(navigation image)
Home American Libraries | Canadian Libraries | Universal Library | Community Texts | Project Gutenberg | Children's Library | Biodiversity Heritage Library | Additional Collections
Search: Advanced Search
Anonymous User (login or join us)
Upload
See other formats

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

BOSTOIM 
PUBLIC 
LIBRARY 




U.S. Department of Justice 

Federal Bureau of Investigation 






Inform Crime Reports 



1983 
1983 
1983 
1983 
1983 
1983 
1983 
1983 
1983 
1983 
1983 
1983 
1983 
1983 
1983 
1983 
1983 
1983 
1983 
1983 
1983 
1983 
19^3 
a9%3 






Release Date 
Sunday 
Sept. 9, 1984 




Crime 
in the 
United 
States 



ooooooooooooooooooooooooooooooooooooooopoo oo^ 

0^ C^O^G^O^O^O^C^O^O^O^O^C^O^O^O^O^O^<7^C^O^O^ 

• i J J • t i i i • ' ' ' - i^mai imirf 



OTHER UNIFORM CRIME REPORTING PUBLICATIONS: 

Assaults on Federal Officers (published annually) 

Bomb Summary (published annually) 

Law Enforcement Officers Killed Summary (published annually) 



UNIFORM 



SUMMARY 




CRIME 



REPORTS 



for the United States 



CRIME INDEX 




PRINTED ANNUALLY— 1983 by: 

Federal Bureau of Investigation 

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



CRIMES CLEARED 




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



PERSONS ARRESTED 




LAW ENFORCEMENT PERSONNEL 



APPENDICES 



For sale by the Superintendent of Documents. US Government Prmling Office. Washington. DC 20402 



FOREWORD 

For a number of years I have commented on the seriousness of the ever- 
present and growing crime problem in our country. The results of the past 
two years, however, give us reason for hope. 

Across the country, decreases in those crimes that the general population 
experiences most directly — the Crime Index offenses — are being recorded. 
There was an all-time high of these crimes reported in 1980. Since then, the 
tide has been turned. The most recent figures for 1983 indicate a substantial 
decrease from our experience in 1982. 

During those years of continual crime increases, we were hard pressed to 
explain the reasons for the increases. Now, we are equally challenged to 
explain the decreases. The heightened awareness of the public to the 
possibility of being a crime victim has set into motion a host of crime 
prevention measures. Effective action in recent years by law enforcement 
agencies, courts, and correction facilities to identify and isolate recidivists has 
played a role in crime reduction. The age migration, especially the maturation 
of those who have historically been prone to commit crimes, is another causal 
factor. Legislative initiatives promulgated at the federal, state, and local 
government levels to combat crime have been instrumental in securing a safer 
society. Many social forces are at work influencing criminal behavior in this 
country; and, no one factor should be isolated as the solution to the crime 
problem. 

As we proceed through this decade, a clearer understanding of criminal 
activity shall possibly evolve. At these early stages of crime reduction, a host 
of potential reasons have surfaced. Separating the illusory from the real is the 
task before us. Still, it is not unreasonable to conclude that a national resolve 
to cope with crime has emerged and that this resolve, properly fostered, 
offers the greatest hope for success in the years ahead. 



UhLu^ ky-OuiAt^T^ 



William H. Webster 
Director 



III 



CRIME FACTORS 

The presence of crime in our Nation is a matter of serious concern not 
only to the law enforcement profession, but to society at large. Historically, 
the causes and origins of crime have been the subjects of investigation by 
many disciplines. While no definitive conclusions have yet been reached, a 
number of factors affecting the volume and type of crime that occurs from 
place to place have been delineated. Some of these are as follows: 

Population density and size of locality and its surrounding area. 

Variations in composition of the population, particularly age 
structure. 

Stability of population with respect to residents' mobility and 
transient factors. 

Economic conditions, including job availability. 

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

Climate. 

Effective strength of law enforcement agencies. 

Administrative and investigative emphases of law enforcement. 

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

Attitudes of citizenry toward crime. 

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



CONTENTS 

Page 

Section I- Summary of the Uniform Crime Reporting Program 1-4 

Section Il-Crime Index Offenses Reported 5-158 

Narrative comments: 

Murder and nonnegligent manslaughter 6-12 

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 total 40-42 

Charts: 

Crime clock, 1983 5 

Murder, monthly variation from annual average 7 

Murder, 1979-1983 7 

Forcible rape, monthly variation from annual average 14 

Forcible rape, 1979-1983 14 

Robbery, monthly variation from annual average 17 

Robbery, 1979-1983 17 

Robbery analysis, 1979-1983 ' 20 

Aggravated assault, monthly variation from annual average 22 

Aggravated assault, 1 979- 1983 22 

Burglary, monthly variation from annual average 25 

Burglary, 1979-1983 25 

Burglary analysis, 1979-1983 27 

Larceny-theft, monthly variation from annual average 29 

Larceny-theft, 1979-1983 29 

Larceny analysis, 1979- 1983 31 

Larceny analysis, 1983 32 

Motor vehicle theft, monthly variation from annual average 34 

Motor vehicle theft, 1979-1983 34 

Crime Index total, 1979-1983 40 

Tables: 

Murder: 

By month, percent of annual total, 1979-1983 7 

Age, sex, race, and ethnic origin of victims, 1983 8 

Victim/offender relationship by sex, race, and ethnic origin, 1983 9 

Type of weapon used, 1983 10 

Victims, type of weapon used, 1979-1983 10 

Victims — weapons used, 1983 10 

Circumstance by relationship, 1983 11 

Circumstance by weapon, 1983 11 

Circumstances/motives, 1 979- 1983 12 

Forcible rape, by month, percent of annual total, 1979-1983 14 

Robbery: 

By month, percent of annual total, 1979-1983 17 

Percent distribution, region, 1983 18 

Percent distribution, population group, 1983 18 

Type of weapon used, 1983 18 

vii 



Page 
Tables — continued 

Aggravated assault: 

By month, percent of annual total, 1979-1983 22 

Type of weapon used, 1983 23 

Burglary, by month, percent of annual total, 1979-1983 25 

Larceny-theft: 

By month, percent of annual total, 1979-1983 29 

Analysis by region, 1983 30 

Motor vehicle theft: 

By month, percent of annual total, 1979-1983 34 

Region, 1983 35 

Arson, 1983: 

Rate, population group 37 

Type of property 38 

Structures not in use 38 

Property damage 38 

Offenses cleared by arrest 39 

Offenses cleared by arrest of persons under 18 years of age 39 

National crime, rate, and percent change 41 

Regional offense and population distribution, 1983 41 

Crime rate, 1983: 

Region 41 

Area 42 

Index of Crime: 

United States, 1983 43 

United States, 1974-1983 43 

Region, geographic division, and state, 1982-1983 44-51 

State, 1983 52-63 

Number of offenses known to the police, 1983: 

Cities and towns 10,000 and over in population 64-113 

Universities and colleges 114- 121 

Suburban counties 122-137 

Rural counties 25,000 and over in population 138 - 145 

Crime trends, offenses known to the police, 1982-1983: 

Population group 146-147 

Suburban and nonsuburban cities, population group 148 

Suburban and nonsuburban counties, population group 149 

Offense breakdown, population group 1 50 - 1 5 1 

Crime rates, offenses known to the police, 1983: 

Population group 1 52 - 153 

Suburban and nonsuburban cities, population group 154 

Suburban and nonsuburban counties, population group 155 

Offense breakdown, population group 156-157 

Offense analysis, 1983, and percent change from 1982 158 

Type and value of property stolen and recovered, 1983 158 

Section III- Crime Index Offenses Cleared 159-167 

Narrative comments 1 59 

Chart: 

Crimes cleared by arrest, 1983 160 

Tables: 

Offenses known and percent cleared by arrest, 1983: 

Population group 1 6 1 - 1 62 

Geographic division 163 

Offense breakdown, population group 1 64 - 1 65 

Offenses cleared by arrest of persons under 18 years of age, 1983 166-167 



Page 

Section IV- Persons Arrested 168 - 245 

Narrative comments 168 - 169 

Tables: 

Arrests for drug abuse violations, 1983 168 

Arrests, region, 1983 169 

Total estimated arrests. United States, 1983 170 

Arrests, number and rate, population group, 1983 171-172 

Total arrest trends: 

1974-1983 173 

Sex, 1974-1983 174 

1979-1983 175 

Sex, 1979-1983 176 

1982-1983 177 

Sex, 1982-1983 178 

Total arrests, 1983: 

Distribution by age 1 79 - 1 80 

Male arrests, distribution by age 181 - 182 

Female arrests, distribution by age 1 83 - 1 84 

Of persons under 15, 18, 21, and 25 years of age 185 

Distribution by sex 186 

Distribution by race 187 - 189 

Distribution by ethnic origin 190- 192 

City arrest trends: 

1982-1983 193 

Sex, 1982-1983 194 

City arrests, 1983: 

Distribution by age 195-196 

Of persons under 15, 18, 21, and 25 years of age 197 

Distribution by sex 198 

Distribution by race 1 99 - 20 1 

Distribution by ethnic origin 202 - 204 

Suburban county arrest trends: 

1982-1983 205 

Sex, 1982-1983 206 

Suburban county arrests, 1983: 

Distribution by age 207 - 208 

Of persons under 15, 18, 21, and 25 years of age 209 

Distribution by sex 210 

Distribution by race 211-213 

Distribution by ethnic origin 214-216 

Rural county arrest trends: 

1982-1983 217 

Sex, 1982-1983 218 

Rural county arrests, 1983: 

Distribution by age 219- 220 

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

Distribution by sex 222 

Distribution by race 223 - 225 

Distribution by ethnic origin 226 -228 

Suburban area arrest trends: 

1982-1983 229 

Sex, 1982-1983 230 

Suburban area arrests, 1983: 

Distribution by age 23 1 - 232 

Of persons under 15, 18, 21, and 25 years of age 233 

Distribution by sex 234 

ix 



Page 
Tables — continued 

Distribution by race 235 - 237 

Distribution by ethnic origin 238 - 240 

Arrests by state, Crime Index offenses, 1983 241 - 244 

Police disposition of juvenile offenders taken into custody, 1983 245 

Law Enforcement Code of Ethics 246 

Section V- Law Enforcement Personnel 246 - 337 

Narrative comments 247 

Tables: 

Full-time law enforcement employees, October 31, 1983: 

Employees, number and rate per 1,000 inhabitants, geographic division and population group 248 

Officers, number and rate per 1,000 inhabitants, geographic division and population group 249 

Employees, range in rate per 1 ,000 inhabitants 250 

Officers, range in rate per 1,000 inhabitants 251 

Employees, percent male and female 252 

Civilian employees, percent of total, population group 252 

State agencies 253 

Cities 254-318 

Universities and colleges 319- 322 

Suburban counties 323 - 326 

Rural counties 327 - 337 

Section VI- Appendices 338- 387 

Appendix I- Table methodology 338 - 341 

Appendix II- Offenses in Uniform Crime Reporting 342 - 343 

Appendix III- Uniform Crime Reporting area definitions 344 - 345 

Appendix IV- Age-specific arrest rates by sex 346-352 

Appendix V- Index of Crime, Metropolitan Statistical Areas, 1983 353-382 

Appendix VI- Directory of State Uniform Crime Reporting Programs 383-387 



SECTION I 
SUMMARY OF THE UNIFORM CRIME REPORTING 

PROGRAM 



The Uniform Crime Reporting (UCR) Program is a 
nationwide cooperative venture of nearly 16,000 city, 
county, and state law enforcement agencies. Voluntarily 
reporting data on crimes brought to their attention, these 
agencies make it possible to assess lawlessness in the 
Nation and to gauge fluctuations in its amount and type. 
The Program's primary objective — to generate a reliable 
set of criminal statistics for use in law enforcement 
administration, operation, and management- has remained 
the same throughout its more than 50 -year history. Uses 
of the data produced have, however, expanded 
substantially. The American public, demonstrating its 
concern regarding the crime problem, has shown 
increasing interest in crime statistics. Further, UCR data 
have become a research tool for the use of criminologists, 
sociologists, legislators, municipal planners, the press, and 
other students of criminal justice. 

Historical Background 

In the 1920s, the International Association of Chiefs of 
Police (lACP) recognized a need for national crime 
statistics and formed the Committee on Uniform Crime 
Records to develop a viable system of uniform police 
statistics. After studying state criminal codes and making 
an evaluation of the recordkeeping practices in use, the 
Committee in 1929 finalized a plan for crime reporting 
which became the foundation of the UCR Program. 

Since offenses known to law enforcement were the 
most readily available crime information, the Committee 
elected to survey local agencies to obtain data on crimes 
brought to their attention. Realizing that not all crimes are 
reported, the Committee evaluated various offenses on the 
basis of their seriousness, frequency of occurrence, 
pervasiveness in all geographic parts of the country, and 
likelihood of being reported to law enforcement. Using 
those criteria, seven offenses were chosen to serve as an 
Index for gauging fluctuations in the overall volume and 
rate of crime. These crimes, known jointly as the Crime 
Index, 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 I 
was possible. To overcome these problems and provide 
nationwide uniformity in crime reporting, standardized 
offense definitions were formulated. Without regard for 
local statutes, law enforcement agencies would submit 
data in accordance with the UCR standard definitions of 
offenses as 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. In that same year. Congress enacted legislation I 
under Title 28, Section 534, of the United States Code 
authorizing the Attorney General to gather crime 
information. The Attorney General, in turn, designated 
the FBI to serve as the national clearinghouse for data 
collected by the Program. Since that time, data based on 
uniform classifications and procedures for reporting have 
been obtained from the Nation's law enforcement 
agencies. 

The lACP's Committee on Uniform Crime Records, 
acting in an advisory capacity concerning the UCR 
Program's operation, remains a vital link between local 
police departments and the FBI. The National Sheriffs' 
Association (NSA) in June, 1966, established a Committee 
on Uniform Crime Reporting to serve in an advisory role 
to the NSA membership and the national UCR Program. 
This Committee actively encourages sheriffs throughout 
the country to fully participate in the Program. 

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

Methods of Data Collection 

The FBI receives the information its contributors 
compile either directly from the local law enforcement 
agency or through a state-level UCR Program. On an 
individual basis, agencies submitting directly to the FBI 
are provided continuing guidance and support from the 
national Program. 

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. These agencies can also provide more 
direct and frequent service to participating law 
enforcement agencies, make information more readily 



available for use at the state level, and 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 the local agencies is forwarded to the 
national Program through the state data collection 
agency. 

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

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

Reporting Procedures 

Law enforcement agencies across the country report 
monthly to the UCR Program. From records of all 
reports of crime received from victims, officers who 
discover infractions, or other sources, the agencies 
tabulate the number of Crime Index or Part I offenses 
brought to their attention. Specifically, the crimes 
reported to the FBI are murder and nonnegligent 



manslaughter, forcible rape, robbery, aggravated assault, 
burglary, larceny-theft, motor vehicle theft, and arson. 

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

Another integral part of the monthly submission is the 
total number of actual Crime Index offenses cleared. 
Crimes are "cleared" in one of two ways: (1) at least one 
person is arrested, charged, and turned over to the court 
for prosecution; or (2) by exceptional means when some 
element beyond police control precludes the arrest of an 
offender. Law enforcement agencies also report the 
number of Index crime clearances which involve only 
offenders under the age of 18; the value of property stolen 
and recovered in connection with the offenses; and 
detailed information pertaining to criminal homicide and 
arson. 

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

Various data on law enforcement officers killed or 
assaulted are collected on a monthly basis. Other law 
enforcement employee data, specifically the number of 
full-time sworn and civilian personnel, are reported as of 
October 31 of each year. 

Editing Procedures 

Each report submitted to the UCR Program is 
thoroughly examined for arithmetical accuracy and for 
deviations which may indicate errors. To identify any 
unusual fluctuations in an agency's crime counts, monthly 
reports are compared with previous submissions by the 
agency and with those for similar agencies. Large 
variations in crime levels may indicate modified records 
procedures, incomplete reporting, or changes in the 
jurisdiction's geopolitical structure. 

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



crime categories, or if necessary, totals are excluded from 
trend tabulations. 

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

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

To enhance communication among Program 
participants, the UCR "Newsletter" and State UCR 
Program "Bulletin" are utilized to address Program 
policy, as well as 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 lACP or the Committee 
on Uniform Crime Reporting of the NSA. 

Reporting Area 

The presentation of statistics by reporting area 
facilitates analyzing local crime counts in conjunction 
with those for areas of similar geographic makeup. 
Geographically, the United States is divisible by regions, 
divisions, and states. 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 
with a total population of at least 100,000. Contiguous 
counties which meet specified criteria of metropolitan 
character and integration are included. Due to changes in 



the geographic compositions of MSAs, no year-to-year 
comparisons of data for those areas should be attempted. 

"Other cities," most of which are incorporated, are 
those outside MSAs. For crime reporting purposes, rural 
counties are those outside the 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 less than 50,000 inhabitants together with 
counties which are within an MSA. In this context, the 
core 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 1983, law enforcement agencies active in the 
UCR Program represented approximately 226 million 
United States inhabitants, or 97 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 90 percent of the rural population. 

Although most law enforcement agencies submit crime 
reports to the UCR Program, each tabular presentation in 
this publication shows the extent of population coverage 
represented by the data included. More detailed 
information concerning the geographical entities used in 
this publication can be found in Appendix III. 

Population Data 

Bureau of the Census population estimates as of July 1, 
1983, were used to compute crime rates for the Nation, 
states, geographic regions, and divisions. Using these 
estimates along with 1980 pieliminary census counts, the 
populations of individual counties and cities were 
extrapolated. The estimated United States population 
increase in 1983 was approximately 1 percent over the 
1982 estimate. 

Offense Estimation 

Tables 1 through 4 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 for such agencies are used 
in the above-mentioned 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. 

Estimates shown in Tables 2 and 3 have been adjusted 
due to a 1983 change in reporting practices for Chicago, 



Illinois. Prior procedures were determined not to be in 
accordance with established national UCR standards, and 
it was necessary that earlier statistics for Chicago be 
adjusted through estimation procedures. Crime Index 
figures for that city were deducted from each year's 
L'nited States total and revised figures were established as 
if no reports were received. Those crime volumes were 
then reincorporated to establish new national estimates. 
Pre- 1983 annual totals in this year's publication may not, 
therefore, be consistent with those in previous editions. 

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 im^^roved records procedures, annexations, 
etc. 

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

Recent Developments 

Early in 1984, a conference on the future of Uniform 
Crime Reporting was held in Elkridge, Maryland. The 
conference was part of the study of the UCR Program 
being funded by the Bureau of Justice Statistics (BJS) and 
conducted by an independent research group, Abt 
Associates Inc. Conference attendees v/ere given the 
opportunity to review work conducted during the first 
phase of the study and to discuss potential changes to the 
UCR Program that should be considered and evaluated in 
its second phase. Representatives of law enforcement 
agencies, law enforcement membership organizations, the 
research community, state UCR programs, statistical 



analysis centers, other criminal justice agencies, the 
National Crime Survey Redesign Consortium, the Bureau 
of the Census, and the Canadian Centre fc/ Justice 
Statistics participated in the conference, as did staff 
members from the BJS, the national UCR Program, and 
Abt Associates. 

The seventh National UCR Conference was held July 
9-12, 1984, at the FBI Academy, Quantico, Virginia. The 
major topic of discussion was the progress of the UCR 
study. At the conference, the staff of Abt .Associates 
reported findings from the evaluation's first phase, and 
conference attendees offered their views on alternatives 
for the future direction of UCR to be developed in phase 
two, now underway. To ensure input from interested 
groups, the conference attendees included representatives 
from 20 large police departments; staff members from the 
state UCR Programs; members of the Committee on 
Uniform Crime Records of the lACP, the Uniform Crime 
Reporting Committee of the NSA, and the Steering 
Committee for the UCR evaluation; and staff from the 
BJS, Bureau of Social Science Research, and Police 
Executive Research Forum. 

In recent years, budgetary constraints have caused the 
discontinuance of several operational state-level UCR 
Programs. Illustrative of the continuing support of the 
state Program concept, however, is the addition of two 
systems beginning with the 1984 reporting year. The State 
of Wisconsin reinstated its Program under the auspices of 
the Wisconsin Council on Criminal Justice. Vermont 
commenced its first statewide collection effort with the 
Vermont Department of Public Safety as the 
administering agency. At the present time, one other state 
has a Program under development. 

Updated versions of the Uniform Crime Reporting 
Handbook and the Manual of Law Enforcement Records 
are currently being printed. Although the basic concepts 
in the publications are unchanged from the previous 
editions, some presentations in each book have been 
revised to clarify discussions or expand explanations. The 
updated issues should be available, upon request of law 
enforcement agencies, in the late fall of this year. 



CRIME CLOCK 
1983 




one 



one 
VIOLENT CRIME < 
every 26 seconds 



CRIME INDEX OFFENSE < 
every 3 seconds 



one 
PROPERTY CRIME < 
every 3 seconds 



one 

MURDER 

every 27 minutes 

one 
FORCIBLE RAPE 
every 7 minutes 

one 

ROBBERY 

every 63 seconds 

one 

AGGRAVATED ASSAULT 

every 49 seconds 

one 

BURGLARY 

every 10 seconds 

one 
LARCENY-THEF 
every 5 seconds 

one 

MOTOR VEHICLE THEFT 

every 31 seconds 



The crime clock should he viewed with care. Being the most aggregate representation of UCR data, it is designed to 
convey the annual reported crime experience byshowingthe 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. 





TRFNin 








Rate per 100.000 


Year 


Number of offenses 


inhabitants 


1982 


21,012 


9.1 


1983 


19,308 


8.3 


Percent change 


-8.1 


-8.8 



\'oluine 

An estimated 19,308 persons were murdered in the 
United States during 1983. More murder offenses 
occurred in December than in any other month of the 
year. 



MURDER BY MONTH 



Variation From Annual Avoraga 



IAN. FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT. NOV. DEC. 



Geographically, the most populous region, the 
Southern States, accounted for 43 percent of the murders. 
The North Central and the Western States each reported 
20 percent; and the Northeastern States, 17 percent. 



Murder by Month, 1979-1983 

[Percent of annual total] 



Months 



January 

February -.- 

March 

April 

May 

June 

July 

August 

September . 

October 

November . 
December 



1979 



8.2 
7.5 
8.1 
7.5 
8.1 
7.7 
8.8 
8.6 
8.5 
8.9 
8.8 
9.2 



1980 



7.8 
7.3 
7.2 
7.4 
8.0 
8.5 
9.5 
103 
8.7 
8.3 
8,1 



7.8 
8.4 
7.9 
8.4 
8.4 
8.8 
8.7 
8.3 
8.0 
7.9 
8.6 



1982 



8.3 
7.5 
8.1 
7.9 
8.8 
8.4 



8.6 

8.2 
7.5 
9.0 



1983 



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



Trend 

Nationwide, 8 percent fewer murders were reported in 
1983 than in 1982. Decreases in murder were evident in all 
population groups, ranging from 13 percent in the 
suburban counties to 2 percent in cities with populations 
over 1 million and those with populations of 50,000 to 
99,999. In the rural counties, murders dropped 10 percent. 

All regions registered declines in the number of 
murders during 1983. The decreases were 13 percent in 
the Southern States; 8 percent in the Northeastern States; 
4 percent in the Western States; and 2 percent in the 
North Central States. 

The accompanying chart reveals a decrease of 10 
percent nationally in the murder counts from 1979 to 
1983. 



-30 



MURDUR 

NUMBER OF OFFENSES DOWN 10% 

RATE PER 100,000 INHABITANTS DOWN 14% 


















-.— '"^ 














^^^^^^^r::::: 



1979 



1980 



1981 



1982 



1983 



Rate 

The 1983 national murder rate was 8 per 100,000 
inhabitants, down 9 percent from the previous year. When 
the number of murder victims was related to the 
populations on a regional basis, the Southern States 
averaged 10 murders per 100,000 people, down 14 percent 
from 1982. In the Western States, for which a murder rate 
of 8 per 100,000 inhabitants was recorded, the rate 
dropped 6 percent. With a murder rate of 7 per 100,000, 
the Northeastern States' rate was down 8 percent, while 
the North Central States' murder rate of 6 per 100,000 
showed a 2-percent decline. 

Collectively, the MSAs reported a murder rate of 9 
victims per 100,000 inhabitants; the rural counties 
recorded a rate of 6 per 100,000; and cities outside 
metropolitan areas registered a murder rate of 5 per 
100,000. 

Nature 

Contributing agencies provided supplemental 
information for 18,673 of the estimated 19,308 murders in 
1983. 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. 

According to these statistics, approximately 76 percent 
of the murder victims in 1983 were males. Considering 
victims for whom race was known, an average of 55 of 
every 100 were white, 43 were black, and 2 were persons 
of other races. Twenty percent of the victims for whom 
ethnicity was reported were Hispanic. 

Data based on incidents involving one victim and one 
offender show that murders are most likely to be 
intraracial. For example, 94 percent of the black murder 
victims were slain by black offenders, and 88 percent of 
the white murder victims were killed by white offenders. 
Likewise, males are most often slain by males (8 1 percent 
in single victim/single offender situations). These same 
data show, however, that 9 of every 10 female victims are 
murdered by males. 



As in prev 


ious years, firearms were the dominant 


which 


weapons 


were reported. 


44 percent were by 


weapons used in the commission of murders throughout 


handguns, 7 percent by shotguns, A 


percent by rifles, and 3 


the United States during 1983. Of those murders for 


percent 


involved other or unknown types of firearms. 


Age, Sex, Race, and Ethnic Origin of Murder Victims, 1983 










Number 


Percent' 


Sex 


Race 


Ethnic Origin 


Age 


















Non- 










Male 


Female 


Unknown 


White 


Black 


Other 


Unknown 


Hispanic 


Hispanic 


Unknown 


Total 


18.673 




14.107 


4.548 


18 


10.254 


7.930 


403 


86 


2,856 


11.644 


4.17.1 


Percent 




100.0 


75.5 


24.4 


1 


54.9 


42.5 


2.2 


.5 


15 3 


624 


22.3 


Infant (under 1) 


220 


1.2 


111 


108 


1 


124 


82 


9 


5 


25 


137 


58 


1 to 4 


346 


1.9 


197 


149 




176 


164 


6 




40 


218 


88 


5 to 9 


135 


.7 


75 


60 




85 


46 


4 




17 


90 


28 


10 to 14 


192 


1.0 


121 


71 




126 


65 


1 




31 


109 


52 


15 to 19 


1.435 


7.7 


1,069 


366 






748 


657 


29 


1 


274 


829 


332 


20 to 24 


3 066 


164 


2 371 


695 






1.583 


1.402 


68 


13 


575 


1,821 


670 


25 to 29 


3.164 


16.9 


2.481 


683 






1.600 


1.483 


75 


6 


530 


1,943 


691 


30 10 34 


2.501 


13.4 


1.969 


532 






1.275 


1.166 


55 


5 


453 


1,529 


519 


35 to 39 


1.833 


9.8 


1.435 


398 






1.017 


770 


39 


7 


281 


1,159 


393 


40 to 44 


1.330 


7.1 


1.059 


271 






755 


545 


29 


1 


195 


844 


291 


45 to 49 


958 


5.1 


725 


233 






576 


355 


26 


1 


134 


628 


196 


50 to 54 


847 


4.5 


675 


172 






514 


307 


26 




101 


547 


199 


55 to 59 


687 


3.7 


515 


172 




414 


263 


9 


1 


48 


485 


154 


60 to 64 


533 


2.9 


415 


118 




321 


205 


6 


1 


29 


372 


132 


65 to 69 


369 


2.0 


255 


114 




249 


115 


4 


1 


24 


263 


82 


70 to 74 


277 


1.5 


183 


94 




187 


86 


4 




14 


206 


57 


75 and over 


489 


2.6 


229 


260 




357 


127 


4 


1 


24 


358 


107 


Unknown 


291 


1.6 


222 


52 


17 


147 


92 


9 


43 


61 


106 


124 































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



r^ ^O O 

u-> ov r-) 



^- O "^ 

O sD 



oo O r— I 
O '^ — 

Tt — 



rr-, \n cy-. 

— _ CT^ 

— r-i r^ 



O^ r^ ^ ■ 

o o — ' 



rN r- oo 

ON OS O 

m O OS 

— ' o — 



in — — 



a: 



2 E-o 
o - = 



o — — 
<n OS 



— O ■^ r- 
ly-j _ — r-i 
oo fN rj 



E 
> 



O 



> :il 



(N oo <ri 
O rsi 



r^ r^ r- 

Tf oo 
oo ri 



2S: 



r^ -^ oo 
— o v^ 

r^ fS O' 



Os O "^ 

— W-1 (-n 
W-1 -^ r^ 



S m 5 



^1 



2 u. D 



Cl c ^ 

.2: o = 
I Z D 



Cutting or stabbing instruments were employed in 22 
percent, and other dangerous weapons such as blunt 
instruments, poison, explosives, etc., were used in 13 
percent. Personal weapons (hands, fists, feet, etc.) 
accounted for the remaining 7 percent. 

Within this section are presentations illustrating the 
number of murder offenses for which the types of 
weapons used were reported to the UCR Program. Also 
shown is a tabular analysis of murder weapons for the 
years 1979 through 1983. 

Murder, Type of Weapon Used, 1983 

(Percent distribution] 



Region 


Total 

all 

weapons 

used 


Firearms 


Knife 
or other 
cutting 
instru- 
ments 


Unknown 
or other 
danger- 
ous wea- 
pons 


Personal 
weapons 


Northeastern States 
North Central States 
Southern States 
Western States 


100.0 
100.0 
100.0 
100.0 


50.5 
59.0 
63.8 
53.6 


26.9 
21.7 
19.0 
23.2 


11.5 
13.6 
12.1 
15.4 


11,1 
5,7 
5,1 
7.8 


Total 


100.0 


58.3 


21.8 


13.0 


6.9 







Murder Victims, Type of 


Weapon 


Used, 1979-1983 






Weapon 


1979 


1980 


1981 


1982 


1983 


Total 


20.591 


21,860 


20,053 


19,485 


18,673 






Total Firearm 


13,040 

9,459 

1,075 

1.719 

40 

747 

3,954 

997 

1.165 

13 

8 

276 

21 

64 

402 

100 

551 


13.650 

10.012 

1.124 

1,636 

53 

825 

4.212 

1,094 

1,282 

17 

21 

291 

12 

49 

401 

104 

727 


12.523 

9.193 

968 

1,528 

82 

752 

3.886 

1,038 

1,132 

12 

16 

258 

20 

51 

337 

150 

630 


11.721 

8,474 

1,017 

1.377 

38 

815 

4,065 

957 

1,298 

19 

12 

279 

16 

52 

359 

108 

599 


10,895 


Handgun 

Rifle 


8.193 
831 


Shotgun 

Other gun 

Firearm not stated 
Cutting or stabbing 

instrument 

Blunt object (club. 


1.243 

19 

609 

4,075 

1,062 


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


1,280 
20 


Explosives 
Fire 

Narcotics 
Drowning 


5 

216 

17 

40 

376 


Asphyxiation 

Other weapon or weapon 
not stated 


123 
564 



'Pushed is included in personal weapons. 



Murder Victims — Weapons Used, 1983 





Number 


Weapons 


Age 


Fire- 
arm 


Cutting or 

stabbing 
instrument 


Blunt ob- 
ject (club, 
hammer, 
etc) 


Personal 

weapons 

(hands, 

fists, feet, 

etc.) 


Poison 


Explosives 


Fire 


Narcotics 


Strangu- 
lation 


Asphyxia- 
tion 


Other 
weapon or 

weapon 
not stated 


Total 


18,673 


10.895 


4,075 


1,062 


1,280 


20 


5 


216 


17 


376 


123 


604 


Infant (under 1) 

1 to 4 

5 to 9 


220 

346 

135 

192 

1,435 

3.066 

3,164 

2.501 

1,833 

1,330 

958 

847 

687 

533 

369 

277 

489 

291 


10 

28 

43 

93 

891 

1,935 

2,025 

1,651 

1,167 

861 

583 

488 

359 

265 

162 

100 

104 

130 


6 

29 

13 

43 

326 

751 

746 

528 

396 

277 

187 

187 

164 

120 

97 

61 

88 

56 


12 
26 
10 
16 
56 
114 
124 
103 
86 
69 
69 
62 
79 
59 
48 
46 
68 
15 


110 

171 

22 

16 

67 

114 

126 

99 

91 

65 

65 

51 

43 

33 

28 

36 

125 

18 


2 

2 
1 

3 
2 
3 
1 


1 


3 
26 
16 

6 
10 
17 
19 
23 
10 
10 
15 
12 

10 
6 
9 

17 
7 




3 
10 

6 

8 
40 
61 
56 
27 
32 
20 
16 
16 
13 
16 

9 
11 

^? 


29 
11 
7 
1 
7 
3 
6 
4 

2 
3 
4 
7 
6 
5 
3 
24 
I 


45 


1 


43 
16 


10 to 14 




8 


15 to 19 


1 

2 

1 




38 


20 to 24 , 
25 to 29 

30 lo 34 

35 to 39 

40 to 44 


5 
2 
5 
1 
1 

2 


65 

57 
59 
47 
22 


45 to 49 


20 


50 to 54 


1 
2 
1 


23 


55 to 59 
60 to 64 


20 
23 


65 to 69 




14 


70 to 74 


J 




10 








37 








57 











10 



Circumstance by Relationship, 1983 

[Percent distribution] 



Victim 



Total 



Felony 
type 



Suspected 
felony type 



Romantic 
triangle 



Argument 
over money 
or property 



Other 
arguments 



Miscellaneous 

non-felony 

type 



Unable to 
determine 



Total' 



100.0 



100.0 



100.0 



100.0 



100.0 



100.0 



100.0 



Husband 

Wife 

Mother 

Father 

Daughter 

Son 

Brother 

Sister 

Other family 

Acquaintances 

Friend 

Boyfriend 

Girlfriend 

Neighbor 

Stranger 

Unknown relationship 



3.9 

5.5 

.8 

1.1 

1.2 

2.0 

1.3 

.2 

2.7 

29.1 

4.1 

1.5 

2.2 

1.4 

15.0 

28.2 



.5 

.4 

.2 

.1 

.7 

.5 

.1 

.1 

1.1 

23.0 

1.8 

.1 

.3 

1.5 

38.2 

31.2 



5.2 
8.7 



2.8 

3.0 

1.5 

.4 



.2 

.2 
1.0 



6.4 

.7 



23.6 
68.9 



51.7 
7.5 
4.6 
7.7 
1.0 
9.1 
2.3 



.4 

2.8 

.2 

3.9 

52.4 

14.8 

1.1 

2.1 

2.8 

8.8 

2.8 



8.0 
9.4 
1.1 
2.1 

.3 
1.6 
2.5 

.3 
4.5 
38.7 
6.4 
3.0 
3.7 
1.9 
9.6 
6.9 



3.5 

7-6 

,9 

1.5 

4,6 

6.3 

1.3 

.4 

3.5 

37.0 

3-7 

1.1 

2.1 

1.3 

13.0 

12.3 



100.0 



.9 

2.4 

.6 

.3 

.5 

.8 

.3 

.1 

.8 

9.6 

1.4 

.2 

1.0 

.5 

5.8 

74.9 



'Because of rounding, percentages may not add to total. 
Circumstance by Weapon, 1983 



Weapon 



Total 



Felony type 



Suspected 
felony type 



Romantic 
triangle 



Argument 
over money 
or property 



Other 

arguments 



Miscellaneous 

non-felony 

type 



Unable to 
determine 



Total 

Firearm 

Cutting or 

stabbing instrument 
Blunt object 

(club, hammer, etc.) 
Pergonal weapons 

(hands, fists, feet, etc.)' 

Poison 

Explosives 

Fire 

Narcotics 

Drowning 

Strangulation 

Asphyxiation 

Other weapon 

or weapon not stated 



18,673 



3,364 



592 



482 



532 



6,374 



3,418 



3,911 



10,895 

4,075 

1,062 

1,280 

20 

5 

216 

17 

40 

376 

123 

564 



1,806 

593 

317 

274 
4 



300 
134 
44 
22 



353 
89 
21 
12 



340 
136 

27 
17 



3,910 

1,785 

275 

285 
I 



132 
7 
3 

106 
41 



1,968 

568 

170 

427 

8 

I 

32 

2 

22 

65 

42 

113 



2,218 
770 
208 

243 

7 
3 

18 

5 

7 

134 

28 

270 



'Pushed is included in personal weapons. 



It has long been recognized that murder is primarily a 
societal problem over which law enforcement has little or 
no control. Supporting this philosophy is the fact that 57 
percent of the murders committed in 1983 were 
perpetrated by relatives or persons acquainted with the 
victims. Nineteen percent of all killings involved family 
relationships, one-half of which involved spouse killing 
spouse. 

Arguments resulted in 44 percent of all murders, while 
18 percent occurred as a result of felonious activities such 
as robbery, arson, etc. Another 3 percent were suspected 
to be the result of some felonious activity. The table on 
the following page shows murder circumstances/motives 
for the past 5 years. 



Clearances 

Higher than for any other Crime Index offense, the 
nationwide murder clearance rate was 76 percent in 1983. 
The murder clearance rate reported by city law 
enforcement agencies was 75 percent, while agencies in 
suburban and rural counties cleared 74 and 83 percent, 
respectively. Persons under 1 8 years of age were involved 
in murder less than in any other offense in 1983. They 
accounted for 5 percent of the willful killings cleared by 
law enforcement nationally as well as in cities and in 
suburban and rural counties. 

Persons Arrested 

From 1982 to 1983, murder arrests decreased 6 percent 
in volume. Arrests of persons under age 18 dropped 17 
percent, while those of persons aged 1 8 and over fell 4 
percent. 



11 



Murder Circumstances/Motives, 1979-1983 





1983 


1982 


1981 


1980 


1979 


TOTAL 


18,673 


19,485 


20,053 


21,860 


20,591 


PERCENT' 


100.0 


100.0 


100.0 


1 00.0 


100.0 


FELONY TOTAL 


18.0 


17.7 


17.2 


17.7 


16.9 


Robbery 


10.6 


10.7 


10.4 


10.8 


10.5 


Narcotics 


2.0 
1.6 


1.8 
1.4 


1.8 
1.4 


1.7 
15 


1.9 


Sex offenses 


1.6 




.8 
3.1 


1.0 

2.7 


11 

2.5 


1.2 
2.5 


1.0 


Other felony 


19 


SUSPECTED FELONY 


3.2 


5.2 


5.5 


6.7 


5.3 


ARGUMENT TOTAL 


43.7 


40.9 


42.2 


44.6 


42.9 


Romantic triangle 


2.6 


2.4 


2.5 


2.3 


2.4 


Influence of alcohol 












and/or narcotics- 


4.1 


4.0 


4.1 


4.8 


4.5 


Property or money 


2.8 


3.2 


3.0 


2.6 


3.0 


Other arguments . 


34.1 


31.3 


32.5 


35.0 


33.0 


OTHER MOTIVES OR 












CIRCUMSTANCES 


14.2 


16.7 


17.1 


15.9 


172 


UNKNOWN MOTIVES 


20.9 


19.6 


17.8 


15.1 


17.7 



Of all persons arrested for murder in 1983, 41 percent 
were under 25 years of age, with 7 percent of the total 
being 17 or younger. The 18- to 24-year age group 
showed the greatest involvement in this offense, 
accounting for 34 percent of the total 1983 murder arrests. 

Blacks comprised 50 percent of the total arrestees for 
murder in 1983. Whites made up 49 percent, and the 
remainder were of other races. Twenty-two percent of the 
juvenile arrestees, 15 percent of the adult arrestees, and 16 
percent of the total arrestees were of Hispanic ethnicity. 



'Because of rounding, percentages may not add to totals. 
"Murders committed dunng arguments while under influence of narcotics 
are not counted in felony murders. 



12 



FORCIBLE RAPE 
_ DEFINITION _ 



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





TRFMn 








Rate per 100,000 


Year 


Number of offenses 


inhabitants 


1982 


78.898 


34.1 


1983 


78.918 


33.7 


Percent change 


— 


-1.2 



13 



Volume 

Numbering an estimated 78,918, forcible rapes reported 
to law enforcement agencies accounted for 6 percent of 
the volume of violent crimes and 1 percent of the total 
Crime Index. Geographically, the South, the region with 
the largest population, recorded 35 percent of the 1983 
forcible rape volume. The Western States accounted for 
26 percent; the North Central States, 23 percent; and the 
Northeastern States, 16 percent. 



As in previous years, more forcible rapes occurred in 
the summer months than during any other time of the 
year. August recorded the highest volume, while the 
lowest was registered in February. 

Forcible Rape by Month, 1979-1983 

(Percent of annual total] 



Months 



January 

February 
March 

April 

May 

June 

July 

August 

September 
October 
November 
December. 



1979 



6.5 
6 1 
7,7 
7.5 
8.3 
9.0 
9.6 
9,8 
9.8 
9.4 
86 
78 



1980 



7.4 
6.6 
7,4 
7,7 
8,7 
9,3 
10,5 
10,5 
9,4 
8,1 
75 
6,8 



1981 



7,2 
7.2 
7,9 
8.0 
8.6 
9,5 
10,1 
9,7 
8,7 
8,3 
7,6 
7,2 



1982 



7,1 
7,2 
8,0 
8.0 
9.0 
9.3 
10.2 
10,0 
8.6 
8,3 
7,2 
7,2 



1983 



7,3 
6,9 
7,6 
7.9 
8.5 
8,8 
9.9 
10,4 
9.1 
8.7 
7.7 
7.1 



Trend 

The volume of forcible rapes reported to law 
enforcement agencies nationwide showed no change from 
the 1982 experience. Comparisons for 5- and 10-year 
periods show 1983 national forcible rape figures up 3 
percent above the 1979 level and 42 percent above the 
1974 volume. 

Collectively, city law enforcement agencies and those 
in rural counties recorded increases of 1 and 3 percent, 
respectively, in their forcible rape volumes in 1983, while 
suburban area agencies registered a drop of 3 percent. By 
population grouping, cities with less than 10,000 
inhabitants reported the greatest increase, 5 percent. 

Trends for the geographic regions ranged from an 8- 
percent increase in the North Central States to a 5-percent 



decline in the Southern States. The number of forcible 
rapes reported in 1983 in the Northeast rose 2 percent, 
while in the West, the volume dropped 1 percent from 
1982. 























t 2D\ 
+ l» 


fORCIBLE MK BY MOim ^^...'^ 




Vmrlatlon From Annual Avarmgm ^^^ "^^ 


^^^^'^ ^"^-^-^.^^^ 


urtMGf 
- 10% 


^_^,— —'^'^^ ^"\^_^ 


-~ — ^^ ^""""^ 




lA 


N. FEB. MAR. APR. MAY 


JUNE 


JULY 


AUG. 


SEPT. 


OCT. 


NOV. 


DEC. 




Rate 

By Uniform Crime Reporting definition, the victims of 
forcible rape are always female, and in 1983, an estimated 
66 of every 100,000 females in the country were reported 
rape victims. The rate was 2 percent higher than in 1982, 
but 1 percent lower than in 1979. 

The 1983 female forcible rape rate was 76 victims per 
100,000 females in the MSAs, 41 per 100,000 females m 
cities outside metropolitan areas, and 29 per 100,000 
females in rural counties. 

On a regional basis, 86 per 100,000 females in the West 
were forcible rape victims. In the Southern States, the 
female forcible rape rate was 67; in the North Central 
States, 60; and in the Northeastern States, 51. 

Nature 

During 1983, 77 percent of all offenses reported in this 
category were rapes by force. Attempts or assaults to 
commit forcible rape comprised the remainder. Forcible 
rape, a violent crime against the person, is still recognized 
as one of the most underreported of all Index crimes. 
Victims' fear of their assailants and their embarrassment 
over the incidents are just two factors which can affect 
their decisions to contact law enforcement. 

Clearances 

Fifty-two percent of the known forcible rapes in the 
Nation were cleared by arrest or exceptional means in 1983. 
Law enforcement agencies in the rural counties recorded a 
63-percent clearance rate; those in the suburban areas, a 54- 
percent clearance rate; and city agencies, a 51 -percent rate. 
Of the total clearances for forcible rape in the Nation as a 
whole, 9 percent involved only persons under the age of 18. 
While the Nation's cities also recorded 9 percent involving 
that age group, the suburban areas reported 10 percent and 
the rural counties, 8 percent. 



14 



Persons Arrested age decreased 4 percent for the 5-year period, while adult 

The number of forcible rape arrests in 1983 increased 1 ^^^^ ^ 

percent over the 1982 experience. Arrests for this offense pjf^y percent of the forcible rape arrests in 1983 were of 

showed an increase of 2 percent in the Nation's cities and persons u^^er the age of 25, with 25 percent of the 

1 percent in the suburban counties, while the rural arrestees in the 18- to 22-year age group. Fifty percent of 

counties decreased 1 percent. ^j^^^e arrested were white, 49 percent were black, and all 

From 1979 to 1983, arrests for this offense increased 3 other races comprised the remainder. Ten percent of the 

percent in number. Arrests of persons under 18 years of forcible rape arrestees in 1983 were Hispanic. 



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. 





TPFNn 








Rate per 100,000 


Year 


Number of offenses 


inhabitants 


1982 


546,204 


235.9 


1983 


500,221 


213.8 


Percent change 


- 8.4 


-9.4 







16 



Volume 

An estimated 5(X),221 robberies, comprising 4 percent of 
all Index crimes and 40 percent of the violent crimes, 
were reported in 1983. The highest robbery counts were 
recorded in January, while the lowest occurred in May 
and June. 



ROBBeRY BY MONTH 




JAN. 



FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT. NOV. DEC. 



Regionally, the Northeastern States experienced the 
highest proportion of robberies, 31 percent of the total. 
The Southern States reported 27 percent; the Western 
States, 22 percent; and the North Central States, 20 
percent. 



cities and rural counties. A decline of 9 percent was 
recorded by the suburban counties. In the regions, 
robbery offenses decreased 10 percent in the Northeastern 
States, 9 percent in the Southern States, 8 percent in the 
Western States, and 6 percent in the North Central States. 

The accompanying chart depicts the trend in the 
volume of robbery, as well as the robbery rate, for the 
years 1979-1983. In 1983, the number of robbery offenses 
was 5 percent higher than in 1979 and 13 percent above 
the 1974 total. 



+ 20 
+ 10 



ROBBERY 

NUMBER OF OFFENSES UP 5% 

RATE PER 100,000 INHABITANTS DOWN 1% 






















. 




^^^ 




.^rn~" 


^^^__^ 








^--^^r^ 











1979 



1980 



1981 



1982 



1983 



Robbery by Month, 1979-1983 

[Percent of annual total] 



Months 



January ... 
February .. 

March 

April 

May 

June 

July 

August 

September 
October ... 
November 
December. 



1979 



7.9 
8.3 
7.3 
7.2 
7.3 
8.0 
8.6 
8.4 
9.4 
9.2 
97 



1980 



8.0 
7.2 
7.3 
7.0 
7.6 
7.9 
8.7 
9.5 
8.8 
8.9 
9.0 
10.1 



1981 



9.0 
8.1 
8.0 
7.3 
7.5 
7.7 
8.3 
8.7 
8.2 
8.8 
8.6 
9.6 



1982 



9 1 
8.2 
8.0 
7.5 
7.5 
7.7 
8.4 
8.5 
8.3 
8.5 



1983 



9.5 
8.1 
8.3 
7.6 
7.4 
7.4 
7.9 
8.6 
8.4 



9.2 



Trend 

Compared to the 1982 total, the number of robberies in 
1983 decreased 8 percent overall, as well as in the Nation's 



Rate 

Nationally in 1983, the robbery rate was 214 per 
100,000 inhabitants, down 9 percent from the 1982 rate. 
With 713 robberies per 100,000 people, the highest rate 
was experienced in cities with populations over 250,000. 
MSAs recorded a rate of 273 robberies per 100,000 
inhabitants, and in cities outside metropolitan areas, the 
rate was 49. The lowest incidence was in the rural areas 
where the rate was 17 per 100,000 people. 

Robbery occurred most frequently in the Northeastern 
States where the rate was 314 per 100,000 inhabitants. The 
rate per 100,000 inhabitants for the Western States was 
241; for the Southern States, 171; and for the North 
Central States, 166. 



17 



Nature 



Robbery, Percent Distribution, 1983 



The value of property stolen due to robberies in 1983 
was an estimated $323 million, with an average loss per 
incident of $645. 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. 

Robberies on streets or highways accounted for more 
than half of the offenses in this category. The average 
dollar loss for this type of robbery was $397. Although 
accounting for only 1 percent of all robberies, those of 
banks registered the highest average loss, $4,057 per 
incident. 



(By region] 





Total 


North- 
eastern 
Stales 


North 
Central 
Slates 


Southern 
States 


Western 
Stales 


Total' 


100.0 


100.0 


100.0 


100.0 


100.0 








54.2 

U.l 
3.1 
5.8 

11.4 
1.3 

13.1 


62,7 
9.0 
2.1 
1.5 

12.9 
,7 

111 


58.7 
8.7 
3.2 
4.0 

10.9 
.8 

13.8 


47.7 
12.7 

3.9 
10.9 
10.4 

1.1 
13.3 


43.7 


Commercial house 

Gas or service station .. . 


15.4 
3.8 
7.6 


Residence 

Bank 


10.5 

3.5 




15.5 







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



Robbery, Percent Distribution, 1983 

[By population group] 





Group 1 (55 

cities 250,000 

and over; 

population 

38,526,000) 


Group II (115 
cities 100,000 to 
249,999; popula- 
tion 16,843,000) 


Group III (297 
cities 50,000 to 
99,999; popula- 
tion 20,271,000) 


Group IV (625 
cities 25.000 to 
49,999; popula- 
tion 21,535,000) 


Group V (1,574 
cities 10,000 lo 
24,999; popula- 
tion 24,685,000) 


Group VI (6,339 
cities under 
10,000; popula- 
tion 22,741,000) 


County 

agencies 

(3,980 agencies; 

population 

69,654,000) 


Total' 


100.0 


100.0 


100,0 


100.0 


100.0 


100.0 


100.0 


Street/Highway 


60.1 
9.3 
1.9 
3.7 

11,5 
,8 

12.7 


55.7 
13,8 
35 
5,9 
10,4 
1,7 
9.0 


50,4 
14.0 
4.2 
8.0 
9.4 
2.2 
11.8 


45.8 

13.8 
5.2 
9.3 

10.0 
2.5 

13.4 


38.2 
14.2 

6.9 
12.3 
11.3 

2.4 
14,7 


29.8 
15,0 

6,8 
13,4 
13,4 

2,3 
19,1 


34.7 


Commercial house 

Gas or service station 


13.6 

5.9 

11.2 


Residence 


13.7 


Bank 


2.2 




18.8 







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

Firearms were the weapons used in the commission of 
37 percent of all robberies during 1983. Forty percent 
were committed through the use of strong-arm tactics; 14 
percent with knives or cutting instruments; and 9 percent 
with other weapons. 

Bank robberies were up 18 percent in volume for the 5- 
year period, 1979 versus 1983. During the same timespan, 
robberies of gas and service stations fell 33 percent; those 
of convenience stores dropped 7 percent; and those of 
other commercial establishments declined 5 percent. Up in 
number were street robberies (39 percent) and residential 
robberies (19 percent). 



Robbery, Type of Weapon Used, 1983 



[Percent distribution] 





Total 

all 

weapons' 


Armed 




Region 


Fire- 
arms 


Knife or 
other 
cutting 
instru- 
ments 


Other 
weapons 


Strong- 
armed 


Northeastern States 
North Central States 

Southern States 

Western States 


100,0 
100,0 
100.0 
1 00.0 


30,6 
34.7 
44.3 
37.2 


17,1 
11,1 
11.5 
13.3 


10,5 
12,1 
7,3 
8,5 


41,7 
42,1 
36.9 
41.0 


Total 


100.0 


36.7 


13.6 


9.5 


40.3 



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



18 



Clearances 

Twenty-six percent of the robbery offenses reported to 
law enforcement were cleared during 1983. Rural law 
enforcement agencies registered the highest robbery 
clearance rate, 44 percent. Agencies in suburban areas 
cleared 29 percent and those in cities, 25 percent. Persons 
under the age of 18 were the offenders in 12 percent of all 
1983 robbery clearances. This age group accounted for 15 
percent of the suburban area clearances, 12 percent of 
those in the cities, and 7 percent of the rural county 
clearances. 

Persons Arrested 

Law enforcement agencies made 5 percent fewer 
robbery arrests in 1983 than in 1982. The number of 
persons arrested was down 6 percent in the cities and 4 



percent in the suburban counties but declined less than 1 
percent in the rural counties. 

During 1983, 68 percent of the persons arrested for 
robbery were under 25 years of age, 48 percent were 
under 21, and 26 percent were under 18. Ninety-three 
percent of the arrestees were male. 

From the standpoint of race, 63 percent of those 
arrested were black, 36 percent were white, and the 
remainder were of other races. Twelve percent of the 
robbery arrestees were Hispanic. 

When compared with the 1979 total, robbery arrests 
showed a 2-percent increase in 1983. Although adult 
arrests were up 9 percent during this period, those of 
persons under 18 decreased 14 percent. 



19 




1979 



ISdO 



1981 



1982 



ROBBERY OF 
COMMERCIAL HOUSE 

1979 1983 

DOWN 5% 




1983 



1979 



1981 



1982 



1383 



ROBBERY OF 
GAS STATION 

1979 1983 

DOWN 33% 




1979 



1980 



1981 



+ 100% 

+ 75% 

+ 50% 

+ 25% 



- 25% 

- 50% 



ROBBERY OF 
CONVENIENCE STORE 

1979 1983 

DOWN 7% 




1982 



1983 



1979 



1980 



1981 



1382 



1983 



ROBBERY OF RESIDENCE 

1979 1983 

UP 19% 




1979 



+ 100% 

+ 75% 

+ 50% 

+ 25% 





BANK ROBBERY 

1979 1983 

UP 18% 




1980 



1981 



1982 



- 25% 
1983 1979 



1980 



1981 



1382 



1383 



20 



AGGRAVATED ASSAULT 



DEFINITION 



Aggravated assault is an unlawful attack by one person upon another for the 
purpose of inflicting severe or aggravated bodily injury. This type of assault is 
usually accompanied by the use of a weapon or by means likely to produce death or 
great bodily harm. Attempts are included since it is not necessary that an injury 
result when a gun, knife, or other weapon is used which could and probably would 
result in serious personal injury if the crime were successfully completed. 



TREND 



Year Number of offenses 

1982 655,383 

1983 639.532 

Percent change -2.4 



Rate per 100.000 
inhabitants 

283.1 

273.3 

-3.4 



21 



Volume 

Accounting for 5 percent of the Crime Index total and 
52 percent of the violent crime total, aggravated assaults 
numbered an estimated 639,532 nationally in 1983. The 
Southern States, the most populous region, reported 38 
percent of all aggravated assaults, followed by the 
Western States with 23 percent; the North Central States 
with 20 percent; and the Northeastern States with 19 
percent. 



















• 1I7» 
I9S3 


AGGRAVATED ASSAULT BY MOHTH 




Var/mtlon From Anausi Awaragm ^^^^^ 












^ ' 











AVffUGf 

m 
- m 




'^"""'^ 




m 


N. FEB. MAR. APR. MAY JUNE JULY 


AUG. 


SEPT. 


OCT. 


NOV. 


DEC. 



Similar to the national experience, city law enforcement 
agencies recorded a 2-percent drop in their aggravated 
assault counts from 1982 to 1983. Those in suburban and 
rural counties experienced 3- and 5-percent decreases, 
respectively. 

The 5-year trend, 1983 over 1979, showed an increase 
of 4 percent in the aggravated assault volume. 




In 1983, as in previous years, the highest volume of 
aggravated assaults occurred in the summer months. 

Aggravated Assault by Month, 1979-1983 

[Percent of annua] total] 



Months 



January , , , 
February . 

March 

April 

May 

June 

July 

August 

September 

October. 

November 

December 



1979 



7.0 
6.7 
8.1 
7.9 
8.5 
8.9 
9,4 
9.1 
9,2 
9,2 
8,1 
7,9 



1980 



6,9 
6,6 
7,6 
7,7 
8.9 
9.6 
10,3 
10,4 
8,9 
8,0 
7,7 
7,4 



1981 



7,4 
7,1 
8,0 
8,2 
8,7 
9,1 
9,4 
9,4 
8,6 
8,5 
7,7 
7,9 



1982 



7,3 
7,1 
8,1 
8,3 
9,0 
9,2 
9.7 
9,0 
8,7 
8.5 
7,4 
7,7 



1983 



7,7 
7,1 
7,9 
8,1 
8.9 
8.9 
9.8 
9,7 
8,9 
8,5 
74 
7,3 



Trend 

In 1983, aggravated assault decreased 2 percent in 
volume as compared to 1982. For the 2-year period, the 
trend in the geographic regions showed a decrease of 4 
percent in the Southern States, a 3-percent decline in the 
Northeastern States, a 1 -percent drop in the North 
Central States, and a decrease of less than 1 percent in the 
Western States. 



Rate 

On the average, 273 victims of aggravated assault were 
reported per 100,000 United States inhabitants during 
1983. In MS As, the aggravated assault rate was 306 per 
100,000 inhabitants; in cities outside metropolitan areas, it 
was 240; and in rural counties, it was 124 per 100,000 
inhabitants. 

Nationwide, the rate for aggravated assault decreased 3 
percent from 1982 and was down 2 percent from 1979. 

Nature 

In 1983, 29 percent of the aggravated assaults were 
committed with blunt objects or other dangerous 
weapons; 26 percent with personal weapons such as 
hands, fists, and feet; 24 percent with knives or other 
cutting instruments; and 21 percent with firearms. 

A comparison of 1979 and 1983 revealed that 
aggravated assaults committed with firearms declined 4 
percent in number. During the same 5-year period, 
assaults by knives or other cutting instruments increased 
1 1 percent, those with personal weapons rose 10 percent, 
and those where blunt objects or other dangerous 
weapons were used showed no change. 

The following table shows the 1983 regional experience 
of aggravated assault by type of weapon used. 



22 



Aggravated Assault, Type of Weapon Used, 1983 

[Percent distribution] 



Region 


Total 

all 

weapons' 


Fire- 
arms 


Knife or 
other 
cutting 
instru- 
ments 


Other 

weapons; 

club, 

poison. 

etc. 


Personal 
weapons 


Northeastern States 
North Central States 
Southern States 
Western States 


100,0 
100,0 
100.0 
100.0 


14,1 
22.2 
24.9 
20.4 


25.0 
24.4 
25.3 
20.6 


29.5 
30.8 
27.4 
30.0 


31.3 
22.7 
22.4 
29.0 


Total 


100.0 


21.2 


23.9 


29.1 


25.8 



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

Clearances 

Law enforcement agencies throughout the Nation 
cleared an average of 61 per 100 reported cases of 
aggravated assault during 1983. The rural counties 
recorded the highest clearance rate, 70 percent. 

Nine percent of the clearances reported nationally and 
by city and suburban county agencies were of offenses in 



which only persons under age 18 were identified as the 
assailants. Persons under 1 8 years of age accounted for 5 
percent of the rural county aggravated assault clearances. 

Persons Arrested 

The estimated number of persons arrested for 
aggravated assault in 1983 was 298,830. Total arrests for 
this offense were down 3 percent from the 1982 total. 
Arrests of males declined 4 percent, while female arrests 
increased 1 percent for the same 2-year period. 

During the 5-year period, 1979-1983, total arrests for 
aggravated assault increased 4 percent. Arrests of persons 
1 8 years of age and over rose 7 percent, while the number 
of arrests of persons under age 1 8 decreased 1 3 percent. 

In 1983, arrests of males for this offense outnumbered 
those of females by 6 to 1. Whites comprised 59 percent of 
the arrestees for aggravated assault; blacks, 39 percent; 
and all other races, the remainder. Eighty-eight percent of 
the arrestees were non-Hispanic. Persons arrested for this 
offense in 1983 comprised 59 percent of all arrestees for 
violent crimes. 



23 



448-194 0-84-2 



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. 





TRFMn 








Rate per 100.000 


Year 


Number of offenses 


inhabitants 


1982 


3.437,206 


1.4845 


1983 


3,120,842 


1.333.8 


Percent change 


-9.2 


- 10.2 



24 



Volume 

Estimated at over 3.1 million offenses in 1983, 
burglaries accounted for 26 percent of the Crime Index 
total and 29 percent of all property crime. The Southern 
States, the most populous region, recorded 34 percent of 
all reported burglaries. The Western States accounted for 
25 percent, the North Central States for 22 percent, and 
the Northeastern States for 19 percent. 

Burglary occurred most frequently in January of 1983. 



BURGLARY BY mHITH 



Variation From Annual Average 



JAN. FEB. MAR. APR. MAY lUNE JULY AUG. SEPT. OCT. NOV. DEC. 



Burglary by Month, 1979-1983 

[Percent of annual total] 



Months 



January .... 
February .. 

March 

April 

May 

June 

July 

August 

September 
October , , , 
November 
December 



1979 



8.2 
7.3 
8.2 
7.8 
8.0 
7.8 
8.8 
8.9 
8.4 
8.9 
8.6 
9.0 



1980 



8.0 
7.2 
7.9 
7.6 
8.1 
8.1 
9.0 
9.2 
8.6 
8.6 
8.4 
9.3 



1981 



8.2 
8.6 
7.9 
7.9 
8.0 
8.6 
8.7 
8.2 
8.3 
8.1 
8.5 



1982 



8.4 
7.7 
8.4 
7.9 
7.9 
8.3 



8.3 
8.3 
8.3 
8.9 



1983 



9.1 

7.8 
8.5 
7.9 
8.1 
7.8 
8.5 
9.0 
8.4 
8.5 
8.3 
8.1 



Trend 

Nationwide trends showed the burglary volume 
decreasing 9 percent in 1983 from the 1982 total. City and 
suburban burglary counts dropped 9 percent, while the 
rural counties recorded an 8-percent decline. Five-year 
trends showed the 1983 total volume 6 percent lower than 
in 1979. 

Geographically, all regions recorded significant 
declines in 1983 as compared to the 1982 level. Burglary 
decreased 13 percent in the Northeastern Region, 9 
percent in both the Southern and North Central Regions, 
and 7 percent in the Western Region. 

Rate 

The 1983 burglary rate (1,334 per 100,000 inhabitants) 
was 10 percent below the 1982 rate and down 12 percent 
from the 1979 experience. In the MSAs, a rate of 1,501 for 
every 100,000 in population was reported. The cities 
outside metropolitan areas had a rate of 1,039 per 100,000, 



and the rural counties showed a rate of 656 per 100,000 
inhabitants. 




Down in all geographic regions, the burglary rate was 
1,677 in the Western States, 1,345 in the Southern States, 
1,187 in the Northeastern States, and 1,174 in the North 
Central States. The rate decreases were 13 percent in the 
Northeastern Region, 1 1 percent in the Southern Region, 
and 9 percent in both the North Central and Western 
Regions. 

Nature 

Accounting for 66 percent of the reported burglaries 
during 1983, residential burglaries decreased 8 percent, 
1983 versus 1982. Nonresidential offenses accounted for 
the remaining 34 percent and were down 11 percent for 
the same 2-year period. 

Daytime residential burglaries dropped 10 percent in 
volume, while those committed during the night declined 
7 percent. The number of nonresidential burglaries 
recorded during the day fell 10 percent, and at night, 12 
percent. 

Seventy-one percent of the burglaries in 1983 involved 
forcible entry, 20 percent were unlawful entries (without 
force), and the remainder were forcible entry attempts. 

Burglary victims suffered losses estimated at $2.7 billion 
in 1983, and the average dollar loss per burglary was $860. 
The average loss for residential offenses was $893, while 
for nonresidential property, it was $794. 

Clearances 

The 1983 national burglary clearance rate was 15 
percent. 

Law enforcement agencies in rural counties cleared 18 
percent of the burglaries brought to their attention. Those 
in the suburban areas recorded a clearance rate of 16 
percent, and agencies in cities obtained clearances in 14 
percent of these crimes. 

Adults were involved in 77 percent of all burglary 
offenses cleared, and only young people under 18 years of 



25 



age were offenders in the remaining 23 percent. Similar to 
the national experience, persons under age 18 accounted 
for 23 percent of the burglary clearances in cities. The 
highest degree of juvenile involvement in burglary was 
recorded in the Nation's smallest cities (under 10,000 
population) where young persons under 18 years of age 
comprised 30 percent of the clearances. 

In suburban areas, those in this younger age group 
accounted for 26 percent of the burglary clearances, while 
in the rural counties, they comprised 22 percent. 

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. A comparison of 
arrest figures for 1982 and 1983 shows a 9-percent 
decrease in total burglary arrests. Arrests of persons under 
18 years of age dropped 13 percent, while adult arrests 
were down 7 percent. In 1983, burglary arrests dropped 
10 percent in the suburban areas, 10 percent in the 
Nation's cities, and 6 percent in the rural counties. 

During 1983, 75 percent of the burglary arrestees were 
under the age of 25, and 38 percent were younger than 18. 
An average of 7 of each 100 persons arrested for this 
crime during 1983 were female. Of the total burglary 
arrestees, whites accounted for 67 percent, blacks for 31 
percent, and other races for the remainder. Eighty-seven 
percent of the persons arrested for burglary were non- 
Hispanic. 



26 



RESIDENCE 
BURGLARY 

NIGHTTIME 
1979 1983 
UP 2% 




+ 100% 



+ 75% 



+ 50% 



+ 25% 



25% 



RESIDENCE 
BURGLARY 

DA YTIME 
1979 1983 
DOWN 1% 




1979 1980 1981 1982 1983 1979 1980 1981 1982 1983 



NONRESIDENCE 
BURGLARY 

NIGHTTIME 
1979 1983 
DOWN 11% 




1979 1980 



+ 100% 



+ 75% 



+ 50% 



+ 25% 



-25% 



NONRESIDENCE 
BURGLARY 

DA YTIME 
1979 1983 
UP 1% 




1981 1982 1983 1979 1980 1981 

BURGLARIES OF UNKNOWN TIME OF OCCURRENCE ARE NOT INCLUDED. 



1982 1983 



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-snatchmg, thefts from motor vehicles, thefts of 
motor vehicle parts and accessories, bicycle thefts, etc., in which no use of force, 
violence, or fraud occurs. In the Uniform Crime Reporting Program, this crime 
category does not include embezzlement, "con" games, forgery, and worthless 
checks. Motor vehicle theft is also excluded from this category inasmuch as it is a 
separate Crime Index offense. 



TREND 



Year Number of offenses 

1982 7.136,361 

1983 6. 707,020 

Percent change - 6.0 



Rate per 100.000 
inhabitants 

3,082.2 

2,866.5 

-7.0 



28 



Volume 

Comprising 56 percent of the Crime Index total and 62 
percent of all property crimes in 1983, larceny-thefts 
numbered over 6.7 million offenses. This high-volume 
crime occurred most frequently in August and least often 
during February. 



LARCENY-THEFT BY MONTH 



Variation From Anrtual Avorsga 



IAN. FEB. MAR. APR. MAY JUNE JULY AUG. SEPT. OCT. NOV. DEC. 



The highest number of larceny-thefts was reported by 
the Southern States, the most populous region, with 33 
percent of the total. The Western States recorded 25 
percent; the North Central States, 24 percent; and the 
Northeastern States, 18 percent. 

Larceny-Theft by Month, 1979-1983 

[Percent of annual total] 



Months 



January ... 
February .. 

March 

April 

May 

June 

July 

August . .. 
September 
October . . 
November 
December . 



1979 



6.9 

6.7 
8.1 

8.0 
8.4 
8.8 
9.4 
9.5 
8.5 
9.1 
8.3 
8.4 



1980 



7.3 
6.9 
7.8 
8.1 
8.6 
9.0 
9.4 
9.6 
8.6 
8.6 
7.9 
8.3 



1981 



7.6 
7.4 
8.3 
8.1 
8.2 
8.6 
9.1 
9.3 
8.4 
8.7 
8.1 
8.2 



1982 



7.1 
7.1 
8.0 
7.9 
8.3 
8.9 
9.2 
9.4 
8.6 
8.7 
8.2 
8.5 



1983 



8.1 
7.4 
8.4 
8.1 
8.4 
8.5 
8.9 
9.4 
8.4 
8.6 
8.0 
7.7 



Trend 

Nationally, the 1983 larceny-theft volume dropped 6 
percent from the 1982 experience. Collectively, the cities, 
like the Nation as a whole, recorded a 6-percent decrease. 
For both the suburban and rural counties, decreases of 7 
percent were registered. 

Geographically, larceny declined 7 percent in the 
Northeastern Region and 6 percent each in the North 
Central, Southern, and Western Regions. 

The change in the larceny-theft volume, 1983 versus 
1979, shows a 2-percent increase over the 5-year period. 
From 1974, larceny-theft rose 27 percent nationwide. 




Rate 

In 1983, the larceny-theft rate was 2,866 per 100,000 
inhabitants nationwide, a decrease of 7 percent from the 
previous year's rate. The rate was 4 percent lower than in 
1979 but 15 percent higher than in 1974. 

Collectively, the MSAs recorded a larceny-theft rate of 
3,200 per 100,000 inhabitants. In cities outside 
metropolitan areas, the rate was 3,085; and in the rural 
counties, it was 964. By geographic region, the larceny- 
theft rate ranged from 3,576 per 100,000 population in the 
Western States to 2,480 per 100,000 inhabitants in the 
Northeastern States. The rate in the North Central States 
was 2,785 per 100,000 population, and in the Southern 
States, it was 2,757 per 100,000. Rates in all regions 
dropped in 1983 from the 1982 level. The North Central 
States' rate was down 6 percent, while those in all other 
regions declined 7 percent. 

Nature 

The average value of property stolen during larceny- 
thefts in 1983 was $348 per incident. When the average 
value was applied to the estimated number of larceny- 
thefts, the loss to victims nationally was $2.3 billion for 
the year. This estimated dollar loss is considered 
conservative since other studies have indicated that many 
offenses in the larceny category, particularly if the value 
of the stolen goods is small, never come to law 
enforcement attention. 

The average value of goods and property reported 
stolen as a result of pocket-picking in 1983 was $218; by 
purse-snatching, $178; and by shoplifting, $72. 
Miscellaneous thefts from buildings and thefts from motor 
vehicles averaged $510 and $381, respectively, and thefts 
of motor vehicle accessories resulted in average losses of 
$238 per offense. The average value loss for bicycle theft 
was $152 per incident and for thefts from coin-operated 
machines, $133. 



29 



Larceny Analysis by Region, 1983 
[Percent distribution] 





Total' 


North- 
eastern 
States 


North 
Central 
Slates 


Southern 
States 


Western 
Sutes 


Total' 


100.0 


100.0 


100.0 


100.0 


100.0 


Pocket-picking 


1.2 
1.4 

12.8 

18.7 

19.2 
8.4 
15.9 

.9 
21.5 


3.8 

24 
105 

19 1 

19.6 
8.4 
19.5 

.6 
16.1 


.7 

1.4 
11.5 

15.7 

18.9 
9.0 
18.3 

.7 
23.7 


.5 

1.2 

12.5 

183 

21.2 
7.3 
13.7 

1.1 
24.3 


.7 




.9 




166 


From motor vehicles 
(except accessories) 

Motor vehicle 
accessories 

Hicycles 

I'rom buildings 

Irom coin-operated 
machines 

All others 


22.1 

16.1 
96 
13.8 

.9 
19.5 



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

Thefts of motor vehicle pTts, accessories, and contents 
accounted for 38 percent of the larceny-theft volume in 
1983. Other major types of thefts which contributed to the 
large number of these crimes were those from buildings, 
16 percent; shoplifting, 13 percent; and bicycles, 8 
percent. The remainder were distributed among pocket- 
picking, purse-snatching, thefts from coin-operated 
machines, and miscellaneous types of larceny-thefts. The 
accompanying table presents the distribution of larceny- 
theft by type and geographic region. 

Clearances 

Nationwide in 1983, 19 percent of all reported larceny- 
thefts were cleared. The Nation's city and suburban law 



enforcement agencies each cleared 20 percent of the 
larceny-thefts brought to their attention, while those in 
rural counties cleared 17 percent. Twenty-four percent of 
the national clearances for larceny-theft involved persons 
under 18 years of age exclusively. Twenty-six percent of 
the clearances in suburban areas, 25 percent of those in 
cities, and 16 percent of those in rural counties were 
accounted for by persons of this young age group. 

Persons Arrested 

Between 1982 and 1983, total larceny-theft arrests 
declined 4 percent, as did arrests of both males and 
females. Adult arrests also dropped 4 percent, while 
arrests of persons under 18 declined 5 percent. For the 5- 
year period, 1979-1983, the number of persons arrested for 
this offense showed a 9-percent increase. Although 
juvenile arrests were down 13 percent, those of adults 
were up 23 percent. 

The larceny-theft category not only comprised the 
largest portion of the total Crime Index offenses reported, 
it also accounted for 54 percent of the total arrests for 
Index crimes in 1983. Forty-eight percent of these 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 1983, 
comprised 30 percent of all larceny-theft arrestees. 

Whites accounted for 65 percent of the total larceny- 
theft arrests and blacks for 33 percent. All other races 
made up the remainder. Ninety percent of the arrestees 
were persons of non-Hispanic ethnicity. 



30 



POCKET-PICKING 

1979 1983 

UP 17% 



1979 



1980 



1981 



1982 



1983 



SHOPLIFTING 

1979 1983 

UP 25% 




1979 



1980 



1981 



1982 



1983 



THEFT OF MOTOR 
VEHICLE ACCESSORIES 

1979 1983 

DOWN 7% 




1979 



1980 



1981 



1982 



1983 



THEFT FROM BUILDINGS 

1979 1983 

UP 5% 



^ulUMi^^^M^MMMMdiii 



1979 



1980 



1981 



1982 



1983 



+ 100% 


+ 75% 


+ 50% 


+ 25% 





- 25% 


+ 100% 


+ 75% 


+ 50% 


+ 25% 





-25% 


+ 100% 


+ 75% 


+ 50% 


+ 25% 





-25% 


+ 100% 


+ 75% 


+ 50% 


+ 25% 





-25% 



PURSE-SNATCHING 

1979 1983 

UP 1% 




1979 



1980 



1981 



1982 



THEFT FROM 
MOTOR VEHICLES 

1979 1983 

UP 24% 



1979 



1980 



1981 



1982 



THEFT OF BICYCLES 

1979 1983 

DOWN 12% 



1979 



1980 



1981 



1982 



THEFT FROM 
COIN MACHINES 

1979 1983 

DOWN 7% 



1979 



SESS 



1980 



1981 



1982 



1983 




1983 



1983 



1983 



31 



LARCENY ANALYSIS 

1983 





LU 




LU 
O 

< 




;$!$ss$ 

















PURSE SNATCHING 1% 
POCKET PICKING 1% 
COIN MACHINES 1% 
SHOPLIFTING 13% 

BICYCLES 8% 



FROM MOTOR VEHICLES 19% 



FROM BUILDINGS 16% 



MOTOR VEHICLE ACCESSORIES 19% 



ALL OTHERS 22% 



3: 



MOTOR VEHICLE THEFT 
DEFINITION 



In Uniform Crime Reporting, motor vehicle theft is defined as the theft or 
attempted theft of a motor vehicle. This definition excludes the taking of a motor 
vehicle for temporary use by those persons having lawful access. 





TWFNn 








Rate per 100,000 


Year 


Number of offenses 


inhabitants 


1982 


1.058,610 


457.2 


1983 


1.004,372 


429.3 


Percent change 


-5.1 


-6.1 



33 



Volume 

Thefts of motor vehicles in the United States numbered 
an estimated 1,004,372 in 1983. These offenses comprised 
8 percent of all Index crimes and 9 percent of all property 
crimes. By region, 28 percent of the total volume of motor 
vehicle thefts was reported by the Northeastern States in 
1983. The Southern States accounted for 26 percent, the 
North Central States for 23 percent, and the Western 
States for 22 percent. 





















MOTOR VEHICLE THER BY MONTH 














'"' 


Vmtimtton From Annual Aomraga 












t« 


1 ^^ 


"■'^ 







- - 




- m 

- » 
















Jfl 


N. FEB. MAR. APR. MAY JUNE JULY 


AUG. 


SEPT. 


OCT. 


NOV. 


DEC. 



Monthly volume figures show that the greatest number 
of motor vehicle thefts was recorded in August, while the 
lowest volume occurred in February. 

Motor Vehicle Theft by Month, 1979-1983 

[Percent of annual total] 



Months 



January . 
February 

March 

April 

May 

June 

July 

August 
September 
October . 
November 
December. 



1979 



7.7 
7.2 
8.2 
8.0 
8.1 
8.2 
8.9 
9.1 
8.7 
9.2 
8.5 
8.4 



1980 



8.0 
7.4 
8.2 
8.0 
8.4 
8.5 
9.2 
9.5 
8.6 
8.5 
7,8 
7.9 



1981 



8.2 
7.7 
8.2 
7.9 
8.2 
8.3 
8.8 
9.1 
8.4 
9.0 
8.2 
8.0 



1982 



7.9 
7.5 
8.2 
8.0 
8.2 
8.6 
8.9 
9.1 
8.5 
8.6 
8.1 
8.3 



1983 



8.3 
7.5 
8.4 
8.0 
8.1 
8.0 
8.5 
9.1 
8.5 
8,7 
8.4 
8.5 



Trend 

When comparing 1983 to 1982, the number of motor 
vehicle thefts decreased 5 percent nationwide. In the 
suburban counties, this offense also dropped 5 percent. 
The Nation's cities recorded a 6-percent decline, and the 
rural counties registered a 7-percent drop. 

All regions experienced declines in the number of 
motor vehicle thefts reported in 1983. The volume 
dropped 8 percent in the Northeastern States, 6 percent in 
the Southern States, 3 percent in the Western States, and 2 
percent in the North Central States. 

The accompanying chart shows that the number of 
motor vehicle thefts has decreased 9 percent from the 



1979 volume. However, the thefts of motor vehicles 
increased 3 percent over the 10-year period, 1974-1983. 



MOTOR VEHICLE THEFT 

NUMBER OF OFFENSES DOWN 9% 

RATE PER 100,000 INHABITANTS DOWN 15% 


















■ ■■ 
















1979 



1980 



1981 



1982 



1983 



Rate 

The motor vehicle theft rate in 1983 was 429 per 
100,000 inhabitants nationwide, down 6 percent from the 
1982 rate. Compared to the 1974 experience, the rate 
decreased 7 percent, while over the 5-year period, 1979- 
1983, it dropped 15 percent. 

In the MSAs, the motor vehicle theft rate was 523 per 
100,000 inhabitants. Cities outside metropolitan areas 
(other cities) had a motor vehicle theft rate of 189, and the 
rural counties recorded the lowest rate, 100. The most 
heavily populated municipalities of the Nation continue to 
account for the high motor vehicle theft rates, clearly 
indicating that this offense is primarily a large-city 
problem. 

Regionally, the Northeastern States reported the 
highest motor vehicle theft rate, 577 per 100,000 
inhabitants. The remaining regions' rates per 100,000 
population were 488 in the Western States; 392 in the 
North Central States; and 331 in the Southern States. The 
rate declined 8 percent in both the Northeastern and 
Southern Regions, 5 percent in the Western Region, and 3 
percent in the North Central Region. 

In 1983, an estimated average of 1 of every 161 
registered motor vehicles was stolen nationally. 
Geographically, this rate was greatest in the Northeastern 
Region where 1 of every 100 motor vehicles registered 
was stolen. The other three regions reported lesser 
rates — 1 per 152 in the Western States, 1 per 182 in the 
North Central States, and 1 per 218 in the Southern States. 

Nature 

During 1983, the estimated total national loss due to 
motor vehicle theft was $4 billion. The average value of 
vehicles stolen was $3,934 at the time of theft. 

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



34 



Motor Vehicle Theft, 1983 

[Percent distribution) 



Region 


Total' 


Autos 


Trucks 
and 
buses 


Other 
vehicles 




lOO.O 
100.0 
100.0 
100.0 


89.5 
79.8 
65.7 
66.8 


5.3 
11.0 
20.7 
19.7 


5.2 


North Central States 


9.2 

13.7 


Western States 


13.5 


Total 


100.0 


75.7 


14.0 


10.3 



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

Clearances 

Law enforcement agencies nationwide cleared 15 
percent of the motor vehicle thefts reported in their 
locales during 1983. Those in cities cleared 13 percent; 
those in the suburban areas cleared 18 percent; and rural 
agencies cleared 34 percent. Clearance percentages for 
motor vehicle theft ranged from 9 percent in the 
Northeastern States to 20 percent in the Southern States. 
In the Western States, the clearance rate was 16 percent, 
and in the North Central States, 14 percent. 



In the suburban areas, persons in the under 18 age 
group accounted for 19 percent of the motor vehicle 
thefts cleared. In the Nation's cities and rural counties, 
they comprised 18 percent. 

Persons Arrested 

As in prior years, motor vehicle theft arrests primarily 
involved the younger segment of the Nation's population. 
During 1983, 55 percent of all persons arrested for motor 
vehicle theft were under 21 years of age, and those under 
18 accounted for 35 percent of the total. 

The number of arrests for this offense during 1983 
decreased 8 percent from the previous year's total. Arrests 
of persons under 18 were down 12 percent, and adult 
arrests decreased 5 percent. For all ages collectively, a 27- 
percent drop in motor vehicle theft arrests was evident 
during the period 1979-1983. 

In 1983, 66 percent of motor vehicle theft arrestees 
were white, 32 percent were black, and the remainder 
were of other races. Fifteen percent of all persons arrested 
for this offense were Hispanic. 



35 



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. 



36 



Background 

The UCR Program's collection of data on arson as a 
Part I Crime Index offense started in 1979 following a 
congressional mandate. Recognizing that arson has 
characteristics not common with other Index crimes, the 
data collection procedures were developed on the basis of 
input from the fire service and law enforcement 
communities, as well as the insurance industry. Specific 
guidelines and requirements were established for 
reporting arson offenses. 

Unlike other Crime Index offenses, the occurrence of 
arson is not always immediately established by officials at 
the scene. Since the entire concept of the Crime Index is 
based on actual offenses known to law enforcement, it was 
decided that only fires determined through investigation 
to have been willfully or maliciously set, including 
attempts, were to be reported as arsons. Suspicious fires or 
those of unknown origin were to be excluded until 
definitely determined to be arsons. 

The UCR policy on scoring multiple-offense situations, 
i.e., two or more Index crimes occurring at the same time 
and place, was modified for arson reporting only. Before 
the addition of arson to the Index, contributing law 
enforcement agencies were instructed that in such 
situations only one crime, based on an established 
hierarchy of offenses, was to be reported. It was, 
however, recognized that arson frequently occurs in 
conjunction with other Index crimes and that valuable 
information could be lost if the past procedure was 
employed. Therefore, it was determined that arson should 
be exempt from the hierarchy rule and that all arsons 
should be reported regardless of their commission in 
conjunction with another Crime Index offense. 

Volume 

During 1983, 11,286 law enforcement agencies 
representing approximately 89 percent of the Nation's 
inhabitants reported a total of 101,947 arson offenses. Data 
in the tables on the accompanying pages are based on 
figures received from 11,176 law enforcement agencies 
providing complete, detailed information, including type 
of structure and estimated monetary value of property 
damaged. Although the population coverage is 
insufficient to estimate the total 1983 United States arson 
experience, additional reported data on arson clearances 
and trends are shown in Tables 5 through 12 of this 
Section. 

Trend 

Based on reports from law enforcement agencies 
providing 6 or more months of arson data for 1982 and 
1983, arson trends are shown in Tables 9 through 12. 
Nationally, an 11 -percent decrease in reported arsons 
occurred during the 2-year period. With respect to city 
size, the trend ranged from a 14-percent decrease in cities 



with 250,000 to 499,999 inhabitants to an 8-percent decline 
in cities with 10,000 to 24,999 inhabitants. The Nation's 
suburban counties recorded a 9-percent drop, and the 
rural counties registered a 10-percent decline. 

By property type, those arsons in which structures were 
the targets decreased 2 percent nationwide. Arsons of 
mobile property were down 6 percent, and those of all 
other property declined 15 percent. 

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

Rate 

Arson rates per 100,000 inhabitants are shown in an 
accompanying table. Since the population coverage for 
arson data is lower than for the other Crime Index 
offenses, these data were tabulated independently. Based 
only on figures from law enforcement agencies supplying 
12 months of statistics for all Index crimes, including 
arson, the rates ranged from 96 per 100,000 inhabitants in 
cities with populations over 1 million to 24 per 100,000 
rural county inhabitants. The overall 1983 national arson 
rate was 49 per 100,000 population. 

Arson Rate, Population Group, 1983 

[8.377 agencies; 1983 estimated population 177,797.000; Rate per 100,000 
inhabitants] 



Group 


Rate 


TOTAL 


48.7 


TOTAL CITIES 


54.5 


Group I (cities 250,000 and over) 

(cities 1,000,000 and over) 

(cities 500 000 to 999,999) 


83.8 
96.2 
65.9 


(cities 250,000 to 499,999) 


83.5 


Group II (cities 100000 to 249,999) 


62 


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


50.6 


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


36.2 


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


29.0 


Group VI (cities under 10,000) 


27.8 


Suburban Counties... 

Rural Counties 

Suburban Area 


41.4 
24.1 
36.5 



Nature 

Structures comprised 61 percent of the property 
targeted by arsonists in 1983. Mobile property (motor 
vehicles, trailers, airplanes, boats, etc.) accounted for 23 
percent, and the remainder were directed at other 
property (crops, timber, fences, signs, etc.). 



37 



Arson, Type of Property, 1983 

[11.176 agencies: 1983 estimated population 186.865,000] 



Property classification 



TOTAL 

TOTAL STRUCTURE 

Single occupancy residential 

Other residential 

Storage 

Industnai/manufacturing 

Other commercial 

Community/public 

Other structure 

TOTAL MOBILE 
Motor vehicles 
Other mobile 

OTHER 



Number 

of 
offenses 



84,700 



51.690 
24.371 
8.064 
5.154 
825 
6.223 
4.750 
2.303 

19.724 

17 992 

1.732 

13,286 



Percent 
distribution 



lOO.O 



61.0 

28.8 

9.5 

6.1 

1.0 
7.3 
5.6 
2.7 

23.3 

21.2 

2.0 

15.7 



Sixty-three percent of the structural arsons in 1983 
involved residential property, with 47 percent of such 
offenses directed at single-occupancy residences. Fifteen 
percent of all targeted structural property was 
uninhabited or abandoned at the time the arson occurred. 

Motor vehicles comprised 91 percent of all mobile 
property at which arsons were directed. 

Arson, Structures Not in Use, 1983 

[11.176 agencies; 1983 estimated population 186,865,000] 



Type of structure 



TOTAL 

Single occupancy residential 

Other residential 

Storage 

Industrial/manufacturing 

Other commercial 

Community/public 

Other structure 



Number 

of 
offenses 



51,690 



24.371 
8,064 
5,154 
825 
6,223 
4,750 
2,303 



Percent 

not 
in use 



14.9 



18.0 
11.9 
16.0 
13.1 
9.6 
5.3 
25.6 



Averaging $9,384 per incident, the reported monetary 
value of property damaged due to arsons in 1983 was $795 
million. Industrial/manufacturing structures registered the 
highest average loss, $59,372 per offense. 



Arson, Monetary Value of Property Damaged, 1983 

[11,176 agencies; 1983 estimated population 186.865.000] 



Property classincation 



TOTAL.. 



TOTAL STRUCTURE 

Single occupancy residential . 

Other residential 

Storage 

Industrial/manufacturing 

Other commercial 

Community/public 

Other structure 



TOTAL MOBILE.. 
Motor vehicles 
Other mobile 

OTHER 



Number 

of 
offenses 



84.700 



51,690 

24.371 

8.064 

5.154 

825 
6.223 
4.750 
2,303 

19,724 
17,992 

1.732 

13,286 



Average 
damage 



$9,384 



13,920 
9,418 
10,119 
16,308 
59.372 
31.238 
12.940 
8.477 

3.407 
2,938 
8,280 

610 



Clearances 

The 1983 national arson clearance rate was 17 percent. 
City law enforcement agencies cleared 16 percent of the 
arson offenses brought to their attention; those in 
suburban counties cleared 21 percent; and those in the 
rural counties cleared 22 percent. Agencies in cities with 
fewer than 10,000 inhabitants registered the highest arson 
clearance rate, 24 percent. 

Thirty-four percent of all 1983 arson clearances 
involved solely young people under age 18, a higher 
percentage of juvenile involvement than for any other 
Index crime. Persons under 18 accounted for 34 percent of 
the structural arson clearances, 18 percent of those for 
mobile property, and 56 percent for arsons of al! other 
property. 

The tables on the following page show clearance data 
only for those 11,176 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 (37 percent) was recorded for offenses in 
which community or public structures were involved, 
while the lowest (11 percent) was registered for motor 
vehicles. 



38 



Arson Offenses Cleared by Arrest,' 1983 



(11,176 agencies-; 1983 estimated population 186.865,000] 



Property Classification 



TOTAL.. 



TOTAL STRUCTURE 

Single occupancy residential . 

Other residential 

Storage 

Industrial/manufacturing 

Other commercial 

Community/public 

Other structure 

TOTAL MOBILE 

Motor vehicles 

Other mobile 



OTHER 



Number 

of 
offenses 



84,700 



51,690 
24.371 
8,064 
5,154 
825 
6.223 
4,750 
2,303 

19,724 

17,992 

1,732 

13,286 



Percent 
cleared 
by arrest 



18.8 



21.7 
19.4 
25.5 
18.5 
15.5 
18.3 
37.1 
19.6 

11.3 
10.8 
16.6 

18.3 



'Includes offenses cleared by exceptional means. 

^The number of agencies used in this table is lower than the number used in 
Tables 19-22, To be included in this table, it was necessary that arson clearances 
be reported by property classification. 



Persons Arrested 

During 1983, the estimated number of arrests for arson 
totaled 19,800. Thirty-eight percent of the arrestees were 
under 18 years of age and 62 percent were under 25. 
Males comprised 88 percent of all arson arrestees. 

By race, 76 percent of the persons arrested for this 
offense were white, 23 percent were black, and the 
remainder were of other races. Hispanics comprised 7 
percent of the arrestees. 

Five- and 10-year trends show that the 1983 arson arrest 
total for all ages decreased 5 percent from the 1979 level 



Arsons Cleared by Arrest,' 1983 

Percent involving only persons under 18 years of age 
[11,176 agencies'; 1983 estimated population 186,865,000] 



Property Classification 



TOTAL.. 



TOTAL STRUCTURE 

Single occupancy residential . 

Other residential 

Storage 

Industrial/manufacturing 

Other commercial 

Community /public 

Other structure 



TOTAL MOBILE.. 

Motor vehicles .... 
Other mobile 



OTHER 



Total 
arsons 
cleared 



15,887 



11,222 

4,734 

2,057 

954 

128 

1,137 

1,760 

452 

2,237 

1,950 

287 

2,428 



Percent 

under 18 



34.9 



33.8 
28.3 
28.6 
50.6 
26.6 
22.3 
49.1 
49.3 

18.0 
15.8 
33.1 

55.7 



'Includes offenses cleared by exceptional means. 

'The number of agencies used in this table is lower than the number used in 
Tables 19-22. To be included in this table, it was necessary that arson clearances 
be reported by property classification. 



but was up 1 1 percent from the 1974 total. Arrests for this 
offense in 1983 were down 6 percent nationwide from the 
previous year, while they declined 8 percent in the 
Nation's cities and 1 percent in the rural counties. 
Suburban counties showed a decrease of less than 1 
percent. From 1982, arrests of persons under the age of 18 
declined 4 percent and adult arrests dropped 8 percent 
nationwide. Male arrests were down 5 percent and female 
arrests decreased 12 percent in the same 2-year period. 
Since 1974, however, both male and female arrests for 
arson have risen, 9 and 31 percent, respectively. 



39 



CRIME INDEX TOTAL 

CRIME INDEX OFFENSES DOWN 1% 

RATE PER 100,000 INHABITANTS DOWN 7% 



1979 



+ 20 
+ 10 














^ 





— in 


.*3*^^_ 




""■■""""»« 


^^^^^^^^-r 



1980 



1981 



1982 



1983 



Crime Index Total 

The estimated 12 million Crime Index offenses 
occurring in 1983 represented a 7-percent decline from 
1982. The 2-year decline was greater than any since 1960, 
the earliest year for which comparable data are available. 
Considering 5- and 10-year time frames, the 1983 total was 
down 1 percent from the 1979 figure but was 18 percent 
higher than that for 1974. 

Overall violent crime dropped 5 percent in 1983 as 
compared to 1982. The 1983 violent crime level was 4 
percent higher than in 1979 and 27 percent above the 1974 
experience. 

Collectively, the number of property crimes in 1983 fell 
7 percent from the 1982 volume and was 2 percent lower 



than in 1979. The 10-year trend showed a 17-percent rise 
over 1974. 

Two-year comparisons (1983 versus 1982) for the 
individual violent crimes showed both murder and 
robbery down 8 percent. While aggravated assault 
declined 2 percent, the number of forcible rapes showed 
no change. 

In the property crime category, burglary decreased 9 
percent, larceny-theft declined 6 percent, and motor 
vehicle theft dropped 5 percent. 

The estimated figures for all Crime Index offenses 
covering these time periods are set forth in the table, 
"National Crime, Rate, and Percent Change." 



40 



J Crime Index total' 

Modified Crime Index total 



Violent crime-... 
Property crime . 



National Crime, Rate, and Percent Change 



Offense 



Murder 

Forcible rape 

Robbery 

Aggravated assault... 
Burglary 
Larceny-theft 
Motor vehicle theft 
Arson 



Estimated crime 1983 



Number 



1,237,980 
10,832,200 



19,310 

78,920 

500,220 

639,530 

3,120,800 

6,707,000 

1,004,400 



Rate per 

100,000 

inhabitants 



5,158.6 



529.1 
4,6295 



8.3 

33.7 

213.8 

273.3 

1,333.8 

2,866.5 

429.3 



Percent change over 1982 



Number 



-6.7 



4.9 
6.9 



-8.4 
-2.4 
-9.2 
-6.0 
•5.1 



Rate per 

100,000 
inhabitants 



-7.7 



5.9 
■ 7.9 



- 1.2 
-9.4 
-3.4 
10.2 
-7.0 
-6.1 



Percent change over 1979 



Number 



-(-4.7 
- 1.7 



- 10.0 
-t-3.1 
-(-5.4 
-(-3.8 
-5.9 
-(-1.7 
-9.4 



Rate per 

100,000 
inhabitants 



-7.0 



2.1 
7.6 



- 14.4 
-3.2 

-.9 
-2.4 

- 11.5 
-4.3 

-14.8 



Percent change over 1974 



-M7.7 



-F27.0 
-H6.7 



-6.8 

-F42.5 
-(-13.1 
4-40.2 

4-2.7 
4-27.4 

4-2.8 



Rate per 

100.000 

inhabitants 



4-6.4 



4-14.7 
4-5.5 



- 15.3 
4-28.6 

4-2.2 
4-26.6 

-7.2 
4-15.1 

-7.1 



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



Regional Offense and Population Distribution, 1983 



Region 



United States total' 

Northeastern States . 
North Central States 
Southern States 
Western States 



Population 



100.0 



21.2 
25.2 
34.0 
19.6 



Crime 
Index 
total 



100.0 



19.9 
23.3 
32,6 
24.2 



Modified 
Crime 
Index 
total 



Murder 



100.0 



17.4 
19.6 
42.9 
20.1 



Forcible 
rape 



100.0 



16.3 
23.1 
34.7 
25.9 



Robbery 



31.1 
19.6 

27.2 
22.1 



Aggravated 
assault 



100.0 



19.4 
19.6 

37.8 
23.2 



Burglary 



100.0 



18.8 

22.2 
34.3 
24.7 



Larceny- 
theft 



100.0 



18.3 
24.5 
32.7 
24.5 



Motor 

vehicle 

theft 



100.0 



28.5 
23.0 
26.2 
22.3 



Arson 



Provided in the table, "Regional Offense and 
Population Distribution, 1983," are data showing the 
geographical distribution of estimated Index crimes and 
population. When utilizing figures presented on a regional 
basis in this publication, the reader is cautioned to 
consider each region's proportion of the total United 
States population. For example, while the Southern States 
accounted for the largest volume of Crime Index offenses 
in 1983, they also represented the greatest regional 
population. 

The table, "Crime Rate, Region, 1983," lists the crime 
rates per 100,000 inhabitants for the four geographic 
regions of the United States. Presented in the table, 
"Crime Rate, Area, 1983," are data for MSAs, rural 
counties, and cities and towns outside metropolitan areas 
(other cities). Crime rates relate the incidence of reported 
crime to population; however, many factors influence the 
nature and extent of crime in a particular community. 



Crime Rate, Region, 1983 

[Rate per 100,000 inhabitants] 



Offense 



Crime Index total 

Modified Crime Index total 

Violent crime 

Property crime 

Murder 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny- theft 

Motor vehicle theft 

Arson 



North- 
eastern 
States 



4,841.7 



597.2 
4,244.5 



6.8 

26.0 

313.9 

250.5 

1,187.3 

2,479.8 

577.4 



North 
Central 
States 



4,767.6 



416.2 
4,351.3 



6.4 

31.0 

166.2 

212.6 

1,174.4 

2,784.8 

392.1 



Southern 
States 



4,952.9 



519.7 
4,433.2 



10.4 

34.4 

171.2 

303.7 

1,344.9 

2,757.5 

330.8 



Western 

States 



6,357.5 



616.7 
5,740.8 



8.5 

44.4 

240.5 

323.3 

1,676.7 

3,576.4 

487.7 



41 



Crime Rate, Area, 1983 
[Rate per 100,000 inhabitants] 



Offense 


Total 
United 
Stales 


Metropolitan 
area 


Rural 
counties 


Other 

cities 


Crime Index total 


5.158.6 


5,852.3 


1,881.0 


4,629.4 


Modified Crime Index total 






529.1 
4.629.5 


627.2 
5,225.1 


161.2 
1,719.8 


315.3 




4,314.1 








8.3 

33.7 

213.8 

273.3 

1.3338 

2,866.5 

429.3 


9.1 

38.9 

272.9 

306.2 

1,501.5 

3,200.3 

523.4 


5.8 
15.1 
16.6 
123.7 
655.9 
963.8 
100.1 


5.0 




21.1 


Robbery 


49.4 


Aggravated assault 


239.8 




1,039.5 




3,085.5 


Motor vehicle theft 


189.1 


Arson 









Note 

The collection of statistics on arson as a Crime Index 
offense began in 1979. However, 1983 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 5 through 8. 
Two-year arson trends are shown in Tables 9 through 12. 

Crime Index Tabulations 

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 are presented in this Section's 
tabular portions. Although the total number of actual 



criminal offenses occurring is unknown, the volume of 
crimes reported to law enforcement agencies represents 
an indicator of criminal activity. 

In addition to the presentations outlined above, national 
averages for the value of property stolen in connection 
with each offense are presented. Further breakdowns by 
type for the robbery, burglary, larceny-theft, and arson 
classifications are listed. Data on the type and value of 
property stolen and recovered are also provided. 

In reviewing the tables in this report, it must be 
remembered that many factors can cause the volume and 
type of crime to vary from place to place. Population, one 
of these factors, is used in computing crime rates; 
however, all communities are affected to some degree by 
seasonal or transient populations. Since counts of current, 
permanent population are used in their construction, 
crime rates do not account for short-term population 
variability. A 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. 



42 



Table 1. — Index of Crime, United SUtes, 1983 



Population' 



Crime 
Index 
total 



Modified 
Crime 
Index 
total- 



Violenl 
crime' 



Property 
crime' 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



United States Total 

Rate per 100,000 
inhabitants 



233,981,000 



12,070,213 



5,158.6 



1,237,979 

529.1 



10,832,234 

4,629.5 



19,308 

8.3 



78,918 

33.7 



500,221 

213.8 



639,532 

273.3 



3,120,842 

1,333.8 



6,707,020 

2,866.5 



1,004,372 

429.3 



Metropolitan 
Statistical Area 

Area actually reporting' . 

Estimated totals 

Rate per 100,000 

inhabitants 

Other Cities 

Area actually reporting' .. 

Eistimated totals 

Rate per 100,000 

inhabitants 

Rural 

Area actually reporting'.. 

Estimated totals 

Rate per 100,000 
inhabitants 



177,067,726 

98.4% 
100.0% 



23,183,164 

93.8% 
100.0% 



33,729,110 

89.7% 
100.0% 



10,256,615 
10,362,512 

5,852.3 

1,004,895 
1,073,240 

4,629.4 

578.415 
634,461 

1,881.0 



1,103,114 
1,110,500 



627.2 



68,299 
73,105 



315.3 



48,263 
54,374 



161.2 



9,153,501 
9,252,012 

5.225.1 

936,596 
1,000,135 

4,314.1 

530,152 
580,087 

1,719.8 



16.084 
16,169 



9.1 



1,080 
1,168 



5.0 



1,685 
1,971 



5.8 



68.434 
68,949 

38.9 

4,534 
4,891 

21.1 

4,543 
5,078 

15.1 



481,388 
483,151 

272.9 

10,666 
11,456 

49.4 

4,971 
5.614 

166 



537,208 
542,231 

306.2 

52,019 
55,590 

239.8 

37,064 
41,711 

123.7 



2,631,554 
2,658,617 

1,501.5 

225,915 
240,983 

1,039.5 

201,340 
221,242 

655.9 



5,603,966 
5,666,615 

3,200 3 

669.523 
715.312 

3,085.5 

298,565 
325,093 

963.8 



917,981 
926,780 

523.4 

41,158 
43.840 

189.1 

30,247 
33,752 

100.1 



'Populations are Bureau of the Census provisional estimates as of July 1, 1983, and are subject to change. 

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

'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, and motor vehicle theft. Data are 
lot included for the property crime of arson. 

"The percentage representing area actually reporting will not coincide with the ratio between reported and estimated crime totals, since these data represent the sum of the 
calculations for individual states which have varying populations, portions reporting, and crime rates. 



fable 2. — Index of Crime, United States, 1974-1983 



Population' 



>Jumber of offenses: 

1974-211,392.000 

1975-213,124,000 

1976-214,659,000 

1977-216,332,000 

1978-218.059,000 

1979-220,099,000 

1980-225,349,264 

1981-229,146,000 

1982-231,534,000 

1983-233,981,000 

Rate per 100,000 inhabitants:' 

1974 

1975 

1976 

1977 

1978 

1979 

1980 

1981 

1982 

1983 



Crime 
Index 

total' 



10,253,400 
11,256,600 
11.315,600 
10.950,700 
11.174,000 
12.211.200 
13,366,100 
13,384,500 
12,933,700 
12,070,200 

4,850.4 
5,281.7 
5,271.4 
5,062.0 
5,124.3 
5,548.1 
5,931.3 
5.841.0 
5.586.1 
5,158.6 



Modified 
Crime 
Index 
total' 



Violent 
crime* 



974,720 
1,026,280 

988,410 
1,013.270 
1,068.280 
1,188,870 
1,323,400 
1.340,540 
1,301,500 
1,237,980 

461.1 

481.5 

460.5 

468. 

489.9 

540.2 

587.3 

585.0 

562.1 

529.1 



Property 
crime* 



9,278,700 
10,230,300 
10,327.200 

9,937,400 
10,105,800 
11,022,300 
12,042,700 
12,043.900 
11,632,200 
10,832,200 

4,389.3 
4,800.2 
4,811.0 
4,593.6 
4,634.4 
5.007.9 
5,344,0 
5.256.0 
5,024.0 
4,629.5 



Murder 
and non- 
negligent 

man- 
slaughter 



20,710 
20,510 
18,780 
19,120 
19,560 
21,460 
23,040 
22,520 
21,010 
19,310 

9.: 
9.6 



9.0 
9.7 
10.2 
9.8 
9.1 
8.3 



Forcible 
rape 



55.400 
56.090 
57,180 
63,610 
67,720 
76,510 
83,130 
82,630 
78,900 
78,920 

262 
26.3 
26.6 
29.4 
31.1 
34.8 
36.9 
36,1 
34.1 
33.7 



Robbery 



442,400 
464,970 
422,450 
407,440 
421,580 
474,680 
558,750 
585,480 
546,200 
500,220 

209.3 
218.2 
196.8 
188.3 
193.3 
215.7 
247.9 
255.5 
235.9 
213 



Aggra- 
vated 
assault 



456,210 
484,710 
489,990 
523,100 
559,430 
616,220 
658,480 
649,910 
655.380 
639,530 

215.8 
227.4 
228.3 
241.8 
256.5 
280.0 
292.2 
283.6 
283.1 
273.3 



Burglary 



3,039,200 
3,252.100 
3,099.800 
3,062,700 
3,119,300 
3,318,200 
3,784,300 
3,768,800 
3,437,200 
3,120,800 

1,437.7 
1,525.9 
1,444.0 
1,415.7 
1,430.5 
1,507.6 
1,679.3 
1,644.7 
1,484.5 
1,333.8 



Larceny- 
theft 



5,252,500 
5,977,700 
6,264,800 
5,900,500 
5,985,900 
6,595,300 
7.130,800 
7.188,300 
7,136,400 
6,707,000 

2,489.5 
2,804.8 
2,918.5 
2,727.5 
2,745.1 
2,996.5 
3,164.3 
3,137.0 
3,082,2 
2,8665 



Motor 
vehicle 
theft 



977,100 
1,000,500 
962.600 
974,200 
1,000,600 
1.108,800 
1.127,700 
1.086,800 
1,058,600 
1,004,400 

462.2 
469.4 
448.4 
450.3 
458.9 
503.8 
500.4 
474.3 
457.2 
429.3 



Arson' 



'Populations are Bureau of the Census provisional estimates as of July 1, except Apnl I, 1980, preliminary census counts, and are subject to change 

^Due to 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. 

'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. 

'Annual totals for years pnor to 1983 have been adjusted and may not be consistent with those in prior editions of this publication. See "Offense Estimation , pages 3 and 4 
for details. 

All rates were calculated on the offenses before rounding. 



43 



Table 3. — Index of Crime: Region, Geographic Division, and State, 1982-1983 



Population' 



Crime Index total 



Rate per 
100.000 



Modified Cnme 
Index total* 



Rate per 

100.000 



Violent crime 



Rate per 

100.000 



Property cnme' 



Rate per 
100.000 



Murder and non- 
ncgllgcnt manslaughter 



United Sutes Total'. 
Percent change.. 



Northeast.. 



Percent change. 

New England 



Percent change . 
Connecticul 



Percent change 
Maine 



Percent change 
Massachusetts 

Percent change . 
New Hampshire . 

Percent change 
Rhode Island 



Percent change . 
Vermont 



Percent change 



Middle Atlantic 



Percent change 
New Jersey 



Percent change . 
New York 



1982 
1983 



231.534,000 
233,981.000 



12,933,674 

12,070,213 

-6.7 



5.586.1 
5.158.6 

-7.7 



1982 
1983 



49,456,000 
49,519,000 



1982 
1983 



1982 
1983 



1982 
1983 



1982 
1983 



1982 
1983 



1982 
1983 



1982 
1983 



1982 
1983 



1982 
1983 



1982 
1983 



Percent change . 
Peitnsylvanta 



1982 
1983 



Percent change 



12.493.000 
12.489.000 



3.153,000 
3.138,000 

1.133.000 
1.146.000 



5.781.000 
5.767.000 



951.000 
959,000 



958.000 
955.000 



516.000 
525.000 



2.619.108 

2,397.561 
-8.5 

645.045 

589.047 

-8.7 

171.129 

156.204 

-8.7 

43.731 

42.186 

-3.5 

318,171 

288.971 

-9.2 

36.416 

32.187 

-11.6 

51.388 

47.802 

-7.0 

24.210 

21.697 

-10.4 



5,295.8 

4,841.7 

-8.6 

5.163.3 
4.716.5 

-8.7 
5.427.5 
4.977,8 

-8.3 
3.859,8 
3.681.2 

^.6 
5,503.7 
5.010.8 

-9.0 
3.829,2 
3.356,3 
-12,3 
5.364.1 
5.005.4 

-6.7 

4.691.9 

4.132.8 

-11,9 



36,963.000 
37.029.000 



7.438.000 
7.468.000 



17.659,000 
17,667.000 



11.865.000 
11.895.000 



,974,063 
,808.514 

-8.4 
422,191 
385,600 

-8.7 
,142,202 
,042,811 

-8.7 
409.670 
380.103 

-7.2 



5,340.6 
4.884.0 

-8.5 
5,676,1 
5,163.4 

-9.0 
6,468. 1 
5.902.6 

-8,7 
3.452,8 
3.195,5 

-7.5 



1,301.497 

1.237.979 

-*.9 



562.1 

529.1 

-5.9 



11.632,177 

10.832.234 

-6.9 



5,024.0 
4.629.5 

-7.9 



315,941 

295.723 
-6.4 

53.166 

52.148 

-1.9 

12,597 

11,767 

-6.6 

1,847 

1,829 

-1.0 

33.031 

33,264 

+ 7 

1,187 

1,200 

+ 1.1 

3,849 

3.392 

-11.9 

655 

696 

+ 6,3 



638.8 

597.2 
-6.5 

425.6 
417.6 

-1.9 
399.5 
375.0 

-6.1 
163,0 
159.6 

-2.1 
571.4 
576.8 
+ .9 
124.8 
125.1 
+ .2 
401.8 
355.2 
-11.6 
126.9 
132.6 

+ 45 



2,303,167 
2,101,838 

-8.7 

591.879 

536.899 

-9.3 

158.532 

144.437 

-8,9 

41.884 

40,357 

-3.6 

285.140 

255.707 

-10.3 

35.229 

30.987 

-12.0 

47.539 

44.410 

-6.6 

23.555 

21.001 

-10,8 



4,657.0 

4,244.5 

-8.9 

4.737,7 
4,299.0 

-9.3 
5,028,0 
4.602,8 

-8,5 
3.696,7 
3.5216 

-»,7 
4.932,4 
4.434,0 
-10,1 
3.704.4 
3.231,2 

-1 
4.962.3 
4.650.3 

-6,3 

4,564,9 

4,000,2 

-124 



262,775 

243,575 

-7.3 

45,175 

41,304 

-8.6 

174.833 

161.489 

-7,6 

42.767 

40,782 

-16 



710,9 
657.8 

-7.5 
607.4 
553.1 

-8.9 
990,1 
914,1 

-7.7 
360.4 
342.8 

^,9 



1.711.288 
1.564.939 

-8,6 
377.016 
344,296 

-8.7 
967.369 
881.322 

-8,9 
366.903 
339,321 

-7,5 



,629,7 
.226.3 

-8.7 
.068.8 
.610.3 

-9.0 
.478.1 
.988.5 

-8,9 
.092,3 
.852,6 

-78 



21,012 

19,308 

-8.1 



3,648 

3,360 

-7.9 

475 

420 

-11,6 

164 

129 

-21,3 

24 

24 

+ 

219 

203 

-7.3 

21 

19 

-9.5 

35 

26 

-25.7 

12 

19 

+ 58.3 



3.173 

2.940 

-7.3 

482 

399 

-17.2 

2.013 

1.958 

-2.7 

678 

583 

-140 



__ 



44 



able 3. — Index of Crime: Region, Geographic Division, and State, 1982-1983 



Forcible rape 


Robbery 


Aggravated assault 


Burglary 


Larceny -theft 


Motor vehicle theft 


Arson^ 


Number 


Rate per 
100,000 


Number 


Rate per 
100.000 


Number 


Rate per 

100,000 


Number 


Rate per 

100,000 


Number 


Rate per 
100,000 


Number 


Rate per 
100.000 


Number 


Rate per 
100,000 


78,898 


34.1 


546,204 


235.9 


655,383 


283.1 


3,437,206 


1,484.5 


7,136,361 


3,082.2 


1,058,610 


457.2 






78,918 


33.7 


500.221 


213.8 


639,532 


273.3 


3,120,842 


1,333.8 


6,707,020 


2,866.5 


1,004,372 


429.3 








-1.2 


-8.4 


-9.4 


-2.4 


-3.5 


-9.2 


-10.2 


-6.0 


-7.0 


-5.1 


-6.1 










12,584 


25.4 


172,347 


348.5 


127,362 


257.5 


675,566 


1,366.0 


1,317,633 


2,664.3 


309,968 


626.8 






12,887 


26.0 


155,455 


313.9 


124,021 


250,5 


587,953 


1,187.3 


1,227,976 


2,479.8 


285,909 


577.4 






+ 2.4 


+ 2.4 


-9.8 


-9.9 


-2.6 


-2.7 


-13.0 


-13.1 


-6.8 


-6.9 


-7.8 


-7.9 






2,828 


22.6 


20,818 


166.6 


29.045 


232.5 


167,036 


1.337,0 


338,788 


2,711.8 


86,055 


688.8 






2,876 


23.0 


20,085 


160.8 


28,767 


230.3 


150,022 


1,201.2 


311,444 


2,493.7 


75,433 


604.0 






+ 1.7 


+ 1.8 


-3.5 


-3.5 


-1.0 


-.9 


-10,2 


-10,2 


-8.1 


-8.0 


-12.3 


-12.3 






692 


21.9 


6,574 


208.5 


5,167 


163.9 


44,481 


1,410.8 


96,640 


3,065.0 


17,411 


552.2 






627 


20.0 


6,296 


200.6 


4,715 


150.3 


39,988 


1,274.3 


89,421 


2,849.6 


15,028 


478.9 






-9.4 


-8.7 


-4.2 


-3.8 


-8.7 


-8.3 


-10,1 


-9,7 


-7.5 


-7.0 


-13,7 


-13.3 






152 


13.4 


345 


30.5 


1,326 


117.0 


11,862 


1,047.0 


27,863 


2,459.2 


2,159 


190.6 






193 


16.8 


311 


27.1 


1,301 


113,5 


11,415 


996,1 


27,022 


2,357.9 


1,920 


167.5 






+ 27.0 


+ 25.4 


-9.9 


-U.l 


-1.9 


-3.0 


-3.8 


-A.9 


-3.0 


^.1 


-11.1 


-12,1 






1,464 


25.3 


12,359 


213.8 


18,989 


328.5 


82,212 


1.422.1 


146,933 


2,541.7 


55,995 


968,6 






1,495 


25.9 


12,023 


208.5 


19,543 


338.9 


72,291 


1,253.5 


133,883 


2,321.5 


49,533 


858.9 






+2.1 


+ 2.4 


-2.7 


-2.5 


+ 2.9 


+ 3.2 


-12.1 


-11.9 


-8.9 


-8.7 


-11.5 


-11.3 






154 


16.2 


322 


33.9 


690 


72.6 


8,987 


945.0 


24,115 


2,535.8 


2,127 


223.7 






187 


19.5 


231 


24.1 


763 


79.6 


7,882 


821.9 


21,359 


2,227.2 


1,746 


182.1 






+ 21.4 


+ 20.4 


-28.3 


-28.9 


+ 10.6 


+ 9.6 


-12.3 


-13.0 


-11.4 


-12.2 


-17.9 


-18.6 






186 


19.4 


1,099 


114.7 


2,529 


264.0 


13,414 


1,400.2 


27,077 


2,826.4 


7,048 


735.7 






160 


16.8 


1,078 


112.9 


2,128 


222.8 


12,722 


1,332.1 


25,463 


2,666.3 


6,225 


651.8 






-14.0 


-13.4 


-1.9 


-1.6 


-15.9 


-15.6 


-5.2 


^.9 


-6.0 


-5,7 


-11.7 


-11.4 






180 


34.9 


119 


23.1 


344 


66.7 


6,080 


1,178.3 


16,160 


3,131.8 


1,315 


254.8 






214 


40.8 


146 


27.8 


317 


60.4 


5,724 


1,090.3 


14,296 


2.723,0 


981 


186.9 






+ 18.9 


+ 16.9 


+ 22.7 


+ 20.3 


-7.8 


-9.4 


-5.9 


-7.5 


-11.5 


-13,1 


-25.4 


-26.6 






9,756 


26.4 


151,529 


409.9 


98,317 


266.0 


508,530 


1,375.8 


978,845 


2,648.2 


223,913 


605.8 






10,011 


27.0 


135,370 


365.6 


95,254 


257.2 


437,931 


1,182.7 


916,532 


2,475.2 


210,476 


568.4 






+ 2.6 


+ 2.3 


-10.7 


-10.8 


-3.1 


-3.3 


-13.9 


-14.0 


-6.4 


-6.5 


-6.0 


-6.2 






2,149 


28.9 


22,880 


307.6 


19,664 


264.4 


106,418 


1,430.7 


223,978 


3,011.3 


46,620 


626.8 






2,266 


30.3 


20,086 


269.0 


18,553 


248.4 


92,391 


1,237.2 


206,778 


2,768.9 


45,127 


604.3 






+ 5.4 


+ 4.8 


-12.2 


-12.5 


-5.6 


-6,1 


-13.2 


-13.5 


-7.7 


-8.0 


-3.2 


-3.6 






1 5,159 


29.2 


107,843 


610.7 


59,818 


338.7 


295,245 


1,671.9 


534,244 


3,025.3 


137,880 


780.8 






5,296 


30.0 


94,783 


536.5 


59,452 


336.5 


249,115 


1,410.1 


504.346 


2,854.7 


127,861 


723.7 






+ 2.7 


+ 2.7 


-12.1 


-12.1 


-.6 


-.6 


-15.6 


-15.7 


-5.6 


-5.6 


-7.3 


-7.3 






2,448 


20.6 


20,806 


175.4 


18,835 


158.7 


106,867 


900.7 


220,623 


1,859,4 


39,413 


332.2 






2,449 


20.6 


20,501 


172.3 


17,249 


145.0 


96.425 


810.6 


205,408 


1,726.8 


37,488 


315.2 










-1.5 


-1.8 


-8.4 


-8.6 


-9.8 


-10.0 


-6.9 


-7.1 


^.9 


-5.1 













45 



Table 3. — Index of Crime: Region, Geographic Division, and State, 1982-1983 — Continued 



North Central*. 



Percent change . 

East Nonh Cenlral' . 

Percent change . 
Illinois* 



Percent change. 
Indiana 



Percent change . 

Michigan 



Percent change . 
Ohio 



Percent change . 

Wisconsin 



Percent change . 



West North Central 

Percent change 
Iowa 



Percent change . 
Kansas 



Percent change . 
Minnesota 



Percent change . 
Missouri 



Percent change . 

Nebraska 



Percent change . 
North Dakota 



Percent change 
South DakoU 



Percent change 

See footnotes at end of table. 



1982 
1983 



1982 
1983 



1982 
1983 



1982 
1983 



1982 
1983 



1982 
1983 



1982 
1983 



1982 
1983 



1982 
1983 



1982 
1983 



Population 



58,927,000 
58,953,000 



1982 
1983 



1982 
1983 



1982 
1983 



1982 
1983 



1982 
1983 



41.585,000 
41,531,000 



11.448,000 
11.486.000 



5,471,000 
5,479,000 



9,109,000 
9,069,000 



10.791,000 
10,746,000 



4,765,000 
4,751,000 



17.342,000 
17.422.000 



2,905.000 
2.905,000 



2,408,000 
2,425.000 



Cnmc Index total 



2,999,542 

2,810,617 

-«J 

2.232,378 
2,098.093 

-6.0 
627,921 
598,069 

-».8 
242.338 
226.272 

-6.6 
618,001 
587,443 

-*.9 
532.594 
484.121 

-9.1 
211.524 
202.188 

^.4 



4,133,000 
4.144.000 



4.951,000 
4,970,000 

1,586,000 
1,597,000 



670,000 
680,000 



691,000 
700,000 



Rale per 
100,000 



767,164 

712,524 

-7.1 

120,166 

113,849 

-5.3 

119,244 

109,847 

-7.9 

184,110 

167,177 

-9,2 

244,966 

225,136 

-8.1 

62,660 

60.489 

-3.5 

17,742 

18,193 

+ 2.5 

18,276 

17,833 

-2.4 



5,090.3 

4,767.6 

-6.3 

5,368.2 
5,051.9 

-5.9 
5,485.0 
5,206.9 

-5.1 
4.429.5 
4,129.8 

-6.8 
6,784.5 
6,477.5 

^.5 
4,935,5 
4,505.1 

-8.7 
4,439.1 
4.255.7 

^.1 



4,423.7 
4.089.8 

-7.5 
4,136.5 
3.919.1 

-5.3 
4.952,0 
4,529.8 

-8.5 
4,454.6 
4,034.2 

-9.4 
4,947.8 
4,529.9 

-8.4 
3,950.8 
3,787.7 

-AA 
2,648.1 
2,675.4 

+ 1.0 
2,644.9 
2,547,6 

-3.7 



Modified Cnmc Index 
total ^ 



Rale per 

100.000 



Violent cnmc 



252,185 
245,380 

-2.7 

200.200 

195.890 

-2.2 

67.747 

63,521 

-6.2 

16,444 

15,547 

-5.5 

59.806 

64,993 

+ 8.7 

47.126 

42.759 

-9.3 

9,077 

9,070 

-.1 



51,985 

49.490 

-A 

5,018 

5,262 

+ 4.9 

8,088 

7.919 

-2.1 

9.062 

7.909 

-12.7 

25,078 

23,718 

-5.4 

3,641 

3,477 

^.5 

414 

365 

-11.8 

684 

840 

+ 22,8 



Rale per 

100.000 



428.0 

416.2 

-2.8 

481,4 
471.7 

-2.0 
591.8 
553.0 

-6.6 
300.6 
283.8 

-5.6 
656.6 
716,7 

+ 9,2 
436.7 
397.9 

-8.9 

190.5 

1909 

+ .2 



Propeny cnmc' 



2,747,357 

2,565,237 

-6.6 

2.032,178 
1.902.203 

-«.4 
560,174 
534,548 

-4,6 
225,894 
210,725 

-6.7 
558,195 
522,450 

-6.4 
485.468 
441,362 

-9.1 
202.447 
193,118 

-4,6 



299.8 
284.1 

-5.2 
172.7 
181.1 
+ 4,9 
335,9 
326.6 

-2.8 
219.3 
190,9 
-13,0 
506,5 
477.2 

-5.8 
229.6 
217.7 

-5.2 

61,8 

53,7 
-13,1 

99,0 
120,0 
+ 21,2 



715,179 

663.034 

-7.3 

115,148 

108,587 

-5.7 

111.156 

101.928 

-8.3 

175,048 

159,268 

-9.0 

219,888 

201,418 

-8.4 

59,019 

57.012 

-3.4 

17,328 

17,828 

+ 2.9 

17,592 

16,993 

-3.4 



Rate per 
100.000 



4,662.3 
4,351.3 

-6.7 
4,886,8 
4,580,2 

-6.3 
4,893,2 
4,653.9 

-4.9 
4,128.9 
3.846.0 

-6.9 
6,128,0 
5,760.8 

-6.0 
4,498.8 
4,107,2 

-8.7 
4,248,6 
4,064,8 

-4.3 



Murder and non- 
negligent manslaughter 



4,124.0 
3,805,7 

-7.7 
3.963.8 
3,737.9 

-5.7 
4.616.1 
4.203.2 

-8.9 
4,235.4 
3,843,3 

-9.3 
4.441.3 
4,052.7 

-8.7 
3,721.2 
3.569.9 

^,1 
2.586,3 
2,621.8 

+ 1.4 
2,545.9 
2,427.6 

-4.6 



3,845 

3,787 

-1.5 

3.011 

3.039 
+ .9 

1,005 

1,112 

+ 10.6 

355 

286 

-19,4 
827 
910 

+ 10.0 
676 
600 

-11.2 
148 
131 

-11,5 



834 

748 

-10.3 

67 

68 

+ 1.5 

138 

137 

-.7 

95 

69 

-27.4 

479 

403 

-15.9 

31 

42 

+ 35.5 

5 

14 

+ 180.0 

19 

15 

-21.1 



Rate per 
100.000 



46 



Table 3.- 


- Index of Crime: Region, Geographic Division, and SUte, 1982-1983 — Continued 












Forcible rape 


Robbery 


Aggravated assault 


Burglary 


Larceny-theft 


Motor vehicle theft 


Arson^ 


Number 


Rate per 
100.000 


Number 


Rate per 
100.000 


Number 


Rate per 
100.000 


Number 


Rate per 
100.000 


Nmnber 


Rate per 
100,000 


Number 


Rate per 
100.000 


Number 


Rate per 
100.000 


16,879 


28.6 


104,712 


177.7 


126,749 


2J5.1 


757,434 


1,285.4 


1,752,900 


2,974.7 


237,023 


402.2 






18,253 


31.0 


98,007 


166.2 


125,333 


212.6 


692,359 


1,174.4 


1,641,732 


2,784.8 


231,146 


392.1 






+8.1 


+ 8.4 


-6.4 


-6.5 


-1.1 


-1.2 


-8.6 


-8.6 


-6.3 


-6.4 


-2.5 


-2.5 






13,226 


31.8 


86,639 


208.3 


97,324 


2340 


559,955 


1,346.5 


1,276,624 


3,069.9 


195,599 


4704 






14,461 


34.8 


82,173 


197.9 


96,217 


231.7 


513,180 


1,235.7 


1,195,959 


2,879.7 


193.064 


464,9 






+ 9.3 


+ 9.4 


-5.2 


-5.0 


-1.1 


-1.0 


-8.4 


-8.2 


-6.3 


-6.2 


-1.3 


-1,2 






3,556 


31.1 


32,772 


286.3 


30,414 


265.7 


147,351 


1,287.1 


348.000 


3.039.8 


64,823 


566,2 






3,619 


31.5 


30,279 


263.6 


28,511 


248.2 


139.436 


1,214.0 


333,322 


2,902.0 


61,790 


538.0 






' +1.8 


+ 1.3 


-7.6 


-7.9 


-6.3 


-6.6 


-5.4 


-5.7 


-A.2 


^.5 


-A.l 


-5.0 






1,521 


27.8 


5,966 


109.0 


8,602 


157.2 


59,569 


1,088.8 


148,454 


2,713.5 


17,871 


326.6 






1,509 


27.5 


5,474 


99.9 


8,278 


151.1 


54,147 


988.3 


138,929 


2,535.7 


17.649 


322.1 






-.8 


-I.l 


-8.2 


-8.3 


-3.8 


-3 9 


-9.1 


-9.2 


-6.4 


-6.6 


-1,2 


-1.4 






4,246 


46.6 


24,699 


271.1 


30,034 


3297 


165,155 


1,813.1 


330,031 


3,623.1 


63,009 


691,7 






5,085 


56.1 


25,873 


285.3 


33,125 


365.3 


153,438 


1,691.9 


302,118 


3,331.3 


66,894 


7376 






+ 19.8 


+ 20.4 


+ 4.8 


i5.2 


+ 10.3 


+ 10.8 


-7.1 


-6.7 


-8.5 


-8.1 


+ 6,2 


+ 6.6 






3,223 


29.9 


19,809 


183.6 


23,418 


217.0 


141,316 


1,309.6 


302,962 


2,807.3 


41.190 


381.7 






3,387 


31.5 


17,132 


159.4 


21,640 


201.4 


124,179 


1,155.6 


280,156 


2,607.1 


37.027 


344,6 






+ 5.1 


+ 5.4 


-13.5 


-13.2 


-7.6 


-7.2 


-12.1 


-11.8 


-7.5 


-7.1 


-10.1 


-9,7 






680 


14.3 


3,393 


71.2 


4,856 


101.9 


46,564 


977.2 


147,177 


3,088.7 


8.706 


182,7 






861 


18.1 


3,415 


71.9 


4,663 


98.1 


41,980 


883.6 


141,434 


2,976,9 


9,704 


204,3 






+ 26.6 


+ 26.6 


+ .6 


+ 1.0 


^.0 


-3.7 


-9.8 


-9.6 


-3.9 


-3,6 


+ 11,5 


+ 11,8 






3,653 


21.1 


18,073 


104.2 


29.425 


169.7 


197.479 


1,138.7 


476,176 


2,746,4 


41.424 


238.9 






3,792 


21.8 


15,834 


90.9 


29,116 


167.1 


179,179 


1,028.5 


445,773 


2,558,7 


38.082 


218.6 






+ 3.8 


+ 3.3 


-12.4 


-12.8 


-1.1 


-1.5 


-9.3 


-9.7 


-6.4 


-6,8 


-8.1 


-8.5 






362 


12.5 


1,051 


36.2 


3,538 


121.8 


27,535 


947.8 


82,568 


2.842.3 


5,045 


173.7 






365 


12.6 


1,192 


41.0 


3,637 


125.2 


26,599 


915.6 


77.402 


2,664.4 


4,586 


157.9 






+ .8 


+ .8 


+ 13.4 


+ 13.3 


+ 2.8 


+ 2.8 


-3.4 


-3.4 


-6.3 


-6.3 


-9.1 


-9.1 






596 


24.8 


2,095 


87.0 


5,259 


218.4 


32,382 


1,344.8 


73,416 


3,048.8 


5,358 


222.5 






627 


25.9 


2,038 


84.0 


5,117 


211.0 


28,318 


1.167.8 


68,735 


2,834,4 


4,875 


201.0 






+ 5.2 


+4.4 


-2.7 


-3.4 


-2.7 


-3.4 


-12.6 


-13.2 


-6.4 


-7,0 


-9.0 


-9.7 






938 


22.7 


4,188 


101.3 


3,841 


92.9 


48,855 


1,182.1 


116,375 


2.815.8 


9,818 


237.6 






927 


22.4 


3,298 


79.6 


3,615 


87,2 


44,571 


1,075.6 


106,034 


2,558.7 


8,663 


209.0 






-1.2 


-1.3 


-21.3 


-21.4 


-5.9 


-6.1 


-8.8 


-9.0 


-8.9 


-9.1 


-11.8 


-12,0 






1,283 


25.9 


9,554 


193.0 


13,762 


278.0 


68,881 


1,391.3 


134,383 


2,714.3 


16,624 


335.8 






1,330 


26.8 


8,346 


167.9 


13,639 


274.4 


60,496 


1,2172 


125,140 


2,517.9 


15,782 


3175 






+ 3.7 


+ 3.5 


-12.6 


-13.0 


-.9 


-1.3 


-12.2 


-12.5 


-6.9 


-7,2 


-5.1 


-5,4 






329 


20.7 


982 


61.9 


2,299 


145.0 


12,867 


811.3 


43,331 


2,732.1 


2,821 


177,9 






339 


21.2 


796 


49.8 


2,300 


144.0 


12,408 


777.0 


42,026 


2,631.6 


2.578 


161,4 






+ 3.0 


+ 2.4 


-18.9 


-19.5 


+ .0 


-.7 


-3.6 


-4.2 


-3.0 


-3,7 


-8.6 


-9,3 






66 


9.9 


85 


12.7 


258 


38.5 


3,074 


458.8 


13,314 


1,987.2 


940 


140,3 






85 


12.5 


53 


7.8 


213 


31.3 


2.967 


436.3 


13,983 


2,056.3 


878 


1291 






+ 28.8 


+ 26.3 


-37.6 


-38.6 


-17.4 


-18.7 


-3.5 


-4.9 


+ 5.0 


+ 3.5 


-6.6 


-8,0 






79 


11.4 


118 


17.1 


468 


67.7 


3,88' 


562.2 


12,689 


1.865.3 


818 


118,4 






119 


17.0 


111 


15.9 


595 


85.0 


3,820 


545.7 


12,453 


1,779.0 


720 


102,9 






+ 50.6 


+49.1 


-5.9 


-7.0 


+ 27.1 


+ 25.6 


-1.7 


-2.9 


-3.4 


^.6 


-12.0 


-13,1 







47 



Table 3. — Index of Crime: Region, Geographic Division, and State, 1982-1983 — Continued 



Population' 



Crime Index total 



Rate per 

100,000 



Modified Crime 
Index total' 



Rate per 

100,000 



Violent crime 



Rate per 
100.000 



Property cnme* 



Rate per 
100,000 



Murder and non> 
negligent manslaughter 



Soutb. 



Percent change. 
South Atlantic 



Percent change. 
Delaware 



Percent change 

District of Columbia' . 



Percent change . 
Florida 



Percent change 
Georgia 



Percent change . 
Marylantl 



Percent change . 
North Carolina.... 



Percent change 
South CaroUna... 



Percent change . 
Virginia 



Percent change . 
West Virginia 



Percent change 



East South Central 



Percent change . 
Alabama 



Percent change . 

Kentucky 



Percent change . 
Mississippi 



Percent change 
Tennessee 



Percent change . 



West South Central.. 

Percent change . 
Arkansas 



Percent change . 
Louisiana 



Percent change . 
Oklahoma 



Percent change . 
Texas 



Percent change . 



1982 
1983 



1982 
1983 



1982 
1983 



1982 
1983 



1982 
1983 



1982 
1983 



1982 
1983 



1982 
1983 



1982 
1983 



1982 
1983 



1982 
1983 



1982 
1983 



1982 
1983 



1982 
1983 



1982 
1983 



1982 
1983 



1982 
1983 



1982 
1983 



1982 
1983 



1982 
1983 



1982 
1983 



78,136,000 
79,539,000 



38,213,000 
38,805,000 



602,000 
606,000 



631,000 
623.000 



10,416,000 
10,680,000 



5,639,000 
5,732,000 



4,265,000 
4,304,000 



6,019,000 
6,082.000 



3,203,000 
3,264,000 



5,491,000 
5,550,000 



1,948,000 
1,965,000 



4,220,401 

3,939,488 

-6.7 

2,161,166 

1,982,623 

-8.3 

38,437 

33,124 

-13.8 

66,886 

58,893 

-12.0 

777,577 

724,226 

-6.9 

294,060 

258,241 

-12.2 

256,428 

230,564 

-10.1 

273,458 

254,451 

-7.0 

171,718 

155,723 

-9.3 

233,683 

219,868 

-5.9 

48.919 

47.533 

-2.8 



5,401.4 

4,952.9 

-8.3 

5,655.6 
5,109.2 
-9.7 
6,384.9 
5.466.0 

-14.4 
10,600.0 
9,453.1 

-10.8 
7,465.2 
6.781.1 
-9.2 
5.214.8 
4.505.3 

-13.6 
6,012.4 
5,357.0 

-10.9 
4,543.2 
4.183,7 
-7.9 
5,361.2 
4,770.9 

-11.0 
4,255.7 
3,961.6 
-6.9 
2,511.2 
2,419,0 
-3.7 



14,812,000 
14,946,000 



609, 
560, 



3,943,000 
3,959,000 



3,667,000 
3,714,000 

2.551,000 
2,587,000 



4,651,000 
4,685,000 



25,111,000 
25,788.000 



2,291,000 
2,328,000 



4,362,000 
4,438,000 



3,177,000 
3,298,000 

15,280.000 
15,724,000 



181 
162 



l.W, 
127, 



205. 
187 



970 
871 
-8.0 
.701 
,361 
11.1 
854 
,569 
-2.5 
,137 
,995 
-8.9 
,278 
946 
-8.4 



,449.265 

.395.994 

-3.7 

88,697 

81,493 

-8.1 

231,674 

223,080 

-3.7 

165,917 

162,563 

-2.0 

962,977 

928,858 

-3.5 



4,118.1 
3,752.6 
-8.9 
4,633.6 
4,101,1 

-11,5 
3,568.4 
3,434.8 
-3.7 
3,572.6 
3,208.2 

-10.2 

4,413.6 

4.011.7 

-9.1 



5.771.4 
5,413.3 

-6,2 
3,871,5 
3,500.6 

-9.6 
5,311.2 
5,0266 

-5.4 
5,222,4 
4,929,1 

-5.6 
5,302.2 
5.907.3 

-6.3 



439,402 

413,390 

-5.9 

244.194 

228.977 

-6.2 

3.370 

2,746 

-18.5 

13,895 

12,369 

-11.0 

93.411 

88,292 

-5.5 

26,963 

26.179 

-2.9 

36,254 

34,736 

-4.2 

26,865 

24,91! 

-7.3 

23,061 

20,133 

-12.7 

16,970 

16,236 

^.3 

3,405 

3,375 

-.9 



562.4 
519.7 

-7.6 
639.0 
590.1 

-7.7 

559.8 

453.1 

-19.1 

2.202.1 

1.985.4 

-9.8 
896.8 
8267 

-7.8 
478.2 
456.7 

-A.5 
850.0 
807.1 

-5,0 
446,3 
409,6 

-8,2 
720.0 
616.8 
-14.3 
309.1 
292.5 

-5.4 
174.8 
171.8 

-1.7 



3,780,999 

3,526,098 

-6.7 

1,916,972 

1,753.646 

-8.5 

35,067 

30,378 

-13.4 

52.991 

46,524 

-12.2 

684,166 

635,934 

-7.0 

267,097 

232,062 

-13.1 

220,174 

195,828 

-11.1 

246,593 

229,540 

-6.9 

148,657 

135,590 

-8.8 

216,713 

203,632 

-6.0 

45,514 

44,158 

-3.0 



56,304 
54,529 

-3,2 
17.653 
16.471 

-6.7 
11,550 
11,967 

+ 3.6 
7,515 
7,255 

-3.5 
19,586 
18,836 

-3.8 



138,904 

129,884 

-6.5 

7.438 

6,930 

-6.8 

29,185 

28,444 

-2.5 

14,103 

13,964 

-1.0 

88,178 

80,546 

-8.7 



380.1 
364.8 

^.0 
447.7 
416.0 

-7.1 
315.0 
322.2 

+ 2.3 
294.6 
280 4 

-A 
421.1 
402,0 

^,5 



553,666 
506,342 

-8.5 
165,048 
145,890 
-11.6 
119,304 
115,602 

-3.1 
83,622 
75,740 

-9.4 
185,692 
169,110 

-8.9 



553.2 
503.7 

-8.9 
324.7 
297.7 

-8.3 
669 1 
640,9 

^,2 
443.9 
423.4 

-».6 
577.1 
512.2 
-11,2 



4,839.0 

4.433J 

-8.4 

5.016,5 
4.519.1 
-9.9 
5.825.1 
5,012.9 

-13.9 
8,397.9 
7,467.7 

-111 
6,568.4 
5,954.4 
-9.3 
4,736.6 
4.048,5 

-14,5 
5,162.3 
4,549.9 

-11.9 
4,096.9 
3,774.1 
-7.9 
4,641,2 
4,154.1 

-10.5 
3.946.7 
3.669.0 
-7.0 
2,336.4 
2,247.2 
-3.8 



3,738.0 
3,38 

-9.4 
4,185.8 
3,685.0 
-12.0 
3,253.4 
3.112.6 

^.3 
3,278.0 
2,927.7 
-107 
3,992.5 
3,609.6 

-9.6 



1,310,361 

1,265,110 

-3.4 

81,259 

74,563 

-8.2 

202,489 

194,636 

-3.9 

151.814 

148.599 

-2.1 

874,799 

848,312 

-3.0 



5,218.3 
4,909.7 

-5.9 
3,546.9 
3.202.9 

-9.7 
4.642,1 
4.385,7 

-5.5 
4,778,5 
4,505.7 

-5.7 
5,725.1 
5,395.0 

-5.8 



9,457 
8,274 
-12.5 

4.180 

3.551 

-15.0 

32 

25 

-21,9 

194 

183 

-5.7 

1.409 

1.199 

-14.9 

713 

483 

-32,3 

432 

367 

-15.0 

545 

490 

-10.1 

348 

321 

-7.8 

405 

387 

^.4 

102 

95 

-5.9 



1,582 

1,428 
-9.7 
417 
364 

-12.7 
355 
354 

+ 2.5 
358 
290 

-19.0 
452 
410 
-9.3 



3.695 

3.295 

-10.8 

187 

178 

^.8 

698 

629 

-9.9 

344 

249 

-27.6 

2.466 

2,239 

-9.2 



See footnotes at end of tabic. 



48 



Table 3. - 


- Index of Crime: Region, Geographic Division, and State, 1982-1983— Continued 












Forcible rape 


Robbery 


Aggravated assault 


Burglary 


Larceny-theft 


Motor vehicle theft 


Arson^ 


Number 


Rate per 
100.000 


Number 


Rate pel 
100.000 


Number 


Rate per 
100.000 


Number 


Rate per 
100.000 


Number 


Rale per 
100.000 


Nimiber 


Rate per 

100,000 


Number 


Rate per 

100.000 


28,748 


36.8 


148,966 


190.6 


252,231 


322.8 


1,175,464 


1,504.4 


2,325,972 


2,976.8 


279,563 


357.8 






27,356 


34.4 


136,193 


171.2 


241,567 


303.7 


1,069,742 


1,344.9 


2,193,251 


2,757.5 


263,105 


330.8 






-».8 


-6.5 


-8.6 


-10.2 


-4.2 


-5.9 


-9.0 


-10.6 


-5.7 


-7.4 


-5.9 


-7.5 






14,304 


37.4 


82.029 


214.7 


143.681 


376,0 


574,442 


1,503.3 


1,223,188 


3,201.0 


119,342 


312.3 






13,374 


34.5 


75.257 


193.9 


136,795 


352.5 


516,275 


1,330.4 


1,124,982 


2,899,1 


112,389 


289.6 






-6.5 


-7.8 


-8.3 


-9.7 


-*,8 


-6.3 


-101 


-11.5 


-8,0 


-9,4 


-5,8 


-7,3 






186 


309 


737 


122.4 


2,415 


401.2 


8,698 


1,444.9 


23,891 


3.968.6 


2,478 


411,6 






229 


37.8 


699 


115.3 


1,793 


295.9 


7.414 


1,223.4 


20,908 


3,450,2 


2,056 


339,3 






+ 23.1 


+ 22.3 


-5.2 


-5.8 


-25,8 


-26.2 


-14.8 


-15.3 


-12.5 


-13,1 


-17.0 


-17.6 






461 


73.1 


9,430 


1.494.5 


3,810 


603.8 


14,815 


2,347.9 


34,063 


5,398,3 


4,113 


651,8 






433 


69.5 


7,949 


1,275,9 


3,804 


610.6 


12,527 


2,010.8 


30,020 


4,818.6 


3,977 


638.4 






-6.1 


-4.9 


-15.7 


-14.6 


-,2 


+ 1,1 


-15.4 


-14.4 


-11,9 


-10.7 


-3,3 


-2,1 






5,587 


53.6 


31,002 


297.6 


55,413 


532,0 


211,932 


2,034,7 


427,462 


4,103.9 


44,772 


429.8 






5.170 


48.4 


28.126 


263.4 


53,797 


503,7 


191,902 


1,796.8 


400,796 


3,752.8 


43,236 


404.8 






-7.5 


-9.7 


-9.3 


-11.5 


-2.9 


-5,3 


-9,5 


-11.7 


-6,2 


-8.6 


-3.4 


-5,8 






2,242 


39.8 


8,716 


154.0 


15,292 


271,2 


84,469 


1,497.9 


165,049 


2,926,9 


17,579 


311.7 






2,021 


35.3 


8,267 


144,2 


15,408 


268,8 


72,614 


1,266,8 


143,398 


2,501,7 


16,050 


280.0 






-9.9 


-11.3 


-5.2 


-6,7 


+ .8 


-.9 


-14.0 


-15,4 


-13.1 


-14,5 


-8.7 


-10.2 






1,596 


37.4 


15.377 


360.5 


18,349 


441,9 


60,547 


1,419,6 


142,903 


3,350,6 


16,724 


3921 






1,412 


32.8 


14,950 


347.4 


18,007 


418,4 


52,697 


1,224,4 


127,443 


2,961,0 


15,688 


364.5 






-11.5 


-12.3 


-2.8 


-3.6 


^,5 


-5,3 


-13,0 


-13,8 


-108 


-11,6 


-6.2 


-7,0 






1,322 


22.0 


5,168 


85,9 


19,830 


329,5 


78,787 


1,309,0 


156,701 


2,603,4 


11,105 


184.5 






1,332 


21.9 


4,840 


79.6 


18,249 


300,0 


72,348 


1,189,5 


147,068 


2,418,1 


10,124 


166.5 






+ .8 


-.5 


-6.3 


-7,3 


-8,0 


-9.0 


-8,2 


-9,1 


-6,1 


-7,1 


-8.8 


-9,8 






1,242 


38.8 


3,921 


122,4 


17,550 


547,9 


47,752 


1.490,9 


92,009 


2.872,6 


8,896 


277,7 






1,144 


35.0 


3,425 


104,9 


15,243 


467,0 


42,263 


1,294,8 


85.501 


2,619,5 


7.826 


239,8 






-7.9 


-9.8 


-12.6 


-14.3 


-13.1 


-14,8 


-11,5 


-13.2 


-7.1 


-8,8 


-12,0 


-13.6 






1,366 


24.9 


6,708 


122.2 


8,491 


154,6 


53,457 


973,5 


153.148 


2,789,1 


10,108 


184,1 






1,370 


24.7 


6,132 


110.5 


8,347 


150.4 


51,055 


919,9 


142,714 


2,571,4 


9,863 


177.7 






+ .3 


-.8 


-8.6 


-9.6 


-1.7 


-2.7 


-4,5 


-5,5 


-«.8 


-7,8 


-2.4 


-3,5 






302 


15.5 


970 


49.8 


2,031 


104.3 


13,985 


717,9 


27,962 


1,435,4 


3,567 


183.1 






263 


13.4 


869 


44.2 


2,147 


109,3 


13,455 


684,7 


27,134 


1,380,9 


3,569 


181.6 






-12.9 


-13.5 


-10.4 


-11.2 


+ 5.7 


+ 4,8 


-3,8 


^,6 


-3.0 


-3,8 


+ .1 


-.8 






4,086 


27.6 


18,021 


121.7 


32,615 


220,2 


177,401 


1,197,7 


337,580 


2.279,1 


38,685 


261.2 






4,046 


27.1 


16,875 


112.9 


32,180 


215,3 


161,748 


1,082,2 


308,970 


2,067,2 


35.624 


238,4 






-1.0 


-1.8 


-6.4 


-7.2 


-1,3 


-2,2 


-8,8 


-9,6 


-8.5 


-9,3 


-7,9 


-8,7 






1 1,026 


26.0 


4,417 


112,0 


11,793 


299,1 


49,531 


1,256.2 


104,740 


2,656,4 


10,777 


273,3 






' 931 


23.5 


3,895 


98.4 


11,281 


284,9 


42,485 


1,073,1 


94.279 


2,381,4 


9,126 


2305 






-9.3 


-9.6 


-11.8 


-12.1 


-4.3 


-4.7 


-14,2 


-14,6 


-iO.O 


-104 


-15,3 


-15,7 






734 


20.0 


3,568 


97.3 


6,893 


188.0 


37,736 


1,029 1 


73,020 


1,991,3 


8,548 


233,1 






817 


22.0 


3,236 


87.1 


7,550 


203.3 


36,286 


977,0 


71,322 


1,9204 


7,994 


215,2 






+ 11.3 


+ 10.0 


-9.3 


-10.5 


+9.5 


+ 8.1 


-3.8 


-5,1 


-2,3 


-3,6 


-6,5 


-7,7 






675 


26.5 


1,863 


73.0 


4,619 


181.1 


30,200 


1,183,8 


49,504 


1,940,6 


3,918 


153.6 






616 


23.8 


1.650 


63.8 


4,699 


181,6 


26,479 


1,023,5 


45,584 


1.762,0 


3,677 


142.1 






-8.7 


-10.2 


-11.4 


-12.6 


+ 1.7 


+ ,3 


-12,3 


-13,5 


-7,9 


-9,2 


-6.2 


-7.5 






1,651 


35.5 


8,173 


175.7 


9,310 


200.2 


59,934 


1.288,6 


110,316 


2,371,9 


15,442 


332.0 






1,682 


35.9 


8,094 


172.8 


8,650 


184.6 


56,498 


1,205,9 


97,785 


2,087,2 


14.827 


316.5 






+ 1.9 


+ 1.1 


-1.0 


-1,7 


-7,1 


-7,8 


-5,7 


-6,4 


-11,4 


-12,0 


^,0 


^.7 






10,358 


41.2 


48,916 


194.8 


75,935 


302,4 


423,621 


1,687,0 


765,204 


3,047,3 


121,536 


484,0 






9,936 


38.5 


44,061 


170.9 


72,592 


281.5 


391,719 


1,519,0 


759,299 


2,944,4 


115,092 


446,3 






-4.1 


-6.6 


-9.9 


-12.3 


-^.4 


-6.9 


-7,5 


-10,0 


-.8 


-3.4 


-5.3 


-7,8 






622 


27.1 


1,805 


78.8 


4,824 


210.6 


24,547 


1,071,5 


52,450 


2,289.4 


4,262 


186,0 






586 


25.2 


1,614 


69.3 


4,552 


195.5 


22,380 


961,3 


48,140 


2,067,9 


4,043 


173,7 






-5.8 


-7.0 


-10.6 


-12.1 


-5.6 


-7.2 


-8.8 


-10.3 


-8,2 


-9,7 


-5.1 


-6,6 






1,740 


39.9 


9,275 


212.6 


17,472 


400.6 


62,151 


1,424.8 


125,701 


2,881.7 


14,637 


335,6 






1,770 


39.9 


8,433 


190.0 


17.612 


396.8 


57,359 


1,292,5 


123,492 


2,782.6 


13,785 


310,6 






+ 1.7 


+ .0 


-9 1 


-10.6 


+ .8 


-.9 


-7.7 


-9.3 


-1.8 


-3.4 


-5,8 


-7,4 






1,180 


37.1 


4,218 


132.8 


8,361 


263.2 


50,956 


1,603.9 


85,326 


2,685,7 


15,532 


488.9 






1,247 


37.8 


4,245 


128.7 


8,223 


249.3 


49,782 


1,509.5 


84,085 


2,549.6 


14,732 


446,7 






+ 5.7 


+ 1.9 


+ .6 


-3.1 


-1,7 


-5.3 


-2.3 


-5.9 


-1.5 


-5,1 


-5.2 


-8.6 






6,816 


44.6 


33,618 


220.0 


45,278 


296.3 


285,967 


1,871.5 


501,727 


3,283.6 


87,105 


5701 






6,333 


40.3 


29,769 


189,3 


42,205 


268.4 


262,198 


1,667,5 


503,582 


3,202,6 


82,532 


524.9 






-7.1 


-9.6 


-11.4 


-14,0 


-6.8 


-9.4 


-8,3 


-109 


+ .4 


-2,5 


-5.2 


-7,9 







49 



Table 3. — Index of Crime: Region, Geographic Division, and SUte, 1982-1983— Continued 
















Year 


Population' 


Cnme Index total 


Modified Cnme 
Index total' 


Violent 


crime' 


Property 


cnme' 


Murder and non- 
negligcnt manslaughter 


Area 


Numtjcr 


Rate per 
100.000 


Number 


Rate per 
100,000 


Number 


Rate per 
100.000 


Number 


Rale per 
100,000 


Number 


Rate per 
100.000 


West 


1982 
1983 

1982 
1983 


45,015,000 
45,970,000 

11,967,000 
12,331,000 


3,094,623 

2,922,547 

-5.6 

760,055 

725,567 

-4.5 

203,946 

189,382 

-7.1 

215.584 

208,025 

-3.5 

39,403 

38,233 

-3.0 

34,709 

37,945 

+ 9.3 

69,608 

59,709 

-142 

89.798 

88,783 

-1.1 

82,891 

82,859 

+ .0 

24,116 

20,631 

-145 


6,874.6 
6,357.5 

-7.5 
6,351.3 
5.884.1 

-7.4 
7,131.0 
6,391.6 
-10.4 
7,079.9 
6,627.1 

-6.4 
4,083.2 
3,865.8 

-5.3 
4.333.2 
4.644.4 

+ 7.2 
7,901.0 
6,701.3 
-15.2 
6,607.7 
6,346.2 

^.0 
5,334.0 
5,117.9 

-4.1 

4,804.0 

4,013.8 

-16.4 






293,969 

283,486 

-3.6 

57.486 

54,504 

-5.2 

14,785 

14,642 

-1.0 

15,354 

14,955 

-2.6 

2,501 

2,361 

-5.6 

1,801 

1,737 

-3.6 

7,096 

5,838 

-17.7 

9,982 

9,608 

-3.7 

4,440 

4,144 

-6.7 

1,527 

1,219 

-20.2 


653.0 

616.7 

-5.6 

4804 
442.0 

-8.0 
517.0 
494.2 

-AA 
504.2 
476.4 

-5.5 
259.2 
238.7 

-7.9 
2248 
212.6 

-5.4 
805.4 
655.2 
-18.6 
734.5 
686.8 

-6.5 
285.7 
256.0 
-104 
304.2 
237.2 
-22.0 


2,800,654 

2,639,061 

-5.8 

702,569 

671,063 

^.5 

189,161 

174,740 

-7.6 

200,230 

193,070 

-3.6 

36,902 

35,872 

-2.8 

32,908 

36,208 

+ 100 

62,512 

53,871 

-13.8 

79,816 

79,175 

-.8 

78,451 

78,715 

+ .3 

22,589 

19412 

-14.1 


6,221.6 
5,740.8 

-7.7 
5.870.9 
5,442.1 

-7.3 
6,614.0 
5.8974 
-108 
6,575.7 
6,1507 

-6.5 
3,824.0 
3,627.1 

-5.1 
4,108.4 
4431.8 

+ 7.9 
7.095.6 
6,046.1 
-148 
5,873.1 
5,659.4 

-3.6 
5,048.3 
4.862.0 

-3.7 
4,499.8 
3,776.7 

-16.1 


4,062 

3,887 

^.3 

850 

804 

-5.4 

236 

213 

-9.7 

182 

202 

+ 11.0 

24 

35 

+ 45.8 

31 

30 

-3.2 

120 

114 

-5.0 

158 

124 

-21.5 

53 

56 

+ 57 

46 

30 

-348 


9.0 


Percent chanse 


8.5 
-5.6 


Mountain 

Percent change 

Anzona 

Percent change 


7.1 

6.5 

-8.5 


1982 
1983 

1982 
1983 

1982 
1983 

1982 
1983 

1982 
1983 

1982 
1983 


2,860,000 
2,963,000 

3,045,000 
3,139,000 

965,000 
989,000 

801,000 
817.000 

881,000 
891,000 

1,359,000 
1,399,000 


8.3 

7.2 

-13.3 

6.0 




6.4 
+ 6.7 


Idaho 


2.5 


Percent change 

Montana 

Percent change 


3.5 
+ 40.0 
3.9 
3.7 
-5.1 
13.6 


Percent change 


12.8 
-5.9 
11.6 




8.9 
-23.3 


Utah 


1982 
1983 

1982 
1983 


1,554,000 
1,619,000 

502,000 
514,000 


34 




3.5 
+ 2.9 




9.2 




5.8 
-37.0 






Pacific 


1982 
1983 

1982 
1983 

1982 
1983 

1982 
1983 

1982 
1983 

1982 
1983 


33,049,000 
33,639,000 

438,000 
479,000 

24,724,000 
25,174,000 

994,000 
1,023,000 

2,649,000 
2,662,000 

4,245,000 
4,300,000 


2,334.568 

2,196,980 

-5.9 

27,211 

28,829 

+ 5.9 

1,801,256 

1,680,978 

-6.7 

65,448 

59,432 

-9.2 

173,973 

166,398 

^.4 

266,680 

261,343 

-2.0 


7,064.0 
6,531.1 

-7.5 
6,212.6 
6,018.6 

-3.1 
7.285.5 
6,677.4 

-8.3 
6,584.3 
5,809.6 
-11.8 
6,567.5 
6,250.9 

^.8 
6.282.2 
6,077.7 

-3.3 






236,483 

228,982 

-3.2 

2,732 

2,940 

+ 7.6 

201,429 

194,491 

-3.4 

2,542 

2,579 

+ 1.5 

12,529 

12,986 

+ 3.6 

17,251 

15,986 

-7.3 


715.6 
680.7 

^.9 
623.7 
613.8 

-1.6 
8147 
772.6 

-5.2 
255.7 
252.1 

-14 
473.0 
487.8 

+ 3.1 
406.4 
371.8 

-8.5 


2,098,085 

1,967,998 

-6.2 

24,479 

25,889 

+ 5.8 

1,599,827 

1,486,487 

-7.1 

62,906 

56,853 

-9.6 

161,444 

153412 

-5.0 

249,429 

245,357 

-1.6 


6,3484 
5,8503 

-7.8 
5,588.8 
5,404.8 

-3.3 
6,470.7 
5,904.9 

-8.7 
6,328.6 
5,557.5 
-12.2 
6,094.5 
5,763.0 

-5.4 
5,875.8 
5.706.0 

-2.9 


3,212 

3,083 

^.0 

81 

66 

-18.5 

2.779 

2,639 

-5.0 

31 

57 

+ 83.9 

136 

109 

-19.9 

185 

212 

+ 146 


9.7 


Percent change 


9.2 
-5.2 
18.5 


Percent change 


13.8 

-25.4 

11.2 


Percent change 


10.5 

-6.3 

3.1 




5.6 
+ 806 


Oregon 

Percent change 


5.1 

4.1 

-19.6 

4.4 


Percent change 


49 

+ 11.4 






Puerto Rico^ 


1982 
1983 


3,155,000 
3,205,000 


96,739 

92,252 

^.6 


3,066.5 

2,878.2 

-6.1 






15,168 

15,559 

+ 2.6 


4808 
485.4 
+ 1.0 


81,571 

76,693 

-6.0 


2,585.7 

2,392.7 

-7.5 


486 

421 

-134 


154 




13.1 
-14.9 







'Populations are Bureau of the Census provisional estimates as of July 1. 1982 and 1983. and all are subject to change 
'Although arson data are included in the trend and clearance tables, sufficient data are not available to estimate totals for this offense 

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

*The 1982 totals have been adjusted. See "OfTense Estimation", page 3. for details. 

'Includes offenses reported by the U.S. Park Police for the Distnct of Columbia and the Zoological Police. 

'"Population and offense data are not included in totals. 

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



50 



Table 3.- 


- Index of Crime: Region, Geographic Division, and State, 1982-1983 — Continued 












Forcible rape 


Robbery 


Aggravated assault 


Burglary 


Larceny-theft 


Motor vehicle theft 


Areon^ 


Number 


Rate per 

100.000 


Number 


Rate per 

100.000 


Number 


Rate per 
100.000 


Number 


Rate per 
100,000 


Number 


Rate per 
100,000 


Number 


Rate per 
100,000 


Number 


Rate per 
100,000 


20,687 


46.0 


120,179 


267.0 


149,041 


331.1 


828,742 


1,841.0 


1,739,856 


3,865.1 


232,056 


515.5 






20,422 


44.4 


110,566 


240.5 


148,611 


323.3 


770,788 


1,676.7 


1,644,061 


3,576.4 


224,212 


487.7 






-1.3 


-3.5 


-«.0 


-9.9 


-.3 


-2.4 


-7.0 


-8.9 


-5.5 


-7.5 


-3.4 


-5.4 






4,438 


37,1 


16,609 


138.8 


35,589 


297.4 


188,863 


1,578.2 


472,856 


3,951.3 


40,850 


341.4 






4,541 


36.8 


13,879 


112.6 


35,280 


286.1 


173,974 


1,410.9 


458,100 


3,715.0 


38,989 


316.2 






+ 2.3 


-.8 


-16.4 


-18.9 


-.9 


-3.8 


-7,9 


-10.6 


-3.1 


-6.0 


^,6 


-7.4 






1.100 


38.5 


4,537 


158.6 


8,912 


311.6 


53,861 


1.883.3 


124.723 


4,360.9 


10,577 


369.8 






1,241 


41.9 


3,923 


132.4 


9,265 


312.7 


49,440 


1,668.6 


114.721 


3,871.8 


10,579 


357,0 






+ 12.8 


+ 8.8 


-13.5 


-16.5 


+4.0 


+ .4 


-8.2 


-11,4 


-8.0 


-11.2 


+ .0 


-3.5 






1,356 


44.5 


4,587 


150.6 


9.229 


303.1 


53,260 


1,749,1 


134.873 


4,429.3 


12,097 


397.3 






1,316 


41.9 


3,968 


126.4 


9,469 


301.7 


48,101 


1,532,4 


133,271 


4,245,7 


11,698 


372.7 






-2.9 


-5.8 


-13.5 


-16.1 


+ 2.6 


-.5 


-9.7 


-12,4 


-1.2 


^.1 


-3,3 


-6.2 






160 


16.6 


292 


30.3 


2,025 


209.8 


9,958 


1,031,9 


25,256 


2,617,2 


1,688 


174.9 






181 


18.3 


270 


27.3 


1,875 


189.6 


9,206 


930,8 


24,979 


2,525,7 


1,687 


170.6 






+ 13.1 


+ 10.2 


-7.5 


-9.9 


-7.4 


-9.6 


-7.6 


-9.8 


-1.1 


-3,5 


-1 


-2.5 






119 


14.9 


265 


33.1 


1,386 


173.0 


6,759 


843.8 


24,079 


3,006,1 


2,070 


258.4 






162 


19.8 


192 


23.5 


1,353 


165.6 


7,420 


908,2 


26,918 


3,294.7 


1,870 


228.9 






+ 36.1 


+ 32.9 


-27.5 


-29.0 


-2.4 


-4.3 


+ 9.8 


+ 7.6 


+ 11.8 


+ 9.6 


-9,7 


-11.4 






542 


61.5 


3.697 


419.6 


2,737 


310.7 


21,256 


2,412.7 


36,279 


4,117.9 


4,977 


564.9 






457 


51.3 


2,737 


307.2 


2,530 


284.0 


17,922 


2,011,4 


31,749 


3,563.3 


4,200 


471.4 






-15.7 


-16.6 


-26.0 


-26.8 


-7.6 


-8.6 


-15.7 


-16,6 


-12.5 


-13.5 


-15.6 


-16.6 






656 


48.3 


1,715 


126.2 


7,453 


548.4 


22,135 


1,628.8 


53,402 


3,929.5 


4,279 


314.9 






671 


48.0 


1,595 


114.0 


7,218 


515.9 


21,813 


1,559.2 


53,077 


3,793.9 


4.285 


306.3 






+2.3 


-.6 


-7.0 


-9.7 


-3.2 


-5.9 


-1.5 


^,3 


-.6 


-3.5 


+ .1 


-2.7 






369 


23.7 


1,344 


86.5 


2,674 


172.1 


17,202 


1,106,9 


57,341 


3,689.9 


3,908 


251.5 






403 


24.9 


1,041 


64.3 


2,644 


163.3 


16,446 


1,015,8 


58.453 


3,610,4 


3,816 


235,7 






+ 9.2 


+ 5.1 


-22.5 


-25.7 


-1.1 


-5.1 


-AA 


-8,2 


+ 1.9 


-2,2 


-2.4 


-6.3 






136 


27.1 


172 


34.3 


1,173 


233.7 


4,432 


882.9 


16,903 


3,367.1 


1,254 


249.8 






110 


21.4 


153 


29.8 


926 


180.2 


3,626 


705.4 


14,932 


2,905.1 


854 


166.1 






-19.1 


-21.0 


-11.0 


-13.1 


-21.1 


-22.9 


-18.2 


-20.1 


-11.7 


-13.7 


-31.9 


-33.5 






16,249 


49.2 


103.570 


313.4 


113,452 


343.3 


639,879 


1,936.2 


1,267,000 


3,833.7 


191,206 


578.6 






15,881 


47.2 


96.687 


287.4 


113,331 


336.9 


596.814 


1,774.2 


1,185,961 


3,525.6 


185,223 


550.6 






-2.3 


^.1 


-6.6 


-8.3 


-.1 


-1.9 


-6,7 


-8.4 


-6.4 


-8.0 


-3.1 


^.8 






374 


85.4 


586 


133.8 


1,691 


386.1 


5,204 


1,188.1 


16,672 


3,806.4 


2,603 


594.3 






486 


101.5 


465 


97.1 


1,923 


401.5 


5,720 


1,194.2 


17,085 


3,566.8 


3,084 


643.8 






+ 29.9 


+ 18.9 


-20.6 


-27.4 


+ 13.7 


+ 40 


+ 9.9 


+ .5 


+ 2.5 


-6.3 


+ 18.5 


+ 8.3 






12,529 


50.7 


91,988 


372.1 


94,133 


380.7 


499,466 


2,020,2 


935,831 


3,785.1 


164,530 


665.5 






12,093 


48.0 


85.826 


340.9 


93,933 


373.1 


460,460 


1,829.1 


867,123 


3,444.5 


158,904 


631.2 






-3.5 


-5.3 


-6.7 


-8.4 


-.2 


-2.0 


-7.8 


-9,5 


-7.3 


-9.0 


-3.4 


-5.2 






342 


34.4 


1,560 


156.9 


609 


61.3 


16.477 


1,657,6 


42,248 


4,250.3 


4,181 


420.6 






301 


29.4 


1,330 


130.0 


891 


87.1 


13.636 


1,332,9 


38,920 


3.804.5 


4.297 


420.0 






-12.0 


-14.5 


-14.7 


-17.1 


+ 46.3 


+ 42.1 


-17.2 


-19,6 


-7.9 


-10.5 


+ 2.8 


-.1 






1,057 


39.9 


4,433 


167.3 


6,903 


260.6 


47,410 


1,789,7 


106,061 


4,003.8 


7,973 


301.0 






1,078 


40.5 


4,533 


170.3 


7,266 


273.0 


46,472 


1,745.8 


98,880 


3,714.5 


8,060 


302.8 






+ 2.0 


+ 1.5 


+ 2.3 


+ 1.8 


+ 5.3 


+ 4.8 


-2.0 


-2.5 


-6.8 


-7.2 


+ 1.1 


+ .6 






1,947 


45.9 


5,003 


117.9 


10,116 


238.3 


71,322 


1,680.1 


166.188 


3,914.9 


11.919 


280.8 






1,923 


44.7 


4,533 


105.4 


9,318 


216.7 


70,526 


1,640.1 


163,953 


3,812.9 


10,878 


253.0 






-1.2 


-2.6 


-9.4 


-10.6 


-7.9 


-9.1 


-1.1 


-2,4 


-1.3 


-2.6 


-8.7 


-9.9 






473 


15.0 


7,929 


251.3 


6,280 


199.1 


35,582 


1,127,9 


32,736 


1,037.7 


13,253 


420.1 






453 


14.1 


7,905 


246.6 


6,780 


211.5 


32,527 


1,0148 


30,729 


958.7 


13,437 


419.2 






-4.2 


-6.0 


-.3 


-1.9 


+ 8.0 


+ 6.2 


-8.6 


-10,0 


-i.l 


-7.6 


+ 1.4 


-.2 







51 



Table 4. — Index of Crime, State, 1983 



Population 



Cnme 
Index 
total 



Modified 
Cnmc 
Index 
total' 



Violent 
cnme^ 



Property 
crime' 



Murder and 

non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



ALABAMA 

Metropolitan Statistical 
Area 

Area acltially rq)orting.. 

Estimated Totals 

Other Cities 

Area actually reporting.. 

Estimated Totals 



Rural . 



Area actually reporting. 

Estimated Totals 

Sute Total 

Rate per 100,000 
inhabitants 



ALASKA 

Metropolitan Statistical 

Area 

Other Cities 

Area actually reporting 

Estimated Totals 
Rural 

Area actually reporting 
Sute Total 

Rate per 100.000 
inhabitants 



ARIZONA 

Metropolitan Statistical 
Area 

Area actually reporting.. 
Other Cities 

Area actually reporting.. 
Rural 

Area actually reporting. 

Estimated Totals 

State Total 

Rate per 100,000 
inhabitants 



ARKANSAS 

Metropolitan Statistical 
Area 

Area actually reporting. 
Other Cities 

Area actually reporting. 

Estimated Totals 

Rural 

Area actually reporting 
Sute Total 

Rate per 100,000 
inhabitants 



CALIFORNIA 

Metropolitan Statistical 
Area 

Area actually reporting. 
Other Cities 

Area actually reporting.. 
Rural 

Area actually reporting. 
sute Total 

Rate per 100,000 
inhabitants 



2,373,110 

99.4% 

100.0% 

697,054 

98.8% 

100.0% 

888,836 

93.7% 

100.0% 

3,959,000 



NONE 
331,875 
98.0% 
100.0% 
147,125 
100.0% 
479,000 



2,229,844 
100.0% 
368,244 
100.0% 
364,912 
91.7% 
100.0% 

2,963,000 



877,072 
100.0% 
597,844 
99.7% 
100.0% 
853,084 
100.0% 
2,328,000 



23,984,650 
100.0% 
517,694 
100.0% 
671,656 
100.0% 

25,174,000 



122.437 
123,227 

29,768 
30,123 

8,446 

9,011 

162,361 

4,101.1 



22,873 
23,350 

5,479 
2«,829 

6,018.6 



157,276 

23,526 

7,866 

8,580 

189,382 

6,391.6 



46,928 

24,262 
24,323 

10,242 
81,493 

3,500.6 



1,620,907 

35,272 

24,799 
1,680,978 

6,677.4 



12,005 
12,084 

3,324 
3,364 

959 

1.023 

16,471 

416.0 



1,982 
2,023 



917 
2,940 



613.8 



11,870 

1,746 

941 

1,026 

14,642 

494.2 



4,146 



2,091 
2,096 



6,930 

297.7 

189,132 

2,402 

2,957 
194,491 

772.6 



110,432 
111,143 

26,444 
26.759 

7,487 

7,988 

145,890 

3,685.0 



20,891 
21,327 

4,562 
25,889 

5,404.8 



145,406 

21,780 

6,925 

7,554 

174,740 

5,897.4 



42,782 

22,171 
22,227 

9,554 
74,563 

3,202.9 

1,431,775 

32,870 

21,842 
1,486,487 

5,904.9 



251 
252 

47 
48 

60 

64 

364 

9.2 



13.8 



176 

20 

16 

17 

213 

7.2 



65 
178 



7.6 



2,564 
32 



43 
2,639 



10.5 



720 
723 

138 
140 

64 

68 

931 

23.5 



344 
351 



135 
486 



101.5 



1,070 

99 

66 

72 

1,241 

41.9 



386 



130 
130 



70 
586 



25.2 



11,736 
182 



175 
12,093 



48.0 



3,442 
3,457 

329 
333 

98 

105 

3,895 

98.4 



436 
445 



20 
465 



97.1 



3,546 

279 

90 

98 

3,923 

132.4 



1,247 

280 
281 

86 
1,614 

69.3 



85.074 

495 

257 
85,826 

340.9 



7,592 
7,652 

2,810 
2,843 

737 

786 

11.281 

284.9 



1,171 
1,195 

728 
1,923 

401.5 



7,078 

1,348 

769 

839 

9,265 

312.7 



2,433 



1,648 
1,652 



467 
4,552 



195.5 



89,758 
1,693 



2,482 
93,933 



373.1 



31,791 
31,980 

7,171 
7,256 

3,045 

3,249 

42,485 

1,073.1 



4,041 
4,125 



1,595 
5,720 



1,194.2 



41,225 

5,468 

2,518 

2,747 

49,440 

1,668.6 



12,273 

6,384 
6,400 

3,707 
22,380 

961.3 



442,823 
8,926 



8,711 
460,460 



1,829.1 



70,979 
71,457 

18,280 
18,498 

4,053 

4,324 

94.279 

2.381.4 



14,368 
14.668 

2,417 
17,085 

3,566.8 



95,056 

15,342 

3,963 

4.323 

114,721 

3.871.8 



27.976 

14,854 
14,892 

5,272 
48,140 

2,067.9 



832,885 

22,376 

11,862 
867,123 

3,444.5 



See footnotes at end of table. 



52 



rable 4. — Index of Crime, State, 1983 — Continued 



Population 



Crime 
Index 
toul 



Modified 
Crime 
Index 
tolaJ' 



Property 
cnme^ 



Murder and 

non- 

negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



Arson' 



COLORADO 

Metropolitan Statistical 
Area 

Area actually reporting.. 

Estimated Totals 

)ther Cities 

Area actually reporting.. 

Estimated Totals 

lural 

Area actually reporting - 
itate Total 

Rate per 100.000 
inhabitants 



CONNECnCUT 

letropolitan Statistical 
Area 

Area actually reporting, 
nher Cities 

Area actually reporting., 
(.ural 

Area actually reporting 
tate Total 

Rate per 100.000 
inhabitants 



DELAWARE 

letropolitan Statistical 
Area 

Area actually reporting.. 
Iher Cities 

Area actually reporting., 
ural 

Area actually reporting.. 
tate Total 

Rale per 100,000 
inhabitants 



DISTRICT OF COLUMBIA* 

letropolitan Statistical 

Area 

Area actually reporting 

ther Cities 

.ural 

otal 

Rate per 100.000 
inhabitants 



FLORIDA 

letropolitan Statistical 
Area 

Area actually reporting.. 
Ither Cities 

Area acttially reporting., 
iural 

Area actually reporting 
tate Total 

Rate per 100,000 
inhabitants 



2,527.659 

99.9% 

100.0% 

293.795 

95.2% 

100.0% 

317,546 

100.0% 

3,139,000 



2.881,292 
100.0% 
91,945 
100.0% 
164,763 
100.0% 

3,138,000 



406,229 
100.0% 
65,781 
100.0% 
133,990 
100.0% 
606,000 



623,000 
100.0% 
NONE 
NONE 
623,000 



9,642,639 
100.0% 
278,955 
100.0% 
758.406 
100.0% 
10,680,000 



178,217 
178,265 

18,527 
19.453 

10.307 
208,025 

6,627.1 



149,233 

3,162 

3,809 
156,204 

4,977.8 



23,695 

5,034 

4,395 
33,124 

5,466.0 



58,893 

58,893 

9,453.1 

681,117 

17.660 

25,449 
724,226 

6,781.1 



13,388 
13,392 

949 
996 

567 
14,955 



11,317 

129 

321 
11,767 

375.0 



1.875 

405 

466 
2,746 

453.1 



12.369 

12,369 

1.985.4 

83.423 

1.864 

3,005 
88,292 

826.7 



164,829 
164,873 

17,578 
18,457 

9,740 
193,070 

6,150.7 



137.916 

3.033 

3.488 
144,437 

4.602.8 



21.820 

4.629 

3.929 
30,378 

5.012.9 



46.524 

46,524 

7.467.7 

597.694 

15,796 

22,444 
635,934 

5,954.4 



168 
168 



14 
202 



6.4 



122 



7 
129 



4.1 



183 

183 

29.4 

1,104 

25 

70 
1,199 

11.2 



1,183 
1,183 



61 
1,316 



41.9 



595 
9 



23 
627 



20.0 



153 
26 



50 
229 



37.8 



433 

433 

69.5 

4,873 

77 

220 
5,170 

48.4 



3,804 
3,805 

109 
114 

49 
3,968 

126.4 

6,200 

45 

51 
6,296 

200.6 

594 

76 

29 
699 

115.3 

7,949 

7,949 

1,275.9 

27,366 

331 

429 
28,126 

263.4 



8,233 
8,236 



752 
790 



443 
9,469 



301.7 



4,400 

75 



240 
4,715 



150.3 



1,113 
303 



377 
1,793 



295.9 



3,804 

3,804 

610.6 

50.080 

1.431 

2.286 
53,797 

503.7 



41.926 
41.936 

3.285 
3.449 

2.716 
48,101 

1,532.4 



37,701 

846 

1,441 
39,988 

1,274.3 

5,219 

891 

1,304 
7,414 

1,223.4 

12,527 

12,527 
2,010.8 

179,085 

4.513 

8.304 
191,902 

1.796.8 



112.384 
112.416 

13.626 
14.308 

6.547 
133,271 

4,245.7 



85,672 

1,971 

1,778 
89,421 

2,849.6 

14,879 

3,568 

2,461 
20,908 

3,450.2 

30,020 

30,020 

4,818.6 

377,358 

10,581 

12.857 
400,796 

3,752.8 



10,519 
10.521 

667 
700 

477 
11,698 

372.7 



14,543 

216 

269 
15,028 

478.9 



1,722 

170 

164 
2,056 

339.3 



3,977 

3,977 

638.4 

41,251 

702 

1,283 
43J36 

404.8 



See footnotes at end of table. 



53 



Table 4. — Index of Crime, SUte, 1983 — Continued 



Population 



Cnmc 
Index 
total 



Modifled 
Cnmc 
Index 
total' 



Property 
crime' 



Murder and 

non- 

negltgcnt 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



GEORGIA 

Metropolitan Statistical 
Area 

Area actually reporting.. 

Estimated Totals.. 

Other Cities 

Area actually reportitig.. 

Estimated Totals 



Rural 



Area actually reporting.. 

Estimated Totals 

SUte Total 

Rate per 100,000 
inhabitants 

HAWAII 

Metropolitan Statistical 
Area 

Area actually reporting.. 
Other Cities 

Area actually reporting.. 
Rural 

Area actually reporting.. 
SUte Total 

Rate per 100,000 
inhabitants 



IDAHO 

< Metropolitan Statistical 

Area 

Area actually reporting. 

Other Cities 

Area actually reporting.. 

Rural 

Area actually reporting. 

Estimated Totals 

Sute Total 

Rate per 100,000 
inhabitants 



ILLINOIS 

Metropolitan Statistical 
Area 

Area actually reporting. 

Estimated Totals 

Other Cities 

Area actually reporting 

Estimated Totals 

Rural 



Area actually reporting.. 

Estimated Totals 

SUte Total 

Rate per 100,000 
inhabitants 



INDIANA 

Metropolitan Statistical 
Area 

Area actually reporting.. 

Estimated Totals 

Other Cities 

Area actually reporting. 

Estimated Totals 



Rural . 



Area actually reporting. 

Estimated Totals 

SUte ToUl 

Rate per 100,000 
inhabitants 



3,575,039 




97.4% 


190,749 


100.0% 


195,373 


825,589 




88.6% 


34,705 


100.0% 


39,163 


1,331,372 




85.8% 


20,328 


100.0% 


23,705 


5,732,000 


258,241 



808,092 
100,0% 
39,293 
100,0% 
175,615 
100,0% 
1,023,000 



181,203 
100,0% 
398,561 
100,0% 
409,236 
98,9% 
100,0% 
989,000 



9,364,864 

99.7% 

100.0% 

1,066,462 

97.5% 

100.0% 

1,054,674 

99.2% 

100.0% 

11,486,000 



3.709,096 
89.5% 
100,0% 
631,316 
73,4% 
100.0% 
1.138,588 
66 6% 

UXIO'Xr 

5,479,000 



4,505.3 

46,228 

2,310 

10,894 
59,432 

5,809.6 

8,616 

21.132 

8,394 

8,485 

38,233 

3,865.8 



541,416 
542,564 

40,080 
41,088 

14,306 

14,417 

598,069 

5,206.9 



166,362 
179,573 

21,232 
28,928 

11,830 

17.771 

226,272 

4,129,8 



19,786 
20,100 

3,141 
3,544 

2,174 

2,535 

26,179 

456.7 



2,136 

61 

382 
2,579 

252.1 



238.7 



60,427 
60,501 

2,112 
2,165 

849 

855 

63,521 

553.0 



12,629 
13,313 

789 
1,076 

771 

1,158 

15,547 

283.8 



170,963 
175,273 

31,564 
35,619 

18,154 

21.170 

232,062 

4,048.5 



44,092 

2,249 

10,512 
56,853 

5,557,5 



664 


7,952 


1,137 


19,995 


553 


7,841 


560 


7,925 


2,361 


35,872 



3,627.1 



480,989 
482,063 

37,968 
38,923 

13,457 

13,562 

534,548 

4,653.9 



153,733 
166,260 

20,443 
27,852 

11,059 

16,613 

210,725 

3,846.0 



338 
343 

68 
77 

54 

63 

483 

8.4 



45 



5.6 



3.5 



1,062 
1,063 

31 
32 

17 

17 

1,112 

9.7 



211 

217 

11 
15 

36 

54 

286 

5.2 



1,546 
1,573 

222 
250 

170 

198 

2,021 

35.3 



249 
12 



40 
301 



29.4 



53 

75 

52 

53 

181 

18.3 



3,420 
3,424 

136 

139 

56 

56 

3,619 

31.5 



1,251 
1,309 

54 
74 

84 

126 

1,509 

27.5 



7,133 
7,234 

623 
703 

283 

330 

8,267 

144.2 



1,243 
13 



74 
1,330 



130.0 



70 

150 

49 

50 

270 

27.3 



29,726 
29,750 

431 
442 

86 

87 

30,279 

263.6 



4.888 
5,065 

206 
281 

85 

128 

5,474 

99.9 



10,769 
10,950 

2,228 
2,514 

1,667 

1,944 

15,408 

268.8 



599 
36 



256 
891 



87.1 



537 

899 

434 

439 

1,875 

189.6 



26,219 
26,264 

1,514 
1.552 

690 

695 

28,511 

248.2 



6.279 
6,722 

518 
706 

566 

850 

8,278 

151.1 



52,345 
53,606 

9,512 
10,734 

7,095 

8,274 

72,614 

1,266.8 



10,044 
484 



3,108 
13,636 



1,332.9 



2,060 

4,305 

2.811 
2,841 
9,206 

930.8 



124,780 
125,041 

9,486 
9,725 

4,634 

4,670 

139,436 

1,214,0 



40,254 
43,235 

3,866 
5,267 

3,758 

5,645 

54,147 

988.3 



106,054 
108,784 

20,675 
23,331 

9,676 

11.283 

143,398 

2,501.7 



30,195 

1,683 

7,042 
38,920 

3,804.5 



5,544 

14,844 

4,542 

4,591 

24,979 

2,525.7 



296.214 
296.930 

27,271 
27,957 

8,370 

8,435 

333,322 

2,902.0 



99.230 
107.668 

15.758 
21.469 

6.518 

9.792 

138,929 

2,535.7 



See footnotes at end of table. 



54 



able 4. — Index of Crime, State, 1983 — Continued 



Population 



Crime 
Index 
total 



Modified 
Crime 
Index 
total' 



Properiy 
cnme^ 



Murder and 
non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



IOWA 

etropolitan Statistical 

Area 

Area actually reporting,, 
her Cities 

Area actually reporting., 
iral 

Area actually reporting., 
ate Total 

Rate per 100,000 
inhabitants 



KANSAS 
etropolitan Statistical 
\rea 

Area actually reporting., 
her Cities 

Area actually reporting.. 

Estimated Totals 

ral 

Area actually reporting.. 
itte Total 

Rate per 100.000 
inhabitants 



KENTUCKY 

tropolitan Statistical 

Vrea 

Area actually reporting.. 

Estimated Totals 

ler Cities 

Area actually reporting , 

Estimated Totals 

ral 

Area actually reporting.. 

Estimated Totals 

ite Total 

Rate per 100,000 
inhabitants 



LOUISIANA 

tropolitan Statistical 

Vrea 

Area actually reporting.. 

Estimated Totals 

ler Cities 

Area actually reporting.. 

Estimated Totals 

ral 



Area actually reporting.. 

Estimated Totals 

ite Total 

Rate per 100,000 
inhabitants 



MAINE 

tropolitan Statistical 

Uea 

Area actually reporting., 
ler Cities 

Area actually reporting, 
ral 

Area actually reporting 
ite Total 

Rate per 100,000 
inhabitants 



1,219,465 
100.0% 
701,235 
100.0% 
984,299 
100.0% 
2,905,000 



1,197,701 
100.0% 
626,922 
99.6% 
100.0% 
600,377 
100.0% 
2,425,000 



1.700,890 

94.7% 

100.0% 

597,449 

94.6% 

100.0% 

1.415,661 

61.5% 

100.0% 

3,714,000 



2.952,527 

94.3% 

100.0% 

522,439 

70.8% 

100.0% 

963,034 

73.1% 

100.0% 

4,438,000 



422,815 
100.0% 
394,429 
100.0% 
328,756 
100.0% 
1,146,000 



70,733 

30,450 

12,666 
113,849 

3,919.1 



72,776 



28,058 
28,173 



109,847 

4,529.8 



76,797 
80,340 

19,094 
20,193 

16,630 

27,036 

127,569 

3,434.8 



175,499 
183,490 

15,801 
22,313 

12,637 

17,277 

223,080 

5,026.6 



21,263 

14,166 

6,757 
42,186 

3,681.2 



3,750 
1,224 



288 
5,262 



181.1 



5,723 

1,613 
1,619 

577 
7,919 

326.5 



5,094 
5,335 

1,443 
1,526 

2,526 

4,106 

11,967 

322.2 



22,412 
23,258 

1,810 
2,555 

1.924 

2,631 

28,444 

640.9 



916 

548 

355 
1,829 

159.6 



65,983 

29,226 

12,378 
108,587 

3,737.9 



67,053 

26,445 
26,554 

8,321 
101,928 

4,203.2 



70.703 
74,005 

17,651 
18,657 

14,104 

22,930 

115,602 

3,112.6 



153.087 
160,232 

13.991 
19.758 

10.713 

14.646 

194,636 

4.385.7 



20.347 

13,618 

6,392 
40,357 

3,521.6 



2.3 



100 



18 
137 



5.5 



107 
111 

20 
21 

143 
232 
364 

9.8 



439 
452 

35 
49 

94 
128 
629 

14.2 



2.1 



267 
73 



25 
365 



12.6 



465 



121 
121 



41 
627 



25.9 



442 
463 

86 
91 

152 
253 
817 

22.0 



1,414 
1,468 

51 

72 

168 

230 

1,770 

39.9 



67 
193 



1,008 

147 

37 
1,192 

41.0 



1,595 



292 
293 



49 
2,038 



84.0 



2,473 
2,535 

238 
252 

276 

449 

3,236 

87.1 



7,591 

7,857 

248 
350 

155 

226 

8,433 

1900 



193 
99 



19 
311 



27.1 



2,433 

994 

210 
3,637 

125.2 



3,462 



1,181 
1,185 



469 
5,117 



211.0 



3,072 
3,226 

1,099 
1,162 

1.945 
3,162 
7,550 

203.3 



12,868 
13,481 

1,475 
2,084 

1,497 

2,047 

17,612 

.396.8 



551 
386 



264 
1,301 



113.5 



16,996 

5,770 

3,833 
26,599 

915.6 



18,524 

6,488 
6,515 

3,179 
28,318 

1,167.8 



20,754 
21,612 

4,184 
4,425 

6,304 
10,249 
36,286 

977.0 



44,726 
46,654 

3,895 
5,500 

3,800 

5,195 

57,359 

1.292.5 



5,386 

3,115 

2,914 
11,415 

996.1 



47,274 

22,197 

7.931 
77,402 

2,664.4 



44,816 

19,114 
19,193 

4,726 
68,735 

2,834.4 



45,643 
47,901 

12,458 
13,175 

6,302 
10,246 
71,322 

1,920.4 



96,499 
101,205 

9,672 
13,659 

6,311 

8,628 

123,492 

2,782.6 



14,022 

9,907 

3,093 
27,022 

2,357.9 



2.713 
1,259 



614 
4,586 



157.9 



3,613 

843 
846 

416 
4,875 

201.0 



4,306 
4,492 

1,009 
1,067 

1,498 
2,435 
7,994 

215.2 



1 1,862 
12,363 

424 
599 

602 

823 

13,785 

3106 



939 

596 

385 
1,920 

167.5 



See footnotes at end of table. 



55 



Table 4. — Index of Crime, Stole, 1983 — Continued 



Population 



Crime 
Index 
loul 



Modined 
Cnmc 
Index 
total' 



Property 
cnme' 



Murder and 

non- 

negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



MARYLAND 

Metropolitan Statistical 
Area 

Area actually reporting . 
Other Cities 

Area actually reporting 
Rural 

Area actually reporting. 
Stau Total 

Rate per 100,000 
inhabitants 



MASSACHUSETTS 

Metropolitan Statistical 
Area 

Area actually reporting 

Estimated Totals 

Other Cities 

Area actually reporting.. 

Estimated Totals 

Rural 

Area actually reporting.. 
Sute Total 

Rate per 100,000 
inhabitants 



MICHIGAN 

Metropolitan Statistical 
Area 

Area actually reporting.. 

Estimated Totals 

Other Cities 

Area actually reporting.. 

Estimated Totals 

Rural 

Area actually reporting 
State Total 

Rate per 100,000 
inhabitants 



MINNESOTA 

Metropolitan Statistical 
Area 

Area actually reporting.. 
Other Cities 

Area actually reporting.. 
Rural 

Area actually reporting 
Sute Total 

Rate per 100,000 
inhabitants 



MISSISSIPPI 

Metropolitan Statistical 
Area 

Area actually reporting.. 

Estimated Totals 

Other Cities 

Area actually reporting.. 

Estimated Totals 

Rural 

Area actually reporting.. 

Estimated Totals 

Sute Total 

Rate per 100,000 
inhabitants 



3,999.618 
100.0% 
77,800 
100.0% 
226,582 
100.0% 
4,304.000 



5.218,217 

90.7% 

100.0% 

541,663 

88.7% 

100.0% 

7.120 

100.0% 

5,767,000 



7.327.439 

98.8% 

100.0% 

663.003 

96.0% 

100.0% 

1.078.558 

100.0% 

9,069,000 



2,664,354 
100.0% 
525,156 
100.0% 
954.490 
100,0% 

4,144,000 



742.873 
70.4% 

100.0% 

693.193 
82.1% 

100.0% 

1,150,934 

48.4% 

100.0% 
2,587,000 



219.088 
6.432 



5.044 
230,564 



5,357.0 



249.920 
267.502 

18.893 
21.294 

175 
288,971 

5,010.8 



519,300 
524.607 

27.977 
29,138 

33,598 
587,443 

6.477.5 



130,052 

20.722 

16.403 
167,177 

4.034.2 



31.381 
38.313 

26.722 
32.531 

5,881 
12.151 
82,995 

3.208.2 



33.617 
414 



705 
34,736 



807.1 



30,172 
31,596 

1.456 
1,641 

27 
33,264 

576.8 



60,966 
61,408 

1. 170 
1.219 

2.366 
64,993 

716.7 



190.9 



2,328 
2,850 

2,409 
2,933 

712 
1.472 
7,255 

280.4 



185.471 

6,018 

4.339 
195,828 

4,549.9 



219,748 
235,906 



17.437 
19.553 



148 
255,707 



4.434.0 



458.334 
463,199 

26,807 
27,919 

31,332 
522,450 

5.760.8 



7.001 


123,051 


404 


20.318 


504 


15.899 


7,909 


159,268 



3,843.3 



29,053 
35,463 

24,313 
29.598 

5.169 
10.679 
75,740 

2.927.7 



351 

4 



12 
367 



8.5 



185 
189 



203 



3.5 



883 



19 
910 



10.0 



1.7 



57 
71 

93 
113 

51 
105 
290 

112 



1.334 

35 

43 
1,412 

32.8 



1.265 
1.334 

143 
161 



1,495 

25.9 



4.405 
4.436 

122 

127 

522 
5,085 

56.1 



807 
51 



69 
927 



22.4 



220 
250 

168 
205 

78 
161 
616 

23.8 



14.808 

82 

60 
14,950 

347.4 



11,520 
11.843 

156 
175 

4 
12,023 

208 5 



25.361 
25.484 

133 
139 

250 
25,873 

285.3 



3.163 

87 

48 
3,298 

79.5 



851 
965 

410 
499 

90 

186 

1,650 

53.8 



17.124 
293 



590 
18,007 



418.4 



17,202 
18.230 

1.145 
1,290 

23 
19,543 

338.9 



30.320 
30,605 



907 
945 



1,575 
33,125 



365.3 



2,982 

261 

372 
3,615 

87.2 



1.200 
1.554 

1.738 
2,115 

493 
1,019 
4.699 

181.6 



49.744 
1.495 



1,458 
52,697 



1,2244 



61.221 
65.761 

5,742 
6,472 

58 
72.291 

1.253.5 



134,664 
135.850 

5,279 
5,498 

12.090 
153,438 

1.691.9 



35.516 

3,638 

5.417 
44,571 

1.075.6 



9.538 
12,065 

7,435 
9.051 

2.596 

5,363 

26,479 

1,023.5 



120.453 

4.295 

2,595 
127,443 

2.951.0 



113.240 
122.024 



10.464 
11.794 



65 
133,883 



2.321.5 



259.237 
252.357 

20,757 
21.618 

18.133 
302.118 

3,331.3 



80.51 1 
15.849 



9.574 
106.034 



2.558.7 



17.972 
21.472 

15.984 
19.459 

2.252 

4.653 

45,584 

1,762.0 



See footnotes at end of table. 



56 



Fable 4. — Index of Crime, State, 1983 — Continued 



Population 



Crime 
Index 
total 



Modified 
Crime 
Index 
total' 



Properly 
cnme^ 



Murder and 

non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



MISSOURI 

vletropolitan Statistical 
Area 

Area acttially reporting.. 

Estimated Totals 

;)ther Cities 

Area acttially reporting.. 

Estimated Totals 



liual . 



Area actually reporting. 

Estimated Totals 

itate Total 

Rate per 100,000 

inhabitants 



MONTANA 

ietropolitan Statistical 
Area 

Area actually reporting.. 

Estimated Totals 

Hher Cities 

Area actually reporting.. 

Estimated Totals 



.ural 



Area actually reporting. 

Estimated Totals 

tate Total 

Rate per 100,000 
inhabitants 



NEBRASKA 

letropoHtan Statistical 
Area 

Area actually reporting. 
Iher Cities 

Area actually reporting. 

Estimated Totals 



ural 



Area actually reporting.. 

Estimated Totals..... 

tate Total 

Rate per 100,000 
inhabitants 



NEVADA 

letropolitan Statistical 

Area 

Area actually reporting.. 

ither Cities 

Area actually reporting.. 
Estimated Totals 



lural . 



Area actually reporting.. 

Estimated Totals 

tate Total 

Rate per 100,000 
inhabitants 



3,259,145 

94.3% 

100.0% 

468,501 

90.3% 

100.0% 

1,242,354 

65.5% 

100.0% 

4,970,000 



186,846 
192,069 

17,706 
19,608 

8,815 

13,459 

225,136 

4,529.9 



197,166 




87.2% 


11,872 


100.0% 


12,792 


200,006 




85.5% 


11,615 


100.0% 


13,588 


419.828 




92.1% 


10,648 


100.0% 


11,565 


817,000 


37,945 



4,644.4 



719,717 




100.0% 


39,411 


386,670 




95.2% 


14,641 


100.0% 


15,387 


490,613 




87.7% 


4,991 


100.0% 


5,691 


1,597,000 


60,489 



3,787.7 



730,444 




100.0% 


53,912 


27,109 




58.7% 


752 


100.0% 


1,282 


133,447 




66.4% 


2,997 


100.0% 


4,515 


891,000 


59,709 




6.701.3 



20,963 
21,279 

1,317 
1,459 

642 

980 

23,718 

477.2 



261 

293 

515 
602 

776 

842 

1,737 

212.6 



3,002 

310 
326 

131 

149 

3,477 

217.7 



5,315 

61 
104 

278 

419 

5,838 

655.2 



165,883 
170,790 

16,389 
18,149 

8,173 

12,479 

201,418 

4,052.7 



11,611 
12,499 

11.100 
12,986 

9,872 
10,723 
36,208 

4.431.8 



36,409 

14,331 
15,061 

4,860 

5.542 

57,012 

3,569.9 



48,597 

691 
1,178 

2,719 

4,096 

53,871 

6,046.1 



331 
337 

17 
19 

31 

47 

403 

8.1 



6 

7 

6 

7 

15 
16 
30 

3.7 



2.6 



102 



12 
114 



12.8 



1,133 
1,158 

79 



55 

84 

1,330 

26.8 



36 
39 

42 
49 

68 

74 

162 



271 

40 
42 

23 

26 

339 

21.2 



433 

2 
3 

14 

21 

457 

51.3 



8,040 
8,108 

139 
154 

55 

84 

8,346 

167.9 



82 
84 

47 
55 

49 

53 

192 

23.5 



724 

53 
56 

14 

16 

796 

49.8 



2.619 

10 
17 

67 

101 

2,737 

307.2 



11,459 
11,676 

1.082 
1.198 

501 

765 

13,639 

274.4 



137 
163 

420 
491 

644 

699 

1,353 

165.6 



1.970 

214 
225 

92 

105 

2,300 

144.0 



2,161 

49 
84 

189 

285 

2,530 

284.0 



48.763 
50.254 

4.107 
4.548 

3.729 

5,694 

60,4% 

1.217.2 



2.771 
2,988 

1,700 
1,989 

2,249 
2,443 
7,420 

908.2 



8,294 

2,491 
2,618 

1,312 

1.496 

12,408 

777.0 



16.403 

148 
252 

841 

1.267 

17,922 

2.011.4 



103.019 
106,038 

11.628 
12.877 

4.077 

6.225 

125,140 

2,517.9 



8,294 
8.907 

8.920 
10.435 

6.975 

7.576 

26,918 

3.294.7 



26.269 

11.385 
11.965 

3,325 

3,792 

42,026 

2,631.6 



28,291 

505 
861 

1,724 

2.597 

31,749 

3.563.3 



14.101 
14.498 

654 

724 

367 

560 

15,782 

317.5 



546 
604 

480 
562 

648 

704 

1,870 

228.9 



1.846 

455 
478 

223 

254 

2,578 

161.4 



3.903 

38 
65 

154 

232 

4,200 

471.4 



See footnotes at end of table. 



57 



Table 4. — Index of Crime, State, 1983 — Continued 



NEW HAMPSHIRE 
Metropolitan Statistical 

Area 

Area actually reporting . 

Other Cities 

Area actually reporting-.. 

Rural 

Area actually reporting... 

Sute Total 

Rate per 100,000 
inhabitants 



NEW JERSEY 

Metropolitan Statistical 

Area 

Area actually reporting.. 

Other Cities 

Rural 

Sute Total 

Rate per 100,000 
inhabitants 



NEW MEXICO 

Metropolitan Statistical 
Area 

Area actually reporting.. 

Estimated Totals 

Other Cities 

Area actually reporting.. 

Estimated Totals 

Rural 

Area actually reporting.. 

Estimated Totals 

Sute Total 

Rate per 100,000 
inhabitants 



NEW YORK 
Metropolitan Statistical 

Area 

Area actually reporting 

Estimated Totals 

Other Cities 

Area actually reporting.. 

Estimated Totals 

Rural 

Area actually reporting . . 

SUte Total 

Rate per 100,000 
inhabitants 



Population 



503.041 
100.0% 
290.052 
100.0% 
165,907 
100.0% 
959,000 



7,468.000 

100.0% 

NONE 

NONE 

7,468,000 



551.672 

90.4% 

100.0% 

526.586 

84.9% 

100.0% 

320,742 

50.8% 

100,0% 

1,399,000 



Crime 
Index 
total 



20,214 

10,978 

995 
32,187 

3,356.3 

385,600 

385,600 
5,163.4 



37,979 
4C,092 

31,562 
37,173 

5,850 
11,518 
88,783 

6,346.2 



15,968,634 




99.3% 


986,553 


100.0% 


990,633 


822,779 




95.3% 


28,738 


100.0% 


30,142 


875,587 




100.0% 


22,036 


17,667,000 


1,042,811 



5,902.6 



Modified 
Cnme 
Index 
total' 



617 

488 

95 
1,200 

125.1 

41.304 

41,304 

553.1 



3,682 
3,949 

3,254 
3.832 

928 
1.827 
9,608 

686.8 



158,205 
158,472 

1,446 
1,517 

1,500 
161,489 



9141 



Property 
crime* 



19,597 

10,490 

900 
30,987 

3,231.2 



344,296 

344,296 

4,610.3 



34,297 
36,143 

28,308 
33,341 

4,922 

9,691 

79,175 

5,659,4 



828,348 
832,161 

27,292 
28,625 

20,536 
881,322 



Murder and 

non- 

negligent 

man- 
slaughter 



II 

7 

1 
19 

2.0 

399 

399 

5.3 



34 
38 

30 
35 

26 

51 

124 



1,920 
1.923 

14 
15 

20 
1,958 



Forcible 
rape 



92 

71 

24 
187 

19.5 

2,266 

2,266 

30.3 



276 
297 

174 
205 

86 
169 
671 

48.0 



5,104 
5,114 



91 
5,2% 



30.0 



Robbery 



170 
42 



19 
231 



24.1 



20.086 

20,086 

269,0 



1.038 
1.081 

336 
396 

60 

118 

1,595 

114,0 



94.349 
94.448 

226 

237 

98 
94,783 

536.5 



Aggra- 
vated 
assault 



344 
368 



51 
763 



79,6 



18.553 

18,553 

248.4 



2.334 
2.533 

2.714 
3.196 

756 
1.489 
7,218 

515.9 



56,832 
56,987 

1,119 
1,174 

1,291 
59,452 

336.5 



Burgiar>' 



4,922 

2,488 

472 
7,882 

821,9 



92,391 

92,391 

1.237,2 



9,913 
10,669 

6,817 
8,029 

1,582 

3,115 

21,813 

1.559,2 



233.102 
234,054 

6,000 
6,293 

8,768 
249,115 

1,410,1 



Larccny- 
Ihcft 



13,471 

7,500 

388 
21,359 

2.227,2 



206,778 

206,778 

2,768.9 



22,506 
23,472 

20,198 
23,789 

2,954 

5.816 

53,077 

3.793.9 



469,330 
471,879 

20,293 
21,284 

11.183 
504,346 

2,854.7 



Motor 
vehicle 
theft 



1.204 

502 

40 
1,746 

182.1 

45,127 

45,127 
604.3 



1,878 
2,002 

1,293 
1,523 

386 

760 

4,285 

306.3 



125,916 
126,228 

999 
1,048 

585 
127,861 

723.7 



Sec footnotes at end of table. 



58 



Fable 4. — Index of Crime, State, 1983 — Continued 



Population 



Cnme 
Index 
total 



Modified 
Crime 
Index 
total' 



Properly 
crime' 



Murder and 
non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
Ihefl 



NORTH CAROLINA 

Metropolitan Statistical 
Area 

Area actually reporting... 

Estimated Totals 

)ther Cities 

Area actually reporting, , 

Estimated Totals 



lural . 



Area actually reporting. 

Estimated Totals 

itate Total 

Rate per 100,000 
inhabitants 



NORTH DAKOTA 

Metropolitan Statistical 
Area 

Area actually reporting.. 
Hher Cities 

Area actually reporting.. 

Estimated Totals 



.ural 



Area actually reporting. 

Estimated Totals 

[(tate Total 

Rate per 100,000 
inhabitants 



OHIO 

letropolitan Statistical 
Area 

Area actually reporting.. 

Estimated Totals 

Iher Cities 

Area actually reporting 

Estimated Totals 



ural . 



Area actually reporting 

Estimated Totals 

tate Total 

Rate per 100,000 
inhabitants 



OKLAHOMA 

letropolitan Statistical 
Area 

Area actually reporting.. 

Estimated Totals 

tther Cities 

Area actually reporting.. 

Estimated Totals 

^ural 

Area actually reporting.. 
itate Total 

Rate per 100,000 
inhabitants 



3,331,752 

98.9% 

100.0% 

872,074 

94.7% 

100.0% 

1,878,174 

96.7% 

100.0% 

6.082,000 



244,170 
100.0% 
140,520 

99.0% 
100.0% 
295.310 

98.7% 
100.0% 
680,000 



8.471,845 

94.0% 

100.0% 

858,972 

83.8% 

100.0% 

1,415,183 

92.2% 

100.0% 

10,746,000 



1,876,807 

99.9% 

100.0% 

763,247 

98.9% 

100.0% 

657,946 

100.0% 

3,298,000 



167,731 
169,477 

49,126 
51,888 

31,978 

33.086 

254,451 

4,183.7 



8.634 

5.908 
5,968 

3,545 

3,591 

18,193 

2,675.4 



405,380 
421,541 

33,751 
40,274 

20,567 

22,306 

484,121 

4,505.1 



114,892 
1 14,986 

34,553 
34,937 

12,640 
162,563 

4,929.1 



16,643 
16,821 

4.549 
4,805 

3,175 

3,285 

24,911 

409,6 



186 

72 
72 

106 
107 
365 

53.7 



38,187 
39,260 

1,891 

2,257 

1.145 

1,242 

42,759 

397.9 



10,674 
10,679 

2,480 
2,508 

777 
13,964 

423.4 



151,088 
152,656 

44,577 
47,083 

28,803 

29,801 

229,540 

3,774.1 



8,448 

5,836 
5,896 

3,439 

3,484 

17,828 

2,621.8 



367,193 
382.281 

31,860 
38,017 

19,422 

21,064 

441,362 

4,107.2 



104,218 
104.307 

32.073 
32.429 

11.863 
148,599 

4,505.7 



253 
255 



93 

137 
142 
490 

8.1 



14 

2.1 



552 
562 

13 
16 

20 

22 

600 

5.6 



160 
160 



40 
249 



7.6 



950 
956 

180 
190 

180 

186 

1,332 

21.9 



3,010 
3,092 

138 
165 

120 

130 

3,387 

31.5 



1,031 
1.031 



137 
139 



77 
1,247 



37.8 



3,772 
3,802 

712 

752 

276 

286 

4,840 

79.6 



32 



16,236 
16,496 

405 
483 

141 

153 

17,132 

159.4 



3,668 
3,669 



457 
462 



114 
4,245 



128.7 



11,668 
11,1 

3,569 
3,770 

2,582 

2,671 

18,249 

300.0 



103 

43 
43 

66 

67 

213 



31.3 



18,389 
19,110 

1,335 
1,593 

864 

937 

21,640 

201.4 



5.815 
5.819 

1,838 
1,858 

546 
8,223 

249.3 



45,848 
46,302 

12,382 
13,078 

12,534 
12.968 
72,348 

1.189.5 



1,363 

752 
760 

833 

844 

2,967 

436.3 



104,362 
108,284 

7,300 
8,711 

6,624 

7,184 

124,179 

1,155.6 



35,140 
35,166 



9,421 
9.525 



5,091 
49,782 



1,509.5 



98,281 
99,328 

30,667 
32,391 

14,835 

15,349 

147,068 

2,418.1 



6,664 

4,828 
4,877 

2.411 

2.442 

13,983 

2,056.3 



229,087 
239,168 

23,481 
28,018 

11,959 

12,970 

280,156 

2,607.1 



57,592 
57,648 

20,529 
20,757 

5.680 
84,085 

2,549.6 



6,959 
7,026 

1,528 
1,614 

1,434 

1,484 

10,124 

166.5 



421 

256 
259 

195 
198 
878 

129.1 



33,744 
34,829 

1,079 
1,288 

839 

910 

37,027 

344.6 



11.486 
11.493 

2.123 
2,147 

1,092 
14,732 

446.7 



See footnotes at end of table. 



59 



Table 4. — Index of Crime, State, 1983 — Continued 



Population 



Cnmc 
Index 
Iota] 



Modincd 
Cnme 
Index 
total' 



Property 
cnme' 



Murder and 
non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



OREGON 

Mctropolilan Statistical 
Area 

Area actually reporting.. 

Esliinated Totals 

Other Cities 

Area actually repotting 

Estimated Totals 

Rural 

Area actually reporting.. 
SUfe Total 

Rate per 100,000 
inhabitants 



PEMNSYLVANIA 

Metropolitan Statistical 
Area 

Area actually reporting 

Estimated Totals 

Other Cities 

Area actually reporting. 

Estimated Totals 

Rural 

Area actually reporting. 
State Total 

Rate per 100,000 
inhabitants 



PUERTO RICO 

Metropolitan Statistical 

Area 

Area actually reporting.. 

Other Agencies 

Area actually reporting.. 

Total 

Rate per 100.000 
inhabitants 



RHODE ISLAND 

Metropolitan Statistical 

Area 

Area actually reporting 

Other Cities 

Area actually reporting 

Rural 

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.. 
Stale Total 

Rate per 100,000 
inhabitants 



1,783,413 

998% 

100.0% 

410,524 

98.8% 

100.0% 

468,063 

100 0% 

2,562,000 



10,110,694 

99.5% 

100.0% 

796,131 

98.5% 

100.0% 

988,175 

100.0% 

11,895,000 



1,641.071 
100.0% 

1,564,169 

100.0% 

3,205,240 



893,639 
lOO.I 
61,361 
100.1 

955.000 



1,939,935 

99.8% 

100.0% 

416,134 

99.1% 

100.0% 

907,931 

100,0% 

3,264,000 



128,106 
128,282 



24.577 
24,864 



13.252 
166,398 



6,2509 



343,555 
344,808 

19.897 
20,200 

15,095 
380,103 

3,195.5 



62,542 

29,710 
92,252 

2,878.2 



43.559 

4.207 

36 

47,802 

5.005,4 



105.928 
106.143 



25.507 
25,742 



23.838 
155,723 



4,770.9 



11,047 
11,054 



1,090 
1,102 



830 
12,986 



487.8 



38,854 
38,938 

1,131 
1,148 

696 
40,782 

342.8 



10.851 



4,708 
15,559 



485.4 



3,19! 

191 
10 
3,39 

355.2 



13.295 
13.319 



3,298 
3,328 



3,486 
20,133 



616.8 



117,059 
117,228 

23,487 
23,762 

12,422 
153.412 

5.7630 



304.701 
305.870 

18.766 
19.052 

14.399 
339.321 

2.852.6 



51.691 



25.002 
76,693 



2.392 7 



40.368 

4.016 

26 

44,410 

4.650,3 



92.633 
92.824 

22.209 
22.414 

20.352 
135,590 

4.154.1 



14 
109 



4,1 



554 
554 



19 
583 



49 



293 



128 
421 



13.1 



2 

1 

26 

2,7 



189 



85 
321 



9.8 



823 
824 

104 
105 

149 
1,078 

40.5 



2.262 
2.267 



89 

93 
2,449 

20.6 



273 



180 
453 



14,1 



140 



17 

3 

160 



768 
769 



135 
13b 



239 
1,144 



35.0 



4.243 
4.245 

211 
213 

75 
4,533 

1703 



20.197 
20.222 



144 
146 



133 
20,501 



172.3 



6.582 

1.323 
7.905 

246.6 



I.OIl 

65 

2 

1,078 

112.9 



2.690 
2,696 



406 
410 



319 
3,425 



104.9 



5.902 
5.906 

759 
768 

592 
7,266 

273.0 



15.841 
15.895 

889 
903 

451 
17,249 

145.0 



3.703 

3.077 
6,780 

211.5 



2.017 

107 

4 

2,128 

222.8 



9.648 
9.665 



2,710 
2,735 



2,843 
15,243 



467.0 



36,594 
36,639 

5,401 
5,464 

4,369 
46,472 

1,745.8 



84,892 
85,172 



4,004 
4.065 



7.188 
96,425 



810.6 



19.964 



12.563 
32,527 



1.014,8 



11.935 

783 

4 

12,722 

1.332.1 



27.437 
27.488 

6.675 
6.737 

8.038 
42,263 

1.294.8 



74,088 
74,204 

17,100 
17,300 

7.376 
98,880 

3.714.5 



184.117 
184.906 

13.S 
14.100 

6.402 
205,408 

1.726.8 



20,748 



9,981 
.30,729 



958.7 



22,568 

2,879 

16 

25,463 

2,666.3 



59,598 
59,728 

14,539 
14,673 

11,100 
85,501 

2,619.5 



Sec footnotes at end of table. 



60 



Table 4. — Index of Crime, State, 1983 — Continued 



Population 



Crime 
Index 

total 



Modified 
Crime 
Index 
total' 



Propeny 
cnme^ 



Murder and 

non- 

negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
Iheft 



SOUTH DAKOTA 

Metropolitan Statistical 

Area 

Area actually reporting.. 

Other Cities 

Area actually reporting.. 
Estimated Totals 



Rural . 



Area actually reporting 

Estimated Totals 

State Total 

Rate per 100,000 

inhabitants 



TENNESSEE 

Metropolitan Statistical 
Area 

Area actually reporting.. 

Estimated Totals 

Other Cities 

Area actually reporting.. 

Estimated Totals 



[Rural . 



Area actually reporting.. 

Estimated Totals 

•State Total 

Rate per 100.000 

inhabitants 



TEXAS 

Vletropolitan Statistical 
Area 

Area actually reporting.. 
Dther Cities 

Area actually reporting.. 
Rural 

Area actually reporting . 
State Total 

Rate per 100,000 
inhabitants 



UTAH 

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 



111,956 




100.0% 


4,042 


220,894 




89.5% 


8,888 


100.0% 


9,929 


367,150 




58.6% 


2,261 


100.0% 


3,862 


700,000 


17,833 



3,032, 14u 

94.8% 

100.0% 

588,695 

89.3% 

100.0% 

1,064,159 

75.6% 

100.0% 

4,685,000 



12,543,183 

100.0% 

1,429,031 

100.0% 

1,751,786 

100.0% 

15,724,000 



1,250,354 
98.9% 
100.0% 
192,300 
97.0% 
100.0% 
176,346 
100.0% 
1,619,000 



2,547.6 



148,535 
152,282 

19,147 
21,433 

10,766 

14,231 

187,946 

4,011.7 



842,490 

57,636 

28,732 
928,858 

5,907.3 



70,897 
71,597 



7.344 
7.570 



3,692 
82,859 



5,117.9 



176 

381 
425 

140 
239 
840 

120.0 



15,614 
15,867 

1,533 
1,715 

949 

1,254 

18,836 

402.0 



73,092 

5,246 

2,208 
80,546 

512.2 



3,381 
3,407 

338 
349 

388 
4,144 

256.0 



3,866 

8,507 
9,504 

2,121 

3,623 

16,993 

2,427.6 



132,921 
136,415 

17,614 
19,718 

9,817 

12,977 

169,110 

3,609.6 



769,398 

52,390 

26,524 
848,312 

5,395.0 



67,516 
58,190 

7,006 
7,221 

3,304 
78,715 

4,862.0 



4 
4 

6 
10 
15 

2.1 



297 
303 

34 
38 

52 

69 

410 



1,958 

121 

160 
2,239 

14.2 



3.5 



27 

46 
51 

24 

41 

119 

17.0 



1,473 
1,498 

77 
86 

74 

98 

1,682 

35.9 



5,866 

270 

197 
6,333 

40.3 



338 
340 



34 
403 



24.9 



25 

62 
69 

10 

17 

111 

15.9 



7,496 
7,555 

330 
369 

129 

170 

8,094 

172.8 



28,919 

572 

278 
29,769 

189.3 



978 
983 



31 
1,041 



64.3 



123 

269 
301 

100 
171 
595 

85.0 



6,348 
6,511 

1.092 
1,222 

694 

917 

8,650 

184.6 



36,349 

4,283 

1,573 
42,205 

268.4 



2,021 
2,040 



279 
288 



316 
2,644 



163.3 



1,595 
1.782 

732 
1,250 
3,820 

545.7 



43,970 
45,231 

4,914 
5,501 

4,362 

5.766 

56,498 

1,205.9 



235,660 

14,811 

11,727 
262,198 

1,667.5 



14,260 
14,387 

1,250 
1,288 

771 
16,446 

1,015.8 



6,588 
7,360 

1,285 

2,195 

12,453 

1,779.0 



76,697 
78,644 

11.596 
12,981 

4,660 

6,160 

97,785 

2,087.2 



455,184 

35,235 

13,163 
503,582 

3,202.6 



49,988 
50,503 

5,423 
5,590 

2,360 
58,453 

3,610.4 



324 
362 

104 
178 
720 

102,9 



12,254 
12,540 

1,104 
1,236 

795 

1,051 

14,827 

316.5 



78.554 

2,344 

1,634 
82,532 

524.9 



3,268 
3,300 

333 
343 

173 
3,816 

235.7 



See footnotes at end of table. 



61 



Table 4. — Index of Crime, State, 1983 — Continued 



Population 



Cnmc 
Index 
total 



Modiried 
Cnmc 
Index 
total' 



Property 
cnmc' 



Murder and 
non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
a&sautt 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



VERMONT 

Metropolitan Statistical 
Area 

Area actually reporting.. 

Estimated Totals 

Other aties 

Area actually reporting.. 

Estimated Totals 

Rural 

Area actually reporting.. 

Estimated Totals 

State Total 

Rate per 100,000 
inhabitants 



VIRGINIA 

Metropohtan Statistical 
Area 

Area actually reporting.. 
Other Cities 

Area actually reporting.. 

Estimated Totals 

Rural 

Area actually reporting.. 
SUte Total 

Rate per 100,000 
inhabitants 



WASHINGTON 

Metropohtan Statistical 
Area 

Area actually reporting.. 

Estimated Totals 

Other Cities 

Area actually reporting.. 

Estimated Totals 

Rural 

Area actually reporting.. 
Sttte Total 

Rate per 100.000 
inhabitants 



123,426 

24.7% 

100.0% 

162,810 

15.5% 

100.0% 

238,764 

78.7% 

100.0% 

525,000 



3,889,758 

100,0% 

442.412 

99,9% 

100.0% 

1,217,830 

100.0% 

5,550,000 



3,458,607 

99,0% 

100,0% 

370,278 

94,2% 

100.0% 

471,115 

100.0% 

4,300,000 



2.177 
6.336 

1.303 
8.402 

5.478 

6,959 

21,697 

4,132.8 



184,410 

16,999 
17.016 

18,442 
219,868 

3.961,6 



217.335 
219.981 

26,002 
27,605 

13,757 
261,343 

6,077 7 



34 
99 

61 
393 

160 
204 
696 

132,6 



13,832 



931 
932 



1,472 
16,236 



292,5 



13,701 
13,818 

1,106 
1,173 

995 
15,986 

371.8 



2,143 
5,237 

1,242 
8,009 

5.318 

6.755 

21,001 

4.000.2 



170.578 



15,068 
16.084 



16.970 
203,632 



3.659.0 



203.634 
205,163 

24.896 
26,432 

12.752 
245,357 

5.706.0 



290 



75 
387 



70 



181 
181 



23 
212 



4.9 



9 
26 

15 

103 

67 

85 

214 

40.8 



1.154 

70 
70 

145 
1,370 

24,7 



1.692 
1.707 

105 
HI 

105 
1,923 

44,7 



12 
35 

13 
84 

21 

27 

14« 

27.8 



5.794 

182 
182 

155 
6,132 

110,5 



4.271 
4.296 



165 
175 



62 
4,533 



105,4 



12 
35 

30 
193 

70 

89 

317 

60,4 



5.594 

557 
558 

1.095 
8,347 

150,4 



7,557 
7,634 

828 
879 

805 
9,318 

2157 



455 
1,324 

215 
1,393 

2,367 
3,007 
5,724 

1.090,3 



42.132 



3.261 
3.264 



5.659 
51,055 



919,9 



59.835 
50.415 

5.380 
5.712 

4.399 
70,526 

1.540,1 



1.612 
4.592 

953 
6.210 

2.672 

3,394 

14J96 

2,723.0 



120,135 



12,133 
12,145 



10,434 
142.714 



2,5714 



134,511 
135,361 



18,705 
19,859 



7.733 
163,953 



3.812.9 



76 
221 

53 

406 

279 
354 
981 

185.9 



8,311 



574 
575 



877 
9,863 



177,7 



9.288 
9.387 



811 
851 



630 
10,878 



253.0 



See footnotes at end of table. 



62 



Table 4. — Index of Crime, State, 1983 — Continued 



Population 



Crime 

Index 
total 



Modified 
Crime 
Index 
total' 



Property 
crime' 



Murder and 
non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



WEST VIRGINIA 

Melropoiitan Statistical 

Area 

Area actually reporting.. 

Estimated Totals 

Dther Cities 

Area actually reporting.. 

Estimated Totals 

Rural 

Area actually reporting.. 
State Total 

Rate per 100,000 
inhabitants 



WISCONSIN 

Vletropolitan Statistical 
Area 

Area actually reporting. 

Estimated Totals 

yther Cities 

Area actually reporting.. 

Estimated Totals 



,lural . 



Area actually reporting.. 

Estimated Totals 

itate Total 

Rate per 100,000 
inhabitants 



WYOMING * 

tletropolitan Statistical 

Area 

Area actually reporting., 
)ther Cities 

Area actually reporting.. 

Estimated Totals 

lural 

Area actually reporting. 
Utate Total 

Rate per 100,000 
inhabitants 



716,720 




99.6% 


25,647 


100.0% 


25.739 


380,360 




96.2% 


10,477 


100.0% 


10,895 


867,920 




100.0% 


10,899 


965,000 


47,533 



3,183,313 
99.0% 
100.0% 
530,155 
97.0% 
100.0% 
1.037,532 
94.6% 
100.0% 
4,751,000 



78,500 
100.0% 
277,866 

98.8% 
100.0% 
157.634 
100.0% 
514,000 



2,419.0 



158,120 
159,516 

22,739 
23,433 

18,195 

19,239 

202,188 

4,255.7 



3,907 

12,984 
13,147 

3,577 
20,631 

4,013.8 



1,790 
1,792 

678 
705 

878 
3,375 

171.8 



7,713 
7,753 

646 
666 

615 

651 

9,070 

190.9 



209 

663 
671 

339 
1,219 

237.2 



23,857 
23,947 

9,799 
10,190 

10,021 
44,158 

2,247.2 



150,407 
151,763 

22,093 
22,767 

17,580 

18,588 

193,118 

4,064.8 



3,698 

12,321 
12,476 

3,238 
19,412 

3,776.7 



4.9 



95 
95 

11 
11 

24 

25 

131 

2.8 



5.8 



153 
153 



91 
263 



13.4 



711 
716 

59 
61 

79 

84 

861 

18.1 



36 
110 



21.4 



598 
598 



158 
164 



107 
869 



44.2 



3,262 
3,271 

92 
95 

46 

49 

3,415 

71.9 



30 



102 
103 



20 
153 



29.1 



1,013 
1,015 

488 
507 

625 
2,147 

109.3 



3,645 
3,671 

484 
499 

466 

493 

4,663 

98.1 



165 



487 
493 



268 
926 



180.2 



6,841 
6,857 

2,285 
2,376 

4,222 
13,455 

684.7 



31,372 
31,637 

3,576 
3,685 

6,297 

6.658 

41,980 

883.6 



1.939 
1.963 

774 
3,626 

705.4 



15.223 
15.292 

6,907 
7,183 

4,659 
27,134 

1,380.9 



1 10,894 
111,944 

17,866 
18,411 

10,478 

11,079 

141,434 

2,976.9 



2,658 

9,873 
9,998 

2,276 
14,932 

2,905.1 



1,793 
1,798 



607 
631 



1,140 
3,569 



181.6 



8.141 
8.182 

651 
671 

805 

851 

9,704 

204.3 



151 



509 
515 



188 
854 



166.1 



'Although arson data are included in the trend and clearance tables, sufficient data are not available to estimate totals for this offense. 
^Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 

^Property crimes are offenses of burglary, larceny-theft, and motor vehicle theft. Data are not included for the property crime of arson, 
includes offenses reported by the U.S. Park Police for the District of Columbia and the Zoological Police. 



63 



Table 5. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1983 

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



Cily by Stale 



Population 



Cnmc 
Index 
total 



Modified' 
Cnmc 
Index 
total 



Murder 
and non. 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
a&sault 



Burglary 



Larceny- 
then 



Motor 
vehicle 
theft 



ALABAMA 



Albert ville 

Alexander City . 

Andalusia 

Annislon 

Athens 



Auburn 

Bessemer , 

Birmingham . 

Cullman 

Decatur 



Dothan 

Enterprise . 

Eufaula 

Fairfield... 
Florence.... 



Gadsden 

Homewotxl.. 
Hueytown ... 
Hunts ville... 
Jasper 



Mobile 

Montgomery 

Mountain Brook.. 

Northport 

Opelika 



Ozark 

Phenix City . 

PrattviUe 

Pnchard 

Saraland 



Scoltsboro . 

Setma 

Sheffield 

Sylacauga.. 
Talladega .. 



Troy 

Tuscaloosa 

Tuskegee 

Vestavia Hills . 



ALASKA 



Anchorage . 
Fairbanks... 
Juneau 



ARIZONA 



Apache Junction . 

Casa Grande 

Chandler 

Douglas 

Flagstaff 



Glendale 

Kingman 

Lake Havasu.. 

Mesa 

Nogales 



Paradise Valley . 

Peoria 

Phoenix 

Prescott 



12,342 
14,093 
10,072 
30.280 
14,891 

29,269 
32.304 
289,357 
13,399 
42,888 

49,875 
18,020 
12,446 
13,305 
37,917 

48,726 
21,797 
13,581 
145,884 
12,098 

204,448 

181,326 

18,681 

14,694 

22,644 

13,042 
27,125 
18,844 
39.658 
10,036 

15,124 
26,905 
12,168 
13,011 
19,649 

12,918 
75,117 
12,972 
16,050 



208,297 
26,959 
23,322 



10,835 
12,900 
32,308 
14,346 
37,996 

101,273 
10,084 
17,377 

163,310 
15,241 

12.194 

13.502 

843.415 

21,912 



840 
688 
345 
3,433 
533 

1,483 

2,476 

26,817 

433 

2,283 

3,277 

560 

334 

1,148 

1,968 

3,187 

1,676 

328 

11,212 

629 

19,731 

9,856 

437 

619 

1,530 

814 
1,780 

867 
3,367 

511 

499 
3,192 
717 
575 
990 

710 
5,049 
1,033 

343 



14,232 

2,221 

597 



534 
1,499 
2,433 

896 
3,485 

4,655 

1,099 

677 

10,535 

984 

465 

1,003 

68,692 

1,200 



3,453 

537 

1,484 

2,487 

27,003 

434 

2,301 

3,297 
561 
337 

1,148 



3,211 

328 

11.277 

629 

19.821 

9.945 

438 

620 

1.549 

820 
1.786 

867 
3.405 

513 

503 
3,210 

575 



1,033 
343 



14,308 

2,240 

600 



535 
1,509 
2.457 

896 
3.501 

4,697 

1,110 

680 

10,643 

987 

465 

1,011 

69.194 

1.202 



18 
2 

1 

17 
253 



217 

28 

1 



39 



36 



3 

499 

3 



4 

9 

2 

109 

7 

16 

73 

1,253 

6 

16 

60 

9 

3 

42 

20 

61 

37 

5 

183 

9 

790 

224 

6 

4 

24 

10 

32 

13 

122 

2 

3 

54 
1 
5 

7 

9 
64 

15 
4 



373 
33 



65 

98 

8 

5 

150 

11 



1.971 
13 



49 
100 

39 
429 

22 

60 

159 

1.430 

1 



254 
107 
55 
51 
62 

217 
45 
11 

331 
24 

1,315 

231 

6 

115 

11 

145 

133 

79 

341 

6 

23 
603 
29 
38 
90 

99 

347 

131 

11 



542 

72 

2 



20 
103 
139 

25 
118 

222 
92 
17 

604 
32 

4 

53 

2,717 

48 



158 
148 
76 
869 
131 

363 

656 

7,127 

85 

466 

963 
171 
62 

214 
499 

731 
340 
104 
2,488 
133 

5,370 

2,407 

133 

130 

298 

131 
335 
250 
1,296 
106 

78 
760 
65 
89 
186 

171 

1,121 

457 

69 



2,889 

262 

95 



117 
228 
485 
199 
747 

1,232 
168 
183 

2.294 
397 

206 

274 

18,771 

262 



589 
411 
212 
1,873 
354 

999 

1,423 

13,779 

311 

1,687 

1,888 
241 
201 

733 
1,312 

1,985 
1,069 

192 
7,709 

378 

11,264 

6,489 

272 

349 

1,036 

500 
1,165 

493 
1,438 

366 

374 
1,691 
599 
420 
672 

399 

3,240 

390 

238 



8,762 

1,622 

475 



351 
1,106 
1.642 

592 
2.444 

2,733 
787 
435 

6,974 
498 

223 

634 

39,933 

816 



36 
16 
16 

131 
17 

44 
144 
2,905 
30 
99 

84 
25 
10 
107 
71 

169 

175 

13 

437 
81 

872 

436 

20 

20 

46 

23 
98 
26 
134 
30 

20 
57 
20 
20 
31 

25 

232 

33 

20 



1,433 

200 

24 



40 
35 
116 
80 
99 

324 

42 

34 

469 

45 

24 

30 

4,718 

57 



64 



Table 5. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1983 — Continued 



Cily by State 



Population 



Crime 
Index 
total 



Modifred* 
Cnme 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



ARIZONA — Continued 

Scottsdale 

Sierra Vista 

Tempe 

Tucson 

Yuma 

ARKANSAS 

Arkadelphia 

Benton 

BIytheville 

Camden 

Conway 

El Dorado 

Fayetteville 

Forrest City 

Fort Smith 

Hope 

Hot Springs 

Jacksonville 

Jonesboro ,— 

Little Rock 

Magnolia 

Malvern 

North Little Rock 

Paragould 

Pine Bluff 

Rogers 

Russellville 

Searcy 

Shenvood 

Spnngdale 

Stuttgart 

Texarkana 

Van Buren 

West Helena 

West Memphis 

CALIFORNIA 

Alameda 

Albany 

Alhambra 

Anaheim 

Antioch 

Arcadia 

Areata 

Arroyo Grande 

Artesia 

Atascadero 

Alwaler 

Azusa 

Bakersfield 

Baldwin Park 

Banning 

Barstow 

Bell 

Bell Gardens 

Belinower 

Belmont 



95.598 
27.171 
116.001 
361.739 
45.795 



10.221 
18.016 
24,794 
15,637 
20.665 

25.791 
36.860 
14.020 
72.891 
10,529 

36,499 
28,073 
32,023 
155,882 
12,165 

10,342 
65,630 
15,490 
57,904 
17,685 

14,377 
13,908 
10,675 
23.631 
11.211 

21,748 
12,227 
11,650 
28,740 



58,143 
16,153 
69,122 
233,705 
45,197 

49,159 
13,334 
12,039 
15,169 
17,969 

18,721 
29,216 
120,112 
54,062 
14,936 

18,816 
27,230 
36,448 
56,780 
26,123 



6,063 

878 

9,361 

34,963 

3,939 



289 

750 

2,148 

1,101 

750 

1,288 
1.554 
1.190 
4.659 
493 

2,380 

1,351 

1,374 

17,665 

118 

432 
4,510 

613 
3,387 

906 

758 
473 
314 
1,173 
412 

1,871 
669 

272 
1,792 



4.997 
701 
3.783 
15,592 
3,534 

2,674 
591 
515 
722 
690 

872 

2,209 

11,996 

2,506 

1,082 

1,245 
1,163 
2,156 
3,310 

725 



6,090 

880 

9.430 

35,154 

3,987 



291 

751 

2,160 

1,102 

760 

1,292 
1,554 
1,192 
4,585 
495 

2,380 
1,361 

1,375 

17,787 

118 

433 
4,623 

617 
3,411 

909 

758 
473 
314 
1,181 
412 

1,874 
671 

272 
1,792 



5,027 
705 
3,813 
15,648 
3,589 

2,683 
593 
618 
730 
700 



2,223 

12,070 

2,527 

1,092 

1,258 
1,158 
2,172 
3,337 
731 



22 

8 

47 

253 

28 



4 

162 

1 

1 
38 

5 
31 

9 

4 
1 
1 
12 
1 



25 
14 
12 
108 
18 

10 
3 
5 
4 
3 



103 

7 

129 

766 

56 



7 
20 
24 

9 

9 
12 
9 

78 
9 

69 

14 

15 

684 



4 

150 

1 



212 

51 

225 

439 

74 

116 

12 

10 

60 

6 

13 

104 

418 

149 

23 

30 
105 
105 
199 

10 



112 

21 

448 

1,731 

171 



19 

21 

310 

170 

15 

102 
II 
58 

187 
12 

116 

45 

7 

1,192 

9 

15 
287 

31 
127 

57 

30 
1 
1 

91 
6 

44 

7 



260 
48 
109 
500 
139 

178 
12 
23 
54 
35 

59 
113 
364 
244 
100 

137 
47 
242 
284 
15 



1,165 

128 

2,142 

9,568 

810 



72 
192 
576 
179 
120 

463 

456 

288 

1,029 

95 

788 

242 

266 

4,928 

53 

104 
973 
100 
895 
173 

216 
57 
53 

215 
92 

377 

232 

68 

135 



957 

288 

1,290 

4,451 

914 

571 
111 
121 
198 
248 

208 

731 

3,545 

1,243 

289 

271 
489 
918 
917 
201 



4,369 

672 

5,152 

20,954 

2,665 



192 
485 
1,169 
592 
568 

656 
991 

777 

3,061 

367 

1,267 
982 
985 

9,651 
36 

285 
2,894 

441 
2,136 

628 

468 
380 
237 
807 
296 

1,336 
385 
190 

1,424 



3,283 
256 
1,777 
8,663 
2,213 

1,543 
425 
431 
327 
350 

554 

1,083 

5,601 

571 

590 

721 
314 
693 
1,398 
441 



284 

42 

438 

1,655 

205 



6 
40 
57 
33 
45 

49 

74 

41 

258 



122 

58 

95 

1,017 



18 
263 

34 
100 

33 

33 
23 
18 
38 
9 

74 

33 

12 

105 



248 

43 

364 

1,410 

174 

255 
27 
26 
78 
37 

20 
153 
887 
274 

72 

81 
191 

178 

481 

53 



65 



Table 5. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1983 — Continued 



City by State 


Population 


Cnmc 
Index 
loul 


Modified* 
Cnmc 
Index 
lolal 


Murder 
and non- 
negligenl 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larccny- 
Ihefl 


Motor 
vehicle 
theft 


Arson* 


CALIFORNIA — Continued 

Benicia 

Berkeley 


16.126 
110.327 
34.532 
15.959 
29.842 

68,583 
89,624 
28,037 
15,559 
40,047 

28.447 
36.313 
11.555 
90.888 
14.157 

55.981 
28,274 
42,809 
89,682 
33.108 

14.826 
34,262 
21,246 
11,239 
84,789 

109.042 
40.508 
20.117 
86.790 
35,445 

19,377 
41,148 
32,901 
46,681 
82,174 

26,927 
39.180 
17.701 
10.525 
88.151 

17,922 
14.437 
79.151 
25.690 
24.271 

84.801 
14,716 
68.046 
25,830 
61,629 

10,203 
11,749 
36,964 
24,848 
58,701 

140,656 
230,418 
108.981 
48.121 
134,073 


811 

12.835 

3.249 

1.550 

1.593 

3,370 
4,248 
1,276 
1,812 
1,033 

2,597 
2.745 
413 
4.750 
1.396 

3,304 
2.321 
2,000 
5.590 
1,722 

824 
1.920 
2.154 
2,058 
8,399 

6.143 
3,153 
758 
6.018 
2.219 

720 
3,608 
1,985 
1,768 
2,746 

735 

2,189 

996 

422 
4,857 

988 

696 

4,925 

3,122 

1,908 

6,106 
1,109 
3,284 
2,493 
3.022 

179 
499 

2.961 
797 

2.420 

6.976 
25.553 
5.991 
3,303 
8.465 


814 

12.925 

3.266 

1.561 

1.604 

3,436 
4,288 
1,280 
1,817 
1,041 

2.606 
2.758 
417 
4.797 
1.406 

3.314 
2,340 
2,028 
5,606 
1.722 

833 
1,929 
2,167 
2,075 
8,494 

6.189 
3,185 
769 
6.028 
2.231 

726 
3.662 
2,027 
1.782 
2.763 

740 
2.198 
1,003 

423 
4,886 

997 

700 

4,968 

3,145 

1,912 

6,169 
1,122 
3,296 
2,510 
3,086 

181 
500 

2,983 
802 

2,428 

7.144 
25.700 
6.013 
3,333 
8,521 


11 

3 
1 
1 

2 
7 
1 
2 


7 
42 

6 
10 

5 

21 
18 
3 
6 
6 

14 
13 

35 
1 

10 

9 

9 

29 

11 

2 

17 
14 

7 
135 

36 
13 
13 
46 
15 

9 
18 
17 
11 
18 

2 
11 
14 

1 
15 

13 
6 
35 
14 
5 

56 
7 
25 
15 
17 


8 

603 

289 

36 

37 

164 

163 

24 

54 

16 

58 
51 
9 
265 
20 

102 
16 
66 

176 
50 

5 

18 

74 

73 

1,125 

105 
72 
23 
108 
106 

43 
314 
18 
48 
175 

13 
17 
31 
4 

244 

57 
18 
92 
45 
154 

352 
49 
57 
25 
76 

2 
14 
83 
17 
39 

72 
984 
160 
367 
326 


56 
415 

56 
116 

86 

80 
104 
21 
50 
26 

101 

107 

54 

391 

24 

132 
67 
87 

276 
24 

26 
52 
140 
125 
1,000 

231 
93 
29 
135 
135 

32 
69 
51 
53 
125 

5 
44 

110 
17 

119 

107 
19 

330 
84 
23 

374 
62 
155 
124 
105 

2 
40 
94 
16 
46 

463 
725 
198 
159 
418 


227 
2,896 
800 
483 
484 

936 
1.267 
297 
452 
311 

603 

915 

73 

1.409 

395 

781 
412 
779 
1.527 
498 

354 
515 
656 
342 
2,340 

1,292 
920 
147 

2,304 
616 

344 
676 
395 

472 
608 

200 
287 
208 
117 
1,409 

296 
207 
1,158 
884 
440 

2,103 
187 
734 
586 
594 

60 
154 

1,102 
169 

597 

1,859 
6,233 
1,564 
1,029 
2,327 


480 

8,191 

1,777 

843 

831 

1.562 
2.088 

804 
1.021 

618 

1,684 

1,521 
254 

1,881 
899 

1,784 
1.724 
967 
2.891 
1.020 

403 
1.238 
1,141 
1.204 
2,401 

4,124 
1.792 
444 
2.972 
1.148 

159 
1.962 
1.417 
1.046 
1.581 

499 

1.766 

560 

261 

2,380 

438 

412 

2,883 

1,945 

1,198 

2,528 
628 
2,078 
1,637 
2,137 

101 

274 
1,465 

568 
1,613 

4,168 
15.855 
3.459 
1.137 
4.727 


33 
677 
318 

61 
149 

505 
601 

126 

227 

56 

135 
136 
23 

755 
54 

493 

91 

91 

687 

119 

33 

80 

126 

303 

1.356 

352 
258 
102 
444 
198 

128 
566 
86 
138 
235 

16 
62 

73 

22 

687 

77 
34 
425 
147 
86 

682 
176 
232 
102 
87 

14 
15 

187 
26 
111 

384 

1.552 
572 
585 
596 


3 
90 


Beverly HiUs 


17 




11 


Brea 


11 




66 




40 




4 




5 




8 


Campbell 

Carlsbad 


2 

2 

14 
3 

2 
2 
1 
4 


9 

13 


Carpinteria 


4 




47 




10 




10 




19 




28 




16 






Clearlake 


1 

3 

4 

42 

3 
5 


9 


Clovis 


9 


Colton 


13 




17 




95 




46 




32 




11 




9 
1 

5 
3 

1 

4 
2 
3 

2 
3 
2 

11 

3 
4 
6 


10 




12 


Oidahy 

Culver City 


6 

54 




42 




14 




17 




5 




9 


Delano 


7 

1 




29 




9 




4 


El Cajon 


43 




23 




4 


E! Monte 

Escondido 


63 
13 

12 
17 


Fairfield 


64 




2 






2 
24 

1 
14 

29 
172 
36 
23 
60 


1 




6 

1 

32 

2 

3 

11 


22 




5 


Fountain Vallev 


8 




168 




147 




22 




30 


Garden Grove 


56 



66 



Table 5. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1983 — Continued 



City by State 



Population 



Clime 
Index 
total 



Modified* 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



CALIFORNIA — Continued 

Gilroy , 

Glendale 

Glendora 

Hanford 

Hawaiian Gardens 

Hawthorne 

Hayward 

Hemel 

Hermosa Beach 

Hillsborough 

Holhster 

Huntington Beach 

Huntington Park 

Indio 

Inglewood 

Irvine 

La Canada-Flintridge 

Lafayette 

Laguna Beach 

La Habra 

Lakewood 

La Mesa 

La Mirada 

Lancaster 

1 La Raima 

I La Puente 

La Venie 

Lawndale 

Livermore 

Lodi 

i Lomita 

I Lompoc 

: Long Beach 

Los Altos 

I Los Angeles 

I Los Banos 

Los Gatos 

Lynwood 

Madera 

Manhattan Beach 

Manteca 

Marina 

Martinez 

Marysville 

Maywood 

Menio Park 

Merced 

Millbrae 

Mill Valley 

Milpitas 

Modesto 

Monrovia 

Monlclair 

Montebello 

Monterey 

Monterey Park 

Moraga 

Morgan HtU 

Mountain View 

Napa 



22,809 
147,107 
37,910 
22,516 
11,160 

60,279 
100,880 
23,974 
19,219 
11,128 

12,227 
182,495 
49,297 
22,969 
100,678 

73,437 
21,577 
22,564 
19,121 
47,759 

79,629 
53,425 
39,926 
51,273 
16,714 

33,047 
25,080 
24,959 
51,462 
37,907 

17.875 

27,992 

381,798 

27,891 

3,158,688 

11,048 
28,171 
46,855 
23,186 
33,744 

26,751 
19,659 
23,912 
10,579 
23,320 

28,001 
38,964 
21,335 
13,671 
38,225 

112,760 
32,309 
24,131 
56,491 
29,432 

58,085 

14,702 
18,104 
62,510 
53,372 



1,632 
7,448 
1,384 
1,635 
767 

4,564 

7,105 

1,540 

874 

172 

1,016 

8,234 
3,495 
3,343 
8,892 

2,825 

539 

664 

1,085 

2,223 

3,509 
2,564 
1,434 
2,700 
395 

1,851 
902 
1,515 
2,497 
2,457 

851 

1,846 

30,334 

800 

307,511 

855 
1.530 
3,932 
1,114 
1,876 

1,605 

513 

1,269 

1,104 

674 

1,876 

3,624 

758 

654 

2,803 

8,703 
2,293 
2,367 
3,127 
2,335 

2,633 

248 

835 

3,337 

3,215 



1,656 
7,546 
1,393 
1,650 

777 

4.641 

7.140 

1,565 

878 

174 

1.026 
8,268 
3,508 
3,379 



2.844 

543 

667 

1.085 

2.243 

3.633 
2.570 
1.439 
2.734 
398 

1,871 
907 
1.526 
2.597 
2.470 

855 

1.853 

30.547 

802 

312,393 

857 
1,556 
3,996 
1,120 
1,881 

1,611 

517 

1,286 

1.107 

677 

1,888 

3,638 

769 

554 

2,915 

8,788 
2,305 
2,385 
3,147 
2,342 

2,544 

251 

848 

3,345 

3,250 



820 



9 

246 

2 

2,494 

2 
6 
54 
15 
11 



24 

256 

46 

18 

47 

403 

217 

18 

33 

1 

9 

157 

328 

132 

1,166 

43 
14 
14 
15 

67 

189 
84 
61 
49 
12 

84 
24 
114 
25 
31 

35 

19 

3.101 

10 

29.243 

18 

33 

453 

59 

50 

20 
14 
17 
33 
47 

59 
64 
14 
10 

78 

142 
128 
91 
156 

57 

178 

1 

9 

51 

19 



63 
210 
91 
59 
96 

252 

364 

49 

35 

II 

34 
227 
236 
164 
590 

39 
30 
7 
28 
56 

228 

73 

117 

266 

14 

229 
62 
185 
146 
138 

99 

75 

1,272 

24 

20,878 

34 
50 
605 
92 
63 

45 
26 
34 
70 
48 

68 
97 
24 
14 
104 

292 
95 
48 

135 
49 

83 

1 

35 

62 

278 



421 
2,121 
464 
387 
169 

999 

1,556 

345 

378 

42 

327 
2,341 
1,263 

996 
2,619 

885 
224 
206 
407 
542 

783 
720 
450 
841 
118 

609 
260 
473 
511 
479 

252 

476 

7.840 

271 

79.691 

215 
340 
1.094 
394 
461 

451 
184 
370 
231 
246 

456 
611 
125 
201 
620 

1,905 
585 
737 

1,000 
453 

851 
37 
235 
550 
505 



1,035 
4,008 

692 
1,120 

377 

2,207 

4,547 

1,048 

295 

110 

614 
4,759 
1,024 
1.869 
2.590 

1.743 
238 
410 
564 

1.362 

1.864 
1.461 

634 
1.356 

186 

710 

492 

564 

1.699 

1.571 

355 

1.205 

13.601 

479 

125.276 

567 
995 

1.257 
483 

1,108 

1,019 
261 
782 
714 
211 

1.214 

2.748 

555 

404 

1,833 

5,918 
1.178 
1.245 
1.386 
1.670 

1.189 

202 

497 

2,483 

2,126 



75 
826 
82 
43 
70 

564 

386 

74 

118 

7 

29 

708 

615 

171 

1,810 

102 
32 
23 
62 

186 

526 
208 
156 
159 
62 

210 
60 
163 
107 
124 

90 

59 

4,214 

14 

49,109 

19 
105 
457 

59 
182 

60 
25 
62 
51 
119 

67 
91 
45 
22 
142 

398 
182 
229 
421 
92 

319 

7 
52 
165 
177 



67 



Table 5. — Number of Offenses Koown to the Police, Cities and Towns 10,000 and over in Population, 1983 — Continued 



Cily by Stale 



Population 



Cnme 
Index 
tola] 



Modified* 
Cnmc 
Index 
total 



Murder 
and non- 
ncgligenl 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 

assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



CALIFORNIA — Continued 



National City.... 

Newark 

Newport Beach. 

Norwalk 

Novate 



Oakland . 
Oceanside.. 

Onlano 

Orange 

Oxnard 



Pacifica 

Pacific Grove 

Palm Springs 

Palo Alto 

Palos Verdes Estates . 



Palmdale... 
Paramount . 
Pa-sadena.... 

Paradise 

Pelaluma.... 



Pico Rivera.. 

Piedmont 

Pinole 

Pittsburg 

Placentia 



Pleasant Hill ... 

Pleasanlon 

Pomona 

Portervillc 

Port Hueneme.. 



Rancho Palos Verdes . 

Red Bluff 

Redding 

Redlands 

Redondo Beach 



Redwood City.. 

Reedley 

Riallo 

Richmond 

Ridgecrest 



Riverside 

Rohnert Park 

Rolling Hills EsUtes. 

Rosemead 

Roseville 



Sacramento 

Salinas 

San Anselmo ... 
San Bernardino . 
San Bruno 



San Carlos 

San Clemente.. 

San Diego 

San Dimas. .. 
San Fernando . 



San Francisco 

San FranCTSco Highway Patrol . 

San Francisco Shenff 

San Francisco State Police 

San Gabriel 



51,985 
3.1,982 
62,421 
91,244 
44,611 

362,344 
79,855 
93,957 
97,834 

123,873 

38,136 
16,792 
33,712 
58,711 
15,346 

13,099 
38,529 
126,081 
24,049 
35,726 

57.113 
11,237 
15,289 
34,952 
37,398 

27,108 
37,337 
99,097 
20,950 
18,871 

37,950 
10.170 
44,934 
46,516 
60,905 

60,474 
11,711 
40,051 
79,385 
17,006 

181,744 
23,989 
10,310 
45,511 
25,948 

293,695 
86,048 
12,720 

125,002 
37,555 

22,217 
29,170 
935,840 
25.552 
18,737 

721,168 



32,219 



4,558 
2,368 
4,721 
4.087 
1,397 

40.166 
5,193 
6,678 
5.074 
7,043 

1.261 

694 

3,863 

3,912 

352 

1,011 

2.648 

11.401 

815 

1.715 

2.427 

521 

786 

2,890 

1.443 

1.736 
1.227 
9.516 
2.417 
843 

841 

857 

2,822 

2.131 

3,207 

3.030 

565 

3.178 

8,726 

863 

14,435 

1,231 

399 

2.551 

1.937 

30,505 

7.448 

406 

15,417 
1.634 

1.027 

933 

63.737 

1.212 

1.471 

62,646 

2 

39 

387 

1.592 



4,566 
2,378 
4,744 
4,117 
1,401 

40,539 
5,265 
6.979 
5.104 
7,096 

1,269 

694 

3.886 

3,919 

355 

1,028 

2,665 

11.486 

820 

1,723 

2,456 
523 

2,928 
1,469 

1,741 
1,231 
9.600 
2,453 
845 

845 

858 

2,827 

2,150 

3.237 

3,046 

568 

3,189 

8,803 



14.721 

1,240 

399 

2,568 

1,953 

30,816 

7,621 

410 

15,535 
1,639 

1.033 

946 

64.103 

1.220 

1.471 

62.971 

39 

387 
1.599 



40 
6 
24 
41 
10 

478 
86 
70 
39 
70 



3 

21 

2 

1 

7 

83 
11 

4 

3 

3 

24 

19 

33 

15 

2 

16 

98 

3 

116 

6 

1 

18 

4 

217 

38 

1 

94 

3 

4 

13 

395 

4 



539 



250 
28 
46 

231 
15 

3,289 
293 
255 
111 
286 

20 
10 
84 
79 
2 

23 

185 

729 

7 

17 

151 
27 
19 

173 
26 

41 

9 

712 

36 

31 

13 

6 

49 

67 

134 

77 

6 

134 

605 

7 

469 
16 
II 

170 
29 

1,553 

200 

5 

1.114 

36 

21 
28 
2,550 
21 
94 

5,945 



179 
71 
95 

405 
51 

2.912 
469 
494 
259 
249 

61 

52 

317 

159 

15 

91 

319 

592 

34 

43 

362 
19 
34 

212 
92 

21 
43 
687 
102 
32 

60 
16 
182 
141 
76 

96 
64 
113 
732 
29 

891 
75 
16 

274 
46 

1.258 

372 

14 

774 
47 

37 
23 
2,429 
101 
175 

3,550 

2 

37 

49 

112 



910 

860 

1.185 

1.157 

391 

11.647 
1.464 
2.027 
1.310 
2,290 

322 
146 
1,409 
782 
137 

334 
837 
3,055 
194 
388 

684 
142 
159 
1,097 
450 

359 
259 
3,386 
651 
262 

356 
179 
732 
736 
794 

702 

98 

1,080 

2,480 

195 

4,261 

267 
135 
679 
437 

9,339 
1.523 

137 
4,853 

312 

246 

247 

16.157 

416 

373 

12,389 

I 

55 

472 



2,488 
1,327 
3,056 
1.740 
862 

19,000 
2,540 
3,345 
2,910 
3,648 

767 

462 
1,811 
2,713 

183 

468 
901 

5,899 
551 

1,158 

982 
320 
501 
1.249 
785 

1.264 

858 

3,900 

1,513 

458 

354 

625 

1,675 

1,057 

1.747 

1.947 

373 

1,513 

4,324 

553 

7,707 

834 

215 

1,158 

1,311 

16,074 

5,025 

233 

7.400 

1,101 

689 
531 
34,594 
580 
608 

34,481 

I 
254 
788 



689 

75 

311 

510 

66 

2.742 
324 
475 
440 
491 

82 

17 

218 

163 

9 

76 

381 

1,037 

26 

101 

227 
13 
70 

132 



50 
51 
733 
100 
55 

54 

28 
157 
110 
423 

192 

20 

317 

472 

75 

980 

32 

21 

247 

109 

2.012 

288 

15 

1,152 
135 

30 

91 

7,535 

89 

211 

5,659 



5 
122 



68 



Table S. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1983 — Continued 



City by State 



Population 



Crime 
Index 
total 



Modified* 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



CALIFORNIA — Continued 

Sanger 

San Jose 

San Juan Capistrano 

San Leandro 

San Luis Obispo 

San Marino 

San Mateo 

San Pablo 

San Rafael 

Santa Ana 

Santa Barbara 

Santa Clara 

Santa Cruz 

Sante Fe Springs , 

Santa Maria , 

Santa Monica 

Santa Paula 

Santa Rosa 

Saratoga 

Seal Beach 

Seaside 

Selma 

Sierra Madre 

Simi Valley 

South El Monte 

South Gate 

South Lake Tahoe 

South Pasadena 

South San Francisco 

Stanton 

Stockton 

Suisun City 

Sunnyvale 

Temple City 

Thousand Oaks 

Torrance 

Tracy 

Tulare 

Turlock 

Tustin 

Twin Cities 

Ukiah 

Union City 

Upland 

Vacaville 

Vallejo 

Ventura 

Visalia 

Walnut 

Walnut Creek 

Watsonville 

West Covina 

Westminster 

Whittier 

Woodland 

Yorba Linda 

Yuba City 



13,298 
671,913 
16,034 
67,832 
36,581 

14,225 
84,066 
21,113 
46,919 
220,078 

80,069 
93,395 
44,291 
15,571 
42,259 

94,289 
21,953 
87,694 
30,971 
27,680 

32,174 
11,675 
11,540 
82,725 
17,685 

71,434 
22,087 
24,210 
52,258 
25,272 

160,037 
11,402 

113,784 
32,253 
83,233 

140,479 
19,777 
24,031 
27,815 
28,903 

20,221 
12,908 
41,683 
50,369 
42,770 

82,532 
80,071 
53,009 
10,659 
56,399 

25,998 
82,948 
72,127 
73,112 
32,318 

30,033 
20,082 



894 

43,307 

709 

4,371 

1,721 

417 
5,180 
2,769 
2,521 
19,437 

5,262 
5,118 
4,310 
1,789 
3,214 

10,088 

1,087 

7,119 

740 

681 

1,962 

769 

214 

2,743 

1,574 

3,653 
1,782 
800 
2,383 
1,399 

16,060 

589 

4,487 

1,158 

2,895 

6,448 
1,057 
978 
2,113 
2,785 

857 
1,004 
2,650 
2,495 
1,823 

3,615 
4,078 
4,584 
522 
2,509 

2,196 
5,727 
3,940 
3,364 
1,851 

672 
1,606 



904 

43,706 

713 

4,390 

1,726 

422 
5,197 
2,782 

19,543 

5,287 
5,156 
4,324 
1,798 
3,236 

10,189 

7,168 
756 
689 

2,001 

774 

217 

2,754 

1,579 

3,684 
1,788 
807 
2,444 
1,407 

16,161 

630 

4,510 

1,167 

2,918 

6,495 
1,066 
987 
2,120 
2,827 

863 
1,006 
2,683 
2,519 
1,886 

3,634 
4,106 
4,626 
526 
2,520 

2,208 
5,761 
3,955 
3,384 
1.870 

680 
1,611 



26 



10 

447 

3 

7 

20 

1 
27 
18 
14 
96 

46 

40 

21 

9 

31 

71 
4 

36 
5 
4 

27 
4 
1 

16 
6 

37 
9 
I 

10 
6 

98 
6 

42 
7 
14 

52 



26 

1,461 

15 

208 

23 

12 
143 
190 

61 
732 

131 
107 
104 
69 
46 

553 
32 

135 

5 

40 

103 

14 

1 

29 

85 

277 
55 
34 
56 
59 

597 

9 

67 

39 

55 

352 
II 
22 
33 
69 

13 
7 
62 
59 
36 

163 
103 
92 
10 
40 

57 
190 
126 
92 
24 

7 
21 



100 

1,504 

38 

90 

19 

3 

177 

119 

57 

691 

202 
68 
114 
112 

174 

293 
119 
188 
21 
49 

115 

28 

7 

60 

137 

160 
52 
15 
57 
26 

433 
44 

119 
72 
91 

221 
25 
68 
65 

179 

78 
38 
124 
70 
84 

147 
175 
132 
16 
58 

106 
165 
128 
113 
89 

60 



293 
10,104 
199 
897 
415 

171 
942 
583 
614 
5,062 

1.298 

1.048 

956 

468 

929 

2.357 
282 

1,457 
279 
181 

455 
231 
100 
985 
494 

1.152 
621 
462 
660 
654 

4.618 
219 
812 
370 
994 

1.460 
149 
405 
554 
674 

202 
197 
923 
733 
350 

813 

1.043 

1.098 

204 

481 

457 

1,598 

1,342 

930 

536 

249 
347 



422 

26,959 

385 

2,898 

1,138 

216 

3.610 

1.718 

1.623 

11.386 

3.285 
3.463 
2,884 
881 
1,886 

5,715 
593 

4.935 
402 
325 

1,169 

444 

87 

1,452 
653 

1,453 
969 
146 

1,428 
492 

9,390 
294 

3,162 
573 

1,534 

3,308 

818 

391 

1,369 

1,709 

516 

705 
1,391 
1,439 
1,253 

2,303 
2,486 
3,051 
239 
1,805 

1,478 
3.047 
1.944 
1.804 
1.111 

306 
1.121 



41 
2.784 

69 
269 
105 

14 

279 

138 

151 

1.444 

299 
388 
230 
249 
143 

1,091 

57 

366 

27 
81 



47 

18 

196 

197 

566 
74 
141 
170 
160 



17 
283 

96 
207 

1,052 
53 
75 
80 
142 

47 
51 
129 
175 
84 

168 
236 
181 
50 
111 

94 
682 
386 
393 

76 

50 
71 



69 



Table 5. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1983 — Continued 



City by Stale 


Population 


Cnme 
Index 
total 


Modified* 
Cnme 
Index 
total 


Murder 
and non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
valed 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


Arson' 


COLORADO 


84,762 
172.575 
83.137 
14.035 
15.776 

14.152 
225.717 

17.688 
533,732 

11,396 

32,693 
70,824 

13,345 
30,696 
57,343 
124.290 
31.051 

46.786 
32.968 
32.441 
1 10.698 
12,393 

43,564 
10,546 
56,365 
33,044 

19.101 
11.381 
15,350 
15,947 
18,851 

23,162 
144,428 
57.966 
12.821 
21,842 

11.379 
10,410 
60,122 
19,067 
12,351 

53,280 
25.322 
43.298 
55.454 
16,636 

24,611 
59,477 
10.230 
41.561 
17.974 

51,719 

138,259 

14,117 

50,490 

57,287 


3.272 
12,343 
5,471 
1,051 
1,078 

578 

18.097 

1.639 

55.339 

863 

3.487 
4.150 

849 
2.685 
5,286 
9.393 
1,624 

3,373 
1,690 
2,237 
8,025 
630 

2.697 

600 

3.472 

2,291 

702 
339 
286 
316 
1.197 

723 

17.121 

1.817 

279 

480 

274 
411 
3,093 
523 
532 

2,974 

946 

1.766 

1,963 

671 

690 
1.731 

560 
1.644 

746 

2,513 

18,987 

371 

1.904 

2.981 


3,311 
12.410 
5.493 
1.057 
1.095 

581 

18,211 

1,645 

55,842 

866 

3,503 
4,161 

854 
2,695 
5,324 
9,452 
1.636 

3.387 
1.703 
2.247 
8.091 
632 

2.698 

600 

3.485 

2.304 

723 
343 
286 
316 
1,202 

723 

17,177 

1,853 

281 

483 

275 
412 
3,101 
523 
533 

2,992 

984 

1,779 

1.971 

671 

694 
1.733 

563 
1,653 

750 

2,519 

19.215 

373 

1,917 

3.007 


12 
4 


13 
65 

7 
1 
1 


42 

333 

51 

11 

6 

3 

446 

20 

1.924 

5 

73 
15 

2 
36 
39 
174 
22 

33 

6 

21 

157 

1 

29 

7 

51 

43 

27 
1 
3 
3 

28 

10 
1.120 
14 
2 
5 

8 
46 

1.667 
99 


174 
1.296 
169 
78 
108 

44 

656 

101 

1,947 

22 

120 
281 

23 

44 

265 

510 

23 

115 
166 

48 
604 

14 

36 

17 
175 
87 

39 

2 

7 

3 

22 

4 
564 
124 

5 
3 


851 

2.879 

1.120 

151 

259 

66 

4,339 

247 

14,053 

142 

550 
806 

191 

455 

1,056 

2,024 

382 

557 
287 
444 

2.205 

78 

550 
215 
729 
543 

178 
91 
70 
82 

201 

143 

4.357 

464 

70 

129 

72 

89 

753 

183 

112 

704 
182 
340 
609 
149 

168 

372 
117 
304 
170 

460 

4.531 

150 

447 

777 


2.083 

7.207 

3.864 

768 

660 

447 

11.550 

1.179 

32,069 

631 

2,481 
2,881 

589 
2,029 
3,703 
6,184 
1,082 

2.529 
1.168 
1.571 
4.701 
514 

1.934 

333 

2.327 

1.497 

394 
233 
156 
214 
841 

505 

7.832 

1.091 

184 

299 

190 
267 
1.909 
299 
335 

1.831 

632 

1.226 

1,070 

466 

457 
1,204 

383 
1.199 

538 

1.707 
9.444 
202 
1.272 
1.847 


109 
551 
256 
42 
44 

18 

941 

85 

4.838 

49 

256 
131 

40 
109 
197 
459 
109 

128 

48 

141 

298 

19 

141 
23 
165 
107 

54 
12 
48 
12 
95 

61 

3.175 

118 

18 

43 

11 
37 
214 
36 
46 

304 
97 
140 
239 
48 

38 
121 
50 
55 
20 

239 

2.234 

12 

147 

207 


39 


Aurora' 


67 


Boulder 

Drighlon 

Broomfield 

Canon City 

Colorado Springs 


22 
6 
17 

3 


14 

1 
78 

1 

1 
1 


151 
6 

430 
14 

6 
36 

4 
10 

23 

38 

3 

9 
14 

9 
58 

3 

6 

1 

24 

11 

9 


114 


Commerce City 


6 




503 




3 




16 


Fort Collins 

Golden 


11 
5 




10 


Greeley 

Lakewood 

Littleton 

Longmont 


38 
59 
12 

14 
13 


Northglenn 


10 
66 




2 




1 








13 


Wheat Ridge 


13 


CONNECTICUT 


21 




4 


Berlin 




Bethel 






5 










32 
3 




56 


Bristol 


36 


Brookfield 


2 


Cheshire 




6 


3 




1 




1 

1 

2 


6 

160 

2 

22 

68 
22 
30 
17 


1 




8 






Derby , 


1 


East Hartford 


18 


East Haven Town 


38 


Enfield 


13 


Fairfield 




g 










1 
1 

16 

2 


23 
19 
5 
42 
14 

22 

1.01b 

5 

24 

43 


4 




2 


Groton City 

Groton Town 

Guilford 

Hamden 

Hartford 


3 
9 

4 

6 

228 


Madison Town 


2 




13 




26 



70 



rable 5. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1983 — Continued 



City by State 



CONNECTICUT — Continued 



diddletown-. 

Gilford 

Monroe 

'laugatuck .... 
liew Britain.. 



•Jew Canaan . . 
•Jew Haven ... 

»Jewington 

•Jew London.. 
•Jew Milford.. 



•Jewtown 

•Jorth Branford.. 

•Jorth Haven 

•Joi^alk 

•JoiTvich 



)range 

'lainfield 

Main villa 

Plymouth 

lidgefield Town 



locky Hill .. 

leymour 

ihelton 

iimsbury 

iouthington.. 



iouth Windsor.. 

itamford 

itonington 

itratford 

rorrington 



Frumbull ... 

Vernon 

Walhngford . 
Waterbury . . . 
■Waterford 



Wateitown 

West Hartford . 

West Haven 

Westport 

Wethersfield 



Willimantic 

Wilton 

Windsor 

Windsor Locks.. 

Winsted 

Wolcott 



DELAWARE 



Dover 

Newark 

Wilmington . 



Population 



Cnme 
Index 
total 



DISTRICT OF COLUMBIA 

Washington 



39,569 
51,589 
14,144 
26.518 
74,691 

18,091 
127,525 
29,237 
29,306 
19,583 

19,053 
11,632 
22,335 
77,790 
38.577 

13,407 
12,713 
16,656 
10,893 
20,311 

14,770 
13,527 
31,834 
20,083 
37,254 

17,441 
103,040 
16,466 
51,231 
31.409 

33,467 
28.394 
37,211 
103,642 
18,054 

19,754 
62,189 
53,862 
25,667 
26,388 

14,838 
15,378 
25,519 
12,299 
11,944 
13,128 



23,961 
27,065 
71,693 



623,000 



Modified' 
Cntne 
Index 
total 



1,785 

1,894 

427 

285 

4.967 

374 

13.545 

1.010 

2.650 

571 

465 

263 

942 

5.229 

1.944 

767 
175 
642 
245 
384 

492 
381 
605 
341 
1,096 

402 

7,165 
672 

1,772 
813 

1,143 

930 

1,346 

6,703 

465 

528 
2,659 
2,824 
1,526 

690 

862 
263 
1,134 
192 
334 
391 



1,882 
2,123 
7,113 



57,776 



Murder 
and non- 
negligent 

man- 
slaughter 



1,789 

1,918 

447 

290 

4,984 

375 

13,691 

1,025 

2,666 

582 

476 

268 

946 

5,238 

1,960 

768 
177 
651 
247 
392 

501 
381 
607 
343 
1,102 

404 
7,195 

672 
1.802 

821 

1.144 

977 

1.348 

6.739 

478 

528 
2.681 
2.851 
1.531 

699 

867 
265 
l.i45 
194 
334 
393 



1.904 
2.136 
7,160 



58,129 



Forcible 
rape 



183 



Robbery 



406 



28 

38 

6 

8 

226 

2 

1.193 

17 

68 

4 

3 
3 

10 
160 

57 



Aggra- 
vated 
assault 



5 
3 
6 
3 
14 

5 

306 

3 

54 
10 

10 

7 

I 

326 



29 

6 

374 



7.698 



Burglary 



50 
39 

7 

4 

72 

2 

286 

42 

56 

18 

9 
3 

19 
80 
83 

24 
2 

14 
12 



197 

1 

47 

19 

18 

34 

9 

143 

5 

5 

58 

143 

13 

25 

36 
6 

25 

14 
6 

16 



99 
91 

272 



3.646 



Larceny- 
theft 



395 
503 
112 
49 
1.175 

144 
3.768 
261 
794 
163 

209 

91 

211 

1.450 

538 

100 
51 

185 
78 

151 

142 
73 
111 
107 
263 

83 

1,873 

188 

510 

227 

232 
182 
326 
1,537 
119 

103 
494 
728 
274 
100 

237 
91 

356 
37 
83 

122 



284 

348 

1,680 



12,483 



Motor 
vehicle 
theft 



1,171 

1.057 

287 

192 

3.166 

200 
6,713 

625 
1,550 

341 

212 

152 

635 

3,122 

1,120 

579 
112 
368 
144 
202 

300 

270 
433 
212 
700 

265 
4.122 
446 
912 
475 

752 
638 
894 
4.189 
295 

371 
1.837 
1.502 
1.131 

498 

502 
153 

648 
121 
223 
230 



1,379 
1.588 
4.176 



29.405 



127 

245 

14 

30 

301 

26 
1,486 
61 
173 
38 

31 

13 

66 

396 

126 



56 



4 
24 
20 

5 
17 

1 

146 

15 

16 

11 

11 
5 
4 
9 

16 

1 
2 
9 



8 


2 


29 


8 


36 


9 


78 




48 


2 


9 


2 


76 


6 


38 


2 


639 


30 


34 




245 


30 


78 


8 


131 


1 


63 


47 


94 


2 


465 


36 


35 


13 


41 




221 


22 


360 


27 


92 


5 



46 


9 


54 


5 


11 


2 


68 


11 


18 


2 


70 




21 


2 


77 


22 


87 


13 


547 


47 


955 


353 



71 



Table 5. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1983 — Continued 



Cily by SiMc 



FLORIDA 



Altamonte Springs.. 

Bartow 

Belle Glade 

Boca Ralon 

Boynton Beach 



Bradenton .. 
Cape Coral . 
Casselberry, 
Clearwater .. 
Cocoa 



Cocoa Beach... 
Cooper City.... 
Coral Gables... 
Coral Springs.. 
Dania 



Davie 

Daytona Beach .. 
Deerfield Beach. 

De Land 

Delray Beach 



Dunedin 

Eustis 

Fort Lauderdale.. 

Fort Myers 

Fort Pierce 



Fort Walton Beach . 

Gainesville 

Gulfjwrt 

Haines City 

Hallandale 



Hialeah 

HoUy Hill... 
Hollywood 
Homestead 
Jacksonville.. 



Jacksonville Beach.. 

Jupiter 

Key West 

Kissinunee 

Lake City 



Lakeland 

Lake Worth 

Largo 

Leesburg 

Lighthouse Point. 



Longwood 

Margate 

Melbourne 

Miami 

Miami Beach . 



Miami Shores 

Miami Springs 

Miramar 

Naples 

New Port Richey., 



New Smyrna Beach 



Population 



23,993 
16.548 
16.164 
55.987 
38.335 

33.020 
35,592 
16.803 
97.396 
17.885 

12,156 
11.281 
47,375 
41,173 
13,242 

22.937 
59.844 
35.128 
15.364 
37.961 

33,280 
10,597 
171,952 
40.884 
37.732 

23.232 
80,677 
12,356 
11,808 
41,049 

160,334 
10,972 

130,421 
22,117 

605,934 

17.249 
10,480 
19,986 
17,114 
10,239 

54,327 
29,143 
67,902 
14,695 
12,748 

11,054 

40,038 

51,334 

374.769 

101,402 

10,177 
13,621 
36,448 
19,644 
11,909 

14,8601 



Crime 
Index 
total 



1,923 
1.147 
2.411 
3.226 
2,503 

3.012 

845 

871 

6,486 

1,462 

1,061 

384 
4,372 
1,388 
1.723 

1,436 
8,197 
1,591 
1,623 
3.973 

1.255 

464 

19.288 

3,853 

4,183 

1,799 

6,637 

616 

780 

2.914 

10.452 

947 

10,546 

2,857 

42,330 

1,735 

838 

2.984 

1.954 

812 

5.049 

3,326 

2.568 

1.298 

401 

628 

1,193 

3,960 

49,799 

10,596 

1,017 
1,021 
1,217 
1.400 
792 

1,439 



Modined* 
Crime 
Index 
total 



1.923 
1.155 
2.467 
3.232 
2.506 

3.015 

847 

878 

6.522 

1,466 

1,065 
384 
4,385 
1.388 
1.728 

1.448 
8.224 
1,595 
1,624 
3.990 

1.264 

464 

19,360 

3,856 

4,189 

1,801 

6,647 

616 

784 
2.927 

10.501 

948 

10,575 

2,870 

42,658 

1,749 

841 

2.997 

1.956 

813 

5,075 
3,338 
2,581 
1,300 
401 

634 

1,196 

3,976 

49,892 

10,631 

1,019 
1,022 
1,225 
i,400 
794 

1,443! 



Murder 
and non- 
negligent 

man- 
slaughter 



3 

2 

1 

144 

15 



Forcible 
rape 



3 

6 

20 

4 

25 

14 
2 

47 

7 

9 
1 
8 
3 
18 

20 
63 
34 
12 
14 

16 

1 

107 

19 

46 

13 

42 

2 

4 

18 

23 
10 
37 
22 
411 

11 
3 

16 
6 



5 

7 

21 

365 

9 

1 

4 
10 
4 



Robbery 



32 
25 
86 
52 
107 

64 
6 

11 
117 
75 

32 
3 

170 
2 

101 

35 
287 
42 
34 
112 



896 
186 
206 

42 

164 

15 

11 

177 

458 

21 

424 

132 

2,288 

57 
4 
89 
46 
14 

153 
93 
27 
39 
7 

5 

26 

66 

4,719 

422 

106 

34 

49 

17 

4 



Aggra- 
vated 
assault 



49 
124 
419 

70 
289 

274 
27 
52 

415 
85 

111 
20 
112 



70 
525 
103 

63 
346 

121 
6 
559 
303 
306 

78 
570 

1 

16 
173 

692 

59 

505 

284 

2,889 

74 
26 
192 
137 
83 

242 

205 

118 

79 

12 

52 
52 

319 
4,556 

388 

45 
34 
70 
54 
53 



Burglary 



105 



382 
325 
601 
896 
664 

881 
263 
200 
1,490 
441 

205 
108 
740 
333 
479 

352 

2,100 

387 

477 

1.083 

365 
133 

6.050 
746 

1.050 

406 
1,518 
183 
159 
618 

1,863 

283 

2.566 

667 

12,509 

318 
171 
974 
399 
171 

1,214 

1,252 

784 

296 

66 

160 

19b 

940 

9,984 

2,647 

250 
272 
401 
273 
217 

305 



Larccny- 
Ihell 



1,354 
635 
1.233 
2.028 
1.321 

1,654 
520 
554 

4.142 
789 

643 
244 
2.933 
942 
869 

833 

4,833 

917 

991 

2.232 

708 

287 

9,' 

2,472 

2,408 

1,155 

4,118 

381 

559 

1,646 

6.026 

538 

6,272 

1,545 

22,634 

1,1^3 
591 

1,510 

1.287 

527 

3,229 

1,530 

1,533 

830 

296 

367 
827 

2,457 
24,729 

6,336 

560 
584 
596 
996 
487 

925 



Motor 
vehicle 
theft 



102 
30 
47 

175 
96 

121 
25 
54 



271 


3 


62 




60 




8 




404 


1 


40 




133 




122 


1 


378 


2 


107 




45 




183 


1 


30 




29 




1,645 


7 


117 




158 




105 




218 


1' 


17 




30 




276 


1 


1,378 


4' 


35 




737 


2' 


198 


1. 


1,517 


321 


87 


1< 


41 




199 


1; 


76 




16 




169 


2( 


213 


1: 


95 


1; 


49 


i 


20 




36 


t 


83 


3 


156 


16 


5.302 


93 


779 


35 


55 


2 


92 


1 


89 


8 


56 




30 


2 


77 


4 



72 



ible 5. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1983 — Continued 



City by State 



FLORIDA — Continued 



iceville 

Drth Lauderdale 

orth Miami 

orth Miami Beach. 
oith Palm Beach... 



ikland Park ... 

;ala 

pa Locka 

rlando 

rmond Beach.. 



ilatka 

dm Bay 

Urn Beach 

ilm Beach Gardens., 
mama City 



jmbroke Pines 

jnsacola 

nellas Park 

antation 

lant City 



ompano Beach .. 

3rt Orange 

3rt Saint Lucie . 

iviera Beach 

ockledge 



unt Augustine 

lint Petersburg 

lint Petersburg Beach.. 

inford 

arasota...... ::, 



outh Daytona.. 

outh Miami 

tuart 

unnse 

'allahassee 



amarac 

'ampa.... 

'arpon Springs .. 
"emple Terrace.. 
Titus ville 



/enice 

Zero Beach 

*'est Palm Beach . 

iVilton Manors 

A^inter Haven 



Population 



Cnme 
Index 
total 



Wmlev Park 

Winter Springs. 



10,604 
19,676 
47.132 
36,498 
12,433 

22,638 
40,079 
15,890 
142,678 
23,795 

10,873 
20,110 
10,703 
12,867 
36,950 

39,794 
63,775 
36,253 
54,101 
21,27! 

57,591 
20,471 
17,497 
28,545 
13,099 

13,180 
260,697 
10,264 
23,131 
54,476 

10.527 
11,767 
10,362 
44,036 
90,153 

31,487 
299,965 
14,598 
12,383 
35,429 

13,544 
18,035 
65,274 
14,196 
23,591 

24,915 
11,601 



Modified* 
Cnme 
Index 
total 



84 

603 

4,200 

2,741 

609 

3,526 
4,716 
2,273 
13,682 
1.143 

1,028 

1,097 

484 

717 

3,225 

1,573 
4,796 
2,528 
3,954 
1,599 

6,152 
934 
829 

3,569 
811 

1,122 

18,351 

641 

2,441 

4,247 

375 
1,206 
1,072 
1,456 
7,253 

770 

33,159 

964 

610 

2,614 

636 
1.402 
9,759 

670 
2,219 

1,776 
356 



Murder 
and non- 
negligent 

man- 
slaughter 



84 

605 

4,207 

2,748 

615 

3,543 
4,743 
2,279 
13,789 
1,145 

1,033 

1,108 

485 

720 

3,228 

1,586 
4,831 
2,531 
3,956 
1,605 

6,171 
935 
829 

3,585 
811 

1,124 

18,468 

641 

2,450 

4.258 

377 
1.208 
1,075 
1,461 
7,260 

770 

33,371 

969 

610 

2,618 

638 
1,407 
9,792 

670 
2,221 

1,781 
357 



Forcible 
rape 



21 



58 



Robbery 



5 
5 
7 
3 

23 

18 

13 

141 

5 

9 
6 
1 

2 



1 

26 

7 

5 

12 

35 
9 
1 

24 
4 

4 

154 

2 

16 

45 

2 
3 
7 
2 



82 



3 
288 



3 

7 

290 

203 

10 

119 
129 
154 
768 
21 

28 
1 
6 
14 
36 

48 
135 
35 
92 
42 

180 
4 
2 

118 
17 

29 

859 

6 

94 
156 



HI 
19 
21 

172 

15 

1,529 

14 



Aggra- 
vated 
assault 



49 



15 
646 

27 
48 

44 
4 



Burglary 



3 

24 
134 
139 

17 

147 

221 

320 

1,292 

21 

91 

48 

9 

55 

383 

58 
443 
135 

74 
139 

521 
46 
22 

493 
41 

42 
1,477 

24 
176 
175 

1 

82 
115 
142 
464 

12 

3,178 

71 

12 

167 

16 
28 

505 
10 

176 

79 
32 



Larceny- 
theft 



38 
164 
959 
562 

92 

701 
1,429 

489 
3.490 

201 

273 
357 
66 
101 
561 

430 
1,225 
612 
787 
411 

1,543 
297 
276 

1,111 
196 

236 

5,080 

225 

616 

1,044 

119 
377 
242 
264 
1,919 

216 
9,513 
280 
126 
829 

116 
255 
3,011 
202 
448 

376 
64 



Motor 
vehicle 
theft 



29 

384 

2,432 

1,530 

470 

2,270 
2,749 
1,129 
7,276 
867 

604 
630 
381 
517 
2,127 

965 
2,825 
1,645 
2,683 

926 

3,455 
540 
508 

1,688 

527 

760 

10,331 

363 

1,426 

2,673 

206 
563 
651 
955 
4,337 

496 

16,998 

562 

441 

1.456 

458 
1.065 
4.954 

379 
1,462 

1.223 
243 



II 

19 
375 
297 

17 

265 
163 
158 
701 
27 

23 
37 
21 
27 
104 

70 
133 

94 
307 

67 

414 
35 
20 

133 
26 

51 
429 

21 
113 
150 

22 
68 
37 
72 
275 



2 
7 
7 
6 

17 

27 

6 

107 

2 

5 
11 
1 
3 
3 

13 

35 

3 

2 

6 

19 
1 



2 
117 



9 
11 

2 
2 
3 
5 

7 



78 




1.595 


212 


32 


5 


?1 




104 


4 


37 


2 


36 


5 


562 


33 


48 




71 


2 


44 


5 


12 


1 



73 



Table 5. — Number of OfTenses Known to the Police, Cities and Towns 10,000 and over in Population, 1983 — Continued 



Cily by State 



GEORGIA 

Albany 

Ameiicus 

Athens 

Atlanta 

Augusta 

Bainbndge 

Bi^nswick 

Carrollton 

College Park 

Columbus 

Cordele 

Covington 

Decatur 

East Point 

Fitzgerald 

Gainesville 

Gnffin 

La Grange 

Macon 

Marietta 

Milledgeville 

Moultrie 

Rome 

Roswell 

Savannah 

Smyrna 

Statesboro 

ThomasviUe 

Tifton 

Valdosta 

Vidalia 

Waycross 

HAWAII 

Hilo 

Honolulu 

IDAHO 

Blackfoot 

Boise 

Caldwell 

Coeur d'Alene 

Idaho Falls 

Lewiston 

Moscow 

Nampa 

Pocalello 

Rexburg 

Twm Falls 



Population 



78.804 
17.126 
43.972 
448.635 
49,565 

11,158 
18,419 
14,924 
25,983 
178,935 

11.532 
11.070 
19.222 
39.608 
10.701 

15.050 
21.996 
25,585 
123.279 
31,785 

12,787 
16,564 
31,538 
24.671 
146,971 

21,966 
15.682 
19.560 
14.599 
39.578 

10.947 
20.485 



39.293 
808.092 



10.537 
107,085 
18.445 
22,578 
41.505 

29.317 
17.220 
26.265 
48.588 
12.129 
27.466 



Cnmc 
Index 
total 



5.489 

704 

2.910 

48.413 

3.150 

466 
2.562 
1.266 
2.377 
6,857 

788 

798 

1,161 

3.001 

500 

1.089 
1.767 
1.553 
7.984 
3,257 

958 

752 

1,778 

1,172 

12,736 

1,598 
719 
957 
866 

3.720 

83 
1.023 



2.310 
46.228 



485 
6,085 
1,566 
1,545 
2,350 

1,489 
601 

2,001 

2,583 
637 

1.570 



Modified' 
Cnmc 
Index 
total 



5.505 



48.720 
3.160 



1.270 
6.903 



500 



1.771 

8.027 
3.289 



1.175 
12.789 



967 



85 
1.027 



2.324 
46.641 



486 
6.134 
1.571 
1.554 
2.354 

1.494 
602 

2,016 

2,604 
637 

1,580 



Murder 
and non- 
negligent 

man- 
slaughter 



12 
2 
4 
141 
9 

4 
I 
I 

5 
10 

1 
3 
1 

6 
1 

2 
4 
3 
22 
4 



45 



Forcible 
rape 



63 

7 

32 

619 

24 

1 
44 

7 
26 
59 

5 
5 
15 
24 
3 

1 
18 

5 
36 
15 

10 

2 

3 

5 

115 



12 
249 



Robbery 



168 

9 

64 

3.552 

133 

12 
86 
17 
76 
248 

14 

17 

50 

122 

9 

16 

51 

16 

214 

77 

15 
28 
31 
12 
526 

36 

19 
31 
18 
33 

4 
23 



13 
1.243 



Aggra- 
vated 
as&ault 



374 
53 

216 

5.014 

94 

49 

306 

53 

64 

331 

102 
59 
38 

212 
31 

28 

99 

179 

381 

154 

69 
24 
83 
29 
524 

47 
41 
55 
64 
35 

9 
41 



36 
599 



19 
319 
100 

72 
82 

33 
6 

75 

81 
9 

68 



Burglary 



1.644 

186 

819 

12.501 

1.002 

118 
729 
306 
667 
1.969 

224 
165 
383 
997 
167 

194 
416 
166 
1.695 
717 

313 
214 
524 
320 
2,907 

522 
109 
210 
193 
1.256 



289 



484 
10.044 



107 
1.412 
337 
320 
534 

366 
65 

446 

448 
64 

286 



Larceny* 
thefi 



3.068 

428 

1.664 

23.566 

1.743 

259 
1.323 

831 
1.374 
3.800 

420 
530 
565 
1,440 
275 

784 
1,108 
1,150 
5.101 
1,998 

513 
460 

1.023 
720 

8.076 

866 

525 

618 

553 

2,210 

56 
626 



1.683 
30.195 



314 
4.009 
1,047 
1,084 
1,587 

998 

511 

1,393 

1.917 

535 

1,144 



Motor 
vehicle 
theft 



160 

19 

111 

3.020 

145 

23 
73 
51 

165 
440 

22 

19 

109 

200 

14 

64 

71 

34 

535 

292 

38 
23 

113 
83 

563 

116 
22 
34 
31 

153 

2 
38 



82 
3.853 



39 
244 
58 
55 
104 

79 
18 
66 
89 
28 
54 



74 



gble 5. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1983 — Continued 



City by Slate 



Population 



Cnme 
Itidex 
total 



Modified* 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



ILLINOIS 



ddison 

Isip 

Iton 

irlington Heights - 
urora 



irtlelt .... 
itavia .... 
;lleville.. 
;llwood.. 
ilvidere . . 



ii;nsenville 

:rwyn 

^loomingdale . 
iioomington .. 
Hue Island .... 



Mingbrook 

jurbonnais 

■idgeview 

rookfield 

iffalo Grove. 



arbank 

ihokia 

ilumet City. 

inton 

jrbondale 



arol Stream ... 
arpentersville.. 

entralia 

hampaign 

harleston 



hicago^ 

hicago Heights 

it^ro 

oUinsville 

ountry Club Hills . 



restwood 

rystal Lake.. 

tanville 

►arien 

>ecatur 



)eerfield 

)e Kalb 

)es Plaines., 

)ixon 

>olton 



)owners Grove... 

iast Moline 

iast Peoria 

last Saint Louis . 



28,553 
17,280 
34,352 
67,433 
78,004 

13,312 
12,309 
40,312 
20,040 
15,390 

16,284 
47.332 
12,601 
44,841 
21,951 

36,350 
13.443 
14,221 
19,458 
22,392 

28,680 
19,187 
39,529 
14,942 
26,445 

15,518 
23,520 
15,072 
57,835 
19,697 

3,021,203 
37.313 
61.938 
21.776 
14,804 

10,810 
18,668 
39,289 
14,924 
94,590 

17,483 
33,372 
54,095 
15,911 
24,937 

39.275 
20.953 
21.794 
55,599 



1,330 
973 
3,181 
2,488 
5,571 

377 

458 

1,481 

1,010 

739 

1,155 
1.840 
783 
3,111 
1,128 

878 
307 
803 
336 
594 

1.004 
1,247 
3,784 
599 
1,682 

919 
1,129 
1,046 
6,035 

492 

241,603 

3.200 

3.901 

1.143 

488 

221 
597 

3,093 
279 

5,981 

332 
1,145 
1,807 

533 
1,566 

1,448 

1,019 

745 

4,221 



1,340 
982 
3,205 
2.506 
5,609 

378 

463 

1,493 

i,on 

742 

1,170 
1,844 
786 
3,130 
1,138 

886 
308 
809 
344 
597 

1,015 
1,254 
3,784 
602 
1,694 

925 
1,139 
1,047 
6,072 

495 

243,554 

3,219 

3,963 

1,145 

488 

221 
600 

3,103 
279 

6,025 

335 
1,148 
1,819 

534 
1,573 

1,462 

1,019 

749 

4,279 



729 
5 
7 
2 



55 



2,246 
12 
1 



23 



6 

3 

2 

114 



13 
12 
60 
12 
163 

I 

1 
38 
48 

2 

6 

43 

9 

43 

19 



12 
15 
86 
5 
46 

6 

4 

16 

202 



23,471 

127 

153 

11 

2 

4 

1 

61 

3 

172 



10 

7 

408 



23 
32 
72 
39 
245 

21 

13 
52 
67 
20 

21 
37 
24 
114 
38 

29 
4 

23 
4 

13 



44 
39 
16 
49 

37 
49 
58 
343 
19 

13,330 

210 

300 

15 

18 

6 

10 

175 

9 

190 

2 
18 
37 

4 
25 

33 

34 

7 

1,060 



372 
207 
894 
640 
1,466 

85 
102 
411 
203 
158 

322 

548 

98 

660 

273 

190 
66 

175 
92 

108 

226 
298 
707 
185 
323 

203 
246 
269 
2,054 
129 

48,955 

809 

1,214 

288 

124 

13 
95 

828 

75 

1,697 

37 
192 
391 
123 
349 

317 

291 

179 

1,469 



833 

568 

2,053 

1,690 

3,439 

255 
331 
902 
558 
535 

735 

873 

571 

2,183 

578 

591 
218 
547 
209 
452 

672 
846 

2,018 
367 

1,206 

607 

798 

661 

3,260 

328 

113.821 

1,505 

1,436 

728 

307 

143 
478 

1,960 
172 

3,807 

282 
895 
1,238 
390 
928 

998 
636 
519 
811 



152 
85 
97 

220 

14 
II 

75 
126 
23 

69 

330 
79 
86 

216 

55 
17 
45 
23 
20 

49 

39 

923 

24 



38 


12 


63 


6 


29 


10 


38 


1 


150 


37 


10 


3 


39.051 


1.951 


532 


19 


773 


62 


96 


2 


37 




55 




12 


3 


59 


10 


19 




92 


44 


II 


3 


31 


3 


123 


12 


13 


1 


223 


7 


90 


14 


45 




31 


4 


304 


58 



75 



Table 5. — Number of Offenses Known to the Police, Qties and Towns 10,000 and over in Population, 1983 — Continued 



City by Stale 



ILLINOIS — Continued 



Edwardsville 

Effingham 

Elgin 

Elk Grove Village.. 
Elmhurst 



Elmwood Park.. 

Evanston 

Evergreen Park . 
Franklin Park ... 
Freeport 



Galesburg 

Clendale Heighls.. 

Glen Ellyn 

Glenview 

Glenwood 



Granite City ... 
Hanover Park . 

Harrisburg 

Harvey 

Hazel Crest ... 



Herrin 

Hickory Hills 

Highland Park .... 
Hoffman Estates.. 
Homewood 



Jacksonville. 

Joliet 

Justice 

Kankakee 

Kewanee 



La Grange 

La Grange Park . 

Lake Forest 

Lansing 

U Salle 



LibertyviUe .... 

Lincoln 

Lincolnwood . 

Lisle 

Lombard 



Loves Park 

Lyons 

Machessney Park . 
Macomb 



Marion 

Markham.. 
Matteson... 
Mattoon.... 
May wood.. 



McHenry 

Melrose Park . 

Midlothian 

Moline 

Monmouth 



Morton Grove.... 
Mount Prospect . 
Mount Vernon ... 

Mundelein 

Naperville 



Population 



Chmc 
Index 
total 



12.580 
11.367 
63.996 
29.147 
44.493 

24.114 
74,123 
22,382 
17.756 
26.362 

35,827 
23,355 
24,126 
30,671 
10,544 

36.948 
29,120 
10,463 
35,766 
14.120 

10,267 
13,923 
30,609 
38.546 
19,865 

20,406 
79,066 
10,638 
30,155 
14,651 

15,526 
13,572 
15,290 
29,299 
10,450 

16,677 
16,493 
11.986 
13,778 
37,820 

13,303 
10.002 
19,739 
20,075 

13,982 
15.023 
10,294 
19,294 
28,300 

11.168 
20,695 
14,337 
46,102 
10,811 

24,022 
51,908 
16,635 
17,191 
41,699 



428 

603 

3,916 

1.114 

1,198 

421 
5,632 
1,247 
1,121 
1,425 

2,238 
736 
826 
802 

428 

1,971 
1,096 

661 
3,924 

602 

286 

350 

760 

1,116 

1,177 

1,411 
6,849 

395 
2,770 

610 

530 
197 
242 
1,177 
346 

615 
768 
558 
512 
1.719 

863 
381 
953 
228 

479 

1,432 

976 

195 

2,601 

415 
1,045 
1,008 
2,506 

685 

684 
1,893 
1,565 

557 
1,377 



Modified' 
Cnme 
Index 
total 



433 

606 

3,932 

1,130 

1,213 

421 
5,652 
1,247 
1,124 
1,439 

2,243 
738 
833 
806 
431 

1,991 
1,102 

666 
3,991 

615 

287 

354 

760 

1,127 

1,186 

1,418 
6,949 

399 
2,771 

614 

537 
197 
242 
1,180 
349 

619 

770 

558 

523 

1,728 

867 
384 
955 
231 

480 

1.436 

978 

195 

2,626 

415 
1,049 
1.010 
2,529 

688 

687 
1.905 
1,568 

557 
1,391 



Murder 
and non- 
negligenl 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



213 
33 
24 
38 



15 

6 

3 

251 



1 

3 
7 
2 
6 

7 
231 

3 
108 

3 



6 

3 
14 

4 
16 

7 

14 

4 

1 

6 

36 

9 

9 

146 



6 

7 

157 

22 

19 

9 
187 

7 
59 
97 

55 
27 
18 
10 
34 

63 
51 
12 
242 
23 

19 

9 

23 

29 

7 

30 
506 

30 

106 

9 

II 
3 
3 



26 
33 
4 

22 
42 

22 
4 
35 
25 

12 

71 

II 

7 

211 



25 

125 

53 

12 

14 
50 
54 
7 
31 



Burglary 



Larceny- 
theft 



163 

1,254 

254 

349 

81 

1,702 

140 

250 

311 

482 
128 
195 
128 
72 

526 
269 
279 
989 
137 

83 

72 

169 

251 

139 

366 

1,470 

95 

606 

160 

146 
51 
63 

228 
79 

91 
199 
129 
127 
321 

172 

107 

226 

50 

131 

631 

81 

72 
694 

43 
138 
157 
607 
210 

188 
390 
502 
61 
337 



Motor 
vehicle 
theft 



318 
406 
2,264 
747 
741 

156 
3,277 
893 
684 
943 

1.528 
511 
571 
627 
233 

1,284 
719 
341 

1,827 
364 

162 
230 
530 
781 
856 

982 
4,075 

223 
1,775 

433 

339 
123 
164 
689 
246 

462 
515 
331 
303 
1.129 

637 
224 
657 
147 

304 

544 

685 

94 

1,159 

349 
642 
618 
1.735 
439 

435 
1,316 
910 
457 
948 



14 
18 
137 
84 
77 

170 
235 
173 

98 

30 

45 
68 
32 
35 
81 

79 
43 
25 
582 
67 

19 
36 
30 
52 
169 

22 
530 

44 

151 

4 

20 
13 . 
9 
224 
12 

30 
16 

75 .. 
56 
205 

23 

29 

23 

3 

24 
144 
188 

11 
374 

15 
224 
97 
68 
12 

37 
117 
61 

28 .. 
50 1 



76 



ible 5. — Number of Offenses Known to the Police, Cities and Towns 10,000 and oyer in Population, 1983 — Continued 



City by State 


Population 


Crime 
Index 
total 


Modified' 
Crime 
Index 
total 


Murder 
and non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


Arson* 


ILUNOXS — Continued 


30,618 
36,011 
16,648 
30,335 
38,713 

12,313 
26,193 
61,053 
55,527 
10,301 

22,968 
18,376 
32,312 
1 1,089 
16,818 

26,456 
39,204 
33.867 
125,016 
10,987 

11,356 
11,829 
42,532 
20,314 
13,341 

12,526 
10,460 
10,707 
140,815 
47,469 

20,241 
15.723 
14,736 
13,064 
17,436 

10,925 
52,683 
11,657 
61,022 
24,963 

100.240 
16,471 
23,531 
14,961 
11.428 

26,239 
35,538 
23,362 
10,410 

67,858 
17,927 
12,587 
12,977 
16,818 

43,265 
23,339 
28,513 
12,843 
11,391 


780 
1,298 

955 
1.012 
1.869 

314 

931 

1,876 

4,235 

372 

1,039 
507 

1,090 
245 
390 

1,022 

1.131 

1,382 

10,639 

326 

418 
888 
1,992 
430 
548 

592 

400 

322 

11,538 

3,706 

859 
666 
481 
628 
731 

556 
2,641 

670 
2,612 
1,021 

10,030 
851 
704 
434 
221 

909 

2,539 

889 

340 

5,929 
458 
634 
231 
709 

1,101 
919 
865 
311 
428 


780 
1,299 

957 
1,018 
1,883 

316 

939 

1,884 

4,251 

375 

1,041 
514 

1,093 
247 
391 

1,028 

1,143 

1,395 

10,720 

327 

419 
894 
1.994 
430 
551 

594 

401 

322 

11,579 

3,715 

855 
681 
485 
531 
732 

566 
2,559 

672 
2.624 
1,025 

10,096 
854 
706 
434 
223 

913 

2,556 

892 

340 

5,988 
459 
638 
232 
711 

1.107 
927 
866 
314 
433 


1 
1 




7 
2 
10 
5 
122 

5 
7 

34 

293 

2 

4 

1 
3 
2 
8 

9 

11 

6 

244 


4 

28 

9 

12 

348 

U 
24 
49 
66 
12 

16 

7 
10 


86 
289 

70 
180 
403 

68 
205 

225 

1,069 

71 

77 
136 
153 

40 
109 

178 

325 

350 

2,719 

57 

52 
240 
443 

84 
136 

114 
65 
107 
3,654 
677 

218 
122 
112 
86 
141 

114 
499 
130 
661 
238 

2,761 

231 

200 

93 

34 

152 

751 

215 

54 

1,259 
195 
118 
51 
141 

295 
157 
284 
79 
165 


592 
949 
728 
751 
916 

189 
559 

1,334 

2,421 

272 

707 
346 
861 
192 
209 

683 

704 

946 

6,485 

250 

330 
515 
1,383 
310 
278 

367 

254 

198 

6,548 

2,582 

561 
491 
328 
506 

555 

380 
1,777 

408 
1,624 

554 

6,209 
556 
471 
306 
166 

616 

1,289 
578 
270 

3,865 
228 
461 
161 
500 

736 
675 
539 
220 
252 


90 
24 
135 
64 
62 

40 
133 
231 

377 
14 

233 
17 
62 
12 
50 

130 

72 

33 

204 

14 

18 
101 

41 

7 

112 

86 

61 

4 

303 
89 

55 
19 
21 

17 
20 

36 
279 
110 
240 
206 

260 

23 

20 

25 

6 

121 

76 

61 

5 

228 

15 

36 

6 

35 

44 

52 

31 

4 

7 






5 
2 


1 




2 




6 




3 

1 
1 

4 


15 


14 




2 




2 
3 

5 
1 

2 


8 




8 


Jt Park 


16 


FaUon 


3 




2 






7 






1 


3 






1 






3 

3 

2 

3 

63 


11 

17 

16 

44 

919 

5 

16 
20 
98 
14 
13 

9 
15 

6 
621 
217 

18 
32 
15 
15 
14 

20 
59 
12 
57 
6 

475 

25 

9 

4 

11 

15 

343 

27 

8 

279 
8 

10 
6 

22 

15 

23 

3 

5 
1 


1 




2 
1 


6 


rk Ridge 


12 




13 




5 


81 




1 








2 
8 

19 
10 

7 

15 

5 

7 

353 

118 

6 
1 

2 
2 


1 






4 

8 
4 
1 


6 






2 




1 
1 

1 






3 




2 






1 










>ckford 


8 
2 


51 
21 

1 
1 
2 
2 
1 

2 
2 


41 




9 




6 






15 


3selle 


1 


( 




3 






1 




1 
2 
1 


3 
23 

9 
28 
17 

264 
4 
3 
3 

3 

3 

62 

8 

3 

259 
12 
3 

4 

7 

8 
9 

5 
2 

3 


IC 




18 








2 


12 






4 




11 

1 
1 

1 


50 

2 


6( 












2 










1 
16 


i 




2 


r 
















13 


26 


5< 








1 


5 
3 
4 

3 
3 
2 

1 


i 












Vheaton 






1 




Vilmette ------ 








Vood Dale 








77 



Table 5. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population. 1983 — Continued 



Cily by Slate 



ILLINOIS — Continued 

Woodridge 

Wood River 

Woodstock 

Wonh 

Zion 

INDIANA 

Anderson 

Bedford 

Bloomington 

Carmel 

Clarksville 

Columbus 

Connersville 

Crawfordsville 

Crown Point , 

East Chicago , 

Elkhart 

Elwood 

Evansville 

Fort Wayne 

Gary 

Goshen 

Greenwood 

Grifnih 

Hammond 

Highland 

Hobart 

Huntington 

Indianapolis 

Jeffersonville 

Kokomo 

Lafayette 

La Porte 

Lawrence 

Lebanon 

Logansporl 

Marion 

Martinsville 

Merriilville 

Michigan Cily 

Mishawaka 

Muncie 

Munster 

New Albany 

New Castle 

Noblesville 

Portage 

Richmond 

Schererville 

Seymour 

South Bend 

Speedway 

Terre Haute 

Valparaiso 

Wabash 

Warsaw 

West Lafayette 



Population 



22.366 
12.434 
11,804 
11.706 
17.988 



Cnme 
Index 
total 



896 
864 
637 
393 
1.614 



Modified" 
Crime 
Index 
totAl 



54,632 


3,840 




14,437 


666 




52,036 


2,075 




18,131 


600 




15,151 


1,530 




30.430 


1,960 




16.809 


723 




13,353 


751 




16,417 


329 




39,928 


3,132 




41.183 


2,633 




10.620 


732 




130.091 


7,719 




171,599 


13,613 




152,352 


10,667 




19,713 


504 




19,363 


902 




17,283 


1,057 




93,745 


5.800 




25,962 


1.112 




22,878 


1.012 




16,213 


512 




463,455 


31.302 




21.311 


1,007 




47,272 


2,442 




43,027 


2,438 




21,851 


987 




25,591 


686 




11,448 


301 




17,924 


1,044 




35.950 


2,133 




11.250 


338 




27.627 


1,223 




36,367 


2.803 




38,404 


2.239 




74,338 


4,996 




20,713 


797 




37,208 


2,748 




20.090 


1,415 




12.069 


461 




27,274 


982 




41,396 


2.473 




12,454 


355 




14,643 


854 




108,522 


10.021 




12,675 


482 




61.220 


3,108 




22.191 


1.124 




13.002 


179 




10,620 


458 




21,266 


669 





908 
867 
640 
394 
1,626 



3,851 
668 

2,075 
603 



751 

329 

3.132 



732 
7,804 
13,741 
11.020 

509 

911 

1,057 

5,846 

1,120 

1,015 

514 

31,514 

1,010 

2.475 

2.454 
988 

308 
1,044 

2,133 

1.223 
2.812 
2.252 

5,103 

797 
2,788 
1,439 

466 

1,001 

2,484 

357 

860 

10,073 

482 

3.162 

1.131 

181 

465 

674 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



19 

5 

32 

91 

228 

I 
3 
1 
54 
2 



376 
6 
9 



57 
4 

12 
4 

21 

7 
12 
4 
3 
97 

46 

10 

143 

340 

804 

5 
5 
5 
248 
7 

7 

4 

1.821 

17 

30 

23 

5 

28 

7 
4 



Aggra- 
vated 
assault 



50 



48 
10 
3 

6 

25 

3 

3 

338 

5 
42 
11 

1 



46 
20 
74 
11 
108 



95 
1 
77 
10 
93 

24 
20 
48 
7 
44 

25 

25 

476 

214 

734 

14 
14 
25 
97 
31 

57 
14 
1,886 
21 
31 

33 
18 
55 
2 
14 

26 
1 
28 
57 
30 

168 

2 

94 

92 
24 



5 

24 

233 

15 

100 

35 

1 



Burglar)' 



276 


499 


150 


640 


73 


458 


113 


224 


398 


1,008 



1.305 

106 

303 

71 

205 

284 
115 
153 
49 
857 

362 

81 

1,629 

2.189 

3.060 

80 

137 

107 

1.483 

159 

211 

77 

9.235 

247 

517 

752 
98 

195 
57 

173 

491 
60 
166 
629 
410 

1,251 
103 
435 
303 



207 

420 

55 

166 

2.845 

44 

988 

250 

45 

29 



Larceny- 
Ihcft 



127 



2,217 
528 

1.543 
494 

1.119 

1.575 
555 
522 
238 

1.61S 

2.101 
600 
5,114 
10,134 
3,355 

374 
676 
788 
2.882 
675 

675 

405 

15,123 

536 

1.741 

1,507 
831 
292 
215 
819 

1,495 

253 

780 

1.844 

1.687 

3,149 
504 

2.043 
969 
351 

706 

1,912 

203 

520 

6,225 

359 
1,716 
757 
125 
415 

514 



Motor 
vehicle 
theft 



130 
25 

125 
21 
89 

66 
21 
19 
32 
502 

78 

11 

318 

630 

2,420 

30 
67 
130 



1.025 
238 


46 
8 


52 


3 


12 


2 


2,805 


212 


79 


3 


113 


33 


106 


15 


34 


1 


108 




15 


7 


33 




57 




13 




717 




195 


9 


78 


13 


282 


107 


78 




119 


40 


34 


24 


11 


5 


57 


19 


97 


11 


87 


2 


36 


6 


302 


52 


49 




245 


54 


58 


7 


6 


2 


14 


7 


14 


5 



78 



Fable 5. — Number of Offenses Known to the PoUce, Cities and Towns 10,000 and over in Population, 1983 — Continued 



City by State 



IOWA 



Ames 

Ankeny 

Betiendorf.. 

Boone 

Burlington.. 



Cedar Falls 

Cedar Rapids... 

Clinton 

Council Bluffs. 
Davenport 



Des Moines .... 

Dubuque 

Fort Dodge 

Fort Madison.. 
Indianola 



Iowa City 

Keokuk 

Marion 

Marshalltown . 
Mason City... 



Muscatine.. 
Newton...... 

Oskaloosa . 
Ottumwa .. 
Sioux City . 



Spencer 

Urbandale 

Waterloo 

West Des Moines.. 



KANSAS 



Arkansas City. 

Atchison 

Chanute 

Coffeyville 

Dodge City 



El Dorado... 

Emporia 

Garden City . 
Great Bend... 
Hays 



Hutchinson .... 
Independence . 
Junction City. 
Kansas City... 

Lawrence 

Leavenworth .. 



Population 



Crime 
Index 
total 



45.679 
15,395 
27,249 
12,566 
28,466 

33,434 
110,018 
32,747 
56,289 
102,937 

190,725 
62,226 
29,252 
13,483 
10,812 

50,440 
13,499 
19,489 
26,826 
30,071 

23,372 
15,271 
10,960 
27,328 
81.725 

11,270 
17,837 
75,467 
21,871 



13,500 
11,776 
10,596 
15.626 
18,320 

11,879 
25,764 
18,789 
17,039 
16,767 

41,443 
10,919 
19,857 
164,741 
53,553 
34,638 



1,955 
637 

1,131 
488 

2.029 

1,142 
8,240 
2,459 
3,978 
7,926 

17,742 

3,383 

1,791 

731 

313 

2,404 

558 

635 

1,222 

2,496 

1,244 

786 

676 

1,432 

5,415 

563 

874 

5,274 

1,319 



611 

523 

351 

1,217 

1,327 

512 

1,370 

1.456 

851 

501 

2,722 
454 
2,099 
16,671 
3,597 
2,029 



Modified* 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



1,965 
639 

1.133 
491 

2,043 

1,148 
8,273 
2,465 
4,016 
7,984 

17,979 

3,418 

1,804 

733 

317 

2,421 

561 

639 

1,230 

2,502 

1,246 
791 
682 

1,450 

5,435 

563 

878 

5,302 

1,335 



612 

529 

351 

1,229 

1.335 

518 

1,397 

1,470 

851 

501 

2,741 
459 
2,122 
16,788 
3,658 
2,054 



Forcible 
rape 



43 



Robbery 



13 
2 

21 
142 

17 
5 



6 

4 
10 

3 
19 

3 

83 

14 

62 

196 

412 

20 

24 

2 



Aggra- 
vated 
assault 



5 
2 
6 
11 
44 



7 
12 
6 
3 

57 
5 
84 
649 
52 
43 



Burglary 



146 
36 

5 

6 
116 

31 

89 

II 

173 

639 

363 

28 

65 

12 

6 

93 
11 

5 

78 
179 

7 
2 

62 

6 

175 

2 

55 

105 

50 



37 

108 

39 

9 

72 
20 
155 
1,178 
144 
118 



Larceny- 
theft 



316 

117 

212 

32 

399 

155 

1.844 

451 

980 

2.332 

3,806 

783 

297 

106 

41 

339 
139 
235 
315 
377 

221 
109 
147 
405 
1,491 

86 

168 

1,640 

294 



103 
134 
102 
321 
271 

121 
316 
286 
201 
93 

754 
110 
454 
5,134 
792 
581 



Motor 
vehicle 
theft 



1,414 
455 
880 
427 

1,403 

924 
5,872 
1,881 
2,514 
4,494 

12,336 

2,367 

1,289 

575 

249 

1,857 
380 
380 
777 

1, 

962 
632 
436 
937 
3,487 

454 

605 

3,264 

915 



450 
356 
229 
799 
913 

279 
952 
996 
570 
386 

1,760 
301 
1,332 
8,323 
2,389 
1,213 



66 
21 
23 
20 
80 

28 
326 

92 
221 
214 

732 

181 

106 

35 

17 

80 
21 
13 
42 
110 

47 
39 
21 
73 
199 

21 
37 
150 

52 



10 
2 
2 
3 

14 

6 
33 

6 
38 
58 

237 

35 

13 

2 

4 

17 
3 
4 



2 
5 
6 
18 
20 



4 
28 
16 



15 


1 


15 


6 


11 




25 


12 


67 


8 


26 


6 


49 


27 


48 


14 


IS 




8 




64 


19 


13 


5 


52 


23 


,202 


117 


200 


61 


67 


25 



79 



Table 5. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1983 — Continued 



Cily by Slate 



Population 



Crime 
Indent 
total 



Modified* 
Crime 
Index 
tola) 



Murder 
and non- 
negligenl 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
thefl 



Motor 
vehicle 
Ihefl 



KANSAS — Continued 

L^jwood 

Lenexa 

Liberal 

Manhattan 

McPherson 

Merriam 

Newton 

Olalhe 

Ottawa 

Overland Park 

Parsons : 

Pittsburg 

Praine Village 

Salina 

Shawnee 

Topeka 

Wichita 

Winfteld 

KENTUCKY 

Ashland 

Bowling Green 

Covington 

Danville 

Elizabethtown 

Erlanger 

Fort Thomas 

Frankfort 

Glasgow 

Henderson 

Hopklnsville 

Jeffersontown 

Lexington 

Louisville 

Madison ville 

Mayfield 

Middlesboro 

Murray 

Newport 

Owensboro 

Paducah 

Radchff 

Richmond 

Saint Matthews 

Somerset 

Winchester 



13.664 
19.041 
15.338 
33.470 
12.077 

10903 
16.709 
37.952 
11.286 
83.811 

13.260 
19.327 
25.235 
42.873 
30.396 

119,504 

287.807 

10.991 



27.581 
39.661 
49.873 
13.180 
15,657 

14,739 
16.241 
26.438 
13,219 
25,271 

27,665 

14,471 

207.126 

304.254 

17.284 

10.958 
12.294 
14.506 
21,906 
54,910 

29,800 
14,771 
22,135 
13.376 
10.861 
15,525 



321 

707 

1,041 

1,583 

292 

1,004 
592 

1.651 
422 

3.932 

503 

950 

537 

2.264 

1.151 

8.350 

22,303 

324 



1.840 

2.463 

4.192 

587 

864 

800 
177 
978 

lis 

1.281 

1.671 

731 

13.826 

19.216 

786 

290 

507 

419 

1,875 

3,416 

2,043 
662 
927 

1.064 
397 
659 



322 
709 

1.594 
293 

1.004 

595 

1.668 

3,943 

503 

952 

538 

2,293 

1,166 

8.393 

22,470 

326 



1.846 
2.468 

587 
877 

803 
180 
982 
118 
1,286 

1,678 

731 

13,916 

19,451 

786 

292 

507 

421 

1,878 

3.436 

2,070 
662 
930 

1,064 
402 
666 



51 
161 



1 
7 
9 
12 
2 

12 
10 
19 
2 
40 

4 
11 

5 
18 
14 

257 

534 

3 



26 
38 

135 



7 
2 
9 
2 
15 

50 

13 

349 

1,375 



17 

43 

80 

3 

104 
19 
77 
16 
80 

14 
37 
13 
36 
50 

373 
664 



158 

132 

241 

50 

60 

69 
9 

98 
5 

43 

98 

13 

547 

622 

39 

2 
28 
28 
166 
66 

40 
50 
124 
21 
13 
22 



138 
186 
262 
382 

25 

179 
107 
410 
33 
715 

80 
281 
139 
458 
240 

1.985 

5.262 

56 



505 
456 
1,164 
161 
147 

120 
28 

179 
27 

265 

417 

158 

3,708 

6,193 



68 
170 

48 
517 
901 

551 
129 
168 
113 
95 
103 



165 
459 
694 

1,047 
253 

641 
441 

1,059 
356 

2.859 

388 
585 
369 
1.682 
769 

5.415 

14.674 

245 



1.068 

1.671 

2.356 

352 

597 

565 
131 
665 
75 
901 

1.042 

508 

8.407 

9.603 

625 

204 

252 

320 

1,021 

2,256 

1.296 
433 
566 
875 
271 
473 



7 
36 
29 
51 

9 

63 
14 
77 
13 
225 

13 

31 

8 

61 

75 

264 

982 
11 



80 

148 

271 

15 

40 

36 

6 

25 

7 



18 
125 
146 

95 
38 
56 
42 
II 
43 



51 


5 


50 


7 


33 




713 


90 


1.296 


235 


20 




12 


2 


51 





80 



able 5. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1983 — Continued 



City by State 



LOUISIANA 



astrop 

aton Rouge.. 

■ogalusa 

ossier City... 
Irowley 



.unice .... 
ranklin.. 
rrettia.... 
tarahan . 
iouma ... 



ennings 

Lenner 

^fayette 

ake Charles . 
<linden 



Monroe 

Morgan City.. 
4atchitoches .. 
4ew Iberia .... 
Jew Orleans.. 



•ineville 

tuston 

.hreveport.. 
lulphur 
'allulah 



"Vest Monroe 
Westwego 



\ubum 

\ugusta.. 
Bangor... 

Bath 

Biddeford 



Brunswick 
Caribou .. 
Gorham... 
Lewiston... 
Orono 



Portland 

Presque Isle.. 

Saco 

Sanford 

Scarborough. 



South Portland.. 

Waterville 

Westbrook 

Windham 

York 



Population 




16,279 
231,608 
17,835 
53,748 
17,075 

13,126 
10.201 
21,725 
11,930 
34,530 

13,130 
70,002 
84,025 
79,914 
15,987 

59,536 
17,125 
17,624 
34,531 
589,508 

12,566 
21,752 
205,832 
20,834 
10,464 

15,654 
13,196 



23,589 
22,143 
32,274 
10,425 
20,014 

17,737 
10,106 
10.299 
41,366 
10,156 

62,850 
11,393 
13.189 
18,398 
11.609 

23.048 
18,100 
15,252 
11.461 
10.089 



Cnme 
Index 
total 



Modified' 
Crime 
Index 
total 



855 

24,848 

886 

3,405 

527 

994 
583 

1.731 
398 

2.196 

635 
3.519 
7.380 
4.679 

542 

3.948 

701 

880 

1.307 

44.523 

484 

796 

19.329 

1,031 

414 

810 
716 



1,126 

1,317 

1,950 

522 

780 

744 
252 
196 
2,761 
257 

6,706 
313 
609 
759 
389 

1,269 
876 
607 
599 
207 



Murder 
and non- 
negligent 

man- 
slaughter 



855 

25,005 

887 

3.423 

529 

997 
583 

1.734 
400 

2.203 

635 

3.531 

7.428 

4,690 

544 

3,958 
702 
891 

44,774 

484 

796 

19.495 

1.038 



811 
717 



1,126 

1.323 

1.974 
526 
788 

755 
256 
197 
2.767 
282 

6.794 
313 
616 
769 
395 

1.278 
889 
614 
606 
21ll 



Forcible 
rape 



5 

1 

211 



141 
4 
19 

2 

3 
3 
15 
2 
9 



Robbery 



5 
536 



2 

133 

1 



11 

197 

97 

10 

50 
13 
8 

30 
4.550 

4 

5 

463 



Aggra- 
vated 
assault 



34 



Burglary 



36 

2.772 

53 

434 

77 

84 
66 

112 
35 

151 

128 
107 
472 
132 
174 

425 

10 

76 

15 

2.752 

22 
111 
955 
76 
96 

64 
34 



21 
23 
1 

44 

25 

2 

5 

100 

3 

385 

7 

8 

21 

5 

13 

54 

8 

6 

9 



Larceny- 
theft 



305 
6.570 
227 
484 
175 

290 
148 
442 
80 
642 

110 

739 

1.606 

1.058 

96 

1.171 

245 

179 

378 

10.782 

144 

123 

5,430 

265 

59 

115 
219 



237 
206 
300 
69 
204 

150 
63 

70 

723 

49 

1,797 
46 
139 
146 
93 

168 
192 
142 
204 
53 



Motor 
vehicle 
theft 



500 

13,364 

530 

2,209 

237 

592 
355 
973 
248 
1,253 

377 
2,146 
4,745 
3,191 

247 

2.131 

389 

588 

851 

20.847 

301 

537 

11.505 

643 

233 

614 
403 



820 

1.019 

1,498 

413 

492 

534 
174 
106 
1,819 
196 

4,073 
243 
420 
545 
265 

1,029 
584 
416 
359 
128 



10 

1,139 

52 

202 

28 

1 
4 
105 
23 

77 

13 
421 
308 
180 



134 

44 

16 

27 

4,845 

12 
18 
811 
46 
12 



36 
45 
100 
31 
35 

32 
13 
14 
79 
9 

339 
13 
29 
39 
23 

50 
27 
36 
26 
12 



157 

1 

18 

2 



12 

48 

11 

2 

10 

1 

U 

251 



166 

7 



6 

24 
4 



11 

4 

1 

6 

25 



7 
10 
6 

9 
13 
7 
7 
4 



81 



Table 5. — Number of Offenses Kno?ni to the Police, Qties and Towns 10,000 and over in Population, 1983 — Continued 



City by Sutc 



Populiition 



Crime 
Index 
loul 



Modified" 
Crime 
Index 
total 



Murder 
and non- 
neghgenl 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra 
vatcd 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



MARYLAND 

Aberdeen 

Annapolis 

Baltimore 

Cambridge 

Cumberland 

Frederick 

Greenbelt 

Hagerstown 

HyattsviUe 

Laurel 

Salisbury 

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

MASSACHUSETTS 

Acton 

Adams 

Agawam 

Amesbury 

Amherst 

Andover 

Arlington 

Alhol 

Auburn 

Barnstable 

Bedford 

Bellingham 

Belmont 

Beverly 

Billerica 

Boston 

Bourne 

Braintree 

Bridgewater 

Brockton 

Brookline 

Burlington 

Cambridge 

Canton 

Chelmsford 

Chelsea 

Chicopce 

Clinton 

Danvers 

Dedham 

Dennis 

Dracut 

Duxbury 

East Bridgewater 

Easthampton 

East Longmeadow 



11.811 
32.384 
805.527 
12,010 
26,713 

27,741 
16,331 
34,961 
12,808 
12,379 

16,783 
11,608 
4,827 



17,677 
10455 
26,458 
14,054 
33.434 

26,545 
48,589 
10,691 
14.931 
30.987 

13.150 
14.403 
26.258 
37,334 
36,967 

566.551 
14.041 
36.488 
17.296 
95.630 

55,097 
23,651 
96,006 
18,265 
31,355 

25,591 
55,420 
12,751 
24,231 
25,290 

12.424 
21.319 
11.888 
10,021 
15,652 

12,985 



879 

2,891 

68,667 

839 

923 

2,442 
936 

1,737 
754 
897 

1,532 
556 

272 



510 
257 
1,016 
256 
720 

824 
889 
170 
465 
3,122 

310 

436 

555 

1,426 

835 

67,302 

833 

1,940 

364 

6,344 

3,291 

1,538 

7,573 

494 

980 

2,211 
2,101 
407 
1,236 
1,196 

671 
789 
380 
231 
180 

376 



902 

2,950 

69,288 

845 

946 

2,447 

1.788 



1,542 



510 
260 
1,017 
256 
721 

831 
895 
174 
467 



320 
571 
559 
1,449 
835 

67.493 

844 

1.944 

367 

6.488 

3.314 

1.538 

7.599 

522 

992 

2.363 
2.103 
407 
1.247 
1.196 

677 
822 
384 
233 
180 

381 



3 
201 

2 



90 



6 

20 

497 

6 

5 

7 
3 
I 
9 
6 

9 
8 
3 



4 
2 
2 

367 
I 
8 
2 

22 



49 

143 

9.167 

17 

10 

65 
30 
48 
30 
28 

27 
31 
23 



6 
11 
25 

4 

6.713 

7 

24 

1 

162 

114 

19 

448 

9 

6 

161 

30 

6 

12 

5 

1 
2 
2 
6 
3 



39 

328 

6,267 

87 

13 

423 
16 
91 
53 
14 

37 
13 

7 



56 

7 
36 

26 
87 
19 
12 
207 

22 
16 
20 
25 
93 

4,195 

56 

95 

33 

636 

153 
12 

428 
46 
28 

276 
81 
24 
17 



205 
638 
14.547 
163 
107 

335 
194 
413 
160 
151 

376 
161 
81 



122 
67 

205 
81 

201 

239 

248 

58 

148 

1.121 

71 
177 
153 
397 
199 

11,471 

291 

248 

110 

1,748 

864 
243 
1,639 
102 
249 

553 
658 
138 
151 
185 

289 

287 

146 

57 

92 



524 

1,660 

33,528 

549 

762 

1,534 
548 

1,120 
443 
638 

1,021 
299 
141 



301 
171 
657 
128 

445 

474 

448 

73 

216 

1,558 

180 
199 
313 
775 
411 

26,419 

445 

830 

195 

2,589 

1.686 
871 

3.299 
261 
594 

546 
1.125 
207 
746 
611 

326 
338 
197 
121 

47 



56 
99 
4.460 
15 
26 

77 
145 
63 
59 
60 

62 
44 
16 



35 
10 

88 
39 
33 

79 
89 
16 

84 
198 

36 
38 
54 
202 
126 

18,047 

33 

735 

23 

1,182 

465 

391 

1.711 

76 

98 

663 
199 
25 
306 
394 

24 
125 
25 
34 

24 



251 



82 



able 5. Number of Offenses Known to the Police, Qties and Towns 10,000 and over in Population, 1983 — Continued 



City by Slate 



MASSACHUSETTS — Continued 



Population 



Crime 
Index 
total 



16,718 
37,372 
92,863 
23,800 
39,597 

14,157 
65,663 
18,287 
17,957 
11,296 

12,245 
47,131 
20,429 
13,361 
12,744 

16,558 
11,205 
63,235 
34,550 
29,749 

16,419 
18,304 
11,324 
53,792 
13,543 

20,220 
30,916 
21,085 
10,276 
58,697 

30,127 
36,863 
16,487 
23,507 
11,950 

26,037 
29,621 
28,034 
99,061 
16,017 

84,150 
18,031 
29,324 
20,207 
21,213 

10,611 
12,288 
11,524 
12,821 
29,618 



Modified* 
Crime 
Index 
total 



373 
1,556 
5,804 
1,156 
1,609 

310 
2,412 
511 
299 
140 

56 

2,706 

758 

189 

101 

442 

363 

4,503 

1,413 

525 

539 
517 
221 
2,611 
343 

345 
427 
944 
257 
1,662 

595 
1,870 
473 
378 
123 

672 
816 
524 
5,717 
652 

2,693 
692 

1,394 
406 
823 

245 
229 
327 
337 
571 



Murder 
and non- 
negligent 

man- 
slaughter 



373 
1,594 
6,049 
1,184 
1,635 

310 
2,420 
523 
299 
140 

56 

2,706 

758 

189 

104 

450 

367 

4,532 

1,425 

525 

541 
525 
222 
2,611 
343 

354 
429 
973 
259 
1,662 

617 

1,883 

473 

123 

684 
816 
525 
5,869 
653 

2,706 
695 

1,399 
414 
840 

249 
231 
333 
339 
571 



Forcible 
rape 



Robbery 



2 

26 

171 

4 

29 



Aggra- 
vated 
assault 



6 

1 

136 

13 



23 

9 

3 

238 

7 



11 
59 
353 
51 
59 



142 

14 

30 

5 

2 

230 

10 

7 
4 

54 

24 

358 

54 



Burglary 



4 

40 

10 

270 

31 

9 

10 

128 

4 
124 

16 
64 
55 
12 
4 

36 

9 

2 

517 

24 

151 
80 
74 
1 
47 



Larceny- 
theft 



Motor 
vehicle 
theft 



147 
347 
1,985 
478 
375 

59 
495 
148 
120 

46 

34 
849 
195 
52 
25 

156 
92 
1,292 
380 
159 

79 
153 

92 
631 
105 

99 
80 

225 
32 

507 

228 

339 

104 

84 

64 

202 

168 

80 

2,091 

177 

716 
156 

323 
123 
232 

85 
56 
62 
96 
104 



156 

773 

2,568 

521 

988 

207 

1,409 

303 

106 

73 

19 

1.142 

463 

123 

63 

191 
226 
1,447 
846 
313 

426 
292 
83 
981 
157 

215 
247 
501 
203 
624 

267 
988 
233 
199 
49 

305 
499 
393 
2,251 
391 

1,459 
415 
875 
195 
477 

137 
149 
199 
177 
293 



54 
349 
698 

99 
139 

34 

330 

42 

24 

9 



412 -. 

85 .. 

6 .. 
6 

34 
20 
1,243 
117 
50 ,, 

26 
19 
29 

675 . 
46 

16 
76 
85 
17 
374 , 

73 
455 
72 . 
76 
3 , 

106 
128 

46 
603 

51 

319 
32 

101 
65 
57 

10 
13 
32 
30 
147 



38 

245 

28 

26 



4 
29 
12 



9 
2 

29 
2 



22 
13 



1 

152 

1 

13 
3 
5 



83 



Table S. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1983 — Continued 



Cily by Stale 



Population 



Crime 
index 
totaJ 



Modified* 
Cnme 
Index 
total 



Murder 
and non- 
negligenl 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larccny- 

Ihcfl 



Motor 
vehicle 
theft 



MASSACHUSETTS — Continued 

Oxford 

Palmer 

Peabody 

Pembroke 

Pittsfield 

Quincy 

Reading 

Revere 

Salem 

Saugus 

Scituate 

Seekonk 

Sharon 

Shrewsbury 

Somerset 

SomerviUe 

Southbridge 

South Hadley 

Spencer 

Springfield 

Stoneham 

Stoughton 

Sudbury 

Swampscott 

Swansea 

Taunton .-. 

Wakefield 

Walpole 

Wareham 

Wayland 

Webster 

Wellesley 

Westboro 

Westfield 

Weslford 

Weston 

Westport 

West Springfield 

Westwood 

Weymouth 

Wilbraham 

Wilmington 

Winchester 

Winthrop 

Woburn 

Worcester 

Yarmouth 

MICHIGAN 

Adrian 

Albion 

Allen Park 

Alpena 

Battle Creek 

Bay City 

Benton Harbor 



11,726 
11.487 
46.069 
13.544 
52.293 

84.636 
22.863 
42.628 
38,557 
24,830 

17,432 
12,342 
13,684 
22,729 
18,952 

77,915 
16,737 
16,573 
10,760 
153,240 

21.563 
26.898 
14.124 
13,971 
15.528 

45,346 
25,039 
18,953 
18,567 
12,278 

14,467 
27,250 
13,701 
36,602 
13,529 

11,250 
13,849 
27,142 
13,250 
55,741 

12,143 
17,613 
20,833 
19.437 
36,779 

162.474 
18.417 



330 
160 

1.462 
678 

2.523 

3,674 
351 
3,773 
1,267 
1,858 

753 
643 
405 
524 
602 

3,958 

225 

339 

156 

13,120 

347 
580 
279 
348 
713 

1,576 
518 
554 

1,388 
213 

365 
440 
421 
965 
384 

205 
482 

1,828 
347 

1,643 

258 
697 
404 
358 
1,136 

12,361 
1,169 



20.825 


1.462 


10.870 


681 


33.576 


1.453 


11.982 


467 


34.897 


5.318 


40.902 


2.498 


14.404 


2.815 



333 
160 

1.467 
678 

2.524 

3,701 
352 
3,779 
1,269 
1,894 

755 
643 
408 
534 
615 

4,096 

227 

339 

156 

13,293 

347 
581 
280 
348 
774 

1.605 
519 
560 

1.390 
213 

368 
440 
425 
974 
393 

209 
489 

1.845 
355 

1.676 



697 

421 

358 

1,196 

12.566 
1,172 



153 



6 

12 
4 

98 
9 
5 

484 

6 
3 
1 
5 
6 

39 
2 
4 



4 
26 

5 
18 

1 
3 
5 
6 
19 

525 
17 



4 

25 

2 

129 

29 
103 



5 

3 

43 

28 

90 

183 
17 

319 
60 
58 



33 
26 
19 

164 

21 

10 

11 

2,323 

14 
17 
15 
5 
54 

97 
21 
33 
59 
10 

13 
10 
14 
43 
26 

2 
42 
93 

6 
37 

10 
41 
16 

22 
65 

551 
123 



35 

33 

20 

5 

244 

41 
445 



115 
70 
457 
144 
850 

812 
108 
966 
525 
286 

221 
103 
119 
119 
133 

876 

76 

134 

100 

4,024 

91 
130 
65 
91 
156 

351 
171 
116 
564 
57 

73 

69 

117 

308 



59 
113 
398 

95 
522 

58 
199 
121 
102 
245 

4,336 
385 



228 

115 

451 

54 

1,473 

467 
852 



178 

61 

670 

419 

1.368 

1,893 
192 

1.187 
378 
985 

415 
407 
218 
310 
425 

1.700 
98 
177 
34 

4,895 

127 
303 
177 
200 
325 

849 
232 
295 
714 
134 

237 
334 
240 
534 
261 

137 
286 
1,118 
196 
811 

173 
367 
227 
171 
502 

5,622 
590 



1,172 
511 
739 
397 

3.323 

1,874 
1,324 



28 

18 

264 

84 

153 

687 

29 

1,218 

280 

503 

41 

125 
25 
53 
21 

1,097 
17 
13 
11 

1,225 

109 

124 

19 

46 

172 

229 
91 

104 
44 
10 

36 
25 . 
46 
69 
15 

7 

35 
181 

44 
248 

15 
84 
31 
55 - 
303 

1,253 
45 



19 
15 

215 
6 

117 

65 

62 



84 



able 5. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1983 — Continued 



City by Stale 


Population 


Cnme 
Index 
total 


Modified* 
Cnme 
Iitdex 
total 


Murder 
and non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


Arson* 


MICHIGAN — Continued 


17,986 
12,482 
29.502 
10.005 
47,797 

17,917 
14.829 
70,990 
13,213 
66,512 

1,176,968 
37,647 
10,692 
47,347 
14,111 

156,824 
34.786 
14.299 
35,052 
24,615 

23,979 
178,470 
12,203 
10,630 
10,374 

11,084 
10,219 
27,276 
25,682 
39,049 

20,294 
29,923 

123,606 
44.309 

102.921 

22.935 
12.100 
28,209 
36,417 
23,121 

18,485 
26.938 
23.252 
10,574 
39,819 

12,861 
21,638 
14.025 
37,556 
12,617 

24,424 
53,438 
76,049 
14,174 
38,268 


656 
1,119 
1,998 

885 
2,000 

785 
624 

4,293 
272 

3,624 

151,832 

2,853 

356 

1,324 

952 

21,844 

1,703 

911 

1,595 

1,117 

876 
16,917 
445 
224 
605 

325 

450 

4.552 

1.099 

4,170 

986 
1,818 
9,965 
3,606 
4.968 

1,008 

834 

1,461 

1,307 

861 

1,987 

1,459 

958 

353 

5,046 

1,067 

787 

209 

1,467 

1,237 

2,277 
4,270 
8,774 
889 
1,764 


156,031 
22,219 

17,048 

10,064 
5,008 


1 


4 
3 
13 
2 
8 

2 
2 

22 
2 

20 

1,514 
4 


5 
29 
27 

5 
21 

7 
14 
63 


33 

158 

105 

9 

57 

28 
14 

202 
8 

143 

6,511 
96 

5 
24 

6 

2,269 
57 
42 
49 
90 

57 

1,178 

5 

7 
5 

14 

8 

433 

32 
456 

30 

54 

586 

154 

180 

62 
33 
23 
37 
51 

173 

64 

9 

8 

660 

45 
24 
9 
22 
141 

114 
109 
1,017 
25 
41 


169 
309 
468 
163 
492 

202 

174 

981 

63 

1,263 

45,593 

537 

71 

283 

195 

7,031 
344 
184 
524 
348 

207 

4.482 

72 

77 

105 

90 
91 

1.020 
231 

1,018 

232 
338 

2,914 
893 

1,178 

130 
202 
315 
178 
219 

502 

403 

149 

94 

1,390 

292 

94 

61 

269 

359 

593 
906 
2,503 
232 
40C 


365 
592 

1,295 
685 

1,275 

499 
380 

2,690 
185 

1.592 

45.424 

1,823 

268 

958 

713 

10,616 

1,200 

601 

835 

595 

566 

9,804 
337 
133 
438 

204 
333 

1,115 
786 

2,489 

677 
1,350 
5,854 
1,984 
2,682 

767 

424 

1,041 

1,056 

521 

1,143 
827 
762 
236 

2,728 

678 
639 
122 
1,122 
590 

1,205 
2,663 
4,456 
596 
1,201 


79 
28 
89 
21 
146 

47 
40 

334 
14 

517 

35,288 

320 

8 

36 
35 

919 
76 
68 

152 
42 

35 

637 

22 

5 

49 

11 
10 
1,106 
42 
94 

29 

44 

283 

498 

844 

41 
151 

57 
28 
58 

114 
94 
33 
10 

123 

21 
21 
12 
29 
91 

286 

507 

325 

31 

97 










1 




adillac 






1 
















1 










1 
580 


88 

16,922 

73 

4 

15 

3 

778 
21 
12 
23 
31 

8 
598 
6 
1 
8 






4,199 
















8 










lint 


32 


199 
5 
4 
11 
11 

2 

198 

3 

1 


375 














1 










1 
20 






131 






















6 

3 
55 

4 
39 

5 

6 

76 

11 

16 

4 
2 
10 

5 
5 

7 

23 

3 

2 

33 

14 
1 

4 
12 
11 

22 

24 

122 

3 

A 








5 

796 

4 

69 

13 
26 
247 
66 
67 

4 
22 
15 
2 
6 

44 

47 

2 

2 

106 

16 

8 

13 
41 

55 

60 

335 

2 

21 




iiighland Park 


27 










5 
















5 


9' 








1 


4( 














1 

4 
1 












Mount Clemens 










1 
6 

1 

1 

4 

2 

1 

16 








Niles 




































Shelby Township 







85 



Table 5. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1983 — Continued 



City by State 



MICHIGAN — Continued 

Southgate 

Sterling Heights 

Taylor 

Trenton 

Van Buren Towtiship 

Walker 

Warren 

Wayne 

Westland 

Woodhaven 

Wyoming 

Ypsilanti 

MINNESOTA 

Albert Lea 

Anoka 

Apple Valley 

Austin 

Bemidji 

Blaine 

Bloomington 

Brainerd 

Brooklyn Center 

Brooklyn Park 

Bumsville 

Cloquet 

Columbia Heights 

Coon Rapids 

Cottage Grove 

Crystal 

Duluth 

Eagan 

Eden Prairie , 

Edina 

Fairmont 

Faribault 

Fergus Falls 

Fridley 

Golden Valley 

Hastings 

Hibbing 

Hopkins 

Inver Grove Heights 

Lakeville 

Mankato 

Maple Grove 

Maplewood 

Marshall 

Minneapolis 

Minnetonka 

Moorhead 

Mounds View 

New Brighton 

New Hope 



Population 



31,462 
107,118 
76.161 
22,342 
18,591 

14,836 
158,393, 
20,778 
83,223 
10,701 

58,561 
23,606 



19,566 
15,858 
22,250 
23,444 
10,642 

29,156 
83,304 
11,697 
31,802 
44,146 

36,408 
11,349 
20,336 
36,568 
19,354 

26,041 
94.680 
21,142 
16,590 
46,937 

11.704 
16,570 
12,802 
30,509 
23,119 

13.074 
21.464 
15,613 
17,503 
15,060 

29,242 
20,935 
27,505 
11,381 
377,850 

39,433 
30.535 
12.864 
23,744 
23,575 



Cnmc 
Index 
total 



1.787 

5,162 

5,341 

765 

914 

867 

10,580 

1,606 

5.029 

596 

2.987 
2,160 



853 

831 

468 

1,286 

1.181 

1.331 
3,835 
805 
1,677 
2,209 

1.928 
389 
728 

1,641 
518 

923 

4.363 

692 

602 

1,635 

361 
754 
497 
1.727 
822 

358 
467 
748 
774 
582 

2.170 

472 

1.506 

322 

34,948 

1,489 

1. 201 

528 

734 

582 



Modified" 
Cnmc 
Index 
total 



5,210 



10.674 



Murder 
and non- 
negligcnt 

man- 
slaughter 



855 

843 

472 

1.289 

1.185 

1.337 
3,855 
807 
1,679 
2,224 

1,933 
390 
740 

1,648 
522 

928 

4,419 

702 

603 

1,640 

365 
754 
501 
1,732 
829 

359 
468 
749 
780 
600 

2,173 

472 

1,514 

324 

35,103 

1,494 

1,209 

536 

740| 

585 



Forcible 
rape 



Robbery 



6 

7 

4 
9 
2 
5 
29 

7 
3 
1 



2 

5 

1 

316 

2 
1 
3 
3 
7 



27 

40 

109 

2 

15 



215 
31 
79 
9 

38 
109 



Aggra- 
vated 
assault 



2 
3 
2 

7 
4 
14 

2.001 

6 
3 
5 
I 
2 



51 

301 

218 

22 

47 



420 
70 

139 
17 

72 
250 



69 
10 
9 
16 

2 

6 

I 

26 

II 

2 
4 

II 
8 

32 

25 
5 

15 

4 

1.154 

9 
5 
6 
5 
2 



Burglary 



280 
806 
1.652 
202 
212 

182 
1.766 

482 
1.164 

104 

630 

454 



185 
164 
114 
320 
169 

223 
684 
177 
396 
637 

438 

75 

216 

287 

81 

186 

1,030 

184 

96 

372 

54 
163 

64 
346 
241 

54 

63 

149 

255 

155 

492 
95 

364 

27 

10.887 

354 
249 
157 
184 
133 



Larceny- 
Ihefl 



1,203 

3.406 

2.556 

485 

514 

646 
6.282 

828 
2.973 

398 

2,108 
1,197 



619 
589 
326 
881 
931 

1.030 
2,893 
580 
1.157 
1.348 

1.389 
278 
445 

I.26I 
407 

693 

2.922 

475 

469 

1.201 

297 
537 
403 
1.227 
499 

273 
381 
543 
458 
358 

1,589 
341 

1.021 

284 

18.416 

1.049 
897 
327 
491 
411 



Motor 
vehicle 
theft 



223 
582 
733 
51 
124 

21 

1,855 

186 

647 



65 
114 




123 




36 


2 


58 


12 


13 


4 


64 


3 


39 


4 


55 


6 


204 


20 


38 


2 


98 


2 


108 


15 


77 


5 


24 


1 


44 


12 


58 


7 


13 


4 


27 


5 


277 


56 


20 


10 


19 


1 


33 


5 


7 


4 


42 




27 


4 


106 


5 


52 


7 


26 


1 


19 


1 


37 


1 


47 


6 


32 


18 


57 


3 


75 




87 


8 


5 


2 


2,158 


155 


68 


5 


46 


8 


30 


8 


50 


6 


27 


3 



86 



Table 5. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1983 — Continued 



City by State 



Population 



Cnme 
Index 
total 



Modified' 
Cnme 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



MINNESOTA — Contiiiued 

lew Ulm 

loithfield 

lorth Saint Paul 

lakdale 

•watonna 

lymouth 

.amsey 

■ed Wing 

ichfield 

obbinsdale 

ochester 

oseville 

lint Cloud 

lint Louis Park 

lint Paul 

lakopee :. 

loreview 

mth Saint Paul 

illwater 

irginia 

est Saint Paul 

'bile Bear Lake 

illmar 

inona 

oodbury 

orthington 

MISSISSIPPI 

Ucxi 

rookhaven 

iarksdale 

ieveland 

linton 

3lumbus 

reenville 

reenwood 

renada 

.ulfport L.. 

attiesburg 

ckson 

aurei 

Meridian 

loss Point 

atchez 

xford 

iscagoula 

earl 

upelo 

icksburg 

MISSOURI 

mold 

allwin 

ellefontaine Neighbors 

elton 

erkeley 



14.038 
12,815 
12,178 
12,394 
19,028 

32.199 
10,289 
14,000 
38,559 
14,685 

55,393 
36.474 
43.392 
43.749 
273.913 

10,129 
17,613 
21,648 
12,505 
11,212 

18,901 
23,014 
16,184 
25,520 
10,548 

10.305 



50.835 
11.157 
21,666 
14,922 
15,073 

28,193 
41,722 
20,756 
11,813 
40,793 

40,955 
206,821 
22.603 
47.516 
19.686 

22.848 
10.184 
30.298 
20.918 
24.614 

26.335 



19.159 
13.009 
12.235 
12.845 
16.273 



443 
418 
545 
462 
464 

1.170 
185 
394 

1,339 
563 

2,807 
2,052 
2,439 
1.891 
21.899 

458 
530 
595 
506 
397 

1,043 
771 
656 

1,337 
306 

260 



3.789 
418 
957 
333 
490 

1,921 

3,848 

972 

566 

3,847 

2.579 
14.768 
1.648 
2.052 
1.057 

1.996 
903 

2.816 
466 

1.174 



641 



598 
342 
346 
437 
905 



445 
418 
546 
462 
468 

1.178 
185 
395 

1.344 
568 

2,815 
2,055 
2,451 
1.898 
22.111 

458 
536 
595 
509 
397 

1.046 
775 
657 

1.341 
308 

260 



3.825 
424 
961 
333 
497 

1.924 

3.848 

986 

568 

3,864 

2,581 

14,859 

1,660 

2,057, 



2,000 
903 

2,822 
466 



642 



604 
343 
346 
438 
916 



10 
1 

12 
2 
13 
4 
220 



41 
2 
9 
1 
2 

23 

17 

5 

3 

21 

24 

111 

6 

7 
7 

17 
3 

17 
2 
3 



12 
12 

10 
10 
16 
14 
681 

1 
2 

10 
3 
1 

19 
9 
1 
9 
1 



78 
4 

17 
2 
5 

32 

91 

15 

7 

107 

35 
524 
26 
34 
19 

27 
12 
60 
1 
12 



24 

5 

907 

5 

10 
10 

9 

7 

15 
7 
6 
4 
3 



62 


351 


18 


48 


337 


30 


123 


392 


23 


81 


365 


14 


63 


377 


14 


289 


772 


72 


39 


134 


9 


46 


322 


20 


341 


895 


60 


147 


382 


16 


592 


2.063 


89 


467 


1.436 


129 


304 


2.005 


77 


411 


1.330 


127 


005 


11.024 


1,050 


66 


351 


34 


204 


283 


31 


176 


377 


22 


89 


380 


24 


80 


298 


11 


157 


811 


39 


222 


492 


38 


75 


551 


23 


313 


975 


34 


114 


176 


10 



43 



274 



161 
69 
25 
61 

303 



206 



167 


1.100 


2.203 


14 


110 


277 


40 


432 


422 


2 


94 


227 


5 


98 


364 


76 


471 


1.241 


149 


999 


2.457 


45 


256 


609 


55 


167 


321 


127 


1.114 


2,275 


143 


715 


1,592 


384 


4.376 


8,626 


4 


400 


1,167 


84 


549 


1,261 


47 


373 


595 


506 


567 


836 


135 


236 


499 


274 


711 


1,619 


2 


135 


305 


25 


183 


832 



312 



369 
244 
282 
321 
408 



198 

g 

33 

4 

16 

77 
122 
36 
10 
198 

64 
708 

41 
109 

15 

39 
17 

135 
19 

113 



87 



Table 5. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1983 — Continued 



aiy by Stale 



Population 



Crime 
Index 
total 



Modified* 
Cnme 
Index 
toul 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



MISSOURI — Continued 

Blue Spnngs 

Bndgeton 

Cape Girardeau 

Carthage 

Clayton 

Columbia 

Crestwood 

Creve Coeur 

Excelsior Springs 

Ferguson 

Florissant 

Fulton 

Gladstone 

Grandview ; 

Hannibal 

Hazelwood 

Independence 

JefTerson City 

Jennings 

Joplin 

Kansas City 

Kennett 

Kirksville 

Kirkwood 

Lees Summit 

Liberty 

Maplewood 

Marshall 

Maryville 

Mexico 

Moberly 

Overland 

Poplar Bluff 

Raytown 

Richmond Heights 

RoUa 

Saint Ann 

Saint Charles 

Saint Joseph... 

Saint Louis 

Saint Fetere 

Sedalia 

Sikeston 

Springfield 

University City 

Warrensburg 

Webster Groves 

MONTANA 

Billings 

Bozeman 

Havre 

Missoula 

NEBRASKA 

Alliance 

Beatrice 

Bellevue 

Columbus 

Fremont 



26.292 
18,670 
34.799 
11.265 
14.402 

63.494 
12.991 
12,159 
10.563 
24.951 

56.160 
11,197 
25,240 
24.863 
19,028 

13,092 
113,327 
34,241 
17,309 
39,427 

453,128 
10,263 
17,431 
28,357 
29,070 

16,497 
11.102 
12,978 
10,045 
12,387 

13.760 
19,870 
17,353 
32,157 
11,675 

13,559 
15,755 
37,794 
77,627 
457,262 

15.760 
21.270 
18,873 
134,883 
43,294 

13,976 
23,130 



71.508 
22.590 
11.332 
32.127 



10.073 
13,143 
22,132 
17,682 
24,486 



951 

1,393 

1.824 

480 

859 

4,494 
372 
346 
378 

1.232 

1.099 
382 
773 

1.158 
972 

814 
6.220 
1.357 
1.353 
3,130 

45.388 
455 
595 
961 
916 

551 
761 
501 
295 
413 

379 
1.103 
1,391 
1,037 

570 

616 

1,142 

1,883 

5.647 

50,987 

586 

1,230 

1,243 

10.973 

2.634 

824 
685 



5.307 

1.131 

870 

3.394 



466 

475 
760 
725 
918 



956 

1.393 

1.836 

484 

859 

4,522 
373 
346 
378 

1,236 

1,101 
386 
784 

1,168 
978 

818 
6,269 
1,361 
1,353 
3,148 

45,850 
459 
598 

918 

558 
763 
503 
296 
415 

382 
1.106 
1,408 
1,037 

573 

619 

1,143 

1,900 

5.679 

51.302 

588 

1.242 

1.263 

11.032 

2.654 

827 
691 



1,132 

873 

3,400 



467 
475 
764 
727 
921 



106 
1 
1 



4 

152 



1 

1 

13 

4 
1 
3 

12 
1 

2 
20 

6 
10 

6 

425 
5 
1 
3 
3 

3 
3 
3 
2 



5 
6 
4 
2 
3 

4 
3 
8 
14 

323 

3 
2 
6 
42 
15 

3 
3 



9 
18 
21 

1 
II 

58 
4 
3 
6 

25 

21 
2 
12 
17 
9 

6 
83 

9 
32 
41 

2,876 
4 
1 

15 
18 

5 
15 
2 
1 
3 

6 
23 
20 
15 
17 



16 

23 

49 

3,840 

4 

14 

12 

148 

106 

2 
13 



12 
79 
60 
24 
46 

205 

1 

5 

28 

59 

27 
47 
26 
53 
55 

13 
269 

43 
102 

35 

4,045 
83 
15 
13 
43 

13 
61 
27 



19 
12 
138 
30 
18 

37 

12 

71 

139 

4,146 

6 

43 

14 

168 

99 

12 
32 



179 
257 
391 
153 
209 

968 
59 
58 
90 

358 

204 
68 
219 
279 
222 

178 

1,678 

322 

261 

727 

11.636 

68 

109 

178 

258 

184 
91 

132 
26 
93 

66 
215 
480 
328 
113 

134 

116 

424 

1,633 

14,199 

92 

242 

394 

2,663 

918 

187 
182 



1.452 

135 

90 

507 



703 
905 
1.257 
286 
568 

3,089 
272 
235 
241 
688 

769 
252 
466 
722 
667 

530 

3.813 

936 

797 

2.171 

23.244 
286 
431 
682 
551 

309 
527 
305 
249 
298 

258 
776 
708 
593 
368 

412 

808 

1.235 

3,595 

22,974 

454 

884 

782 

7,525 

1,309 

594 
431 



3,483 
821 
722 

2,655 



47 
129 
73 
16 
25 

151 
35 
43 
12 
89 

74 
12 
46 
75 
18 

85 
355 

40 
150 
149 

3,056 
9 

37 
70 
42 

37 
63 
27 



25 
71 
40 
69 
51 

29 

187 

122 

213 

5.353 

27 
42 
34 
422 
182 

26 
24 



250 



47 
33 
116 
147 
116 



388 
430 
563 
537 
749 



38 
127 



12 
9 
61 
25 
24 



88 



Table 5. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1983 — Continued 



Cily by Slale 



Population 



Cnme 
Index 
total 



Modified* 
Cnme 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



NEBRASKA — Continued 

Grand Island 

Hastings 

Kearney 

Lincoln 

Notfolk 

Noilh Platte 

Omaha 

Scottsbluff 

NEVADA 

Boulder City 

Henderson 

Las Vegas Metropolitan Police Department 

Jurisdiction 

North Las Vegas 

Reno 

Sparks 

NEW HAMPSHIRE 

Berlin 

i^laremom 

Concord 

Derry 

!)over 

Durham 

ixeter 

joffstown 

-fampton 

4udson 

Ceene .'.' 

.aconia 

-ebanon 

^ndonderry 

Manchester 

Merrimack 

^lashua 

Portsmouth 

Rochester 

jalem 

iomersworth 

NEW JERSEY 

\berdeen Township 

\sbury Park 

Atlantic City .■ 

Bayonne 

Belleville 

Bellmawr 

Bergenfield 

Berkeley Heights 

Berkeley Township 

Bernards Township 

Bloomfield 

Bound Brook 

Brick Township 

Bridgeton 

Bndgewater Township 

Burlington 



33,861 
23,505 
21,596 
175,482 
19,679 

24,993 

327,276 

14,435 



10,718 
27,207 

429,080 
47,602 

112,381 
45,551 



13,657 
15,207 
31.677 
19,614 
23,230 

11,119 
11,459 
11,810 
10,889 
14,583 

22,313 
16,254 
11,629 
14,108 
94,695 

16,107 
70,818 
27,351 
22,515 
25,145 
10,815 



17,460 
16,960 
38,894 
66,095 
35,932 

13,988 
26,023 
12,771 
23,476 
13,220 

48,631 
10,387 
54,646 
19,086 
28,847 
10,435 



2,074 

962 

1,111 

9,521 

914 

1,309 

24,259 

977 



424 
1,324 

35,225 
4,165 
8,308 
2,517 



247 
544 
1,583 
798 
840 

319 
450 
465 
627 
476 

1,211 

1.129 

276 

312 

5,616 

384 
2,905 
1,273 
579 
960 
476 



748 

2,596 

14,927 

1,907 

1,525 

428 
700 
156 
824 
262 

1,792 

248 

2,478 

1,477 

533 

516 



2.083 

963 

1.112 

9,549 

917 

1,311 

24,507 

979 



427 
1,334 

35.609 
4.221 
8.345 
2,545 



252 
546 

816 
850 

325 
456 
466 
635 

477 

1,225 

1,138 

280 

5,643 

394 
2,918 
1,291 
579 
972 
480 



751 

2.610 

15.054 

1.932 

1.527 

430 
700 
160 
838 
266 

1,797 

248 

2,507 

1,495 

537 

524 



27 



1 

157 

3 



1 

16 

244 
46 
76 
17 



7 
6 
3 
68 
1 

3 

622 

3 



1 

40 

1,985 

208 

297 

57 



7 

186 

580 

41 

39 

5 

18 

1 

9 
6 

58 
2 

20 

59 
3 

18 



4 

13 

23 

311 

6 

24 

1.584 

15 



7 
25 

1,261 
391 
255 
106 



338 
199 
128 
1,665 
124 

287 

5,393 

156 



113 

414 

11,250 

1,486 

2,030 

491 



50 

92 

343 

261 

117 

90 
99 
71 
172 
143 

213 

347 

57 

71 

1,397 

93 
802 
272 

61 
218 

94 



1.671 
713 
920 

7.071 
753 

953 

15.246 

766 



280 
754 

17.611 
1,804 
5,073 
1,724 



175 
423 
1,122 
471 
662 

223 
302 
352 
399 
300 

928 
650 
192 
218 
3,736 

251 
1,878 
864 
486 
578 
340 



35 


179 


464 


182 


574 


1,475 


375 


2,238 


10,981 


193 


349 


1,061 


64 


262 


839 


8 


107 


265 


20 


201 


412 


2 


44 


100 


17 


231 


526 


4 


82 


157 


94 


352 


968 


3 


60 


175 


185 


632 


1,497 


104 


424 


818 


14 


134 


336 


21 


112 


326 



38 
28 
36 
321 
30 

41 

1,230 

34 



21 

75 

2,800 
221 
568 
119 



17 
18 
70 
42 
38 

4 
14 
18 
40 
15 

49 
54 
17 
20 
344 

26 
149 
63 
30 

127 
27 



53 
144 
703 
259 
316 

43 
49 
9 
33 
12 

316 
8 

134 
63 
42 
36 



89 



Table S. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1983 — Continued 



Clly by State 



Populatton 



Cnmc 
Index 
total 



Modified' 
Cnmc 
Index 
tola] 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Molor 
vehicle 
theft 



NEW JERSEY — ContiDued 

Burlington Township 

Camden 

Caneret 

Cedar Grove Township 

Cheny Hill 

Cinnaminson Township 

Clark 

Cliffside Park 

Clifton 

CoUingswood 

Cranford Township 

Delran Township 

Denville Township 

Deptford Township 

Dover 

Dover Township 

Dumonl 

East Brunswick Township 

East Orange 

East Windsor Township 

Eatontown 

Edison 

Egg Harbor Township 

Elizabeth 

Elmwood Park 

Englewood 

Evesham Township 

Ewing Township 

Fair Lawn 

Fairview 

Fort Lee 

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

Freehold 

Freehold Township 

Galloway Township 

Garfield 

Glassboro 

Glen Rock 

Gloucester City 

Gloucester Township 

Hackensack 

Haddonfield 

Haddon Township 

Hamilton 

Hanunonton 

Hanover Township 

Harrison 

Hasbrouck Heights 

Hawthorne 

Hazlet Township 

Highland Park 

Hillsborough Township 

Hillsdale 



11.764 
86.215 
20.870 
12.800 
69.973 

16.434 
16.932 
21.792 
75.692 
16.169 

24.987 
14,979 
14,612 
23,828 
14,898 

65,549 
18,655 
38,499 
78,146 
21.368 

12,455 
71.327 
19,555 
107,505 
18,692 

24,075 
22,008 
35,264 
32,760 
10,690 

32.992 
12,525 
31,700 
10,060 
19,420 

11,268 
27,224 
14,783 
11,690 
13,327 

45,907 
36,621 
12,556 
16,150 
83,987 

12,081 
12,006 
12,413 
12,368 
18,596 

23,323 
13,608 
19,297 
10,663 



633 

14,054 

583 

272 

4,433 

444 
287 
464 
2,884 
649 

480 
359 
379 
1,808 
602 

3,362 
379 

l,i 

7,020 
800 

791 
2,655 
1,666 
8,749 

771 

1,777 
793 

1,832 
931 
294 

1,557 
624 

1,384 
619 
606 

700 
578 
980 
160 
404 

1,594 

2,126 

317 

834 

3,509 

538 
434 
552 
420 
448 

638 
507 
355 
218 



638 

14.227 

584 

274 

4.458 

445 
292 
464 
2.905 
652 

485 
359 
380 
1.856 
603 

3.399 

379 

1.905 

7,079 

803 

796 
2,669 
1,676 
8,795 

775 

1.783 
795 

1.839 
934 
294 

1,560 
631 

1,388 
622 
606 

712 
578 
990 
160 
407 

1,623 

2,137 

317 

845 

3,541 

543 
436 
555 
422 
449 

646 
517 
359 
218 



9 

107 

3 



24 



2 

1,594 

17 

2 
54 



2 

7 

118 

11 

12 
4 
3 

22 
5 

27 

5 

17 

852 

4 

5 

56 

28 

716 

28 

124 
3 

34 
20 



5 

1,053 

15 

19 

85 

17 

5 

4 

137 

19 

17 
12 
31 
34 



74 
10 
42 
541 
18 

11 
112 

67 
766 

27 

96 
15 
28 
19 
13 

29 
41 
67 
72 
10 

38 
25 
13 
1 
13 



113 

3,800 

180 

72 

917 

196 
46 
115 
514 
125 

95 
125 

43 
325 
137 

939 

78 

407 

2,086 

172 

104 
584 
382 
1,990 
158 

586 
168 
375 
232 
48 

277 
231 
280 
142 
114 

267 

155 

244 

42 

79 

571 

339 

91 

166 

1,025 

147 
119 
134 
81 
87 

132 
109 
102 
49 



471 

4,796 

303 

165 

2.642 

182 
218 
233 
1.630 
424 

333 
176 
285 
1.063 
401 

2,096 

252 

1,275 

2,473 

572 

602 
1,509 
1,024 
3,858 

452 

814 
569 
1,297 
597 
147 

958 
290 
933 
354 
431 

347 
282 
649 
105 
226 

757 

1,276 

192 

575 

2.134 

310 
263 
258 
271 
286 

431 
357 
230 
141 



33 

2.688 

64 

14 

726 

37 

16 

105 

472 

64 

20 
42 
17 
351 
51 

198 

34 

144 

957 

33 

68 

386 

156 

1.356 

105 

148 
36 
82 
61 
78 

247 
50 
70 
32 
47 

37 

104 

36 

9 

73 

177 

353 

32 

58 

172 

60 
30 
117 
57 
59 

46 
16 
17 
16 



90 



ahJe 5. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1983 — Continued 



City by State 



Population 



Cnme 
Index 
total 



Modified* 
Cnme 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



NEW JERSEY — Continued 



lillside Township 

(oboken 

(opatcong 

(opewell Township., 
[owell Township 



rvington 

ackson Township... 
efferson Township.. 

si^ey City 

leansburg 



.eamy 

acey Township 

.akewood 

awrence Township . 
.inden 



indenwold 

ittle Falls Township.. 

ivingston 

odi 

ong Branch 



ower Township 

yndhui^t Township .. 

dadison 

Hahwah Township 

lanalapan Township . 



lanchester Township ... 

lanville 

laple Shade Township . 
laplewood Townsliip... 
larlboro 



iaywtxxl 

ledford Township.. 

ietuchen 

Middlesex 

.Iiddle Township .. 



^iddlelown Township 

»iillbuni Township 

4illvilk 

donroe Township (Gloucester County) 
vlonroe Township (Middlesex County) . 



viontclair 

vioniville Township 

vloi^irestown Township . 

vlornstown 

vlorns Township 



Vlounl Holly 

Vlount Laurel Township.. 
Mount Olive Township ... 

Neptune Township 

Newark 



New Brunswick... 

New Milford 

New Providence . 



21,800 
43,109 
15,787 
10,972 
25,283 

62,545 
26,045 
16,626 
226,583 
10,797 

36,327 
14,365 
38,974 
19,940 
38,437 

18,488 
11,693 
28,538 
24,350 
29,375 

17,328 
20,655 
15,602 
12.337 
18,943 

27,371 
11,435 
20,784 
23.360 
17,213 

10,057 
17,332 
13,986 
13,701 
11,597 

62,738 
19,879 
25,714 
21,938 
16,133 

38,957 
14,558 
15,875 
16,856 
18,775 

10,997 
17,862 
19,081 
28,037 
336,016 

41.929 
17,139 
12,634 



1,491 

2,366 

438 

229 

932 

5,356 
2.315 

531 
17,267 

367 

2,135 
534 
2,566 
1,605 
1,610 

1,084 

477 

942 

1,111 

2,455 

873 
716 
282 
543 
519 

335 
298 
942 
972 
481 

270 
602 
407 
372 
789 

1,516 
731 

1,283 
737 
275 

1,812 
469 
784 

1.329 
572 

395 

690 

650 

1,965 

33,281 

2.741 
398 
175 



1,499 

2,392 

439 

230 

953 

5,427 

2,324 

534 

17,331 

374 

2,144 
537 
2,577 
1,609 
1,621 

1,102 

480 

942 

1,113 

2,475 



717 
282 
556 
523 

343 
306 
951 
976 
486 

270 
615 
409 
375 
789 

1,541 
734 

1,292 
750 
280 

1,818 
471 
788 

1.350 
573 

395 

695 

655 

1,992 

34,089 

2,751 
399 
175 



4 
112 



6 
6 

40 
6 
2 

138 
1 



1 


17 




2 


1 


7 


1 


10 




3 



I 

1 

16 

553 

13 
3 
1 



153 

87 

4 

2 

14 

304 

13 

4 

2,227 

2 

47 

3 

101 

16 

65 

21 

9 

8 

II 

94 



5 

60 

3 

3 
2 
6 
4 



13 
II 

3 

39 
2 
9 

40 

2 

7 

5 

7 

49 

5,287 

128 
7 
1 



63 

115 

7 

8 

54 

421 
42 
18 

973 

25 

85 
3 
81 
20 
64 

87 
1 

14 

18 

190 



14 
19 

83 
3 
17 
20 
26 

56 
26 
15 
85 
14 

1 

19 

24 

195 

3,375 

68 

22 

1 



387 

641 

97 

79 

201 

1,220 
219 
181 

4,416 
99 

456 
122 
733 
276 
308 

281 
126 
112 
237 
661 

287 
148 
55 
101 
107 

106 
50 
213 
262 
152 

82 
96 
97 
66 
176 

468 
197 
387 
308 
102 

430 
142 
108 
342 
151 

148 
186 
198 
579 
7,660 

668 
135 
41 



593 
1,022 
306 
135 
612 

2.313 
1,986 

303 
6,487 

205 

1,200 

389 

1,459 

1,169 

955 

471 
254 
693 
671 
1,371 

523 
433 
211 
375 
348 

201 
221 
551 
560 
288 

145 
459 
272 
275 
552 

854 
485 
796 
332 
129 

1,113 
264 
541 
761 
390 

226 

423 

390 

1,039 

9,281 

1,650 
216 
126 



285 
478 

18 
5 

44 

1,052 
47 
23 

2,989 
34 

334 
17 
174 
122 
210 

213 
71 
115 
171 
127 

32 
122 
8 
47 
40 



6 


8 


21 


8 


150 


9 


72 


4 


26 


5 


34 




31 


13 


18 


2 


12 


3 


33 




87 


25 


38 


3 


66 


9 


54 


13 


11 


5 


167 


6 


33 


2 


111 


4 


79 


21 


15 


1 


n 




56 


5 


30 


5 


83 


27 


7,013 


808 


210 


10 


15 


1 


5 





91 



Table 5. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1983 — Continued 



City by Sulc 



Population 



Crime 
Index 
total 



ModifTcd' 
Cnmc 
Index 
total 



Murder 
and non- 
negligcnl 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



NEW JERSEY — Continued 

North Arlington 

North Bergen Township 

North Brunswick Township 

North Plainfield 

Nutley 

Oakland 

Ocean City 

Ocean Township 

Old Bndge 

Orange 

Palisades Park 

Paramus 

Parsippany-Troy Hills 

Passaic 

Paterson 

Pemberton Township 

Pennsauken 

Pennsville Township 

Pequannock Township 

Perth Amboy 

PhilUpsburg 

Piscataway Township 

Plainfield 

Pleasantville 

Point Pleasant 

Pompton Lakes 

Princeton 

Princeton Township 

Rahway 

Ramsey 

Randolph Township 

Readington Township 

Red Bank 

Ridgefield 

Ridgefield Park 

Ridgewood 

Ringwood 

River Edge 

Rockaway Township 

Roselle 

Roselle Park 

Roxbury Township 

Rutherford 

Saddle Brook Township 

Sayreville 

Scotch Plains 

Secaucus 

Somers Point 

Somerville 

South Brunswick Township 

South Orange 

South Plainfield 

South River 

Sparta Township 

Springfield 

Stafford Township 

Summit 



16,808 
48,421 
22,568 
19,391 
29,411 

13,654 
14,193 
23,871 
52,388 
31,639 

13,947 
26,931 
50,685 
53,155 
140,390 

30,154 
34,328 
14,117 
13,995 
39,224 

16,943 
42,844 
46,179 
13,631 
18,032 

10,843 
12.191 
13,916 
27,095 
13,120 

18,113 
10,944 
12,093 
10,469 
12,956 

25,607 
12,844 
11.290 
20,208 
21,031 

13,591 
19.197 
19,336 
14,300 
30.258 

21,107 

13,911 

10.492 

12.1 

17.417 

16.116 
20.868 
14,600 
13,632 
14,165 

10,397 
21.435 



541 
2,799 
944 
822 
657 

380 
1,326 
1,358 
1,936 
3.600 

352 

3.213 

1.712 

3.341 

11.456 

1.412 

2.941 

505 

385 

1,323 

811 
1,560 
3,771 
1,361 

657 

299 
611 
320 
1,132 
525 

582 
223 
687 
220 
317 

184 
296 
260 
1,129 
880 

246 
852 
508 
657 
1.016 

614 
1.014 
668 
703 
434 

1.021 
898 
381 
283 
369 

488 

373 



543 
2,804 
949 
825 
661 

380 
1,336 
1.363 
1,946 
3.635 

352 

3.216 

1.713 

3.369 

11.532 

1,434 

2.972 

506 

387 

1.326 

818 
1.577 
3.805 
1.371 

661 

299 
613 
321 
1.143 
525 

584 
224 
691 
220 
319 

184 
296 
265 
1.136 
899 

246 
887 
510 
661 
1,035 

615 
1.014 
668 
705 
437 

1.025 
902 
383 
286 
371 

501 

374 



3 
79 
20 
28 

5 

1 

6 

13 

18 

328 



30 

16 

325 

1.426 

19 

86 

4 

6 

78 

7 

18 

347 

48 

3 

6 
12 

5 
53 

5 



16 


95 


365 


112 


634 


1.341 


27 


173 


650 


II 


170 


549 


14 


152 


403 


3 


77 


279 


8 


337 


943 


15 


245 


1.027 


123 


525 


1.113 


461 


961 


1.406 


8 


114 


165 


17 


280 


2.315 


26 


395 


1.141 


165 


637 


1.425 


667 


2.744 


4.525 


112 


481 


706 


78 


625 


1.596 


5 


73 


408 


4 


67 


285 


120 


313 


712 


34 


242 


481 


99 


393 


947 


218 


1.055 


1.901 


122 


475 


645 


2 


166 


449 


9 


57 


208 


17 


223 


346 


5 


90 


204 


23 


251 


670 


7 


92 


377 


10 


139 


406 


11 


67 


137 


32 


101 


504 


8 


50 


110 


10 


67 


191 


5 


53 


103 


16 


83 


189 


3 


64 


175 


29 


161 


827 


24 


249 


440 


19 


46 


136 


18 


151 


634 


6 


76 


370 


22 


99 


442 


68 


223 


610 


10 


193 


336 


24 


76 


731 


7 


210 


411 


22 


201 


448 


16 


114 


266 


9 


287 


544 


16 


155 


656 


24 


126 


201 


13 


91 


167 


5 


64 


243 


4 


138 


332 


14 


83 


237 



92 



Table 5. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1983 — Continued 



City by State 


Population 


Cnme 
Index 
total 


Modified* 
Cnme 
Index 
total 


Murder 
and non- 
negligenl 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
Ihefl 


Motor 
vehicle 
theft 


Arson* 


NEW JERSEY — Continued 


39.589 
13.798 
11.516 
92.252 
56.309 

51.013 
11.965 
16.557 
14.385 
53.958 

13.029 
10,986 
10,898 
18,988 
10,217 

28,278 
11,597 
47.509 
13.355 
11.592 

18,238 
30.843 
23.088 
39.770 
40.209 

11.496 
10.910 
40,543 
20.465 
91.794 

10,534 
15,774 

25.937 
355.163 
27,637 
33.848 
10.839 

33,439 
19.688 
12.565 
31.527 
48.505 

18,990 
10.546 
10.720 
10.783 
42,870 

52.875 
10,677 

102.698 
109.619 
32.738 


1.868 

253 

685 

9.079 

3.839 

2,430 
743 
582 
381 

4.069 

1.107 
194 
413 
527 
317 

833 
282 
2.873 
935 
328 

595 

850 

868 

2.388 

1.160 

496 

339 
1.798 

775 
4.150 

508 
322 

1.630 

29,250 

1.723 

1.593 

765 

3.421 
3.275 
735 
2,209 
3,862 

388 
588 
564 
322 
3,135 

5,787 
768 

5,215 

2,558 

830 


1,889 

254 

687 

9,120 

3,843 

2,436 
755 
584 
384 

4,099 

1,115 
195 
415 
535 
320 

838 
284 
2,873 
938 
328 

500 

855 

886 

2,390 

1,156 

497 
339 

1,810 
793 

4,190 

508 
322 

1,544 

29,495 

1,735 

1,614 

769 

3,441 
3,279 

2,222 
3,871 

391 
591 
558 
324 
3,141 

5,794 
769 

5,251 
2,564 




7 

3 
85 
25 

4 
4 


36 

7 

21 

868 

173 

93 
11 


53 
1 

26 
366 
186 

44 
32 
9 
38 
175 

14 
5 
10 
25 
13 

20 
9 
34 
33 
6 

8 
13 
24 
81 
51 

26 
10 
73 
58 
114 

13 

5 

90 

1,815 

58 

60 

37 

244 
510 
95 
183 
150 

12 
20 
74 
24 
130 

575 
26 

382 
145 
21 


604 
106 

76 

2,542 

978 

519 

251 

98 

71 

978 

134 
32 
80 

120 
80 

341 

85 

313 

225 

49 

120 
176 
202 
530 
315 

101 
83 
581 
248 
789 

150 
71 

371 
7,733 
277 
345 
208 

649 
325 
312 
459 
786 

77 
103 
174 
116 
658 

1,353 
145 

1,588 
594 
152 


1,062 

126 

428 

4,376 

1,512 

1.432 
414 
441 
237 

2.563 

678 
149 
258 
347 
207 

361 
172 
1.988 
458 
250 

406 
620 
606 
989 
510 

279 
232 
901 
402 
2.405 

305 
228 

1.086 

17,087 

1.333 

1.091 

490 

2,270 
2.211 
296 
1.435 
2,588 

287 
439 
282 
156 
2,178 

3,375 
550 

2,813 

1,600 

601 


106 
13 
131 
822 
958 

338 
31 
33 
30 

255 

254 
8 

54 
30 
14 

93 

15 

511 

171 

16 

57 
28 
29 
597 
152 

78 
10 

105 
49 

765 

29 
16 

61 
1,475 
39 
52 
24 

154 
153 
22 
64 
157 

11 
21 
25 
14 
120 

301 
31 

166 
178 
26 


21 




19 

7 


1 




2 




41 


Jnion City 


4 
6 






12 




1 

2 


2 


'erona 


2 

24 

3 


3 

72 

14 


3 
30 




8 


Valdwick 




1 






1 
I 

4 

1 

9 


10 
4 
2 

14 


2 




1 


8 




3 


Vashington Township (Gloucester County) 


5 




2 




2 


27 

37 

7 

3 
10 

1 
83 
28 

11 
3 
32 
12 
65 

10 
1 

17 
909 
10 
14 
4 

73 
44 

7 
35 
46 






3 






Vest Dentford Townshio 




I 
2 
3 
5 

3 

1 


5 


Vestfield . .... 


I 
3 
3 


5 


Vest Milford Township 


18 


Vest New York 


2 




5 


Vest Paterson 




1 




' 




6 

5 
11 

1 
1 

3 

206 

4 

20 

1 

27 
20 
4 
15 
32 

1 

1 
5 
2 
8 

29 
5 

42 
8 

7 


12 




1 

1 


18 




40 


Voodbury 

Vyckoff 








NEW MEXICO 


2 

24 
2 
1 

1 

4 
2 

7 
3 


14 




245 




12 


:iovis 


21 




4 




20 




4 






Hobbs 


13 




9 




3 




2 

2 

3 
2 

3 

2 


4 
1 

39 

50 
9 

221 
31 
13 


3 


Portales 


4 




2 




5 




7 


Silver Citv 


1 


NEW YORK 


46 


Aubum 


6 



93 



Tabic 5. — Number of Offenses Known to the 


Police, Cities and Towns 10,000 and over in Population, 1983 — Continued 




T 


City by Sute 


Population 


Cnme 
Index 
total 


ModifiRl* 
Crime 
Index 
lota) 


Murder 
and non- 
negligenl 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


Arson" 


NEW YORK — Continued 
Batavia 


16,819 
13,025 
15,222 
24,523 
56,255 

10,066 
36,076 
360,656 
24,543 
10,455 

28,121 
92,928 
22,553 
75,059 
46,586 

18,324 
71,165 
13,011 
20,278 
20,000 

23,536 
10,019 
15,394 
14,010 
20,164 

18,065 
13,020 
11,433 
35,687 
14,589 

15,795 
14,062 
16,931 
11,172 
38,517 

13,395 
23,229 
11,454 
15,205 
24,740 

16,029 
21.422 
82,060 
40,604 
25,415 

39,772 
23.209 
23.308 
40,746 
10,318 

58,112 
29,110 
36,013 


658 
650 
426 
414 
2,905 

136 

1,407 

25,987 

428 

475 

713 
3,487 

286 
2.138 

699 

544 
2,556 

497 
1,094 

788 

989 
171 
670 
401 
284 

231 
327 
823 
2,234 
605 

610 
157 
350 
236 
2,122 

667 
675 
324 
605 
736 

447 

273 

2,548 

2,080 

375 

1,554 
452 
679 

2.939 
469 

2.546 
1,592 
1,783 


1,416 
26.595 

671 
471 


1 


1 
4 


5 
19 
3 
3 

27 

22 
1,410 

5 
2 


15 
41 
14 
12 
11 

8 

11 

1,547 

7 

3 

47 

190 

7 

80 
13 

43 
21 
43 
43 
63 

16 

5 


103 

263 

74 

92 

661 

40 

214 

7,150 

67 

64 

230 
743 
42 
477 
236 

133 
450 
74 
200 
156 

150 
39 
97 
88 
58 

78 

72 

302 

433 

104 

166 
24 

111 
44 

622 

137 
176 
92 
122 

175 

103 

80 

418 

448 

54 

358 
109 
190 
866 
81 

356 
526 
395 


526 
290 
312 
296 
2,047 

80 

1,109 

12,720 

338 

389 

390 
2,188 

231 
1,361 

443 

333 
1,972 
346 
804 
525 

760 
110 
524 
277 
179 

142 
224 
425 
1,685 
466 

361 
111 
180 
185 
1,050 

476 
414 
221 
437 
467 

296 

161 

1,957 

1,364 

312 

993 
280 
409 
1,332 
325 

2,047 

952 

1,233 


8 
32 
23 

9 
146 

8 

46 

2,820 

11 

15 

46 
326 

6 
178 

2 

25 
89 
32 
33 
35 

42 
15 
33 
12 
32 

8 

12 
39 
71 

27 

36 

8 

34 

6 

228 

28 

57 

7 

8 

53 

31 

19 

133 

163 

6 

58 
41 
50 
263 
11 

107 
77 
84 


60 




Bedford 


Bethlehem 




2 

12 

5 
297 



2 




1 
43 






Buffalo 












2 


5 


33 






2 


3 


37 

5 

5 
16 

1 

10 
6 

20 
2 
14 

1 
2 

3 
3 




Cohoes 




5 
6 
1 

4 
2 

1 




2 
1 
















2 






2 


21 
13 












1 
5 
4 
2 

2 


15 

52 

24 

6 

44 
14 

7 










17 










1 










1 


17 

1 

151 

5 

12 
2 
9 
15 

6 








3 


14 
1 


54 

20 

14 

1 

25 

23 

10 
12 
10 

47 

3 

124 
12 
16 

164 
48 

12 
12 
49 






2 

3 
2 


Geddes Town 


1 

1 
1 
6 

7 




Glen Cove 










2 

1 


22 
50 








3 


8 
1 

3 

24 

1 

1 
8 
5 


13 
9 
11 

287 
3 

23 
15 
16 








Homell 






2 
1 




94 







Table 5. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1983 — Continued 



City by State 



Population 



Crime 
Index 

total 



Modified* 
Cnme 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



NEW YORK — Continued 



Johnson City 

Kenmore 

Kent 

Kingston 

Lancaster Town 



Lancaster Village 

■I Lixkport 

Lynhrook 

MLimaroneck Town ... 
Mamaroneck Village.. 



Massena 

Middletown 

Mount Pleasant.. 
Mount Vernon ... 
Newark 



Newburgh 

Newburgh Town 

New Castle 

New Hartford Town & Village . 
New Paltz Town & Village 



New Rochelle 

Sew Windsor Town.. 

Sew York 

Niagara Falls 

Niskayuna Town 



North Greenbush Town . 

North Tonawanda 

Ogden 

Ogdensburg 

Olean 



Oneida 

Oneonta 

Orangetown .... 
Orchard Park.. 
Ossining 



Peeksklll 

Plattsburgh 

Port Washington. 

Potsdam 

Poughkeepsie 



Poughkeepsie Town.. 

iRamapo Town 

IRiverhead Town 

Rochester 

RockviUe Centre 



Rome 

Rotterdam 

Rye 

Saratoga Springs 
Saugerties Town 



Scarsdale 

Schenectady 

Southampton Town . 



17.271 
18,644 
12,541 
24,651 
10,117 

13,168 
25,084 
20,687 
12,452 
17,660 

12,955 
21,651 
23,948 
66,627 
10,113 

23,327 
22,921 
15,499 
19,346 
10,227 

71,165 
19,690 
7,100,063 
71,997 
17,625 

10,526 
36,044 
14,803 
12,485 
18,354 

10,877 
14,945 
37,084 
24,576 
20,413 

18,414 
21,266 
14,593 
10,773 
29,948 

38,940 
53,084 
20,591 
243,750 
25,616 

44,131 
29,714 
15,192 
24,119 
14,129 

17,786 
68,499 
34,130 



916 
456 
243 
651 
304 

424 
1,574 
556 
377 
648 

645 
1,392 

403 
4,491 

483 

2,621 

1,127 

208 

227 

420 

2,266 

693 

622,877 

5.109 
623 

180 
1,130 
303 
526 
799 

566 
537 
1,017 
870 
749 

983 
806 
533 
342 
2.583 

1,783 
1,942 
1,039 
25,192 
1,143 

1,662 
678 
393 

1,048 
355 

507 
3,064 
1,616 



4,524 
483 



2,682 



629,962 



1 
1 
1,622 
5 
1 



804 



893 



25,477 



1,674 



1 

5 

4 

3,662 

18 



2 
17 

5 
6 
2 
124 
1 

7 
1 



2 

33 

1 

355 

6 

313 

19 

1 



113 

19 

84,043 

198 

I 

1 



4 

7 

5 
2 
6 
8 
39 

34 
6 
3 

246 

19 
16 
19 
1,137 
24 

18 

3 

14 
3 



3 
21 

4 
12 
14 

29 

168 

30 

3 

4 

4 
25 



308 
31 

174 

79 

5 



30 

63 
61 
43,326 
62 
26 

25 
11 
13 
3 
3 

2 
1 
100 

47 
63 

62 
29 
8 
15 
70 

74 

151 

82 

1,441 

15 

12 



125 
II 



117 
76 
87 

250 
98 

143 
428 
121 
97 
140 

133 

318 

147 

1,193 

61 

916 
193 
68 
25 
117 

620 

196 

143,698 

1,481 

91 

45 
265 

60 
144 

99 

130 
119 
276 
185 
208 

255 
138 
153 
52 
797 

336 
451 
369 
5,772 
246 

440 
179 
65 
269 
139 

159 

1,001 

505 



776 
318 
142 
314 
174 

236 
874 
304 
260 
455 

482 
928 
235 
1,965 
376 

1,127 
773 
120 
202 
248 

1,126 

359 

253,801 

3,104 
485 

102 
797 
214 
356 
672 

407 
376 
566 
583 
409 

581 
603 
328 
266 
1,324 

1,277 
1,226 

550 
15,399 

716 

1,112 
457 
297 
651 
175 

326 

1,688 

941 



15 
30 
10 
50 
16 

14 
71 
83 
16 
37 

24 

85 

20 

630 



20 

338 

53 

92,725 

241 
19 

5 
46 
16 
19 
18 

18 
22 
61 
43 
23 

49 
25 
41 
5 
126 

71 

92 

16 

1,289 

140 

73 
32 
24 
27 
27 

17 
188 
76 



95 



Table 5. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1983 — Continued 



City by Siaie 


Population 


Cnme 
Index 
total 


Modified- 
Cnme 
Index 
total 


Murder 
and non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
Ihefl 


Motor 
vehicle 
theft 


Arson* 


NEW YORK — Continued 


20.768 
12.958 
10.883 
171.851 
10.704 

18,872 
73,493 
57,132 
12,383 
76,125 

27,483 
20,624 
12,039 
28.155 
11.426 

23.623 
51.672 
47,227 
196,382 
32,273 

15,449 
15,822 
55,897 
10,618 
38.719 

22,907 
31,935 

323,704 
17,538 

103,792 

16.255 
13.924 
61.902 
48.612 
33.047 

161,200 
36,174 
13,898 
21,307 
64,975 

18,296 
30,784 
26,133 
11.946 
16,358 

18,929 
13,121 
14,240 


1,608 

357 

397 

11,669 

434 

362 
1,688 
3,197 

431 
2,247 

385 
259 
206 
1,070 
373 

821 
1,580 
2,947 
9,216 
1,194 

583 
762 

4,331 
268 

1,675 

563 

1,826 

31.485 

863 
10.199 

746 

474 

6.699 

5,788 

2.319 

9.782 
2.620 
1.518 
2.043 
4.817 

2.445 
1.083 
2.580 
948 
1,061 

1.146 
723 
778 


397 
11.816 

9.268 

585 
762 

4.337 
268 

1,678 

563 

1,837 

31,745 

866 

10.260 

749 

476 

6.738 

5,810 

2,326 

9,839 
2,635 
1.531 
2.055 
4.841 

2,450 
1,091 
2,587 
952 
1.071 

1.154 
724 
782 


1 
9 


9 

1 
57 

1 

1 

4 
13 

9 


86 

2 

14 

737 

14 

7 
17 
76 

5 
92 

1 
6 


63 

22 

5 

302 

16 

45 
104 
156 
27 
33 

3 

4 

4 

20 

76 

8 
66 

92 
173 

27 

23 
82 
174 
11 
84 

14 

85 

2.863 

46 

259 

50 
62 

483 
185 
94 

666 

118 
92 
173 
361 

299 
54 

234 
38 
42 

89 
64 
11 


405 
116 
94 

3.722 
101 

83 

381 

1.190 

131 

732 

117 
57 
62 

306 
60 

198 
276 
409 
2,357 
265 

183 
185 
949 
46 
381 

103 
433 

8.108 
210 

2.597 

185 

55 

1.880 

1,408 

581 

2.205 
709 
361 
470 

1.081 

448 
197 
548 
282 
298 

298 

191 
157 


951 

204 

255 

6.459 

275 

197 
1.056 
1.630 

243 
1.231 

247 
187 
124 
710 
219 

574 
1.086 
2,144 
4,641 

860 

352 
473 

2,936 
198 

1,128 

432 

1,205 

17,773 

566 

6,623 

471 

342 

3,708 

3,907 

1.529 

6.255 
1.649 
999 
1.255 
3.041 

1,497 
766 

1,691 
594 
655 

667 

431 

577 


93 

13 

28 

383 

27 

29 
121 
130 

25 
146 

17 
5 
15 
25 
15 

33 

125 

215 

1.435 

36 

14 
17 
165 
10 
53 

6 

77 

1.337 

17 

379 

31 

8 

311 

176 

50 

375 
75 
47 
89 

210 

113 
40 
64 
20 
36 

74 
19 
20 




Stonv Point 




Suffem 






147 








5 

2 

4 












Ulster 




Utica 




Vestal 




Wallkiil Town 












28 

16 

258 

57 

49 

13 

43 
15 

27 
11 






1 


5 
1 

7 

22 

81 

572 

5 

10 
4 

87 
1 

24 

7 

20 

1.102 

19 

271 

2 

262 

98 

44 

227 
50 
15 
48 
87 

76 
22 
36 
9 
20 

12 
15 
9 








Webster 










White Plains 


1 
10 






52 






NORTH CAROLINA 


4 
1 
2 


2 








6 








3 








1 
44 

3 
13 


11 




260 




3 




61 


Eden 


3 


6 

7 
8 

11 
4 
2 
1 

10 

1 
1 
4 

2 
4 

2 
2 
1 


2 


Favetteville 


39 




22 




7 




57 




15 


Henderson 

Hickory 

High Point 


13 
12 
24 




5 









7 




4 
10 




8 




1 


Morganton 


4 



96 



Table 5. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1983 — Continued 



City by State 



Population 



Crime 
Index 
total 



Modified* 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



NORTH CAROLINA — Continued 

New Bern 

Raleigh 

Reidsville 

Roanoke Rapids 

Rocky Mount 

Salisbury 

Sanford 

Shelby 

Statesville 

Thomasville 

Wilmington 

Wilson 

Winston-Salem 

NORTH DAKOTA 

Bismarck 

Dickinson 

Fargo 

Grand Forks 

Jamestown 

Mandan 

Minot 

West Fargo 

WiUlston 

OHIO 

Akron 

Alliance 

Amherst 

Ashland 

Ashtabula 

Athens 

Avon Lake 

Barberton 

Bay Village 

Beavercreek Township 

Bedford 

Bedford Heights 

Bellefontaine 

Berea 

Bexley 

Blendon Township 

Boardman Township 

Bowling Green 

BrecksviUe 

Broadview Heights 

Brookfield Township 

Brooklyn 

Brook Park 

Brunswick 

Bucyrus 

Cambridge 

Canton 

Centerville 

Chester Township 

Chillicothe 



15.137 
154,482 
12,946 
15,147 
43,268 

23,581 
15,392 
15,922 
19,325 
14,565 

45,914 
35,467 
137,796 



46,382 
16,564 
63,908 
45,608 
16,968 

16,150 
34,275 
10,505 
13,917 



236,547 
24,275 
10,599 
20,213 
23,308 

19,762 
13,158 
29,674 
17,804 
33,305 

14,974 
13,161 
11,775 
19,597 
13,370 

14,937 
41,754 
25,695 
10,113 
10,888 

10,907 
12,300 
26,144 
27,591 
13,386 

13,423 
94,452 
18,916 
11,173 
23,339 



1,111 

9,765 

682 

649 

3,268 

1,447 
1,283 
1,159 
1,727 
912 

4,161 
3,010 
12,597 



2,098 

923 

2,952 

2.126 

835 

618 
1,471 

336 
1,063 



15,949 

1,711 

565 

453 

1,704 

712 
262 
1,607 
210 
822 

521 
479 
494 
644 
496 

269 
1,677 
893 
160 
168 

291 
425 
937 
339 
522 

578 

6,520 

547 

154 

1,852 



1,118 

9,798 

683 

649 

3,287 

1,454 
1,291 
1,165 
1,734 
913 

4,188 
3,017 
12,698 



2,101 

925 

2,959 

2,131 

841 

619 
1,474 

337 
1,063 



16.162 

1,768 

565 

455 

1,735 

720 

263 

1,618 

216 

827 

525 
480 
495 
652 
500 



1,677 
894 
160 
168 



429 
940 
342 
525 

582 

6,586 

558 

156 

1,859 



2 


6 


12 


46 


2 


4 


3 




7 


16 


1 


4 


2 


6 


5 


6 


2 

1 


4 

1 


7 


32 


3 


9 


17 


75 



128 
8 
5 

10 



24 

289 

6 

4 

63 

30 
20 
22 
26 
20 

77 

71 

281 



7 


10 


1 




23 


12 


6 




2 




2 




1 




2 





645 

32 
3 
3 

36 



55 



314 
3 



70 
532 
61 
33 
167 

78 
118 
75 
62 
40 

175 

179 

1,548 



637 

114 

48 

II 

151 

45 
6 

78 
5 
9 



2 

230 

7 

2 

29 



389 
2,379 
153 
104 
820 

308 
253 
301 
333 
188 

1,136 

892 

3,180 



3,236 

440 

63 

48 

361 

84 
35 

353 
52 

238 

94 

87 
101 
160 
134 

64 
338 
115 
48 
29 

38 

88 

207 

69 

75 

107 

1.705 

87 

58 

422 



565 

6.120 

440 

479 

2.106 

989 
847 
711 
1.266 
615 

2.579 
1.767 
7.014 



309 


1,645 


198 


674 


503 


2,260 


326 


1,668 


199 


601 


71 


500 


133 


1,263 


56 


258 


53 


949 



10,447 

1,079 

433 

379 

1,099 

548 

203 

1,064 

137 
548 

322 
260 
368 
385 
317 

147 
1,008 

706 
95 
98 

200 
236 
522 
206 
403 

444 
3,817 

434 

91 

1,319 



55 
387 
16 
26 
89 

37 
37 
39 
34 
47 

155 

89 

482 



115 

37 
HI 
107 

27 

37 
65 
14 
54 



837 
36 
12 
12 
46 

23 
18 
80 
13 

14 

98 
94 
19 
69 
12 

12 
242 
34 
10 
30 

30 
70 
178 
40 
22 

17 
392 
16 
3 
51 



97 



Table 5. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1983 — Continued 



City by Stale 


Population 


Crime 
Index 
total 


Modified' 
Cnme 
Index 
total 


Murder 
and non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


Arson* 


OHIO — Continued 

Cincinnati 

Circieville 


382.373 
11,659 

571,827 
56,199 
55,916 

561,328 
43.623 

192.948 
16.750 
17.595 

28.773 
11,477 
36,622 
21,911 
56,928 

11.297 
59.835 
29.689 
30.756 
19,245 

18,733 
10.693 
17.852 
16.366 
12.400 

34.888 
12,481 
12,430 
12,976 
16,655 

62.723 
18.749 
34.575 
14.150 
28,892 

26,091 
61,105 
61,801 
34.857 
14.315 

47.262 
74,436 
18,058 
22,682 
15,337 

53,802 
29,407 
16.430 
36.999 
30,362 

15,721 
21,341 
15.277 


30.053 

559 

47.236 

2.358 

736 

43.619 

1.491 

20.784 

828 

977 

606 
428 

2.792 
606 

2.198 

486 
1.936 
1,168 
1,547 

401 

522 
700 
847 
576 
662 

1.124 
404 
347 
690 
561 

4.899 
376 

1.458 
467 

1.602 

997 
2,408 
1,949 
2,009 

634 

4.294 
3.229 

281 
1.258 

598 

4.417 

876 

795 

2.582 

1.268 

974 
718 
800 


30.682 

561 

48.205 

762 

44.089 

1.507 

21.056 

832 

977 

616 

2,827 

614 

2,219 

491 
1,952 

1,554 
403 

523 
707 
847 
581 
664 

1,128 
404 
347 
697 
564 

4,967 

1,461 

467 

1.604 

999 
2.434 
1.971 
2.016 

4.334 

3.237 

283 

1.276 

4.443 

878 

798 

2.606 

1.276 

978 
720 
801 


27 

148 
2 


308 
3 

716 
9 
3 

324 

5 

153 

2 

2 

1 
2 

51 
4 

18 

3 
7 
7 
11 
2 

1 


1.401 
5 

4.115 
50 
14 

2.407 
14 

1.737 
10 
15 

3 

3 

233 

3 

60 

3 
49 
17 
28 

2 

11 
10 
3 
9 
3 

19 
5 

10 
6 

11 

132 
10 
24 
24 
28 

16 
58 
28 
19 
15 

126 

87 

2 

36 

2 

114 

32 
15 
46 
21 

6 
11 

4 


1.603 

4 

2.819 

14 

1.392 

219 

893 

12 

11 

3 

8 

342 

84 

89 

56 
45 
29 
59 

7 

8 

17 

122 

3 
15 

117 

8 

17 

28 

26 

317 

1 

14 

57 
26 

24 

89 

129 

256 

6 

260 

126 

4 

56 
20 

432 
30 
16 
38 
50 

8 
10 
39 


7.398 

95 

14.046 

354 

173 

12.918 

234 

5.802 

132 

200 

100 

76 

676 

127 

1.002 

62 
307 
227 
311 
118 

88 
141 
211 
133 
142 

332 
98 
104 
141 

87 

1,235 
136 
197 
111 
240 

163 
497 
340 
326 
100 

984 

1,207 

78 

297 

102 

1,288 
210 
241 
919 
340 

124 

90 

207 


18.164 
431 

13.953 

1.417 

509 

24.014 
949 

11.327 
542 
713 

483 

328 

1,046 

346 

829 

348 
1,271 

838 
1,067 

210 

397 
489 
483 
413 
476 

472 
253 
196 
490 
391 

3,032 
204 

1,150 
233 

1.175 

730 
1,559 
1,259 
1,331 

405 

2,805 

1,615 

166 

815 

445 

2,377 
346 
480 

1,517 
782 

802 
465 
504 


1,152 

21 

11.439 

526 

23 

2.490 

70 

818 

30 

36 

16 

11 
436 

41 
190 

14 
256 
50 
71 
62 

17 
43 
23 
17 
26 

176 

30 
16 

22 
41 

140 
25 
62 
41 

124 

61 
93 

178 
68 
107 

93 
174 
30 
46 

" 

177 
257 
36 
54 
65 

32 
137 
43 


629 

2 


Cleveland 


969 


Cleveland Heights 


26 




74 
54 


470 


Cuyahoga Falls 


16 




272 




4 












10 






East Cleveland 


8 

1 

10 


35 


Eastlake 


8 




21 


Englewood 


5 

16 










7 






2 


Forest Park 




1 




7 




I 


5 
1 






5 




2 




7 


4 








1 

1 
4 

4 

1 
1 

2 


3 
3 
4 

39 

11 
1 

5 

3 
11 
14 

7 
1 

23 
17 






7 


Grove City 


3 


Hamilton 

Howland Township 

Huber Heights 


68 

3 




2 


Kent 


2 




26 




22 




7 






Lima 

Lorain 


3 
3 

1 

1 

6 

2 
1 
1 


40 
8 
2 




8 

1 

23 
1 
5 
7 
9 

2 
5 

2 


18 


Mansfield 

Maple Heights 


26 

2 
3 




24 


Massillon 


8 




4 


Mayfield Heights 


2 


Medina 


1 



98 



I able 5. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1983 — Continued 



City by State 



Population 



Cnme 
Index 
total 



Modified* 
Cnme 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



OHIO — Continued 



Miamisburg 

Miami Township 

Middleburg Heights.. 

Middletown 

Montgomery 



Newark 

New Philadelphia 

Niles 

North Canton 

North College Hill. 



North Olmsted 
North Ridgeville . 

Norton 

Norwalk 

Norwood 



Oregon 

Oxford 

Painesville.. 

Parma 

Perrysburg . 



Perry Township 

Portsmouth 

Randolph Township . 

Ravenna 

Reading 



Reynotdsbiirg 

Richmond Heights . 

Salem 

Sandusky 

Seven Hills 

Shaker Heights 



Sharon ville 

ShefTield Lake. 

Sidney 

Solon 

South Euclid... 



Springfield 

Springfield Township 

Steubenville 

Stow 

Strongsville 



Sylvania 

Sylvania Township . 

Tallmadge 

Tiffin 

Toledo 



15,296 
23.316 
16,196 
43,608 
15,060 

41,081 
16,888 
23.027 
14.161 
11,044 

36,409 
21,196 
12,217 
14,320 
26,075 

18,645 
17,635 
16,319 
92,398 
10,176 

32,569 
25,942 
12,615 
11,933 
12,794 

19,481 
10,070 
12,840 
31,242 
13,588 
32,605 

10,088 
10,478 
17,624 
13,922 
25,671 

72,122 
41,876 
26,236 
25,250 
28,469 

15,525 
17,489 
15,208 
19,529 
353,872 



1,118 
742 
577 

3,300 
323 

1,782 
933 

1,348 
274 
522 

1,291 

472 

395 

451 

1,371 

1,062 
638 
851 

2,491 
266 

885 
2,098 
249 
866 
395 

962 
450 
450 

2,373 
180 

2,225 

1,068 

235 

1,039 

364 

553 

5,556 

1,476 

1,225 

744 

746 

438 
891 
692 
925 
30,889 



1,129 
750 
579 

3,319 

323 

1,785 

940 

1,349 

278 
524 

1,300 
473 
397 
453 

1,376 

1,072 
648 
855 

2,518 
267 

892 

2,225 
251 

397 

968 
457 
451 

2,393 
180 

2,294 



1,040 
384 
555 

5,578 
1,477 

755 
758 



897 

695 

928 

31,691 



36 



224 



25 

9 

3 

48 

2 

117 

17 
1 

12 
5 

16 

208 

29 

42 

5 



2 
3 
6 
2 
1,411 



10 
2 
19 

73 
73 
48 
150 
1 

101 
79 

6 
26 

5 

16 
3 

25 

74 

1 

38 

22 
10 
11 
18 
6 

446 
173 
126 

1 

19 

24 
45 
11 
30 
749 



262 

210 

95 

676 

72 

438 
201 

273 



243 
98 

114 
61 

280 

299 

89 

191 

561 

24 

243 
688 

49 
175 

67 

226 
33 
34 

519 
66 

786 

159 
44 

203 
75 
92 

1,284 
318 
465 
128 
246 

74 
174 
170 

65 
8,335 



745 
429 
324 
2,302 
234 

1.135 
673 
836 
172 
380 

846 
309 
243 
368 
934 

620 
443 
549 
1,344 
231 

482 
1,181 
181 
629 
295 

642 
315 
371 
1,644 
102 
753 



170 
784 
220 
325 

3,388 
903 
532 
560 
398 

317 
620 
478 
811 
18,133 



60 

47 
127 
147 
9 . 

97 

28 

175 

9 

15 

167 
47 
20 
15 
89 

37 

26 

48 

383 

6 

48 

85 

8 

14 
13 

45 
88 
15 
62 
9 
523 

61 
10 

27 
44 
112 

171 
52 
56 
29 
75 

18 
45 
24 
16 
2,001 



99 



Table 5. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1983 — Continued 



City by Slate 


Population 


Cnmc 
Index 
total 


Modified- 
Cnmc 
Index 
total 


Murder 
and non- 
ncgligenl 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


Anon* 


OHIO — Continued 

Troy 

Union Township (Butler County) 

Union Townshin (Clermont Counlv) . . 


18,971 
23,493 
28,162 
35,555 
10,752 

13.138 
11.000 
10.989 
15.157 
55,364 

16,320 
12,623 
13.134 
22,916 
19.437 

21.253 
16,767 
19,252 
10,421 
19,235 

14.927 
24.664 
115,196 
28,544 

17.504 
25.319 
26,021 
37,905 
24,116 

39,034 
17.326 
13.178 
31,153 
24,713 

13,080 
37.888 
10,524 
16,975 
55,287 

11,224 
87,609 
18,783 
15,571 
54,258 

38.339 
43,580 
74,368 
441,281 
17,824 

28,843 
14.001 
17.283 
28.448 
41.932 


1,011 
760 

1,376 

1,024 

522 

469 
470 
327 
545 
3,113 

909 
592 

751 
609 
482 

1,606 
380 
585 
348 
940 

522 
1,307 
8,186 
1,687 

1,038 
946 
1,827 
2,058 
1.077 

1.220 
1,326 
565 
1,490 
1,545 

817 
1.827 

767 
1,022 
3,397 

749 

5.436 

906 

799 

3,652 

1,893 
3,803 
4,065 
36.369 
1.204 

1,089 

990 

793 

2,153 

1,179 


1.028 

763 

1,383 

1,038 

526 

478 
472 
331 
548 
3,113 

925 
594 
755 
611 
489 

1,618 
386 
589 
354 
954 

527 
1,319 

1,764 

1.039 
950 
1,833 
2,070 
1,077 

1,226 
1,328 
568 
1.501 
1,548 

820 
1,858 

769 
1,030 
3,416 

755 

5,468 

912 

800 

3,674 

1.903 
3,819 
4.086 
36,779 
1,211 

1.099 

991 

793 

2,176 

1,181 


1 

1 


4 
2 
4 

1 


5 
9 
11 
15 
4 

5 

3 
1 

4 
140 

29 
5 
8 

11 
4 

61 

2 
4 
7 
6 

8 
11 

478 
45 

18 
9 
19 
16 
14 

19 
15 
2 
46 
10 

6 
20 

6 
11 
63 

18 

167 

14 

8 

79 

28 
111 
55 
1,917 
41 

19 
19 
22 
10 
18 


50 
6 

75 
9 

58 

12 

33 

4 

34 

308 

14 
13 
43 
15 

4 

39 
14 
4 
4 
6 

9 

18 

459 

19 

40 

34 
87 
71 
32 

34 
72 
13 
47 
151 

53 
128 
30 
40 
81 

71 
401 
39 
35 
132 

107 
170 
76 
2,174 
93 

48 
60 
28 
86 
45 


178 
203 
218 
169 

72 

84 
109 
78 
74 
1,161 

168 
108 
122 
97 
103 

348 
64 
93 
65 

188 

120 

173 

3,030 

554 

279 
310 
529 
353 
284 

349 
329 
147 
426 
194 

175 
559 
190 
253 
948 

283 
1,490 
237 
161 
840 

421 

1,262 

1,179 

12,334 

328 

248 
194 
210 
625 
251 


750 
513 
980 
809 
371 

339 
307 
224 
415 
1,276 

505 
445 
537 
468 
308 

1.043 
230 
441 
253 
694 

359 
1,058 
2,807 
1,014 

613 

526 

1,074 

1,545 

655 

718 
821 
357 
819 
1,129 

533 
996 
495 
643 
2,107 

342 

3,003 

543 

537 

2,330 

1,126 

1,931 

2,?92 

15,142 

668 

720 
638 
461 

1,255 

827 


24 
26 
87 
21 

17 

25 
17 
17 
15 
186 

191 
19 
37 
16 
62 

106 
68 
43 
16 
45 

23 

41 

1,329 

46 

80 
65 
104 
65 
89 

98 
86 
39 
144 
56 

48 
113 
43 
73 
179 

27 

313 

65 

56 

251 

195 

302 

425 

4,208 

67 

49 

77 
69 
166 
31 


17 
3 

7 




14 




4 




2 
2 
6 

1 

2 

1 


2 
1 
1 
3 
36 

2 
2 

3 

1 

8 
2 


9 


Van Wert 


2 




4 




3 






Wairensville Heights 

Washington Court House 


16 
2 


West CarroIIton 


4 


Westerville 

Westlake 

Whitehall 

WickhfFe 


2 

7 

12 
6 


Willoughby 


4 






3 

1 

1 

5 

64 

9 

7 

8 
5 
3 

2 
1 
7 
7 
4 

1 

9 
1 

15 

8 
48 
8 
2 
18 

15 

24 

36 

533 

6 

3 

2 
2 
7 
7 


6 




2 

1 

19 


14 


Worlhington 

Xenia 

Youngstown^ 

Zanesville 

OKLAHOMA 

Ada 

Altus 

Ardmore 

Bartlesville 


5 
12 

77 


1 

2 
6 

3 


1 

4 
6 
12 


Bethanv 








6 


Chickasha 

Claremore 

Del City 


2 

1 
1 

1 
2 
2 
2 
4 

14 

2 

1 

3 

2 

61 

1 

2 

1 
4 


2 
3 
11 
3 




3 




31 




2 


El Reno 


8 


Enid 


19 




6 




32 




6 




1 


Moore 


22 

10 
16 




21 


Oklahoma City 


410 




7 


Ponca City 

Sand Springs 


10 

1 




23 


Stillwater 


2 



100 



Table 5. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1983 — Continued 



City by State 


Population 


Crime 
Index 
total 


Modified* 
Cnme 
Index 
total 


Murder 
and non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbei7 


Aggra. 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


Arson* 


OKLAHOMA — ConHnued 


10,686 
391,101 
12,108 
11,167 
10,537 

14,915 
18,702 

27,019 
14.911 
10.193 
32.578 
17.610 

14.726 
41.649 
106.738 
11.733 
15.281 

33.357 
31,271 
16,974 
11,596 
21,536 

10.620 
14.320 
40.284 
18.185 
10,555 

14.929 
14.805 
371.706 
16.861 
90.920 

41,953 
11,014 
12.206 
10.830 
11.394 

59.092 
16.883 
104.463 
57.336 
14,601 

24,655 
12,565 
10.183 
52.519 
11.850 

34,970 
70.825 
12,170 
11,838 
11,287 


608 
31,487 
575 
731 
453 

677 
708 

1,483 

665 

507 

2,001 

1,382 

1,086 
2,115 
8,700 
700 
1,631 

2,068 

1,574 

1,189 

578 

816 

650 
979 
3,522 
933 
544 

1,087 

941 

48,318 

1,371 

7,937 

3,256 
822 

1,131 
323 
901 

1.988 

286 

5,756 

1,768 

289 

282 
264 
413 
3.468 
303 

479 
2,367 
317 
396 
427 


610 
31.824 
592 
734 
455 

686 
710 

1.492 

673 

512 

2.019 

1.391 

1.093 
2,122 
8,746 
702 
1.633 

2,084 

1.585 

1,194 

578 

820 

658 
985 
3.552 
936 
546 

1.089 

953 

48.891 

1.375 

7,987 

3.265 
824 

1.136 
329 
904 

1.992 

286 

5.789 

1,807 

294 

282 
264 
414 
3,492 
305 

479 
2,371 
321 
411 
430 


2 
35 

1 
1 

1 


4 
193 

5 
7 

5 

3 
3 

4 
3 
4 
21 
6 

6 

5 
43 


4 

968 
12 
8 

5 

6 

5 

27 
6 
6 

42 

5 

11 

12 

161 

6 

27 

23 
29 
18 

2 
9 

6 
6 

30 
18 
2 

18 

6 

2.964 

14 

126 

45 
17 
20 
3 
10 

46 

15 

187 

27 

6 

4 
17 
14 
82 

1 

7 

79 
4 
3 
4 


21 

1,208 
13 
26 
10 

41 

5 

13 
6 
15 
25 
36 

12 

48 

168 

10 

9 

48 
39 
72 
61 
13 

15 
12 
42 
17 
8 

14 
47 
3,502 
21 
39 

58 
17 
17 
6 
28 

50 
11 
110 
63 
36 

3 

14 
22 
133 

7 

4 
82 
12 

6 
23 


158 

9,058 
161 
197 
116 

170 
203 

424 
177 
158 
459 
227 

239 
421 
1,813 
194 
340 

700 
418 
269 
91 
306 

117 
220 
771 
326 
144 

257 

241 

13,222 

289 

1,964 

876 
217 
382 
105 
229 

417 

92 

1,502 

654 

56 

66 
98 
67 
585 
43 

122 
509 

38 
119 

85 


394 
16,442 
357 
438 
277 

431 
449 

944 

450 

288 

1,366 

1.035 

767 
1,564 
6,195 

456 
1,180 

1,102 

1,019 

775 

392 

455 

494 
710 
2,521 
532 
370 

721 

606 

25,813 

977 

5,435 

2,139 
526 
658 
196 
609 

1,248 
124 

3,698 
934 
178 

165 
121 
279 
2.111 
248 

259 
1.604 
259 
254 
295 


25 
3.583 
27 
54 
40 

25 
43 

70 
23 
36 
86 
73 

48 
65 
318 
34 
70 

185 
56 
48 
28 
31 

16 
29 
138 
38 
16 

65 

39 

2.404 

58 

336 

111 
42 
51 
13 
21 

221 
40 

218 
86 
13 

43 

12 

30 

540 

2 

83 
89 
4 
14 
18 


2 


Tulsa 


337 


Village 


17 


WaiT Acres 


3 


Weatherford 

Woodward 


2 
9 


Yukon 


2 


OREGON 


9 


Ashland 


8 






5 




2 


18 


Bend 


9 




3 
2 


7 




7 




46 




2 




1 

1 
3 
1 

1 
2 


4 

9 
10 
6 
3 


2 




16 


Hillsboro 


11 


Klamath Falls 


5 




4 




2 
2 
20 
2 
4 

12 

1 

377 

12 

33 

27 
2 
3 


8 






6 


Medford 




30 






3 






2 




1 
36 

4 


2 




12 




573 




4 


Salem 


50 




9 




1 


2 




5 


West Linn 




6 






4 

5 

4 

34 

3 

1 
2 

1 
17 

1 

4 
4 


3 


PENNSYLVANIA 


1 

7 
1 


4 








33 




39 




5 
















1 




24 




1 


2 








4 






4 








15 


Bradford 




2 


3 



101 



Table 5. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1983 — Continued 



Cily by Suic 



Population 



Crime 
index 
total 



Modified* 
Cnmc 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



PENNSYLVANIA — Continued 



Brentwood , 

Biistol Township , 

Bumham — Derry Township . 

Butler 

Butler Township 



Canonsburg 

Carbondale 

Carlisle 

Carnegie 

Caslle Shannon . 



Center Township 

Chambersburg 

Cheltenham Township., 

Chester 

Clairton 



Coal 

Coatesville 

Columbia 

Connellsville 

Cranberry Township.. 



Cumru Township. 

Darby 

Darby Township.. 
Derry Township... 
Dormont 



Doylestown Township 

Dunmore 

Duquesne 

East Hempfield Township . 
East Norriton Township.... 



Easton 

East Pennsboro Township . 

Elizabeth Township 

Ellwood City 

Emmaus 



Ephrata 

Erie 

Exeter Township .. 
Fairview Township.. 
Falls Township 



Greensburg 

Grove City 

Hampden Township . 
Hampton Township.. 
Hanover 



Hanover Township.... 

Harrisburg 

Harrison Township.... 

Hatfield Township 

Haverford Township.. 



Hazleton 

Hempfield Township . 

Hermitage 

Hopewell Township... 
Horsham Township... 



II.^TI 
58.784 
10.975 
17.064 
18,744 

10,526 
11,323 
18,458 
10,947 
10,108 

10.801 
16,208 
35.629 
45.974 
12.144 

11.026 
10,750 
10,513 
10,368 
11,115 

11,511 
11,559 
12,353 
18,116 
11.364 

11.859 
16,915 
10,158 
15,226 
12,819 

26,223 
14,041 
16,368 
10,042 
11,057 

11,142 
119,716 
14,473 
12,041 
36,261 

17,648 
11,642 
16,690 
14,336 
14,963 

12,558 
53,426 
13,320 
13,501 
52,643 

27,202 
43,592 
16,481 
14,731 
16,073 



157 
3,596 
197 
650 
535 

400 
153 
823 
217 
183 

144 
1,105 
2,170 
4,890 

230 

212 
482 
438 
529 
224 

334 
495 
146 
542 
208 

369 
368 
545 
417 
519 

1,405 
395 
259 
256 

175 

397 

5,217 

199 

309 

1.661 

493 
113 
212 
385 
750 

316 
5.649 
154 
470 
797 

639 
924 
424 
201 
525 



167 
3,630 
199 
651 
535 

403 
165 
835 
217 
183 

147 
1,108 
2,183 
4,924 

230 

215 
487 
441 
535 
226 

336 
498 

147 
542 
208 

370 
374 
551 
420 
521 

1,418 
398 
264 
259 
175 

398 

5,239 

199 

310 

1,667 

507 
113 
214 
385 
755 

321 

5,701 
155 
473 
805 

647 
943 
425 
201 
525 



28 
5 
1 

1 

15 

109 

403 

18 

I 
23 
7 
9 
1 

5 

25 

6 



64 
3 
3 
1 
1 

4 
269 



2 

387 

5 

1 

10 

9 

20 
1 
3 
6 



5 

577 
10 
15 



192 
54 

952 
11 

6 

24 

21 

8 

6 



34 

272 

4 

5 

31 

6 

3 



24 

7 

25 

324 

7 



33 
703 

34 
140 

41 

104 
21 

189 
56 
39 

22 

181 

410 

1,447 

147 

32 
91 
98 
117 
31 

41 
92 
40 
56 
31 

57 
106 
166 

93 
116 

336 

80 
47 
78 
55 

48 

1,390 

51 

90 

480 

171 
17 
43 
61 

110 

107 

1.794 

34 

120 

210 

145 

302 

52 

29 

124 



82 

1,925 

145 

455 

465 

230 
107 
559 
123 
112 

87 

583 

1,403 

1,574 

30 

154 
314 
289 
354 
173 

252 
241 
55 
451 
146 

250 
222 
284 
306 
354 

900 
278 
176 
134 
108 

290 
2,936 
137 
197 
980 

259 
77 
150 
266 
507 

151 

2,843 

95 

317 

500 

412 
420 
330 
137 
354 



38 
279 

5 
29 

24 

24 
22 
20 
18 
25 

33 
26 
189 
336 
23 

9 
20 
21 
40 
11 

15 
44 
35 
17 
20 

23 
34 
45 
12 
21 

43 
18 
16 
24 
II 

19 

307 

5 

10 
147 

39 
15 
16 
34 
19 

20 
221 
9 
21 
52 

51 
141 

33 
20 
33 



102 



Table 5. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1983 — Continued 



aty by State 



PENNSYLVANIA — Continued 



Indiana 

Jeannette... 
Johnstown.. 
Kingston... 
Lancaster... 



Lancaster Township . 

Lansdale 

Lansdowne 

Latrobe 

Lebanon 



Logan Township 

Lower Allen Township 

Lower Burrell 

Lower Makefield Townsliip 
Lower Merion Township 



Lower Moreland Township.... 

Lower Paxton Townsliip 

Lower Providence Township.. 

Lower Southampton 

Manheim Townsliip 



Manor Township.. 
Marple Township. 

McCandless 

McKeesport 

Meadville 



Middletown 

Middletown Township. 

Millcreek Township 

Monessen 

Monroeville 



Moon Township 

Mountaintop Regional. 
Mount Lebanon 
Muhlenberg Township. 
Munhall 



Murrysville 

Nanticoke 

Nether Providence Township. 

Newberry Township 

New Castle 



New Kensington 

Newtown Township 

Norristown 

Northampton Township... 
Northern York Regional . 



North Huntingdon Township.. 
North Ver^lles Township 

Oil City 

Palmer Township 

Penn Hills 



Population 



Penn Township... 
Peters Township.. 



16,080 
13.158 
35,625 
15,715 
54,954 

10,899 
16,460 
1 1,930 
10,876 
25,856 

12,234 
14,133 
13,322 
17,572 
59,744 

12,551 
34,987 
18,771 
18,460 
26,076 

13,045 
23,788 
26,285 
31,199 
15,643 

10.270 
36,016 
44,421 
11,999 
31,091 

20,493 
12,186 
34,560 
13,089 
14,601 

16,149 
13,032 
12,817 
10,122 
33,622 

17,756 
11,838 
33,085 
27,526 
26,674 

31,664 
13,143 
13,949 
14,013 
58.002 

16,249 
13,091 



Crime 
Index 
total 



381 

226 
1,619 

256 
3,462 

330 
450 
177 
241 
1,077 

444 
484 
115 
463 
1,930 

246 
1,487 
505 
562 
779 

176 
476 
274 
1,545 
623 

284 
1,860 
1,087 

255 
1,315 

515 
46 
572 
505 
170 

360 

272 

347 

164 

1,546 

651 

247 

2,167 

413 

680 

673 
305 
374 
380 
1,063 

156 
2281 



Modified' 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



383 
226 

1,640 
259 

3,503 

330 
451 
177 
241 
1,088 

446 
486 
115 
465 
1,931 

248 

1,493 

512 

564 

781 

178 
477 
276 
1,551 
624 

286 
1,867 
1.088 

256 
1.319 

515 
50 
575 
507 
173 

363 
276 
347 
164 
1,556 

652 

247 

2,176 

415 

680 

674 
305 
380 
380 
1,078 

160 
232 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



29 

24 

2 

117 

2 

3 



10 

4 

225 

6 

62 

2 

28 

7 



Burglary 



63 
6 

12 
25 
34 
14 
10 

17 

1 

18 

27 

6 

7 
12 
12 

3 
37 

28 

4 

261 

2 

7 

27 
4 

13 
5 

22 

1 
3 



Larceny- 
theft 



109 

93 
445 

68 
934 

64 
92 
35 
67 
210 

74 

77 

33 
123 
487 

62 
321 
104 
138 
149 

32 
98 
64 
365 
107 

44 
284 
231 

84 
175 

116 
16 

116 
69 
62 

103 
70 

131 
44 

524 

183 
58 

726 
70 

102 

150 
74 
33 
29 

393 

30 
38 



Motor 
vehicle 
theft 



241 
107 
819 
165 
2,217 

248 
310 
112 
149 
794 

333 

379 

76 

334 

1,097 

154 
1,083 
350 
353 
592 

129 
309 
168 
934 
489 

215 
1.251 
737 
127 
617 

317 

23 

403 

374 

62 

226 
162 
187 
109 
814 

350 
157 
871 
323 
544 

428 
138 
303 
326 
507 

108 
168 



19 
17 
76 
15 
135 

15 

17 
19 
11 
41 

25 

17 

4 

4 

259 

1 

32 
28 
50 

22 

10 
56 
36 
81 
15 

7 

269 

59 



21 

3 

41 



21 


1 


473 


4 


63 




5 


4 


24 


3 


26 


2 


33 


3 


21 


3 


22 


4 


15 




8 




140 


10 


65 


1 


26 




175 


9 


16 


2 


70 




53 


1 


79 




18 


6 


18 




109 


15 


13 


4 


15 


4 



103 



Table 5. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1983 — Continued 



City by Slarc 



PENNSYLVANIA — Continued 



Philadelphia 

Phoenixville 

Pillsburgh 

Plains Township.. 
Plum 



Plymouth Township . 

Pottslown 

Pottsville 

Radnor Township .... 
Reading 



Richland Township 

Ridley Township 

Ross Township 

Roslraver 

Salisbury Township 



ScoII Township 

Scranton 

Shaler Township 

Sharon 

South Fayette Township. 



South Park Township 

South Whitehall Township 

Spiingettsbury Township 

Springfield Township (Delaware County) 
Springfield Township (Montgomery County) 



Spring Garden Township.. 

Spring Township 

Slate College 

Sunbury 

Susquehanna Township 



Swatara Township 

Swissvale 

Towamencin Township. 
TredyfFrin Township..... 
Uniontown 



Upper Allen Township 

Upper Chichester Township,. 

Upper Darby Township 

Upper Dublin Township 

Upper Merion Township 



Upper Moreland Township 

Upper Providence Township 

Upper Saint Clair Township 

Upper Southampton Township.. 
Uwchlan Township 



Warminster Township . 

Warren 

Warrington Township.. 

Washington 

West Chester 



West Deer Township 

West Goshen Township 

West Manchester Township.. 

West MifTlin 

West Norriton Township 



Population 



1,692.354 

14,209 

426,890 

11.206 

25,529 

17.164 

22.840 
18.917 
27,683 
78,846 

14,167 
33,923 
35,290 
11,543 
12,328 

20.527 
87.893 
33.904 
19.148 
13.147 

13,612 
15,961 
19.749 
25.493 
20.359 

11.194 
17.256 
42.589 
12,328 
18,123 

18.835 
11,373 
11,162 
23,126 
14,542 

10,634 
14,450 
84,506 
22,448 
26,119 

25.785 
10.569 
19.050 
15.832 
10.230 

35.675 
12,230 
10,722 
18.420 
17.482 

10,961 
16.046 
12.835 
26.375 
14,1451 



Cnmc 
Index 
tola] 



89,764 
473 

30,842 
344 
340 

776 

1,463 

471 

776 

4,692 

305 
792 
606 
325 
187 

203 
3.477 
601 
932 
105 

170 
463 
671 
980 
411 

520 
134 
1.739 
397 
616 

1.137 
304 
204 
721 
969 

176 
419 

2,815 
388 

1,342 

709 
171 
216 
377 
122 

1,151 
405 
208 
986 

1,177 

165 
618 
725 
820 
526 



Modined' 
Cnmc 
Index 
total 



90.122 
477 

31,077 
346 
343 

776 

1,467 

474 

778 

4,764 

313 
792 
608 
325 
187 

203 
3,530 
603 
954 
106 

171 
468 
671 
986 
415 

521 
134 
1,743 
402 
618 

1,138 
308 
205 
728 
974 

176 
425 

2,846 
394 

1,345 

718 
171 
216 
377 
122 

1,170 

411 

211 

1.000 

1.177 

168 
523 
728 
834 
526 



Murder 
and non- 
negligent 

man- 
slaughter 



311 



Forcible 
rape 



822 

5 

214 



Robtjery 



10,744 
23 

4.198 
9 
4 

12 
40 

4 

2 

203 

5 
17 
18 

4 



Aggra- 
vated 
a&saull 



5 
128 

1 

25 
I 

3 
7 
1 
11 
10 



5.095 
23 

1,151 
4 
15 

32 
69 
16 

15 
247 

38 
23 

6 
14 

3 

7 

205 

2 

21 



6 
12 

7 
31 
11 

11 
1 
12 
10 
10 

13 
25 
8 
22 
57 

2 
43 
129 
21 
29 

10 
9 
2 

20 
5 

44 

7 
12 
46 
44 

29 

7 

2 
13 
18 



Burglary 



21,254 

119 

7,377 
89 
107 

162 
421 
125 
136 
1,420 

68 
152 
131 
71 
51 

49 
1.311 
157 
147 
32 

47 
79 
83 
135 
90 

74 
32 

253 
74 

158 

234 
80 
42 
151 
192 

49 
103 
541 

84 
237 

183 
81 
13 
84 
25 

317 

56 

84 

304 

256 

43 
107 

88 
175 
144 



Larceny- 
theft 



37,611 
290 

12,690 
220 
177 

467 
857 
302 
573 
2,545 

183 
491 
318 
192 
122 

111 

1.581 

382 

576 

55 

103 
351 
545 
595 
271 

414 

92 

1,425 

288 

415 

838 
136 
143 
490 
605 

118 
209 
1.732 
266 
893 

447 

62 

149 

239 

78 

721 
302 
86 
535 
771 

79 
448 
504 
358 

325I 



Motor 
vehicle 
theft 



13,926 

13 

5.170 

20 

35 

103 
65 
21 
49 

248 



104 
131 
43 
10 

29 

240 

47 

58 

9 

II 
10 
32 
208 
28 

18 
9 
35 
18 
13 



36 




47 




9 




53 




86 




5 




54 


6 


318 


31 


15 


5 


158 


3 


52 


9 


16 




48 




78 




II 




48 


19 


28 


6 


17 


3 


67 


14 


■57 




13 


3 


42 


5 


26 


3 


248 


14 


11 





104 



Table 5. — Number of Offenses Known to the Police, Gties and Towns 10,000 and over in Population, 1983 — Continued 



City by Suie 



PENNSYLVANIA — Continued 



Wiitehall 

Whitehall Township 

Whitemarsh Township. 

Whitpain Township 

WiUtes-Barre 



Williamsport 

Yeadon 

York 

Yorit Township 



RHODE ISLAND 



nBarrington 

Bristol 

Burnllville 

Central Falls.. 
Coventry 



Cranston 

Cumberland 

Ea.st Greenwich.. 
East Providence . 
Johnston 



Lincoln 

Middletown 

Narragansett 

Newport 

North Kingstown.. 

North Providence.. 
North Smithfield .. 

Pawtucket 

Poilsmouth 

Providence 



Smithfield 

South Kingstown . 

Tiverton 

Warren 

Warwick 



Westerly 

West Warwick . 
Wix)nsocket 



SOUTH CAROLINA 



Aiken 

Anderson 

Cayce 

Charleston City 
Columbia 



Conway 

Easley.. 

Florence 

Gaffney 

Georgetown.. 



Greenville ... 
Greenwood . 

Greer 

Hanahan 

Lancaster.... 



Population 



Cnme 
Index 
total 



Laurens 

Mount Pleasant 



15.056 
21.653 
15.108 
11,801 
51.418 

33.649 
11.839 
44.726 
17,956 



16.337 
20.360 
13,224 
17,064 
27.246 

72.632 
27.270 
10,306 
51.453 
25,075 

17,067 
17,418 
12,214 
29,550 
22,066 

29.499 
10,027 
71,721 
14,393 
158,053 

17,032 
20,609 
13,614 
10,723 
87,907 

18,698 
27,236 
46,320 



15,739 
29,629 
12,924 
73,805 
103,423 

10,884 
15,278 
32,133 
14,068 
10,773 

61,977 
22,971 
11,085 
13,897 
10,141 

11,039 
14,607 



Modified* 
Cnme 
Index 
toUll 



175 

955 

462 

343 

1,853 

1,807 
481 

3,378 
420 



436 
273 
290 
494 
923 

3,333 

731 

380 

1,919 

1,404 

827 
981 
707 
2,733 
873 

985 

285 

2,820 

321 

14,760 

266 

775 

486 

272 

4,996 

583 
1,113 
1,646 



1,168 
2,421 
635 
6,824 
10,323 

805 
651 

3,147 

737 

1,249 

5.904 

1.443 

926 

647 

872 

487 
990 



Murder 
and non- 
negligenl 

man- 
slaughter 



176 
972 
463 
344 
1.854 

1.822 
486 

3.415 
425 



443 
274 
294 
498 
931 

3.349 

740 

383 

1,944 

1.419 

832 
982 
708 
2.737 
874 

993 

288 

2.821 

321 

15.158 

268 
775 
491 
272 
5.063 

584 



Forcible 
rape 



1.113 


1 


1.646 




1,182 


2 


2,442 


8 


637 




6,857 


10 


10,357 


17 


811 


2 


656 


2 


3,166 


7 


744 


3 


1 257 




5,945 


11 


1,450 


2 


932 




651 




882 


4 


489 


1 


995 





Robbery 



22 

35 

103 

2 



Aggra- 
vated 
assault 



58 

2 

22 
3 

56 

1 

726 



Burglary 



8 
II 
14 
28 
15 

73 
13 
2 
46 
56 

27 
21 
18 
112 
35 

38 

6 

125 

5 

708 



29 

10 

459 

1 
44 
93 



16 


90 


44 


214 


11 


48 


322 


538 


408 


854 


12 


104 


8 


57 


113 


248 


7 


70 


21 


119 


170 


570 


30 


289 


19 


100 


15 


36 


12 


157 


6 


12 


14 


28 



Larceny- 
theft 



41 
159 
138 

65 

375 

358 

92 

1,022 

100 



120 
64 
70 
190 
219 

921 
144 
101 
511 

477 

157 
173 
266 
486 
217 

284 
107 
907 
104 
4,195 

81 
193 
172 

64 
941 

161 

245 
420 



385 

542 

154 

1,371 

2,228 

178 
109 
622 
192 
308 

1,196 
241 
180 
209 
169 



155 
310 



Motor 
vehicle 
theft 



103 
699 
232 
230 
1,218 

1,293 
267 

1,964 
306 



291 
182 
185 
205 
647 

1,865 
525 
239 

1,206 
703 

433 
733 
404 
1,781 
568 

505 
151 

1,378 
194 

6,028 

129 
536 
248 
180 



382 
751 
962 



632 
1,486 

390 
4,215 
6,320 

480 

445 

1,988 

422 

724 

3,644 
826 
588 
341 
501 



299 
575 



23 
68 
76 
35 
171 

65 

62 

178 

6 



15 
15 
20 
52 
29 

425 
45 
31 
137 
151 

206 
46 
16 

280 
51 

135 

1 

340 

17 

3,030 

46 
33 
34 
15 
674 

38 
58 
143 



42 
115 

31 
325 
437 



1 

17 
1 
1 
1 

15 

5 

37 
5 



16 
9 
3 
25 
15 

5 
1 
1 
4 



398 
2 
5 

67 
1 



14 
21 
2 
33 
34 



26 


6 


30 


5 


148 


19 


38 


7 


69 


8 


277 


41 


47 


7 


33 


6 


41 


4 


25 


10 


12 


2 


58 


5 



105 



Table 5. — Number of Offenses Known to the Police, Qties and Towns 10,000 and over in Population, 1983 — Continued 



Cily by Slale 



Population 



Cnmc 
Index 
total 



ModiHcd* 
Cnmc 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
Iheft 



Motor 

vehicle 

theft 



SOUTH CAROLINA — Continued 

Myrtle Beach 

Ncwbeiry 

North Augusta 

Notlh Charleston 

Orangeburg 

Rock Hill 

Spartanburg 

Sumter 

Union 

West Columbia 

SOUTH DAKOTA 

Aberdeen 

Brookings 

Mitchell 

Pierre 

Rapid City 

Sioux Falls 

Vermillion 

Watertown 

Yankton 

TENNESSEE 

Athens 

Bartlett 

Bristol 

Chattanooga 

Clarksville 

Cleveland 

Columbia 

Cookeville 

Dyersburg 

East Ridge 

Elizabethton 

Franklin 

Gallatin 

Germantown 

Greeneville 

Hendersonville 

Humboldt 

Jackson 

Johnson City 

Kingsport 

Knoxville 

Lawrenceburg 

Maryville 

McMinnville 

Memphis 

Millington 

Morrislown 

Murfreesboro ...., 

Nashville 

Oak Ridge 

Paris 

Red Bank 

Shelbyville 

Spnngfield 

Tullahoma 

Union Cily 



18.537 
10,431 
14,326 
58,881 
15.533 

37,244 
46,332 
26,294 
11,226 
10,968 



26.381 
15.170 
14.154 
12.170 
47,132 

82,503 
10,313 
15,899 
12.196 



12,409 
17,834 
24,718 
170.652 
56,337 

27.026 
23.683 
20.764 
16.223 
21.780 

12,790 
12,779 
17,346 
20.809 
14.457 

27.357 
10.530 
52.342 
40,729 
31,485 

187,838 
10,447 
17.997 
11.037 

664,883 
20,850 
20,184 
33,864 

465,887 

28,396 
11,021 
13,991 
13,808 
11,025 

16,277 
10.732 



3,036 

420 

640 

5.140 

1.660 

3,194 

4.391 

1,738 

441 

968 



1,038 
525 
845 
580 

3,415 

3,751 
327 
512 
566 



481 

397 

1,149 

13,051 

2,546 

1,332 
956 
803 
759 

1,203 

201 
635 
518 
404 
417 

459 

601 

3,828 

2,319 

1.923 

9,994 
306 
661 
530 

55.222 

375 

1.038 

2,068 

31.213 

1.543 
478 
434 
262 
493 

401 
379 



3,038 

423 

644 

5.161 

1.667 

3,203 

4,411 

1,741 

443 

969 



1.041 
526 

586 
3,455 

3,776 
330 
512 



489 

398 

1,154 

13,195 



1,344 
960 
811 
769 

1,213 

202 
636 
519 
404 
418 

459 

605 

3,878 

2,326 

1,931 

10,107 
310 
664 
535 

55,873 
375 

2,070 



1.547 
486 
435 
262 
493 



401 
382 



127 

2 

81 



763 
7 
6 
8 

324 

7 
3 



36 
8 
16 

274 
39 

59 
101 
50 
6 
24 



46 



23 



3 

7 

9 

293 

71 

13 
23 
4 
5 
13 

1 

II 
10 
4 



3 

7 

155 

50 

27 

370 
4 
14 
9 

4.493 

20 

3 

37 

1,713 

22 

10 

1 

4 
13 



47 
87 
60 
359 
106 

316 

240 

157 

37 

80 



19 
16 
33 
23 
102 

101 
8 
5 
14 



10 

10 

32 

867 

148 

77 
33 
30 
74 
49 



89 

28 

5 

1 

59 
81 
307 
27 
72 

485 

15 

6 

34 

2,181 
40 
27 
79 

1,171 

30 
42 
17 
10, 
29 

5 
11 



857 

62 

183 

1,440 

412 

751 
1.030 
404 
110 
195 



101 
51 
165 
104 

741 

701 
49 
82 

109 



99 

100 

261 

2,610 

809 

247 
238 
349 
136 
182 

56 

154 
112 
56 

77 

74 

211 

1,009 

507 

350 

2,984 

89 

236 

156 

18,224 

55 

167 

496 

8,601 

297 
86 



76 
184 



1,930 

248 

363 

2,622 

1,028 

1,967 

2,822 

1.054 

271 

609 



875 
440 
609 
429 
2,354 

2.746 
254 
408 
420 



348 

257 

805 

8,287 

1,346 



630 
379 
509 
881 

136 
349 
346 
316 
297 

303 

289 

2.173 

1.544 

1,324 

4.768 
161 
356 
302 

23,844 

218 

702 

1,342 

17,598 

1,105 
311 
287 
162 
248 

262 
280 



147 
10 
14 

396 
67 



170 
53 
13 
50 



29 


3 


18 


1 


36 




18 


6 


147 


40 


154 


25 


12 


3 


14 




19 




20 


8 


20 


1 


39 


5 


903 


144 


134 




101 


12 


27 


4 


38 


8 


32 


10 


76 


10 


7 


1 


26 


1 


20 


1 


19 




32 


1 


18 




8 


4 


153 


50 


178 


7 


142 


8 


1,285 


113 


32 


4 


48 


3 


28 


5 


5,590 


651 


35 




131 




106 


2 


1,725 




82 


4 


26 


8 


41 


1 


10 




17 




34 




18 


3 



106 



'able 5. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1983 — Continued 



Qty by Stale 



TEXAS 



Population 



Crime 
Index 
total 



109,003 
23,140 
17,876 

165.527 
12,217 

15,394 
178,871 

11,190 
381,091 

15,254 

19,908 
62,856 
130,976 
23,111 
16,186 

16,573 

11,1 

15,101 

27,618 

17,543 

12,101 

11,612 
93,015 
21.462 
49,119 

11.801 
12,987 
11,882 
29,856 
21,075 

10,581 
41,386 
19.906 
21.581 
256,020 

24,026 
998,827 
25,023 
33,141 
26,541 

53,095 
17,273 
11,022 
13,489 
30.550 

23,732 
26,331 
11.574 
471.749 
14.370 

26.617 
27.551 
13,096 
424.651 
14.692| 
11.8721 



6.285 

1.737 

874 

11.202 

177 

567 
12.219 

713 
29.812 

676 

1.275 
4.001 
9.710 
1.243 
586 

694 
449 
470 
2.394 
534 

412 

857 

6,024 

1,068 

3,459 

316 
675 
177 
2.759 
764 

575 

2.088 

1.211 

807 

20.700 

1.306 

107.808 

373 

1.450 

1,978 

3,337 
727 
456 
280 

1,346 

1,372 
1,379 

601 
29,202 

635 

1,543 

1,650 

621 

45,858 

985 

297 



Modified* 
Crime 
Index 
total 



Murder 
and non- 
negligent 

[nan- 
slaughter 



6,301 

1,745 

876 

11,260 

177 

568 
12,303 

713 
29,984 

693 

1,283 
4,028 
9,787 
1.252 
587 

708 
450 
474 
2.424 
541 

412 

861 
6.028 
1.076 
3.468 

318 
681 

177 

2,775 

768 

577 

2.091 

1.222 

812 

20.805 

1.338 

108.517 

376 

1,452 

1,989 

3,337 
738 
456 
281 



1,372 
1,383 

606 
29,719 

636 

1,547 

1,657 

622 

46,159 

993 

300 



Forcible 
rape 



2 
4 

1 

41 

3 
268 
1 
3 
1 

5 
1 



112 



2 

75 

3 

240 

4 

2 

24 
HI 

7 



Robbery 



5 
15 

4 

4 

145 



891 

3 
6 
3 

20 



1 

2 

1 

2 

4 

177 



454 
10 



125 

20 

8 

186 

1 

4 
186 

6 
665 

7 

13 

87 

441 

11 

6 

23 
5 
12 

23 
5 

6 
4 
113 
II 
61 



Aggra- 
vated 
assault 



2 

24 

18 

9 

495 

19 

4,914 

9 

12 

20 

41 
6 
3 
3 

19 



865 
9 

15 
40 
32 
2,020 
14 
2 



210 
66 
20 

588 
13 

41 
317 

46 
571 

24 

169 
216 

557 

22 

2 

21 

34 

6 

377 
14 

12 

78 
238 

25 
183 



14 
10 
49 

24 

45 
36 
66 
45 
561 

30 

5,405 

18 

101 

260 

156 
18 
4 
4 
14 

42 
108 
23 
3.200 
33 

37 
29 
7 
2.518 
51 
16 



Burglary 



Larceny- 
theft 



1.425 
492 
190 

2.904 
38 

117 
2,886 

216 
7,966 

177 

307 

1,003 

2,846 

338 

205 

154 
121 
112 
661 
113 

65 
195 

1,743 
246 

1,081 

77 
129 

42 
722 

93 

98 

406 

243 

202 

5,189 

322 
29.576 
148 
310 
572 

602 
212 
268 
61 
342 

216 
368 
151 
7,375 
145 

387 
447 
253 
12,782 
268 
89 



Motor 
vehicle 
theft 



4,231 
1,103 

558 
6.909 

119 

372 

7.754 

423 

18.889 

419 

734 

2.255 

5.106 

792 

326 

449 
275 
308 
1.223 
373 

306 
542 

3.121 
736 

1,941 

209 
475 
121 
1,820 
594 

405 

1,512 

754 

520 

12.972 

855 

59,593 

157 

939 

1,047 

2,364 
441 
156 
200 
899 

1,065 

841 

390 

15,380 

427 

999 
1,028 
267 
24.456 
610 
171 



255 
46 
95 

545 
6 

30 

994 

18 

1,423 

44 

47 

410 

629 

73 

46 

46 
13 
30 
96 
24 

21 

32 
773 

48 
176 

19 
48 



127 


16 


45 


4 


20 


2 


93 


3 


122 


11 


26 


5 


1,297 


105 


69 


32 


7,161 


709 


37 


3 


79 


2 


75 


11 


149 




49 


11 


75 




11 


1 


69 




47 




52 


4 


25 


5 


2,172 


517 


19 


1 


100 


4 


98 


7 


61 


1 


3.516 


301 


32 


8 


18 


3 



107 



Table 5. — Number of Offenses Known to the Police, Qties and Towns 10,000 and over in Population, 1983 — Continued 



City by Slate 



Population 



Cnmc 
Index 
total 



Modified* 
Cnmc 
Index 
total 



Murder 
and non- 
ncgligenl 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
a&sault 



Burglai> 



Larceny- 
theft 



Motor 
vehicle 
theft 



TEXAS — Continued 

Gainesville 

Galena Park 

Galveston 

Garland 

Georgetown 

Graham 

Grand Prairie 

Grapevine 

Greenville 

Groves 

Hallom City 

Harlingen 

Henderson 

Hereford 

Houston 

Huntsville 

Hurst 

Irving 

Jacksonville 

Kerrville 

Kilgore 

Killeen 

Kingsville 

Lake Jackson 

La Marque 

Lamesa 

La Porte 

Laredo 

League City 

Levelland 

Lewisville 

Longview 

Lubbock 

Lufkin 

Marshall 

McAllen 

McKinney 

Mercedes 

Mesquite 

Midland 

Mineral Wells 

Mission 

Missouri City 

Mount Pleasant 

Nacogdoches 

Nederland 

New Braunfels 

North Richland Hills 

Odessa 

Orange 

Palestine 

Pampa 

Paris 

Pasadena 

Pearland 



15,668 
10,916 
68,357 
153,967 
10,395 

10,023 
79.167 
13,022 
24,290 
18,815 

32,184 

47,923 

12,578 

17,553 

1,728,783 

26,572 
34,898 
121,631 
13,461 
17,038 

12,477 
51,206 
31,908 
21,196 
16,944 

13,081 
15,382 
101,266 
18,311 
15,408 

26.793 
67,203 
193,275 
31.657 
27.436 

72.007 
17.723 
13.180 
74.298 
78.000 

16.099 
24.833 
28.099 
11.984 
30,075 

18,681 
24,657 
31,052 
99,545 
25,980 

17,539 
23,762 
27,895 
124,155 
13,698 



465 

245 

5.103 

5.725 

250 

112 

5.1 

755 
2.127 

572 

2.019 

2.944 

567 

695 

151.565 

1.164 

2.301 

8.552 

466 

554 

728 

4,098 

1.534 

517 

487 

458 

728 

7.258 

1.084 

541 

1.803 
4.870 
17.547 
1.788 
1.547 

4.824 
1.178 
751 
5.169 
4.477 

794 

1.675 

948 

296 

1.184 

551 
1.093 
1.719 
9.083 
1.750 

1.085 
1.227 
2.732 
5,550 
594 



455 

253 

5,150 

5,762 

260 

112 
5.813 

759 
2.129 

572 

2.026 

2,955 

568 

699 

153,352 

1,155 

2,307 

8,658 

456 

574 

733 

4.199 

1.542 

519 

488 

452 

737 

7.290 

I.09I 

544 

1.811 

4.888 

17,836 

1,789 

1,548 

4,858 

752 
5,199 
4,505 

794 

1.577 

955 

304 

1,184 



1.097 
1.732 
9.153 
1.762 

1.087 
1.234 
2.760 



4 
1 

3 
2 
2 
3 
561 

3 
3 

10 
1 
6 

3 
8 
6 

3 



608 



30 

3 
8 

2 

10 
9 
5 
2 
1.179 

7 
6 
38 
1 
I 

2 

60 
6 



3 
2 

32 
7 
I 

3 
48 
125 



6 

5 

290 

95 

3 



104 
II 
33 
15 

26 
46 
10 



10,270 

II 

55 
145 

7 
7 

9 

no 

9 

I 

10 

3 

13 

124 

9 



18 

152 

303 

28 

30 

64 

12 

7 

84 

75 

4 
15 
23 

3 
25 

14 

22 
26 
159 
71 

12 

4 

38 

159 



22 

2 

484 

145 

4 

3 
279 

18 
324 

12 

17 
91 
21 
30 
3,909 

72 
62 

407 
24 
26 

13 
135 
82 
13 
22 

43 
39 
319 
38 
58 

37 

148 

1,245 

81 
135 

136 

81 

32 

132 

309 

48 
89 
37 
8 
53 

23 
81 

27 
287 
154 

84 
139 
216 
371 

20 



137 

96 

1,665 

1,629 

91 

43 

1,245 

193 

443 

197 

542 
793 
135 

132 
41,613 

271 

492 

1.868 

84 

258 

203 

1.221 

419 

85 

154 

100 
249 
2.153 
394 
223 

371 

1.321 

5.139 

389 

363 

1.281 

332 

304 

1,082 

1,654 

214 
533 
343 
74 
388 

245 
314 
455 

2,327 
510 

245 

300 

556 

1.845 

1771 



259 

124 

3,091 

4,476 

142 

49 
3,607 

472 
1,256 

324 

1.243 

1,823 

362 

507 
63.235 

748 

1.535 

5,443 

323 

356 

441 

2,387 
969 
382 
258 

298 
378 
4,248 
575 
317 

1,252 

2,932 

10,030 

1,205 

946 

2.937 

689 

373 

3,457 

2,052 

494 
999 
489 
193 
637 

337 

623 

1,073 

5,772 

855 

688 

730 

1,787 

3,387 
3301 



55 



108 



abl< 



5. — Number of Offenses Known to the Police, Qties and Towns 10,000 and over in Population, 1983 — Continued 



City by State 



TEXAS — CoDtinued 



haiT 

lainview 

lano 

Drt Arthur.... 

ortland 

ort Lavaca.... 
ort Neches... 
laymondville . 
Jchardson 



Jchmond 

.obstown 

osenberg 

ound Rock. 
an Angelo... 



an Antonio . 
an Benito... 
an Marcos .. 

eguin 

hennan 



nyder 

outh Houston... 

tephenville 

ulphur Springs . 
weetwater 



aylor 

emple 

erreU 

exarkana.. 
exas City . 



"he Colony 

"yier 

Jniversal City... 
.Iniversity Park.. 
.Ivalde 



/emon .. 
/ictoria . 

/idor ... 
I'llUige... 
vV'aco .... 



Watauga 

Waxahachie 

Weatherford 

Weslaco 

West University Place . 

Wharton 

While Settlement 

Wichita Falls 



UTAH 



American Fork 

Bountiful 

Bngham City.... 

Cedar City 

Clearfield 



KaysviUe.. 

Layton 

Logan 

Midvale ... 
Murray 



Population 



Cnme 
Index 
(olal 



14,252 
23,496 
24,521 
79,856 
72,121 

13,324 
12,109 
15,434 
10,372 
80,273 

10.774 
13,302 
15,798 
12,907 
81,162 

874,483 
19,825 
25,682 
19,828 
33,666 

14,061 
14,628 
13,107 
14,214 
13,580 

11,613 

47,165 
14,913 
34,409 
44,912 

12,880 
77,672 
11,930 
23,804 
15,833 

14.107 
56,263 
13,106 
18,920 
112,374 

11,440 
16,222 
13,356 
21,158 
13,286 
10,004 
14.891 
103,803 



13.403 
36,601 
17,283 
15,531 
19,907 

10,880 
25.086 
29,823 
11.365 
28,194 



Modified* 
Crime 
Index 
total 



668 
1,406 
1,518 
2.933 
3.257 

448 
533 
460 
304 
3.144 

385 
832 
999 
568 
4.926 

70.398 
1.007 
1.788 
1.243 
2,575 

376 
868 
406 
582 
804 

492 
2.091 

806 
2.731 
3.072 

625 
7.028 
538 
832 
497 

423 

3.404 

591 

312 

8,966 

381 
796 
852 

1,618 
473 
530 
679 

7,656 



552 
1,103 
684 
386 
556 

339 

1,249 

725 

694 

3,052 



Murder 
and non- 
negligent 

man- 
slaughter 



668 
1,410 
1,531 
2.949 
3.284 

448 
535 
466 
304 
3.191 

386 

836 

1,004 

570 



71,007 
1.007 
1,790 
1,252 
2.586 

377 
869 
406 
587 
804 

493 
2.114 

806 
2,753 
3.093 

626 
7,049 
539 
832 
499 

431 

3,420 

598 

314 

9,035 

390 
803 
862 

1,622 
473 
531 
679 

7,750 



552 
1,108 
688 
386 
560 

339 

1,261 

725 

697 

3,056 



Forcible 
rape 



165 
2 
1 
4 
3 



Robbery 



519 


2,403 


3 


1 


13 


26 


5 


16 


3 


28 


3 


4 


5 


37 



3 
11 
7 

36 
135 



64 



65 



Aggra- 
vated 
assault 



2 

70 
21 
45 
43 

4 

130 

7 

16 



6 
34 
19 

8 
228 

3 

13 
11 

8 
15 

4 

6 
236 



Burglary 



42 
34 
80 
65 
208 

3 

26 

6 

8 

45 

22 
31 
80 
18 
317 

2,240 
46 
118 
137 
104 

27 
48 
24 
40 
124 

29 
25 
47 
140 
264 

32 

230 

42 

5 

26 

35 
226 

22 

8 

424 

6 

65 

21 

108 

2 

32 

4 

465 



Larceny- 
theft 



158 
332 
342 
660 
902 

98 
135 
101 
111 
761 

122 
307 
232 
113 
1,021 

22,268 
346 
430 
334 
705 

57 
200 

67 
127 
265 

118 
438 
204 
729 
812 

197 
1,716 
128 
87 
117 

105 

1,088 

139 

129 

2,561 

115 
170 
266 
601 
124 
99 
106 
2,188 



72 
197 
60 
56 
104 

60 
263 
116 
150 
446 



Motor 
vehicle 
theft 



447 

948 

1,039 

2,014 

1,854 

319 

358 

302 

177 

2,098 

209 

448 

580 

408 

3,252 

37,067 
550 

1,096 
705 

1,622 

275 
451 
308 
374 
379 

334 
1,455 

496 
1,641 
1,742 

367 
4.617 
325 
694 
320 

253 

1.941 

360 

154 

5.366 

241 
513 
482 
811 
318 
381 
513 
4,255 



405 
814 
543 
278 
399 

258 
911 
544 
470 
2,389 



14 ... 

78 

35 
147 
128 

23 .. 
13 
36 
8 .. 
164 

22 
30 
82 
16 
243 

5,736 

59 
104 

42 
110 

9 
127 

4 .. 
32 
26 . 

6 

91 

33 , 
161 
195 

24 
284 
30 
26 . 
30 

22 
98 
46 
12 
316 

14 
28 
66 
86 
14 
10 
47 
431 



21 
42 
20 
21 

23 



54 
39 
34 
140 



4 
13 
16 
27 



2 
6 

47 

1 
4 
5 
2 



609 

2 
9 
II 



1 

23 

22 
21 

1 

21 

1 



16 

7 

2 

69 

9 
7 
10 
4 



94 



109 



Table 5. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1983 — Continued 



Cily by Slalc 



Population 



Cnmc 
Index 
total 



Modified* 
Cnmc 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
then 



Motor 
vehicle 
Iheft 



UTAH — Continued 



Ogden 

Orem 

Pleasant Grove.. 

Piice 

Provo 



Roy 

Saint George.... 
Sail Lake City . 

Sandy 

Soulh Ogden... 



South Salt Lake 

Spanish Fork 

Springville 

Tooele 

West Jordan 



West Valley 



VERMONT 



Brattleboro 

Colchester 

South Burlington.. 



VIRGINIA 



Alexandna 

Alexandria State Police. 

Arlington 

Arlington State Police... 
Blacksburg 



Bristol , 

Bristol State Police 

Charlottesville 

Charlottesville State Police. 
Chesapeake , 



Chesapeake State Police . 

Christiansburg 

Colonial Heights 

Danville 

Danville State Police 



Fairfax City 

Fairfax Cily State Police 

Fredericksburg 

Fredericksburg State Police . 
Front Royal 



Hampton 

Hampton State Police 

Hamsonburg 

Harrisonburg Slate Police.. 
Hemdon 



Hopewell 

Lynchburg 

Lynchburg State Police . 

Manassas 

Martinsville 



Martinsville State Police 

Newport News 

Newport News State Police.. 

Norfolk 

Norfolk State Police 



71,524 
58.239 
11.858 
10.134 
82.137 

21.884 
12.574 
180.892 
56.170 
12.606 

11,639 
10,920 
13,312 
15,905 
29,564 

79,910 



12,198 
12,962 
10,980 



106.856 
158,350 



32,033 
19,887 



41,498 
118,587 



10,741 
17,246 
47,786 



20.230 
15,867 



ll,62S 

127.592 



20,552 
11,889 



24,358 
69,733 



16,081 
18,697 



150.974 
274,122 



6.217 

2.380 

294 

392 

2,813 

916 

571 

18,763 

2,159 

508 

1.705 
443 
537 
655 

1,665 

5,053 



954 
723 
954 



7,982 
17 

7,614 
10 

1,069 

899 

5 
3.550 

2 
4,541 



413 

504 

1,353 

1 

1,153 

1 

1,241 

9 

628 

6,978 

9 

1.136 

1 

608 

1.268 

3,675 

2 

488 

1,438 

2 

7,548 

6 

19,951 

27 



6,225 

2,386 

296 

393 

2,823 

916 

571 

18.816 

2,164 

510 

1,711 
443 
537 
657 

1,669 

5,083 



958 
724 
954 



8,024 
17 

7,729 
10 

1.077 

911 
6 

3,570 

2 

4,591 



416 

505 

1,355 

I 

1.168 

1 

1.244 

9 

630 

7,022 

9 

1,138 

1 

609 

1,276 

3,715 

3 

489 

1,439 

2 

7,597 

6 

20.146 

27 



20 



3 
128 

7 
1 



24 



55 
150 



92 
8 
1 
6 

19 

6 

3 

523 

19 

3 

22 



449 
284 



3 

9 

63 

123 



6 

125 
9 



271 



152 
25 
2 
23 
76 

77 

4 

498 

65 



302 

1 

375 



37 



23 

1 

156 



235 



20 

174 



65 

283 

1 

4 
61 



1.063 
3 



377 
915 



1.479 

291 

49 

50 

442 

145 

77 

4.214 

423 

100 

377 

56 

89 

143 

234 

1,173 



158 
177 
210 



1,812 



1,382 

1 

251 

182 

630 



1,285 

1 

85 
49 

247 



174 
264 
130 
1,413 
207 
121 



291 
710 



103 
238 



1 
2,041 



4.140 

1.974 

228 

291 

2,177 

655 

439 

12.356 

1,536 

373 

1,117 

370 

428 

444 

1,342 

3,335 



701 
513 
680 



4.855 

II 

5,021 

9 

732 

648 

4 

2,530 

2 

2,663 

7 
297 
427 
968 



896 
1 

865 
9 

433 

4.876 
6 

868 
1 

433 

824 

2.470 

1 

343 
1,056 



4,219 
1 



4,373 

4 

12,593 

14 



291 
75 
13 
16 
92 

33 
45 
1.030 
109 
23 

154 
15 
16 
41 
41 

327 



39 
24 
44 



510 

5 

479 



43 
30 
14S 



31 
9 

48 
1 



62 

37 

350 
3 

27 



26 



46 
119 



29 
51 

1 
411 

2 
980 



110 



Table 5. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1983 — Continued 



Cily by State 



VIRGINIA — Continued 



Petersburg 

Petersburg State Police... 

Portsmouth 

Portsmouth State PoUce . 
Pulaski 



Radford 

Richmond 

Richmond State Police., 

Roanoke 

Roanoke State Police ... 



Salem 

Salem State Police ... 

Staunton 

Suffolk 

Suffolk State Police.. 



Vieima 

Virginia Beach 

Virginia Beach State Police 

Waynesboro 

Williamsburg 



Winchester 

Winchester State Police.. 



WASHINGTON 



Aberdeen .... 

Auburn 

Bellevue 

Bellingham.. 
Bremerton... 



Centralia... 
Edmonds ... 
EUensburg.. 

Everett 

Hoquiam.... 



Kelso 

Kennewick.. 

Kent 

Kirkland . . 
Lacey 



Longview 

Lynnwood 

Mercer Island ......... 

Moses Lake 

Mountlake Terrace. 



Mount Vernon. 

Oak Harbor 

Olympia 

Pasco 

Port Angeles... 



Pullman. . 
Puyallup .. 
Redmond . 
Renlon .... 
Richland.. 



Population 



42,647 

108,497 

10,524 

13,786 
228,768 



103,919 



24,993 



22,704 
49,492 



16,157 
271,775 



15,883 
10,320 



20,949 



Crime 
Index 
total 



Seattle .... 
Spokane .. 



19.605 
26,970 
77,070 
47,823 
37,442 

1 1.495 
29,038 
12,279 
56,817 
10.155 

11,610 
35,139 
24.238 
19.455 
14,554 

32.464 
22,859 
21,948 
11,098 
16,362 

13,598 
12,835 
28.709 
17,787 
18.390 

24,846 
18.991 
24,184 
31.245 
35.033 

514,319 
178.753 



3.376 
4 

5,405 

3 

645 

354 

23.079 

37 

8.421 



813 
1 

960 

2.295 

2 

506 

14,496 

22 

507 

538 

1.224 
4 



1,934 
2.573 
4.934 
3.813 
2.577 

914 
1,052 

776 
5.362 

626 

777 
2,504 
2,490 
1.367 

892 

2.619 

2.049 

688 

738 

1,235 

1.249 
488 
1.900 
2,061 
1.315 

456 
1.172 
1,473 
3.233 
1.376 

53.039 
12,494 



Modified* 
Cnme 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



3.385 
5 

5,595 

3 

649 

354 

23.185 

41 

8,536 

7 

811 

966 

2,316 

2 

508 

14.610 

23 

511 

539 

1.226 



1,937 
2,583 
4.950 
3,849 
2.599 

924 
1,054 

776 
5,413 

629 

781 
2.542 
2,514 

899 

2.633 

2.064 

692 

742 

1,244 

1,253 
488 
1.904 
2,102 
1.326 

461 
1.185 
1,482 
3.238 



53,359 
12,584 



Forcible 
rape 



6 
194 



29 



73 



Robbery 



112 



260 



434 
32 



1 

1,489 

9 

187 

2 



6 

252 



3 
10 



Aggra- 
vated 
assault 



19 
31 

44 
28 
31 

6 
9 

3 
87 

2 

10 
13 

25 
17 



1 
18 

4 
34 
10 

2,032 
267 



124 
126 



28 

7 

1,193 

4 

224 

1 



25 
193 



Burglary 



20 

251 

1 

10 

9 

55 



64 

47 
129 
100 
141 

36 
14 
17 
125 
14 

10 
55 
38 
38 
18 

35 
39 
4 
24 
112 

21 
9 
32 
75 
20 

9 
37 
60 
62 
35 

2,2911 

472 1 



1.032 

1 

1,254 



122 



72 
7.487 



2.098 



111 



199 
663 



93 
2.928 



Larceny- 
theft 



144 



544 
488 
1,269 
794 
455 

185 
275 
153 
1.398 
214 

182 
451 
558 
268 
168 

619 
423 
124 
120 
346 

226 
78 
339 
631 
299 

74 
225 
340 
754 
313 

12.999 
3,416 



1.968 
1 

3,501 

3 

441 

246 

11,754 

20 

5.598 

2 

638 



708 

1,301 

1 

354 

10.449 

20 

401 

417 

961 
4 



Motor 
vehicle 
theft 



1,256 
1.886 
3,303 
2.744 
1.821 

646 
708 
577 
3.445 
371 

530 

1.914 

1.709 

983 

683 

1.849 

1,457 

538 

564 

720 

961 

388 
1,437 
1,235 

940 

354 

836 

1.030 

2.219 

965 

32.910 
7.780 



104 

1 

212 



39 

21 

901 

2 

275 



35 



16 
60 



30 
532 



21 
21 



43 



40 
106 
151 
131 

83 

38 
43 
24 
266 
20 

36 
59 
144 
51 
18 

83 
100 
13 
22 
37 

36 
7 , 
66 
68 
44 

12 
49 

31 
147 
45 

2.312 
509 1 



9 

1 

190 



106 

4 

115 



6 

21 



2 
114 
1 
4 
1 

2 



3 

10 
16 
36 
22 

10 
2 

51 

3 

4 
38 
24 



14 

15 
4 
4 
9 



41 

11 

5 
13 
9 
5 



320 
90 



111 



Table 5. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1983 — Continued 



City by Stale 



Population 



Cnmc 
Index 
total 



Modified* 
Cnmc 
Index 
total 



Murder 
and non- 
negligenl 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
then 



WASHINGTON — Continued 

Tacoma 

Vancouver 

Walla Walla 

Wenatchcc 

Yakima 

WEST VIRGINIA 

Beckiey 

Bluefield 

Charleston 

Fairmont 

Huntington 

Martinsburg 

Morgantown 

Moundsville 

Parkersburg 

Saint Albans 

Vienna 

Weirton 

Wheeling 

WISCONSIN 

Appleton 

Ashwaubenon Village 

Beaver Dam 

Bcloit 

Brookfield 

Brown Deer 

Caledonia 

Chippewa Falls 

Cudahy 

De Pere 

Eau Claire 

Fitchburg 

Fond du Lac 

Franklin 

Germantown 

Glendale 

Green Bay 

Greendalc 

Greenfield 

Janesville 

Kaukauna 

Kenosha 

La Crosse 

Madison 

Manitowoc 

Marinette 

Marshfield 

Menasha 

Menasha Town 

Menomonee Falls 

Menomonic.. 

Mequon 

Middleton 

Milwaukee 

Monroe 



165,275 
44,417 
26,712 
18,048 
51,721 



20.697 
16.163 
63,367 
24,304 
64,753 

13,307 
28,053 
12,625 
40,100 
12,452 

11,685 
25.516 
43.708 



59,616 
14,799 
14,341 
35,428 
34,535 

13,122 
21,214 
12,453 
19,816 
15,266 

52.301 
12.093 
36.370 
17.103 
10.883 

14.061 
89.244 
17.161 
31.907 
51.732 

11.485 
78.976 
48.914 
172.180 
33.014 

12.144 
17,975 
14,958 
11,555 
28,240 

12,885 
16,389 
11,737 
643,473 
10,168 



18,733 
3.140 
2.525 
1.855 
5.766 



1.135 
631 

6.456 
949 

5.044 

745 
665 
561 
2.394 
554 

389 

421 

1.478 



2.972 

868 

649 

3.500 

1.457 

420 
468 
508 
1.131 
512 

2,833 
449 

1,828 
388 
463 

1.350 
5.719 
784 
1.905 
2.920 

457 

5.498 

3.755 

12.486 

1.742 

632 
680 
863 
626 
973 

852 
288 
469 
47,408 
345 



18,839 
3.154 
2.538 
1.869 
5.881 



6.499 

5.135 

759 

565 

554 

389 

426 

1,497 



2,983 

868 

649 

3,514 

1,457 

420 
476 
514 
1,147 
512 

2.841 
449 

1,831 
389 
466 

1.350 
5.783 
785 
1.913 
2.941 

458 

5,532 

5,780 

12.548 

1,748 

636 
684 
870 
632 
982 

855 
293 

47.608 
345 



194 
33 
15 
12 
31 



10 



534 
48 
18 
21 

109 



II 
16 

216 
21 

194 

26 

7 

2 

29 

3 

4 
12 
63 



173 
6 

162 
2 

2 
1 
1 
1 
3 



909 
86 

151 
44 

232 



110 
5 

1 

7 

7 

25 



235 



2.198 



6 
147 

5 

10 
48 

42 
61 

37 

185 

12 

38 
30 
6 
16 
16 



3 

1,236 

4 



5.727 
929 
530 
258 

1,008 



629 

83 

43 

698 

264 

58 
101 

98 
299 
104 

664 
101 
278 
130 
85 

72 
752 

32 
265 
721 

103 
1.288 

630 
2.678 

384 

81 
78 
191 

89 

229 

90 
60 
106 
8,873 
55 



10.490 
1.862 
1.721 
1.459 
4.213 



10 


152 


913 


19 


155 


402 


292 


1.595 


3.924 


11 


268 


598 


273 


1.286 


2,964 


9 


149 


521 


42 


168 


378 


2 


164 


351 


32 


685 


1,511 


2 


96 


417 


9 


38 


330 


7 


179 


175 


42 


584 


654 



2,160 

755 

597 

2.542 

1.151 

341 
340 
391 
750 
387 

2,033 
312 

1.430 
228 
357 

1.206 
4,601 
709 
1.517 
2.054 

301 
3,644 
2.995 
9.016 
1.298 

488 
553 
647 
494 
680 

729 
217 
353 
30.216 
280 



865 
18 



61 

173 



46 

36 

393 

44 
294 

38 
69 
41 
116 

33 



47 
122 



52 
21 
9 
92 
34 

12 
10 
8 
29 
13 

68 
21 
47 
25 
11 

51 
171 

35 
99 
72 

11 
289 

82 
359 

37 

23 
17 
17 
26 
42 

28 

6 

7 

4.599 

6 



112 



Table 5. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1983 — Continued 



Cily by State 



Population 



Cnme 
Index 
total 



Modified* 
Cnme 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



WISCONSIN — Continued 

Mount Pleasant 

Muskego 

Neenah 

New Berlin 

Oak Creek 

Oconomowoc 

Oslikosh 

Racine 

Saint Francis 

Sheboygan 

Shorewood 

South Milwaukee 

Stevens Point , 

Superior 

Two Rivers 

Watertown , 

Waukesha 

Wausau 

Wauwatosa 

West Bend 

Whitefish Bay 

Whitewater 

Wisconsin Rapids 

WYOMING 

Casper 

Cheyenne 

Gillette 

Green River 

Laramie , 

Rawlins 

Riverton 

Rock Springs 

Sheridan 



19,633 
15,519 
22,739 
30,967 
17,149 

10,003 
50,350 
86,419 
10,114 
48,841 

14,557 
21,411 
23.291 
30,049 
13,539 

18,348 
50,473 
30,903 
52,036 
21,745 

15,165 
11,660 
18,278 



55,610 

51,741 
13,289 
14,013 
26,676 

12,587 
10,487 
21,279 
16,590 



420 
316 
1,194 
802 
632 

359 

2,913 

6,581 

407 

2,799 

574 

848 

1,534 

2,126 

424 

716 
1,374 
1,909 
2,380 
1,053 

346 
363 
980 



3,185 

2,886 

802 

369 

1,049 

621 

662 

1,290 

686 



429 

1,214 
823 
632 

361 
2,926 
6,626 

417 
2,818 

577 

868 

1,547 

2,135 

425 

717 
1.382 
1.911 
2.389 
1,062 

347 
364 
980 



3.200 

2.898 

803 

369 

1,049 

623 

666 

1,298 

696 



6 
1 

2 
3 

4 

2 

14 

235 

6 
13 

23 
6 

7 
12 

5 

5 
9 
9 
39 
3 

4 
1 
3 



7 


115 


262 


1 


44 


250 


8 


198 


957 


13 


234 


534 


3 


163 


431 


8 


50 


282 


17 


497 


2,321 


357 


1,622 


4,167 


28 


110 


239 


24 


611 


2,106 


7 


149 


375 


38 


154 


627 


45 


284 


1,147 


3 


444 


1,585 


6 


95 


302 


3 


180 


513 


20 


304 


970 


110 


272 


1,446 


28 


433 


1,774 


28 


113 


884 


6 


41 


286 


1 


40 


306 


40 


177 


739 



123 

38 

24 

7 

7 

41 
20 

77 
14 



698 


2,232 


350 


2,363 


107 


619 


72 


278 


118 


876 


128 


414 


59 


550 


223 


882 


114 


529 



23 
17 
26 
18 
28 

16 
60 
160 

22 
42 

16 

21 
47 
67 
16 

14 
59 
55 
103 

25 

9 
14 
21 



20 
21 



2 
13 
45 
10 
19 

3 
20 
13 
9 
1 



101 


15 


87 


12 


35 


1 


11 




30 




28 


2 


22 


4 


82 


8 


22 


10 



1982 and 1983 aggravated assaull figures are not comparable. 
1982 and 1983 Crime Index figures are not comparable. 



113 



Table 6. — Number of Offenses Known to the Police, Universities and Colleges, 1983 

•Arson is shown only if ]2 months of arson dala were received. Leaders (...) indicate zero data. 



University/ College 



Student 
enroll- 
mcnl' 



Violent' 
crime 
total 



Violcni Cnmc 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Property' 
cnmc 
total 



Property Crime 



Burglary' 



Larceny- 
thefl 



Motor 
vehicle 
theft 



ALABAMA 

Auburn University 

Jacksonville Stale University , 

Troy State University , 

University of Alabama. Tuscaloosa .. 

ARIZONA 

Arizona Stale University 

Central Arizona College , 

Pima Community College , 

University of Arizona 

Yavapai College 

ARKANSAS 

University of Arkansas: 

Fayetteville 

Little Rock 

Medical Science 

CALIFORNIA 

California State College: 

Bakersfield 

San Bernardino 

Stanislaus 

California State Polytechnic University 

Pomona 

San Luis Obispo 

California State University: 

Chico 

Dominguez Hills 

Fresno 

FuUerton 

Hayward 

Long Beach 

Los Angeles 

Northridge 

Sacramento 

San Diego 

San Francisco 

San Jose 

College of the Sequoias 

Humboldt State University 

Long Beach Community College 

Mann Community College 

Merced Community College 

San Jose Community College 

Sonoma State University 

University of California: 

Berkeley 

Davis 

Irvine 

Lawrence Berkeley Laboratory 

Lawrence Livermore Laboratory 

Los Angeles 

Riverside 

Sacramento 

San Diego 

San Francisco 

Santa Barbara 

Santa Cruz 

West Valley College 



17,125 
5,547 
5.829 

14.700 



31.014 

2.772 

11.433 

25.285 

1.986 



14.030 
6.629 
1.283 



2.498 




3,807 


8 


3,056 




14,055 


2 


14,318 


6 


12,899 


7 


6,619 


6 


13,864 


9 


17,503 


4 


9,251 


1 


24,762 


11 


15,516 


3 


21,423 


2 


17,645 


4 


25.592 


7 


19,129 


33 


19,693 


15 


4.141 




6.481 


3 


11.000 


22 


3.905 


3 


3.983 


4 


6.074 


2 


4.500 


3 


28,092 


32 


18,593 


6 


10,820 


5 


(') 




(') 




33,259 


27 


4,577 


3 


(*) 


5 


12,687 


6 


3,819 


5 


15,857 


11 


6.625 


9 


7.891 


6 



496 

190 

58 

637 



905 

47 

125 

1.405 

45 



395 

11 

214 



57 
120 
176 

177 
338 

319 
232 
401 
414 
164 
508 
485 
433 
395 
998 
489 
422 
54 
210 
168 
97 
96 
107 
134 

1,702 

1,038 

510 

54 

162 

2.210 

229 

275 

723 

380 

698 

349 

156 



64 



151 
2 



21 
18 
5 

5 
67 

25 
96 
38 
4 
20 
12 

147 
14 
45 

137 
14 
16 
7 
17 
15 
17 
10 
7 
33 

91 

73 

20 

3 



399 
26 
15 
54 
10 
62 
65 
2 



456 

181 

57 

570 



36 


849 


11 


36 


6 


119 


163 


1,213 


6 


39 



233 
114 
210 



35 
95 
171 

152 
265 

290 

HI 

350 

387 

142 

441 

269 

388 

340 

808 

449 

397 

47 

193 

124 

78 

85 

95 

100 

1,572 

952 

483 

51 

162 

1.654 
192 
259 
642 
362 
630 
271 
154 



20 



29 



11 
4 
2 



20 
6 

4 
25 
13 
23 

2 
55 
69 
31 
10 
53 
26 

9 



29 
2 
1 
5 
1 

39 
13 
7 



157 
11 
1 
27 
8 
6 
13 



114 



fable 6. — Number of Offenses Known to the Police, Universities and Colleges, 1983 — Continued 



Univereity/College 



Student 
etiroll- 
ment' 



Violent' 
cnme 
total 



Violent Crime 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Property' 
cnme 
total 



Property Cnme 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



COLORADO 

Vdams State College 

Vrapahoe Community College 
Colorado State University 
^ed Rocks Community College . 
Jniversity of Colorado: 

Boulder 

Colorado Springs 

Jniversity of Northern Colorado 
Jniversity of Southern Colorado 

CONNECTICUT 



Central Connecticut State College... 
2astem Connecticut Slate College 
Jniversity of Connecticut: 

Avery Point 

Health Center 

Main Campus 

Western Connecticut State College.. 



FLORIDA 



^orida A & M University 

lorida Atlantic University 

^onda International University. 

^onda State University 

Jniversity of Central Florida 

Jniversity of Florida 

Jniversity of North Florida 

Jniversity of South Flonda 

Jniversity of West Florida 



GEORGIA 

3eorgia Institute of Technology . 

Oeorgia Southern College 

Georgia State University 

Medical College of Georgia 

University of Georgia 



ILLINOIS 



Chicago State University 

Eastern Illinois University 

Governors State University 

Illinois State University 

Morton College 

Northeastern Illinois State College.. 

Northern Illinois University 

RcK-k Valley College 

Southern Ilhnois University: 

Carbondale 

Edwards ville 

Thornton Community College 

Tnton College 

University of Illinois: 

Chicago 

Urbana 

Western Illinois University 



1,585 
3,095 
17.648 
2,772 

20,663 
3,565 
8,979 
4,518 



8,740 
2,643 

rt 

516 

18,631 
3,967 



4,314 
5,305 
7,833 

19,013 
9,847 

31,240 
2,815 

18,370 
3.987 



10.626 
6,322 

14,313 
1.923 

23.296 



5.091 
9.727 
2.185 

18.152 
1.876 
6.929 

20,558 
4.339 

21.545 
8.529 
4738 

10.535 

17,147 
33,226 
10,796 



10 



10 



11 

62 
611 

38 

1.071 
33 

377 
127 



148 

72 

27 
149 
707 

66 



149 
116 
113 
871 
158 
1,030 

82 
806 

82 



601 
319 
401 
131 

722 



48 
175 

44 
555 

58 
198 
508 

76 

1,026 
302 
106 
246 

994 

1.162 

336 



28 

1 

107 

3 

170 
5 



1 
5 

2 

4 

150 

12 



79 



2 
149 



90 
60 

495 
33 

874 
27 

285 
99 



146 
66 

25 
141 
548 

51 



135 
112 
103 
811 
134 
903 

75 
728 

71 



535 
243 
365 
126 
612 



40 
158 

41 
469 

53 
195 
358 

75 

945 

244 

87 

215 

959 

1.080 

328 



1 

9 
2 

27 
1 
4 



9 
16 
3 

36 



12 
7 
4 
2 

11 



27 
18 
30 

18 

18 

1 



115 



Table 6. — Number of Offenses Known to the Police, Universities and Colleges, 1983 — Continued 



University/College 



Sludcnl 
cnroll- 
mcnl' 



Violent- 
cnmc 
total 



Violent Cnme 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 

rape 



Robbery 



Aggra- 
vated 
assault 



Property' 
cnme 
total 



Property Crime 



Burglary 



Larceny - 
Iheft 



Motor 
vehicle 
theft 



INDIANA 

Itidiana University: 

Bloomington 

Gary 

Indianapolis 

New Albany 

IOWA 



Iowa Slate University , 

University of Iowa , 

University of Northern Iowa. 

KANSAS 



Empona State University 

Fort Hays 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... 



29.161 
3.031 

14.683 
2,975 



23,535 

24.717 

9.616 



4,630 
4.198 

17.729 
1,455 
4.068 
20,364 
10,880 



LOUISIANA 

Louisiana State University, 

Baton Rouge 

McNeese University 

Northeast Louisiana University.... 

Northwestern State University 

Southeastern Louisiana University 

MAINE 

University of Maine. Orono 

University of Southern Maine 

MARYLAND 

Bowie State College 

Coppin State College 

Frostburg State College 

Morgan Slate University 

Saint Mary's College 

Salisbury State College 

Towson Slate University 

University of Baltimore 

University of Maryland: 

Baltimore City 

Baltimore County 

College Park 

Eastern Shore 



27,104 
5,625 
8,775 
4.569 
7,835 



10.181 
5,669 



1,571 
1.865 
3.102 
4.052 
1,164 
3,468 
11,119 
3,258 

C) 

6,218 

30.429 

1,054 



11,134 


6 


5,037 


2 


6,397 


14 


6,100 




19,056 


24 


14,450 


5 


10,600 


8 



1.485 

66 

410 

20 



1,027 
882 
300 



120 
71 

561 
355 
112 
786 
313 



491 
92 

251 

70 

1,085 

732 

260 



1,131 

143 

298 

57 

236 



381 
127 



41 

79 
123 
309 

53 
154 
463 
111 

698 

216 

1,270 

27 



208 
2 
4 
5 



313 

177 

6 



29 
14 

104 
25 
39 

197 
11 



15 
105 

105 
69 

2 



214 

9 

30 

1 

3 



27 
88 
12 
35 
149 



23 

37 

460 

1 



1.267 

59 

395 

14 



708 
692 
289 



91 
56 

449 
328 
71 
568 
300 



487 
76 
145 
70 
969 
649 
250 



893 
133 
265 
55 
232 



353 
99 



38 
69 
94 
220 
40 
117 
311 
109 

672 

168 

791 

26 



10 
5 

11 
1 



6 
13 
5 



2 

2 

21 

2 



II 
14 



24 
1 
3 
1 
1 



3 
II 
19 



116 



fable 6. — Number of Offenses Known to the Police, UniTersities and Colleges, 1983 — Continued 



University /College 



Student 
enroU- 



Violent- 
crime 
total 



Violent Crime 



Murder 
and non- 
negUgent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Property' 
crime 
total 



Property Crime 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



MASSACHUSETTS 

kston College 

k)Ston University 

iforth Adams State CoUege 

>IortheasIem University 

Tufts University 

Jniversity of Massachtisetts: 

Amherst 

Harbor Campus-Boston 

Worcester 

NDCHIGAN 

Central Michigan University 

3elta College 

^tem Michigan University 

irand Valley State College 

.ansing Commimity College 

*1ichigan State University 

Northern Michigan University 

laginaw Valley State College 

Vestem Michigan University 

MINNESOTA 

Jniversity of Miiuesota 

MISSISSIPPI 

^(ississippi State University 

Jniversity of Mississippi 

MISSOURI 

Jniversity of Missotiri; 

Columbia 

Saint Louis 
Washington University 

NEBRASKA 

University of Nebraska, Lincoln 

NEVADA 

University of Nevada, Reno 

NEW HAMPSHIRE 

University of New Hampshire 

NEW JERSEY 

Brookdale College 
Burlington 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 
William Paterson College 



11,828 
22.085 

2.264 
27,461 

6.571 

23.295 

8,299 

(*) 



15.138 
6,105 

13,298 
4,349 

10,016 

37.770 
6.928 
2.900 

16.362 



48.697 



11,682 
8,817 



22,128 
8,327 
8,097 



21.972 



7.246 



10,776 



6,515 

3,568 

7.278 
8.515 
7,437 
2.625 
10.342 

3.634 
6,641 

26.484 
4.448 
7.078 
8.498 



10 



386 
605 
46 
541 
237 

858 
450 
221 



455 
165 
565 
118 
174 
2,126 
340 
88 
862 



1.279 



444 
304 



1.034 
144 
240 



852 



246 



371 



100 
25 
149 
164 
37 
146 
258 

176 
114 
655 
183 
218 
170 



30 
68 
7 
23 
73 

185 
92 

7 



42 

11 

56 

10 

5 

601 

24 

2 

42 



45 



149 



115 



69 



324 
493 
39 
505 
159 

631 
349 
196 



408 
153 

488 
107 
169 
1.503 
310 
86 
814 



1.230 



408 
203 



877 
137 
221 



729 



147 



300 



99 
21 
138 
127 
36 
96 
162 

153 
104 
597 
101 
185 
153 



32 
44 



13 
5 

42 
9 
18 



22 
6 



6 
14 



11 
3 

27 



117 



Table 6. — Number of Offenses Known to the Police, Universities and Colleges, 1983 — Continued 



Univenily/College 



NEW MEXICO 

Eastern New Mexico University 

New Mexico Slate University 

University of New Mexico 

Western New Mexico University . 



NEW YORK 

Cornell University 

Ithaca College 

Rensselaer Polytechnic Institute 

Slate University of New York; 

Albany 

Amherst 

Binghamton. 

Buffalo 

Downstate Medical Center 

Mantime College 

Stony Brook 

Upstate Medical Center 

State University of New York 
Agncultural & Technical College: 

AJfred 

Canton 

Cobleskill 

Delhi 

Farmingdale 

Momsville 

State University of New York College: 

Brockport 

Buffalo 

Cortland 

Environmental Science and 
Forestry 

Fredonia 

Genesee 

New Paltz 

Old Westbury 

Oneonta 

Optometry 

Oswego 

Plattsburgh 

Potsdam 

Purchase 

Utica-Rome 



NORTH CAROLINA 

Appalachian Slate University 

East Carolina University 

North Carolina State University, Raleigh.. 
University of North Carolina: 

Chapel Hill 

Charlotte 

Western Carolina University 



Student 
enroll- 
mem' 



4,126 
11,201 
17,540 

1,242 



10,597 
4,943 
6,194 

12,927 

(') 

9,898 

18,911 

1,348 

1,037 

12,718 

884 



4,049 
2,350 
2,817 
2,301 
8,620 
2,788 

6,213 
9,429 
5,571 

1,347 
4,652 
4,922 
5,670 
3,047 
5,763 
254 
7,132 
5,527 
4,386 
2,672 
2,090 



9,590 
12,649 
18,638 

20,286 
8,628 
5,599 



Violent-' 
cnmc 
total 



Violcnl Cnme 



3 

8 

102 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
valcd 
assault 



Propeny' 
crime 

total 



122 

387 

676 

86 



915 
350 
296 

418 
348 
312 
416 

194 

30 

640 

280 



179 
129 
67 
92 
181 
98 

297 
452 
229 

37 
160 
285 
239 

73 
123 

15 
211 
261 
143 
176 

35 



214 

510 
1,136 

921 
264 
193 



Propeny Cnme 



Burglar)' 



121 

u 

45 

80 

48 

25 

100 

6 

7 

135 

II 



Larceny- 
Ihefl 



22 
76 
159 

69 1 

66 
9I 



122 

364 

638 

68 



790 
338 
249 

338 
300 
287 
315 
188 
23 
499 
265 



150 
123 
61 

70 
132 
84 

271 
395 
223 

34 
14S 

275 

225 

57 

110 

15 

193 

259 

142 

169 

33 



191 
429 
953 

846 
196 
184 



Motor 
vehicle 
theft 



12 

11 

1 



1 

5 
24 

6 
2 



118 



Table 6. — Number of Offenses Known to the Police, Universities and Colleges, 1983 — Continued 



University/College 



OHIO 



Cleveland State University 

Kent State University 

Miami University 

Ohio State University 

University of Akron 

University of Toledo 

Wnght State University 

Youngstown State University. 



OKLAHOMA 

Central Stale University 

Northeastern Stale College 

Oklahoma State University 

Putnam City Campus 

University of Oklahoma 

University of Oklahoma Health 
Science Center 



OREGON 

Oregon State University 

PENNSYLVANIA 



Bloomsburg University 

California University 

Cheyney State University 

Clarion State University 

East Stroudsburg State University..., 

Edinboro Stale College 

Elizabethtown College 

Indiana University of Pennsylvania. 

Kutztown University 

Lehigh University 

Lincoln University 

Lock Haven State University 

Mansfield Slate University 

Millersville State University 

Pennsylvania State University: 

Altoona Campus 

Behrend College 

Capitol Campus 

McKeesport Campus 

University Park 

Shippensburg State University 

Slippery Rock University 

University of Pittsburgh. Bradford.. 
West Chester University.. 



RHODE ISLAND 

University of Rhode Island 

SOUTH CAROLINA 



Clemson University 

University of South CaroHna 



TENNESSEE 



Austin Peay State University 

East Tennessee State University 

Middle Tennessee Stale University.. 
University of Tennessee: 

Martin 

Memphis 



Student 
enroll- 
ment' 



Violenl' 
cnme 
total 



12,893 
16,553 
14,081 
47,038 
19,076 
16,067 
11,307 
12.839 



9,098 
5,331 

21,381 

C) 

18,971 

2,101 



15,900 



5.383 
3.752 
1.684 
4.668 
3,635 
4,947 
1,524 
11,569 
5,058 
5,368 
1.220 
2.560 
2.460 
5.362 

2.167 
1.700 
2.022 
1.299 
33,495 
5,058 
5,260 
840 
8,145 



11,087 



11,050 
19,567 



3,401 
8,026 
9,384 

4,902 



Violent Cnme 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Property' 
crime 
total 



369 
553 
452 
2,063 
654 
702 
287 
261 



140 



Property Crime 



Burglary 



Larceny- 
theft 



18 


299 


14 


532 


30 


419 


519 


1,528 


29 


612 


40 


653 


10 


277 


17 


232 




Motor 
vehicle 
theft 



47 
67 

496 
84 

642 

131 



342 



120 



87 
104 

87 
217 

32 
255 

51 
200 

17 

77 

53 
110 

17 
83 
53 
21 

948 
82 

138 
25 

162 



150 



431 
740 



114 
181 
253 

121 
217 



52 
7 
3 
16 
13 
9 



13 

6 

34 



18 

14 



3 
14 



119 



Table 6. — Number of Offenses Known to the Police, Universities and Colleges, 1983 — Continued 



University/CoUege 



Student 
enroll- 
ment' 



Violent' 
cnme 
total 



Violent Crime 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Property' 
crime 
total 



Property Crime 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



TEXAS 

Angelo State University 

Baylor University 

Eastfield College 

East Texas State University 

Lamar University 

McLennan Community College 

Midwestern State University 

North Texas State University 

Pan Amencan University 

Richland College 

Southern Methodist University 

Southwest Texas State University 

Stephen F. Austin State University 

Sul Ross State University 

Texas A & M University 

Texas A & M University, Galveston 

Texas Arts & Industries 

Texas Chnstian University 

Texas College Osteo. Med 

Texas State Tech Institute 

Texas Tech Health Science Center 

Texas Tech University 

Texas Woman's University 

University of Houston: 

Clear Lake 

Downtown Campus 

University of Texas: 

Arhngton 

Austin 

Dallas 

El Paso •. 

Galveston 

Houston 

Permian Basin 

San Antonio 

Health Science Center. San Antonio 
University of Texas Southwest 
Medical School 

UTAH 

Brigham Young University 

University of Utah 

Utah State University 

Utah Technical College, Prove 

Weber State College 

VIRGINIA 

College of William and Mary: 

Christopher Newport 

Williamsburg 

George Mason University 

James Madison University 

Longwood College 

Mary Washington College 

Radford University 

Thomas Nelson Community College 

University of Richmond 

University of Virginia 

Virginia Commonwealth University 

Virginia Polytechnic Institute and 

State University 



5.065 




10,062 


12 


4,915 




5,685 


5 


11,300 


8 


2,940 




3.402 


1 


15,254 




6,705 


7 


7,621 


2 


7.725 


5 


14.724 


13 


10.769 


10 


1,866 




33.483 


15 


557 


1 


4,162 


1 


6.028 


4 


363 




4,838 


4 


469 




20.557 


9 


6,185 


1 


20,688 


18 


4,091 


1 


4,674 


2 


17,724 




45,082 


18 


4,714 




11,816 


6 


(*) 


1 


C) 


2 


839 




10,352 


2 


2,174 





(') 



25,918 
19,937 
9,149 
4,446 
8,267 



2.810 


2 


5,899 


2 


10.270 


3 


8.491 


3 


2.470 




2.543 


1 


5.420 


6 


3.671 




3.556 


1 


16.055 


4 


14.606 


9 



21,147 



103 
247 

64 
185 
419 

47 

49 
409 
226 

97 
282 
360 
333 

49 
872 

II 
204 
132 

47 
317 

83 
515 

53 
756 

26 

85 

185 
952 

48 
222 

91 
507 

31 
129 

65 

118 



875 
623 
214 
66 
187 



33 

131 

234 

140 

113 

85 

67 

35 

200 

871 

869 

367 



24 



51 
40 

19 
44 
32 

2 
44 
34 
51 
10 
81 

4 
45 
34 
17 
85 

6 
128 

6 
112 

3 

3 

9 
59 

3 
45 

1 
13 

1 

9 
13 



102 
221 

58 
130 
373 

47 

26 
361 
189 

95 
232 
322 
278 

39 

772 

7 

158 

97 

30 
221 

75 
383 

46 
539 

22 

78 

173 

874 

45 
164 

89 
486 

30 
124 

56 

105 



816 
572 
203 
64 
174 



31 

128 

226 

139 

102 

84 

66 

35 

148 

825 

865 

337 



11 
2 
4 
1 
105 
1 
4 

3 
19 



13 
1 



12 

15 

1 



120 



Table 6. — Number of Offenses Known to the Police, Universities and Colleges, 1983 — Continued 



Univereily/College 



Student 
enroll- 
ment' 



Violent^ 
crime 
total 



Violent Crime 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Property' 
crime 
total 



Property Crime 



Burglary 



Larceny- 
tbeft 



Motor 
vehicle 
theft 



WASHINGTON 

Central Washington State University... 

University of Washington 

Washington State University 

WEST VIRGINIA 

Bluefield State College 

Concord College 

Glenville State College 

Marshall University 

West Liberty State College 

West Virginia Institute of Technology 
West Virginia University 

WISCONSIN 

University of Wisconsin: 

Madison 

Milwaukee 

Oshkosh 

Parkside 

Whitewater 

WYOMING 

University of Wyoming 



6,237 
29,919 
16,140 



1,759 
1,904 
1,331 
8,257 
2,214 
2,859 
18,864 



37,814 
18,912 
8,686 
4,010 
8,972 



9,243 



10 



293 

1,024 

573 



25 
4 

19 
213 

37 

13 
441 



1,242 
574 
211 
128 
124 



284 



53 
204 
118 



233 
809 
438 



9 

179 

34 

7 

435 



67 
20 


1,064 
548 


11 


198 


1 


126 


21 


102 



269 



'The student enrollment figures provided by the US. Department of Education are for 1982, the most recent year available. 

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

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

^Student enrollment figures are not available. 

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



121 



Table 7. — Number of Offenses Known to the Police, Suburban Counties, 1983 

•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 Cnme Index 
offenses, including arson. 



County by State 



Crime 
Index 
total 



Modified* 
Cnme 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 

vehicle 

theft 



ALABAMA 



Autauga ^.. 

Baldwin 

Blount 

Calhoun 

Colbert 

Ebnore 

Etowah 

Jenenon 

Lauderdale 

Madison 

Mobile 

Montgomery 

Russell 

Saint Clair 

Shelby 

Tuscaloosa 

Walker 



ARIZONA 



Mancopa 
Pima 



ARKANSAS 



Crawford 

Crittenden .. 

Faulkner 

Jeffenon 

MiUer 

Pulaski 

Saline 

Sebastian 

Washington 



CALIFORNIA 



Alameda 

Alameda Highway Patrol 

Alameda State Police 

Butte 

Butte Highway Patrol 

Bulte Sute Police 

Contra Costa 

Contra Costa Highway Patrol . 

Contra Costa State Police 

El Dorado 

El Dorado Highway Patrol 

Fresno 

Fresno Highway Patrol 

Fresno State Police 

Kern 

Kern Highway Patrol 

Kem State Police 

Los Angeles 

Los Angeles Highway Patrol... 

Los Angeles Slate Police 

Mann 

Mann Highway Patrol 

Monterey 

Monterey Highway Patrol 

Napa .'. 

Napa Highway Patrol 



208 
1,659 
253 
385 
224 
699 
268 
4.599 
638 
429 
2.623 
319 
294 
356 
556 
707 
240 



6.274 
6,835 



181 
296 
261 

894 
154 
2.654 
703 
214 
361 



3,612 

76 

155 

3,615 

181 

10 

6,949 

485 

49 

2,145 

88 

9,712 

100 

70 

16,010 

221 

35 

53.175 

415 

741 

2.211 

122 

3.001 

123 

949 

79 



211 

1.661 

255 



702 
268 

4,654 
644 
433 

2.628 
322 
297 

560 



6.320 
7.001 



181 
302 

267 
898 

2.670 
703 
215 
368 



3.653 

156 
3.697 

10 
7.013 

49 
2.151 

10,057 

70 
16.753 

35 
53.786 

746 
2.240 

3.034 

959 



27 



156 



50 



93 



103 



581 



143 



46 



1 
181 



13 
199 



414 



3,937 



21 
125 

64 

7 

40 

22 

580 

9 

36 

258 

67 

35 

35 

5 

49 



379 
367 



9 
41 

3 
81 

4 
217 

2 

14 
21 



314 

31 

10 

196 

2 

1 

276 



1 
66 

1 
703 
3 
4 
1.121 
1 

6.819 

35 

50 

223 

233 



81 
527 

95 
128 

88 
333 
107 
1,395 
286 
112 
813 

73 

91 
139 
219 
275 

78 



1,878 
2,180 



83 

90 
126 
329 

29 
974 
291 

78 
156 



1,122 



39 
1,582 

3 
2,476 



33 

1,014 



3.872 



37 



25 
4,845 



6 
16,503 



167 
753 



1,049 
301 



86 
924 
130 
163 
113 
294 
116 

2.090 
293 
239 

1.351 
158 
146 
157 
291 
312 
136 



3.363 

3.751 



73 
127 
120 
416 
108 
1.187 
346 
109 
147 



1,708 



101 

1.716 

23 

5 

3,946 

60 

12 

1.029 

12 

4.282 

25 

38 

8.616 

97 

29 

18.648 

96 

423 

1.166 

26 

1,605 

9 

583 



10 
52 
26 
24 
13 
14 
14 
396 
34 



30 


4 


118 


5 


9 


3 


12 


3 


16 




27 


4 


54 




23 




480 


46 


367 


166 


13 




22 


6 


U 


6 


46 


4 


7 




181 


16 


54 




10 


1 


32 


7 


293 


41 


45 




5 


1 


48 


82 


156 




10 


64 


425 




2 




5 


6 


75 




540 


345 


72 




3 




884 


743 


123 




6,531 


611 


284 




65 


5 


8 


29 


96 




4 


33 


114 




5 


10 


79 





122 



'able 7. — Number of Offenses Known to the Police, Suburban Counties, 1983 — Continued 



Counly by State 



CALIFORNIA— Continued 



)range 

h-ange Highway Patrol 

)r8nge State Police 

lacer 

lacer Highway Patrol 

tiverside 

Uverside Highway Patrol 

Uverside State Police 

■acramento 

acramento Highway Patrol 

lacramento State Police 

■an Bernardino - 

.an Bernardino Highway Patrol.. 

.an Bernardino State Police 

.an Diego 

.an Diego Highway Patrol 

;an Diego State Police 

ian .loaquin 

ian Joaquin Highway Patrol 

ian Joaquin State Police 

Ian Mateo 

.an Mateo Highway Patrol 

Ian Mateo State Police 

ianta Barbara 

lanta Barbara Highway Patrol 

ianta Clara 

ianta Clara Highway Patrol 

lanta Clara State Police 
ianta Cruz 

lanta Cruz Highway Patrol 

>hasta 

Jhasta Highway Patrol 

ihasta State Police 

>olano 

iolano Highway Patrol 

Jonoma 

Sonoma Highway Patrol 

Stanislaus 

Stanislaus Highway Patrol 

Stanislaus State Police 

Sutter 

Sutter Highway Patrol 

Tulare 

Tulare Highway Patrol 

Ventura 

Ventura Highway Patrol 

Yolo 

Yolo Highway Patrol 

Yolo State Police 

Yuba ■■■■■ 

Yuba Highway Patrol 



COLORADO 



Adams 

Arapahoe.. 
Boulder .... 
Douglass... 
El Paso... 
Jefferson .. 
Larimer ... 

Pueblo 

Weld 



Crime 
Index 
total 



Modified* 
Crime 
Index 
total 



9,974 

28 

45 

2,959 

177 

22,503 

73 

15 

34,048 

297 

957 

22,461 

154 

66 

18,655 

148 

112 

6,200 

418 

56 

5,88 

I 

19 

5.218 

235 

4,081 

213 

66 

3,638 

248 

2,557 

42 

23 

808 

51 

4.534 

354 

4,367 

160 

6 

1,239 

51 

5,160 

274 

2,278 

48 

3,526 

42 

6 

2,026 

93 



5,206 
3,437 
1,100 

614 
2,132 
4.900 
1,585 

740 
1,611 



Murder 
and non- 
negligent 

man- 
slaughter 



10,091 

45 
3,016 

22,729 

15 
34,225 

959 
22,631 

66 

18,877 

112 
6,269 

56 
5,904 

19 
5,352 

4,185 

66 

3,657 

2,566 

23 
834 

4,577 

4,457 

6 
1,240 

5,397 

2,303 

3,584 

6 
2,047 



5,254 
3,483 
1.136 

523 
2,159 
4,923 
1,692 

751 



23 



Forcible 
rape 



57 



24 
115 



220 



163 



168 



Robbery 



34 



14 



181 



26 

461 



1,057 



19 
519 



435 



117 

1 
196 



Aggra- 
vated 
assault 



24 



13 

79 
42 
113 



22 



474 
2 



226 

1,017 
1 

954 

4 

34 

1,909 

4 

1 

1,349 



4 

252 

9 

3 

346 

1 

1 

271 



Burglary 



283 



171 
106 



2 
133 



181 



342 
2 



513 



115 

6 

365 



356 



239 
94 
79 
42 
49 
67 
62 
54 

129 



3,206 



15 
1,083 



8,828 



5 
9,000 



156 
8,730 



16 
6,993 



Larceny- 
theft 



27 
2,333 



11 
1,383 



5 
1,419 



1.314 



18 
1,514 

884 



4 
283 

1,896 

1,653 



434 



1,988 
1,008 
1,138 



3 
720 



1,234 
1.032 
344 
206 
579 
1.358 
391 
217 
488 



5,230 

29 
1,590 

13 
10,621 

14 

10 
20,560 



705 

9,470 
II 
44 

8,156 
29 
79 

3.466 
72 
40 

3.506 



Motor 

vehicle 

theft 



13 
3,422 

70 
2.305 



38 
1.827 

1.439 

24 

16 

357 



2.299 

75 

2,240 



3 

682 

5 

2,517 

12 

936 

21 

1,699 

20 

3 

910 

10 



3,270 

2,141 

576 

324 

1,242 

3,176 

1.113 

425 

860 



815 

26 

1 

5 

164 

1,411 

58 



2,234 

293 

32 

1,617 

139 

4 

1,533 

119 



337 



408 
17 



Arson* 



18 
165 

55 
213 



19 

248 

85 

18 

1 

1 

51 

6 

278 

10 

158 

3 



117 



57 
226 



177 



2 
170 



222 



69 



16 



134 
104 



19 
9 



26 
43 
90 



15 


1 


46 






237 


262 




153 


25 


21 




175 


58 


22 






21 


83 




306 


48 


116 


45 


75 


36 


28 


9 


90 


27 


222 


23 


95 


7 


31 


11 


82 





123 



Table 7. — Number of Offenses Known to the Police, Suburban Counties, 1983 — Continued 



County by Slate 


Crime 
Index 
total 


Modified* 
Crime 
Index 
total 


Murder 
and non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 

vehicle 

theft 


Arson* 


DELAWARE 

New Castle Police Department 


7,385 
6,268 

3,865 

1,233 

244 

6,050 

14,353 
2,073 

73,264 

11,985 

421 

1,718 

21,256 
3,364 
1,449 
5,838 
3,658 
2,464 
910 
2,054 

19,565 
1,846 

15.912 
6,506 
9.989 

11,837 
2,075 
2,860 
1,960 
6,810 
4,812 
3,931 

330 
962 
121 
960 
68 

9,296 
825 
21.686 
47 
443 
186 
313 
687 

5,256 

6,223 
855 
567 
404 
109 
188 
373 
464 
214 

5,391 
974 
792 
299 
733 


7,444 
6,291 

3.886 

1.235 

248 

6,072 

14,402 
2,076 

73,545 

12,098 

422 

1,725 

21,486 
3,376 
1,453 
5,877 
3,674 
2,472 
918 
2,061 

19,596 
1.854 

15.984 
6.541 

10.052 

11.909 
2,088 
2,873 
1,987 
6,829 
4,834 
3,949 

969 

833 
21,824 

443 

5,276 
567 

388 
466 


5 
5 

5 
2 

8 

41 

4 

179 

9 

2 

5 

37 

18 

7 

7 

5 

4 

5 

25 

28 
9 

10 

14 
3 
2 
6 
7 
5 

10 

3 
1 


50 

33 

57 

26 

3 

54 

118 
22 

457 

140 
3 
6 

137 
59 
25 
62 
41 
26 
8 
23 

167 
14 

116 
58 
67 

144 
21 
33 
21 
47 
40 
44 

5 

5 
2 

7 


78 
131 

68 

5 

124 

619 

24 

4,800 

310 

3 

20 

388 

106 

16 

81 

51 

27 

13 

45 

551 

42 

199 

56 

116 

207 

24 

42 

20 

66 

87 

58 

3 

25 

1 

8 


352 
332 

409 

75 

13 

291 

1.003 

72 

6.359 

1,422 

83 

195 

1,783 

96 

50 

496 

436 

180 

91 

83 

1.594 

82 

1.065 

442 

781 

1.253 

183 

143 

161 

294 

308 

255 

15 

28 

2 

33 

2 

293 

33 

441 

27 
12 
12 
25 

132 

329 

46 

27 

17 

3 

13 
17 
14 
16 

227 
62 

120 

3 

21 


2.231 
804 

1.173 

343 

89 

1.764 

4,069 

435 

18,323 

3,052 

132 

597 

6,561 

1,186 

547 

1,537 

1,238 

701 

286 

550 

5,743 

1,107 

4,425 

1,975 

3.106 

3,040 

414 

949 

712 

1.918 

1.420 

1,603 

159 

304 

77 

398 

5 

2.678 

276 

5.936 

16 

169 

79 

141 

199 

1,547 

1,871 

266 

216 

175 

39 

85 

173 

177 

59 

1.846 

241 

204 

107 

334 


3,999 
4,586 

2.008 

667 

117 

3.482 

7.432 

1,440 

36,548 

6,370 

177 

819 

11,202 

1,638 

707 

3.277 

1.724 

1.431 

463 

1,208 

10,392 

496 

9,020 

3,650 

5,394 

6.600 

1.322 

1.557 

929 

4.187 

2.706 

1.762 

118 
535 

37 
429 

59 

5.292 

445 

12.776 

29 
219 

80 
142 
405 
2.967 
3.418 
446 
277 
169 

60 

77 
154 
234 
121 
2,722 
585 
389 
179 
320 


670 
377 

145 
109 

17 

327 

1.071 

76 

6.598 

682 

21 

76 

1,148 

261 

97 
378 
163 

95 

44 
145 
1,093 
105 
1.059 
316 
515 
579 
108 
134 
111 
291 
246 
199 

27 
64 

2 
85 

2 

881 

55 

1,739 

2 
19 
14 
13 
54 
403 
505 
67 
34 
29 

6 
12 
25 
33 
12 
334 
67 
54 

9 
36 


59 




23 


FLORIDA 


21 


Bay 

Bradford 
Brevard 


2 

4 

22 

49 


Clav 


3 


Dade 


281 




113 




1 




7 




230 


Lee 


12 




4 




39 




16 




8 




8 




7 




31 




8 


Palm Beach 


72 




35 


Pinellas 


63 


Polk 


72 




13 




13 




27 




19 




22 




18 


GEORGIA 




Bibb 




Butts 

Cherokee 

Cobb 






9 


3 
1^ 

2 






40 

6 

132 

4 
1 
1 
1 

15 

30 

11 

5 

7 


109 

8 

643 

3 






8 


De Kalb 


138 
















4 
3 
184 
67 
18 
8 
6 












8 
3 
1 


20 
















1 
1 

1 
2 
1 

7 
4 
3 

3 




Lee 






1 
2 
2 
1 
65 
8 
6 
1 
5 








I 
2 
4 
190 
7 
16 

14 


15 




2 


Peach 








Rockdale 




Spalding 




Walton 




Walker 





124 



Table 7. — Number of Offenses Known to the Police, Suburban Counties, 1983 — Continued 



County by State 



IDAHO 



Ada.. 



ILLINOIS 



Boone 

Champaign ... 

Clinton 

Cook 

Du Page 

Grundy 

Henry 

Jersey 

Kane 

Kankakee 

KendaU 

Lake 

McHenry 

McLean 

Madison 

Menard 

Monroe 

Peoria 

Rock Island.. 
Saint Clair ... 

Tazewell 

Will 

Winnebago... 



INDIANA 



Allen 

Allen State Police 

Boone 

Boone State Police 

De Kalb 

De Kalb State Police 

Elkhart 

Elkhart State Police 

Hamilton 

Hamilton State Police 

Hancock 

Hancock State Police 

Harrison 

Harrison State Police 

Howard 

Howard State Police 

Johnson 

Johnson State Police 

Lake 

Lake State Pohce 

Marion 

Marion State Police 

Monroe 

Monroe State Police 

Porter 

Porter State Police 

Saint Joseph 

Saint Joseph State Police . 
Shelby 



Crime 
Index 
total 



1.657 



325 
1,514 

158 
5,401 
3,666 

278 

336 

288 
1,387 

863 

530 
3,391 
1,690 

538 

2,708 

92 

195 
1,621 

572 
1,526 

627 
2,987 
2,101 



1,878 

124 

99 

55 

106 

43 

1,498 

74 

674 

96 

231 

52 

305 

106 

583 

8 

546 

81 

1,718 

435 

15,278 

667 

1,114 

98 

973 

106 

1,708 

212 

399 



Modified* 
Crime 
Index 
total 



1,680 



325 
1,519 

159 
5,441 
3.704 

282 

336 

1,408 
875 
543 

3,403 

1,693 
542 

2,721 

94 

203 

1,630 
580 

1,545 
631 

2,101 



Murder 
and non- 
negligent 

man- 
slaughter 



106 

1,508 

681 

317 
583 

1,736 

15,356 

1,124 

992 



Forcible 
rape 



402l 



2 

5 
8 
5 

24 
2 
2 

21 



Robbery 



6 

2 
3 

3 

29 
7 
318 
10 
5 
2 
4 
2 
22 
4 
2 



Aggra- 
vated 
assault 



127 



11 

64 

9 

200 

173 

5 

6 

2 

85 

69 

14 

159 

37 

60 

81 

2 

19 

66 

10 

67 

76 

208 

97 



Burglary 



5 

17 
6 
3 
1 
39 
6 

80 

76 

303 

59 

60 

5 

7 

12 

134 

24 

11 



Larceny- 
theft 



453 



110 

637 

72 

1,550 

1,262 
106 
99 
103 
588 
322 
239 

1,282 
599 
248 

1,( 
45 
82 
647 
184 
425 
196 
985 
818 



629 
24 
49 
21 
51 
18 

351 
14 

233 

24 

94 

3 

243 
45 

167 
1 

147 
9 

440 

33 

3,580 

46 

380 
29 

183 
24 

364 
50 
127 



Motor 

vehicle 

theft 



1,009 



181 

719 

71 

2,922 

1,847 

149 

219 

177 

632 

394 

257 

1,599 

963 

203 

1.325 

41 

82 

825 

347 

884 

330 

1,566 

1,063 



1,056 
76 
31 
20 
49 
11 

992 
32 

371 
51 

132 

31 

6 

44 

375 
3 

322 
41 

805 

116 
9,724 

329 

606 
46 

734 

46 

1,100 

100 

243 



53 



20 

65 

6 

614 

326 

18 

3 

6 

61 

51 

13 

272 

79 

22 

163 

1 

8 

60 

19 

104 

9 

165 

85 



124 

20 

9 

9 

5 

3 

59 

14 

37 

14 

5 

8 

28 

11 

30 



29 
19 

352 

200 

1,292 

218 

59 

15 

44 

19 

79 

32 

16 



125 



Table 7. — Number of Offenses Known to the Police, Suburban Counties, 1983 — Continued 



County by State 



Crime 
Index 
total 



Modified* 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 

vehicle 

theft 



INDIANA— Continued 



Shelby Slate Police 

Tippecanoe 

Tippecanoe Slate Police .... 

Tipton 

Tipton Slate Police 

Vanderburgh 

Vanderburgh State Police.. 

Vigo 

Vigo State Police 



IOWA 



Black Hawk 

Bremer 

Dallas 

Dubuque 

Johnson 

Linn 

Polk 

Pottawattamie . 
Scott 
Warren 
Woodbury 



KANSAS 



Butler 

Douglas , 

Johnson 

Leavenworth . 

Miami 

Sedgwick 

Shawnee 

Wyandotte 



KENTUCKY 



Boone Police Department 

Boone Stale Police 

Bourbon 

Bourbon Stale Police 

Boyd State Police 

Campbell Police Department 

Campbell State Police 

Christian 

Christian Police Department 

Chnslian Sute Police 

Clark 

Clark Slate Police 

Daviess 

Daviess Slate Police 

Fayette State Police 

Greenup 

Greenup State Police 

Henderson 

Henderson Stale Police 

Jefferson Police Department.. 

Jefferson State Police 

Oldham 

Oldham Police Department... 

Oldham Sute Police 

Shelby 

Shelby Stale Police 



75 
1,1.16 

i.n 

115 
13 

842 
52 

814 

242 



290 
220 
281 
514 
518 
555 
1,751 
336 
481 
396 
299 



502 
225 
586 
307 
236 
1,725 
787 
57 



1.497 

46 

73 

103 

236 

246 

5 

378 

273 

36 

196 

62 

111 

223 

21 

105 

129 

215 

110 

12.689 

53 

1 

195 

124 

130 

187 



1.145 



846 
814 



293 
223 
281 
524 
518 
555 
1,765 
340 
484 
404 
300 



1,508 

43 

73 

108 

240 

247 

6 

380 

274 

47 

201 

65 

111 

229 

21 

107 

137 

216 

112 

12,760 

54 

1 

195 

126 

130 

19ll 



505 


1 


225 




599 




313 


4 


236 




1,748 


2 


793 


2 


57 





2 

1 

I 

242 



24 
9 

22 
14 
83 
193 
36 
10 
4 
3 



139 

49 

3 



2 
15 

3 
II 
22 
10 
20 
420 

1 



30 

359 

34 

30 

4 

102 

1 

193 

53 



99 
61 
87 
ill 
129 
183 
417 
104 
159 
139 
143 



209 
87 
242 
142 
109 
510 
301 
25 



33 
694 

56 

79 

6 

659 

34 
560 
130 



157 
146 
180 
370 
349 
262 
1,008 
170 
274 
233 
140 



239 
112 
277 
127 
123 
956 
407 
26 



279 


997 


7 


22 


21 


45 


68 


19 


106 


72 


79 


157 


2 




105 


222 


34 


178 


10 


12 


41 


142 


25 


25 


45 


40 


105 


85 


1 


11 


53 


36 


61 


27 


82 


115 


34 


46 


.153 


7.963 


3 
1 


46 


102 


72 


34 


62 


3 


114 


63 


63 



45 
23 
5 
2 
52 
12 
47 
36 



14 
11 
18 
20 
111 
21 
30 
19 
12 



16 
10 
27 
15 

3 
81 
18 

3 



119 
10 
1 
1 
28 
5 
2 

25 
4 
3 
7 
8 

17 
II 
2 
5 

14 
5 
8 
803 
3 



126 



Table 7. — Number of Offenses Known to tbe Police, Suburban Counties, 1983 — Continued 



County by State 



LOUISIANA 



Ascension 

Bossier 

Caddo 

Calcasieu 

East Baton Rouge .. 

JefFei^on 

Lafayette 

LaFourche 

Ouachita 

Rapides 

Saint Charles 

Saint Tammany 

West Baton Rouge.. 



MAINE 



Androscoggin 

,: Androscoggin State Police.. 

Cumberland 

Cumberland State Police... 



MARYLAND 



Allegany 

Allegany State Police 

Anne Arundel Police Department 

Anne Arundel Stale Police 

Baltimore 

Baltimore State Police 

Calvert 

Calvert State Police 

Carroll 

Carroll State Police 

Cecil 

Cecil State Police 

Charles 

Charles State Police 

Frederick 

Frederick State Police 

Harford 

Harford State Police 

Howard 

Howard State Police 

Montgomery 

Montgomery Police Department 

Montgomery State Police 

Pnnce Georges 

Prince Georges Police Department 
Prince Georges State Police 

Queen Annes 

Queen Annes State Police 

Washington 

Washington State Police 



Crime 
Index 
total 



699 

678 

2,194 

4,412 

6,105 

23,888 

1,208 

1,019 

1,656 

1,291 

1,671 

3,268 

449 



342 

35 

757 

130 



Modified* 
Crime 
Index 
total 



704 



4,431 
6,124 
23,997 
1,218 
1,023 
1,694 
1,294 
1,675 
3.279 
449 



343 

36 

759 

131 



Murder 
and non- 
negligent 

man- 
slaughter 



86 


86 


559 


578 


12,656 


12,800 


1,347 


1,351 


37,628 


38,136 


146 


146 


168 


168 


663 


673 


4 


4 


1,654 


1,685 


404 


404 


1,184 


1,238 


2,168 


2,168 


603 


651 


295 


295 


1,281 


1,301 


1,971 


1,971 


719 


768 


5,324 


5,324 


420 


480 


22,211 


23,186 


28 


29 


9 


9 


34,327 


34,576 


136 


137 


80 


80 


611 


617 


634 


634 


699 


733 



Forcible 
rape 



56 



26 
39 
43 
151 
26 

9 
22 

6 

22 
29 

7 



Robbery 



1 
1 
49 
2 
148 
1 



124 



304 



10 

7 

26 

79 

101 

742 

33 

19 

13 

17 

44 

37 

11 



Aggra- 
vated 
assault 



283 

39 

1,260 

2 

1 

4 



625 



2,453 
2 



Burglary 



25 

59 

362 

428 

466 

1.394 

135 

122 

117 

80 

223 

278 

141 



56 

423 

184 

4,570 

46 

1 

117 

4 

152 

48 

156 

156 

74 

3 

138 

59 

96 

219 

50 

1 

683 

4 

9 

2,004 

33 



Larceny- 
theft 



173 


444 


140 


430 


701 


942 


1,377 


2,285 


1,783 


3,391 


5,866 


13,774 


475 


389 


328 


487 


474 


974 


393 


700 


429 


878 


922 


1,796 


94 


181 



184 
16 

310 
43 



21 

150 

3,501 

253 

8,700 

14 

55 

168 



441 

100 

337 

505 

88 

49 

342 

591 

151 

1,196 

66 



4,780 



!,603 
6 
6 

185 
172 
168 



Motor 

vehicle 

theft 



141 

17 

388 

68 



52 
316 

7.652 

755 

20,170 

70 

106 

340 



972 
242 
568 

1,327 
373 
240 
728 

1,202 
386 

3,500 
249 



14,644 
18 



17,132 

79 

74 

319 

402 

407 



32 


5 


33 




129 




200 


19 


309 


19 


,930 


109 


141 


10 


52 


4 


53 


38 


87 


3 


71 


4 


198 


11 


14 





4 
26 

740 

112 

2,746 

13 

5 

29 



59 

10 
93 

125 

50 

3 

55 
78 
71 

292 
40 



1,339 



3,775 
16 



19 

144 

4 

508 



10 
31 

54 
48 
20 
49 
60 



975 
1 



249 

1 



6 

34 



Table 7. — Number of Offenses Known to the Police, Suburban Counties, 1983 — Continued 



County by State 


Crime 
Index 
total 


Modified* 
Crime 
Index 
total 


Murder 
and non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 

vehicle 

theft 


Arson* 


MASSACHUSETTS 

Berkshire State Police 


226 
129 
49 
101 
70 
15 
80 
82 
75 

439 
516 

1,530 
438 
413 

1,414 
696 
325 

2.738 

784 

691 

64 

2,610 
883 

1,616 
678 

373 
208 
229 
1,046 
195 
264 
109 
184 
526 
268 
947 
355 
438 
843 
807 

448 

743 
261 
358 
266 
851 
727 
452 
225 
606 
407 
17') 
1,541 
14,208 


226 
129 
49 
102 
70 
15 
80 
82 
75 

374 
208 
231 
1,047 
197 
266 
111 
184 
535 
269 
958 
363 
440 
845 
816 

449 

261 
359 
267 
877 
728 
452 
225 
614 
408 
181 
1,556 
14,355 




1 
6 
2 
2 

2 
2 
5 


1 

4 
4 

1 

2 

5 
2 

2 
16 

27 
9 
18 
52 
4 
3 

22 
23 


14 
11 
23 
13 
5 
5 
15 
11 
35 

20 
26 
44 
15 
38 

115 
34 
22 

119 
22 
15 
3 
78 
73 
44 
35 

6 
9 

12 
7 
9 
3 
2 

10 
1 

28 
7 

11 
9 
8 

41 

58 
18 

5 
31 
17 
59 
64 

9 
59 
17 
17 
84 
450 


100 
5 


97 

48 

5 

25 

21 

2 

8 

10 
II 

221 
252 

1,088 
277 
247 
811 
416 
172 

1,740 

417 

476 

29 

1,636 
453 

1,017 
349 

195 
148 
166 
752 
128 
166 
67 
104 
320 
141 
402 
228 
278 
613 
504 

191 

390 
107 
161 
109 
470 
413 
227 
118 
305 
191 
94 
851 
8.195 


13 
55 
15 
13 
8 
8 

52 
50 
17 

21 
29 
54 
53 
13 
74 
33 
25 

205 

64 

17 

2 

214 
43 
69 
47 

27 

7 

8 

71 

7 

16 
7 
9 

24 
22 
57 
46 
27 
43 
29 

32 

31 

9 

29 

9 

44 

30 

14 

12 

28 

21 

3 

91 

1,326 
















Hamnden State Police 




47 
36 


1 








Middlesex Stale Police 




Norfolk State Police 


1 
4 
5 

173 
169 
303 

73 

96 
317 
201 

90 
637 
255 
177 

30 
656 
281 
460 
231 

150 
45 
45 
198 
53 
69 
30 
67 
167 
103 
454 
72 
115 
174 
259 

170 

260 
123 
156 
115 
305 
218 
139 

81 
211 
171 

62 

492 

3,955 




Plymouth Stale Police 












MICHIGAN 


2 






24 
14 
11 

1 
44 

8 
12 
15 

3 

4 










Eaton State Police 












Genesee State Police 


1 




Lapeer 




1 








Macomb State Police 








2 










Monroe 


6 


1 

15 
17 

9 

2 

1 
8 


19 
18 
7 
7 




Saint Clair 


2 








MINNESOTA 


1 


1 










2 


Chisago 


3 


2 


1 


Clav 


2 






4 

1 
1 
4 




2 






1 
1 
I 
1 
2 
2 
5 
3 
2 

9 

1 
1 
4 
1 
8 
1 

4 
4 
3 
2 
1 
6 
204 


2 








Olmsted 




9 






1 


Saint Louis 


2 

1 


2 

1 
1 
5 

1 

3 

1 
3 
1 

6 
4 
3 
1 


II 




8 




2 




2 






9 


MISSISSIPPI 

Hinds 


4 

2 

1 

2 
1 


1 


MISSOURI 








Cass 


1 


Clay 


1 




26 




1 






Lafayette 






8 




2 


3 

2 

13 

65 


1 




2 




4 
13 


15 


Saint Louis Police Department 


147 



128 



Table 7. — Number of Offenses Known to the Police, Suburban Counties, 1983 — Continued 



County by State 



MONTANA 



Cascade 

Yellowstone . 



NEBRASKA 



Dakota 

Douglas.... 
Lancaster.. 

Sarpy 



NEVADA 



Washoe . 



NEW JERSEY 



Atlantic State Police 

Bergen State Police 

Burlington State Police ... 

Camden State Police 

Cape May State Police ... 
Cumberland State Police. 

Essex State Police 

Gloucester State Police ... 

Hudson State Police 

Hunterdon State Police... 

Mercer State Police 

Middlesex State Police ... 
Monmouth State Police... 

Moms State Police 

Ocean State Police 

Passaic State Police 

Salem State Police 
Somerset State Police 

Sussex State Police 

Union State Police 

Warren State Police 



Crime 
Index 
total 



899 
1.283 



119 

1,364 

434 

554 



1,696 



951 
479 
884 

71 
471 
883 

51 

16 

21 
243 
383 

98 
458 
190 
206 

38 
552 

76 
487 

32 
209 



Modified* 
Crime 
Index 
total 



1,284 



119 

1.379 

443 

558 



1,706 



956 
480 
898 

71 
478 
909 

51 

16 

21 
249 
384 

98 
465 
191 
206 

38 
562 

76 
492 

32 
211 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



29 



131 
35 



113 



Burglary 



155 
308 



36 

387 
111 
148 



528 



165 
42 

262 
22 

185 

374 



100 

37 

4 

144 

14 

57 

3 

261 

10 

194 

1 

91 



Larceny- 
theft 



344 
848 



70 
879 
287 
352 



898 



676 

311 
462 

29 
225 
403 

25 
5 

13 
101 
321 

60 
250 
140 
125 

26 
205 

53 
232 

23 

73 



Motor 

vehicle 

theft 



255 
82 



9 
66 

21 
32 



36 
100 

82 

8 

29 

30 



24 

8 
13 
29 

6 
10 

4 
43 

1 
40 

3 
20 



15 
9 
4 



10 



5 

1 

14 

7 
24 



10 
5 
2 



129 



Table 7. — Number of Offenses Known to the Police, Suburban Counties, 1983 — Continued 



County by Slate 



NEW MEXICO 

Bcmalillo 

NEW YORK 

Albany 

Albany Stale Police 

Broome 

Broome Stale Police 

Chemung 

Chemung State Police 

Dutchess 

Dutchess State Police 

Erie i,„ 

Erie Stale Police 

Greene 

Greene Stale Police 

Herkimer Stale Police 

Livmgston 

Livingston Slate Police 

Madison 

Madison State Police 

Monroe 

Monroe Stale Police 

Montgomery 

Montgomery Stale Police 

Niagara 

Niagara Slate Police 

Oneida 

Oneida Stale Police 

Onondaga 

Onondaga Stale Police 

Ontario 

Ontario State Police 

Orange State Police 

Orleans 

Orleans Slate Police 

Oswego State Police 

Putnam 

Putnam Slate Police 

Rensselaer 

Rensselaer State Police 

Rockland Stale Police 

Saratoga 

Saratoga State Police 

Schenectady 

Schenectady Stale Police 

Tioga 

Tioga State Police 

Warren 

Warren State Police 

Washington 

Washington Stale Police 

Wayne 

Wayne Stale Police 

Westchester 

Westchester State Police 



Crime 

Index 
total 



3.703 



143 

791 

1.010 

863 

591 

460 

672 

1,303 

1,792 

743 

25 

604 

529 

559 

171 

152 

450 

5,882 

892 

200 

219 

1.814 

491 

690 

1.523 

2,893 

1,603 

1.259 

379 

1,743 

436 

135 

698 

900 

346 

593 

575 

126 

931 

973 

16 

109 

340 

202 

1,326 

266 

181 

415 

939 

794 

705 

1,082 



Modified* 
Crime 
Index 
total 



3,712 



1,822 



465 
5,920 



1,559 



645 



942 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



37 



Robbery 



Aggra- 
vated 
assault 



76 



348 



10 

35 

8 

16 
40 
42 
74 
138 
175 
48 



Burglary 



64 

20 

5 

25 

4 
15 
51 
32 
22 

9 
118 
20 
10 
39 
35 
41 
51 
23 
77 
47 
20 
35 
25 
35 
106 
21 
18 

9 
44 

2 

6 
41 

2 
17 

9 
10 
74 
18 
30 
78 
122 



1.325 



Larceny- 
theft 



1,693 



Motor 

vehicle 

theft 



217 



65 


58 


10 


283 


430 


30 


316 


633 


39 


314 


487 


42 


140 


384 


20 


125 


283 


7 


203 


346 


36 


391 


681 


71 


247 


1,283 


72 


297 


360 

25 

222 


25 


285 


19 


301 


194 


10 


169 


374 


6 


46 


93 


7 


60 


83 


5 


181 


239 


10 


960 


4,514 


289 


131 


669 


53 


62 


105 


10 


56 


141 


11 


431 


1,127 


111 


169 


282 


7 


309 


333 


30 


635 


810 


21 


752 


1,847 


180 


467 


1,000 


77 


369 


778 


54 


100 


250 


5 


730 


831 


68 


135 


226 


19 


60 


49 


2 


287 


336 


29 


231 


562 


70 


131 


161 


14 


190 


263 


28 


228 


292 


26 


15 


85 


2 


269 


617 


26 


361 


535 


25 


in 


1 
61 




40 




96 


186 


11 


83 


106 


4 


350 


926 


31 


113 


125 


14 


55 


106 


8 


141 


193 


3 


340 


521 


43 


320 


392 


33 


13 


580 


24 


367 


540 


31 



130 



I able 7. — Number of Offenses Known to the Police, Suburban Counties, 1983 — Continued 



County by State 


Crime 
Index 
total 


Modified* 
Crime 
Index 
total 


Murder 
and non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 

vehicle 

theft 


Arson* 


NORTH CAROLINA 


902 

365 

1,537 

1,143 

831 

1,359 

7,794 

1,403 

328 

1,687 

1,979 

297 

2,984 

2,501 

773 

3,243 

2,098 

2,048 

702 

937 

694 

415 

958 

2,788 

315 

100 
179 
120 
105 

2,183 

280 

1,153 

1,219 

503 

896 

2,860 

445 

530 

547 

6.352 

726 

1,035 

1,222 

1,253 

1.435 

636 

353 

1,008 

3,897 

733 

2,124 

1,573 

2,670 

1,101 

426 

1,568 

709 

454 


910 

368 

1,537 

1,152 

838 

1,376 

7.887 

1,416 

328 

1.699 

2.048 

300 

3.014 

2,524 

781 

3.266 

2,115 

2,062 

703 

959 

694 

422 

965 

2,823 

315 

100 
181 
120 
106 

2,200 

283 

1.162 

1.245 

506 

896 

2,874 

449 

538 

548 

6,398 

727 

1,047 

1.231 

1.262 

644 
353 
1,016 
3.947 
740 
2,143 
1,577 
2.686 

427 

716 
457 


4 
1 


10 
1 

7 
14 

4 

3 
65 

4 

13 
9 
2 
17 
16 
3 
23 
11 
13 
9 
2 
1 

33 


12 

12 

8 

4 

6 

172 

16 

2 

26 

23 

4 

37 

38 

2 

30 

23 

52 

6 

5 

7 

3 

3 

43 

4 


32 
15 

126 
82 
13 

409 

390 
47 
19 
75 

198 
9 
88 

167 
88 

199 
92 

259 
25 
32 
23 
20 
29 
96 
18 

6 
14 
2 
3 

79 

10 

9 

41 

56 

66 

11 

54 

55 

235 

23 

107 

36 

209 

120 

46 

42 

72 

66 

16 

108 

116 

17 

73 

49 

52 

5 

7 


333 
148 
501 
500 
315 
287 

2,857 
551 
122 
622 
663 
147 

1.098 
934 
254 

1.202 
736 
631 
310 
350 
225 
142 
347 

1,225 
89 

13 
38 
27 
20 

455 
89 
360 
390 
135 
330 
785 
145 
173 
151 

1,199 
207 
291 
484 
583 
441 
157 
110 
382 

1.250 
223 
875 
492 

1,157 
303 
101 
349 
274 
172 


482 

190 

798 

484 

474 

599 

3.757 

697 

172 

850 

966 

115 

1.660 

1.241 

401 

1,637 

1,124 

989 

327 

494 

408 

228 

541 

1.211 

196 

71 
110 
76 
76 

1,550 
160 
722 
640 
346 
456 

1,690 
258 
276 
307 

4,435 
415 
519 
647 
335 
772 
381 
180 
480 

2,261 
459 
992 
881 

1,282 
612 
258 

1,059 
386 
247 


29 
10 
93 
51 
18 
51 

538 
85 
12 
98 

118 
14 
72 

100 
24 

150 

HI 

100 
22 
49 
29 
19 
37 

170 
8 

6 
15 
11 

5 

65 
16 
42 

114 
15 
42 

152 
21 
25 
18 

343 
73 

105 
39 
91 
85 
22 
18 
56 

163 
23 

110 
57 

166 

100 
13 
90 
32 
25 


8 




3 






Burke 


4 
3 
4 

15 
3 
1 
3 
2 
6 

12 
5 
1 
2 
1 
4 
3 
5 
1 
3 
1 

10 


9 




7 




17 




93 




13 








12 




69 




3 




30 




23 




8 




23 




17 




14 




1 




22 








7 




7 


Wake 


35 


Yadkin 




NORTH DAKOTA 

Cass 




4 

2 
2 






2 




2 

1 

26 
2 
14 
10 
3 
3 
139 
4 

5 
110 

6 

6 

7 
27 

9 
23 

1 

4 
119 

4 
29 
17 
33 
12 

1 
16 

5 








1 


OHIO 

Allen 




8 

3 

4 

23 

3 

9 

27 

5 

2 

10 

24 

2 

4 

8 

8 

5 

7 

1 

14 

35 

8 

9 

10 

11 

1 

4 

2 

6 

3 


17 




2 
1 
1 

1 
1 

1 
6 


3 


Clark 


9 




26 




3 








14 




4 




8 




1 




46 


Lake 


1 




3 
1 

3 


12 




9 




9 








8 




1 






8 




3 

1 


50 




7 




19 




4 


Stark 


4 


16 








1 


Warren 






1 


7 


Wood 


3 



131 



Table 7. — Number of Offenses Known to the Police, Suburban Counties, 1983 — Continued 



Counly by Slate 


Crime 
Index 
total 


Modified* 
Crime 
Index 
total 


Murder 
and non- 
ncgligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 

vehicle 

theft 


Arson* 


OKLAHOMA 


223 
348 
317 

1,183 
124 
453 
290 
227 
393 
472 
342 
392 

2.426 
998 

7,746 

229 

941 

444 

1,282 

831 

3,510 

357 

13,173 

69 

529 

24 

4.806 

185 

534 

26 

521 
15 

940 
154 
256 
750 
365 
591 
221 
422 
707 
30 
2,085 
374 
554 
755 

26 
1,180 
1.311 


227 
350 
320 

1.196 
126 
459 
290 
227 
401 
474 
344 
393 

2,449 
999 

7,770 

286 

943 

454 

1,285 

850 

3,533 

369 

13,245 

71 

534 

24 

4.816 

189 

538 

27 

529 

15 

970 

154 
267 
758 
376 
607 
225 
427 
725 
36 
2.146 
376 
566 
766 

26 
1,190 
1,328 


1 


2 
7 
1 
9 
2 
6 
1 

4 
2 

5 

38 
8 

29 
6 
8 
5 

10 
11 
28 
7 
69 
6 
2 

20 
10 

5 
1 

7 


5 
3 

7 
5 
1 
4 
8 

10 
6 

1 

63 

6 

133 
4 
3 
2 
13 
13 
48 
3 
360 
2 

2 
71 


2 
11 
54 
91 


85 
128 
106 
510 

49 
154 
116 
107 
173 
202 
154 
208 
697 
382 

3,047 

86 

279 

172 

448 

418 

927 

72 

4,630 

4 

172 

8 

1,807 

67 

176 

8 

183 


101 
161 

130 
399 

62 
217 
143 

98 
154 
154 
119 
127 
1.041 
395 

3,789 

95 

583 

182 

731 

289 

2,030 

205 

6.705 

40 

306 

15 

2,600 

82 

279 

10 

287 


27 

38 

17 

166 

9 

36 

18 

20 

36 

30 

50 

44 

254 

124 

514 
28 
38 
42 
55 
65 

137 
24 

822 

11 

23 

1 

256 

21 

19 

1 

29 


4 




2 


Comanche 


2 
3 

1 


3 


Creek 


13 


Garfield 


2 




36 

3 

12 
77 
12 
10 
332 
80 

228 
9 

30 
41 
23 
33 

338 
45 

578 

6 

24 

51 

5 

55 

6 

6 

9 

65 

51 
18 
34 

9 
42 

8 

9 
83 

4 
129 

5 
18 
23 

6 
23 
28 


6 




2 
4 

6 

1 

2 
2 

2 
1 
9 

1 








Osage 


8 




2 




2 




I 


Tulsa 


23 


Wagoner 

OREGON 
Clackamas 


1 
24 


Clackamas State Police 


57 


Jackson 


2 




10 




3 


Lane Stale Police 


19 




23 




12 




72 




2 


Polk 


5 








10 


Wa<;hin0ton State Police 


4 


Yamhill 




7 
6 

54 
4 
6 

13 
4 

12 
1 
4 

12 


4 


Yamhill State Police 


1 


PENNSYLVANIA 


8 












91 
4 

2 

5 


352 

22 

99 

308 

154 

191 

94 

231 

305 

4 

879 

120 

193 

226 

5 
284 
475 


316 

64 

103 

341 

163 

313 

94 

160 

268 

14 

799 

243 

293 

446 

8 
693 
696 


62 

9 

23 

47 

35 

29 

21 

16 

26 

6 

227 

4 

36 

37 


30 










5 
2 


11 


Berks State Police 


8 
11 






4 
3 
2 
13 


16 


Cambria State Police 




4 






5 


Centre State Police 


2 
5 


18 




6 


Chester Slate Police 


20 

1 
5 
9 

5 
4 
14 


26 
1 
8 

14 

2 
18 
11 


61 




2 




1 
2 


12 




11 


Delaware Criminal Investigation 






156 

87 


10 


Erie State Police 


17 



132 



Table 7. — Number of Offenses Known to the Police, Suburban Counties, 1983 — Continued 



County by State 



PENNSYLVANIA— Continued 



Fayette State Police 

Lackawanna State Police 

Lancaster State Police 

Lebanon State Police 

Lehigh State Police 

Luzerne State Police 

Lycoming State Police 

Mercer Stale Police 

Monroe State Police 

Montgomery Detective 
Montgomery State Police. . 
Northampton State Police 

Perry State Police 

Philadelphia State Police- 
Somerset Slate Police 

Susquehanna State Police... 

Washmgton State Police 

Westmoreland Detective 

Westmoreland State Police 

Wyoming Slate Police 

York Stale Police 



Crime 
Index 
total 



RHODE ISLAND 



Providence State Police 
Washington State Police 



SOUTH CAROLINA 



Aiken 

Anderson 

Berkeley 

Charleston Police Department . 

Dorchester 

Florence 

Greenville 

Lexington 

Pickens 

Richland 

Spartanburg 

York— -- 



SOUTH DAKOTA 



Minnehaha 



TENNESSEE 



Anderson.. 

Carter 

Cheatham . 
Grainger... 
Hamilton.. 
Jefferson ... 
Knox 



1,853 
171 

1,015 
413 
791 
799 

1,198 
478 

1,027 

52 

581 

335 

437 

58 

529 

378 

933 

28 

2,095 
356 
806 



272 
372 



3,025 
3,625 
2,002 
7,091 
1,656 
2.401 
9,314 
3,642 
888 
7,026 
5,836 
2,501 



291 



523 
482 
349 
291 

1,595 
166 

4,405 1 



Modified* 
Crime 
Index 
total 



2,037 
185 

1,035 
424 
805 
847 

1,208 
488 

1,058 

52 

587 

337 

445 

58 

545 

382 

973 

28 

2,204 
358 
817 



273 
375 



3,070 
3.701 
2,057 
7,167 
1,667 
2,427 
9,437 
3,655 
903 
7,078 
5,912 
2,529 



Murder 
and non- 
negligent 

man- 
slaughter 



291 



548 



294 
1,667 

168 
4,419 



Forcible 
rape 



Robbery 



42 



42 
36 
32 

225 
21 
59 

184 
34 
9 

191 
82 
29 



Aggra- 
vated 
assault 



50 
12 
114 
33 
45 
32 
12 
17 
23 

8 

53 
II 
16 

3 
41 

6 
23 



Burglary 



486 
261 
203 
796 
119 
212 
868 
332 
72 
1.035 
466 
235 



22 



11 

45 

9 

7 

105 



173 



655 
79 
344 
160 

271 
310 
385 
183 
552 
10 
228 
120 
215 
4 
255 
223 
420 



Larceny- 
theft 



891 
171 
366 



57 
142 



1,143 
1,061 

670 
1,941 

635 

802 
2,782 
1,073 

322 
1,830 
1,557 

832 



87 



217 
224 
1 

126 

593 

84 

1,703 



Motor 

vehicle 

theft 



786 

67 
460 
193 
397 
402 
712 
222 
358 

16 
249 
174 
167 

42 
191 
120 
360 

24 
838 
141 
361 



89 
161 



1,146 
2,034 

952 
3,584 

786 
1,146 
4.831 
1.944 

421 
3.293 
3,370 
1,255 



152 



293 
9 

76 
23 
58 
33 
64 
46 
75 



Arson* 



166 
197 
124 
442 

85 
147 
563 
221 

50 
573 
307 
126 



26 



247 


39 


25 


171 


34 




121 


19 




128 


22 


3 


770 


94 


72 


64 


13 


2 


,939 


455 


14 



184 
14 
20 
11 
14 
48 
10 
10 
31 




45 
76 

5; 

76 
11 
26 
123 
13 
15 
52 
76 
28 



133 



Table 7. — Number of Offenses Known to the Police, Suburban Counties, 1983 — Continued 



County by State 


Crime 
Index 
total 


Modified* 

Crime 
Index 
total 


Murder 
and non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 

vehicle 

theft 


Arson* 


TENNF.SSEE— Continued 


648 
406 
757 
295 
3,001 
1,856 
455 
213 
200 
135 
572 
361 

821 

6.148 

648 

1.41J 

401 

1,410 

640 

324 

96 

913 

812 

1,980 

378 

1.308 

1.958 

691 

724 

900 

283 

507 

30,716 

748 

327 

2,895 

650 

788 

314 

814 

848 

607 

1,216 

3,517 

381 

884 

782 

263 

232 

154 

295 

1.340 

1,569 

259 

364 


416 
772 
295 
3.033 
1.856 
455 
215 
201 
139 
580 
363 

838 

6,177 

649 

1,421 

401 

1,424 

640 

325 

97 

959 

820 

1,993 

378 

1.315 

1,993 

694 

735 

920 

284 

516 

31,051 

748 

328 

2,904 

663 

792 

316 

818 

851 

615 

1,222 

3,574 

381 

889 

783 

264 

232 

154 

296 

1,396 

1,603 

270 

365 


1 

2 

1 

2 
1 
7 
2 


4 
4 
3 


14 

10 

15 

I 

45 

20 

5 

1 

2 

2 

4 

9 

9 
73 

2 
15 

3 

14 
3 

15 
4 

36 
3 

23 

27 
1 
7 

13 

5 

8 

978 

19 


32 
18 
53 

1 
82 
152 

2 
13 
18 

2 
14 
11 

112 

228 

57 

91 

7 

227 

71 

58 
47 
45 
16 
92 

107 
31 
45 
51 
14 
24 
1,012 
36 
22 
71 
57 
56 
9 

117 
51 
41 
81 

254 
21 
38 
51 
11 
16 
4 

20 
63 
75 
25 
33 


248 

179 

307 

126 

976 

582 

239 

76 

73 

51 

220 

124 

283 
2,0IO 
156 
512 
112 
620 
354 
144 
48 
300 
375 
571 
178 
474 
917 
220 
324 
286 
131 
161 
10.096 
274 
128 
1,649 
218 
328 
165 
345 
350 
265 
445 
1,340 
124 
410 
395 
84 
70 
73 
129 
486 
561 
116 
106 


322 

177 

340 

144 

1.541 

964 

175 

101 

87 

70 

291 

192 

354 

~~ 3,355 

390 
672 
251 
444 
186 
166 
43 
469 
345 

1,147 
157 
595 
745 
369 
305 
450 
123 
266 
13.872 
352 
163 
974 
308 
335 
90 
246 
394 
235 
584 

1,458 
187 
306 
262 
136 
116 
52 
128 
691 
766 
106 
194 


27 

16 

39 

22 

338 

118 

25 

19 

18 

9 

40 

25 

54 

412 
38 

105 
25 
79 
16 
13 
5 

57 
37 

156 
20 

101 

134 
58 
33 
87 
10 
40 
4,465 
51 
12 

150 
43 
52 
42 
81 
40 
40 
79 

352 
28 

104 
57 
17 
25 
20 
13 
66 

130 

8 

20 




Robertson 


10 




15 






Shelby 


17 

19 

2 

1 

2 
1 
2 

5 
63 

2 
9 
3 
21 
7 
1 

10 
2 

23 
2 

20 

15 
9 
3 
9 

8 
228 

20 
11 

11 

42 
15 

11 


32 












2 




1 






4 




1 

4 
7 
3 
9 

5 

3 


8 


WiHiamson 

TEXAS 

Bell 
Bexar 


2 

17 

29 

1 




8 








14 








1 




4 

2 
2 
2 
3 
13 
3 
7 
4 


1 


Dallas 


46 




8 


Ecior 


13 






El Paso 


7 




35 




3 




11 




20 


Guadalupe 


1 
9 




65 
9 

12 

1 
1 
1 
5 
2 
3 
2 

29 
4 
3 
4 
3 

1 

5 
11 

I 
1 


335 






Hays 


1 




19 
12 
10 
6 
9 
8 

16 
17 
42 
2 
17 
8 

10 
2 
2 
4 
23 
15 
2 
5 


9 




13 




4 




2 


Liberty 


4 


Lubbock 


3 




8 




6 




57 


Nueces 




5 




I 


Potter . . 


1 


Randall 




Rockwall 






1 


Smith 


56 




34 




11 


Tom Green 


1 



134 



ble 7. Number of Offenses Known to the Police, Suburban Counties, 1983 — Continued 



County by State 



TEXAS — Continued 



^vis 

toria 

lUer 

;bb 

chita 

lliamson 

se 



UTAH 



ivis 

It Lake.. 

ah 

sber 



VIRGINIA 

bemarle 

bemarle State Police 

. nherst - 

nherst State Police 

itetourt 

•tetourt State Police 

unpbell 

impbell State Police 

larles City 

larles City State Police 

lesterfield Police Department 

lesterfield State Police 

nwiddie 

nwiddie State Police 

liifax Police Department 

lirfax State Police 

uvanna 

uvanna State Police 

oochland 

oochland State Police 

reene - 

reene State Police 

anover 

anover State Police 

enrico Police Department 

enrico State Police 

imes City Police Department 

imes City State Police 

oudoun 

oudoun State Police 

lew Kent 

lew Kent State Police 

ittsylvania 

ittsylvania State Police 

owhatan 

owhatan State Police 

'rince George 

'rince George State Police 

rince William Police Department 
'rince William State Police 



Crime 
Index 
total 



3,359 
495 
276 
625 
310 
793 
382 



225 
13,215 
371 
61 



1,226 

17 

580 

7 

353 

I 

346 

35 

52 

10 

5,908 

65 

199 

17 

20,654 

78 

143 

1 

247 

11 

92 

6 

858 

57 

8,443 

52 

825 

14 

1,217 

30 

144 

26 

651 

20 

107 



Modified* 
Crime 
Index 
total 



3 
370 



4,597 
81 



Murder 
and non- 
negligent 

man- 
slaughter 



3,380 
501 
278 
627 
313 
796 
382 



225 

13,255 

373 

618 



1,244 

I 

590 

7 

355 

18 

346 

35 

54 

10 

5,971 

68 

199 

17 

20,937 

78 

144 

2 

248 

13 

93 

6 

872 

57 

8,511 

53 

827 

16 

1,220 

30 

148 

26 

655 

21 

107 

4 

373 

6 

4,656 

81 



Forcible 
rape 



Robbery 



153 



61 
6 
4 
2 
364 
3 



7 
1 
2 

16 

2 

160 

4 

15 



Aggra- 
vated 
assault 



369 

36 

9 

20 
16 
24 



16 

502 

1 

11 



Burglary 



1,147 
185 
138 
250 
96 
267 
156 



79 

2,709 

84 

202 



Larceny- 
theft 



15 


239 




2 


45 


170 




85 




3 


8 


103 


2 


10 


4 


17 


63 


1,502 


1 


II 


19 


68 


2 


3 


349 


3,588 


3 


4 


6 


57 


28 


77 


2 


2 


6 


36 


17 


191 




7 


163 


1,900 




4 
129 


83 


34 


360 


1 


6 


21 


65 




5 


58 


238 


1 


4 


5 


38 


13 


126 


185 


1,219 


6 


1 



Motor 

vehicle 

theft 



1,602 
215 
75 
308 
167 
462 
183 



II 

9,272 
247 
361 



916 
10 
340 
5 
238 
12 
216 
16 
28 
7 
3,997 
43 
102 
10 
15,079 
60 
77 
1 
123 
3 
45 
5 
580 
44 
5,844 
37 
556 
12 
750 
17 
46 
14 
306 
12 
57 
I 
192 
4 
2,848 
64 



11 

517 

19 

29 



46 


21 


41 


6 


34 


2 


39 


2 


16 


3 


35 


3 


41 





18 
2 

13 
7 
1 
I 
248 
3 
2 

1,193 

7 



38 

4 

330 

6 

32 

53 
6 
4 
2 

26 
3 
6 



28 



257 
10 



40 
2 



1 
10 



63 
3 



283 



68 
1 
2 
2 
3 



59 



135 



Table 7. — Number of Offenses Known to the Police, Suburban Counties, 1983 — Continued 



County by State 



Cnmc 
Index 
total 



Modified* 
Cnme 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny - 
theft 



Motor 

vehicle 

theft 



VIRGINIA— Continued 

Roanoke „ 

Roanoke State Police 

Scott 

Scott State Police 

Stafford 

Stafford Slate Police 

Washington 

Washington State Police 

York 

York State Police 

WASHINGTON 

Benlon 

Clark 

Franklin 

King 

Kitsap 

Pierce 

Snohomish 

Spokane 

Thurston 

Whatcom 

Yakima 

WEST VIRGINIA 

Cabell 

Cabell State Police 

Hancock 

Kanawha 

Kanawha State Police 

Mineral 

Mineral State Police 

Ohio 

Ohio State Police 

Putnam 

Putnam State Police 

Wayne 

Wayne State Police 

WISCONSIN 

Brown 

Calumet 

Chippewa 

Dane 

Douglas 

Eau Claire 

Kenosha 

La Crosse 

Marathon 

Outagamie 

Ozaukee 

Racine 

Rock 

Saint Croix 



1,803 

31 
230 

16 
855 

31 
359 

25 
870 



931 
269 

204 

716 

1,032 

26 
163 
122 

48 
379 

62 
186 
295 



1,283 
197 
159 

1,513 
324 
492 

1,610 
592 
711 

1.023 
259 

1,158 
614 
289 



1.805 

31 
242 

16 
856 

31 
361 

26 

877 

6 



785 


793 


6.504 


6.537 


369 


376 


24,021 


24.339 


2,596 


2.608 


13,203 


13.307 


6,187 


6,279 


5,959 


5,970 


2,653 


2,683 


1.619 


1.628 


3.519 


3,532 



62 
186 

302 



1.292 
197 
159 

1.530 
324 
495 

1.623 
592 
713 

1,026 
262 

1,163 
618 
292 



272 


1 


207 




719 


2 


1.039 


3 


26 




164 


1 


48 




381 





17 

28 

3 

265 
20 

161 
45 
36 
27 
20 
29 



3 

57 
2 

306 
19 

204 
39 
55 
14 
II 
42 



26 
142 

17 
458 

90 
681 
178 
102 

54 

50 
178 



93 

2 
15 
40 
18 
43 
37 

9 
135 
20 



327 

8 
91 

4 
167 

2 
105 

6 
163 



256 
94 
80 

181 

359 

7 

51 

64 

18 

109 
31 
39 

107 



242 

49 

42 

455 

110 

172 

413 

127 

144 

235 

93 

214 

166 

96 



1.393 

16 

97 

8 

606 

16 

215 

12 

590 

3 



274 


429 


2.230 


3.803 


119 


209 


7.450 


14.379 


1.013 


1.353 


4.772 


6.714 


2,660 


2,907 


2,101 


3,420 


973 


1.487 


616 


839 


1.208 


1.853 



508 

103 

85 

354 

504 

8 

95 

43 

24 

230 

14 

125 

101 



944 
130 
117 
861 
190 
287 
992 
409 
491 
683 
146 
733 
396 
172 



45 

2 
23 

2 
55 

5 
20 

5 
44 

1 



34 
239 

19 
1.134 

99 
660 
356 
240 

96 

83 
205 



57 

43 

35 

103 

110 

8 

7 

9 

2 

25 

12 

21 

63 



65 

13 

83 
19 
13 
133 
35 
30 
61 
10 
61 
25 
19 



136 



ibie 7. — Number of Offenses Known to the Police, Suburban Counties, 1983 — Continued 



County by State 



Crime 
Index 
total 



Modified* 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 

vehicle 

theft 



WISCONSIN— Continued 

eboygan 

ashington 

aukesha 

innebago 

WYOMING 

ilrona 



598 

942 

1.619 

617 



465 



599 

951 

1,627 

619 



471 



30 



166 
311 
497 
151 



142 



387 

551 

1,026 

430 



247 



29 
37 
49 
24 



137 



Table 8. — Number of Offenses Known to the Police, Rural Counties 25,000 and over in Population, 1983 

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



County by State 



Clime 
Index 
total 



Modincd- 
Crime 
Index 
tolill 



Murder 
and non- 
ncgligcnl 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny - 
theft 



Motor 
vehicle 
Iheft 



ALABAMA 



Cullman .... 

Dale 

Dallas 
De Kalb 

Jackson 

Lawrence... 

Lee 

Limestone 

Marshall 

Morgan 

Talladega . 



ARIZONA 



Apache... 
Cochise... 
Coconino. 

Mohave ... 

Navajo 

Pinal 

Yavapai ... 



ARKANSAS 



Benton 

Craigh^ad 

Garland 

Independence . 
White 



CALIFORNIA 



Humboldt 

Humboldt Highway Patrol 
Impenal 

Impenal Highway Patrol 

Kings 

Kings Highway Patrol 

Madera 

Madera Highway Patrol 

Mendocino 

Mendocino Highway Patrol 

Merced 

Merced Highway Patrol 

Merced State Police 

Nevada 

Nevada Highway Patrol 

San Luis Obispo 

San Luis Obispo Highway Patrol . 

Tehama 

Tehama Highway Patrol 

Tuolumne 

Tuolumne Highway Patrol 



COLORADO 



Mesa. 



DELAWARE 



Kent State Police 
Sus.sex State Police . 



362 
50 
359 
267 
263 
180 
381 
387 
514 
528 
490 



193 
883 
658 

1,539 
610 

1,604 
986 



583 
397 
291 
597 
381 



1.812 

27 

1.772 

38 

1,736 

73 

2.032 

73 

1.308 

76 

1.668 

107 

3 

1,342 

86 

1,686 

126 

822 

6 

1,033 

33 



2,054 



1,683 
2,614 



362 
359 



183 
383 
390 

541 



195 
889 
658 

1,553 
614 

1,623 
994 



589 
397 
298 
597 
390 



1,905 

1.798 

1.750 

-2.055 

1,319 

1.683 

3 
1.362 

1.698 

840 

1,034 



2.068 



1.690 
2.618 



13 
68 
67 

169 
44 

218 
43 



144 

3 

357 



251 

94 
1 

90 
5 



77 



118 

2 

42 

I 

169 



40 



153 
224 



155 
17 
178 
133 
103 
72 
128 
104 
128 
177 
161 



59 
364 
165 
426 
254 
466 
388 



248 
167 
133 
130 
158 



653 
561 
518 
881 
550 
608 



1 
432 



637 
272 
363 



638 



419 
884 



152 
24 
156 
104 
135 
82 
139 
231 
337 
276 
250 



113 
375 
369 
774 
281 
795 
476 



268 
199 
117 

428 
176 



943 
923 



791 
10 

835 

5 

618 

906 

I 
813 

12 
888 

26 
438 



487 



1,236 



978 
1.389 



7 
62 
31 

136 
15 

-73 
60 



91 
27 
102 
27 
24 
63 
4 
68 
10 
75 

102 

1 

4 

74 

11 

98 

46 

5 

2 

33 



113 



138 



fable 8. — Number of Offenses Known to the Police, Rural Counties 25,000 and over in Population, 1983 — Continued 



County by State 


Cnme 
Index 
total 


Modified* 
Cnme 
Index 
total 


Murder 
and non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny - 
theft 


Motor 
vehicle 
theft 


Arson* 


FLORIDA 

IJharlotte 


926 
1,762 
4,099 
1,392 
1.113 
1.870 

323 
2.255 
3.247 
1,577 

962 
1.923 

541 
1.855 

338 
1.108 

2,559 
2,303 
6,032 

678 
836 
966 

378 
236 
604 
189 
857 
544 

248 
116 
192 

92 
886 
102 
466 

57 

223 

5 
678 

69 
299 

54 
337 


927 
1,767 
4,136 
1,394 
1,117 
1,889 

327 
2,270 
3,258 
1,581 

968 
544 

2.594 
2.310 
6,051 

679 
844 
978 

380 
239 
608 
191 
862 
545 

252 
198 

470 

226 

5 
712 

71 
317 

54 
354 


13 


3 

8 

36 
13 

4 
20 

3 

19 
23 
20 

6 

13 
3 

15 
8 
9 

15 

3 
22 

6 
6 

7 

5 


4 

18 

106 

29 

6 
47 

9 
16 
33 
40 

12 

32 

3 

19 
11 
30 

17 
10 

47 

3 
5 
9 

7 


30 

83 
211 
141 

98 
109 

43 
302 
410 
117 

43 
104 

16 
133 

27 

42 

47 
78 
131 

33 
29 
65 

32 
2 

28 
4 

44 

64 

1 

11 
10 
65 
21 

2 
8 

17 

2 
91 
11 
20 

55 


490 
741 
1.176 
370 
341 
684 
117 
808 
816 
616 

289 
526 
195 
609 
138 
362 

698 

573 

1,837 

182 
390 
372 

114 
127 
234 
77 
320 
183 

66 
38 
68 
25 

205 
16 

142 
4 

80 


353 
834 

2,339 
762 
624 
921 
141 
984 

1,797 
717 

533 
1,138 
272 
930 
121 
554 

1,691 
1,569 
3,782 

429 
339 
469 

210 
100 
302 
104 
463 
258 

165 

47 
103 

45 
565 

33 
299 

30 

112 


46 
75 
218 
74 
40 
82 
9 
121 
160 
60 

75 
105 

51 
147 

31 
109 

86 

67 

209 

24 
67 
42 

10 
7 

40 
3 

26 

30 

11 
18 
8 
9 
40 
28 
19 
14 

8 

3 
82 

1 
30 

8 
50 


1 


3tnis 


5 


::oiaer 


37 


i^olumbia 


2 
4 




8 

7 

4 
5 
1 
2 
2 
2 

5 
3 
4 

1 

2 


19 




4 


^ke 


15 




11 




4 


GEORGIA 


6 








3 


lajl 








Vhitfield 




HAWAII 


35 




7 




19 


IDAHO 


1 




8 




12 


ILLINOIS 


2 






3 


^ Salle 








4 


)irle 






1 
2 
4 

1 
2 
2 
2 
8 
3 
2 
1 

2 


2 






2 

5 

2 

1 


5 




2 

3 


1 


I^JDIANA 


4 








6 




2 
1 


1 




_ji Porte 




^a Porte State Police 




^ayne 


2 


4 








KANSAS 


1 


3 


3 


KENTUCKY 






8 


4 

2 
7 


11 

8 
9 


271 
10 

125 
45 

141 


211 
47 
114 

73 


34 




2 


Hardin State Police 


18 




2 




IKnox State Police 


17 



139 



Table 8. — Number of Offenses Known to the Police, Rural Counties 25,000 and over in Population, 1983 — Continued 



County by State 



Cnmc 
Index 
toul 



Modified* 
Crime 
Index 
total 



Murder 
and non- 
negligcnt 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny - 
theft 



Motor 
vehicle 
theft 



KENTUCKY— Continued 



Laurel 

Laurel Stale Police 

McCracken 

McCracken Stale Police . 

Perry State Police 

Pike Stale Police 

Pulaski 

Pulaski Stele Police 

Warren 

Warren Stele Police 



LOUISIANA 



Acadia 

Iberia 

Iberville 

Plaquemines... 
Saint Landry . 
Sainl Mary ... 
Tangipahoa.... 

Vermilion 

Vernon 



MAINE 



Aroostook 

Aroostook Stele Police.... 

Kennebec 

Kennebec Stele Police 

Onford 

Oxford Stele Police 

Penobscot 

Penobscot Slate Police .... 

Washinglon 

Washington Stele Police . 



MARYLAND 



Saint Mary's 

Sainl Mary's Stete Police. 

Wicomico 

Wicomico Stete Police 



MICHIGAN 



Allegan 

Allegan Stete Police 

Barry 

Barry Slate Police 

Grand Traverse 

Grand Traverse Stele Police.. 

Isabella 

Isabella Stele Police 

Lenawee 

Lenawee Stele Police 

Montcalm 

Montcalm Stete Police 

Shiawassee 

Shiawassee Stete Police 

Tuscola 

Tuscola Slate Police 



240 
534 
441 
52 
523 
860 
192 
116 
326 
343 



677 
805 
414 
803 
859 
1,330 
1,275 
492 
744 



188 
503 
381 
444 
399 
130 
497 
337 
223 
216 



1.148 

394 

83 

1,010 



1,269 
681 
357 
327 
759 
431 
375 
283 
877 
258 

1.031 
286 
398 
254 
565 
254 



240 
568 
442 
72 
546 
916 

131 
326 
352 



679 
805 
414 
806 
866 
1.331 
1.278 
495 
748 



194 
511 
383 
445 
402 
131 
506 
341 
234 
220 



1,148 

415 

83 

1,020 



16 



79 
2 
8 

96 
110 

38 
1 
9 

95 



72 
59 
74 
100 
63 
179 
179 
22 
90 



106 
52 
26 

143 



114 

189 

136 

21 

135 

288 

73 

60 

88 

105 



211 
220 
108 
217 
219 
519 
333 
207 
190 



90 

233 
194 
219 
190 

68 
224 
138 
105 

94 



285 
100 



290 



355 
205 
111 
122 
157 
135 
111 

89 
261 
102 
359 
109 
188 

77 
163 

78 



116 

151 

279 

13 

164 

332 

55 

47 

209 

109 



348 
440 
202 
424 
314 
529 
643 
217 
373 



94 

205 
148 
160 
184 
43 
226 
143 
78 
72 



724 

217 

55 

512 



725 
356 
220 
156 
545 
261 
238 
157 
526 
102 
591 
136 
177 
146 
334 
146 



9 
96 
20 

4 

99 

112 

13 

4 
17 
20 



29 
66 
10 
41 
47 
50 
49 
31 
56 



I 

37 
9 
31 
12 
12 
19 
36 
15 
17 



15 
15 



64 

32 

9 

14 

24 

13 

9 

8 

34 
18 
33 
15 
20 
12 
28 
10 



140 



able 8. — Number of Offenses Known to the Police, Rural Counties 25,000 and over in Population, 1983 — Continued 



County by State 



Clime 
Index 
total 



Modified* 
Clime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



MINNESOTA 



row Wing . 

Eisca 

tter Tail .... 



MISSISSIPPI 



ilivar 

luderdale.. 



Dwndes . 
arren ... 



MISSOURI 



>hnson 

jlaski 

lint Francois., 
oddard 



MONTANA 



Issoula 

iver Bow.. 



NEW MEXICO 



ji Juan . 



NEW YORK 



llegany State Police 

ittaraugus 

ittaraugus State Police 

jyuga 

lyuga State Police 

tiautauqua 

bautauqua State Police 

henango 

henango State Police 

Union 

linton State Police 

olumbia 

olumbia State Police 

elaware 

elaware State Police 

ranklin State Police 

ulton 

ulton State Police 

enesee 

'cnesee State Police 

ifTerson 

ifferson State Police 

'tsego 

itiego State Police 

aim Lawrence 

ami Lawrence State Police. 

iteuben 

ijteuben State Police 

lullivan 

ulhvan State Police 

ompkins 

ompkins State Police 

lister State Police 

, Vyoming 

Vyoming State Police 



818 
686 
713 



238 
348 
391 
530 
518 



247 

85 

467 

234 



1,182 
1.624 



666 



648 
263 
547 
352 
629 
963 
307 
520 
330 

19 
1,139 
404 
626 
167 
597 
596 
584 
174 
436 
171 
526 
453 

65 
488 
540 
681 
433 
712 
536 
986 
868 
391 
1,332 
271 
153 



822 
687 
728 



241 
351 
392 
630 
518 



247 

87 

468 

235 



1,195 
1,631 



670 



529 



459 



548 



1.019 
1,355 



60 



18 
17 
30 
3 
115 
11 
13 
37 
11 



203 
67 
25 
15 
24 
19 
33 
15 



366 
278 
275 



71 
148 
162 
321 
209 



120 
34 
185 
126 



292 
373 



144 



317 
120 
268 
103 
158 
355 
119 
198 
151 
3 
295 
108 
295 

75 
352 
259 
196 

55 
142 

54 
221 
186 

32 
234 
189 
285 
157 
248 
177 
549 
347 
131 
739 
103 

40 



391 
330 
399 



71 
163 
150 
237 
247 



17 
195 
90 



772 
1,046 



303 
108 
232 
234 
326 
560 
162 
265 
158 

16 
616 
217 
281 

70 
203 
305 
331 

98 
281 

89 
298 
240 

24 
228 
338 
350 
221 
433 
274 
327 
483 
240 
441 
147 

24 



48 
35 
31 



16 
19 
34 
30 
36 



3 

10 
36 

5 



68 
99 



29 



7 
17 
10 
11 
26 
23 

8 
14 
10 



17 
10 
21 



17 
4 
8 
6 
3 
4 



9 
16 

22 
8 

33 
48 
20 
4 
48 
12 



141 



Table 8. — Number of Offenses Known to the Police, Rural Counties 25,000 and over in Population, 1983 — Continued 



Counly by Stale 



Crime 
Index 
total 



Modified* 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery' 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



NORTH CAROLINA 

Beaufort 

Brunswick 

Caldwell 

Carteret 

Chatham 

Cleveland 

Columbus 

Craven 

Duplin 

Edgecombe , 

Halifax 

Hamelt 

Haywood 

Henderson 

Iredell 

Jackson 

Johnston 

Lenoir 

McDowell 

Moore 

Nash 

Pitt 

Richmond 

Robeson 

Rockingham 

Rutherford 

Sampson 

Stanly 

Surry 

Wayne 

Wilkes 

NORTH DAKOTA 

Ward 

OHIO 

Ashtabula 

Athens 

Brown 

Columbiana 

Coshocton 

Darke 

Erie 

Holmes 

Huron 

Knox 

Logan 

Marion 

Muskingum 

Ottawa 

Putnam 

Ross 

Sandusky 

Scioto 

Seneca 

Shelby 

Tuscarawas 

Wayne 



442 
243 

1,004 
477 
452 

1.198 
690 

1.116 
350 
612 
298 

1,328 
718 
945 

1,000 
189 
926 
378 
381 
624 
890 

1.011 
532 

1.214 

1.142 
556 
572 
261 
683 
986 
824 



284 



1,664 
473 
360 
317 
621 
509 
380 
329 
346 
582 
510 

1,024 

1,108 

821 

84 

759 

580 

1,522 
280 
301 
259 
772 



446 

244 

1.014 
478 
454 

1.199 
692 

1,117 
358 
617 
299 

1,338 
718 
960 

1,005 
191 
933 
378 
389 
628 
907 

1.012 
534 

1.215 

1.144 
557 
577 
261 
685 
990 
836 



284 



1.688 
475 
377 
320 
622 
519 
387 
332 
347 
582 
511 
1,036 
1,111 
821 
84 
762 
585 

285 
304 
260 
779 



11 
4 
95 
3 
35 
71 
35 
94 
25 
38 
26 
139 
39 
21 
78 
1 
40 
12 
31 
17 
21 
47 
60 
83 
87 
II 
28 
20 
59 
35 
71 



198 
95 
456 
230 
186 
449 
309 
337 
116 
241 
131 
544 
306 
361 
397 
120 
382 
101 
112 
271 
301 
356 
242 
447 
377 
211 
234 
116 
208 
368 
328 



594 
189 

74 
208 
203 
160 
142 

87 
108 
164 
159 
256 
312 
215 

23 
206 
184 
375 
251 

83 

90 
235 



205 
92 
393 
204 
207 
621 
304 
621 
189 
300 
123 
528 
335 
461 
451 
68 
408 
235 
200 
300 
500 
541 
197 
570 
620 
312 
267 
114 
374 
543 
379 



208 



950 
224 
255 

76 
362 
278 
204 
203 
207 
393 
301 
674 
684 
504 

58 
437 
350 
986 
6 
166 
152 
475 



16 
47 
46 
35 
13 
37 
34 
45 
II 
17 
9 
83 
31 
95 
35 

67 
25 
32 
23 
52 
42 
21 
71 
47 
15 
33 
8 
36 
26 
36 



22 



100 

22 

9 

23 

22 
22 
22 
17 
15 

9 
16 
46 
55 
23 

1 
17 
19 
84 

5 

7 
10 
43 



142 



able 8. — Number of Offenses Known to the Police, Rural Counties 25,000 and over in Population, 


1983 — Continued 






County by State 


Cnme 
Index 
total 


Modified' 

Cnme 
Index 
total 


Murder 
and non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny - 
theft 


Motor 

vehicle 

theft 


Arson* 


OREGON 


647 

88 

926 

97 

1,753 

129 

1,585 

70 

624 

413 

1,197 

96 

554 
502 
628 
1,086 
539 
524 
358 
980 
763 
525 
389 
977 
333 
667 
364 
776 
223 
308 
810 
473 

3,277 
697 
504 
597 

1,318 
459 

1,185 

2,681 
828 

1,250 
308 
811 

2,070 

1,913 
403 

718 
412 
395 
797 


650 

91 
929 
100 

1,760 
132 

1,589 

75 

626 

432 

1,219 
102 

559 
505 
646 

1,119 
558 
526 
375 
992 
793 
543 
392 

1,022 
340 
690 
366 
785 
227 
316 
821 
481 

3,301 
713 
518 
604 

1,340 
462 

1,196 

2,710 
838 

1,267 
308 
817 

2,095 

1,929 
407 

728 
427 
397 
807 


1 

1 
1 

1 

1 
1 


8 
7 
4 
3 

11 
6 
3 
1 

10 
4 
3 
2 

5 
1 
5 
6 

2 

7 

6 
4 

2 
1 
9 
1 
9 
3 
3 
1 
2 
5 


5 

1 

1 

1 
10 

2 
10 

5 
6 
3 

1 

2 
3 
1 

10 
4 
4 
6 
8 
8 
4 
3 
8 
4 
9 
3 

16 
2 
2 

10 
6 

38 
9 
12 
12 
22 
3 

19 

23 

8 

11 

1 

2 

45 

34 

8 

7 
3 
2 
3 


38 

9 

4 

5 
88 

5 
117 

3 

28 
41 
19 

6 

2 

16 

13 

64 

7 

26 

10 

20 

22 

10 

10 

43 

5 

22 

6 

37 

3 

9 

9 

4 

375 
65 
73 
44 

127 
51 

187 

266 
74 

138 
20 
72 

311 

279 
52 

59 

29 

6 

57 


230 

18 
256 

31 
604 

24 
536 

21 
181 
127 
437 

24 

282 
204 
323 
462 
267 
256 
170 
495 
301 
222 
173 
425 
150 
285 
132 
331 
96 
159 
388 
277 

955 
295 
216 
208 
457 
220 
253 
741 
287 
397 
156 
240 
655 
686 
176 

205 
191 
155 
328 


329 

45 
615 

42 
969 

76 
839 

37 
384 
193 
683 

55 

231 
258 
255 
485 
237 
208 
151 
394 
370 
240 
190 
410 
159 
284 
200 
343 
108 
118 
366 
155 

1.733 
269 
176 
296 
564 
156 
653 

1,402 
418 
637 
115 
463 
932 
806 
155 

396 
150 
183 
364 


36 

8 
46 
15 
70 
15 
79 

8 

15 
41 
52 

8 

32 
20 
27 
59 
21 
23 
20 
57 
57 
46 
11 
81 
14 
56 
19 
44 
13 
17 
31 
31 

136 
54 
20 
30 

115 
20 
58 

223 
31 
53 
8 
29 
96 
83 
8 

45 
32 
45 
41 








"eschutes 
























lamath State Police 












6 


PENNSYLVANIA 


4 

1 

1 

1 
1 
1 
1 


5 




3 


radford State Police 


18 




33 




19 




2 




17 




12 




30 




18 




3 




45 




7 




2 
1 
2 


23 




2 


:huylkill State Police 

(lyder State Police 


9 

4 


1 
1 


8 




11 




8 


SOUTH CAROLINA 

ieaufort 

'herokee 


3 
1 

1 
4 
7 
6 
2 
7 


37 
4 
6 
3 

26 
3 
13 
19 
10 
13 
2 
4 
22 
18 
2 

3 
7 
1 
1 


24 
16 




14 


'olleton 




)arlington 


22 




1 




2' 




IC 




1 

6 
1 
9 

7 
2 

3 


r 










)conee 


2 




1( 




i 


TENNESSEE 


1 




1 




3 

3 




Roane 


1 



143 



Table 8. — Number of Offenses Known to Ihe Police, Rural Counties 25,000 and over in Population, 1983 — Continued 



County by Stale 



Cnmc 
IndcJt 
total 



Modified* 
Cnme 
Index 
total 



Murder 
a; J non- 
ncgligcnl 

man- 
slaughler 



Forcible 
rape 



Robbery 



Aggra 
vated 
assault 



Burglary 



Larceny- 
I heft 



Motor 

vehicle 

theft 



TEXAS 

Angelina 

Cass 

Henderson 

Hunt 

Rusk 

Starr 

UTAH 

Cache 

VIRGINIA 

Accomack 

Accomack State Police 

Augusta 

Augusta State Police 

Bedford 

Bedford Sute Police 

Carroll 

Carroll State Police 

Fauquier 

Fauquier State Police 

Franklin 

Franklin State Police 

Frederick 

Frederick State Police 

Halifax 

Halifax State Police 

Henry 

Henry Stale Police 

Rockingham 

Rockingham State Police 

Russell 

Russell Sute Police 

Spotsylvania 

Spotsylvania State Police 

Tazewell 

Tazewell State Police 

Wise 

Wise State Police 

WASHINGTON 

Chelan 

Clallam 

Cowlitz 

Grant 

Grays Harbor 

Island 

Lewis 

Skagit 

WEST VIRGINIA 

Berkeley Stale Police 



523 
180 
408 
492 
416 
376 



389 



287 

64 
966 

32 

417 

9 

209 

12 
209 

34 
314 

10 
776 

38 
302 

20 
1,450 

I 
353 

17 
209 

25 
1,300 

60 
396 

43 
329 

35 



1,386 
572 
977 
856 
803 
459 
1,080 
1,004 



3241 



525 
180 
408 
492 
416 
380 



394 



290 

64 
971 

38 

422 

9 

214 

13 
209 

37 
317 

II 
777 

41 
303 

20 
1,467 

21 
360 

26 
209 

32 
l.30: 

60 
396 

56 
338 

47 



1,387 
578 
986 
862 
803 
470 
1,090 
1,009 



325 



30 



133 
28 
17 
93 
75 
10 
33 
19 



188 
87 
193 
215 
192 
177 



72 



123 

24 

217 

5 

162 



83 

132 

II 

62 

2 

240 

7 

93 

3 

405 

2 

122 



61 

7 
254 

134 

15 

158 

9 



270 
168 
396 
177 
295 
223 
346 
368 



137 



248 
70 
195 
201 
180 
157 



278 



135 

35 

641 

13 

190 

6 

102 

5 

74 

20 

217 

4 

485 

28 

183 

9 

903 

6 

200 

3 

94 

7 

914 

51 

211 

24 

97 

13 



910 
337 
511 
536 
396 
204 
644 
576 



122 



30 
9 

40 
31 
12 



6 
3 

48 
7 

II 
3 
7 
3 



16 

3 

39 

3 

3 

7 

78 

8 

2 

11 

22 

10 

70 

5 

20 

3 

50 

10 



59 
23 
35 
40 
29 
16 
44 
34 



38 



144 



able 8. — Number of Offenses Known to the Police, Rural Counties 25,000 and over in Population, 1983 — Continued 



County by State 



WEST VIRGINIA— Continued 

IcDowell Slate Police., 
larion 

[arion State Police 

lercer 

lercer State Police 

lingo 

lingo State Police 

lonongalia 

lonongalia Slate Police.. 

aleigh 

aleigh Slate Police 

'yoming 

'yoming State Police 



WISCONSIN 



aiTon 

lark 

oiumbia 

'odge 

ond du Lac.. 

■rant 

tanitowoc 

oik 

oilage 

iuk 

Iiawano 

rempealeau .. 

'alworth 

Waupaca 

food 



STATE AGENCIES 



.laska State Police 

.rizona Department of Public Safety . 

'onnecticul State Police 

ermont State Police 

rtsconsin State Patrol 



Crime 
Index 
total 



OTHER AREAS 



205 
282 
144 
360 
219 
294 
256 
229 
284 
377 
336 
1 
196 



326 
334 
620 
481 
341 
393 
510 
970 
633 
365 
318 
420 
690 
638 
622 



5.479 

15 

9,177 

5,478 

3 



4,380 



Modified' 
Crime 
Index 
total 



287 
149 

219 

269 
229 
287 
380 
336 
1 
196 



330 
334 
622 
493 
343 
395 
512 
978 
635 
366 
322 
423 
693 
639 
622 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 




Robt)ery 



135 



Aggra- 
vated 
assault 



20 



123 
21 



Burglary 



728 
15 

580 

70 

3 



93 



124 
94 
38 

126 
62 
93 
75 
60 
79 

178 
71 



Larceny- 
theft 



69 



105 
83 
179 
189 
72 
120 
173 
290 
175 
89 
107 
109 
184 
149 
243 



1,595 



3,472 
2,367 



1,334 



35 
152 

69 
162 
100 

75 

94 
168 
162 
149 
203 



Motor 
vehicle 
theft 



195 
235 
411 
246 
250 
233 
297 
549 
375 
256 
167 
283 
461 
439 
358 



2,417 



4,283 
2,672 



2,069 



24 
18 
33 
38 
30 
76 
69 
1 
33 
19 
43 



22 



19 
9 
15 
23 
14 
17 
15 
68 
46 
4 
33 
28 
34 
30 
15 



550 



646 
279 



751 



2 
12 
2 
2 
2 
8 
2 
1 
4 
3 
3 
1 



64 



96 
233 



145 



Table 9. — Crime Trends, Offenses Known to the Police, Population Group, 1982-1983 

[1983 estimated population] 



Population group 



TOTAL ALL AGENOES: 

12,814 agencies; 
population 217,123,000: 

1982 

1983 

Percent change 



TOTAL CITIES: 8,768 cities; 
population 14«,098,000: 

1982 

1983 

Percent change 



Group 1 

57 cities, 250,000 and over; 
population 39.461,000: 

1982 

1983 

Percent change 

5 cities, 1,000.000 and over; 
population 14,857,000: 

1982 

1983 

Percent change 

17 cities, 500,000 to 999,999; 
population 11,869,000: 

1982 

1983 

Percent change 

35 cities, 250,000 to 499,999; 
population 12,735,000: 

1982 

1983 

Percent change 



Crime 
Index 
total 



12,080,437 

11,266,832 

-6.1 



9,840,197 

9,185,063 

-«.7 



Modified' 
Cnme 
Index 
total 



12,183,072 

11,358,218 

-6.8 



9,920,177 

9,255,806 

-«.7 



Group II 

120 cities, 100,000 to 249,999; 
population 17,607,000: 

1982 

1983 

Percent change 

Group III 

299 cities, 50.000 to 99,999; 
population 20,439,000: 

1982 

1983 

Percent change 

Group IV 

628 cities, 25,000 to 49,999; 
population 21.585,000: 

1982 

1983 

Percent change 



,679.393 

,426,682 

-6,9 



,423.275 

,324.279 

-7,0 



.061.412 

987,941 

-6.9 



,194,706 

,114,462 

-6.7 



1,448.616 

1.352.448 

-6.6 



1.297.267 

1,221,077 

-5.9 



1.266,177 

1,185,820 

-6.3 



Violenr 
crime 



1,204,706 
1,147,372 

-4. 



1,005,940 

957,757 



3,716,115 

3,458,965 

-6.9 



1.439.018 

1.338.390 

-7.0 



1,069.959 

995.470 

-7.0 



1.207.138 

1,125,105 

-6.8 



1,460,679 
1,363,137 

-6,7 



1,307,162 

1,229,912 

-5.9 



1.274.520 

1.193.118 

-6,4 



Properiy 
cnme 



10,875,731 

10,119,460 

-7.0 



8,834,257 

8,227,306 

-6.9 



535.849 

508.854 

-5.0 



257,626 

245,236 

-A. 



127,529 

119,186 

-6.5 



1 50,694 

144,432 

-A2 



133,346 

127,412 

-4,5 



107,881 

106,914 

-.9 



91,014 

86.171 

-5,3 



Murder 
and non- 
negligent 

man- 
slaughter 



20,181 

18,593 

-7.9 



3.143,544 

2,917,828 

-7.2 



1,165,649 

1,079,043 

-7.4 



933,883 

868,755 

-7.0 



1,044,012 

970,030 

-7.1 



1,315,270 

1,225,036 

-6.9 



1,189,386 

1,114,163 

-6.3 



1.175.163 

1.099.649 

-6.4 



15,551 

14,508 

-6.7 



Forcible 
rape 



72,877 
72,907 



56,621 
57,068 



9.175 

8.703 

-5.1 



4,708 

4,623 

-1 



2,236 
2,074 
-7.2 



2,231 
2,006 
-10.1 



1,991 
1,772 
-11.0 



1,282 
1.257 
-2.0 



1.192 
1.047 
-12.2 



Robbery 



Aggra- 
vated 
assault 



507,411 

464,253 

-8.5 



461,704 

422,480 

-8.5 



27.343 

27.450 

■f.4 



9.529 
9.671 
+ 1.5 



8.009 

7.895 

-1.4 



9.805 
9.884 



i.640 
i.61 
-.3 



7.199 
7.316 



5.692 
5.634 
-1.0 



604,237 

591,619 

-2.1 



472,064 

463,701 

-1 



306.086 

279.664 

-8.6 



165.006 

151.222 

-8.4 



70.565 

63.579 

-9.9 



70.515 

64,863 

-8.0 



56,965 

51,852 

-9.0 



39,799 

36,995 

-7.0 



29,147 

27,002 

-7.4 



Burglary 



3,220,613 

2,923,197 

-9.2 



2,508,243 

2,271,016 

-9.5 



193.245 
193,037 

-.1 



78,383 

79,720 

■fl.7 



46,719 

45,638 

-2.3 



68,143 

67,679 

-.7 



65.750 

65.170 

-.9 



59.601 

61.346 

+ 2.9 



54.983 

52.488 

-4.5 



Larceny- 
theft 



6,679,894 

6,278,196 

-6.0 



5,496,458 

5,175,354 

-5.8 



984.915 

877.309 

-10.9 



383.861 

331.849 

-13.5 



271.600 

243.990 

-10.2 



329.454 

301.470 

-8.5 



383.329 

350.292 

-8.6 



335.816 
308.759 



308.459 

283,893 

-8.0 



Motor 
vehicle 
theft 



975,224 

918,067 

-5.9 



829,556 

780,936 

-5.9 



1.729.975 

1.635,465 

-5.5 



546.791 

525.347 

-3.9 



560.827 

528.817 

-5.7 



622,357 

581.301 

-6.6 



832,552 

781,220 

-62 



752,273 

709,044 

-5.7 



783,358 

737,554 

-5.8 



428,654 

405,054 

-5.5 



234,997 

221,847 

-5.6 



101,456 

95,948 

-54 



92,201 

87,259 

-5.4 



99,389 

93,524 

-5.9 



101,297 

96,360 

^.9 



83.346 

78.202 

-6.2 



8,343 
7,298 
-12.5 



146 



Table 9. — Crime Trends, Offenses Known to the Police, Population Group, 1982-1983 — Continued 



Population group 


Cnme 
Index 
total 


Modified' 
Crime 
Index 
toul 


Violent' 
cnme 


Property^ 
cnme 


Murder 
and non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


Arson' 


Group V 

1,578 cities, 10,000 to 24,999; 
population 24,753,000: 

1982 


1,186,746 

1,105,704 

-6.8 

961,998 

893,332 

-7.1 

1.659,923 

1,542,181 

-7.1 

580,317 

539,588 

-7.0 

3,865,257 

3,577,847 

-7.4 


1,193,693 

1,112.100 

-6.8 

968,008 

898,574 

-7.2 

1,676,444 

1,557,278 

-7.1 

586,451 

545.134 

-7.0 

3,896,323 

3,605.753 

-7.5 


78,258 

72,896 

-6.9 

59.592 

55.510 

-6.8 

151,966 

144,955 

^.6 

46,800 

44,660 

^.6 

298,131 

281,179 

-5.7 


1,108,488 

1,032,808 

-6.8 

902.406 

837,822 

-7.2 

1,507,957 

1.397,226 

-7.3 

533,517 

494,928 

-7.2 

3.567,126 

3,296,668 

-7.6 


1,049 
964 
-8.1 

862 

765 

-11.3 

2,847 
2.485 
-12.7 

1.783 
1,600 
-10.3 

4,576 
4,031 
-11.9 


4,404 
4,547 
+ 3.2 

3,343 
3,503 
+ 4.8 

12.178 

11.655 

^.3 

4,078 
4,184 
+ 2.6 

20,756 

20,211 

-2.6 


19.520 

17,927 

-8.2 

10,187 
9,040 
-11.3 

40,690 

37.139 

-8.7 

5,017 

4,634 

-7.6 

83,894 

76,390 

-8.9 


53,285 

49,458 

-7.2 

45,200 

42,202 

-6.6 

96,251 

93,676 

-2.7 

35,922 

34,242 

-AJ 

188,905 

180,547 

^.4 


281,385 

255,667 

-9.1 

214,339 

195,096 

-9.0 

508,324 

463,738 

-8.8 

204.046 

188,443 

-7.6 

1,031,387 

935,840 

-9.3 


757,244 

712,256 

-5.9 

641,056 

599,815 

-6.4 

884,359 

824,472 

-6.8 

299,077 

278,370 

-6.9 

2,271,982 

2,112,779 

-7.0 


69,859 

64,885 

-7.1 

47,01 1 
42,911 

-8.7 

115.274 

109.016 

-5.4 

30,394 

28,115 

-7.5 

263.757 

248,049 

-6.0 


6,947 


1983 


6,396 




-7.9 


Group VI 

6,086 cities under 10,000; 
population 22,253,000: 

1982 


6,010 


1983 


5,242 




-12.8 


Suburban Counties 

1,240 agencies; population 
42,355,000; 

1982 


16,521 


1983 


15,097 




-8.6 


Rural Cou^JTIEs' 

2,806 agencies; population 
28,670,000: 

1982 


6,134 


1983 


5,546 




-9.6 


Suburban Area' 

87,385,000: 

1982 


31,066 


1983 


27,906 




-10.2 







'The number of agency reports used in arson trends is less than used in compiling trends for other Crime Index offenses However, the number of agencies used in the arson 
column of this table is greater than the number used in the tables on pages 38 and 39, since it is not necessary to report arsons by property classification to be included in this 
table. The Modified Crime Index total is the sum of the Crime Index offenses, including arson. 

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

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

^Includes state police agencies with no county breakdown. 

'Includes suburban city and county law enforcement agencies within metropoUtan areas. Excludes core cities. Suburban cities and counties are also included in other groups. 



147 



Table 10. — Crime Trends, Offenses Known to the Police, Suburban and Nonsuburban Cities', Population Group, 1982-1983 



[1983 estimated population] 


























Population group 


Crime 
Index 

total 


Modified^ 
Crime 
Index 
total 


Violent' 
crime 


Property* 
crime 


Murder 
and non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robt>ery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


Arson^ 


Suburban Cities 


























TOTAL SUBURBAN ClllES: 


























4,775 cities; 


























population 45,030,000: 
1982 


2,205,334 
2,035,666 

-7.7 


2,219,879 

2,048,475 

-7.7 


146,165 

136,224 

-6.8 


2,059,169 
1,899,447 

-7.8 


1,729 
1,546 
-10.6 


8,578 

8,556 

-.3 


43,204 

39,251 

-9.1 


92,654 

86,871 

-6.2 


523,063 

472,102 

-9.7 


1,387,623 
1,288,307 

-7.2 


148,483 

139,033 

-6.4 


14,545 


1983 


12,809 


Percent cliange 


-11.9 






Group IV 


























442 cities. 25,000 to 49.999; 


























population 15,054,000: 

1982 


824,168 
761,980 

-7.5 


829.854 

766.927 

-7.6 


60,786 
57.958 


763.382 

704,022 

-7.8 


713 

619 

-13.2 


3,664 
3.586 
-2.1 


21.079 

19.361 

-8.2 


35.330 

34.392 

-2.7 


202,899 

182.899 

-9.9 


497,005 
460,980 

-7,2 


63,478 

60,143 

-5.3 


5.686 


1983 


4.947 


Percent change - 


-13.0 


Group V 




1,100 cities, 10,000 to 24,999; 


























population 17,459,000: 

1982 


795.224 

734.322 

-7.7 


800.178 
738.940 

-7.7 


52,114 

47,655 

-8.6 


743,110 

686,667 

-7.6 


602 
562 
-6.6 


2,938 
2,973 
*\.2 


14.935 

13,585 

-9.0 


33,639 

30,535 

-9.2 


192,338 

173,851 

-9.6 


496,836 

462,608 

-6.9 


53,936 

50,208 

-6.9 


4,954 


1983 


4,618 


Percent change 


-6.8 


Group VI 


























3.233 cities under 10,000; 


























population 12,517,000: 

1982 


585.942 


589,847 


33,265 


552,677 


414 


1,976 


7,190 


23,685 


127,826 


393.782 


31,069 


3,905 


1983 


539,364 


542,608 


30,611 


508,753 


365 


1,997 


6,305 


21,944 


115.352 


364,719 


28,682 


3,244 


Percent change 


-7.9 


-8.0 


-8.0 


-7.9 


-11.8 


-i-l.l 


-12.3 


-7.4 


-9.8 


-7.4 


-7.7 


-16.9 


Nonsuburban Cities 


























TOTAL NONSUBURBAN 


























CITIES: 3,517 cities; 


























population 23,561,000: 
1982 


1,209,587 

1,149,190 

-5.0 


1,216,342 

1,155,317 

-5.0 


82,699 

78,353 
-5.3 


1,126,888 

1,070,837 

-5.0 


1,374 
1,230 
-10.5 


4,861 
5,128 

+ 5.5 


15,650 

14,718 

-6.0 


60,814 

57,277 
-5.8 


281,120 

262,554 

-6.6 


794,035 

761,318 

-4.1 


51,733 

46,965 

-9.2 


6,755 


1983 


6,127 


Percent change 


-9,3 


Group IV 


























186 cities. 25,000 to 49,999; 


























population 6,531,000: 

1982 


442,009 

423,840 

^.1 


444,666 

426.191 

-4.2 


30.228 

28.213 

-6.7 


411.781 

395.627 

-3.9 


479 

428 

-10.6 


2,028 
2.048 
+ 1.0 


8.068 
7.641 
-5.3 


19.653 

18.096 

-7.9 


105,560 

100,994 

^.3 


286.353 

276.574 

-3.4 


19.868 

18.059 

-9.1 


2,657 


1983 


2,351 


Percent change 


-11.5 


Group V 


























478 cities, 10,000 to 24,999; 


























population 7,294,000: 

1982 


391.522 
371.382 


393.515 
373,160 


26.144 
25.241 


365.378 
346.141 


447 
402 


1.466 
1.574 


4.585 
4,342 


19.646 
18.923 


89,047 
81.816 


260,408 
249.648 


15.923 
14,677 


1.993 


1983 


1.778 


Percent change 


-5.1 


-5.2 


-3.5 


-5.3 


-101 


+ 7.4 


-5.3 


-3.7 


-8.1 


^.1 


-7.8 


-10.8 


Group VI 


























2,853 cities under 10.000; 


























population 9.736,000: 

1982 


376.056 
353.968 


378,161 
355,966 


26.327 
24.899 


349.729 
329.069 


448 
400 


1,367 
1,506 


2.997 
2.735 


21.515 
20,258 


86.513 
79.744 


247.274 
235,096 


15,942 
14,229 


2,105 


1983 


1,998 


Percent change 


-5.9 


-5.9 


-5.4 


-5.9 


-10.7 


+ 10.2 


-8.7 


-5.8 


-7.8 


-4.9 


-10.7 


-5.1 







'Suburban places are wilhin Metropolitan Statistical Areas (MSAs) and include suburban city and county law enforcement agencies within the metropolitan area. Core cities are 
excluded. Nonsuburban places are outside MSAs. 

^The number of agencies used in arson trends is less than used in compiling trends for other Crime Index offenses. The Modified Crime Index total is the sum of the Cnme 
Index offenses, including arson. 

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

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



148 



'able 11. — Crime Trends, Offenses Known to the Police, Suburban and Nonsuburban Counties, Population Group, 1982-1983 

1983 estimated population] 



Population group 


Crime 
Index 

tola! 


Modified' 
Crime 
Index 
total 


Violent' 
crime 


Property^ 
crime 


Murder 
and non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


Arson' 


Suburban Counties* 


























100,000 and over 


























9 counties; population 


























23,176,000; 

1982 


1,103,974 

1,026,076 

-7.1 


1,114,902 

1,036,214 

-7.1 


103,770 

99,030 

-4.6 


1,000,204 

927,046 

-7.3 


1,718 
1,549 
-9.8 


7,980 

7,359 
-7.8 


32,578 

29,717 

-8.8 


61,494 

60,405 

-1.8 


329,513 

299,833 

-9.0 


591,659 

551,605 

-6.8 


79,032 

75,608 

^.3 


10,928 


1983 


10,138 


Percent chanse 


-7.2 


25,000 to 99,999 


























21 counties; population 


























16,058,000: 
1982 


406,556 

379,389 

-6.7 


410,243 

382,725 
-6.7 


33,5*1 

32,119 

^.4 


372,975 

347,270 

-6.9 


827 

699 

-15.5 


2,948 
3.014 
+ 2.2 


5,031 

4,638 

-7.8 


24,775 

23,768 

•-».l 


135,117 

124,096 

-8.2 


216,260 

202,691 

-6.3 


21,598 

20,483 

-5.2 


3,687 


1983 


3,336 


Percent chance 


-9.5 


Under 25,000 




20 counties; population 


























3,121,000: 

1982 


149,393 

136,716 

-8.5 


151,299 

138,339 

-8.6 


14.615 

13,806 

-5.5 


134,778 

122,910 

-8.8 


302 

237 

-21.5 


1,250 
1,282 
+ 2.6 


3,081 
2,784 
-9.6 


9,982 

9,503 

^.8 


43,694 

39,809 

-8.9 


76,440 

70,176 

-8.2 


14,644 
12.925 
-11.7 


1,906 


1983 


1,623 


Percent change 


-148 


Nonsuburban Counties' 


























25,000 and over 


























00 counties; population 


























11,413,000: 
1982 


234,834 


236,881 


19,198 


215,636 


536 


1,694 


2,295 


14,673 


80,509 


123.823 


11.304 


2,047 


1983 


216,782 
-7.7 


218,647 

-7.7 


17,827 
-7.1 


198,955 

-7.7 


521 
-2.8 


1,659 
-2.1 


2,065 
-10.0 


13,582 
-7,4 


74,143 
-7.9 


114,694 
-7.4 


10.118 
-10.5 


1,865 


Percent change 


-8.9 


10,000 to 24,999 


























64 counties; population 


























11,934,000: 
1982 


189,741 


191,268 


14,757 


174,984 


643 


1,118 


1,425 


11,571 


68,811 


97,445 


8.728 


1.527 


1983 


177,281 
-6.6 


178,671 
-6.6 


13,916 

-5,7 


163,365 
-6.6 


540 
-160 


1,130 
+ 1.1 


1,347 
-5.5 


10,899 
-5.8 


63,112 
-8.3 


91.631 
-6.0 


8.622 
-1.2 


1.390 


Percent change 


-9.0 


Under 10,000 


























,740 counties; population 


























4,987,000: 

1982 


145,078 
134,550 

-7.3 


147,315 

136,544 

-7.3 


11,966 

11,822 

-1.2 


133,112 

122,728 

-7.8 


550 

485 

-11.8 


1,147 
1,193 
+ 4.0 


1,237 
1,181 
^.5 


9,032 

8,963 

-.8 


50,806 

47,226 

-7.0 


72.731 

66.956 

-7.9 


9,575 
8,546 
-10.7 


2.237 


1983 


1,994 


Percent change 


-10.9 



'The number of agencies used in arson trends are less than used in complhng trends for other Crime Index offenses. The Modified Crime Index toUl is the sum of the Crime 
ndex offenses, including arson. 

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

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

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



149 



^ ac o 

* "> ift 

r- r^ 52 

so Tt I 



vA rs « 

K ?5 « 






of 



^ r- » 

■* 1^ r-.* 

rM Ov *r 



2 § 3 



:^? 



3 3 



^ 1-^ r-1 



-■ t 



-" f"" H 
^. o^ ^ 



— fN — 
(^ f"^ r^ 
wl <-0 Lj 



r- QO On 

W-) ir> _: 
oo O '^ 






;S t 







r- 
O 

7 







^ rs oo 


ON rs 0^ 


22 ICI o 


2o§ 


PS7 


c-ri so o° 


<^ — + 


-.0 + 


«-l !/-» 





sD r- ir> 
92 ^ r-j 

O ON 'f 



ir> rN U-. 



«(-i O "^ 

S K 'f 















3 


r-4 




R 


O 


o 


rvi 


fN) 




ir> 


"* 


1 



".St 






SSf" 



— 1^ ON 



iS5 



■-t f--i r-4 
"T. "O. ^ 



^ in t-; 

?n ON. "j* 

oo Ift 

^ o 

rN| IS 



I/-) oo r— 






ON Q — 

oo ON ^ 






C u 

3 



r- i/i ^* 

00 r-* 



OS >* rs 
r^ in _^ 
Ift 00 ~ 

S3 



oo — • 
O oo ' 

1^ s 



o "^ _; 

r— r^ ^ 

3' r-' I 



r^ \0 *^ 

W*! On • 
U-1 ^ 



O w^ r4 

oo — , 






1=5 



n » Tt 

2 3 7 
S2 



<*) **i iM 

<=> ^ — 

fM •• 2 

o S 



O fN Z 

Tf" r^' 1 



O ■* ON 

«^ fNj ■ 

— -o " 
r-T so 



ON ON 

o o 









s 


ON 


r^ 


i-n 












fvi 






ON 


-Jl 


<-> 






1" 


O 


r-_^ 



o 


r- 


^ 








r^ 












ON 




ON 




ON 











OO 


■»*■ 


O 




On 




oo 






rg 


r-i 




on 


rN) 


NO 


ON 


rj 





« rvi On 
5 S + 
1^ o' 



r- w-> Tr 

Tf r-^i _^ 
ro ON ^ 



O ON o 
ON w-i _,: 

f-l ON ^ 



in ^ O' 
sO ^ 
(^ »n + 



s s ; 
= 1 E 



;s-- 



o r- « 
m o _j 

00 r- '7 
^ so" ^ 



r'l 0^ r— 

"" "^ rvi 
oo nj '^ 



r- 0^ On 
"^ <^ iX 

r- o ^ 



O r- oo 

oo ON + 
so ^' 



vO — 'O 
ON ON |- 



o o> 



— ^ oo 

o <> ^ 

ON r^_ "Y 
r-I On 



SO f-l 
O r- '<' 



— O ^ 



OS O <^ 

t S (^^ 



s 


»n 
oo 


+ 


fN* 

Co 




ON 

r-' 


— 


« 




«? 


SO 





"* ■* oo 
H- rO ^ 



010 

•"■ ^ sb 

oo •* ^ 






oo >e 4S 

«S Os' 



so o o 



■»!- OJ On 
so OO ■* 



O <*! O 

m r~ ■ 
CN rN| , 



O 

cu 



o on ■ 

5 3 S E 



?2"- 



■- ^ r^ 
ift r- -^* 

o (-^ "7 



— r^ w-1 









ti 


fNl 


ON 








r4 












C-) 




2; 







u-^ T^ r- 
ro r- -^ 

NO ON '7 



oo OO W^ 

oo r-^ 









? 


s 


tn 










r- 











so f5 < 
oo_ 0\_ \ 



s?: 



K-i oo _^; 

<~Nl -^^ 2 

so' fN I 






If 



Oi O 00 



SO — ■^ 
r- »ri .- 

oo oo ' 



O — oo 
f^ '^ ^ 
— fNl "7 



■^ fNl SO 

OS u-» ^ 
>n </^ '7 



r-j oo o 
— O ^ 



oo Tj- O 



^ OS ■«* 

3 S -" 






*n r^ ^ 

!33 



>/^ r^ — 






V 

s 
•c 
u 

I - 
• i 



S - *- 

» so 



J « ^ 00 00 J?: 

<S 2.22a; 

g2 



J ■= I i 

2 « s 

t « 2 

O r-_ — 



aj .— *w 



: 8 



;s 



o 



I — oo oo 



— oo oo 
3 Os ON 



5 S. 



if^ -^ oo oo L. 

.t: a. — — Oh 



.— -- oo oo u 
.= 3 On ON « 

t> a.— — cu 

OS Cl, 



150 



•a 

B 



O 
u 

o 

B 
B 



O 
0. 



o 

£ 

09 

B 
O 



E 

•c 











r^ 


CT\ 




■«* 


o 


^ 


r- 


W-1 






^O 


■sO 


f^ 






rs 


m 







r*l 


rr, 








r- 






1 




u 




ss:: 




o Tt ^ 


Q '^ u-^ 
■*. "^ 1 




3 '*= U-; 
00 ;q 






S?^ 




00 00 






SSof 




j: 




— " — " 1 




— ' ^' 1 


— ■ _■ 




— 1 






1^ m 










so' ^ 




6 




































— O r^ 




— r- f^ 


O OS r- 




^ " ** 

rn -4: 






>0 00 ■* 




^ u-l r^ 






Os r— rs 


~c 


u 




0° ("^ QO 




S. ?:.::: 


=^-^.°? 








^of 




»= Q U-* 






^^°j- 


g 


1 




CN (N 




— — 1 


— — 




— ^ 1 






Tl--^- 










r- r- ' 


< 


s 




































^ r- w-i 




O — rs 


so rN ^ 




^ -* -^ 






r- 00 f^ 




u-i r— m 






w-» "* 








PiS-f 




£2;^ 


oo oo -^ 

C^ ■« "7 




w-1 r-i _; 






s;So^ 




gS:^ 






OS OS ^ 

r-4 to 2 




3 








r- (-o _^ 














1 




w-C V 




■^' ■*' t 


rn (-n 




r^" r^' 1 






00' r-" 




"tt rn 1 






— * !i ' 








OO ■^ OO 




r^ ^ OO 


oo r*^ i/-| 




r*l CTs *n 






-* ^ 




-<j- c^ 00 






r- 00 <N 




b^ 




SE;=^ 




W"! (N _: 


0° ■* iX 

r^ in ;Cl 




SCP2 






t~- "^ r--; 
oj rM ;^ 




^.R-T 






3?2 




^ ,ii 




— ' 2 




— O 


ZZ ""* ' 




00 r-~" 1 






r^f on' I 




r^ so 






<2 r-^ 1 




— JZ 




















nj — 










■* m 


-5 


O w 
































^ 






































r-J w-i "^ 




■* "* oo 
u-1 v£i _^ 

^. '^. "7 


^ rg r- 




r- OS 






so ^ OS 




so r-i — 






oo so so 












RS°f 






^ "^ Q<i 
00 00 °? 




5:S=V 






SJ!-" 


~ 




















1 

o 




"^ rs 




— o 


— 2 




00 r- 






oX 




rCvO 






3S 


o 






m rg O 




w-1 o^ r-) 


O oo M-i 




r- 00 M-> 






(S ro t— 




3^7 






^ OS ■ 
sO_ 00*7 


z 


2 




"S.t 




is7 


m r— _^ 




SSrf 






2^7 












W-l (N 




SK 


r- u-> 




os" r-' 






0" 00" 




w-i" ij-" 






«0 Os" 












■«J- Tf 




<-J (N 






r- so 










r- so 




< 


































las 

*. o "^ 




r-i O C7^ 




oo so vD 


«n Tj- ON 




■<)■ SO OS 






fM so 




r-i ~- — 






r- to r-4 






«-. rs ^ 

O U-. T 




•^ r- U-; 


"^ C:; sd 

OS O ^ 




= P^ 






OS OS -^ 
tn 00^ "Y 




— m _^. 






O^Io (7 






— ' o^' 




CJ< oo 


r-' "O 




00 






•n r4^ 




00 00 






00 ri^ 






r*! rM 




«N <N 


r-4 (N 










m I—, 










00 00 






































































<*" 




































r^ r*i ir\ 




<^ O — 


O oo oo 




»n 0^ Tf 






rM rvi 




so r- o^ 






,0 so CM 


t 


If 




s^_-r 




S « ^ 


^.~i 




ss^ 






-¥ r- ^ 




r^ '^ U-, 

00 m 1 






00 — ; 
rs| OS 't' 






■^ ro 




w^ — 


r- "^ 




(N OS* 






r-* r-' 




00' so* 






s's 


J3 c 




O ^ 




sO ^O 


vi m 




»n ■* 






OS 




ro r*-i 






3 


c u 






























r^l r-4 


CO 


3 




































«!l- rj U-. 




oo oo CT^ 


r^ m r-l 




-^ *r» so 






''^ 00 




OS 00 r^ 






r^ rsi cjs 




1 fr 




^ "^ r^ 






JQ Jn o 

so' vo' 1 




— so' 1 






p— 00 __ 
oo_ °f 




00 00 
>0 (N 






00 t^ 






r^ — 




— o 


OS r- 




■<*■ nj 






so rr, 










;;3 




|1 




rs rj 














^"^ 


rn m 




— — 












0^ O 




o a- ro 


O ^£> w^ 




0^ 00 */-! 






•* r- 




— ^o r- 






r^l m ■* 










oSS't 


s^.'t; 




^.^.i 






— r-J , 




1^ r^ _^ 






^ip^ 




« , ii 




Js ?=S + 










rr,^ — 1 










1| " 




\o' so 




cjC r^' 


— oC 




«N — 










2 2 






so* r-4 












fs — 




(N CN 






r-i rsl 










so SO 




= ■-1 




































•* o — 




so — o 


^ ro u-1 




Q ■^ 






^ Tf f*^ 




■* « u^ 






^ r- OS 

m rri ~ 
— ' 0" 


3 






t 3^ ■^ 




22-7 






Q 0^ r-: 
OS "Y 

00' r-' 






is + 

00' 00' 




RS7 

r-' r-" 






1 




















rJ rsi 










»o «o 






^ — oo 




to r- >/^ 


« OS (N 




OS Q so 






— so ^O 




— 00 






oo ■^ so 


n 






oo r- -^ 




o — 


rn O 1 












r^ (N __ 






"^ 0^ ■ 


Ifgs 




^ o f? 




OJ O 7 


oo oo ' 








'O ro "7 




so_ w->_ ": 






00 r4 I 


< 




r^ uj- + 




(N oj 


O O 




















^*^" 


C 3 C E 






























m f-l 




































r^ r- 






•O ^ «ri 
m O _^ 




•^ — ^ 






so 1^ 




so so >0 






r- r— 




1 








s.^.'f 




"^ 0^ r»; 

OS r^ "^^ 






g^<^ 




m r^ ,^ 






°o°r 




s 








o^ oo 


oo" r— ' 1 




mt" «0 






r4" 




00 r- 






vO r^ 






— _ 
















fS r>J 










n-i r*i 




[i: 






































CT^ o r- 






r^-i — Tj- 










r^ r--i tr 




— — 






»o -* r- 




il 




v-i ^ ^^ 




il^ 


r-* r-' 














H-5- + 






r- <o -a 

00 '7 

0* 
































f> o^ 




(/I M 




































r^ r- (N 




in — >o 


r- r-) (N 




r- f-^ Tt 






^ OS OO 




g sc 






-«r <N 




J= rt 




£^=^ 




<N -O _ 
CM OJ "7 


Tt u-> „ 
r— m _^ 




s;S:£ 






r^ 00 "^ 




S In + 






rsi >o ^ 






rsTr^- ' 




<N ri ^ 


«* »* 1 




1 






nj of + 










so* »0 


E- 


6| 
































1 






































G O ^ 

O ON J- 




•-^ w-i oo 


-O OC ■^ 




Q 00 fsl 

^ - 2 






^O r-i 00 




r- 00 




to so »0 


o 
a: 


less 






^- oo 1 


f) rs ^ 








«.S.^ 




00 fM -^ 

«n so ^7 






S2-P 






w^ i/-r 




r^ rn 


rj rM 




— ' ~S 1 






Tr -* 








ON <?r 




"sill 


































































^ o- 




































O f^ r- 




oo — \0 


m rs) r-j 




r- 






00 ^0 m 




OS >n 




■<t rj — . 




1 




ss- 




SSs 


3°C: 




0^.:: 






5§- 




5!S~ 




S82 








■^' rvT 1 




—' oC 1 


r-" ^ 1 




■*' ro 1 






Os" so' 1 




rj' — 






«o' — 1 
































rr) rri 








































^ v^ 1— 




Tf tJ- — 


r^ OS \0 




r-- r- 






so sO 




r- 01 00 




OS to 




i ia. 




f^ "-i L- 




".-.1' 


^ O - 




o.S.- 






«0 ,_ 




SS^ 




B«-^ 


K 


i " i 




r-4 — 1 




— — 


^- — 








rsi rsj 










to ^ 


2 


<2a 
































S 






§5- 




m oo oo 


r-i 'O O 




"^ 'S- 






u^ r- o^ 




r*^ m 0> 




OS — 00 


s; 


■S'^ 






O rn 


^5^ 




•-^ >n u-i 
■-0 ■* '^ 






'^ 7 




Pi5^ 




so 00 ■ 
so f*l v 


£ 






tX" K-T * 




-* Tt" 


^-^- + 




r^-oa + 






oC os' 




r-Cro' + 




W<«5 ' 




































OS 
















































































































cK 






































































.. 








a 

H 











a 









"< 


8 












s 
o 

1 

o 


o 


a" 




S 

c 

■1 


g § 


oo 

fN 




0. 

c 


> 28 
S Is; 




C 

1 


> 2 

s 1 






C 


z 

3 



1 U 

z 

a: 

CQ 

:2 


- — 

.1 






e 

c 

1 


z 

D 


u 


1 
H. 

.So 




8 




1 

3 









1 




.1 


oc 


1 

t 


1 


|s 


OC 


c 


OC 


C 
4. 


° 1 


.0 


OC 






:?^'S 


OC 


c 


s= 


OC 


1 






s- 


r' 


1 












s a^ 0-. i. 


" 3 ON OS i 




3 0^ OS a. 


!^ 2: 2: &: 

r-J 














0^ 


|2 2a 


CO 


a 


Sl--^ 


so 

00 





crt 


r-4 






3. 














^o 








— 






sd 










— ' 










fsT 








vO 








I 



151 



Table 13. — Crime Rates, Offenses Known to the Police, Population Group, 1983 

[1983 estimated population. Rate: Number of crimes per 100,000 inhabitants] 



Population group 



Crime 
Index 
lotal 



Modified' 
Crime 
Index 
total 



Property 
crime' 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
as&ault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



TOTAL ALL AGENOES: 

12,117 agencies; 
papulation 213,861,000: 
Number of offenses known 
Rate 

TOTAL CnTES: 8,293 cities; 
population 146,727,000: 
Number of offenses known 
Rate 

Group I 

59 cities, 250,000 and oven 
population 43,147,000: 
Number of offenses known 
Rate 

6 cities, 1,000,000 and over; 
population 17,878,000: 
Number of offenses known 
Rate 

18 cities, 500,000 to 999,999; 
population 12,534,000: 
Number of offenses known 
Rate 

35 cities, 250,000 to 499,999; 
population 12,735,000: 
Number of offenses known 
Rate 

Group II 

120 cities, 100,000 to 249,999; 
population 17,607,000: 
Number of offenses known 
Rate 

Group III 

285 cities, 50,000 to 99,999; 
population 19,437,000; 
Number of offenses known 
Rate 



11,432,403 

5,345.7 



9,399,300 
6,406.0 



3,727,656 
8,639.4 



1,565,153 
8,754.6 



1,045,276 
8,339.6 



1,117,227 
8,772.8 



1,354,678 
7,693.9 



1,166,129 
5,999.4 



1,187,202 
555.1 



10^45,201 
4,790.6 



18,426 
8.6 



75,143 
35.1 



489,227 
228.8 



604,406 
282.6 



2,957,384 
1,382.9 



6,339,262 
2,964J 



948,555 
443.5 



999,819 
681.4 



8,399,481 

5,724.5 



14,450 
9.8 



59,559 
40.6 



448,568 
305.7 



477,242 
325.3 



2,317,857 
1,579.7 



5,264,026 
3,587.6 



817,598 
557.2 



558,327 
1,294.0 



284,283 
1,590.1 



128,863 
1,028.1 



145,181 
1,140.0 



129,642 
736.3 



99,350 
511.1 



3,169.329 
7,345.4 



1,280,870 
7,164.5 



916,413 
7,311.5 



972,046 
7.632.8 



1.225.036 
6,957.6 



1,066,779 
5,488.3 



8,707 
20.2 



4,623 
25.9 



2,074 
16.5 



2,010 
15.8 



1,772 
101 



1,221 
6.3 



30.479 
70.6 



11,917 
667 



8.658 
69.1 



9,904 

77.8 



8,694 
49.4 



6,884 
35.4 



307,761 
713.3 



174,693 
977.1 



68,072 
543.1 



64,996 
510.4 



51,852 
294.5 



35,768 
184.0 



211,380 
489.9 



93,050 
520.5 



50,059 
399.4 



68,271 
536.1 



67,324 
382.4 



55,477 
285.4 



945.112 
2,190.4 



380,804 
2,130.0 



262,214 
2.092.1 



302,094 
2,372.1 



350,292 
1,989.5 



295,174 
1,518.6 



1,774,358 
4,112.4 



639,168 
3,575.2 



552,661 
4,409.4 



582,529 
4,574.2 



781,220 
4,436.9 



680.528 
3,501.1 



449,859 
1,042.6 



260,898 
1,459.3 



101,538 
810.1 



87,423 
686.5 



93,524 
531.2 



91,077 
468.6 



152 



Table 13. — Crime Rates, Offenses Known to the Police, Population Group, 1983 — Continued 



Population group 



Crime 
Index 
total 



Modified' 
Cnme 
Index 
total 



Violent 
crime^ 



Property 
cnme^ 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



Group IV 

623 cities, 25,000 to 49,999; 
population 21,426.000: 
Nuitiber of offenses knowti . 
Rate 



Group V 

r,532 cities, 10,000 to 24,999; 
population 24,041,000: 
Number of offenses known . 
Rate 



Group VI 

5,674 cities under 10,000; 
population 21,069,000: 
Number of offenses known 
Rate 



Suburban Counties 

1,187 agencies; population 
39,964,000: 
Number of offenses known . . 
Rate 



Rural Counties'* 

2,637 agencies; population 
27,169,000: 
Number of offenses known . 
Rate 



Suburban Area 

5,762 agencies; population 
83,813,000: 
Number of offenses known . 
Rate 



1,185,830 
5,534.4 



1,084,311 
4,510.3 



880,696 
4,180.1 



1,492,484 
3,734.5 



540,619 
1,989.8 



3,506,326 
4,183.5 



86,408 
403.3 



71,406 
297.0 



54,686 
259.6 



142,559 
356.7 



44,824 
165.0 



276,998 
330.5 



1,099,422 
5,131.1 



1,012,905 
4,213.3 



826,010 
3,920.6 



1,349,925 
3,377.8 



495,795 
1,824.8 



3,229,328 
3,853.0 



1,053 
4.9 



944 
3.9 



753 
3.6 



2,404 
6.0 



1,572 
5.8 



3,951 

4.7 



5,668 
26.5 



4,414 
18.4 



3,420 
16.2 



11,431 
28.6 



4,153 
15.3 



19,859 

23.7 



27,087 
126.4 



17,213 
71.6 



8,887 
42.2 



36,069 
90.3 



4,590 
16.9 



74,683 
89.1 



52,600 
245.5 



48,835 
203.1 



41.626 
197.6 



92,655 
231.8 



34,509 
127.0 



178,505 
213.0 



284,284 
1,326.8 



250,849 
1,043.4 



192,146 
912.0 



451,057 
1,128.6 



188,470 
693.7 



918,511 
1,095.9 



737,069 
3,440.0 



699,332 
2,908.9 



591,519 
2,807.6 



796,047 
1,991.9 



279,189 
1,027.6 



2,071,272 
2,471.3 



78,069 
364.4 



62,724 
260.9 



42,345 
201.0 



102,821 
257.3 



28,136 
103.6 



239,545 
285.8 



'Arson rates are not presented in this table because fewer agencies furnished complete reports for arson than for other seven Crime Index offenses. Independently tabulated 
arson rates appear on page 37 of this publication. 

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

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

^Includes state police agencies with no county breakdown. 

^Includes suburban city and county law enforcement agencies within metropolitan areas. Excludes core cities. Suburban cities and counties are also included in other groups. 
Population figures were rounded to the nearest thousand. All rates were calculated on the population before rounding. 



153 



Table 14. — Crime Rates, Offenses Known to the Police, Suburban and Nonsuburban Cities', Population Group, 1983 

[1983 estimated population. Rate: Number of crimes per 100,000 inhabitants] 



Population group 



Suburban Cities 

TOTAL SUBURBAN CITIES: 

4,575 cities: papulation 
43,848,000: 

Number of offenses known . 
Rate 



Group IV 

437 cities, 25,000 to 49,999; 
population 14,896,000: 
Number of offenses known 
Rate 



Group V 

1,069 cities. 10,000 to 24,999; 
population 16,952,000: 
Number of offenses known 
Rate 



Group VI 

3,069 cities under 10,000; 
population 12,000,000: 
Number of offenses known 
Rate 



Nonsuburban Cities 

TOTAL NONSUBURBAN 
CITIES: 3,254 cities; 
population 22,688,000: 

Number of offenses known . 

Rate 



Group IV 

186 cities, 25,000 to 49,999; 
population 6,531,000: 
Number of offenses known 
Rate 



Group V 

463 cities, 10,000 to 24,999; 
population 7,088,000: 
Number of offenses known. 
Rate 



Group VI 

2,605 cities under 10,000; 
population 9,069,000: 
Number of offenses known . 
Rate 



Cnme 
Index 
total 



2,013,842 
4,592.8 



758,628 
5,092.9 



719,847 
4,246.3 



535,367 
4,461.4 



Modified' 
Cnme 
Index 
total 



1,136,995 
5,011.5 



427,202 
6,541.5 



364,464 
5,141.7 



345.329 
3,807.9 



Violent' 
crime 



134,439 
306.6 



57,852 
388.4 



46,306 

273.2 



30,281 
252.3 



Property* 
crime 



1,879,403 
4,286.2 



700,776 
4,704.5 



673,541 
3,973.1 



505,086 
4,209.1 



Murder 
and non- 
negligent 

man- 
slaughter 



1,547 
3.5 



78,061 1,058,934 
344.1 4,667.4 



28,556 
437.3 



25,100 
354.1 



24,405 
269.1 



398,646 
6,104.3 



339,364 
4,787.6 



320.924 
3,538.8 



624 

4.2 



554 
3.3 



369 
3.1 



Forcible 
rape 



8,428 
19.2 



3,582 
24.0 



2,889 
17.0 



1,957 
16.3 



Robbery 



38,614 
88.1 



19,387 
130.2 



12,989 
76.6 



6,238 
52.0 



1,203 
5.3 



429 
6.6 



390 

5.5 



384 
4.2 



5,074 
22.4 



2,086 
31.9 



1,525 
21.5 



1,463 
16.1 



Aggra- 
vated 
assault 



85,850 
195.8 



34,259 
230.0 



29,874 
176.2 



21,717 
181.0 



Burglary 



467,454 
1,066.1 



182,430 
1,224.7 



170,600 
1,006.3 



1 14,424 
953,5 



14,573 
64.2 



7,700 
1179 



4,224 
59.6 



2,649 
29.2 



57,211 
252.2 



18,341 
2808 



18,961 
267.5 



19,909 
219.5 



Larceny- 
theft 



1,275,225 
2,908.3 



458,457 
3,077.7 



454,581 
2,681.5 



362,187 
3,018.2 



Motor 
vehicle 
theft 



136,724 
311.8 



259,825 
1,145.2 



101,854 
1,559.6 



80,249 
1,132.1 



77,722 
857.0 



752,695 
3,317.6 



278,612 
4,266.3 



244,751 
3,452.8 



229,332 
2,528.8 



59,889 
402.1 



48,360 
285.3 



28,475 
237.3 



46,414 
204.6 



18,180 
278.4 



14,364 
202.6 



13,870 
152.9 



'Suburban places are within Metropolitan Statistical Areas (MSAs) and include suburban city and county law enforcement agencies within the metropoUtan area. Core cities are 
excluded. Nonsuburban places are outside MSAs. 

'Arson rates are not presented in this table because fewer agencies furnished complete reports for arson than for the other seven Cnme Index offenses. Independently tabulated 
arson rates appear on page 37 of this publication. 

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

'Property crimes are offenses of burglary, larceny-theft, and motor vehicle theft Data are not included for the property cnme of arson. 
Population figures were rounded to the nearest thousand. All rales were calculated on the population before rounding. 



154 



Table 15. — Crime Rates, Offenses Known to the Police, Suburban and Nonsuburban Counties, Population Group, 1983 

[1983 estimated population. Rate: Number of crimes per 100,000 inhabitants] 



Population group 


Crime 
Index 
total 


Modified' 
Crime 
Index 
total 


Violent' 
cnme 


Property' 
crime 


Murder 
and non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


Arson' 


Suburban Counties* 


























100,000 and over 


























94 counties; population 
21.623,000: 
Number of offenses known 


983,342 
4,547.6 




96,907 
448.2 


886,435 
4,099.5 


1.491 
6.9 


7,162 
33.1 


28.565 
132.1 


59,689 
276.0 


289,113 
1,337.1 


527,263 
2.438.4 


70,059 
324.0 




Rate 




25,000 to 99,999 


























307 counties; population 
15,445,000; 
Number of offenses known 
Rate 


374,323 
2,423.6 




31,822 
206.0 


342,501 
2,217.6 


690 
4.5 


2,980 
19.3 


4,596 
29.8 


23,556 
152.5 


122,544 
793.4 


199,796 
1,293.6 


20,161 
130.5 




Under 25,000 


























786 counties; population 
2,896,000; 
Number of offenses known 


134,819 
4,654.9 




13,830 
477.5 


120,989 
4,177.4 


223 

7.7 


1,289 
44.5 


2,908 
100.4 


9,410 
324.9 


39,400 
1,360.4 


68,988 
2,381.9 


12,601 
435.1 




Rate 




Nonsuburban Counties* 


























25,000 and over 


























!90 counties; population 
11,085,000; 
Number of offenses known 


214,981 
1,939.5 




17,888 
161.4 


197,093 
1,778.1 


527 
4.8 


1,646 
14.8 


2,058 
18.6 


13.657 
123.2 


73,413 
662.3 


113,664 
1,025.4 


10,016 
90.4 




Rate 




10.000 to 24,999 




713 counties; population 
11,137.000: 
Number of offenses known 


174,685 
1,568.5 




13,522 
121.4 


161,163 
1,447.1 


525 
4.7 


1,107 
9.9 


1,274 
11.4 


10,616 
95.3 


62,115 

557.7 


90,559 
813.1 


8,489 
76.2 




Rate 




Under 10.000 




1,630 counties; population 
4.613,000: 
Number of offenses known 


130,816 
2,836.1 




11,558 
250.6 


119,258 
2,585.5 


466 
10.1 


1,143 
24.8 


1,094 
23.7 


8,855 
192.0 


45,508 
986.6 


65,594 
1,422.1 


8,156 
176.8 




Rate 








'Arson rates are not presented in thi 
arson rates appear on page 37 of this pu 
^Violent crimes are offenses of murde 
^Property crimes are offenses of burg 
'Offenses include sheriffs' and county 
Population figures were rounded to the near 


s table because fewer agencies furnished complete reports fc 
blication. 

r, forcible rape, robbery, and aggravated assault. 
lary, larceny-theft, and motor vehicle theft. Data are not in 
law enforcement agencies. State police offenses are not inc 
est thousand. All rates were calculated on the population before 


r arson tha 

eluded for 
luded. 
rounding. 


n for the ot 
he property 


her seven C 
crime of a 


rime Index 
rson. 


offenses. Independently tabulated 


























155 






s-s 



E 3 

< 



is 



£5 

oo" S 












r- o 












ESSE 



§g 



o 









o 

1 ^ 

m ^ 

6 



= I 
!C - 
O - 



Ss 

« 






«5 



§J 






0^ O 



sj 






as — 



OO <^ 



— OO 




ON O 


-? 


sis 


5 "^ 


s- 


OO ^ 





r-1 «-> 



Sri 









^J 



OO ^- 



f^ On 



OO ^ 



r- o 



S.|. 
2 E 












-.8 






OO r— 



OO O 



S = 



— o 



!S.S 



0- ■= 
E 

I I 



H =. 



c 

z 

u 
o 

.J 
-1 






S .2 ^ 



E £ 



□ 

i-I 
< 

o 



5 e 

in 3 



O ( 

D 
O 
a: 



3 •"" lii 



O TT O 



II 



OO O 



2 f' 






r^ .'^ £ ■ ^- .2 ^ ■- ~ ^ - 

^•SES 5Eji^-aEj!i«-S 
■= g.Z o: S D.Z oi S a.Z oi .5 a 



SJ 



o 
O 



E 

3 CO 

z o: 



-.11 

8 rt e 



>— ' O ^J" ^ 



'^ 2 J ^ 

SB a E a 

z: "a 3 M 

■5 D.Z oi 



156 



-- S S..E 





























1 




w 


























.c 


























6 
























_ 


ii 


























£ 


























o 
























" 


z 
























u 




















































3 




















































o 


























E 




















































« 






























§5 


r- r- 


rO -* 




■-r OS 




OS r^ 






OS so 




sJS 




^,^ 


s.s 




-.^ 




"Si 






2' 




^:2 
o-s 




O 


OS 


1^ 




00 




«o 






so 
en 




> 


















































■s 






























r- ■* 


fN — 


O i-O 




^ ro 




O' Wi 






ro 1— 


i 


■i^ S 




^.^ 


|5 


9 w-i 








*s 






S.5 


1 




2 




r- 




0* 




^ 






OS 


5 S| 










r-1 










r*! 




























o 
o 






























O oo 


"^ ■* 


\0 irt 




>r\ so 




so m 






tn m 


s 


2 






1 = 






"S5 




s.s 






-.5 








m ^- 


I-- — 




r*^ — 




-* 






*2 '^ 




3 






** 


<N 




VO 










so 




< 


























3„ 

D.J5 t 




^ r- 


fM ■* 


OS >c 




00 SO 




rri m 






OS '* 






a.g 


Si 


OO 




£-- 




00 













r-i 


r^i 






f*i 










00 




£ O »> 




















































<'" 




























(N OS 


oo — 


oo oo 




r- r-^ 




t t"- 






r-. OS 


1 






3"* 


<n 






OS 










P 


3 


c u 
























ffl 


3 




























^ OS 


<*i r^ 


r- O 




ra 




r*^ 00 






■^ ■<*■ 




1^ 






^s. 


s.s 




-.S 




OS 






— w-i 










r^. m 




— 00 




— w-> 










Is 




OS 


^ 


rst 








■rr 






s 




£ " 






























r-J ^ 




— VO 




r-i — 




C? ''o 






r-i -^ 




,«- a 




ss 




2.8 




•^ so 




5.JS 










■g a" " 




oo 


OS 


<N 




SO 




2 






s 




5 = 1" 




























fM OO 


^ f^ 


OO OS 




m m 




■«J- 00 






a "^ 


- 


-1 
6 1 




Ss 


£-^ 






Sp 




ss 






??; 


*3 




^ 




r- 




00 




<c 






? 


? 


























-J 










in o 




■* P 




c 'tf 






:: 'f 


1 


e 


° = i - 
u S c = 




§K 


|5 


1— 














1^ 


1 


lil^ 
























= 




in OO 


Q W-1 

oR 


P 




0^ OS 




— 00 






\n OS 




s 




oo 


f^ 











r- 




































£ 


























C £ 

£ 1 




'9?, 


o o 

•—1 • 






















:£ 




r--l 




m 




^ 






a 






























w5 « 




























O OS 


cN r- 


Q — 




r^ OS 




OS 00 






so — 




e 




So 


i^.'^ 


3 ^ 




;c ^ 












■c £• 




nJ 








(N 










wT 


1 


Si 






























O wi 


fTi W-1 




3 




r- '* 








0^ 


lit^ 






)C "^ 




8 




Sr4 






go 

00* 






























C 3 c E 


















































^ U- 




























lO ^O 


OO ty~> 


OO "* 




'^ 




r-i "-) 






<N 




1 




S.3 


2 '^ 


s- 




s§ 




^.'^ 






<^. ^ 






OS ^ 


SO 


rn 




m 




*™ 





































£ 






























m -O 


O SO 


OS OS 




w^ w-i 




W-. r- 






— r- 


1 


3ki 




s* 


S-^ 


o'' 








P '"^ 








3 


<23 




























^ O^ 


(N OO 


^O Tf 




00 r^ 




oi r- 






;3; ^ 


s 






S2 


^. - 






s.s 




^_- 






32 


£ 




•^" 


r^ 


rM* 




CO 




rn 






«n 






























tS'" 






























_ 


c 


c 




J. 




C 






c 










1 


I.J 


1 


^ 

P 


§ "^ 


ss 


c 1 
.* 


« 


c 



1 

.5 






CI. 

3 

a 

M 

C 

2 

3 

§• 

a. 


> 5" 

^ o 

o 8 
OS i^" 


r^ O 

n S i 


"OS 

a. o Tj- c 
D g 0-, O 

^ s-15 
■= s e i 


-5 n e i 


Z 

z 
< 

CO 

a: 

IS 

D 


1 

1 « 


8 

< 

OS 


1 i 

So rs = " 


< 

Z 
< 



b: 
cs 


3 S 

1 1 

Q. ° 








3 




— ' 






— " 




rsT 




■^ 







s o. 

JO s 

2 S 



5s 



IS 

5 iB 2 
■OS 



8 2-8 

III 
||^ 
•B a 

1*1 C 

u •- 
^ '5 — 

^ 5< 

^ "^ 
ill 

m e == 
o •£ 

^I 

"i c - 

'1 



2* s 



■si o 
■08" 

g-g-3 
8 ' § 

o S: 
e c ^ 

». n * 



8 3 3 



157 



Table 17. — Offense Analysis, 1983, and Percent Change from 1982 

[12,985 agencies; 1983 estimated population 214,255,000] 



Murder 

Forcible Rape 

Robbery 
TOTAL 

Street/Highway 

Commercial house 

Gas or service station 

Convenience store 

Residence ■— 

Bank 

Miscellaneous - 

Burglary 
TOTAL 

Residence (dwelling): 

Night 

Day 

Unknown 

Nonresidence (store, ofiice, etc.): 

Night ■ 

Day 

Unknown 

Larceny-Theft (Except Motor Vehicle Theft) 
TOTAL 

By type: 

Pocket-picking 

Purse-snatching 

Shoplifting 

From motor vehicles (except accessories) 

Motor vehicle accessories 

Bicycles 

From buildings 

From coin-operated machines 

All others 

By value: 

Over $2(X) 

$50 to $200 

Under $50 

Motor Vehicle Theft 



Table 18. — Type and Value of Property Stolen and Recovered, 1983 

[12,985 agencies; 1983 estimated population 214,255,000] 



Type of properly 



Number of 

offenses 

1983 



17,291 
71,252 



454,397 



246,234 
50,590 
14,171 
26,444 
51,626 
6,012 
59,320 



2,859,583 



1,896,632 
648,513 
738,700 
509,419 
962,951 
517,868 
160,799 
284,284 



6,185,011 



75.599 

85,207 

792,939 

1,156,050 

1,185,511 

522,270 

982,857 

54,075 

1,330,503 

2,023,663 

1,848,934 

2,312,414 

897,283 



Percent 

change over 

1982 



TOTAL' 

Currency, notes, etc 

Jewelry and precious metals.-.. 

Clothing and furs 

Locally stolen motor vehicles .. 

Office equipment 

Televisions, radios, stereos, etc. 

Firearms 

Household goods 

Consumable goods 

Livestock 

Miscellaneous 



-9.2 
+ .1 

-8.5 



-6.4 
-13,0 
-19.3 
-142 

-6.5 
-.8 

-9.5 



-9.0 



-8.0 

-7.3 
-102 

-5 

-10.9 
-12.4 
-10.0 

-8.2 



-5.9 



-5.0 
-8.1 
-1,1 
-AJ 
-9.8 
-10.0 
-5.0 
-8.6 
-5.1 



-3.0 



-6.1 
-7.0 



Percent 
distribu- 
tion 



100.0 



54.2 

11.1 
3,1 
5.8 

11.4 
1.3 

13.1 



100.0 



66.3 

22.7 
25.8 
17.8 
33.7 
18.1 
5.6 
9,9 



100.0 



1,2 

1,4 

12.8 

18.7 

19.2 

8.4 

15.9 

.9 

21.5 

32.7 
29.9 

37, 



Value of property 



$ 8,435,552,000 



588,586,000 

,018,333,000 

222,551,000 

,558,691,000 

120,042,000 

731,561,000 

98,788,000 

197,834,000 

75,502,000 

22,051,000 

,801,614,000 



$ 2,341,302,000 



44,176,000 
63,174,000 
32,355,000 

,879,350,000 
11,826,000 
47,333,000 
11,936,000 
14,773,000 
11,946.000 
4,206,000 

220,227,000 



Average 
value 



$ 87 
38 



645 



397 
1,380 
364 
463 
956 
4,057 
579 



860 



893 
770 
960 
951 
794 
736 
722 
941 



348 



218 
178 
72 
381 
238 
152 
510 
133 
564 

942 

110 

17 

3,934 



Percent 
recovered 



27.8 



7.5 
6.2 
14.5 
52.8 
9.9 
6.5 
12.1 
7.5 
15.8 
19.1 
12.2 



'All totals and percentages calculated before rounding. 



158 



SECTION III 
CRIME INDEX OFFENSES CLEARED 



Law enforcement agencies clear crimes by arrest, or in 
some circumstances, by exceptional means. An offense is 
cleared by arrest when at least one person is arrested, 
charged with the commission of the offense, and turned over 
to the court for prosecution. It should be noted that several 
crimes may be cleared by the arrest of one person, while the 
arrest of many persons may clear only one offense. 
Clearances by exceptional means are recorded in instances 
when some element beyond police control precludes the 
placing of formal charges against the offender. Examples of 
circumstances allowing exceptional clearances are the death 
of the offender (suicide, justifiably killed by police or private 
citizen, etc.); the victim's refusal to prosecute 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 nationwide reported that 21 
percent of the total Crime Index offenses were cleared 
during 1983. The overall violent crime clearance rate was 46 
percent. For murder offenses, the rate was 76 percent; 
forcible rape, 52 percent; robbery, 26 percent; and 
aggravated assault, 61 percent. Of all property crimes 
reported, law enforcement agencies cleared 18 percent. 
Among the individual categories, the larceny-theft clearance 
rate was 19 percent, while for both burglary and motor 
vehicle theft, it was 15 percent. Clearances for crimes 
against persons are generally higher as more intense 
investigative efforts are often afforded these offenses and 
witnesses are more frequently available to identify the 
perpetrators. 



For arson, the eighth Index crime, the clearance rate was 
17 percent. When arson was considered in the Modified 
Crime Index total, the overall clearance rate remained the 
same, 21 percent. 

Regionally, the highest overall Crime Index clearance 
rate was recorded by the Southern States with 23 percent. 
Following were the Western States with 21 percent and the 
Northeastern and the North Central States with 19 percent 
each. 

Considering population groupings, the clearance rates 
ranged from 15 percent in cities with populations of 1 
milhon or more to 23 percent in cities with under 25,000 
inhabitants. Rural counties showed clearances for 22 
percent of the Index crimes reported, while in suburban 
counties 21 percent were cleared. 

Clearances Involving Only Persons under 18 Years of 

Age 

One means of measuring the involvement of juveniles in 
crime is to identify the number of crimes in which they are 
offenders. Although no physical arrest may be made, a 
clearance by arrest can be recorded when the offender is a 
person under 18 years of age and is cited to appear in 
juvenile court or before other juvenile authorities. During 
1983, 20 percent of the Crime Index offenses cleared 
involved only persons under the age of 18. Persons in this 
same age group accounted for 9 percent of the violent crime 
clearances and 23 percent of those for property crimes. 

The percentage of juvenile involvement was lowest for 
murder (5 percent) and highest for arson (34 percent). 
Persons in the under 18 age category accounted for 27 
percent of the 1983 U. S. population. 



159 



9^i v-^""^' 



^ w«A \^ v^ ,!^ 









CRIMES CLEARED BY ARREST 

1983 

CRIMES OF VIOLENCE 

NOT CLEARED CLEARED 





1 














^\ 


MURDER 76% 






1 


AGGRAVATED «„/ 
ASSAULT °1 /» 






«s=». 1 


FORCIBLE K90/ 
RAPE 52 /o 






ROBBERY 1 


26% 












1 







CRIMES AGAINST PROPERTY 

NOT CLEARED CLEARED 



^»»»»»^^^^^^^^^w**»^^^^^^™"™^^^ 



BURGLARY I 15% 



ftt*»' UI , - . . K 'fttfttttt** ' 



LARCENY-THEFT 



fc»M>»w«»«.«>**«llli n »w>«^*****lll«< 



19% 



MOTOR VEHICLE THEFT ■ 15% 



160 



Table 19. — Offenses Known, Percent Qeared by Arrest\ Population Group, 1983 

[1983 estimated population] 



Population group 


Crime 
Index 
total 


Modified' 
Crime 
Index 
total 


Violent' 
cnme 


Property* 
crime 


Murder 
and non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
thefl 


Motor 
vehicle 
theft 


Arson' 


TOTAL ALL AGENCIES: 
13,179 agencies; total 
population 217,776,000: 


11,403,141 
20.6 


11,503,945 
20.6 


1,166,888 
4«.5 


10,236,253 

17.7 


17,873 
75.9 


74,055 
52.1 


470,749 
26.0 


604,211 
60.9 


2,956,621 
14.8 


6,349,539 
19.5 


930,093 
14.7 


100,804 


Percent cleared by arrest 


17.3 






TOTAL CITIES: 9,111 ciHes; 
total population 147,643,000: 


9,309,313 
20.5 


9,387,694 
20.5 


975,240 
44.5 


8,334,073 

17.7 


13,823 

75.5 


58,255 
50.5 


428,215 

25.5 


474,947 
60.0 


2,304,311 
14.2 


5,238,993 
19.9 


790,769 
13.3 


78,381 


Percent cleared by arrest 


16.1 


Group I 


























58 cities, 250,000 and over; 
total population 40,126,000: 


3.486.053 
18.1 

1,323.550 
15.5 

1.045.276 
18.6 

1.117.227 
20.7 


3,523,247 
18.0 

1,341,860 
15.4 

1,053,456 
18.6 

1,127.931 
20.7 


518,551 
38.9 

244,507 
33.9 

128,863 
41.4 

145,181 
45.1 


2,967,502 
14.5 

1,079,043 
11.3 

916,413 
15.4 

972.046 
17.1 


7,978 
73.2 

3,894 
69.7 

2,074 
77.3 

2,010 
75.8 


28,233 
48.7 

9,671 

47.5 

^8,658 
48.5 

9.904 
49.9 


284.290 
23.6 

151,222 
21.5 

68,072 
25.1 

64,996 
26.8 


198.050 

58.2 

79,720 
54.1 

50.059 
60.9 

68.271 
61.0 


896.157 
12.3 

331,849 
104 

262,214 
13.0 

302,094 
13.6 


1,660.537 
16.9 

525,347 
13.8 

552.661 

17.2 

582.529 
19.5 


410.808 
9.4 

221.847 
6.9 

101.538 
11.6 

87.423 
13.0 


37,194 


Percent cleared by arrest 

5 cities, 1,000,000 and over; 
total population 14,857.000: 

Offenses known 

Percent cleared by arrest 

18 cities. 500,000 to 999,999; 
total population 12,534,000: 

Offenses known 

Percent cleared by arrest 

35 cities, 250,000 to 499,999; 
total population 12,735,000: 


12.4 

18.310 
7.1 

8.180 
18.8 

10.704 


Percent cleared by arrest 


16.6 


Group II 


























120 cities, 100,000 to 249,999; 
total population 17,607,000: 

Offenses known 

Percent cleared by arrest 


1.354,678 
21.0 


1,365,572 
21.0 


129,642 
48.4 


1.225.036 
18.1 


1,772 
79.0 


8,694 
53.1 


51,852 
29.9 


67.324 
61.2 


350,292 
14.4 


781.220 
20.2 


93.524 
14.3 


10.894 
18.0 


Group III 


























298 cities, 50,000 to 99,999; 
total population 20,368,000: 
Offenses known 


1.226.356 
21.3 


1,235,788 
21.2 


107,691 
46.1 


1.118.665 
18.9 


1,254 
77.7 


7,346 
48.6 


37,175 
27.2 


61.916 
56.6 


309,625 
15.0 


712.007 
21.2 


97.033 
14.0 


9,432 


Percent cleared by arrest 


15.3 



161 



Table 19. — Offenses Known, Percent Qeared by Arrest', Population Group, 1983 — Continued 



Population group 



Group IV 

633 cities. 25,000 to 49,999; 
total population 21,766,000: 

Offenses known 

Percent cleared by arrest. 



Group V 

1,585 cities, 10,000 to 24,999; 
total population 24,864,000: 

Offenses known 

Percent cleared by arrest.. 



Group VI 

6,417 cities under 10,000; total 
population 22,912,000: 

Offenses known 

Percent cleared by arrest . 



Suburban Counties 

1,236 agencies; total 
population 41,723,000: 

Offenses known 

Percent cleared by arrest... 



Rural Counties 

2,832 agencies; total 
population 28.410,000: 
Offenses known 
Percent cleared by arrest 



Suburban Area' 

6,159 agencies; total 
population 87,323,000: 

Offenses known 

Percent cleared by arrest 



Crime 
Index 
total 



1,199,870 
22.1 



1,120,431 
23.4 



921,925 
22.6 



1,540,978 
20. 



552,850 
22.1 



3,616,333 
21.1 



Modified' 
Crime 
Index 
total 



1,207,617 
22.1 



1,127,542 
23.4 



927,928 
22.6 



1,557,216 
20.8 



559,035 
22.1 



3.645.700 
21,1 



Violent' 
crime 



87,355 
49.4 



74,424 
54.2 



57,577 
63.0 



145,516 
53.2 



46,132 
66.9 



284,619 
52.3 



Property 
crime 



Murder 
and non- 
negligent 

man- 
slaughter 



1,112,515 
20.0 



1,046,007 
21.2 



864,348 
19.9 



1.395,462 
17.4 



506,718 
18.0 



3,331,714 
18.4 



1,054 
76.7 



977 
79.9 



788 
80.3 



2,429 
73.8 



1,621 
82.5 



4,008 
73.6 



Forcible 
rape 



5,738 
49.6 



4,534 
53.6 



3,610 
50.2 



11,453 
56.3 



4,347 
62.5 



20.206 
54.1 



Robbery 



27,429 
28.3 



18,168 
30.7 



9,301 
32.4 



37,702 
29.5 



4,832 
43.7 



77,739 
28.7 



Aggra- 
vated 
assault 



53,134 
59.7 



50,645 
62.1 



43,878 
69.4 



93,932 
61.9 



35,332 
69,9 



182,666 
61.7 



Burglary 



287,482 
15.3 



258,900 
16.4 



201,855 
17.3 



459,101 
16.7 



193,209 
17.6 



940.707 
15.9 



Larceny- 
theft 



745,567 
22.2 



721,447 
22.9 



618,115 
20.0 



826,127 
17.5 



284,419 
16.7 



2,139,045 
19.6 



Motor 

vehicle 

theft 



79,365 
15.9 



55,660 
21.0 



44,378 
29.6 



110,234 
20.0 



29,090 
34.1 



251,962 
18.4 



7,747 
19.2 



7,111 
23.1 



6,003 

24.3 



16,238 
21.0 



6,185 
22.2 



30,367 
20.8 



'Includes offenses cleared by exceptional means. , , „ , j «■ ,. .t i. r :„ 

^The number of agency reports used in arson clearance rates is less than used in compiling clearance rates for other Cnme Index offenses. However, the number ot agencies 
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 report clearances by property classification to 
be included in this table. The Modified Crime Index total is the sum of the Cnme Index offenses, including arson. 

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

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

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



162 



Table 20. — Offenses Known and Percent Cleared by Arrest\ Geographic Division, 1983 

[1983 estimated population] 



Geographic division 


Crime 
Index 

total 


Modified' 
Crime 
Indes 
total 


Violent' 
crime 


Property' 
crime 


Murder 
and non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


I.arceny- 
Iheft 


Motor 
vehicle 
theft 


Arson' 


TOTAL ALL DIVISIONS 


























13,179 agencies; population 
217,776,000: 


11,403,141 
20.6 


11,503,945 
20.6 


1,166,888 
46.5 


10,236,253 

17.7 


17,873 
75.9 


74,055 
52.1 


470,749 
26.0 


604^11 
60.9 


2,956,621 
14.8 


6,349,539 
19.5 


930,093 
14.7 


100,804 
17 3 


Percent cleared by arrest 






New England States 


























673 agencies; population 
11,201,000: 
Offenses known 


550,367 
187 


556,093 
18.6 


49,688 
45.2 


500,679 
16.0 


395 
78.0 


2,632 
57.8 


19,486 
25.9 


27,175 
57.4 


140,288 
15.5 


289,148 
17.9 


71,243 
9.4 


5,726 




145 


Middle Atlantic States 


























2,423 agencies; population 
36,760,000: 
Offenses known 


1,783,029 
19.0 


1,801,349 
19.0 


242,639 
41.0 


1,540,390 
15.5 


2,923 
77.1 


9,962 
54.4 


134,950 
25.2 


94,804 
61.0 


434,032 
13.9 


905,087 
17.9 


201.271 
8.4 


18,320 




15.1 


East North Central States 


























2,113 agencies; population 
34.709.000: 


1,718,745 
18.0 


1,736,304 
17.9 


146,793 
39.4 


1,571,952 
160 


2,183 
67.5 


11.490 
44.6 


56,727 
21,2 


76,393 
51.2 


430,406 
12.4 


997,710 
18.2 


143,836 
12.0 


17.559 


Percent cleared by arrest 


10.9 


West North Central States 




1,231 agencies; population 
16,267,000: 


691,268 
21.4 


696,035 
21.4 


48.278 
52.3 


642,990 
19,0 


716 
79.9 


3.678 
546 


15,670 
30.2 


28,214 
63.6 


172,433 
15.3 


433.592 
20.2 


36.965 
23.0 


4.767 


Percent cleared by arrest 


21.3 


South Atlantic States 


























2,575 agencies; population 
37,755,000: 
Offenses known 


1,945,293 
23,7 


1,959,266 
23.7 


225.898 
53.9 


1,719,395 
198 


3,514 
79.2 


13,175 
59,0 


74.646 
28,1 


134,563 
67.1 


505,068 
18.2 


1.104.180 
20.2 


110,147 
22.8 


13,973 


Percent cleared by arrest 


24.2 


East South Central States 


























963 agencies; population 
11,600,000: 


495,179 
19.7 


499,403 
19.7 


48.348 
48.4 


446,831 
165 


1.150 
82.7 


3,553 
53.9 


15,886 
24.6 


27,759 
60.0 


138,699 
143 


276.603 
17.3 


31,529 
19.7 


4,224 


Percent cleared by arrest 


18.6 


West South Central States 


























1.353 agencies; population 
25.001,000: 

Offenses known 

Percent cleared by arrest 


1,372,511 
22.1 


1,382,953 
22,1 


127,013 
52,6 


1,245,498 
19.0 


3,212 
79.3 


9,776 
58.2 


43,682 
31.5 


70.343 
63.8 


385,615 
16.5 


745.869 
20.4 


114,014 
18.4 


10,442 
24.1 


Mountain States 


























751 agencies; population 
11,719,000: 


694.452 
23.5 


699,092 
23,5 


51,513 
542 


642,939 
21,0 


741 
78.0 


4,281 
47.7 


13,572 
33.7 


32.919 
63,0 


166,595 
13.7 


438.756 
23.6 


37,588 
23.0 


4.640 


Percent cleared by arrest 


22.7 


Pacific States 


























1,097 agencies; population 
32,765,000: 

Offenses known 

Percent cleared by arrest 


2,152,297 
20.0 


2,173,450 
19,9 


226.718 
42.9 


1,925,579 
17.3 


3,039 
69.0 


15.508 
45,7 


96,130 
24.2 


112.041 
57.9 


583,485 
13.5 


1,158,594 
19.6 


183,500 
14.6 


21.153 
148 



'Includes offenses cleared by exceptional means. 

^The number of agency reports used in arson clearance rates is less than used in compiling clearance rates for other Crime Index offenses. However, the number of agencies 
used m 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 report clearances by property classification to 
be included m this table. The Modified Crime Index total is the sum of the Crime Index offenses, including arson, 

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

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



163 



Sc 



Is 



f^ r- 

5S = 



o i 



0^ -* 









Is- 



Is 






O OO 



3° 



S2 



5.2 



>=.S 



in 

o 

OS O 



Q OO 






0^ ^O 



rM — 

22 O^ 



Id ^ 



OO CM 



ON Os 









ss 



C 3 c E 









3- 



j2 >'i 



ON ro 

5.S 






Ox ON 

5 ^ 
























^o o 



?:; 



^21 

< 2 3 



ae se 



°t 



OO O 



^ CM 



^s 



S 



o 

I 



* s 



^ 

s 



^ IS ii 

<r;pOa. 

H «- <^ 



si 

tail 

E = s - 



< 
o 



I ^ 

Lo 0. 




III 



i? 



5 o 



<-> s s - 



sago 

o D-O a. 



164 



B 

■s 



U 



o 
■a 



o 



t 

< 






B 
O 

•a 

h 

n 
I 

e 

B 

i< 

« 

cn 

C 

o 

I 





^ 


«" 

'^.N 


oo « 




1^ 




CT\ OO 






SO iTi 

^22 




-C 


— 






rrT 










so' 




6 






















— '•O 


r- oo 




w-1 »n 




rs r- 






r— oo 


''c 


.w 


?;_2: 


m Qo 




!? = 




^ ^ 






3 = 


^ 


1 


■" 


-" 




rf 




— ' 






r-' 


< 


s 






















■^ o 


f— r- 




■^t -* 




Tf oo 






r— On 




3 


5^ 


S-!^ 




-.R 




Is 












■* 


fn 




OO 




Tf 






so 




g 












































t/1 
























2 o 


so r^ 




— OJ 




r^ SO 






O "^ 




s| 


Ssi 


^-" 




S2 




--S 






3 JI; 




x: .a 


oC 






si" 




SO 






r-' 




o-S 


















r^ 


cr 


^ > 




















■£ 
























r <= 


O «/-) 




— "<t 




O oo 






OO Os 




1 = i 


OS 


P.S 




^ « 










K^ 


> 


o 


r- 




S"" 




5'^ 






S 
























o 






















o 




M^ r^ 


f^. C\ 




o o 




0\ ON 






SO ON 


I 




ss 








Ssi 






CS=o 




< 


!C 


oo 




O 




m 










■<*■ 


(N 




r- 










r- 




tst 


o^ r- 


nj OS 




r'l CTv 




so — 






r- O 




^.'=^ 


S2 




S.ci 










-.= 




|Sf 


^0 


oC" 








oo' 










tN 






m 










oo 
















































<: 
























r- u-i 


^- r4 




u-» O 




r^ oo 






— rsi 


1 


it 


S2 


5 2 








8:2 

oo 






S:a 




w-i 


m 




o\ 




r^ 






o 




c « 


















?^ 


CQ 


3 






















r- a^ 


o ^o 




m rsj 




OO rr\ 






9 ^ 
^ ^ 




Is- 


3 ::: 


^22 








(^ OO 








oo' 


o 








SO 






^ 




fe c 


r- 


ro 




r^ 




Tt 






1/1 




o o 


















so 






-* ■* 


(S M-i 




(N */1 




OO O 






. so 






|3 






qs 




Sp 








<?< 


(N 




1^ 




■«t 






rO 




= "=1 








M 










SO 














































r '^. 


ON CN 




ON O 




w-1 U-. 






O OO 


= 


s 1 


ss 


?S 




o?i 










^K 




fs 


OO 




OS 




r- 








i 


oS 








r^ 










g-i 


1 
























r^ ro 


— ^o 




m o 




SO OO 






OS r^^ 


1 


llig 


§3 


S.R 








>^_ p 






s.s 


&0 




r^ 




r- 




wT 






TT 


00 

< 


c S H E 
^ o - 


















rri 




«* ■»!■ 


OS OO 




oo o 




o ■<»■ 






CA r-t 




1 


SIS 


2.S 




O _; 
nsO 










"~. so 




? 


r- 


•o 




o 




t^ 






ro 




u 








rN 










f*i 




£ 
























o ^ 


— ^o 




O M-l 




O SO 






CM O 




00"^ 


oo^ ^ 


§^.s 




s.s 










s.s 




■^ 


i-n 




■* 










O 




OT « 






















QG CTi 






oo Os 




OO oo 






(*1 .-^ 




la 


«.a 








-s 






s.s 










fN 










so 


J, 


s s 




















iS 






















Ilii 


s.s 


5^ 














u-i rsi 




M 






Tl- 










On 




C 3 c E 










































u"- 






















m w-i 






f*^ I* 




m (N 






rM O 




g 


"a 


5g 




".a 




s^ 










i 


so 


m 




^ 




fs 


























m 




£ 
























— p- 


w^ O 




O u-i 




oo o\ 






<N r<^ 




-3 if 


= 5 


OS 




-.§ 










s§ 


s. 


1 S E 


"" 


~" 




O) 










■* 


n 


■< 2 S 




















V 






















S 




I, W1 


■* «n 




m fs 




r- — 






fl ON 


O 


its 


-.3 




sis 




-.s 






SS 


U. 


m 


OJ 




OO 




ro 






w-> 




S"- 
























6<" 
2- 
































Jg 




? 


Z 
O 

o 

Z 

< 

m 

EC 

D 




B 






1 








8 




a. 
o 

i 

a. 


■<* .. 

> 2§ 

^ 8 '^. c 

2 o (N j< 

' ill 


i t Hi 

« D 5 ^. C 

S ■§!::; 5 

o a = "-^ ■- 

s ° s i ^ 


J 

o 

c 




c 


8 

< 

a: 


- 1 

oo' c 

1 2 ^ 
HI 


1 

g 


< 

z 


3 

l§ 

00 oo 


e 

c 
c 

1 
1 


c 








r~ g-O tt. 


VI 


^ D.O CL. 




^ |oa. 

oo *-^ 






O 0. 






5 8- 
















— ' 




so" 






—" 






<n' 






so' 




1 



c; 3 



Ess 

C « u 






165 



Table 22. — Offenses Qeared by Arrest' of Persons Under 18 Years of Age, 1983 

[1983 estimated population] 



Population group 



TOTAL ALL AGENQES: 
13,103 agencies; population 
214,863,000: 

Total clearances 

Percent under 18 



TOTAL OTIES: 9,074 cities; 
population 146,385,000: 

Total clearances 

Percent under 18 



Group I 

57 cities, 250,000 and over; 
population 39,660,000: 

Total clearances 

Percent under 18 

5 cities, 1,000,000 and over; 
population 14,857,000: 

Total clearances 

Percent under 18 

18 cities, 500,000 to 999,999; 
population 12,534,000: 

Total clearances 

Percent under 18 

34 cities, 250,000 to 499,999; 
population 12,270,000: 

Total clearances 

Percent under 18 



Group II 

117 cities, 100,000 to 249.999; 
population 17,158,000: 

Total clearances 

Percent under 18 



Group III 

297 cities, 50,000 to 99,999; 
population 20,314,000: 

Total clearances 

Percent under 18 



Group IV 

630 cities, 25,000 to 49,999; 
population 21,668,000: 

Total clearances 

Percent under 18 



Cnme 
Index 
total 



2,330,694 
20.1 



1,898,181 
20.6 



627.735 
15.1 



205,105 
10.2 



194,131 
19.1 



228.499 
16.2 



277.644 
20.5 



259.901 
23.4 



264,692 

24.5 



Modified' 
Cnme 
Index 
total 



2,347,947 
20.2 



1,910,693 

20.7 



Violent' 
crime 



535,748 
9.5 



429,824 
9.8 



632.340 
15.2 



206,396 
10.3 



195,665 
19.2 



230,279 
16.3 



279,544 
20.6 



261,341 
23.5 



266,167 
24.6 



Property 
crime 



1,794,946 
23.2 



1,468,357 

23.7 



200,633 
7.9 



82,993 
5.5 



53,358 
11.1 



64,282 
8.2 



60,507 
10.9 



49,404 
12.5 



43,020 
11.7 



Murder 
and non- 
negligent 

man- 
slaughter 



13,375 
4.6 



10,318 

4.5 



427,102 
18.5 



122,112 
13, 



140.773 
22.1 



164.217 
19.3 



217.137 
23.1 



210,497 
25.9 



221.672 
27.0 



5.788 
4.3 



2.713 
3.6 



1.604 

4.2 



1.471 
5.6 



1.348 
5.3 



Forcible 
rape 



970 

4.3 



805 
5.1 



38,116 
9.2 



29,162 
9.5 



Robbery 



13.621 
7.8 



4.592 
8.6 



4.202 

7.2 



4.827 
7.5 



4.500 
8.9 



3,560 
11.3 



2,838 
11.3 



121,310 
12.4 



108,288 
12.4 



Aggra- 
vated 
assault 



66.660 
10.0 



32,552 
6.3 



17,078 
16.4 



17,030 
10.8 



15,231 
15.5 



10,082 
17.0 



7.742 
16.6 



362,947 
8.7 



282,056 
9.0 



Burglary 



433,337 
22.8 



325,725 
22.7 



114,564 
6. 



43,136 
4. 



30,474 
9.1 



40.954 

7.3 



39.428 
9.5 



34.792 
11.6 



31.635 
107 



109.074 
16.6 



Larceny- 
theft 



1,226,193 
24.0 



1,038,228 
24.6 



34,163 
208 



40,399 
18 1 



49.374 
21.4 



46.476 
25.4 



43.814 
26.1 



279.715 
19.9 



34.512 72,304 

108 15.6 



Motor 
vehicle 
theft 



135,416 
17.6 



104,404 

17.7 



94,813 
22.8 



112,598 
20.1 



154,679 
24.1 



150,449 
26.6 



165,275 
27.7 



38,313 
14.5 



15.296 



11.797 
19.9 



1 1,220 
16,5 



13,084 
18.5 



13.572 
20.5 



12,583 
20.1 



17,253 
33.8 



12,512 
35.8 



4.605 
28.6 



1.291 
18.4 



1.534 
34.8 



1.780 
306 



1,900 
36.3 



1,440 
40.1 



1,475 
45.0 



166 



lible 22. — Offenses Cleared by Arrest' 


of Persons Under 


18 Years 


of Age, 1983 — Continued 












Population group 


Cnme 
Index 
total 


Modincd- 
Cnme 
Index 
total 


Violent' 
L-nme 


Property' 
cnme 


Murder 
and non- 
negligent 

man- 
slaughter 


Forcible 
rape 


RoblKry 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


Arson^ 


Group V 


























1.579 cities, 10.000 to 24.999; 
population 24.774,000. 

Total clearances 

Percent under 18 


260.854 
24.4 


262.491 

24.6 


40.224 
11.4 


220,630 
26.8 


779 
4.4 


2.475 
12,9 


5,572 
16.8 


31,398 
10.5 


42.224 
28.0 


164.667 
27.1 


13.739 
19.3 


1.637 
42.6 


Group VI 


























6.394 cities under 10.000; 
population 22.811.000: 

Total clearances 

Percent under 18 


207.355 
23.7 


208.810 
23.8 


36.036 
10.4 


171,319 
26.5 


628 
4.8 


2,168 
11.9 


3,001 
16.6 


30,239 
9.8 


34.763 
29.6 


123.443 
26.4 


13,113 
19.3 


1.455 
37.0 


Suburban Counties 


























1,219 agencies; 
population 40.415.000: 
Total clearances 


311.565 
18.9 


314,937 
19.1 


75.324 
9.4 


236,241 
22.0 


1,738 
4.8 


6,253 
8.3 


10,916 
12.9 


56.417 
9.0 


73.904 
23.5 


141.199 
21.8 


21,138 

17.5 


3.372 


Percent under 18 


31.3 


Rural Counties 


























2.810 agencies; 
population 28.062.000: 
Total clearances 
Percent under 18 


120.948 

15.5 


122,317 
15.6 


30.600 
5.8 


90,348 
18.8 


1.319 
4.8 


2,701 
8.1 


2,106 

7.3 


24.474 
5.5 


33,708 
22.4 


46.766 
16.5 


9,874 
17.6 


1.369 
20.8 


Suburban Areas' 


























6.121 agencies; population 
85.825,000: 
Total clearances 


752.478 
22.4 


758.735 

22.5 


146.433 
11.1 


606,045 

25.2 


2.888 
5.1 


10,730 
10.3 


22,071 
15.5 


110,744 
10.5 


146.593 
25.9 


414,224 
25.6 


45.228 
18.7 


6,257 


Percent under 18 


36.8 







'Includes offenses cleared by exceptional means- 

'The number of agency reports used in arson clearance rates is less than used in compiling clearance rates for other Cnme Index offenses- However, the number of agencies 
used in the arson column for this table is greater than the number used in the clearance table on page 39. since il is not necessary to report clearances by property classification to 
be included in this table The Modified Cnme Index total is the sum of the Crime Index offenses, including arson 

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

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

^Includes suburban city and county law enforcement agencies within metropolitan areas. Excludes core cities. Suburban cities are also included in other city groups. 



167 



SECTION IV 
PERSONS ARRESTED 



Arrests are primarily an indication of law enforcement 
activity as it relates to crime. Although arrest practices, 
policies, and enforcement emphases vary from place to place 
and even within a community from time to time, arrest data 
provide a useful indication of involvement in criminal acts 
by the age, sex, race, and ethnic origin of the perpetrators. 
The volume of arrests for certain unlawful conduct such as 
drunkenness, disorderly conduct, vagrancy, and related 
violations may differ among agencies. However, arrests for 
robbery, burglary, and other serious crimes are more likely 
to be the result of uniform and consistent practices 
throughout all jurisdictions. Procedures used in this 
Program require that an arrest be counted on each separate 
occasion a person is taken into custody, notified, or cited. 
Annual arrest figures do not measure the number of 
individuals arrested since one person may be arrested 
several times during the year for the same or different 
offenses. 

During 1983, law enforcement agencies made an 
estimated 11.7 million arrests nationwide for all criminal 
infractions except traffic violations. The arrest rate was 
5,120 per 100,000 inhabitants of the total estimated United 
States population. Cities with populations over 250,000 
showed an arrest rate of 7,427 per 100,000; suburban areas 
registered 4,230; and rural counties recorded 3,500 per 
100,000 people. 

Arrest Trends 

Arrests for all offenses except traffic violations dropped 3 
percent in 1983 from the 1982 volume. During this time, 
arrests of persons under 18 years of age decreased 10 
percent and arrests of persons 18 years of age and older 
declined 2 percent. When considering only the eight Crime 
Index offenses, arrests of persons of all ages were down 5 
percent; adult arrests declined 4 percent; and juvenile 
arrests decreased 8 percent. Arrests for the Index's violent 
crimes dropped 4 percent, and those for property crimes 
were down 6 percent. 

For the 5-year period, 1979-1983, total arrests rose 10 
percent in volume, with the arrests of persons under 18 
years of age decreasing 17 percent but those of persons 18 
and over increasing 1 8 percent. Crime Index arrests were up 
1 percent overall and 1 5 percent for adults. Conversely, the 
number of juveniles arrested for Index crimes dropped 20 
percent. Total violent crime arrests rose 3 percent over the 
1979 total, while property crime arrests were up 1 percent. 

The number of arrests for drug abuse violations in 1983 
rose 5 percent over the 1982 total and was 20 percent higher 
than in 1979. The types of drugs involved in violations 



resulting in arrests during 1983 are shown by geographic 
region in the accompanying table. 



Arrests for Drug Abuse Violations 

[Percent distnbution] 





Total' 


Heroin 

or 
cocaine 


Mari- 
juana 


Syn- 
thetic 
narcotics 


Other 


Northeastern States 

Sale/manufacture 

Possession 

North Central States 

Sale/manufacture 

Possession 


100.0 
27.3 
72.7 

100.0 
24.1 
75.9 

100.0 
23.6 
76.4 

100.0 
15.8 
84.2 


27.4 

10.9 

16.6 

7.7 

2.5 

5.2 

13.3 

4.7 

8.7 

36.6 

5.2 

31.5 


59.8 
11.8 
48.0 
69.4 
10.2 
59.2 
69.6 
12.4 
57.1 
48.8 
7.4 
41.4 


4.2 

1.5 

2.7 

4.3 

1.7 

2.6 

4.6 

1.6 

3.0 

.8 

.3 

.5 


8.6 

3.2 
5.4 
18.6 
9.7 
8.9 




12.5 


Sale/manufacture 

Possession 


4.9 
7.6 




13.8 




2.9 


Possession 


10.9 


Total 


100.0 
22.1 

77.9 


23.1 
6.0 
17.1 


60.9 
10.5 
50.5 


3.3 
1.2 
2.1 


12.7 
4.5 


Possession 


8.3 



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

Age 

Age distribution data for all arrestees nationwide showed 
that 5 percent were under the age of 15, 17 percent were 
under 18, 32 percent were under 21, and 51 percent were 
under 25. 

Proportionally, arrests of young persons were greater in 
the Nation's cities and suburban areas than in the country as 
a whole. The under 25 age group accounted for 53 percent 
of arrests in the city and suburbs. In the rural counties, the 
distributions of arrests for the younger age groups were 
lower than the national experience. Persons under age 25 
comprised 43 percent of the total rural arrests. 

Considering only the Crime Index offenses (including 
arson), 12 percent of the arrestees in the Nation were under 
the age of 15; 30 percent were under the age of 18; 47 
percent were under 21; and 63 percent, under 25. A further 
examination of figures on arrestees in the lower age brackets 
showed that persons under 25 years of age comprised 52 
percent of those arrested for violent crimes and 66 percent 
of those arrested for property crimes. 

Sex 

A comparison of 1982 and 1983 figures showed that both 
male and female arrests decreased during the 2-year period. 
Male arrests dropped 3 percent in volume, while those of 
women were down 1 percent. Outnumbering women 
arrestees by 5 to 1, males accounted for 83 percent of all 
arrests, 80 percent of those for Index crimes, 89 percent of 



168 



those for violent crimes, and 77 percent of those for 
property crimes. 

As shown in former years, larceny-theft was the crime for 
which females were most often arrested. This single offense 
accounted for 80 percent of arrests of women for Index 
crimes and 20 percent of all female arrests. 

Arrests of males rose 9 percent from 1979 to 1983, while 
female arrests were up 15 percent. Although the number of 
adult arrests increased for both sexes, arrests of females 
under age 18 fell 14 percent and those of males dropped 18 
percent during the 5-year period. 

Arrest Rates 

Arrest rates are a measure of law enforcement activity in 
response to crime. The accompanying table presents the 
Crime Index arrest rates per 100,000 inhabitants in the four 
geographic regions of the United States. 



Arrests, Region, 1983 

[Rate per 100,000 inhabitants] 



Offense 



Murder 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 

Crime Index total' 



United 
States 
total 



9,0 

15.0 

66,8 

130.3 

207,1 

582.5 

52.6 

8.6 



North- 
eastern 
States 



66 
14.3 
101.7 
127.7 
177.9 
475.8 
49.5 
8.5 



North 
Central 
States 



8.0 
14.6 
49.5 
77.8 
166.2 
593.9 
41.7 
9.1 



Southern 
States 



Western 
States 



10.4 
15.4 
54.7 
155.1 
209.7 
566.4 
46.0 
7.8 



102 

15.7 

70.4 

148.5 

275.9 

703.1 

78.1 

9.3 



Includes arson. 



I 



169 



Table 23.— Total Estimated Arrests', United States, 1983 



TOTAL= 

Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft ...; 

Motor vehicle theft 

Arson 

Violent crime' 

Property crime* 

Crime Index total^ 

Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, possessing 

Vandalism 

Weapons; carrying, possessing, etc 

Prostitution and commercialized vice 

Sex offenses (except forcible rape and 

prostitution) 



11,700,500 



20,310 

34,080 

146,170 

298,830 

475,800 

1,315,000 

119,400 

19,800 



499,390 
1,930,000 



2,429,400 



547,500 
85,600 
309,800 
8,800 
127,700 
243,500 
179,600 
125,600 

87,000 



Drug abuse violations 

Opium or cocaine and their derivatives 

Marijuana 

Synthetic or manufactured drugs 

Other dangerous nonnarcotic drugs 

Gambling 

Bookmaking 

Numbers and lottery 

All other gambling 



Offenses against family and children 

Driving under the influence 

Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

Ail other offenses (except traffic) 

Suspicion (not included in totals) 

Curfew and loitering law violations . 
Runaways 



661,400 



149,500 

406,900 

22,300 

82,700 

41,000 



3,500 

7,300 

30,200 



56,300 

1,921,100 

498,300 

1,115,200 

757,400 

33.700 

2,267,900 

13,800 

75,000 

128,900 



'Arrest totals based on all reporting agencies and estimates for unreported areas. 
^Because of rounding, items may not add to totals- 

^Vioient crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 
■'Property cnmes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 
^Includes arson. 



170 



> S 2 .. o ^ 
§■ " g g; 3 ^ 

O "^ O -fc" = <^ 



O 00 ^ 



2- r^ 

2 « 



) Tf r^ CTs O 00 — o^ 



^,'^^.B « s qs -.^ s si 3 ?i 5i « 



^ x< 5 



r- — (N QO r-i 



_ ^ ^- CO Tj- — ^ 



!^K;=KS; 



-r— ooos^^OrNi(N<^''^~OM; 



1 "^ QO 



m -O ^ O^ f^ 1"^ *■ 



^ r<^ „ f-, _- ^ ro ir> 



O O — — r- r 



(N — 



— r'T o — <n'— rfw-ir- — 



; " S.«i s J::; s ^ -. o £jc> s :^ g r^ 

— ^ »~j CTv — r-'Ooo ^- 






o r- H. OS Q. J: 



= iSi 



— 2'^ g^r 



o£S||^- 



I a 



— ■* ■= 3 «N 

O O 0^ 



I 



'as 



3 



R -^ 2 2 g: g s s -.g -.5 S; s s " 



00 OS -"t r~ 



OS r- ■* — 



u-i 00 — OS 

1/-^ — \0 «-i 
so — 















OS 
m 


00 




rri 




r4 
00 


^ 




— 




^ 





in f-J 00 ^ 



r^ OS 



5s 



S 'i a :: 2 s ?; £ ^.s ^.si ?,^ K = 

^ 04 o — — rsir^or-oo — 
— (-^ tJ- m 



K <^ g 2 a s s 5 s g s 5 ;?.^ s 

— ' r*% Tt Wi — -^ (-■ — 

— r^ -* 



I 00 00 — 



>^«r>mr-oj'*^oo»/^ 



^••O *r» ^'^ 1^* t^ "^l UU M» r- i 1^ Kj^ \^^ ^rf■^ WW 

00 — cN — cj — Or-ir-*r--— 

^- r- 00 ^- — ^ 



r^nj^OOONOOfNC 

P. SO •*! m ^- OS . 



00 — 



O O 
R so 



^_, s^ ^ \0 

so '-'^ OS 



OS O 00 SO 
^ — Q r^ 
f-. OS ^. O 

tT — <*% O 
r^ 00 ^ 



r-1 so 00 — 



s'-sr- 



Os O f^ "^ 



O r- 

3 5 



<-s| sO 

3- 



iS."" si:£ s si s a P r °^ -= "^ -^ ~ ~ 



— rj 



■^^ O "^i <^ ^- 
• — ^r^osr-— (N 

— Ov ^- 00 00 ^" 



lOoooo — (-n — — Ow-i^Ornso 

) ^ _- — u->r-)Os>n'£> r— 

1 f*i ^O ^ "^ O — 
— (N Tf — — 



sO — ■* 00 

^. ;:; ^- ^ 

f-^ rsi r- 00 



I 2 

if ^ 

•S 3 






I Sb ef a i s 
(^ < a -J S < 



u « K « 






171 



■c 

e 
o 



o 

a. 



PS 



E 



< 
I 



a 

H 







fS 


»* 


-r* 


\£i 


„ 


r-M 


_^ 


r~- 


Tf 


^ 


r-i 


i30 





r^ 


OS 


00 


■^ 


OS 


U-1 


-* 


w~. 


00 


Ov 


00 


rsi 


OS 





r^ 


r- 





^ 


m 


OS 


"* 





— 


* 


r^ 


irt 


■* 


^ 


00 1 




l~S II Q 


:2 ^ s a s.« s " S ^ s s a K s - s ° ?; s ? ^ -.s ?. s^ ^.s -.? s ?° ^ ^ g; 5 


-.-*Ss5.3^ 




f-^?^Tj- r^ — r^ — r<i — ^O r- -* Or-gw-i — (Noor- — r-rHTTr^u-v r^r- 


r*^ 00 r— 




-OfNO -^OO-^ rsios (NOsw-ir-OO Q 


— T 




Subi 
ai 
i.l49 

popu 
80.62 
























6,010 
147.3 
7,397 

30.2 
5,498 
186.1 

889 

3.6 

7,446 

30.4 
3.793 

56.4 
8.441 

34.5 

268 

1.1 

4,895 

20.0 
3.283 
177.0 
1.101 
4.5 
0.815 

44.2 
9.833 
021.6 
8.965 
159.3 
3,558 
300.8 
6,004 
106.3 
560 
2.3 
2,615 
624,1 


W-1 OS fN <-0 f^ */^ 




.ural 

inties 

;,329 

incies; 
ulation 
54.000) 


^'-ig'-iRs 




so" 




rr, Tt — ^ — ^^-'f^f^" >n 












K o c; a cl^. 






1 


" "2.- 








i~^^_-r~roi^--^r^w-ir--^^>j^r--r^r-ir^^»r>w-»rn<^^r--ir--r--^CT\oosOrsioooou^-- 


rs) 00 00 OS (N 


5 


urban 

nties' 

.041 

ncies; 

alation 

10.000) 


S E S s S.S S - S; :g 5 fi 3 ^ S 2 ^.S 2 gi S ^ 2 5 S S g ;rf S ^ != -^ q- 


a ■ - "^ i;^ 




00 — •— r— — rst NO so ^ (N — (Nm so ooCTvQ^-i/^r-Ju-t -h mr~ 
1-0 —- •-.a ■— ■ rsi (^ — - CTs ■— i/^ ^ 00 '^^ 00 


r^' q "^ 




rs) 




^ ro (N 






Sub 
cou 

(1 

age 
popi 
36.5 






















</^ooooor-iO>/-ioor--r--r'^ — --Orsi--r-^'r>oooor--Tt(»r^ryr'iosrjo«>r^Osor--co'^ 


r— r- w^ OS vn OS 




^ 


CT,' ?s ^ ^ 00* >^* — 0* ^' — " rj cm' .d-' 00' ^ so" \0 oC ■* — v-T 00 


R^S^S^ 




roup VI 

(4.937 

cities 

under 

10.000; 

ipulatior 

.053,000 


— r- 00 




r^ — (N— -^ c7x_;r-rNr- «^ 












o its 






>|a,.i| 


,056 
24.2 
,654 
33,0 
,223 
38,6 
451 

1,9 
,902 
51.2 
,938 
28.9 
,703 
54.7 
946 

41 
,104 
26.3 
.314 
08.0 
.295 

5.6 
.481 
15.0 
,157 
67.1 
,060 
88.8 
,140 
08.7 
,828 
35.1 
,294 

5.6 
,766 
009 


,919 
8.3 
,028 
38.9 
.702 
63.3 




rNcNr- u^ ^ — CTs — rM ^ oorM— r^ oor-r-<Nootnr-<-i^ csr- 


— OS ■* 




W-. CM —rg— ■«*■ r-sO--r- so 






c'^ O S^ ra ^- 








3 5 OS — Tf 








S S =- ■»" IS 








OjS^g.;,- 
















soos'/^sOfNr- — '/-.l^oOf^Oosr- — Or-ooossor-osr^ — ^w^«)0^--^v^^^c^t^r~^s — 


r-v «^ rsi 3; 1/1 




> fi o . g 8 


S.5 S s § S P - S 3 S.S ".3 S. 2 2.S ^.S 5.-^ S. 2 S s R a S 8 SiS ^.-^ S.S 


-''"SSs 




Ofsr- OS rsi sO — <N rj r- oorN— r-4 u-^r--os(N<N>noor^— Oi~- 


r- ^ 




5^ — _?^^ ^ u^Tj-oo w|^ 






al s 1 1 ^• 






6 


Grou 

(598 
25,01 
49.' 
popu 
20.54 








^O^u^rs] — 0^*^^'~-ir-0'^''^'^r~-'~^''^*^''^CTsOosQr-rJOoo^ — «>or~<Jsoo 


rsi rs ^ >/^ r~- 


^ 


=;S 1^ ".S S-^ S £« ^.Id ? S q a « c;^.- S :i 1 si S.2 RS ".S S p a; 


~2Sp;-.?i 




III 

ties 
1 to 

19; 

tion 
000 


— fNsO u-1 (N — — n-1 ^ r- sOf*^— (M sOvOCTvOjr-"/^w-i<-->« f-l-O 


— ij-i -+ 




.^ — -;(N— W1 rsl^ONU-1 (N 


"" 




a.-o a g^ .s «■ 








3 y -• 3 O 








Gro 

(267 
50.( 
99 
pop 
18.2 
















,543 
10,5 
,130 
47,3 
,153 
40.5 
866 
5.0 
,879 
69.1 
,836 
27.0 
,140 
99.7 
,078 
70.3 
.415 
54.8 
.810 
24.6 
.745 
16.0 
.791 
16.2 
.154 
22.2 
,565 
60.3 
,509 
70.8 
.192 
55.9 
.215 
18.7 
.460 
50 8 


rsi m u-> r-i 




-g =_..§! 


^-^-SiS?; 




oor^oo-T—- — — — r- rs cr t^ r^ r^ rs ^r-r^ — fMr- — rnr-^ r^os 


■^' rs' 




1^ ^ „rM — — «^ rvlrsf^so ^ 














Group 

(117 ci 
100.00( 
249.9' 
popula 
17.191. 
















^r^osfN — — — Oooi'^r-sososow^ — ^ — ^ — ^oo^^r-so^Tj.^.os(NO'*'^<^r-4oo 


rs r- -^ OS 10 ■^ 




■ - c ?^ 


-.S -.5 ".SS. ' -.P --^^ -.^ "R Rs ? K ".S ". = S.:S 5 s a s -.s -.^ s s 


^2^;cS^ 




oup I 
cities 
0,000 
1 over 
ulatio 
15,00( 


pr, — .^ f*^Tj-si<ysrslr-irvl fSoo^r~ — — „ 


■* 3;" s 




m rsj 




— (N (N rj (N 00 












u ^ «-, T3 o.«^i 








Oe"§i5 












— 




377.198 

270.0 

55,190 

39.5 

148,843 

106.5 

4,674 

3.3 

87,985 

63.0 

172,339 

123.3 

131.479 

94.1 

114.177 

81.7 

60.052 

43.0 

482.547 

345.3 

33.897 

24.3 

19.097 

13.7 

,005.298 

719,5 

347,958 

249,0 

818.657 

585,9 

617.067 

441,6 

28,944 

20,7 

,567,647 

1.121 9 


u-> ov 00 r- — — 






8 -=.^3 3 




— »n 1/1 




— so 00 










tal 

(7.4 
citii 
pull 

.721 


— — 






O O OS 










481,615 

240.0 

74,508 

37.1 

261,844 

130.5 

7,604 

3.8 

112,424 

56,0 

212,629 

105.9 

160,534 

80.0 

119.262 

59.4 

77.119 

38.4 

616,936 

307.4 

38.403 

19.1 

46.111 

23.0 

,613.184 

803.8 

427,230 

212.9 

977,924 

487.3 

678,917 

338.3 

31,262 

15.6 

.005.797 

999 4 


rM — 00 ^ 




^ g| 


S^2s;5:^ 




rsi 00 rs] 




_ so — 




s 2 ~. s ^■ 






Toi 

(10,: 

ageni 

popuI 

200.69 


— rM 








































1 

•z 








































































.S 


































































































1 




















































I 

s 


















.5 










.a 

t: 




■a 


































1 




1 




1 
































bO 












w 






















B 













c 



















1 






.5 


1 


« 










■a 


i 






















■? 












tit) 

c 














g 




B. 










g 


















D. 


C 


s 












1 










s 








1 


c 








f 


-S 

4> 

J2 










* 








1 


_3 


■5 










t 


4 


■^ 


4 


C 

1 

1 


4. 


D-O- 

C 






1 







.2 

Si i 
1^ 





0. 

0: 


.1 

OX) 4. 

B 


li 

3 « 

C 
> 


I 
1 


4. 


c 

c 
a. 

e 


0. 


4 


> 

c 


0. 





'B. 


2 


1 
I 

a 
c 


s « 






■5t! «E'ol= id Q X C rti=C crC-S «' = 


5 3 3 1 






c 




li 




u 




l-L 




ly 




> 




S 




a 




V 




C 




C 




c 




c 








c 




C 




> 




< 




w 









K 


1 



I St. 





2 


> 


c: 




f 


^n 














c 




" 






Tl 














* 








!fi £• 


° 


» 




1 





1^ 




^ 


■? 


?? 


c 


S. 


■£ 




^ 


u- 


c 


!r 


n 


U 




3 




^ 












i 




r 








* 


■; 


^ 






e 


g 


x> 

















c 

3 



1 


1 


c 


■^ 


r" 







f! 


C 


r 


^ 


3 


f^ 




C i" 




i 












!fi 


?5 




?>« 








9- -2 




_j 


•p 



172 



able 25. — Total Arrest Trends, 1974-1983 

289 agencies; 1983 estimated population 135.616,000] 





Number of persons arrested 


Offense charged 


Total all ages | 


Under 18 years of 


age 


18 years of age and 


over 


1974 


1983 


Percent 
change 


1974 


1983 


Percent 

change 


1974 


1983 


Percent 
change 


TOTAL 


6,161,727 


7,045,637 


+ 14.3 


1,634,667 


U53,728 


-23.3 


4,527,060 


5,791,909 


+ 27 J} 






lurder and nonnegligent manslaughter 


14.054 
17.402 
106.279 
150.089 
330.363 
706.277 
102,418 
10335 


12.901 

20.850 

99.031 

170.887 

279,529 

827,878 

76,238 

11.506 


-8.2 
+ 19.8 

-6.8 
+ 13.9 
-15.4 
+ 17.2 
-25.6 
+ 11.3 


1,384 

3,419 

35,726 

24.814 

176.018 

345.347 

56,960 

5,966 


1,015 

3,214 

27,668 

23,560 

109,740 

273,487 

26.646 

4.512 


-26.7 
-6.0 
-22.6 
-5.1 
-37.7 
-20.8 
-53.2 
-24.4 


12.670 
13.983 
70.553 
125.275 
154.345 
360,930 
45,458 
4,369 


11.886 

17.636 

71.363 

147.327 

169,789 

554,391 

49,592 

6.994 


-6.2 
+ 26.1 




+ 1.1 




+ 17.6 




+ 10.0 




+ 53.6 


(otor vehicle theft 


+ 9.1 




+ 60.1 








287,824 
1,149,393 


303.669 
1.195.151 


+ 5.5 
+ 4.0 


65,343 
584,291 


55,457 
414,385 


-15.1 
-29.1 


222,481 
565,102 


248.212 
780,766 


+ 11.6 




+ 38.2 








1,437,217 


1.498.820 


+ 4.3 


649,634 


469,842 


-27.7 


787,583 


1,028,978 


+ 307 








274,749 
39,879 
99,042 
5,994 
74.333 
140.749 
114,794 

51,524 

41,714 

456.449 

49.712 

40.584 

671.210 

182.071 

952,626 

522.298 

33.726 

758.444 

32.223 

67.498 

147.114 


348.990 
49,645 

163,190 
4,434 
79.050 

156.532 

112.925 

88.291 

53.291 

432.319 

29.109 

24.940 

998.127 

285,530 

631,857 

529,758 

25,061 

1,421,672 

9,428 

33,263 

78,833 


+ 27.0 
+ 24.5 
+ 64.8 
-26.0 

+ 6.3 
+ 11.2 

-1.6 

+ 71.4 

+ 27.8 
-5.3 
-41.4 
-38.5 
+ 48.7 

+ 56.8 
-33.7 
+ 1.4 
-25.7 
+ 87.4 
-70.7 
-50.7 
^6.4 


55,012 
5,252 
4,665 
454 
25.282 
96.107 
18.109 

7,223 

9.298 
120.047 
2.184 
3,570 
10,430 

75,984 
29,300 

101,884 
4,768 

205,852 
10,228 
67,498 

147,114 


61,104 
4,599 
19,390 
315 
19,710 
68,782 
16,776 

2,246 

8,508 

52,401 

933 

867 

15,059 

81.208 

18,612 

79,965 

1,566 

219,749 

2.075 

33.263 

78.833 


+ 11.1 
-12.4 
+ 315.6 
-306 
-22.0 
-28.4 
-7.4 

+ 1.0 

-8.5 
-56.3 
-57.3 
-75.7 
+ 44.4 

+ 6.9 
-36.5 
-21.5 
-67.2 

+ 6.8 
-79.7 
-507 
^6.4 


219,737 
34,627 
94.377 
5.540 
49.051 
44,642 
96,685 

49,301 

32,416 

336,402 

47,528 

37,014 

660,780 

106,087 
923,326 
420,414 

28,958 
552,592 

21.995 


287,886 
45,046 

143,800 
4.119 
59.340 
87.750 
96.149 

86.045 

44,783 

379,918 

28,176 

24,073 

983,068 

204,322 

613,245 

449,793 

23,495 

1,201,923 

7.353 


+ 31.0 




+ 301 




+ 52.4 




-25.6 




+ 21.0 




+ 96.6 




-.6 




+ 74.5 


;x offenses (except forcible rape and 


+ 38.2 




+ 12.9 




^«3.7 




-35.0 




+ 48.8 




+ 92.6 




-33.6 




+ 7.0 




-18.9 




+ 117.5 




-66.6 
























'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. 



173 



Table 26. — Total Arrest Trends, Sex, 1974-1983 
[5,289 agencies; 1983 estimated population 135.616.000] 
























Males 


Females [ 


Offense charged 


Total 


Under 18 


Total 




Under 18 




1974 


1983 


Percent 
change 


1974 


1983 


Percent 
change 


1974 


1983 


Percent 
change 


1974 


1983 


Percent 
change 


TOTAL 


5,175,598 


5,863,844 


+ 13.3 


1,287,825 


987,935 


-23.3 


986,129 


1,181,793 


+ 19.8 


346,842 


265,793 


-23.4 




Murder and nonnegligent 
manslaughter 


12,021 

17,258 

99,041 

129,831 

312,580 

489,163 

95,770 

9,250 


11,188 

20,649 

91.751 

147,404 

260,714 

580,606 

69,262 

10,083 


-6.9 
+ 19.6 

-7.4 
+ 13.5 
-16.6 
+ 18.7 
-27.7 

+ 9.0 


1,273 

3,359 

33,206 

20,876 

166,846 

248.985 

53,145 

5,423 


912 

3,176 

25,911 

19,700 

102,515 

201,103 

23,729 

4,083 


-28.4 
-5.4 
-22,0 
-5.6 
-38.6 
-19.2 
-55.4 
-24.7 


2,033 

144 

7,238 

20,258 

17,783 

217,114 

6,648 

1,085 


1,713 

201 

7,280 

23,483 

18,815 

247,272 

6,976 

1.423 


-15.7 

+ 39.6 

+ .6 

+ 15.9 

+ 5.8 
+ 13.9 

+ 4.9 
+ 31.2 


111 

60 

2,520 

3,938 

9,172 

96,362 

3,815 

543 


103 

38 

1,757 

3,860 

7,225 

72,384 

2,917 

429 


-7.: 

-36.1 

-30.; 

-2.( 

-21.: 

-24.! 

-23.; 

-21.( 


Robbery 


Aggravated assault 












258,151 
906,763 


270,992 
920,665 


+ 5.0 
+ 1.5 


58,714 
474,399 


49.699 
331.430 


-15.4 
-30.1 


29,673 
242,630 


32,677 
274.486 


+ 101 
+ 13.1 


6.629 
109,892 


5,758 
82,955 


-13. 

-24.: 


Property crime^ 




1,164,914 


1.191.657 


+ 2.3 


533,113 


381,129 


-28.5 


272,303 


307,163 


+ 12.8 


116,521 


88,713 


-23.' 






236,313 

28,668 

65,599 

4,474 

66,553 
129,455 
105,325 

13.017 

38,448 

391,661 

45,566 

35,646 

617,533 

154,463 

884,607 

412,223 

29,490 

636.302 

27,733 

51,753 

63,588 


297,963 

32,715 

101,604 

3.020 

70,015 
141,648 
104,193 

28,111 

49,036 

372,376 

25,955 

21,637 

882,051 

237,402 

575,624 

444,506 

22,723 

1.204,194 

8.021 

24,505 

32,909 


+ 26,1 
+ 14,1 
+ 54.9 
-32.5 

+ 5.2 
+ 9.4 
-1.1 

+ 116.0 

+ 27.5 
-4.9 
^3.0 
-39,3 
+ 42.8 

+ 53.7 
-34.9 
+ 7.8 
-22.9 
+ 89.2 
-71.1 
-52.7 
^8.2 


43,440 

3.677 

3,643 

351 

23,123 
89,086 
17,080 

742 

8,071 
99,512 
2,103 
2,269 
9,609 

60,793 
25,292 
83,872 

3,912 
162,796 

8,653 
51,753 
63.588 


47,829 

3,074 

15,211 

230 

17,879 
63,244 
15,762 

691 

7,963 

44,080 

887 

523 

13,032 

60,413 

15,628 

66,490 

1,334 

175,122 

1,635 

24,505 

32,909 


+ 101 

-16.4 

+ 317.5 

-34.5 

-22.7 

-29.0 

-7.7 

-6.9 

-1.3 
-55.7 
-57.8 
-77.0 
+ 35.6 

-.6 
-38.2 
-20.7 
-65.9 
+ 7.6 
-81.1 
-52.7 
^8.2 


38,436 

11,211 

33,443 

1,520 

7.780 
11,294 
9,469 

38,507 

3,266 

64,788 

4,146 

4,938 

53,677 

27,608 

68,019 

1 10,075 

4,236 

122,142 

4,490 

15,745 

83,526 


51,027 

16.930 

61,586 

1,414 

9,035 
14,884 
8,732 

60,180 

4.255 

59,943 

3,154 

3,303 

116,076 

48.128 

56,233 

85,252 

2.338 

217.478 

1,407 

8,758 

45,924 


+ 32.8 

+ 51.0 

+ 84.2 

-7.0 

+ 16.1 

+ 31.8 

-7.8 

+ 56.3 

+ 303 

-7.5 

-23.9 

-33.1 

+ 116.2 

+ 74.3 
-17.3 
-22.6 
^M.8 
+ 78.1 
-68.7 
^14.4 
^5.0 


11,572 

1.575 

1,022 

103 

2,159 
7,021 
1,029 

1,481 

1,227 

20,535 

81 

1,301 

821 

15,191 
4,008 

18,012 
856 

43,056 
1,575 

15,745 

83,526 


13,275 

1,525 

4,179 

85 

1,831 
5,538 
1,014 

1,555 

545 

8,321 

46 

344 
2,027 

20,795 

2,984 

13,475 

232 

44,627 

440 

8,758 

45,924 


+ 14. 

-3.: 

+ 308.' 

-17. 

-15. 

-21. 

-1. 

+ 5. 

-55. 
-59. 
^3. 
-73. 
+ 146. 

+ 36. 

-25. 
-25. 
-72. 
+ 3. 
-72. 
-44. 
^5.' 




Fraud 


Embezzlement 

Stolen property; buying, receiving, 

possessing 

Vandalism 


Prostitution and commercialized 

vice 

Sex offenses (except forcible rape and 






Offenses against family and children 




Drunkenness 
















'Violent crimes are offenses of murder 
^Property crimes are offenses of burgi 
'includes arson. 

174 


, forcible ra 
iry, larceny- 


pe, robbery 
theft, mote 


and agg^a^ 
vehicle the 


ated assaul 
ft, and arso 


n. 

















Table 27. — Total Arrest Trends, 1979-1983 

[8.227 agencies; 1983 estimated population 169,975.000] 



Offense charged 



TOTAL . 



Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 



Violent crime' ,. 
Property crime^ 



Crime Index total^ 



Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property, buying, receiving, 

possessing 

Vandalism 

Weapons; carrying, possessing, etc. 



Prostitution and commercialized vice 
Sex offenses (except forcible rape and 

prostitution) 

Drug abuse violations 

Gambling 

OlTenses 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 



Numtxrr of persons arrested 



Total all ages 



8,010,876 



15,10.1 
24,249 
112,961 
214,942 
.189,489 
922,484 
122,563 
15.093 



367,255 
1.449,629 



1,816,884 



8,830,834 



379,175 

57,176 

207,015 

6,213 

89,102 
197,506 
128,127 

71,401 

53,356 

435,260 

47,452 

40,448 

1,047,477 



14,907 

25,036 

114,815 

223,027 

350,768 

1,002,857 

89,064 

14,395 



377,785 
1,457,084 



Percent 
change 



+ 10.2 



-1.3 

+ 3.2 
+ 1.6 
+ 3.8 
-9.9 
+ 8.7 
-27.3 
^.6 



+ 2.9 
+ .5 



1,834.869 



419,017 

65,069 

233,216 

6,416 

93,271 
182,639 
134,315 

95,275 

67,224 

522,719 

34,078 

40,374 

1,377,540 



tJnder 18 years of age 



1.786,779 



1,450 

3,748 

36,407 

32,955 

189.489 

371,602 

59,836 

7,464 



74,560 
628,391 



■1.0 



+ 10.5 

+ 13.8 

+ 12.7 

+ 3.3 

+ 4.7 
-7.5 
+ 4.8 

+ 33.4 

+ 26.0 
+ 20.1 
-28.2 
-.2 
+ 31.5 



702.951 



1,484,493 



1,139 

3,612 

31,158 

28,565 

135,270 

322.905 

31,198 

5,431 



64,474 
494,804 



320,705 


358,133 


+ 11.7 


923,044 


871,919 


-5.5 


600,587 


593,708 


-1.1 


30,923 


27,631 


-10.6 


1,369,250 


1,720,258 


+ 25.6 


13,256 


7,132 


-46.2 


66,034 


61,288 


-7.2 


123,741 


91,875 


-25.8 



'Violent cnmes are offenses of murder, forcible rape, robbery, and aggravated assault. 
'Propeny crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 
^Includes arson. 



70,700 

8,228 

7,492 

750 

29,827 
106,873 
21,137 

2,943 

9,584 

94,707 

1,996 

1,963 

25,025 

113,087 

37,559 

105,561 

4,202 

252,419 

3,943 

66,034 

123,741 



559,278 



Percent 
change 



-16.9 



-21.4 
-3.6 
-14.4 
-13.3 
-28.6 
-13,1 
-A1.9 
-27.2 



-13.5 
-21.3 



18 years of age and over 



6,224,097 



13,653 
20.501 
76,554 
181,987 
200,000 
550,882 
62,727 
7,629 



292,695 
821,238 



-20.4 



68,554 

5,779 

20,065 

361 

22,594 
79,526 
19,354 

2,519 

10,415 

61,886 

969 

1,024 

21,030 

94,902 
25,164 
87,081 

2,159 
248,670 

2,228 
61,288 
91,875 



-3.0 

-29.8 

+ 167.8 

-51.9 

-24.2 

-25.6 

-8,4 

-14.4 



-34.7 
-51.5 
-47.8 
-160 

-161 
-33.0 
-17.5 
^8.6 

-1.5 
^3.5 

-7.2 
-25.8 



7,346.341 



13,768 

21,424 

83,657 

194,462 

215,498 

679,952 

57,866 

8,964 



313,311 
962,280 



1,113,933 



308,475 

48,948 

199,523 

5.463 

59,275 
90,633 
106,990 

68,458 

43,772 

340,553 

45,456 

38,485 

1,022,452 

207,618 

885,485 

495,026 

26,721 

1,116,831 

9,313 



1,275,591 



350,463 

59,290 

213,151 

6,055 

70,677 
103,113 
114,961 

92,756 

56,809 

460,833 

33,109 

39,350 

1,356,510 

263,231 

846,755 

506,627 

25,472 

1,471,588 

4,904 



Percent 
change 



hl8.0 



+ 4.5 
+ 9,3 
+ 6.9 
+ 7.7 

+ 23.4 
-7.7 

+ 17.5 



+ 7.0 
hl7.2 



rl4.5 



+ 13,6 

+ 21,1 

+ 6.8 

+ 10.8 

+ 19.2 

+ 13.8 

+ 7.5 

+ 35,5 

+ 29.8 
+ 35.3 
-27.2 
+ 2.2 
+ 32.7 

+ 26.8 
^.4 
+ 2.3 
-4.7 
+ 31.8 
-»7.3 



175 



Table 28. — ToUl Arrest Trends, Sex, 1979-1983 

[8,227 agencies: 1983 estimated population 169,975,000) 





Males 


Females 


Offense charged 


Total 


Under 18 


Total 


Under 18 


1979 


1983 


Percent 
change 


1979 


1983 


Percent 
change 


1979 


1983 


Percent 
change 


1979 


1983 


Percent 
change 


TOTAL 


6,747,304 


7,372,114 


+ 9.3 


1,423,097 


1,171,245 


-17.7 


U63,572 


1,458,720 


+ 15.4 


363,682 


313,248 


-13.9 






Murder and nonnegligent manslaughter 
Forcible rape 


13,055 
24,069 
104,604 
187.949 
364.462 
640.753 
111,654 
13,368 


12,930 

24,784 

106,180 

192,717 

326,501 

704,282 

81,047 

12,630 


-1.0 
+ 3.0 
+ 1.5 
+ 2.5 

-10.4 
+ 9.9 

-27.4 
-5.5 


1,302 

3,701 

33,939 

28,137 

176.953 

270,844 

53,723 

6.760 


1,020 

3,574 

29,081 

23,948 

126,138 

236,729 

27,853 

4,914 


-21.7 
-3.4 
-14.3 
-14.9 
-28.7 
-12.6 
^8.2 
-27,3 


2,048 

180 

8,357 

26,993 

25,027 

281,731 

10,909 

1,725 


1,977 

252 

8,635 

30,310 

24,267 

298,575 

8,017 

1,765 


-3.5 
+ 40.0 

+ 3.3 
+ 12,3 

-3,0 

+ 6,0 
-26.5 

+ 2.3 


148 

47 

2.468 

4.818 

12.536 

100,758 

6,113 

704 


119 

38 

2,077 

4,617 

9,132 

86,176 

3,345 

517 


-19.6 
-19.1 
-15.8 




-».2 




-27,2 




-14,5 




-45,3 


Arson 


-26,6 




329,677 
1,130,237 


336,611 
1,124,460 


+ 2.1 
-.5 


67,079 
508,280 


57,623 
395,634 


-141 

-22.2 


37,578 
319,392 


41,174 
332,624 


+ 9.6 
+ 4.1 


7,481 
120,111 


6,851 
99,170 


-8,4 


Property crime^ 


-174 




1,459,914 


1,461,071 


+ .1 


575,359 


453,257 


-21.2 


356,970 


373,798 


+ 4.7 


127,592 


106,021 


-16,9 








327,016 

39,240 

122,468 

4,630 

79,565 
180,709 
118,683 

23,417 

49,304 

376,513 

42,968 

36,442 

954,942 

273,875 

854,868 

506,158 

23,762 

1.169.537 

11.259 

51,996 

51,297 


357,254 

43,093 

139,701 

4,310 

82.560 
165.075 
123,879 

30,835 

62,157 

449,675 

30,266 

36,058 

1,222,224 

299,809 

795,362 

498,614 

24,864 

1,459,426 

6,062 

47,091 

38.790 


+ 9.2 

+ 9.8 

+ 14.1 

-6.9 

+ 3.8 
-8.7 
+ 4.4 

+ 31.7 

+ 26.1 
+ 19.4 
-29.6 
-1.1 
+ 28.0 

+ 9.5 
-7.0 
-1.5 

+4.6 

+ 24.8 

^6.2 

-9.4 

-24.4 


56,120 

5,840 

5,507 

592 

27.168 
98,483 
19.867 

1.051 

8,872 

79,229 

1,919 

1,228 

22,519 

88,775 
32,446 
87,549 

3,480 
203,800 

3,266 
51,996 
51,297 


53,594 

3,878 

15,750 

268 

20,421 
72,988 
18,103 

771 

9,751 

51,898 

920 

679 

18,365 

71,032 
21,232 
72,063 

1,813 
198,581 

1,800 
47,091 
38,790 


-4.5 

-33.6 

+ 186.0 

-54.7 

-24.8 

-25.9 

-8.9 

-26.6 

+ 9.9 
-34.5 
-52.1 
-44,7 
-18.4 

-20,0 
-34,6 
-17,7 
^7,9 

-2.6 
^449 

-9.4 
-24.4 


52,159 

17,936 

84,547 

1,583 

9,537 
16,797 
9,444 

47 984 

4,052 
58,747 
4,484 
4,006 
92.535 

46,830 
68,176 
94,429 

7.161 
199,713 

1.997 
14.038 
72.444 


61,763 

21,976 

93,515 

2,106 

10,711 
17,564 
10,436 

64,440 

5,067 

73,044 

3.812 

4.316 

155.316 

58,324 

76,557 

95,094 

2.767 

260.832 

1.070 

14.197 

53.085 


+ 18.4 
+ 22,5 
+ 10.6 
+ 33,0 

+ 12,3 

+ 4,6 

+ 10,5 

+ 34,3 

+ 25,0 
+ 24,3 
-15,0 
+ 7,7 
+ 67,8 

+ 24,5 
+ 12,3 
+ ,7 
-61.4 
+ 30,6 
^6,4 
+ 1.1 
-26.7 


14,580 

2,388 

1,985 

158 

2,659 
8,390 
1,270 

1.892 

712 

15,478 

77 

735 

2.506 

24,312 
5.113 
18.012 

722 
48.619 

677 
14,038 
72,444 


14,960 

1,901 

4,315 

93 

2.173 
6,538 
1,251 

1,748 

664 

9.988 

49 

345 
2.665 

23.870 
3.932 
15.018 

346 
50,089 

428 
14,197 
53,085 


+ 2,6 




-20.4 


Fraud 


+ 117.4 
-»1.1 




-18.3 




-22.1 


Weapons; carrying, possessing, etc 

Prostitution and commercialized vice 

prostitution) 


-1.5 

-7.6 

-6.7 
-35.5 




-36.4 


Offenses against family and children 


-53.1 
+ 6.3 


Liquor laws 

Drunkenness 


-1.8 
-23.1 
-16.6 


Vagrancy 

All other offenses (except traffic) 
Suspicion (not included in totals) 
Curfew and loitering law violations 
Runaways 


-52.1 
+ 3.0 

-36.8 
+ 1.1 

-26.7 



'Violent cnmes are offenses of murder, forcible rape, robbery, and aggravated assault. 
^Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 
'includes arson. 



176 



Table 29. — Total Arrest Trends, 1982-1983 

[8.7J2 agencies; 1983 estimated population 175,998,000] 



Offense charged 



Number of persons arrested 



Total all ages 



Percent 
change 



Under 15 years of age 



Percent 
change 



Under 18 years of age 



Percent 
change 



18 years of age and over 



Percent 
change 



TOTAL.. 



Murder and nonnegligent 

manslaughter 

Forcible rape 

Robbery 

Aggravated assattlt 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 



Violent crime .. 
Property crime^ 



Crime Index total 



Other assaults 

Forgery and counterfeiting. 

Fraud 

Embezzlement 

Stolen property; buying, receiving, 

possessing 

Vandalism 

Weapons; carrying, possessing, etc 

Prostitution and commercialized 

vice 

Sex offenses (except forcible rape and 

prostitution) 

Drug abuse violations 

Gambling 

Offenses against family and children.. 
Dnving under the influence 



Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) 

Suspicion (not included in totals) .. . 
Curfew and loitering law violations 
Runaways 



9,547,605 



9,262,657 



-3 



524,473 



507,487 



-3.2 



1,717,530 



1,554,090 



-9.5 



7,830,075 



7,708,567 



17,583 

25,887 

132,274 

243,906 

413,946 

1,091,408 

103,636 

15,987 



16,614 

27,262 

125,353 

235,669 

374,800 

1,045,804 

95,768 

14.990 



-5.5 
+ 1.4 
-5.2 
-3.4 
-9.5 
-A.2 
-7.6 
-6.2 



173 
1,090 
8.819 
9.001 
59,466 
149,908 
8,719 
3,567 



149 
1,199 
8,662 
9,194 
53,912 
149,467 
7,807 
3,688 



-13.9 

+ 100 

-1.8 

+ 2.1 

-93 

-.3 

-10-5 

+ 3.4 



1,498 

3,981 

35,116 

32.490 

164,522 

353,970 

37,360 

5,970 



1.244 

3,961 

33.204 

30.780 

143.488 

335,169 

32,801 

5,735 



-17.0 
-.5 

-5.4 

-5.3 
-12.8 

-5.3 
-12.2 

-3.9 



16,085 

22,906 

97,158 

211.416 

249,424 

737.438 

66,276 

10,017 



15,370 

23,301 

92.149 

204,889 

231,312 

710,635 

62,967 

9,255 



420,650 
1,624,977 



404,898 
1,531,362 



-3.7 
-5.8 



19,083 
221,660 



19,204 
214,874 



+ .6 
-3.1 



73,085 
561.822 



69,189 
517,193 



-5.3 
-7.9 



347,565 
1,063,155 



335,709 
1,014,169 



2,045.627 



1.936.260 



-5.3 



240.743 



234,078 



-2.8 



634.907 



586,382 



-7.6 



1,410,720 



1,349,878 



427,542 

76,156 

252,787 

7,015 

108,664 
190,254 
156,670 



107,948 

63,306 

538,587 

35,072 

41,215 

1,333,412 

374,882 

987,637 

733,323 

31,068 

1,852,771 

8,549 

74,183 

109,486 



435,273 

68,208 

241,184 

6,907 

102,728 
186,865 
147,498 



112,773 

70,116 

562,988 

35,323 

41,309 

1,405,876 

351,609 

916,796 

612,752 

29,865 

1,834,696 

7,954 

62,732 

100,889 



+ 1 

-10.4 
^.6 
-1.5 

-5.5 
-1.8 
-5.9 



+ 4.5 

+ 10.8 

+ 4.5 

+ .7 

+ .2 

+ 5.4 

-6.2 
-7.2 

-16.4 
-3.9 
-1.0 
-7.0 

-15.4 
-7.9 



25,495 

1.259 

7,054 

97 

7.755 

41.453 

5,230 



238 

3,935 

10,884 

151 

613 

371 

8,092 

2,973 

27,661 

812 

72,756 

801 

19,164 

47,737 



26,513 

1,078 

9,126 

75 

7,015 

41,865 

5,559 



262 

4,852 

10,723 

115 

437 

381 

7,822 

3.001 

24,503 

592 

67,721 

900 

17,272 

44.395 



+ 40 
-14.4 
+ 29.4 
-22.7 

-9.5 
+ 10 
+ 8.2 



+ 10.1 

+ 23.3 

-1.5 

-23.2 

-28,7 

+ 2.7 

-3.3 

+ .9 

-114 

-27.1 

-6.9 
+ 12.4 

-9.9 

-7.0 



70.957 

7.353 

18,459 

553 

27,044 
84,446 
21,907 



2,856 

10,254 

72,681 

1,230 

1,483 

24,179 

111,332 

32,037 

111,494 

3,444 

297,215 

2,450 

74,183 

109,486 



70,310 

6,117 

20,491 

434 

24,216 
81,810 
20,954 



2,645 

10,971 

66,455 

1,017 

1,195 

21,389 

96,919 

26,769 

89,275 

2,363 

260,757 

2,520 

62,732 

100,889 



-.9 
-16.8 
flO.9 
-21.5 

-105 
-3.1 
-AA 



-7.4 

+ 5.9 
-8.5 
-17.3 
-19.4 
-11.5 

-12.9 
-15.4 
-19.9 
-31.4 
-12.3 

+ 2.9 
-15.4 

-7.9 



355,575 

68.803 

234,318 

6,462 

81.620 
105,808 
134.763 



105.092 

53,042 

465,906 

33,842 

39.732 

1,309.233 

263,550 

955,600 

521,829 

27,624 

1,555,556 

6,099 



364,953 

62,091 

220,693 

6,473 

78,512 
105,055 
126,544 



110,128 

59,145 

496.533 

34,306 

40,114 

1,384.487 

254,690 

890,027 

523,487 

27,502 

1.573,939 

5,434 



-1.6 



^.4 
+ 1.7 
-5.2 
-3.1 
-7.3 
-3.6 
-5.0 
-7.6 



-3.4 
^.5 



^.3 



+ 2,4 
-9.8 
-5.8 
+ .2 

-3.8 

-.7 

-6.1 



+ 48 

+ 11.5 
+ 6,6 
+ 1.4 
+ 1.0 

+ 5.7 

-3.4 

-6.9 

-15.8 

-.4 
+ 1.2 
-10.9 



'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 
^Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 
^Includes arson. 



177 



Table 30. — Total Arrest Trends, Sex, 1982-1983 
[8,792 agencies; 1983 estimated population 175,998.000] 



Offense charged 



Total 



Percent 
change 



Percent 
change 



Percent 
change 



Percent 
change 



TOTAL. 



Murder and nonnegligent 

manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 
Arson 



Violent crime .. 
Property crime^ 



Crime Index total- 



Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, 

possessing ., 

Vandalism 

Weapons; carrying, possessing, etc. 



Prostitution and commercialized 

vice 

Sex offenses (except forcible rape and 

prostitution) 

Drug abuse violations 

Gambling 

Offenses against family and children ... 
Driving under the influence 



Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) . . 
Suspicion (not included in totals) 
Cuifew and loitering law violations . 
Runaways 



7,987,961 



7,723,276 



-3.3 



15,234 

26,637 

122,656 

212,267 

386,487 

770,295 

94,300 

13,944 



14,385 

27,030 
116,127 
203,714 
348.896 
736,442 

87,1 

13,200 



-5.6 
+ 1.5 
-5.3 
-4.0 
-9.7 
^.4 
-7.6 
-5.3 



376,794 
1.265,026 



361,256 
1,185,718 



^.1 
-6.3 



1,641,820 



1.546,974 



-5.8 



365,173 

51,349 

150,863 

4,845 

96,104 
172,423 
144,376 



31,032 

58,544 

465,037 

31,314 

36,389 

1,188,997 

317,539 

904.506 

626,274 

27,264 

1,570,204 

7,295 

58,082 

45,826 



370.935 

45,334 

144,337 

4,655 

91,004 
168,671 
136,025 



33,481 

64.802 

483,781 

31,322 

36,722 

1,247,790 

294,468 

836,847 

514,094 

26,888 

1.554,324 

6,739 

48,270 

42.552 



+ 1.6 

-11.7 

-4.3 

-3.9 

-5.3 
-2.2 
-5.8 



+ 7.9 

+ 10.7 

+ 4.0 

O 

+ .9 

+ 4.9 

-7.3 
-7.5 

-17.9 
-1.4 
-1.0 
-7.6 

-16.9 
-7.1 



1,363,178 



1,374 

3,920 

32,769 

27,319 

153,623 

261.140 

33,258 

5,277 



65,382 
453,298 



518,u80 



55,745 

5,016 

14,502 

402 

24,543 
77,551 
20,441 



867 

9,567 
60,943 

1,184 

938 

21,380 

85,422 

27,429 

93,833 

2,862 

237,965 

1,983 

58,082 

45,826 



1,226,188 



-10.0 



1,559,644 



1,539,381 



-1.3 



354,352 



1,109 

3,924 

31,023 

25,826 

133,748 

246,616 

29,272 

5,215 



-19.3 
+ .1 
-5.3 
-5.5 

-12.9 
-5.6 

-12.0 
-1.2 



2.349 

250 

9.61 

31,639 

27,459 

321,113 

9,336 

2,043 



2,229 

232 

9,226 

31,955 

25,904 

309,362 

8,588 

1,790 



61,882 
414,851 



-5.4 
-8.5 



43,856 
359,951 



43,642 
345,644 



476,733 



403,807 



389,286 



55,034 

4,135 

15,941 

314 

21,981 
74,899 
19,620 



830 

10,267 

55,710 

967 

765 

18,679 

72,798 

22,659 

73,957 

2,009 

208,068 

2,018 

48,270 

42,552 



'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 
^Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 
^Includes arson. 
^Less than one-tenth of 1 percent. 



-1.3 
-17.6 

+ 9.9 
-21.9 

-10.4 
-3.4 
^.0 



-4.3 

+ 7.3 
-8.6 
-18.3 
-18.4 
-12.6 

-14.8 
-17.4 
-21.2 
-29.8 
-12.6 

+ 1.8 
-16.9 

-7.1 



62,369 

24,807 

101,924 

2,170 

12,560 
17,831 
12,294 



76,916 

4,762 

73,550 

3,758 

4,826 

144,415 

57,343 

83,131 

107,049 

3,804 

282,567 

1,254 

16,101 

63,660 



64,338 

22,874 

96,847 

2,252 

11,724 
18,194 
11,473 



79,292 

5,314 

79,207 

4,001 

4,587 

158,086 

57,141 

79,949 

98,668 

2,977 

280,372 

1,215 

14,462 

58,337 



-5.1 
-7.2 
^.1 
+ 1.0 
-5.7 
-3.7 
-8.0 
-12.4 



124 

61 

2,347 

5,171 

10,899 

92,830 

4,102 

693 



-.5 
^.0 



7,703 
108,524 



-3.6 



116,227 



+ 3.2 
-7.8 
-5.0 
+ 3.8 

-6.7 
+ 2.0 
-6.7 



+ 3.1 

+ 11.6 
+ 7.7 
+ 65 
-5.0 
+ 9.5 

-.4 

-3.8 

-7.8 

-21.7 

-.8 

-3.1 

-10.2 

-8.4 



15,222 

2.337 

3,967 

151 

2,501 
6,895 
1,466 



1,989 

697 

11,738 

46 

545 

2,799 

25,910 

4,608 

17,661 

582 

59.250 

467 

16.101 

63,660 



327,902 



135 

37 

2,181 

4,954 

9,740 

88,553 

3,529 

520 



7,307 
102,342 



109,649 



15,276 

1,982 

4,550 

120 

2,235 
6,911 
1.334 



1,815 

704 

10,745 

50 

430 

2,710 

24,121 
4,110 
15,318 

354 
52,689 

502 
14,462 
58,337 



-6.9 
-10.8 
-13.3 
-39.2 
-11.1 

+ 7.5 
-10.2 

-8.4 



178 



Table 31. — Total Arrests, Distributioii by Age, 1983 

[10,827 agencies; 1983 estimated population 200.692,000] 



Offense charged 



Total 
all 



Ages 

under 

15 



under 
18 



Ages 
18 and 
over 



Age 



Under 
10 



TOTAL 

Percent distribution' 

Murder and nonnegligent 

manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 

Violent crime^ 

Percent distribution' 

Property crime^ 

Percent distribution' 

Crime Index total' 

Percent distribution' 

I 

Dther assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

stolen property; buying, receiving, 

possessing 

Vandalism 

iVeapons; carrying, possessing. 

etc 

'Prostitution and commercialized 

vice 

5ex offenses (except forcible rape 

and prostitution) 

Drug abuse violations 

3ambling 

Dffenses 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... 



10J87,309 
100.0 



18,064 

30,183 

134,018 

261,421 

415,651 

1,169,066 

105.514 

17.203 



443.686 

100.0 

1,707.434 

100.0 



2.151.120 
100.0 



481.615 

74.508 

261.844 

7.604 

112,424 
212,629 

160,534 



119,262 

77,119 
616,936 

38.403 

46.111 
1.613.184 

427,230 

977,924 

678,917 

31,262 

2,005,797 
12,262 

68,148 
112,476 



564,983 

5.5 



1,725,746 
16.8 



8,561,563 
83.2 



47,067 
.5 



142,304 
1.4 



375,612 
3.7 



305,809 
3.0 



395,499 
3.8 



459,455 
4.5 



519,397 
5.0 



546,027 
5.3 



533,388 
5.2 



157 

1,332 

9,203 

10,148 

59,400 

168,095 

8,628 

4,113 



1,345 

4,388 

35,219 

33,730 

159,192 

377,435 

36,497 

6,457 



16,719 

25,795 

98,799 

227,691 

256.459 

791.631 

69.017 

10.746 



64 

317 

703 

4,738 

15,376 

169 

1.155 



20 

274 

1.891 

2.570 

15.503 

50.660 

1.132 

1.195 



129 

994 

6,995 

6,875 

39,159 

102,059 

7,327 

1.763 



211 

855 

6.794 

6.003 

29.888 

66.151 

8.354 

863 



400 

1.026 

9.063 

7.900 

33.848 

70.870 

9.781 

765 



577 
1.175 
10.159 
9.679 
36,056 
72,319 
9,734 
716 



874 

1,408 

10,411 

10,900 

34,472 

67,961 

8,307 

699 



928 

1,434 

9,617 

11,759 

28,985 

60,828 

7.092 

706 



869 

1.550 

8.598 

12,093 

23,498 

52,555 

6,022 

611 



20,840 

4.7 

240,236 

14.1 



74,682 

16.8 

579,581 

33.9 



369,004 

83.2 

1,127,853 

66.1 



1,092 

.2 

21,438 

1,3 



4,755 

1.1 

68,490 

4.0 



14,993 

3.4 

150,308 



13,863 

3.1 

105,256 

6.2 



18,389 

4.1 

115,264 

6.8 



21,590 

4.9 

118,825 

7.0 



23,593 

5.3 

111,439 

6.5 



23,738 
5.4 

97,611 
5.7 



23,110 
5.2 

82,686 
4.8 



261,076 
12.1 



654,263 
30.4 



1,496,857 
69.6 



22,530 
1.0 



73,245 
3.4 



165,301 

7.7 



119,119 
5.5 



133,653 
6.2 



140,415 
6.5 



135,032 
6.3 



121,349 
5.6 



105,796 
4.9 



29,817 

1,191 

9,205 

78 

7,740 
47.949 

6.110 



270 

5.323 
11,819 

127 

476 
522 

8,990 

3,191 

27,262 

617 

74,661 
1,004 

18,721 
48,834 



78,487 

6,738 

20,874 

459 

26,564 
93,157 

22,492 



2,837 

12,088 

72.687 

1.082 

1.310 
24,997 

114.159 

28.833 

98,082 

2,539 

280,646 
2,828 

68,148 
112,476 



403,128 

67,770 

240,970 

7,145 

85,860 
119,472 

138,042 



116,425 

65,031 

544,249 

37,321 

44,801 
1,588,187 

313,071 

949,091 

580,835 

28.723 

1.725.151 
9.434 



2.586 

32 

383 



338 
7.167 



252 



421 
173 



189 
113 

107 

409 

2.092 

27 

7,408 
149 

686 
1,976 



7,945 

221 

1,762 

13 

1,715 
15,673 

1,261 



24 

1,325 

1,313 

9 

84 
55 

572 

223 

6,591 

102 

17,451 
241 

3,556 
8,923 



19,286 

938 

7,060 

57 

5,687 
25,109 

4,597 



233 

3,577 

10,333 

110 

203 
354 

8,311 

2,559 

18.579 

488 

49.802 
614 

14.479 
37.935 



14.007 

1.114 

6.907 

63 

5.153 
14.951 

4,115 



312 

2.265 

12.697 

154 

202 
974 

15,716 

4,034 

17,182 

482 

41,569 
548 

14,424 
29,821 



16.306 

1.736 

1.786 

109 

6.224 
14.953 

5.410 



729 

2.141 

20.225 

298 

282 
5.938 

34.211 

7.486 

23.435 

657 

77,282 
652 

18.405 
23.581 



18.357 

2.697 

2,976 

209 

7,447 
15,304 

6,857 



1,526 

2,359 

27,946 

503 

350 
17,563 

55,242 

14,122 

30,203 

783 

87,134 
624 

16,598 
10,240 



19,239 

3,387 

5.551 

307 

7.978 
12.637 

8.051 



4.250 

2.654 

36.285 

657 

1.140 
44.033 

65,151 

27,821 

37,251 

1,422 

105,856 
695 



21.426 

4.062 

7.736 

392 

7,557 
10,842 

8,059 



7,260 

2,946 

40,511 

813 

1,372 
63,841 

56,113 

36,220 

39,494 

1,332 

114,032 
670 



22,598 

4,054 

9,402 

357 

6,754 
9,686 

7,718 



8.899 

3.092 

41.327 

949 

1.567 
73.719 

43.286 

39.332 

39.166 

1.289 

113,768 
629 



See footnotes at end of table. 



179 



Table 31. — Total Arrests, Distribution by Age, 1983 — Continued 



Offense charged 



Age 



TOTAL 

Percent distribution' . 



Murder and nonnegligent 

manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 



Violent crime 

Percent distribution' , 

Property crime' 

Percent distribution'. 



Crime Index total''... 
Percent distribution' 



Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, 

possessing 

Vandahsm 

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 



498,177 
4.8 



922 

1,623 

7.215 

12,688 

17,764 

43,705 

4,831 

575 



22,448 
5.1 

66,875 
3.9 



89,323 
4.2 



24,009 

4,174 

11,632 

387 

5,710 
8,019 

7,793 



10,894 

3,044 

39,899 

1,180 

2,173 
85,478 

14,870 

43,509 

37,352 

1,467 

106,699 
565 



4«9,814 
4.6 



433,025 

4.2 



1,736,797 
16.9 



1,155,532 
11.2 



730,066 

7.1 



480,983 

4.7 



325,604 
3.2 



244,728 
2.4 



173,611 

1.7 



107,587 
1.0 



869 

1,542 

6,446 

12,252 

15,691 

39,507 

4,267 

526 



814 

1,453 

5,841 

11,547 

13,600 

36,629 

3,728 

456 



3,526 

5,772 

21,252 

49,608 

49,858 

151,919 

13,492 

2,174 



2,561 

3,785 

11,676 

33,813 

26,536 

103,166 

7,353 

1,429 



1,586 

2,440 

5,131 

22,427 

12,436 

60,627 

3,942 

1,049 



1,008 
1,348 
2,240 

14,433 
6,155 

38,753 

2,115 

733 



667 

713 

1,187 

8,901 

3,111 

25,935 

1,227 

432 



464 

481 

636 

6,105 

2,057 

20,949 

644 

332 



343 

325 

367 

4,012 

1,121 

16,121 

421 

188 



21,109 
48 

59,991 
3.5 



19,655 
44 

54,413 
3.2 



80,158 

18.1 

217,443 

12.7 



51,835 

11.7 

138,484 

8.1 



31,584 
7.1 

78,054 
46 



19,029 
43 

47,756 
2.8 



11,468 
2.6 

30,705 
1.8 



7,686 

1.7 

23,982 

1.4 



5,047 

11 

17,851 

1.0 



81,100 
3.8 



74,068 
3.4 



297,601 
13.8 



190,319 



109,638 
5.1 



66,785 
3.1 



42,173 
2.0 



31,668 
1.5 



22,898 
1.1 



23,251 

3,878 

11,981 

385 

4,964 

7,208 

7,527 



10,558 

3,033 

38,466 

1,239 

2,115 
82,828 

12,111 

42,682 

34,774 

1,327 

99,783 
604 



21,765 

3,691 

11,723 

387 

4,545 
6,412 

6,997 



8,700 

2,924 

35,287 

1,223 

2,083 
77,960 

9,753 
40,298 
31,197 

1,225 

92,311 
476 



91,094 

16,444 

54,669 

1,442 

17,105 
23,517 

29,063 



29,647 

12,614 

131,853 

5,614 

10,685 
324,609 

31,668 

171,528 

117,146 

5,536 

362,839 
2,123 



59,886 

10,908 

44,294 

1,107 

10,484 
13,739 

19,437 



12,931 

9,509 

73,518 

4,685 

8,766 
229,152 

19,232 

130,572 

73,314 

4,390 

237,892 
1,397 



37,823 

6,048 

30,720 

828 

6,104 
7,836 

12,487 



5,638 

7,272 
33,812 
4,165 

5,999 
163,291 

12,326 
96,112 

43,482 
3,058 

142,672 
755 



23,209 

3,109 

18,349 

488 

3,458 
4,445 

8,246 



2,781 

4,891 
15,303 
3,827 

3,469 
117,023 

9,079 
76,002 
28,668 

2,199 

89,282 
370 



14,051 

1,907 

10,561 

271 

2,057 
2,520 

5,254 



1,694 

3,099 
7,449 
3,465 

1,786 
83,993 

7,031 
60,993 
19,113 

1,438 

56,485 
264 



9.220 

1,013 

6,516 

224 

1,347 
1,630 

3,832 



1,096 

2,471 
4,303 
2,876 

944 
63,533 

5,569 
53.223 
15,256 

1,123 

38,730 
154 



5,735 
565 

3,627 
107 

863 
1,047 

2,609 



836 

1,836 
2,737 
2,320 

503 
45,500 

4,083 

40,445 

11,465 

759 

25,600 
76 



189 
188 
214 
2,528 
594 
11,254 
209 
113 



3,119 

.7 

12,170 

.7 



15,289 
.7 



3,358 

288 

1,824 

67 

495 
569 

1,550 



552 

1,264 
1,758 
1,529 

239 
27,457 

2,595 

25,309 

7,957 

384 

15,052 
51 



'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. 



180 



able 32. — Male Arrests, Distribution by Age, 1983 

0,827 agencies; 1983 estimated population 200,692.000] 





Total 
all 
ages 


Ages 

under 

15 


Ages 

under 

18 


Ages 
18 and 
over 


Age 


Offense charged 


Under 
10 


10-12 


13-14 


15 


16 


17 


18 


19 


20 


21 


TOTAL 


8,581,823 
100.0 


432J53 
5.0 


1,359,087 
15.8 


7,222,736 
84.2 


39,547 
.5 


114,217 
1.3 


278,489 
32 


229,626 

2.7 


314,079 

3.7 


383,129 
4.5 


443,398 

52 


463,803 
5.4 


449,682 
5.2 


430,257 




5.0 






lurder and nonnegligent 


15.653 

29,883 

124,159 

226,088 

387,504 

823,817 

96,108 

15.099 


127 
1,309 
8,475 
8,266 
54,487 
123,658 
7.309 
3.717 


1,201 

4,336 

32,914 

28.261 

148.519 

277.383 

32.581 

5.830 


14,452 

25,547 

91,245 

197.827 

238.985 

546.434 

63.527 

9.269 


7 

63 

294 

629 

4,255 

12,511 

158 

1,090 


15 

268 

1,771 

2,166 

14,163 

38,014 

1,014 

1,075 


105 

978 

6,410 

5,471 

36,069 

73,133 

6,137 

1,552 


187 

849 

6,329 

4,846 

27,870 

47,421 

7,334 

769 


364 

1.014 

8.501 

6,675 

31,944 

51,971 

8,882 

694 


523 

1,164 

9,609 

8.474 

34,218 

54,333 

9,056 

650 


796 

1,395 

9,814 

9,571 

32,828 

50,882 

7,669 

632 


838 

1.415 

9.036 

10,204 

27,473 

44,892 

6,585 

647 


780 

1.532 

7.972 

10,554 

22,227 

37,518 

5,591 

549 


774 




1,571 




7,245 




10,615 


urglary 


18,842 
33,242 




4,790 


json 


551 








395.783 

100.0 

1,322,528 

100.0 


18.177 

4.6 

189,171 

14.3 


66,712 

16.9 

464.313 

35.1 


329,071 
83.1 

858,215 
64.9 


993 

.3 

18,014 

1.4 


4,220 

1.1 

54,266 

4.1 


12,964 

3.3 

116,891 

8.8 


12,211 
3.1 

83,394 
6.3 


16,554 
4.2 

93,491 
7.1 


19,770 
5.0 

98,257 
7.4 


21,576 
5.5 

92,011 
7.0 


21,493 
5.4 

79,597 
6.0 


20,838 
5.3 

65,885 
5.0 


20,205 


Percent distribution' 


5.1 




57,425 


Percent distribution' 


4.3 






Crime Index total^ 


1,718,311 
100.0 


207,348 
12.1 


531,025 
30.9 


1,187,286 
69.1 


19,007 
1.1 


58,486 
3.4 


129,855 
7.6 


95,605 
5.6 


110,045 
6.4 


118,027 
6.9 


113,587 
6.6 


101,090 
5.9 


86,723 
5.0 


77.630 




4.5 








410,971 

49,588 

156,511 

5,141 

99,580 
192,174 

148,002 

35,485 

71,369 

530,677 

34,209 

40,999 
1,432.154 

357.338 

892,642 

569,069 

28,081 

1,699,605 

10,464 

52,099 
47,354 


22,585 

792 

7,132 

68 

6,924 
44,000 

5,681 

81 

4,958 

9,060 

118 

261 
420 

5,254 

2,345 

21.560 

501 

57,513 

783 

13.767 
21.102 


61.457 

4.528 

16.198 

332 

24,062 
85,379 

21,061 

891 

11,301 

60,908 

1,027 

839 
21,805 

85,240 
24,351 
81.030 

2,153 
223,795 

2,252 

52,099 
47,354 


349,514 

45,060 

140,313 

4,809 

75,518 
106,795 

126,941 

34,594 

60,068 

469.769 

33.182 

40.160 
1,410.349 

272,098 

868.291 

488.039 

25,928 

1.475,810 

8,212 


2,203 

24 

214 

8 

304 
6,687 

240 

5 

375 

149 

8 

99 
97 

88 

364 

1,775 

21 

5,755 

108 

571 
1,445 


6,248 

155 

1,404 

11 

1,544 
14,507 

1,205 

10 

1.236 
949 

7 

52 
43 

342 

172 

5,403 

83 

14,287 

187 

2,768 
5.118 


14,134 

613 

5,514 

49 

5,076 
22,806 

4,236 

66 

3,347 

7,962 

103 

110 
280 

4,824 

1,809 

14,382 

397 

37,471 

488 

10,428 
14,539 


10.533 

758 

5,363 

48 

4.665 
13.576 

3.828 

86 

2,136 

10,417 

150 

119 
789 

10,328 
3,109 
13,801 

406 
31.406 

404 

10,657 
11.442 


13,025 

1,126 

1,426 

76 

5,656 
13,677 

5,049 

237 

1,996 

17,203 

281 

197 
5,109 

25,494 
6,360 
19,654 

572 
62,147 

540 

14,223 
9,986 


15,314 

1,852 

2,277 

140 

6,817 
14,126 

6,503 

487 

2,211 

24,228 

478 

262 
15,487 

44,164 
12,537 
26,015 

674 
72,729 

525 

13,452 
4,824 


16.332 

2,312 

3,722 

186 

7.228 
11.715 

7,592 

962 

2,405 

31,682 

604 

968 
38,941 

55,146 
25,366 
32.105 
1.238 
90.694 
613 


18.213 

2.745 

4,836 

233 

6,808 
10,004 

7,507 

1.545 

2,613 

35,221 

740 

1,195 
56,430 

48,625 
32,946 
33,504 
1.114 
97.854 
580 


19.383 

2,698 

5,592 

215 

6,044 
8,822 

7,205 

1,866 

2,738 

35,784 

864 

1,335 
65,269 

37,912 
35,716 
32,725 
1,090 
97,159 
542 


20,195 




2,676 




6,267 




214 


olen property; buying, receiving, 


5,406 




7,933 


eapons; carrying, possessing, 


7,324 


ostitution and commercialized 


1,953 


:x offenses (except forcible rape 


2,662 




35,224 




987 


fTenses against family and 


1,545 




74,224 




16,013 




40,832 




32,872 




1,245 


11 other offenses (except traffic) 

iispicion 

urfew and loitering law 
violations 


94,573 
482 


















See footnotes at end of table. 































181 



Table 32. — Male Arrests, Distribution by Age, 1983 — Continued 



offense charged 



Age 



TOTAL 

Percent distributionV 



Murder and nonnegligent 

manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 



Violent crime^ 

Percent distnbution' 

Property crime^ 

Percent distribution' . 



Crime Index total* 
Percent distribution' 



Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, 

receiving, possessing 

Vandalism 

Weapons; carrying, possessing, 

etc 



Prostitution and commercialized 



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 



415,450 



812 

1,611 

6.639 

11,064 

16,657 

30,484 

4,439 

505 



20.126 
5.1 

52,085 
3.9 



72,211 
4.2 



20,781 

2,687 

6,613 

274 

5,005 

7,227 

7,211 



2,056 

2,644 

34,265 

1,076 

1,892 
75,628 

13,158 
39,465 
30,779 
1,253 
90,736 
489 



390,915 
4.6 



360,241 
4.2 



1,449,429 
16.9 



975,117 
11,4 



617,497 

7.2 



408,828 
4.8 



279,686 
3,3 



212,771 
2,5 



151,672 
1,8 



772 

1,533 

5,914 

10,608 

14,611 

27,408 

3,887 

461 



709 

1,436 

5,349 

9,996 

12,605 

25,054 

3,417 

384 



3,062 

5,716 

19,327 

42,860 

45,912 

103,969 

12,324 

1,877 



2,154 

3,744 

10,756 

29,327 

24,341 

71,445 

6,769 

1,197 



1,317 
2,417 
4,722 
19,521 
11,269 
41,212 
3,616 
866 



840 

1,336 

2,085 

12,484 

5,522 

25,540 

1,929 

615 



537 

709 

1,081 

7,703 

2,803 

16,639 

1,147 

357 



393 

479 

610 

5,364 

1,852 

13,061 

597 

297 



290 

325 

343 

3,548 

1,008 

9,824 

397 

155 



18,827 
4.8 

46,367 
3.5 



17,490 
4.4 

41,460 
3.1 



70,965 

17.9 

164,082 

12.4 



45,981 

11.6 

103,752 

7.8 



27,977 
7.1 

56,963 
4.3 



16,745 
4.2 

33,606 
2.5 



10,030 
2.5 

20,946 
1.6 



6,846 

1.7 

15,807 

1.2 



4,506 

1.1 

11,384 

.9 



65,194 
3.8 



58,950 
3.4 



235,047 
13.7 



149,733 
8.7 



84,940 
4.9 



50,351 
2.9 



30,976 
1.8 



22.653 
1.3 



15.890 
.9 



20.071 

2,423 

6,866 

262 

4,346 
6.440 

6,873 



2,098 

2,661 

33,158 

1,086 

1,826 
73,390 

10,688 
38,784 
28,171 
1,161 
84,888 
529 



18,844 

2,414 

6,511 

256 

4,011 
5,664 

6,399 



1,926 

2,573 

30,344 

1,095 

1,831 
68,997 

8,573 
36,273 
25,321 

1,069 

78,775 

415 



79,260 

10,517 

30,795 

979 

14,700 
20,790 

26,553 



8,125 

11,453 

1 12,966 

4,948 

9,525 
287,844 

27,750 

155,323 

97,232 

4,916 

308,883 

1,823 



52,439 

7,440 

24,793 

776 

9,076 
12,122 

17,737 



5,108 

8,860 

63,783 

4,096 

7,988 
204,005 

16,799 

118,982 

62,205 

4,065 

203,895 

1,215 



32,962 

4,083 

17,453 

563 

5,341 
6,804 

11,467 



3,150 

6,984 

29,273 

3,644 

5,479 
144,469 

10,603 

87,628 

37,179 

2,878 

121,929 

668 



20,172 

2,185 

10,810 

339 

3,030 
3,796 

7,505 



2,028 

4,740 
13,197 
3,356 

3,193 
103.003 

7,854 
69,465 
24,664 

2,100 

76,708 

332 



12,169 

1,326 

6,655 

192 

1,824 
2,152 

4,813 



1,356 

3,014 
6,466 
3,098 

1,647 
74,455 

6,185 
56,366 
16,612 

1,347 

48,798 

235 



8.011 
781 

4,365 
155 

1,198 
1,425 

3,505 



958 

2,419 

3,747 
2,560 

871 
57,125 

4,962 
49,852 
13,276 

1,080 

33,690 

138 



5,001 

412 

2,556 

86 

756 
899 

2,395 



696 

1,782 
2,363 
2,091 

468 
41,356 

3,655 

38,107 

9.893 

711 

22,484 

71 



93,788 
1.1 



166 
186 
207 

2,255 
539 

6,672 
195 
99 



2,814 
.7 

7,505 
.6 



10,319 
.6 



2.972 

224 

1,384 

50 

434 
499 

1,449 



409 

1,228 
1,498 
1.385 

221 
25,259 

2,371 

24,034 

6,481 

341 

13,191 

39 



'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. 



182 



Table 33. — Female Arrests, Distribution by Age, 1983 

[10,827 agencies; 1983 estimated population 200,692,000] 



Offense charged 



Total 
all 

ages 



Ages 

under 

15 



Ages 

under 

18 



Ages 
18 and 
over 



Age 



Under 
10 



TOTAL 

Percent distribution* 

Murder and nonnegligent 

manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 

Violent crime^ 

Percent distribution' 

Property crime^ 

Percent distribution' 

Crime Index total' 

Percent distribution' 

Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, 

possessing 

Vandalism 

Weapons; carrying, possessing, 

etc 

Prostitution and commercialized 

vice 

Sex offenses (except forcible rape 

and prostitution).... 

Drug abuse violations 

Gambling 

Offenses against family and 

children 

Driving under the influence 

Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) 

Suspicion 

Curfew and loitering law 

violations 

Runaways 



1,705,486 
100.0 



2.411 

300 

9.859 

35,333 

28,147 

345.249 

9,406 

2,104 



47,903 

100.0 

384,906 

100.0 



432,809 
100.0 



70,644 

24,920 

105,333 

2,463 

12,844 
20,455 

12,532 



83,777 

5,750 
86,259 
4,194 

5,112 
181,030 

69,892 

85,282 

109,848 

3,181 

306,192 

1.798 

16,049 
65,122 



132,730 
7.8 



366,659 
21.5 



1,338,827 
78.5 



7,520 



28,087 
1.6 



97,123 

5.7 



76,183 
4.5 



81,420 
4.8 



76,326 
4.5 



75,999 
4.5 



82,224 
4.8 



83,706 
4.9 



30 

23 

728 

1,882 

4,913 

44,437 

1,319 

396 



144 

52 

2,305 

5,469 

10,673 

100,052 

3,916 

627 



2,267 

248 

7,554 

29,864 

17,474 

245,197 

5,490 

1,477 



1 

1 

23 

74 

483 

2,865 

11 

65 



5 

6 

120 

404 

1,340 

12,646 

118 

120 



24 

16 

585 

1,404 

3,090 

28,926 

1,190 

211 



24 

6 

465 

1,157 

2,018 

18,730 

1.020 

94 



36 

12 

562 

1,225 

1,904 

18,899 

899 

71 



54 

11 

550 

1,205 

1,838 

17,986 

678 

66 



78 

13 

597 

1,329 

1,644 

17,079 

638 

67 



90 

19 

581 

1,555 

1,512 

15,936 

507 

59 



89 

18 

626 

1,539 

1,271 

15,037 

431 

62 



2,663 

5.6 

51,065 

13.3 



7,970 

16.6 

115,268 

29.9 



39,933 

83.4 

269,638 

70.1 



99 

.2 

3,424 

.9 



535 

1.1 

14,224 

3.7 



2,029 

4.2 

33,417 

8.7 



1,652 

3.4 

21,862 

5.7 



1,835 

3.8 

21,773 

5.7 



1,820 

3.8 

20,568 

5.3 



2,017 

4.2 

19,428 

5.0 



2,245 

4.7 

18,014 

4.7 



2,272 

4.7 

16,801 

4.4 



53,728 
12.4 



123,238 
28.5 



309,571 
71.5 



3,523 



14,759 

3.4 



35,446 
8.2 



23,514 
5.4 



23,608 

5.5 



22,388 
5.2 



21,445 
5.0 



20,259 
4.7 



19.073 
44 



7,232 

399 

2,073 

10 

816 
3,949 

429 



189 

365 

2,759 

9 

215 
102 

3,736 
846 

5,702 

116 

17,148 

221 

4,954 
27,732 



17,030 

2,210 

4,676 

127 

2,502 
7,778 

1,431 



1,946 

787 
11,779 

55 

471 
3,192 

28,919 
4,482 
17,052 

386 
56,851 

576 

16,049 
65,122 



53,614 

22,710 

100,657 

2,336 

10,342 
12,677 

11,101 



81,831 

4,963 

74,480 

4,139 

4,641 

177,838 

40,973 

80,800 

92,796 

2,795 

249,341 

1,222 



383 

8 

169 



34 
480 



90 
16 

19 

45 

317 

6 

1,653 

41 

115 
531 



1,697 

66 

358 

2 

171 
1,166 

56 



89 
364 

2 

32 
12 

230 
51 

1,188 
19 

3,164 
54 

788 
3,805 



5,152 

325 

1,546 



611 
2,303 



361 



167 

230 

2,371 

7 

93 

74 

3,487 

750 

4,197 

91 

12,331 

126 

4,051 
23,396 



3,474 

356 

1,544 

15 

488 
1,375 

287 



226 

129 

2.280 

4 

83 
185 

5,388 

925 

3,381 

76 

10,163 

144 

3,767 
18,379 



3,281 

610 

360 

33 

568 
1,276 

361 



492 

145 

3,022 

17 

85 
829 

8,717 

1,126 

3,781 

85 

15,135 

112 

4,182 
13,595 



3,043 

845 

699 

69 

630 
1,178 

354 



1,039 

148 

3,718 

25 



2.076 

11,078 

1,585 

4.188 

109 

14,405 

99 

3,146 
5,416 



2,907 

1,075 

1,829 

121 

750 
922 



3,288 

249 

4,603 

53 

172 
5,092 

10,005 
2,455 
5,146 
184 
15,162 
82 



3,213 

1.317 

2,900 

159 

749 
838 

552 



5,715 

333 
5,290 

73 

177 
7,411 

7,488 
3,274 
5,990 
218 
16,178 
90 



3,215 

1,356 

3,810 

142 

710 
864 

513 



7,033 

354 

5.543 

85 

232 
8,450 

5,374 
3,616 
6,441 
199 
16,609 
87 



See footnotes at end of table. 



183 



Table 33. — Female Arrests, Distribution by Age, 1983 — Continued 





Age 


Oflense charged 


22 


23 


24 


25-29 


30-34 


35-39 


4<M4 


45-49 


50-54 


55-59 


60-64 


65 and 
over 


TOTAL 


82,727 


78,899 
4.6 


72,784 
4J 


287,368 
16.8 


180.415 
10.6 


112,569 
6.6 


72,155 
4J 


4SJJ18 

2.7 


314>57 
1.9 


214>39 
U 


13,799 
.8 


13,871 


Percent distribiition' 


.8 






Murder and noimegligent 


110 

12 

576 

1,624 

1,107 

13,221 

392 

70 


97 

9 

532 

1,644 

1,080 

12,099 

380 

65 


105 

17 

492 

1,551 

995 

11,575 

311 

72 


464 

56 

1,925 

6,748 

3,946 

47,950 

1,168 

297 


407 

41 

920 

4,486 

2,195 

31,721 

584 

232 


269 

23 

409 

2,906 

1,167 

19,415 

326 

183 


168 

12 

155 

1.949 

633 

13,213 

186 

118 


130 

4 

106 

1,198 

308 

9,296 

80 

75 


71 

2 

26 

741 

205 

7,888 

47 

35 


53 

24 
464 
113 
6,297 
24 
33 


23 
2 
7 
273 
55 
4,582 
14 
14 


22 




4 


Robbery 


9 




252 




51 




6,293 




12 




15 








2,322 

4.8 

14,790 

3.8 


2,282 

4.8 

13,624 

3.5 


2,165 

4.5 

12,953 

3.4 


9,193 

19.2 

53,361 

13.9 


5,854 

12.2 

34,732 

9.0 


3,607 

7.5 

21,091 

5.5 


2,284 

4.8 

14,150 

3.7 


1,438 
3.0 

9,759 
2.5 


840 

1.8 

8,175 

2.1 


541 

1.1 

6,467 

1.7 


305 

.6 

4,665 

1.2 


287 


Percent distribution' 


.6 




6,371 




1.7 








17,112 
4.0 


15,906 

3.7 


15,118 

3.5 


62,554 
14.5 


40,586 
9.4 


24,698 
5.7 


16,434 
3.8 


11,197 
2.6 


9,015 
2.1 


7.008 
1.6 


4,970 
1.1 


6,658 




1.5 








3,228 

1,487 

5,019 

113 

705 
792 

382 

8,838 

400 

5,634 

104 

281 
9,850 

1,712 

4,044 

6,573 

214 

15,963 

76 


3,180 

1,455 

5,115 

123 

618 
768 

654 

8,460 

372 

5,308 

153 

289 
9,438 

1,423 

3,898 

6,603 

166 

14,895 

75 


2,921 

1,277 

5,212 

131 

534 
748 

598 

6,774 

351 

4,943 

128 

252 
8,963 

1,180 

4,025 

5,876 

156 

13,536 

61 


1 1,834 

5,927 

23,874 

463 

2,405 
2,727 

2.510 

21,522 

1,161 

18,887 

666 

1,160 
36,765 

3,918 
16,205 
19,914 

620 
53,956 

300 


7,447 

3,468 

19,501 

331 

1,408 
1,617 

1,700 

7,823 

649 

9,735 

589 

778 
25,147 

2,433 
11,590 
11,109 
325 
33,997 
182 


4,861 

1,965 

13,267 

265 

763 
1,032 

1,020 

2,488 

288 

4,539 

521 

520 
18,822 

1,723 

8,484 

6,303 

180 

20,743 

87 


3,037 
924 

7,539 
149 

428 
649 

741 

753 

151 

2,106 

471 

276 
14,020 

1,225 
6,537 
4,004 

99 
12,574 

38 


1,882 

581 

3,906 

79 

233 
368 

441 

338 

85 
983 
367 

139 
9,538 

846 

4,627 

2,501 

91 

7,687 

29 


1,209 

232 

2,151 

69 

149 
205 

327 

138 

52 
556 
316 

73 
6,408 

607 

3,371 

1,980 

43 

5,040 

16 


734 

153 

1,071 

21 

107 
148 

214 

140 

54 
374 
229 

35 
4,144 

428 

2,338 

1,572 

48 

3,116 

5 


386 
64 

440 
17 

61 
70 

101 

143 

36 
260 
14* 

18 
2,198 

224 

1,275 

1,476 

43 

1,861 

12 


373 




62 




543 




5 


Stolen property; buying, 


59 




90 


Weapons; carrying, possessing, 
etc 


100 


Prostitution and commercialized 

vice 

Sex offenses (except forcible rape 


81 
18 




115 


Gambling 


118 


Offenses against family and 


19 


Driving under the influence 


1,609 

175 


Drunkenness 


928 




689 




16 


All other offenses (except traffic) 


2,207 
6 


Curfew and loitering law 

























































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

^Violent crimes arc ofTenses of murder, forcible rape, robbery, and aggravated assault. 
^Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 
'Includes arson. 



184 



Table 34. — Total Arrests of Persons under 15, 18, 21 and 25 Years of Age, 1983 

[10,827 agencies; 1983 estimated population 200,692,000] 



Offense charged 



Total 
all 



Number of persons arrested 



Under 15 



Under 18 



Under 21 



Under 25 



Percent of total all ages 



Under 
15 



Under 
18 



Under 
21 



Under 
25 



TOTAL 

Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 

Violent crime' 

Property crime^ 

Crime Index total' 

Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, possessing 

Vandalism 

Weapons; carrying, possessing, etc 

Prostitution and commerciahzed vice 

Sex offenses (except forcible rape and prostitution) 

Drug abuse violations 

Gambhng 

Offenses against family and children 

Driving under the influence 

Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) 

Suspicion 

Curfew and loitering law violations 

Runaways 



10,287,309 



18,064 

30,183 

134,018 

261,421 

415,651 

1,169,066 

105,514 

17,203 



443,686 
1,707,434 



2,151,120 



481,615 
74,508 
261,844 
7,604 
112,424 
212,629 
160,534 

1 19,262 
77,119 

616,936 

38,403 

46,111 

1,613,184 

427,230 

977,924 

678,917 

31,262 

2,005,797 

12,262 

68,148 

112,476 



564,983 



1,725,746 



3,324,558 



5,238,328 



5.5 



16.8 



157 

1,332 

9,203 

10,148 

59,400 

168,095 

8,628 

4,113 



1,345 
4,388 
35,219 
33.730 
159.192 
377,435 
36,497 
6,457 



4,016 

8,780 

63,845 

68,482 

246,147 

558,779 

57,918 

8,473 



7,486 

14,985 

91,161 

117,189 

313,236 

725,457 

75,924 

10,661 



.9 
4.4 
6.9 
3.9 
14.3 
14.4 
8.2 
23.9 



7.4 
14.5 
263 
12.9 
38.3 
32.3 
34.6 
37.5 



20,840 
240,236 



74,682 
579,581 



145,123 
871,317 



230,821 
1,125,278 



4.7 
14.1 



16.8 
33.9 



261,076 



654,263 



1,016,440 



1,356,099 



12.1 



30.4 



29,817 

1,191 

9,205 

78 

7,740 

47,949 
6,110 

270 
5,323 
11,819 
127 
476 
522 

8,990 
3,191 

27,262 
617 

74,661 
1.004 

18,721 

48,834 



78,487 
6,738 
20,874 
459 
26,564 
93,157 
22,492 

2,837 

12,088 

72,687 

1,082 

1,310 

24,997 

114,159 

28,833 

98,082 

2,539 

280.646 

2,828 

68,148 

112,476 



141,750 

18,241 
43,563 
1,515 
48,853 
126,322 
46,320 

23,246 

20,780 

190,810 

3,501 

5,389 

206,590 

278,709 
132,206 
213,993 

6,582 
614.302 

4,822 
68,148 
112,476 



234,157 

34,027 

89,646 

3,036 

70,141 

156,733 
76,550 

63,648 
32,853 

345,290 
8,252 
13,525 

537,063 

333,668 

303.660 

356,807 

12,039 

1.023,485 

7,025 

68,148 

112,476 



6.2 
1.6 
3.5 
1.0 
69 
22.6 
3.8 

.2 
69 
1.9 

.3 
1.0 
(') 

2.1 

.3 

4.0 

2.0 

3.7 

8.2 

27.5 

43.4 



16.3 
9.0 
8.0 
6.0 
23.6 
43.8 
14.0 

2.4 
15.7 
11.8 
2.8 
2.8 
1.5 

26.7 

2.9 

14.4 

8.1 

14.0 

23.1 

100.0 

100.0 



32.3 



22.2 
29.1 
47.6 
26.2 
59.2 
47.8 
54.9 
49.3 



32.7 
51.0 



47.3 



29.4 
24.5 
16.6 
19.9 
43.5 
59.4 
28.9 

19.5 
26.9 
30.9 
9.1 
11.7 
12.8 

65.2 
13.5 
31.5 
21.1 
30.6 
39.3 
100.0 
100.0 



SOS 



41.4 
49.6 
68.0 
44.8 
75.4 
62.1 
72.0 
62.0 



52.0 
65.9 



63.0 



48.6 
45.7 
34.2 
39.9 
62.4 
73.7 
47.7 

53.4 
42.6 
56.0 
21.5 
29.3 
33.3 

78.1 
31.1 
52.6 
38.5 
51.0 
57.3 
100.0 
100.0 



'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 
^Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 
'Includes arson. 
*Less than one-tenth of 1 percent. 



185 



Table 35. — Total Arrests, Distribution by Sex, 1983 

[10.827 agencies; 1983 estimated population 200,692,000] 



Offense charged 



Number of persons arrested 



Total 



Male 



Female 



Percent 
male 



Percent 
female 



Percent distribution' 



Total 



Male 



Female 



TOTAL.. 



Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 



Violent crime ... 
Property crime^ . 



Crime Index total 



Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, possessing . 

Vandalism 

Weapons; carrying, possessing, etc 



Prostitution and commercialized vice 

Sex offenses (except forcible rape and prostitution) . 

Drug abuse violations 

Gambling 

Offenses against family and children 

Driving under the influence 



Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) 

Suspicion 

Curfew and loitering law violations . 
Runaways 



10,287,309 



18,064 

30,183 

134,018 

261,421 

415,651 

1,169,066 

105,514 

17,203 



443,686 
1,707,434 



2,151,120 



481,615 
74,508 
261,844 
7,604 
112,424 
212,629 
160,534 

119,262 
77,119 
616,936 
38,403 
46,111 
1,613.184 

427,230 

977,924 

678,917 

31,262 

2,005,797 

12,262 

68,148 

112,476 



8,581,823 



1,705,486 



83.4 



16.6 



100.0 



15.653 

29,883 

124.159 

226.088 

387.504 

823.817 

96,108 

15,099 



2,411 

300 

9,859 

35,333 

28,147 

345,249 

9,406 

2,104 



86.7 
99.0 
92.6 
86.5 
93.2 
70.5 
91.1 
87.8 



13.3 
1.0 
7.4 

13.5 
6.8 

29.5 
8.9 

12.2 



395,783 
1,322,528 



47,903 
384,906 



89,2 
77.5 



10.8 
22.5 



1,718,311 



432,809 



79.9 



20.1 



410,971 
49,588 

156,511 

5,141 

99,580 

192,174 

148,002 

35,485 
71,369 
530,677 
34,209 
40,999 
1,432,154 

357,338 

892,642 

569,069 

28,081 

1,699,605 

10,464 

52,099 

47,354 



70,644 
24,920 
105,333 
2,463 
12,844 
20,455 
12,532 

83,777 
5,750 

86,259 

4,194 

5,112 

181.030 

69,892 

85,282 

109,848 

3,181 

306,192 

1.798 

16,049 

65.122 



85.3 
66.6 
59.8 
67.6 
88.6 
90.4 
92.2 

29.8 
92.5 
86.0 
89.1 
88.9 



83.6 
91.3 
83.8 
89.8 
84.7 
85.3 
76.4 
42.1 



14.7 
33.4 
40.2 
32.4 
11.4 
9.6 
7.8 

70.2 
7.5 
14.0 
10.9 
11.1 
11.2 

16.4 
8.7 
16.2 
10.2 
15.3 
14.7 
23.6 
57.9 



.3 
1.3 
2.5 
4.0 
11.4 
1.0 

.2 



4.3 
16.6 



20.9 



4.7 
.7 
2.5 
.1 
1.1 
2.1 
1.6 

1.2 
.7 
6.0 
.4 
.4 
15.7 

4.2 
9.5 
6.6 

.3 
19.5 
.1 
.7 
1.1 



100.0 



.2 
.3 
1.4 
2.6 
4.5 
9.6 
1.1 
.2 



4.6 
15.4 



20.0 



4.8 
.6 
1.8 
.1 
1.2 
2.2 
1.7 



6.2 

.4 

.5 

16.7 

4.2 

10.4 

6.6 

.3 

19.8 

.1 

.6 

.6 



100.0 



.1 

e) 

.6 

2.1 

1.7 

20.2 

.6 

.1 



2.8 
22.6 



25.4 



4.1 
1.5 
6.2 
.1 
.8 
1.2 
.7 

4.9 
.3 

5.1 

.2 

.3 

10.6 

4.1 

5.0 

6.4 

.2 

18.0 

.1 

.9 

3.8 



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

^Less than one-tenth of 1 percent. 

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

*Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 

'includes arson. 



186 



Table 36. — Total Arrests, Distribution by Race, 1983 

[10,765 agencies; 1983 estimated population 200,118,000] 



Offense charged 



Total arrests 



Total 



White 



Black 



American 
Indian 



Alaskan 
Native 



Asian 



Pacific 
Islander 



Percent distribution 



Total 



White 



Black 



American 
Indian 



Alaskan 
Native 



Pacific 
Islander 



TOTAL 

Murder and nonnegligent manslaughter 

Forcible rape 

Robbery , 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft , 

Arson -. ... 

Violent crime^ 

Property crime^ 

Crime Index total^ 

Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, possessing 

Vandalism 

Weapons; carrying, possessing, etc 

Prostitution and commercialized vice 

Sex offenses (except forcible rape and prostitution) 

Drug abuse violations 

Gamblmg 

Offenses against family and children 

Driving under the influence 

Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) 

Suspicion 

Curfew and loitering law violations 

Runaways 



10,247,859 



7,291,129 



2,796,038 



93,736 



66,956 



100.0 



71.1 



18,027 

30,114 

133,868 

260,691 

414,604 

1,165.645 

105.295 

17.167 



442,700 
1,702,711 



2,145,411 



480,931 
74,350 
265,659 
7,564 
1 12,035 
212,251 
160,276 

119,232 
76,956 

615,081 

38,373 

45,834 

1,593,046 

425,268 

974,851 

677,391 

31,212 

2,000,083 

12,133 

67,784 

112,138 



8,836 

14,998 

48,596 

154,136 

279.173 

755,436 

69,466 

12,966 



8,935 

14,721 

83,694 

102,717 

130.322 

387,919 

34.011 

3,993 



114 

218 

747 

2,269 

2,790 

10,080 

856 

134 



142 

177 

831 

1,569 

2,319 

12,210 

962 

74 



100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



49.0 
49.8 
36.3 
59.1 
67.3 
64.8 
66.0 
75.5 



226,566 
1,117,041 



210.067 
556,245 



3,348 
13,860 



2,719 
15,565 



100.0 
100.0 



51.2 
65.6 



1.343,607 



766,312 



17.208 



18,284 



100.0 



62.6 



.305,421 
47,830 

176,624 

5,479 

69,974 

166,767 
99,216 

62,251 
59,694 
423,151 
13.361 
28,012 
1,405,465 

376,908 

788,886 

425,099 

20,269 

1,323,249 

6,909 

47,303 

95,654 



168,591 
25,761 
86,863 
1,986 
41,029 
42,750 
59,315 

55,309 
16,095 

185,601 
23,481 
17,328 

165,703 

38,200 
164,334 
243,186 

10226 

645,111 

4,926 

19,600 

14,331 



3,848 
408 

1,178 

27 

617 

1,697 
774 

420 

696 

2,311 

31 

390 

14,656 

7,562 

19,896 

6,882 

510 

13,178 

34 

443 

970 



3.071 

351 

994 

72 

415 

1,037 
971 

1,252 
471 

4,018 

1,500 
104 

7.222 

2,598 

1,735 

2,224 

207 

18,545 

264 

438 

1,183 



100.0 
100.0 
100.0 
100.0 
100.0 
lOO.O 
lOO.O 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



63.5 
64.3 
66.5 
72.4 
62.5 
78.6 
61.9 

52.2 
77.6 
68.8 
348 
61,1 
88.2 

88.6 
80.9 
62.8 
64,9 
66,2 
56,9 
69,8 
85,3 



27.3 



49,6 
48.9 
62.5 
39.4 
31.4 
33.3 
32.3 
23.3 



47.5 
32.7 



35.7 



35.1 
34.6 
32.7 
26.3 
36.6 
201 
37.0 

46.4 
20.9 
30.2 
61,2 
37.8 
104 

9.0 
16.9 
35.9 
32,8 
32,3 
40.6 
28.9 
12.8 



.4 
.9 
.4 
.1 
.9 
.9 

1 

2,0 
1,0 
1.6 
.7 
.3 
,7 
,9 



,6 
.6 
.6 
.6 
1.0 
.9 
.4 



.6 

.5 
.4 
1.0 
.4 

.5 
.6 

1.1 
,6 
,7 

3.9 
.2 
.5 

.6 

.2 
.3 
.7 
.9 

2.2 
.6 

1.1 



See footnotes at end of table. 



187 



Table 36. — Total Arrests, Distribution by Race, 1983 — Continued 







Arrests under 


18 




Percent distribution' 




Offense charged 


Total 


White 


Black 


American 
Indian 

or 
Alaskan 

Native 


Asian 

or 
Pacific 
Islander 


Total 


White 


Black 


American 
Indian 

or 
Alaskan 
Native 


Asian 

or 
Pacific 
Islander 


TOTAL 


1,719,902 


1,249,77S 


442,692 


12,289 


15,143 


100.0 


72.7 


25.7 


.7 


.9 








1,345 

4,373 

35,195 

33,691 

158,842 

376,152 

36,403 

6,447 


667 

1,815 

10,379 

19.997 

1 14.492 

256.033 

25.824 

5.341 


656 

2,509 

24,404 

13,266 

42,101 

112,349 

9.808 

1.028 


10 

28 

105 

226 

1.025 

3,295 

306 

44 


12 

21 

307 

202 

1,224 

4,475 

465 

34 


100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
lOO.O 


49.6 
41.5 
29.5 
5<i.4 
72.1 
68.1 
70.9 
82.8 


48.8 
57.4 
69.3 
39.4 
26.5 
29.9 
26.9 
15.9 


.7 
.6 
.3 
.7 
.6 
,9 
.8 
.7 


.9 




.5 


Robbery 


.9 




.6 




.8 




1.2 




1.3 




.5 








74,604 
577.844 


32.858 
401.690 


40.835 
165.286 


369 
4,670 


542 
6,198 


100.0 
100.0 


44.0 
69.5 


54.7 
28.6 


.5 
.8 


.7 




1.1 








652,448 


434.548 


206.121 


5,039 


6,740 


100.0 


66.6 


31.6 


.8 


1.0 








78,401 
6,728 
20,859 
458 
26.488 
92,964 
22,461 

2,837 

12,065 

71,787 

1,082 

1,292 

24,768 

113,573 

28,723 

97,915 

2,527 

279,325 

2,779 

67.784 

112.138 


48.717 
5,482 
10,163 
352 
17,672 
77,418 
14,972 

1,336 
8,700 

56,209 

276 

1,041 

23,818 

107,820 

26,473 

66,513 

2,113 

200,893 

2,305 

47,303 

95,654 


28.261 
1,152 

10,486 

101 

8,513 

14,560 
7.237 

1.466 

3,236 

14,454 

745 

237 

646 

3,723 

1,689 

30,625 

386 

74,670 

453 

19.600 

14.331 


525 
59 
33 
2 
178 
501 
82 

17 

63 

354 

2 

8 

234 

1,615 

503 

520 

19 

1,112 

10 

443 

970 


898 
35 
177 
3 
125 
485 
170 

18 
66 
770 
59 
6 
70 

415 

58 

257 

9 

3,150 

11 

438 

1,183 


100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
lOO.O 


62.1 

81.5 
48.7 
76.9 
66.7 
83.3 
66.7 

47.1 
72.1 
78.3 
25.5 
80.6 
96.2 

94.9 
92.2 
67.9 
83.6 
71.8 
82.9 
69.8 
85.3 


36.0 

17.1 
50.3 
22.1 
32.1 
15.7 
32.2 

51.7 
26.8 
20.1 
68.9 
18.3 
2.6 

3.3 
5.9 

31.3 
15.3 
26.7 
16.3 
28.9 
12.8 


.7 
.9 
.2 
.4 
.7 
.5 
.4 

.6 
.5 
.5 
.2 
.6 
.9 

1.4 
1.8 

.5 
.8 
.4 
.4 
.7 
.9 


1.1 




.5 




.8 




.7 




.5 




.5 




.8 




.6 




.5 




1.1 




5.5 




.5 




.3 


Liquor laws 


.4 
.2 




.3 


Vagrancy 


.4 
1.1 




.4 




.6 




1.1 







See footnotes at end of table. 



188 



Table 36. — Total Arrests, Distribution by Race, 1983 — Continued 



Offense charged 



Arrests 18 and over 



Total 



White 



Black 



American 
Indian 



Alaskan 

Native 



Asian 



Pacific 
Islander 



Percent distribution 



Total 



White 



Black 



American 
Indian 



Alaskan 
Native 



Asian 



Pacific 
Islander 



TOTAL 

Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 

Violent Crime^ .....;.....;;.;....; 

Property crime^ 

Crime Index total** 

Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, possessing 

Vandalism 

Weapons; carrying, possessing, etc 

Prostitution and commercialized vice 

Sex offenses (except forcible rape and prostitution) 

Drug abuse violations 

Gambling 

Offenses against family and children 

Driving under the influence 

Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) 

Suspicion 

Curfew and loitering law violations 

Runaways 



8,527,957 



6,041,351 



2,353,346 



81,447 



51,813 



100.0 



70.1 



27.6 



16,682 

25,741 

98,673 

227,000 

255,762 

789,493 

68,892 

10,720 



368,096 
1,124,867 



1,492,963 



402,530 
67,622 

244,800 

7,106 

85,547 

119,287 

137,815 

116,395 
64,891 
543,294 
37,291 
44,542 
1,568,278 

311,695 

946,128 

579,476 

28,685 

1,720,258 

9,354 



8,169 

13,183 

38,217 

134,139 

164,681 

499,403 

43,642 

7,625 



8,279 
12,212 
59,290 
89,451 
88,221 
275,570 
24,203 
2,965 



104 

190 

642 

2,043 

1,765 

6,785 

550 

90 



130 

156 

524 

1,367 

1,095 

7,735 

497 

40 



100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



49.0 
51.2 
38.7 
59.1 
64.4 
63.3 
63.3 
71.1 



49.6 
47.4 
60.1 
39.4 
34.5 
34.9 
35.1 
27.7 



193,708 
715,351 



169,232 
390,959 



2,979 
9,190 



2,177 
9,367 



100.0 
100.0 



52.6 
63.6 



909,059 



560,191 



12,169 



11,544 



100.0 



60.9 



256,704 
42,348 

166,461 
5,127 
52,302 
89,349 
84,244 

60,915 
50,994 
366,942 
13,085 
26,971 
1,381,647 

269,088 

762,413 

358,586 

18,156 

1,122,356 

4,604 



140,330 
24,609 
76,377 
1,885 
32,516 
28,190 
52,078 

53,843 
12,859 

171,147 
22,736 
17,091 

165,057 

34,477 
162,645 
212,561 

9,840 
570,441 

4,473 



3,323 
349 

1,145 

25 

439 

1,196 
692 

403 

633 

1,957 

29 

382 

14,422 

5,947 
19,393 
6,362 
491 
12,066 
24 



2,173 
316 
817 
69 
290 
552 
801 

1,234 
405 
3,248 
1,441 
98 
7,152 

2,183 

1,677 

1.967 

198 

15,395 

253 



100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



63.8 
62,6 
68,0 
72.2 
61,1 
749 
61,1 

52.3 
78.6 
67.5 
35.1 
60.6 
88.1 

86.3 
80.6 
61.9 
63.3 
65.2 
49.2 



46.0 

34.8 



37.5 



34.9 
36.4 
31.2 
26.5 
38.0 
23.6 
37,8 

46.3 
19.8 
31.5 
61.0 
38,4 
105 

11,1 

17,2 
36,7 
343 
33,2 
47.8 



1.0 



.5 
.5 
.4 
.5 
1.0 
.5 

.3 
1.0 
.4 
,1 
,9 
,9 

1,9 
2,0 
1,1 

1,7 

,7 
.3 



.6 

.5 
.6 

.4 
1.0 
.7 
.4 



.5 
.5 
.3 
1.0 
.3 
.5 
.6 

1.1 
.6 
.6 

3.9 
.2 
.5 

.7 
.2 
.3 
.7 
.9 
2.7 



'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. 



189 



Table 37. — Total Arrests, Distribution by Ethnic Origin, 1983 

[9.589 agencies; 1983 estimated population 179,189,000] 



Offense charged 



Total all ages 



Number of arrests 



Total 



Hispanic 



Non- 
Hispanic 



Percent distribution 



Total 



Hispanic 



TOTAL.. 



Murder and nonnegligent manslaughter . 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Ar^on 



Violent crime -. 
Property crime^ 



Crime Index total 



Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, possessing 

Vandalism 

Weapons; carrying, possessing, etc 



Prostitution and commercialized vice 

Sex offenses (except forcible rape and prostitution) . 

Drug abuse violations 

Gamblmg 

Offenses against family and children 

Driving under the mfluence 



Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traflic) 

Suspicion 

Curfew and loitering law violations . 
Runaways 



9,245,761 



16,257 

26,879 

121,097 

225,726 

366,626 

1,036,061 

95,085 

15,566 



389,959 
1,513,338 



1,903,297 



446,486 
67,098 
237,061 
7,029 
101.728 
197,873 
144,617 

108,969 
68,565 
547,182 
33,498 
41,232 
1,470,207 

388,116 

903,984 

621,838 

28.675 

1.758,134 

7,365 

62,711 

100,09t) 



1,058,937 



8,186,824 



2,590 

2,706 

14,415 

27.138 

46,335 

106,718 

14,110 

1,070 



13,667 

24,173 
106,682 
198,588 
320,291 
929,343 
80.975 
14,496 



46,849 
168.233 



343.110 
1,345,105 



215,082 



1.688.215 



37.336 
4,063 
10.990 
405 
12,613 
15,323 
20,468 

6,876 
6.841 
82.562 
3.571 
1,528 
173,418 

26,900 

160.385 

54.067 

4.531 

208,964 

712 

4,455 

7,847 



409,150 
63,035 

226,071 

6.624 

89,115 

182.550 

124.149 

102,093 
61,724 
464,620 
29,927 
39,704 
1.296.789 

361,216 

743,599 

567,771 

24,144 

1,549.170 

6,653 

58,256 

92,249 



100.0 



100.0 
100.0 
100.0 
lOO.O 
100.0 
100.0 
100.0 
100.0 



100.0 
100.0 



100.0 



100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100,0 
100.0 
100.0 
100.0 

100.0 
iOO.O 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



11.5 



15.9 
10.1 
11.9 
12.0 
12.6 
10.3 
148 
6.9 



12,0 
11.1 



11.3 



8.4 
6.1 
46 
5 

12.4 
7.7 

14.2 

6.3 
10.0 
15.1 
107 

3.7 
11.8 

6.9 
17.7 
8,7 
15.8 
11.9 
9.7 
7.1 
7.8 



91.6 
93.9 
95.4 
94.2 
87.6 
92.3 
85.8 

93.7 
90.0 
84.9 
89.3 
96.3 
88.2 

93.1 
82.3 
91.3 
84.2 
88.1 
90.3 
92.9 
92.2 



See footnotes at end of table. 



190 



Table 37. — Total Arrests, Distribution by Ethnic Origin, 1983 — Continued 



Offense charged 



Under 18 years of age 



Number of arrests 



Total 



Hispanic 



Non- 
Hispanic 



Percent distribution 



Total 



Hispanic 



Non- 
Hispanic 



TOTAL 

Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 

Violent crime' 

Property crime^ 

Crime Index total^ 

Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, possessing 

Vandalism 

Weapons; carrying, possessing, etc 

Prostitution and commercialized vice 

Sex offenses (except forcible rape and prostitution) 

Drug abuse violations 

Gambling 

Offenses against family and children 

Driving under the influence 

Liquor laws 

Drunkenness i 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) 

Suspicion 

Curfew and loitering law violations 

Runaways 



1,566,813 



1,262 

3,929 

32,706 

29,139 

141,314 

337,409 

33,015 

5,955 



67,036 
517,693 



584,729 



72,813 
6,173 
20,474 
408 
24,390 
86,128 
20,997 

2,549 

11,063 

64,599 

1,027 

1,139 

23.020 

104,937 

26,665 

92,789 

2,382 

255,591 

2,133 

62,71 1 

100,096 



182,375 



1,384,438 



275 


987 


347 


3,582 


4,128 


28,578 


4,232 


24,907 


17,372 


123,942 


32,949 


304,460 


4,148 


28,867 


459 


5,496 


8,982 


58,054 


54,928 


462,765 



63,910 



520,819 



7,436 
399 
5,050 
45 
3,046 
7,283 
3,415 

165 

1.109 

10,530 

74 

42 

2,342 

6.185 

6.750 

10.275 

364 

41.415 

238 

4,455 

7.847 



65,377 
5,774 
15,424 
363 
21,344 
78,845 
17,582 

2,384 
9.954 

54.069 

953 

1.097 

20.678 

98.752 

19.915 

82.514 

2.018 

214.176 

1.895 

58.256 

92.249 



100.0 



100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



100.0 
lOO.O 



100.0 



100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



11.6 



21.8 
8.8 
12.6 
14.5 
12.3 
9.8 
12.6 
7.7 



13.4 
10.6 



10.9 



10.2 
6.5 
24.7 
11.0 
12.5 
8.5 
163 

6.5 
10.0 
16.3 
7.2 
3.7 
10.2 

5.9 
25.3 
11.1 
15.3 
16.2 
11.2 
7.1 
7.8 



88.4 



78.2 
91.2 
87.4 
85.5 
87.7 
90.2 
87.4 
92.3 



86.6 
89.4 



89.1 



89.8 
93.5 
75.3 
89.0 
87.5 
91.5 
83.7 

93.5 
90.0 
83.7 
92.8 
96.3 
89.8 

94.1 
74.7 
88.9 
84.7 
83.8 
88.8 
92.9 
92.2 



See footnotes at end of table. 



191 



Table 37. — Total Arrests, Distribution by Ethnic Origin, 1983 — Continued 



Offense charged 



TOTAL 

Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 

Violent crime' 

Property crime^ 

Crime Index total' 

Other assaults 

Forgery and counterfeiting.. 

Fraud 

Embezzlement 

Stolen property; buying, receiving, possessing 

Vandalism 

Weapons; carrying, possessing, etc 

Prostitution and commercialized vice 

Sex offenses (except forcible rape and prostitution) 

Drug abuse violations 

Gambling 

Offenses against family and children 

Driving under the influence 

Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) 

Suspicion 

Curfew and loitering law violations 

Runaways 



18 years of age and over 



Number of arrests 



Total 



7,678,948 



14,995 

22,950 

88,391 

196,587 

225,312 

698,652 

62,070 

9,611 



322,923 
995,645 



1,318,568 



373,673 
60,925 

216,587 

6,621 

77,338 

111,745 

123,620 

106,420 
57,502 
482,583 
32,471 
40,093 
1,447,187 

283,179 

877,319 

529,049 

26,293 

1,502,543 

5,232 



Hispanic 



876,562 



2,315 

2,359 

10,287 

22,906 

28,963 

73,769 

9,962 

611 



37,867 
113,305 



151,172 



29,900 
3,664 
5,940 
360 
9,567 
8,040 

17,053 

6,711 
5,732 
72,032 
3,497 
1,486 
171,076 

20,715 
153,635 
43,792 
4,167 
167,549 
474 



Non- 
Hispanic 



6,802,386 



12,680 
20,591 
78,104 
173,681 
196,349 
624,883 
52,108 
9,000 



285,056 
882,340 



1,167,396 



343,773 
57,261 

210,647 

6,261 

67,771 

103,705 

106,567 

99,709 
51.770 
410,551 
28,974 
38,607 
1,276,111 

262,464 

723,684 

485,257 

22,126 

1,334,994 

4,758 



Percent distribution 



Total 



100.0 



100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



100.0 
100.0 



100.0 



100.0 
100.0 
lOO.O 
100.0 
100.0 
100.0 
100.0 

1 00.0 
lOO.O 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



Hispanic 



11.4 



15.4 
10.3 
11.6 
11.7 
12.9 
106 
16.0 
6.4 



11.7 
11.4 



11.5 



8.0 
6.0 
2.7 
5.4 

12.4 
7.2 

13.8 

6.3 
10.0 
14.9 
10.8 

3.7 
11 

7.3 
17.5 

8.3 
15.8 
11.2 

9.1 



Non- 
Hispanic 



88.6 



84.6 
89.7 
88.4 
88.3 
87.1 
89.4 
84.0 
93.6 



88.3 
88.6 



92.0 
94.0 
97.3 
94.6 
87.6 
92.8 
86.2 

93.7 
90.0 
85.1 
89.2 
96.3 
88.2 

92.7 
82.5 
91.7 
84.2 
88.8 
90.9 



'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 
^Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 
'Includes arson. 



192 



Table 38. — aty Arrest Trends, 1982-1983 

[6,093 agencies; 1983 estimated population 124,717,000) 



Offense charged 



Number of persons arrested 



Total all ages 



1982 



1983 



Percent 
change 



Under 18 years of age 



1982 



1983 



Percent 
change 



18 years of age and over 



1982 



1983 



Percent 
change 



TOTAL 

Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 

Violent crime' 

Property crime^ 

Crime Index total' 

Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement... 

Stolen property; buying, receiving, possessing 

Vandalism 

Weapons; carrying, possessing, etc 

Prostitution and commercialized vice 

Sex offenses (except forcible rape and prostitution) 

Drug abuse violations 

Gambling 

Offenses against family and children 

Driving under the influence 

Liquor laws 

Drunkenness 

Disorderly conduct... 

Vagrancy 

All other offenses (except traffic) 

Suspicion (not included in totals) 

Curfew and loitering law violations 

Runaways 



7,582,435 



13,416 

20,776 

115,154 

183,318 

316,511 

929,487 

82,454 

12,107 



332,664 
1,340,559 



1,673,223 



335,926 
56,728 

144,160 
4,623 
87,189 

154,957 

130,192 

103,862 
50,997 

429,220 
31,324 
17,744 

850,234 

324,735 

838,237 

677,754 

27,607 

1,487,465 

7.411 

71,470 

84,788 



7,303,069 



12.661 

21,156 

108,814 

176,968 

284,963 

891,212 

75.187 

11,137 



319,599 
1,262.499 



1,582,098 



342,51! 

51,341 

142,006 

4,233 

81,358 
152,545 
121,665 

108,387 
55,404 

448,024 
31,100 
17,454 

901,744 

301,378 

776,852 

561,674 

27,656 

1,458.414 

6.933 

60.020 

77.205 



-3.7 



1,471,124 



1,327,872 



-9.7 



6,111,311 



5,975,197 



-5.6 
+ 1.8 
-5.5 
-3.5 
-10.0 
^.1 
-8.8 
-8.0 



1,267 

3,277 

32,040 

26,181 

128,771 

309,921 

30,465 

4,692 



1,024 

3,307 

30,582 

24,909 

111,851 

294,750 

26,495 

4,531 



-19.2 
+ .9 

^.6 

^.9 
-13.1 

^,9 
-13.0 

-3.4 



12,149 

17,499 

83,114 

157,137 

187,740 

619,566 

51,989 

7,415 



11,637 

17,849 

78.232 

152,059 

173,112 

596,462 

48,692 

6,606 



-3.9 
-5.8 



62.765 
473.849 



59.822 
437.627 



-4.7 
-7.6 



269.899 
866,710 



259,777 
824,872 



-5.4 



536,614 



497,449 



-7.3 



1,136,609 



1,084,649 



+ 2.0 
-9.5 
-1.5 
-8.4 
-6.7 
-1.6 
-6.5 

+ 4.4 
+ 8.6 
+ 4.4 
-.7 
-1.6 
+ 6.1 

-7.2 
-7.3 

-17.1 
+ .2 
-2.0 
-6.4 

-16.0 
-8.9 



60,637 
5,787 
17,281 
436 
23,366 
70,271 
19,177 

2,751 
8,269 

60,588 
1,179 
1,090 

16.487 

95,103 

26.699 

105.066 

2,888 

261,177 

2,295 

71,470 

84,788 



60,289 
4.862 
19,476 
324 
20,924 
67,638 
18,385 

2,527 

8,687 

55.315 

948 

800 

14,687 

82.436 

22,294 

83.556 

1.988 

228,062 

2,332 

60,020 

77,205 



-.6 
-16.0 

fl2.7 

-25.7 

-10.5 

-3.7 

-4.1 

-8.1 
+ 5.1 
-8.7 
-19.6 
-26.6 
-109 

-13.3 
-16.5 
-20.5 
-31.2 
-12.7 

+ 1.6 
-16.0 

-8.9 



275,289 
50,941 

126,879 

4.187 

63,823 

84,686 

111,015 

101,111 
42,728 

368,632 
30,145 
16.654 

833.747 

229.632 

311,538 

572.688 

24,719 

1,226,288 

5,116 



282,222 
46,479 

122,530 

3,909 

60,434 

84,907 

103,280 

105,860 
46,717 

392,709 
30152 
16,654 

887,057 

218,942 

754,558 

478,118 

25.668 

1.230,352 

4.601 



-2.2 



-4.2 
+ 2.0 
-5.9 
-3.2 
-7.8 
-3.7 
-6.3 
-10.9 



-3.8 
^.8 



-4.6 



+ 2.5 
-8.8 
-3.4 
-6.6 
-5.3 
+ .3 
-7.0 

+ 4.7 

+ 9.3 

+ 6.5 

C) 



+ 6.4 

-4.1 
-7.0 

-16.5 

+ 3.8 

+ .3 

-101 



'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 
^Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson, 
'includes arson. 
*Less than one-tenth of 1 percent. 



193 



Table 39. — Qty Arrest Trends, Sex, 1982-1983 

[6,093 agencies; 1983 estimated population 124,717,000] 



Offense charged 



TOTAL 

Murder and nonnegligent 

manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 

Violent crime' 

Property crime^ 

Crime Index total' 

Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, 

possessing 

Vandalism 

Weapons; carrying, possessing, etc 

Prostitution and commercialized 
vice 

Sex offenses (except forcible rape and 
prostitution) 

Drug abuse violations 

Gambhng 

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 



MaJes 



Total 



1982 



6,319,739 



11,616 

20,579 

106,754 

158,630 

295,360 

647,981 

75,038 

10,523 



297,579 
1,028,902 



1,326,481 



286,069 

37.832 

90,520 

3,151 

76,883 
140.270 
119,782 



29.849 

46.922 

371.843 

28,097 

14.329 
753.314 

275,553 

768,015 

578,559 

24,359 

1,256,969 

6,294 

56,042 

34,900 



1983 



6,063,399 



10.983 

20.971 

100.739 

152.119 

265.052 

620.824 

68,444 

9,784 



284,812 
964,104 



1,248,916 



291.520 

33.941 

89.818 

2.814 

71.932 
137.593 
112.046 



31,889 

50,829 

386,182 

27,654 

14.269 
794.840 

252.937 

709,489 

470.293 

25,078 

1,232,942 

5,884 

46,291 

32,126 



Percent 
change 



-5.4 
+ 1.9 
-5.6 
^.1 
-103 
-A.2 
-8.8 
-7.0 



-4.i 
-6.3 



-5.8 



+ 1.9 

-103 

-.8 

-107 

-*.4 
-1,9 
-6.5 



+ 6.8 

+ 8.3 
+ 3.9 
-1.6 

-.4 
+ 5.5 

-8.2 
-7.6 

-18.7 
+ 3.0 
-1.9 
-6.5 

-17.4 
-7.9 



Under 18 



1982 



1,167,004 



1,166 

3,222 
29,908 
21,986 
120,355 
226,956 
27,115 
4,141 



56,282 
378,567 



434.849 



47,402 

3,934 

13,807 

322 

21,197 
64,456 
17,874 



823 

7,662 

50,952 

1,141 

654 
14,548 

73,143 

22,804 

88,672 

2,394 

209.428 

1.854 

56.042 

34.900 



1983 



1,047,522 



922 

3.277 

28,592 

20,779 

104,340 

215,422 

23,698 

4,136 



53,570 
347.596 



401.166 



47,081 

3,222 

15.306 

223 

18.984 
61,886 
17,224 



780 

8,099 

46,572 

900 

504 
12,793 

62,026 
18,869 
69,313 

1.692 
182.465 

1.875 
46.291 
32.126 



Percent 
change 



-lOJ 



-20.9 

+ 1.7 
-4.4 
-5.5 

-13.3 
-5.1 

-12.6 
-.1 



-8.2 



-7.7 



-.7 
-18.1 
fl09 
-30.7 

-104 
-4.0 
-3.6 



-5.2 

+ 5.7 

-8.6 

-21.1 

-22.9 
-12 1 

-15.2 
-17.3 
-21.8 
-29.3 
-12.9 

+ 1.1 
-17.4 

-7.9 



Females 



Total 



1982 



1,262,696 



1,800 

197 

8,400 

24.688 

21.151 

281.506 

7.416 

1,584 



35,085 
311,657 



346,742 



49,857 

18,896 

53,640 

1,472 

10.306 
14.687 
10.410 



74,013 

4,075 

57,377 

3.227 

3.415 
96.920 

49,182 
70,222 
99,195 

3.248 
230,496 

1,117 
15,428 
49.888 



1983 



1,239,670 



1.678 

185 

8.075 

24.849 

19,911 

270,388 

6,743 

1,353 



34,787 
298,395 



333,182 



50,991 

17,400 

52,188 

1.419 

9.426 
14.952 
9.619 



76.498 

4.575 

61.842 

3.446 

3.185 
106.904 

48,441 

67.363 

91.381 

2.578 

225.472 

1.049 

13.729 

45.079 



Percent 
change 



-1.8 



-6.8 
-6.1 
-3.9 
+ .7 
-5.9 
-3.9 
-9.1 
-14.6 



^.3 



-3.9 



+ 2.3 
-7.9 
-2.7 
-3.6 

-8.5 
+ 1. 
-7.6 



+ 3.4 

+ 12.3 
+ 7.8 
+ 6.8 

-6.7 
+ 103 

-1.5 
^.1 
-7.9 

-206 
-2.2 
-6.1 

-11.0 
-9.6 



Under 18 



1982 



304,120 



101 

55 

2.132 

4.195 

8.416 

82.965 

3,350 

551 



6,483 
95,282 



101,765 



13.235 

1.853 

3.474 

114 

2,169 
5,815 
1.303 



1,928 

607 

9,636 

38 

436 
1.939 

21.960 
3.895 
16.394 

494 
51.749 

441 
15.428 
49.888 



1983 



280,350 



102 

30 

1,990 

4,130 

7.511 

79.328 

2.797 

395 



6.252 
90,031 



96,283 



13,208 

1,640 

4,170 

101 

1,940 
5,752 
1,161 



1,747 

588 

8,743 

48 

296 
1,894 

20,410 
3,425 
14,243 

296 
45,597 

457 
13.729 
45.079 



Percent 
change 



-7.8 



+ 1.0 
-45.5 

-6.7 

-1.5 
-108 

^4 
-16.5 
-28.3 



-3.6 

-5.5 



-5.4 



-.2 
-11.5 
^20.0 
-11.4 

-10.6 

-1.1 

-109 



-9.4 

-3.1 

-9.3 

+ 26.3 

-32.1 
-2.3 

-7.1 
-12.1 
-13.1 
-40.1 
-119 

+ 3.6 
-11.0 

-9.6 



'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 
^Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 
^Includes arson. 



194 



Table 40. — City Arrests, Distribution by Age, 1983 

(7,457 agencies; 1983 estimated population 139,728,000] 



Offense charged 



Total 
all 



Ages 

under 

15 



Ages 

under 

18 



Ages 
18 and 



Age 



Under 
10 



10-12 



13-14 



20 



TOTAL 

Percent distribution' 

Murder and nonnegligent 

manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 

Violent crime^ 

Percent distribution' 

Property crime^ 

Percent distribution' 

Crime Index total* 

Percent distribution' 

Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, 

possessmg 

Vandalism 

Weapons; carrying, possessing, etc. 

Prostitution and commercialized 

vice 

Sex offenses (except forcible rape 

and prostitution) 

Drug abuse violations 

Gambhng 

Offenses against family and 

children 

Driving under the influence 

Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic). 

Suspicion 

Curfew and loitering law 

violations 

Runaways 



7,977,054 
100.0 



13,561 

22,953 

115,665 

194,633 

311,734 

989,394 

81.831 

12,610 



346,812 

100.0 

1,395,569 

100.0 



1,742.381 
100.0 



377,198 

55,190 

148,843 

4,674 

87,985 
172,339 
131,479 



114,177 

60,052 

482,547 

33,897 

19,097 
1,005,298 

347,958 
818,657 
617,067 

28,944 
1,567,647 

11.005 

65,188 
85,431 



488,003 
6.1 



1,4«1,274 
18.3 



6,515,780 
81.7 



41,644 

.5 



124,353 
1.6 



322,006 
4.0 



259,298 
3.3 



334,198 
4J 



379,775 
4.8 



413,472 

5.2 



428,058 
5.4 



117 
1.153 
8.640 
8,127 
46,710 
150,699 
7,000 
3,370 



1,090 
3,621 

32,362 
27,090 
122,744 
330,129 
29,069 
5,082 



12,471 

19,332 

83,303 

167,543 

188,990 

659,265 

52,762 

7,528 



7 

60 

306 

525 

3,779 

14,270 

146 

977 



14 

238 

1,791 

2,038 

12,188 

45,861 

912 

990 



96 

855 
6,543 
5,564 
30,743 
90,568 
5.942 
1.403 



168 

732 

6.285 

4,968 

23,218 

57,978 

6,619 

655 



335 

818 

8,304 

6,343 

26,117 

60,756 

7,791 

566 



470 

918 

9,133 

7,652 

26,699 

60,696 

7,659 

491 



683 

1,093 

9,060 

8,309 

24,589 

55,888 

6,388 

501 



710 

1.089 

8,214 

8,931 

20,680 

49,755 

5,425 

483 



18,037 

5.2 

207,779 

14.9 



64,163 

18.5 

487,024 

34.9 



282,649 
81.5 

908,545 
65.1 



.3 

19,172 

1.4 



4,081 

1.2 

59,951 

4.3 



13,058 

3.8 

128.656 

9.2 



12.153 
3.5 

88.470 
6.3 



15.800 
4.6 

95.230 
6.8 



18.173 
5.2 

95,545 
6.8 



19.145 
5.5 

87,366 
6.3 



18,944 
5.5 

76,343 
5.5 



225,816 
13.0 



551,187 
31.6 



1,191,194 
68.4 



20,070 
1.2 



64.032 
3.7 



141,714 
8.1 



100,623 
5.8 



111.030 
6.4 



113.718 
6.5 



106.511 
6.1 



95.287 
5.5 



26.238 

1.005 

9.089 

56 

6,921 

40.118 

5.369 



251 

4,266 

9.961 

115 

328 
355 

7.663 

2.777 

25.761 

514 

64,496 

935 

18,011 
37,958 



67,322 

5,286 

19,743 

342 

22,822 
76,419 
19,611 



2,689 

9.501 

60.233 

1,008 

868 
16,611 

94,288 
23,854 
91,387 

2.141 
242.790 

2.553 

65,188 
85,431 



309.876 

49,904 

129,100 

4,332 

65,163 
95,920 

in.i 



111.488 

50,551 

422,314 

32,889 

18,229 
988,687 

253,670 

794.803 

525.680 

26.803 

1,324.857 

8.452 



2.306 

22 

371 

7 

304 
6.040 

222 



336 
136 

7 

138 
85 

92 

395 

1.988 

22 

6,595 

146 

674 
1,676 



7,055 

187 

1,743 

7 

1,558 

13,177 

1,085 



21 

1,090 

1,110 

9 

52 

37 

475 

196 

6,268 

89 

15,380 

222 

3,449 
7,111 



16.877 

796 

6.975 

42 

5,059 

20,901 

4,062 



218 

2,840 

8,715 

99 

138 
233 

7.096 

2.186 

17.505 

403 

42,521 

567 

13,888 
29,171 



12,153 

906 

6,790 

47 

4,483 
12.358 
3.616 



288 

1,758 

10,595 

149 

128 
639 

13,259 
3,406 
16,090 

411 
34.832 

500 

13.786 
22.481 



13.779 

1,375 

1,554 

79 

5,253 
12,005 
4,739 



689 

1.678 

16,878 

282 

181 
4,048 

28,409 

6,181 

21,768 

541 
68.038 

555 

17,581 
17,555 



15,152 

2,000 

2,310 

160 

6,165 
11,938 
5,887 



1,461 

1,799 

22,799 

462 

231 
11,569 

44,957 
11,490 
27,768 

675 
75,424 

563 

15,810 

7,437 



15,127 

2,451 

3,709 

240 

6,286 
9,837 
6,816 



4.010 

2,036 

28,735 

604 

704 
29,014 

53,163 
22,258 
33,535 
1,246 
86,566 
624 



16,825 

2,896 

4,849 

266 

5.952 
8.585 
6.725 



6,965 

2.287 

31.733 

748 

741 
41.068 

45,654 
29,003 
35,669 
1,172 
91,040 
593 



415,215 
5J 



691 

1,186 

7,299 

9,084 

16,899 

43,303 

4,634 

438 



18,260 
5.3 

65,274 
4.7 



83.534 
4.8 



17.682 

2.971 

5,549 

236 

5.250 
7.699 
6.369 



8.520 

2.411 

32.110 

881 

782 
47.588 

35,255 
31.552 
35,372 
1.144 
89.747 
563 



See footnotes at end of table. 



195 



Table 40. — City Arrests, Distribution by Age, 1983 — 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 
over 


TOTAL 


3%,4S1 
5.0 


382,546 
4.8 


361,009 

4.5 


331,045 
4.1 


1,321,260 
16.6 


871,919 
10.9 


536,217 
6.7 


350,203 
4.4 


237,543 
3.0 


182,923 
2.3 


132,300 
1.7 


83,871 
1.1 


71,748 




.9 






Murder and nonnegligent 


648 

1,240 

6.565 

9.220 

14.606 

38.682 

4,050 

442 


714 

1,219 

6,045 

9,574 

13,090 

35,993 

3,686 

426 


667 

1.197 

5.454 

9.146 

11.576 

32.753 

3.299 

376 


631 

1.082 

4.923 

8.657 

10.148 

30.435 

2,892 

320 


2.716 

4.446 

17,986 

36,883 

37,787 

127,362 

10,502 

1,543 


1,907 

2,800 

9,778 

24,954 

20,404 

86,810 

5,695 

1,027 


1,122 
1,797 
4,230 

15,964 
9,345 

50,354 

2.906 

702 


716 

899 

i.820 

10,086 

4,553 

31,907 

1,493 

492 


476 

438 

880 

6.189 

2.207 

21,468 

832 

283 


299 

330 

494 

4,250 

1,465 

17,703 

410 

226 


218 
233 
257 
2,850 
797 
13,828 
265 
128 


131 
137 
195 

1,802 
493 

9,902 
167 
87 


142 




96 


Robberv 


103 




1,644 




351 




13,122 




118 




54 








17,673 
5.1 

57,780 
4.1 


17,552 
5.1 

53,195 
3.8 


16.464 

4.7 

48.004 

3.4 


15,293 
4.4 

43.795 
3.1 


62,031 

17.9 

177,194 

12.7 


39,439 

11.4 

113,936 

8.2 


23.113 
6.7 

63.307 
4.5 


13,521 
3.9 

38,445 
2.8 


8,033 

2.3 

24,790 

1.8 


5,373 

1.5 

19,804 

1.4 


3.558 

1.0 

15.018 

1.1 


2,265 

.7 

10,649 

.8 


1,985 




.6 




13,645 


Percent distribution' 


1.0 




75.453 
4.3 


70,747 
4.1 


64.468 
3.7 


59.088 
3.4 


239,225 
13.7 


153,375 
8.8 


86.420 
5.0 


51,966 
3.0 


32,823 
1.9 


25,177 
1.4 


18.576 
1.1 


12,914 

.7 


15.630 




.9 








18.373 

2,972 

6,230 

250 

4,638 
7,102 
6.489 

9.863 

2.426 

31,471 

1,033 

894 
53,961 

14,565 
36,815 

35,778 

1,324 

86.322 

492 


18,691 

3,082 

6,522 

273 

4,213 
6,508 
6,395 

10.479 

2.444 

30.686 

1.103 

926 
54.602 

11.888 
35.493 
33.937 
1.343 
82.709 
505 


18.316 

2.853 

6.632 

259 

3.793 
5.880 
6.165 

10,172 

2.464 

29.554 

1.148 

886 

52.727 

9.790 
34.928 
31.687 

1.231 

77.520 

536 


17.118 

2.730 

6.311 

264 

3.413 
5.242 
5.816 

8.397 

2,330 

26,996 

1,132 

884 
49.617 

7.880 
33.056 
28.412 

1.125 

70.804 

430 


71,283 

12,370 

29,770 

868 

13,121 
19,213 
23,705 

28,546 

10,133 

102,131 

5,039 

4,278 
202,912 

25,409 
143,057 
106,461 

5,173 
276,660 

1.906 


45,927 

8,227 

23,642 

658 

8,064 
11,178 
15,705 

12,378 

7,441 
57.406 
4.103 

3.309 
141.273 

15.630 

109.988 

66.697 

4.141 

181.488 

1.289 


27.941 

4.442 

15,556 

413 

4,386 
6,187 
9,879 

5,335 

5,392 

26,242 

3,580 

2.160 
98.964 

9.939 

81.043 

38.958 

2,932 

105.775 

673 


16,833 

2,177 

8,878 

248 

2,443 
3,519 
6,367 

2,580 

3,737 
11,822 
3,273 

1,226 
70,207 

7,318 
64.444 
25.497 

2.097 

65.238 

333 


10,119 

1,306 

4,964 

139 

1,442 
1,960 
3,985 

1,553 

2,329 
5,735 
3,014 

646 
50,112 

5,681 
52,007 
16,991 

1,380 

41,123 

234 


6,652 
673 

2,979 
115 

928 
1,269 
2,966 

1,001 

1,853 
3,362 
2,446 

341 
38.607 

4.515 
46.081 
13.789 

1.090 

28.948 

131 


4.228 

410 

1.798 

57 

606 

826 

2,033 

772 

1,377 
2,177 
2,000 

219 
27,854 

3,335 

35,368 

10,442 

719 

19.437 

66 


2,483 

201 

877 

31 

359 

458 

1,283 

527 

954 
1,505 
1,327 

110 
17,170 

2,115 

22,260 

7,375 

364 

11,513 

45 


2.278 


Forgery and counterfeiting 


143 
834 


Embezzlement 

Stolen property; buying, receiving, 


15 
269 




457 


Weapons; carrying, possessing, etc 

Prostitution and commercialized 


1.170 
390 


Sex offenses (except forcible rape 


937 




649 




1,458 


Offenses against family and 


123 




13,011 


Liquor laws 

Dnmkenness 

Disorderly conduct 


1,533 
17,450 
5,080 


Vagrancy 

All other offenses (except traffic) 

Suspicion 

Curfew and loitering law 
violations 


322 

9,967 

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. 
*lncludes arson. 



196 



Table 41. — City Arrests of Persons under 15, 18, 21, and 25 Years of Age, 1983 

[7,457 agencies; 1983 estimated population 139,728,000] 



Offense charged 



Total 
all ages 



Number of persons arrested 



Under 15 



Under 18 



Under 21 



Under 25 



Percent of total all ages 



Under 
15 



Under 
18 



Under 
21 



Under 

25 



TOTAL 

Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 

Violent crime' 

Property crime^ 

Crime Index total^ 

Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, possessing 

Vandalism 

Weapons; carrying, possessing, etc 

Prostitution and commercialized vice 

Sex offenses (except forcible rape and prostitution) 

Drug abuse violations 

Gambhng 

Offenses against family and children 

Driving under the influence 

Liquor laws 

Drunkeimess 

Disorderly conduct -... 

Vagrancy ; 

All other offenses (except traffic) 

Suspicion 

Curfew and loitering law violations 

Runaways 



7,977,054 



13,561 

22,953 

115,665 

194,633 

311,734 

989,394 

81,831 

12,610 



346,812 
1,395,569 



1,742,381 



377,198 
55,190 

148,843 
4,674 
87,985 

172,339 

131,479 

114,177 

60,052 

482,547 

33,897 

19,097 

1,005,298 

347,958 
818,657 
617,067 

28,944 
1,567,647 

11,005 

65,1 

85,431 



488,003 



1,4«U74 



2,718,019 



4,189,070 



6.1 



18.3 



117 
1,153 
8,640 
8,127 
46,710 
150,699 
7,000 
3,370 



1,090 

3,621 

32,362 

27,090 

122,744 

330,129 

29,069 

5,082 



3,174 

6,989 

56,935 

53,414 

184,912 

479,075 

45,516 

6,504 



5,834 

11,727 

79,922 

90,011 

234,332 

616,938 

59,443 

8,068 



.9 
5.0 
7.5 
4.2 
15.0 
15.2 
8.6 
26.7 



8.0 
15.8 
28.0 
13.9 
39.4 
33.4 
35.5 
40.3 



18,037 
207,779 



54,163 
487,024 



120,512 
716,007 



187,494 
918,781 



5.2 
14.9 



18.5 
34.9 



225,816 



551,187 



836,519 



1,106,275 



13.0 



31.6 



26,238 

1,005 

9,089 

56 

6,921 

40,118 
5,369 

251 
4,266 
9,961 
115 
328 
355 

7,663 

2,777 
25,761 

514 
64,496 

935 
18,011 
37.958 



67.322 
5,286 
19,743 
342 
22,822 
76,419 
19,611 

2,689 
9,501 

60,233 

1,008 

868 

16,611 

94,288 
23,854 
91,387 

2,141 
242,790 

2,553 
65,1 
85,431 



1 16,956 

13,604 

33,850 

1,084 

40,310 

102,540 
39,521 

22,184 

16,235 

152,811 

3,241 

3,095 

134,281 

228,360 

106,667 

195,963 

5,703 

510,143 

4,333 

65,188 

85,431 



189,454 
25,241 
59,545 
2,130 
56,367 

127,272 
64,386 

61,095 

25,899 

271.518 

7,657 

6,685 

345,188 

272,483 

246,959 

325,777 

10,726 

827.498 

6.296 

65,188 

85,431 



7.0 
1.8 
6.1 
1.2 
7.9 
23.3 
4.1 

.2 
7.1 
2.1 

.3 
1.7 
O 

2,2 

.3 

42 

1.8 

41 

8.5 

27.6 

44.4 



17.8 
9.6 
13.3 

7.3 
25.9 
44.3 
149 

2.4 
15.8 
12.5 
3.0 
4.5 
1.7 

27.1 

2.9 

148 

7.4 

15.5 

23.2 

100.0 

100.0 



34.1 



23.4 
30.4 
49.2 
27.4 
59.3 
48.4 
55.6 
51.6 



34.7 
51.3 



48.0 



31.0 
24.6 

22.7 
23.2 
45.8 
59.5 
301 

19.4 
27.0 
31.7 
9.6 
16.2 
13.4 

65.6 
13.0 

31.8 
19.7 
32.5 
39.4 
100.0 
100.0 



52.5 



43.0 
51.1 
69.1 

46.2 
75.2 
62.4 
72.6 
64.0 



541 
65.8 



63.5 



50.2 
45.7 
40.0 
45.6 
64.1 
73.8 
49.0 

53.5 
43.1 
56.3 
22.6 
35.0 
343 

78.3 
30.2 
52.8 
37.1 
52.8 
57.2 
100.0 
100.0 



'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 
^Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 
^Includes arson. 
*Less than one-tenth of 1 percent. 



197 



Table 42. — City Arrests, Distribution by Sex, 1983 

[7.457 agencies; 1983 estimated population 139,728,000] 



OtTense charged 



Number of persons arrested 



Total 



Male 



Female 



Percent 
male 



Percent 
female 



Percent distnbution' 



Total 



Male 



Female 



TOTAL . 



Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 

Aggravated assault . 

Burglary 

Larceny-theft 

Motor vehicle theft 
Arson 



Violent cnme^ ..- 
Property crime^ 



Crime Index total^ . 



Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlemert 

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 

OiTenses against family and children.. , 

Driving under the influence 



Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other ofTenses (except trafTic) .... 

Suspicion 

Curfew and loitering law violations . 
Runaways 



7,977.054 



13.561 

22,953 

115,665 

194,633 

3n.734 

989,394 

81,831 

12,610 



346,812 
1,395,569 



1.742.381 



377,198 
55,110 

148,843 
4,674 
87,985 

172,339 

131.479 

114,177 

60,052 

482,547 

33,897 

19,097 

1,005,298 

347.958 

818,657 

617.067 

28,944 

1,567,647 

11,005 

65,188 

85,431 



6.620,524 



1,356,530 



83.0 



17.0 



11.767 

22,746 

107,073 

167.320 

290,341 

688,677 

74,528 

11,050 



1,794 

207 

8,592 

27,313 

21,393 

300,717 

7,303 

1,560 



86.8 
99.1 
92.6 
86.0 
93.1 
69.6 
91.1 
87.6 



13.2 
.9 

7.4 
14.0 

6.9 
30.4 

8.9 
12.4 



308,906 
1,064,596 



37,906 
330,973 



89.1 
76.3 



109 
23.7 



1,373.502 



368,879 



78.8 



21.2 



321,289 
36,450 
94.042 
3,107 
77,692 
155,617 
120,999 

33,686 
55,168 

416,195 
30,303 
15,589 

886,153 

291,661 

747,592 

516,049 

26,177 

1,324,423 

9,409 

49,962 

35,459 



55.909 
18,740 
54,801 
1,567 
10,293 
16,722 
10.480 

80,491 
4.884 

66,352 

3,594 

3,508 

119,145 

56,297 
71,065 
101,01 

2,767 

243,224 

1,596 

15,226 

49,972 



85.2 
66.0 
63.2 
66.5 
88.3 
90.3 
92.0 

29.5 
91.9 
86.2 
89.4 
81.6 
88.1 

83.8 
91.3 
83.6 
90.4 
84.5 
85.5 
76.6 
41.5 



14.8 
34.0 
36.8 
33.5 
11.7 
9.7 
8.0 

70.5 
8.1 
13.8 
106 
18.4 
11.9 

16.2 
8.7 
16.4 
9.6 
15.5 
14.5 
23.4 
58.5 



)00.0 



.2 

.3 

1.4 

2.4 

3.9 

12.4 

1.0 

.2 



4.3 
17.5 



21.8 



4.7 
.7 
1.9 
.1 
1.1 
2.2 
1.6 

1.4 

.8 

6.0 

.4 

.2 

12.6 

4.4 

10.3 

7.7 

.4 

19.7 

.1 

.8 

1.1 



100.0 



.2 

.3 

1.6 

2.5 

4.4 

10.4 

1.1 

.2 



4.7 
16.1 



20.7 



4.9 
.6 
1.4 

e) 

1.2 
2.4 
1.8 



6.3 

.5 

.2 

13.4 

4.4 

11.3 

7.8 

.4 

20.0 

.1 

.8 

.5 



100.0 



.1 
(') 

.6 

2.0 

1.6 

22.2 

.5 
.1 



2.8 
24.4 



27.2 



4.1 
1.4 
4.0 
.1 
8 
1.2 



5.9 

,4 

4-9 

.3 

.3 



4.2 
5.2 
7.4 
.2 
17.9 

1.1 

3.7 



'Because of rounding, the percentages may not add to total. 
^Less than one-tenth of 1 percent. 

'Violent cnmes are offenses of murder, forcible rape, robbery, and* aggravated assault. 
*Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 
Includes arson. 



198 



Table 43. — City Arrests, Distribution by Race, 1983 

7,434 agencies; 1983 estimated population 139,458,000] 



Offense charged 



Total airests 



Total 



White 



Black 



American 
Indian 



Alaskan 

Native 



Pacific 
Islander 



Percent distnbution' 



Total 



White 



Black 



American 
Indian 



Alaskan 
Native 



Pacific 
Islander 



TOTAL.. 



Vlurder and nonnegligent manslaughter.. 

Forcible rape 

Robbery 

\ggravated assault 

Burglary 

Larceny-theft 

Viotor vehicle theft 

\rson 



Violent crime' .. 
Property crime^ 



Crime Index total 



Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, possessing. 

Vandalism 

Weapons; carrying, possessing, etc 



Prostitution and commercialized vice... 
Sex offenses (except forcible rape and 

prostitution) 

Drug abuse violations 

Gambling 

Offenses against family and children.... 
Driving under the influence 



Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) 

Suspicion 

Curfew and loitering law violations . 
Runaways 



7,953,898 



13,543 

22,908 

115,552 

194,148 

311,120 

986,376 

81,719 

12,588 



346,151 
1.391,803 



1,737,954 



376,740 
55,102 

148,819 
4,661 
87,680 

172.041 

131,272 

114,158 

59.927 

481,225 

33.875 

18,967 

999,544 

346,081 

816,656 

615,82! 

28,900 

1.563,478 

10,929 

64.833 

85,235 



.S,4i:,925 



2,410,871 



72,594 



57,508 



100.0 



68.1 



5,802 

10,091 

38,961 

106,306 

196,484 

622,148 

50,178 

9,028 



7,560 

12.500 

75,176 

84.836 

1 10,772 

344.375 

30.042 

3,389 



60 

162 

639 

1,636 

1,927 

9,078 

639 

112 



121 

155 

776 

1.370 

1,937 

10.775 

860 

59 



100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



42.8 
44.1 
33.7 
54.8 
63.2 
63.1 
61,4 
71.7 



161.160 
877,838 



180,072 
488.578 



2,497 
11.756 



2.422 
13.631 



100.0 
100,0 



46.6 
63.1 



1,038,998 



668,650 



14,253 



16,053 



100.0 



59.8 



227,130 

33,593 

90,114 

3,291 

51,502 

130,975 
76,726 

58,938 

44,708 

312,460 

10,305 

11,670 

874,394 

303,649 

647,560 

373,807 

18,339 

982,684 

6,056 

44.897 

71,129 



144,376 
20,904 
57,266 
1,301 
35,380 
38,828 
53,100 

53,619 

14,221 
163,591 

22,179 

7,049 

111,207 

33.431 

150.446 

234,468 

9,872 

554,533 

4.810 

19,244 

12,396 



2,882 

296 

627 

19 

433 

1,358 
608 

390 

593 

1,695 

21 

181 
8,948 

6,667 

17,111 

5,475 

484 

9.350 

21 

427 

755 



2,352 
309 
812 
50 
365 
880 
838 

1,211 

405 

3,479 

1,370 

67 

4,995 

2,334 

1,539 

2,071 

205 

16,911 

42 

265 

955 



100.0 
100.0 
100.0 
100.0 
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 
lOO.O 
100.0 
100.0 



60.3 
61,0 
60.6 
70.6 
58.7 
76.1 
58.4 

51.6 

74.6 
64.9 
30.4 
61.5 
87.5 

87.7 
79.3 
60.7 
63.5 
62.9 
55.4 
69.3 
83.5 



30.3 



55.8 
54.6 
65.1 
43.7 
35.6 
34.9 
36.8 
26.9 



52.0 
35.1 



38.5 



38.3 
37.9 
38.5 
27.9 
40.4 
22.6 
40.5 

47.0 

23,7 
34,0 
65,5 
37,2 
11.1 

9.7 
18.4 
38.1 
34.2 
35.5 
44.0 
29.7 
14.5 



1.0 
.4 
.1 

1.0 
.9 

1.9 

2.1 
.9 

1.7 
.6 

.2 
.7 
,9 



.9 
.7 
.7 
.7 
.6 
1.1 
1.1 
.5 



.7 
1.0 



.6 
.6 
.5 
1.1 
.4 
.5 
.6 

1.1 

.7 
.7 
4.0 
.4 
.5 

.7 
.2 
.3 
.7 

I.l 
.4 
.4 

1.1 



See footnotes at end of table. 



199 



Table 43. — City Arrests, Distribution by Race, 1983 — Continued 



Offense charged 



Arrests under 18 



Total 



White 



Black 



American 
Indian 



Alaskan 
Native 



Asian 

or 
Pacific 
Islander 



Percent distribution 



Total 



White 



Black 



American 
Indian 



Alaskan 

Native 



TOTAL 

Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Ajson 

Violent crime^ 

Property crime^ 

Crime Index total* 

Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, 

possessing 

Vandalism 

Weapons; carrj'ing, 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 

Curiew and loitering law violations 

Runaways 



1,456,547 



1,090 

3,612 

32,342 

27,058 

122,486 

328,933 

29,010 

5,074 



64,102 
485.503 



549,605 



67,239 

5,280 

19,732 

341 

22,752 
76,269 
19,583 

2,689 

9,486 
59,584 

1,008 

853 

16,500 

93,737 
23,769 
91,245 

2,129 
242,155 

2,523 
64,833 
85,235 



1,024,258 



408,991 



10,312 



12,986 



100.0 



70.3 



479 

1,329 

9,109 

15,222 

83,447 

218,680 

19,450 

4,114 



594 

2.241 

22,848 

11,480 

37.318 

103,215 

8.918 

899 



5 

24 

89 

175 

742 

3,047 

234 

38 



12 

18 

296 

181 

979 

3.991 

408 

23 



100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



43.9 
36.8 
28.2 
56.3 
68.1 
66.5 
67.0 
81.1 



26,139 
325,691 



37,163 
150,350 



293 
4,061 



507 
5,401 



100.0 
100.0 



40.8 
67.1 



.351,830 



187,513 



4,354 



5,908 



100.0 



64.0 



40,311 

4.219 

9,215 

267 

14.668 
62,028 
12.702 

1,235 

6,512 

45.483 
245 
643 

15.831 

88,550 
21.799 
60,854 

1,762 
167,985 

2,093 
44,897 
71,129 



25,840 

983 

10,320 

69 

7,827 
13,434 
6,666 

1,423 

2,876 

13,149 

717 

199 

453 

3,422 

1.510 

29,755 

341 

70,437 

417 

19,244 

12,396 



439 

48 

25 

2 

151 

412 
64 

14 

42 
312 

6 
162 

1.421 
411 
405 
18 
839 
5 
427 
755 



649 


100.0 


30 


100.0 


172 


100.0 


3 


100.0 


106 


100.0 


395 


100.0 


151 


100.0 



100.0 



56 


100.0 


640 


100.0 


46 


100.0 


5 


100.0 


54 


100.0 


344 


100.0 


49 


100.0 


231 


100.0 


8 


100.0 


894 


100.0 


8 


100.0 


265 


100.0 


955 


100.0 



60.0 
79.9 
46.7 
78.3 

64.5 
81.3 
64.9 

45.9 

68.6 
76.3 
24.3 
75.4 
95.9 

94.5 
91.7 
66.7 
82.8 
69.4 
83.0 
69.3 
83.5 



28.1 



545 
62.0 
70.6 
42.4 
30.5 
31.4 
30.7 
17.7 



58.0 
31.0 



34.1 



38.4 
18.6 
52.3 
20.2 

34.4 
17.6 
34.0 

52.9 



30.3 


.4 


22.1 


.5 


71 1 




23.3 


.7 


2.7 


1.0 


3.7 


1.5 


6.4 


1.7 


32.6 


.4 


16.0 


.8 


29.1 


.3 


16.5 


.2 


29.7 


.7 


145 


.9 



See footnotes at end of table. 



200 



»le 43. — Oty Arrests, Distribution by Race, 1983 — Continued 



Offense charged 



Arrests 18 and over 



Total 



White 



Black 



American 
Indian 



Alaskan 
Native 



Asian 



Pacific 
Islander 



Percent distribution 



Total 



White 



Black 



American 
Indian 



Alaskan 
Native 



Pacific 
Islander 



TOTAL 

rder and nonnegligent manslaughter 

^ible rape 

ibery 

xavated assault 

glaiy 

ceny-theft 

tor vehicle theft 

>n 

Violent crime^ 

Property crime^ 

Crime Index total* 

er assaults 

gery and counterfeiting 

ud 

bezzlement 

en property: buying, receiving, 

assessing 

idalism 

tpons; carrying, possessing, etc 

stitution and commercialized vice ... 
offenses (except forcible rape and 

rostitution) 

ig abuse violations 

nbling 

cnses against family and children 

ving under the influence 

uor laws 

mkenness 

orderly conduct 

jrancy 

other offenses (except traffic) 

ipicion 

rfew and loitering law violations 

naways 



6,497,351 



12,453 

19,296 

83,210 

167,090 

188.634 

657,443 

52,709 

7,514 



282,049 
906,300 



1,188,349 



309,501 

49.822 

129,087 

4,320 

64,928 
95,772 
111,689 

111,469 

50,441 

421,641 

32,867 

18,114 

983,044 

252,344 

792,887 

524,576 

26,771 

1,321,323 

8.406 



4,388,667 



2,001,880 



62,282 



44,522 



100.0 



67.5 



5,323 

8,762 

29,852 

91,084 

113,037 

403,468 

30,728 

4.914 



6,966 
10,259 
52,328 
73,356 
73,454 
241.160 
21,124 

2,490 



55 

138 

550 

1,461 

1,185 

6,031 

405 

74 



109 
137 
480 

1,189 
958 

6.784 

452 

36 



100.0 
100.0 
100,0 
100.0 
100.0 
100.0 
100.0 
100.0 



42.7 
45.4 
35.9 
54.5 
59.9 
61.4 
58.3 
65.4 



135,021 
552,147 



142,909 
338,228 



2.204 
7,695 



1.915 
8,230 



100.0 
100.0 



47.9 
60.9 



687,168 



481,137 



9,899 



10,145 



100.0 



57.8 



186,819 

29,374 

80,899 

3,024 

36,834 
68,947 
64,024 

57,703 

38,196 

266,977 

10,060 

11,027 

858,563 

215,099 
625,761 
312,953 
16,577 
814,699 
3,963 



118,536 

19.921 

46,946 

1,232 

27,553 
25,394 
46,434 

52,196 

11,345 
150,442 

21.462 

6,350 

110,754 

30,009 
148,936 
204,713 

9,531 
484,096 

4,393 



2,443 

248 

602 

17 

282 
946 
544 

376 

551 

1,383 

21 

175 
8,786 

5,246 
16,700 
5,070 
466 
8,511 
16 



1,703 
279 
640 

47 

259 
485 
687 

1,194 

349 

2,839 

1,324 

62 

4,941 

1,990 

1,490 

1,840 

197 

14,017 

34 



100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100,0 

100.0 

100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



60.4 
59.0 
62.7 
70.0 

56.7 
72.0 
57.3 

51.8 

75,7 
63,3 
30,6 
60,9 
87,3 

85.2 
78,9 
59,7 
61,9 
61,7 
47.1 



30.8 



55.9 
53.2 
62.9 
43.9 
38.9 
36.7 
40.1 
33.1 



50.7 
37.3 



40.5 



38.3 
40.0 
36.4 
28.5 

42.4 
26.5 
41.6 

46.8 

22.5 
35.7 
65.3 
37.8 
11.3 

11.9 
18.8 
39.0 
35.6 
36.6 
52.3 



1.0 



1.1 
.3 
.1 

1.0 
.9 

2.1 
2.1 
1.0 
1.7 
.6 
.2 



.9 
.7 
.6 
.7 
.5 
1.0 
.9 
,5 



.6 
.6 
.5 
1.1 

,4 
.5 
.6 

1.1 

.7 
.7 
4,0 
.3 
,5 



.2 
,4 
.7 
1.1 
.4 



'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. 



201 



Table 44. — City Arrests, Distribution by Ethnic Origin, 1983 

[6,728 agencies; 1983 estimated fiopulation 126,428,000] 



Offense charged 



TOTAL 

Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 

Violent crime' 

Property crime^ 

Crime Index total^ 

Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, possessing 

Vandalism 

Weapons; carrying, possessing, etc 

Prostitution and commercialized vice 

Sex offenses (except forcible rape and prostitution) 

Drug abuse violations 

Gambling 

Offenses against family and children 

Drivmg under the influence 

Liquor laws 

Drunkenness --...... 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) 

Suspicion 

Curfew and loitering law violations 

Runaways 



Total all ages 



Number of arrests 



Total 



7,251,607 



12,542 

20,937 

106,909 

172,418 

280,147 

887,551 

74.412 

11,491 



312,806 
1,253,601 



1,566,407 



352,332 
49,954 

137,803 
4.344 
80,180 

161.152 

119,804 

105,164 
53,948 

433,635 
29,671 
17,089 

915,413 

312,756 

759,302 

568,612 

26,557 

1,411,789 

6,340 

60,411 

78,944 



Hispanic 



897,184 



2,181 
2,220 
13,199 
23,220 
40.458 
99,568 
11,910 
932 



40.820 
152,868 



193,688 



Non- 
Hispanic 



6,354,423 



10.361 

18,717 

93.710 

149,198 

239,689 

787,983 

62,502 

10,559 



271,986 
1.100,733 



1,372,719 



33,331 


319,001 


3.419 


46,535 


9,223 


128,580 


330 


4.014 


10,894 


69,286 


14,170 


146,982 


17,659 


102.145 


6.652 


98,512 


5.936 


48,012 


69,784 


363,851 


3,400 


26.271 


919 


16.170 


112.207 


803.206 


24,297 


288.459 


139.675 


619,627 


51.159 


517,453 


4,319 


22.238 


184,351 


1,227,438 


663 


5,677 


4,246 


56.165 


6,862 


72,082 



Percent distribution 



Total 



100.0 



100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



100.0 
lOO.O 



100.0 



100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

lOO.O 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



Hispanic 



12.4 



17.4 
10.6 
12.3 
13.5 
14.4 
11.2 
16.0 
8.1 



13.0 
12.2 



12.4 



9.5 
6.t 
6.7 
7.6 

13.6 
8.8 

14.7 

6.3 
11.0 
16.1 
11.5 

5.4 
12.3 

7.8 
18.4 

9.0 
16.3 
13.1 
10.5 

7.0 

8.7 



See footnotes at end of table. 



202 



le 44. — aty Arrests, Distribution by Ethnic Origin, 1983 — Continued 



Offense charged 



Under 18 years of age 



Number of arrests 



Total 



Hispanic 



Non- 
Hispanic 



Percent distinbution 



Total 



Hispanic 



Non- 
Hispanic 



TOTAL 

der and nonnegligent manslaughter 

ible rape 

xry 

ravated assault 

;lary 

eny-theft 

jr vehicle theft 

m 

Violent crime' 

Property crime^ 

iCrime Index total' 

T assaults 

ery and counterfeiting 

d 

ezzlement 

-n property; buying, receiving, possessing 

lalism 

pons; carrying, possessing, etc 

titution and commercialized vice 

offenses (except forcible rape and prostitution) 

; abuse violations 

ibling 

>ises against family and children 

ing under the iniluence 

or laws 

ikenness 

Tderly conduct 

•ancy 

other offenses (except traffic) 

ticion 

ew and loitering law violations 

aways 



1,343,862 



1,034 

3,314 

30,509 

24,107 

110,823 

298,016 

26,622 

4,690 



58,964 
440,151 



499,115 



63.379 
4,861 
19,450 
325 
21,052 
71,303 
18,469 

2,441 

8,854 

54,269 

958 

751 

15,207 

86,649 
22,079 
86,960 

1,994 
224,448 

1,943 
60.411 
78,944 



168,603 



1,175,259 



244 

291 

3,900 

3,712 

15,447 

31,321 

3,672 

422 



790 

3,023 

26,609 

20,395 

95,376 

266,695 

22,950 

4,268 



8,147 
50,862 



50,817 
389,289 



59,009 



440,106 



6,904 
357 
5,011 
38 
2,778 
6,838 
3,107 

159 

981 

9,234 

72 

33 

1,676 

5,576 
5,941 
9,946 

316 
39,289 

230 
4,246 
6,862 



56,475 
4,504 
14,439 
287 
18,274 
64,465 
15,362 

2,282 

7,873 

45,035 

886 

718 

13.531 

81,073 
16,138 
77,014 

1,678 
185,159 

1,713 
56,165 
72,082 



100.0 



100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100,0 



100.0 
100.0 



100.0 



100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
lOO.O 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



12.5 



23.6 
8.8 
12.8 
15.4 
13.9 
10.5 
13.8 
9.0 



13.8 
11.6 



lis 



10.9 

7.3 
25.8 
11.7 
13.2 

9.6 
16.8 

6.5 
11.1 
17.0 
7.5 
44 
11.0 

6.4 
26.9 
11.4 
15.8 
17.5 
11.8 
7.0 
8.7 



87.5 



76.4 
91.2 
87.2 
84.6 
861 
89.5 
86.2 
91.0 



86.2 
88.4 



89.1 
92.7 
74.2 
88.3 
86.8 
90.4 
83.2 

93.5 
88.9 
83.0 
92.5 
95.6 
89.0 

93.6 
73.1 
88.6 
84.2 
82.5 
88.2 
93.0 
91.3 



See footnotes at end of table. 



203 



Table 44. — Oty Arrests, Distribution by Ethnic Origiii, 1983 — Continued 



Offense charged 



18 years of age and over 



Number of arrests 



Total 



Hispanic 



Non- 
Hispanic 



Percent distribution 



Total 



Hispanic 



TOTAL 

Murder and nonnegligent manslaughter 

Forcible rape j 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft ,' 

Motor vehicle theft 

Arson 

Violent crime' , 

Properly crime^ 

Crime Index total' 

Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, possessing 

Vandalism 

Weapons; carrying, possessing, etc 

Prostitution and commercialized vice 

Sex offenses (except forcible rape and prostitution) 

Drug abuse violations 

Gambling 

Offenses against family and children 

Driving under the influence 

Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) 

Suspicion 

Curfew and loitering law violations 

Runaways 



5,9(n,745 



1 1,508 

17,623 

76,400 

148,311 

169,324 

589,535 

47,790 

6,801 



253,842 
813,450 



1,067,292 



288,953 
45,093 

118,353 

4,019 

59,128 

89,849 

101,335 

102,723 
45,094 

379,366 
28,713 
16,338 

900,206 

226,107 

737,223 

481,652 

24,563 

1.187,341 

4,397 



728,581 



5,179,164 



1,937 

1,929 

9,299 

19,508 

25,011 

68,247 

8,238 

510 



32,673 
102,006 



134,679 



26,427 
3,062 
4,212 
292 
8,116 
7,332 

14,552 

6,493 

4,955 

60,550 

3,328 

886 

110,531 

18,721 

133,734 

41,213 

4,003 

145,062 

433 



9,571 

15,694 

67,101 

128,803 

144,313 

521,288 

39,552 

6,291 



221,169 
711,444 



932,613 



262,526 
42,031 

114,141 
3,727 
51.012 
82.517 
86,783 

96,230 
40,139 

318,816 
25,385 
15,452 

789,675 

207,386 

603,489 

440,439 

20,560 

1,042,279 

3,964 



100.0 



100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



100.0 
100.0 



100.0 



100.0 
lOO.O 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



12.3 



16.8 
10.9 
12.2 
13.2 
14.8 
11.6 
17.2 
7.5 



12.9 
12.5 



12.6 



9.1 
^.8 
3.6 
7.3 

13.7 
8.2 

14.4 

6.3 
11.0 
16.0 
11.6 

5.4 
12.3 

8.3 
18.1 

8.6 
16.3 
12.2 

9.8 



'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 
^Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson, 
'includes arson. 



204 



,le 45. — Suburban County Arrest Trends, 1982-1983 

! agencies; 1983 estimated population 31,824,000] 



Offense charged 


Number of persons arrested 


Total all ages 


Under 18 years of 


age 


1 8 years of age and 


over 


1982 


1983 


Percent 
change 


1982 


1983 


Percent 
change 


1982 


1983 


Percent 
change 


TOTAL 


1,261,720 


1,276,005 


+ 1.1 


180,791 


167,312 


-7.5 


1,0804>29 


1,108,693 


+ 2.6 






2,713 

4,276 

14,047 

39,594 

65,969 

120.292 

14,625 

2,600 


2,554 

4,303 

13,471 

38,778 

60,393 

114,180 

14,226 

2,589 


-5.9 
+ .6 
^.1 
-2.1 
-8.5 
-5.1 
-2.7 
-.4 


173 

540 

2,717 

5,107 

25,727 

34,959 

4,842 

978 


143 

513 

2,308 

4,685 

22,583 

32,235 

4,405 

897 


-17.3 
-5.0 

-15.1 
-8.3 

-12.2 
-7.8 
-9.0 
-8.3 


2,540 

3,736 

11,330 

34,487 

40,242 

85,333 

9,783 

1,622 


2,411 

3,790 

11.163 

34.093 

37.810 

81,945 

9,821 

1,692 


-5.1 




+ 1.4 




-1.5 




-1.1 




-6.0 




^.0 




+ .4 




+ 4.3 








60,630 
203,486 


59,106 
191,388 


-2.5 
-5.9 


8,537 
66,506 


7,649 
60,120 


-10.4 
-9.6 


52,093 
136,980 


51,457 
131,268 


-1.2 




-A.2 


Crime Index total^ 




264.116 


250,494 


-5.2 


75,043 


67,769 


-9.7 


189,073 


182,725 


-3.4 






61,226 
13,209 
64,536 
1,579 
15,428 
23,687 
18,528 

3,817 

8,911 

71,526 

2,694 

13,860 

291,355 

25,856 

83,062 

33,580 

2,938 

241,263 

288 

2,005 

18,544 


61,764 
10,770 
60,953 
1,952 
15,285 
23,180 
18,622 

4,179 

10,630 

80,489 

3,265 

14,717 

312,629 

26,237 

79,619 

30,490 

1,716 

248,772 

193 

2.042 

18.200 


+ .9 

-18.5 

-5.6 

+ 23.6 

-.9 

-2.1 

+ .5 

+ 9.5 

+ 19.3 

+ 12.5 

+ 21.2 

+ 6.2 

+ 7.3 

+ 1.5 
^.1 
-9.2 

^1.6 
+ 3.1 

-33.0 
+ 1.8 
-1.9 


8,285 

1,027 

860 

103 

2,933 

10,335 

2,244 

86 

1,555 

8,944 

40 

273 

4.217 

9,821 

3,368 

4,562 

470 

26,076 

42 

2,005 

18,544 


8,031 
788 
746 
100 

2,626 
10,329 

2,145 

107 

1,783 

8,601 

47 

295 

3,892 

8,821 

2,979 

4,046 

289 

23,676 

77 

2,042 

18,200 


-3.1 
-23.3 
-13.3 

-2.9 

-10.5 

-.1 

^.4 

+ 24.4 

+ 14.7 
-3.8 

+ 17.5 
+ 8.1 
-7.7 

-10.2 

-11.5 

-11.3 

-38.5 

-9.2 

+ 83.3 

+ 1.8 

-1.9 


52,941 
12,182 
63,676 
1,476 
12,495 
13,352 
15,284 

3,731 

7,356 

62,582 

2,654 

13,587 

287,138 

15,035 

79,694 

29,018 

2,468 

215,187 

246 


53,733 
9,982 
60,207 
1.852 
12,659 
12,851 
16,477 

4,072 

8,847 
71,888 

3,218 

14,422 

308,737 

17,416 

76,640 

26,444 

1,427 

225,096 

116 


+ 1.5 




-18.1 


ad 


-5.4 




+ 25.5 




+ 1.3 




-3.8 


Hpons; carrying, possessing, etc 


+ 1.2 
+ 9.1 




+ 20.3 




+ 14.9 




+ 21.3 




+ 6.1 




+ 7.5 




+ 8.6 




-3.8 




-8.9 




.^2.2 
+ 4.6 




-52.8 























'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 
'Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 
^Includes arson. 



205 



Table 46. — Suburban County Ar-^est Trends, Sex, 1982-1983 

[882 agencies; 1983 estimated population 31,824,000] 



Offense charged 



Males 



Total 



1982 



1983 



Percent 
change 



Under 18 



1982 



1983 



Percent 
change 



Females 



Total 



1982 



1983 



Percent 
change 



Under 18 



1982 



1983 



TOTAL 

Murder and nonnegligent 

manslaughter 

Forcible rape , 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 

Violent crime' 

Property crime^ 

Crime Index total' 

Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, 

possessing 

Vandalism 

Weapons; carrying, possessing, etc.... 

Prostitution and commerciahzed vice 
Sex offenses (except forcible rape 

and prostitution) 

Drug abuse violations 

Gambling 

Offenses against family and children 
Driving under the influence 

Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) 

Suspicion (not included in totals) 

Curfew and loitering law violations . . 
Runaways 



1,057,210 



1,067,257 



142,620 



130,591 



-8.4 



204,510 



208,748 



+ 2.1 



38,171 



2,383 
4,231 
13.070 
34,905 
61,447 
87,625 
13,299 
2,289 

54,589 
164,660 



219,249 



52,674 
9,142 

35,156 
1,118 

13,767 
21,493 
17,052 

1,092 

8,366 

60,170 

2,289 

13,038 

259,059 

21,463 

74,963 

28,665 

2,461 

206,330 

264 

1,528 

8.135 



2,215 
4,269 
12,559 
33,936 
56,128 
82,249 
12,927 
2.268 

52,979 
153,572 



-7.0 
+ .9 
-3.9 
-2.8 
-8.7 
-6.1 
-2.8 
-.9 

-2.9 
-6.7 



155 
534 

2,538 

4,327 

23,858 

26,410 

4,322 

876 

7,554 
55,466 



120 

507 

2,155 

4,023 

20,965 

24,272 

3,897 

794 

6,805 
49,928 



-22.6 
-5.1 

-15.1 
-7.0 

-12 1 
-8.1 
-9.8 
-9.4 

-9.9 
-10.0 



330 

45 

977 

4,689 

4,522 

32,667 

1,326 

311 

6,041 
38,826 



339 

34 

912 

4,842 

4,265 

31,931 

1,299 

321 

6,127 
37,816 



+ 2.7 
-24.4 
-6.7 
+ 3.3 
-5.7 
-2.3 
-2.0 
+ 3.2 

+ 1.4 
-2.6 



18 

6 

179 

780 

1,869 

8,549 

520 

102 

983 
11,040 



206,551 



-5.8 



63,020 



56,733 



-10.0 



44,867 



43,943 



-2.1 



12,023 



52,531 
7,141 

32,660 
1,306 

13,607 
20,947 
17,152 

1.531 

10,054 

67,765 

2,780 

13,869 

277,598 

21,447 

71,700 

25,995 

1,401 

211,747 

158 

1,492 

7,983 



-.3 

-21.9 

-7.1 

+ 16.8 

-1.2 
-2.5 
+ .6 

+ 40.2 

+ 20.2 

+ 12.6 

+ 21.5 

+ 6.4 

+ 7.2 

-.1 
-4.4 
-9.3 

-43.1 
+ 2.6 

-m.2 
-2.4 
-1.9 



6.675 

714 

510 

71 

2,661 
9,534 
2.098 

30 

1.483 

7,336 

33 

197 

3.686 

7,479 

2,879 

3,688 

401 

20,462 

37 

1,528 

8,135 



6,348 

570 

463 

84 

2,399 
9,453 
1,986 

48 

1,687 

7,018 

46 

188 

3.362 

6,480 

2,471 

3,266 

243 

18,271 

59 

1,492 

7,983 



-4.9 
-20.2 

-9.2 
+ 18.3 

-9.8 

-.8 

-5.3 

+ 60.0 

+ 13.8 
^.3 

+ 39.4 
^.6 



-13.4 
-142 
-11.4 
-39.4 
-10.7 
h59.5 
-2.4 
-1.9 



8,552 

4,067 

29,380 

461 

1,661 
2,194 
1,476 

2,725 

545 

11,356 

405 

822 

32,296 

4,393 

8,099 

4,915 

477 

34,933 

24 

477 

10,409 



9,233 

3,629 

28,293 

646 

1,678 
2,233 
1,470 

2,648 

576 

12,724 

485 

848 

35,031 

4,790 

7,919 

4,495 

315 

37,025 

35 

550 

10,217 



+ 8.0 
-10.8 

-3.7 
+ 40.1 

+ 1.0 



-2.8 

+ 5.7 

+ 12.0 

+ 19.8 

+ 3.2 

+ 8.5 

+ 9.0 

-2.2 

-8.5 

-34.0 

+ 6.0 

+ 45.8 

+ 15.3 

-1.8 



1,610 

313 

350 

32 

272 
801 
146 

56 

72 

1.608 

7 

76 
531 

2,342 

489 

874 

69 

5,614 

5 

477 

10,409 



36,721 



23 

6 

153 

662 

1,618 

7,963 

508 

103 

844 
10,192 



1 1,036 



1,683 

218 

283 

16 

227 
876 
159 

59 

96 

1,583 

1 

107 

530 

2,341 

508 

780 

46 

5,405 

18 

550 

10,217 



'Violent crimes arc offenses of murder, forcible rape, robbery, and aggravated assault. 
'Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 
^Includes ar^on. 
*Lcss than one-tenth of 1 percent. 



206 



Table 47. — Suburban County Arrests, Distribution by Age, 1983 

1,041 agencies; 1983 estimated population 36,510,000] 



Offense charged 



Total 
all 



Ages 

under 

15 



Ages 

under 

18 



Ages 
18 and 



Age 



Under 
10 



10-12 



13-14 



16 



19 



20 



TOTAL 

Percent distributionV 



N4urder and nonnegligent 

manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

iBurglary 

Larceny-theft 

Motor vehicle theft 

Arson 



Violent crime^ 

Percent distribution' . 

Property crime' 

Percent distribution' . 



Crime Index total* .. 
Percent distribution' 



Dther assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, 

possessing 

Vandalism 

Weapons; carrying, possessing, etc.. 



Prostitution and commercialized vice 
Sc;; offenses (except forcible rape and 

prostitution) 

Drug abuse violations 

Gambling 

Offenses against family and children... 
Driving under the influence 



Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) 

Suspicion 

Curfew and loitering law violations.. 
Runaways 



1,453,501 
100.0 



2,820 

4,860 

14,746 

43,209 

67,723 

129,990 

15,731 

3,017 



65,635 

lOO.O 

216,461 

100.0 



282,096 
100.0 



68,407 

11,921 

67,503 

2,041 

16,993 
26,497 
20,614 

4,817 

12.172 

91,106 

3,405 

16,199 

358,053 

40,307 

85,709 

35,846 

1,758 

285,535 

292 

2,158 

20,072 



59,780 
4,1 



190,284 
13.1 



1,263,217 
86.9 



4,159 
.3 



13,964 
1.0 



41,657 
2.9 



34,529 
2.4 



43,264 
3.0 



52,711 
3.6 



65,326 
4.5 



72,845 
5.0 



30 

148 

525 

1,742 

9,326 

14,407 

1.118 

574 



157 

576 

2,499 

5,243 

25,385 

37,138 

4,962 

1,010 



2,663 
4,284 
12,247 
37,966 
42,338 
92,852 
10,769 
2,007 



1 

4 
9 
149 
720 
889 
II 
137 



3 

31 

97 

469 

2,403 

3,951 

141 

161 



26 

113 

419 

1,124 

6,203 

9,567 

966 

276 



26 

100 

449 

832 

4,858 

6,576 

1,135 

159 



41 

141 

664 

1,192 

5,293 

7,709 

1,358 

144 



60 

187 

861 

1.477 

5,908 

8,446 

1,351 

133 



141 
201 
1,055 
1,706 
5,940 
7,932 
1,202 
122 



150 
220 
1,093 
1,890 
4,951 
7,375 
1,090 
139 



2,445 

3.7 

25,425 

11.7 



8,475 

12.9 

68.495 

31.6 



57,150 

87.1 

147,966 

68.4 



163 

.2 
1,757 



600 

.9 

6,656 

3.1 



1,682 

2.6 

17,012 

7.9 



1.407 

2.i 

12,728 

5.9 



2.038 

3.1 

14,504 

6.7 



2,585 

3.9 

15,838 

7.3 



3,103 

4,7 

15.196 

7.0 



3,353 

5.1 

13,555 

63 



27,870 
9.9 



76,970 
27.3 



205,126 

72.7 



1,920 

,7 



7,256 
2,6 



18,694 
6.6 



14.135 
5.0 



16,542 
5.9 



18.423 
6.5 



18,299 
6.5 



16.908 
6.0 



3,020 
121 
94 
21 

669 

5,770 
617 

17 

851 

1,479 

10 

128 

103 

814 

309 

1,112 

87 

7.668 

46 

536 

8.438 



8,873 
863 
793 
107 

2,884 
11,922 
2,359 

136 

1,986 

9,400 

50 

325 

4,649 

11,317 

3.170 

4,642 

304 

27,159 

145 

2,158 

20,072 



59,534 

11,058 

66,710 

1,934 

14.109 
14.575 
18.255 

4,68! 

10.186 

81.706 

3.355 

15,874 

353,404 

28,990 

82,5.39 

31,204 

1,454 

258,375 

147 



233 
7 
7 
1 

25 

827 

26 



6 
77 

3 
603 

3 

9 
244 



762 
17 
17 

5 

124 

1,805 

135 

3 

189 
163 



26 

12 

55 

19 

241 

12 

1,553 
12 
81 

1,477 



2,025 
97 
70 
15 

520 

3,138 

456 

13 

588 

1,286 

9 

56 
83 

751 

284 

794 

72 

5,512 

31 

446 

6,717 



1,535 

120 

92 

15 

511 

1,859 

423 

21 

391 

1,656 

3 

52 

188 

1,425 

432 

786 

57 

4,990 

19 

438 

5,371 



1,967 
221 
168 



756 

2.012 

539 

36 

346 

2.557 

7 

70 
1,096 

3,341 

846 

1,156 

83 

6,459 

52 

608 

4,364 



2,351 

401 

439 

43 

948 

2,281 

780 

62 

398 

3,598 

30 

75 

3,262 

5,737 

1,583 

1,588 

77 

8,032 

28 

576 

1,899 



2,668 

538 

1,058 

57 

1,179 

1,709 

922 

231 

442 

5,045 

41 

243 
8,422 

6,426 
3,177 
2,309 
121 
12,434 
5 



3,010 

690 

1,706 

89 

1,094 

1,325 

993 

279 

478 

5,802 

49 

309 

12,811 

5,642 
4,027 
2,254 
121 
15,249 
9 



73,502 
5.1 



119 

232 

999 

1,955 

4,037 

5,265 

914 

96 



3,305 

5.0 

11,312 

5.2 



14,617 
5.2 



3,245 

505 

2,278 

92 

997 

1,207 

965 

359 

477 

6,147 

55 

413 

14,979 

4,440 
4,259 
2,300 
105 
15,950 
II 



See footnotes at end of table.- 



207 



Table 47. — Suburban County Arrests, Distribution by Age, 1983 — Continued 



Oflfense charged 



21 



Age 



22 



23 



24 



25-29 



30-34 



35-39 40^U 45-49 



50-54 



55-59 



60-64 



65 and 
over 



TOTAL 

Percent distribution' 



Murder and nonnegligent 

manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 



Violent crime^ 

Percent distribution' , 

Property crime^ 

Percent distribution' . 



Crime Index total ... 
Percent distribution' 



Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, 

possessing 

Vandalism 

Weapons; carrying, possessing, etc.. 



Prostitution and commercialized vice.. 
Sex offenses (except forcible rape 

and prostitution) 

Drug abuse violations 

Gambling 

Offenses against family and children 

Driving under the influence 



Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) 

Suspicion 

Curfew and loitering law violations.. 
Runaways 



72,448 
5.0 



139 

248 

983 

1.980 

3,424 

5,507 

730 

118 



3,350 
5.1 

9,779 
45 



13,129 

4.7 



3,332 

612 

2,631 

79 

968 
1,044 
1,014 

373 

450 

6,286 

51 

462 

17,615 

1,831 

4,534 

2,147 

95 

15,787 



72,487 
5.0 



68,406 

4.7 



64,396 
4.4 



264,072 
18.2 



177,320 
12J 



118,800 
8.2 



78,085 
5.4 



51,884 
3.6 



35,599 
2.4 



23,159 
1.6 



139 

259 

930 

2,014 

2,956 

5,315 

779 

93 



128 

226 

774 

1,974 

2,644 

4,689 

622 

96 



108 

244 

710 

1,856 

2,125 

4,377 

579 

94 



505 

901 

2,613 

8,209 

7,817 

17,714 

1,990 

399 



401 

643 

1,541 

5,574 

4,052 

11,882 

1,079 

252 



275 

420 

699 

3,968 

1,971 

7,391 

708 

211 



179 

310 

328 

2,644 

1,031 

4,808 

424 

150 



120 
147 
252 

1,628 
586 

3,175 

289 

99 



107 
104 
112 

1,110 
366 

2,338 
158 
61 



70 

59 

98 

650 

231 

1,701 

116 

38 



3,342 
5.1 

9,143 
4.2 



3,102 

47 
8,051 

3.7 



2,918 
4.4 

7,175 
3.3 



12,228 
18.6 

27,920 
12.9 



8,159 

12.4 

17,265 

8.0 



5,362 

8.2 

10281 

4.7 



3,461 
5.3 

6,413 
3.0 



2,147 
3.3 

4.149 
1.9 



1,433 
2.2 

2,923 
1.4 



877 

1.3 

2,086 

1.0 



12,485 
4.4 



11,153 
4.0 



10093 
3.6 



40,148 
14.2 



25,424 
9.0 



15,643 
5.5 



9,874 
3.5 



6,296 
2.2 



4,356 
1.5 



2,963 
I.I 



3,461 

637 

3,008 

82 

1,045 
966 
984 

391 

442 

6,120 

54 

808 

18,269 

1,443 

4,401 

1,981 

86 

15.815 

9 



3,183 

644 

3,154 

93 

834 
824 
982 

369 

421 

6,014 

64 

743 

18,139 

1,072 

4,286 

1,812 

73 

14,535 

11 



2,995 

602 

3,217 

84 

790 
739 
839 

285 

457 

5,567 

56 

665 

17,250 

912 

3.985 

1.587 

73 

14.194 

6 



12,813 

2,606 

15,284 

414 

2,670 
2,749 
3.787 

1.035 

1.800 

19,788 

420 

3,828 
74.036 

2.929 

15.841 

6,155 

297 

57,437 

35 



8,958 

1.827 

12.680 

318 

1.643 

1,580 
2.579 

528 

1.454 

10.959 

423 

3.330 
52.968 

1.510 

11.151 

3.580 

202 

36.189 

17 



6.168 
997 

9.051 
266 

1,196 
1.017 
1,768 

287 

1,291 

5,162 

457 

2.380 

38.525 

928 
8.063 
2.424 

lot 

23.060 
11 



3,960 
566 

5,508 
140 

668 

586 

1,267 

189 

773 

2.330 

412 

1.372 

27,502 

615 

5.902 

1.694 

66 

14.654 

7 



2.382 

376 

3.182 

82 

417 
334 
884 

134 

539 

1.164 

355 

705 

19.685 

452 

4.491 

1.142 

35 

9.223 

6 



1.497 

178 

2.076 

67 

295 
219 
565 

87 

424 
642 
352 
358 
13.999 

325 

3.467 

744 

29 

5.915 

4 



910 
90 

984 
34 

150 
128 
370 

62 

302 
354 
245 
157 
9.770 

211 

2,345 

520 

24 

3,537 

3 



12,660 
.9 



29 
33 
13 
412 
58 
1,004 
32 
15 



487 

.7 

1,109 

.5 



1.596 
.6 



495 
48 

456 
26 

87 
74 
141 

25 

194 
160 
170 
61 
5.307 

131 

1.400 

264 

13 

2.011 

1 



2.386 
4 



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. 



208 



ible 48. — Suburban County Arrests of Persons under 15, 18, 21, and 25 Years of Age, 1983 

041 agencies; 1983 estimated population 36,510,000] 



Offense charged 


Total all 
ages 


Number of persons arrested 


Percent of totiil all ages 


Under 15 


Under 18 


Under 21 


Under 25 


Under 
15 


Under 
18 


Under 

21 


Under 
25 


TOTAL 


1,453,501 


59,780 


190,284 


401,957 


679,694 


4.1 


13.1 


27.7 


46.8 








2.820 

4,860 

14,746 

43,209 

67.723 

129.990 

15,731 

3,017 


30 

148 

525 

1.742 

9,326 

14,407 

1,118 

574 


157 

576 

2,499 

5,243 

25,385 

37,138 

4,962 

1.010 


567 

1,229 

5,646 

10.794 

40.313 

58.710 

8,168 

1,367 


1,081 
2,206 
9,043 
18.618 
51.462 
78.598 
10,878 
1,768 


1.1 
3.0 
3.6 
4.0 
13.8 
11,1 
7.1 
19.0 


5.6 
11.9 
16.9 
12.1 
37,5 
28.6 
31.5 
33.5 


20.1 
25.3 
38.3 
25.0 
59.5 
45.2 
51.9 
45.3 


38.3 




45.4 




61.3 




43.1 




76.0 




60.5 




69.2 




58.6 








65,635 
216,461 


2,445 
25,425 


8.475 
68,495 


18,236 
108,558 


30,948 
142,706 


3.7 
11.7 


12.9 
31.6 


27.8 
50 2 


47.2 




65.9 








282.096 


27,870 


76,970 


126,794 


173,654 


9.9 


27.3 


44.9 


61.6 








68,407 
11,921 
67,503 
2,041 
16,993 
26,497 
20,614 

4,817 
12,172 
91.106 

3.405 

16,199 

358,053 

40,307 

85,709 

35,846 

1,758 

285,535 

292 

2,158 

20,072 


3,020 

121 

94 

21 

669 

5,770 

617 

17 

851 

1,479 

10 
128 
103 

814 

309 

1,112 

87 

7,668 

46 

536 

8,438 


8.873 
863 
793 
107 

2.884 
11.922 

2,359 

136 

1,986 

9,400 

50 

325 
4,649 

11,317 

3,170 

4,642 

304 

27.159 

145 

2,158 

20,072 


17,797 
2,696 
5,835 
345 
6,154 

16,163 
5,239 

1,005 
3,383 

26,394 

195 

1,290 

40,861 

27,825 

14,633 

11,505 

651 

70,792 

170 

2,158 

20,072 


30,768 
5,191 

17.845 

683 

9,791 

19,736 
9,058 

2,423 

5.153 

50.381 

420 

3,968 

112,134 

33.083 

31.839 

19,032 

978 

131,123 

204 

2.158 

20.072 


4.4 
1.0 
.1 
1.0 
3.9 
21.8 
3.0 

.4 
7,0 
1.6 
.3 
.8 
(') 

2.0 

.4 

3.1 

4.9 

2.7 

15.8 

24.8 

42.0 


13.0 

7.2 

1.2 

5.2 

17.0 

45.0 

11.4 

2.8 
16.3 
10.3 
1.5 
2.0 
1.3 

28.1 

3.7 

12.9 

17.3 

9.5 

49.7 

100.0 

100.0 


26.0 
22.6 
8.6 
16.9 
36.2 
61.0 
25.4 

20.9 
27.8 
29.0 
5.7 
8.0 
11.4 

69.0 
17.1 
32.1 
37.0 
24.8 
58.2 
100.0 
100.0 


45,0 




43.5 




26.4 




33.5 




57.6 




74.5 




43.9 




50.3 




42.3 




55.3 




12.3 




24.5 




31.3 




82.1 




37.1 




53.1 




55.6 




45.9 




69.9 




100.0 




100.0 







'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 
^Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 
^Includes arson. 
'Less than one-tenth of 1 percent. 



209 



Table 49. — Suburban County Arrests, Distribution by Sex, 1983 

[1,041 agencies; 1983 estimated population 36,510,000] 



Offense charged 



TOTAL 

Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 

Violent crime^ 

Property crime* , 



Crime Index total' 



Other assaults 

Forgery and counterfeiting 

Fraud , 

Embezzlement 

Stolen property; buying, receiving, 

possessing , 

Vandalism 

Weapons; carrying, possessing, etc 

Prostitution and commercialized vice. 
Sex offenses (except forcible rape and 

prostitution) 

Drug abuse violations 

Gambling 

Offenses agamst family and children.. 
Dnvmg under the mfluence 

Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) 

Suspicion 

Curfew and loitering law violations.... 
Runaways 



Number of persons arrested 



Total 



1,453,501 



2,820 

4,860 

14,746 

43,209 

67,723 

129,990 

15,731 

3,017 



65,635 
216,461 



282,096 



68,407 

11,921 

67,503 

2,041 

16,993 
26,497 
20,614 

4,817 

12.172 

91,106 

3,405 

16,199 

358,053 

40,307 

85,709 

35,846 

1,758 

285,535 

292 

2,158 

20,072 



Male 



1,217,989 



2,446 

4,i 
13,760 
37.846 
63,055 
93,918 
14,312 

2,625 



58,860 
173,910 



232,770 



58,324 
7,958 

36,194 
1,369 

15,173 
23,978 
19.031 

1.714 

11,502 

76,985 

2,899 

15.261 

318.140 

33,184 

77,1 

30,500 

1,438 

243,816 

233 

1,557 

8,774 



Female 



235,512 



374 

52 

986 

5,363 

4,668 

36,072 

1,419 

392 



6,775 
42,551 



49,326 



10,083 

3,963 

31.309 

672 

1,820 
2,519 
1,583 

3,103 

670 

14,121 

506 

938 

39,913 

7,123 

8,520 

5,346 

320 

41.719 

59 

601 

11,298 



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

Less than one-tenth of 1 percent. 
^Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 

Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson 

Includes arson. 



Percent 
male 



83.8 



86.7 
98.9 
93.3 
87.6 
93.1 
72.3 
91.0 
87.0 



89.7 
80.3 



82.5 



85.3 
66, 
53.6 
67.1 

89.3 
90.5 
92.3 

35.6 

94.5 
84.5 
85.1 
94.2 
88.9 

82.3 
90.1 
85.1 
81.8 
85.4 
79.8 
72.2 
43.7 



Percent 
female 



16.2 



13.3 
1.1 
6.7 

12.4 
6.9 

27.7 
9.0 

13.0 



10.3 
19.7 



17.5 



14.7 
33.2 
46.4 
32.9 

10.7 
9.5 
7.7 

64.4 

5.5 
15.5 
14.9 

5.8 
11.1 

17.7 
99 
149 
18.2 
146 
20.2 
27.8 
56.3 



Percent distribution' 



Total 



100.0 



1.0 
3.0 
4.7 
8.9 
1.1 
.2 



45 
14.9 



19.' 



4.7 

.8 

4.6 



6.3 

.2 

1.1 

24.6 

2.8 
5.9 
2.5 
.1 
19.6 

e) 

.1 
1.4 



Male 



100.0 



.2 

.4 
1.1 
3.1 
5.2 

7.7 
1.2 
.2 



4.8 
143 



19.1 



48 



3.0 



1.2 
2.0 
1.6 

.1 

.9 
6.3 

.2 

1.3 

26.1 

2.7 

6.3 

2.5 

.1 

20.0 

e) 

.1 

.7 



Female 



210 



I 

ble 50. — Suburban County Arrests, Distribution by Race, 1983 

323 agencies; 1983 estimated population 36,361,000] 



Offense charged 



TOTAL.. 



irder and ncnnegligent manslaughter 

rcible rape 

•bbery 

gravated assault 

rglary 

rceny-theft 

)tor vehicle theft 



Violent crime ... 
Property crime'. 



Crime Index total* . 



her assaults 

rgery and counterfeiting 

aud 

ibezzlement 

)len property; buying, receiving, 

possessing 

Jidalism 

eapons; carrying, possessing, etc. 



ostitution and commercialized vice... 
X offenses (except forcible rape and 

prostitution) 

Tjg abuse violations 

unbling 

Tenses against family and children..'., 
riving under the influence 



Jquor laws 

runkenness 

isorderly conduct 

agrancy - 

11 other offenses (except traffic) 

ispidon 

urfew and loitering law violations . 
unaways 



Total arrests 



Total 



1,445,750 



2,819 

4,853 

14,736 

43,085 

67,615 

129,836 

15,715 

3,012 



65,493 
216,178 



281.671 



White 



1,165,837 



68,357 

11,901 

70,927 

2,040 

16,968 

26,477 
20,597 

4,806 

12,161 

90,858 

3,399 

16.143 

349,361 

40.303 

85,055 

35,834 

1,758 

284,688 

292 

2,150 

20,004 



1,887 

3,251 

7,257 

30,610 

52,951 

92,690 

12,422 

2,549 



43,005 
160,612 



Black 



271,269 



203,617 



51,846 
8,478 

51,611 
1,493 

12,342 
23,533 
15,352 

3,123 

10,574 

72,463 

2,327 

9,578 

317,461 

37,314 

75,898 

30,401 

1,462 

216,786 

231 

1,815 

18,132 



900 

1,579 

7,406 

12,206 

14,290 

35,955 

3,214 

450 



22,091 
53,909 



American 
Indian 



Alaskan 

Native 



4,596 



76,000 



15,998 

3.375 

19,121 

532 

4,540 
2,811 
5,113 

1,615 

1,489 

18,114 

1,061 

6,514 

29,805 

2,779 

8,210 

5,224 

279 

66,546 

60 

328 

1,755 



23 

15 

39 

151 

233 

400 

44 

7 



228 
684 



Pacific 
Islander 



912 



265 
26 
81 

3 

55 



27 

51 

153 

3 

30 
928 

128 

786 

151 

15 

777 

1 

5 

62 



4,048 



34 
118 
141 
791 

35 
6 



169 

973 



Percent distribution' 



Total 



1,142 



248 
22 
114 

12 

31 

53 

75 



47 

128 

8 

21 

1,167 

82 
161 

58 

2 

579 



100.0 



100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



100.0 
100.0 



White 



100.0 



100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 

100.0 

100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



80.6 



66.9 
67.0 
49.2 
71.0 
78.3 
71.4 
79.0 
84.6 



Black 



65.7 
74.3 



72.3 



75.8 
71.2 
72.8 
73.2 

72.7 
88.9 
74.5 

65.0 

87.0 
79.8 
68.5 
59.3 
90.9 

92.6 
89.2 
84.8 
83.2 
76.1 
79.1 
84.4 
90.6 



18.8 



31.9 
32.5 
503 
28.3 
21.1 
27.7 
205 
14.9 



33.7 
24.9 



American 
Indian 



Alaskan 
Native 



27.0 



23.4 
28.4 
27.0 
26.1 

26.8 
10.6 
24.8 

33.6 

12.2 
19.9 
31.2 
40,4 



6.9 
9.7 
14.6 
15.9 
23.4 
205 
15.3 



Pacific 
Islander 



.4 
.1 
.2 
.1 
.3 

.2 
.2 
.2 
.1 
.2 



See footnotes at end of table. 



211 



Table 50. — Suburban County Arrests, Distribution by Race, 1983 — Continued 



Offense charged 



TOTAL 

Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 

Violent crime^ 

Property crime' 

Crime Index total* 

Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, 

possessing 

Vandalism 

Weapons; carrying, possessing, etc 

Prostitution and commercialized vice.... 
Sex offenses (except forcible rape and 

prostitution) 

Drug abuse violations 

Gambling 

Offenses against family and children 

Driving under the influence 

Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) 

Suspicion 

Curfew and loitering law violations 

Runaways 



Arrests under 18 



Total 



189,703 



157 

575 

2,498 

5,240 

25,354 

37,115 

4,953 

1,009 



White 



8,470 
68,431 



76,901 



8,873 
863 
789 
107 

2,882 
11,907 
2,358 

136 

1,986 

9,200 

50 

325 

4,584 

11,315 

3,152 

4,638 

304 

27,034 

145 

2,150 

20,004 



159,328 



Black 



29,147 



113 

363 

1,014 

3,681 

21,263 

28,485 

4,163 

897 



5,171 
54,808 



59,979 



6,726 

764 

647 

76 

2,244 

10,874 

1,805 

93 

1,659 

8,008 

24 

294 

4,458 

11,036 

2,987 

3,918 

270 

23,404 

115 

1,815 

18,132 



42 

211 

1,471 

1,535 

3,921 

8,288 

755 

105 



American 
Indian 

or 
Alaskan 
Native 



587 



Asian 



Pacific 
Islander 



641 



3,259 
13,069 



16,328 



2,065 
96 
140 
31 

616 
979 
529 

40 

309 
1,157 
26 
30 
106 

218 

139 

694 

32 

3,500 

29 

328 

1,755 



5 

10 
89 
110 
17 
4 



18 
220 



238 



Percent distribution 



Total 



100.0 



232 
18 
3 



22 
334 



356 



100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
lOO.O 
100.0 



100.0 
100.0 



100.0 



100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 

100.0 

100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



White 



84.0 



72.0 
63.1 
40.6 

70.2 
83.9 
76.7 
84.1 
88.9 



Black 



61.1 
80.1 



78.0 



75.8 
88.5 
82.0 
71.0 

77.9 
91.3 
76.5 

68.4 

83.5 
87.0 
48.0 
90.5 
97.3 

97.5 
94.8 
84.5 
88.8 
86.6 
79.3 
84.4 
90.6 



15.4 



26.8 
36.7 
58.9 
29.3 
15.5 
22.3 
15.2 
10.4 



American 
Indian 



Alaskan 
Native 



38.5 
19.1 



21.2 



23.3 
11.1 
17.7 
29.0 

21.4 

8.2 

22.4 

29.4 

15.6 

12.6 

52.0 

9.2 

2.3 

1.9 
4.4 
15.0 
105 
12.9 
20.0 
15.3 



Asian 



See footnotes at end of table. 



212 



ible 50. — Suburban County Arrests, Distribution by Race, 1983 — Continued 





Arrests 18 and over | 


Percent distribution' 




Offense charged 


Total 


White 


Black 


American 
Indian 

or 
Alaskan 
Native 


Asian 

or 
Pacific 
Islander 


Total 


White 


Black 


American 
Indian 

or 
Alaskan 
Native 


Asian 

or 
Pacific 
Islander 


TOTAL 


1,256,047 


1,006,509 


242,122 


4,009 


3,407 


100.0 


80.1 


19.3 


.3 


J 








2,662 
4,278 
12,238 
37,845 
42,261 
92,721 
10,762 
2,003 


1,774 

2,888 

6,243 

26,929 

31,688 

64,205 

8,259 

1,652 


858 

1,368 

5,935 

10,671 

10,369 

27,667 

2,459 

345 


21 

14 

34 

141 

144 

290 

27 

3 


9 

8 

26 

104 

60 

559 

17 

3 


100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


66.6 
67.5 
51.0 
71.2 
75.0 
69.2 
76.7 
82.5 


32.2 
32.0 
48.5 
28.2 
24.5 
29.8 
22.8 
17.2 


.8 
.3 
.3 
.4 
.3 
.3 
.3 
.1 






































57,023 
147,747 


37,834 
105,804 


18,832 
40,840 


210 

464 


147 
639 


100.0 
100.0 


66.3 
71.6 


33.0 
27.6 


.4 
.3 


.3 




.4 








204,770 


143,638 


59,672 


674 


786 


100.0 


70.1 


29.1 


.3 


.4 








59,484 

11,038 

70,138 

1,933 

14,086 
14,570 
18,239 

4,670 

10,175 

81,658 

3,349 

15,818 

344,777 

28,988 

81,903 

31,196 

1,454 

257,654 

147 


45,120 
7,714 

50,964 
1,417 

10,098 
12,659 
13,547 

3,030 

8,915 

64,455 

2,303 

9,284 

313,003 

26,278 
72,911 
26,483 
1,192 
193,382 
116 


13,933 

3,279 

18,981 

501 

3,924 
1,832 
4,584 

1,575 

1,180 

16,957 

1,035 

6,484 

29,699 

2,561 

8,071 

4,530 

247 

63,046 

31 


235 

25 

80 

3 

43 

53 

47 

25 

39 

137 

3 

30 
913 

84 
768 
135 

14 
701 


196 
20 

113 
12 

21 
26 
61 

40 

41 
109 

8 

20 

1.162 

65 
153 

48 

1 

525 


100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 

100.0 

100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


75.9 
69.9 
72.7 
73.3 

71.7 
86.9 
74.3 

64.9 

87.6 
78.9 
68.8 
58.7 
90.8 

90.7 
89.0 
84.9 
82.0 
75.1 
78.9 


23.4 
29.7 
27.1 
25.9 

27.9 
12.6 
25.1 

33.7 

11.6 
20.8 
30.9 
41.0 
8.6 

8.8 
9.9 
14.5 
17.0 
24.5 
21.1 


.4 

.2 
.1 
.2 

.3 
.4 
.3 

.5 

.4 
.2 
.1 
.2 
.3 

.3 
.9 
.4 
1.0 

.3 


.3 




.2 




.2 




.6 


olen property; buying, receiving, 


.1 




.2 




.3 




.9 




.4 




.1 




.2 




.1 




.3 




.2 




.2 




.2 




.1 




.2 






urfew and loitering law violations 












































1 



'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. 



213 



Table 51. — Suburban County Arrests, Distribution by Ethnic Origin, 1983 

[842 agencies; 1983 estimated population 30,858,000] 



Offense charged 



TOTAL.. 



Murder and nonnegligent manslaughter.. 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 



Violent crime' ... 
Property crime^. 



Crime Index total' 



Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, possessing. 

Vandalism 

Weapons; carrying, possessing, etc 



Prostitution and commerciaUzed vice 

Sex offenses (except forcible rape and prostitution) . 

Drug abuse violations 

Gambling 

Offenses against family and children 

Driving under the influence 



Liquor laws 

Drunkermess 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) 

Suspicion 

Curfew and loitering law violations . 
Runaways 



Total all ages 



Number of arrests 



Total 



1,233,699 



2,270 
3,879 
11,188 
32,502 
55,009 
105,867 
13,747 
2,699 



49,839 
177,322 



227,161 



61,328 
10,654 
56,770 
1,874 
15,083 
23,886 
17,269 

3,583 
10,415 
76,518 

2,909 

14,461 

327,009 

38,257 

78,337 

30,412 

1,623 

219,472 

215 

1,583 

14,880 



Hispanic 



121,460 



342 
388 
1,084 
3,042 
4,675 
5,678 
1,769 
110 



4,856 
12,232 



17.088 



Non- 
Hispanic 



1,112,239 



1,928 
3,491 
10,104 
29.460 
50,334 
100,189 
11.978 
2,589 



44,983 
165,090 



210,073 



3,006 


58,322 


481 


10,173 


1,382 


55,388 


64 


1,810 


1,510 


13,573 


899 


22,987 


2.369 


14,900 


220 


3,363 


750 


9,665 


11,053 


65,465 


161 


2,748 


446 


14,015 


47,055 


279,954 


1,678 


36,579 


13,434 


64,903 


1,527 


28,885 


174 


1,449 


17,276 


202.196 


15 


200 


135 


1,448 


737 


14.143 



Percent distribution 



Total 



100.0 



100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



100.0 
100.0 



100.0 



100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



See footnotes at end of table. 



Hispanic 



9.8 



15.1 
10.0 
9.7 
9.4 
8.5 
5.4 
12.9 
4.1 



9.7 
6.9 



7.5 



4.9 
4.5 
2.4 
3.4 

10.0 
3 

13.7 

6.1 
7.2 

144 
5.5 
3.1 

14.4 

4.4 
17.1 
5.0 
10.7 
7.9 
7.0 
8.5 
5.0 



Non- 
Hispanic 



92.; 



214 



able 51. — Suburban County Arrests, Distribution by Ethnic Origin, 1983 — Continued 



Offense charged 



TOTAL 

lurder and nonnegligent manslaughter 

orcible rape 

.obbery 

.ggravated assault 

urglary 

larceny-theft 

kotor vehicle theft 

liTSon 

Violent crime' 

Property crime^ 

Crime Index total' 

»ther assaults 

brgery and counterfeiting 

raud 

mbezzlement 

tolen property; buying, receiving, possessing 

andahsm 

/capons; carrying, possessing, etc 

rostitution and commercialized vice 

ex offenses (except forcible rape and prostitution) 

>rug abuse violations 

rambling 

tflfenses against family and children 

.driving under the influence 

jquor laws 

)runkenness 

)isorderly conduct 

'agrancy 

Ul other offenses (except traffic) 

Suspicion 

^irfew and loitering law violations 

Runaways 



Under 18 years of age 



Number of arrests 



Total 



157,967 



140 

458 

1,919 

3,832 

20,691 

30,520 

4,229 

937 



6,349 
56,377 



62,726 



7,368 

773 

713 

76 

2,573 

10,374 

2,049 

96 
1,693 
7,755 

46 

281 

4,395 

10,505 

2,932 

4,083 

300 

22,663 

103 

1,583 

14.880 



Hispanic 



10,914 



29 

51 

219 

455 

1,576 

1,353 

400 

30 



754 
3,359 



4,113 



Non- 
Hispanic 



147,053 



438 

25 

34 

5 

248 

366 

271 

6 

119 

1,178 

2 

6 

484 

413 

517 

202 

34 

1,575 

6 

135 

737 



111 

407 

1.700 

3,377 

19,115 

29,167 

3,829 

907 



5.595 
53,018 



58,613 



Percent distribution 



Total 



100.0 



6,930 

748 

679 

71 

2,325 

10,008 

1,778 

90 
1,574 
6,577 

44 

275 

3,911 

10,092 

2,415 

3,881 

266 

21,088 

97 

1,448 

14.143 



100.0 
100.0 
100.0 
100.0 
100.0 
100,0 
100.0 
100.0 



100.0 
100.0 



100.0 



Hispanic 



100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
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 



20.7 

11.1 

11.4 
11.9 

7.6 
4.4 
9.5 
3.2 



11.9 
60 



6.6 



Non- 
Hispanic 



5.9 
3.2 
4.8 
6.6 
9.6 
3.5 
13.2 

6.3 

7.0 
15.2 
4.3 
2.1 
11.0 

3.9 
17.6 
4.9 
11.3 
6.9 
5.8 
8.5 
5.0 



93.1 



79.3 
88.9 
88.6 
88.1 
92.4 
95.6 
90.5 
96.8 



88.1 
94.0 



93.4 



94.1 
96.8 
95.2 
93.4 
90.4 
96.5 
86.8 

93.8 
93.0 
84.8 
95.7 
97.9 
89.0 

96.1 
82.4 
95.1 
88.7 
93.1 
94.2 
91.5 
95.0 



See footnotes at end of table. 



215 



Table 51. — Suburban County Arrests, Distribution by Ethnic Origin, 1983 — Continued 



Offense charged 



18 years of age and over 



Number of arrests 



Total 



Hispanic 



Non- 
Hispanic 



Percent distribution 



Total 



Hispanic 



Non- 
Hispanic 



TOTAL 

Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 

Violent crime' 

Property crime^ 

Crime Index total^ 

Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, possessing 

Vandalism 

Weapons; carrying, possessing, etc 

Prostitution and commercialized vice 

Sex offenses (except forcible rape and prostitution) 

Drug abuse violations 

Gambhng 

Offenses against family and children 

Driving under the influence 

Liquor laws 

Drunlcenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) 

Suspicion 

Curfew and loitering law violations 

Runaways 



J,075,732 



2,130 

3,421 

9,269 

28,670 

34,318 

75,347 

9,518 

1,762 



43,490 
120,945 



164,435 



53,960 
9,881 
56,057 
1,798 
12,510 
13,512 
15,220 

3,487 
8,722 
68,763 
2,863 
14,180 
322,614 

27,752 
75,405 
26,329 
1,323 
196,809 
112 



110,54« 



965,186 



313 
337 
865 
2,587 
3,099 
4,325 
1,369 



1,817 

3,084 

8,404 

26,083 

31,219 

71,022 

8,149 

1,682 



4,102 
8,873 



39,388 
1 12,072 



12,975 



151,460 



2,568 
456 

1,348 
59 

1,262 
533 

2,098 

214 
631 
9,875 
159 
440 
46,571 

1,265 

12,917 

1,325 

140 

15,701 

9 



51,392 
9,425 
54,709 
1,739 
1 1,248 
12,979 
13,122 

3,273 
8,091 
58,888 
2,704 
13,740 
276,043 

26,487 
62,488 
25,004 
1,183 
181,108 
103 



100.0 



100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



100.0 
100.0 



100.0 



100.0 
100.0 
100.0 
100.0 
100.0 
lOO.O 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
lOO.O 
100.0 
100.0 



10.3 



14.7 
9.9 
9.3 
9.0 
9.0 
5.7 

14.4 
4.5 



9.4 
7.3 



7.9 



4.8 
4.6 
2.4 
3.3 

10.1 
3.9 

13.8 

6.1 

7.2 
14.4 
5.6 
3.1 
14.4 

4.6 
17.1 

5.0 
10.6 

8.0 

8.0 



'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 
^Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 
^Includes arson. 



216 



Table 52. — Rural County Arrest Trends, 1982-1983 

1,817 agencies; 1983 estimated population 19,458,000] 



Offense charged 



Number of persons arrested 



Total all ages 



Percent 
change 



Under 18 years of age 



Percent 
change 



18 years of age and over 



Percent 
change 



TOTAL 

Murder and nonnegligent manslaughter 

'orcible rape 

lobbery 

k.ggravated assault 

Jurglary 

greeny-theft 

4otor vehicle theft 

kxson , 

Violent crime' 

Property crime^ 

Crime Index total^ 

)ther assaults 

■orgery and counterfeiting 

Taud 

Embezzlement 

tolen property; buying, 

receiving, possessing 

'andalism 

Weapons; carrying, possessing, etc 

! 'rostitution and commercialized vice ... 
I ex offenses (except forcible 

rape and prostitution) 

Drug abuse violations 

j rambling 

Dffenses against family and children.... 
)riving under the influence 

iuquor laws 

drunkenness 

)isorderly conduct 

'agrancy 

Ul other offenses (except traffic) 

■uspicion (not included in totals) 

hirfew and loitering law violations 

lunaways 



703,450 



108,288 



269 



683,583 



1,454 


1,399 


1,835 


1,803 


3,073 


3,068 


20,994 


19,923 


31,466 


29,444 


41,629 


40,412 


6,557 


6,355 


1,280 


1,264 


27,356 


26,193 


80,932 


77,475 



103,668 



30,390 


30,998 


6,219 


6,097 


44,091 


38,225 


813 


722 


6,047 


6,085 


11,610 


11,140 


7,950 


7,211 



207 



3,398 


4,082 


37,841 


34,475 


1,054 


958 


9,611 


9,138 


191.823 


191,503 


24,291 


23,994 


66,338 


60,325 


21,989 


20,598 


523 


493 


124,043 


127,510 


850 


828 


708 


670 


6,154 


5,484 



65,615 



58,906 



-10.2 



637,835 



-3.8 
-1.7 
-.2 
-5.1 
-6.4 
-2.9 
-3.1 
-1.3 



.^.3 
-4.3 



58 


77 


164 


141 


359 


314 


1,202 


1,186 


10,024 


9,054 


9,090 


8,184 


2,053 


1,901 


300 


307 


1,783 


1,718 


21,467 


19,446 



+ 32.8 

-14.0 

-12.5 

-1.3 

-9.7 

-10.0 

-7.4 

+ 2.3 



1,396 

1,671 

2,714 

19,792 

21,442 

32,539 

4,504 

980 



-3.6 
-9.4 



25,573 
59,465 



-*.i 



23,250 



21,164 



-9.0 



85,038 



+ 2.0 

-2.0 

-13.3 

-11.2 

+ .6 
^.0 
-9.3 

-23.0 

+ 20.1 
-8.9 
-9.1 
^.9 

-.2 

-1.2 
-9.1 
-6.3 
-5.7 
+ 2.8 
-2.6 
-5.4 
-10.9 



2,045 

539 

328 

14 

745 

3,840 

486 

19 

440 

3,149 

11 

120 
3,475 

6,408 

1,970 

1,866 

86 

9,962 

113 

708 

6,154 



1,990 

467 

269 

10 

666 

3,843 

424 

11 

501 

2,539 

22 

100 
2,810 

5,662 

1,496 

1,673 

86 

9.019 

111 

670 

5,484 



^2.1 

+ 13.9 
-19.4 
+ 100.0 
-16.7 
-19.1 

-11.6 
-24.1 
-10.3 



-9.5 

-1 

-5.4 

-10.9 



250 

2,958 

34,692 

1,043 

9,491 

188,348 

17,883 
64,368 
20,123 

437 
114,081 

737 



624,677 



1,322 

1,662 

2,754 

18,737 

20,390 

32,228 

4.454 

957 



24,475 
58,029 



82,504 



-2.7 


28,345 


29,008 


-13.4 


5,680 


5,630 


-18.0 


43,763 


37,956 


-28.6 


799 


712 


-10.6 


5,302 


5,419 


+ .1 


7,770 


7,297 


-12.8 


7,464 


6,787 



196 

3,581 

31,936 

936 

9,038 

188,693 

18,332 
58,829 
18,925 

407 
118,491 

717 



-2.1 



-5.3 
-.5 
+ 1.5 
-5.3 
-i.9 
-1.0 
-1.1 
-2.3 



^.3 

-2.4 



-3.0 



+ 2.3 

-.9 

-13.3 

-10.9 

+ 2.2 
-6.1 
-9.1 

-21.6 

+ 21.1 
-7.9 

-10.3 
^.8 
+ .2 

+ 2.5 
-8.6 
-6.0 
-6.9 
+ 3.9 
-2.7 



'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 
^Property crimes are offenses of burglary. larceny-theft, motor vehicle theft, and arson, 
^Includes arson. 



217 



Table 53. — Rural County Arrest Trends, Sex, 1982-1983 

[1,817 agencies; 1983 estimated population 19.458,000] 



OfTense charged 



Percent 
change 



Percent 
change 



Percent 
change 



Under 18 



TOTAL. 



Murder and nonnegligent 

manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 



Violent crime' 
Property crime^,. 



Crime Index tolai^ 



Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, 

possessing 

Vandalism 

Weapons; carrying, possessing, etc. 

Prostitution and commercialized 



Sex offenses (except forcible rape and 

prostitution) 

Drug abuse violations 

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 ioitenng law violations . 
Runaways 



611,012 



1,235 

1.827 

2,832 

18,732 

29,680 

34,689 

5,963 

1,132 



24,626 
71,464 



96,090 



26,430 

4,375 

25,187 

576 

5,454 
10,660 
7,542 



91 

3,256 

33,024 

928 

9,022 

176.624 

20.523 

61.528 

19,050 

444 

106,905 

737 

512 

2,791 



592,620 



-3.0 



53,554 



48,075 



-10.2 



92,438 



90,963 



-1.6 



12,061 



1,187 

1,790 

2,829 

17.659 

27.716 

33.369 

5.809 

1,148 



-3.9 
-2.0 
-.1 
-5.7 
-6.6 
-3.8 
-2.6 
+ 1.4 



53 

164 

323 

1,006 

9,410 

7,774 

1,821 

260 



67 

140 

276 

1,024 

8,443 

6,922 

1,677 

285 



+ 26.4 
-14.6 
-14.6 
+ 1 

-10.3 

-11.0 

-7.9 

+ 9.6 



219 
8 

241 
2,262 
1,786 
6,940 

594 

148 



212 
13 

239 
2,264 
1,728 
7,043 

546 

116 



-3.2 

+ 62.5 

-.8 

+ .1 

-3.2 

+ 1.5 

-8.1 

-21.6 



36 

196 

614 

1,316 

232 

40 



23,465 
68,042 



^.7 
-A. 



1,546 
19,265 



1,507 
17,327 



-2.5 
-10.1 



2,730 
9,468 



2,728 
9,433 



237 
2,202 



91,507 



20,811 



18,834 



-9.5 



12,198 



12,161 



2,439 



26,884 

4,252 

21,859 

535 

5,465 
10,131 
6,827 



3,919 

29,834 

888 

8.584 

175.352 

20,084 

55,658 

17,806 

409 

109,635 

697 

487 

2,443 



+ 1.7 

-2.8 

-13.2 

-7.1 

+ .2 
-5.0 
-9.5 



-33.0 

+ 20.4 
-9.7 
^.3 
-4.9 

-.7 

-2.1 
-9.5 
-6.5 
-7.9 
+ 2.6 
-5.4 
-4.9 
-12.5 



1,668 

368 

185 

9 

685 

3,561 

469 



14 

422 

2.655 

10 

87 

3,146 

4,800 
1,746 
1.473 

67 
8.075 

92 

512 

2.791 



1.605 

343 

172 

7 

598 

3.560 

410 



481 

2,120 

21 

73 

2,524 

4,292 
1.319 
1,378 

74 
7,332 

84 

487 

2,443 



-3,8 

-6.8 

-7.0 

-22.2 

-12.7 

(') 

-12.6 



-85.7 

+ 14.0 
-20.2 
+ 110.0 
-161 
-19.8 

-10.6 

-24.5 
-6.4 

+ 10.4 
-9.2 
-8.7 
-4.9 

-12.5 



3,960 

1,844 

18,904 

237 

593 
950 
408 



178 

142 

4,817 

126 

589 

15,199 

3,768 

4,810 

2,939 

79 

17,138 

113 

196 

3,363 



4,114 

1,845 

16,366 

187 

620 

1,009 

384 



146 

163 

4,641 

70 

554 

16,151 

3,910 

4,667 

2,792 

84 

17,875 

131 

183 

3,041 



Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 
^Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson, 
'includes arson. 
*Less than one-tenth of 1 percent. 



+ 3.9 

+ .1 

-13.4 

-21.1 

+ 46 
+ 6.2 
-5.9 



-18.0 

+ 14 
-3.7 

-t4.4 
-5.9 
+ 63 

+ 3.8 
-3.0 
-5.0 
+ 6.3 
+ 43 
+ 15.9 
-6.6 
-9.6 



377 

171 

143 

5 

60 

279 

17 



18 

494 

1 

33 
329 

1,608 

224 

393 

19 

1.887 

21 

196 

3,363 



10,831 



10 

1 

38 

162 

611 

1,262 

224 

22 



211 
2,119 



2,330 



385 

124 

97 

3 

68 

283 

14 



20 

419 

1 

27 
286 

1,370 

177 

295 

12 

1,687 

27 

183 

3,041 



218 



Table 54. — Rural County Arrests, Distribution by Age, 
[2,329 agencies; 1983 estimated population 24,454,000] 


1983 






















Offense charged 


Total all 
ages 


Ages 

under 

15 


Ages 

under 

18 


Ages 
18 and 
over 


Age 


Under 
10 


10-12 


13-14 


15 


16 


17 


18 


19 


20 


TOTAL 


856,754 
100.0 


17,200 
2.0 


74,188 

8.7 


782,566 
91.3 


1,264 
.1 


3,987 
.5 


11,949 
1.4 


11,982 
1.4 


18,037 
2.1 


26,969 
3.1 


40,599 

4.7 


45,124 
5.3 


44,671 




5.2 


Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 




1,683 

2,370 

3,607 

23,579 

36,194 

49,682 

7,952 

1,576 


10 

31 

38 

279 

3,364 

2,989 

510 

169 


98 

191 

358 

1,397 

11,063 

10,168 

2,466 

365 


1,585 

2,179 

3,249 

22,182 

25,131 

39,514 

5,486 

1,211 




3 

5 

3 

63 

912 

848 

79 

44 


7 

26 

33 

187 

2,213 

1,924 

419 

84 


17 

23 

60 

203 

1,812 

1,597 

600 

49 


24 

67 

95 

365 

2,438 

2,405 

632 

55 


47 

70 

165 

550 

3,449 

3,177 

724 

92 


50 

114 

296 

885 

3,943 

4,141 

717 

76 


68 

125 

310 

938 

3,354 

3,698 

577 

84 


59 


2 

29 

239 

217 

12 

41 


132 
300 




1,054 




2,562 




2,987 




474 




77 






31,239 
100.0 

95,404 
100.0 


358 

1.1 

7,032 

7.4 


2,044 

6.5 

24,062 

25.2 


29,195 
93.5 

71,342 
74.8 


31 

.1 

509 

,5 


74 

.2 

1,883 

2.0 


253 

.8 

4,640 

4.9 


303 

1.0 

4,058 

4.3 


551 

1.8 

5,530 

5.8 


832 

2.7 

7,442 

7.8 


1,345 
4.3 

8,877 
9.3 


1,441 
4.6 

7.713 
8.1 


1,545 


Percent distribution' 


4.9 




6,100 


Percent distribution' 


6.4 


126,643 
100.0 


7,390 
5.8 


26,106 
20.6 


100,537 
79.4 


540 
.4 


1,957 
1.5 


4,893 
3.9 


4,361 

3.4 


6,081 
4.8 


8,274 
6.5 


10,222 
8.1 


9,154 

T.2 


7,645 


Percent distribution' 


6.0 






36,010 

7,397 

45,498 

889 

7,446 
13,793 
8,441 

268 

4,895 

43,283 

1,101 

10,815 

249,833 

38,965 

73,558 

26,004 

560 

152,615 

965 

802 

6,973 


559 
65 

22 

1 

150 

2,061 

124 

2 

206 

379 

2 

20 

64 

513 

105 

389 

16 

2,497 

23 

174 

2,438 

L 


2,292 

589 

338 

10 

858 

4,816 

522 

12 

601 

3,054 

24 

117 

3,737 

8,554 

1,809 

2,053 

94 

10,697 

130 

802 

6,973 


33,718 

6,808 

45,160 

879 

6,588 
8,977 
7,919 

256 

4,294 

40,229 

1,077 

10,698 

246,096 

30,411 
71.749 
23,951 

466 
141,918 

835 


47 
3 
5 

9 

300 

4 


128 
17 
2 

33 

691 

41 


384 
45 
15 


319 

88 
25 

1 

159 

734 
76 

3 

116 
436 

2 
22 
147 

1,032 

196 

306 

14 

1,747 

29 

200 

1,969 


560 
140 
64 

2 

215 
936 
132 

4 

117 

790 

9 

31 

794 

2,461 

459 

511 

33 

2,775 

45 

216 

1,662 


854 

296 

227 

6 

334 

1,085 

190 

3 

162 

1,449 

11 

44 
2,732 

4,548 

1,049 

847 

31 

3,678 

33 

212 

904 


1,444 

398 

784 

10 

513 

1.091 

313 

9 

176 

2.505 

12 

193 
6,597 

5,562 
2,386 
1,407 

55 
6,856 

66 


1,591 

476 

1,181 

37 

511 
932 
341 

16 

181 

2,976 

16 

322 
9,962 

4,817 
3,190 
1,571 

39 
7,743 

68 


1,670 


Forgery and counterfeiting 


478 




1,575 




29 




108 

1,070 

79 

2 

149 

332 

2 

9 

38 

464 

89 

280 

13 

1,769 

16 

145 

2,047 


507 




780 




384 


Prostitution and commercialized 


20 


Sex offenses (except forcible rape 


11 

7 

5 
20 

7 

8 

27 

2 

210 


46 
40 


204 




3,070 




13 


Offenses against family and children 


6 
6 

42 

8 

82 

1 

518 

7 

26 
335 


372 




11,152 




3,591 




3,521 




1,494 




40 


All other offenses (except traffic) 


8,071 




55 




3 
56 





















See footnotes at end of table. 



219 



Table 54. — Rural County Arrests, Distribution by Age, 19S3 — Continued 



Oflfensc charged 



Age 



65 and 
over 



TOTAL 

Percent distribution'.. 



Murder and nonnegligent 

manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 



Violent crime 

Percent distribution' . 

Property crime' 

Percent distribution' . 



Crime Index total* . 
Percent distribution' 



Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, 

possessing 

Vandalism 

Weapons; carrying, possessing, etc.. 

Prostitution and commercialized 



Sex offenses (except forcible rape 

and prostitution) 

Drug abuse violations 

Gambling 

Offenses against family and children . 
Drivmg under the influence 



Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) 

Suspicion 

Curfew and loitering law violations.. 
Runaways 



43,855 
5.1 



78 

99 

266 

1,020 

2,004 

2,648 

400 

71 



1,463 
4.7 

5,123 
5.4 



6,586 
5.2 



1,677 

459 

1,886 

33 

463 
626 
410 



14 

196 

3,071 

25 

409 

12,631 

1,829 
3,616 
1,566 

19 
8,281 

58 



43,144 
5.0 



40,399 

4.7 



37,584 
4.4 



151,465 

17.7 



106,293 

12.4 



75,049 



52,695 
6.2 



36,177 
4J 



26,206 
3.1 



18,152 
2.1 



11,056 
1.3 



69 

145 

240 

1,100 

1,718 

2,397 

366 

56 



74 

119 

218 

1,132 

1,471 

2,065 

346 

54 



75 

127 

208 

1.034 

1,327 

1,817 

257 

42 



305 

425 

655 

4,516 

4,254 

6,843 

1,000 

232 



253 

342 

357 

3,285 

2,080 

4.474 

579 

150 



189 

223 

202 

2,495 

1,120 

2,882 

328 

136 



113 

139 

92 

1,703 

571 

2,038 

198 

91 



71 

78 

55 

1,084 

318 

1,292 

106 

50 



58 

47 

30 

745 

226 

908 

76 

45 



55 
33 
12 

512 
93 

592 
40 
22 



1.554 
5.0 

4,537 
4.8 



1.543 
4.9 

3,936 
4.1 



1,444 
4.6 

3,443 
3.6 



5,899 

18.9 

12,329 

12.9 



4.237 

13.6 

7,283 

7.6 



3,109 

10.0 

4,466 

4.7 



2,047 
6.6 

2,898 
3.0 



1,288 
4.1 

1,766 
1.9 



880 

2.8 

1,255 

1.3 



612 
2.0 
747 



6,091 
4.8 



5,479 
4.3 



4,887 
3.9 



18,228 
14.4 



11,520 
9.1 



7,575 
6.0 



4,945 
3.9 



3,054 
2.4 



2,135 
1.7 



1,359 
1.1 



1,857 

455 

2,102 

32 

452 
545 
414 



24 

158 

3,093 

23 

439 

12,607 

1,539 
3,615 
1,434 

38 
8.175 

51 



1,752 

381 

2,195 

33 

337 
504 
380 



17 

148 

2.898 

27 

486 

11,962 

1,249 
3,468 
1.275 

23 
7,728 

57 



1,652 

359 

2.195 

39 

342 
431 
342 



18 

137 

2,724 

35 

534 

11,093 

961 

3,257 
1.198 

27 
7,313 

40 



6.998 

1,468 

9,615 

160 

1.314 
1,555 
1,571 



66 

681 

9.934 

155 

2,579 

47,661 

3.330 

12,630 

4,530 

66 

28,742 

182 



5,001 
854 

7,972 
131 

777 

981 

1,153 



25 

614 

5,153 

159 

2.127 

34,911 

2.092 

9,433 

3,037 

47 

20,215 

91 



3,714 
609 

6,113 
149 

522 
632 
840 



16 

589 

2,408 

128 

1,459 

25,802 

1.459 
7,006 
2,100 

20 
13,837 

71 



2,416 
566 

3,963 
100 

347 
340 
612 



12 

381 

1,151 

142 

871 

19,314 

1,146 
5,656 
1,477 

36 
9,390 

30 



1,550 

225 

2,415 

50 

198 

226 
385 



231 

550 

96 

435 

14,196 

898 

4,495 

980 

23 

6,139 

24 



1,071 

162 

1,461 

42 

124 
142 
301 



194 

299 

78 

245 

10,927 

729 

3,675 

723 

4 

3.867 

19 



597 
65 

845 
16 

107 

93 

206 



2 

157 

206 

75 

127 

7,876 

537 

2,732 

503 

16 

2,626 

7 



29 
18 
6 

314 
43 

348 
10 
II 



367 

1.2 

412 

.4 



779 
.6 



380 
39 

491 
10 

49 
37 
126 



116 
93 
32 
68 
4,980 

349 

1,649 

318 

7 

1,528 

5 



10,097 
1.2 



39 
13 
4 

365 
47 

384 
12 
14 



421 

1.3 

457 

.5 



878 
.7 



348 

14 

367 



25 
62 
141 



131 
98 
61 

32 
4,425 

323 

1,420 

338 

6 

1,407 

II 



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

^Violent crimes are offenses of murder, forcible rape, robbiery, and aggravated assault. 
■'Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 
^Includes arson. 



220 



Table 55. — Rural County Arrests of Persons under 15, 18, 21, and 25 Years of Age, 1983 

[2,329 agencies; 1983 estimaled population 24,454,000] 



Offense charged 



Total 
all ages 



Number of persons arrested 



Percent of total all ages 



Under 
15 



Under 
18 



Under 
21 



Under 
25 



TOTAL 

Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 

Violent crime' 

Property crime^ 

Crime Index total' 

Other assaults 

Forgery and cotmterfeiting 

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 

Cuiiew and loitering law violations 

Runaways 



856,754 



1,683 

2,370 

3,607 

23,579 

36,194 

49,682 

7,952 

1,575 



31,239 
95,404 



126,643 



36,010 
7,397 

45,498 

889 

7,446 

13,793 
8,441 

268 

4,895 

43,283 

1,101 

10,815 

249,833 

38,965 

73,558 

25,004 

560 

152,615 

965 

802 

6,973 



17,200 



74,188 



204,582 



369,564 



2.0 



8.7 



10 

31 

38 

279 

3,364 

2,989 

510 

169 



98 

191 

358 

1,397 

11,063 

10,168 

2,466 

365 



275 

562 

1,264 

4,274 

20,922 

20,994 

4,234 

602 



571 

1,052 

2,196 

8,550 

27,442 

29.921 

5,603 

825 



.6 
1.3 
1.1 
1.2 
9.3 
6.0 
6.4 
10.7 



5.8 

8.1 

9.9 

5.9 

306 

20.5 

31,0 

23.2 



358 
7,032 



2,044 
24,062 



5,375 
45,752 



12,379 
63,791 



1.1 

7.4 



5.5 
25.2 



7.390 



26,106 



53,127 



76,170 



5.8 



20.6 



559 
65 
22 
1 
150 
2,061 
124 

2 

206 

379 

2 

20 
64 

513 

105 

389 

16 

2,497 

23 

174 

2,438 



2,292 

589 

338 

10 

858 

4.815 
522 

12 

601 

3,054 

24 

117 
3,737 

8,554 

1,809 

2,053 

94 

10,697 

130 

802 

6.973 



6,997 
1,941 
3,878 
86 
2,389 
7,619 
1,560 

57 

1,162 

11,605 

65 

1,004 
31,448 

22,524 

10,906 

5,525 

228 

33,367 

319 

802 

6,973 



13,935 
3,595 

12,256 

223 

3,983 

9,725 

3,106 

130 

1,801 

23,391 

175 

2,872 
79,741 

28,102 

24,862 

11.998 

335 

64.854 

525 

802 

6.973 



1.5 
.9 

(') 
.1 

2.0 
14.9 

1.5 



4.2 
.9 
.2 
.2 
(') 

1.3 

.1 

1.5 

2.9 

1.5 

2.4 

21.7 

35.0 



6.4 

8.0 
.7 

1.1 
11.5 
34.9 

6.2 

4.5 

12.3 
7.1 
2.2 
1. 
1.5 

22.0 
2.5 
7.9 
15.8 
7.0 
13.5 
100.0 
100.0 



23.9 



15.3 
23.7 
35.0 
18.1 
57.8 
42.3 
53.2 
38.2 



20.4 
49.0 



42.0 



19.4 
26.2 
8.5 
9.7 
32.1 
55.2 
18.5 

21.3 

23.7 

26.8 

5.9 

9.3 

12.6 

57.8 
14.8 
25.1 
40.7 
21.9 
33.1 
100.0 
100.0 



43.1 



33.9 
44.4 
50.9 
36.3 
75.8 
60.2 
70.5 
52.3 



39.6 
66.9 



60.1 



38.7 
48.5 
26.9 
25.1 
53.5 
70.5 
35.8 

48.5 

36.8 
54.0 
15.9 
25.6 
31.9 

72.1 
33.8 
45.1 
59.8 
42.5 
54.4 
100.0 
100.0 



'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 
^Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 
'Includes arson. 
*Less than one-tenth of 1 percent. 



221 



Table 56. — Rural County Arrests, Distribution by Sex, 1983 

[2,329 agencies; 1983 -timated population 24,45'l,0O0] 



Offense charged 



Number of persons arrested 



Male 



Percent 
male 



Percent 
female 



Percent distribution' 



Female 



TOTAL.. 



Murder and nonnegligent manslaughter-. 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 



Violent cntne* 
Property cnme^ 



Crime Index total 



Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, possessing . 

Vandalism 

Weapons; carrying, possessing, etc. 



Prostitution and commercialized vice 

Sex offenses (except forcible rape and prostitution).. 

Drug abuse violations 

Gambling 

Offenses against family and children 

Driving under the influence 



Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) 

Suspicion 

Curfew and loitering law violations. 
Runaways 



856,754 



1,683 

2,370 

3,607 

23,579 

36,194 

49,682 

7,952 

1,576 



31,239 
95,404 



126,643 



36,010 
7.397 

45,498 

889 

7,446 

13,793 
8,441 

268 

4,895 

43.283 

1,101 

10,815 

249,833 

38,965 

73,558 

26,004 

560 

152.615 

965 

802 

6.973 



743,310 



113,444 



86.8 



13.2 



100.0 



1,440 

2,329 

3,326 

20.922 

34,108 

41,222 

7,268 

1,424 



28,017 
84,022 



112,039 



31.358 
5,180 

26,275 

665 

6,715 

12,579 
7,972 

85 

4,699 

37.497 

1.007 

10,149 

227,861 

32.493 

57,861 

22,520 

466 

131,366 

822 

580 

3,121 



243 
41 

281 
2,657 
2,086 
8,460 

684 

152 



85.6 
98.3 
92.2 
88.7 
94.2 
83.0 
91.4 
90.4 



14.4 
1.7 
7.8 

11.3 
5.8 

17.0 
8.6 
9.6 



3.222 
11.382 



89.7 
88 1 



10.3 
11.9 



14.604 



11.5 



4.652 

2,217 

19,223 

224 

731 

1,214 

469 

183 

196 

5,786 

94 

666 

21,972 

6,472 

5,697 

3.484 

94 

21.249 

143 

222 

3.852 



'Because of rounding, the percentages may not add to total. 
^Less than one-tenth of I percent. 

"Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 
Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 
^Includes arson. 



87.1 
70.0 
57.7 
74.8 
90.2 
91.2 
94.4 

31.7 
96.0 
86.6 
91.5 
93.8 
91.2 

83.4 
92.3 
86.6 
33.2 
86.1 
85.2 
72.3 
44.8 



12.9 
30.0 
42.3 
25.2 
98 
8.8 
5.6 

68.3 
4.0 

13.4 
8.5 
6.2 



16.6 
7.7 
13.4 
16.8 
13.9 
14.8 
27.7 
55.2 



.4 

2.; 

4.2 

5.8 

.9 

.2 



3.6 
11.1 



14.8 



4.2 
.9 

5.3 
.1 
.9 

1.6 

1.0 

(') 

.6 

5.1 

.1 

1.3 

29.2 

4.5 

8.6 

3.0 

.1 

17.8 

.1 

.1 



100.0 



.2 

.3 

.4 

2.8 

4.6 

5.5 

1.0 

.2 



3 
11.3 



15.1 



4.2 
.7 

3.5 
.1 
.9 

1.7 

1.1 

e) 

.6 

5.0 

.1 

1.4 

30.7 

4.4 

9.1 

3.0 

.1 

17.7 

.1 

.1 

.4 



222 



Table 57. — Rural County Arrests, Distribution by Race, 1983 

[2,308 agencies; 1983 estimated population 24.298,000] 



Offense charged 



TotaJ arrests 



American 
Indian 



Alaskan 
Native 



Pacific 
Islander 



Percent distribution' 



American 
Indian 



Alaskan 
Native 



Pacific 
Islander 



TOTAL 

Murder and nonnegligent 

manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 

Violent crime^ 

Propeity 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. 
Drivmg under the influence 

Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) 

Suspicion 

Curfew and loitering law violations .. 
Runaways 



848,211 



1,665 

2,353 

3,580 

23,458 

35,869 

49,433 

7,861 

1,567 



31,056 
94,730 



125,786 



35,834 

7,347 

45,913 

863 

7,387 
13,733 
8,407 

268 

4,868 

42,998 

1,099 

10,724 

244,141 

38,884 

73,140 

25,736 

554 

151,917 

912 

801 

6,899 



712,367 



113,898 



16,54« 



5,400 



100.0 



84.0 



1,147 

1,656 

2,378 

17,220 

29,738 

40,598 

6,866 

1,389 



475 

642 

1,112 

5,675 

5,260 

7,589 

755 

154 



31 

41 

69 

482 

630 

602 

173 

15 



12 

14 

21 

81 

241 

644 

67 

9 



100.0 
100.0 
100.0 
100.0 
lOO.O 
100.0 
100.0 
100.0 



68.9 
70.4 
66.4 
73.4 
82.9 
82.1 
87.3 
88.6 



22,401 
78,591 



7,904 
13,758 



623 
1,420 



128 
961 



lOO.O 
100.0 



72.1 
83.0 



100,992 



21,662 



2,043 



1,089 



lOO.O 



803 



26,445 

5,759 

34,899 

695 

6,130 
12,259 

7,138 

190 

4,412 

38,228 

729 

6,764 

213,610 

35,945 

65,428 

20,891 

468 

123,779 

622 

591 

6,393 



8,217 

1,482 

10,476 

153 

1,109 
1,111 
1,102 

75 

385 
3,896 

241 

3,765 

24,691 

1,990 

5,678 

3,494 

75 

24,032 

56 

28 

180 



701 

86 

470 

5 

129 
259 
109 

3 

52 

463 

7 

179 

4,780 

767 

1,999 

1,256 

11 

3,051 

12 

II 

153 



471 
20 
68 
10 

19 
104 
58 



19 

411 

122 

16 

1,060 

182 
35 
95 



1,055 
222 
171 
173 



100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 

100.0 

100.0 
100.0 
lOO.O 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



73.8 
78.4 
76.0 
805 

83.0 
89.3 
84.9 

709 

90.6 
88.9 
66.3 
63.1 
87.5 

92.4 

89.5 
81.2 
84.5 
81.5 
68.2 
73.8 
92.7 



13.4 



28.5 
27.3 
31.1 
24.2 
14.7 
15.4 
9.6 
9.8 



25.5 
14.5 



17.2 



22.9 
20.2 
22.8 
17.7 

15.0 
8.1 
13.1 

28.0 

7.9 
9.1 
21.9 
35.1 
10. 1 

5.1 

7.8 
13.6 
13.5 
15.8 
6.1 
3.5 
2.6 



2.0 



1.9 
1.7 
1.9 
2.1 
1.8 
1.2 
2.2 
1.0 



2.0 
1.5 



1.6 



.7 
.6 
.6 
.3 
.7 
1.3 
.9 
.6 



.4 
1.0 



2.0 


1.3 


1.2 


.3 


1.0 


.1 


.6 


1.2 


1.7 


.3 


1.9 


.8 


1.3 


.7 


1 1 




1.1 


.4 


1.1 


1.0 


.6 


11.1 


1.7 


.1 


2.0 


.4 


2.0 


.5 


2.7 


(') 


4.9 


.4 


70 




2.0 


.7 


1.3 


24.3 


1.4 


21.3 


2.2 


2.5 



See footnotes at end of table. 



223 



Table 57. — Rural County Arrests, Distribution by Race, 1983 — Continued 



OflFense charged 



Arrests under 18 



American 
Indian 



Alaskan 
Native 



Pacific 
Islander 



Percent distribution 



American 
Indian 



Alaskan 
Native 



Pacific 
Islander 



TOTAL 

Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 

Aggravated assatilt 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 

Violent crime^ 

Property crime' 

Crime Index total* 

Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, 

possessing 

Vandalism 

Weapons; carrying, possessing, etc 

Prostitution and commercialized vice.... 
Sex offenses (except forcible 

rape and prostitution) 

Drug abuse violations 

Gambling 

Offenses against family and children 

Driving under the influence 

Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) 

Suspicion 

Curfew and loitering law violations 

Runaways 



73,652 



98 

186 

355 

1,393 

11,002 

10,104 

2,440 

364 



2,032 
23,910 



25,942 



2,289 

585 

338 

10 

854 

4,788 

520 

12 



66,192 



75 

123 

256 

1,094 

9,782 

8,868 

2,211 

330 



1.548 
21.191 



22,739 



1,680 

499 

301 

9 

760 

4,516 

465 



593 


529 


3,003 


2,718 


24 


7 


114 


104 


3,684 


3.529 


8,521 


8.234 


1,802 


1,687 


2,032 


1,741 


94 


81 


10.636 


9.504 


111 


97 


801 


591 


6,899 


6,393 



4,554 



1,390 



1,516 



100.0 



89.9 



6J 



20 

57 

85 

251 

862 

846 

135 

24 



413 
1.867 



2,280 



356 

73 

26 

1 

70 
147 
42 



51 
148 

2 

8 

87 

83 

40 
176 

13 

733 

7 

28 
180 



3 

3 

11 

41 

194 

138 

55 

2 



58 
389 



447 



9 
26 

2 

2 

57 

150 
74 
99 



197 

4 

11 

153 



164 

252 

39 



13 

463 



476 



197 
3 
4 



4 

111 

13 



202 

3 
171 
173 



100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



100.0 
100.0 



100.0 



100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 

100.0 

100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



76.5 

66.1 

72.1 

78.5 

88.9 

87, 

90.6 

90.7 



76.2 
88.6 



87.7 



73.4 
85.3 
89.1 
90.0 

89,0 
943 
89.4 

66.7 

89.2 
90.5 
29.2 
91.2 
95.8 

96.6 
93.6 
85.7 
86.2 
89,4 
87.4 
73.8 
92.7 



20.4 
30.6 
23.9 
18.0 
7.8 
8.4 
5.5 
6.6 



20.3 

7 



15.6 
12.5 
7.7 
10 

8,2 
3.1 
8.1 

25.0 

8.6 
4.9 
8.3 
7.0 
2,4 

1.0 
2.2 
8.7 
13.8 
6.9 
6.3 
3.5 
2.6 



3.1 
1.6 

3.1 
2.9 
1 

1.4 

2.3 

.5 



2.9 
1.6 



17 



1 

1.3 

1.5 

8.3 

1.5 
.9 
8.3 
1.8 
1.5 

1.8 
4.1 
4.9 



1,9 
3.6 
1.4 

2.2 



1.6 
.8 
.5 
1.5 
2.5 
1.6 
2.2 



.6 
1.9 



8.6 

.5 
1.2 



i.l 
1.3 
1.0 



.7 

37 

54.2 



.3 



1.9 

2.7 

21.3 

2.5 



See footnotes at end of table. 



224 



Table 57. — Rural County Arrests, Distribution by Race, 1983 — Continued 





Arrests 18 and over | 


Percent distribution' 


Offense charged 


Total 


White 


Black 


Ajnerican 

Indian 

or 

Alaskan 
Native 


Asian 

or 
Pacific 
Islander 


Total 


White 


Black 


American 

Indian 

or 

Alaskan 
Native 


Asian 

or 
Pacific 
Islander 


TOTAL 


774,559 


646,175 


109,344 


15,156 


3,884 


100.0 


83.4 


14.1 


2.0 


.5 








1,567 

2,167 

3,225 

22,065 

24,867 

39,329 

5,421 

1,203 


1,072 
1,533 
2,122 
16,126 
19,956 
31,730 
4,655 
1,059 


455 

585 

1,027 

5,424 

4,398 

6,743 

620 

130 


28 

38 

58 

441 

436 

464 

118 

13 


12 
11 
18 
74 
77 
392 
28 
1 


100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


68.4 
70.7 
65.8 
73.1 
80.3 
80.7 
85.9 
88.0 


29.0 
27.0 
31.8 
24.6 
17.7 
17.1 
11.4 
10.8 


1.8 
1.8 
1.8 
2.0 
1.8 
1.2 
2.2 
1.1 


.8 




.5 




.6 




.3 




.3 




1.0 




.5 




.1 








29,024 
70,820 


20,853 
57,400 


7,491 
11,891 


565 
1,031 


115 

498 


100.0 
100.0 


71.8 
81.1 


25.8 
16.8 


1.9 
1.5 


.4 




.7 








99,844 


78,253 


19,382 


1.596 


613 


100.0 


78.4 


19.4 


1.6 


.6 








33,545 

6,762 

45,575 

853 

6,533 
8,945 
7,887 

256 

4,275 

39,995 

1,075 

10,610 

240,457 

30,363 
71,338 
23,704 

460 
141,281 

801 


24,765 

5,260 

34,598 

686 

5,370 
7,743 
6,673 

182 

3,883 

35,510 

722 

6,660 

210,081 

27,711 
63,741 
19,150 

387 
114,275 

525 


7,861 

1,409 

10,450 

152 

1,039 

964 

1,060 

72 

334 
3,748 

239 

3,757 

24,604 

1,907 
5,638 
3,318 

62 
23,299 

49 


645 

76 

463 

5 

114 
197 
101 

2 

43 

437 

5 

177 

4,723 

617 

1,925 

1,157 

11 

2,854 

8 


274 
17 
64 
10 

10 
41 
53 


100.0 
100.0 
100.0 
100.0 

100.0 
lOO.O 
100.0 

100.0 

100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


73.8 
77.8 
75.9 
80.4 

82.2 
86.6 
84.6 

71.1 

90.8 
88.8 
67.2 
62.8 
87.4 

91.3 
89.4 
80.8 
84.1 
80.9 
65.5 


23.4 
20.8 
22.9 
17.8 

15.9 
10.8 
13.4 

28.1 

7.8 
9.4 
22.2 
35.4 
10.2 

6.3 
7.9 
14.0 
13.5 
16.5 
6.1 


1.9 
1.1 
1.0 
.6 

1.7 
2.2 
1.3 

.8 

1.0 
1.1 

.5 
1.7 
2.0 

2.0 
2.7 
4.9 
2.4 
2.0 
1.0 


.8 




.3 




.1 




1.2 


Stolen property; buying, receiving, 


.2 




.5 




.7 






Sex offenses (except forcible 


15 

300 

109 

16 

1,049 

128 
34 
79 


.4 




.8 




10.1 




.2 




.4 




.4 




(') 




.3 








853 
219 


.6 




27.3 









































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

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

'Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 

^Includes arson. 

'Less than one-tenth of I percent. 



225 



Table 58. — Rural County Arrests, Distribution by Ethnic Origin, 1983 

[2,019 agencies; 1983 estimated population 21,904,000] 



Offense charged 



Total all ages 



Number of arrests 



Hispanic 



Non- 
Hispanic 



Percent distiibution 



Hispanic 



Non- 
Hispanic 



TOTAL 

Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 

Violent crime' 

Property crime^ 

Crime Index total^ 

Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, possessing 

Vandalism 

Weapons; carrying, possessing, etc 

Prostitution and commercialized vice 

Sex offenses (except forcible 

rape and prostitution) 

Drug abuse violations 

Gambling 

Offenses against family and children 

Driving under the influence 

Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) 

Suspicion 

Curfew and loitering law violations 

Runaways 



760,455 



1,445 

2,063 

3,000 

20,806 

31,470 

42,643 

6,926 

1,376 



27,314 
82,415 



109,729 



32,826 
6,490 

42,488 

811 

6,465 

12,835 
7,544 

222 

4,202 

37,029 

918 

9,682 

227,785 

37,103 

66,345 

22,814 

495 

126,873 

810 

717 

6,272 



40,293 



720,162 



67 

98 

132 

876 

1,202 

1,472 

431 

28 



1,378 

1.965 

2,868 

19,930 

30,268 

41,171 

6,495 

1,348 



1,173 
3,133 



26,141 
79,282 



i,306 



105,423 



999 
163 
385 
11 
209 
254 
440 



31,827 
6,327 

42,103 

800 

6,256 

12,581 
7,104 

218 



155 


4,047 


1,725 


35,304 


10 


908 


163 


9,519 


4,156 


213,629 


925 


36,178 


7,276 


59,069 


1,381 


21,433 


38 


457 


7,337 


119.536 


34 


776 


74 


643 


248 


6,024 



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 
lOO.O 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 

100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



5.3 



4.6 
4.8 
4.4 
42 
3.8 
3.5 
6.2 
2.0 



4.3 
3.8 



3.9 



3.0 
2.5 
.9 
1.4 
3.2 
2.0 
5.8 



3.7 
4.7 
I.I 
1.7 
6.2 

2.5 
11.0 
6.1 
7.7 
5.8 
4.2 
103 
4.0 



94.7 



95.4 
95.2 
95.6 
95.8 
96.2 
96.5 
93.8 
98.0 



95.7 
96.2 



96.1 



97.0 
97.5 
99.1 
98.6 
96.8 
98.0 
94.2 

98.2 

96.3 
95.3 
98.9 
98.3 
93.8 

97.5 
89.0 
93.9 
92.3 
94.2 
95.8 
89.7 
96.0 



See footnotes at end of table. 



226 



Table 58. — Rural County Arrests, Distribution by Ethnic Origin, 1983 — Continued 



Offense charged 



Under 18 years of age 



Number of arrests 



Hispanic 



Non- 
Hispanic 



Percent distribution 



Hispanic 



Non- 
Hispanic 



TOTAL 

Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary :-. 

Larceny-theft 

Motor vehicle theft 

Arson 

Violent crime' 

Property crime^ 

Crime Index total' 

Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, possessing 

Vandalism 

Weapons; carrying, possessing, etc 

Prostitution and commercialized vice 

Sex offenses (except forcible rape and prostitution) 

Drug abuse violations 

Gambling 

Offenses against family and children 

Driving under the influence 

Liquor laws ■•■ 

Drunkenness 

Disorderly conduct 

Vagrancy - 

All other offenses (except traffic) 

Suspicion 

Curfew and loitering law violations 

Rimaways - 



64,984 



88 
157 

278 
1,200 
9.800 
8.873 
2,164 

328 



1,723 
21,165 



22,888 



2,066 
539 
311 

7 

765 

4,451 

479 

12 

516 

2,575 

23 

107 

3,418 

7,783 
1,654 
1,746 

88 
8,480 

87 

717 

6,272 



2,858 



62,126 



100.0 



2 

5 

9 

65 

349 

275 

76 

7 



81 
707 



788 



9 

118 



182 

196 
292 
127 

14 

551 

2 

74 
248 



86 

152 

269 

1,135 

9,451 

8,598 

2,088 

321 



100.0 
lOO.O 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



1,642 
20,458 



100.0 
100.0 



22,100 



100.0 



1,972 

522 

306 

5 

745 

4,372 
442 

12 

507 

2,457 

23 

104 

3,236 

7,587 

1,362 

1,619 

74 

7,929 

85 

643 

6,024 



100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



4.4 



2.3 
3.2 
3.2 
5.4 
3.6 
3.1 
3.5 
2.1 



47 
3.3 



3.4 



4.5 

3.2 
1.6 
28.6 
2.6 
1 
7.7 



1.7 
46 



2.8 
5.3 

2.5 
17.7 

7.3 
15.9 

6.5 

2.3 
10.3 

40 



95.6 



97.7 
96.8 
96.8 
94.6 
96.4 
96.9 
965 
97.9 



95.3 
96.7 



96.6 



95.5 
968 
98.4 
71.4 
97.4 
98.2 
92.3 

100.0 
98.3 
95.4 

100.0 
97.2 
94.7 

97.5 
82.3 
92.7 
841 
93.5 
97.7 
89.7 
96.0 



Sec footnotes at end of table. 



227 



Table 58. — Rural County Arrests, Distribution by Ethnic Origin, 1983 — Continued 



Offense charged 



18 years of age and over 



Number of arrests 



Hispanic 



Non- 
Hispanic 



Percent distribution 



Hispanic 



Non- 
Hispanic 



TOTAL.. 



Murder and nonnegligent manslaughter-. 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 



Violent crime' ... 
Property crime' . 



Cnme Index total' 



Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, 

receiving, possessing 

Vandalism 

Weapons; carrying, possessing, etc. 



Prostitution and commercialized vice . 
Sex offenses (except forcible 

rape and prostitution) 

Drug abuse violations 

Gambling 

Offenses against family and children.. 
Driving under the influence 



Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) .... 

Suspicion 

Curfew and loitering law violations . 
Runaways 



695,471 



1,357 

1,906 

2.722 

19,606 

21,670 

33,770 

4,762 

1,048 



25,591 
61,250 



86,841 



30,760 

5,951 

42,177 

804 

5,700 
8,384 
7,065 

210 



37,435 



658,036 



65 

93 

123 

811 

853 

1,197 

355 

21 



1,292 

1,813 

2,599 

18,795 

20,817 

32,573 

4,407 

1,027 



1,092 
2,426 



24,499 
58,824 



3,518 



83,323 



905 

146 

380 

9 

189 
175 
403 



3,686 


146 


34,454 


1,607 


895 


10 


9,575 


160 


224,367 


13,974 


29,320 


729 


64,691 


6,984 


21,068 


1,254 


407 


24 


118,393 


6,786 


723 


32 



29,855 

5,805 

41,797 

795 

5,511 
8,209 
6,662 

206 

3,540 

32,847 

885 

9,415 

210,393 

28,591 
57,707 
19,814 

383 
111,607 

691 



100.0 



100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



100.0 
100.0 



100.0 



100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 

100.0 

100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
ICO.O 



5.4 



4.8 

4.9 
4.5 
4.1 
3.9 
3.5 
7.5 
2.0 



4.3 
4.0 



4.1 



2.9 

2.5 

.9 

1.1 

3.3 
2.1 

5.7 

1.9 

4.0 
4.7 
1.1 
1.7 
6.2 

2.5 
10.8 
6.0 
5.9 

5.7 
4.4 



94.6 



95.2 
95.1 
95.5 
95.9 
96.1 
96.5 
92.5 
98.0 



95.7 
960 



95.9 



97.1 
97.5 
99.1 
98.9 

96.7 
97.9 
94.3 

98.1 

96.0 
95.3 
98.9 
98.3 
93.8 

97.5 
89.2 
94.0 
94.1 
94.3 
95.6 



'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 
^Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 
'Includes arson. 



228 



Table 59. — Suburban Area* Arrest Trends, 1982-1983 

[4,195 agencies; 1983 estimated population 67,346,000] 



Offense charged 



Number of pereons arrested 



Total all ages 



Percent 

change 



Under 18 years of age 



Percent 
change 



18 years of age and over 



Percent 

change 



TOTAL. 



Murder and nonnegligent manslaughter . 

Forcible rape 

Robbery 

Aggravated assault 

Burglary , 

Larceny-theft 

Motor vehicle theft 

Arson , 



Violent crime .... 
Property crime^. 



Crime Index total*. 



Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, 

possessing 

Vandalism 

Weapons; carrying, possessing, etc 

Prostitution and commercialized 

vice 

Sex offenses (except forcible rape 

and prostitution) 

Drug abuse violations 

Gambhng 

OPTenses 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 



2,909^20 



4,022 

7.215 

26.758 

74.424 

136,730 

346,664 

29.491 

5.591 



112.419 
518.476 



630,895 



5.529 



2,853,428 



3.711 

7,251 

24,706 

71.621 

122,375 

328,893 

27.334 

5,376 



107.289 
483.978 



591,267 



35,204 


133,967 


26,002 


21,480 


99,240 


92,539 


2,349 


2,672 


37,557 


35,459 


70,744 


68,686 


41,237 


39,173 



5,975 



18,701 


20,853 


156,592 


163,098 


4,106 


4,785 


18,355 


18,933 


550.786 


581,699 


131,020 


119,371 


250,317 


235,941 


158,093 


145,262 


5,957 


4,221 


507,453 


511,541 


3,199 


2,825 


16,652 


15,309 


42,431 


41,197 



-1.9 



573^10 



521.994 



-8.9 



2,336,010 



2,331,434 



-7.7 
+ .5 
-7.7 
-3.8 
-105 
-5.1 
-7.3 
-3.8 



278 

1.043 

5,872 

10,966 

58,232 

120,105 

11.607 

2,498 



234 

1,042 

5,166 

9,889 

50,121 

112,153 

10,218 

2,338 



-15.8 

-.1 

-12.0 

-9.8 
-13.9 

-6.6 
-12.0 

-6.4 



3.744 

6,172 

20,886 

63,458 

78,498 

226,559 

17,884 

3,093 



^.6 
-6.7 



18,159 
192,442 



16,331 
174,830 



-10.1 
-9.2 



94,260 
326,034 



-6.3 



210,601 



191,161 



-9.2 



420,294 



-.9 

-17.4 

-6.8 

fl3.8 

-5.6 
-2.9 
-5.0 



+ 8.1 

+ 11.5 
+ 4.2 

+ 16.5 
+ 3.1 
+ 5.6 

-8.9 
-5.7 
-8.1 

-29,1 
+ .8 

-11.7 
-8.1 
-2.9 



23,601 

2.708 

1,808 

205 

10,021 

36.233 

6.928 



186 

3,740 

26,759 

110 

631 

10,412 

49,998 
10,773 
32,739 

1,227 
85,447 

1,041 
16,652 
42,431 



22,517 

2,104 

1,507 

167 

8,820 

34,818 

6,567 



195 

4,033 

23,833 

127 

588 

9,202 

43,282 
9,045 

29,153 
953 

77,416 
1,040 

15,309 

41,197 



+ 4.8 

+ 7.8 
-10.9 
+ 15.5 

-6.8 
-11.6 

-13.4 

-16.0 

-11.0 

-22.3 

-9.4 

-.1 

-8.1 

-2.9 



5,343 

14,961 

129,833 

3,996 

17,724 
540,374 

81,022 

239,544 

125,354 

4,730 

422,006 

2,158 



3,477 

6,209 

19,540 

61,732 

72,254 

216,740 

17,116 

3,038 



90,958 
309,148 



400,106 



-4.6 


111,603 


111.450 


-22.3 


23,294 


19,376 


-16.6 


97,432 


91,032 


-18.5 


2,144 


2,505 


-12.0 


27,536 


26,639 


-3.9 


34,511 


33,868 


-5.2 


34,309 


32,606 



5,780 

16,820 

139,265 

4,658 

18,345 
572,497 

76,089 
226,896 
116,109 

3,268 
434,125 

1,785 



-7.1 
+ .6 
-6.4 
-2.7 
-8.0 
-4.3 
-4.3 
-1.8 



-3.5 
-5.2 



-.1 
-16.8 
-6.6 

hl6.8 

-3.3 
-1.9 
-5.0 



+ 8.2 

+ 12.4 
+ 7.3 

+ 16.6 
+ 3.5 
+ 5.9 

-6.1 

-5.3 
-7.4 

-30.9 
+ 2.9 

-17.3 



'Includes suburban city and county law enforcement agencies within metropolitan areas. Excludes core cities. Suburban cities and counties are also included in other groups. 
^Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 
^Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 
^Includes arson. 



229 



Table 60. — Suburban Area' Arrest Trends, Sex, 1982-1983 
[4.195 agencies; 1983 estimated population 67,346.000] 



Offense charged 



Percent 
ctiange 



Percent 
change 



Percent 
change 



Percent 
change 



TOTAL . 



Murder ard nonnegligent 

manslaughter 

Forcible rape. 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 



Violent crime'.. 
Property crime^. 



Crime Index total* 



Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, 

possessing 

Vandalism 

Weapons; carrying, possessing, etc. . 

Prostitution and commercialized 



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) 
Su.spicion (not included in totals) 
Curfew and loitering law violations 
Runaways 



2,427,233 



2,374,523 



-2.2 



452,829 



409,061 



-9.7 



481,987 



478,905 



-.6 



120,381 



112,933 



3,516 

7,142 

24.890 

65.510 

127,169 

244.140 

26,651 

4.941 



101.058 
402.901 



503,959 



115,528 

17,777 

54,479 

1.647 

33,117 
64.448 
38.334 



1.531 

17,798 

133,702 

3,600 

16.671 
487.277 

109,659 

227.497 

134,821 

5,074 

429,660 

2.727 

12,436 

18,218 



3,211 

7,191 

22,968 

62.697 

113,604 

229,339 

24,672 

4,767 



-8.7 
V.7 
-7.7 
^.3 
-107 
-6.1 
-7.4 
-3.5 



247 

1.023 

5.464 

9,288 

54.140 

89.32'' 

10262 

2,230 



200 
1.031 
4,803 
8,463 
46,519 
82,758 
9,002 
2.106 



-19.0 

+ .8 
-12.1 

-8,9 
-14.1 

-7.4 
-12.3 

-5.6 



506 

73 

1.868 

8,914 

9,561 

102,524 

2,840 

650 



500 

60 

1,738 

8,924 

8,771 

99,554 

2,662 

609 



-1.2 
-17.8 
-7.0 
+ .1 
-8.3 
-2.9 
-6.3 
-6.3 



31 

20 

408 

1,678 

4.092 

30,778 

1,345 

26S 



96.067 
372.382 



-4.9 
-7.6 



16,022 
155.959 



14,497 
140,385 



-9.5 
-10.0 



11.361 
115.575 



11.7.22 
111.596 



2,137 
36,483 



468,449 



-7.0 



171,981 



154,882 



-9.9 



126,936 



122,818 



-3.2 



38.620 



113.731 

14,319 

50,019 

1,782 

31,287 
62,497 
36,383 



2,142 

19,909 

138,727 

4.130 

17,455 
512,809 

98,636 

214,305 

123.121 

3,584 

431,968 

2.395 

11.278 

17.992 



-1.6 

-19.5 

-8.2 

+ 8.2 

-5.5 
-3.0 
-5.1 



+ 39.9 

+ 11.9 
+ 3.8 

+ 14.7 
+ 4.7 
+ 5.2 

-101 
-5.8 
-8.7 

-29.4 
+ .J 

-12.2 
-9.3 
-1.2 



18,822 

1,886 

1.219 

154 

9,048 

33.358 

6,572 



64 

3,505 

22.118 

101 

416 

9,162 

38,358 
9,255 

27.046 
1.017 

68,093 
849 

12,436 

18,218 



17,778 

1.456 

996 

136 

8 052 
31.995 
6.209 



3.803 

19.672 

114 

394 

8.013 

32,408 

7,647 

24.055 

804 
61.291 

829 
11,278 
17,992 



-5,5 
-22.8 
-183 
-11.7 

-11.0 

-4.1 
-5.5 



+ 34.4 

+ 8.5 
-11.1 
+ 12.9 

-5.3 
-12.5 

-15.5 

-17.4 

-111 

-20.9 

-10.0 

-2.4 

-9.3 

-1.2 



19,676 

8.225 

44.761 

702 

4.440 
6.296 
2.903 



3,998 

903 
22,890 

506 

1,684 

63,509 

21,361 
22,820 
23,272 

883 
77.793 

472 
4.216 
24,213 



20,236 

7,161 

42,520 

890 

4.172 
6.189 
2,790 



3,833 

944 
24,371 

655 

1,478 

68,890 

20.735 
21,636 
22.141 

637 
79,573 

430 
4,031 
23,205 



+ 2.8 
-12.9 

-5.0 
+ 26.8 

-6.0 
-1.7 
-3.9 



^.1 

+ 4.5 
+ 6.5 
+ 29.4 
-12.2 
+ 8.5 

-2.9 
-5.2 
-4.9 
-27.9 
+ 2.3 
-8.9 
-4.4 
-A.2 



4,779 

822 

589 

51 

973 

2,875 

356 



122 

235 

4,641 

9 

215 
1,250 

11.640 

1,518 

5,693 

210 

17,354 

192 

4,216 

24,213 



34 

11 

363 

1.426 

3.602 

29.395 

1,216 

232 



1,834 
34,445 



36,279 



4,739 

648 

511 

31 

768 

2,823 

358 



109 

230 

4,161 

13 

194 
1.189 

10874 

1.398 

5,098 

149 

16,125 

211 

4,031 

23,205 



-6.2 



+ 9.7 
^5.0 
-11.0 
-15.0 
-12.0 
-4.5 
-9 6 
-13.4 



-14.2 
-5.6 



-6.1 



-21.2 
-13.2 
-39.2 

-21.1 
-1.8 
+ .6 



-10.7 

-2.1 

-10.3 

+ 444 

-9.8 

^.9 

-6.6 
-7.9 
-10.5 
-29.0 
-7.1 
+ 9.9 
^.4 
-4.2 



'Includes surburban city and county law enforcement agencies within metropolitan areas. Excludes core cities. Suburban cities and counties are also inlcuded in other groups. 
^Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 
^Property cnmes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 
^Includes arson. 



230 



able 61. — Suburban Area' Arrests, Distribution by Age, 1983 
),149 agencies; 1983 estimated population 80,620,000] 



OfTense charged 



Total 
all 
ages 



Ages 

under 

15 



Ages 

under 

18 



Ages 
18 and 
over 



Under 
10 



Age 



TOTAL 

Percent distribution^ 

lurder and nonnegligent 

manslaughter 

brcible rape 

.obbery 

Lggravaled assault 

urglary 

.arceny-theft 

lotor vehicle theft 

irson 

Violent crime' 

Percent distribution^. 

Property crime* 

Percent distribution^ 

Crime Index total^ . 
Percent distribution' 

■Hher assaults 

orgery and counterfeiting 

raud 

I .mbezzlement 

tolen property; buying, 

receiving, possessing 

'andalism 

v'eapons; carrying, 

possessing, etc 

'rostitntion and 

commercialized vice ... 
ex offenses (except forcible 

rape and prostitution) 

)rug abuse violations 

rambling 

)tTenses against family and 

children 

)riving under the influence. 

-iquor laws 

drunkenness 

iisorderiy conduct 

/agrancy 

Ml other offenses (except 

traffic) 

>uspicion 

Curfew and loitering law 

violations 

Runaways..... 



3,413,522 
100.0 



4.360 

8,767 

28,870 

84,531 

144,704 

398,051 

31,641 

6,598 



126,528 
100.0 

580,994 
100.0 



707,522 

ino.o 



163,152 

24,694 

103.391 

2.981 

41,444 
83,652 

46,220 



7,929 

24,924 

190,545 

5,445 

21,599 
692,442 

157,460 

277,317 

184,041 

5,189 

603,940 
3,356 

18,845 
47,434 



211,445 
6.2 



624,015 
18.3 



2,789,507 
81.7 



16,307 

.5 



53,243 
1.6 



141,895 

4.2 



113,993 
3.3 



138,241 
4.0 



160,336 

4.7 



181,630 
5.3 



188,239 

5.5 



181,259 
5.3 



43 

400 

1,504 

3,754 

22,206 

59.701 

2.861 

1.752 



281 

1,275 

6,092 

11,689 

59,681 

136.539 

11,976 

2,786 



4,079 

7.492 

22,778 

72,842 

85,023 

261,512 

19,665 

3.812 



17 

34 

281 

1,628 

4,931 

50 

422 



5 

84 

299 

996 

5,691 

17,582 

369 

524 



36 

299 

1.171 

2.477 

14.887 

37.188 

2.442 

806 



50 

237 

1,091 

2,007 

11,614 

24,032 

2,859 

401 



81 

288 

1.546 

2,677 

12,477 

26.032 

3.267 

338 



107 

350 

1.951 

.3,251 

13,384 

26,774 

2,989 

295 



226 

398 

2,168 

3,645 

12,660 

24.539 

2.544 

304 



223 

394 

2,104 

3,908 

10.316 

21,439 

2,120 

293 



193 

424 

1,899 

4,150 

8,157 

17,828 

1,717 

228 



5,70! 

4.5 

86,520 

14.9 



19,337 

15.3 

210,982 

36.3 



107,191 
84.7 

370,012 
63.7 



334 

.3 

7,031 

1.2 



1,384 

1.1 

24,166 

4.2 



3,983 

3.1 

55,323 

9.5 



3,385 

2.7 

38.906 

6.7 



4,592 

3.6 

42,114 

7.2 



5.659 

4.5 

43,442 

7.5 



6,437 

5.1 

40,047 

6.9 



6,629 

5.2 

34,168 

5.9 



6,666 

5.3 

27.930 

4.8 



92,221 
13.0 



230,319 
32.6 



477,203 
67.4 



7,365 
1.0 



25,550 
36 



59,306 
8.4 



42,291 
6.0 



46.706 
6.6 



49,101 
6.9 



46,484 
6.6 



40,797 
5.8 



34,596 
4.9 



10,323 
398 
263 

38 

3.033 
21.696 

2.385 



37 

2.080 

4,772 

28 

237 
268 

4.229 

1.080 

10,867 

302 

31,611 
398 

5,111 
20,068 



27,502 

2,419 

1,677 

182 

10,305 
41,850 

7,598 



267 

4,761 

27-545 

151 

670 
11.185 

52,606 

10,592 

35,176 

1,104 

90,621 
1,206 

18.845 
47.434 



135.650 

22.275 

101.714 

2.799 

31,139 
41,802 

38,622 



7,662 

20,163 

163,000 

5,29^ 

20,929 
681,257 

104,854 

266.725 

148.865 

4.085 

513.319 
2.150 



772 
9 
17 
4 

109 
3.047 

no 



165 
67 

2 

79 
40 

54 

34 

804 

9 

2,689 
29 

104 
796 



2,838 

75 

40 

9 

679 
7,062 

529 



511 

524 

2 

47 
29 

277 

70 

2,875 

65 

7,591 



875 
3,499 



6,713 

314 

206 

25 

2,245 
11,587 

1,746 



27 

1,404 
4,181 

24 

m 

199 

3,898 
976 

7,188 
228 

21,331 
281 

4,132 
15,773 



4,759 

378 

220 

26 

2,003 
6.608 

1,374 



41 

914 
5,054 

27 

114 
427 

7.327 

1,571 

6,207 

210 

17,132 
242 

4,220 
12,848 



5,723 

680 

365 

45 

2,438 
6,607 

1,725 



77 

831 

7,603 

28 

157 
2,642 

15,867 

2,867 

8,102 

278 

19,883 
302 

5,335 
9,980 



6,697 

963 

829 

73 

2,831 
6,939 

2,114 



112 

936 

10,116 

68 

162 
7,848 

25,183 

5,074 

10,000 

314 

21,995 
264 

4,179 
4.538 



6,924 

1,263 

1,889 

101 

3,167 
5,469 

2,521 



376 

942 

12,573 

93 

482 
19,405 

27,262 

9,598 

12,189 

333 

30,361 
198 



7,663 

1,391 

2,881 

136 

2,890 
4,296 

2,429 



451 

982 

13,453 

113 

527 
28,146 

22,985 

12,316 

11,969 

317 

34,294 
198 



7,980 

1,338 

3.668 

130 

2.447 
3,708 

2,264 



568 

1,012 

13,611 

111 

635 
32,418 

16.703 

13,000 

11,787 

284 

34,807 
192 



See footnotes at end of table. 



231 



Table 61. — Suburban Area' Arrests, Distribution by Age, 1983 — Continued 



offense charged 



Age 



TOTAL 

Percent distribution^ 

Murder and nonnegligent 

manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 

Violent crime' 

Percent distribution^ 

Property crime' 

Percent distribution^ 

Crime Index total' 

Percent distribution^ 

Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, 

possessing 

Vandalism 

Weapons; carrying, 

possessing, etc 

Prostitution and commercialized 
vice 

Sex ofTetises (except forcible rape 
and prostitution) 

Drug abuse violations 

Gambling 

Offenses against family and 
children 

Driving under the influence 

Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other oftenses (except 

traffic) 

Suspicion 

Curfew and loitering law 

violations 

Runaways 



165^78 
4.8 



218 

468 

1,714 

4,249 

5,987 

14,475 

1,409 

223 



6,649 

5.3 

22,094 

3.8 



28,743 
4.1 



8,158 

1,347 

4,873 

133 

2,200 
2,908 

2,223 



636 

971 

12,530 

113 

1,067 

37,547 

4,624 

13,735 

10,217 

251 

32,860 
142 



152,854 
4.5 



140,696 
4.1 



556,918 
16.3 



363,785 
10.7 



238,763 
7.0 



157,011 
4.6 



104,966 
3.! 



76,168 
2.2 



52,226 
1.5 



210 

392 

1,470 

3,984 

5,255 

12,943 

1,143 

195 



172 

425 

1,330 

3.645 

4,335 

11,835 

1,035 

162 



802 

1,601 

4.950 

15,628 

15,566 

47,967 

3,570 

745 



624 

1,130 

2,790 

10,383 

7,948 

32,334 

1,913 

459 



406 

699 

1,237 

7,262 

3,724 

19,654 

1,111 

348 



261 

475 

562 

4,593 

1,857 

12,821 

680 

253 



188 
245 
361 

2,825 
987 

8,642 
449 
145 



145 
168 
171 

1.869 
627 

6,851 

232 

97 



94 

99 

122 

1.132 

367 

5,484 

163 

54 



6,056 

4.8 

19,536 

3.4 



5,572 

4.4 

17,367 

3.0 



22,981 
18.2 

67,848 
11.7 



14,927 

11.8 

42,654 

7.3 



9,604 

7.6 

24,837 

4.3 



5,891 

4.7 

15,611 

2.7 



3,619 

2.9 
10,223 
1 



2,353 
1.9 

7,807 
1.3 



1,447 
1.1 

6,068 
1.0 



25,592 
3.6 



22,939 
3.2 



90,829 
12 



57,581 
8.1 



34,441 
4.9 



21,502 
3.0 



13,842 
2.0 



10.160 
1.4 



7,515 
1.1 



7,721 

1,271 

5,039 

146 

1,845 
2,469 

2,135 



639 

926 

12,107 

123 

975 
36,082 

3,526 

13,217 

9.042 

192 

29,673 
134 



7,111 

1,201 

4,912 

132 

1,698 
2,147 

1,883 



487 

937 

10,804 

111 

913 
34,191 

2.827 

12,119 

7,992 

201 

27,978 
113 



29,373 

5,362 

23,276 

589 

5,890 
7,541 



1,777 

3,748 

38,086 

719 

4,908 
140,241 

8.763 

49,771 

28.511 

824 

108,402 
428 



19,361 

3,611 

19,044 

463 

3,522 
4,204 

5.223 



855 

2,827 

19,858 

665 

4,194 
97,631 

4,424 
35,640 
16,494 

483 

67,446 
259 



12,929 

1,953 

13,463 

356 

2,202 
2,480 

3,457 



472 

2,307 

9,184 

699 

2,973 
70,195 

2,585 

25,623 

10,309 

327 

42,663 
145 



8,199 
961 

8,029 
198 

1,247 
1,382 

2,350 



276 

1,426 

3,945 

593 

1,751 
50,070 

1,703 

19,201 

6,805 

191 

27,115 
67 



4,820 
577 

4,565 
108 

764 
791 

1,559 



204 

963 

1,859 

525 

923 
35,543 

1,236 

15,251 

4,402 

124 

16,843 
67 



3,146 

317 

2,928 

86 

482 
517 

1,052 



126 

741 
954 
499 

463 
26,053 

893 

13,033 

3,170 

114 

11,402 
32 



1,920 

163 

1,490 

49 

288 
326 

648 



96 

565 

548 
357 

232 
18,575 

637 

9,294 

2,254 

78 

7,174 
17 



30,319 
.9 



51 
60 
20 
722 
126 
3,717 
57 
32 



853 

.7 

3,932 

.7 



4,785 
.7 



1,095 

73 

657 

32 

144 



327 



46 

349 
248 
228 

97 
10,332 

416 

5,875 

1,323 

51 

4,052 
9 



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

^Because of rounding, the percentages may not add to total. 

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

'Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 

'Includes arson. 



232 



ble 62. — Suburban Area* Arrests of Persons imder 15, 18, 21 and 25 Years of Age, 1983 

49 agencies; 1983 estimated population 80,620,000] 



Offense charged 



Total 
all ages 



Number of persons arrested 



Percent of total all ages 



Under 
15 



Under 
18 



Under 
21 



Under 

25 



TOTAL 

rder and nonnegligent 

lanslaughter 

cible rape 

7bery 

^avated assault 

■glary 

ceny-theft 

tor vehicle theft 

ion , 

Violent crime' 

Property crime' 

Crime Index total* . . 

ler assaults 

gery and counterfeiting.. 

ud 

bezzlement 

len property; buying, 

lx:eiving, possessing 

[idalism 

iapons; carrying, 
lossessing, etc 

stitution and 

ommercialized vice 

ofTenses (except forcible 
ape and prostitution) 

ig abuse violations 

mbiing 

enses against family and 

hildren 

ving under the influence 

|uor laws 

unkenness 

K)rderly conduct 

grancy 

other offenses (except 

raffic) 

ipicion 

ifew and loitering law 

violations 

naways 



3,413,522 



4,360 

8,767 

28,870 

84,531 

144,704 

398,051 

31,641 

6,598 



126,528 
580,994 



707,522 



163,152 

24,694 

103,391 

2,981 

41,444 
83.652 

46,220 



7,929 

24.924 

190,545 

5,445 

21,599 
692,442 

157,460 

277.317 

184.041 

5,189 

603.940 
3.356 

18,845 
47,434 



211,445 



624,015 



1,175,143 



1,804,025 



6.2 



18.3 



43 

400 

1,504 

3,754 

22,206 

59,701 

2,861 

1,752 



281 

1,275 

6,092 

11.689 

59.681 

136,539 

11,976 

2,786 



923 

2,491 

12,263 

23,392 

90,814 

200,345 

18,357 

3.611 



1.722 

4.234 

18.591 

39.397 

113,271 

255,254 

23,380 

4,431 



1.0 
4.6 
5.2 
4.4 
15.3 
15.0 
9.0 
26.6 



6.4 
14.5 
21,1 
13.8 
41.2 
343 
37.8 
42.2 



5,701 
86,520 



19,337 
210,982 



39,069 
313.127 



63,944 
396,336 



45 
14.9 



15.3 
36.3 



92,221 



230,319 



352.196 



460,280 



13.0 



32.6 



10,323 

398 

263 

38 

3,033 
21,696 

2,385 



37 

2,080 

4,772 

28 

237 
268 

4,229 

1,080 

10,867 

302 

31,611 
398 

5,111 
20,068 



27,502 
2,419 
1,677 

182 

10,305 
41,850 

7,598 



267 

4,761 

27,545 

151 

670 
11,185 

52,606 

10,592 

35,176 

1,104 

90,621 
1,206 

18.845 
47.434 



50.069 

6,411 

10,115 

549 

18.809 
55.323 

14,812 



1.662 

7,697 

67,182 

473 

2,314 
91,154 

119,556 

45,506 

71,121 

2,038 

190,083 
1,794 

18,845 
47,434 



81,252 

11,593 

29,282 

1,088 

26,769 
66,029 

23,343 



4,015 

11.522 

115.636 

931 

5,966 
235,726 

136,446 

98,673 

109,479 

2.949 

314,448 
2,319 

18.845 
47,434 



6.3 
1.6 
.3 
1.3 

7.3 
25.9 

5.2 



8.3 

2.5 

.5 

1.1 
(') 

2.7 

.4 

5.9 

5.8 

5.2 
11.9 

27.1 
42.3 



169 
9.8 
1.6 
61 

24.9 
50.0 

16.4 



3.4 

19.1 
14.5 

2.8 

3.1 
1.6 

33.4 

3.8 

19.1 

21.3 

15,0 
35.9 

100.0 
100.0 



34.4 



21.2 
28.4 
42.5 
27.7 
62.8 
503 
58.0 
54.7 



30.9 
53.9 



49.8 



307 

26.0 

9.8 

18.4 

45.4 
66.1 

32.0 



21.0 

30.9 

35.3 

8.7 

10.7 
13.2 

75.9 
16.4 
38.6 
39.3 

31.5 
53.5 

100.0 
100.0 



52.8 



39.5 

48.3 
64.4 
46.6 
78.3 
64.1 
73.9 
67.2 



505 
68.2 



65.1 



49.8 
46.9 
28.3 
36.5 

64.6 
78.9 

505 



506 

46.2 
60.7 
17.1 

27.6 
34.0 

86.7 
35.6 
59.5 
56.8 

52.1 
69.1 

100.0 
100.0 



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

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

'Property cnmes are offenses of burglary, larceny-theft, motor vehicle theft, and arson, 

*Includes arson, 

'Less than one-tenth of 1 percent. 



233 



Table 63. — Suburban Area Arrests, Distribution by Sex, 1983 

[5.149 agencies; 1983 estimated population 80,620,000] 



Offense charged 



Number of persons arrested 



Male 



Percent 
male 



Percent 
female 



Percent distribution' 



TOTAL 

Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 

Violent crime' 

Property crime' 

Crime Index total' 

Other assaults 

Forgery and counterfeiting 

Fraud ;.. 

Embezzlement 

Stolen properiy; buying, receiving, possessing 

Vandalism 

Weapons; carrying, possessing, etc 

Prostitution and commercialized vice 

Sex offenses (except forcible rape and 

prostitution) 

Drug abuse violations 

Gambling 

Offenses against family and children 

Driving under the influence 

Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) 

Suspicion 

Curfew and loitering law violations 

Runaways 



3,413,522 



4,360 
8,767 

28,870 
84,531 
144,704 
398,051 
31,641 
6,598 



126,528 
580.994 



707,522 



163.152 
24,694 

103,391 
2.981 
41,444 
83.652 
46,220 

7,929 

24,924 

190,545 

5,445 

21,599 
692,442 

157,460 

277,317 

184,041 

5,189 

603,940 

3,356 

18,845 

47,434 



2,843,733 



569,789 



83.3 



16,7 



3,764 

8,675 

26,847 

73,900 

134,696 

277,989 

28,606 

5,796 



596 
92 

2,023 
10.631 
10,008 
120.062 
3,035 
802 



86.3 
99.0 
93.0 
87.4 
93.1 
69.8 
90.4 
87.8 



13.7 
1.0 
7.0 

12.6 
69 

302 
9.6 

12.2 



113,186 

447,087 



13,342 
133,907 



89.5 
77.0 



105 

23.0 



560,273 



147,249 



79.2 



201 



138,574 
16,566 
56,200 
2,000 
36,591 
76,085 
42,890 

2,663 

23,754 

162,572 

4,689 

19,845 
611,021 

130,276 

252,110 

155,706 

4,404 

510.219 

2,851 

13.880 

20,564 



24,578 
8,128 

47,191 

981 

4,853 

7,567 

3,330 

5,266 

1,170 

27,973 

756 

1,754 
81.421 

27,184 
25,207 
28.335 

785 
93,721 

505 

4,965 

26,870 



84.9 
67.1 
54.4 
67.1 
88.3 
91.0 
92.8 

33.6 

95.3 
85.3 
86.1 
919 
88.2 

82.7 
90.9 
84.6 
84.9 
84.5 
85.0 
73.7 
43.4 



15.1 
32.9 
45.6 
32.9 
11.7 
9.0 
7.2 

66.4 

4.7 
147 
13.9 

8.1 
11.8 

17.3 
9.1 
15.4 
15.1 
15.5 
15,0 
263 
56.6 



lOO.O 



.1 

.3 

.8 

2.5 

4.2 

11.7 

.9 

.2 



3.7 
17.0 



20.7 



4.8 
.7 
3.0 
.1 
1.2 
2.5 
1.4 

.2 

.7 

5.6 

.2 

.6 

20.3 

4.6 
8.1 

5.4 
.2 
17.7 
.1 
.6 
1.4 



100.0 



.1 

.3 

.9 

2.6 

4.7 

9.8 

1.0 

.2 



4.0 

15.7 



19.7 



4.9 
.6 

2.0 
.1 

1.3 
2.7 
1.5 



5.7 

.2 

.7 

21.5 

4.6 

8.9 

5.5 

.2 

17.9 

.1 

.5 

.7 



100, 



25. 



14. 

4. 

4. 

5.1 

16.. 



'Includes suburban city and county taw enforcement agencies within metropolitan areas. Excludes core cities. Suburban cities and counties are also mcluded in other groups. 

^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. 

'Properly crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 

'Includes arson. 



234 



Table 64. — Suburban Area' Arrests, Distribution by Race, 1983 

5,127 agencies; 1983 estimated population 80.432.000] 



Offense charged 



American 
Indian 



Alaskan 
Native 



Pacific 
Islander 



Percent distnbution' 



American 
Indian 



Alaskan 
Native 



Pacific 
Islander 



TOTAL 

Murder and nonnegligent 

manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 

Violent crime^ 

Property crime* 

Crime Index total' 

Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, 

possessing 

Vandalism 

Weapons; carrying, possessing, etc.... 
Prostitution and commercialized vice 
Sex offenses (except forcible 

rape and prostitution) 

Drug abuse violations 

Gambhng 

Offenses against family and children 
Driving under the influence 

Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) 

Suspicion 

Curfew and loitering law violations.. 
Runaways 



3,401,477 



4.359 

8.752 

28,847 

84.363 

144,436 

397,582 

31,606 

6,585 



126,321 
580,209 



706,530 



163,015 

24,667 

106,786 

2,979 

41,349 

83,551 

46,145 

7,917 

24,895 

189,773 

5,437 

21,524 
683,092 

156,860 

276,434 

183,734 

5,188 

602,251 

3,326 

18,752 

47,272 



2,796,932 



582,861 



12,096 



9,588 



100.0 



82,2 



17.1 



2.854 

5.801 

14.503 

60.469 

112.745 

291,513 

25,193 

5,644 



1,460 

2,884 

14,207 

23,259 

30,854 

102,374 

6,197 

887 



29 
36 

77 

338 

496 

1,382 

134 

37 



16 
31 
60 

297 

341 

2,313 

82 

17 



100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



65.5 
66.3 
503 
71.7 
78.1 
73.3 
79.7 
85.7 



33.5 
33.0 
49.2 
27.6 
21.4 
25.7 
19.6 
13.5 



83.627 
435.095 



41.810 
140.312 



480 
2.049 



404 
2.753 



100.0 
lOO.O 



66.2 
75.0 



33.1 
24.2 



518.722 



182,122 



2,529 



3,157 



100.0 



73.4 



25.8 



124.129 

17.910 

78,830 

2,242 

29,683 

74,218 
35,149 
4,826 

21,693 

157,085 

3,205 

13,824 
627,693 

148,732 

243,226 

153,470 

4,107 

475,753 

2,785 

16,905 

42,745 



37,758 

6,644 

27,622 

713 

11,437 
8,959 

10,683 
2,998 

3,018 

32,035 

2,216 

7,629 

51,457 

7,330 

29,904 

29,392 

1,012 

123,366 

518 

1,772 

4,276 



604 

55 

141 

5 

146 

203 
120 
37 

89 

343 

5 

44 

1,989 

522 

2,750 

568 

50 

1,702 

15 

32 

147 



524 
58 

193 
19 

83 
171 
193 

56 

95 

310 

11 

27 

1,953 

276 

554 

304 

19 

1,430 

8 

43 

104 



100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
lOO.O 
100.0 
100.0 
100.0 
100.0 
100.0 



76.1 
72.6 
73.8 
75.3 

71.8 
88.8 
76.2 
61.0 

87.1 
82.8 
58.9 
64.2 
91.9 

94.8 
88.0 
83.5 
79.2 
79.0 
83.7 
90.2 
90.4 



23.2 
26.9 
25.9 
23.9 

27.7 
107 
23.2 
37.9 

12.1 
16.9 
40.8 
35.4 
7.5 

4.7 
10.8 
16.0 
19.5 
20.5 
15.6 
9.4 
9.0 



See footnotes at end of table. 



235 



Table 64. — Suburban Area' Arrests, Distribution by Race, 1983 — Continued 



offense charged 



Arrests under 18 



Amencan 
Indian 



Alaskan 
Native 



Pacific 
Islander 



Percent distribution 



American 
Indian 



Alaskan 
Native 



Pacific 
Islander 



TOTAL 

Murder and noiinegligent 

manslaughter 

Forcible rape , 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 

Violent crime' 

Property crime* 

Crime Index total' 

Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, 

possessing 

Vandalism 

Weapons; carrying, possessing, etc 

Prostitution and commercialized vice 
Sex offenses (except forcible 

rape and prostitution) 

Drug abuse violations. 

Gambling 

Offenses against family and children 
Driving under the influence 

Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) 

Suspicion 

Curfew and loitering law violations.. 
Runaways 



622,015 



281 
1,270 
6,089 
11,680 
59,548 
136,343 
11,960 
2,778 



19,320 
210,629 



229,949 



27,487 

2,419 

1,673 

182 

10,277 

41,776 

7,583 

267 

4,759 

27,026 

151 

666 

11,099 

52,399 
10,558 
35,096 

1,104 
90,337 

1,183 
18,752 
47,272 



529,117 



89,327 



1,755 



1,816 



100.0 



85.1 



195 

783 

2,678 

8,469 

49,502 

106,120 

10,075 

2,492 



81 

480 

3,382 

3,146 

9,637 

29,069 

1,781 

267 



3 
5 

16 
28 
210 
473 
60 
10 



2 
2 

13 

37 

199 

681 

44 

9 



100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



69.4 
61.7 
44.0 

72.5 
83.1 
77.8 
84.2 
89.7 



12,125 
168,189 



7,089 
40,754 



52 
753 



54 
933 



100.0 
100.0 



62.8 
79.9 



180,314 



47,843 



805 



987 



100.0 



78.4 



21,010 

2,170 

1,395 

138 

7,792 

38,139 

6,216 

176 

3,984 

24,417 

91 

589 

10,815 

51,247 
10,090 
30,328 
985 
78,513 
1,058 
16,905 
42,745 



6,295 

237 

272 

43 

2,410 
3,485 
1,305 



746 

2,500 

60 

76 

231 

963 

367 

4,648 

113 

11,479 

118 

1,772 

4,276 



38 

116 

77 

64 

3 

166 

2 

32 
147 



1 

15 

73 
24 
56 
3 
179 
5 
43 
104 



100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
lOO.O 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



76.4 
89.7 
83.4 
75.8 

75.8 
91.3 
82.0 
65.9 

83.7 
90.3 
60.3 
88.4 
97.4 

97.8 
95.6 
86.4 
89.2 
86.9 
89.4 
90.2 
90.4 



14.4 



28, 
37.8 
55.5 
26.9 
16.2 
21.3 
14.9 
9.6 



36.7 
19.3 



20.8 



22.9 

9.8 

16.3 

23.6 

23.5 

8.3 

17.2 

33.0 

15.7 
9.3 
39.7 
11.4 
2.1 

1.8 
3.5 
13.2 
10.2 
12.7 
10.0 
9.4 
9.0 



1.1 

.4 
.3 
.2 
.4 
.3 
,5 
.4 



See footnotes at end of table. 



236 



able 64. — Suburban Area' Arrests, Distribution by Race, 1983 — Continued 



Offense charged 


Arrests 18 and over 


Percent distribution^ 


Total 


White 


Black 


American 

Indian 

or 

Alaskan 
Native 


Asian 

or 
Pacific 
Islander 


Total 


White 


Black 


American 

Indian 

or 

Alaskan 
Native 


Asian 

or 
Pacific 
Islander 


TOTAL 


2,779,462 


2,267,815 


493,534 


10>H 


7,772 


100.0 


81.6 


17.8 


.4 


J 


urder and nonnegligent 




4.078 

7.482 

22.758 

72.683 

84.888 

261.239 

19,646 

3,807 


2.659 

5,018 

11,825 

52,000 

63,243 

185,393 

15,118 

3,152 


1.379 

2.404 

10.825 

20.113 

21.217 

73.305 

4.416 

620 


26 

31 

61 

310 

286 

909 

74 

27 


14 

29 

47 

260 

142 

1,632 

38 

8 


100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


65.2 

67.1 
52.0 
71.5 
74.5 
71.0 
77.0 
82.8 


33.8 
32.1 
47.6 
27.7 
25.0 
28.1 
22.5 
16.3 




.3 




.4 




.2 


zgravated assault 


.4 




.2 




.6 




.2 




.2 








107,001 
369,580 


71,502 
266,906 


34.721 
99,558 


428 
1,296 


350 
1,820 


100.0 
100.0 


66.8 
72.2 


32.4 
26.9 


.4 
.4 


.3 




.5 








476.581 


338,408 


134.279 


1,724 


2.170 


100.0 


71.0 


28.2 


.4 


.5 








135,528 

22,248 

105,113 

2,797 

31,072 

41.775 

38,562 

7,650 

20,136 

162,747 

5,286 

20,858 
671.993 

104.461 
265.876 
148,638 

4,084 
511,914 

2.143 


103,119 

15,740 

77,435 

2,104 

21,891 

36,079 

28,933 

4,650 

17.709 

132.668 

3,114 

13,235 
616,878 

97,485 

233,136 

123,142 

3,122 

397,240 

1.727 


31.463 

6.407 

27.350 

670 

9,027 
5,474 
9,378 
2,910 

2,272 

29,535 

2,156 

7,553 

51,226 

6,367 

29,537 

24,744 

899 

111,887 

400 


521 
48 
137 

5 

105 
127 
101 
35 

74 

285 

5 

44 

1,951 

406 

2,673 

504 

47 

1,536 

13 


425 
53 

191 
18 

49 
95 
150 

55 

81 

259 

11 

26 

1.938 

203 

530 

248 

16 

1,251 

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 


76.1 
70.7 
73.7 
75.2 

70.5 
86.4 
75.0 
60.8 

87.9 
81.5 
58.9 
63.5 
91.8 

93.3 
87.7 
82.8 
76.4 
77.6 
80.6 


23.2 
28.8 
26.0 
24.0 

29.1 
13.1 
24.3 
38.0 

11.3 
18.1 
40.8 
36.2 
7.6 

6.1 
11.1 
16.6 
22.0 
21.9 
18.7 


.4 

.2 
.1 
.2 

.3 
.3 
.3 
.5 

.4 
.2 
.1 
.2 
.3 

.4 
1.0 

.3 
1.2 
.3 
.6 


.3 




.2 




.2 




.6 


jlen property; buying, receiving, 


.2 




.2 




.4 




.7 




.4 




.2 




.2 




.1 




.3 




.2 




.2 


isorderly conduct 


.2 
.4 


II other offenses (exceot trafHc) 


.2 




.1 


jrfew and loitering law 
































1 



'Includes suburban city and county law enforcemenl agencies within metropohtan areas. Excludes core cities. Suburban cities and counties are also included in other groups. 

^Because of rounding, the percentages may not add to total. 

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

^Property cnmes are offenses of burglary, larceny- theft, motor vehicle theft, and arson. 

^Includes arson. 



237 



Table 65. — Suburban Area' Arrests, Distribution by Ethnic Origin, 1983 

[4,528 agencies; 1983 estimated population 70,265,000] 



Offense charged 



Tola] all ages 



Number of arrests 



Hispanic 



Non- 
Hispanic 



Percent distnbution 



Hispanic 



Non- 
Hispanic 



TOTAL.. 



Murder and nonnegligent manslaughter.. 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 



Violent crime^ ... 
Property crime^ . 



Crime Index total'' . 



Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property: buying, receiving, possessing. 

Vandalism 

Weapons; carrying, possessing, etc 



Prostitution and commercialized vice 

Sex offenses (except forcible rape and prostitution) . 

Drug abuse violations 

Gambling 

Offenses against family and children 

Driving under the influence 



Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) 

Suspicion 

Curfew and loitering law violations . 
Runaways 



2,973,606 



3,624 

7,335 

23.510 

67,883 

122,095 

342,506 

27,618 

5,874 



102,352 
498,093 



600,445 



149,116 
22,013 
89,906 
2,767 
36,845 
76,852 
39,789 

6,054 

21,798 

162,414 

4,502 

19,068 

626,779 

142,897 

254,751 

166,567 

4,840 

488,449 

2,582 

15,898 

39,274 



270,799 



2,702,807 



569 

759 

2,478 

6,968 

12,073 

24,141 

3,108 

268 



3,055 

6,576 

21,032 

60,915 

1 10,022 

318,365 

24,510 

5,606 



10,774 
39.590 



91,578 
458,503 



50,364 



550,081 



9,555 


139,561 


1,164 


20,849 


1,896 


88,010 


106 


2,661 


3,886 


32,959 


3,221 


73,631 


4,803 


34,986 


365 


5,689 


1,648 


20,150 


22,152 


140,262 


247 


4,255 


631 


18,437 


69,294 


557,485 


5.561 


137,336 


49,009 


205,742 


8,780 


157,787 


542 


4,298 


34,056 


454,393 


285 


2,297 


1,096 


14,802 


2,138 


37,136 



100.0 



100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



100.0 
100.0 



100.0 



100.0 
100.0 
100.0 
100.0 
lOO.C 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



15.7 
103 
10,5 
103 
9.9 
7.0 
11.3 
46 



10.5 
7.9 



8.4 



6.4 
5.3 
2.1 
3.8 

105 
4.2 

12.1 

6.0 
7.6 

13.6 
5.5 
3.3 

111 

3.9 
19.2 

5.3 
11.2 

7,0 
II.O 

6.9 

5.4 



See footnotes at end of table. 



238 



I able 65, — Suburban Area' Arrests, Distribution by Ethnic Origin, 1983 — Continued 



Offense charged 



Under 18 years of age 



Number of arrests 



Hispanic 



Non- 
Hispantc 



Percent distribution 



Hispanic 



Non- 
Hispanic 



TOTAL.. 



Wurder and nonnegUgent manslaughter.. 

Forcible rape 

(Jobbery 

\ggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

\rson 



Violent crime 
Propeily crime' 



Crime Index total 



Dther assaults 

Forgery and counterfeiting 

^raud 

Embezzlement 

Jtolen property; buying, 

receiving, possessing 

Vandalism 

(Veapons; carrying, possessing, etc. 



"Prostitution and commercialized vice, 
iex offenses (except forcible 

rape and prostitution) 

3rug abuse violations 

jambling 

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 



544,S05 



248 

1,071 

5,127 

9,410 

50,473 

118,755 

10,468 

2,521 



15,856 
182.217 



198,073 



24.J90 


2.155 


1.518 


147 


9.280 


37,855 


6,798 



201 

4,210 

23,373 

143 

579 

10,329 

48,115 
9,686 

32.438 
1,048 

78,131 
864 

15,898 

39,274 



38,339 



506,166 



53 

110 

597 

1,085 

4,714 

7,588 

931 

103 



195 

951 

4,530 

8,325 

45,759 

111,167 

9,537 

2,418 



1,845 
13,336 



14,011 
168,881 



15,181 



182,892 



1,835 
113 
92 



967 

1,518 

763 

13 

314 

2,79? 

4 

11 

876 

1,588 
1,976 
1,756 
135 
5,108 
55 
1,096 
2,138 



22,555 

2.042 

1,426 

139 

8,313 

36,337 

6,035 

188 

3.896 

20,581 

139 

568 

9,453 

46.527 

7.710 

30.682 

913 

73.023 

809 

14,802 

37,136 



100.0 



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 
100.0 
100.0 
100.0 

100.0 
lOO.O 
100.0 
100.0 
100.0 
lOO.O 
100.0 
100.0 



7.0 



21.4 
10.3 
11.6 
11.5 

9.3 

6.4 
8.9 
4.1 



11.6 
7.3 



7.7 



7.5 
5.2 
6.1 
5.4 

!0.4 
4.0 
11.2 

6 5 

7.5 
11.9 
2.8 
1.9 
8.5 

3.3 
20.4 
5.4 
12.9 
6.5 
6.4 
6.9 
5.4 



93.0 



78.6 • 

89.7 

88.4 

88.5 

90.7' 

93.6- 

91.1' 

95.9^ 



88.4 '■ 
92.7' 



92.3 



92.5 
94.8 
93.9' 
94.6 

89.6 
96.0 



93.5 

92.5' 
88.1 " 
97.2- 
98.1 ■ 
91.5 

96.7 
79.6 
94.6 
87.1 
93.5 
93.6 
93.1 
94.6 



See footnotes at end of table. 



239 



Table 65. — Suburban Area* Arrests, Distribution by Ethnic Origin, 1983 — Continued 



Offense charged 



18 years of age and over 



Number of arrests 



Hispanic 



Non- 
Hispanic 



Percent dislribution 



Hispanic 



Non- 
Hispanic 



TOTAL.. 



Murder and nonnegligent manslaughter.. 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 



Violent crime' ... 
Property crime' 



Crime Index total* 



Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, possessing. 

Vandalism 

Weapons; carrying, possessing, etc 



Prostitution and commercialized vice 

Sex offenses (except forcible rape and prostitution) . 

Drug abuse violations 

Gambling 

Offenses against family and children 

Driving under the influence 



Liquor laws 
Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except trafRc) 

Suspicion 

Curfew and loitering law violations . 
Runaways 



2,429,101 



3,376 

6,264 

18,383 

58,473 

71,622 

223,751 

17,150 

3,353 



86,496 
315,876 



402,372 



232,460 



2,196,641 



516 

649 

1,881 

5,883 

7,359 

16,553 

2,177 

165 



2,860 
5,615 

16,502 
52,590 
64,263 
207,198 
14,973 
3,188 



8,929 
26,254 



77,567 
289,622 



35,183 



367,189 



124,726 


7,720 


117,006 


19,858 


1,051 


18,807 


88,388 


1,804 


86,584 


2,620 


98 


2,522 


27,565 


2,919 


24,646 


38,997 


1,703 


37,294 


32,991 


4,040 


28.951 


5,853 


352 


5,501 


17,588 


1,334 


16,254 


139,041 


19,360 


119,681 


4,359 


243 


4,116 


18,489 


620 


17,869 


616,450 


68,418 


548,032 


94,782 


3,973 


90,809 


245,065 


47,033 


198,032 


134,129 


7,024 


127,105 


3,792 


407 


3,385 


410,318 


28,948 


381,370 


1,718 


230 


1.488 









100.0 



100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



100.0 
100.0 



100.0 



100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



9.6 



15.3 
10.4 
10.2 
10.1 
10.3 

7.4 
12.7 

4.9 



10.3 
8.3 



8.7 



6.2 
5.3 
2.0 
3.7 

10.6 
4.4 

12.2 

6.0 
7.6 
13.9 
5.6 

3.4 
11.1 

42 
19.2 

5.2 
10.7 

7.1 
13.4 



'Includes suburban city and county law enforcement agencies within metropolitan areas. Excludes core cities. Suburban cities and counties are also included in other groups. 
"Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 
'Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 
■"Includes arson. 



240 



ible 66. — Arrests by State, Crime Index Offenses, 1983 



Total' 

alJ 
ciass«s 



Crime' 
Index 
total 



Violent' 
crime 



Properly* 



Forcible 
rape 



Robbery 



Aggravated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



LABAMA: 241 agencies; 
ipulation 3,559.000: 

Oder 18 

>tal all ages 



[<ASKA: 20 agencies; 
ipulation 322.000: 

;nder 18 

)tal all ages 



RIZONA: 90 agencies; 
ipulation 2,925.000: 

Rder 18 

3tal all ages 



RKANSAS: 189 agencies; 
ipulation 2,258,000: 

nder 18 

)tal all ages 



U.IFORN1A: 618 agencies; 
ipulation 24,878,000: 

nder ;8 

)ial all ages 



3LORADO: 197 agencies; 
ipulation 3,054,000: 

nder 18 

)tal all ages 



SNNECnCUT: 94 agencies; 
ipulation 2,415,000: 

nder 18 

jtal all ages 



ELAWARE: 51 agencies; 
ipulation 606,000: 

nder 18 

)tal all ages 



ISTRICr OF COLUMBU': 

agencies; 
ipulation 623,000 

nder 18 

otal all ages 



LORIDA: 629 agencies; 
ipulation 10,375.000: 

nder 18 

otal all ages 



EORGIA: 271 agencies; 
Dpulation 4,845,000: 

'nder 18 

otal all ages 



lAWAII: 5 agencies; 
opulalion 1,023,000: 

Inder 18 

otal all ages 



DAHO: 95 agencies; 
opulation 972,000: 

Inder 18 

'otal all ages 



LLINOIS: 441 agencies; 
opulation 9,814,000: 

Jnder 18 

"otal all ages 

See footnotes at end of table. 



14,906 
179,940 



3,946 
14,327 



33,427 
159,680 



11,637 
119,779 



211,615 
1,489,248 



37.867 
200,267 



24,695 
112,762 



4,094 
24.299 



3,577 
45,300 



71,110 
498,128 



15,998 
271,083 



10.763 
40,697 



10,666 
37,284 



116.119 
517,316 



6.361 
33.862 



1,729 
3,917 



14,885 
39,955 



4.529 
18.490 



89,917 
318.873 



17,128 
44,310 



9,821 
31,220 



1,753 
6,480 



2,295 
11,064 



37.279 
138,707 



6,934 
46.689 



4.471 
11,537 



4,729 
9,741 



42,078 
110,741 



538 
11,367 



54 
687 



1,094 
6,164 



264 
3,117 



11,879 
71,266 



1,076 
5,634 



867 
4,464 



191 
1,180 



684 
3,655 



4,732 
33,639 



768 
12.392 



269 
1,174 



250 
1,316 



4,388 
15,014 



5,823 
22,495 



1.675 
3.230 



13,791 
33,791 



4,265 
15,373 



78,038 
247,607 



16052 
38,676 



8,954 
26,756 



1,562 
5,300 



1,611 
7,409 



32,547 
105,068 



6.166 
34,297 



4,202 
10,363 



4,479 
8,425 



37,690 
95,727 



17 
329 



13 
179 



284 
3.473 



10 
160 



13 
100 



3 
176 



48 
!,027 



26 
568 



101 
1,075 



55 
420 



50 

325 



47 
333 



570 
4,300 



71 
414 



42 
280 



14 
103 



15 
150 



274 
1,863 



50 

873 



II 
110 



115 
1,007 



123 
1,095 



274 
1,186 



95 
724 



5,307 
23,580 



213 
1,084 



469 
1,544 



73 
290 



449 
1,612 



1,449 
7,821 



238 
2,612 



216 
588 



15 
115 



2,840 
6,889 



343 
9,523 



36 
498 



757 
4,474 



110 



5,718 
39,913 



782 
3,976 



343 
2,540 



103 
755 



217 
1,717 



2,961 
22,928 



454 
8,339 



41 

425 



228 
1.107 



1,332 
6,043 



1,543 
4,882 



197 

437 



3,439 
6,947 



1,143 
3,543 



27,645 
80,155 



2,955 
6,084 



2,465 
6,064 



413 
1,240 



514 
1,836 



10,435 
28,193 



1,748 
8,199 



847 
1,613 



1,131 
2.165 



8,516 
16,642 



4,091 
16,696 



1,369 
2,581 



9,525 
25,073 



2,932 
11,249 



42,202 
141,611 



11,995 
30,366 



5,858 
19,302 



1,065 
3,760 



656 
4,174 



20,318 
70,785 



4,089 
23,981 



2,994 
7,922 



3,092 
5.819 



27,002 
73,443 



147 
754 



100 
194 



609 

1,22! 



178 
494 



7.278 
23,753 



896 
1,898 



502 
1,089 



59 
255 



429 
1,330 



1,578 
5,372 



291 

1,842 



335 
783 



204 
358 



1.862 
4,983 



241 



Table 66. — Arrests by State, Crime Index Offenses, 1983 — Continued 



STATE 



Total' 

all 
classes 



Cnme' 
Index 
total 



Violent' 
crime 



Propeily* 
crime 



Forcible 
rape 



Robtjery 



Aggravated 
assault 



Burgla!7 



Larceny- 
theft 



Motor 
vehicle 
theft 



INDIANA: 140 agencies; 
population 3,811,000: 

Under 18 

Total all ages 

IOWA: 176 agencies; 
population 2.581,000: 

Under 18 

Total all ages 

KANSAS: 242 agencies; 
population 2,411,000: 

Under 18 

Total all ages 

KENTUCKY: 288 agencies; 
population 2,011,000: 

Under 18 

Total all ages 

LOUISIANA: 90 agencies; 
population 3,237,000: 

Under 18 

Total all ages 

MAINE: 131 agencies; 
population 1,142,000: 

Under 18 

Total all ages 

MARYLAND: 149 agencies; 
population 4,230,000: 

Under 18 

Total all ages 

MASSACHUSETTS: 246 
agencies; population 4,366,000: 

Under 18 

Total all ages 

MICHIGAN: 302 agencies; 
population 5,784,000: 

Under 18 

Total all ages 

MINNESOTA: 283 agencies; 
population 3,490,000; 

Under 18 

Total all ages 

MISSISSIPPI: 66 agencies; 
population 1,147,000: 

Under 18 

Total all ages 

MISSOURI: 166 agencies; 
population 3,269,000: 

Under 18 

Total all ages 

MONTANA: 41 agencies; 
population 471,000: 

Under 18 

Total all ages 

See footnotes at end of table. 



31,158 
144,012 



17,730 
78,294 



14,951 
75,417 



14,380 
161.340 



20,323 
163,230 



9,483 
40,785 



38.427 
206,779 



19,547 
125,231 



39.102 
258,690 



23,595 
85,166 



7,098 
74,606 



22,290 
180,521 



3,873 
19,647 



11,583 
31,661 



6,995 
18,539 



6,183 
17,944 



5,149 
21,172 



9,455 
41,233 



4,326 
9,919 



17,742 
53,379 



8,718 
32,813 



18,296 
64,219 



9,982 
22,033 



3,316 
14,028 



9.176 
42.570 



1,488 
4,583 



835 
3,997 



298 
1,712 



446 

2,532 



488 
5.173 



1,421 
10,907 



156 
1,044 



3.257 
12.376 



1.600 
9.214 



2.611 
15.858 



263 
1,305 



211 
2.614 



1.459 
11,006 



48 
467 



10,748 
27,664 



6,697 
16,827 



5,737 
15,412 



4,661 
15,999 



8,034 
30,326 



4,170 
8,875 



14,485 
41.003 



7.118 
23.599 



15.685 
48.361 



9.719 
20.728 



3,105 
11,414 



7,717 
31,564 



1,440 
4,116 



16 
255 



17 
207 



30 

420 



41 
346 



22 
141 



73 
1.034 



5 
152 



27 
323 



47 
255 



11 
106 



51 
223 



30 

372 



87 
618 



132 
819 



54 

578 



357 
2,019 



40 
164 



34 
215 



137 
956 



256 
1,264 



87 
396 



101 
530 



162 
1,101 



445 
2,342 



43 
191 



1,755 
4,831 



711 
2,534 



1,110 
4,791 



65 

252 



68 
560 



486 
2,475 



24 



516 
2,223 



198 
1,156 



289 
1,700 



279 
3,493 



859 
7,527 



96 
748 



1,329 
6,380 



813 
5,961 



1,071 
8,014 



153 

842 



104 
1,687 



809 
7,252 



34 
348 



2,216 
5,493 



1,446 
3,322 



1,412 
3,344 



1,538 
4,565 



1,962 
7,098 



1,399 
2,669 



4,633 
10,958 



2,611 
6,733 



5,002 
13,600 



1.662 
3.348 



978 
3.284 



2,354 
7,749 



200 
613 



7,961 
20,631 



4.634 
12.502 



3,885 
11,046 



2,788 
10,184 



5,739 
22,015 



2,477 
5,587 



8,393 
26,531 



3,348 
13,673 



9,436 
30,076 



7,303 
16,037 



1,982 
7,654 



4,976 
22,497 



1,130 
3,251 



493 
1,354 



510 
807 



346 
812 



246 
795 



259 

922 



232 
486 



1.180 
2.932 



1,040 
2,840 



997 
3,579 



646 
1.180 



121 
388 



311 
1,034 



103 

227 



242 



Table 66. — Arrests by State, Crime Index Offenses, 1983 — Continued 



Total' 

all 
classes 



Crime' 
Index 
total 



Property* 



Forcible 
rape 



Robbery 



Aggravated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



NEBRASKA: 1 10 agencies; 
population 1,437,000: 

Under 18 

Total all ages 



NEVADA: 22 agencies; 
population 794,000: 

Under 18 

Total all ages 



NEW HAMPSHIRE: 112 
agencies; population 956,000: 

Under 18 

Total all ages 



j NEW JERSEY: 517 agencies; 
I population 7,070,000: 

'Under 18 

Total all ages 



NEW MEXICO: 49 agencies; 
population 967,000: 

Under 18 

Total all ages 



NEW YORK: 616 agencies; 
population 14,566,000: 

Under 18 

Total all ages 



NORTH CAROLINA: 356 

agencies; population 5,779,000: 

Under 18 

Total all ages 



NORTH DAKOTA: 68 agencies; 
population 557,000: 

Under 18 

Total all ages 



OHIO: 333 agencies; 
population 8,034,000: 

Under 18 

Total all ages 



OKLAHOMA: 275 agencies; 
population 3,239,000; 

Under 18 

Total all ages 



OREGON: 199 agencies; 
population 2,622,000: 

Under 18 

Total all ages 



PENNSYLVANIA: 693 agencies; 
population 10,725,000; 

Under 18 

Total all ages 



RHODE ISLAND: 42 agencies; 
population 938,000: 

Under 18 

Total all ages 



9,513 
53,123 



8,899 
72,786 



6,121 
33.498 



95,287 
317,517 



10,830 
59,218 



192,494 
1,024,293 



25,792 
343,853 



4.1 
22,962 



61,016 
310,630 



17,701 
162,399 



29.103 
121,164 



108,265 
367,604 



9,521 
37,240 



3.682 
10,923 



3.109 
11.839 



2,030 
5,792 



28,921 
75,123 



5.383 
15.314 



45,688 
158,553 



11,633 
57,646 



1,640 
3.800 



21,153 
64,847 



7.323 
26,325 



13,518 
38,245 



29,391 
83,613 



3,240 
8,308 



99 
977 



311 
2,115 



91 
563 



5,440 
18,407 



312 
2,095 



11,612 
51,217 



1,076 
14,975 



37 
240 



1,866 
11,134 



502 
5,795 



976 
7,832 



4,406 
19,269 



388 
1,848 



3,583 
9,946 



2,798 
9,724 



1,939 
5,229 



23,481 
57,716 



5,071 
13,219 



34.076 
107,336 



10,557 
42,671 



1,603 
3,560 



19.287 
53,713 



6,821 
20,530 



12,542 
30,413 



24.985 
64.344 



2.852 
6,460 



4 
100 



41 
353 



189 
1,545 



26 
532 



17 
560 



16 
240 



23 
573 



20 
170 



30 
236 



16 
111 



289 
1,267 



19 

141 



353 
2,204 



83 
658 



274 
1,322 



43 
461 



40 
298 



256 
1,424 



35 
244 



136 
792 



37 
126 



2,967 
6,509 



76 
363 



7,727 
23,199 



248 
1,891 



807 
4,072 



170 
1,092 



213 
1,132 



2,655 
8,645 



105 
365 



42 
510 



141 
987 



36 
313 



2.143 
10,278 



216 
1,521 



3,343 
24,269 



719 
11,894 



22 
172 



768 
5,1 



273 
4,002 



720 
6,317 



1,472 
8,627 



264 
1,363 



543 
1,478 



829 
2,322 



626 
1,327 



6,432 
13,576 



826 
1,919 



9,804 
25,717 



3.605 
13.404 



194 
451 



4.953 
12.633 



1.753 
5,502 



3,190 
6,059 



7,046 
16,866 



1,038 
2,088 



2.846 
7.982 



1,852 
7,019 



1,186 
3.636 



15,580 
41,057 



4,042 
10,819 



21,813 
71,065 



6,328 
26,966 



1,258 
2,690 



13,030 
37,959 



4,145 
12,954 



8,403 
22,335 



15,861 

42,438 



1,675 
4,038 



153 
382 



113 

339 



93 
194 



1,154 
2.404 



183 
431 



2,068 
9,567 



541 
1,833 



132 
255 



1.026 
2.412 



780 
1,786 



787 
1,717 



1,727 
4135 



90 
213 



See footnotes at end of table. 



243 



Table 66. — Arrests by State, Crime Index Offenses, 1983 — Continued 



Total' 

all 
classes 



Crime^ 
Index 
total 



Violent' 
crime 



Property^ 
crime 



Forcible 
rape 



Robbery 



Aggravated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



SOUTH CAROLINA: 190 

agencies; population 3,137,000: 

Under 18 

Total all ages 



SOUTH DAKOTA: 44 agencies; 
population 464,000: 

UntJer 18 

Total all ages 



TENNESSEE: 185 agencies; 
population 3.196,000: 

Under 18 

Total all ages 



TEXAS: 580 agencies; 
population 14,608,000: 

Under 18 

Total all ages 



UTAH: 97 agencies; 
population 1,534,000: 

Under 18 

Total all ages 



VERMONT: 6 agencies; 
population 235,000: 

Under 18 

Total all ages 



VIRGINIA: 393 agencies; 
population 5,490,000: 

Under 18 

Total all ages 



WASHINGTON: 128 agencies; 
population 2,576,000: 

Under 18 

Total all ages 



WEST VIRGINIA: 266 agencies; 
population 1,529,000; 

Under 18 

Total all ages 



WISCONSIN: 214 agencies; 
population 4,119,000: 

Under 18 

Total all ages 



WYOMING: 69 agencies; 
population 483,000: 

Under 18 

Total all ages 



11,652 
140,397 



4,391 
20,401 



17,948 
187,471 



109,020 
865,411 



25,018 
78,708 



1,209 
6,277 



32,374 
307,158 



31,050 
133.491 



4,952 
58,377 



72,313 
214,192 



4,012 
25,311 



6,162 
26,541 



1,663 

3,752 



7,081 
34,330 



42,275 
157,150 



10,180 
20,907 



387 
1.645 



11.845 

47.242 



15.283 
36.210 



2.136 
10.094 



23.035 
48.863 



1.187 
3.379 



457 
5,325 



33 
324 



434 
9,194 



3,055 
23,903 



504 
1,837 



21 
110 



935 
7,492 



484 
3,231 



140 
1,515 



1.319 
4,525 



37 
489 



5,705 
21,216 



1,630 
3,428 



6,647 
25,136 



39,220 
133,247 



9,676 
19,070 



366 

1,535 



10,910 
39,750 



14,799 
32,979 



1,996 
8,579 



21,716 
44,338 



1,150 
2,890 



10 
332 



20 
302 



141 

1,923 



27 
431 



75 



98 



13 

143 



79 
524 



82 
474 



227 
2.014 



20 
143 



26 



74 
740 



59 

472 



13 
136 



55 
381 



164 
1,037 



158 
1,779 



1,145 
6,959 



113 
395 



455 
2,148 



132 
601 



47 
315 



734 
1,676 



204 
3,432 



22 
230 



174 
6,639 



1,542 
13,007 



365 
1,256 



379 
4,173 



285 
2,083 



72 
966 



517 
2,325 



27 
367 



1,817 
5,727 



288 
759 



1,668 
5,880 



11,405 
30,830 



1,690 
2,916 



83 
408 



2,994 
8,950 



3,050 
5,863 



735 
2,414 



4,019 
7,280 



200 
506 



3,597 
14,548 



1,265 
2,529 



4,574 
17,693 



24,957 
92,591 



7,263 
15,000 



255 
988 



7,157 
28.469 



11.026 
25.630 



1,026 
5,459 



16,172 
34,543 



884 

2,212 



222 
676 



50 
104 



360 
1,269 



2,621 
9,028 



629 
1,028 



21 
83 



604 

1,864 



591, 
1,214 



200 

575 



1.333 
2,184 



57 
139 



'Does not include traffic arrests. 

^Includes arson. 

'Violent crime includes offenses of murder, forcible rape, robbery, and aggravated assault. 

""Property crime includes offenses of burglary, larceny-theft, motor vehicle theft and arson. 

'Includes arrests reported by the U.S. Park Police for the District of Columbia. 



244 



rable 67. — Police Disposition of Juvenile Offenders Taken into Custody, 1983 

1983 estimated population] 



Population group 


Total' 


Handled 

wilhin 

department 

and released 


Referred to 

juvenile 

court 

jurisdiction 


Referred to 
welfare 
agency 


Referred to 

other police 

agency 


Referred to 
criminal or 
adult court 


rOTAL ALL AGENaES: 8,3«0 agencies; 
population 162,976,000: 
Number 


1,150,257 
100.0 


377,775 
32.8 


661,761 

57.5 


35,347 
3.1 


19,809 
1.7 


55,565 
4.8 


Peicent' 


rOTAL CITIES: 5,690 cities; 
population 112,807,000: 
Number 


979,967 
100.0 


325,560 
33J 


555,934 
56.7 


32,869 
3.4 


17,552 
1.8 


48,052 
4.9 


Percent 
















n cities, 250,000 and over; population 30,436,000: 

Number 


272,974 
1000 


74,525 
27 3 


165,774 
607 


20,230 
74 


9,626 
3 5 


2,819 
1 




Group II 














07 cities, 100,000 to 249.999; population 15.545,000: 

Number 


123,074 
100.0 


41,290 

33.5 


76,771 
62.4 


2,502 
2.0 


757 
.6 


1.754 
1.4 


Percent 


Group III 














28 cities, 50,000 to 99,999; population 15,565,000: 

Number '. 


126,252 
100.0 


44,008 
34.9 


69,942 
55.4 


3,359 
2.7 


1,899 
1.5 


7,044 
5.6 




Group IV 




10 cities, 25,000 to 49,999; population 17,682,000: 

Number 

Percent 


161,534 
100.0 


61,233 
37.9 


85,783 
53.1 


3,504 
2.2 


1.940 
1.2 


9.074 
5 6 


Group V 




,224 cities, 10,000 to 24,999; population 19,230,000: 

Percent 


173,406 
100.0 


63.589 
36.7 


92,757 
53.5 


2,007 
1.2 


1,851 
1.1 


13,202 
7.6 


Group VI 














1,574 cities under 10,000; population 14,350,000: 


122,727 
100.0 


40,915 
33.3 


64,907 
52.9 


1,267 
1.0 


1,479 
1.2 


14.159 


Percent 


11 5 


Suburban Counties 




!73 agencies; population 31,243,000: 


126.936 
100.0 


42,886 
33.8 


76,963 
60.6 


1,762 
1.4 


1,048 

.8 


4,277 
3.4 


Rural Counties 














1,797 agencies; population 18,926,000: 


43,354 
100.0 


9,329 
21.5 


28,864 
66.6 


716 
1.7 


1,209 
2.8 


3,236 


Percent ... 


7.5 


Suburban Area' 




4,082 agencies; population 74,492,000: 


495,064 
100.0 


197,044 
39.8 


252,279 
51.0 


7,916 
1.6 


5,295 
1.1 


32 530 




6.6 







'Includes all ofTenses except (raffic and neglect cases. 

^Because of rounding, the percentages may not add to total. 

^Includes suburban city and county law enforcement agencies within metropolitan areas. Excludes core cities. Suburban cities and counties are included in other groups. 



245 




ICaiu EnfDrr^m^nt (Hah^ of iEtl|trB 

Aa a ICam iEnforrf mf nt Wiixnv, my funJameniJJui^ h to 

serve ntannina] to safequara tivei ana propertu; to protect tne innocent aaainit 
aeception, tne weak aaainst oppreiiton or intimidation, ana tne peaceful 
aqainst violence or diioraerj and to respect the (constitutional riarits of alt 
men to lioertu, equalilu and justice. 

It Ultlt 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 
oe constantlu mindful of tne welfare of others. ^J4onest in thought and deed 
in both mu personal and of ficial life, .jf will he exemplaru in ohe^in^ the laws 
of the land and the regulations of mu department. l/Uhatever .Jf See or hear of 
a confidential nature or that is confided to me in mu off iciai capacity will be 
kept ever secret unless revelation is necessaru in the performance of m^ dut^. 

It Ultll never act officiousiu or permit personal feelings, prejudices, animos- 
ities or friendships to influence mu decisions. lAJith no compromise for crime 
and with relentless prosecution of criminals, .jf will enforce the law courteously 
and appropriateiu without fear or favor, malice or ill will, never emplo^in^ 
unnecessaru force or violence and never accepting gratuities. 

11 r^rO^tttSP the badge of mu office as a symbol of public faith, and 
.Jr accept it as a puolic trust to be held so ton^ as jf am true to the ethics of 
the police service. ,y wilt constantlu strive to achieve these objectives and ideats, 
dedicating mifSelf before \jod to mu chosen profession . . . taw enforcement. 



246 



SECTION V 
LAW ENFORCEMENT PERSONNEL 



Law Enforcement Employees 

As of October 31, 1983, there was an average of 2 full- 
time law enforcement officers for every 1,000 inhabitants in 
the United States. Representing a population of 222 million, 
11,820 city, county, and state police agencies reported 
employing a total of 449,370 officers. Including full-time 
civihans, the total law enforcement employee force was 
585,950 for a rate of 2.6 per 1,000 inhabitants. 

Because of varying demographic and other jurisdictional 
characteristics, the requirements for law enforcement 
service differ greatly from one locale to another. For 
example, the needs of a community having a highly mobile 
or seasonal population 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 1983 ranged 
from 2 per 1 ,000 inhabitants in those with populations from 
25,000 to 49,999 to 3.3 for those with populations of 
250,000 or more. The average rate for counties was 2.8, 
while in the suburban areas, the average was 2.5 full-time 
law enforcement employees per 1,000 population. 



Geographically, the highest law enforcement employee 
rate was evident in the South Atlantic Division, with 3. The 
fewest number of employees per 1,000 population was 
reported by the West North Central Division, with an 
average rate of 2.2. 

Sworn Personnel 

Rates based solely on sworn law enforcement personnel 
(excluding civilians) showed the national average for all 
cities was 2 officers per 1,000 inhabitants. By population 
grouping, the lowest average rate (1.6) was for cities with 
populations of 25,000 to 49,999; cities 250,000 or more in 
population recorded the highest rate, 2.6. Suburban law 
enforcement agencies averaged 1.9 officers per 1,000 
population. 

Nationally, as well as in suburban areas and rural 
counties, 94 percent of all sworn employees were males. In 
cities, males comprised 95 percent of all sworn personnel. 

Civilian Employees 

Civilians represented 20 percent of all law enforcement 
personnel in cities during 1983. In suburban areas, they 
accounted for 24 percent; and in the rural counties, they 
comprised 30 percent. Nationally, civilians represented 23 
percent of the total law enforcement strength. 

Law Enforcement Officers Killed and Assaulted 

Fewer law enforcement officers were feloniously killed in 
the line of duty during 1983 than in any year of the past 
decade. Eighty officers were slain in 1983, as compared to 
92 the previous year. 

According to nearly 10,000 city, county, and state law 
enforcement agencies nationwide, assaults on officers 
numbered 62,324 in 1983. During the year, assaults 
averaged 16.5 per 100 officers, while 5.5 of every 100 
officers suffered personal injuries as a result of the assaults. 

Assaults on Federal officers totaled 580 for the year. 
Seven officers were killed in the line of duty and 78 suffered 
assault-related injuries. 

Extensive data on line-of-duty killings and assaults can be 
found in the Uniform Crime Reporting publication. Law 
Enforcement Officers Killed and Assaulted. 



247 



Table 68. — Full-time Law Enforcement Employees', Number and Rate per X,000 Inhabitants, Geographic Division and Population Group, 
October 31, 1983 

[1983 estimated population] 





Total 


Population Group 




Group I 


Group 11 


Group III 


Group IV 


Group V 


Group VI 




(9,020 cities; 


(57 cities. 


(119 cities. 


(291 cities. 


(625 cities. 


(1,606 cities. 


(6,322 cities 


Geographic division 


population 


250,000 


100,000 to 


50,000 to 


25,000 to 


10.000 to 


under 




149,596,000) 


and over; 


249,999; 


99,999; 


49,999; 


24,999; 


10,000; 






population 


population 


population 


population 


population 


population 






41,859,000) 


17,492,000) 


19,890,000) 


21,505,000) 


25,116,000) 


23,734,000) 


TOTAL: 9,020 cities; population 149,596,000: 


















380,751 


138,195 


40,755 


41,721 


43,522 


51,855 


64,703 


Average number of employees per 1,000 inhabitants 


2.5 


3.3 


2.3 


2.1 


2.0 


2.1 


2.7 


New England: 639 cities; population 11,115,000: 
















Number of police employees 


26,141 


2,163 


3,453 


6,091 


4,809 


5,728 


3,897 


Average number of employees per 1.000 inhabitants 


2.4 


3.8 


3.2 


2.3 


2.1 


2.0 


2.4 


Middle Atlantic: 1,759 cities; populaHon 29,106,000: 
















Number of police employees 


82,063 


41,075 


4,492 


7,210 


8,067 


10,793 


10,426 


Average number of employees per 1,000 inhabitants 


2.8 


4.1 


2.9 


2.3 


2.2 


1.9 


2.0 


East North Central: 1,693 cities; population 28,367,000: 


















72,203 


29,263 


5,093 


7,810 


8,481 


10,591 


10,965 


Average number of employees per 1,000 inhabitants 


2.5 


4.1 


2.2 


1.9 


1.8 


1.9 


2.5 


West North Central: 702 cities; population 10,210,000: 


















22,412 


6,574 


2,262 


1,767 


2,846 


4,071 


4,892 


Average number of employees per 1.000 inhabitants 


2.2 


3.0 


2.0 


1.7 


1.6 


2.0 


2.3 


South Atlantic: 1,448 cities; population 16,269,000: 
















Number of police employees 


49,416 


11,773 


8,003 


4,635 


5,769 


7,169 


12,067 


Average number of employees per 1.000 inhabitants 


3.0 


3.2 


2.7 


2.9 


2.5 


2.8 


3.7 


East South Central: 706 cities; population 6,921,000: 


















17,440 


2,861 


3,032 


679 


2,302 


3.030 


5.536 


Average number of employees per 1,000 inhabitants 


2.5 


2.7 


2.3 


2.3 


2.3 


2.2 


2.9 


West South Central: 891 cities; population 17,251,000: 
















Number of police employees 


39,848 


16,029 


4,207 


4,403 


2,929 


4,796 


7,484 


Average number of employees per 1,000 inhabitants 


2.3 


2.4 


2.0 


2.1 


1.9 


2.0 


3.0 


Mountain: 521 cities; population 8,267,000: 
















Number of police employees 


20,548 


6,896 


3,293 


1,871 


2,429 


1,911 


4,148 


Average number of employees per 1,000 inhabitants 


2.5 


2.7 


2.3 


1.7 


2.1 


2.2 


3.3 


Pacific: 661 cities; population 22,088,000: 


















50,680 


21,561 


6,920 


7,255 


5,890 


3,766 


5,288 


Average number of employees per 1.000 inhabitants 


2.3 


2.6 


1.9 


1.9 


1.9 


2.0 


3.9 



Suburban and County 



Suburban^: 5,186 agencies; population 86,992,000: 

Number of police employees 

Average number of employees per 1,000 inhabitants. 




County: 2,800 agencies; population 72,737,000: 

Number of police employees 

Average number of employees per 1.000 inhabitants.. 



205,199 
2.8 



'Includes civilians. 

'Includes suburban city and county law enforcement agencies within metropohtan areas. Excludes core cities. Suburban cities and counties are also included in other groups. 



248 



able 69. — Full-time Law Enforcement Officers, Number and Rate per 1,000 Inhabitants, Geographic Division and Population Group, 
Ictober 31, 1983 

983 estimated population] 



Geographic division 



Total 

(9,U20 cities; 

population 

149,596,000) 



Population Group 



Group I 

(57 cities. 
250,000 
and over; 
population 
41,859.000) 



Group II 
(119 cities, 
100,000 to 
249,999; 
population 
17,492,000) 



Group III 
(291 cities. 
50,000 to 

99.999; 
population 
19,890,000) 



Group IV 
(625 cities. 
25,000 to 
49.999; 
population 
21,505,000) 



Group V 

(1,606 cities, 

10,000 to 

24.999; 

population 

25.116,000) 



Group VI 
(6.322 cities 
under 
10,000; 
population 
23.734,000) 



OTAL: 9,020 cities; population 149,596,000: 

Number of police officers 

Average number of officers per 1,000 inhabitants ... 

ew England: 639 cities; population 11,115,000: 

Number of police officers 

Average number of officers per 1.000 inhabitants ... 
liddle Atlantic: 1,759 cities; population 29,106,000: 

Number of police officers 

Average number of officers per 1,000 inhabitants ... 
Bst North Central: 1,693 cities; population 28,367,000: 

Number of police officers 

Average number of officers per 1,000 inhabitants .. 
'est North Central: 702 cities; population 10,210,000: 

Number of police officers 

Average number of officers per 1,000 inhabitants ... 
>uth Atlantic: 1,448 cities; population 16,269,000: 

Number of police officers 

Average number of officers per 1,000 inhabitants ... 
ist South Central: 706 cities; population 6,921,000: 

Number of police officers 

Average number of officers per 1,000 inhabitants . . 
est South Central: 891 cities; population 17,251,000: 

Number of police officers 

Average number of officers per 1,000 inhabitants ... 
ountain: 521 cities; population 8,267,000: 

Number of police officers 

Average number of officers per 1,(X)0 inhabitants 
icific: 661 cities; population 22,088,000: 

Number of police officers 

Average number of ofTicers per 1,(X)0 inhabitants. . 



304,012 
2.0 



109,441 
2.6 



32,147 
1.8 



33,295 

1.7 



35,332 
1.6 



22,671 
2.0 

69.301 
2.4 

58,826 
2.1 

17,667 

1.7 

39,012 
2.4 

13,799 
2.0 

30.637 
1. 

15.047 
1. 

37,052 
1.7 



1.846 

3.3 

33,952 
3.4 

23,935 
3.3 

5,033 

2.3 

9,075 
2.5 

2.279 
2.2 

12,153 
1.9 

5,042 
2.0 

16,126 
2.0 



2,946 
2.7 

3,878 
2.5 

4,261 
1.8 

1,694 
1.5 

6.317 

2.2 

2.315 
1.8 

3,363 
1.6 

2,406 
1.7 

4.967 
1.3 



5.345 
2.0 

6.157 
1.9 

6,331 
1.6 

1,446 
1.4 

3,498 

2.2 

543 
1.9 

3,470 
1.6 

1.353 
1.2 

5,152 
1.3 



4.298 
1.8 

6.933 
1.9 

6,920 
1.5 

2,285 
1.3 

4,655 
2.0 

1,827 
1.8 

2,288 
1.5 

1,805 
1.6 

4,321 
1.4 



42,412 
1.7 



5.025 
1.7 

9.383 
1.7 

8,561 
1.5 

3,210 
1.6 

5,692 

2.3 

2,468 
1.8 

3,871 
1.6 

1,394 
1.6 

2,808 
1.5 



51,385 
2.2 



3,211 
2.0 

8,998 
1.7 

8,818 
2.0 

3,999 
1.9 

9.775 
3.0 

4,367 
2.3 

5,492 
2.2 

3,047 
2.4 

3,678 
2.7 



Suburban and County 



jburban': 5,186 agencies; population 86,992,000: 

Number of police officers 

Average number of officers per 1,000 inhabitants 



162,309 
1.9 



County: 2,800 agencies; population 72,737,000: 

Number of police officers 

Average number of officers per 1,000 inhabitants. 



145,358 
2.0 



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



249 



Table 70. — Full-time Law Enforcement Employees, October 31, 1983 










[Range in rate per 1,000 inhabitants] 




















Total cities 

(9,020 cities; 

population 

149,596,000) 


Group I (57 


Group II (119 


Group III (291 


Group IV (625 


Group V (1,606 


Group VI 


Rate 




cities, 250,000 


cities, 100,000 


cities, 50,000 


cities, 25,000 


cities, 10,000 


(6,322 cities 




and over; 


to 249,999; 


to 99,999; 


to 49,999; 


to 24,999; 


under 10,000; 


range 




population 


population 


population 


population 


population 


population 






41,859,000) 


17,492,000) 


19,890,000) 


21,505,000) 


25,116,000) 


23,734,000) 


.1-.5 


Number 


201 






1 


3 


14 


183 




Percent 
Number 


2.2 
695 






.3 

4 


.5 
22 


.9 
64 


2.5 

6o; 


.6-1.0 








Percent 


7.7 






1.4 


3.5 


4.0 


9.< 


1.1-1.5 


Number 


1,350 




6 


40 


109 


236 


95! 




Percent 


15.0 




5.0 


13.7 


17.4 


14.7 


15.; 


1.6-2.0 


Number 


2,060 


7 


42 


109 


231 


516 


1,15: 




Percent 


22.8 


12.3 


35.3 


37.5 


37.0 


32.1 


18.; 


2.1-2.5 


Number 


1,843 


16 


40 


88 


163 


465 


1,07 




Percent 


20.4 


28.1 


33.6 


30.2 


26.1 


29.0 


16.' 


2.6-3.0 


Number 


1,052 


15 


17 


31 


61 


181 


74 




Percent 


11.7 


26.3 


14.3 


10.7 


9.8 


11.3 


11.; 


3.1-3.5 


Number 


648 


6 


6 


11 


23 


80 


52: 




Percent 


7.2 


10.5 


5.0 


3.8 


3.7 


5.0 


8. 


3.6^.0 


Number 


393 


8 


4 


3 


8 


33 


33 




Percent 


44 


140 


3.4 


1.0 


1.3 


2.1 


5. 


4.1^.5 


Number 


207 


2 


4 


3 


1 


7 


19 




Percent 


2.3 


3.5 


3.4 


1.0 


.2 


.4 


3. 


4.6-5.0 


Number 


144 


2 




1 




8 


13 




1 ^ Ulll Wl 

Percent 


1.6 


3.5 




.3 




.5 


2. 


Over 5.0 


Miimhpr 


424 


1 






3 


2 


41 




1 ^ UllK^Vl 

Percent 


4.7 


1.8 






.5 


.1 


6. 


Total' 




100.0 


100.0 


100.0 


100.0 


100.0 


100.0 


100 


'Because of four 


ding, percentages m 


ay not add to totals 















250 



i'able 71. — Full-time Law Enforcement Officers, October 31, 1983 

Range in rate per 1,000 inhabitants] 



Rate 
range 




Total cities 

(9,020 cities; 

population 

149,596,000) 


Group I (57 

cities, 250,000 

and over; 

population 

41,859,000) 


Group II (119 

cities, 100,000 

to 249,999; 

population 

17.492,000) 


Group III (291 

cities. 50,000 

to 99.999; 

population 

19,890,000) 


Group IV (625 

cities, 25,000 

to 49,999; 

population 

21,505,000) 


Group V (1,606 

cities, 10,000 

to 24,999; 

population 

25,116,000) 


Group VI 

(6,322 cities 

under 10,000; 

population 

23.734.000) 


.1-.5 
.6-1.0 
1.1-1.5 
1.6-2.0 
2.1-2.5 
2.6-3.0 
3.1-3.5 
3.6-4.0 
4.1^.5 
4.6-5.0 
Over 5.0 
Total' 


Number 
Percent 

Number 
Percent 

Number 
Percent 

Number 
Percent 

Number 
Percent 

Number 
Percent 

Number 
Percent 

Number 
Percent 

Number 
Percent 

Number 
Percent 

Number 
Percent 


227 
2.5 

946 
10.5 

2,405 
26.7 

2,444 
27.1 

1.323 
14.7 

678 

7.5 

364 
4.0 

194 

2.2 

111 
1.2 

69 

.8 

254 
2.8 

100.0 






1 
.3 

19 
6.5 

118 
40.5 

94 
32.3 

45 
15.5 

11 

3.8 

2 

.7 

1 
.3 


5 
.8 

52 
8.3 

252 
40.3 

202 
32.3 

83 
13.3 

22 
3.5 

6 

1.0 


22 
1.4 

132 
8.2 

519 
32.3 

579 
36.1 

242 
15.1 

79 
4.9 

18 
1.1 

10 
.6 

4 
.2 


199 
3.1 

739 
11.7 

1.463 
23.1 

1.514 
23.9 

916 

14.5 

553 
8.7 

329 
5.2 

180 








4 

3.4 

42 

35.3 

40 
33.6 

21 
17.6 

8 
6.7 

3 

2.5 

1 
.8 




11 
19.3 

15 
26.3 

16 
28.1 

5 
8.8 

6 
10.5 

2 
3.5 

2 
3.5 




2 8 


1 
.2 


104 






1 6 






69 












1 1 








1 
.2 

100.0 


1 
.1 

100.0 


252 








40 


100.0 


100.0 


100.0 


100.0 


'Because of roun 


ding, percentages ms 


y not add to totals. 















251 



Table 72. — Law Enforcement Employees, Percent Male and Female, October 31, 1983 





Tota 


police employees 


Police officers (sworn) 


Civilian employees 


Population group 


Total 


Percent 
male 


Percent 
female 


Total 


Percent 
male 


Percent 
female 


Total 


Percent 
male 


Percent 

female 


TOTAL AGENaES: 11,820 agencies; 

noDuIfltion 222 333 000: 


585.950 


80.7 


19.3 


449,370 


94.1 


5.9 


136,580 


36.6 


63.4 


TOTAL CITIES: 9,020 cities; 

population 149,596,000: 


380,751 


82.2 


17.8 


304,012 


94.9 


5.1 


76,739 


31.8 


68.2 


GROUP I 




















57 cities, 250,000 and over; 


138,195 


81.2 


18.8 


109.441 


93.1 


6.9 


28,754 


35.8 


64.2 


6 cities, 1.000,000 and over; 

nnniilatinn 17 878 000' 


71.970 


8L9 


18.1 


57.320 


93.3 


6.7 


14,650 


37.3 


62.7 


16 cities. 500.000 to 999.999; 
nnnulation 11246 000- 


31,850 


81.1 


18.9 


25.348 


92.9 


7.1 


6,502 


35.5 


64.5 


35 cities, 250,000 to 499,999; 


34,375 


79.9 


20.1 


26.773 


93.1 


6.9 


7.602 


33.3 


66.7 


GROUP II 




















119 cities, 100.000 to 249,999; 
nnnulation 17 492 000- 


40.755 


80.3 


19.7 


32,147 


94.4 


5.6 


8,608 


27.6 


72.4 


GROUP III 




















291 cities, 50.000 to 99,999; 


41,721 


82.4 


17.6 


33.295 


96.2 


3.8 


8,426 


28.2 


71.8 


GROUP IV 




















625 cities, 25,000 to 49.999; 
population 21,505,000: 


43.522 


83.1 


16.9 


35,332 


96.5 


3.5 


8,190 


25.6 


74.4 


GROUP V 




















1,606 cities, 10.000 to 24.999; 
nnnulation 25 116000- 


51.855 


83.9 


16.1 


42,412 


96.5 


3.5 


9,443 


27.2 


72.8 


GROUP VI 




















6,322 cities under 10,000; 


64.703 


83.2 


16.8 


51.385 


95.7 


4.3 


13,318 


35.0 


65.0 


SUBURBAN COUNTIES 




















592 agencies; population 41,707,000: 


111.818 


77.4 


22.6 


80,105 


91.1 


8.9 


31,713 


42.7 


57.3 


RURAL COUNTIES 




















2,208 agencies; population 31,030,000: 


93.381 


78.8 


21.2 


65.253 


94.4 


5.6 


28,128 


42.7 


57.3 


SUBURBAN AREA' 




















5.186 agencies; population 86,992,000: 


213.543 


80.4 


19.6 


162,309 


93.8 


6.2 


51,234 


38.0 


62.0 



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

Table 73. — Civilian Law Enforcement Employees, Percent of Total, Population Group, October 31, 1983 



Population group 



Percent 

civilian 

employees 



Population group 



Percent 

civilian 

employees 



TOTAL AGENCIES: 11,820 agencies; 
population 222,333,000: 



GROUP IV 



TOTAL CITIES: 9,020 cities; 
population 149,596,000: 



23.3 



20.2 



625 cities, 25.000 to 49,999; 
population 21,505.000: 



GROUP V 



GROUP I 

57 cities, 250,000 and over; 

population 41.859.000: 

6 cities. 1,000,000 and over; 

population 17,878,000: 

16 cities. 500.000 to 999,999; 

population 11,246.000; 

35 cities, 250.000 to 499,999; 

population 12,735.000: 

GROUP II 

119 cities, 100,000 to 249.999; 

population 17,492,000: 

GROUP III 

291 cities, 50,000 to 99,999; 

population 19,890,000: 



1,606 cities, 10.000 to 24.999; 
population 25.116,000: 



20.8 
20.4 
20.4 
22.1 



GROUP VI 



6,322 cities under 10,000; 
population 23,734,000: 



SUBURBAN COUNTIES 

592 agencies; 
population 41,707,000: 



RURAL COUNTIES 

2,208 agencies; 
population 31,030,000: 



20.2 



SUBURBAN AREA' 



5.186 agencies; 
population 86,992.000: 



18.8 



18.2 



20.6 



28.4 



30.1 



24.0 



'Includes suburban city and county law enforcement agencies within metropoUtan areas. Excludes core cities. Suburban cities and counties are also included in other groups. 



252 



able 74. — FuU-time State Law Enforcement Employees, October 31, 1983 



State 



Number of law enforcement employees 



Total 



OfTicers 



Male 



Female 



Civilians 



Male 



Female 



State 



Number of law enforcement employees 



Total 



Officers 



Male 



Female 



Civilians 



Male 



Female 



Jtal 



labama Department of 

Public Safety 

laska State Police 

rizona Department of 

Public Safety 

^kansas State Police 

Iilifomia Highway 
Patrol 



)lorado State Patrol 

mnecticut State Police 

;laware State Police 

orida Highway Patrol , 
K>rgia Department of 
Public Safety 



!aho State Police 

inois State PoUce 

diana State Police 

»va Department of 

Public Safety 

msas Highway Patrol . 

rntucky State Pohce . 

uisiana State Police.. . 

line State Police 

iryland State Police.... 
I issachusetts State 
hPoUce 



chigan State Police 
nnesota State Pohce.... 
ssissippi Highway 
Safety Patrol 
ssouri State Highway 

Patrol 

)ntana Highway 
Patrol 



68,357 



1,131 

857 

1,479 
615 

7,480 

695 
1,322 

586 
1,884 

1,548 

180 
1,894 
1,610 

780 
558 

1,636 

1,193 

449 

2,092 

1,299 

3,158 
604 

921 

1,665 

237 



46,436 



677 
412 

875 

452 

5,099 

485 

881 

429 

1,323 

805 

145 
1.340 
1,036 

537 
418 

956 

829 

313 

1,467 

963 

2,086 
490 

564 

808 

197 



1,113 



26 
13 



209 



44 

52 
6 

3 

3 

3 



9,261 



1,021 



10 


84 


30 


204 


15 


64 


67 


204 



383 



1 


10 


48 


233 


13 


272 


13 


104 


3 


72 


12 


360 


9 


151 


3 


65 


56 


215 



184 

583 
74 

119 

561 

10 



1 1,547 



170 


278 


140 


293 


296 


282 


65 


85 



1,151 

116 

207 

78 

290 

349 

24 
273 
289 

126 
65 

308 

204 

68 

354 

108 

437 
34 

235 

293 

27 



Nebraska State Patrol 
Nevada Highway Patrol .. 
New Hampshire State 

Police 

New Jersey State Police 
New Mexico State Police 

New York State Police 
North CaroUna State 

Highway Patrol 

North Dakota Highway 

Patrol 

Ohio State Highway 

Patrol 

Oklahoma Department of 

Public Safety 

Oregon State Police 

Pennsylvania State 

Police 

Rhode Island State 

Police 

South CaroUna Highway 

Patrol 

South Dakota Motor 

Patrol 



Tennessee Department 
of Safety 

Texas Department of 
Public Safety 

Utah Highway Patrol 

Vermont Department of 
Public Safety 

Virginia State Pohce 



Washington State Patrol 
West Virginia State 

Police 

Wisconsin State Patrol. 
Wyoming Highway 

Patrol 



507 
259 

278 

3,252 

627 

4,090 

1,449 

200 

1,963 

1,323 

981 

4.829 

192 

879 

216 

1,133 

4.717 
442 

388 
1,846 

1,250 

850 
618 

195 



381 
180 

203 

2,271 

362 

3,416 

1,134 
118 

1,168 
787 
830 

3,762 
157 
779 
147 

709 

2,622 
351 

261 
1,322 

761 

536 
440 

152 



4 
47 



106 
3 
1 
22 
15 
23 
67 



15 



36 
12 



61 
16 

31 

430 

85 

199 

200 

45 
342 
251 

19 
468 

28 

40 

35 

79 

584 
19 

71 
148 

266 

100 
92 



60 
60 

40 
504 
172 

369 

112 

36 

431 

270 

109 

532 

6 

52 

34 

330 

1,475 
60 

51 

358 

215 

205 

57 

35 



NOTE; The responsibilities of the various stale police, highway patrol, and departments of public safety agencies range from full law enforcement duties to traffic patrol only. 
Any comparison of these data from state to state must take these factors and those on page v into consideration. 



253 



Table 75. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1983 



City 



ALABAMA 



Abbeville 

Adamsville 

Addison 

Alabaster 

Albertville 

Alexander City ... 
Aliceville 

Andalusia 

Anniston 

Arab 

Ardmore 

Ariton 

Ashford 

Ashland 

Athens 

Atmore 

Attalla 

Auburn 

Bay Minette 

Bayou La Batre.. 

Bear Creek 

Bessemer 

Birmingham 

Blountsville 

Boaz 

Brantley 

Brent 

Brewton 

Bridgeport 

Brighton 

Brilliant 

Brundidge 

Butler 

Camden 

Camp Hill 

Carbon Hill 

Cedar Bluff 

Centre 

Centreville 

Chatom 

Cherokee 

Chickasaw 

Childersburg 

Citronelle 

Clanton 

Clayhatchee 

Clayton 

Cleveland 

Columbiana 

Coosada 

Cordova 

Cottonwood 

Courtland 

Cullman 

Dadeville 

Daleville 

Daphne 

Decatur 

Demopolis 

Dora 

Dothan 

East Brewton.... 

Eclectic 

Elba 

Enterprise 

Eufaula 

Eutaw 

Evergreen 

Fairfield 



Total 

poUce 

employees 



Total 
officers 



11 

7 

4 

18 

29 

35 

8 

25 

99 

17 

9 

2 

9 

9 

33 

25 

22 

65 

16 

17 

2 

70 

796 

6 

18 



22 

8 

7 

2 

11 

4 

10 

5 

8 

7 

12 

4 

7 

4 

16 

16 

7 

17 

2 

5 

2 

6 

3 

7 

3 

5 

41 

9 

18 

9 

72 

20 

5 

120 

6 

7 

14 

35 

26 

12 

15 

29 



Total 
civilians 



7 

5 

2 

14 

25 

30 

4 

20 

77 

13 

5 

2 

5 

5 

28 

19 

16 

48 

15 

13 

2 

57 

653 

4 

14 

4 

2 

18 

4 

3 

2 

7 

4 

6 

5 

6 

4 

8 

4 

4 

4 

15 

15 

7 

14 

1 

3 

1 

5 

3 

4 

3 

5 

28 

8 

13 
5 
62 
15 
4 
77 
4 
5 

10 
29 
21 
9 
12 
23 



17 



13 
143 



City 



ALABAMA— Continued 



43 



Fairhope 

Falkville 

Fayette 

Flint City 

Flomaton 

Florence 

Foley 

Fort Deposit... 

Fort Payne 

Gadsden 

Garden City .... 

Gardendale 

Geneva 

Georgiana 

Geraldine 

Glencoe 

Goodwater 

Gordo 

Graysville 

Greensboro 

Greenville 

Grove Hill 

Guin 

Gulf Shores 

Guntersville ... 

Gurley 

Haleyville 

Hamilton 

Hanceville 

Hartford 

Hartselle 

Hayneville 

Headland 

Henin 

Helena 

Hokes Bluff... 

Hollywood 

Homewood 

Hoover 

Hueytown 

Huntsville 

Hurtsboro 

Irondale 

Jackson 

Jacksonville 

Jasper 

Jemison 

KiUen 

Kimberly 

Kinsey 

Lafayette 

Lanett 

Leeds 

Level Plains.... 

Lincoln 

Linden 

Lineville 

Lipscomb 

LittleviUe 

Livingston 

Luveme 

Madison 

Maplesville...... 

Marion 

Midfield 

Midland City. 

Millbrook 

Mobile 

Monroeville. .. 



Total 

police 

employees 



18 
5 
9 
2 
9 

76 

17 
6 

34 

114 

1 

18 

12 
7 
5 
6 

10 
5 
5 
9 

28 
7 
4 

18 

12 
6 

18 
7 

U 
9 

22 
2 

10 

13 



3 

54 

40 

14 

323 

7 

18 

19 

22 

46 

2 

4 

3 

1 

15 

21 

22 

11 

9 

5 

8 

7 

10 
13 
14 
17 
5 

13 
16 
6 
14 
440 
20 



Total 
officers 



254 



Table 75. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1983 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



ALABAMA— Continued 



Montevallo 

Montgomery 

Moody 

Moulton 

Moundville... 

Mountain Brook 

Mount Vernon 

Muscle Shoals 

New Brockton 

New Hope 

Newton 

Northport 

Notasulga 

Odenville 

Oneonta 

Opelika 

Opp 

Owens Cross Roads . 

Oxford 

Ozark 

Parrish 

Pelham 

Pell City 

Phenix City 

Phil Campbell 

Piedmont 

Pinckard 

Pleasant Grove 

Prattville 

Priceville 

Prichard 

Rainbow City 

Rainsville 

Red Bay 

Reform 

Riverside 

Roanoke 

Robertsdale 

Rockford 

Rogersville 

Russellville 

Samson.... 

Saraland 

Satsuma 

Scottsboro 

Selma 

Sheffield 

Sipsey. 

Slocomb 

Snead 

Southside 

Springville 

Stevenson 

Sulligent 

Sumiton 

Summerdale 

Sylacauga 

Talladega 

Tallassee 

Tarrant City 

Thomaston 

Thomas ville 

Thorsby 

Town Creek 

Trinity 

Troy 

Trussville 

Tuscaloosa 

Tuscumbia 



10 

452 

7 

9 

7 

56 

5 

22 

5 

5 

5 

29 

8 

1 

15 

81 

20 

2 

28 

28 

8 

21 

18 

66 

4 

12 

3 

14 

43 

2 

73 

14 

11 

6 

4 

3 

12 

9 

2 

3 

20 

9 

25 

13 

35 

84 

31 

4 

3 

2 



2 

12 

1 

37 

47 

20 

22 

1 

13 

2 

4 

38 

16 

189 

21 



6 

375 

4 

8 

4 

45 

4 

22 

4 

5 

2 

26 

3 

1 

12 

57 

14 

2 

22 

25 

5 

17 

15 

49 

4 

10 

2 

10 

34 

2 

44 

10 

7 

6 

4 

3 

12 
5 
2 
3 

16 
5 

19 

9 

26 

61 

26 

3 

3 

2 

4 

3 

5 

2 

7 

1 

32 

40 

16 

16 

1 

8 

2 

4 

1 

30 

12 

151 

19 



ALABAMA — Continued 

Tuskegee 

Union Springs 

Uniontown 

Valley 

Vestavia Hills 

Warrior 

Weaver 

West Blocton 

Wetumpka 

WUton 

Winfield 

York 

ALASKA 

Anchorage 

Bethel 

Cordova 

Craig 

Dillingham 

Fairbanks 

Homer 

Juneau 

Kenai 

Ketchikan 

Kodiak 

Kotzebue 

Nome 

North Pole 

North Slope Borough 

Palmer 

Petersburg 

Seldovia 

Seward..... 

Sitka 

Skagway 

Soldotna 

Wrangell 

ARIZONA 

Apache Junction 

Avondale 

Benson 

Bisbee 

Buckeye 

Casa Grande 

Chandler 

Chino Valley 

Clarkdale 

Clifton 

Coolidge 

Cottonwood 

Douglas 

Duncan 

Eagar 

El Mirage 

Eloy 

Flagstaff 

Florence 

Fredonia 

Gilbert 

Glendale 

Globe 

Goodyear 

Guadalupe 

Hayden 

Holbrook 

Huachuca City 

Jerome 



369 
19 
13 

6 
11 
71 
13 
40 
26 
33 
35 
26 
14 
10 
52 
14 
11 

2 
22 
22 

4 
10 



32 

22 

14 

21 

15 

50 

100 

6 

5 

5 

24 

19 

38 

3 

7 

16 

24 

78 

14 

2 

14 

203 

19 

13 

7 

7 

23 

9 

2 



282 

12 

7 

3 

5 

50 

9 

21 

13 

33 

19 

12 

8 

5 

32 

8 

7 

2 

8 

15 

4 

9 

7 



23 
16 
8 

16 

10 

35 

64 

3 

5 

5 

17 

12 

29 

2 

5 

11 

15 

57 

9 

2 

12 

145 

14 

9 

7 

6 

18 

4 

2 



255 



Table 75. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1983 — Continued 



aty 



ARIZONA— Continued 



Keamy 

Kingman 

Lake Havasu 

Mammoth 

Marana 

Mesa 

Miami 

Nogales 

Oro Valley 

Page 

Paradise Valley. 

Parker 

Patagonia. 

Payson 

Peoria 

Phoenix 

Pima 

Prescott 

Prescott Valley . 

Safford 

Saint Johns 

San Luis 

Scottsdale 

Show Low 

Sierra Vista 

Snownake 

Somerton 

South Tucson ... 

Springerville 

Superior 

Surprise 

Taylor 

Tempe 

Thatcher 

Tolleson 

Tombstone 

Tucson 

Wickenburg 

Willcox 

Williams 

Winslow 

Voungtown 

Yuma 



Alma 

Arkadelphia 

Ashdown 

Atkins 

Augusta 

Bald Knob... 

Barling 

Beebe 

Benton 

Bentonville... 

Berry ville 

Blytheville... 
Booneville .... 

Bradford 

Brinkley 

Bryant 

Bull Shoals.. 

Cabot 

Camden 



ARKANSAS 



Total 

police 

employees 



9 
39 

37 

6 

6 

370 

13 

36 

8 
19 
28 
13 

2 

20 

37 

2,268 

2 
56 
10 
14 

5 

9 

191 

17 

34 

5 
11 
28 

7 
IS 

8 

1 
239 

6 
15 

4 
759 
10 
15 
11 
25 
12 
102 



Total 
officers 



5 

26 

32 

4 

5 

250 

10 

31 
8 

14 

18 
8 
2 

14 

28 

1,635 

2 

39 
6 

13 

5 

7 

125 

12 

23 
4 
6 

15 
6 

10 

8 

1 

175 

6 

11 

4 

555 



Total 

civilians 



4 
13 
5 
2 
1 
120 
3 
5 



6 

9 

633 



2 
66 

5 
II 



64 



204 



21 



City 



ARKANSAS— Continued 

Carlisle 

Clarendon 

Clarksville 

Conway 

Coming 

Cotter 

Crossett 

Danville 

Dardanelle 

Decatur 

De Queen 

Dermott 

Des Arc 

De Vails Bluff 

De Witt 

Dumas 

Earle 

Elaine 

El Dorado 

England 

Eudora 

Eureka Springs 

Fairfield Bay 

Farmmgton 

Fayetteville 

Fordyce 

Forrest City 

Fort Smith 

Gassville 

Gentry 

Gravette 

Green Forest 

Greenwood 

Gurdon 

Hamburg 

Hampton 

Harrison 

Hazen 

Heber Springs 

Helena 

Hope 

Horseshoe Bend 

Hot Springs 

Hoxie 

Huntsville 

Jacksonville 

Johnson..... 

Jonesboro 

Judsonia 

Kensctt 

Lake Village 

Leachville 

Lincoln 

Little Rock 

L-onoke 

Lowell 

Magnolia 

Malvern 

Marianna 

Marion 

Marked Tree 

McCrory 

McGehee 

Mena 

Monticello 

Morrilton 



Total 

police 

employees 



4 

4 

12 

43 

11 

2 

16 

3 

8 

3 

8 

12 

4 

1 

12 

14 

4 

2 

52 

8 

7 

6 

8 

4 

58 

14 

29 

132 

1 

3 

3 

5 

4 

4 

6 

2 

21 

8 

15 

21 

22 

3 

78 

8 

5 

49 

2 

46 

3 

2 

6 

3 

3 

381 

8 

6 

21 

16 

14 

4 

9 

4 

13 

12 

IS 

17 



Total 
officers 



4 
4 
7 

37 
7 
1 

12 
2 
5 
3 
7 
6 
3 
1 



4 

2 

45 

4 

5 

5 

8 

3 

47 

10 

21 

101 

1 

3 

2 

4 

3 

4 

5 

2 

17 

4 

9 

14 

17 

2 

62 

4 

4 

39 

2 

41 

2 

2 

6 

3 

3 

301 

5 

4 

17 

11 

10 

4 

4 

3 

9 

8 

15 

10 



256 



Table 75. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1983 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



ARKANSAS — Continued 

Mountain Home 

Nashville 

Newport 

North Little Rock 

Osceola 

Ozark 

Paragould 

Paris 

Pea Ridge 

Piggott 

Pine BlufT 

Pocahontas 

Prairie Grove 

Prescott 

Rogers 

Russellville 

Searcy 

Sheridan , 

Sherwood 

Siloam Springs 

Smackover 

Springdale 

Star City 

Stuttgart 

Texarkana 

Trumann 

Van Buren 

Vilonia 

Waldron 

Walnut Ridge 

Warren 

West Fork 

West Helena 

West Memphis 

Wynne 

Yell villa 

CALIFORNIA 

Adelanto 

Alameda 

Albany 

Alhambra 

AJturas 

Anaheim 

Anderson 

Angels Camp 

Antioch 

Arcadia 

Areata 

Arroyo Grande 

Arvin 

Atascadero 

Atherton 

Atwater 

Auburn 

Azusa 

Bakersfleld 

Baldwin Park 

Banning 

Barstow 

Bear Valley Springs 

Beaumont 

Bell 

Bell Gardens 

Belmont 

Belvedere .- 

Benicia 



18 

7 
22 
139 
23 

7 
30 
10 

2 

8 

126 

15 

5 

10 
40 
31 
24 

4 
25 
22 

6 
52 

3 
22 
73 
12 
18 

1 

4 

9 
14 

2 
20 
50 
14 

1 



11 

128 
34 

120 
8 

439 
21 
8 
65 
87 
24 
19 
19 
27 
24 
27 
23 
70 

275 
70 
29 
42 
9 
16 
55 
46 
36 
6 
35 



12 

6 

15 

122 

20 

6 

26 

6 

2 

6 

107 

15 

4 

7 

30 

20 

18 

4 

18 

16 

5 

40 

3 

16 

55 

12 

18 

1 

4 

5 

8 

2 

19 

44 

13 

1 



7 
93 
29 
84 

7 

321 

14 

7 
55 
69 
17 
14 
12 
21 
19 
20 
17 
47 
201 
52 
22 
27 

5 

13 
39 
35 
29 

6 
24 



35 
5 

36 

1 

118 

7 

1 

10 

1 



16 



CALIFORNIA— Continued 

Berkeley 

Beverly HiUs 

Bishop 

Blythe 

Brawley 

Brea 

Brentwood 

Brisbane 

Broadmoor 

Buena Park 

Burbank 

Burlingame 

Calexico 

California City 

Calistoga 

Campbell 

Capitola 

Carlsbad 

Carmel 

Carpinteria 

Ceres 

Chico 

China Lake 

Chino 

Chowchilla 

Chula Vista 

Claremont 

Clayton 

Clearlake 

Cloverdale 

Clovis 

Coachella 

Coalinga 

Colfax 

Colma 

Colton 

Colusa 

Compton 

Concord 

Corcoran 

Coming 

Corona 

Coronado 

Costa Mesa 

Cotati 

Covina 

Crescent City 

Culver City 

Cypress 

Daly City 

Davis 

Delano 

Del Rey Oaks 

Desert Hot Springs 

Dinuba 

Dixon 

Dorris 

Dos Palos 

Downey 

Dunsmuir 

El Cajon 

El Centro 

El Cerrito 

El Monte 

El Segundo 

Emeryville 

Escalon 

Escondido 



206 

182 
19 
24 
32 
75 
11 
25 
9 

132 

211 
62 
33 
9 
10 
52 
28 
68 
32 
21 
M 
68 
52 
76 
16 

127 
48 
8 
25 
13 
60 
26 
20 
3 

14 

53 

9 

216 

180 
19 
10 
86 
46 

166 
13 
78 
U 

141 
69 

125 

51 

45 

5 

12 

21 

15 

5 

9 

123 
5 

166 
54 
40 

129 
77 
39 
10 

103 



156 
121 
12 
16 
25 
60 

9 
23 

8 
90 
133 
43 
23 

7 

9 
40 
21 
54 
19 
16 
23 
45 
48 
58 
11 
93 
35 

7 
18 

9 
47 
19 
12 

3 
12 
42 

8 

124 

124 

14 

9 
53 
34 
130 

8 
51 
10 
96 
47 
100 
40 
31 

5 

8 

16 
10 

2 

8 
98 

4 
100 
36 
34 
99 
59 
29 

6 
71 



257 



Table 75. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1983 — Continued 



Qty 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



CSty 



Total 

police 

employees 



Total 
officers 



CALIFORNIA— Continued 

Etna 

Eureka 

Exeter 

Fairfax 

Fairfield 

Farmersville 

Femdale 

Fillmore 

Firebaugh 

Folsom 

Fontana 

Fort Bragg 

Fort Jones 

Fortuna 

Foster City 

Fountain Valley 

Fowler 

Fremont 

Fresno 

Fullerton 

Gait 

Gardena 

Garden Grove 

Gilroy 

Glendale 

Glendora 

Gonzales 

Grass Valley 

Greenfield 

Gridley 

Grover City 

Guadalupe 

Gustine 

Half Moon Bay 

Hanford 

Hawthorne 

Hayward 

Healdsburg 

Heme! 

Hercules 

Hermosa Beach 

Hillsborough 

Hollister 

Holtville 

Hughson 

Huntington Beach 

Huntington Park 

Huron 7. 

Imperial 

Indio 

Inglewood 

lone 

Irvine 

Irwindale 

Isleton 

Jackson 

Kensington 

Kerman 

King City 

Kingsburg 

Laguna Beach 

La Habra 

Lakeport 

Lake Shastina 

La Mesa 

La Palma 

La Verne 



1 
44 
12 
11 

109 

10 

3 

17 

11 

23 

76 

19 

2 

18 

35 

78 

6 

221 

499 

19S 
16 
99 

200 
50 

244 

64 

7 

23 

9 

16 

17 

11 

7 

14 

45 

132 

212 
20 
45 
12 
49 
29 
20 
13 
7 

309 

80 

10 

9 

54 

236 
5 

115 
17 
6 
10 
10 
10 
13 
14 
65 
70 
11 
2 
70 
24 
40 



1 
33 
11 
11 
68 

9 

3 
13 

7 
17 
53 
13 

2 
12 
30 
59 

6 

150 

340 

143 

12 

82 

150 

38 

170 

43 

7 
16 

8 

10 
12 

7 

6 
12 
35 
81 
136 
15 
36 
11 
39 
22 
18 

9 

6 
188 
54 

6 

8 
37 
176 

4 
81 
13 

5 

8 
10 

9 
11 
10 
37 
51 

9 

2 
52 
19 
32 



41 



71 
159 
52 
4 
17 
50 
12 
74 
21 



2 

10 

51 

76 

5 

9 

1 

10 

7 

2 

4 

121 
26 

4 

1 
17 
60 

1 
34 

4 



18 



CALIFORNIA— Continued 

Lemoore 

Lincoln 

Lindsay 

Livermore 

Livingston 

Lodi 

Lompoc 

Long Beach 

Los Alamitos 

Los Altos 

Los Angeles 

Los Banos , 

Los Gatos 

Madera 

Manhattan Beach 

Manteca 

Maricopa 

Marina 

Martinez 

Marysville 

May wood 

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 

Orange Cove 

Orland 

Oroville 

Oxnard 

Pacifica 

Pacific Grove 

Palm Springs 

Palo Alto 

Palos Verdes Estates 

Pasadena 

Paradise 

Paso Robles 

Patterson 

Penis 

Petaluma 

Piedmont 



21 

11 

16 

77 

14 

70 

42 

942 

25 

34 

9,457 

29 

52 

45 

67 

40 

2 

27 

41 

31 

29 

12 

14 

52 

81 

34 

28 

68 

215 

62 

58 

92 

63 

103 

29 

20 

99 

11 

76 

87 

14 

9 

58 

7 

200 

62 

23 

907 

157 

143 

167 

9 

10 

29 

176 

51 

33 

128 

176 

32 

287 

32 

23 

10 

19 

58 

27 



19 
7 
12 
51 
10 
54 
29 

635 

20 

27 

6,886 

20 

39 

33 

56 

29 

2 

24 

33 

22 

21 

7 

,10 
37 
56 
25 
21 
55 

152 

50 

41 

70 

50 

68 

24 

15 

74 

7 

65 

66 

9 

7 

42 

6 

144 
46 
IS 

625 

116 

113 

121 

8 

9 

22 

128 
40 
28 
83 
99 
22 

181 
23 
19 
9 
11 
45 
20 



258 



Table 75. — Number of Full-time Law Enforcement Employees, Cities, October 91, 1983 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



CALIFORNIA— Confiiiued 

Pinole 

Pismo Beach 

Pittsburg 

Placentia 

Placerville 

Pleasant Hill 

Pleasanton 

Plymouth 

Pomona 

Porterville 

Port Hueneme 

Red Blufr 

Redding 

Redlands 

Redondo Beach 

Redwood City 

Reedley 

Rial to 

Richmond 

Ridgecrest 

Rio Dell 

Rio Vista 

Ripon 

Riverbank 

Riverside 

Rocklin 

Rohnert Park 

Roseville 

Ross 

Sacramento 

Saint Helena 

Salinas 

San Anselmo 

San Bernardino 

San Bruno 

San Carlos 

San Clemente 

Sand City 

San Diego 

San Fernando 

San Francisco 

San Gabriel 

Sanger 

San Jacinto 

San Jose 

San Juan Bautista 

San Leandro 

San Luis Obispo 

San Marino 

San Mateo 

San Pablo 

San Rafael 

Santa Ana 

Santa Barbara 

Santa Clara 

Santa Cruz 

Santa Maria 

Santa Monica 

Santa Paula 

Santa Rosa 

Sausalito 

Scotts Valley 

Seal Beach 

Seaside 

Sebastopol 

Selma 

Shafter 

Sierra Madrv 

Signal HiU 

Simi Valley 

Soledad 

Sonoma 

Sonora 



26 
18 
53 
60 
21 
51 
58 
2 

202 
44 
25 
26 
97 
76 

147 
83 
23 
65 

218 

35 

9 

10 

8 

15 

336 
16 
43 
53 
10 

691 
16 

173 
23 

261 

55 

46 

57 

2 

1,827 

46 

2,362 

56 

27 

15 

1,178 

3 

122 
73 
29 

134 
44 
94 

461 

180 

177 
72 
74 

258 
33 

162 
34 
17 
55 
42 
16 
25 
16 
18 
38 
104 
9 
16 
14 



19 
13 
48 
44 
17 
37 
42 
2 

140 
30 
18 
20 
68 
54 
94 
68 
17 
45 

158 

23 

7 

9 

8 

12 

247 

11 

32 

35 

9 

498 
12 

130 
17 

195 

44 

34 

38 

2 

1.376 

35 

1,923 

46 

22 

10 

899 

3 

84 

48 

27 

103 
32 
68 

304 

126 

145 
50 
56 

143 
27 

118 
23 
12 
39 
34 
12 
19 
11 
13 
28 
72 
8 
11 
12 



3 
89 

5 
11 
18 

1 
193 

4 
43 

6 
66 
11 
12 
19 



451 
11 

439 
10 



279 

38 
25 
2 
31 
12 
26 

157 
54 
32 
22 
18 

115 
6 
44 
II 
5 
16 



CALIFORNIA— Continued 

South Gate 

South Lake Tahoe 

South Pasadena 

South San Francisco 

Stallion Springs 

Stanton 

Stockton 

Suisun City 

Sunnyvale 

Susan ville 

Sutter Creek 

Taft 

Tehachapi 

Tiburon 

Torrance 

Tracy 

Tulare 

Tulelake 

Turlock 

Tustin 

Twin Cities 

Ukiah 

Union City 

Upland 

VacaviUe 

Vallejo 

Ventura 

Vernon 

Visalia 

Wahiut Creek 

Waterford 

Watsonville 

Weed 

West Covina 

Westminster 

Westmorland 

Wheatland 

Whittier 

Wilhams 

WiUits 

Willows 

Winters 

Woodlake 

Woodland 

Yreka 

Yuba City 

COLORADO 

Akron 

Alamosa 

Antonito 

Arvada 

Aspen 

Ault 

Aurora 

Avon 

Basalt 

Bayfield 

Berthoud 

Black Hawk 

Boulder 

Bow Mar 

Breckenridge 

Brighton 

Broomfield 

Brush 

Buena Vista 

Burlington 

Canon City 

Carbondale 

Castle Rock 

Cedaredge 



120 

60 

41 

101 

3 

53 

358 

21 

153 

13 

4 

17 

8 

17 

304 

43 

45 

3 

55 

76 

40 

27 

69 

81 

67 

130 

155 

53 

90 

91 

6 

59 

8 

137 

113 

4 

4 

120 

5 

20 

9 

7 

8 

54 

19 

47 



4 

22 

4 

155 

23 

3 

443 

6 

3 

2 

5 

1 

151 

2 

19 

34 

45 

15 

6 

8 

32 

8 

10 
4 



87 
45 
30 
69 

3 

41 

237 

15 

114 

12 

4 
12 

6 

14 

231 

31 

33 

3 
40 
54 
31 
23 
50 
64 
45 
101 
102 
44 
65 
67 

6 
40 

7 

100 

80 

4 

4 
85 

5 
14 

8 

6 

7 
45 
13 
32 



3 

19 

4 

111 

21 

3 

323 

5 

3 

2 

4 

I 

111 

2 

13 

25 

33 

9 

6 

8 

23 

7 

10 

4 



259 



Table 75. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1983 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



COLORADO— Continued 



Center 

Central City 

Cherry Hills Village.. 

Cheyenne Wells 

Colorado Springs 

Columbine Valley 

Commerce City 

Cortez 

Craig 

Creede 
Crested Butte 

Dacono 

De Beque 

Del Norte 

Delta 

Denver 

Dillon 
Dinosaur 

Dolores 

Dove Creek 

Durango 

Eagle 

Eaton 

Edgewater 

EHzabeth 

Empire 

Englewood 

Erie 

Estes Park 

Evans 

Fairplay 

Federal Heights 

Firestone 

Flagler 

Fleming 

Florence 

Fort Collins 

Fort Lupton 

Fort Morgan 

Fountain 

Fowler 

Frederick 

Frisco 

Fruita 

Georgetown 

Glendale 

Glenwood Springs .... 

Golden 

Grand Junction 

Grand Lake .-. 

Greeley 

Greenwood Village .. 

Gunnison 

Haxtun 

Hayden 

Idaho Springs 

Ignacio 

Johnstown 

Kersey 

Kremmling 

Lafayette 

La Junta 

Lakewood 

Lamar 

La Salle 

Las Animas 

Leadville 

Limon 

Littleton 

Lochbuie 

Log Lane Village 



6 

3 

22 

2 

495 

3 

50 

29 

30 

1 

3 

5 

2 

5 

14 

1.651 

4 

1 

2 

1 

44 

5 

4 

14 

1 

1 

100 

3 

19 

13 

2 

22 

2 

4 

1 

5 

124 

17 

24 

17 

2 

4 

g 

8 

3 

32 

20 

31 

100 

4 

127 

39 

21 

3 

4 

10 

4 

4 

2 

3 

23 

14 

290 

26 

4 

8 

6 

4 

64 

1 

1 



6 

3 

20 

2 

379 

3 

38 

21 

21 

1 

3 

4 

2 

4 

11 

1,355 

4 

1 

2 

1 

27 

5 

3 

11 

1 

1 

74 

3 

18 

11 

2 

15 

2 

1 

1 

5 

82 

11 

18 

12 

2 

4 

7 

8 

3 

25 

17 

22 

68 

4 

88 

27 

12 

3 

4 

8 

4 

4 

2 

3 

18 

12 

196 

20 

4 

7 

6 

4 

53 

1 

1 



2 
116 



3 
296 



17 



26 



42 
6 
6 



94 



COLORADO— Continued 



Longmont 

Louisville 

Loveland 

Lyons 

Manassa 

Mancos 

Manitou Springs 

Milliken 

Mintum 

Monte Vista 

Montrose 

Morrison 

Mountain View 

Mount Crested Butte . 

Nederland 

New Castle 

Northglenn 

Nucia 

Oak Creek 

Olathe 

Ordway 

Otis 

Pagosa Springs 

Palisade 

Palmer Lake 

Paonia 

Parachute 

Platteville 

Pueblo 

Rangely 

Rifle 

Rocky Ford 

Salida 

Sheridan 

SiU 

Silverthome 

Snowmass Village 

Steamboat Springs 

Sterling 

Thornton 

Trinidad 

Vail 

Walsenburg 

Walsh 

WestclifTe 

Westminster 

Wheat Ridge 

Wiggins 

Windsor 

Woodland Park 

Yuma 



CONNECTICUT 



Ansonia 

Avon 

Berlin 

Bethel 

Bloomfield . 
Branford .... 
Bridgeport.. 

Bristol 

Brookfield .. 

Canton 

Cheshire 

Chnton 

Coventry .... 
Cromwell ... 

Danbury 

Danielson... 
Darien 



89 

18 

57 

4 

1 

2 

20 

3 

5 

19 
24 
1 
2 
5 
3 

61 
1 
2 
2 
5 
1 
5 
5 
2 
5 
7 
3 
219 
12 
17 
8 

10 

25 

3 

11 

7 

28 

31 

89 

24 

42 

10 

1 

1 

126 

76 

1 

8 

13 

10 



36 

33 
36 

33 

53 

.14 

442 

100 

31 

20 

43 

23 

12 

20 

119 

10 

48 



64 

15 

41 

4 

2 

14 

3 

4 

15 

19 

1 

2 

5 

3 

1 

47 

1 

2 

2 

2 

I 

4 

5 

2 

4 

3 

3 

173 

7 

12 

8 

9 

17 

3 

10 

6 

18 

22 

68 

17 

26 

9 

1 

1 

86 

52 

1 

7 

8 

6 



32 
30 
33 
29 
44 
32 
415 
91 
25 
12 
36 
20 

9 

15 

113 

9 
43 



260 



Table 75. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1983 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



CONNECTICUT— Continued 

Derby 

East Hampton 

East Hartford 

East Haven 

Easton 

East Windsor 

Enfield 

Fairfield 

Farmington 

Glastonbury 

Granby 

Greenwich 

Groton 

Groton Long Point 

Groton Town 

Guilford 

Hamden 

Hartford 

Jewett City 

Madison 

Manchester 

Meriden 

Middlebury 

Middletown 

Milfbrd 

Monroe 

Naugatuck 

New Britain 

New Canaan 

New Haven 

Newington 

New London 

New Milford 

Newtown 

North Branford 

North Haven 

Norwalk 

Norwich 

Old Saybrook 

Orange 

Plainfield 

Plain ville 

Plymouth 

Putnam 

Ridgefield 

Rocky HiU 

Seymour 

Shelton , 

Simsbury 

Southington 

South Windsor 

Stafford Springs 

Stamford 

Stonington 

Stratford 

Suffield 

Thomaston 

Torrington 

Trumbull 

Vernon 

Wallingford 

Waterbury 

Waterford 

Watertown 

West Hartford 

West Haven 

Weston 

Westport 

Wethersfield 

WiUimamic 



20 
12 

124 
52 
14 
15 
89 

104 
40 
56 
11 

176 
33 
7 
56 
36 

114 

573 

9 

26 

110 

122 
12 
87 

127 
35 
41 

164 
48 

395 
52 
81 
32 
35 
15 
52 

188 
78 
25 
34 
14 
37 
13 
15 
39 
35 
20 
41 
35 
51 
34 
5 

272 
33 

112 
17 
12 
65 
70 
51 
73 

298 
41 
33 

154 

114 
13 
79 
53 
35 



20 
10 

106 
47 
12 
11 
73 
97 
32 
43 
7 

150 
30 
7 
48 
32 
95 

457 

5 

24 

85 

103 
10 
80 

114 
29 
39 

148 
43 

353 
41 
75 
27 
25 
14 
44 

151 
70 
19 
32 
13 
31 
12 
14 
34 
28 
20 
36 
30 
49 
28 
5 

246 
28 
97 
15 
9 
60 
58 
41 
59 

252 
37 
30 

128 

100 
12 
67 
42 
31 



8 
4 

19 

116 

4 

2 

25 

19 
2 
7 

13 
6 
2 

16 
5 

42 

11 
6 
5 

10 
1 
8 

37 
8 
6 



26 



CONNECTICUT— Continued 

Wilton 

Windsor 

Windsor Locks 

Winsted 

Wolcott 

Woodbridge 

DELAWARE 

Bethany Beach 

Bethel 

Blades 

Bridgevjlle 

Camden-Wyoming 

Clayton 

Dagsboro 

Delaware City 

Delmar 

Dewey Beach 

Dover 

EUendale 

Elsmere 

Fenwick Island 

Georgetown 

Greenwood 

Harrington 

Laurel 

Lewes 

Milford 

Millsboro 

Milton 

Newark 

New Castle 

Newport 

Ocean View 

Rehoboth Beach 

Seaford 

Selbyville 

Smyrna 

South Bethany 

Wilmmgton 

DISTRICT OF COLUMBIA 

Washington 

FLORIDA 

Alachua 

Altamonte Springs 

Altha 

Apalachicola 

Apopka 

Arcadia 

Atlantic Beach 

Atlantis 

Aubumdale 

Avon Park 

Bal Harbour 

Bartow 

Bay Harbor Islands 

Belleair 

Belleair Beach 

Belleair Bluffs 

Belle Glade 

Belleview 

Biscayne Park 

Blountstown 

Boca Raton 

Bonifay 



38 


34 


45 


41 


22 


20 


25 


20 


24 


20 


24 


19 



6 

1 
1 
4 
1 
1 
2 
3 
6 
4 

71 
1 

14 
3 
5 
1 
5 
8 
6 

22 
6 
3 

55 
9 
6 
2 

17 

19 
1 

14 

2 

295 



4,364 



14 

74 

1 

6 

34 

20 

21 

19 

22 

21 

31 

37 

26 

14 

6 

7 

55 

8 

6 

9 

129 

9 



5 
1 
1 
4 

1 
1 
3 
5 
3 

56 
1 

12 
3 
5 
1 
5 
7 
6 

16 
6 
3 

50 
8 
6 
2 

15 

14 

1 

9 

2 

235 



3,847 



10 

54 

I 

5 

25 

14 

15 

14 

17 

17 

23 

29 

21 

10 

5 

7 

45 

7 

6 

5 

100 

5 



261 



Table 75. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1983— Continued 



City 



FLORIDA— Continued 



Bowling Green 

Boynton Beach 

Bradenton 

Bradenton Beach 

Brooksville 

Bunnell 

Bushnell 

Calloway 

Cape Coral 

Casselberry 

Cedar Grove 

Center Hill 

Century 

Chattahoochee 

Chiefland 

Chipley 

Clearwater 

Clermont 

Clewiston 

Cocoa 

Cocoa Beach 

Coconut Creek 

Coleman 

Cooper City 

Coral Gables 

Coral Springs 

Crescent City 

Crestview 

Crystal River 

Dade City 

Dania 

Davenport 

Davie 

Daytona Beach 

Daytona Beach Shores 

Deerfield Beach 

De Funiak Springs 

De Land 

Delray Beach 

Dundee 

Dunedin 

Dunnellon 

Eagle Lake 

Eatonville 

Edgewater 

Edgewood 

El Portal 

Eustis 

Femandina Beach 

Flagler Beach 

Florida City 

Fort Lauderdale 

Fort Meade 

Fort Myers 

Fort Pierce 

Fort Walton Beach 

Frostproof 

Fruitland Park 

Gainesville 

Golden Beach 

GraceviUe 

Greenacres City 

Green Cove Spnngs 

Greenville 

Groveland 

Gulf Breeze 

Gulfport 

Gulf Stream 

Hacienda Village 



Total 

police 
employees 



5 

93 

64 

8 

22 

5 

5 

13 

80 

49 

4 

2 

5 

7 

5 

4 

266 

14 

15 

44 

38 

28 

3 

31 

175 

121 

9 

20 

18 

20 

52 

9 

75 

242 

27 

100 

10 

52 

117 

10 

60 

7 

5 

9 

17 

6 

5 

35 

27 

8 

16 

647 

13 

140 

94 

51 

12 

7 

260 

11 

9 

38 

16 

2 

10 

13 

24 

II 

12 



Total 
officers 



5 

78 

51 

7 

15 

5 

5 

9 

60 

32 

4 

2 

5 

6 

4 

4 

191 

10 

9 

31 

31 

22 

3 

23 

135 

81 

5 

15 

12 

15 

39 

5 

53 

170 

20 

81 

8 

37 

92 

6 

46 

6 

5 

5 

13 

6 

5 

27 

21 

6 

11 

431 

10 

98 

75 

42 

7 

6 

176 

11 

5 

31 

13 

2 

6 

11 

19 

10 

11 



Total 
civilians 



19 



14 



City 



FLORIDA — Continued 



216 

3 

42 

19 

9 

5 

I 

84 



Haines City 

Hallandale 

Havana 

Hialeah 

Hialeah Gardens 

Highland Beach 

High Springs 

Hillsboro Beach 

Holly Hill 

Hollywood 

Holmes Beach 

Homestead 

Howey-in-the-HiUs 

Indialantic 

Indian Harbour Beach. 

Indian River Shores 

Indian Rocks Beach 

Indian Shores 

Inverness 

Jacksonville 

Jacksonville Beach 

Jasper 

Juno Beach 

Jupiter 

Jupiter Inlet Colony 

Jupiter Island 

Kenneth City 

Key West 

Kissimmee 

Lady Lake 

Lake Alfred 

Lake City 

Lake Clarke Shores 

Lake Hamilton 

Lake Helen 

Lakeland 

Lake Mary 

Lake Park 

Lake Wales 

Lake Worth 

Lantana 

Largo 

Lauderdale-by-the-Sea . 

Uurel Hill 

Leesburg 

Lighthouse Point 

Live Oak 

Longboat Key 

Longwood 

Lynn Haven 

Madeira Beach 

Madison 

Maitland 

Manalapan 

Mangonia Park 

Margate 

Marianna 

Mascotte 

Medley 

Melbourne 

Melbourne Beach 

Mexico Beach 

Miami 

Miami Beach 

Miami Shores 

Miami Springs 

Milton 

Minneola 

Miramar 



Total 

police 

employees 



Total 
officers 



32 


25 


118 


98 


10 


7 


389 


284 


23 


17 


9 


9 


8 


6 


15 


12 


27 


19 


460 


298 


9 


8 


74 


53 


4 


4 


13 


11 


19 


13 


6 


6 


14 


13 


12 


11 


10 


9 


1.598 


899 


46 


32 


5 


5 


8 


7 


41 


-32 


3 


3 


16 


14 


10 


9 


56 


45 


75 


49 


6 


5 


11 


7 


29 


24 


9 


9 


7 


5 


4 


4 


155 


119 


13 


9 


29 


22 


28 


21 


89 


67 


25 


20 


127 


79 


15 


14 


1 


1 


40 


32 


36 


28 


12 


11 


23 


17 


26 


22 


10 


9 


14 


13 


8 


7 


31 


24 


11 


7 


8 


8 


109 


80 


18 


16 


5 


4 


27 


20 


118 


85 


10 


9 


4 


4 


1,442 


1,045 


386 


287 


36 


29 


43 


35 


18 


13 


3 


3 


69 


59 



262 



able 75. Number of Full-time Law Enforcement Employees, Cities, October 31, 1983 — Continued 



City 



FLORIDA— Continued 



lonticello 

lount Dora 

lulberry 

Japles 

Jeptune Beach 

Jew Port Richey 

Jew Smyrna Beach 

Jiceville 

Jorth Bay Village 

Jorth Lauderdale 

Jorth Miami 

Jorth Miami Beach 

Jorth Palm Beach 

Jorth Port 

)ak Hill 

>aldand 

)aldand Park 

)cala 

)cean Ridge 

)coee 

)keechobee 

)pa Locka 

)range City 

)range Park 

)rlando 

)rmond Beach 

)viedo 

■ahokee 

'alatka 

'aim Bay 

•aim Beach 

'aim Beach Gardens 

'aim Beach Shores 

'almetto 

'aim Springs 

•anama City 

'anama City Beach 

'arker 

'arkland 

Pembroke Pines 

Pensacola 

Perry 

Pinellas Park 

Plantation 

Plant City 

Pompano Beach 

Ponce Inlet 

Port Orange 

Port Richey 

Port Saint Joe 

Port Saint Lucie 

Punta Gorda 

Quincy 

Redington Beach 

Riviera Beach 

Rockledge 

Royal Palm Beach 

Samt Augustine 

Saint Augustine Beach.. 

Saint Cloud 

Saint Leo 

Saint Petersburg 

Samt Petersburg Beach . 

Sanford ■■■■.. 

Sanibel 

Sarasota 

Satellite Beach 

Sea Ranch Lakes 

Sebastian 

Sebring 

Seminole Tribal 



Total 

pohce 

employees 



Total 
officers 



24 
12 
74 
15 
33 
54 
17 
25 
49 
113 
108 
38 
23 
3 
2 
91 
120 
16 
28 
21 
50 
9 
25 
594 
61 
15 
15 
33 
58 
96 
49 
9 
35 
24 
90 
26 
7 
7 
100 
182 
16 
56 
140 
47 
226 
11 
52 
9 
11 
42 
27 
43 
6 
86 
26 
13 
39 
6 
25 
3 
615 
47 
60 
23 
210 
1 

11 
12 
27 
20 



Total 
civilians 



7 
17 
8 
55 
10 
26 
39 
13 
19 
37 
96 
93 
31 
17 
3 
2 
69 
91 
11 
20 
15 
42 
8 
20 
430 
46 
9 
10 
26 
37 
74 
38 
8 
26 
19 
73 
25 
7 
7 
79 
132 
14 
44 
100 
33 
149 
7 
41 
8 
7 

30 
19 
37 
6 
67 
20 
12 
34 

1 
3 

403 
34 
49 
17 

122 
13 
9 
11 
20 
12 



City 



FLORIDA— Continued 



5 

164 

15 

6 

5 

7 

21 

22 

11 



17 



21 
50 

2 
12 
40 
14 
77 

4 
11 

1 

4 
12 



19 



Sewall's Point 

South Bay 

South Daytona 

South Miami 

South Palm Beach . 

Springfield 

Starke 

Stuart 

Sunrise 

Surfside 

Sweetwater 

Tallahassee ... 

Tamarac 

Tampa 

Tarpon Springs 

Tavares 

Temple Terrace 

Tequesta 

Titusville 

Treasure Island 

Umatilla 

Valparaiso 

Venice 

Vernon 

Vero Beach 

Virginia Gardens... 

Waldo 

Wauchula 

Webster 

West Melbourne... 

West Miami 

West Palm Beach.. 

Wewahitchka 

White Springs 

Wildwood 

Williston 

Wilton Manors 

Windermere 

Winter Garden 

Winter Haven 

Winter Park 

Winter Springs 

Zephyrhills 

Zolfo Springs 



212 

13 

11 

6 

88 

5 

2 



GEORGIA 



Abbeville 

Acworth 

Adairsville.. 

Add 

Adrian 

Alamo 

Albany 

Alma 

Alpharetta... 
Americus .... 

Aragon 

Ashbum 

Athens 

Atlanta 

Auburn 

Augusta 

Austell 

Bainbridge.. 

Baldwin 

Bamesville . 

Baxley 

Blackshear . 
Blairsville... 
Blakely 



Total 

police 

employees 



Total 

officers 



6 

12 

28 

50 

8 

12 

16 

39 

118 

23 

14 

260 

88 

875 

39 

16 

39 

21 

70 

25 

8 

7 

52 

1 

70 

7 

5 

14 
5 

10 

15 

207 

1 

1 

11 

8 

35 

5 

27 

58 

84 

28 

21 

5 



3 

12 

9 

14 

1 

3 

210 

11 

19 

45 

9 

10 

127 

1,603 

3 

191 

II 

29 

4 

11 

14 

8 

3 

17 



Total 
civilians 



6 

7 

21 

42 

7 

9 

12 

31 

93 

17 

13 

191 

64 

687 

30 

12 

30 

17 

50 

20 

5 

6 

36 

1 

49 

6 

5 

10 

5 

9 

14 

163 

1 

1 

6 

6 

26 

4 

21 

49 

63 

21 

15 

4 



5 

14 

1 

3 

184 

10 

14 

35 

4 

9 

90 

1,315 

3 

161 

9 

24 

4 

10 

10 

7 

3 

12 



5 
7 
8 
1 
3 
4 
8 

25 
6 
1 

69 

24 
188 
9 
4 
9 
4 

20 

5 

3 

1 

16 



21 



1 

1 

44 



5 
2 
9 
1 
6 
9 
21 
7 
6 
1 



26 
1 

5 
10 

5 

1 

37 

288 



30 
2 
5 



263 



Table 75. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1983 — Continued 



City 



GEORGIA— Continued 



Blue Ridge 

Bogart 

Boston 

Bowdon 

Bremen 

Broxton 

Brunswick 

Buchanan 

Butler 

Byron 

Cairo 

Calhoun 

Camilla 

Canton 

Carrollton 

Cartersville 

Cave Spring 

Cedartown 

Centerville 

Chamblee 

Chatsworth 

Clarkesville 

Clarkston 

Clayton 

Ciaxton 

Cochran 

Colbert 

College Park 

Colquitt 

Columbus 

Commerce 

Conyers 

Coolidge 

Cornelia 

Covington 

Cumming 

Cuthbert 

Dalton 

Darien 

Dawson 

Decatur 

Dillard 

Doerun 

Donalsonville 

Doraville 

Douglas 

Douglasville 

Dubhn 

Duluth 
East Dublin 

Eastman 

East Point 

Eatonton 

Edison 

Elberton 

Ellaville 

Ellijay 

Eton 

Fairbum 

Fairmount 

Fayetteville 

Fitzgerald 

Folkston 

Forest Park 

Forsyth 

Fort Gaines 

Fort Oglethorpe . 

Franklin 

Gainesville 

Garden City 

Grantville 

Gray 



Total 

poUce 

employees 



4 

3 

4 

10 

14 

15 

79 

7 

4 

9 

17 

28 

17 

U 

40 

36 

4 

24 

II 

32 

14 



Total 
officers 



1 
63 
II 
367 
12 
29 

5 
II 
33 
12 

9 
55 

9 
17 
49 

2 

5 
12 
28 
37 
26 
36 
14 
10 
13 
98 
10 

3 
22 

3 
10 

1 
14 

2 
17 
23 

4 
52 
18 

6 
20 

5 
67 
16 

4 



4 

3 

4 

6 

14 

12 

67 

6 

4 

6 

15 

24 

12 

13 

34 

30 

4 

21 

4 

30 

II 

5 

7 

7 

6 

10 

1 

56 

II 

324 

12 

21 

2 

II 

30 

8 

5 

47 

5 

13 

41 

I 

4 

8 

28 

29 

20 

28 

8 

6 

9 

87 

10 

3 

20 

3 

6 

I 

10 

2 

13 

16 

4 

39 

14 

4 

14 

5 

63 

15 

4 

3 



Total 
civihans 



12 



City 



GEORGIA— Continued 



43 



Greensboro 

Greenville 

Griffin 

Grovetown 

Hagan 

Hahira 

Hampton 

Hapeville 

Harlem 

Hartwell 

Hawkinsville 

Hazlehurst 

Helen 

Hiawassee 

Hinesville 

Hiram 

Hogansville 

Holly Springs 

Homerville 

Jasper 

Jenkinsburg 

Jesup 

Kennesaw 

Kingsland 

Lafayette 

La Grange 

Lake City 

Lavonia 

Lawrenceville 

Leesburg 

Lenox 

Lilbum 

Lithonia 

Locust Grove 

Loganville 

Lookout Mountain . 

Louisville 

Lumpkin 

Luthersville 

Macon 

Madison 

Manchester 

Mansfield 

Marietta 

Marshallville 

McCaysville 

Mc Donough 

Metter 

Midvilte 

Milledgeville 

Millen 

Monroe 

Montezuma 

Monticello 

Morrow 

Morven 

Moultrie 

Nahunta 

Nashville 

Newnan 

Norcross 

Norman Park 

Oakwood 

Ocilla 

Palmetto 

Peachtree City 

Pearson 

Pelham 

Pembroke 

Perry 

Pine Moimtain 

Plains 

Pooler 



Total 

police 

employees 



63 



7 

6 

35 

9 

15 

9 

12 

5 

1 

38 

2 

12 

1 

8 

6 

1 

24 

20 

9 

22 

77 

12 

10 

20 

3 

1 

11 

11 

5 

4 

11 

10 

3 

3 

289 

12 

16 

1 

110 

8 

4 

11 

9 

1 

39 

9 

23 

IS 

11 

19 

2 

43 

9 

16 

30 

14 

1 

8 

13 

7 

23 

5 

14 
3 
25 
4 
2 
5 



Total 
officers 



7 


4 


8 


3 


■i 




4 




7 


4 


9 


1 


3 




3 




246 


43 


9 


3 


10 


6 


1 




90 


20 


4 


4 


4 




7 


4 


9 




1 




28 


II 


9 




15 


8 


10 


5 


11 




15 


4 


2 




37 


6 


2 


7 


16 




29 


1 


10 


4 


1 




6 


2 


9 


4 


7 




15 


8 


5 




10 


4 


3 




24 


1 


2 


2 


7 




5 





264 



(,le 75. Number of Full-time Law Enforcement Employees, Cities, October 31, 1983 — Continued 



City 



GEORGIA— Continued 



HAWAII 



IDAHO 



Total 

police 

employees 



Total 
officers 



7 

14 
21 
8 
4 
5 
4 
3 
22 
3 

16 
13 
72 
12 
3 
20 
18 
344 
64 
21 



35 

4 

14 

16 

12 

34 

45 

13 

10 

47 

21 

6 

7 

3 

17 

10 

81 

26 

5 

14 

8 

1 

70 

2 

8 

58 

17 

20 

3 

4 

3 

22 



13 



168 
1,945 



27 



Total 
civilians 



7 

10 

17 

5 

4 

4 

4 

3 

18 

3 

13 

9 

44 

8 

3 

19 

13 

280 

50 

17 

5 

3 

29 

3 

13 

12 

g 

34 

37 

11 

6 

39 

16 

6 

7 

3 

14 

5 

66 

25 

5 

9 

5 

1 

58 

2 

8 

40 

14 

16 

3 

2 

3 

19 

3 

8 

11 



117 
1,584 



25 



28 



64 

14 

4 

2 



City 



IDAHO— Continued 



12 



Boise 

Bonners Ferry 

Buhl 

Burley 

Caldwell 

Cascade 

Chubbuck 

Coeur d'Alene 

Emmett 

Filer 

Fruitland 

Garden City 

Gooding 

Grangeville 

Hailey 

Heybum 

Homedale 

Idaho Falls 

Jerome 

Kellogg 

Ketchura 

Lava Hot Springs.. 

Lewiston 

McCall 

Meridian 

Montpelier 

Moscow 

Mountain Home... 

Nampa 

New Plymouth 

Osbum 

Payette 

Pinehurst 

Pocatello 

Post Falls 

Preston 

Priest River 

Rexburg 

Rigby 

Rupert 

Samt Anthony 

Saint Maries 

Salmon 

Sandpoint 

Shelley 

Soda Springs 

Sun Valley 

Twin Falls 

Wallace 

Weiser 

Wilder 



51 
361 



ILLINOIS 



Abingdon 

Addison 

Albany 

Aledo 

Algonquin 

Alorton 

Alsip 

Altamont 

Alton 

Andalusia 

Anna..... 

Antioch 

Areola 

Arlington Heights- 
Arthur 

Athens 



Total 

police 

employees 



Total 
officers 



175 

6 

7 

28 

30 

2 

1 

47 

11 

3 

6 

9 

6 

7 

7 

2 

5 

84 

11 

12 

12 

3 

53 

8 

12 

5 

32 

23 

42 

4 

5 

12 

2 

86 

13 

4 

6 

20 

5 

12 
6 
5 
7 
14 
6 
7 
8 
52 
4 
12 
2 



7 
67 

1 

5 
20 

9 
42 

3 
78 

2 

8 
16 

3 
114 

4 

1 



Total 
civilians 



155 

6 

7 

21 

21 

2 

9 

33 

10 

3 

5 

9 

6 

5 



5 

66 

11 

8 

9 

3 

41 

7 

10 

5 

25 

17 

30 

4 

4 

11 

2 

67 

9 

4 

5 

15 

5 

11 

5 

5 

7 

10 

6 

6 

8 

48 

3 

8 

2 



20 



2 

14 

1 



12 
1 
2 



7 
6 
12 



19 

4 



5 


2 


48 


19 


1 




5 




13 


7 


9 




34 


8 


1 




67 


11 


7 




R 




13 


3 


3 




88 


26 


4 




1 





265 



Table 75. — Number of FuU-time Law Enforcement Employees, Cities, October 31, 1983 — Continued 



City 



ILLINOIS— Continued 



Auburn 

Aurora 

Avon 

Barrington 

Bamngton Hills.. 

Banletl 

Bartonville 

Batavia 

Beardstown 

Beckemeyer 

Bedford Park 

Beecher 

Belleville 

Bellwood 

Belvidere 

Benld 

Bensenville 

Benton 

Berkeley 

Berwyn 

Bethalto 

Bloomingdale 

Bloomington 

Blue Island 

Blue Mound 

Bolingbrook 

Bourbonnais 

Bradley 

Braidwood 

Breese 

Bridgeview 

Brighton 

Broadview 

Brookfield 

Brooklyn 

Buffalo Grove 

Bunker Hill 

Burbank 

Bumham 

Burr Ridge 

Byron 

Cahokia 

Cairo 



Calumet City... 
Calumet Park.. 

Canton 

Carbondale 

Carlinville 

Carlyle 

Carmi 

Carol Stream ... 
Carpentersville . 

Carrollton 

Carterville 

Carthage 

Cary.. 



Casey 

CaseyviUe 

Catlin 

Central City.. 

Centralia 

Centreville 

Champaign ... 
Channahon.... 

Charleston 

Chatham 

Chester 



Total 

police 

employees 



8 

194 

2 

39 

21 

26 

12 

26 

10 

1 

29 

5 

68 

39 

23 

6 

35 

12 

15 

92 

13 

36 

78 

34 

I 

70 

18 

18 

5 

7 

41 
4 

29 

31 
9 

43 
6 

43 
10 
14 
4 

37 

23 

76 

20 

19 

67 

13 
6 

10 

37 

39 
5 
4 
3 

16 
6 

10 
I 
2 

35 

17 
108 

10 

32 
8 

10 



Total 
officers 



4 

168 

2 

25 

16 

16 
8 

20 
7 
1 

24 
5 

58 

33 

21 
4 

25 
8 

12 
68 
9 
25 
67 
24 
1 
49 

12 

16 

4 

4 
35 

3 
28 
27 

5 
33 

3 
35 

8 
13 

4 
25 
16 
52 
15 
17 
52 

9 

6 

9 
26 
34 

4 

4 

3 
13 

6 

6 

1 

2 
28 
13 
85 

5 
25 



Total 
civihans 



26 



10 



24 



City 



ILLINOIS— Continued 



4 
4 
10 
3 
8 
2 
1 

12 

7 
24 



Chicago 

Chicago Heights 

Chicago Ridge 

Chillicothe 

Christopher 

Cicero 

Clarendon Hills 

Clinton 

Coal City 

Coal Valley 

Colfax 

CoUinsville 

Colona 

Columbia 

Coulterville 

Country Club Hills . 

Countryside 

Crest HiU 

Crestwood 

Crete 

Creve Coeur 

Crystal Lake 

Dallas City 

Danville 

Darien 

Decatur 

Deerfield 

De Kalb 

Delavan 

De Soto 

Des Plaines 

Dixmoor 

Dixon 

Dolton 

Downers Grove 

Dupo 

Du Quoin 

Durand 

Dwight 

East Alton 

East Chicago Heights.. 

East Dubuque 

East Dundee 

East Hazel Crest 

East Moline 

East Peoria 

East Saint Louis 

Edwardsville 

Effingham 

Elbum 

Eldorado 

Elgin 

Elk Grove Village 

Elmhurst 

Elmwood 

Elmwood Park 

Erie 

Eureka 

Evanston 

Evergreen Park 

Fairbury 

Fairfield 

Fairmont City 

Fairmount 

Fairview Heights 

Farmer City 

Farmington 



Total 

police 

employees 



Total 
officers 



5,611 


12,353 


101 


78 


29 


23 


13 


8 


12 


6 


108 


91 


18 


12 


18 


14 


5 


4 


7 


6 


36 


28 


12 


7 


22 


16 


24 


21 


20 


15 


6 


5 


13 


9 


9 


8 


46 


34 


80 


67 


27 


20 


157 


125 


43 


33 


52 


43 


3 


2 


112 


95 


15 


11 


23 


20 


39 


32 


72 


54 


7 


5 


9 


8 


2 


2 


9 


5 


19 


13 


10 


6 


7 


7 


10 


9 


1 


1 


37 


31 


38 


28 


103 


77 


24 


17 


28 


22 


2 


2 


12 


8 


120 


94 


83 


74 


74 


61 


1 


I 


37 


33 


4 


3 


5 


5 


186 


146 


52 


42 


5 


5 


16 


ID 


7 


6 


1 


1 


38 


28 


5 


4 


7 


4 



266 



able 75. Number of Full-time Law Enforcement Employees, CSties, October 31, 1983 — Continued 



aty 



ILLINOIS — Continued 



sher 

lora 

iossmoor 

Drest Park 

Drest View 

j% Lake 

3X River Grove 

Dx River Valley Gardens.. 

rankfort 

ranklin Park 

reeburg 

reeport 

lUton 

alena 

alesburg 

alva 

eneseo 

eneva 

enoa 

eorgetown 

ibson CSty 

iUespie 

ilman 

irard 

lasford 

len Carbon 

lencoe 

lendale Heights 

len EUyn 

len view 

lenwood 

olf 

rafton 

ranite City 

Tayslake 

irayviUe 

rreenup 

rreenview 

rreenville 

iumee 

[amilton 

lampshire 

lanna City 

ianover Park 

larrisburg 

lartford 

larvard 

larvey 

iarwood Heights 

lavana 

iazel Crest 

lebron 

ienry 

ierrin 

ierscher 

^^ckory Hills 

rlighland 

>lighland Park 

rtighwood 

Hillsboro 

Hillside 

Hinsdale 

Hodgkins 

Hoffman Estates 

Hometown 

Homewood 

Hoopeston 

Huntley 



Total 

police 

employee 



Total 
officers 



2 

13 

20 

42 

10 

22 

7 

1 

9 

56 

4 

48 

5 

7 

62 

5 

16 
25 
9 
4 
8 
9 



12 

38 

47 

44 

70 

24 
1 
7 

54 

14 
4 
3 
1 

14 

24 
4 
4 
3 

48 

15 
6 
14 

82 

21 
9 

25 

2 

3 

13 

2 

26 

16 

66 

12 

6 

31 

32 

13 

75 

6 

46 

11 

6 



Total 
civilians 



2 

9 
15 
30 

7 
16 

7 

1 

8 
45 

4 
42 

5 

6 
47 

5 

10 
17 

5 

4 

7 

6 

3 

3 

1 

8 
30 
34 
31 
54 

17 

1 

4 
51 

9 

2 

3 
1 

8 

17 

4 

4 
1 

33 

11 
5 

10 

60 

15 
8 

19 
2 
3 

10 
2 

21 

11 

53 
8 
6 

26 

25 

12 

57 
1 

35 
91 
6l 



aty 



ILLINOIS— Continued 



15 



13 



Indian Head Park.... 

Island Lake 

Itasca 

Jacksonville 

Jerome 

Jerseyville 

Johnston City 

JoUet 

Jonesboro 

Justice 

Kankakee 

Kenilworth 

Kewanee 

Kildeer 

Kincaid 

Lacon 

La Grange 

La Grange Park 

Lake Bluff 

Lake Forest 

Lake-in-the-Hills 

Lake Villa 

Lakewood 

Lake Zurich 

Lanark 

Lansing 

La Salle 

Lebanon 

Leland Grove 

Lemont 

Leroy 

Lewistown 

Libertyville 

Lincoln 

Lincolnshire 

Lincolnwood 

Lindenhurst 

Lisle 

Litchfield 

Lockport 

Lombard 

London Mills 

Loves Park 

Lynwood 

Lyons 

Mackinaw 

Macomb 

Madison 

Mahomet 

Manhattan 

Manito 

Manteno 

Marengo 

Marion 

Marissa 

Markham 

Maroa 

Marquette Heights.. 

Marseilles 

Marshall 

Martinsville 

Maryville 

Mascoutah 

Mason City 

Matteson 

Mattoon 

Maywood 

McCook 



Total 

police 

employees 



Total 
officers 



8 
11 
26 
39 

4 
16 

5 
195 

3 
24 
74 
12 
22 

2 

1 

4 
36 
25 
12 
45 
11 



21 

1 
48 
20 

9 

4 
16 

2 

2 
38 
31 
14 
31 

8 
36 
14 
20 
62 

1 
26 
10 
23 

1 
32 

14 

3 

2 

2 

7 

13 

18 
3 

36 
2 
7 
6 

10 
2 
5 
5 
3 

32 

49 

65 

20l 



Total 
civiUans 



8 
6 
19 
31 
4 
10 
5 
162 
3 
19 
60 
10 
18 
2 
1 
3 
28 
20 
11 
33 
11 
5 
3 
14 
1 
39 
19 
6 
4 
11 
2 
2 
29 
29 
11 
30 
8 
25 
12 
15 
50 
1 
20 
9 
19 
1 
25 
10 
3 
2 
2 
7 
9 
14 
3 
27 
2 
3 
5 
7 
2 
4 
5 
3 
27 
40 
50 
16 



33 



5 

14 

2 
4 



8 

5 

1 

12 



11 
2 
5 

12 



5 
9 
15 
4 



267 



Table 75. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1983 — Continued 



City 



ILLINOIS— Continued 



McCulIom Lake .. 

McHenry 

Melrose Park 

Mendota 

Metamora 

Metropolis 

Midlothian 

Milan 

Milledgeville 

Millstadt 

Minier 

Minonk 

Minooka 

Mokena 

Moline 

Momence 

Monee 

Monmouth 

Montgomery 

Monticello 

Morris 

Morrison 

Morton 

Morton Grove 

Mount Carmel 

Mount Morris 

Mount Ohve 

Mount Prospect.... 

Mount Pulaski 

Mount SterHng 

Mount Vernon 

Mount Zion 

Mundelein 

Murphysboro 

Naperville 

Nashville 

National City 

Neoga 

New Athens 

New Baden 

New Lenox 

Newton 

Niles 

Nokomis 

Normal 

Norridge 

North Aurora 

Northbrook 

North Chicago 

Northfield 

Northlake 

North Riverside 

Oak Brook 

Oakbrook Terrace.. 

Oak Forest 

Oak Lawn 

Oak Park 

Oakwood 

Oakwood Hills 

O'Fallon 

Oglesby 

Okawville 

Olney 

Olympia Fields 

Oregon 

Orion 

Orland Park 



Total 

police 

employees 



1 

34 

61 

16 

3 

12 

27 

14 

2 

5 

3 

2 

3 

9 

80 

8 

6 

26 

13 

7 

19 

6 

16 

57 

18 

6 

3 

81 

4 

8 

38 

8 

35 

20 

81 

3 

7 

2 

3 

4 

10 

10 

62 

8 

48 

33 

II 

80 

61 

26 

29 

34 

44 

13 

38 

110 

153 

2 

2 

19 

7 

2 

19 

13 

5 

2 

49 



Total 
officers 



1 

25 

58 

13 

3 

11 

22 

10 

2 

5 

2 

2 

3 

8 

61 

7 

4 

19 

9 

6 

14 

6 

13 

44 

13 

4 

3 

62 

3 

4 

35 

7 

26 

15 

54 

3 

7 

2 

3 

4 

9 

6 

50 

4 

39 

27 

11 

54 

42 

19 

24 

26 

34 

12 

29 

93 

118 

2 

2 

14 

7 

2 

13 

12 

5 

2 

35 



Total 
civilians 



19 



City 



ILLINOIS— Continued 



27 



10 

1 

9 

17 

35 



Ottawa 

Oswego 

Palatine 

Palmyra 

Palos Heights 

Palos Hills 

Palos Park 

Pana 

Paris 

Park City 

Park Forest 

Park Forest South... 

Park Ridge 

Paxton 

Pecatonica 

Pekin 

Peoria 

Peoria Heights 

Peotone 

Peru 

Petersburg 

Phoenix 

Pinckneyville 

Pittsfield 

Plainfield 

Piano 

Polo 

Pontiac 

Pontoon Beach 

Port Byron 

Posen 

Potomac 

Princeton 

Prophetstown 

Prospect Heights 

Quincy 

Ramsey 

Rankin 

Rantoul 

Red Bud 

Richmond 

Richton Park 

Ridge Farm 

Riverdale 

River Forest 

River Grove 

Riverside 

Robbins 

Robmson 

Rochelle 

Rochester 

Rockdale 

Rock Falls 

Rockford 

Rock Island , 

Rockton 

Rolling Meadows 

Romeoville 

Roodhouse 

Roscoe 

Roselle 

Rosemont 

Rosiclare 

Rossville 

Round Lake 

Round Lake Beach .... 
14l Round Lake Heights 



Total 

police 

employees 



25 

8 

74 

1 

27 

33 

8 

12 

21 

8 

38 

19 

64 

6 

2 

56 

292 

!4 

10 

24 

4 

10 

5 

6 

11 

11 

3 

22 

9 

3 

6 

1 

11 

5 

12 



1 

24 

4 

4 

19 

1 

24 

34 

23 

22 

16 

12 

24 

5 

3 

21 

274 

108 

5 

59 

34 

4 

4 

34 

61 

2 

1 

10 

30 



Total 
officers 



23 

7 

50 

1 

22 

23 

7 

8 

17 

4 

32 

14 

49 

6 

2 

51 

209 

10 

5 

21 

4 

7 

4 

6 

9 

7 

3 

16 

5 

3 

6 

1 

10 

4 

12 

71 

2 

1 

19 

4 

4 

16 

I 

20 

27 

17 

19 

10 

10 

19 

5 

3 

16 

249 

80 

5 

40 

23 

4 

4 

26 

53 

2 

I 

6 

20 

2 



268 



,le 75. Number of Full-time Law Enforcement Employees, Cities, October 31, 1983 — Continued 



aty 



ILLINOIS— Continued 



nd Lake Park . 

ana 

t Charles 

m 

3wich 

k Village 

inna 

aumburg 

iller Park 

XA 

«r 

Ibyville 

rman 

rewood 



kie 

py HoUow 

thton 

th Barrington 

th Beloit 

th Chicago Heights . 

th Elgin 

th Holland 

th Jacksonville 

th Roxana 

rta 

ingfield 

ing Valley 

inton 

5" 

■ling 

kney 

ckton 

ne Park 

amwood 

Mtor 

•,ar Grove 

livan 



ansea 

amore 

vTiaroa 

ylorville 

omasboro 

omton 

ton 

iley Park 

wer Lakes 

emont 

enton 

oy 

iscola 

■bana 

indalia 

mice 

;rmont 

:mon Hills 

enna 

Jla Grove 

ilia Park 

irden 

arren 

'arrenville 

'arsaw 

'ashington 

'ashington Park 



Total 

police 

employees 



Total 
officers 



5 

6 

40 

19 

14 

18 

8 

129 

38 

2 

4 

14 

1 

8 

16 

140 

4 

1 

4 

11 

15 

14 

32 

4 

4 

13 

255 

13 

8 

13 

36 

16 

3 

18 

45 

28 

3 

8 

8 

14 

2 

19 

1 

6 

2 

39 

4 

3 

4 

11 

7 

50 

17 

14 

1 

23 

7 

5 

43 

7 

3 

10 

1 

15 

15 



Total 
civihans 



5 

5 

35 

14 

8 

14 

8 

95 

31 

2 

4 

9 

1 

7 

10 

115 

4 

1 

4 

8 

10 

10 

28 

4 

3 

9 

192 

9 

5 

10 

24 

13 

3 

15 

31 

23 

3 

7 

7 

13 

2 

14 

1 

5 

2 

31 

4 

3 

4 

7 

6 

42 

11 

11 

1 

16 

2 

4 

32 

4 

3 

9 

1 

12 

11 



34 



25 



City 



ILLINOIS— Continued 



63 



12 



14 



Waterloo 

Watseka 

Wauconda 

Waukegan 

Wayne 

Westchester 

West Chicago 

West City 

West Dundee 

Western Springs . ... 

West Frankfort 

Westhaven 

Westmont 

WestviUe 

Wheaton 

Wheeling 

White Hall 

Willowbrook 

Willow Springs 

Wilmette 

Wilmington 

Winfield 

Winnebago 

Winnetka 

Winthrop Harbor . 

Wood Dale 

Woodridge 

Wood River 

Woodstock 

Worth 

Yates City 

Yorkville 

Zeigler 

Zion 



INDIANA 



Alexandria 

Angola 

Auburn 

Aurora 

Bates ville 

Bedford 

Beme - 

Bloomington 

Boonville 

Brazil 

Bremen 

Brownsburg 

Bums Harbor... 
Cambridge City. 

Carmel 

Cedar Lake 

Charlestown 

Chesterfield 

Chesterton 

Clarksville 

Columbus 

Connersville 

Corydon 

Covington 

Crawfordsville... 

Crown Point 

Culver 

Decatur 



Total 

police 

employees 



Total 
officers 



6 

15 

17 

137 

2 

36 

32 

5 

13 

26 

16 

5 

44 

3 

67 

50 

5 

16 

9 

57 

10 

9 

1 

35 

11 

31 

41 

24 

31 

27 

1 

9 

2 

50 



Total 
civilians 



6 

10 

12 

107 

2 

31 

23 

4 

11 

19 

12 

5 

32 

3 

50 

38 

5 

14 

9 

42 

6 

8 

1 

25 

8 

24 

32 

18 

22 

23 

1 

8 

2 

36 



5 

5 

30 



17 
12 



15 
4 
1 



10 
3 
7 
9 
6 
9 
4 



1 
14 



13 


10 


3 


14 


10 


4 


18 


13 


5 


10 


7 


3 


9 


5 


4 


36 


31 


5 


4 


4 




80 


57 


23 


14 


13 


1 


14 


10 


4 


12 


8 


4 


18 


12 


6 


S 


5 




i\ 


4 




34 


27 


7 


15 


10 


5 


12 


8 


4 


It 


4 




18 


13 


5 


36 


30 


6 


71 


61 


10 


38 


33 


5 


fi 


6 




5 


5 




38 


27 


11 


29 


23 


6 


4 


4 




18 


15 


3 



269 



Table 75. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1983 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



INDIANA— Continued 



Dyer 

East Chicago 

Edinburg 

Elkhart 

Elwood 

Evansville 

Fairmount 

Fort Wayne 

Fowler 

Frankfort 

Garrett 

Gary 

Gas City 

Goshen 

Greendale 

Greenwood 

GnfTith 

Hammond 

Highland 

Hobart 

Huntington 

Indianapolis 

Jasonville 

Jasper 

Jeffersonville 

Kendallville 

Kokomo 

Kouts 

Lafayette 

La Porte 

Lawrence 

Lebanon 

Ligonier 

Linton 

Logansport 

Long Beach 

Loogootee 

Lowell 

Marion 

Martinsville 

Merrillville 

Michigan City 

Mishawaka 

Monticello 

Mooresville 

Muncie 

Munster 

Nappanee 

New Albany 

New Castle 

New Haven 

New Whiteland 

Noblesville 

North Manchester . 

North Vernon 

Oakland City 

Petersburg 

Plainfield 

Plymouth 

Portage 

Portland 

Princes Lakes 

Princeton 

Rensselaer 

Richmond 

Rochester 

Rushville 



INDIANA— Continued 



18 

125 

15 

115 

20 

247 

8 
345 

4 

34 

13 

297 

13 

37 

11 

41 

35 

223 

41 

39 

34 

1,257 

4 

19 

48 

16 

125 

2 
99 
35 
37 
21 

5 

14 
38 

6 

5 
15 
74 
17 
43 
94 
78 
13 
13 
138 
35 
12 
64 
44 
12 

8 
24 
13 
14 

4 

7 
23 
17 
45 
14 

2 
15 
10 
90 
12 
16 



13 
108 
10 
97 
16 
230 

4 
316 

4 
26 

8 
269 

9 
30 

7 
34 
25 
190 
34 
30 
29 
951 

4 
1 

42 

12 

100 

2 
77 
35 
32 
17 

5 

10 
33 

6 

4 
11 
70 
13 
34 
85 
69 

8 

9 
122 
28 

8 
58 
41 

8 

4 
19 
10 
10 

4 

4 
18 
14 
35 
10 

2 
14 

7 
74 



28 



306 



25 



22 



Schererville 

Scottsburg 

Sellersburg 

Seymour 

South Bend 

Speedway 

Tell City 

Terre Haute 

Tipton 

Trail Creek 

Union City 

Valparaiso 

Wabash 

Warsaw 

West Lafayette 

West Terre Haute . 

Westville 

Whiteslown 

Whitmg 

Wmchester 

Winona Lake 



Add 

Albia 

Algona 

Altoona 

Ames 

Anamosa 

Ankeny 

Atlantic 

Audubon 

Belle Plaine 

Belmond 

Bettendorf 

Bloomfield 

Boone 

Burlington 

Camanche 

Cariisle 

Carroll 

Carter Lake 

Cedar Falls 

Cedar Rapids... 

Centerville 

Chariton 

Charles City .... 

Cherokee 

Clarinda 

Clarion 

Clear Lake 

Clinton 

Chve 

Coralville 

Council Bluffs 

Cresco 

Creston 

Davenport 

Decorah 

Denison 

Des Moines 

De Witt 

Dubuque 

Dyersville 

Eagle Grove .... 
Eldora 



IOWA 



24 

12 

11 

26 

282 

32 

14 

136 

9 

4 

II 

49 

26 

33 

33 

8 

3 

I 

27 

12 



18 

8 

7 

20 

237 

25 

9 

119 

9 

4 

7 

35 

25 

25 

28 

4 

3 

I 

22 



4 


4 


U 


6 


16 


10 


8 


7 


60 


48 


6 


5 


26 


20 


14 


13 


4 


4 


3 


3 


4 


4 


40 


30 


11 


7 


16 


15 


45 


34 


6 


6 


4 


4 


15 


14 


7 


7 


52 


44 


201 


157 


16 


11 


13 


8 


16 


13 


11 


10 


11 


10 


6 


6 


19 


13 


49 


44 


12 


8 


21 


19 


121 


95 


7 


7 


13 


9 


186 


147 


17 


12 


16 


11 


438 


326 


6 


6 


86 


76 


8 


5 


8 


7 


5 


5 



270 



rable 75. Number of Full-time Law Enforcement Employees, Cities, October 31, 1983 — Continued 



City 



IOWA— Continued 



Eldridge 

Emmetsburg.. 

lEstherville 

Evansdale 

iFairfield 
Forest City . 
Fort Dodge.. 
Fort Madison . 
Gamer 

Glenwood 

Grinnell 

Grundy Center... 

,' Hampton 

Harlan 

Hawarden 

Hiawatha 

Humboldt 

I Independence 

I Indianola 

Iowa City 

i Iowa Falls 

I Jefferson 

Johnston 

Keokuk 

Knoxville 

Le Claire 

Le Mars 

Manchester 

Maquoketa . 

Marion 

Marshalltown 

Mason City 

Missouri Valley 

Monticello 

Mount Pleasant 

Mount Vernon... 

Muscatine 

Nevada 

New Hampton... 

Newton 

Norwalk 

Oelwein 

Onawa 

Orange City 

Osage 

Osceola 

Oskaloosa 

Ottumwa 

Pella 

Perry 

Pleasant Hill 

Red Oak 

Rock Rapids 

Rock Valley 

Sac City 

Sheldon 

Shenandoah 

Sioux Center 

Sioux City 

Spencer 

Spirit Lake 

Storm Lake 

Story City 

Tama 

Tipton 

Urbandale 

Vinton 

Washington 

Waterloo 

Waukee 



Total 

police 

employees 



Total 
officers 



5 

5 
12 

9 
12 

8 
50 
31 

5 

8 
12 

4 
13 

9 

4 
8 

15 
15 
63 
14 



33 
15 

6 
12 
13 
13 
29 
49 
56 

4 

9 
10 

4 
40 

6 

6 
28 

4 
15 

5 

4 

6 

8 
23 
41 

12 

14 

8 

13 

3 

4 

4 

9 

10 

5 

141 

25 
7 

13 
3 
4 
3 

34 

7 

9 

157 

4l 



Total 
civihans 



4 

4 

8 
II 
11 
54 
II 

8 

7 
26 
11 

4 
12 

8 
10 
23 
40 
43 

4 

6 

10 

4 
32 

6 
6 

24 
4 

II 
5 
4 
6 
8 

17 

35 



13 
3 
4 
4 
6 
9 
5 
102 

18 
6 

12 
3 
4 
3 

28 
7 
9 

135 
4 



City 



IOWA— Continued 



Waukon 

Waverly 

Webster City 

West Burlington . 
West Des Moines 
West Union 
Windson Heights 
Winterset 



22 



Abilene 

Anthony 

Arkansas City.... 

Anna 

Atchison 

Augusta 

Baldwin City 
Basehor 
Baxter Springs 

Belleville 

Beloit 

Bonner Springs. 
Burlington 

Caney 

Chanute 

Cheney 

Cherryvale 

Clay Center 

Clearwater 

Coffey ville 

Colby 

Columbus 

Colwich 

Concordia 

Council Grove 

Derby 

Dodge City 

Downs 

Edwardsville ..... 

El Dorado 

Elkhart 

Ellinwood 

Ellis 

Ellsworth 

Emporia 

Ensign 

Erie 

Eudora 

Eureka 

Fairway 

Florence 

Fort Scott 

Frankfort 

Fredonia 

Frontenac 

Galena 

Garden City 

Gardner 

Gamett 

Girard 

Goddard 

Goodland 

Great Bend 

Harper 

Hays 

Haysville 

Herington 

Hesston 

Hiawatha 

I HiUsboro 



KANSAS 



Total 

police 

employees 



Total 
officers 



14 

9 

31 

3 

23 

21 

3 

1 

8 

4 

12 

15 

7 

9 

24 

2 

5 

6 

4 

33 

16 

6 

I 

9 

5 

20 

35 



10 
55 

5 
II 

4 

2 

14 
44 

3 
30 
1 
10 

5 
11 

4 



Total 
civilians 



22 
3 
18 

17 

3 

1 

7 

4 

8 
13 

5 

5 
20 

2 

5 

6 

4 
24 
12 

6 
1 
9 
5 

16 

27 
2 
5 

36 
4 
5 
4 
4 

39 
1 
3 
3 
4 
6 
I 

15 
I 
6 
4 
6 

35 
4 



19 



1 
4 
4 
20 
I 
4 



4 




t 




9 




33 


11 


3 




27 




12 




5 




5 




6 




4 





271 



Table 75. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1983 — Continued 



City 



KANSAS— Continued 



Hoisington 

Horton 

Humboldt 

Hutchinson 

Independence 

lola 

Junction City 

Kansas City 

Kingman 

Kinsley 

Kiowa 

LaCrosse 

Lansing 

Lamed 

Lawrence 

Leavenworth 

Leawood 

Lenexa 

Liberal 

Lyons 

Maize 

Manhattan 

Marysville 

McPherson 

Medicine Lodge.... 

Merriam 

Minneapolis 

Mission 

Mount Hope 

Mulvane 

Neodesha 

Newton 

Norton 

Oakley 

Olathe 

Osage City 

Osawatomie 

Osborne 

Ottawa 

Overland Park 

Paola 

Park City 

Parsons 

Phillipsburg 

Pittsburg 

Plainville 

Prairie Village 

Pratt 

Roeland Park 

Russell 

Sabetha 

Salina 

Scott City 

Sedan 

Seneca 

Shawnee 

Silver Lake 

South Hutchinson.. 

Spring Hill 

Sterling 

Stockton 

Tonganoxie 

Topeka 

Valley Center 

Wa Keeney.-.. 

Wamego 

Wellington 

Wellsville 

Westwood 



Total 

police 

employees 



8 

5 

62 

22 

20 

65 

420 

10 

4 

2 

3 

5 

II 

98 

56 

33 

63 

36 

7 

1 

87 

6 

23 

5 

21 

5 

15 

I 

II 

6 

21 

6 

9 

6S 

5 

12 

4 

35 

125 

13 

4 

30 

5 

38 

4 

45 

15 

9 

12 

5 

65 

10 

7 

4 

50 

I 

5 

4 

4 

4 

2 

302 

9 

4 

10 

16 

3 

7 



Total 
officers 



4 

5 

5 

54 

18 

15 

47 

291 

6 

4 

2 

3 

5 

II 

79 

39 

23 

38 

26 

7 

1 

64 

6 

23 

5 

19 

5 

14 

1 

7 

6 

17 

6 

9 

54 

5 

7 

4 

27 

98 

13 

3 

24 

5 

25 

4 

35 

14 

9 

12 

5 

58 

5 

4 

4 

40 

1 

. 5 

4 

3 

4 

2 

217 

5 

4 

5 

13 

3 

6 



Total 
civihans 



City 



23 



27 



10 



10 



KANSAS— Continued 



Wichita 

Winfield 

Yates Center. 



KENTUCKY 



Adairville 

Albany 

Alexandria 

Anchorage 

Ashland 

Auburn 

Audubon Park... 

Augusta 

Barbourville 

Bardstown 

Beattyville 

Beaver Dam 

Bellevue 

Benton 

Berea 

Bloomfield 

BowUng Green .. 

Brandenburg 

Burgin 

Burkesville 

Bumside 

Butler 

Cadiz 

Calhoun 

Calvert City 

Campbellsburg ... 

Campbellsville.... 

Carlisle 

Carrollton 

Catlettsburg 

Cave City 

Central City 

Clarkson 

Clay City 

Clinton 

Cloverport 

Cold Spring 

Columbia 

Corbin 

Corydon 

Covington 

Cumberland 

Cynthiana 

Danville 

Dawson Springs.. 

Dayton 

Douglas Hills 

Dry Ridge 

Edgewood 

Edmonton 

Elizabethtown 

Elkton 

Elsmere 

Eminence 

Erlanger 

Evarts 

Falmouth 

Flatwoods 

Fleming-Neon ..... 

Flemingsburg 

Fort Mitchell 

Fort Thomas 

Fort Wright 



Total 

police 

employees 



564 

23 

4 



Total 
officers 



418 

20 

4 



I 


I 


5 


4 


4 


4 


10 


7 


61 


55 


I 


I 


1 


1 


3 


2 


12 


8 


16 


13 


3 


3 


3 


3 


9 


9 


8 


6 


18 


14 


4 


2 


85 


71 


3 


3 


1 


I 


6 


4 


2 


2 


I 


1 


8 


4 


1 


1 


3 


2 


5 


5 


13 


10 


5 


4 


10 


9 


6 


6 


5 


5 


7 


7 


I 


I 


I 


I 


3 


3 


2 


2 


3 


3 


9 


5 


18 


15 


I 


I 


114 


96 


10 


7 


19 


16 


29 


24 


8 


5 


6 


6 


1 


I 


I 


I 


9 


8 


4 


4 


30 


22 


3 


3 


8 


7 


4 


4 


21 


17 


3 


3 


7 


7 


II 


7 


6 


2 


6 


6 


II 


11 


22 


21 


5 


5 



Total 
civilians 



272 



ible 75. Number of Full-time Law Enforcement Employees, Cities, October 31, 1983 — Continued 



aty 



KENTUCKY— Continued 



ankfort 

anklin 

jilton 

porgetown 

asgow 

rayson 

^eensburg 

reenup... 

reenville 

uthrie 

irdinsburg 

arlan 

irrodsburg 

artford 

iwesviUe... 

enderson 

ickman 

iighland Heights 

indm&n 

JDdgenviUe 

opkinsville 

orse Cave 

iistonviUe 

dependence 

vine 

vington 

ckson 

mestown 

ffersontown 

nction City 

1 Center 

1 Grange 

incaster 

iwrenceburg 

;banon 

;itchfield 

;wisburg 

swisport 

exington 

iberty 

iverraore 

ondon 

ouisa 

ouisviUe 

oyall 

udlow 

ladisonville 

lanchester 

larion 

lartin 

layfield 

laysville 

liddlesboro 

ionticello 

forehead 

^organfield 

*lorgantown 

tlount Sterling 

ilount Vernon 

4ount Washington.. 

kluldraugh 

ilunfordville 

Murray 

^ew Haven 

Newport 

^Jicholasville 



Total 

pohce 

employees 



56 

14 

9 

22 

28 

7 

8 

2 

7 

3 

4 

13 

18 

3 

1 

51 

7 

4 

1 

10 

48 

2 



12 



6 

38 

4 

1 

4 

9 

12 

18 

14 

2 

2 

441 

5 

1 

10 

6 

876 

1 

11 

37 



Total 
officers 



Total 
civilians 



47 

10 

7 

15 

22 

7 

5 

2 

7 

3 

4 

9 

12 

3 

1 

44 

5 

4 

1 

5 

43 

2 

1 

6 

8 

2 

7 

5 

29 

4 

1 

4 

9 

8 

13 

11 

1 

2 

334 

5 

1 

10 

6 

670 

1 

7 

32 



6 


5 


6 


6 


2 


1 


28 


23 


26 


20 


23 


19 


10 


5 


20 


15 


10 


7 


5 


5 


20 


14 


5 


5 


5 


5 


2 


2 


2 


2 


28 


22 


5 


1 


52 


42 


23 


19 



City 



KENTUCKY— Continued 



107 



206 



Nortonville 

Olive Hill 

Owensboro 

Owenton 

Owingsville 

Paducah 

Paintsville 

Paris 

Park City 

Park Hills 

Perryville 

Pewee Valley 

Pineville 

Prestonsburg 

Princeton 

Prospect 

Raceland 

Radcliff 

Ravenna 

Richmond 

Russell Springs.. 

Russellville 

Saint Matthews.. 

Salyersville 

Scottsville 

Sebree 

Shelby ville 

Shepherdsville .... 

Somerset 

Southgate 

Springfield 

Stanford 

Stanton 

Sturgis 

Taylor Mill 

Taylorsville 

Tompkinsville ... 

Uniontown 

Vanceburg 

Versailles 

Villa Hills 

Vine Grove 

Walton 

Warsaw 

West Buechel... 

West Point 

Wheelwright 

Whitesburg 

Wilder 

Williamsburg 

Williamstown... 

Wilmore 

Winchester 

Wingo 

Worthington .... 
Wurtland 



IC 



Alexandria 

Baldwin 

Ball 

Bastrop 

Baton Rouge . 

Berwick 

Bogalusa ........ 



LOUISIANA 



Total 

police 

employees 



Total 
officers 



1 

5 
123 

2 

3 
70 
15 
20 

2 

5 

1 

2 

9 
12 
11 

5 

2 
20 

1 
37 

5 
18 
19 

2 

14 
1 

13 

3 

29 

4 
9 
5 
5 
4 
3 
3 
8 
2 
4 

IS 
1 
5 
1 
2 
4 
2 
1 
4 
3 
8 
2 
3 

34 
1 
4 
2 



130 

4 

4 

35 

693 

10 

43 



Total 
civilians 



1 

2 
97 

2 

3 
64 
13 
16 

2 

4 

1 

2 

9 
12 
11 

5 

2 
16 

1 
31 

5 

14 

17 
1 

10 
1 

12 
3 

24 
4 
5 
5 
5 
4 
3 
3 
5 
2 
4 

12 
1 
5 
1 
2 
4 
2 
1 
4 
3 



3 
26 



3 




27 


7 


1 




2 


2 


1 


1 


112 


18 


4 




4 




32 


3 


597 


96 


in 




36 


7 



273 



Table 75. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1983 — Continued 



City 



LOUISIANA— Continued 



Bossier City 
Breaux Bridge 

Bunkie 

Church Point 

CoIHnston 

Crowley 

Denham Springs . 

De Quincy 

De Ridder 

Donaldsonville 

Eunice 

Fannerville 

Franklin 

Franklinton 

Golden Meadow .. 

Gonzales 

Harahan 

Haynesville 

Homer 

Houma 

Jeanerette 

Jennings 

Kenner 

Kentwood 

Kinder 

Lafayette 

Lake Charles 

Lake Providence.. 

Leesville 

Lockport 

Loreauville 

Mamou 

Mandeville 

Mansfield 

Mmden 

Monroe 

Morgan City 

Natchitoches 

New Iberia 

New Orleans 

Oakdale 

Patterson 

Pineville 

Ponchatoula 

Port Allen 

Ruston 

Saint MartinviUe... 

Shreveport 

Simmesport 

Springhill 

Sulphur 

Tallulah 

Vidalia 

Ville Platte 

Vinton 

Vivian 

Welsh 

Westlake 

West Monroe 

Westwego 

Winnfield 

Zachary 



MAINE 



Total 

police 

employees 



Ashland . 
Auburn .. 
Augusta . 



136 
18 
12 
15 
I 
33 
22 
9 
20 
18 
35 
13 
23 
13 
9 
30 
24 
7 
10 
72 
13 
28 
121 
10 
6 
211 
138 
15 
28 
6 
1 
12 
20 
12 
23 
148 
56 
43 
73 
1,815 
17 
13 
29 
12 
21 
36 
20 
479 
4 
11 
33 
21 
13 
28 
12 
14 
9 
14 
53 
18 
15 
19 



Total 
officers 



103 
18 
12 
15 
1 
32 
22 
9 
20 
18 
34 
13 
22 
13 
8 
30 
21 
7 
10 
51 
13 
28 
110 
10 
6 
164 
131 
15 
28 
6 
1 
12 
20 
12 
22 
110 
46 
42 
63 
1.416 
17 
13 
29 
12 
20 
30 
20 
400 
4 
11 
24 
21 
13 
28 
8 
9 
9 
14 
50 
18 
15 
19 



Total 
civilians 



33 



21 



47 

7 



10 
399 



79 



City 



MAINE— Continued 



Baileyville 

Bangor 

Bar Harbor 

Bath 

Belfast 

Berwick 

Biddeford 

Boothbay Harbor... 

Brewer 

Bridgton 

Brunswick 

Bucksport 

Buxton 

Calais 

Camden 

Cape Elizabeth 

Caribou 

Cumberland 

Damariscotta 

Dexter 

Dixfield 

Dover-Foxcroft 

East Millinocket 

Eliot 

Ellsworth 

Fairfield 

Falmouth 

Farmington 

Fort Fairfield 

Fort Kent 

Freeport 

Gardiner 

Gorham 

Hallowell 

Hampden 

Houlton 

Jay 

Kennebunk 

Kennebunkport 

Kittery 

Lebanon 

Lewiston 

Limestone 

Lincoln 

Lisbon 

Livermore Falls 

Machias 

Madawaska 

Madison 

Mechanic Falls 

Mexico 

Millinocket 

Milo 

Monmouth 

Mount Desert 

Newport 

Norridgewock 

North Berwick 

Norway 

Oakland 

Ogunquit 

Old Orchard Beach.. 

Old Town 

Orono 

Paris 

Pittsfield 

Portland 

Presque Isle 

Richmond 



Total 

police 

employees 



5 

74 
9 

24 

13 
7 

46 

10 

22 
6 

37 
8 
1 

10 

13 

14 

16 
6 
3 
4 
2 
4 
5 
6 

13 
8 

16 
9 
5 
8 

12 
8 

10 
5 

7 
17 

6 
15 
10 
20 

3 
77 

4 

7 
14 

5 

4 

6 

5 

3 

5 
14 

2 

1 

8 

3 

2 

5 

5 

6 

6 
13 
18 
13 

4 

8 

193 

22 

4 



Total 
officers 



5 

63 
8 

17 
9 
6 

37 
6 

17 
5 

31 
6 
1 
8 
9 

10 

14 
5 
3 
4 
2 
4 
. 5 
6 
9 
7 

12 
8 
5 



Total 
civilians 



4 


4 


9 


3 


8 




10 




5 




7 




12 


5 


6 




10 


5 


6 


4 


15 


5 


1 




68 


9 


4 




7 




10 


4 


5 




4 




5 


1 


5 




1 




5 




11 


3 


2 
1 




4 


4 


3 




? 




5 




5 




5 


1 


6 




9 


4 


13 


5 


8 


5 


4 




4 


4 


147 


46 


21 


1 


4 





274 



able 75. Number of Full-time Law Enforcement Employees, Cities, October 31, 1983 — Continued 



City 



MAINE— Continued 



ockland 

ockport 

umford 

ibattus 

ICO 

anford 

;arborough 

kowhegan 

outh Berwick 

outh Portland 

outhwest Harbor.. 
'"homaston 

opsham 

an Buren 

/aldoboro 

/ashbum 

i/aterville 

Veils 

Vestbrook 

l/ilton 

l/indham 

it'inslow 

(I'inthrop 

^iscasset 

'armouth 

'ork 



MARYLAND 



iberdeen 

Lnnapolis 

laltimore 

taltimore City Sheriff.. 

lei Air 

terlin 

terwyn Heights 

iladensburg 

Jrunswick 

;;ambridge 

i^apitol Heights 

>ntreville 

;hestertown 

rheverly 

^Imar Manor 

Cottage City 

Crisfield 

Cumberland 

Dehnar 

Denton 

District Heights 

Easton 

Edmonston 

Elkton 

Emmitsburg 

Fairmount Heights 

Federalsburg 

Forest Heights 

Frederick 

Frostburg 

Fruitland 

Glenarden 

Grantsville 

Greenbelt 



Total 

pohce 

employees 



Total 
officers 



20 
4 

14 
3 

23 

35 

20 

14 
9 

48 
3 
3 

13 
3 
5 
2 

35 
11 

30 



38 

124 

1,586 

124 

28 

6 

1 

19 

9 

41 

1 

7 

9 



15 

62 

6 

6 

7 

30 

2 

19 

3 

1 

6 

6 

78 

17 

4 



Total 
civihans 



341 



16 

4 

14 

3 

18 

27 

16 

12 

5 

45 

3 

3 

10 

3 

4 

2 

30 

10 

26 

4 

11 

6 

7 

6 

9 

16 



3 

97 

3,056 

117 

22 
5 
1 

14 
8 

33 



2 
4 
9 

55 
5 
6 
6 

24 
2 

15 
3 
1 
6 
5 

65 

13 
4 
2 
1 

27 



City 



MARYLAND— Continued 



27 
530 



Greensboro 

Hagerstown 

Hampstead 

Hancock 

Havre De Grace .. 

Hurlock 

Hyattsville 

Landover Hills 

La Plata 

Laurel 

Lonaconing 

Luke 

Manchester 

Momingside 

Mount Rainier 

New Windsor 

North Beach 

North East 

Oakland 

Ocean City 

Ocean Pines 

Oxford 

Pocomoke City... 

Port Deposit 

Preston 

Princess Anne 

Ridgely 

Rising Sun 

Riverdale 

Rock Hall 

Saint Michaels 

Salisbury 

Snow Hill 

Sparrows Point.... 

Sykesville 

Takoma Park 

Taneytown 

Thurmont 

University Park.. 
Upper Marlboro. 

Westemport 

Westminster 

Williamsport 



MASSACHUSETTS 



Acton 

Acushnet 

Adams 

Agawam 

Amesbury 

Amherst 

Andover 

Arlington 

Ashbumham . 

Ashby 

Ashfield 

Ashland 

Athol 

Auburn 

Avon 

Ayer 

Barnstable 

Bedford 



Total 

police 

employees 



2 
107 

2 

4 
25 

5 
28 



Total 
officers 



95 

15 
2 

15 
4 
2 
5 
2 
4 

12 
3 
5 

58 
6 

72 
5 

38 
5 
4 
7 
1 
5 

25 
2 



28 
15 
29 
48 
26 
34 
58 
88 
4 
I 
1 
18 
20 
23 
12 
15 
84 
23 



Total 
civilians 



2 
90 

2 

3 
20 

5 
21 



4 
74 

15 
2 

11 
3 
2 
5 
2 
3 
7 
3 
5 

49 
6 

69 
5 

33 
4 
4 
7 
1 
5 

20 
2 



27 
13 
29 
42 
25 
32 
45 
77 
4 



17 



12 



21 



6 
1 

2 
13 
11 



275 



Table 75. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1983 — Continued 



City 



MASSACHUSETTS— Continued 



Belchertown 

Bellingham 

Belmont 

Berlin 

Beverly 

Billerica 

Blackstone 

Bolton 

Boston 

Bourne. 

Boxboro 

Boxford 

Boylston 

Braintree 

Brewster 

Bridgewater 

Brockton 

Brookfield 

Brookline 

Burlington 

Cambridge 

Canton 

Charlton 

Chatham 

Chelmsford 

Chelsea 

Chicopee 

Clinton 

Dalton 

Danvers 

Dedham 

Deerfield 

Dennis 

Dighton 

Douglas 

Dover... 

Dracut 

Dudley 

Duxbury 

East Bridgewater... 

Eastham 

Easthampton 

East Longmeadow . 

Easton 

Essex 

Everett 

Fall River 

Falmouth 

Fitchburg 

Foxboro 

Framingham 

Franklin 

Freetown 

Gardner 

Gay Head 

Georgetown 

Grafton 

Granby 

Great Barrington..., 

Groveland 

Hadley 

Hamilton.. 

Hampden 

Hanson 

Hardwick 

Harvard 



Total 

police 

employees 



11 

25 

65 

3 

69 

68 

13 

9 

2,163 

34 

5 

9 

9 

85 

16 

26 

198 

1 



Total 
officers 



8 
21 
62 

3 
68 
56 
10 

5 

1,846 

31 

5 

8 

5 

77 

14 

26 

184 

1 



Total 

civihans 



155 


144 


58 


54 


290 


264 


40 


38 


12 


9 


24 


22 


58 


52 


79 


70 


123 


120 


20 


18 


15 


14 


44 


39 


63 


62 


4 


4 


42 


34 


8 


8 


9 


6 


16 


14 


36 


34 


15 


11 


28 


26 


22 


21 


14 


11 


26 


25 


26 


24 


29 


28 


6 


6 


93 


S9 


260 


221 


63 


59 


76 


71 


25 


24 


110 


100 


32 


27 


11 


11 


33 


33 


3 


3 


11 


7 


18 


18 


10 


8 


14 


14 


14 


8 


5 


3 


14 


13 


11 


7 


19 


15 


1 


1 


9 


5 



City 



317 



39 



10 



MASSACHUSETTS— Continued 



Harwich 

Haverhill 

Hingham 

Holden 

Holland 

Holliston 

Hopedale 

Hopkinton 

Hubbardston 

Hudson 

Hull 

Ipswich 

Lakeville 

Lanesboro 

Lawrence 

Lee 

Leicester 

Leominster 

Lexington 

Leyden 

Littleton 

Longmeadow 

Lowell 

Ludlow 

Lunenburg 

Lynn 

Lynnfield 

Maiden 

Manchester 

Mansfield 

Marblehead 

Marion 

Marlborough 

Marshfield 

Mashpee 

Mattapoisett 

Maynard 

Medfield 

Medford 

Medway 

Melrose 

Mendon 

Merrimac 

Methuen 

Middleboro 

Milford 

Millbury 

MiUis 

Milton 

Monson 

Montague 

Monterey 

Nahant 

Nantucket 

Natick 

Needham 

New Bedford 

Newbury 

Newbury port 

Newton 

Norfolk 

North Adams 

Northampton 

North Andover.-. 
North Attleboro . 

Northboro 

Northbridge 



Total 

pohce 
employees 



Total 

officers 



29 


27 


105 


98 


50 


47 


18 


12 


13 


13 


20 


20 


5 


5 


14 


10 


2 


1 


31 


30 


32 


27 


22 


21 


18 


13 


3 


3 


149 


131 


6 


6 


14 


10 


62 


57 


61 


54 


3 


3 


11 


11 


30 


29 


191 


173 


28 


27 


11 


11 


151 


142 


27 


21 


116 


104 


15 


13 


22 


20 


40 


38 


10 


10 


52 


49 


47 


42 


21 


17 


14 


14 


22 


21 


18 


15 


131 


123 


17 


13 


60 


57 


5 


5 


8 


4 


60 


53 


41 


33 


33 


33 


19 


18 


25 


9 


58 


55 


15 


11 


14 


13 


4 


4 


11 


10 


15 


10 


61 


55 


58 


54 


259 


230 


5 


5 


33 


31 


224 


204 


12 


12 


34 


32 


53 


46 


30 


29 


46 


40 


22 


17 


17 


15 



Total 
civilians 



9 
6 
12 

2 
2 
2 



1 
16 

3 
4 
1 



1 
5 
6 
4 
29 



2 
20 



276 



,Ie 75. Number of Full-time Law Enforcement Employees, CSties, October 31, 1983— Continued 



City 



MASSACHUSETTS— Continued 



Total 

police 

employees 



Total 
officers 



5 
1 
24 
21 
71 
9 
10 
21 
18 
18 
89 
25 
11 
25 
95 
14 
19 
231 
18 
44 
21 
105 
1 
19 
8 
79 
27 
54 
35 
29 
23 
3 
8 
9 
9 
36 
34 
142 



16 

31 

23 

15 

13 

530 

6 

45 

49 

12 

11 

30 

10 

35 

31 

93 

6 

11 

10 

11 

11 

49 

39 

15 

37 

24 

27 

53 

14 

26 



Total 
civilians 



4 
1 

23 

19 

61 
8 
9 

19 

13 

15 

82 

24 

10 
7 

87 

12 

17 

196 

13 

42 
16 

105 

1 

18 

4 

77 

25 

51 

27 

25 

22 

2 

2 

9 

8 

31 

30 

135 



U 

29 

23 

11 

10 

454 

6 

43 

46 
8 
7 

29 
9 

33 

27 

88 

5 

10 
9 
7 
10 
47 
37 
14 
35 
22 
25 
53 
10 
26 



10 



18 



2 
35 
5 
2 
5 



City 



MASSACHUSETTS— Continued 



West Boylston 

West Bridgewater. 

Westfield 

Westford 

Westminster 

Weston 

Westport 

West Springfield... 

Westwood 

Weymouth 

Wilbraham 

Williamstown 

Wilmington 

Winchendon 

Winchester 

Winthrop 

Wobum 

Worcester 

Worthington 

Yarmouth 



MICHIGAN 



76 



Adrian 

Akron 

Albion 

Algonac 

Allegan 

Allen Park 

Alma 

Almont 

Alpena 

Ann Arbor 

Argentine Township. 

Armada 

Atlas Township 

Auburn 

Augusta 

Bad Axe 

Bangor 



Barry Township 

Bath Township 

Battle Creek 

Bay City 

Beaverton 

Bedford Township 

Belding 

Bellaire 

Belleville 

Benton Harbor 

Benton Township 

Berkley 

Berrien Springs-Oronokc. 

Beverly Hills 

Big Rapids 

Birch Run 

Birmingham 

Blackman Township 

Blissfield 

Bloomfield Hills 

Bloomfield Township 

Bloommgdale 

Boyne City 

Breckenridge 

Bridgeport Township 

Bridgman 

Brighton 

Bronson 

Brooklyn 



Total 

pohce 

employees 



Total 
officers 



10 
17 
70 
28 
5 
25 
22 
71 
32 

114 
24 
13 
37 
11 
49 
39 
73 

466 

6 

50 



37 
1 

38 
7 
g 

54 

18 
3 

21 
181 
2 
3 
2 
2 
2 
5 
4 
1 
2 
7 

118 

84 

2 

7 

8 

1 

9 

27 

22 

36 

9 

29 

16 

1 

44 

27 

5 

28 

85 

1 



Total 
civilians 



9 
16 
66 

22 
5 
22 
21 
67 
30 

105 
23 
10 
35 
10 
43 
38 
69 

369 

6 

41 



31 
1 

34 
6 
8 

51 

14 
3 

21 
149 
2 
3 
2 
2 
2 
5 
4 



100 

77 

2 

5 

8 

1 

8 

22 

20 

26 

8 

26 

14 

1 

34 

19 

4 

24 

71 



10 


6 


3 


3 


6 


5 


4 


4 


11 


10 


5 


5 


1 


1 



3 
I 
4 
2 
9 
1 
3 
2 
1 
6 
1 
4 
97 



32 



1 
18 

7 



1 
5 
2 
10 
1 
3 
2 



10 

8 

1 

4 

14 



277 



Table 75. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1983 — Continued 



City 



MICHIGAN— Continued 



Brownstown Township ., 

Buchanan 

Buena Vista Charter Township.. 

Burr Oak 

Burton 

Byron 

Cadillac 

Calumet 

Cambridge Township 

Camden _ 

Canton Township 

Capac 

Carleton 

Caro 

Carrollton Township 

Carsonvilie 

Caseville 

Caseville Township 

Cass City 

Cassopolis 

Cedar Springs 

Cement City 

Center Line 

Charlevoix 

Charlotte 

Cheboygan 

Chelsea 

Chesaning 

Chesaning Township 

Chesterfield Township 

Chikaming Township 

Chocolay Township 

Clare 

Clawson 

Clay Township 

Clinton Township 

Clio- Vienna 

Coldwater 

Coleman 

Coloma 

Coloma Township 

Columbia Township 

Concord-Pulaski 

Constantine 

Coopersville 

Corunna 

Covert Township 

Croswell 

Crystal Falls 

Davison 

Davison Township 

Dearborn 

Dearborn Heights 

Decatur 

Deckerville 

Detroit 

De Witt 

De Witt Township 

Douglas 

Dowagiac 

Dryden 

Durand 

East Detroit 

East Grand Rapids 

East Jordan 

East Lansing 

East Tawas 

Eaton Rapids... 



Total 

police 

employees 



5 
6 
5 
1 
30 
7 

19 
9 
8 
4 
1 

4 

1 

3 

8 

21 

14 

67 

7 

18 
2 
4 



Total 
officers 



Total 
civilians 



17 
10 
16 

I 
29 

1 
15 

2 
1 

33 
3 
1 

7 
3 



8 


6 


4 


4 


5 


5 


4 


4 


4 


4 


4 


4 


6 


6 


3 


3 


5 


5 


9 


7 


9 


8 


226 


184 


102 


91 


5 


5 


4,432 


3,808 


5 


4 


13 


11 


3 


3 


20 


15 


3 


3 


9 


5 


54 


48 


20 


16 


5 


4 


68 


51 


2 


2 


11 


10 



624 



City 



MICHIGAN— Continued 



Eau Claire 

Ecorse 

Elk Rapids 

Ellsworth 

Elkton 

Elsie 

Emmett Township 

Erie Township 

Escanaba 

Essexville 

Evart 

Fairgrove 

Farmington 

Farmington Hills 

Farwell 

Fenton 

Femdale 

Ferrysburg 

Flat Rock 

Flint 

Flint Township 

Flushing Township 

Forsyth Township 

Frankenmuth 

Frankfori 

Franklin 

Fraser 

Fremont 

Frost Township 

Galesburg 

Garden City , 

Gaylord 

Genesee Township 

Gibraltar 

Gladstone 

Gladwin 

Gobies 

Grand Beach 

Grand Blanc Township.. 

Grand Haven 

Grand Ledge 

Grand Rapids 

Grandville 

Grant 

Grass Lake 

Green Oak Township 

Greenville 

Grosse Isle Township 

Grosse Pointe 

Grosse Pointe Farms 

Grosse Pointe Park 

Grosse Pointe Shores 

Grosse Pointe Woods 

Hamburg Township 

Hampton Township 

Hamtramck 

Hancock 

Harbor Beach 

Harbor Springs 

Harper Woods 

Harrison 

Hart 

Hartford 

Hastings 

Hazel Park 

Hesperia 

Highland Park 

Hillsdale 

Holland 



Total 

police 

employees 



2 

37 

3 

2 

2 

1 

6 

1 

43 

11 

3 

I 

30 

97 

3 

14 

56 

3 

19 

386 

10 

2 

4 

4 

4 

7 

44 

5 

2 

1 

57 

7 

7 

15 

13 

3 

I 

2 

31 

28 

14 

334 

18 

2 



I 
1 

31 

29 

34 

20 

63 

7 

II 

48 

9 

4 

5 

41 

7 

3 

7 

16 

42 

1 

63 

15 

57 



Total 
officers 



2 
36 
3 
2 
2 
1 
5 

36 

8 

3 

1 

23 

64 

2 

10 

50 

3 

18 

328 



2 

4 

4 

4 

7 

36 

5 

1 

1 

40 

6 

6 

14 

13 

3 

1 

2 

25 

20 

14 

260 

16 

2 

2 

7 

14 

14 

26 

25 

30 

17 

42 

6 

10 

48 

6 

4 

4 

34 

7 

3 

6 

12 

35 

1 

54 

11 

49 



278 



rable 75. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1983 — Continued 



City 



MICHIGAN— Continued 



Mly 

iomer 

loughton 

ioward Township 

^owell 

iudson 

iudsonville 

iuntington Woods 

iuron Township 

mlay City 

nkster 

onia 

ron Mountain 

ron River 

ronwood 

shpeming 

thaca 

ackson 

onesville 

Calamazoo 

Calamazoo Township 

Calkaska 

Ceego Harbor 

Centwood 

Cingsford 

Cinross Township 

^aingsburg 

^ake Linden 

..ake Odessa 

^ake Orion 

.akeview 

-'Anse 

.ansing 

.ansing Township 

^peer 

^thrap Village 

murium 

^awrence 

^awton '. 

Lennon 

Leoni Township 

Leslie 

Lexington 

Lincoln Park 

Linden 

Litchfield 

Livonia 

Lowell 

Ludington 

Luna Pier 

Mackinac Island 

Mackinaw City 

Madison Heights 

Mancelona 

Manchester 

Manistee 

Manistique 

Maple Grove Township 

Marcellus 

Marine City 

Marlette 

Marquette 

Marshall 

Marysville 

Mason 

Mattawan 



Total 

police 

employees 



Total 
officers 



12 
3 
8 

2 

13 

4 
2 

21 

10 
8 

60 

15 

12 
6 

16 

12 
3 

91 

3 

346 

35 
3 
6 

37 

1 
4 
1 
1 
3 
7 
2 
4 
312 

16 

17 

11 
5 
2 
4 
I 
4 
5 
4 

68 

3 

3 

163 

5 

1 
4 
4 
5 

63 
4 
6 
16 
11 
4 
2 
9 
3 

38 
18 
14 
9 
2 



3 

4 

2 

4 

238 

15 

15 

8 

5 

2 

4 

1 

4 
5 
4 
60 
3 
3 
147 
5 

14 
4 
3 
5 
56 
4 
5 

16 
11 
4 
2 
8 
3 
33 
13 
12 



Total 
civilians 



16 



158 



City 



16 



MICHIGAN— Continued 



Mayville 

Melvindale 

Memphis 

Mendon 

Menominee 

Meridian Township 

Michiana 

Middleville 

Midland 

Midland Township 

Mid Township 

Milan 

Milford 

Millington 

Mills Township 

Minden City 

Monroe 

Montague 

Montrose 

Montrose Township 

Morrice 

Mount Clemens 

Mount Morris 

Mount Morris Township 

Mount Pleasant 

Mundy Township 

Munising 

Muskegon 

Muskegon Heights 

Muskegon Township 

Nashville 

Negaunee 

Napoleon Township 

Newaygo 

New Baltimore 

Newberry 

New Bufialo 

New Haven 

New Lothrop 

NUes 

Niles Township 

North Muskegon 

Northville 

Northville Township 

Norton Shores 

Norvell Township 

Norway 

Novi 

Oak Park 

Olivet 

Onaway 

Ontonagon 

Ontwa Township-Edwardsburgh.. 

Orchard Lake 

Oscoda- Ausable Township.... 

Otisville 

Otsego 

Ovid 

Owosso 

Oxford 

Parchment 

Paw Paw 

Peck 

Pennfield Township 

Pentwater 

Perry 



Total 

police 

employees 



1 

25 

4 

1 

20 

28 

2 

3 

45 

2 

5 

13 
15 
3 
4 
1 
51 
4 
4 



7 

3 

4 

5 

1 

25 

9 

5 

18 

15 

23 

1 

5 

48 

76 

2 

2 

3 

9 

7 

10 

9 

9 

2 

20 

15 

4 

7 



Total 
officers 



Total 
civilians 



1 

23 

4 

1 

15 

23 

2 

3 

42 

2 

5 

9 

10 

3 

3 

1 

47 

4 

4 

1 

1 

33 

5 

16 

21 

5 

4 

64 

22 

8 

2 

9 

3 

2 

6 

3 

4 

4 

1 

19 

9 

4 

16 

11 

22 

1 

5 

31 

69 

2 

2 

3 

6 

7 

8 

9 

7 

2 

19 

12 

4 

5 

3 

8 

3 

4 



279 



Table 75. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1983 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



MICHIGAN— Continued 

Petoskey 

Pigeon 

Pinckney 

Pinconning 

Pittsfield Township 

Plainwell 

Pleasant Ridge 

Plymouth 

Pontiac 

Pontiac Township 

Portage 

Port Austin 

Port Huron 

Portland 

Port Sanilac 

Potterville 

Prairieville Township 

Quincy 

Redford Township 

Reed City 

Reese 

Richfield Township (Roscommon County) 

Richfield Township (Genesee County) 

Richmond 

River Rouge 

Riverview 

Rochester 

Rockford 

Rockwood 

Rogers City 

Romeo 

Romulus ■- 

Rooseveh Park 

Rose City 

Roseville 

Ross Township 

Royal Oak 

Royal Oak Township 

Saginaw 

Saginaw Township 

Saint Charles 

Saint Clair 

Saint Clair Shores 

Saint Ignace 

Saint Johns 

Saint Joseph 

Saint Joseph Township 

Saint Louis 

Saline 

Sand Lake 

Sandusky 

Saugatuck 

Sault Sainte Marie 

Schoolcraft 

Scottville 

Sebewaing 

Shelby 

Shelby Township 

Shepherd 

Sherwood Township 

Somerset Township. 

Southfield 

Southgate 

South Haven 

South Lyon 

South Rockwood 

Sparta 

Spaulding Township 



4 
3 

16 
7 

10 

21 
211 

28 

55 
2 

75 
5 
1 
2 
1 
7 

79 
5 
2 
3 
3 
7 

35 

29 

18 
5 
9 
6 
8 

41 
7 
1 

91 

2 

1(X) 

17 
135 

33 
3 
8 

97 
5 

15 

26 
8 
9 

14 
3 
3 
2 

28 
4 
3 
4 
3 

43 

2 

2 

1 

178 

53 

17 
8 
1 
9 
1 



10 

1 

3 

3 

12 

6 

9 

19 

179 

20 

45 

2 

56 

5 

1 

2 

1 

4 

69 

5 

2 

3 

2 

5 

33 

26 

12 

5 

8 

6 

5 

34 

7 

1 

81 

2 

88 

17 

121 

29 

3 

7 

89 

5 

11 

19 

7 

7 

10 

3 

3 

2 

27 

3 

3 

4 

3 

35 

2 

1 

1 

138 

43 

14 

7 

1 

6 

1 



10 



40 

10 

3 

1 



MICHIGAN— Continued 

Spring Arbor Township 

Springfield 

Spring Lake 

Springport 

Standish 

Sterling Heights 

Stevensville........ 

Sturgis 

Sumpter Township 

Sunfield 

Swartz Creek 

Sylvan Lake 

Taylor 

Tecumseh 

Thomas Township 

Three Oaks 

Three Rivers 

Tittabawassee 

Traverse City 

Trenton 

Troy 

Tuscarora Township 

Twin City 

Union City 

Unionville 

Utica 

Van Buren Township 

Vassar 

Vernon 

Vicksburg 

Wakefield 

Walker 

Walled Lake 

Warren 

Waterford Township... 

Wayland 

Wayne 

WebberviUe 

West Bloomfield Township 

West Branch 

Westland 

White Cloud 

Whitehall 

White Lake Township 

White Pigeon 

Williamston 

Wixom 

Wolverine Lake 

Woodhaven 

Wyandotte 

Wyoming 

Yale 

Ypsilanti 

Zeeland 

Zilwaukee 

MINNESOTA 

Albert Lea 

Alexandria 

Anoka 

Apple Valley 

Austin 

Babbitt 

Baxter 

Bayport 

Belle Plaine 

Bemidji 



2 

12 

4 

1 

3 

213 

5 

19 

14 



112 

14 

1 

3 

16 

4 

26 

53 

131 

5 

4 

4 

2 

12 

21 

4 

1 

6 

3 

23 

14 

281 

75 

4 

46 

2 

44 

3 

96 

2 

6 

21 

2 

5 

14 

8 

25 

57 

99 

3 

49 

7 

3 



159 
5 


54 


15 


4 


14 




1 




7 


1 


5 




98 


14 


13 


1 


1 




3 




16 




4 




25 




48 




101 


30 


4 




. 4 




3 




7 




8 




19 


2 


4 




1 




6 




1 




20 


3 


10 


4 


232 


49 


60 


15 


4 




35 


11 


? 




34 


10 


1 




87 


9 


7 




6 




13 


8 


7 




5 




12 


2 


6 


2 


24 


1 


47 


10 


72 


27 


1 




42 


7 


6 


1 


2 


1 


29 


8 


13 


6 


20 


6 


21 


11 


29 


15 


5 




3 




4 




4 


1 


17 


7 



280 



Table 75. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1983 — Continued 



City 



MINNESOTA— ContlDued 



Benson 

Blaine 

Bloomington 

Blue Earth 

Brainerd 

Breckenridge 

Brooklyn Center 

Brooklyn Park 

Buffalo 

Bumsville 

Caledonia 

Cambridge 

Cannon Falls 

Champlin 

Chaska 

Chisholm 

Circle Pines-Lexington.. 

Cloquet 

Cold Spring 

Columbia Heights 

Coon Rapids 

Corcoran 

Cottage Grove 

Crookston 

Crosby 

Crystal 

Dawson 

Dayton 

Deephaven 

Detroit Lakes 

Dilworth 

Duluth 

Eagan 

East Grand Forks 

Eden Prairie 

Edina 

Elk River 

Ely 

Eveleth 

Fairmont 

Faribault 

Farmington 

Fergus Falls 

Forest Lake 

Fridley 

Gilbert 

Glencoe 

Glenwood 

Golden Valley 

Goodview 

Grand Rapids 

Granite Falls 

Hastings 

Hermantown 

Hibbing 

Hopkins 

Hoyt Lakes 

Hutchinson 

International Falls 

Inver Grove Heights... 

Jackson 

Jordan 

Kasson 

Kenyon 

La Crescent 

Lake City 

Lakeville 

Le Sueur 

Lino Lakes 

Litchfield 



Total 

police 

employees 



6 

33 
110 

6 
18 
11 
41 
47 

7 
57 

3 

7 

6 

9 

9 
14 

7 
16 

3 
23 
50 

2 
27 
13 

4 
38 

3 

5 

8 
13 

4 
171 
38 
20 
31 
49 
10 
10 

9 
15 
28 

7 
22 

9 
39 

7 

7 

8 
38 

3 
14 

5 

17 

7 
30 
28 

5 
21 

11 
24 

6 

10 

4 
3 

4 
9 

22 
5 
7 

10 



Total 
officers 



13 

6 

15 

3 

19 

43 

2 

17 

12 

4 

30 

3 

5 

6 

II 

4 

134 

25 

19 

22 

43 

9 

9 

9 

14 

21 

6 

20 

8 

29 

7 

6 

4 

29 

3 

12 
5 

16 

6 

30 

20 

5 

14 
11 
19 
6 
9 
4 
3 
4 
7 
16 
5 
6 
9 



Total 
civihans 



10 



10 



City 



MINNESOTA— Continued 



Little Falls 

Long Prairie 

Luveme 

Madison 

Mankato 

Maple Grove 

Maplewood 

Marshall 

Medina 

Melrose 

Mendota Heights 

Minneapolis 

Minnetonka 

Montevideo 

Moorhead 

Mora 

Morris 

Mound 

Mounds View 

New Brighton 

New Hope 

Newport 

New Prague 

New Ulm 

Northfield 

North Mankato 

North Saint Paul 

Oakdale 

Oak Park Heights 

Olivia 

Orono 

Ononville 

Osseo 

Owatonna 

Park Rapids 

Pipestone 

Plainview 

Plymouth 

Princeton 

Prior Lake 

Proctor 

Ramsey 

Red Wing 

Redwood Falls 

Richfield 

Robbinsdale 

Rochester.. 

Roseau 

Rosemount 

Roseville 

Saint Anthony 

Saint Bonifacius-Minnetrista.. 

Saint Cloud 

Saint James 

Saint Joseph 

Saint Louis Park 

Saint Paul 

Saint Paul Park 

Saint Peter 

Sartell 

Sauk Centre 

Sauk Rapids 

Savage 

Shakopee 

Silver Bay 

Sleepy Eye 

South International Falls 

South Lake Minnetonka 

South Samt Paul 

Springfield 



Total 

poUce 

employees 



12 

5 

6 

4 

41 

20 

48 

19 

4 

4 

13 

764 

51 

9 

47 

5 

10 

II 

12 

22 

25 

5 

5 

22 

20 

7 

15 

14 

5 

4 

14 

6 

3 

22 

5 



36 
7 
9 
6 
7 

23 
6 

53 

25 

112 

4 

8 

37 

12 
6 

67 
6 
3 

65 

609 

6 

13 
4 
8 
9 
7 

17 
5 
6 
4 

11 

29 
4 



Total 
officers 



10 

5 

6 

4 

34 

17 

37 

15 

4 

4 

12 

679 

40 

8 

36 

4 

7 

10 

11 

20 

22 

5 

5 

19 
16 
7 
13 
12 
4 
4 
13 
5 
3 
20 



29 

6 

8 

5 

6 

21 

6 

42 

17 

94 

4 

7 

34 

11 

6 

54 

6 

3 

48 

498 

6 

9 

4 

5 

7 

6 

14 

5 

6 

4 

10 

28 

4 



Total 
civihans 



281 



Table 75. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1983— Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 
employees 



Total 
officers 



MINNESOTA— Continued 

Spring Lake Park 

Staples 

Stillwater 

Thief River Falls 

Tracy 

Two Harbors 

Virginia 

Wabasha 

Wadena 

Waite Park 

Waseca 

Wayzata 

Wells 

West Hennepin 

West Saint Paul 

White Bear Lake 

Willmar 

Windom 

Winona 

Woodbury 

Worthington 

MISSISSIPPI 

Aberdeen 

Ackerman 

Amory 

Bates ville 

Bay Saint Louis 

Bay Springs 

Belzoni 

Biloxi 

Brandon 

Brookhaven 

Bruce 

Byhalia 

Calhoun City 

Carthage 

Clarksdale 

Cleveland 

Clinton 

Coldwater 

Collins 

Columbia 

Columbus 

Como 

Corinth 

Decatur 

De Kalb 

Drew 

Durant 

Ellis ville 

Eupora 

Flowood 

Forest 

Fulton 

Greenville 

Greenwood 

Grenada 

Gulfport 

Hattiesburg 

Hazlehurst 

Hernando 

Hollandale 

HoUy Springs 

Indianola 

Inverness 

luka 

Jackson 

Kosciusko 

Laurel 

Leland 



13 

4 

15 

18 

19 

5 

9 

110 

17 

27 

10 

4 

8 

11 

35 

33 

21 

3 

9 

26 

61 

3 

25 

13 

3 

8 

4 

8 

4 

10 

16 

11 

100 

53 

27 

81 

112 

12 

9 

16 

14 

25 

3 

6 

514 

19 

92 

15 



13 

4 

15 

13 

14 

5 

6 

76 

13 

22 

5 

3 

7 

7 

30 

31 

15 

3 

7 

26 

52 

3 

21 

2 

3 

4 

4 

6 

4 

10 

16 

II 

76 

45 

22 

56 

83 

10 

9 

8 

13 

24 

3 

6 

382 

17 

62 

14 



132 

2 

30 

1 



MISSISSIPPI— Continued 

Long Beach 

Louisville 

Lucedale 

Macon 

Madison 

Magee 

Magnolia 

McComb 

Mendenhall 

Meridian 

Morton 

Moss Point 

Natchez 

Newton 

Oxford 

Pass Christian 

Pearl 

Pelahatchie 

Petal 

Philadelphia 

Pickens 

Poplarville 

Port Gibson 

Purvis 

Quitman 

Raymond 

Ridgeland 

Ripley , 

Rolling Fork 

Ruleville 

SandersviUe 

Senatobia 

Shaw 

Sunflower 

Tchula 

Terry 

Tupelo 

Tylertown 

Vaiden 

Verona 

Vicksburg 

Water Valley 

Waveland 

Waynesboro 

Wiggins 

Winona 

Yazoo City 

MISSOURI 

Arnold 

Aurora 

Ball win 

Bellefontaine Neighbois 

Bel-Nor 

Bel-ridge 

Belton ;. 

Berkeley 

Blue Springs 

Bohvar 

Bonne Terre 

Boonville 

Branson 

Breckenridge Hills 

Brentwood 

Bridgeton 

Brookfield 

Butler 

Calverton Park 

Cameron 

Canton 

Cape Girardeau 

CarroUton 



24 

16 

11 

5 

3 

12 

3 

27 

10 

128 

8 

33 

73 

12 

31 

14 

30 

4 

14 

17 

2 

6 

11 

5 

7 

5 

12 

17 

5 

8 

3 

10 

7 

2 

4 

2 

58 

7 

5 

7 

64 

7 

12 

10 

10 

13 

30 



16 


8 


12 


4 


7 


4 


5 




1 




12 




3 




20 


7 


in 




92 


36 


8 




31 


2 


53 


20 


9 


3 


26 


5 


10 


4 


23 


7 


4 




10 


4 


12 


5 


? 




6 




"7 


4 


S 




6 


1 


4 


1 


9 


3 


12 


5 


s 




4 


4 


3 




9 


1 


3 


4 


7 




4 




7 




57 


1 


6 


1 


2 


3 


7 




45 


19 


7 




10 


2 


10 




6 


4 


9 


4 


21 


9 



282 



able 75. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1983 — Continued 



City 



Total 

police 

employees 



Total 
ofTicers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



MISSOURI— Continued 



srthage 

entralia 

hafiee 

harlack 

hillicothe 

larkson Valley 

laycomo..... 

layton 

linton 

◦lumbia 

ountry Club Hills . 

restwood 

reve Coeur 

rystal City.... 

ellwood 

e Soto 

es Peres 

dmundson 

llisville 

Lireka 

ncelsior Springs 

irmington 

inton 

irguson 

atus 

lat River 

.orissant 

-ontenac 

jlton 

ladstone 

lendale 

rain Valley 

randview 

anley Hills 

annibal 

arrisonville 

azelwood 

ermann 

illsdale 

idependence 

onton 

ickson 

jfferson City 

;nnings 

5plin 

.ansas City 

.eamey 

lennett 

arksville 

lirkwood 

adue 

ake Saint Louis.... 

.amar -... 

.ebanon 

-ees Summit 

-exington 

liberty 

x>uisiana 

>1acon 

Manchester 

tlaplewood 

vlarceline 

Marshall 

4aryville 

wiexico 

"Soberly 

\<oline Acres 

Meosho 

Nevada 

Vewburg 



MISSOURI— Continued 



25 

10 

4 

8 

19 

37 

g 

66 

17 

118 

7 

33 

39 

16 

15 

13 

38 

7 

20 

11 

28 

17 

21 

59 

24 

15 

85 

19 

29 

53 

13 

3 

46 

6 

48 

15 

47 

4 

7 

197 

4 

14 

68 

70 

75 

1,658 

2 

22 

26 

62 

36 

12 

6 

21 

56 

9 

34 

11 

10 

17 

28 

6 

26 

25 

31 

38 

7 

23 

26 



22 

5 

4 

6 

14 

27 

8 

55 

13 

91 

6 

27 

32 

16 

14 

9 

32 

6 

19 

10 

20 

12 

15 

52 

16 

8 

72 

17 

21 

43 

10 

3 

37 

5 

33 

10 

37 

4 

6 

150 

4 

14 

58 

46 

64 

1,140 

2 

16 

25 

52 

30 

9 

6 

16 

41 

9 

25 

7 

10 

17 

23 

6 

20 

16 

26 

34 

7 

21 

18 

1 



IC 



10 



10 

24 

11 

518 



IC 



Normandy 

North Kansas City.. 

Northwoods 

Oakland 

Odessa 

O'Fallon 

Olivette 

Overland 

Pacific 

Parkville 

Pevely 

Pine Lawn 

Plattsburg 

Pleasant Hill 

Poplar Bluff 

Potosi 

Raytown 

Republic 

Richmond 

Richmond Heights . 

Riverside 

Riverview 

Rock HiU 

RoUa 

Saint Aim 

Saint Charles 

Sainte Genevieve .... 

Saint George 

Saint John 

Saint Joseph 

Saint Louis 

Saint Robert 

Salem.. 

Savannah 

Sedalia 

Shrewsbury 

Sikeston 

Slater 

Smithville 

Springfield 

Sugar Creek 

Sullivan 

Sunset Hills 

Trenton 

University City 

Valley Park 

Vandalia 

Warrensburg 

Warson Woods 

Washington 

Webb City 

Webster Groves 

Wellston , 

Wentzville 

Weston 

West Plains 

Woodson Terrace 



MONTANA 



Baker 

Belt 

Billings 

Boulder 

Bozeman 

Columbia Falls. 

Conrad 

Dillon 

East Helena 

Fort Benton 

Glasgow 



20 

37 

18 

2 

6 

27 

26 

63 

16 

6 

11 

17 

4 

8 

49 

12 

59 

11 

16 

30 

13 

7 

14 

32 

34 

89 

8 

4 

16 

138 

2,277 

11 

13 

6 

47 

12 

49 

8 

5 

221 

10 

17 

22 

16 

98 

9 

5 

21 

6 

19 

17 

53 

18 

16 

3 

18 

14 



HI 

2 

30 

11 



18 

30 

16 

2 

6 

27 

21 

47 

11 

5 

10 

16 

4 

4 

35 

7 

48 

11 

11 

27 

9 

6 

11 

21 

28 

69 

7 

4 

14 

126 

1,754 

11 

10 

5 

38 

12 

41 

7 

4 

179 

8 

12 

16 

11 

78 

8 

5 

20 

6 

17 

17 

43 

13 

12 

3 

14 

12 



283 



Table 75. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1983 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



MONTANA— Continued 

Glendive 

Great Falls 

Hamilton 

Havre 

Helena 

Kalispell 

Laurel 

Lewistown 

Livingston 

Malta 

Miles City 

Missoula 

Plains 

Plentywood 

Red Lodge 

Sidney 

Troy 

West Yellowstone 

Whitefish 

NEBRASKA 

Alliance 

Ashland 

Auburn 

Aurora 

Beatrice 

Bellevue 

Blair 

Broken Bow 

Central City 

Chadron 

Columbus 

Cozad 

Crete 

Dakota City 

Elkhom 

Fairbury 

Falls City 

Fremont 

Geneva 

Gering 

Gordon 

Gothenburg 

Grand Island 

Hartington 

Hastings 

Holdrege 

Kearney 

Kimball 

La Vista 

Lexington 

Lincoln 

Madison 

MeCook 

Milford 

Mitchell 

Nebraska City 

Norfolk 

North Platte 

Ogallala 



NEBRASKA— Continued 



26 

6 

5 

7 

27 

52 

10 

II 

5 

17 
38 
9 
13 
3 
4 
9 
13 
38 
3 

16 

7 

9 

48 

1 

42 

12 

36 

7 

15 

16 

297 

3 

18 

5 

4 

14 

39 

57 

9 



12 

64 

8 

14 

33 

21 

8 

II 

11 

5 

14 

53 

1 

5 

5 

13 
2 
4 
8 



19 
4 
5 
6 

19 

41 
8 
6 
5 

11 

26 
5 
9 
3 
4 
8 
9 

29 
3 

13 
6 
5 

43 
1 

32 
8 

30 
6 

II 

10 

227 

3 

14 
5 
4 

12 

33 

38 



12 



4 
5 

10 
4 
6 
I 
4 
t 

70 



Omaha 

O'Neill 

Ord 

Papillion 

Plattsmouth 

Ralston 

Schuyler 

Scottsblufr 

Seward 

Sidney 

South Siotix City.. 

Stanton 

Superior 

Syracuse 

Tecumseh 

Tekamah 

Valentine 

Valley 

Wahoo 

Wayne 

West Point 

Wilber 

York 



NEVADA 



Boulder City 

Caliente 

Carlin 

Elko 

Fallon 

Henderson 

Las Vegas Police Department Jurisdiction. 

Lovelock 

North Las Vegas 

Reno 

Sparks 

Winnemucca 

Yerington 



NEW HAMPSHIRE 



Allenstown ... 

Alton 

Amherst 

Ashland 

Auburn 

Bedford 

Belmont 

Berlin 

Boscawen 

Bow 

Bradford 

Bristol 

Brookfield .. 
Charlestown . 
Claremont .... 

Colebrook 

Concord 

Conway 

Derry 



702 

22 

6 

10 



21 

2 

4 

33 

23 

57 

1.327 

6 

130 

401 

97 

23 



4 
7 

11 
4 
1 

25 
7 

31 
3 

10 
1 
5 
1 
6 

29 
3 

78 

26 

38 



544 
6 
4 
9 
7 
7 
6 

28 
8 

II 

13 
2 
3 
2 
2 
4 
4 
3 
6 
6 
6 
4 

12 



17 

2 

4 

22 

15 

41 

905 

5 

97 

277 

72 

18 

7 



6 

10 
3 
1 

19 
7 

29 
3 
6 
1 
5 
1 
3 

23 
3 

61 

19 

32 



284 



,ble 75. Number of Full-time Law Enforcement Employees, Cities, October 31, 1983 — Continued 



City 



NEW HAMPSHIRE— Continued 



Total 

police 

employees 



Total 
officers 



52 

15 

4 

2 

25 

7 

3 

18 

14 

29 

7 

2 

30 

20 

5 

6 

3 

3 

6 

13 

5 

32 



43 

2 

36 

6 

21 

I 

9 

5 

11 

29 

2 

195 

11 

33 

17 

3 

174 

2 

1 

9 

4 

7 

15 

2 

4 

7 

2 

15 

6 

9 

8 

8 

65 

4 

3 

37 

8 

57 

3 

23 

23 



Total 
civilians 



38 
14 
4 
2 
19 
6 
3 

17 

9 

1 

7 

2 

24 

13 

4 

5 

3 

3 

5 

12 

4 

25 

1 

8 

40 

2 

28 

6 

19 

1 

5 

3 

9 

23 

2 

162 

9 

25 

14 

3 

138 

2 

1 

9 

4 

7 

11 

2 

3 

6 

2 

10 

6 

9 

6 

7 

57 
4 
3 
33 
7 
44 
3 
18 
17 



14 



City 



NEW HAMPSHIHE— Continued 



Tilton 

Walcefield 

Waterville Valley. 

Whitefield 

Wilton 

Winchester 

Windham 

Wolfieboro 

Woodstock 



NEW JERSEY 



36 



Aberdeen Township 

Absecon 

Allendale 

Allenhurst 

AUentown 

Alpine 

Andover Township 

Asbury Park 

Atlantic City 

Atlantic Highlands 

Audubon 

Audubon Park 

Avalon 

Avon-by-the-Sea 

Bamegat Township 

Barrington 

Bay Head 

Bayonne 

Beach Haven 

Beachwood 

Bedminster Township. .. 

Belleville 

Bellmawr 

Belmar 

Belvidere 

Bergenfield 

Berkeley Heights 

Berkeley Township 

Berlin 

Berlin Township 

Bernards Township 

Bemardsville 

Beverly 

Blairstown Township 

Bloomfield 

Bloomingdale 

Bogota 

Boonton 

Boonton Township 

Bordentown 

Bordentown Township.. 

Bound Brook 

Bradley Beach 

Branchburg Township.. 

Brick Township 

Bridgeton 

Bridgewater Township.. 

Brielle 

Brigantine 

Brooklawn 

Buena 

Burhngton 

Burlington Township... 



Total 

police 

employees 



Total 
officers 



35 

22 

17 

12 
6 

10 

10 

62 
523 

18 

18 
3 

24 

12 

18 

16 

6 

223 

11 

11 
9 

82 

25 

25 
8 

55 

27 

59 
13 
12 

29 

15 

3 

10 

130 
15 
20 
21 
7 
11 
19 
20 
18 
13 
94 
65 
62 
19 
28 
4 
13 
41 
37 



Total 
civilians 



28 

21 

14 
8 
5 

10 
5 

55 
386 

14 

17 
3 

17 

10 

15 

15 

6 

191 

11 

11 
8 

78 

18 

21 
7 

49 

23 

51 
11 
11 

23 
13 
2 
6 

111 

14 

20 

20 

7 

7 

12 

15 

15 

12 

73 

56 

48 

14 

23 

4 

8 

35 

30 



5 
7 
137 
4 
1 



32 



1 

4 
7 
4 
1 
6 
4 
8 
2 
1 
6 
2 
1 

4 

19 

1 



4 
7 
5 
3 
1 

21 
9 

14 
5 
5 



285 



Table 75. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1983 — Continued 



City 



NEW JERSEY— Continued 



Butler 

Byram Township 

Caldwell 

Califon 

Camden. 

Cape May 

Cape May Point 

Carlstadt 

Cameys Point Township... 

Carteret 

Cedar Grove Township 

Chatham 

Chatham Township 

Cherry Hill 
Chesilhurst 

Chester 

Chester Township 

Cinnammson Township 

Clark 

Clayton 

Clementon 

Cliffside Park 

Clifton 

Clinton 

Clinton Township 

Closter 

Collingswood 

Cranbury Township 

Cranford Township 

Cresskill 

Deal 

Delanco Township 

Delaware Township 

Delran Township 

Demarest 

Denville Township 

Deptford Township 

Dover 

Dover Township 

Dumont 

Dunellen 

Eastampton Township 

East Brunswick Township. 
East Greenwich Township 

East Hanover Township 

East Newark 

East Orange 

East Rutherford 

East Windsor Township 

Eatontown 

Edgewater 

Edgewater Park Township 

Edison 

Egg Harbor City 

Egg Harbor Township 

Elizabeth 

Elk Township 

Elmwood Park 

Emerson 

Englewood 

Englewood Cliffs 

Englishtown 

Essex Fells 

Evesham Township 

Ewing Township 



Total 

police 

employees 



21 
14 
23 

3 

301 

21 

1 
28 
20 
52 
27 
22 
28 
145 

5 

8 

13 
30 
44 
16 
10 
37 
150 

6 
14 
21 
28 

7 
58 
19 
16 

g 

5 
23 
12 
34 
48 
30 
150 
36 
17 
11 
101 
11 
28 

9 

243 

28 

50 

41 

23 

13 

178 

18 

57 

328 

6 

33 

18 

85 

26 

1 
11 
34 
64 



Total 
officers 



16 
12 
20 

3 

263 

13 

1 
27 
14 
47 
26 
17 
23 
117 

4 

7 
12 
25 
40 
10 

9 
36 
138 

6 
13 
20 
22 

7 
47 
17 
12 

7 

5 
19 
II 
26 
39 
27 
117 
33 
13 
10 
78 
10 
25 

9 
234 
26 
39 
32 
23 
12 
141 

9 

50 

294 

5 
30 
18 
77 
25 

1 
10 
32 
58 



Total 
civilians 



6 
5 
1 
5 
5 
28 



12 



33 



23 



City 



NEW JERSEY— Continued 

Fairfield 

Fairfield Township.. 

Fair Haven 

Fair Lawn 

Fairview 

Fanwood 

Far Hills 

Flemington 

Florence Township 

Florham Park 

Fort Lee 

Frankhn ! 

Franklin Lakes 

Franklm Township (Gloucester County) 
Franklin Township (Hunterdon County) 
Franklin Township (Somerset County) 

Freehold 

Freehold Township 

Frenchtown 

Galloway Township 

Garfield 

Garwood 

Glassboro 

Glen Ridge 

Glen Rock 

Gloucester City 

Gloucester Township 

Green Brook 

Greenwich Township (Gloucester County).. 

Greenwich Township (Warren County) 

Guttenberg 

Hackensack 

Hackettstown 

Haddonfield 

Haddon Heights 

Haddon Township 

Hainesport Township 

Haledon 

Hamburg 

Hamilton 

Hamilton Township 

Hammonton 

Hampton 

Hanover Township 

Harding Township 

Hardyston Township 

Harrington Park 

Harrison 

Harrison Township 

Harvey Cedars 

Hasbrouck Heights 

Haworth 

Hawthorne 

Hazlet Township 

Helmetta 

High Bridge 

Highland Park 

Highlands ' 

Hightstown 

Hillsborough Township 

Hillsdale 

Hillside Township 

Hi Nella 

Hoboken 

Hohokus 



Total 

police 

employees 



31 
11 
13 
60 
25 
22 

3 

9 
1 

24 
90 
11 
24 
22 

2 
76 
28 
45 

2 
30 
48 
15 
34 
30 
26 
26 
81 
16 
17 

1 

119 
1 

28 
19 
30 
11 
16 

4 
165 
34 
24 

2 
33 
13 
14 
10 
49 

7 

6 
31 
13 
27 
44 

3 

5 
34 
14 
13 
34 
20 
76 

1 

114 

18 



Total 
officers 



286 



Table 75. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1983 — Continued 



City 



NEW JERSEY— Continued 



Holland Township 

Holmdel Township 

Hopatcong 

Hopewell Township 

Howell Township 

Interlaken 

Irvington 

Island Heights 

Jackson Township 

Jamesburg 

Jefferson Township 

Jersey City 

Keansburg 

Kearny 

Kenilworth 

Keyport 

Kinnelon 

Lacey Township 

Lakehurst 

Lakewood 

Lambertville 

Laurel Springs 

Lavallette - 

Lawnside --- 

Lawrence Township (Cumberland County) 

Lawrence Township (Mercer County) 

Lebanon Township 

Leonia 

Lincoln Park 

Linden 

Lindenwold 

Linwood - 

Little Egg Harbor Township 

Little Falls Township 

Little Ferry 

Little Silver 

Livingston 

Lodi 

Logan Township 

Long Beach Township 

Long Branch 

Longport 

Lopatcong Township 

Lower Alloways Creek Township 

Lower Township 

Lumberton Township 

Lyndhurst Township 

Madison 

Magnolia 

Mahwah Township 

Manalapan Township 

Manasquan 

Manchester Township 

Mansfield Township 

Mantoloking 

Mantua Township 

Manville 

Maple Shade Township 

Maplewood Township 

Margate City 

Marlboro 

Matawan 

Maywood 

Medford Lakes 

Medford Township 

Mendham 

Mendham Township 



Total 

police 

employees 



Total 
officers 



5 
28 
24 
22 
66 

5 
161 

5 
61 

7 
35 
967 
26 
130 
23 
21 
12 
37 
12 
96 

8 

2 
17 



54 
10 
23 
18 
134 
32 
21 
26 
23 
23 
16 
51 
39 

8 
32 
94 
13 
12 
17 
34 
14 
50 
34 

7 
44 
39 
23 
48 

9 

7 
21 
23 
34 
55 
33 
46 
24 
23 

9 
30 

12 

11 



Total 
civilians 



5 
21 
21 
18 
53 
5 
147 
5 
49 
6 
28 
908 
22 
125 
22 
15 
11 
29 
10 
86 
4 
2 
11 
7 
2 
50 
8 
21 
1 
124 
29 
17 
19 
18 
23 
15 
46 
37 
8 
29 
79 
10 
9 
12 
27 
13 
44 
31 
7 
40 
32 
17 
44 
9 
6 
15 
21 
29 
51 
24 
35 
20 
22 
8 
24 
11 
10 



59 



IC 



City 



NEW JERSEY— Continued 



10 



Merchantville 

Metuchen 

Middlesex 

Middle Township 

Middletown Township 

Midland Park 

Milford 

Millbum Township 

Milltown 

Millville 

Mine Hill Township 

Monmouth Beach 

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

Montclair 

Montgomery Township 

Montvale 

Montville Township 

Moonachie 

Moorestown Township 

Morris Plains 

Morristown 

Morris Township 

Mountain Lakes 

Mountainside 

Mount Arlington 

Mount Ephraim 

Mount Holly 

Mount Laurel Township 

Mount Olive Township 

Mullica Township 

National Park 

Neptune 

Neptune Township 

Netcong 

Newark 

New Brunswick 

Newfield 

New Milford 

New Providence 

Newton 

North Arhngton 

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 

Orange 

Oxford Township 

PaUsades Park 



Total 

police 

employees 



Total 
officers 



15 

33 

29 

40 

103 

14 

4 

63 

13 

60 

9 

10 

47 

35 

113 

14 

20 

32 

1 

36 
19 
56 
52 
12 
24 
9 
11 
25 
37 
38 
11 
8 

19 

73 

7 

1,236 

156 

6 

37 

27 

20 

42 

107 

63 

18 

21 

16 

4 

40 

12 

32 

10 

73 

31 

8 

65 

5 

19 

68 

13 

5 

123 

12 

23 

108 

3 

32 



Total 
civilians 



11 
28 
28 
32 
88 
U 
4 
58 
10 
49 
8 
9 
38 
28 
98 
12 
20 
29 
14 
28 
17 
48 
42 
11 
19 
8 

10 

21 

30 

30 

10 

7 

15 

64 

6 

1,100 

132 

4 

34 

22 

14 

39 

102 

56 

14 

20 

14 

3 

36 

11 

24 

10 

63 

28 

7 

55 

5 

14 

58 

9 

5 

94 

11 

22 

93 

3 

31 



4 

5 
1 
8 
15 
3 



5 
3 

11 
1 
1 

9 
7 

15 
2 



10 
1 
5 
1 
1 
4 
7 



1 
4 
9 
1 
136 
24 
2 
3 
5 
6 
3 
5 
7 
4 
1 
2 
1 
4 
1 



10 
3 
1 

10 



5 

10 
4 



29 
1 
1 

15 



287 



Table 75. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1983 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



aty 



Total 

police 

employees 



Total 
officers 



NEW JERSEY— Continued 

Palmyra 

Paramus 

Park Ridge 

Parsippany-Troy Hills 

Passaic 

Passaic Township 

Paterson 

Paulsboro 

Peapack and Gladstone 

Pemberton 

Pemberton Township 

Pennington 

Pennsauken 

Penns Grove 

Pennsville Township 

Pequannock Township 

Perth Amboy 

Phillipsburg 

Pine Beach 

Pine HiU 

Pine Valley 

Piscataway Township 

Pitman 

Plainfield 

Plainsboro Township 

Pleasantville 

Plumsted Township 

Pohatcong 

Point Pleasant 

Point Pleasant Beach 

Pompton Lakes 

Princeton 

Princeton Township 

Prospect Park 

Rahway 

Ramsey 

Randolph Township 

Ran tan 

Rantan Township 

Readington Township 

Red Bank 

Ridgefield 

Ridgefield Park 

Ridgewood 

Ringwood 

Riverdale 

River Edge 

Riverside 

Riverton 

River Vale 

Rochelle Park Township 

Rockaway 

Rockaway Township 

Roseland 

Roselle 

Roselle Park 

Roxbury Township 

Rumson 

Runnemede 

Rutherford 

Saddle Brook Township 

Saddle River 

Salem 

Sayreville 

Scotch Plains 

Sea Bright 

Sea Girt 

Sea Isle City 



IS 
104 
23 

lis 

151 

23 

397 

18 

5 

1 
45 

1 
110 
18 
33 
27 
114 
34 

6 
17 

4 
96 
17 
140 
15 
47 

2 
10 
30 
22 
23 
33 
31 

9 
78 
33 
40 
16 
18 
17 
47 
38 
28 
53 
29 
14 
25 
12 

6 
20 
18 
13 
53 
22 
45 
31 
32 
17 
13 
52 
32 
11 
21 
85 
45 

9 
12 
25 



14 
86 
19 
98 
144 
17 
342 
12 

S 

1 
38 

1 
86 
13 
26 
22 
102 
28 

5 
14 

4 
81 
12 
119 
14 
41 

2 

9 
27 
20 
18 
29 
26 

9 
72 
29 
31 
15 
16 
15 
43 
35 
26 
46 
23 
10 
22 
11 

6 
20 
18 
12 
43 
22 
42 
30 
28 
17 
II 
48 
31 
10 
15 
73 
41 

8 

8 
17 



IC 



NEW JERSEY— Continued 

Seaside Heights 

Seaside Park 

Secaucns 

Ship Bottom 

Shrewsbury 

Somerdale 

Somers Point 

Somerville 

South Amboy 

South Belmar 

South Bound Brook 

South Brunswick Township 

South Hackensack 

South Harrison Township 

South Orange 

South Plainfield 

South River 

South Toms River 

Sparta Township 

Spotswood 

Springfield 

Spring Lake 

Spring Lake Heights 

Stafford Township 

Stanhope 

Stillwater Township 

Stone Harbor 

Stratford 

Summit 

Surf City 

Sussex 

Swedesboro 

Teaneck Township 

Tenafly 

Teterboro 

Tewksbury Township 

Tinton Falls 

Totowa 

Trenton 

Tuckerton 

Union Beach 

Union City 

Union Township 

Upper Deerficld Township 

Upper Saddle River 

Ventnor City 

Vernon Township 

Verona 

Vineland 

Voorhees Township 

Waldwick 

Wallington 

Wall Township 

Wanaque 

Warren Township 

Washington 

Washington Township (Bergen County) 

Washington Township (Gloucester County) 

Washington Township (Mercer County) 

Washington Township (Morris County) 

Washington Township (Warren County) 

Watchung 

Waterford Township 

Wayne Township 

Weehawken Township 

Wenonah 

Westampton 

West Amwell Township 

West Caldwell 



27 
18 
65 
10 
12 

7 
27 
38 
30 

9 
11 
51 
18 

1 
56 
57 
28 

6 
29 
19 
45 
16 
13 
37 

8 

1 
20 

8 
59 
11 

3 

3 
95 
35 

7 

6 

24 

21 

432 

9 

15 

161 

155 

6 
19 
32 
25 
31 
116 
31 
22 
18 
49 
19 
21 
16 
21 
53 
12 
23 

6 
26 
20 
112 
43 

5 
12 

2 
30 



20 
17 
61 

9 
11 

6 
22 
33 
28 

9 
11 
43 
18 

1 
53 
51 
24 

6 
24 
18 
40 
12 
H 
30 

7 

1 
IS 

7 
51 

8 

3 

3 
83 
32 

7 

5 

18 

20 

359 

6 

12 

133 

128 

2 
15 
26 
18 
29 
102 
24 
18 
18 
42 
14 
15 

9 
20 
46 
11 
18 

6 
20 
20 
100 
40 

5 . 
11 

2 . 
29 



288 



Table 75. Number of Full-time Law Enforcement Employees, Cities, October 31, 1983 — Continued 



City 



NEW JERSEY— Continued 



West Cape May 

West Deptford Township. 

Westfield 

West Long Branch 

West Milford Township... 

West New York 

West Orange 

West Paterson 

Westville 

West Wildwood 

West Windsor Township.. 

Westwood 

Wharton 

Wildwood 

Wildwood Crest 

Willingboro Township 

Winfield Township 

Winslow Township 

Woodbridge Township 

Woodbury 

Woodbury Heights 

Woodcliff Lake 

Woodlynne 

Wood Ridge 

Woodstown 

Woolwich 

Wyckoff 



NEW MEXICO 



Acoma 

Albuquerque 

Aztec 

Bayard 

Belen 

Bosque Farms.. 

Carlsbad 

Central 

Clayton 

Cloudcroft 

Clovis 

Corrales 

Cuba 

Deming 

Estancia 

Eunice 

Farmington 

Gallup 

Grants 

Hobbs 

Hurley 

Jal 

Las Cruces 
Los Alamos... 

Los Lunas 

Lovington 

Mesilla 

Milan 

Portales 

Questa 

Raton 

Red River 

Rio Rancho... 



Total 

police 

employees 



Total 
officers 



2 
30 
64 
20 
44 
100 
110 
20 
12 

2 
29 
28 
12 
45 
21 
70 

4 
63 
183 
28 

6 
17 

6 
17 

7 

4 
25 



11 

891 

19 

5 
19 

6 
54 

1 
11 

1 
66 

6 

4 
28 

3 

10 
126 
83 
34 
95 

4 

9 

102 

36 

13 

27 

4 
10 
22 

6 
24 
10 
22 



Total 
civilians 



2 
24 
56 
16 
37 
98 
100 
16 

9 

2 
22 
26 
11 
33 
20 
54 

4 
49 
157 
22 

5 
16 

6 
17 

6 

4 
24 



6 

592 

12 

4 

13 

5 

38 

1 

6 

1 

47 

5 

2 

23 

3 

5 

90 

43 

23 

65 

4 

5 

78 

28 

11 

19 

4 

5 

16 
3 

16 
5 
16 



12 



16 



City 



NEW MEXICO— Continued 



Roswell 

Ruidoso 

Ruidoso Downs 

Santa Fe 

Santa Rosa 

Silver City 

Socorro 

Springer 

Taos 

Tatum 

Truth or Consequences. 

Tucumcari 

Vaughn 



NEW YORK 



5 

299 

7 

1 



16 



19 



Adams 

Addison 

Akron 

Albany 

Albion 

Alexandria Bay ■ 

Alfred 

Allegany - 

Altamont 

Amherst 

Amity Town & Belmont Village. 

Amityville 

Amsterdam 

Andover 

Angola 

Arcade 

Ardsley 

Asharoken 

Attica 

Auburn 

Avon 

Bainbridge 

Baldwinsville 

Ballston Spa 

Batavia 

Bath 

Beacon... 

Bedford 

Bethlehem 

Binghamton 

Blasdell 

Blooming Grove 

Bolivar 

Bolton Town 

Boonville 

Briarcliff Manor 

Brighton 

Brockport 

BronxviUe 

Buchanan •--. 

Buffalo 

Caledonia 

Cambridge 

Camden 

Camillus 

Canajoharie 

Canandaigua 

Canastota 



Total 

police 

employees 



104 

34 

8 

133 

11 

30 

17 

4 

22 

7 

13 

31 

5 



Total 
officers 



Total 
civilians 



30 
9 

4 
35 
4 
6 
6 
1 
7 
4 
5 



3 


3 
1 

344 




1 




420 


76 


U 


10 


I 


3 


3 




6 


6 




3 


3 
1 

139 

1 

25 




1 




160 
\ 


21 


25 




38 


37 


1 


2 


2 




4 


4 




6 


6 




15 


15 




3 


3 




4 


4 




69 


61 


8 


3 


3 




1 


1 




14 


11 


3 


10 


7 


3 


34 


31 


3 


13 


9 


4 


31 


29 


2 


34 


32 


2 


34 


30 


4 


149 


138 


11 


6 


6 




9 


9 




1 


1 




1 


1 




2 


2 




17 


17 




45 


36 


9 


13 


13 




22 


21 


1 


7 


7 




1,117 


1,011 


106 


2 


2 




2 


2 




3 


3 




16 


14 


2 


5 


5 




28 


26 


2 


6 


6 





289 



Table 75. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1983 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



NEW YORK— Continued 



Canisteo 

Canton 

Cape Vincent 

Carmet 

Carthage 

Catskill 

Cattaraugus 

Cayuga Heights 

Centre Island 

Chatham 

Cheektowaga 

Chester 

Chittenango 

Clarkstown 

Clay 

Clayton 

Clifton Springs 

Clinton 

Clyde 

Cobleskill 

Cohocton 

Cohoes 

Cold Spring 

Colonic 

Cooperstown 

Coming 

Comwall-on-Hudson 

Cornwall 

Cortland 

Cortlandt 

Cove Neck 

Coxsackie 

Crawford 

Croton-on-Hudson 

Dansville 

Delhi 

Depew 

Deposit 

Dewitt 
Dobbs Ferry 

Dolgeville 

Dryden 

Dunkirk 

East Aurora-Aurora Town.. 

Eastchester 

East Fishkill 

East Greenbush 

East Hampton Village 

East Hampton Town 

East Rochester 

East Syracuse 

Eden 

Ellen ville 

Ellicott 

Ellicottville 

Elmira 

Elmsford 

Endicott 

Erwin 

Evans 

Fairport 

Fallsburg 



2 

12 

2 

35 

6 

13 

1 

7 

4 

3 

143 

3 

6 

123 

22 

3 

1 

2 

2 

6 

1 

35 

3 

141 

6 

26 

5 

8 

43 

1 

4 

2 

3 

17 

10 

2 

37 

2 

25 

21 

2 

4 

34 

24 

60 

10 

17 

17 

45 

11 

11 

4 

15 

11 

1 

96 

14 

57 

1 

22 

12 

18 



2 

11 

2 

34 

6 

13 

1 

6 

4 

3 

136 

3 

6 

108 

18 

3 

1 

2 

2 

6 

1 

31 

3 

95 

6 

26 

3 

8 

39 

1 

4 

2 

3 

17 

7 

2 

31 

2 

23 

21 

2 

3 

33 

14 

54 

5 

13 

12 

37 

10 

7 

4 

12 

11 

1 

89 

14 

41 

1 

18 

11 

15 



4 
46 



NEW YORK— Continued 

Fayetteville 

Floral Park 

Florida 

Fort Edward 

Fort Plain 

Franklin ville 

Fredonia 

Freeport 

Fulton 

Garden City 

Gates 

Geddes 

Geneseo 

Geneva 

Glen Cove 

Glens Falls 

Glenville 

Gloversville 

Goshen 

Gouvemeur 

Gowanda 

Granville 

Great Neck Estates 

Greece 

Greenburgh 

Greene 

Green Island 

Greenport (Columbia County) 

Greenport (Suffolk County) 

Greenwich 

Greenwood Lake 

Groton 

Guilderland 

Hamburg 

Hamburg Town 

Hamilton 

Hammondsport 

Hancock 

Hanover 

Harrison 

Hastings-on-Hudson 

Haverstraw 

Haverstraw Town 

Hempstead 

Highland Falls 

Highlands Town 

Holley 

Homer 

Hoosick Falls 

Homell 

Horseheads 

Hudson 

Hudson Falls 

Hunter 

Huntington Bay 

Ilion 

Inlet .-. 

Irondequoit 

Irvington 

Ithaca .^. 

Jamestown 

Johnson City 



15 

38 

1 

5 

4 

2 

16 

82 

33 

56 

30 

11 

6 

36 

48 

38 

24 

38 

12 

12 

6 

5 

15 

82 

127 

1 

15 

1 

5 

2 

9 

2 

23 

23 

58 

4 

3 

1 

5 

69 

20 

19 

23 

97 

9 

1 

4 

1 

4 

22 

12 

23 

12 

2 

5 

18 

4 

57 

18 

72 

78 

38 



12 

32 

1 

5 

4 

2 

16 

76 

33 

45 

24 

11 

6 

34 

47 

32 

16 

34 

11 

8 

6 

5 

13 

73 

105 

1 

9 

1 

5 

2 

8 

2 

12 

17 

57 

4 

2 

1 

5 

65 

20 

19 

22 

90 

6 

1 

4 

1 

4 

21 

11 

22 

11 

2 

5 

15 

2 

49 

18 

65 

72 

36 



290 



Table 75. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1983 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



NEW YORK— Continued 



Johnstown 

Kenmore 

Kensington 

Kent 

Kmgs Point 

Kingston 

Kirkland 

Lake George 

Lake Placid 

Lake Success 

Lakewood 

Lancaster Town 

Lancaster Village 

Larchmont 

Laurel Hollow 

Le Roy 

Lewiston 

Liberty 

Little Falls 

Liveipool 

Lloyd Harbor 

Lock[)Ort 

Long Beach 

Lowville 

Lynbrook 

Lyons 

Macedon 

Malone 

Malveme 

Mamaroneck Town 

Mamaroneck Village 

Manlius 

Marcellus 

Marion 

Marlborough 

Massena 

Mechanicville 

Medina 

Menands 

Middleport 

Middletown 

Millbrook 

Mill Neck 

Minoa 

Mohawk 

Monroe 

Montgomery 

Monticello 

Mount Kisco 

Mount Pleasant 

Mount Vernon 

Naples .'. 

Nassau 

Newark 

Newburgh 

Newburgh Town 

New Castle 

New Hartford Town and Village . 

New Pallz Town and Village 

New Rochelle 

New Windsor 

New York City 



23 

32 

6 

14 

21 

71 

3 

4 

13 

22 

8 

25 

21 

28 

9 

9 

1 

18 

13 

7 

12 

53 

93 

5 

48 

9 

3 

16 

23 

40 

51 

14 

1 

1 

6 

23 

12 

10 

10 

1 

54 

2 

3 

9 

7 

12 

1 

23 

25 

48 

200 

1 

2 

19 

84 

35 

33 

7 

20 

219 

25 

29,289 



23 

29 

6 

13 

21 

67 

2 

4 

12 

20 

8 

21 

16 

26 

9 

6 

1 

15 

13 

6 

11 

52 

78 

5 

46 

7 

3 

15 

23 

39 

46 

10 

1 

1 

6 

23 

11 

10 

10 

I 

48 

2 

3 

8 

6 

11 

1 

21 

24 

40 

166 

1 

2 

17 

72 

29 

31 

7 

18 

190 

20 

23,339 



34 



12 



29 

5 
5,950 



NEW YORK— Continued 

New York Mills 

Niagara Falls 

Niagara 

Niskayuna 

Nissequogue 

Norfolk 

North Castle 

North Greenbush 

Northport 

North Syracuse 

North Tarrytown 

North Tonawanda 

Northville 

Norwich 

Norwood 

Nyack 

Ogden 

Ogdensburg 

Old Brookville 

Old Westbury 

Olean 

Oneida 

Oneonta 

Orangetown ..-. 

Orchard Park 

Oriskany 

Ossining 

Ossining Town 

Oswego 

Owego 

Oxford Town and Village 

Oyster Bay Cove 

Painted Post 

Palmyra 

Pawling 

Peekskill 

Pelham Manor 

Pelham 

Penn Yan 

Perry 

Piermont 

Pittsburgh 

Pleasantville 

Port Chester 

Port Dickinson 

Port Henry 

Port Jervis 

Portville 

Port Washington 

Potsdam 

Poughkeepsie 

Poughkeepsie Town 

Pulaski 

Putnam Valley 

Quogue 

Ramapo 

Randolph 

Red Hook 

Rensselaer 

Riverhead 

Rochester 

Rockville Centre 



3 
164 

4 

29 

3 

1 

25 

4 

19 

13 

25 

53 

1 

20 

1 

24 

8 

29 

34 

24 

38 

29 

26 

86 

27 

1 

47 

10 

52 

13 

1 

6 

3 

6 

2 

58 

28 

24 

11 

6 

6 

44 

22 

59 

4 

1 

20 

3 

69 

1 

82 

72 

1 

17 

4 

94 

1 

2 

28 

59 

735 

58 



3 

151 

4 

24 

3 

1 

24 

3 

19 

9 

25 

50 

1 

18 

1 

23 

7 

24 

31 

22 

37 

22 

25 

79 

26 

1 

42 

10 

49 

9 

1 

6 

3 

5 

2 

42 

26 

24 

11 

6 

6 

41 

21 

56 

4 

1 

20 

3 

60 

15 

71 

62 

1 

10 

4 

89 

1 

2 

26 

53 

598 

52 



291 



Table 75. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1983 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



NEW YORK— Continued 



Rome 

Rotterdam 

Rouses Point 

Rye Brook 

Sacketts Harbor 

Sag Harbor 

Saint Johnsville 

Salamanca 

Salem Village 

Sands Point 

Saranac Lake 

Saratoga Springs 

Saugerties Town 

Saugerties Village ,... 

Scarsdale 

Schenectady 

Schodack 

Schoharie , 

Scotia 

Seneca Falls 

Shelter Island 

Sherrill 

Sidney 

Silver Creek 

Skaneateles 

Sloatsburg 

Sodus Point 

Solvay 

Southampton Town ., 
Southampton Village 
South Glens Falls .... 

South Nyack 

Southold 

Southport 

Spring Valley 

Stony Point 

Suffem 

Syracuse 

Tarrytown 

Tonawanda 

Tonawanda Town 

Troy 

Trumansburg 

Tuckahoe 

Tupper Lake 

Tuxedo 

Tuxedo Park 

Ulster 

Utica 

Vernon 

Vestal 

Walden 

Walton 

Wappingers Falls 

Warsaw 

Warwick 

Warwick Town... 

Waterford 

Waterloo 

Watertown 

Watervliet 

Walkins Glen 




76 

47 

1 

20 

1 

9 

3 

13 

1 

20 

17 

59 

20 

9 

46 

166 

6 

1 

13 

17 

6 

4 

9 

8 

5 

6 

1 

17 

89 

24 

7 

5 

39 

1 

43 

23 

28 

542 

32 

34 

138 

133 

1 

25 

11 

9 

8 

13 

189 

2 

33 

11 

6 

6 

5 

9 

12 

8 

8 

67 

26 

9 



68 

39 

1 

20 

1 

8 

3 

13 

1 

20 

15 

56 

16 

9 

43 

150 

5 

1 

13 

15 

6 

4 

9 

5 

5 

5 

1 

12 

68 

17 

6 

5 

34 

1 

38 

22 

23 

433 

28 

33 

118 

114 

1 

22 

9 

7 

5 

9 

182 

2 

27 

8 

5 

3 

5 

8 

10 
5 
7 
64 
26 
5 



109 



NEW YORK— Continued 



Waverly 

Webb 

Webster 

WellsviUe 

Westhampton Beach.. 

West Seneca 

Wheatland 

Whitehall 

White Plains 

Whites boro 

Willsboro 

Windham 

Wolcott 

Woodbury 

WoodhuU 

Woodridge 

Woodstock 

Yonkers 

Yorktown 

Yorkville 



NORTH CAROLINA 



Aberdeen 

Ahoskie 

Albemarle 

Andrews 

Angier 

Apex 

Archdale 

Arlington 

Asheboro 

Asheville 

Atlantic Beach 

Aulander 

Ayden 

Bailey 

Bakersville 

Banner Elk 

Battleboro 

Beaufort 

Belhaven 

Belmont 

Benson 

Bessemer City 

Bethel 

Beulaville 

Biltmore Forest 

Biscoe 

Black Creek 

Black Mountain 

Bladenboro 

Blowing Rock 

Boiling Spring Lakes.. 

Boiling Springs 

Boone 

Boonville 

Brevard 

Bridgeton 

Broadway 

Brookford 

Brunswick 

Bryson City 



16 

4 

34 

14 

12 

69 

4 

4 

242 

4 

1 

1 

2 

9 

1 

1 

10 

515 

53 

2 



16 

4 

26 

10 

12 

65 

3 

4 

195 

4 

1 

1 

2 

6 

I 

1 

6 

452 

45 

2 



14 


11 


3 


20 


16 


4 


38 


37 


1 


5 


5 




10 


5 


5 


14 


10 


4 


9 


8 


1 


I 


1 




39 


32 


7 


160 


128 


32 


17 


12 


5 


3 


3 
11 




13 


2 


4 


4 




1 


1 




5 


5 




4 


4 




13 


13 




8 


7 


1 


14 


11 


3 


13 


8 


5 


14 


12 


2 


10 


6 


4 


3 


3 




10 


10 




5 


5 




3 


3 




11 


10 


1 


4 


4 




11 


7 


4 


4 


4 




3 


3 




25 


24 


1 


1 


1 

16 

1 

3 
2 

1 




20 
1 


4 


3 




7 




1 




5 


5 





292 



Table 75. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1983 — Continued 



City 



NORTH CAROUNA— Continued 



Bunn 

Burgaw 
Burlington 
Butner 

Calypso 

Candor 

Canton 

Cape Carteret .... 
Carolina Beach.. 

Carrboro 

Cary 

Chadboum 

Chapel Hill 
Charlotte 

Cherryville 

China Grove 

Claremont 

Clarkton 

Clayton 

CUnton 

Clyde 

Coats 

Concord 

Conover 

Conway 

Cornelius 

Cramerton 

Creedmoor 
Dallas 

Davidson 

Denton 

Dobson 

Drexel 

Dunn 

Durham 

Eden 

Edenton 

Elizabeth City... 
Elizabethtown 

Elkin 

Ellerbe 

Elm City 

Elon College 

Emerald Isle 

Enfield 

Erwin 

Eureka 

Fair Bluff 

Fairmont 

Faison 

Farmville 

Fayetteville 

Forest City 

Fountain 

FrankUn 

Franklin ton 

Fremont 

Fuquay-Varina . 

Gamer 

Gastonia 

Gibson 

Gibsonville 

Goldsboro 

Graham 



Total 

police 

employee 



2 

5 

104 

43 

1 

4 

16 

3 

17 

22 

25 

9 

71 

791 

15 

4 

4 

3 

17 

29 

2 

4 

48 

12 

2 

4 

5 

10 

9 

11 

3 

4 

5 

32 

378 

44 

17 

39 

9 

17 

3 

3 

7 

15 

13 

12 

1 

4 
13 
2 
16 
172 
22 



5 
3 

16 
22 
145 
1 
11 
89 
16 



Total 
officers 



2 
5 

84 

38 
1 
4 

13 
3 

13 

20 

23 
7 

61 
635 

13 
4 
4 
3 

12 

22 
2 
4 

42 

12 
1 
4 
5 
8 
9 

10 
3 
4 
5 

26 
330 

42 
16 

32 

9 

15 

3 

3 

7 

11 

9 

7 

1 

4 

9 

2 

12 

145 
19 
2 



11 
20 

127 



Total 
civilians 



20 
5 



4 
2 
2 
2 
10 
156 
2 



City 



6 

48 

2 



27 



NORTH CAROLINA— Continued 



18 



Granite Falls 

Greensboro 

Greenville 

Grifton 

Grover 

Hamlet 

Havelock 

Haw River 

Hazelwood 

Henderson 

Hendersonville 

Hertford 

Hickory 

Highlands 

High Point 

Hillsborough 

Holden Beach 

Holly Springs 

Hope Mills 

Hudson 

Huntersville 

Indian Beach 

Jackson 

Jacksonville 

Jefferson 

Jonesville 

Kannapolis 

Kenansville 

Kenly 

Kemersville 

Kill Devil HUls 

Kings Mountain 

Kinston 

Knightdale 

La Grange 

Lake Lure 

Landis 

Laurel Park 

Laurinburg 

Lenoir 

Lewiston-Woodville.. 

Lexington 

Liberty 

Lilesville..... 

Lillington 

Lincolnton 

Locust 

Long Beach 

Longview 

Louisburg 

Lowell 

Lucama 

Lumberton 

Madison 

Maiden 

Manteo 

Marion , 

Mars Hill 

Marshville 

Mayodan 

McAdenville 

Mebane 

Middlesex 

Mocksville 

Monroe 



Total 

police 

employees 



10 
483 

82 
5 
1 

19 

25 
2 
7 

45 

37 
5 

85 

7 

177 

11 
4 
1 

12 

10 



86 



45 



Total 
officers 



22 

14 

23 

72 

3 

7 

3 

4 

1 

27 

51 

2 

60 

9 

1 

6 

20 

1 

16 

10 

9 

7 

4 

50 

14 



Total 
civilians 



10 
375 
69 
5 
1 
15 
22 
2 
7 
41 
27 
5 
57 
7 
155 
10 
4 
1 
7 
9 
3 
2 
2 
70 
1 
4 
45 
2 
4 
17 
14 
19 
66 
3 
7 
3 
4 
1 
26 
47 
1 
49 
5 
1 
6 
19 
1 
14 
9 
9 
6 
4 
43 
10 
9 
4 
14 
5 
5 
7 
3 
11 
4 
9 
56 



108 
13 



4 
10 



28 



22 



16 



1 

4 

1 

11 

4 



2 

1 

1 

10 



293 



Table 75. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1983 — Continued 



City 



NORTH CAROLINA— Continued 



Montreal 
Mooresville 

Morehead Cit> 

Morganton 

Morven 

Mount Airy 
Mount Gilead 
Mount Holly 
Mount Olive 
Murfreesboro 
Murphy 
Nags Head 
Nashville 
New Bern 

Newland 

Newport 

Newton 

Newton Grove 

North Kannapolis . 
North Wilkesboro 

Norwood 

Oakboro 

Oriental 

Oxford 

Pembroke 

Pikeville 

Pine Level 

Pilot Mountain 

Pinebluff 

Pinehurst 

Pine Knoll Shores. 

Pinetops 

Pineville 

Pink Hill 

Pittsboro 

Plymouth 

Polkton 

Princeton 

Raeford 

Raleigh 

Ramseur 

Randleman 

Ranlo 

Red Springs 

Reidsville 

Richlands 

River Bend 

Roanoke Rapids 

Robbins 

Robbinsville 

Robersonville 

Rockingham 

Rocky Mount 

RolesviUe 

Rose Hill 

Rowland 

Roxboro 

Saint Pauls 

Salisbury 

Saluda 

Sanford 

Scotland Neck 

Seaboard 

Selma 



Total 

police 

employees 



5 
24 
17 
57 

2 
30 

5 
15 
17 
12 

8 
10 

6 
49 

2 

3 
29 

2 
22 
20 

4 

2 

I 
24 

9 



16 



Total 

officers 



5 

12 
I 
3 

15 

388 

5 

6 

5 

12 

40 

3 

2 

38 

6 

5 

5 

22 

131 

3 

4 

4 

27 

11 

70 

2 

47 

14 

2 

17 



I 
3 

12 
330 
5 
6 
5 
9 

37 
3 
2 

29 
5 
5 
5 

18 
109 
3 
4 
4 

22 
7 

53 
2 

41 
9 
2 

13 



Total 
civilians 



10 



City 



58 



NORTH CAROLINA— Continued 



Shelby 
Siler City 

Smithfield 

Southern Pines --. 
Southport 
Sparia 
Spindale 

Spring Hope 

Spnng Lake 

Stanfield 
Stanley 

Stantonsburg 

Star 

Statesville 

Stoneville 

Sunset Beach 

Surf City 

Swansboro 

Sylva 

Tarboro 

Taylorsville 

Thomasville 

Topsail Beach 

Trent Woods 

Troutman 

Troy 

Tryon 

Valdese 

Vanceboro 

Vass 

Wadesboro 

Wagram 

Wake Forest 

Wallace 

Walnut Cove 

Warrenton 

Warsaw 

Washington 

Waxhaw 

Waynesville 

Weldon 

Wendell 

West Jefferson 

Whispering Pines... 

White Lake 

Whiteville 

Wilkesboro 

Williamston 

Wilmington 

Wilson 

Windsor 

Winston-Salem 

Winterville 

Woodfin 

Woodland 

Wrightsville Beach . 

Yadkin ville 

Zebulon 



NORTH DAKOTA 



Total 
police 

employees 



Bismarck 

Bowman 

Carrington . 
Devils Lake. 



49 
13 
28 
24 
11 

6 
10 

5 
16 

2 

6 
3 
4 
64 
4 
4 
4 
4 
7 

30 
5 

45 
4 
2 
1 
5 

10 
9 
1 
2 

22 
1 

13 

14 
4 
9 

12 

29 
4 

21 
9 
7 
6 
5 
5 

22 

10 

15 
129 

81 
6 
<12 
5 
6 
2 

21 
5 
9 



Total 
officers 



38 
10 
24 
20 

8 

5 
10 

5 
10 

2 



4 

55 

4 

4 

4 

4 

7 

21 

5 

37 

- 4 

2 

1 

5 

9 

9 

I 

2 

16 

1 

9 

11 

4 

5 

9 

25 

4 

21 

6 

7 

6 

5 

5 

16 

9 

14 

99 

69 

6 

325 

5 

6 

I 

16 

5 



Total 
civilians 



294 



able 75. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1983 — Continued 



City 



NORTH DAKOTA— Conrinued 



>ickinson 

llendale 

argo 

irafton 

Jrand Forks 

larvey 

lazen 

lillsboro 

amestown 

.angdon 

.isbon 

Randan 

iayville 

linot 

^ugby 

'alley City ... 

V'ahpeton 

Vatford City. 
Vest Fargo.... 
Villiston 



OHIO 



Lda 

Lkron 

alliance 

k,mberley 

Lmherst 

knsonia 

trchbold 

Arlington Heights 

tshland 

ishtabula 

Athens 

v.urora 

^von Lake 

iainbridge 

)arberton 

)ath Township 

3ay Village 

Jeachwood 

Jeavercreek Township.. 

3eaver Township 

Bedford 

Bedford Heights 

3ellaire 

3ellbrook 

Bellefontaine , 

Bellevue 

Betpre 

Berea 

Bexley 

Blanchester 

Blendon Township 

Blue Ash 

Bluffton 

Boardman Township ... 

Bowling Green 

Bradford 

Brady Lake 

Brecksville 

Brewster 

Bridgeport 

Broadview Heights 

Brookfield Township... 

Brooklyn 

Brooklyn Heights 

Brook Park 

BrookviUe 



Total 
police 

employees 



43 

2 

101 

15 

75 

3 

5 

1 

31 

3 

2 

31 

2 

66 

7 

15 

18 

5 

17 

34 



Total 

officers 



Total 
civilians 



10 


6 


459 


423 


41 


37 


17 


16 


17 


12 


2 


2 


5 


5 


5 


5 


35 


28 


37 


30 


26 


21 


20 


15 


25 


25 


11 


10 


40 


39 


13 


10 


23 


22 


39 


31 


36 


28 


8 


5 


31 


26 


40 


31 


15 


15 


9 


6 


21 


18 


14 


11 


13 


9 


37 


30 


30 


24 


8 


4 


8 


8 


34 


28 


5 


5 


44 


34 


40 


31 


3 


3 


2 


2 


25 


21 


4 


4 


8 


5 


18 


14 


9 


4 


32 


26 


9 


9 


51 


44 


9 


8 



36 



City 



OHIO— Continued 



10 



Brunswick 

Bryan 

Buckland 

Bucyrus 

Cadiz 

Caledonia 

Cambridge 

Canfield 

Canton 

Carey 

Carlisle 

Carrollton 

Centerville 

Chagrin Falls 

Chardon 

Chester Township 

Cheviot 

Chillicothe 

Cincinnati 

Circleville 

Clay Township 

Clear Creek Township 

Cleveland 

Clinton Township 

Clyde 

Coldwater 

Colerain Township 

Columbiana 

Columbus 

Conneaut 

Copley 

Cortland 

Covington 

Crestline 

Cuyahoga Falls 

Dal ton 

Dayton 

Deer Park 

Defiance 

Delaware 

Delhi Township 

Delta 

Dennison 

Deshler 

Doylestown 

Dublin 

East Cleveland 

Eastlake 

East Palestine 

Eaton 

Elmwood Place 

Elyria 

Englewood 

Euchd 

Evendale 

Fairbom 

Fairfax 

Fairfield 

Fairfield Township 

Fairlawn 

Fairport Harbor 

Fairview Park 

Fayette 

Forest Park 

Fort Shawnee 

Franklin 

Fremont 

Gahanna 

Gallon 

Gallipolis 

Garfield Heights 



Total 

police 

employees 



Total 
officers 



33 

19 

4 

22 

6 

1 

29 

15 

196 

10 

g 

5 

24 

18 

12 

17 

10 

43 

1,112 

29 

3 

7 

2.134 

10 

12 

5 

19 

13 

1,521 

20 

15 

7 

7 

12 

70 

7 

577 

10 

30 

3S 

21 

5 

5 

2 

5 

18 

72 

36 

9 

15 

7 

74 

17 

136 

18 

49 

9 

46 

6 

18 

5 

30 

3 

24 

4 

21 

35 

31 

22 

22 

58 



25 

14 

4 

18 

6 

I 

25 

10 

178 

7 

8 

5 

18 

11 

10 

13 

9 

40 

967 

20 

3 

6 

1,853 

10 

10 

5 

18 

8 

1,191 

15 

11 

7 

4 

10 

58 

5 

474 

9 

22 

29 

19 

5 

5 

2 

4 

16 

60 

27 

6 

10 

7 

69 

13 

99 

17 

35 



Total 
civilians 



9 




39 


7 


6 




14 


4 


5 




28 


2 


1 




22 


2 


3 


1 


16 


5 


32 


3 


26 


5 


18 


4 


18 


4 


48 


10 



295 



Table 75. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1983— Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



OHIO— Continued 



Gates Mills 

Geneva 

Genoa 

Germantown 

German Township 

Gibsonburg 

Girard 

Glendale 

Golf Manor 

Goshen Township 

Grandview Heights 

Granville 
Greenfield . 
Greenhills 

Greenville 

Grove City 

Hamilton 

Hamler-Marion Township . 

Harrison 

Hartville 

Hicksville 

Highland Heights 

Hillsboro 

Hinckley Township 

Howland Township . . 

Hubbard 

Hubbard Township 

Huber Heights 

Hudson 

Hunting Valley 

Independence 

Indian Hill 

Ironton 

Jackson 

Jackson Township 

Jefferson 

Jefferson Township 

Johnstown 

Kent 



Kettering 

Lakemore 

Lakewood 

Lancaster 

Lawrence Township 

Lebanon 

Leipsic 

Lexington 

Liberty Township 

Lima 

Lisbon 

Lockland 

Logan 

Lorain i 

Loudonville 

Louisville 

Loveland 

Lowell 

Lyndhurst 

Madeira 

Madison Township (Montgomery County).. 

Madison Township (Lake County) 

Manchester 

Mansfield 

Maple Heights 

Mariemont 

Marietta 

Marion 

Martins Ferry 

Marysville 



16 
13 

2 
13 

5 

4 
24 

6 
10 

5 
22 

7 
10 

7 
26 
30 
106 

1 
14 

4 

8 
23 
16 

7 
19 
17 
10 
45 
13 
12 
23 
21 
18 
16 
20 

6 
10 

8 
36 
101 

5 
93 
73 

3 
24 

4 

8 
25 
92 

9 
14 
16 
91 
11 
13 
12 

1 
37 
12 
18 
17 

3 

112 

56 

9 
32 
37 
17 
17 



9 

2 

g 

5 

4 

20 

6 

6 

5 

17 

7 

9 

7 

22 

24 

101 

1 

10 

4 

7 

18 

13 

7 

15 

13 

6 

35 

9 

11 

18 

16 

14 

12 

15 

5 

6 

4 

27 

80 

4 

78 

55 

3 

18 

3 

5 

19 

78 

5 

14 

11 

87 

7 

10 
12 
1 
29 
11 
16 
12 
2 
81 
49 
9 
24 
3t) 
16 
11 



IC 



OHIO— Continued 

Mason 

Massillon 

Maumee 

Mayfield 

Mayfield Heights 

McConnelsville 

Medina 

Mentor 

Mentor-on-the-Lake 
Metamora 
Miamisburg .. . 

Miami Township 

Middleburg Heights 

Middlefield 

Middletown 

Milford 

Minerva 

Mingo Junction 

Mogadore 

Monroe 

Montgomery 

Montpelier 

Moraine 

Mount Sterling 

Munroe Falls 

Napoleon , 

Navarre 

NelsonviUe 

Newark 

New Boston 

Newburgh Heights 

Newcomerstown 

New Lebanon 

New Lexington 

New Philadelphia 

New Richmond 

Newtown 

Niles 

Northampton Township 

North Canton 

North College Hill 

North Kingsville 

North Olmsted 

North Ridgeville 

Northwood 

Norton 

Norwalk 

Norwood : 

Oak Harbor 

Oakwood 

Oakwood Village 

Oberlin 

Olmsted Falls 

Ontario 

Oregon 

Orrville 

Ottawa 

Ottawa Hills .' 

Oxford 

Painesville 

Parkman Township 

Parma 

Pepper Pike 

Perrysburg 

Perry Township (Montgomery County) 

Perry Township (Stark County) 

Pierce Township 

Piqua 

Port Clinton 

Portsmouth 



20 

32 


18 

27 


6 


6 


111 


87 


13 


10 


12 


8 


11 


9 


7 


7 


4 
17 




16 


6 


6 


32 


- 25 


11 


5 


6 


5 


17 


13 


4 


4 


9 


7 


67 


57 


10 


8 


8 


5 


11 


7 


7 


7 


U 


7 


23 


18 


5 


5 


4 


4 


34 


29 


10 


10 


23 


17 


14 


13 


4 


4 


53 


43 


30 


24 


15 


11 


18 


13 


24 


19 


52 


51 


5 


4 


37 


30 


14 


11 


17 


13 


12 


8 


16 


13 


42 


34 


19 


14 


6 


6 


11 


10 


28 


22 


33 


25 


10 


10 


108 


89 


20 


14 


21 


15 


3 


3 


14 


12 


11 


10 


28 


23 


15 


11 


44 


39 



296 



ible 75. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1983 — Continued 



aty 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



ToUl 

police 

employees 



Total 
officers 



Total 
civilians 



OHIO— Continued 

ndolph Township 

venna 

ading 

ynoldsburg 

:hfield 

hmond Heights 

;hwood 

:tman 

t-erside 

ssford 

nt Bernard 

nt Marys 

em 

ineville 

idusky 

'ring 

'en HUls 

idyside 

aker Heights 

ironville 

jfTield Lake 

;lby 

ney 

/erton 

ith Township 

on 

jth Euclid 

ith Russell 

:ncerville 

ingboro 

ingdale 

ingfield 

■ingfield Township 

ubenville 

w 

eetsboro 

ongsville 

anton 

vania 

vania Township 

llmadge 

rrace Park 

fm 

)p City 

ledo 

ronto 

;nton... 

3twood. 

ay 

'insburg 

irichsville 

lion City 

lion Township (Butler County) 

lion Township (Clermont County) 
lion Township (Licking County)... 

liversity Heights 

)per Arlington 

)per Sandusky 

bana 

Hey View 

jidalia 

in Wert 

rmilion ■. 

adsworth 

aite Hill 

alton Hills 



11 
23 
23 
38 
12 
25 

4 
12 

4 
13 
18 
14 
20 

1 
48 

8 
15 

9 
83 
28 
12 
20 
34 
13 

3 
35 
44 

9 

4 

7 
29 
125 
33 
41 
39 
16 
40 

5 
31 
26 
30 

6 

42 

14 

806 

9 
11 
22 
37 
24 

7 

3 
28 
28 

3 

36 
51 
10 
22 
10 
27 
25 
22 
25 

5 
11 



10 
17 
20 
27 

8 
19 

4 

9 

4 
13 
IS 
10 
19 

1 
42 

6 
14 

5 
67 
24 

9 
15 
28 
10 

3 
29 
37 

9 

4 

5 
25 
100 
25 
38 
26 
11 
34 

5 
26 
23 
20 

5 

34 

10 

753 

9 

7 
17 
31 
17 

7 

3 
23 
21 

3 
27 
47 

9 
18 

9 
17 
20 
18 
20 

5 

8 



10 



10 



OHIO— Continued 

Wapakoneta 

Warren 

Warrensville Township 

Warrensville Heights 

Washington Court House 

Waterville 

Wauseon 

Waverly 

Waynesville 

Wellington 

Wellsville 

West Carrollton 

Westerville 

West Jefferson 

Westlake 

Weston 

West Union 

Whitehall 

Wickliffe 

Willard 

Willoughby 

Willoughby Hills 

Wilmington 

Windham 

Woodlawn 

Woodville 

Wooster 

Worthington 

Wyoming 

Xenia 

Yellow Springs 

Youngstown 

Zanesville 

OKLAHOMA 

Ada 

Altus , 

Alva 

Anadarko 

Antlers 

Ardmore 

Arkoma 

Atoka 

Bamsdall 

Bartlesville 

Beggs 

Bethany 

Bixby 

Blackwell 

Blanchard 

Bokoshe 

Bristow 

Broken Arrow 

Broken Bow 

Buffalo 

Bums Flat 

Canute 

Carnegie 

Catoosa 

Chandler 

Checotah 

Chelsea 

Cherokee 

Chickasha 

Choctaw 

Chouteau 



n 


13 




100 


84 


16 


4 


4 




43 


37 


6 


21 


15 


6 


7 


7 




8 


8 




15 


10 


5 


2 


2 




6 


4 


2 


9 


8 


1 


28 


21 


7 


40 


34 


6 


12 


8 


4 


38 


34 


4 


2 


2 




4 


4 




47 


38 


9 


33 


29 


4 


15 


11 


4 


45 


35 


10 


17 


13 


4 


23 


17 


6 


7 


5 


2 


14 


13 


1 


5 


5 




40 


35 


5 


34 


28 


6 


17 


13 


4 


49 


39 


10 


11 


7 


4 


247 


226 


21 


78 


62 


16 



36 
43 
14 
23 

9 
49 

2 
15 

5 
69 

8 
33 
16 
21 

5 

1 
14 
63 
16 

2 

9 

1 
11 
11 

7 
11 

9 

8 
36 
12 

6 



297 



Table 75. — Number of Full-time Lavp Enforcement Employees, Cities, October 31, 1983 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



OKLAHOMA— Continued 



Claremore .... 

Clayton 

Cleveland 

Clinton 

Coalgate ...... 

Collinsville 
Comanche .... 

Commerce.... 

Coweta 

Coyle 

Crescent 

Cushing 

Davis 

Del City 

Dewar 

Dewey 

Drtimright 

Duncan 

Durant 

Edmond 

Elk City 

Elmore City. 
El Reno 

Enid 

Erick 

Eufaula 

Fairfax 

Fairview 

Forest Park ., 
Fort Gibson., 

Frederick 

Geary 

Glencoe 

Glenpool 

Goodwell 

Gore 

Granite 

Grove 

Guthrie 

Guymon 

Haileyville 

Hall Park 

Harrah 

Hartshome . . . . 
Haskell 
Healdton . 

Heavener 

Hennessey 

Henryetta 

Hobart 

Holdenville... 

Hollis 

Hominy 

Hugo 

Hulbert 

Idabel 

Inola 

Jay 

Jenks 

Jones 

Kingfisher 

Kingston 

Konawa 

Krebs 

Laveme 

Lawton 



25 

5 

6 

26 

6 

7 

5 

4 

13 

2 

4 

22 

12 

44 

1 

11 

10 

46 

33 

78 

25 

35 

104 

3 



10 
3 
5 

14 

6 

1 

12 

1 

3 

3 

16 

29 

16 

1 

2 

8 

g 

6 

8 

4 

5 

14 

10 

15 

9 

7 

16 

3 

22 

7 

9 

16 

5 

8 

3 

7 

3 

2 

174 



20 
5 
6 

20 
5 
3 
5 
4 

13 
2 
4 

16 
9 

35 
1 
9 
5 

40 

29 

56 

25 
1 

34 

83 
3 
6 
4 
7 
3 
4 

10 
4 
1 
8 
1 
3 
3 

10 

22 

II 
I 
2 
7 
5 
6 
5 
4 
4 

12 
8 

15 
5 
7 
9 
3 

22 
5 
4 

12 
5 
7 
3 
5 
3 
2 
138 



22 



21 



OKLAHOMA— Continued 



36 



Lindsay 

Locust Grove 

Lone Grove 

Luther 

Madill 

Mangum 

Mannford 

Marietta 

Marlow 

Maud 

Maysville 

McAlester 

McCurtain 

McLoud 

Meeker 

Miami 

Midwest City 

Moore 

Morris 

Muldrow..... 

Muskogee 

Mustang 

Newcastle 

Newkirk 

Nichols Hills 

Nicoma Park 

Noble 

Norman 

Nowata 

Oilton 

Okeene 

Okemah 

Oklahoma City.... 

Okmulgee 

Oologah 

Owasso 

Paoh 

Pauls Valley 

Pawhuska 

Pawnee 

Perkins 

Perry 

Piedmont 

Pocola 

Ponca City 

Porter 

Porum 

Poteau 

Prague 

Pryor 

Purcell 

Quinton 

Ringling 

Roland 

Rush Springs 

SaUna 

Sallisaw 

Sand Springs 

Sapulpa 

Sayre 

Seminole 

Shattuck 

Shawnee 

Shidler 

Skialook 

Snyder 

South Coffeyville. 



6 
5 

10 
12 
8 
6 
11 
3 
4 

38 
1 
9 
4 

36 

122 

68 

6 

7 

100 

1 

10 
5 

21 
8 

II 
133 
8 
2 
6 
6 
944 

35 
2 

21 
3 

19 

16 
5 
3 

14 
5 
8 

59 
1 
3 

16 
9 

23 

21 
4 
3 
9 
4 
6 

10 

32 

37 

10 

19 
6 

66 
1 

13 
2 
2 



298 



e 75. — Number of Full-time Law Enforcement Employees, Oties, October 31, 1983 — Continued 



City 



OiOAHOMA— Continued 



ater 

=11 

"ord 

id 

lur 

^uah ... 

ina , 

mseh.... 
mingo . 
awa 



n City . 



86 



;rs 

iier 

Acres... 

Niga 

i'S 

■ika 

loka 

herford.. 

etka 

ville 

mka 

oka 

lurton 

\m 

idward ... 
ht City. 
Inewood . 
ona 



OREGON 



iny 

ty 

igton .. 
and ,,.. 

da 

ma 

isville.. 
wa 



Ion 



/erton.. 

J 

rdman . 
)kings.. 



Falls 

by 

non Beach . 

yonville 

Iton 

tral Point... 

:skanie 

'urg 

idon 

s Bay 



Total 

police 

employees 



9 

5 

6 

57 

11 

8 

11 

15 

31 

7 

15 

13 

11 

823 

6 

1 

10 

3 

24 

16 

16 

4 

2 

24 

12 

1 

8 

9 

21 

4 

4 

5 

12 



34 



42 
2 
1 

28 

23 
2 
3 
1 

16 
6 
2 

59 

43 
4 

12 
9 
1 

17 
4 
4 
1 

13 
6 
2 
1 

35 



Total 

officers 



Total 
civilians 



4 
6 

45 
8 
5 
7 
9 

25 
4 

10 
9 
7 
648 
3 
1 
5 
3 

19 

10 

12 
4 
2 

18 
9 
1 
5 
5 

21 
4 
3 
5 
8 
6 
3 

25 
4 
5 
1 
3 

22 



12 



12 
3 
3 
4 
6 
6 
3 
5 
4 
4 
175 



City 



10 



OREGON— Continued 



8 



Coquille 

Cornelius 

Corvallis 

Cottage Grove 

Culver 

Dallas 

Dayton 

Dundee 

Eagle Point 

Eastside 

Elgin 

Enterprise 

Eugene 

Florence 

Forest Grove 

Garibaldi 

Gaston 

Gearhart 

Gladstone 

Gold Beach 

Gold HUl 

Grants Pass 

Gresham 

Hammond 

Heppner 

Hermiston 

Hillsboro 

Mines 

Hood River 

Hubbard 

Independence 

Irrigon 

Jacksonville 

Jefferson 

John Day 

Junction City 

Klamath Falls 

La Grande 

Lake Oswego 

Lakeside 

Lebanon 

Lincoln City 

Madras 

Malin 

McMiimville 

Medford 

Merrill 

Milton-Freewater . 

Milwaukie 

Molalla 

Monmouth 

Monroe 

Mount Angel 

Myrtle Creek 

Myrtle Point 

Newberg 

Newport 

North Bend 

North Plains 

Nyssa 

Oakland 

Oakridge 

Ontario 

Oregon City 

Pendleton 

Philomath 

Phoenix 

Pilot Rock 

Portland 

Powers 



Total 

police 

employees 



Total 
officers 



11 

10 

61 

20 

1 

15 

3 

3 

10 

4 

5 

4 

206 

12 

22 

2 

1 

2 

19 

4 

2 

32 

59 

1 

4 

20 

39 

2 

10 

5 
9 

1 
4 

3 
9 
10 
36 
25 
50 

1 
26 
21 

6 

1 
25 
80 

2 

12 
29 
11 
10 

1 

4 
13 
11 
27 
19 
16 

2 
10 

3 

8 
23 
32 
31 

7 

6 

2 
866 

3 



7 

9 

39 

13 

1 

14 

2 

2 

6 

4 

4 

4 

139 

7 

16 

2 

1 

2 

12 

4 

2 

22 

40 

1 

4 

13 

35 

2 



Total 
civilians 



16 


9 


33 


17 


20 


6 


16 


5 


5 
1 


1 


20 


5 


64 


16 


? 




7 


5 


22 


7 


9 


2 


9 
1 


1 


4 




8 


5 


6 


5 


18 


9 


16 


3 


12 


4 


? 




6 


4 


3 




4 


4 


16 


7 


26 


6 


22 


9 


6 


1 


5 


1 


7 




687 


179 


3 





299 



Table 75. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1983 — Continued 



City 



Total 

police 

employees 



Total 

officers 



Total 
civilians 



aty 



Total 

police 

employees 



Total 
officers 



OREGON— Continued 

Prairie City , 

Prineville 

Rainier 

Redmond 

Reedsport 

Rockaway 

Rogue River 

Roseburg 

Saint Helens 

Salem 

Sandy 

Scappoose 

Seaside 

Shady Cove 

Sheridan 

Sherwood 

Silverton 

Sisters 

Springfield 

Stanfield 

Stayton 

Sutherlin 

Sweet Home 

Talent 

The Dalles 

Tigard 

Tillamook 

Toledo 

Troutdale 

Turner 

Umatilla 

Umatilla Tribal 

Union 

Vale 

Vemonia 

Waldport 

Warrenton 

West Linn 

Weston 

Willamina 

Winston 

Woodbum 

Yamhill 

PENNSYLVANIA 

Abington Township 

Adams Township 

Akron 

Albion 

Aldan 

Aliquippa 

Allegheny Township (Blair County) 
Allegheny Township (Westmoreland 

County) 

Allentown 

Altoona 

Ambler 

Ambridge 

Amity Township 

Annville 

Apollo 

Archbald 

Armagh Township , 

Arnold 

Ashland 

Ashley 

Aspinwall 



2 

15 

5 

23 

17 

3 

4 

39 

20 

197 

8 

7 

20 

2 

4 

6 

10 

9 

70 

3 

15 

12 

22 

5 

18 

29 

8 

11 

10 

3 

14 
15 
1 
4 
4 
4 
4 
17 
2 
3 
12 
31 



2 

9 

5 

15 

12 

3 

4 

29 

15 

135 

7 

5 

14 
2 
4 
5 
9 
4 
51 
3 



104 


89 


1 


1 


3 


3 


2 


2 


5 


5 


17 


17 


4 


4 


3 


3 


192 


160 


112 


88 


13 


12 


14 


14 


4 


4 


4 


4 


1 


1 


4 


4 


2 


2 


14 


10 


7 


7 


3 


3 


6 


5 



10 



62 



10 



15 



PENNSYLVANIA— Continued 



Aston 

Athens 

Athens Township 

Avalon 

Avoca 

Baden 

Baldwin 

Baldwin Township 

Bally 

Bangor 

Bamesboro 

Barrett Township 

Bath 

Beaver 

Beaver Falls 

Bedford 

Bedminster Township 

Belle Acres 

Belle Vernon 

Bellefonte 

Bellevue 

Bell wood ;.... 

Ben Avon 

Bensalem Township 

Bentleyville 

Benzinger Township 

Berlin 

Bern Township 

Berwick 

Bessemer 

Bethel Park 

Bethel Township 

Bethlehem 

Bethlehem Township 

Big Beaver 

Birdsboro 

Birmingham Township 

Blair 

Blairsville 

Blakely 

Blawnox 

Bloomsburg 

Blossburg 

Boyertown 

Brackenridge 

Braddock 

Braddock Hills 

Bradford 

Bradford Township 

Brentwood 

Briar Creek Township 

Bridgeport 

Bridgeville 

Bridgewater..... 

Brighton Township 

Bristol Township 

Brockway 

Brookhaven 

Brookville 

Brownsville 

Bryn Athyn 

Buckingham Township 

Burgettstown 

Bumham-Derry Township 

Bushkill Township 

Butler 

Butler Township (Butler County) 

Butler Township (Luzerne County) 

Butler Township (Schuylkill County) 
Caernarvon Township (Berks County) . 



19 

4 

3 

9 

3 

5 

27 

5 

1 

5 

2 

4 

3 

8 

20 

8 

4 

I 

2 

14 

20 

1 

4 

89 

2 

7 

2 

6 

16 

1 

41 

1 

149 

13 

2 

5 

4 

2 

7 

6 

4 

14 

3 

6 

4 

13 

6 

25 

4 

19 

2 

9 

II 

2 

3 

81 

4 

7 

9 

12 

4 

7 

2 

11 

2 

28 

21 

3 

5 

2 



300 



,Ie 75. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1983 — Continued 



CSty 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



PENNSYLVANIA— Continued 

■narvon Township (Lancaster Coimty) . 

fomia 

Township 

ibria Township 

[bridge Springs 

ip Hill 

onsburg 

ton 



X)ndale... 

isle 

nichaels . 



legie 

oil Township 

oU-Franklin Township. 

■oUtown 

le Shannon 



isauqua.. 
iwissa.... 



1 Township 

:er Township 

;erville 

;ral City 

;ralia 

Ifont 

mbersburg 

rleroi 

rtiers Township 

tenham Township., 
Iter 



iter Hill 

iter Township.. 

iwick 

ipewa 

rchill 

rton 



ion 

k 

ks Simunit.. 
rfield 



ina 

on Heights. 

ton 



ner 

Idale 

1 Township 

tesville 

hranton 

:brookdale Township 

irain-Little Britain Township . 

egeville 

ier Township 

ingdale 

jmbia 



wyn 

emaugh Township 

ewago Township (Adams County). 

ewago Township (York County) 

ewango Township (Warren County) . 

ifluence 

yngham Township 

lyngham 

inellsville 

ishohocken 



iway. 

tlbaugh Township.. 

fpersburg 

)lay 

aopolis 



1 

12 

11 

2 

3 

13 

15 

3 

12 

29 

1 

14 

3 

4 

1 

12 

9 

2 

8 

9 

3 

2 

1 

2 

27 

19 

3 

91 

116 

7 
3 
5 

10 

14 
9 
1 
6 
6 
2 

11 
1 
1 
2 

17 

26 
2 
3 
1 
4 

12 
9 

19 
4 
4 
3 
3 
5 



1 
6 

10 
2 
3 

13 

13 
3 

12 

28 
1 

13 
3 
4 
1 

11 
8 
2 
8 
9 
3 
2 
1 
2 

24 

13 
3 

82 
102 
1 
7 
3 
4 

10 

14 
8 
1 
6 
6 
2 

10 
1 
1 
2 

13 

21 
2 
3 
I 
4 

12 
8 

14 
3 
4 
3 
3 
5 
1 
1 
2 

18 

11 
4 
4 
4 
4 
10 



PENNSYLVANIA— Continued 

Cornwall 

Corry 

Coudersport 

Covington Township 

Cowanshannock Township 

Crafton 

Cranberry Township 

Crescent Township 

Cresson 

Cressona 

Cresson Township 

Croyle Township 

Cumberland Township (Adams County) .. 
Cumberland Township (Greene County).... 

Cumru Township 

Curwensville 

Dallas 

Dallas Township 

Dallastown 

Dalton 

Danville 

Darby 

Darby Township 

Daugherty Township 

Dauphin 

Delaware Water Gap 

Denver 

Derry 

Derry Township 

Dickson City 

Dillsburg 

Donegal Township 

Donora 

Dormont 

Douglass Township (Berks County) 

Douglass Township (Montgomery County) 

Downingtown 

Doylestown 

Doylestown Township 

Dravosburg 

Du Bois 

Duboistown 

Dunbar 

Duncannon 

Duncansville 

Dunmore 

Dupont 

Duquesne 

Duryea 

Dushore 

East Berlin 

East Bethlehem Township 

East Brandywine Township 

East Buffalo Township 

East Cocalico Township 

East Conemaugh 

East Deer Township 

East Earl Township 

East Franklin Township 

East Hempfield Township.... 

East Lampeter Township 

East Lansdowne 

East McKeesport 

East Norriton Township 

Easton 

East Pennsboro Township 

East Pikeland 

East Pittsburgh 



3 
3 
5 
6 
2 
2 
1 
3 

14 

13 

4 

3 

19 
46 
13 
4 
4 



301 



Table 75. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1983 — Continued 



aty 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



PENNSYLVANIA— Continued 

East Rock Hill Township 

East Stroudsburg 

East Taylor Township 

Easttown Township 

East Washington 

East Whiteland Township 

Ebensburg 

Economy 

Eddystone 

Edgewood 

Edgtworth 

Edinboro 

Edwardsville 

Elizabeth 

Elizabethtown 

Elizabeth Township 

Elizabethville 

Elkland 

Ellwood City 

Emmaus 

Emporium 

Emsworth 

Ephrata 

Ephrata Township 

Erie 

Etna 

Evans City 

Everett 

Everson 

Exeter Boro 

Exeter Township (Berks County) 

Exeter Township (Luzerne County) 

Fairchance 

Fairview 

Fairview Township 

Fallowfield Township 

Falls Creek 

Falls Township 

Farrell 

Fawn Township 

Fayette City 

Ferguson Township 

Femdale 

Findlay 

Fleetwood 

Folcroft 

Ford City 

Forest City 

Forest Hills 

Forks Township 

Forty Fort 

Forward Township 

Foster Township 

Fountain Hill 

Fox Chapel 

Frackville 

Franconia Township 

Franklin (Cambria County) 

Frankhn (Venango County) 

Franklin Park 

Franklin Township 

Freedom-Greenfield Township 

Freeland 

Freemansburg 

Freeport 

Galeton 



PENNSYLVANIA— Continued 



2 

12 
3 

14 
2 

12 
5 
5 
5 

16 
5 
7 
5 
2 

10 

13 
1 
2 

20 

19 
2 
6 

19 
3 
236 
9 
1 
3 
1 
3 

10 
1 
3 
1 

11 
3 
1 

46 

27 
2 
1 
S 
3 
6 
5 

11 
4 
2 

14 
8 
9 
2 
2 
8 

11 
6 
5 
2 

22 
6 
2 
2 
5 
4 
2 
2 



2 

11 
3 

13 
2 

11 
5 
5 
5 
8 
5 
6 
5 
2 
9 

12 
1 
2 

15 

14 
2 
3 

15 
3 
208 
7 
1 
3 
1 
3 

10 
1 
3 
1 

10 
3 
1 

40 

22 
2 
1 
8 
3 
3 
5 

10 
4 
2 

10 
8 
8 
2 
2 
7 

11 
6 
5 
2 

18 
6 
2 
2 
5 
4 
2 
2 



28 



Gallitzin 

Gallitzin Township 

Geistown 

German Township 

Gettysburg 

Girard 

Glassport 

Glenolden 

Granville Township 

Greencastle 

Greenfield Township 

Greensburg 

Green Tree 

Greenville-West Salem.... 

Grove City 

Hallstead 

Hamburg 

Hampden Township 

Hampton Township 

Hanover 

Hanover Township 

Harmar Township 

Harmony Township 

Harrisburg 

Harrison Township 

Harveys Lake 

Hastings 

Hatboro 

Hatfield Township 

Haverford Township 

Hawley 

Hazleton 

Hegins Township 

Heidelberg 

Heidelberg Township 

Hellam Township 

Hellertown 

Hemlock Township 

Hempfield Township 

Hermitage 

Highspire 

Hilltown Township 

Hollidaysburg 

Homer City 

Homestead 

Honesdale 

Hooversville 

Hopewell Township 

Horsham Township 

Houtzdale 

Hughesville 

Hummelstown 

Huntingdon 

Hyndman 

Independence Township . 

Indiana 

Indiana Township 

Ingram 

Irwin 

Jackson Township 

Jeannette 

Jefferson 

Jefferson Township 

Jenkins Township 

Jenkintown 

Jenner Township 



17 

4 

7 

10 

3 

4 

1 

34 

10 

14 

10 

2 

7 

16 

18 

20 

20 

5 

4 

180 

16 

2 

1 

17 

24 

77 

2 

28 

2 

3 

2 

4 

11 

1 

6 

29 

5 

11 

11 

2 

12 

8 

2 

9 

31 

2 

4 

6 

10 

2 

1 

28 

6 

6 

6 

7 

18 

II 

2 

1 

12 

2 



302 



Table 75. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1983 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



Total 

civilians 



PENNSYLVANIA— Continued 



ermyn 
'ersey Share 

'essup 

ijm Thorpe 

'ohnsonburg 

'ohnstown 

Cane 

Cenhorst 

Cennedy Township 

Cennett Square 

bidder Township 

Cilbuck Township 

Kingston 

Kingston Township 

Cittanning 

Cline Township 

Cnox 

Culpmont 

Culztown 

^ke City 

^ake Township 

ancaster 

ansdale 

ansdowne 

^nsford 

arksville 

strobe 

^ureldale ..... 

^wrence Park Township 

.a wrence 

^banon 

xechburg 

-eet 

^etsdale 

^highton -„ 

^high Township 

^hman Township 

^moyne 

^wisburg 

^wistown 

liberty 

Jgonier 

Jgonier Township 

-illy 

-imerick Township 

Unesville 

Lititz 

Littlestown 

Lock Haven 

jLocust Township 

Logan Township 

jLoretto 

iLower Allen Township 

iLower Alsace Township 

Lower Burrell 

Lower Chichester Township 

Lower Gwynedd Township 

Lower Makefield Township 

Lower Merion Township 

Lower Moreland Township 

Lower Mount Bethel Township.. 

Lower Paxton Township 

Lower Pottsgrove Township 

Lower Providence Township 

Lower Salford Township 

Lower Saucon Township 

Lower Southampton Township ... 



2 
6 
3 
4 
5 

60 
6 
4 
8 
7 
3 
4 

22 
4 
7 
2 
1 

4 
7 
3 
1 
141 

25 

19 
6 
5 

20 
3 
6 
8 

46 
3 
3 
4 
8 
5 
2 
4 

11 

23 
1 
2 
-) 

1 

3 

1 

8 

5 
14 

1 
17 

1 
17 

5 
12 

4 

12 

25 

152 

28 

1 
46 

7 
24 

8 
13 
26 



2 
6 
3 
4 
5 

57 
6 
4 
8 
6 
3 
4 

22 
4 

7 

2 
1 
4 
6 
3 
1 
113 

19 

16 
6 
5 

13 
3 
6 
8 

42 
3 
3 
4 
6 
5 
2 
4 
9 

16 
1 
2 
2 
1 
3 
1 
7 
5 

12 
1 

12 
1 

16 
5 

12 
4 

11 

22 
123 

21 
1 

40 
7 

22 
7 
9 

23 



PENNSYLVANIA— Continued 

Lower Swatara Township 

Lower Yoder Township 

Luzerne 

Luzerne Township 

Lykens 

Mahanoy City 

Mahoning Township (Carbon County) 

Mahoning Township (Montour County) 

Malvem 

Manheim 

Manheim Township 

Manor 

Manor Township.... 

Mansfield 

Marcus Hook 

Marietta 

Marlborough Township 

Marple Township 

Mars 

Martinsburg 

Marysville 

Masontown 

Matamoras 

Mayfield 

McAdoo 

McCandless 

McConnellsburg 

McDonald 

McKeesport 

McKees Rocks 

McSherrystown 

Meadville 

Mechanicsburg 

Mechanicsviile 

Media 

Menallen Township 

Mercer , 

Mercersburg , 

Meyersdale 

Middleburg 

Middlesex Township (Butler County) 

Middlesex Township (Cumberland County) . 

Middletown 

Middletown Township 

Midland 

Mifflin 

Mifflinburg 

Mifflintown , 

Milford 

Millboume 

Millcreek Township 

Millersburg 

Millers ville 

Millvale 

MiUville 

Milton 

Minersville 

Mohnton 

Monaca 

Monessen 

Monongahela 

Monroeville 

Montgomery 

Montgomery Township 

Montoursville 

Montrose 

Moon Township 

Moore Township 



10 
4 
4 
4 
1 
8 
3 
4 
5 
5 

41 
1 

12 
5 
4 
2 
4 

41 
2 
1 
3 

14 
2 
2 
3 

31 
2 
3 

61 

13 
3 

28 

13 
1 

18 
1 
3 
3 
4 
2 
5 
2 

14 

56 
9 
1 
3 
2 
2 
4 

62 
5 
7 
5 
1 

13 
5 
4 
6 

17 

13 

50 
3 

17 
5 
4 

25 
5 



303 



Table 75. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1983— Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



PENNSYLVANIA— Continued 



Moosic 

Morris-Cooper Township 

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 

Nescopeck 

Neshannock Township 

Nesquehoning 

Nether Providence Township 

Neville Township 

Newberry Township 

New Bethlehem 

New Brighton 

New Britain 

New Britain Township 

New Castle 

New Cumberland 

New Eagle 

Newell 

New Freedom 

New Hanover Township , 

New Holland 

New Hope 

New Kensington 

New Oxford , 

Newport 

Newport Township , 

New Sewickley Township 

Newtown Township (Bucks County) 

Newtown Township (Delaware County).... 

Newville 

New Wilmington 

Norristown 

Northampton 

Northampton Township 

North Belle Vernon 

North Braddock 

North Catasaqua 

North Charleroi 

North Codorus Township 

North Cornwall- West Lebanon Township.. 

North Coventry Township 

North East 

Northeastern Regional 

Northern York Regional 

North Fayette Township 

North Franklin Township 



4 
2 
12 
5 

2 

13 

12 
4 
2 
1 
7 
5 

54 
8 
6 

10 
i 
2 

22 
3 

20 

1 
4 

19 
3 
6 

12 
2 
2 
4 

11 

10 
5 
3 

10 
1 
7 

42 
8 
1 
1 
2 
4 
7 
4 

29 
2 
2 
4 
5 

13 

13 
2 
3 

71 

17 

33 
2 

10 
4 
I 
2 



4 
2 

11 
5 
2 

13 

10 
4 
2 
1 

6 
5 

44 
8 
6 
6 
3 
2 

21 
3 

18 

14 
4 

14 
3 
6 

11 
2 
2 
4 

10 
6 
5 
2 
6 
1 
6 

37 
8 
1 
1 
2 
4 
6 
4 

24 
2 
2 
4 
5 

11 

13 
2 
3 

63 

10 

26 
2 
6 
4 
1 
2 
8 
7 
6 
6 

22 
9 
6 



10 



PENNSYLVANIA— Continued 

North Huntingdon Township 
North Lebanon Township - 
North Londonderry Township 
North Middleton Township 

North Strabane Township 

Northumberland 

North Versailles Township 

North Wales 

Norwegian Township 

Norwood 
Oakdale. 

Oakmont 

O'Hara Township 

Ohio Township 

Oil City 

Old Forge 

Old Lycoming Township 

Oley Township 

Olyphant 

Orange Township 

Orwigsburg 

Osceola Mills r. 

Oxford '. 

Palmerton 

Palmer Township 

Palmyra 

Parkesburg 

Parkside 

Patterson 

Patton 

Patton Township 

Paxtang 

Pen Argyl 

Penbrook 

Penndel 

Penn Hills 

Penn Township (Butler County) 

Penn Township (Lancaster County) 

Penn Township (Westmoreland County). 

Penn Township (York County) 

Pequea Township 

Perkasie 

Perryopolis 

Peters Township 

Philadelphia 

Philipsburg 

Phoenixville 

Pine Grove 

Pine Township 

Pitcaim 

Pittsburgh 

Pittston 

Plainfield Township 

Plains Township 

Pleasant Hills 

Plum 

Plumstead Township .^ 

Plymouth 

Plymouth Township 

Pocono Township 

Point Marion 

Point Township 

Portage 

Port Allegany 

Port Carbon 

Port Vue 

Pottstown . 

Pottsville 

Pnngle 

Prospect Park... 



24 



1 

4 

1 

7 

6 

21 

9 

2 

2 

4 

2 

9 

3 

3 

4 

3 

84 

3 

3 

13 

13 

3 

9 

3 

21 

8,042 

4 

26 

3 

9 

5 

1.391 

II 

3 

14 

19 

24 

2 

10 

28 

7 

1 

4 
3 
2 
3 
4 
48 
35 



19 
7 
4 
5 
6 
4 

12 
3 
1 
7 
2 



21 

7 
7 
1 
6 



6 
5 

16 

9 
2 
2 
4 
2 
S 
3 
.^ 
4 
3 
59 
2 

3 
12 
13 

3 

8 

2 

16 

7.218 

4 
23 

3 

9 

5 

1,284 

11 

3 

14 
15 
20 

2 

6 
23 

7 

1 

4 

3 

2 

3 

4 
40 
31 

1 

7 , 



304 



ible 75. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1983 — Continued 



City 



PENNSYLVANIA— Continued 



nxsutawney 

matuning Township 

alcertown 

ccoon Townsliip 

dnor Township 

Ipho Township 

nkin 

ading 

d Lion 

dstone Township 

serve Township 

ynoldsville 

:hland 

ihland Township (Allegheny County) 
:hland Township (Cambria County) 

Igway 

lley Park 

lley Township 

/erside 

aring Brook Township 

aring Spring 

besonia-Heideiberg 

beson Township 

binson Township 

Chester 

Chester Township 

ckledge 

ckwood 

ss Township 

sslyn Farms 

straver 

ulette Township 

yalton 

yersford 

e Township 

ibury Township 

jgertown 

nt Clair 

nt Marys 

-isbury Township 

itsburg 

ndy Lake 

ady Township 

xonburg 

xton 



yre 

huylkill Haven 

huylkill Township 

ottdale 

ott Township (Allegheny County) 

ott Township (Columbia County) 
ott Township (Lackawanna County). 

ranton - 

linsgrove 

Uersville 

ven Springs 

ward 



wickley 

wickley Heights.. 
laler Township.... 

lamokin 

lamokin Dam 



laron 

laron Hill 

larpsburg 

larpsville 

lefTield Township 

lenandoah 

lenango Township (Lawrence County) 
lenango Township (Mercer County) 



Total 

pohce 

employees 



15 
9 

15 
1 

58 
4 
4 
199 
6 
5 
4 
3 
1 

11 

22 
6 
7 

46 
3 
1 
1 
2 
2 

17 
8 
1 
5 
2 

44 
2 

10 
1 
1 



1 

5 

2 

1 

10 

13 

6 

12 

25 

2 

3 

163 

6 

5 

2 

1 

14 

7 

34 

17 

2 

36 

9 

8 

8 

2 

13 

9 

3 



Total 
officers 



9 
8 

13 
1 

49 
4 
1 
168 
6 
4 
4 
3 
1 

11 

18 
6 
7 

34 
3 
1 
1 
2 
2 

12 
7 
1 
5 
2 

37 
2 
9 
1 
1 
6 
I 
1 
1 
4 
7 

10 
1 
1 
5 
2 
1 
8 

10 
5 
7 

22 
2 
3 

156 
5 
4 
2 
1 
10 
7 

27 
13 
2 
30 
8 
7 
7 
2 
10 
4 
2 



Total 
civihans 



12 



City 



PENNSYLVANIA— Continued 



Shickshinny 

Shillington 

Shinglehouse 

Shippensburg 

Shiremantown 

Shrewsbury 

Silver Spring Township 

Sinking Spring 

Slatington 

Slippery Rock 

Smethport 

Smithfield 

Smith Township 

Snow Shoe 

Snyder Township (Blair County) 

Snyder Township (Jefferson County) 

Solebury Township 

Somerset 

Souderton 

South Abington Township 

South Beaver 

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 County) 

Spring Garden 

Spring Township (Berks County) 

Spring Township (Centre County) 

State College 

Steelton 

Stoneboro 

Stoneycreek Township 

Stowe Township 

Stroudsburg 

Stroud Township 

Sugar Creek 

Sugarloaf Township 

Summit Hill 

Sunbury 

Susquehanna 

Susquehanna Township (Cambria County) 
Susquehanna Township (Dauphin County) 

Swarthmore 

Swatara Township.... 

Swissvale 

Swoyersville 

Sykesville 

Tamaqua 

Tarentum 

Taylor - 

Telford 

Temple 



Total 

police 

employees 



2 

4 

3 

22 

3 

38 

31 

15 

14 

5 

62 

10 

1 

4 

8 

14 

12 

3 

2 

3 

21 

3 

1 

26 

8 

27 

23 

6 

1 

13 

11 

7 

3 

2 



Total 
officers 



Total 
civihans 



1 
6 

1 

9 

2 

3 

7 

3 

4 

5 

2 

2 

2 

1 

1 

3 

6 

9 

4 

7 

1 

2 

2 

1 
11 

1 

2 

6 

3 

2 
15 

8 

2 

2 
20 

5 

2 

4 

3 
20 

3 
32 
27 
14 
14 
5 
50 

9 
1 

4 
8 

11 

11 
2 
2 
3 

14 
2 
1 

24 
8 

25 

19 
4 
1 

10 
7 
7 
3 
2 



305 



Table 75. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1983 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



PENNSYLVANIA— Continued 



Terre Hill 

Thomburg 

Thorabury Township 

Throop 

Tidioute 

Tinicum Township 

Titusville 

Tobyhanna Township ... 

Topton 

Towamencin Township.. 

Towanda 

Trafford 

Trainer 

Tredyffrin Township 

Troy 



Tullytown 

Tunkhannock 

Tunkhannock Township 

Turtle Creek 

Tyrone 

Union City 

Uniontown 

Union Township (Washington County) 

Union Township (Mifflin County) 

Upland 

Upper Allen Township 

Upper Chichester Township 

Upper Darby Township 

Upper Dublin Township 

Upper Gwynedd Township 

Upper Makefield Township 

Upper Merion Township 

Upper Moreland Township 

Upper Mount Bethel Township 

Upper Nazareth Township 

Upper Perkiomen 

Upper Pottsgrove 

Upper Providence Township (Delaware 

County) - 

Upper Providence Township (Montgomery 

County) 

Upper Saint Clair Township 

Upper Saucon Township 

Upper Southhampton Township 

Upp>er Yoder Township 

Uwchlan Township 

Valley Township 

Vandergrift 

Vanport Township 

Verona 

Versailles 

Walnutport 

Warminster Township 

Warren 

Warrington Township 

Warwick Township (Bucks County) 

Warwick Township (Lancaster County) 

Washington 

Washington Township (Franklin County) 
Washington Township (Northampton County) 

Watsontown 

Waynesboro 

Waynesburg 

Weatherly 

Wellsboro 

Wesleyville 

West Brandywine 

West Brownsville 

West Chester 



1 
2 

3 
3 
1 
8 

16 
7 
4 

15 
6 
3 
4 

51 
2 
6 
5 
1 
9 

10 
7 

31 
3 
2 
2 
9 

13 
156 

41 

16 
8 

56 

41 
5 
2 
5 
2 



1 
2 
3 
3 
I 
8 

13 
7 
4 

13 
6 
3 
4 

42 
2 
5 
5 
1 
8 
5 
3 

26 
3 
2 
2 
8 

12 
117 

36 

15 
8 

46 

32 
5 
2 
5 
2 



39 



151 



PENNSYLVANIA— Continued 

West Cocalico Township 

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 Norriton Township 

West Pittston 

West Pottsgrove Township 

West Reading 

West Rockhill Township 

Westtown-East Goshen 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 

Wilmerding 

Wilson 

Windber 

Wind Gap 

Windsor Township 

Womelsdorf. 

Wormleysburg 

Wnghtsville 

Wrighttown Township 

Wyoming 

Wyomissing 

Wyomissing Hills 

Yardley 

Yeadon 

York 

York Springs - Latimore 

York Township 

Youngsville 

Youngwood 

Zebenople 

Zerbe 



20 

2 

6 

7 

8 

14 

3 

2 

17 

2 

1 

32 

3 

17 

12 

5 

7 

4 

9 

11 

12 

4 

6 

1 

2 

21 

39 

2 

29 

11 

20 

1 

107 

13 

40 

11 

1 

55 

2 

12 

1 

7 

4 

2 

8 

2 

6 

2 

3 

7 

15 
2 
3 

14 

104 

2 

19 
2 
5 
7 
1 



306 



to 75. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1983 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



RHODE ISLAND 



ngton 

)1 

UviUe 

al Falls 

lestown 

ntry 

iton 

jerland 

Greenwich .. 
Providence.. 



»ter 

anion 

stown 

jton 

)ln 

Compton 

letown 

igansett 

x>rt 

Shoreham 

I Kingstown . 
I ti Providence . 
U Smithfield .. 

jucket 

I mouth 

I dence 

late 

nfield 

I Kingstown.. 

ton 



vick 

erly 

Greenwich . 

Warwick.... 
nsocket 



SOUTH CAROLINA 



iviUe 

n 

idale 

;rson 

rews..... 

ntic Beach., 
jr 



berg , 
.well... 
sburg . 
ifort . 



lettsville 

,une 

opville 

ksburg 

kville 

aeau 

ichville 

loun Falls. 

iden 

ipobello 

isle 

X 

tral 

rleston 

raw 

>nee 

iter 

iterfield 



31 
37 
21 
38 
15 
52 

160 
43 
31 

104 

9 

10 

7 

13 

55 

35 

7 

32 

32 

101 

6 

51 

59 

19 

171 
25 

477 
20 
35 
54 
26 
20 

195 

36 

7 

49 

108 



16 

76 

10 

74 

12 

4 

4 

9 

11 

13 

35 

18 

27 

2 

15 

9 

8 

1 

1 

6 

27 

2 

1 

30 

4 

307 

22 

4 

23 

7 



24 

29 

16 

36 

11 

45 

135 

38 

25 

89 

6 

6 

5 

II 

44 

31 

7 

31 

27 

82 

2 

45 

44 

14 

147 

23 

400 

17 

28 

41 

18 

18 

158 

32 

3 

43 

98 



12 

61 
6 

59 
8 
4 
4 
8 

10 
9 

27 

14 

20 
2 

II 
5 
8 
1 
1 
6 

27 
2 
1 

24 

4 

217 

18 
4 

20 
5 



10 



9C 



SOUTH CAROLINA— Continued 

City View 

Clemson 

Clinton 

Clover 

Columbia 

Conway 

Cowpens 

Darlington 

Denmark 

Dillon 

Due West 

Easley 

Edgefield 

EUoree 

Estill 

Eutawville 

Fairfax 

Florence 

Folly Beach 

Forest Acres 

Fort Mill 

Fountain Inn 

GafFney 

Gaston 

Georgetown 

Goose Creek 

Gray Court 

Great Falls 

Greeleyville 

Greenville 

Greenwood 

Greer 

Hampton 

Hanahan 

Hardeeville 

Hartsville 

Heath Springs 

Hemingway 

Holly Hill 

Honea Path 

Inman 

Irmo 

Isle of Palms 

Iva 

Jackson 

Johnson ville 

Johnston 

Jonesville 

Kershaw 

Kingstree 

Lake City 

Lakeview 

Lamar 

Lancaster 

Landrum 

Latta 

Laurens 

Lees ville 

Lexington 

Liberty 

Loris 

Lyman 

Lynchburg 

Manning 

Marion 

Mauldin 

McBee 

McCoU 

McCormick 

Moncks Comer 

Mount Pleasant 



4 

18 

25 

9 

274 

33 

5 

30 

10 

20 

2 

26 

9 

2 

7 

1 

5 

80 

10 

71 

15 

16 

23 

1 

40 

30 

3 

7 

2 

174 

59 

36 

8 

21 

9 

31 

1 

7 
9 
13 
5 
5 

12 
4 
3 



4 

15 

23 

9 

210 

25 

5 

22 

7 

15 

2 

21 

6 

2 

3 

1 

5 

69 

6 

16 

10 

11 

16 

1 

32 

22 

3 

6 

2 

148 

44 

29 

5 

15 

5 

23 

1 

5 

5 

9 

5 

5 

8 

4 

3 

4 

5 

5 

4 

14 

15 

4 

3 

32 

5 

6 

24 

4 

8 

6 

4 

3 

1 

II 

17 

16 

2 

4 

4 

10 

23 



307 



Table 75. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1983 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



SOUTH CAROLINA— Continued 



Mullins 

Myrtle Beach 

Newberry 

New Ellenton 

Ninety Six 

North 

North Augusta 

North Charleston 

North Myrtle Beach.. 

Olanta 

Orangeburg 

Pacolet 

Pageland 

Patrick 

Pendelton 

Pickens 

Pine Ridge 

Port Royal 

Prosperity 

Ridgeland 

Ridge Springs 

Ridgeway 

Rock Hill 

Saint George 

Saint Matthews 

Saint Stephens 

Saluda 

Santee 

Seneca 

Simpson ville 

Society Hill 

South Congaree 

Spartanburg 

Springdale 

Sullivans Island 

Summerton 

Summerville 

Sumter 

Surfside Beach 

Swansea 

Tega Cay 

Timmonsville 

Travelers Rest 

Turbeville 

Union 

Vamville 

Wagener 

Walhalla 

Walterboro 

Ware Shoals 

West Columbia 

Westminster 

West Union 

Whitmire 

Williamston 

Williston 

Winnsboro 

Woodruff 

York 



SOUTH DAKOTA 



Aberdeen 

Belle Fourche . 

Brookings 

Chamberlain.... 

Deadwood 

Fort Pierre 



19 

79 

23 
4 

10 
2 

41 
126 

41 
3 

46 
2 

11 
1 
5 
9 
2 

13 
3 
5 
3 
3 

82 
5 
5 
4 
7 
2 

22 

17 
3 
1 
124 
4 
4 
4 

17 

79 
6 
2 
8 
9 
9 
I 

24 
4 
2 

10 

25 

12 

30 
7 
2 
8 

10 
9 

13 
9 

14 



19 

60 

19 

4 

6 

2 

34 

89 

39 

2 

35 

2 

8 

1 

5 

8 

1 

9 

3 

5 

3 

3 

65 

5 

5 

4 

7 

2 

19 

12 

3 

1 

106 

4 

4 

4 

15 

56 

6 

2 

8 

6 

8 

1 

22 

4 

2 

8 

17 

9 

25 

7 

1 

5 

8 

8 

12 

5 

13 



19 



37 



23 



SOUTH DAKOTA— Continued 

Hot Springs 

Lead 

Madison 

Mitchell 

Mobridge 

Pierre 

Rapid City 

Redfield 

Sioux Falls 

Spearfish 

Sturgis.... 

Vermillion 

Watertown 

Yankton 

TENNESSEE 

Adamsville 

Alcoa 

Ardmore 

Ashland City 

Athens 

Baileyton 

Bartlett 

Baxter 

Benton 

Bolivar 

Brentwood 

Bristol 

Brownsville 

Bruceton 

Camden 

Carthage 

Centerville 

Chattanooga 

Church Hill 

Clarks ville 

Cleveland 

Clinton 

Collegedale 

CoUierville 

CoUinwood 

Columbia 

Cookeville 

Covington 

Cowan 

Crossville 

Cumberland Gap 

Dandridge 

Dayton 

Decaturville 

Decherd 

Dresden 

Dyer 

Dyersburg 

East Ridge 

Elizabethton : 

Elkton 

Englewood 

Erwin 

Estill Springs 

Fairview 

Fayetteville 

Franklin 

Friendsville 

Gallatin 

Gallaway 

Gates 

Gatlinburg 



15 
27 
10 
22 
90 
6 
141 
13 
13 
21 
29 
31 



7 

24 

9 

6 

36 

4 

27 

3 

8 

20 

23 

50 

22 

3 

12 

9 

8 

464 

4 

100 

50 

12 

10 

25 

4 

57 

57 

21 

4 

19 

2 

2 

13 

1 

9 

5 

5 

38 

28 

34 

2 

4 

12 

2 

10 

25 

40 

2 

38 

2 

35 



308 



le 75. Number of Full-time Law Enforcement Employees, Cities, October 31, 1983 — Continued 



City 



TENNESSEE— Continued 



Total 

police 

employees 



Total 
officers 



34 
4 
18 
2 
2 
35 
5 

18 

10 

11 

45 

8 

27 

12 

3 

1 

2 

157 

9 

15 

g 

121 

4 

7 

83 

398 

9 

10 

12 

34 

27 

8 

23 

19 

17 

4 

9 

23 

27 

13 

2 

33 

1.549 

16 

25 

9 

4 

50 

4 

9 

13 

80 

1,189 

12 

24 

4 

7 

53 

4 

12 

25 

19 

12 

19 

25 

3 

4 

21 

IS 



25 

4 

18 

2 

2 

34 

4 

18 

6 

11 

35 

8 

22 

9 

3 

1 

2 

124 

9 

10 

7 

100 

4 

3 

70 

298 

9 

10 

8 

25 

26 

8 

18 

15 

12 

3 

9 

17 

23 

10 

2 

28 

1,224 

15 

23 

7 

4 

43 

4 

5 

9 

65 

956 

8 

24 

4 

7 

44 

4 

12 

21 

14 

8 

15 

19 

3 

4 

20 

13 



Total 
civilians 



IC 



33 



21 



13 
100 



City 



5 
325 



4 
4 
15 
233 
4 



TENNESSEE— Continued 



Rossville 

Rutherford 

Savannah 

Sevierville 

Sewanee 

Sharon 

Shelbyville 

Signal Mountain.. 

Smyrna 

Soddy-Daisy 

Somerville 

South Carthage... 

South Fulton 

South Pittsburg .. 

Sparta 

Spring City 

Springfield 

Spring Hill 

SurgoinsviUe 

Sweetwater 

Tazewell 

Tracy City 

Trenton 

Trimble 

TuUahoma 

Union City 

Wartrace 

Watertown 

Waverly 

Westmoreland 

White House 

White Pine 

Whiteville 

Winchester 

Woodbury 



TEXAS 



Abemathy 

Abilene 

Addison 

Alamo 

Alamo Heights 

Alice 

Allen 

Alpine 

Alvarado 

Alvin 

Amarillo 

Andrews 

Angleton 

Anson 

Anthony 

Aransas Pass 

Arlington 

Athens 

Atlanta 

Austin 

Azle 

Batch Springs 

Balcones Heights. 

Ballinger 

Bangs 

Bastrop 

Bay City 

Baytown 

Beaumont 

Bedford 

Beeville 



Total 

poUce 

employees 



4 

4 

16 

21 

12 

4 

28 

12 

22 

17 

10 

2 

6 

10 

17 

9 

24 

2 

3 

17 
4 
5 
13 
3 
30 
28 



Total 
officers 



3 

4 

11 

16 

8 

3 

22 

12 

18 

12 

7 

2 

5 

7 

13 

5 

18 

2 

3 

1 

4 

4 

11 

3 

29 

21 

1 

4 

11 

4 

9 

4 

2 

14 

4 



Total 
civihans 



3 


3 


207 


165 


47 


35 


14 


9 


24 


19 


41 


28 


24 


16 


11 


6 


4 


3 


32 


26 


302 


231 


17 


16 


30 


23 


7 


5 


7 


6 


28 


22 


310 


244 


24 


16 


16 


11 


832 


590 


19 


13 


28 


21 


19 


14 


7 


5 


1 


1 


5 


5 


33 


27 


123 


92 


289 


220 


47 


37 


23 


17 



309 



Table 75. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1983 — Continued 



City 



TEXAS— Continued 

Bellaire 

Bellmead 

Bellville 

Helton 

Benbrook 

Bertram 

Beverly Hills 

Big Sandy 

Big Spring 

Bishop 

Blanco 

Blue Mound 

Boeme 

Bonham 

Borger 

Bowie 

Brady 

Brazoria 

Breckenridge 

Brenham 

Bridge City 

Bridgeport 

Brookshire 

Brownfield 

Brownsville 

Brownwood 

Bryan 

Burkbumett 

Burleson 

Burnet 

Caldwell 

Cameron 

Canton 

Canyon 

Carmine 

Carrollton 

Carthage 

Castle Hills 

Cedar Hill 

Cedar Park 

Celeste 

Center 

Childress 

Cisco 

Clarksville 

Cleburne 

Cleveland ...' 

Clifton 

Clute 

Cockrell Hill 

Coleman 

Colleyville 

College Station 

Colorado City 

Columbus 

Comanche 

Commerce 

Converse 

Conroe 

Cooper 

Coppell 

Copperas Cove 

Corinth 

Corpus Christ! 

Corrigan 

Corsicana 

Crane 

Crockett 

Crowley 

Crystal City 



Total 

police 

employees 



56 

12 

6 

25 

35 

1 

7 

3 

62 

5 

1 

8 

8 

18 

31 

17 

9 

6 

16 

26 

14 

11 

11 

22 

141 

30 

93 

17 

26 

8 

7 

12 

6 

14 

1 

95 

16 

19 

22 

10 

1 

17 

11 

9 

6 

41 

22 

4 

27 

13 

11 

18 

73 

12 

5 

10 
19 
11 
58 
3 

14 

40 

4 

438 

9 

36 

10 

19 

16 

7 



Total 
officers 



39 

8 

5 

17 

28 

1 

6 

3 

47 

4 

1 

4 

7 

14 

22 

11 

5 

5 

10 
19 
9 
6 
8 

17 

111 

25 

76 

12 

24 

6 

6 

7 

5 

12 

1 

67 

12 

16 

15 

6 

1 

12 

7 

8 

6 

31 

15 

4 

24 

9 

10 

13 

54 

7 

4 

6 

13 

10 

41 

2 

9 

32 

4 

341 

5 

29 

6 

13 

10 

7 



Total 
civilians 



17 



30 



17 



97 
4 
7 
4 
6 
6 



City 



TEXAS— Continued 



Cuero 

Daingerfield 

Dalhart 

Dallas 

Dalworthington Gardens.. 

Dayton 

Decatur 

Deer Park 

De Kalb 

Del Rio 

Denison 

Denton 

Denver City 

DeSoto 

Devine 

Diboll 

Dickinson 

Dimmitt 

Donna 

Dublin 

Dumas 

Duncan ville 

Eagle Lake 

Eagle Pass 

Early 

Eastland 

Edcouch 

Edinburg 

Edna 

El Campo 

Electra 

Elgin 

El Lago 

El Paso 

Elsa 

Ennis 

Euless 

Everman 

Fairfield 

Falfurrias 

Farmers Branch 

Farmersville 

Flower Mound 

Forest Hill 

Fort Stockton 

Fort Worth 

Frankston 

Fredericksburg 

Freeport 

Freer 

Friendswood 

Friona 

Gainesville 

Galena Park 

Galveston 

Garland 

Gatesville 

Georgetown 

Giddings 

Gilmer 

Gladewater 

Goliad 

Gonzales 

Graham 

Granbury 

Grand Prairie 

Grand Saline 

Grapevine 

Greenville 

Gregory 

Groesbeck 



Total 

police 

employees 



9 
6 

14 
2,594 

9 
11 

7 
47 

8 
56 
45 
85 
12 
30 

6 
12 
17 



28 
53 

8 
38 

5 

6 

5 
45 

8 
22 

9 
10 

7 
902 

8 
31 
54 
14 

6 

8 
60 

9 

18 

31 

22 

1,110 

4 
11 
33 

8 
21 

9 
38 
21 
172 
211 
12 
18 
12 
16 
16 

3 

12 

21 

13 

139 

5 
44 
46 

2 

5 



Total 
officers 




310 



ible 75. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1983— Continued 



aty 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



TEXAS— Continued 



13 

2 

9 

4 

45 

g 

26 

72 

4 

13 

20 

3 

25 

27 

10 

14 

48 

16 

15 

6 

11 

4 

5,139 

35 

39 

72 

11 

3 

15 

14 

206 

18 

9 

24 

6 

17 

4 

17 

2 

4 

20 

15 

9 

17 

4 

9 

18 

38 

37 

129 

59 

16 

4 

3 

3 

11 

9 

10 

38 

2 

11 

18 

21 

20 

12 

30 

48 



12 

2 

5 

3 

38 

4 

20 

58 

4 

g 

15 

3 

21 

21 

9 

11 

41 

10 

10 

6 

8 

3 

3,716 

28 

28 

49 

7 

2 

10 

9 

144 

15 

8 

20 

5 

13 

4 

12 

2 

4 

16 

9 

6 

13 

4 

5 

12 

32 

31 

97 

43 

11 

3 

3 

3 

6 

5 

5 

28 

2 

6 

13 

18 

14 

7 

25 

33 



4 
6 
1 
3 
7 
6 
5 

3 

1 

1,423 

7 

II 

23 

4 

1 



62 



10 



TEXAS — Continued 

Laredo 

La Villa 

League City 

Leander 

Leon Valley 

Levelland 

Lewisville , 

Lexington 

Liberty 

Lindale 

Littlefield 

Live Oak 

Livingston 

Lockhart 

Lockney 

Lone Star 

Longview 

Los Fresnos,. 

Lubbock 

Lufkin 

Luling 

Madisonville 

Malakoff 

Mansfield ; 

Manvel 

Marble Falls 

Marion 

Marlin 

Marshall ; 

Mart 

Mathis 

McAllen 

McGregor 

McKinney 

Memphis 

Mercedes 

Merkel 

Mesquite 

Mexia 

Midland 

Midlothian 

Mineola 

Mineral Wells 

Mission 

Missouri City 

Monahans 

Morgans Point Resort 

Mount Pleasant 

Muleshoe 

Munday 

Nacogdoches 

Naples 

Nassau Bay 

Navasota 

Nederland 

Needville 

New Boston 

New Braunfels 

Nocona 

Nolanville 

Northcrest 

North Richland Hills 

Oak Ridge North 

Odessa 

Olmos Park 

OIney 

Olton 

Onalaska 



159 

1 

38 

5 

27 

24 

61 

1 

19 

10 

17 

13 

11 

9 

3 

2 

166 

9 

285 

54 

9 

7 

5 

25 

6 

8 

2 

14 

49 

2 

5 

171 

10 

34 

3 

28 

3 

138 

17 

210 

11 

13 

30 

48 

40 

23 

4 

22 

14 

2 

52 

2 

12 

17 

23 

6 

9 

40 

13 

10 

3 

58 

9 

239 

12 

10 

2 

2 



144 

1 
27 

4 
20 
19 
47 

1 
11 

6 
10 
13 

6 

6 

3 

2 
133 

5 

241 

48 

5 

6 

5 
17 

6 

7 

2 
11 
39 

2 

5 
118 

5 
26 

2 
20 

3 

108 

12 

186 

7 

7 
23 
37 
31 
14 

4 
18 

8 

2 
46 

2 
12 
12 
19 

5 

5 
32 

5 

6 

3 
42 

8 

186 

12 

6 

1 

2I 



311 



Table 75. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1983 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



TEXAS— Continued 



Orange 

Ore aty 

Overton 

Oyster Creek 

Palacios 

Palestine 

Pampa 

Pantego 

Paris 

Pasadena 

Patton Village 

Pearland 

Pearsall 

Pecos 

Perryton 

Pharr 

Pilot Point 

Pittsburg 

Plainview 

Piano 

Pleasanton 

Port Aransas 

Port Arthur 

Port Isabel 

Portland 

Port Lavaca 

Port Neches 

Poteet 

Premont 

Princeton 

Quanah 

Quitman 

Ranger 

Ransom Canyon 

Raymondville 

Red Oak 

Refugio 

Richardson.... 

Richland Hills 

Richmond 

Richwood 

River Oaks 

Robinson 

Robstown 

Rockdale 

Rockport 

Rockwall 

Rollingwood 

Roma 

Rose City 

Rosenberg 

Rotan 

Round Rock 

Rowlett 

Royse City 

Rusk 

Saginaw 

San Angelo 

San Antonio 

San Augustine 

San Benito 

San Juan 

San Marcos 

Sansom Park Village . 

Santa Fe 

Schertz 

Seabrook 

Seagoville 

Seagraves 

Sealy 

Seguin 

Selma 



53 

3 

8 

6 

g 

46 

41 

13 

48 

259 

6 

30 

5 

24 

16 

41 

4 

6 

38 

168 

11 

13 

127 

16 

29 

22 

19 

4 

4 

2 

5 

6 

3 

1 

15 

13 

5 

162 

18 

13 

7 

16 

7 

24 

12 

11 

16 

4 

9 

2 

43 

4 

25 

19 

2 

11 

16 

162 

1,432 

4 

29 

13 

36 

12 

15 

11 

17 

13 

2 

10 

36 



40 

2 

4 

6 

5 

35 

30 

9 

33 

203 

6 

24 

5 

18 

11 

29 

4 

6 

28 

119 

7 

8 

104 

II 

21 

18 

16 

3 

4 

2 

4 

6 

3 

1 

11 

9 

4 

108 

12 

12 

6 

11 

6 

19 

6 

9 

II 

3 

6 

2 

33 

4 

18 

13 

2 

10 

II 

130 

1.159 

4 

23 

9 

29 

8 

9 

7 

16 

9 

2 

9 

25 

7 



13 



12 



10 
49 
4 
5 
23 
5 
8 
4 



5 

32 

273 



TEXAS— Continued 

Seminole 

Seven Points 

Seymour 

Shallowater 

Shamrock 

Shenandoah 

Sherman 

Silsbee 

Sinton 

Slaton 

Smith ville 

Snyder 

Somerset 

Somerville 

Sonora 

South Houston 

Southlake 

South Padre Island 

Southside Place 

Spearman 

Spring Valley 

Spur '. 

Stafford 

Stamford 

Stanton 

Stephenville 

Stinnett 

Sugarland 

Sulphur Springs 

Sunset Valley 

Surfside Beach 

Sweeny 

Sweetwater 

Taft 

Tatum 

Taylor 

Taylor Lake Village 

Teague 

Temple 

Terrell 

Terrell Hills 

Texarkana 

Texas City 

The Colony 

Tomball 

Troup 

Tulia 

Tye 

Tyler 

Universal City 

University Park 

Uvalde 

Valley Mills 

Van 

Vernon 

Victoria 

Vidor 

Village ..... 

Waco 

Wake Village 

Wallis 

Watauga 

Waxahachie 

Weatherford 

Webster 

Weslaco 

West 

West Columbia 

West Lake Hills 

West Orange 

Westover Hills 

West University Place 



10 

12 
4 
2 

7 

5 

60 

19 

8 

17 

8 

23 

1 

4 

7 

35 

12 

22 

14 

10 

17 

3 

30 

6 

4 

30 

2 

27 

31 

I 

7 

6 

24 

3 

6 

17 

5 

7 

110 

27 

14 

91 

61 

23 

17 

6 

10 

2 

149 

25 

39 

23 

I 

5 

20 

108 

25 

30 

226 

4 

3 

25 

34 

31 

20 

43 

4 

12 

11 

8 

17 

31 



10 

7 

4 

2 

4 

5 

44 

14 

7 

10 

5 

18 

1 

4 

5 

32 

10 

15 

12 

5 

12 

2 

21 

6 

4 

27 

2 

21 

24 

1 

6 

5 

20 

3 

2 

12 

5 

5 

89 

20 

13 

65 

57 

15 

13 

4 

5 

2 

115 

20 

32 

17 

1 

4 

14 

82 

17 

25 

162 

4 

2 

19 

28 

23 

14 

30 

4 

7 

10 

6 

17 

21 



312 



ble 75. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1983— Continued 



Cily 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officere 



Total 
civilians 



TEXAS— Continued 

stworth ;,. 

larton 

litehouse 

lite Oak 

litesboro 

lite Settlement 

hita Falls 

lis Point 

Imer 

ndcrest 

nnsboro 

nters 

Ifforth 

lodville 

Kxlway 

lie 

akum 

rktown 

UTAH 

oine 

lerican Fork 

iffdale 

jntiful 

gham City 

lar City , 

iterville 

arfield 

nton 

ilta 

iper 

It Carbon 

[iraim 

rview 

■mington 

antsville 

nnison 

rrisville 

ber 

Iper 

rricane 

nab 

ysville 

Verkin 

yton 

hi 

idon 

gan 

inti 

jpleton 

idvale 

Dab 

Dnticello 

aunt Pleasant 

urray 

:phi 

)rth Salt Lake 

!den 

em 

rk City 

rowan.. 

yson 

sasant Grove 

^asant View 

ice 

ovo 

chfield 

verdale 



4 
14 

5 
13 

8 

21 

200 

7 
13 
12 
13 

5 

2 

6 
19 
11 
12 

3 



3 

17 
4 
37 
33 
15 
8 
23 
6 
8 
7 
5 
3 
1 
5 
5 
2 
2 
5 
5 
4 
3 

10 

2 

31 

9 

6 

38 

3 

3 

27 

14 

3 

4 

54 

6 

8 

130 

68 

15 

2 

11 

15 

4 

16 

79 

16 

13 



3 

13 
5 
9 
4 

15 

153 

6 

9 

11 
7 
5 
2 
6 

12 
6 
7 
3 



3 

14 

3 

29 

25 

14 

7 

16 

5 

7 

6 

4 

3 

1 

5 

5 

2 

2 

5 

5 

4 

3 

9 

2 

24 

8 

5 

33 

3 

3 

21 

12 

3 

4 

43 

5 

7 

104 

49 

13 

2 

10 

10 

4 

14 

60 

12 

12 



UTAH— Continued 

Roosevelt 

Roy 

Saint George 

Salem 

Salina 

Salt Lake City 

Sandy 

South Jordan 

South Ogden 

South Salt Lake 

Spanish Fork 

Springville 

Sunset 

Syracuse 

Tooele 

Tremonton 

Vernal 

Washington City 

Washington Terrace 

Welisville 

West Bountiful 

West Jordan 

West Valley 

Woods Cross 

VERMONT 

Brattleboro 

Colchester 

Hartford 

Newport 

South Burlington 

Winooski 

Woodstock 

VIRGINLi 

Abingdon 

Alexandria 

AltaVista , 

Amherst , 

Appalachia 

Appomattox 

Arlington 

Ashland 

Bedford 

Berry ville 

Big Stone Gap 

Blacksburg 

Blackstone 

Bluefield 

Bowling Green 

Bridgewater 

Bristol , 

Brookneal 

Buchanan 

Buena Vista 

Burkeville 

Cape Charles 

Cedar Bluff 

Charlottesville 

Chase City 

Chatham 

Chesapeake 

Chilhowie 

Chincoteague 

Christiansburg 

Clarksville 

Clifton Forge , 



11 

23 

27 

2 

5 

458 

74 

13 

23 

32 

14 

14 

7 

5 

21 

7 

28 

3 

13 

1 

4 

51 

90 

9 



13 

317 

14 

4 

8 

2 

351 

12 

24 

5 

13 

47 

14 

13 

1 

4 

47 

4 

2 

16 

2 

5 

2 

105 

8 

5 

242 

4 

7 

23 



9 
18 

22 

2 

4 

333 

47 

6 

16 

25