 


586 






5 


5 


89 


187 


279 


21 




Livingston 


715 


717 




3 


3 


79 


129 


492 


9 




Livingston State Police 


143 


143 




1 




9 


21 


107 


5 




Madison 


105 


105 








3 


43 


59 






Madison State Police 


398 




1 


12 


1 


18 


171 


185 


10 




Monroe 


5,482 


5.531 


3 


20 


41 


50 


852 


4,254 


262 


i 


Monroe State Police 


851 


852 


1 


2 


4 


8 


74 


735 


27 




Montgomery 


158 










10 


60 


82 


6 




Montgomery State Police 


126 


129 


1 




1 


8 


29 


80 


7 




Nassau. 


32.559 


32,769 


19 


86 


1,006 


867 


6,542 


18,391 


5.648 


2 


Niagara 


1,857 




2 


18 


23 


121 


402 


1,177 


114 




Niagara State Police 


610 


616 




4 


3 


19 


165 


406 


13 




Oneida 


538 


543 


1 


4 


3 


4 


191 


319 


16 




Oneida State Police 


1.335 


1,354 


1 


9 


7 


77 


367 


853 


21 




Onondaga 


2,959 


2,961 


2 


41 


31 


169 


676 


1.886 


154 




Onondaga State Police 


1,545 


1.548 


1 


6 


7 


30 


266 


1.190 


45 




Ontario 


1,068 


1,073 


1 


10 


4 


75 


310 


630 


38 




Ontario State Police 


416 


418 




1 




20 


110 


279 


6 




Orange 


11 


11 








7 


1 


3 






Orange State Police 


1,507 




3 


7 


37 


72 


386 


918 


84 




Orleans 


307 


307 


1 


4 


3 


24 


87 


179 


9 




Orleans State Police 


137 


139 


1 




2 


30 


63 


41 






Oswego 


514 


565 




6 


3 


9 


130 


326 


40 




Oswego State Police 


664 




1 


11 


3 


16 


269 


355 


9 




Putnam 


649 






2 


23 


56 


173 


352 


43 





Table 8. — Number of Offenses Known to the Police, Suburban Counties, 1986 — Continued 



NEW YORK— Continued 

Putnam State Police 

Rensselaer .... 

Rensselaer State Police 

Saratoga 

Saratoga State Police 

Schenectady 

Schenectady State Police 
Tioga 

Tioga State Police 

Warren 

Warren State Police 

Washington 

Washington State Police 

Wayne 

Wayne State Police 

Westchester 

Westchester State Police 

NORTH CAROLINA 



Crime 
total 



Modified* 
Crime 

total 



Forcible 



Aggra- 
vated 
assault 



'!,„: 



nbe 



Burke 

Cabarrus 

Catawba 

Cumberland 

Davidson 

Durham 

Forsyth 
Franklin 
Gaston 
Guilford 

Mecklenburg 

New Hanover 

Onslow 

Orange 

Randolph 

Stokes 
Union 
Wake 
Yadkin 

NORTH DAKOTA 

Burleigh 

Cass 

Grand Forks 

Morton 



4,078 
1.987 
2.542 



Clermont 

Fairfield 

Franklin 

Fulton 

Greene 

Hamilton 

Lake 

Lorain 

Madison 

Mahoning 

Montgomery 



Ttiblc 8. — Number of Offense* Known to the Police, Suburban Counties, 1986 — Continued 



County by State 


Crime 
Index 
total 


Modified* 
Crime 

total 


Murder 
and non- 
negligent 

sl.illglll.-l 


Forcible 


Robbery 


Aggra- 
assault 


Burglary 


Larceny- 
theft 


Motor 

vehicle 
theft 


Arson* 


OHIO— Continued 






















l'n kn« i\ 


903 


904 


2 


5 


5 


69 


336 


461 


25 




Richland 


1,202 


1,202 


1 


1 


9 


69 


329 


727 


66 




Sturk 


2,330 


2,353 




II 


38 


83 


843 


1,173 


182 




rrumbuU 


618 


622 


5 


4 


4 


78 


150 


293 


84 




Wiirmi 


1,67.1 




1 


6 


11 


61 


349 


1.143 


102 




Wuhington 


676 


683 


1 


5 


5 


11 


243 


383 


28 




Wood 


.147 


352 


1 


1 




12 


105 


214 


14 




OKLAHOMA 






















Canadian 


2.14 


247 




4 


2 


2 


129 


80 


17 




Cleveland 


667 


679 


2 


13 


5 


67 


310 


232 


38 




Comanche 


248 


254 




2 


1 


1.1 


91 


122 


19 




Creek 


868 


876 


7 


2 


5 


60 


387 


261 


146 




< lirfleld 


19S 


196 


1 


1 






89 


94 


10 




1 ogan 


52.1 


541 




6 




28 


238 


222 


29 




McClsln 


175 


180 






1 


3 


86 


55 


30 




Oklahoma 


418 


491 


2 


1 


7 


3 
10 


210 
227 


162 
188 


33 
55 




Pottawatomie 


655 


656 


5 




8 


62 


322 


222 


36 




Rogers 


715 




2 


2 


2 


37 


333 


275 


64 




Sequoyih 


292 




1 






9 


182 


75 


25 




IMlM 


2,061 


2,094 


1 


17 


26 


122 


682 


877 


336 




Was 


678 


686 


1 


2 


2 


29 


333 


239 


72 




OREGON 






















Clackamas 


8.7.15 


8,772 


12 


44 


120 


95 


3.224 


4,352 


888 




t i.i, kamaa State Police 


2.W 


267 




52 




12 


41 


106 


28 




Jackson 


1.514 


1.540 


4 


14 


17 


61 


475 


869 


94 




Jackson State Police 


116 


325 


1 


1.1 


3 


53 


56 


126 


64 




i .in. 


867 


871 


1 


3 


8 


2 


269 


551 


33 




i line State Police 


1,290 


1.115 


2 


15 


25 


63 


621 


431 


133 




Mil noil 


2,870 


2.875 


5 


23 


69 


161 


869 


1.588 


155 




Marion State Police 


560 


575 


2 


22 


10 


49 


119 


313 


45 




Multnomah 


6.879 


6.928 


5 


31 


151 


.160 


2.423 


3,429 


480 




Multnomah State Polii e 


178 


178 




1 1 




10 


3 


142 


12 




Polk 


.167 


.167 






1 


7 


173 


163 


23 




Polk State Police 


26 


26 




1 






l.l 


11 


1 




Washington 


5.182 


5,206 


5 


38 


77 


29 


1.831 


2,935 


2t^ 




Washington Slate Police 


247 


260 


4 


16 


7 


20 


44 


119 


37 




Yamhill 


5.15 


536 




1 


3 


40 


203 


252 


36 




Yamhill State Police 








11 






7 


8 






PENNSYLVANIA 






















Adams State Police 


59 1 


603 


4 


i: 


11 


2.1 


196 


294 


51 




Allegheny Stall Poll > 


680 


(.SO 


.1 


5 


46 


75 


215 


214 


122 




Beavei sin. Polio 


21" 


241 




5 


2 


22 


.j i 


89 


:s 




Berks State Police 


6.1') 


64.1 




2 


8 


14 


267 


29.1 


55 




iii.in si. n. Police 


424 


432 




4 


3 


17 


147 


214 


39 




Bucks State Police 


428 


4.18 


.1 




4 


52 


1.15 


1»6 


36 




Cambria State Police 


245 


25') 


1 


8 


1 


5 


94 


117 


19 




Carbon State Police 




409 








25 




1.12 


10 




Centre 


1 










1 










Centre State Police 


6«2 


701 




8 


: 


21 


321 


.105 


.13 




Chattel Detective 


4.1 


44 




11 




7 




22 


1 




Chester State Police 


1,891 


1,931 


8 


26 


22 


151 


782 


742 


160 




Columbia State Police 


558 


561 


1 






4 


81 


457 


13 




Cumberland State Poll i 


440 


451 




8 


6 


23 


151 


222 


10 




Dauphin sink- Police 


SOI 


815 


1 


5 


11 


67 


215 


40" 


73 




Delaware Criminal Investigation 












6 










Division 




















Delaware State Police 


1.007 


1.028 




1 


6 


25 


24" 


583 


141 




in. s, ,i, Police 


1..175 


1,406 




16 


12 


46 


416 


757 


10s 




l ackawanna State Police 


186 


wo 


1 


3 


4 


10 


117 


40 


11 




i ancastet State Police 


984 


1,003 


3 




S 


9.1 


389 


4M 


68 




i ebanon State Police 


416 


438 




1 


3 


68 


125 


221 


IS 




i ehlgh State Police 


SMI 


854 


: 


5 


8 


31 


311 


4:' 


66 





Table 8. — Number of Offenses Known to the Police, Suburban Counties, 1986 — Continued 



County by State 



Cnme 
Index 
total 



Modified' 

Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



PENNSYLVANIA— Continued 



Luzerne State Police 
Lycoming State Police 
Mercer State Police 
Monroe State Police 
Montgomery Detective 
Montgomery State Police 
Northampton State Police 

Perry State Police 

Philadelphia State Police 
Somerset State Police 
Washington State Police 
Westmoreland Detective 
Westmoreland State Police 
Wyoming State Police 



RHODE ISLAND 



Kent State Police 

Providence State Police 
Washington State Police 



SOUTH CAROLINA 

Anderson 

Berkeley 

Charleston Police Department 

Dorchester 

Florence 

Greenville 

Lexington 

Pickens 

Richland 

Spartanburg 

York 

SOUTH DAKOTA 

Minnehaha 

Pennington 

TENNESSEE 

Carter 

Grainger 

Hamilton 

Jefferson 

Knox 

Madison 

Montgomery 

Sevier 

Shelby 

Sullivan 

Unicoi 

Washington 
Williamson 



Bell 
Bexar 

Brazona 

Cameron 

Collin 

Comal 



3, 
J.949 

2.S20 



3.058 


5,458 


1,299 


3,437 


361 


467 


2,373 


4,096 


1,835 


4,368 



Table 8. — Number of Offenses Known to the Police, Suburban Counties, 1986 — Continued 



County by Stale 



Modified* 
Crime 

total 



Murder 
negligent 
slaughter 



Forcible 



TEXAS— Contii 



Coryell 
Dallas 
Denton 

Ector 

Ellis 

El Paso 

Fort Bend 

Galveston 

Grayson 

Gregg 

Guadalupe 

Hardin 

Harris 

Harrison 

Hays 

Hidalgo 

Jefferson 

Johnson 

Kaufman 

Lubbock 
McLennan 
Midland 
Montgomery 

Orange 

Parker 

Potter 

Randall 

Rockwall 

San Patncio 

Tarrant 

Taylor 

Tom Green 

Waller 
Webb 
Wichita 

Williamson 



1.923 
2,596 
1,034 
1,183 



256 

567 

2.646 



330 
961 
1,165 



Davis 

Salt Lake 

Utah 

Weber 

VIRGINIA 



Albemarle Police Departme 
Albemarle State Police 

Amherst 

Amherst State Police 

Botetourt 

Botetourt State Police 

Campbell 

Campbell State Police 

Charles City 

Charles City State Police 

Chesterfield Police Departn 

Chesterfield State Police 

Dinwiddie 

Dinwiddie State Police 

Fairfax Police Department 

Fairfax State Police 

Fluvanna 

Fluvanna State Police 



Table 8. — Number of Offenses Known to the Police, Suburban Counties, 1986 — Continued 



Crime 
total 



VIRGINIA— Continued 

Gloucester 

Gloucester State Police 

Goochland 

Goochland State Police 

Greene 

Greene State Police 

Hanover 

Hanover State Police 

Henrico Police Department 

Henrico State Police 

lames City Police Department 

lames City State Police 

Loudoun 

Loudoun State Police 

New Kent 

New Kent State Police 

Pittsylvania 

Pittsylvania State Police 

Powhatan 

Powhatan State Police 

Prince George 

Prince George State Police 
Prince William Police Department 
Prince William State Police 

Roanoke 

Roanoke State Police 

icott State Police 

Stafford 

Stafford State Police 

Washington 

Washington State Police 

fork 

rork State Police 

WASHINGTON 

3enton 

:iark 

ting 
Citsap 

Snohomish 

Spokane 

rhurston 

Whatcom 
fakima 

WEST VIRGINIA 

Jrooke State Police 

:abell 

:abell State Police 

fancock 

Canawha 

Canawha State Police 

Marshall 

Marshall State Police 

Mineral 

Mineral State Police 

)hio 

)hio State Police 



;s,xn.i 
3.671 
15,779 



Murder 
and non- 
negligent 

slaughter 



3,697 
15,874 
6.516 
6.653 
3,156 



Aggra- 
assault 



332 


413 


2,376 


3,687 


240 


213 


9,071 


16,889 


1,238 


2,071 


5.777 


8,021 


2,771 


2,919 


2,197 


3,937 


1,120 


1,663 



131 



Table 8. — Number of Offenses Known to the Police, Suburban Counties, 1986— Continued 



County by Stale 


Crime 
Index 
total 


Modified* 

Index 

total 


Murder 
and non- 
negligent 

slaughter 


Forcible 
rape 


Robbery 


Aggra- 
assault 


Burglary 


Larceny- 
theft 


theft 


— 


WEST VIRGINIA— Continued 






















Wayne State Police 


189 


193 


2 


1 


5 


4 


85 


68 


24 




Wood 


343 


348 




1 


1 


1 


91 


231 


18 




Wood State Police 


116 






1 


8 




36 


62 


9 




WISCONSIN 






















Brown 


1.234 


1,240 




3 


3 


57 


187 


913 


71 




Calumet 


170 


170 








2 


40 


116 


12 




Chippewa 


217 


217 










66 


149 


2 






Dane 


1,375 


1,384 




7 


7 


158 


380 


714 


109 




Eau Claire 


441 


442 








1 


170 


247 


23 




385 


389 




3 


1 


16 


115 


238 


12 




Kenosha 


1,281 


1,288 


2 


15 


15 


27 


325 


813 


84 




Marathon 


800 


802 




2 


6 


67 


171 


494 


60 




Milwaukee 


560 


566 




5 


5 


62 


9 


446 


33 




Outagamie 


868 


869 






2 


2 


183 


638 


43 




Ozaukee 


195 


200 








2 


60 


126 


7 




Racine 


757 


767 


1 


7 


10 


16 


228 


445 


50 




Rock 


611 


617 


1 


5 


3 


41 


179 


354 


28 




Saint Croix 


342 


345 






1 




96 


223 


22 




Sheboygan 


476 


482 




8 


3 


3 


123 


313 


26 




Washington 


748 


753 


2 




4 


23 


212 


459 


48 




Winnebago 

WYOMING 


469 


469 






3 




100 


346 


16 
























Laramie 


562 


567 


2 


7 


1 


65 


116 


349 


22 




Natrona 


825 


830 


3 


1 


9 


35 


300 


417 


60 





132 



Table 9. — Number of Offenses Known to the Police, Rural Counties 25,000 and over in Population, 1986 

[The data shown in this table do not reflect county totals but are the number of offenses reported by the sheriffs office, county police department, or sta 
• 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 Crin 
offenses, including arson- 



County by State 



Crime 
total 



Murder 
negligent 
slaughter 



ALABAMA 

Cullman 
Dallas 
De Kalb 
Jackson 

Lawrence 
Lee 

Marshall 

Morgan 

Talladega 



Cochise 

Coconino 

Mohave 

Navajo 

Pinal 

Yavapai 



Craighead 

Garland 

Independen 

Mississippi 

White 



ARIZONA 



ARKANSAS 



CALIFORNIA 



Humboldt 

Humboldt Highway Patrol 

Imperial 

Imperial Highway Patrol 

Imperial State Police 

Kings 

Kings Highway Patrol 

Lake 

Lake Highway Patrol 

Madera 

Madera Highway Patrol 

Mendocino 

Mendocino Highway Patrol 

Nevada 

Nevada Highway Patrol 

San Luis Obispo 

5an Luis Obispo Highway Patrol 

lehama 

rehama Highway Patrol 

ruolumne 

fuolumne Highway Patrol 



1.310 
2.017 



COLORADO 



Mesa 

DELAWARE 

Kent State Police 

Sussex State Police 

FLORIDA 

Charlotte 

Columbia 



Table 9. — Number of Offenses Known to the Police, Rural Counties 25,000 and over in Population, 1986 — Continued 



County by State 


Crime 
Index 
total 


Modified* 
total 


Murder 

negligent 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


theft 


Motor 
theft 


Arson- 


FLORIDA— Continued 






















Highlands 


1,413 


1,414 


3 


7 


24 


170 


543 


569 


97 




Indian River 


1,977 


1,989 


8 


37 


77 


189 


778 


746 


142 


1 


Jackson 


794 


798 


1 


4 


4 


95 


271 


378 


41 




Lake 


2,172 


2,205 


3 


19 


78 


258 


1,099 


576 


139 


3 


Monroe 


4,193 


4,212 


6 


32 


83 


556 


1,149 


2.140 


227 


1 


Putnam 


2,261 


2,264 


4 


71 


41 


364 


930 


772 


79 




GEORGIA 






















Bartow 


635 




4 


, 


12 


13 


235 


269 


101 




Carroll 


946 




4 


18 


9 


67 


301 


470 


77 




Glynn 

Glynn Police Department 


4 


4 












3 










5 


10 


24 


102 


513 


1,250 


94 




Gordon 


477 






6 


11 


21 


183 


203 


53 




Hall 


2,043 




1 


18 


13 


143 


522 


1,142 


204 




Liberty 


422 






7 


12 


40 


140 


190 


33 




Whitfield 


1.459 




2 


6 


12 


91 


451 


701 


196 




HAWAII 






















Hawaii 


2,951 


2,965 


i 


22 


20 


59 


865 


1,856 


128 


1 


Kauai 


2,418 


2,428 


1 


19 


10 


71 


591 


1,610 


116 


1 


Mau, 


6,018 


6,076 


2 


29 


30 


182 


1,544 


3,945 


286 


5 


IDAHO 






















Bonneville 


820 


825 


, 


3 


2 


56 


205 


523 


30 






844 


858 


3 


11 


7 


38 


305 


438 


42 


1 


Kootenai 


1,052 


1.062 


2 


8 


4 


79 


362 


543 


54 


1 


ILLINOIS' 






















Adams 










2 


29 


138 


174 


6 




La Salle 


482 


487 






1 


7 


212 


220 


42 




Ogle 










2 


3 


43 


99 


7 




Vermilion 






1 




9 


49 


293 


373 


42 


1 


INDIANA 






















La Grange 

La Grange State Police 


230 






1 




10 


75 


126 


18 




86 




1 


2 


3 


13 


16 


37 


14 




La Porte 


660 


660 


1 




4 


23 


227 


380 


25 




La Porte State Police 


96 




4 




3 


18 


4 


44 


23 




Wayne 


335 






2 






78 


237 


18 




Wayne State Police 


60 




1 






12 


5 


30 


12 




KANSAS 






















Riley Police Department 


206 


206 


1 


3 


3 


20 


56 


114 


9 




KENTUCKY 






















Floyd 


1 


1 








1 










Floyd State Police 


562 


616 


4 


4 


5 


93 


193 


201 


62 


5 


Hardin 


92 


96 




1 




14 


23 


54 






Hardin State Police 


193 


198 


1 


4 


2 


27 


96 


38 


25 




Harlan 


8 


8 






1 


6 




1 






Harlan State Police 


658 


683 


4 


6 


9 


184 


181 


226 


48 


: 


Knox 


42 


42 










28 


8 


6 




Knox State Police 


384 


402 


1 


9 


7 


40 


146 


121 


60 


i 


Laurel 


246 


247 


2 


2 


2 


72 


73 


73 


22 




Laurel State Police 


468 


494 


1 


5 


3 


52 


183 


131 


93 


: 


McCracken 


519 


520 


2 


2 


2 


82 


103 


309 


19 




McCracken State Police 


59 


74 


1 






15 


16 


18 


9 


i 


Perry 


3 


5 








3 










Perry State Police 


456 


474 


3 


5 


8 


103 


114 


153 


70 


i 


Pike 


111 


111 




2 


1 


31 


35 


33 


9 




Pike State Police 


848 


892 




7 


10 


143 


253 


325 


104 


4- 



able 9. — Number of Offenses Known to the Police, Rural Counties 25,000 and over in Population, 1986— Continued 



llegan State Police 

irry 

irry State Police 

iss 

iss State Police 
rand Traverse 
rand Traverse State Poll 

illsdale 

Usdale State Police 

ibella 

Sbella State Police 

e State Police 

ontcalm 

ontcalm State Police 

swaygo 

waygo State Police 

nt Joseph 

nt Joseph State Police 

ailac 

lilac State Police 

awassee State Police 

scola 

scola State Police 

n Buren 

ren State Police 



Crime 
total 



Modified* 

Index 

total 



Murder 
and non- 
negligent 

slaughter 



Forcible 
rape 



Aggra- 
assault 



KENTUCKY— Continued 

ulaski 

jl.i^ki Slate Police 

'arren 

r arren State Police 

LOUISIANA 

cadia 

aquemines 

lint Mary 
mgipahoa 

srnon 

MAINE 

roostook 

roostook State Police 

ennebec 

ennebec State Police 

xford 

xford State Police 

jnobscot 

inobscot State Police 

ork 

ork State Police 

MARYLAND 

arrett 

arrett State Police 

lint Mary's 

int Mary's State Police 

icomico 

icomico State Police 

MICHIGAN 



1,002 
1,014 
1,398 



135 



Table 9. — Number of Offenses Known to the Police, Rural Counties 25,000 and over in Population, 1986 — Continued 



County by State 


Crime 

total 


Modified* 

Index 
total 


and non- 
negligent 

man- 
slaughter 


Forcible 


Robbery 


Aggra- 
assault 


Burglary 


Larceny- 
theft 


Motor 
theft 


Arson 


MINNESOTA 






















Crow Wing 


743 


743 




6 




36 


318 


350 


33 




Itasca 


810 


813 




1 


4 


17 


341 


405 


42 




Otter Tail 


618 


623 


1 


2 




7 


214 


369 


25 




MISSISSIPPI 






















Jones 


442 




! 


6 


4 


22 


206 


203 






Lauderdale 


355 




4 


9 


5 


29 


188 


103 


17 




Lee 


476 


476 


2 


4 




13 


210 


195 


46 




Warren 


542 




4 


8 


3 


15 


229 


247 


36 




MISSOURI 






















Cole 


489 


490 




11 


6 


83 


142 


228 


19 




Johnson 


241 




1 


2 




11 


123 


97 


7 




Pulaski 


148 




1 


3 


4 


13 


70 


51 


6 




Saint Francois 


295 








4 


50 


125 


108 


8 




Stoddard 


299 




2 


4 




22 


67 


180 


24 




NEW HAMPSHIRE 






















Rockingham State Police 


83 


86 




6 


4 


17 


29 


21 


« 




NEW MEXICO 






















San Juan 


666 


672 


2 


16 


6 


51 


171 


381 


39 




NEW YORK 






















Allegany 


2 










2 










Allegany State Police 


501 


507 




2 


3 


23 


238 


229 


6 




Cattaraugus 


279 


305 




1 




27 


99 


139 


13 




Cattaraugus State Police 


472 


476 


2 


2 


4 


13 


200 


223 


28 




Cayuga 


422 


433 






2 


44 


147 


208 


21 




Cayuga State Police ......... 


403 


407 




3 


2 


34 


105 


245 


14 




Chautauqua 


790 


809 




9 


5 


9 


226 


519 


22 




Chautauqua State Police 


378 


380 




1 


1 


19 


135 


216 


6 




Chenango 


261 


272 




2 




26 


86 


141 


6 






254 


256 




2 




10 


112 


120 


9 




Clinton 


25 
985 


25 
989 


" 


2 


1 




3 

245 


17 
531 


17 




Clinton State Police 




Delaware 


98 

487 


101 
491 


3 




7 


2 

14 


40 
283 


55 
176 


J 




Delaware State Police 




Franklin State Police 


396 


410 




2 


4 


31 


139 


218 


2 




Fulton 


437 


437 


1 


3 


1 


3 


138 


264 


27 




Fulton State Police 


149 


151 




1 




12 


49 


82 


5 




Genesee 


528 


540 




2 




1 


180 


340 


5 




Genesee State Police 


145 


146 




1 


2 


7 


54 


75 


6 




Jefferson 


380 


413 






2 


4 


149 


222 


3 




Jefferson State Police 


517 


518 


1 


2 


3 


10 


216 


272 


13 




Otsego State Police 


590 


592 




1 




14 


151 


416 


8 




Saint Lawrence 


728 


735 




9 


3 


71 


186 


446 


13 




Saint Lawrence State Police 


608 


616 




1 


2 


44 


221 


328 


12 




Sullivan 


531 




1 


6 


9 


65 


188 


228 


34 




Sullivan State Police 


940 




3 


5 


4 


59 


392 


425 


52 




Tompkins 


791 


794 




1 


6 


12 


265 


493 


14 




Tompkins State Police 


423 


424 




1 


6 


18 


137 


255 


6 




Wyoming 


413 


414 








14 




191 


19 




Wyoming State Police 


202 


206 


1 


2 




104 


53 


40 






NORTH CAROLINA 






















Beaufort 


560 


570 


1 


7 


2 


20 


239 


271 


20 




Brunswick 


254 


254 


1 




3 


20 


84 


129 


13 




Caldwell 


1.214 


1.226 


7 


8 




83 


527 


523 


54 




Carteret 


519 


519 


2 


2 


1 


11 


63 


413 


27 




Chatham 


608 


611 


4 


4 


2 


54 


270 


248 


26 




Cleveland 


1.269 


1.272 


5 


4 


7 


48 


500 


632 


73 





Me 9. — Number of Offenses Known to the Police, Rural Counties 25,000 and over in Population, 1986 — Continued 



NORTH CAROLINA— Continued 

ilumbus 

aven 

iphn 



mderson 
dell 
:kson 
hnston 



ish 

chmond 

Kkingham 

itherford 

mpson 

inly 

rry 

jyne 

likes 



NORTH DAKOTA 



htabulj 

>lunihi.in.i 

ishocton 



uskingum 
eble 



OREGON 

schutes 

jSchutes State Police 

iuglas 

■uglas Slate Police 

rephine 

lephine State Police 

imath 

limath State Police 

Ira State Police 

PENNSYLVANIA 

Mistrong State Police 
llford State Police 
Sidford State Police 
iler State Police 






Murder 
d non- 
legligent 

laughter 



Forcible 



Aggra- 
vated 

,t^s;iull 



Motor 
theft 



137 



Table 9. — Number of Offenses Known to the Police, Rural Counties 25,000 and over in Population, 1986 — Continued 



County by State 


Crime 
Index 

total 


Modified* 

Index 

total 


Murder 
and non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
assault 


Burglary 


theft 


theft 


*. 


PENNSYLVANIA— Continued 






















Clarion State Police 


594 


607 


2 


6 


2 


9 


257 


284 


34 




Clearfield 


3 

577 


3 
594 






1 


19 




2 

247 


30 




Clearfield State Police 


4 


276 




Crawford State Police 


862 


880 


4 


13 




19 


369 


397 


56 




Greene State Police 


390 


402 




1 


3 


6 


151 


179 


50 




Huntingdon State Police 


495 


500 


1 


6 


3 


10 


211 


241 


23 




Indiana State Police 


746 


758 


1 


16 


11 


41 


293 


327 


57 




Jefferson State Police 


267 


273 


2 


3 




7 


111 


120 


24 




Lawrence State Police 


736 


766 


2 


4 


3 


24 


336 


316 


51 




Northumberland State Police 


299 


306 


2 


7 


1 


6 


105 


167 


11 




Schuylkill State Police 


822 


838 


2 


7 


5 


67 


346 


350 


45 




Snyder State Police 


275 


275 




5 




1 


106 


148 


15 




Susquehanna State Police 


382 


390 


1 


3 


2 


15 


204 


119 


38 




Tioga State Police 


343 


349 




3 


3 


10 


192 


112 


23 




Venango State Police 


589 


598 




4 


5 


5 


271 


259 


45 






58 


58 








1 


24 


31 


2 




Warren State Police 


415 


426 


2 


4 




7 


210 


170 


22 




Wayne State Police 


566 


574 


1 


3 


10 


22 


317 


177 


36 




SOUTH CAROLINA 






















Beaufort 


3,871 


3,890 


4 


30 


25 


386 


1,008 


2,251 


167 




Cherokee 


649 


673 




9 


6 


66 


262 


240 


66 




Chesterfield 


515 


530 


7 




5 


62 


196 


201 


37 




Colleton 


810 


833 


3 




14 


94 


277 


361 


54 




Darlington 


1,619 


1,649 


3 


16 


17 


246 


583 


642 


112 




Georgetown 


815 


829 


2 




6 


66 


297 


394 


43 




Greenwood 


1.210 


1,216 


4 




8 


126 


279 


705 


79 




Horry Police Department 


4,212 


4,224 


8 


23 


45 


303 


1,255 


2,286 


292 




Kershaw 


917 


919 


1 




10 


80 


321 


449 


54 




Lancaster 


1,321 


1,332 


3 


19 


12 


200 


357 


662 


68 




Laurens 


824 


829 


1 


3 


10 


77 


386 


314 


33 




Oconee 


813 


816 


3 


6 


5 


77 


248 


443 


31 




Orangeburg 


3,083 


3,113 


8 


36 


64 


580 


1,129 


1,118 


148 




Sumter 


2,177 


2,108 


6 


28 


24 


343 


686 


977 


113 




Williamsburg 


459 


466 


1 


9 


13 


78 


180 


158 


20 




TENNESSEE 






















Bradley 


552 


553 


! 


2 


9 


22 


157 


282 


79 




Greene 


513 


525 


4 


3 


6 


52 


247 


155 


46 




Hamblen 


478 


479 


3 


5 


8 


15 


116 


272 


59 




McMinn 


371 




1 


1 


1 


26 


158 


176 


8 






585 




3 


16 


1 


55 


215 


248 


47 




TEXAS 






















Anderson 


532 


535 


2 


2 


5 


66 


202 


228 


27 




Angelina 


581 


585 






1 


13 


204 


311 


48 






307 


308 


1 






26 


139 


127 


14 




Henderson 


866 


873 


6 


2 


5 


59 


471 


278 


45 




Hunt 


764 


764 


1 


8 


3 


75 


370 


242 


65 




Rusk 


589 


589 


2 








344 


188 


55 




Starr 


478 


489 


3 


3 


6 


23 


192 


213 


38 




Van Zandt 


792 




1 


1 


6 


30 


337 


351 


66 




UTAH 






















Cache 


499 


500 




3 




7 


105 


364 


20 




VIRGINIA 






















Accomack 


515 


524 




2 


5 


19 


267 


209 


13 




Accomack State Police 


52 


56 


1 


1 


1 


4 


16 


21 


8 




Augusta 


847 


847 


2 






28 


196 


559 


54 




Augusta State Police 


31 


34 




1 




6 




21 


3 




Bedford 


435 


454 


1 


8 


1 


20 


146 


246 


13 




Bedford State Police 


8 


8 








3 


1 


4 






Buchanan 


216 


217 


2 






29 


54 


105 


26 





fable 9. — Number of Offenses Known to the Police, Rural Counties 25,000 and over in Population, 1986 — Continued 



County by State 


Crime 
Index 

total 


Modified* 
total 


Murder 
negligent 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


vehicle 
theft 


Arson* 


VIRGINIA— Continued 






















luchanan State Police 


73 


74 




3 




8 


25 


22 


15 


1 


Carroll 


197 


201 


1 


5 


1 


7 


91 


83 


9 


4 


^rroll State Police 


14 


15 








2 


I 


8 


3 


1 


"auquier State Police 


353 


353 


1 


4 


8 


19 


120 


176 


25 




48 


50 


1 






6 


13 


24 




2 


'ranklin 


490 


494 


3 


3 




12 


176 


255 


41 


4 


"ranklm State Police 


5 


6 










1 


3 


1 


1 


~redenck 


788 


791 


1 


7 


9 


34 


179 


515 


43 


3 


"rederick State Police 


28 


31 








12 


5 


9 


2 


3 


lalifax 


261 


265 


3 




1 


20 


81 


146 


10 


4 


lalifax State Police 


48 


48 






1 


8 


10 


25 


4 




lenry 


1.194 


1,205 


7 


10 


8 


47 


404 


641 


77 


11 


lenry State Police 


24 


24 








3 


2 


11 


8 




tockingham 


320 


322 


3 


5 


2 


13 


90 


200 


7 


2 


lockingham State Police 


28 


32 






1 


12 


1 


6 


8 


4 


lussell 


14 


16 




1 




1 
5 


69 
1 


58 
5 


20 
3 




tussell State Police 


2 


potsylvania 


1,367 


1,368 




5 


17 


27 


226 


1.018 


74 


1 


potsylvania State Police - 


35 


35 








5 




24 


6 




'azewell 


307 


307 




4 


5 


64 


69 


153 


12 




razewell State Police 


38 


40 












19 


7 


2 


Vise 


310 


320 


1 


8 


5 


21 


104 


152 


19 


10 


Vise Stale Police 


25 


25 






1 


4 


4 


8 


8 




WASHINGTON 






















:helan 


1,333 


1,340 


, 


13 


11 


44 


360 


833 


71 


7 


riallam 


777 
930 


777 
938 


' 


17 
16 


3 
7 


24 
22 


211 
453 


477 
404 


44 
28 




Cowlitz 


8 


jrays Harbor 


990 


990 


2 


7 


3 


31 


362 


547 


38 




sland 


445 


446 




1 


1 


10 


161 


260 


12 


1 


.ewis 


1,073 


1.077 


2 


11 


3 


53 


460 


489 


55 


4 


kagit 


1,292 


1,292 


1 


13 


15 


58 


470 


692 


43 




WEST VIRGINIA 






















ierkeley 


891 


900 


3 


5 


7 


20 


275 


563 


18 


9 


Ierkeley State Police 


425 


427 




3 


9 


6 


255 


115 


37 


2 


oone 


203 




1 


1 


4 


6 


60 


87 


44 




ioone State Police 


73 


75 


4 


2 


1 


2 


22 


13 


29 


2 


"ayette 


370 




2 


10 


1 


136 


120 


84 


17 




"ayette State Police 


134 


135 


2 


3 


3 


5 


48 


56 


17 




Earnson 


260 


262 


1 


10 


3 


15 


74 


129 


28 




larnson State Police 


152 


155 


3 


2 


1 


10 


79 


35 


22 




.ogan 


170 


174 


2 




2 


1 


76 


63 


26 




,ogan State Police 


547 


562 


4 




4 


11 


171 


204 


153 


15 


McDowell 


102 


104 






4 


39 


21 


38 






McDowell State Police 


153 


155 


2 


6 


6 


17 


84 


19 


19 




Marion 


211 






1 


1 


5 


71 


108 


25 




Marion State Police 


158 






1 


1 


5 


45 


76 


30 




Mercer 


436 




I 




1 


114 


169 


102 


49 




Mercer State Police 


184 




3 




4 


4 


97 


44 


32 




Mingo 


70 








3 




15 


35 


17 




Mingo State Police 


168 


182 


1 




3 


23 


49 


35 


57 


14 


Monongalia 


253 


257 






5 


I 


71 


172 






Monongalia State Police 


398 


402 


2 


8 


5 


5 


138 




72 


4 


laleigh 


895 




7 




6 


54 


249 


514 


61 




laleigh State Police 


248 


248 










76 


122 


49 




Vyoming 


225 








2 


15 


82 


93 


33 




Wyoming State Police 


107 


110 




1 


1 


6 


46 


29 


24 


3 


WISCONSIN 






















:iark 


531 


532 




t 




8 


142 


352 


28 




lodge 


378 


379 


1 


1 


1 


16 


95 


242 


22 




bnd du Lac 


373 


375 






2 


12 


105 


235 


19 




fanitowoc 


428 


431 








31 


136 


231 


29 




lannette 


678 


682 




1 




9 


341 


298 


29 




oik 


671 


675 




1 


3 


18 


281 


328 


40 





Table 9. — Number of Offenses Known to the Police, Rural Counties 25,000 and over in Population, 1986 — Continued 



County by Stale 


Index 

total 


Modified* 
total 


Murder 
and non- 
negligent 

slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 


Burglary 


theft 


Motor 
theft 


*- 


WISCONSIN— Continued 

Sauk 


593 
258 
457 
310 
587 
653 
488 

6,369 

21 

241 

9,218 

104 

52 

2,158 

5,227 

33 

3,424 


596 
258 
457 
310 
587 
661 
489 

21 

9,313 

104 

63 

2,191 

33 
3.461 


2 


6 




27 
2 
8 

2 
21 
3 

621 
21 

826 
8 

11 
465 
209 

33 

101 


201 
36 
140 
83 
171 
228 
177 

1,928 

3,432 

2 

9 

750 

1,844 

839 


334 
205 
278 
209 
376 
359 
286 

3.071 

4,073 
75 
28 
702 

2,810 

2,038 


30 
7 
30 
18 
36 
43 
19 

578 

241 
692 
18 
3 
172 
279 

271 






2 
3 

42 

107 
1 

24 
22 

60 




Walworth 
Waupaca 




19 
9 

18 

7 






STATE AGENCIES 

Alaska State Police 

Arizona Department of Public Safety 
Colorado State Patrol 
Connecticut State Police 


110 

79 

1 

27 
56 

106 




Nebraska State Patrol 












OTHER AREAS 





i 10. — Crime Trends, Offenses Known to the Police, Population Group, 1985-1986 

estimated population] 



Population group 


z:: 


Modified 


33 


Property 


negligent 


■Tcf 


Robbery 


Aggra- 


Burglary 


■s> 


J££ 


W 


)TAL ALL AGENCIES: 


























315 agencies; 


























imputation 229,048.000: 


























1985 


11,998,382 


12,100,212 


1,287,512 


10,710,870 


18,352 


81,505 


491,574 


696,081 


2,960,091 


6.680,810 


1,069,969 


101,830 


1986 


12,766,492 


12,874,236 


1,442,363 


11,324,129 


19,966 


84,279 


535,929 


802,189 


3,124,672 
+5.6 


7,008,229 


1,191,228 


107,744 


Percent change 


+6.4 


+6.4 


+12.0 


+5.7 


+8.8 


+3.4 


+9.0 


+ 15.2 


+4.9 


+11.3 


+5.8 


TAL CITIES: 9,049 cities; 


























population 153,827,000: 


























1985 


9,772,502 


9,851,601 


1,077,676 


8,694,826 


14,077 


63,104 


448,501 


551,994 


2,282,344 


5,505,443 

5,779,534 


907,039 


79,099 


1986 


10,410.121 


10,493,926 


1,211,460 


9,198,661 


15,714 


64,903 


487,618 


643,225 


2,406,585 


1,012,542 


83,805 


Percent change 


+6.5 


+6.5 


+ 12.4 


+5.8 


+11.6 


+2.9 


+8.7 


+ 16.5 


+5.4 


+5.0 


+ 11.6 


+5.9 


Group I 


























cities. 250,000 and over; 


























Mpulation 44,077.000: 


























1985 


3,911,416 


3,947,822 


601.557 


3,309,859 


8,363 


31,897 


304.265 


257.032 


929,473 


1,885,935 


494.451 


36,406 


1986 


4,195,880 


4.235,955 


672.481 


3,523,399 


9,449 


31,928 


328,307 


302.797 


982,882 


1,986,845 


553,672 


40,075 


Percent change 


+7.3 


+ 7.3 


+ 11.8 


+6.5 


+ 13.0 


+0.1 


+7.9 


+ 17.8 


+5.7 


+ 5.4 


+ 12.0 


+ 10.1 


ities, 1.000,000 and over; 


























wpulation 19,993,000: 


























1985 


1,758,259 


1.776.421 


323.826 


1.434.433 


4.589 


11,992 


179,214 


128,031 


388,881 


767.229 


278,323 


18,162 


1986 


1.866,678 


1,887,303 


367.677 


1,499,001 


5,008 


11,473 


191.943 


159,253 


402,772 


796,900 


299,329 


20,625 


Percent change 


+6.2 


+6.2 


+ 13.5 


+4.5 


+9.1 


-4.3 


+7,1 


+24.4 


+3.6 


+ 3.9 


+7.5 


+ 13.6 


cities, 500.000 to 999.999; 


























xipulatton 10.683.000: 


























1985 


894,078 


901,670 


114.795 


779,283 


1,660 


8,554 


55,994 


48,587 


216,488 


462,379 


100,416 


7,592 


1986 


959,955 


967,983 


122,206 


837,749 


1,926 


8,666 


59,450 


52.164 


231,065 


491,397 


115,287 


8,028 


Percent change 


+7.4 


+7,4 


+6.5 


+7.5 


+ 16.0 


+ 1.3 


+6.2 


+7.4 


+6.7 


+6.3 


+ 14.8 


+5.7 


cities, 250,000 to 499,999; 


























jopulation 13,401,000: 


























1985 


1,259,079 


1,269,731 


162,936 


1,096.143 


2,114 


11.351 


69,057 


80,414 


324.104 


656,327 


115,712 


10,652 


1986 


1,369,247 


1,380,669 


182,598 


1,186,649 


2,515 


11,789 


76,914 


91,380 


349,045 


698,548 


139,056 


11,422 


Percent change 


+8.7 


+8.7 


+ 12.1 


+8.3 


+ 19.0 


+3.9 


+ 11.4 


+ 13.6 


+7.7 


+6.4 


+20.2 


+7.2 


Group II 


























cities, 100,000 to 249,999; 


























jopulation 18,257.000: 


























1985 


1,396,609 


1,408,655 


141,758 


1.254,851 


1,837 


9.290 


53.087 


77,544 


344,219 


805,071 


105,561 


12,046 


1986 


1,487,811 


1,500,652 


158,813 


1,328,998 


2,068 


9,602 


58.227 


88,916 


368,545 


842,904 


117,549 


12.841 


Percent change 


+6.5 


+6.5 


+ 12.0 


+5.9 


+ 12.6 


+3.4 


+9.7 


+ 14.7 


+7.1 


+4.7 


+ 11.4 


+6.6 


Group III 


























cities, 50,000 to 99,999; 


























wpulation 20,701,000: 


























1985 


1,230,323 


1,239,881 


109,381 


1,120,942 


1,217 


7,392 


38.108 


62,664 


297,904 


716,577 


106,461 


9.558 


1986 


1,307,254 


1,316,834 


127,544 


1,179,710 


1.302 


8,030 


42,319 


75,893 


309,648 


749,197 


120,865 


9,580 


Percent change 


+6.3 


+6.2 


+ 16.6 


+ 5.2 


+7.0 


+ 8.6 


+ 11.1 


+21.1 


+3.9 


+4.6 


+ 13.5 


+0.2 


Group IV 


























cities, 25,000 to 49,999; 


























jopulation 22,630,000: 


























1985 


1,216,021 


1.224,163 


92.033 


1,123,988 


1,005 


6.169 


27.164 


57,695 


277,135 


762,249 


84,604 


8.142 


1986 


1,292,913 


1,301,077 


105,636 


1,187,277 


1.138 


6.652 


29.894 


67,952 


292,222 


800,615 


94,440 


8,164 


Percent change 


+6.3 


+6.3 


+ 14.8 


+ 5.6 


+ 13.2 


+7.8 


+ 10.1 


+ 17.8 


+5.4 


+5.0 


+ 11.6 


+0.3 



141 



Table 10. — Crime Trends, Offenses Known to the Police, Population Group, 1985-1986 — Continued 



Population group 


Er 


Modified 
total 1 


Violent 


Property 


Murder 
negligent 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 


Burglary 


■ST 


vehicle 
theft 


Arso 


Group V 


























1,614 cities, 10,000 to 24,999; 


























population 25,382,000: 


























1985 


1,119,615 


1,126,639 


74,980 


1,044,635 


902 


4,817 


17.185 


52.076 


246,506 


728,686 


69,443 


7 


1986 


1,180,902 


1,187,976 


83,471 


1,097,431 


969 


5,152 


19.111 


58,239 


256,712 


764,596 


76,123 


7 


Percent change 


+ 5.5 


+ 5.4 


+ 11.3 


+ 5.1 


+ 7.4 


+7.0 


+ 11.2 


+ 11.8 


+4.1 


+4.9 


+9.6 




Group VI 


























6,292 cities under 10,000; 


























population 22,780,000: 


























1985 


898,518 


904.441 


57,967 


840,551 


753 


3,539 


8.692 


44,983 


187,107 


606,925 


46,519 


5 


1986 


945.361 


951,432 


63,515 


881,846 


788 


3,539 


9.760 


49,428 


196,576 


635,377 


49,893 


6 


Percent change 


+ 5.2 


+5.2 


+9.6 


+4.9 


+4.6 




+ 12.3 


+9.9 


+ 5.1 


+4.7 


+7.3 




Suburban Counties 


























1,312 agencies; population 


























45,744.000: 


























1985 


1.680.493 


1,697,670 


159,629 


1,520,864 


2,661 


13,067 


38,796 


105.105 


488,080 


900,953 


131,831 


17 


1986 


1,789,289 


1,807,232 


177,763 


1,611,526 


2.708 


13,895 


43.804 


117.356 


518,887 


947,020 


145,619 


17 


Percent change 


+6.5 


+6.5 


+ 11.4 


+6.0 


+ 1.8 


+6.3 


+ 12.9 


+ 11.7 


+6.3 


+ 5.1 


+ 10.5 




Rural Counties 4 


























2,954 agencies; population 


























29,477,000: 


























1985 


545,387 


550,941 


50,207 


495,180 


1,614 


5,334 


4.277 


38,982 


189,667 


274,414 


31.099 


5 


1986 


567,082 


573.078 


53,140 


513,942 


1,544 


5,481 


4.507 


41,608 


199,200 


281,675 


33,067 


5 


Percent change 


+4.0 


+4.0 


+5.8 


+3.8 


-4.3 


+2.8 


+5.4 


+6.7 


+ 5.0 


+2.6 


+6.3 




Suburban Area 5 


























6,247 agencies; population 


























92,897,000: 


























1985 


3,789,366 


3,821,064 


304,653 


3,484,713 


4,173 


22,260 


78.589 


199,631 


951,922 


2,249,691 


283,100 


31 


1986 


4,018,006 


4,050,222 


340,252 


3,677,754 


4,362 


23,595 


87,440 


224,855 


1,003,825 


2,361,030 


312,899 


32 


Percent change 


+6.0 


+6.0 


+ 11.7 


+5.5 


+4.5 


+6.0 


+ 11.3 


+ 12.6 


+5.5 


+4.9 


+ 10.5 









'The number of agency reports used in arson trends is less than used in compiling trends for other Cnme Index offenses However, the number of agencies used in the arsoi 
column of this table is greater than the number used in the tables on pages 37-39, since it is not necessary to report arsons by property classification to be included in this tabli 
The Modified Crime Index total is the sum of the Crime Index offenses, including arson. 

2 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 cnme 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 group; 

Forcible rape figures furnished by the state-level Uniform Crime Reporting (VCR) Program administered by the Illinois Department of State Police were not in accordance w 
national UCR guidelines and were excluded from the Forcible rape, Violent crime, Cnme Index total, and Modified Cnme Index total categories. 



Table 11. — Crime Trends, Offenses Known to the Police, Suburban and Nonsuburban Cities 1 , Population Group, 1985-1986 

[1986 estimated population] 



Population group 


Crime 


Modified 


Violent 


W 


Murder 
negligent 
slaughter 


Forcible 


Robbery 


Aggra- 


Burglary 


theft 


Motor 


AW 


Suburban Cities 


























TOTAL SUBURBAN CITIES: 


























4.935 cities; 


























population 47,153,000: 


























1985 


2,108,873 


2,123,394 


145,024 


1,963,849 


1,512 


9,193 


39,793 


94,526 


463,842 


1,348,738 


151,269 


14,521 


1986 


2,228,717 


2,242,990 


162,489 


2,066,228 


1,654 


9,700 


43,636 


107,499 


484,938 


1,414,010 


167,280 


14,273 


Percent change 


+5.7 


+5.6 


+12.0 


+5.2 


+9.4 


+5.5 


+9.7 


+13.7 


+4.5 


+4.8 


+10.6 


-1.7 


Group IV 


























474 cities, 25,000 to 49.999; 


























population 16.348,000: 


























1985 


823,242 


829,008 


63,542 


759,700 


606 


4,072 


20,434 


38,430 


188,825 


504,726 


66,149 


5,766 


1986 


874,208 


879,909 


71,988 


802,220 


713 


4,339 


22,176 


44,760 


197,461 


530,807 


73,952 


5,701 


Percent change 


+6.2 


+6.1 


+ 13.3 


+5.6 


+ 17.7 


+6.6 


+8.5 


+ 16.5 


+4.6 


+5.2 


+ 11.8 


-1.1 


Group V 


























1,137 cities. 10,000 to 24,999; 


























population 18.102,000: 


























1985 


745,796 


750,906 


49.390 


696,406 


532 


3,136 


13,141 


32,581 


166,119 


476,359 


53,928 


5,110 


1986 


785,415 


790,303 


54,831 


730,584 


565 


3,285 


14,484 


36,497 


172,422 


498,695 


59,467 


4,888 




Percent change 


+5.3 


+5.2 


+ 11.0 


+4.9 


+6.2 


+4.8 


+ 10.2 


+ 12.0 


+3.8 


+4.7 


+ 10.3 


-4.3 


Group VI 


























3,324 cities under 10,000; 


























population 12,703.000: 


























1985 


539,835 


543,480 


32,092 


507,743 


374 


1,985 


6,218 


23,515 


108,898 


367,653 


31,192 


3,645 


1986 


569,094 


572,778 


35,670 


533,424 

+5.1 


376 




6,976 

+ 12.2 


26,242 
+ 11.6 


115,055 

+5.7 


384,508 
+4.6 


33,861 
+8.6 


3,684 
+ 1.1 


Percent change 


+5.4 


+5.4 




+.5 


+4.6 


Nonsuburban Cities 


























TOTAL NONSUBURBAN 


























CITIES: 3,625 cities; 


























population 23,639,000: 


























1985 


1,125,281 


1,131,849 


79,956 


1,045,325 
1,100,326 


1,148 
1,241 
+8.1 


5,332 


13,248 
15,129 
+ 14.2 


60,228 
68,120 
+13.1 


246,906 

260,572 

+5.5 


749,122 

786,578 

+5.0 


49,297 

53,176 

+7.9 


6,568 
7,036 
+7.1 


1986 


1,190.459 


1,197,495 


90,133 


5^643 
+5.8 


Percent change 


+5.8 


+5.8 


+ 12.7 


+5.3 




Group IV 


























180 cities. 25,000 to 49,999; 


























population 6,281,000: 


























1985 


392,779 


395,155 


28,491 


364,288 


399 


2,097 


6,730 


19,265 


88,310 


257,523 


18,455 


2,376 


1986 


418,705 


421,168 


33,648 


385,057 


425 


2,313 


7,718 


23,192 


94,761 


269.808 


20,488 


2,463 


Percent change 


+6.6 


+6.6 


+ 18.1 


+ 5.7 


+6.5 


+ 10.3 


+ 14.7 


+20.4 


+7.3 


+4.8 


+ 11.0 


+ 3.7 


Group V 


























*77 cities, 10,000 to 24,999; 


























population 7,281.000: 


























1985 


373,819 


375,733 


25,590 


348,229 


370 


1,681 


4,044 


19,495 


80,387 


252,327 


15,515 


1,914 


1986 


395,487 


397,673 


28,640 


366,847 


404 


1,867 


4,627 


21,742 


84,290 


265,901 


16,656 


2,186 


Percent change 


+5.8 


+5.8 


+ 11.9 


+ 5.3 


+9.2 


+ 11.1 


+ 14.4 


+ 11.5 


+4.9 


+5.4 


+7.4 


+ 14.2 


Group VI 


























2,968 cities under 10,000; 


























population 10,077,000: 


























1985 


358,683 


360,961 


25.875 


332,808 


379 


1.554 


2.474 


21,468 


78,209 


239,272 


15,327 


2,278 


1986 


376,267 


378,654 


27,845 


348,422 


412 


1,463 


2,784 


23,186 


81,521 


250,869 


16,032 


2,387 


Percent change 


+4.9 


+4.9 


+7.6 


+4.7 


+8.7 


-5.9 


+ 12.5 


+8.0 


+4.2 


+4.8 


+4.6 


+4.8 



Suburban places are within Metropolitan Statistical Areas (MSAs) and include suburban city and county law enforcement agencies within the metropolit 
ire excluded Nonsuburban places are outside MSAs. 

: The number of agencies used in arson trends is less than used in compiling trends for other Cnme Index offenses. The Modified Crime Index total is I 
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 Cnme Reporting (UCR) Program administered by the Illinois Department of State Police were 
lational UCR guidelines and were excluded from the Forcible rape, Violent crime, Crime Index total, and Modified Cnme Index total categories. 



. Central cities 
of the Crime 



Table 12. — Crime Trends, Offenses Known to the Police, Suburban and Nonsuburban Counties, Population Group, 1985-1986 

[1986 estimated population] 



Population group 


£f 


Modified 

Crime 


r» 


Property 


Murder 
negligent 
slaughter 


Forcible 


Robbery 


Aggra- 


Burglary 


W 


Se 


ArW 


Suburban Counties 4 


























100,000 and over 


























106 counties; population 
26.328,000: 

1985 


1,164,399 
1,248,721 

+7.2 


1,176.242 

1,260,881 

+7.2 


1 10,825 
125,285 
+ 13.0 


1,053,574 
1,123,436 


1.641 
1.691 
+3.0 


8,024 
8,613 

+7,3 


32,143 
36,826 
+ 14.6 


69,017 
78,155 
+ 13.2 


328,045 

349,993 

+6.7 


630,960 

666,502 

+5.6 


94,569 
106.941 
+ 13.1 


11,8 




+2 


25,000 to 99,999 


























335 counties; population 
16,657,000: 

1985 

1986 

Percent change 


386,010 
408,039 

+ 5.7 


389,534 

411,900 

+5.7 


33,963 

37,333 

+9.9 


352,047 

370,706 

+5.3 


764 
750 
-1.8 


3,311 
3,629 


4,242 
4,713 
+ 11.1 


25,646 
28.241 
+ 10.1 


124.605 

132,585 

+6.4 


203,967 
213.652 

+4.7 


23,475 
24.469 


3,5 
3.8 

+9 


Under 25,000 


























871 counties; population 
2,760.000: 
1985 
1986 
Percent change 


130,084 

132,529 

+ 1.9 


131,894 
134,451 


14.841 
15,145 
+2.0 


115.243 

117.384 

+1.9 


256 

267 
+4.3 


1,732 
1,653 
-4.6 


2,411 
2,265 
-6.1 


10,442 
10,960 
+ 5.0 


35,430 

36,309 

+2.5 


66.026 
66.866 

+ 1.3 


13,787 
14.209 
+3.1 


1.8 
1.9 
+6 


Nonsuburban Counties 4 


























25,000 and over 


























302 counties; population 
11.768,000: 

1985 

1986 

Percent change 


216.622 
228,607 

+5.5 


218,585 

230,679 

+5.5 


19,636 

21,560 

+9.8 


196.986 
207,047 

+ 5.1 


513 

565 

+ 10.1 


1,985 
2,181 
+9.9 


1,896 
2,024 
+6.8 


15,242 
16,790 
+ 10.2 


73,463 

78,583 

+7.0 


112.359 

116,163 

+3.4 


11,164 
12,301 
+ 10.2 


1.9 
2,0 

+5 


10,000 to 24,999 


























774 counties; population 
12.148,000: 
1985 


172.224 

180,259 

+4.7 


181,823 

+4.7 


14,761 
15,556 
+5.4 


157,463 
164.703 


531 
484 
-8.9 


1.373 
1,310 
-4.6 


1,193 
1,201 
+.7 


11,664 

12,561 
+7.7 


62.463 

65,874 

+5.5 


85,832 

89,123 

+3.8 


9.168 
9,706 
+5.9 


1,3 


Percent change 


+ 1 


Under 10,000 


























1,783 counties; population 
5,164,000: 
1985 


134,412 
134,715 

+.2 


136,475 
136,936 

+.3 


13,334 

13,326 

-.1 


121,078 

121.389 

+ .3 


509 
-13.2 


1,723 

1,712 

-.6 


990 
1.088 
+9.9 


10,112 
10,084 

-.3 


46.314 

46,744 

+.9 


65,853 

65,585 

-.4 


8,911 
9,060 
+ 1.7 


2,0 











The number of agencies used in arson trends are less than used in compiling trends for other Cnme Index offenses. The Modified Crime Index total is the 
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 cnme of arson. 

4 Crime offenses include sheriffs' and county law enforcement agencies. State police offenses are not included. 

Forcible rape figures furnished by the state-level Uniform Cnme Reporting (UCR) Program administered by the Illinois Department of State Police were not 
national UCR guidelines and were excluded from the Forcible rape, Violent cnme, Cnme Index total, and Modified Crime Index total categories, 



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146 



able 14. — Crime Rates, Offenses Known to the Police, Population Group, 1986 

986 estimated population. Rate: Number of crimes per 100,000 inhabitants] 
Modified 
Index 



DTAL ALL AGENCIES: 

1,297 agencies; 
population 219,372,000: 

Number of offenses known . 

Rate 

3TAL CITIES: 8,298 cities; 
population 148,773,000: 

Number of offenses known . 

Rate 

Group I 

cities, 250,000 and over; 
population 44,077,000: 
Number of offenses known 
Rate 

cities, 1,000,000 and over; 

population 19,993,000: 
Number of offenses known 
Rate 

i cities, 500,000 to 999,999; 

population 10,683,000: 
Number of offenses known 
Rate 

cities, 250,000 to 499,999; 
population 13.401,000: 
Number of offenses known 
Rate 

Group II 

6 cities, 100,000 to 249,999; 
population 18,385,000: 

Number of offenses known . 
Rate 

Group III 

7 cities, 50,000 to 99,999; 
population 19,613,000: 

Number of offenses known 
Rate 



147 



Table 14. — Crime Rates, Offenses Known to the Police, Population Group, 1986 — Continued 



Population group 


3f 


Modified 


» 


Property 


Murder 
negligent 


Forcible 


— 


Aggra- 


Burglary 


theft 


S£ 


ArW 


Group IV 


























631 cities, 25,000 lo 49,999; 
population 21,853,000: 
Number of offenses known 


1,273,725 
6,293.1 




103,750 
512.6 


1,169,975 
5.353.9 


1,110 
5.1 


6,515 
32.2 


29,561 
135.3 


66.564 
304.6 


288,596 
1.320.6 


788,338 
3,607.5 


93,041 
425.8 




Group V 


























1,531 cities, 10.000 to 24,999; 
population 24.054,000: 
Number of offenses known 
Rate 


1,138,660 
5,103.1 




80,203 
359.4 


1,058,457 
4,400.3 


944 
3.9 


4,958 
22.2 


18,444 
76.7 


55,857 
232.2 


248,351 

1.032.5 


736.164 
3.060.5 


73,942 
307.4 




Group VI 


























5,662 cities under 10,000; 
population 20,791,000: 

Number of offenses known 

Rate 


895,232 
4,588.0 




59,670 
305.8 


835,562 

4,018.9 


733 
3.5 


3,275 


9,142 
44.0 


46,520 
223.8 


186,264 

895.9 


602,657 

2,898.7 


46,641 
224.3 




Suburban Counties 


























1,255 agencies; population 
43,160,000: 

Number of offenses known 

Rate 


1,713,172 
4,092.6 




171.573 
409.9 


1,541,599 
3,571.8 


2,632 
6.1 


13,420 
32.1 


41,741 
96.7 


113,780 
263.6 


499,011 
1,156.2 


903,044 
2.092.3 


139,544 
323.3 




Rural Counties' 1 


























2,744 agencies; population 
27,439,000: 
Number of offenses known 


542,407 
2,053.6 




50,935 
192.8 


491,472 
1,791.1 


1,473 
5.4 


5,300 
20.1 


4,274 
15.6 


39,888 
145.4 


191,433 
697.7 


268,464 
978.4 


31.575 
115.1 




Suburban Area 5 




5,739 agencies; population 
87.460,000: 
Number of offenses known 


3,873,314 
4,683.6 




328,579 
397.3 


3,544,735 
4,053.0 


4,241 
4.8 


22,790 
27.6 


84,339 
96.4 


217,209 
248.4 


969,967 
1,109.0 


2,272,375 
2,598.2 


302.393 
345.8 









than for other 



Crime Index offenses Independently tabulated 



Arson rates are not presented in this table because fewer agencies furnished complete reports for 
arson rates appear on page 37 of this publication. 

■Violent cnmes are offenses of murder, forcible rape, robbery, and aggravated assault. 

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

^Includes state police agencies with no county breakdown. 

■Includes suburban ctty and county law enforcement agencies within metropolitan areas. Excludes central cities. Suburban cities and counties ; 
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 
national UCR guidelines and were excluded from the Forcible rape. Violent crime, and Cnme Index total categories. The rates for these categories were calculated excluding the 
for the state of Illinois. 



also included 






148 



'able 15. — Crime Rates, Offenses Known to the Police, Suburban and Nonsuburban Cities', Population Group, 1986 

1986 estimated population. Rale: Number of crimes per 100,000 inhabitants] 



Suburban Cities 

OTAL SUBURBAN CITIES: 

484 cities; population 
44,300,000: 

Number of offenses known . 

Rate 



I cities, 25.000 to 49,999; 

population 15,774,000: 
Number of offenses known 
Rate 



)73 cities. 10.000 to 24.999; 

population 17.065,000: 

Number of offenses known 
Rate 



154 cities under 10,000 
population 11,461,000: 



Nonsuburban Cities 

)TAL NONSUBURBAN 
CITIES: 3,340 cities; 
population 22,398,000: 

Number of offenses known . 

Rate 



Group IV 

I cities, 25.000 to 49,999; 
wpulation 6.079.000: 
Number of offenses known 

Rate 



1 cities, 10.000 to 24.999; 
(opulation 6,989,000: 

Number of offenses known 

Rate 



38 cities under 10,000; 
lopulation 9,330.000: 

Number of offenses known . 

Rate 



negligent 



14.9 



27 7 






XII 



:y law enforcement agencies within the metropolitan area- Central cities 
than for the other seven Crime Index offenses. Independently tabulated 



Suburban places are within Metropolitan Statistical Areas (MSAs) and include suburban city and 
excluded. Nonsuburban places are outside MSAs. 

Arson rates are not presented in this table because fewer agencies furnished complete reports for : 
)n rates appear on page 37 of this publication. 
Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 
"Properly cnmes are offenses of burglary, larceny-theft, and motor vehicle theft. Data are not included for the property crime of arson 

" l " "s ur « * ere 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 
luded from the Forcible rape. Violent crime, and Crime Index total categories. The rates for these categories were calculated excluding the 



149 



Table 16. — Crime Rates, Offenses Known to the Police, Suburban and Nonsuburban Counties, Population Group, 1986 

[1986 estimated population. Rate: Number of crimes per 100,000 inhabitants] 



Population group 


Index 


Modified 


IS 


•33 


negligent 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 


Burglary 


theft 


Motor 
vehicle 
theft 


Arson' 


Suburban Counties* 


























100,000 and over 


























103 counties; population 
24,886,000: 

Number of offenses known 

Rate 


1,200,541 
4,919.6 




122,216 
500.8 


1,078.325 
4,333.1 


1.656 
6.7 


8,417 
34.5 


35,529 
142.8 


76,614 
307.9 


337,317 
1,355.5 


638,066 
2,564.0 


102,942 

413.7 




25,000 to 99,999 


























311 counties; population 
15,614,000; 

Number of offenses known 

Rate 


389,607 
2,610.6 




35,860 
240.3 


353.747 
2,265.6 


720 


3,500 
23.5 


4.536 
29.1 


27,104 
173.6 


126,949 
813.0 


203,629 
1,304.1 


23.169 
148.4 




Under 25,000 


























841 counties; population 
2,660,000: 

Number of offenses known 

Rate 


123,024 
4,857.5 




13,497 
532.9 


109,527 
4,117.1 


256 
9.6 


1,503 
59.3 


1.676 
63.0 


10.062 
378.2 


34,745 
1,306.0 


61,349 
2,306.1 


13.433 
504.9 




Nonsuburban Counties 4 


























25,000 and over 


























286 counties; population 
11,229,000: 
Number of offenses known 
Rate 


219,818 
1,979.2 




20.968 
188.8 


198,850 

1,770.8 


541 
4.8 


2,097 
18.9 


1,972 
17.6 


16.358 

145.7 


76,097 
677.7 


1 10,960 
988.1 


11,793 
105.0 




10,000 to 24,999 


























710 counties; populadon 

11,115,000: 

Number of offenses known 

Rate 


169,220 
1.622.7 




14,367 
137.8 


154,853 
1.393.2 


447 
4.0 


1,234 
11.8 


1,069 
9.6 


11,617 
104.5 


62.297 
560.5 


83,536 
751.6 


9,020 
81.2 




Under 10,000 


























1,649 counties; population 
4,699,000: 

Number of offenses known 

Rate 


129,867 
2,898.0 




12,902 
287.9 


116.965 
2,489.4 


432 
9.2 


1.691 

37.7 


1,039 
22.1 


9,740 
207.3 


45,040 
958.6 


63,163 
1,344.3 


8.762 
186.5 





fewer agencies furnished complete reports for ; 



than for the other 



Crin 



Index offenses Independently tabulated 



included for the property 



Arson rates are not presented in this table I 
arson rates appear on page 37 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 

4 Offenses include sheriffs' and county law enforcement agencies. State police offenses are not included. 
Population figures were rounded to the nearest thousand. All rates were calculated on the population before rounding. 

Forcible rape figures furnished by the state-level Uniform Crime Reporting (UCR) Program administered by the Illinois Department of State Police were not in accordance w 
national UCR guidelines and were excluded from the Forcible rape. Violent crime, and Crime Index total categories. The rates for these categories were calculated excluding the 
population for the state of Illinois. 



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152 



rable 18. — Offense Analysis, 1986, and Percent Change from 1985 

;i3,378 agencies; 1986 estimated population 225,261,000] 



vIURDER 
FORCIBLE RAPE 
JOBBERY 

Total 



Street/highway 
Commercial house 
Gas or service slati 



Miscellaneous 



3URGLARY: 

Total 

Residence (dwelling): 

Night 

Day 

Unknown 

Nonresidence (store, office, etc.): 

Night 

Day 

.ARCENY THEFT (EXCEPT MOTOR VEHICLE THEFT) 
Total 

By type: 

Pocket-picking 

Purse-snatching 

Shoplifting 

From motor vehicles (except accessories) 

Motor vehicle accessories 

From buildings 

From coin-operated machines 

All others 

By value; 

Over $200 

$50 to $200 

Under $50 
rfOTOR VEHICLE THEFT 



18,967 
85,988 



2K5.W 
63,284 
15,839 
27,091 
53,595 
6,465 
61,754 



:.049,247 
661,676 
852,147 
535,424 
990,708 
503,335 
189,192 
298,181 



78,932 


+ 1.8 


89,781 


+ 10.7 


1,008,162 


+ 10.6 


1,409,881 


+9.7 


1,134,439 


+4.0 


490,053 


-7.1 


1,034,579 


+ 1.3 


61,287 


+ 10.2 


1,515,872 


+4.5 


2,338,856 


+5.6 


1,848,818 


+ 1.8 


2,635,312 


+6.7 



Because of rounding, percentages may 



add to totals 



rable 19. — Type and Value of Property Stolen and Recovered, 1986 

13,378 agencies; 1986 estimated population 225,261,000] 



Type of property 


Value of property 




Stolen 


Recovered 


recovered 




$11,583,489,000 


$4,120,101,000 










746,831,000 
1,161,574,000 

263,047,000 
5,699,475,000 

182,453,000 
1,018,055,000 

125,547,000 

214,990,000 

79,549,000 

21,365,000 

2,070,602,000 


44,341,000 
61,255,000 
30,613,000 
3,647,376,000 
15,639,000 
52,933,000 
12,431,000 
15,551,000 
9,776,000 
3,823,000 
226,364,000 




































livestock 


17.9 







and percentages calculated before rounding. 



153 



SECTION III 
CRIME INDEX OFFENSES CLEARED 



For UCR purposes, law enforcement agencies clear or 
solve an offense when at least one person is arrested, 
charged with the commission of the offense, and turned over 
to the court for prosecution. Several crimes may be cleared 
by the arrest of one person, while the arrest of many persons 
may clear only one offense. Law enforcement agencies may 
clear a crime by exceptional means when some element 
beyond law enforcement control precludes the placing of 
formal charges against the offender. Examples of 
circumstances allowing such clearances are the death of the 
offender (suicide, justifiably killed by police or private 
citizen, etc.); the victim's refusal to cooperate with 
prosecution after the offender has been identified; or the 
denial of extradition because the offender committed 
another crime and is being prosecuted in a different 
jurisdiction. In all exceptional clearance cases, law 
enforcement must have identified the offender, have enough 
evidence to support arrest, and know the offender's location. 

Law enforcement agencies cleared 21 percent of the 
Crime Index offenses brought to their attention during 
1986. The overall clearance rate for violent crime was 46 
percent with a 70-percent clearance rate for murder, 52 



percent for forcible rape, 25 percent for robbery, and 59 
percent for aggravated assault. Clearances for crimes against 
persons (murder, forcible rape, and aggravated assault) are 
generally higher as more intense investigative efforts are 
often given these offenses and witnesses are frequently 
available to identify the perpetrators. 

Seventeen percent of the property crimes collectively were 
cleared. The clearance rate for burglary was 14 percent, and 
for larceny-theft, 20 percent. For both motor vehicle theft 
and arson, clearance rates of 15 percent were recorded. 
When considering the total Modified Crime Index which 
includes arson, the overall clearance rate remained the 
same, 21 percent. 

Geographically, the highest clearance rate for the total 
Crime Index offenses was registered in the Southern States 
with 22 percent. Following were the Western States with 21 
percent, the Midwestern States with 20 percent, and the 
Northeastern States with 19 percent. In addition to 
registering the highest Crime Index clearance percentage, 
the Southern States also recorded the most successful 
violent crime clearance, 50 percent. 



Percent of Offenses Cleared by Arrest 1 , 


Region, 1986 




















.... 


Crime 


Modified 
Index 


™r 


■a? 


Murder and 

negligent 

lu.insl.iugliU' 


Forcible 
rape 


Robbery 


Aggra- 


Burglary 


Urceny- 
theft 


vehicle 


Arson 


United States total 


20 .7 


20.7 


46.3 


17.5 


70.2 


52.3 


24.7 


59.4 


13.6 


1"' 


14.8 


15.3 




19.2 
19.7 
21.8 

21.2 


19.2 
19.7 
21.8 
21.1 


42.5 
42.2 
50.5 
46.9 


15.6 

17.1 
18.3 
18.0 


69.2 

64.7 
75.9 

64.7 


55.9 
45.1 
56.8 
48.5 


24.9 
20.1 
27.0 
25.2 


58.6 
55.3 
62.0 
59.4 


13.4 

15.5 
12.5 


18.1 
19.8 
19.6 
20.7 


8.9 
13.9 
18.7 
16.3 





















includes exceptional clearances 



By community type, rural county law enforcement 
agencies showed clearances for 22 percent of the Crime 
Index offenses brought to their attention. Those in cities and 
suburban counties cleared 21 percent. 
Clearances Involving Only Persons under 18 Years of Age 

Involvement of juveniles in crime can be measured by the 
number of crimes in which they have been identified as the 
offenders. Even though no physical arrest has been made, a 
clearance by arrest is recorded when an offender under 18 
years of age is cited to appear in juvenile court or before 
other juvenile authorities. Juveniles (persons under 18 years 
of age) accounted for an estimated 26 percent of the 1986 
U. S. population. 



Nineteen percent of the Crime Index offenses cleared by 
law enforcement during 1986 involved only young people 
under age 18. Persons in this age group accounted for 9 
percent of the violent crime clearances and 23 percent of 
those for property crimes. Murder showed the lowest 
percentage of juvenile involvement (5 percent), while the 
highest percentage was shown for arson (35 percent). 

Regionally, the Midwest recorded the largest percentage 
of Crime Index offense involvement by the under 18 age 
group- 24 percent. Juveniles were the offenders in 21 
percent of the clearances in the Western States, 18 percent 
of those in the Northeastern States, and 16 percent of those 
in the Southern States. 



CRIMES CLEARED BY ARREST 
1986 

CRIMES OF VIOLENCE 

NOT CLEARED CLEARED 



















^:?:-:v:-:-:-:-: : : : : : : : ^: : : : : 


MURDER 70% 






AGGRAVATED cqo/ 
ASSAULT 0y /o 




I' :'..:: 




FORCIBLE c 00/ 
RAPE °* /o 






I 




f . - : • .. 






OBBERY 


25% 






. ..:.;•? 















CRIMES AGAINST PROPERTY 

NOT CLEARED CLEARED 



BURGLARY 




1 


• larceny-theft; 




||y-: MOTOR VEHICLE THEFT 




* 



14% 
20% 

15% 



155 



Table 20. — Offenses Known and Percent Cleared by Arrest', Population Group, 

[1986 estimated population] 



Population group 


3f 


Modified 


» 


Property 


Murder 
negligent 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 


Burglary 


l =" 


theft 


W 


TOTAL ALL AGENCIES: 


























13,599 agencies; total 


























population 227,574,000: 


























Offenses known 


12,734,405 


12.844,439 


1,445,965 


11.288,440 


19,933 


83,544 


535,295 


807,193 


3,114,788 


6,983,439 


1,190,213 


110,03- 


Percent cleared by arrest 


20.7 


20.7 


46.3 


17.5 


70.2 


52.3 


24.7 


59.4 


13.6 


19.7 


14.8 


15. 






TOTAL CITIES: 9,297 cities; 


























total population 153.987,000: 


























Offenses known 


10,432,007 


10,517,659 


1,218,417 


9,213,590 


15,739 


64,769 


487,812 


650,097 


2,414,984 


5,783,979 


1,014,627 


85,65 


Percent cleared by arrest 


20.7 


20.7 


44.6 


17.5 


70.0 


51.5 


24.2 


58.6 


13.1 


20.1 


13.6 


14. 


Group I 


























60 cities, 250,000 and over; 


























total population 43,808,000: 


























Offenses known 


4,177,955 


4,219,269 


673,4X1 


3,504.474 


9,437 


31,689 


327,513 


304,842 


976,277 


1,975,851 


552,346 


41.31 


Percent cleared by arrest 


18.2 


18.1 


39.7 


14.1 


66.1 


51.0 


22.3 


56.5 


11.1 


16.6 


10.2 


10. 


8 cities, 1,000,000 and over; 


























total population 19.993,000: 


























Offenses known 


1,866,678 


1,888.829 


367,677 


1,499,001 


5,008 


11.473 


191,943 


159,253 


402,772 


796,900 


299.329 


22,15 


Percent cleared by arrest 


17.4 


17.2 


37.7 


12.4 


62.9 


49.0 


21.4 


55.9 


10.2 


14.7 


9.0 


5. 


16 cities, 500,000 to 999,999; 


























total population 10,683,000: 


























Offenses known 


963,356 


971,384 


125,607 


837.749 


1,926 


8.666 


59,450 


55,565 


231.065 


491,397 


115.287 


8,02 


Percent cleared by arrest 


18.0 


17.9 


40.7 


14.5 


68.8 


54.2 


22.9 


56.6 


11.7 


16.5 


12.0 


17. 


36 cities. 250.000 to 499,999; 


























total population 13,131,000: 


























Offenses known 


1,347,921 


1,359,056 


180.197 


1,167,724 


2,503 


11,550 


76.120 


90,024 


342.440 


687,554 


137,730 


11.13 


Percent cleared by arrest 


19.5 


19.5 


43.2 


15.9 


70.4 


50.6 


24.1 


57.6 


11.7 


18.9 


11.3 


15. 


Group II 


























126 cities, 100,000 to 249,999; 


























total population 18,385,000: 


























Offenses known 


1,509,219 


1,522,184 


162,014 


1,347,205 


2,075 


9.655 


58,421 


91.863 


378,275 


850,723 


118.207 


12,96 


Percent cleared by arrest 


21.4 


21.4 


49.0 


18.1 


75.0 


51.6 


29.1 


60.7 


13.5 


20.5 


15.3 


16. 


Group III 


























301 cities, 50,000 to 99,999; 


























total population 20,589,000: 


























Offenses known 


1,306,225 


1,315,824 


127,563 


1,178,662 


1,300 


8,014 


42,337 


75,912 


309,389 


748,223 


121,050 


9.59 


Percent cleared by arrest 


21.8 


21.8 


46.8 


19.1 


73.6 


49.9 


26.7 


57.3 


13.7 


22.3 


13.4 


15. 



fable 20. — Offenses Known and Percent Cleared by Arrest', Population Group, 1986 — Continued 



Population group 


3f 


Modified 
Indci 


» 


Property 


negligent 
slaughter 


rape 


Robbery 


Aggra- 


Burglary 


Ihefl" 


3 


Arson= 


Group IV 


























56 cities, 25,000 to 49,999; 
total population 22,659,000: 

Offenses known 

Percent cleared by arrest 


1,295,961 

22.3 


1,304,195 

22.2 


106.525 
48.4 


1,189,436 
19.9 


1,144 
73.6 


6.638 
49.1 


30,343 
26.8 


68,400 

57.5 


293,386 
14.2 


800,301 

22.5 


95,749 
16.5 


8,234 
17.3 


Group V 


























,61 1 cities, 10,000 to 24,999; 
total population 25,333,000: 
Offenses known 
Percent cleared by arrest 


1,180,683 
23.8 


1,187,845 
23.8 


84,060 

53.8 


1,096,623 
21.5 


985 
80.8 


5.160 
54.2 


19,287 
30.0 


58,628 
61.1 


257,122 
15.4 


762,972 
23.6 


76,529 
21.5 


7,162 
20.6 


Group VI 


























,543 cities under 10,000; total 
population 23.212,000: 

Offenses known 

Percent cleared by arrest 


961,964 

23.1 


968,342 

23.1 


61.5 


897,190 

20.3 


798 
79.3 


3,613 
58.6 


9,911 
31.5 


50,452 
67.3 


200,535 
16.7 


645,909 
20.7 


50,746 
29.1 


6,378 
22.8 


Suburban Counties 


























,326 agencies; total 
population 44,310,000: 
Offenses known 


1,736,944 


1,754,611 


174,679 


1,562,265 


2,642 


13,292 


43.042 


115,703 


501,473 


918,182 


142.610 


17,667 


Rural Counties 


























,976 agencies; total 
population 29,278,000: 

Offenses known 

Percent cleared by arrest 


565,454 
22.0 


572,169 
22.0 


52,869 
63.9 


512,585 

17.7 


1,552 
78.1 


5,483 
58.1 


37.6 


41,393 
67.0 


198,331 
16.1 


281,278 
17.0 


32,976 
32.3 


6,715 
20.1 


Suburban Area 5 


























,364 agencies; total 
population 91,779,000: 

Offenses known 

Percent cleared by arTest 


3,981,933 
21.1 


4,014,176 
21.1 


339,359 
51.7 


3,642.574 
18.3 


4.318 
69.3 


23,042 
52.9 


87,382 
27.4 


224,617 
60.7 


990,405 
14.7 


2,339,976 
19.8 


312,193 
18.4 


32,243 
17.9 



Includes offenses cleared by exceptional means. 

2 The number of agency reports used in arson clearance rates is less than used in compiling clearance rat 
sed in the arson column for this table is greater than the number used in the clearance tables on page 39, 
d be included in this table. The Modified Cnme Index total is the sum of the Crime Index offenses, including arson. 

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

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

'includes suburban city and county law enforcement agencies within metropolitan areas. Excludes central cities. Suburban cities and counties are also included in other groups. 

Forcible rape figures furnished by the state-level Uniform Cnme Reporting (UCR) Program administered by the Illinois Department of State Police were not in accordance wit 
ational UCR guidelines and were excluded from the Forcible rape, Violent cnme. Crime Index total, and Modified Cnme Index total categories. 



Table 21. — Offenses Known and Percent Cleared by Arrest , Geographic Division, 1986 

[1986 estimated population] 



Geographic division 


Index 


Modified 


» 


Property 


Murder 
negligent 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 


Burglary 


theft 


theft 


Arso, 


TOTAL ALL DIVISIONS 


























13,599 agencies; population 
227,574,000: 
Offenses known 


12,734,405 
20.7 


12,844,439 
20.7 


1,445,965 
46.3 


11,288,440 

17.5 


19,933 

70.2 


83.544 
52.3 


535,295 

24.7 


807,193 
59.4 


3,114,788 
13.6 


6,983,439 
19.7 


1,190,213 
14.8 


110,034 
15.3 


Percent cleared by arrest 






New England States 


























684 agencies; population 

11,191,000: 

Offenses known 


520,210 
18.7 


524,867 
18.6 


48,922 
44.4 


471,288 
16.0 


417 
65,5 


2,978 
53.4 


18,274 
22.3 


27,253 
57.8 


123,285 
13.8 


276,309 
18.7 


71,694 
9.3 


4,657 


Percent cleared by arrest 


15.3 


Middle Atlantic States 


























2,405 agencies; population 
36,930,000: 

Offenses known 

Percent cleared by arrest 


1,763,863 
19.4 


1,783,880 
19.3 


258,839 

42.1 


1,505,024 
15.5 


2,951 
69.7 


10,790 
56.6 


129,219 
25.3 


115.879 
58.8 


379,172 
13.3 


914,552 
18.0 


211,300 
8.8 


20,017 
11.5 


East North Central States 


























2,197 agencies; population 
37,866,000: 
Offenses known 


1,991,891 
18.9 


2,009,891 
18.9 


229,326 
40.2 


1,762,565 
16.2 


3,013 
61.9 


12,117 
43.2 


87,218 
19.1 


126,978 
53.9 


439,870 
10.8 


1,114,390 
19.0 


208,305 
12.6 


18,000 


Percent cleared by arrest 


10.7 


West North Central States 


























1,327 agencies; population 
15,881,000: 

Offenses known 

Percent cleared by arrest 


707,179 
22.0 


712,470 
22.0 


58,048 
50.1 


649,131 
19.5 


757 
75.8 


4.198 
50.7 


16.009 
25.5 


37,084 
60.1 


160.619 
13.1 


441,760 
21.8 


46.752 
19.9 


5.291 
19.0 


South Atlantic States 


























2,653 agencies; population 
40,151,000: 

Offenses known 

Percent cleared by arrest 


2,308,135 
23.1 


2,323,758 
23.1 


276,748 
51.5 


2,031,387 
19.3 


3,955 

75.2 


16,199 
58.3 


90.141 

27.3 


166,453 
63.4 


593.197 

17.2 


1,273,599 

19.8 


164,591 
22.0 


15.623 
18.6 


East South Central States 


























1,017 agencies; population 
12,546,000: 
Offenses known 


524,537 
20.6 


529,051 
20.6 


61,829 

47.8 


462,708 

17.0 


1,235 
85.6 


4.287 
51.2 


18.162 
23.1 


38,145 
57.9 


146,468 
12.9 


273.122 
19.2 


43.118 
17.0 


4,514 


Percent cleared by arrest 


24.3 


West South Central States 


























1,378 agencies; population 
25,815,000: 
Offenses known 


1,760,932 
20.4 


1,773,902 
20.4 


163,201 


1,597,731 

17.4 


3,218 

73.2 


12,068 
56.8 


54,945 

27.7 


92,970 
61.2 


480,774 

14.2 


953.351 

19.3 


163,606 
15.8 


12,970 
19.6 


Percent cleared by arrest 


Mountain States 


























755 agencies; population 
12,452,000: 

Offenses known 

Percent cleared by arrest 


791,684 
23.9 


797,469 

23.9 


63,374 
53.6 


728,310 

21.3 


911 
70.9 


4,818 
50.4 


16,207 
27.8 


41.438 
63.7 


192,816 

12.6 


489.516 

24.5 


45,978 
23.1 


5.785 

21.8 


Pacific States 


























1,183 agencies; population 
34,743,000: 

Offenses known 

Percent cleared by arrest 


2,365,974 
20.3 


2,389,151 
20.2 


285,678 
45.5 


2,080,296 
16.8 


3,476 
63.1 


16.089 
48.0 


105,120 
24.8 


160,993 

58.3 


598,587 
12.5 


1,246.840 
19.2 


234,869 

14.9 


23.177 
13.3 



Includes offenses cleared by exceptional means. 

2 The number of agency reports used in arson clearance rates is less than used in compiling clearance rates for other Crime Index 
used in the arson column for this table is greater than the number used in the clearance table on page 39, since it is not necessary 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. 

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

Forcible rape figures furnished by the state-level Uniform Cnme Reporting (UCR) Program administered by the Illinois Department 
national UCR guidelines and were excluded from the Forcible rape. Violent cnme. Cnme Index total, and Modified Cnme Index total i 



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Table 23. — Offenses Cleared by Arrest 1 

[1986 estimated population] 



of Persons Under 18 Years of Age, 1986 



Population group 


Index 


Modified 


25 


Property 


Murder 
negligent 


F r ie 


Robbery 


Aggra- 


Burglary 


theft 


5F 


Arson ! 


TOTAL ALL AGENCIES: 

13,461 agencies; population 
223,695,000: 


2,600,384 


2,616,652 


657,297 


1,943,087 


13,619 


42,808 
9.6 

32,665 
9.5 


130,010 


470,860 
8.4 

374,493 

8.5 


416,708 
20.9 

312,495 

20.7 


1,354,885 
23.4 

1,150,792 
23.9 


171,494 

20.2 

135,122 
20.3 


16,268 

35.4 

11,907 
37.1 




TOTAL CITIES: 9,279 cities; 
population 151,832,000: 


2,132,779 
19.5 


2,144,686 
19.6 


534,370 
9.1 


1,598,409 
23.0 


10,733 
4.6 


116,479 
11.4 






Group I 


























58 cities, 250,000 and over; 
population 42.676.000: 


747,689 
14.4 

324,109 
11.3 

164,265 
16.9 

259,315 


751,780 

325.416 
11.4 

165,327 
17.0 

261.037 
16.7 


262,453 
7.5 

138,733 
6.3 

47,334 
9.8 

76.386 
8.1 


485,236 

18.1 

185,376 
15.0 

116.931 
19.8 

182,929 
20.2 


6.017 
3.9 

3.149 
3.5 

1,170 
4.5 

1,698 
4.1 


15.686 
7.5 

5,626 
6.5 

4.317 

5.743 
8.0 


71,750 

41,010 
8.4 

12.738 
13.2 

18,002 
10.0 


169,000 
6.7 

88,948 
5.5 

29,109 
8.7 

50,943 
7.6 


106,378 
16.4 

41.204 
13.9 

25,733 
17.4 

39,441 
18.4 


324.070 
18.5 

117,274 
15.3 

78,656 
19.5 

128,140 
20.7 


54,788 
19.2 

26,898 

15.5 

12,542 
26.3 

15,348 
19.9 


4.091 
28.3 

1,307 
25.2 

1.062 
31.5 

1,722 
28.6 


Percent under 18 

8 cities, 1,000,000 and over: 
population 19,993,000: 

Total clearances 

Percent under 18 

15 cities, 500,000 to 999,999; 

population 10,023.000: 

Total clearances 

Percent under 18 

35 cities, 250.000 to 499,999; 

population 12,660,000: 

Total clearances 

Percent under 18 


Group II 


























121 cities, 100,000 to 249,999; 
population 17.632,000: 

Total clearances 

Percent under 18 


311.485 
18.5 


313,491 
18.6 


75,915 
9.6 


235,570 

21.4 


1,490 
5.4 


4.828 
9.7 


16.449 
13.0 


53,148 
8.7 


49,405 
17.2 


168,731 

22.7 


17,434 
20.3 


2.006 
36.4 


Group III 


























300 cities, 50,000 to 99.999; 
population 20,525,000: 


284,145 


285,614 


59.710 


224,435 


955 


3.994 


11,292 


43,469 
10.8 


42,106 

22.5 


166,124 
26.2 


16,205 
21.8 


1,469 
40.0 




Group IV 
















553 cities, 25,000 to 49,999; 
population 22.544,000: 


287,466 

23.3 


288,882 
23.4 


51,453 
11.2 


236,013 
26.0 


842 
7.0 


3.250 
10.7 


8,109 
14.9 


39.252 
10.5 


41,464 
23.9 


178,878 
26.9 


15,671 
21.2 


1.416 


Percent under 18 



161 



Table 23. — Offenses Cleared by Arrest' of Persons Under 18 Years of Age, 1986 — Continued 



Population group 


Index 


Modified 


3* 


•B 


Murder 
negligent 


Forcible 


Robbery 


Aggra- 


Burglary' 


iheft 


Moior 
iheft 


W 


Group V 

1,605 cities, 10,000 to 24,999; 
population 25,242,000: 


280,028 
23.8 

221,966 
24.1 

347,482 
17.9 

120,123 
15.8 

829,354 
21.3 


281,500 
23.9 

223,419 
24.3 

350,523 
18.0 

121,443 
15.8 

835,006 

21.4 


44,998 
10.5 

39,841 
10.7 

90,220 
9.0 

32,707 

173,656 
10.4 


235,030 
26.4 

182,125 
27.1 

257,262 
21.0 

87,416 
19.3 

655,698 
24.2 


796 
6.4 

633 
3.9 

1.710 

1,176 

2,944 
5.6 


2.789 
11.4 

2,118 
13.2 

7,040 
9.3 

3,103 
10.3 

12,048 
10.5 


5,760 
13.6 

3,119 
13.3 

11,897 

10.7 

1,634 
6.7 

23,744 
12.8 


35,653 
10.0 

33,971 
10.4 

69,573 
8.8 

26,794 
5.9 

134,920 
10.0 


39,599 
25.0 

33,543 
28.3 

73.157 
21.0 

31,056 

142,603 
23.3 


179,154 
27.2 

133.835 
27.4 

157,972 
21.1 

46,121 
17,4 

457,308 
24.9 


16,277 
20.5 

14,747 
21.7 

26,133 
20.0 

10,239 
19.4 

55,787 
20.5 








Group VI 

6,542 cities under 10,000; 
population 23,212,000: 








Suburban Counties 

1,284 agencies; 
population 43,212,000: 








Rural Counties 

2,898 agencies; 
population 28,651,000: 








Suburban Areas' 

6,315 agencies; population 
90,510,000: 













Includes offenses cleared by exceptional means. 

2 The number of agency reports used in arson clearance rates is less than used in compiling clearance rates for other Crime Index offenses. However, the number of agencies 
used in the arson column for this table is greater than the number used in the clearance tables on page 39, since it is not necessary to report clearances by detailed property 
classification to be included in this table. The Modified Crime Index total is the sum of the Crime Index offenses, including arson. 
3 Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 

Property crimes are offenses of burglary, larceny -theft, and motor vehicle theft Data are not included for the property crime of arson, 
'includes suburban city and county law enforcement agencies within metropolitan areas. Excludes central cities. Suburban cities are also included in other city groups. 

ot in accordance w 



SECTION IV 
PERSONS ARRESTED 



In addition to being a gauge of law enforcement's 
response to crime, arrest counts provide definitive data 
:oncerning the age, sex, race, and ethnic origin of the 
jerpetrators. Arrest practices, policies, and enforcement 
;mphases vary from place to place and even within a 
community from time to time as, for example, during a local 
Dolice campaign against residential burglary. While the 
jractices for certain unlawful conduct such as drunkenness, 
disorderly conduct, vagrancy, and related violations may 
differ among agencies, those for robbery, burglary, and 
jther serious crime arrests are more likely to be uniform and 
consistent throughout all jurisdictions. This Program's 
procedures require that an arrest be counted on each 
separate occasion a person is taken into custody, notified, or 
;ited. Annual arrest figures do not measure the number of 
ndividuals arrested since one person may be arrested 
several times during the year for the same or different 
jffenses. 

Law enforcement agencies nationwide made an estimated 
12.5 million arrests in 1986 for all criminal infractions 
;xcept traffic violations. When the arrest volume was 
•elated to the total United States population, the arrest rate 
ivas 5,232 per 100,000 inhabitants. In cities with populations 
)f 250,000 or more, the rate was 7,735, the highest recorded. 
For suburban county agencies overall, the arrest rate was 
5,914, and for rural county law enforcement, it was 3,440 
jer 100,000 inhabitants. 

Regionally, the arrest rates per 100,000 population 
■anged from 4,180 in the Midwest to 5,978 in the West. The 
Jouth recorded an arrest rate of 5,314 and the Northeast, 
5,402. 

\rrest Trends 

The number of arrests for all offenses except traffic 
violations increased 5 percent in 1986 as compared to the 
1985 volume. During the same time period, adult arrests 
dso rose 5 percent, while those of persons under 1 8 years of 
ige were up 3 percent. Also on the upswing in 1986 were 
irrests for the eight Crime Index offenses overall. Compared 
:o 1985 totals, Crime Index arrests for persons of all ages 
ncreased 6 percent, adult arrests rose 8 percent, and 
juvenile arrests were up 1 percent. Arrests for the Index's 
/iolent crimes jumped 12 percent and those for property 
;rimes rose 4 percent. 

Similar to the national experience, 2-year trends for city 
igencies showed a 5-percent increase in total arrests, 1986 
aver 1985. Suburban county arrests were up 4 percent and 
rural county arrests, 3 percent. 

For the 5-year period, 1982-1986, total arrests increased 7 
percent. While adult arrests were up 8 percent, those of 



persons under 18 years of age dropped 1 percent. Five-year 
trends for the Crime Index revealed increases of 3 percent 
for total arrests, and 5 percent for adults. Conversely, 
arrests of juveniles under 18 years of age dropped 4 percent. 
During the same years, total violent and property crime 
arrests increased, 8 and 1 percent, respectively. 

Increases in total arrests were recorded for the 10 years, 
1977-1986. Arrests for all offenses were up 27 percent; 
Crime Index offenses, 18 percent; violent crimes, 33 percent; 
and property crimes, 15 percent. 

Arrests for drug abuse violations were 2 percent higher in 
1986 than in 1985 and 30 percent above the 1982 level. The 
types of drugs involved in violations resulting in arrests 
during 1986 are shown by geographic region in the 
accompanying table. 

Arrests for Drug Abuse Violations, 1986 



[Percent distribution] 














r 


S: 


Mid- 


South- 
States 


States 


Total' 


1000 


100.0 


1000 


1000 


100.0 


Sale Manufacture: 


25.1 


33.3 


26.3 


25.1 


18.8 


Heroin or Cocaine and their derivatives 


12.7 


21.1 


5.6 


102 


11 


Marijuana 


7.9 


9.1 


9.0 


9.1 


5.5 


Synthetic or manufactured drugs 


.8 


.9 


1.0 


14 


.2 


Other dangerous nonnarcotic drugs 


3.7 


2.3 


10.7 


44 


2.1 


Possession: 


74.9 


66.7 


73.7 


74.9 


81.2 


Heroin or Cocaine and their derivatives 


28.1 


28.2 


96 


20.2 


40 8 


Marijuana 


36.0 


32.8 


53 1 


46.9 


22.9 


Synthetic or manufactured drugs 


1.8 


16 


1.8 


34 


6 


Other dangerous nonnarcotic drugs 


9.1 


4.1 


9.2 


4.5 





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

Age 

Five percent of all persons arrested nationwide in 1986, 
were under the age of 15; 17 percent were under 18; 31 
percent were under 21; and 49 percent were under 25. 
Persons in the under 25 age group accounted for 50 percent 
of arrests in the cities, 45 percent of those in the suburban 
counties, and 41 percent of those in the rural counties. 

Age distribution figures for persons arrested for Crime 
Index offenses showed 30 percent were under the age of 18; 
45 percent were under 21; and 60 percent, under 25. The 
under 25 age group was also responsible for 48 percent of 
the violent crime arrests and 64 percent of property crime 
arrests in 1986. 
Sex 

Four of every 5 persons arrested in the Nation during 
1986 were males. They accounted for 79 percent of Index 
crime arrests, 89 percent of those for violent crime, and 76 
percent of the property crime arrests. Males were most often 



163 



arrested for driving under the influence, which accounted 
for 15 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 79 percent of arrests of women for Index 
crimes and 20 percent of all female arrests. Fifty-five 
percent of all female larceny-theft arrestees were under 25 
years of age. 

Arrests of both males and females rose 5 percent from 
1985 to 1986. Male arrests also showed a 5-percent rise from 
1982 to 1986, while female arrests were up 13 percent for 
the same 5-year period. 

Table 24.— Total Estimated Arrests', United States, 1986 



Race 

Race distribution figures for the total number of arrests in 
the United States during 1986 showed 71 percent of the 
arrestees were white, 27 percent were black, and the 
remainder were of other races. Whites accounted for 52 
percent of the arrests for violent crimes and 68 percent of 
those for property crimes, while blacks accounted for 46 
percent of the violent crime arrests and 30 percent of the 
property crime arrests. 





12,487,500 


Fr 












19.190 
37,140 
145,800 
351,770 
450,600 
1,400,200 
153,600 
18,700 




Murder and nonneghgent manslaughter 






Forcible rape 






Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 


Weapons: carrying, possessing, etc. 
Prostitution and commercialized vice 

Sex offenses {except forcible rape and prostitution) 

Drug abuse violations 


190,500 
112,600 
100,600 
824,100 


Arson 








553,900 
2,023,200 






Violent crime' 

Property crime 4 


Liquor laws 


600,200 


Disorderly conduct 






2,577,100 




Crime Index total 5 


All other offenses (except traffic) 

Suspicion (not included in totals) 

Curfew and loitering law violations 

Runaways 


2,730,500 




711,000 
92,200 


9,000 
86,200 
165,200 







^Arrest totals based on all reporting agencies and estimates for unreported areas. 
"'Because of rounding, items 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. 



164 



Table 25.— Arrests, 

[Rate: Number of am 



and Rate, Region, 1986 

00.000 inhabitants] 



TOTAL 

Rate 

Murder and nonneghgent manslaughter 

Rate 
Forcible rape 

Rate 
Robbery 

Rate 
Aggravated assault 

Rate 
Burglary 

Rate 
Larceny-theft 

Rate 

Motor vehicle theft 

Rate 
Arson 

Rate 

Violent crime' 

Rate 
Property crime 2 

Rate 



Other assaults 

Rate 

Forgery and counterfeiting 

Rate 

Rate 

Embezzlement 

Rate 

Stolen property; 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 

Rate 

Disorderly conduct 

Rate 

Vagrancy 

Rate 

All other offenses (except traffic) 

Rate 

Suspicion (not included in totals) 

Rate 

Curfew and loitering law violations 

Rate 

Runaways 

Rate 



United States Total 

(10.743 agencies, 

population I1K.4K.X.IIIX! 



1,384,722 
5,231.9 



124,245 

62.6 

293,952 



1X2,099 

595.6 

128,514 



465.391 

234.5 

1.701.680 

857.3 



593.902 
299.2 
76,546 
38.6 
284.790 
143.5 
10,500 



223,231 

112.5 

160,204 



691,882 

348.6 

25,839 

13.0 

47,327 

23.8 

1,458,531 

734.8 

490,436 

247.1 

777,866 

391.9 

564,882 

284.6 

32,992 

16.6 

2,272,589 

1,145.0 

7,455 

3.8 

72,627 

36.6 

138,586 

69.8 



ir'isjmi 



41.913 
105.0 
61.495 



Midwestern States 
(2.618 agencies; 

population 4.1. 7M.mil 



190,900 

478.5 

21.864 



100,663 
252.2 
10,086 



62,751 
157.2 
23,900 



166,809 

417.9 

10,712 

26.8 

8,316 

20.6 

163,104 

408.6 

98,907 

247.8 

36,180 

90.6 

219,170 

549.0 

8,180 

20.5 

696,150 

1,743.9 

1,567 

3.9 

20,245 



50.7 



65.266 
149.2 

325.643 
744.3 



110.245 
252.0 
12.329 



55,372 
126.6 
30,369 



15.445 

35.3 

68,888 

157.4 

3,383 

7.7 

10,759 

24.6 

283,425 

647.8 

138,534 

316.6 

60,493 

138.3 

128,548 

293.8 

2,612 

6.0 

392,930 

898.C 

2,386 

5.5 

20,883 

47.7 

36,516 



(4.272 agencies; 

population i.osoihkkii 



3,713,752 
5,313.7 



144.441 
206.7 

412.848 
590.7 

41,962 
60.0 
4,993 



228.7 

604.244 

864.6 



34,751 

49.7 

178,247 



54,405 

77.8 

65,104 



24,837 

35.5 

220,901 

316.1 

8,674 

12.4 

23,934 

34.2 

503,202 

720.0 

110,112 

157.5 

479,522 



748,068 
1,070.3 
3,174 
4.5 
9,122 
13.1 
50,594 



Violent crimes ar 
Property crimes l 
'Includes arson. 



ft Ml 



ilsli 



liilll 



S 2 

1 5 



I! 






; S = 5:.5SiSj = £ 8sS- 









HIS a I 






S I 

S 2 



— S§S§^§op — ^^s2?' 



s 5 



! R s I S * * I i S p 5 S " 



*m\ 



3l s ali 



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i"§li: 



II 



- - 2 £""2~: 



I 2 






2 



JS 1 

I 8. 

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i 






is 14 



n 






!2 ;"'".«°.o-" , .4'! 



S £ a: < 



I i 



8 _ 



-l°»l; 



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llI^Sil s E^llPi-I^III 2 l-^IiIiIllll"~-II"I^P 



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167 



Table 27. — Total Arrest Trends, 1977-1986 

[8,494 agencies; 1986 estimated population 180,790,000] 





Number of persons arrested 


Offense charged 


Total all ages 


Under 18 years of age 


18 years of age and over 


,977 


1986 


cha^e' 


1977 


,986 


change 


1977 


,986 


change 




7,524,937 


9,526,389 


+26.6 


1,824,712 


1,603,497 


-12.1 


5,700,225 


7,922,892 








Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary .. 

Larceny-theft 


13,668 
21,232 
99,267 
186,506 
383,306 
851,980 
112,612 
13,787 


14,833 
28.471 
116,636 
267,817 
342.672 
1,089,672 
117,190 
13,949 


+8.5 
+34.1 
+ 17.5 
+43.6 
-10.6 
+ 27.9 
+4.1 
+ 1.2 


1.301 
3,527 
31.661 
30,887 
198.132 
369,801 
60,514 
7,137 


1.297 
4,316 
26,380 
34.141 
123.037 
347,046 
45,907 
5,619 


-.3 
+22.4 
-16.7 
+ 10.5 
-37.9 
-6.2 
-24 1 
-21.3 


12.367 
17.705 
67.606 
155.619 
185,174 
482,179 
52,098 
6,650 


13.536 
24,155 
90,256 
233,676 
219.635 
742,626 
71.283 
8,330 


+9.5 
+36.4 
+33.5 
+ 50.2 
+ 18i 
+54.C 












320,673 
1,361,685 


427,757 
1,563,483 


+33.4 
+ 14.8 


67,376 
635,584 


66.134 
521,609 


-17.9 


253,297 
726,101 


361,623 
1,041,874 














1,682,358 


1,991.240 


+ 18.4 


702,960 


587,743 


-164 


979,398 


1.403,497 










328,237 
54,840 

183,816 
5,701 
87,716 

164,327 

107,696 

60,514 

52,017 
477,387 
39,448 
42,261 
944,344 

270,566 
1,047,121 
436,970 
41,570 
1,265,600 
19,582 
75,672 
156,776 


547,846 
70,884 
268,047 
9,678 
105,049 
202,729 
144,996 

92,555 

76,543 
632,225 
24,524 
43,514 
1,313,421 

433,837 
731,771 
519,560 
26,581 
2,097,060 
7,006 
66.757 
127.572 


+66.9 
+29.3 
+45.8 
+69.8 
+ 19.8 
+23.4 
+34.6 

+52.9 

+47.1 
+ 32.4 
-37.8 
+3.0 
+ 39.1 

+60.3 
-30.1 
+ 18.9 
-36. 1 
+65.7 
-64.2 
-11.8 
-18.6 


61,726 
7,510 
21,362 
682 
29,076 
99,842 
17,642 

2,572 

9,435 
111.945 
1,425 
2.525 
20,699 

101,355 
42.439 
90,621 
5.028 
263,420 
5,305 
75.672 
156,776 


79,391 
6,587 
17,360 
657 
26,651 
86,674 
23,092 

2,106 

12,512 
62,399 
559 
2,416 
20,147 

117,748 
24,348 
77,446 
2,313 
259,019 
2,519 
66.757 
127,572 


+28.6 
-12.3 
-18.7 
-3.7 
-8.3 
-13.2 
+30.9 

-18.1 

+32.6 
-44.3 

-60.8 

-4.3 
-2.7 

+ 16.2 
-42.6 

-14.5 
-54.0 
-1.7 
-52.5 

-18.6 


266,511 
47.330 

162,454 
5,019 
58,640 
64,485 
90.054 

57,942 

42.582 
365,442 
38,023 
39,736 
923,645 

169,211 
1,004,682 
346.349 
36,542 
1,002.180 
14,277 


468,455 
64.297 

250,687 
9.021 
78,398 

116.055 

121,904 

90,449 

64.031 
569,826 
23,965 

41,098 
1.293.274 

707,423 

24,268 

1,838.041 

4.487 












Embezzlement 

Stolen property; buying, receiving, possessing ....... 

Vandalism 

Weapons; carrying, possessing, etc. 


+79/ 
+ 33.' 
+ 80.1 
+35y 


Sex offenses (except forcible rape and 

prostitution) 

Drug abuse violations 

Gambling 

Offenses against family and children 
Driving under the influence 

Liquor laws 

Drunkenness 


+50, 
+55. 
-37. 
+3. 
+40. 

+86. 
-29. 
+27. 


Vagrancy 

All other offenses (except traffic) 

Curfew and loitering law violations 


-33. 
+83. 
-68. 











'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assauli 
2 Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson 
'Includes arson. 



Table 28. — Total Arrest Trends, Sex, 1977-1986 

[8,494 agencies; 1986 estimated population 180,790,000] 





Male 


Female 




Total 


Under 18 


Total 


Under 18 




,977 


1986 


J£J 


1977 


1986 


change 


1977 


,986 


P c"Z 


,977 


1986 


Percent 




6,316,223 


7,363,364 


+24.5 


1,430,309 


1,244,307 


-13.0 


1,208,714 


1,663,025 


+37.6 


394,403 


359.190 


-8.9 




Murder and ncnnegligent 


11,625 
21,011 
91,737 
162,596 
359,497 
575,771 
103,404 
12,248 


12,984 
28,161 
107,411 
232,382 
315,448 
754,332 
106,059 
12,024 


+ 11.7 
+34.0 
+ 17.1 
+42.9 
-12.3 
+31.0 
+2.6 


1,175 
3,435 
29,288 
26,291 
186,030 
263,243 
54,968 
6,478 


1,210 
4,243 
24,530 
28,842 
113,703 
254,428 
40,892 
5,068 


+ 3.0 
+23.5 
-16.2 

+9.7 
-38.9 

-3.3 
-25.6 
-21.8 


2,043 
221 
7,530 
23,910 
23,809 
276.209 
9,208 
1,539 


1,849 
310 
9,225 
35,435 
27,224 
335,340 
11,131 
1.925 


-9.5 
+40.3 
+22.5 
+48.2 
+ 14.3 
+21.4 
+20.9 
+25.1 


126 

92 

2,373 

4.596 

12.102 

106,558 

5,546 

659 


87 
73 
1,850 
5,299 
9,334 
92,618 
5.015 
551 


-31.0 
-20.7 
-22.0 
+ 15.3 
-22.9 
-13.1 
-9.6 
-16.4 






Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 


Violent crime 1 

Property crime 2 


286,969 
1,050,920 


380,938 
1.187,863 


+32.7 
+ 13.0 


60.189 
510,719 


58,825 
414,091 


-2.3 
-18.9 


33,704 
310,765 


46.819 
375,620 


+38.9 
+20.9 


7.187 
124.865 


7,309 
107,518 


+ 1.7 
-13.9 




1,337,889 


1.568,801 


+ 17.3 


570,908 


472,9i6 


-17.2 


344,469 


422,439 


+22.6 


132,052 


1 14,827 


-13.0 




Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, 


282,462 

38,629 

118,366 

4,403 

78,267 
150,338 
99,218 

18,650 

47,945 
410,577 
35.670 
38,163 
863,775 

229,913 
971,196 
365,813 
26,917 
1,071.756 
16,811 
59,789 
66,487 


464,400 

46,817 

152,336 

6,101 

92,880 
181,341 
134,102 

31,953 

70.404 
540,976 
20,216 
37,015 
1,162,713 

361,637 
666,330 
424,211 
23,526 
1,773,800 
5,825 
49,869 
53,936 


+64.4 
+21.2 
+28.7 
+38.6 

+ 18.7 
+20.6 
+35.2 

+ 71.3 

+46.8 
+31.8 
^43.3 
-3.0 
+34.6 

+57.3 
-31.4 
+ 16.0 
-12.6 
+65.5 
-65.4 
-16.6 
-18.9 


48,728 

5,458 

16,965 

534 

26,546 
92,305 
16.529 

848 

8,554 
93,447 
1.332 
1,576 
18,762 

79,334 
36,533 
74,278 

4,093 
207,303 

4,540 
59,789 
66,487 


61,263 

4,440 

13,107 

386 

24,164 
78,825 
21.571 

721 

11,586 

53,455 

520 

1,503 

17,457 

87,426 
20,641 
62,910 

1,893 
205,718 

1,979 
49,869 
53,936 


+25.7 
-18.7 
-22.7 
-27.7 

-9.0 
-14.6 
+30.5 

-15.0 

+35.4 
-42.8 
-61.0 

-7.0 

+ 10.2 
-43.5 
-15.3 
-53.8 
-.8 
-56.4 
-16.6 
-18.9 


45,775 
16,211 
65,450 
1,298 

9,449 
13,989 
8,478 

41,864 

4,072 
66,810 
3,778 
4,098 
80,569 

40,653 
75.925 
71,157 
14,653 
193,844 
2,771 
15,883 
90,289 


83,446 

24,067 

115,711 

3,577 

12,169 
21,388 
10,894 

60,602 

6,139 
91,249 
4,308 
6.499 
150,708 

72,200 
65,441 
95.349 
3,055 
323,260 
1,181 
16,888 
73,636 


+82.3 
+48.5 
+76.8 
+ 175.6 

+28.8 
+ 52.9 
+28.5 

+ 50.8 
+36.6 
+ 14.0 
+58.6 
+87.1 

+77.6 
-13.8 
+34.0 
-79.2 
+66.8 
-57,4 
+6.3 
-18.4 


12,998 

2,052 

4,397 

148 

2,530 
7,537 
1,113 

1,724 

881 

18,498 

93 

949 

1,937 

22,021 
5,906 
16.343 

935 
56.117 

765 
15,883 
90,289 


18,128 

2.147 

4,253 

271 

2,487 
7,849 
1,521 

1,385 

926 

8.944 

39 

913 
2,690 

30.322 
3,707 
14,536 

420 
53,301 

540 
16,888 
73,636 


+39.5 
+4.6 
-3.3 

+83.1 




+4 


Weapons; carrying, possessing, etc 

Prostitution and commercialized vice 
Sex offenses (except forcible rape and 

prostitution) 

Drug abuse violations 

Gambling 

Dffenses 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 


+36.7 
-19.7 

+5.1 
-51.6 
-58.1 

-3.8 
+ 38.9 

+ 37.7 
-37.2 
-11.1 
-55.1 

-5.0 
-29.4 

+6.3 







Table 29. — Total Arrest Trends, 1982-1986 

[8,079 agencies; 1986 estimated population 169,594,000] 



15,979 
24,733 
121,441 
232,350 
388,151 
994,834 
95,635 
14,803 



TOTAL 

Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 

Violent crime' 

Property crime 2 

Crime Index total 3 

Other assaults 

Forgery and counterfeiting 

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 



'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. 



of persons arrested 



Under 18 years of age 



377,136 


524,312 


71,129 


69,300 


232,669 


256,670 


6,781 


9,369 


99,842 


102,344 


171,380 


193,944 


139,406 


144,147 


93,635 


92,247 


58,805 


75,232 


491,496 


638,957 


28,013 


24,378 


36,729 


40,967 


,254,394 


1,243,635 


351,428 


409,267 


938,883 


723,033 


469,105 


493,002 


29,178 


29,081 


,754,729 


2,038,520 


7,814 


6,425 


69,664 


63,423 


96,636 


120,477 



1,328 
3,704 
31,353 
30,847 
154,216 
324,375 
34,381 
5,587 



26,245 
33,757 
119,360 



90,C 
201,503 
233,935 
670,459 

61,254 
9,21 



59,917 

7,019 

17,814 

533 

24,915 
76,514 
19,320 



22,328 

100,642 
30,406 
71,254 
3,201 
278,778 
2,304 
69,664 
96,636 



74,690 

6,389 

17,047 

629 

25,331 
82,038 
22,566 



18,952 

109,775 
24,257 
72,054 
2,164 
248,358 
2,197 
63,423 
120,477 



74,927 
94.866 
120,086 

91,288 

49,304 
425,286 
27,217 
35,382 

1,232.066 



25,977 

1,475,951 

5,510 



13,561 
23,533 
90,352 
234,384 
217,770 
711,126 
71,994 
8,176 



449,622 

62,911 

239,623 

8,740 



90,246 

63,002 
576,619 
23,823 
38,626 

1,224.683 

299,492 
698,776 
420,948 
26,917 
1,790,162 
4,228 



Table 30. — Total Arrest Trends, Sex, 1982-1986 

[8,079 agencies; 1986 estimated population 169,594,000] 





Males 


Females 




Total 


Under 18 


Total 


Under 18 




1982 


1986 


X"' 


1982 


!986 


change 


1982 


1986 


Percent 


1982 


1986 


Sang"' 




7,244,900 


7,623,244 


+5.2 


1,222,846 


1,190,876 


-2.6 


1,414,064 


1,604,298 


+13.5 


322,087 


341,080 








Murder and nonneghgent manslaughter 


13,863 


13,006 


-6.2 


1,222 


1,207 


-1.2 


2.116 


1,850 


-12.6 


106 


88 


-17.0 


Forcible rape 


24,488 


27,489 


+ 12.3 


3,645 


4,168 


+ 14.3 


245 


265 


+ 8.2 


59 


53 


-10.2 


Robbery 


112,493 


107,434 


-4.5 


29,201 


24,410 


-16.4 


8,948 


9,163 


+2.4 


2,152 


1,835 


-14.7 


Aggravated assault 


202,105 


232,528 


+ 15.1 


25,893 


28,598 


+ 10.4 


30,245 


35,613 


+ 17.7 


4,954 


5,159 


+4.1 


Burglars 


361,798 


309,770 


-14.4 


143,767 


110,151 


-23.4 


26,353 


27,360 


+3.8 


10,449 


9,209 


-11.9 


Larccnv-theft 


698,356 


721,148 


+3.3 


237.590 


241,228 


+ 1.5 


296,478 


318.826 


+7.5 


86,785 


87,620 


+ 1.0 














+31.6 
















12,857 


11,813 


-8.1 


4.896 


4,974 


+ 1.6 


1,946 


1,881 


-3.3 


691 


544 


-21.3 




352,949 


380,457 


+7.8 


59,961 


58,383 


-2.6 


41,554 


46,891 


+ 12.8 




7.135 




Property crime 2 


1,159,970 


1,148,732 


-1.0 


416,800 


396,562 


4.9 


333,453 


359,157 


+7.7 


101,759 


102,261 


+.5 




1,512,919 


1,529,189 


+ 1.1 


476,761 


454,945 


4.6 


375,007 


406,048 


+8.3 


109,030 


109,396 








Other assaults 


322,197 


444,413 


+37.9 


46,985 


57,682 


+22.8 


54,939 


79,899 


+45.4 


12,932 


17,008 


+31.5 


Forgery and counterfeiting 


47,916 


45,953 


4.1 


4,755 


4,299 


-9.6 


23.213 


23,347 


+.6 


2,264 


2,090 


-7.7 


Fraud 


139,288 


146,151 


+4.9 


14.010 


12,891 


-8.0 


93,381 


110,519 


+ 18.4 


3,804 


4,156 


+9.3 


Embezzlement 


4,732 


5,989 


+26.6 


392 


385 


-1.8 


2,049 


3,380 


+65.0 


141 


244 


+73.0 


Stolen property; buying, receiving, 


























possessing 


88,421 


90,802 


+2.7 


22,637 


23,060 


+ 1.9 


11,421 


11,542 


+ 1.1 


2,278 


2,271 


-.3 


Vandalism 


155,291 


173,351 


+ 11.6 


70,183 


74,507 


+6.2 


16,089 


20,593 


+28.0 


6,331 


7,531 


+ 19.0 


Weapons, carrying, possessing, etc 


128,863 


133,472 


+3.6 


18,047 


21,127 


+ 17.1 


10,543 


10,675 


+ 1.3 


1,273 


1,439 


+ 13.0 


Prostitution and commercialized vice 


26,392 


31,883 


+20.8 


724 


673 


-7.0 


67,243 


60,364 


-10.2 


1,623 


1,328 


-18.2 


Sex offenses (except forcible rape and 




















































Drug abuse violations 


424,253 


546,293 


+28.8 


55,389 


53,418 


-3.6 


67,243 


92,664 


+37.8 


10,821 


8,920 


-17.6 


Gambling 


24,924 


20,091 


-19.4 


754 


522 


-30.8 


3,089 


4,287 


+38.8 


42 


33 


-21.4 


Offenses against family and children 


32,745 


34,681 


+ 5.9 


843 


1,459 


+73.1 


3,984 


6,286 


+57.8 


504 


882 


+75.0 
























2,471 




























Drunkenness 


859,734 


658,417 


-23.4 


25,990 


20,557 


-20.9 


79,149 


64,616 


-18.4 


4,416 


3,700 


-16.2 


Disorderly conduct 


396,073 


401,592 


+ 1.4 


58,236 


58,707 


+.8 


73,032 


91,410 


+25.2 


13,018 


13,347 


+2.5 


Vagrancy 


25,653 


25,842 


+.7 


2,668 


1,792 


-32.8 


3,525 


3,239 


-8.1 


533 


372 


-30.2 


All other offenses (except trafTic) 


1,489,525 


1,723,787 


+ 15.7 


223.610 


196,886 


-12.0 


265,204 


314,733 


+ 18.7 


55,168 


51,472 


-6.7 


Suspicion (not included in totals) 


6,669 


5,356 


-19.7 


1,859 


1,744 


-6.2 


1,145 


1,069 


-0.6 


445 


453 


+ 1.8 


Curfew and loitering law violations 


54,472 


47,455 


-12.9 


54,472 


47,455 


-12.9 


15,192 


15,968 


+ 5.1 


15,192 


15,968 


+5.1 


Runaways 


40,602 


50,785 


+25.1 


40,602 


50,785 


+25.1 


56,034 


69,692 


+24.4 


56,034 


69,692 


+24.4 


'Violent crimes are offenses of murder 


forcible ra 


pe, robbery 


and aggrav 


ated assault 


















Property crimes are offenses of burgla 


ry, larceny- 


heft, motor 


vehicle the 


ft, and arso 



















Table 31. — Total Arrest Trends, 1985-1986 

[9,650 agencies; 1986 estimated population 186,631,000] 





Number of persons arrested 


Offense charged 


Total all ages 


Under 15 years of age 


Under 18 years of age 


18 years of age and over 


1985 


1986 


change' 


1985 


1986 


change 


1985 


1986 


cha^e 


1985 


1986 


change' 




9,502,035 


9,944,411 


+4.7 


541,569 


513,923 


-5.1 


1,625,843 


1,672,992 


+2.9 


7,876,192 


8,271,419 








Murder and nonnegligent 

manslaughter 

Forcible rape 
Robbery .... 
Aggravated assault 

Burglary 

Larceny- theft 


14,824 
29,603 
113,446 
243,747 
355,859 
1,085,886 
107,768 
15,224 


15,488 
29,850 
120,877 
282,307 
359,010 
1,134,607 
124,364 
14,828 


+4.5 
+.8 
+6.6 
+ 15.8 
+.9 
+4.5 
+ 15.4 
-2.6 


161 
1,555 
7,357 
10,570 
50,993 
156,057 
10,245 
4,093 


156 
1,470 
6,448 
10,415 
45,069 
149,835 
11,601 
3,704 


-3.1 

-5.5 
-12.4 

-1.5 
-11.6 

^t.O 
+ 13.2 

-9.5 


1,243 
4,496 
28,382 
33,895 
135,600 
357,431 
40,768 
6,420 


1,357 
4,645 
27,358 
36,197 
128,901 
363,667 
48.636 
6,045 


+9.2 
+3.3 
-3.6 
+6.8 
-4.9 
+ 1.7 
+ 19.3 
-5.8 


13,581 
25,107 
85,064 
209,852 
220,259 
728,455 
67,000 
8,804 


14,131 
25,205 
93,519 
246,110 
230,109 
770,940 
75.728 
8,783 


+4.0 

+9.9 
+ 17.3 
+4.5 
+5.8 


Arson 


-.2 


Violent crime 1 

Property crime" 1 


401,620 
1,564,737 


448,522 
1,632,809 


+ 11.7 
+4.4 


19,643 
221,388 


210^209 


-5.9 
-5.0 


68,016 
540,219 


69,557 
547,249 


+2.3 
+ 1.3 


333,604 
1,024,518 


378,965 
1.085,560 


+ 13.6 
+6.0 




1,966.357 


2,081,331 


+5.8 


241,031 


228,698 


-5.1 


608,235 


616,806 


+ 1.4 


1,358,122 


1,464,525 










510,147 

69,498 

266,574 

9,205 

102,742 
205,012 
145,601 

95.956 

80,913 
653,626 
25.719 
41,505 
1,391,389 

433,812 
781,722 
514,460 
29,116 
1,985,764 
6,314 
63,869 
129,048 


571,816 
73,205 

276,169 
10,032 

109,281 
213,879 
154,537 

94,415 

80,697 
666,132 
24,860 
43,332 
1,390,597 

469,317 
750,887 
532,109 
32,615 
2,167,486 
6,500 
69,721 
131,993 


+ 12.1 
+ 5.3 
+3.6 
+9.0 

+6.4 
+4.3 
+6.1 

-1.6 

-.3 
+ 1.9 
-3.3 

-.1 

+8.2 
-3.9 
+3.4 
+ 12.0 
+9.2 
+2.9 
+9.2 
+2.3 


29,052 

1,172 

7,171 

109 

7,351 
48,124 
6,689 

220 

6,249 

12,167 

174 

1,128 

359 

8,808 
2,848 
22,488 
667 
71,942 
991 
18,586 
55,234 


29.249 

1,046 

6,686 

49 

7,216 
43,392 
6,194 

239 

5,877 
9,042 

103 
1,227 

442 

3!l67 

21,538 
501 

67,356 
729 

18,549 

53,672 


+ .7 
-10.8 
-6.8 
-55.0 

-1.8 
-9.8 

-7.4 

+8.6 

-6.0 
-25.7 
^(0.8 

+8.8 
+23.1 

+9.9 
+ 11.2 

^t.2 
-24.9 

-6.4 

-26.4 

-.2 

-2.8 


77,025 

7,298 

17,416 

638 

25,755 
92,300 
23,855 

2,211 

13.600 
74,791 
697 
2,237 
18,537 

106,201 
22.316 
73,661 
2,614 
263,539 
2,385 
63,869 
129,048 


82,608 

6,956 

17,545 

679 

27,430 
91,355 
24,376 

2,125 

13,240 
66,024 
595 
2,406 
21,681 

125,269 
25,361 
78.915 
2,439 
265,468 
2,204 
69,721 
131,993 


+7.2 
^t.7 
+.7 
+6.4 

+6.5 
-1.0 

+2.2 

-3.9 

-2.6 
-11.7 
-14.6 

+7.6 
+ 17.0 

+ 18.0 
+ 13.6 
+7.1 
-6.7 
+ .7 
-7.6 
+9.2 
J 2.3 


433,122 

62,200 

249,158 

8,567 

76,987 
112,712 
121,746 

93,745 

67,313 
578,835 
25,022 
39,268 
1,372,852 

327,611 
759,406 
440,799 
26,502 
1,722,225 
3,929 


489,208 

66,249 

258,624 

9,353 

81.851 
122,524 
130,161 

92,290 

67.457 
600,108 
24,265 
40,926 
1,368,916 

344,048 
725,526 
453,194 
30,176 
1,902,018 
4,296 




Forgery and counterfeiting 

Embez?lcment 

Stolen property; buying, receiving, 


+6.5 
+ 3.8 
+9.2 






Weapons; carrying, possessing, etc. 
Prostitution and commercialized 


+6.9 
-1.6 


Sex offenses (except forcible rape 
and prostitution) 

Drug abuse violations 

Gambling 

Offenses against family and children 

Driving under the influence 

Liquor laws 

Drunkenness 


+ .2 
+3.7 
-3.0 
+4.2 

-.3 

+5.0 
^t.5 


Vagrancy ... 

All other offenses (except traffic) 
Suspicion (not included in totals) 
Curfew and loitering law violations,. 


+ 13.9 
+ 10.4 
+9.3 






'Violent crimes are offenses of m 
Property crimes are offenses of 
'Includes arson. 

172 


urder, forcib 
urglary, lar 


le rape, rob 
-eny-theft. n 


bery, and ag 


gravated ass 
theft, and 


ault. 

















rable 32. — Total Arrest Trends, Sex, 1985-1986 

;9,650 agencies; 1986 estimated population 186,631,000] 





Males 


Females 


Offense charged 


Total 


Under 18 


Total 


Under 18 




1985 


1986 


cha^e' 


1985 


1986 


change 


1985 


1986 


££ 


1985 


1986 


Chang": 


TOTAL 


7.853,969 


8,213,475 


+4.6 


1,263,237 


1,299,152 


+2.8 


1,648,066 


1,730,936 


+5.0 


362.606 


373,840 


+3.1 






Murder and nonnegligent 


























manslaughter 


12.995 


13,565 


+4.4 


1,128 


1,265 


+ 12.1 


1,829 


1,923 


+ 5.1 


115 


92 


-20.0 


"orcible rape 


29,293 


29,518 


+.8 


4.409 


4,558 


+ 3.4 


310 


332 


+7.1 


87 


87 




Jobbery 


104,831 


111.411 


+6.3 


26,445 


25,460 


-3.7 


8,615 


9,466 




1,937 


1,898 


-2.0 


Vggravated assault 


210,959 


244.938 


+ 16.1 


28,641 


30,610 


+6.9 


32,788 


37,369 


+ R0 


5,254 


5,587 


+6.3 


burglary 


328.927 


330,399 


+ .4 


125,654 


119,116 


-5.2 


26,932 


28.611 


+6.2 


9,946 


9,785 


-1.6 


^arceny-theft 


749,678 


785,756 


+4.8 


260,473 


266,600 


+2.4 


336,208 


348.851 


+ 3.8 


96,958 


97,067 




vlotor vehicle theft 


97.676 


112,620 


+ 15.3 


36,141 


43,368 


+20.0 


10,092 


11.744 


+ 16.4 


4,627 


5,268 


+ 13 9 


Vrson 


13,223 


12.787 


-3.3 


5.813 


5,443 


-6.4 


2,001 


2,041 


+2.0 


607 


602 


-.8 


Violent crime 1 


358,078 


399,432 


+ 11.5 


60,623 


61,893 


+2.1 


43,542 


49,090 


+ 12.7 


7,393 


7,664 


+3.7 


Property crime 2 


1,189,504 


1,241,562 


+4.4 


428,081 


434,527 


+ 1.5 


375,233 


391,247 


+4.3 


112,138 


112,722 


+ .5 


Crime Index total 3 


1,547,582 


1,640,994 


+6.0 


488.704 


496,420 


+ 1.6 


418,775 


440,337 


+5.1 


119,531 


120,386 


+.7 


)ther assaults 


431,902 


485,028 


+ 12.3 


59,270 


63,830 


+7.7 


78,245 


86,788 


+ 10.9 


17.755 


18,778 


+ 5.8 


^orgery and counterfeiting 


46,391 


48.426 


+4.4 


4,971 


4,688 


-5.7 


23,107 


24,779 


+7.2 


2,327 


2,268 


-2.5 




153,243 


156,598 


+2.2 


13,488 


13,238 


-1.9 


113,331 


119,571 


+5.5 


3,928 


4,307 


+9.6 


embezzlement 


5,917 


6.325 


+6.9 


446 


400 


-10.3 


3,288 


3,707 


+ 12.7 


192 


279 


+45.3 


tolen property; buying, receiving, 


























possessing 


90,670 


96,819 


+6.8 


23,287 


24,899 


+6.9 


12,072 


12,462 


+ 3.2 


2,468 


2,531 


+2.6 


Vandalism 


184,821 


191,395 


+ 3.6 


84,578 


83,043 


-1.8 


20,191 


22,484 


+ 11.4 


7.722 


8,312 


+7.6 


Veapons; carrying, possessing, etc 


134,640 


143,096 


+6.3 


22,260 


22,798 


+2.4 


10,961 


11.441 


+4.4 


1,595 


1,578 


-1.1 


rostitution and commercialized 


























vice 


29.380 


32,596 


+ 10.9 


689 


727 


+ 5.5 


66,576 


61,819 


-7.1 


1,522 


1,398 


-8.1 


ex offenses (except forcible rape and 


























prostitution) 


74.823 


74,200 


-.8 


12,512 


12,279 


-1.9 


6,090 


6,497 


+6.7 


1,088 


961 


-11.7 


)rug abuse violations 


563,463 


570,062 


+ 1.2 


63,728 


56,587 


-11.2 


90,163 


96,070 


+6.6 


11,063 


9,437 


-14.7 


jambhng 


21.800 


20,529 


-5.8 


665 


556 


-16.4 


3,919 


4,331 


+ 10.5 


32 


39 


+21.9 


•ffenses against family and children 


36,069 


36,664 


+ 1.6 


1,433 


1,486 


+3.7 


5,436 


6,668 


+22.7 


804 


920 


+ 14.4 


Jnving under the influence 


1.229,758 


1,230,252 





16,058 


18,782 


+ 17.0 


161,631 


160,345 


-.8 


2,479 


2,899 


+ 16.9 


iquor laws 


364,306 


390,582 


+7.2 


78,369 


93,055 


+ 18.7 


69,506 


78,735 


+ 13.3 


27,832 


32,214 


+ 15.7 


drunkenness 


712,362 


683,899 


^4.0 


18,692 


21,508 


+ 15.1 


69,360 


66,988 


-3.4 


3 624 


3,853 


+6.3 


)lsorderly conduct 


416,898 


434,403 


+4.2 


59,508 


64,175 


+7.8 


97,562 


97,706 




14,153 


R740 


+4.1 




25,744 


28,735 


+ 11.6 


2,140 


2,020 


-5.6 


3,372 


3,880 


+ 15J 


474 


419 


-11.6 


Ul other offenses (except traffic) 


1,681,036 


1,835,172 


+9.2 


209,275 


210,961 


+.8 


304,728 


332,314 


+9.1 


54,264 


54,507 


+ 4 


uspicion (not included in totals) 


5.222 


5,420 


+3.8 


1,830 


1,725 


-5.7 


1,092 


1,080 




555 


479 


-13.7 


Curfew and loitenng lav. violations 


48,111 


51,954 


+8.0 


48,111 


51,954 


+ 8.0 


15,758 


17,767 


+ 12.7 


15,758 


17,767 


+ 12.7 


.unaways 


55,053 


55.746 


+ 1.3 


55,053 


55,746 


+ 1.3 


73,995 


76,247 


+3.0 


73,995 


76,247 


+3.0 



Violent ci 
Property 
'includes ; 



[10,743 agencies; 1986 estimated 


population 


98,488,000] 




























Total 


Ages 


Ages 


Ages 


Age 


Offense charged 


all 
ages 


under 


18 


18 and 


Under 
10 


10-12 


13-14 


15 


16 


17 


18 


1") 


20 


21 


TOTAL 


10,392,177 


536,609 


1,747,675 


8,644,502 


46,408 


126,809 


363,392 


333,648 


416,663 


460,755 


494,197 


492,884 


481,996 


482,72- 


Percent distribution 1 


100.0 


5.2 


16.8 


83.2 


4 


1.2 


3.5 


3.2 


4.0 


4.4 


4.8 


4.7 


4.6 


4. 


Murder and nonnegligent 






























manslaughter 


16,066 


156 


1,396 


14.670 


7 


15 


134 


245 


443 


552 


729 


790 


802 


77 


Forcible rape 


31,128 


1,514 


4,798 


26,330 


77 


297 


1,140 


982 


1,121 


1,181 


1,220 


1,272 


1,344 


1,43 


Robbery 


124,245 


6,615 


27.987 


96,258 


199 


1,244 


5,172 


5,792 


7,334 


8,246 


8,227 


7,791 


7,163 


7.10 


Aggravated assault 


293,952 


10,816 


37,528 


256,424 


781 


2,517 


7.518 


6,934 


9,251 


10,527 


10,884 


11,268 


12,078 


12,98 


Burglary 


375,544 


47,080 


134,823 


240,721 


4,201 


11,727 


31,152 


27,367 


30,032 


30,344 


28,510 


23,858 


19,717 


17,57 


Larceny-theft 


1,182,099 


156,033 


378,283 


803,816 


15.238 


45,210 


95,585 


70,640 


77,171 


74,439 


66,530 


56,489 


47,888 


44,77 


Motor vehicle theft 


128,514 


11,961 


50,319 


78,195 


193 


1,360 


10.408 


12,278 


13,797 


12,283 


9,785 


8,073 


6,611 


5,77 




15,523 


3,837 


6,271 


9,252 


1,028 


1,113 


1.696 


954 


784 


696 


655 


549 


484 


44 






Violent crime 2 


465,391 


19,101 


71,709 


393.682 


1,064 


4,073 


13,964 


13,953 


18.149 


20,506 


21,060 


21,121 


21,387 


22,29 


Percent distribution ' 


100.0 




15.4 


84.6 


.2 


.9 


3.0 


3.0 


3.9 


4.4 


4.5 


4.5 


4.6 


4. 


Property crime 3 


1,701,680 


218,911 


569,696 


1,131,984 


20,660 


59,410 


138,841 


111,239 


121,784 


1 17,762 


105,480 


88,969 


74,700 


68,56 


Percent distribution 1 


100.0 


12.9 


33.5 


66.5 


1.2 


3.5 


8.2 


6.5 


7.2 


6.9 


6.2 


5.2 


4.4 


4. 


Crime Index total 4 


2,167,071 


238,012 


641,405 


1,525,666 


21.724 


63,483 


152,805 


125,192 


139,933 


138,268 


126,540 


110,090 


96,087 


90,86 


Percent distribution ' 


100.0 


11.0 


29.6 


70.4 


1.0 


2.9 


7.1 


5.8 


6.5 


6.4 


5.8 


5.1 


4.4 


4. 


Other assaults 


593,902 


30,411 


85,905 


507,997 


2,642 


8,040 


19,729 


16.107 


18,678 


20,709 


20,608 


22,521 


24,562 


26,90 


Forgery and counterfeiting 


76,546 


1,101 


7,234 


69,312 


39 


206 


856 


1,204 


1,937 


2,992 


3,695 


4,202 


4,210 


4,25 


Fraud 


284,790 


6,722 


17,727 


267,063 


178 


1,398 


5,146 


6,028 


1,958 


3,019 


5,765 


8,287 


10,362 


11,93 


Embezzlement 


10,500 


52 


696 


9,804 


1 


9 


42 


61 


205 


378 


494 


563 


515 


50 


Stolen property; buying, receiving, 






























possessing 


114,105 


7,613 


28,739 


85,366 


327 


1,412 


5,874 


5.915 


7,191 


8,020 


8.528 


7,340 


6,447 


5,85 


Vandalism 


223,231 


45,247 


95,479 


127,752 


7,156 


13,872 


24,219 


16,654 


17.145 


16,433 


13,266 


10,853 


9,436 


8,85 


Weapons; carrying, possessing. 






























etc. 


160,204 


6,394 


25,170 


135,034 


244 


1.172 


4,978 


4,893 


6,317 


7,566 


8,572 


8.141 


7.993 


8,02 


Prostitution and commercialized 






























vice 


96,882 


247 


2,192 


94,690 


22 


23 


202 


271 


594 


1.080 


2,916 


4,486 


5,210 


6,6; 


Sex offenses (except forcible rape 






























and prostitution) 


83,934 


6,110 


13,753 


70,181 


558 


1.551 


4,001 


2,611 


2,514 


2,518 


2,517 


2.591 


2,764 


2,8' 


Drug abuse violations 


691,882 


9,374 


68,351 


623,531 


187 


959 


8,228 


12,181 


20,008 


26.788 


34,664 


37,041 


37,808 


39,7< 


Gambling 


25,839 


105 


610 


25,229 


5 


13 


87 


128 


142 


235 


366 


376 


507 


6; 


Offenses against family and 






























children 


47,327 
1,458,531 


1,255 
456 


2.521 
22,749 


44,806 
1,435,782 


632 
147 


167 
33 


456 
276 


432 
945 


433 
5.957 


401 
15,391 


1,155 
33,816 


1,266 
45.632 


1,461 
53,946 


1.6' 


Driving under the influence 


68.5. 


Liquor laws 


490,436 


10,163 


132,335 


358,101 


430 


615 


9,118 


19,264 


40,669 


62,239 


73,733 


58,559 


45,566 


19,9* 


Drunkenness 


777,866 


3,283 


26,589 


751,277 


470 


247 


2.566 


4,245 


7.293 


11,768 


20,197 


23,764 


25,791 


32.31 


Disorderly conduct. . 


564,882 


22,517 


82,986 


481,896 


1,746 


5,384 


15,387 


14,723 


20,413 


25,333 


29,094 


30.745 


30,975 


32,4! 


Vagrancy 


32,992 


539 


2,550 


30.442 


32 


79 


428 


520 


664 


827 


1,552 


1,597 


1.401 




All other offenses (except 






























traffic) 


2,272,589 


70,918 


276,876 


1.995.713 


6,906 


15,289 


48.723 


46,318 


72.400 


87,240 


106,256 


114,469 


116,652 


118.9' 


Suspicion 


7,455 


846 


2,595 


4.860 


98 


172 


576 


617 


600 


532 


463 


361 


303 


2' 


Curfew and loitering law 






























violations 


72,627 


19,260 


72,627 




654 


3,199 


15,407 


16,781 


20.333 


16,253 










Runaways 


138,586 


55,984 


138,586 




2.210 


9,486 


44,288 


38,558 


31,279 


12,765 













See footnotes at end of table. 



174 



Table 33. — Total Arrests, Distribution by Age, 1986 — Continued 





Age 


Offense charged 




23 


24 


25-29 


30-34 


35-39 


40^14 


45-49 


50-54 


55-59 


60-64 


"oJS" 




472,524 
4.5 


459,699 
4.4 


441,062 
4.2 


1.863,945 
17.9 


1,285,311 
12.4 


837,662 
8.1 


485,647 

4.7 


304,888 
2.9 


206,910 
2.0 


145,826 
1.4 


96,739 
.9 












Murder and nonneghgent 

manslaughter 


750 
1.380 
6.604 
13,185 
15,663 
41.452 
5.123 
443 


731 
1.369 
6,332 
13,296 
14,344 
38,656 
4,670 
453 


672 
1,334 
5,716 
13,166 
12,917 
35,948 
4.092 
464 


3.258 
6,202 
23,035 
58.935 
50,213 
155,965 
15,641 
1,852 


2.183 
4,305 
12,998 
41,701 
29,519 
115,503 
8,916 
1,346 


1,542 
2,812 
6,410 
27,630 
15,244 
75,374 
4,719 
981 


902 
1.502 
2,512 
16,067 
6,559 
40,846 
2,336 
591 


542 

911 

1,119 

9.799 

2.931 

25,760 

1,139 

386 


359 

482 
537 
6,256 
1,630 
18,313 
634 
261 


259 
352 
295 
3.996 
979 
14,556 
335 
159 


147 
211 
207 
2.674 
521 
10,688 
183 
92 


233 


Robbery 

Aggravated assault 
Burglary 

Motor vehicle theft 


209 

2,500 

542 

15,078 

164 








21.919 
4.7 

62,681 
3.7 


21.728 
4.7 

58,123 
3.4 


20,888 

53,421 
3.1 


91,430 

223,671 

13.1 


61,187 

13.1 

155.284 

9.1 


38,394 

8.2 

96,318 

5.7 


20.983 

50,332 
3.0 


12.371 
2.7 

30,216 
1.8 


7.634 

1.6 

20,838 

1.2 


4,902 

1.1 

16,029 

.9 


3,239 

.7 

11,484 

.7 




Percent distribution 1 


.7 


Percent distribution' 


.9 


Crime Index total 4 

Percent distribution 1 


84,600 
3.9 


79,851 
3.7 


74.309 
3.4 


315,101 
14.5 


216,471 
10.0 


134,712 
6.2 


71,315 
3.3 


42.587 
2.0 


28,472 
1.3 


20,931 
1.0 


14.723 
.7 


19,017 


Other assaults 

Forgery and counterfeiting 

Embezzlement 

Stolen property, buying, receiving. 


27.957 

4,145 

13,039 

561 

5.194 
7.980 

7.800 

7.241 

3.024 
40,070 

647 

1,893 
72.083 

16,249 
31.635 
30,540 
1.185 

116,420 
261 


28,399 

4,094 

13,263 

555 

4,970 
7,371 

7,469 

7,237 

2,978 

39,369 

741 

1,925 
73,341 

13,621 
31,658 
28,782 
1,280 

112,540 
255 


27,862 

3,923 

13,729 

541 

4,407 
7,034 

6,816 

6.553 

2,973 

38,117 

761 

2,223 
72,882 

11,994 
31,569 
27,049 
1,269 

106,777 
274 


121.141 
16.290 
61,771 
2.140 

17,025 
26,968 

29.355 

26.991 

14.011 

159,240 

3,838 

10.280 
321,068 

41.554 

145,950 

101,530 

5,456 

443.153 
1,083 


83,262 
11,363 
49,527 
1,418 

11,376 
15,954 

19,048 

14,185 

11,113 
98,674 
3,503 

8,991 
230,334 

25.688 
115.618 
64,464 

4,778 

298.913 
631 


52,608 
6,746 

35,373 
1,051 

6,533 
9,089 

12,685 

6,399 

8,499 
53,310 
3,394 

6.590 
162,163 

17,624 
87.775 
39,118 
3.722 

189.870 
401 


29.900 

3,120 

19,932 

637 

3,418 
4,661 

7,244 

2,862 

5,493 
22,125 
2,905 

3,616 
105,562 

11,241 
61,824 
22,574 
2,319 

104.659 
240 


17,299 

1,574 

10,843 

363 

1,805 
2,572 

4.476 

1,459 

3,719 
10,686 
2,287 

71,101 

7,844 
45.091 
14.427 

1,610 

63,185 
112 


10.475 
788 
5,949 
238 

1,046 
1,527 

2,878 

900 

2,483 
5,610 
1,858 

845 
49.221 

5.806 
36,816 
10,083 

1.220 

40.621 
74 


6,488 
446 

3,312 
133 

665 
994 

1,885 

675 

1,998 
3,417 
1,402 

503 
35,395 

3,987 

27,879 

7,714 

798 

27,167 

37 


3.946 

257 

2,132 

61 

418 
573 

1.330 

490 

1,483 
2,066 
991 

253 
22,588 

2,493 

18,072 

6,524 

483 

17,811 
45 


4,065 

202 

1,841 

30 






Weapons; carrying, possessing, 




Prostitution and commercialized vice 

Sex offenses (except forcible rape 


457 






Gambling 

Offenses against family and 

children 

Driving under the influence 

Liquor laws 

Drunkenness 
Disorderly conduct 


1,035 

260 
18,115 

2,177 
15,271 
5,818 


All other offenses (except 

traffic) 

Suspicion 

Curfew and loitering law 


18.276 

23 


Runaways 









Because of rounding, the percentages may no! 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 



Table 34. — Male Arrests, Distribution by Age, 1' 
[10,743 agencies; 1986 estimated population 198,488,000] 





Total 


Ages 


Ages 


Ages 


Age 


Offense charged 








18 and 
























ages 


15 


18 


over 


10 


10-12 


13-14 


15 


16 


17 


18 


19 


20 


21 


TOTAL 


8,586,328 


404,632 


1,356,804 


7,229,524 
84.2 


39,023 


101,299 


264,310 


247,492 


325,388 


379,292 
4.4 


419,130 
4.9 


417,814 
4.9 


407,202 


405,548 


Percent distribution 1 


100.0 


4.7 


15.8 


.5 


1.2 


3.1 


2.9 


3.8 


4.7 


4.7 






Murder and nonnegligent 






























manslaughter 


14,083 


147 


1,303 


12,780 


6 


13 


128 


228 


394 


534 


663 


724 


731 


666 


Forcible rape 


30,780 


1,465 


4,709 


26,071 


73 


283 


1,109 


964 


1,110 


1,170 


1,205 


1.260 


1,337 


1.415 


Robbery 


114,495 


6,050 


26,049 


88,446 


189 


1.157 


4,704 


5,348 


6,880 


7,771 


7,772 


7,325 


6,638 


6,573 


Aggravated assault 


255,176 


8.915 


31,734 


223,442 


689 


2,161 


6.065 


5,790 


7,836 


9.193 


9,648 


9,962 


10,556 


11,377 


Burglary 


345,886 


42,736 


124,652 


221,234 


3,772 


10,656 


28,308 


25,324 


27,963 


28,629 


26,956 


22,496 


18,537 


16,469 


Larceny-theft 


819,754 


116,130 


277,561 


542,193 


12,601 


34.560 


68,969 


50,903 


56,161 


54,367 


48,803 


40,565 


33,472 


31,143 


Motor vehicle theft 


116,348 


10,241 


44,840 


71.508 


173 


1,183 


8,885 


10,795 


12,465 


11,339 


9,092 


7,514 


6,101 


5,343 




13,397 


3,472 


5,646 


7.751 


953 


1,029 


1,490 


839 




627 


594 


487 


428 


395 






Violent crime 1 


414,534 


16,577 


63.795 


350.739 


957 


3,614 


12,006 


12,330 


16,220 


18,668 


19,288 


19,271 


19,262 


20,031 


Percent distribution 1 


100.0 


4.0 


15.4 


84.6 


.2 


.9 


2.9 


3.0 


3.9 


4.5 


4.7 


4.6 


4.6 


4.8 


Property crime 1 


1,295.385 


172,579 


452,699 


842,686 


17,499 


47,428 


107,652 


87,861 


97,297 


94,962 


85,445 


71,062 


58,538 


53,350 


Percent distribution 1 


100.0 


13.3 


34.9 


65.1 


1.4 


3.7 


8.3 


6.8 


7.5 


7.3 


6.6 


5.5 


4.5 


4.1 


Crime Index total 4 


1,709,919 


189,156 


516,494 


1,193,425 


18,456 


51,042 


119,658 


100,191 


113.517 


113,630 


104,733 


90,333 


77,800 


73,381 


Percent distribution 1 


100.0 


11.1 


30.2 


69.8 


1.1 


3.0 


7.0 


5.9 


6.6 


6.6 


6.1 


5.3 


4.5 


4.3 


Other assaults 


503,732 


22,732 


66.371 


437,361 


2,207 


6,327 


14.198 


12,115 


14,618 


16,906 


17,262 


19,040 


20,821 


22,909 


Forgery and counterfeiting 


50,612 


729 


4.875 


45,737 


23 


152 


554 


821 


1,312 


2,013 


2,489 


2,784 


2,790 


2.821 


Fraud 


161,523 


5,010 


13,357 


148,166 


125 


1.061 


3.824 


4,631 


1,510 


2,206 


3,634 


4,945 


5,877 


6,805 


Embezzlement 


6,678 


37 


414 


6,264 




9 


28 


44 


119 


214 


279 


300 


291 


285 


Stolen property; buying, receiving, 






























possessing 


101,069 


6.917 


26,090 


74,979 


302 


1.305 


5.310 


5,393 


6,477 


7,303 


7,758 


6,667 


5,812 


5,237 


Vandalism 


199,882 


41,224 


86,826 


113,056 


6,642 


12,751 


21,831 


15,019 


15.599 


14,984 


12,237 


9,929 


8,501 


7,933 


Weapons; carrying, possessing. 






























e,c 


148,372 


5.909 


23,556 


124.816 


228 


1,104 


4,577 


4.580 


5,929 


7,138 


8,133 


7,721 


7,497 


7,489 


Prostitution and commercialized 






























vice 


33,553 


110 


750 


32,803 


13 


16 


81 


85 


197 


358 


873 


1,157 


1,476 


1,734 


Sex offenses (except forcible rape 






























and prostitution) 


77,278 


5.615 


12,760 


64,518 


496 


1.405 


3.714 


2,434 


2,333 


2,378 


2,278 


2,302 


2,449 


2,507 


Drug abuse violations 


591,806 


7.424 


58,490 


533,316 


161 


733 


6.530 


10.268 


17,308 


23,490 


30,625 


32,433 


32,925 


34,481 


Gambling 


21,390 


96 


570 


20,820 


5 


12 


79 


122 


128 


224 


316 


324 


404 


483 


Offenses against family and 






























children 


40,250 


721 


1,569 


38.681 


358 


106 


257 


261 


287 


300 


955 


1,049 


1,201 


1.418 


Driving under the influence 


1,290.900 


365 


19,731 


1,271,169 


122 


30 


213 


787 


5,052 


13,527 


30,040 


40,598 


48,041 


60,684 


Liquor laws 


407,942 


6,158 


98,295 


309,647 


352 


367 


5,439 


12,629 


30,027 


49,481 


61,428 


50,167 


39,832 


17.543 


Drunkenness 


708,317 


2.406 


22,539 


685,778 


429 


184 


1,793 


3,357 


6,242 


10,534 


18,525 


21,835 


23,794 


29.630 


Disorderly conduct 


461,975 


17,412 


67,526 


394.449 


1,460 


4,347 


11,605 


11,635 


16,928 


21,551 


24,830 


25,951 


25,805 


26,787 


Vagrancy 


29,052 


439 


2,097 


26.955 


26 


66 


347 


408 


538 


712 


1.326 


1,340 


1,170 


1,120 


All other offenses (except traffic) 


1,923,173 


53,873 


219,762 


1,703,411 


5,409 


12,375 


36.089 


34,931 


58,006 


72,952 


91,001 


98,622 


100,457 


102.039 


Suspicion 


6,217 


659 


2,044 


4,173 


75 


148 


436 


461 


477 


447 


408 


317 


259 


262 


Curfew and loitering law 






























violations 


54,087 


13,829 


54,087 




549 


2,495 


10,785 


12,072 


15,334 


12,852 










Runaways 


58.601 


23,811 


58,601 




1,585 


5,264 


16,962 


15,248 


13,450 


6.092 













See footnotes at end of table. 



176 



Table 34. — Male Arrests, Distribution by Age, 1986 — Continued 





Age 


Offense charged 
























65 and 




" 


23 


24 


25-29 


30-34 


35-39 


40-44 


45-49 


50-54 


55-50 


60-64 


TOTAL 


393,165 


380,718 


365,087 


1,539,556 


1,065,227 


701,306 


409,283 


259,072 


178,324 


126,586 


83,496 


78,010 


Percent distribution' 


4.6 


4.4 


4.3 


17.9 


12.4 


8.2 


4.8 


3.0 


2.1 


1.5 


1.0 


.9 


Murder and nonnegligent 


























manslaughter 


672 


648 


602 


2.806 


1,876 


1,334 


753 


446 


302 


226 


123 


208 


Forcible rape 


1,371 


1.355 


1.324 


6,138 


4,245 


2,784 


1.490 


908 


475 


351 


210 


203 


Robbery 


6,112 


5,780 


5,212 


20,847 


11,805 


5,875 


2.312 


1.034 


497 


274 


196 


194 


Aggravated assault 


11,519 


11.546 


11,409 


50,941 


36,029 


24,050 


14,028 


8,612 


5,519 


3,595 


2.390 


2,261 


Burglary 


14,421 


13,205 


11,800 


45,512 


26,525 


13,659 


5,814 


2,584 


1,436 


875 


460 


485 


Larceny-theft 


27,824 


25,846 


24,108 


103,017 


77,762 


51,456 


26,794 


16,475 


11,242 


8,770 


6,203 


8,713 


Motor vehicle theft 


4,709 


4,217 


3,674 


14,097 


8.077 


4,293 


2.131 


1,032 


588 


318 


168 


154 


Arson 


375 


384 


386 


1,538 


1,109 


786 


466 


312 


214 


124 


78 


75 


Violent crime 2 


19,674 


19,329 


18,547 


80.732 


53.955 


34.043 


18,583 


11,000 


6,793 


4,446 


2,919 


2,866 


Percent distribution 


4.7 


4.7 


4.5 


19.5 


13.0 


8.2 


4.5 


2.7 


1.6 


1.1 


.7 


.7 


Property crime 1 


47,329 


43.652 


39,968 


164,164 


113,473 


70.194 


35.205 


20,403 


13,480 


10.087 


6,909 


9,427 


Percent distribution 1 


3.7 


3.4 


3.1 


12.7 


8.8 


5.4 


2.7 


1.6 


1.0 


.8 


.5 


.7 


Crime Index total 4 


67,003 


62.981 


58,515 


244,896 


167.428 


104.237 


53 788 


31,403 


20,273 


14,533 


9,828 


12,293 


Percent distribution 1 


3.9 


3.7 


3.4 


14.3 


9.8 


6.1 


3.1 


1.8 


1.2 


.8 


6 


.7 


Other assaults 


23,805 


24,251 


23,842 


104,641 


72,423 


45.826 


25,873 


15,005 


9,075 


5,664 


3,426 


3,498 


Forgery and counterfeiting 


2,667 


2,593 


2,475 


10,506 


7,444 


4,625 


2,143 


1,115 


584 


340 


209 


152 


Fraud 


7,285 


7.214 


7.417 


33,193 


26,198 


19,219 


11,457 


6,285 


3,732 


2,251 


1,464 


1,190 


Embezzlement 


345 


345 


324 


1,351 


974 


713 


445 


256 


187 


104 


36 


29 


Stolen property; buying. 


























receiving, possessing 


4,581 


4.353 


3,869 


14,650 


9,707 


5.605 


2,974 


1.596 


930 


590 


360 


290 


Vandalism 


7.065 


6,488 


6,196 


23.544 


13.891 


7,897 


3.981 


2,195 


1,313 


859 


502 


525 


Weapons; carrying, possessing. 




























7.233 


6,878 


6,249 


26.876 


17.427 


11.618 




4,115 


2,640 


1,760 


1.241 


1,259 


J rostitulion and commercialized 




























1.817 


1,914 


1,798 


8,075 


5,344 


3.324 


1,978 


1,181 


798 


574 


385 


375 


Sex offenses (except forcible rape 


























and prostitution) 


2,607 


2.597 


2.616 


12,418 


10,245 


8,051 


5,312 


3,634 


2,436 


1,961 


1,454 


1,651 


Drug abuse violations 


34,385 


33,532 


32,216 


134,243 


83,182 


45,721 


19.116 


9,331 


4,984 


2,980 


1,799 


1,363 


Gambling 


524 


575 


605 


3,106 


2,831 


2,681 


2,366 


1,890 


1,604 


1,245 


898 


968 


Offenses against family and 


























children 


1,632 


1.610 


1.901 


8,905 


7,818 


5,763 


3,190 


1,604 


729 


447 


229 


230 


Driving under the influence 


63,719 


64.722 


64,252 


283,319 


203,218 


142,867 


92,834 


62,866 


44,290 


32,273 


20,694 


16,752 


liquor laws 


14.284 


11.989 


10,596 


36,288 


22,402 


15,463 


9,790 


6,836 


5,160 


3,623 


2,282 


1,964 
14,556 


Drunkenness 


28.761 


28.597 


28.496 


131,222 


104,471 


79,918 


56,628 


41,519 


34,464 


26.205 


17.157 


Disorderly conduct 


24.649 


22,843 


21,654 


80,211 


52,138 


32.474 


19.085 


12,229 


8,693 


6,591 


5,486 


5,023 


Vagrancy 


992 


1.090 


1.082 


4,729 


4.322 


3,421 


2,148 


1,502 


1.115 


753 


458 


387 


All other offenses (except traffic) 


99,581 


95,932 


90.754 


376,466 


253,234 


161,543 


89,287 


54,408 


35,253 


23,802 


15.544 


15,488 


Suspicion 


230 


214 


230 


917 


530 


340 


208 


102 


64 


31 


44 


17 


Curfew and loitering lav, 


























violations 


























lunaways 



























Because of rounding, the percentages may not add to total. 

^Violent crimes are offenses of murder, forcible rape, robbery, and aggravated ass 
^Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and 
'Iru hides arson. 





Total 


Ages 


Ages 


Ages 










Age 


Offense charged 


ages 


under 


18 


'over"" 


Under 


■ CM2 


13-14 


1= 


16 


17 


18 


19 


20 


21 


TOTAL 


1,805,849 


131,977 


390,871 
21.6 


1,414,978 

78.4 


7,385 


25,510 


99,082 

5.5 


86,156 


91,275 
5.1 


81,463 
4.5 


75,067 
4.2 


75,070 
4.2 


74,794 
4.1 


77,176 
4.3 


Percent distribution' 


100.0 


7.3 


.4 


1.4 


4.8 






Murder and nonnegligent 






























manslaughter 


1.983 


9 


93 


1,890 


1 


2 


6 


17 


49 


18 


66 


66 


71 


105 


Forcible rape 


348 


49 


89 


259 


4 


14 


31 


18 


11 


U 


15 


12 


7 


16 


Robbery 


9,750 


565 


1,938 


7.812 


10 


87 


468 


444 


454 


475 


455 


466 


525 


530 


Aggravated assault 


38,776 


1,901 


5,794 


32,982 


92 


356 


1,453 


1.144 


1,415 


1,334 


1,236 


1.306 


1,522 


1.612 


Burglary 


29,658 


4,344 


10.171 


19,487 


429 


1,071 


2,844 


2,043 


2,069 


1,715 


1,554 


1,362 


1,180 


1.105 


Larceny-theft 


362,345 


39,903 


100,722 


261,623 


2,637 


10,650 


26,616 


19,737 


21,010 


20,072 


17,727 


15.924 


14.416 


13,627 


Motor vehicle theft 


12,166 


1,720 


5,479 


6,687 


20 


177 


1,523 


1,483 


1,332 


944 


693 


559 


510 


431 


Arson 


2,126 


365 


625 


1.501 


75 


84 


206 


115 


76 


69 


61 


62 


56 


53 


Violent cnme ; 


50,857 


2,524 


7.914 


42 943 


107 


459 


1,958 


1,623 


1,929 


1838 


1,772 


1,850 


2.125 


2,263 


Percent distribution 1 


100.0 


5.0 


15.6 


84.4 


.2 


.9 


3.9 


3.2 


3.8 


3.6 


3.5 


3.6 


4.2 


4.4 


Property crime' 


406,295 


46,332 


116,997 


289,298 


3,161 


11,982 


31,189 


23,378 


24,487 


22,800 


20,035 


17.907 


16,162 


15,216 


Percent distribution 1 


100.0 


11.4 


28.8 


71.2 


.8 


2.9 


7.7 


5.8 


6.0 


5.6 


4.9 


4.4 


4.0 


3.7 


Crime Index total 4 


457,152 


48,856 


124,911 


332,241 


3,268 


12.441 


33,147 


25,001 


26,416 


24,638 


21,807 


19,757 


18,287 


17,479 


Percent distribution 1 


100.0 


10.7 


27.3 


72.7 


.7 


2.7 


7.3 


5.5 


5.8 


5.4 


4.8 


4.3 


4.0 


3.8 


Other assaults 


90,170 


7,679 


19,534 


70,636 


435 


1,713 


5,531 


3,992 


4,060 


3,803 


3,346 


3,481 


3,741 


3.995 


Forgery and counterfeiting 


25,934 


372 


2,359 


23,575 


16 


54 


302 


383 


625 


979 


1.206 


1,418 


1,420 


1,436 


Fraud 


123,267 


1,712 


4.370 


118,897 


53 


337 


1,322 


1,397 


448 


813 


2,131 


3,342 


4,485 


5.133 


Embezzlement 


3,822 


15 


282 


3.540 


1 




14 


17 


86 


164 


215 


263 


224 


219 


Stolen property, buying, receiving, 






























possessing 


13,036 


696 


2.649 


10.387 


25 


107 


564 


522 


714 


717 


770 


673 


635 


622 


Vandalism 


23,349 


4,023 


8,653 


14.696 


514 


1,121 


2,388 


1.635 


1,546 


1,449 


1,029 


924 


935 


926 


Weapons; carrying, possessing. 






























etc. 


11,832 


485 


1,614 


10.218 


16 


68 


401 


313 


388 


428 


439 


420 


496 


531 


Prostitution and commercialized 






























vice 


63.329 


137 


1,442 


61,887 


9 


7 


121 


186 


397 


722 


2,043 


3,329 


3,734 


4,895 


Sex offenses (except forcible rape 






























and prostitution) 


6.656 


495 


993 


5,663 


62 


146 


287 


177 


181 


140 


239 


289 


315 


363 


Drug abuse violations 


100,076 


1,950 


9,861 


90,215 


26 


226 


1.698 


1,913 


2,700 


3,298 


4.039 


4,608 


4,883 


5,311 


Gambling 


4,449 


9 


40 


4,409 




1 


8 


6 


14 


11 


50 


52 


103 


135 


Offenses against family and 






























children 


7,077 


534 


952 


6,125 


274 


61 


199 


171 


146 


101 


200 


217 


260 


279 


Driving under the influence 


167,631 


91 


3,018 


164.613 


25 


3 


63 


158 


905 


1,864 


3,776 


5,034 


5,905 


7.851 


Liquor laws 


82,494 


4,005 


34.040 


48,454 


78 


248 


3,679 


6,635 


10,642 


12.758 


12,305 


8,392 


5,734 


2.422 


Drunkenness 


69,549 


877 


4.050 


65,499 


41 


63 


773 


888 


1,051 


1.234 


1,672 


1,929 


1,997 


2,737 


Disorderly conduct 


102,907 


5,105 


15.460 


87,447 


286 


1,037 


3.782 


3,088 


3,485 


3,782 


4,264 


4,794 


5.170 


5,672 


Vagrancy 


3,940 


100 


453 


3,487 


6 


13 


81 


112 


126 


115 


226 


257 


231 


23C 


All other offenses (except traffic) 


349,416 


17.045 


57,114 


292,302 


1.497 


2,914 


12,634 


11,387 


14,394 


14,288 


15,255 


15,847 


16,195 


16.905 


Suspicion 


1,238 


187 


551 


687 


23 


24 


140 


156 


123 


85 


55 


44 


44 


35 


Curfew and loitering law 






























violations 


18.540 


5,431 


18,540 




105 


704 


4,622 


4,709 


4,999 


3,401 










Runaways 


79,985 


32.173 


79,985 




625 


4,222 


27.326 


23,310 


17.829 


6,673 















Sec iontnnlcs . 



178 



Table 35. — Female Arrests, Distribution by Age, 1986 — Continued 





Age 


Offense charged 
























"over" 




22 


23 


24 


25-20 


30-34 


35-39 


40-44 


45-49 


50-54 


55-59 


60-64 


TOTAL 


79,359 


78,981 


75,975 


324,389 


220,084 
12.2 


136,356 

7.6 


76,364 
4.2 


45 816 


28,586 
1.6 


19,240 
1.1 


13,243 

.7 


14,478 


Percent distribution 1 




4.4 


4.2 


18.0 


2.5 






Murder and nonnegligent 


























manslaughter 


78 


83 


70 


452 


307 


208 


149 


96 


57 


33 


24 


25 


Forcible rape 


9 

492 


552 


10 
504 


2,188 


60 
1,193 


28 
535 


12 
200 


3 
85 


7 
40 


1 

21 


1 




Robbery . 


15 


Aggravated assault 


1.666 


1,750 
1,139 


1,757 


7,994 
4,701 


5,672 


3,580 
1,585 


2,039 


1,187 
347 




401 
104 


284 
61 


239 

57 


Burglary 


1.242 


1.117 


2,994 


745 


194 


Larceny-theft 


13,628 


12.810 


11.840 


52,948 


37,741 


23,918 


14.052 


9,285 


7,071 


5,786 


4,485 


6,365 


Motor vehicle theft 


414 


453 


418 


1,544 


839 


426 


205 


107 


46 


17 


15 


10 


Arson 


68 


69 


78 


314 


237 


195 


125 


74 


47 


35 


14 


13 


Violent crime 2 


2.245 


2,399 


2.341 


10,698 


7,232 


4.351 


2,400 


1,371 


841 


456 


320 


279 


Percent distribution' 


4.4 


4.7 


4.6 


21.0 


14.2 


8.6 


4.7 


2.7 


1.7 


.9 


.6 


.5 


Property crime' 


15.352 


14,471 


13,453 


59,507 


41,811 


26,124 


15,127 


9,813 


7,358 


5,942 


4,575 


6,445 


Percent distribution 1 


3.8 


3.6 


3.3 


14.6 


10.3 


6.4 


3.7 


2.4 


1.8 


1.5 


1.1 


1.6 


Crime Index total 4 


17,597 


16,870 


15.794 


70,205 


49,043 


30.475 


17,527 


11,184 


8,199 


6,398 


4,895 


6,724 


Percent distribution' 


3.8 


3.7 


3.5 


15.4 


10.7 


6.7 


3.8 


2.4 


1.8 


1.4 


1.1 


1.5 


Other assaults 


4,152 


4,148 


4,020 


16,500 


10,839 


6,782 


4,027 


2,294 


1,400 


824 


520 


567 


Forgery and counterfeiting 


1,478 


1,501 


1,448 


5,784 


3,919 


2,121 


977 


459 


204 


106 


48 


50 


Fraud 


5.754 


6.049 


6,312 


28,578 


23,329 


16,154 


8,475 


4,558 


2,217 


1,061 


668 


651 


Embezzlement 


216 


210 


217 


789 


444 


338 


192 


107 


51 


29 


25 


1 


Stolen property; buying, 


























receiving, possessing 


613 


617 


538 


2,375 


1,669 


928 


444 


209 


116 


75 


58 


45 


Vandalism 


915 


883 


838 


3,424 


2,063 


1.192 


680 


377 


214 


135 


71 


90 


Weapons; carrying, possessing. 


























etc. 


567 


511 


567 


2,479 


1,621 


1,067 


564 


361 


238 


125 


89 


63 


Prostitution and commercialized 


























vice 


5,424 


5,323 


4.755 


18.916 


8,841 


3,075 


884 


278 


102 


101 


105 


82 


Sex offenses (except forcible rape 


























and prostitution) 


417 


381 


357 


1,593 


868 


448 


181 


85 


47 


37 


29 


14 


Drug abuse violations 


5.685 


5,837 


5,901 


24.997 


15,492 


7.589 


3,009 


1,355 


626 


437 


267 


179 


Gambling ...... 


123 


166 


156 


732 


672 


713 


539 


397 


254 


157 


93 


67 


Offenses against family and 


























children 


261 


315 


322 


1,375 


1,173 


827 


426 


244 


116 


56 


24 


30 


Driving under the influence 


8,364 


8,619 


8,630 


37,749 


27,116 


19,296 


12.728 


8,235 


4,931 


3,122 


1,894 


1,363 


Liquor laws.... 


1.965 


1.632 


1,398 


5,266 


3,286 


2,161 


1.451 


1,008 


646 


364 


211 


213 


Drunkenness 


2,874 


3,061 


3.073 


14,728 


11,147 


7,857 


5,196 


3,572 


2,352 


1.674 


915 


715 


Disorderly conduct 


5,891 


5,939 


5,395 


21,319 


12,326 


6,644 


3,489 


2,198 


1,390 


1,123 


1,038 


795 


Vagrancy 


193 


190 


187 


727 


456 


301 


171 


108 


105 


45 


25 


35 


All other offenses (except traffic) 


16,839 


16,608 


16.023 


66,687 


45,679 


28.327 


15,372 


8,777 


5,368 


3,365 


2,267 


2,788 


Suspicion 


31 


41 


44 


166 


101 


61 


32 


10 


10 


6 


1 


6 


Curfew and loitering law 


























violations 


























Runaways 



















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 arsor 
'Includes arson. 



Table 36. — Total Arrests of Persons 

[10,743 agencies; 1986 estimated population 



IS, 18, 21 and 25 Years of Age, 1986 
8,000] 





Total 
all 
ages 


Number of persons arrested 


Percent of total all ages 


Offense charged 


Under 15 


Under 18 


Under 21 


Under 25 


Under 
15 


Under 

18 


Under 
21 


Under 

25 




10,392,177 


536,609 


1,747,675 


3,216,752 


5,072,761 


5.2 


16.8 


31.0 










16,066 
31,128 
124,245 
293,952 
375.544 
1,182,099 
128,514 
15,523 


156 
1,514 
6,615 
10,816 
47,080 
156,033 
11,961 
3,837 


1,396 
4,798 
27,987 
37,528 
134,823 
378,283 
50,319 
6,271 


3,717 
8,634 
51,168 
71,758 
206,908 
549,190 
74,788 
7,959 


6,641 
14.148 
76,923 
124,394 
267,406 
710,016 
94,447 
9,767 


1.0 
4.9 
5.3 
3.7 
12.5 
13.2 
9.3 
24.7 


8.7 
15.4 
22.5 
12.8 
35.9 
32.0 
39.2 
40.4 


23.1 
27.7 
41.2 
24.4 
55.1 
46.5 
58.2 
51.3 








Robbery 


61.9 
























465,391 
1,701,680 


19,101 
218,911 


71,709 
569,696 


135,277 
838,845 


222,106 
1,081,636 


4.1 
12.9 


15.4 
33.5 


29.1 
49.3 














2,167,071 


238,012 


641,405 


974,122 


1,303,742 


11.0 


29.6 


45.0 










593,902 
76.546 
284,790 
10.500 
114.105 
223,231 
160,204 

96,882 
83,934 
691,882 
25.839 
47,327 
1,458,531 

490,436 
777,866 
564,882 
32,992 
2,272,589 
7,455 
72,627 
138,586 


30,411 
1,101 
6,722 
52 
7,613 

45,247 
6,394 

247 
6,110 
9.374 

105 
1,255 

456 

10,163 
3,283 
22,517 

539 
70,918 

846 
19,260 
55,984 


85,905 
7,234 
17,727 
696 
28,739 
95,479 
25,170 

2,192 

13,753 

68,351 

610 

2,521 
22,749 

132,335 
26,589 
82,986 
2,550 
276,876 
2,595 
72,627 
138,586 


153,596 
19,341 
42,141 
2,268 
51,054 

129,034 
49,876 

14,804 
21,625 
177,864 
1,859 
6,403 
156,143 

310,193 
96,341 
173,800 
7,100 
614,253 
3,722 
72,627 
138,586 


264.718 
35,760 
94,110 
4,429 
71,484 

160,278 
79,981 

42,464 
33,470 

335,212 
4,626 
14,141 

442,984 

372,022 
223.570 
292,630 
12,184 
1,068,934 
4,809 
72,627 
138,586 


5.1 
1.4 
2.4 
.5 
6.7 
20.3 
4.0 

.3 

7.3 
1.4 

2.7 
C) 

.4 
4.0 

3.1 
11.3 
26.5 
40.4 


14.5 
9.5 
6.2 
6.6 
25.2 
42.8 
15.7 

2.3 
16.4 

2.4 
5.3 
1.6 

27.0 
3.4 
14.7 
7.7 
12.2 
34.8 
100.0 
100.0 


25.9 
25.3 
14.8 
21.6 
44.7 
57.8 
31.1 

15.3 
25.8 
25.7 
7.2 
13.5 
10.7 

63.2 
12.4 
30.8 
21.5 
27.0 
49.9 
100.0 
100.0 












Embezzlement .... 


42.2 
62.6 








Prostitution and commercialized vice 

Sex offenses (except forcible rape and prostitution) 


43.8 
39.9 
48.4 
17.9 
29.9 
30.4 

75.9 
28.7 
51.8 
36.9 
47.C 
64.5 
100.C 
100.C 










Drunkenness 






Curfew and loitering law violations 

Runaways 


'Violent crimes are offenses of murder, forcible rape, rob 
Property crimes are offenses of burglary, larceny-theft, m 
'includes arson, 
4 Less than one-tenth of 1 percent. 

180 


ery, and aggrav 
otor vehicle the 


ited assault, 
t, and arson. 

















able 37. — Total Arrests, Distribution by Sex, 1986 

10,743 agencies- 1986 estimated population 198,488,000] 



Offense charged 


Number of persons arrested 


Percent 


Percent 
female 


Percent distribution 1 


Total 


Male 


Female 


Total 


Male 


Female 




10,392,177 


8,586,328 


1,805,849 


82.6 


17.4 


100.0 


100.0 








urder and nonnegligent manslaughter 

orcihle rape 


16,066 
31,128 
124,245 
293,952 
375,544 
1,182,099 
128,514 
15,523 


14,083 
30,780 
1 14.495 
255,176 
345,886 
819,754 
116.348 
13,397 


1,983 
348 
9,750 
38,776 
29,658 
362,345 
12,166 
2.126 


87.7 
98.9 
92.2 
86.8 
92.1 
69.3 
90.5 
86.3 


12.3 
1.1 
7.8 

13.2 
7.9 

30.7 
9.5 

13.7 


.2 
.3 
1.2 
2.8 
3.6 
11.4 
1.2 
.1 


.2 

1.3 
3.0 
4.0 
9.5 
1.4 
.2 


( 2 ) 




























465,391 
1,701,680 


414,534 
1,295,385 


50,857 
406,295 


89.1 
76.1 


10.9 
23.9 


4.5 
16.4 


4.8 
15.1 












Cnme Index total 5 


2,167.071 


1,709,919 


457.152 


78.9 


21.1 


20.9 


19.9 


25.3 




593.902 
76,546 
284,790 
10,500 
114,105 
223,231 
160,204 

96,882 
83,934 
691,882 
25,839 
47,327 
1,458,531 

490,436 
777,866 
564.882 
32,992 
2,272,589 
7,455 
72,627 
138,586 


503,732 
50,612 
161,523 
6,678 
101,069 
199,882 
148.372 

33.553 
77,278 
591,806 
21,390 
40,250 
1,290,900 

407.942 
708.317 
461,975 
29,052 
1,923,173 
6,217 
54,087 
58,601 


90.170 
25.934 
123.267 
3,822 
13.036 
23,349 
11,832 

63.329 
6,656 

100,076 
4.449 
7.077 

167,631 

82,494 
69,549 
102,907 
3,940 
349,416 
1,238 
18,540 
79,985 


84.8 
66.1 
56.7 
63.6 
88.6 
89.5 
92.6 

34.6 
92.1 
85.5 
82.8 
85.0 
88.5 

83.2 
91.1 
81.8 
88.1 
84.6 
83.4 
74.5 
42.3 


15.2 
33.9 
43.3 
36.4 
11.4 
10.5 
7.4 

65.4 

14.5 
17.2 
15.0 
11.5 

16.8 
8.9 
18.2 
11.9 

15.4 
16.6 
25.5 
57.7 


5.7 
.7 
2.7 
.1 
1.1 
2.1 
1.5 

.9 
.8 

6.7 

.2 

.5 

14.0 

4.7 
7.5 
5.4 
.3 
21.9 

.7 
1.3 


5.9 
.6 
1.9 
.1 
1.2 
2.3 
1.7 

.9 
6.9 
.2 
.5 
15.0 

4.8 
8.2 
5.4 
.3 

22.4 

.6 

.7 
























eapons; carrying, possessing, etc. 

rostitution and commercialized vice 

x offenses (except forcible rape and prostitution) 

rug abuse violations 

ambling 

Tenses against family and children 

riving under the influence 


.7 

3.5 
.4 

5.5 
.2 
.4 

9.3 






















urfew and loitering law violations 


1.0 







Because of 
2 Less than o 
'Violent cnrr 
"Property en 
■Includes ars 



unding. the percentages may not add to total. 

-tenth of 1 percent 

, are offenses of murder, forcible rape, robbery, and aggravated ass 

es are offenses of burglary, larceny-theft, motor vehicle theft, and ; 



181 



Table 38. — Total Arrests, Distribution by Race, 1986 

[10,699 agencies; 1986 estimated population 197,663,000] 





Total arrests 


Percent distribution 1 


Offense charged 


Total 


White 


Black 


American 

Alaskan 
Native 


Pacific 
Islander 


Total 


White 


Black 


American 

Native 


Asian 

or 
Pacific 
Islander 




10,335,942 


7,370,777 


2,788,934 


106,926 


69,305 


100.0 


71.3 


27.0 


1.0 








Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 


15,953 
30,777 
123,649 
293,121 
374,081 
1,179,482 
127,749 
15,440 


8,028 
16,012 
45,746 
172.220 
258,326 
799,908 
81.196 
11,651 


7,659 
14,357 
76,678 
116,700 
110,482 
354,489 
44,317 
3,640 


146 

240 

578 

2,498 

2,879 

13,184 

1,128 

77 


120 

168 

647 

1,703 

2,394 

11,901 

1,108 

72 


100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


50.3 
52.0 
37.0 
58.8 
69.1 
67.8 
63.6 
75.5 


48.0 
46.6 
62.0 
39.8 
29.5 
30.1 
34.7 
23.6 


1 


9 
8 

5 
9 

s 

5 












VI rime 2 


463,500 
1,696,752 


242,006 
1,151,081 


215.394 
512,928 


3.462 
17,268 


2,638 

15,475 


100.0 
100.0 


52.2 
67.8 


46.5 
30.2 


.7 
1.0 














2,160,252 


1,393,087 


728,322 


20,730 


18,113 


100.0 


64.5 


33.7 


1.0 








Other assaults 


591,372 
76,442 
284,903 
10,495 
113,430 
222,615 
159,391 

96,564 
83,736 
688.815 
25,385 
46,071 
1,440,862 

487,930 
772,861 
560,888 
32,974 
2,262,963 
7,444 
72,088 
138,461 


388,404 
50,731 

188,700 
7,356 
69,838 

174,663 

102,744 

57,836 
65,368 
463,457 
12,879 
30,455 
1,277,912 

427,626 
616,200 
380,682 
22,048 
1,463,752 
5,663 
54,717 
116,659 


193,386 
24,906 
93,968 

3,023 
42,423 
44,330 
54,767 

37,440 
17,095 

219,159 
11,701 
14,892 

139,596 

47,798 
137,043 
172,301 
9,700 
761.114 
1,706 
15,769 
18.495 


5,683 
411 

1,192 
41 
632 

2,065 
769 

462 
796 
2,930 
13 
513 
15,189 

9,708 
17,959 
6,200 
1,038 
18,629 
46 
535 
1,385 


3,899 
394 

1,043 
75 
537 

1,557 

1,111 

826 
477 

3,269 
792 
211 

8,165 

2,798 
1,659 
1,705 
188 
19,468 
29 
1,067 
1,922 


100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


65.7 
66.4 
66.2 
70.1 
61.6 
78.5 
64.5 

59.9 
78.1 
67.3 
50.7 
661 
88.7 

87.6 
79.7 
67.9 
66.9 
64.7 
76.1 
75.9 
84.3 


32.7 
32.6 
33.0 
28.8 
37.4 
19.9 
34.4 

38.8 
20.4 
31.8 
46.1 
32.3 
9.7 

9.8 
17.7 
30.7 
29.4 
33.6 
22.9 
21.9 
13.4 


1.0 
.5 
.4 
.4 
.6 
.9 
.5 

.5 
1.0 
.4 

1.1 
1.1 

2.0 
2.3 

3.1 
.8 

.7 








Embezzlement 
















Sex offenses (except forcible rape and prostitution) 




Gambling 


3 














Disorderly conduct 

Vagrancy 

























■t mites at end of table. 



182 



ble 38. — Total Arrests, Distribution by Race, 1986 — Continued 





Arrests under 18 


Percent distribution' 


Offense charged 


Total 


White 


Black 


American 
Indian 

Alaskan 
Native 


Asian 

Pacific 
Islander 


Total 


White 


Black 


American 
Indian 

Alaskan 
Native 


Asian 

Pacific 
Islander 




1,742,300 


1,302,881 


405,771 


14,570 


19,078 


100.0 


74.8 


23.3 


.8 










1,395 
4,716 
27,834 
37,406 
134,294 
377,645 
49,888 
6,248 


689 
2,167 
9,165 
21.134 
101,626 
270,764 
32,513 
5,286 


671 
2,495 
18,347 
15,717 
30,341 
97,356 
16,195 

894 


13 
27 
93 
272 
1,066 
4,270 
542 
36 


22 
27 
229 
283 
1,261 
5,255 
638 
32 


100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


49.4 
45.9 
32.9 
56.5 
75.7 
71.7 
65.2 
84.6 


52.9 
65.9 
42.0 
22.6 
25.8 
32.5 
14.3 


.9 

.3 
.7 
.8 

.6 












»ravated assault 




elarv 














.5 


VI 


71.351 
568,075 


33,155 
410,189 


37,230 
144,786 


405 
5,914 


561 
7,186 


100,0 
100,0 


46.5 
72.2 


52.2 
25.5 


.6 
1.0 














639,426 


443,344 


182,016 


6,319 


7,747 


100.0 


69.3 


28.5 


1.0 








assaults 


85,703 
7,229 
17,721 
695 
28,669 
95,267 
25,104 

2,187 

13.741 

67,455 

610 

2.518 
22,580 

132,059 
26,517 
82,850 
2,545 
276,280 
2.595 
72,088 
138,461 


55,952 
5,997 
8,862 
516 
18,179 
79,306 
17,184 

1,361 

10,101 

48,662 

198 

1,838 
21.659 

126,089 

24,326 
61,318 
2,188 
202,306 
2,119 
54,717 
116,659 


28,024 
1,135 
8,563 
176 
10,112 
14,379 
7.543 

780 
3.459 
17,936 
355 
658 
598 

3,789 
1.729 
20,751 
318 
68,737 
449 
15,769 
18,495 


662 
46 

1 

153 
694 
115 

19 
85 
274 

7 

1,536 
401 
477 
19 
1,546 
14 
535 
1,385 


1,065 
51 
252 
2 
225 
888 
262 

27 
96 
583 
57 
15 
85 

645 

61 

304 

20 

3,691 

13 

1,067 

1,922 


100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


65.3 
83.0 
50.0 
74.2 
63.4 
83.2 
68.5 

62.2 
73.5 
72.1 
32.5 
73.0 
95.9 

95.5 
91.7 
74.0 
86.0 
73.2 

75.9 
84.3 


32.7 
15.7 
48.3 
25.3 
35.3 
15.1 
30.0 

35.7 
25.2 
26.6 
58.2 
26.1 
2.6 

2.9 
6.5 
25.0 
12.5 
24.9 
17.3 
21.9 
13.4 


.8 
.6 

.2 
.1 
.5 
.7 
.5 

.9 
.6 




gery and counterfeiting 

ud 

bezzlement 

en property; buying, receiving, possessing 

dalism 

apons; carrying, possessing, etc 

stitution and commercialized vice 

offenses (except forcible rape and prostitution) 

g abuse violations 

nbling 


.7 
1.4 
.3 
.8 
.9 
1.0 

1.2 
.7 
.9 


.3 
1.1 

1.2 
1.5 
.6 
.7 
.6 
.5 
.7 
1.0 













































See footnotes at end of table, 



Table 38. — Total Arrests, Distribution by Race, 1986 — Continued 



Arrests 18 and over 



Percent distribution 



Offense charged 



Murder and nonneghgent 
Forcible rape 
Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 



14,558 
26.061 
95,815 
255,715 
239,787 
801,837 
77.861 
9,192 



7,339 
13,845 
36,581 
151,086 
156,700 
529,144 
48,683 
6,365 



11,862 

58,331 
100,983 

80,141 
257,133 

28,122 
2,746 



485 
2,226 



Violent crime 2 
Property crane- 



Other assaults 

Forgery and counterfeiting 

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 loilenng law violations 
Runaways 



505,669 
69,213 

267,182 
9,800 
84,761 

127,348 

134,287 



24,775 

43.553 

1,418,282 

355.871 
746.344 
478,038 
30.429 



332.452 
44,734 

179,838 
6,840 
51,659 
95,357 
85,560 



56,475 
55,267 
414,795 
12,681 
28,617 
1,256,253 

301,537 
591,874 
31 
19,860 



261,' 



165,362 
23,771 
85,405 
2,847 
32,31 
29,951 
47,224 

36,660 
13,636 

201,223 



44.009 
135,314 
151,550 
9,382 
692,377 
1,257 



8,172 
17,558 
5,723 
1.019 
17,083 
32 



'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. 



39. — Total Arrests, Distribution by Ethnic Origin, 1986 

agencies; 1986 estimated population 176,840,000] 





Total all ages 


Offense charged 


Number of arTests 


Percent distribution 




Total 


Hispanic 


Non- 
Hispanic 


Total 


Hispanic 


Non- 
Hispanic 


TOTAL 


9,222,574 


1,172,609 


8,049,965 


100.0 


12.7 


87.3 




rder and nonnegligent manslaughter 


13,86 


2,182 


11,679 


100.0 


15.7 




cible rape 


26,502 


3,054 


23,448 


100.0 


11.5 


88.5 


'bery 


107,437 


14.987 


92,450 


100.0 


13.9 




iravated assault 


253.795 


38,759 


215.036 


100.0 


15.3 


84.7 


glary 


322,847 


47,466 


275,381 


100.0 


14.7 


85.3 


ceny-theft 


1,028,86* 


123,821 


905,043 


100.0 


12.0 




tor vehicle theft ...... 


113,642 


18,472 


95,170 


100.0 


16.3 


83.7 


on 


13,674 


1,068 


12,606 


100.0 


7.8 


92.2 


Violent crime 1 


401,595 


58,982 


342,613 


100.0 


14.7 




Property crane 2 


1.479,027 


190,827 


1,288,200 


100.0 


12.9 


87.1 




1,880,622 


249,809 


1,630.813 


100.0 


13.3 






86.7 


er assaults 


538,228 


50,477 


487,751 


100.0 


9.4 




gery and counterfeiting 


68.348 


4,612 


63,736 


100.0 


6.7 


93.3 




259,373 


10,375 


248,998 


100.0 










jezzlement 


9,805 


514 


9,291 


100.0 


5.2 


94.8 


en property, buying, receiving, possessing 


102,028 


14,733 


87,295 


100.0 






dalism 


206,864 


17,644 


189,220 


100.0 


8.5 


91.5 


pons; carrying, possessing, etc 


138,869 


21,043 


117,826 


100.0 


15.2 


84.8 


titution and commercialized vice 


84,824 


8,530 


76,294 


100.0 






offenses (except forcible rape and prostitution) 


74,569 


8,582 


65,987 


100.0 






g abuse violations 


611,414 


121,422 


489,992 


100.0 


19.9 


80.1 


lbhng 


22,273 


5,519 


16,754 


100.0 


24.8 




nses against family and children 


40,206 


2,052 


38,154 








ing under the influence 


1,313,726 


186,220 


1,127,506 


100.0 


14.2 


85.8 


or laws 


451,620 


39.564 


412,056 


100.0 


8.8 


91.2 


nkenness 


711.143 


142,129 


569,014 


100.0 


20.0 




rderly conduct 


503,152 




455,277 

26,183 

1,757,047 

6,287 


100.0 
100.0 
100.0 
100.0 


9.5 
14.9 
11.1 
10.2 


90.5 
85.1 


ancy 


4,585 
219,622 

715 




1,976,669 

7,002 


icion 




ew and loitering law violations 


65,663 


5,649 


60,014 


100.0 


8.6 


91.4 


aways 


125,408 


10,938 


114,470 


100.0 


8.7 


91.3 



185 



Table 39. — Total Arrests, Distribution by Ethnic Origin, 1986 — Continued 



Offense charged 



Non- 
Hispanic 



Percent distribution 



TOTAL 

Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 
Aggravated assault 

Burglary 

Larceny-theft. 

Motor vehicle theft 

Arson 

Violent crime 1 

Property crime 2 

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 

See footnotes at end of table. 



1,237 
3,959 
24,916 
31,794 
115,892 
331,852 
44,316 
5,723 



123,949 
24,' 
76,446 
2,378 
244.669 
2,390 
65,663 
125,408 



379 


3.580 


3,626 


21,290 


4,697 


27,097 


16,074 


99,818 


35.908 


295,944 


6,324 


37,992 


463 


5,260 


8,972 


52,934 


58,769 


439,014 



.1750 


22,264 


8,013 


80,414 


3,978 


18,632 


163 


1,718 


1,364 


11,188 


11,620 


49,755 


54 


463 


217 


2,182 


2,564 


18,395 


7,212 


116,737 


6,215 


18,273 


8,473 


67,973 


277 


2,101 


32,716 


211,953 


240 


2.15C 


5,649 


60,014 


10,938 


1 14,470 



100.0 
100.0 
100.0 
100.C 



100.0 
100.0 
100.0 
100.0 



able 39. — Total Arrests, Distribution by Ethnic Origin, 1986 — Continued 



18 years of age and 



Percent distributic 



urder and nonnegligent manslaughter 
ircible rape 

ibbery 

jgravated assault 

irglary 

irceny-thefl 

otor vehicle thefl 



Violent ci 
Propeny 



ibezzlement 

lien properly, buying, receiving, possessing 

ndalism 

sapons; carrying, possessing, etc. 

Mtitution and commercialized vice 

( offenses (except forcible rape and prostitut 

ug abuse violations 

imblmg 

fenses against family and children 

iving under the influence 

juor laws 

unkenness 

sorderly conduct 

grancy 

1 other offenses (except traffic) 

micion 

rfew and loilenng law violations 

inaways 



12.624 
22,543 
82,521 
222.001 
206,955 
697,012 
69,326 
7.951 



82,943 
62,017 
550,039 
21,756 
37,807 
1,292.767 

327,671 
686,655 
426,706 
28,390 
1.732,000 
4,612 



34.062 
31,392 
87,913 



8,367 
7,218 
109,802 
5,465 
1,835 



32,352 
135,914 
39,402 



187.939 
175,563 
609,099 
57,178 
7,346 



419,216 
57,555 

235,476 
8,727 
65,031 

108,806 
99,194 

74.576 
54,799 

440,237 
16,291 
35.972 

,109,111 

295,319 
550,741 

387.304 



100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



Violent ci 
Includes 



aggravated assault. 



Table 40. — City Arrest Trends, 1985-1986 

[6,522 agencies; 1986 estimated population 128,359,000] 



TOTAL 

Murder and nonneghgent tnanslaughti 
Forcible rape . 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 



Crime Index total 



Oilier assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, possessing 

Vandalism 

Weapons; carrying, possessing, etc 

Prostitution and commercialized vice 

Sen offenses (except forcible rape and prostiti 

Drug abuse violations 

Gambling 

Offenses against family and children 
Driving under the influence 

Liquor laws ....... 

Drunkenness 
Disorderly conduct 

All other offenses texcepl traffic) 

Suspicion (not included in totals) 

Curfew and loitering law violations 

Runaways 



10,903 
22,528 
97,867 
183,301 
265,125 
920,485 
83,660 
11,304 



11,523 
22,689 
104,554 
215,309 
266,105 
961,149 
97,315 
10,859 



392,466 


442,602 


52.362 


54,600 


146,125 


149,071 


5,805 


6,154 


82,709 


87,922 


165,262 


172,943 


118,474 


125.808 


90,910 


88,909 


60,788 


60.824 


514.829 


530,558 


21,703 


20,829 


19,086 


21,431 


864.510 


864,293 


354,260 


379,647 


666,302 


636,912 


463,405 


477,459 


27,559 


30,971 


540,994 


1,692,878 


5,579 


5,597 


61,817 


67,581 


100,445 


104,227 



Less than one-t 



Number of persons arrested 



Under 18 years of age 



Percent 
change 



Percent 
change 



27,490 
103,284 
311,824 



1,118 
3,738 
24,872 
29,536 
96,945 
315,489 
38,853 
4,674 



9,900 


10,405 


18,901 


18,951 


72,177 


79,682 


155,811 


185,773 


161.841 


169,160 


608,661 


645,660 


51,457 


58,462 


6,282 


6,185 


256,789 


294,811 


828,241 


879,467 



64,175 


68,496 


5,890 


5,520 


16,222 


16.307 


490 


532 


21,998 


23.621 


75.713 


74,760 


20,705 


21.171 


2,116 


2,029 


10,413 


10.142 


62,380 


55,233 


622 


518 


1,879 


2,113 


12,335 


14,601 


85,798 


101.326 


19,334 


22,104 


67,717 


72.045 


2,277 


2,064 


225,539 


225,457 


2.188 


1,925 


61,817 


67,581 


100,445 


104,227 



328,291 


374,106 


46,472 


49,080 


129,903 


132,764 


5,315 


5,622 


60,711 


64,301 


89,549 


98,183 


97,769 


104.637 


88,794 


86,880 


50,375 


50,682 


452,449 


475,325 


21,081 


20,311 


17,207 


19,318 


852,175 


849,692 


268,462 


278,321 


646.968 


614,808 


395.688 


405,414 


25,282 


28,907 


315,455 


1.467,421 


3.391 


3,672 



ible 41. — City Arrest Trends, Sex, 1985-1986 

522 agencies; 1986 estimated population 128,359,000] 





Males 


Females 




Total 


Under 18 


Total 


Under 18 




1985 


1986 


Percent 


1985 


1986 


Percent 
change 


1985 


1986 


Percent 
change 


1985 


1986 


Percent 

change 




6,044,558 


6,341,263 


+4.9 


1,060,955 


1,088,461 


+2.6 


1,300,426 


1,363,859 


+4.9 


307,053 


316,611 


+3.1 




lrder and nonnegligent 


9,574 
22,292 
90,294 
157,735 
244,310 
628,620 
75,832 
9,780 


10,105 
22,439 
96,247 
185,672 
244,147 
658,706 
88,069 
9,346 


+ 5.5 

+.7 

+6.6 

+ 17.7 

+4.8 
+ 16.1 
-4.4 


919 
3,565 
23,923 
23.190 
95,600 
225,403 
28,592 
4,549 


1,042 
3,674 
23.136 
24,844 
89,559 
229,541 
34,666 
4,229 


+ 13.4 
+3.1 
-3.3 
+7.1 
-6.3 
+ 1.8 

+21.2 
-7.0 


1,329 
236 
7,573 
25,566 
20,815 
291,865 
7,828 
1,524 


1,418 
250 
8,307 
29,637 
21,958 
302,443 
9,246 
1.513 


+6.7 
+5.9 
+9.7 

+ 15.9 
+5.5 
+3.6 

+ 18.1 
-.7 


84 
62 
1,767 
4,300 
7,684 
86,421 
3,611 
473 


76 
64 
1,736 
4,692 
7,386 
85,948 
4,187 
445 


-9.5 
+3.2 
-1.8 
+9.1 
-3.9 
-.5 
+ 16.0 
-5.9 


rcible rape 


gravaled assault 

rglary 

rceny-theft 








279,895 
958,542 


314,463 
1,000,268 


+ 12.4 


51,597 
354,144 


52.696 
357,995 


+2.1 
+ 1.1 


34,704 
322,032 


39.612 
335,160 


+ 14.1 

+4.1 


6,213 
98,189 


6,568 
97,966 






-.2 




Crime Index total 1 


1,238,437 


1,314,731 


+6.2 


405,741 


410,691 


+ 1.2 


356.736 


374,772 


+5.1 


104,402 


104,534 


+.1 


ler assaults 


331,510 
34,800 
90,117 
3,548 

72,861 
148,893 
109,325 

27,305 

55,557 
445,157 
18,426 

15.238 
759,083 

298,696 
607,312 
373,654 
24,435 
1,301,442 
4,583 
46,647 
42.115 


375,005 
35,981 
90,915 
3,697 

77,794 
154,570 
116,256 

30,573 

55,271 
455,283 
17,082 

16,522 
760,055 

317,100 
580,319 
388,091 
27,312 
1,430,845 
4,639 
50,439 
43,422 


+ 13.1 
+3.4 

+4.2 

+6.8 
+3.8 
+6.3 

+ 12.0 

+2.3 
-7.3 

+8.4 
+ .1 

+6.2 
-4.4 

+3.9 
+ 11.8 
+9.9 
+ 1.2 
+8.1 
+ 3.1 


49,107 

3,974 

12,745 

336 

19,927 
69,338 
19,308 

654 

9,554 

53,350 

594 

1,178 
10,670 

63.594 
16,158 
54,761 

1,855 
179,349 

1,663 
46,647 
42,115 


52,645 

3,695 

12,423 

308 

21.468 
67,883 
19,795 

698 

9,379 

47,477 

486 

1,261 
12,619 

75,498 
18,748 
58,615 
1,691 
179,220 
1,495 
50,439 
43,422 


+7.2 
-7.0 
-2.5 
-8.3 

+7.7 
-2.1 
+2.5 

+6.7 

-1.8 
-11.0 

-18.2 

+7.0 
+ 18.3 

+ 18.7 
+ 16.0 
+7.0 

-10.1 
+8.1 
+3.1 


60,956 
17.562 
56.008 
2,257 

9,848 
16,369 
9,149 

63,605 

5,231 
69,672 

3,277 

3,848 
105,427 

55,564 
58,990 
89,751 
3,124 
239,552 
996 
15,170 
58,330 


67,597 
18,619 
58.156 
2,457 

10.128 
18.373 
9,552 

58,336 

5,553 

75,275 
3,747 

4,909 
104,238 

62,547 
56,593 
89,368 
3,659 
262,033 
958 
17,142 
60,805 


+ 10.9 
+o.O 
+ 3.8 

+ 8.9 

+2.8 
+ 12.2 
+4.4 

-8.3 

+6.2 
+8.0 
+ 14.3 

+27.6 
-1.1 

+ 12.6 
-AA 
-A 

+ 17.1 
+9.4 
-3.8 

+ 13.0 
+4.2 


15,068 

1,916 

3,477 

154 

2,071 
6,375 
1,397 

1,462 

859 

9,030 

28 

701 
1,665 

22,204 
3,176 
12,956 

422 
46,190 

525 
15,170 
58.330 


15,851 
1,825 
3,884 
224 

2,153 
6,877 
1.376 

1,331 

763 

7,756 

32 

852 
1,982 

25,828 
3,356 
13,430 

373 
46,237 

430 
17,142 
60,805 


+ 5.2 
-4.7 
+ 11.7 
+45.5 

+4.0 
+7.9 
-1.5 

-9.0 

-11.2 
-14.1 
+ 14.3 

+21.5 
+ 19.0 

+ 16.3 
+ 5.7 
+3.7 

-11.6 


ud 

bezzlement 

ien property; buying, receiving, 

ossessing 

ndalism 

apons; carrying, possessing, etc 

stitution and commercialized 

ice 

offenses (except forcible rape and 

ng abuse violations 

mbling 

enses against family and 

lildren 

ving under the influence 

uor laws 

jnkenness 

orderly conduct 

jrancy 


jicion (not included in totals) 


-18.1 
+ 13.0 
+4.2 


naways 



Table 42. — City Arrests, Distribution by Age, 1986 

[7,266 agencies; 1986 estimated population 134,546,000] 





Total 
all 


Ages 
under 


Ages 


Ages 
18 and 


Age 


Offense charged 


Under 
10 




















ages 


15 


18 


over 


10-12 


13-14 


15 


16 


17 


18 


19 


20 


TOTAL 


8,003,325 


458,956 


1,461,997 


6,541,328 


40,168 


110,137 


308,651 


279,514 


346,917 


376,610 


392,747 


387,460 
4.8 


374, 


Percent distribution 1 


100.0 


5.7 


18.3 


81.7 


.5 




3.9 


3.5 


4.3 


4.7 


4.9 








Murder and nonnegligent 




























manslaughter 


11,783 


133 


1,139 


10.644 


5 


11 


117 


198 


357 


451 


566 


603 




Forcible rape 


23,404 


1,251 


3,859 


19,545 


66 


245 


940 


804 


876 


928 


927 


981 


1 


Robbery 


107,045 


6,117 


25,421 
30,518 


81,624 


193 


1,170 


4,754 
6,108 


5,265 


6,687 


7,352 


7,047 


6,642 


6, 


Aggravated assault 


222,344 


8,783 


191,826 


612 


2,063 


5,738 


7,558 


8,439 


8,373 


8,664 


9, 


Burglary 


276,278 


36,297 


100,922 


175,356 


3,246 


9,145 


23,906 


20,718 


22,215 


21,692 


19,700 


16,681 


13, 


Larceny-theft 


998,139 


138,722 


327,725 


670,414 


13,853 


40,740 


84,129 


61.192 


65,810 


62,001 


54,930 


46,549 


39, 


Motor vehicle theft 


99,940 


9,665 


40,047 


59,893 


150 


1,136 


8,379 


9.739 


10,982 


9,661 


7,682 


6,287 


5, 




11,262 


3,022 


4,841 


6,421 


792 


887 


1.343 


722 


598 


499 


461 


337 








Violent crime 2 


364,576 


16,284 


60,937 


303,639 


876 


3,489 


11,919 


12.005 


15,478 


17,170 


16,913 


16,890 


16, 


Percent distribution' 


100.0 


4.5 


16.7 


83.3 


.2 


1.0 


3.3 


3.3 


4.2 


4.7 


4.6 


4.6 




Property crime 3 


1,385,619 


187,706 


473,535 


912,084 


18,041 


51,908 


117,757 


92,371 
6.7 


99,605 
7.2 


93,853 
6.8 


82,773 
6.0 


69,854 
5.0 


58, 


Percent distribution 1 


100.0 


13.5 


34.2 


65.8 


1.3 


3.7 


8.5 




Crime Index total 4 


1,750,195 


203,990 


534,472 


1,215,723 


18,917 


55,397 


129,676 


104,376 


115,083 


111,023 


99,686 


86,744 


75, 


Percent distribution' 


100.0 


11.7 


30.5 


69.5 


1.1 


3.2 


7.4 


6.0 


6.6 


6.3 


5.7 


5.0 




Other assaults 


456,614 


25.883 


70,990 


385,624 


2,281 


6,916 


16,686 


13,452 


15,187 


16,468 


16,015 


17,520 


18, 


Forgery and counterfeiting 


56,645 


910 


5,728 


50,917 


28 


182 


700 


1.002 


1,551 


2,265 


2,765 


3,102 


3. 


Fraud 


151,894 


6,557 


16,429 


135,465 


153 


1,381 


5,023 


5,864 


1,679 


2,329 


3,865 


4,959 


5, 


Embezzlement 


6,343 


43 


545 


5,798 


1 


8 


34 


49 


167 


286 


374 


420 




Stolen property; buying, receiving, 




























possessing 


91.144 


6,800 


24,680 


66,464 


289 


1,279 


5,232 


5,113 


6,073 


6,694 


6,932 


5,816 


5, 


Vandalism 


179,900 


37,992 


78,089 


101,811 


5,999 


11,735 


20,258 


13,622 


13,581 


12,894 


10,296 


8,603 


7, 


Weapons; carrying, possessing, etc. 


129,563 


5,646 


21,820 


107,743 


208 


1,039 


4,399 


4.304 


5.465 


6.405 


7,115 


6,716 


6, 


Prostitution and commercialized 






























90,808 


232 


2,090 


88,718 


20 


22 


190 


258 


562 


1.038 


2,738 


4.229 


4, 


Sex offenses (except forcible rape 




























and prostitution) 


62,798 


4,704 


10,469 


52,329 


437 


1,190 


3,077 


1,980 


1,922 


1,863 


1,892 


1,959 


2, 


Drug abuse violations 


547,961 


7,773 


56,993 


490,968 


150 


778 


6,845 


10,269 


16,847 


22,104 


27,970 


29,646 


29, 


Gambling 


21,239 


97 


528 


20,711 


4 


13 


80 


110 


122 


199 


306 


308 




Offenses against family and 




























children 


22,969 


1,203 


2,204 


20,765 


625 


158 


420 


388 


356 


257 


695 


750 




Driving under the influence 


903,715 


296 


15,375 


888,340 


89 


19 


188 


672 


4,130 


10.277 


22,331 


29,550 


U, 


Llquor laws 


395.875 


8,538 


106,724 


289.151 


352 


494 


7,692 


15,849 


33.004 


49,333 


59.228 


47.004 


if. 


Drunkenness 


654,651 


2,958 


23,038 


631.613 


456 


213 


2,289 


3,737 


6.375 


9,968 


16,375 


19,303 


20, 


Disorderly conduct 


505,042 


20,807 


75,629 


429,413 


1,610 


5,006 


14,191 


13,464 


18,577 


22,781 


25,978 


27,546 


27. 


Vagrancy 


31,204 


442 


2,140 


29,064 


24 


68 


350 


423 


563 


712 


1.445 


1,487 


1, 


All other offenses {except traffic) 


1.760,858 


60,233 


234,255 


1,526,603 


5,909 


13,243 


41,081 


38,260 


61,744 


74.018 


86,332 


91,482 


91, 


Suspicion... 


6,373 


736 


2,265 


4,108 


82 


140 


514 


544 


534 


451 


409 


316 




Curfew and loitering law 




























violations 


70.266 


18,644 


70,266 




645 


3.111 


14,888 


16.231 


19.682 


15.709 








Runaways 


107.268 


44,472 


107,268 




1,889 


7,745 


34,838 


29,547 


23.713 


9.536 











See footnotes al end of table. 



Table 42. — City Arrests, Distribution by Age, 1986 — Continued 





Age 


Offense charged 


21 


22 


23 


24 


25-29 


30-34 


35-39 


40-44 


45-49 


50-54 


55-59 


60-64 


65 and 


TOTAL 


372,885 


361,421 


349,371 


333,468 


1,403,530 


962,230 


619,045 


352,641 

4.4 


221,699 


153,673 
1.9 


110,287 


74,429 
.9 


72,337 


Percent distribution 1 


4.7 


4.5 


4.4 


4.2 


17.5 


12.0 


7.7 


2.8 






Murder and nonnegligent 




























manslaughter 


574 


546 


531 


502 


2,390 


1,588 


1.079 


611 


369 


240 


187 


94 


149 


Forcible rape 


1,088 


1,028 


1.053 


989 


4.773 


3,191 


1.992 


1,039 


646 


317 


238 


138 


138 


Robbery 


6,022 


5,623 


5,306 


4,847 


19.632 


10,973 


5,383 


2,094 


944 


451 


254 


191 


183 


Aggravated assault 


9,939 


9.980 


10,036 


9,821 


44,335 


31,290 


20,356 


11.596 


6,968 


4,530 


2,936 


1,953 


1.802 


lurglary 


12,608 


11,255 


10,333 


9,465 


37,573 


22,473 


11.602 


4.906 


2,184 


1.228 


781 


422 


444 


Larcenv-theft 


36,894 


34.390 


31,934 


29,686 


130.086 


96,651 


63,263 


34,013 


21,627 


15,605 


12,582 


9,343 


13,507 


Motor vehicle theft 


4.438 


3,941 


3.544 


3.120 


12,048 


6.752 


3.562 


1,645 


805 


422 


248 


138 


132 


^rson 


302 


322 


312 


330 


1.337 


980 


655 


399 


247 


177 


115 


64 


62 


Violent crime 2 


17.623 


17,177 


16,926 


16,159 


71.130 


47.042 


28,810 


15,340 


8,927 


5,538 


3,615 


2,376 


2,272 


Percent distribution ' 


4.8 


4.7 


4.6 


4.4 


19.5 


12.9 


7.9 


4.2 


2.4 


1.5 


1.0 


.7 


.6 


Property crime 1 


54,242 


49,908 


46.123 


42,601 


181,044 


126,856 


79,082 


40,963 


24,863 


17,432 


13.726 


9,967 


14.145 


Percent distribution 1 


3.9 


3.6 


3.3 


3.1 


13.1 


9.2 


5.7 


3.0 


1.8 


1.3 


1.0 


.7 


1.0 


Crime Index total 4 


71,865 


67,085 


63,049 


58,760 


252,174 


173,898 


107,892 


56.303 


33,790 


22,970 


17,341 


12,343 


16,417 


Percent distribution 1 


4.1 


3.8 


3.6 


3.4 


14.4 


9.9 


6.2 


3.2 


1.9 


1.3 


1.0 


.7 


.9 


Dther assaults 


21,112 


21,829 


21,909 


21,414 


93,215 


63,179 


39.027 


21,523 


12,219 


7.379 


4,602 


2,813 


2,871 


-orgery and counterfeiting 


3.059 


2.978 


3,026 


2,821 


12,096 


8,584 


5,012 


2,151 


1.081 


540 


330 


187 


151 


-raud 


6,421 


6,852 


7,089 


7,236 


31,535 


24,747 


16,746 


8,984 


4,877 


2,506 


1,623 


1,119 


1,072 


Embezzlement 


346 


362 


362 


331 


1.200 


773 


555 


298 


196 


99 


78 


37 


14 


tolen property, buying, receiving. 




























possessing 


4.560 


4.034 


3,861 


3,389 


13,259 


8,866 


4,993 


2,574 


1,300 


767 


480 


305 


266 


/andalism 


7,120 


6,411 


5,883 


5,682 


21,722 


12,857 


7,244 


3.642 


1,973 


1,185 


779 


436 


481 


Weapons; carrying, possessing, etc. . 


6,495 


6,301 


5,995 


5,397 


23,420 


15.108 


9,901 


5,556 


3,375 


2.217 


1,471 


1,089 


1,051 


'restitution and commercialized 




























vice 


6,287 


6.833 


6,860 


6,169 


25,384 


13,207 


5,899 


2,609 


1,311 


814 


610 


461 


422 


ex offenses (except forcible rape 




























and prostitution) 


2.214 


2,356 


2,313 


2,310 


10,937 


8,306 


6,080 


3,834 


2,619 


1.773 


1,437 


1,030 


1.146 


Drug abuse violations 


31,600 


31.564 


30,842 


29,736 


124,473 


77,396 


42,012 


17,217 


8,360 


4,438 


2,753 


1,737 


1,233 


jambling 


505 


538 


606 


631 


3,240 


2,867 


2,786 


2,330 


1.839 


1,517 


1,153 


823 


840 


Dffenses against family and 




























children 


894 


947 


937 


1,071 


4,732 


3,916 


2,764 


1,528 


797 


392 


243 


137 


158 


Driving under the influence 


43,805 


45,547 


46,014 


45,711 


200,771 


140,893 


97,771 


63,101 


42.590 


29.668 


21,206 


13,767 


10,967 


-iquor laws 


16.230 


13,097 


11,138 


9,735 


33,435 


21,003 


14,513 


9,099 
52.814 


6.265 
38,649 


4,707 


3,191 


1,968 


1,598 


Drunkenness 


26,627 


25.790 


25,922 


25,851 


121,627 


97,249 


74,705 


32,102 


24.565 


15,849 


13,507 


Disorderly conduct 


29,191 


27,542 


25,805 


24,228 


90,838 


57,256 


34,353 


19,473 


12,347 


8,805 


6,835 


6,026 


5,302 


/agrancy 


1,262 


1.110 


1,208 


1.213 


5,195 


4,589 


3,584 


2,240 


1,572 


1,196 


778 


468 


408 


W\ other offenses (except traffic) 


93,034 


90,022 


86.337 


81,556 


333,350 


227,003 


142,874 


77.160 


46.467 


30,541 


20,782 


13,798 


14.415 


uspicion 


258 


223 


215 


227 


927 


533 


334 


205 


72 


57 


30 


36 


18 


Durfew and loitering law 
























































Runaways 







Because of rounding, the percenlages may not add to total. 
■Violent crimes are offenses of murder, forcible rape, robbery, 
'Property crimes are offenses of burglary, larceny-theft, motor 
includes arson. 



Table 43. — City Arrests of Persons under IS, 18, 21, and 25 Years of Age, 1986 
[7,266 agencies; 1986 estimated population 134,546,000] 





Total 
all ages 


Number of persons arrested 


Percent of total all ages 


Offense charged 


Under 15 


Under 18 


Under 21 


Under 25 


Under 
15 


Under 
18 


Under 
21 


Under 

25 




8,003,325 


458,956 


1,461,997 


2,616,309 


4,033,454 


5.7 


18.3 


32.7 










11,783 
23,404 
107,045 
222,344 
276,278 
998,139 
99,940 
11,262 


133 
1,251 
6,117 
8,783 
36,297 
138,722 
9,665 
3,022 


1,139 
3,859 
25.421 
30,518 
100,922 
327,725 
40,047 
4,841 


2,923 
6,774 
45,142 
56,802 
151,004 
468,558 
59,145 
5,960 


5,076 
10,932 
66,940 
96,578 
194,665 
601,462 
74,188 
7,226 


5.3 
5.7 
4.0 
13.1 
13.9 
9.7 
26.8 


9.7 
16.5 
23.7 
13.7 
36.5 
32.8 
40.1 
43.0 


24.8 
28.9 
42.2 
25.5 
54.7 
46.9 
59.2 
52.9 








Robbery 


62. 














Arson ... 


64. 


Violent crime 1 

Property crime 2 


364.576 
1,385,619 


16,284 
187,706 


60,937 
473,535 


111,641 
684,667 


179,526 
877,541 


4.5 
13.5 


16.7 
34.2 


30.6 
49.4 


49. 
63. 


Crime Index total 3 


1.750,195 


203.990 


534,472 


796.308 


1,057,067 


11.7 


30.5 


45.5 


60. 


Other assaults 

Forgery and counterfeiting 

Fraud 

Stolen property, buying, receiving, possessing 
Vandalism 


456.614 
56,645 

151.894 
6.343 
91,144 

179,900 

129,563 

90.808 
62.798 

547,961 
21,239 
22,969 

903.715 

395,875 
654,651 
505,042 
31,204 
1,760,858 
6,373 
70,266 
107.268 


25.883 
910 
6,557 
43 
6,800 
37,992 
5,646 

232 

4,704 

7,773 

97 

1,203 

296 

8,538 
2,958 
20,807 
442 
60,233 
736 
18,644 
44,472 


70.990 
5,728 
16,429 
545 
24,680 
78,089 
21,820 

2.090 

10,469 

56,993 

528 

2,204 
15,375 

106,724 
23,038 
75,629 
2,140 
234,255 
2,265 
70,266 
107,268 


123,522 
14,629 
31.087 
1,692 
42.490 

104,485 
42,187 

13,942 
16.443 
144,600 
1,564 
4.453 
101,904 

249,896 
79,394 
157,041 
6,381 
503,519 
3,238 
70,266 
107,268 


209,786 
26,513 
58,685 
3,093 
58,334 

129,581 
66.375 

40,091 
25.636 
268,342 
3,844 
8,302 
282,981 

300.096 
183,584 
263,807 

11,174 

854,468 

4,161 

70,266 
107,268 


5.7 
1.6 
4.3 
.7 
7.5 
21.1 
4.4 

7.5 
1.4 
.5 
5.2 
( 4 ) 

2.2 
.5 

1.4 
3.4 
11.5 
26.5 
41.5 


15.5 
10.1 
10.8 
8.6 
27.1 
43.4 
16.8 

2.3 
16.7 
10.4 
2.5 
9.6 
1.7 

27.0 
3.5 
15.0 
6.9 
13.3 
35.5 
100.0 
100.0 


27.1 
25.8 
20.5 
26.7 
46.6 
58.1 
32.6 

15.4 
26.2 
26.4 
7.4 
19.4 
11.3 

63.1 
12.1 
31.1 
20.4 
28.6 
50.8 
100.0 
100.0 


45. 
46. 
38. 
48. 
64. 
72. 


Prostitution and commercialized vice 

Sex offenses (except forcible rape and prostitution) 

Drug abuse violations 

Gambling 

Offenses against famiK and children 
Driving under the influence 


44. 
40. 
49. 
18. 
36. 
31. 




28. 




52. 








48. 




65. 




100. 




100. 







Violeni cr 
: Property i 
■Includes ; 



able 44. — City Arrests, Distribution by Sex, 1986 

,266 agencies; 1986 estimated population 134,546,000] 



Offense charged 


Number of persons arrested 


Percent 
male 


Percent 


Percent distribution 1 


Total 


Male 


Female 


Total 


Male 


Female 




8,003,325 


6.588,134 


1,415,191 


82.3 


17.7 


100.0 


100.0 


100.0 




urder and nonnegligent manslaughter 

reible rape 

bbery 


11,783 
23,404 
107,045 
222.344 
276,278 
998,139 
99.940 
11,262 


10.341 
23.149 
98.533 
191,788 
253.693 
684,575 
90,427 
9,707 


1,442 
255 
8.512 
30,556 
22,585 
313,564 
9,513 
1,555 


87,8 

92.0 
86.3 
91.8 

90.5 
86.2 


12.2 

8.0 
13.7 

8.2 
31.4 

9.5 


.3 
1.3 

2.8 
3.5 
12.5 
1.2 

1 


.4 
1.5 
2.9 
3.9 
10.4 
1.4 

.1 


.1 
( ; ) 

.6 
2.2 
1.6 
22.2 

.7 

.1 


rglary 


Dtor vehicle theft 


Violent crime' 

Property crime 4 


364,576 
1,385,619 


323,811 
1,038,402 


40,765 
347,217 


88.8 
74.9 


11.2 

25.1 


17.3 


4.9 
15.8 


2.9 
24.5 




1,750,195 


1,362,213 


387,982 


77.8 


22.2 


21.9 


20.7 


27.4 




ler assaults 

rgery and counterfeiting 

ibezzlement 


456.614 

56,645 

151.894 

6,343 

91.144 
179,900 
129,563 

90,808 
62,798 

547,961 
21,239 
22,969 

903,715 

395,875 
654,651 
505,042 
31.204 
1,760,858 
6,373 
70,266 
107,268 


386,915 
37,300 
92,574 
3,829 
80,595 
160,890 
119.767 

31,215 
57,138 

470,115 
17,440 
17.835 

794.767 

330.625 
596,260 
411,170 
27,496 
1,487,596 
5,276 
52,410 
44,708 


69,699 
19,345 
59,320 

2,514 
10.549 
19,010 

9,796 

59,593 
5,660 
77,846 
3,799 
5,134 
108,948 

65,250 
58.391 
93,872 

3.708 
273,262 

1,097 
17.856 
62,560 


84.7 
65.8 
60.9 
60.4 
88.4 
89.4 
92.4 

34.4 
91.0 
85.8 
82.1 
77.6 
87.9 

83.5 
91.1 
81.4 
88.1 
84.5 
82.8 
746 
41.7 


15.3 
34.2 
39.1 
39.6 
11.6 
10.6 
7.6 

65.6 
9.0 

14.2 
17.9 
22.4 
12.1 

16.5 
8.9 
18.6 
11.9 
15.5 
17.2 
25.4 
58.3 


5.7 
.7 
1.9 

2.2 
1.6 

11 

.8 
6.8 
.3 
.3 
11.3 

8.2 
6.3 

22.0 
1 

.9 
1.3 


5.9 

1.4 

1.2 
2.4 
1.8 

.5 
.9 
7.1 
.3 
.3 
12.1 

5.0 

6.2 

.4 

22.6 

.8 


4.9 
1.4 
4.2 
.2 
.7 




.apons; carrying, possessing, etc 

astitution and commercialized vice 

offenses (except forcible rape and prostitution) 
ug abuse violations 
mbling 


.7 

4.2 

5.5 
.3 






uor laws 
unkenness 
orderly conduct 
grancy 

other offenses (except traffic) 

picion 

rfew and loitering law violations 
naways 


4.6 
4.1 
6.6 
.3 
19.3 

1.3 
4.4 



Because of rounding, the percentages may not add to total. 
2 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 



193 



Table 45. — City Arrests, Distribution by Race, 1986 

[7,251 agencies; 1986 estimated population 133,894,000] 



Percent distribute 



Alaskan 



Murder and nonneghgent manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 

Violent crime 2 

Property crime 3 

Crime Index total 

Other assaults 

Forgery and counterfeiting 

Embezzlement 

Stolen property; buying, receiving, possessing 

Vandalism 

Weapons; carrying, possessing, etc 



Prostitution and commercialized vice 
Sex offenses (except forcible rape and 

prostitution) 

Drug abuse violations 

Gambling 

Offenses against family and children 
Dnving under the influence 



Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) 

Suspicion 

Curfew and loitering law violation 

Runaways 



11,670 
23,062 
106.456 
221,582 
275,107 
996.091 
99.200 
11,182 



6,342 
90,538 
179,457 
128,791 

90,492 

62,638 
545,218 
20,805 
21,764 
900,131 

393,379 
649,812 
501,197 
31,187 
,752,384 
6,364 
69,727 
107,177 



5,037 
10,766 
37,729 
121,587 
180,458 
665,218 
59,104 
8,062 



6,451 
11,990 
67,618 
96,767 
90,619 
308.041 
38,266 

3,004 



285,082 
35,987 
93,973 
4,322 
52,636 

136,703 
78.820 

53,899 

46,633 

350.591 

9,608 

14,113 

787,452 

341,243 



1,065,255 
4,716 
52,771 
88.706 



36,983 
39,597 
48.406 

35,354 

14,932 
189,618 
10,458 
7,222 
98,052 

40,948 
126,860 
163,004 



8,676 
15,407 

5,043 



See 



at end of table. 



45. — City Arrests, Distribution by Race, 1986 — Continued 





Arrests under 18 


Percent distribution 1 


Offense charged 


Total 


White 


Black 


American 

Alaskan 

Native 


Pacific 
Islander 


Total 


White 


Black 


American 

or 
Alaskan 
Native 


Asian 

or 
Pacific 
Islander 




1,457,149 


1,062,173 


366,092 


12,420 


16,464 


100.0 


72.9 


25.1 


.9 








rder and nonnegligent manslaughter 


1,138 
3,778 
25,268 
30,397 
100,417 
327,134 
39,616 
4,819 


494 
1,566 
8,082 
16,369 
72,751 
231,337 
24,440 
3,998 


614 
2,168 
16,885 

13,569 
25,838 
87,124 
14,160 
765 


9 

20 
78 
218 
801 
4,009 
455 
29 


21 
24 
223 
241 
1,027 
4,664 
561 
27 


100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


43.4 
41.5 
32.0 
53.9 
72.4 
70.7 
61.7 
83.0 


54.0 
57.4 
66.8 
44.6 
25.7 
26.6 
35.7 
15.9 


.8 
.5 
.3 
.7 
.8 
1.2 
1.1 


1.8 
































60.581 
471,986 


26,511 
332,526 


33,236 
127,887 


325 
5,294 


6,279 


100.0 
100.0 


43.8 
70.5 


54.9 
27.1 


.5 
1.1 












Crime Index total 4 


532,567 


359,037 


161,123 


5,619 


6.788 


100.0 


67.4 


30.3 


u 


1.3 




70,796 

5,724 

16.423 

544 

24,611 
77.917 
21,754 

2,085 

10,458 
56,258 
528 
2,202 
15.329 

106,449 

22.976 
75,500 

2,135 
233,724 

2,265 
69,727 
107,177 


44,849 

4,655 

7,846 

405 

15.118 
63,413 
14,531 

1,290 

7,306 

39,380 

162 

1,551 
14,649 

101,162 
20,957 
55,088 
1,806 
165,670 
1,821 
52,771 
88,706 


24.510 

994 

8.294 

136 

9,190 
13,098 
6.893 

752 

3,011 

16,185 

313 

634 

452 

3,400 
1.623 
19,775 
293 
63,506 
424 
15,609 
15,877 


553 
32 
37 

124 
602 
101 

16 

60 
213 

170 

1,343 
337 
348 
16 
1,237 
7 
495 
1,105 


884 

43 

246 

2 

179 
804 
229 

27 

480 
53 
13 
58 

544 
59 
289 
20 
3.311 
13 
852 
1,489 


100.0 
100.0 
100.0 

100.0 

100.0 
100.0 

100.0 

100.0 

100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


63.3 
81.3 
47.8 

74.4 

61.4 
81.4 
66.8 

61.9 

69.9 
70.0 
30.7 
70.4 
95.6 

95.0 
91.2 
73.0 
84.6 
70.9 
80.4 
75.7 
82.8 


34.6 
17.4 
50.5 
25.0 

37.3 
16.8 
31.7 

36.1 

28.8 
28.8 
59.3 
28.8 

2.9 

3.2 
7.1 

26.2 
13.7 
27.2 
18.7 
22.4 
14.8 


.8 

.2 
.2 

.5 
.8 
.5 

.6 
( 5 ) 

1.0 




gery and counterfeiting 

ud 

bezzlement 

en property; buying, receiving, 

ossessing 

idalism 

apons; carrying, possessing, etc. 

istitution and commercialized vice 
offenses (except forcible rape and 

restitution) 

ag abuse violations 

mbling 


.8 
1.5 

.7 
1.0 
1.1 

1.3 

.8 

.9 

10.0 

.6 


uor laws 


.5 


orderly conduct 

other offenses (except traffic) 

picion 

[few and loitering law violations 

naways 


.4 
.9 
1.4 
.6 
1.2 
1.4 



See footnotes at end of table. 



195 



Table 45. — City Arrests. Distribution by Race, 1986 — Continued 





Arrests 18 and over 


Percent distribution 1 


Offense charged 


Total 


White 


Black 


American 
Indian 

or 
Alaskan 
Native 


Pacific 

Islander 


Total 


White 


Black 


American 
Indian 

Alaskan 
Native 


Pacific 

Islander 




6,507,562 


4,386,476 


2,006,753 


71,920 


42,413 


100.0 


67.4 


30.8 


1.1 








Murder and nonnegligen! manslaughter 


10,532 
19,284 
81,188 
191,185 
174,690 
668,957 
59,584 
6,363 


4,543 
9,200 
29,647 
105,218 
107,707 
433,881 
34,664 
4,064 


5,837 
9,822 
50,733 
83,198 
64,781 
220,917 
24,106 
2,239 


70 
152 
418 
1,585 
1,292 
8,239 
426 
34 


82 
110 
390 
1.184 
910 
5,920 
388 
26 


100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


43.1 
47.7 
36.5 
55.0 
61.7 
64.9 
58.2 
63.9 


55.4 
50.9 

62.5 
43.5 
37.1 
33.0 
40.5 
35.2 


« 


7 

5 
8 

7 
2 
7 

5 
























Arson 




Violent crime 2 


302,189 
909,594 


148,608 
580,316 


149,590 
312.043 


2,225 
9,991 


1,766 
7,244 


100.0 

100.0 


49.2 
63.8 


49.5 
34.3 


.7 
1.1 








Crime Index total 4 


1,211,783 


728,924 


461.633 


12,216 


9,010 


100.0 


60.2 


38.1 


1.0 






383,511 
50,839 
135,665 

5,798 

65,927 
101.540 
107,037 

88,407 

52,180 
488,960 
20,277 
19,562 
884,802 

286,930 
626,836 
425,697 
29,052 
1,518,660 
4,099 


240,233 
31,332 
86,127 
3,917 

37,518 
73,290 
64,289 

52,609 

39,327 

311,211 

9,446 

12,562 
772,803 

240,081 
485,102 
276,511 
18,714 
899,585 
2,895 


136,971 
18,976 
48,406 
1,798 

27,793 
26,499 
41,513 

34,602 

11.921 
173,433 
10.145 
6,588 
97,600 

37.548 
125,237 
143,229 
9,171 
592,531 


3,912 
246 
516 

31 

350 
1,164 
520 

421 

597 

1,958 

10 

301 
9,012 

7,333 
15,070 
4,695 
1,000 
12,538 
30 


2,395 
285 
616 
52 

266 
587 
715 

775 

335 

2,358 

676 

111 

5,387 

1,968 
1,427 
1,262 
167 
14,006 
15 


100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 

100.0 

100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


62.6 
61.6 
63.5 
67.6 

56.9 

72.2 
60.1 

59.5 

75.4 
63.6 
46.6 
64.2 
87.3 

83.7 
77.4 
65.0 
64.4 
59.2 
70.6 


35.7 
37.3 
35.7 
31.0 

42.2 
26.1 
38.8 

39.1 

22.8 
35.5 
50.0 
33.7 
11.0 

13.1 
20.0 
33.6 
31.6 
39.0 
28.3 


1.0 
.5 

.5 

.5 
1.1 
.5 

.5 

1.1 

( 5 ) 
1.5 
1.0 

2.4 
1.1 
3.4 
.8 

.7 












Embezzlement 

Stolen property; buying, receiving, 

possessing 

Vandalism 

Weapons; carrying, possessing, etc 




Sex offenses (except forcible rape and 
prostitution) 

Drug abuse violations 

Gambling 


3. 










Drunkenness 

Disorderly conduct . 

Vagrancy 

All other offenses (except traffic) 

Suspicion 

Curfew and loitering law violations 

Runaways 


'Because of rounding, the percentages may 
: Violent crimes are offenses of murder, fore 
'Property crimes are offenses of burglary, la 
''Includes arson. 
s Less than one-tenth of 1 percent. 

196 


not add to to 
ble rape, rob 
rceny-theft, tr 


Kry, and agg 


avated assaul 
heft, and ars 


. 

















able 46. — City Arrests, Distribution by Ethnic Origin, 1986 

S.631 agencies; 1986 estimated population 121.146,000] 





Total all ages 




Number of arrests 


Percent distribution 




Total 


Hispanic 


Non- 
Hispamc 


Total 


Hispanic 


Non- 
Hispanic 




7,185,728 


984,572 


6,201,156 


100.0 


13.7 


86.3 




urder and nonneghgent manslaughter 
orciblc rape 
obbery 


10,382 
20,350 
95,786 
195,447 
243,048 
882,294 
89,199 
9,941 


1,752 
2,518 
13,743 
32,630 
40,866 
114,932 
15,379 
914 


8,630 
17,832 
82,043 
162,817 
202,182 
767,362 
73,820 
9,027 


100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


16.9 
12.4 
14.3 
16.7 
16.8 
13.0 
17.2 
9.2 


83.1 
87.6 
85.7 
83.3 
83.2 
87.0 
82.8 
90.8 














321,965 
1,224,482 


50.643 
172.091 


271,322 
1.052,391 


100.0 
100.0 


15.7 

14 1 




Property crime 1 


85.9 




1.546,447 


222,734 


1,323,713 


100.0 


14.4 


85.6 






415,849 
50,773 

139,531 
5,894 
81,868 

166,874 

112,833 

80,930 
55,987 

489,960 
18,130 
18,483 

821,239 

361,223 
596,057 
450,697 
29,039 
1,575,849 
6,002 
63,577 
98,486 


44,661 
3,801 
8,078 
430 
12,520 
15,972 
17,937 

8,040 
6,903 

104,856 
4,946 
1,206 

121,098 

36,113 

121,432 

44,329 

4.280 

189,456 

668 

5,561 

9,551 


371,188 
46,972 

131,453 
5.464 
69,348 

150,902 
94,896 

72,890 
49,084 

385,104 
13,184 
17,277 

700.141 

325.110 
474.625 
406,368 
24,759 
1.386,393 
5,334 
58,016 
88,935 


100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
1 00.0 


10.7 
7.5 
5.8 
7.3 

15.3 
9.6 

9.9 
12.3 
21.4 
27.3 

6.5 
14.7 

10.0 
20.4 
9.8 
14.7 
12.0 
III 
8.7 
9.7 


89.3 
92.5 
94.2 
92.7 
84.7 
90.4 
84.1 

90.1 
87.7 
78.6 
72.7 
93.5 
85.3 

90.0 
79.6 
90.2 
85.3 
88.0 
88.9 
91.3 


srgery and counterfeiting 
aud 

mbezzlement 

olen property; buying, receiving, possessing 

eapons; carrying, possessing, etc 

ostltution and commercialized vice 

rug abuse violations 

Tenses against family and children 

quor laws 

runkenness 

sorderl) .c- J i"-' 

igrancy 

II other offenses (except traffic) 

ispicion 









197 



Table 46. — City Arrests, Distribution by Ethnic Origin, 1986 — Continued 



Under 18 years of ; 



Number of arrests 



Percent disli it.uli. n 



Murder and nonnegligent manslaughtt 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 



Violent cnme 
Property cnmc 2 



Cnme Index total 



Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property, buying, receiving, possessing 

Vandalism 

Weapons; carrying, possessing, etc 



Prostitution and commercialized vice 

Sex offenses (except forcible rape and prostiti 

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 violation 

Runaways 

See footnotes at end of table. 



1,031 
3,246 
22,986 
26,407 
88,910 
292,017 
35,660 
4,428 



22,492 
72,731 
19,740 



2,002 

209,471 

2,073 

63,577 



323 


2,923 


3,429 


19.557 


4,158 


22,249 


14,176 


74,734 


33,956 


258,061 


5,525 


30,135 


420 


4,008 


8,153 


45,517 


54,077 


366,938 



8,453 

41,191 

397 



234 


1,768 


■0,677 


178,794 


229 


1,844 


5,561 


58,016 


9,551 


88,935 



ble 46. — City Arrests, Distribution by Ethnic Origin, 1986 — Continued 



Offense charged 



years of age and over 



Percent distribution 



bezzlement 

len property; buying, receiving, possessing 

idalism 

ipons; carrying, possessing, etc. 



stitution and commercialized vice 
offenses (except forcible rape and prostitu 

ig abuse violations 

nbling 

Mises against family and children 
ving under the influence 

nor laws 

inkenness 

orderly conduct 

pmcy 

other offenses (except traffic) 
picion 

few and loitering law violations 

laways 



rder and nonnegligent manslaughter 
cible rape 

)bery 

jravated assault 

'glary 

ceny-theft 

tor vehicle theft 

Violent crime 1 

Property crime 2 



Crime Index total 



9.351 
17,104 
72,800 
169,040 
154,138 
590,277 
53,539 
5,513 



350,963 
45,545 

123,500 
5,388 
59,376 
94,143 
93,093 

79.127 
46,342 
438,319 



261,670 
574,906 
380,778 
27,037 
.366,378 
3,929 



1.509 


7,842 


2,195 


14,909 


10,314 


62,486 


28,472 


140,568 


26,690 


127,448 


80.976 


509,301 


9,854 


43,685 


494 


5.019 


42,490 


225,805 


18,014 


685,453 



100.0 
100.0 
100.0 



36,911 


314,052 


3,466 


42,079 


4,496 


119,004 


370 


5,018 


9,114 


50,262 


8,624 


85,519 


14,308 


78,785 


7,881 


71,246 


5,711 


40,631 


94,406 


343,913 


4,897 


12,787 


1,003 


15,374 


19,266 


687,807 


29,805 


231.865 


15,872 


459,034 


36.318 


344,460 


4.046 


22,991 


58,779 


1,207,599 


439 


3,490 



199 



Table 47. — Suburban County Arrest Trends, 1985-1986 

[991 agencies: 1986 estimated population 36,553,000] 



Number of persons arrested 



Under 18 years of age 



Percent 



Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 



Violent crime 
Property crime 



Crime Index total 



Other assaults 

Forgery and counterfeiting 

Embezzlement 

Stolen property, buying, receiving, 

Vandalism 

Weapons: carrying, possessing, etc. 



Prostitution and commercialized vice 
Sex offenses (except forcible rape and 

prostitution) 

Drug abuse violations 

Gambling 

Offenses against family and children 
Driving under the influence 



Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) 
Suspicion (not included in totals) 
Curfew and loitering law violations .. 
Runaways 



2,596 
4,745 
13,240 
40,761 
60,597 
125,629 
16,939 
2,604 



2,643 
4,834 
14,127 
46,233 
62,747 
133,854 
19,932 
2,600 



77,234 


85,177 


10,398 


11,525 


72,253 


78,370 


2,458 


2,808 


14,342 


15,406 


26,348 


26,920 


19,494 


20,510 


4,838 


5,316 


14,098 


13,738 


96,319 


94,061 


3,188 


3,407 


13,704 


13,683 


321,273 


315,826 


41,324 


46,930 


64,412 


62,156 


30,169 


31,814 


1,337 


1,400 


301,753 


325,320 


387 


412 



156 
635 
2,431 
5,207 
22,673 
36,707 
6,130 
1,119 



158 
663 
2,270 
5,378 
22,538 
39,257 
7,297 
1,044 



2,440 


2,485 


4,110 


4,171 


10,809 


11,857 


35,554 


40,855 


37,924 


40,209 


88,922 


94,597 


10,809 


12,635 


1,485 


1,556 


52,913 


59,368 


139,140 


148,997 



67,024 


73,905 


9,580 


10,674 


71,428 


77,473 


2,325 


2,670 


11,429 


12,437 


14.625 


15,241 


16,878 


17,869 



11,758 
86,697 
3,126 
13,483 
317,859 

29,335 
62,482 
25,942 



32,658 
60,077 
27,077 



Violent ci 
'Property 
'includes : 



able 48. — Suburban County Arrest Trends, Sex, 1985-1986 

191 agencies; 1986 estimated population 36,553,000] 



Percent 
change 



Percent 



Percent 



TOTAL 

[urder and nonnegligent 

manslaughter 

jrcible rape 

ggravated assault 

irglary 

irceny-theft 

xrtor vehicle theft 

Violent crime 1 

Property crime 2 

Crime Index total' 

ther assaults 

>rgery and counterfeiting 

■aud 

nbezzlement 

olen property; buying, receiving, 

possessing 

uidalism 

eapons; carrying, possessing, etc. 

ostitution and commercialized vice 
x offenses (except forcible rape 

and prostitution) 

rug abuse violations 

ambling 

Tenses against family and children 
riving under the influence 

quor laws 

runkenness 

isorderly conduct 

igrancy 

[1 other offenses (except traffic) .... 
spicion (not included in totals) .... 
ufew and loitering law violations 
jnaways 



'Violent ci 
'Includes i 



2,264 
4,693 
12,379 
35,713 
56,254 



12,735 
23,778 
18,134 

1,977 

13,457 
81,745 
2,682 
12,678 
284,810 

33,< 



2,335 
4,781 
13,139 
40,860 
58,105 
95,315 



:.:45 



2,275 


2,126 


4,424 


4,672 


20,997 


20,816 


27,661 


29,564 


5,402 


6,487 


1,008 


917 


7,452 


7,597 


55,068 


57,784 



5,373 
4,642 
38,539 



2.609 
10.738 
2,452 



1,944 

13,030 
79,231 
2,918 
12,569 
280,114 

37,942 
55,941 
26,783 



2,699 
10,615 
2,464 



3,824 

276 

23,637 



11,565 


12,760 


3,493 


3,928 


34,593 


38,472 


786 


936 


1,607 


1,677 


2,570 


2,741 


1,360 


1,420 



14,574 

506 

1,026 

36,463 



281 
50 


-2.8 
+42.9 


270 
1,064 

177 


-11.2 
+ 8.0 
+7.9 


59 


+7.3 


150 
1,284 

7 


-17.1 
-20.1 
+75.0 



201 



Table 49. — Suburban County Arrests, Distribution by Age, 1986 
[1,093 agencies; 1986 estimated population 39,699,000] 





Total 
all 
ages 


15 


Ages 
18 


Ages 
18 and 


Age 


Offense charged 


Under 
10 


10-12 


13-14 


15 


16 


17 


18 


19 


20 




1,554,259 
100.0 


59,559 
3.8 


208,973 
13.4 


1,345,286 
86.6 


4,645 
.3 


12,736 
.8 


42,178 

2.7 


40,902 
2.6 


50,598 
3.3 


57,914 

3.7 


65,220 
4.2 


67,753 
4.4 












Murder and nonnegligent 


2,852 
5,220 
14,808 
49,352 
66,716 
141,047 
20,816 
2,766 


10 
197 
485 
1,733 
7.664 
14,355 
1,715 
631 


170 
693 
2,335 
5,652 
23,831 
40,948 
7,619 
1,071 


2,682 
4,527 
12.473 
43,700 
42,885 
100,099 
13,197 
1.695 


2 

697 

1,138 

32 


37 
73 
401 
1,762 
3,715 
168 
166 


7 
151 
406 
1,190 
5,205 
9,502 
1,515 
278 


28 

138 

487 

1,016 

4,811 

7.751 

1,874 

179 


63 

182 

589 

1,320 

5,499 

9,142 

2,101 

135 


69 

176 

774 

1,583 

5.857 

9,700 

1.929 

126 


120 
197 
1,007 
1.821 
5,423 
8,356 
1,502 
116 


134 
187 
1,000 
1.803 
4,580 
7,037 
1,283 
133 






























9 




72,232 

100.0 

231,345 

100.0 


2,425 

3.4 

24,365 

10.5 


8,850 

12.3 

73,469 


63,382 

87.7 

157,876 

68.2 


159 
2,054 


512 

.7 

5,811 

2.5 


1.754 

2.4 

16,500 

7.1 


1,669 

2.3 

14,615 

6.3 


2,154 

3.0 

16,877 

7.3 


2.602 

3.6 

17.612 

7.6 


3.145 

15.397 
6.7 


3.124 

4.3 

13,033 

5.6 






















303,577 
100.0 


26.790 
8.8 


82,319 
27.1 


221,258 
72.9 


2,213 


6,323 
2.1 


18,254 
6.0 


16,284 

5.4 


19,031 
6.3 


20,214 
6.7 


18,542 


16,157 
5.3 




Percent distribution' 


4. 


Other assaults 

Forgery and counterfeiting 

Fraud 


90,034 
12,295 
81,655 
2,969 

16,503 
28,286 
21,821 

5,870 

14,547 
99,740 
3.871 
15,261 
330,158 

48,935 
67,060 
34,907 
1,509 
349,885 
530 
1,479 
23,367 


3,801 

105 

131 

8 

625 
5,275 
612 

12 

1.037 

1,254 

7 

24 
71 

894 
235 
1.219 
82 
8,138 
63 
382 
8,794 


11.910 
888 
930 

3,127 
12,215 
2,743 

2,370 

8,653 

70 

181 

3,942 

14,956 
2,241 
5,104 
341 
31,702 
210 
1,479 
23,367 


78,124 
11,407 
80,725 
2,827 

13,376 
16,071 
19.078 

5,787 

12,177 
91,087 
3,801 
15,080 
326,216 

33,979 
64,819 
29,803 
1,168 
318,183 
320 


286 

788 
30 

26 


922 
10 
14 

102 

1,536 

106 

1 

264 
130 


2,593 

92 

105 

7 

492 
2,951 
476 

678 

1,098 

7 

14 

46 

801 
199 
870 
65 
5,911 
34 
323 
7,153 


2,190 
109 
126 
12 

634 
2,174 
493 

8 

461 
1,507 

25 
147 

2,055 
325 
895 
83 
6,245 
51 
335 
6.731 


2,750 
242 
212 
37 

846 
2,470 
708 

24 

412 
2,432 
19 
50 
966 

4,542 
598 
1,269 
88 
7,879 
39 
417 
5,567 


3,169 
432 
461 
85 

1,022 
2,296 
930 

39 

460 

3,460 

32 

2.758 

7,465 
1,083 

1,721 
88 

9,440 
57 
345 

2,275 


2,964 

576 

1,163 

99 

1,108 
1,822 
1,139 

174 

395 

4,701 

56 

271 
6.463 

8,376 
2,027 
1,885 

87 
13,346 

26 


3,179 
644 

1.953 
109 

1.091 
1,326 
1,096 

251 

421 

5,221 

60 

310 
9,120 

6,795 
2,337 
1,897 

95 
15,671 

20 


.1,49 
69 

2,78 


Stolen property, buying, receiving, 

possessing 

Vandalism 

Weapons; carrying, possessing, etc 

Prostitution and commercialized vice 

Sex offenses (except forcible rape and 
prostitution) 


98 
1,1! 

l.K 

31 

4( 

5.3- 

31 
11,0* 

4,s: 
:.6 

l.S. 

i 

17,2: 




Offenses against family and children 


21 

26 
11 
96 

719 
260 


6 

67 
25 
253 
10 

1,508 
21 
52 

1,381 










All other offenses (except traffic) 

Suspicion 

Curfew and loitering law violations 

Runaways 



49. — Suburban County Arrests, Distribution by Age, 1986 — Continued 





Age 


Offense charged 


21 


22 


23 


24 


25-29 


30-34 


35-39 


40-44 


45-49 


50-54 


55-59 


60-64 


65 and 








71,406 
4.6 


69,711 

4.5 


303.627 
19.5 


210,225 
13.5 


138,574 
8.9 


82,534 
5.3 


50,267 
3.2 


31,215 

2.0 


20,392 
1.3 


12,418 

.8 


10,787 




4.5 


4.6 






der and nonnegligent 




























anslaughter 


148 


145 


145 


110 


583 


387 


312 


186 


108 


64 


40 


28 


44 


ible rape 


237 


241 


216 


21C 


1.003 


750 


541 


295 


183 


110 


73 


35 


35 


bery 


909 


843 


887 


741 


2.909 


1,744 


836 


337 


152 


72 


29 


11 


22 


ravated assault 


2,103 


2,195 


2,195 


2,267 


10,106 


7,127 


4,833 


2.860 


1,879 


1,142 


653 


420 


388 


zlary 


3,120 


2,849 


2,603 


2,316 


8.685 


4.984 


2,491 


1,099 


495 


250 


116 


52 


52 


.eny-theft 


5,649 


5,167 


5,077 


4,692 


19,894 


14,872 


9,269 


5,152 


3,113 


2.041 


1,467 


997 


1.189 




982 


869 


785 


725 


2,640 


1,583 


828 


470 


236 


124 


58 


35 


29 


m 


89 


75 


85 


68 


338 


226 


187 


103 


86 


41 


22 


14 


13 


Violent crime 2 


3,397 


3.424 


3,443 


3.328 


14,601 


10.008 


6,522 


3,678 


2,322 


1,388 


795 


494 


489 






4.7 
































7,801 
3.4 












2,456 
1.1 


1,663 

.7 


1,098 

.5 


1,283 


Percent distribution 1 


4.3 


3.9 


3.7 


13.6 


9.4 


5.5 


2.9 


1.7 


Crime Index total 4 


13,237 


12,384 


11.993 


11,129 


46,158 


31.673 


19,297 


10,502 


6,252 


3,844 


2,458 


1,592 


1,772 




4.4 


4.1 


4.0 


3.7 


15.2 


10.4 


6.4 


3.5 


2.1 


1.3 


.8 


.5 


.6 




assaults 












12,842 
1,839 


8,612 






1,899 
125 


1,129 
68 


654 
41 


726 
31 


ery and counterfeiting 


753 


656 


660 


690 


2.655 


565 


300 


id 


3,464 


3,809 


3,875 


4,083 


18.870 


15,399 


11,322 


6.686 


3,549 


1,929 


964 


504 


371 


ezzlement 


111 


159 


133 


142 


706 


450 


347 


218 


104 


93 


28 


13 


9 


n property; buying, receiving. 




























(ssessing 


917 


825 


802 


701 


2.749 


1,802 


1,078 


569 


343 


182 


127 


70 


32 


ialism 


1,065 


1,015 


946 


822 


3,292 


1,968 


1,135 


635 


374 


204 


134 


76 


71 


pons; carrying, possessing, etc. 


1.094 


1,065 


1,095 


1,015 


4,162 


2.746 


1,832 


1,115 


705 


419 


244 


133 


150 


titution and commercialized vice 


334 


398 


366 


379 


1,562 


949 


481 


241 


140 


77 


61 


27 


33 


offenses (except forcible rape 




























d prostitution) 


461 


496 


462 


466 


2,167 


1.907 


1,623 


1.113 


737 


490 


375 


270 


333 


5 abuse violations 


5,708 


5,776 


5,760 


5,752 


23.895 


14,588 


7,704 


3.441 


1,607 


772 


463 


206 


149 


bling 


102 


95 


120 


116 


524 


546 


512 


491 


369 


266 


205 


H8 


145 


lses against family and children 


492 


587 


567 


710 


3,559 


3,217 


2,421 


1,350 


663 


288 


153 


61 


49 


ing under the influence 


14,738 


16,096 


16,630 


16,519 


73,896 


54,346 


38,611 


25,116 


16,506 


11,114 


7,762 


4,772 


3,463 














1,825 


1,100 
7,325 
2,655 








248 


154 


165 














4,832 


3,252 
1,065 


2,240 


1,620 










1.724 




6,127 


4,046 


248 


238 






















17,742 






49,364 




17,924 


10,676 


6,238 


3,882 


2.394 


2,255 
2 














ew and loitering law violations 







































Because of rounding, the percentages may not add to total. 

^Violent crimes are offenses of murder, forcible rape, robbery, and aggravated ass 
Property crimes are offenses of burglary, larceny- theft, motor vehicle theft, and i 
'includes arson. 



Tabic 50. — Suburban County Arrests of Persons under 15, 18, 21, and 25 Years of Age, 1986 
[1,093 agencies; 1986 estimated population 39,699,000] 





Total 
ages 


Number of persons arrested 


Percent of total all ages 


Offense charged 


Under 15 


Under 18 


Under 21 


Under 25 


Under 
15 


Under 
18 


Under 
21 


Under 

25 




1,554,259 


59,559 


208,973 


410,767 


694,220 


3.8 


13.4 


26.4 








Murder and nonneghgent manslaughter 

Forcible rape 

Robbery 

Aggravated assault 


2,852 
5.220 
14,808 
49.352 
66,716 
141.047 
20,816 
2,766 


10 
197 
485 
1,733 
7,664 
14.355 
1,715 
631 


170 
693 
2,335 
5,652 
23,831 
40,948 
7.619 
1,071 


552 
1,291 
5,316 
11.184 
37,604 
62,468 
11,452 
1,419 


1,100 
2,195 
8,696 
19,944 
48,492 
83.053 
14,813 
1,736 


3.8 
3.3 
3.5 
11.5 
10.2 
8.2 
22.8 


60 
13.3 
15.8 
11.5 
35.7 
29.0 
36.6 
38.7 


19.4 
24.7 
35.9 
22.7 
56.4 
44.3 
55.0 
51.3 


38 
42 
58 
4C 










Arson 


62 


Violent crime 1 

Property crime 2 


72,232 
231,345 


2,425 
24.365 


8,850 
73,469 


18,343 
112,943 


31,935 
148,094 


3.4 
10.5 


12.3 
31.8 


25.4 
48.8 


44 
64 




303,577 


26,790 


82,319 


131.286 


180,029 


8.8 


27.1 


43.2 










90,034 
12,295 
81,655 
2,969 
16,503 
28,286 
21.821 

5,870 
14,547 
99,740 

3,871 
15,261 
330,158 

48,935 
67,060 
34.907 
1,509 
349,885 
530 
1.479 
23,367 


3,801 

105 

131 

8 

625 
5,275 
612 

12 
1,037 
1,254 
7 
24 
71 

894 
235 
1,219 
82 
8.138 
63 
382 
8,794 


11,910 

888 

930 

142 

3.127 

12,215 

2,743 

83 
2,370 
8,653 

70 

3,942 

14,956 
2,241 
5,104 
341 
31,702 
210 
1,479 
23,367 


21,545 
2,804 
6,830 
456 
6,306 

16,549 
6.046 

822 
3.647 
23,919 
262 
1.144 
30,589 

34,955 
9,215 
10.718 
605 
77,945 
278 
1,479 
23,367 


37,594 
5,563 

22,061 
1,001 
9,551 

20,397 

10,315 

2,299 
5,532 

46,915 
695 
3.500 

94,572 

40,338 

21,807 

17,721 

849 

148,288 

347 

1,479 

23,367 


4.2 
.9 
.2 
.3 

3.8 

2.8 

.2 
7.1 
1.3 

.2 

.2 

C) 

1.8 

3.5 
5.4 
2.3 
11.9 
25.8 
37.6 


13.2 
7.2 
1.1 
4.8 
18.9 
43.2 
12.6 

1.4 
16.3 
8.7 
1.8 
1.2 
1.2 

30.6 
3.3 
14.6 
22.6 
9.1 
39.6 
100.0 
100.0 


23.9 
22.8 
8.4 
15.4 
38.2 
58.5 
27.7 

14.0 
25.1 
24.0 
6.8 
7.5 
9.3 

71.4 
13.7 
30.7 
40.1 
22.3 
52.5 
100.0 
100.0 












Embezzlement 

Stolen property; buying, receiving, possessing 


33 
57 


Weapons; carrying, possessing, etc 


47 


Sex offenses (except forcible rape and prostitution) 


38 


Gambling 


18 


















Vagrancy 

All other offenses (except traffic) 

Suspicion 

Curfew and loitering law violations 


5( 

4; 
i« 







:-tenth of 1 percent. 



rable 51. — Suburban County Arrests, Distribution by Sex, 1986 

1,093 agencies; 1986 estimated population 39,699,000] 



Offense charged 


Number of persons arrested 


Percent 


s 


Percent distribution 1 


Total 


Male 


Female 


Total 


Male 


Female 




1,554,259 


1,288,595 


265,664 


82.9 


17.1 


100.0 


100.0 


100.0 




Murder and nonneghgenl manslaughter 
orcible rape 


2,852 
5,220 
14,808 
49,352 
66.716 
141,047 
20,816 
2,766 


2,523 
5.160 
13,751 
43,665 
61.795 
100,749 
18.896 
2,385 


329 
60 
1,057 
5,687 
4,921 
40,298 
1.920 
381 


88.5 
98.9 
92.9 
88.5 
92.6 
71.4 
90.8 
86.2 


11.5 
1.1 
7.1 

11.5 
7.4 

28.6 
9.2 


.2 
.3 
1.0 
3.2 
4.3 
9.1 
1.3 
.2 


3.4 
4.8 

7.8 


.1 

2.1 
1.9 
15.2 










' 






Violent crime 1 

Property crime 4 


72,232 
231,345 


65,099 
183,825 


7,133 
47,520 


90.1 
79.5 


20.5 


M 


5.1 


2.7 
17.9 




303,577 


248,924 


54.653 


82.0 


18.0 


19.5 


19.3 


20.6 






90,034 
12,295 
81.655 
2,969 

16.503 
28,286 
21,821 

5,870 

14,547 
99,740 
3,871 
15,261 
330,158 

48.935 
67.060 
34,907 
1,509 
349,885 
530 
1,479 
23,367 


76,493 
8,105 

41,742 
2,005 

14,715 
25.434 
20,286 

2.251 

13,804 
83,835 
3,328 
14.036 
293,221 

39,527 
60,428 
29,500 
1,317 
297,800 
456 
1,068 
10.320 


13,541 

4,190 

39,913 

964 

1,788 
2,852 
1,535 

3,619 

743 
15,905 

543 
1,225 
36.937 

9,408 

6.632 

5,407 

192 

52,085 

74 

411 

13,047 


85.0 
65.9 
51.1 
67.5 

89.2 
89.9 
93.0 

38.3 

94.9 
84.1 
86.0 
92.0 
88.8 

80.8 
90.1 
84.5 
87.3 
85.1 
86.0 
72.2 
44.2 


15.0 
34.1 
48.9 
32.5 

10.8 
10 1 

7.0 

61.7 

15.9 
14.0 
8.0 
11.2 

19.2 
9.9 
15.5 
12.7 
14.9 
14.0 
27.8 
55.8 


5.8 
.8 
5.3 

.2 

1.1 
1.8 

.4 

6.4 

.2 
1.0 
21.2 

3.1 

4.3 
2.2 
.1 
22.5 
( J ) 

1.5 


5.9 
.6 

3.2 
.2 

1.1 
2.0 
1.6 

.2 

1.1 
6.5 
.3 
1.1 
22.8 

3.1 
4.7 
2.3 
1 
23.1 
< : ) 


5.1 
1.6 
15.0 


orgery and counterfeiting 


mbezzlement 

olen property; buying, receiving. 








.6 

1.4 

.3 
6.0 
.2 
.5 
13.9 

3.5 
2.5 
2.0 

.1 
19.6 
( 2 ) 

.2 
4.9 




ex offenses (except forcible rape and 

prostitution) 

rug abuse violations 

rambling 

Tenses against family and children 

riving under the influence 

quor laws 

runkenness 

isorderly conduct 

agrancy 

Jl other offenses (except traffic) 

jspicion 

urfew and loitering law violations 

unaways 



Because of 
2 Less than < 
'Violent crii 
4 Property cr 
includes ar 



the percentages may not add to total. 
l of 1 percent. 

offenses of murder, forcible rape, robbery, and aggravated assault. 
! offenses of burglary, larceny-theft, motor vehicle theft, and arson 



205 



Table 52. — Suburban County Arrests, Distribution by Race, 1986 

[1,077 agencies; 1986 estimated population 39.581,000] 





Total arrests 


Percent distribution 1 


Offense charged 


Total 


White 


Black 


American 
Indian 

Alaskan 
Native 


Asian 

Pacific 
Islander 


Total 


White 


Black 


American 

Alaskan 
Native 


Asian 
Islander 




1,542,167 


1,233,994 


297,634 


5,887 


4,652 


100.0 


80.0 


19.3 


.4 








Murder and nonnegligent manslaughter 


2.851 
5,213 
14,802 
49,309 
66,510 
140,520 
20,803 
2.764 


1,993 
3,440 
6,442 
34,418 
50,995 
99,592 
15,342 
2,270 


823 
1,742 
8,297 
14,509 
15,163 
39,701 
5,332 
479 


22 
16 
43 
239 
220 
450 
70 
7 


13 
15 
20 
143 
132 
777 
59 
8 


100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


69.9 
66.0 
43.5 
69.8 
76.7 
70.9 
73.7 
82.1 


28.9 
33.4 
56.1 
29.4 
22.8 
28.3 
25.6 
17.3 


.8 
.3 
.3 
.5 

.3 
.3 
.3 
.3 
































Violent crime 2 

Property crime' 


72,175 
230,597 


46.293 
168,199 


25,371 
60,675 


320 

747 


191 
976 


100.0 
100.0 


64.1 
72.9 


35.2 
26.3 


.4 
.3 




Crime Index total 4 


302,772 


214,492 


86,046 


1.067 


1.167 


100.0 


70.8 


28.4 


4 




Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, 

possessing 

Vandalism 

Weapons; carrying, possessing, etc 


89,841 
12,283 
81,596 

2,965 

16,444 
28,128 
21,790 

5,868 

14,526 
99,479 
3.851 
15,231 
321,030 

48,934 
66,900 
34,789 
1,509 
348,881 
530 
1,479 
23,341 


68,026 

9,028 
57,371 
2.160 

11.876 
24,551 
16.416 

3,797 

12.785 
75,592 
2,819 
10,516 
297.699 

44,896 
60,268 

28,735 
1,277 
269,174 
453 
1,313 
20,750 


21.201 

3,205 

23,978 

793 

4.462 
3,403 
5,237 

2,026 

1.646 
23.549 
1.020 
4,638 
21,107 

3,751 

5,908 

5.848 

219 

77,026 

74 

143 

2,354 


367 

26 

137 

2 

105 
56 

22 

60 

201 

2 

64 
858 

195 
596 
150 
13 
1,753 
2 

146 


247 
24 

110 
10 

57 
69 

23 

35 
137 
10 
13 
1.366 

92 

128 
56 

928 
1 
7 
91 


100.0 

100.0 
100.0 

100.0 

100.0 

100.0 
100.0 

100.0 

100.0 
100.0 
100.0 
100.0 
1000 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


75.7 
73.5 
70.3 
72.8 

72.2 
87.3 
75.3 

64.7 

88.0 
76.0 
73.2 
69.0 
92.7 

91.7 

90.1 
82.6 
84.6 
77.2 
85.5 
88.8 
88.9 


23.6 
26.1 
29.4 
26.7 

27.1 

12.1 
24.0 

34.5 

11.3 
23.7 
26.5 
30.5 

7.7 
8.8 
16.8 
14.5 
22.1 
14.0 
9.7 
10.1 


.2 
.2 
.1 

.3 

.3 

.2 
.1 
.4 
.3 

.4 
.9 
.4 
.9 
.5 
.4 
1.1 




Sex offenses (except forcible rape and 

prostitution) 

Drug abuse violations 

Gambling 








Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) 

Suspicion 

Curfew and loitering law violations 

Runaways 





able 52. — Suburban County Arrests, Distribution by Race, 1986 — Continued 





Arrests under 18 


Percent distribution' 


Offense charged 


Total 


White 


Black 


American 
Indian 

Alaskan 
Native 


Asian 

Pacific 
Islander 


Total 


White 


Black 


American 

Alaskan 
Native 


Islander 




208,544 


171,697 


35,161 


821 


865 


100.0 


82.3 


16.9 


.4 








urder and nonnegligeni manslaughter 


170 
693 
2,335 
5,651 
23,819 
40,902 
7,619 
1,070 


128 
417 
911 
3,683 
19,825 
30,992 
5.660 
952 


41 
273 
1,416 
1,917 
3,830 
9,461 
1,908 
113 


6 

25 
88 
127 
20 

3 


3 
2 

26 
76 
322 
31 
2 


100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


75.3 
60.2 
39.0 
65.2 
83.2 
75.8 
74.3 
89.0 


24.1 
39.4 
60.6 
33.9 
16.1 
23.1 
25.0 
10.6 






6 




.3 
.4 
.4 
.3 
.3 
.3 


1 








3 
8 
4 


irceny-theft 










8,849 

73,410 


5,139 
57,429 


3,647 
15,312 


31 
238 


32 
431 


100.0 
100.0 


58.1 
78.2 


41.2 
20.9 


.3 


.6 








82,259 


62,568 


18.959 


269 


463 


100.0 


76.1 


23.0 


.3 


.6 




her assaults 

Drgery and counterfeiting 

nbezzlement 

olen property; buying, receiving, 

possessing 


11,902 
888 
930 
142 

3,127 
12,176 
2.743 

83 

2.369 

8,505 

70 

181 

3,868 

14.956 
2.231 
5.102 
341 
31,641 
210 
1.479 
23,341 


8,732 
787 
711 
103 

2.238 
10,969 

2,116 

57 

1.974 

6.849 

29 

164 

3,787 

14,596 
2,129 
4,308 
316 
27,014 
187 
1,313 
20,750 


3,070 
96 
217 
39 

853 
1,132 
599 

25 

375 
1,613 
41 
15 
64 

286 
78 
770 
24 
4,386 
22 
143 
2,354 


55 
2 
1 

6 

42 
9 

12 
25 

2 
8 

39 
24 
18 

144 
1 

16 
146 


45 
3 

30 
33 
19 

8 

18 

9 

35 

6 

97 

7 
91 


100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 

100.0 

100.0 
100.0 

100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


73.4 
88.6 
76.5 
72.5 

71.6 
90.1 
77.1 

83.3 
80.5 
41.4 
90.6 
97.9 

97.6 
95.4 
84.4 
92.7 
85.4 
89.0 
88.8 
88.9 


25.8 
10.8 
23.3 
27.5 

27.3 
9.3 
21.8 

30.1 

15.8 
19.0 
58.6 
8.3 
1.7 

3.5 
15 .1 

7.0 
13.9 
10.5 

9.7 
10.1 


.5 
.2 
.1 

.2 
.3 

.3 

1.2 

.5 
.3 

.2 

.3 
1.1 
.4 
.3 
.5 
.5 
1.1 
.6 


.4 
.3 

1.0 
.3 

.7 


eapons; carrying, possessing, etc 


ambling . .. 


.3 
.2 








.2 




isorderly conduct 




1 










irfew,and loitering law violations 

anaways 


.5 
.4 



Table 52. — Suburban County Arrests, Distribution by Race, 1986 — Continued 





Arrests 18 and over 


Percent distribution' 


Offense charged 


Total 


White 


Black 


American 
Indian 

Alaskan 
Native 


Pacific 

Islander 


Total 


White 


Black 


Amencan 
Indian 

Alaskan 
Native 


or 
Pacific 

Islander 




1,333,623 


1,062,297 


262,473 


5,066 


3,787 


100.0 


79.7 


19.7 


.4 








Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 


2,681 
4,520 
12,467 
43,658 
42,691 
99,618 
13,184 
1,694 


1,865 
3,023 
5,531 
30.735 
31,170 
68,600 
9,682 
1,318 


782 
1.469 
6,881 
12,592 
11,333 
30,240 
3,424 
366 


22 
16 
37 
214 
132 
323 
50 


12 
12 
18 

117 
56 

455 
28 
6 


100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


69.6 
66.9 

70.4 
73.0 
68.9 
73.4 
77.8 


29.2 
32.5 
55.2 
28.8 
26.5 
30.4 
26.0 
21.6 


.8 

.3 
.5 
.3 
.3 

.2 












vi - 2 


63,326 
157,187 


41,154 
110,770 


21,724 
45,363 


289 
509 


159 
545 


100.0 

100.0 


65.0 
70.5 


34.3 
28.9 


.5 
.3 












Crime Index total 4 


220,513 


151,924 


67,087 


798 


704 


100.0 


68.9 


30.4 


.4 






77,939 
11,395 
80,666 
2,823 

13,317 
15,952 
19,047 

5,785 

12,157 
90,974 
3,781 
15,050 
317,162 

33,978 
64,669 

29,687 

1.168 

317,240 

320 


59,294 
8,241 

56,660 
2,057 

9,638 
13,582 
14,300 

3.740 

10,811 
68,743 
2,790 
10,352 
293,912 

30,300 
58,139 
24,427 

961 
242,160 

266 


18,131 

3,109 

23,761 

754 

3,609 
2,271 
4,638 

2,001 

1,271 

21,936 

979 

4,623 
21,043 

3,465 
5.830 
5,078 
195 
72,640 
52 


312 

24 

136 

2 

43 
63 

47 

48 

176 

2 

62 
850 

156 
572 
132 
12 
1,609 
1 


202 
21 
109 

10 

27 
36 
62 

23 

27 
119 
10 
13 
1,357 

57 
128 
50 

831 


100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 

100.0 

100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


76.1 
72.3 
70.2 
72.9 

72.4 
85.1 
75.1 

64.6 

88.9 
75.6 
73.8 
68.8 
92.7 

89.2 
89.9 
82.3 
82.3 
76.3 
83.1 


23.3 
27.3 
29.5 
26.7 

27.1 
14.2 
24.4 

34.6 

10.5 
24.1 
25.9 
30.7 
6.6 

10.2 
9.0 
17.1 
16.7 
22.9 
16.3 


.2 
.2 

,3 

.4 

4 
.2 

.4 
.3 

.5 
.9 
.4 
1.0 
.5 
















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 








Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) 

Suspicion 

Curfew and loitering law violations 









Because of rounding, the percentages may not add to total. 
"'Violent crimes are offenses of murder, forcible rape, robbery, and aggra\ated assault 

Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson 
'Includes arson. 



Table 53. — Suburban County Arrests, Distribution by Ethnic Origin, 1986 

[870 agencies; 1986 estimated population 33,310,000] 





Total all ages 


Offense charged 


Number of arrests 


Percent distribution 


Total 


Hispanic 


Non- 


Total 


Hispanic 


Non- 
Hispanic 




1,266,559 


144,571 


1,121,988 


100.0 


11.4 










2.150 
3.853 
9.574 
38,195 
49.894 
107,050 
17.226 
2.358 


335 
443 
1,129 

4,882 
5,140 
7,339 
2,503 
115 


1,815 
3,410 
8,445 
33,313 
44,754 
99,711 
14,723 
2.243 


100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


15.6 
11.5 
11.8 

10.3 
6.9 

14.5 
4.9 












Aggravated assault 


87.2 


















Violent crime 1 

Property crime 2 


53,772 
176,528 


6,789 
15,097 


46,983 
161,431 


100.0 
100.0 


12.6 
8.6 


87.4 
91.4 




230,300 


21,886 


208,414 


100.0 


9.5 










76,870 
10,474 
70.392 
2.752 
14.222 
25,466 
17,818 

3.707 
12.493 
80,954 

3,481 
13,405 
284,921 

46,188 
61,698 
29,440 
1,471 
259,385 
510 
1.279 
19,333 


4,492 
565 
1,563 
76 
1,908 
1,351 
2,596 

479 
1,434 

13,315 
561 
600 

51,724 

2,342 

13,245 

1,803 

274 

23,185 

18 

59 

1,095 


72,378 
9,909 
68,829 

2.676 
12,314 
24,115 
15,222 

3,228 
11,059 
67,639 

2.920 
12,805 
233,197 

43,846 
48,453 
27,637 
1.197 
236,200 
492 
1,220 
18,238 


100.0 
100.0 
1 00.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


5.8 

2.2 
2.8 

13.4 
5.3 

14.6 

12.9 
11.5 

16.4 
16.1 
4.5 
18.2 

5.1 
21.5 
6.1 
18.6 
8.9 
3.5 
4.6 
5.7 




; orgery and counterfeiting 

Fraud 


94.6 
97.8 


Stolen property; buying, receiving, possessing 


86.6 






















3ffenses against family and children 


95.5 


.iquor laws 


94.9 






Vagrancy 

MI other offenses (except traffic) 
itispicion 


81.4 
91.1 
96.5 











See footnotes at end of table 



209 



Table 53. — Suburban County Arrests, Distribution by Ethnic Origin, 1986 — Continued 



Offense charged 



Under 18 years of age 



Number of arrests 



Percent distribution 



Murder and nonnegl 
Forcible rape 
Robbery 
Aggravated assault 

Burglary 

Larceny-theft 
Motor vehicle theft 



Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property, buying, receiving. 

Vandalism 

Weapons; carrying, possessing, etc 



Sex offenses (except forcible rape and prostit 
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 

See footnotes at end of table. 



17.582 
30,789 
6,159 



2,665 
10,708 
2,290 



105 


100.0 


440 


100.0 


1,543 


100.0 


3,715 


100.0 


16.050 


100.0 


29,124 


100.0 


5,486 


100.0 


925 


100.0 


5,803 


100.0 


51,585 


100.0 



8,624 


100.0 


717 


100.0 


722 


100.0 


109 


1000 


2,367 


100.0 


10,156 


100.0 


1,964 


[00.0 


56 


100.0 


1,890 


100.0 


6,247 


100.0 


56 


100.0 



1,665 


100.0 


4,141 


100.0 


282 


100.0 


3,560 


100.0 


198 


100.0 


1,220 


100.0 


8,238 


100.0 



210 



rable 53. — Suburban County Arrests, Distribution by Ethnic Origin, 1986 — Continued 





18 years of age and over 




Number of arrests 


Percent distribution 




Total 


Hispanic 


Non- 
Hispanic 


Total 


Hispanic 


Non- 
Hispanic 




1,097,855 


132,144 


965,711 


100.0 


12.0 


88.0 






2.024 
3,367 
7.851 
34,028 
32,312 
76.261 
11,067 
1,400 


314 

397 

949 

4,430 

3,608 

5,674 

1,830 

82 


1,710 
2,970 
6,902 
29,598 
28,704 
70,587 
9.237 
1,318 


100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


15.5 
11.8 
12.1 
13.0 
11.2 

7.4 
16.5 

5.9 


84.5 
88.2 
87.9 
87.0 
88.8 
92.6 
83.5 
94.1 










♦arceny-theft 




Violent mme' 


47.270 
121,040 


6,090 
11,194 


41,180 
109,846 


100.0 
100.0 


9.2 


87.1 
90.8 


Property crime 2 




168,310 


17,284 


151,026 


100.0 


10.3 


89.7 






67,593 
9,725 
69,630 
2,639 
11.557 
14.758 
15,528 

3.647 
10.446 
73.712 

3,421 
13.239 
281.339 

32.033 
59.595 
25.006 
1,156 
234,213 
308 


3,839 
533 

1.523 
72 

1,610 
799 

2,270 

475 
1,277 

12,320 
557 
593 

51.170 

1,677 
12,807 
1,510 
241 
21,573 
14 


63,754 
9,192 

68,107 
2,567 
9,947 

13,959 

13,258 

3,172 
9.169 
61.392 
2.864 
12.646 
230,169 

30,356 
46,788 
23,496 

915 
212.640 

294 


100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


5.7 
5.5 
2.2 
2.7 

13.9 
5 4 

14.6 

13.0 
12.2 
16.7 
16.3 
4.5 

5.2 
21.5 
6.0 

208 

45 


94.3 
94.5 
97.8 
97.3 
86.1 
94.6 
85.4 

87.0 
87.8 
83.3 
83.7 
95.5 
81.8 

94.8 
78.5 
94.0 
79.2 
90.8 
95.5 










andalism 






rambling 










Jl other offenses (except traffic) 

uspicion 

urfew and loitering law violations 


unaways 









Table 54. — Rural County Arrest Trends, 1985-1986 

[2,137 agencies; 1986 estimated population 21,719,000] 





Number of persons arrested 


Offense charged 


Total all ages 


Under 18 years of age 


18 years of age and over 


1985 


1986 


cnlng"' 


1985 


1986 


change' 


1985 


1986 


Percent 




751,765 


776,001 


+3.2 


67,624 


70,749 


+4.6 


684,141 


705,252 








>nnegl,gent tnans.aughter 


1,325 
2,330 
2,339 
19,685 
30,137 
39,772 
7,169 
1,316 


1,322 
2,327 
2,196 
20,765 
30,158 
39,604 
7.117 
1,369 


-.2 

-6.1 

+ 5.5 

-.4 
-.7 
+4.0 


84 

234 

261 

1,198 

9,643 

8,900 

2,435 

279 


244 
216 
1,283 
9,418 
8,921 
2,486 
327 


-3.6 
+4.3 

-17.2 
+ 7.1 
-2.3 
+.2 
+2.1 

+ 17.2 


1,241 
2,096 
2,078 
18.487 
20,494 
30,872 
4,734 
1.037 


1,241 
2,083 
1,980 
19,482 
20,740 
30,683 
4,631 
1,042 




Forcible rape 

Robbery 


-.6 
-4.1 
























25,679 

78,394 


26,610 

78,248 


+ 3.6 
-.2 


1,777 
21,257 


1.824 
21,152 


+2.6 
-.5 


23,902 
57,137 


24,786 
57,096 














104,073 


104,858 


+ .8 


23,034 


22,976 


-.3 


81,039 


81,882 










40,447 

6,738 

48,196 

942 

5,691 
13,402 
7,633 

208 

6,027 

42,478 

828 

8,715 

205,606 

38,228 

51,008 

20,886 

220 

143,017 

348 

491 

6,931 


44,037 
7.080 

48,728 
1,070 

5,953 
14,016 
8,219 

190 

6,135 

41,513 

624 

8,218 

210,478 

42,740 

51,819 

22,836 

244 

149,288 

491 

685 

7,270 


+ 8.9 
+ 5.1 

+ 13.6 

+4.6 
+4.6 

+ 7.7 

-8.7 

+ 1.8 
-2.3 
-24.6 

-5.7 
+2.4 

+ 11.8 
+ 1.6 

+9.3 
+ 10.9 

+4.4 
+41.1 
+39.5 

+4.9 


2,640 
590 
369 

15 

844 
4,864 

534 

10 

847 

2,789 

13 

137 
2,788 

8,414 
1,052 
1,717 

48 
9,497 

65 
491 
6.931 


2,840 

585 

341 

9 

840 

4.916 

564 

19 

873 

2,485 

12 

126 
3,239 

9,671 
1.178 
2,133 
58 
9,929 
114 
685 
7,270 


+7.6 

-.8 

-7.6 

-40.0 

-.5 
+ 1.1 
+5.6 

+90.0 

+3.1 
-10.9 
-7.7 
-8.0 
+ 16.2 

+ 14.9 
+ 12.0 
+24.2 
+20.8 

+4.5 
+75.4 
+39.5 

+4.9 


37,807 

6,148 

47,827 

927 

4,847 
8,538 
7,099 

198 

5,180 
39,689 

815 

8,578 

202,818 

29,814 
49,956 
19,169 

172 
133,520 

283 


41,197 
6,495 

48,387 
1,061 

5,113 

9,100 
7,655 

171 

5,262 

39,028 

612 

8,092 

207,239 

33.069 
50,641 
20,703 
186 
139,359 
377 












Embezzlement 

Stolen property; buying, 


+ 14.5 














Sex offenses (except forcible 








































Suspicion (not included in totals) 


+33.2 


Runaways 











Violent crimes i 
includes arson. 



212 



rable 55. — Rural County Arrest Trends, Sex, 1985-1986 

2,137 agencies; 1986 estimated population 21,719,000] 





Males 


Females 




Total 


Under 18 


Total 


Under 18 




1985 


1986 


Percent 

change 


1985 


1986 


chanTe 


1985 


1986 


J5j 


1985 


1986 


Percent 

change 




641,077 


659,602 


+2.9 


54,370 


56,823 


+4.5 


110,688 


116,399 


+5.2 


13,254 


13,926 


+5.1 




durder and nonnegligent 


1.157 
2,308 
2,158 
17,511 
28,363 
31,868 
6,502 
1,149 


1,125 
2,298 
2,025 
18,406 
28,147 
31,735 
6,461 
1,196 


-2.8 
-.4 
-6.2 

+ 5.1 
-.8 

-.6 

+4.1 


74 

226 

247 

1,027 

9,057 

7,409 

2,147 

256 


72 
236 
198 
1,094 
8,741 
7,495 
2,215 
297 


-2.7 
+4.4 

-19.8 
+6.5 
-3.5 
+ 1.2 
+3.2 

+ 16.0 


168 
22 

181 
2,174 
1,774 
7,904 
667 
167 


197 
29 

171 
2,359 
2,011 
7,869 

656 

173 


+ 17.3 
+31.8 
-5.5 
+8.5 
+ 13.4 

-1.6 
+ 3.6 


10 
8 
14 
171 
586 
1,491 
288 
23 


9 
8 

18 
189 
677 
1,426 
271 
30 


-10.0 






+28.6 
+ 10.5 
+ 15.5 
-4.4 
-5.9 
+30.4 




urglary 






Violent crime' 


23,134 
67,882 


23,854 
67,539 


+3.1 
-.5 


1,574 
18,869 


1,600 
18,748 


+ 1.7 
-.6 


2,545 
10,512 


2,756 
10.709 


+8.3 
+ 1.9 


203 
2,388 


224 
2,404 


+ 10.3 






Crime Index total 3 


91,016 


91,393 


+ .4 


20,443 


20,348 


-.5 


13,057 


13,465 


+ 3.1 


2,591 


2,628 


+ 1.4 




34,723 

4,686 

25,466 

697 

5,074 
12,150 
7,181 

98 

5,809 

36,561 

692 

8,153 

185,865 

32,010 

47,014 

17,999 

175 

122,191 

303 

321 

3.196 


37,606 

4,848 

25,785 

756 

5,296 
12,646 
7,750 

79 

5,899 

35,548 

529 

7,573 

190,083 

35,540 

47,639 

19,529 

209 

127,135 

429 

469 

3,290 


+8.3 
+3.5 
+ 1.3 
+8.5 

+4.4 

+7.9 

-19.4 

+ 1.5 
-2.8 
-23.6 
-7.1 
+2,3 

+ 11.0 
+ 1.3 
+ 8.5 

+ 19.4 
+4.0 

+41.6 

+46.1 
+2.9 


2,132 
466 
207 
12 

751 

4,502 

500 

5 

799 

2,364 

13 

106 
2,434 

6,180 

915 

1,375 

34 

7,615 

49 

321 

3,196 


2,243 

432 

199 

4 

732 

4,545 

539 

11 

825 

2,088 

12 

2,849 

7,230 
1,020 
1.736 

53 
8,104 

98 
469 
3,290 


+5.2 
-7.3 
-3.9 
-66.7 

-2.5 
+ 1.0 
+7.8 

+ 120.0 

+3.3 
-11.7 

-7.7 
-11.3 
+ 17.1 

+ 17.0 
+ 11.5 
+26.3 
+ 55.9 

+6.4 
+ 100.0 
+46.1 

+2.9 


5,724 

2,052 

22,730 

245 

617 
1,252 
452 

110 

218 

5,917 

136 

562 

19,741 

6,218 

3,994 

2,887 

45 

20,826 

45 

170 

3,735 


6,431 

2,232 

22,943 

314 

657 
1,370 
469 

111 

236 

5,965 

95 

645 

20,395 

7,200 

4,180 

3,307 

35 

22,153 

62 

216 

3,980 


+ 12.4 

+8.8 

+.9 

+28.2 

+6.5 
+9.4 
+3.8 

+ .9 

+8.3 

+.8 

-30.1 

+ 14.8 

+3.3 

+ 15.8 
+4.7 
+ 14.5 
-22.2 
+6.4 
+37.8 
+27.1 
+6.6 


508 

124 

162 

3 

93 
362 
34 

5 

48 
425 


597 
153 
142 

5 

108 
371 

25 

8 

48 
397 


+ 17.5 
+23.4 
-12.3 
+66.7 

+ 16.1 
+2.5 
-26.5 

+60.0 








tolen property; buying, receiving, 
possessing 




rostitution and commercialized vice 

ex offenses (except forcible rape and 


rug abuse violations 


-6.6 


Iffenses against family and children 


31 
354 

2,234 
137 
342 
14 
1,882 
16 
170 
3,735 


32 
390 

2,441 

158 

397 

5 

1,825 

16 

216 

3,980 


+3.2 
+ 10.2 

+9.3 
+ 15.3 
+ 16.1 
-64.3 

-3.0 








agrancy 

JI other offenses (except traffic) 
uspicion (not included in totals) 


tafew and loitering law violations 

unaways 


+27.1 
+6.6 



'Violent c 
Property 
'includes 



213 



Table 56. — Rural County Arrests, Distribution by Age, 
[2,384 agencies; 1986 estimated population 24,242,000] 









Ages 


Ages 


Age 


Offense charged 


ages 


15 


under 


18 and 


Under 

10 


10-12 


13-14 


15 


,6 


.7 


18 


19 


20 


TOTAL 


834,593 


18,094 


76,705 


757,888 


1,595 


3,936 


12,563 


13,232 


19,148 


26,231 


36,230 


37,671 


39,070 




100.0 


2.2 


9.2 


90.8 


.2 


.5 


1.5 


1.6 


2.3 


3.1 


4.3 


4.5 








Murder and nonnegligenl manslaughter 


1.431 


13 


87 


1,344 




3 


10 


19 


23 


32 


43 


53 


59 


Forcible rape 


2.504 


66 


246 


2,258 


2 


15 


49 


40 


63 


77 


96 


104 


123 


Robbery 


2,392 


13 


231 


2,161 




1 


12 


40 


58 


120 


173 


149 


157 


Aggravated assault 


22,256 


300 


1,358 


20.898 


27 


53 


220 


180 


373 


505 


690 


801 


923 


Burglary 


32,550 


3,119 


10.070 


22,480 


258 


820 


2,041 


1,838 


2,318 


2,795 


3.387 


2,597 


2,246 


Larceny-theft 


42,913 


2,956 


9,610 


33,303 


247 


755 


1,954 


1,697 


2,219 


2.738 


3,244 


2,903 


2.407 


Motor vehicle theft 


7,758 


581 


2,653 


5,105 


11 


56 


514 


665 


714 


693 


601 


503 


434 




1.495 


184 


359 


1,136 


49 


60 


75 


53 


51 


71 


78 


79 


64 


Violent crime 


28,583 


392 


1,922 


26,661 


29 


72 


291 


279 


517 


734 


1.002 


1,107 


1.262 


Percent distribution' 


100.0 


1.4 


6.7 


93.3 


.1 


.3 


1.0 


1.0 


1.8 


2.6 


3.5 


3.9 


4.4 


Property crime 3 


84.716 


6,840 


22,692 


62,024 


565 


1,691 


4,584 


4,253 


5,302 


6,297 


7.310 


6,082 


5.151 


Percent distribution 1 


100.0 


8.1 


26.8 


73.2 


.7 


2.0 


5.4 


5.0 


6.3 


7.4 


8.6 


7.2 


6.1 


Crime Index total* 1 


113,299 


7,232 


24.614 


88,685 


594 


1,763 


4,875 


4,532 


5,819 


7,031 


8,312 


7,189 


6.413 


Percent distribution 1 


100.0 


6.4 


21.7 


78.3 


.5 


1.6 


4.3 


4.0 


5.1 


6.2 


7.3 


6.3 


5.7 


Other assaults 


47,254 


727 


3.005 


44,249 


75 


202 


450 


465 


741 


1,072 


1,629 


1,822 


2,073 




7,606 






6,988 


8 




64 


93 


144 


295 


354 


456 


480 


Fraud 


51,241 


34 


368 


50,873 


13 


3 


18 


38 


67 


229 


737 


1.375 


1,744 


Embezzlement 


1,188 


1 


9 


1,179 






1 




1 


7 


21 


34 


56 


Stolen property; buying, receiving. 




























possessing 


6,458 


188 


932 


5,526 


7 


31 


150 


168 


272 


304 


488 


433 


405 


Vandalism 


15,045 


1,980 


5,175 


9,870 


369 


601 


1,010 


858 


1,094 


1,243 


1,148 


924 


753 


Weapons; carrying, possessing, etc 


8,820 


136 


607 


8,213 


6 


27 


103 


96 


144 


231 


318 


329 


389 


















5 




3 


4 






Sex offenses (except forcible rape 




























and prostitution) 


6,589 


369 


914 


5,675 


26 


97 


246 


170 


180 


195 


230 


211 


180 






347 


2.705 






51 


285 


405 


729 


1,224 




2.174 


2.473 












j 


















Offenses against family and children 


9,097 


28 




8,961 


3 


3 


22 


19 


27 


62 


189 


206 


275 


Driving under the influence 


224,658 


89 


3.432 


221,226 


37 


10 


42 


126 


861 


2,356 


5,022 


6,962 


8,234 


Liquor laws 


45.626 


731 


10.655 


34,971 


52 


54 


625 


1,360 


3,123 


5,441 


6,129 


4.760 


3,798 


Drunkenness 


56.155 


90 


1,310 


54,845 


3 


9 


78 


183 


320 


717 


1,795 


2.124 


2,503 


Disorderly conduct 


24,933 


491 


2,253 


22,680 


40 


125 


326 


364 


567 


831 


1.231 


1.302 


1.255 


Vagrancy 


279 


15 


69 


210 


1 


1 


13 


14 


13 


27 


20 


15 


10 


All other offenses (except traffic) 


161,846 


2,547 


10,919 


150,927 


278 


538 


1,731 


1,813 


2,777 


3,782 


6,578 


7.316 


7.976 


Suspicion 


552 


47 


120 


432 


8 


11 


28 


22 


27 


24 


28 


25 


33 


Curfew and loitering law violations 


882 


234 


882 




2 


36 


196 


215 


234 


199 








Runaways 


7,951 


2,718 


7,951 




61 


360 


2.297 


2,280 


1,999 


954 









214 



ible 56. — Rural County Arrests, Distribution by Age, 1986 — Continued 

















Age 


































21 


22 


23 


24 


25-29 


30-34 


35-39 


40-44 


45-49 


50-54 


55-59 


60-64 


"ovef 




39,225 


39,381 


38,922 


37,88 


156,788 


112,856 


80,043 


50,472 


32,922 


22,022 


15,147 












4.7 


4.7 


4.7 


4. 


18.8 


13.5 


9.6 


6.0 


3.9 


2.6 


1.8 


1.2 








rder and nonneghgent manslaughter 


49 


59 


55 


6C 


285 


208 


151 


105 


65 










rcible rape 


106 


111 


100 


13. 


426 


364 


279 


168 


82 


55 










172 


138 


139 


12: 


494 


281 


191 


81 


23 










rravated assault 


947 


1,010 


1,065 


1,07! 


4,494 


3,284 


2.441 


1,611 


952 


584 








rglary 


1.846 


1,559 


1,40* 


1, 136 


3,955 


2,062 


1,151 


554 


252 
















1.645 

341 


1.57C 
247 


5,985 
953 


3,980 
581 


2,842 
329 


1,681 
221 


1,020 
98 


667 
88 










354 


313 


29 












57 


46 


56 


66 


177 


140 


139 


89 


53 


43 


22 


14 










1,274 


1.318 


1,359 


1.401 


5,699 


4,137 


3,062 


1.965 


























19.9 
11.070 


14.5 
6,763 


10.7 

4,461 


6.9 
2,545 


3.9 
1,423 


2.5 


1.7 






Property crime' 


4,484 


3.813 


3,450 


3.019 






Percent distribution 1 


5.3 


4.5 


4.1 


3.6 


13.1 


8.0 


5.3 


3.0 


1.7 




.8 


.5 


.5 


Crime Index tolal' 


5.758 


5.131 


4,809 


4,420 


16.769 


10,900 


7.523 


4,510 


2.545 












5.1 


4.5 


4.2 


3.9 


14.8 


9.6 


6.6 


4.0 


2.2 


1.5 


1.0 


.7 










2,096 


2,173 


2.280 


2,260 


9,655 


7,241 


4,969 


3,128 


2,022 


1,197 


757 


479 










445 


511 


408 


412 


1,539 


940 


626 


404 


193 


123 














2,053 


2,378 


2,299 


2.41C 


11,366 


9,381 


7,305 


4,262 


2,417 


1,514 










47 


40 


60 


68 


234 


195 


149 


121 


63 














en property; buying, receiving. 




























assessing 


382 


335 


307 


317 


1,017 


708 


462 


275 


162 


97 








dalism 


674 


554 


542 


530 


1,954 


1,129 


710 


384 


225 


138 


81 






ipons; carrying, possessing, etc. 


431 


434 


379 


404 


1,773 


1,194 


952 


573 


396 


242 


170 


108 


121 


titution and commercialized vice 


8 


10 










19 












2 


offenses (except forcible rape 


























d prostitution) 


195 


172 


203 


197 


907 


900 


796 


546 


363 


220 


186 






g abuse violations 


2,484 


2,730 


2,767 


2,629 


10,872 


6,690 


3,594 


1.467 


719 


400 


201 






nbling 


11 


14 


15 


14 


74 


90 


96 


84 


79 


75 








nses against family and children 


311 


359 


421 


442 


1,989 


1,858 


1,405 


738 


388 












9,992 


10,440 


10,697 


10,652 


46,401 


35,095 


25,781 


17,345 


12,005 


8,439 


6,427 


4,049 










1,940 


1,690 


1,355 


1,261 


4,587 


2,860 


2,011 


1.421 


1.059 


767 


548 


371 








nkenness 


2,604 


2,721 


2,624 


2,498 


10,715 


7,847 


5,745 


4,178 


3,190 


2,474 








rderly conduct 


1,388 


1,252 


1,253 


1,168 


4,565 


3,162 


2,110 


1,415 


1.015 


603 


433 


250 


278 




12 


14 


10 


11 


28 


30 


23 


14 












other offenses (except traffic) 


8,372 


8,400 


8,461 


8,156 


32,210 


22,546 


15,725 


9,575 


6,042 


3,842 


2.503 


1,619 


1.606 




22 


23 


21 


29 


88 




42 














Few and loitenng law violations 




























aways 


1 



























Because of rounding, the percentages may not add to total. 
^Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 

Property cnmes are offenses of burglary, larceny-theft, motor vehicle theft, and arson 
'Includes arson. 



215 



Table 57. — Rural County Arrests of Persons under 15, 18, 21, and 25 Years of Age, 1986 
[2,384 agencies; 1986 estimated population 24,242,000] 



Number of persons arrested 



Murder and i 
Forcible rape 
Robbery 
Aggravated assault 

Burglary 

Larceny-theft 
Motor vehicle theft 
Arson 



gligent manslaughte 



Violent crime 1 
Property crime 2 



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 loitenng law violations 

Runaways 



'Violent cri 
2 Property c: 
'Includes ai 
4 Less than 



2,504 
2,392 
22,256 
32,550 
42,913 
7,758 
1,495 



47,254 
7,606 
51,241 



45.626 

56,155 

24,933 

279 

161,846 

552 

882 



7,872 
24,249 
25,501 

5,446 



3,005 


8,529 


17,338 


618 


1,908 


3,684 


368 


4.224 


13,364 


9 


120 


335 


932 


2,258 


3,599 


5,175 


8,000 


10,300 


607 


1.643 


3.291 


19 


40 


74 


914 


1.535 


2,302 


2,705 


9,345 


19,955 


12 


33 


87 


136 


806 


2.339 


3,432 


23,650 


65,431 


0,655 


25,342 


31,588 


1,310 


7,732 


18,179 


2.253 


6,041 


11,102 



able 58. — Rural County Arrests, Distribution by Sex, 1986 

1,384 agencies; 1986 estimated population 24,242,000] 





Number of persons arrested 


ir 


female 


Percent distribution' 




Total 


Male 


Female 


Total 


Male 


Female 


TOTAL 


834,593 


709.599 


124,994 


85.0 


15.0 


100.0 


100.0 


100.0 


urder and nonnegtigent manslaughter 

orcible rape 

obbery 

5gravated assault 

urglary 

arceny-theft 

otor vehicle theft 


1,431 
2.504 
2,392 
22,256 
32,550 
42.913 
7,758 
1,495 


1,219 
2,471 
2,211 
19,723 
30,398 
34,430 
7,025 
1,305 


212 
33 

181 
2,533 
2,152 
8,483 

733 

190 


85.2 
98.7 
92.4 
88.6 
93.4 
80.2 
90.6 
87.3 


14.8 
1.3 
7.6 

11.4 
6.6 

19.8 

12.7 


.2 
.3 
.3 
2.7 
3.9 
5.1 


.3 
.3 
2.8 
4.3 
4.9 
1.0 


.2 
( 2 ) 

.1 
2.0 
1.7 
6.8 

.6 

.2 


VI n ! 


28,583 
84,716 


25,624 
73.158 


2,959 
11,558 


89.6 
86.4 


10.4 
13.6 


3.4 
10.2 


3.6 
10.3 














113,299 


98,782 


14,517 


87.2 


12.8 


13.6 


13.9 










47,254 
7,606 

51,241 
1,188 
6,458 

15,045 
8.820 

204 

6,589 

44,181 

729 

9,097 

224,658 

45,626 

56,155 

24,933 

279 

161,846 

552 

882 

7,951 


40,324 
5,207 

27,207 
844 
5,759 

13,558 
8,319 

87 

6,336 

37,856 

622 

8,379 

202,912 

37.790 

51,629 

21,305 

239 

137,777 

485 

609 

3,573 


6,930 
2,399 
24,034 
344 
699 
1,487 
501 

117 
253 
6,325 
107 
718 
21,746 

7,836 

4.526 

3,628 

40 

24,069 

67 

273 

4,378 


85.3 
68.5 
53.1 
71.0 
89.2 
90.1 
94.3 

42.6 

96.2 

85 7 

8. 

92.1 

90.3 

82.8 
91.9 
85.4 
85.7 
85.1 
87.9 
69.0 
44.9 


14.7 
31.5 
46.9 
29.0 
10.8 
9.9 
5.7 

57.4 
3.8 
14.3 
14.7 
7,9 
9.7 

17.2 
8.1 
14.6 
14.3 
14.9 
12.1 
31.0 
55.1 


5.7 
.9 
6.1 

.8 
1.8 
1.1 

( 2 ) 
.8 

5.3 
.1 

1.1 
26.9 

5.5 
6.7 
3.0 
( 2 ) 
19.4 

1.0 


5.7 
.7 
3.8 

.8 
1.9 
1.2 

( 2 ) 
.9 
5.3 
.1 
1.2 
28.6 

5.3 
7.3 
3.0 
( 2 ) 
19.4 

.1 

.5 




srgery and counterfeiting 

mbezzlement 

olen property; buying, receiving, possessing . 


1.9 

19.2 

.3 

.6 


eapons; carrying, possessing, etc. 

ostitution and commercialized vice 

x offenses (except forcible rape and prostitution) 

rug abuse violations 

ambling 

Fenses against family and children 


.4 

.2 
5.1 

.6 


Kjuor laws 

runkenness 

igrancy 

1 other offenses (except traffic) 

spicion ....... 

urfew and loitenng law violations 

unaways 


6.3 
3.6 
2.9 
( 2 ) 
19.3 
.1 
.2 
3.5 



Because of rounding, the percentages may not add to total. 

Less than one-tenth of 1 percent. 

■Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 
4 Property crimes are offenses of burglary', larceny-theft, motor vehicle theft, and arson 
includes arson. 



Table 59. — Rural County Arrests, Distribution by Race, 1986 

[2,371 agencies; 1986 estimated population 24,188,000] 





Total arrests 


Percent distribution' 


Offense charged 


Total 


Wh,,e 


Black 


Alaskan 


Islander 


Total 


White 


Black 


Amencan 

Alaskan 
Native 


Pacific 

Islander 


TOTAL 


829,064 


688,134 


118,455 


16,699 


5,776 


100.0 


83.0 


14.3 


2.0 


.7 


Murder and nonnegligent 

manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 


1.432 
2,502 
2,391 
22,230 
32,464 
42,871 
7,746 
1,494 


998 
1.806 
1,575 
16,215 
26,873 
35,098 
6,750 
1,319 


385 

625 

763 

5,424 

4,700 

6,747 

719 

157 


45 
52 
39 
456 
566 
486 
177 
7 


19 
14 
135 
325 
540 
100 


100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


69.7 
72.2 
65.9 
72.9 
82.8 
81.9 
87.1 
88.3 


26.9 
25.0 
31.9 
24.4 
14.5 
15.7 
9.3 
10.5 


3.1 
2.1 
1.6 

2.1 
1.7 
1.1 
2.3 
.5 


| 


3 
8 
6 
6 


3 
3 
7 


Violent crime* 


28,555 
84,575 


20.594 
70,040 


7,197 
12,323 


592 
1,236 


172 
976 


100.0 
100.0 


72.1 
82.8 


25.2 
14.6 


2.1 
1.5 














113,130 


90,634 


19,520 


1,828 


1,148 


100.0 


80.1 


17.3 


1.6 










47.224 
7,596 

51,219 
1,188 

6,448 
15,030 
8,810 

204 

6,572 

44,118 

729 

9,076 

219.701 

45,617 

56,149 

24,902 

278 

161,698 

550 

882 

7,943 


35,296 

5,716 

37,356 

874 

5,326 
13,409 
7,508 

140 

5,950 

37.274 

452 

5,826 

192,761 

41,487 

49,873 

20,348 

251 

129,323 

494 

633 

7,203 


10,704 

1,731 

13,290 

296 

978 
1,330 
1.124 

60 

517 
5,992 

223 
3,032 
20,437 

3,099 

4,275 

3,449 

17 

28,051 

49 

17 

264 


851 

107 

502 

7 

109 
194 
92 

3 

79 
558 

144 
5,149 

837 

1,956 

1,007 

9 

3,101 

7 

24 


373 
42 
71 
11 

35 
97 
86 

1 

26 
294 
53 
74 
1.354 

194 

45 

98 

1 

1,223 

342 


100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 

100.0 

100.0 
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 
75.3 
72.9 
73.6 

82.6 
89.2 
85.2 

68.6 

90.5 
84.5 
62.0 
64.2 
87.7 

90.9 
88.8 
81.7 
90.3 
80.0 
89.8 
71.8 
90.7 


22.7 
22.8 
25.9 
24.9 

15.2 
8.8 
12.8 

29.4 

7.9 

30.6 
33.4 
9.3 

6.8 
7.6 
13.9 

17.3 
8.9 

3.3 


1.4 
1.0 

1.7 
1.3 
1.0 

1.5 

1.2 
1.3 
.1 
1.6 
2.3 

1.8 
3.5 
4.0 
3.2 
1.9 
1.3 
2.7 
1.7 
















Stolen property, buying, receiving, 
















Sex offenses (except forcible 






.7 


Gambling 


7.3 

.8 






Liquor laws 

Drunkenness 


1 




4 














Runaways 


4.3 



See footnotes at end of table. 



able 59. — Rural County Arrests, Distribution by Race, 1986 — Continued 





Arrests under 18 


Percent distribution 1 


Offense charged 


Total 


White 


Black 


American 
Native 


Islander 


Total 


White 


Black 


Alaskan 


Pacific 
Islander 




76,607 


69.011 


4,518 


1,329 


1,749 


100.0 


90.1 


5.9 


1.7 










87 

245 

231 

1.358 

10,058 

9,609 

2.653 

359 


67 

184 

172 

1,082 

9,050 

8,435 

2.413 

336 


16 

54 
46 
231 
673 
771 
127 
16 


7 
9 

29 
177 
134 

67 




100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


77.0 
75.1 
74.5 
79.7 
90.0 
87.8 
91.0 
93.6 


18.4 
22.0 
19.9 
17.0 
6.7 
8.0 
4.8 
4.5 


4.6 
2.9 
3.9 
2.1 
1.8 
1.4 
2.5 








obbery 


16 

158 

269 

46 

3 




ggravated assault 


1.2 


arceny-theft 


2.8 












1,921 
22,679 


1,505 
20,234 


347 
1,587 


49 

382 


20 
476 


100.0 
100.0 


78.3 
89.2 


18.1 
7.0 


2.6 

1.7 












Crime Index total 4 


24.600 


21,739 


1,934 


431 


496 


100.0 


88.4 


7.9 


1.8 


2.0 


ther assaults 

orgery and counterfeiting 


3,005 

617 

368 

9 

931 
5,174 
607 

19 

914 
2,692 

12 

135 

3,383 

10,654 
1,310 

2,248 

69 

10.915 

120 

882 

7,943 


2.371 
555 
305 

823 

4.924 

537 

821 

2,433 

7 

123 

3,223 

10.331 
1,240 
1,922 
66 
9,622 
111 
633 
7,203 


444 
45 
52 

69 

149 
51 

3 

73 
138 
1 
9 
82 

103 
28 
206 
1 
845 
3 

17 
264 


54 
12 
6 

23 
50 
5 

2 

13 
36 

60 

154 
40 
111 
2 
165 
6 
24 
134 


136 
5 
5 

16 
51 
14 

7 
85 
4 

18 

66 
2 
9 

283 

208 
342 


100.0 
100.0 
100.0 
100.0 

100.0 
100.0 

100.0 

100.0 

100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


78.9 
90.0 
82.9 
88.9 

88.4 
95.2 
88.5 

73.7 

89.8 
90.4 
58.3 
91.1 
95.3 

97.0 
94.7 
85.5 
95.7 
88.2 
92.5 
71.8 
90.7 


14.8 

7.3 
14.1 
11.1 

7.4 
2.9 
8.4 

15.8 

8.0 
5.1 
8.3 
6.7 
2.4 

1.0 
2.1 
9.2 
1.4 
7.7 
2.5 
1.9 
3.3 


1.8 
1.9 
1.6 


4.5 
.8 
1.4 


olen property; buying, receiving, 
assessing 


2.5 
1.0 
.8 

10.5 

1.4 
1.3 

.7 
1.8 

1.4 
3.1 
4.9 
2.9 
1.5 
5.0 
2.7 
1.7 


1.7 










ix offenses (except forcible 

rape and prostitution) 


.8 


ambling 

Ffenses against family and children 


33.3 
1.5 






















ispicion 

urfew and loitering law violations 

unaways 




23.6 

4.3 



See footnotes at end of table. 



219 



Table 59. — Rural County Arrests, Distribution by Race, 1986 — Continued 





Arrests 18 and over 


Percent distribution 1 


Offense charged 


Total 


„,„ 


Black 


Alaskan 


Pacific 
Islander 


Total 


Wh„e 


Black 


American 
Alaskan 


Pacific 




752,457 


619,123 


113,937 


15,370 


4,027 


100.0 


82.3 


15.1 


2.0 








Murder and nonnegligenl manslaughter 

Forcible rape 

Robbery 


1.345 
2,257 
2.160 
20,872 
22,406 
33,262 
5,093 
1,135 


931 
1,622 
1,403 
15,133 
17,823 
26,663 
4,337 
983 


369 

571 

717 

5,193 

4,027 

5,976 

592 

141 


45 
30 
427 
389 
352 
110 
3 


4 
19 
10 
119 
167 
271 
54 
8 


100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


69.2 
71.9 
65.0 
72.5 
79.5 
80.2 
85.2 
86.6 


27.4 
25.3 
33.2 
24.9 
18.0 
18.0 
11.6 
12.4 


3.0 
2.0 
1.4 
2.0 
1.7 

2.2 
.3 


























26.634 
61,896 


19,089 
49,806 


6,850 
10,736 


543 
854 


152 
500 


100.0 
100.0 


71.7 
80.5 


25.7 
17.3 


2.0 
1.4 




Property crime' 




Crime Index total 4 


88,530 


68,895 


17,586 


1,397 


652 


100.0 


77.8 


19.9 


1.6 




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 


44,219 
6,979 

50,851 
1,179 

5,517 
9,856 
8,203 

185 

5,658 

41,426 

717 

8,941 

216,318 

34,963 
54.839 
22,654 

209 
150.783 

430 


32,925 

5,161 

37,051 

866 

4,503 
8.485 
6,971 

126 

5.129 

34,841 

445 

5,703 

189,538 

31,156 
48,633 
18,426 
185 
119,701 
383 


10,260 

1,686 

13,238 

295 

909 
1,181 
1.073 

57 

444 
5,854 

222 
3,023 
20,355 

2,996 

4,247 
3,243 

27,206 
46 


797 

95 

496 

7 

86 
144 

87 

1 

66 

522 

1 

143 

683 

1,916 

896 

7 

2,936 

1 


237 
37 
66 
11 

19 
46 

72 

1 

19 
209 
49 
72 
1,336 

128 
43 
89 
1 

940 


100.0 
100.0 
100.0 
100.0 

100.0 
100.0 

100.0 

100.0 

100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


74.5 
74.0 
72.9 
73.5 

81.6 
86.1 
85.0 

68.1 

90.7 
84.1 
62.1 
63.8 
87.6 

89.1 
88.7 
81.3 
88.5 
79.4 
89.1 


23.2 
24.2 
26.0 
25.0 

16.5 
12.0 
13.1 

30.8 

7.8 
14.1 
31.0 
33.8 

9.4 

8.6 
7.7 
14.3 
7.7 
18.0 
10.7 


1.8 

1.0 
.6 

1.6 
1.5 

.5 

1.3 

1.6 

2.4 

2.0 
3.5 
4.0 
3.3 
1.9 
.2 


6. 






Drunkenness 




Vagrancy 




Suspicion 

Curfew and loitering law violations 
Runaways 













Because of rounding, the percentages may not add to total. 

2 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 
4 Includes arson. 



able 60. — Rural County Arrests, Distribution by Ethnic Origin, 1986 

!,096 agencies; 1986 estimated population 22,384.000] 





Total ail ages 




Number of arrests 


Percent distribution 




Total 


Hispanic 


Non- 


Total 


Hispanic 


Non- 
Hispanic 




770,287 


43,466 


726,821 


100.0 


5.6 








urder and nonneghgent manslaughter 


1,329 
2,299 
2,077 
20,153 
29,905 
39,520 
7,217 
1,375 


95 

93 

115 

1,247 

1,460 

1,550 

590 

39 


1,234 
2,206 
1,962 
18,906 
28.445 
37,970 
6,627 
1,336 


100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


7.1 
4.0 
5.5 
6.2 
4.9 
3.9 
8.2 
2.8 


92.9 






ggravated assault 




urglary 


95.1 














Violent crime 1 

Property cnme : 


25.858 
78,017 


1,550 
3,639 


24,308 
74,378 


100.0 
100.0 


6.0 

4.7 


94.0 
95.3 


Crime Index total' 


103,875 


5,189 


98,686 


100.0 


5.0 


95.0 




45,509 
7,101 

49,450 
1,159 
5,938 

14.524 
8.218 

187 

6,089 

40,500 

662 

8,318 

207,566 

44.209 

53,388 

23,015 

258 

141.435 

490 

807 

7.589 


1,324 
246 
734 
8 
305 
321 
510 

11 

245 

3,251 

12 

246 

13,398 

1,109 

7,452 

1.743 

31 

6,981 

29 

29 

292 


44,185 
6,855 

48,716 
1,151 
5,633 

14,203 
7,708 

176 

5,844 

37,249 

650 

8,072 

194,168 

43,100 
45,936 

21,272 

227 

134,454 

461 

778 

7,297 


100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 

100.0 
100.0 
100.0 
100.0 
100.0 

100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


2.9 
3.5 
1.5 
.7 
5.1 
2.2 
6.2 

5.9 

4.0 
8.0 
1.8 
3.0 
6.5 

2.5 
14.0 
7.6 
12.0 
4.9 
5.9 
3.6 
3.8 












nbezzlement 

olen property; buying, receiving, possessing 

mdalism 

eapons, carrying, possessing, etc 


99.3 
94.9 
97.8 
93.8 


x offenses (except forcible 
rape and prostitution) 


96.0 


























igrancy 

1 other offenses (except traffic) 


88.0 
95.1 















See footnotes at end of table. 



Table 60. — Rural County Arrests, Distribution by Ethnic Origin, 1986 — Continued 



Offense charged 



Murder and nonneghgenl manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 



1.220 
9.400 
9,046 
2,497 



9.034 

8,759 

2,371 

327 



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) 

Curfew and loitering law violations 

Runaways 



10,241 
1,234 
2,093 



See footnotes at end of table. 



Table 60. — Rural County Arrests, Distribution by Ethnic Origin, 1986 — Continued 





18 years of age and over 




Number of arrests 


Percent distribution 




Total 


Hispanic 


Non- 
Hispanic 


Total 


Hispanic 


Non- 
Hispanic 




698,125 


40,477 


657,648 


100.0 


5.8 


94.2 




Murder and nonneghgent manslaughter 

: orcible rape 


1,249 
2.072 
1,870 
18.933 
20.505 
30,474 
4,720 
1,038 


89 
83 

1.160 
1,094 
1,263 
464 
29 


1,160 
1,989 
1,772 
17,773 
19,411 
29,211 
4,256 
1,009 


100.0 
100.0 
100,0 
100.0 
100.0 
100.0 
100.0 
100.0 


7.1 
4.0 
5.2 
6.1 
5.3 
4.1 
9.8 
2.8 


92.9 
96.0 




93.9 
94.7 
95.9 
90.2 


Burglary 

.arceny-theft 

Motor vehicle theft 








24,124 
56,737 


1,430 
2,850 


22,694 
53.887 


100.0 
100.0 


5.9 
5.0 






95.0 




Crime Index total 3 


80,861 


4,280 


76,581 


100.0 


5.3 


94.7 




42.633 
6.509 

49,089 
1,150 
5,081 
9,536 
7.638 

169 

5,229 

38,008 

651 

8,191 

204,355 

33,968 
52,154 
20,922 
197 
131.409 
375 


1,223 
225 
724 
8 
259 
208 
487 

230 

3,076 

11 

239 

13,220 

870 
7,235 
1.574 

21 
6,554 

22 


41,410 
6.284 

48,365 
1.142 
4.822 
9,328 
7.151 

158 

4,999 

34,932 

640 

7.952 

191,135 

33.098 
44.919 
19,348 
176 
124,855 
353 


100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

1000 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


2.9 
3.5 
1.5 
.7 
5.1 
2.2 
6.4 

6.5 
4.4 
8.1 
1.7 

6.5 

2.6 
13.9 

7.5 
10.7 

5.0 

5.9 


97.1 
96.5 


-orgery and counterfeiting 




99 3 


tolen property, buying, receiving, possessing 


94.9 






























Jquor laws 

drunkenness 

Disorderly conduct 


97.4 
86.1 
92.5 






uspicion 


94.1 















'Violent crimes i 
Property crimes 
■Includes arson. 



Table 61. — Suburban Area 1 Arrest Trends, 1985-1986 

[4,479 agencies; 1986 estimated population 74,665,000] 





Number of persons arrested 


Offense charged 


Total all ages 


Under 18 years of age 


18 years of age and over 


1985 


1986 


dES 


1985 


1986 


Chang"' 


1985 


1986 


cha^g"' 




3,068,776 


3,218,571 


+4.9 


569,460 


589,110 


+3.5 


2.499,316 


2,629,461 










3,656 
8,221 
23,993 

73,481 
120,289 

355,773 
32,323 
5.428 


3,789 
8.443 
25,414 
84,653 
122,657 
375,616 
37,517 
5,284 


+3.6 
+2.7 
+ 5.9 

+ 15.2 
+2.0 
+ 5.6 

+ 16.1 
-2.7 


261 
1,272 
5,118 
10,947 
49,684 
123,145 
13,106 
2,726 


268 
1,295 
4,908 
11,473 
48,002 
127,211 
15,499 
2,542 


+2.7 
+ 1.8 

+4.8 
-3.4 
+3.3 
+ 18.3 
-6.7 


3,395 
6,949 
18,875 
62,534 
70,605 
232,628 
19,217 
2,702 


3,521 
7,148 
20,506 
73,180 
74,655 
248,405 
22,018 
2,742 


+3.7 








+8.6 


Aggravated assault 


+ 17.0 












+ 1.5 








109,351 
513,813 


122,299 
541,074 


+ 11.8 
+5.3 


17,598 
188,661 


17,944 
193,254 


+2.0 
+2.4 


91,753 
325,152 


104,355 
347,820 




Property crime" 1 


+7.0 




623,164 


663,373 


+6.5 


206,259 


211,198 


+2.4 


416,905 


452,175 










169,388 

22,085 

104,941 

3,574 

34,786 
75,251 
42,543 

6,797 

26,182 

193,468 

4.515 

18,665 
592.930 

140.897 
196,150 
143,551 
3.853 
599,682 
2,986 
17.734 
48.620 


186.854 

24.128 

111,258 

3,947 

37.316 
78,075 
45.248 

7.785 

25,779 

192,681 

4,510 

19.175 
594,388 

161,411 
197,237 
148,682 
4,449 
644,824 
2,774 
19.500 
47.951 


+ 10.3 
+9.3 
+6.0 

+ 10.4 

+7.3 
+ 3.8 
+6.4 

+ 14.5 

-1.5 

-.1 

+2.7 
+ .2 

+ 14.6 

+3.6 

+ 15.5 
+7.5 
-7.1 

+ 10.0 


27.923 
2,326 
2,030 

241 

9,385 
38,142 
8,085 

160 

4,961 

26,154 

115 

744 
7,843 

46,613 
7.427 

28,567 
1,019 

85,112 
1,132 

17.734 

48,620 


29,841 
2,277 
2,166 
244 

9.903 
37,728 
7,875 

190 

4,880 

22.280 

136 

761 

9,270 

55,767 
8,675 

30,153 
967 

87,348 
1,150 

19,500 

47,951 


+6.9 
-2.1 
+6.7 

+5.5 
-2.6 
+ 18.8 

-1.6 

-14.8 
+ 18.3 
+2.3 
+ 18.2 

+ 19.6 
+ 16.8 
+5.6 
-5.1 
+2.6 

+ 10.0 
-1.4 


141,465 

19,759 

102,911 

3,333 

25,401 
37,109 
34,458 

6,637 

21,221 

167,314 

4,400 

17,921 
585,087 

94,284 
188,723 
114,984 
2,834 
514,570 
1,854 


157,013 

21,851 

109,092 

3,703 

27,413 
40,347 
37,373 

7,595 

20,899 

170,401 
4,374 
18,414 

585,118 

105,644 
188,562 
118,529 

3,482 

557,476 

1,624 








Embezzlement 

Stolen property; buying, receiving, 

possessing 
Vandalism 
Weapons; carrying, possessing, etc 

Prostitution and commercialized vice 
Sex offenses (except forcible rape 


+6.0 
+ 11.1 

+7.9 
+8.7 
+8.5 

+ 14.4 


Drug abuse violations 

Gambling 


+ 1.8 
-.6 




( 5 ) 


Liquor laws 

Drunkenness 


+ 12.0 
-.1 




+22.9 


All other offenses (except traffic) 
Suspicion (not included in totals) 
Curfew and loitering law violations 


+8.3 
-12.4 







'includes suburban city and county law enforcement agencies within metropolitan areas 
■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. 
5 Less than one-tenth of 1 percent. 



Table 62. — Suburban Area 1 Arrest Trends, Sex, 1985-1986 

[4,479 agencies; 1986 estimated population 74,665,000] 



Murder and nonnegligent 

manslaughter 
Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 



3,200 
8,114 
22,343 
64,347 
111,274 
245.669 
29,125 
4,807 



3,357 
8,320 
23,556 
74,538 
112,8 



1,242 
4,804 
9,321 
45,966 
90,862 
11,472 
2,475 



94,713 
13,733 
2,297 



456 

107 

1,650 

9,134 

9,015 

110,104 

3,198 

621 



1,858 
10,115 
9,813 
115,078 
3,605 
639 



28 

30 

314 

1,626 

3,718 

32,283 

1,634 

251 



143,173 


158,196 


14,677 


15,868 


55,612 


58,212 


2,315 


2.529 


30.671 


33.048 


68,338 


70.336 


39.715 


42,261 



9,003 

34.372 
7,467 



Violent crime* 
Property cnme' 



Crime Index total 



Dther assaults 

Forger)* and counterfeiting 

Embezzlement 

stolen property; buying, receiving, 

possessing 
Vandalism ... 
Weapons; carrying, possessing, etc. 

Prostitution and commercialized 

Sex offenses (except forcible rape and 

Drug abuse violations 

jambling 

Offenses against family and children 

Driving under the influence 

Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

Ml other offenses (except traffic) 

Suspicion (not included in totals) 

Curfew and loitering law violations 

Runaways 



includes surburban city and county law enforcement agencies wilhin metropolitan areas. Excludes i 
-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. 



24.983 


24.476 


165.013 


163.170 


3,862 


3,895 


16,765 


17.038 


520.885 


522.797 


115,144 


131,530 


177,45" 


178.629 


120,775 


125.521 


3,343 


3,585 


506.478 


543,913 


2.509 


2,302 


12.963 


14,354 


21.650 


21.016 



34,305 
6.127 
23,353 



26,215 


28,658 


7,408 


8,260 


49,329 


53,046 


1,259 


1,418 


4.115 


4,268 


6.913 


7.739 


2,828 


2.987 



28,455 


29.511 


653 


615 


1,900 


2,137 


72,045 


71,591 


25,753 


29.881 


18,691 


18,608 


22,776 


23,161 



2.308 


14,560 


1,300 


1.317 


5,214 


5,406 


136 


167 


7,272 


18,121 


217 


254 


4,771 


5,146 


6,970 


26,935 



are also included in other groups. 



Table 63. — Suburban Area Arrests, Distribution by Age, 
[5,097 agencies; 1986 estimated population 83,371,000] 





Tolal 


Ages 


Ages 


Ages 


Age 


Offense charged 




under 


under 


18 and 


Under 






















ages 


15 


18 


over 


10 


10-12 


13-14 


15 


16 


17 


18 


19 


20 


21 


TOTAL 


3,603,131 


200,485 


660.963 


2,942,:68 


16,526 


46,909 


137,050 


129,381 


158,160 


172,937 


183,736 


177,623 


170,413 


166.482 


Percent distribution 1 


100.0 


5.6 


18.3 


81.7 


.5 


1.3 


3.8 


3.6 


4.4 


4.8 


5.1 


4.9 


4.7 


4.6 






Murder and nonnegligent 






























manslaughter 


4.283 


22 


297 


3,986 


3 


2 


17 


53 


104 


118 


189 


211 


224 


215 


Forcible rape 


9,558 


464 


1.451 


8,107 


19 


94 


351 


285 


352 


350 


389 


394 


411 


444 


Robbery 


28,548 


1,225 


5.525 


23,023 


24 


230 


971 


1,124 


1.400 


1,776 


2,050 


1,916 


1,772 


1,721 


Aggravated assault 


94,863 


3,816 


12,748 


82.115 


281 


916 


2,619 


2.354 


3,102 


3,476 


3.794 


3,796 


3,945 


4,253 


Burglary 


137,083 


17,879 


53,430 


83,653 


1,549 


4,283 


12,047 


11,024 


12,153 


12,374 


1 1,054 


9,142 


7,317 


6,250 


Larcenv-theft 


421,112 


55.909 


142,424 


278,688 


5,057 


15,793 


35,059 


26,958 


30,121 


29,436 


25,836 


20,887 


17,403 


15.809 


Motor vehicle theft 


41.003 


3,955 


16.945 


24,058 


69 


411 


3,475 


4.308 


4,633 


4.049 


3,121 


2,492 


2,031 


1,766 


Arson 


5,848 


1,657 


2,725 


3,123 


438 


496 


723 


427 


344 


297 


269 


249 


179 


174 


Violent crime 1 


137,252 


5,527 


20,021 


117,231 


327 


1,242 


3.958 


3,816 


4,958 


5,720 


6,422 


6,317 


6,352 


6.633 


Percent distribution 2 


100.0 


4.0 


14.6 


85.4 


.2 




2.9 


2.8 


3.6 


4.2 


4.7 


4.6 


4.6 


4.8 




605.046 


79,400 


215,524 


389,522 


7,113 


20,983 


51,304 


42.717 


47,251 


46,156 


40,280 


32,770 


26,930 


23,999 


Percent distribution 2 


100.0 


13.1 


35.6 


64.4 


1.2 


3.5 


8.5 


7.1 


7.8 


7.6 


6.7 


5.4 


4.5 


4.0 






Crime Index total 5 


742,298 


84,927 


235.545 


506,753 


7.440 


22,225 


55,262 


46.533 


52,209 


51,876 


46,702 


39,087 


33,282 


30,632 


Percent distribution 2 


100.0 


11.4 


31.7 


68.3 


1.0 


3.0 


7.4 


6.3 


7.0 


7.0 


6.3 


5.3 


4.5 


4.1 


Other assaults 


211,381 


11,549 


33.556 


177,825 


924 


3,031 


7,594 


6.216 


7.481 


8,310 


7,907 


8,252 


8,859 


9,449 


Forgery and counterfeiting 


26.962 


349 


2,519 


24,443 


13 




292 


376 


672 


1,122 


1,407 


1,520 


1,555 


1,544 


Fraud 


118,782 


392 


2,323 


116,459 


31 


60 


301 


344 


564 


1,023 


2,110 


3,257 


4,357 


5,251 


Embezzlement 


4.341 


17 


266 


4,075 




3 


14 


23 


80 


146 


180 


215 


189 


175 


Stolen property; buying, 






























receiving, possessing 


41,542 


2.881 


11.124 


30,418 


122 


542 


2,217 


2.271 


2,863 


3,109 


3,274 


2,771 


2,400 


2,148 


Vandalism 


88.207 


19.498 


42,048 


46,159 


2,872 


5,920 


10,706 


7,300 


7,912 


7,338 


5.848 


4,437 


3,738 


3.363 


Weapons; carrying. 






























possessing, elc 


50.623 


2.287 


8.695 


41,928 


105 


463 


1,719 


1.687 


2,177 


2,544 


2,979 


2,724 


2,528 


2,569 


Prostitution and 






























commercialized vice 


10,266 


51 


251 


10,015 




7 


35 


39 


57 


104 


339 


425 


546 


58! 


Sex offenses (except forcible 






























rape and prostitution) 


28.792 


2.328 


5,427 


23,365 


192 


589 


1,547 


1.048 


1,013 


1,038 


902 


900 


1.007 


96c 


Drug abuse violations 


213,639 


3.386 


24,272 


189,367 


60 


331 


2,995 


4,385 


6,972 


9,529 


11,862 


12,316 


12,169 


12,796" 


Gambling 


5,279 


36 


150 


5,129 


1 


5 


30 


31 


32 


51 


76 


81 


109 


144 


Offenses against family and 






























children 


21.923 


281 


840 


21.083 


37 


44 


200 


193 


183 


183 


501 


553 


617 


so; 


Driving under the influence 


643.063 


176 


9,991 


633,072 


45 


11 


120 


374 


2,573 


6,868 


15,044 


20,256 


23,847 


30,69c 


Liquor laws 


181.034 


4,759 


62.110 


118,924 


275 


262 


4,222 


9.138 


19,128 


29,085 


32,334 


25,161 


18,203 


6,2o: 


Drunkenness 


227,041 


1,130 


9,908 


217.133 


38 


90 


1,002 


1,608 


2,801 


4,369 


7,065 


8,134 


8,499 


10,22! 


Disorderly conduct 


179,161 


10,142 


35,081 


144,080 


841 


2,511 


6,790 


6.412 


8,464 


10,063 


11,025 


10,651 


10,295 


10.65." 


Vagrancy 


4,863 


251 


1.055 


3.808 


20 


40 


191 


232 


288 


284 


364 


322 


261 


241 


All other offenses (except 






























traffic) 


724,170 


28,882 


97.852 


626,318 


2,544 


6,357 


19,981 


19,929 


23,267 


25,774 


33,619 


36,422 


37,834 


37.92C 


Suspicion 


3.094 


384 


1,280 


1.814 


28 


86 


270 


316 


300 


280 


198 


139 


118 


IK 


Curfew and loitering law 






























violations 


21,861 


5,722 


21,861 




139 


864 


4.719 


5,253 


6,482 


4,404 










Runaways 


54.809 


21,057 


54,809 




790 


3,424 


16,843 


15,673 


12,642 


5,437 










See footnotes at end of table. 






























226 































Tabic 63. — Suburban Area 1 Arrests, Distribution by Age, 1986 — Continued 





Age 


Offense charged 


22 


:■< 


24 


25-29 


30.34 


35-39 


40-44 


45-49 


50-54 


55-59 


60-64 


65 and 




162,797 
4.5 


157,791 

4.4 


151,836 
4.2 


634,364 
17.6 


425,646 
11.8 


278,904 

7.7 


164,588 
4.6 


101,755 
2.8 


66,189 
1.8 


45,281 
1.3 


28,095 
.8 


26,668 








Murder and nonnegligent 


216 
427 
1,587 
4,346 
5,603 
14,392 
1,570 
175 


198 
407 
1,567 
4.389 
4,982 
13,439 
1,417 
168 


166 
388 
1,376 
4,399 
4,458 
12,391 
1,257 
135 


859 
1,843 
5,397 
18,963 
16,733 
52,808 
4,759 
616 


554 
1,289 
3,077 
12,938 
9,471 
38,800 
2,672 
403 


452 

923 

1,484 

8,550 

4,805 

25,119 

1,405 

304 


254 

478 

587 

5,077 

2,011 

13,859 

745 

172 


168 
296 
246 

3,124 
899 

8,591 
399 
120 


97 
176 
119 
1,932 
461 
6,051 
212 
65 


70 
114 
57 
1,166 
255 
4,773 
107 
43 


44 
68 
28 
765 
104 
3,510 
60 
25 




Forcible rape 


60 












5,020 














6.576 

4.8 

21,740 

3.6 


6,561 

4.8 

20,006 

3.3 


6,329 

4.6 

18,241 

3.0 


27,062 
19.7 

74,916 
12.4 


17.858 

13.0 

51,346 

8.5 


11,409 
8.3 

31,633 
5.2 


6,396 

4.7 

16,787 

2.8 


3,834 

2.8 

10,009 

1.7 


2,324 
1.7 

6,789 
1.1 


1,407 

1.0 

5,178 

.9 


905 

.7 

3,699 

.6 




Percent distribution"' 

Property crime 4 
Percent distribution'' 


.6 

5,199 

.9 


Crime Index total' 
Percent distribution 2 


28,316 
3.8 


26,567 
3.6 


24.570 
3.3 


101,978 

13.7 


69,204 
9.3 


43,042 
5.8 


23,183 
3.1 


13,843 
1.9 


9,113 
1.2 


6,585 
.9 


4,604 


6,045 
.8 




9,788 
1,415 
5.700 
222 

1,937 
2,946 

2,450 

655 

1,024 

12,585 

129 

872 
32,537 

4.841 

10.175 

9.420 

194 

37,485 
106 


9.876 
1,437 
5,830 
213 

1,765 
2,684 

2,456 

666 

996 

12,256 

158 

824 
33,063 

3,827 

10,151 

8,675 

195 

36,057 
95 


9,814 

1.390 

6,038 

204 

1.564 
2,426 

2.127 

658 

991 

12.131 

152 

1,031 

32,817 

3,238 

10,121 

8,025 

197 

34,242 
100 


41,453 

5,570 

27,109 

952 

6,006 
9,059 

8,957 

2,745 

4,348 

48,671 

705 

4,965 
143,118 

10,737 

43,566 

29,187 

695 

144,149 
394 


27,940 

4,005 

21,638 

610 

3,860 

5,171 

5,793 

1,605 

3,593 

28,177 

728 

4,282 
101,592 

5,434 

33,532 

17,489 

489 

90.296 
208 


18,358 

2,360 

15,753 

496 

2,200 
2,859 

3,811 

789 

2.898 

14,716 

703 

3,168 
71,380 

3,215 

24,286 

11,260 

354 

57,106 
150 


10,859 
1,104 
9.247 
296 

1,110 
1,553 

2,190 

403 

1,935 
0.147 
635 

1,759 
46,389 

1,982 

16,359 

6,513 

173 

32,666 
85 


6,251 
601 

4,895 
146 

623 
868 

1,374 

235 

1,227 
2.824 
465 

875 
30,683 

1,341 

11,718 

4,088 

112 

19,539 

47 


3,809 
248 

2,566 
108 

361 
515 

823 

139 

860 
1,350 
368 

406 
20,894 

929 
8,896 
2,680 

78 

12,017 
29 


2,355 

147 

1,368 

37 

212 
334 

524 

99 

663 
769 

297 

227 
14,672 

631 

6,625 

1,935 

56 

7,733 
12 


1,373 
85 
730 
21 

117 
187 

314 

59 

466 
329 
172 

100 
9,115 

394 

4,248 

1,041 

36 

4,687 
17 


1,482 












Stolen property; buying, receiving. 








Weapons; carrying, 

possessing, etc 

Prostitution and commercialized 

Sex offenses (except forcible rape 

and prostitution) . 

Drug abuse violations 

Gambling 

Offenses against family and 

children 

Driving under the influence 


309 

67 

589 
269 
207 

100 
6,969 














All other offenses (except 








Curfew and loitering law 

violations 

Runaways 





'Includes suburban city and county law enforcement agencies within metropolitan 
^Because of rounding, the percentages may not add to total. 
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated as; 
■"Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and 
'includes arson 



Excludes central 



included in other groups. 



Table 64. — Suburban Area' Arrests of Persons under 15, 18, 21 and 25 Years of Age, 1986 
[5.097 agencies; 1986 estimated population 83,371,000] 



of persons arrested 



Percent of total i 



TOTAL 

Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 



Violent crane 

Properly crime 3 

Crime Index total 4 

Other assaults 

Forgery and counterfeiting 

Embezzlement 

Stolen property; buying, receiving, possessing 

Vandalism 

Weapons; carrying, possessing, etc 

Prostitution and commercialized vice 

Sex offenses (except forcible rape and prostitution) 

Drug abuse violations 

Gambling 

Offenses against family and children 

Driving under the influence 

Liquor laws 

Drunkenness 
Disorderly conduct 
Vagrancy- 
All other offenses (except traffic) 

Suspicion 

Curfew and loitering law violations 

Runaways 



4.283 
9,558 
28.548 
94.863 
137.083 
421,112 
41,003 
5,848 



211.381 

26,962 

118,782 

4,341 



10.266 

28.792 

213,639 

5,279 



181,034 

227,041 

179,161 

4,863 

724,170 



464 
1.225 
3,816 
17,879 
55,909 
3,955 
1,657 



5,525 
12,748 
53,430 
142,424 



2,645 
11,263 
24,283 
80,943 
206,550 
24,589 

3,422 



262.58 
30,599 
4,074 



4,759 
1,130 
10,142 



58.574 
7,001 
12,047 
850 
19,569 
56,071 
16,926 



69,138 

137,808 
33,606 
67,052 
2,002 

205.727 



.735 



26.983 
67.490 
26.528 

4,125 

12.213 
110.387 



351.431 
2.146 
21.861 



Includes suburban city and county law enforcement agencies within metropolitan an 
•'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault 
'Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arso 
'Includes arson 
^Less than one-tenth of 1 percent 



rable 65. — Suburban Area 1 Arrests, Distribution by Sex, 1986 

5,097 agencies; 1986 estimated population 83,371,000] 





Number of persons arrested 


Percent 


Percent 


Percent distribution'" 


Offense charged 
















Total 


Male 


Female 


male 


female 


Total 


Male 


Female 


TOTAL 


3,603,131 


2,971,965 


631,166 


82.5 


17.5 


100.0 


100.0 


100.0 


rlurder and nonneghgent manslaughter 


4,283 


3,791 


492 


88,5 


11.5 


.1 


.1 


.1 


orcible rape 


9,558 


9,421 


137 


98.6 


1.4 


,3 


.3 


( 5 ) 


obbery 


28,548 


26,428 


2,120 


92.6 


7.4 


.8 


.9 


.3 


ggravated assault 


94,863 


83.441 


11.422 


88.0 


12.0 


2.6 


2.8 


1.8 


urglary 


137,083 


126.273 


10.810 


92.1 


7.9 


3.8 


4.2 


1.7 




421,112 


292,348 


128,764 


69.4 


30.6 


11.7 


9.8 


20.4 


dotor vehicle theft 


41,003 


37,045 


3,958 


90.3 


9.7 


1.1 


1.2 


.6 


rson 


5,848 


5,142 


706 


87.9 


12.1 


.2 


2 


.1 


Violent crime 2 


137,252 


123,081 


14,171 


89.7 


10.3 


3.8 


4.1 


2.2 


Property crime' 


605,046 


460,808 


144,238 


76.2 


23.8 


16.8 


15.5 


22.9 


Crime Index total 4 


742,298 


583.889 


158,409 


78.7 


21.3 


20.6 


19.6 


25.1 


hher assaults 


211,381 


178,683 


32,698 


84.5 


15.5 


5.9 


6.0 


5.2 


orgery and counterfeiting 


26,962 


17,762 


9,200 


65.9 


34.1 


.7 


.6 


1.5 


raud 


118,782 


62,492 


56,290 


52.6 


47.4 


3.3 


2.1 


8.9 


mbezzlement 


4,341 


2,810 


1.531 


64.7 


35.3 


1 


.1 


.2 


tolen property; buying, receiving, possessing 


41,542 


36.795 


4,747 


88.6 


11.4 


1.2 


1.2 


.8 


andalism 


88.207 


79,413 


8.794 


90.0 


10.0 


2.4 


2.7 


1.4 


Weapons; carrying, possessing, etc 


50.623 


47.211 


3,412 


93.3 


6.7 


1.4 


1.6 


.5 


rostitution and commercialized vice 


10,266 


4,056 


6,210 


39.5 


60.5 


.3 


.1 


1.0 


ex offenses (except forcible rape and 


















prostitution) 


28,792 


27,331 


1,461 


94.9 


5.1 


.8 


.9 


.2 


rug abuse violations 


213,639 


180,868 


32,771 


84.7 


15.3 


5.9 


6.1 


5.2 


ambling 


5,279 


4,577 


702 


86.7 


13.3 


.1 


.2 


.1 


flenses jgains! family and children 


21,923 


19.494 


2,429 


88.9 


11.1 


.6 


.7 


.4 


riving under the influence 


643,063 


565,848 


77,215 


88.0 


12.0 


17.8 


19.0 


12.2 


iquor laws 


181.034 


147,630 


33,404 


81.5 


18.5 


5.0 


5.0 


5.3 


runkenness 


227,041 


205,874 


21.167 


90.7 


9.3 


6.3 


6.9 


3.4 


isorderly conduct 


179.161 


150.900 


28,261 


84.2 


15.8 


5.0 


5.1 


4.5 


agrancy 


4.863 


3,934 


929 


80.9 


19.1 






.1 


Jl other offenses (except traffic) 


724,170 


609.713 


114.457 


84.2 


15.8 


20 1 


20.5 


18.1 


uspicion 


3,094 


2,591 


503 


83.7 


16.3 


1 


.1 


.1 


urfew and loitering law violations 


21,861 


16,137 


5.724 


73.8 


26.2 


.6 


.5 


.9 


unaways 


54,809 


23,957 


30,852 


43.7 


56.3 


1.5 


.8 


4.9 



[ncludes suburban city and county law enforcement agencies within metropolitan area 
^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 o( burglary, larceny-theft, motor vehicle theft, and arson 
' Includes arson. 



are also included in other groups. 



Table 66. — Suburban Area' Arrests, Distribution by Race, 1986 

[5,072 agencies; 1986 estimated population 83,192,000] 



Murder and nonnegligent 
Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 

Violent crime 3 

Property crime 4 

Crane 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 

See footnotes at end of table. 



136,765 
420,189 
40,978 



41,435 
87,965 
50,519 

10,255 

28,737 

212,881 

5,258 

21,862 
633,170 



180,076 
226,449 
178,738 
4,850 
722,377 
3,091 
21,768 
54,746 



2,841 
6,294 
13,269 
66,037 
104,891 
304,647 
30,315 
4,942 



3,172 
15,102 
27,884 
31,037 
1 10,946 
10,336 
867 



159,160 
19,722 
86,044 
3,202 
29,485 
76,483 
38,450 

6,732 
24,925 
167,590 
3,465 
15,817 
586,898 

168,880 
199,527 
147,230 
3,995 
566,648 
2,595 
19,438 
49,013 



3,397 
3,603 

44,515 



10,028 
24,164 
30.573 



»le 66. — Suburban Area Arrests, Distribution by 



1986 — Continued 





Arrests under 18 


Percent distribution' 


Offense charged 


Total 


w„„e 


Black 


Amencan 


Islander 


Tea, 


» 


Black 


Amencan 
Alaskan 


Islander 




659,470 


550,916 


103,556 


2,397 


2,601 


100.0 


83.5 


15.7 


.4 








der and nonnegligent manslaughter 
ible rape 

bery 

ravated assault 

glary 

.eny-theft 

or vehicle theft 


297 
1.451 
5.525 
12,737 
53.379 
142,200 
16.941 
2,724 


201 
906 
2,379 
8,434 
44,104 
109,167 
12.807 
2,469 


92 
534 
3,116 
4.188 
8.902 
31.454 
3,980 
234 


2 

2 
12 
43 
201 
634 
67 
11 


2 
9 
18 
72 
172 
945 
87 
10 


100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


67.7 
62.4 
43.1 
66.2 
82.6 
76.8 
75.6 
90.6 


31.0 
36.8 
56.4 
32.9 
16.7 
22.1 
23.5 
8.6 




7 

2 
3 

4 
4 

4 




7 
6 

3 
6 

3 
7 
5 


Violent crime 3 
Property crime 4 


20.010 
215,244 


11,920 
168,547 


7,930 
44.570 


59 
913 


101 
1,214 


100.0 
100.0 


59.6 

78.3 


39.6 

20.7 


.3 


.5 


Cnme Index total 5 


235,254 


180,467 


52,500 


972 


1,315 


100.0 


76.7 


22.3 


4 


.6 


r assaults 

ery and counterfeiting 


33,536 
2.518 
2,322 
265 
11,116 
41,964 
8,681 

251 

5.421 

23,824 

150 

839 

9,902 

61.953 
9.881 

35.045 
1,052 

97,702 
1,280 

21,768 

54,746 


25,017 
2,193 
1,855 
192 
8.045 

37,630 
6,946 

191 

4,471 

20,210 

74 

737 

9.635 

60.393 
9,411 

29,565 
982 

83,352 
1,099 

19.438 

49.013 


8,277 

307 

451 

73 

2.979 

4.100 

1,662 

59 
906 
3.507 
76 
98 
193 

1.304 

369 

5,349 

63 

13,668 

172 

2,210 

5.233 


121 
2 
5 

19 
113 
23 

27 
56 

3 
54 

143 
84 

64 

359 
3 

65 
279 


121 
16 
11 

73 
121 
50 


100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


74.6 
87.1 
79.9 
72.5 
72.4 
89.7 
80.0 

76.1 
82.5 
84.8 
49.3 
87.8 
97.3 

97.5 
95.2 
84.4 
93.3 
85.3 
85.9 
89.3 
89.5 


24.7 
12.2 
19.4 
27.5 
26.8 
9.8 
19.1 

23.5 
16.7 
14.7 
50.7 
11.7 
1.9 

2.1 

3.7 
15.3 

6.0 
14.0 
13.4 
10.2 

9.6 


.4 

.2 

.2 
.3 
.3 

.4 
.5 
.2 

.5 

.2 
.9 

.2 

.4 

.2 
.3 
























offenses (except forcible rape and prostitution) 

1 abuse violations 

rises against family and children 
ing under the influence 


17 
51 

1 

20 

113 
17 
67 
3 

323 

55 
221 







































See footnotes at end of table. 



231 



Table 66. — Suburban Area Arrests, Distribution by Race, 1986 — Continued 





Arrests 18 and over 


Percent distribution 


Offense charged 


Total 


W h „e 


Black 


Alaskan 


Pacific 
Islander 


Total 


White 


Black 


Alaskan 


Pacific 




2,926,650 


2,357,619 


546,720 


13,412 


8,899 


100.0 


80.6 


18.7 


.5 










3,985 
8,095 

23,002 
82,028 
83,386 
277,989 
24,037 
3,120 


2,640 
5,388 
10,890 
57,603 
60,787 
195,480 
17,508 
2,473 


1,289 
2.638 
11,986 
23.696 
22,135 
79.492 
6,356 
633 


37 
38 
79 
458 
286 
1.418 
100 
7 


19 
31 
47 
271 
178 
1,599 
73 
7 


100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


66.2 
66.6 
47.3 
70.2 
72.9 
70.3 
72.8 
79.3 


32.3 
32.6 
52.1 
28.9 
26.5 
28.6 
26.4 
20.3 










5 
3 

3 
5 
4 




































117,110 
388,532 


76,521 
276.248 


39.609 
108,616 


612 
1,811 


368 
1.857 


100.0 
100.0 


65.3 
71.1 


33.8 
28.0 


.5 
.5 














505,642 


352,769 


148,225 


2,423 


2.225 


100.0 


69.8 


29.3 


.5 










177,590 
24,409 

116,337 
4,070 
30,319 
46,001 
41.838 

10,004 
23,316 

189,057 
5,108 
21,023 

623,268 

118,123 
216,568 
143,693 

3,798 
624,675 

1.811 


134.143 
17,529 
84,189 
3,010 
21,440 
38.853 
31,504 

6,541 
20,454 
147,380 
3,391 
15.080 
577.263 

108,487 
190.116 
117,665 

3,013 
483,296 

1.496 


41,955 
6,779 

31.753 
1,039 
8,689 
6,864 

10,039 

3,338 
2,697 

41,008 
1.701 
5,830 

41,390 

8,724 

23,795 

25,224 

739 

136,631 

300 


910 

47 

192 

2 

186 
131 

33 
87 
385 

89 

2.402 

669 
2,140 
541 
35 
3,010 
12 


582 
54 

203 
19 
76 
98 

164 

92 
78 
284 
12 
24 
2,213 

243 
517 
263 
11 

1,738 
3 


100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


75.5 
71.8 
72.4 
74.0 
70.7 
84.5 
75.3 

65.4 
87.7 
78.0 

71.7 
92.6 

91.8 
87.8 
81.9 
79.3 
77.4 
82.6 


23.6 
27.8 
27.3 
25.5 
28.7 
14.9 
24.0 

33.4 
11.6 
21.7 
33.3 
27.7 
6.6 

7.4 
11.0 
17.6 
19,5 
21.9 
16.6 


.5 
.2 
.2 
C) 

.4 
.3 

.3 

.2 
.1 

1.0 

.5 
.7 
















Stolen properly, buying, receiving, possessing 
Vandalism 

Prostitution and commercialized vice 

Sex offenses (except forcible rape and prostitution) ... 




Gambling 






Drunkenness 












Runaways 













'Includes suburban 

'Viola 

4 Property crimes ; 

■Includes arson. 



law .•ntnrccnicnl agencies within 



Excludes central i 



also included in other groups. 



ble 67. — Suburban Area Arrests, Distribution by Ethnic Origin, 1986 

175 agencies; 1986 estimated population 72,704.000] 





Total all ages 




Number of arrests 


Percent distribution 




Total 


Hispanic 


Non- 
Hispanic 


Tota. 


Hispanic 


Non- 
Hispanic 




3,092,051 


307,476 


2,784,575 


100.0 


9.9 








rder and nonneghgent manslaughter 
cible rape 

ravated assault 
glary 


3,368 
7,735 
21,046 
77,650 
110,155 
352,780 
34,434 
5,160 


508 
835 
2,575 
10.073 
12,442 
27,913 
4,379 
282 


2.860 
6,900 
18,471 
67,577 
97.713 
324,867 
30,055 
4,878 


100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


15.1 
10.8 
12.2 
13.0 
11.3 

7.9 
12.7 

5.5 


84.9 
89.2 
87.8 
87.0 
88.7 






on 


94.5 




109,799 
502,529 


13,991 
45,016 


95.808 

457,513 


100.0 
100.0 


12.7 
9.0 












Crime Index total 4 


612,328 


59,007 


553,321 


100.0 


9.6 


90.4 


gery and counterfeiting 


189,635 
23,576 

104,594 
4,016 
36.800 
81,851 
42.861 

7,181 
25,326 
179.657 
4,492 
18.950 
568,095 

165,136 
210,001 
163,813 
4,727 
580,021 
2,863 
18.526 
47.602 


13,014 
1.255 
2.180 
166 
4.544 
4.022 
5,216 

2,549 

29,000 

610 

824 

76,411 

6,134 
45,934 

649 

42,651 

324 

1.073 

2,696 


176,621 
22,321 

102,414 
3,850 
32,256 
77,829 
37,645 

6,362 
22,777 
150,657 
3,882 
18,126 
491,684 

159,002 
164,067 
155,415 

4,078 
537,370 

2,539 
17,453 
44.906 


100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


6.9 

5.3 
2.1 
4.1 

12.3 
4.9 

12.2 

10.1 
16.1 
13.6 
4.3 
13.5 

3.7 
21.9 

5.1 
13.7 

7.4 
11.3 

5.8 

5.7 


93.1 
94.7 










dalism 


95.1 






offenses (except forcible rape and prostitution) 

g abuse violations .... ........ 

nbling 

nses against family and children 

ing under the influence 

lor laws 
nkenness 


89.9 
83.9 
86.4 
95.7 
86.5 

96.3 

78.1 






other offenses (except traffic) 

ew and loitering law violations 
aways 


92.6 

94.2 
94.3 



See footnotes at end of table 



Table 67. — Suburban Area 1 Arrests, Distribution by Ethnic Origin, 1986 — Continued 





Under 18 years of age 




Number of arrests 


Percent distribution 




Tolal 


Hispanic 


Hispanic 


Total 


H,span,c 


Hispanic 




572,887 


40,991 


531,896 


100.0 


7.2 








Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 


233 
1,159 

4,388 
10,148 
42.904 
120,887 
14,223 

2,496 


34 

97 

552 

1,086 

4,333 

8,056 

1,459 

127 


199 

1,062 
3,836 
9,062 

38,571 
112,831 

12,764 
2,369 


100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


14.6 
8.4 
12.6 
10.7 
10.1 
6.7 
10.3 
5.1 


9 
8 


Burglary 


8 






Arson 


9 




15,928 
180,510 


1,769 
13,975 


14,159 
166,535 


100.0 
100.0 


11.1 

7.7 














196,438 


15,744 


180,694 


100.0 


8.0 










28,777 

2,233 

2,031 

224 

38,532 
7,542 

205 

4,823 

20,896 

136 

757 

9,092 

58,122 
9,015 

32,837 
1,007 

82,937 
1,187 

18,526 

47,602 


2,309 
99 
105 
22 
1,134 
1,917 
834 

13 
434 
2,753 

17 
982 

1,903 
1,878 
1,887 
101 
5.005 
79 
1,073 
2,696 


26,468 
2,134 
1,926 
202 
8,834 

36,615 
6,708 

192 

4,389 

18,143 

130 

740 

8,110 

56,219 
7,137 

30,950 
906 

77,932 
1,108 

17,453 

44,906 


100.0 
100.0 
1000 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


8.0 
4.4 
5.2 
9.8 
11.4 
50 

6.3 
9.0 

13.2 
4.4 
2.2 

10.8 

3.3 
20.8 
5.7 
10.0 
6.0 
6.7 
5.8 
5.7 




Forgery and counterfeiting 


9 










Vandalism 

Weapons; carrying, possessing, etc 

I'ri'stitulion and commercialized vice 


9 
8 

9 




8 


Offenses against family and children 
Driving under the influence 

Liquor laws 


1 
S 

9 














Suspicion 

Curfew and loitering law violations 

Runaways 


9 
9 



(.■rid of lahlc 



67. — Suburban Area Arrests, Distribution by Ethnic Origin, 1986 — Continued 







18 years of 


age and over 






Number of arrests 


Percent distribution 




Total 


Hispanic 


Non- 
Hispanic 


Total 


Hispanic 


Non- 
Hispanic 


TOTAL 


2,519,164 


266,485 


2,252,679 


.00.0 


10.6 


89.4 


rder and nonnegligent manslaughter 


3,135 


474 


2.661 


100.0 


15.1 


84.9 


cible rape 


6,576 


738 


5,838 


100.0 


11.2 


88.8 


hen 


16,658 


2,023 


14.635 


100.0 


12.1 


87.9 


ravated assault 


67,502 


8,987 


58,515 


100.0 


13.3 


86.7 


glary 


67,251 


8,109 


59,142 


100.0 


12.1 


87.9 


ceny-theft 


231,893 


19,857 


212,036 


100.0 


8.6 


91.4 


or vehicle theft 


20,211 


2,920 


17,291 


100.0 


14.4 


85.6 




2,664 


155 


2,509 


100.0 


5.8 


94.2 




Violent crime 2 


93,871 


12,222 


81,649 


100.0 


13.0 


87.0 


Property crime' 


322,019 


31,041 


290,978 


100.0 


9.6 


90.4 


Crime Index total 4 


415,890 


43,263 


372,627 


100.0 


10.4 


89.6 


er assaults 


160,858 


10,705 


150,153 


100.0 


6.7 


93.3 


gery and counterfeiting 


21,343 


1,156 


20,187 


100.0 


5.4 


94.6 


Lid 


102,563 


2,075 


100,488 


100.0 


2.0 


98.0 


xzzlement 


3,792 


144 


3,648 


100.0 


3.8 


96.2 


en property; buying, receiving, possessing 


26,832 


3,410 


23,422 


100.0 


12.7 


87.3 


dalism 


43,319 


2,105 


41,214 


100.0 


4.9 


95.1 


pons; carrying, possessing, etc. 


35,319 


4,382 


30.937 


100.0 


12.4 


87.6 


titution and commercialized vice 


6.976 


806 


6.170 


100.0 


11.6 


88.4 


offenses (except forcible rape and prostitution) 


20,503 


2,115 


18,388 


100.0 


10.3 


89.7 


g abuse violations 


158,761 


26,247 


132,514 


100.0 


16.5 


83.5 


nblme 


4.356 


604 


3,752 


100.0 


13.9 


86.1 


nses against family and children 


18.193 


807 


17,386 


100.0 


4.4 


95.6 


zing under the influence 


559.003 


75.429 


483.574 


100.0 


13.5 


86.5 


.or laws 


107,014 


4,231 


102,783 


100.0 


4.0 


96.0 


nkenness 


200,986 


44.056 


156,930 


100.0 


21.9 


78.1 


rderly conduct 


130,976 


6,511 


124.465 


100.0 


5.0 


95.0 


ranc\ 


3,720 


548 


3,172 


100.0 


14.7 


85.3 


Other offenses (except traffic) 


497,084 


37,646 


459.438 


100.0 


7.6 


92.4 


icion 


1,676 


245 


1,431 


100.0 


14 b 


85.4 


ew and loitering law violations 














aways 















Violent ci 

'In. in. Irs 



:ity and county law enforcement agencies within metropolitan area 
offenses of murder, forcible rape, robbery, and aggravated assault, 
offenses of burglary, larcenytl 



also included in other groups. 



vehicle theft, and 



235 



Table 68. — Arrests by State, Crime Index Offenses, 1986 

[1986 estimated population] 



STATE 


Total' 
all 


Index 


Violent" 


"=' 


and non- 
negligent 

slaughter 


Forcible 


Robbery 


Aggravated 


Burglary 


'='■ 


s 


Arson 


ALABAMA: 223 agencies; 
population 3,367,000: 

Under 18 

Total all ages 


13,433 
161,337 


5,556 
25,852 


410 
5,572 


5,146 
20,280 


308 


33 
476 


122 
1,008 


236 
3.780 


1.099 
3,807 


3,837 
15,591 


185 
735 




ALASKA: 2 agencies; 
population 266,000: 


2,499 
16,297 


1,624 


46 
383 


1,578 
4,885 


11 


1 
24 


64 


36 

284 


118 

277 


1,381 
4.462 


79 
138 




Total all ages 




ARIZONA: 89 agencies; 
population 3,260,000: 
Under 18 . 
Total all ages ....... 


46,108 
203,764 


17,571 
52,606 


1,110 
7,910 


16,461 
44,696 


23 
215 


56 
404 


207 
1.196 


824 
6.095 


3,406 
7.767 


12,044 
34.814 


836 
1.807 




ARKANSAS: 177 agencies; 
population 2.252,000: 


12,695 
120,645 


4.930 
18.457 


244 
3,061 


4.686 
15.396 


179 


323 


60 
610 


136 
1,949 


1.270 
3.413 


3,201 
11.337 


198 
549 








CALIFORNIA: 677 agencies; 
population 26,792,000: 


226,819 
1,625,986 


92,199 
370,073 


12,201 
97,883 


272J90 


308 
3.122 


560 
4,522 


4,915 
24.873 


6,418 
65,366 


23.557 
77,898 


43.946 
157,796 


11.513 
34,213 




Total all ages 


2, 


COLORADO: 209 agencies; 

population 2.975,000: 

Under 18 

Total all ages 


39,045 
208,056 


14,900 

41.217 


971 
5,329 


13,929 
35,888 


186 


82 
384 


224 
043 


650 
3.816 


2,164 
5.063 


10,320 
28,097 


1,208 
2,344 




CONNECTICUT: 92 agencies; 
population 2,239,000: 


24,869 
137,997 


8.417 


908 


7.509 


91 


58 
337 


375 


466 
3,417 


1,879 


5.031 


509 








DELAWARE: 49 agencies; 
population 629,000: 

Under 18 

Total all ages 


4,623 
29,342 


1,813 
6,963 


206 
1,353 


1,607 
5,610 


3 


29 
185 


93 
409 


81 
730 


375 
1,177 


1,160 
4,234 


69 
182 




DISTRICT OF COLUMBIA': 


























1 agency: 

population 626,000: 


3,894 
47.940 


2.161 
11,335 


603 
3,602 


1,558 
7,733 


8 

133 


19 


1,264 


264 
2,062 


245 
1,213 


368 
4,064 


938 
2,418 








FLORIDA: 702 agencies; 
population 11.641,000: 

Under 18 

Total all ages 


89,988 
627,887 


46.604 
173.011 


5.995 
41.598 


40.609 
131,413 


85 

1,242 


385 
2,394 


1,935 
11.395 


3.590 
26.567 


12.897 
35.674 


23,769 
85.299 


3,733 
9.679 




GEORGIA: 267 agencies; 
population 4,929,000: 
Under 18 
Total all ages 


17,103 
223,995 


8.011 
49.103 


959 
13.232 


7.052 
35.871 


37 
603 


873 


282 
2,669 


559 
9.087 


1,755 
8.052 


4.686 
25.225 


567 
2.308 




HAWAII: 3 agencies; 
population 953,000: 


12.839 


4,287 


179 


4,108 




15 


94 


61 


808 


2.866 


423 








IDAHO: 94 agencies; 
population 928,000: 

Under 18 

Total all ages 


12,403 
36,947 


4,970 
9.574 


253 
1.102 


4.717 
8,472 


3 
22 


12 
68 


19 

84 


219 
928 


1,011 
1.946 


3.400 
6,085 


242 
345 




ILLINOIS: 346 agencies; 
population 6,869,000: 
Under 18 
Total all ages 


57.944 
233,733 


19.916 
53,632 


1.625 
8.080 


18.291 
45.552 


21 
207 


155 
770 


368 
1.347 


1.081 
5,756 


3,013 
6.611 


14,462 
37,192 


661 
1.393 


. 



Sec footnotes at end of table. 



236 



rable 68. — Arrests by State, Crime Index Offenses, 1986 — Continued 



STATE 


Total 1 


E2" 


w 


Property* 


negligent 


F r e 


Robbery 


Aggravated 


Burglary 


u ssr 


r,e 


Arson 


NDIANA: 120 agencies; 
opulation 3,079,000: 
nder 18 


28.382 
116,323 


9,879 


949 

3,457 


8.930 
19,357 


166 


43 
170 


157 
663 


731 
2,458 


1.440 
2,959 


6,929 
15,114 


503 
1,093 


58 
191 


otal all ages 


DWA: 223 agencies; 
opulation 2,849,000: 
nder 18 
otal all ages 


20,934 
92,889 


7,714 
21,735 


390 
2,456 


7,324 
19.279 


58 


26 
134 


104 
416 


249 
1,848 


1.415 
3.114 


5.467 
15,376 


359 
655 


83 
134 


ANSAS: 122 agencies; 
opulation 1,766,000: 

otal all ages 


17,239 
78,962 


7,145 
19,134 


482 
2,423 


6.663 
16,711 


72 


37 
217 


80 
388 


362 

1,746 


1,356 
2.961 


4,811 
12,796 


409 
796 


87 
158 


ENTUCKY: 248 agencies; 
Dpulation 1.257,000: 

otal all ages 


8.519 
96,599 


2,962 
11,683 


213 
3,025 


2,749 
8.658 


5 

122 


30 

275 


27 
273 


151 
2,355 


694 
2,037 


1,785 
5,916 


212 
512 


58 
193 


OUISIANA: 75 agencies; 

jpulation 2.409,000: 

nder 18 

otal all ages 


15,936 
114,918 


7,087 
30,650 


869 

7.711 


6,218 
22.939 


25 
251 


60 
416 


154 
1,039 


630 
6,005 


1,676 
5,343 


4,223 
16.616 


261 

800 


58 
180 


AINE: 132 agencies; 
jpulation 1,164,000: 
nder 18 
otal all ages 


9,578 
42,069 


4.219 
9,872 


<m 


4.100 
8.881 


2 

24 


10 

77 


28 
147 


79 
743 


W60 


2,658 
5.927 


245 
554 


83 
140 


IARYLAND: 135 agencies; 
jpulation 4,349,000: 

otal all ages 


37.525 
207,699 


16.565 
52.511 


2,705 
12.016 


13.860 
40.495 


30 
386 


165 
873 


3,748 


1,346 
7.009 


3,267 
10,001 


7,569 
24,758 


2,668 
5,081 


356 
655 


ASSACHUSETTS: 168 

encies; population 3,360,000: 
nder 18 
otal all ages 


15.473 
104.197 


5.993 
24,261 


1,067 
6.581 


4,926 
17,680 


8 


62 
526 


340 
1,216 


657 
4,771 


1,618 
4.978 


2,367 
10,661 


856 
1,841 


85 
200 


IICHIGAN: 448 agencies; 
pulation 8.174,000: 
nder 18 


56.066 
332,793 


23,929 
75,323 


3.717 
19.919 


20.212 
55,404 


126 
1,292 


452 

2,271 


1,233 
5,165 


1,906 
11,191 


4,746 
12,766 


13.269 
37.255 


1,969 


228 

795 

131 
255 


otal all ages 


INNESOTA: 288 agencies; 
pulation 4.214,000: 

otal all ages 


37,507 
142,435 


16.494 
36.876 


935 
4,172 


15.559 
32.704 


11 
96 


62 

414 


273 
922 


589 
2,740 


2.177 
4,623 


11,623 
25,070 


1,628 
2,756 


ISSISSIPPI: 65 agencies; 
pulation 969,000: 
nder 18 
Dtal all ages 


5,969 
55,826 


2,625 
11,075 


180 
1.872 


2,445 
9.203 


10 
116 


19 
170 


65 
368 


86 
1,218 


631 
2,235 


1,646 
6,485 


143 
382 


25 
101 


ISSOURI: 192 agencies; 
pulation 3,261.000: 

otal all ages 


27.472 
190.416 


10.950 
41.740 


1,693 
9.229 


9,257 
32.511 


20 
376 


735 


434 
2,055 


1,073 
6,063 


2.016 
6,499 


6,247 
23,536 


868 
2,118 


126 
358 


ONTANA: 20 agencies; 

pulation 197,000: 

nder 18 


2,146 


819 
2,117 


21 
129 


798 
1,988 






4 

18 


17 
85 


64 
149 


672 
1,746 


62 
90 




Dtal all ages 


11 


15 


3 


See footnotes at end of table- 



























237 



Table 68. — Arrests by State, Crime Index Offenses, 1986 — Continued 



NEBRASKA: 207 agencies; 

population 1,406.000: 

Under 18 

Total all ages 

NEVADA: 17 agencies; 
population 780.000: 
Under 18 
Total all ages 

NEW HAMPSHIRE: 90 
agencies; 

population 885,000: 
Under 18 ... 
Total all ages 

NEW JERSEY: 447 agencies; 
population 6,350,000: 
Under 18... 
Total all ages 

NEW MEXICO: 49 agencies; 

population 898,000: 

Under 18 

Total all ages 

NEW YORK: 509 agencies; 
population 14,632,000: 
Under 18... 
Total all ages 

NORTH CAROLINA: 365 

agencies; 

population 5.903,000: 

Under 18 . 

Total all ages 

NORTH DAKOTA: 67 agencies; 
population 558,000: 
Under 18 
Total all ages 

OHIO: 331 agencies; 

population 7,495,000: 

Under 18 

Total all ages 

OKLAHOMA: 290 agencies; 
population 3,298,000: 

Under 18 

Total all ages 

OREGON: 199 agencies; 
population 2.676,000: 
Under 18 
Total all ages 

PENNSYLVANIA: 661 agencies; 
population 9,862,000: 

Under 18 

Total all ages 

RHODE ISLAND: 41 agencies; 
population 970,000: 
Under 18 
Total all ages 

See footnotes at end of table. 



negligent 



238 



able 68. — Arrests by State, Crime Index Offenses, 1986 — Continued 













Murder 
















STATE 


Total 1 


total 


V * n e'' 


Property' 


negligent 


Forcible 


Robbery 


Aggravaied 


Burglary 


theft 


theft 


Arson 


OUTH CAROLINA: 154 


























jencies; population 3,228,000: 


























nder 18 


15,774 


7,008 


600 


6,408 


12 


73 


152 


363 


1,823 


4,147 


401 


37 


otal all ages 


159,216 


27,703 


5,997 


21,706 


278 


644 


910 


4.165 


5,557 


14,992 


952 


205 


OUTH DAKOTA: 38 agencies: 


























jpulatton 413,000: 


























nder 18 


5,408 


1,865 


40 


1.825 


2 


4 


6 


28 


292 


1,432 


73 


28 


otal all ages 


23,170 


4,412 


406 


4.006 


14 


32 


37 


323 


593 


3,223 


157 


33 


ENNESSEE: 107 agencies; 


























filiation 2.040.000: 


























nder 18 


16,404 


6,292 


669 


5,623 


15 


94 


235 


325 


1.041 


3,743 


796 


43 


otal all ages 


106,718 


20,498 


4,440 


16,058 


212 


458 


1,090 


2.680 


3.040 


11,397 


1,466 


155 


EXAS: 717 agencies; 


























jpulation 1 5.949,000: 


























nder 18 


136,849 


52,493 


3,894 


48,599 


167 


262 


1,496 


1,969 


13,357 


31,370 


3,577 


295 


otal all ages 


881,013 


188,875 


28,189 


160.686 


1.664 


2,150 


7,851 


16,524 


35,200 


112,757 


11,858 


871 


TAH: 111 agencies; 


























jpulation 1.659.000: 


























nder 18 


34,724 


13,129 


608 


12.521 


4 


32 


95 


477 


1,586 


10,098 


730 


107 


otal all ages 


99,026 


25,493 


2,061 


23,432 


43 


150 


392 


1,476 


2,756 


19,407 


1,124 


145 


ERMONT: 15 agencies; 


























'pulation 366,000: 




























800 


315 


15 


300 


















otal all ages 


8.598 


1,573 


260 


1,313 


i 


35 


20 


199 


355 


894 


43 


21 


fRGINIA: 392 agencies; 


























pulation 5.787,000: 


























nder 18 


38,298 


12,041 


1,021 


11,020 


26 


99 


419 


477 


2,674 


7,348 


870 


128 


otal all ages 


332,169 


47,527 


8,357 


39,170 


367 


838 


1,863 


5,289 


7,927 


28,247 


2.567 


429 


ASHINGTON: 155 agencies; 


























pulation 3,033,000: 


























nder 18 


35,434 


15,843 


548 


15,295 


8 


64 


132 


344 


3,025 


11,284 


825 


161 


otal all ages 


162.137 


40,814 


3,736 


37,078 


116 


482 


749 


2,389 


6,181 


29,160 


1.469 


268 


-EST VIRGINIA: 306 agencies; 


























pulation 1,882,000: 


























nder 18 


6.256 


2,410 


123 


2,287 


5 


10 


44 


64 


665 


1,379 


207 


36 


otal all ages 


65,354 


10,893 


1,783 


9,110 


126 


149 


335 


1,173 


2.174 


6,256 


525 


155 


1SCONSIN: 236 agencies; 


























pulation 3,672.000: 


























nder 18 


66.802 


19,566 


713 


18.853 


4 


57 


149 


503 


2,629 


14,831 


1,167 


226 


otal all ages 


212.139 


40,409 


3,425 


36,984 


50 


243 


435 


2,697 


4,936 


29,843 


1.874 


331 


TOMING: 71 agencies; 


























pulation 506,000: 


























nder 18 


4,735 


1,325 


40 


1,285 


4 


4 


9 


23 


187 


1,004 


82 


12 


otal all ages 


24,503 


3,673 


423 


3,250 


26 


37 


39 


321 


528 


2,510 


179 


33 



Does not include traffic arrests, 
includes arson. 

Violent crime includes offenses of murder, forcible rape, robbery, and aggravated assault. 
4 Property crime includes offenses of burglary, larceny-theft, motor vehicle theft, and arson. 
'Population and arrest data are not included in totals. 
NOTE: Direct comparisons of arrest totals listed in this table should not be made with prior years' 



239 



Table 69. — Police Disposition of Juvenile Offenders Taken into Custody, 1986 
[1986 estimated population] 



Population group 


Total 1 


Handled 


Referred to 
juvenile 


Referred to 
agency 


Referred to 

other police 

agency 


Referred to 
criminal or 
adult court 


TOTAL ALL AGENCIES: 8,646 agencies; population 164,816,000: 


1,173,715 
100.0 


350,900 
29.9 


724,276 
61.7 


20,876 
1.8 


12,938 
1.1 




Percent 2 




TOTAL CITIES: 5,747 cities: population 108,969,000: 


979,345 
100.0 


302,945 
30.9 


592,739 
60.5 


18,006 
1.8 


10,718 
1.1 




Percent 




Group I 














46 cities, 250,000 and over; population 27,016,000: 


231.336 


63,668 


156,697 


5,113 


2.330 


3, 


Group II 














104 cities, 100,000 to 249,999; population 14,935,000: 


119.511 
100.0 


37,325 
31.2 


76,105 
63.7 


2.770 
2.3 


948 

.8 




Percent 




Group III 














231 cities, 50,000 to 99,999; population 15,781,000: 

Number 

Percent 


136,208 
100.0 


45.464 
33.4 


79,708 
58.5 


2,307 

1.7 


1.448 
1.1 


7,- 


Group IV 














510 cities, 25,000 to 49,999; population 17,709,000: 
Number 

Percent 


163,936 
100.0 


51,347 
31.3 


96.401 
58.8 


3,547 
2.2 


1.938 

1.2 


10, 


Group V 














1,204 cities, 10,000 to 24,999; population 18,997,000: 
Number 
Percent 


186.352 
100.0 


62,775 
33.7 


104.268 
56.0 


2.408 
1.3 


2.289 
1.2 


14, 


Group VI 














3,652 cities under 10,000; population 14,531,000: 

Number 

Percent 


142.002 
100.0 


42,366 
29.8 


79.560 
56.0 


1,861 
1.3 


1,765 
1.2 


16, 


Suburban Counties 














959 agencies; population 35,779,000: 

Number 

Percent 


146,469 
100.0 


37.327 
25.5 


99,699 


1,936 
1.3 


1,332 
.9 


6, 


Rural Counties 














1,940 agencies; population 20,068,000: 


47,901 
100.0 


10,628 


31,838 


934 


888 


3, 




Suburban Area' 














4,195 agencies; population 79,995,000: 


529,049 
100.0 


180,224 

34.1 


298,068 
56.3 


8,639 


5,593 
1.1 


<o. 







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 



■tropohlan areas Includes central cities Suburban cities and counties are included in other groups. 



iOaiu jEnformwnt (£ab? nf iEtljtrs 

Ah a iCani £nfarr?tn?nt (!Dff ir?r, « y fundamental duty u to 

serve mankind; to safeguard lives ana property; to protect the innocent against 
deception, the weak against oppression or intimidation, and the peaceful 
against violence or disorder; and to respect the (constitutional rights of all 
men to liberty, eauality and justice. 

jf mtll beep mu private life unsullied as an example to all; maintain coura- 
geous calm in the face of danger, Scorn, or ridicule; develop self-restraint; and 
L constantly mindful of tL welfare of otLrS. JJonest in thought and deed 
in holh my personal and official life, Jf will be exemplary in obeying the laws 
of the land and the regulations of my department. Whatever Jf see or hear of 
a confidential nature or that is confided to me in my official capacity will be 
hcpt ever secret unless revelation is necessary in the performance of my duty. 

i tUtll never act officiously or permit personal feelings, prejudices, animos- 
ities or friendships to influence my decisions. lAJilh no compromise for crime 
and with relentless prosecution of criminals, Jf will enforce the law courteously 
and appropriately without fear or favor, malice or ill will, never employing 
unnecessary fo, 



force or violence ana never accep 



1 rPrOgntZP the Ldcje of my office as a Symhol of puhlic faith, and 
Jf accept it as a public trust to be held So long as Jf am true to the ethics of 
the police service. Jf will constantly strive to achieve these objectives' and ideals, 
dedicating myself before Cjod to my chosen profession . . . law enforcement. 



241 



SECTION V 
LAW ENFORCEMENT PERSONNEL 



The Nation's law enforcement community employed an 
average of 2. 1 full-time officers for every 1 ,000 inhabitants 
as of October 31, 1986. Considering full-time civilians, the 
overall law enforcement employee rate was 2.8 per 1,000 
inhabitants according to 12,132 city, county, and state 
police agencies reporting in 1986. These agencies 
collectively offered law enforcement service to a population 
of nearly 225 million, employing 475,853 officers and 
153,892 civilians. 

Varying demographic and other jurisdictional 
characteristics greatly affect the requirements for law 
enforcement service from one locale to another. The needs 
of a community having a highly mobile or seasonal 
population, for example, may be very different from those of 
a city whose population is relatively stable. Similarly, a 
small community situated between two large cities may 
require a greater number of law enforcement personnel than 
a community of the same size which has no urban centers 
nearby. 

The functions of law enforcement are also significantly 
diverse throughout the Nation. In certain areas, sheriffs' 
responsibilities are limited almost exclusively to civil 



functions and/or the administration of the county jail 
facilities. Likewise, the responsibilities of state police and 
highway patrol agencies vary from one jurisdiction to 
another. 

In view of these differing service requirements and 
responsibilities, care should be used when attempting any 
comparison of law enforcement employee rates. The rates 
presented in the following tables represent national 
averages; they should be viewed as guides or indicators, not 
as recommended or desirable police strengths. Adequate 
manpower for a specific locale can be determined only after 
careful study and analysis of the various conditions affecting 
service requirements in that jurisdiction. 

City law enforcement employee averages in 1986 ranged 
from 2.1 per 1,000 inhabitants in those with populations 
from 10,000 to 99,999 to 3.5 for those with populations of 
250,000 or more. Rural and suburban counties averaged 
full-time law enforcement employee rates of 3.4 and 3.0 per 
1,000 population, respectively. 

Regionally, the highest law enforcement employee rate 
was in the Northeast with 2.9. Following were the South 
with 2.8, the Midwest with 2.5, and the West with 2.4. 



Full-time Law Enforcement Employees', Rate per 1,000 Inhabitants, Region, October 31, 1986 





Total 
(9,253 cities; 
population 
152,175,000) 


Group I (60 


Group II (122 


Group III (292 


Group IV (643 


Group V (1,612 


Group VI 




cities, 250,000 


cities. 100,000 


cities, 50,000 


cities, 25,000 


cities, 10,000 


(6,524 cities 




and over; 


to 249,999; 


to 99,999; 


to 49,999; 


to 24,999; 


under 10,000; 




population 


population 


population 


population 


population 


population 




43.631,000) 


17,806,000) 


19,933,000) 


22,183,000) 


25,237,000) 


23,385,000) 


TOTAL: 
















9,253 cities; 
















population 152.175.000: 
















Average number of employees 
















per 1,000 inhabitants 


2.6 


3.5 


2.4 


2.1 


2.1 


2.1 


2. 


Northeastern States: 
















2,380 cities; 
















population 38,991,000: 
















Average number of employees 
















per 1,000 inhabitants 


2.9 


4.6 


3.1 


2.4 


2.3 


2.0 


2. 


Midwestern States: 
















2,496 cities; 
















population 38,561,000: 
















Average number of employees 
















per 1,000 inhabitants 


2.5 


3.8 


2.2 


1.9 


1.8 


1.9 


2. 


Southern States: 
















3,146 cities; 
















population 42,519,000: 
















Average number of employees 
















per 1,000 inhabitants 


2.8 


3.0 


2.5 


2.5 


2.4 


2.4 


3. 


Western States: 
















1,231 cities; 
















population 32,104,000: 
















Average number of employees 
















per 1,000 inhabitants 


2.4 


2.7 


2.0 


1.9 


2.0 


2.1 


3. 



Sworn Personnel 

Rates based solely on sworn law enforcement personnel 
excluding civilians) showed the national average for all 
:ities was 2.1 officers per 1,000 inhabitants. By population 
grouping, the lowest average rate (1.7) was for cities with 
wpulations of 10,000 to 99,999; cities 250,000 or more in 
>opulation recorded the highest rate, 2.8. Suburban county 
aw enforcement agencies averaged 2.0 officers per 1,000 
>opulation, while agencies in rural counties averaged 2.4. 

Regionally, the highest rate of officers to population was 
ecorded in the Northeastern States where there were 2.4 
ifficers per 1,000 inhabitants. The Southern States averaged 
1.2, the Midwestern States, 2.0, and the Western States with 
.7. 

Nationally, as well as in city agencies, males comprised 93 
>ercent of all sworn employees. Ninety percent of the 



officers in suburban counties were males, while in rural 
counties they accounted for 94 percent. 
Civilian Employees 

Civilians made up 24 percent of the total United States 
law enforcement employee force in 1986. They represented 
20 percent of the police employees in cities, 32 percent of 
those in suburban counties, and 3 1 percent of the rural law 
enforcement strength. 

Law Enforcement Officers Killed and Assaulted 

Sixty-six law enforcement officers were feloniously slain 
in the line of duty during 1986, 11 fewer lives lost than in 
1985. The annual total was lower than for any year since 
1968 when records show 64 officers were slain. 

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. 



^ull-time Law Enforcement Officers, Rate per 1,000 Inhabitants, Region, October 31, 1986 





Total 
(9,253 cities; 
population 
152,175,000) 


Group I (60 
cities, 250,000 
and over; 
population 
43,631,000) 


Group 11 (122 

cities, 100,000 

to 249,999; 

population 

17,806,000) 


Group III (292 
cities, 50,000 
to 99,999; 
population 
19,933,000) 


Group IV (643 
cities, 25,000 
to 49,999; 
population 
22,183,000) 


Group V (1,612 

cities, 10,000 
to 24,999; 
population 
25,237,000) 


Group VI 
(6,524 cities 
under 10,000; 
population 
23,385,000) 


OTAL: 

9,253 cities; 

population 152,175,000: 
Average number of officers 


2.1 


2.8 


1.8 


1.7 


1.7 


1.7 


2.2 




ortheastern States: 

2,380 cities; 
population 38,991,000: 
Average number of officers 


2.4 
2.0 
2.2 
1.7 


3.8 
3.2 
2.4 
2.0 


2.6 
1.7 
1.9 


2.0 

1.9 
1.3 


1.9 

1.9 
1.4 


1.7 
1.5 
1.9 
1.6 


1.8 
2.0 
2.6 
2.6 


lidwestcrn States: 

2,496 cities; 

population 38,561,000: 
Average number of officers 


outhern States: 

3,146 cities; 

population 42,519,000: 
Average number of officers 

per 1,000 inhabitants 

estern States: 

1,231 cities; 

popultion 32,104,000: 
Average number of officers 





Table 70. — Full-time Law Enforcement Employees , Number and Rate per 1,000 Inhabitants, Geographic Division and Population Group, 
October 31, 1986 



estimated popula 





Total 






Populatic 


n Group 








Group I 


Group II 


Group III 


Group IV 


Group V 


Group VI 


Geographic division 


(9,253 cities; 


(60 ct.es, 


(122 cities, 


(292 cities. 


(643 cities, 


(1,612 cities. 


(6,524 cities 


population 


250,000 


100,000 to 


50,000 to 


25,000 to 


10.000 to 


under 




152,175,000) 


and over; 


249,999; 


99.999; 


49,999; 


24,999; 


10,000; 






population 


population 


population 


population 


population 


population 






43,631,000) 


17,806,000) 


19,933.000) 


22.183,000) 


25,237.000) 


23.385.000) 


TOTAL: 9,253 cities; population 152,175,000: 
















Number of police employees 


399,967 


150,863 


41,945 


42,746 


46,140 


52,778 


65,49 


Average number of employees per 1,000 inhabitants 


2.6 


3.5 


2.4 


2.1 


2.1 


2.1 


2. 


New England: 667 cities; population 11,076,000: 
















Number of police employees 


26,732 


2.541 


2,997 


6,047 


5,211 


5.820 


4,11 


Average number of employees per 1,000 inhabitants 


2.4 


4.4 


3.2 


2.3 


2.2 


2.0 


2. 


Middle Atlantic: 1,713 cities; population 27,915,000: 
















Number of police employees 


84,471 


45,100 


3.675 


7,052 


7,960 


10,436 


10.24 


Average number of employees per 1,000 inhabitants 


3.0 


4.6 


3.0 


2.4 


2.3 


2.0 


2. 


East North Central: 1,774 cities; population 28,302,000: 
















Number of police employees 


72,734 


28,637 


5.359 


8.029 


8.570 


10,915 


11.22 


Average number of employees per 1,000 inhabitants 


2.6 


4.1 


2.2 


2.0 


1.8 


1.9 


2. 


West North Central: 722 cities; population 10,259,000: 
















Number of police employees 


22,445 


6,520 


1,989 


1,764 


3.089 


4,260 


4,82 


Average number of employees per 1,000 inhabitants 


2.2 


3.1 


2.0 


1.7 




2.0 


2. 


South Atlantic: 1,462 cities; population 16,900,000: 
















Number of police employees 


54,220 


14,746 


8,793 


4.669 


6,893 


7.034 


12.08 


Average number of employees per 1,000 inhabitants 


3.2 


3.8 


2.8 


3.0 


2.7 


2.8 


3. 


East South Central: 720 cities; population 7,675,000: 
















Number of police employees 


19,923 


4.523 


3,272 


721 


2.474 


3,322 


5.61 


Average number of employees per 1,000 inhabitants 


2.6 


2.6 


2.5 


2.4 


2.3 


2.3 


3. 


West South Central: 964 cities; population 17,944,000: 
















Number of police employees 


43.513 


17,512 


4,917 


4,563 


3.164 


5.326 


8,03 


Average number of employees per 1,000 inhabitants 


2.4 


2.6 


2.0 


2.2 


1.9 


2.1 


3. 


Mountain: 519 cities; population 8,597,000: 
















Number of police employees 


21,663 


8,104 


3,319 


2.044 


2.037 


2.085 


4.07 


Average number of employees per 1,000 inhabitants 


2.5 


2.8 


2.4 


1.8 


2.1 


2.3 


3 


Pacific: 712 cities; population 23,507,000: 
















Number of police employees 


54,266 


23,180 


7,624 


7,857 


6,742 


3,580 


5.2S 


Average number of employees per 1.000 inhabitants 


2.3 


2.6 


1.9 


1.9 


1.9 


2.0 


3 



,!!■,. ' ■ 



Suburban 2 : 5,516 agencies; population 88,906,000: 

Number of police employees 

Average number of employees per 1,000 inhabitants 



County: 2,879 agencies; population 72,667,000: 

Number of police employees 

Average number of employees per 1,000 inhabitants 



nforcement agencies within metropolit 



able 71. 
986 



1986 estimated popula 



Full-time Law Enforcement Officers, Number and Rate per 1,000 Inhabitants, Geographic Division and Population Group, October 31, 





Total 


Population Group 


Group I 


Group 11 


Group III 


Group IV 


Group V 


Group VI 




(9,253 cities; 


(60 cities. 


(122 cities. 


(292 cities. 


(643 cities. 


(1,612 cities. 


(6.524 cities 


Geographic division 


population 


250,000 


100,000 to 


50.000 to 


25.000 to 


10.000 to 


under 




152,175,000) 


and over; 


249.999; 


99,999; 


49.999. 


24,999; 


10,000; 






population 


population 


population 


population 


population 


population 






43,631.000) 


17,806,000) 


19,933.000) 


22,183,000) 


25,237,000) 


23,385,000) 


OTAL: 9,253 cities; papulation 152,175,000: 
















Number of police officers 


318,484 


121,234 


32,330 


33,691 


36,994 


42,863 


51,372 


Average number of officers per 1,000 inhabitants 


2.1 


2.8 


1.8 


1.7 


1.7 


1.7 


2.2 






















Jew England: 667 cities; population 11,076,000: 
















Number of police officers 


22,702 


1.946 


2.528 


5,267 


4,588 


5,042 


3,331 


Average number of officers per 1,000 inhabitants 


2.0 


3.4 


2.7 


2.0 


1.9 


1.8 


2.0 


liddle Atlantic: 1,713 cities; population 27,915,000: 
















Number of police officers 


71,314 


37,498 


3,177 


6.003 


6,801 


9,033 


8,802 


Average number of officers per 1,000 inhabitants 


2.6 


3.8 


2.6 


2.0 


2.0 


1.7 


1.7 


jist North Central: 1,774 cities; population 28,302,000: 
















Number of police officers 


60.324 


24,810 


4,364 


6,471 


6.922 


8,770 


8.987 


Average number of officers per 1,000 inhabitants 


2.1 


3.5 


1.8 


16 


1.5 


1.5 


2.0 


Vest North Central: 722 cities; population 10,259,000: 
















Number of police officers 


17.584 


4,915 


1.509 


1.418 


2,452 


3.366 


3,924 


Average number of officers per 1.000 inhabitants 


1.7 


2.3 


1.5 


1.4 


1.3 


1.6 


1.9 


outh Atlantic: 1,462 cities; population 16,900,000: 
















Number of police officers 


42,710 


11,754 


6,831 


3.511 


5,444 


5.569 


9,601 


Average number of officers per 1,000 inhabitants 


2.5 


3.0 


2.1 


2.3 


2.1 


2.2 


3.0 


ast South Central: 720 cities; population 7,675,000: 
















Number of police officers 


15,266 


3,423 


2,334 


551 


1,969 


2.684 


4,305 


Average number of officers per 1.000 inhabitants 


2.0 


2.0 


1.8 


1.9 


1.8 


1.9 


2.3 


Vest South Central: 964 cities; population 17,944,000: 
















Number of police officers 


33,865 


13,942 


3,953 


3,505 


2.439 


4,237 


5,789 


Average number of officers per 1,000 inhabitants 


1.9 


2.1 


1.6 


1.7 


1.5 


1.6 


2.3 


lountain: 519 cities; population 8,597,000: 
















Number of police officers 


15,712 


5.823 


2,329 


1,513 


1.524 


1.520 


3.003 


Average number of officers per 1,000 inhabitants 


1.8 


2.0 


1.7 


1.3 


1.5 


1.7 


2.5 


acific: 712 cities; population 23,507,000: 
















Number of police officers 


39.007 


17.123 


5,305 


5.452 


4.855 


2.642 


3.630 


Average number of officers per 1,000 inhabitants 


1.7 


1.9 


1.3 


1.3 


1.4 


1.5 


2.7 



Suburban and County 



uburban 1 : 5,516 agencies; population 88,906,000: 

Number of police officers 

Average number of officers per 1,000 inhabitants 



County: 2,879 agencies; population 72,667,000: 

Number of police officers 

Average number of officers per 1,000 inhabitants 



Includes suburban city and county law enforcement agencies within metropolil 



itral cities. Suburban 



also included 



245 



Table 72. — Full-time Law Enforcement Employees, October 31, 1986 

[Range in rate per 1.000 inhabitants] 



Rate 




Total' 

(8.871 cities; 
population 
152,175,000) 


Group I (60 
cities, 250,000 

population 
43,631,000) 


Group II (122 

cities, 100,000 

to 249,999; 

population 

17,806,000) 


Group III (292 
cit.es, 50,000 
to 99,999; 
population 
19,933,000) 


Group IV (643 
cities, 25.000 
to 49,999; 
population 
22,183,000) 


Group V (1,612 
cities, 10,000 
to 24,999; 
population 
25,237,000) 


Group VI 
(6,142 cities 
under 10,000; 
population 
23,385,000) 


.1-.5 


Number 


181 








1 


19 


16 




Number 
Percent 

Number 


658 
7.4 

1,290 






1 
.3 

41 


17 
2.6 

101 
15.7 


59 

3.7 

225 
14.0 












1.1-1.5 




7 

5.7 


91 


1.6-2.0 


Number 
Percent 


2,051 
23.1 


5 
8.3 


37 
30.3 


99 
33.9 


245 
38.1 


508 
31.5 


1.15 
18. 


2.1-2.5 


Number 
Percent 


1,785 
20.1 


18 
30.0 


33.6 


94 

32.2 


165 

25.7 


461 
28.6 


1.00! 

16. 


2.6-3.0 


Number 
Percent 


1,095 
12.3 


17 
28.3 


22 
18.0 


34 
11.6 


75 
11.7 


212 
13.2 


73 

12. 


3.1-3.5 


Number 
Percent 


632 
7.1 


8 
13.3 


9 

7.4 


13 
4.5 


19 
3.0 


77 
4.8 


50 

8. 


3.6-4.0 


Number 
Percent 


373 
4.2 


6.7 


2 
1.6 


2.1 


2.3 


31 

1.9 


31 

5. 


4.1-4.5 


Number 
Percent 


209 
2.4 


2 
3.3 


4 
3.3 


2 

.7 




14 
.9 


18 
3. 




Number 


157 


4 
6.7 




2 

.7 




3 
.2 








2. 




Number 


440 


2 








3 












Total 
Percent 2 




8,871 
100.0 


60 
100.0 


122 
100.0 


292 
100.0 


643 
100.0 


1,612 
100.0 


6,14 
100. 



from this table. 



>i!e these figures differs from the other Law Enforcement Employee tables 



246 



able 73. — Full-time Law Enforcement Officers, October 31, 1986 

Lange in rate per 1,000 inhabitants] 



Rate 
range 




Total 1 
(8.871 cities; 
population 
152,175.000) 


Group I (60 
cities. 250.000 

population 
43.631.000) 


Group II (122 

cities. 100,000 

to 249,999; 

population 

17,806,000) 


Group III (292 
cities, 50,000 
to 99.999; 
population 
19.933.000) 


Group IV (643 
cities. 25.000 
to 49,999; 

22,183.000) 


Group V (1,612 

cities. 10.000 
to 24.999; 

25.237.000) 


Group VI 
(6.142 cities 
under 10,000; 
population 
23,427,000) 


.1-.5 


Number 


212 
2.4 








1 
.2 


26 
1.6 


185 










3.0 


.6-1.0 


Number 


905 
10.2 




2 
1.6 


18 

6.2 


58 
9.0 


119 

7.4 


708 






11.5 


1.1-1.5 


Percent 


2,354 
26.5 


6 
10.0 


44 
36.1 


118 
40.4 


250 
38.9 


528 
32.8 


1,408 
22.9 


1.6-2.0 


Number 


2,466 
27.8 


23 
38.3 


45 
36.9 


96 
32.9 


209 
32.5 


571 
35.4 


1.522 
24.8 


2.1-2.5 


Number 
Percent 


1,325 
14.9 


16 
26.7 


15 
12.3 


45 
15.4 


84 
13.1 


259 
16.1 


906 
14.8 


2.6-3.0 


Number 
Percent 


643 
7.2 


6.7 


11.5 


8 

2.7 


28 
4.4 


76 
4.7 


513 
8.4 


3.1-3.5 


Number 
Percent 


350 
3.9 


4 

6.7 


.8 


6 


11 

1.7 


23 
1.4 


305 
5.0 


3.6^t.O 


Number 
Percent 


161 
1.8 


3 

5.0 


.8 


I 




« 


150 
2.4 


4.1^*.5 


Number 
Percent 


117 
1.3 


2 

3.3 






.2 


2 
.1 


112 
1.8 


4.6-5.0 


Number 
Percent 


63 

.7 


1.7 








1 
.1 


61 
1.0 


5.1 and over 


Number 
Percent 


275 
3.1 


1.7 






1 
.2 


1 
.1 


272 


Total 
Percent 2 




8,871 
100.0 


60 
100.0 


122 
100.0 


292 
100.0 


643 
100.0 


1,612 
100.0 


6,142 
100.0 



The number of agencies used to compile these figures differs 
l this table. 
2 Because of rounding, percentages may not add to totals. 



other Law Enfon 



Table 74. — Law Enforcement Employees, Percent Male and Female, October 31, 1986 

[1986 estimated population] 





Total police employees 


Police officers (sworn) 


Civilian employees 


Population group 


Total 


P ZT 


S 


Total 


Percent 


femaTe' 


To* 


Percent 


toS! 


TOTAL AGENCIES: 12,132 agencies; 


629,745 
399,967 


78.9 
80.5 


21.1 
19.5 


475,853 
318,484 


92.8 
93.3 


7.2 
6.7 


153,892 
81,483 


36.0 
30.6 




TOTAL CITIES: 9,253 cities; 








GROUP I 




















60 cities, 250,000 and over; 

population 43,631,000: 

8 cities, 1,000,000 and over; 

population 19,993,000: 

16 cities, 500,000 to 999,999; 

population 10,683,000: 

36 cities, 250,000 to 499,999; 

population 12,955,000: 


150.863 
81,515 
34.178 
35,170 


79.4 
80.1 
80.0 
77.1 


20.6 
19.9 
20.0 
22.9 


121.234 
67,107 
27,353 
26,774 


90.4 
89.7 
91.2 
91.2 


9.6 
10.3 
8.8 
8.8 


29,629 
14.408 
6,825 
8,396 


34.5 
35.4 
35.5 
32.2 


65.5 
64.6 
64.5 
67.8 


GROUP II 




















122 cities, 100,000 to 249,999; 




















GROUP III 




















292 cities, 50,000 to 99,999; 




















GROUP IV 




















643 cities, 25,000 to 49,999; 


















74 6 


GROUP V 




















1,612 cities, 10,000 to 24,999; 

population 25,237,000: 


52,778 


82.9 


17.1 


42,863 


96.0 


4.0 


9.915 


26.2 


73.8 


GROUP VI 




















6,524 cities under 10,000; 

population 23,385,000: 


65,495 


81.8 


18.2 


51.372 


95.1 


4.9 


14,123 


33.5 


66.5 


SUBURBAN COUNTIES 




















656 agencies; population 42,452.000: 


126,103 


747 


25.3 


86.059 


89.8 


10.2 


40,044 


42.2 


57.8 


RURAL COUNTIES 








































SUBURBAN AREA' 




















5,516 agencies; population 88,906,000: 


232,893 


78.2 


21.8 


171,492 


92.7 


7.3 


61,401 


37.7 


62.3 



Includes suburban city and i 



law enforcement agencies within 



Table 75. — Civilian Law Enforcement Employees, 

[1986 estimated population] 



metropolitan areas. Excludes central cities. Suburban cities and 
of Total, Population Group, October 31, 1986 



included in other groups. 



Population group 



Percent 
employees 



Population group 



Percent 

employees 



TOTAL CITIES: 9,253 cities; 
population 152,175,000: 



643 cities, 25,000 to 49,999; 
population 22,183,000: „ 



population 43,631,000: 

ities, 1,000,000 and over; 

population 19,993,000: 

cities, 500,000 to 999,999; 

population 10,683,000: 

cities, 250,000 to 499,999; 

population 12,955,000: 



,612 cities, 10,000 to 24,999; 
population 25,237,000: ,.... 



6,524 cities under 10,000; 
population 23,385,000: 



SUBURBAN COUNTIES 



cities, 100,000 to 249,999; 

population 17,806,000: 

GROUP III 

cities, 50,000 to 99,999; 

population 19,933,000: 



RURAL COUNTIES 



2,223 agencies; 
population 30,214,000: 



SUBURBAN AREA 1 



5,516 agencies; 
population 88,906,000: 



Includes suburban city and county law enforcement agencies within metropolitan areas. Excludes central cities. Suburban cities and 



included in other groups. 



248 



ible 76. — Full-time State Law Enforcement Employees, October 31 


1986 














N 


jmber of law enforcement employees 


State 


Number of law enforcement employees 




Total 


Officers 


Civilians 


Total 


Officers 


Civilians 


State 


Male 


Female 


Male 


Female 


Male 


Female 


Male 


Female 


otal 


71,355 


47,515 


1,690 


9,435 


12,715 


Nebraska State Patrol 
Nevada Highway Patrol 
New Hampshire State 


546 
329 


427 
229 


6 


56 
33 


57 
62 














5 


labama Department of 












Police 


300 


218 


8 


29 


45 


Public Safety 


1,272 


738 


13 


197 


324 


New Jersey Division of 












laska State Police 


771 


353 


12 


230 


176 


Law and Public Safety 


3.675 


2,435 


55 


618 


567 


jizona Department of 












New Mexico State Police 


584 


336 


6 


85 


157 


Public Safety 


1,559 


911 


38 


306 


304 














xkansas State Police 


645 


470 


12 


70 


93 


New York State Police 


4,617 


3,635 


154 


272 


556 


alifornia Highway 












North Carolina State 












Patrol 


7,687 


5,202 


329 


865 


1.291 


Highway Patrol 

North Dakota Highway 


1,457 


1,133 


8 


193 


123 


olorado State Patrol 


726 


502 


12 


86 


126 


Patrol 


193 


114 


2 


43 


34 


onnecticut State Police 


1.419 


891 


44 


245 


239 


Ohio State Highway 












elaware State Police 


610 


443 


23 


63 


81 


Patrol 


2.074 


1.164 


44 


437 


429 


orida Highway Patrol . 


2,030 


1.404 


106 


201 


319 


Oklahoma Department 












eorgia Department of 












Public Safety 


1.212 


720 


5 


256 


231 


Public Safety 


1,560 


803 


13 


202 


542 


























Oregon State Police 


956 


794 


20 


27 


115 


laho State Police 


215 


176 


1 


7 


31 


Pennsylvania State Police 


4.847 


3,774 


104 


432 


537 


inois State Police 


2,269 


1.602 


94 


247 


326 


Rhode Island State 












tdiana State Police 


1,693 


1.062 


26 


273 


332 


Police 


190 


153 


3 


26 


8 


>wa Department of 












South Carolina Highway 












Public Safety 


760 


523 


14 


102 


121 


Patrol 


1.006 


841 


18 


46 


101 


ansas Highway Patrol 


598 


435 


5 


77 


81 


South Dakota Highway 
Patrol 


225 


161 


2 


53 


9 


entucky State Police 


1,653 


931 


16 


395 


311 














ouisiana State Police 


1.001 


723 


6 


98 


174 


Tennessee Department of 












[aine State Police 


569 


370 


9 


105 


85 


Safety 


1,341 


759 


19 


60 


503 


aryland State Police 


2,185 


1,487 


81 


231 


386 


Texas Department of 












lassachusetts State 












Public Safety 


4.769 


2,563 


46 


569 


1.591 


Police 


1,264 


1.024 


58 


110 


72 


Utah Highway Patrol 
Vermont Department of 


471 


362 


19 


18 


72 


ichigan State Police 


3,041 


2.052 


92 


447 


450 


Public Safety 


392 


255 


6 


50 


81 


innesota Highway 












Virginia State Police 


1,944 


1.401 


45 


153 


345 


Patrol 


675 


478 


11 


127 


59 














lississippi Highway 












Washington State Patrol 


1,533 


801 


27 


404 


301 


Safety Patrol 


768 


440 


5 


91 


232 


West Virginia State 












lissouri State Highway 












Police 


876 


562 


10 


99 


205 


Patrol 


1,759 


861 


8 


582 


308 


Wisconsin State Patrol 


640 


445 


44 


87 


64 


bntana Highway Patrol 


242 


192 


5 


21 


24 


Wyoming Highway 
Patrol 


207 


160 


' 


11 


35 



249 



Table 77. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1986 



City 


Total 
police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 
employees 


Total 


Total 


ALABAMA 








ALABAMA— Continued 








Abbeville 


10 


7 


3 


Gadsden 


119 


107 




Adamsville 


7 


5 


2 


Garden City 
Gardendale 




1 




Addison 


5 


3 


2 


19 






Alabaster 


18 


14 


4 




13 


8 




Albertville 


26 


22 




Glencoe.. 


7 






Alexander City 


37 


32 


5 


Goodwater 


10 


6 




AliceviUe . 


10 


5 


5 




5 








29 


23 


6 


Graysville 

Greensboro 


6 


6 




Anniston 


111 


81 


30 


8 


6 




Arab 


19 


14 


5 


Greenville 


27 


21 




Ardmore 


9 


5 


4 


Grove Hill 


7 


6 




Ashford 


9 


4 


5 


Gum 


5 


4 




Ashland 


4 


4 




Gulf Shores 


20 


15 




Athens 


36 


30 


6 


Guntersville 


27 


21 




Atmore 


25 


19 


6 


Gurley 


4 


4 




Attalla 


17 


14 


3 


Haleyville 


17 


12 




Auburn 


65 


48 


17 


Hamilton 


8 


8 




Bay Minette 


14 


14 




Hanceville 


10 


6 




Bayou La Batre 


16 


II 


5 


Hartford 


9 


6 




Bessemer 


83 


70 


13 


Hartselle 


20 


15 




Birmingham 


863 


666 


197 


Hayneville 


2 


2 




Blountsville 


6 


4 


2 


Headland 


8 


5 




Boaz 


25 


20 


5 


Heflin 


16 


13 




Brantley 


4 


4 




Helena 


9 


5 




Brewton 


23 


18 


5 


Hokes Bluff 


5 


4 




Bridgeport 


8 


5 


3 


Hollywood 


4 


2 




Brilliant 


2 


2 




Homewood 


58 


47 




Brundidge 


10 


6 


4 


Hoover 


67 


55 


j 


Butler 


7 


4 


3 


Hueytown 


18 


14 




Camden 


9 


5 


4 


Huntsville 


343 


256 


8 


Camp Hill 


4 


4 




Hurtsboro 


6 


4 




Carbon Hill 


9 


5 


4 


Irondale 


23 


15 




Cedar Bluff 


6 


3 


3 


Jackson 


19 


14 




Centre 


13 


8 


5 


Jacksonville 


26 


20 




Centreville 


3 


3 




Jasper 


54 


35 


1 


Chatom 


8 


4 


4 


Jemison 


2 


2 




Cherokee 


4 


3 


1 


Klllen ... 


3 


3 




Chickasaw 


19 


19 




Kimberly 


4 


3 




Childersburg 


16 


12 


4 


Lafayette 


14 


10 




Citronelle 


14 


14 




Lanett 


23 






Clanton 


21 


18 


3 


Leeds ... 


22 


18 




Clayhatchce 


2 


2 




Leighton 


4 


4 




Columbiana 


9 


6 


3 


Level Plains 








Coosada 


2 


2 




Lexington 








Cordova 


7 


4 


3 


Lincoln 


9 


6 




Cottonwood 


2 


2 




Linden 


6 


6 




Courtland 


5 


5 




Lineville 


8 


6 




Creola 


9 


6 


3 


Llttleville 


10 


5 




Cullman 


36 


26 


10 


Livingston 


12 


7 




Dadeville 


8 


8 




Luverne 


14 


10 




Daleville 


21 


15 


6 


Madison 


26 


20 




Daphne 


12 


7 


5 


Maplesville 


8 


2 




Decatur 


87 


78 


9 


Marion 


14 


8 




Demopolis 


21 


15 


6 


Midfield 


18 


13 




Dora 


5 


4 


1 


Millbrook 


14 


8 




Dothan 


118 


82 


36 


Mobile 


520 


328 


19 


East Brewton .. 


6 


4 


2 


Monroeville 


21 


16 




Eclectic- 


7 


4 


3 


Montevallo 


11 


7 




Elba 


14 


10 


4 


Montgomery 


516 


390 


12 


Enterprise 


42 


28 


14 


Moody 


9 


5 




Eufaula 


29 


23 


6 


Moulton 


10 


9 




Eutaw 


12 


8 


4 


Moundville 


6 


4 




Evergreen 


14 


10 


4 


Mountain Brook. 


53 


44 




Fairfield 


30 


24 


6 


Mount Vernon 


6 


5 




Fairhope 


17 


12 


5 


Muscle Shoals 


25 


25 




FalkviUe 


3 


3 




New Brockton 


5 


4 




Fayette 


9 


9 




New Hope 


4 


4 




Flint City 


2 


2 




Newton 


8 


4 




Flomaton 


10 


6 


4 


Northport 


35 


30 




Florala 


8 


4 


4 


Notasulga 


8 


4 




Florence 


90 


70 


20 


Oneonta 


16 


12 




I olej 


18 


13 


5 


Opehka 


66 


55 


1 


Fort Deposit 


3 


3 




Opp 


21 


16 




Fort Payne 


35 


26 


9 


Orange Beach 


9 


5 




Fultondale 


17 


13 


4 


oss Roads 









250 



able 77. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1986- -Continued 



Total 
mployei 



Total 



ALABAMA— Continued 



ALASKA— Continued 



Ketchikan 
Klawock 
Kodiak 
Kotzebue 

North Pole 

North Slope Borough 

Palmer 

Petersburg 

Sitka 
Skagway 
Soldotna 
Wrangell 

ARIZONA 



Apache Junctk 

Avondale 

Benson 

Bisbee 

Buckeye 

Bullhead City 

Casa Grande 

Chandler 

Chino Valley 

Clarkdale 

Coolidge 

Cottonwood 

Eagar 

El Mirage 

Eloy 

Flagstaff 

Florence 

Fredonia 

Gilbert 

ndale 
Globe 
Goodyear 
Hayden 
Holbrook 



CStj 



Huachut 

Kingman 

Lake Havasu 

Mammoth 

Marana 

Miami 

Nogales 

Oro Valley 

Page 

Paradise Valley 

Parker 

Peoria 
Phoenix 
Pima 

'inetop-Lakeside 
Prescott 
Prescott Valley 
SaiTord 
Saint Johns 

Scottsdale 
Show Low ... 
Sierra Vista 
Snowflake- Taylor 

Somerton 

South Tucson 
Springerville 



251 



Table 77. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1986 — Continued 

Total 



ARIZONA— Continued 



ARKANSAS — Continued 



Superior 
Surprise 

Thatcher 
Tolleson 
Tombstone 

Wickenburg 

Willcox 

Williams 

Winslow 

Youngtown 

Yuma 



ARKANSAS 



Alma . 

Arkadelphia 

Ashdown 

Bald Knob 

Barling 

Beebe 

Bentonville 

Berry ville 

Blytheville 
Booneville 
Bradford 
Brinkley 

Bull Shoals 

Cabot 

Camden 

Carlisle 

Clarksville 

Conway 

Corning 

Cotter 

Crossett 
Danville 
Dardanelle 
De Queen 
Dermott 
Des Arc 
De Vails Bluff 
De Witt 

Earle 

El Dorado 
England 
Eudora 

Eureka Springs 
Fairfield Bay 
Farmington 
Fayetteville 
Fordyce 
Forrest City 
Fort Smith 
Gassville 

Gravette 
Green Forest 
Greenwood 

Hamburg 
Harrison 

Heber Springs 
Helena 

Horseshoe Bend 
Hot Springs 



Judsonia 
Kensett 
Lake Village 
Lincoln 
Little Rock 

Magnolia 

Malvern 

Marianna 

Marion 

Marked Tree 

Maumelle 

McCrory 

McGehee 

Monticello 

Mornlton 

Mountain Home 

Nashville 

Newport 

North Little Rock 

Osceola 

Ozark 

Paragould 

Paris 

Piggott 

Pine Bluff 

Pocahontas 

ne Grove 
Prescott 

Russellville 

Shendan 
Sherwood 
Siloam Springs 
Smackover 
Spnngdale 
Star City 
lttgart 

Texarkana 

Trumann 

Vilonia 
Waldron 

mt Ridge 
Warren 
West Fork 
West Helena 
West Memphis 
Wynne 
Yellville 



CALIFORNIA 



Adelanto 
Alameda 

Albany 

Alhambra 
Alturas . . 
Anaheim 
Anderson 
Angels Camp 
Antioch 
Arcadia .... 



able 77. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1986 — Continued 



Total 
police 



Total 
police 

employees 



CALIFORNIA— Continued 



CALIFORNIA— Continued 



East Palo Alto 

El Cajon 

El Centre 
El Cerrito 
El Monte 
El Segundo 
Emeryville 
Escalon 
Escondido 
Etna 

Exeter 

Fairfield 
Farmersville 

Fillmore 

Firebaugh 

Folsom 

Fontana 

Fort Bragg 

Fort Jones 

Fortuna 

Foster City 

Fountain Valley 

Fowler 

Fremont 

Fullerton 
Gait 

Gardena 
Garden Grove 

Glendale 
Glendora 
Gonzales 
Grass Valley 
Greenfield 

Grover City 
Guadalupe 



Half Moon Bay 

Hanford 

Haw'horne 

Hayward 

Healdsburg 

Hemet 
Hercules 

Hermes;! Hr.K h 

Hillsborough 

Hollister 

Holtville 

Hughson 

Huntington Beach 

Huntington Park 

Huron 

Indio 
Inglewood 



Irvine 

Isleton 
Jackson 
Kensington 

Kerman 

King City 
Kingsburg 
Laguna Beach 
La Habra 
Lakeport 
Lake Shastina 



Table 77. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1986 — Continued 

T ° tal I Total I Total | _ 

employees ° mcers civilians employees 



CALIFORNIA— Continued 



CALIFORNIA— Continued 



La Verne 

Lemoore 

Lincoln 

Lindsay 

Livermore 

Livingston - 

Lodi 

Lompoc 

Long Beach 

Los Alamitos 

Los Altos 

Los Angeles 

Los Banos 

Los Gatos 
Madera 
Manhattan Beach 

Manteca 

Mancopa 

Marina 

Martinez 

Marysville 

Maywood .. 

McFarland 

Mendota 

Menlo Park 

Merced 

Millbrae 

Mill Valley 

Milpitas 

Modesto 

Monrovia 

Montclair 

Montebello 

Monterey 

Monterey Park 

Morgan Hill 

Morro Bay 

Mountain View 

Mount Shasta 

Napa 

National City 

Needles 

Nevada City 

Newark 

Newman 

Newport Beach 

Novato 

Oakdale 

Oakland 

Oceanside 

Ontario 

Orange 

Orland 
Oroville 

Oxnard 

Pacifica 

Pacific Grove 

Palm Springs 

Palo Alto 

Palos Verdes Estates 

Paradise 

Pasadena 

Paso Robles 

Patterson 
Perns 

Petaluma 

Piedmont 

Pinole 

Pismo Beach 

Pittsburg 

Placentia 

Placerville 



Pleasant Hill 

Pleasanton 
Pomona 

Porterville 

Port Hueneme 
Red Bluff 

Redding 

Redlands 
Redondo Beach 
Redwood City 
Reedley 
Rialto 

Richmond 

Ridgecrest 
Rio Dell 
Rio Vista 

Riverbank 

Riverside 

Rocklin 
Rohnert Park 

Roseville 

Ross 

Sacramento 

Saint Helena 

Salinas 

San Anselmo 

San Bernardino 

San Bruno 

San Carlos 

San Clemente 

Sand City 
San Diego 

San Fernando 

San Francisco 

San Gabriel 

Sanger 

San Jacinto 

San Jose 

San Juan Bautista 
San Leandro 
San Luis Obispo 

San 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 

Sebastopol 
Selma 
Shafter 
Sierra Madre 
Signal Hill 
Simi Valley 
Soledad 
Sonoma 

South Gate 
South Lake Tahoe 
South Pasadena 

South San Franciso 
Stallion Springs 

Stockton 



Table 77. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1986 — Continued 

Total _ ._, __ , Total 

employees employe' 



CALIFORNIA— Continued 

COLORADO 

*k 

Ige 

i 

Buena Vista 

Burlington 

Calhan 

Canon City 

Carbondale 

Castle Rock 

Cedaredge 

Center 

Central City 

Cherry Hills Village 

Colorado Springs 

Commerce City 

Cortez 
Craig 
Crested Butte 



COLORADO— Continued 



Cripple Creek 

Dacono 

De Beque 

Del Norte 

Delta 

Denver 

Dillon 

Dinosaur 

Dolores 

Durango 

Eagle... . 

Edgewater 

Englewood 

Erie 

Estes Park 

Fairplay 

Federal Heights 

Firestone 

Flagler 

Florence 

Fort Collins 

Fort Lupton 
Fort Morgan 

Fowler 

Frederick 

Fruita 

Glendale 

Glenwood Springs 

Golden 

Granada 

Grand Junction 

Greeley 

n Mountain Falls 
Greenwood Village 
Gunnison 
Haxtun 
Hayden 
Holly 
Holyoke 
Idaho Springs 
Ignacio 

Kremmling 

Lafayette 

Lakewood 

La Salle 
Las Animas 
Leadville 

Limon 

Littleton 

Log Lane Village 

Longmont 

Louisville 

Loveland 

Lyons 

Manassa 

Mancos . 

itou Springs 

MiDiken 

Minturn 
Monte Vista 
Montrose 
Mountain View 
Mount Crested Butte 
Nederland 



Table 77. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1986 — Continued 



Total 
police 

i/niplr.vecs 



Total 

police 

employees 



COLORADO — Continued 

New Castle 

Northglenn 

Oak Creek 

Olathe 

Ordway 

Pagosa Springs 

Palisade 

Palmer Lake 

Paonia 

Parachute 

Parker 

Platteville 

Pueblo 

Rangely 

Rifle 

Rocky Ford 

Salida 

Shendan 

Silt 

Silverthome 

Snowmass Village 

Steamboat Springs 

Sterling 

Thornton 

Trinidad 

Vail 

Victor 

Walsenburg 

Westcliffe 

Westminster 

Wheat Ridge 

Wiggins 

Windsor 

Woodland Park 

Yuma 

CONNECTICUT 

Ansonia 

Berlin 

Bethel 

Bloomfield 

Branford 

Bridgeport 

Bristol 

Brookfield 

Cheshire 

Clinton 

Coventry 

Cromwell 

Danbury 

Danielson 

Derby 

East Hampton 

East Hartford 

East Haven 

East Windsor 

Enfield 
Fairfield 

Farmington 

Glastonbury 

Granby 

Greenwich 

Groton 

Groton Long Point 

Groton Town 

Guilford 

Hamden 
Hartford 
Jewett City 



CONNECTICUT— Continued 

Madison 

Manchester 

Menden 

Middlebury 

Middletown 

Milford 

Naugatuck 
New Britain 

New Canaan 

New Haven 
Newington 
New London 
New Milford 

Newtown 

North Branford 

North Haven 

Norwalk 

Norwich 
Old Saybrook 

Plainfield 

Plainville 

Plymouth 

Putnam 

Ridgefield 

Rocky Hill 

Seymour 

Shelton 
Simsbury 

Southington 

South Windsor 
Stafford Springs 

Stamford 

Stonington 

Stratford .... 

Suffield 

I homaston 

Tornngton 

Trumbull 

Vemon 

Wallingford 

Waterbury 

Waterford 

Watertown 

West Hartford 

West Haven 

Weston 

Westport 

Wethersfield 

Willimanlic 

Wilton 

Windsor 

Windsor Locks 

Winsted 
Wolcott 
Woodbndge 

DELAWARE 

Bethany Beach 

Blades 

Bridgeville 

Camden- Wyoming 

Clayton 

Dagsboro 

Delaware City 

Delmar 
Dewey Beach 

Ellendale 
Elsmere 
Fenwick Island 



Table 77. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1986 — Continued 



Total 
employees 



Total 

police 

employees 



DELAWARE— Continued 



Greenwood 
Harrington 
Laurel 

Middletown 

Milford 

Millsboro 

Milton 

Newark 

New Castle 

Newport 

Ocean View 

Rehoboth Beach 

Seaford 

Selbyville 

Smyrna 

South Bethany 



DISTRICT OF COLUMBIA 

Washington 

FLORIDA 

Alachua 

Altamonte Springs 
Altha 

Apalachicola 
Apopka 

Atlantic Beach 

Atlantis 

Aubumdale 

Avon Park 

Bal Harbour 

Bartow 

Bay Harbor Islands 

Belleair 

Belleair Beach 

Belleair Bluffs 

Belle Glade 

Belleview 
Biscayne Park 
Blountstown 
Boca Raton 
Bonifay 

Bowling Green 
Boynton Beach 

Bradenton Beach 
Brooksville 
Bunnell 
Bushnell 

Callaway 
Cape Coral 
Casselberry 
Cedar Grove 
Center Hill 
Century 
Chattahoochee 
Chiefland 
Chipley 

Clearwater 

Clermont 

Cocoa 

Cocoa Beach 

Coconut Creek 

Coleman 

Cooper City 

Coral Gables 

Coral Springs 

Crescent City 



FLORIDA— Continued 



Crestview 

Crystal River 

Dade City 

Davie-Hacienda Village 

Daytona Beach 

Daytona Beach Shores 

Deeriield Beach 

De Funiak Springs 

De Land 

Delray Beach 

Dundee 

Dunedin 

Dunnellon 



Edgewood 
El Portal 
Eustis 
Fellesmere 
Fernandina Beach 
Flagler Beach 
Flonda City 
Fort Lauderdale 
Fort Meade 
Fort Myers 
Fort Pierce 
Fort Walton Beach 
Frostproof 
Fruitland Park 
Gainesville 
Golden Beach 



Greenacres City- 
Green Cove Springs 



Groveland 
Gulf Breeze 
Gulfport 
Gulf Stream 
Haines City 
Hallandale 



Hialeah 

Hialeah Gardens 
Highland Beach 
High Springs 
Hillsboro Beach 
Holly Hill 
Hollywood 

Holmes Beach 

Homestead 

Howey-m-the-Hills 

Indialantic 

Indian Creek 

Indian Harbour Beach 

Indian River Shores 

Indian Rocks Beach 

Indian Shores 

Inverness 

Jacksonville 

Jacksonville Beach 

Juno Beach 

Jupiter 

Jupiter Inlet Colony 

Jupiter Island 

Kenneth City 

Key West 

Kissimmee 

Lady Lake 

Lake Alfred 

Lake City 



257 



Number of Full-time Law Enforcement Employees, Cities, October 31, 1986— Continued 

Total -r . , t- . i Total 

,- Total Total „-. .. 

police „ . .- City polu 

employees ° lcers clvl lans employees 



FLORIDA— Continued 



FLORIDA— Continued 



Pembroke Pines 

Pensacola 
Perry 

Pinellas Park 
Plantation 
Plant City 
Pompano Beach 
Ponce Inlet 

Port Orange 

Port Richey 
Port Saint Joe 
Port Saint Lucie 
Punta Gorda 

Redington Beach 

Riviera Beach 

RockJedge 

Royal Palm Beach 

Saint Augustine 

it Augustine Beach 
Saint Cloud 

it Leo 
Saint Petersburg 
Saint Petersburg Beach 

Sanford 

Sanibel 

Sarasota 

Satellite Beach 

Sea Ranch Lakes 

Sebastian 

Seminole Tribal 

Sewall's Point 

Sneads 

South Bay 
South Daytona 
South Miami 
South Palm Beach 
Springfield 
Starke 

nse Village 

Surfside 

Sweetwater 

Tallahassee 

Tamarac 
Tampa 

Tarpon Springs 

Tavares 
Temple Terrace 

Tequesta 

Titusville 

Treasure Island 

Umatilla 

Valparaiso 

Vero Beach 
Virginia Gardens 
Waldo 
Wauchula 

Webster 

West Melbourne 

West Miami 

West Palm Beach 
Wewahitchka 
White Springs 
Wildwood 

Wilhston 

Wilton Manors 
Windermere 
Winter Garden 
Winter Haven 
Winter Park 



fable 77. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1986 — Continued 





Total 


Total 


Total 




Total 


Total 


Total 


City 


employees 


officers 


civilians 


City 


employees 


officers 




FLORIDA— Continued 








GEORGIA— Continued 








Winter Springs 


37 


28 


9 


BaSl Poillt 


90 


83 


7 


Zephyrhills 


25 


18 


7 


Eatonton 


13 


11 


2 


Zolfo Springs 


5 


4 


1 


Elberton 


3 

24 


3 
21 


3 


GEORGIA 








Ellaville 


4 


4 












Ellijay 


8 


5 


3 


Acworth 


14 


10 


4 


Fairburn 


14 


10 


4 


Adairsville 


9 


5 


4 


Fairmount 


3 


3 




Adel 


17 


17 




Fitzgerald . 


30 


20 


10 




1 


1 




Folkston 


4 


4 






Albany 


209 


183 


26 


Forest Park 


84 


28 


56 


Alma 


11 


10 


1 


Fort Gaines 


3 


3 




Alpharetta 


24 


18 


6 


Fort Oglethorpe 


18 


15 


3 


Amencus 


47 


39 


8 


Fort Valley 


30 


21 


9 


Aragon 


9 


5 




Franklin 


4 


4 




Arlington 
Ashburn 




4 




Gainesville 


84 


79 


5 


10 




1 


Garden City 


17 


15 


2 


Athens 


119 


89 


30 


Gibson 


1 


1 




Atlanta 


1,631 


1.326 


305 


Glennville 


14 


9 


5 


Attapulgus 


2 


1 


1 


Gordon 


8 


4 


4 


Augusta ,. 


181 


154 


27 


Grantville 


3 


3 




Austell 


13 


10 


3 


Gray 


4 


4 






Avondale Estates 


7 


7 




Greensboro 


8 


8 




Bainbridge 


44 


32 


12 


Griffin 


58 


52 


6 


Baldwin 




4 




Grovetown 


12 


7 


5 


Bameswlle 


11 


10 


1 


Hagan 


1 


1 




Blackshear 


9 


8 


1 


Hahira 


7 


4 


3 


Mairsville 


6 


5 


1 


Hampton 


6 


6 




31oomingdale 


5 


5 




Harlem 


8 


5 


3 


Boston 


4 


4 




Hawkinsville 


10 


9 


1 


Bowdon 


10 


6 


4 


Hazlehurst 


12 


8 


4 


3owman 


1 


1 




Helen 


9 


5 


4 


Braselton 


2 






Hepzibah 


2 


2 




Brooklet 


3 


3 




Hiawassee 


2 


2 




Brunswick 


67 


58 


9 


Hinesville .... 


47 


39 


8 


3uchanan 


7 


6 


1 


Homerville 


9 


6 


3 


Butler 


4 


4 




Hoschton 


2 


2 




Byron 


10 


7 


3 


Irwinton 


2 


2 




Cairo 


19 


16 


3 


Ivey 


1 


1 




Calhoun 


30 


26 


4 


Jackson 


15 


13 


2 




1 


1 




Jasper 


6 


6 




Canton 


13 


13 




Jefferson 


11 


7 


4 


l^rrollton 


45 


39 


6 


Kennesaw 


25 


18 


7 


Cartersville 


36 


26 


10 


Kingsland 


14 


9 


5 


Cedartown 


25 


21 


4 


Kingston 


1 


1 




Zhatsworth 


15 


10 


5 


Lafayette 


23 


18 


5 


Clarkesville 


5 


5 




La Grange 


84 


69 


15 


Clarkston 


8 


8 




Lawrenceville 


29 


25 


4 


Claxton 


6 


6 




Leary 


2 


1 


1 


Clayton 


7 


7 




Leesburg 


4 


4 




Cochran 


11 


10 


1 


Lilburn 


13 


8 


5 


Collins 


1 


1 




Lincolnton 


3 


3 




Colquitt 


9 


7 


2 


Linwood 


3 


3 




Columbus 


387 


347 


40 


Lithonia 


16 


8 


8 


Concord 


1 


1 




Locust Grove 


5 


5 




Zonyers 


35 
2 


24 
2 


11 


Logan ville 

Lookout Mountain 


10 


6 


4 


Coohdgc 




Cordele 


31 


23 


8 


Louisville 


9 


9 




Cornelia 


12 
1 


12 




Ludowici 
Lumpkin 




3 

7 


4 


-rawfordville 




gumming 


10 


7 


3 


Lyerly 




1 




Dallas 


14 


10 


4 


Lyons 


12 


9 


3 


Dalton 


58 


47 


11 


Macon 


301 


247 


54 




5 


5 




Madison 


12 


8 


4 


Dawson 


30 


15 


15 


Manchester 


16 


13 


3 


Decatur 


47 


38 


9 


Marietta 


113 


95 


18 


Doerun 


5 


4 


1 


Marshallville 




3 


4 


Donalsonville 


12 


8 


4 


Maysville 




1 




Doraville 


24 


18 


6 


McCaysville 




4 




Douglas 


38 


31 


7 


Mr Donough 


13 


8 


5 


Douglasville 


29 


23 


6 


Mclntyre 




1 




Dublin 




32 








5 








Duluih 


20 
12 


14 
7 


6 

5 


Metier .... 


9 


7 
2 
9 




East Dublin 


Midway 


1 




Millen 





259 



Table 77. — Number of Full-time Law Enforcement Employees, Cities 


, October 31, 1986 — Continued 








City 


Total 
employees 


Total 


Total 
civilians 


City 


Total 

employees 


Total 


Total 
civilians 


GEORGIA— Continued 


30 
13 

25 

44 

2 
16 

3 
35 

6 
16 

8 
14 

7 

21 
7 

15 
3 

25 
3 
6 
7 

17 
2 
9 
3 
7 
4 

3 

18 
78 
15 
93 
14 
16 
21 

3 
372 

3 
79 
24 

1 
10 

3 
39 
14 
21 
14 
17 

4 

5 
6 

9 
2 
24 
5 

7 

5 
18 

82 

27 
5 

14 
6 
2 

15 
3 

61 

19 
3 


22 

9 
21 

1 
38 

2 
11 

3 
34 

12 
5 

10 
7 
2 

20 
4 

10 
3 

20 
3 
5 
7 

14 
2 
5 
3 
6 

3 
14 
60 
10 
71 
10 
12 
15 

3 
301 

3 
63 
19 

7 
3 
31 
10 
15 
14 
13 

1 

3 

41 
5 
2 
19 
5 
7 
4 
5 

14 
68 
26 
5 
9 
6 
2 
9 
3 
40 
15 
3 


8 
4 
6 

5 

1 
5 
5 
1 
3 

4 
18 

5 
22 

6 

71 

16 

5 

3 

4 

2 
2 

5 

14 

1 


GEORGIA— Continued 


18 

180 
1,960 

7 
8 
2 

26 

159 

7 

10 

33 
2 

13 

11 

15 
7 

26 
7 

5 
86 
11 
10 
12 

1 
52 

5 
13 

5 
29 
22 
43 

3 
9 
2 
88 

15 

19 
S 

11 

24 

4 

7 
16 
6 
6 
6 
52 
4 

12 
2 

10 

70 

2 

9 


2 

12 

12 

120 
1.605 

7 
2 

23 

138 

6 

7 

26 
2 

11 

35 
2 

10 

5 
13 
7 
26 
6 
4 
5 
67 
11 
6 
9 

39 
5 
11 
5 
24 
16 
31 
1 
3 
9 
2 
67 
10 

5 

13 
5 

10 
24 
3 
6 
10 
6 
6 
6 
48 
3 
8 
2 

5 

50 
2 
9 






Woodbine 

Woodstock 
Wrens 

HAWAII 

Hilo 










3 














60 


Newnan 




IDAHO 












Ocilla 


























































Caldwell 
Cascade 
Chubbuck 

Coeur d'Alene 


7 








2 


Powder Springs 


14 
















Fruitland 


1 




























Hailey 






1 


















Idaho Falls 




Roswell 

Royston 


19 










Lava Hot Springs 
















Savannah 


















































































































Preston 


1 
6 

6 










































































4 

1 
4 






















5 

6 

21 
4 




ILLINOIS 

Abingdon 


5 
28 
















Whigham 


Aledo 



-time Law Enforcement Employees, Cities, October 31, 1986 — Continued 



Total 

police 

employees 



Total 

employees 



ILLINOIS— Continued 



ILLINOIS— Continued 



Centraha 
Centreville 

Champaign 

Channahon 

Charleston 

Chatham 

Cherry Valley 

Chester 

Chicago 

Chicago Heights 

Chicago Ridge 

Chilhcothe 

Christopher 

Cicero 

Clarendon Hills 

Clinton 

Coal City 

Coal Valley 

Cobden 

Collinsville 

Colona 

Columbia 
Coulterville 
Country Club Hills 
Countryside 
Crest Hill 
Creslwood 
Crete 
Creve Coeur 

Crystal Lake 

Dallas City 

Danville 

Decatur 

Deerfield 

De Kalb 

De Soto 

Des Plames 

Dixmoor 

Dixon 

Dolton 

Downers Grove 

Dupo 

Du Quoin 

Durand 

Dwight 

Earlville 

East Alton 

East Carondelet 

East Chicago Heights 

Dubuque 
East Dundee 
East Hazel Crest 

East Moline 

East Peoria 

East Saint Louis 

Edwardsville 
Effingham 

Eldorado 

Elgin 

Elk Grove Village 

Elmhurst 

Elmwood Park 

Energy 

Equality 

Ene 

Eureka 

Evanston 

Evergreen Park 

Fairbury 

Fairfield 

Fairmont City 

Fairview Heights 



Table 77. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1986 — Continued 

Total 

employees 



ILLINOIS— Continued 



ILLINOIS— Continued 



F.in 



( .IV 



Farmington 

Flora 

Flossmoor 
Forest Park 
Forest View 

Fox Lake 

Fox River Grove 

Frankfort 

Franklin Park 

Freeburg 

Freeport 

Fulton 

Galena 

Galesburg 

Galva 

Geneva 

Georgetown 
Gibson City 

Girard 

Glasford 
Glen Carbon 

Glencoe 

Glendale Heights 
Glen Ellyn 
Glenview 

Glenwood 

Golf 
Grafton 
Granite City 
Grayslake 

Grayville 

Green Rock 
Greenup 

Greenville 

Hainesville 

Hamilton 

Hampshire 

Hampton 

Hanover 

Hanover Park 

Harnsburg 

Hartford 

Harvard 

Harwood Heights 

Hazel Crest 

Hebron 

Henry 

Herscher 
Hickory Hills 
Highland 
Highland Park 
Highwood 
Hillsboro 
Hillside 
Htnkley 

Hinsdale 

Hodgkins 

Hoffman Estates 

Hometown 

HomewtxKl 

Hoopeslon 

Huntley 

Ilhopolis 

Indian Head Park 
Island Lake 



Jacksonville 

Jerseyville 
Johnston City 

Johet 

Jonesboro 

Kankakee 
Kenilworth 
Kewanee 

Kirkland 

Knoxville 

Lacon 

La Grange 

La Grange Park 

Lake Bluff 

Lake-m-thc-Hills 
Lake Villa 
Lakewood 
Lake Zurich 

Lansing 
La Salle 
Lebanon 
Leland Grove 
Lemont 

Lewistown 
Libertyville 

Lincolnshire 

Lincolnwood 

Lindenhurst 

Lisle 

Litchneld 

Lock port 

Lombard 

Loves Park 

Lynwood 

Lyons 

Mackinaw 

Macomb 

Madison 

Mahomet 

Manhattan 

Manito 

Manteno 

Marengo 

Manon 

Marissa 

Markham 

Maroa 

Marquette Height 



M.ii 



■llles 



Marshall 
Martinsville 
Maryville 
Mascoutah 
Mason City 
Matteson ... 

Mattoon 

Maywood 

McCook 

McHenry 

McLeansboro 

Melrose Park 

Mendota 

Meredosia 

Metamora 

Metropolis 

Midlothian 



262 



able 77. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1986 — Continued 



Total 

employes 



Total 
police 

employees 



ILLINOIS— Continued 



ILLINOIS— Continued 

Pecatonica 

Pekin 

Peoria 

Peoria Heights 

Peotone 

Peru 

Petersburg 

Phoenix 

Pinckneyville 

Pittsfield 

Plainfield 

Piano 

Polo 

Pontiac 

Pontoon Beach 

Port Byron 

Princeton 

Prophetstown 

Quincy 

Rantoul 
Red Bud 
Richmond 
Richton Park 
Ridge Farm 
Ridgway 

Riverdale 

River Forest 

River Grove 

Riverside 

Robbins 

Robinson 

Rochelle 
Rochester 
Rockdale 
Rock Falls 
Rockford 

Rock Island 

Rockton 

Rolling Meadows 

Romeoville 

Roodhouse 

Roselle 

Rosemont 

Rossville 
Round Lake 
Round Lake Beach 
Round Lake Heights 

Round Lake Park 

Roxana 

Royalton 

Rushville 

Saint Charles 

Sandwich 

Sauk Village 
Savanna 

Saybrook 

Schaumburg 

Schiller Park 
Seneca 

Shawneetown 
Shelbyville 

Sherman 

Shorewood 

Skokie 

Sleepy Hollow 

Smithton 

South Barrington 

South Beloit 



263 



Table 77. — Number of Full-time Law Enforcement Employees, Cities 


October 31, 1986 — Continued 










Total 








Total 




Total 


Cty 


employees 




civilians 


City 


employees 






ILLINOIS— Continued 








ILLINOIS— Continued 








South Chicago Heights 






















Yates City 










34 










, 










Zeigler 
























11 


8 


3 






















INDIANA 










8 


5 
















8 


5 


3 








4 




Steger 


8 


7 


1 




13 








35 


24 


11 






14 


4 












II.iU'smIIc 




I 




Stockton 


3 






10 


4 


Stone Park 


16 


13 


3 




36 






Streamwood 


50 


34 


16 










Streator 


27 


22 


5 




73 


52 


21 


Sugar Grove 


3 


3 












Sullivan 


8 


7 


1 






9 




Summit 


28 


21 


7 




12 


8 




Swansea 


11 


8 


3 


Brownsburg., 


17 


13 


4 


Sycamore 






1 




6 


5 


1 


Taylorville 


19 


14 


5 


Cambridge City 


4 


4 




Thomasboro 


1 


1 












Thornton 


7 


6 


1 


Cedar Lake 


16 


11 


5 


Tilton 


2 


2 






11 


7 


4 


Tinley Park 


42 


35 


7 






4 




Tremont 


6 


4 


2 


Clarksville 


30 


25 


5 


Trenton 


5 


5 












Troy 


12 


8 


4 


Connersville 


38 


32 


6 


Tuscola 


6 


5 


1 








11 


University Park 


20 
50 


17 
41 


3 
9 




29 


23 




Urbana 






Vandalia 


17 


11 


6 










Venice 


13 


10 


3 










Vernon Hills 


28 


18 


10 


Edinburgh 


15 


10 




Vienna 


2 


2 




Elkhart 


121 


96 


2; 


Villa Grove 


5 


4 


1 


Elwood 


20 


16 


t 


Villa Park ... 


45 


34 


11 




257 


236 


21 


Virden 


7 


4 


3 


Fairmount 


8 


4 


i 


Wamac 


1 


1 




Fort Wayne 


357 


316 


41 


Warren 


3 


3 




Fowler 








Warrenville 


11 


9 


2 








t 


Washington 


14 
14 

7 


11 
10 
7 


\ 




3 


8 
9 

3 




Washington Park 




4 


Waterloo 






Watseka 


13 
17 


8 
11 


5 
6 




36 


33 
7 


i 


Wauconda 




4 


Waukegan 


153 


108 


45 










Wayne 


3 


3 










5 


Westchester 


39 


33 


6 










West Chicago 


26 


21 


5 








3.' 


West City 


9 


5 


4 










West Dundee 


14 


12 


2 


Highland 








Western Springs 


26 


19 


7 






S 


West Frankfort 


15 


11 


4 










Westmont 


46 


34 


12 








332 


Westvillc 


68 


49 


19 




4 






Wheaton 






Wheeling 


56 
10 
19 


40 

5 
17 


16 

5 
2 




47 
18 


13 




White Hall 






Willowbrook 




29 


Willow Springs 


13 


11 


2 






3 




Wilmette 


54 


39 


15 


Lafavette . 


104 


79 


25 


Wilmington 


12 




5 








_l 


Winchester 


3 


3 








34 


t 




11 


10 


1 




2i 


17 


4 




Winnebago. . 


1 


1 






5 


s 




Winnetka 


34 


23 


11 




p 




4 


Winthrop Harbor 


11 


7 


4 


1 og;insport 


39 


34 


5 






1 






6 


6 






















; 


Woodhull 


1 






66 












Martinsville 




34 


; 




25 


18 


7 


42 




Woodstock 


33 


23 


10 











fable 77. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1986 — Continued 



City 


Total 
employees 


Total 


Total 
civilians 


City 


Total 
police 

employees 


Total 
officers 


Total 
civilians 


INDIANA— Continued 

Michigan City 

Khawaka 
Monticello 


92 
82 
13 
16 
141 
34 
12 
64 
40 

30 
13 
15 

7 
47 
14 

3 
15 
91 

9 
23 
13 
14 
27 
284 
32 

134 

4 

47 
27 
33 
34 
11 
4 

26 
13 

5 

9 
15 

9 
60 

6 
25 
17 

4 

41 
6 
15 
45 
6 

21 
6 

53 
202 

11 

17 
47 
13 


84 
72 

8 
12 
123 
27 

8 
58 
37 

5 
24 
10 
11 

37 
10 

3 

7 
75 

8 
18 

9 
10 

235 
25 

9 
122 

9 

7 

35 
25 
27 
29 
5 

1 
22 

5 

5 
10 

8 
48 

5 
19 
13 

4 

4 
30 

6 
14 
32 

6 

5 
13 

6 
45 
163 

11 

8 
13 
10 

9 

12 
43 
9 


8 
10 

5 

7 

3 

3 
4 
3 
10 

8 
16 

5 

49 
7 
5 

5 

4 
12 
2 
6 
5 
6 

1 

12 

6 

11 

1 
13 

8 
39 

5 
1 

3 
1 

5 
4 
4 


IOWA— Continued 

Coralville 
Council Bluffs 
Cresco 


21 

109 

7 

13 
178 

17 

14 
436 

82 
8 
7 
5 
5 
8 

12 
8 

15 
8 

45 

32 
5 

12 

12 

9 
4 
5 

11 
15 

62 
15 

8 

7 

36 
15 

7 
12 
12 
12 
31 
57 
51 

4 

8 
12 

4 
39 

7 

6 
29 

6 
14 

5 

6 

7 
24 
38 
14 
14 

8 
13 

3 

4 

10 
11 
5 
150 
25 
7 


19 

92 

7 

9 

143 

13 

10 

326 

6 

76 
5 
7 
5 
5 
7 

12 
7 

11 

42 
26 
5 
7 
11 

8 

8 

5 

7 
11 
12 
52 
11 

8 

27 
11 

5 
12 

8 

25 
41 

5 

12 

32 
7 
6 

24 
5 

11 
5 
4 

6 

17 
32 
10 
10 
8 
9 
3 

6 
8 
5 

108 

6 


2 
17 




Davenport 


35 






Denison 






De Witt 

Dubuque 

Dyersville 

Eagle Grove 




<Jew Whiteland 


6 

3 










Eldndge 


































lochester 

whererville 


Fort Dodge 
Fort Madison 


3 
6 










Gnnnell 

Grundy Center 














Harhn 




















. 












2 












Vest Lafayette 


Jefferson . 








































IOWA 

Vdel 

Vlbia 
Ugona 


Marion 

Marshalltown 

Mason City 
Missouri Valley 


6 

16 
10 








. 






Vnamosa 










. , ' 






ludubon 






Norwalk 


1 


lelmond 

tettendorf 

lloomfield 




Onawa 








, . 






, . 






i i i 






^rroll 


Pella 

Perry 

Pleasant Hill 
Red Oak 
Rock Rapids 




barter Uke 
idar Falls 

>dar Rapids 

^enterville 

Chariton 

Charles City 

Cherokee 

Clarion 

3ear Lake 


4 












. 














1 








Spini Lake 


1 



Table 77. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1986 — Continued 



Total 

police 

employees 



IOWA— Continued 



KANSAS— Continued 



Storm Lake 

Story City 

Tama 

Urbandale 

Vinton 

Washington 

Waterloo 

Waukee 

Waukon 

Waverly 
Webster City 
West Burlington 
West Des Moines 
West Union 
Windsor Heights 



KANSAS 



Abilene 

Andale 

Andover 

Anthony 

Arkansas City 

Arma 

Atchison 

Augusta 

Baldwin City 

Belleville 

Beloit 

Bonner Springs 

Burlington 

Caney 

Cedar Vale 
Chanute 

Cheney 

Cherryvale 
Clay Center 

Clearwater 

ColTeyville 

Golby 

Columbus 

Colwich 

Concordia 
Council Grove 

Derby 

Dodge City 

Downs 

Edgerton 
Edwardsville 
E! Dorado 
Elkhart 
Ellinwood 

Ellis 

Ellsworth 

Emporia 
Erie 

Eudora 

Eureka 

Fairway 

Fort Scott 

Fredonia 

Frontenac 

Galena 

Garden City 

Gardner 

Garnett 
Girard 
Goddard 
Goodland 
Great Bend 
Hays 



Haysville . 

Herington 

Hesston 

Hiawatha 

Hoisington 

Horton 

Humboldt 

Hutchinson 

Independence 

Iola 

Junction City 

Kansas City 

Kingman 

Kinsley 

Lake Quivera 
Lansing 

Lawrence 
Leavenworth 

Leawood 

Lenexa 

Maize 

Manhattan 

Marysville 

McPherson 

Medicine Lodge 

Mernam 

Minneapolis 

Mission 

Mulvane 

Neodesha 

Newton 

North Newton 

Norton 

Oakley 

Olathe 

Osage City 

Osawatomie 

Osborne 

Ottawa 

Overland Park 

Paola 

Park City 

Parsons 

Phillipsburg 

Pittsburg 

Prairie Village 

Pratt 

Roeland Park 

Russell 

Sabetha 

Saint George 

Scott City 

Shawnee 
Silver Lake 
South Hutchinson 
Spring Hill 
Sterling 
Stockton 
Tonganoxie 

Valley Center 
Wa Keeney 
Wamego 
Wellington 
Westwood 

Wichita 

Winfield 

Yates Center 



266 



able 77. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1986 — Continued 



Total 
employees 



Total 
police 

mployees 



KENTUCKY— Continued 

Greenville 

Guthrie 

Hardinsburg 

Harlan 

Harrodsburg 

Hartford 

Hawesville 

Hazard 

Henderson 

Hickman 

Highland Heights 

Hillview 

Hindman 

Hodgenville 

Hopkinsville 

Horse Cave 

Hustonvilte 

Independence 
Irvine 

Irvington 

Jackson 

Jamestown 

Jeffersontown 

Jenkins 

Junction City 

La Center 

Lakeside Park 

Lancaster 

Lawrenceburg 

Lebanon 

Lebanon Junction 

Leitchfield 
Lewisburg 

Lewisport 

Lexington 

London 

Louisville 

Loyall 

Ludlow 

Madisonville 

Manchester 

Marion 

Martin 

Mayfield 

Middlesboro 

Millersburg 

Monticello 

Morehead 

Morganfield 

Morgantown 

Mount Sterling 

Mount Vernon 

int Washington 

Muldraugh 

nfordville 

Murray 

New Castle 

Newport 

Nicholasville 

North Middletown 

Nortonville 

Oak Grove 
Olive Hill 

Owensboro 

Owenton 

Owingsville 

Paducah 

Paintsville 

Paris 



267 



Table 77. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1986 — Continued 

Total 

mployees 



KENTUCKY— Continued 



LOUISIANA— Continued 



Park City 

Park Hills 

Perryville 

Pewee Valley 

Pikeville 

Pineville 

Preslonsburg 

Princeton 

Prospect 

Providence 

Raceland 

Radcliff 

Richmond 

Russell 

Russell Springs 

Russellville 

Saint Matthews 

Salyersville 

Scottsville 

Sebree 

Shelby ville 
Shepherdsville 

Shively 

Somerset 
Southgate 
Springfield 
Stanford 

Stanton 

Sturgis 

Taylor Mill 

Taylorsville 

Tompkinsville 

Uniontown 

Vanceburg 

Versailles 

Villa Hills 

Vine Grove 

Walton 

Warsaw 

West Buechel 

West Liberty 

West Point 

Wheelwright 

Whitesburg 

Wilder 

Williamsburg 

Williamstown 

Wilmore . 

Winchester 

Wingo 

Worthington 



Baskin 

Bastrop 

Baton Rouge 
Berwick 
Bogalusa 
Bossier City 
Church Point 

Crowley 

Denham Springs 
De Quincy 
Farmerville 

Franklin 

Franklinton 

Gonzales 

Gretna 

Harahan 

Haynesville 



Houma 
Jennings 

Jonesville 

Kaplan 

Kentwood 

Kinder 

Lafayette 

Lake Charles 

Leesville 

Loreauville 
Mamou 
Mandeville 
Mansfield 

Monroe 
Morgan City 
Natchitoches 
New Iberia 

New Orleans - 

Oakdale 
Patterson 
Pineville 
Ponchatoula 
Port Allen 

Rayville 

Ruston 

Martinville 
Shreveport 
Simmesport 

Springhill 

Sulphur 

Tallulah 

Vidaha 

e Platte 

ton 

Vivian 

Welsh 
Westlake 
West Monroe 

Westwego 

Winnfield 

MAINE 

Ashland 
Auburn 

Augusta 

Baileyville 

Bangor 

Bar Harbor 

Bath 

Belfast 

Berwick 

Biddeford 

Boothbay Harbor 

Brewer 

Bndgton 

Brunswick 

cksport 

Buxton 

Calais 

Camden 

Cape Eh/abet h 
Caribou 

Cumberland 

Damanscotta 

Dexter 

Dixfield 

Dover-Foxcroft 

East Millinocket 

Eastport 

Ehot 

Ellsworth 



268 



-time Law Enforcement Employees, Cities, October 31, 1986 — Continued 



Total 

employees 



Total 
police 

employees 



MAINE— Continued 



Aberdeen 
Annapolis 



Hah 



Bel Air 

Berlin 

Berwyn Heights 

Bladensburg 

Brunswick 

Cambridge 

Capitol Heights 

Centreville 

Chesapeake City 

Chestertown 

Cheverly 

Colmar Manor 

Cottage City 

Crisfield 

Cumberland 

Delmar 

Denton 

District Heights 

Easton 

Edmonston 

Elkton 

Fairmnunt Heights 

Federalsburg 

Forest Heights 

Frederick 

Frostburg 

Fruitland 

Glenarden 

Greenbelt 

Greensboro 

Hampstead 

Hancock 

Havre De Grace 

Hurlock 

Hyattsville 
Landover Hills 

La Plata 

Laurel 
Lonaconing 
Luke 

Manchester 
Momingside 
Mount Rainier 
New Windsor 
Nonh Beach 
North East 
Oakland 
Ocean City 
Ocean Pines 
Oxford 

Pocomoke City 
Port Deposit 
Preston 
Princess Anne 
Ridgely 

Rising Sun 

Riverdale 

Rock Hall 

Rock' 

Saint Michaels 

Salisbury 

Smithsb 

Snow Hill 

Sparrows Point 

Sykesville 

Takoma Park 

Thurmont 
University Park 




Table 77. — Number of Full-time Law Enforcement Employees, Cities 


October 31, 1986 — Continued 








City 


Total 

police 

employees 


Total 


Total 
civilians 


City 


Total 

employees 


Total 


Total 


MARYLAND— Continued 

Upper Marlboro 


1 

31 

29 
17 
23 
52 
30 
34 
62 
80 
5 
1 
1 
20 
18 
66 
25 
14 
16 
90 
25 

30 
62 
5 
2 

83 
72 
14 

2,541 

37 
7 
11 
5 
90 
19 
29 

208 
1 

157 

275 
40 
15 
23 
61 
77 

112 
20 
11 
50 
59 
58 

41 

10 
15 
37 
15 
29 
22 
19 
26 
26 
29 
11 
6 
91 
254 


25 

28 
15 
22 
48 
29 
29 
50 
74 
5 

1 

19 
18 
63 
19 
11 
12 
80 
24 
10 
25 
57 

2 

81 
60 
11 

1,946 

31 

6 

10 

5 

80 

17 

28 

183 

1 

146 

257 

38 

9 

21 

55 

65 

110 

10 
40 
51 
55 

4 
32 

9 

7 
15 
35 
11 
27 
22 
13 
25 
24 
28 
10 

6 
85 
215 


6 

1 

2 
1 

1 
5 

1 

3 

3 
4 
10 
1 

5 
5 
1 

2 
12 
3 

595 

1 
1 

10 
2 
1 

25 

11 

18 
2 
6 
2 
6 

12 
2 
1 
1 

10 

3 
9 

3 
2 
2 

1 

2 
1 
1 

6 
39 


MASSACHUSETTS— Continued 


64 
74 
27 
119 
36 
16 
34 

3 
12 
71 
21 
23 

8 
14 

4 
12 
18 

2 

7 
32 

90 
53 
19 
21 
7 
18 

33 
33 
23 
20 

16 

12 
31 

200 
28 
11 

164 
26 

115 
16 
27 
44 
12 
58 
48 
30 
15 
24 
17 

124 
19 

7 
8 
75 

38 
20 
17 
56 
15 
17 

11 

27 
62 
58 

278 
5 
34 

218 


56 
66 
26 
109 
30 
12 
32 
3 
8 
67 
16 
21 
8 

14 
2 
8 
16 
2 
7 
26 
1 
79 
47 
14 
21 

13 

1 
29 
27 
22 
15 
9 
14 
59 
12 
30 

174 
27 
10 

153 
19 

106 
14 
22 
42 
12 
54 
44 
23 
15 
22 
15 

116 
14 
59 
7 
5 
61 
38 
36 
19 
14 
53 
11 
15 
4 
10 
22 
55 
54 

237 

32 
198 




















MASSACHUSETTS 












Gardner 


2 




Gay Head 








4 








A 




5 


es ury 






Andover 










A hh h 


Hadley 


2 


A hb 


Hampden 


4 




Hanson 


2 




Hardwick 










Attl b 


Harwich 


6 


A b 


Hatfield 




Avo 


Haverhill 


11 


. 


Hingham 


6 


B stabl 


Holden 


5 


n ., . 








Hopedale 
Hopkinton 
Hubbardston 
Hudson 

Hull 


1 




5 


Belmont 


J 




6 


n i 






Billenca 


Lakeville 

Lee 


- 


_ . 




i 




Leominster 








B h 




| 




Lowell 


2c 






Braintree 


Lunenburg 

Lynn 


1 




11 


B d 






n gewa er 




c 




Manchester 

Mansfield 

Marblehead 

Marion 

Marlborough 


















i 






1 


Ch 1 f d 






Chelsea 








Maynard 
Medfield 








D It 




I 




Melrose 


U 

11 

: 
• 

41 

: 

2C 








Merrimac 

Methuen 

Middleboro 

Milford 

Millbury 

Millis 

Milton 

Monson 

Montague 

Monterey 

Nahant 

Nantucket 

Natick 
Needham 


Dennis 




Dover 


Dracut 




















New Bedford 


Everett 










Newton 



fable 77. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1986 — Continued 



City 


Total 
police 


Total 
officers 


Total 


City 


Total 

police 

employees 


Total 


Total 
civilians 


MASSACHUSETTS— Continued 

Norfolk 
North Adams 


18 
34 
60 
33 
34 
22 
17 
6 

25 
68 
13 
25 
18 
21 

27 

93 

237 
20 

20 
17 
11 
28 
52 
38 

28 
3 
2 
13 
10 
37 
147 
29 
26 
15 
15 
6 

50 
16 

31 

32 
35 
96 
11 

47 
78 
23 
27 
54 
14 
10 
28 
12 
16 
67 
32 
8 
28 
24 
72 
32 
107 
23 
12 


13 

53 
31 
30 
18 
16 
5 
1 
23 
60 

22 

87 

82 

17 
201 
13 
39 
16 

7 
26 
50 
31 

2 
13 

31 
140 
27 
25 
11 
12 
6 
42 
47 
12 

29 

10 
31 
30 

10 

45 
74 
22 
26 
48 
10 
9 
28 

16 
63 
25 

7 
25 
23 
65 
30 
96 
22 

9 


5 
2 
7 
2 
4 
4 

1 

2 
8 

3 
5 
5 
7 
1 
1 

36 

7 

2 
2 

7 

1 

7 
2 
1 

4 
3 

3 
4 

5 

1 
8 

2 

1 
1 
6 

1 

1 

7 
1 
3 
1 
7 
2 
11 

3 


MASSACHUSETTS— Continued 

Wilmington 

Winchendon 

Winchester 

Winthrop 

Woburn 

Worcester 

Worthington 

Yarmouth 

MICHIGAN 


41 
13 
50 
39 

73 
475 

48 

37 
1 

36 
7 
8 

58 

17 

20 

184 

2 

4 

2 
33 
7 

2 

129 
85 

2 

7 
10 

1 

9 
21 
28 
32 

7 
28 
16 

1 
49 
26 

5 
27 
89 

10 
4 
7 
4 
11 
4 
2 
21 
10 
17 

40 
18 

1 
48 
1 
2 
7 

i 

1 
2 


39 
12 
43 
38 
69 
373 

40 

31 

30 
6 

52 

13 
2 

19 
154 
2 
4 
1 
2 

24 
6 

1 
2 

5 
104 
78 
2 
6 
9 

8 
19 
21 
29 

6 
26 
15 

34 
20 
4 
23 
72 
1 
6 

6 

10 

2 
17 
10 
15 

1 
35 
14 

35 
2 
2 

3 
2 


2 

1 
7 


sJorth Andover 




102 




North Brookfield 


8 


Norton 
Norwood 




Orleans 






Oxford 
Palmer 


Albion 




Peabody .... 






Pembroke 






Pepperell 




4 


Pittsfield 






Plainville 




. 


Provincetown 
Juincy 


Ann Arbor 
Argentine Township 


30 


Reading 






Rehoboth 






Rockport 






Rowley 
















fc 


Baraga 




seekonk 
sharon 


Bath Township 


1 


Sheffield 






shelburne 






sherborn 


Bedford Township 


1 


Shrewsbury 






somerville 






oulhbndge 
outh Hadley 


Benton Harbor 


2 


southwick 
pencer 
tockbridge 
toneham 
toughton 


Berkley 

Berrien Springs-Oronoko 

Beverly Hills 

Big Rapids 

Birch Run 

Blackman Township 


3 

1 
2 

1 


turbridge 
udbury 


15 
6 


underland 






utton 






wampscott 






wansea 

raunton 


Boyne City 


4 


risburv 






Valtham 






Vareham 






Vatertown 


Bronson 




Vayland 




Vebster 






Vellesley 






Vellffeet 






IVenham ... 






Vestboro... 






Vest Boylston 






Vest Bndgewater 


r i 


Vestffeld 


C b d T ■ h 




Vestford 






Westminster 






Veston 






Vestpon 






Vest Spnngfield 

Vestwood 

Weymouth 


Carrollton Township 

Carson City 


1 
7 


Vilbraham 


Caseville 




Villiamstown 





Table 77. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1986 — Continued 



Total 



Total 
police 



MICHIGAN— Continued 



MICHIGAN— Continued 



Cass City 

Cassopohs 

Cedar Springs 
Cement City 

Center Line 

Centreville 
Charlevoix 
Charlotte 
Cheboygan 

Chelsea 

Chesaning 

Chesaning Township 

Chesterfield Township 

Chikaming Township 

Chocolay Township 

Clare 

Clawson 

Clay Township 

Clinton 

Clinton Township 

Clio-Vienna 

Coldwater 

Coleman 

Coloma 

Coloma Township 

Columbia Township 

Concord-Pulaski 

Constantine 

Coopersville 

Comnna 

Covert Township 

Croswell 

Crystal Falls 
Crystal Township 

Davison 

Davison Township 
Dearborn 
Dearborn Heights 
Decatur 

Deckeiville 

Denmark Township 

De Tour 

Detroit 

De Witt 

De Witt Township 

Douglas 

Dowagiac 

Dryden 

Durand 

East Detroit 

East Grand Rapids 

East Jordan 

East Lansing 
East Tawas 
Eaton Rapids 
Eau Claire 

Ecorse 

Elk Rapids 

Elkton 

Elsie 

Emmett Township 

Erie Township 

Escanaba 

Essexville 

Evan 

Fairgrove 

Fairhaven Township 

Farmington 

Farmington Hills 

Farwell 

Femdale 
Ferrysburg 
Flat Rock 
Flint 



Flint Township 

Flushing 

Flushing Township 

Forsyth Township 

Frankenmuth 

Frankfort 

Franklin 
Fraser 

Fremont 

Frost Township 

Gagetown 

Galesburg 
Garden City 

Gaylord 

Genesee Township 
Gerrish Township 

Gibraltar 

Gladstone 
Gladwin 

Grand Beach 
Grand Blanc 
Grand Blanc Township 
Grand Haven 

Grand Ledge 

Grand Rapids 
Grandville 

s Lake 
Grayling 

n Oak Township 
Greenville 

se He Township 
Grosse Pointe 

se Pointe Farms 

se Pointe Park 
Grosse Pointe Shores 

se Pointe Woods 
Hamburg Township 
Hampton Township 
Hamtramck 
Hancock 
Harbor Beach 
Harbor Springs 
Harper Woods 

Harrison 

Hart 

Hartford 

Hastings 

Haze! Park 

Henrietta Township 

Hesperia 

Highland Park 
Hillsdale 

Holland 

Holly 

Homer 

Houghton 

ard Township 

Howell 

Hudson 

Hudson ville 

ntington Woods 
ron Township 
Imlay City 

Ionia 

on Mountain 
Iron River 

Ironwood 

[shpeming 

Ithaca 

Jonesville 
Kalamazoo 



272 



Table 77. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1986 — Continued 

T ° tal Total Total 

P° ,ce officers civilians Clt " P°,'" 

employees employees 



MICHIGAN— Continued 



MICHIGAN— Continued 



Muskegon 
Muskegon Heights 
Muskegon Township 
Napoleon Township 
Nashville 

Negaunee 

Newaygo 

Baltimore 

New Buffalo 

New Lothrop 

Niles 

Niles Township 

Northfield Township 

North Muskegon 

Northville 
Northville Township 

Norton Shores 

Norvell Township 
Norway 

Oak Park 

Olivet 

Onaway 

Ontonagon 

Ontwa Township- Edwardsburgh 

Orchard Lake 

Oscoda-Ausable Township 

Otisville 

r Lake 

Ovid 

Owosso 

Oxford 

Parchment 

Parma 

Paw Paw 

Peck 

Pennfield Township 

Pent water 

Perry 

Petoskey 

Pinckney 
Pinconning 
Pittsfield Township 
Plainwell 
Pleasant Ridge 
Plymouth 

Pontiac 

Portage 

Port Austin 

Port Huron 

Portland 

Port Sanilac 

Potterville 

Prairieville Township 

Quincy 

Reading 

Redford Township 

Reed City 

Reese 

Richfield Township (Genesee County) 

Richfield Township (Roscommon County) 

Richland 

Richland Township 

Richmond 

r Rouge 
Riverview 
Rochester 
Rockford 

Rockwood 

Rogers City 

Romeo 



Table 77. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1986 — Continued 





Total 


Total 


Total 




Total 


Total 


Total 


City 


employees 


officers 


civilians 


City 


police 
employees 




civilians 


MICHIGAN— Continued 








MICHIGAN— Continued 








Romulus 


46 


38 


8 


Wayne 


46 


35 


11 


Roosevelt Park 


7 


6 


1 


West Bloomfield Township 


48 


36 


12 


Rose City 


1 






West Branch 




3 




Roseville 


89 


79 


10 


Westland 


101 


89 




Ross Township 


2 






White Cloud 








Royal Oak 


102 


90 


12 


Whitehall 


6 


6 




Royal Oak Township 


28 


23 


5 


White Lake Township 


21 


13 


8 


Saginaw 


150 


135 


15 


White Pigeon ., 


2 


2 




Saginaw Township 


33 


29 


4 


Wilhamston 




4 




Saint Charles 


3 






Wixom 


14 


12 


2 


Saint Clair 


9 




1 


Wolverine Lake 


8 


6 


: 


Saint Clair Shores 


90 


84 


6 


Woodhaven 


25 


23 


2 


Saint Ignace 


5 






Wyandotte 


58 


48 


10 


Saint Johns 


15 


11 


4 


Wyoming 


97 


71 


26 


Saint Joseph 


25 


21 


4 


Yale 


4 


3 


1 


Saint Joseph Township 


9 




1 


Ypsilanti 


52 


40 


12 


Saint Louis 


8 




2 


Zeeland 


7 


6 


1 


Saline 


16 
1 


l \ 


4 


Zilwaukee 


4 


4 




Sand Lake 




Sandusky 








MINNESOTA 








Saugatuck 


3 




1 








Sault Sainte Mane 


27 


25 


2 


Albert Lea 


38 


29 


9 


Schoolcraft 


2 






Alexandria 


20 


14 


6 


Scottville 


3 








32 


25 


7 


Sebewaing 


3 






Apple Valley 


32 


23 


9 


Shelby 


3 






Austin 


48 


32 


16 


Shelby Township 


45 


38 


7 


Babbitt 


4 


4 




Shepherd 


1 






Baxter 


3 


3 




Somerset Township 


1 






Baypon 
Belle Plaine 
Bemidji 


4 






Southfield 


198 


151 


47 


25 






Southgate 


54 


44 


10 


17 








South Haven 


16 




3 


Big Lake 




5 




South Lyon 


8 




1 


4 

37 


A 


South Rnckwood 


1 






30 


i 




Sparta 


8 




3 


Bloomington 


117 


94 








Spaulding Township 


1 






Blue Earth 


5 


6 




Spring Arbor Township 


2 






Brainerd 


20 


17 


3 


Springfield 


11 


10 


1 


Breckenridge 


11 


7 






Spring Lake 


4 






Brooklyn Center 


38 


29 


9 




Spnngport 


1 






Brooklyn Park 


56 


45 










1 






Buffalo 


8 


7 








Sterling Heights 


210 


155 


55 


Burnsville 
Caledonia 


58 
3 
6 
6 

13 


45 




Stevensvilte 












18 


14 


4 


6 




Summit Township 


77 


46 


31 


Cannon Falls 
Champlin 




Sumpter Township 


7 




1 


12 


1 




Sunfield 


1 


1 




( h.inh.issen Village 


5 


3 


2 




Swart l Creek 


8 


7 


1 


Chaska 


10 


q 


I 


Sylvan Lake 


5 


5 




Chisholm 


13 


13 




Taylor 


105 


95 


10 


Circle Pines-Lexington 


8 


7 


1 


Tecumseh 




13 




Cloquet 
Cold Spring 


16 


15 




Thomas Township 


1 


1 










Three Oaks 


3 


3 




Columbia Heights 


23 


18 


5 


Three Rivers 


17 


12 


5 


Coon Rapids 


51 


45 


6 


Tittabawassee 


3 


3 




Corcoran 


4 


3 


1 


Traverse City 


28 


27 


1 


Cottage Grove 


32 


20 


12 


Trenton 


54 


47 


7 


Crookston 


14 


12 


2 


Troy 


153 


110 


43 


Crosby 


g 




3 


Tuscarora Township 


4 


4 




Crystal 


38 


30 


8 


Twin City 


4 


4 




Dawson 


3 


3 




Unadilla Township 


1 


1 




Dayton 




1 




Union City 


3 


3 




Deephaven 


8 


7 


1 


Unionville 


2 


2 




Detroit Lakes 


13 


11 


2 


Utica 


12 


8 


4 


Dilworth 


2 


2 




Van Buren Township 


9 


7 


2 


Duluth 


168 


130 


38 


Vassar 


4 


4 






36 


29 


7 


Vermontville Township 


2 


2 




East Grand Forks 


18 


15 


3 


Vernon 


1 


1 




Eden Prairie 


43 


29 


14 


Vicksburg 


7 


6 


1 


Edina 


47 


43 


4 


Walker 


22 


19 


3 


Elk River 


12 


10 


2 


Walled Lake 


14 


10 




Ely . 
Eveleth . 
Fairmont 
Faribault 


10 
28 






Warren 


269 


229 


40 


8 
21 




Waterford Township 


77 


60 


17 




Watervliet 








7 




Wayland 




4 













"able 77. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1986 — Continued 



Total 
police 

cinplou-cs 



Total 

police 

employees 



MINNESOTA— Continued 



MINNESOTA— Continued 

Rochester 

Roseville 

Rosemount 

Saint Anthony 

Saint Bonifacius-Minnetnsta 

Saint Cloud 

Saint James 

Saint Joseph 

Saint Louis Park 

Saint Paul 

Saint Paul Park 

Saint Peter 

Sartell 

Sauk Centre 

Sauk Rapids 

Shakopee 

Silver Bay 

Slayton 

Sleepy Eye 

South International Falls 
South Lake Minnetonka 
South Saint Paul 

Springfield 

Spring Lake Park 

Staples 

Stillwater 

Thief River Falls 

Two Harbors 

Virginia 

Wabasha 

Wadena 

Waite Park 

Waseca 

Wayzata 
Wells 

West Hennepin 

West Saint Paul 
White Bear Lake 
Willmar 

Windom 

Winona 

Woodbury 

Worthington 

Aberdeen 
Ackerman 

Amory 

Batesville 

Bay Saint Louis 

Bay Springs 

Brookhaven 

Calhoun City 

Clarksdale 

Cleveland 

Clinton 

Coldwater 

Collins 

Columbia 

Columbus 

Connth 
Decatur 
De Kalb 
Drew 

Flowood 

Fulton 
Greenville 



275 



Table 77. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1986 — Continued 

T ° Ial I Total I Total | 

po , 1,ce officers civilians Clty P°,'" 
employees employees 



MISSISSIPPI— Continued 



MISSOl RI— Continued 



Greenwood 

Grenada 

Gulfport 

Hattiesburg 

Hazlehurst 

Hernando 

Hollandale 

Indianola . 

Inverness 

Iuka 

Jackson 

Kosciusko 

Laurel 

Leakesville 

Long Beach 

Lucedale 

Macon 

Madison 

Magee 

McComb 

Meridian 

Morton 

Moss Point 

Natchez 

Newton 

Ocean Springs 

Oxford 

Pascagoula 

Pearl 

Pelahatchie 

Petal 

Philadelphia 

Picayune 

Poplarville 

Purvis 

Raymond . 
Ridgeland 
Ripley 
Rolling Fork 

Ruleville 

Sandersville 

Senatobia 

Shelby 

Starkville 

Sunflower 

Terry 

Tupelo 

Vicksburg 

Water Valley 

Waveland 

Waynesboro 

Wiggins 

Winona 

Yazoo City 



MISSOURI 



Arnold 

Ballwin 

Bellefontaine Neighbo 

Bel-Nor 

Bel-Ridge 

Belton 
Berkeley 
Blue Springs 
Bolivar 
Bonne Terre 

Boonville 

Branson 

Breckenridge Hills 

Brentwood 

Bhdgeton 

Brookfield 



Butler 

California 

Calverton Park 

Cameron 

Canton 

Cape Girardeau 

Carrollton 

Carthage 

Chaffee 

Charlack 

Claycomo 

Clayton 

Clinton 

Columbia 

Cool Valley 

Country Club Hills 

Crestwood 

Creve Coeur 

Crystal City 

Dellwood 

De Soto 

Des Peres 

Edmundson 

Ellisville 

Excelsior Springs 

Farmington 

Fayette 

Fenton 

Ferguson 

Festus 

Flat River 

Florissant 

Frontenac 

Gladstone .... 
Glendale 

n Valley 

Hanley Hills. . 
Hannibal ... 
Harnsonville 
Hazelwood 

Hillsdale 

Independence 

Jackson 
Jefferson City 

Joplin 
Kansas City 

Kennett 
Kirksville 

Kirkwood 

Ladue 

Lake Lotawana 
Lake Saint Louis 

Lebanon 
Lees Summit 
Lexington 
Louisiana 

Maplewood 

Marshall 
Maryland Heights 



276 



able 77. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1986 — Continued 

T f I Total I Total II 

P '' ce officers civilians Cl,y P '" 
employees employees 



MINSOIRI— Continued 



MONTANA— Continued 



t Hills 
and Country 



Fort Benton 

Glasgow 

Glendive 
Great Falls 

Hamilton 

Havre 

Helena 

Kahspell 

Laurel 

Livingston 

Malta 

Miles ("ity-Custer County 

Missoula 

Plenty wood 

Poison 
Red Lodge 

Thompson Falls 

Troy 

West Yellowstone 

Whitefish 

Wibaux 

NEBRASKA 

Alliance 

Ashland 

Aurora 
Beat nee 
Bellevue 
Blair 
Broken Bow 

Central City 

Chadron 

Columbus 

Cozad 
Crete 

Dakota City 
David City 
Elkhorn 
Fairbury 
Falls City 
Fremont 

Gordon 

Gothenburg 

Grand Island 

Hastings 
Holdrege 

Kimball 

La Vista 

Lexington 

Lincoln 

Madison 

McCook 

Milford 

Mitchell 

Nebraska City 

Norfolk 

North Platte 

Ogallala 

Omaha 

O'Neill 

Ord 

Papillion 

Plattsmouth 

Ralston 

Schuyler 

ScottsblufT 

Seward 



277 



Table 77. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1986 — Continued 



Total 

employees 



Total 
police 

mployees 



NEBRASKA— Continued 



South Sioux City 
Stanton 

Syracuse 

Tecumseh 
Tekamah 



Valley 

Wahoo 

Wayne 

West Point 

Wilber 

York 



NEVADA 

Boulder City 

Caliente 

Carlin 

Fallon 

Las Vegas Metropolitan Police Jurisdiction 
Lovelock 

North Las Vegas 

Reno 

Sparks 

Winnemucca 

Yenngton 

NEW HAMPSHIRE 

Allenstown 

Alton 

Amherst 

Ashland 

Auburn 

Barnngton 

Bedford 
Belmont 
Berlin 

Boscawen 

Bow 

Bradford 

Bristol 

Carroll 

Charlestown 

Claremont 

Colebrook 

Concord 

Conway 

Derry 

Dover 

Durham 

Enfield 
Epping 

Exeter 

Farmington 

Fitzwilliam 

Franklin 

Gilford 

Goffstown 

Gorham 

Greenville 

Hampstead 

Hampton 

Hanover 

Haverhill 

Hillsboro 

Hinsdale 

Holderness 
Hollis 

Hooksett 

Hopkinton 

Hudson 

Jackson 



NEW HAMPSHIRE— Continued 

Keene 

Kingston 

Laconia 

Lancaster 

Lebanon 

Lee 

Lincoln 

Litchfield 

Littleton 

Londonderry 

Manchester 

Meredith ..... 

Merrimack 

Milford 
Milton 
Moultonboro 
Nashua 
New Castle 
New Hampton 

Newington 

New London 

Newmarket 

Newport 

Newton 

Northfield 

North Hampton 

Northumberland 

Northwood 

Pelham 

Pembroke 

Peterborough 

Plainfield 

Plaistow 

Plymouth 

Portsmouth 

Raymond 

Rochester 

Rye 

Sanbornton 

Seabrook 

Somersworth 

Sunapee 

Tilton 

Wakefield 
Waterville Valley 
Webster 
Wilton 

Winchester 

Windham 
Wolfeboro 
Woodstock 



NEW JERSEY 



Aberdeen Township 

Absecon 

Alexandria Township 

Allendale 

Allenhurst 

Allentown 

Andover Township 

Asbury Park 

Atlantic City 
Atlantic Highlands 

Audubon 

Audubon Park 

Avalon 

Avon-by-the-Sea 

Barnegat Township 



ible 77. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1986 — Continued 



Total 
police 

employees 



Total 
police 

employees 



NEW JERSEY— Continued 



Township 
linson Township 



NEW JERSEY— Continued 



Dover Township 

Dumont 

Dunellen 

Eastampton Township 
East Brunswick Township 
East Greenwich Township 
East Hanover Township 

East Newark 

East Orange 

East Rutherford 

East Windsor Township 

Eatontown 

Edgewater 

Edgewater Park Township 
Edison 

Egg Harbor City 

Egg Harbor Township 

Elizabeth 

Elk Township 

Elmwood Park 

Emerson 

Englewood 

Englewood Cliffs 

Englishtown 

Essex Fells 

Evesham Township 

Ewing Township 

Fairfield 

Fairfield Township 

Fair Haven 

Fair Lawn 

Fairview 

Fanwood 

Far Hills 

Flemington 

Florence Township 

Florham Park 

Fort Lee 



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 



Hampton 

Hanover Township 
Harding Township 
Hardyston Township 



Table 77. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1986 — Continued 



Total 

employees 



Harrington Park 
Harrison 

Harrison Township 
Harvey Cedars 
Hasbrouck Heights 

Haworth 

Hawthorne 

Hazlet Township 

Helmetta 

High Bridge . 

Highland Park 

Highlands 

Hightstown 

Hillsborough Township 

Hillsdale 

Hillside Township 

Hi Nella 

Hoboken 

Ho-Ho-Kus 

Holland Township 

Holmdel Township 

Hopatcong 

Hopewell Township 
Howell Township 
Interlaken 

Island Heights 

Jackson Township 

Jamesburg 
Jefferson Township 
Jersey City 
Keansburg 

Kenilworth 

Kinnelon 

Lacey Township 

Lakehurst 

Lakewood 

Lambertville 

Laurel Springs 

Lavallette 

Lawnside 

Lawrence Township (Merc 

Lebanon Township 

Leonia 

Lincoln Park 

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 Townshtp 

Lyndhurst Township 

Madison 

Magnolia 

Mahwah Township 

Manalapan Township 

Manasquan 

Manchester Township 

M.mstirld Township 

Mantoloking 

Mantua Township 



dun 



NEW JERSEY— Continued 



Maple Shade Township 
Maplewood Township . .. 
Margate City 

Marlboro 

Matawan 



Maywood 

Medford Lakes 

Medford Township 

Mendham.. 

Mendham Township 

Merchantville 

Metuchen 

Middlesex 

Middle Township 

Miduletown Township 
Midland Park 

Milford 

Millburn Township 

Milltown 

Millvilie 

Mine Hill Township 

Monmouth Beach 

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

Montclair 

Montgomery Township 

Mont vale 

Montville Township 

Moonachie 

Moorestown Township 

Morris Plains 

Mornstown 

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 

Oradell 



tie 77. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1986 — Continued 

T ° tal I Total I Total II 

po , 1,ce officers civilians Clty P°, 1k 
employees employees 



NEW JERSEY— Continued 



NEW JERSEY— Continued 



Shrewsbury 
So me rd ale 
Somers Point 
Somerville 
South Amboy 

South Belmar 

South Bound Brook 

South Brunswick Township 

South Hackensack 

South Harrison Township 

South Orange 

South Plainfield 

South River 

South Toms Ri\er 

Sparta Township 

Spotswood 

Springfield 

Spring Lake 

Spring Lake Heights 

Stafford Township 

Stanhope 

Stillwater Township 
Stone Harbor 
Stratford 
Summit 
Surf City 



Swedesboro 

Tea neck Township 

Teterboro 

Tewksbury Township 

Tinton Falls 

Totowa 

Trenton 

Tuckerton 

m Beach 

n City 

•n Township 
Upper Saddle River 

nor City 

Vernon Township 

Verona 

Vineland 

Voorhees Township 
Waldwick 
Wellington 
Wall Township 

Wanaque 

Warren Township 

Washington 

Washington Township {Bergen County) 

Washington Township (Gloucester County) 

Washington Township (Mercer County) 

Washington Township (Morns County) 

Washington Township (Warren County) 

Watchung 

Waterford Township 

Wayne Township 

Weehawken Township 

Wenonah 

Westampton Township 

West Amwell Township 

West Caldwell 

West Cape May 

West Deptford Township 

West field 

West Long Branch 

Milford Township 
West New York 
West Orange 
West Patterson 
Westville 
West Wildwood 
West Windsor Township 



Table 77. — Number of Full-time Law Enforcement Employees, Cities, 


October 31, 1986 — Continued 








City 


Total 
police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 
employees 


Total 


Total 

civilian 


NEW JERSEY— Continued 


26 
11 

42 
26 
77 

5 
72 
202 
31 

6 
17 

17 
7 
5 

25 

75 

1,054 

20 

25 
7 
2 
1 
13 
75 
12 
8 
27 
3 
10 
112 
94 
30 
97 

9 

5 

113 
50 
42 
15 
28 
10 
22 

5 
24 
45 
95 
33 
10 
10 
28 

3 
25 

7 
15 
30 

5 

1 

3 
374 
5 
6 
166 
22 
39 


25 
10 
33 
21 
62 

5 
57 
168 
24 

5 

4 
17 
6 
5 

23 

57 
683 
13 
7 
19 
6 
2 
1 
7 
57 
6 
4 
21 
3 
5 
85 
46 
19 
65 

5 

2 
87 
35 
31 
12 
19 

6 
19 

2 
17 
33 
70 
31 
10 

22 
3 

18 
3 
9 

21 
2 
1 

1 

3 

313 

5 

140 
22 
37 


1 
9 
5 
15 

15 
34 

7 

1 

1 
2 

18 
371 

7 

6 

18 

5 
27 
48 

32 

3 
26 
15 
11 
3 
9 

3 
3 
7 
12 
25 
2 

6 

7 

6 
9 
3 

61 

26 

2 


NEW YORK— Continued 
Andover 


5 
3 

5 
3 

10 
14 
33 
39 
39 
142 

2 

17 
49 
14 
27 
6 
1,148 

14 

28 
6 
3 

13 
37 
5 

6 

5 
3 
3 
6 
136 
1 
2 
6 
5 

36 
3 
141 
6 
3 

28 
5 

43 
3 

5 
10 

1 
30 
19 
60 
18 
21 
54 
8 
9 
15 

89 

50 
1 
23 
10 
43 
1 
5 


1 
5 

3 
1 
5 

3 
6 
10 
31 
36 
31 
134 

1 

2 
17 
40 
14 
23 

6 
1,032 

3 
13 

26 
6 
3 
11 
36 
5 
1 
5 
5 
3 
3 
6 
120 

6 
2 

32 
3 
104 
6 
3 

28 
5 

39 
3 
1 

7 

30 
15 
52 
13 
16 
45 

7 

7 
12 
11 

1 
84 
14 
38 

1 
19 

9 
35 

1 

5 





















Attica 








Winslow Township 

Woodbridge Township 

Woodbury 

Woodbury Heights 

Woodchff Lake 

Woodlynne 


Ballston Spa 

Bath 

Beacon 

Bedford 

Bethlehem 

Binghamlon 

Blasdell 








Woolwich 
Wyckoff 






















Bronxville 






Buffalo ... ............ 

Caledonia 

Canajoharie 

Canandaigua 

Canastota 

Canisteo 

Canton ... 
Carmel 








Aztec- 
Bayard 




Bosque Farms 




Centn 






































Ca/enovia 








Estancia 






Eunice 






Farmington 








Clarkstown 
Clifton Springs 














Cobleskill 

Cold Spring 

Colonie 




Jal 
















Los Alamos 
















































Rio Rancho 


Crawford 
Dansville 
Delhi 

Dunkirk 

East Aurora-Aurora Town 

Eastchester 

East Greenbush 

East Hampton Village 

East Hampton Town.. 

East Rochester 

East Syracuse 
Ellenville 
Ellicott ... 
Elhcottville 












Santa Rosa 








Taos 




Tatum 
















NEW YORK 








Addison 








Fairport 
















Florida Village 
Fori Edward 







282 



ible 77. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1986 — Continued 



police 

employees 



Total 

employees 



NEW YORK— Continued 

Middleport 

Mill Neck 

Mohawk 

Monroe 

Montgomery Town 

Monticello 

Mount Kisco 

Mount Pleasant 
Naples 

Newark 

Newburgh 

Newburgh Town 

New Castle 

New Hartford Town and Village 

New Paltz Town and Village 

New Rochelle 

New Windsor Town 

New York 

New York Mills 

Niagara 

Niagara Falls 

Niskayuna Town 
Nissequogue Village 
Norfolk Town 

North Castle 

North Greenbush Town 

North Hornell Village 

Northport Village 

North Syracuse 

North Tarrytown 

North Tonawanda 

Norwood Village 

Ocean Beach Village 

Ogden 

Ogdensburg 

Old Hrookville 
Olean 

Oneida 

Oneonta 
Orchard Park 

Owego Village 

Oyster Bay Cove 

Palmyra 

Pawling 

Peekskill 
Pelham Manor 
Penn Yan 
Perry 

Piermont Village 

Plattsburgh 

Pleasantville 

Port Chester 

Port Dickinson 

Port Henry 

Port Jervis 

Portville 

Port Washington 

Potsdam 

Poughkeepsie 

Poughkeepsie Town 

Pulaski 

Putnam Valley 

Quogue Village 

Ramapo Town 
Red Hooks 
Rensselaer 
Riverhead Town 

Rochester 

Rockville Centre 

Rotterdam 

Rouses Point 

Rye Brook 

Sag Harbor 



283 



Table 77. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1986— Continued 



Total 

employees 



NEW YORK— Continued 

Saint Johnsville 

Salamanca 
Sands Point 

Saugerties Village 

Scarsdale 

Schenectady 

Schodack Town 

Schoharie 

Seneca Falls 
Sherrill 

Sidney 

Silver Creek 
Skaneateles 
Sodus Point 
Solvay 

Southampton Town 
Southampton Village 
South Glens Falls 
South Nyack 

Southport 

Spring Valley 

Suffern 

Tonawanda Town 

Troy 

Tuckahoe 

Tupper Lake 

Ulster 

Vestal 

Walden 

Warwick 

Warwick Town 

w jshingtonville 

Waterloo 

Watervhet 

Watkins Glen 

Webb 

Webster 

Wellsville 

Westhampton Beach Village 

White Plains 

Whitesboro 

Windham 

Wolcott Village 

Woodbury 

Woodhull Village 

Woodndge 

Woodstock Town 

Yonkers 

Yorktown 

Yorkville 

NORTH CAROLINA 

Aberdeen 

Ahoskie 

Albemarle 

Andrew 

Angier 

Archdale 

Asheboro 

Asheville 
Atlantic Beach 

Ayden 

Bailey 

Banner Elk 

Battleboro 

Beach Mountain 

Beaufon 

Belhaven 

Belmont 



NORTH CAROLINA— Continued 

Benson 

Bessemer Citv 

Bethel 

Beulaville 
Biltmore Forest 

Black Creek 

Black Mountain 

Bladenboro 

Blowing Rock 

Boiling Springs 

Boiling Springs Lakes 

Brevard 

Bridgeton 

Broadway 

Brookford 
Bryson City 

Bunn 

Burlington 

Butner 

Calypso 

Candor 

Canton 

Cape Carteret 

Carolina Beach 

Carrboro 

Cary 

Catawba 
Chadbourn 
Chapel Hill 
Charlotte 
Cherry ville ..... 
China Grove 
Claremont 



Clyde 

Coats 

Concord 

Conover 



Dallas 

Davidson 

Denton 

Dobson 

Drexel 

Dunn 

Durham 

Eden . 

Edenton 

Elizabeth City 

Elkin 

Ellerbe 

Elm City 

Elon College 

Emerald Isle 

Enfield 

Erwin 

Fair BlufT 

Fayetteville 
Forest City 
Franklin 
Franklinton 
Fremont ....... 

Fuquay-Varina 

( raston 

Gastonia 

Gibson 



77. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1986 — Continued 



Total 

police 

employees 



Total 

police 

employees 



NORTH CAROLINA— Continued 



NORTH CAROLINA— Continued 



Mount Gilead 

Mount Holly 

Mount Olive 
Murfreesboro 

Murphy 

Nags Head 

Nashville 
New Bern 
Newland 

Newport 

Newton 

North Wilkesboro 

Norwood 

Oakboro 
Oxford 
Pembroke 
Pilot Mountain 

Pine Knoll Shores 
Pinetops 
Pineville 
Pink Hill 

Pittsboro 

Plymouth 

Polkton 

Princeton 

Raeford 

Raleigh 

Ramseur 

Randleman 

Ranlo 

Red Springs 

Reidsville 

Richlands 

■r Bend 
Roanoke Rapids 

Robbins 

Robbinsville 

Robersonville 

Rockingham 

Rocky Mount 
Rose Hill 

Rowland 

Roxboro 
Rutherfordton 
Saint Pauls 
Salisbury 

Sanford 

Scotland Neck 

Selma 

Shallotte 

Shelby 

Siler City 

Smithfiefd 

Southern Pines 

Southern Shores 

Southport 

Sparta 

Spindale 

Spring Hope 

Spring Lake 

Spruce Pine 

Stantonsburg 

Star 

Statesville 



Sugar Mountain 
Sunset Beach 
Surf City 
Swansboro 
Sylva 
Tarboro 
Taylorsvillc 
Thomasville 



Table 77. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1986 — Continued 

Total 

employees 



NORTH CAROLINA— Continued 



OHIO— Continued 



Topsail Beach 
Trentwood 
Troutman 
Troy 

Valdese 

Vanceboro 

Vass 

Wadesboro 

Wake Forest 

Wallace 

Walnut Cove 

Warrenton 

Warsaw 

Washington 

Waxhaw 

Waynesville 

Weaverville 

Weldon 

Wendell 

West Jefferson 

Whispering Pines 

White Lake 

Whiteville 

Wilkesboro 



Winston-Salem 

Winterville 

Woodfin 

Woodland 

Wnghlsville Beac 

Yadkinville 

Zebulon .. . 



NORTH DAKOTA 



Bismarck 
Bowman 
Carnngton 
Devils Lake 
Dickinson 

Grafton 

Grand Forks 

Hazen 
Hillsboro 

Jamestown 

Mandan 
Mayville 
Minot 
Rugby 
Valley City 
Wahpeton 
Watford City 
West Fargo 
Wilhston 



Archbold 

Arlington Heights 
Ashland 



Ashtabula 

Aurora 

Avon Lake 

Bainbndge 

Barberton 
Bath Township 
Bay Village 
Bazetta Township 
Beavercreek Township 

Bedford 

Bedford Heights 

Bellaire 

Bellbrook 

Bellefonlaine 

Belpre 

Berea 

Bethel 
Beverly 

Blanchester 

Blue Ash 

Bluffton 

Boardman 

Bowling Green 

Bradford 

Brady Lake 

Brecksville 

Brewster 
Briarwood Beach 

Bridgeport 

Broadview Heights 

Brookfield Township 

Brooklyn 

Brooklyn Heights 

Brook Park 

Brookville 

Brunswick 

Burton 

Cadiz 

Cambridge 

Canal Fulton 

Canfield 

Canton 

Carey 

Carlisle 
Celina 

Centerville 

Chagrin Falls 

Chardon 

Cheviot 

Chillicothe 

Cincinnati 

Circleville 

Clear Creek Township 

Cleveland 

Clinton Township 

Clyde 

Coldwater 

Columbiana 

Columbus 

Conneaut 

Covington 

Cuyahoga Falls 
Dalton 

Dayton 

Defiance. . 

Delhi Township 

Delta 

Dennison 



able 77. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1986 — Continued 



Total 

employees 



Total 
police 

rnplou-! 



OHIO — Continued 



OHIO— Continued 



Lexington 
Liberty Township 
Lima 

Lockland 

Logan 

London 

Loudonville 
Louisville 

Loveland 
Lyndhurst 
Madeira 

Madison township (Lake County) 

Madison Township (Montgomery County) 

Mansfield 

Maple Heights 

Manemont 

Marietta 

Marion 

Marlboro Township 

Mason 

Massillon 

Maumee 

Mayfield 

Mayfield Heights 

McConnelsville 

Mentor 

Mentor-on-the-Lake 

Miamisburg 

Miami Township 

Middleburg Heights 

Middlefield 

Middletown 

Milford 

Minerva 

Minerva Park 

Mingo Junction 

Mogadore 

Montgomery 

Montpeher 

Moraine 

Mount Sterling 

Munroe Falls 

Napoleon 

Navarre 

Newark 

Newcomerstown 

New Lebanon 

New Lexington 

New Philadelphia 

Newtown 

Niles 

North Canton 

North College Hill 

North Kingsville 

North Olmsted 

North Ridgeville 

North Royalton 

Northwood 

Norton 
Norwalk 

Norwood 

Oak Harbor 

Oakwood 

Oakwood Village 

Oberlin 

Olmsted Falls 

Ontario 

Oregon 

Orrville 

Ottawa 

iwa Hills 
Oxford 



287 



Table 77. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1986 — Continued 

Total 

mpiovivs 



OHIO — Continued 



OHIO — Continued 



Perkins Township 

Perrysburg 

Perry Township (Stark County) 

Pierce Township 

Port Clinton 

Portsmouth 

Randolph Township 

Reading 

Reynoldsburg 

Richfield 

Richmond Heights 

Richwood 

Rittman 

Riverside 

Rossford 

Sagamore Hills 

Saint Marys 

Salem 

Sandusky 

Sebring 

Seven Hills 

Seville 

Shadyside 

Shaker Heights 

Sharonville 

Shelby 

Silverton 

Smith Township 

South Euclid 

South Russell 

South Solon 

Spencerville 

Spnngboro 

Spnngdale 

Springfield 

Steubenville 

Stow 

Streetsboro 

Strongsville 

Sunbury 

Swanton 

Sylvania 

Sylvania Township 

Tallmadge 

Terrace Park 

Tiffin 

Tipp City 

Toronto 

Trotwood 

Troy 

Twinsburg 

Uhrichsville 

Union City 

Uniontown 

Union Township (Butler County) 

Union Township (Clermont County) 

Union Township (Licking County) 

University Heights 

Upper Arlington 

Upper Sandusky 

Urbana 

Valley View 

Vandaha 



V>.,dsu,,| 



Warrensville Township 
Washington Court Hous 
Washington Township 
Waterville ... 

Wauseon 

Waverly 
Waynesville 
Wellington 
Wellsville 
West Carrollton 
Westerville 
West Jefferson 
Westlake 
Weston 
West Union 
Whitehall 
'ickliffe 
Willard 
Willoughby 
Willoughby Hills 
Wilmington 
Windham 
Woodlawn 
Woodsfield 
Woodville 
Wooster 
Worthington 
Wyoming 
Xenia 
Yellow Springs 

Zanesville 



Afton 
Altus 
Alva 
Anadarko 

Apache 

Ardmore 

Arkoma 

Atoka 

Bamsdall 

Bartlesville 

Beggs 

Bethany 

Bixby 

Blackwell 
Blanchard 

Bristow 

Broken Arrov 
Broken Bow 



Wa 



11.11 



Walbridgc 
Walton Hills 
Wapakoneta 

Warrensville Heights 



s Flat 
Carnegie 
Catoosa 
Chandler 
Checotah 

Chelsea 

Cherokee 

Chickasha 

Choctaw 

Chouteau 

Claremore 

Clayton 

Cleveland 

Chnlon 

Coalgate 

Colhnsville 

Comanche 

Commerce 

Coweta 



■ Number of Full-time Law Enforcement Employees, Cities, October 31, 1986 — Continued 



Total 
police 

employee 



Total 

employees 



OKLAHOMA— Continued 



OKLAHOMA- 



3 
6 


Moore 

Morris 


















9 


Nichols Hills 
Nicoma Park 
Noble 


6 


Nowata 


1 


Okeene 














4 














































Porum 




Poteau 






















4 




4 
3 

3 


Rush Springs 

Sallisaw 
Sand Springs 








Selling 






1 






















Spencer 




Sniro 


j 








. 


Stilwell 




Stratford 




Stroud 










































7 
5 


Village 
Vinita 
Wagoner 
Walters 






31 


Watonga 



Table 77. — Number of Full-time Law Enforcement Employees, Cities 


October 31, 1986 — Continued 








City 


Total 
police 


Total 


Total 

civilians 


City 


Total 
police 

employees 


Total 
officers 


Total 
civilians 


OKLAHOMA— Continued 

Watts 

Waukomis 


21 
14 

28 
2 

10 
6 

30 

44 
3 
1 
29 
22 
2 
3 
1 
16 
6 
61 
41 

12 
9 

17 

5 

16 
6 

35 
10 
10 
74 
21 
1 
15 
1 
2 
6 
6 

231 
14 
23 
2 
1 
2 
19 
5 

37 
64 

3 
20 
45 

2 
10 

2 


19 
21 

33 
3 
1 

20 

15 
2 
3 
1 

11 
5 

52 

32 
4 
7 
5 
1 

12 
4 

1 

11 
5 
1 

26 
6 

42 
13 
1 
14 

2 

5 
4 
4 

141 
8 
17 
2 

2 

12 
5 
1 
27 
46 
3 
15 
39 

8 
8 
2 


2 

5 

7 

1 
2 

9 

5 

3 
9 

9 

7 

5 
1 
9 

5 

5 
1 

5 

9 

32 
8 


OREGON— Continued 


2 
8 
B 

16 
37 
25 
57 
5 
21 
21 
6 
1 
25 
86 
2 
12 
34 
8 
11 
1 
5 
13 
10 
27 
20 
19 

10 
2 
11 
22 
38 
28 
3 
5 
1,032 
3 
2 
16 
6 
20 
17 
3 

42 
20 
195 
9 
7 
21 
1 
3 
5 
10 
5 
74 
3 

10 
11 
14 
2 
17 
35 
8 
11 
9 
13 
2 
8 
2 

4 
3 

4 
18 


2 

5 

15 
29 
16 
39 

5 
16 
16 

5 

20 
59 

2 

7 
23 

7 
10 

1 

8 
6 

18 
17 
15 

16 
24 
20 

745 

15 
12 

32 
128 

52 

10 

15 
28 

12 
15 












Waynoka 






















W k 




















Madras 










McMinnville 
























1 








OREGON 






Mount Angel 




any 


Myrtle Creek 




Amity 


Myrtle Point 




A hi H 






Astoria 


Newport 

North Bend 








II 






Aums 1 e 


Nyssa 




* 






" " 






an on 


Ontario 




ea e on 




1 


jj 




















Butte Falls 


Portland 


28 


r 






Canyonville 


Prineville 

Rainier 




Central Point 










r h 






r°" °r 






_ ... ' 




1 


CI 






II 




b 


_ _ 


Sandy 




C 1 






n n 


2 
90 
6 

7 

10 
18 

5 
6 

2 






D 


Shady Cove 




D d 






Eagle Point 


Sherwood 






Sisters 






: 


F| 8 












Ganbaldi " 


Sutherhn 




G t ii 








Talent 

The Dalles 




























Trouulale 


























Hood River 































able 77. — Number of Full-time Law Enforcement Employees, Cities 


, October 31, 1986 — Continued 








City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 
police 

employees 


Total 
officers 


Total 
civilians 


OREGON— Continued 


1 

11 
32 

1 

103 
2 
3 
2 
2 
4 
17 

178 
100 
12 
14 
5 

2 
5 
2 

15 
6 
2 
7 

18 

5 
1 
9 
1 
3 
4 
29 
5 

5 
3 
3 
2 
8 

18 
6 
5 
1 

12 
2 

17 
1 

76 
2 
1 

6 

16 

36 

150 
16 
3 
5 

2 

: 

6 

6 
4 
15 


3 

7 
21 

162 


1 
11 

16 


PENNSYLVANIA— Continued 


8 

13 
3 
21 

18 
16 

2 
3 

14 
80 
3 
6 
7 
12 
5 
9 
1 

3 

26 
21 
2 

3 

8 

2 
8 

15 
3 
15 
29 
16 

5 

11 
9 
3 
8 

1 
1 

1 
27 
12 

86 
104 

7 
2 
5 
10 
9 

7 
7 
2 
12 

! 

2 
1 
16 
24 
2 
4 


7 

4 
8 
3 
21 

14 
15 
10 
2 
3 
13 
64 
3 
6 
6 
7 
5 
8 

2 
3 

25 

17 

3 

5 

10 
1 
2 
8 
13 
3 

14 
28 
11 
.4 
5 
1 
11 
8 
3 
8 
9 
4 

24 
10 

77 
89 
1 
7 
2 

10 
8 
1 
7 
7 
2 

10 
1 

2 

13 
20 
2 




rtllamina 










5 






amhill 












PENNSYLVANIA 


Brentwood 


* 


bington Township 

dams Township 




. 










Jbion 






Ibui 












liquippa 

llegheny Township (Blair County) 

Jlegheny Township (Westmoreland County) 


Brookhaven 






16 
19 
1 

4 
















mbler 


















nnville Towmhin 














Butler Township (Luzerne County) 

Butler Township (Schuylkil County) 
Caernarvon Township (Berks County) 

Caernarvon Township (Lancaster County) 

California 

Cain Township 
















shley 


3 




1 
2 

1 










Cambridge Springs 
















valon 






vis 






voca 


6 

3 
3 






iden 


Carnegie 














uTy 






















ith 


Cecil Township 

Center Township 

Centerville 

Centra] City 




















lie Acres P 


Chalfont 












Charleroi 








Uwood 








11 

1 
5 
4 
25 

1 

3 








Chester Hill 






















rwick 


Churchill 




ssemer 








Clarks 












Clearfield 












Clifton Heights 
























Coalport 

Coal Township 

Coatesville 








awnox 




oomsburg Town 




ossburg 








Collegeville 





291 



Table 77. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1986 — Continued 



Total 
police 

cmpl<nc<.-s 



PENNSYLVANIA— Continued 

Collier Township 

Collingdale.. 

Columbia 

Colwyn 

Conemaugh Township 

Conewago Township 

Conewango Township 

Confluence 

Connellsville 

Conoy Township 

Conshohocken 

Conyngham 

Convngh.im I ownship 

Conway 

Coolbaugh Township 

Coopersburg 

Coplay 

Coraopohs 

Cornwall 

Coudersport 

Covington Township 

Cowanshannock Township 

Crafton 

Cranberry Township 

Crescent Township 

Cressona 

Cresson Township 

Croyle Township 

Cumberland Township (Adams County) 

Cumberland Township (Green County) 

Cumru Township 

Curwensville 

Dallas 

Dallas Township 

Dalton 

Danville 

Darby 

Darby Township 

Daugherty Township 

Dawson 

Delaware Water Gap 

Derry Township (Dauphin County) 
Derry Township (Mifflin County) 
Dickson City 

Dillsburg 

Donegal Township 
Donora 

Dormont 

Douglass Township (Berks County) 

Douglass Township (Montgomery County) 

Downingtown 

Doylestown 

Doylestown Township 

Du Bois 

Duboistown 

Dunbar 

Duncannon 

Duncansville 

Dun more 

Dupont 

Duquesne 

Duryea 

East Berlin 

East Bethlehem Township 

East Brandywine Township 

East Buffalo Township 

East Conemaugh 

East Deer Township 

East Earl Township 

East Franklin Township 

East Hempfield Township 



PENNSYLVANIA— Continued 

EasI Lampeter Township 

East Lansdowne 

East McKeesport 

East Nornton Township 

East Pennsboro Township 

East Pikeland Township 

East Rochester 

East Rockhill Township 

East Stroudsburg 

East Taylor Township 

Easttown Township 

East Washington 

East Whiteland Township 

Ebensburg 

Economy 

Eddystone 

Edgewood 

Edgeworth 

Edinboro 

Edwardsville 

Elizabeth 

Elizabeth town 

Elizabeth Township 

Ehzabethville 

Elkland 

Ellwood City 



Emporium 

Emsworth 

Ephrata 

hphr.ii. i Township 

Erie 



Everett 

Everson 

Exeter 

Exeter Township (Berks County) 

Exeter Township (Luzerne County) 

Fairchance 

Fairview Township 

Fallowfield Township 

Falls Creek 

Falls Township 

Farrell 

Fawn Township 

Fayette City 

Ferguson Township 

Ferndale 

Findlay Township 

Fleetwood 

Folcroft 

Ford City 

Forest City 

Forest Hills 

Forks Township 

Forty Fort 

Forward Township 

Foster Township 






II. I 



Fox Chapel 

Frackville 

Franconta Township 

Franklin (Cambria County) 

Franklin (Venango County) 

Franklin Park 

Franklin Township 

Freedom-Greenfield Township 

Freeland 

Freemansburg 

Galeton 

Galhtzin 

Gallitzin Township 



292 



fable 77. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1986 — Continued 

T ° lal Total Total | 

P°, hce officers civilians Clty P , h< 

employees employees 



PKNNSYLVANIA— Continued 



I'KNNS^ l\ AM A— Continued 



Kittanning 

ine Township 

ulpmont 
Kutztown 
Lake City 
Lake Township 
Lancaster 
Lansdale 
Lansdowne 
Lansford 
Larksville 
Latrobe 
Laureldale 
Lawrence Park Township 

rence Township 
Lebanon 
Leechburg 
Leetsdale 
Leet Township 

Lehigh Township 

nan Township 
Lemoyne 
Lewisburg 
Lewi st own 

Ligonier Township 
Lilly 

Limenck Township 
sville 

Littlestown 

Lock Haven 

Logan Township 

Loretto 

Lower Allen Township 

Lower Alsace Township 

Lower Burrell 

Lower Chichester Township 

Lower Gwynedd Township 

Lower Makefield Township 

Lower Menon Township 

Lower Moreland Township 

Lower Paxton Township 

Lower Pottsgrove Township 
Lower Providence Township 
Lower Salford Township 
Lower Saucon Township 
Lower Southampton 
Lower Swatara Township 
Lower Yoder Township 

Luzerne Township 

Mahanoy City 

Mahoning Township (Carbon County) 

Mahoning Township (Montour County) 

Maivern 

Manheim 

Manor 

Manor Township 

Mansfield 

:us Hook 
Marietta 

Marlborough Township 
Marple Township 

Martinsburg 

Marysville 

Mason town 

Matamoras 

Mayfield 

McAdoo 

McCandless 



Table 77. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1986 — Continued 

Total 
police 



PENNSYLVANIA— Continued 

McConnellsburg 

McDonald 

McKeesport 

McKees Rocks 

McSherrystown 

Meadville 

Mechanicsburg 

Mechanicsville 

Media 

Menallen Township 

Mercersburg 

Meyersdale 

Middlesex Township (Butler County) 
Middlesex Township (Cumberland County) 

Middletown 

Middletown Township 

Midland 
M.fllin 

Mifftinburg 

Mifflintown 

Milford 

Millbourne 

Millcreek Township 

Millersburg 

Millersville 

Millvale 

Millville 

Milton 

Minersville 

Mohnton 

Monaca 

Monessen 

Monongahela 

Monroeville 

Montgomery Township 

Montoursville 
Montour Township 
Montrose 
Moon Township 
Moore Township 
Moosic 

Morrisville 

Morton 

Moscow 

Mountaintop Regional 

Mount Carmel 

Mount Carmel Township 

Mount Holly Springs 

Mount Jewett 

Mount Joy 

Mount Joy Township 
Mount Lebanon 

Mount Oliver 

Mount Penn 

Mount Pleasant 

Mount Pocono 

Mount Union 

Muhlenberg Township 

Muncy 

Munhall 

Murrysville 

Myerstown 

Nanticoke . 

Nanty Glo 
Narberth 
Nazareth Area 

Nescopeck 

Neshannock Township 

Nesquchonmg 

Nether Providence Township 

Neville Township 

Newberry Township 

New Bethlehem 

New Brighton 



PENNSYLVANIA— Continued 

New Britain 

Britain Township 

Castle 
New Castle Township 
New Cumberland 

Eagle 

Freedom 
New Hanover Township 
New Holland 

New Hope 

New Kensington 

New Oxford 

Newport 

Newport Township 

New Sewickley Township 

Newton Township 

Newtown 

Newtown Township 

Newville 

Wilmington 

thampton 
Northampton Township 
North Belle Vernon 
North Braddock 
North Catasaqua 
North Centre Township 
North Charleroi 
North Codorus Township 
North Cornwall Township 
North Coventry Township 
North East 
Northeastern Regional 
Northern York Regional 
North Fayette Township 
North Franklin Township 
North Huntingdon Township 
North Lebanon Township 
North Londonderry Township 
North Middleton Township 
North Strabane Township 
Northumberland 
North Versailles Township 
North Wales 
Norwegian Township 
Norwood 
Oakdale 
Oakmont 
O'Hara Township 

Township 
Ohioville 
Oil City 
Old Forge 

Old Lycoming Township 
Oley Township 
Olyphant 

ange Township 
Orwigsburg 
Osceola Mills 
Oxford 
Palmerton 

ler Township 

Parkside 
Patterson 
Patton 

Paxtang 

Pen Argyl 
Penbrook 

i Hills 

Penn Township (Butler County) 
Penn Township (Lancaster County) 
Penn Township (Westmoreland County) 
Penn Township (York County) 



able 77. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1986 — Continued 



Total 

police 

employees 



Total 
police 

employees 



PENNSYLVANIA— Continued 



'equea Township 

'erryopolis 
'eters Township 
'hiladelphia 

'hilipsburg 

'hoenixville 

'ine Creek Township 

ine Grove 

ine Township 



ittsburgh 



lainfield 

lains Township 

leasant Hills 

lum 

lumstead Township 
lymouth 

lymouth Township 
ocono Township 

oint Manon 

oint Township 

ortage 

ort Allegany 

ort Carbon 

ort Vue 

ottstown 

bttsville 

rospect Park 

Unxsutawney 

ymatuning Township 

taakertown 

.adnoi Township 

.alpho Township 

.edstone Township 

;eserve Township 

.eynoldsville 

ichland 

ichland Township (Allegheny County) 
ichland Township (Cambna County) 
idgway 

idley Park 

idley Township 

iverside 

.oaring Brook Township 

oaring Spnng 

.obeson Township 

.obesonia- Heidelberg 

.obinson Township 

.ochester 

.ochester Township 
.ockledge 
.osslyn Farms 

.oss Township 

.ostraver 

.oulette Township 

.oyalton 

.oyersford 
.ye Township 

aegertown 

aim Clair 

aint Clair Township 

aint Marys 

alisbury Township 

altsburg 
andy Lake 

andy Township 

axonburg 



PENNSYLVANIA— Continued 

Schuylkill Township 

Scottdale 

Scott Township (Allegheny County) 

Scott Township (Columbia County) 

Scott Township (Lackawanna County) 

Scranton 

Sellersville 

Sewickley . . 
Sewickley Heights 
Shaler Township 

Shamokin 

Shamokin Dam 

Sharon 

Sharon Hill... 

Sharpsburg 

Sharpsville 

Sheffield Township 

Shenandoah 

Shenango Township (Lawrence County) 

Shenango Township (Mercer County) 

Shewsbury 

Shickshinny 

Shillington 

Shinglehouse 

Shippensburg 

Shiremanstown 

Silver Spring Township 

Sinking Spring 

Slatington 

Slippery Rock 

Smethport 

Smithfield .... 

Smith Township 

Snow Shoe 

Snyder Township 
Solebury Township 
Somerset 

Souderton 

South Abmgton Township 

South Beaver Township 

South Centre Township 

South Coatesville 

South Connellsville 

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 Count 

Spring Garden Township 

Spnng Township (Berks County) 

Spring Township (Centre County) 

State College 
Steelton 

Stoneboro 

Stoneycreek Township 

Stowe Township 
Stroudsburg 

Stroud Township 

Sugarcreek 

Sugarloaf Township 



295 



Table 77. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1986 — Continued 



Total 

police 

employees 



PENNSYLVANIA— Continued 



Township 
Summit Hill 

Susquehanna 

Susquehanna Township (Cambria County) 
Susquehanna Township (Dauphin County) 
Swarthmore 

Swatara Township 

Swissvale 

Swoyersville 

Sykesville 

Tamaqua 

Tarentum 

Taylor 

Telford 

Temple 

Terre Hill 

Thornbury Township 

Throop 

Tidioute 

Tinicum Township (Bucks County) 

Tinicum Township (Delaware County) 

Titusville 

Tobyhanna Township 

Topton 

Towamencin Township 

Towanda 

Trafford 

Trainer 

Tredyffnn Township 

Troy 

Tullytown 

Tunkhannock 

Tunkhannock Township 

Turtle Creek 

Tyrone 

Union City 

Uniontown 

Union Township (Mifflin County) 

Union Township (Washington County) 



Upper Allen Township 

Upper Chichester Township 

Upper Darby Township 

Upper Dublin Township 

Upper Gwynedd Township 

Upper Makefield Township 

Upper Merion Township 

Upper Moreland Township 

Upper Mount Bethel Township 

Upper Nazareth Township 

Upper Perkiomen 

Upper Pottsgrove Township 

Upper Providence Township (Delaware County) 
Upper Providence Township (Montgomery 

County) 

Upper Saint Clair Township 

Upper Saucon Township 

Upper Southhampton Township 

Upper Uwchlan Township 

Upper Yoder Township 

Uwchlan Township 

Valley Township 

Vandergrift 

Vanport Township 

Verona 

Versailles 

Vintondale... . 

Walnutport .... . 

Warminster Township 

Warren 

Warrington Township 

Warwick Township (Bucks County) 
Warwick Township (Lancaster County) 

Washington. 

Washington Township (Fayette County) 



PENNSYLVANIA— Continued 

Washington Township (Franklin County) 
Washington Township (Northampton County) 

Watsontown 

Waynesboro 

Waynesburg 

Weatherly 

Wellsboro 

Werners\ille 

Wesleyville 

West Brandywine Township 

West Chester 

West Conshohocken 

West Deer Township 

West Donegal Township 

West Earl Township 

West Fairview 

Westfall Township 

Westfield 

West Goshen Township 

West Grove 

West Hazleton 

West Hempfield Township 

West Hills Regional 

West Homestead 

West Lampeter Township 

West Lawn 

West Manchester Township 

West Manheim Township 

West Middlesex 

West Mifflin 

West Newton 

West Nornton Township 

West Pittston 

West Pottsgrove Township 

West Reading 

West Rockhill Township 

Westtown Township 

West View 

West Whiteland Township 

West Wyoming 

West York 

Wheatland 

Whitaker 

Whitehall 

Whitehall Township 

White Haven 

Whitemarsh Township 
White Oak 

Whitpain Township 

Wiconisco Township 

Wilkes-Barre 

Wilkes-Barre Township 

Wilkinsburg 

Wilkins Township 

Williamsburg 

Williamsport 

Williamstown 

Willistown Township 

Wilson 

Windber 

Wind Gap 

Windsor Township 

Womelsdorf 

Wormleysburg 

Wrightsville 

Wrighttown Township 

Wyoming 

Wyomissing 

Wyomissing Hills 

Yardley 

Yeadon 

York 

York Springs - Latimore 

York Township 



rable 77. — Number of Full-time Law Enforcement Employees, Cities 


, October 31, 1986 — Continued 








City 


Total 
police 


Total 
officers 


Total 
civilians 


City 


Total 
employees 


Total 
officers 


Total 
civilians 


PENNSYLVANIA— Continued 

foungsville 


2 
6 

29 
39 
19 
36 
16 
53 

163 
49 
33 

113 
10 
8 
12 
13 
61 
34 
8 
35 
34 
99 
3 
53 
62 
20 

170 
26 

479 
18 
39 
56 
26 
19 

208 
35 
7 
50 

108 

17 
78 
il 
79 

6 
10 

13 
38 
18 
27 
2 
15 
9 
7 
6 
27 
45 
4 
330 
25 

19 
7 
25 
27 
11 


2 
6 

22 

32 

15 

34 

12 

45 

138 

43 

30 

91 

7 

5 

8 

11 

49 

31 

7 

33 

28 

79 

3 

43 

48 

15 

143 

24 

396 

15 

32 

41 

18 

17 

168 

31 

44 

13 
65 

59 
10 
3 
6 
7 
10 

30 
14 
21 

2 

5 
6 
6 
27 
34 

236 
20 

17 
6 

20 

25 
8 


7 
7 

8 

6 

3 
22 
3 
3 
4 
2 
12 
3 

2 

20 

10 
14 

5 
27 

2 
83 

3 

7 
15 

8 

2 
40 

4 

6 
10 

13 
20 

3 

8 
6 


SOUTH CAROLINA— Continued 

Columbia 


274 
36 

4 
30 

9 
20 
27 

9 

8 
3 

85 
13 
25 
15 
16 
29 

39 
30 
3 
8 
180 
52 
37 
9 
22 
10 
33 

6 
9 

14 
5 
9 

14 
5 
3 
8 
9 
3 
9 

19 

21 
5 

39 
7 
10 
24 
5 
8 
9 
11 
3 
13 
24 
21 
2 
7 
6 
16 
52 
18 
97 
24 

10 
43 
166 
59 
41 
3 
12 


210 
26 

4 
22 

7 
15 
21 

6 

4 
2 
5 
69 
9 
18 
10 
11 
21 
1 
31 
22 
2 

148 
40 
31 
8 
17 
6 
26 
1 
5 
6 
10 
5 
9 

3 

6 
3 

5 
13 
16 

3 

31 
7 
6 

23 
5 
8 
6 

3 

12 
18 
16 
2 
5 

12 
39 
14 
91 
20 

6 

36 
119 
45 
32 
3 
9 


64 
10 






RHODE ISLAND 




8 

2 




larrington 




Easlcv 






Edgefield 

Elloree 










Estill 
















Cumberland 


Florence 


16 








"oster 


Fori Mill 




jlocester 








































tarragansett 

Newport 














forth Kingstown 










































Honea Path 




outh Kingstown 
















Warwick 


































4 
6 


SOUTH CAROLINA 


Kingstree 


11 


Lakeview 


2 


iken 












8 


Landrum 














Laurens 






1 





Leesvtlle 




, 


Lexington 




amwell 
atesburg 
eaufon 
















, 








6 






ethune 




McBee 
McColl 










2 








Moncks Comer 








amd^n * % 


Mount Pleasant 


13 




11 

94 
5 

2 
1 
5 
2 
3 




4 




Myrtle Beach 




6 






4 


New Ellenton 






hesnee 














North Charleston 






47 








Orangeburg 






9 


^ 


Pacolet 






Pageland 


3 



Table 77. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1986 — Continued 



Total 
police 

rmplnvivs 



SOUTH CAROLINA— Continued 



Port Royal 

Prosperity 

Ridgeland 

Ridge Springs 

Ridgeway 

Rock Hill 

Saint George 

Saint Matthews 

Saint Stephens 

Salem 

Saluda 

Santee 

Seneca 

Simpsonville 

South Congaree 

Spartanburg 

Springdale 

Sullivans Island 

Summerton 



Sumter 

Surfside Beach 

Swansea 

Tega Cay 

Timmonsville 

Travelers Rest 

Turbevillc 

Union 

Varnville 

Wagener 

Walhalla 

Walterboro 

Ware Shoals 

West Columbia 

Westminster 

Whitmire 

Williamston 

Williston 

Winnsboro 

Woodruff 

York.. 



SOUTH DAKOTA 



Aberdeen 

Belle Fourcl 

Brookings 

Chamberlain 

Deadwood 

Fort Pierre 

Huron 

Lead 

Madison 

Milbank 

Mitchell 

Mobridge 

Pierre 

Rapid City 

Redfield 

Sioux Falls 

Spearfish 

Sturgis 

Vermillion 

Watertown 

Yankton 



Adamsville 

Alcoa 

Ardmore ... 



TENNESSEE 



TENNESSEE— Continued 



Brentwood 

Bristol 

Brownsville 

Bruceton 

Camden 

Carthage 

Centerville 

Chattanooga 

Church Hill 

Clarksville 

Cleveland 

Collegedale 

Collierville 

Collinwood 

Columbia 

Cookeville 

Cowan 

Crossville 

Cumberland Gap 

Dandndge 

Dayton 

Decherd 

Dresden 

Dyer 

Dyersburg 

East Ridge 

Elkton 
Englewood 
Estill Springs 
Fairview 
Fayetteville 
Franklin . 
Friendsville 
Gallatin 

Gatlmburg 

Germantown 

Gleason 

Goodlettsville 

Grand Junction 

Greeneville 

Halls 

Harriman 

Hartsville 

Hendersonville 

Hohenwald 

Humboldt 

Huntland . 

Huntingdon 

Jackson 

Jasper 

Jefferson City . 



Jelhco 
Johnson City 

Jonesboro 

Kenton 

Kimball 

Kingsport 

Knoxville 

Lafayette 

La Follette 
Lake City 
La Vergne 
Lawrenceburg 

Lexington 

Livingslon 

Lookout Mountain 

Loretto 

Martin 

Maryville 



able 77. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1986 — Continued 

T f ' I Total I Total II 

P°' ce officers civilians °» ?° * 

mployees employees 



TENNESSEE— Continued 



TEXAS— Continued 



Amanllo 
Andrews 
Angleton 



Arlington 

Atlanta 

Austin 

Azle 

fialch Spnngs 

Balcones Heights 

Ballinger 

Bastrop 

City 
Bay town 
Beaumont 
Bedford 
Beeville 
Bellaire 
Bellmead 
Bellville 
Belton 
Benbrook 
Berryville 
Bertram 
Beverly Hills 
Big Sandy 

Spring 
Bishop 
Blanco 



Bonham 

Brady 
Brazoria 
Brecken ridge 
Brenham 
Bridge City 
Bridgeport 
Brookshire 
Brownfield 
/nsville 
■nwood 



jrleson 

Caldwell 

Cameron 

Canadian 

Caney City 

Canton 

Canyon 

Carmine 

izo Spnngs 
Carrollton 
Carthage 
Castle Hills 
Cedar Hill 
Cedar Park 
Center 
Childress 

Clarksville 

Cleburne 

Cleveland 

Clifton 

Clute 

Cockrell Hill 

Coleman 



299 



Table 77. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1986 — Continued 



Total 
police 



Total 



I I \ AS— Continued 



TEXAS— Continued 



College Station 

Colleyville 

Colorado City 

Columbus 

Comanche 

Combes 

Commerce 

Converse 

Conroe 

Coppell 

Copperas Cove 
Corinth 
Corpus Chnsti 

Corsicana 

Crockett 
Crowley 
Crystal Beach 
Crystal City 

Daingerfield 

Dalhart 

Dallas 

Dalworthington 

Dayton 

Decatur 

Deer Park 

De Kalb 

Del Rio 

Denison 

Denton 

Denver City 

DeSoto 

Diboll 
Dickinson 
Dilley 
Dimmitt 



Dumas 

Duncanville 

Eagle Lake 

Eagle Pass 

Early 

Eastland 

Edcouch 

Edinburg 

Edna 

El Campo 

Electra 

Elgin 

El Lago 

El Paso 

Elsa 

Everman 
Fairfield 
Falfurnas 
Fanners Branch 
Farmersville 

Floresville 
Flower Mound 
Forest Mill 

Fort Stockton 
Fort Worth 
Frankston 
Fredericksburg 
Freeport 

Friendswood 



Fnona 

Gainesville 

Galena Park 

Galveston 

Garland 

Gatesville 

Georgetown 

Giddings 

Gladewater 

Gorman 
Graham 

Grand Prairie 
and Saline 
apevine 

Greenville 

Gregory 

Barrel City 
Hallettsville 
Haltom City 
Hamlin 

Harker Heights 
Harlingen 
Hawkins 
Hearne 

Hedwig Village 
Hempstead 

Hereford 

Hewitt 

Hico 

Hidalgo 

Highland Park 

Highland Village 

Hill Country 

Hillsboro 

Hitchcock 

Hollywood Park 

Hondo 

Hooks 

Houston 

Humble 



Hurst 
Hutchins 

Ingleside 
Iowa Park 

Jacinto City 
Jacksboro 
Jacksonville 
Jamaica Beach 

Jefferson 
Jersey Village 

s Creek 
Jonestown 

Jourdantown 

Katy 

Kaufman 

Keller 

Kemp 

Kennedale 

Kermit 

Kerrville 

Kilgore 



able 77. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1986 — Continued 

T ° ,al I Total I Total II 

po , l,ce officers civilians Clty P '" 

employees employees 



TEXAS — Continued 



TEXAS — Continued 



Naples 

Nassau Bay 

Navasota 

Nederland 
Needville 
New Boston 
New Braunfels 

Nolannlle 

Northcrest 

North Richland Hil 

Oak Ridge North 

Odessa 

Olmos Park 

Olney 

Olton 

Onalaska 

Orange Grove 

Ore City 

Overton 

Oyster Creek 

Palacios 

Palestine 

Pantego 

Pans 

Pasadena 

Patton Village 

Pearland 

Pearsall 

Pecos 

Perryton 

Pflugerville 

Pharr 

Pilot Point 

Pittsburg 

Plainview 

Piano 

Pleasanton 
Port Aransas 
Port Arthur 

Port Isabel 

Portland 

Port Lavaca 

Port Neches 
Poteet 
Premont 
Princeton 

Quanah 

Quinlan 
Quitman 

Ransom Canyon 

Raymondville 
Red Oak 
Refugio 

Richardson 

Richland Hills 

Richmond 

Richwood 

River Oaks 

Robinson 

Robstown 

Rockdale 

Rockport 

Rockwall 

Rollingwood 

Roscoe 
Rose City 
Rosenberg 
Round Rock 

Rowlett 



301 



Table 77. — Number of Full-time Law Enforcement Employees, Cities, 


October 31, 1986 — Continued 








City 


Total 

police 

employees 


Total 


Total 


City 


Total 

employees 


Total 
officers 


Total 
civilians 


TEXAS— Continued 


6 
8 
2 
11 
20 
167 
1,982 
4 
32 
20 
60 
11 
16 
18 
20 
2 
16 

47 

10 
11 
2 
8 
2 
b 
63 
19 
8 
14 

22 
3 

33 
23 
23 
17 

9 

8 
23 

3 
33 

6 

5 
30 

2 
36 
31 

2 
10 

5 
24 

7 
3 
21 
5 
6 
120 
28 
15 
80 
64 
28 
22 
7 

3 

162 
32 
41 
24 


6 

7 
2 
7 
13 
134 
1,637 

26 
14 
45 
7 
11 
12 
17 
2 

10 
1 

11 
31 
7 

10 
5 
2 
4 
2 
6 
48 
14 
7 
8 
5 
16 
2 
3 

26 
18 
17 
14 

18 
2 

23 
6 

26 
2 

28 

25 
2 
9 
5 

20 

7 
1 
15 
5 
5 
96 
21 
14 
72 
55 
19 
18 
3 
5 
2 
127 
25 
32 
18 


1 

33 
345 

6 

6 
15 

5 
6 
3 

6 

15 

5 

6 
3 
6 
1 

1 

7 
5 
6 
3 
5 
4 
5 
1 
10 

4 
8 

1 

2 

1 

24 

1 
8 

9 
4 

4 
1 

35 
7 

6 


TEXAS — Continued 


5 

21 
119 
26 
28 
227 

5 
11 

4 
30 
39 
38 
26 

4 
45 

12 
14 

8 
13 

7 
27 

6 
16 

14 
9 

28 

160 

6 

14 

17 

2 

7 
18 
19 
13 

5 

3 
19 
2 

37 
33 
15 

25 
6 
9 

3 
3 

5 

2 

7 

5 

3 
10 
36 
10 
41 

3 

3 
25 

2 


17 
79 
18 

24 

5 

3 
24 
31 
27 
21 

2 
34 

4 

8 
13 

13 

21 

14 
7 

10 
5 

21 

110 

5 

8 

12 
6 

6 
13 
13 

3 

3 

16 
2 
4 
29 
26 
14 
8 
18 
5 
8 
5 
3 
3 

2 
3 

5 
5 

2 
3 
9 

29 

34 
3 

19 
2 


1 






4 


Sh 




40 








? lchse 




4 


Saginaw 




66 


San Ange o 






San Antonio 




5 




Wallis 


1 




6 


n 




8 


P k V 11 




11 


ansoni ar g 




5 






2 


S h Z V 




11 


Seadrift 

Seagoville 












1 


Sealy 




2 


Westover Hills 

West Tawakoni 

West University Place 

Westworth 




Selma 


3 
6 


Seven Points 


2 


. II 




2 


a owa er 




2 


p , 




4 


Sh d h 




4 


enan oa 




7 






50 


„ 




1 






6 


„ . . .. 




5 






5 


* 






S 11 






_ 




1 






5 






6 






5 


Southside Place 




2 


UTAH 




SDrins 




Spnng Valley 






Ani-n :an Fork 


3 




Beaver 

Blanding 

Bountiful . 

Bngham City 
Cedar City 




















S 1 h S 












Clinton 
Delta 




Sweenv 










F t C b 












. 






II 












H II 




TemDle 




2 




H 1 






.. 






„ 






K b 






K s lie 






. 


( 




1 h 




Logan 


Tye 




M 1 




1 




Milford 


Uvalde 



fable 77. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1986 — Continued 



Total 
police 

cmplintvs 



Total 

police 

employees 



UTAH— Continued 



Monticello 

Mount Pleasant 
Murray 

Naples 

Nephi 

North Ogden 
North Salt Lake 
Ogden 

Park City 

Parowan 

Payson 
Pleasant Grove 

Pleasant View 

Price 

Provo 

Richfield 

Riverdale 

Roosevelt 

Roy 

Saint George 

Salem 

Salina 

Salt Lake City 

Sandy 

Santaquin City 

South Jordan 

South Ogden 

South Salt Lake 

Spanish Fork 

Springville 

Sunset 

Syracuse 

Tooele 

Tremonton 

Vernal 

Washington 

Washington Terrace 

Wendover 

West Bountiful 

West Jordan 

West Valley 

Woods Cross 



Barre 

Bellows Falls 

Brandon 

Brattleboro 

Burlington 

Chester 

Colchester 

Fair Haven 

Hartford 

Manchester 

Milton 

Montpelier 

Morristown 

Newport 

Northfield 

Norwich 

Randolph 

Richmond 

Saint Albans 

Saint Johnsbury 

Springfield 

Vergennes 

Waterbury 

Weathersfield 



VERMONT— Continued 




Abingdon 

Alexandria 

Altavista 

Amherst 

Appalachia 
Appomattox 
Arlington 

Ashland 

Bedford 

Berryville 

Big Stone Gap 

Blacksburg 

Blackstone 

Bluefield 

Bowling Green 

Bridgewater 

Bristol 

Brookneal 

Buchanan 

Buena V 

Burkeville 

Cape Charles 

Cedar 

Charlottesville 

Chase City 

Chatham 

Chesapeake 

Chilhowie 

Chincoteague 

Christiansburg 

Clarksville 

Clifton Forge 

twood 
Coeburn 
Colonial Beach 
Colonial Height: 
Courtland 
Covington 

Crewe 

Culpeper 

Damascus 

Danville 

Dayton 

Dublin 

Dumfries 

Edinburg 

Elktoi 

Empo 

Fairfax 

Falls Church 

Farmville 

Franklin 

Fredericksburg 

Fries 

Front Royal 

Gate City 

Glade Spring 

Glen Lyn 

Gordonsville 

Gretna 

Grundy 

Halifax 



ubuii] 



Herndon 
Hillsvillc 



Table 77. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1986— Continued 



Total 

employees 



VIRGINIA— Continued 



Honaker 

Hopewell 

Hurt 

Independence 

Iron Gate 

Jonesville 

Kenbridge 

Kilmarnock 

Lawrenceville 

Lebanon 

Leesburg 

Lynchburg 

Manassas 

Manassas Park 

Marion 

Martinsville 

McKenny 

Middleburg 

Middletown 

Mount Jackson 

Narrows 

New Market 
Newport News 

Norfolk 

Norton 

Onancock 

Onley 

Orange 

Parksley 

Pearisburg 

Pembroke 

Pennington Gap 

Petersburg 

Pocahontas 

Poquoson 

Portsmouth 

Pound 

Pulaski 

Purcellville 

Quantico 

Radford 

Rich Creek 

Richlands .... 

Richmond 

Roanoke 

Rocky Mount 

Rural Retreat 

Saint Paul 

Salem 

Saltville 

Shenandoah 

Smithfield 

South Boston 

South Hill 

Staunton 

Stephens City 

Strasburg 

Suffolk 

Tappahannock 

Tazewell 

Urbanna 

Victoria 

Vienna 

Virginia Beach 

Warrenton 

Warsaw 

Waverly 

Waynesboro 
Weber City 
Williamsburg 



VIRGINIA— Continued 



WASHINGTON 

Aberdeen 
Algona . 
Anacortes 
Arlington 
Auburn 
Battle Ground 
Bellevue 
Rellingham 
Benton City 
Black Diamond 

Bonney Lake 

Bothell 

Bremerton 

Buckley 

Burhnglon 

Castle Rock 

Centralia 

Chehahs 

Chewelah 

Clarkston 

Cle Elum 

Clyde Hill 

College Place 

Colville 

Colville Tribal 

Connell .... 

Cosmopohs 

Coulee Dam 

Dayton 

Des Moines 

East Wenatchee 

Eatonville 

Edmonds 

Ellensburg 




Table 77. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1986— Continued 



Total 
police 



Total 

employees 



\\ VM 1 1 NGTON— Continued 



\WNI VIRGINIA 



WEST VIRGIMA- 



Barboursville 

Bayard 

Beckley 

Belington 

Belle 

Benwood 

Berkeley Springs 

Bethlehem 

Bluefield 

Bradshaw 

Bramwell 



Buckhannon 

Burnsville 

Camden on Gauley 

Cameron 

Cedar Grove 

Ceredo 

Chapmanville 

Charleston 
Charles Town 
Chesapeake 
Chester 
Clarksburg 



Delbarton 

East Bank 
Eleanor 

Elkins 

Fairmont 

Fairview 

Farmington 

Fayetteville 

Follansbee 

Fort Gay 

Franklin 

Gassaway 

Gauley Bndj 

Gilbert 

Glasgow 

Glen Dale 

Glenville 

Grafton 



Handley 
Harpers Ferry-1 



Hundred 
Huntington 



Keyser 

Keystone 
Kimball ... 
Kingwood 

Lester 

Lewisburg 

Lumberport 

Mabscott 

Madison 

Man 

Mannington 



Table 77. — Number of Full-time Law Enforcemen 


Employees, Cities 


October 31, 1986— Continued 








City 


Total 
employees 


Total 
officers 


Total 


City 


Total 

police 

employees 


Total 


Total 
civilians 


WEST VIRGINIA— Continued 








WEST VIRGINIA— Continued 








Marlinton 


2 


1 


1 


Wheeling 


89 


81 


8 




4 


4 




Whitesville 


4 


4 




Marmel 




Marlinsburg 


32 


26 


6 


White Sulphur Spnngs 


6 


6 




Mason 


5 


3 


2 


Williamson 


14 


9 


5 


Masontown 


1 


1 




Williamstown 


6 


5 


1 


Matewan 


3 


3 












Maloaka 


2 


1 


1 


WISCONSIN 








McMechen 


4 


4 












Middlebourne 


1 


1 




Adams 


3 


3 




Milton 


4 


3 


1 


Algoma 


4 


4 




Monongah 


! 


1 




Altoona 


8 


7 


1 


Montgomery 


16 


11 


5 


Appleton 


118 


87 


31 


Moorefield 


4 


4 




Ashland 


19 


18 


1 


Morgantown 


59 


48 


11 


Ashwaubenon 


32 


28 


4 


Moundsville 


21 


18 


3 


Baraboo 


19 


18 


1 


Mount Hope 

Mullens 


4 








15 


14 


1 


7 


7 




Beaver Dam 


34 


30 


4 




2 


2 






80 


62 


18 


New Martinsville 


15 


10 


5 


Beloit Town 


10 


9 


1 


Nitro 


9 


9 




Berlin 


15 


12 


3 


Northfork 


4 


4 




Black River Falls 


8 


8 




Nutter Fort 


6 


6 




Bloomer 


s 


7 


1 


Oak Hill 


12 


7 


5 


Brillion 


5 


5 




Oceana 


4 


4 




Brodhead 


10 


6 


4 


Paden City 


B 


4 


4 


Brookfield 


71 


57 


14 


Parkersburg 


74 


60 


14 


Brown Deer 


31 


24 


7 






2 








22 




Paw Paw 


1 


1 




Burlington Town 


5 


5 




Pax 


1 


1 




R tl 


9 


8 


1 




j 


1 




C 1 d 


23 


18 


5 


Petersburg 


5 


4 


1 


Cedarburg 


24 




8 


Philippi 


6 


6 




Chenequa 


7 


7 




Piedmont 


3 


3 




Chilton 


6 


6 




Pine Grove 


1 


1 




Chippewa Falls 


35 


25 


10 


Pineville 




4 




Clintonville 


12 


11 


1 




1 


1 






4 


4 




Point Pleasant 


10 


9 


1 


Crandon 


3 


2 


1 


Pratt 


1 


1 




Cuba City 


3 


3 




Princeton 


23 


18 


5 


Cudahy 


36 


34 


2 


Rainelle 


3 


3 




Darlington 


4 


4 






Ranson 

Ravenswood 


6 


6 




De Forest 
Delafield 




4 




11 


7 


4 


9 


8 


1 


Richwood 


9 


5 


4 


Delavan 


17 


16 


1 


Ridgeley 


1 


1 




Delavan Town 


7 


7 




Ripley 


8 


7 


1 


De Pere 


30 


25 


5 


Romney 


3 


3 




Dodgeville 


7 


7 






2 


2 




Durand 
East Troy 




3 




Saint Albans 


26 




7 


8 


6 


2 


Saint Marys 

Salem 


7 




3 




7 




1 


5 
5 


5 


■' 


Eau Claire 


9 


85 
8 


26 


Shepherdstown 

Shinnston 




1 


5 


5 




Elm Grove . 


20 


16 


4 


Sistersville 


4 


4 




Elroy 


2 


2 




Smithers 


3 


3 




Evansville 


8 


5 


3 


Sophia 


4 


4 




Fitchburg 


23 


17 


6 


South Charleston 


29 


23 


6 


Fond du Lac 


72 


62 


10 


Spencer 

Star City 

Stonewood 


11 


7 




Fort Atkinson 


20 


15 


5 


6 


6 




Fox Point 


22 


17 


5 


2 
8 
4 


2 

8 






26 

45 


20 
35 
18 


6 


Summersville 


Glendale 


10 


Sutton 


Grafton 


6 


Terra Alta 


2 


2 




Green Bay 


200 


162 


38 


Valley Grove 


1 


1 




Greendale 


31 


25 


6 


Vienna 


20 


13 


7 


Greenfield 


64 


48 


16 


War 


3 


3 




Hales Corners 


17 


14 


3 


Wardensville 


1 


1 




Hallie Town 


5 


5 




Wayne 


1 


1 




Hartfoid 


20 


15 


5 


Webster Spnngs 


i 


4 




Hartland 


11 


10 


1 


Wetrton 


47 


41 


6 


Holmen 


5 


5 




Welch 


13 


9 


4 


Honcon 


6 


5 


1 


Wellsburg 


8 


7 


1 


Hudson 


13 


11 


2 


West Milford 


1 


1 




Janesville 


94 


72 


22 


Weston 


14 


10 




Jefferson 


12 


11 


1 


Westover 


10 




4 


Kaukauna 


20 


19 


1 


West Union 


1 















Table 77. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1986— Continued 



Total 
employees 



Total 

employe* 



WISCONSIN— Continued 



WISCONSIN— Continued 



SlK'tnAgun 

Shorewood 
Shorewood Hills 
South Milwaukee 

ens Point 
Stoughton 
Sturgeon Bay 
Sturtevant 
Summit 
Thiensville 
Tomah 
Tomahawk 
Twin Lakes 

Viroqua 

Washburn 
Waterloo 
Watertown 

Waukesha 

Waunakee 

Waupaca 
Waupun 
Wausau 
Wauwalosa 
West Alhs 
West Bend 
West Milwaukee 
Weston 
West Salem 
Whitefish Bay 
Whitewater 
Wisconsin Dells 
Wisconsin Rapids 

WYOMING 

Afton 

Baggs 

Basin 

Buffalo 

Casper 

Cheyenne 

Cody 

Cokeville 

Diamondville 

Douglas 

Encampment 

Evanston 

Evansville 

Gillette 

Glenrock 

Green River 

Greybull 

Guernsey 

Jackson 

Kemmcrer 

Laramie 
Lovell 

Lusk 

Medicine Bow 

Mills 
Moorcroft 

Newcastle 

Pine Bluffs 
Pinedale 
Powell 
Rawlins 

Riverton 

Rock Springs 



Table 77. — Number of Full-time Law Enforcement Employees, Cities 


October 31, 1986— Continued 








City 


Total 
police 


Total 


Total 
civilians 


City 


Total 
police 

employees 


Total 
officers 


Total 
civilians 


WYOMING— Continued 


9 

42 
5 
5 


27 


5 
15 

3 


WYOMING— Continued 

Thermopolis 

Tornngton 

Upton 

Wheatland 

Worland 


14 
21 
3 
11 
13 


g 

14 
3 
9 

11 


6 


<5h H 


7 


Shoshoni 




Sundance 


2 
2 



fable 78. — Number of Full-time Law Enforcement Employees, Universities and Colleges, October 31, 1986 



University/College 



Total 
police 

employees 



Total 

police 

employees 



ALABAMA 

Auburn University: 

Main Campus 

Montgomery 
Jacksonville State University 

Troy State University 

University of Alabama, Tuscaloosa 
University of Montevallo 

ARIZONA 

Arizona State University 

Arizona Western College 

Northern Arizona University 

Pima Community College 

University of Arizona 

Yavapai College 

ARKANSAS 



University of Arkansas: 

Fayetteville 

Little Rock 

Medical Science 



CALIFORNIA 



Cabrillo CoUege 

California State College: 

Bakersfield 

San Bernardino 

Stanislaus 

California State Polytechnic Universit 

Pomona 

San Luis Obispo 

California State University: 

Chico 

Dominguez Hills 

Fresno 

Fullerton 

Hayward 

Long Beach 

Los Angeles 

Northridge 

Sacramento 

College of Marin 

College of the Sequoias 

Contra Costa Community College .. . 
Foothill-Deanza District Community 

Humboldt State University 

Merced College 

San Diego State University 

San Francisco State University 

San Jose State University 

San Jose City College 

Sonoma State University 

University of California: 

Berkeley 

Davis 

Lawrence Berkeley Laboratory 
Lawrence Livermore Laboratory 

Los Angeles 

Riverside 

San Diego 
San Francisco 

Santa Barbara 

Santa Cruz 

West Valley College 



COLORADO 

Adams State College 

Arapahoe Community College 
Auraria Higher Education Center 



COLORADO— Continued 

Colorado State University 

Red Rocks Community College 

University of Colorado: 

Boulder 

Colorado Springs 

Medical Center ... 
University of Northern Colorado 
University of Southern Colorado 

CONNECTICUT 

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

Avery Point 

Health Center 

Main Campus 

Western Connecticut State University 
Yale University 

FLORIDA 



Florida A & M University 

Florida Atlantic University 
Florida International University 
Florida State University 
University of Central Florida 
University of Florida. 
University of North Florida 
University of South Florida: 

Saint Petersburg 

Sarasota 

University of West Florida 

GEORGIA 

Albany Ctate College 

Augusta College 

Columbus College 

Georgia Institute of Technology 

Georgia Southern College 

Georgia Southwestern College 

Kennesaw College 

Savannah State College 
Southern Technical Institute 

University of Georgia 

Valdosta State College 

West Georgia College 

ILLINOIS 

Black Hawk College 

Chicago State University 

College of DuPage 

College of Lake County 

Eastern Illinois University 

Governors State University 

Illinois State University 

John A. Logan College 

Joliet Junior College 

Morton College 

Northeastern Illinois University 
Northern Illinois University 
Rock Valley College 

Sangamon State University 

Southern Illinois University: 

Carbondale 

Edwardsville 

State Community College 

Thornton Community College 
Triton College 
University of Illinois: 

Chicago 



309 



Table 78. — Number of Full-time Law Enforcement Employees, Universities and Colleges, October 31, 1986 — Continued 



University College 



Total 

mployees 



ILLINOIS— Continued 

Urbana 

Waubonsee College 
Western Illinois University 
William Rainey Harper College 

INDIANA 

Indiana University: 

Bloomington 

Gary 

Indianapolis 

New Albany 

IOWA 

Iowa State University 

University of Iowa 

University of Northern Iowa 



KANSAS 

Emporia State University 

Fort Hays State University 

Kansas State University, Manhattan 

Pittsburg State University 

University of Kansas 
Wichita State University 

KENTUCKY 

Eastern Kentucky University 

Morehead State University 

Murray State University 

Northern Kentucky University 
University of Kentucky 
University of Louisville 
Western Kentucky University 

LOUISIANA 

Louisiana State University: 

Baton Rouge 



Louisiana Tech, University 
McNeese State University 
Northeast Louisiana University 
Southeastern Louisiana I'niversir 



University of Maine, Orono 

University of Southern Maine 



MARYLAND 



Bowie State College 
Coppin State College 
Frostburg State College 
Morgan State University 
Saint Mary's College 
Salisbury State College 
Towson State University 
University of Baltimore 
University of Maryland: 

Baltimore City 

Baltimore County 

College Park 

Eastern Shore 



MASSACHUSETTS— Continued 

Framingham State College 

Massachusetts Institute of Technology 

North Adams State College 

Northeastern University 

Tufts University 

University of Massachusetts: 

Amherst .... 

Harbor Campus- Boston 
Wentworth Institute of Technology 

MICHIGAN 

Central Michigan University 

Delta College 

Eastern Michigan University 

Ferns State College 

Grand Valley State College 
Hope College 

Lansing Community College 
Macomb Community College 
Michigan State University 
Michigan Technological University 
Northern Michigan University 

Oakland University 

Saginaw Valley State College 

University of Michigan 

Western Michigan L'niversity 



MASSACHUSETTS 



iity of Minnesota 

MISSISSIPPI 



MISSOURI 

University of Missouri: 
Columbia 

Saint Louis 

Washington L'niversity 

MONTANA 

Montana State University 

NEBRASKA 

University of Nebraska. Lincoln 



University of Nevada, 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 County College 

Montclair State College 
Rutgers University: 
Camden 



fable 78. — Number of Full-time Law Enforcement Employees, Universities and Colleges, October 31, 1986 — Continued 



University/College 



Total 



Unmisity/College 



Total 
police 

employees 



NEW JERSEY— Continued 

New Brunswick 
Stockton State College 
rrenton State College 
University of Medicine and Dentistry: 

Camden 

Newark 

Piscataway 
William Paterson College 

NEW MEXICO 

Eastern New Mexico University 
■■Jew Mexico State University 

University of New Mexico 

Western New Mexico University 



NEW YORK 

Cornell University 

Ithaca College 

Rensselaer Polytechnic Institute 

State University of New York: 

Albany 

Amherst 

Binghamton 

Downstate Medical Center 

Maritime College 

Stony Brook 

Upstate Medical Center 

State University of New York 
Agricultural and Technical College: 

Alfred 

Canton 

Cobleskill 

Delhi 

Farmingdale 

Morrisville 
State University of New York College 

Brockport 

Buffalo 

Cortland 

Environmental Science and Forestr 

Fredonia 

Geneseo 

New Paltz 

Old Westbury 

Oneonta 

Optometry 

Oswego 

Pittsburgh 

Potsdam 

Purchase 

Utica-Rome 



NORTH CAROLINA 

Appalachian State University 

last Carolina University 

*Jorth Carolina State University, Raleigh 

University of North Carolina: 

Asheville 

Chapel Hill 

Charlotte 

Wilmington 
Western Carolina University 

NORTH DAKOTA 

University of North Dakota 



OHIO 

Bowling Green University 
Cleveland State University 
Cuyahoga Community College 

Kent State University 

Lakeland Community College 

Miami University 

Ohio State University 

University of Akron 

University of Cincinnati 

University of Toledo 

Youngstown State University 

OKLAHOMA 

Central State University 
Northeastern Oklahoma State Un 
Oklahoma State University- 
Putnam City Campus 
Tulsa Junior College 
University of Oklahoma: 

Norman 

Health Science Center 



Oregon State University 

PENNSYLVANIA 

Bloomsburg University 
California University . 
Cheyney University 

Clarion University 

East Stroudsburg University ... 
Edinboro University ..... 
Elizabethtown College 



I,,!: 



Un 



;ity 



Kutztown University 
Lehigh University 
Lincoln Universit) 
Lock Haven University 
Mansfield University 
Millersville University 
Moravian College 
Pennsylvania State University: 

Altoona Campus 

Behrend College 

Capital Campus 

McKeesport 

University Park 
Shippensburg University 
Slippery Rock University 
University of Pittsburgh. Bradford 
West Chester University 

RHODE ISLAND 

University of Rhode Island 

SOUTH CAROLINA 

Clemson University ... 
Medical University of South Carolina 
University of South Carolina 
Winthrop College 

TENNESSEE 

Austin Peay State University 

East Tennessee State University 



Table 78. Number of Full-time Law Enforcement Employees, Universities and Colleges, October 31, 1986 — Continued 



University/College 



Total 
employees 



University/College 



Total 
employees 



TENNESSEE— Continued 

Middle Tennessee State University 
University of 

Martin 

Memphis 



TEXAS 

Angelo State University 

Baylor University 

Eastfield College 

East Texas State University 

Lamar University 

McLennan Community College 

Midwestern State University 

North Hams County College 

North Texas State University 

Pan American University 

Richland College 

Southern Methodist University 

South Plains College 

Southwestern University 
Southwest Texas State Universit 
Stephen F. Austin State Univer: 

Sul Ross State University 

Texas A and M University 

College Station 



Galveston 
Texas Arts and Industries 
Texas Christian University 
Texas College Osteo Med 
Texas Southern University 
Texas State Technical Institute: 

Amarillo 

Waco 

Texas Tech. University 

Texas Tech. Health Science Cente 

Texas Woman's University 

University of Houston: 

Central Campus 

Clear Lake 

Downtown Campus 
University of Texas: 

Arlington 

Dallas 

El Paso 

Galveston ................. 

Health Science Center, San A 
Houston . 

Permian Basin 

San Antonio 

University of Texas Southwest 
Medical School 



Brigham Young University 
University of Utah 



UTAH— Continued 



Utah State University 
Utah Technical College: 

Salt Lake 
Weber State College 



VIRGINIA 



Christopher Newport College 
College of William and Mary 
George Mason University 
James Madison University 
Longwood College 
Mary Washington College 
Old Dominion University 

3rd University 
Thomas Nelson Community College 
University of Richmond 

University of Virginia 

Virginia Commonwealth University 
Virginia Polytechnic Institute and 
State University 



WASHINGTON 

Central Washington University 

Eastern Washington University 
University of Washington 
Washington State University 

WEST VIRGINIA 

Bluefield State College 

Concord College 

Glenville State College 

Marshall University 

Potomac State College 

West Liberty State College 

West Virginia Institute of Technology 

West Virginia State College 

West Virginia University 

WISCONSIN 



University of Wisconsin: 
Eau Claire 
Green Bay 
Madison 
Milwaukee 
Oshkosh 
Parkside 
Whitewater 



iity of Wyoming 



rable 79. — Number 


of Full-time Law 


Enforcement Employees, Suburban Counties, October 31, 1986 








County by state 


Total 
employees 


Total 
officers 


Total 
civilians 


County by state 


Total 

employees 


Total 


Total 


County by state 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


ALABAMA 








COLORADO 








GEORGIA— Continued 








Autauga 


18 


18 




Adams 


287 


212 


75 


Lee 


9 


7 


2 


Baldwin 


84 


31 


53 


Boulder 


185 


121 


64 


Madison 


14 


S 


6 


Blount 


19 


15 


4 


Douglas 


67 


47 


20 


Muscogee 


149 


86 


63 


Calhoun 


46 


27 


19 


El Paso 


283 


198 


85 


Newton 


41 


26 


15 


Colbert 


31 


19 


12 


Jefferson 


400 


299 


101 


Paulding 


34 


26 


8 


Dale 


17 


11 


6 


Larimer 


177 


117 


60 


Peach 


18 


13 


5 


Elmore 


22 


13 


9 


Pueblo 


198 


163 


35 


Richmond 


250 


245 


5 


Etowah 


44 


22 


22 


Weld 


141 


113 


28 


Rockdale 


82 


68 


14 


Houston 


87 


30 


57 










Spalding 


64 


55 


9 


Jefferson 


474 


363 


111 


DELAWARE 








Walker 


49 


44 


5 


^auderdale 


37 


22 


15 










Walton 


41 


33 


8 


Madison 


80 


58 


22 


New Castle Police 
















Mobile 


225 


195 


30 


Department 


207 


184 


23 


IDAHO 








Montgomery 


150 


135 


15 


















Russell 


29 


15 


14 


FLORIDA 








Ada 


193 


115 


78 


Shelby 


60 




16 


















Saint Clair 


22 
96 
33 


15 
65 
31 


7 
31 
2 


Bay 

Bradford 


233 
125 
21 


165 
96 
8 


68 
29 
13 


ILLINOIS 

Boone 


33 


16 




Tuscaloosa 
Walker 






17 










Brevard 


430 


163 


267 


Champaign 


54 


47 


7 


ARIZONA 








Broward 


2,052 


563 


1,489 


Clinton 


17 


15 


2 










Clay 


156 


95 


61 


Cook 


558 


490 


68 


Maricopa 


1,511 


390 


1,121 


Collier 


457 


213 


244 


Du Page 


315 


264 


51 


Pima 


813 


325 


488 


Dade 


3.113 


2,243 


870 


Grundy 


34 


22 


12 










Escambia 


373 


247 


126 


Henry 


34 


31 


3 


ARKANSAS 








Gadsden 


44 


17 


27 


Jersey 


12 


12 












Hernando 


181 


82 


99 


Kane 


123 


86 


37 


Crawford 


21 


8 


13 


Hillsborough 


1,559 


634 


925 


Kankakee 


91 


42 


49 


Crittenden 


35 


18 


17 


Lee 


432 


222 


210 


Kendall 


31 


18 


13 


Faulkner 


19 


9 


10 


Leon 


260 


194 


6t, 


Lake 


255 


203 


52 


fefferson 


49 


35 


14 


Manatee 


386 


200 


186 


Macon 


76 


46 


30 




18 
20 


9 

17 


9 

3 


Marion 

Martin 


330 

222 


133 
119 


197 
103 


Madison 

McHenry 


107 
90 


69 
66 


38 


Miller 


24 


Pulaski 


236 
32 


215 
20 


21 
12 


Nassau 
Okaloosa 


71 
150 


39 
100 


32 
50 


McLean 

Menard 


83 
10 


38 
7 


45 


Saline 


3 


Sebastian 


44 


19 


25 


Orange 


1,627 


576 


1,051 


Monroe 


17 


7 


10 


Washington 


45 


41 


4 


Osceola 


190 


87 


103 


Peoria 


160 


60 


100 










Palm Beach 


1,267 


567 


700 


Rock Island 




48 




CALIFORNIA 








Pasco 


443 


238 


205 


Sangamon 


152 


71 


81 










Pinellas 


1,268 


457 




Saint Clair 


110 


93 


17 


Alameda 


1,067 


689 


378 


Polk 


630 


287 


343 


Tazewell 


33 


30 


3 




74 


46 


28 


Saint Johns 


143 


93 


50 


Will 


228 


172 


56 


Contra Costa 


639 


475 


164 


Saint Lucie 


273 


109 


164 


Winnebago 


177 


106 


71 


El Dorado 


176 


117 


59 


Santa Rosa 


95 


55 


40 


Woodford 


22 


15 


7 




451 


270 


181 


Sarasota 


446 


196 


250 










Kern 


828 


554 


274 


Seminole 


352 


153 


199 


INDIANA 








Los Angeles 


6,899 


4,591 


2,308 


Volusia 


329 


212 


117 










Mann 


192 


132 


60 










Allen 


187 


122 


65 


Merced 


90 


74 


16 


GEORGIA 








Boone 


18 


11 


7 


Monterey 


341 


259 


82 










De Kalb 


26 


15 


11 


Napa 


91 


57 


34 


Barrow 


21 


21 




Elkhart 


92 


77 


15 


Drange 


1,859 


1,121 


738 


Butts 


20 


14 


6 


Hamilton 


58 


40 


18 


Placer 


233 


158 


75 


Catoosa 


45 


43 


2 


Harrison 


20 


7 


13 


Riverside 


996 


553 


443 


Chatham Police 








Howard 


56 


31 


25 


Sacramento 


1,211 


879 


332 


Department 


133 


107 


26 


Johnson 


44 


32 


12 


San Bernardino 


1,248 


902 


346 


Chatham 


58 


52 


6 


Lake 


316 


183 


133 


San Diego 

San Joaquin 

San Mateo 


1,642 


1,075 


567 




3 


2 




Manon 


657 


478 


179 


460 


364 


96 


Cherokee 


65 


55 


10 




53 


53 




433 


345 




Clarke Police 








Porter 


88 


63 


25 


Santa Barbara 


336 


228 


108 


Department 


68 


60 


8 


Saint Joseph 


155 


115 


40 


Santa Clara 


1,064 


786 


278 


Clarke 


69 


66 


3 


Tippecanoe 


66 


30 


36 


Santa Cruz 


215 


107 


108 


Clayton Police 








Tipton 


15 


6 


9 


Shasta 


220 


146 


74 


Department 


167 


150 


17 


Vanderburgh 


120 


99 


21 


Solano 


244 


86 


158 


Cobb 


213 


176 


37 










Sonoma 


259 


188 


71 


Cobb Police 








IOWA 








Stanislaus 


302 


129 


173 


Department 


395 


307 


88 












101 


78 


23 


Coweta 


48 


40 




Black Hawk 






24 
1 


Tulare 


375 


305 


70 


De Kalb 


240 


188 


52 


11 


10 


Ventura 


825 


522 


303 


Dougherty 
Effingham 


53 


50 


3 


Dallas 
Dubuque 
Johnson 
Linn 






9 


Yolo 


130 


98 


32 


27 




9 


40 


34 


Yuba 


84 


63 


21 


Forsyth 


40 


25 


15 


51 

117 


35 
85 


16 
32 










Fulton Police 
















Department 


207 


170 


37 


Polk 


161 


124 


37 










Gwinnett 


81 


74 


7 


Polt.m.iHamie 


50 


28 


22 



313 



Table 79. — Number of Full-time Law Enforcement Employees, Suburban Counties, October 31, 1986— Continued 



Total 
employees 



Total 

police 

employees 


Total 


Total 


officers 


civilians 


12 


8 


4 


38 


30 


8 


18 


17 


1 


8 


1 


7 


24 


24 




621 


476 


145 


1,604 


1,453 


151 


48 


44 


4 


24 


22 


2 


23 


21 


2 


23 


21 


2 


123 


106 


17 


46 


39 


7 


182 


182 




265 


209 


56 


24 


20 


4 


74 


71 


3 


979 


790 


189 


185 


142 


43 


1,256 


939 


317 


10 


10 




102 


39 


63 


90 


38 


52 


144 


115 


29 


67 


55 


12 


31 


19 


12 


94 


66 


28 


206 


97 


109 


160 


136 


24 


102 


70 


32 


146 


137 


9 


314 


258 


56 


49 


42 


7 


80 


63 


17 


287 


152 


135 


53 


36 


17 


124 


85 


39 


90 


70 


20 


472 


309 


163 


98 


92 


6 


116 


87 


29 


87 


72 


15 


214 


120 


94 


668 


456 


212 


123 


59 


64 


15 


9 


6 


52 


34 


18 


38 


22 


16 


29 


13 


16 


77 


50 


27 


419 


272 


147 


27 


10 


17 


58 


39 


19 


257 


215 


42 


153 


92 


61 


60 


30 


30 


30 


16 


14 


60 


34 


26 


94 


69 


25 


56 


52 


4 



County by state 



Total 


Total 


employees 


officers 


139 


139 


105 


96 


80 


80 


65 


53 


59 


56 


32 


24 


11 


10 


96 


69 


47 


46 


90 


90 


59 


53 


21 


21 


43 


33 


14 


5 


725 


518 


133 


93 


51 


37 


64 


36 


16 


5 


133 


94 


68 


51 


85 
13 


62 

5 


247 


195 


99 


72 


123 


50 


108 


87 


281 


247 


166 


82 


83 


34 


210 


174 


171 


123 


365 


272 


112 


91 


23 


10 


127 


110 


28 


8 


116 


110 


368 


262 


424 


377 


176 


124 


62 


38 


161 


127 


69 


54 


209 


125 


22 


14 


27 


16 


86 


54 


96 


77 


179 


133 


174 


101 


193 


79 


195 


176 


204 


152 



IOWA— Continued 

Scott 

Warren 

Woodbury 



Butler 

Douglas . 

Jefferson 

Johnson 

Leavenworth 

Miami 

Sedgwick- 
Shawnee 

Wyandotte 

KENTUCKY 

Boone Police 

Department 

Boone 

Bourbon 

Boyd 

Bullitt 

Bullitt Police 

Department 

Campbell Police 

Department 

Carter 

Christian Police 

Department 

Christian 

Clark 

Daviess 

Greenup 

Henderson 

Jefferson Police 

Department 

Jessamine 

Kenton Police 

Department 

Oldham Police 

Department 

Oldham 

Scott 

Scott Police Department 

Shelby 

Woodford 

Woodford Police 

Department 

LOUISIANA 

Ascension 

Bossier 

Caddo 

Calcasieu 

East Baton Rouge 

Jefferson 

Lafayette 

Lafourche 

Livingston 

Ouachita 

Rapides 

Saint Charles 

Saint John The Baptist 

Saint Martin 

Saint Tammany 

Terrebonne 

West Baton Rouge 



MISSISSIPPI 



MARYLAND 

Allegany 

Allegany Investigator 
Anne Arundel 
Anne Arundel Police 

Department 
Baltimore Police 

Department 

Baltimore 

Calvert 

Carroll 

Cecil 

Charles 

Frederick 

Harford 

Howard Police 

Department 

Howard 

Montgomery 

Montgomery Police 

Prince Georges 

Prince Georges Police 

Department 

Queen Annes 
Washington 

MICHIGAN 

Bay 

Calhoun 

Clinton 

Genesee 

Ingham 

Jackson 

Kalamazoo 

Kent 

Lapeer 

Livingston 

Macomb 

Midland 

Monroe 

Muskegon 

Oakland 

Ottawa 

Saginaw 

Saint Clair 

Washtenaw 

Wayne 

MINNESOTA 

Benton 

Chisago 

Clay 

Dakota 

Hennepin 

Olmsted 

Ramsey 
Saint Louis 

Scott 

Sherburne 

Steams 

Washington 
Wnght 



Harrison 
Hinds 



MISSOURI 

Buchanan 

Cass 

Christian 

Clay 

Franklin 

Jasper 

Lafayette 

Platte 

Ray 

Saint Louis Police 

Department 
Saint Charles 



Dakota 

Douglas 

Lancaster 

Sarpy 

Washington 



NEW JERSEY 

Atlantic 

Atlantic Prosecutor 
Bergen Police 

Department 

Bergen 

Bergen Prosecutor 

Burlington Prosecutor 

Burlington 

Camden Prosecutor 

Camden 

Cape May 

Cape May Prosecutor 

Cumberland 

Cumberland Prosecutor 
Essex Police 

Department 

Essex Prosecutor 

Essex 

Gloucester 

Gloucester Prosecutor 

Hudson 

Hudson Police 

Department 

Hudson Prosecutor 

Hunterdon 

Hunterdon Prosecutor 
Mercer Prosecutor 

Middlesex 

Middlesex Prosecutor 
Monmouth Prosecutor 
Monmouth 



314 



fable 79. — Number of Full-time Law Enforcement Employees, Suburban Counties, October 31, 1986 — Continued 



Total 






police 

employees 


officers 


civilians 


120 


71 


49 


116 


72 


44 


67 


41 


26 


356 


303 


53 


128 


91 


37 


52 


44 


8 


16 


9 


7 


110 


79 


31 


71 


46 


25 


29 


20 


9 


18 


12 


6 


134 


113 


21 


180 
13 


105 
11 


75 
2 


30 


16 


14 


249 


158 


91 


82 


47 


35 


37 


25 


12 


96 


73 


23 


61 


46 


15 


39 


32 


7 


6 


3 


3 


36 


29 


7 


18 


13 


5 


299 


231 


68 


124 


109 


15 


88 


74 


14 


68 


50 


18 


58 


56 


2 


60 


49 


11 


61 


51 


10 


65 


33 


32 


74 


49 


25 


3.056 


2,582 


474 


37 


35 


2 


58 


54 


4 


23 


18 


5 


267 


238 


29 


79 


61 


18 


19 


12 


7 


151 


146 


5 


50 


36 


14 


80 


80 




84 


82 


2 


237 


190 


47 


92 


64 


28 


26 


19 


7 


116 


89 


27 


173 


168 


5 


26 


12 


14 


90 


81 


9 


247 


222 


25 


35 


33 


2 


159 


128 


31 


146 


114 


32 


91 


62 


29 


70 


62 


8 


64 


53 


11 


78 


63 


15 


32 


26 


6 



County by state 



Total 

police 

employees 



NORTH CAROLINA— 



Union 
Wake 
Yadkin 



NORTH DAKOTA 

Burleigh 

Cass 

Grand Forks 

Morton 

OHIO 

Allen 

Auglaize 

Belmont 

Clark 

Clermont 

Delaware 

Fairfield 

Franklin 

Fulton 

Geauga 

Hamilton 
Lake 

Lawrence 

Licking 

Lucas 

Madison 

Mahoning 

Miami 

Montgomery 

Pickaway 

Portage 

Richland 

Stark 

Trumbull 

Washington 

Wood 

OKLAHOMA 

Canadian 

Cleveland 

Comanche 

Creek 

Garfield 

Logan 

McClain 
Oklahoma 

Pottawatomie 

Rogers 

Sequoyah 

Tulsa 

Wagoner 

OREGON 



Clackamas 
Jackson 

Marion 
Multnomah 
Polk 
Washington 



PENNSYLVANIA 

Allegheny Police 

Department 

Allegheny 

Beaver 

Centre 

Chester Detective 

Cumberland 

Delaware Criminal 

Investigative Division 
Montgomery Detective 

Washington 

Westmoreland Detective 



SOUTH CAROLINA 

Aiken 

Anderson 

Berkeley 

Charleston Police 

Department 

Dorchester 

Florence 

Greenville 

Lexington 

Richland 

Spartanburg 

York 

SOUTH DAKOTA 



18 


Anderson 


24 


Grainger 






21 


Knox 




Madison 




Marion 




Montgomery 




Robertson 




Rutherford 


14 


Sevier 






20 


Sullivan 










6 






Williamson 



Bexar 

Bowie 

Brazos 

Brazona 

Cameron 

Collin 

Dallas 
Denton 

Ector 

El Paso 

Ellis 

Fort Bend 
Galveston 
Grayson 
Gregg 



Table 79. — Number of Full-time Law Enforcement Employees, Suburban Counties, October 31, 1986 — Continued 



TEXAS— Continued 

Guadalupe 

Hardin 

Harrison 

Hays 
Hidalgo 

Jefferson 

Johnson 

Kaufman 

Liberty 

Lubbock 
McLennan 

Midland 

Montgomery 

Nueces 

Orange 
Parker 

Potter 

Randall 

Rockwall 

San Patricio 

Smith 

Tarrant 

Taylor 

Tom Green 

Travis 

Victoria 

Waller 

Webb 

Wichita 

Williamson 



Salt Lake 
Utah .... 
Weber 



Albemarle Police 

Department 
Amherst 
Botetourt 
Campbell 
Charles City 
Chesterfield Police 

Dinwiddle 
Fairfax Police 
Department 
Fluvanna 
Gloucester 
Goochland 

Hanover 
Hennco Police 

Department 
James City Police 

Department 
Loudoun 
New Kent 
Pittsylvania 
Powhatan 
Pnnce William Pol 

Prince George 

Roanoke 

Scott 

Stafford 

Washington 

York 



WASHINGTON 

Clark 

Franklin 

King 

Kitsap 

Pierce 

Snohomish 



WASHINGTON- 



Spokane 

Thurston 

Whatcom 

WEST VIRGINIA 

Brooke 

Cabell 

Hancock 

Kanawha 
Marshall 

Mineral 

Ohio 

Putnam 

Wayne 

Wood 

WISCONSIN 

Calumet 

Chippewa 

Dane 

Douglas 

Kenosha 

La Crosse 

Milwaukee 

Ozaukee 

Racine 

Rock 

Sheboygan 

Saint Croix 

Washington 

Waukesha 

Winnebago 

WYOMING 



316 



rable 80. — Number of Full-time Law- 


Enforcement Employees, Rural Counties, October 31, 


1986 








County by state 


Total 
employees 


Total 
officers 


Total 
civilians 


County by state 


Total 
employees 


Total 
officers 


Total 


County by state 


Total 
police 

employee-, 


Total 
officers 


Total 
civilians 


ALABAMA 








ARKANSAS— 
Continued 








CALIFORNIA— 

Continued 








larbour 


13 


8 


5 


















Butler 


6 


5 


1 


Craighead 


23 


17 


6 


Sierra 


14 


10 


4 


Chambers 


21 


12 


9 


Cross 


24 


14 


10 


Siskiyou 


63 


41 


22 


Cherokee 


11 


7 


4 


Dallas 


9 


4 


5 


Tehama 


62 


44 


18 




20 


10 


10 




11 




5 


Tuolumne 


30 


22 


8 
21 


'"hoctaw 




6 


10 


Drew 


10 


6 




Clarke 


14 


9 


5 


Franklin 


13 


5 


8 










Cleburne 


5 


4 






6 


3 


3 


COLORADO 












Coffee 




8 


11 


Garland 


53 


20 


33 












9 


5 


4 




11 


5 




Alamosa 


29 


26 


3 


Covington 


17 


9 


8 




17 


10 


7 


Archulela 


14 


9 


5 






11 


5 


6 


Hempstead 


17 


8 




Baca 

Bent 

Chaffee 


9 




5 
3 

7 


Cullman 


36 


33 


3 


Hot Spring 


17 


13 


4 


4 


Dallas 


38 


34 


4 


Howard 


12 


5 


7 


17 


10 




De Kalb 


26 


15 


11 


Independence 


41 


26 


15 


Cheyenne 


9 


9 








scambia 


27 


15 


12 


Izard 


12 


9 


3 


Clear Creek 


29 


22 


7 






11 


7 


4 


Jackson 


18 


11 


7 


Conejos 


12 


10 








-ranklin 


17 


9 


8 


Johnson 


13 


6 


7 


Costilla 




5 


4 


jeneva 


13 


6 

7 


7 
11 


Lafayette 
Lawrence 


9 

10 


5 
10 


4 


Custer 


3 
6 


3 
5 




jreene 


1 


^nry 


9 


4 


5 


Lee 


10 


5 


5 


Delta 


37 


26 


11 


ackson 


30 


16 


14 


Lincoln 


9 


9 




Dolores 


6 


3 


3 


-awrence 


22 


20 


2 


Little River 


10 


5 


5 


Eagle 

Elbert 


49 


43 


6 


_ee 


54 


27 


27 


Logan 


10 


5 


5 


10 


9 


1 


-imestone 


26 


15 


11 


Madison 


12 


6 


6 


Fremont 


32 


32 




-owndes 


13 


4 


9 


Manon 


10 


5 


5 




19 


16 


3 




20 


9 


11 


Mississippi 
Monroe 


36 


24 


12 


Gilpin 


14 




5 

1 


Marengo 




7 


9 


12 


5 


7 


13 


tfanon 


16 


7 


9 


Montgomery 


10 


5 


5 


Hinsdale 


4 


3 








Marshall 


33 


19 


14 


Nevada 


8 


3 


5 


Huerfano 


9 


8 












19 


7 


12 




6 


3 


3 


Jackson 


5 


5 










Morgan 
'erry 


54 


31 


23 


Perry 


10 


5 


5 


Kiowa 
Kit Carson 




2 
9 




9 


4 




Phillips 


10 


8 


2 


10 


1 


'ickens 


10 


5 


5 


Pike 


8 


8 




Lake 


15 


8 


7 


'ike 


10 


7 


3 


Poinsett 


16 


8 


8 


Las Animas 


16 


16 




Randolph 


12 


6 


6 


Polk 


10 


5 


5 




8 


8 




umter 


14 


4 


10 


Pope 


39 


20 


19 


Logan 


18 


17 


1 


lalladega 


45 


20 


25 


Prairie 


11 


9 


2 


Mesa 


110 


57 


53 


'allapoosa 


22 


14 


8 


Randolph 


9 


7 


2 


Mineral 




3 


1 


Wilcox 


11 


6 


5 


Saint Francis 


18 


9 


9 


Moffat 


27 


26 


1 


Vinston 


15 


9 


6 


Scott 


10 


4 


6 


Montezuma 


28 


24 


4 










Searcy 


10 


4 


6 


Montrose 


29 


27 


2 


ARIZONA 








Sevier .. 


" 


6 

5 


I 


Ouray™: 7 


36 
3 


36 
3 






29 


19 


10 






5 




Park ' 




11 


8 


Cochise 


114 


57 


57 


Union 


29 


23 


6 


Phillips 


3 


3 




Coconino 


106 


79 


27 


Van Buren 


11 


5 


6 


Pitkin 


31 


28 


3 


jila 


107 


68 


39 


White 


28 


15 


13 


Prowers 


11 


7 


4 


jraham 


17 


13 


4 


Woodruff 


11 


11 




Rio Blanco 


19 


13 


6 


jreenlee 


21 


12 


9 


Yell 


15 


6 


9 


Routt.. 


32 


23 


9 


^apaz 


37 


29 


8 










Saguache 


11 


7 


4 


tfohave 


71 


50 


21 


CALIFORNIA 








San Juan 


3 


2 


1 


"Javajo 


64 


38 


26 










San Miguel 


8 


8 




>inal 


194 


114 


80 


Alpine 


10 


8 


2 


Sedgwick 


6 


6 




anta Cruz 


35 


20 


15 


Amador 


46 


30 


16 


Summit 


38 


35 


3 


favapai 


119 


61 


58 


Calaveras 


59 


35 


24 


Teller 


25 


12 


13 










Colusa 


34 


27 


7 


Washington 


8 


4 


4 


ARKANSAS 








Del Norte 
Glenn 


36 
30 


27 
25 


9 

5 


Yuma 


7 


4 


3 


Arkansas 


8 


8 




Humboldt 


134 


77 


57 


FLORIDA 








Vshley 


19 


8 


11 


Imperial 


191 


107 


84 










Jaxter 


21 


14 


7 


Inyo 


48 


38 


10 


Baker 


32 


16 


16 


j enton 


33 


33 




Kings 


90 


67 


23 


Calhoun 


14 


7 


7 


loone 


15 


8 


7 


Lake 


94 


56 


38 


Charlotte 


170 


93 


77 




Iradley 


5 


4 


2 




35 


23 


12 


Citrus 


147 


101 


46 




Calhoun 


6 


3 


3 


Madera 


63 


47 


16 


Columbia 


79 


42 


37 




Carroll 


18 


9 


9 


Mariposa 


23 


22 


1 


De Soto 


58 


42 


16 




Chicot 


12 


6 


6 


Mendocino 


97 


76 


21 


Dixie 


23 


13 


10 


Clark 


22 


9 


13 


Modoc 


18 


13 


5 


Flagler . 


45 


28 


17 




Clay 


10 


4 


6 


Mono 


24 


22 


2 


Franklin 


32 


18 


14 




21 


10 


11 


Nevada 


96 


73 


23 


Gilchrist 


19 


9 


10 




Cleveland 


7 


7 






50 


34 


16 


Glades .... 


30 


14 


16 




Columbia 


17 


10 


7 


San Benito 


37 


19 


18 


Gulf 


15 


12 


3 




13 


9 


4 


San Luis Obispo 


160 


108 


52 


Hamilton 


42 


35 


7 


"° nway 





Table 80. — Number of Full-time Law Enforcement Employees, Rural Counties, October 31, 1986 — Continued 



Total 

employ vs 



Total 
police 

einpl<<U'L 



Long 

Lowndes 

Manon 

Mcintosh 

Meriwether 

Miller 

Mitchell 

Morgan 

Murray 



Pierce 
Pike 

Polk Polio 
Pulaski 

Quitman 

Rabun 

Schley .... 

Seminole 

Stephens 

Stewart 

Talbott 

Taylor 
Thomas 
Toombs ... 
Treutlen 
Turner 
Twiggs . . 
Union . 

Ware 



Whitfield 
Wilkes 
Wilkinson 
Worth 



Hawaii Police 
Department 

Kauai Police 
Department 

Maui Police 



Bear Lake 

Benewah 

Bingham 

Bonner 

Bonneville 
Boundary 
Butte 

Camas 

Canyon 

Caribou.. 
Cassia .. . 

Clark 

Clearwater 

Custer 

Elmore 



IDAHO — Continued 

Franklin 
Fremont 

Gooding 

Jefferson 
Jerome 

Kootenai 
Latah 

Madison 

Minidoka 

Nez Perce 

Oneida 

Owyhee 
Payette 

Shoshone 

Teton 

Twin Falls 

Valley 

Washington 



Bureau 

Calhoun 

Carroll 

Cass 

Christian 

Clark 

Clay 

Coles 

Crawford 

Cumberland 

De Kalb 

De Witt 

Edgar 

Edwards 

Effingham 

Fayette 

Ford 

Franklin 



Gallati 



Hamilton 
Hancock 
Hardin 
Henderson 

Jackson 

Jefferson 

Jo Daviess 

Johnson 

Knox 

La Salle 

Lawrence 

Lee 

Livingston 

Logan 

Macoupin 

Marion 

Marshall 

Mason 

Massac. 

McDonough 



Table 80. — Number of Full-time Law Enforcement Employees, Rural Counties, October 31, 1986 — Continued 

Total 
police 

llipl,.\,rs 



IOWA— Continued 



IOWA— Continued 



Buchanan 

Buena Vista 

Butler 

Calhoun 

Carroll 

Cass 

Cedar 

Cerro Gordo 

Cherokee 

Chickasaw 

Clarke 

Clav 

Clayton 

Clinton 

Crawford 

Davis 

Decatur 

Delaware 

Des Moines 

Dickinson 

Fayette 
Floyd 

Fremont 

Grundy 

Guthne 

Hamilton 

Hancock 

Hardin 

Harrison 

Howard 

Humboldt 

Ida 

Jackson 
Jasper 
Jefferson 

Jones 

Keokuk 
Kossuth 
Lee 

Lucas 

Madison 
Mahaska 
Manon ... . 
Marshall 
Mills 
Mitchell 
Monona 
Monroe- 
Montgomery 
Muscatine 
O'Brien 
Osceola 
Page 

Palo Alto 
Plymouth 
Pocahontas 
Poweshiek 
Ringgold 
Sac 
Shelby 

Story 

Taylor 

Van Buren 
Wapello 



Washington 

Wayne 

Webster 

Winnebago 

Winneshiek 

Worth 

Wright 



Allen 

Anderson 

Atchison 

Barton 

Bourbon 

Brown 

Chase 

Chautauqua 

Cheyenne 

Clark 

Clay 

Cloud 

Coffey . 

Comanche 

Cowley 

Crawford 

Decatur 

Dickinson 

Doniphan 

Edwards 

Elk 

Ellis 

Ellsworth 

Ford 
Franklin 

Gove 

Greenwood 

Hamilton 

Harper 

Haskell 
Hodgeman 
Jackson 
Jewell 

Kingman 

Kiowa 

Labette 

Linn 

Lyon 

Marion 
Marshall 
McPherson 

Mitchell 

Montgomery 

Morns 

Morton 

Nemaha 

Neosho 

Ness 

Norton 

Osage 

Osborne 



319 



Table 80. — Number of Full-time Law Enforcement Employees, Rural Counties, October 31, 


1986 — Continued 








County by state 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


County by state 


Total 

police 

employees 


Total 


Total 

civilians 


County by state 


Total 
employees 


Total 
officers 


Total 

civilians 


KANSAS — Continued 








KENTUCKY— 
Continued 








LOUISIANA— 
Continued 








Ottawa 


9 


5 


4 










































Phillips 






4 








































Pratt 






























Kn ll 








Evangeline 

Grant 








Republic 


8 




4 


Knox 


6 


3 


3 


31 


19 


12 


Rice 


12 


6 


6 


Larue 


4 


3 


1 


Iberia 


98 


98 




Riley Police 








Laurel 


9 


9 




Iverville 


134 


46 


81 


Department 


10 


7 


3 


Lawrence 


2 


2 




Jackson 


29 


29 




Rooks 


6 


3 


3 


Lee 


2 


2 




La Salle 


31 


20 


1 


Rush 


8 


3 


5 


Leslie 


4 


2 


2 


Lincoln 


29 


27 


2 


























Saline 


40 


40 




Lewis 


5 


5 




Morehouse 


36 


31 


5 


Scott 


3 


3 




Lincoln 


5 


5 




Natchitoches 


50 


46 




Seward 
Sheridan 








Livingston 








Plaquemines 
Red River 










1 


1 


8 


g 




32 


32 




Sherman 

Smith 








Lyon Police 








Saint Mary 

Saint James 








6 


2 


4 








68 


52 


16 










Department 
















Stanton 

Stevens 






















10 


5 


5 


Magoffin 


5 


5 




Vermilion 


73 


73 




Sumner 


15 


12 


3 


Marion 


3 


2 


1 


Vernon 


59 


58 




Thomas 


7 


7 




Marshall 


11 


8 


3 


West Carroll 


15 


15 




Trego 


7 


5 


2 


Martin 


4 


4 












Wabaunsee 


9 


4 


5 


Mason 


8 


8 












Wallace 


1 


1 




McCracken 


20 


20 












Washington 


9 


5 


4 


McCracken Police 










12 


II 




Wichita 


7 


3 


4 


Department 


1 


1 






10 


9 


1 


Wilson 


16 


6 


10 


McCreary 


4 


4 






15 


10 


5 


Woodson 


8 


8 




McLean 


2 

5 


2 
5 




Kennebec 


12 


8 




KENTUCKY 








Menifee 

Mercer 


4 


4 




Oxford 


18 
15 


10 
11 


8 


Adair 


4 


4 




Metcalfe 


4 


4 




Penobscot! 


24 


17 


1 




























. 


j 




Montgomery 


8 


8 














5 


5 




Morgan 


6 


4 


2 




9 


9 












Muhlenberg 


















4 






Nelson 


6 


4 


2 










Bell 


8 


8 




Nelson Police 








York 


23 


13 


10 


Boyle 


7 


7 




Department 


4 


4 












Bracken 


2 


2 




Nicholas . 


3 


3 












Breathitt 


9 


9 






8 














Breckinridge 


5 


5 


















28 


Butler 


3 


3 






4 




' 




29 


29 




Caldwell 


5 


I 






12 


12 






24 


17 




Calloway 




Carlisle 

Carroll 
Casey 


2 
3 
3 


2 
2 
3 


1 


Powell 
Pulaski 


16 


5 


7 


Saint Mary's 
Somerset 


46 


41 




Clay 
Clinton 


\ 


2 


2 


Robertson 
Rockcastle 


5 






Wicomico 


32 


26 




Crittenden 


2 


2 




Rowan 


° 


* 












Cumberland 


3 
3 


3 
3 






6 


6 




MICHIGAN 








Elliott 


j 






Spencer. 


3 


2 


1 


Alcona 


20 


12 




Fleming 




3 




Todd 

Trigg 


3 


3 
2 


: 


Alger 
Allegan .. 


83 




4! 










Trimble 


3 


3 




Alpena 
















Union 


5 


3 


2 


Antrim .... 
















Warren 


15 


13 


2 


















Washington 


3 


3 




Bara ga 
















Wayne... 


6 


6 




Barry 






1 










Webster 


8 


5 


3 


Benzie 








Grayson 


7 


7 




Whitley 


8 


6 


2 


Branch.. 




38 


14 










Wolfe 




2 










Hancock 

Hardin 


5 

10 


5 
10 




LOUISIANA 








Charlevoix 
Cheboygan 
Chippewa 


23 
19 


15 

16 




Harrison 

Hart 


4 






Acadia 

Assumption 


80 


78 
33 


2 
9 


Clare 

Crawford 

Delta 

Dickinson 


24 


21 








5 




Avoyelles 


50 






20 


10 


K 









Table 80. — Number of Full-time Law Enforcement Employees, Rural Counties, October 31, 1986 — Continued 



Total 
police 

employees 



Koochiching 
Lac Qui Parle 
Lake 
Lake-of-the- Woods 

Le Sueur 

Lincoln 

Mahnomen 
Marshall 
Martin 
McLeod 

Mille Lacs 

Morrison 

Mower 

Nicollet 

Nobles 

Norman 

Otter Tail 

Pennington 

Pine 

Pipestone 

Polk 

Pope 

Red Lake 

Redwood 

Renville 

Rice 

Rock 

Roseau 

Sibley 

Stevens 
Swift 

Todd 

Traverse 

Wabasha 
Wadena 

Watonwan 

Wilkin 

Winona 

Yellow Medicine 

MISSISSIPPI 

Chickasaw 

Claiborne 

Clarke 

Clay 

Franklin 

Holmes 

Issaquena 

Itawamba 

Jefferson Davis 

Jones 

Lauderdale 
Lawrence 

Marshall 

Montgomery 

Neshuba 
Newton 
Quitman 

Simpson 

Sunflower 

Tate 



Tishomingo 
Walthall 

Washington 
Wayne 
Winston 
Yalobusha 

MISSOURI 

Andrew 
Atchison ... 
Audrain 

Barton 

Bates 

Benton 

Bollinger 

Caldwell 

Camden 

Cape Girardeau 

Carroll 

Carter 

Cedar 

Chariton 

Cole 

Crawford 

Dallas 

Daviess 

De Kalb 

Douglas 

Dunklin 

Gasconade 

Grundy 

Harrison 

Holt 



Linn 

Livingston 

Madison 

Maries 

Marion 

McDonald 

Mercer 

Montgomery 

Nodaway 

Oregon 

Ozark 

Perry 

Pike 

Pulaski 

Randolph 

Reynolds 

Ripley 

Sainte Genevieve 

Saint Clair 

Saint Francois 

Schuyler 

Scotland 

Scott 

Shelby 

Sullivan 

Vernon 

Warren 

Webster 
Worth 



Table 80. — Number of Full-time Law 


Enforcement Employees, Rural Counties, October 31, 


1986 — Continued 








County by state 


Total 
employees 


Total 
officers 


Total 


County by state 


Total 
police 

emplou-es 


Total 
officers 


Total 
civilians 


County by state 


Total 
police 


Total 


Total 


MONTANA 








NEBRASKA— 

Continued 








NEW MEXICO— 

Continued 








Big Horn 


33 


17 


16 


















Blaine 


15 


6 


9 


Hitchcock 


5 


2 


3 


Roosevelt 


17 


9 


g 


Broadwater 


11 


7 


4 


Holt 


10 


4 


6 


San Juan 


41 


32 


9 


Carbon 


10 


6 


4 


Jefferson 


9 


5 


4 


Socorro 


14 


10 


4 


Chouteau 


11 


8 


3 


Johnson 


6 


2 


4 


Taos 


18 


10 


g 


Custer 


6 


4 


2 


Kearney 


6 


5 


1 


Torrance 


20 


9 


11 


Daniels 


6 


2 


4 


Keith 


14 


13 


1 


Union 


4 


3 


1 


Dawson 


8 


6 


2 


Keya Paha 




1 




Valencia 


22 


15 


7 


Deer Lodge 


21 


15 


6 


Kimball 




3 


4 










Fallon 


3 


2 


1 


Knox 


12 


6 


6 


NEW YORK 








Fergus 


17 


9 


8 


Lincoln 


42 


23 


19 










Flathead 


64 


36 


28 


Logan 




3 




C a y uga 


30 


19 


11 


Gallatin 


51 


28 


23 


Madison 


18 


11 


7 


Chautauqua 


76 


66 


10 


Granite 


11 


6 


5 


Merrick 


8 


4 


4 


Chenango 


17 


8 


9 


Hill 


17 


8 


9 


Morrill 


6 


2 




Clinton 






4 


Jefferson 


II 


8 


3 


Nance 


8 


5 


3 


Columbia 


36 


32 


4 


Lake 


22 


13 


9 


Nemaha 


7 


3 


4 


Cortland 


30 


25 


5 


Lewis and Clark 


43 


24 


19 


Nuckolls 


5 


3 


2 


Delaware 


9 


7 


2 


Liberty 


9 


4 


5 


Otoe 


12 


6 


6 


Fulton 


28 


26 


2 


Lincoln 


34 


21 


13 


Pawnee 


5 


3 


2 


Genesee 


44 


31 


13 


Madison 


11 


7 


4 


Perkins 


8 


4 


4 


Jefferson 


38 


21 


17 


McCone 


7 


2 






21 


20 




Otsego 




18 

12 






5 


3 


2 


Polk 


6 




2 


12 








Missoula 


79 


52 


27 


Richardson 


7 


3 


4 


Saint Lawrence 


37 


35 


2 


Musselshell 


13 


8 


5 


Saline 


13 


9 


4 


Seneca 


30 


19 


11 


Petroleum 


1 


1 




Saunders 


15 


7 


8 


Steuben 


22 


22 




Phillips 


5 


4 


1 


Scotts Bluff 


12 


g 


4 


Tompkins 


56 


30 


26 


Pondera 


7 


5 


2 


Seward 


15 


7 


8 


Wyoming 


27 


17 


10 


Powder River 


7 


3 


4 


Shendan 


13 


3 


10 


Yates 


24 


21 


3 


Ravalli 


27 


14 


13 


Sherman 
















Richland 


17 


8 




Stanton 


4 


3 


1 


NORTH CAROLINA 








Roosevelt 


33 


22 


11 


Thayer 


10 


7 


3 










Rosebud 


34 
12 
5 


20 
7 


14 

5 
1 


Thomas 

Valley 

Wayne 

Webster 

York 

NEVADA 

Churchill 

Elko. 


1 
5 


2 
4 


3 


Alleghany 




6 

17 


5 


Sanders 




4 








Stillwater 


15 
8 

10 
19 

18 
8 


8 

11 
10 


7 

8 
8 


13 

22 


5 

17 
35 


2 
8 

5 


Ashe 




13 
18 
20 

18 
39 

2 


9 


Sweet Grass 


Beaufort 


8 


Teton 


Bertie 




Toole 


Bladen 


14 


Treasure 


Brunswick 


11 


Valley 


Caldwell 


24 


Wheatland 


Camden 


1 


Wibaux 




2 


3 


Esmeralda 
Humboldt 


12 
26 


g 
19 


4 

7 


Carteret 
Caswell 




29 

18 


9 

10 


NEBRASKA 








Lincoln 


13 


10 


3 


Chatham 




29 


23 










Lyon 


43 


39 


4 


Cherokee 




8 


4 


Adams 


14 


12 


2 


Mineral 


23 


17 


6 


Chowan 




7 


5 


Antelope 


10 


6 


4 


Pershing 


14 


g 


6 


Clay 




6 


4 


Boone 


4 






Storey 


17 


17 




Cleveland 




40 


18 


Box Butte 


5 




1 


White Pine 


29 


28 


1 


Columbus 




34 


12 


Brown 


7 




4 










Craven 




40 


34 


Buffalo 


29 


15 


14 


NEW HAMPSHIRE 








Currituck 




12 


3 


Burt 


7 




3 










Dare 




27 


7 


Cass 


18 




9 


Belknap 


19 


19 




Duplin 




26 


8 


Cedar 


6 




4 


Carroll 


15 


1 1 


4 


Edgecombe 




25 


12 


Chase 


5 




4 


Cheshire . 


g 




2 


Gates 




4 




Cherry 


11 




6 


Grafton . 


15 


8 


7 


Graham 








Cheyenne 


10 




5 


Merrimack 


18 


12 


6 


Granville 




17 


2 


Clay 


2 






Sullivan 


7 


5 


2 


Greene 




15 




Colfax 


9 




6 










Halifax 




26 


21 


Cuming 


4 




1 


NEW MEXICO 








Harnett 




41 








Custer 


6 




1 










Haywood 




37 




Dawes 


13 




10 


Catron 


7 


3 


4 


Henderson 




46 


1C 


Dawson 


24 


12 


12 


Cibola 






4 


Hertford 




11 


12 


Deuel 
Dixon 
Dodge 


2 
5 

27 


,5 


2 
12 


Colfax 


14 

7 


7 
9 


7 
3 


Hoke 
Hyde 

Iredell 




22 
7 

55 


1 


Dundy 

Franklin 
Gage 

Hall 
Hamilton 

Harlan 


6 

12 
7 
49 
12 
8 


19 
5 


2 
5 

30 

7 

3 


Eddy 

Guadalupe 

Harding 

Lea 

Lincoln 

Luna 

McKinley 


9 

1 
44 
28 
34 
30 


35 
1 
15 
17 


9 

18 
13 

13 


Jackson 

Lee 

Macon 
Martin 




23 

5 

25 
2g 
17 


22 
11 



Table 80. — Number of Full-time Law 


Enforcement Employees, Rural Counties, October 31, 


1986— Continued 








County by state 


Total 

police 

employees 


Total 


Total 
civilians 


County by state 


Total 

employees 


Total 
officers 


Total 


County by state 


Total 

employees 


Total 


Total 


NORTH CAROLINA— 








NORTH DAKOTA— 








OKLAHOMA— 








Continued 








Continued 








Continued 








McDowell 


34 


23 


II 


Towner 


3 


2 


, 


Greer 


5 


4 


1 


Montgomery 


27 


18 


9 


Traill 


6 


6 




Harmon 


3 


3 




Moore 


50 


32 


18 


Walsh 


11 


11 




Harper 


9 


5 


4 


Nash 


45 


32 


13 


Ward 
















Northampton 


19 


7 


12 


Wells 


2 


2 




Hughes 


9 


8 


1 


Pamlico 


11 


10 


5 


Williams 


28 


26 


2 




11 


6 










Perquimans 




4 


1 


OHIO 
















22 


19 


3 








Kay 


25 


8 


17 










Ashland 


36 

74 


34 


2 












17 


9 


8 


Kiowa 


8 


8 










46 


26 


20 


Champaign 


22 


22 




Latimer 


5 


3 
















Coshocton 


55 
27 


48 


7 










Rockingham 


72 


65 


7 


Lincoln 


12 


6 


6 


Rutherford 


38 


25 


13 




51 






Love 


7 


7 




Sampson 


47 


35 


12 




20 


18 




Major 


7 


7 




Scotland 


28 


24 


4 


Erie 


43 


26 


17 


Marshall 


11 


5 


6 










Fayette 
Gallia 
Hardin 

Harrison 

Henry 

Highland 

Hocking 


23 
29 
20 

22 
25 
17 


21 

27 


2 
2 
9 


Mayes 






















Swain 












4 












8 

22 
16 
11 


Murray 
Muskogee 




. 










4 


















6 








Warren 


14 


10 


4 


Nowata 


9 


5 


4 


Washington 


11 


7 


4 




18 


15 


3 


Okfuskee 


9 


9 




Watauga 


28 


19 


9 


Huron 


27 


19 


8 


Okmulgee 


13 


7 


6 










Logan 


47 
27 
14 


34 




















5 
1 


Pawnee 








Wilson 


57 


37 


20 


13 


Payne 


18 


18 












Morgan 


14 


8 


6 


Pittsburg 


15 


15 




NORTH DAKOTA 








Morrow 


20 


10 


10 


Pontotoc 
















Muskingum 


47 


28 


19 


Pushmataha 


6 


5 


1 


Adams 


5 


4 


1 


Ottawa 


35 


30 


5 


Roger Mills 


12 


11 


1 




11 


11 






19 


13 


6 


Seminole 


14 


14 




















Stephens 


10 


9 


1 


















Texas 


13 


6 


7 


















Tillman 


6 


5 


1 


















Washita 


10 


9 


1 




4 
7 


3 


1 




41 


39 


2 


Washington 

Woods 


16 
7 


16 




Cavalier 




3 


Dickey 


4 


3 


1 


Scioto 


22 


22 




Woodward 


11 


7 


4 




3 


2 


1 


Shelby 


28 


28 












Dunn 








Tuscarawas 






4 


OREGON 
































Emmons 


2 


2 




Vinton 


9 


5 




Baker 


7 


6 


1 


Foster 


2 


2 




Wayne 


55 


48 


7 


Benton 


29 


24 


5 


Golden Valley 


8 


3 


5 


Williams 


27 


22 


5 


Clatsop 


5 


4 


1 


Grant 


3 


3 




Wyandot 


11 


6 


5 


Columbia 


14 


12 


2 


Gnggs 


2 


2 












Coos 


36 


25 


11 


Hettinger 


2 


2 




OKLAHOMA 








Crook 


8 


6 


2 


Kidder 


2 


2 












Curry 


21 


14 


7 


La Moure 


3 


3 




Adair 


6 


6 




Deschutes 


46 


34 


12 




2 


2 






7 


4 


3 


Douglas 


92 


61 


31 


McHenry 


2 


2 






7 


5 


2 


Gilliam 


2 


2 






2 


2 










3 




3 


3 










McKenzie 


6 


6 






13 


13 




Harney 


3 


2 


1 


McLean 


23 


18 


5 






7 




Hood River 


14 


11 


3 


Mercer 


19 


19 












Jefferson 


14 


9 


5 


Mountrail 


9 


5 


4 




7 




Josephine 


51 


36 


15 


Nelson 


5 


4 


1 








9 


Klamath 


27 


21 


6 


Oliver 


3 


3 






18 


13 


=, 


Lake 


6 


5 


1 


Pembina 


16 


12 


4 




11 


9 


2 


Lincoln 


22 


!9 


3 


Pierce 


7 


3 


4 










Linn 


53 


50 


3 


Ramsey 


7 


6 


1 










Malheur 


11 


10 


1 


Ransom 


4 


4 






9 


4 


5 


Morrow 


13 


7 


6 


Renville 


4 


2 


2 




p 


5 


7 


Sherman 


4 


3 


1 


Richland 


12 


6 


6 










Tillamook 


15 


12 


3 


Rolette 


6 


3 


3 




15 


10 


5 


Umatilla 


13 


11 


2 


Sargent 


3 


3 






10 


g 


2 


Union 


4 


3 


1 


Sheridan 


2 


2 












Wallowa 


10 


6 




Slope 


1 


1 












Wasco 


23 


15 


8 


Stark 


9 


6 


3 




15 


15 




Wheeler 


1 


1 




Stutsman 


11 


10 


' 


Grant 


8 


4 


4 











Table 80. — Number of Full-time Law Enforcement Employees, Rural Counties, October 31, 1986 — Continued 



Total 

mpln\ees 



County by state 



Total 

police 

employes 



SOUTH DAKOTA- 



Spmk 
Sully 



TENNESSEE 

Bradley 

Chester 
Claiborne 

Cocke 

Crockett 
Cumberland 

Decatur 

Fayette 
Fentress 



Greene 
Hamblen 
Hancock 
Hardeman 

Hardin 

Henderson 

Henry 

Houston 

Humphreys 

Lake 

Lauderdale 

Lincoln 
McNairy 
Monroe 

Overton 
Perry- 
Rhea 
Roane 
Smith 

Trousdale 
Van Buren 
Warren 
Weakley 
White 



Anderson 
Andrews . . 

Aransas 

Archer 

Armstrong 
Atascosa . 

Austin 

Bailey 

Bandera 

Bastrop 

Baylor 

Bee 

Blanco 

Borden 

Bosque 



Burleson 
Caldwell 

( '.llholll! 



TEXAS — Continued 

Callahan 
Camp 

Cass 

Castro 

Chambers 

Cherokee 

Childress 
Clay 
Cochran 
Coke 

Coleman 

Collingsworth 
Colorado 

Comanche 

Concho 

Cooke 

Cottle 

Crane 

Crockett 

Crosby 

Culberson 
Dallam 
Dawson 
Deaf Smith 
Delta 
De Win 

Dimmit 
Donley 
Duval 
Eastland 

Edwards 

Erath 

Fayette 

Floyd 

Foard 

Franklin 
Freestone 

Garza 

Gillespie 

Glasscock 

Goliad 

Gonzales 

Gray 

Hale 

Hall 

Hamilton 

Hansford 

Hardeman 

Hartley 

Haskell 

Hemphill 

Henderson 

Hill 

Hockley 
Hood 
Hopkins 
Houston 

Howard 

Hudspeth 

Hunt 

Hutchinson 

Inon 

Jack 

Jackson 

Jeff Davis 



Table 80. — Number of Full-time Law 


Enforcement Employees, Rural Counties, October 31. 


1986 — Continued 








County by state 


Total 
employees 


Total 
officers 


Total 
civilians 


County by state 


Total 

police 

employees 


Total 


Total 


County by state 


Total 

employees 


Total 
officers 


Total 
civilians 


TEXAS — Continued 








TEXAS— Continued 








VIRGINIA— Continued 








Jones 


13 


4 


9 


Sterling 


3 


3 




Buckingham 


13 


8 


5 




















31 


24 












Sutton 








C II 












Swisher 








Charlotte 


18 
24 


14 
19 


4 
















- 
















. 


Craig 


. 




7 






















] 














Cumb-rland 
























D k 


31 


23 


„ 


Kleberg 


















, 
















Fauquier 

Floyd 

Franklin 






. . 
























Lamb 


12 


7 


5 


Uvalde 


17 


9 


8 


44 


35 


9 


Lampasas 


12 


11 


1 


Val Verde 


67 


9 


58 


Frederick 


51 


32 


19 


La Salle 


10 


5 


5 


Van Zandt 


26 


13 


13 


Giles 


28 


28 




Lavaca 


15 


13 


2 


Walker 


45 


21 


24 


Gravson 


25 


20 


5 


Lee 


12 


8 


4 


Ward 


32 


16 


16 


Greensville 


23 


21 


2 










Washington 
Wharton 










33 
88 


26 

77 




Limestone 


19 




3 


35 


22 


13 




11 


Lipscomb 


10 


10 




Wheeler 


9 


6 


3 


Highland 


9 


6 


3 










Wilbarger 
Willacy 








Isle of Wight 
King George 
King and Queen 
King William 




























Loving 




















Lynn 


12 


5 


7 


Winkler 


14 




2 


17 


11 


6 


Madison 


14 


9 


5 


Wise 


28 


15 


13 


Lancaster 


22 


19 


3 


























Martin 


7 


3 






















5 














Lunenburg 








Vlatagorda 








Zapata 














13 
9 


13 
7 




Zavala 


15 


13 


2 




13 


8 

19 




McCulloch 


Mecklenburg 


25 


McMullen 


2 


2 












Middlesex 


12 


7 


5 


















Montgomery 
















Box Elder 


5 
34 
53 


4 
26 
38 


















8 


Northampton 
Northumberland 








Mills 


5 


3 


2 


18 


14 


4 


Mitchell 


1 1 


5 


6 




27 




6 


Nottoway 


14 


13 


1 


Montague 


13 


6 


7 


Daggett 


3 






Orange 


29 


29 




Moore 


18 


16 


2 






18 


3 


Page 


28 


28 




Morris 


13 


8 


5 


Emery 


38 


24 


14 


Patrick 


24 


21 


3 


Motley 


2 


2 






6 




4 


Prince Edward 


25 


23 


2 


Nacogdoches 


35 


19 


16 




14 


9 


5 


Pulaski 


52 


40 


12 


Navarro 


30 


26 


4 










Rappahannock 


13 


10 


3 


Mewton 


13 
19 


8 
9 
8 


5 




12 
9 


6 

8 


1 


Richmond 
Rockbridge 
Rockingham 


14 
26 
54 


11 
20 
25 


3 


Nolan 


Kane 


6 


Ochiltree 




29 


Oldham 


10 


5 


5 










Russell 


35 


35 




Palo Pinto 


23 


11 


12 










Shenandoah 


33 


33 




Panola 


20 


17 


3 


Rich 






5 


Smyth 


38 


38 




Parmer 


11 


5 


6 










Southampton 


31 


23 


8 


Pecos 


23 


19 


4 




16 


10 


6 


Spotsylvania 


38 


28 


10 


Polk 


25 


22 


3 




23 


19 


4 


Surry 


12 


7 


5 


Presidio 


10 


5 


5 










Sussex 


25 


25 




Rains 


16 


7 


9 




30 




14 


Tazewell 


49 


41 


8 


Reagan 


14 


8 


6 










Wan-en 


37 


37 




Real 


4 


4 












Westmoreland 


27 


20 


7 


Red River 


13 


7 


6 


Washington 

Wayne 






q 


Wise 


51 


40 


11 


Reeves 


116 


15 


101 








Wythe 


39 


31 


8 


Refugio 


13 


9 


4 
















Roberts 
Robertson 


10 


5 


1 
5 


VERMONT 








WASHINGTON 








Runnels 
Rusk 


10 
26 


5 
16 


5 
10 


Windham 


16 


11 


5 


Asotin 


18 
7 


10 


8 


Sabine 


9 


4 


5 


















San Augustine 


11 


7 


4 










Clallam 


38 


29 




San Jacinto 


20 


10 


10 


















San Saba 


7 


7 




Accomack 






2 










Schleicher 


8 
12 


7 


5 


Alleghany 

Amelia 


]\ 


6 


5 


Douglas 


24 


24 




Shackelford 


3 


3 




Augusta 






9 


























Grant 

Grays Harbor 


51 
50 


29 
44 


22 
6 


Sherman 

Somervell 


8 
18 


3 
6 


5 
12 


Bedford 
Bland 


10 


45 
10 




Starr 


44 


20 


24 


Brunswick 

Buchanan 


33 


33 


4 




25 


18 


- 


Stephens 







325 



Table 80. — Number of Full-time Law Enforcement Employees, Rural Counties, October 31, 1986 — Continued 



Total 
police 

niplnu-cs 



Total 

cmpl.nt-es 



Total 
employees 



WASHINGTON- 



Klickitat 

Lewis 

Lincoln 

Okanogan 
Pend Oreille 
San Juan 

Skagit 

Skamania 
Stevens 
Wahkiakum 
Walla Walla 
Whitman 



WEST VIRGINIA 

Berkeley 

Boone 

Braxton 

Calhoun 

Clay 

Doddridge 

Fayette 

Gilmer 

Grant 

Greenbrier 

Hampshire 

Hardy 

Harrison 

Jackson 

Jefferson 

Lewis 

Lincoln 

Logan 

Marion 

Mason 

McDowell 

Mercer 

Mingo 

Monongalia 

Monroe 

Morgan 

Nicholas 

Pendleton 

Pleasants 

Pocahontas 

Preston 



WEST VIRGINIA- 



WISCONSIN- 



Raleigh 

Randolph 

Ritchie 

Summers 
Taylor 

Tyler 

Upshur 

Webster 

Wetzel 

Wirt 

Wyoming 

WISCONSIN 

Adams 

Bayfield 

Buffalo 

Clark 

Columbia 

Door 

Florence 

Gram 

Green Lake 

Iowa 
Iron 

Jackson 

Jefferson 

Kewaunee 

Lafayette 

Langlade 
Lincoln 
Manitowoc 

Marquette 
Menominee 

Oconto 

Pierce 

Polk 

Portage 



Price 

Richland 
Rusk 

Sawyer 

Shawano 

Taylor 

Trempealeau 

Vilas 

Walworth 

Washbum 

Waupaca 

Waushara 

Wood 

WYOMING 

Big Horn 

Campbell 

Converse 

Crook 

Fremont 

Goshen 

Hot Springs 

Johnson 

Lincoln 

Niobrara 

Park 

Platte 

Sheridan 

Sublette 

Sweetwater 

Teton 

Uinta 

Washakie 

Weston 

OTHER AREAS 

American Samoa 

Puerto Rico 

Virgin Islands 



SECTION VI 

APPENDIX I 

TABLE METHODOLOGY 



Designed to assist the reader, this appendix explains the 
instruction of many tabular presentations in the book. The 
)llowing key refers to the columnar headings used 
iroughout the appendix. 

^ey: A) Column 1 shows the table numbers. Included are 
Tables 1 through 69, Crime in the United States- 
1986. 

B) Column 2 indicates the level of submission 
necessary for an agency's statistics to be included 
in a table. There are three levels of participation: 

1. Agencies having reported data for all 12 
months of the year. 

2. Agencies having reported data for at 
least one month but less than 12 months 
of the year. 

3. Nonreporting agencies. 



The tabulations presented in the publication 
employ statistics from one or more of these 
participation levels. For example, Table 2 includes 
all three agency reporting levels, but Table 14 
presents only data for agencies having reported the 
entire year. 

C) Column 3 explains how each table was 
constructed. Data adjustments, if any, are 
discussed along with various definitions of data 
aggregation. 

D) Column 4 contains general comments regarding 
the potential use and misuse of the statistics 
presented. 



I 



327 



All law enforcement agencies in the UCR Program 
(including those submitting less than 12 months). 



All law enforcement agencies in the UCR Progr; 
(including those submitting less than 12 months 



All law enforcement agencies in the UCR Prograt 
(including those submitting less than 12 months i 
1986). 

All law enforcement agencies in the UCR Program 
(including those submitting less than 12 months). 



All law enforcement agencies in the UCR Program 
(including those submitting less than 12 months 
1986). 



Table Constructic 



The 1986 statistics are consistent with Table 2. Pre- 
1986 crime statistics may have been updated, and 
hence, may not be consistent with prior publica- 
tions. Crime statistics include estimated offense 
totals for agencies submitting less than 12 months 
of offense reports for each year. Population statis- 
tics represent July 1 provisional estimations foi 
each year except April 1, 1980. The offense break 
downs are according to UCR crane definition! 
(App. II). Crime volume statistics are rounded tc 
the nearest 10 for violent crime and the nearest 100 
for property crime. Percent changes and rate 
computed prior to rounding. 

Statistics are aggregated from individual state s 
tics as shown in Table 5. Crime statistics include 
estimated offense totals for agencies submitting less 
than 12 months of offense reports. Population 
statistics represent July 1, 1986, Bureau of the 
Census provisional estimates. The tabular break- 
downs are in accordance with UCR crime defini 
tions (App. II) and population classifications (App. 



Ill) 



are computed from 
Table 4. Populi 
ly 1, 1986, Bureau of 



General Comments 



Represents an estimation of national reported 
crime activity from 1977 to 1986. 



All law enforcement agencies submitting complete 
reports for 12 months in 1986. 



All university/college law enforcement agencies sub- 
mitting complete reports for 12 months in 



All law enforcement agencies submitting complete 
reports for 12 months in 1986. 



Regional offense distribute 
volume figures as shown 
distributions are based on 
the Census provisional 

The 1986 statistics are aggregated from individual 
state statistics as shown in Table 5. Crime statistics 
include estimated offense totals for agencies sub- 
mitting less than 12 months of offense reports for 
1985 and 1986. Population statistics represent 
July 1 provisional estimates for 1985 and 1986. The 
offense breakdowns are according to UCR 
definitions (App. II). 



Crime statistics include estimated offense totals for 
agencies submitting less than 12 months of offense 
reports. Population statistics represent July 1, 
1986, Bureau of the Census provisional estimates. 
Statistics under the heading "Area Actually Re- 
porting" represent reported offense totals for agen- 
cies submitting 12 months of offense reports and 
estimated totals for agencies submitting less than 
12 but more than 2 months of offense reports. The 
statistics under the heading "Estimated Totals' 
represent the above plus estimated offense totals for 
agencies having less than 3 months of offense 
reports. The offense breakdowns are according ' 
UCR definitions (App. II). 

"Cities and Towns" are defined to be agencies 
Population Groups I through V (App. Ill) The 
populations are July 1, 1986. estimates for each 
agency. 

The 1985 student enrollment figures, which are pro- 
vided by the U.S. Department of Education, are the 
most recent available. 



•Suburban Counties" are defined as the areas covered 
by noncity agencies within an MSA (App. Ill) 
Populat 
July 1, 1986. 



timation of national reported 



Represents the 1986 geographical distribution 
of estimated Crime Index offenses and popu- 
lation. 



Represents an estimation of reported crime 
activity for Index offenses at the: 

1. national level 

2. regional level 

3. division level 

4. state level 

Any comparison of UCR statistics should 
take into consideration demographic dif- 
ferences. 

Represents an estimation of reported crim< 
activity for Index offenses at the state level 
Any comparison of UCR statistics shoult 
take into consideration demographic differ 
ences. 



Represents reported crane activity of individua 
agencies in cities and towns 10,000 and ove 
in population. Any comparison of UCI 
statistics should take into consideratioi 
demographic differences. 

Represents reported crime from those individu 
al university/college law enforcement agen 
cies contributing to the UCR Program 
These agencies are listed alphabetically b 
state. Any comparison of these UCR statii 
tics should take into consideration size c 
enrollment, number of on-campus resident 
plus other demographic differences. 

Represents crime reported to individual la' 
enforcement agencies in suburban countie 
i.e., the individual sheriff's office, count 
police department, highway patrol, and/c 
state police. These figures do not represei 
the county totals since they exclude cil 
crime counts. Any comparison of UCI 
statistics should take into consideratio 
demographic differences. 



328 



"Rural Cou: 
(App. II 



Table Construction 
ies" are those outside MSAs and whose 
is are not covered by city police agencies 

Population classifications of i 
e based on July 1, 1986, estimates for 
agencies. 



2-year 



All law enforcement agencies submitting comple 
reports for 12 months in 1986. 



II law enforcement agencies submitting complete 
reports for at least 6 months in 1986. 



All law enforcement agencies submitting complet 
reports for at least 6 months in 1986. 



All law enforcement agencies in the UCR Program 
(including those submitting less than 12 months 
1986). 



All law enforcement agencies submitting completi 
reports for 12 months tn 1986. 



All law enforcement agencies submitting complett 
reports for 12 months in 1977 and 1986. 



All law enforcement agencies submitting complete 
reports for 12 months in 1986. 



All law enforcement agencies submitting completi 
reports for 12 months in 1986. 



The 1986 crime trend statistics 

sons based on 1986 reported crime activity. Only 
common reported months for individual agencies 
are included in 1986 trend calculations. Popuh 
tions represent July I, 1986, estimates for individu 
al agencies. The tabular breakdowns are accordi 
to UCR crime definitions (App. II) and population 
classifications (App. III). Note that "Suburban 
Nonsuburban Cities" are all municipal agencies 
other than central cities in MSAs 
The 1986 crime rates are the ratios of the aggregated 
1986 crime volumes and the aggregated 19i 
populations of the contributing agencies. Popul; 
Hon statistics represent July 1. 1986, estimates for 
individual agencies. The tabular breakdowns 
according to UCR crane definitions (App. II) 
population classifications (App. III). Note that 
"Suburban and Nonsuburban Cities' 
nicipal agencies other than central cities in MSAs. 
Offense total and value lost total are computed for all 
Index offense categories other than aggravated 
assault. Percent distribution is derived bas 
offense total with each Index offense. Trend 
tics are derived based on agencies with at least 6 
common months complete for 1985 and 1986. 
The 1986 clearance rates are based on offense anc 
clearance volume totals of the contributing agen 
cies for 1986. Population statistics represent July 1 
estimates for individual agencies. The tabular 
breakdowns are according to UCR crime defini- 
tions (App. II) and population classifications (App 
III). 
The arrest totals presented are national estimate! 
based on the arrest statistics of all law enforcemenl 
agencies in the UCR Program (including those 
submitting less than 12 months). The "Total 
Estimated Arrests" statistic is the sum of estimated 
arrest volumes for each of the 29 offenses. Each 
individual arrest total is the sum of the estimated 
volumes within each of the eight population groups 
(App. III). Each group's estimate is the reported 
volume (as shown in Table 26) divided by the 
percent of total group population reporting (ac 
cording to July 1, 1986, estimates). 
The 1986 arrest rates are the ratios, per 100,000 
inhabitants, of the aggregated 1986 reported 
statistics and population. The popul; 
represent the July 1, 1986, estimates for individual 
agencies. The tabular breakdowns are according tc 
UCR crane definitions (App. Ill and populatior 
classifications/geographical configuration (App. 
Ill) 
The arrest trends are the percentage differences 
between 1977 and 1986 arrest volumes aggregated 
from all common agencies. Population 
represent July 1, 1986, estimates. 
The arrest trends are the percentage differences 
between 1982 and 1986 arrest volumes aggregated 
from common agencies. Population statistics repre- 
sent July 1, 1986, estimates. 
The arrest trends are 2-year comparisons between 
1985 and 1986 arrest volumes aggregated from 
common agencies. Population statistics represent 
July 1, 1986, estimates. 



Represents crime reported to individual rural 
county law enforcement agencies covering 
populations 25,000 and over, i.e., the indi- 
vidual sheriffs office, county police depart- 
ment, highway patrol, and/or state police. 
These figures do not represent the county 
totals since they exclude city crime counts. 
Any comparison of UCR statistics should 
take into consideration demographic differ- 
ences. 

Slight decrease in national coverage for Table 
13 due to editing procedure and lower 
submission rate. 



Slight decrease in national coverage for Table 
17 due to editing procedure and lower 
submission rate. 



Aggravated assault is excluded from Table 18. 
For UCR Program purposes, the taking of 
money or property in connection with an 
assault is reported as a robbery. 



Slight decrease in coverage for Tables 38 and 39 
due to editing procedure and lower submis- 
sion of race and ethnic origin data. 



54, 55 



All city law enforcement agencies submitting complete 
reports for 12 months in 1985 and 1986. 



All suburban county law enforcement agencies submi 
ting complete reports for 12 months in 1985 and 
1986. 



All suburban county law enforcement agencies submit 
ting complete reports for 12 months in 1986. 

All rural county law enforcement agencies submitting 
complete reports for 12 months in 1985 and 1986 



All rural county law enforcement agencies submitting 
complete reports for 12 months in 1986. 



All suburban area law enforcement agencies submitting 
complete reports for 12 months in 1985 and 



All suburban area law enforcement agencies submitting 
complete reports for 12 months in 1986. 



All law enforcement agencies submitting complete 
reports for 12 months in 1986. 



All law enforcement agencies submitting complete 
reports for 12 months in 1986. 



(3) 
Table Construction 



The 1986 city arrest trends represent the percentage 
differences between 1985 and 1986 arrest volumes 
aggregated from common city agencies. "City 
Agencies" are defined to be all agencies withir 
Population Groups I-VI (App. III). 

"City Agencies" are defined as agencies within Popu 
lation Groups 1-VI (App III). 

The 1986 suburban county arrest trends represent 
percentage differences between 1985 and 1986 
volumes aggregated from contributing agencies 
"Suburban Counties" are defined as the areas 
covered by noncity agencies within an MSA (App. 
III). 

"Suburban Counties" are defined as the areas covered 
by noncity agencies within an MSA (App. Ill), 

The 1986 rural county arrest trends represent percent 
age differences between 1985 and 1986 volume 
aggregated from contributing agencies. "Rural 
Counties" are defined as noncity agencies outside 
MSAs (App. III). 

"Rural Counties" are defined as noncity agencies 
outside MSAs (App. III). 

The 1986 suburban area arrest trends represent per 
centage differences between 1985 and 1986 aires 
volumes aggregated from contributing agencies 
"Suburban Area" is defined as cities with fewer 
than 50,000 
MSAs (App. HI). 

"Suburban Area" is defined as cities with fewer than 
50,000 inhabitants and all counties within MSAs 
(App. III). 

Arrest totals are aggregated for individual agencies 
within each state. Population figures represent 
July 1 provisional estimates for 1986. The tabular 
breakdowns are according to UCR crime defim 
tions (App. II). 

Population statistics represent July 1, 1986, 

for individual agencies. See Appendix III for 
definitions of the population classifications pre 
sen ted. 



and all counties within 



Slight decrease in coverage for Tables 45 and 46 
due to editing procedure and lower submis- 
sion of race and ethnic origin data. 



Slight decrease in coverage for Tables 52 and 53 
due to editing procedure and lower submis- 



Slight decrease in coverage for Tables 59 and « 
due to editing procedure and lower submis 
sion of race and ethnic origin data. 



Slight decrease in coverage for Tables 66 and 6 
due to editing procedure and lower submis 
sion of race and ethnic origin data. 

Any comparison of statistics should take int 
consideration variances in arrest practice 
particularly for Part II crimes. 

Data furnished are based upon individual stal 
age definitions for juveniles. 



APPENDIX II 
OFFENSES IN UNIFORM CRIME REPORTING 



Offenses in Uniform Crime Reporting are divided into 
vo groupings, Part I and Part II. Information on the 
jlume of Part I offenses known to law enforcement, those 
eared by arrest or exceptional means, and the number of 
:rsons arrested is reported monthly. Only arrest data are 
ported for Part II offenses. 

The Part I offenses are as follows: 

Criminal homicide.- a. Murder and nonnegligent 
anslaughter: the willful (nonnegligent) killing of one 
jman being by another. Deaths caused by negligence, 
tempts to kill, assaults to kill, suicides, accidental deaths, 
id justifiable homicides are excluded. Justifiable homicides 
•e limited to: (1) the killing of a felon by a law enforcement 
ficer in the line of duty; and (2) the killing of a felon by a 
•ivate citizen, b. Manslaughter by negligence: the killing of 
lother person through gross negligence. Traffic fatalities 
e excluded. While manslaughter by negligence is a Part I 
ime, it is not included in the Crime Index. 

Forcible rape.- The carnal knowledge of a female forcibly 
id against her will. Included are rapes by force and 
tempts or assaults to rape. Statutory offenses (no force 
led- victim under age of consent) are excluded. 

Robbery.- The taking or attempting to take anything of 
ilue from the care, custody, or control of a person or 
srsons by force or threat of force or violence and/or by 
ltting the victim in fear. 

Aggravated assault.- An unlawful attack by one person 
)on another for the purpose of inflicting severe or 
;gravated bodily injury. This type of assault usually is 
:companied by the use of a weapon or by means likely to 
■oduce death or great bodily harm. Simple assaults are 
;cluded. 

Burglary-breaking or entering.- The unlawful entry of a 
ructure to commit a felony or a theft. Attempted forcible 
itry is included. 

Larceny-theft (except motor vehicle theft).- The unlawful 
king, carrying, leading, or riding away of property from 
e possession or constructive possession of another, 
samples are thefts of bicycles or automobile accessories, 
loplifting, pocket-picking, or the stealing of any property 
■ article which is not taken by force and violence or by 
aud. Attempted larcenies are included. Embezzlement, 
:on" games, forgery, worthless checks, etc., are excluded. 

Motor vehicle theft.- The theft or attempted theft of a 
otor vehicle. A motor vehicle is self-propelled and runs on 
e surface and not on rails. Specifically excluded from this 
itegory are motorboats, construction equipment, airplanes, 
td farming equipment. 



Arson.- Any willful or malicious burning or attempt to 
burn, with or without intent to defraud, a dwelling house, 
public building, motor vehicle or aircraft, personal property 
of another, etc. 

The Part II offenses are: 

Other assaults (simple).- Assaults and attempted assaults 
where no weapon is used and which do not result in serious 
or aggravated injury to the victim. 

Forgery and counterfeiting.- Making, altering, uttering, 
or possessing, with intent to defraud, anything false in the 
semblance of that which is true. Attempts are included. 

Fraud.- Fraudulent conversion and obtaining money or 
property by false pretenses. Included are confidence games 
and bad checks, except forgeries and counterfeiting. 

Embezzlement.- Misappropriation or misapplication of 
money or property entrusted to one's care, custody, or 
control. 

Stolen property; buying, receiving, possessing.- Buying, 
receiving, and possessing stolen property, including 
attempts. 

Vandalism.- Willful or malicious destruction, injury, 
disfigurement, or defacement of any public or private 
property, real or personal, without consent of the owner or 
persons having custody or control. 

Weapons; carrying, possessing, etc.- All violations of 
regulations or statutes controlling the carrying, using, 
possessing, furnishing, and manufacturing of deadly 
weapons or silencers. Included are attempts. 

Prostitution and commercialized vice.- Sex offenses of a 
commercialized nature, such as prostitution, keeping a 
bawdy house, procuring, or transporting women for 
immoral purposes. Attempts are included. 

Sex offenses (except forcible rape, prostitution, and 
commercialized vice). - Statutory rape and offenses against 
chastity, common decency, morals, and the like. Attempts 
are included. 

Drug abuse violations.- State and local offenses relating 
to the unlawful possession, sale, use, growing, and 
manufacturing of narcotic drugs. 

Gambling.- Promoting, permitting, or engaging in illegal 
gambling. 

Offenses against the family and children.- Nonsupport, 
neglect, desertion, or abuse of family and children. 

Driving under the influence.- Driving or operating any 
vehicle or common carrier while drunk or under the 
influence of liquor or narcotics. 



331 



Liquor laws.- State or local liquor law violations, except Suspicion.- No specific offense; suspect released without 

"drunkenness" and "driving under the influence." Federal formal charges being placed, 
violations are excluded. 

_ . „ cc , t . j , Curfew and loitering laws.- (persons under age 

Drunkenness.- Offenses relating to drunkenness or vr ° 

intoxication. Excluded is "driving under the influence." 18)- Offenses relating to violations of local curfew or 

loitering ordinances where such laws exist. 
Disorderly conduct.- Breach of the peace. 

Vagrancy- Vagabondage, begging, loitering, etc. Runaways.- (persons under age 18).- Limited to juveniles 

All other offenses.- All violations of state or local laws, taken int0 Protective custody under provisions of local 

except those listed above and traffic offenses. statutes. 



332 



APPENDIX III 
UNIFORM CRIME REPORTING AREA DEFINITIONS 



Community Types 

Uniform Crime Reporting data are often presented using 
hree community-type aggregations. These are Metropolitan 
Itatistical Areas (MSAs), other cities, and rural counties. 

The MSA concept was developed to facilitate the analysis 
nd dissemination of uniform statistical information on 
letropolitan areas. The primary objective in establishing 
tandard definitions of these areas was to make it possible 
or Federal agencies to utilize the same boundaries when 
iublishing statistical data. Each MSA is an integrated 
conomic and social unit with a recognized large population 
:ucleus. Detailed criteria followed in establishing and 
efining MSAs can be found in the U. S. Department of 
Commerce publication, State Metropolitan Area Data Book, 
986 edition. 

An MSA includes a central city of at least 50,000 
opulation or an urbanized area of at least 50,000. The 
ounty containing the central city and contiguous counties 
aving strong economic and social relationships to the 
entral city and county are also included. Counties in MSAs 
re designated suburban in UCR. An MSA may cross state 



New England MSAs are comprised of cities and towns 
istead of counties. In this publication's tabular 
resentations, New England cities and towns are assigned to 
tie proper MSA. However, some counties have both 
uburban and rural portions. Data for state police and 
heriffs in those jurisdictions are included in statistics for 
tie rural area. 

MSAs made up approximately 76 percent of the total 
Jnited States population in 1986. Some presentations in this 
ook refer to "suburban area." A suburban area includes 
ities with less than 50,000 inhabitants in addition to 
ounties (unincorporated areas) within the MSA. The 
entral cities are, of course, excluded. 

"Other cities," most of which are incorporated, are those 
utside MSAs. They comprised 10 percent of the 1986 
opulation of the United States. 

Rural counties, like "other cities," are outside MSAs. 
Covering areas not under the jurisdiction of city police 
epartments, rural county law enforcement agencies offered 
srvice to 14 percent of the national population in 1986. 

The following diagram illustrates the aforementioned 
iscussion of the community types. 





MSA 


NON-MSA 


CITIES 


CENTRAL CITIES 
50,000 AND OVER 


OTHER 
CITIES 


SUBURBAN 
CITIES 


COUNTIES 

(Unincorporated area) 


SUBURBAN 
COUNTIES 


RURAL 

COUNTIES 



Population Groups 

The population group classifications used by the UCR 
Program are as follows: 





Political 


Population 


Population Group 


Label 


Range 


I 


City 


250,000 and over 


II 


City 


100,000 to 249,999 


III 


City 


50,000 to 99,999 


IV 


City 


25,000 to 49,999 


V 


City 


10,000 to 24,999 


VI 


City 


Less than 10,000 


VIII (Rural County) 


County 


N/A 


IX (Suburban County) 


County 


N/A 



The major source of UCR data is the individual law 
enforcement agency. The number of agencies included in 
each population group will vary slightly from year to year 
due to population growth, geopolitical consolidation, 
municipal incorporation, etc. Population figures for 
individual jurisdictions are estimated by the UCR Program 
in noncensus years. To obtain the 1986 figures, for example, 
state growth rates, as supplied by the Bureau of the Census, 
were applied to every jurisdiction within each state. The 
base figures were 1984 Bureau of the Census estimates for 
all counties and cities. 

The following table shows the number of UCR 
contributing agencies within each population group for 
1986. 



Population 


Number of 


Population 


Group 


Agencies 


Covered 


I 


61 


44,077,000 


II 


126 


18,385,000 


Ill 


309 


21,110,000 


IV 


679 


23,496,000 


V 


1,691 


26,550,000 


VI 


7,775 


25,363,000 


VIII (Rural County) 


3,714 


34,125,000 


IX (Suburban County) 


1,668 


47,973,000 


Total 


16,023 


241,077,000' 



Because of rounding, the population covered does not add to 



333 



Regions and Divisions 

As shown in the accompanying map, the United States is 
comprised of four regions: the Northeastern States, the 
Midwestern States, the Southern States, and the Western 
States. These regions are further divided into nine divisions. 
The following table delineates the regional, divisional, and 
state configuration of the country. 

NORTHEASTERN STATES 



SOUTHERN STATES 



New England 
Connecticut 
Maine 

Massachusetts 
New Hampshire 
Rhode Island 
Vermont 



Middle Atlantic 
New Jersey 
New York 
Pennsylvania 



MIDWESTERN STATES 



East North Central 
Illinois 
Indiana 
Michigan 
Ohio 
Wisconsin 



West North Central 
Iowa 
Kansas 
Minnesota 
Missouri 
Nebraska 
North Dakota 
South Dakota 



South Atlantic 


East South Central 


Delaware 


Alabama 


District of Columbia 


Kentucky 


Florida 


Mississippi 


Georgia 


Tennessee 


Maryland 


West South Central 


North Carolina 


Arkansas 


South Carolina 


Louisiana 


Virginia 


Oklahoma 


West Virginia 


Texas 


WESTERN STATES 


Mountain 


Pacific 


Arizona 


Alaska 


Colorado 


California 


Idaho 


Hawaii 


Montana 


Oregon 


Nevada 


Washington 


New Mexico 




Utah 




Wyoming 





REGIONS and DIVISIONS of the UNITED STATES 




APPENDIX IV 

INDEX OF CRIME, METROPOLITAN 

STATISTICAL AREAS, 1986 









Modified 






Murder 
















Metropolitan Statistical Area 


Population 


3f 


total 1 


cnW 


P c3e" y 


and non- 
negligent 

sl.imrhlci 


FO ra*' e 


Robbery 


Aggra- 


Burglary 


theft 


theft 


Arson' 


kbilene, Tx. M.S.A 


128,446 


























(Includes Taylor County.) 




























City of Abilene 


112,848 


7,435 




506 


6,929 


12 


48 


176 


270 


2,351 


4.225 


353 




Total area actually reporting 


100.0% 


7.829 




543 


7,286 


14 


52 


183 


294 


2,540 


4.370 


376 




Rate per 100,000 inhabitants 




6,095.2 




422.7 


5,672.4 


10.9 


40.5 


142.5 


2289 


1.977.5 


3.402.2 


292.7 




Lkron, Oh. M.S.A 


650,132 


























(Includes Portage and Summit 




























Counties.) 




























City of Akron 


226,877 


17,598 




2,445 


15,153 


25 


163 


676 


1.581 


3.295 


10,571 


1,287 




Total area actually reporting 


81.1% 


28.643 




3,314 


25,329 


28 


229 


835 


2.222 


5.615 


17,892 


1.822 




Estimated total 


100.0% 


31.955 




3,563 


28,392 


31 


253 


888 


2,391 


6.379 


19,970 


2,043 




Rate per 100.000 inhabitants 




4.915.2 




548.0 


4,367.1 


4.8 


38.9 


136.6 


367.8 


981.2 


3,071.7 


314.2 




lbany, Ga. M.S.A 


122,010 


























(Includes Dougherty and Lee 




























Counties.) 




























City of Albany 


88.864 


5,302 




746 


4,556 












2,482 
2,783 






Total area actually reporting 


100.0% 






816 


5,099 


16 


63 


302 


435 


2^108 


208 




Rate per 100,000 inhabitants 




4,848.0 




668.8 


4,179.2 


13.1 


51.6 


247.5 


356.5 


1,727.7 


2,281.0 


170.5 




Ibanv-Schenectady-Tnn, N.Y. 




























1.S.A 


844,679 


























(Includes Albany, Greene, 


























Montgomery, Rensselaer, Saratoga and 




























Schenectady Counties.) 




























City of: 




























Albany ...... 


99,657 


5,901 




739 


5,162 


8 


71 


238 


422 


1.904 


2.956 


302 




Schenectady 


68,122 


3,281 




206 


3,075 


2 


15 


121 


68 


1,249 


1,665 


161 




Troy 


55,443 


3,228 




212 


3.016 


3 


21 


101 


87 


858 


2,005 


153 




Total area actually reporting 


98.7% 


29.702 




2.214 


27,488 


20 


168 


583 


1.443 


8.076 


18,236 


1.176 




Estimated total 


100.0% 


30,083 




2,243 


27,840 


20 


169 


593 


1.461 


8,156 


18,483 


1,201 




Rate per 100.000 inhabitants 




3,561.5 




265.5 


3,295.9 


2.4 


20.0 


70.2 


173.0 


965.6 


2.188.2 


142.2 




Jbuquerque, N.M. M.S.A 


466,852 


























(Includes Bernalillo County.) 




























City of Albuquerque 


364,196 


35.516 




4,292 


31,224 


49 


247 


1,248 


2,748 


9,746 


19.490 


1,988 




Total area actually reporting 


100.0% 


41,848 




5.053 


36,795 


65 


299 


1,382 


3.307 


12,471 


21,988 


2,336 




Rate per 100.000 inhabitants . 




8,963.9 




1,082.4 


7,881.5 


13.9 


64.0 


296.0 


708.4 


2.671.3 


4,709.8 


500.4 




lexandria, La. M.S.A 


140,111 


























(Includes Rapides Parish.) 




























City of Alexandria 


52.985 


5.203 




469 


4.734 


20 


28 


86 


335 


1.312 


3.222 


200 




Total area actually reporting 


99.6% 


7,387 




638 


6,749 


27 


37 


102 


472 


1.859 


4.597 


293 




Estimated total 


100.0% 


7,418 




641 


6,777 


27 


37 


103 


474 


1.865 


4,618 


294 




Rate per 100,000 inhabitants 




5.294.4 




457.5 


4,836.9 


19.3 


264 


73 5 


338.3 


1,331.1 


3,296.0 


209.8 




llentown-Bethlehem, Pa.-N.J. 




























I.S.A 


647,361 


























(Includes Carbon, Lehigh, and 


























Northampton Counties, Pa., and 




























Warren Couaty, N.J.) 




























City of: 




























Allentown 


103,801 


5,915 




460 


5,455 


10 


41 


231 


178 


1,595 


3,591 


269 




Bethlehem 


69,901 


2.506 




179 


2,327 


4 


18 


61 


96 


592 


1.647 


88 




Total area actually reporting 


100.0% 


18,795 




1,247 


17,548 


27 


120 


400 


700 


4,689 


11,981 


878 




Rate per 100.000 inhabitants 




2,903.3 




192.6 


2.710.7 


4.2 


18.5 


61.8 


108.1 


724.3 


1,850.7 


135.6 




Jtoona, Pa. M.S.A 


134,269 


























(Includes Blair County.) 




























City of Altoona 


54,544 


1,817 




108 


1.709 




12 


35 


61 


586 


1,019 


104 






97.3% 


3,554 




197 


3,357 


1 


21 


51 


124 


928 


2.238 


191 




Estimated total 


100.0% 


3,647 




204 


3,443 


1 


21 


53 


129 


947 


2.297 


199 




Rate per 100,000 inhabitants 




2,716.2 




151.9 


2,564.3 


,7 


15.6 


39.5 


96.1 


705.3 


1.710.7 


148.2 




marillo, Tx. M.S.A 


198,503 


























(Includes Potter and Randall 




























Counties.) 




























City of Amanllo 


169,927 


13,865 




887 


12,978 


21 


81 


275 


510 


3,653 


8,656 


669 




Total area actually reporting 


100.0% 


14,675 




928 


1 3,747 


23 


87 


278 


540 


3.891 


9,130 


726 




Rate per 100,000 inhabitants 




7,392.8 




467.5 


6,925.3 


11.6 


43.8 


140.0 


272.0 


1.960.2 


4,599.4 


365.7 





APPENDIX IV — Index of Crime, Metropolitan Statistical Areas, 1986 — Continued 
















Metropolitan Statistical Area 


Population 


S£ 


Modified 
Index 


Violent 


•a* 


negligent 
slaughter 


Forcible 


Robbery 


Aggra- 


Burglary 


theft 


theft 


W 


Anchorage, Ak. M.S.A 


238,235 


























{Includes Anchorage Borough.) 




























Total area actually reporting 


100.0% 


16,479 




1.198 


15,281 


17 


167 


330 


684 


2.824 


11.071 


1,386 




Rate per 100,000 inhabitants 




6,917.1 




502.9 


6,414.3 


7.1 


70.1 


138.5 


287.1 


1,185.4 


4.647.1 


581.8 




Anaheim-Santa Ana, Ca. M.S.A 


2,185,816 


























(Includes Orange County.) 




























City of: 






























245.897 


17.944 




1.357 


16,587 


11 


111 


695 


540 


5.352 


9.193 


2.042 




Santa Ana 


237,356 


22,500 




1.723 


20,777 


32 


77 


1,005 


609 


4.767 


13,028 


2.982 




Total area actually reporting .. 


100.0% 


131,835 




10,281 


121,554 


109 


604 


4.056 


5.512 


34,687 


72,927 


13.940 




Rate per 100.000 inhabitants 




6.031.4 




470.4 


5,561.0 


5.0 


27.6 


185.6 


252.2 


1,586.9 


3,336.4 


637.7 




Anderson, S.C. M.S.A 


141,894 


























(Includes Anderson County.) 




























City of Anderson 


27,839 


2,304 




271 


2.033 


5 


16 


42 


208 


582 


1,338 


113 




Total area actually reporting . 


99.3% 


6.783 




653 


6.130 


15 


43 


84 


511 


2,092 


3.653 


385 




Estimated total 


100.0% 


6,853 




661 


6,192 


15 


43 


86 


517 


2.107 


3.696 


389 




Rate per 100,000 inhabitants.. 




4,829.7 




465.8 


4,363.8 


10.6 


30.3 


60.6 


364.4 


1.484.9 


2.604.8 


274.1 




Ann Arbor, Mi. M.S.A 


263,903 


























(Includes Washtenaw County.) 




























City of Ann Arbor 


108.461 


10.619 




749 


9,870 


3 


44 


217 


485 


1,753 


7.534 


583 




Total area actually reporting 


99.3% 


21,187 




2,187 


19,000 


14 


228 


551 


1.394 


3.810 


13.747 


1.443 




Estimated total 


100.0% 


21,294 




2,197 


19,097 


14 


229 


554 


1.400 


3.831 


13,810 


1.456 




Rate per 100,000 inhabitants 




8,068.9 




832.5 


7,236.4 


5.3 


86.8 


209.9 


530.5 


1,451.7 


5.233.0 


551.7 




Anniston, Al. M.S.A 


127,714 


























(Includes Calhoun County.) 




























City of Anniston .. 


30.510 


3.993 




834 


3,159 


8 


29 


92 


705 


914 


2,089 


156 




Total area actually reporting 


100.0% 


5,856 




1,154 


4,702 


16 


42 


110 


986 


1,364 


3,102 


236 




Rate per 100.000 inhabitants 




4,585.2 




903.6 


3.681.7 


12.5 


32.9 


86.1 


772.0 


1.068.0 


2.428.9 


184.8 




Appleton-Oshkosh-Neenah, Wi. 




























M.S.A 


298,836 


























(Includes Calumet, Outagamie and 




























Winnebago Counties.) 




























City of: 






























62,598 


2,388 




35 


2,353 


3 


5 




23 


472 


1.825 


56 




Oshkosh 


50,349 


3,088 




58 


3,030 




5 


11 


42 


443 


2,520 


67 




Neenah 


22,636 


1,000 




10 


990 


1 


1 


4 


4 


160 


805 


25 




Total area actually reporting 


100.0% 


10,428 




236 


10,192 


4 


13 


25 


194 


1.842 


8,081 


269 




Rate per 100,000 inhabitants 




3,489.5 




79.0 


3,410.6 


1.3 


4.4 


8.4 


64.9 


616.4 


2.704.2 


90.0 




Asheville, N.C. M.S.A 


170,055 


























(Includes Buncombe County.) 




























City of Asheville 


60,148 


4,812 




360 


4,452 




33 


100 




970 


3,219 


263 




Total area actually reporting 


100.0% 


7,440 




542 


6,898 


13 


53 


115 


361 


1.903 


4,594 


401 




Rate per 100,000 inhabitants 




4,375.1 




318.7 


4,056.3 


7.6 


31.2 


67.6 


212.3 


1,119.0 


2.701.5 


235.8 




Athens, Ga. M.S.A 


145,621 


























(Includes Clarke. Jackson, Madison 




























and Oconee Counties.) 




























City of Athens 


44,495 


3.261 




377 


2.884 


2 


40 


80 


255 


809 


1.904 


171 




Total area actually reporting 


98.2% 


7,073 




641 


6,432 


10 


67 


116 


448 


1,820 


4,217 


395 




Estimated total 


100.0% 


7,262 




656 


6,606 


10 


68 


121 


457 


1.865 


4,331 


410 




Rate per 100,000 inhabitants 




4,986.9 




450.5 


4,536.4 


6.9 


46.7 


83.1 


313.8 


1.280.7 


2.974.2 


281.6 




Atlanta, Ga. M.S.A 


2,488,984 


























(Includes Barrow, Butts. Cherokee. 




























Clayton, Cobb, Coweta, De Kalb, 




























Douglas, Fayette, Forsyth, Fulton, 




























Gwinnett, Henry. Newton. Paulding, 




























Rockdale. Spalding and Walton 




























Counties.) 




























City of Atlanta 


445,617 


63,068 




13,162 


49,906 


186 


681 


5,428 


6,867 


13.454 


30.380 


6,072 




Total area actually reporting 


99.1% 


183,779 




21,294 


162.485 


328 


1,415 


8.950 


10.601 


45.539 


98.929 


18,017 




Estimated total 


100.0% 


185,329 




21,422 


163,907 


330 


1,426 


8.994 


10,672 


45.908 


99.860 


18,139 




Rate per 100,000 inhabitants 




7,446.0 




860.7 


6,585.3 


13.3 


57.3 


361.4 


428.8 


1.844.4 


4.012.1 


728.8 




Atlantic City, N.J. M.S.A 


294,438 


























(Includes Atlantic and Cape May 




























Counties.) 




























City of Atlantic City 


37,284 


14,885 




1,088 


13,797 


7 


49 


550 


482 


1.695 


11,503 


599 




Total area actually reporting 


100.0% 


30,434 




2,092 


28,342 


24 


160 


816 


1.092 


5,683 


21.211 


1.448 




Rate per 100,000 inhabitants 




10,336.3 




710.5 


9,625.8 


8.2 


54.3 


277.1 


370.9 


1.930.1 


7.203.9 


491.8 




Augusta, Ga.-S.C. M.S.A 


382,729 


























(Includes Columbia, McDufTie and 




























Richmond Counties. Ga.. and Aiken 




























County, S.C.) 




























City of Augusta 


48,133 


3.368 




329 


3.039 


10 


28 


194 


97 


1.236 


1.632 


171 




Total area actually reporting 


96.7% 


17,476 




1,945 


15,531 


33 


147 


578 


1,187 


5,548 


8.945 


1,038 




Estimated total 


100.0% 


18.089 




1,986 


16,103 


34 


151 


595 


1,206 


5,725 


9.280 


1,098 




Rate per 100,000 inhabitants 




4,726.3 




518.9 


4,207.4 


8.9 


39.5 


155.5 


315.1 


1,495.8 


2.424.7 


286.9 





See footnotes at end of table. 



PPENDIX IV — Index of Crime, Metropolitan Statistical Areas, 1986 — Continued 
















Metropolitan Statistical Area 


Population 


Index 


Modified 
Index 


Violent 


w 


Murder 
negligent 
slaughter 


rape 


Robbery 


Aggra- 


Burglary 


theft 


theft 


ArW 


urora-Elgin, 11. M.S.A.' 


332,253 


























(Includes Kane and Kendal] 




























Counties.) 




























City of: 




























Aurora* 


86,040 








5.174 


9 




172 


307 


1.541 


3.387 


246 




Elgin 4 


67,835 








4,154 


5 




97 


162 


1.315 


2.615 


224 




Total area actually reporting 


99.8% 








15,042 


19 




292 


674 


4,415 


9.919 


708 




Estimated total 


100.0% 








15,064 


19 




293 


675 


4.420 


9.934 


710 




Rate per 100.000 inhabitants 












5.7 




88.2 


203.2 


1.330.3 


2,989.9 


213.7 




ustin. Tx. M.S.A 


673,436 


























(Includes Hays, Travis, and 




























Williamson Counties.) 




























City of Austin 


414,220 


45.856 












1,124 
1,257 


1.107 
2.049 


12,454 
16,594 


28,469 
37.252 


2.266 
2,890 




Total area actually reporting 


100.0% 


60.616 




3,880 


56J36 


62 


512 




Rate per 100.000 inhabitants 




9,001.0 




576.1 


8,424.9 


9.2 


76.0 


186.7 


304,3 


2,464.1 


5,531.6 


429.1 




akersfield, Ca. M.S.A 


486,886 


























(Includes Kem County.) 




























City of Bakersfield 


137,114 


14,634 




1,629 


13.005 


22 


93 


732 


782 


4.453 


7,489 


1.063 




Total area actually reporting 


100.0% 


36,971 




4.451 


32,520 


54 


282 


1.331 


2,784 


10,952 


19,131 


2,437 




Rate per 100.000 inhabitants 




7,593.4 




914.2 


6,679.2 


11.1 


57.9 


273.4 


571.8 


2.249.4 


3,929.3 


500.5 




altimore. Md. M.S.A 


2,303,385 


























(Includes Baltimore City and Anne 




























Arundel. Baltimore. Carroll. Harford. 




























Howard and Queen Anne's Counties ) 




























City of Baltimore 


783.542 


66.273 




15,229 


51,044 


240 


660 


7,989 


6.340 


14.321 


29,850 


6,873 




Total area actually reporting 


100.0% 


147,850 




25.375 


122.475 


303 


1,124 


10,011 


13,937 


33,192 


75,941 


13,342 




Rate per 100.000 inhabitants 




6.418.8 




1,101 6 


5,317.2 


13.2 


48.8 


434.6 


605.1 


1,441.0 


3,296.9 


579.2 




mgor, Me. M.S.A 


66,545 


























(Includes part of Penobscot and 




























aldo Counties.) 






























31,293 


2,121 




77 


2,044 




7 


27 












Total area actually reporting 


100.0% 


3,069 




96 


2,973 


2 




30 


55 


631 


2|209 


133 




Rate per 100.000 inhabitants 




4,611.9 




144.3 


4,467.7 


3.0 




45.1 


82.7 


948.2 


3,319.6 


199.9 




aton Rouge, La. M.S.A 


543,151 


























(Includes Ascension. East Baton 




























Rouge, Livingston, and West Baton 




























Rouge Parishes.) 




























City of Baton Rouge 


246,388 


35,642 




5,091 


30,551 


51 


181 


1,224 


3,635 


9.610 


18,775 


2,166 




Total area actually reporting 


95.8% 


49,717 




6,395 


43,322 


70 


250 


1,454 


4,621 


13,378 


27,185 


2,759 




Estimated total 


100.0% 


51,176 




6,536 


44,640 


71 


256 


1,479 


4,730 


13,664 


28,155 


2,821 




Rate per 100.000 inhabitants 




9,422.1 




1,203.3 


8,218.7 


13.1 


47.1 


272.3 


870.8 


2,515.7 


5,183.6 


519.4 




ittle Creek, Mi. M.S.A 


138,807 


























(Includes Calhoun County.) 




























City of Battle Creek 


54,747 


5.466 




634 


4,832 


8 


52 


162 


412 


1,327 


3,377 


128 




Total area actually reporting 


100.0% 


8,628 




953 


7,675 


14 


86 


216 


637 


2,139 


5.292 


244 




Rate per 100.000 inhabitants 




6.215.8 




686.6 


5,529.3 


10.1 


62.0 


155.6 


458.9 


1,541.0 


3.812.5 


175.8 




eaumont-Port Arthur, Tx. M.S.A 


408,873 


























(Includes Hardin. Jefferson and 




























Orange Counties.) 




























City of: 




























Beaumont 


128,706 


10,892 




1,111 


9.781 


14 


105 


450 


542 


3,490 


5.736 


555 




Port Arthur 


66.872 


3,820 




408 


3,412 


16 


28 


130 


234 


1.124 


2.165 


123 




Total area actually reporting 


100.0% 


23,396 




2,127 


21,269 


45 


181 


753 


1.148 


7,421 


12.754 


1,094 




Rate per 100.000 inhabitants 




5,722.1 




520.2 


5,201.9 


11.0 


44.3 


184.2 


280.8 


1,815.0 


3.119.3 


267.6 




eaver County, Pa. M.S.A 


207,062 


























(Includes Beaver County ) 




























Total area actually reporting 


100.0% 


3.035 




252 


2.783 


3 


30 


42 


177 


752 


1,786 


245 




Rate per 100.000 inhabitants 




1,465.7 




121.7 


1,344.0 


1.4 


14.5 


20.3 


85.5 


363.2 


862.5 


118.3 




eUingham, Wa. M.S.A 


114,765 


























(Includes Whatcom County.) 




























City of Bellingham 


46,306 


4,272 




159 


4.113 




24 


30 


105 


818 


3,063 


232 




Total area actually reporting 


100.0% 


6,864 




274 


6,590 


1 


49 


35 


189 


1,632 


4.596 


362 




Rate per 100.000 inhabitants 




5,980.9 




238.7 


5,742.2 


.9 


42.7 


30.5 


164.7 


1,422.0 


4,004.7 


315.4 




enton Harbor, Mi. M.S.A 


164,223 


























(Includes Bernen County.) 




























City of Benton Harbor 


14.532 


2,607 




593 


2,014 


2 


43 


77 


471 


768 


1,162 


84 




Total area actually reporting 


100.0% 


11.297 




1,364 


9,933 


4 


164 


211 


985 


2.865 


6,658 


410 




Rate per 100,000 inhabitants 




6.879.1 




830.6 


6,048.5 


2.4 


99.9 


128.5 


599.8 


1,744.6 


4,054.2 


249.7 




ergen-I'assaic. N.J. M.S.A 


1,317,766 


























(Includes Bergen and Passaic 




























Counties.) 




























Total area actually reporting 


100.0% 


54,641 




4,705 


49,936 


39 


168 


2,256 


2.242 


10.421 


31.559 


7.956 




Rate per 100.000 inhabitants 




4,146.5 




357.0 


3,789.4 


3.0 


12.7 


171.2 


170.1 


790.8 


2,394.9 


603.7 




Uings, Mt. M.S.A 


118,076 


























(Includes Yellowstone County.) 




























City of Billings 


69,407 


6,166 




141 


6,025 


4 


17 


46 


74 


1.083 


4,707 


235 




Total area actually reporting 


100.0% 


7,597 




169 


7,428 


6 


23 


50 


90 


1389 


5.734 


305 




Rate per 100,000 inhabitants 




6,434.0 




143.1 


6,290.9 


5.1 


19.5 


42.3 


76.2 


1,176.4 


4,856.2 


258.3 





337 



APPENDIX IV — Index of Crime, Metropolitan Statistical Areas, 1986 — Continued 









M^d 






Murder 
















Metropolitan Statistical Area 


Population 


Index 


cote' 


■a? 


negligent 


Forcible 
rape 


Robbery 


Aggra- 


Burglary 


theft 


theft 


Arson' 








total 






slaughter 
















Binghamton, N.Y. M.S.A 


265,558 


























(Includes Broome and Tioga 




























Counties.) 




























City of Binghamton 


54.614 


2,466 




60 


2,406 


2 


12 


25 


21 


321 


2.002 


83 




Total area actually reporting 


99.3% 


7,167 




262 


6,905 


5 


41 


43 


173 


1.207 


5.462 


236 




Estimated total 


100.0% 


7,226 




266 


6,960 


5 


41 


44 


176 


1.220 


5.500 


240 




Rate per 100,000 inhabitants 




2.721.1 




100.2 


2.620.9 


1.9 


15.4 


16.6 


66.3 


459.4 


2.071.1 


90.4 




Birmingham, Al. M.S.A 


909,305 


























(Includes Blount, Jefferson. St. Clair, 




























Shelby and Walker Counties.) 




























City of Birmingham 


286,756 


28.466 




3.769 


24,697 


88 


325 


1,583 


1,773 


7,784 


13,405 


3,508 




Total area actually reporting 


98.1% 


49,711 




6.506 


43,205 


129 


434 


2.118 


3,825 


13.408 


24,642 


5,155 




Estimated total 


100.0% 


50,704 




6,646 


44,058 


131 


439 


2,141 


3,935 


13.631 


25,216 


5,211 




Rate per 100.000 inhabitants 




5,576.1 




730.9 


4,845.2 


14.4 


48.3 


235.5 


432.7 


1.499.1 


2,773.1 


573.1 




Bismarck, N.D. M.S.A 


84,515 


























(Includes Burleigh and Morton 




























Counties.) 




























City of Bismarck 


46,833 


2.416 




27 


2,389 




14 


3 


10 


345 


1,942 


102 




Total area actually reporting 


100.0% 


3,188 




65 


3.123 




19 


6 


40 


441 


2.543 


139 




Rate per 100,000 inhabitants 




3,772.1 




76.9 


3,695.2 




22.5 


7.1 


47.3 


521.8 


3,008.9 


164.5 




Bloomington. In. M.S.A 


100,967 


























(Includes Monroe County.) 




























City of Bloomington 


52,277 


1.372 




97 


1,275 


1 


4 


15 


77 


222 


962 


91 




Total area actually reporting 


100.0% 


3.636 




236 


3,400 


3 


11 


24 


198 


765 


2,443 


192 




Rate per 100,000 inhabitants 




3,601.2 




233.7 


3.367.4 


3.0 


10.9 


23.8 


196.1 


757.7 


2.419.6 


190.2 




Bloomington-Normal, 11. M.S.A. 4 


124,535 


























(Includes McLean County.) 




























City of: 




























Bloomington 4 


46,774 








2.858 






43 


163 


658 


2,099 


101 




Normal 4 


37.712 








1,299 






9 


50 


390 


871 


38 




Total area actually reporting 


100.0% 








5,081 


1 




55 


234 


1.373 


3,550 


158 




Rate per 100,000 inhabitants 










4,080.0 






44.2 


187.9 


1.102.5 


2.850.6 


126.9 




Boise, Id. M.S.A 


189,707 


























(Includes Ada County.) 




























City of Boise 


107.434 


7,559 




418 


7,141 




56 


56 


306 


2,055 


4.754 


332 




Total area actually reporting 


100.0% 


10,887 




617 


10,270 


5 


79 


67 


466 


2,958 


6,856 


456 




Rate per 100.000 inhabitants 




5,738.8 




325.2 


5,413.6 


2.6 


41.6 


35.3 


245.6 


1,559.2 


3,614.0 


240.4 




Boston, Ma. M.S.A 


2,848,226 


























(Includes part of Bristol, Essex, 




























Middlesex, Norfolk. Plymouth and 




























Worcester Counties, and all of Suffolk 




























County.) 




























City of Boston 


574.107 


69,007 




12.395 


56,612 


105 


516 


6,225 


5,549 


10,485 


26,553 


19,574 




Total area actually repomng 


89.4% 


141,087 




18,897 


122,190 


145 


863 


8,185 


9.704 


26,672 


62.226 


33,292 




Estimated total 


100.0% 


151,035 




19,628 


131,407 


150 


910 


8,364 


10,204 


29,042 


67,337 


35,028 




Rate per 100,000 inhabitants 




5,302.8 




689.1 


4,613.6 


5.3 


31.9 


293.7 


358.3 


1,019.7 


2,364.2 


1,229.8 




Boulder-Longmont, Co. M.S.A 


214,662 


























(Includes Boulder County.) 




























City of: 




























Boulder 


79.875 


6,466 




213 


6.253 




23 


56 


134 


1.272 


4.663 


318 




Longmont 


50,023 


3,475 




189 


3,286 


4 


11 


27 


147 


611 


2,559 


116 




Total area actually reporting 


100.0% 


14,178 




716 


13,462 


5 


80 


104 


527 


2.945 


9,905 


612 




Rate per 100.000 inhabitants 




6,604.8 




333.5 


6,271.3 


2.3 


37.3 


48.4 


245.5 


1.371.9 


4,614.2 


285.1 




Bradenton, Fl. M.S.A 


180,325 


























(Includes Manatee County.) 




























City of Bradenton 


37.897 


4,650 




571 


4,079 


3 


18 


176 


374 


1.400 


2.497 


182 




Total area actually reporting 


100.0% 


17,716 




2,084 


15,632 


10 


127 


430 


1,517 


4.989 


9.739 


904 




Rate per 100,000 inhabitants 




9,824.5 




1.155.7 


8,668.8 


5.5 


70.4 


238.5 


841.3 


2,766.7 


5,400.8 


501.3 




Brazoria, Tx. M.S.A 


194,185 


























(Includes Brazona County.) 




























Total area actually repotling 


100.0% 


7.913 




478 


7,435 


21 


52 


87 


318 


2.175 


4,743 


517 




Rate per 100,000 inhabitants 




4,075.0 




246.2 


3,828.8 


10.8 


26.8 


44.8 


163.8 


1.120.1 


2.442.5 


266.2 




Bremerton, Wa. M.S.A 


169,116 


























(Includes Kitsap County.) 




























City of Bremerton 


36.139 


2.300 




188 


2,112 


3 


45 


41 


99 


479 


1.545 


88 




Total area actually reporting 


100.0% 


6.702 




438 


6.264 


6 


85 


57 


290 


1.859 


4.157 


248 




Rate per 100,000 inhabitants 




3,963.0 




259.0 


3,704.0 


3.5 


50.3 


33.7 


171.5 


1,099.2 


2,458.1 


146.6 





See footnotes at end of table. 



338 



UTENDIX IV — Index of Crime, Metropolitan Statistical Areas, 1986 — Continued 
















Metropolitan Statistical Area 


Population 


3? 


Modified 
Index 


s» 


w 


negligent 

slaughter 


Forcible 
rape 


Robbery 


Aggra- 


Burglary 


U ET 


vehicle 
theft 


w 


ridgeport-Milford, Ct. M.S.A 


457,812 


























(Includes part of Fairfield and New 




























Haven Counties.) 




























City of: 




























Bridgeport 


143,708 


14,012 




1,987 


12,025 


40 


75 


1,043 


829 


3,313 


6,256 


2.456 




Milford 


52,069 


2.111 




79 


2,032 


1 


10 


34 


34 


405 


1.255 


372 




Total area actually reporting 


100.0% 


24,304 




2.439 


21,865 


46 


105 


1.201 


1.087 


5.789 


12,428 


3.648 




Rate per 100,000 inhabitants 




5.308.7 




532.8 


4,776.0 


10.0 


22.9 


262.3 


237.4 


1,264.5 


2.714.7 


796.8 




ristol, Ct. M.S.A 


69,775 


























(Includes part of Hartford and 




























Litchfield Counties.) 




























City of Bristol 


58,708 


1,724 




194 


1,530 




2 


22 












Total area actually reporting 


100.0% 


1,956 




208 


1,748 




5 


24 


179 


585 


1 065 


98 




Rate per 100,000 inhabitants 




2,803.3 




298.1 


2.505.2 




7.2 


34.4 


256.5 


838.4 


1,526.3 


140.5 




rockton, Ma. M.S.A 


196,477 


























(Includes part of Bristol, Norfolk and 




























Plymouth Counties.) 




























City of Brockton 


96,461 


9,000 




938 


8,062 


4 


59 


366 


509 


2,470 


3,299 


2,293 




Total area actually reporting 


83.0% 


10,213 




1,054 


9,159 


4 


67 


375 


608 


2,816 


3,840 


2,503 




Estimated total 


100.0% 


11,309 




1,135 


10,174 


5 


72 


395 


663 


3,077 


4,403 


2,694 




Rate per 100,000 inhabitants 




5,755.9 




577.7 


5.178.2 


2.5 


36.6 


201.0 


337.4 


1.566.1 


2,241.0 


1,371.2 




rownsville-Harlingen, Tx. M.S.A 


251,547 


























(Includes Cameron County.) 




























City of: 




























Brownsville 


98,783 


9.065 




1,301 


7.764 


6 


24 


155 


1,116 


2.098 


4,568 


1.098 




Harlingen 


54,112 


4,236 




204 


4,032 


1 




32 






2,767 
9,394 






Total area actually reporting 


100.0% 


17,694 




1,871 


15,823 


15 


45 


228 


1.583 


4,830 


1,599 




Rate per 1 00,000 inhabitants 




7,034.1 




743.8 


6,290.3 


6.0 


17.9 


90.6 


629.3 


1.920.1 


3,734.5 


635.7 




ryan-College Station, Tx. M.S.A 


122,445 


























(Includes Brazos County) 




























City of: 




























Bryan 


61,550 


4,550 




440 


4.110 


4 


46 


80 


310 


1,382 


2,522 


206 




College Station 


47,741 


3,066 




129 


2.937 




12 


30 


87 


535 


2,261 


141 




Total area actually reporting 


100.0% 


9,103 




617 


8,486 


7 


60 


115 


435 


2,192 


5.886 


408 




Rate per 100,000 inhabitants 




7,434.4 




503.9 


6,930.5 


5.7 


49.0 


93.9 


355.3 


1,790.2 


4,807.1 


333.2 




uffaio, N.Y. M.S.A 


988,343 


























(Includes Erie County.) 




























City of Buffalo 


339,685 






3,755 
5.682 


21.134 
39,476 






1,533 
1,753 


1,906 
3,554 


6,729 
11,078 


11.303 
24,019 


3,102 
4,379 




Total area actually reporting 


98.4% 


4s!l58 




42 


333 




Estimated total 


100.0% 


45,701 




5,724 


39,977 


42 


335 


1.767 


3.580 


11,192 


24,370 


4,415 




Rate per 100,000 inhabitants 




4,624.0 




579.2 


4,044.9 


4.2 


33.9 


178.8 


362.2 


1.132.4 


2,465.7 


446.7 




urlington, N.C. M.S.A 


104,114 


























(Includes Alamance County.) 




























City of Burlington 


38,308 


1.722 




151 


1.571 


2 


11 


21 


117 


352 


1,142 


77 




Total area actually reporting 


98.1% 


3,484 




309 


3.175 


5 


22 


36 


246 


937 


2.078 


160 




Estimated total 


100.0% 


3.612 




325 


3,287 


5 


23 


38 


259 


967 


2.154 


166 




Rate per 100.000 inhabitants 




3,469.3 




312.2 


3,157.1 


4.8 


22.1 


36 5 


248.8 


928.8 


2,068.9 


159.4 




urlington, Vt. M.S.A 


103,531 


























(Includes part of Chilttenden, Franklin 




























and Grand Isle Counties.) 




























City of Burlington 


38,599 


4,089 




96 


3.993 




20 


27 


47 


851 


2,994 


148 




Total area actually reporting 


100.0% 


7,647 




167 


7,480 


2 


30 


57 


78 


1,529 


5,629 


322 




Rate per 100,000 inhabitants 




7,386.2 






7,224.9 


1.9 


29.0 


55.1 


75.3 


1,476,9 


5.437.0 


311.0 




anton, Oh. M.S.A 


404,215 


























(Includes Carroll and Stark Counties.) 




























City of Canton 


89.098 


5,742 




641 


5,101 


8 


67 


269 


297 


1.448 


3,265 


388 




Total area actually reporting 


93.5% 


14,478 




1,419 


13.059 


10 


115 


426 


868 


3,643 


8.511 


905 




Estimated total 


100.0% 


15.177 




1.472 


13,705 


11 


120 


437 


904 


3,806 


8.947 


952 




Rate per 100,000 inhabitants 




3,754.7 




364.2 


3,390.5 


2.7 


29.7 


108.1 


223.6 


941.6 


2,213.4 


235.5 




asper, Wy. M.S.A 


74,338 


























(Includes Natrona County.) 




























City of Casper 


49,160 


3.143 




203 


2.940 




13 


30 


160 


770 


2,042 


128 




Total area actually reporting 


100.0% 


4,271 




269 


4,002 


4 


15 


39 


211 


1,148 


2,651 


203 




Rate per 100,000 inhabitants 




5,745.4 




3619 


5,383.5 


5.4 


20.2 


52.5 


283.8 


1,544.3 


3,566.1 


273.1 




*dar Rapids, la. M.S.A 


166,122 


























(Includes Linn County.) 




























City of Cedar Rapids 


106,482 


8,613 




233 


8,380 


2 


12 


109 


110 


1.845 


6.145 


390 




Total area actually reporting 


100.0% 


10,249 




422 


9,827 


2 


17 


115 


288 


2.218 


7.173 


436 




Rate per 100,000 inhabitants 




6,169.6 




254.0 


5,915.5 




10 2 


69.2 


1734 


1,335.2 


4,317.9 


262.5 




nampaign-Urbana-Rantoul, 11. 




























I.S.A. 4 


170,870 


























(Includes Champaign County.) 




























City of: 




























Champaign 4 


60,572 








5,129 






158 


432 


1.610 


3.219 


300 






34,327 








1.762 


j 






124 




1,236 






Rantoul 4 


20,172 








470 






4 




88 




19 




Total area actually reporting 


100.0% 








9,460 


3 




233 


644 


2.730 


6,196 


534 




Rate per 100,000 inhabitants 










5,536.4 


1.8 




136.4 


3769 


1,597 .7 


3,626.1 


312.5 





See footnotes at end of table 



APPENDIX IV — Index of Crime, Metropolitan Statistical Areas, 1986 — Continued 



Metropolitan Statistical Area 


Population 


5? 


Modified 


1» 


W 


negligent 


F rar 


Robbery 


Aggra- 


Burglary 


theft 


5 


Ann 












slaughter 
















Charleston, S.C. M.S.A 


483,660 


























(Includes Berkeley, Charleston, and 




























Dorchester Counties.) 




























City of Charleston 


68,690 


5.181 




737 


4,444 


10 


45 


165 


517 


1.033 


3,184 


227 




Total area actually reporting 


100.0% 


26,248 




3,417 


22,831 


36 


268 


616 


2.497 


6.379 


14.899 


1.553 




Rate per 100,000 inhabitants 




5,427.0 




706.5 


4,720.5 


7.4 


55.4 


127.4 


516.3 


1.3189 


3,080.5 


321.1 




Charleston, W.V. M.S.A 


261,660 


























(Includes Kanawha and Putnam 




























Counties.) 




























City of Charleston 


58,358 


6,874 




499 


6,375 


2 


58 


201 


238 


1.433 


4,598 


344 




Total area actually reporting 


100.0% 


10,612 




716 


9,896 


13 


83 


250 


370 


2,502 


6,743 


651 




Rate per 100,000 inhabitants 




4.055.6 




273.6 


3,782.0 


5.0 


31.7 


95.5 


1414 


956.2 


2,577.0 


248.8 




Charlotte-Gastonia-Rock Hill, 




























N.C.-S.C. M.S.A 


1,058,815 


























(Includes Cabarrus, Gaston, Lincoln, 




























Mecklenburg, Rowan, and Union 




























Counties, N.C., and York County. 




























S.C.) 




























City of: 




























Charlotte 


339,767 


35.381 




5,487 


29,894 


53 


305 


1.454 


3.675 


9,598 


18.637 


1.659 




Gastoma 


49,656 


5,366 




530 


4,836 


8 


21 


161 


340 


1,319 


3,233 


284 




Rock Hill 


38,622 


3,676 




497 


3.179 


4 


20 


65 


408 


709 


2.300 


170 




Total area actually reporting 


98.6% 


66.602 




8,645 


57,957 


92 


467 


2.006 


6,080 


18,657 


36,225 


3.075 




Estimated total 


100.0% 


67,572 




8,764 


58,808 


93 


472 


2,023 


6,176 


18,887 


36.802 


3,119 




Rate per 100.000 inhabitants 




6.381.9 




827.7 


5,554.1 


8.8 


44.6 


191.1 


583.3 


1.783.8 


3,475.8 


294.6 




Charlottesville, Va. M.S.A 


121,440 


























(Includes Albemarle, Fluvanna, and 




























Greene Counties and Charlottesville 




























City.) 




























City of Charlottesville 


41,681 


3.018 




221 


2.797 


2 


28 


50 


141 


469 


2.182 


146 




Total area actually reporting 


100.0% 


5.504 




358 


5,146 


5 


37 


63 


253 


812 


4,089 


245 




Rate per 100,000 inhabitants 




4,532.3 




294.8 


4,237.5 


4.1 


30.5 


51.9 


208.3 


668.6 


3.367.1 


201.7 




Chattanooga, Tn.-Ga. M.S.A 


432,656 


























(Includes Hamilton, Marion and 




























Sequatchie Counties, Tn.. and Catoosa, 




























Dade and Walker Counties, Ga.) 




























City of Chattanooga 


167,406 


13,283 




1,787 


11,496 


25 


130 


449 


1.183 


2,803 


7.074 


1,619 




Total area actually reporting 


94.0% 


18,881 




2,220 


16,661 


35 


159 


506 


1.520 


4.611 


9.954 


2,096 




Estimated total 


100.0% 


19,512 




2,272 


17.240 


37 


166 


515 


1,554 


4,848 


10.234 


2.158 




Rate per 100,000 inhabitants 




4,509.8 




525.1 


3,984.7 




38.4 


119.0 


359.2 


1,120.5 


2.365.4 


498.8 




Cheyenne, Wy. M.S.A 


71,723 


























(Includes Laramie County.) 




























City of Cheyenne 


50,495 


2,945 




75 


2.870 


7 


10 


13 


45 


431 


2,361 


78 




Total area actually reporting 


100.0% 


3.548 




156 


3,392 


9 


18 


14 


115 


551 


2,741 


100 




Rate per 100,000 inhabitants 




4,946.8 




217.5 


4,729.3 


12.5 


25.1 


19.5 


160.3 


768.2 


3,821.6 


139.4 




Chicago, 11. M.S.A. 4 


6,087,473 


























(Includes Cook, Du Page and 




























McHenry Counties.) 




























City of Chicago 4 


3.003,105 








226,536 


744 




30,918 


33.529 


56,274 


121,751 


48,511 




Total area actually reporting 


100.0% 








351,328 


815 




33,378 


37,713 


82.765 


205,619 


62,944 




Rate per 100,000 inhabitants 










5,771.3 


13.4 




548.3 


619.5 


1,359.6 


3,377.7 


1.034.0 




Chico, Ca. M.S.A 


166,935 


























(Includes Butte County.) 




























City of Chico 


30,830 


3.371 




319 
















178 
548 




Total area actually reporting 


100.0% 


10,134 




845 


9^89 


7 


74 


88 


676 


2,821 


5^920 




Rate per 100,000 inhabitants 




6,070.6 




506.2 


5,564.4 


4.2 


44 .1 


52.7 


404.9 


1.689.9 


3,546.3 


328.3 




Cincinnati, Oh.-Ky.-In. M.S.A 


1,408.757 


























(Includes Clermont, Hamilton and 




























Warren Counties, Oh.; Boone, 




























Campbell and Kenton Counties, Ky.; 




























and Dearborn County, In.) 




























City of Cincinnati 


370,482 


27,699 




3,340 


24,359 


















Total area actually reporting 


93.2% 


64,678 




5,604 


59,074 


77 


489 


IJ43 


3^95 


12,650 


43.431 


2^93 




Estimated total 


100.0% 


68,284 




5,821 


62.463 


79 


506 


1,796 


3.440 


13,344 


45.837 


3,282 




Rale per 100,000 inhabitants 




4,847.1 




413.2 


4,433.9 


5.6 


35.9 


127.5 


244.2 


947.2 


3,253.7 


2330 




CiarkSYille-Hopkinsville, Tn.-Ky. 




























M.S.A 


154,290 


























(Includes Christian County, Ky. and 


























Montgomery County, Tn.) 




























Clarksville 


59.602 


2,825 




318 


2,507 


6 


28 


56 


228 


846 


1,461 


200 




Hopkinsville 


27,901 


1,737 


















1.012 
3,243 


66 
366 




Total area actually reporting 


99.1% 


6.075 




695 


5J80 


16 


52 


124 


503 


1.771 




Estimated total 


100.0% 


6,143 


















3,289 
2,131.7 


369 
239.2 




Rate per 100,000 inhabitants 




3.981.5 




453.7 


3.527.8 


10.4 


33.7 


81.0 


328.6 


1,156.9 





APPENDIX IV — Index of Crime, Metropolitan Statistical Areas, 1986 — Continued 
















Metropolitan Statistical Area 


Population 


total 


Modified 


Violent 


Property 


Murder 
negligent 
slaughter 


F °r^' e 


Robbery 


Aggra- 


Burglary 


theft 


theft 


Arson. 


Cleveland, Oh. M.S.A 


1,866,985 


























(Includes Cuyahoga. Geauga, Lake 




























and Medina Counties.) 




























City of Cleveland 


546,544 


44.235 




7.115 


37,120 


124 


773 


3.698 


2,520 


11.928 


13.453 


11,731 




Total area actually reporting 


86.5% 


80.264 




9.060 


71.204 


155 


934 


4.421 


3,550 


18.832 


35,333 


17,039 




Estimated total 


100.0% 


88.203 




9,603 


78,600 


lbl 


982 


4.544 


3,916 


20.483 


40.508 


17.609 




Rate per 100,000 inhabitants 




4,724.4 




514.4 


4,210.0 


8.6 


52.6 


243.4 


209.7 


1.017,1 


2,169.7 


143.: 




Colorado Springs, Co. M.S.A 


358,774 


























(Includes El Paso County.) 


























City of Colorado Springs 


254,629 


22,833 




1.555 


21,278 


23 


180 


596 


756 


6.361 


13,749 


1,168 




Total area actually reporting 


100.0% 


26,743 




1,790 


24,953 


25 


247 


648 


870 


7.533 


16,048 


1,372 




Rate per 100.000 inhabitants 




7,454.0 




498.9 


6,955.1 


7.0 


68.8 




242.5 


2.099.7 


4,473.0 


382.4 




Columbia, Mo. M.S.A 


107,314 


























(Includes Boone County.) 




























City of Columbia 


64,031 


4.310 




232 


4,078 


1 


19 


53 


159 


734 


3,224 


120 




Total area actually reporting 


100,0% 


5.970 




309 


5,661 


3 


28 


55 


223 


1,115 


4.392 


154 




Rate per 100,000 inhabitants 




5,563.1 




287 9 


5.275.2 


2.8 


26.1 


51.3 


207 8 


1,039.0 


4,092.7 


143.5 




Columbia, S.C. M.S.A 


443.886 


























(Includes Lexington and Richland 




























Counties.) 




























City of Columbia 


100,959 


12,168 




1,514 












2,668 
7.067 








Total area actually reporting 


100.0% 


30,608 




3.918 


26^90 


35 


234 


854 


2.795 


nisio 


1.813 




Rate per 100.000 inhabitants 




6,895.5 




882.7 


6,012.8 


7.9 


52.7 


192.4 


629.7 


1.592.1 


4,012.3 


408.4 




Columbus, Ga.-Al. M.S.A 


254,225 


























(Includes Chattahoochee and 




























Muscogee Counties, Ga.. and Russell 




























County, Al.) 




























City of Columbus 


182,836 


9.473 




798 


8,675 


28 


95 


349 


326 


2.167 


5,177 


531 




Total area actually reporting 


100.0% 


11,562 




1.178 


10,384 


35 


122 


385 


636 


2,646 


7.071 


667 




Rate per 100.000 inhabitants 




4,547.9 




463.4 


4,084.6 


13.8 


48.0 


151.4 


250.2 


1.040.8 


2.781.4 


262.4 




Columbus, Oh. M.S.A 


1,279,017 


























(Includes Delaware. Fairfield. 




























Franklin, Licking, Madison. Pickaway 




























and Union Counties.) 




























City of Columbus 


566,115 


46,552 




5.148 


41,404 


78 


550 


2.255 


2,265 


12,121 


26,491 


2,792 




Total area actually reporting 


93.9% 


71,863 




7.230 


64.633 


101 


735 


2,696 


3,698 


17,342 


43,295 


3,996 




Estimated total 


100.0% 


74,667 




7,408 


67.259 


102 


750 


2,739 


3,817 


17.881 


45,171 


4,207 




Rate per 100,000 inhabitants 




5.837.8 




579.2 


5,258.6 


8.0 


58.6 


214.1 


298.4 


1,398.0 


3,531.7 


328.9 




Corpus Christi, Tx. M.S.A 


378,078 


























(Includes Nueces and San Patricio 




























Counties.) 




























City of Corpus Christi 


269,260 


23,583 




1,355 


22,228 


35 


204 


362 


754 


6.247 


14.^4: 


1,239 




Total area actually reporting 


100.0% 


27,441 




1,664 


25.777 


44 


222 


394 


1.004 


7.533 


16,829 


1,415 




Rate per 100,000 inhabitants 




7,258.0 




440.1 


6,817.9 


11.6 


58.7 


104.2 


265.6 


1,9924 


4.451 : 


374.3 




Cumberle-i, Mu.-W.V. M.S.A 


106,059 


























(Includes Allegany County, Md., and 




























Mineral County, W.V.) 




























City of Cumberland 


24,720 


1.063 




34 


1.029 




1 


7 


26 


213 


786 


30 




Total area actually reporting 


100.0% 


2.352 




135 


2,217 


2 


12 


15 


106 


519 


1,621 


77 




Rate per 100,000 inhabitants 




2,217.6 




127.3 


2,090.3 


1.9 


11.3 


14.1 


99.9 


489.4 


1,528.4 


72.6 




Dallas, Tx. M.S.A 


2,239,832 


























(Includes Collin, Dallas, Denton, Ellis, 




























Kaufman and Rockwall Counties.) 




























City of Dallas 


1,016.488 


153.020 




19,275 


134,651 


347 


1,255 


9,289 


8.384 


37,703 


80.734 


16.214 




Total area actually reporting 


100.0% 


243,321 




23,900 


219,421 


446 


1,675 


10.719 


11.060 


61,770 


134.660 


22,991 




Rate per 100,000 inhabitants 




10,863.4 




1,067.0 


9.796.3 


19.9 


74.8 


478.6 


413.8 


2,757.8 


6.012.1 


1.026.5 




Danbury, Ct. M.S.A 


157,608 


























(Includes part of Fairfield and 




























Litchfield Counties.) 




























City of Danbury 


63,937 


2,543 




90 


2,453 


2 


13 


44 


31 


534 


1,733 


186 




Total area actually reporting 


100.0% 


4,279 




194 


4,085 


4 


25 


57 


108 


1,017 


2,758 


310 




Rate per 100,000 inhabitants 




2,715.0 






2,591.9 


2.5 


15.9 


36.2 


68.5 


645.3 




196.7 




Danville, Va. M.S.A 


114,191 


























(Includes Pittsylvania County and 




























Danville City ) 




























City of Danville 


45,873 


1,479 




75 


1,404 




12 


17 


40 


220 


1,126 


58 




Total area actually reporting 


100.0% 


2,574 




145 


2,429 


10 


22 


18 


95 


597 


1,753 






Rate per 100.000 inhabitants 




2,254.1 




127.0 


2,127 1 


8.8 


19.3 


15.8 


83.2 


522.8 


1.535.1 


69.2 




Davenport-Rock Island-Moline, Ia.-Il. 




























M.S.A." 


378,455 


























(Includes Scott County. la., and 




























Henry and Rock Island Counties, II.) 




























City of: 




























Davenport 


100.073 








6,667 






130 


862 


1.850 


4,593 


224 




Rock Island 4 


45,637 








2,221 






65 


205 


330 


1,794 


97 




Mohne 4 


46,127 








2,058 


1 




10 


70 


432 


1,555 


71 




Total area actually reporting 


100.0% 








15.593 


3 




252 


1.301 


3.755 


11.292 


546 




Rate per 100,000 inhabitants 










4,120.2 


.8 




66.6 


343.8 


192: 


2,1837 


144.3 





See footnotes at end of table. 



APPENDIX IV — Index of Crime, Metropolitan Statistical A 


reas, 1986 — Continued 
















Metropolitan Statistical Area 


Population 


s? 


Modified 


S3 


w 


negligent 
slaughter 


Forcible 
rape 


Robbery 


s 


Burglary 


*zr 


then 


.son. 


Dayton-Springfield, Oh. M.S.A 


930,746 


























(Includes Clark, Greene, Miami and 




























Montgomery Counties.) 




























City of: 






























181,159 


16,569 




2.602 


13.967 


51 


219 


1,428 


904 


4,026 


8,992 


949 




Springfield 


70,079 


6,158 




1,131 


5.027 






180 


866 


1.311 


3,405 


311 




Total area actually reporting 


94.4% 


45,492 




5.214 


40,278 


68 


439 


1,983 


2,724 


9.674 


28.091 


2.513 




Estimated total 


100.0% 


47,582 




5,338 


42,244 


69 


448 


2,014 


2,807 


10,049 


29,519 


2,676 




Rate per 100,000 inhabitants 




5,112.2 




573.5 


4,538.7 


7.4 


48.1 


216.4 


301.6 


1,079.7 


3,171.5 


287.5 




Davtona Beach, Fl. M.S.A 


319,477 


























(Includes Volusia County.) 




























City of Daytona Beach 


60,020 


9.120 




1,204 


7,916 


10 


60 


410 


724 


2,550 


4.906 


460 




Total area actually reporting 


100.0% 


23,429 




2,316 


21.113 


35 


171 


670 


1.440 


7.212 


12.809 


1.092 




Rate per 100,000 inhabitants 




7,333.5 




724.9 


6.608.6 


1 10 


53.5 


209.7 


450 7 


2.257.4 


4,009.4 


341.8 




Denver, Co. M.S.A 


1,626,635 


























(Includes Adams, Arapahoe. Denver, 




























Douglas and Jefferson Counties.) 




























City of Denver 


518,625 


55,671 




4,650 


51,021 


91 


424 


2,099 


2,036 


17,182 


27,238 


6.601 




Total area actually reporting 


100.0% 


133,297 




10,727 


122,570 


138 


760 


3,527 


6,302 


36,216 


74,717 


11.637 




Rate per 100,000 inhabitants 




8,194.6 




659.5 


7.535.2 


8.5 


46.7 


216.8 


387.4 


2,226.4 


4.593.3 


715.4 




Des Moines, la. M.S.A 


369,470 


























(Includes Dallas. Polk and Warren 
Counties.) 

City of Des Moines 




























186,991 


21,683 




1,290 


20,393 


18 


89 


442 


741 


4.884 


14.696 


813 




Total area actually reporting 


100.0% 


30.438 




1.793 


28,645 


20 


103 


500 


1,170 


6,991 


20,514 


1.140 




Rate per 100.000 inhabitants 




8,238.3 




485.3 


7,753.0 


5.4 


27.9 


135.3 


316.7 


1,892.2 


5,552.3 


308.6 




Detroit, Mi. M.S.A 


4,349,692 


























(Includes Lapeer, Livingston, Macomb. 




























Monroe, Oakland, Saint Clair and 




























Wayne Counties.) 




























City of Detroit 


1,096,947 


140,415 




27,277 


113,138 


648 


1.351 


16.421 


8,857 


38,975 


42.250 


31.913 




Total area actually reporting 


97.1% 


327,809 




44,616 


283.193 


781 


2,749 


21,945 


19,141 


76,359 


147.571 


59,263 




Estimated total 


100.0% 


335,275 




45,285 


289,990 


786 


2.798 


22.150 


19,551 


77,807 


151,980 


60,203 




Rate per 100.000 inhabitants 




7,708.0 




1,041.1 


6,666.9 


18.1 


64.3 


509,2 


449.5 


1,788.8 


3.494.0 


1,384.1 




Dothan, Al. M.S.A 


126,073 


























(Includes Dale and Houston 
Counties.) 

City of Dothan 




























52,871 


3.815 




379 


3,436 


3 


19 


61 


296 


759 


2,563 


114 




Total area actually reporting 


98.2% 


5,686 




726 


4,960 


5 


41 


90 


590 


1.164 


3.608 


188 




Estimated total 


100.0% 


5,815 




744 


5,071 


5 


42 


93 


604 


1,193 


3.683 


195 




Rate per 100,000 inhabitants 




4,612.4 




590.1 


4.022.3 


4.0 


33.3 


73.8 


479.1 


946.3 


2,921.3 


154.7 




Dubuque, la. M.S.A 


89,939 


























(Includes Dubuque County.) 




























City of Dubuque 


59,016 


3.017 




131 


2,886 




2 


19 


110 


684 


2,064 


138 




Total area actually reporting 


100.0% 


3.523 




171 


3,352 




2 


19 


150 


763 


2,439 


150 




Rate per 100.000 inhabitants 
Duluth, Mn.-Wi. M.S.A 




3.917.1 




190.1 


3.727.0 




2.2 




166.8 


848.4 


2,711.8 


166.8 




256,597 


























(Includes Saint Louis County. Mn. 




























and Douglas County, Wi.) 




























City of Duluth 


86.690 


4,741 




222 


4,519 


1 


47 


54 


120 


1.223 


3,029 


267 




Total area actually reporting 


100.0% 


9,803 




345 


9,458 


3 


86 


78 


178 


2,539 


6,421 


498 




Rate per 100,000 inhabitants 




3,820.4 




134.5 


3,685.9 


1.2 


33.5 


30.4 


69.4 


989.5 


2,502.4 


194.1 




Eau Claire, Wi. M.S.A 


136,586 


























(Includes Chippewa and Eau Claire 
Counties.) 

City of Eau Claire 




























54.113 


2.074 




68 


2,906 


3 


4 


7 


54 


531 


2,303 


72 




Total area actually reporting 


100.0% 


4,908 




109 


4,799 


4 


9 


9 


87 


918 


3,764 


117 




Rate per 100,000 inhabitants 




3,593.3 




79.8 


3,513.5 


2.9 


6.6 


66 


63.7 


672.1 


2.755.8 


85.7 




Elkhart-Goshen, In. M.S.A 


142,362 


























(Includes Elkhart County.) 




























City of: 




























Elkhart 


43.146 


3,353 




108 


3,245 


5 


22 


51 


30 


716 


2,388 


141 




Goshen 


20.408 


933 




14 


919 




3 


4 


7 


103 


772 


44 




Total area actually reporting 


100.0% 


6,216 




343 


5,873 


7 


34 


71 


231 


1,295 


4,290 


288 




Rate per 100,000 inhabitants 




4,366.3 




240.9 


4.125.4 


4.9 


23.9 


49.9 


162.3 


909.7 


3.013.4 


2023 





APPENDIX IV — Index of Crime, Metropolitan Statistical Areas, 1986 — Continued 



Metropolitan Si.iiMk.il 



Elmira, N.Y. M.S.A 

(Includes Chemung County.) 

City of Elmira 

Total area actually reporting 

Estimated total ..... 

Rate per 100.000 inhabitants 

El Paso, Tx. M.S.A 

(Includes El Paso County.) 
City of El Paso 
Total area actually reporting 
Rate per 100.000 inhabitants 

Enid, Ok. M.S.A 

(Includes Garfield County.) 

City of Enid 

Total area actually reporting 
Rate per 100.000 inhabitants 

Erie, Pa. M.S.A 

(Includes Erie County.) 
City of Ene 

Total area actually reporting 
Rate per 100,000 inhabitants 

Eugene-Springfield, Or. M.S.A 

(Includes Lane County.) 
City of: 

Springfield 

Total area actually reporting 

Estimated total 

Rate per 100.000 inhabitants 

Evansville, In.-Ky. M.S.A 

(Includes Posey, Vanderburgh and 
Warnck Counties. In., and Henderson 
County. Ky.) 

City of Evansville 

Total area actually reporting 

Estimated total 

Rate per 100,000 inhabitants 

Fall River, Ma.-R.I. M.S.A 

(Includes part of Bristol County, Ma., 
and Newport County, R.I.) 

City of Fall River 

Total area actually reporting 

Estimated total 

Rate per 100.000 inhabitants 
Fargo-Moorhead, N.D.-Mn. M.S.A... 
(Includes Cass County, N.D., and 
Clay County, Mn.) 

City of: 

Moorhead 

Total area actually reporting 

Rate per 100,000 inhabitants 

Fayetteville, N.C. M.S.A 

(Includes Cumberland County.) 

City of Fayetteville 

Total area actually reporting 
Rate per 100,000 inhabitants 
FayettevUle-Springdale, Ar. M.S.A... 
(Includes Washington County.) 
City of: 

Fayetteville 

Springdale 

Total area actually reporting 
Rate per 100,000 inhabitants 

FitchbuTg-Leominster, Ma. M.S.A 

(Includes part of Middlesex and 
Worcester Counties.) 
City of: 

Fitchburg 

Leominster 

Total area actually reporting 
Rate per 100,000 inhabitants 

Flint, Mi. M.S.A 

(Includes Genesee County.) 

City of Flint 

Total area actually reporting 
Rate per 100,000 inhabitants 
See footnotes at end of table 



33.529 
89.3% 
100.0% 

549,299 


2.160 

3,490 

3.833 

4,092.2 


483,925 
100.0% 

65,546 


37.773 
40.104 
7,300.9 


52,614 
100.0% 

281,858 


4,385 
4.624 
7,054.6 


117,350 
100.0% 

268,756 


5,642 
9,422 
3,342.8 


102.502 
40,348 
99.8% 


8.649 
3.689 
16,354 



130.477 
77.2% 
100.0% 



36,056 
25,325 
100.0% 



8,295 
8.895 
5.643.2 



23.582 
37.435 
8.561.8 



3,540 
15.683 
15,724 
5.850.7 



APPENDIX IV — Index of Crime, Metropolitan Statistical Areas, 1986 — Continued 



Metropolitan Statistical Area 


— 


Sf 


Modified 


w 


Property 


negligent 


Forcible 
rape 


Robbery 


Aggra- 


Burglary 


theft 


then 


Arson' 


Florence, Al. M.S.A 


137,816 


























(Includes Colbert and Lauderdale 




























Counties.) 




























City of Florence 


36,591 


1.696 




149 


1.547 


4 


8 


24 


113 


357 


1.116 


74 




Total area actually reporting 


99.3% 


3,765 




269 


3,496 


6 


12 


49 


202 


918 


2.375 


203 




Estimated total 


100.0% 


3,817 




276 


3.541 


6 


12 


50 


208 


930 


2.405 


206 




Rate per 100,000 inhabitants 




2,769.6 




200.3 


2.569.4 


4.4 


8.7 


36.3 


150.9 


674.8 


1,745.1 


149.5 




Florence, S.C. M.S.A 


116,706 


























(Includes Florence County.) 




























City of Florence 


31,945 


2.724 




425 


2,299 


1 


28 


117 


279 


525 


1,649 


125 




Total area actually reporting 


100.0% 


6.058 




972 


5,086 


4 


73 


177 


718 


1,557 


3.189 


340 




Rate per 100,000 inhabitants 




5,190.8 




832.9 


4,358.0 


3.4 


62.6 


151.7 


615.2 


1,334.1 


2,732.5 


291.3 




Fort Collins-Loyeland, Co. M.S.A 


170,363 


























(Includes Larimer County.) 




























City of: 




























Fort Collins 


72.688 


4,893 




442 


4,451 


4 


43 


45 


350 


990 


3.321 


140 




Loveland 


34,777 


2,070 




109 


1,961 




10 


15 




352 


1,542 


67 




Total area actually reporting 


100.0% 


9,822 




620 


9,202 


5 


57 


71 


487 


2,042 


6,846 


314 




Rate per 100,000 inhabitants 




5,765.3 




363.9 


5,401.4 


2.9 


33.5 


41.7 


285.9 


1,198.6 


4,018.5 


184.3 




Fort Lauderdale-Hollywood-Pompano 




























Beach, Fl. M.S.A 


1,162,996 


























(Includes Broward County.) 




























City of: 




























Fort Lauderdale 


159.420 


22,010 




2,032 


19,978 


39 


95 


1,271 


627 


6,734 


11.156 


2.088 




Hollywood 


127,831 


12.323 




1,182 


11,141 


11 


42 


570 


559 


2,864 


7.380 


897 




Pompano Beach 


69,403 


9,812 




1,592 


8,220 


15 


64 


459 


1.054 


2,398 


5.098 


724 




Total area actually reporting 


100.0% 


94,779 




10,139 


84,640 


129 


527 


4,736 


4,747 


25,001 


51.931 


7.708 




Rate per 100,000 inhabitants 




8,149.6 




871.8 


7,277.8 


11.1 


45.3 


407.2 


408.2 


2.149.7 


4.465.3 


662.8 




Fort Myers-Cape Coral, Fl. M.S.A... 


268,998 


























(Includes Lee County.) 




























City of: 




























Fort Myers 


40.679 


5.654 




570 


5,084 


8 


34 


217 


311 


1,304 


3,478 


302 




Cape Coral 


46,699 


1,697 




93 


1,604 




3 


16 


74 


476 


1.058 


70 




Total area actually reporting 


100.0% 


14,425 




1,015 


13,410 


13 


97 


388 


517 


4,373 


8,048 


989 




Rate per 100,000 inhabitants 




5,362.5 




377.3 


4,985.2 


4.8 


36.1 


144.2 


192.2 


1,625.7 


2,991.8 


367.7 




Fort Pierce, Fl. M.S.A 


202,361 


























(Includes Martin and Saint Lucie 




























Counties.) 




























City of Fort Pierce 


38,742 


6,667 




928 


5,739 


14 


28 


289 


597 


1.954 


3.452 


333 




Total area actually reporting 


100.0% 


15,543 




1,761 


13,782 


29 


115 


426 


1.191 


4.982 


8,002 


798 




Rate per 1 00,000 inhabitants 




7,680.8 




870.2 


6,810.6 


14.3 


56.8 


210.5 


588.6 


2.461.9 


3.954.3 


394.3 




Fort Smith, Ar.-Ok. M.S.A 


171,432 


























(Includes Crawford and Sebastian 




























Counties, Ar.. and Sequoyah County, 
Ok.) 

City of Fort Smith 




























73.313 


5,216 




352 


4,864 


5 


24 


83 


240 


1,088 


3,417 


359 




Total area actually reporting 


100.0% 


7,032 




425 


6.607 


11 


27 


87 


300 


1,790 


4,315 


502 




Rate per 100,000 inhabitants 




4,101.9 




247.9 


3,854.0 


6.4 


15.7 


50.7 


175.0 


1,044.1 


2.517.0 


292.8 




Fort Walton Beach, Fl. M.S.A 


135,647 


























(Includes Okaloosa County.) 




























City of Fort Walton Beach 


23,421 


1.655 




170 


1,485 


1 


11 


31 


127 


353 


1.040 


92 




Total area actually reporting 


100.0% 


5,141 




384 


4,757 


6 


37 


76 


265 


1,281 


3,185 


291 




Rate per 100.000 inhabitants 




3,790.0 




283.1 


3,506.9 


4.4 


27.3 


56.0 


195.4 


944.4 


2,348.0 


214.5 




Fort Wayne, In. M.S.A 


348,791 


























(Includes Allen, De Kalb and Whitley 




























Counties.) 




























City of Fort Wayne 


165,599 


13,022 




747 


12,275 


16 


78 


355 


298 


1.864 


9,719 


692 




Total area actually reporting 


90.4% 


15,689 




904 


14,785 


19 


90 


375 


420 


2,527 


11,353 


905 




Estimated total 


100.0% 


16,840 




967 


15,873 


20 


95 


390 


462 


2,768 


12,108 


997 




Rate per 100,000 inhabitants 




4,828.1 




277.2 


4,550.9 


5.7 


27.2 


111 8 


132.5 


793.6 


3.471.4 


285.8 




Fort Worth-Arlington, Tx. M.S.A 


1,262,570 


























(Includes Johnson, Parker and Tarrant 




























Counties.) 




























City of: 




























Fort Worth 


432,542 


72,015 




7,870 


64,145 


200 


559 


3,373 


3,738 


19,257 


35,334 


9,554 




Arlington 


223,106 


20,235 




1,450 


18.785 


22 


120 


518 


790 


4,475 


12,263 


2,047 




Total area actually reporting 


100.0% 


133,299 




11,693 


121,606 


267 


856 


4,659 


5,911 


34,367 


71,668 


15.571 




Rate per 100,000 inhabitants 




10,557.8 




926.1 




21.1 


67.8 


369.0 


468.2 


2,722.0 


5.676.4 


1,233.3 




Fresno, Ca. M.S.A 


594,867 


























(Includes Fresno County.) 




























City of Fresno 


281,554 


33.201 




3,426 


29,775 


53 


241 


1.316 


1,816 


9,352 


18,059 


2,364 




Total area actually reporting 


100.0% 


50,938 




5,531 


45,407 


87 


389 


1,637 


3.418 


15,670 


26,395 


3.342 




Rate per 100,000 inhabitants 




8,562.9 




929.8 


7,633.1 


146 


65.4 


275.2 


574.6 


2.634.2 


4,437.1 


561.8 




Gadsden, Al. M.S.A 


104,795 


























(Includes Etowah County.) 




























City of Gadsden 


47.443 


2.763 




449 


2,314 


4 


17 


61 


367 


538 


1.601 


175 




Total area actually reporting 


100.0% 


3,660 




579 


3,081 


9 


25 


75 


470 


774 


2.094 


213 




Rale per 100,000 inhabitants 




3.4115 




552.5 


2,940.0 


8.6 


23.9 


71.6 


448.5 


738.6 


1,998.2 


203.3 





APPENDIX IV — Index of Crime, Metropolitan Statistical Areas, 1986 — Continued 
















Metropolitan Statistical Area 


Population 


Sis 


Modified 


SO 


'.'=' 


Murder 
negligent 


Forcible 


Robbery 


Aggra- 


Burglary 


theft 


5 


Arsons 


Gainesville, Fl. M.S.A 


201,877 


























(Includes Alachua and Bradford 




























Counties.) 






























88,393 


9,830 






8,620 
16,252 




67 
131 


390 


746 

1.443 


3.132 

5.743 


5.132 
9,807 


356 
702 




Total area actually reporting 


100.0% 


18,451 




2,199 


11 




Rate per 100,000 inhabitants 




9,139.7 






8,050.4 


5.4 




304.1 


714.8 


2,844.8 


4,857.9 


347.7 




Galveston-Texas City, Tx. M.S.A 


224,707 


























(Includes Galveston County.) 




























City of: 




























Galveston 


65,085 


6,930 




1,041 


5,889 


7 


66 


375 


593 


1,711 


3.676 


502 




Texas City 


45,440 


4,026 




337 


3,689 


7 


3 


109 


218 


1.105 


2.346 


238 




Total area actually reporting 


100.0% 


16.060 




1,701 


14,359 


24 


104 


527 


1.046 


4.334 


8.911 


1,114 




Rate per 100,000 inhabitants 




7,147.1 




757.0 


6.390.1 


10.7 


46.3 


234.5 


465.5 


1.928.7 


3,965.6 


495.8 




Gary-Hammond, In. M.S.A 


630,303 


























(Includes Lake and Porter Counties.) 




























City of: 




























Gary 


143,254 


8.278 




1,385 


6,893 


46 


82 


561 


696 


2,169 


2,824 


1,900 




Hammond 


89,463 


5.717 




908 


4,809 


3 


55 


224 


626 


1.311 


2.590 


908 




Total area actually reporting 


96.3% 


27.989 




3,200 


24,789 


64 


191 


1,050 


1,895 


5,737 


14.383 


4,669 




Estimated total 


100.0% 


29.022 




3,247 


25,775 


65 


194 


1,062 


1,926 


5.899 


15.141 


4,735 




Rate per 100,000 inhabitants 




4.604.5 




515.1 


4,089.3 


10.3 


30.8 


168.5 


305.6 


935.9 


2,402.2 


751.2 




Glens Falls, N.V. M.S.A 


111,788 


























(Includes Warren and Washington 




























Counties.) 




























City of Glens Falls 


16,165 


366 
















107 
782 




35 
128 




Total area actually reporting 


79.8% 


2,959 




148 


2.811 


1 


13 


17 


117 


1,901 




Estimated total 


100.0% 


3,733 




207 


3.526 


1 


16 


36 


154 


945 


2,402 


179 




Rate per 100,000 inhabitants 




3,339.4 




185.2 


3,154.2 


.9 


14.3 


32.2 


137.8 


84S.4 


2.148.7 


160.1 




Grand Forks, N.D. M.S.A 


67,673 


























(Includes Grand Forks County.) 




























City of Grand Forks 


43.564 


2,219 




31 


2,188 


1 


9 


8 


13 


284 


1.803 


101 




Total area actually reporting 


100.0% 


2.661 




48 


2,613 


1 


12 


9 


26 


326 


2.179 


108 




Rate per 100,000 inhabitants 




3,932.1 




70.9 


3,861.2 


1.5 


17.7 


13.3 


38.4 


481.7 


3,219.9 


159.6 




Grand Rapids, Mi. M.S.A 


635,761 


























(Includes Kent and Ottawa Counties.) 




























City of Grand Rapids 


184,340 


16,419 




2,142 


14,277 


21 


220 


455 


1.446 


3.508 


9,572 


1.197 




Total area actually reporting 


100.0% 


32,951 




2,876 


30,075 


30 


363 


558 


1.925 


6,491 


21,611 


1,973 




Rate per 100,000 inhabitants . 




5,182.9 




452.4 


4,730.6 


4.7 


57.1 


87.8 


302.8 


1,021.0 


3,399.2 


310.3 




Greeley, Co. M.S.A 


135,437 


























(Includes Weld County.) 




























City of Greeley . 


56,281 


5,537 




370 


5,167 


4 


29 


60 


277 


1,148 


3,834 


185 




Total area actually reporting 


100.0% 


9,275 




662 


8.613 


10 


74 


78 


500 


2,133 


6,124 


356 




Rate per 100,000 inhabitants 




6,848.2 




488.8 


6,359.4 


7.4 


54.6 


57.6 


369.2 


1.574.9 


4.521.7 


262.9 




Green Bay, Wi. M.S.A 


182,007 


























(Includes Brown County.) 




























City of Green Bay 


90,361 


4.948 




214 


4,734 


4 


15 


19 


176 


696 


3,860 


178 




Total area actually reporting 


100.0% 


7.778 




305 


7,473 


4 


18 


29 


254 


1,085 


6,092 


296 




Rate per 100,000 inhabitants 




4,273.5 




167.6 


4,105.9 


2.2 


9.9 


15.9 


139.6 


596.1 


3.347.1 


162.6 




Greensboro-Winston-Salem-High 




























Point, N.C. M.S.A 


911,220 


























(Includes Davidson, Davie, Forsyth, 




























Guilford, Randolph, Stokes and 




























Yadkin Counties.) 




























City of: 




























Greensboro 


163,614 


11.138 




1,199 


9,939 


18 


66 


300 


815 


2,421 


7.131 


387 




Winston-Salem 


147,235 


12,377 




2,459 


9,918 


17 


109 


369 


1.964 


3,107 


6,247 


564 




High Point 


68,557 


5,068 




594 


4,474 


10 


27 


124 


433 


1,119 


3,145 


210 




Total area actually reporting 


99.8% 


40,816 




5,468 


35,348 


78 


253 


920 


4,217 


10,891 


22,538 


1.919 




Estimated total 


100.0% 


40,935 




5,483 


35,452 


78 


254 


922 


4,229 


10,919 


22,609 


1.924 




Rate per 100.000 inhabitants 




4,492.3 




601.7 


3.890.6 


8.6 


27.9 


101.2 


464.1 


1,198.3 


2.481.2 


211.1 




Greenville-Spartanburg, S.C. M.S.A. .. 


607,826 


























(Includes Greenville, Pickens and 




























Spartanburg Counties.) 




























City of. 




























Greenville 


58.703 


6,283 




794 


5.489 




20 


184 


579 


1,257 


3.927 


305 




Spartanburg 


44,914 


4,670 




638 


4,032 


7 


25 


122 


484 


1.031 


2.796 


205 




Total area actually reporting 


99.7% 


34.414 




4.092 


30,322 


57 


230 


677 


3,128 


8,467 


20,058 


1,797 




Estimated total 


100.0% 


34,518 




4,104 


30,414 


57 


231 


679 


3,137 


8,489 


20.123 


1,802 




Rate per 100,000 inhabitants 




5.678.9 




675.2 


5,003.7 


9.4 


38.0 


111.7 


516.1 


1,396.6 


3.310.7 


296.5 




Hagerstown, Md. M.S.A 


114,891 


























(Includes Washington County.) 




























City of Hagerstown 


33,900 


1,790 




143 


1,647 


1 


8 


43 


91 


459 


1,099 


89 




Total area actually reporting 


100.0% 


3.040 




297 


2,743 


6 


18 


59 


214 


788 


1,788 


167 




Rate per 100.000 inhabitants 




2,646.0 




2585 


2.387.5 


5.2 


15.7 


51.4 


186.3 


685.9 


1,556.3 


145.4 





APPENDIX IV — Index of Crime, Metropolitan Statistical Areas, 1986 — Continued 



Metropolitan Statistical Area 


Population 


Index 
total 


Modified 


Violent 


S> 


negligent 


Forcible 


Robbery 


Aggra- 
vated 


Burglary 


theft 


theft 


Arson' 












slaughter 
















Hamilton-Middletown, Oh. M.S.A 


265,413 


























(Includes Butler County.) 




























City of: 






























63,967 


5.152 




604 


4.548 


7 


50 


139 


408 


1,231 


3.075 


242 




Mtddletown 


43.791 


2,515 




88 


2.427 


3 


11 


43 


31 


551 


1.800 


76 




Total area actually reporting 


100.0% 


13.796 




970 


12,826 


1 1 


74 


211 


674 


3,122 


9,108 


596 




Rate per 100.000 inhabitants 




5,197.9 




365.5 


4.832.5 


4.1 


27.9 


79.5 


253.9 


1,1763 


3.431 6 


224.6 




Harrisburg-Lebanon-Carlisle, Pa. 




























M.S.A 


570,561 


























(Includes Cumberland. Dauphin. 




























Lebanon and Perry Counties.) 




























City of: 




























Harnsburg 


52,007 


5,285 




1,073 


4.212 




82 


401 


582 


1.324 


2,601 


287 






26,304 


935 




35 


900 


1 


2 




20 


175 








Carlisle 


19,187 


747 




64 


683 






19 


38 


120 


531 


32 




Total area actually reporting 


99.9% 


18,777 




1,906 


16,871 


14 


162 


556 


1,174 


4.017 


11,963 


891 




Estimated total 


100.0% 


18,798 




1.907 


16,891 


14 


162 


556 


1.175 


4,021 


11,977 


893 




Rate per 100,000 inhabitants 




3,294.7 




334.2 


2,960.4 


2.5 


28.4 


97.4 


205.9 


704.7 


2,099.2 


156.5 




Hartford, Ct. M.S.A 


743,495 


























(Includes part of Hartford, Litchfield, 




























Middlesex, New London and Tolland 




























Counties.) 




























City of Hartford 


137.217 


19,887 




2.969 


16.918 


28 


104 


1,675 


1,162 


4,661 


10,259 


1,998 




Total area actually reporting 


100.0% 


41,477 




4,120 


37,357 


39 


206 


2,027 


1,848 


9.761 


24,062 


3,534 




Rate per 100,000 inhabitants 




5,578.7 




554.1 


5.024.5 


5.2 


27.7 


272.6 


248.6 


1,312.9 


3,236.3 


475.3 




Hickory, N.C. M.S.A 


217,870 


























(Includes Alexander, Burke and 




























Catawba Counties.) 




























City of Hickory 


25,006 


2.471 




248 


2.223 




13 




187 


651 


1,442 


130 




Total area actually reporting 


100.0% 


6,964 




896 


6,068 


10 


29 


71 


786 


1,986 


3.724 


358 




Rate per 100,000 inhabitants 




3,196.4 




411.3 


2.785.1 


4 6 


13.3 


32.6 


360.8 


911.6 


1.709.3 


164.3 




Honolulu, Hi. M.S.A 


823,306 


























(Includes Honolulu County.) 




























Total area actually reporting 


100.0% 


46,455 




2.076 


44,379 


46 


241 


1,052 


737 


10,675 


30.846 


2,858 




Rate per 100,000 inhabitants 




5,642.5 




252.2 


5,390.3 


5.6 


29.3 


127.8 


89,5 


1,296.6 


3,746.6 


347.1 




Houston, Tx. M.S.A 


3,301,412 


























(Includes Fort Bend, Harris, Liberty. 




























Montgomery and Waller Counties.) 




























City of Houston 


1.779,677 


168.150 




20,576 


147,574 


408 


1.524 


10,926 


7,718 


44.530 


68,856 


34.188 




Total area actually reporting. 


100.0% 


249.315 




26,605 


222,710 


525 


2,023 


12,938 


11,119 


69,823 


108,315 


44.572 




Rate per 100,000 inhabitants 




7,551.8 




805.9 


6,745.9 


15.9 


61.3 


391.9 


336.8 


2.114.9 


3,280.9 


1,350.1 




Huntington-Ashland, W.V.-Ky.-Oh. 




























M.S.A 


331,592 


























(Includes Cabell and Wayne Counties, 




























W.V., Boyd, Carter and Greenup 




























Counties, Ky., and Lawrence County, 




























Oh.) 




























City of: 






























60,043 


4.327 




476 


3,851 






103 








239 




Ashland 


26.247 


1.057 




134 


923 


1 


5 


11 


117 


238 


638 


47 




Total area actually reporting 


85.1% 


8,923 




974 


7,949 


14 


71 


166 


723 


2.331 


5,039 


579 




Estimated total 


100.0% 


10,073 




1,069 


9,004 


15 


81 


185 


788 


2,624 


5,730 


650 




Rate per 100,000 inhabitants 




3,037.8 




322.4 


2,715.4 


4.5 


24.4 


55.8 


237.6 


791.3 


1,728.0 


196.0 




Huntsville, Al. M.S.A 


213,325 


























(Includes Madison County.) 




























City of Huntsville 


151,880 


11,798 




787 


11.011 


19 




201 


506 


2.353 


8,182 


476 




Total area actually reporting 


100.0% 


12,736 




901 


11.835 


22 


71 


212 


596 


2,650 


8,667 


518 




Rate per 100,000 inhabitants 




5,970.2 




422.4 


5.547.9 


10.3 


33.3 


99.4 


279.4 


1.242.2 


4,062.8 


242.8 




Indianapolis, In. M.S.A 


1,196,422 


























(Includes Boone, Hamilton, Hancock, 


























Hendricks, Johnson, Marion, Morgan 




























and Shelby Counties.) 




























City of Indianapolis 


470,591 


29,726 




4,307 


25,419 


63 


438 


1,571 


2,235 


8.247 


13.815 


3,357 




Total area actually reporting 


86.8% 


52,393 




5,337 


47,056 


80 


547 


1.960 


2.750 


13,421 


28,267 


5,368 




Estimated total 


100.0% 


57,513 




5.632 


51,881 


84 


570 


2,029 


2,949 


14,553 


31,526 


5,802 




Rate per 100,000 inhabitants 




4,807.1 




470.7 


4,336.3 


7.0 


47.6 


169.6 


246.5 


1.216.4 


2,635.0 


484.9 




Iowa City, la. M.S.A 


83,185 


























(Includes Johnson County.) 




























City of Iowa City 


49,958 


2,816 




191 


2,625 




21 


15 


155 


508 


2,021 


96 




Total area actually reporting 


100.0% 


4,819 




284 


4,535 




32 


26 


226 


947 


3,445 


143 




Rate per 100,000 inhabitants 




5,793.1 




341.4 


5,451.7 




38.5 


31.3 


271.7 


1.138.4 


4.141 4 


171.9 




Jackson, Mi. M.S.A 


146,378 


























(Includes Jackson County.) 




























City of Jackson 


37.974 


4.421 




853 


3,568 


4 


48 


116 


685 


1,094 


2.302 


172 




Total area actually reporting 


97.4% 


7,853 




1,350 


6,503 


15 


99 


152 


1.084 


1,826 


4,369 


308 




Estimated total 


100.0% 


8,079 




1.369 


6,710 


15 


100 


158 


1,09 b 


1.870 


4,503 


337 




Rate per 100,000 inhabitants 




5,519.3 




935.2 


4.584.0 


10.2 


68.3 


107.9 


748.7 


1.277,5 


3,076.3 


230.2 





See footnotes at end of table. 



346 



APPENDIX IV — Index of Crime, Metropolitan Statistical Areas, 1986 — Continued 
















Metropolitan Statistical Area 


Population 


ss 


Modified 
Crime 
Index 


Violent 


w 


Murder 
and non- 
neghgen! 


Forcible 


Robbery 


Aggra- 


Burglary 


theft 


vehicle 
Ihefl 


Arson 1 








total' 






slighter 














Jackson, Ms. M.S.A 


386,360 


























(Includes Hinds. Madison and Rankin 




























Counties.) 




























City of Jackson 


210.985 


14,043 




1.480 


12.563 


33 


115 


429 


903 


4,268 


7.622 


673 




Total area actually reporting 


76.1% 


16,385 




1.598 


14.787 


38 


133 


454 


973 


4,858 


9.139 


790 




Estimated total 


100.0% 


19,913 




1.795 


18,118 


43 


158 


505 


1,089 


6,108 


11,004 


1.006 




Rate per 100,000 inhabitants 




5,154.0 




464.6 


4,689.4 


11.1 


40.9 


130.7 


281.9 


1,580.9 


2,848 1 


260.4 




Jackson, Tn. M.S.A 


77,806 


























(Includes Madison County.) 




























City of Jackson 


51.912 


4.462 




642 


3,820 


6 


38 


167 


431 


1.124 


2.507 


189 




Total area actually reporting 


100.0% 


5.120 




710 


4,410 


8 


52 


173 


477 


1.381 


2.792 


237 




Rate per 100,000 inhabitants 




6,580.5 




912.5 


5,667.9 


10.3 


66.8 


222.3 


613.1 


1,774.9 


3,588.4 


304.6 




Jacksonville, Fl. M.S.A 


845,993 


























(Includes Clay, Duval. Nassau and 




























Saint Johns Counties.) 




























City of Jacksonville 


616,668 


59,410 




8.003 


51,407 


119 


618 


2,985 


4.281 


16,498 


31,668 


3.241 




Total area actually reporting 


100.0% 


74,594 




9,902 


64,692 


139 


701 


3.301 


5.761 


19,862 


40,826 


4.004 




Rate per 100,000 inhabitants 




8,817.3 




1,170.5 


7,646.9 


16.4 


82.9 


390.2 


6810 


2,347.8 


4,825.8 


473.3 




Jacksonville, N.C. M.S.A 


121,806 


























(Includes Onslow County.) 




























City of Jacksonville 


26,317 


2,719 




264 


2,455 


4 


12 


47 


201 


537 


1.822 


96 




Total area actually reporting 


100.0% 


5,366 




568 


4,798 


4 


20 


74 


470 


1,460 


3,114 


224 




Rate per 100,000 inhabitants 




4,405.4 




466.3 


3,939.1 


3.3 


16.4 


60.8 


385.9 


1,198.6 


2,556.5 


183.9 




Janesville-Beloit, Wi. M.S.A 


139,203 


























(Includes Rock County.) 




























City of: 




























Janesville 


51.708 


2.944 




78 


2.866 


2 


13 


14 


49 


636 


2,138 


92 




Beloit 


34,177 


3.216 




361 


2.855 


2 


11 


39 


309 


457 


2,306 


92 




Total area actually reporting 


100.0% 


7,340 




507 


6.833 


6 


31 


60 


410 


1,423 


5,184 


226 




Rate per 100,000 inhabitants 




5.272.9 




364.2 


4,908.7 


4.3 


22.3 


43.1 


294.5 


1.022.2 


3.724.1 


162.4 




Jersey City, N.J. M.S.A 


567,749 


























(Includes Hudson County.) 




























City of Jersey City 


226,135 


19.505 




3,658 


15,847 


19 


130 


2.200 


1.309 


4,745 


7.428 


3.674 




Total area actually reporting 


100.0% 


39,261 




5,300 


33,961 


39 


190 


2.800 


2,271 


8,549 


17,434 


7,978 




Rate per 100.000 inhabitants 




6.915.2 




933.5 


5.981.7 


6.9 


33.5 


493.2 


400.0 


1,505.8 


3,070.7 


1,405.2 




Johnson City-Kingsport-Bristol, 




























Tn.-Va. M.S.A 


450,474 


























(Includes Carter, Hawkins, Sullivan, 




























Unicoi and Washington Counties, Tn., 




























Bristol City and Scott and Washington 




























Counties, Va.) 




























City of: 




























Johnson City 


45,170 


2.496 




118 


2,378 


3 


17 


30 


68 


516 


1.672 


190 




Kingsport 


32,286 


2.117 




103 


2.014 




2 


22 


79 


409 


1,454 


151 




Bristol 


19,029 


947 




65 


882 


1 


2 


22 


40 


150 


688 


44 




Total area actually reporting 


88.1% 


11,949 




835 


11.114 


23 


59 


133 


620 


3.071 


7,232 


811 




Estimated total 


100.0% 


13.703 




985 


12,718 


26 


74 


162 


723 


3.595 


8.174 


949 




Rate per 100,000 inhabitants 




3,041.9 




218.7 


2.823.2 


5.8 




36.0 


160.5 


798.0 


1.814.5 


210.7 




Johnstown, Pa. M.S.A 


258,744 


























(Includes Cambria and Somerset 
Counties.) 

City of Johnstown 




























33.105 


1,155 




171 


984 




10 


38 


123 


297 


588 


99 




Total area actually reporting . 


99.5% 


3,962 




402 


3.560 


1 


38 


58 


305 


1.090 


2,188 


282 




Estimated total 


100.0% 


3,996 




405 


3,591 


1 


38 


59 


307 


1.097 


2,209 


285 




Rate per 100,000 inhabitants 




1,544.4 




156.5 


1,387.9 


.4 


14.7 


22.8 


118.7 


424.0 


853.7 


110.1 




Joliet, 11. M.S.A. 4 


384,548 


























(Includes Grundy and Will Counties.) 




























City of Joliet 4 


76,760 








5.728 


12 




245 


625 


1.534 


3,692 


502 




Total area actually reporting 


99.9% 








15,532 


21 




344 


1.123 


4.438 


9,862 


1.232 




Estimated total 


100.0% 








15,547 


21 




344 


1,124 


4.441 


9,873 


1.233 




Rate per 100.000 inhabitant'. 










4,042.9 


5.5 




89.5 


292.3 


1.154.9 


2,567.4 


320.6 




Joplin, Mo. M.S.A 


133,423 


























(Includes Jasper and Newton 


























Counties.) 




























City of Joplin ... 


40.112 


2,522 




244 


2,278 


4 


15 


23 


202 


425 


1.691 






Total area actually reporting 


77.1% 


4,197 




345 


3,852 


5 


20 


35 


285 


845 


2,776 


231 




Estimated total 


100.0% 


4,957 




409 


4,548 


6 


24 


45 


334 


1,062 


3,197 


289 




Rate per 100,000 inhabitants 




3,715.3 




306.5 


3,408.7 


4.5 


18.0 


337 


250.3 


796.0 


2.396.1 


216.6 




Kalamazoo, Mi. M.S.A 


216,813 


























(Includes Kalamazoo County.) 




























City of Kalamazoo 


77.792 


10,458 




1.797 


8,661 


3 


115 


364 


1.315 


2,504 


5,823 


334 




Total area actually reporting 


99.2% 


17,333 




2.170 


15,163 


6 


164 


420 


1.580 


3.775 


10,797 


591 




Estimated total 


100.0% 


17.437 




2,180 


15,257 


6 


165 


423 


1.586 


3.795 


10.858 


604 




Rate per 100,000 inhabitants 




8,042.4 




1,005.5 


7,036.9 


2.8 


76.1 


195.1 


731.5 


1.750.4 


5,008.0 


278.6 




See footnotes at end of table. 





























APPENDIX IV — Index of Crime, Metropolitan Statistical Areas, 1986 — Continued 



Metropolitan Statistical Area 


Population 


Cnme 
Index 
total 


Modified 
total 1 


Violent 


'=? 


Murder 

■.l.iurtik't 


Forcible 
rape 


Robbery 


Aggra- 


Burglary 


Larceny- 


2F 


ArW 


Kankakee, 11. M.S.A 


100,502 


























(Includes Kankakee County.) 




























City of Kankakee 4 


28,464 








3,143 


2 




145 


414 


942 


1.967 


234 




Total area actually reporting 


100.0% 








5,124 


5 




163 


540 


1,504 


3,274 


346 




Rate per 100.000 inhabitants 










5.098.4 


5.0 




162,2 


537.3 


1,496.5 


3.257.6 


344.3 




Kansas City, Mo.-Ks. M.S.A 


1,492,688 


























(Includes Cass. Clay, Jackson, 




























Lafayette, Platte and Ray Counties, 




























Mo., and Johnson. Leavenworth, 




























Miami and Wyandotte Counties, Ks.) 




























City of: 




























Kansas City, Ks 


161.978 


16.264 




2.394 


13.870 


21 


147 


623 


1.603 


4.585 


7.397 


1.888 




Kansas City, Mo 


448,237 


54,378 




9.673 


44.705 


116 


460 


3.442 


5,655 


13.525 


24,375 


6.805 




Total area actually reporting 


96.9% 


105,396 




14,299 


91,097 


158 


747 


4,564 


8.830 


26,073 


54,265 


10,759 




Estimated total 


100.0% 


107.026 




14,427 


92,599 


160 


755 


4,591 


8.921 


26,455 


55,255 


10,889 




Rate per 100,000 inhabitants 




7,170.0 




966.5 


6,203.5 


10.7 


50.6 


307.6 


597.6 


1.772.3 


3,701.7 


729.5 




Kenosha, Wi. M.S.A 


121,859 


























(Includes Kenosha County.) 




























City of Kenosha 


75,958 


5,058 




257 


4,801 


3 


33 


109 


112 


1.164 


3,372 


265 




Total area actually reporting 


100.0% 


6,891 




332 


6,559 


5 


49 


125 


153 


1,598 


4,593 


368 




Rate per 100,000 inhabitants 




5,654.9 




272.4 


5.382.5 


4.1 


40.2 


102.6 


125.6 


1,311.4 


3,769.1 


302.0 




Killeen-Temple, Tx. M.S.A 


235,467 


























(Includes Bell and Coryell Counties.) 




























City of: 




























Killeen 


58,080 


5.196 




339 


4,857 


3 


73 


115 


148 


1.577 


3,042 


238 




Temple 


46,998 


3,376 




172 


3,204 


6 


50 


60 


56 


834 


2.204 


166 




Total area actually reporting 


100.0% 


12,447 




784 


11,663 


18 


160 


213 


393 


3.651 


7.399 


613 




Rate per 100,000 inhabitants 




5,286.1 




333.0 


4,953.1 


7.6 


68.0 


90.5 




1,550.5 


3,142.3 


260.3 




Knoxville, Tn. M.S.A 


599,673 


























(Includes Anderson, Blount, Grainger, 




























Jefferson. Knox. Sevier and Union 




























Counties.) 




























City of Knoxville 


177,153 


11.872 




1.437 


10.435 


29 


87 


496 


825 


4.079 


4.906 


1,450 




Total area actually reporting 


88.7% 


21,547 




2,082 


19,465 


46 


143 


634 


1,259 


7,435 


9,778 


2.252 




Estimated total 


100.0% 


23,446 




2,242 


21,204 


51 


162 


663 


1,366 


8,075 


10,709 


2,420 




Rate per 100.000 inhabitants 




3,909.8 




373.9 


3.535.9 


8.5 


27.0 


110.6 


227,8 


1,346.6 


1,785.8 


403.6 




Kokomo, In. M.S.A 


101,138 


























(Includes Howard and Tipton 




























Counties.) 




























City of Kokomo 


45,435 


2,331 




58 


2.273 


5 


10 


39 


4 


507 


1.670 


96 




Total area actually reporting 


100.0% 


2.921 




69 


2.852 


5 


14 


45 


5 


671 


2.056 


125 




Rate per 100,000 inhabitants 




2,888.1 




68.2 


2.819.9 


4.9 


13.8 


44.5 


4.9 


663.4 


2.032.9 


123.6 




La Crosse, Wi. M.S.A 


93,497 


























(Includes La Crosse County.) 




























City of La Crosse 


47.783 


2.995 




38 


2,957 










236 


2,635 


86 




Total area actually reporting 


100.0% 


4,121 




148 


3,973 


2 


18 


15 


113 


438 


3,420 


115 




Rate per 100.000 inhabitants 




4,407.6 




158.3 


4.249.3 


2.1 


19.3 


16.0 


120.9 


468.5 


3.657.9 


123.0 




Lafayette, La. M.S.A 


217,786 


























(Includes Lafayette and St. Martin 




























Parishes.) 




























City of Lafayette 


83.321 


10.071 




1.158 


8,913 


12 


75 


232 


839 


2.067 


6,523 


323 




Total area actually reporting 


96.6% 


13,281 




1.503 


11,778 


21 


128 


278 


1,076 


3,035 


8.270 


473 




Estimated total 


100.0% 


13,750 




1.548 


12,202 


21 


130 


286 


1,111 


3,127 


8,582 


493 




Rate per 100.000 inhabitants 




6,313.5 




710.8 


5,602.7 


9.6 


59.7 


131.3 


510.1 


1,435.8 


3,940.6 


226.4 




Lafayette- West Lafayette, In. M.S.A.. 


124,009 


























(Includes Tippecanoe County.) 




























City of: 




























Lafayette 


44.108 


2.197 




67 


2.130 




11 


29 


27 


547 


1.469 


114 




West Lafayette 


21,040 


812 




36 


776 




3 




22 




602 


29 




Total area actually reporting 


100.0% 


3.919 




162 


3,757 






58 




929 


2.620 


208 




Rate per 100,000 inhabitants 




3,160.3 




130.6 


3,029.6 




14.5 






749.1 


2,112.7 


167.7 




Lake Charles, La. M.S.A 


176,471 


























(Includes Calcasieu Parish.) 




























City of Lake Charles 


75,728 


4,713 




224 


4,489 


5 


9 


58 


152 


1.016 


3.293 


180 




Total area actually reporting 


100.0% 


10.801 




891 


9.910 


13 


53 


131 


694 


2.433 


7.116 


361 




Rate per 100.000 inhabitants 




6,120.6 




504.9 


5.615.7 


7.4 


30.0 


74.2 


393.3 


1.378.7 


4.0324 


204.6 




Lake County, 11. M.S.A. 4 


469,940 


























(Includes Lake County.) 




























Total area actually reporting 


99.8% 








18,552 


10 




373 


1,242 


3.767 


13,741 


1.044 




Estimated total 


100.0% 








18,603 


10 




374 


1,244 


3.778 


13,776 


1.049 




Rate per 100.000 inhabitants 










3,958.6 


2.1 




79.6 


264.7 


803.9 


2.931.4 


223.2 




Lakeland-Winter Haven, Fl. M.S.A. .. 


377,162 


























(Includes Polk County.) 




























City of: 




























Lakeland 


57.818 


6,663 




698 


5,965 


7 


35 


277 




1.704 




240 




Winter Haven 


23,377 


2.864 




258 


2.606 


5 


18 


72 


163 


690 


1.824 


92 




Total area actually reporting 


100.0% 


30,365 




3,511 


26,854 


45 


146 


992 


2.328 


7,643 


17.824 


1.387 




Rate per 100,000 inhabitants 




8,050.9 




930.9 


7.120.0 


11.9 


38.7 


263.0 


617.2 


2.026 5 


4.725.8 


367.7 





See footnotes at end of table. 



348 



APPENDIX IV — Index of Crime, Metropolitan Statistical Areas, 1986 — Continued 



\i..j,t„-,j 

Index 



Lancaster, Pa. M.S.A 

(Includes Lancaster County.) 
City of Lancaster 
Total area actually reporting 

Estimated total 

Rate per 100,000 inhabitants. 
Lansing-East Lansing, Mi. M.S.A. 
(Includes Clinton, Eaton and Ingha 
Counties.) 
City of: 

Lansing 

East Lansing 

Total area actually reporting 

Estimated total 

Rate per 100.000 inhabitants 

Laredo, Tx. M.S.A 

(Includes Webb County.) 

City of Laredo 

Total area actually reporting 
Rate per 100,000 inhabitants 

Las Cruces, N.M. M.S.A 

(Includes Dona Ana County.) 

City of Las Cruces 

Total area actually reporting 

Estimated total 

Rate per 100,000 inhabitants 

Las Vegas, Nv. M.S.A 

{Includes Clark County.) 
City of Las Vegas 
Total area actually reporting 
Rate per 100.000 inhabitants 

Lawrence, Ks. M.S.A 

(Includes Douglas County.) 

City of Lawrence 

Total area actually reporting 
Rate per 100.000 inhabitants 

Lawton, Ok. M.S.A 

(Includes Comanche County.) 

City of Lawton 

Total area actually reporting 
Rate per 100.000 inhabitants 

Lewiston-Auburn, Me. M.S.A 

(Includes part of Androscoggin 
County.) 
City of 

Lewiston 

Aubum 

Total area actually reporting 
Rate per 100,000 inhabitants 

Lexington-Fayette, Ky. M.S.A 

(Includes Bourbon, Clark. Fayette, 
Jessamine, Scott and Woodford 
Counties.) 

City of Lexington 

Total area actually reporting 
Rate per 100,000 inhabitants 

Lincoln, Nb. M.S.A 

(Includes Lancaster County.) 

City of Lincoln 

Total area actually reporting 
Rate per 100.000 inhabitants 
Little Rock-North Little Rock, Ar. 

MJS.A 

(Includes Faulkner, Lonoke, Pulaski 
and Saline Counties.) 
City of: 

Little Rock 

North Little Rock 

Total area actually reporting 
Rate per 100,000 inhabitants 

Longriew-Marshall, Tx. M.S.A 

(Includes Gregg and Harrison 
Counties.) 
City of: 

Longview 

Marshall 

Total area actually reporting 

Rate per 100,000 inhabitants 

See footnotes at end of table. 



100.0% 

419,295 



i:x.<i(iu 

47,081 
98.9% 
100.0% 



24.852 
25,120 
5,991.0 



52,228 
97.7% 
100.0% 


4.994 

6,871 

7,124 

6.112-8 


567,207 


463,158 
100.0% 

70,411 


35.841 
41,270 
7,276.0 


54.707 
100.0% 

119,671 


3,788 
4,893 
6.949.2 


85,812 
100.0% 


6] 162 



19.943 
5,658 
33,747 

6,784.5 



22.61)2 
22.936 
5.470. 



KI.S54 
12,415 
6.145.4 



4,897 
29,374 

5,405 1 



5.872 
5.924 

.412.8 



3.202 
4,057 

.238.4 



14,689 
22,297 
3,931.0 



2.723 

3.436 

4.879.S 



3.280 
3,402 

2.K42 X 



APPENDIX IV — Index of Crime, Metropolitan Statistical Areas, 1986 — Continued 
















Metropolitan Statistical Area 


Population 


3f 


Modified 


ffl 





negligent 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 


Burglary 


theft 


theft 


Arson' 


Lorain-Elyria, Oh. M.S.A 


265,808 


























(Includes Lorain County.) 




























City of: 






























72,789 


2.259 




165 


2,094 




49 


48 




800 


1,138 


156 




Elyria 


57,192 


1.897 




125 


1,772 


5 


28 


43 


49 


632 


916 


224 




Total area actually reporting 


99.5% 


6,977 




636 


6,341 


12 


107 


116 


401 


2,082 


3,770 


489 




Estimated total 


100.0% 


7,035 




639 


6,396 


12 


107 


117 


403 


2,092 


3,810 


494 




Rate per 100,000 inhabitants 




2,646.6 




240.4 


2,406.2 


4.5 


40.3 


44.0 


151.6 


787.0 


1,433.4 


185.8 




Los Angeles-Long Beach, Ca. M.S.A. 


8,320,148 


























(Includes Los Angeles County.) 




























City of: 






























3,260,856 


311,420 




66,378 


245,042 


834 


2,330 


29,930 


33,284 


64,201 


124,518 


56,323 




Long Beach 


398,983 


34.396 




4,839 


29,557 


62 


220 


2,774 


1,783 


8,763 


15,904 


4,890 




Total area actually reporting 


100.0% 


616,181 




115,819 


500,362 


1,409 


4,428 


49,376 


60,606 


143.528 


254,851 


101,983 




Rate per 100,000 inhabitants 




7,405.9 




1.392.0 


6,013.9 


16.9 


53.2 


593.5 


728.4 


1,725.1 


3,063.1 


1.225.7 




Louisville, Ky.-In. M.S.A 


963,807 


























(Includes Bullitt, JefTerson, Oldham 




























and Shelby Counties, Ky.. and Clark, 




























Floyd and Harrison Counties, In.) 




























City of Louisville 


290,230 


18,665 




2,365 


16,300 


42 


119 


1,469 


735 


5,609 


9,438 


1,253 




Total area actually reporting . 


88.3% 


40,624 




3,872 


36,752 


65 


258 


1.969 


1,580 


10,733 


23,168 


2,851 




Estimated total 


100.0% 


44,595 




4,099 


40,496 


69 


275 


2,022 


1,733 


11.554 


25,780 


3,162 




Rate per 100,000 inhabitants 




4,627.0 




425.3 


4.201.7 


7.2 


28.5 


209.8 


179.8 


1.198.8 


2,674.8 


328.1 




Lubbock, Tx. M.S.A 


227,634 


























(Includes Lubbock County.) 




























City of Lubbock 


186,272 


19,222 




1,741 


17,481 


28 


105 


324 


1,284 


6,146 


10,458 


877 




Total area actually reporting 


100.0% 


21,661 




1,921 


19,740 


30 


133 


339 


1,419 


6,851 


11.893 


996 




Rate per 100,000 inhabitants 




9,515.7 




843.9 


8.6718 


13.2 


58.4 


148.9 


623.4 


3,009.7 


5.224.6 


437.5 




Lynchburg, Va. M.S.A 


146,384 


























(Includes Lynchburg City and 




























Amherst and Campbell Counties.) 




























City of Lynchburg 


69,105 


3.465 




395 


3.070 


7 


22 


80 


286 


573 


2,386 


111 




Total area actually reporting 


100.0% 


4,829 




565 


4,264 


13 


50 


90 


412 


809 


3,279 


176 




Rate per 100.000 inhabitants . 




3,298.9 




386.0 


2,912.9 


8.9 


34.2 


61.5 


281.5 


552.7 


2,240.0 


120.2 




Macon-Warner Robins, Ga. M.S.A 


290,637 


























(Includes Bibb, Houston, Jones and 




























Peach Counties.) 




























City of: 




























Macon 


125,246 


8,087 




573 


7,514 


16 


38 


195 


324 


1,738 


5,248 


528 




Warner Robins 


46,431 


2,490 




246 


2,244 


2 


26 


55 


163 


765 


1,353 


126 




Total area actually reporting 


96.8% 


13.189 




995 


12,194 


29 


82 


287 


597 


3.443 


7,946 


805 




Estimated total 


100.0% 


13,852 




1,050 


12,802 


30 


87 


306 


627 


3,601 


8,344 


857 




Rate per 100,000 inhabitants 




4,766.1 




361.3 


4,404.8 


10.3 


29.9 


105.3 


215.7 


1.239.0 


2.870.9 


294.9 




Madison, Wi. M.S.A 


327,796 


























(Includes Dane County.) 




























City of Madison 


171.423 


11.161 




458 


10.703 


3 


67 


211 


177 


1,988 


8,207 


508 




Total area actually reporting 


95.8% 


16,226 




721 


15,505 


4 


79 


231 


407 


2,834 


11,969 


702 




Estimated total 


100.0% 


16.808 




741 


16,067 


4 


80 


235 


422 


2,931 


12,413 


723 




Rate per 100,000 inhabitants 




5,127.6 




226.1 


4,901.5 


1.2 


24.4 


71.7 


128.7 


894.2 


3,786.8 


220.6 




Manchester, N.H. M.S.A 


133,660 


























(Includes part of Hillsborough, 




























Merrimack and Rockingham 




























Counties.) 




























City of Manchester 


99,824 


5.495 




176 


5,319 


2 


8 


103 


63 


1.288 


3,613 


418 




Total area actually reporting 


100.0% 


6.931 




218 


6.713 


2 


10 


108 


98 


1.615 


4,590 


508 




Rate per 100,000 inhabitants 




5,185.5 




163.1 


5,022.4 


1.5 




80.8 


73.3 




3,434.1 


380.1 




Mansfield, Oh. M.S.A 


129,109 


























(Includes Richland County.) 




























City of Mansfield 


51,887 


3,761 




580 


3,181 


1 


34 


78 


467 


1.038 


2.010 


133 




Total area actually reporting 


98.6% 


5,818 




722 


5,096 


2 


39 


92 


589 


1,435 


3,440 


221 




Estimated total. 


100.0% 


5,890 




726 


5,164 


2 


39 


93 


592 


1.448 


3.489 


227 




Rate per 100,000 inhabitants 




4,562.0 




562.3 


3,999.7 




30.2 


72.0 


458.5 




2,702.4 


175.8 




McAllen-Edinburg-Mission, Tx. 




























M.S.A 


351,740 


























(Includes Hidalgo County.) 




























City of: 




























McAllen 


80.404 


7,078 




428 


6.650 




43 






1,447 


4.492 


711 




Edinburg 


31,334 


2,156 




113 


2.043 


1 




8 


103 


665 


1,266 


112 




Mission 


29,859 


1.682 




86 


1,596 




6 


10 


68 


307 


1,199 


90 




Total area actually reporting 


100.0% 


21,713 




1,442 


20.271 


33 


84 


178 


1,147 


6.413 


12,326 


1,532 




Rate per 100,000 inhabitants 




6,173.0 




410.0 


5,763.1 




23.9 


50.6 


326.1 


1.823.2 


3.504.3 


435.5 




Medford, Or. M.S.A 


137,291 


























(Includes Jackson County.) 




























City of Medford 


42.323 


4,000 




164 


3,836 


1 


21 






899 


2,780 






Total area actually reporting 


100.0% 


7,530 




434 


7,096 


6 


55 


91 


282 


1.777 


4.925 


394 




Rate per 100,000 inhabitants 




5.484.7 




316.1 


5,168.6 


4.4 


40.1 


66.3 


205 4 


1,294 3 


3.587.3 


287.0 





APPENDIX IV — Index of Crime, Metropolitan Statistical Areas, 1986 — Continued 



Metropolitan Statistical Area 


Population 


5f 


Modified 


Violent 


Property 


Murder 
and non- 
negligent 

slaughter 


rape 


Robbery 


Aggra- 


Burglary 


theft 


theft 


Arson' 


Melbourne I itusville-Palm Bay, Fl. 




























M.S.A 


350,489 


























(Includes Brevard County.) 




























City of: 




























Melbourne 


55,784 


5,344 






4.714 
2,049 






123 
93 


488 
181 


1,179 
647 


3,344 
1,285 






Titusville 


40,519 


2,350 




301 


6 


21 


117 




Palm Bay 


35,743 


2,333 




183 


2,150 


4 


14 


30 


135 


780 


1,269 


101 








Total area actually reporting 


100.0% 


23,162 




2,550 


20,612 


41 


103 


698 


1,708 


6,049 


13,525 


1,038 




Rate per 100,000 inhabitants 




6.608.5 




727.6 


5,880.9 


11.7 


29.4 


199.2 


487.3 


1,725.9 


3,858.9 


296.2 




Memphis, Tn.-Ar.-Ms. M.S.A 


950,786 


























(Includes Shelby and Tipton Counties. 
























































Soto County, Ms.) 




























City of Memphis 


660,255 


64,856 




10,477 


54,379 


161 


919 


5,819 


3.578 


18,329 


23,099 


12.951 




Total area actually reporting 


93.5% 


74,475 




11,262 


63.213 


186 


1,069 


6,060 


3,947 


21,245 


27,985 


13.983 






100.0% 


76,621 




11,386 


65,235 


190 


1,084 


6,095 


4.017 


22,043 


29,060 


14,132 








Rate per 100,000 inhabitants 




8,058.7 




1,197.5 


6,861.2 


20.0 


114.0 


641.0 


422.5 


2,318.4 


3,056.4 


1,486.3 




Merced, Ca. M.S.A 


163,126 


























(Includes Merced County.) 




























City of Merced . 


46,593 


3,754 




234 










142 
538 


893 
2.349 


2,478 
4,869 


149 
373 




Total area actually reporting 


100.0% 


8,337 




746 


7J591 


11 


30 


167 




Rate per 100,000 inhabitants 




5,110.8 




4573 


4,653.5 


6.7 


18.4 


102.4 


329.8 


1,440.0 


2,984.8 


228.7 




Miami-Hialeah, Fl. M.S.A 


1,814,671 


























(Includes Dade County.) 




























City of: 




























Miami 


396,374 


58,728 




11,676 


47.052 


148 


221 


5,767 


5.540 


12,371 


26,265 


8.416 




Hialeah 


161,948 


13.601 




1,512 


12,089 


21 


37 


685 


769 


2,899 


6,983 


2,207 




Total area actually reporting 


100.0% 


213,213 




32,505 


180,708 


392 


931 


14,619 


16,563 


50,148 


102,736 


27,824 




Rate per 100,000 inhabitants 




11,749.4 




1,791.2 


9,958.2 


21.6 


51.3 


805.6 


912.7 


2,763.5 


5,661.4 


1,533.3 




Middlesex-Somerset-Hunterdon, N.J. 




























M.S.A 


934,797 


























(Includes Hunterdon, Middlesex and 




























Somerset Counties.) 




























Total area actually reporting 


100.0% 


34,850 




2,002 


32.848 


14 


125 


648 


1,215 


7,359 


21,958 


3,531 




Rate per 100,000 inhabitants 




3,728.1 




214.2 


3,513.9 


1.5 


13.4 


69.3 


130.0 


787.2 


2,349.0 


377.7 




Middletown, Ct. M.S.A 


58,952 


























(Includes part of Middlesex County.) 




























City of Middletown 


39,286 


1,415 




116 


1.299 


1 


15 


45 


55 


436 


744 


119 




Total area actually reporting 


100.0% 


1.926 




157 


1,769 


1 


17 


57 


82 


526 


1,075 


168 




Rate per 100,000 inhabitants 




3,267.1 




266.3 


3,000.7 


1.7 


28.8 


96.7 


139.1 


892.3 


1,823.5 


285.0 




Midland, Tx. M.S.A 


118,511 


























(Includes Midland County.) 




























City of Midland 


101,362 


4.828 




425 


4.403 


1 


35 


54 


335 


1.842 


2,273 


288 




Total area actually reporting 


100.0% 


5,799 




547 


5.252 


2 


47 


56 


442 


2,180 


2,736 


336 




Rate per 100,000 inhabitants 




4,893.2 




461.6 


4,431.7 


1.7 


39.7 


47.3 


373.0 


1.839.5 


2,308.6 


283.5 




Milwaukee, Wi. M.S.A 


1,399,369 


























(Includes Milwaukee, Ozaukee. 




























Washington and Waukesha Counties.) 




























City of Milwaukee 5 


623,278 


48,909 




6.135 


42.774 


83 


444 


2,207 


3,401 


8.417 


28,051 


6,306 




Total area actually reporting 


100.0% 


74,883 




7,195 


67.688 


93 


496 


2.479 


4.127 


12,809 


47,347 


7,532 




Rate per 100,000 inhabitants 




5.351.2 




514.2 


4,837.0 


6.6 


35.4 


177,2 


294.9 


915.3 


3.383.5 


538.2 




Minneapolis-Saint Paul, Mn.-Wi. 




























M.S.A 


2,251,864 


























(Includes Anoka, Carver, Chisago, 




























Dakota, Hennepin, Isanti, Ramsey, 




























Scott, Washington and Wnght 




























Counties, Mn., and Saint Croix 




























County. Wi.) 




























City of: 




























Minneapolis 


362,845 


41,794 




5,959 


35.835 


44 


492 


2.801 


2.622 


10.750 


20.917 


4,168 




Saint Paul 


269,250 


21,326 




2,401 


18,925 


12 


239 


794 


1.356 


6,605 


10,994 


1,326 




Total area actually reporting 


100.0% 


128.440 




10,214 


118,226 


77 


974 


4,100 


5,063 


30,405 


78,492 


9,329 




Rate per 100,000 inhabitants 




5.703.7 




453.6 


5,250.1 


3.4 


43.3 


182.1 


224.8 


1,350.2 


3,485.6 


414.3 




Mobile, Al. M.S.A 


473,005 


























(Includes Baldwin and Mobile 




























Counties.) 




























City of Mobile 6 


208.148 


20,133 




3.525 


16,608 


47 


124 


798 


2,556 


7,949 


7,683 


976 




Total area actually reporting 


100.0% 


30,697 




5.050 


25,647 


73 


191 


1.052 


3.734 


11,143 


13,043 


1.461 




Rate per 100,000 inhabitants 




6.489.8 




1,067.6 


5,422.1 


15.4 


40.4 


222.4 


789.4 


2.355.8 


2,757.5 


308.9 




Modesto, Ca. M.S.A 


311,378 


























(Includes Stanislaus County.) 




























City of Modesto 


128.715 


11,116 




706 


10,410 




61 


244 


395 


2.904 


6,781 


725 




Total area actually reporting 


100.0% 


23,570 




1,952 


21,618 


22 


126 


445 


1.359 


6.896 


13,442 


1.280 




Rate per 100.000 inhabitants 




7,569.6 




626.9 


6,942.7 


7.1 


40.5 


142.9 


4364 


2.214.7 


4,316.9 


411.1 




Monmouth-Ocean, N.J. M.S.A 


913,198 


























(Includes Monmouth and Ocean 
Counties.) 

Total area actually reporting 




























100.0% 


39,223 




3.048 


36,175 


17 


241 


682 


2,108 


8.681 


24,467 


3,027 




Rate per 100,000 inhabitants 




4,295.1 




333.8 


3,961.4 


1.9 


26.4 


74.7 


230.8 


950.6 


2,679.3 


331.5 





APPENDIX IV — Index of Crime, Metropolitan Statistical Areas, 1986 — Continued 
















Metropolitan Statistical Area 


Population 


S 


Modified 
Cnme 


Violent 


Property 


Murder 
negligent 


rape 


...» 


Aggra- 
vated 


Burglary 


theft 


theft 


W 


Monroe La M S A 


143,883 


























(Includes Ouachita Parish.) 




























City of Monroe 


56,451 


4,476 




865 


3,611 


3 


32 


69 


761 


1,093 


2,367 


151 




Total area actually reporting 


100.0% 


7,101 




1.092 


6,009 


12 


65 


93 


922 


1,762 


4,014 


233 




Rate per 100,000 inhabitants 




4,935.3 




758.9 


4,176.3 


8.3 


45.2 


64.6 


640.8 


1,224.6 


2,789.8 


161.9 




Montgomery, Al. M.S.A 


292,173 


























(Includes Autauga, Elmore and 




























Montgomery Counties.) 




























City of Montgomery 


187,873 


10,185 




395 


9,790 


21 


28 


174 


172 


2,189 


7,102 


499 




Total area actually reporting 


99.6% 


13,333 




908 


12,425 


31 


53 


233 


591 


3,071 


8,720 


634 




Estimated total 


100.0% 


13,400 




917 


12.483 


31 


53 


235 


598 


3,086 


8,759 


638 




Rate per 100,000 inhabitants ... 




4,586.3 




313.9 


4,272.5 


10.6 


18.1 


80.4 


204.7 


1,056.2 


2,997.9 


218.4 






156,828 


























(Includes Muskegon County.) 




























City of Muskegon 


39,843 


4,755 




1,096 


3,659 


3 


44 


100 


949 


916 


2,616 


127 




Total area actually reporting 


100.0% 


9,985 




1.558 


8,427 


5 


90 


167 


1,296 


2,046 


6,050 


331 




Rate per 100,000 inhabitants 




6.366.8 




993.4 


5,373.4 


3.2 


57.4 


106.5 


826.4 


1,304.6 


3.857.7 


211.1 




Naples, Fl. M.S.A 


117,857 


























(Includes Collier County.) 




























City of Naples 


20,654 


1.588 




120 


1,468 


1 


7 


38 


74 


240 


1,170 


58 




Total area actually reporting 


100.0% 


7,366 




685 


6,681 


12 


64 


189 


420 


2,052 


4,259 


370 




Rate per 100,000 inhabitants 




6,249.9 




581.2 


5,668.7 


10.2 


54.3 


160.4 


356.4 


1,741.1 


3,613.7 


313.9 




Nashua, N.H. M.S.A 


157,602 


























(Include part of Hillsborough and 




























Rockingham Counties.) 




























City of Nashua 


76,188 


2,863 




83 


2,780 


4 


41 


26 


12 


505 


1,986 


289 




Total area actually reporting 


100.0% 


4,634 




196 


4,438 


6 


59 


32 


99 


875 


3,156 


407 




Rate per 100,000 inhabitants 




2,940.3 




124.4 


2,816.0 


3.8 


37.4 


20.3 


62.8 


555.2 


2,002.5 


258.2 




Nashville, Tn. M.S.A 


892,227 


























(Includes Cheatham, Davidson, 




























Dickson, Robertson, Rutherford, 




























Sumner, Williamson and Wilson 




























Counties.) 




























City of Nashville 


470,906 


38,240 




4,218 


34,022 


93 


410 


1,953 


1,762 


11,380 


19,730 


2,912 




Total area actually reporting 


87.3% 


48.793 




5,247 


43,546 


114 


491 


2,120 


2,522 


14,232 


25,755 


3,559 




Estimated total 


100.0% 


52,074 




5,523 


46,551 


121 


523 


2,171 


2,708 


15,308 


27,401 


3.842 




Rate per 100,000 inhabitants 




5,836.4 




619.0 


5,217.4 


13.6 


58.6 


243.3 


303.5 


1,715.7 


3,071.1 


430.6 




Newark, N.J. M.S.A 


1,901,657 


























(Includes Essex, Moms, Sussex and 




























Union Counties.) 




























City of Newark 


318,801 


40,477 




10,160 


30,317 


113 


589 


5,464 


3,994 


5,654 


11,745 


12.918 




Total area actually reporting 


100.0% 


116,990 




18,572 


98,418 


191 


1,069 


9,802 


7,510 


20,838 


51,430 


26,150 




Rate per 100,000 inhabitants 




6,152.0 




976.6 


5,175.4 


10.0 


56.2 


515.4 


394.9 


1,095.8 


2,704.5 


1,375.1 




New Bedford, Ma. M.S.A 


171,939 


























(Includes part of Bristol and 




























Plymouth Counties.) 




























City of New Bedford 


98,318 


5,921 




790 


5.131 


2 


25 


208 


555 


1,634 


2,537 


960 




Total area actually reporting 


88.8% 


8,366 




874 


7,492 


2 


27 


227 


618 


2,317 


3.708 


1,467 




Estimated total 


100.0% 


9.000 




920 


8,080 


2 


30 


238 


650 


2,468 


4,034 


1.578 




Rate per 100,000 inhabitants 




5,234.4 




535.1 


4,699.3 


1.2 


17.4 


138.4 


378.0 


1,435.4 


2,346.2 


917.8 




New Britain, Ct. M.S.A 


144,664 


























(Includes part of Hartford County.) 




























City of New Britain 


73,337 


5,494 




448 


5,046 


3 


33 


248 


164 


1,361 


3.303 


382 




Total area actually reporting 


100.0% 


7.851 




534 


7,317 


3 


48 


275 


208 


1,996 


4,763 


558 




Rate per 100,000 inhabitants 




5,427.1 




369.1 


5,057.9 


2.1 


33.2 


190.1 


143.8 


1,379.7 


3,292.5 


385.7 




New Haven-Meriden, Ct. M.S.A 


540,394 


























(Includes part of Middlesex and New 




























Haven Counties.) 




























City of: 




























New Haven 


125,558 


14,416 




2,274 


12,142 


17 


138 


1,174 


945 


3.455 


7,206 


1,481 




Meriden 


58,629 


2,544 




123 


2,421 


1 


15 


58 


49 


758 


1,505 


158 




Total area actually reporting . 


100.0% 


30,213 




2,983 


27,230 


25 


188 


1,440 


1,330 


7,453 


17.080 


2.697 




Rate per 100,000 inhabitants 




5,590.9 




552.0 


5,038.9 


46 


34.8 


2665 


246.1 


1,379.2 


3.160.7 


499.1 




New London-Norwich, Ct.-R.I. 




























M.S.A 


273,419 


























(Includes part of New London and 




























Windham Counties, Ct., and 




























Washington County, R.I.) 




























City of: 




























New London 


28,799 


2,332 




174 


2,158 


1 


7 


87 


79 


729 


1,249 


180 




Norwich 


38,829 


1.798 




129 


1.669 


2 


7 




76 


372 


1,169 


128 




Total area actually reporting 


100.0% 


9,899 




667 


9,232 


7 


57 


181 


422 


2,622 


5,932 


678 




Rale per 100,000 inhabitants 




3,620.5 




243.9 


3,376.5 


2.6 


20.8 


662 


154.3 


959.0 


2,169.6 


248.0 





APPENDIX IV — Index of Crime, Metropolitan Statistical Areas, 1986 — Continued 
















Metropolitan Statistical Area 


— 


5 


Modified 
Crime 
Index 


25' 


Properly 


negligent 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 


Burglary 


theft 


thefi 


A rW 


New Orleans, La. M.S.A 


1,330,143 


























(Includes Jefferson, Orleans. Saint 




























Bernard, Saint Charles, Saint John the 




























Baptist and Saint Tammany Parishes.) 




























City of New Orleans 


563,927 


56.889 




9,165 


47,724 


197 


456 


5,165 


3.347 


11.561 


26,697 


9,466 




Total area actually reporting 


83.1% 


94.346 




13.135 


81,211 


250 


684 


6.397 


5,804 


20.659 


48,178 


12.374 




Estimated total... 


100.0% 


107,069 




14,417 


92,652 


266 


755 


6.653 


6.743 


23,534 


56.094 


13.024 




Rate per 100,000 inhabitants 




8.049.4 




1.083.9 


6,965.6 


20.0 


56.8 


500.2 


506.9 


1,769.3 


4.217.1 


979.1 




New York, N.Y. M.S.A 


8,394.246 


























(Includes Bronx, Kings, New York, 




























Putnam, Queens, Richmond, Rockland 




























and Westchester Counties.) 




























City of New York 


7,179,609 


635,199 




143,251 


491,948 


1.582 


3.536 


80.827 


57,306 


124.382 


281,713 


85,853 




Total area actually reporting 


99.4% 


680,116 




147,162 


532,954 


1.614 


3,692 


82,544 


59,312 


133,720 


309,051 


90,183 




Estimated total 


100.0% 


681.700 




147,280 


534,420 


1,616 


3,698 


82,583 


59,383 


134,070 


310,047 


90,303 




Rate per 100,000 inhabitants 




8,121.0 




1,754.5 


6,366.5 


19.3 




983.8 


707.4 


1,597.2 


3,693.6 


1.075.8 




Niagara Falls, N.Y. M.S.A 


219,946 


























(Includes Niagara County.) 




























City of Niagara Falls 


66,578 


4,217 




344 


3,873 


5 


48 


171 


120 


1,154 


2.500 


219 




Total area actually reporting 


100.0% 


9.178 




763 


8,415 


11 


80 


234 


438 


2.342 


5,618 


455 




Rate per 100,000 inhabitants 




4,172.8 




346.9 


3,825.9 


5.0 


36.4 


106.4 


199.1 


1.064.8 


2.554.3 


206.9 




Norfolk-Virginia Beach-Newport 




























News, Va. M.S.A 


1,295.067 


























(Includes Gloucester, James City and 




























York Counties, and Chesapeake. 




























Hampton, Newport News, Norfolk. 




























Portsmouth, Poquoson. Suffolk. 




























Virginia Beach, and Williamsburg 




























Cities.) 




























City of: 




























Norfolk 


287.199 


19.255 




2,207 


17.048 


46 


177 


1.050 


934 


4,236 


1 1,644 


1,168 




Virginia Beach 


316,959 


17.712 




736 












4,474 
1.891 




753 
559 




Newport News 


158.714 


8,141 




875 


7^266 


15 


77 


339 


444 


4.816 




Total area actually reporting 


100.0% 


70.965 




6,119 


64,846 


131 


548 


2,485 


2,955 


16,359 


44,832 


3.655 




Rate per 100,000 inhabitants 




5,479.6 




472.5 


5,007.2 


10 1 


42.3 


191.9 


228.2 


1,263.2 


3,461.8 


282.2 




Norwalk, Ct. M.S.A 


128,968 


























(Includes part of Fairfield County ) 




























City of Norwalk 


79.051 


5.286 




246 


5,040 


3 


7 


125 


1 11 


1.487 


3.104 


449 




Total area actually reporting 


100.0% 


6.886 




268 


6,618 


3 


8 


134 


123 


1.801 


4,284 


533 




Rate per 100.000 inhabitants 




5,339.3 




207.8 


5,131.5 


2.3 


6.2 


103.9 


95.4 


1.396.5 


3,321.8 


413.3 




Oakland, Ca. M.S.A 


1,970,633 


























(Includes Alameda and Contra Costa 




























Counties.) 




























City of Oakland 


370,556 


45,947 




6.985 




129 


538 














Total area actually reporting 


100.0% 


148.801 




17,724 


131,077 


228 


1,081 


7.753 


8,662 


36^579 


83,266 


11,232 




Rate per 100,000 inhabitants 




7,550.9 




899.4 


6,651.5 


11.6 


54.9 


393.4 


439.6 


1,856.2 


4,225.3 


570.0 




Ocala, Fl. M.S.A 


165,493 


























(Includes Manon County.) 




























City of Ocaia 


45,605 


5.797 




520 


5.277 


4 


25 


187 


304 


1,696 


3,403 


178 




Total area actually reporting 


100.0% 


10.923 




1,306 


9,617 


11 


79 


290 


926 


3,656 


5,588 


373 




Rate per 100.000 inhabitants 




6,600.3 




789.2 


5.811.1 




47.7 


175.2 


559.5 


2,209.2 


3,376.6 


225.4 




Odessa, Tx. M.S.A 


150,743 


























(Includes Ector County.) 




























City of Odessa 


113.404 


10.575 




624 


9,951 


14 


51 


148 


411 


2.876 


6.671 


404 




Total area actually reporting 


100.0% 


12.638 




746 


11.892 


19 


92 


175 


460 


3.589 


7.746 


557 




Rate per 100,000 inhabitants 




8.383.8 




494.9 


7.888.9 


12.6 


61.0 


116.1 


305.2 


2,380.9 


5,138.5 


369.5 




Oklahoma City, Ok. M.S.A 


964,810 


























(Includes Canadian. Cleveland, Logan, 




























McClain, Oklahoma and Pottawatomie 




























Counties.) 




























City of Oklahoma City 


444,119 


57,394 




4.239 


53,155 


60 


425 


1.484 


2.270 


17,048 


29,404 


6,703 




Total area actually reporting 


100.0% 


89,330 




5,934 


83,396 


104 


563 


1,908 


3,359 


26.483 


47,515 


9,398 




Rate per 100,000 inhabitants 




9,258.8 




615.0 


8,643.8 


10.8 


58.4 


197.8 


348.2 


2,744.9 


4,924.8 


974.1 




Olympia, Wa. M.S.A 


141,969 


























(Includes Thurston County.) 




























City of Olympia 


29.941 


2,210 




65 


2,145 


3 


16 


16 


30 


342 


1.704 


99 




Total area actually reporting 


99.0% 


7,185 




303 


6,882 


8 


75 




172 


1.763 


4,795 


324 




Estimated total 


100.0% 


7.301 




308 


6,993 


8 


76 


49 


175 


1.787 


4.877 


329 




Rate per 100,000 inhabitants 




5,142.7 




216.9 


4,925.7 


5.6 


53.5 


34.5 


123.3 


1,258.7 


3.435.3 


231.7 




Omaha, Nb.-Ia. M.S.A 


603,051 


























(Includes Douglas, Sarpy and 




























Washington Counties, No., and 




























Pottawattamie County, la.) 




























City of Omaha 


332,368 


22.511 




2.726 


19,785 


30 


225 


627 


1.844 


4.643 


13,927 


1,215 




Total area actually reporting 


100.0% 


31.115 




3.267 


27,848 


38 


273 


765 


2.191 


6,647 


19,456 


1.745 




Rate per 100,000 inhabitants 




5.159.6 




541.7 


4,617.9 


6.3 


45.3 


126.9 


363.3 


1.102.2 


3,226.3 


289.4 





See footnotes at end of table. 



APPENDIX IV — Index of Crime, Metropolitan Statistical Areas, 1986 — Continued 




























Murder 
















Metropolitan Statistical Area 


Population 


Sf 


Index 


Violent 


p s y 


and non- 
neghgent 


Forcible 
rape 


Robbery 


Aggra- 


Burglary 


u s~ 


vehicle 
theft 


Arson' 


Orange County, N.Y. M.S.A 


274,113 


























(Includes only Orange County.) 




























Total area actually reporting 


97.8% 


10,171 




1,146 


9,025 


10 


63 


308 


765 


2.677 


5.832 


516 




Estimated total 


100.0% 


10,378 




1,162 


9,216 


10 


64 


313 


775 


2,720 


5.966 


530 




Rate per 100,000 inhabitants 




3,786.0 




423.9 


3,362.1 


36 


23.3 


114.2 


282.7 


992 3 


2,1765 


1934 




Orlando, Fl. M.S.A 


876,632 


























(Includes Orange, Osceola and 




























Seminole Counties.) 




























City of Orlando 


145,882 


17,797 




3.416 


14,381 


14 


172 


1.229 


2,001 


4.335 


9,134 


912 




Total area actually reporting 


100.0% 


66.952 




9.195 


57,757 


63 


451 


2,833 


5,848 


17,497 


36,635 


3,625 




Rate per 100,000 inhabitants 




7,637.4 




1,048.9 


6,588.5 


7.2 


51.4 


323.2 


667 1 


1.995.9 


4.179.1 


413.5 




Owensboro, Ky. M.S.A 


88,387 


























(Includes Daviess County.) 




























City of Owensboro 


55,797 


2,813 




87 


2,726 


5 


30 


25 


27 


702 


1.903 


121 




Total area actually reporting 


100.0% 


3,367 




115 


3.252 


5 


32 


28 


50 


900 


2,210 


142 




Rate per 100,000 inhabitants 




3.809.4 




130.1 


3.679.3 


5.7 


36.2 


31.7 




1.018.2 


2,500.4 


160.7 




Oxnard-Ventura, Ca. M.S.A 


615,734 


























(Includes Ventura County.) 




























City of: 






























127,578 


8,476 




1.145 


7.331 


13 




398 


640 


2,234 


4,466 


631 




Ventura .. 


91.038 


5,087 




493 


4,594 


6 


32 


168 


287 


1,272 


2,984 


338 




Total area actually reporting 


100.0% 


26,460 




2,901 


23,559 


41 


205 


830 


1,825 


7,252 


14,408 


1,899 




Rate per 100,000 inhabitants 




4,297.3 




471.1 


3,826.2 


6.7 


33.3 


134.8 


296.4 


1,177.8 


2,340.0 


308.4 




Panama City, Fl. M.S.A 


115,421 


























(Includes Bay County.) 




























City of Panama City 


36,237 


3,628 




223 


3.405 


7 


25 


54 


137 


654 


2,609 


142 




Total area actually reporting 


100.0% 


7.503 




619 


6,884 


16 


85 


115 


403 


1,658 


4,787 


439 




Rate per 100,000 inhabitants 




6.500.6 




536.3 


5,964.3 


13.9 


73.6 


996 


349,2 


1,436.5 


4,147.4 


380.3 




Parkersburg-Marietta, W.V.-Oh. 




























M.S.A 


156,269 


























(Includes Wood County, W.V., and 




























Washington County. Oh.) 




























City of: 




























Parkersburg, W.V 


38.707 


1,810 




104 


1,706 




15 


37 


49 


456 


1,130 


120 




Marietta, Oh 


16,509 


424 




55 


369 


1 


6 


9 


39 


97 


244 


28 




Total area actually reporting 


99.5% 


4.087 




228 


3,859 


5 


29 


62 


132 


1,026 


2,615 


218 




Estimated total 


100.0% 


4,115 




229 


3,886 


5 


29 


62 


133 


1,031 


2,635 


220 




Rate per 100,000 inhabitants 




2,633.3 




146.5 


2,486.7 


3.2 


18.6 


39.7 


85.1 


659.8 


1.686.2 


140.8 




Pascagoula, Ms. M.S.A 


124,843 


























(Includes Jackson County.) 




























City of Pascagoula 


30,398 


2,510 




264 


2,246 




20 


51 


192 


676 


1,460 


110 




Total area actually reporting 


100.0% 


5,744 




437 


5.307 


4 


40 


86 


307 


1.745 


3,281 


281 




Rate per 100,000 inhabitants 




4,601.0 




350.0 


4,250.9 


3.2 


32.0 


68.9 


245.9 


1,397.8 


2,628.1 


225.1 




Pensacola, Fl. M.S.A 


338,971 


























(Includes Escambia and Santa Rosa 




























Counties.) 




























City of Pensacola 


65.945 


4,914 




658 


4.256 


11 


38 


157 


452 


1,268 


2.830 


158 




Total area actually reporting 


100.0% 


22,321 




3,270 


19,051 


28 


248 


585 


2,409 


5,702 


12.373 


976 




Rate per 100,000 inhabitants 




6,584.9 




964.7 


5,620.2 


8.3 


73.2 


172.6 


710.7 


1,682.1 


3,650.2 


287.9 




Peoria, 11. M.S.A. 4 


357,160 


























(Includes Peoria, Tazewell and 




























Woodford Counties.) 




























City of Peoria 


117,530 


9,788 




1,293 


8,495 


4 


50 


258 


981 


2,360 


5,875 


260 




Total area actually reporting 


99.6% 








13,459 


5 




288 


1,221 


3,729 


9,299 


431 




Estimated total 


100.0% 








13,523 






289 


1,224 


3,743 


9,343 


437 




Rate per 100,000 inhabitants 










3,786.3 


1.4 




80.9 


342.7 


1,048.0 


2,615.9 


122.4 




Philadelphia, Pa.-N.J. M.S.A 


4,779,659 


























(Includes Bucks, Chester, Delaware, 




























Montgomery and Philadelphia 




























Counties, Pa., and Burlington. 




























Camden and Gloucester Counties, 
N.J.) 

City of Philadelphia 




























1.645,144 


86,094 




17,207 


68,887 


343 


1,086 


9.647 


6,131 


19.174 


36,619 


13.094 




Total area actually reporting 


99.9% 


204.040 




29,100 


174,940 


465 


1,818 


13,081 


13,736 


44.809 


105,118 


25.013 




Estimated total 


100.0% 


204,142 




29,108 


175,034 


465 


1.818 


13,083 


13,742 


44,830 


105,182 


25,022 




Rate per 100,000 inhabitants 




4,271.1 




6090 


3,662.1 


9.7 


38.0 


273.7 


287.5 


937.9 


2,200.6 


523.5 




Phoenix, Az. M.S.A 


1,863,102 


























(Includes Maricopa County.) 




























City of Phoenix 


927,055 


89,374 




9,238 


80,136 


122 


567 


2,972 


5,577 


25,586 


48,896 


5.654 




Total area actually reporting 


100.0% 


153,004 




13,684 


139,320 


186 


888 


3,997 


8,613 


40.246 


89,962 


9.112 




Rate per 100,000 inhabitants 




8,212.3 




734.5 


7,477.9 


10.0 


47.7 


214.5 


462.3 


2.160.2 


4,828.6 


489.1 




Pine Bluff, Ar. M.S.A 


91,443 


























(Includes Jefferson County.) 




























City of Pine Bluff 


56,403 


3,820 




569 


3,251 


7 


27 


89 


446 




2,165 


135 




Total area actually reporting 


100.0% 


4.492 




654 


3,838 


7 


41 


94 


512 


1.197 


2.477 






Rate per 100,000 inhabitants 




4,912.3 




715.2 


4,197.2 


7.7 


44.8 


102.8 


559.9 


1.309.0 


2.708.8 


179.3 





APPENDIX IV — Index of Crime, Metropolitan Statistical Areas, 1986 — Continued 



SuiMk.il Art.. 



Pittsburgh, Pa. M.S.A 

(Includes Allegheny, Fayette, 
Washington and Westmoreland 
Counties.) 

City of Pittsburgh 

Total area actually reporting 

Estimated total 

Rate per 100.000 inhabitants 

Pittsfield, Ma. M.S.A 

(Includes part of Berkshire County.) 

City of Pittsfield 

Total area actually reporting 

Rate per 100.000 inhabitants 

Portland, Me. M.S.A 

(Includes part of Cumberland and 
York Counties.) 

City of Portland 

Total area actually reporting 

Rate per 100.000 inhabitants 

Portland, Or. M.S.A 

(Includes Clackamas. Multnomah. 
Washington and Yamhill Counties.) 

City of Portland 

Total area actually reporting 
Rate per 100.000 inhabitants 
Portsmouth-Dover-Rochester, N.H.- 

Me. M.S.A 

(Includes Rockingham and Strafford 
Counties. N.H.. and York County, 
Me.) 

City of: 
Portsmouth 

Rochester 
Total area actually reporting 
Rate per 100.000 inhabitants 

Poughkeepsie, N.Y. M.S.A 

(Includes Dutchess County.) 

City of Poughkeepsie 

Total area actually reporting 
Rate per 100.000 inhabitants 

Providence, R.I. M.S.A 

(Includes part of Bnstol, Kent, 
Newport, Providence and Washington 
Counties.) 

City of Providence 

Total area actually reporting 

Estimated total 

Rate per 100.000 inhabitants 

Provo-Orem, Ut. M.S.A 

(Includes Utah County.) 
City of: 

Total area actually reporting 
Rate per 100.000 inhabitants 

Pueblo, Co. M.S.A 

(Includes Pueblo County.) 

City of Pueblo 

Total area actually reporting 
Rate per 100.000 inhabitants 

Racine, Wi. M.S.A 

(Includes Racine County.) 

City of Racine 

Total area actually reporting 
Rate per 100,000 inhabitants 

Raleigh-Durham, N.C. M.S.A 

(Includes Durham, Franklin, Orange 
and Wake Counties.) 
City of: 

Raleigh 

Durham 

Total area actually reporting 

Estimated total 

Rate per 100.000 inhabitants 
See footnotes at end of table. 



50.639 
87.2% 

KMiii-; 



156,251 
99.3% 
100.0% 



173,901 
104.750 
99.8% 

1000% 



32,008 
68,704 
69.377 



2,380 

2,810 

2.752.4 



35,229 
35,381 
5.491.5 



7,253 
9,669 

5.540.8 



9,826 
34,987 
35.057 
5.60621 



2.651 
2,659 
425.2 



5t..s5H 
94.926 

s.:7M ; 



32.336 
32,398 
5.181.0 



3,887 
4.510 
393.3 



4.433 
5,324 
464.3 



15.829 
15.965 
736.0 



17,236 
29.775 
2.596.9 



2,284 
2,690 
8,692 



29,894 
30,316 
1,3975 



35.722 
58.463 
5.099.C 



3.987 
5,587 
3.201 6 



7,712 
6,049 
21.758 
21,800 
3,486.2 



APPENDIX IV — Index of Crime, Metropolitan Statistical Areas, 1986 — Continued 
















Metropolitan Statistical Area 


— 


s 


Modified 


Violent 


Property 


"man-"' 


Forcible 


Robbery 


Aggra- 


Burglary 


1ST 


theft 


A.W 


Rapid City, S.D. M.S.A 


74,949 


























(Includes Pennington County.) 




























City of Rapid City 


49,300 


3,859 




249 


3,610 


3 


28 


47 


171 


660 


2,797 


153 




Total area actually reporting . 


100.0% 


4.476 




317 


4,159 


3 


43 


50 


221 


815 


3.156 


188 




Rate per 100,000 inhabitants 




5,972.1 




423.0 


5,549.1 


4.0 


57,4 


66.7 


294.9 


1,087.4 


4,210.9 


250.8 




Reading, Pa. M.S.A 


316,895 


























(Includes Berks County.) 




























City of Reading 


78.290 


5.562 




632 


4,930 


5 


31 


323 


273 


1,751 


2,822 


357 




Total area actually reporting 


96.8% 


9,567 




816 


8.751 


6 


43 


361 


406 


2,730 


5,438 


583 




Estimated total 


100.0% 


9.827 




837 


8,990 


6 


44 


366 


421 


2,783 


5,601 


606 




Rate per 100,000 inhabitants 




3,101.0 




264.1 


2,836.9 


1.9 


13.9 


115.5 


132.9 


878.2 


1.767.5 


191.2 




Redding, Ca. M.S.A 


133,202 


























(Includes Shasta County.) 




























City of Redding 


50,876 


4,153 




387 


3,766 


3 


28 


63 


293 


1,114 


2,420 


232 




Total area actually reporting 


100.0% 


7,712 




803 


6,909 


12 


57 


89 


645 


2,222 


4,270 


417 




Rate per 100,000 inhabitants 




5,789.7 




602.8 


5,186.9 


9.0 


42.8 


66.8 


484.2 


1.668.1 


3,205.7 


313.1 




Reno, Nv. M.S.A 


223,645 


























(Includes Washoe County.) 




























City of Reno 


111,665 


9,819 




872 


8,947 


8 


79 


375 


410 


2,470 


5.855 


622 




Total area actually reporting 


100.0% 


14.917 




1,363 


13.554 


16 


181 


476 


690 


3.664 


8,987 


903 




Rate per 100,000 inhabitants 




6,669.9 




609.4 


6,060.5 


7.2 




212.8 


308.5 


1,638.3 


4,018.4 


403.8 




Richland-Kennewick-Pasco, Wa. 




























M.S.A 


153,048 


























(Includes Benton and Franklin 




























Counties.) 




























City of: 




























Richland 


33,916 


1,517 




49 


1.468 






9 


30 


342 


1.087 


39 




Kennewick 


40,044 


3,676 




126 


3,550 


2 


19 


37 


68 


915 


2,519 


116 




Pasco 


19,585 


2,779 




215 


2.564 


5 


15 


67 


128 


780 


1,677 


107 




Total area actually reporting 


100.0% 


9,799 




506 


9,293 


11 


59 


119 


317 


2.758 


6.202 


333 




Rate per 100,000 inhabitants 




6,402.6 




330.6 


6,072.0 


7.2 


38.5 


77.8 


207.1 


1,802.0 


4,052.3 


217.6 




Richmond-Petersburg, Va. M.S.A 


817,462 


























(Includes Colonial Heights, Hopewell, 




























Petersburg and Richmond Cities and 




























Charles City, Chesterfield, Dinwiddle, 




























Goochland. Hanover, Henrico, New 




























Kent, Powhatan and Prince George 




























Counties.) 




























City of: 




























Richmond 


224,943 


18,257 




2,586 


15.671 


82 


207 


1.017 


1,280 


4,481 


10,051 


1.139 




Petersburg 


41,881 


3,032 




315 


2,717 


4 


24 


116 


171 


736 


1.863 


118 




Total area actually reporting 


100.0% 


41,013 




3,962 


37,051 


108 


367 


1,418 


2,069 


9,210 


25,633 


2,208 




Rate per 1 00.000 inhabitants 




5,017.1 




484.7 


4,532.4 


13.2 


44.9 


173.5 


253.1 


1,126.7 


3,135.7 


270.1 




Riverside-San Bernardino, Ca. 




























M.S.A 


1,906,891 


























(Includes Riverside and San 




























Bernardino Counties.) 




























City of: 




























Riverside 


191,908 


16,845 




2,166 


14,679 


25 


122 


633 


1,386 


5,011 


8,346 


1,322 






137,304 


16,337 




2,341 


13,996 


32 


94 


968 


1,247 


4,918 


7,484 


1,594 




Total area actually reporting 


100.0% 


141,770 




18,047 


123,723 


217 


824 


4,606 


12,400 


45,598 


65,379 


12,746 




Rate per 100,000 inhabitants 




7,434.6 




946.4 


6,488.2 


11.4 


43.2 


241.5 


650.3 


2,391.2 


3,428.6 


668.4 




Roanoke, Va. M.S.A 


228,634 


























(Includes Roanoke and Salem Cities, 




























and Botetourt and Roanoke Counties.) 




























City of Roanoke 


103,394 


7.995 




491 


7.504 


12 


32 


204 


243 


1,730 


5,533 


241 




Total area actually reporting 


100.0% 


11,391 




632 


10,759 


20 


45 


230 


337 


2,328 


8,035 


396 




Rate per 100,000 inhabitants 




4,982.2 




276.4 


4,705.8 


8.7 


19.7 


100.6 


147.4 


1,018.2 


3,514.4 


173.2 




Rochester, Mn. M.S.A 


97,458 


























(Includes Olmsted County.) 




























City of Rochester 


58,883 


2.750 




76 


2,674 




14 


26 


36 


457 


2,119 


98 




Total area actually reporting 


100.0% 


3,232 




91 


3,141 


1 


19 


27 


44 


629 


2,378 


134 




Rate per 100,000 inhabitants 




3,316.3 




93.4 


3,222.9 


1.0 


19,5 


27.7 


45.1 


645.4 


2,440.0 


137.5 




Rochester, N.Y. M.S.A 


989,002 


























(Includes Livingston, Monroe, Ontario, 




























Orleans and Wayne Counties.) 




























City of Rochester 


243.065 


22,728 




3,163 


19,565 


38 


178 


1.059 


1.8S8 


5.813 


12,476 


1.276 




Total area actually reporting 


100.0% 


46,509 




4.210 


42,299 


53 


266 


1,290 


2.601 


9.930 


30.302 


2.067 




Rate per 100,000 inhabitants 




4,702.6 




425.7 


4,276.9 


5.4 


26.9 


130.4 


263.0 


1.004.0 


3.063.9 


2090 




Rocktord, 11. M.S.A.* 


279,793 


























(Includes Boone and Winnebago 




























Counties.) 




























City of Rockford 4 


137,017 








10,822 


12 




397 


729 


3,737 


6,660 


425 




Total area actually reporting 


100.0% 








16.639 


18 




450 


943 


5.173 


10,825 


641 




Rate per 100,000 inhabitants 










5.946.9 


6.4 




160.8 


337.0 


1,848.9 


3,868.9 


229 1 





APPENDIX IV — Index of Crime, Metropolitan Statistical Areas, 1986 — Continued 



Sacramento, Ca. M.S.A 

(Includes E! Dorado, Placer, 
Sacramento and Yolo Counties.) 

City of Sacramento 

Total area actually reporting 

Rate per 100,000 inhabitants 

Saginaw-Bay City-Midland, Mi. 

M.S.A 

(Includes Bay. Midland and Sagin 

City of: 

Saginaw 

Bay City 

Midland 

Total area actually reporting 
Rate per 100,000 inhabitants 

Saint Cloud, Mn. M.S.A 

(Includes Benton. Sherburne and 



i ,-un 



City of Saint Cloud 

Total area actually reporting 

Rate per 100.000 inhabitants 

Saint Joseph, Mo. M.S.A 

(Includes Buchanan County.) 

City of Saint Joseph 

Total area actually reporting 
Rate per 100,000 inhabitants 

Saint Louis, Mo.-IL M.S.A 

(Includes Saint Louis City and 
Franklin, Jefferson. Saint Charles and 
Saint Louis Counties. Mo., and 
Clinton. Jersey. Madison. Monroe, and 
Saint Clair Counties, II.) 

City of Saint Louis 

Total area actually reporting 

Estimated total 

Rate per 100,000 inhabitants 

Salem, Or. M.S.A 

(Includes Marion and Polk Counties.) 

City of Salem 

Total area actually reporting 

Estimated total 

Rate per 100,000 inhabitants 
Salinas-Seaside-Monterey, Ca. M.S.A. 
(Includes Monterey County.) 
City of: 

Salinas 

Seaside 

Monterey 

Total area actually reporting 

Rate per 100,000 inhabitants 

Salt Lake City-Ogden, Ut. M.S.A 

(Includes Davis, Salt Lake and Weber 
Counties.) 
City of: 

Salt Lake City 

Ogden 

Total area actually reporting 
Rate per 100,000 inhabitants 

San Angelo, Tx. M.S.A 

(Includes Tom Green County.) 
City of San Angelo 
Total area actually reporting 
Rate per 100,000 inhabitants 

San Antonio, Tx. M.S.A 

(Includes Bexar, Comal and 
Guadalupe Counties.) 

City of San Antonio 

Total area actually reporting 
Rate per 100,000 inhabitants 

San Diego, Ca. M.S.A 

(Includes San Diego County.) 

City of San Diego 

Total area actually reporting 

Rate per 100.000 inhabitants 

See footnotes at end of table. 



91,123 
99.3% 
100.0% 



92.244 
39.669 
30,271 
100.0% 



35,069 
95,508 

7,436.8 



74,234 


8,011 


40.227 


2,054 


38.199 


1,423 


100.0% 


20,933 




5.045.6 


173,470 




42,582 


2,808 


100.0% 


5,548 




3,198.2 


87,399 




75,732 


4.342 


100.0% 


4.635 




5,303.3 



124.615 
128.379 

5,274.3 



17,755 
17,866 
6,955.0 



2,367 
2,119 

19,486 
5,796.9 



5,143 
5,644 
5,634.9 



100,209 
118.952 
9,592.2 



107,958 
4.577.3 



19,036 

6,319 

64,277 

6.218.1 



71.225 
125.300 
5.765.3 



3.326 
5,246 
5,302 
217.8 



1,319 
1.465 

1.676.2 



12.523 
30.184 
31,187 
1.281.3 



17,533 
33,969 
1.563.0 



17.643 
53,079 
4,133.0 



2,536 
2,656 
3,038.9 



3,432 
3,698 
3.692.0 



40.459 
69,568 
3,201.0 



APPENDIX IV — Index of Crime, Metropolitan Statistical Areas, 1986 — Continued 



Metropolitan Statistical Area 


'— 


?„x c 


Modified 
Crime 
Index 


» 


w 


negligent 
slaughter 


Forcible 


— 


Aggra- 
vated 


Burglary 


■sr 


vehicle 


w 


San Francisco, Ca. M.S.A 


1,623,614 


























(Includes Marin, San Francisco and 




























San Mateo Counties.) 




























City of San Francisco 


750.544 


56,637 




9.506 


47,131 


114 


492 


5.085 


3.815 


10.076 


30.223 


6.832 




Total area actually reporting 


100.0% 


98,278 




14,351 


83,927 


161 


689 


6,174 


7,327 


18,003 


56,087 


9,837 




Rate per 100,000 inhabitants 




6,053.0 




883.9 


5.169.1 


9.9 


42.4 


380.3 


451.3 


1.108.8 


3,454.5 


605.9 




San Jose, Ca. M.S.A 


1,444,241 


























(Includes Santa Clara County.) 




























City of San Jose 


722.560 


38.979 




4.020 


34,959 


39 


430 


1,126 


2.425 


7,663 


24,241 


3,055 




Total area actually reporting 


100.0% 


73,851 




6,565 


67.286 


59 


671 


1,740 


4,095 


14.411 


47,954 


4.921 




Rate per 100,000 inhabitants 




5.113.5 




454.6 


4.658.9 


4.1 


46.5 


120.5 


283.5 


997.8 


3.320.4 


340.7 




Santa Barbara-Santa Maria- Lorn poc, 




























Ca. M.S.A 


339,895 


























(Includes Santa Barbara County.) 




























City of: 




























Santa Barbara 


80.952 


5.070 




547 


4,523 


2 


43 




341 


1.169 


2,937 


417 




Santa Maria 


48,959 


3,751 




237 


3,514 


4 


23 


48 


162 


789 


2,534 


191 




Lompoc 


30,898 


1,971 




188 


1.783 


4 


10 


36 


138 


432 


1,280 


71 




Total area actually reporting 


100.0% 


17.296 




1,529 


15,767 


11 


120 


313 


1,085 


3.637 


11,167 


963 




Rate per 100,000 inhabitants 




5.088.6 




449.8 


4,638.8 


3.2 


35.3 


92.1 


319.2 


1,070.0 


3,285.4 


283.3 




Santa Cruz, Ca. M.S.A 


216,729 


























(Includes Santa Cruz County) 




























City of Santa Cruz 


46,446 


5.050 




403 


4,647 


1 


36 


118 


248 


1,074 


3.309 


264 




Total area actually reporting 


100.0% 


15,002 




1.248 


13,754 


18 


90 


289 


851 


3.918 


8.968 


868 




Rate per 100,000 inhabitants 




6.922.0 




575.8 


6.346.2 


8.3 


41.5 


133.3 


392.7 


1.807.8 


4,137.9 


400.5 




Santa Rosa-Petal uma, Ca. M.S.A 


343,621 


























(Includes Sonoma County.) 




























City of: 




























Santa Rosa 


96.160 


6,598 




423 


6.175 


11 


43 


155 


214 


1,751 


4,047 


377 




Petaluma 


38,451 


1.724 




116 


1.608 




9 


40 


67 


545 


985 


78 




Total area actually reporting 


100.0% 


16,973 




1.430 


15.543 


25 


109 


309 


987 


5,002 


9.629 


912 




Rate per 100,000 inhabitants 




4,939.5 




416.2 


4,523.3 


7.3 


31.7 


89.9 


287.2 


1.455.7 


2,802.2 


265.4 




Sarasota, Fl. M.S.A 


249,703 


























(Includes Sarasota County.) 




























City of Sarasota 


55,655 


5.643 




659 


4,984 


6 


67 


321 


265 


1,602 


3,193 


189 




Total area actually reporting 


100.0% 


17.069 




1,468 


15,601 


15 


129 


457 


867 


4,617 


10,340 


644 




Rate per 100,000 inhabitants 




6.835.7 




587.9 


6.247.8 


6.0 


51.7 


183.0 


347,2 


1.849.0 


4,140.9 


257.9 




Savannah, Ga. M.S.A 


243,610 


























(Includes Chatham and Effingham 
























































City of Savannah 


151,660 


13.390 




1.199 


12.191 


29 


102 


679 


389 


3.609 


8.156 


426 




Total area actually reporting 


100.0% 


17,986 




1,629 


16.357 


40 


136 


776 


677 


4,892 


10,748 


717 




Rate per 100,000 inhabitants 




7.383.1 




668.7 


6,714.4 


16.4 


55.8 


318.5 


277.9 


2,008.1 


4,412.0 


294.3 




Seattle, Wa. M.S.A 


1,735,979 


























(Includes King and Snohomish 




























Counties.) 




























City of Seattle 


501,279 


67.740 




6.790 


60,950 


50 


443 


2,792 


3.505 


16,215 


41,625 


3.110 




Total area actually reporting 


99.7% 


140,630 




9.735 


130,895 


96 


1,021 


3,640 


4,978 


36,047 


87.955 


6,893 




Estimated total 


100.0% 


141,101 




9.754 


131,347 


96 


1.024 


3,645 


4,989 


36.146 


88,286 


6,915 




Rate per 100,000 inhabitants 




8,128.0 




561.9 


7,566.2 


5.5 


59.0 


210.0 


287.4 


2,082.2 


5,085.7 


398.3 




Sharon, Pa. M.S.A 


126,823 


























(Includes Mercer County.) 




























City of Sharon 


16.998 


710 




60 


650 


1 


1 


11 


47 


176 


415 


59 




Total area actually reporting 


100.0% 


3,111 




244 


2.867 


3 


16 


40 


185 


635 


2.010 


222 




Rate per 100,000 inhabitants 




2.453.0 




192.4 


2,260.6 


2.4 


12.6 


31.5 


145.9 


500.7 


1,584.9 


175.0 




Sheboygan, Wi. M.S.A 


102,521 


























(Includes Sheboygan County.) 




























City of Sheboygan 


47,879 


2,450 




66 


2,384 




6 


11 


49 


422 


1.875 


87 




Total area actually reporting 


94.5% 


3,143 




81 


3,062 




14 


14 


53 


566 


2,378 


118 




Estimated total 


100.0% 


3,382 




89 


3,293 




14 


16 


59 


606 


2,560 


127 




Rate per 100,000 inhabitants 




3,298.8 




86.8 


3,212.0 




13.7 


15.6 


57.5 


591.1 


2,497.0 


123.9 




Sherman-Denison, Tx. M.S.A 


98,806 


























(Includes Grayson County.) 




























City of: 




























Sherman 


32,571 


3.230 




167 


3,063 


3 


15 


47 


102 


770 


2,118 


175 




Denison 


25,285 


2,518 




295 


2,223 


4 


5 


26 


260 


408 


1.703 


112 




Total area actually reporting 


100.0% 


7,057 




551 


6,506 


9 


32 


82 


428 


1,772 


4,374 


360 




Rate per 100,000 inhabitants 




7,142.3 




557.7 


6,584.6 


9.1 


32.4 


83.0 


433.2 


1,793.4 


4,426.9 


364.4 





footnotes at end of table 



APPENDIX IV — Index of Crime, Metropolitan Statistical Areas, 1986 — Continued 



Metropolitan Statistical Area 



Vgrj 



Shreveport, La. M.S.A 

(Includes Bossier, and Caddo 
Parishes.) 

City of Shreveport 

Total area actually reporting 

Rate per 100,000 inhabitants 

Sioux City, Ia-Nb. M.S.A 

(Includes Woodbury County, la-, and 
Dakota County. Nb.) 
City of Sioux City 
Total area actually reporting 
Rate per 100.000 inhabitants 

Sioux Falls, S.D. M.S.A 

(Includes Minnehaha County.) 

City of Sioux Falls 

Total area actually reporting 

Rate per 100,000 inhabitants 
South Bend-Mishawaka, In. M.S.A.. 
(Includes Saint Joseph County.) 
City of: 

South Bend 

Mishawaka 

Total area actually reporting 
Rate per 100.000 inhabitants 

Spokane, Wa. M.S.A 

(Includes Spokane County.) 
City of Spokane 
Total area actually reporting 

Estimated total 

Rate per 100,000 inhabitants 

Springfield, II. M.S.A. 4 

(Includes Menard and Sangamon 
Counties.) 

City of Springfield 4 

Total area actually reporting 

Rate per 100,000 inhabitants 

Springfield, Mo. M.S.A 

(Includes Christian and Greene 
Counties.) 

City of Springfield 

Total area actually reporting 
Rate per 100.000 inhabitants 

Springfield, Ma. M.S.A 

(Includes part of Hampden and 
Hampshire Counties.) 
City of Springfield 
Total area actually reporting 

Estimated total 

Rate per 100,000 inhabitants 

Stamford, Ct. M.S.A 

(Includes part of Fairfield County.) 

City of Stamford 

Total area actually reporting 
Rate per 100,000 inhabitants 

State College, Pa. M.S.A 

(Includes Centre County.) 
City of State College 
Total area actually reporting 

Rate per 100,000 inhabitants 

SteubenTille-Weirton, Oh.-W.V. 

M.S.A 

(Includes Jefferson County, Oh., and 
Brooke and Hancock Counties, W.V.) 
City of: 

Steubenville 

Weirton 
Total area actually reporting 

Estimated total 

Rate per 100,000 inhabitants 

Stockton, Ca. M.S.A 

(Includes San Joaquin County.) 
City of Stockton 
Total area actually reporting 
Rate per 100.000 inhabitants 
See footnotes at end of table. 



100 0% 
240,025 



177.893 
96.3% 

100 ir; 



151,347 
98.9% 
100.0% 

199,085 



114,353 

44.437 



24.340 
23.483 
66.7% 

100 0% 



21,016 
27,518 
7,560.4 



20,315 
20,509 
3,888.3 



36^238 
8.63291 



2,037 
3,230 
769.5 



6.619 
17.607 
17.787 
3.372 3 



2.730 
5.691 

5.737 
,087.7 



5,477 
10.201 
2.430.2 



2.009 

9.835 

4,097.: 



9,399 
13.553 
14.312 
3.952.5 



APPENDIX IV — Index of Crime, Metropolitan Statistical Areas, 1986 — Continued 



Murder 
and non- 
negligent 

slaughter 



Aggra- 



Syracuse, N.Y. M.S.A 

(Includes Madison, Onondaga and 
Oswego Counties.) 

City of Syracuse 

Total area actually reporting 
Rate per 100,000 inhabitants 

Tacoma, Wa. M.S.A 

(Includes Pierce County.) 

City of Tacoma 

Total area actually reporting 

Estimated total 

Rate per 100,000 inhabitants 

Tallahassee, Fl. M.S.A 

(Includes Gadsden and Leon 
Counties.) 

City of Tallahassee 

Total area actually reporting 

Rate per 100,000 inhabitants 

Tampa-Saint Petersburg-Clearwater, 

Fl. M.S.A 

(Includes Hernando, Hillsborough, 
Pasco and Pinellas Counties.) 
City of: 

Saint Petersburg 

Clearwater 

Total area actually reporting 

Rate per 100,000 inhabitants 

Texarkana, Tx.-Texarkana, Ar. 

M.S.A 

(Includes Bowie County, Tx., and 
Miller County, Ar.) 
City of: 

Texarkana. Tx 

Texarkana, Ar 

Total area actually reporting 
Rate per 100,000 inhabitants 

Toledo, Oh. M.S.A 

(Includes Fulton, Lucas and Wood 
Counties.) 

City of Toledo 

Total area actually reporting 

Estimated total 

Rate per 100,000 inhabitants 

Topeka, Ks. M.S.A 

(Includes Shawnee County.) 
City of Topeka 
Total area actually reporting 

Rate per 100,000 inhabitants 

Trenton, N.J. M.S.A 

(Includes Mercer County.) 

City of Trenton 

Total area actually reporting 

Rate per 100.000 inhabitants 

Tucson, Az. M.S.A 

(Includes Pima County.) 

City of Tucson 

Total area actually reporting 

Rate per 100.000 inhabitants 

Tulsa, Ok. M.S.A 

(Includes Creek, Osage. Rogers, Tulsa 
and Wagoner Counties.)