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
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Release Date
Sunday
Sept. 9, 1984

Crime
in the
United
States

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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.

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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%

0

- 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%

0

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%

0

- 25%

+ 100%

+ 75%

+ 50%

+ 25%

0

-25%

+ 100%

+ 75%

+ 50%

+ 25%

0

-25%

+ 100%

+ 75%

+ 50%

+ 25%

0

-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 0

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

^

0
— 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

+ 0

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

0

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

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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

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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«»«.«>**«lllin»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

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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

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;,329

incies;
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54.000)

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nties'

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10.000)

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24.2
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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 0 ^ 0

^ 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

0

c
0

1

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1

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■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

0

.2

Si i
1^

0

0.

0:

.1

OX) 4.

B

li

3 «

C
>

I
1

4.

c

c
a.

e

0.

4

>

c

0.

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

0

K

1

I St.

2

>

c:

f

^n

c

"

Tl

*

!fi £•

°

»

1

0

1^

^

■?

??

c

S.

■£

^

u-

c

!r

n

U

3

^

i

r

*

■;

^

e

g

x>

0

c

3
0

1

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C

r

^

3

f^

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i

!fi

?5

?>«

9- -2

_j

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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 0

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 0

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 0

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

12

12

7

4

19

6

21

2

10

1

3

37

72

7

25
16
21
11
23
11
4

11
241

10
4
5
2
290

11

18
5
8

35

10
9
1
4

38
4
2

12
2
5
2

85
4
5
199
4
7

19
5
8

313

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

VIRGINIA— Continued

Clintwood

Coebum

Colonial Beach

Colonial Heights

Courtland

Covington

Crewe

Culpeper

Damascus

Danville

Dayton

Dublin

Dumfries

Edinburg

Elkton

Emporia

Exmore

Fairfax City

Falls Church

Farmville

Franldin

Fredericksburg

Fries

Front Royal

Galax

Gate City

Glade Spring

Glen Lyn

Gordonsville

Gretna

Grundy

Halifax

Hampton

Harrisonburg

Haysi

Hemdon

Hillsville

Honaker

Hopewell

Hurt

Independence

Iron Gate

Jones ville

Kenbridge

Kilmarnock

LawrenceviUe ■

Lebanon

Lecsburg

Lexington

Louisa

Luray

Lynchburg

Manassas

Manassas Park

Marion

Martinsville

Middleburg

Middletown

Mount Jackson

Narrows

New Market

Newport News

Norfolk

Norton

Onancock

Onley

Orange

2
6

11
31

19

g

25

4

90

2

9

5

1

8

24

3

63

35

19

24

49

2

29

25

3

3

1

4

3

6

4

240

45

1

32

3

3

49

3

2

1

3

4

4

S

7

17

19

2

10

164

41

17

20

56

3

1

I

5

2

274

702

17

1

1

9

2
6

6

25

1

14

5

18

4

79

1

6

5

1

4

18

3

51

28

15

19

42

2

22

25

3

3

I

4

3

6

4

185

34

1

25

3

3

40

3

2

1

3

4

4

5

7

16

14

2

10

142

32

12

15

49

3

1

1

5

2

233

629

13

1

1

9

41

73
4

VIRGINIA— Continued

Parksley

Pearisburg

Pembroke

Pennington Gap

Petersburg

Pocahontas

Poquoson

Portsmouth ■.

Pound

Pulaski

Purcellville

Quantico

Radford

Rich Creek

Richlands

Richmond

Roanoke

Rocky Mount

Rural Retreat

Saint Paul

Salem

Saltville

Shenandoah

Smithfield

South Boston

South Hill

Stanley

Staunton

Stephens City

Strasburg

Suffolk

Tappahannock

Tazewell

Urbanna

Victoria

Vienna

Vinton

Virginia Beach

Warrenton

Warsaw

Waverly

Waynesboro

Weber City

Williamsburg

Winchester

Wise

Woodstock

Wytheville

WASHINGTON

Aberdeen

Algona

Anacortes

Arlington

Auburn

Battle Ground .'.

Bellevue

Bellingham

Benton

Black Diamond

Blaine

Bonney Lake

Bothell

Bremerton

Buckley

Burlington

Camas

3
6
1

4
126

4

16

254

4
27

4

3
25

1

20

654

260

10

1

5
62

5

5
12
19
17

4
53

2

10
75

4
II

2

4

39

22

561

23

1

4
41

2
32
52

9

7
17

48

3

22

7

64

7

154

105

4

4

8

10

17

76

10

12

14

314

ible 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

WASHINGTON— Continued

stle Rock

ntralia

lehalis

leney

arkston

Elum

yde Hill

lUege Place

.Iville

►Iville Tribal ...

ismopolis

lulee Dam

lyton ,

s Moines

ipont

st Wenatchee .

tonville

imonds

lensburg

ma

lUmclaw
ihrata

erett

mdale

rks

g Harbor

and Coulee

■andview

>quiam ,

k'aco

.aquah

llama

:lso

mnewick

:nt ,

rkland

tcey

1 Conner

ike Stevens

mg Beach
mgview

mden

/nnwood

cCleary

edina

ercer Island

onroe

ontesano

.OSes Lake

iountlake Terrace.

(ount Vernon

[ukilteo ."

ormandy Park

orth Bonneville,.,.

ak Harbor

akville

cean Shores

lympia

Tnak

roville

thello

acific

asco

ort Angeles

ort Orchard

ort Townsend

rosser

ullman

5

22

19

11

15

4

6

11

8

30

6

3

5

17

1

7

2

40

16

10

13

13

129

9

14

II

7

3

16

30

2

18

4

21

54

75

39

26

3

3

5

56

7

42

7

6

35

7

10

26

25

29

7

10

1

26

1

11

63

13

11

13

6

39

37

14

9

13

28

4

17

13

10

9

4

6

7

7

15

5

3

3

12

I

6

2

32

14

5

10

8

103

6

9

6

6

3

11

22

2

11

4

17

43

54

30

23

3

3

4

49

6

36

3

6

27

7

5

17

21

22

6

9

1

17

1

7

48

8

5

9

5

28

26

10

8

8

19

WASHINGTON— Continued

Puyallup

Quincy

Raymond

Redmond

Renton

Republic

Richland

Ridgefield

Ritzville

Rosalia

Ruston

Seattle

Sedro Woolley , ,

Selah

Sequim

Shelton

Snohomish

Snoqualmie

Spokane

Steilacoom

Sumner

Sunnyside

Tacoma

Tonasket

Toppenish

Tukwila

Tumwater

Vancouver
Walla Walla

Warden

Washogall

Wenatchee

Westport

West Richland..
White Salmon...

Yakima

Yelm

WEST VIRGINIA

Alderson

Anmoore

Ansted

Athens

Barboursville

Bayard

Beckley

Belington

Belle

Benwood

Berkeley Springs

Bethlehem

Bluefield

Bradshaw

Bramwell

Bridgeport

Buckhannon

BumsviUe

Camden on Gauley .

Cameron

Cedar Grove

Ceredo

Chapmanville

Charleston

Charles Town

Chesapeake

Chester

Clarksburg

Clay

43

32

8

6

7

5

46

36

78

57

54

42

2

2

3

3

2

2

,386

1,013

13

9

10

9

9

5

28

16

12

10

5

5

290

241

9

7

15

10

21

16

288

261

4

4

16

10

33

26

14

14

86

71

51

32

3

2

8

6

46

30

11

7

11

7

4

4

93

87

5

4

2
3
2
3

13
1

61
3
4
9
4
7

31
4
I

19

II
1
1
4
5
9
3
199
9
5
5

40
1

2
3
2
2

11
1

43
3
4
9
3
5

25
3
1

14
9
I
I
4
5
5
3
171
7
5
5

31
1

315

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

WEST VIRGINIA— Continued

Clendenin

Cowen

Danville

Davy

Dunbar

East Bank

Eleanor

Elkins

Fairmont

Fairview

Fayetteville

Flemington

Follansbee

Fort Gay

Franklin

Gary

Gassaway

Gauley Bridge

Gilbert

Glasgow

Glenville

Grafton

Granville

Granttown

Grantsville

Hamlin

Handley

Harpers Ferry

Harrisvllle

Henderson

Hinton

Hundred

Huntington

Hurncane

laeger

Kenova

Kermit

Keyser

Keystone

Kimball

Kingwood

Lester

Lewisburg

Logan

Lost Creek

Lumberport

Mabscott

Madison

Man

Mannington. ..........

Marlinton

Marmet

Martinsburg

Mason

Masontown
Matewan

Matoaka

McMechen

Middleboume

Mill Creek

Milton

Monongah
Montgomery

Moorefield

Morgantown

Moundsville
Mount Hope

Mullens

New Cumberland
New Haven

19

9
6
1
2
3
2
3
3
5

14
2
1
3
3
3
3
3
1
9
1
129

13
3

13
3

13
4
3
5
1
8

13
1
3
5

5

1

4

1

14

1

1

13

38

2

3
1
8
4
1
2
3
2
2
3
4

10
2
1
2
2
3
3
2
1
5
1
107
8
3
9
3
8
4
3
5
1
7
9
1
3
6
7
6
5
2
5

25
4
1
3
1
3
1
1
1
1

12
3

49

18
5
6
3
2

14

22

WEST VIRGINIA— Continued

New Martinsville

Nitro

Northfork

Nutter Fort

Oak Hill

Oceana

Paden City

Parkersburg

Parsons

Pax

Pennsboro

Petersburg

Philippi

Piedmont

Pineville

Point Pleasant

Pratt

Princeton

Quinwood

Rainelle

Ranson

Ravenswood

Rhodell

Richwood

Ridgeley

Ripley

Rivesville

Romney

Ronceverte

Samt Albans

Saint Marys

Salem

Shepherdstown

Sistersvllle

Smithers

Sophia

South Charleston

Spencer

Star City .
Stonewood

SummersviUe

Sutton

Terra Alta

Vienna

War

Wardensville

Wayne

Webster Springs

Weinon

Wellsburg

Weston

Westover

West Union

Wheeling

Whitesville

White Sulphur Springs.

Williamson

Williamstown

WISCONSIN

Adams

Algoma

Altoona

Antigo

Appleton

Ashland

Ashwaubenon Village

Baraboo

Bayside

24

5

6

7

17

109,

21

26

21

15

316

able 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

WISCONSIN— Continued

Dam .

fl.i't

eioit Town

erlm

lack River Falls...

lloomer

irillion

;rodhead

irookfield

irown Deer

iurlington

iurlington Town ....

lutler

^ledonia

'edarburg

!henequa

'hilton

'hippewa Falls

lintonville

)olumbus

bmbined Locks

randon

'uba City

'udahy

)arlington

)e Forest

)elaneld

>elavan

)elavan Township..

)e Pere

)odgeville

>urand City

!ast Troy

last Troy Town

iau Claire

idgerton

llkhom

;lm Grove

Uroy

ivansville

■itchburg

*ond du Lac

'ort Atkinson

-ox Point

-ranklin

jermantown

jlendale

jreen Bay

jreendale

jreenfield

jrafton

Hales Comers

Hallie Town
Hartford

Hartland

Holmen

Horicon

Hudson

lanesville

lefFerson

Kaukauna

Kenosha

Kewaunee

Kewaskum

Kiel

Kimberly

La Crosse

Ladysmith

32

91

9

16

9

7

6

7

65

31

26

7

8

22

24

7

6

34

10

8

4

3

4

37

4

4

9

17

7

31

6

4

6

7

97

9

12

21

2

8

20

69

20

21

31

23

43

204

33

63

23

17

6

21

10

4

8

13

89

12

18

166

6

5

10

9

104

7

30

69

8

12

9

6

6

4

51

23

22

6

7

18

15

7

6

26

10

8

4

2

4

34

4

4

8

16

7

25

6

4

6

6

72

8

11

16

2

5

14

62

15

17

24

18

34

164

25

47

17

14

6

16

9

4

7

11

69

11

17

153

6

4

5

7

83

6

22

25

WISCONSIN— Continued

Lake Delton

Lake Geneva

Lake Mills

Lancaster

Little Chute

Madison

Madison Town

Manitowoc

Marinette

Marshfield

Mauston

Mayville

McFarland

Medford

Menasha

Menasha Town

Menomonee Falls

Menomonie

Mequon

Merrill

Middleton

Milton

Milwaukee

Minocqua

Monona

Monroe

Mosinee

Mount Pleasant

Mukwonago

Muskego

Neenah

New Berlin

New Holstein

New London

New Richmond

North Fond du Lac.

Oak Creek

Oconomowoc

Oconomowoc Town...

Oconto

Oconto Falls

Onalaska

Oregon

Oshkosh

Palmyra

Park Falls

Pewaukee

Platteville

Plover Village

Plymouth

Portage

Port Washington

Prairie du Chien

Prescott

Racine

Reedsburg

Rhinelander

Rice Lake

Richland Center

Ripon

River Falls

Rothschild

Saint Francis

Sauk Prairie

Saukville

Schofield

Shawano

Sheboygan

Shorewood

6

6

18

14

6

6

7

6

9

9

376

298

15

13

75

66

25

23

42

34

8

7

9

8

7

6

7

6

40

33

14

12

72

57

35

23

38

32

20

19

26

20

5

5

.370

2,059

14

9

21

18

29

22

6

5

15

9

10

8

30

22

51

43

61

49

6

6

15

15

10

9

6

5

43

40

28

22

7

7

7

7

5

5

14

13

7

6

94

89

4

3

6

6

14

12

24

19

4

4

11

10

23

18

20

15

13

9

6

5

264

206

13

8

25

18

23

21

10

9

15

11

14

13

5

5

19

18

10

9

6

5

5

5

20

18

112

94

30

24

317

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

WISCONSIN— Continued

Shorewood Hills ...
South Milwaukee..

Sparta

Stevens Point

Stoughton

Sturgeon Bay
Slurtevant

Summit

Superior

Thiensville

Tomahawk

Twin Lakes

Two Rivers

Verona

Viroqua

Washburn

Waterloo

Watertown

Waukesha

Waunakee

Waupaca

Waupun

Wausau

Wauwalosa

West Allis

West Bend

West Milwaukee...

West Salem

Whitefish Bay

Whitewater

Williams Bay
Wisconsin Dells
Wisconsm Rapids .

WYOMING

Afton .

Basin

Big Piney
Buffalo

5

34

12

47

17

18

6

5

77

7

8

11

30

8

7

4

5

36

113

6

13

15

60

110

156

47

26

5

27

30

5

13
46

5

32

12

39

16

17

6

5

64

6

6

7

25

7

7

4

5

30

87

5

10

15

53

88

134

38

21

4

23

20

5

13
39

WYOMING— Continued

Casper

Cheyenne

Cody

Cokeville

Diamondville

Douglas

Dubois

Encampment

Evanston

Evansville

Gillette

Glenrock

Green River

Greybull

Guernsey

Hanna

Jackson

Kemmerer

Lander

Laramie

Lusk

Lyman

Marbleton

Medicine Bow

Mills

Moorcroft

Newcastle

Pine Bluffs

Pinedale

Powell

Rawlins

Riverton

Rock Springs .;.

Saratoga

Sheridan

Shoshoni

Sundance

Thayne

Thermopolis

Tornngton

Wheatland

Worland

114

110

16

2

2

22

8

3

36

13

50

9

32

3

5

11

14

II

28

52

12

14

2

8

9

5

16
6
5

16

35

30

63

II

48

8

4

1

17

20

13

23

82

85

13

2

2

13

4

2

30

9

35

5

31

3

5

5

11

9

19

40

6

8

2

4

8

4

9

3

5

II

23

19

36

6

29

5

4

1

10

13

10

14

318

ible 76. — Number of Full-time Law Enforcement Employees, Universities and Colleges, October 31, 1983

University/College

Total police employees

Total

Officers Civilians

U n i versi t y /College

Total police employees

Total

Officers Civilians

ALABAMA

ubum University

cksonville State University

•oy State University

liversity of Alabama, Tuscaloosa

niversity of Montevallo

ARIZONA

rizona Slate University

rizona Western College

antral Arizona College

istem Anzona College

ma Community College

niversity of Arizona

ivapai College

ARKANSAS

niversity of Arkansas:

Fayetteville

Little Rock

Medical Science

CALIFORNIA

ilifomia State College:

Bakersfield

San Bernardino

Stanislaus

ilifomia State Polytechnic University:

Pomona

San Luis Obispo

ilifomia State University:

Chico

Dominguez Hills

Fresno

Fullerton

Hayward

Long Beach

Los Angeles

Northridge

Sacramento

San Diego

San Francisco

San Jose

ollege of the Sequoias

ontra Costa Community College

umboldt State University

ong Beach Community College

larin Community College

lerced Community College

in Jose Community College

3noma State University

niversity of Califomia:

Berkeley

Davis

Irvine

Lawrence Berkeley Laboratory

Lawrence Livermore Laboratory ...

Los Angeles

Riverside

San Diego

San Francisco

Santa Barbara

Santa Cruz

/est Valley College

15
16
13

27
20

12
20
25
28
17
40
40
34
28
35
24
43

2
18
19

7
10

1
12
18

89
68
33
27
275
90
21
38
36
34
20
11

19

26

12

1

7

I

28

3

8

5

38

27

5

1

6

18

4

29

52

6

11

4

10

6

12

1

14

13

12

8

9

3

12

8

17

8

15

13

9

8

22

18

22

18

20

14

15

13

22

13

19

5

25

18

7

15

3

12

7

7

9

1

1

6

6

11

7

66

23

42

26

28

5

12

15

31

244

55

35

13

8

21

17

20

16

23

11

14

6

10

1

COLORADO

Adams Slate College

Arapahoe Community College

Colorado State University

Red Rock Community College
University of Colorado:

Boulder

Colorado Springs

University of Norihem Colorado
University of Southem Colorado

CONNECTICUT

Central Connecticut Slate College
Eastern Connecticut State College
University of Connecticut:

Main Campus

Avery Point

Health Center

Western Connecticut Stale College

FLORIDA

Florida A & M University
Florida Atlantic University
Florida International University

Florida Stale University

University of Central Florida

University of Florida
University of North Flonda
University of South Florida
University of West Florida

GEORGIA

Augusta College

Columbus Col lege

Georgia Institute of Technology..
Georgia Southem College -

Georgia Stale University

Medical College of Georgia

University of Georgia

Valdosta Slate College

West Georgia College

ILLINOIS

Black Hawk College

Chicago Stale University

College of Dupage

Eastem Illinois University

Governors State University

Illinois Stale University

John A. Logan College

Lake County College

Morion College

Northeastem Illinois University.,

Northern lUinois University

Rock Valley College

Sangamon State University

Southem lUinois University:

Carbondale

Edwardsville

State Community College

Thornton Community College

319

Table 76. — Number of Full-time Law Enforcement Employees, Universities and Colleges, October 31, 1983 — Continued

University /College

ILLINOIS— Continued

Triton College

University of Illinois:

Chicago

Urbana

Waubonsee Community College

Western Illinois University

William Rainey Harper College

INDIANA

Indiana University:

Bloomington

Gary

Indianapolis

New Albany

IOWA

Iowa Stale University

University of Iowa

University of Northern Iowa

KANSAS

Emporia State University

Fort Hays State University

Kansas State University

Pittsburg State University

University of Kansas

University of Kansas, Medical Center

Wichita State University

KENTUCKY

Eastern Kentucky University

Morehead State University

Murray State University

Northern Kentucky University

University of Kentucky

University of Louisville

Western Kentucky University

LOUISIANA

Louisiana State University, Baton Rouge

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 State University

Sainl Mary's College

Salisbury State College

Towson State University

University of Baltimore

Total police employees

Total

Officers

Civilians

University/College

MARYLAND— Continued

University of Maryland:

Baltimore City

Baltimore County....

College Park

Eastern Shore

MASSACHUSETTS

Boston College

Boston University

North Adams State College..

Northeastern University

Tufts University

University of Massachusetts:

Amherst

Harbor Campus-Boston
Worcester

MICHIGAN

Centra! Michigan University

Delta College

Eastern Michigan University

Ferris State College

Grand Valley State College
Lansing Community College

Michigan State University

Michigan Technological University.

Northern Michigan University

Oakland University

Saginaw Valley State College

Western Michigan University

MINNESOTA

University of Minnesota

MISSISSIPPI

East Mississippi Jr. College
Mississippi State University
University of Mississippi

Total police employees

Total

MISSOURI

University of Missouri:

Columbia

Saint Louis

Washington University

NEBRASKA

University of Nebraska, Lincoln....
NEVADA

University of Nevada, Reno

NEW HAMPSHIRE

University of New Hampshire ,

52

44

Officers

40

320

ihlf 76. — Number of Full-time Law Enforcement Employees, Universities and Colleges, October 31, 1983 — Continued

University /College

Total police employees

Total

Officers Civilians

University/College

Total police employees

Total

Officers Civilians

NEW JERSEY

iiokdale Community College.

rhngton County College

assboro State College

■tn College

JJIesex County College

niimtuth College

niiJair State College

Ugcrs. University;

Camden

Newark

New Brunswick

Kkton State College

enton State College

illiam Paterson College

NEW MEXICO

stem New Mexico University...

w Mexico State University

liversity of New Mexico

estem New Mexico University..

NEW YORK

imell University

laca College

ite University of New York:

Albany

Binghamton

Buffalo

Downstate Medical Center

Maritime College

Stony Brook

Upstate Medical Center

ate University of New York

Agricultural and Technical College:

Alfred

Canton ,

Cobleskill "

Delhi

Farmingdale

Morrisville

ate University of New York College:

Brockport

Buffalo

Cortland

Environmental Science and Forestry .

Fredonia

Geneseo

New Paltz

Old Westbury

Oneonta

Optometry

Oswego

Plattsburgh

Potsdam

Purchase

Utica-Rome

NORTH CAROLINA

ppalachian State University

ast Carolma University

orth Carolina State University, Raleigh

niversity of North Carohna:

Chapel Hill

Charlotte

'estem Carolina University

14
11
30
25
14
19
27

25
41
104
16
20
27

11

3

10

1

4

26

15

10

12

2

14

5

12

15

15

10

19

22

55

49

14

2

15

5

12

15

65

5

13

9

32

9

22

59

12

59

9

77

11

2

45

12

10

8

g

13

9

21

26

17

9

15

16

22

13

11

20

7

21

2

11

12

2

18

7

10

1

OHIO

Cleveland State University

Kent State University

Miami University

Ohio State University

University of Toledo

Wright State University

Youngstown State University

OKLAHOMA

Central State University

Northeastern State College

Oklahoma State University

Putnam City Campus

University of Oklahoma:

Health Science Center

Norman

OREGON

Oregon State University

PENNSYLVANIA

Bloomsburg University

Califomia University

Cheyney University

Clanon University

East Stroudsburg University

Edinboro University

Elizabethtown College

Indiana University of Pennsylvania

Kutztown University

Lehigh University

Lincoln University

Lock Haven University

Mansfield University

Millersville University

Pennsylvania State University:

Altoona Campus

Behrend College

Capitol Campus

McKeesport Campus

University Park

Shippensburg University

Slippery Rock University

University of Pittsburgh. Bradford.
West Chester University

RHODE ISLAND

University of Rhode Island

SOUTH CAROLINA

Clemson University

University of South Carolina

TENNESSEE

Austin Peay State University

East Tennessee State University

Middle Tennessee State University .
University of Tennessee:

Martin

Memphis

25

17

16

1

1?

10

10

2

14

1

14

1

6

2

16

7

14

4

12

4

3

7

11
14

3

2

6

5

4

51

18

13

14

5

13

5

28

321

Table 76. — Number of Full-time Law Enforcement Employees, Universities and Colleges, October 31, 1983 — Continued

University/College

Total police employees

Total

Officers Civilians

University/College

Total police employees

Total

Officers Civilians

TEXAS

Angelo State University

Baylor University

Eastfield College

East Texas State University

Lamar University

McLennan Community College

Midwestern University

North Texas State University

Pan American University

Richland College

Southern Methodist University

Southwest Texas State University

Stephen F. Austin State University

Sul Ross State University

Texas A and M University

Texas A and M University, Galveston

Texas Arts and Industries

Texas Christian University

Texas College Osteo. Med

Texas Medical Center

Texas State Tech. Institute

Texas Tech. University

Texas Tech. Health Science Center

Texas Woman's University
University of Houston:

Central Campus

Clear Lake

Downtown Campus....

University of Texas:

Arlington

Austm

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:

Provo

Salt Lake City

Weber State College

II

27

7

20

22

4

8

29

15

12

26

21

29

9

66

8

19

19

14

17

15

48

27

28

70
13

21

47
146
28
45
70
134
10
31
44

43

28

VIRGINIA

College of William and Mary:

Christopher Newport College

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

WASHINGTON

Central Washington University

University of Washington

Washington State University

WEST VIRGINIA

Blucfield State College

Concord College

Glenville State College

Marshall University

Potomac State College

West Liberty State College

West Virginia Institute of Technology

West Virginia State College

West Virginia University

WISCONSIN

University of Wisconsin:

Eau Claire

Green Bay

Madison

Milwaukee

Oshkosh

Parkside

River Falls

Whitewater

WYOMING

University of Wyoming

27

322

ible 77. Number of Full-time Law Enforcement Employees, Suburban Counties, October 31, 1983

County by State

Total
Police

Employees

ALABAMA

lutauga

laldwin

Ilount

^Ihoun

lolbert

ilmore

;towah

efferson

^uderdale....

4adison

ilobile

dontgomery .

lussell

helby

iaint Clair....
'uscaloosa ....
Valker

ARIZONA

4aricopa .
'ima

ARKANSAS

Crawford

Crittenden...

'aulkner

efferson

a)noke

vliUer

'ulaski

ialine

iebastian

A'ashington

CALIFORNIA

Alameda

Butte

Contra Cos '.a

El Dorado

Fresno

Kern

Los Angeles

Marin

Monterey

Napa

Orange

Placer

Riverside

Sacramento

San Bernardino..

San Diego

San Joaquin

San Mateo

Santa Barbara...

Santa Clara

Santa Cruz

Shasta

Solano

Sonoma

Stanislaus

Sutter

Tulare

Ventura

Yolo

Yuba

Total
Officers

21

21

69

21

16

13

30

30

30

19

23

14

40

24

450

362

33

22

76

57

190

130

120

107

31

16

51

37

23

15

94

71

16

16

954
603

21
38
21
46
1

23
243
25
43
48

362
294

Total
Civilians

958

649

124

52

578

410

155

122

551

284

615

395

8,124

6,129

201

131

323

240

85

56

1,202

741

199

120

812

477

1,065

782

1,029

802

1,557

984

369

285

425

340

424

217

780

616

202

101

160

115

192

80

316

179

317

203

95

75

292

213

743

501

147

121

68

51

592
309

County by State

Total
Police

Employees

COLORADO

Adams

Arapahoe

Boulder

Douglas

El Paso

Jefferson

Larimer

Pueblo

Teller

Weld

DELAWARE

New Castle Police
Department

FLORIDA

8

13

35

3

9

12

38

8

9

9

12

11

221

22

13

12

20

23

44

4

309

72

168

33

267

220

1,995

70

83

29

461

79

335

283

227

573

84

85

207

164

101

45

112

137

114

20

79

242

26

17

Alachua

Bay

Bradford

Brevard

Broward

Clay

Dade

Escambia

Gadsden

Hernando

Hillsborough .

Lee

Leon

Manatee

Marion

Martin

Nassau

Okaloosa

Orange

Osceola

Palm Beach..

Pasco

Pinellas

Polk

Saint Johns...
Saint Lucie...
Santa Rosa..

Sarasota

Seminole

Volusia

GEORGIA

Barrow.

Bibb

Butts

Chatham County Police

Department

Chatham

Cherokee

Clarke

Clarke Police

Department
Clayton PoHce

Department

Clayton

Cobb

Cobb Police

Department...

Columbia

Total
Officers

182
262
177

53
195
315
164
186

22
152

215

210

160

18

363

1,419
118

3,015

564

43

114

1,270
371
227
296
203
156
61
103

1,138
131
987
345

1,091
550
113
173
95
369
273
266

1

152

15

147
21
39
59

58

160
107
186

342
43

Total
Civilians

143

197

119

42

135

238

108

158

16

93

193

149
86

8

190

522

76

2,219

227

17

45

543

190

136

227

94

98

34

62

442

75

439

195

412

265

70

79

72

159

132

176

14

142

12

101
18
31
56

54

142
89
153

274
40

22

County by State

Total

Police

Employees

GEORGIA— Con.

61

74

10

173

897

42

796

337

26

69

727

181

91

69

109

58

27

41

696

56

548

150

679

285

43

94

23

210

141

90

Coweta

Dade

De Kalb

De Kalb Police

Department

Dougherty

Douglas

Effingham

Fayette

Forsyth

Fulton

Fulton Police

Department
Gwinnett Police

Department

Henry
Henry Police

Department

Houston

Jackson

Jones

Lee

Madison

Paulding

Peach

Rockdale

Spalding

Walker

Walton

IDAHO

Ada..

ILLINOIS

68

Boone

Champaign....

Clinton

Cook

Du Page

Grundy

Henry

Jersey

Kane

Kankakee

KendaU

Lake

Macon

Madison

McHenry

McLean

Menard

Monroe

Peoria

Rock Island.

Sangamon

Saint Clair...

Tazewell

Will

Winnebago.
Woodford

INDIANA

Allen

Boone

De Kalb
Dearborn .

Total
Officers

Total
Civilians

33

8

206

654
46
86
12
39
35

262

191

231
27

60
57
19
20
7
13
31
19
67
42
37
29

174

30

105

16

561

300

34

29

13

136

85

30

220

88

107

102

82

11

16

152

74

136

60

45

223

204

19

26

5

161

456
46
44
6
28
24

228

155

179

25

53
38
19
14
7
8
23
19
57
27
33
24

107

17
46
10
491
253
21
26
13

101
42
18

129
49
74
76
40
6
7
62
45
71
54
30

142

118
13

74

124

20

10

16

16

14

11

7

3

45

198

42
6
II
11

34

36

52
2

7
19

10
15

4
5

67

13
59

6
70
47
13

3

35
43
12
91
39
33
26
42

5

9
90
29
65

6
15
81
86

6

50
10

323

Table 77. — Number of Full-time Law Enforcement Employees, Suburban Counties, October 31, 1983 — Continued

County by State

Total

Police

Employees

Total
Officers

Total
Civilians

County by State

Total

Police

Employees

Total
Officers

Total
Civilians

County by State

Total

Police

Employees

Total
Officers

INDUNA— Con.

Delaware

Elkhart

Hamilton

Hancock

Harrison

Hendricks

Howard

Johnson

Lake

Marion

Monroe

Porter

Saint Joseph

Shelby

Tippecanoe

Tipton

Vanderburgh

Vigo

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

Bourbon

Bullitt Police

Department

BuUitt

Campbell Police

Department

Carter

Christian

Christian Police

Department

Clark

Daviess

Greenup

Henderson

Jefferson Pohce

Department

45
93
46
23
15
42
51
41

246

593
40
88

144
27
66
15

107
47

71
II
13
45
49
90
170
56
68
12
65

30
48
147
35
17
179
102
86

66
6

7
6

20
6
16

4
6
23
7
9

583

35

53

24

19

7

19

31

31

201

532

40

43

113

16

31

6

91

34

51
10
7
35
33
68
124
35
38

29

28
24

123
35
17

117
80
34

61
6

7
4

18
6

14

3
6
19
6
9

406

177

KENTUCKY— Con.

Kenton Pohce

Department

Oldham Police

Department

Oldham

Scott

Shelby

Woodford Pohce

Department

LOUISIANA

Ascension

Bossier

Caddo

Calcasieu

East Baton Rouge

Jefferson

Lafayette

Lafourche .."..

Livingston

Ouachita

Rapides

Saint Martin

Saint Charles

Saint Tammany

West Baton Rouge

MAINE

Androscoggin

Cumberland

MARYLAND

Allegany

Anne Arundel

Anne Arundel Police

Department

Baltimore Police

Department

Baltimore

Calvert

Carroll

Cecil

Charles

Frederick

Harford

Howard Police

Department

Howard

Montgomery Police

Department

Montgomery

Prince Georges Police

Department
Prince Georges

Queen Annes

Washington

MICHIGAN

Bay

Berrien

96

72
298
360
513
1,024
253
160
119
153
126

57
158
198

47

26
29

560

1,517
43
20
40
51

113
39

167

230
22

990
76

1,179

162

13

67

92
131

25

92

72

298

360

513

667

253

126

119

153

126

57

98

197

37

448

79
105

357
34

112

1,385

132

39

4

18

2

40

19

32

100

13

35

4

167

180

50

19

3

795

195

67

9

871

308

130

32

12

1

33

34

MICHIGAN— Con.

Calhoun

Clinton

Eaton

Genesee

Ingham

Jackson

Kalamazoo

Kent

Lapeer

Livingston

Macomb

Midland

Monroe

Muskegon

Oakland

Ottawa

Saginaw

Saint Clair

Washtenaw

Wayne

MINNESOTA

Anoka

Benton

Carver

Chisago

Clay

Dakota

Hennepin

Isanti

Olmsted ..:

Ramsey

Saint Louis

Scott

Sherburne

Steams

Washington

Wright

MISSISSIPPI

Harrison

Hinds

MISSOURI

Boone

Buchanan

Cass

Clay

Franklin

Greene

Jasper

Jefferson

Lafayette

Newton

Platte

Ray

Saint Louis Police

Department

Saint Charles

MONTANA

Cascade

Yellowstone

63
31
93

75
166

71
155
292

44

81
255

55
142

83
422

92
127

79
220
510

113
13

47

37

29

71

395

20

49

253

130

56

29

50

85

54

74
110

46

47
20
77
41
81
53
84
20
19
41
16

731
119

324

le 77. Number of Full-time Law Enforcement Employees, Suburban Counties, October 31, 1983 — Continued

County by State

Total

Pobce

Employees

NEBRASKA

;ota

Jglas

icaster

py

shington
NEVADA

shoe

NEW JERSEY

antic

antic Prosecutor

gen

gen Police

lepartment

gen Prosecutor

■lington

lington Prosecutor

nden

nden Prosecutor

K May

K May Prosecutor

nberland

nberland

rosecutor

ex Police

lepartment

ex

ex Prosecutor

lucester

mcester Prosecutor

dson

dson Police

>epartment

dson Prosecutor

nterdon

nterdon Prosecutor.

rcer

rcer Prosecutor

ddlesex

ddlesex Prosecutor

inmouth

inmouth Prosecutor

irris

>rris Prosecutor ......

ean

ean Prosecutor

isaic

ssaic Prosecutor

,em

lem Prosecutor

merset

merset Prosecutor...

ssex

ssex Prosecutor

lion

lion Police

Department

lion Prosecutor

arren

arren Prosecutor

NEW MEXICO

imalillo

Total
Officers

14
128
69

73

246

178
101
303

HI
119
192

40
328
153

81

21
117

22

121
361
320
140

52
123

72

168

13

27

88

87

169

155

146

52

148

99

204

73

317

122

65

14

102

65

15

16

109

158

175

6

19

203

Total
Civilians

186

134

62

266

78
161

31
256
113

63

II
100

119

318

217

91

24

93

63
91
9
12
71
55

122
88

135
38

103
63

157
36

272

90

51

9

62

37

9

9

94

145

96

6

6

141

60

County by State

Total

Police

Employees

NEW YORK

43
103
49
28
30

9
77

4
15
17
32
47
67
11
14
45
36
47
37
45
32
14

5
40
28

6

7
15

13

79

Albany

Broome

Chemung

Dutchess

Erie

Greene

Herkimer

Livingston

Madison

Monroe

Nassau

Niagara

Oneida

Onondaga

Ontario

Orange

Orleans

Oswego

Putnam

Rensselaer

Rockland

Saratoga

Schenectady

Suffolk

Suffolk Police
Department-.

Tioga

Warren

Washington

Wayne

Westchester

NORTH CAROLINA

Alamance

Alexander

Buncombe

Burke

Cabarrus

Catawba

Cumberland

Davidson

Davie

Durham

Forsyth

Franklin

Gaston PoUce

Department..-.

Guilford

Lincoln

Mecklenburg Police

Department

New Hanover

Onslow

Orange

Randolph

Rowan

Stokes

Union

Wake

Yadkin

62

NORTH DAKOTA

Burleigh
Cass

Total
Officers

92
64
43
95

266

10

5

38

14

266
3,813

119
66

323
62
40
48
53
48
24
61
57
11

241

3.173
30
52
23
43
229

70

19

126

47
71
72

249
89
21
94

162
25

85

221

32

137
125
90
56
61
80
33
43
177
22

Total
Civilians

71
48
40
75

250

10

2

36

10

224
3,261

110
46

263
46
40
40
42
48
12
44
52
6

158

2,629
28
49
17
36
216

67
12

121
36
71
71

206
64
18
75

159
12

76

200

30

112
100
62
53
47
71
27
41
133
18

3

2

4

42

552

9

20

60

16

12

17

5

5

83

544
2
3
6
7
13

NORTH DAKOTA-
Con.

Grand Forks .
Morton

County by State

Total

PoUce

Employees

OHIO

1

43
25

3
19

3
13

9

21
2

25

25

28

3

14
9
6
2
44
4

Allen

Auglaize

Belmont

Butler

Carroll

Clark

Clermont

Fairfield

Franklin

Fulton

Geauga

Greene

Hamilton

Lake

Lawrence

Licking

Lorain

Lucas

Madison

Mahoning

Medina

Miami

Montgomery .

Pickaway

Portage

Richland

Stark

Trumbull

Union

Warren

Washington--.
Wood

OKLAHOMA

Canadian

Cleveland

Comanche

Creek

Garfield

Logan

McClain----.

Oklahoma

Osage

Pottawatomie -

Rogers

Sequoyah

Tulsa

Wagoner ........

OREGON

Clackamas....

Jackson

Lane

Marion

Multnomah ..

Polk

Washington. -
Yamhill

86
29
22
97
16

113
80
62

454
28
36
69

576
70
27
65

123

301
21
62
59
55

229
38
46
59

123
80
24
61
29
52

20
37
45
17
17
11
10
106
18
18
19
7

Total
Officers

Total
Civilians

57
21
18
78
14
99
64
51

328
15
22
60

479
36
18
36
51

165
15
53
39
40

190
34
22
40

101
45
19
44
20
35

194

159

12

9

124

96

25

19

57

38

79

65

304

196

23

15

141

108

35

25

35
3

28
6
19
14
108
8
33
10

325

Table 77. — Number of Full-time Law Enforcement Employees, Suburban Counties, October 31, 1983— Continued

County by State

Total
Police

Einployees

Total
Officers

Total
Civilians

County by State

Total

Police

Employees

Total
Officers

Total
Civilians

County by State

Total

Police

Employees

Total
Officers

PENNSYLVANIA

Allegheny

Allegheny Police

Depailment

Beaver

Chester Detective

Columbia

Cumberland

Montgomery Detective

Washington

Westmoreland

Detective

SOUTH CAROLINA

Aiken

Anderson

Berkeley
Charleston Police

Department

Dorchester

Florence

Greenville

Lexington

Pickens

Richland

Spartanburg

York

SOUTH DAKOTA

Minnehaha

TENNESSEE

Anderson

Carter

Cheatham

Dickson

Grainger

Hamilton

Jefferson

Knox

Marion

Montgomery

Robertson

Rutherford

Sequatchie

Sullivan

Sumner

Tipton

Unicoi

Union

Washington

Williamson

TEXAS

Bell

Bexar

Bowie

Brazos

Brazoria

Cameron

Collin

Comal

Coryell

Dallas

125

249
16
16
7
12
25
13

54

206
49
62
206
132
45
221
147
68

56

42
43
18
31
9

102
24

338
22
64
37
47
11

125
38
1

21
13
32
36

67

71
42
42

II
53
84
32
12

970

110

211
10
14

6
12
20

9

46
66

32

153
33
51

183
88
39
193
142
50

47

37
37
11
15

g
83
14
160
19
58
36
28

6

125

25

10

15

9
32
22

32

511

33

20

115

41

44

26

12

437

5
6
7

16
I

19

10

178

3

6

I

19
5

35
207

9
22

3

12
40

6

TEXAS— Con.

Denton

Ector

El Paso

Ellis

Fort Bend

Galveston

Grayson

Gregg

Guadalupe ...

Hardin

Harris

Harrison

Hays

Hidalgo

Jefferson

Johnson

Kaufman

Liberty

Lubbock

McLennan ....

Midland

Montgomery .

Nueces

Orange

Parker

Potter

Randall

Rockwall

San Patricio..

Smith

Tarrant

Taylor

Tom Green...

Travis

Victoria

Waller

Webb

Wichita

Williamson...
Wise

UTAH

Davis

Salt L?ke..

Utah

Weber

VERMONT

Grand Isle

533

VIRGINIA

Albemarle

Amherst

Botetourt

Campbell

Charles City

Chesterfield Police

Department

Dinwiddie

Fairfax Police

Department

Fluvanna

Gloucester

Goochland

Greene

49

105

376

36

123

154

53

73

22

24

1,190

31

26

95

87

31

23

38

121

93

62

180

147

61

22

112

37

14

39

79

303

69

48

299

67

19

148

61

37

24

97

548

71

83

46
31
32
46
10

220
30

1,004
II

28
15
9

32
91

327
24

104

137
36
51
13
15

802
21
14
77
67
14
12
24

102
62
48

141

136
30
13

103
33
14
26
37

277
40
43

159
50
10

130
23
22
24

75

321

53

32

40
29
26

45
5

174

23

797
8
17
12
4

17

14

49

12

19

17

17

22

9

9

388

10

12

18

20

17

11

14

19

31

14

39

II

31

9

9

4

13
42
26
29

5

140

17

9
1

38
15

22

227

1

51

207

VIRGINIA— Con.

Hanover

Henrico

James City Police

Department

Loudoun

New Kent

Pittsylvania

Powhatan

Prince George

Prince William Police

Department

Roanoke

Scott

Stafford

Washington

York

WASHINGTON

Benton

Clark

Franklin

King

Kitsap

Pierce

Snohomish

Spokane

Thurston

Whatcom

Yakima

WEST VIRGINIA

Brooke

Cabell

Hancock

Kanawha

Marshall

Mineral

Ohio

Putnam

Wayne

Wood

WISCONSIN

Brown

Calumet

Chippewa

Dane

Douglas

Kenosha

La Crosse....

Marathon

Outagamie....

Ozaukee

Racine

Rock

Sheboygan....

St Croix

Washington .
Waukesha .-.
Winnebago . .

WYOMING

Natrona .

88
420

29
102
15
68
13
32

233
136
27
51
37
50

61
111

38
623

68
250
155
235

97

49
154

141

27

27

217

32

140

43

72

86

51

170

132

104

18

75

232

104

84

326

ble 78. — Number of Full-time Law Enforcement Employees, Rural Counties, October 31, 1983

Total

Police

employees

Total
Officers

Total
Civilians

County by State

Total

Police

employees

Total
Officers

Total
Civilians

County by State

Total

Police

Employees

Total
Officers

Total
Civilians

ALABAMA

ARIZONA

ARKANSAS

25
98

'93
70
15
19
31
98
60

172
30

104

16

58
69
34
14
12
27
71
34
100
15
55

ARKANSAS— Con.

Bradley

Calhoun

Carroll

Chicot

Clark

Clay

Cleburne

Cleveland

Columbia

Conway ..

Craighead

Cross

Dallas

Desha

Drew

Franklin

Fulton

Garland

Grant

Greene

Hempstead

Hot Spring

Howard

Independence

Izard

Jackson

Johnson

Lafayette

Lawrence

Lee

Lincoln

Little River

Logan

Madison

Marion

Mississippi

Monroe

Montgomery

Nevada

Newton

Ouachita

Perry

Phillips

Pike

Poinsett

Polk

Pope

Prairie

Randolph

Saint Francis

Scott

Searcy

Sevier

Sharp

Stone

Union

Van tiuren

White •.

Woodruff

Yell

CALIFORNIA

Alpine

Amador

Calaveras

Colusa

Del Norte

Glenn

Humboldt

41
48
41
35
45
129

8

6

6

8

5

4

in

6

7

8

5

5

5

3

4

5

5

4

32

10

5

7

5

5

3

5

10

8

g

8

2

4

4

6

8

5

6

16

23

7

4

7

9

8

4

4

4

2

6

5

4

5

5

7

24

CALIFORNIA— Con.

Impenal

Inyo

Kings

Lake

Lassen

Madera

Mariposa

Mendocino

Merced

Modoc

Mono

Nevada

Plumas

San Benito

San Luis Obispo

Sierra

Siskiyou

Tehama

Trinity

Tuolumne

COLORADO

Alamosa

Archuleta

Baca

Bent

Chaffee

Cheyenne

Clear Creek

Conejos

Costilla

Crowley

Custer

Delta

Dolores

Eagle

Elbert

Fremont

Garfield

Gilpin

Grand

Gunnison

Hinsdale

Huerfano

Jackson

Kiowa

Kit Carson ..

La Plata

Lake

Las Animas.

Lincoln

Logan

Mesa

Mineral

Moffat

Montezuma..

Montrose

Morgan

Otero

Ouray

Park

Philhps

Pitkin

Prowers

Rio Blanco..
Rio Grande .

Routt

Saguache

178

108

42

33

107

82

84

68

29

20

60

46

36

20

118

70

144

121

15

14

48

32

92

72

47

33

27

18

178

96

15

11

50

39

54

40

33

28

68

42

16

16

10

5

9

5

8

5

16

10

6

6

24

17

8

8

9

8

2

2

6

4

27

17

5

5

40

36

7

6

31

25

44

39

9

4

22

12

12

11

4

3

9

9

3

3

3

3

9

9

34

31

13

8

14

13

7

6

15

15

113

109

28

26

30

27

27

25

22

22

15

15

3

3

12

10

7

3

29

26

9

9

17

8

14

13

22

20

10

6

327

Table 78. Number of Full-time Law Enforcement Employees, Rural Counties, October 31, 1983— Continued

County by State

Total

Police

Employees

COLORADO— Con.

San Juan

San Miguel

Sedgwick

Summit

Washington

Yuma

FLORIDA

Baker

Calhoun

Charlotte

Citrus

Collier

Columbia

De Soto

Dixie

Flagler

Franklin

Gilchrist

Glades

Gulf

Hamilton

Hardee

Hendry

Highlands

Holmes

Indian River..

Jackson

Jefferson

Lafayette

Lake

Levy

Liberty

Madison

Monroe

Okeechobee ..

Putnam

Sumter

Suwannee

Taylor

Union

Wakulla

Walton

Washington .

GEORGIA

Appling
Atkinson
Bacon
Baldwin ..

Banks

Bartow .
Ben Hill
Berrien
Bleckley . .
Brooks .
Bryan
Bulloch
Burke

Total
Officers

23
12

149

109

321

49

52
13
34
26
17
24
1

27
38
65
91
16
132
37
16
10
154
33
II
17
197
58
92
45
21
25
14
31
41
27

15

6

9

41

7

37

10

9

10

7

13

17

36

Total
Civilians

13
6
88
77
178
27
25

8
20
15

9
16
10
15
21
33
47
13
92
19

8

5
70
30

5
14
92
31
54
23
18
16

7
21
25
17

County by State

Total

Police

Employees

10

6

61

32

143

22

27

5

14
11

12

17

32

44

3

40

18

8

5

84

3

6

3

105

27

38

22

3

9

7

10

16

10

GEORGIA— Con.

Calhoun

Camden

Carroll

Charlton

Chattooga

Clay

Chnch

Coffee

Colquitt

Cook

Crawford

Crisp

Dawson

Decatur

Dodge

Dooly

Early.....

Echols

Elbert

Emanuel

Evans

Fannin

Floyd

Floyd Police
Department..

Franklin

Gilmer

Glynn

Gordon

Grady

Greene

Hall

Haralson

Harris

Hart

Heard

Irwin

Jasper

Johnson

Lamar

Lanier

Liberty

Lincoln

Lumpkin

Marion

Mcintosh

Menwether ....

Miller

Mitchell

Monroe

Oglethorpe

Pike

Pulaski

Putnam

Quitman

Rabun

Randolph

Screven

Seminole

Stephens ,

Stewart

Sumter

Total
Officers

7

18
37

8
19

3

6
14
24
10

9
19
12
16
10

8
13

2
13
18

7

12
57

53

14

10

96

29

19

7

107

15

21

17

7

5

II

12

11

9

34

8

16
5
13
17
6
II
36
9
8

10
24
2
9
9
6
8

14

6

20

7

14

25

4

18

3

5

10
21
9
4
9
8

10
6

Total
Civilians

10

18

3

7
53

44

1

9

80

I

10

7

86

15

16

12
5
5
7

II

II
4

15
4

13
3

10
9
6

10

33
6
5
4

24
2
9
8
6
6

County by State

Total

Pohce

Employees

GEORGIA— Con.

Tattnall

Taylor

Terrell

Thomas

Tift

Toombs

Treutlen

Troup

Union

Upson

Ware

Washington

Wayne

Webster

Wheeler

White

Whitfield

Wilkes

Worth

21

Hawaii

Kauai...

Maui...

HAWAII

IDAHO

Adams

Bannock

Bear Lake...

Benewah

Bingham

Blaine

Boise

Bonner

Bonneville...
Boundary ....

Butte

Camas

Canyon

Caribou

Cassia

Clark

Clearwater ..

Custer

Elmore

Franklin

Fremont

Gem

Gooding

Idaho

Jefferson

Jerome

Kootenai....

Latah

Lewis

Lincoln

Madison

Minidoka ...
Nez Perce..
Oneida

Total
Officers

Total
Civilians

10

6

7

4

11

5

24

15

27

16

10

10

5

5

36

25

8

3

17

17

35

22

19

19

18

18

5

2

3

2

9

5

70

54

9

7

13

7

157
144
271

7
48
10
12
22
19
7

34
48
16

3

2
72
12
18

5
28
10
20

7
14
18
13
24
18
15
61
24
13

8
10
19
26

9

140
116

223

7
47

5

12
22
19

7
34
48

6

3

2
72
12
18

2
17

5
19

4
14
17

9
24
10
15
46
24
13

8

10

19

25

5

328

ible 78. — Number of Full-time Law Enforcement Employees, Rural Counties, October 31, 1983 — Continued

Total

Police

employees

Total
Officers

Total
Civilians

County by State

Total
Police

Employees

Total
Officers

Total
Civilians

County by State

Total

Police

employees

Total
Officers

Total
Civilians

ILLINOIS— Con.

35

9
15

5
22

4
17
10
25
10
11
37
14

6
53
14
18
13
13
18
12
12
22
33

3
10

9

4
11
26
29
13
19
17

4
31
48
11
27
40
32
30
18
17
12
13
16
17
15
29
13
43
17
16

Pike

Pope

Pulaski

Putnam

Randolph

Richland

Saline

Schuyler

Scott

Shelby

Stark

Stephenson...

Union

Vermilion

Wabash

Warren

Washington..

Wayne

White

Whiteside

Williamson...

INDIANA

Adams

Bartholomew..

Benton

Blackford

Brown

Cass

Clinton

Crawford

Daviess

Decatur

Dubois

Fulton

Gibson

Grant

Henry

Jackson

Jasper

Jay

Jefferson

Jennings

Knox

Kosciusko

La Porte

Lagrange

Lawrence

Marshall

Montgomery ..

Ohio

Owen

Parke

Perry...

Pulaski

Randolph
Ripley ............

Rush

Scott

Starke

Steuben

Wabash

Washington....

Wayne

Wells

15
21
20

4
13
13

7
10
13
39
24
12
17
17
16

8

17
27
102
16
22
28
18

3
11
12

6

9
13

6
19
12
17
26
21

9
56
11

IOWA

Adair

Adams

Allamakee

Appanoose

Audubon

Benton

Boone

Buchanan

Buena Vista

Butler

Calhoun

Carroll

Cass

Cedar

Cerro Gordo

Cherokee

Chickasaw

Clarke

Clay

Clayton

Clinton

Crawford

Davis

Decatur

Delaware

Des Moines

Dickinson.....

Emmet

Fayette

Floyd

Franklin

Fremont

Greene

Grundy

Guthrie

Hamilton

Hancock

Hardin

Harrison

Henry

Howard

Humboldt

Ida

Iowa

Jackson

Jasper

Jefferson

Jones

Keokuk

Kossuth

Lee

Louisa

Lucas

Lyon

Madison

Mahaska

Marion

Marshall

Mills

Mitchell

Monona

Monroe

Montgomery

Muscatine

O'Brien

10

6

7

7

7

4

14

8

7

7

14

8

11

8

10

5

10

5

11

9

6

5

12

4

29

16

7

5

10

5

6

3

15

7

7

6

30

22

9

7

3

2

9

8

12

10

29

15

8

7

11

6

6

5

10

6

7

6

9

5

9

5

8

4

10

4

8

7

11

6

10

7

12

4

11

5

6

5

8

6

16

12

11

7

10

6

11

6

9

4

11

6

9

6

8

7

26

12

13

9

5

3

12

8

9

5

11

5

8

7

17

7

7

5

7

6

11

5

5

5

9

4

21

15

12

7

329

Table 78. — Number of Full-time Law Enforcement Employees, Rural Counties, October 31, 1983— Continued

County by State

Total

Police

Employees

Total
Officers

Total
Civilians

County by State

Total

Police

Employees

Total
Officers

Total
Civilians

County by State

Total

Police

Employees

Total
Officers

IOWA— Con.

Osceola

Page

Palo Alto

Plymouth

Pocahontas

Poweshiek

Ringgold

Sac

Shelby

Sioux

Story

Tama

Taylor

Union

Van Buren

Wapello

Washington

Wayne

Webster

Winneshiek

Winnebago

Worth

Wright

KANSAS

Allen

Anderson

Atchison

Barber

Barton

Bourbon

Brown

Chase

Chautauqua

Cherokee

Cheyenne

Clark

Clay

Cloud

Coffey

Comanche

Cowley

Crawford

Decatur

Dickinson

Doniphan

Edwards

Elk

Ellis

Ellsworth

Finney

Ford

Franklin

Geary

Gove

Graham

Grant

Gray

Greeley

Greenwood

Hamilton

Harper

Harvey

Haskell

Hodgeman

Jackson

Jeffer«)n

10
3
9
8

21
4
9
5
4

15
5
7
9
6

15
3

16

19
7

13
8
8
6

15
7

42

17

17

34
3
7

15
5
7

10
7
4

22
7
7

10

12

5
3.

5
7
13
4
9
5

4

5

8

2

15

12

2

13

4

2

2

13

3

21

13

10

34

3

4

9

4

4

10

7

4

16

3

3

10
II

KANSAS— Con.

Jewell

Kearny

Kingman

Kiowa

Labette

Lane

Lincoln

Linn

Logan

Lyon

Marion

Marshall

McPherson

Meade

Mitchell

Montgomery ...

Morris

Morton

Nemaha

Neosho

Ness

Norton

Osage

Osborne

Ottawa

Pawnee

Phillips

Pottawatomie..

Pratt

Rawlins

Reno

Repubhc

Rice

Riley Police
Department..

Rooks

Rush

Russell

Saline

Scott

Seward

Sheridan

Sherman

Smith

Stafford

Stanton

Stevens

Sumner

Thomas

Trego

Wabaunsee

Wallace

Washington

Wichita

Wilson

Woodson

KENTUCKY

Allen

Ballard

Barren

Bracken

Breckinridge .

Caldwell

Calloway

Carlisle

CarroU

6
8
6
8

11
4
6

10
1

21
4
3
9
3
4

15
2
3
5
9
3
3

12
3
4
6
3

II
7
2

43
4
3

7
3
3

10

33
2

14
1
9
2

14
5
4

II
6
3
4
2
4
3
6
9

KENTUCKY— Con.

Clay

Clinton

Cumberland

Edmonson

Estill

Fleming

Floyd

Franklin

Fulton

Garrard

Graves

Grayson

Green

Hancock

Hardin

Harrison

Henry

Hickman

Jackson

Johnson

Knox

Larue

Laurel

Letcher

Livingston

Lyon

Lyon Police

Department

Madison

Magoffin

Marion

Marshall

Martin

Mason

McCracken Police

Department

McCracken

McLean

Mercer

Monroe

Muhlenberg

Nelson

Nicholas

Ohio

Owen

Owsley

Perry

Pulaski

Robertson

Rockcastle

Russell

Simpson

Spencer

Taylor

Todd

Trigg

Trimble

Union

Warren

Washington

Wayne

Webster

Whitley

LOUISIANA

Acadia

Allen

Assumption

65
41

39

330

ble 78. — Number of Full-time Law Enforcement Employees, Rural Counties, October 31, 1983 — Continued

County by State

Total

Police

Employees

Total
Officers

Total
Civilians

County by State

Total

Police

Employees

Total
Officers

Total
Civilians

County by State

Total

Police

Employees

Total
Officers

Total
Civilians

.OUISIANA— Con.

/oyelles

Idwell

aibome

St Carrol!

st Feliciana . ..

■ant

:rville

:kson

Terson Davis

Salle

adison

^rehouse

tchitoches

iquemines

mt Landry

mt James

mt Mary

nsas

lion

rmilion

mon

ishington

:bster

»t Carroll

St Feliciana

MAINE

oostook

inklin

ncock

nnebec

lOX

icoln

ford

lobscott

cataquis

;adahoc

Tierset

Udo

ishington

Tk

MARYLAND

roline

irchester

.rrett

;nt

,nt Mary's

merset

Ibot

icomico

jrcester

MICHIGAN

cona

ger

legan

pena

itrim

enac

raga

34
18
18
16
17
34

125
23
43
26
18
34
44

103
97
67
92
17
22
63
49
54
37
14
22

34
18
17
16
17
34

125
23
43
26
18
34
43

100
97
65
92
16
22
63
39
54
23
13
22

30

12

25

14

23

17

20

10

50

34

15

6

18

16

24

22

23

16

MICHIGAN— Con.

Barry

Benzie

Branch

Cass

Charlevoix

Cheboygan

Chippewa

Clare

Crawford

Delta

Dickinson

Emmet

Gladwin

Gogebic

Grand Traverse

Gratiot

Hillsdale

Houghton

Huron

Ionia

Iosco

Iron

Isabella

Kalkaska

Keweenaw

Lake

Leelanau

Lenawee

Luce

Mackinac

Manistee

Marquette

Mason

Mecosta

Menominee

Missaukee

Montcalm

Montmorency

Newaygo

Oceana

Ogemaw

Ontonagon

Osceola

Oscoda

Otsego

Presque Isle

Roscommon

Saint Joseph

Sanilac

Schoolcraft

Shiawassee

Tuscola

Van Buren

Wexford

MINNESOTA

Aitkin

Becker

Beltrami

Big Stone

Blue Earth

Brown

11

6

28

15

20

12

7

3

37

19

13

9

10

MINNESOTA— Con.

Carlton

Cass

Chippewa

Clearwater

Cook

Cottonwood
Crow Wing

Dodge

Douglas

Faribault

Fillmore

Freeborn

Goodhue

Grant

Houston

Hubbard

Itasca

Jackson

Kanabec

Kandiyohi

Kittson

Koochiching

Lac Qui Parle

Lake

Lake-of-the- Woods . .

Le Sueur

Lincoln

Lyon

Mahnomen

Marshall

Martin

McLeod

Meeker

Mille Lacs

Morrison

Mower

Murray

Nicollet

Nobles

Norman

Otter Tail

Pennington

Pme

Pipestone

Polk

Pope

Red Lake

Redwood

Renville

Rice

Rock

Roseau

Sibley

Steele

Stevens

Swift

Todd

Traverse

Wabasha

Wadena

Waseca

Watonwan

Wilkin

Winona

Yellow Medicine ....

31

28

22

22

10

6

9

5

7

6

10

5

36

20

18

11

22

20

11

6

17

11

25

14

30

20

7

3

12

6

16

10

33

32

10

6

13

7

16

14

7

3

15

11

7

3

17

17

7

3

21

10

8

4

6

6

9

5

12

10

19

7

21

10

14

8

23

10

17

10

22

20

10

5

12

9

8

8

6

5

29

22

11

4

22

21

16

8

17

11

5

4

10

7

12

6

10

6

20

18

9

4

9

5

U

6

22

13

6

3

10

5

13

8

6

2

16

10

9

4

14

13

10

6

5

4

37

16

10

5

331

Table 78. — Number of Full-time Law Enforcement Employees, Rural Counties, October 31, 1983 — Continued

County by State

TotaJ

Police

Employees

Total
Officers

Total
Civilians

County by State

Total

Police

Employees

Total
Officers

Total
Civilians

County by State

Total
Police

Employees

Total
Officers

MISSISSIPPI

Benton

Bolivar

Carroll

Chickasaw

Claiborne

Clarke

Clay

Coahoma

Covington

Franklin

George

Greene

Holmes

Issaquena

Itawamba

Jasper

Jefferson Davis

Jones

Kemper

Lauderdale

Lawrence

Lee

Lincoln

Lowndes

Marshal

Monroe

Montgomery

Newton

Noxubee

Oktibbeha

Quitman

Simpson

Sunflower

Tippah

Union

Walthall

Warren

Washington

Wayne

Yalobusha

Yazoo

MISSOURI

Adair

Andrew

Atchison

Audrain

Barry

Barton

Bates

Benton

Bollinger

Caldwell

Camden

Cape Girardeau . .

Carroll

Cedar

Chariton

Clark

Cole

Crawford

Dade

Dallas

Daviess

De Kalb

Douglas

Dunklin

Gentry

1

3

4

4

9

1

22

3

4

25

1

R

71

■)

21

12

8

4

6

8

7

4

6

7

A

3

3

12

MISSOURI— Con.

Grundy

Holt

Howard

Iron

Johnson

Laclede

Lawrence

Lewis

Lincoln

Linn

Livingston

Madison

Maries

Marion

McDonald

Mississippi

Moniteau

Montgomery

Morgan

Nodaway

Oregon

Osage

Pemiscot

Perry

Pettis

Pike

Pulaski

Putnam

Randolph

Reynolds

Ripley

Saint Francois

Sainte Genevieve

Saline

Schuyler

Scotland

Scott

Shelby

Stoddard

Stone ,

Texas

Vernon

Warren

Webster

Worth

MONTANA

Beaverhead
Big Horn

Broadwater

Carbon

Chouteau

Custer

Dawson

Fallon

Flathead

Gallatin

Granite

HiU

Jefferson

Lake

Lewis and Clark

Liberty

Lincoln ,

Madison

McCone

Meagher

Missoula

MONTANA— Con.

Musselshell

Phillips

Pondera

Powder River .

Ravalli

Roosevelt

Rosebud

Sheridan

Stillwater

Sweet Grass....

Teton

Toole

Valley

Wheatland

NEBRASKA

Adams

Antelope

Boone

Box Butte...

Brown

Buffalo

Burt

Cass

Cedar

Chase

Cherry

Cheyenne....

Clay

Colfax

Cuming

Custer

Dawes

Dawson

Deuel

Dixon

Dodge

Dundy

Fillmore

Franklin

Frontier

Gage

Garden

Gosper

Hall

Hamilton ....

Harlan

Hitchcock ...

Holt

Howard

Jefferson

Johnson

Kearney

Keith

Keya Paha.-

Kimball

Knox

Lincoln

Logan

Madison

Merrick

Nance

Nemaha

Nuckolls

Otoe

Pawnee

Perkins

Phelps

332

Table 78. — Number of Full-time Law Enforcement Employees, Rural Counties, October 31, 1983 — Continued

County by State

Total

Police

Employees

Total
Officers

Total
Civilians

County by State

Total

Police

employees

Total
Officers

Total
Civilians

County by Stale

Total

Police

Employees

Total
Officers

Total
Civilians

NEBRASKA— Con.

Platte

Polk

Red Willow

Richardson

Saline

Saunders

Scotts Bluff.

Seward

Sheridan

Sherman

Thayer

Thomas

Valley

Wayne

Webster

York

NEVADA

Churchill

Douglas

Elko

Esmeralda

Eureka

Humboldt

Lander

Lincoln

Lyon

Mineral

Nye

Pershing

Storey

White Pine

NEW HAMPSHIRE

Belknap

Carroll

Cheshire

Grafton

Merrimack

NEW MEXICO

Catron

Cibola

Colfax

Curry

De Baca

Eddy

Grant

Guadalupe

Harding

Lea

Lincoln

Luna

Roosevelt

San Juan

San Miguel

Sandoval

Sierra

Socorro

Taos

Union

Valencia

3

4

9

5

7

6

9

U

4

2

45

22

11

H

1

25

23

21

2

29
II

2

24

15

7

1

26

5

9

8

7

5

11

6

2

1

13

6

NEW YORK

Allegany

Cattaraugus

Cayuga

Chautauqua

Chenango

Clinton

Columbia

Cortland

Delaware

Essex

Franklin

Fulton

Genesee

Jefferson

Lewis

Otsego

Saint Lawrence

Schoharie

Seneca

Steuben

Sullivan

Tompkins

Ulster

Wyoming

Yates

NORTH CAROLINA

Alleghany

Anson

Ashe

Avery

Beaufort

Bertie

Bladen

Brunswick

Caldwell

Camden

Carteret

Caswell

Chatham

Cherokee

Chowan

Clay

Cleveland

Columbus

Craven

Currituck

Dare

Duplin

Edgecombe

Gates

Graham

Granville

Greene

Halifax

Harnett

Haywood

Henderson

Hertford

Hoke

Hyde

IredeU

Jackson

16

NORTH CAROLINA-

COD.

Johnston

Jones

Lee

Lenoir

Macon

Martin

McDowell

Montgomey...

Moore

Nash

Northampton .

Pamlico

Pasquotank ....

Pender

Perquimans....

Person

Pitt

Polk

Richmond

Robeson

Rockingham...

Rutherford

Sampson

Scotland

Stanly

Surry

Swain

Transylvania ..

Tyrrell

Vance

Washington....

Watauga

Wayne

Wilkes

Wilson

NORTH DAKOTA

Adams

Barnes

Benson

Billings

Bowman

Burke

Cavalier

Dickey

Divide

Dunn

Eddy
Emmons

Foster

Golden Valley .

Grant

Griggs
Hettinger .
Kidder
La Moure

Logan

McHenry

Mcintosh

McKenzie

McLean

Mercer

Mountrail

27

21

9

6

36

25

39

26

15

14

19

10

31

23

25

16

48

30

38

25

22

9

9

5

13

11

16

12

6

4

24

18

56

40

15

11

31

24

75

52

68

57

38

28

45

33

30

25

34

29

51

32

10

7

27

22

8

4

31

22

8

8

25

24

43

37

39

33

34

31

5

4

10

10

4

5

2

3

5

3

2

4

2

4

2

4

3

4

2

2

2

2

2

2

9

9

23

19

19

9

10

10

333

Table 78. — Number of Full-time Law Enforcement Employees, Rural Counties, October 31, 1983 — Continued

County by State

Total

Police

Employees

Total
Officers

Total

Civilians

County by State

Total

Police

employees

Total
Officers

Total
Civilians

County by State

Total

Police

Employees

Total
Officers

NORTH DAKOTA— Con.

Nelson

Oliver

Pembina

Pierce

Ramsey

Ransom

Renville

Richland

Rolette

Sargent

Sheridan

Slope

Stark

Steele

Stutsman

Towner

Traill

Walsh

Ward

Wells

Williams

OHIO

Ashland

Ashtabula

Athens

Brown

Champaign

Columbiana

Coshocton

Crawford

Darke

Defiance

Erie

Fayette

GaUia

Hardin

Harrison

Henry

Highland

Hocking

Holmes

Huron

Jackson

Knox

Logan

Marion

Meigs

Mercer

Morgan

Morrow

Muskingum

Ottawa

Perry

Pike

Preble

Putnam

Ross

Sandusky

Scioto

Seneca

Shelby

Tuscarawas

Van Wert

Vinton

Wayne

OHIO— Con.

Williams

Wyandot

OKLAHOMA

Adair

Alfalfa

Atoka ,

Beaver

Beckham

Blaine ,

Bryan

Caddo

Carter

Cherokee

Choctaw

Cimarron

Coal

Cotton

Craig

Custer

Delaware

Dewey

Ellis

Garvin

Grady

Grant

Greer

Harmon

Harper

Haskell

Hughes

Jackson

Jefferson

Johnston

Kay

Kingfisher

Kiowa

Latimer

Lt Flore

Lincoln

Love

Major

Marshall

Ma^:es

McCurtain

Mcintosh

Murray

Muskogee

Noble

Nowata

Okfuskee

Okmulgee

Ottawa

Pawnee

Payne

Pittsburg

Pontotoc

Pushmataha

Roger Mills

Seminole ,

Stephens

Texas

Ti.Iman

Washington

Washita

10

OKLAHOMA— Con.

Woods

Woodward

OREGON

Baker :'

Benton

Clatsop

Columbia

Coos

Crook

Curry

Deschutes

Douglas

Gilliam

Grant

Harney

Hood River

Jefferson

Josephine

Klamath

Lake

Lincoln

Linn

Malheur

Morrow

Sherman

Tillamook

Umatilla

Union

Wallowa

Wasco

Wheeler

PENIMSYLVANIA

Clearfield

Jefferson

Tioga

Warren

SOUTH CAROLINA

Abbeville

Allendale

Bamberg

Barnwell

Beaufort

Calhoun

Cherokee

Chesterfield

Chester

Clarendon

Colleton

Darlington

Dillon

Edgefield

Fairfield

Georgetown

Greenwood

Hampton

Horry Police

Department

Jasper

Kershaw

334

Fable 78. — Number of Full-time Law Enforcement Employees, Rural Counties, October 31, 1983 — Continued

County by State

Total

Police

Employees

SOUTH CAROLINA— Coo.

Lancaster

Laurens

Lee

Marion

Marlboro

McCormick

Newberry

Oconee

Orangeburg

Saluda

Sumter

Union

Williamsburg

SOUTH DAKOTA

Aurora

Bon Homme

Brown

Brule

Buffalo

Campbell

Clark

Custer

Day

Deuel

Edmunds

Fall River

Grant

Haakon

Harding

Hughes

Hutchinson

Jerauld

Jones

Kingsbury

Lake

Lawrence

Lincoln

Lyman

Marshall :•..

Miner ,

Moody

Pennington

Potter

Spink

Sully

Tripp

Union

Yankton

Ziebach

TENNESSEE

Bedford

Benton

Bradley

Campbell

Cannon

Carroll

Chester

Claiborne j

Clay

Cocke

17

Total
Officers

Total
Civilians

County by State

Total
Police

Employees

TENNESSEE— Con.

Crockett ,

Cumberland .
De Kalb

Fayette

Fentress

Franklin

Gibson

Giles..

Greene

Grundy

Hamblen

Hardeman....

Hardin

Henderson .

Henry

Houston

Humphreys ..

Johnson

Lake

Lauderdale...

Lawrence

Lewis

Lincoln

Loudon

Madison

Maury

McMinn

Meigs

Monroe

Moore

Overton

Perry

Polk

Putnam.

Rhea

Roane

Smith

Stewart

Trousdale

Van Buren..

Warren

Weakley

White

TEXAS

Anderson ...

Andrews

Angelina

Aransas

Archer

Armstrong .
Atascosa ....

Austin

Bailey

Bandera

Bastrop

Baylor

Bee

Blanco

Borden

Bosque .......

Brewster

Briscoe

Brooks

14

24
16
16
11
18
25
U
32
10
32
17
16
15
27

9
14
16

6
13
25

4
13
17
34
33
31

1

4
15

6
27
31
21
28
12
14
11

6
28
14
15

Total
Officers

20

9
15
11
16
19

7
31

6
29
15
16
II
25

4

9
10

6
11
23

3

8

17
34
16
30

4
18

3
13

3

15
19
21
14

Total
Civilians

17

14

County by State

Total

Police

Employees

TEXAS— Con.

Brown

Burleson

Burnet

Caldwell

Calhoun

Callahan

Camp

Carson

Cass

Castro

Chambers

Cherokee

Childress

Clay

Cochran

Coke

Coleman

Collingsworth

Colorado

Comanche

Concho

Cooke

Cottle

Crane

Crockett

Crosby

Culberson

Dallam

Dawson

Deaf Smith

Delta

De Witt

Dickens

Dimmit

Donley

Duval

Eastland

Edwards

Erath

Falls

Fannin

Fayette

Fisher

Floyd

Foard

Franklin

Freestone

Frio

Gaines

Garza

Gillespie

Glasscock.....

Goliad

Gonzales

Gray

Grimes

Hale

Hall

Hamilton

Hansford

Hardeman

Hartley

Haskell

Hemphill

Henderson

20
9
34
18
8
14
II
5
5

12

14

6

2

21

4

8

9

12

11

8

9

21

7

8

5

14

Total
OfTicers

Total
Civilians

4

4

15

4

7

1

3

2

7

5

7

3

8

4

11

4

2

2

8

->

6

5

11

1

3

6

7

7

7

4

12

2

2

5

6

13

12

4

6

6

''4

3

3

6

4

5

4

2

6

3

2

3

6

4

5

18

13

L

335

Table 78. — Number of Full-time Law Enforcement Employees, Rural Counties, October 31, 1983 — Continued

County by State

Total

Police

Employees

Total
Officers

Total
Civilians

County by State

Total
Police

Employees

Total
Officers

Total
Civilians

County by State

Total

Police

Employees

Total
Officers

TEXAS— Con.

Hill

Hockley

Hood

Hopkins

Houston

Howard

Hudspeth

Hunt

Hutchinson

Irion

Jack

Jackson

Jasper

Jeff Davis

Jim Hogg

Jim Wells

Jones

Karnes

Kendall

Kenedy

Kent

Kerr

Kimble

King

Kinney

Kleberg

Knox

Lamar

Lamb

Lampasas

La Salle

Lavaca

Lee

Leon

Limestone

Lipscomb

Live Oak

Llano

Loving

Lynn

Madison

Marion

Martin

Mason.....

Matagorda

Maverick

McCullough

McMullen

Medina

Menard

Milam

Mills

Mitchell

Montague

Moore

Morris

Motley

Nacogdoches

Navarro

Newton

Nolan

Ochiltree

Oldham

Palo Pinto
Panola .
Parmer

Pecos

Polk

Presidio

13

28
23
25
10
16
13
27
28

2
12
14
1

6
17
26

9
11

7

4

3
20

7

9

24

5

26

11

9

12

12

12

6

13

5

16

21

1

7

11

10

8

2

35

14

5

I

20

9

II

5

9

10

16

12

2

21

25

11

12

17

10

22

13

11

20

23

9

14

10

TEXAS— Con.

Rains

Reagan

Real

Red River

Reeves

Refugio

Robertson

Roberts

Runnels

Rusk

Sabine

San Augustine

San Jacinto

San Saba

Schleicher

Scurry

Shackelford

Shelby

Sherman

Somervell

Starr

Stephens

Sterling

Stonewall

Sutton

Swisher

Terrell

Terry

Throckmorton

Titus

Trinity

Tyler

Upshur

Upton

Uvalde

Val Verde

Van Zandt

Walker

Ward

Washington

Wharton

Wheeler

Wilbarger

Willacy

Wilson

Winkler

Wood

Yoakum

Young

Zapata

Zavala

UTAH

Beaver

Box Elder.,

Cache

Carbon

Daggett

Duchesne...

Emery

Garfield

Grand

Iron

Juab

Kane

Millard

Morgan

Piute

II
12
2
10
32
17
9
5
9
18
9
7
12
6
8

10

9

14

9

11

30

7

5

6

12

7

5

II

5

22

10

15

14

12

17

29

15

28

22

10

30

9

9

17

17

13

27

13

8

23

11

6

5

3

2

11

11

5

5

10

5

14

7

5

10

7

9

20

9

6

17

11

13

9

10

20

10

5

4

4

5

10

7

11

6

12

1

13

14

8

5

8

18

5

10

1

UTAH— Con.

Rich

San Juan

Sanpete

Sevier

Summit

Todele

Uintah

Wasatch

Washington . .
Wayne

VIRGINIA

Accomack

Alleghany

Amelia

Augusta

Bath

Bedford

Bland

Brunswick

Buchanan

Buckingham

Caroline

Carroll

Charlotte

Clarke

Craig

Culpeper

Cumberland

Dickenson

Essex

Fauquier

Floyd

Franklin

Frederick

Giles

Grayson

Greensville

Halifax

Henry

Highland

Isle of Wight

Kmg and Queen ..

King William

King George

Lancaster ,

Lee

Louisa

Lunenburg

Madison,..-

Mathews ,

Mecklenburg

Middlesex

Montgomery

Nelson

Northampton

Northumberland ...

Noltoway

Orange

Patrick

Prince Edward .

Pulaski

Rappahannock ..

Richmond

Rockbridge

Rockmgham

19

11

29

27

10

6

66

59

12

11

42

42

9

9

19

16

42

33

12

7

31

25

34

26

16

12

22

12

7

3

28

25

9

6

26

19

11

U

40

33

12

12

44

35

48

28

24

24

23

18

21

19

34

25

84

74

8

5

18

13

4

3

17

II

15

10

22

19

32

32

27

22

5

5

12

7

12

7

44

19

10

5

51

48

15

15

18

14

18

13

13

12

20

20

26

24

24

20

22

22

47

35

6

5

14

11

25

19

49

23

336

Table 78. — Number of Full-time Law Enforcement Employees, Rural Counties, October 31, 1983 — Continued

County by State

Total
Police

Employees

VIRGINIA— Con.

Russell

Shenandoah

Smyth

Southampton

Spotsylvania

Suiry

Sussex

Tazewell . .
Warren

Westmoreland

Wise

Wythe

WASHINGTON

Adams

Asotin

Chelan

Clallam

Columbia

Cowlitz

Douglas

Ferry

Garfield

Grant

Gra>o Harbor

Island

Jefferson

Kittitas

Klickitat

Lewis

Lincoln

Mason

Okanogan

Pacific

Pend Oreille

San Juan

Skagit

Skamania

Stevens

Wahkiakum

Walla Walla

Whitman

WEST VIRGINIA

Barbour

Berkeley.

Boone

Braxton

Calhoun

Clay

Doddridge

Fayette

Gilmer

Grant

Greenbrier

Hampshire

Total
Officers

10

7
58
21

3
46
22
11

3
29
61
36
25
18
19
45
14
38
15
17

8
II
29
14
22

4
15
11

Total
Civilians

County by State

Total

Police

Employees

WEST VIRCINU— Con.

Hardy

Harrison

Jackson

JefFerson.......

Lewis

Lincoln

Logan

Marion

Mason

McDowell....

Mercer

Mingo

Monongalia..

Monroe

Morgan

Nicholas

Pendleton

Pleasants

Pocahontas...

Preston

Raleigh

Randolph

Ritchie

Roane

Summers

Taylor

Tucker

Tyler

Upshur

Webster

Wetzel

Wirt

Wyoming ....

WISCONSIN

Adams

Ashland

Barron

BufTalo

Burnett

Clark

Columbia

Crawford

Dodge

Door

Dunn .
Fond du Lac.

Forest

Grant

Green

Green Lake ....

Iowa

Iron

Jackson

lefFerson

Juneau

Kewaunee

9

44

16

25

18

20

37

40

21

50

39

31

17

9

5

23

4

10

11

30

51

13

10

8

4

1

9

II

19

13

15

3

21

26
16
23
10
18
29
35
22
55
24
22
56
13
34
35
13
15
8
19
65
29
18

Total
Officers

5

19

12

7

10

9

26

22

12

17

19

15

15

3

5

12

2

5

6

12

44

6

6

8

4

6

3

3

Total
Civilians

County by State

Total

Police

Employees

WISCONSIN— Con.

Langlade

Lincoln

Manitowoc

Marinette

Marquette

Menominee ...

Monroe

Oconto --

Pierce

Polk

Portage

Price

Richland

Rusk

Sauk

Sawyer

Shawano

Taylor

Trempealeau .

Vernon

Vilas

Walworth

Washburn

Waupaca

Waushara

Wood

WYOMING

Albany

Big Horn

Campbell

Carbon

Converse

Crook

Fremont

Goshen

Hot Springs

Johnson

Laramie

Lincoln

Niobrara

Park

Platte

Sheridan

Sublette

Sweetwater ...

Teton

Uinta

Washakie

Weston

OTHER AREAS

Guam
Puerto Rico

Total
Officers

Total
Civilians

15

15

24

21

64

53

35

28

16

16

12

12

26

25

26

14

24

24

25

13

50

42

14

13

26

25

15

15

51

41

17

15

29

29

14

13

28

24

15

14

28

28

18

82

12

7

24

24

21

21

47

40

44
16
60
32
27
12
56
10
12
14
80
30
5
32
15
23
12
53
34
41
9
7

504
11,231

41
12
39
24
20

6
28

6
11
10
60
14

4
23

7
12

7
31
30
22

462
9,649

337

SECTION VI

APPENDIX I

TABLE METHODOLOGY

Designed to assist the reader, this appendix explains the
construction of many tabular presentations in the book. The
following key refers to the columnar headings used
throughout the appendix.

Key: A) Column 1 shows the table numbers. Included
are Tables 1 through 67, Crime in the United
States-1983.

B) Column 2 indicates the level of submission
necessary for an agency's statistics to be
included in a table. There are three levels of
participation:

1. Agencies having reported data for all 12
months of the year.

2. Agencies having reported data for at
least one month but less than 12 months
of the year.

3. Nonreporting agencies.

The tabulations presented in the publication
employ statistics from one or more of the
above-listed participation levels. For example,
Table 1 includes all three agency reporting
levels, but Table 13 presents only data for
agencies having reported the entire year.

C) Column 3 explains how each table was
constructed. Data adjustments, if any, are
discussed along with various definitions of data
aggregation.

D) Column 4 contains general comments
regarding the potential use and misuse of the
statistics presented.

338

(2)
Data Base

All law enforcement agencies in the UCR Program
(including those submitting less than 12 months for

1983).

All law enforcement agencies in the UCR Program
(including those submitting less than 12 months).

All law enforcement agencies in the UCR Program
(including those submitting less than 12 months)

All Kw enforcement agencies in the UCR Program
(including those submitting less than 12 months for
1983).

(3)
Table Construction

All law enforcement agencies submitting complete
reports for 12 months in 1983.

All university/college law enforcement agencies sub-
mitting complete reports for 12 months in 1983

All law enforcement agencies submitting complete
reports for 12 months in 1983.

All law enforcement agencies submitting complete
reports for 12 months in 1983.

All law enforcement agencies submitting complete
reports for at least 6 common months in 1982 and
1983.

Statistics are aggregated from individual state statis-
tics as shown in Table 4. Crime statistics include
estimated offense totals for agencies submitting
less than 12 months of offense reports. Population
statistics represent July 1. 1983, Bureau of the
Census provisional estimates. The tabular break-
downs are in accordance with UCR crime defini-
tions (App. II) and population classifications
(App. III).

The 1983 statistics are consistent with Table 1, Crime
in the U. S. Pre- 1983 crime statistics may have been
updated, and hence, may not be consistent with
prior publications. Crime statistics include estimat-
ed offense totals for agencies submitting less than
12 months of offense reports for each year. Popula-
tion statistics represent July 1 provisional estima-
tions for each year except April 1, 1980. The
offense breakdowns are according to UCR crime
definitions (App. U). Crime volume statistics are
rounded to the nearest 10 for violent crime and the
nearest 100 for property crime.
The 1983 statistics are aggregated from individual
state statistics as shown in Table 4. Crime statistics
include estimated offense totals for agencies sub-
mitting less than 12 months of offense repwrts for
1982 and 1983. Population statistics represent July
1 provisional estimates for 1982 and 1983. The
offense breakdowns are according to UCR crime
definitions (App. II).

Crime statistics include estimated offense totals for
agencies submitting less than 12 months of offense
reports. Population statistics represent July I.
1983, Bureau of the Census provisional estimates.
Statistics under the heading "Area Actually Re-
porting" represent reported offense totals for
agencies submitting 12 months of offense reports
and estimated totals for agencies submitting less
than 12 but more than 2 months of offense
reports. The statistics under the heading "Esti-
mated Totals" represent the above plus estimated
offense totals for agencies having less than 3
months of offense reports. The tabular break-
downs are according to UCR definitions (App
II)

"Cities and Towns" are defined to be agencies in
Population Groups I through V (App. III). The
populations are July 1, 1983, estimates for each
agency.

The 1982 student enrollment figures, which are pro-
vided by the U.S. Department of Education, are
the most recent available. The totals include
adjustments to convert the number of part-time
students into full-time equivalents.

"Suburban Counties" are defined as the areas covered
by noncity agencies within an MSA (App. III).

"Rural Counties" are those outside MSAs and not
covered by city police agencies (App. III). Popu-
lation classifications of rural counties are based on
July 1, 1983, estimates for individual agencies.

The 1983 crime trend statistics are 2-year compari-
sons based on 1983 reported crime activity. Only
common reported months for individual agencies
are included in 1983 trend calculations. Popula-
tions represent July 1, 1983, estimates for individ
ual agencies. The tabular breakdowns are accord-
ing to UCR crime definitions (App. II) and
population classifications (App. III). Note that
"Suburban and Nonsuburban Cities" are all mu-
nicipal agencies other than core cities in MSAs.

(4)
General Comments

Represents an estimation of national reported
crime activity in 1983.

Represents an estimation of national reported
crime activity from 1974 to 1983.

Represents an estimation of reported crime
activity for Index offenses at the:

1. national level

2. regional level

3. division level

4. state level

Any comparison of UCR statistics should
take into consideration demographic differ-
ences.
Represents an estimation of reported crime
activity for Index offenses at the state level.
Any comparison of UCR statistics should
take into consideration demographic differ-
ences.

Represents reported crime activity of individual
agencies in cities and towns 10,000 and
over in population. Any comparison of
UCR statistics should take into consider-
ation demographic differences.
Represents reported crime for individual uni-
versity/college law enforcement agencies
hsted alphabetically by state. Totals are
supplied for violent and property crimes.
Any comparison of UCR statistics should
take into consideration demographic differ-
ences.
Represents crime reported to individual law
enforcement agencies in suburban counties.
Any comparison of UCR statistics should
take into consideration demographic differ-
ences.
Represents crime reported to individual rural
county law enforcement agencies covering
populations 25.000 and over. Any compari-
son of UCR statistics should take into
consideration demographic differences.
Slight decrease in national coverage for Table
12 due to editing procedure and lower
submission rate.

339

(1)

13-16

17, 18

19-22

23

24

25, 26

27, 28

29, 30

31-37

38, 39

40-44

45, 46

47-51

52, 53

(2)
Data Base

All law enforcement agencies submitting completi
reports for 12 months in 1983.

All law enforcement agencies submitting complete
reports for at least 6 months in 1983.

All law enforcement agencies submitting complete
reports for at least 6 months in 1983.

All law enforcement agencies m the UCR Program
(including those submitting less than 12 months for
1983).

(3)
Table Construction

All law enforcement agencies submitting complete
reports for 12 months in 1983.

All law enforcement agencies submitting reports for 12
months ni 1974 and 1983.

All law enforcement agencies submitting complete
reports for 12 months in 1979 and 1983.

.\11 law enforcement agencies submitting complete
reports for 12 months in 1982 and 1983.

All law enforcement agencies submitting complete
reports for 12 months in 1983.

All city law enforcement agencies submitting complete
reports for 12 months in 1982 and 1983.

All city law enforcement agencies submitting complete
reports for 12 months in 1983.

All suburban county law enforcement agencies submit-
ting complete reports for 12 months in 1982 and
1983.

All suburban county law enforcement agencies submit-
ting complete reports for 12 months in 1983.

All rural county law enforcement agencies submitting
complete reports for 12 months in 1982 and 1983.

The 1983 cnme rates are the ratios of the aggregated
1983 crime volumes and the aggregated 1983
populations of the contributing agencies. Popula
tion statistics represent July 1, 1983, estimates for
individual agencies. The tabular breakdowns are
according to UCR crime definitions (App. II) and
population classifications (App. III). Note that
"Suburban and Nonsuburban Cities" are all mu-
nicipal agencies other than core cities in MSAs.

Offense total and value lost total are computed for all
Inde.x offense categories other than aggravated
assault. Percent distribution is derived based on
offense total with each Index offense. Trend
statistics are derived based on agencies with at
least 6 common months complete for 1982 and
1983.

The 1983 clearance rates are based on offense and
clearance volume totals of the contributing agen-
cies for 1983. Population statistics represent July
1 estimates for individual agencies. The tabular
breakdowns are according to UCR crime defini-
tions (App. II) and population classifications
(App. III).

The arrest totals presented are national estimates
based on the arrest statistics of all law enforce-
ment agencies in the UCR Program (including
those submitting less than 12 months). The "Total
Estimated Arrests" statistic is the sum of estimat-
ed arresi volumes for each of the 29 offenses. Each
individual arrest total is the sum of the estimated
volumes within each of the eight population
groups (App. III). Each group's estimate is the
reporied volume (as shown in Table 24) divided
by the percent of total group population reporting
(according to July 1, 1983, estimates).

The 1983 arrest rates are the ratios, per 100,000
inhabitants, of the aggregated 1983 repwrted ar-
rest statistics and population. The population
statistics represent the July 1, 1983, estimates for
individual agencies. The tabular breakdowns are
according to UCR crime definitions (App. II) and
population classifications (.4pp. III).

The arrest trends are the percentage differences
between 1974 and 1983 arrest volumes aggregated
from all common agencies. Population statistics
represent July 1, 1983, estimates.

The arrest trends are the percentage differences
between 1979 and 1983 arrest volumes aggregated
from common agencies. Population statistics rep-
resent July 1, 1983, estimates.

The arrest trends are 2-year comparisons between
1982 and 1983 arrest volumes aggregated from
common agencies. Population statistics represent
July 1, 1983, estimates.

The 1983 city arrest trends represent the percentage
differences between 1982 and 1983 arrest volumes
aggregated from common city agencies. "City
Agencies" are defined to be all agencies within
Population Groups I-VI (App. III).

"City Agencies" are defined as agencies within Popu
lation Groups I-VI (App. III).

1983 suburban county trends represent percentage
differences between 1982 and 1983 volumes aggre-
gated from contributing agencies. "Suburban
Counties" are defined as the areas covered by
noncity agencies within an MSA (App. III).

"Suburban Counties" are defined as the areas covered
by noncity agencies within an MSA (App. III).

1983 rural county trends represent percentage differ-
ences between 1982 and 1983 volumes aggregated
from contributing agencies. "Rural Counties" are
defined as noncity agencies outside MSAs (App.
III).

(4)
General Comments

Slight decrease in national coverage for Table
16 due to editing procedure and lower
submission rate.

Aggravated assault is excluded from Table 17.
For UCR Program purposes, the taking of
money or property in connection with an
assault is reported as a robbery.

Slight decrease in coverage for Tables 36 and 37
due to editing procedure and lower submis-
sion of race and ethnic origin data.

Slight decrease in coverage for Tables 43 and 44
due to editing procedure and lower submis-
sion of race and ethnic origin data.

Shght decrease in coverage for Tables 50 and 51
due to editing procedure and lower submis-
sion rate-

340

(1)

(2)
Data Base

54-58 All rural county law enforcement agencies submitting

complete reports for 12 months in 1983.

59, 60 All suburban area law enforcement agencies submitting

complete reports for 12 months in 1982 and 1983

61-65 All suburban area law enforcement agencies submitting

complete reports for 12 months in 1983.

66 All law enforcement agencies submitting complete

reports for 12 months in 1983.

67 All law enforcement agencies submitting complete

reports for 12 months in 1983.

(3)
Table Construction

"Rural Counties" are defined as noncity agencies
outside MSAs (App. III).

1983 suburban area arrest trends represent percentage
differences between 1982 and 1983 arrest volumes
aggregated from contributing agencies. "Suburban
Area" is defined as all counties and cities with
fewer than 50,000 inhabitants within MSAs (App.
III).

"Suburban Area" is defined as counties and cities with
fewer than 50,000 inhabitants within MSAs (App.
III).

Arrest totals are aggregated for individual agencies
within each state. Population figures represent July
1 provisional estimates for 1983. The tabular
breakdowns are according to UCR crime defini-
tions (App. II).

Population statistics represent July 1, 1983. estimates
for individual agencies. See Appendix III for
definitions of the population classifications present
ed.

(4)
General Comments

Slight decrease in coverage for Tables 57 and 58
due to editing procedure and lower submis-
sion of race and ethnic origin data.

Slight decrease in coverage for Tables 64 and 65
due to editing procedure and lower submis-
sion of race and ethnic origin data.

Any comparison of statistics should take mto
consideration variances in arrest practices,
particularly for Part II crimes.

Data furnished are based upon individual state
age definitions for juveniles.

341

APPENDIX II
OFFENSES IN UNIFORM CRIME REPORTING

Offenses in Uniform Crime Reporting are divided into
two groupings. Part I and Part II. Information on the
number of Part I offenses known to law enforcement, the
number cleared by arrest or exceptional means, and the
number of persons arrested is reported monthly. Only arrest
data are reported for Part II offenses.

The Part I offenses are as follows:

Criminal Homicide.- a. Murder and nonnegligent
manslaughter: the willful (nonnegligent) killing of one
human being by another. Deaths caused by negligence,
attempts to kill, assaults to kill, suicides, accidental deaths,
and justifiable homicides are excluded. Justifiable homicides
are limited to: (1) the kilHng of a felon by a law enforcement
officer in the line of duty; and (2) the killing of a felon by a
private citizen, b. Manslaughter by negligence: the killing of
another person through gross negligence. Traffic fatalities
are excluded. While manslaughter by negligence is a Fart I
crime, it is not included in the Crime Index.

Forcible rape.- The carnal knowledge of a female forcibly
and against her will. Included are rapes by force and
attempts or assaults to rape. Statutory offenses (no force
used- victim under age of consent) are excluded.

Robbery.- 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
putting the victim in fear.

Aggravated assault.- An unlawful attack by one person
upon another for the purpose of inflicting severe or
aggravated bodily injury. This type of assault usually is
accompanied by the use of a weapon or by means likely to
produce death or great bodily harm. Simple assaults are
excluded.

Burglary-breaking or entering.- The unlawful entry of a
structure to commit a felony or a theft. Attempted forcible
entry is included.

Larceny-theft (except motor vehicle theft).- The unlawful
taking, carrying, leading, or riding away of property from
the possession or constructive possession of another.
Examples are thefts of bicycles or automobile accessories,
shoplifting, pocket-picking, or the stealing of any property
or article which is not taken by force and violence or by
fraud. Attempted larcenies are included. Embezzlement,
"con" games, forgery, worthless checks, etc., are excluded.

Motor vehicle theft.- The theft or attempted theft of a
motor vehicle. A motor vehicle is self-propelled and runs on
the surface and not on rails. Specifically excluded from this
category are motorboats, construction equipment, airplanes,
and farming equipment.

Arson.- Any willful or malicious burning or attempt to
bum, with or without intent to defraud, a dwelling house,
public building, motor vehicle or aircraft, personal property
of another, etc.

The Part II offenses are:

Other assaults (simple).- Assaults and attempted assaults
where no weapon was used and which did not result in
serious or aggravated injury to the victim.

Forgery and counterfeiting.- Making, altering, uttering,
or possessing, with intent to defraud, anything false which is
made to appear true. Attempts are included.

Fraud.- Fraudulent conversion and obtaining money or
property by false pretenses. Included are larceny by bailee
and bad checks, except forgeries and counterfeiting.

Embezzlement.- Misappropriation or misapplication of
money or property entrusted to one's care, custody, or
control.

Stolen property; buying, receiving, possessing.- Buying,
receiving, and possessing stolen property, including
attempts.

Vandalism.- Willful or malicious destruction, injury,
disfigurement, or defacement of any public or private
property, real or personal, without consent of the owner or
persons having custody or control.

Weapons; carrying, possessing, etc.- All violations of
regulations or statutes controlling the carrying, using,
possessing, furnishing, and manufacturing of deadly
weapons or silencers. Included are attempts.

Prostitution and commercialized vice.- Sex offenses of a
commercialized nature, such as prostitution, keeping a
bawdy house, procuring, or transporting women for
immoral purposes. Attempts are included.

Sex offenses (except forcible rape, prostitution, and
commercialized vice). - Statutory rape and offenses against
chastity, common decency, morals, and the like. Attempts
are included.

Drug abuse violations.- State and local offenses relating
to narcotic drugs, such as unlawful possession, sale, use,
growing, and manufacturing of narcotic drugs.

Gambling.- Promoting, permitting, or engaging in illegal
gambling.

Offenses against the family and children.- Nonsupport,
neglect, desertion, or abuse of family and children.

Driving under the influence.- Driving or operating any
vehicle ri common carrier while drunk or under the
influence of liquor or narcotics.

342

Liquor laws.- State or local liquor law violations, except All other offenses.- All violations of state or local laws,

'drunkenness" and "driving under the influence". Federal except those listed above and traffic offenses,
violations are excluded. Suspicion.- No specific offense; suspect released without

formal charges being placed.

Drunkenness.- Offenses relating to drunkenness or Curfew and loitering laws.- Offenses relating to violations

ntoxication. Excluded is "driving under the influence". ^^ j^^^j ^^^^^ ^^ loitering ordinances where such laws

exist
Disorderly conduct.- Breach of the peace.

Runaways.- Limited to juveniles taken into protective

Vagrancy.- Vagabondage, begging, loitering, etc. custody under provisions of local statutes.

343

APPENDIX III
UNIFORM CRIME REPORTING AREA DEFINITIONS

Community Types

Uniform Crime Reporting data are often presented using
three community-type aggregations. These are MetropoHtan
Statistical Areas (MSAs), other cities, and rural counties.

Formerly known as Standard Metropolitan Statistical
Areas, MSAs are statistical constructs used to define
metropolitan areas in a uniform manner. Each is an
integrated economic and social unit with a recognized large
population nucleus. The MSA concept was developed to
facilitate the analysis and dissemination of statistical
information on metropolitan areas. The primary objective in
establishing standard definitions of these areas was to make
it possible for Federal agencies to utilize the same
boundaries when publishing statistical data. Detailed
criteria followed in establishing and defining MSAs can be
found in the U. S. Department of Commerce publication.
Metropolitan Statistical Areas, 1983 edition.

An MSA includes a central city of at least 50,000
population or an urbanized area of at least 50,000 with a
total metropolitan population of at least 100,000. In
addition to the county containing the central city, an MSA
may also include contiguous counties having strong
economic and social relationships to the central city and
county. An MSA may cross state lines.

New England MSAs are composed of cities and towns
instead of counties. In this publication's tabular
presentations, New England cities and towns are assigned to
the proper MSA. However, some counties have both
suburban and rural portions. Data for state police and
sheriffs in those jurisdictions are included in statistics for
the rural area.

MSAs made up approximately 76 percent of the total
United States population in 1983. Some presentations in this
book refer to "suburban area." A suburban area includes
cities with less than 50,000 inhabitants in addition to
counties (unincorporated areas) within the MSA. The
central cities are, of course, excluded.

"Other cities," most of which are incorporated, are those
outside MSAs. They comprised 10 percent of the 1983
population of the United States.

Rural counties, which are those outside MSAs, comprised
14 percent of the 1983 national population. Their
population figures exclude areas covered by city police
agencies.

The following diagram illustrates the aforementioned
discussion of the community types.

MSA

NON-MSA

CITIES

CORE CITIES
OVER 50.000

OTHER
CITIES

SUBURBAN
CITIES

COUNTIES

(unincorporated area)

SUBURBAN
COUNTIES

RURAL
COUNTIES

Population Groups

The population group classifications
Program are as follows:

Population Group

I

II z.

Ill

IV

V

VI '

VIII (Rural County)

IX (Suburban County)

Political
Label

City

City

City

City

City

City

County

County

used by the UCR

Population

Range

250,000 and over

100,000 to 249,999

50,000 to 99,999

25,000 to 49,999

10,000 to 24,999

Less than 10,000

N/A

N/A

The major source of UCR data is the individual law
enforcement agency. The number of agencies included in
each population group will vary slightly from year to year
due to population growth, geopolitical consolidation,
municipal incorporation, etc. The following table shows the
number of UCR contributing agencies within each
population group for 1983.

Population
Group

I

II

III

IV

V

VI

VIII (Rural County)

IX (Suburban County)

Total

Number of

Population

Agencies

Covered

59

43,147,000

120

17,607,000

302

20,649,000

645

22,182,000

1,657

25,943,000

7,723

25,110,000

3,627

33,724,000

1,629

45,619,000

15,762

233,980,000'

'Due to rounding, the population covered does not add to total.
Regions and Divisions

Geographically, the United States is comprised of four
regions: the Northeastern States, the North Central States,
the Southern States, and the Western States. These regions
are further divided into nine divisions. The following table
delineates the regional, divisional, and state configuration of
the country.

344

NORTHEASTERN STATES

SOUTHERN STATES

*Jew England
Connecticut
Maine

Massachusetts
New Hampshire
Rhode Island
Vermont

Middle Atlantic
New Jersey
New York
Pennsylvania

NORTH CENTRAL STATES

South Atlantic*
Delaware
Florida
Georgia
Maryland
North Carolina
South Carolina
Virginia
West Virginia

East North Central
Illinois
Indiana
Michigan
Ohio
Wisconsin

West North Central
Iowa
Kansas
Minnesota
Missouri
Nebraska
North Dakota
South Dakota

East South Central

Alabama

Kentucky

Mississippi

Tennessee
West South Central

Arkansas

Louisiana

Oklahoma

Texas

♦Includes District of Columbia.

WESTERN STATES

Mountain

Pacific

Arizona

Alaska

Colorado

California

Idaho

Hawaii

Montana

Oregon

Nevada

Washington

New Mexico

Utah

Wyoming

345

APPENDIX IV
AGE-SPECIFIC ARREST RATES BY SEX

This appendix presents age-specific arrest rates by sex for
the Crime Index offenses of murder, forcible rape, robbery,
aggravated assault, burglary, larceny-theft, motor vehicle
theft, and arson. Rates for violent crime, property crime,
and Crime Index offense totals are also included. An age-
specific arrest rate refers to the number of arrests per
100,000 inhabitants belonging to a prescribed age group.
Using UCR data based on reports from agencies supplying
figures for complete 12-month periods, age-specific arrest
rates for males and females were computed for the years

1974, 1979, and 1983. These time periods were selected in
order to provide both 5- and 10-year comparisons. A review
of the appendix tables reveals that individual offenses have
different involvement patterns in terms of age and sex. It
will be noted that, generally, property crime arrests peak at
earlier ages than do those for violent crimes. The tables also
show that peak ages of arrest for certain offenses may shift
over time.

The following graph illustrates the distribution of 1983
age-specific arrest rates for violent crime offenses.

AGE-SPECIFIC VIOLENT CRIME
ARREST RATES, 1983

MALE
FEMALE

1000-

f

\

750-

/

\

\

500-

/

\

\

250-

1

\

\

\

1 /

1 /

''

-..'"

V

^

0-

1C

15

20

25

3(

) 3;

4C

45

5(

55

6(

65

7(1

75

- 1.250

- 1,000

750

500

250

AGE

346

)tal Crime Index, Age-Specific Arrest Rates by Sex, United States

1974

1979

1983

Age Group

Total

Male

Female

Total

Male

Female

Total

Male

Female

2 and under

3-14

5

6

7

8

345.46
3,410.95
4,970.63
5,243.67
4,768.63
4,248.79

550.97
5,274.13
7,992.47
8,605.13
7,876.14
6,974.22

131.26
1,474.55
1,834.95
1,758.36
1,548.76
1,473.53

266.23
3,009.24
4,472.32
4,955.61
4,826.30
4,211.37

422.13
4,667.14
7.135.42
8,087.57
8,016.24
6,993.09

103.23
1,283.90
1,686.09
1,707.91
1,521.63
1,347.62

252.64
2,607.84
3,899.95
4,267.92
4,336.57
3,922.01

399.62
4,008.31
6,131.07
6,894.04
7.140.84
6,482.02

98.72
1,143.80
1,572.82
1,537.64
1,412.42
1,268.50

9
.0
,1

.2

:3
'4

3.296.00

2,745.45
2,455.17
2,268.12
2,090.55
1,914.61

5,399.37
4,445.64
3,967.85
3,705.14
3,432.47
3,134.12

1,181.34
1,037.69
942.49
844.27
766.70
718.91

3.345.22
2,774.33
2,462.41
2,217.85
2,023.05
1,798.39

5,544.94
4,541.46
4,022.21
3,595.65
3,259.84
2,878.05

1,106.12
990.12
889.45
840.06
795.28
725.04

3,392.74
2,929.10
2,517.44
2,330.77
2,136.29
1,976.05

5,567.20
4,737.94
4.237.19
3,750.05
3,417.61
3,133.97

1,150.48
1,070.61
972.28
897.86
842.54
809.63

15-29
10-34
15-39
(0-44
15-49
iO-54

1,313.20
848.47
638.01
462.02
330.04
234.40

2,138.98

1,367.33

1,017.60

730.63

517.73

361.54

500.97
345.64
276.11
204.35
154.19
117.13

1,392.25
903.41
661.15
502.90
377.91
284.12

2,219.42

1,426.79

1,029.45

767.66

564.85

414.88

575.16
392.05
305.85
249.13
201.44
163.64

1,644.30
1,165.07
786.36
591.30
439.63
331.07

2,600.19

1,848.27

1,236.01

909.70

663.49

492.09

690.49
492.90
349.32
285.29
227.39
181.68

i5-59
iO-64

161.19
119.63

57.58

24563
178.82
98.01

84.93
68.21
29.51

197.44
143.46
72.40

288.62
204.49
116.99

115.79
90.81
42.18

232.67
165.89
79.40

342.43
242.11
127.19

134.74
100.30

47.35

Age-Speciflc Arrest Rate: Number of total Crime Index arrests per 10U,tX)U mnabitants belonging

to a prescribed age group.

iolent Crime, Age-Specific Arrest Rates by Sex, United States

Age Group

12 and under

13-14

15

16

17

18

19
20
21
22
23
24

25-29
30-34
35-39
40-44
45-49
50-54

55-59
60-64
65 and over

Total

1974

Male

18.49

31.39

262.91

440.23

489.11

852.99

645.69

1,160.16

696.13

1,267.25

760.40

1,390.83

596.39

1,271.31

642.17

1,175.51

633.08

1,154.49

628.49

1,151.13

608.05

1,109.10

576.89

1,051.29

429.55

780.81

306.17

548.52

237.58

420.64

170.47

30173

116.85

208.61

77.58

142.30

48.99

91.72

35.27

68.07

14.71

32.63

Female

5.04
78.63
111.53
112.26
104.45
118.45

118.38
106.44
111.58
110.85
113.84
111.74

84.05
71.29
63.05
44.57
30.90
17.90

10.39
6.78
2.27

Total

14.84
262.39
473.55
619.38
709.88
743.19

677.21
644.51
628.41
505.12
570.89
523.16

420.30
292.38
221.21
168.78
119.12
79.44

51.75
32.42
13.79

1979

Male

26.11

444.71

823.09

1,102.59

1,287.57

1.342.50

1,225.05
1,166.67
1,140.19
1,094.06
1,029.57
941.21

757.66
528.28
395.48
302.00
215.47
146.84

98.04
63.25
30.88

Female

3.06
72.65
107.85
118.25
111.33
126.12

119.55

117.31
112.30
118.18
115.55
107.54

87.05
61.89
52.13
41.09
28.16
17.35

10.31
5.83
2.20

Total

1983

Male

15.42

25.88

235.53

400.17

453.87

783.08

587.21

1,037.07

666.78

1,196.12

585.26

1,231.27

663.58

1,183.65

639.83

1,138.44

618.44

1,102.83

585.75

1,045.18

556.04

986.95

524.37

929.82

442.89

785.05

317.32

567.58

226.53

407.11

168.48

302.53

119.55

214.84

80.35

148.72

51.28

97.11

33.84

56.02

12.51

28.13

Female

3.42
65.47
110.50
119.52
114.82
119.31

127.49
127.53
125.45
121.83
120.88
115.94

101.48
71.09
51.02
39.65
29.20
16.93

10.40
6.16
2.04

Age-Specific Arrest Rate: Number of violent
Violent cnme includes, murder, forcible rape

crime arrests per 100,000 inhabitants
, robbery, and aggravated assault.

belonging to a prescribed age group.

347

Property Crime, Age-Speciflc Arrest Rates by Sex, United States

Age Group

1974

1979

1983

Total

Male

Female

Total

Male

Female

Total

Male

Female

12 and under

13-14

15

16

17

18

326.97

519.58

126.22

251.38

396.02

100.17

231.02

361.58

94.30

3,148.04

4,833.89

1,395.92

2,74686

4,222.43

1,211.26

2,343.49

3,560.24

1,071.52

4,481.52

7,139.48

1,723.42

3,998.77

6,312.33

1,578.24

3,417.82

5,298.68

1,456.03

4,597.98

7,444.97

1,646.11

4,33622

6,984.98

1,589.66

3,656.28

5,813.50

1,413.50

4,072.50

6,608.89

1,444.31

4,116.42

6,728.67

1,410.30

3,647.67

5,905.40

1,293.43

3,488.38

5,583.39

1,355.08

3,468.18

5,650.59

1,221.50

3,216.45

5,214.68

1,145.23

19
20
21
22
23
24

2,599.61

4,128.06

1,062.97

2,668.01

4,319.89

986.56

2,709.32

4.347.92

1,019.64

2,103.28

3,270.12

931.24

2,129.82

3,374.79

872.81

2.272.35

3,569.50

939.60

1,822.09

2,813.36

830.81

1,834.00

2,882.02

777.14

1,981.65

3,104.29

841.39

1,639.63

2,554.28

733.42

1,611.74

2,501.59

721.88

1,730.02

2,678.64

772.35

1,482.50

2,323.37

652.86

1,452.16

2,230.27

679.73

1,566.39

2,406.49

718.22

1,337.73

2,082.83

607.16

1.275.24

1,936.84

617.50

1,439.52

2,183.73

689.83

25-29
30-34

883.65

1,358.17

416.92

971.95

1,461.77

488.10

1.189.40

1,794.38

585.74

542.30

818.80

274.35

611.03

898.50

330.16

839.00

1,265.92

418.98

35-39

400.43

596.97

213.06

439.94

632.97

253.72

552.31

816.30

295.72

40-44

291.55

428.90

159.79

334.12

465.66

208.04

416.33

596.05

243.59

45-49

213.18

309.12

123.29

258.79

349.38

173.28

315.58

441.01

196.66

50-54

156.81

219.24

99.23

204.67

268.04

146.30

247.25

336.92

164.05

55-59

112.20

153.92

74.53

145.69

190.58

105.48

179.47

241.99

123.70

60-64

84.36

110.75

61.42

111.04

141.25

84.98

130.82

173.77

93.86

65 and over

42.86

65.38

27.23

58.61

86.11

39.98

6650

98.25

45.21

Age-Specific Arrest Rate: Numb

er of property

crime arrests per

100,000 inhabitants beloneing to

a prescribed

age group.

Property crime includes burglary

, larceny-theft.

motor vehicle theft, and arson

348

Age Group

Total

1974
Male

Female

Total

1979
Male

Female

Total

1983
Male

Female

and under

14

0.13
3.13
10.01
15.56
19.79
27.87

0.22
5.44
17.91
28.67
35.57
45.49

0.04
0.74
1.82
1.96
3.44
6.88

0.09
2.58
7.95
15.61
18.19
23.86

0.14
4.24
13.66
27.99
32.60
42.62

0.05
0.84
1.98
2.77
3.26
4.55

0.07
2.04
6.91
12.77
17.82
25.39

0.11

3.24
11.99
22.80
31.64

45.42

0.03
0.77
1.61
2.34
3.41
4.61

30.83
27.82
29.14
30.83
29.04
30.85

54.68
49.09
50.35
54.96
51.69
52.99

6.86
6.45
7.93
6.92
6.70
9.15

23.95
24.57
24.55
25.22
25.27
23.40

43.01
43.74
43.00
44.97
45.70
40.02

4.54
5.23
5.95
5.46
4.99
6.89

25.95
24.06
23.79
24.06
22.89
21.72

46.15
42.61
42.25
42.17
40.47
37.69

5.11
5.00
5.04
5.77
5.14
5.62

-2'*

-44
-49
1-54

1-59
1-64

25.23
18.81
15.36
11.11
8.72
5.99

4.42
3.52
1 73

43.41
31.60
25.26
17.98
14.22
10.12

8.00
6.66

3.78

7.34
6.41
5.93
4.52
3.57
2.19

1.18
0.79
0.32

19.88

15.07

11.81

9.84

7.37

5.64

3.57
2.57
1.36

34.63
25.71
19.76
16.32
12.33
10.01

6.54
4.60
3.01

5.32
4.68
4.15
3.63
2.69
1.62

0.92
0.83
0.24

19.48

15.68

11.38

8.92

6.95

4.85

3.49
2.05
1.00

33.87
26.59
19.16
15.18
11.50
8.54

6.25
3.89
2.25

5.12
4.94
3.80
2.92
2.64
1.43

1.02
0.46
0.16

— ,*. r^r innfV

in inhnhit»ntR be

ontrine to a pres

cribed age grou

P

trdble Rape, Age-Specific Arrest Rates by Sex, United States

Age Group

1974

Total

Male

Female*

2 and under

3-14

5

6

7

Ig

'9
•0
1

.2

.3

1^.4

5-29

'j 10-34

j(5-39

1)0-44
\ »5-49

150-54

55-59
j 60-64
65 and over

0.55
12.09
24.59
34.53
44.50
49.54

46.13
44.60
44.36
42.60
41.08
38.23

30.53

19.98

13.32

7.59

4.68

2.67

1.37
0.80
0.33

1.03
23.11
47.01
67.49
86.52
97.62

91.44
88.29
87.65
84.67
81.99
76.89

61.25
40.39
27.05
15.42
9.67
5.52

2.88
1.72
0.81

Total

1979
Male

0.66
12.58
24.97
33.40
39.03
47.81

44.75
46.30
44.95
45.83
43.48
40.35

31.70
21.96
15.89
10.50
6.27
4.02

2.18
1.40
0.60

Female*

1.29
24.14
48.39
64.51
76.02
93.34

87.78
91.43
89.07
90.80
86.97
80.46

63.43
44.13
32.16
21.35
12.87
8.38

4.62
3.02
1.48

l''g"rp:;L'°^rrr''R"eTu''r„tr of forcb.e rape arrests pe, ICXJ.CXX) ,nhab,ta„.s be.o„g,ng to

a prescribed age group

Total

0.89
15.68
27.99
32.76
36.29
40.90

40.09
42.91
43.65
42.35
40.62
38.76

31.89
23.17
17.50
11.93
7.43
5.03

3.30
2.04
0.62

1983

Male

Female*

1.71
30.19
54,45
63.52
70.42
79.61

77.93
83.70
85.75
83.66
80.36
76.34

63.23
46.22
35.17
24.14
15.19
1041

7.00
4.36
1.51

349

Robbery, Age-Specific Arrest Rates by Sex, United States

Age Group

12 and under

13-14

15

16

17

18

19
20
21
22
23
24

25-29
30-34
35-39
40-44
45-49
50-54

55-59
60-64
65 and over

Total

8.83
141.69
267.36
342.10
360.31
376.63

330.16
281.73
263.94
248.62
233.82
207.17

128.09
64.76
36.60
20.96
11.48
5.47

2.78
1.34
1.22

1974

Male

15.82
249.60
485.22
633.23
670.31
701.35

613.90
524.59
492.34
466.08
436.19
387.81

241.22
122.84
69.77
40.36
22.18
10.52

5.35
2.67
2.80

Female

1.54
29.53
41.30
40.25
39.14
45.98

44.89
37.78
35.55
33.25
34.23
30.06

16.83
8.48
4.97
2.35
1.46
0.80

0.46
0.18
0.11

Total

6.11
132.51
238.66
297.27
323.75
313.12

262.17
228.13
209.59
186.03
169.88
150.55

106.91
57.04
32.34
19.02
11.43
5.61

3.79
1.66
0.80

1979

Male

11.11
236.34
432.67
547.57
602.52
575.87

485.10
422.68
387.48
340.84
312.01
276.07

196.48
106.41
61.28
36.16
2i.97
10.99

7.63
3.37
1.89

Female

Age-Specific Arrest Rate: Number of robbery arrests per 100,000 inhabitants belonging lo a prescnbed age group

0.88
24.44
35.67
37.66
34.90
42.58

35.26
31.69
30.21
31.23
28.80
25.77

18.43
8.79
4.41
2.59
1.48
0.66

0.36
0.18
0.06

Total

1983

Male

5.82

10.65

110.36

197.86

222.44

405.87

289.41

532.57

313.75

581.36

302.39

560.05

268.88

497.63

238.05

435.53

214.91

395.45

188.27

344.78

169.80

310.02

155.83

284.37

117.42

213.80

71.48

132.77

36.80

68.71

19.83

37.67

12.37

23.15

6.65

13.25

3.73

7.39

2.32

4.86

0.66

1.54

18.88
31.10
36.60
34.70
35.31

32.99
35.14
31.54
30.22
28.18
26.35

21.25
11.17
5.78
2.69
2.15
0.52

0.46
0.14
0.06

Aggravated Assault, Age-Specific Arrest Rates by Sex, United States

Age Group

12 and under

13-14

15

16

17

18

19
20
21
22
23
24

25-29
30-34
35-39
40-44
45-49
50-54

55-59
60-64
65 and over

Total

8.98
106.01
187.15
253.50
271.54
306.36

289.27
288.02
295.64
306.44
304.11
300.63

245.69
202.62
172.30
130.81
91.97
63.45

40.42
29.62
11.43

1974

Male

14.33
162.08
302.85
430.77
474.86
543.36

511.30
513.55
524.15
545.42
539.23
533.60

434.93
353.69
298.56
227.97
162.53
116.15

75.49
57.01
25.24

Female

3.41
47.72
67.09
69.70
60.89
65.02

66.05
61.49
67.13
69.73
72.18
72.21

59.56
56.21

51.93
37.62
25.86
14.86

8.76
5.81
1.85

Total

7.97
114.72
201.97
273.11
328.91
358.40

346.34
345.52
349.31
349.04
332.26
308.85

261.80
198.31
161.18
129.42
91.57
64.17

42.21
26.79
11.03

1979

Male

13.56
179.98
328.38
462.52
576.43
630.68

609.17
608.82
620.64
617.45
584.89
544.67

463.12
352.03
283.28
228.17
168.30
117.46

79.25
52.27
24.50

Female

2.12
46.81
69.72
76.69
72.47
78.07

78.81
79.67
75.69
80.62
81.47
74.40

62.95
48.11
43.38
34.76
23.95
15.07

9.03
4.82
1.90

Age-Specific Arrest Rate: Number of aggravated assault arrests per 100,000 inhabitants belonging to a prescnbed age group.

Total

8.63
108.46
196.54
252.27
298.93
316.59

328.76
334.81
336.09
331.08
322.73
308.06

274.09
206.99
160.85
127.79
92.79
63.82

40.77
27.43
10.24

1983

Male

Female

14.41

2.58

168.88

45.31

310.77

77.39

418.17

79.79

512.69

76.02

546.18

78.61

561.95

88.31

576.60

86.39

579.39

88.98

574.57

85.21

556.09

87.08

531.42

83.06

474.14

74.49

362.01

54.48

284.06

41.10

225.55

33.83

165.00

24.33

116.52

14.93

76.46

8.92

52.91

5.51

22.84

1.79

350

jglary, Age-Specific Arrest Rates by Sex, United States

1974

Age Group

I and under

5-14

5

5
7
8

9
0
1

2
3
A

:5-29
iO-34
5-.19
KM4
^5-49
0-54

)5-59
iO-64

5 and over
Age-Specific

Total

92.92
930.79
1,369.05
1,468.72
1,301.19
1,137.86

840.93
662.57
557.64
489.34
448.78
397.35

243.69
132.20
84.42
52.50
31.25
17.79

9.72
5.00
2.34

Male

168.80
1,716.40
2.556.54
2,762.25
2,455.71
2,150.35

1,596.68

1.255.28

1,049.59

928.26

855.33

753.04

460.62
250.64
160.26
100.38
60.12
34.76

18.91
9.97
5.25

Female

13.84
114.30
136.83
127.54
105.15
106.87

81.13
67.22
65.68
54.64
47.80
48.60

30.33

17.43

12.10

6.57

4.19

2.14

1.42
0.68
0.33

Total

69.78
829.54
1,291.27
1,380.98
1,306.49
1,093.98

830.94
631.79
531.13
451.23
395.91
338.95

235.14
127.56
78.93
49.39
33.06
19.22

11.32
6.13
2.17

1979

Male

124.06
1,502.19
2,362.52
2,560.46
2,433.03
2,052.04

1,565.26
1,190.31
995.13
845.75
745.56
634.92

440.18

239.02

147.86

92.53

62.04

35.96

21.78
11.54

4.87

Female

13.02
129.52
170.49
157.69
139.24
107.51

83.46
67.87
63.22
56.70
48.81
44.71

32.59
18.67
12.42

1983

Total

53.39

617.78

978.53

1,080.86

1,113.55

1,001.24

8.03

54.50

5.70

32.43

3.80

21.50

1.96

11.39

1.45

6.45

0.33

2.33

Male

94.98
1,113.36
1,787.28
2,001.21
2,070.25
1,873.38

810.38

1,512.99

650.57

1,214.33

551.00

1,028.43

463.53

865.03

413.32

765.94

362.83

670.12

275.47

507.90

162.44

300.46

89.20

163.98

54.50

99.77

32.43

60.04

21.50

40.23

11.39

21.72

6.45

12.65

■> 11

5.26

Female

9.84
99.71
134.98
124.01
115.96
97.24

85.86
71.34
66.08
58.08
57.21
53.29

43.56
26 66
16.51
10.99
6.25
4.13

2.17
1.11
0.36

Arrest Rate: NumL of burglary arrests per 100.000 .nhabuants belong,ng to a prescribed age group.

-arceny

-theft, Age-Specific Arrest Rates by Sex, United States

Age Group

12 and under

13-14

15

16

17

18

19
20
21

22
23

24

25-29
|3C?4
31. IP
40-44
45-49
50-54

55-59
60-64
65 and over

Total

226.37
1,957.14
2,533.98
2,510.42
2,308.89
2,005.74

1,520.85
1,252.28
1,103,45
1,013.42
914.96
833.26

570.20
368.64
288.31
221.87
171.32
133.12

99.57

77.77
39.76

1974

Male

336.78
2,652.29
3,525.83
3,539.66
3,288.35
2,788.35

2,085.79
1,660.83
1.461.76
1.368.76
1.245.24
1,126.93

7''6.51
489.51
383.61
295.67
228.20
172.83

129.12
97.60
58.37

Female

111.30
1.234.67
1.504.76
1.443.26
1.293.62
1.208.83

952.88
841.91
745.14
661.17
588.91
545.33

377.11
251.50
197,47
151.07
118.02
96.49

72.89
60.54
26.83

Total

174.72
1.683.69
2,231.51
2,437.96
2.366.84
2.047.10

1,592.90
1,311.81
1,139.08
1,017.38
935.30
831.85

665 30

t41.00
333.97
266.84
213.80
178.45

130.30

102.84

55.73

1979

Male

259.99
2,321.04
3,128.61
3,501.76
3,487.54
2,998.41

2,303.78
1,840.31
1,585.65
1,391.60
1,261.24
1,109.41

890.23
580.47
434.38
339.37
264.58
218.37

160.62

125.59

79.66

Female

85.56
1,020.42
1,292.93
1,335.22
1,206.15
1,068.01

Total

174.19
1,610.11
2,165.78
2,263.08
2,233.50
1,973.93

1983

Male

260.55
2,257.44
3,041.07
3,255.85
3,287.24
2,903.66

Female

83.76
933.41
1,252.82
1,230.94
1,134.70
1,010.24

869.29

1,700.66

2,472.28

904.98

778.20

1,455.05

2,049.72

844.06

688.75

1,288.18

1,814.41

753.68

643.15

1,140.43

1,583.09

693.70

611.74

1,040.67

1,436.79

640.88

555.92

977.22

1,331.95

619.89

443.12

839.38

1,150.15

529.29

304.-3

631,5.

881.90

385.73

237.10

434.84

599.70

274.60

197.31

343.11

461.43

229.37

165.89

270.36

356.40

188.78

141.67

219.01

283.72

158.97

103.14

163.80

211.71

121.07 ,

83.23

122.11

156.54

92.47

39.51

63.37

91.13

44.76

Age-Specific

Arrest Rate. Num^r of larceny-thef. arrests per 100,000 mhabitants belonging to a prescnbed age group.

351

Motor Vehicle Theft, Age-Specific Arrest Rates by Sex, United States

Age Group

12 and under

13-14

15

16

17

18

19
20
21
22
23
24

25-29
30-34
35-39
40-44
45-49
50-54

55-59
60-64
65 and over

Total

1974

Male

7.67

14.00

260.11

465.20

578.49

1,057.11

618.84

1,143.05

462.41

864.82

344.78

644.69

237.83

445.60

188.43

354.01

161.00

302.01

136.86

257.26

118.76

222.80

107.11

202.86

69.76

131.04

41.46

78.65

27.70

53.10

17.18

32.85

10.62

20.80

5.89

11.65

2.91

5.89

1.59

3.18

0.76

1.75

Female

1.08
46.95
81.83

75.30
45.53
39.39

28.95
22.12
19.99
17.61
16.15
13.23

9.48
5.41
3.49
2.15
1.08
0.59

0.21
0.21
0.08

Total

6.89
233.63
475.99
517.28
443.09
327.11

244.17
186.22
163.79
143.13
120.95
104.43

71.51

42.47
27.05
17.90
11.92
7.00

4.07
2.07
0.72

1979

Male

Female

Total

1983

Male

Age-Specific Arrest Rate: Number of motor vehicle theft arrests per 100,000 inhabitants belongmg to a prescribed age group

11.97

1.59

3.43

6.04

0.70

399.20

61.32

115.59

189.43

38.40

821.20

114.82

273.51

470.32

68.23

922.76

96.76

312.34

556.43

58.55

808.09

64.91

300.62

547.90

42.77

600.14

45.98

241.28

437.64

37.74

450.84

33.80

198.28

362.65

28.79

344.17

2674

166.73

305.45

24.19

301.24

25,17

142.47

261.45

21.62

264.24

22.03

126.06

230.53

20.57

223.48

19.18

112.40

203.77

20.13

192.51

16.86

99.46

181.66

16.66

131.36

12.39

74.55

136.33

12.89

79.02

6.76

45.01

83.55

7.09

50.73

4.20

28.27

52.62

4.61

33.75

2.70

18.73

34.85

3.23

22.76

1.69

12.79

24.57

1.62

13.70

0.82

6.73

12.97

0.95

8.19

0.38

4.28

8.56

0.46

4.11

0.30

2.27

4.58

0.28

1.59

0.13

0.80

1.86

0.09

Arson, Age-Specific Arrest Rates by Sex, United States

Age Group

1974

1979

1983

Total

Male

Female

Total

Male

Female

Total

Male

Female

12 and under

13-14

15

16

17

18

8.26
32.91

15.01
56.90

1.22
7.97

7.56
33.58

13.62
58.30

1.21
7.86

620

27.81

11.16

47.91

1.00
6 81

34.53

61.42

6.64

39.53

69.74

7.93

28.25

49.32

6 29

28.02

48.69

6.59

34.32

61.10

6.55

24.43

43.48

4 62

22.34

40.85

3.16

28.52

50.78

5.47

22.11

39.33

4 16

18.01

33.35

2.39

24.63

44.80

3.86

20.30

36.07

3.96

19
20
21
22
23
24

16.40

30.29

2.43

19.14

34.31

3.70

19.74

35.63

3 35

12.12

22.02

2.18

18.03

32.78

3.15

1692

29.99

3 48

10.37

19.07

1.68

14.41

25.25

3.49

17.35

30.07

4.44

9.72

17.08

2.44

14.78

25.53

4.03

15.00

2623

3 67

10.74

19.17

2.42

13.26

23.15

3.44

13.86

24.17

344

8.50

15.08

2.04

11.91

20.25

3.62

12.17

20.41

3.86

25-29
30-34
35-39
40-44
45-49
50-54

7.77
6.06
4.86
3.99
3.32
2.23

13.55
10.76
7.95
6.83
5.94
4.01

2.09
1.50
1.91
1.26
0.86
0.59

10.05
7.14
645
5.03
3.54
2.66

17.39
12.15
10.90
8.44
5.90
4.89

2.81

2.25
2.15
1.76
1.31
0.60

12.01
8.75
7.52
6.49
4.50
3.47

2076
14.78
12.60
11.11
7.65
6.45

3.28
2.82
2.59
2.05
1.52
0.71

55-59
60-64
65 and over

Ace-Snecific Arr*H;f Kutf NInmK

1.21
0.94
0.27

2.11
1.76
0.60

0.40
0.23
0.05

1.49
1.05
041

2.83
1.95
0.89

0.28
0.28
0.08

1.9!

1.23
0.39

3.34
2.32
0.82

0.63
0.28
0.11

352

APPENDIX V

INDEX OF CRIME, METROPOLITAN

STATISTICAL AREAS, 1983

Metropolitan Statistical Area

\bilene, Tx. M.S.A

(Includes Taylor County.)

City of Abilene

Total area actually reporting
Rate per 100.000 inhabitants

Akron, Oh. M.S.A

(Includes Portage and Summit
Counties.)

City of Akron

Total area actually reporting

Estimated total

Rate per 100.000 inhabitants

Albany, Ga. M.S.A

(Includes Dougherty and Lee
Counties.)

City of Albany

Total area actually reporting

Estimated total

Rate per 100,000 inhabitants
Albany-Schenectady-Troy, N.Y.

M.S.A

(Includes Albany, Greene.
Montgomery, Rensselaer, Saratoga
and Schenectady Counties.)
City of;

Albany

Schenectady

Troy

Total area actually reporting

Estimated loul

Rate per 100,000 inhabitants

Albuquerque, N. M. M.S.A

(Includes Bernalillo County )

City of Albuquerque

Total area actually reporting ....
Rate per 100.000 inhabitants
Allentown-Bethlehem, Pa.-N.J.

M.S.A

(Includes Carbon. Lehigh, and
Northampton Counties. Pa., and
Warren County. N.J.)
City of;

AUentown

Bethlehem

Total area actually reporting
Rate per 100.000 inhabitants .

Alton-Granite City, II. M.S.A

(Includes Jersey and Madison
Counties.)
City of:

Alton

Granite City

Total area actually reporting..
Rate per 100,000 inhaoitants . .

Altoona, Pa. M.S.A

(Includes Blair County.)

City of Altoona

Total area actually reporting .
Rate per 100,000 inhabitants .

Amarillo, Tx. M.S.A

(Includes Potter and Randall
Counties.)

City of Amarillo

Total area actually reporting
Rate per 100,000 inhabitants.
See footnotes at end of table.

Population

Cnme
Index
total

123,553

109.003
100.0%

658,944

236.547
83.5%
100.0%

119,137

78.804
99.2%
100.0%

842,411

102.698
68.499
57.132
98.7%

100.0%

448,008

355.163
100.0%

641,854

104.463
70,825
100.0%

253,320

34,352
36,948
100.0%

137,244

57,336
100.0%

192,583

165,527
100.0%

Modified
Crime
Index
total'

6,285

6,713

5,433.3

15.949
28.334
31.138
4.725.4

5.489

6.126

6.181

5.188.1

5.215

3.064

3.197

29.155

29.561

3.509.1

29,250
33,640
7,508.8

5,756

2,367

19,079

2,972.5

3.181

1.971

12.330

4.867.4

1.768
3.306
2.408,

11.202
11.874
6.165.7

Property
crime^

374

429

347.2

1,429
2.209
2.407
365.3

617

657

660

554.0

648

187

247

2.117

2,144

254.5

2,954
3,433
766.3

338
165

169.5

149

82

529

208 8

94

164

119.5

844

903

468.9

Murder
and non-
negligent

man-
slaughter

Forcible
rape

Robbery

5,911

6,284

5,086.1

14.520
26.125
28.731
4,360.2

4,872

5,469

5,521

4,634.2

4,567
2,877
2,950
27,038
27,417
3,254.6

26,296
30.207
6,742.5

5,418

2,202

17.991

2.803.0

3,032

1,889

11,801

4,658.5

1,674

3,142

2,289.4

10,358
10,971
5,696.8

12

15

15

12.6

2
21
21
2.5

24
31
6.9

14

2.2

11

4.3

18

21

10.9

32

36

29.1

128
178
196

29.7

63

67

67

56.2

42
16
13
130
131
15.6

206
244
54.5

34

4

87

13.6

14

4

49

19.3

52

58

30.1

125

132

106.8

645

780

824

125.0

Aggra-
vated
assault

Burglary

Larceny-
theft

168

171

172

144.4

221
125
76
532
542
64.3

187

79

410

63.9

60
15
145

57.2

27
36

26.2

186

199

103.3

210

252

204.0

637
1,230
1,364
207.0

374

404

406

340.8

382
45

156
1,434
1,450
172.1

1,815
2,170
484.4

110

82

577

89.9

72

63

324

127.9

63
114

83.1

588

625

324.5

1,425

1,607

1,500.7

3,236

6,033

6,856

1,040.5

1,644

1,884

1,898

1,593.1

1.588
1.001
1,190
8,258
8,352
991.4

7,733

9,085

2,027.9

1,502

509

4,671

727.7

894

526

3,559

1,404.9

654
1.022

744.7

2,904

3,100

1,609.7

Motor
vehicle
theft

4,231

4,404

3,564.5

10,447
18,657
20,283
3,078.1

3,068

3,397

3.431

2.879.9

2,813
1,688
1.630
17.703
17,962
2,132.2

17,087
19,418
4,334.3

3.698

1.604

12.519

1.950.4

2.053

1,284

7,706

3,042.0

934

1,936

1,410.6

6,909

7,282
3,781.2

255

273

221.0

837
1,435
1,592
241.6

160
1

192
161.2

166

188

130

1,077

1,103

130.9

1,476
1,704
380.4

21
89
801
124.8

85

79

536

211.6

86

184

134.1

545

589

305.8

353

APPENDIX V — Index of Crime. Metropolitan Statistical Areas, 1983 — Continued

Metropolitan Statistical Area

Anaheim-Santa Ana, Ca. M.S.A

(Includes Orange County.)
City of:

Anaheim

Santa Ana

Total area actually reporting....
Rate per 100,000 inhabitants ...

Anderson, S.C. M.S.A

(Includes Anderson County.)

City of Anderson

Total area actually reporting

Estimated total

Rate per 100,000 inhabitants

Anniston, Al. M.S.A

(Includes Calhoun County.)

City of Anniston

Total area actually reporting

Rate per 100,000 inhabitants

Appleton-Oshkosh-Neenah, Wi.

M.S.A

(Includes Calumet, Outagamie and
Winnebago Counties.)
City of:

Appleton

Oshkosh

Neenah

Total area actually reporting

Rate per 100,000 inhabitants

Asheville, N.C. M.S.A

(Includes Buncombe County.)

City of Asheville

Total area actually reporting ......

Estimated total

Rate per 100,000 inhabitants

Athens, Ga. M.S.A

(Includes Clarice, Jackson, Madison
and Oconee Counties.)

City of Athens

Total area actually reporting

Estimated total

Rate per 100,000 inhabitants ...

Atlanta, Ga. M.S.A

(Includes Barrows. Butts, Cherokee,
Clayton, Cobb, Cowetta, De Kalb,
Douglas, Fayette, Forsythe, Fulton,
Gwinnett, Henry, Newton, Paulding,
Rockdale, Spaulding and Walton
Counties.)

City of Atlanta

Total area actually reporting

Estimated total

Rate per 100,000 inhabitants .

Atlantic Oty, N.J. M.S.A

(Includes Atlantic and Cape May
Counties.)

City of Atlantic City

Total area actually reporting

Rate per 100,000 inhabitants

Augusta, Ga.-S.C. M.S.A

(Includes Columbia, McDuflle and
Richmond Counties, Ga. and Aiken
County, S.C.)

City of Augusta..

Total area actually reporting

Estimated total

Rate per 100,000 inhabitants

Aurora-Elgio, D. M.S.A

(Includes Kane and Kendall
Counties.)
City of:

Aurora

Elgin

Total area actually reporting

Rate per 100,000 inhabitants

See footnotes at end of table.

Population

2,060,144

233,705
220.078
100.0%

Crime
Index
total

140,118

29,629
99.3%
100.0%

122,827

30,280
100.0%

292,169

59,616

50,350

22,739

100.0%

184,273

55,897
91.7%
100.0%

137,314

43,972
88.2%
100.0%

2,248,930

448,635
98.8%
100.0%

276,094

38,894
100.0%

357,779

49,565
96.7%
100.0%

315,110

78,004
63,996
100.0%

15,592

19,437

113,543

5.511.4

2,421

6,576

6,643

4,741.0

3,433

5,035

4,099,3

2,972

2,913

1,194

11,770

4,028,5

4.331

6,108

6,513

3,534.4

2,910

5,697

6,401

4,661.6

Modified
Cnme
Index
total'

48,413
131,755
133,407
5,932.0

14,927

31,142

11,279.5

3,150
14,677
15,117
4,225.2

5,571

3,916

14,901

4.728.8

Violent
crime"

1,058
1,545
7,845
380.8

278

678

685

488.9

560

758

617.1

131

35

13

324

110.9

281

439

475

257.8

316

445

492

358.3

9,326
14,720
14,835

659.6

1,005
1,959
709.5

260
1,603
1,631
455.9

446

261

948

300.8

Property
cnme'

14,534

17,892

105,698

5,130.6

2,143

5,i

5,958

4,252.1

2,873

4,277

3,482.1

2,841

2,878

1,181

11,446

3,917.6

4,050

5,669

6,038

3,276.7

2,594

5,252

5,909

4,303,3

39.087
117,035
118,572
5,272,4

13,922

29,183

10,570,0

2,890
13,074
13,486
3,769,4

5,125

3,655

13,953

4,428.0i

Murder
and non-
negligent

man-
slaughter

II
26
100
4.9

23

23

16.4

4

4

5

2.7

4

8

9

6,6

141
226
228
10,1

12
4,3

9
34
34
9,5

Forcible
rape

108
96
635
30,

12

33

33

23,6

18

23

18,7

44

4

3

66

22,6

16

23

25

13.6

32

49

53

38.6

Robbery

619
1,066
1,076
47.8

47
128
46.4

24
130
133

37.2

30

10

55

17.5

439

732

3,075

149.3

44

85

87

62.1

109

130

105.8

13

14

2

34

116

87
100
106
57.5

64

86

101

73.6

3,552
5,415
5,451
242,4

580

836

302,8

133

414

423

118,2

163

91

280

88,9

Aggra-
vated
assault

500

691

4,035

195,9

214
537
542
386

429

598

486,9

74

17

8

224

76,7

174

312

339

184,0

216

302

329

239.6

5,014
8,013
8,080
359.3

Burglary

94
1.025
1,0 1 1
291.0

245
157
601

4,461

5,062

32,503

1,577.7

542

1,780

1,796

1,281,8

869
1,227
999.0

629
497
198

2,255
771

949
1,522
1,662
901.9

819

1,563

1,765

1,285.4

Larceny-
theft

12,501
35,990
36,408
1,618.9

375 2,238

983 7,056

356.0 2,555.7

1,002

4,971

5,106

1,427,1

1,466
1,254
4,280

8.663
11,386
63,966
3,104.9

1,486

3,791

3,832

2,734.8

1,873

2,816

2,292.7

2,160

2,321

957

8,887

3,041.7

2,936

3,882

4,092

2,220.6

1,664

3,428

3,832

2,790.7

Motor
vehicle
theft

190.7! 1,358.3

23.566
71,628
72,641
3,230.0

10,981
20,565
7,448.6

1,743

7,336

7,579

2,118.3

3,439

2,264

9,1541

2,905.ol

1,410
1,444
9,229
448.0

115

327

330

235.5

131

234

190.5

52

60

26

304

104.0

165

265

284

154.1

111
261
312

227,2

3,020
9,417
9,523
423.4

703
1,562
565.7

145

767

801

223.9

220

137

519

164.7

354

PPENDIX V — Index of Crime. Metropolitan Statistical Areas. 1983 — Continued

MetropoUtan Statistical Area

ustin. Tx. M.S^

(Includes Hays, Travis, and
I Williamson Counties.)

City of Austin

Total area actually reporting
Rate per 100,000 inhabitants...

lakersfield, Ca. M.S.A

(Includes Kern County.)

City of Bakersfield

Total area actually reporting
Rate per 100,000 inhabitants

laltiinore, Md. M.S.A

(Includes Baltimore City and Anne
Arundel, Baltimore. Carroll,
Harford, Howard and Queen Anne
Counties.)

City of Baltimore

Total area actually reporting

Rate per 100,000 mhabitanls

langor, Me. M.S.A

(Includes part of Penobscot and
Valdo Counties.)

City of Bangor

Total area actually reporting

Rate per 100,000 inhabitants

laton Rouge, La. M.S.A

(Includes Ascension. East Baton
Rouge, Livingston, and West Baton
Rouge Parishes.)

City of Baton Rouge

Total area actually reporting

Estimated total

Rate per 100,000 inhabitants

Battle Creek, Mi. M.S.A

(Includes Calhoun County.)

City of Battle Creek

Total area actually reporting

Estimated total

Rate per 100,000 mhabitants
Beaumont-Port Arthur, Tx. M.S.A..
(Includes Hardin, Jefferson, and
Orange Counties.)
City of:

Beaumont*

Port Arthur

Total area actually reporting
Rate per 100,000 mhabitants

Beaver County, Pa. M.S.A

(Includes only Beaver County.)
Total area actually reportmg

Estimated total

Rate per 100.000 inhabitants

Bellingham, Wa. M.S.A

(Includes Whatcom County.)
City of Bellingham
Total area actually reporting
Rate per 100,000 inhabitants .

Benton Harbor, Mi. M.S.A

(Includes Berrien County.)
City of Benton Harbor
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants

Bergen-Passaic, N.J. M.S.A

(Includes Bergen and Passaic
Counties.)

City of Passaic

Total area actually reporting
Rate per 100,000 inhabitants.

Billings, Mt. M.S.A

(Includes Yellowstone County.)

City of Billings

Total area actually reporting
Rate per 100,000 inhabitants .
See footnotes at end of table.

Population

591,242

381,091
100.0%

429,539

120,112
100.0%

Crime
Index
total

2,248,824

805,527
100.0%

66,174

32,274
100.0%

525,308

231,608
97.8%
100.0%

138,488

34,897
85.4%
100.0%

415,912

130,976
72,121
100.0%

213,181

98.9%
100.0%

109,969

47,823
100.0%

168,023

14,404
99.3%
100.0%

1,314,635

53,155
100.0%

Modified
Crime
Index
total'

29,812
39,130
6.618.3

11,996
32.460
7.556.9

68,667
139,260
6,192.6

1.950

3,010

4,548.6

24,848
35,503
36,136
6,879.0

5,318

8,635

9,841

7,106.0

9,710

3,257

20.343

4.891.2

112,876

71.508
100.0%

3,420

3,482

1,633.4

3.813

6,137

5.580.7

2,815
11,225
11.300
6.725.3

3,341
55,164
4,196.1

5,307

6,900

6,112.9

Property
crime'

1,534
2,343
396.3

863
2,946
685.9

28,278
36,787
6.222.0

11,133
29.514
6,871.1

Murder
and non-
ncgligenl

man-
slaughter

Forcible
rape

16,132 52,535
24,809 114,451
1,103.2 5.089.4

52

62

93.7

3,775
4,921
4,983
948.6

405
671

772
557.4

1.129

373

2,160

519.3

253

257

120.6

144

245

222.8

577
1,259
1.265
752.9

505
4,613
350.9

122

184

163.0

1,898

2,948

4454.9

21,073
30,582
31,153
5,930.4

4,913

7,964

9,069

6,548.6

8,581

2,884

18,183

4,371.8

3,167

3,225

1,512.8

3,669

5.892

5.357.9

2,238

9,966

10,035

5,972.4

2,836
50,551
3,845.2

5.185

6,716

5,949.91

58

79

13.4

11
40
9.3

201
258
11.5

Robbery

46

65

66

12.6

20

12

46

11.1

240
295
49.9

70
198
46.1

497
789
35.1

3

4

6.0

141
216
219
41.7

25
59
66

47.7

111

18
181
43.5

16

37
33.6

28
11
11
70.2

13
130
9.9

19

25

22.1

Aggra-
vated
assault

Burglary

665

763

129.1

418

905

210.7

9.167
11,153
495.9

31

34

51.4

816

975

986

187.7

129

168

196

141.5

441
135
760

182.7

75

76

35.7

28
41

37.3

103

268

270

160.7

571
1,206
204.0

364
1,803
419.8

325
2,572
195.6

49

53

47.0

7,966
10,483
1,773.0

Larceny-
thcfi

18,889
24.510
4.145.5

3.645 6,601

9,570 17,800

2,228.0 4,144.0

6,267 14,547
12,609 31,093
560.7 1,382.6

1

24
36.3

2,772
3,665
3,712
706.6

244

435

500

361.0

557

208

1,173

282.0

152
155
72.7

100

167

151.9

445

870

874

520.2

165
1,869
142.2

53
103
91.3

Motor
vehicle
theft

300

546

825.1

6,570

9,362

9,493

1,807.1

1,473

2.388

2,657

1,918.6

2,846

902

6,009

1,444.8

924

938

440.0

794

1,502

1,365.8

852

2.894

2,911

1,732.5

637
11.735
892.6

1,452

1,807

1,600.9

33,528
74,500
3,312.8

1,498

2,245

3,392.6

13,364
19,642
20,045
3,815.9

3,323

5,340

6,051

4.369.3

5,106

1,854

10,921

2,625.8

1,936
1.975
926.4

2,744

4,144

3,768.3

1,324

6,770

6,814

4,055.4

1.425
30,999
2,358.0

3,483

4,564

4,043.4

1,423
1.794
303.4

887
2,144
499.1

4,460
8,858
393.9

100

157
237.3

1.139

1,578
1,615
307.4

117

236

361

260.7

629

128

1,253

301.3

307

312

146.4

131

246

223.7

62

302

310

184.5

774
7,817
594.6

250

345

305.6

355

APPENDIX V — Index of Crime, MetropoUtan Statistical Areas, 1983 — Continued

Metropolitan Statistical Area

Binghamton, N.V. M.S.A

(Includes Broome and Tioga
Counties.)

City of Binghamton

Total area actually reporting

Estimated total

Rate per 100,000 inhabitants

Birminghain, Al. M.S.A

(Includes Blount, Jefferson, Saint
Clair, Shelby, and Walker Counties.)

City of Birmingham

Total area actually reporting ...

Estimated total

Rate per 100,000 inhabitants..

Bismarck, N.D. M.S.A

(Includes Burleigh and Morton
Counties.)

City of Bismarck

Total area actually reporting ...
Rate per 100,000 inhabitants..

Bloomington, In. M.S.A

(Includes Monroe County.)

City of Bloomington

Total area actually reporting ....
Rate per 100,000 inhabitants...

Bloomington-Nomial, II. M.S.A

(Includes McLean County.)
City of

Bloomington

Normal

Total area actually reporting ....

Estimated total

Rate per 100,000 inhabitants ...

Boise, Id. M.S.A

(Includes Ada County.)

City of Boise

Total area actually reporting

Rate per 100,000 inhabitants

Boston, Ma. M.S.A

(Includes part of Bristol, Essex,
Middlesex, Norfolk, Plymouth and
Worcester Counties, and all of
Suffolk County.)

City of Boston

Total area actually reporting

Estimated total

Rate per 100,000 inhabitants

Boulder-Longmont, Co. M.S.A

(Includes Boulder County.)
City of:

Boulder

Longmont

Total area actually reporting
Rate per 100,000 inhabitants

Bradenton, Fl. M.S.A

(Includes Manatee County.)

City of Bradenton

Total area actually reporting

Rate per 100,000 inhabitants

Brazoria County, Tx. M.S.A

(Includes only Brazoria County.)

Total area actually reporting

Rate per 100,000 inhabitants

Bremerton, Wa. M.S.A

(Includes Kitsap County.)

City of Bremerton

Total area actually reporting

Rate per 100,000 inhabitants

Bridgeport-Milford, Cf. M.S.A

(Includes part of Fairfield and New
Haven Counties.)
City of:

Bridgeport

Milford

Total area actually reporting

Rate per 100,000 inhabitants

See footnotes at end of table.

Population

304,388

56,255
99.2%
100.0%

883,733

Crime
Index
total

289,357
98.5%
100.0%

83,282

46,382
100.0%

97,917

52,036
100.0%

120,497

44,841
36,01 1
99.2%
100.0%

181,203

107,085
100.0%

2,766,077

566,551
903%
100.0%

203,889

83,137
46,786
100.0%

163,034

33,020
100.0%

185,594

100.0%

152,613

37,442
100.0%

453,920

144,428
51,589
100.0%

2,905

8,494

8,578

2,818.1

26,817
44,444
45,167
5,110.9

2,098

2,921

3,507.4

2,075

4,790

4,891.9

3,111
1,298
5,564
5.609
4,654.9

6,085

8,616

4,754.9

67,302
149,423
159,148
5,753.6

5,471

3,373

13,036

6.393.7

3,012

9,979

6,1208

6,170
3.324.5

2,577

5,566

3,647.1

17,121

1,894

27,127

5,976.21

Modified
Crime
Index
total'

Violent
crime^

51
216
221
72.6

3,006
4,704
4,777
540.5

29

53

63.6

104

199

203.2

182

36

292

295

244.8

420

664

366.4

11.365

19,854

20,642

746.3

231

159

728

357.1

356
1,146
702.9

430
231.7

Property
crime^

Murder
and non-
negligent

man-
slaughter

218

371

243.1

1,757

89

2,221

489.3

2,854

8.278

8,357

2,745.5

23,811
39,740
40,390
4,5704

2,069

2,868

3,443.7

1,971

4,591

4,688.7

2,929
1,262
5,272
5,314
4,4101

5,665

7,952

4,388.4

55,937
129,569
138,506
5,007.3

5,240

3,214

12,308

6,036.6

2,656

8,833

5,417.9

5,740
3,092.8

2,359

5,195

3,404.0

15,364

1,805

24,906

5,486.9

70

98

99

11.2

Forcible
rape

2
2.0

6.6

4

4

2.2

90
119
122
4.4

4

2

6

2.9

4
14
8.6

12
6.5

2

4

2.5

32

2

38

8.4

12

39

39

12.8

253
332
335
37.9

7

13

15.6

15

26

26.6

19

5

27

27

22.4

43

53

29.2

367
709

747
270

7

9

44

21.6

Robbery

14

87
53.4

36
19.4

44

68

44.6

41

10

74

16,3l

27

51

53

17.4

1,253
1,615
1,629
184.3

10

12

14.4

12

23
23.5

43

2

47

48

39.8

54

70

38.6

6,713
9,073
9,252
334.5

51

33

105

51.5

64

167

102.4

60

32.3

Aggra-
vated
assault

31

53

34.7

1.120

38

1,312

289.0

U
119
122
40.1

1,430
2,659
2,714
307.1

12

28

33.6

77

148

151.1

114

28

210

212

175.9

319

537

296.4

4,195
9,953
10,521
380.4

169

115

573

281.0

274

878

538.5

322
173.5

Burglary

141

246

161.2

564

39

797

175.6

661
2,193
2,212

726.7

7,127
11,680
11,853
1,341.2

309

413

495.9

303

920

939.6

660

289

1,304

1,314

1,090.5

1,412

2,060

1.136.8

11,471
31,309
33,820
1,222.7

1,120

557

2,641

1,295.3

2,670
1,637.7

1,631
878.8

Larceny-
theft

455

1,547

1,013.7

4,357

503

7.017

1,545.9

2,047

5,749

5,803

1,906.4

13,779
23,764
24,201
2,738.5

1,645

2,292

2,752.1

1,543

3,462

3,535.6

2,183

949

3,827

3,855

3,199.2

4,009

5,544

3,059.6

26,419
65,377
70,235
2,539.2

3,864

2,529

9,106

4,466,2

1,654

5,619

3,446.5

3,700
1,993.6

Motor
vehicle
theft

1,821

3.454

2,263.2

7,832

1,057

13,625

3,001.6

146
336

342
112.4

2,905
4,296
4,336
490.6

115

163

195.7

125

209

213.4

86

24

141

145

1203

244

348

192.0

18,047
32.883
34,451
1.245.5

256
128
561

275.1

121

544

333.7

409
220.4

83
194

127.1

3,175

245

4,264

939.4

356

PENDIX V- Index of Crime. Metropolitan Statistical Areas, 1983 - Continued

Melropolitan Stalislical Area

Population

Stol, Ct. M.S.A

Includes part of Hartford and
Litchfield Counties.)

City of Bristol

Total area actually reporting
Rate per 100.000 inhabitants

iKkton, Ma. M.S.A

Includes part of Bristol, Norfolk and
Plymouth Counties.)

City of Brockton

Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
ownsville-Harlingen, Tx. M.S.A....
;lncludes Cameron County.)
Oily of:

Brownsville

Harlingen
Total area actually reportmg
Rate per 100,000 mhabitanls
yan-CoUege Station, Tx. M.S.A....
(Includes Brazos County.)
City of:

Bryan

College Station
Total area actually reporting
Rate per 100.000 inhabitants

affalo, N.Y. M.S.A

(Includes Ene County.)

City of Buffalo

Total area actually reporting

Estimated total

Rale per 100,000 inhabitants

urlington, N.C. M.S.A

(Includes Alamance County.)

City of Burlington

Total area actually reporting
Rate per 100,000 inhabitants

anton, Oh. M.S.A

(Includes Carroll and Stark Counties.)

City of Canton

Total area actually reporting

Estimated total

Rale per 100,000 inhabitants

Jasper, Wy. M.S.A

(Includes Natrona County.)

City of Casper

Total area actually reporiing
Rate per 100,000 inhabiunts

>dar Rapids, la. M.S.A

(Includes Linn County)

City of Cedar Rapids

Total area actually reporting

Rate per 100,000 inhabitants
Champaign-Urbana-Rantoul, II.

M.S.A

(Includes Champaign County.)
City of:

Champaign

Urbana

Rantoul

Total area actually reporting
Rate per 100,000 inhabitants

Charleston, S.C. M.S.A

(Includes Berkeley, Charleston, and
Dorchester Counties.)

City of Charleston

Total area actually reporting

Rate per 100,000 inhabitants
See footnotes at end of table.

68,859

57.965
100.0%

Crime
Index
total

193,167

95,630
83.0%
100.0%

231,057

93,015
47.923
100.0%

103,738

49,119
41.386
100.0%

1,025,239

360,656

98.7%
100.0%

102,424

38,719
100.0%

403,056

94,452
92.8%
100.0%

78,500

55,610
100.0%

169,556

110.018
100.0%

Modified
Cnme
Index
total'

169,028

57,835
35,538
20,314
100.0%

438,357

73,805
100.0%

1,817

2,062

2,994.5

6,344

7,837

9.029

4.674.2

6,024

2,944

12,185

5.273.6

3.459

2.088

6,835

6,588.7

25,987
47,224
47.688
4,651,4

1,675

3.104

3,030.5

6.520
15,646
16,498
4,093.2

3,185

3,907

4,977.1

8.240

9,700

5,720.8

5,035

2,539

430

11,823

6.994.7

5,824
26,443
6,032.3

Violent
crime^

Property
crime'

144

159

230.9

825

972

1,069

553.4

387

148

908

393.0

261

77

366

352.8

3,297
4,965
4.997
487.4

113

233

227.5

605
1.109
1,166
289.3

154

209

266.2

Murder
and non-
negligent

man-
slaughter

198

317

187.0

571

423

29

1,135

671.5

913
3,435
783.6

1,673

1,903

2,763.6

5,519

6,855

7,960

4,120.8

5,637

2,796

11.277

4.880.6

3,198

2,011

6,459

5,235,9

22,690
42,259
42.691
4,164.0

1,552

2,871

2,803,1

5.914
14.537
15,332
3,803,9

3,031

3,598

4,710,8

8,042

9,383

5,533,9

5.454

2,116

401

10,588

6,323,2

5,911
23.0081
5,248.7'

Forcible
rape

5

7

7

3.6

16

2

27

11.7

43
57
57
5.6

7
20
20
5.0

3

5

2.9

5
2
1
II
5.5

10
40
9.1

Robbery

Aggra-
vated
assault

22

35

40

20.7

20

9

57

24.7

13

15

31

29.9

297
352
353
34.4

3
13

12.7

55

91

95

23.5

9

11

14.0

23

26

15.3

21

16

4

51

30.2

43
215
49.0

14

15

21.8

152

184

206

105.6

113

45

179

77.5

1.410
1,634
1.646
160.5

24

42

41.0

314

437

451

111,9

19

30

38.2

83

87

51,3

202

62

10

295

174,5

322

942

214,9

Burglary

124

136

197,5

636

745

815

422.4

238

91

645

279.2

183

35

241

232.3

1,547
2,922
2,941
285.9

84

172

157.9

230

551

600

148,9

123

165

210.2

89

199

117.4

343

343

14

778

450,3

538
2,238
510.5

Larceny-
theft

454

542

787.1

1,748
2,169

2,477
1,282,3

1.743

793

3.712

1.505,5

1,081

405

1,680

1.619.5

7.150
12,106
12,213
1,191.2

381

825

805.5

1,705

4.390

4,613

1,144.5

Motor
vehicle
theft

1.091

1,235
1,793.5

2,589

3,293

3,888

2,012.8

3,121

1,823

6,427

2.781.6

1,941

1,512

4,476

4,314.7

12,720
26,112
25,407
2,575.7

1,128

1,955

1,909.7

3,817

9,282

9,800

2,431.4

1,844

2,338

1,378.9

2,054

751

84

3,626

2,145.2

1,371

7,059

1,610.3

598 2,232

889 2,658

1,132.5 3,386.0

5,872

6,674

3,935.2

3,260

1,289

310

5,741

3,988.1

4,215
14,392
3,283.2

118

126

183.0

1,182
1,403
1,595
825.7

773

180

1,138

492.5

176

93

313

301.7

2,820
4,041
4.071
397.1

53

90

87.9

392

855

919

228.0

101

151
192.4

326

371
218.8

150

75

7

321

189.9

325
1,557
355.2

357

APPENDIX V — Index of Crime. Metropolitan Statistical Areas, 1983 — Continued

Melropolitan Statistical Area

Charleston, W.V. M.S.A

(Includes Kanawha and Putnam
Counties.)

City of Charleston

Total area actually reporting

Estimated total

Rate per 100,000 inhabitants

Charlotte-Gastonia-Rock Hill,

N.C-S.C. M.S.A

(Includes Cabarrus, Gaston, Lincoln,
Mecklenburg, Rowan, and Union
Counties, N.C., and York County,
S.C.)
City of:

Charlotte

Gastonia

Rock Hill

Total area actually reporting

Estimated total

Rate per 100,000 inhabitants

Charlottesville, Va. M.S.A

(Includes Albemarle, Fluvanna, and
Greene Counties and Charlottesville
City.)

City of Charlottesville

Total area actually reporting

Rate per 100,000 inhabitants

Chattanooga, Tn.-Ga. M.S.A

(Includes Hamilton, Marion and
Sequatchie Counties, Tn., and
Catoosa, Dade and Walker
Counties, Ga.)

City of Chattanooga

Total area actually reporting

Estimated total

Rate per 100,000 inhabitants

Chicago, II. M.S.A.'

(Includes Cook, Du Page and
McHenry Counties.)

City of Chicago'

Total area actually reporting

Estimated total

Rate per 100,000 inhabitants

Chico, Ca. M.S.A

(Includes Bulte County.)

City of Chico

Total area actually reporting

Rale per 100,000 mhabitants

Cincinnati, Oh.-Ky.-In. M.S.A

(Includes Clermont, Hamilton and
Warren Counties, Oh.; Boone,
Campbell and Kenton Counties,
Ky.; and Dearborn County, In.)

City of Cincinnati

Total area actually reporting

Estimated total

Rate per 100,000 inhabitants
ClarksTille-HopkinsTille, Tn.-Ky.

M.S.A

(Includes Christian County. Ky. and
Montgomery County, Tn.)
City of:

Clarksville

Hopkins ville

Total area actually reporting

Estimated total

Rale per 100,000 inhabitants ...

Qeyeland, Oh. M.S.A

(Includes Cuyahoga, Geauga, Lake
and Medina Counties.)

City of Cleveland

Total area actually reporting

Estimated total

Rate per 100,000 inhabitants

See footnotes at end of table.

Population

264,470

63,367
99.6%
100.0%

Crime
Index
total

1,006,149

323,704
48,612
37,244
98.4%

100.0%

117,952

41,498
100.0%

439,027

170,652
99.4%
100.0%

6,033,957

3,021,203
99.8%
100.0%

153,670

28,274
100.0%

1,393,120

382,373
98.9%
100.0%

153,194

56,337
27,665
97.6%
100.0%

1,891,965

571,827
93.3%
100.0%

6,456
10,326
10,361
3,917.6

11,485
5.788
3,194
60,215
61,291
6,091.6

3,550

5,910

5,0105

13,051
19.478
19,649
4,475.6

241,603
375,897
376,387
6,237.8

2,321

9.031

5.876.9

30,053
67,912
68,573
4,922.3

2,546
1,671
5,701
5,884
3.840.9

47,236
86,091
90,588
4,788.0

Modified
Crime
Index
total'

Violent
cnme'

544

767

768

290.4

Properiy
crime^

4,267
297
388
6,522
6,637
659.6

245

307

260.3

1,251
1,544
1.656
377.2

39,776
46,870
46,902

777.3

94

570

370.9

3,339
5,943
5,980
429.3

7,798
10,701
10.992

581.0

5,912

9,559

9,593

3,627.3

Murder
and non-
negligent

man-
slaughter

27,218

5,491

2,806

53,693

54,654

5,432.0

3,305

5,603

4,750.2

11,800
17,8.34
17,993
4,098.4

201,827
329,027
329,485
5,450.5

2,227

8,461

5.505.0

26.714
61,969
62,593
4.493.0

257

2.289

162

1.509

568

5.133

580

5.304

378.6

3.462.3

39,438
75,390
79,596
4,207.1 1

5

11

11

4.2

44
7
2
93
94
9.3

6
11

9.3

22
34
34

7.7

729
836
837
13.9

2
5

3.3

27
47
47
3.4

148
180
183
9.7

Forcible
rape

31

59

59

22.3

258
7
11
370
374
37.2

20

40

33.9

69

97

98

22.3

2,246

2,589

2,591

42.9

9

57

37.1

308
481
484

34.7

35

9

58

59

38.5

716
921
941
49.7

Robbery

216
259
259
97.9

Aggra-
vated
assault

1.102
98
59
1,492
1,511
150.2

63

70

59.3

293
360
354
82.9

23,471
26,053
26,053
431.9

16

99

64.4

1,401
2,081
2.090
150.0

71

50

148

151

98.6

292

438

439

156.0

Burglary

2.863
185
316
4.557
4.558
453.0

156
186

157.7

867
1.153
1,160
264.2

13,330
17,392
17,411
288.6

67

409

266.2

1,603
3,334
3,359
241.1

148

98

350

358

233.7

4,115 2,819

4.943 4,657

5,017 4,851

265.21 256.4

1,595

2,572
2,578
974.8

8,108

1.408

751

16,312

15,554

1,646.3

630
1,003
850.3

2.510

4,552

4,595

1,045.6

48,955
80,116
80.228
1.329.6

412

2,828

1,840.3

7,398
15,192
15,320
1.099.7

809

417

1.551

1,692

1.104.5

14,046
22,555
23,539
1.244.2

Larceny-
iheft

Motor
vehicle
Ihefl

3,924

6,229

6,255

2,365.1

17,77

3,907

1,967

35,092

35,752

3,554.3

2,530

4,409

3,738.0

8,287
11,855
11,950
2,724.2

113,821
195,375
195,680
3,243.0

1,724

5,239

3,409.3

18,164
43,506
44,055
3,162.4

1,345
1,042
3,236
3,358
2,192.0

393

758

750

287.4

13,953
35,757
38,654
2,043.1

1,337
176
88
2,289
2,328
231.4

145

191

161.9

903
1,427
1,438
327.5

39,05 1
53,536
53,577
887.9

91

394

256.4

1,152
3,171
3,217
230.9

134

50

246

254

155.8

11,439
17.078
17,403
919.8

358

PENDIX V — Index of Crime, MetropoUtan Statistical Areas. 1983 — Continued

Metropolitan Statistical Area

Population

orado Springs, Co. M.S.A

includes El Paso County.)
City of Colorado Springs
Total area actually reporting ...

Estimated total

Rate per 100,000 inhabitants

umbia. Mo. M.S.A

Includes Boone County.)
City of Columbia
Total area actually reporting
Rate per 100,000 inhabitants...

lumbia, S.C. M.S.A

Includes Lexington and Richland
Counties.)

City of Columbia

Total area actually reporting

Rate per 1IX),000 inhabitants

lumbus, Ga.-Al. M.S.A

Includes Chattahoochee and
Muscogee Counties, Ga., and
Russell County, Al.)

City of Columbus

Total area actually reporting ...

Estimated total

Rate per 100,000 inhabitants...

lumbus. Oh. M.S.A

Includes Delaware, Fairfield,
Franklin, Licking, Madison,
Pickaway and Union Counties.)

City of Columbus

Total area actually reporting ..

Estimated total

Rate per 100,000 inhabitants..

rpus Christi, Tx. M.S.A

Includes Nueces and San Patricio
Counties.)

City of Corpus Christi*

Total area actually reporiing

Rate per 100,000 inhabitants

mberland, Md.-W.V. M.S.A

:includes Allegany County, Md., and
Mineral County, W.V.)
City of Cumberland
Total area actually reporting
Rate per 100.000 inhabitants

illas, Tx. M.S.A

(Includes Colhn, Dallas, Denton, Ellis,
Kaufman and Rockwall Counties.)
City of

Dallas

Total area actually reporting
Rate per 100,000 inhabitants

anbury, Ct. M.S.A

(Includes part of Fairfield and
Litchfield Counties.)

City of Danbury

Total area actually reporting
Rate per 100,000 inhabitants

lanville, Va. M.S.A

(Includes Pittsylvania County and
Danville City.)

City of Danville

Total area actually reporting

Rate per 100,000 inhabitants
>avenport-Rock Island-Moline,

a.-II. M.S.A

(Includes Scott County, la., and
Henry and Rock Island Counties,
ID

City of:
Davenport
Rock Island

Moline

Total area actually reporting
Rate per 100.000 inhabitants
See footnotes at end of table.

337,589

225,717
99.8%
100.0%

101,644

53,494
100.0%

421,978

103,423
100.0%

Crime
Index
total

251,506

178,935
90.8%
100.0%

1,235,981

561,328
97.6%
100.0%

360,739

256.020
100.0%

110,243

26,713
100.0%

2,140,213

998,827
100.0%

147,837

60.122
100.0%

116,231

47,786
100.0%

385,433

102,937
47,469
46.102

100.0%

Modified
Crime
Index
total'

18.097
21,163
21,211
6,283.1

4,494

6,357

6,254.2

10,323
24,449
5,793.9

6.857

8,987

9,890

3,932.3

43,619
66,959
68,120
5,511.4

20,700
24,072
6,673.0

923

2,305

2,090.8

107.808
162,649
7,599.7

3,093

5,176

3,501.2

1,353

2,102

1.808.5

7,926
3,706
2,506
19,661
5.101.0

Violent
crime"

Property
crime^

1,267
1,451
1,455
431.0

286

361

355.2

1,338
3,343
792.2

648

883

942

374.5

4,197
5,754
5,828
471.5

1,242
1,455
403.3

28

142

128.8

11,478
14,386
672.2

217

278

188.0

90

174

149.7

886

358

96

1,515

393.1

Murder
and non-
negligent

man-
slaughter

16,830
19,712
19,756
5,852.1

4,208

5,996

5,899.0

8,985
21,106
5,001.7

6,209

8,104

8,948

3,557.8

39,422
61,205
62,292
5,039.9

19,458
22,617
6,269.6

895

2,163

1,962.0

96,330
148,263
6,927.5

2,876

4,898

3,313.1

1,263

1,928

1,658.8

7,040
3,348
2,410
18,146
4,708.0

Forcible
rape

14
19
19
5.6

4

5

4.9

17
39
9.2

10
14
15
6.0

74
91
92

7.4

41

48

13.3

268
335
15.7

4
11
9,5

Robbery

151
195
195
57.8

19

24
23.6

59
193

45.7

59

77

82

32.6

324
448
453
36.7

145
179
49.6

17
4.4I

5

11
10.0

I. HI
51.9

11

20

13.5

42
21
12
92
23.9

Aggra-
vated
assault

446
481
482
142

58

62

61.0

408

689

163.3

248

286

306

121.7

2,407
2,887
2,906

235.1

495

526

145.8

10

25
22.7

4,914
5,662
264.6

46

59

39.9

28

39

33-6

196
11
29
386
100.1

Burglary

656
756
759

224.

205

270

265.6

854
2,422
574.0

331

506

539

214.3

1,392
2,328
2.377
192.3

561

702

194.6

13
100
90.7

5,405
7,278
340.1

160

198

133.9

52
113
97.2

639

217

53

1,020

264.6

Larceny-
theft

4,339

5.264

5,274

1,562.3

968

1.397

1,374.4

2,228

5,705

1,352.0

1,969

2,404

2,676

1.064.0

12.91
18.529
18,762
1,518.0

5,189

6,312

1.749.7

107

419

3801

29,576
42,961
2,007.3

753
1,440
974.0

247

497

427.6

2.332
677
607

5,053
1,311.0

Motor
vehicle
theft

11,550
13,388
13,420

3,975.2

3,089

4,405

4,333.8

6,320
14,016
3,321.5

3,800

5,149

5,653

2,247.7

24,014
39,263
40,029
3,238.6

12,972
14,843
4,114.6

762

1,656

1,502.1

59,593
95,011
4,439.3

1,909

3,113

2,105.7

968

1,351

1,162.3

4,494
2,582
1,735
12,556
3,257.6

941
1,060
1,062
314.6

151

194

190.9

437
1,385
328.2

440

551

619

246.1

2,490
3,413
3,501
283.3

1,297
1,462
405.3

7,161
10,291
480.8

214

345

233.4

48

80

68.8

214
89
68

537
139.3

359

APPENDIX V — Index of Crime, MetropoUtan Statistical Areas, 1983 — Continued

Metropotitan Statistical Area

Dayton-Springfield, Oh. M.S.A

(Includes Clark, Greene, Miami and
Montgomery Cotmties.)
City of:

Dayton

Springfield

Total area actually reporting

Estimated total

Rate per 100,000 mhabitants

Daytona Beach, Fl. M.S,A

(Includes Volusia County.)
City of Daytona B(^ch

Total area actually reporting

Rate per 100,000 inhabitants

Decatur, II. M.S.A

(Includes Macon County.)

City of Decatur

Total area actually reporting

Estimated total

Rate per 100.000 inhabitants

Den¥er, Co. M.S.A

(Includes Adams, Arapahoe, Denver,
Douglas and Jefferson C^ounties.)

City of Denver

Total area actually reporting

Rate per 100,000 inhabitants

Des Moines, la. M.S.A

(Includes Dallas, Polk and Warren
Counties.)

City of Des Moines

Total area actually reporting

Rate per 100,000 inhabitants

Detroit, Mi. M.S.A

(Includes Lapeer, Livingston, Macomb,
Monroe, Oakland, Saint Clair and
Wayne Counties.)

City of Detroit

Total area actually reporting

Estimated total

Rate per 100,000 inhabitants

Dubuque, la. M.S.A

(Includes Dubuque County.)

City of Dubuque

Total area actually reporting

Rate per 100,000 inhabitants

Duluth, Mn.-Wi. M.S.A

(Includes Saint Louis County, Mn.
and Douglas County, Wi.)

City of Duluth

Total area actually reporting

Rate per 100,000 inhabitants

East Saint Louis-BelleTille, U.

M.S.A

(Includes Clinton and Saint Clair
Counties.)
City of:

East Saint Louis

Belleville

Total area actually reporting ...

Estimated total

Rate per 100,000 inhabitants...

Eau Qaire, Wi. M.S.A

(Includes Chippewa and Eau Claire
Counties.)

City of Eau Claire

Total area actually reporting ..-.
Rate per 100,000 inhabitants

Elkhart-Goshen, In. M.S.A

(Includes Elkhart County.)
City of:

Elkhart

Goshen

Total area actually reporting . . . ,

Estimated total

Rate per 100.000 inhabitants. .
See footnotes at end of table.

Population

937,139

192.948
72,122
99.4%

100.0%

278,444

59,844
100.0%

Crime
Index

total

132,124

94,590
98.2%
100.0%

1,553,604

533,732
100.0%

3««,716

190,725
100.0%

4,399,257

1,176,968
99.0%
100.0%

93,589

62,226
100.0%

266,419

94,680
100.0%

303,265

55.599
40,312
98.7%
100.0%

132,427

52,301
100.0%

98,477

41,183
19,713

100.0%

20,784
5,556
51,377
51,585
5,504.5

8,197
19,777
7,102.7

5,981

6,922

7,032

5,322.3

55,339
117,439
7,559.1

17.742
24,992
6,815.1

151,832
341,450
343,967
7,818.8

3,383

3,969

4,240.9

4,363

9,435

3,541.4

4,221

1,481

12,869

13,055

4,304.8

2,833

4.733

3.574.0

2,633

504

3,589

3,982

4,043.6

Modified
Crime
Index
total'

Violent

2.837
713
4,970
4,983
531.7

886
1.;
649.3

385

425

431

326.2

4,379
9,013
580.1

868
1,31
357.5

25,527

42. 107

42,318

961.9

52

74

79.1

134
234
87.8

1,637
93
2,241
2,253
742.9

68
130
98.2

92
20
140
167
169.6

Property
crime'

17,947

4,843

46,407

46,602

4,972.8

7,311
17,969
6,453.4

5.596

6.497

6,601

4,996.1

50,960
108,426
6,979.0

16.874
23,681
6.457.6

126.305
299.343
301,649
6,856.8

3,331

3,895

4,161.8

4.229

9.201

3,453.6

2.584

1,388

10,628

10,802

3,561 9

Murder
and non-
negligent

man-
slaughter

2,765

4,603

3,475.9

2.541

484

3.449

3.815

3,874.0

54
12
83
83
8.9

II

27
9.7

Forcible
rape

78
130
8.4

7

9

2.5

580
724
726
16.5

2

2
2.1

1

6

2.3

55

74

74

24.4

153
47
353
354
37.8

63
159
57.1

23

25

25

18.9

430

745
48.0

86
103
28.1

1.514

2,776

2,791

63.4

Robbery

2

2

2.1

21

44

16.5

114
3
164
165
54.4

5

15

11.3

19

I

10

11

11.2

1,737
208
2,333
2.336
249.3

287

461

165.6

172

176

178

134.7

1,924
2,955
190.2

412

454

123.8

16.922

21,521

21,579

490.5

20

20

21.4

43

64

24.0

408

38

581

585

192.9

10

1

13.6

46

5

22

32

32.5I

vated
assault

893

446

2,201

2,210

235.8

525
1,161
417.0

190

224

228

172.6

1,947
5,183
333.6

363

745

203.2

6,511
17,086
17,222

391.5

28

50

53.4

69
120
45.0

1.060
52
1,422
1,429
471.2

52
96

72,5

25

14

107

123

124.9

Burglary

5.802

1,284

12,787

12,829

1,369.0

2,100

5,868

2,107.4

1,697

2,083

2,108

1,595.5

14,053
27,944
1,798.7

3,806

5,436

1,482.3

45,593
89,842
90,404
2,055.0

783

903

964.9

1,030

2,372
890.3

1,469

411

3,658

3,700

1,2201

664
1,074
811.0

362

80

729

820

832.7

Larceny-
theft

11,327
3,388
31,664
31,801
3,393.4

4,833
11,235
4,034.9

3,807

4,300

4,370

3,307.5

32,069
72,556
4,670.2

12,336
17,174
4,683,2

45,424
151,508
152,992
3,477.7

2,367

2,800

2,991,8

2,922

6,345

2,381.6

811

902

6.235

6,351

2,094,2

2,033
3.427
2,587

2,101

374

2,621

2,871

2,915.4

Motor
vehicle
theft

818

171

1,956

1,972

210.4

378

866

311.0

92
114
123
93.1

4,838
7,926
510.2

732
1,071
292.1

35,288
57,993
58,253
1,324.2

181

192

205.2

277

484

181.7

304

75

735

751

247.6

68
102
77.0

78

30

99

124

125.9

360

'PENDIX V — Index of Crime, Metropolitan Statistical Areas, 1983 — Continued

Melropohtan Statistical Area

nira, N.Y. M.S.A

Includes Chemung County.)

City of Elmira

Total area actually reporting
Rate per 100.000 inhabitants

Paso, Tx. M.S.A

Includes El Paso County.)

City of El Paso

Total area actually reporting
Rate per 100.000 inhabitants

id. Ok. M.S.A

Includes Garfield County.)
City of Enid

Total area actually reporting
Rate per 100.000 inhabitants

ie. Pa. M.S.A

Includes Erie County.)

City of Erie

Total area actually reporting
Rale per 100.000 inhabitants

gene-Springfield, Or. M.S.A

Includes Lane County.)
City of:

Eugene - ..-'

Springfield -

Total area actually reporting

Rate per 100,000 inhabitants

ansville, In.-Ky. M.S.A

(Includes Posey. Vanderburgh and
Warnck Counties. In., and
Henderson County, Ky.)

City of Evansville

Total area actually reporting

Estimated total

Rate per 100.000 inhabitants

ill River, Ma.-R.I. M.S.A

(Includes part of Bristol County. Ma.
and Newport County. R.I.)

City of Fall River

Total area actually reporting
Rate per 100.000 inhabitants
u-go-Moorhead, N.D.-Mn. M.S.A.
(Includes Cass County, N.D., and
Clay County, Mn.)
City of:

Fargo

Moorhead

Total area actually reporting
Rate per 100,000 inhabitants

ayetteville, N.C. M.S.A

(Includes Cumberland County.)

City of Fayetteville

Total area actually reporting

Rate per 100.000 inhabitants. .
ayetteville-Springdale, Ar. M.S.A.
(Includes Washington County.)
City of:

Fayetteville

Springdale

Total area actually reporting
Rate per 100,000 inhabitants .,
'itchburg-LeoDiinster, Ma. M.S.A..
(Includes part of Middlesex and
Worchester Counties.)
City of:

Fitchburg ■

Leominster

Total area actually reporting ...
Rate per 100.000 inhabitants

Flint, Mi. M.S.A

(Includes Genesee County.)

City of Fhnt

Total area actually reporting

Estimated total

Rate per 100,000 inhabitants...
See footnotes at end of table.

Populalion

137,132

35.687
I00.(

532,033

471,749
100.0%

68,877

55,287
100.0%

Cnme
Index
total

280,983

119,716
100.0%

276,476

106,738
41,953
100.0%.

275,674

130.091
77.7%;
100.0%

157,922

92.863
100.0%,

142,261

63,908
30,535
100.0%.

255,961

61,902
100.0%.

78,105

36,860
23,631
100.0%

94,205

39,597
34,550
100,0%.

442,456

156,824
99.l%o
100.0%>

Modified
Cnme
Index
total'

2,234

4,787

3,490.8

29,202
30,897
5,807.3

3,397

3,521

5,112.0

5.217

9,234

3,286.3

8,700

3,256

15,656

5,662.7

7.719
10,553
12,536
4.547.4

5.804

8.162

5,168.4

2,952

1.201

4.939

3.471.8

6,699
15,370
6,004.8

1,554

1,173

2,445

3.130.4

1,609

1,413

3,600

3,821.5

21,844
33,893
34,137
7,715.3

Property
crime'

45

233

169.9

4,275
4,430
832.7

163

167

242.5

584

801

285,1

374

130

703

254.3

658

801

909

329.7

553

717

454.0

78

9

119

83.6

800
1,506
588.4

33

113

81

103.7

107

70

226

239.9

3,278
4,243
4,263
963.5

Murder
and non-
negligenl

man-
slaughter

2,189

4,554

3,320.9

24.927
26,467
4,974.7

3,234

3,354

4,869.6

4,633

8,433

3.001.2

8,326

3,126

14,953

5,408.4

7.061

9.752

11.627

4.217.7

5.251

7.445

4,714.4

2.874

1,192

4,820

3,388.1

5,899
13,864
5,416,5

1,521

1.060

2.364

3.026,7

1.502

1.343

3,374

3.581.6

33
36
6.8

7.3

Forcible
rape

4

4

2.5

18,566
29,650
29,874
6,751.9

32
41
41
9.3

Robbery

4

27

19.7

177
197
37.0

15
17

24.7

39

68

24.2

43

27

97

35.1

32

40

49

17.8

25

27

17.1

23

1

29

20.4

49
123
48.1

10

12

14

17.9

25
26.5

199
310
311
70.3

Aggra-
vated
assault

17

67

48.9

865

890

167.3

63

64

92.9

269

312

1 11.0

161

45
248
89.7

143
165
193
70.0

171

188

119.0

12
3

15
10.5

262

457

178.5

12

10

15

19.2

Burglary

24
136
99.2

3,200
3,307
621.6

81
117.6

272

416

148,1

168

58

352

127.3

476

583

653

236.9

353

498

315.3

42

5

74

52.0

483

905

353.6

II

91

52

66.6

29

59

13

54

45

156

47.8

165.6

778

2,269

999

2.893

1,005

2,906

227.1

656.8

Larceny-
theft

433

820

598.0

7.375
7,942
1,492

948

997

1,447.5

1,390
2,365
841.7

1,813

876

3,899

1,410.2

1,629
2.187
2,656
963.5

1,985

2,600

1,646.4

503

249

912

641. 1

1,880

5,045

1.971.0

456

215

797

1.020.4

375

380

934

991.5

7,031

9,915

9,970

2,253.3

1,685

3,549

2,588.0

Motor
vehicle
theft

15,380
16,230
3,050.6

2.107

2,169

3,149.1

2,936

5.570

1,982.3

6.195

2,139

10,427

3,771.4

5,114

7,088

8,323

3,019.1

2,568

3,885

2,460.1

2,260

897

3,708

2,606.5

3.708
7.919
3,093

991

807

1,439

1,842.4

846

2,161

2,293.9

10,616
18,281
18,425
4,164.3

71

185

134.9

2,172
2,295
431.4

179
1
273.0

307

498

177.2

318

HI

627

226.8

318

477

648

235.1

698

960

607.9

HI

46

200

140.6

311

900

351,6

74

38

128

163.9

139

117

279

296.2

919
1,454
1,479
334.3

361

APPENDIX V — Index of Crime, MetropoUtan StatisticaJ Areas, 1983 — Continued

Metropolitan Statistica] Area

Florence, Al. M.S.A

(Includes Colbert and Lauderdale
Counties.)

City of Florence

Total area actually reporting

Estimated total

Rate per 100,000 inhabitants

Florence, S.C. M.S.A

(Includes Florence County.)

City of Rorence

Total area actually reporting

Rate per 100.000 inhabitants

Fort Collins-Loveland, Co. M.S.A

(Includes Larimer County.)
City of:

Fort Collins

Loveland

Total area actually reporting

Rate per 100,000 inhabitants
Fort Lauderdale-HoUywood-Pompano

Beach, Fl. M.S.A

(Includes Broward County.)
City of:

Fort Lauderdale

Hollywood

Pompano Beach

Total area actually reporting

Rate per 100,000 inhabitants

Fort Myers, Fl. M.S.A

(Includes Lee County.)

City of Fort Myers

Total area actually reporting

Rate per 100,000 inhabitants

Fort Pierce, Fl. M.S.A

(Includes Martin and Saint Lucie
Counties.)

City of Fort Pierce

Total area actually reporting

Rate per 100,000 inhabitants

Fort Smith, Ar.-Ok. M.S.A

(Includes Crawford and Sebastian
Counties, Ar., and Sequoyah
County, Ok.)

City of Fort Smith

Total area actually reporting

Rate per 100,000 inhabitants

Fort Walton Beach, Fl. M.S.A

(Includes Okaloosa County.)

City of Fort Walton Beach

Total area actually reporting

Rate per 100,000 inhabitants

Fort Wayne, In. M.S.A

(Includes Allen, De Kalb and Whitley
Counties.)

City of Fort Wayne

Total area actually reporting

Estimated total

Rate per 100,000 inhabitants

Fort Worth-Arlington, Tx. M.S.A

(Includes Johnson, Parker and Tarrant
Counties.)
City of:

Fort Worth

Arlington

Total area actually reporting

Rate per 100,000 inhabitants

Fresno, Ca. M.S.A

(Includes Fresno County.)

City of Fresno

Total area actually reporting

Rate per 100,000 inhabitants

Gadsden, Al. M.S.A

(Includes Etowah County.)

City of Gadsden

Total area actually reporting

Rate per 100,000 inhabitants I

See footnotes at end of table.

Population

138,131

37,917
99.1%
100.0%

117,208

32,133
100.0%

161,383

70,824
32.968
100.0%

Cnme
Index
total

1,115,026

171,952
130,421
57,591
100.0%

228,079

40,884
100.0%

167,402

37,732
100.0%

167,707

72,891
100.0%

122,478

23,232
100.0%

352,904

171,599
92.6%
100.0%

1,139,991

424,651

178,871
100.0%

542,360

230,418
100.0%

104,872

48,726
100.0%

1,968

4,652

4,719

3,416.3

3,147

6,310

5,383.6

4,150

1,690

8,457

5,240.3

19,288

10,546

6,152

76,046

6,820.1

3,853

8.190

3.590.9

4,183
11,445
6,836.8

4,659

6,514

3,884.2

1,799

4,509

3,681.5

13,613
16,365
17,233
4,883.2

45,858
12,219
85,004
7,456.6

25,553
42,476
7,831.7

3,187

4,220 .

4,024.01 I

Modified
Cnme
Index
total'

Violent
crime'

196

202

1462

389

821

700.5

332
187
629
389.

1,605

971

740

7,283

653.2

518

838

367.4

567
1,191
711.5

301

402

239.7

133

347

283.3

660

765

810

229.5

5,104

585

7,113

624.0

1,913
3,656
674.1

302

400

381.4

Property
crime^

1,882

4,456

4,517

3,2701

2,758

5,489

4,683.1

3,818

1.503

7,828

4,850.6

17,683

9,575

5,412

68,763

6,1669

3,335

7,352

3,223.4

3,616
10,254
6.125.4

4,358

6,112

3,644.5

1,666

4,162

3,398.2

Murder
and non-
negligent

man-
slaughter

12,953
15,600
16,423
4,653.7

40,754
11,634
77,891
6,832.6

23,640
38,820
7,157.6

2,885

3,820

3,642.51

Forcible
rape

43

5

4

125

11.2

10

30

13.2

9
16
9.6

6
9

5.4

15
17
17
4.8

112

7

166

14.6

32
68

12.5

6

II

10.5

21

58

49.5

36

14

66

40.9

107

37

35

452

40.5

35.1

46
113

67.5

30

37
22.1

13

39

31.8

91
102
106
30.0

454

75

644

565

172
309
57.0

18

22
21.0

Robbery

20

38

39

28.2

113

202

172.3

15

6

36

22.3

896

424

180

2,905

260.5

186

298

1307

206

296

176.8

78

99

59.0

42
103
84.1

340

357

369

1046

2,020

186

2,603

228.3

984
1,288
237.5

61

71

67.7

Aggra-
vated
assault

62
139
144

104.2

248

551

4701

281

166

525

325.3

559

505

521

3,801

340.9

303

430

188.5

306

766

457.6

187

257

153.2

78

205

167.4

214
289
318
90.1

2,518

317

3,700

324.6

725
1,991
367.1

217

296

282.2

Burglary

499
1,157
1,173
849.2

622

1,638

1,397.5

Larceny-
theft

1,312

3,086

3,127

2,263.8

3,537
3,017.7

Motor
vehicle
theft

806 2,881

287 1,168

1,650 5,891

1,022.4 3.650.3

6,050

2,566

1,543

20,153

1,807.4

746
2,234
979.5

1,050,

3,226

1,927.1

1,029

1,785

1,064.4

406
1,127
920.2

2,189
3,011
3,210
909.6

12,782

2,886

22,673

1,988.9

6,233
12,083
2,227.9

731

994

947.8

9,988

6,272

3,455

42,969

3,853.6

2,472

4,709

2,064.6

2,408

6,584

3.933.0

3,061

3,940

2,349.3

1,155

2.740

2,237.1

10,134
11,783
12,333
3,494.7

24,456

7,754

48.695

4,271.5

15,855
24.273
4,475.4

1,985

2,626

2,504.0

71

213

217

157.1

148

314

267.9

131

48

287

177.8

1,645

737

414

5,641

505.9

117

409

179.3

158

444

265.2

268

387

230.8

105

295

240.9

630

806

880

249.4

3,516

994

6,523

572.2

1,552
2,464
454.3

169

200

190.71

362

•PENDIX V — Index of Crime, Metropolitan Statistical Areas, 1983 — Continued

Metropolitan Statistical Area

Population

inesville, Fl. M.S.A

Includes Alachua and Bradford
Counties.)

City of Gainesville
Total area actually reporting ....
Rate per 100.000 inhabitants.
l»eston-Texas Oty, Tx. M.S.A..
Includes Galveston County.)
City of:

Galveston

Texas City

Total area actually reporting
Rate per 100.000 inhabitants ..

iry-Hammond, In. M.S.A

(includes Lake and Porter Counties.)
City of

Gary

Hammond

Total area actually reporting

Estimated total

Rate per 100.000 inhabitants

ens Falls, N.Y. M.S.A

(Includes Warren and Washington
Counties.)

City of Glens Falls

Total area actually reporting

Estimated total

Rate per 100.000 inhabitants

■and Forks, N.D. M.S.A

(Includes Grand Forks County.)

City of Grand Forks

Total area actually reporting
Rate per 100.000 inhabitants

rand Rapids, Mi. M.S.A

(Includes Kent and Ottawa Counties.)

City of Grand Rapids

Total area actually reporting

Estimated total --■■

Rate per 100.000 inhabitants

reeley, Co. M.S.A

(Includes Weld County.)

City of Greeley

Total area actually reporting
Rate per 100,000 inhabitants

reen Bay, Wi. M.S.A

(Includes Brown County.)

City of Green Bay

Total area actually reporting
Rate per 100.000 inhabitants
Ireensboro — Winston-Salem — High

■oint, N.C. M.S.A

(Includes Davidson. Davie. Forsyth.
Guilford. Randolph. Stokes and
Yadkin Counties.)
City of:

Greensboro

Winston-Salem

High Point

Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Jreenville-Spartanburg, S.C. M.S.A.
(Includes Greenville, Pickens and
Spartanburg Counties.)
City of:

Greenville

Spartanburg

Total area actually reporting

Estimated total

Rate per 100.000 inhabitants

Hagerstown, Md. M.S.A

(Includes Washington County.)
City of Hagerstown
Total area actually reporting
Rate per 100.000 inhabitants
See footnotes at end of table.

185,955

80,677
100.0%

216,058

68.357
44,912
100.0%

Cnme
Inde^
total

1,088,392

152,352
93,745
98.6%

100.0%

110,576

16,029

79.5%
100 0%

68,879

45,608
100.0%

595,167

178,470
99.9%
100.0%

134,058

57,343
100.0%

178,094

89.244
100.0%

883,219

Modified
Crime
Index
total'

6.637
12.795
6.880.7

6.103

3.072

12,997

6.015.5

10.667
5,800
53.076
53,818
4,944.7

447

3.535

4,348

3.932.1

2,126

2,246

3,260.8

16,917
31,175
31,197
5,241.7

5,286

9.097

6.785.9

5.719

8.396

4.714.4

600,564

61.977
46,332
99.6%
100.0%

115,768

34,961
100.0%

161,200

9,782

137.796

12,597

64.975

4,817

99.9%

38.881

100.0%

38.963

4.411.5

5.904

4.391

30.557

30,705

5,112.7

1.737

3.174

2.741.7

Violent
crime"

Property
crime'

783
1.531
823.3

844

323

1.439

666.0

1.832
409
4.742
4.774
438.6

17

212

267

241.5

25

31

45.0

1.994
2.607
2.609
438.4

330

655

488.6

195

244

137.0

947
1.921

485
4.335
4.343
491.7

787

369

3.392

3.409

567.6

141

268

231.5

Murder
and non-
negligent

man-
slaughter

5.854
11.264
6.057.4

5.259

2,749

11.558

5.349.5

8.835

5.391

48.334

49.044

4.506.1

430

3.323

4,081

3.690.7

2,101

2,215

3,215.8

14,923
28,568
28.588
4.803.4

4,956

8,442

6,297.3

5,524

8.152

4.577.4

8.835
10.676

4,332
34,546
34,620
3,919.8

5.117

4.022

27.165

27,296

4.545.1

1.596

2.906

2.510.2

7
13
7.0

41
19.0

66

10

115

115

10.6

Forable
rape

20
25
25
4.2

3
6

4.5

II
17
10
62
62
7.0

50
50
8.3

Robbery

42
109
58.6

82
38.0

228
54
402
404
37.1

I
6

8
7.2

6

8

116

198
308
308
51.8

23

72

53.7

15

20

11.2

43
75
27
186
186
21.1

36
27
197
198
33.0

1
10
8.6

Aggra-
vated
assault

164

265

142.5

290

43

371

171.7

804

248

1.798

1,807

166.0

6

16

36

32.6

6

8

11.6

598

745

746

125.3

39
61

45.5

32

37

20.8

227
281
87
754
755
85.5

170
101
593
597
99.4

48
66

57.0

Burglary

570
1,144
615.2

484

264

945

437.4

734

97

2,427

2,448

224.9

10
190

222
200.8

II

13

18.9

1,178
1.529
1.530
257.1

265

516

384.9

147

185

103.9

666
1.548

361
3.333
3.340
378.2

570

240

2,552

2,564

426.9

91

189

163.3

Larceny-
theft

1,518

3,119

1,677.3

1,666

812

3,694

1,709.7

3,060

1,483

12,498

12,627

1,160.2

103

978

1.166

1,054.5

326

353

512.5

4,482

7.591

7.596

1.276.3

1.056

1.976

1.474.0

752
1.181
663.1

2.205
3.180
1.081
10.273
10,292
1,165.3

1.196
1,030
7,703
7,738
1,288.5

413

779

672.9

Motor
vehicle
theft

4,118

7,694

4,137.6

3,091

1,742

6,937

3,210.7

3,355

2,882

29,275

29,805

2,738.4

296

2,227

2,745

2,482.5

1,668

1,744

2,532.0

9,804
19,847
19,860
3,336.9

3,703

6,111

4,558.5

4,601

6,701

3.762.6

6.255

7.014

3.041

22.657

22,709

2.571.2

3.644
2.822
17.916
18.005
2.998.0

1.120

2,001

1,728.5

218

451

242.5

502

195

927

429.1

2.420
1.026
6.561
6.612
607.5

31
118

170
153.7

107

II

171.3

637
1.130
1.132
190.2

197

355

264.8

171

270

151.6

375

482

210

1,616

1.619

183.3

277

170

1.546

1,553

258.6

63

126

108.8

363

APPENDIX V — Index of Crime, MetropoUtan Statistical Areas, 1983 — Continued

Metropolitan Statistical Area

Hamilton-Middletown, Oh. M.S.A...
(Includes Butler County.)
City of:

Hamilton

Middletown

Total area actually repoiling

Estimated total

Rale per 100,000 inhabitants

Harrisburg-Lebaoon-Carlisle, Pa.

M.S.A

(Includes Cumberland. Dauphin,
Lebanon and Perry Counties.)
City of:

Harrisburg

Lebanon

Carlisle

Total area actually reporting

Rate per 100,000 inhabitants

Hartford, Ct. M.S.A

(Includes part of Hartford, Litchfield,
Middlesex, New London and
Tolland Counties.)

City of Hartford

Total area actually reporting

Rate per 100,000 inhabitants

Hickory, N.C. M.S.A

(Includes Alexander, Burke and
Catawba Counties.)

City of Hickory

Total area actually reporting

Estimated total

Rate per 100,000 inhabitants

Honolulu, Hi. M.S.A

(Includes Honolulu County.)

Total area actually reporting

Rate per 100.000 inhabitants

Houston, Tx. M.S.A

(Includes Fort Bend, Harris, Liberty,
Montgomery and Waller Counties.)

City of Houston

Total area actually reporting

Rate per 100,000 inhabitants

Huntington-Ashland, W.V.-Ky.-Oh.

M.S.A

(Includes Cabell and Wayne Counties,
W.V., Boyd, Carter and Greenup
Counties, Ky. and Lawrence
County, Oh.)
City of:

Huntington

Ashland

Total area actually reporting

Estimated total

Rate per 100,000 inhabitants

Huntsville, AI. M.S.A

(Includes Madison County.)

City of Huntsville

Total area actually reporting

Rate per 100,000 inhabitants

Indianapolis, In. M.S.A

(Includes Boone, Hamilton, Hancock,
Hendricks, Johnson, Marion,
Morgan and Shelby Counties.)

City of Indianapolis

Total area actually reporting

Estimated total

Rate per 100,000 inhabitants

Iowa City, la. M.S.A

(Includes Johnson County.)

City of Iowa City

Total area actually reporting

Rate per 100,000 inhabitants

Jackson, Mi. M.S.A

(Includes Jackson County.)

City of Jackson

Total area actually reporting

Estimated total

Rate per 100,000 inhabitants

See footnotes at end of table.

Population

257,824

62,723
43,608
96.6%
100.0%

559,079

53,426

25,856

18,458

100.0%

731,779

138,259
100.0%

Crime
Inde:i
total

210,362

21,307
99.5%
100.0%

808,092

100.0%

3,022,996

1,728.783
100.0%

339,687

64,753
27,581
91.2%
100.0%

201,737

145,884
100.0%

1,165,919

463,455
87.9%
lOO.I

81,470

50,440
100.0%

148,707

39,049
93.9%
100.0%

4,899
3,300
13,416
13,754
5,334.6

5,649

1,077

823

19,556

3,497.9

18,987
40,524
5,537,7

2,043

7,009

7,073

3,362.3

46,228
5,7206

151,566
214,529
7,096.6

Modified
Crime
Index
total'

5,044

1,840

12.272

13,246

3,899.5

11,212
12,091
5,993.4

31,302
54,844
59,923
5,139.6

2,404

4.378

5,373.8

4,170

7.168

7,708

5,183.3

Violent
crime^

492
175
969
990
384,0

791

32

55

1,373

245.6

2,778
3,747
512.0

229

929

935

444.5

2,136
264.3

15,919

20,923

692.1

Property
cnme'

500

187

1,202

1,270

373.9

578

676

335.1

4,139
5,308
5,560
476.9

128

232

284.8

569

813

857

576.3

4,407
3,125
12,447
12,764
4,9507

4,858

1,045

768

18.183

3,252.3

16,209
36,777
5,025.7

1.814

6,080

6,138

2,917,8

44,092
5,456,3

135,647
193,606
6,404.4

Murder
and ncn-
negligent

man-
slaughter

4,544

1,653

11,070

11,976

3,525.6

10,634
11,415
5,658.4

27,163
49,536
54,363
4,662.7

2,276

4.146

5.089.0

3.601

6.355

6,851

4,607.0

4
3
11
11
4.3

15
1
3

29
5.2

16
28
3.8

1
13
13
6.2

45
5,6

561
719
23.8

Forcible
rape

IS

22

10.9

56
62
65

5.6

5

10
10
6.7

89
34.5

65

3

3

115

20.6

79
162
22.1

7

30

30

14.3

249
30.

1,179
1,610
53.3

Robbery

26

2

55

03

18.5

46

52

25.8

502
43.1

20

32

39.3

39

64

67

45.1

132

63

253

259

100.5

387

9

28

548

98.0

1,667
1,958
267.6

48

79

80

38.0

1,243
153.8

10,270
11,912
394.0

Aggra-
vated
assault

194
26
285
302
88.9

183
190
94.2

1,821
2,241
2,306
197.8

15

21

25.8

69
96

108

72.6;

i|7

92

617

631

244.7

324
19
21

681
121.8

1,016
1,599
218.5

173

807

812

386,0

599
74,1

3,909
6,682
221.0

Burglary

273
158
845
887
261,1

331

412

204,2

l,i
2,524
2,687
2305

93

178

218.5

456
643

672
451.9

1,235

676

3,028

3,096

1.200.

1,794

210,

189

4,853

868.0

4,531

9,667

1,321.0

470
1,865

10,044
1,242.9

41,613
60.742
2,009.3

Larceny-
theft

1,286

505

3,310

3,563

1,048.9

2,488

2,733

1.354.7

9,235
14,435
15,512
1.3305

339

723

887.4

1,018

3,032
2,302
8,871
9,094
3,527.2

2,843

794

559

12,624

2,258.0

9,444
23,296
3,183.5

1.255
3,952
3,993

Motor
vehicle
theft

l,i

30,195
3,736.6

63.235
94,361
3,121.4

2,964
1,068
6,887
7,48
2,202.3

7,709

8,189

4,059.2

15,123
30,238
33.583
2,880.4

1,857

3.292

»,040.8

2.489

1.806 4,324

1,927 4,643

1,295.81 3,122.2,

140
147

548

574

222.6

221
41
20

706
126.3

2.234
3,814
521.2

89

263

265

126.0

3,853
476.8

30,799
38,503
1,273.7

294

80

873

932

274.4

437

493

244.4

2,805
4.863
5.268
451.8

80

131

160.8

94

225

281

189.0

364

'PENDIX V — Index of Crime, Metropolitan Statistical Areas, 1983 — Continued

Metropolitan Statistical Area

Population

:kson, Ms. M.S.A

Includes Hinds. Madison and Rankin
Counties.)

City of Jackson

Total area actually reporting

Estimated total

Rate per 100.000 inhabitants

cksonville, Fl. M.S.A

Includes Clay. Duval, Nassau and
Saint Johns Counties.)

City of Jacksonville

Total area actually reporting

Rate per 100.000 inhabitants

cksonville, N.C. M.S.A

;includcs Onslow County.)

City uf Jacksonville

Total area actually reporting

Estimated total

Rate per 100.000 inhabitants

nesville-Beloit, Wi. M.S.A

(Includes Rock County.)
City of:

Janesville ■

Beloit

Total area actually reporting
Rate per 100.000 inhabitants

rsey City, N.J. M.S.A

(Includes Hudson County.)

City of Jersey City

Total area actually reporting

Rate per 100,000 inhabitants

ihiison City-Kingsport-Bristol, Tn.-

1. M.S.A

(Includes Carter, Hawkins, Sullivan,
Unicoi and Washington Counties,
Tn., Bristol City and Scott and
Washington Counties, Va.)
City of:

Johnson City

Kingsport

Bristol, Tn

Bristol, Va

Total area actually reporting

Estimated total

Rate per 100,000 inhabitants

>hnstowti. Pa. M.S.A

(Includes Cambria and Somerset
Counties.)

City of Johnstown

Total area actually reporting

Estimated total

Rale per 100.000 inhabitants

oliet, II. M.S.A

(Includes Grundy and Will Counties.)

City of Joliet

Total area actually reporting
Rate per 100.000 inhabitants

oplin. Mo. M.S.A

(Includes Jasper and Newton
Counties )

City of Joplin

Total area actually reporting

Rale per 100,000 inhabitants

Cankakee, II. M.S.A

(Includes Kankakee County.)

City of Kankakee

Total area actually reporting
Rate per 100.000 inhabitants
See footnotes at end of table.

368,435

206,821
77.2%
100.0%

804,936

605.934
100.0%

116,736

18,296
99.6%
100.0%

Cnme
Index
total

138,497

51,732
35,428
100.0%

564,997

226,583
100.0%

447,235

14,768
16,604
19,291
5,235.9

42,330
52,344
6,502.9

2,445

4,569

4,600

3,940.5

2,920

3,500

7,690

5,552.5

17,267
35,683
6,315.6

40,729

2,319

31,485

1.923

24,718

1,149

19.887

899

91.2%

10,879

100.0%

11,774

2.632.6

265,766

35,625
97.2%
100.0%

377,685

79,066
100.0%

129,098

39,427
100.0%

103,698

30,155
100.0%

Modified
Crime
Index
total'

1,619

4,485

4,683

1,762.1

6,849
16,634
4,404.2

3,130

5,253

4,069.0

2,770

4.751

4,581.6

Violent
cnme'

1,058
1,191
1,394

378.4

5,670
6,593
819.1

387

720

724

620.2

73

168

295

213.0

3,375
4,970
879.7

Property

13,710
15,413
17,897
4,857.6

36,660
45,751
5,683.8

90
107
44
39
639
699
156.3

279
556
569

214.1

774
1,321
349.8

83

266

206.0

238

383

369.3

Murder
and non-
negligent

man-
slaughter

2,229

1,816

1,105

860

10,240

11,075

2,476.3

1,340

3,929

4,114

1,548.0

6,075
15,313
4,054.4

3,047

4,987

3,863.0

2,532

4,368

4,212.2

39
46
51

13.8

82

96

11.9

Forcible
rape

2,058

1

3,849

6

3,876

6

3,3203

5.1

2,847

2

3,332

7,395

3

5,339.5

2.2

13,892

37

30,713

60

5,436.0

10.6

9
10

2.2

9
34
9.0

Robbery

HI
121

133
36.1

411
496
61 6

11

24

24

20.6

5

10

21

15.2

138
221
39.1

12
6
2
7

57

63

14.1

6

32

33

12.4

28

59

15.6

6

9

7.0

19

29

28.0

524

544

588

159.6

2,288
2,491
309.5

76

128

129

110.5

1

48

72

52.0

2,227
2,830
500.9

Aggra-
vated
assault

50

27

9

9

144

158

35.3

46

65

69

26.0

231
313
82.9

41

54

41.8

108

133

128.3

384

480

622

168.8

2,889
3,510
436.1

299

562

565

484.0

48

110

199

143.7

973
1,859
329.0

Burglary

27

72

32

23

429

468

104.6

225

455

463

174.2

506
915

242.3

35

199

154.1

106

215

207.3

Larceny-
theft

4,376

4,895

5,1

1,592.7

12,509
14,719
1,828.6

448
1,111
1,118

957.7

721

698

1,757

1,268.6

4,416

8,681

1,536.5

507

350

261

182

2,807

3,120

697.6

445
1.386
1.430
538.1

1.470

3.867

1.023.9

727

1.353

1.048.0

606

1,180

1,137.9

Motor
vehicle
theft

8,626

9.716

11,080

3,007.3

22.634
29,085
3.613.3

1,497

2,525

2,544

2,179.3

2,054

2,542

5,434

3,923.6

6,487
15,258
2,700.5

1,544

1,324

805

648

6,751

7,203

1,610.6

819
2,312
2,437
917.0

4,075
10,238
2,710.7

2,171

3,415

2,645.3

1,775

2,895

2,791.8

Arson'

708

802

949

257.6

1.517
1.947
241.9

113
213
214

183.3

72

92

204

147.3

2.989

6,774

1,198.9

178

142

39

30

682

752

168.1

76
231
247
92.9

530
1,208
319.8

149

219

169.6

15

293

282.6

365

APPENDIX V — Index of Crime, Metropolitan Statistical Areas, 1983 — Continued

Metropolitan Statistical Area

Kansas City, Mo.-Ks. M.S.A

(Includes Cass, Clay, Jackson,
Lafayette, Platte and Ray Counties,
Mo., and Johnson, Leavenworth,
Miami and Wyandotte Counties.
Ks.)
City of:

Kansas City, Ks.

Kansas City, Mo

Total area actually reporting

Estimated total

Rate per 100,000 inhabitants

Kenosha, Wi. M.S.A

(Includes Kenosha County.)

City of Kenosha

Total area actually reporting

Rate per 100.000 inhabitants

Killeen-Temple, Tx. M.S.A

(Includes Bell and Coryell Counties.)
City of:

Killeen

Temple

Total area actually reporting

Rate per 100,000 inhabitants

KnoxTille, Tn. M..S.A

(Includes Andersor Blount, Grainger,
Jefferson, Knox, Sevier and Union
Counties.)

City of Knoxville

Total area actually reporting

Estimated total

Rate per 100,000 inhabitants

Kokomo, In. M.S.A

(Includes Howard and Tipton
Counties.)

City of Kokomo

Total area actually reporting

Estimated total

Rate per 100,000 inhabitants

La Crosse, Wi. M.S.A

(Includes La Crosse County.)

City of La Crosse

Total area actually reporting

Rate per 100.000 inhabitants

Lafayette, La. M.S.A

(Includes Lafayette and Saint Martin
Parishes.)

City of Lafayette

Total area actually reporting

Estimated total

Rate per 100,000 inhabitants

Lafayette, In. M.S.A

(Includes Tippecanoe County.)

City of Lafayette

Total area actually reporting

Rate per 100,000 inhabitants

Lake Charles, La. M.S.A

(Includes C^alcasieu Parish.)

City of Uke Charles

Total area actually reporting

Rate per 100,000 inhabitants

Lakeland-Winter Haven, Fl. M.S.A. ..
(Includes Polk County.)
City of:

Lakeland

Winter Haven

Total area actually reporting

Rate per 100,000 inhabitants

Lancaster, Pa. M.S.A

(Includes Lancaster County.)

City of Lancaster

Total area actually reporting

Rate per 100,000 inhabitants I

See footnotes at end of table.

Population

1,456,560

164,741

453,128

97 9%

100.0%

Cnme
Index
total

125,240

78,976
100.0%

237,569

51,206
47,165
100.0%

581,440

187,838
90.6%
100.0%

103,810

47,272
95.1%
100.0%

91,439

48,914
100.0%

199,439

84,025
99.7%
100.0%

120,927

43,027
100.0%

176,832

79,914
100.0%

359,358

54,327
23,591
100.0%

364,116

54.954
100.0%

16,671
45,388
93,291
94,159
6,464.5

5,498

7,422

5,926.2

4,098

2,091

8,959

3.771.1

9,994
19,294
20,416
3,511.3

2,442

3,161

3,399

3,274.3

3,755

4,836

5,288.8

7,380

9,659

9,690

4,858.6

2,438

4,380

3,622.0

4,679
10,810
6.113 1

5.049

2,219

22,901

6.372.8

3.462

9,305

2,555.5

Modified
Crime
Index
total'

Properly
crime^

2,012
7,452
11,338
11,390
782.0

277

362

289.0

313

107

696

293.0

957
1,460
1,538
264.5

98
94.4

78
85.3

721
1,049
1,052
527.5

63

139

114.9

250

948

536.1

437

238

2,658

739.7

176

476

130.7

14,659
37.936
81.953
82.769
5,682.5

5,221

7,060

3,637.2

3.785

1,984

8,263

3,478.1

9,037
17,834
18,878
3,246.8

2,371

3,073

3,301

3,179.8

3.707

4.758

5,203.5

6,659

8,610

8,638

4,331.1

2,375

4,241

3,507.1

4,429

9,862

5,577.0

4,612

1,981

20,243

5.633.1

3.286

8,829|

2.424.81

Murder
and non-
negligent

man-
slaughter

43
106
173
174
11.9

7
5.6

19
29
31
5.3

2
2.2

20

20

10.0

12
6.8

7

2

30

8.3

Forcible
rape

142
425
682
686
47.1

38

49

39.1

60

7

84

35.4

146
155
26.7

9

13

14

13.5

5

6

6.6

44

83

83

41.6

6

14

11.6

13

56

31.7

35

12

207

57.6

Robbery

649
2.876
3,894
3,905
268.1

173

196

156.5

110

70

212

89.2

370
526
543
93.4

30

38

41

39.5

6

7
7.7

197
240
241
120.

23

32

26.5

97

185

104.6

153

48

478

133.0

97
137
37.6

Aggra-
vated
assault

1,178
4.045
6,589
6,625
454.8

61
110

87.8

135

25

380

160.0

485

759

809

139.1

31

36

42

40.5

37

63

68.9

472

706

708

355.0

33

91

75.3

132

695

393.0

242

176

1,943

540.7

62
291
79.9

Burglary ^^^

5,134
11,636
24,728
24,974
1,714.6

1.288

1,754

1,400.5

2,984

6.143

6,570

1,130.0

517

719

759

731.1

630

797

871.6

1,606

2,466

2,472

1,239.5

762

1,282

1,060.1

1,058

2,816

1,592.5

1,214

448

5,611

1,561.4

934
2,181
599.0

8,323
23,244
51,328
51,832
3,558.5

3,644

4,877

3.894. 1

1,221 2,387

438 1.455

2,501 5,366

1.052.7 2,258.7

Motor
vehicle
thefl

4,768

9.572

10,096

1,736.4

1,741

2.204

2,376

2,288.8

2,995

3,830

4,188.6

4,745

5,648

5,668

2,842.0

1,507

2,771

2,291.5

3.191
6,601

3,732.9

3,229

1,462

13,676

3,805.7

2,217

6,237

1,712.9

1,202
3,056
5,897
5,963
409.4

289
429

342.5

177

91

396

166.7

1,285
2,119
2,212
380.4

113

150

166

159.9

82

131

143.3

308

496

498

249.7

155.5

180

445

251.7

169

71

956

265.0

135

411

112.9

366

VPPENDIX V — Index of Crime. Metropolitan Statistical Areas, 1983 — Continued

Metropolitan Statistical Area

Lansing-East Lansing, Mi. M.S.A

(Includes Clinton, Eaton and Ingham
Counties.)
City of:

Lansing

East Lansing

Total area actually reporting

Estimated total

Rate per 100.000 inhabitants

Laredo, Tx. M.S.A

(Includes Webb County.)

City of Laredo

Total area actually reporting
Rate per 100.000 inhabitants

Las Vegas, Nv. M.S.A

(Includes Clark County.)

City of Las Vegas

Total area actually reporting
Rate per 100,000 inhabitants

Lawrence, Ks. M.S.A

(Includes Douglas County.)

City of Lawrence

Total area actually reporting

Rate per 100.000 inhabitants
Lawrence-Haverhill, Ma.-N.H.

M.S.A

(Includes part of Essex County. Ma ,
and part of Rockingham County,
N.H.)
City of:

Lawrence

' Haverhill

Total area actually reporting

Estimated total

Rate per 100,000 inhabitants

Lawton, Ok. M.S.A

(Includes Comanche County.)

City of Lawton

Total area actually reporting
Rale per 100,000 inhabitants

Lewiston-Aubum, Me. M.S.A

(Includes part of Androscoggin
County.)
City of:

Lewiston

Auburn

Total area actually reporting
Rate per 100,000 inhabitants...

Lexington-Fayette, Ky. M.S.A

(Includes Bourbon, Clark, Fayette,
Jessamine, Scott and Woodford
Counties.)

City of Lexington

Total area actually reporting

Estimated total

Rate per 100,000 inhabitants .

Lima, Oh. M.S.A

(Includes Allen and Auglaize
Counties.)

City of Lima ■■

Total area actually reporting...

Estimated total

Rate per 100,000 inhabitants

Lincoln, Mb. M.S.A

(Includes Lancaster County.)

City of Lincoln

Total area actually reporting
Rate per 100,000 inhabitants
See footnotes at end of table.

Population

408,701

123,606

47,347
99.4%
100.0%

109,928

101,266

100.0%

Cnme
Index
total

514,607

429,080
100.0%

68,944

53,553
100.0%

332,196

63,235
47,131
97.3%
100.0%

123,044

87.609
100.0%

101,686

41,366
23,589
100.0%

321,719

207,126
88.9%
100.0%

154,316

47,262
95.0%
100.0%

196,856

175,482
100.1

Modified
Crime
Index
total'

9,965

1.324

21,710

21.864

5.349.6

7,258

7,883

7,171.1

35,225
41,138
7,994.1

3,597

4,802

6,965.1

4,503
2.706
14,389
14,711
4,428.4

5,436

5,753

4,675.6

2,761

1,126

4,831

4,750.9

13,826
17,657
18.981
5,899.9

4,294

7,734

8,037

5,208.1

9,521
10,815
5.493.9

Properly
crime^

Murder
and non-
negUgent

man-
slaughter

914

47

1,426

1.439

352.1

485

513

466.7

3,564
4,309
837.3

216

286

414.8

521

303

1,119

1,145

344.7

630

694

564.0

998
1,230
1.322
410.9

412

584

603

390.8

464

487

247.4

9,051

1,277

20,284

20,425

4,997.5

6,773

7,370

6,704.4

31.661
36,829
7,156.7

3,381

4,516

6,550.2

3,982
2.403
13,270
13.566
4.083.7

4.806

5.059

4.111.5

140

2.621

33

1.093

191

4,640

187.8

4,563.1

12,828
16,427
17,659
5,489.0

3,882

7,150

7,434

4,817.4

9,057
10,328
5,246.5

Forcible
rape

10
10
9.1

74

84

16.3

3

3

4.4

14

16

13.0

1.0

12
20
22
6.8

Robbery

76

8

167

168

41 1

32

37

33.7

244
307
59.7

17

21

30.5

48

49

39.8

90
112
120

37.3

23

40

41

26.6

83

90

45.7

Aggra-
vated
assault

247
15
383
387
94.7

124

127

115.5

1.985
2,234
434.1

136
61

253
259
78.0

167

174

141.4

34

7

42

41.3

349

388

412

128.1

126

160

165

106.9

68

71

36.1

Burglary

586

24

869

877

214.6

319

339

308.4

1,261
1,684
327.2

144

206

298.8

358
230
811
830
249.9

401

455

369.8

100

21

137

134.7

547

710

768

238.7

260

381

394

255.3

Larceny-
theft

311

323

164.1

2,914

283

5,710

5,744

1.405.4

2.153

2,403

2,186.0

11,250
13,263
2,577.3

792

1,136

1,647.7

1,292

849

4,048

4,131

1,243.5

1,490

1,596

1,297.1

723

237

1,272

1.250.9

3,708

4.470

4.798

1,491.4

984

1,753

1,814

1,175.5

1,665
1,891
960.6

Motor
vehicle
theft

5,854

958

13,900

13,991

3,423.3

4,248

4,556

4.144.5

17,611
20,449
3,973.7

2,389

3.142

4,557.3

1,447
1,142
6,588
6,749
2,031.6

3,003

3,133

2,546.2

1,819

820

3,211

3,157.8

8,407
11.118
11.950
3.714.4

2,805

5,200

5,400

3,499.3

7,071

8,087

4,108.1

283

36

674

690

168.8

372

411

373.9

2,800
3,117
605.7

200

238

345.2

1,243
412'
2,634
2,686
808.6

313

330

268.2

79

36

157

154.4

713

839

911

283.2

93

197

220

142.6

321

350

177.8

367

APPENDIX V — Index of Crime. Metropolitan Statistical Areas, 1983 — Continued

Metropolitan Statistical Area

Little Rock-North Little Rock, Ar.

M.S.A

(Includes Faulkner. Lonoke, Pulaski
and Saline Counties.)
City of:

Little Rock

Nonh Little Rock

Total area actually reporting

Rate per 100,000 inhabitants

Longview-MarshalL Tx. M.S.A

(Includes Gregg and Harrison
Counties.)
aty of:

Longview

Marshall

Total area actually reporting

Rate per 100,000 inhabitants

Lorain-Elyria, Oh. M.S.A

(Includes Lorain County.)
City of:

Lorain

Elyria

Total area actually reporting

Estimated total

Rate per 100,000 inhabitants
Los Angeles-Long Beach, Ca. M.S.A
(Includes Los Angeles County.)
City of

Los Angeles..

Long Beach

Total area actually reporting

Rate per 100,000 inhabitants

LouisTille, Ky.-In. M.S.A

(Includes Bullitt, Jefferson, Oldham
and Shelby Counties, Ky., and
Clark, Floyd and Harrison Counties,
In.)

City of Louisville

Total area actually reporting

Estimated total

Rate per 100,000 inhabitants

Lubbock, Tx. M.S.A

(Includes Lubbock County.)

City of Lubbock

Total area actually reporting

Rate per 100.000 inhabitants

Lynchburg, Va. M.S.A

(Includes Lynchburg City and
Amherst and Campbell Counties.)

City of Lynchburg

Total area actually reporting ....
Rate per 100.000 inhabitants ..

Madison, Wi. M.S.A

(Includes Dane County.)

City of Madison

Total area actually reporting ....

Estimated total

Rate per 100,000 inhabitants. .. .

Manchester, N.H. M.S.A

(Includes part of Hillsborough.
Merrimack and Rockingham
Counties.)

City of Manchester

Total area actually reporting

Rate per 100,000 inhabitants

Mansfield, Oh. M.S.A

(Includes Richland County.)

City of Mansfield

Total area actually reporting

Estimated total

Rate per 100,000 mhabitants

See footnotes at end of table.

PopiJation

483,659

156,882
65,630
100.0%

171,809

67,203
27,436
100.0%

Crime
Index
total

267,310

74,436

56,928

99.5%

100.0%

74>63,952

3.158,688
381,798
100.0%

968,840

304,254
91.1%
100.0%

234,314

193,275
100.0%

147,402

69,733
100.0%

318,698

172,180
95.9%
100.0%

131,603

94,695
100.0%

130,959

53,802
98.7%
100.0%

17.665

4,610

29,883

6,178.5

4,870

1,547

9,408

5,475.8

3,229
2.198
8,769
8,818
3.298.8

307,511

30,334

604,413

7,589.4

19,216
43,362
46,352
4,784.3

17,647
19,574

8,353.7

3,675

4,838

3.282.2

12,486
17,712
18,304
5,743.4

5,616

6,713

5.100.9

4,417

6,748

6,814.

5.203.2 1 1

Modified
Crime
Index
total'

Property
crime^

2.069

480

3,037

627.9

356

167

769

447.6

233
177
773
776
290.3

53,435

4,679

97,415

1,223.2

2,124
3,528
3,705
382.4

1,709
1,805
7703

376

460

312.1

433

617

634

198.9

139

185

140.6

575

762

766

584.9

15,596

4,130

26.846

5,550.6

4,514

1,380

8,639

5,028.3

2,996
2,021
7,996
8,042
3.008.5

254.076

25,655

506,998

6,366.2

17,092
39,834
42,647
4,401.9

15.938
17,769
7,583.4

3,299

4.378

2.970.1

12,053
17,095
17,670
5,544.4

5,477

6.528

4,960.4

3,842

5,986

6,048

4,618.2

Murder
and non-
negligent

man-
slaughter

Forcible
rape

31

5

51

10.5

1

25
14.6

3

10
16
16
6.0

820

60

1,348

16.9

44
66
68
7.0

35

38

16.2

6

6

4.6

6

6,

6
4.6l

162

38

259

53.6

48

1

68

39.6

17
1

50

50

18.7

2,494

246

4,849

60.9

83
243
257
26.5

125
129
55.1

15

23

15.6

81
128
130
40.8

17

18

13.7

23
33
33

25.2

Robbery

684

150

929.

192.1

152

30

229

133.3

87
60
194
195
72.9

29,243
3,101

49,282
618.8

1,375
1,768
1,814
187.2

303

316

134.9

69

78
52.9

162
178
182
57.1

67

73

55.5

114

137

138

105.41

Aggra-
vated
assault

Burglary

1,192

287

1,798

371.7

148

135

447

260.2

126

89

513

515

192.7

20,878
1,272

41,936
526.6

622
1,451
1,566
161.6

1,246
1,322
564.2

283

347

235.4

185
303
314
98.5

49

66.9

432

586

589

449.8

Larceny-
theft

4,928

973

8,063

1,667.1

1,321

363

2,643

1.538.3

1,207
1,002
3,145
3,155
1,1803

79,691

7.840

165,432

2,077.3

6,193
11,888
12,609
1,301.5

5.139

5,741

2,450 1

710
1.023
694.0

2,678

3,773

3,884

1,218.7

1,397

1,649

1,253.0

1,288

1,871

1,884

1.438.6

Motor
vehicle
theft

9,651

2,894

17,071

3,529.6

2,932

946

5,444

3,168.6

1,615

829

4,297

4,329

1,619.5

125.276

13.601

255.331

3,206. 1

9,603
25,261
27,125
2,799.7

10,030
11,196

4.778.2

2,470

3,197

2,168.9

9,016
12,815
13,262
4,161.3

3,736

4.465

3,392.8

2,377

3.856

3,900

2,978.0

1,017

263

1,712

354.0

261
71

552
321.3

174
190
554
558
208.7

49,109

4,214

86,235

1,082.8

1,296
2,685
2,913
300.7

769

832

355.1

119

158

107.2

359

507

524

164.4

344

414

314.6

177

259

264

201.6

368

APPENDIX V — Index of Crime, Metropolitan Statistical Areas, 1983 — Continued

Metropolilan Statistical Area

McAllcn-Edinburg-Mission, Tx.

M.S.A

(Includes Hidalgo County.)
City of:

McAUen

Edinburg ,

Mission

Total area actually repoiling
Rate per 100,000 inhabitants .

Medford, Or. M.S.A

(Includes Jackson County.)

City of Medford

Total area actually reporting
Rale per 100,000 inhabitants .
Melbourne-Titusville-Palm Bay, Fl,

M.S.A

(Includes Brevard County.)
City of:

Melbourne

Titusville -

Palm Bay

Total area actually reporting
Rate per 100,000 inhabitants

Memphis, Tn.-Ar.-Ms. M.S.A

(Includes Shelby and Tipton Counties,
Tn., Crittenden County, Ar , and
De Soto County, Ms.)

City of Memphis

Total area actually reporting

Estimated total
t Rate per 100,000 inhabitants

Miami-Hialeah, Fl. M.S.A

(Includes Dade County.)
City of:

Miami

Hialeah

Total area actually reporting
Rate per 100.000 inhabitants
Middlesex-Somerset-Hunterdon, N.J.

M.S.A

(Includes Hunterdon, Middlesex and
Somerset Counties).

Total area actually reporting
Rate per 100,000 inhabitants

Middletown, Ct. M.S.A

(Includes part of Middlesex County.)

City of Middletown

Total area actually reporting

Rate per 100,000 inhabitants

Midland, Tx. M.S.A

(Includes Midland County.)

City of Midland

Total area actually reporting
Rate per 100,000 inhabitants

Milwaukee, Wi. M.S.A

(Includes Milwaukee, Ozaukee,
Washington and Waukesha
Counties.)

City of Milwaukee

Total area actually reporting

Estimated total

Rate per 100.000 inhabitants
Miimeapolis-Saint Paul, Mn.-Wi.

M.S.A

(Includes Anoka, Carver. Chisago.
Dakota. Hennepin. Isanti, Ramsey,
Scott, Washington and Wright
Counties, Mn., and Saint Croix
County, Wi.)
City of:

Minneapolis

Saint Paul

Total area actually reporting
Rate per 100,000 inhabitants

Mobile, Al. M.S.A

(Includes Baldwin and Mobile
Counties.)

City of Mobile

Total area actually reporting ....
Rate per 100,000 inhabitants ..
See footnotes at end of table.

Population

310,546

72,007
26,331
24,833
100.0%

134,024

40.284
100.0%

Crime
Index
total

301,938

51,334
35,429
20,110
100.0%

937,219

654,883
94.4%
100.0%

1,755,968

374,769
160.334
100.0%

899,380

100.0%

58,681

39,569
100.0%

91,338

78,000
100.0%

1,413,842

643,473
99.9%
100.0%

2,175,234

377,850
273,913
100.0%

451,045

204.448
100.0%

Modified
Cnme
Index
total'

4,824

1,379

1,675

16,159

5,203.4

3,522

6,538

4,878.2

3.960

2,614

1,097

18.245

6,042.6

55,222
62,594
64,322
6.863.1

49,799
10,452
167,041
9,512.8

32.029
3,561.2

1,785

2,377

4,050.7

4,477

5,693

6,232.9

47.408
75,834
75,867
5,366.0

34,948
21,899
1 14,092
5,245.0

19,731
30,018
6,655.2

Violent
crime"

Property
crime^

217
11
105
851
274.0

92

250

186.5

407

225

73

1,688

559.1

7.564
8.055
8,186

873.4

9,784

1.185

26,446

1.506,1

1,975
219.6

92
126

214,7

425

533

583.5

3,720
4,501
4,502
318.4

3.487
1,820
6.612
304.0

2,225
3,502
776,4

Murder
and non-
negllgenl

man-
slaughter

4,607
1,261
1,570
15,308
4,929.4

3,430

5,288

4,691.7

3.553

2,389

1,024

15,557

5,483.5

47,658
54.539
56,136
5,989.6

40,015

9,267

140,595

8,006.7

30,054
3,341.6

1,693

2,251

3,836.0

4,052

5,160

5,649.3

43,688
71.333
71,365
5,047.6

31.461
20,079
107,480
4,941.1

17,506
26.515
5,878.8

21
5.8

Forcible
rape

1
14
4.5

127
139
143
15.3

144

12

390

22.2

51
59
59

4.2

Robtiery

12

2

1

45

14.5

20

39

29.1

21

9

6

115

38.1

763
81
825
88,0

365

23

934

53.2

127
14.1

14

17

29,0

36

44

48.2

235
305
305
21.6

316
220
741
34.1

84
160
35.5

Aggra-
vated
assault

54

7

15

148

47.7

30

45
33.6

66

49

18

385

127

4,493
4,661
4,689
500,3

4,719

458

11,750

569,1

503
67.0

28

39

56,5

75

92

100.7

2,198
2,419
2,419
171,1

2,001

581

3,075

141.4

790
1,003
222.4

136

108

89

637

205.1

42

166

123,9

Burglary

319
167

1.173
388.5

2.181
2,437
2,529
259.8

4,555

692

13,372

761.5

1.227
136.4

50

57

114.2

309

390

427.0

1.235
1,718
1,719
121.5

1,154

907

2.751

126.5

1,315
2,286
506.8

Larceny-
Ihefl

1,281
358
533

5,741
1,848,7

771
1,504
1,196.

940

829

357

5,044

1,670,5

18,224
19,868
20.485
2,185.7

9,984

1,863

37.948

2,161,1

7,559
840.5

395

529

901.5

1,654

2,099

2,298.1

8,873
14,535
14,544
1,028.7

10,887

8,005

31,952

1,468.9

5,370

8,617

1,910.5

Motor
vehicle
theft

2,937

841

999

8,672

2.792,5

2,521

4,399

3,282.2

2,457

1,456

630

10,698

3,543.1

23,844
28,477
29,353
3.133.0

24,729

6.026

86,661

4,935.2

19,700
2,190.4

1,171

1,546

2,634.6

2,052

2,636

2,886.0

30,216
51,192
51,213
3,622,3

18,416
11,024
69,353
3,188,3

11,264
15,607
3,681.9

389

52

38

895

288.2

138

285

212.5

156

104

37

815

259.9

5,590
6,194
6,288
670.9

5,302

1,378

15,986

910.4

2,795
310.8

127

175

299.9

345

425

455.3

4,599
5,506
5,608
396.6

2.158
1,050
6,175
283.9

872
1,292
286,4

369

APPENDIX V — Index of Crime. MetropoUtan Statistical Areas, 1983 — Continued

Metropolitan Statistical Area

Modesto, Ca. M.S.A

(Includes Stanislaus County.)

City of Modesto

Total area actually reporting ..
Rate per 100,000 inhabitants

Monmouth-Ocean, N.J. M.S.A

(Includes Monmouth and Ocean
Counties.)

Total area actually reporting ....
Rate per 100,000 inhabitants

Monroe, La. M.S.A

(Includes Ouachita Parish.)

City of Monroe

Total area actually reporting ....
Rate per 100.000 inhabitants. . .

Montgomery, Al. M.S.A

(Includes Autauga, Elmore and
Montgomery Counties.)

City of Montgomery

Total area actually reporting ....
Rate per 100,000 inhabitants...

Muncie, In. M.S.A

(Includes Delaware County.)

City of Muncie

Total area actually reporting ....
Rate per 100,000 inhabitants...

Muskegon, Mi. M.S.A

(Includes Muskegon County.)

City of Muskegon

Total area actually reporting ....

Estimated total

Rate per 100,000 inhabitants

Nashua, N.H. M.S.A

(Includes part of Hillsborough and
Rockingham Counties.)

City of Nashua

Total area actually reporting

Rate per 100.000 inhabitants

Nashville, Tn. M.S.A

(Includes Cheatham, Davidson,
Dickson, Robertson, Rutherford,
Sumner, Williamson and Wilson
Counties.)

City of Nashville

Total area actually reporting

Estimated total

Rate per 100.000 inhabitants

Nassau-SiifTolk, N.Y. M.S.A

(Includes Nassau and Suffolk
Counties.)

Total area actually reporting

Estimated total

Rate per 100.000 inhabitants

Newark, N.J. M.S.A

(Includes Essex, Morris, Sussex and
Union Counties.)

City of Newark

Total area actually reporting

Rate per 100,000 inhabitants

New Bedford, Ma. M.S.A

(Includes part of Bristol and
Plymouth Counties.)

City of New Bedford

Total area actually reporting

Estimated total

Rate per 100.000 inhabitants

See footnotes at end of table.

Population

284,196

112.760
100.0%

854,623

100.0%

145,324

59,536
100.0%

282,144

181.326
100.0%

127,872

74.338
100.0%

154,411

39.819
98.5%
100.0%

Cnme
Index
total

145,270

78,018
100.0%

853,936

465,887
92.7%
100.0%

2,627,641

99.9%
100.0%

1,909,937

336,016
100.0%

170,567

99.061
76.5%
100.0%

8.703
18,711
6.583.8

40,101
4,692.2

3,948

6.411

4.411.5

9.856
12.838
4550.2

4,996

5.825

4,555.3

5,046
10,407
10,544
6,828.5

2,905

4.578

3,151.4

31.213
39,425
41.137
4,817.3

109,301
109,339
4,161.1

33,281
104,505
5,471.6

5,717

6,533

7,988

4,683.2

Modified
Cnme
Index
total'

482
1.273
447.9

2.760
322.9

512

732

503.7

524

888

314.7

314
364

2847

805
1.303
1.314
851.0

76
126
86.7

3.289
3,900
4,014
470.1

5.784
5.787
220.2

9,327
17,322
906.9

772

814

933

547.0

Property
cnme^

8.221
17,438
6,135.9

37,341
4,369.3

3,436

5,679

3,907.8

9,332
1 1,950
4,235.4

4,682

5,461

4,2707

4,241

9.104

9,230

5,977.6

2,829

4,452

3,064.6

27,924
35.525
37,123
4,347.3

103.517
103,552
3,940.9

23.954
87,183
4,564.7

4.945

5,719

7,055

4.136.2

Murder
and non-
negligent

man-
slaughter

15
5.3

24

39

13.8

6

7

5.5

5.8

81

96

99

11.6

112
167

8,7

3

4

5

2.9

Forcible
rape

44

96

33.8

215

25.2

31

53

36.5

45
63

22.3

52

57

44.6

33

62

63

40.8

30

40

27.5

324
358
368
43.1

303
303
11.5

553
963
50.4

14

24

30

17.6

Robbery

142

285

100.3

679
79.5

50
66

45.4

224
273
96.8

102
79.8

106

167

170

110.1

19

27

18.6

1.713
1.851
1.879
220.0

2.914
2,915
110.9

5.287
9,036
473.1

238

244

271

158.9

Aggra-
vated

292

877

308.6

1,837
214.9

425

606

417.0

23
513
181

168

198

154,8

660
1,065
1,072
694.3

24

56

38.5

1.171
1,595
1,668
195,3

2.484

2,486

94.6

3.375
7,156
374.7

517

542

627

367.6

Burglary

1.905

5.064

1.781,9

9,775
1.143.8

1.171

1.760

1.211,1

2,407

3,358

1,190.2

1.251

1.498

1,171.5

1,390

2,665

2,696

1,746.0

802
1.253
862.5

8,601
11,089
11,606
1,359.1

24,927

24,936

949.0

7,660
24,539
1,284.8

2,091

2,313

2.688

1,575.9

Larceny-
Iheft

5.918
11.591
4,078,5

25.501
2,983.9

2,131

3,719

2,559.1

6,489

8,078

2.863.1

3,149

3,644

2.849.7

2.728

6.167

6,248

4,046,3

1.878

2,970

2,044.5

17.598
22.324
23,283
2.726.6

60.365
60.389
2,298.2

9,281
47,752
2,500.2

2,251

2.720

3,447

2,020.91

Motor
vehicle
theft

398

783

275.5

2.065
241,6

134

200

137.6

436

514
182.2

282

319

249.5

123

272

286

185.2

149

229

157.6

1.725
2,112
2,234
261.6

18,225
18,227
693.7

7,013
14,892
779.7

603

686

920

539.4

370

APPENDIX V — Index of Crime, MetropoUtan Stetistical Areas, 1983 — Continued

Metropolitan Statistical Area

Population

Crime
Index
total

New Britaiu, Ct. M.S.A

(Includes part of Hartford County.)

City of New Britain

Total area actually reporting
Rate per 100,000 inhabitants

New Haveo-Meriden, Ct. M.S.A

(Includes part of Middlesex and New
Haven (bounties.)
City of:

New Haven

Meriden

Total area actually reporting
Rate per 100,000 inhabitants
New London-Norwich, Ct.-R.I.

M.S.A

(Includes part of New London,
Windham and Washington
Counties.)
City of:

New London

Norwich

Total area actually reporting
Rate per 100,000 inhabitants

New Orleans, La. M.S.A

(Includes Jetfcrson, Orleans, Saint
Bernard, Saint Charles. Saint John
the Baptist and Saint Tammany
Parishes.)

City of New Orleans

Total area actually reporting

Estimated total

Rate per 100,000 inhabitants

New York, N.Y. M.S.A

(Includes Bronx, Kings, New York,
Putnam, Queens, Richmond,
Rockland and Westchester
Counties.)

City of New York

Total area actually reporting

ELstimated total

Rate per 100.000 inhabitants

Niagara Falls, N.Y. M.S.A

(Includes Niagara County.)
City of Niagara Falls

Total area actually reporting

Rate per 100,000 inhabitants
Norfolk-Virginia Beach-Newport

News, Va. M.S.A

(Includes Gloucester, James City and
York Counties, and Chesapeake,
Hampton, Newport News, Norfolk,
Portsmouth, Poquoson, Suffolk,
Virginia Beach, and Williamsburg
Cities.)
City of:

Norfolk

Virginia Beach -

Newport News

Total area actually reporting

Rate per 100,000 inhabitants

Norwalk, Ct. M.S.A

(Includes part of Fairfield County.)

City of Norwalk

Total area actually reporting
Rate per 100,000 inhabitants

Oakland, Ca. M.S.A

(Includes Alameda and Contra Costa
Counties.)

City of Oakland

Total area actually reporting
Rate per 100,000 inhabitants

Ocala, Fl. M.S.A

(Includes Marion County.)

City of Ocala

Total area actually reporting
Rate per 100,000 inhabitants
See footnotes at end of table.

143,951

74,691
100.0%

532,549

127,525
57,287
100.0%

266,863

29.306
38,577
100.0%

1,324,182

589,508
89.6%
100.0%

8,311,711

7,100,063
99.8%
100.0%

228,579

71,997
100.0%

1,201,774

274,122
271,775
150.974
100.(

126,957

77,790
100.0%

132,617

362,344
100.0%

1,873,983

40.079
100.0%

Modified
Crime
Index
total'

4 967

7,144

4,962.8

13,545

2,981

29,760

5,588.2

2,650

1,944

10,747

4,027,2

44,523
80,083
86,360
6,521.8

622,877
671,779
672,484
8,090.8

5,109
10,479
4,584.4

19,951
14,496
7,548
64,267
5.347.7

5,229

7,153

5,6342

40,166

8,703

6,562.5

4,716
139.415
7,439.5

Property
crime^

325

432

300.1

1,578

150

2,338

439.0

133

160

585

219.2

8.049
11,558
12.236

924.0

132,653
136,604
136,641
1,644.0

283

698

305.4

2,159

587

723

5,182

431.2

261

304

239.5

Murder
and non-
negligent

man-
slaughter

375
15,297
816.3

4,642

6,712

4,662.7

11,967

2,831

27.422

5.149.2

2,517

1,784

10,162

3,807.9

36.474
68.525
74,124
5,597

490,224
535,175
535,843
6,446.8

4,826

9,781

4.279.0

17,792
13,909
6,825
59,085
4,916.5

4,968

6,849

5,394.7

6,777 33,389

947 7,756

714.1 5,848.4

4,341
124,118
6,623.2

12

2

18

3.4

Forcible
rape

211
265
276
20.8

1,622
1.664
1,665
20.0

31
II
20
109
9.1

2.4

98
13
9.8

7
181
9.7

Robbery

23

31

21.5

87

6

139

26.1

9

19

64

24.0

536
784
830
62.7

3,662

3,804

3,806

45.8

1

37
16.2

150

73

55

433

36.0

19

22

17.3

478

59

44.5

1
989
52.8

Aggra-
vated
assault

226

259

179.9

1,193

99

1,528

286.9

68

57

191

71.6

4,550
5,562
5,697
430.2

84,043
85.812
85,826
1,032.6

198

266

116.4

1,063

252

271

2,208

183.7

160

177

139.4

3,289

191

144.0

129
6,779
361.7

Burglary

72
138
95.9

286

43

653

122,6

56

83

325

121.8

2.752
4,947
5,433
410.3

43,326

45,324

45.344

545.5

62

387
169.3

915

251

377

2.432

202.4

102
80.3

2,912

684

515.8

221
7,348
392,1

Larceny-
theft

1,175

1,694

1,176.8

3,768

777

7,698

1,445.5

794

538

3,038

1,138.4

10,782
19,589
21,173
1.598.9

143,698
155,366
155,538
1,871.3

1,481

2,823

1,235.0

4.219
2,928
2,041
14.264
1,186.9

1,450

1,845

1,453.2

11,647

2,784

2,099.3

1,429
35,922
1,916,9

Motor
vehicle
theft

3,166

4,536

3,151.1

6,713

1,847

16,896

3,172.7

1,550

1.120

6.472

2,425.2

20,847
41,294
44.908
3,391.4

253,801
282,758
283,159
3,406.7

3,104

6,463

2,827.5

12,593
10,449
4,373
41.973
3,492.6

3.122

4,502

3,546.1

19,000

4.637

3,496.5

2,749
79,960
4,266,

301

482

334.8

1,486

207

2,828

531.0

173

126

652

244.3

4,845
7,642
8,043
607.4

92,725
97,051
97,146
1,168

241

495

216.6

980

532

411

2,848

237.0

396

502

395.4

2,742

335

252.6

163
8,236
439.5

371

APPENDIX V — Index of Crime, Metropolitan Statistical Areas, 1983 — Continued

Metropolitan Statistical Area

Odesse, Tx. M.S.A

(Includes Ector County.)

City of Odessa

Total area actually reporting

Rate per 100,000 inhabitants

Oklahoma Qty, Ok. M.S.A

(Includes Canadian, Cleveland, Logan
McCIain, Oklahoma and
Pottawatomie Counties.)

City of Oklahoma City

Total area actually reporting

Estimated total

Rate per 100,000 inhabitants

Olympia, Wa. M.S.A

(Includes Thurston County.)

City of Olympia

Total area actually reporting

Rate per 100,000 inhabitants

Omaha, Nb.-Ia. M.S.A

(Includes Douglas, Sarpy and
Washington Counties. Nb., and
Pottawattomie County, la.)

City of Omaha

Total area actually reporting.......

Rate per 100,000 inhabitants

Orange Count}', N.Y. M.S.A

(Includes only Orange County )

Total area actually reporting

Estimated total

Rate per 100,000 inhabitants

Orlando, FI. M.S.A

(Includes Orange. Osceola and
Seminole Counties.)

City of Orlando

Total area actually reporting

Rate per 100,000 inhabitants

Owensboro, Ky. M.S.A

(Includes Daviess County.)

City of Owensboro

Total area actually reporting
Rate per 100,000 inhabitants

Oxnard-Ventura, Ca. M.S.A

(Includes Ventura County.)
City of

Oxnard

Ventura

Total area actually reporting

Rate per 100,000 inhabitants

Panama City, Fl. M.S.A

(Includes Bay County.)

City of Panama City

Total area actually reporting

Rate per 100,000 inhabitants

Parkersburg-Marietta, W.V.-Oh.

M.S.A

(Includes Wood County, W.V. and
Washington County, Oh.)
City of:

Farkersburg

Marietta

Total area actually reporting

Estimated total

Rate per 100,000 inhabitants

Pascagoula, Ms. M.S.A

(Includes Jackson County.)

City of Pascagoula

Total area actually reporting

Estimated total

Rate per 100,000 inhabitants

See footnotes at end of table.

Population

127,839

99,645
100.0%

940,751

441.281
99.8%
100.0%

129,886

28,709
100.0%

Crime
Index
total

592,129

327.276
100.0%

261,447

96.9%
100.0%

775,438

142.678
100.0%

87,408

54.910
100.0%

566,345

123.873
80.071
100.0%

108.475

36,950
100.0%

157,750

40.100

16,430

99.1%

100.0%

121,603

30,298

87.8%i
100.0%

9,083
11,094
8,678.

36,369
62,134
62,228
6,614.7

1,900

5,867

4,517.0

24,259
32,308
5,456.2

10,583
10,873
4,158.8

13,682
53,401
6,886.6

3,416

3,750

4.290.2

7,043

4,078

22,698

4,007.8

3,225

6,012

5,542.3

2,394

795

5,287

5,343

3,387.0

2,816

5,319

6.110

5,024.5

Modified
Crime
Index
total'

Violent

516

622

486.5

4,685
6,341
6,346
674.6

58

209

160.9

2,390
2,820
476.2

1,099
1,119
428.0

2,215
6,412
826.9

113

144

164.7

614

313

1,701

300.3

433

652

601.1

82

38

201

204

129.3

Property
crime'

8,557
10,472
8.191.6

31,684
55,793
55,882
5,940.1

1,842

5,658

4,356.1

21,869
29,488
4,980.0

9,484

9,754

3,7308

11,467
46,989
6.059.7

3.303

3,606

4,125.5

6,429

3,765

20,997

3.707.5

2,792

5,360

4,941.2

2,312

757

5.086

5,139

3.257.7

Murder
and non-
negligent

man-
slaughter

351 2,465

492 4,827

559 5.551

459.7 1 4.564 9

23

25

19.6

61

87
87
9.2

27
40
6.8

11
11
4.2

14
55
7.1

Forcible
rape

23
4.1

6

9

8.3

2

4

4

2.5

Robbery

47

70

54.8

533
689
689
73.2

7
36

27.7

157
204
34.5

141
424
54.7

17

26

29.7

70

31

172

30.4

47
43.3

17

27

32

26.3

159

195

152.5

1,917
2,292
2,293
243.7

19

38

29.3

622

716

120.9

443

450

172.1

768
1,767
227.9

29

32

36.6

286

103

604

106.6

36

57
52.5

29
15
59
60
38.0

60
100
112
92.1

Aggra-
vated
assault

287

332

259.7

2,174
3,273
3,277
348.3

j2

133

102.4

1,584
1,860
314.1

602
614
234

1,292
4,166
537.2

66

S3

95.0

249

175

902

159.3

383

539

496.9

32

16

100

102

64.7

274
363

413

Burglary

2,327

2,899

2,267.7

12,334
19.605
19,631
2,086.7

339

1,577

1,214.1

5,393

7,345

1,240.4

3,076

3,143

1,202,2

3,490
14,896
1,921.0

901

1,051

1,202.4

2,290

1,043

7,406

1,307.7

561

1,337

1,232.5

685

241

1,482

1,493

946.4

711
1,743
1,977

Larceny-
theft

339.61 1,625.8

5,772

6,949

5,435.7

15,142
29,957
30,013
3,1903

1,437

3,879

2,986.5

15,246
20,455
3,454,5

5,927

6,111

2,337.4

7.276
29,348
3,7847

2,256

2.381

2,724.0

3,648

2,486

12,073

2,131.7

2,127

3,761

3,467.2

1,511

480

3,366

3,404

2,157.8

1,619

2,862

3,318

2,728.6

Motor
vehicle
theft

468

624

188.1

4,208
6,231
6,238
663.1

66

202
155.5

1,230
1,688
285.1

481

500

191,2

701
2,745
354,0

146

174

199.1

491

236

1,518

268.0

104

262

241.5

116

35

238

242

153.4

135

222

255

210.5

372

APPENDIX V — Index of Crime, Metropolitan Statistical Areas, 1983 — Continued

Metropolitan Statistical Area

Population

Pensacola, Fl. M.S.A

(Includes Escambia and Santa Rosa
Counties.)

City of Pensacola

Total area actually reporting
Rate per 100.000 inhabitants .

Peoria, 11. M.S.A

(Includes Peona, Tazewell and
Woodford Counties.)

City of Peoria

Total area actually reporting. .

Estimated total

Rale per 100.000 inhabitants

Philadelphia, Pa.-N.J. M.S.A

(Includes Bucks. Chester. De'iaware.
Montgomery and Philadelphia
Counties, Pa., and Burlington,
Camden and Gloucester Counties,
N.J.)

City of Philadelphia

Total area actually reporting

Estimated total

Rate per 100,000 inhabitants

Phoenix, Az. M.S.A

(Includes Maricopa County.)

City of Phoenix

Total area actually reporting
Rate per 100,000 inhabitants

Pine Bluff, Ar. M.S.A

(Includes Jefferson County.)

City of Pine Bluff

Total area actually reporting

Rate per 100.000 inhabitants

Pittsburgh, Pa. M.S.A

(Includes Allegheny. Beaver.
Washington and Westmoreland
Counties.)

City of Pittsburgh

Total area actually reporting

Estimated total -

Rate per 100,000 inhabitants

Pittsfield, Ma. M.S.A

(Includes pan of Berkshire County.)

City of Pittsfield

Total area actually reporting

Estimated total

Rate per 100.000 inhabitants

Portland, Me. M.S.A

(includes part of Cumberland and
York Counties.)

City of Portland

Total area actually reporting

Rate per 100,000 inhabitants

Portland, Or. M.S.A

(Includes Clackamas. Multnomah.
Washington and Yamhill Counties.)

City of Portland

Total area actually reporting

Estimated total

Rate per 100.000 inhabitants

See footnotes at end of table.

317,489

63.775
100.0%

368,058

125.016
99.i
100.0%

4,741,475

1.692,354
99.5%
100.0%

Crime
Index
total

1,649,442

843.415
100.0%

92,507

57.904
100.0%

2,227,456

426,890
99.8%
100.0%

100,016

52.293
87.3%
100.0%

210,854

62,850
100.0%

1,118,913

371,706
99.7%
100.0%

Modified
Cnme
Index
total'

4,796
19,681
6,199.0

10,639
17,046
17,113
4,649.5

89,764
214,165
214,795
4,530.1

68,692
112,845
6,841.4

3.387

4,281

4,627.8

30,842
70,438
70,569
3,168.1

2,523

3,313

3,774

3,773.4

6,706
12,132
5.753.7

48,318
90,702
90,878
8,122.0

Property
crime

613

2,774
873.7

1,231
1,581
1,585
430.6

16,973

28,170

28,213

595.0

5,270
8,359
506.8

255

358

387.0

5,605
8,598
8,608
386.4

152

226

263

263.0

497

627

297.4

6,879
9,202
9,209
823.0

Murder
and non-
negligent

man-
slaughter

4,183
16,907

5,325.2

9,408
15,465
15,528
4,218.9

72.791
185.995
186,582
3,935.1

63,422
104,486
6,334.6

3,132

3,923

4,240.8

25,237
61.840
61,961

2,781.7

2,371

3,087

3,511

3,510.4

6,209
11,505
5.456.4

41,439
81,500
81,669
7,299.0

9
24
7.6

Forcible
rape

311
413
413
8.7

83
136
8.2

2

2

2

2.0

Robbery

26
188
59.2

63

85

85

23.1

822
1,441
1,444

30.5

499
729
44.2

31

46

49.7

214
482
483
21.7

35

40

42

42.0

20

44

20.9

377
607
608

54.3

Aggra-
vated
assault

135

470

148.0

244
291
292
79.3

10,744
14,757
14.770
311.5

1,971
2,628
159.3

95

102.7

4,198
5,371
5,374
241.3

25

28

36

36.0

92
113
53.6

2,964
3.748
3.750
335.1

Burglary

443
2.092
658.9

919
1,197
1,200
326.0

5,096
11,559
11,586

244.4

2,717
4,866
295.0

127

208

224.8

1,151
2,668
2.674
120.0

90

156

183

183.0

385

469

222.4

3.502
4.782
4,786
427,7

1,225

5,198

1,637.2

2,719

4,546

4,561

1.239.2

Larceny-
thell

18.771
28,995
1,757.9

896

1,225

1,324.2

7,377
17,881
17,910

804.1

850

1,130

1,249

1,248.8

1,797

3,217

1,525.7

13,222
27,305
27,350
2,444.3

2,825
10,755
3,387.5

6,485
10,516
10.558
2,868.6

21,254 37,611

51,936 105,666

52,077 107,062

1,098.3 2,258.0

Motor
vehicle
theft

39,933
68,490
4,152.3

2,136

2,552

2,758.7

12,690
33,904
33,986
1,525.8

1,368

1,750

1.981

1,980.7

4,073

7,710

3,656.6

25,813
49,321
49,437
4,418.3

133

954

300.5

204

403

409

111.1

13,926

27,393

27,443

578.8

4,718
7,001
424.4

100

146

157.8

5,170
10,055
10,065

451.9

153

207

281

281.0

339

578

274.1

2,404
4,874
4,882
436.3

373

APPENDIX V — Index of Crime, Metropolitan Statistical Areas, 1983 — Continued

Metropolitan Statistical Area

Portsmouth-Dover-Rochester,
N.H.-Me. M.S.A

(Includes Rockiiigha.n and Strafford
Counties, N.H., and York County.
Me.)
City of:

Portsmouth

Dover

Rochester

Total area actually reporting

Rate per 100,000 inhabitants

Poughkeepsie, N.Y. M.S.A

(Includes Dutchess County,)

City of Poughkeepsie

Total area actually reporting

Rate per 100.000 inhabitants

Providence, R.I. M.S.A

(Includes part of Bristol, Kent.
Newport, Providence and
Washington Counties.)

City of Providence

Total area actually reporting

Rate per 100.000 inhabitants ... .

Provo-Orem, Ut. M.S.A

(Includes Utah County.)
City of:

Provo

Orem

Total area actually reporting

Estimated total

Rate per 100.000 inhabitants

Pueblo, Co. M.S.A

(Includes Pueblo County.)

City of Pueblo

Total area actually reporting

Rale per 100.000 inhabitants

Racine, Wi. M.S.A

(Includes Racine County.)

City of Racine

Total area actually reporting .

Rate per 100.000 inhabitants

Raleigh-Durham, N.C. M.S.A

(Includes Durham, Franklm, Orange
and Wake Counties.)
City of:

Raleigh

Durham

Total area actually reporting

Estimated total

Rate per 100,000 inhabitants

Reading, Pa. M.S.A

(Includes Berks County.)

City of Reading

Total area actually reporting

Estimated total

Rate per 100.000 inhabitants

Redding, Ca. M.S.A

(Includes Shasta County.)

City of Redding

Total area actually reporting

Rate per 100.000 inhabitants

Reno, Nv. M.S.A

(Includes Washoe County.)

City of Reno

Total area actually reporting

Rate per 100.000 inhabitants

Richland-Kennewick-Pasco, Wa.

M.S.A

(Includes Benton and Franklin
Counties.)
City of.

Richland

Kennewick

Pasco

Total area actually reporting

Estimated total

Rate per 100.000 inhabitants

See footnotes at end of table.

Populalion

187,752

27.351
23.230
22,515
100.0%

Crime
Index
total

246,368

29.948
100.0%

632,029

158.053
100.0%

241,149

82.137
58,239
98.7%
100.0%

137,136

1 10,698
100.0%

174,990

86,419
100.0%

577,095

154,482
103,792
99.9%
100.0%

314,369

78,846
99.4%
100.0%

123,005

44,934
100.0%

215,837

112,381
100.0%

149,787

35,033
35.139
17,787
98.6%
100.0%

1 273

840

579

7,174

3,821.0

2,583

7,951

3.227.3

14,760
35,029
5.542.3

2,813
2,380
9.109
9,267
3,842.9

8,025

9,025

6,581.1

6,581

9,353

5,344.9

9,765
10,199
32,359
32,410
5,616.1

4.692

8,656

8,705

2,769.0

2,822

6,034

4.905.5

8,308
12,774
5,918.4

1,376
2,504
2,061
7,398
7,553
5,042.5

Modified
Crime
Index
total'

Violent
crime^

74

23

2

235

125.2

328.0

1.507
2,853
451.4

102

40

270

275

114.0

821

912

665,0

632

835

477.2

879

600

2,338

2,343

406.0

Properiy
cnme'

1,199

817

577

6,939

3,695.8

2,247

7,143

2,899.3

13,253
32,176
5,090.9

2,711
2,340
8,839
8,992
3,728.8

7,204

8,113

5,916.0

5,949

8,518

4,867,7

8,886

9,599

30.021

30,067

5,210.1

Murder
and non-
negligent

man-
slaughter

479

4,213

682

7,974

685

8,020

217.9

2,551.1

258

2,564

485

5.549

394.3

4,511.2

637

7,671

1,006

11,768

466.1

5,452.3

53

1.323

80

2,424

127

1,934

351

7,047

357

7,196

238.3

4.804.2

Forcible
rape

2

5

3.6

6

7
4.0

3

8

6.5

3

5

5

3.3

35
18.6

17

38

15.4

II';
18.2

5
7
19
19
7.9

58

61

44.5

34

48

27,4

46
57
175

Robbery

30
5
2

58
30,9

246

312

126.6

726

902

142.7

19

8

32

33

13.7

157

166

121.0

235

259

148.0

289
271
718

Aggra-
vated
assault

175
30.3

719
124.6

26

203

39

245

39

246

12.4

78.3

24

49

43

76

35.0

61.8

76

297

126

385

58.4

178.4

8

10

12

13

9

40

50

69

51

70

34.0

46.7

142
75.6

70

449

182.2

708
1.815
287.2

76

25

217

221

91,6

604

680

495.9

357

521

297.7

532

259

1,395

1,399

242.4

247

393

395

125.6

182

358

291.0

255

477

221.0

35

55

75

227

231

154.2

Burglary

272

117

61

1,496

796.8

797
2,264
919.0

4,195

9,416

1,489.8

442

291

1,273

1.302

539.9

2.205

2,451

1,787.3

1,622

2,195

1.254.4

2,379
2,597
8,687
8,699
1,507.4

1,420
2,352
2,363
751.7

732

1,723

1,400.8

2,030

3,140

1,454.8

313

451

631

1,865

1,899

1,267.8

Lart:eny-
theft

864

662

486

5,119

2,126.5

1.324

4,507

1,829.4

6,028
17,841
2,822.8

2,177
1,974
7,280
7,397
3,067.4

4,701

5.332

3,888.1

4,167

6,044

3,453.9

6,120

6,623

20,051

20.083

3,480.0

2,545

5,187

5,218

1,659.8

1,675

3,555

2,890.1

5,073

7,842

3,633.3

965
1.914
1.235
4.941
5.050
3,371.5

Motor
vehicle
theft

63

38

30

324

172.6

126

372

151.0

3.030
4.919
778.3

92

75

286

293

121.5

298

330

240.6

160

279

159.4

387

379

1.283

1.285

222.7

248

435

439

139.6

157

271

220.3

568

786

364.2

45

59

68

241

247

164.9

374

APPENDIX V — Index of Crime, Metropolitan Statistical Areas, 1983 — Continued

Metropolitan Statistical Area

Population

Cnmc
Index
total

Richmond-Petersburg, Va. M.S.A

(Includes Colonial Heights. Hopewell,
Petersburg and Richmond Cities
and Charles City, Chesterfield.
Dinwiddle, Goochland, Hanover,
Henrico, New Kent. Powhatan and
Prince George Counties.)
City of:

792,079

228,768
42,647
100.0%

23.079

3.376

46.270

5.841.6

14.435

15.417

119.544

7.265.7

8.421
11.720
5,118.9

2,807

3.414

3.645.0

25.192
50,979
5,208.3

11.538
17.320
6.140.8

30,505
87,091
7,423.5

8,774

2.498

1.307

23.082

23,494

5,680.7

2,439

4,712

2,836.3

5,647

5.908

6.642.0

Total area actually reporting

Riyerside-San Bernardino, Ca.
MSA

1,645,326

181.744
125.002
100.0%

(Includes Riverside and San
Bernardino Counties.)
City of:

Total area actually reporting

228,957

103.919
100.0%

(Includes Roanoke and Salem Cities,
and Boielourt and Roanoke
Counties.)

Total area actually reporting

Rochester, Mn. M.S.A

(Includes Olmsted County.)

93,662

55.393
100.0%

Total area actually reporting

Riw>hp«tPr NY MSA

978,794

243,750
100.0%

(Includes Livmgston, Monroe, Ontario,
Orleans and Wayne Counties.)

Total area actually reporting

Dnrkfnrri II MSA

282,046

140,815
100.0%

1,173,178

293,695
100.0%

(Includes Boone and Winnebago
Counties.)

Total area actually reporting
Rate per 100.IX)0 inhabitants

Sacramento, Ca. M.S.A

(Includes El Dorado, Placer.
Sacramento and Yolo Counties.)

Total area actually reporting

Saginaw-Bay aty-Midland, Mi.

MSA

413,576

76,049
40.902
36.417
98.3%
100.0%

166,134

43.392
100.0%

(Includes Bay, Midland and Saginaw
Counties.)
City of:

Total area actually reporting

Rale per 100,000 inhabitants

Saint Qoud, Mn. M.S,A

(Includes Benton, Sherburne and
Steams Counties.)
City of Saint Cloud
Total area actually reporting
Rate per 100.000 inhabitants
^flint 1n«Enh Mo MSA

88,94!

77.62-
100.0%

(Includes Buchanan County )
City of Saint Joseph
Total area actually reporting
Rate per 100.000 inhabitants
See footnotes at end of table

Modified
Crime
Index
total'

Properly
crime^

2.937

272

4,121

520.3

1.487
2.012
11.895
723.0

450

556

242.8

63

82

87.5

2.732
3.631
371.0

1.033
1.300
460.9

3.080
6.931
590.8

1.490
92
45
2.566
2.600
628.7

53
100
60.2

206

228

256.3

Murder
and non-
negligent

man-
slaughter

20.142

3.104

42.149

5.321.3

12.948

13.405

107.649

6.542.7

7.971
11.164
4.876.C

2.744

3.332

3.557.5

22.460
47.348
4.837.4

10.505
16.020
5.679.9

27.425
80.160
6.832.7

7.284

2.406

1.262

20,516

20.894

5.052.0

2.386

4.612

2.776.1

5.441

5.680

6,385.7

61

10

98

12.4

11

30

198

12.0

10
16

7.0

Forcible
rape

30
39
4.0

12
4.3

52
100
8.5

16
5
1

37
37
8.9

4

6

6.7

Robbery

194

26

336

42.4

116

94

754'

45.8

29

41

17.9

12

16

17.1

124
210
21.5

51

80

28.4

217
550
46.9

122
17
5
202
205
49.6

13

20

12.0

14

15

16.9

1.489

112

1.929

243.5

469
1.114
3.872
235.3

187
214
93.5

Aggra-
vated
assault

10

12

12.8

1.137
1.343
137.2

353

392

139.0

1.553
2.955
251.9

335

29

2

477

486

117.5

16

25

15.0

49

SO

56.2

Burglary

1.193

124

1.758

221.9

891

774

7.071

429.8

224

285

124.5

41

54

57.7

1.441
2.039
208.3

621

816

289.3

1.258
3.326
283.5

1.017
41
37
1.850
1.872
452.6

24

54

32.5

139

157

176.5

7.487

1.032

12.979

1.638.6

4.261

4.853

40.608

2.468.1

2.098

2.687

1.173.6

Larc :;

Ihf:

592

783

836.0

5.772
10.544
1.077.2

3.654

5.264

1.866.4

9,339
24.597
2.096.6

2,503

467

178

5,494

5.586

1.350.7

1.633

1.756

1.974.2

Motor
vehicle
theft

11.754

1.968

27.402

3.459.5

7.707

7.400

58.790

3.573.2

5.598

8.093

3.534.7

2.063

2.432

2.596.6

15.399
34.437
3.518.3

6.548
10,249
3.633.8

16,074
50.069
4.267.8

4.456
1.874
1.056
14.328
14.571
3.523.2

304 2.005

786 3,615

473.1 2,176.0

3.595

3.702

4.161.9

901

104

1.768

223.2

980
1.152
8.251
501.5

275

384

167.7

89

117

124.9

1.289
2.367
241.8

303

507

179.8

2.012
5.494
468.3

325

65

28

694

737

178.2

77

211

127.0

213

222

249.6

375

APPENDIX V — Index of Crime, MetropoUtan Statis^tical Areas, 1983 — Continued

Metropolitan Statistical Area

Saint Ix>ius, Mo.-Il. M.S.A

(Includes Saint Louis City and
Franklin. Jefferson. Saint Charles
and Saint Louis Counties, Mo., and
Monroe County, 11.)

City of Saint Louis

Total area actually reporting

Estimated total

Rate per 100.000 inhabitants

Salem, Or. M.S.A

(Includes Marion and Polk Counties.)

City of Saiem

Total area actually reporting

Rate per 100,000 inhabitants

Salinas-Seaside-Monterey, Ca,

M.S.A

(Includes Monterey County.)
City of:

Salinas

Seaside

Monterey

Total area actually reporting

Rate per 100.000 inhabitants

Salt Lake City-Ogden, Ut. M.S.A

(Includes Davis, Salt Lake and Weber
Counties.)
aty of:

Salt Lake City

Ogden

Total area actually reporting

Estimated total

Rate per 100,000 inhabitants

San Angelo, T\. M.S.A

(Includes Tom Green County.)

City of San Angelo

Total area actually reporting

Rate per 1 00.000 inhabitants

San Antonio, Tx. M.S.A

(Includes Bexar, Comal and
Guadalupe Counties.)

City of San Antonio

Total area actually reporting

Rate per 100,000 inhabitants

San Diego, Ca. M.S.A

(Includes San Diego County.)

City of San Diego

Total area actually reporting

Rate per 100.000 inhabitants

San Francisco, Ca. M.S.A

(Includes Marin. San Francisco and
San Mateo Counties.)

City of San Francisco

Total area actually reporting

Rate per 100,000 inhabitants

San Jose, Ca. M.S.A

(Includes Santa Clara County.)

City of San Jose

Total area actually reporting

Rate per 100,000 inhabitants

Santa Barbara-Santa Maria-Lonipoc,

Ca. M.S.A

(Includes Santa Barbara County.)
City of

Santa Barbara

Santa Maria

Lompoc

Total area actually reporting

Rate per 100.000 inhabitants

See footnotes at end of table-

Population

1,849,499

457.262
92.9%
100.0%

254,000

90,920
100.0%

302,825

86,048
32.174
29.432
100.0%

1,009,205

180.892
71,524
99.0%

100.0%

Crime
Index
total

93,990

81,162
100.0%

1,187,621

874,483
100.0%

1,987,039

935,840
100.0%

1,576,962

721,168
100.0%

1,380,485

671,913
100.0%

318,485

80,069
42,259
27,992
100.0%

50.987
97.499
101.282
5.476.2

7,937
15,210
5,988.2

7,448

1,962

2.335

17.612

5.815.9

18,763
6.217
61,788
62,330
6,176.1

4,926

5,393

5,737.8

70,398
83,267
7.011.2

63,737
1 14,205
5,747.5

62.646
104.106
6,601.7

43,307
78,371
5,677.1

5,262

3,214

1,846

17,233

5.4109

Modified
Crime
Index
total'

8.461
11.326
11,555

624.8

Property
crime'

612

250

120

1,577

520.8

1,163
307
3,111
3,132
3103

410

454

483.0

5,327
6,188
521.0

5,451
10,412
524.0

10,117
13,286
842.5

3,460
5,536
401.0

380

256

106

1,224

384.3

42.526
86.173
89.727
4,851.4

202 7,735

892 14,318

351.2 5,637.0

6,836

1,712

2,215

16,035

5,295.1

17,600
5,910
58.677
59.198
5.865.8

4.516
4,939
5,254.

65,071
77,079
6,490.2

58,286
103.793
5,223.5

52.529
90,820
5.759.2

39.847
72,835
5,276.0

4,882

2,958

1,740

16,009

5,026.6

Murder
and non-
negligent

man-
slaughter

152
197
201
109

3 1

2
5
3
13
4.3

42
42
4.2

10

11

11.7

165
180
15.2

77
131
6.6

83
126
8.0

Forcible
rape

323
547
565
30.5

33

80

31.5

38

27

II

140

46.2

128
55
319
321
31.8

1

23
24.5

519
614
51.7

395
825
41.5

539
738
46.8

447
702
50.9

46

31

9

131

41.1

Robbery

3,840
4,660
4,710
254.7

126
202
79.5

200

103

57

473

156.2

523
92
946
950
94.1

65

70
74.5

2,403
2,570
216.4

2,550
4,033
203.0

5.945
7.022
445.3

1.461
2,079
150.6

131
46
19

265
83.2

Aggra-
vated
assault

4.146
5,922
6,079
328.7

39

602

237.0

372

115

49

951

314-0

Burglary

14,199
25,768
26,840
1,451.2

1,964

3,786

1,4906

1,523

455

453

4.225

1.395.2

498

4,214

152

1,479

1.804

12,987

1.819

13,085

180.2

1,296.6

317

1,021

350

1,127

372-4

1.199.1

2,240

22,268

2,824

26,095

237.8

2,197.2

2,429

16,157

5.423

30,999

272.9

1,560.1

3.550

12,389

5,400

21,765

342.4

1,3802

1,504

10,104

2,683

17.910

194.4

1,297.4

202

1.298

174

929

75

476

811

4,355

254.6

1,367.4

Larceny-
theft

22,974
51,251
53,447
2,889.8

5,435

9.941

3,913.8

5,025

1,169

1,670

11,116

3,670.8

12,356
4,I4C
42,708
43,106
4,271.3

3,252

3,548

3,774.9

37,067
44.442
3.742.1

34.594
60.697
3,054.6

34,481
60,926
3.863.5

26.959
50,213
3,637.3

3,285

1,886

1,205

10.922

3,429.4

Motor
vehicle
Iheft

5.353
9.154
9,440
510.4

336
591

232.7

288

88

92

694

229.2

1,030
291
2,982
3,007
298.0

243

264

2809

5,736
6,542
5508

7.535
12.097
608.6

5,659
8,129
515.5

2,784
4,712
341.3

299

143

59

732

229.8

376

APPENDIX V — Index of Crime, Metropolitan Statistical Areas, 1983 — Continued

Metropolitan Statistical Area

isanta Cruz, Ca. M.S.A

(Includes Santa Cruz County.)

City of Santa Cruz

Total area actually reporting

Rate per 100.000 inhabitants

janta Rosa-Petaluma, Ca. M.S.A

(Includes Sonoma County.)
City of:

Santa Rosa

Petaluma

Total area actually reporting

Rate per 100,000 inhabitants

Sarasota, Fl. M.S.A

(Includes Sarasota County.)

City of Sarasota

Total area actually reporting
Rate per 100.000 inhabitants

■iavannah, Ga. M.S.A

(Includes Chatham and Effmgham
Counties.)

City of Savannah

Total area actually reporting

Estimated total

Rate per 100,000 inhabitants

Scranton-Wilkes Barre, Pa. M.S.A. ..
(Includes Columbia. Lackawanna,
Luzerne, Monroe and Wyommg
Counties.)
City of:

Scranton

Wilkes-Baire

Total area actually reporting

Estimated total

Rate per 100,000 inhabitants

Seattle-Everett, Wa. M.S.A

(Includes King and Snohomish
Counties.)

City of Seattle

Total area actually reporting

Estimated total

Rate per 100.000 inhabitants

Sharon, Pa. M.S.A

(Includes Mercer County.)

City of Sharon

Total area actually reporting

Rate per 100,000 inhabitants

Sheboygan, Wi, M.S.A

(Includes Sheboygan County.)

City of Sheboygan

Total area actually reporting

Estimated total

Rate per 100,000 inhabitants, ,,,

Sherman-Denison, Tx. M.S.A

(Includes Grayson County.)
City of:

Sherman

Denison

Total area actually reporting

Rate per 100,000 inhabitants

Shreveport, La. M.S.A

(Includes Bossier, and Caddo
Parishes.)

City of Shreveport

Total area actually reporting

Rate per 100,000 inhabitants

Sioux aty, la-Nb. M.S.A

(Includes Woodbury County, la. and
Dakota County, Neb.)

City of Sioux City

Total area actually reporting

Rate per 100,000 inhabitants

See footnotes at end of table.

Population

199.904

44,291
!00.0%

312,655

87.694
35,726
100,0%

222,515

54,476
100.0%

228,824

146,971
99.2%
100.0%

Cnme
Index
total

719,707

87,89.3
51,418
99.4%
100.0%

1,673,451

514,319
99.4%
100.0%

128,962

19,148
100.0%

102,541

48,841
94.8%
100.0%

98,980

33,566
26,541
100.0%

352,123

205,832
100.0%

117,373

81,725
100.0%

Modified
Crime
Index
total'

4,310
11,854
5.9298

7,119

1,715

16,803

5,374.3

4,247
11,883
5,340.3

12,736
16,320
16,439
7,184.1

3,477

1.853

16,896

17,011

2,363.6

53.039
116,571
117,287
7,008,7

932

3,120

2,419.3

2,799

3,556

3,800

3.705.8

2.575

1,978

5,381

5,436.5

19,329
25,646
7,283.3

5,415

6,568

5,595.8

Property
crime'

240

771

385.7

361

68

994

317.9

380

842

378.4

1,190
1,502
1,511
660.3

4,818
7.463
7,495
447.9

51

155

120 2

40

57

64

62.4

138

284

491

496.1

1,583
2.594
736,7

238

268

228.3

4,070
11,083
5,544.2

6,758

1,647

15,809

5,056.4

3.867
11,041
4,961.9

11,546
14,818
14,928
6,523.8

Murder
and non-
negligent

man-
slaughter

345

3,132

89

1.764

913

15,983

920

16 091

127.8

2,235.8

48,221
109,108
109,792
6,560.:

2.965
2.299.1

2,759

3,499

3,736

3,643.4

2,437

1.694

4,890

4,940.4

17,746
23,052
6,546.6

5,177

6,300

5,367.5

2
2

14
4.5

4
11
4.9

25

29

29

12.7

Forcible
rape

61
105
105
6.3

1.0

11
11.1

32

46

13.1

21

69

34.5

36

6

108

34.5

45

96

43.1

115
140
141
61.6

434
921
925
55.3

Robbery

1
12
9.3

2

14

15

14,6

9
9.1

133
187
53.1

15

17

14.5

Aggra-
vated
assault

104

233

116.6

135

17

290

92.8

156

230

103.4

526

568

571

249.5

128
44
266
268
37.2

2,032
2,702
2,709
161.9

25

46

35.7

13

13

15

14.6

28

20

56

56.6

463

551

156.5

44

51

43.5

114

456

228.1

1

43

582

186.1

175

505

227.0

524

765

770

336.5

205
41
570
575
79.9

2,291
3,735
3,756
224.4

Buiglary

21

92

71.3

24

29

33

32.2

104

260

415

419.3

955
1,810
514.0

175

196

167.0

Larceny-
theft

956

3.257

1,629.3

1,457

388

4,451

1,423.6

1,044

3,130

1,406.6

2,907

3,919

3,949

1,725.8

1,311
375
5,139
5.165
717.7

12,999
30,522
30,679
1,833.3

147

662

513.3

611

793

839

818.2

705

572

1.628

1,644.8

5,430

6,769

1,922.3

1,491

1.847

1,573.6

Motor
vehicle
theft

2,884

7.177

3,590.2

4,935

1,158

10,506

3,360.3

2,673

7,426

3,337.3

8.076
10,134
10,206
4,460.2

1,581
1.218
9,757
9,830
1,365.8

32,910
73,488
73.988
4,421.3

676

2,096

1,625.3

2,106

2.630

2,814

2,744.3

1,622

1,047

3,040

3.071.3

11,505
15,105
4,289.7

3,487

4.180

3,561.3

230

649

324.7

366
101
852

272.5

150

485

2180

563

765

773

337.8

240

171

1,087

1,096

152.3

2,312
5,098
5,125
306.3

58

207

160.5

42

76

83

80.9

110

75

222

224.3

811
1,178
334.5

199

273

232.6

377

APPENDIX V — Index of Crime, Metropolitan Statistical Areas, 1983 — Continued

Metropolitan Statistical Area

Sioux Falls, S.D. M.S.A

(Includes Minnehaha County.)

City of Sioux Falls

Total area actually reporting

Rate per 100,000 inhabitants

South Bend-Mishawaka, Ind. M.S.A
(Includes Saint Joseph County.)
City of;

South Bend

Mishawaka

Total area actually reporting

Rate per 100,000 inhabitants

Spokane, Wa. M.S.A

(Includes Spokane County.)

City of Spokane

Total area actually reporting

Estimated total

Rate per 100,000 inhabitants

Springfield, U. M.S.A

(Includes Menard and Sangamon
Counties.)

City of Springfield

Total area actually reporting

Estimated total

Rate per 100.000 inhabitants

Springfield, Mo. M.S.A

(Includes Christian and Greene
Counties.)

City of Springfield

Total area actually reporting

Estimated total

Rate per 100,000 inhabitants

Springfield, Ma. M.S.A

(Includes part of Hampden and
Hampshire Counties.)

City of Springfield

Total area actually reporting

Estimated total

Rate per 100,000 inhabitants

Stamford, Ct. M.S.A

(Includes part of Fairfield County.)

City of Stamford

Total area actually reporting

Rate per 100,000 inhabitants

State CoUege, Pa. M.S.A

(Includes Centre County.)

City of State College

Total area actually reporting

Rate per 100,000 inhabitants

Stockton, Ca. M.S.A

(Includes San Joaquin County.)

City of Stockton

Total area actually reporting

Rate per 100,000 inhabitants

Syracuse, N.Y. M.S.A

(Includes Madison, Onondaga and
Oswego Counties.)

City of Syracuse

Total area actually reporting

Estimated total

Rate per 100,000 inhabitants

Tacoma, Wa. M.S.A

(Includes Pierce County.)

City of Tacoma

Total area actually reporting

Estimated total

Rate per 100,000 inhabitants
See footnotes at end of table.

Population

111,956

82,503
100.0%

239,234

108,522
38,404
100.0%

Cnme
Index
total

356,532

178,753
98.9%
100.0%

188,243

100,240
98.1%
100.0%

208,940

134,883
89.1%
100.0%

523,813

153,240
09.4%
100.0%

199,675

103,040
100.0%

113,596

42,589
100.0%

371,532

150,037
100.0%

648,781

171,851
96.6%
100.0%

504,817

165,275
97.7%
100.0%

3,751

4,042

3,610.3

10,021

2,239

14,180

5,927.3

12,494
18,622
18,923
5,307.5

10,030
13,055
13,227
7,0266

10,973
11,843
12,415
5,941.9

13,120
26,526
26,648
5,087.3

7,165

9,793

4,904.5

1,739

4,108

3,6163

16,060
28,102
7,563.8

11.669
25,505
26,307
4,054.8

18,733
34.768
35,654
7.062.8

Modified
Crime
Index
total'

150
176

157.2

649

64

908

379.5

789

990

1,004

281.6

800
1,015
1.027
545.6

363

430

465

222.6

2,976
3,838
3,847
734.4

531

574

287.5

26

175

154.1

1,154
1,868
502.8

1,105
1,564
1,619
249.5

1,651
2,856
2,895
573.5

Properly
crime^

3,601

3,866

3,453.1

9,372

2,175

13,272

5,547.7

11,705
17,632
17,919
5,025.9

9,230
12,040
12,200
5,481.0

10,510
11,413
11,950
5,719.3

10,144
22,688
22,801
4.352.9

6,534

9,219

4,617.0

1,713

3,933

3,462.3

14,906
26234
7,061.0

10,564
23,941
24.688
3,805.3

17,082
31,912
32,759
5,489.3

Murder
and non-
negligent

man-
slaughler

Forcible
rape

10
4.2

16

24
24
4.6

6

7
3.5

25

38

I02

9
15
16

2.5

14
25
25
5.0

25

27

24.1

72

2

83

34.7

32

68

70

19.6

50
72
73
38.

42

46

49

23.5

153
207
207
39.5

22

24

12.0

7

29

25.5

98
144
38.8

57
110
112
17.3

194
373
378
74.9

Robbery

23

25

22.3

338

30

394

164.7

267
323
326
91.4

264

298

302

160.4

148
149
156

74.7

484

668

670

127.9

306

323

161.8

7

21

18.5

597

778

209.4

737

875

895

138.0

534

767

775

153.5

vated
assault

101

123

109.9

233

30

421

176.0

472

576

585

164.1

475

631

538

338.9

158

228

252

1206

2,323
2,939
2,946
562.4

197

220

110.2

12

125

110.0

433

908

244.4

302
564
595
91.9

909
1,691
1,717
340.1

Burglary

701

788

703.8

2,845

410

3,669

1.533,6

3.416

5,552

5,618

1,575.7

2,751

3,756

3,795

2.016.0

2,563

2,920

3,093

1,4803

4,024

7,626

7,658

1,462.0

1.873

2,572

1,288.1

253

735

647.0

4,618

8,111

2,183.1

3,722

7,306

7,491

1,154.6

5,727
11,115
11,309
2.240.2

Larceny-
theft

2,746

2,898

2,588.5

6,225
1.687
9,112

7,780
11.326
11,536
3,235.6

6,209

7,917

8,02

4,262.6

7,525

8,035

8,354

3,998.3

4,895
12,808
12,869
2,4568

4,122

5,825

2,917.2

1,425

3,106

2,734.3

9,390
16,638
4,478.2

6.459
15,701
15,211
2,498.7

10,490
19.144
19,754|
3,915.1

Motor
vehicle
theft

154

18

160.8

302

78

491

205.2

509

754

765

214.5

260

367

381

202.4

422

458

503

240.7

1,225
2,254
2,274
434.1

639

822

411,7

35

92

81.0

898
1,485
399.7

383

934

985

152.0

855
1,653
1,586
334.0

378

kPPENDIX V — Index of Crime, Metropolitan Statistical Areas. 1983 — Continued

Metropolitan Statistical Area

Population

Tallahassee, Fl. M.S.A

(Includes Gadsden and Leon
Counties.)

City of Tallahassee

Total area actually reporting

Rate per 100.000 inhabitants
rampa-Saint Petersburg-Qearwater,

i?l. M.S.A

(Includes Hernando. Hillsborough.
Pasco and Pinellas Counties.)
City of:

Tampa

Saint Petersburg

Clearwater

Total area actually reporting ....
Rate per 100.000 inhabitants . .

lerre Haute, In. M.S.A

(Includes Clay, and Vigo Counties.)
City of Terre Haute
Total area actually reporting ....

Estimated total

Rate per 100.000 inhabitants
rexarkana, Tx.-Texarkana, Ar.

VI.S.A

(Includes Bowie County. Tx.. and
Miller County. Ar.)
City of:

Texarkana. Tx

Texarkana. Ar

Total area actually reporting
Rate per 100,000 inhabitants .

Toledo, Oh. M.S.A

(Includes Fulton. Lucas and Wood
Counties.)

City of Toledo

Total area actually reporting

Estimated total

Rate per 1 00.000 inhabitants

Topeka, Ks. M.S.A

(Includes Shawnee County.)

City of Topeka

Total area actually reporting

Rate per 100,000 inhabitants

Trenton, N.J. M.S.A

(Includes Mercer County.)

City of Trenton

Total area actually reporting
Rate per 100.000 inhabitants

Tucson, Az. M.S.A

(Includes Pima County.)

City of Tucson -

Total area actually reporting

Rate per 100.000 inhabitants

Tulsa, Ok. M.S.A

(Includes Creek, Osage. Rogers. Tulsa
and Wagoner Counties.)

City of Tulsa -

Total area actually reporting

Rate per 100.000 inhabitants

Tuscaloosa, Al. M.S.A

(Includes Tuscaloosa County.)

City of Tuscaloosa

Total area actually reporting
Rate per 100,000 inhabitants

Tyler, Tx. M.S.A

(Includes Smith County.)

City of Tyler

Total area actually reporting

Rate per 100.000 inhabitants

See footnotes at end of table.

208,068

90,153
100.0%

1,779,267

299,965

260,697

97.396

100.1

Crime
Index
total

137,124

61.220
87.6%
100.0%

121,592

34.409
21.748
100.0%

615,448

353,872
99.2%
100.0%

173,924

119,504
100.0%

310,910

92,252
100.0%

580,402

361,739
100.0%

710,691

391.101
100.0%

139,908

75.117
100.0%

141,317

77.672
100.0%

Modified
Crime
Index
total'

7,253
11,107
5,338.2

33.159

18,351

6,486

1 14.453

6.432.6

3.108

4.900

5,409

3,944.6

2,731

1,871

5,689

4,678.8

30,889
40,138
40,329
6,552.8

8,350

9,406

5,408.1

9,079
18,971
6,101.8

34,963
44,431
7,655.2

31.487
42.953
6.043.8

5.049

7,017

5,015.4

7,028

8.582

6,0729

Properly
cnme'

722
1.043
501.3

5,053
2,511
583
13,483
757.8

159

232

260

189.6

200

84

376

309.2

2.420
2,957
2,969
482.4

686

756

434.7

1.339

1,742
560.3

2,776
3,511
604.9

2.404
3,452
485.7

456

647

462.4

411

546

386.4

Murder
and non-
negligent

man-
slaughter

6,531
10,064
4,836.9

28,106
15,840
5,903
100,970
5,674.8

2,949

4,668

5.149

3.755.0

2.531

1.787

5.313

4.369.5

28.469
37,181
37,360
6.070.4

7.664

8.650

4.973.4

7.740
17,229
5,541.5

32,187
40,920
7,050.3

29,083
39.501
5,558.1

4,593

6.370

4,553.0

6.617

8.036

5.686.5

4
14
6.7

58
21
4
155
8.7

Forcible
rape

14
11.5

36
43
43

7.0

5

8

4.6

19
29
9.3

26
40
6.9

35
50
7.0

7

9

6.4

14

19

13.4

82
126
60.6

288
154
47
81
46.0

17

21

23

16.8

Robbery

224
262
263
42.7

51

57

32.8

86
121
38.9

253
341
58.8

193
276
38.8

38

39

27.9

37

45

31.8

Aggra-
vated
assault

172

211

101.4

1.529

859

117

3.297

185.3

42

49

56

40.8

45

29

81

66.6

1.41 1
1,491
1,494

242.7

257

261

150.1

868
1,021
328.4

766

918

158.2

968
1,135
159.7

64

84

60.0

130

154|
109.0^

Burglary

464

692

332.6

3,178
1,477
415
9,213
517.8

100

161

180

131.3

140

44

259

213.0

749
1,161
1,169

189.9

373

430

247.2

366

571

183.7

1,731
2,212
381.1

1,208
1,991
280.1

347

515

368.1

230

328

232.1

Larceny-
theft

1,919

2,850

1.369.7

9.513
5.080
1,490

32,362

1.81

988

1.476

1.605

1.170.5

729

377

1,339

1,101.2

8,335
10,305
10,343
1,680.6

1,985

2.349

1.350.6

2.542

4.985

1,603.4

9,568
12,230
2,107.2

9.058
12.658
1.781.1

1.121

1,590

1.136.5

1.716

2.251

1,592.9

Motor
vehicle
theft

4,337

6.790

3.263.4

16,998

10,331

4,142

63,665

3.578.2

1,716

2,808

3,113

2,270.2

1,641

1,336

3,682

3,028.2

18.133
24,497
24,623
4,000.8

5,415

6,010

3,455.5

4.376
10.938
3.518.1

20.954
26,566

4,577.2

16,442
22,156
3,117.5

3,240

4,471

3,195.7

4,617

5,430

3,842.4

275

424

203.8

1,595

429

271

4,943

277.8

245

384

431

314.3

161

74

292

240.1

2,001
2,379
2,394
389.0

264

291

167.3

822
1,306
420.1

1.665
2,124
366.0

3,583
4,687
659.5

232

309

220.9

284

355

251.2

379

APPENDIX V — Index of Crime, Metropolitan Statistical Areas, 1983 — Continued

Metropolitan Statistical Area

Utica-Rome, N.Y. M.S.A

(Includes Herkimer and Oneida
Counties.)
City of:

Utica

Rome

TotaJ area actually reporting

Estimated total

Rate per 100,000 inhabitants

Vallejo-Fairfield-Napa, Ca. M.S.A....
(Includes Napa and Solano Counties.)
City of:

Vallejo

Faiifield.....

Napa

Total area actually reporting

Rate per 100,000 inhabitants

Vancouver, Wa. M.S.A

(Includes Clark County.)

City of Vancouver

Total area actually reporting

Estimated total

Rate per 100,000 inhabitants

Victoria, Tx. M.S.A

(Includes Victoria County.)

City of Victoria

Total area actually reporting

Rate per 100,000 inhabitants

Vineland-MillTille-Bridgeton, N.J.

M.S.A

(Includes Cumberland County.)
City of:

Vineland

Millville

Bridgeton

Total area actually reporting .......

Rate per 100,000 inhabitants

Visalia-Tulare-Porterville, Ca.

M.S.A

(Includes Tulare County.)
City of:

Visalia

Tulare

Porterville

Total area actually reporting

Rate per 100,000 inhabitants

Waco, Tx, M.S.A

(Includes McLennan County.)

City of Waco

Total area actually reporting

Rate per 100,000 inhabitants

Washington, D.C.-Md.-Va. M.S.A

(Includes District of Columbia;
Calvert, Charles, Frederick,
Montgomery and Prince Georges
Counties, Md.; Alexandria, Fairfax,
Falls Church, Manassas and
Manassas Park Cities, and
Arlington, Fairfax, Loudoun, Prince
William and Stafford Counties, Va.)

City of Washington

Total area actually reporting

Rate per 100,000 inhabitants

Waterbury, Ct. M.S.A

(Includes part of Litchfield and New
Haven Counties.)

City of Waterbury

Total area actually reporting

Rate per 100.000 inhabitants

Waterloo-Cedar Falls, la. M.S.A

(Includes Black Hawk and Bremer
Counties.)
City of;

Waterloo

Cedar Falls

Total area actually reporting

Rate per 100,000 inhabitants

See footnotes at end of table.

Population

322,255

76,125
44,131
99.1%
100.0%

348,348

82,532
61,629
53,372
100.0%

Crime
Index
total

203,040

44,417
98.8%
100.0%

76,195

56,263
100.0%

134,541

53,958

25,714

19,086

100.0%

261,598

53,009
24,031
20,950
100.0%

189,299

112,374
100.0%

3,305,030

623,000
I00.(

175,376

103,642
100.0%

162,069

75,467
33,434
100.0%

2,247
1,662
8.506
8,614
2,673.0

3,615
3,022
3,215
15,727
4,514.7

3,140
10,496
10,674
5,257.1

3,404
3,899
5,117.

4,069
1,283
1,477
8,004
5,949.1

4,584

978

2,417

15,291

5.845.2

8.966
11,586
6,120.5

57,776
178.925
5,413.7

6,703

8,127

4,634.0

5,274

1,142

7,774

4,796.7

Modified
Crime
Index
total'

138

37

389

396

122.9

331

204

307

1,436

412.2

169

481

489

240.8

277

331

434.4

273

34

172

591

439.3

254

107

153

1.326

506.9

723

891

470.7

Property
crime^

11,933

23,450

709.5

512

564

321.6

220

35

318

196.2

2,109
1,625
8,117
8,218
2,550.2

3,284
2,818
2,908
14,291
4,102.5

2,971
10,015
10,185
5,016.3

3,127

3,568

4,682.7

3,796
1,249
1,305
7,413
5,509.8

4,330

871

2,264

13,965

5.338.3

8,243
10,695
5,649.8

Murder
and non-
negligent

man-
slaughter

45,843
155,475
4,704.2

6,191

7,563

4,312.4

5,054

1.107

7.456

4.600.5

7

7

2.2

Forcible
rape

16
4.6

2

4

5.2

2

4

3.0

2

5

4

28

10.7

15

20

10.6

183
298
9.0

10
II
6.3

9

7
28
28
8.7

17

17

10

98

28.1

33

67

68

33.5

15

25

32.8

Robbery

92

18

131

134

41.6

163

76

19

341

97.9

48
113
115
56.6

34

40

52.5

24

72

175

4

13

17

7

59

104

43

158

386

32.0

117.4

286.9

28

92

132

12

22

68

11

36

102

106

251

941

40.5

95.9

359.7

56

228

424

69

264

538

36.5

139.5

284.2

406

7,698

3,646

1,203

12,732

9,217

36.4

385.2

278.9

33

326

143

38

340

175

21.7

193.9

99.8

16

94

105

1

3

31

19

101

193

11.7

62.3

119.1

Aggra-
vated
assaiUt

33

12

223

227

70.4

147
105
278
981
281.6

86

293

298

146.8

226

262

343.9

Burglary

732

440

2,789

2,814

873.2

813

594

605

3,624

1,040.3

929

3,365

3,404

1,676.5

1,088

1,273

1,670.7

978

387

424

2,285

1,698.4

1,098
405
651

4,644

1.775.2

2,561

3,317

1,752.3

Larceny-
theft

12,483
38,758
1,172.7

1,537

1,887

1,076.0

1,640

155

2,074

1,279.7

1,231
1,112
4,984
5,053
1,568.0

2,303
2,137
2,126
9,940
2,853.5

1,862

6,198

6,322

3.113.7

1,941

2,156

2,829.6

2,563
796
31

4,696
3,490.4

3,051

391

1,513

8,622

3,295.9

5,366

6,953

3,673.0

Motor
vehicle
theft

29.405
103.867
3.142.7

4.189

5.101

2,908.6

3,264

924

5,170

3,1900

146

73

344

351

108.9

168

87

177

727

208.7

18

452

459

226.1

98

139

182.4

255

66

63

432

321.:

181

75

100

699

267.2

316

425

224.5

3,955
12,850
388.8

465

575

327.9

150

28

212

130.S

380

PPENDIX V — Index of Crime, Metropolitan Statistical Areas, 1983 — Continued

Metropolitan Statistical Area

Population

'ausau, Wi. M.S.A

(Includes Marathon County.)

City of Wausau

Total area actually reporting

Estimated total

Rate per 100.000 inhabitants
l/est Palm Beach-Boca Raton-Delray

[each, FI. M.S.A

(Includes Palm Beach County.)
City of;

West Palm Beach
Boca Raton
Delray Beach
Total area actually reporting
Rate per 100.000 inhabitants

Vichita, Ks. M.S.A

(Includes Butler and Sedgwick
j Counties.)

1 City of Wichita

Total area actually reporting

Rate per 100,000 inhabitants

Vichita Falls, Tx. M.S.A

I (Includes Wichita County.)

City of Wichita Falls

Total area actually reporting
Rate per 100,000 inhabitants

^Uliamsport, Pa. M.S.A

(Includes Lycoming County.)

City of Williamsport --

Total area actually reporting

Rate per 100,000 inhabitants

Vilmington, De.-N.J.-Md.

i.S.A

(Includes New Castle County, De..
Salem County, N.J , and Cecil
County, Md.)

City of Wilmington

Total area actually reporting
Rale per 100.000 inhabitants

Vilmington, N.C. M.S.A

(Includes New Hanover County.)

City of Wilmington

Total area actually reporting

Estimated total

Rate per 100,000 inhabitants

Worcester, Ma. M.S.A

(Includes part of Worcester County.)

City of Worcester

Total area actually reporting

Estimated total

Rate per 100.000 inhabitants

Vakima, Wa. M.S.A

(Includes Yakima County.)

City of Yakima

Total area actually reporting

Estimated total

Rate per 100,000 inhabitants

Pa. M.S.A

(Includes Adams and York Counties.)

City of York

Total area actually reporting

Estimated total

Rate per 100,000 inhabitants

Youngstown-Warren, Oh. M.S.A

(Includes Mahoning and Trumbull
Counties.)
City of;

Youngstown'

Warren

Total area actually reporting

Estimated total

Rate per 100.000 inhabitants

Yuba City, Ca. M.S.A

(Includes Sutter and Yuba Counties.)

City of Yuba City

Total area actually reporting

Rate per 100.000 inhabitants

See footnotes at end of table.

York,

128,029

30,903
91.0%
100.0%

616,152

65.274
55.987
37,961
100.0%

423,749

287.807
100.0%

Crime
Index
total

133,587

103,803
100.0%

119,242

33,649
100.0%

533,625

71.693
100.0%

107,514

45,914
99.5%
100.0%

406,155

162,474
95.1%
100.0%

178,512

51,721
96.9%
100.0%

382,831

44,726
99.6%
100.0%

528,853

115,196
55,364
87.8%

100.0%

109,119

20,082
100.0%

Modified
Cnme
Index
total'

1,909

3.745

4,272

3.336.7

9,759

3,226

3,973

52.605

8,537.7

22.303
26,757
6.314.4

7,656

8,550

6,400.3

1,807

3,682

3.087.8

7,113
28,466
5,334.5

4,161

6,790

6,827

6,349.9

12,361
16,954
17,682
4,353.5

5.766
11,910
12.320
6,901.5

3,378
11,039
11.084
2.895.3

8,186

3,113

18,841

21,352

4,0374

1,606

6,187

5,670.0

Violent
crime^

Property
cnme^

136

226

241

188.2

1,232

127

475

5,741

931.8

1,385
1,750
413.0

782

835

625.1

91

164

137.5

710
2,355
441.3

291

468

472

439.0

1,150
1,440
1,499
369.1

372

735

753

421.8

214

429

432

112.8

1,020
490
1,940
2,099
396.9

67

688

630.5

Murder
and non-
negligent

man-
slaughter

1,773

3,519

4,031

3,148.5

8,527

3,099

3,498

46,864

7,605.9

20,918
25,007
5,901.4

6,874

7,715

5,775.3

1,716

3,518
2,950.3

6,403
26,111
4,893.1

3,870

6,322

6,355

5,910.9

11,211
15,514
16,183
3,984.4

5,394
11.175
11,567
6,479.7

3,164
10.610
10,652
2,782.4

7.166
2,623
16.901
19,253
3,640.5

1,539

5,499

5.O395I

Forcible
rape

68
11.0

26
31
7.3

12

14

10.5

7

9

9

8.4

9

2.4

19
6
30

32
6.1

1
10
9.2

Robbery

17

23

25

19.5

63
4

14
324
52.6

161
202
47.7

69

73

54.6

5

25

21.0

59
188
35.2

32

44

44

40.9

65
99

102
25.1

31

72

74

41.5

41

85

85

22.2

64
36
HI
121
22.9

2

23

21.1

Aggra-
vated
assault

9
13
16

12.5

646
52

112
1.543
250.4

534

562

132.6

236

252

188.6

22

30

25.2

374

687

128.7

77
104
105
97.7

525

575

588

144.8

109
165
169
94.7

103
157
158
41.3

478
140
696
737
1394

Burglary

110
1

198
154.7

505
70

346
3,806
617.7

664

955
225.4

465

496

371.3

64
109
91.4

272
1,463
274.2

175

311

314

292.1

551

754

797

196.2

232

489

501

280.7

65
178
180
47.0

459

308

1,103

1,209

228.6

43

566

518.7

Larceny-
theft

272

566

665

519.4

3,011

896

1,083

14,809

2,403.5

5.262

6,385

1,506.8

2,188

2,463

1,843.7

358

866

726.3

1,680

6.525

1.222.8

1.136

2.018

2,027

1,885.3

4,336

5,844

6,032

1,485.1

1,008

2,790

2,880

1,613.3

1,022
2,667
2.677
699.3

3,030
1,161
5,977
6,482
1,225.7

347

1,746

1,600.1

Motor
vehicle
Iheft

1,446

2,843

3,241

2,531.5

4,954

2,028

2,232

29,306

4,756.3

14,674
17,461
4,120.6

4,255

4,761

3,564.0

1,293

2.501

2.097.4

4,176
17,611
3.300.3

2,579

4,019

4,042

3,759.5

5,622

8,025

8.389

2,065.5

4,213

7,937

8,224

4,607.0

1,964

7,456

7,484

1.954.9

2.807
1,276
8,598
10,254
1,938.9

1,121

3,481

3,190.1

55
110
125
97.6

562

175

183

2,749

446.2

982
1.161
274.0

431

491

367.6

65

151

126.6

547
1,975
370.1

155

285

286

266.0

1,253
1,645
1,762
433.8

173

448

463

259.4

178

487

491

128.3

1,329
186
2.326
2,517
475.9

71

272

249.3

381

APPENDIX V — Index of Crime, Metropolitan Statistical Areas, 1983 — Continued

Metropolitan Statistical Area

Population

Crime
Index
total

Modified
Cnme
Index
total'

Property
crime'

Murder
and non-
negligent

man-
slaughter

Forcible
rape

Robbery

Aggra-
vated
assault

Burglary

Larceny-
theft

Motor
vehicle
theft

San Juan, Puerto Rico M.S.A

Total area actually repoiling

Rate per lOO.tXX) inhabitants
Caguas, Puerto Rico M.S.A

Total area actually reporting .

Rale per 100.000 inhabitants .
Mayaguez, Puerto Rico M.S.A. ...

Total area actually reporting .

Rate per 100.000 inhabitants
Ponce, Puerto Rico M.S.A

Total area actually reporting -

Rate per 100,000 inhabitants

1,071,849

100.0%

178,686

100.0%

129,787

100.0%

260,749

100.0%

44.814
4,181.0

5,235
2.929.7

3.792
2,921 7

8,701
3,336.9

8.030
749.2

869
486.3

585
450.7

1.367
524.3

36,784
3,431.8

4,366
2,443.4

3,207
2,471.0

7.334
2,812.6

226
21.1

30
16.8

6
4.6

31
11.9

181
16.9

30

48
18.4

5.486
511.8

403
225.5

182
140.2

511
1960

2,137
199.4

406

227.2

383
295.1

777
298.0

13,509
1,260.3

1.990
1,113.7

1.327
1.022.4

3,138
1,203.5

13,944
1,300.9

1,465
819.9

1,559
1,208.9

3.770
1,445.8

9,331

870.6

911
509.8

311
239.6

426
163.4

'Although arson data are included in the trend and clearance tables, sufTicient data are not available to estimate totals for this offense. Arson data for individual cities are
shown in Table 5.

^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.

^Aggravated assault figures are not comparable with previous years.

'Figures are not comparable with previous years.

382

APPENDIX VI
DIRECTORY OF STATE UNIFORM CRIME REPORTING PROGRAMS

Alabama

Alaska

Arizona

Arkansas

California

Colorado

Connecticut

Delaware

Florida

Georgia

Alabama Criminal Justice Information Center
858 South Court Street
Montgomery, Alabama 36130
(205) 832-4930

Uniform Crime Reporting Section

Department of Public Safety

Pouch N

Juneau, Alaska 99811

(907) 465-4345

Uniform Crime Reporting

Arizona Department of Public Safety

Post Office Box 6638

Phoenix, Arizona 85005

(602) 262-8066

Arkansas Crime Information Center

One Capitol Mall, 4D-200

Little Rock, Arkansas 72201

(501) 371-2221

Bureau of Criminal Statistics
Department of Justice
Post Office Box 13427
Sacramento, California 95813
(916) 739-5587

Uniform Crime Reporting

Colorado Bureau of Investigation

2002 South Colorado Boulevard

Denver, Colorado 80222

(303) 759-1100

Uniform Crime Reporting Program

294 Colony Street

Meriden, Connecticut 06450

(203) 238-6594

State Bureau of Identification
Post Office Box 430
Dover, Delaware 19901
(302) 736-5875

Uniform Crime Reports Section

Florida Department of Law Enforcement

Special Services Bureau

Post Office Box 1489

Tallahassee, Florida 32302

(904) 488-5221

Georgia Crime Information Center

Georgia Bureau of Investigation

Post Office Box 17745

Atlanta, Georgia 30316

(404) 656-6123

383

APPENDIX VI — DIRECTORY OF STATE UNIFORM CRIME REPORTING PROGRAMS — Continued

Hawaii

Idaho

Illinois

Iowa

Kansas

Kentucky

Maine

Maryland

Massachusetts

Michigan

Hawaii Criminal Justice Information Data Center

Department of the Attorney General

First Floor

Kekuanao'a Building

465 South King Street

Honolulu, Hawaii 96813

(808) 548-2090

Technical Services Unit
Department of Law Enforcement
6081 Clinton Street
Boise, Idaho 83704
(208) 334-2366

Bureau of Identification

Illinois Department of Law Enforcement

726 South College Street

Springfield, Illinois 62704

(217) 782-3310

Iowa Department of Public Safety
Wallace State Office Building
Des Moines, Iowa 50319
(515) 281-6860

Kansas Bureau of Investigation
3420 Van Buren
Topeka, Kansas 66611
(913) 267-5000

Bureau of Criminal Identification and Statistics
Kentucky State Police
New State Office Building
Frankfort, Kentucky 40601
(502) 227-8717

Uniform Crime Reporting Division
Maine State Police
36 Hospital Street
Augusta, Maine 04333
(207) 289-2296

Criminal Records — Central Repository
Maryland State Police Headquarters
Pikesville, Maryland 21208
(301) 486-3101

Criminal History Systems Board
Massachusetts State Police
Department of Public Safety
1010 Commonwealth Avenue
Boston, Massachusetts 02215
(617) 566-4500

Uniform Crime Reporting Section
Michigan State Police
7150 Harris Drive
Lansing, Michigan 48913
(517) 322-1150

384

APPENDIX VI — DIRECTORY OF STATE UNIFORM CRIME REPORTING PROGRAMS — Continued

Minnesota

Montana

Nebraska

New Hampshire

New Jersey

New York

North Carohna

North Dakota

Oklahoma

Oregon

Criminal Justice Information Systems
Department of Public Safety
1246 University Avenue
St. Paul, Minnesota 55104
(612) 296-2252

Research and Planning Bureau
Montana Board of Crime Control
303 North Roberts
Helena, Montana 59620
(406) 444-3604

Uniform Crime Reporting Program

The Nebraska Commission on Law Enforcement and Criminal

Justice
Post Office Box 94946
Lincoln, Nebraska 68509
(402) 471-3982

Unifonn Crime Reporting
Records and License Unit
New Hampshire State Police
Hazen Drive

Concord, New Hampshire 03305
(603) 271-2535

Uniform Crime Reporting

Division of State Police

Post Office Box 7068

West Trenton, New Jersey 08625

(609) 882-2000

New York State Division of Criminal Justice Services

Statistical Services

Executive Park Tower

Stuyvesant Plaza

Albany, New York 12203

(518) 457-3724

Police Information Network

North Carolina Department of Justice

407 North Blount Street

Raleigh, North Carolina 27601

(919) 733-3171

Criminal Justice Training and Statistics Division

Attorney General's Office

State Capitol

Bismarck, North Dakota 58505

(701) 224-2594

Uniform Crime Reporting
Oklahoma Bureau of Investigation
Post Office Box 11497
Oklahoma City, Oklahoma 73136
(405) 427-5421

Law Enforcement Data Systems Division
Oregon Executive Department
155 Cottage Street, Northeast
Salem, Oregon 97310
(503) 378-3057

385

APPENDIX VI — DIRECTORY OF STATE UNIFORM CRIME REPORTING PROGRAMS — Continued

Pennsylvania

Rhode Island

South CaroHna

Texas

Utah

Vermont

Virginia

Washington

West Virginia

Wisconsin

Bureau of Research and Development
Pennsylvania State Police
1800 Elmerton Avenue
Harrisburg, Pennsylvania 17120
(717) 783-5536

Rhode Island State Police

Post Office Box 185

North Scituate, Rhode Island 02857

(401) 647-3311

South Carolina Law Enforcement Division
Post Office Box 21398
Columbia, South Carolina 29221

(803) 758-6349

Uniform Crime Reporting Bureau
Identification and Criminal Records Division
Texas Department of Public Safety
Post Office Box 4143
Austin, Texas 78765
(512) 465-2091

Uniform Crime Reporting

Utah Department of Public Safety

4501 South 2700 West

Sah Lake City, Utah 84119

(801) 965-4575

Support Services

Vermont Department of Public Safety

Post Office Box 189

Waterbury, Vermont 05676

(802) 244-8786

Records and Statistics Division
Department of State Police
Post Office Box 27472
Richmond, Virginia 23261

(804) 323-2023

Uniform Crime Reporting Program

Washington Association of Sheriffs and Police Chiefs

Post Office Box 826

Olympia, Washington 98507

(206) 459-6386

Communications Officer

West Virginia Department of Public Safety

725 Jefferson Road

South Charleston, West Virginia 25309

(304) 746-2159

Wisconsin Council on Criminal Justice

Suite 1000

30 West Mifflin Street

Madison, Wisconsin 53702

(608) 266-3323

386

APPENDIX VI — DIRECTORY OF STATE UNIFORM CRIME REPORTING PROGRAMS — Continued

Wyoming Division of Criminal Identification

Office of the Attorney General
Suite 4, Boyd Building
Cheyenne, Wyoming 82002
(307) 777-7625

U.S. GOVERNMENT PRINTING OFFICE : 1984 O - 448-194

387

U.S. Department of Justice

Federal Bureau of Investigation

Uniforni Crime Reporting Section

Ofl'icial Business

Penalt)- tor Private Use $300

Postage and Fees Paid
Federal Bureau of Investigation
Jus 432

Washington: D. C. 20535

Address Correction Requested

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