w^^mm
S. Department of Justice
deral Bureau of Investigation
J 1.14/7:990
Uniform Crime Rc|)orls, 1990..
Release Date
Sunday
August 11, 1991
Crime
in the
Uni
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.SOCIATIO/Vo^
tates
UNIFORM
CRIME
SUMMARY
REPORTS
AUG i'i 1331
for the United States
CRIME INDEX
PRINTED ANNUALLY - 1990 by:
Federal Bureau of Investigation
U.S. Department of Justice, Washington, D.C. 20535
CRIMES CLEARED
ADVISORY: Committee on Uniform Crime Records
International Association of Chiefs of Police;
Committee on Uniform Crime Reporting
National Sheriffs' Association;
Uniform Crime Reporting Data Providers Advisory Policy Board
PERSONS ARRESTED
LAW ENFORCEMENT PERSONNEL
APPENDICES
For sale by the Superintendent of Documents, U.S. Government Printing Office, Washington, D.C. 20402
r
FOREWORD
As we proceed into the 21st century, the foremost challenge of the law
enforcement community is its continued success in the warfare against the
escalating violent crime occurrences in the United States. Administered by the
FBI since 1 930, recent enhancements in the Uniform Crime Reporting (UCR)
Program will provide law enforcement with more comprehensive data for use
in meeting this challenge.
Since its inception, Crime in the United States has portrayed a steadily
increasing number of law enforcement agencies voluntarily participating in the
UCR Program. Federal law enforcement has now joined the UCR
constituency, and its addition results in the UCR Program being the first
central repository for law enforcement statistics at all levels of government-
local, state, and Federal. In addition to the increasing number of participants
in the Program, the National Incident-Based Reporting System (NIBRS), now
being implemented across the country, will offer a wealth of crime information
never before available. NIBRS will address almost all current criminal justice
issues, providing decisionmakers with comprehensive, uniform data upon
which to rely when developing crime resistance measures.
A recent and most important adjunct to the UCR Program is the collection
of hate-related offenses. Concern that the degree of prejudice-motivated crimes
in America during the 1980s had increased dramatically, Congress passed and
the President signed the Hate Crime Statistics Act in 1990. Prior to the law's
enactment, no national law enforcement clearinghouse was available to assess
just how widespread these incidents had become. Undeniably, the lack of
concrete statistics rendered it impossible to measure the volume of these
offenses or to generate practical resolutions.
In January 1991, the UCR contributors commenced gathering information
on crimes motivated by prejudice against a victim's race, religion, ethnic origin
or sexual orientation. As in the past, the effective and efficient compilation of
data will necessitate the continued cooperation of the more than 16,000 law
enforcement contributors. Realizing that nationwide strategies rely upon the
ability to identify and track crimes that are prompted by bias, the law
enforcement community is offering its support and has committed resources to
the successful implementation of the hate crime statistics program.
No single entity, however, can rectify the hate crime problem in our
Nation. A campaign against such intolerable behavior requires the
consolidated efforts of the law enforcement community, a myriad of human
interests groups, and the general public. Only such collaborative effort will
send an unambiguous message that any demeanor exhibiting prejudice will not
be tolerated.
Of/cAo^SJL^
William S. Sessions
Director
CRIME FACTORS
Each year when Crime in the United States is published many entities — news media, tourism agencies,
and others with an interest in crime in our Nation — compile rankings of cities and counties based on their
Crime Index figures. This simplistic and incomplete analysis often creates improper perceptions which
adversely affect cities and counties along with their residents. Assessing criminality and law enforcement's
response from jurisdiction to jurisdiction must encompass many elements, some of which, while having
significant impact, are not readily measurable nor applicable pervasively among all locales. Geographic
and demographic factors specific to each jurisdiction must be considered and applied if crime assessment is
to approach completeness and accuracy. There are several sources of information which may assist the
responsible researcher. The U.S. Bureau of Census data, for example, can be utilized to better understand
the makeup of a locale's population. The transience of the population, its racial and ethnic makeup, its age
and sex structure, education levels, and prevalent family structure are all key factors in assessing and better
understanding the crime issues.
The National League of Cities provides information regarding the economic and cultural makeup of
cities and counties. Understanding a jurisdiction's industrial/economic base, its dependence upon
neighboring jurisdictions, its transportation system, its dependence on nonresidents (such as tourists and
convention attendees), proximity to military reservations, etc., all help in better gauging and interpreting
the crime known to and reported by law enforcement. More detailed information can, of course, be
obtained from the city or county chamber of commerce, planning/information office, or similar entity.
The strength (personnel and other resources) and the aggresiveness of the law enforcement agency are
also key factors. While information pertaining to the number of sworn and civilian law enforcement
employees can be found in this publication, assessment of the law enforcement emphases is, of course,
much more difficult. For example, one city may report more crime than a comparable one, not because
there is more crime, but rather because its law enforcement agency through proactive efforts, such as "sting
operations," identify more offenses. Attitudes of the citizens toward crime and their crime reporting
practices, especially concerning more minor offenses, have an impact on the volume of crimes known to
police.
It is incumbent upon all data users to become as well educated as possible when attempting to
categorize and quantify the nature and extent of crime in the United States and in any of the almost 16,000
jurisdictions represented by law enforcement contributors to this Program. This is only possible with
careful study and analysis of the various unique conditions affecting each local law enforcement
jurisdiction.
Historically, the causes and origins of crime have been the subjects of investigation by varied
disciplines. Some factors which have been determined to affect the volume and type of crime occurring
from place to place are:
Population density and degree of urbanization with size of locality and its surrounding area.
Variations in composition of the population, particularly youth concentration.
Stability of population with respect to residents' mobility, commuting patterns, and transient
factors.
Modes of transportation and highway system.
Economic conditions, including median income, destitution, and job availability.
Cultural conditions, such as educational, recreational, and religious characteristics.
Family conditions with respect to divorce and family cohesiveness.
Climate.
Effective strength of law enforcement agencies.
Administrative and investigative emphases of law enforcement.
Policies of other components of the criminal justice system (i.e., prosecutorial, judicial,
correctional, and probational).
Attitudes of citizenry toward crime.
Crime reporting practices of citizenry.
The Uniform Crime Reports give a nationwide view of crime based on statistics contributed by state
and local law enforcement agencies. Population size is the only correlate of crime utilized in this
publication. While the other factors listed above are of equal concern, no attempt is made to relate them to
the data presented. The reader is, therefore, cautioned against comparing statistical data of individual
reporting units from cities, counties, states, or colleges and universities solely on the basis of their population
coverage or student enrollment.
CONTENTS
Page
Section I — Summary of the Uniform Crime Reporting Program 1-6
Section II — Crime Index Offenses Reported 7-162
Narrative comments:
Murder and nonnegligent manslaughter 8-14
Forcible rape 15-17
Robbery 18-22
Aggravated assault 23-26
Burglary 27-31
Larceny-theft 32-37
Motor vehicle theft 38-41
Arson 42-45
Crime Index tabulations 46-50
Charts:
Crime clock, 1990 7
Murder, monthly variation from annual average 10
Murder, 1986-1990 , 10
Forcible rape, monthly variation from annual average 17
Forcible rape, 1986-1990 17
Robbery, monthly variation from annual average 20
Robbery, 1986-1990 20
Robbery analysis, 1986-1990 22
Aggravated assauh, monthly variation from annual average 25
Aggravated assault, 1986-1990 25
Burglary, monthly variation from annual average 29
Burglary, 1986-1990 29
Burglary analysis, 1986-1990 30
Larceny-theft, monthly variation from annual average 34
Larceny-theft, 1986-1990 34
Larceny analysis, 1986-1990 36
Larceny analysis, 1 990 37
Motor vehicle theft, monthly variation from annual average 40
Motor vehicle theft, 1986-1990 40
Crime Index total, 1986-1990 47
Crime Index offenses, percent distribution, 1990 48
Regional violent and property crime rates, 1990 49
Tables:
Murder:
By month, percent of annual total, 1986-1990 9
Age, sex, and race of victims, 1 990 1 1
Victim/offender relationship by race and sex, 1990 11
Type of weapons used, 1990 12
Victims, type of weapons used, 1986-1990 12
Victims — weapons used, 1 990 12
Circumstances by relationship, 1 990 13
Circumstances by weapon, 1 990 13
Circumstances, 1986-1990 14
vii
Page
Tables — Continued
Forcible rape, by month, percent of annual total, 1986-1990 16
Robbery:
By month, percent of annual total, 1986-1990 19
Percent distribution, region, 1990 19
Percent distribution, population group, 1990 21
Type of weapons used, 1 990 21
Aggravated assault:
By month, percent of annual total, 1986-1990 24
Type of weapons used, 1 990 24
Burglary, by month, percent of annual total, 1986-1990 28
Larceny-theft:
By month, percent of annual total, 1986-1990 33
By region, 1990 33
Motor vehicle theft:
By month, percent of annual total, 1986-1990 39
By region, 1990 39
Arson, 1990:
Rate, population group 43
Type of property 43
Structures not in use 44
Property damage 44
Offenses cleared by arrest 44
Offenses cleared by arrest of persons under 1 8 years of age 44
Index of crime:
United States, 1981-1990 50
United States, 1990 51
Regional offense and population distribution, 1990 51
Region, geographic division, and state, 1989-1990 52-59
State, 1990 60-70
Number of offenses known to the police, 1990:
Cities and towns 10,000 and over in population 71-118
Universities and colleges 1 19-127
Suburban counties 128-141
Rural counties 25,000 and over in population 142-149
Crime trends, offenses known to the police, 1989-1990:
Population group 150-151
Suburban and nonsuburban cities, population group 152
Suburban and nonsuburban counties, population group 153
Offense breakdown, population group 154-155
Crime rates, offenses known to the police, 1990:
Population group 156-157
Suburban and nonsuburban cities, population group 158
Suburban and nonsuburban counties, population group 159
Offense breakdown, population group 160-161
Offense analysis, 1990, and percent change from 1989 162
Type and value of property stolen and recovered, 1990 162
Section III— Crime Index Offenses Cleared 163-172
Narrative comments 163
Chart:
Crimes cleared by arrest, 1990 164
viii
Page
Tables:
Offenses known and percent cleared by arrest, 1990:
Population group 165-166
Geographic region and division 167-168
Offense breakdown, population group 1 69- 1 70
Offenses cleared by arrest of persons under 1 8 years of age, 1 990 171-172
Section rv — Persons Arrested 173-235
Narrative comments 1 73- 1 74
Tables:
Arrests for drug abuse violations, 1990 173
Total estimated arrests. United States, 1990 174
Arrests, number and rate, 1990:
Region 175
Population group 1 76-1 77
Total arrest trends:
1981-1990 178
Sex, 1981-1990 179
1986-1990 180
Sex, 1986-1990 181
1989-1990 182
Sex, 1989-1990 183
Total arrests, 1990:
Distribution by age 184-185
Male arrests, distribution by age 186-187
Female arrests, distribution by age 188-189
Of persons under 15, 18, 21, and 25 years of age 190
Distribution by sex 191
Distribution by race 1 92-1 94
City arrest trends:
1989-1990 195
Sex, 1989-1990 196
City arrests, 1990:
Distribution by age 197-198
Of persons under 15, 18, 21, and 25 years of age 199
Distribution by sex 200
Distribution by race 20 1 -203
Suburban county arrest trends:
1989-1990 204
Sex, 1989-1990 205
Suburban county arrests, 1990:
Distribution by age 206-207
Of persons under 15, 18, 21, and 25 years of age 208
Distribution by sex 209
Distribution by race 210-212
Rural county arrest trends:
1989-1990 213
Sex, 1989-1990 214
Rural county arrests, 1990:
Distribution by age 215-216
Of persons under 15, 18, 21, and 25 years of age 217
Distribution by sex 218
Distribution by race 21 9-22 1
Suburban area arrest trends:
1989-1990 222
1 Sex, 1989-1990 223
ix
Page
Tables — Continued
Suburban area arrests, 1990:
Distribution by age 224-225
Of persons under 15, 18, 21, and 25 years of age 226
Distribution by sex 227
Distribution by race 228-230
Arrests by state. Crime Index offenses, 1990 231-234
Police disposition of juvenile offenders taken into custody, 1990 235
Law Enforcement Code of Ethics 236
Section V — Law Enforcement Personnel 237-322
Narrative comments 237
Tables:
Full-time law enforcement employees, October 31, 1990:
Employees, number and rate per 1,000 inhabitants, geographic region and division by population
group
Officers, number and rate per 1,000 inhabitants, geographic region and division by population
group
Employees, range in rate per 1,000 inhabitants 240
Officers, range in rate per 1,000 inhabitants 241
Employees, percent male and female 242
Civilian employees, percent of total, population group 242
State agencies 243
Cities 244-303
Universities and colleges 304-308
Suburban counties 309-3 1 2
Rural counties 31 3-322
Section VI — Appendices 323-363
Appendix I — Table methodology 323-326
Appendix II — Offenses in Uniform Crime Reporting 327-328
Appendix III — Uniform Crime Reporting area definitions 329-330
Appendix IV — Index of Crime, Metropolitan Statistical Areas, 1990 331-358
Appendix V — Directory of Uniform Crime Reporting Programs 359-363
238
239
SECTION I
SUMMARY OF THE UNIFORM CRIME REPORTING
PROGRAM
The Uniform Crime Reporting (UCR) Program is a
nationwide, cooperative statistical effort of approximately
16,000 city, county, and state law enforcement agencies
voluntarily reporting data on crimes brought to their
attention. Since 1930, the FBI has administered the
Program and issued periodic assessments of the nature and
type of crime in the Nation. While the Program's primary
objective is to generate a reliable set of criminal statistics
for use in law enforcement administration, operation, and
management, its data have over the years become one of
the country's leading social indicators. The American
public looks to UCR for information on fluctuations in the
level of crime, while criminologists, sociologists, legisla-
tors, municipal planners, the press, and other students of
criminal justice use the statistics for varied research and
planning purposes.
Historical Background
Recognizing a need for national crime statistics, the
International Association of Chiefs of Police (lACP)
formed the Committee on Uniform Crime Records in the
1920s to develop a system of uniform police statistics.
Establishing offenses known to law enforcement as the
appropriate measure, the Committee evaluated various
crimes on the basis of their seriousness, frequency of
occurrence, pervasiveness in all geographic areas of the
country, and likelihood of being reported to law enforce-
ment. After studying state criminal codes and making an
evaluation of the recordkeeping practices in use, the
Committee in 1929 completed a plan for crime reporting
which became the foundation of the UCR Program.
Seven offenses were chosen to serve as an Index for
gauging fluctuations in the overall volume and rate of
crime. Known collectively as the Crime Index, these
offenses included the violent crimes of murder and
nonnegligent manslaughter, forcible rape, robbery, and
aggravated assault and the property crimes of burglary,
larceny-theft, and motor vehicle theft. By congressional
mandate, arson was added as the eighth Index ofl"ense in
1979.
During the early planning of the Program, it was
recognized that the differences among criminal codes
precluded a mere aggregation of state statistics to arrive at
a national total. Further, because of the variances in
punishment for the same offenses in different state codes,
no distinction between felony and misdemeanor crimes
was possible. To avoid these problems and provide nation-
wide uniformity in crime reporting, standardized offense
definitions by which law enforcement agencies were to
submit data, without regard for local statutes, were formu-
lated. The definitions used by the Program are set forth in
Appendix II of this publication.
In January, 1930, 400 cities representing 20 million
inhabitants in 43 states began participating in the UCR
Program. Congress enacted Title 28, Section 534, of the
United States Code authorizing the Attorney General to
gather crime information that same year. The Attorney
General, in turn, designated the FBI to serve as the
national clearinghouse for the data collected. Since that
time, data based on uniform classifications and procedures
for reporting have been obtained from the Nation's law
enforcement agencies.
Advisory Groups
Providing vital links between local law enforcement and
the FBI in the conduct of the UCR Program are the lACP
and the National Sheriffs' Association (NSA). The lACP's
Committee on Uniform Crime Records, as it has since the
Program began, represents the thousands of police depart-
ments nationwide. The NSA's Committee on Uniform
Crime Reporting, established in June, 1966, encourages
sheriffs throughout the country to participate fully in the
Program. Both committees serve in advisory capacities
concerning the UCR Program's operation.
To function in an advisory capacity concerning UCR
policy and provide suggestions on UCR data usage, a Data
Providers Advisory Policy Board was established in
August, 1988. The Board is comprised of 20 city, county,
and state law enforcement executives, representing the four
geographic regions of the Nation.
The Association of State Uniform Crime Reporting
Programs and committees on UCR within individual state
law enforcement associations are also active in promoting
interest in the UCR Program. These organizations foster
widespread and more intelligent use of uniform crime
statistics and lend assistance to contributors when the
needs arise.
Methods of Data Collection
The information compiled by UCR contributors is
forwarded to the FBI either directly from the local law
enforcement agency or through a state-level UCR Program.
Agencies submitting directly to the FBI are provided
continuing guidance and support on an individual basis.
State-level UCR Programs are very effective intermedi-
aries between local contributors and the FBI. Many of the
42 state Programs have mandatory reporting requirements
and collect data beyond the national UCR scope to address
crime problems germane to their particular locales. In most
cases, these agencies are also able to provide more direct
and frequent service to participating law enforcement
agencies, to make information more readily available for
use at the state level, and to contribute to more streamlined
operations at the national level.
With the development of a state UCR Program, the FBI
ceases direct collection of data from individual law en-
forcement agencies within the state. Instead, information
from local agencies is forwarded to the national Program
through the state data collection agency.
The conditions under which these systems are developed
ensure consistency and comparability in the data submit-
ted to the national Program, as well as provide for regular
and timely reporting of national crime data. These condi-
tions are: (1) The state Program must conform to national
Uniform Crime Reports' standards, definitions, and infor-
mation requirements. The states are not, of course, prohib-
ited from collecting other statistical data beyond the
national requirements. (2) The state criminal justice
agency must have a proven, effective, statewide Program
and have instituted acceptable quality control procedures.
(3) Coverage within the state by a state agency must be, at
least, equal to that attained by the national Uniform Crime
Reports. (4) The state agency must have adequate field
staff assigned to conduct audits and to assist contributing
agencies in record practices and crime reporting proce-
dures. (5) The state agency must furnish to the FBI all of
the detailed data regularly collected by the FBI in the form
of duplicate returns, computer printouts, and/or magnetic
tapes. (6) The state agency must have the proven capability
(tested over a period of time) to supply all the statistical
data required in time to meet national Uniform Crime
Reports' publication deadlines.
To fulfill its responsibilities in connection with the UCR
Program, the FBI continues to edit and review individual
agency reports for both completeness and quality; has
direct contact with individual contributors within the state
when necessary in connection with crime reporting mat-
ters, coordinating such contact with the state agency; and
upon request, conducts training programs within the state
on law enforcement records and crime reporting proce-
dures. Should circumstances develop whereby the state
agency does not comply with the aforementioned require-
ments, the national Program may reinstitute a direct
collection of Uniform Crime Reports from law enforce-
ment agencies within the state.
Reporting Procedures
Based on records of all reports of crime received from
victims, officers who discover infractions, or other sources,
law enforcement agencies across the country tabulate the
number of Crime Index or Part I offenses brought to their
attention each month. Specifically, the crimes reported to
the FBI are murder and nonnegligent manslaughter, forci-
ble rape, robbery, aggravated assault, burglary, larceny-
theft, motor vehicle theft, and arson.
Whenever complaints of crime are determined through
investigation to be unfounded or false, they are eliminated
from an agency's count. The number of "actual offenses
known" is reported to the FBI regardless of whether
anyone is arrested for the crime, stolen property is recov-
ered, or prosecution is undertaken.
Another integral part of the monthly submission is the
total number of actual Crime Index offenses cleared.
Crimes are "cleared" in one of two ways: ( 1 ) at least one
person is arrested, charged, and turned over to the court
for prosecution; or (2) by exceptional means when some
element beyond police control precludes the arrest of an
offender. Law enforcement agencies also report the num-
ber of Index crime clearances which involve only offenders
under the age of 18; the value of property stolen and
recovered in connection with the offenses; and detailed
information pertaining to criminal homicide and arson.
In addition to its primary collection on Crime Index
(Part I) offenses, the UCR Program solicits monthly data
on persons arrested for all crimes except traffic violations.
The age, sex, and race of arrestees are reported by crime
category, both Part I and Part II. Part II offenses include all
crimes not classified as Part I.
Various data on law enforcement officers killed or
assaulted are collected on a monthly basis. The number of
full-time sworn and civilian personnel are reported
annually, as of October 31.
Editing Procedures
Each report submitted to the UCR Program is thor-
oughly examined for arithmetical accuracy and for devia-
tions which may indicate errors. To identify any unusual
fluctuations in an agency's crime counts, monthly reports
are compared with previous submissions of the agency and
with those for similar agencies. Large variations in crime
levels may indicate modified records procedures, incom-
plete reporting, or changes in the jurisdiction's geopolitical
structure.
Data reliability is a high priority of the Program and
noted deviations or arithmetical adjustments are brought
to the attention of the state UCR Program or the submit-
ting agency through correspondence. A standard procedure
of the FBI is to study the monthly reports and to evaluate
periodic trends prepared for individual reporting units.
Any significant increase or decrease is made the subject of
a special inquiry. When it is found that changes in crime
reporting procedures or annexations are influencing the
level of crime, the figures for specific crime categories, or if
necessary, totals are excluded from trend tabulations.
To assist contributors in complying with UCR stand-
ards, the national Program provides training seminars and
instructional materials in crime reporting procedures.
Throughout the country, liaison with state Programs and
law enforcement personnel is maintained, and training
sessions are held to explain the purpose of the Program, the
rules of uniform classification and scoring, and the meth-
ods of assembling the information for reporting. When an
individual agency has specific problems in compiling its
crime statistics and remedial efforts are unsuccessful, FBI
Headquarters' personnel may visit the contributor to aid in
resolving the difficulties.
The Uniform Crime Reporting Handbook, which details
procedures for classifying and scoring offenses, is supplied
to all contributors as the basic resource document for
preparing reports. Since a good records system is essential
for accurate crime reporting, the FBI also furnishes the
Manual of Law Enforcement Records.
To enhance communication among Program partici-
pants, the UCR "Newsletter" and State UCR Program
"Bulletin" are utilized. They address Program policy, as
well as present information and instructional material, and
are produced as needed.
The final responsibility for data submissions rests with
the individual contributing law enforcement agency. Al-
though the Program makes every effort through its editing
procedures, training practices, and correspondence to
assure the validity of the data it receives, the statistics'
accuracy depends primarily on the adherence of each
contributor to the established standards of reporting.
Deviations from these established standards which cannot
be resolved by the national UCR Program may be brought
to the attention of the Committee on Uniform Crime
Records of the lACP or the Committee on Uniform Crime
Reporting of the NSA.
Reporting Area
The presentation of statistics by reporting area facilitates
analyzing local crime counts in conjunction with those for
areas of similar geographical location or population size.
Geographically, the United States is divisible by regions,
divisions, and states. As discussed in Appendix III, further
breakdowns rely on population figures and proximity to
metropolitan areas.
A Metropolitan Statistical Area (MSA) is an integrated
economic and social unit with a recognized large popula-
tion nucleus. Each has a central city of at least 50,000
population or an urbanized area of at least 50,000.
Contiguous counties which meet specified criteria of
metropolitan character and integration, designated subur-
ban counties in UCR, are included. Due to changes in the
geographic compositions of MSAs, no year-to-year com-
parisons of data for those areas should be attempted.
"Other cities," most of which are incorporated, and
rural counties are outside MSAs. As a general rule, sheriffs,
county police, and state police report crimes committed
within the limits of the counties but outside cities, while
local police report crimes committed within the city limits.
Certain tables within this publication present statistics
relative to "suburban" areas. A suburban area consists of
cities with fewer than 50,000 inhabitants together with
counties which are within an MSA. In this context, the
central city is, of course, excluded. The concept of subur-
ban area is especially important in a study of this nature
because of the particular crime conditions which exist in
the communities surrounding the Nation's largest cities.
During 1990, law enforcement agencies active in the
UCR Program represented approximately 239 million
United States inhabitants, or 96 percent of the total
population as established by the Bureau of the Census. The
coverage amounted to 98 percent of the United States
population living in MSAs, 93 percent of the population in
"other cities," and 89 percent of the rural population.
Although most law enforcement agencies submit crime
reports to the UCR Program, data are sometimes not
received for complete annual periods. To be included in
this publication's Tables 6, 7, 8, and 9, showing specific
jurisdictional statistics, figures for all 12 months of the
current year must have been received at the FBI prior to
established publication deadlines. Other tabular presenta-
tions are aggregated as set forth in Appendix I. Unless
consisting of estimates for the total United States popula-
tion, each table in this publication shows the number of
agencies reporting and the extent of population coverage.
Population Data
Current year population figures for the Nation, states,
cities, counties, and geographic regions and divisions are
Bureau of the Census 1990 decennial census counts and are
subject to change. (See Appendix III.) The United States
population showed virtually no change in 1990 from the
1989 estimate.
Offense Estimation
Tables 1 through 5 of this publication contain statistics
for the entire United States. Because not all law enforce-
ment agencies provide data for complete reporting periods,
estimated crime counts are included in these presentations.
Offense estimation occurs within each of three areas:
Metropolitan Statistical Areas, "other cities," and rural
counties. Using the known crime experiences of similar
areas within a state, the estimates are computed by
assigning the same proportional crime volumes to nonre-
porting agencies.
Unique estimation procedures were used to produce
estimated 1985 through 1990 forcible rape figures for the
State of Illinois. In mid- 1984, gender-neutral sex offense
legislation was passed in that state. As a result, forcible
rape figures furnished by the state-level UCR Program
administered by the Illinois Department of State Police
were not in accordance with national UCR guidelines.
Forcible rape totals are not shown in Tables 6, 7, 8, 9, and
Appendix V, which present individual MSA, city, county,
and university/college data for Illinois agencies. Since the
data supplied were not comparable with those provided for
other agencies across the country, the post- 1984 forcible
rape figures have been estimated using national rates per
100,000 inhabitants within the eight population groups
and assigning the forcible rape volumes proportionally.
Due to reporting problems at the state levels, no usable
1988 data were received for local law enforcement agencies
in Florida and Kentucky. For Table 1 of this publication,
1988 offense totals for these two states were estimated.
Previous valid annual totals, by population group, were
updated for the states by applying percentage changes for
each offense within each population group of the geo-
graphic division in which the state resides. The state totals
were compiled from the sums of the population group
estimates. Reporting recommenced for both states during
1989, and usable data have since been received.
Crime Trends
Showing fluctuations from year to year, trend statistics
offer the data user an added perspective from which to
study crime. Percent change tabulations in this publication
are computed only for reporting units which have provided
comparable data for the periods under consideration.
Exclusions from trend computations are made when fig-
ures from a reporting agency are not received for compar-
able timeframes or when it is ascertained that unusual
fluctuations are due to such variables as improved records
procedures, annexations, etc.
Care should be exercised in any direct comparison
between data in this publication and those in prior issues
of Crime in the United States. Valid percent changes for 2,
5, and 10 years are presented in this book's tabular
portions.
Redesign of UCR
While throughout the years the UCR Program remained
virtually unchanged in terms of the data collected and
disseminated, a broad utility had evolved for UCR by the
1980s. Recognizing the need for improved statistics, law
enforcement called for a thorough evaluative study that
would modernize the UCR Program. The FBI fully con-
curred with the need for an updated Program and lent its
complete support, formulating a comprehensive three-
phase redesign effort. The Bureau of Justice Statistics
(BJS), the Department of Justice agency responsible for
funding criminal justice information projects, agreed to
underwrite the first two phases. Conducted by an indepen-
dent contractor, these phases were structured to determine
what, if any, changes should be made to the current
Program. The third phase would involve implementation
of the changes identified. Abt Associates Inc. of Cam-
bridge, Massachusetts, overseen by the FBI, BJS, and a
Steering Committee comprised of prestigious individuals
representing a myriad of disciplines, commenced the first
phase in 1982.
During the first phase, the historical evolution of the
Program was examined. All aspects of the Program,
including the objectives and intended user audience, data
items, reporting mechanisms, quality control, publications
and user services, and relationships with other criminal
justice data systems, were studied.
Early in 1984, a conference on the future of UCR, held
in Elkridge, Maryland, launched the second phase of the
study, which would examine potential futures for UCR and
conclude with a set of recommended changes. Attendees at
this conference reviewed woin. conducted during the first
phase and discussed the potential changes that should be
considered during phase two.
Findings from the evaluation's first phase and input on
alternatives for the future were also major topics of
discussion at the seventh National UCR Conference in
July, 1984. Overlapping phases one and two was a survey
of law enforcement agencies.
Phase two ended in early 1985 with the production of a
draft "Blueprint for the Future of the Uniform Crime
Reporting Program." The study's Steering Committee
reviewed the draft report at a March, 1985, meeting and
made various recommendations for revision. The Commit-
tee members, however, endorsed the report's concepts.
In April, 1985, the phase two recommendations were
presented at the eighth National UCR Conference. While
various considerations for the final report were set forth,
the overall concept for the revised Program was unani-
mously approved. The joint lACP/NSA Committee on
UCR also issued a resolution endorsing the Blueprint.
The final report, the "Blueprint for the Future of the
Uniform Crime Reporting Program," was released in the
summer of 1985. It specifically outlined recommendations
for an expanded, improved UCR Program to meet infor-
mational needs into the next century. There were three
recommended areas of enhancement to the UCR Program.
First, reporting of offenses and arrests would be made by
means of an incident-based system. Second, collection of
data would be accomplished on two levels. Agencies in
level one would report important details about those
offenses comprising the current Crime Index, their victims,
and arrestees. Law enforcement agencies covering popula-
tions of over 100,000 and a sampling of smaller agencies
would be included in level two, which would collect
expanded detail on all significant offenses. The third
proposal involved introducing a quality assurance pro-
gram.
One of the first actions taken by the FBI to begin
implementation was to award a contract for the develop-
ment of new offense definitions and data elements for the
redesigned system. The work involved: (a) revision of the
definitions of certain Index offenses; (b) identification of
additional significant offenses to be reported; (c) refining
definitions for both; and (d) development of data elements
(incident details) for all UCR offenses in order to fulfill the
requirements of incident-based reporting versus the cur-
rent summary reporting.
Concurrent with the preparation of the data elements,
the FBI studied the various state systems to select an
experimental site for implementation of the redesigned
Program. In view of its long-standing incident-based
Program and well-established staff dedicated solely to
UCR, the South Carolina Law Enforcement Division
(SLED) was chosen. The SLED agreed to adapt its existing
system to meet the requirements of the redesigned Pro-
gram and collect data on both offenses and arrests relating
to the newly defined offenses.
To assist SLED in conducting the pilot project, offense
definitions and data elements developed under the private
contract were put at the staffs disposal. Also, the FBI's
Technical Services Division developed "Automated Data
Capture Specifications" for use in adapting the state's data
processing procedures to incorporate the revised system.
The BJS supplied funding to facilitate needed software
revisions. Testing of the new Program was completed in
late 1987.
Following the completion of the pilot project conducted
by SLED, the FBI produced a draft set of guidelines for an
enhanced UCR Program. Law enforcement executives
from around the country were then invited to a conference
in Orange Beach, Alabama, where the guidelines were
presented for final review.
During the conference, three overall endorsements were
passed without dissent. First, that there be established a
new, incident-based national crime reporting system; sec-
ond, that the FBI manage this Program; and third, that an
Advisory Policy Board composed of law enforcement
executives be formed to assist in the direction and imple-
mentation of the new Program.
Information about the redesigned UCR Program, called
the National Incident-Based Reporting System or NIBRS,
is contained in three documents produced subsequent to
the Orange Beach Conference. Volume 1, Data Collection
Guidelines, contains a system overview and descriptions of
the offenses, offense codes, reports, data elements, and
data values used in the system. Volume 2, Data Submission
Specifications, is for the use of state and local systems
personnel who are responsible for preparing magnetic tapes
for submission to the FBI. Volume 3, Approaches to
Implementing an Incident-Based Reporting (I BR) System.
is for use by computer programmers, analysts, etc., respon-
sible for developing a state or local IBR system which will
meet NIBRS' reporting requirements.
NIBRS will collect data on each single incident and
arrest within 22 crime categories. For each offense known
to police within these categories, incident, victim, proper-
ty, offender, and arrestee information will be gathered
when available. The goal of the redesign is to modernize
crime information by collecting data presently maintained
in law enforcement records; the enhanced UCR Program
is, therefore, a byproduct of current records systems. The
integrity of UCR's long-running statistical series will, of
course, be maintained.
It became apparent during the development of the
prototype system that the level one and level two reporting
proposed in the "Blueprint" may not be the most practical
approach. Many state and local law enforcement adminis-
trators indicated that the collection of data on all pertinent
offenses could be handled with more ease than can the
extraction of selected ones. While "Limited" participation,
equivalent to the "Blueprint's" level one, will remain an
option, it appears that most reporting jurisdictions, upon
implementation, will go immediately to "Full" participa-
tion, meeting all NIBRS data submission requirements.
The implementation of NIBRS will be at a pace com-
mensurate with the resources, abilities, and limitations of
the contributing law enforcement agencies. The FBI was
able to accept NIBRS data as of January, 1989, and three
state-level UCR Programs (Alabama, North Dakota, and
South Carolina) and one Federal agency (Department of
the Interior) now supply data in the NIBRS format. An
additional eight state agencies have submitted test tapes
containing the expanded data. Twenty-five other Programs
are in various stages of planning and development and are
expected to be reporting to some degree by the end of 1 99 1 .
Recent Developments
FEDERAL CRIME REPORTING— In 1988, the U. S.
Congress passed the Uniform Federal Crime Reporting
Act, mandating Federal law enforcement participation in
UCR effective January, 1989. The implementation of
NIBRS, the redesigned UCR Program, at the Federal level
is underway, and the Department of the Interior, which
acted as the pilot agency for testing Federal participation
requirements, is currently supplying data. The FBI has
provided supplemental NIBRS guidelines for Federal law
enforcement and is working closely with Federal agencies
as they modify their records systems to accommodate
NIBRS requirements. Data produced as a result of this Act
should be of tremendous benefit to all levels of law
enforcement, to the Executive and Legislative Branches,
and to many other interests.
HATE CRIME STATISTICS— The Hate Crime Statis-
tics Act, passed by the U. S. Congress and signed by the
President in April, 1990, mandates a 5-year data collection
of crimes motivated by religious, ethnic, racial, or sexual-
orientation prejudice. On January 1, 1991, the collection
commenced and the UCR Program has distributed hate
crime Data Collection Guidelines and Training Guides to
city, county, and state law enforcement agencies. Regional
training sessions have been held across the Nation to assist
state-level UCR Programs with implementation among
their jurisdictions and to prepare state UCR personnel to
train local law enforcement representatives within their
respective states. Additional sessions are being held for
local law enforcement, either in conjunction with their
regular periodic UCR training or separately in FBI-spon-
sored seminars dealing solely with bias crime reporting.
Plans are currently underway for a hate crime "resource
book," which will draw together all the data now being
maintained at the state and local levels concerning the
incidence of hate crimes. This publication will precede the
FBI's first issuance of statistics gathered under the UCR
hate crime collection.
LAW ENFORCEMENT OFFICERS KILLED AND
ASSAULTED— The UCR collection of data on law en-
forcement officers killed and assaulted is being modified
with the 1 99 1 reporting year. Data on officers slayings are
being expanded to include more information about the
circumstances at the scene, the interaction between the
victim and assailant, the weapons used, etc. As an addition
to the Program, information on serious assaults is going to
be solicited. Data identical to those collected on officers
killed are going to be requested on all assaults resulting in
injury and during which a firearm or knife was used. The
assault information will be solicited from all levels of law
enforcement in a manner similar to the current practice
concerning officers killed. Initial notification will, of
course, be gleaned from the monthly reports on officers
killed and assaulted submitted by all UCR contributors.
CAMPUS CRIME— In 1990, the Crime Awareness and
Campus Security Act was enacted into law. The Act
requires that eligible educational institutions maintain
certain crime and arrest data in accordance with UCR
definitions. While there is no mandate that the data be
reported to be FBI, institutions are to begin collection on
September 1, 1991, and in September, 1992, commence
annual "security reports." The FBI is working with the
Department of Education to assist with the implementa-
tion of the Act, supplying appropriate training materials
and assistance.
CRIME CLOCI^
1990
one
MURDER
every 22 minutes
FORCIBLE RAPE
every 5 minutes
one
ROBBERY
everv 49 seconds
one
one
CRIME INDEX OFFENSE
everv 2 seconds
one
PROPERTY CRIME
every 2 seconds
The crime clock siiould be viewed with care. Being the most aggregate
reprcscntaiimi ot' LCR data, it is designed to convoy the annual reported
crime evpericnce by showing the relative frequency ol occurrence of the
Index Offenses. This mode of display siiould not be taken to imply a regu
larily in the commission of the Part I Offenses: rather, it represents the an-
nual ratio of crime U) fixed time iiiiLTsaK,
AGGRAUATED ASSAUIT
every 30 seconds
one
BURGLARY
ever>' 10 seconds
one
LARCENY-THEFT
evei^' 4 seconds
one
MOTOR VEHICLE THEFT
cvcrv 19 seconds
SECTION II
CRIME INDEX OFFENSES REPORTED
MURDER AND NONNEGLIGENT MANSLAUGHTER
DEFINITION
Murder and nonnegligent manslaughter, as defined in the Uniform ' Crime
Reporting Program, is the willful (nonnegligent) killing of one human being by
another.
The classification of this offense, as for all other Crime Index offenses, is based
solely on police investigation as opposed to the determination of a court, medical
examiner, coroner, jury, or other judicial body. Not included in the count for this
offense classification are deaths caused by negligence, suicide, or accident; justifiable
homicides; and attempts to murder or assaults to murder, which are scored as
aggravated assaults.
TREND
Year Number of offenses
1989 21.500
1990 23,438
Percent change -\-9.0
Rate per 100.000
inhabitants
8.7
9.4
+8.0
Volume
Reaching an all-time high during 1990, the total number
of murders in the United States for the year was estimated
at 23,438 or 1 percent of the violent crimes reported. More
persons were murdered in July than any other month,
while the fewest were killed during February.
Murder by Month, 1986-1990
[Percent of annual lotal)
Months
January
February
March
April
May
June
July
August . . .
September
October
November
December
1986
7.7
7.0
8.3
8.0
8.2
8.3
9.4
9.4
9.1
8.3
8.0
8.4
1987
7.7
7.9
8.2
7.6
8.6
7.8
8.6
8.9
8.3
8.8
8.3
9.1
1988
8.2
7.2
7.7
7.7
7.8
7.7
8.9
9.5
8.9
8.9
8.2
9.2
1989
8.1
7.1
7,8
7,9
7,8
8,2
9,1
9,0
8,8
8,9
8.5
8.7
1990
7.9
7.0
8.0
7.4
8.1
8.4
9.6
9.3
9.2
8.8
7.6
8.8
When viewing the four regions of the Nation, the
Southern States, the most populous, accounted for 43
percent of the murders. The Western States reported 20
percent; the Northeastern States, 19 percent; and the
Midwestern States, 18 percent.
Trend
The murder volume was up 9 percent nationwide in
1990 over 1989. The Nation's cities overall experienced an
increase of 1 1 percent, with upward trends recorded in all
population groupings. Of the cities, those with populations
under 10,000 registered the greatest increase, 19 percent.
Suburban counties recorded a 5-percent rise, and the rural
counties registered a 4-percent increase.
All regions experienced more murders during 1990 than
in 1989. The number of murders was up 1 1 percent in the
West; 10 percent in both the Northeast and South; and 4
percent in the Midwest.
The accompanying chart reveals a 14-percent rise
nationally in the murder counts from 1986 to 1990. The
10-year trend showed the 1990 total 4 percent above the
1981 level.
Rate
A murder rate of 9 per 1 00,000 inhabitants was regis-
tered nationwide in 1990. Two-, 5-, and 10-year trends
showed the 1990 rate was 8 percent higher than in 1989
and 9 percent above the 1986 rate but 4 percent below the
1981 rate.
On a regional basis, the South averaged 1 2 murders per
100,000 people; both the West and the Northeast, 9 per
100,000; and the Midwest, 7 per 100,000. Compared to
1989, murder rates in 1990 increased 10 percent in both
the West and Northeast; 9 percent in the South; and 6
percent in the Midwest.
The Nation's metropolitan areas reported a 1990 murder
rate of 11 victims per 100,000 inhabitants. In the rural
counties, the rate was 6 per 100,000, and in cities outside
metropolitan areas, the rate was 5 per 100,000.
Nature
Supplemental data provided by contributing agencies
recorded information for 20,045 of the estimated 23,438
murders in 1990. Submitted monthly, the data consist of
the age, sex, and race of both victims and offenders; the
types of weapons used; the relationships of victims to the
offenders; and the circumstances surrounding the murders.
Based on this information, 78 percent of the murder
victims in 1990 were males; and 90 percent were persons
1 8 years of age or older. Forty-nine percent were aged 20
through 34 years. Considering victims for whom race was
known, an average of 49 of every 100 were black, 49 were
white, and the remainder were persons of other races.
Murder by Month 1990
Variation from Monthly Average
15 T
10
^ 5 --
O)
bt 0
O)
-5
10
-15 -
20 -^
Jan. Feb. IVIar. Apr. JVfay Jun. Jul. Ai^ Sept. Oct. Nov. Dec
Murder
Percent Change
from 1986
Number of Offenses
Known - Up 14%
Rale per 100.000
Inhabitants - Up 9%
1986
1987
1988
1989
1990
Age, Sex, and Race of Murder Victims, 1990
Total
Sei
Race
Age
Male
Female
Unknown
White
Black
Other
Unknown
Total
20,045
100.0
15,628
78.0
4,399
21.9
18
.1
9,724
48.5
9,744
48.6
345
1.7
232
1 2
Under 18'
1,970
17,769
1,362
14,038
607
3,729
1
2
942
8,646
971
8,650
38
304
19
169
264
317
118
270
2,348
3,472
3,405
2,773
2,051
1.400
894
586
451
422
284
234
450
306
148
176
51
162
1,994
2,923
2,736
2,140
1,615
1,108
695
469
332
322
195
129
205
228
116
140
67
108
352
549
669
633
436
292
199
117
119
100
89
105
245
63
159
169
61
138
918
1.485
1.519
1.307
991
774
537
358
271
261
180
167
293
136
98
136
51
125
1,376
1,911
1,818
1,386
994
575
322
206
159
152
98
61
153
123
5
10
2
7
28
52
40
53
44
29
21
17
18
5
5
5
1
3
2
1 to 4
1
2
5 to 9
4
10 to 14
15 to 19
2
26
20 to 24
24
25 to 29
28
30 to 34
27
35 to 39
22
40 to 44
22
45 to 49
14
50 to 54
5
55 to 59
3
4
65 to 69
1
70 to 74
1
75 and over
3
15
44
'Does not include unknown ages.
Data based on incidents involving one victim and one
offender showed that in 1990, 93 percent of the black
murder victims were slain by black offenders, and 86
percent of the white murder victims were killed by white
Victim/Offender Relationship by Race and Sex, 1990
[Single victim/single ofTender]
offenders. Likewise, males were most often slain by males
(85 percent in single victim/single offender situations).
These same data showed, however, that 9 of every 10
female victims were murdered by males.
Victim
Total
victims/
ofTenders
OfTender
Race
Sex
White
Black
Other
Unknown
Male
Female
Unknown
White
Race
5,174
5,279
188
81
4,450
305
61
18
617
4,934
24
19
53
7
100
54
33
3
44
4,559
4,474
163
35
561
772
22
2
54
Black
33
Other
3
44
Male
Sej
8,053
2,588
81
3.463
1.353
18
4,419
1.156
19
107
53
M
26
44
6,868
2,328
35
1,121
234
2
64
26
Unknown
44
Totals
10,722
4,834
5,594
160
134
9.231
1.357
134
11
As in previous years, firearms were the weapons used in
approximately 3 of every 5 murders committed in the
United States. Of those murders for which weapons were
reported, 50 percent were by handguns, 6 percent by
shotguns, and 4 percent by rifles. Other or unknown types
of firearms accounted for another 5 percent of the total
murders. Among the remaining weapons, cutting or stab-
bing instruments were employed in 17 percent of the
murders; blunt objects (clubs, hammers, etc.) in 5 percent;
other dangerous weapons, such as poison, explosives, etc.,
in 8 percent; and personal weapons (hands, fists, feet, etc.)
in the remainder.
Murder, Type of Weapons Used, 1990
[Percent distribution by region]
Murder Victims, Type of Weapons Used, 1986-1990
Regkm
Total
all
weapons'
Firearms
Cutting
or
stabbing
instru-
ments
Unknown
or other
danger-
ous wea-
pons
Personal
weapons
Total
100.0
64.1
17.5
12.9
5 5
Northeastern Sutes
Midwestern States
Southern States
100.0
100.0
100.0
100.0
60.7
63.4
66.0
64.2
18.1
17.1
17.6
17.0
14.8
13.2
11.8
12.9
6.4
6.3
4 5
Western States
60
Weapons
Total
Total Firearms
Handguns
Rines
Shotguns
Other guns
Firearms-not stated
Cutting or stabbing
instruments
Blunt objects (clubs,
hammers, etc.)
Personal weapons (hands,
fists, feet, etc.)'
Poison
Explosives
Fire
Narcotics
Drowning
Strangulation
Asphyxiation
Other weapons or weapons
not stated
1986
19,257
11,381
8,460
788
1,296
22
815
3,957
1,099
1,310
14
16
230
23
49
341
160
677
1987
17,963
10,612
7,847
776
1,101
16
872
3,643
1,045
1,165
34
12"
200
24
51
360
115
702
1988
17,971
10,895
8,147
753
1,105
15
875
3,457
1,126
1,095
15
34
255
36
38
331
73
616
'Pushed is included in personal weapons.
1989
18,954
11,832
9,013
865
1,173
34
747
3,458
1,128
1,050
II
16
234
17
60
366
101
681
1990
20,045
12,847
9,923
743
1,237
24
920
3,503
1,075
1,112
11
14
287
29
36
312
96
723
'Because of rounding, percentages may not add to totals.
Murder Victims — Weapons Used, 1990
Total
Weapons
Age
Fire-
arm
Cutting or
stabbing
instrument
Blunt object
(club,
hammer,
etc.)
Personal'
weapons
(hands,
fists, feet,
etc.)
Poison
Explosives
Arson
Narcotics
Strangu-
lation
Asphyxia-
tion
other
weapon or
weapon
not stated
Total
20,045
100.0
12,847
64.1
3,503
17.5
1,075
5.4
1,112
5.5
II
.1
14
.1
287
1.4
29
.1
312
1.6
96
.5
759
Percent
distribution'
3.8
Under 18'
1,970
17,769
1,077
11,622
178
3,271
75
977
355
744
10
4
10
56
223
6
23
32
277
43
52
143
560
Infant (under 1)
1 to 4
264
317
118
270
2,348
3,472
3,405
2,773
2,051
1,400
894
586
451
422
284
234
450
306
13
45
40
185
1,879
2,574
2,371
1,802
1,270
874
572
336
227
179
125
75
132
148
4
15
20
34
258
541
602
564
429
268
154
106
111
110
74
60
99
54
15
17
6
13
54
102
131
133
124
102
59
56
47
38
29
39
87
23
147
157
15
10
45
87
105
109
101
66
50
34
24
42
22
25
60
13
2
1
3
1
5
18
15
8
26
47
36
24
25
10
8
9
9
8
7
11
13
8
2
3
3
5
5
29
35
54
53
22
14
15
10
9
18
9
7
18
3
18
14
5
3
6
5
4
3
5
3
3
6
2
3
5
3
7
1
56
48
5 to 9
1
2
2
3
7
3
1
3
11
10 to 14
3
1
7
15 to 19
47
20 to 24
79
25 to 29
99
30 to 34
2
75
35 to 39
70
40 to 44
1
61
45 to 49
29
50 to 54
3
1
1
25
55 to 59
2
19
60 to 64
23
65 to 69
12
70 to 74
14
1
2
28
56
Unknown
'Pushed IS included in personal weapons.
'Because of rounding, percentages may not add to touls.
'Does not include unknown ages.
12
Over half the murder victims in 1990 were related to (14
percent) or acquainted with (37 percent) their assailants.
Fourteen percent of the victims were murdered by stran-
gers, while the relationships among victims and offenders
were unknown for 35 percent of the murders. Among all
female murder victims in 1990, 30 percent were slain by
husbands or boyfriends. Four percent of the male victims
were killed by wives or girlfriends.
Arguments resulted in 34 percent of the murders during
the year. Twenty-one percent occurred as a result of
felonious activities such as robbery, arson, etc., while
another 1 percent were suspected to have been the result of
some felonious activity. Four percent of the murders were
committed during brawls while offenders were under the
influence of alcohol or narcotics. The table on the follow-
ing page shows murder circumstances for the past 5 years.
Murder Circumstances by Relationship, 1990
[Percent distribution]
Victim
Total
Felony
type
Suspected
felony type
Romantic
triangle
Argument
over money
or property
Other
arguments
Miscellaneous
non-felony
type
Unable to
determine
Total'
100.0
100.0
100.0
100.0
100.0
100.0
100.0
Husband
Wife
Mother
Father
Daughter
Son
Brother
Sister
Other family
Acquaintances
Friend
Boyfriend
Girlfriend
Neighbor
Stranger
Unknown relationship
2.1
4.3
.6
.8
1.1
1.6
1.0
.2
1.9
28.5
4.3
1.3
2.2
1.1
14.4
34.7
.3
.5
.3
.2
.6
.7
.1
.2
1.2
26.5
3.4
.1
.3
1.1
29.3
35.3
1.4
1.4
2.7
10.3
1.4
.7
.2
1.0
I.O
20.3
.7
1.4
14.2
58.1
1.5
53.8
9.0
3.2
7.1
1.2
5.4
3.4
1.6
1.6
.2
1.4
.2
.8
3.1
.2
4.9
55.9
12.3
1.0
1.2
2.7
7.4
5.7
4.6
7.1
.7
1.4
.4
1.0
2.1
.3
3.3
39.8
6.5
3.3
4.3
1.8
12.0
11.4
1.9
7.2
1.2
1.2
3.8
4.9
.9
.2
1.9
32.8
4.3
.9
2.4
1.0
16.7
18.5
100.0
.5
1.6
.3
.2
.3
.5
.3
.1
.6
8.6
1.0
.1
.9
.1
4.8
80.1
'Because of rounding, percentages may not add to totals.
Murder Circumstances
by Weapons, 1990
Weapons
Total
Felony
type
Suspected
felony
type
Romantic
triangle
Argument
over money
or property
Other
arguments
Miscellaneous
non-felony
type
Unable to
determine
Total . . .
20,045
4,111
148
407
513
5,993
3,913
4,960
12,847
3,503
1.075
1,112
11
14
287
29
36
312
96
723
2,707
567
259
179
1
5
146
7
11
90
35
104
83
23
7
9
I
1
299
79
13
10
1
341
101
36
16
3,701
1,521
276
262
2,515
490
187
437
4
20
14
14
46
44
141
3,201
Cutting or
stabbing instruments
Blunt objects
(clubs, hammers, etc.)
Personal weapons
(hands, fists, feet, etc.)' . . . .
722
297
199
3
2
100
5
Fire
21
2
1
3
1
17
6
5
40
3
87
8
Strangulation
2
126
13
Other weapons
or weapons not stated
3
12
359
'Pushed IS included in personal weapons.
13
Murder Circumstances, 1986-1990
[Percent distribution]
Total ...
Percent'
Felony total:
Robbery
Narcotics
Sex offenses
Arson
Other felony
Suspected felony
Argument total:
Romantic triangle .
Property or inoney
Other arguments ...
Miscellaneous
non-felony types' ..
Unknown
1986
19,257
100.0
19.4
9.5
3.9
1.5
1.0
3.4
2.0
37.5
2.1
2.4
32.9
18.6
22.5
1987
17,963
100.0
19.6
9.3
4.9
1.4
.9
3.0
1.1
36.8
2.0
2.6
32.1
17.6
24.9
1988
17,971
100.0
19.0
8.3
5.6
1.2
1.0
2.8
1.3
34.5
1.7
2.7
30.1
18.9
26.3
1989
18,954
100.0
21.4
9.1
7.4
1.1
.9
2.9
35.2
2.0
2.9
30.3
19.0
23.7
1990
20,045
100.0
20.5
9.2
6.5
1.1
.8
2.9
.7
34.5
2.0
2.6
29.9
19.5
24.7
'Because of rounding, percentages may not add to totals.
'Includes murders committed during brawls while offender was under the influence of
alcohol and/or narcotics.
Clearances
The clearance rate for murder continued to be higher
than for any other Crime Index offense. Law enforcement
agencies nationwide were successful in clearing 67 percent
of the murders occurring in their jurisdictions during 1990.
Seventy-six percent of murders in rural counties, 68
percent of those in suburban counties, and 66 percent of
those in the Nation's cities were cleared. Cities with
populations under 10,000 reported the most successful
clearance rate, 78 percent.
Geographically, the South, the most populous region,
registered the highest murder clearance rate, 70 percent.
Sixty-six percent of murders in the West and 65 percent in
both the Midwest and Northeast were cleared.
Persons under 1 8 years of age accounted for 8 percent of
the willful killings cleared by law enforcement nationally,
as well as in the Nation's cities during 1990. This propor-
tion of juvenile involvement was lower than for any other
Index offense. Seven percent of the suburban county and 5
percent of the rural county clearances involved only
persons in this young-age group.
Persons Arrested
Fifty-two percent of all murder arrestees in 1990 were
under 25 years of age. The 18- to 24-year age group
accounted for 38 percent of the total.
Ninety percent of those arrested were male and 10
percent, female. Blacks comprised 55 percent of the total
arrestees for murder in 1 990. Whites made up 44 percent,
and the remainder were of other races.
Compared to the 1989 level, the 1990 murder arrest
total increased 1 1 percent. Arrests of persons aged 1 8 and
over increased 9 percent, and those of younger persons
were up 26 percent. During the same 2-year period, male
arrests increased 13 percent, while female arrests were
down 3 percent.
Long-term trends indicate the 1 990 murder arrest total
was 23 percent above the 1986 level and 10 percent higher
than the 1981 figure.
14
FORCIBLE RAPE
_ DEFINITION _
Forcible rape, as defined in the Program, is the carnal knowledge of a female
forcibly and against her will. Assaults or attempts to commit rape by force or threat
of force are also included; however, statutory rape (without force) and other sex
offenses are excluded.
TREND
Year Number of offenses
1989 94,504
1990 102.555
Percent change +8.5
Rate per 100.000
inhabitants
38.1
41.2
+8.1
15
Volume
During 1990, there were an estimated 102,555 forcible
rapes in the Nation. Rape offenses comprised 6 percent of
the total violent crimes. Geographically, the Southern
States, the region with the largest population, accounted
for 38 percent of the forcible rapes reported to law
enforcement. Following were the Midwest with 25 percent,
the West with 23 percent, and the Northeast with 14
percent.
Monthly totals showed the greatest number of forcible
rapes were reported during the summer, with July record-
ing the highest frequency. The lowest total was registered
in February.
Forcible Rape by Month, 1986-1990
[Percent of annual total]
Months
January
February .
March
April
May
June
July
August . . .
September
October . .
November
December
1986
7.1
6.7
7.9
8.1
8.8
9.2
9.8
10.2
9.1
8.4
7.8
7.0
1987
7.2
6.8
8.1
8.2
8.9
9.3
9.7
9.8
8.9
8.1
7.7
7.3
1988
7.4
7.3
8.0
8.0
9.0
8.7
9.9
9.8
9.0
8.4
7.6
6.8
1989
7.4
6.3
7.7
8.3
8.6
8.9
10.0
9.5
8.8
8.9
8.3
7.3
1990
7.6
6.7
7.9
8.1
9.1
9.0
9.6
9.4
9.1
8.4
7.7
7.4
Trend
Compared to the previous year, the 1990 forcible rape
volume increased 9 percent nationwide. In the cities
collectively, the total was also up 9 percent. The rural
counties recorded a 7-percent increase and the suburban
counties, a 10-percent rise. City trends ranged from a 4-
percent increase in cities with populations of 1 million or
more to a 14-percent increase in cities with under 10,000
inhabitants.
Geographically, all four regions reported higher forcible
rape volumes in 1990 than in 1989. The increases were 1 1
percent in the Southern States, 8 percent in both the
Midwestern and Western States, and 2 percent in the
Northeastern States.
National trends for 5 and 10 years show that the forcible
rape total rose 12 percent over 1986 and 24 percent above
1981.
Rate
By Uniform Crime Reporting definition, the victims of
forcible rape are always female. In 1 990, an estimated 80 of
every 100,000 females in the country were reported rape
victims, an increase of 8 percent from the 1989 rate. Since
1986, the female forcible rape rate has risen 10 percent.
Female forcible rape rates for 1990 showed there were
89 victims per 100,000 females in MSAs, 64 per 100,000
females in cities outside metropolitan areas, and 44 per
100,000 females in rural counties.
Regionally, the highest female rape rate was in the
Southern States, which recorded 88 victims per 100,000
females. Following were the Western States with a rate of
87, the Midwestern States with 83, and the Northeastern
States with 56.
Nature
Of all reported forcible rapes during 1 990, 84 percent
were rapes by force. The remainder were attempts or
assaults to commit forcible rape. A 10-percent increase was
registered in the number of rapes by force, and a 1 -percent
increase for attempts to commit rape.
Clearances
Nationwide, as well as in the cities and suburban
counties, 53 percent of the forcible rapes reported to law
enforcement were cleared by arrest or exceptional means in
1990. Rural county law enforcement agencies cleared 54
percent of the offenses brought to their attention.
Clearance rates for the regions ranged from 47 percent in
the Midwestern States to 58 percent in the Southern States.
In the Northeastern States, the clearance rate for forcible
rape was 53 percent, and in the Western States, it was 50
percent.
Of the total clearances for forcible rape in the country as
a whole, 1 2 percent involved only persons under 1 8 years
of age. Rural counties recorded a 1 3-percent involvement
of this age group, while 17 percent was recorded in
suburban counties. In the Nation's cities, only persons
under age 1 8 accounted for 1 1 percent of the forcible rape
clearances.
Persons Arrested
The number of arrests for forcible rape rose 8 percent
nationwide and in the Nation's cities and suburban coun-
ties from 1989 to 1990. Arrests for this offense rose 6
percent in the rural counties. For the 5-year period, 1986 to
1 990, total forcible rape arrests increased 9 percent nation-
wide. Those of adults and of persons under 1 8 years of age
increased 10 percent and 3 percent, respectively.
Of the forcible rape arrestees in 1 990, 44 percent were
persons under the age of 25, with 29 percent of the total
being in the 1 8- to 24-year age group. Fifty-five percent of
those arrested were white, 43 percent were black, and the
remainder, other races.
16
c
Forcible Rape by Month 1990
Variation from Montiiiy Averase
Jan. Feb. Man Apr. IVIay Jun. Jul. Aug. Sept. Oct. Nov. Dec.
12
10
/p
Forcible
8 ■
/ /
Rape
6 ■
4 •
//
Percent Change
from 1986
" Number of Offenses
2 •
_-*""■''''''!-□
Known -Up 129'f
OE
^^^•"""""'O'^
■ Rate per 100.000
InhiibilanlN - Up 9*7^
-1 -1
19
86 1987 1988 1989 1990
17
ROBBERY
DEFINITION
Robbery is the taking or attempting to take anything of value from the care,
custody, or control of a person or persons by force or threat of force or violence
and/or by putting the victim in fear.
TBFlVn
Rate per 100,000
Year
Number of offenses
inhabitants
1989
578,326
233.0
1990
639,271
257.0
Percent change
+10.5
+10.3
18
Volume
Accounting for 4 percent of all Index crimes and 35
percent of the violent crimes in 1990, robbery was estimat-
ed at 639,271 offenses for the year. Robberies occurred
most frequently in December and least often in April
during 1990.
Robbery by Month, 1986-1990
[Percent of annual total]
Months
January
February
March
April
May
June
July
August . . .
September
October
November
December
1986
8.7
7.7
8.2
7.6
7.7
8.0
8.4
9.3
8.6
8.7
8.3
9.0
1987
8.9
8.1
8.2
7.5
7.5
7.6
8.3
8.7
8.5
8.8
8.5
9.2
1988
8.6
7.9
8.0
7.3
7.6
7.6
8.4
8.7
8.7
9.1
9.0
9.2
1989
7.4
8.0
7.3
7.6
7.6
8.4
8.6
8.6
9.2
9.0
9.3
1990
8.7
7.3
8.1
7.2
7.7
7.8
8.5
8.8
8.6
8.9
8.7
9.6
Distribution figures for the regions showed that the most
populous Southern States registered 32 percent of all
reported robberies. Following were the Northeastern States
with 28 percent, the Western States with 22 percent, and
the Midwestern States with the remainder.
Trend
Nationally, the 1 990 robbery volume was 1 1 percent
higher than the 1989 level. In the Nation's cities overall,
robbery jumped 12 percent, the greatest increase being in
those with populations of 500,000-999,999, 19 percent.
The suburban counties experienced a 6-percent increase,
while the rural counties recorded the only decline, 1
percent.
Two-year trends show the number of robberies in 1990
was up in all four regions as compared to 1989. The
increases were 9 percent in both the Northeast and the
South, 11 percent in the Midwest, and 14 percent in the
West.
The accompanying chart depicts the trend in the robbery
volume, as well as the robbery rate, for the years 1986-
1990. In 1990, the number of robbery offenses was 18
percent higher than in 1986 and 8 percent above the 1981
total.
Rate
The national robbery rate in 1990 was 257 per 100,000
people, 10 percent higher than in 1989. In metropolitan
areas, the robbery rate was 322; in cities outside metropoli-
tan areas, it was 63; and in the rural areas, it was 16. With
1,139 robberies per 100,000 inhabitants, the highest rate
was recorded in cities with a million or more inhabitants.
A comparison of 1989 and 1990 regional rates per
100,000 inhabitants showed the rates of 199 in the
Midwest and 263 in the West were each up 12 percent. The
rates were 237 in the South and 353 in the Northeast, both
up 9 percent from 1989.
Nature
In 1990, a total estimated national loss of $501 million
was due to robberies. The value of property stolen during
robberies averaged $783 per incident. Average dollar losses
ranged from $341 taken during robberies of convenience
stores to $3,244 per bank robbery. The impact of this
violent crime on its victims cannot be measured in terms
of monetary loss alone. While the object of a robbery is to
obtain money or property, the crime always involves force
or threat of force, and many victims suffer serious personal
injury.
As in previous years, robberies on streets or highways
accounted for more than half (56 percent) of the offenses in
this category. Robberies of commercial and financial
establishments accounted for an additional 22 percent, and
those occurring at residences, 10 percent. The remainder
were miscellaneous types. By type, all categories of robbery
showed increases from 1989 to 1990. The increases ranged
from 4 percent for convenience store robberies to 18
percent for bank robberies.
Robbery, Percent Distribution, 1990
(By region]
United
States
Total
North-
eastern
Suies
Mid-
western
States
Southern
States
Western
States
Total'
100.0
100.0
100.0
100.0
100.0
Street/hiahwav
56.1
11.5
2.7
6.1
9.8
1.5
12.4
64.7
8.6
2.4
2.0
9.4
.9
12.0
58.9
9.8
3.4
3.7
8.9
1.0
14.3
49.1
13.0
2.8
11.2
11.9
1.3
10.7
52.8
Commercial house
Gas or service station . . .
Convenience store
14.2
2.5
5.9
8.0
Bank
2.8
13.7
'Because of rounding, perccnlages may not add lo lolals.
19
Robbery by Month 1990
Variation from Montiiiy Averase
c
Jan. Feb. IVIar. Apr. IVtay Juii. Jul. Ai^ Sept. Oct. Nov. Oec.
Robbery
Percent Change
from 1986
Number of Offenses
Known -Up 18%
Rale per 100,000
Inhabilants - Up 14%
1990
20
Robbery* Percent Distribution, 1990
[By population group]
Group I (60
cities, 250,000
and over.
population
43,250.000)
Group 11 (125
cities. 100,000 to
249,999; popula-
tion 18.180.000)
Group III (332
cities, 50.000 to
99.999; popula-
tion 22.598,000)
Group IV (656
cities, 25,000 to
49.999; popula-
tion 22,731,000)
Group V (1.541
cities. 10.000 to
24.999; popula-
tion 24.329.000)
Group VI (6.310
cities under
10,000; popula-
tion 21,954,000)
County
agencies
(3,860 agencies;
population
74,089,000)
Total'
100.0
100.0
100.0
100.0
100.0
100.0
100.0
63.3
9.7
2.0
3.«
9.0
1.0
11.5
55.2
12.4
2.8
7.3
9.9
1.8
10.7
48.9
14.1
3.5
8.3
9.1
2.3
13.9
44.5
14.6
4.1
9.3
10.2
2.6
14.8
37.4
15.3
5.4
11.4
11.2
2.5
16.8
30.4
15.9
4.9
13.6
11.3
2.6
21.3
35.4
15.7
Gas or service station
4.8
13.3
14.1
Bank
2.4
14.2
'Because of rounding, percentages may not add to totals.
Forty-two percent of all robberies in 1990 were commit-
ted through the use of strong-arm tactics. Firearms were
used in 37 percent, knives or cutting instruments in 12
percent, and other weapons in the remainder. A compari-
son of 1989 and 1990 robbery totals by weapon showed
those by firearms were up 22 percent; those by strong-arm
tactics rose 8 percent; and those by knives or cutting
instruments and other dangerous weapons increased 2
percent.
Robbery, Type of Weapons Used, 1990
[Percent disiribulion by region]
Total
all
weapons'
Armed
Region
Fire-
arms
Knives or
cutting
instru-
ments
Other
weapons
Strong-
armed
Total
100.0
36.6
12.0
9.5
41.9
Northeastern States . . . .
Midwestern States
Southern States
100.0
100.0
100.0
100.0
31.8
38.9
41.7
33.9
15.3
8.9
9.7
13.2
9.4
10.3
9.9
8.7
43.5
41.9
38.8
44.1
'Because of rounding, percentages may not add to totals.
Clearances
Twenty-five percent of the robbery offenses reported to
law enforcement were cleared during 1990. The highest
robbery clearance rate — 37 percent — was registered by
rural county law enforcement agencies. Suburban county
agencies cleared 29 percent and those in cities, 24 percent.
Regional robbery clearance percentages were 28 percent in
the South, 27 percent in the West, 23 percent in the
Northeast, and 20 percent in the Midwest.
Nationally and in cities, persons under the age of 18
were the offenders in 14 percent of all 1990 robbery
clearances. This age group accounted for 1 7 percent of the
suburban county clearances and 10 percent of the rural
county clearances.
Persons Arrested
Arrests for robbery rose 1 1 percent nationwide during
1990 when compared to 1989. For the same 2-year period,
increases in the number of persons arrested for robbery
were 12 percent in the cities collectively and 5 percent in
the suburban counties. In the rural counties, robbery
arrests decreased 6 percent.
Sixty-two percent of all robbery arrestees in 1 990 were
under 25 years of age, and 92 percent were males. Sixty-
one percent of those arrested were black, 38 percent were
white, and the remainder were of other races.
The total number of robbery arrests was up 19 percent
during the 5-year period, 1986-1990. For the same time-
span, arrests of females for robbery jumped 27 percent,
and male arrests increased 18 percent. Juvenile arrests rose
23 percent, and those of persons 18 years of age and older
increased 18 percent.
21
street Robbery
25
FonxBtigD QmcD uUdu 1986
up2r«
20
A
Percent
r
V
■^^ '
\y^
•5
""
~-^\
^--^
-10
]
986
1987 1988 1989
1990
Robbery of Commercial House
16
12
S 8
a. * ■
Perceotige Chnce frora 1986
Up 16%
1986 1987
1988
1989 1990
Robbery of Gas Station
e
w
u
EU
Robbery of Convenience Store
30
25 ■
20
IS
10
5
0
1986
■Of
bom 1986
1987
1988
1989
1990
B
Robbery of Residence
Pereoitagc Ouaie from 1986
NoChuge
1989
1990
E
lank Robbery
40 r
Porcectage Ottnge from l^
3B
A
30
A
f
u 20
0- 15
10
s
^^
-^^
0
1986
1987 1988 1989
'"^ 4
22
AGGRAVATED ASSAULT
DEFINITION
Aggravated assault is an unlawful attack by one person upon another for the
purpose of inflicting severe or aggravated bodily injury. This type of assault is usually
accompanied by the use of a weapon or by means likely to produce death or great
bodily harm. Attempts are included since it is not necessary that an injury result
when a gun, knife, or other weapon is used which could and probably would result in
serious personal injury if the crime were successfully completed.
TREND
Year Number of offenses
1989 951.707
1990 1,054.863
Percent change +10.8
Rate per 100.000
inhabitants
383.4
424.1
+ 10.6
23
Volume
Totaling an estimated 1,054,863 offenses nationally,
aggravated assaults in 1990 accounted for 58 percent of the
violent crimes. Geographic distribution figures show that
38 percent of the aggravated assault volume was accounted
for by the South, 25 percent by the West, 20 percent by the
Midwest, and 18 percent by the Northeast.
The 1 990 monthly figures show that the greatest number
of aggravated assaults was recorded during July, while the
lowest volume occurred in February.
Aggravated Assault by Month, 1986-1990
[Percent of annual total]
Months
January
February
March
April
May
June
July
August . . .
September
October
November
December
1986
6.8
6.3
8.0
8.1
9.1
9.7
10.0
10.0
8.8
8.3
7.6
7.4
1987
7.3
7.0
7.8
8.1
8.9
8.9
9.5
9.5
8.7
8.5
7.9
7,8
1988
7.2
7.0
7.9
8.1
8.9
9.0
9.8
9.8
9.0
8.4
7.5
7.5
1989
7.5
6.6
7.9
8.1
8.9
8.9
9.6
9.2
8.8
9.1
7.9
7.5
1990
7.4
6.7
7.8
8.2
9.0
9.4
10. 1
9.3
8.9
8.3
7.4
7.5
Trend
In 1 990, aggravated assaults were up 1 1 percent nation-
wide. Upswings in volume were evident in all regions and
population groups as well, 1990 versus 1989. All cities
collectively recorded a 10-percent increase, with cities of
populations from 50,000 to 99,999 recording the greatest
rise, 17 percent. The suburban counties registered an 8-
percent increase and the rural counties, a 9-percent rise for
the 2-year period.
During the same time period, the South registered a 16-
percent upswing in its aggravated assault volume, and the
Midwest, a 12-percent rise. Increases of 7 and 5 percent
were recorded in the West and Northeast, respectively.
Five- and 10-year trends show aggravated assaults up 26
percent above the 1986 level and 59 percent over the 1981
experience.
Rate
Up 11 percent above the 1989 rate, there were 424
reported victims of aggravated assault for every 100,000
people nationwide in 1990. The rate was 23 percent higher
than in 1986 and 46 percent above the 1981 rate.
Higher than the national average, the rate in metropoli-
tan areas was 478 per 100,000 in 1990. Cities outside
metropolitan areas experienced a rate of 357, and rural
counties, a rate of 163.
Regionally, the aggravated assault rates ranged from 49 1
per 100,000 people in the West to 346 per 100,000 in the
Midwest. The rate in the South for 1990 was 472, and in
the Northeast, 366. Aggravated assauh rates rose in all
geographic regions in 1990 over 1989. The increases were
16 percent in the South, 13 percent in the Midwest, 5
percent in the West, and 4 percent in the Northeast.
Nature
In 1990, 32 percent of the aggravated assaults were
committed with blunt objects or other dangerous weapons.
Of the remaining weapon categories, personal weapons
such as hands, fists, and feet were used in 26 percent of the
offenses; firearms in 23 percent; and knives or cutting
instruments in the remainder.
Assaults with firearms showed the greatest increase from
1989 to 1990, 14 percent. Those committed with personal
weapons and with knives or cutting instruments were each
up 7 percent, and those involving blunt objects or other
dangerous weapons increased 10 percent.
Aggravated Assault, Type of Weapons Used, 1990
(Percent distribution by region]
Region
Total
all
weapons'
Fire-
arms
Knives or
cutting
instru-
ments
Other
weapons
(clubs,
blunt
objects,
etc.)
Personal
weapons
Total
100.0
23.1
19.5
31.9
25 5
Northeastern States
100.0
100.0
100.0
100.0
17.4
25.6
26.4
20.6
22.6
19.7
21.0
15.3
34.0
34.1
31.4
29.6
26.1
20 5
21.3
Western States
34 5
'Because of rounding, percentages may not add to totals.
24
Ass>'avatecl Assault by Month 1990
Variation from Monthly Average
u
Jan. Feb. IVIar: A.pr. IVIay Jun. Jul. Au^ Sept- Oct. Nov. Dec
C
U
PU
Assravated
Assault
Percent Change
from 1986
Number of Oftenscs
Known - Up 26%
Rale per UK).()00
Inhabilanls - Up 2V/c
1986
1987
1988
1989
1990
25
Clearances
During 1990, law enforcement agencies nationwide
cleared 57 percent of the aggravated assaults reported. The
cities collectively reported a 56-percent clearance rate,
while the suburban and rural county law enforcement
agencies cleared 61 and 64 percent, respectively. Among
the city groupings, those with populations under 10,000
recorded the highest clearance rate, 66 percent.
Regional clearance percentages for aggravated assault
were 61 percent in the Western States, 59 percent in the
Southern States, 54 percent in the Northeastern States, and
53 percent in the Midwestern States.
Ten percent of the clearances reported nationally and in
cities involved only persons under age 18. Persons in this
age group were identified as the assailants in 1 1 percent of
the suburban county clearances and 7 percent of those in
rural counties.
Persons Arrested
The estimated 475,330 persons arrested for aggravated
assault in 1 990 represented two-thirds of all arrestees for
violent crimes. Whites comprised 60 percent of the ar-
restees; blacks, 38 percent; and all other races, the remain-
der. Eighty-seven percent of the arrestees were males and
13 percent, females.
Total arrests, as well as arrests of adults, for aggravated
assauh were up 12 percent in 1990 from the 1989 total.
During this 2-year period, arrests of persons under age 1 8
increased 16 percent. A comparison of 1986 and 1990
figures showed increases of 43 percent for total arrests, 49
percent for juvenile arrests, and 42 percent for adult
arrests.
26
BURGLARY
DEFINITION
The Uniform Crime Reporting Program defines burglary as the unlawful entry of a
structure to commit a felony or theft. The use of force to gain entry is not required to
classify an offense as burglary. Burglary in this Program is categorized into three
subclassifications: forcible entry, unlawful entry where no force is used, and
attempted forcible entry.
TREND
Year Number of offenses
1989 3.168.170
1990 3.073.909
Percent change —3.0
Rate per 100.000
inhabitants
1.276.3
1.235.9
-3.2
27
Volume
An estimated 3,073,909 burglaries occurred in the
United States during 1990. These offenses accounted for
2 1 percent of the total Crime Index and 24 percent of the
property crimes.
Distribution figures for the regions showed that the
highest burglary volume occurred in the most populous
Southern States, accounting for 42 percent of the total. The
Western States followed with 22 percent, the Midwestern
States with 19 percent, and the Northeastern States with 17
percent.
As in previous years, more burglaries occurred in August
than any other month. The lowest number was reported in
February.
Burglary by Month, 1986-1990
[Percent of annual total]
Months
January
February
March . . . .
April
May
June
July
August . . .
September
October
November
December
1986
8.4
7.5
8.3
7.9
8.1
8.1
8.9
9.0
8.5
8.4
8.1
1987
8.4
7.8
8.3
7.6
8.0
8.0
8.8
9.1
8.4
8.4
8.4
8.8
1988
8.4
7.8
8.1
7.5
8.1
8.0
8.8
9.3
8.6
8.5
8.4
8.5
1989
8.8
7.3
8.2
7.7
8.4
8.3
9.2
9.3
8.6
8.5
8.1
7.8
1990
8.8
7.5
8.1
7.8
8.1
7.9
8.9
9.0
8.3
8.5
8.3
8.7
Trend
Nationwide, the burglary volume decreased 3 percent in
1990 from the 1989 total. By population, decreases were
registered in all city groupings with the greatest decline in
cities of 250,000-499,999 in population, 7 percent.
Geographically, three of the four regions of the United
States reported decreases in burglaries during 1990 as
compared to 1989. The declines equaled 4 percent in the
Western, Midwestern, and Southern States. The only
increase in burglary volume occurred in the Northeastern
States with a 1 -percent rise.
Longer term trends show burglary down 5 percent from
the 1986 volume and 19 percent below the 1981 level.
Rate
A burglary rate of 1,236 per 100,000 inhabitants was
registered nationwide in 1990. The rate fell 3 percent from
1989 and was 25 percent below the 1981 rate. In 1990, for
every 100,000 in population, the rate was 1,356 in the
metropolitan areas, 1,053 in the cities outside metropoli-
tan areas, and 671 in the rural counties.
Regionally, the burglary rate was 1 ,498 in the Southern
States, 1,304 in the Western States, 1,020 in the Northeast-
em States, and 983 in the Midwestern States. A compari-
son of 1989 and 1990 rates showed decreases of 6 percent
in the West, 4 percent in the South, and 3 percent in the
Midwest. A 1-percent increase was reported in the North-
east.
Nature
Two of every 3 burglaries in 1 990 were residential in
nature. Seventy percent of all burglaries involved forcible
entry, 22 percent were unlawful entries (without force), and
the remainder were forcible entry attempts. Offenses for
which time of occurrence was reported were evenly divided
between day and night.
Burglary victims suffered losses estimated at $3.5 billion
in 1990, and the average dollar loss per burglary was
$1,133. The average loss for residential offenses was
$1,143, while for nonresidential property, it was $1,110.
Both residential and nonresidential burglaries showed
declines from 1989 to 1990, 4 and 3 percent, respectively.
Clearances
Geographically, 14 percent of the burglaries brought to
the attention of law enforcement agencies across the
country were cleared in 1990. In the South, the clearance
rate was 1 5 percent; in the West and Northeast, 1 3 percent;
and in the Midwest, 12 percent.
Rural county law enforcement cleared 1 6 percent of the
burglaries in their jurisdictions. Agencies in suburban
counties cleared 14 percent, and in cities, 13 percent.
Adults were involved in 81 percent of all burglary
offenses cleared, and only young people under 1 8 years of
age were offenders in the remaining 1 9 percent. Similar to
the national experience, persons under age 18 accounted
for 1 9 percent of the burglary clearances in cities. Rural
county law enforcement agencies reported 20 percent of
their burglary clearances involved only juveniles, while
suburban county agencies registered 21 percent. The
highest degree of juvenile involvement was recorded in the
Nation's smallest cities (under 10,000 in population) where
young persons under 18 years of age accounted for 26
percent of the clearances.
28
Burslary by Month 1990
Variation from Monthly Averasc
u
•Ift ^
Ji»n. Feb. TVIan Apr. May Jun. Jul. Aii«j. Sept. Oct. IS'ov. Oce-
C
Burglary
Percent Chanse
from 1986
Number of Offenses
Known - Down 5%
Rate per lOO.OOO
Inhabitants - Down H',i
1986
1987
1988
1989
1990
29
Residence Burslary-Nishttime
fmotaump Cbmap bom IWW
Damn*
1999
Residence Bursiary-Daytime
PmeuttgB Ouage ftom 1986
DowbM
8 p
6 .
4 .
2 -
0 -
-2 -
-4 -
-« -
-« -
-10 -
1986
1J»7
1988
1989
1990
Nonresidence Bursiary-Daytime
14
Pwctttfiflfi vSmsB ntxB 1986
Up 6*
12
^^^^^^
Percent
y^^^S
i;
4
/
2
0
1986 1987 1988 1989 1990
Nonresidence Burgiary-Nishttime
PBoesixo OuBge tram 1986
Dovno%
0
k
-1
L
s -2
^
Ol
£i -3
<s ^
i
-4
/-' ^\
-5
/ \^^
-6
/ \
198« 1987 1988 1989 1990
30
Persons Arrested virtually no change, while those for adults declined 3
In the UCR Program, several persons may be arrested in Percent. For the same 2-year time period, total burglary
connection with the clearance of one crime, or the arrest of arrests declined 1 percent in cities, 6 percent in suburban
one individual may clear numerous offenses. The latter is counties, and 5 percent in the rural counties,
often true in cases of burglary for which an estimated Ninety-one percent of the burglary arrestees during 1990
432,600 arrests were made in 1990. Arrest trends between ^^''^ "^^'^^ and 65 percent were under 25 years of age. Of
1989 and 1990 show a 2-percent decrease in total burglary '^^ ^°^^' burglary arrestees, whites accounted for 68
arrests. Arrests of persons under 18 years of age showed Percent, blacks for 30 percent, and other races for the
remainder.
31
LARCENY-THEFT
DEFINITION
Larceny-theft is the unlawful taking, carrying, leading, or riding away of property
from the possession or constructive possession of another. It includes crimes such as
shoplifting, pocket-picking, purse-snatching, thefts from motor vehicles, thefts of
motor vehicle parts and accessories, bicycle thefts, etc., in which no use of force,
violence, or fraud occurs. In the Uniform Crime Reporting Program, this crime
category does not include embezzlement, "con" games, forgery, and worthless
checks. Motor vehicle theft is also excluded from this category inasmuch as it is a
separate Crime Index offense.
TREND
Year Number of offenses
1989 7,872.442
1990 7,945.670
Percent change + .9
Rale per 100.000
inhabitants
3.171.3
3,194.8
+ .7
32
Volume
Estimated at nearly 8 million ofTenses during 1990,
larceny-thefts comprised 55 percent of the Crime Index
total and 63 percent of the property crimes. Similar to the
experience in previous years, larceny-thefts were recorded
most often during August and least frequently in February.
When viewed geographically, the most populous Southern
States recorded 37 percent of the larceny-theft total. The
Western and Midwestern States each registered 23 percent;
and the Northeastern States, 17 percent.
Larceny-Theft by Month, 1986-1990
[Percent of annual total]
Months
January
February
March
April
May
June
July
August . . .
September
October
November
E)ecember
1986
7.8
7.2
8.3
8.2
8.4
8.6
9.1
9.3
8.4
8.5
7.9
8.3
1987
7.6
7.5
8.3
8.0
8.2
8.5
9.1
9.2
8.4
8.6
8.1
8.4
1988
7.6
7.5
8.2
7.8
8.3
8.5
9.0
9.5
8.5
8.7
8.2
8.3
1989
8.0
7.2
8.2
8.0
8.6
8.7
9.2
9.5
8.3
8.6
8.0
7.7
1990
8.2
7.4
8.2
7.9
8.3
8.3
8.9
9.1
8.2
8.7
8.1
8.4
Trend
Compared to 1989, the 1990 volume of larceny-thefts
increased 1 percent in the Nation and less than 1 percent in
all cities collectively. The suburban and rural counties
showed increases of 2 percent and 3 percent, respectively.
Regionally, volume upswings of 2 percent were recorded
in both the Midwestern and the Southern States. The
Northeastern States showed a 1 -percent increase, while the
Western States registered a 1 -percent decline.
The 5- and 10-year national trends indicated larceny was
up 9 percent over the 1986 total and rose 10 percent above
the 1981 level.
Rate
The 1990 larceny-theft rate was 3,195 per 100,000
United States inhabitants. The 1990 rate was 1 percent
higher than in 1989, 6 percent above the 1986 level, and 2
percent above the 1981 level. The 1990 rate was 3,533 per
100,000 inhabitants of metropolitan areas; 3,559 per
100,000 population in cities outside metropolitan areas;
and 1,024 per 100,000 people in the rural counties.
Regionally, the rates of 3,471 in the South and 3,024 in
the Midwest were up 2 and 3 percent, respectively, over
1989 levels. The Northeast's 1990 rate of 2,598 per
100,000 inhabitants was up less than 1 percent, while the
rate per 100,000 inhabitants in the West, 3,515, was 3
percent lower than the year before.
Nature
During 1990, the average value of property stolen due to
larceny-theft was $480, up from $462 in 1989. When the
average value was applied to the estimated number of
larceny-thefts, the loss to victims nationally was $3.8
billion for the year. This estimated dollar loss is considered
conservative since many offenses in the larceny category,
particularly if the value of the stolen goods is small, never
come to law enforcement attention. Losses in 24 percent of
the thefts reported to law enforcement in 1990 ranged from
$50 to $200, while in 36 percent, they were over $200.
Losses of goods and property reported stolen as a result
of potket-picking averaged $355; purse-snatching, $278;
and shoplifting, $115. Thefts from buildings resulted in an
average loss of $791; from motor vehicles, $541; and from
coin-operated machines, $147. The average value loss due
to thefts of motor vehicle accessories was $319 and for
thefts of bicycles, $215.
Thefts of motor vehicle parts, accessories, and contents
made up the largest portion of reported larcenies-37
percent. Also contributing to the high volume of thefts
were shoplifting, accounting for 16 percent; thefts from
buildings, 14 percent; and bicycle thefts, 6 percent. The
remainder were distributed among pocket-picking, purse-
snatching, thefts from coin-operated machines, and all
other types of larceny-thefts. The accompanying table
presents the distribution of larceny-theft by type and
geographic region.
Larceny Analysis by Region, 1990
[Percent distribution]
United
States
Total
North-
eastern
States
Mid-
western
States
Southern
States
Western
States
Total'
100.0
100.0
100.0
100.0
100.0
1.0
1.0
16.2
22.0
14.9
5.6
14.1
.8
24.4
3.6
2.1
13.6
22.8
15.1
5.7
18.5
1.2
17.5
.7
1.0
13.6
18.8
15.0
5.1
19.0
.6
26.1
.4
.8
16.8
19.7
16.4
4.6
10.5
.8
29.9
.5
.7
Shoplining
19.6
From motor vehicles
(except accessories) ....
Motor vehicle
accessories
27.6
12.4
7.4
12.0
From coin-operated
.6
All others
19.2
'Because of rounding, percentages may not add to totals.
33
4>
Larceny-Theft by Month 1990
Variation from Monthly Averase
15 r
•15 *•
Jan. Feb. iVIan Apr. IVtay Jun, Jul. Axt^ Sept. Oct. Nov. Oec
G
Larceny-
Theft
Percent Change
from 1986
Number of Offenses
Known - Up 9%
Rale per lOO.WX)
Inhabitants - Up (iVr
mi
1988
1989
1990
34
Clearances
Twenty percent of the reported larceny-thefts were
cleared nationwide during 1990. The cities collectively
recorded a 21 -percent clearance rate, with the highest rate,
25 percent, reported by law enforcement agencies in cities
from 10,000 to 24,999 in population. Both the suburban
and rural counties recorded 18-percent clearance rates.
In 1990, law enforcement agencies in the Western States
cleared 22 percent of the larceny offenses brought to their
attention. The clearance rates in the Southern and Mid-
western States were 20 percent, and in the Northeast, 19
percent.
Twenty-two percent of the larceny-theft clearances na-
tionally involved only offenders under 18 years of age.
Twenty-three percent of those in the cities and in suburban
counties and 18 percent of those in rural counties were
accounted for by persons in this age group.
Persons Arrested
Between 1989 and 1990, the total number of persons
arrested for larceny-theft increased 3 percent. Male arrests
were up 1 percent and those of females, up 6 percent.
During this same period, adult arrests were up 2 percent,
and those of persons under 1 8 years of age increased 4
percent.
Considering a longer timeframe, larceny-theft arrests
rose 12 percent for the 5-year period, 1986-1990. Those of
adults were up 16 percent, and of juveniles up 4 percent.
During this 5-year timespan, male and female arrests rose
10 and 16 percent, respectively.
Larceny-thefts not only comprised the largest portion of
Crime Index offenses reported to law enforcement, this
offense accounted for 53 percent of the arrests for Index
crimes and 70 percent of those for property crimes in 1990.
Forty-four percent of the larceny arrests were of persons
under 2 1 years of age, and 30 percent of the arrestees were
under 18. Females, who were arrested for this offense more
often than for any other in 1990, comprised 32 percent of
all larceny-theft arrestees.
Whites accounted for 67 percent of the total larceny-
theft arrestees, blacks for 30 percent, and all other races for
the remainder.
35
Pocket-Pickins
e
<u
Piirse-Snatchins
15W6
1987 1988 1989 1990
C
w
<u
a,
Shopliftins
25
Perocotige Oh«n« ftom 1986
20
15
^^^1
10
^-'■"^
S
0
^..
Theft from Motor Vehicles
1986
1987
1988
1989
liWO
Theft of Motor Vehicle Accessories
e
u
dtnue fioa 1986
0cm 3«
1986
1987
1988
1989
1990
-20 l-
1986
Theft of Bicycles
Pctceotege^nge firoa 1986
1987 1988 1989 1990
Theft from Buildinss
2
I^en(al•(e Cbnge (ram 1986
NoOxnte
Percent
-1
-2
19
8« 1987 1988 1989
1990
u
■w 9
B
0.
3 •
Theft from Coin Machines
PuMnUfe Ch»age from 1986
NoClinge
1986
1987 1988 1989 1990
36
LARCENY-THEFT
Percent Distribution by lype of Theft
1990
Purse-Snatching 1%
Pocket-Picking 1 %
Coin Machines 1 %
Shoplifting 16%
Bicycles 6%
From Motor Vehicles 22%
From Buildings 14%
Motor Vehicle
Accessories 15%
All Others 24%
37
MOTOR VEHICLE THEFT
DEFINITION
Defined as the theft or attempted theft of a motor vehicle, this offense category
includes the stealing of automobiles, trucks, buses, motorcycles, motorscooters,
snowmobiles, etc. The definition excludes the taking of a motor vehicle for
temporary use by those persons having lawful access.
TREND
Year Number of offenses
1989 1.564,800
1990 1,635,907
Percent change +4.5
Rate per 100,000
inhabitants
630.4
657.8
+4.3
38
Volume
An estimated total of 1,635,907 thefts of motor vehicles
occurred in the United States during 1990. These offenses
comprised 1 3 percent of all property crimes. The regional
distribution of motor vehicle thefts showed 3 1 percent of
the volume was in the Southern States, 25 percent each in
the Western and Northeastern States, and 1 8 percent in the
Midwestern States.
The 1990 monthly figures show that the greatest num-
bers of motor vehicle thefts were recorded during the
months of July, August, and October, while the lowest
count was in February.
Motor Vehicle Theft by Month, 1986-1990
[Percent of annual total)
Months
January
February
March
April
May
June
July
August . . .
September
October . .
November
December
1986
7.9
7.1
8.1
7.8
8.0
8.2
8.9
9.5
8.7
9.0
8.5
8.3
1987
7.9
7.5
8.4
7.9
8.0
8.1
8.8
9.0
8.4
8.8
8.5
8.7
1988
8.0
7.6
7.9
7.4
7.8
8.0
8.8
9.4
8.7
9.0
8.7
8.7
1989
8.3
7.3
8.1
7.5
8.0
8.2
8.8
9.0
8.5
9.0
8.7
8.5
1990
8.5
7.6
8.4
7.9
8.1
8.1
8.8
8.8
8.4
8.8
8.3
8.4
Trend
The number of motor vehicle thefts increased 5 percent
nationally from 1989 to 1990. This upward trend was
evident in all city population groupings with those having
populations of 500,000 to 999,999 showing the largest
increase, 1 1 percent. The rural counties showed an increase
of 3 percent, while the suburban counties recorded a
decline of less than 1 percent.
Geographically, all four regions experienced motor vehi-
cle theft increases. The increases were 6 percent in the
Northeastern Region, 5 percent in the Midwestern Region,
4 percent in the Southern Region, and 2 percent in the
Western Region.
The accompanying chart shows that the volume of
motor vehicle thefts in 1990 increased 34 percent over the
1986 volume.
Rate
The 1990 national motor vehicle theft rate — 658 per
100,000 people — was 4 percent higher than the rate in
1989. The rate was 30 percent higher than in 1986 and 39
percent above the 1981 rate.
For every 100,000 inhabitants living in MSAs, there
were 801 motor vehicle thefts reported in 1990. The rate in
cities outside metropolitan areas (other cities) was 232 and
in rural counties, 121. As in previous years, the highest
rates were in the Nation's most heavily populated munici-
palities, indicating that this offense is primarily a large-city
problem. For every 100,000 inhabitants in cities with
populations over 250,000, the 1990 motor vehicle theft
rate was 1,693. The Nation's smallest cities, those with
fewer than 10,000 inhabitants, recorded a rate of 257 per
100,000.
Among the regions, the motor vehicle theft rates ranged
from 818 per 100,000 people in the Northeastern States to
501 in the Midwestern States. The Western States' rate was
778 and the Southern States' rate, 598. All regions regis-
tered rate increases from 1989 to 1990. In both the
Northeastern and Midwestern States, the increase was 6
percent; in the Southern States, 4 percent; and in the
Western States, less than 1 percent.
An estimated average of 1 of every 1 1 9 registered motor
vehicles was stolen nationwide during 1990. Regionally,
this rate was greatest in the Northeast where 1 of every 82
motor vehicles registered was stolen. The other three
regions reported lesser rates — 1 per 105 in the West, 1 per
135 in the South, and 1 per 163 in the Midwest.
Nature
During 1990, the estimated value of motor vehicles
stolen nationwide was over $8 billion. At the time of theft,
the average value per vehicle stolen was $5,032.
Eighty percent of all motor vehicles reported stolen
during the year were automobiles, 1 5 percent were trucks
or buses, and the remainder were other types.
Motor Vehicle Theft, 1990
(Percent distribution by region]
Region
Total'
Autos
Trucks
and
buses
Other
vehicles
Total
100.0
79.7
14.5
5 8
Northeastern States
Midwestern States
Southern States
100.0
100.0
100.0
100.0
92.7
84.3
74.9
69.9
4.4
9.9
18.5
22.7
2.9
5.8
6 6
Western States
7 4
'Because of rounding, percentages may not add to totals.
39
Motor Vehicle Theft by Month 1990
Variation from Monthly Average
S 2 "I
O)
Jtin. Feb. IVIan Apr. IVIay .Jun. Jul. Ai^;. Sept- Oct. Nov, T>ec.
Motor
Vehicle
Theft
Percent Change
from 1986
Number of Offenses
Known - Up 34%
Rate per 100,000
Inhabitants - Up 30%
1986
1987
1988
1989
1990
40
Clearances
Law enforcement agencies nationwide cleared 15 per-
cent of the motor vehicle thefts reported in their locales
during 1990. Those in cities cleared 14 percent; those in
suburban counties cleared 17 percent; and rural county
agencies cleared 33 percent.
Regional clearance percentages for motor vehicle theft
were 10 percent in the Northeastern States, 14 percent in
the Western States, 16 percent in the Midwestern States,
and 18 percent in the Southern States.
Persons in the under- 18 age group accounted for 24
percent of the motor vehicle thefts cleared both nationally
and in cities. They comprised 22 percent of the clearances
in the suburban counties and 21 percent in the rural
counties.
Persons Arrested
During 1990, males accounted for 90 percent of the
persons arrested for motor vehicle theft. Fifty-nine percent
of the arrestees were white, 38 percent were black, and the
remainder were of other races.
A large proportion of motor vehicle theft arrestees was
accounted for by the younger segment of the population. In
1 990, 62 percent of all persons arrested for this offense
were under 2 1 years of age, and those under 1 8 comprised
43 percent of the total. Between 1989 and 1990, arrests of
persons under age 1 8 rose 4 percent. Within this age range,
arrests of males increased 3 percent, while those of females
were up 10 percent.
Total motor vehicle theft arrests were down 1 percent
and adult arrests declined 5 percent in 1990 from the
previous year. Overall arrests for this offense were 35
percent higher in 1990 than in 1986 and 62 percent above
the 1981 level.
41
ARSON
DEFINITION
Arson is defined by the Uniform Crime Reporting Program as any willful or
malicious burning or attempt to bum, with or without intent to defraud, a dwelling
house, public building, motor vehicle or aircraft, personal property of another, etc.
Only fires determined through investigation to have been willfully or maliciously
set are classified as arsons. Fires of suspicious or unknown origins are excluded.
42
Volume
A total of 102,874 arson offenses was reported by 12,695
law enforcement agencies across the country; these agen-
cies furnished from 1 to 12 months of reports during 1990.
Of these reporting agencies, 12,505 provided the detailed
information-type of structure, estimated monetary value
of the property damaged, etc.-from which the tables on the
accompanying pages were tabulated. Further information
regarding arson offenses and trends is presented in Tables
6 through 1 3 and arson clearances in Tables 20 through 23.
Since only 9,043 agencies covering 72 percent of the
United States population submitted reports for all 12
months of the year, the data user should be aware that,
while conservative indicators, the figures do not represent
the Nation's total arson experience.
Trend
The number of arson offenses reported nationally in-
creased 3 percent in 1990 as compared to the 1989 total.
Counts for the Nation's cities and suburban counties rose 2
and 6 percent, respectively, while the rural counties
registered virtually no change.
Geographically, arson increases were experienced in the
Northeast, 8 percent; and in the South and Midwest, 3
percent. A 1-percent decrease was recorded in the West.
By property type nationally, the number of arsons of
structures rose 2 percent; of mobile property increased 8
percent; while arsons of all other property decreased 2
percent.
Caution is recommended when viewing arson trend
information. The percent change figures may have been
influenced by improved arson reporting procedures during
the collection's relatively limited timespan. It is expected
that year-to-year statistical comparability will improve as
collection continues.
Arson Rate, Population Group, 1990
[9,043 agencies; 1990 population 179,278,000:
rate per 100,000 inhabitants]
Group
Rate
Total
49.2
Total cities
57.1
Group I (cities 250,000 and over)
94.8
105.6
(cities 500 000 to 999 999) . .
80.9
(cities 250 000 to 499,999)
88.0
Group II (cities 100,000 to 249,999) ....
Group III (cities 50,000 to 99,999)
Group IV (cities 25,000 to 49,999)
Group V (cities 10,000 to 24,999)
Group VI (cities under 10,000)
66.4
47.4
35.7
27.2
25.5
36.4
Rural counties
21.8
Suburban area
32.6
Rate
Since population coverage for arson data is lower than
for the other Crime Index offenses, arson rates per 100,000
inhabitants are tabulated independently. Based only on
figures from law enforcement agencies supplying 12
months of statistics for all Index crimes, including arson,
the 1990 rates are shown in the accompanying table.
The rates ranged from 106 per 100,000 inhabitants in
cities with populations over 1 million to 22 per 100,000
rural county inhabitants. The suburban counties and all
cities collectively recorded rates of 36 and 57 per 100,000
inhabitants, respectively. Overall, the 1990 national arson
rate was 49 per 100,000 population.
Regionally, the highest arson rate was registered in the
Western States with 56 offenses per 100,000 population.
Following were the Northeastern States with a rate of 48
per 100,000, the Southern States with 47 per 100,000, and
the Midwestern States with 46 per 100,000.
Nature
As in previous years, structures were the most frequent
targets of arsonists in 1990 and comprised 54 percent of
the reported incidents. Twenty-seven percent of the arsons
were directed at mobile property (motor vehicles, trailers,
etc.), while other types of property (crops, timber, etc.)
accounted for 19 percent.
Arson, Type of Property, 1990
112,505 agencies; 1990 population 199,592,000]
Property classification
Total
Total structure
Single occupancy residential
Other residential
Storage
Industrial/manufacturing
Other commercial
Community/public
Other structure
Total mobile
Motor vehicles
Other mobile
Other
■Because of rounding, percentages may not add to totals.
Residential property was involved in 62 percent of the
structural arsons during the year, with 45 percent of such
offenses directed at single-occupancy dwellings. Twenty
percent of all targeted structural property was either
uninhabited or abandoned at the time the arson occurred.
Motor vehicles comprised 93 percent of all mobile
property at which arsons were directed.
Number
of
offenses
Percent
distribution'
84,912
46,216
20,626
8,168
4,443
735
5,106
4,199
2,939
22,939
21,329
1,610
15,757
100.0
54.4
24.3
9.6
5.2
.9
6.0
4.9
3.5
27.0
25.1
1.9
18.6
43
Arson, Structures Not in Use, 1990
[12,505 agencies; 1990 population 199,592,000)
Type of structure
Totid
Single occupancy residential
Other residential
Storage
Industrial/manufacturing . . .
Other commercial
Community/public
Other structure
Number
of
offenses
46,216
20,626
8,168
4,443
735
5,106
4,199
2,939
Percent
not
in use
19.6
23.8
13.9
23.6
20.0
13.1
9.6
25.3
The monetary value of property damaged due to report-
ed arsons averaged $13,708 per incident in 1990. The
overall average for all types of structures was $22,717.
While industriaiymanufacturing property was the structur-
al classification with the lowest reported number of of-
fenses, it showed the highest average loss — $73,703. Mo-
bile properties averaged $4,208 per incident, and other
targets averaged $1,115.
Arson, Monetary Value of Property Damaged, 1990
[12,505 agencies; 1990 population 199,592,000]
Property classification
Total
Total structure
Single occupancy residential
Other residential
Storage
Industrial/manufacturing . . .
Other commercial
Community/public
Other structure
Total mobile
Motor vehicles
Other mobile
Other
Number
of
offenses
84,912
46,216
20,626
8,168
4,443
735
5,106
4,199
2,939
22,939
21,329
1,610
15,757
Average
damage
$13,708
22,717
25,617
13,049
13,718
73,703
37,572
16,450
13,230
4,208
3,835
9,157
1,115
Clearances
The national 1 990 arson clearance rate was 1 5 percent.
Agencies in cities with fewer than 25,000 inhabitants
showed the highest rate, clearing 24 percent of the arson
offenses brought to their attention. Rural county law
enforcement agencies cleared 21 percent; those in subur-
ban counties, 18 percent; and in cities, 14 percent.
Regionally, the Southern States recorded a clearance rate
of 21 percent; the Western States, 15 percent; and both the
Midwestern and Northeastern States, 1 1 percent.
Thirty-eight percent of all 1990 arson clearances in-
volved only young people under age 18, a higher percent-
age of juvenile involvement than for any other Index
crime. Persons in this age group accounted for 36 percent
of structural arson clearances, 22 percent of the clearances
for arsons of mobile property, and 56 percent of those of all
other property.
Arson, Offenses Cleared by Arrest,' 1990
(12,505 agencies^; 1990 population 199,592,000]
Property classification
Total
Total structure
Single occupancy residential
Other residential
Storage
Industrial/manufacturing
Other commercial
Community/public
Other structure
Total mobile
Motor vehicles
Other mobile
Other
Number
of
offenses
84,912
46,216
20,626
8,168
4,443
735
5,106
4,199
2,939
22,939
21,329
1,610
15,757
Percent
cleared
by arrest
17.7
21.7
21.8
22.7
16.5
14.7
16.0
35.8
17.7
9.3
8.8
17.0
18.0
'Includes offenses cleared by exceptional means.
H'o be included in this table, it was necessary that arson clearances be reported by
property classification.
By population grouping, juveniles were the offenders in
40 percent of the city arson clearances, 35 percent of those
in suburban counties, and 2 1 percent of those in the rural
counties.
The accompanying tables show clearance data only for
those 12,505 law enforcement agencies which were able to
furnish breakdowns by type for the structural and mobile
classifications. As can be seen, the highest clearance rate
(36 percent) was recorded for offenses in which community
or public structures were involved, while the lowest rate
(9 percent) was registered for motor vehicles.
Arson, Offenses Cleared by Arrest' of Persons under 18
Years of Age, 1990
(12.505 agencies^; 1990 population 199,592,000]
Property classiflcation
Percent
under 18
Total
Total structure
Single occupancy residential
Other residential
Storage
Industrial/manufacturing
Other commercial
Community/public
Other structure
Total mobile
Motor vehicles
Other mobile
Other
'Includes offenses cleared by exceptional means.
n'o be included in this table, it was necessary that arson clearances be reported by
property classification.
44
Persons Arrested Rural county agencies experienced a 22-percent increase
The estimated number of arrests for arson during 1990 ^"'l '^e Nation's cities, a 6-percent rise.
totaled 19,100. Forty-four percent of the arrestees were Nationwide, arrests of both adults and juveniles in-
under 18 years of age and 64 percent were under 25. Males '^^eased from 1989 to 1990, 9 and 5 percent, respectively.
comprised 87 percent of all arson arrestees. Seventy-five ^"""^ ^^e same period, male arrests for arson were up 7
percent of those arrested were white, 23 percent were P^'''^^"^ ^"d *'e'"ale arrests, up 6 percent.
black, and the remainder were of other races. The 1990 arson arrest total for all ages was 3 percent
Trends for 1989 versus 1990 show arson arrests in- higher than the 1986 level but 9 percent below the 1981
creased 7 percent nationwide and in the suburban counties, experience.
45
CRIME INDEX TABULATIONS
This Section's tabular portions present data on crime in
the United States as a whole; geographic divisions; individ-
ual states; Metropolitan Statistical Areas; cities, towns, and
counties; and college and university campuses. Also fur-
nished in the following tables are national averages for the
value of property stolen in connection with Crime Index
offenses; further breakdowns by type for the robbery,
burglary, larceny-theft, and arson classifications; and data
on the type and value of property stolen and recovered.
Although the total number of crimes occurring through-
out the Nation is unknown, information on those reported
to law enforcement gives a reliable indication of criminal
activity. In reviewing the tables in this report, it must be
remembered, however, that many factors can cause the
volume and type of crime to vary from place to place. Even
though population, one of these factors, is used in comput-
ing crime rates, all communities are affected to some
degree by seasonal or transient populations. Since counts
of current, permanent population are used in their con-
struction, crime rates do not account for short-term
population variables, such as an influx of day workers,
tourists, shoppers, etc. A further discussion of various
factors contributing to the amount of crime in a given area
is shown on page v of this publication.
National data can serve as a guide for the law enforce-
ment administrator in analyzing the local crime count, as
well as the performance of the jurisdiction's law enforce-
ment agency. The analysis, however, should not end with a
comparison based on data presented in this publication. It
is only through an appraisal of local conditions that a clear
picture of the community crime problem or the effective-
ness of the law enforcement operation is possible.
Note
The collection of statistics on arson as a Crime Index
offense began in 1979. However, 1990 annual figures are
not available for inclusion in tables presenting statistics for
the total United States. Arson totals reported by individual
law enforcement agencies are displayed in Tables 6 through
9. Two-year arson trends are shown in Tables 10 through
13.
46
10
9
^^ Crime
8 ■
jir Index
Total
]
Percent Chanse
from 1986
'' Number of Offenses
N*^
Known - Up lOVf
n E
■ Rate per 100.000
Inhabitants - Up 6%
0 SB ' ' '
1986 1987 1988 1989 1990
47
Burglary
21%
Larceny-Theft
55%
Aggrav
Assaul
7%
Robbery
4% '
Forcibk
Rape
1%
Murder
>.2%
Motor
Vehicle
Theft
11%
48
Resional Violent and Property Crime
Rates 1 990
(per 100,000 inhabitants)
4,437
49
Crime Index Total
The Crime Index total rose 2 percent to 14.5 million
offenses in 1990. Five- and 10-year percent changes
showed the 1 990 total was 1 0 percent above the 1 986 level
and 8 percent higher than in 1981.
From 1989 to 1990, overall violent crime showed an 1 1-
percent increase. The number of property crimes increased
less than 1 percent for the 2-year period.
The largest volume of Crime Index offenses occurred in
the Southern States which accounted for 37 percent of the
total. Following were the Western States with 23 percent,
the Midwestern States with 21 percent, and the Northeast-
em States with 18 percent.
Crime rates relate the incidence of crime to population.
In 1990, there were an estimated 5,820 Crime Index
Table 1.— Index of Crime, United States, 1981-1990
offenses for each 100,000 in population nationwide. The
violent crime rate was 732, and for property crime, it was
5,088 per 100,000.
Regionally, the Crime Index rates per 100,000 inhab-
itants ranged from 6,405 in the West to 5,102 in the
Midwest. The South registered a rate of 6,334 per 100,000
inhabitants, and the Northeast, 5,193.
National estimates of volume and rate per 100,000
inhabitants for all Crime Index offenses covering the past
decade are set forth in Table 1, "Index of Crime,
United States, 1981-1990."
Table 2, "Index of Crime, United States, 1990," shows
current year estimates for MSAs, rural counties, and cities
and towns outside metropolitan areas (other cities). See
Appendix III for the definitions of these community types.
Population'
Crime
Index
total^
Modified
Crime
Index
total'
Violent
crime'
Property
crime*
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson'
Number of Oflenses
Population by year
1981-229,146,000
13,423,800
12,974,400
12,108,600
11,881,800
12,431,400
13,211,900
13,508,700
13,923,100
14,251,400
14,475,600
+ 1.6
+9.6
+7.8
1,361,820
1,322,390
1,258,090
1,273,280
1,328,800
1,489,170
1,484,000
1,566,220
1,646,040
1,820,130
+ 10.6
+22.2
+33.7
12,061,900
11,652,000
10,850,500
10,608,500
11,102,600
11,722,700
12,024,700
12,356,900
12,605.400
12,655,500
+.4
+8.0
+4.9
22,520
21,010
19,310
18.690
18,980
20,610
20,100
20,680
21,500
23,440
+9.0
+ 13.7
+4.1
82,500
78,770
78,920
84,230
88,670
91,460
91,110
92,490
94,500
102,560
+8.5
+ 12.1
+24.3
592,910
553,130
506,570
485,010
497,870
542,780
517,700
542,970
578,330
639,270
+ 10.5
+ 17.8
+7.8
663,900
669,480
653,290
685,350
723,250
834,320
855,090
910,090
951,710
1,054,860
+ 10.8
+26.4
+58.9
3,779,700
3,447,100
3,129,900
2,984,400
3,073,300
3,241,400
3,236,200
3,218,100
3,168,200
3,073,900
-3.0
-5.2
-18.7
7,194,400
7,142,500
6,712,800
6,591,900
6,926,400
7,257,200
7,499,900
7,705,900
7,872,400
7,945,700
+.9
+9.5
+ 10.4
1,087,800
1,062,400
1,007,900
1,032,200
1,102,900
1,224.100
1,288,700
1,432,900
1,564,800
1,635,900
+4.5
+33.6
+50.4
1982-231,534,000
1983-233,981,000
1984-236,158,000
1985-238,740,000
1986-241,077,000
1987-243,400,000
1988-245,807,000
1989-248,239,000
1990-248,709,873
Percent change: number of
offenses:
1990/1989
1990/1986
1990/1981
Rate per 100,000 Inhabitants
Year.
1981
5,858.2
5,603.6
5,175.0
5,031.3
5,207.1
5,480.4
5,550.0
5,664.2
5,741.0
5,820.3
+ 1.4
+6.2
-.6
594.3
571.1
537.7
539.2
556.6
617.7
609.7
637.2
663.1
731.8
+ 10.4
+ 18.5
+23.1
5,263.9
5,032.5
4,637.4
4,492.1
4,650.5
4,862.6
4,940.3
5,027.1
5,077.9
5088.5
+.2
+4.6
-3.3
9.8
9.1
8.3
7.9
7.9
8.6
8.3
8.4
8.7
9.4
+8.0
+9.3
-4.1
36.0
34.0
33.7
35.7
37.1
37.9
37.4
37.6
38.1
41.2
+8.1
+8.7
+ 14.4
258.7
238.9
216.5
205.4
208.5
225.1
212.7
220.9
233.0
257.0
+ 10.3
+ 14.2
-.7
289.7
289.2
279.2
290.2
302.9
346.1
351.3
370.2
383.4
424.1
+ 10.6
+22.5
+46.4
1,649.5
1,488.8
1,337.7
1,263.7
1,287.3
1,344.6
1,329.6
1,309.2
1,276.3
1,235.9
-3.2
-8.1
-25.1
3,139.7
3,084.8
2,868.9
2,791.3
2,901.2
3.010.3
3,081.3
3,134.9
3.171.3
3,194.8
+.7
+6.1
+ 1.8
474.7
458.8
430.8
437.1
462.0
507.8
529.4
582.9
630.4
657.8
+4.3
+29.5
+38.6
1982
1983
1984
1985
1986
1987
1988
1989
1990
Percent change: rale per 100,000
inhabitants:
1990/1989
1990/1986
1990/1981
'Populations are Bureau of the Census provisional estimates as of July I, except 1990 which are the decennial census counts and are subject to change.
'Because of rounding, the ofTenses may not add to totals.
'Although arson data are included in the trend and clearance tables, sufficient data are not available to estimate totals for this offense.
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, and motor vehicle theft. DaU are not included
for the property crime of arson.
All rales were calculated on the offenses before rounding.
Provided in Table 3, "Index of Crime, Regional Offense
and Population Distribution, 1990," are data showing the
geographical distribution of estimated Index crimes and
population. When utilizing figures presented on a regional
basis in this publication, the reader is cautioned to
consider each region's proportion of the total United States
population. For example, although the Southern States
accounted for the largest volume of Crime Index offenses
in 1 990, they also represented the greatest regional popula-
tion.
50
Tabic 2.— Index of Crime, United States, 1990
Area
Population'
Crime
Index
total
Modified
Crime
Index
total'
Violent
crime'
Property
crime'
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson'
llihcd States Total
248,709,873
14,475,613
5,820.3
1,820,127
731.8
12,655,486
5,088.5
23,438
9.4
102,555
41.2
639,271
257.0
1,054,86;
424.1
3,073,909
1,235.9
7,945,670
3,194.8
1,635307
657.8
Rate per 100.000
inhabitants
MctropoUttii
Statbdctl Area
192,523,468
98.0%
100.0%
12,448,587
12,604,801
6,547.2
1,099,180
1,187,513
5,302.6
624,352
683,299
2,022.1
1,634,950
1,647,808
855.9
94,444
102,483
457.6
62,670
69,836
206.7
10,813,637
10,956,993
5.691.3
1,004,736
1,085,030
4,845.0
561,682
613,463
1,815.4
20,198
20,335
10.6
1,066
1,174
5.2
1,691
1,929
5.7
86,599
87.697
45.6
6,762
7,297
32.6
6,911
7,561
22.4
617,080
619,947
322.0
12,856
14,006
62.5
4,796
5,318
15.7
911,073
919,829
477.8
73,760
80,006
357.3
49.272
55,028
162.8
2,578,413
2,611,432
1,356.4
217,330
235,876
1,053.3
207,252
226,601
670.6
6,706,679
6,802,603
3,533.4
739,492
797,113
3,559.3
317,169
345,954
1,023.8
1,528,545
1,542,958
801.4
47,914
52,041
232.4
37,261
40,908
121.1
Area actually reporting*
Rale per 100,000
inhabitants
Other CItkt
22J9<94S
92.8%
100.0%
Area actually reporting*
Rate per 100.000
inhabitants
Bail Coudcs
33,791,460
88.7%
100.0%
Area actuaUy reporting*
Estimated totals
Rale per 100,000
inhabitants
'Populations are Bureau of the Census 1990 decennial census counts and are subject to change.
'Although arson data are included in the trend and clearance tables, sufficient data are not available to estimate totals for this ofTense.
'Violent crimes are ofTenses of murder, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, and motor vehicle
the property crime of arson.
*The percentage representing area actually reporting will not coincide with the ratio between reported and estimated crime totals, since these data represent
individual states which have varying populations, portions reporting, and crime rates.
theft. Data are not included for
the sum of the calculatioiu for
Table 3.— Index of Crime, Regional Offense and Population Distribution, 1990
Region
Population
Crime
Index
total
Modified
Crime
Index
total'
Violent
crime'
Property
crime'
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson'
Unhed States TolaP
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
20.4
24.0
34.4
21.2
18.2
21.0
37.4
23.4
21.1
19.5
36.0
23.4
17.8
21.3
37.6
23.3
18.6
17.8
43.1
20.5
14.3
24.8
37.8
23.1
28.0
18.5
31.7
21.7
17.6
19.6
38.2
24.6
16.9
19.1
41.6
22.4
16.6
22.7
37.3
23.3
25.4
18.3
31.2
25.1
Midwestern States
Western States
'Although arson data are included in the trend and clearance tables, sufficient data are not available to estimate totals for this offense.
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, and motor vehicle theft. Data are not included for
the property crime of arson.
'Because of rounding, percentages may not add to totals.
51
Table 4.— Index of Crime: Region, Geographic Division, and State, 1989-1990
Area
Year
Population'
Crime Index lotal
Number
Rate per
100,000
Modified Crime
Index total'
Number
Rate per
100,000
Violent crime'
Number
Rate per
100,000
Property crime'
Number
Rate per
100,000
Murder and non-
negligent manslaughter
Number
Rate per
100,000
Uiited Stxcs Total'
Pcrctat change
Northcut
Perteat chaa(C
New England
Percent change
Connecticut
Percent change
Maine
Percent change
Massachusetts . . .
Percent change
New Hampshire
Percent change
Rhode Island ...
Percent change
Vermont
Percent change
Middle Atlantic . . .
Percent change
New Jersey
Percent change
New York
Percent change
Pennsylvania ....
1989
1990
1989
1990
1989
1990
1989
1990
1989
1990
1989
1990
1989
1990
1989
1990
1989
1990
1989
1990
1989
1990
1989
1990
1989
1990
Percent change
See footnotes at end of table.
248,239,000
248,709,873
14,251,449
14,475,613
+1.6
5,741.0
S,820J
+1.4
50,772,000
50309,229
13,047,000
13,206,943
3,239,000
3,287,116
1,222,000
1,227,928
5,913,000
6,016,425
1,107,000
1,109,252
998,000
1,003,464
567,000
562,758
2,575,190
2,638,764
+2.5
633,315
659,792
+4.2
170,695
177,068
+3.7
43,792
45,406
+3.7
303,692
318,742
+5.0
39,810
40,435
+ 1,6
52,144
53,712
+3.0
23,182
24,429
+5.4
5,072.1
5,193.5
+2.4
4,854.1
4,995.8
+2.9
5,270.0
5,386.7
+2.2
3,583.6
3,697.8
+3.2
5,136.0
5,297.9
+3.2
3,596.2
3,645.2
+ 1.4
5,224.8
5,352.7
+2.4
4,088.5
4,340.9
+6.2
37,726,000
37,602,286
7,736,000
7,730,188
17,950,000
17,990,455
12,040,000
11,881,643
1,941,875
1,978,972
+ 1.9
407,643
421,080
+3.3
1,129,638
1,144,874
+ 1.3
404,594
413,018
+2.1
5,147.3
5,262.9
+2.2
5,269.4
5,447.2
+3.4
6,293.2
6,363.8
+ 1.1
3,360.4
3,476.1
+3.4
1,646,037
1,820,127
+10.6
663.1
731.8
+10.4
12,605,412
12,655,486
+.4
5,077.9
5,088.5
+.2
360,293
384,497
+6.7
64,554
70,769
+9.6
16,576
18,201
+9.8
1,676
1,759
+5.0
39,912
44,300
+ 11.0
1,865
1,459
-21.8
3,772
4,334
+ 14.9
753
716
-4.9
709.6
756.7
+6.6
494.8
535.8
+8.3
511.8
553.7
+8.2
137.2
143.2
+4.4
675.0
736.3
+9.1
168.5
131.5
-22.0
378.0
431.9
+ 14.3
132.8
127.2
-4.2
2,214,897
2,254,267
+1.8
568,761
589,023
+3.6
154,119
158,867
+3.1
42,1J6
43,647
+3.6
263,780
274,442
+4.0
37,945
38,976
+2.7
48,372
49,378
+2.1
22,429
23,713
+5.7
4,362.4
4,436.7
+1.7
4,359.3
4,459.9
+2.3
4,758.2
4,833.0
+ 1.6
3,446.5
3,554.5
+3.1
4,461.0
4,561.5
+2.3
3,427.7
3,513.7
+2.5
4,846.9
4,920.8
+ 1.5
3,955.7
4,213.7
+6.5
295,739
313,728
+6.1
47,111
50,057
+6.3
203,042
212,458
+4.6
45,586
51,213
+12.3
783.9
834.3
+6.4
609.0
647.6
+6.3
1,131.2
1,180.9
+4.4
378.6
431.0
+ 13.8
1,646,136
1,665,244
+ 1.2
360,532
371,023
+2.9
I 926,596
I 932,416
+.6
359,008
361,805
+.8
4,363.4
4,428.6
+ 1.5
4,660.4
4,799.7
+3.0
5,162.1
5,182.8
+.4
2,981.8
3,045.1
+2.1
21,500
23,438
+9.0
3,972
4459
+9.7
579
521
-10.0
190
166
-12.6
39
30
-23.1
254
243
-4.3
36
21
-41.7
49
48
-2.0
II
13
+ 18.2
3,393
3,838
+ 13.1
394
432
+9.6
2,246
2,605
+ 16.0
753
801
+6.4
9.0
10.2
+ 13.3
5.1
5.6
+9.8
12.5
14.5
+16.0
6.3
6.7
+6.3
52
Ttbl* 4.—
Index of Crime: Regi
vn. Geographic Division, and State, 1989-
1990
Forcible rape
Robbery
Aggravated
assault
Burglary
Larceny-theft
Motor vehicle theft
Arson-
Number
Rale per
100,000
Number
Rate per
100,000
Number
Rate per
100,000
Number
Rate per
100,000
Number
Rate per
100.000
Number
Rate per
100,000
Number
Rale per
100,000
H504
38.1
578J26
233.0
951,707
383.4
3,168,170
1,276J
7,872,442
3,171J
1,564,800
630.4
10WJ5
41.2
639,271
257.0
1,054,863
424.1
3,073,909
1,235.9
7,945,670
3,1»4J
1,635,907
657J
+8J
+8.1
+10.5
+10J
+10J
+10.6
-3.0
-3.2
+.9
+.7
+4.5
+4J
14380
28J
163,864
322.7
178,077
350.7
511,489
1,007.4
U13,035
2,586.1
390J73
- ' \
768,9
14,713
29.0
179,258
352J
186,167
366.4
518,500
1,020J
1,320,269
2,598,5
415,498
817,8
+2.3
+2.5
+9.4
+9.3
+4.5
+4.5
+ 1.4
+ 1.3
+.6
+.5
+6.4
+6,4
3,726
28.6
20,717
158.8
39,532
303.0
138,886
1,064.5
338,132
2,591,6
91,743
703.2
3,970
30.1
22,679
171.7
43,599
330.1
144,435
1,093.6
349,371
2,645,3
95,217
721.0
U.i
+5.2
+9.5
+8.1
+ 10.3
+8.9
+4.0
+2.7
+3.3
+2,1
+3.8
+2.5
892
27.5
6,956
214.8
8,538
263.6
40,035
1,236.0
91,483
2,8244
22,601
697.8
918
27.9
7,717
234.8
9,400
286.0
40,355
1,227.7
94,485
2,874.4
24,027
730.9
+2.9
+ 1.5
+ 10.9
+9.3
+ 10.1
+8.5
+.8
-.7
+3.3
+ 1.8
+6.3
+4.7
229
18.7
293
24.0
1.115
91.2
9,810
802.8
30,067
2.460.5
2,239
183.2
242
19.7
308
25.1
1,179
96.0
10,106
823.0
31,372
2.554.9
2,169
176.6
+5.7
+5.3
+5.1
+4.6
+5.7
+5.3
+3.0
+2,5
+4.3
+3.8
-3.1
-3.6
1.881
31.8
11,980
202.6
25.797
436.3
63,004
1,065.5
146,925
2.4848
53,851
910.7
2,030
33.7
13,062
217.1
28,965
481.4
66,942
1,112.;
151,933
2,525.3
55,567
923.6
+7.9
+6.0
+9.0
+7.2
+ 12.3
+ 10,3
+6.3
+4.4
+3.4
+ 1.6
+3.2
+ 1.4
327
29.5
264
23.8
1,238
111.8
8,157
736.9
27,087
2,446.9
2,701
244.0
386
V
302
27.2
750
67.6
8,158
735.5
28.111
2,5342
2,707
244.0
+ 18.0
+ 16.U
+ 14.4
+ 14.3
-39.4
-39,5
-.2
+3.8
+3.6
+.2
266
26.7
1,122
112.4
2.335
234,0
12,045
1,206.9
27.104
2,715.8
9,223
924.1
248
24.7
1,224
122.0
2.814
280,4
12,755
1,271.1
27.046
2,695.3
9,577
954.4
-6.8
-7.5
+9.1
+8.5
+20.5
+ 19.8
+5.9
+5.3
-.2
-.8
+3.8
+3.3
131
23.1
102
18.0
509
89.8
5,835
1,029.1
15.466
2,727.7
1,128
198.9
146
25.9
66
11,7
491
87,2
6,119
1,087.3
16,424
2,918.5
1,170
207.9
+ 11.5
+ 12.1
-35.3
-35.0
-3,5
-2.9
+4.9
+5.7
+6,2
+7.0
+3.7
+4.5
10,654
28.2
143,147
379.4
138,545
367.2
372,603
987.7
974.903
2,584.2
298,630
791.6
10,743
28.6
156,579
416.4
142,568
379.2
374,065
994.8
970.898
2,582.0
320,281
851.8
+.8
+ 1.4
+9.4
+9.8
+2.9
+3.3
+.4
+.7
-,4
-.1
+7.3
+7.6
2,449
31.7
21,139
273.3
23,129
299.0
75,548
976.6
213,878
2,764.7
71,106
919.2
2,307
29.8
23,269
301.0
24,049
311.1
78,628
1,0172
219.767
2,843.0
72,628
939.5
-5.8
-6.0
+ 10.1
+10.1
+4.0
+4.0
+4.1
+4.2
+2.8
+2.8
+2.1
+2.2
5,242
29.2
103,983
579.3
91,571
510.1
211,130
1,176.2
544,459
3,033.2
171,007
952.7
5,368
29.8
112,380
624.7
92,105
512.0
208,813
1,160.7
536,012
2,979.4
187,591
1,042.7
+2.4
+2.1
+8.1
+7.8
+.6
+.4
-1.1
-1.3
-1.6
-1.8
+9.7
+9.4
2,963
24.6
18,025
149.7
23,845
198.0
85,925
713.7
216.566
1,798.7
56,517
469.4
3,068
25.8
20,930
176.2
26,414
222.3
86,624
729.1
215.119
1,810.5
60,062
505.5
+3.5
+4.9
+ 16.1
+ 17.7
+ 10.8
+ 12.3
+.8
+2.2
-.7
+.7
+6.3
+7.7
53
Ttble 4. — Index of Crime: Region, Geographic Division, and State, 1989-1990 — Continued
Year
Population'
Crime Index total
Number
Rate per
100,000
Modified Crime
Index total'
Number
Rate per
100,000
Violent crime'
Number
Rate per
100,000
Property crime'
Number
Rate per
100,000
Murder and non-
negligent manslaughter
Number
Rate per
100.000
MMwcsf
Perceal cbugc
East North Central*
Percent change
Illinois'
Percent change
Indiana
Percent change
Michigan
Percent change
Ohio
Percent change
Wisconsin
Percent change
West North Central
Percent change
Iowa
Percent change
Kansas
Percent change
Minnesota
Percent change
Missouri
Percent change
Nebraska
Percent change
North DakoU ..
Percent change
South Dakota ...
1989
1990
1989
1990
1989
1990
1989
1990
1989
1990
1989
1990
1989
1990
1989
1990
1989
1990
1989
1990
1989
1990
1989
1990
1989
1990
1989
1990
1989
1990
Percent change
See footnotes at end of table.
60,148,000
S9,668,632
42,298.000
42,008,942
11,658,000
11,430,602
5,593,000
5,544,159
9,273,000
9,295,297
10,907,000
10,847,115
4,867,000
4,891,769
2,976,595
3,044,224
+2J
2,178.138
2,235,672
+2.6
657,414
678,416
+3.2
248,327
259,651
+4.6
553,442
557,232
+.7
516,252
525.373
+ 1.8
202.703
215,000
+6.1
4,948J
5,101.9
+3.1
5.149.5
5.321.9
+3.3
5.639.2
5.935.1
+5.2
4,440.0
4,683.3
+5.5
5,968.3
5,994.8
+.4
4,733.2
4.843.4
+2.3
4,164.8
4,395.1
+5.5
17,851,000
17.659.690
2,840,000
2,776,755
2,513,000
2.477,574
4,353,000
4,375,099
5,159,000
5,117.073
1,611.000
1.578,385
660,000
638,800
715,000
696,004
798,457
808,552
+ 1.3
115,912
113,871
-1.8
125,219
128.664
+2.8
190.801
198.577
+4.1
264.508
262.024
-.9
65.916
66.499
+.9
16,902
18,668
+ 10.4
19,199
20,249
+5.5
4,472.9
4,578.5
+2.4
4,081.4
4,100.9
+.5
4,982.8
5,193.1
+4.2
4,383.2
4,538.8
+3.5
5,127.1
5,120.6
-.1
4,091.6
4,213.1
+3.0
2,560.9
2,922.4
+ 14.1
2,685.2
2,909.3
+8.3
317,757
354492
+11.5
249.049
278,170
+11.7
98,611
110,575
+ 12.1
22,735
26,275
+ 15.6
65.760
73,468
+ 11.7
51.109
54.904
+7.4
10.834
12.948
+ 19.5
528J
593.9
+12.4
588.8
662.2
+12.5
845.9
967.4
+14.4
406.5
473.9
+ 16.6
709.2
790.4
+ 11.4
468.6
506.2
+8.0
222.6
264.7
+ 18.9
2,658,838
2,689332
+1.2
1.929.089
1.957,502
+1.5
558,803
567,841
+ 1.6
225,592
233,376
+3.5
487,682
483,764
-.^
465,143
470,469
+ 1.1
191,869
202,052
+5.3
4,420J
4,507.9
+2.0
4.560.7
4.659.7
+2.2
4.793.3
4,967.7
+3.6
4,033.5
4,209.4
+4.4
5,259.2
5.204.4
-1.0
4.264.6
4,337.3
+ 1.7
3,942.2
4.130.4
+4.8
68,708
76,222
+ 10.9
7,563
8,321
+ 10.0
10.073
11.093
+ 10.1
12,549
13,392
+6.7
32,634
36,602
+12.2
4,503
5.209
15.7
417
472
+ 13.2
969
1.133
+16.9
384.9
431.6
+ 12.1
266.3
299.7
+ 12.5
400.8
447.7
+ 11.7
288.3
306.1
+6.2
632.6
715.3
+ 13.1
279.5
330.0
+ 18.1
63.2
73.9
+ 16.9
135.5
162.8
+20.1
729.749
732.330
+.4
108.349
105.550
-2.6
115.146
117.571
+2.1
178.252
185,185
+3.9
231,874
225,422
-2.8
61,413
61,290
-.2
16,485
18,196
+ 10.4
18,230
19,116
+4.9
4,088.0
4,146.9
+ 1.4
3.815.1
3.801.2
-.4
4,582.0
4,745.4
+3.6
4,094.9
4,232.7
+3.4
4,494.6
4,405.3
-2.0
3,812.1
3,883.1
+1.9
2,497.7
2,848.5
+ 14.0
2.549.7
2.746.5
+7.7
3,990
4,165
+4.4
3.225
3,385
+5.0
1.051
1.182
+12.5
353
344
-2.5
993
971
-2.2
652
663
+ 1.7
176
225
+27.8
765
780
+2.0
54
54
138
98
-29.0
111
117
+5.4
409
449
+9.8
40
43
+7,5
4
5
+25.0
9
14
+55.6
6.6
7.0
■H.I
7.6
8.1
+6.6
9.0
10.3
+14.4
6.3
6.2
-1.6
10.7
10.4
-2.8
6.0
6.1
+1.7
3.6
4.6
+27.8
4.3
4.4
+2.3
1.9
1.9
5.5
4.0
-27.3
2.5
2.7
+8.0
7.9
8.8
+11.4
2.5
2.7
+8.0
.6
.8
+33.3
1.3
2.0
+53.8
54
Table 4.—
Index of Crime: Region, Geographic Division, and Sute, 1989-
1990— Continued
Forcible rape
Robbery
Aggravated
assault
Burglar>
Larceny-theft
Motor vehicle theft
AiKin-
Number
Rale per
Number
Rate per
Number
Rate per
Number
Rate per
Number
Rate per
Number
Rate per
Number
Rate per
100,000
100,000
100,000
100,000
100.000
100,000
100.000
23,468
39.0
106JOi
177.1
183,794
305.6
609,293
1,013.0
1,766,190
2,936.4
283J55
471.1
2533
42.6
118,450
198.5
20634
J45.9
586,804
983.4
1,804,238
3,023.8
298,790
500.7
+8J
+9.2
+11.2
+12.1
+12J
+13.2
-3.7
-2.9
+2J
+3.0
+5.4
+6J
18,454
43.6
87,719
207.4
139.651
330.2
439.961
1,040.1
1.265,815
2,992.6
223,313
528.0
19,905
47.4
98,374
234.2
156,506
372.6
423.408
1,007.9
1,296,353
3.085.9
237,741
565.9
+7.9
+8.7
+ 12.1
+ 12.9
+12.1
+ 12.8
-3.8
-3.1
+2.4
+3.1
+6.5
+7.2
4.161
35.7
39,138
335.7
54,261
465.4
125,441
1,076.0
362,556
3,109.9
70,806
607.4
4,505
39.4
45,038
394.0
59,850
523.6
121.506
1,063.0
372,862
3,262.0
73.473
642.8
+8.3
+ 10.4
+ 15.1
+ 17.4
+ 10.3
+12.5
-3.1
-1.2
+2.8
+4.9
+3.8
+5.8
1.804
32.3
5,671
101.4
14,907
266.5
54,201
969.1
149,514
2.673.2
21,877
391.1
2,103
37.9
5,619
101.3
18,209
328.4
52.297
943.3
156.741
2.827.1
24,338
439.0
+ 16.6
+ 17.3
-.9
-.1
+22.2
+23.2
-3.5
-2.7
+4.8
+5.8
+ 11.2
+ 12.2
6,624
71.4
20,616
222.3
37,527
404.7
113,579
1,224.8
307,096
3,311.7
67,007
722.6
7,209
77.6
21,752
234.0
43,536
468.4
106,275
1,143.3
311,153
3,347.4
66,336
713.7
+8.8
+8.7
+5.5
+5.3
+ 16.0
+15.7
-6.4
-6.7
+ 1.3
+ 1.1
-1.0
-1.2
4,872
44.7
18,635
170.9
26,950
247.1
111,057
1,018.2
306,609
2,811.1
47,477
435.3
5,075
46.8
20,451
188.5
28,715
264.7
106,575
982.5
310,673
2,864.1
53,221
490.6
+4.2
+4.7
+9.7
+ 10.3
+6.5
+7.1
-4.0
-3.5
+1.3
+1.9
+ 12.1
+ 12.7
993
20.4
3,659
75.2
6,006
123.4
35,683
733.2
140,040
2,877.3
16,146
331.7
1,013
20.7
5,514
112.7
6,196
126.7
36,755
751.4
144,924
2,962.6
20,373
416.5
+2.0
+ 1.5
+50.7
+49.9
+3.2
+2.7
+3.0
+2.5
+3.5
+3.0
+26.2
+25.6
5.014
28.1
18,786
105.2
44,143
247.3
169,332
948.6
500,375
2,803.1
60.042
336.4
5.488
31.1
20,076
113.7
49,878
282.4
163.396
925.2
507,885
2,876.0
61,049
345.7
+9.5
+ 10.7
+6.9
+8.1
+13.0
+14.2
-3.5
-2.5
+ 1.5
+2.6
+1.7
+2.8
459
16.2
1,108
39.0
5,942
209.2
24,052
846.9
79,801
2,809.9
4,496
158.3
510
18.4
1,089
39.2
6.668
240.1
22,448
808.4
78,384
2,822.9
4,718
169.9
+ 11.1
+ 13.6
-1.7
+.5
+ 12.2
+ 14.8
-6.7
-4.5
-1.8
+.5
+4.9
+7.3
917
36.5
2,508
99.8
6.510
259.1
29,871
1,188.7
77,802
3,096.0
7,473
297.4
1.002
40.4
2,914
117.6
7,079
285.7
28,901
1.166.5
80.361
3,243.5
8,309
335.4
+9.3
+ 10.7
+16.2
+ 17.8
+8.7
+ 10.3
-3.2
-1.9
+3.3
+4.8
+ 11.2
+ 12.8
1.363
31.3
4,128
94.8
6,947
159.6
39,042
896.9
122,673
2,818.1
16,537
379.9
1.487
34.0
4,057
92.7
7,731
176.7
39,691
907.2
129.500
2,959.9
15,994
365.6
+9.1
+8.6
-1.7
-2.2
+ 11.3
+ 10.7
+1.7
+ 1.1
+5.6
+5.0
-3.3
-3.8
1,587
30.8
10,060
195.0
20,578
398.9
58,594
1.135.8
146,269
2,835.2
27,011
523.6
1,663
32.5
11,073
216.4
23,417
457.6
54,536
1.065.8
143,287
2,800.2
27,599
539.4
+4.8
+5.5
+10.1
+ 11.0
+ 138
+14.7
-6.9
-6.2
-2.0
-1.2
+2.2
+3.0
381
23.6
837
52.0
3,245
201.4
12,010
745.5
46,403
2,880.4
3,000
186.2
473
30.0
807
51.1
3,886
246.2
11,424
723.8
47,054
2,981.1
2,812
178.2
+24.1
+27.1
-3.6
-1.7
+19.8
+22.2
-4.9
-2.9
+ 1.4
+3.5
-6.3
-4.3
78
11.8
61
9.2
274
41.5
2,369
358.9
13,370
2,025.8
746
113.0
114
17.8
50
7.8
303
47.4
2,725
426.6
14,621
2,288.8
850
133.1
+46.2
+50.8
-18.0
-15.2
+10.6
+14.2
+ 15.0
+ 18.9
+9.4
+ 13.0
+13.9
+ 17.8
229
32.0
84
11.7
647
90.5
3,394
474.7
14,057
1,966.0
779
109.0
239
34.3
86
12.4
794
114.1
3.671
527.4
14,678
2,108.9
767
110.2
+4.4
+7.2
+2.4
+6.0
+22.7
+26.1
+8.2
+ 11.1
+4.4
+7.3
-1.5
+ 1.1
55
Table 4.— Index of Crime: Region, Geographic Division, and State, 1989-1990 — Continued
Year
Population'
Crime Index total
Number
Rate per
100,000
Modified Crime
Index total^
Number
Rate per
100,000
Violent crime'
Number
Rate per
100,000
Property crime'
Number
Rate per
100,000
Murder and non-
negligent manslaughter
Number
Sooth
Percent chingc
South Atlantic
Percent change
Delaware
Percent change ...
District of Columbia
Percent change
Florida
Percent change
Georgia
Percent change
Maryland
Percent change
North Carolina
Percent change
South Carolina
Percent change
Virginia
Percent change
West Virginia . . .
Percent change
East South Central
Percent change
Alabama
Percent change
Kentucky
Percent change
Mississippi
Percent change
Tennessee
Percent change
West South Central
Percent change
Arkansas
Percent change
Louisiana
Percent change
Oklahoma
Percent change
Texas
1989
1990
1989
1990
1989
1990
1989
1990
1989
1990
1989
1990
1989
1990
1989
1990
1989
1990
1989
1990
1989
1990
1989
1990
1989
1990
1989
1990
1989
1990
1989
1990
1989
1990
1989
1990
1989
1990
1989
1990
1989
1990
Percent change
See footnotes at end of table.
85,523,000
85,445,930
43,115,000
43,566,853
673,000
666,168
604,000
606,900
12,671,000
12,937,926
6,436,000
6,478,216
4,694,000
4,781,468
6,571,000
6,628,637
3,512,000
3,486,703
6,098,000
6,187,358
1,857.000
1,793,477
5,306,813
5,411,894
+2.0
2,770,129
2,852,040
+3.0
32,743
35,709
+9.1
62,172
65,389
+5.2
1,115,617
1,139,934
+2.2
455,225
438,161
-3.7
261,107
278,782
+6.8
345,225
363,638
+5.3
197,348
210,779
+6.8
256,814
274,757
+7.0
43,878
44,891
+2.3
6,205.1
6J33.7
+2.1
6,425.0
6,546.4
+ 1.9
4,865.2
5,360.4
+ 10.2
10,293.4
10,774.3
+4.7
8,804.5
8,810.8
+.1
7,073.1
6,763.6
-4.4
5,562.6
5.830.5
+4.8
5,253.8
5,485.9
+4.4
5,619.2
6,045.2
+7.6
4,211.4
4,440.6
+5.4
2,362.8
2,503.0
+5.9
15,406,000
15,176,284
4,118,000
4.040.587
3.727.000
3,685.296
2.621,000
2,573,216
4,940,000
4,877,185
629,311
666,105
+5.8
190,573
198,604
+4.2
123,630
121,594
-1.6
92,136
99,561
+8.1
222,972
246.346
+ 10.5
4,084.8
4,389.1
+7.4
4,627.8
4,915.2
+6.2
3,317.1
3,299.4
-.5
3,515.3
3,869.1
+ 10.1
4.513.6
5,051.0
+ 11.9
27.002.000
26.702,793
2,406,000
2,350,725
4,382,000
4,219,973
3,224,000
3,145,585
16,991,000
16,986,510
1,907,373
1,893,749
-.7
109,610
114,408
+4.4
273,492
273,736
+.1
177,405
176,111
-.7
1,346,866
1,329,494
-1.3
7,063.8
7,092.0
+.4
4,555.7
4,866.9
+6.8
6,241.3
6,486.7
+3.9
5,502.6
5,598.7
+ 1.7
7,926.9
7,826.8
-1.3
577,320
654,784
+13.4
331,025
373,322
+12.8
3,745
4,365
+ 16.6
12,937
14,919
+ 15.3
140.575
160,990.
+ 14.5
47,357
48,996
+3.5
40,152
43,940
+9.4
35,902
41,332
+ 15.1
28,576
34,050
+ 19.2
19,057
21,694
+13.8
2,724
3,036
+11.5
675.0
766J
+13.5
767.8
856.9
+ 11.6
556.5
655.2
+17.7
2,141.9
2,458.2
+ 14.8
1,109.4
1,244.3
+ 12.2
735.8
756.3
+2.8
855.4
919.0
+7.4
546.4
623.5
+ 14.1
813.7
976.6
+20.0
312.5
350.6
+12.2
146.7
169.3
+ 15.4
4,729,493
4,757,110
+.6
2,439,104
2,478,718
+ 1.6
28,998
31.344
+8.1
49.235
50.470
+2.5
975.042
978.944
+.4
407,868
389,165
-4.6
220.955
234.842
+6.3
309.323
322.306
+4.2
168,772
176,729
+4.7
237,757
253.063
+6.4
41,154
41,855
+ 1.7
72,905
84,472
+15.9
24,329
28,630
+ 17.7
13,302
14.386
+8.1
8.156
8,758
+7.4
27,118
32,698
+20.6
473.2
556.6
+17.6
590.8
708.6
+ 19.9
356.9
390.4
+9.4
311.2
340.4
+9.4
548.9
670.4
+22.1
556,406
581,633
+4.5
166,244
169,974
+2.2
110,328
107,208
-2.8
83,980
90,803
+8.1
195,854
213,648
+9.1
173,390
196.990
+13.6
11.397
12,511
+9.8
34,257
37,914
+ 10.7
15,847
17,222
+8.7
111,889
129,343
+15.6
642.1
737.7
+ 14.9
473.7
532.2
+ 12.3
781.8
898.4
+ 14.9
491.5
547.5
+ 11.4
658.5
761.4
+ 15.5
1,733,983
1,696.759
-2.1
98.213
101.897
+3.8
239.235
235,822
-1.4
161,558
158,889
-1.7
1,234,977
1,200,151
-2.8
5,530.1
5,567.4
+.7
5,657.2
5,689.5
+.6
4,308.8
4.705.1
+9.2
8.151.5
8.316.0
+2.0
7,695.1
7,566.5
-1.7
6.337.3
6.007.3
-5.2
4.707.2
4,911.5
+4.3
4,707.4
4,862.3
+3.3
4.805.6
5.068.7
+5.5
3.898.9
4.090.0
+4.9
2,216.2
2,333.7
+5.3
3.611.6
3,832.5
+6.1
4,037.0
4,206.7
+4.2
2,960.2
2,909.1
-1.7
3,204.1
3,528.8
+ 10.1
3.964.7
4,380.6
+ 10.5
6,421.7
6,354.2
-1.1
4,082.0
4,334.7
+6.2
5,459.5
5,588.2
+2.4
5,011.1
5,051.2
+.8
7,268.4
7,065.3
-2.8
9,221
10,113
+9.7
4,742
4,951
+4.4
34
33
-2.9
434
472
+8.8
1,405
1,379
-1.9
820
767
-6.5
544
552
+ 1.5
584
711
+21.7
320
390
+21.9
480
545
+13.5
121
102
-15.7
1,384
1.555
+ 12.4
421
467
+10.9
293
264
-9.9
253
313
+23.7
417
511
+22.5
3,095
3,607
+ 16.5
203
241
+ 18.7
653
724
+10.9
210
253
+20.5
2,029
2,389
+ 17.7
56
Table 4.—
Index of Crime: Regi
on, Geographic Division, and State, 1989-
1990— Continued
Forcible rape
Robbery
Aggravated
assault
Burglary
Larceny-theft
Motor vehicle theft
Arson'
Number
Rate per
100,000
Number
Rate per
100.000
Number
Rate per
100,000
Number
Rate per
100.000
Number
Rate per
100,000
Number
Rate per
100,000
Number
Rale per
100,000
34,807
40.7
185,704
217.1
347.588
406.4
1,328,621
1,553.5
2,911,441
3,404.3
489,431
572.3
38,776
45.4
202,626
237.1
403,269
472.0
1,280,258
1.498.3
2.965.926
3,471.1
510.926
598.0
+ 11.4
+11.5
+9.1
+9.2
+ 16.0
+ 16.1
-3.6
-3.6
+ 1.9
+2.0
+4.4
+4.5
17,568
40.7
112,334
260.5
196,381
455.5
675,553
1.566.9
1.524.662
3,536.3
238.889
554.1
19,811
45.5
120,553
276.7
228.007
523.3
664.383
1,525.0
1.563.565
3,588.9
250.770
575.6
+ 12.8
+ 11.8
+7.3
+6.2
+16.1
+ 14.9
-1.7
-2.7
+2.6
+ 1.5
+5.0
+3.9
569
84.5
934
138.8
2.208
328.1
6.072
902.2
20.294
3,015.5
2.632
391.1
587
88.1
1,098
164.8
2,647
397.3
6.465
970.5
21,922
3,290.8
2.957
443.9
+3.2
+4.3
+ 17.6
+ 18.7
+ 19.9
+21.1
+6.5
+7.6
+8.0
+9.1
+12.3
+ 13.5
186
30.8
6.542
1,083.1
5,775
956.1
1 1.780
1,950.3
29,164
4,828.5
8.291
1,372.7
303
49.9
7,365
1,213.5
6.779
1,117.0
12,035
1,983.0
30,326
4.996.9
8,109
1,336.1
+62.9
+62.0
+ 12.6
+ 12.0
+17.4
+16.8
+2.2
+ 1.7
+4.0
+3.5
-2.2
-2.7
6,299
49.7
51.188
404.0
81,683
644.6
289,254
2,282.8
583.702
4.606.6
102,086
805.7
6,781
52.4
53.928
416.8
98,902
764.4
280,832
2,170.6
591.210
4.569.6
106.902
826.3
+7.7
+5.4
+5.4
+3.2
+21.1
+ 18.6
-2.9
-4.9
+ 1.3
-.8
+4.7
+2.6
3.150
48.9
17,450
271.1
25,937
403.0
110,215
1,712.5
255.578
3,971.1
42.075
653.7
3,472
53.6
17,067
263.5
27,690
427.4
104,905
1,619.4
240.623
3.714.3
43.637
673.6
+10.2
+9.6
-2.2
-2.8
+6.8
+6.1
-4.8
-5.4
-5.9
-6.5
+3.7
+3.0
1,783
38.0
15,589
332.1
22.236
473.7
52,735
1,123.5
137.043
2,919.5
31,177
664.2
2,185
45.7
17,394
363.8
23.809
497.9
53,549
1,119.9
147,407
3,082.9
33,886
708.7
+22.5
+20.3
+ 11.6
+9.5
+7.1
+5.1
+ 1.5
-.3
+7.6
+5.6
+8.7
+6.7
1,964
29.9
8,770
133.5
24,584
374.1
98,792
1,503.5
191,783
2,918.6
18.748
285.3
2,272
34.3
10,082
152.1
28,267
426.4
101,444
1,530.4
202,059
3.048.3
18.803
283.7
+15.7
+ 14.7
+ 15.0
+ 13.9
+15.0
+ 14.0
+2.7
+1.8
+5.4
+4.4
+.3
-.6
1,632
46.5
4,574
130.2
22,050
627.8
48,914
1,392.8
107,845
3.070.8
12.013
342.1
1,873
53.7
5.313
152.4
26,474
759.3
48,132
1,380.4
115.144
3.302.4
13.453
385.8
+14.8
+ 15.5
+ 16.2
+17.1
+20.1
+20.9
-1.6
-.9
+6.8
+7.5
+ 12.0
+ 12.8
1,638
26.9
6.494
106.5
10.445
171.3
46,156
756.9
172.645
2,831.2
18,956
310.9
1,915
31.0
7.626
123.3
11.608
187.6
45.236
731.1
187.564
3,031.4
20,263
327.5
+ 16.9
+ 15.2
+ 17.4
+ 15.8
+ 11.1
+9.5
-2.0
-3.4
+8.6
+7.1
+6.98
+5.3
347
18.7
793
42.7
1.463
78.8
11,635
626.5
26,608
1.432.8
2,911
156.8
423
23.6
680
37.9
1.831
102.1
■11.785
657.1
27,310
1.522.7
2,760
153.9
+21.9
+26.2
-14.2
-11.2
+25.2
+29.6
+ 1.3
+4.9
+2.6
+6.3
-5.2
-1.8
5,480
35.6
18.330
119.0
47,711
309.7
167.389
1,086.5
337,556
2.191.1
51,461
334.0
5,936
39.1
19.892
131.1
57,089
376.2
166.691
1,098.4
360.323
2.374.3
54,619
359.9
+8.3
+9.8
+8.5
+10.2
+19.7
+21.5
-.4
+ 1.1
+6.7
+8.4
+6.1
+7.8
1,276
31.0
5.515
133.9
17,117
415.7
47,224
1,146.8
106.771
2,592.8
12,249
297.5
1,319
32.6
5.805
143.7
21,039
520.7
44,585
1,103.4
111.336
2,755.4
14,053
347.8
+3.4
+5.2
+5.3
+7.3
+22.9
+25.3
-5.6
-3.8
+4.3
+6.3
+14.7
+16.9
917
24.6
2.836
76.1
9,256
248.3
30,526
819.1
71,611
1,921.4
8,191
219.8
1,068
29.0
2.545
69.1
10,509
285.2
28,264
766.9
71,594
1.942.7
7,350
199.4
+ 16.5
+ 17.9
-10.3
-9.2
+ 13.5
+ 14.9
-7.4
-6.4
+ 1.1
-10.3
-9.3
1,017
38.8
2.053
78.3
4,833
184.4
30,018
1,145.3
49.266
1.879.7
4.696
179.2
1,134
44.1
2.217
86.2
5,094
198.0
32,196
1,251.2
53.266
2.070.0
5.341
207.6
+11.5
+ 13.7
+8.0
+10.1
+5.4
+7.4
+7.3
+9.2
+8.1
+ 10.1
+ 13.7
+ 15.8
2,270
46.0
7.926
160.4
16.505
334.1
59,621
1,206.9
109.908
2.224.9
26.325
532.9
2,415
49.5
9.325
191.2
20.447
419.2
61.646
1,264.0
124.127
2,545.1
27.875
571.5
+6.4
+7.6
+ 17.7
+ 19.2
+23.9
+25.5
+3.4
+4.7
+ 12.9
+ 14.4
+5.9
+7.2
11,759
43.5
55.040
203.8
103.496
383.3
485,679
1,798.7
1.049.223
3.885.7
199.081
737.3
13,029
48.8
62,181
232.9
118.173
442.5
449,184
1.682.2
1.042,038
3.902.4
205,537
769.7
+ 10.8
+12.2
+13.0
+ 14.3
+ 14.2
+ 15.4
-7.5
-6.5
-.7
+.4
+3.2
+4.4
924
38.4
2,660
110.6
7.610
316.3
28.738
1.194.4
63.084
2.621.9
6,391
265.6
1,019
43.3
2,661
113.2
8.590
365.4
28.464
1.210.9
66,630
2.834.4
6,803
289.4
+ 10.3
1,675
+ 12.8
38.2
+2.4
237.3
+12.9
21,532
+ 15.5
491.4
-1.0
64.184
+ 1.4
1.464.7
+5.6
152,209
+8.1
3,473.5
+6.4
22,842
+9.0
521.3
10.397
1,781
42.2
11.387
269.8
24,022
569.2
60.677
1.437.9
149.752
3,548.6
25,393
601.7
+6.3
+10.5
+9.5
+ 13.7
+ 11.6
+ 15.8
-5.5
-1.8
-1.6
+2.2
+ 11.2
+ 15.4
1,209
37.5
4.070
126.2
10,358
321.3
50.411
1.563.6
92.270
2,862.0
18,877
585.5
1,479
47.0
3.836
121.9
11,654
370.5
45.531
1,447.5
94,432
3,002.0
18,926
601.7
+22.3
+25.3
-5.7
-3.4
+12.5
+ 15.3
-9.7
-7.4
+2.3
+4.9
+.3
+2.8
7,951
46.8
37.913
223.1
63,996
376.6
342.346
2,014.9
741,660
4,365.0
150,971
888.5
8,750
51.5
44.297
260.8
73,907
435.1
314.512
1,851.5
731,224
4,304.7
154,415
909.0
+ 10.0
+ 10.0
+ 16.8
+ 16.9
+ 15.5
+ 15.5
-8.1
-8.1
-1.4
-1.4
+2.3
+2.3
57
Table 4.— Index of Crime: Region, Geograpliic Division, and State, 1989-1990— Continued
Area
Year
Population'
Crime Index total
Number
Rate
100,
per
,000
Modified Crime
Index total'
Number
Rate per
100,000
Violent crime'
Number
Rate per
100,000
Property crime'
Number
Rate per
100,000
Murder and non-
negligent manslaughter
Number
WcM
PcKCBt chuge
Mountain
Percent change
Arizona
Percent change
Colorado
Percent change
Idaho
Percent change
Montana
Percent change
Nevada
Percent change
New Mexico ....
Percent change
Utah
Percent change
Wyoming
Percent change
Pacific
Percent change
Alaska
Percent change
California
Percent change
Hawaii
Percent change
Oregon
Percent change
Washington
Percent change
Puerto Rico'
Percent change
1989
1990
1989
1990
1989
1990
1989
1990
1989
1990
1989
1990
1989
1990
1989
1990
1989
1990
1989
1990
1989
1990
1989
1990
1989
1990
1989
1990
1989
1990
1989
1990
1989
1990
51,796,000
52,786,082
13,513,000
13,658,776
3,556,000
3,665,228
3,317,000
3,294,394
1,014,000
1,006,749
806,000
799,065
1,111,000
1,201,833
1,528,000
1,515,069
1,707,000
1,722,850
475,000
453,588
332,851
330,731
-.4
844,606
856,148
+ 1.4
286,604
289,140
+.9
200,328
199,434
-.4
39,860
40,845
+2.5
32,220
35,975
+ 11.7
69,679
72,874
+4.6
100,448
101,269
+.8
96,994
97,512
+.5
18,473
19,099
+3.4
6,550.4
6,404.6
-2.2
6,250.3
6,268.1
+.3
8,059.7
7,888.7
-2.1
6,039.4
6,053.7
+.2
3,931.0
4,057.1
+3.2
3,997.5
4,502.1
+ 12.6
6,271.7
6,063.6
-3.3
6,573.8
6,684.1
+ 1.7
5,682.1
5,659.9
-.4
3,889.1
4,210.6
+8.3
38,283,000
39,127,306
527,000
550,043
29,063,000
29,760,021
548,245
524,583
-.9
25,190
28,342
+12.5
965,652
965,237
1,112,000
1,108,229
2,820,000
2,842,321
4,761,000
4,866,692
69,727
67,676
-2.9
173,744
160,478
-7.6
313,932
30?,850
-3.5
6,656.3
6,452.2
-3.1
4,779.9
5,152.7
+7.8
6,763.4
6,603.6
-2.4
6,270.4
6,106.7
-2.6
6,161.1
5,646.0
-8.4
6,593.8
6,222.9
-5.6
3,358,000
3,522,037
110,027
124,371
+ 13.0
3,277.0
3,531.2
+7.8
390,667
426,454
+9.2
63,819
70,590
+ 10.6
21,320
23,911
+ 12.2
15,636
17,328
+ 10.8
2,582
2,776
+7.5
935
1,273
+36.1
6,947
7,222
+4.0
10,755
11,821
+9.9
4,417
4,892
+ 10.8
1,227
1,367
+ 11.4
754.2
807.9
+7.1
472.3
516.8
+9.4
599.6
652.4
+8.8
471.4
526.0
+ 11.6
254.6
275.7
+8.3
116.0
159.3
+37.3
625.3
600.9
-3.9
703.9
780.2
+10.8
258.8
283.9
+9.7
258.3
301.4
+ 16.7
3,002,184
2,954,277
-1.6
780,787
785,558
+.6
265,284
265,229
184,692
182,106
-1.4
37,278
38,069
+2.1
31,285
34,702
+ 10.9
62,732
65,652
+4.7
89,693
89,448
-.3
92,577
92,620
17,246
17,732
+2.8
5,796.2
5,596.7
-3.4
5,778.0
5,751.3
-.5
7,460.2
7,236.4
-3.0
5,568.0
5,527.8
-.7
3,676.3
3,781.4
+2.9
3,881.5
4,342.8
+ 11.9
5,646.4
5,462.7
-3.3
5,870.0
5,903.9
+.6
5,423.4
5,376.0
-.9
3,630.7
3,909.3
+7.7
326,848
355,864
+8.9
2,623
2,885
+10.0
284,136
311,051
+9.5
3,004
3,113
+3.6
14,625
14,405
-1.5
22,460
24,410
+8.7
853.8
909.5
+6.5
497.7
524.5
+5.4
977.7
1,045.2
+6.9
270.1
280.9
+4.0
518.6
506.8
-2.3
471.7
501.6
+6.3
2,221,397
2,168,719
-2.4
22,567
25,457
+ 12.8
1,681,516
1,654,186
-1.6
66,723
64,563
-3.2
159,119
146,073
-8.2
291,472
278,440
-4.5
5,802.6
5,542.7
-4.5
4,282.2
4,628.2
+8.1
5,785.8
5,558.4
-3.9
6,000.3
5,825.8
-2.9
5,642.5
5,139.2
-8.9
6,122.1
5,721.3
-6.5
21,853
29,912
+36.9
650.9
849.3
+30.5
88.174
94,459
+7.1
2,626.1
2,681.9
+2.1
4J17
4,801
+11.2
721
817
+ 13.3
237
284
+ 19.8
146
138
-5.5
26
27
+3.8
23
39
+69.6
91
116
+27.5
132
139
+5.3
45
52
+15.6
21
22
+4.8
3,596
3,984
+ 10.8
42
41
-2.4
3,158
3,553
+12.5
53
44
-17.0
134
108
-19.4
209
238
+ 13.9
467
600
+28.5
'Populations are Bureau of the Census provisional estimates as of July 1, 1989 and decennial census counts for 1990 and are subject to change.
'Although arson data are included in the trend and clearance tables, sufficient data are not available to estimate totals for this offense.
^Violent crimes arc offenses of murder, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, and motor vehicle theft. Data are not included
for the property crime of arson.
'Forcible rape figures furnished by the state-level Uniform Crime Reporting (UCR) Program administered by the Illinois Department of Stale Police were not in accordance with national
UCR guidelines. The 1989 and 1990 forcible rape totals for Illinois were estimated using the national rate of forcible rapes when grouped by tike agencies. See "Offense Estimation," page 3 for
details.
'Population and offense data are not included in U.S. totals.
Offense totals are based on all reporting agencies and estimates for unreported areas.
58
T«ble 4.—
Index of Crime: Regi
on, Geographic Division, and SUte, 1989-
1990 — Continued
Forcible rape
Robbery
Aggravated
assault
Burglary
Larceny-theft
Motor vehicle theft
Anon'
Number
Rate per
100,000
Number
Rate per
100,000
Number
Rate per
100,000
Number
Rate per
100.000
Number
Rate per
100.000
Number
Rate per
100,000
Number
Rale per
100,000
21,849
42.2
122,253
236.0
242,248
467.7
718,767
1,387.7
1,881,776
3,633.1
401,641
775.4
23,673
44.8
138,937
263.2
259,043
490.7
688,347
1.304.0
1.855,237
3,514.6
410,693
778.0
+8.3
+6.2
+13.6
+11.5
+6.9
+4.9
-4.2
-6.0
-1.4
-3.3
+2.3
+.3
4,856
35.9
13,587
100.5
44,655
330.5
175,242
1,296.8
546,176
4,041.9
59,369
439.3
5,777
42.3
14,866
108.8
49,130
359.7
175,692
1,286.3
543,508
3,979.2
66,358
485.8
+19.0
+ 17.8
+9.4
+8.3
+ 10.0
+8.8
+.3
-.8
-.5
-1.6
+11.8
+ 10.6
1,286
36.2
4,944
139.0
14,853
417.7
59,284
1,667.2
181,574
5,106.1
24,426
686.9
1,500
40.9
5,897
160.9
16,230
442.8
61,206
1,669.9
172,375
4,703.0
31,648
863.5
+ 16.6
+13.0
+ 19.3
+ 15.8
+9.3
+6.0
+3.2
+.2
-5.1
-7.9
+29.6
+25.7
1,202
36.2
2,984
90.0
11,304
340.8
41,475
1,250.4
128,195
3,864.8
15,022
452.9
1,521
46.2
2,985
90.6
12,684
385.0
39,822
1,208.8
128,172
3,890.6
14,112
428.4
+26.5
236
+27.6
23.3
+.7
15.0
+ 12.2
2,168
+ 13.0
213.8
-4.0
8,843
-3.3
872.1
+.7
• 2,645.5
-6.1
1,610
-5.4
158.8
152
26,825
275
27.3
151
15.0
2,323
230.7
8,187
813.2
28,216
2,802.7
1,666
165.5
+ 16.5
+ 17.2
-.7
+7.1
+7.9
-7.4
-6.8
+5.2
+5.9
+3.5
+4.2
225.6
145
18.0
137
17.0
630
78.2
5,575
691.7
23,892
2,964.3
1,818
195
24.4
173
21.7
866
108.4
5,666
709.1
27,098
3,391.2
1,938
242.5
+34.5
+35.6
+26.3
+27.6
+37.5
+38.6
+ 1.6
+2.3
+ 13.4
+ 14.4
+6.6
+7.5
662
59.6
2,784
250.6
3,410
306.9
15,607
1,404.8
40,686
3,662.1
6,439
579.6
748
62.2
2,864
238.3
3,494
290.7
16,434
1,367.4
42,097
3,502.7
7,121
592.5
+ 13.0
+4.4
+2.9
-4.9
+2.5
-5.3
+5.3
-2.7
+3.5
-4.4
+ 10.6
+2.2
702
45.9
1,607
105.2
8,314
544.1
26,146
1,711.1
58,201
3,809.0
5,346
349.9
753
49.7
1,744
115.1
9,185
606.2
26,343
1,738.7
58,004
3,828.5
5,101
336.7
+7.3
+8.3
+8.5
+9.4
+ 10.5
+11.4
+.8
+ 1.6
-.3
+.5
-4.6
-3.8
489
28.6
898
52.6
2,985
174.9
15,311
897.0
73,210
4,288.8
4,056
237.6
651
37.8
980
56.9
3,209
186.3
15,172
880.6
73,352
4,257.6
4,096
237.7
+33.1
134
+32.2
28.2
+9.1
81
+8.2
17.1
+7.5
991
+6.5
208.6
-.9
3,001
-1.8
631.8
+.2
13.593
-.7
2,861.7
+ 1.0
652
137.3
134
29.5
72
15.9
1,139
251.1
2,862
631.0
14,194
3,129.3
676
149.0
+4.6
-11.1
-7.0
+ 14.9
+20.4
-4.6
-.1
+4.4
+9.4
+3.7
+8.5
16,993
44.4
108,666
283.8
197,593
516.1
543,525
1,419.8
1,335,600
3,488.8
342,272
894.1
17,896
45.7
124,071
317.1
209,913
536.5
512,655
1,310.2
1,311,729
3,352.5
344,335
880.0
+5.3
+2.9
+ 14.2
+ 11.7
+6.2
+4.0
-5.7
-7.7
-1.8
-3.9
+.6
-1.6
279
52.9
356
67.6
1,946
369.3
4,358
826.9
15,811
3,000.2
2,398
455.0
401
72.9
422
76.7
2,021
367.4
4,919
894.3
17,428
3,168.5
3,110
565.4
+43.7
+37.8
+ 18.5
+13.5
+3.9
-.5
+ 12.9
+8.2
+ 10.2
+5.6
+29.7
+24.3
11,966
41.2
96,431
331.8
172,581
593.8
410,468
1,412.3
972,603
3,346.5
298,445
1,026.9
12,688
42.6
112,208
377.0
182,602
613.6
400,392
1,345.4
951.580
3,197.5
302,214
1,015.5
+6.0
+3.4
+ 16.4
+ 13.6
+5.8
+3.3
-2.5
-4.7
-2.2
-4.5
+ 1.3
-1.1
496
44.6
925
83.2
1,530
137.6
14,939
1,343.4
47,374
4,260.3
4,410
396.6
360
32.5
1,013
91.4
1,696
153.0
13,611
1,228.2
46,735
4,217.1
4,217
380.5
-27.4
-27.1
+9.5
+9.9
+ 10.8
+11.2
-8.9
-8.6
-1.3
-1.0
-4.4
-4.1
1,314
46.6
4,282
151.8
8,895
315.4
40,197
1.425.4
103,690
3,677.0
15,232
540.1
1,332
46.9
4,102
144.3
8,863
311.8
32,273
1,135.4
100,765
3,545.2
13,035
458.6
+1.4
+.6
-4.2
-4.9
-.4
-1.1
-19.7
-20.3
-2.8
-3.6
-14.4
-15.1
2,938
61.7
6,672
140.1
12,641
265.5
73,563
1,545.1
196,122
4,119.3
21,787
457.6
3,115
64.0
6,326
130.0
14,731
302.7
61,460
1,262.9
195,221
4,011.4
21,759
447.1
+6.0
+3.7
-5.2
-7.2
+ 16.5
+ 14.0
-16.5
-18.3
-.5
-2.6
-.1
-2.3
509
15.2
13,230
394.0
7,647
227.8
33,721
1,004.3
37,979
1,131.1
16,474
490.7
426
12.1
20,923
594.1
7,963
226.1
34,781
987.5
39,795
1,129.9
19,883
564.5
-16.3
-20.4
+58.1
+50.8
+4.1
-.7
+3.1
-1.7
+4.8
-.1
+20.7
+ 15.0
59
Table 5.— Index of Crime, SUte, 1990
Population
Crime
Index
toul
Modified
Crime
Index
total'
Violent
crimc^
Property
crime^
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
ALABAMA
Metropolitan Statistical
Area
Area actually reporting
Estimated totals
Other Cities
Area actually reporting
Estimated totals
Rural
Area actually reporting
Estimated totals
State Total
Rate per 100,000
inhabitants
ALASKA
Metropolitan Statistical
Area
Area actually reporting
Other Cities
Area actually reporting
Estimated totals
Rural
Area actually reporting
State Total
Rate per 100,000
inhabitants
ARIZONA
Metropolitan Statistical
Area
Area actually repotting
Other Cities
Area actually reporting
Estimated totals
Rural
Area actually reporting
Estimated totals
State Total
Rate per 100,000
inhabitants
ARKANSAS
Metropolitan Statistical
Area
Area actually reporting
Other Cities
Area actually reporting
Estimated totals
Rural
Area actually reporting
Slate Total
Rate per 100,000
inhabitants
CALIFORNU
Metropolitan Statistical
Area
Area actually reporting
Estimated totals
Other Cities
Area actually reporting
Estimated totals
Rural
Area actually reporting
State Total
Rate per 100,000
inhabitants
See footnotes at end of table.
2,724,153
98.5%
160,943
100.0%
162,900
550,116
93.5%
26,641
100.0%
28,500
766,318
92.3%
6,653
100.0%
7,204
4,040,587
198,604
4,915.2
226,338
100.0%
13,007
143,491
86.9%
8,141
100.0%
9,368
180,214
100.0%
5,967
550,043
28,342
5,152.7
2,788,981
100.0%
247,199
471,165
96.7%
31,453
100.0%
32,511
405,082
89.5%
8,439
100.0%
9,430
3,665,228
289,140
7,888.7
942,502
100.0%
70,675
560,035
99.6%
31,557
100.0%
31,668
848,188
100.0%
12,065
2J50,725
114.408
28,493,466
99.9%
100.0%
531,422
99.7%
100.0%
735,133
100.0%
29,760,021
4,866.9
1,909,739
1,909,811
32,959
33,073
22,353
1,%5,237
6,603.6
23,263
23,522
4,002
4,281
764
827
28,630
708.6
1,330
716
824
731
2,885
524.5
20,279
2,306
2,383
1,117
1,249
234>11
652.4
8,506
2,950
2,961
1,044
12,511
532.2
305,019
305,028
3,288
3,300
2,723
311,051
1,045.2
137,680
139,378
22,639
24,219
5,889
6,377
169,974
4,206.7
11,677
7,425
8,544
5,236
25,457
4,628.2
226,920
29,147
30,128
7,322
8,181
265,229
7,236.4
62,169
28,607
28,707
11,021
101,897
4,334.7
1,604,720
1,604,783
29,671
29,773
19,630
1.654,186
5,558.4
361
364
47
50
49
53
467
11.6
10
7.5
226
23
24
30
34
284
7.7
121
69
241
10.3
3,467
3,467
20
20
66
3,553
11.9
1,100
1,111
137
147
56
61
1319
32.6
203
94
108
90
401
72.9
1,262
133
137
90
101
1,500
40.9
725
168
169
125
1,019
43.3
12,236
12,236
252
253
199
12,688
42.6
5,212
5,259
446
477
64
69
5,805
143.7
350
19
422
76.7
5,547
278
287
56
63
5,897
160.9
2,120
458
460
81
2,661
113.2
111,506
111,509
520
522
177
112,208
377.0
16,590
16,788
3,372
3,607
595
644
21,039
520.7
767
565
650
604
2,021
367.4
13,244
1,872
1,935
941
1,051
16,230
442.8
5,540
2,273
2,281
769
8,590
365.4
177,810
177,816
2,496
2,505
2,281
182,602
613.6
34,968
35,398
5,605
5,996
2,947
3,191
44,585
1,103.4
2,060
1,194
1,374
1,485
4,919
894.3
51,943
5,827
6,023
2,900
3,240
61,206
1,669.9
16,297
7,761
7,788
4,379
28,464
1,210.9
385,805
385,820
7,065
7,089
7,483
400392
1,345.4
90,210
91,359
16,108
17,232
2,535
2,745
111336
2,755.4
8,083
5,380
6,191
3,154
17,428
3,168.5
145,673
21,620
22,348
3,897
4,354
172375
4,703.0
41,295
19,372
19,440
5,895
66,630
2,834.4
920,040
920,078
20,522
20,593
10,909
951,580
3,197.5
12,502
12,621
926
991
407
441
14,053
347.8
1,534
851
979
597
3,110
565.4
29,304
1,700
1,757
525
587
31,648
863.5
4,577
1,474
1,479
747
6,803
289.4
298,875
298,885
2,084
2,091
1,238
302,214
1,015.5
60
TaUc S.— Index of Crime, State, 199fr-Continiied
COLORADO
Metropolitan Statistical
Area
Area actually reporting
Estimated totals
Other Cities
Area actually reporting
Rural
Area actually reporting
Slate Total
Rate per 100,000
inhabitants
CONNECTICUT
Metropolitan Statistical
Area
Area actually reporting
Other Cities
Area actually reporting
Rural
Area actually reporting
State Total
Rate per 100,000
inhabitants
DELAWARE
Metropolitan Statistical
Area
Area actually reporting
Other Cities
Area actually reporting
Rural
Area actually reporting
State Total
Rate per 100,000
inhabitants
DISTRICT OF CX)LUMBU
Metropolitan Statistical
Area
Area actually reporting ...
Other Cities
Rural
State Total
Rate per 100,000
inhabitants
FLORIDA
Metropolitan Statistical
Area
Area actually reporting
Estimated totals
Other Cities
Area actually repotting
Estimated totals
Rural
Area actually reporting
Stale Total
Rate per 100,000
inhabitants
GEORGU
Metropolitan Statistical
Area
Area actually reporting
Estimated totals
Other Cities
Area actually reporting
Estimated totals
Rural
Area actually reporting
Estimated totals
State Total
Rate per 100,000
inhabitants
PopuUlioD
2,678,974
99.9%
100.0%
280,630
100.0%
334,790
100.0%
3,294J94
3,008,400
100.0%
90,318
100.0%
188,398
100.0%
3087,116
Crime
Index
loul
170,528
170,574
19,103
9,757
199,434
6,053.7
169,656
3,602
3,810
177,068
5,386.7
441,946
100.0%
25,148
73,218
100.0%
5,778
151,004
100.0%
4,783
«««,1«8
35,709
5,360.4
606,900
100.0%
65,389
NONE
NONE
606,900
65,389
10,774.3
11,750,628
99.8%
1,078,769
100.0%
1,080,547
295,897
98.0%
24,386
100.0%
24,884
891,401
100.0%
34,503
12,937,926
1,139,934
8,810.8
4,212,380
98.4%
332,409
100.0%
337,199
836,441
91.8%
55,675
100.0%
60,665
1,429,395
99.1%
39,932
100.0%
40,297
6,478,216
438,161
6,763.6
ModiHed
Crime
lodex
total'
Violenl
crime^
1 5,706
15,710
950
668
17J28
526.0
17,511
153
537
18,201
553.7
2,739
673
953
.4365
655.2
14,919
14,919
2,458.2
152,095
152,302
3,517
3,589
5,099
160,990
1,244.3
36,931
37,324
6,699
7,300
4,332
4,372
48,996
756.3
Properly
crime*
154,822
154,864
18,153
9,089
182,106
5,527.8
152,145
3,449
3,273
158,867
4,833.0
22,409
5,105
3,830
31344
4,705.1
50,470
50,470
8,316.0
926,674
928,245
20,869
21,295
29,404
978,944
7,566.5
295,478
299,875
48,976
53,365
35,600
35,925
389,165
6,007.3
Murder
and non-
ne^igent
man-
slaughter
123
123
138
4.2
161
2
3
166
5.1
18
4
11
33
5.0
472
472
77.8
1,278
1,279
27
28
72
U79
10.7
552
556
97
106
104
105
767
11.8
Forcible
rape
1,420
1,420
72
29
1,521
46.2
859
19
40
918
27.9
323
70
194
587
88.1
303
303
49.9
6,293
6,299
101
103
379
6,781
52.4
2.571
2,604
387
422
442
446
3,472
53.6
Robbery
2,885
2,886
86
13
2,985
90.6
7,637
38
42
7,717
234.8
913
132
53
1,098
164.8
7,365
7365
1.213.5
52,481
52,553
795
811
564
53,928
416.8
14,525
14,673
1,613
1,758
630
636
17,067
263.5
Aggra-
vated
assault
11.278
11,281
785
618
12,684
385.0
8,854
94
452
9,400
286.0
1,485
467
695
2,647
397.3
6,779
6,779
1,117.0
92,043
92,171
2,594
2,647
4.084
98,902
764.4
19.283
19.491
4,602
5,014
3.156
3.185
27,690
427.4
Burglary
Larceny-
theft
35.052
35.060
2.751
2.011
39,822
1,208.8
38,430
695
1,230
40355
1,227.7
4,481
813
1,171
6,465
970.5
12,035
12,035
1.983.0
263,140
263,546
5,769
5,887
11.399
280,832
2,170.6
75,532
76,589
12,991
14,155
14.033
14.161
104,905
1,619.4
106.886
106,918
14,704
6,550
128,172
3,890.6
90,227
2,544
1,714
94,485
2,874.4
15,461
4,058
2.403
21,922
3,290.8
30,326
30326
Motor
vehicle
theft
12,884
12,886
698
528
14,112
428.4
23,488
210
329
24,027
730.9
2,467
234
256
2,957
443.9
8,109
8,109
4,996.9 1336.1
560,160
561,174
13,861
14.144
15,892
591,210
4,569.6
182,966
185,805
33,073
36,037
18,611
18.781
240,623
3,7143
103.374
103,525
1,239
1.264
2.113
106,902
826.3
36,980
37,481
2,912
3.173
2.956
2.983
43,637
673.6
See footnotes at end of table.
61
Table S.— Index of Crime, State, 1990— Continued
PopulaliOD
Crime
Index
total
Modified
Crime
Index
total'
Violent
crimc^
Property
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
HAWAII
Metropolitan Statistical
Area
Area actually reporting
Other Cities
Area actually reporting
Rural
Area actually reporting
State Total
Rate per 100,000
inhabitants
IDAHO
Metropolitan Statistical
Area
Area actually reporting
Other Cities
Area actually reporting
Estimated totals
Rural
Area actually reporting
Estimated totals
State Total
Rate per 100,000
inhabitants
ILUNOIS<
Metropolitan Statistical
Area
Area actually reporting
Estimated totals
Other Cities
Area actually reporting
Estimated totals
Rural
Area actually reporting
State Total
Rate per 100,000
inhabitants
INDIANA
Metropolitan Statistical
Area
Area actually reporting
Estimated totals
Other Cities
Area actually reporting
Estimated totals
Rural
Area actually reporting
Estimated totals
State Total
Rate per 100,000
inhabitants
IOWA
Metropolitan Statistical
Area
Area actually reporting
Other Cities
Area actually reporting
Estimated totals
Rural
Area actually reporting
Estimated totals
State Total
Rate per 100,000
inhabitants
See footnotes at end of table.
836,231
100.0%
37,054
100.0%
234,944
100.0%
1,108,229
9.413,349
99.8%
100.0%
1,038,566
97.7%
100.0%
978,687
100.0%
11,430,602
51,028
3,392
13,256
67,676
6,106.7
205,775
100.0%
9,728
385.966
99.7%
22,455
100.0%
22,530
415.008
97.4%
8,365
100.0%
8,587
1,006,749
40,845
4,057.1
678,416
5,935.1
3.796.394
84.3%
184.395
100.0%
208,188
615,828
73.0%
23,232
100.0%
31,806
1,131,937
41.1%
8,072
100.0%
19,657
5,544,159
259,651
4.683.3
1.222.767
100.0%
71,797
674.640
99.2%
29,262
100.0%
29,484
879,348
98.1%
12,346
100.0%
12,590
2,776,755
113,871
2,412
155
546
3,113
280.9
644
1,390
1,394
719
738
2,776
275.7
4.100.9
110,575
967.4
20.299
21.836
1,461
2.001
1.001
2.438
26,275
473.9
5.780
1,862
1,877
651
664
8,321
299.7
48,616
3,237
12,710
64,563
5,825.8
9,084
21,065
21,136
7.646
7.849
38,069
3,781.4
516,717
517,379
37,775
38,674
11,788
567,841
4,967.7
164.096
186.352
21,771
29,805
7.071
17,219
233,376
4,209.4
66,017
27,400
27,607
11,695
11.926
105,550
3.801.2
4.0
11
11
12
12
27
2.7
1,153
1,153
21
22
7
1,182
10.3
246
266
7
10
28
68
344
6.2
37
9
9
54
1.9
278
26
56
360
32.5
73
134
134
66
68
275
27.3
4,505
39.4
1,592
1,755
103
141
85
207
2,103
37.9
389
81
82
38
39
510
18.4
889
39
85
1,013
91.4
55
72
72
23
24
151
15.0
44,632
44,651
328
336
51
45,038
394.0
4,786
5,081
243
J33
84
205
5,619
101.3
936
123
124
28
29
1,089
39.2
1.211
86
399
1,696
153.0
512
1,173
1,177
618
634
2,323
230.7
57,415
57,447
1,796
1,839
564
59,850
523.6
13,675
14,734
1,108
1,517
804
1,958
18,209
328.4
4,418
1,650
1,663
576
587
6,668
240.1
9,785
668
3,158
13,611
1,228.2
2,002
3,655
3,667
2,453
2,518
8,187
813.2
109,328
109,450
7.605
7.786
4,270
121,506
1,063.0
36,797
41,477
3.787
5.185
2,314
5,635
52,297
943.3
13,918
4,784
4,820
3.638
3,710
22,448
808.4
35,514
2,392
8,829
46,735
4,217.1
6,695
16,635
16.691
4.705
4.830
28,216
2.802.7
335.782
336.262
28.917
29,605
6.995
372,862
3.262.0
108.070
123.644
16.892
23.125
4.095
9.972
156,741
2.827.1
49.018
21.557
21,720
7,498
7,646
78,384
2,822.9
3.317
177
723
4,217
380.5
387
775
778
488
501
1,666
165.5
71.607
71.667
1.253
1,283
523
73,473
642.8
19.229
21.231
1.092
1.495
662
1,612
24,338
439.0
3,081
1.059
1,067
■ 559
570
4,718
169.9
62
Table 5.— Index of Crime, State, 1990— Continued
Population
Crime
Index
total
Modified
Crime
Index
total'
Violent
crimc^
Property
crimc^
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
KANSAS
Metropolitan Statistical
Area
Area actually reponing
Other Cities
Area actually reporting
Estimated totals
Rural
Area actually reporting
State Total
Rate per 100,000
itihabitants
KEHWCKY
Metropolitan Statistical
Area
Area actually reporting
Estimated totals
Other Cities
Area actually reporting
Estimated totals
Rural
Area actually reponing
Slate Total
Rate per 100,000
inhabitants
LOUISIANA
Metropolitan Statistical
Area
Area actually reporting
Estimated totals
Other Cities
Area actually reporting
Estimated totals
Rural
Area actually reporting
Estimated totals
State Total
Rate per 100,000
inhabitants
MAINE
Metropolitan Statistical
Area
Area actually reponing
Other Cities
Area actually reporting
Rural
Area actually reporting
State Total
Rate per 100,000
inhabitants
MARYLAND
Metropolitan Statistical
Area
Area actually reporting
Other Cities
Area actually reporting
Rural
Area actually reponing
State Total
Rate per 100,000
inhabitants
See footnotes at end of uble.
1,334,257
100.0%
89,931
680,665
99.2%
30,800
100.0%
31,051
462,652
100.0%
7,682
2,477,574
128,664
5,193.1
1,713,911
99.9%
80,760
100.0%
80,799
591,420
99.8%
22.994
100.0%
23,040
1,379,965
100.0%
17,755
3,685,296
121,594
3,299.4
2,935,482
92.8%
222,089
100.0%
234,457
431,242
54.5%
12,352
100.0%
22,652
853,249
59.8%
9,943
100.0%
16,627
4,219,973
273,736
6,486.7
452,972
100.0%
22,496
424,440
100.0%
16,335
350,516
100.0%
6,575
,227,928
45,406
3,697.8
4,438,887
100.0%
263,742
85,833
100.0%
8,501
256,748
100.0%
6,539
4,781,468
278,782
5,830.5
8,450
2,035
2,051
592
11,093
447.7
8,407
8,412
2,971
2,977
2,997
14J86
390.4
30,712
32,065
1,511
2,770
1,841
3,079
374>14
898.4
920
539
300
1,759
143.2
41,657
1,115
1.168
43,940
919.0
81,481
28,765
29,000
7,090
117,571
4,745.4
72,353
72,387
20,023
20,063
14,758
107,208
2,909.1
191,377
202,392
10,841
19,882
8,102
13,548
235,822
5.588.2
21,576
15,796
6,275
43,647
3,554.5
222,085
7,386
5,371
234,842
4,911.5
75
4.0
112
112
135
264
7.2
577
594
28
51
47
79
724
17.2
2.4
527
6
19
552
11.5
758
180
181
63
1,002
40.4
593
593
135
135
340
1,068
29.0
1,368
1,446
46
84
150
251
1,781
42.2
100
81
61
242
19.7
2,041
58
86
2,185
45.7
2,712
170
171
31
2,914
117.6
2,118
2,119
268
269
157
2,545
69.1
10,596
10,934
178
326
76
127
11J87
269.8
229
64
15
308
25.1
17,128
174
92
17494
363.8
4,905
1,667
1,681
493
7,079
285.7
5,584
5,588
2,551
2.556
2,365
10,509
285.2
18,171
19,091
1,259
2,309
1,568
2,622
24,022
569.2
579
384
216
1.179
96.0
21,961
877
971
23,809
497.9
19,874
6,238
6,289
2,738
28,901
1,166.5
17,490
17,497
4,572
4,581
6,186
28,264
766.9
49,028
51,694
2,473
4,535
2,660
4,448
60,677
1,437.9
4,647
2,825
2,634
10,106
823.0
50,250
1,526
1,773
53,549
1,119.9
54,623
21,530
21,706
4.032
80,361
3,243.5
50,206
50.231
14,181
14,209
7,154
71,594
1,942.7
118,965
126,414
8,079
14,817
5,096
8,521
149,752
3,548.6
15,777
12,319
3,276
31,372
2,554.9
138,629
5,539
3,239
147,407
3.082.9
6,984
997
1,005
320
8,309
335.4
4,657
4,659
1,270
1,273
1,418
7,350
199.4
23,384
24,284
289
530
346
579
25393
601.7
1,152
652
365
2,169
176.6
33,206
321
359
33,886
708.7
63
Table 5.— Index of Crime, State, 1990— Continued
Population
Crime
Index
total
Modified
Crime
Index
total'
Violent
crime'
Property
Murder
and non-
nc^igent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
tbeft
MASSACHUSETTS
Metropolitan Statistical
Area
Area actually reporting
Estimated totals
Other Cities
Area actually reporting
Estimated totals
Rural
Area actually reporting
State Total
Rate per 100,000
inhabitants
MICHIGAN
Metropolitan Statistical
Area
Area actually reporting
Estimated totals
Other Cities
Area actually reporting
Estimated totals
Rural
Area actually reporting
State Total
Rate per 100,000
inhabitants
MINNESOTA
Metropolitan Statistical
Area
Area actually reporting
Other Cities
Area actually reporting
Rural
Area actually reporting
State Total
Rate per 100,000
inhabitants
MISSISSIPPI
Metropolitan Statistical
Area
Area actually reporting
Estimated totals
Other Cities
Area actually reporting
Estimated totals
Rural
Area actually reporting
Estimated totals
Slate Total
Rate per 100,000
inhabitants
MISSOURI
Metropolitan Statistical
Area
Area actually reporting
Estimated totals
Other Cities
Area actually reporting
Estimated totals
Rural
Area actually reporting
Estimated totals
State Total
Rate per 100,000
inhabitants
See footnotes at end of ubie.
5,469,677
87.0%
265,653
100.0%
292,171
534,562
62.5%
16,517
100.0%
26,442
12,186
100.0%
129
6,016,425
318,742
2,961,112
100.0%
531,794
100.0%
882,193
100.0%
4,375,099
5,297.9
7,449,768
98.1%
486.412
100.0%
494,422
677,698
97.5%
28,338
100.0%
29,067
1,167,831
100.0%
33,743
9,295,297
557,232
5,994.8
158,048
23,026
17,503
198,577
4,538.8
775,674
79.9%
42,700
100.0%
47,299
667,474
74.1%
31,049
100.0%
41,908
1,130,068
35.8%
3,706
100.0%
10,354
2,573,216
99,561
3,869.1
3,387.465
96.8%
220,530
100.0%
224,395
484,084
88.0%
19,927
100.0%
22,648
1,245,524
70.3%
10,534
100.0%
14,981
5,117,073
262,024
5,120.6
38,365
41,043
2,011
3,219
38
44,300
736.3
67,902
68,592
1,715
1,759
3,117
73,468
790.4
11,739
845
808
13,392
306.1
3,325
3,726
2,566
3,463
562
1,569
8,758
340.4
32.974
33,299
1,335
1,517
1,255
1,786
36.602
715.3
227,288
251,128
14,506
23,223
91
274,442
4,561.5
418,510
425,830
26,623
27,308
30,626
483,764
5,204.4
146,309
22,181
16,695
185,185
4,232.7
39,375
43,573
28.483
38,445
3,144
8,785
90,803
3,528.8
187.556
191.096
18.592
21.131
9.279
13,195
225,422
4,405.3
228
235
243
4.0
926
931
34
971
10.4
13
117
2.7
80
94
78
105
41
114
313
12.2
385
389
18
20
28
40
449
8.8
1,692
1,807
137
219
4
2,030
33.7
5,710
5,769
371
381
1,059
7,209
77.6
1.181
152
154
1,487
34.0
450
567
226
305
94
262
1,134
44.1
1.393
1,417
107
122
87
124
1,663
32.5
12,245
12,803
161
258
1
13,062
217.1
21,354
21,517
119
122
113
21,752
234.0
3,983
55
19
4,057
92.7
1,218
1,285
552
745
67
187
2,217
86.2
10,781
10,838
145
165
49
70
11,073
216.4
24,200
26,198
1,708
2,734
33
28,965
481.4
39,912
40,375
1,219
1.250
1.911
43,536
468.4
6.477
632
622
7,731
176.7
1,577
1,780
1.710
2.308
360
1.006
5,094
198.0
20,415
20,655
1,065
1,210
1,091
1,552
23,417
457.6
54,405
59,941
4,356
6,974
27
66,942
1,112.7
89,316
90.526
4,119
4,225
11,524
106,275
1,143.3
31,528
2,887
5,276
39,691
907.2
14,541
16,563
8,423
11,369
1,526
4,264
32,196
1.251.2
44.104
44.923
3.338
3,794
4,092
5,819
54,536
1,065.8
123,563
137,655
8,893
14,237
41
151,933
2,525.3
266,216
271.481
21.527
22.081
17.591
311,153
3,347.4
101.135
18.114
10.251
129,500
2,959.9
22.200
24.045
18.691
25.228
1,429
3.993
53,266
2.070.0
1 1 7.649
120.094
14,502
16,482
4.719
6.711
143,287
2.800.2
64
Table 5.— Index of Crime, SUte, 1990— Continued
Population
Cnmc
Index
total
Modified
Cnme
Index
total'
Violent
cnmc-
Property
crime'
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
MONTANA
Metropolitan Statistical
Area
Area actually reporting
Other Cities
Area actually reporting
Estimated totals
Rural
Area actually reporting
Estimated totals
State Total
Rate per 100,000
inhabitants
NEBRASKA
Metropolitan Statistical
Area
Area actually reporting
Other Cities
Area actually reporting
Estimated totals
Rural
Area actually reporting
Estimated totals
Snte Total
Rate per 100,000
inhabitants
NEVADA
Metropolitan Statistical
Area
Area actually reporting
Estimated totals
Other Cities
Area actually reporting
Estimated totals
Rural
Area actually reporting
Estimated totals
Stale Total
Rate per 100,000
inhabitants
NEW HAMPSHIRE
Metropolitan Statistical
Area
Area actually reporting
Estimated totals
Other Cities
Area actually reporting
Estimated totals
Rural
Area actually reporting
Estimated totals
Stale Total
Rate per 100,000
Inhabitants
NEW JERSEY
Metropolitan Statistical
Area
Area actually reporting
Other Cities
Rural
State Total
Rate per 100,000
inhabitants
See footnotes at end of table.
191,162
100.0%
189.810
81.8%
100.0%
418,093
92.6%
100.0%
799,065
7,730,188
100.0%
NONE
NONE
7,730,188
11.986
10.759
13,147
10,038
10.842
35,97S
4,502.1
766,017
100.0%
44,122
382,956
98.4%
15.886
100.0%
16.142
429,412
98.9%
6,167
100.0%
6,235
1,578,385
66,499
4,213.1
996,126
95.2%
64,337
100.0%
66,886
36,331
59.4%
1,277
100.0%
2,148
169,376
59.8%
2.297
100.0%
3.840
1,201,833
72.874
6,063.6
591,129
98.4%
26,094
100.0%
26,451
337,563
93.9%
12,069
100.0%
12,858
180.560
96.3%
1,085
100.0%
1,126
,109,252
40,435
3,645.2
421.080
421.080
5.447.2
325
358
438
473
510
1,273
159.3
4.348
546
555
303
306
5,209
330.0
6,312
6,506
98
165
330
551
7,222
600.9
824
836
494
527
93
96
1,459
131.5
50,057
50,057
647,6
11.661
10,401
12.709
9.565
10.332
34,702
4,342.8
39,774
15,340
15,587
5.864
5.929
61,290
3.883.1
58,025
60.380
1,179
1.983
1.967
3.289
65,652
5,462.7
25.270
25,615
11,575
12,331
992
1.030
38,976
3.513.7
371.023
371,023
4.799.7
23
10
6
6
39
4.9
43
2.7
101
104
4
7
3
5
116
9.7
14
14
2
2
5
5
21
1.9
432
432
5.6
77
48
59
55
59
195
24.4
347
70
71
54
55
473
30.0
669
713
6
10
15
25
748
62.2
211
214
131
140
31
32
386
34.8
2.307
2,307
29.8
93
40
49
29
31
173
21.7
744
42
43
20
20
807
51.1
2.751
2.799
10
17
29
48
2.864
238.3
232
234
57
61
7
7
302
27.2
23,269
23,269
301.0
132
262
320
383
414
866
108.4
3.236
420
427
221
223
3,886
246.2
2,791
2,890
78
131
283
473
3,494
290.7
367
374
304
324
50
52
750
67.6
24,049
24,049
311.1
1,927
1,180
1,442
2,126
2,297
5,666
709.1
7,489
2,339
2,377
1,541
1,558
1 1,424
723.8
14.049
14.585
342
575
762
1.274
16,434
1.367.4
5.218
5.285
2.284
2.433
424
440
8,158
735.5
78.628
78,628
1.017.2
9.100
8.751
10.693
6.763
7.305
27.098
3.391.2
30.284
12.485
12.686
4.039
4.084
47.054
2,981.1
37,366
39,011
764
1,285
1.077
1.801
42.097
3.502.7
18.030
18.282
8,726
9,296
513
533
28,111
2,534.2
219.767
219,767
2,843.0
634
470
574
676
730
1,938
242.5
2.001
516
524
284
287
2,812
178.2
6.610
6.784
73
123
128
214
7.121
592.5
2.022
2.048
565
602
55
57
2.707
244.0
72.628
72,628
939.5
65
Table 5.— Index of Crime, State, 1990— Continued
Population
Crime
Index
total
Modified
Crime
Index
total'
Violent
crimc^
Property
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Lanxny-
theft
Motor
vehicle
theft
NEW MEXICO
Metropolitan Statistical
Area
Area actually reporting
Estimated totals
Other Cities
Area actually reporting
Estimated totals
Rural
Area actually reporting
Estimated totals
State Total
Rate per 100,000
inhabitants
NEW YORK
Metropolitan Statistical
Area
Area actually reporting
Estimated totals
Other Cities
Area actually reporting
Estimated totals
Rural
Area actually reporting
Estimated totals
State Total
Rate per 100,000
inhabitants
NORTH CAROLINA
Metropolitan Statistical
Area
Area actually reporting
Estimated totals
Other Cities
Area actually reporting
Estimated totals
Rural
Area actually reporting
Estimated totals
State Total
Rate per 100,000
inhabitants
NORTH DAKOTA
Metropolitan Statistical
Area
Area actually reporting
Estimated totals
Other Cities
Area actually reporting
Estimated totals
Rural
Area actually reporting
Estimated totals
State TotaJ
Rate per 100,000
inhabitants
OHIO
Metropolitan Statistical
Area
Area actually reporting
Estimated totals
Other Cities
Area actually reporting
Estimated totals
Rural
Area actually reporting
Estimated totals
State Total
Rate per 100,000
inhabitants
733,130
86.2%
53,855
100.0%
61,464
462,276
84.0%
25,737
100.0%
30,632
319,663
62.2%
5,702
100.0%
9,173
1,515.069
101,269
6,684.1
16,386,674
99.5%
1.090,993
100.0%
1,093,999
687,181
98.9%
28,744
100.0%
29,049
916,600
96.0%
20,952
100.0%
21,826
17,990,455
1,144,874
6,363.8
3,757,924
99.7%
243,532
100.0%
244,420
904,499
93.4%
68,048
100.0%
72,840
1,966,214
95.4%
44,251
100.0%
46,378
6,628,637
363,638
5,485.9
257,388
98.1%
10,124
100.0%
10,367
142,562
77.5%
4,031
100.0%
5,204
238,850
30.5%
944
100.0%
3,097
638,800
18,668
2,922.4
8,557,019
87.8%
426,510
100.0%
460,986
855,059
81.9%
34,387
100.0%
41,989
1,435,037
69.9%
15,652
100.0%
22,398
10,847,115
525,373
4,843.4
6,524
7,105
2,557
3,043
1,040
1,673
11,821
780.2
208,107
208,348
2,238
2,261
1,775
1,849
212,458
1,180.9
28,107
28,201
8,148
8,722
4,207
4,409
41,332
623.5
234
237
83
107
39
128
472
73.9
48,376
50,668
2,006
2,450
1,248
1,786
54,904
506.2
47,331
54,359
23,180
27,589
4.662
7.500
89,448
5.903.9
882,886
885,651
26,506
26,788
19,177
19,977
932,416
5,182.8
215,425
216,219
59,900
64,118
40,044
41,969
322,306
4,862.3
9,890
10,130
3,948
5,097
905
2,969
18,1%
2,848.5
378,134
410,318
32,381
39.539
14,404
20.612
470,469
4.337.3
61
71
24
29
24
39
139
9.2
2.571
2,573
8
8
23
24
2,605
14.5
391
392
128
137
174
182
711
10.7
585
608
17
21
24
34
663
6.1
356
415
169
201
85
137
753
49.7
5,109
5,119
116
117
127
132
5,368
29.8
1,625
1.630
321
344
284
298
2,272
34.3
99
100
114
17.8
4.416
4.652
230
281
99
142
5,075
46.8
1.271
1,376
238
283
53
85
1,744
115.1
112,022
112.095
205
207
75
78
112,380
624.7
7.941
7.964
1,566
1.676
422
442
10,082
152.1
19,262
19,864
381
465
85
122
20,451
188.5
4,836
5,243
2.126
2,530
878
1,412
9,185
606.2
88,405
88,561
1,909
1,929
1.550
1,615
92,105
512.0
18.150
18.215
6,133
6,565
3,327
3,487
28,267
426.4
102
104
65
84
35
115
303
47.4
24,113
25,544
1,378
1,683
1,040
1,488
28,715
264.7
14,625
16,654
5,656
6.732
1,838
2,957
26,343
1.738.7
196,196
196,730
5,004
5,057
6,745
7,026
208,813
1,160.7
64,130
64,344
16,616
17,786
18,428
19,314
101,444
1,530.4
1,289
1,317
384
496
278
912
2,725
426.6
86.880
93,184
5.950
7,265
4,281
6.126
106,575
982.5
29,883
34,454
16,578
19,731
2,374
3,819
58,004
3,828.5
500,919
502,858
20,698
20,918
11,746
12,236
536,012
2,979.4
138,506
1 39,045
40,369
43,212
18,894
19,802
202,059
3,048.3
8,133
8,335
3,373
4,354
589
1,932
14,621
2,288.8
243,586
266,812
25,060
30,600
9.267
13,261
310,673
2,864.1
2,823
3.251
946
1,126
450
724
5,101
336.7
185,771
186,063
804
813
686
715
187,591
1,042.7
12.789
12,830
2,915
3,120
2,722
2,853
18,803
283.7
468
478
191
247
38
125
850
133.1
47,668
50,322
1,371
1.674
856
1,225
53,221
490.6
See footnotes at end of table.
66
Table 5.— Index of Crime, State, 1990— Continued
PopulalioD
Crime
Index
total
Modined
Crime
Index
total'
Violent
crime^
Property
Murder
and non-
negligent
man-
slaughter
Forable
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
OKLAHOMA
Metropolitan Statistical
Afea
Area actually reporting
Other Cities
Area actually reporting
Estimated totals
Rural
Area actually reporting
State Total
Rate per 100,000
inhabitants
OREGON
Metropolitan Sutistical
Area
Area actually reporting
Estimated totals
Other Cities
Area actually reporting
Estimated totals
Rural
Area actually reporting
Slate Total
Rate per 100,000
inhabitants
PENNSYLVANU
Metropolitan Statistical
Area
Area actually reporting
Estimated totals
Other Cities
Area actually reporting
Estimated totals
Rural
Area actually reporting
State Total
Rate per 100,000
inhabitants
PUERTO RICO*
Metropolitan Statistical
Area
Area actually reporting
Other Cities
Area actually reporting
Total
Rate per 100,000
inhabitants
RHODE ISLAND
Metropolitan Statistical
Area
Area actually reporting
Other Cities
Area actually reporting
Rural
Area actually reporting
Stale Total
Rate per 100,000
inhabitants
See footnotes at end of ubie.
1,869,996
100.0%
652,023
99.7%
100.0%
623,566
100.0%
3,145385
1,946.621
99.7%
100.0%
413,360
99.7%
100.0%
482,340
100.0%
2,842,321
100.0%
100.0%
3322,037
938,920
100.0%
64,544
100.0%
100.0%
1,003,4«4
131,716
33,180
33,265
11,130
176,111
5,598.7
120,646
120,974
26,810
26,889
12,615
160,478
5,646.0
10,075.895
98.9%
373,425
100.0%
376,356
760,003
95.6%
19,847
100.0%
20,761
1,045,745
100.0%
15,901
11,881,643
413,018
3,476.1
112,496
11.875
124J71
3.531.2
50,281
3.422
9
53,712
5.352.7
13.468
2,784
2,792
962
17,222
547.5
12,182
12,198
1,394
1,398
809
14,405
506.8
47,979
48.251
1.953
2.044
918
51,213
431.0
27,655
2.257
29,912
849.3
4.040
294
4J34
431.9
118,248
30,396
30,473
10,168
158,889
5,051.2
108.464
108.776
25,416
25,491
11,806
146,073
5,139.2
325,446
328.105
17.894
18.717
14,983
361,805
3.045.1
84.841
9.618
94,459
2,681.9
46,241
3,128
9
49J78
4,920.8
41
253
8.0
21
108
3.8
749
752
35
801
6.7
554
46
600
17.0
1.180
204
205
94
1,479
47.0
1.001
1.003
160
160
169
M32
46.9
2,684
2,700
167
175
193
3,068
25.8
350
76
426
12.1
230
18
3,507
280
281
48
3,836
121.9
3,761
3,765
270
271
66
4,102
144.3
20,608
20,662
173
181
87
20,930
176.2
20,319
604
20,923
594.1
1.173
51
8.610
2.259
2,265
779
11,654
370.5
7,343
7,353
954
957
553
8,863
311.8
23,938
24,137
1,600
1,674
603
26,414
222.3
6,432
1,531
7,963
226.1
2.590
224
48
4.8
248
24.7
1,224
122.0
2,814
280.4
32,433
8,582
8,604
4,494
45,531
1.447.5
23.526
23.587
4.790
4.804
3.882
32,273
1.135.4
75,985
76,456
3,209
3,357
6.811
86,624
729.1
30,207
4,574
34,781
987.5
12.046
705
4
12,755
1,271.1
69,344
20,059
20,110
4,978
94,432
3,002.0
74,158
74,386
19.297
19,354
7.025
100,765
3,545.2
191,969
193,831
13,719
14,350
6,938
215,119
1.810.5
35.491
4.304
39,795
1,129.9
24,874
2.168
4
27,046
2,695.3
16,471
1,755
1,759
696
18,926
601.7
10,780
10,803
1,329
1,333
899
13,035
458.6
57.492
57,818
966
1.010
1.234
60,062
505.5
19.143
740
19,883
564.5
9.321
255
1
9377
954.4
67
Table 5.— Index of Crime, SUte, 1990— Continued
SOUTH CAROLINA
Metropolitan Statistical
Area
Area actually reporting
Estimated totals
Other Cities
Area actually reporting
Estimated totals
Rural
Area actually reporting
State Total
Rate per 100,000
inhabitants
SOUTH DAKOTA
Metropolitan Statistical
Area
Area actually reporting
Other Cities
Area actually reporting
Estimated totals
Rural
Area actually reporting
Estimated totals
State Total
Rate per 100,000
inhabitants
TENNESSEE
Metropolitan Statistical
Area
Area actually reporting
Estimated totals
Other Cities
Area actually reporting
Estimated totals
Rural
Area actually reporting
Estimated totals
State Total
Rate per 100,000
inhabitants
TEXAS
Metropolitan Statistical
Area
Area actually reporting
Estimated totals
Other Cities
Area actually reporting
Estimated totals
Rural
Area actually reporting
Estimated totals
State Total
Rate per 100,000
inhabitants
UTAH
Metropolitan Statistical
Area
Area actually reporting
Other Cities
Area actually reporting
Estimated totals
Rural
Area actually reporting
Estimated totals
State Total
Rate per 100,000
inhabitants
See footnotes at end of table.
Population
2,114,457
99.9%
100.0%
406,138
99.2%
100.0%
966,108
100.0%
3,486,703
205,152
100.0%
186,952
92.4%
100.0%
303,900
72.1%
100.0%
696,004
3,273,768
88.7%
100.0%
559,556
78.0%
100.0%
1,043,861
51.7%
100.0%
4,877,185
13,864,735
99.9%
100.0%
1,354,995
99.7%
100.0%
1,766,780
99.5%
100.0%
16,986,510
1,335,817
100.0%
196,087
95.2%
100.0%
190,946
90.5%
100.0%
1,722,850
Crime
Index
total
141,613
141,694
33,495
33,756
35,329
210,779
6,045.2
9,123
6,982
7,560
2,571
3,566
20.249
2,909.3
191,209
203,360
20,948
26,869
8,327
16.117
246,346
5,051.0
1,214,738
1,214,877
78,110
78,291
36,126
36,326
1,329,494
7,826.8
84,592
8,330
8,746
3,776
4,174
97,512
5,659.9
Modified
Crime
Index
total'
Violent
crime^
21,715
21,726
6,015
6,062
6,262
34,050
976.6
663
251
272
143
198
1,133
162.8
27,370
28,482
2,013
2,582
844
1,634
32,698
670.4
116,958
116,973
8,621
8,638
3,711
3,732
129,343
761.4
4,334
332
349
189
209
4,892
283.9
Property
crime'
Murder
and non-
ncgligent
man-
slaughter
119,898
119,968
27,480
27,694
29,067
176,729
5,068.7
8,460
6,731
7,288
2,428
3,368
19,116
2,746.5
163.839
174,878
18,935
24,287
7,483
14,483
213,648
4,380.6
1,097,780
1,097,904
69,489
69,653
32,415
32,594
1,200,151
7,065.3
80,258
7,998
8,397
3,587
3,965
92,620
5,376.0
218
127
390
11.2
6
8
14
2.0
390
408
29
37
34
66
511
10.5
2,134
2,134
104
104
150
151
2,389
14.1
43
2
2
6
7
52
3.0
Forcible
rape
1,296
1,297
215
217
359
1,873
53.7
147
46
50
30
42
239
34.3
2,074
2,166
108
139
57
110
2,415
49.5
8,030
8,032
431
431
285
287
8,750
51.5
570
56
59
20
22
651
37.8
Robbery
3,977
3,979
730
736
598
5,313
152.4
62
15
16
6
8
86
12.4
8,683
8,840
277
355
67
130
9,325
191.2
43,267
43,270
802
803
223
224
44,297
260.8
953
13
14
12
13
980
56.9
Aggra-
vated
assault
16,224
16,232
5,025
5,064
5,178
26,474
759.3
448
190
206
101
140
794
16,223
17,068
1,599
2,051
686
1,328
20,447
419.2
63,527
63,537
7,284
7,300
3,053
3,070
73,907
435.1
2,768
261
274
151
167
3,209
186.3
Burglary
30,777
30,792
7,180
7,236
10,104
48,132
1,380.4
1,335
1,152
1,247
785
1,089
3,671
527.4
46,243
49,475
4,683
6.007
3,185
6,164
61,646
1,264.0
280.977
281,010
19.080
19,122
14,301
14,380
314,512
1,851.5
13,015
1,227
1.288
786
869
15,172
880.6
Larceny-
theft
79,368
79,418
18,883
19,030
16,696
115,144
3,302.4
6,806
5,304
5,743
1,535
2.129
14,678
2.108.9
93.667
100.628
12.925
16.578
3,576
6,921
124,127
2.545.1
667,282
667,363
47,452
47,567
16,205
16,294
731,224
4,304.7
63,639
6,475
6.798
2,637
2,915
73,352
4,257.6
Motor
vehicle
theft
9,753
9,758
1,417
1,428
2,267
13,453
385.8
319
275
298
108
150
767
110.2
23,929
24,775
1,327
1,702
722
1,398
27,875
571.5
149,521
149.531
2,957
2,964
1,909
1,920
154,415
909.0
3,604
296
311
164
181
4,096
237.7
68
Table 5.— Index of Crime, State, 1990 — Continued
Population
Cnme
Index
loul
Modified
Cnme
Index
total'
Violent
cnrae^
Property
cnme^
Murder
and non-
negligenl
man-
slaugbter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
VERMONT
Metropolitan Statistical
Area
Area actually reporting
Estimated totals
Other Cities
Area actually reporting
Rural
Area actually reporting
State Total
Rate per 100,000
inhabitants
VIRGINU
Metropolitan Statistical
Area
Area actually reporting
Other Cities
Area actually reporting
Rural
Area actually reporting
Slate Total
Rate per 100,000
inhabitants
WASHINGTON
Metropolitan Statistical
Area
Area actually reporting
Estimated totals
Other Cities
Area actually reporting
Estimated totals
Rural
Area actually reporting
State Total
Rate per 100,000
inhabitants
WEST VIRGINU
Metropolitan Statistical
Area
Area actually reporting
Other Cities
Area actually reporting
Rural
Area actually reporting
State Total
Rate per 100,000
inhabitants
WISCONSIN
Metropolitan Statistical
Area
Area actually reporting
Other Cities
Area actually reporting
Estimated totals
Rural
Area actually reporting
State Total
Rate per 100,000
inhabitants
See footnotes at end of ubie.
107,818
84.7%
6.547
100.0%
7,731
195.952
100.0%
9,310
258,988
100.0%
7,388
562,758
24,429
4,483,134
100.0%
458,224
100.0%
1,246.000
100.0%
6,187,358
652,283
100.0%
296,647
100.0%
844,547
100.0%
1,793,477
3,306.848
100.0%
567,015
99.8%
100.0%
1,017,906
100,0%
4,891.769
4,340.9
235,145
18,751
20,861
274,757
4,440.6
3.978,510
99.4%
260,054
100.0%
261.823
392,417
91.9%
25,057
100.0%
27,256
495,765
100.0%
13.771
4,866,692
302,850
6,222.9
22,594
9.972
12.325
44,891
2,503.0
1 70.972
26,205
26,266
17,762
215,000
4,395.1
120
142
303
271
716
127.2
18,949
1,083
1.662
21,694
350.6
21,735
21,823
1,495
1,627
960
24,410
501.6
1.570
483
983
3,036
169.3
11,242
903
905
801
12,948
264.7
6,427
7,589
9,007
7,117
23,713
4,213.7
216,196
17.668
19.199
253,063
4.090.0
238.319
240.000
23,562
25,629
12,811
278,440
5,721.3
21,024
9,489
11,342
41,855
2,333.7
159,730
25,302
25,361
16,961
202,052
4,130.4
2.3
441
37
67
545
203
204
25
238
4.9
53
102
5.7
192
21
225
4.6
49
51
146
25.9
1.573
108
234
1.915
31.0
34
11.7
7,295
175
156
7,626
123.3
2.641
2.656
6,061
6,084
212
231
161
175
228
3,115
67
6J26
64.0
130.0
197
466
66
110
160
423
104
680
23.6
37.9
859
5,397
80
80
84
84
74
1,013
33
5,514
20.7
112.7
217
204
491
87.2
9,640
763
1.205
11,608
187.6
12,830
12,879
1,114
1,212
640
14,731
302.7
874
291
666
1,831
102.1
4,794
727
729
673
6,196
126.7
1,327
1,567
1,727
2,825
6,119
1,087.3
37,212
2,792
5,232
45,236
731.1
52.096
52.386
4.321
4.700
4,374
61,460
1,262.9
5,454
1.891
4.440
11.785
657.1
27,786
3,167
3,174
5,795
36,755
751.4
4,798
5,665
6,854
3,905
16,424
2,918.5
160,670
14,134
12,760
187,564
3,031.4
166,383
167,660
18,304
19,910
7,651
195,221
4,011.4
14,295
7.153
5.862
27,310
1.522.7
113.449
21,274
21,324
10,151
144,924
2,962.6
302
357
426
387
1,170
207.9
18,314
742
1,207
20,263
327.5
19,840
19.954
937
1,019
786
21,759
447.1
1,275
445
1,040
2,760
153.9
18,495
861
863
1,015
20J73
416.5
69
Table 5.— Index of Crime, State, 1990— Continued
Area
Population
Crime
Index
total
Modtfied
Cnrae
Index
total'
Violent
crime^
Propcny
crime^
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson'
WYOMING
Metropolitan Statistical
Area
134,368
100.0%
198,796
99.9%
100.0%
120,424
100.0%
453,588
6,695
10,024
10,036
2,368
19,099
4,210.6
411
678
679
277
1,367
301.4
6,284
9,346
9.357
2,091
17,732
3,909.3
5
7
7
10
22
4.9
33
66
66
35
134
29.5
34
33
33
5
72
15.9
339
572
573
227
1,139
251.1
1,014
1,342
1,344
504
2,862
631.0
5,034
7,677
7,686
1,474
14,194
3,129.3
236
327
327
113
676
149.0
Area actually reporting
Area actually reporting
Estimated totals
Rural
Area actually reporting
Rate per 100,000
inhabitants
'Although arson data were included in the trend and clearance tables, sufficient data are not available to estimate totals for this offense.
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
'Property crimes are offenses of burglary, larceny-theft, and motor vehicle theft. Data are not included for the property crime of arson.
'Forcible rape figures furnished by the stale-level Uniform Crime Reporting (UCR) Program administered by the Illinois Department of State Police were not in accordance with national UCR
guidelines. The 1990 forcible rape totals for Illinois were estimated using the national rate of forcible rapes when grouped by like agencies. Therefore, only the state total is shown. See "Offense
Estimation," page 3 for details.
'A breakdown of the Bureau of the Census decennial census count for Puerto Rico was not available prior to printing this publication.
70
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990
" Arson IS shown only if 12 months of arson data were received- Leaders (.,) indicate zero data. The Modified Cnmc IndCR total is the sum of the Crime Index
ofTenses, including arson.
Cily by State
Population
Cnme
Index
total
Modified-
Cnmc
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
ALABAMA
Alabaster
AlbeitviUe ....
Alexander City
Anniston
Athens
Auburn
Bessemer ...
Birmingham
Cullman . . .
Daphne . .
Decatur ..
Dothan
Enterprise
Eufaula
Fairfield
Florence
Fort Payne
Gadsden . .
Hartselle . .
Homewood
Hoover
Hueytown . .
Huntsville
Jacksonville
Jasper
Madison
Mobile
Montgomery
Mountain Brook
Northport . .
Opelika . . . .
Ozark
Phenix City
Prattville ...
Prichard
Saraland . .
Scottsboro
Selma
Sheffield . .
Sylacauga .
Talladega
Troy
Tuscaloosa
Tuskegee . .
Vestavia Hills
ALASKA
Anchorage
Fairbanks
Juneau . . .
ARIZONA
Apache Junction
Avondale
Bullhead City ...
Casa Grande ...
14,732
14,507
14,917
26,623
16,901
33,830
33,497
265,968
13,367
11,290
48,761
53,589
20,123
13,220
12,200
36,426
11,838
42,523
10,795
22,922
39,788
15,280
159,789
10,283
13,553
14,904
196,278
187,106
19,810
17,366
22,122
12,922
25,312
19,587
34,311
11,751
13,786
23,755
10,380
12,520
18,175
13,051
77,759
12,257
19.749
226,338
30,843
26,751
18,100
16,169
21,951
19,082
155
196
741
4,199
668
1,802
4,103
29,952
625
494
3,538
6,770
1,042
493
1,770
2,400
603
4,020
387
1,782
1,725
707
14,657
385
931
439
22,379
12,154
415
1,181
2,165
560
2,236
1,295
1,910
548
751
2,876
389
685
1,127
543
7,915
1,584
364
13,007
2,192
1,008
1,071
1,515
1,988
2,290
30,199
22,408
12,200
13,081
2,194
1,013
1,081
1,516
1,994
2,309
2
16
125
9
24
267
4
146
102
15
203
29
7
4
10
119
9
25
205
1,799
2
11
84
95
13
9
110
38
6
85
5
58
53
25
293
9
16
842
435
6
24
41
10
62
30
76
6
4
89
2
12
13
13
199
51
10
350
28
21
9
98
694
40
70
432
2,002
30
16
115
860
106
68
147
239
24
557
13
64
21
77
495
39
62
25
4,869
396
3
64
230
53
285
198
361
47
60
506
5
69
128
67
828
186
767
131
22
55
63
90
222
35
35
166
1,066
124
374
1,044
6,958
138
77
863
1,245
226
65
350
507
116
888
75
282
284
125
2,181
79
140
64
4,580
2,779
69
185
408
95
446
266
562
101
73
606
105
91
237
151
1,394
667
84
2,060
266
112
211
508
448
462
80
132
444
2,063
477
1,293
1,989
13,728
416
375
2,287
4,322
639
331
905
1,506
415
2,230
270
1,217
1,167
423
10,889
238
622
327
10,741
7,697
305
886
1,420
373
1,279
748
744
375
571
1,556
260
497
677
286
5,025
600
245
8.083
1,483
790
691
672
1,253
1,461
9
9
14
219
18
29
393
5,073
35
15
170
200
49
16
249
98
41
231
22
155
188
50
698
16
82
22
1,160
711
32
19
50
24
142
43
141
18
36
97
9
16
54
24
399
67
16
1.534
251
74
97
238
172
98
71
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued
City by State
Population
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
ARIZONA— Continued
Chandler
E>ouglas
FlagslafT
Gilbert
Glendale
Kingman
Lake Havasu
Mesa
Nogales
Paradise Valley
Peoria
Phoenix
Prescott
Scottsdale
Sierra Vista
Tempe
Tucson
ARKANSAS
Arkadclphia
Benton
Bentonville
Blytheville
Camden
Conway
El Dorado
Fayetteville
Forrest City
Fort Smith
Jacksonville
Jonesboro
Little Rock
Magnolia
North Little Rock
Paragould
Pine Bluff
Rogers
Russellville
Searcy
Sherwood
Springdale
Stuttgart
Texarkana
Van Buren
West Memphis
CAUFORNLV
Agoura Hills
Alameda
Albany
Alhambra
Anaheim
Antioch
Apple Valley
Arcadia
Areata
90,533
12,822
45,857
29,188
148,134
12,722
24,363
288,091
19,489
11,671
50,618
983,403
26,455
130,069
32,983
141,865
405,390
10,014
18,177
11,257
22,906
14,380
26,481
23,146
42,099
13,364
72,798
29,101
46,535
175,795
11,151
61,741
18,540
57,140
24,692
21,260
15,180
18,893
29,941
10,420
22,631
14,979
28,259
20,390
76,459
16,327
82,106
266,406
62,195
46,079
48,290
15,197
7,010
1,268
3,768
1,713
13,617
1,910
1,299
20,415
1,227
400
2,389
105,779
1,665
7,728
1,315
13,454
48,158
99
1,049
468
2,607
1,002
1,815
1,447
2,680
1,708
6,043
2,059
3,191
26,162
165
7,110
787
5,464
882
1,272
714
624
1,553
772
3,238
736
2,677
610
3,989
758
4,605
19,096
4,314
2,363
2,519
774
7,061
1,270
3,776
1,713
13,736
1,913
1,305
20,551
1,231
400
2,399
106,277
1,682
7,772
1,324
13,511
48,414
99
1,055
468
2,632
1,010
1,818
1,447
2,684
1,723
6,086
2,067
3,230
26,379
165
7,132
792
5,515
882
1,276
722
624
1,555
774
3,261
736
2,680
613
4,023
760
4,653
19,182
4,454
2,376
2,531
778
I
128
I
95
1
1
7
512
7
21
9
69
290
17
13
16
10
23
6
47
17
19
254
3
77
9
82
5
5
3
4
6
4
17
2
53
77
7
56
6
212
II
3
275
15
3
17
3,383
12
116
8
276
902
1
61
13
15
52
21
21
68
23
52
1,118
I
261
4
214
2
5
4
5
8
13
114
5
164
9
134
44
316
975
97
44
106
6
190
40
156
100
766
52
66
1,345
26
6
208
6.642
116
143
14
397
2,458
10
86
3
286
211
12
74
96
166
423
144
114
2.206
I
609
93
663
42
52
15
25
36
40
228
9
170
66
323
69
244
713
494
280
86
21
1,420
230
570
449
3,263
377
226
3,884
369
228
653
24,682
237
1,512
181
2,021
7,909
14
283
83
614
183
336
353
510
269
1,109
293
970
6,033
99
1,315
130
1,552
179
309
81
74
292
150
508
201
686
195
591
127
960
4,217
776
806
672
128
4,631
841
2,834
1,021
7,618
1,384
912
12.306
644
141
1,323
52,912
1,239
5,335
1,044
8,996
34,101
65
588
373
1,531
538
1,347
869
1,851
1,204
3,978
1,495
1,841
14,681
56
4,389
509
2,610
598
858
564
479
1,122
529
2,259
471
1,339
256
2,623
403
2,214
9,761
2,583
985
1,317
584
669
147
130
131
1,660
80
84
2,501
171
21
180
17,520
53
601
59
1.692
2.468
73
8
92
44
88
87
174
39
412
87
193
1,837
5
435
41
331
55
43
47
36
89
35
110
48
254
84
294
111
846
3,316
340
236
328
24
72
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued
Cily by Suie
Population
Cnmc
Index
loul
Modified*
Cnme
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
CALIFORNIA— Con till ued
Arroyo Grande
Artesia
Atascadero
Alwater
Auburn
Azusa
Bakersfleld . . .
Baldwin Park
Banning
Barstow
BeU
Bell Gardens
Bellflower ...
Belmont
Benicia
Berkeley
Beverly Hills
Brawley
Brea
Buena Park .
Burbank
Burlingame
Calexico
Campbell .
Capilola
Carlsbad
Carpinteria . . .
Carson
Cathedral City
Ceres
Cerritos
Chico
Chino
Chula VisU
Claremont
Qearlake . . .
Oovis
Coachella . .
Colton
Commerce .
Compton
Concord
Corcoran .
Corona . . .
Coronado
Costa Mesa
Covina
Cudahy
Culver City
Cupertino . .
Cypress
Daly City ..
Dana Point
Danville . . .
Davis
Delano
Desert Hot Sprinp
14,378
15,464
23,138
22,282
10,592
41,333
174,820
69,330
20,570
21,472
34,365
42,355
61,815
24,127
24,437
102,724
31,971
18,923
32,873
68,784
93,643
26,801
18,633
36,048
10,171
63,126
13,747
83,995
30,085
26,314
53,340
40,079
59,682
135,163
32,503
11,804
50,323
16,896
40,213
12,135
90,454
111,348
13,364
76,095
26,540
96,357
43,207
22,817
38,793
40,263
42,655
92,311
31,896
31,306
46,209
22,762
11,668
603
782
918
1,136
533
2,324
14,091
3,350
1,841
1,675
1,381
2,099
4,077
645
947
12,673
2,247
1,514
1,887
4,415
4,107
1,413
1,779
1,824
1,173
3,710
495
4,676
1,760
1,944
3,627
3,076
3,251
10,024
1,504
908
3,348
982
3,641
2,560
7,556
6,995
530
6,004
962
8,736
2,635
949
2,787
1,701
2,248
3,286
1,247
685
2,723
2,038
1.086
603
786
923
1,140
534
2,353
14,201
3,389
1,849
1,687
1,388
2,105
4,097
645
954
12,757
2,251
1,526
1,904
4,435
4,310
1,420
1,921
1,839
1,175
3,724
497
4,728
1,761
1,956
3,639
3,129
3,335
10,050
1,511
912
3,361
986
3,657
2,580
7,585
7,022
532
6,031
978
8,757
2,646
952
2,787
1,732
2,277
3,296
1,260
689
2,743
2,040
1,089
18
3
27
4
30
4
9
6
40
20
43
10
7
24
5
15
6
115
37
6
10
6
32
13
lis
525
290
39
55
140
205
290
15
II
618
205
47
44
213
189
29
29
29
15
96
10
323
30
25
160
39
94
313
69
11
49
26
151
109
1,227
166
5
166
13
170
129
100
260
16
50
129
30
10
15
74
19
48
172
75
106
25
111
1,080
329
182
91
132
244
650
26
30
881
72
120
39
148
231
42
66
143
55
256
31
805
216
152
262
152
237
850
47
71
150
97
249
220
1,719
377
96
442
53
572
134
251
55
64
94
224
124
10
37
112
160
108
152
222
318
73
606
3,357
1,460
603
335
370
596
722
86
189
2,262
375
506
290
937
699
210
262
265
108
720
118
824
526
434
689
610
787
1,651
396
260
678
232
922
416
1,570
1,174
151
1,388
149
1,497
561
131
441
275
445
288
337
111
424
419
286
418
230
561
632
393
1,139
7.792
460
856
1,030
358
700
1,464
468
594
7,564
1,352
748
1,303
2,091
1,955
952
1,112
1,203
946
1,917
305
1,658
791
1,191
1,754
2,005
1,652
4,665
811
496
2,143
542
1,649
1,095
1,573
4,678
228
2,951
595
5,452
1,348
268
1,506
1,263
1,386
2,032
658
526
2,072
1,201
480
18
142
43
65
35
339
1,247
787
148
151
364
339
913
47
120
1,289
234
85
202
996
1,010
166
310
166
45
690
27
1,030
190
133
754
227
457
2,495
169
61
304
78
645
713
1,274
560
42
1,043
146
1,007
448
186
519
75
267
603
87
20
163
221
132
73
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Papulation, 1990 — Continued
City by State
Population
Cnmc
Index
total
Modified*
Cnme
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robtwry
Aggra-
vated
assault
Burglary
Larceny-
tlieft
Motor
vehicle
theft
Arson*
CALIFORNIA— Continued
53,672
12,743
10,401
91,444
20,688
23,229
23,451
88,693
31,384
22,869
106.209
15.223
108,635
27,025
77,211
29,802
87,535
28,176
53,691
173,339
354,202
114,144
49,847
143,050
31,487
180,038
47,828
10,946
11.656
30.897
13,639
71,349
111,498
36,094
16,829
18,219
50,418
34,439
10,667
19,212
181,519
56,065
36,793
109,602
1 10,330
19,378
23,501
23,170
44.400
51.266
73,557
52,931
40,452
97,291
15,392
36,955
11,215
1,863
622
462
4,646
899
652
1.416
5.757
2,822
1,939
6,582
1.183
9.204
2,401
6,019
738
7,116
896
2,878
6,378
37,296
8,257
3,902
10,403
1,901
8,785
1,728
574
428
1,633
1,259
6,769
7,155
3,507
321
1,067
2,219
2,207
124
1,314
9,216
5,254
2,952
8,675
5,025
486
553
1,347
788
2,443
4,117
3,672
1,455
5,086
580
2,409
771
1,872
623
465
4,679
902
654
1,430
5,781
2,840
1,942
6,641
1,188
9,251
2,415
6,056
740
7,165
909
2,895
6.543
37,594
8,286
3,941
10,461
1,957
8.831
1.735
578
438
1,647
1,281
6,862
7,216
3,531
328
1,067
2,223
2,212
125
1,332
9,270
5,282
2,969
8,796
5,097
493
556
1,352
807
2,456
4,134
3,679
1,463
5,131
583
2.434
773
4
5
2
2
21
2
5
9
35
15
5
47
5
44
23
38
2
66
3
11
32
258
52
23
40
11
37
13
5
4
14
8
46
30
14
1
2
11
12
80
12
291
59
8
193
169
71
113
578
36
246
55
136
13
307
2
62
132
1.592
291
609
413
34
392
49
13
7
36
121
770
279
71
9
29
64
121
2
25
197
476
128
1.488
55
19
13
27
9
69
269
100
65
160
21
242
164
103
19
215
108
33
250
407
140
65
683
50
644
101
567
51
619
93
79
596
2.483
401
328
543
229
332
135
68
41
137
222
632
521
347
22
71
143
188
7
206
539
563
187
954
77
47
14
83
53
100
381
172
133
860
34
584
78
454
126
84
1.056
254
76
241
1,192
815
28»
1,824
242
1,845
477
842
210
1,781
110
503
1,443
7,137
1,600
886
1.993
429
1.916
409
176
156
318
284
1.356
1,310
755
88
341
654
727
24
281
1,902
725
725
1,866
1,110
145
112
317
243
539
530
716
348
1,118
119
465
378
739
321
336
1,967
359
465
382
2,928
1,597
1,108
2,202
693
4,980
1,613
3,962
416
3,227
638
1,837
3,606
18,623
4,601
1,302
5,581
1,083
4,549
946
221
203
1,009
465
2,616
4,195
1,936
134
497
1,076
867
90
745
5,386
1,381
1,610
2,328
3,341
225
380
808
428
1,389
1.915
1.888
600
2,177
281
644
272
417
58
20
1,095
117
65
319
1,024
183
360
1,239
155
1.441
132
472
46
1,105
49
386
567
7,137
1,306
744
1,817
114
1,556
175
91
17
119
155
1.339
816
384
67
127
270
285
I
52
1,130
2,075
282
1,881
426
49
32
103
50
336
1,009
782
286
715
123
446
36
9
1
1
1
3
33
Duarte
3
Dublin
2
East Palo Alto
22
2
1
14
24
El Centre
18
3
9
2
4
59
5
47
Eureka
14
Fairfield
2
37
2
11
1
49
13
17
Fremont
2
66
6
10
16
1
3
165
Fresno
298
29
39
58
56
Glendale
46
7
4
10
14
4
10
4
22
93
Hayward
61
Hemet .
24
7
1
7
4
Highland
5
1
HoUister
5
57
22
15
103
16
18
5
12
5
55
54
Huntington Park
28
Indio
17
121
72
La Canada-Flintridge
1
7
Lafayette
2
9
3
9
12
13
20
52
2
16
6
3
5
Laguena Niguel
2
1
1
3
4
19
La Habra
13
17
La Mesa
7
8
45
La Palma
3
12
25
2
74
Table 6.— Number of Oflenses Known to the Police, Cities and Towns 10,000 and over in Popniation, 1990 — Continaed
City by Stale
Population
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robt>er>
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Anon*
CAUFORNU— Continued
La Veme
30,897
27,331
13,622
56,741
51,874
17,400
19,382
37,649
429,433
11,676
26,303
3,485,398
14,519
27,357
61,945
29,281
32.063
40.773
26.436
31,808
12,324
27,850
28,040
56,216
20,412
13,038
50,686
72,820
164,730
35,761
28,434
59,564
31,954
60.738
15.852
118,779
23,928
67,460
61,842
54,249
37.861
66.643
94.279
47.585
11,961
372,242
128,398
133,179
110,658
16,642
11,960
142.216
37.670
16.117
40.181
55,900
1,241
1,876
536
2,648
3,666
966
739
1,958
41.106
604
513
321.536
920
993
4,161
1.663
1,943
2,983
939
1,282
1,295
1,108
1,429
3,583
773
410
2,366
2,018
10,878
2,419
3,420
4,282
2,195
3,301
214
8,328
1,177
3,694
3,469
5.127
2.300
4,537
4,689
1,339
707
40,595
9,046
10.640
7.283
292
1,227
8,464
963
627
4,114
3,097
1,247
1,889
539
2,659
3,673
969
742
1,976
41,272
613
521
326,919
925
1,017
4,218
1,665
1,955
3,000
951
1,283
1,307
1,124
1,439
3,626
775
413
2,375
2,060
10,937
2,435
3,426
4.290
2.204
3.304
215
8,359
1,185
3,727
3,501
5,145
2.316
4.554
4.720
1.351
714
40.909
9,074
10,722
7,385
297
1,228
8,489
972
634
4,203
3,111
1
7
8
9
9
16
20
8
6
25
298
2
3
2,014
7
3
49
5
5
12
9
8
5
8
7
22
4
3
21
6
65
18
18
26
17
11
32
180
3
35
59
36
39
34
4.193
14
6
36.098
7
13
600
76
60
32
12
23
31
92
67
86
25
7
61
23
260
164
229
260
36
339
81
369
13
244
179
87
78
134
3,806
31
33
44,714
123
47
986
120
66
119
44
58
112
146
88
158
33
15
96
116
723
235
174
600
131
223
11
1,072
70
196
183
401
155
207
970
97
21
1,952
993
942
302
4
79
793
62
47
440
74
261
439
136
567
522
310
173
343
8,661
154
133
51,482
150
209
889
481
517
560
206
313
196
214
239
790
109
91
379
535
2,096
527
570
843
422
830
56
1,989
364
425
588
869
267
1,187
965
249
139
8,500
1,889
2,341
1.360
56
342
1.599
201
181
1,196
362
703
532
334
1,608
2,566
352
321
1,334
16,905
326
312
122,632
605
672
836
749
1,091
1,988
625
711
859
388
914
2,294
511
274
1,549
1,191
6,776
1,224
1,788
1,652
1.506
1.161
142
3,802
654
2,635
2,481
2,171
1,639
2,644
1.518
885
481
19.077
4.238
4.982
4.487
209
649
4,684
581
378
1,794
2,357
155
340
41
176
318
173
120
87
7,137
76
26
63,613
27
48
778
227
204
271
42
168
85
256
113
229
91
20
260
147
950
247
639
896
82
737
5
1,169
55
335
162
1,345
188
408
918
77
54
7,173
1,457
1,616
910
20
123
976
90
17
533
222
6
13
3
Livcrmore
2
2
11
Lodi
7
3
2
106
1
3
18
Long Beach
166
9
Los AJtos
8
983
1
1
23
5
5,383
5
Los Gales
24
57
Madera
2
12
1
1
1
7
4
4
17
12
1
Marysville
12
16
10
Merced
43
2
Mill Valley
3
9
42
8
4
2
5
1
59
16
Montclair
6
Montebello
8
9
3
1
Moreno Valley
6
44
15
18
15
29
6
25
41
11
1
517
95
71
26
246
19
81
39
306
40
64
266
20
10
3,230
363
669
193
3
23
340
24
2
130
66
31
8
4
1
6
5
2
11
33
^Japa
32
18
Newark
16
17
Norwalk
31
12
Oakdale
1
146
11
19
5
7
Oakland
314
28
Ontario
82
Orange
102
5
Oroville
2
6
9
66
5
2
16
16
1
Oxnard
25
9
7
5
89
Palo Alto
14
75
Table 6.— Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued
City by Stale
Population
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non*
negligent
man>
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson*
CALIFORNU— Continued
13,512
68,842
25,408
47,669
131,591
16,536
21,460
43,184
59,177
10,602
17,460
47,564
41,259
31,585
50,553
131,723
29,563
20,319
101,409
41,659
12,363
66,462
60,394
60,167
66,072
15,791
72,388
87,425
27,725
226,505
19,033
36,326
51,638
44,685
369,365
108,777
11,743
38,961
26,167
41,100
1,110,549
32,397
22,580
723,959
265
3.907
595
3,597
9.642
973
2,379
1,616
3,130
344
1,084
2,997
1,524
2,012
1,746
9,486
2,165
807
4,431
702
986
4,374
3,177
3,841
3,530
1,100
4,598
9,898
1,171
19,975
610
1,609
3,001
2,836
33,710
8,089
363
1,978
760
1,448
101,564
1,359
1,174
69,950
5
238
2,116
678
1,247
38,090
1,214
4,107
1,963
337
4,113
3,117
2,784
267
3,941
599
3,635
9,783
976
2,386
1,639
3,154
346
1,098
3,030
1,557
2,020
1,765
9,864
2,165
812
4,455
709
987
4,385
3,195
3,852
3,542
1,100
4,633
10,026
1,196
20.267
616
1,622
3,027
2.844
33.910
8,137
370
1.987
761
1.469
101,855
1,370
1,175
70,370
238
2,132
693
1.253
38.546
1,226
4,122
1,969
337
4,129
3,147
2.802
3
33
7
19
53
24
14
9
14
7
129
4
269
790
13
116
26
235
7
51
130
62
39
18
1.031
35
39
126
22
7
94
120
149
HI
11
322
824
11
1.098
7
18
235
39
1,790
262
1
59
10
37
4,331
39
80
7,053
15
683
36
765
879
106
118
101
840
6
76
296
132
76
43
1,243
131
51
226
74
171
232
222
217
397
102
276
1,648
157
1.845
29
74
481
169
1,934
779
19
46
38
51
7,142
176
141
4,815
55
266
53
194
3,213
71
184
94
9
257
322
134
80
869
162
668
1,626
239
674
293
604
60
271
1,043
391
384
265
2,034
549
278
1,094
194
134
994
703
848
570
172
1,246
1,891
256
4,703
175
567
724
546
6.966
1,419
87
210
135
415
16,691
322
205
10,618
147
1,512
343
987
4,890
521
1,009
1,093
918
235
519
1,220
747
1,375
1.275
3.460
1,216
389
2,289
337
620
2,670
1,550
2,020
2,123
748
1,942
3,866
666
8,706
351
833
1,039
1,804
16,219
4.975
243
1,476
533
744
48,581
616
421
35,583
1
123
868
360
600
23,435
743
2,407
1,324
212
3,058
1^437
1,907
13
677
43
873
1.391
69
440
94
514
36
160
272
183
133
135
1.613
211
43
654
69
43
331
563
587
309
60
783
1,509
72
3,481
42
106
508
268
6.547
593
13
184
39
192
24.245
196
314
11.361
3
6
279
96
90
4,205
85
528
117
17
293
509
224
2
4
34
4
16
13
1
8
38
141
3
Perris
7
23
Pico Rivera
5
24
2
7
33
8
5
8
71
21
6
36
6
11
50
18
18
18
6
20
124
9
120
4
11
9
9
211
50
14
Pittsburg
3
1
33
33
8
Pleasanton
2
34
2
1
6
19
378
5
24
7
Red Bluff
1
3
2
2
1
9
36
11
Redlands
18
11
Redwood City
12
Reedley
35
128
25
Riverside
22
2
292
Rocklin
6
13
5
1
43
11
26
Roseville
8
Sacramento
200
Salinas
48
7
San Bruno
1
1
1
135
2
3
101
2
4
8
439
8
10
419
9
1
San Clemente
21
San Diego
291
11
San Fernando ...
1
San Francisco
420
3
16
5
6
416
4
12
23
19
98
13
16
1.034
23
175
23
16
89
261
72
32
586
150
340
5,752
288
800
381
82
392
562
433
37,120
16,839
16,210
782,248
26,183
68.223
41.958
12,959
85,486
25,158
48,404
3
1
1
35
16
Sanger
15
6
San Jose
456
San Juan Capistrano
12
1
1
1
1
8
1
15
San Luis Obispo
6
23
18
13
16
San Pablo
San Rafael
30
18
76
Table 6. — Number of Ofienses Known to the Police, Cities and Towns 10,000 and over in Popniation, 1990 — Continued
City by Suie
Population
Cnmc
Index
tolsl
ModiHcd*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
LArceoy-
theft
Motor
vehicle
theft
CAUFORNU— Continiied
San Ramon
Santa Ana
Santa Barbara
Santa Clara
Sanu Clarila
Santa Cniz
Santa Fe Springs
Santa Maria
Santa Monica
Santa Paula
Santa Rosa
Saratoga
Seal Beach
Seaside
Selma
Sierra Madre
Simi Valley
South El Monte
South Gate
South Lake Tahoe
South Pasadena
South San Francisco
Stanton
Stockton
Suistin City
Sunnyvale
Temple City
Thousand Oaks
Torrance
Tracy
Tulare
Ttirlock
Tustin
Twenty-Nine Palms
Twin Cities
Ukiah
Union City
Upland
Vacaville
Vallejo
Ventura
Victorville
Visalia
Walnut
Walnut Creek
Watsonville
West Covina
West Hollywood
Westminster
West Sacramento
Whittier
W<x>dland
Yorba Linda
Yuba City
35,303
293,742
85,571
93,613
1 10.642
49,040
15,520
61,284
86,905
25.062
113,313
28.061
25.098
38,901
14,757
10,762
100,217
20,850
86,284
21,586
23,936
54,312
30,491
210,943
22,686
117,229
31,100
104,352
133.107
33.558
33,249
42.198
50,689
11,821
11,070
14,599
53.762
63,374
71,479
109,199
91,253
40,674
75,636
29,105
60.569
31.099
96.086
36,118
78,118
28,898
77,671
39,802
52,422
27,437
988
22,291
5,091
5,495
3,955
4,567
2,324
4.370
9,379
1,389
6,634
444
830
1.624
1.079
204
3.148
1.483
4.788
1,666
1,012
2,574
3,143
24,265
1.119
3.951
1,039
3,116
7,732
1,652
1.497
3,510
3.638
812
797
971
2,435
3,919
2,624
8.515
4.974
4.898
5.379
946
2.754
2.782
7,121
4.045
5,881
2.256
3,530
2,092
1,160
2,260
991
22,655
5,099
5.525
4.010
4.606
2.333
4,380
9,514
1,394
6,672
454
836
1,638
1.083
205
3.174
1.497
4,818
1,691
1,022
2,596
3,201
24,383
1,126
3,982
1,051
3.I7I
7,873
1.670
1.573
3,617
3,691
823
800
973
2,463
3,953
2,641
8,590
5,020
4,922
5,398
953
2.780
2.795
7.224
4,083
5.893
2,264
3,543
2,127
1,188
2,273
16
13
32
17
7
16
6
168
8
40
3
17
31
5
21
17
8
14
2
13
23
23
26
52
49
23
19
2
6
9
18
24
14
22
29
17
5
21
9
1,553
130
76
74
102
110
92
614
31
155
3
33
81
21
2
58
85
472
43
72
75
128
1,305
33
80
52
60
393
32
80
66
79
18
11
13
82
129
48
448
129
172
128
29
35
82
276
362
205
67
134
22
17
32
13
994
465
283
627
207
206
249
587
109
398
28
12
263
95
2
196
212
286
112
38
137
245
1,103
65
135
79
129
437
156
118
215
69
52
13
36
179
262
169
994
182
1,002
405
100
135
171
428
352
185
96
265
151
53
121
164
3,574
1,087
723
798
910
429
874
1.482
338
1,362
159
234
228
20
76
835
380
1,083
516
266
327
707
5,070
284
499
279
935
1.479
308
470
1,023
780
288
162
246
486
932
403
1,500
1,162
850
996
314
463
492
1,275
1,201
1,185
633
686
425
273
509
734
12,136
3,030
3.930
1.906
2.883
1.083
2,923
5,078
839
4,119
239
445
902
798
106
1,655
476
1,444
903
455
1,645
1,745
13,037
652
2,783
490
1,696
3,957
1,031
583
1,977
2.301
376
569
617
1,483
2,003
1,753
4.295
3,085
2,240
3,494
369
1.965
1.858
3.513
1.354
3.171
1.191
1,904
1,296
680
1,419
60
3,918
348
442
529
433
486
194
1,541
70
537
14
96
127
135
18
387
314
1,462
75
174
373
309
3,531
76
412
133
277
1,433
118
221
211
395
63
40
45
182
564
225
1,218
366
609
330
129
150
164
1,603
749
1,117
241
506
180
129
154
77
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued
City by State
Population
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson"
COLORADO
89,145
222,103
83,312
14,203
24,638
12,687
281,140
16,466
467,610
12,430
29,387
87,758
13,116
29,034
60,536
14,548
126,481
33,685
51,555
12,361
37,352
27,195
98,640
10,362
55,031
74,774
29,419
18,403
13,937
16,787
17,541
19,483
27,603
141,686
60,640
14,113
25,684
12,767
10,063
12,286
55,585
18,196
12,199
10,428
50,452
26,144
10,081
45,532
53,418
20.608
27,901
58,441
35,307
19,848
52.434
3,742
17,834
6,041
1,181
1,225
790
21,017
1,902
36,269
1,012
3,483
4,796
718
2,609
4,819
577
8,484
1,515
2,974
422
1,550
2,167
7,797
485
3,672
5,006
1,941
678
308
370
261
994
628
17,784
2,257
319
524
295
227
459
3,352
514
563
234
2,941
1,022
335
2,095
2,373
1.001
630
1.719
1.480
569
2,884
3,769
17,933
6,065
1,200
1,251
798
21,129
1,907
36,706
1,014
3,511
4,837
728
2,631
4,867
583
8,548
1,536
2,980
426
1,563
2,178
7,844
488
3,688
5,032
1,955
680
310
371
261
997
630
17,944
2.271
319
528
300
229
460
3,357
515
564
235
2.956
1.022
337
2,116
2,374
1,001
630
1,728
1,484
570
1 2,885
1
8
1
17
170
19
8
5
2
201
6
375
25
397
32
4
6
4
258
24
1,312
5
53
21
1
29
39
125
23
26
2
5
27
140
4
35
40
41
38
1
4
2
21
9
1,770
44
1
5
4
7
60
5
16
347
2,616
131
74
63
24
716
94
2,451
47
215
302
60
89
173
24
416
46
136
25
99
76
1,485
10
158
203
117
35
4
5
3
51
7
982
119
4
2
658
3,018
966
287
213
113
4,064
348
9,339
92
483
766
104
345
981
115
1,449
264
541
92
235
310
1.683
55
623
905
337
116
70
103
52
172
72
4.628
686
64
122
86
40
75
613
123
153
49
604
194
65
387
499
149
120
302
229
157
383
2,511
10,501
4,660
741
889
623
14,614
1,312
16,792
851
2,458
3,492
520
2,010
3,415
424
5,910
1,079
2,152
287
1,142
1,621
4,040
398
2.610
3,526
1,333
423
212
226
180
637
453
5,403
1,235
233
358
190
157
323
2,267
331
297
142
1,748
615
209
1,404
1,440
741
469
1,222
1,114
387
1,871
183
1,124
232
67
48
24
1,155
118
5,933
17
254
157
31
118
183
11
537
96
97
13
53
122
341
17
216
317
102
65
19
32
19
107
86
4,865
161
15
37
15
13
45
310
52
76
20
369
156
37
231
368
90
30
156
52
22
527
27
99
24
19
1
26
8
9
112
5
67
437
2
1
2
1
19
56
2
17
27
2
44
7
22
3
IS
11
102
29
14
10
1
2
28
Fort Collins
41
Golden
10
Grand Junction
22
Greeley
48
6
Lakewood
3
64
21
6
4
Loveland
1
13
11
Pueblo
6
47
3
1
16
Westminster
26
Wheat Ridge
14
CONNECTICUT
2
2
Berlin
1
Bethel
1
4
6
1
79
12
2
3
2
Bridgeport
57
160
14
Cheshire
4
Clinton
5
Coventry
16
7
88
2
18
23
111
30
14
34
21
10
6
14
50
2
20
2
2
14
1
3
1
5
Darien
1
Derby
1
1
East Hartford
1
16
92
27
8
32
43
5
2
24
19
65
15
2
6
1
6
3
16
2
Enfield
1
21
Fairfield
1
Glastonbury
9
Groton Town
4
Guiirord
1
Hamden
18
1
78
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued
Cily by Slate
PopulatioD
Crime
Index
loUl
Modified"
Cnme
Index
loul
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
then
Motor
vehicle
theft
CONNECTICUT— Continued
Hartford
Madison Town
Manchester
Meriden
Middletown
Milford
Monroe
Naugatuck
New Britain
New Canaan
New Haven
Newington
New London
New Milford
Newtown
North Branford
North Haven
Norwalk
Norwich
Orange
Plainfield
Plainville
Plymouth
Ridgefield Town
Rocky HiU
Seymour
Shelton
Simsbury
Southington
South Windsor
Stamford
Stonington
Stratford
SufTield
Torrington
Trumbull
Vernon
Wallingford
Waterbury
Waterford
Watertown
West Hartford
West Haven
Westport
Wethersfield
WiUimantic
Wilton
Windsor
Windsor Locks
Wolcott
DELAWARE
Dover
Newark
Wilmington
139,739
15,485
51,618
59,479
42,762
49,938
16,896
30,625
75,491
17,864
130,474
29,208
28,540
23,629
20,779
12,996
22,247
78,331
37,391
12,830
14,363
17,392
11,822
20,919
16,554
14,288
35,418
22,023
38,518
22,090
108,056
16,919
49,389
11,427
33,687
32,016
29,841
40,822
108,961
17,930
20,456
60,110
54,021
24,410
25,651
15,247
15,989
27.817
12,358
13.700
27,630
25.098
71,529
21.528
421
2,280
3.142
2,410
2,649
285
933
5,280
354
21,012
1,013
2,561
466
345
240
906
6.224
1,574
881
265
586
392
216
542
347
717
327
1,209
417
6.625
600
1,950
182
1,393
1.291
871
1,505
10,066
796
629
2,682
3,255
1,000
785
1,003
208
933
435
384
2,325
1.498
8,046
21,724
424
2.281
3.189
2,426
2,659
287
943
5.318
354
21,090
1.013
2.572
471
346
241
907
6.231
1.586
884
268
591
393
217
543
351
717
329
1.209
417
6,671
603
1,970
184
1,403
1,292
877
1,523
10.080
805
632
2,697
3.269
1.006
787
1.004
208
933
437
386
2,337
1.512
8,089
19
160
2
15
13
12
9
1
10
36
168
17
1,727
4
43
64
47
42
3
4
235
1
1,784
14
83
5
2
2
17
208
30
20
1
5
2
11
5
7
3
7
5
237
3
89
11
11
18
10
272
18
5
70
81
12
15
20
30
12
107
58
18
547
2.201
9
16
90
133
26
12
27
186
5
2,008
13
179
10
7
7
22
167
90
11
9
4
5
12
II
60
19
8
42
7
273
1
24
5
43
9
44
26
347
31
3
51
114
30
43
19
95
83
581
5,281
151
457
706
346
413
62
189
1,121
107
4,476
39
576
84
128
60
153
1,648
381
108
67
117
141
69
93
74
164
55
350
90
1,512
179
427
55
225
147
170
303
2.595
59
122
619
683
254
121
245
51
201
55
116
272
193
1,509
9,244
235
1,649
1,981
1,643
1,706
185
602
3,226
215
9,086
871
1,487
315
175
149
604
3.312
984
661
155
406
208
123
367
166
380
230
712
279
3,586
400
851
93
1,001
961
588
990
5,234
633
452
1,701
1,876
608
530
673
141
595
298
240
1,737
1.090
4,355
2,896
20
99
286
229
452
22
101
470
25
3,459
76
218
52
33
22
108
873
86
80
32
49
33
12
56
40
144
25
88
34
989
17
551
25
96
161
48
173
1,581
54
44
237
484
95
74
45
16
90
61
24
130
102
940
79
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued
City by State
Population
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negiigent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
DISTRICT OF COLUMBIA
Washington
FLORIDA
Altamonte Springs
Apopka
Boynton Beach
Bradenton
Callaway
Cape Coral
Cocoa Beach
Cooper City
Coral Gables
Coral Springs
Dania
Daytona Beach
Deerfleld Beach
De Land
Fort Lauderdale
Fort Pierce
Gulfporl
Hallandale
Hialeab
Hollywood
Jacksonville
Key West
Kissimmee
Lake City
Lauderdale Lakes
LauderhiU
Melbourne
Miami
Miami Shores
Miramar
New Smyrna Beach
North Lauderdale
North Miami
North Palm Beach
North Port
Oakland Park
Ocala
Ocoee
Orlando
Ormond Beach
Palatka
Palm Bay
Palm Beach Gardens
Panama City
Plantation
Pompano Beach
Port St. Lucie
Riviera Beach
Safely Harbor
St. Augustine
St. Petersburg
Sarasota
Sebastian
South Miami
606,900
34,879
13,512
46,194
43,779
12,253
74,991
12,123
20,791
40,091
79,443
13,024
61,921
46,325
16,491
149,377
36,830
11,727
30,996
188,004
121,697
636,680
24,832
30,050
10,005
27,341
49,708
59,646
358,548
10,084
40,663
16,543
26,506
49,998
11,343
11,973
26,326
42,045
12,778
164,693
29,721
10,201
62,632
22,965
34,378
66,692
72,411
55,866
27,639
15,124
11,692
238,629
50,961
10,205
10,404
65,389
3,547
1,643
4,888
4,704
551
3,849
1,333
679
5,415
3,055
2,092
10,421
4,052
2,666
25,566
5,346
906
2,659
18,234
12,822
66,618
5,825
3,848
1,657
2,880
3,798
6,990
68,209
1,158
2,098
1,297
1,564
6,402
511
450
4,157
7,733
684
23,750
1,185
1,827
4,097
2,133
3,264
6,127
10,194
2,538
6,299
771
1,832
29,325
7,869
440
1,307
65,639
3,554
1,649
4,894
4,714
553
3,860
1,333
680
5,419
3,061
2,103
10,452
4,056
2,668
25,621
5,375
909
2,664
18,288
12,834
67,036
5,841
3,858
1,659
2,886
3,800
7,018
68,478
1,160
2,104
1,297
1,565
6,420
515
450
4,159
7,758
686
23,807
1,185
1,835
4,105
2,137
3,270
6,139
10,243
2,548
6,313
777
1,838
29,531
7,882
442
1,309
472
9
5
1
31
19
2
1
14
II
176
1
5
3
1
3
129
1
303
19
8
19
29
1
17
II
5
6
10
13
74
18
15
114
56
1
14
68
48
704
19
19
7
15
30
21
299
3
7
5
13
16
3
18
33
13
181
7
175
53
2
I
7,365
102
76
264
211
3
34
21
13
209
51
155
494
201
92
1,306
315
33
246
1,197
501
3,963
273
85
24
154
205
149
8,172
131
118
32
31
565
9
4
224
394
3
1,449
32
117
43
50
58
146
563
16
418
5
64
2,051
336
7
89
6,779
145
174
501
457
49
200
56
27
107
131
148
899
288
226
976
621
132
281
1,100
578
6,811
400
350
215
190
250
661
7,007
40
136
105
93
307
15
10
192
530
52
2 449
58
258
256
83
266
129
1,487
141
667
82
170
3,352
507
22
101
12,035
696
355
976
1,532
68
1,083
229,
192
1,137
535
504
2,948
880
615
6,305
1,407
233
595
3,955
2,554
17,529
1,588
719
304
624
767
1,581
13,507
338
627
270
392
1,495
128
143
843
1,672
142
5,453
236
371
986
446
717
1,059
2,766
808
2,735
194
310
6,145
1,922
138
375
30,326
2,273
895
2,607
2,239
414
2,311
955
416
3,374
2,113
996
5,214
2,364
1,629
14,409
2,405
453
1,242
8,498
7,704
31,392
3,198
2,490
1.042
1,358
1.972
4,216
29,518
510
958
832
914
2,896
325
276
2,455
4,763
376
12,662
822
1,022
2,638
1,418
2,076
4,153
4,441
1,480
1,690
460
1,222
14,975
4,702
248
650
8,109
308
135
518
227
16
201
60
25
580
213
276
783
296
88
2,425
523
52
280
3,402
1,426
6,043
347
184
60
536
573
359
9,577
135
249
53
119
1,122
33
14
422
325
97
1,526
35
50
148
134
135
630
898
84
742
29
58
2,596
339
22
91
80
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued
City by State
Population
Cnrae
Index
lotaJ
Modified'
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
FLORIDA— CoDtiniied
Stuart
Simrise
Tamarac
Tampa
Tarpon Springs
Titusville
West Palm Beach
Wilton Manors
GEORGIA
Alpharetta
Amehctis
Atlanta
Augusta
Bainbridge
CarroUton
Cartersville
College Park
Columbus
Cordele
Covington
Dalton
Ehiblin
East Point
Forest Park
La Grange
Lawrenceville
Macon
Marietta
Moultrie
Rome
Savannah
Smyrna
SneUviUe
Statesboro
Thomasville
Tifton
Valdosta
Warner Robins
HAWAII
Hilo
Honolulu
IDAHO
Boise
Caldwell
Coeur d'Alene
Idaho Falls
Lewiston
Moscow
Nampa
Pocatello
Rexburg
Twin Falls
11,936
64.407
44,822
280,015
17,906
39,394
67,643
11,804
37,054
836,231
125,738
18,400
24,563
43,929
28,082
18,519
28,365
46,080
14,302
27,591
1.198
3.436
1.865
44.660
1.331
2.939
12.824
961
13,002
434
16,512
1,074
394,017
75,793
44,639
5,342
10.712
1,072
16.029
2,670
12,035
993
20.457
3.831
179.278
12.019
10.321
1.386
10.026
1.373
21.761
2.258
16.312
1.256
34.402
4,286
16.925
2.094
25.597
2,810
16.848
935
106,612
11.741
44,129
5.906
14,865
1.660
30.326
3.266
137.560
13.179
30.981
4.785
12.084
543
15.854
1.046
17.457
1.813
14.215
1.567
39.806
2,429
43.726
3,847
3,392
51,028
6,989
1,789
1,941
2.853
1,022
644
2,538
2,383
723
2,082
1.200
3.440
1.871
1.334
2.952
12,854
966
76,104
12,064
11.795
13.229
3.412
51.342
7.016
1.803
1.951
2.862
1.023
650
2.561
2.387
724
2,092
1
1
231
24
7
3
343
4
13
96
1
6
695
37
10
18
7
28
93
6
6
9
8
40
7
10
7
78
49
II
35
102
31
I
3
II
12
29
25
26
278
39
77
74
2,915
33
78
1,044
38
5
40
6,109
277
22
68
25
232
456
35
41
52
40
258
109
100
30
260
152
45
75
779
123
2
17
89
80
139
56
39
889
133
238
80
5.290
184
231
815
12
II
77
9.062
151
75
159
37
182
464
129
78
152
156
278
87
196
39
401
320
307
176
577
113
3
57
147
213
140
351
86
I.2II
378
82
114
153
II
12
95
224
9
66
235
607
307
11.400
342
882
3,346
206
96
253
15,519
1,677
298
604
244
671
2,549
385
260
432
157
1,092
516
542
188
2.623
1.117
431
890
2,763
867
56
198
319
286
734
758
668
9,785
1,369
324
271
463
115
89
469
292
54
343
755
2,240
1,249
18,484
719
1,541
5,621
606
264
678
33,020
2,742
620
1.718
599
2.057
7.673
768
905
1.398
842
1,931
1,182
1,811
588
7,544
3,705
792
1,865
7,991
3,217
464
739
1,163
925
1,231
2,473
2,392
35.514
4,857
1,309
1.483
2.112
851
521
1.852
1.748
656
1.567
35
267
151
6.168
48
191
1.889
97
56
19
11,157
434
45
103
81
655
761
59
82
211
52
686
192
148
83
814
561
70
221
934
425
17
30
78
47
144
182
177
3,317
287
54
45
106
38
20
99
78
3
90
81
able 6. — Number of Offenses Known to tbe Police, Cities and Towns 10,000 and over in Popalation, 1990 — Continued
City by Sute
Population
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
nxiNois'
ddison
Igonquin
slip
Iton
rlington Heights
urora
utlett
itavia
sUeviUe
sUwood
slvidere
:nsenviUe
srwyn
loomingdale
ioomington
lue Island
Dlingbrook
Durbonnais
radley
ridgeview
rookfield
uflalo Grove
urbank
ahokja
alumet City
anion
arbondale
arol Stream
arpentersviUe
ary
entralia
bampaign
harleston
hicago
bicago Heights
hicago Ridge
icero
oUinsviUe
ountry Club Hills
rest HiU
restwood
rystal Lake
ianville
larien
iecatur
•eerfield
•e Kalb
>es Plaines
>ixon
tolton
>owners Grove
ast Moline
ast Peoria
ast St. Louis
xlwardsviUe
^flingham
ilgin
32,058
11,663
18,227
32,905
75,460
99,581
19,373
17,076
42,785
20,241
15,958
17,767
45,426
16,614
51,972
21,203
40,843
13,934
10,792
14,402
18,876
36,427
27,600
17,550
37,840
13,922
27,033
31,716
23,049
10,043
14,274
63,502
20,398
2,783,726
33,072
13,643
67,436
22,446
15,431
10,643
10,823
24,512
33,828
18,341
83,885
17,327
34,925
53,223
15,144
23,930
46,858
20,147
21,378
40,944
14,579
11,851
77,010
851
4
18
17
100
24
245
8
1
28
82
4
8
66
5
25
44
21
5
2
9
7
2
34
20
74
4
26
15
17
7
131
3
37,156
130
9
101
15
13
17
2
3
75
3
120
2
8
23
3
75
18
3
7
663
5
10
115
61
8
42
150
46
535
30
8
42
12
55
46
23
136
33
53
11
29
6
92
50
71
16
76
66
61
2
44
405
16
41,114
393
17
483
43
18
25
2
17
220
7
422
2
36
41
8
36
45
31
12
1,570
7
220
235
52
190
687
460
1,603
132
129
337
212
93
234
419
101
474
196
182
69
158
124
70
80
225
192
399
124
265
279
199
7
268
890
114
50,203
320
121
710
199
105
51
14
71
574
42
1,192
28
171
294
108
330
305
94
193
1,131
87
97
963
1,049
219
827
1,744
2,110
3,944
525
357
1,367
759
466
926
1,145
1,176
1,987
942
668
316
707
834
295
650
1,316
802
1,772
456
1,150
1,052
1,112
110
723
3,202
307
130,000
1,072
926
563
769
326
482
133
781
1,772
271
3,639
328
1,135
1,495
448
1,349
1,438
234
700
1,088
412
632
2,702
70
22
179
124
117
302
16
9
102
194
16
109
345
48
92
259
142
13
35
71
36
22
137
50
611
27
41
43
72
31
209
8
48,626
422
109
622
73
66
48
20
92
25
125
9
57
153
12
27q
90
12
22
1,139
19
33
270
>ee footnote at end of table.
(2
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued
City by Sute
Population
Cnme
Index
total
Modined*
Crime
Index
total
Murder
and non-
nesligeat
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
ILLINOIS'— Continued
Elk Grove Village
Elmhuret
Elmwood Park
Evanston
Evergreen Park .
Fairview Heights
Forest Park
Franklin Park ...
Freeport
Galesburg
Geneva
Glendale Heights
Glen EUyn ...
Glenview
Granite City .
Gumee
Hanover Park
Harvey
Hazel Crest ...
Herrin
Hickory HiUs .
Highland Park
Hinsdale
HofTman Estates
Homewood
Jacksonville
Joliet
Justice
Kankakee
Kewanee
La Grange
La Grange Park
Lake Forest
Lake Zurich
Lansing
Libert yviUe
Lincoln
Lincolnwood
Lisle
Lombard
Loves Park
Machesney Park
Macomb
Marion . .
Markham
Matteson
Mattoon
Maywood
Mc Henry . .
Melrose Park
Midlothian . .
Moline
Morris
Morton
Morton Grove .
Mount Prospect
Mount Vernon
33,429
42,029
23,206
73,233
20,874
14,351
14,918
18,485
25,840
33,530
12,617
27,973
24,944
37,093
32,862
13,701
32,895
29,771
13,334
10,857
13,021
30,575
16,029
46,561
19,278
19,324
76.836
11,137
27,575
12,969
15,362
12,861
17,836
14,947
28,086
19,174
15,418
11,365
19,512
39,408
15,462
19,033
19,952
14,545
13,136
11,378
18,441
27,139
16,177
20,859
14,372
43,202
10,270
13,799
22,408
53,170
16,988
14
17
42
163
24
16
55
15
19
16
1
7
11
4
16
8
16
483
14
10
8
2
276
6
200
3
9
2
6
5
19
10
5
3
11
56
11
2
319
1
52
20
24
1
31
23
5
242
16
18
25
31
154
43
3
37
9
14
95
13
48
169
37
14
12
19
5
38
9
72
640
25
414
22
18
7
6
4
19
1
24
9
15
48
35
30
19
25
59
16
7
324
4
46
14
121
9
9
10
36
41
235
227
80
1,244
90
98
170
169
165
350
110
99
155
111
470
70
257
1,343
82
125
48
101
86
266
48
375
1,318
117
825
174
210
53
31
55
234
66
116
82
130
351
248
231
136
161
224
53
48
547
22
132
98
438
50
68
107
294
443
1,071
1,141
427
3,439
1,162
1,129
693
939
1,029
1,663
282
600
614
745
1,074
682
899
2,028
343
286
195
600
199
1,220
797
1,034
4,340
203
2,255
574
325
154
154
324
1,030
527
589
553
482
1,786
896
725
493
525
226
1,057
222
1,272
388
1,285
508
1,880
386
247
54
1,382
670
80
141
159
334
185
81
149
99
52
37
II
43
37
38
86
46
39
820
73
16
41
40
14
95
97
34
789
65
208
17
23
10
6
299
41
20
53
39
147
21
27
10
20
74
121
12
493
10
430
81
77
20
6
40
135
50
See footnote at end of table.
83
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued
Cily by Stale
Population
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
roan-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larx:eny-
Iheft
Motor
vehicle
theft
ILUNOIS'— Continued
Mundelein
Naperville
Niles
Normal
Norridge
Northbrook
North Chicago
Northlake
Oak Forest
Oak Lawn
Oak Park
OTallon
Orland Park
Ottawa
Palatine
Palos Heights
Pales Hills
Park Forest
Park Ridge
Pekin
Peoria
Pontiac
Prospect Heights
Quincy
Rantoul
Richton Park
Riverdale
River Forest
Rock Island
Rolling Meadows
Romeoville
Roselle
Round Lake Beach
St. Charles
Schaumburg
Schiller Park
Skokie
South Holland
Springfield
Sterling
Streamwood
Streator
Taylorville
Tinley Park
Urbana
Vernon Hills
Villa Park
Warrenville
Washington
Waukegan
Westchester
West Chicago
Western Springs
Westmont
Wheaton
Wheeling
Wilmette
See footnote at end of table.
21,215
85,351
28,284
40,023
14,459
32,308
34,978
12,505
26,203
56,182
53,648
16,073
35,720
17,451
39,253
11,478
17,803
24,656
36,175
32,254
113,504
11,428
15,239
39,681
17,212
10,523
13,671
11,669
40,552
22,591
14,074
20,819
16,434
22,501
68,586
11,189
59,432
22,105
105,227
15,132
30,987
14.121
11,133
37,121
36,344
15,319
22,253
11,333
10,099
69,392
17,301
14,796
11,984
21,228
51,464
29,911
26,690
4
104
8
17
25
276
2
8
4
21
2
2
21
6
12
348
2
7
12
9
4
48
37
85
14
6
2
3
4
35
24
15
206
2
4
4
1
8
26
1
27
2
197
27
55
17
52
6
11
70
5
27
32
31
15
15
6
23
2
4
55
16
50
1.015
8
25
99
43
22
69
8
265
34
15
17
17
22
104
7
57
12
737
9
25
9
7
27
105
11
19
4
7
301
3
24
2
20
18
38
4
65
382
112
325
66
139
655
111
166
262
629
126
75
78
221
24
54
203
213
212
2,272
47
127
416
82
45
169
83
523
190
91
61
75
135
668
126
276
166
1,809
161
194
47
39
119
379
80
146
69
42
719
113
106
58
148
235
143
200
691
1,871
1,043
1,186
830
722
1,521
334
571
1,347
2,186
393
953
524
1,254
152
247
615
680
891
5,985
315
309
1,374
510
268
335
359
1,782
809
479
309
633
818
2,527
413
1,534
424
5.281
559
866
140
104
842
1.334
709
977
244
175
3.419
352
593
155
558
1,036
742
486
24
63
125
26
113
36
145
76
103
196
292
47
120
18
77
11
63
120
66
40
311
16
33
63
14
74
200
38
44
64
14
19
22
14
302
68
192
129
286
9
34
IS
94
54
32
66
11
6
268
58
44
7
52
37
29
20
84
Table 6. — Number of Offenses Known to tbe Police, Cities and Towns 10,000 and over in Population, 1990 — Continued
City by Stae
Population
Cnme
Index
total
Modined*
Cnmc
Index
lotal
Murder
and non-
□egligcnl
man-
slau^tcr
Forcible
rape
Robbery
Acgra-
viled
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
ILLINOIS'— Coatiniied
Winnetka
Wood Dale
Woodridge
Wood River
Woodstock
Worth
Zion
INDIANA
Anderson'
Bedford
Beech Grove
Bloomington
Cannel
Oarksvilie
Columbus
Conner^viUe
Crawfordsville
Crown Point
Dyer
Elkhart
Evansville'
Fort Wayne
Gary
Goshen
Greenfield
Greenwood
Grimth
Hammond
Highland
Hobart
Himtington
Indianapolis
Jasper
Kokomo
Lafayette
La Porte
Lawrence
Lebanon
Logansport
Marion
Martinsville
MerrillviUe
Michigan City
Mishawaka
Munstcr
New Albany
New Castle
Noblesville
Plainfield
Portage
Richmond
SchererviUe
Speedway
Terre Haute
Valparaiso
Wabash
Sec footnotes at end of table.
12,174
12,425
26,256
11,490
14,353
11,208
19,775
59,459
13,817
13,383
60,633
25,380
19,833
31,802
15,550
13,584
17,728
10,923
43,627
126,272
173,072
116,646
23,797
11,657
26,265
17,916
84,236
23.696
21.822
16,389
483,549
10,030
44.962
43,764
21,507
26,763
12,059
16.812
32,618
11,677
27,257
33,822
42,608
19,949
36,322
17,753
17,655
10,433
29,060
38,705
19,926
13,092
57,483
24,414
12,127
740
620
2,813
707
1,646
1,767
940
781
421
258
3,815
7,897
16,055
11,361
1,200
516
1.140
779
6,596
1,127
998
645
32,635
235
2,810
2,441
1,335
1,026
231
941
2,493
499
1,671
2.806
3,011
791
2.471
1,341
601
356
1,276
2,204
465
914
2,949
1,044
338
741
620
708
1,647
1,767
948
791
425
259
3,860
7,981
16,252
12,060
1,207
516
1,143
779
6,690
1,127
998
650
32,922
236
2,831
2,450
1,335
1,026
233
941
2,495
1,671
2.826
3,040
793
2,532
1,346
605
357
1,277
2,265
467
918
3,005
1,052
342
58
34
50
95
150
5
5
6
541
100
2
5
22
80
158
475
620
3
5
5
5
218
6
25
7
1,642
11
52
24
23
6
155
51
13
251
32
45
168
12
24
56
11
49
713
739
1,644
37
1
55
725
24
52
12
3,983
14
167
26
9
30
15
4
297
8
141
59
137
22
281
15
59
13
45
26
6
146
81
51
112
76
170
84
64
64
236
585
78
122
425
51
161
376
140
153
78
18
567
1.644
2.449
3.073
150
41
127
77
1,167
103
163
123
7,878
32
486
484
120
300
36
157
355
65
105
581
499
46
493
245
117
56
178
394
38
82
711
114
41
211
355
713
539
367
196
952
2,379
564
415
1,872
591
1,335
1,129
749
586
241
203
2,933
5,002
10,951
2,834
956
447
951
504
3.022
762
603
479
13,697
182
1,997
1,797
1,133
547
159
751
1,691
404
1,080
1,819
2,077
627
1,614
1,023
398
266
893
1,603
340
731
1,790
798
230
3
27
60
24
12
32
52
95
44
60
230
32
86
67
32
15
42
25
150
324
1,329
2,975
48
17
51
137
1,413
230
150
24
4,836
7
113
104
64
117
15
22
79
20
317
240
219
90
58
55
21
16
149
135
83
76
243
38
12
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued
City by Stale
Population
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
INDIANA— Continued
Warsaw
West Lafayette
IOWA
Ames
Ankeny
Bettendoff
Burlington
Cedar Falls
Cedar Rapids
Clinton
Coralville
Council Bluffs
Davenport
Des Moines
Fort Dodge
Fort Madison
Indianola
Iowa City
Keokuk
Marion
Marshalltown
Mason City
Muscatine
Newton
Sioux City
Spencer
Waterloo ,
West Des Moines
KANSAS
Arkansas City
Atchison
Coffeyville
Derby
Dodge City
El Dorado
Emporia
Garden City
Great Bend
Hays
Hutchinson
Junction City
Kansas City
Ixiwrence
Leavenworth
l^awood
Lenexa
Liberal
Manhattan
McPherson
Merriam
Newton
Olathe
Ottawa
10,968
25,907
47,198
18,482
28,132
27,208
34,298
108,751
29,201
10,347
54,315
95,333
193,187
25,894
11,618
11,340
59,738
12.451
20,403
25,178
29,040
22,881
14,789
80,505
11,066
66,467
31,702
12,762
10,656
12,917
14,699
21,129
11,504
25,512
24,097
15,427
17,767
39,308
20,604
149,767
65,608
38,495
19,693
34,034
16,573
37,712
12,422
11,821
16,700
63,352
10,667
722
1,025
1,536
782
1,284
1,777
1,051
7,256
1,817
660
4,911
8,595
17,695
1,984
569
412
2,806
685
593
1,461
2,392
1,110
674
5,962
587
4,596
1,803
910
508
1,005
528
1,768
485
1,747
2,069
972
697
2,804
2,278
18,473
4,692
1,953
535
1,614
1,208
1,810
337
904
648
3,420
466
729
1,028
1,543
790
1,298
1,777
1,052
7,297
1,817
663
4,928
8,688
17,965
1,990
569
415
2,838
686
593
1,467
2,401
1,110
677
6,004
588
4,646
1,804
2,095
2,812
2,291
18,593
13
22
1
4
23
11
167
26
13
1
15
9
3
73
16
3
76
184
333
19
3
3
7
4
15
1
11
12
6
2
20
25
965
44
26
4
14
3
32
19
55
130
21
157
47
84
194
761
961
108
7
36
231
22
12
108
200
131
13
363
6
192
33
44
36
62
29
75
19
86
157
60
16
194
202
1,730
238
135
13
50
55
76
II
37
17
208
27
107
127
182
109
213
347
168
1,3J0
334
116
1,145
1,777
2,772
487
97
58
412
113
132
273
299
210
76
1,423
45
1,462
258
217
115
301
102
405
79
281
361
159
97
671
310
3,867
796
427
173
361
263
204
54
141
131
508
124
579
831
1,219
633
961
1.211
824
5,366
1,345
426
3,139
5.444
12,673
1,289
446
304
2,009
505
435
1,021
1,810
724
555
3,854
512
2,643
1.448
602
328
602
387
1,186
364
1,311
1.439
718
556
1,816
1,673
8,742
3.417
1.280
335
1,129
838
1.464
252
640
475
2.476
302
28
33
63
16
33
78
32
335
74
26
331
346
844
75
16
14
108
38
12
43
70
38
28
210
23
178
42
31
25
24
3
80
14
43
77
27
22
79
53
2.974
170
64
8
49
44
45
15
69
18
174
9
86
Table 6.— Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Popolation, 1990— Continued
City by Sute
Population
Cnmc
Index
total
Modifled*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Anon*
KANSAS— ContiniKd
Overland Park
111.790
11.924
17,775
23,186
42,303
37,993
119,883
304,01 1
11,931
23.622
40,641
43,264
12,420
18,167
15,979
18,624
16,032
25.968
11.414
12.351
25.945
29,809
10,444
23,221
225.366
269.063
16.200
11.328
14,439
18,871
13.603
53.549
27.256
19.772
21.155
15.800
15.535
10,733
15,799
49,188
233,680
14,280
52,721
17,208
37,263
11,305
72.033
94.440
70.580
13.661
54,909
14,531
31.828
5.379
625
1.235
405
2,398
1,604
11.416
27.141
514
971
3.588
4.077
731
1,148
621
1,071
177
1,271
706
122
2,347
1.408
223
653
16.245
17.285
1,353
719
459
1,565
725
2,568
2,390
781
1,003
910
642
635
696
5,533
28,939
1,020
3,805
1,846
2,602
660
6.245
7.948
4,422
696
6.540
750
1.051
5.401
2.419
11.465
973
3,588
4,077
733
1,151
621
1,071
179
1,278
711
122
2,357
1,422
223
654
16,326
17,357
1,363
721
459
1,566
725
2,577
2.394
783
1.010
910
642
643
697
5.563
29.108
1,020
3,820
1,850
2,616
661
6,248
7,965
4.430
697
6.540
751
,
15
3
4
2
14
10
80
321
4
9
36
24
2
4
80
3
3
7
10
37
290
1.079
1
12
65
93
5
10
3
20
2
36
4
2
18
28
12
452
1.089
3
4
3
35
4
24
42
8
13
10
42
5
13
83
827
43
61
136
112
4
190
175
136
19
87
33
22
181
26
68
11
92
77
781
771
15
26
293
716
121
78
106
14
10
157
140
7
368
147
3
21
1.157
1.031
182
39
47
185
101
59
306
151
158
24
34
65
66
527
3.347
98
293
145
254
94
418
628
434
181
800
4
11
807
148
219
142
329
314
2,878
6,230
148
212
764
1.016
187
197
67
155
32
230
98
23
355
317
53
69
3.177
4.765
205
141
121
379
122
537
388
137
192
148
167
73
67
1.252
6.152
273
727
430
458
93
1.220
1,593
1,042
152
1.146
280
240
3.985
426
890
223
1.902
1,106
6,948
16,550
332
671
2,240
1,988
392
815
422
806
126
794
440
79
1,497
836
156
527
10,538
8,686
898
501
269
838
458
1,818
1,516
440
565
680
325
464
501
3,366
15,291
572
2.466
958
1,659
458
3,599
5,187
2,483
320
4,280
412
725
310
19
51
20
50
59
428
2,172
14
38
189
236
24
44
23
72
6
47
20
10
92
62
9
24
760
1,553
57
32
18
110
37
107
115
36
70
46
65
26
45
265
3,161
29
235
165
91
6
764
296
266
16
176
15
44
22
Pittsburc
1
1
U
18
21
49
Wichita
Winfield
KENTUCKY
Ashland
3
1
4
2
2
Elizabethtown
3
4
1
7
3
1
16
14
1
2
7
1
5
Henderson
4
10
14
1
20
39
3
141
122
5
2
1
16
3
23
21
9
3
1
8
2
3
29
112
4
20
12
24
2
40
64
54
4
47
5
6
81
Louisville
72
10
2
Newport
2
1
9
Paducah
2
4
Rfldcliff
2
2
1
7
Si Matthews
Shively
8
Winchester
1
11
49
1
3
1
LOUISIANA
30
Baton Rouge
169
Bossier City ...
15
Gretna
4
Houma
4
3
14
5
7
4
4
1
3
14
Jennings
1
3
Lafayette
17
Lake Charles
8
1
1
New Iberia
87
Tmble 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued
City by Suie
Population
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
LOUISIANA— Coodniwd
New Orleans
PineviUe
Ruston
Shreveport
West Monroe
Westwego
MAINE
Auburn
Augusta
Bangor
Bath
Bidtleford
Brunswick
Gorbam
Lewiston
Orono
Portland
Presque Isle
Saco
Sanford
Scarborougb
South Portland
Waterville
Westbrook
Windham
MARYLAND
Aberdeen
Annapolis
Baltimore
Cambridge
Cumberland
Frederick
Greenbelt
Hagerstown
Hyattsville
Laurel
Salisbury
Takoma Park (Montgomery County) ..
Takoma Park (Prince Georges County)
Westminster
MASSACHUSETTS
Andover
Belchertown
Bellingham
Belmont
Beverly
Boston
Braintree
Bridgewater
Brookline
Cambridge
Carver
Chelmsford
Danvers
496,938
12,251
20.027
198,525
14,096
11,218
23,664
21,313
31,163
10,834
21,100
20,906
11,856
39,027
10,573
62,103
10,560
15,475
20,463
12,518
22,833
17,380
15,485
13,020
13,087
33,187
736,014
11,514
23,706
40,148
21,096
35,445
13,864
19,438
20,592
11,924
4,776
13,068
29,151
10,579
14,877
24,720
38,195
574,283
33,836
21,249
54,718
95,802
10,590
32,383
24,174
61,799
604
1,532
21,324
1,306
471
1,100
1,440
2,044
499
1,204
658
208
2,485
231
7,257
247
755
781
446
1,364
1,019
715
529
913
2,605
77,989
820
1,405
2,784
1,018
1,786
753
1,159
2,451
591
427
904
1,049
215
305
551
1,017
68,057
1,805
439
3,088
7,045
162
962
1,548
614
1,532
21,507
1,309
472
1,103
1,459
2,051
501
1,224
661
212
2,506
231
7,352
248
770
788
446
1,371
1,024
719
533
924
2,672
78,656
829
1,406
2,806
1,809
2,469
916
1,049
215
336
552
1,020
1,820
439
3,095
7,074
162
965
1,548
304
1
5
305
3
143
361
4
5
133
5
1
17
687
9
9
15
6
12
3
5
2
4
1
3
539
10
3
20
29
6,048
4
13
884
6
14
44
121
1
7
5
3
6
6
5
3
26
121
9,477
22
9
96
46
53
60
35
102
49
34
10
2
10
20
6,022
26
2
136
431
1
9
19
4,514
20
113
1,444
61
37
5
22
14
3
20
8
8
69
6
269
4
3
8
16
14
18
6
9
58
289
7,473
139
112
401
35
171
46
61
319
23
12
35
15
6,960
103
51
190
604
29
23
49
13,624
222
183
5,117
171
138
293
272
336
42
272
98
50
557
22
1,572
45
149
111
87
103
89
134
107
236
543
14,753
177
266
462
140
323
127
174
336
158
77
142
180
86
90
207
264
10,238
278
101
613
1,470
70
145
184
24,806
333
1,180
12,828
1,010
231
713
1,075
1,593
414
828
516
144
1,711
198
4,739
189
579
630
324
1,184
874
528
385
542
1,515
35,383
445
981
1,669
553
1,147
393
738
1,593
298
234
671
654
105
157
293
580
29,642
965
215
1,600
3,137
41
651
1,025
12,142
21
36
853
53
46
68
47
77
37
61
28
6
80
4
517
7
16
26
15
57
25
37
23
49
115
9,911
25
28
137
238
80
123
143
87
56
65
37
174
6
29
32
135
14,513
423
67
529
1,371
21
133
270
88
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued
City by Stale
Population
Crime
Index
total
Modified*
Cnmc
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
MASSACHUSETTS— Continiied
Dartmouth
Dennis
Dracut
Duxbury
East Longmeadow
Fall River
Fitcbburg
Fo:(boro
Gloucester
Harvard
Harwich
HaverhiU
Hingham
Holden
HoUiston
Hudson
Hull
Ipswich
Lawrence
Leicester
Leominster
Lexington
Longmeadow
Ludlow
Maiden
Maishfield
Maynard
Medfield
Medford
Melrose
Methuen
Middleboro
MUford
MiUbury
Milton
Natick
Needham
New Bedford
Newton
North Adams
Northampton
North Andover
North Attleboro
Northbridge
North Reading
Norwood
Oxford
Peabody
Pembroke
Quincy
Reading
Revere
Salem
Seekonk
Sharon
Somerset
27,244
13,864
25,594
13,895
13,367
92,703
41,194
14,637
28,716
12,329
10,275
51,418
19,821
14,628
12,926
17,233
10,466
11,873
70,207
10,191
38,145
28,974
15,467
18,820
53,884
21,531
10,325
10,531
57,407
28,150
39,990
17,867
25.355
12,228
25,725
30.510
27,557
99,922
82,585
16,797
29,289
22,792
25,038
13,371
12,002
28,700
12,588
47,039
14,544
84,955
22,539
42,786
38,091
13,046
15.517
17.655
1,439
646
1,033
209
677
7.295
2,124
644
953
33
416
3,026
593
167
145
321
333
390
8,613
309
1,694
526
386
434
2,538
671
161
144
2,283
631
1,739
792
323
124
551
956
553
7,008
2,858
920
1,332
792
1,509
284
339
741
332
2.450
499
3.869
267
2.628
1.977
956
185
641
1,462
647
1,034
209
678
7,455
2,136
647
962
33
426
3,059
593
167
146
328
338
390
8.630
311
1,699
527
386
435
2,540
- 671
161
146
2,300
632
1,742
793
324
125
554
956
553
7,171
2,863
926
1,342
795
1,509
285
343
773
332
2,461
500
3.922
267
2.629
1.978
959
187
647
24
26
6
4
1
10
220
36
2
1
1
345
2
12
4
3
64
2
1
1
46
5
37
1
4
3
19
4
5
327
27
10
9
3
40
5
129
9
91
61
8
2
10
79
33
68
10
24
493
188
29
262
3
22
294
4
6
1
35
71
24
567
54
218
3
19
32
454
39
14
13
272
9
101
81
16
30
18
24
757
71
154
93
35
193
37
17
62
45
55
36
313
18
240
170
44
5
43
285
238
229
59
130
1.764
494
258
142
16
114
954
126
37
20
79
111
76
2.378
73
329
75
44
117
524
124
43
25
442
109
171
117
94
49
136
204
114
1.780
653
199
250
124
218
52
83
108
83
452
114
951
63
597
449
131
55
127
739
332
555
123
464
3,463
1,123
306
494
12
268
1.177
418
116
115
170
125
265
1.730
151
942
411
311
219
909
448
83
100
1,099
439
827
495
145
40
295
565
381
2,619
1,753
484
861
523
869
176
200
404
156
1.452
299
1.617
151
528
919
602
108
396
308
36
175
15
48
1.300
258
48
52
1
6
555
43
6
9
27
24
22
3.534
26
181
26
8
62
570
56
17
5
422
68
593
96
79
11
68
153
27
1,472
346
38
114
104
214
14
38
155
40
443
44
830
26
1,160
366
167
15
64
89
Table 6.— Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued
City by Stale
Population
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
valed
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
MASSACHUSETTS— Codtinoed
Somerville . . .
South Hadley
Springfield . . .
Taunton
Uxbridge
Waltham
Webster .
Westboro
Westfield
Weston
Westwood
Weymouth .
Wilbraham .
Wilmington
Winchester .
Woburn . .
Yarmouth
MICHIGAN
Adrian
Albion
Allen Park
Alpena . . . .
Ann Arbor
Auburn Hills
Bay City
Benton Harbor ..
Benton Township
Berkiey
Berrien Springs-Oronoko
Beverly Hills
Big Rapids
Birmingham
Blackman Township
Bloomfleld Township
Bridgeport Township
Brownstown Township
Buena Vista Charter Township
Burton
Cadillac
Canton Township
Chesterfield Township
Clawson
Clinton Township ,
Clio-Vienna
Davison Township
Dearborn
Dearborn Heights
Detroit
De Witt Township
East Grand Rapids
East Lansing
Ecorse
Emmett Township
Escanaba
Farmington
Farmington Hills .
76,210
16,685
156,983
49,832
10,415
57,878
16,196
14,133
38,372
10,200
12,557
54,063
12,635
17,651
20,267
35,943
21,174
22,097
10,066
31,092
11,354
109,592
17,076
38,936
12,818
17,163
16,960
11,746
10,610
12,603
19,997
20,492
42,473
12,747
18,811
10,900
27,617
10,104
57,040
25,905
13,874
85,866
15,839
14,671
89,286
60,838
1,027,901
10,448
10,807
50,677
12,180
10,764
13,659
10,132
74,652
3,175
336
14,648
1,968
218
1,397
411
398
1,647
138
311
2,141
325
589
287
1,733
1,335
1,302
342
1,350
602
9,212
1,058
2,493
2,905
2.904
501
331
258
727
733
669
1,624
424
865
1,158
2,191
651
2,603
1,058
504
4,467
856
422
7,225
3,623
125,325
399
235
2,030
1,019
628
663
392
2,737
3,196
336
1,976
222
1,397
413
398
1,659
140
314
2,150
326
594
287
1,751
1,349
1,306
344
1,350
607
9,249
1,066
2,509
2,939
2,911
501
333
261
728
733
674
1,634
427
870
1,171
2,197
653
2,616
1,061
505
4,495
861
424
7,232
3,634
126,631
402
236
2,077
1,038
635
663
395
2,751
13
5
1
582
1
132
12
I
63
27
43
48
19
3
2
1
14
2
6
I
2
5
12
12
8
18
7
4
33
6
5
12
38
1,657
6
137
1
999
58
1
21
4
2
14
1
3
16
2
8
2
20
14
7
5
26
4
125
38
30
107
43
7
2
8
17
13
12
39
42
1
19
4
5
93
5
2
153
124
13,010
4
1
27
63
10
1
3
30
338
36
2,268
179
39
37
39
24
145
9
214
17
56
6
29
80
19
24
74
16
391
76
115
646
206
35
9
7
16
5
33
40
31
60
167
109
29
65
19
14
252
79
10
335
160
12,498
16
1
73
172
26
17
8
133
683
60
3,530
551
43
500
130
67
405
36
60
524
62
116
81
185
509
133
62
238
96
1,453
204
525
807
548
53
68
30
115
99
261
74
147
225
370
78
338
202
76
774
147
90
471
590
26,063
77
18
249
229
168
53
55
600
1,085
188
4,816
799
116
647
207
268
902
95
213
1,018
183
318
173
1,110
665
1,119
244
808
460
6,811
584
1,674
1,135
1,966
380
240
203
562
563
492
1,172
288
513
646
1,438
512
1,923
756
365
2,846
563
268
5,140
2,131
41,139
274
203
1,483
362
387
572
310
1,761
922
50
2,890
369
18
183
24
36
169
6
25
360
60
84
23
381
49
24
4
204
21
368
129
105
151
121
23
10
16
17
63
31
133
16
128
67
218
23
239
69
40
466
54
47
1,109
579
30,376
22
12
181
174
34
14
15
193
90
Table 6. — Nmnber of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued
City by Suit
PopulatioD
Crime
Index
lotaJ
Modified'
Cnme
Index
toul
Murder
and non>
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
MICHIGAN— CoattniMd
Femdale
Flint
Flint Township
Fraser
Garden City
Genesee Township
Gnmd Blanc Township
Grand Haven
Grand Rapids
Grandville
Green Oak Township
Grosse Pointe Farms
Grosse Pointe Park
Grosse Pointe Woods
HambiiTg Township
Hamtramck
Harper Woods
Hazel Park
Highland Park
Holland
Huron Township
Jaekson
Kalamazoo
Kalamazoo Township
Kentwood
Lansing
Leoni Township
Lincoln Park
Livonia
Marquette
Melvindale
Midland
Monroe
Moimt Qemens
Mount Morris Township
Mount Pleasant
Mundy Township
Muskegon
Muskegon Heights
Muskegon Township
NUes
Niles Township
Northville Township
Norton Shores
Novi
Oak Park
Oscoda-Ausable Township
Owosso
Pittsfield Township
Plymouth Township
Portage
Pott Huron
Redford Township
River Rouge
Riverview
Romulus
25,084
140,761
34,081
13,899
31,846
24,093
25,392
11,951
189.126
1 5,624
11,604
10,092
12,857
17,715
13,083
18.372
14,903
20,051
20.121
30.745
10.447
37,446
80,277
20.976
37.826
127,321
13,435
41,832
100.850
21.977
11.216
38,053
22,902
18.405
25.198
23,285
11,511
40,283
13.176
15,302
12,458
12.828
17.313
21,755
32,998
30,462
14,270
16,322
17.668
23.648
41.042
33.694
54.387
11.314
13,894
22.897
1.940
18.963
2,697
832
1,410
1,161
999
730
16.400
598
220
387
472
380
286
2.544
2.011
2.033
3,496
1.601
373
3,950
8.360
857
2.074
10.574
585
3,187
4,356
766
1,163
1,435
1,264
1,707
1,411
1,219
523
4,760
2,089
1,007
915
360
595
888
1,677
2,168
331
854
1,608
679
2.201
1,981
3,353
1,302
531
2,107
1,950
19.318
2.700
833
1.429
1,173
1,004
731
16,541
600
220
391
472
380
297
2,556
2,014
2,049
3,511
1,605
378
3,991
8,427
860
2,079
10,666
587
3.194
4.373
770
1,167
1,445
1,279
1.721
1.415
1.225
524
4,794
2,099
1,007
919
361
599
896
1,683
2,174
333
856
1,613
679
2,206
1,986
3,368
1,321
531
2.116
21
27
161
17
7
4
12
8
6
378
7
2
2
17
1
16
91
27
2
102
70
18
30
163
5
13
21
5
3
14
12
18
18
4
1
35
14
1
26
3
4
4
8
23
5
9
6
14
74
925
70
9
30
31
10
4
681
4
2
12
21
10
138
42
69
376
5
123
432
11
31
309
3
82
91
2
26
3
30
85
82
1
3
129
77
9
20
5
3
11
II
99
25
2
24
2
14
47
112
45
52
149
2.392
98
49
87
131
55
20
1.948
10
15
10
5
I
9
267
12
339
576
125
27
658
1,454
83
78
1,391
63
142
168
16
27
46
119
195
168
38
29
513
286
4
83
10
12
28
31
21
67
63
43
79
122
152
161
8
189
294
5,033
369
112
181
257
202
68
3.743
86
52
47
69
69
66
519
119
262
552
132
116
773
1,537
142
317
1.748
77
483
697
52
258
142
175
291
396
98
103
1.071
414
197
154
64
72
99
166
293
87
175
196
71
206
353
543
286
81
309
1,155
8,158
1,873
556
I.OII
590
652
614
8,138
457
137
271
323
273
183
1,035
1,570
1.106
1,143
1,262
194
2,005
4,435
571
1,480
6,376
425
2,024
2,867
664
633
1.172
863
1,017
503
1,044
364
2,798
1.193
767
590
269
458
707
1,353
1.177
209
575
1,159
486
1,843
1,377
1,985
600
404
1,168
240
2,239
269
99
94
137
72
18
1,494
34
12
47
51
27
26
562
267
241
737
50
34
286
420
32
138
576
12
442
511
27
215
58
65
100
241
34
23
210
102
28
42
9
46
39
107
388
9
26
160
77
45
60
538
200
38
360
91
Table 6. — Number of Ofieoses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued
City by Slale
Population
Crime
Index
total
Modified'
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
MICHIGAN-CootiniKd
Roseville
Royal Oak
Saginaw
Saginaw Township
St. Clair Shores
Sault Ste. Marie
Shelby Township
Southfield
Southgate
Sterling Heights
Sturgis
Summit Township
Sumpter Township
Taylor
Thomas Township
Traverse City
Trenton
Troy
Van Buren Township
Walker
Warren
Waterford Township
Wayne
West Bloomfleld Township
Westland
White Lake Township
Woodhaven
Wyandotte
Wyoming
Ypsilanti
MINNESOTA
Albert Lea
Andover
Anoka
Apple Valley
Austin
Bemidji
Blaine
Bloomington
Brainerd
Brooklyn Center
Brooklyn Park
Bumsville
Champlin
Chanhassen
Chaska
Cloquet
Columbia Heights
Coon Rapids
Cottage Grove
Crystal
Duluth
Eagan
Eden Prairie
Edina
Elk River
51,412
65,410
69,512
37,684
68,107
14,689
48,655
75,728
30,771
117,810
10,130
21,130
10,891
70,811
10,971
15,155
20,586
72,884
21,010
17,279
144,864
66,692
19,899
54,516
84,724
22,608
11,631
30,938
63,891
24,846
18,310
15,216
17,192
34.598
21,907
11,245
38,975
86,335
12,353
28,887
56,381
51,288
16,849
11,732
11,339
10,885
18,910
52,978
22,935
23,788
85,493
47,409
39,311
46,070
11.143
5,320
3,600
8,815
1,819
3,409
752
1,846
5,642
1,971
5,878
527
352
397
5,525
295
768
590
4,091
779
1,152
8,831
4,567
1,451
1,369
5,034
863
868
1,038
3,608
2,020
616
518
983
980
1.032
1,331
2,552
3,909
1,004
2,533
3,580
2,779
561
202
396
588
1,212
2,458
751
883
4,717
1,516
1,460
1,897
469
5,335
3,615
8,985
1,828
3,423
753
1,858
5,657
1,984
5,935
530
353
407
5,547
295
776
591
4,106
785
1,154
8,854
4,586
1,462
1,379
5,090
871
871
1,040
3,634
2,031
618
521
987
988
1,032
1,349
2.555
3.919
1.010
2,533
3,601
2,783
562
203
398
594
1,227
2,471
754
888
4,741
1,525
1,467
1,904
472
28
12
187
8
7
21
85
60
426
19
46
2
12
226
28
49
3
2
2
118
1
3
9
39
8
10
255
66
42
8
81
5
10
12
57
119
169
174
1,599
49
109
19
132
308
92
328
36
21
47
201
9
26
26
139
26
20
608
240
104
49
304
56
17
10
139
248
19
12
30
10
35
59
34
89
20
35
306
20
11
1
12
25
41
43
37
26
211
27
31
15
17
535
469
2,335
204
593
110
228
857
201
731
87
76
106
691
58
108
96
648
121
134
1,333
598
272
241
846
139
98
148
720
371
61
150
174
180
111
105
322
696
187
384
704
379
107
24
58
73
285
349
126
170
689
221
282
446
85
3,647
2,548
3,847
1,472
2,267
568
1,329
2,954
1,369
4,203
346
235
204
3,538
218
599
409
2,849
472
952
4,723
3,208
839
1,003
3,140
622
655
761
2,375
1,089
501
324
719
754
827
1,052
2,064
2,772
719
1,851
2.210
2.167
422
166
304
401
790
1,939
554
602
3,368
1,180
1,075
1,339
340
854
334
388
67
385
44
132
1,259
268
527
20
17
38
953
9
21
48
403
143
27
1,798
381
177
64
619
38
86
107
270
166
28
28
48
29
44
98
110
301
59
215
268
184
16
10
19
78
81
104
24
60
352
70
58
86
24
92
Table 6.— Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued
City by Stale
Population
Cnme
Index
total
Modified-
Clime
Index
total
Murder
and non-
negligent
man-
slaugbter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
MINNESOTA— Contiiiiied
Fairmont
Faribault
Fergus Falls
Fridley
Golden Valley
Hastings
Hibbing
Hopkins
Hutchinson
Inver Grove Heights
Lakeville
Mankato
Maple Grove
Maplewood
Marshall
Minnetonka
Moorhead
Mounds View
New Brighton
New Hope
New Ulm
Northfield
North Mankato
North St. Paul
Oakdale
Owatonna
Plymouth
Prior Lake
Ramsey
Red Wing
Richfield
Robbinsdale
Rochester
Roseville
St. Cloud
St. Louis Park
St. Paul
Shakopee
Shoreview
South Lake Minnetonka
South St. Paul
Stillwater
Vadnais Heights
West St. Paul
White Bear Lake
Willmar
Winona
Woodbury
MISSISSIPPI
Brandon
Oarksdale
Columbus
Corinth
Greenville
Greenwood
GuUport
11,265
17,085
12,362
28,335
20,971
15.445
18.046
16,534
11.523
22,477
24,854
31,477
38,736
30,954
12.023
48.370
32.295
12.541
22.207
21.853
13.132
14.684
10.164
12,376
18.374
19.386
50.889
11.482
12.408
15.134
35,710
14,396
70,745
33.485
48.812
43.787
272.235
11.739
24.587
10.399
20.197
13.882
11.041
19,248
24.704
17.531
25,399
20,075
11.077
19.717
23,799
11,820
45,226
18,906
40,775
534
931
517
1,835
902
520
302
805
531
917
821
1.868
982
2.016
295
1.833
1.839
588
733
792
427
430
255
474
765
673
1.692
405
465
673
1.722
809
3.341
2.166
3,118
2,212
22,144
733
425
304
967
617
262
1,168
1,086
975
1.389
644
190
872
1.576
416
4.157
1.621
3,990
535
938
517
1,841
908
525
302
807
535
936
836
1,871
985
2.023
297
1.841
1.843
591
736
795
427
433
255
475
767
678
' 1.715
405
465
674
1.738
814
3.346
2.179
3.130
2.218
22.434
733
425
306
974
619
262
1.169
1.090
982
1,394
650
190
875
1,583
416
4,182
1,626
4,013
3
1
12
1
8
3
13
6
13
5
21
5
269
4
3
I
3
I
34
19
17
19
12
19
780
2
5
2
9
1
1
16
4
3
1
6
2
36
23
5
59
22
129
12
25
II
30
8
19
2
27
8
38
21
34
20
46
8
36
25
22
10
30
9
II
2
14
35
13
35
10
10
II
86
18
68
21
81
32
1,696
20
2
6
29
14
I
17
21
29
13
16
49
25
209
46
170
91
258
260
105
66
161
60
167
162
288
179
276
40
356
236
81
143
155
81
34
9
69
167
95
333
47
95
108
341
153
486
327
480
432
5,075
99
73
44
181
99
35
155
263
107
108
180
54
384
319
115
1,690
501
1,033
430
665
381
1,412
556
357
209
521
441
615
603
1,473
738
1.523
237
1.342
1.496
438
522
545
318
338
233
350
501
532
1.205
307
314
496
1,114
528
2.614
1.659
2.358
1.606
11.990
554
333
235
673
466
215
888
728
778
1,208
411
97
375
1,109
243
2,188
994
2,287
43
62
29
113
68
35
23
75
19
82
32
58
41
143
8
84
74
39
42
46
18
42
10
36
58
31
103
39
35
54
132
85
143
134
165
117
2,316
54
12
17
72
36
9
90
69
47
55
28
14
38
67
51
132
61
286
93
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued
City by Suie
Population
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
roan-
slaughter
Forcible
tape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
MISSISSIPPI— ContiiiiMd
Hattiesburg
Jackson
Laurel
Long Beach
McComb
Meridian
Moss Point
Natchez
Ocean Springs
Pascagoula
Picayune
Ridgeland
Starkville
Tupelo
Vicksburg
MISSOURI
Arnold
Ballwin
Bellefontaine Neighbors
Belton
Berkeley
Blue Springs
Bridgeton
Cape Girardeau
Carthage
Chesterfield
Clayton
Columbia
Crestwood
Creve Coeur
Excelsior Springs
Fannington
Ferguson
Florissant
Fulton
Gladstone
Grandview
Hannibal
Hazelwood
Independence
Ironton
JefTerson City
Jennings
Joplin
Kansas City
KirksviUe
Kjrkwood
Lees Summit
Marshall
Maryland Heights
MaryviUe
Mexico
Moberly
O'Fallon
Overland
41,882
196,637
18,827
15,804
11,591
41,036
17,837
19,460
14,658
25,899
10,633
11,714
18,458
30,685
20,908
18,828
21,816
10,922
18,150
12,450
40,153
17,779
34,438
10,747
37,991
13,874
69,101
11,234
12,304
10,354
11,598
22,286
51,206
10,033
26,243
24,967
18,004
15,324
112,301
10,726
35,481
15,905
40,961
434,711
17,152
27,291
46,418
12,711
25,407
10,663
11,290
12,839
18,698
17,987
3,412
21,559
2,107
680
1,028
1,951
644
1.848
742
2,708
610
819
1,417
1,376
1,548
862
498
422
673
821
1,776
1,247
2,185
545
1,043
697
4,469
465
491
500
592
731
1,518
431
980
1,776
855
724
7,194
41
1,710
1,270
3,895
56,308
734
799
1,335
332
1,229
331
230
582
801
1,081
3,420
21,695
2,112
681
1,031
1,956
660
1,854
744
2,721
610
819
1,418
1,376
1,548
867
499
422
676
832
1,781
1,248
2,188
546
1,045
702
4,491
465
491
503
593
736
1,525
431
998
1,789
863
729
7,256
41
1,722
1,286
3,926
56,817
735
801
1,358
334
1,239
331
232
589
803
1,083
1
1
1
121
34
184
9
5
3
11
15
22
3
23
4
1
11
16
23
4
3
517
5
2
9
4
4
61
780
35
12
23
56
IS
47
5
89
7
5
7
5
3
41
21
36
19
6
10
14
75
15
4
2
1
33
29
7
16
52
4
20
104
18
34
26
4,492
1
6
10
1
15
271
691
25
14
66
37
52
101
27
166
45
10
221
10
151
20
11
1
52
66
58
53
63
13
49
27
248
3
10
20
69
31
72
67
66
58
56
13
388
3
74
29
73
5,957
8
37
48
2
52
4
11
29
30
47
848
7,469
437
228
361
525
240
394
114
628
113
88
241
238
462
117
86
37
83
208
291
138
286
106
186
149
741
72
71
57
24
210
294
78
203
399
173
127
1,407
8
256
214
748
11,640
128
162
284
68
212
39
49
99
94
163
2,086
10,840
1,515
396
536
1,137
290
1,219
555
1,677
415
677
880
1,002
826
673
378
322
479
379
1,299
914
1,744
400
762
450
3,242
354
356
389
481
373
1,031
260
594
1,066
581
498
4,450
29
1,238
806
2,854
23.229
552
551
884
246
874
275
157
425
638
751
109
1,551
79
25
38
177
32
62
35
122
25
34
45
114
60
43
15
56
51
110
103
100
62
17
32
56
142
21
47
28
16
79
86
13
94
187
36
62
817
1
100
182
190
10,352
40
40
100
II
70
11
11
15
29
68
94
Table 6.— Nnmber of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990— Continued
City by SUIe
Population
Crime
Index
total
Modified'
Crime
Index
total
Murder
and non-
aegllgent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
MISSOURI— Con tiniied
Poplar Bluff
Raytown
Richmond Heights
Rolla
St. Ann
St. Charles
St. Joseph
St. Louis
St. Peters
Sedalia
Sikeston
Springfield
University City
Warrensburg
Washington
Webster Grove
MONTANA
Billings
Great Falls
Havre
Helena
Kalispell
NEBRASKA
Beatrice
Bellevue
Columbus
Fremont
Grand Island
Hastings
Kearney
Lincoln
Norfolk
North Platte
Omaha
Papillion
Scottsbluff
NEVADA
Boulder City
Henderson
Las Vegas Metropolitan Police
Department Jurisdiction
Reno
Sparks
NEW HAMPSHIRE
Bedford
Berlin
Claremont
Concord
Derry
Dover
Durham
Exeter
16,996
30,601
10,448
14,090
14,489
54,555
71,852
396,685
45,779
19,800
17,641
140,494
40,087
15,244
10,704
22,987
81,151
55,097
10,201
24,569
11,917
12,354
30.982
19,480
23,680
39,386
22,837
24,396
191,972
21,476
22,605
335,795
10,372
13,711
12,567
64,942
616,243
133,850
53,367
12,563
11,824
1 3,902
36,006
29,603
25,042
11,818
12,481
1,667
1.001
840
656
1,081
1,956
4,367
58,199
1.940
1.084
1.172
12.549
2,725
531
465
536
5,861
5,301
650
1.956
1.466
695
1.413
599
989
2.628
884
1.166
13.457
1.065
1.494
23.673
205
1.084
243
2.610
43.944
11.558
3,853
487
104
721
2,152
1,024
1,049
280
333
1,671
1.005
845
658
1.081
1.961
4,397
58,886
1.945
1.090
1,174
12,640
2,743
539
466
542
5,881
5,337
652
1,965
1.472
697
1,413
600
996
2,628
892
1,173
13,499
1.068
1,502
23.862
206
1,085
244
2,627
44,383
11,642
488
104
721
2,160
1,052
1,055
281
338
4
4
177
7
2
4
3
1
19
16
331
6
4
6
58
15
2
11
3
9
99
3
7
217
2
6
52
371
143
68
13
37
18
9
13
41
26
4,708
17
9
30
139
110
4
2
10
3
3
7
3
4
111
3
6
604
2,229
370
73
95
39
29
II
19
101
514
8,466
44
61
39
367
147
11
70
37
10
102
7
108
24
17
5
23
26
13
24
728
75
46
2,307
7
53
9
68
1.831
537
169
277
168
90
118
77
349
908
11.531
250
189
218
2.354
637
110
55
98
1.089
673
32
217
122
100
199
74
123
540
98
159
2,148
116
223
4,190
21
112
76
696
10,176
1,812
623
2
141
316
2
21
76
9
96
565
20
336
1,631
10
270
622
12
77
906
6
33
229
5
57
242
1,223
660
650
497
837
1,339
2,696
24,564
1.566
777
829
9.193
1,445
375
322
352
4,304
4,234
581
1,546
1.240
567
1.133
499
812
1.949
737
928
9.943
830
1.179
14.997
169
876
137
1.478
24,009
7.961
2.718
49
93
49
18
132
103
203
!.422
57
44
48
431
369
28
16
38
369
201
26
69
69
202
95
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued
City by Suie
Population
Cnme
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
NEW HAMPSHIRE— Continiied
Goffstown
Hampton
Hudson
Keene
Laconia
Lebanon
Londonderry
Manchester
Merrimack
Milford
Nashua
Portsmouth
Rochester
Salem
Somersworth
NEW JERSEY
Aberdeen Township
Asbury Park
Atlantic City
Bamegat Township
Bayonne
Belleville
Bellmawr
Bergenfleld
Berkeley Heights
Berkeley Township
Bernards Township
Bloomfleld
Branchburg Township
Brick Township
Bridgeton
Bridgewater Township
Brigantine
Burlington Township
Camden
Carteret
Cedar Grove Township
Cherry Hill
Cinnaminson Township
Clark
Cliffside Park
Clifton
Qinton Township
CoUingswood
Cranford Township
Delran Township
Denville Township
Deptford Township
Dover
Dover Township
EXumont
East Brunswick Township
East Orange
East Windsor Township
Eatontown
14,621
12,278
19,530
22,430
15,743
12,183
19,781
99,567
22,156
11,795
79,662
25,925
26,630
25,746
11,249
17,038
16,799
37,986
12,235
61,444
34,213
12,603
24,458
11,980
37,319
17,199
45.061
10,888
66,473
18,942
32,509
11,354
12,454
87,492
19,025
12,053
69,348
14,583
14,629
20,393
71,742
10,816
15,289
22.633
13,178
13,812
24,137
15,115
76,371
17.187
43,548
73,552
22,353
13,800
397
881
549
1,226
811
718
615
7,427
376
497
3,355
1,480
1,453
1,455
605
616
1,794
14,496
323
2,489
1,961
359
670
148
686
336
2,663
231
2,032
1,761
910
593
695
13,988
616
566
3,673
446
379
553
3,737
173
709
550
430
332
1,569
730
3,714
401
1,862
8,486
544
969
400
885
553
1,239
834
719
633
7,497
385
501
3,376
1,487
1,458
1.457
608
624
1.801
14,610
330
2,504
1,974
361
671
148
713
336
2,673
233
2,045
1,780
912
595
701
14,405
626
579
3,685
449
379
554
3,739
176
714
553
431
332
1,596
730
3,743
402
1,870
8,576
544
971
44
16
2
5
16
138
15
7
6
5
3
3
6
6
2
3
116
4
1
17
7
13
21
3
9
93
662
3
98
64
3
10
8
3
101
3
12
80
II
5
10
1,684
29
7
73
14
2
9
110
20
7
41
1
14
1,206
5
12
30
131
654
24
222
111
21
16
21
12
75
9
72
240
10
43
42
1,196
28
48
64
15
7
15
80
4
31
12
14
29
52
31
86
4
43
687
12
22
87
229
153
146
219
86
102
1,887
65
71
483'
259
181
205
94
131
338
1,401
61
487
270
12
108
29
188
67
420
52
443
389
176
115
108
3,642
150
119
606
113
27
138
569
34
140
127
63
II
327
III
788
85
256
2,053
70
136
273
565
340
940
480
585
452
4,762
278
349
2,476
1,078
1,168
921
486
377
1,007
11,174
224
1,302
969
277
484
109
441
225
1,293
159
1,385
967
620
388
466
4,293
301
350
2,291
242
288
304
2,240
127
397
347
281
269
912
489
2,560
280
1,373
2,040
412
714
10
76
42
41
64
30
47
581
22
19
326
87
57
275
16
52
184
522
9
375
541
44
50
10
24
27
770
8
114
65
91
37
53
2,991
91
34
630
57
55
85
726
8
120
56
63
21
256
88
218
29
169
2,398
40
85
96
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued
City by Sute
Population
Crime
Index
total
Modified'
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
NEW JERSEY— Condnned
Edison Township
Egg Harbor Towmship
Elizabeth
Elmwood Park
Englewood
Evesham Township
Ewing Township
Fair Lawn
Fairview
Florence Township
Fort Lee
Franklin Township (Gloucester County)
Franklin Township (Somerset County)
Freehold
Freehold Township
Galloway Township
Garfield
Glassboro
Glen Rock
Gloucester City
Gloucester Township
Hackensack
Haddonfleld
Haddon Township
Hamilton Township (Atlantic County)
Hamilton Township (Mercer Coimty) .
Hammonton
Hanover Township
Harrison
Hasbrouck Heights
Hawthorne
Hazlet Township
Highland Park
Hillsborough Township
Hillside Township
Hoboken
Holmdel Township
Hopatcong
Hopewell Township
Howell Township
Irvington
Jackson Township
JefTerson Township
Jersey City
Keansburg
Kearney
Lacey Township
Lakewood
Lawrence Tovraship
Lincoln Park
Linden
Lindenwold
Little Egg Harbor Township
Little Falls Township
Livingston
Lodi
Long Branch
88,680
24,544
110,002
17,623
24,850
35,309
34,185
30,548
10,733
10.266
31,997
14,482
42,780
10,742
24,710
23,330
26,727
15,614
10,883
12,649
53,797
37,049
11.628
14,837
16,012
86.553
12,208
11,538
13,425
11,488
17,084
21,976
13,279
28,808
21,044
33,397
11,532
15,586
11,590
38,987
61.018
33,233
17.825
228,537
11.069
34,874
22,141
45.048
25,787
10.978
36,701
18,734
13,333
11,294
26.609
22,355
28.658 1
3,644
1,700
11,111
1,143
1,583
694
1,962
785
386
289
1,103
368
1,785
811
859
850
680
912
192
359
2,238
2,493
221
576
1,164
2,768
495
270
670
467
412
402
456
452
1,671
2,481
242
308
157
945
7,701
1,456
376
20,970
367
2,693
540
2,382
2,148
213
2,314
871
538
725
1,218
788
2,478
3,670
1,717
11,153
1,145
1,589
707
1.984
786
387
305
1,103
379
1,802
815
865
855
688
918
194
360
2,256
2,497
221
578
1,181
2.780
500
271
672
468
412
405
460
459
1,675
2,495
242
308
158
954
7,737
1,465
380
21,034
368
2,699
552
2,403
2,149
213
2,326
885
541
731
1,222
792
2,497
114
7
12
50
26
1,164
19
68
4
27
21
5
4
34
6
30
34
9
10
21
1
5
41
73
6
6
13
78
15
3
36
6
8
14
5
1
119
764
5
3
2,400
3
80
87
29
1
123
30
92
89
78
484
10
81
7
37
10
7
11
31
28
60
58
21
29
17
54
1
19
115
57
4
11
89
51
30
4
23
1
12
34
16
25
130
174
11
15
4
27
732
42
10
1,748
64
182
16
110
30
6
108
70
36
20
15
10
205
674
357
1,893
112
393
134
327
108
88
56
177
111
403
159
138
214
106
181
37
59
371
238
47
93
232
491
94
33
49
126
79
91
71
128
308
476
44
67
43
188
1,689
209
124
4,632
64
402
71
489
254
29
343
175
109
169
85
105
671
2,308
1,106
4,292
810
846
480
1,207
558
221
198
690
174
1.095
519
621
545
406
596
139
228
1.449
1,721
152
415
734
1,628
322
199
285
259
235
232
333
274
659
1,267
178
206
99
646
1,937
1,146
210
7,018
210
1,536
427
1,431
1,431
165
1,109
422
379
391
920
493
1,291
516
117
3,214
188
192
66
358
87
65
18
169
42
195
33
68
48
140
48
14
46
242
397
12
51
515
32
29
275
74
76
30
31
23
450
488
7
16
11
72
2,517
54
29
5.030
18
480
26
232
402
12
621
167
13
137
196
171
209
97
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued
City by Stale
Population
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
NEW JERSEY— Continued
Lower Township
Lyndburst Township
Madison
Mahwah Township
Manalapan Township
Manchester Township
Mantua Township
ManviUe
Maple Shade Township
Maplewood Township
Marlboro
Medford Township
Metuchen
Middlesex
Middle Township
Middletown Township
Millbum Township
MiUville
Monroe Township (Gloucester County)
Monroe Township (Middlesex County)
Montclair
Montville Township
Moorestown Township
Morristown
Morris Township
Mount Holly
Mount Laurel Township
Mount Olive Township
Neptune Township
Newark
New Brunswick
New Milford
New Providence
North ArUngton
North Bergen Township
North Brunswick Township
North Plainfield
Nutley
Oakland
Ocean City
Ocean Township
Old Bridge
Orange
Palisades Park
Paramus
Parsippany-Troy Hills Township
Passaic
Paterson
Pemberton Township
Pennsauken
Pennsville Township
Pequannock Township
Perth Amboy
Phillipsburg
Piscataway Township
Plainfield
Ptainsboro Township
20,820
18,262
15,850
17,905
26,716
35,976
10,074
10,567
19,211
21,652
27,974
20,526
12,804
13,055
14,771
68,183
18,630
25,992
26,703
22,255
37,729
15,600
16,116
16,189
19,952
10,639
30,270
21,282
28,148
275,221
41,711
15,990
11,439
13,790
48,414
31,287
18,820
27,099
11,997
15,512
25,058
56,475
29,925
14,536
25,067
48,478
58,041
140,891
31,342
34,738
13,794
12,844
41,967
15,757
47,089
46,567
14,213
695
921
303
579
458
472
331
174
782
1,124
574
486
499
405
697
1,187
808
1,498
840
405
2,272
396
633
1,541
422
808
809
484
2,222
44,739
4,099
357
130
480
2,980
1,410
1,079
922
182
1,687
1,276
1,635
3,422
362
3,653
1,693
4,709
12,649
939
2,060
343
321
2,707
382
1,760
3,947
549
703
925
304
582
461
498
337
174
787
1,124
589
507
503
410
703
1,190
808
1,519
854
408
2,280
401
635
1,545
424
820
810
489
2,233
44,971
4,103
358
132
481
2,983
1,417
1,084
940
182
1,689
1,280
1,650
3,434
362
3,683
1,711
4,717
12,698
952
2,082
349
324
2,739
383
1,766
3,958
552
I
112
4
I
I
5
7
2
2
7
3
I
14
3
2
10
I
3
9
4
14
3
5
12
326
25
19
62
2
50
16
5
63
6,021
229
II
II
9
376
5
26
19
619
1,295
21
110
1
2
124
I
37
506
5
31
14
6
13
23
28
10
8
43
50
32
15
6
22
20
46
3
124
50
37
125
4
41
117
II
119
24
34
154
4,225
154
21
1
14
115
53
51
39
5
34
29
104
239
3
53
43
254
1,257
127
62
5
4
146
17
149
187
13
135
107
73
79
100
79
18
163
235
124
102
117
S8
157
194
89
321
217
98
481
81
95
239
70
135
180
127
526
6,741
826
62
33
55
694
281
162
179
34
363
267
326
814
127
224
364
758
2,654
261
S69
31
49
622
84
350
973
113
488
563
198
438
322
318
226
143
357
557
373
340
325
289
462
856
600
882
483
239
1,199
270
423
1,021
297
438
503
278
1,338
12,537
2,261
2S«
80
306
1,307
883
699
514
138
1,250
889
1,039
932
163
2,613
1,066
1,854
5,318
430
672
289
237
1,454
233
1,034
1,519
359
25
222
26
46
24
17
13
3
207
227
36
19
42
31
46
83
110
90
70
27
383
39
S2
93
38
47
83
35
128
14,777
600
18
II
95
793
159
124
169
5
24
74
152
1,025
63
733
190
1,203
2,037
85
630
17
28
336
46
179
736
55
98
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued
Cily by Stale
Population
Crime
Index
total
Modified'
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
thcfl
Motor
vehicle
theft
NEW JERSEY— Continued
PleasantviUe
Point Pleasant
Pompton Lakes
Princeton
Princeton Township
Rahway
Ramsey
Randolph Township
Raritan Township
Readington Township
Red Bank
Ridgefield Park
Ridgewood
Ringwood
River Edge
Rockaway Township
Roselle
Roselle Park
Roxbury Township
Rutherford
Saddle Brook Township
SayrevUle
Scotch Plains Township
Secaucus
Somers Point
Somerville
South Brunswick Township
South Orange
South Plainfield
South River
Sparta Township
Springfield
Stafford Township
Summit
Teaneck Township
Tenafly
Tinton Falls
Totowa
Trenton
Union City
Union Township
Ventnor City
Vernon Township
Verona
Vineland
Voorhees Township
Wallington
Wall Township
Warren Township
Washington Township (Gloucester
County)
Washington Township (Morris County)
Waterford Township
Wayne Township
Weehawken Township
West Caldwell
West Deptford Township
16,027
18,177
10,539
12,016
13,198
25,325
13,228
19,974
15,616
13,400
10,636
12,454
24,152
12,623
10,603
19,572
20,314
12,805
20,429
17,790
13,296
34,986
21,160
14,061
11,216
11,632
25,792
16,390
20,489
13,692
15,157
13,420
13,325
19,757
37,825
13,326
12,361
10,177
88.675
58,012
50,024
11,005
21,211
13,597
54,780
24,559
10,828
20,244
10,830
41,960
15,592
10,940
47,025
12,385
10,422
19,380
1.376
768
287
775
263
1,196
507
508
376
189
628
235
294
164
232
1.129
919
399
537
522
712
1,094
538
1,568
449
574
715
1.132
1,035
442
251
411
442
634
1,669
235
460
959
9,172
4,043
3,157
715
574
293
4,382
1,165
398
425
216
1,242
222
307
3.551
1.045
252
590
1.384
770
289
776
263
1,196
508
512
379
196
629
235
294
164
234
1,133
921
402
539
524
712
1,109
539
1,571
454
574
723
1,134
1.043
444
251
413
446
636
1.683
241
464
964
9.195
4.046
3.158
716
576
297
4.412
1,173
400
428
218
1,245
224
311
3.558
1,054
255
594
117
9
11
4
II
694
264
131
9
1
6
210
28
4
I
2
16
167
12
5
5
12
37
19
12
6
6
28
10
20
14
5
7
31
9
13
66
9
9
21
20
17
24
19
42
10
9
20
8
134
3
16
11
929
150
45
36
15
II
222
34
6
10
6
41
7
11
55
53
4
16
360
151
34
170
68
242
58
69
85
51
93
23
71
34
66
110
151
69
109
100
110
207
105
101
128
93
161
221
115
71
62
37
105
174
326
99
99
72
1.874
1.010
423
178
82
54
888
146
91
80
47
350
43
86
260
239
24
74
692
588
226
565
169
682
385
395
272
117
464
167
184
114
144
912
447
219
370
320
504
621
341
1.071
277
395
461
496
760
299
172
231
291
369
1.000
123
297
669
3.061
1.594
1,576
469
459
180
2,770
752
229
308
148
725
160
179
2,604
554
182
439
79
14
16
27
4
175
42
23
9
15
32
33
18
2
13
85
224
95
37
85
83
177
63
371
20
55
67
335
101
15
6
125
23
72
160
10
37
196
2,476
1.012
971
18
17
41
255
202
68
20
13
105
12
26
603
173
36
53
99
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued
City by Sute
Population
Crime
Index
total
Modified*
Clime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
NEW JERSEY— ContiiiiNd
Westfield
West Milford Township
West New York
West Oiange
West Paterson
West Windsor Township
Westwood
Willingboro Township
Winslow Township
Woodbridge Township
Woodbiiry
WyckofT
NEW MEXICO
Alamogordo
Albuquerque
Artesia
Carlsbad
Qovis
Deming
Farmington
Gallup
Hobbs
Las Crutxs
Los Alamos
Portales
Rio Rancho
Silver City
NEW YORK
Albany
Amherst Town
Amsterdam
Auburn
Batavia
Beacon
Bedford Town
Bethlehem Town
Binghamton
Blooming Grove Town
Brighton Town
Buffalo
Camillus Town And Village
Canandaigua
Carmel Town
Cheektowaga Town
Cicero Town
Clarkstown Town
Clay Town
Cohoes
Colonic Town
Coming
Cortland
Cortlandt Town
Depew Village
Dewitt Town
Dunkirk
28,870
25,430
38,125
39,103
10,982
16,021
10,446
36,291
30,087
93,086
10,904
15,372
27,596
384,736
10,610
24,952
30,954
10,970
33,997
19,154
29,115
62,126
18,115
10,690
32,505
10,683
101,082
106,128
20,714
31,258
16,310
13,243
16,906
27,552
53,008
11,767
34,455
328.123
23,625
10,725
28,816
93,516
23,624
76,545
54,322
16,825
72,161
11,938
19,801
28,369
17,673
21,805
13,989
797
631
2,805
1,734
673
519
269
1,393
1,087
5,115
592
234
1,393
38,721
440
2,000
1,785
806
2,786
2,666
1,990
5,982
378
413
1,083
827
6,635
3,697
435
1,330
689
513
383
569
2,893
210
1,123
29,181
329
447
536
4,177
234
2,452
708
592
3,216
800
1,108
385
677
1,145
783
801
642
2,823
1,740
674
522
270
1,398
1,103
5,124
595
236
1,406
38,903
440
2,004
1,787
810
2,793
2,668
1,993
6,005
383
415
1,086
831
6,695
3,714
435
693
514
388
573
218
29,864
329
449
545
234
593
3,225
800
1,111
388
681
1,151
796
2
222
3
4
II
I
27
15
20
46
6
4
2
10
355
1
5
2
108
65
17
1
2
39
23
67
16
1,030
2
17
16
2
38
26
19
88
2
386
57
3
14
9
22
I
2
46
I
17
2,172
2
1
1
73
2
28
3
4
19
1
8
4
9
II
144
41
14
12
11
88
89
152
26
80
3,835
14
88
155
32
148
169
196
262
39
47
150
78
575
190
9
21
6
102
14
50
25
2,711
3
9
23
220
1
115
27
131
34
50
9
15
148
202
576
330
136
84
52
325
284
609
104
54
290
9,497
65
497
377
197
501
365
460
1,393
46
125
291
150
1,884
510
164
273
107
164
66
141
349
67
191
8,163
45
44
114
633
31
351
102
132
455
82
215
40
88
164
137
582
372
1,309
910
361
343
192
830
569
3,170
409
166
958
22,130
350
1,344
1,171
537
1,928
1,975
1,244
3,827
276
230
598
557
3,264
2.641
244
1,002
558
191
267
366
2,336
126
850
12,203
275
384
358
2,632
197
1,784
565
290
2,582
643
840
310
497
938
618
52
40
663
381
141
79
12
102
115
1,098
46
13
46
1,973
6
49
53
36
141
115
48
358
8
7
35
28
435
290
12
6
8
30
34
7
111
10
57
3,540
4
8
38
607
3
166
11
30
112
24
26
15
36
26
8
100
Table 6.— Number of Offenses Known to the PoUce, Cities and Towns 10,000 and over in Population, 1990— Continued
City by State
Population
Crime
Index
total
Modified*
Cnme
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
NEW YORK— ContiiiiKd
East Aurora - Aurora Town
Eastchester Town
East Fishldll Town ..
East Hampton Town
Elmira
Endlcott Village
Evans Town
FishkiU Town
Floral Park Village
Fredonia Village ...
Freeport Village ...
Fulton
Garden City Village
Gates Town
Geddes Town
Geneva
Glen Cove
Glens Falls
Glenville Town ...
GloversviUe
Greece Town
Greenburgh Town
Guilderland Town
Hamburg Town
Hamburg Village .
Harrison Town ...
Haverstraw Town
Hempstead Village
Hyde Park Town .
Irondequoit Town
Ithaca
Jamestown
Johnson City Village
Kenmore Village
Kent Town
Kingston
Lackawanna
Lancaster Town
Lancaster Village
Lockport
Long Beach
Lynbrook Village
Mamaroneck Town
Mamaroneck Village
Manlius Town
Massena Village
Middletovm
Mount Pleasant Town
Mount Vernon
Newburgh
Newburgh Town
New Castle Town
New Hartford Town And Village
New Rochelle
New Windsor Town
New York
Niagara Falls
13,433
18,537
22,101
13,990
33,724
13,531
15,247
15,698
15,947
10,436
39,894
12,929
21,686
28,583
10,960
14,143
24,149
15,023
21,412
16,656
90,106
40,579
27,245
40,393
10,442
23,308
23,274
49,453
21.230
52,377
29,541
34,681
16,890
17,180
13,183
23,095
20,585
344
462
329
668
2,265
719
471
238
269
311
1,711
776
623
1,302
391
346
513
967
441
884
2,756
1,883
497
2,002
286
613
658
2,705
711
2,834
1,952
1,918
1,440
457
290
1,571
1,047
13,949
385
11,940
248
24,426
1,589
33,510
1,128
19,208
425
11,407
345
17,325
636
30,656
750
11,719
218
24,160
1,110
25,054
510
67,153
5,057
26,454
2,494
24,058
1,362
16,648
217
19,718
646
67,265
2,734
22,937
780
7,322,564
710,222
61,840
4,099
347
462
329
668
2,274
721
477
238
269
1,721
1,306
392
967
887
1,892
499
661
2,721
712
1,956
306
1,571
1,054
389
1,598
431
347
636
218
1,117
5,106
2,513
217
646
790
716,403
4,157
2,245
2
15
1
3,126
49
2
4
3
112
12
25
5
3
8
7
4
6
28
58
6
15
3
2
2
224
2
55
17
19
7
9
36
38
3
I
23
44
13
5
15
1
I
19
5
429
268
28
1
189
7
100,280
122
6
58
36
47
24
8
23
189
15
9
9
6
5
57
249
34
13
13
60
33
188
25
7
12
299
152
12
53
33
70
30
31
207
245
28
18
241
70
10
5
13
12
25
48
13
533
402
12
12
25
107
74
68,891
276
59
38
100
228
404
81
116
24
69
34
288
155
89
212
41
37
81
122
131
143
286
270
88
320
44
79
121
516
59
310
365
382
185
73
87
229
200
78
68
326
183
62
68
123
126
73
195
108
1,026
789
169
43
78
576
143
119,937
1,009
245
346
198
402
1,647
571
286
177
150
244
863
577
420
974
333
294
283
570
256
691
2,225
1,274
348
1,305
204
447
460
1,122
479
2,267
1,460
1,423
997
326
154
1,026
452
247
149
921
623
244
208
393
600
101
833
335
1,684
886
1,066
148
524
1,348
511
268,620
2,248
25
63
19
32
102
27
20
11
38
6
245
27
93
81
6
82
9
12
31
188
214
20
167
10
78
59
523
18
181
53
54
168
18
17
63
109
28
II
64
199
96
57
92
9
18
9
49
1,343
118
82
14
18
498
44
147,123
393
101
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued
City by Sute
Population
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
NEW YORK— ContiniKd
Niskayuna Town
North Castle Town
North Greenbusb Town
North Tonawanda
Ogden Town
Ogdensburg
Olean
Oneida
Oneonta
Orangetown Town
Orchard Park Town
Oswego
Plattsburgh
Port Chester Village
Port Washington Village
Potsdam Village
Poughkeepsie
Pougbkeepsie Town
Riverbead Town
Rochester
Rockville Centre Village
Rome
Rotterdam Town
Rye
Saratoga Springs
Schenectady
Schodack Town
Shawangunk Town
Southampton Town
Spring Valley Village
Stony Point Town
SufTem ViUage
Syracuse
Tonawanda
Tonawanda Town
Troy
Utica
Vestal Town
WaUkill Town
Warwick Town
Watertown
Webster Town And Village
West Seneca Town
White Plains
Yonkers
Yorktown Town
NORTH CAROUNA
Asheville
Boone
Burlington
Carrboro
Gary
Charlotte
Concord
Durham
Eden
19,048
10,061
10,891
34,989
16,912
13,521
16,946
10,850
13,954
34,835
24,632
19,195
21,255
24,728
14,776
10,251
28,844
39,282
23,01 1
231,636
24,727
44,350
28,395
14,936
25,001
65,566
10,348
10,081
37,124
21,802
12.814
11,055
163,860
17,284
65,284
54,269
68,637
26,733
23,016
15,504
29,429
31,639
47,830
48,718
188,082
33,467
61,607
12,915
39,498
11,553
43,858
395,934
27,347
136,611
15,238
754
235
203
1,072
336
510
916
635
399
691
888
739
719
1,272
524
499
2,366
2,175
1,054
25,570
908
1,144
1,007
376
1,880
3,370
245
54
1,841
1,500
164
379
11,314
486
1,697
2,677
3,361
313
602
195
1,634
704
1,524
3,577
10,644
814
6,216
612
2,817
842
1,443
49,862
1,487
12.657
1,036
236
203
1,086
639
404
691
900
725
501
2,379
2,175
1,056
25.916
1,153
1,017
376
1,886
3,404
247
54
1,510
164
381
11,416
3,372
611
200
1,648
705
1,552
3,578
10,733
818
6,232
615
2,822
844
1,450
50,270
1,495
12,690
1,043
40
14
17
6
3
176
4
10
2
1
118
3
4
25
15
1
34
384
2
79
2
1
9
4
2
5
2
4
6
3
2
4
45
10
3
214
32
34
1,254
26
6
9
3
15
129
4
I
18
78
I
6
494
3
20
65
136
2
2
6
2
14
109
829
148
3
50
10
17
3,208
29
431
6
51
51
14
18
142
79
165
1,395
19
35
9
1
258
76
II
9
203
67
2
14
774
42
131
56
50
3
14
5
108
2
81
III
373
215
29
362
68
52
5,434
130
480
108
83
34
56
186
64
104
107
76
75
114
157
125
162
172
73
42
425
173
318
5,805
129
289
150
60
296
1,163
46
22
413
213
36
78
2,999
66
335
840
871
64
94
53
311
91
216
324
1,980
100
1,573
139
418
234
309
10,891
343
3,881
192
596
166
111
802
248
357
766
534
289
469
641
587
467
835
393
430
1,365
1,786
512
14,774
531
747
790
271
1,258
1,700
168
17
1.145
1.029
114
241
6,326
353
1,155
1,551
2,020
233
466
126
1,177
573
1,012
2,764
4,895
653
3,856
417
1,836
481
1,009
27,153
930
7,062
679
21
II
8
56
6
21
28
18
7
37
49
25
30
160
34
6
198
99
22
2.126
199
57
47
41
46
257
13
5
53
99
II
39
589
19
52
140
263
11
26
8
22
33
195
263
2.506
37
383
24
133,
40
48
2.699
50
701
48
102
Table 6.— Number of Offenses Known to tbe Police, Cities and Towns 10,000 and over in Popnlation, 1990 — Continned
aty by Sute
Population
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Buiglary
Lanxny-
theft
Motor
vehicle
theft
NORTH CAROLINA— Condnoed
Elizabeth City
FayetteviUe
Garner
Gastonia
Goldsboro
Greensboro
Greenville
Havelock
Henderson
Hickory
High Point
Jacksonville
Kannapolis
Kemersville
Kinston
Lenoir
Lexington
Lumberton
Matthews
Monroe
Morganton
New Bern
Raleigh
Reidsville
Roanoke Rapids
Rocky Mount
Salisbury
Sanford
Shelby
Tarboro
ThomasviUe
Wilmington
WUson
Winston-Salem
NORTH DAKOTA
Bismarck
Dickinson
Fargo
Grand Forks
Jamestown
Mandan
Minot
West Fargo
WiUiston
OHIO
Akron
Alliance
Amherst
Ashland
Ashtabula
Athens
Barberton
Bay Village
Beavercreek
Bedford
14,292
75,695
14,967
54,732
40,709
183.521
44,972
20.268
15,655
28,301
69,496
30,013
29.696
10.836
25.295
14,192
16,581
18,601
13,651
16,127
15,085
17,363
207,951
12,183
15,722
48,997
23,087
14,475
14,669
11,037
15,915
55,530
36,930
143,485
49,256
16,097
74,111
49,425
15,57!
15,177
34,544
12,287
13,131
223,019
23,376
10,332
20,079
21,633
21,265
27,623
17.000
33.626
14,8221
1,093
11,055
768
7,583
4,283
14,332
3.776
521
1.709
3.362
6.793
2,912
1,055
853
1,600
1,401
1,555
2,149
358
1,674
968
2,197
13,844
766
1,185
4.817
2,167
2,025
1,362
776
1,508
6,593
4,168
16,360
2,085
463
3.606
2.640
539
651
1,586
437
512
17,496
2,107
436
592
1,857
688
1,575
143
1,026
590
1,101
11.118
770
7,661
4,299
14,428
3,784
525
1,718
3.379
6,830
2,927
1,061
864
1,620
1,411
1,572
2,167
358
1,676
971
2,214
13,919
774
1,186
4,839
2,178
2.035
1.373
780
1,511
6,654
4,199
16,537
2,090
464
3,618
2,640
540
651
1,586
439
512
17,737
2,143
436
594
1,877
692
1,582
145
1,056
590
16
18
114
22
2
I
9
36
19
4
2
22
7
15
6
1
9
4
II
96
1
4
35
10
7
10
4
4
57
20
169
193
9
2
32
418
15
270
141
488
126
3
36
117
140
97
31
16
110
23
25
56
5
33
14
82
388
28
9
140
46
26
29
14
23
192
151
796
773
75
II
2
18
3
38
2
7
178
1,213
34
613
419
998
293
31
175
160
746
155
141
42
196
98
122
116
14
165
33
205
671
64
28
299
97
188
86
88
78
392
380
1.235
1,600
234
4
26
40
168
4
26
33
214
2,626
114
1,946
952
2,767
884
140
417
817
1,823
682
261
206
574
275
461
469
93
392
172
593
2,856
137
240
1,211
540
512
360
144
365
1,741
1,060
4,606
298
51
478
302
57
24
192
73
29
3,513
341
27
52
530
66
246
36
207
59
617
6,133
571
4,390
2,543
9,161
2,298
329
992
2,066
3,734
1,838
555
551
594
936
859
1,390
234
1,015
693
1.234
9.021
504
851
2.926
1,394
1,223
819
503
964
3,857
2,374
8,655
1,658
391
2,837
2,188
439
606
1,313
331
448
9,730
1,315
374
514
1.190
545
1.023
91
740
349
47
552
33
343
196
784
148
16
86
186
308
116
61
36
98
61
72
110
11
54
52
66
788
27
52
191
77
65
52
23
71
349
173
875
99
10
182
110
30
18
68
17
30
1,669
130
18
24
72
26
93
141
103
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued
City by Sute
Population
Crime
Index
total
Modified'
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
OHIO— Contiiiued
Bedford Heights
Berea
Bexley
Blue Ash
Boardman Township
Bowling Green
Brecksville
Broadview Heights
Brook Park
Bucyrus
Cambridge
CenterviUe
Chillicothe
Cincinnati
Cleveland
Cleveland Heights
Coliunbus
Conneaut
Copley
Cuyahoga Falls
Dayton
Deflance
Delaware
Delhi Township
Dover
Dublin
East Qeveland
Eastlake
Elyria
Englewood
Euclid
Fairbom
Fairfield
Forest Park
Franklin
Fremont
Gahanna
Garfield Heights
Girard
Goshen Township
Greenville
Grove City
Hamilton
HiUiard
Huber Heights
Jackson Township
Kent
Kettering
Lakewood
Lancaster
Lebanon
Liberty Township
Lima
Lorain
Lyndhurst
Madison Township (Lake County)
12,131
19,051
13,088
11,860
41,796
28,176
11,818
12,219
22,865
13,496
11,748
21,082
21,923
364,040
505,616
54,052
632,910
13,241
11,130
48,950
182,044
16,768
20,030
30,250
11,329
16,366
33,096
21.161
56,746
11,432
54,875
31,300
39,729
18,609
11,026
17,648
27,791
31,739
11,304
12,697
12,863
19,661
61,368
11,796
38,696
32,071
28,835
60,569
59,718
34,507
10,453
13,149
45,459
71.245
15,982
17,954
668
659
646
461
2,029
1,485
136
199
951
751
991
658
1,912
27,507
46,085
1,716
62,703
313
573
1,907
20,895
815
961
575
409
688
2,482
770
3,189
510
2,969
1,166
2,282
1,501
584
846
965
1,211
358
310
785
874
4,713
563
1,541
1,837
1,112
2,894
1,481
2,450
552
508
4,378
2,820
220
612
673
663
647
463
2,035
1,494
137
201
955
763
995
663
1,920
28,023
46,984
1,716
63,642
316
581
1,929
816
967
575
410
688
2,525
772
3,206
510
2,976
1,171
2,286
1,502
584
851
971
1,215
359
314
789
874
4,780
577
1,551
1,840
1,126
2,917
1,486
552
513
4,433
2,832
226
616
3
49
168
2
89
47
13
12
388
846
2
647
1
3
13
321
19
7
12
2
20
1,613
4,917
45
3,541
26
1,475
1
15
6
1
4
275
9
112
12
74
15
24
30
3
31
10
69
1
6
15
172
6
16
35
18
33
19
28
7
24
172
100
6
4
5
9
91
26
13
39
2,426
3,259
1
2,745
3
68
103
1,246
10
16
1
7
20
232
14
131
6
48
28
93
9
10
38
13
61
5
6
7
25
620
12
19
45
42
14
21
52
5
21
643
115
2
21
130
127
116
83
254
166
27
23
132
141
98
121
342
5,896
10,198
142
14,828
57
99
205
4,678
108
154
72
40
98
623
119
787
36
396
201
404
89
130
159
206
229
57
72
102
134
1,236
114
174
256
257
558
129
444
72
87
1,128
964
48
151
286
423
434
351
1,497
1,209
91
141
509
487
833
491
1,412
15,458
15,289
1,218
32,387
243
373
1,443
10,155
680
727
475
345
541
699
562
1.874
442
2,021
845
1,626
1,331
416
560
691
602
247
210
638
622
2,293
408
1,250
1,414
724
2,126
1,095
1,782
452
297
2,195
1,405
146
410
175
73
49
15
218
46
16
28
276
17
18
31
84
1,677
11,408
306
8,466
9
24
117
2,973
16
43
18
10
23
602
64
245
11
415
70
124
35
23
52
40
245
48
19
30
70
344
19
75
79
57
147
207
140
15
76
167
183
18
25
104
Table 6.— Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued
City by Slate
Population
Cnme
Index
total
Modined*
Crime
Index
total
Murder
and non>
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
OHIO — Continued
Madison Township (Monlgomery
County)
MansHeld
Maple Heights
Marietta
Marion
Mason
Massillon
Maumee
Mayfield Heights
Mentor
Miamisburg
Miami Township
Middleburg Heights
Middletown
New Philadelphia
Niles
North Canton
North Olmsted
North Ridgeville
North Royalton
Norton
Norwalk
Norwood
Oregon
Parma
Perkins Township
Perrysburg
Perry Township (Stark County) ....
Portsmouth
Randolph Township
Reading
Reynoldsburg
Salem
Sandusky
Seven Hills
Shaker Heights
Sharonville
Sidney
Solon
South Euclid
Springdale
Springfield
Springfleld Township
Steubenville'
Stow
Sylvania
Tallmadge
Tiffin
Toledo
Troy
Union Township (Butler County) ..
Union Township (Clermont County)
University Heights
Urbana
Vandalia
Van Wert
20,605
50,627
27,089
15,026
34,075
11,452
31.007
15,561
19,847
47,358
17,834
22,539
14,702
46,022
15,698
21,128
14,748
34,204
21.564
23,197
11,477
14,731
23,674
18,334
87,876
10,793
12,551
30,307
22,676
13,525
12,038
25,748
12,233
29,764
12,339
30,831
13,153
18,710
18,548
23,866
10,621
70,487
38,509
22,125
27,702
17,301
14,870
18,604
332,943
19,478
39,703
33,368
14,790
11,353
13,882
10,891
1,289
4,916
986
584
2,190
449
1,446
862
503
1,460
1,194
755
631
2,700
648
1,084
314
1,250
364
479
360
474
1,053
1,129
2,614
539
252
1,117
1,762
291
405
1,207
221
2,413
127
1,134
1,048
974
373
502
664
6,963
1,549
773
509
591
302
31,994
803
1,425
2,022
296
616
528
761
1,296
4,939
988
585
2,190
449
1,453
862
506
1,469
1,209
773
636
2,726
651
1,087
314
1,258
367
480
362
477
1,062
1,139
2,649
539
252
1,127
1,786
291
405
1,220
221
2,432
128
1,136
1,050
977
376
507
6,981
1,550
775
512
597
303
32,540
806
1,437
2,029
297
617
529
771
37
422
3
3
15
6
3
2
7
29
126
37
12
30
10
34
10
9
16
13
5
5
51
11
10
2
12
52
1
73
25
9
1
11
17
312
33
26
4
8
9
1
1,748
8
7
18
38
824
11
15
20
21
73
32
11
31
56
12
9
68
46
42
1
13
139
95
13
4
34
15
47
4
35
10
25
11
6
1
1,008
45
23
5
26
2
1,334
14
50
14
14
24
5
33
212
1,073
181
83
476
59
183
119
81
254
169
129
93
557
67
131
47
151
79
82
82
47
217
204
501
40
41
177
511
53
58
157
8
488
28
340
216
163
56
69
46
1,072
260
386
94
70
164
82
6,268
151
319
221
36
81
84
83
844
2,621
583
441
1,560
343
1,056
633
348
1,023
843
574
385
1,865
495
768
241
886
236
338
218
405
737
757
1,536
465
196
724
1,046
202
310
919
188
1,702
81
516
739
742
271
325
569
4,194
1,146
770
623
395
351
206
17,571
612
1,001
1,649
198
479
401
602
148
203
167
19
81
16
80
65
49
129
101
29
139
138
27
129
22
181
39
46
31
10
67
81
420
20
14
56
62
19
26
56
10
99
12
163
53
23
34
89
29
302
52
92
25
31
35
11
4,614
15
45
105
33
21
30
30
See Footnote at end of table.
105
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued
City by Sute
Population
Crime
Index
total
Modified*
Crime
Index
total
Murder
and noo-
negligenl
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
OHIO — ContinDed
Vermilion
Wadswoith
Warren
Warrensville Heights
Washington Court House
West CarroUton
WesterviUe
Westlake
WhitehaU
WicklifTe
WiUoughby
Wilmington
Wooster
Worthington
Xenia
Youngstown
ZanesviUe
OKLAHOMA
Ada
Alius
Ardmore
Bartlesville
Bethany
Broken Arrow
Ctaickasha
Claremore
Del City
Duncan
Durant
Edmond
Elk City
El Reno
Enid
Guthrie
Lawton
McAlesler
Miami
Midwest City
Moore
Muskogee
Mustang
Norman
Oklahoma City
Okmulgee
Owasso
Ponca City
Sand Springs
Sapulpa
Shawnee
Stillwater
Tahlequah
Tulsa
Village
Weatherford
Woodward
Yukon
11,127
15,718
50,793
15,745
12,983
14,403
30,269
27,018
20,572
14,558
20,510
11,199
22,191
14,869
24,664
95,732
26,778
1 5,820
21,910
23,079
34,256
20,075
58,043
14,988
13,280
23,928
21,732
12,823
52,315
10,428
15,414
45,309
10,518
80,561
16,370
13,142
52,267
40,318
37,708
10,434
80,071
444,719
13,441
11,151
26,359
15,346
18,074
26,017
36,676
10,398
367,302
10,353
10,124
12,340
20,935
461
465
4,147
866
428
896
1,157
465
1,757
346
833
575
1,018
573
1,788
7,685
1,628
1,001
1,386
1,905
1,435
1,237
2,434
1,316
707
1,516
1,245
966
2,401
655
762
3,264
696
4,617
800
893
3,697
2,268
3,285
402
5,028
47,190
1,021
401
1,316
952
909
2,127
1,534
551
35.020
760
444
603
892
465
467
4,147
868
430
906
1,173
465
1,761
347
841
583
1,018
576
1,792
8,022
1,690
1,004
1,388
1,910
1,454
1,243
2,440
1,330
708
1,526
1,249
974
2,428
658
779
3,277
702
4,668
801
900
3,707
2,285
3,308
404
5,037
47,661
1,035
402
1,322
963
915
2,140
1,548
554
35,265
761
446
620
898
24
7
69
9
5
32
15
42
2
33
422
II
2
5
12
10
6
382
1
2
4
7
2
4
166
44
9
6
28
3
108
6
12
7
4
580
26
12
17
7
16
15
17
5
26
2
6
13
5
14
33
9
91
13
1
64
22
67
4
41
1,398
27
3
10
10
16
26
8
1
1,539
16
1
2
5
6
II
594
69
5
32
16
4
5
15
11
57
25
2
75
644
96
79
60
100
73
32
75
95
51
39
62
88
91
14
41
237
58
492
67
23
184
95
229
14
73
2,925
69
8
39
24
47
70
69
10
2,920
6
II
32
23
47
64
1,322
164
79
156
171
48
307
65
136
'66
167
103
146
2,442
451
211
408
378
270
214
393
332
167
384
365
223
460
164
204
763
218
1,252
202
196
783
605
946
82
1,114
11,440
238
64
337
213
266
642
344
171
8,200
161
111
155
172
383
355
1,634
393
313
594
885
325
1,245
203
595
409
736
417
1,501
2,876
929
662
859
1,278
1,012
862
1,711
799
446
931
767
565
1,644
440
440
2,116
370
2,483
462
611
2,274
1,355
1,701
275
3,424
25,657
590
278
849
563
474
1,207
1,056
329
14,323
508
305
390
620
23
26
353
190
21
98
50
84
79
55
76
34
60
42
52
1,060
113
36
44
120
56
104
228
67
37
126
44
78
182
27
53
88
33
226
47
56
358
174
297
25
341
5,280
85
46
73
139
100
169
46
34
7,599
67
13
20
64
106
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued
City by Sute
Population
Crime
Index
total
Modined*
Crime
Index
total
Murder
and non-
negtigent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
OREGON
Albany
Ashland
Astoria
Beaverton
Bend
Coos Bay
Corvallis
Eugene
Forest Grove
Gladstone
Grants Pass
Gresham
Hermiston
Hillsboro
Keizer
KJamatli Falls
La Grande
Lake Oswego
Lebanon
McMinnville
Medford
Milwaukie
Newberg
Oregon City
Pendleton
Portland
Roseburg
Salem
Springfield
Tigard
Tualatin
West Linn
Woodbum
PENNSYLVAMA
Allentown
Altoona
Aston Township
Beaver Falls
Bethlehem
Bethlehem Township
Center Township
Chambersburg
Coatesville
Coliunbia
Cumru Township
Darby
Daiby Township
Derry Township
Doylestown Township
East Hempfield Township
Emmaus
Erie
Ejieter Township (Berks County)
Fairview Township
Falls Township (Bucks Coimty)
Greensburg
29,462
16,234
10,069
53,310
20,469
1 5,076
44,757
112,669
13,559
10,152
17.488
68.235
10.040
37,520
21.884
17,737
11,766
30,576
10,950
17,894
46,951
18.692
13.086
14.698
15.126
437.319
17.032
107.786
44.683
29.344
15.013
16.367
13.404
105.090
51.881
15.080
10.687
71.428
16.425
10.742
16.647
11.038
10.701
16.060
11.140
10.955
18.408
14,510
18.597
11.157
108.718
17.260
13.258
34,997
16.318
2.939
820
555
2.438
1.803
1.248
2.385
9.026
519
467
1,798
3,565
667
1.434
813
1.514
649
793
828
1.044
4.397
926
526
993
658
48.545
1.220
8.653
2.844
2,099
722
310
788
6.574
1.418
228
410
2.444
399
244
1.492
720
407
498
385
229
607
300
664
277
5.989
529
321
1.586
617
2.963
830
561
2,454
1.811
1.258
2.410
9.106
527
470
1.803
3.577
670
1.442
829
1.518
651
808
843
1.048
4.437
929
535
999
662
49.101
1,224
8,708
2,866
2.110
723
313
798
6.595
1.433
230
419
2.453
400
244
1.498
721
408
499
386
229
609
301
665
278
6.052
530
324
1.594
627
21
5
5
14
6
14
18
76
4
1
5
21
8
13
II
10
6
5
6
II
36
6
3
5
5
424
4
50
25
6
4
I
1
25
8
12
41
23
18
20
197
12
51
19
7
20
7
2,541
29
190
50
197
39
2
30
45
5
4
3
3
315
1
3
25
8
137
14
23
58
66
37
26
189
16
9
6
117
26
67
115
14
33
16
151
6
28
94
15
4,838
43
56
105
20
9
12
32
172
89
32
83
91
14
6
325
86
27
36
67
32
35
5
5
6
316
46
10
141
45
482
126
163
422
239
284
408
1,530
131
69
262
745
126
256
173
292
105
260
135
144
684
210
70
181
135
8,967
160
1.563
480
315
135
83
135
1.434
484
26
453
38
26
269
97
58
96
49
33
78
41
124
47
1.201
101
65
266
125
2,127
630
311
1,733
1,378
810
1,826
6,624
327
330
1,412
2.197
492
1,021
534
1.051
393
463
603
803
3.269
519
402
610
449
25.933
944
6.305
2.048
1.647
506
190
541
4.318
665
141
187
1,682
332
193
782
409
277
341
165
122
470
236
498
201
3,715
361
221
923
384
147
37
41
167
89
84
87
409
29
50
98
402
34
101
55
65
26
49
42
61
206
164
16
83
47
5,809
39
483
135
74
60
22
64
429
104
26
18
146
8
18
59
68
32
21
58
31
20
13
32
19
363
19
19
214
48
107
Table 6. — Number of OfTenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued
City by Stale
Population
Crime
Index
total
Modified'
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Buiglary
Larceny-
theft
Motor
vehicle
then
PENNSYLVANIA— Continuwl
Hampden Township
Hanover
Harrisburg
Haverford Township
Hilltown Tovmship .
Indiana
Johnstown
Lancaster
Lancaster Township ...
Lansdowne
Logan Township
Lower Allen Township
Lower Paxton Township
Lower Southampton
Manheim Township
Marple Township
Millcreek Township
Murrysville
Nazareth Area
Nether Providence Township
Newberry Township
New Castle
New Kensington
Newtown Township (Bucks County)
Northampton Township
Northern York Regional
North Huntingdon Township
Oil City
Palmer Township
Peters Township
Philadelphia
Pittsburgh
Radnor Township .
Reading
Ridley Township ..
Rostraver
Salisbury Township
Scott Township
Sharon
South Whitehall Township
Springettsbury Township
Springfield Township (Delaware
County)
Spring Garden Township
Spring Township (Berks County)
Susquehanna Township
Swatara Township
Uniontown
Upper Allen Township
Upper Chichester Township
Upper Providence Township ...
Upper Southhampton Township
Warren
Warrington Township
Warwick Township
West Hempfield Township
Windsor Township
20.384
14,399
52,376
49,848
10,582
15,174
28,134
55,551
13,187
11,712
12,381
15,254
39,162
19,860
28,880
23,123
46,820
1 7.240
10.196
13.229
12,461
28,334
15,894
13,685
35,406
34,935
28,158
11,949
14,965
14,467
1,585,577
369,879
28,703
78,380
31,169
11,224
13,401
17,118
17,493
18,261
21,564
24,160
11,207
18,899
18,6.36
19,661
12,034
13,347
15,004
10,709
16,076
11,122
12,169
11,622
12,942
10,147
409
618
5,242
609
229
490
1.416
4.076
481
212
266
516
1.798
701
990
537
1,126
349
279
204
329
1,319
347
156
292
707
462
390
428
204
114,032
32,386
682
6,683
872
289
299
318
568
615
701
812
408
160
983
1,272
514
168
554
122
302
356
234
108
268
126
409
620
5,266
616
229
491
1,452
4,107
485
213
271
516
1.802
701
993
538
1.134
354
279
204
339
1.384
348
156
294
710
467
394
428
207
115.664
32,765
683
6,728
873
290
300
319
579
623
703
818
410
160
984
1,279
523
168
564
124
302
360
240
108
268
126
503
35
7
3
2
1
1
734
302
4
34
4
1
1
2
10
534
10
1
4
44
151
8
II
5
5
19
4
12
4
6
4
1
5
2
58
29
1
3
2
7
1
4
12,806
2,319
390
13
3
2
5
16
529
17
3
50
118
120
4
19
9
II
141
28
17
7
19
24
4
14
10
78
39
3
13
13
28
15
13
13
7,344
2,237
14
383
48
5
1
19
43
9
7
26
37
77
1,063
93
37
90
375
1,107
129
36
83
48
275
113
156
85
235
38
53
42
55
320
61
20
68
89
85
61
36
22
24,144
5,988
81
1,585
93
30
40
55
117
134
78
82
337
481
2,458
410
166
327
784
2,296
298
112
143
428
1,214
456
747
402
810
267
213
128
249
668
167
127
174
563
309
286
362
150
42,633
12,871
529
3.361
635
220
229
194
338
446
591
538
28
31
573
74
18
19
88
361
41
33
24
22
135
98
57
39
54
IS
7
14
12
131
47
5
34
31
28
25
11
18
25,868
8,634
46
921
79
30
25
46
47
19
19
154
57
314
22
29
120
8
138
705
101
145
963
110
99
277
42
32
121
2
94
350
67
25
80
5
85
182
29
55
260
24
78
122
21
24
75
4
25
203
10
28
75
2
108
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued
City by Stale
Population
Crime
Index
total
ModiHed*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
PENNSYLVANU— CoBtiniied
Yeadon
York
York Township
RHODE ISLAND
Barrington
Bristol
Burrillville
Central Falls
Coventry
Cranston
Cumberland
East Greenwich
East Providence
Johnston
Lincoln
Middletown
Narragansett
Newport
North Kingstown
North Providence
North Smithfield
Pawtucket
Portsmouth
Providence
Smithfield
South Kingstown
Tiverton
Warren
Warwick
Westerly
West Warwick
Woonsocket
SOUTH CAROUNA
Aiken
Anderson
Cayce
Charleston
Oemson
Columbia
Easley
Florence
GaiTney
Goose Creek
Greenville
Greenwood
Greer
Hanahan
Irmo
Mauldin
Mount Pleasant
Myrtle Beach
Newberry
North Augusta
North Charleston
11,980
42,192
24,152
15,849
21,625
16,230
17,637
31,083
76,060
29,038
11,865
50,380
26,542
18,045
19,460
14,985
28,227
23,786
32,090
10,497
72,644
16,857
160,728
19,163
24,631
14,312
11,385
85,427
21,605
29,268
43,877
19,872
26,184
11,163
80,414
11,096
98,052
15,195
29,813
13,145
24,692
58,282
20,807
10,322
13,176
11,280
11,587
30,108
24,848
10,542
15,351
70,218
523
3,094
469
341
525
246
1,211
906
3,044
1,046
352
1,616
1,256
688
488
639
2,488
767
1,255
362
4,262
362
18,602
346
593
459
321
5,305
667
964
2,296
1,490
2,215
879
5,916
712
12,645
923
3,131
1,021
709
6,818
1,962
1,273
793
279
406
2,035
4,065
150
799
8,973
525
3,123
471
341
525
250
1,211
916
3,069
1,055
354
1,645
1.261
688
489
639
2,507
771
1,267
364
4,264
362
19,051
351
596
461
321
5,352
669
967
2,312
1,505
2,234
881
5,926
713
12,692
924
3,139
1,032
714
6,847
1,969
1,282
799
279
409
2,038
4,069
152
803
9,039
22
15
20
5
51
3
103
8
32
6
7
49
20
3
6
153
5
48
1
18
4
77
1
860
2
5
5
2
26
2
5
42
30
46
24
252
4
518
9
IG8
19
7
263
35
35
9
2
3
18
83
10
28
350
41
114
II
9
24
2
133
27
83
43
16
58
30
6
97
207
21
57
57
193
1
999
2
2
2
3
435
6
14
125
71
299
96
496
18
1,318
69
374
147
36
673
549
138
45
22
25
134
141
26
76
888
100
608
104
72
160
97
286
277
854
260
94
347
257
109
89
149
477
224
342
120
1,127
135
4,480
100
151
118
50
788
220
215
615
328
576
122
1,000
119
1,967
127
683
200
113
1,314
415
205
188
69
78
392
1,036
10
192
1,612
271
1,999
313
251
303
128
399
534
1,589
663
223
931
677
346
359
363
1,550
463
529
157
1,956
193
7,596
185
389
279
239
3,053
401
647
1,234
964
1,125
588
3,645
539
7,563
685
1,791
604
520
4,182
891
825
478
170
285
1,422
2,590
96
426
5,091
98
180
29
7
35
15
341
61
467
73
14
254
280
228
32
24
188
56
300
23
891
32
4,539
57
45
54
23
990
36
81
266
79
144
42
465
29
1,154
25
138
45
26
324
51
66
67
16
14
62
194
4
74
920
109
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued
City by Stale
Population
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
SOUTH CAROUNA— Continiied
Orangeburg
Rock Hill
Simpsonville
Spartanburg
Summerville
Sumter
West Columbia
SOUTH DAKOTA
Aberdeen
Brookings
Huron
MitcheU
Pierre
Rapid City
Sioux Falls
Vermillion
Watertown
Yanlcton
TENNESSEE
Brentwood
Bristol
Brownsville
Chattanooga
Clarksville
Cleveland
Collierville
Columbia
Cookeville
Dyersburg
East Ridge
Franklin
Gallatin
Germantown
Goodlettsville
Oreeneville
Hender«)nville
Jackson
Johnson City
Kingsport
Knoxville
Lawrenceburg
Maiyville
McMinnville
Memphis
Morristown
Murfreesboro
Nashville
Oak Ridge
Shelbyville
Smyrna
Springfield
Tullahoma
Union City
13,739
41,643
11,708
43,467
22,519
41,943
10,588
12,703
16,392
23,421
10,019
152,466
75,494
30,354
14,427
28.583
21,744
16,317
21,101
20,098
18,794
32,893
11,219
13,532
32,188
50,594
49,381
36,365
165,121
10.412
19,208
11,194
610,337
21,385
44,922
499,565
27.310
14,049
13,647
11,227
16,761
10,513
1,961
4.364
427
6,377
1,559
3,369
1,443
472
437
1,350
493
19,481
4,989
1,800
420
1.961
880
1,479
1,305
965
1,056
470
1,009
826
1,026
5,275
3,171
2,757
13.113
490
835
553
60,255
1,393
3,016
39,360
1.370
640
718
1,034
786
1,018
1,973
4,381
428
6.394
1.564
3.381
1,445
24,927
1.000
1.012
16,270
599
602
12,448
520
521
13,798
692
700
12,906
•705
708
54,523
3,437
3,462
100,814
4,474
4,492
10,034
475
480
17,592
767
770
473
437
1,361
493
19,638
5,009
1,805
421
1,968
1,481
1,308
1,058
470
1,009
826
1,037
5,327
3,182
2,773
13,333
490
840
564
61,014
1,408
3,026
1,372
646
1,035
1.023
195
1
4
67
7
8
180
6
47
18
4
III
5
13
2
831
13
17
553
II
1
7
6
4
6
55
110
10
275
40
120
34
2
6
13
961
68
28
51
6
12
30
13
13
7
16
7
7
162
56
15
601
3
II
5
4.152
7
48
2.164
16
13
10
19
8
13
159
680
33
926
106
529
155
29
1
5
24
20
193
192
12
15
16
14
55
65
2,296
1,050
208
31
129
19
105
51
118
176
7
28
128
642
101
203
1,236
67
25
46
3,904
42
178
4,102
64
49
47
292
34
41
369
788
99
1,127
261
682
244
117
'57
48
137
70
464
579
100
197
48
64
178
140
4,603
899
422
55
489
206
253
257
145
140
57
III
165
170
1,122
631
343
3,637
93
170
114
15.526
290
505
8,892
234
183
276
134
167
180
1,267
2,572
267
3,695
1,056
1,842
909
789
522
426
499
587
2,582
3,450
338
525
394
344
1,059
239
9,215
2,733
970
289
1,217
588
1,050
852
638
686
374
783
561
680
3,083
2,130
2,016
5,660
286
559
350
22,966
891
2,072
20,115
957
369
330
561
538
743
104
167
14
303
82
163
93
43
17
37
32
23
136
135
16
21
10
13
42
28
2,194
192
162
45
65
54
49
107
46
35
23
71
93
33
215
231
175
1.843
36
57
35
12.681
149
192
3,467
88
25
46
22
35
32
110
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued
City by Suic
Population
Critnc
Index
total
ModiHed*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
TEXAS
Abilene
Alice
Allen
Alvin
Amarillo
Andrews
Angleton
Arlington
Athens
Austin
Balch Springs
Bay City
Baytown
Beaumont
Bedford
Beeville
Bellaire
Belton
Benbrook
Big Spring
Borger
Brenbam
Brownsville
Brownwood
Bryan
Burkbumelt
Burleson
Canyon
CarroUton
Cedar HiU
Gebume
College Station
CoUeyville
Conroe
Coppell
Copperas Cove
Corpus Christi
Corsicana
Dallas
Deer Park
Del Rio
Denison
Denton
DeSoto
Donna
Dumas
DuncanviUe
Eagle Pass
Edinburg
El Campo
El Paso
Eimis
Euless
Farmers Branch
Flower Mound
Forest Hili
Fort Worth
106,654
19,788
18,309
19,220
157,615
10,678
17,140
261,721
10,967
465,622
17.406
18,170
63,850
114,323
43,762
13,547
13,842
12,476
19,564
23,093
15.675
11,952
98,962
18,387
55,002
10,145
16,113
11,365
82,169
19,976
22,205
52,456
12,724
27,610
16.881
24.079
257.453
22.911
1,006.877
27.652
30,705
21,505
66,270
30,544
12,652
12,871
35,748
20,651
29,885
10,511
515,342
13,883
38,149
24,250
15,527
11,482
447,619
5,739
1,864
673
1.274
13,643
327
770
22,309
850
54,543
2,207
1,773
6,053
13,099
2,433
980
736
492
699
1,665
689
543
9,163
1.473
4,360
332
953
226
5,190
1,013
1,343
2,402
369
2,943
668
1,215
26,535
1.963
156,267
850
1,694
2,165
5,436
1,823
879
453
2,258
1.302
1,716
833
57,921
934
2,351
2,242
497
959
67,040
5,775
1,882
676
1,275
13,728
331
770
22,423
54,999
2,217
1,778
6,082
13,162
2,437
982
738
494
699
1,690
690
547
9.174
1,477
4,375
333
956
229
5,194
1,014
1,355
2,403
369
2,952
668
1,217
26.685
1,985
157,822
854
1,694
2,182
5,528
1.834
879
453
2.280
1,307
1.723
833
58,195
947
2,364
2,255
498
969
67,320
447
13
139
280
14
6
51
126
23
23
2
25
240
34
1,344
1
130
3
8
4
17
3
256
5
13
4
432
187
6
6
13
248
2
5
586
10
1,461
26
31
175
562
31
7
22
7
13
7
7
9
172
12
125
2
11
71
15
13
25
1
67
6
4
446
30
10,565
9
4
40
73
31
1
1
60
3
26
16
1,381
14
31
37
4
52
2,801
628
67
30
76
581
27
36
1,143
75
1,539
325
82
225
1,136
25
157
53
33
29
153
13
89
552
98
345
22
12
15
108
31
7
87
11
292
20
166
892
59
12,194
73
117
159
305
33
99
101
48
217
48
3,440
49
88
87
79
43
4,463
1,647
566
175
186
3,262
81
139
4,498
284
11,371
319
377
1,377
3,842
476
236
155
110
158
273
174
92
2,414
454
1,135
90
233
40
1,180
396
158
491
101
577
272
257
6,131
365
32,975
254
413
565
1,432
457
176
146
608
242
464
258
9,565
263
490
410
133
228
15.298
2,912
1.165
432
927
8,876
206
526
13,192
446
35.955
1,362
1,237
3,385
6,151
1,682
550
420
330
427
1,153
469
335
4,908
854
2.519
205
629
160
3,313
501
1,099
1,648
246
1,735
337
718
17,548
1,403
74.229
449
1.093
1.271
3.363
1,114
547
291
1,271
943
833
496
37.609
539
1.520
1.393
248
499
34,710
266
53
29
66
579
10
51
2,743
33
3,891
160
39
839
1,263
195
30
84
10
63
61
26
14
1,068
41
188
13
60
10
504
6S
65
143
9
246
31
44
1,249
72
24,513
60
67
121
228
182
55
11
209
60
158
10
5,636
63
206
309
26
128
9,206
111
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued
City by Sute
Population
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
TEXAS— Continiied
Freeport
Friendswood
Gainesville
Galena Park
Galveston
Garland
Gatesville
Georgetown
Grand Prairie
Grapevine
Greenville
Groves
Haltom City
Harker Heights
Harlingen
Henderson
Hereford
Houston
Humble
Huntsville
Hurst
Irving
Jacksonville
KeUer
Kerrville
Kilgore
KiUeen
Kingsville
Lake Jackson
La Marque
LaMesa
Lancaster
La Porte
Laredo
League City
Levelland
Lewisville
Live Oak
Longview
Lubbock
Luflcin
Mansfield
Marshall
McAUen
McKinney
Mercedes
Mesquite
Midland
Mineral Wells
Mission
Missouri City
Mount Pleasant
Nacogdoches
Nederland
New Braunfels
North Richland Hills
Odessa
11,389
22,814
14,256
10,033
59,070
180,650
11,492
14,842
99,616
29,202
23,071
16,513
32,856
12,841
48,735
11,139
14,745
1,630,553
12,060
27,925
33,574
155,037
12,765
13,683
17,384
11,066
63,535
25,276
22,776
14,120
10,809
22,117
27,910
122,899
30,159
13,986
46,521
10,023
70,31 1
186,206
30,206
15,607
23,682
84,021
21,283
12,694
101,484
89,443
14,870
28,653
36,176
12,291
30,872
16,192
27,334
45,895
89,699
847
618
859
285
6,994
11,627
289
743
8,870
1,444
3,732
684
3,472
482
3,842
1,145
860
184,869
1,713
1,575
2,695
13,832
914
426
1,079
739
4,401
1,857
739
954
535
1,247
972
10,927
1,079
551
4,381
388
6,735
12,302
2,721
943
1,749
8,709
1,715
595
10,647
5,564
955
1,763
1,701
824
1,815
873
1,412
3,248
12,138
850
620
860
291
7,039
11,720
289
743
8,875
1,451
3,755
685
3,475
484
3,852
1,147
868
186,884
1,718
1,576
2,702
13,891
914
429
1,085
742
4,589
1,863
742
955
540
1,272
984
10,979
1,090
558
4,406
400
6,771
12,360
2,729
946
1,764
8,729
1,717
600
10,697
5,587
958
1,772
1,711
837
1,823
873
1,429
3,255
12,182
568
49
132
2
2
52
6
26
1,335
1
9
35
90
2
2
6
3
47
11
2
9
1
28
1
66
160
14
2
25
16
29
10
21
65
4
8
6
1
3
8
386
204
194
15
66
5
65
4
36
14
3
12,921
34
25
38
231
28
I
10
3
94
30
2
17
5
32
22
158
12
3
48
2
141
304
39
42
104
27
12
178
121
6
12
47
5
34
7
25
46
114
38
34
52
5
293
370
18
62
614
48
811
II
70
56
241
HI
75
7,813
33
122
112
352
51
66
30
48
129
158
9
14
51
9
51
561
14
30
90
28
887
636
114
49
183
340
294
97
377
302
114
67
53
47
186
14
167
107
466
179
165
255
86
1,552
2,903
70
155
1,879
297
806
.164
1,007
108
935
211
137
42,986
207
353
514
2,430
210
115
284
190
1,151
475
73
296
141
284
239
2,231
267
100
847
59
1,435
2,893
818
208
316
1,624
320
187
1,666
1,554
271
382
527
229
401
164
390
663
2,415
541
374
502
146
4,075
6,889
177
472
4,702
986
1,861
465
1,877
275
2,355
740
603
78,393
1,059
977
1,702
9,280
593
223
700
440
2,774
1,141
588
557
330
763
558
6,876
670
403
2,889
262
3,760
7,516
1,611
623
1,087
5,562
940
253
7,274
3,144
501
1,117
860
513
1,130
659
721
2,064
8,704
70
34
43
40
623
1,118
22
42
1,424
92
160
37
428
29
265
63
42
40,853
379
88
290
1,436
29
19
48
54
195
41
64
59
6
158
88
1,070
107
14
475
36
441
777
120
53
92
1,060
105
36
1,127
371
58
176
207
' 26
54
29
106
340
368
112
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued
City by Sute
Population
Cnmc
Index
total
Modined'
Cnme
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
as&ault
Burglary
Larceny-
theft
Motor
vehicle
ibeft
TEXAS— CondniMd
Orange
Palestine
Pampa
Paris
Pasadena
Pearland
Pecos
Pharr
Plainview
Piano
Port Arthur
Portland
Port Lavaca
Port Neches
Richardson
Robstown
Rockwall
Rosenberg
Round Rock
Rowlett
San Angelo
San Antonio
San Benito
San Juan
San Marcos
Schertz
Seguin
Sherman
Snyder
South Houston
Stephenville
Sugar Land
Sulphur Springs
Sweetwater
Taylor
Temple
Terrell
Texarkana
Texas City
The Colony
Tyler
Universal City
University Park
Uvalde
Vernon
Victoria
Vidor
ViUage
Waco
Watauga
Waxahachie
Weatherford
Weslaco
West University Place
White Settlement
Wichita Falls
19,381
18,042
19,959
24,699
119,363
18,697
12,069
32,921
21,700
128,713
67,914
12,224
10,886
12,974
74,840
12,849
10,486
20,183
30,923
23,260
84,474
935,933
20,125
10,815
28,743
10,555
18,853
31,601
12,195
14,207
13,502
24,529
14,062
11,967
11,472
46,109
12,490
31,656
40,822
22,113
75,450
13,057
22,259
14,729
12,001
55,076
10,935
11,477
103,590
20,009
18,168
14,804
21,877
12,920
15,472
96,259
2,605
1,640
1,348
2,964
10,668
1,032
445
3,240
1,503
6,954
5,565
502
455
522
4,829
689
518
1,825
1,230
875
5,970
116,774
1,014
940
1,978
512
1,841
3,134
354
1,233
593
857
1,095
740
814
3,357
1,147
2,940
4,084
1,077
8,469
698
983
442
502
4,371
439
281
11,204
520
1,995
1,021
1,791
439
1,405
10,785
2.620
1,654
1,351
2,975
10,769
1,036
446
3,254
1,519
6,984
5,613
505
455
525
4,843
692
524
1,904
1,232
879
117,620
1,017
946
1,991
513
1,847
3,145
354
1,235
593
862
1,099
740
815
3,369
2,973
4.111
1,077
8,504
704
983
443
546
4,381
443
281
11,241
520
2.016
1.024
1.795
441
1.406
10.876
2
5
208
4
4
1
11
27
6
57
430
108
154
31
14
37
237
3
35
15
64
253
1
6
2
107
17
4
49
n
6
41
2,864
9
7
21
2
34
82
1
39
2
12
3
7
12
61
46
67
122
5
164
7
20
5
63
3
6
354
6
17
326
152
145
237
399
886
73
43
149
113
339
713
1
39
27
126
35
II
179
80
40
413
2,228
64
83
146
40
137
112
36
46
23
33
83
41
46
287
116
211
126
30
403
58
7
60
94
445
24
3
882
10
149
64
112
3
21
455
785
437
281
525
2,150
215
110
695
354
1,720
1,777
154
123
118
1,124
330
112
374
208
279
1,539
26,015
283
237
383
89
616
801
49
255
91
194
223
179
235
661
269
689
911
269
1,851
116
185
137
186
1,105
96
83
3,171
124
378
256
344
132
158
2,744
1,375
931
773
1,852
5,907
590
283
2,018
969
4,282
2,359
324
275
348
3,035
282
342
1.109
846
511
3,704
70,150
593
520
1,286
363
987
1,931
244
666
450
527
721
484
489
2,142
650
1.791
2.583
731
5,516
468
668
213
198
2,565
286
165
6,030
352
1,297
631
1,086
242
1,064
6,687
99
79
30
130
1,408
142
4
331
41
509
395
17
9
22
413
25
48
101
58
31
211
14,879
61
86
124
18
45
180
13
221
26
88
57
27
28
138
57
159
314
42
453
43
99
23
11
164
30
23
637
28
148
53
236
49
145
488
113
Table 6.— Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Popnlation, 1990— Contlnned
Cily by State
Population
Crime
Index
total
Modified*
Cnme
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Lanxny-
theft
Motor
vehicle
theft
UTAH
American Fork
Bountiful
Brigbam City .
Cedar City ...
CenterviUe
Clearfield
Kaysville .
Layton ...
Logan
Midvale
Murray
North Ogden ..
Ogden
Pleasant Grove
Prove
Roy
St. George ....
Salt Lake City
Sandy
South Jordan ..
South Salt Lake
Spanish Fork ..
Springville
Tooele
West Jordan
West Valley
VERMONT
Brattleboro
Burlington
Rutland ...
VIRGINIA
Alexandria
Alexandria State Police
Arlington
Arlington State Police
Blacksburg
Bristol
Bristol State Police
Charlottesville
Charlottesville State Police
Chesapeake
Chesapeake State Police
Christiansburg
Colonial Heights
Colonial Heights State Police
Danville
Danville State Police ...
Fairfax City
Fairfax City Sute Police
Fredericksburg
Fredericksburg State Police
Front Royal
Hampton
Hampton State Police
Harrisonburg
15,696
36,659
15,644
13,443
11,500
21,435
13,961
45,600
32,762
11,886
31,282
11,668
63,909
17,294
86,835
24,603
28,502
159,936
75,058
12,220
10,129
11,272
13,950
13,887
42,892
86,976
12,241
39,127
18,230
111,183
170,936
34,590
18,426
40,341
151,976
15,004
16,064
53,056
19.622
19,027
11,880
133,793
30,707
806
1,275
551
575
474
827
417
2,296
1,233
1,192
3,599
223
5,803
655
3,326
1,037
1,124
20,002
3,219
285
2,045
637
459
604
2,089
6,846
933
3,717
1,282
7,417
5
11,055
10
980
1,125
5
2,540
6
7,349
11
837
755
4
2,144
5
1,234
1
693
6
558
8,099
14
1,485
806
555
575
832
2,301
1,196
3,611
223
5,838
1,126
20,115
3,223
285
2,061
459
2,091
6,882
7,453
5
11,092
10
982
1,133
5
2,557
6
7,429
11
838
756
4
2,145
5
1,246
1
694
6
563
8,162
14
1,489
12
5
4
2
2
3
4
3
18
II
6
17
3
46
1
30
4
8
167
14
2
13
8
3
3
13
59
23
38
20
4
2
539
26
1
26
3
1
I
12
56
356
400
1
70
272
1
4
220
11
12
38
22
9
19
21
22
47
17
26
62
1
213
45
49
71
29
624
118
9
59
25
209
277
1
335
145
411
2
26
23
15
286
3
15
97
166
62
59
144
97
67
295
113
213
447
24
794
106
406
116
186
3,501
719
67
350
97
63
113
251
992
161
819
219
1,251
1,484
136
136
1
345
1
1,552
119
50
320
139
83
60
1,141
234
655
1,016
452
478
299
647
304
1,831
1,067
874
2,913
186
4,437
476
2,683
799
838
13,949
2,246
182
1,460
504
364
427
1,720
5,263
734
2,643
941
4,490
4
7,752
4
784
866
4
1,832
5
4,267
7
633
645
1
1,558
2
949
1
502
4
448
5,853
9
. 1,177
37
42
13
26
8
45
20
91
24
61
129
6
246
27
137
42
60
1,197
96
24
135
25
19
43
68
265
20
80
983
1,028
5
20
53
120
802
2
48
28
2
115
3
82
45
1
24
541
1
42
114
Table 6. — Namber of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued
City by Suie
Population
Crime
Index
total
Modined*
Crime
Index
total
Murder
and non-
ne^igent
man>
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
VlRGI>aA— Condniied
Harrisonburg State Police
Hemdon
Hopewell
Leesburg
Lynchburg
Manassas
Martinsville
Martinsville State Police ...
Newport News
Newport News State Police
Norfolk
Norfolk Suie Police ..
Petersburg
Petersburg State Police
Poquoson
Portsmouth
Portsmouth State Police
Radford
Radford Sute Police ...
Richmond
Richmond State Police
Roanoke
Roanoke State Police .
Salem
Salem State Police ....
Staunton
Staunton State Police
Suffolk
Suffolk Sute Police .,
Vienna
Virginia Beach
Virginia Beach State Police
Waynesboro
Williamsburg
Winchester
Winchester Sute Police
WASHINGTON
Aberdeen
Auburn . . .
Bellevue
Bellingham
BotheU
Bremerton .
Centralia . . .
Des Moines
Edmonds
EUensburg
Everett . . . .
Kelso
Kennewick
Kent
Kirkland .
Lacey
Longview
Lynnwood
Marysville
16,139
23,101
16,202
66,049
27,957
16,162
170,045
261,229
38,386
11,005
103,907
15,940
203,056
96,397
23,756
24,461
52.141
14,852
393,069
18,549
11,530
21,947
16.565
33.102
86.874
52,179
12,345
38,142
12,101
17,283
30,744
12,361
69,961
11,820
42,155
37,960
40.052
19,279
31,499
28,695
10,328
2
663
1.331
628
3.858
1.221
1.157
I
10.243
6
26.786
39
2,871
2
187
9,792
2
452
1
23,043
20
7,780
7
1,033
3
849
3
3.009
2
493
22.716
20
897
598
1,895
1
1,673
2,723
4,946
4.048
617
3.017
940
944
1.086
720
5,148
890
3,534
3,813
2,141
1,252
1,640
2.801
609
2
667
1.341
628
3.884
1,222
1,165
I
10,340
6
26,951
39
2,885
2
188
9,893
2
452
1
23,160
20
7,870
7
1,036
3
855
3
3.043
2
495
22.925
20
913
599
1,904
1
1,682
2.761
4.975
4.073
619
3.031
947
945
1,088
726
5,214
895
3,860
2,153
1,253
1,640
2,813
609
26
18
113
14
16
99
218
38
180
149
1
4
2
4
9
32
3
127
23
23
7
104
30
420
31
90
356
1.393
3
156
594
1
650
1
1.177
3
289
1
26
393
25
1,281
3
240
424
1
1
17
22
15
31
55
46
3
59
15
9
10
3
106
6
27
77
21
11
19
29
7
1.655
1
281
30
289
313
1
20
9
41
34
105
156
83
7
106
23
15
10
18
115
23
79
52
101
35
69
56
10
107
200
75
548
174
203
1,797
4,200
4
578
27
1.695
1
47
4,396
1,158
146
95
1
583
74
3,976
99
44
248
281
470
772
549
116
501
201
197
235
100
936
136
746
677
375
154
356
297
69
1
519
958
491
2.614
901
773
I
6.686
4
16.941
20
1.606
1
128
5.521
354
13.001
14
5,738
7
830
694
1
1,720
2
373
16.541
17
705
500
1.528
1
1.304
1.791
3.712
3.142
455
2,146
644
606
752
566
3.515
676
2.545
2.597
1.495
989
1,094
2,251
496
1
17
32
26
116
76
55
629
I
2,794
9
200
1.489
1
22
1
2,417
2
315
288
29
1,297
32
299
227
200
33
155
49
104
67
28
395
38
100
378
140
52
83
157
27
115
Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1990 — Continued
City by Slale
Population
Cnme
Index
loul
Modified*
Cnme
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
Ibeft
Motor
vehicle
theft
WASHINGTON— Continued
Mercer Island
Moses Lake
Mountlake Terrace
Mount Vernon
Oak Harbor
Olympia
Pasco
Port Angeles
Pullman
Puyallup
Redmond
Renton
Richland
Seattle
Spokane
Sunnyside
Tacoma
Tukwila
Vancouver
Walla Walla
Wenatcbee
Yakima
WEST VIRGINIA
Beckley
Bluefield
Cbarleston
Clarksburg
Fairmont
Huntington
Martinsburg
Morgantown
Moundsville
Parkersburg
St. Albans
South Charleston
Vienna
Weirton
Wheeling
WISCONSIN
Appleton
Ashwaubenon
Beaver Dam
Beloit
Brookfield
Brown Deer
Caledonia
Chippewa Falls
Cudahy
De Pere
Eau Claire
Fitchburg
Fond du Lac
Fort Atkinson
Franklin
20,816
11,235
19,320
17,647
17,176
33,840
20,337
17,710
23,478
23,875
35,800
41,688
32,315
516,259
177,196
11,238
176,664
11,874
46,380
26,478
21,756
54,827
18,296
12,756
57,287
18,059
20,210
54,844
14,073
25,879
10,753
33,862
11,194
13,645
10,862
22,124
34,882
65,695
16,376
14,196
35,573
35,184
12,236
21,676
12,727
18,659
16,569
56.856
15,648
37,757
10,227
21,855
404
1,239
968
998
628
2,363
2,678
1,182
631
1,656
1,504
4,007
1,187
65,053
15,289
1,237
20,805
2,726
2,959
2,658
1,908
7,675
888
390
6,063
490
885
4,314
1,172
1,393
399
1,455
469
536
379
578
1,030
2,840
1,136
903
2,630
1,664
452
419
510
817
603
3,037
487
2,224
461
458
404
1,241
985
1,005
634
2,372
2,685
1,193
633
1,672
1,515
4,024
1,198
65,322
15,352
1,246
20,951
2,991
2,682
1,910
7,712
894
390
6,123
490
897
4,377
1,195
1,403
399
1,478
472
536
381
585
1,030
2,852
1,136
903
2,646
1,665
453
425
511
823
609
3,059
488
2,232
466
465
I
14
16
4
4
22
10
10
7
12
16
31
9
481
98
5
245
23
42
26
14
55
19
45
5
1
17
15
70
8
2,695
315
6
969
68
75
25
18
163
13
15
179
3
12
131
18
15
I
14
6
6
5
45
9
33
14
52
124
20
84
26
14
83
24
4,551
686
45
1,857
78
153
247
31
499
28
12
280
22
41
140
19
48
I
27
10
29
I
26
96
48
5
119
7
100
209
172
142
68
277
607
229
110
170
266
590
251
11,181
3,579
242
3,956
392
679
569
309
1,579
129
96
1,174
106
207
1,113
167
216
103
357
III
92
18
126
345
479
88
73
457
193
65
87
69
131
108
543
76
204
29
77
281
907
711
740
528
1,869
1,765
879
393
1,300
1,139
2,841
855
39,522
9,878
905
11,975
1,920
1,756
1,708
1,480
4,995
689
252
4,102
329
572
2,826
919
1,025
258
932
301
372
351
361
413
2,280
993
782
1,950
1,312
347
287
402
570
457
2,322
359
1,829
409
357
14
59
50
66
14
123
122
39
36
129
54
389
40
6,570
725
33
1,778
244
251
83
56
383
24
12
279
25
42
57
43
66
34
107
38
35
9
53
120
48
29
42
100
110
36
29
20
47
18
113
35
60
14
20
116
Table 6. — Number of Offenses Known to tbe Police, Cities and Towns 10,000 and over in Population, 1990 — Continued
Cily by Suie
Population
Crime
lodex
total
ModiHed*
Cnme
Index
total
Murder
and non-
negligent
man-
slaughter
Foirible
rape
Robbery
Aggra-
vated
assault
Bui^ary
Larceny-
theft
Motor
vehicle
theft
WISCONSIN— Condnued
Germantown
Glendale
Green Bay
Greendale
Greenfield
JanesviUe
Kaukauna
Kenosha
La Crosse
Madison
Manitowoc
Marinette
Marshfield
Menasha
Menasha Town
Menomonee Falls
Menomonie
Mequon
Middleton
Milwaukee
Monroe
Mount Pleasant
Muskego
Neenah
New Berlin
Oak Creek
Oconomowoc
Onalaska
Oshkosh
Pleasant Prairie
Racine
River Falls
Sheboygan
Shorewood
South Milwaukee
Stevens Point
Sun Prairie
Superior
Two Rivers
Watertovm
Waukesha
Wausau
Wauwatosa
West AUis
West Bend
Weston
Whitefish Bay
Whitewater
Wisconsin Rapids
WYOMING
Casper
Cheyenne
Evanston
Gillette
Green River
Laramie
13,658
14,088
96,466
15,128
33.403
52,133
11,982
80,352
51,003
191,262
32,520
11,843
19,291
14,711
13,826
26,840
13,547
18,885
13,289
628,100
10,241
20,764
16,813
23.219
33,592
19,513
10,993
11,284
55,006
11,961
84,298
10,610
49,676
14,116
20,958
23,006
15,333
27,134
13,030
19,142
56,958
37,060
49,366
63,221
23,916
11,159
14,272
12,636
18,245
46,742
50,008
10,903
17,635
12,711
26,687
454
1,170
4,638
852
1,731
3,535
482
4,214
3,408
12,620
1,504
545
821
738
389
963
798
252
510
58,406
401
601
273
987
788
834
353
520
3,262
387
7,135
487
3,136
460
702
1,563
598
2,105
505
708
1,380
1,979
2,340
3,485
1,092
479
292
425
1,000
2,632
2,864
508
1,068
554
1,295
456
1,172
4.673
855
1,731
3,568
482
4,258
3,413
12,695
1,507
548
826
739
390
963
803
252
510
58,802
405
602
278
990
803
837
356
521
3,275
387
7,182
489
3.171
460
710
1.569
601
2,110
509
710
1,395
1,991
2,349
3,529
1,102
483
292
425
1,002
2,682
2,885
508
1,081
556
1,297
155
10
495
1
3
37
21
6
24
15
2
91
12
230
3
2
6
I
3
4
4,146
3
307
1
13
22
3
1
4
14
2
3
17
7
74
49
3
1
9
2
3
2
7
244
30
47
8
79
20
301
24
10
22
5
12
1
3
9
1,486
7
29
19
17
29
19
3
84
17
417
1
109
4
20
44
13
13
5
3
67
32
20
166
24
13
2
3
115
196
39
24
146
16
37
64
92
550
38
222
570
117
934
222
2,334
159
29
77
216
76
174
67
41
94
9,311
91
159
58
106
160
86
58
55
447
54
1,647
31
420
150
123
222
90
340
66
108
274
281
313
635
89
77
39
41
168
527
228
66
120
89
136
373
888
3,623
771
1,328
2,771
339
2,823
3,030
8,957
1,272
491
693
501
292
711
696
195
390
29,575
288
363
201
840
587
632
260
453
2,629
306
4,334
434
2,522
242
523
1,257
472
1,618
418
578
924
1,576
1,738
2,380
949
362
236
373
682
1,772
2,510
388
763
428
1,061
11
140
180
29
126
125
13
246
113
733
42
15
28
21
12
59
31
10
13
13,238
15
42
13
21
22
77
15
7
93
7
394
17
68
40
33
29
18
116
14
15
89
78
185
240
25
25
5
5
31
104
68
26
28
117
Table 6.— Nnmber of Offenses Known to the Police, Cities and Towns 10,000 and over in Popnlation, 1990— Continued
City by Sute
Population
Crime
Indn
toul
ModiHed*
Crime
Index
total
Murder
and noD-
neKligem
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arxin*
WYOMINC— ContiniMd
Rock Springs
19,050
13,900
1,229
573
1,229
579
1
1
9
1
6
3
77
30
246
59
843
455
47
24
Sheridan
" 6
'Forcible rape figures furnished by the sute-level Uniform Crime Reporting (UCR) Program administered by the Illinois Department of State Politx were not in accordance with national VC\
guidelines. Therefore, the figures were excluded from the forcible rape. Crime Index total, and Modified Crime Index total categories.
'Aggravated Assault figures are not comparable to prior years due to a change in reporting procedures.
'1990 figures are not comparable to prior years due to a change in reporting procedures.
118
Table 7. — Number of Offenses Known to the Police, Universities and Colleges, 1990
* Anon IS shown only if 12 months of anon data were received. Leaders (...) indicate zero data.
Univeivily/ColJege
Student
enroU-
ment'
Violent'
crime
total
Violent Crime
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Property'
cnme
total
Property Crime
Burglary
Larceny-
theft
Motor
vehicle
theft
ALABAMA
Auburn University;
Main Cainpus
Montgomery
Jacksonville State University
Troy State University
University of Alabama:
Huntsville
Tuscaloosa
University of Montevallo
University of South Alabama
ARIZONA
Arizona State University
Northern Arizona University
Pima Community College
University of Arizona
Yavapai College
ARKANSAS
University of Arkansas:
Fayetteville
Little Rock
Medical Science
Pine Bluff
CAUFORNIA
Cabrillo College
California State
Polytechnic University:
Pomona
San Luis Obispo
California State University:
Bakersfield
Chico
Dominguez Hills
Fresno
Fullerton
Hayward
Long Beach
Los Angeles
Northridge
Sacramento
San Bernardino
San Diego
San Jose
Stanislaus
College of the Sequoias
Contra Costa Community College
Foothill College
Fresno City College
Humboldt State University
Marin Community College
Merced College
Pasadena Community College
San Francisco State University
San Jose/Evergreen Community College
District
Santa Rosa Junior College
Sonoma State University
University of California:
Berkeley
Davis
Irvine
Lawrence Berkeley Laboratory
Lawrence Livermore Laboratory
Los Angeles
See footnotes at end of table.
20,553
5,580
7,511
8,039
7,448
4
2,719
10,443
13,835
10,064
43,426
24
14,996
12
26,810
1
34,725
16
5,717
1,328
3,333
3
59
12,075
2
17,905
12
15,912
1
4,650
2
14,979
13
7,460
3
17,467
2
23,376
3
11,757
4
33,179
15
17,960
10
29,401
35
23,478
8
9,154
3
34,155
19
26,456
13
4.822
1
7,839
3
6,634
4
12,811
14,710
12
6,135
3
9,817
6,854
19,518
2
24,138
9
16,197
3
20,479
6
6.129
4
30,102
66
20,733
II
14,772
4
12
4
34,371
48
16
13
29
558
58
113
21
12
556
28
42
1,326
557
161
1,323
54
386
78
144
126
62
186
1.099
45
502
19
139
221
1.063
4
50
69
115
481
24
561
50
72
38
485
11
111
41
628
75
358
19
170
7
538
93
559
18
596
85
334
46
209
87
1,289
65
490
57
104
61
13
291
18
130
16
311
8
212
10
72
24
81
16
226
15
559
38
89
269
14
106
13
1.871
165
1,400
63
849
77
48
14
94
1,225
338
529
53
105
16
II
509
26
39
310
73
143
10
33
351
502
34
462
63
505
294
152
389
456
462
239
100
1.007
427
101
48
233
107
269
202
46
65
191
412
84
255
90
1.627
1.319
731
34
94
756
10
4
41
10
3
39
106
9
12
7
48
45
II
56
85
49
49
22
217
6
3
40
7
34
20
109
79
18
41
131
119
Table 7. — Number of Offenses Known to the Police, Universities and Colleges, 1990 — Continued
Univenity/CoUege
Student
enroU-
meat'
Violent'
crime
total
Violent Crime
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Property'
crime
total
Property Crime
Burglary
Larccny-
tbeft
Motor
vehicle
theft
CALIFORNU— Condnued
Riverside
Sacramento
San Diego
San Francisco Medical School
Santa Barbara
Santa Cruz
West Valley College
COLORADO
Adams State College
Arapahoe Community College
Auraria Higher Education Center
Colorado School of Mines
Colorado State University
Red Rocks Community College
University of Colorado:
Boulder
Colorado Springs
Medical Center
University of Denver
University of Northern Colorado
University of Southern Colorado
CONNECTICUT
Central Connecticut State University
Eastern Connecticut State University
Southern Connecticut State University
University of Connecticut:
Avery Point
Health Center
Storrs
Western Connecticut State University
Yale University
DELAWARE
University of Delaware
FLORIDA
Florida Atlantic University
Florida International University
Florida State University:
Panama City
University of Florida
University of North Florida
University of South Florida:
Sarasota
University of West Florida
GEORGU
Fort Valley State College
Georgia Southern University
Georgia State University
Universtiy of Georgia
West Georgia College
ILUNOIS*
Black Hawk College
Chicago State University
CoUege of DuPage
Eastern Illinois University
Illinois State University
Joliet Junior College
Lake County College
7,087
6
4
U
16,410
11
3,759
23
17,743
5
8,816
11
12,595
2,499
7,049
4
2,319
19,192
5,173
24,070
5,815
1.546
6,874
9,814
3,971
19,818
11,325
18,128
33,282
7,162
7,095
1,915
9,842
22,176
27,176
6,705
5,317
6,134
26,493
11,159
22,330
9,454
11,587
10
14,198
1
4,447
2
12,784
4
4
508
3
25,374
12
6,380
9
10,893
11
10
475
248
936
512
638
392
83
98
62
312
48
653
9
852
21
252
205
376
98
123
143
96
13
129
537
116
1,428
736
155
316
1
1,345
96
43
113
55
281
391
628
193
22
138
252
320
523
59
74
63
16
95
47
58
112
3
10
13
3
8
165
21
422
89
366
219
718
439
569
262
83
9
89
18
40
42
267
-9
37
56
589
'
8
153
686
1
18
13
237
75
118
42
329
20
77
117
132
81
10
120
364
90
882
624
142
264
1,216
71
37
101
3
51
15
263
48
337
42
561
46
137
22
126
221
281
431
52
64
46
13
123
26
II
18
13
2
2
12
5
1
1
8
5
124
23
12
35
58
7
1
3
6
25
10
12
I
3
5
Sec footnotes at end of table.
120
Table 7. — Number of Offenses Known to the Police, Universities and Colleges, 1990 — Continued
Univenity/CoUege
Student
enroU-
ment'
Violent^
crime
total
Violent Crime
Murder
and non-
negbgent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Property^
crime
total
Property Cnme
Burglary
Larceny-
theft
Motor
vehicle
theft
ILLINOIS'— ConUiiiied
Morton College
Northeastern Illinois University ...
Northern Illinois University
Southern Illinois University:
Carbondale
Edwardsville
South Suburban College
Triton College
University of Illinois:
Chicago
Urbana
Waubonsee College
Western Illinois University
INDLU><A
Ball Sute University
Indiana University:
Bloomington
Gary
Indianapolis
New Albany
IOWA
Iowa State University
University of Iowa
University of Northern Iowa
KANSAS
Emporia State University
Fort Hays State University
Kansas State University, Manhattan
Pittsburg State University
University of Kansas:
Lawrence
Medical Center
Wichita State University
KENTUCKY
Eastern Kentucky University
Kentucky State University
Morehead State University
Murray State University
Northern Kentucky University
University of Kentucky
University of Louisville
Western Kentucky University
LOUISIANA
Louisiana State University, Baton
Rouge
Louisiana Tech. University
McNeese State University
Northeast Louisiana University
Southeastern Louisiana University
Southern University:
Baton Rouge
MAINE
University of Maine, Orono
University of Southern Maine
3,625
9,846
24,255
24,227
11,352
8,263
17,691
23,993
38,347
5,378
12,765
18,732
33,776
4,812
3,274
5,192
26,475
30,001
12,396
5,763
5,005
19,301
5,637
26,020
2,383
16,673
27,350
10,044
7,378
10,498
8,520
8,968
10,967
10,071
13,635
14
2 218
7,360
7
7,593
9
9,490
1
22,230
30
21,313
31
14,056
3
10
32
13
47
185
527
834
202
44
135
996
1,016
40
443
952
1.073
32
639
31
686
629
215
184
91
520
82
945
251
226
302
1
222
81
75
875
414
229
695
261
87
279
152
348
458
103
47
194
15
141
119
14
15
118
41
12
II
5
47
160
433
734
179
21
124
942
901
35
434
849
24
599
31
540
505
201
99
84
12
75
174
344
23
57
186
755
13
234
30
180
281
1
150
69
72
802
378
221
554
216
75
268
146
308
445
101
2
4
4
12
18
5
48
20
17
30
8
25
I
4
2
2
4
4
16
28
7
3
23
4
1
19
See footnotes at end of table.
121
Table 7. — Number of Offenses Known to tbe Police, Universities and Colleges, 1990 — Continued
Univcreily/CoUcge
Student
enroll-
ment'
Violent'
crime
total
Violent Crime
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Property'
crime
total
Property Cnme
Burglary
Larceny-
theft
Motor
vehicle
theft
MARYLAND
Bowie State University
Coppin State University
Frostburg State University
Morgan State University
Saint Mary's College
Salisbury State University
Towson State University
University of Baltimore
University of Maryland:
Baltimore City
Baltimore County
College Park
Eastern Shore
MASSACHUSETTS
Boston College
Boston University
Brandeis University
Emerson College
Framingham State College
Massachusetts Institute of Technology
North Adams State College
Northeastern University
University of Massachusetts, Worcester
Wentworth Institute of Technology . . .
MICHIGAN
Central Michigan University
Delu College
Eastern Michigan University
Ferris State University
Grand Valley State University
Hope College
Lansing Community College
Macomb Community College
Michigan State University
Michigan Technological University
Northern Michigan University
Oakland Community College
Oakland University
Saginaw Valley State University
Western Michigan University
MINNESOTA
University of Minnesota
MISSISSIPPI
Mississippi State University
University of Mississippi
MISSOURI
Central Missouri State University
University of Missouri:
Columbia
St. Louis
Washington University
NEBRASKA
Kearney State College
University of Nebraska, Lincoln
3,325
17
2,246
4,525
3
4,066
25
1,585
2
5,260
2
15,169
9
5,228
3
4,563
25
9,868
12
36,681
26
1,559
2
14,596
28,555
3,755
2,668
6,683
9.500
2,743
32,389
4
3,861
61,556
12,406
9.927
10,104
23,568
13,932
11,498
9,094
23.985
19,024
4
9,651
23,077
19
11,762
17
9,768
2 781
21,474
31,466
44,480
42
6,502
8,185
26.855
12.254
5.853
24.861
18
12
14
17
12
68
38
68
180
74
222
499
115
498
239
1,447
39
402
924
173
69
34
905
25
488
99
140
398
59
587
408
101
129
168
183
2,231
114
214
89
121
111
578
1,567
361
273
265
685
86
185
124
746
17
3
1
79
11
32
107
4
15
54
214
1
33
141
31
9
3
62
11
22
19
1!
19
15
4
3
4
3
483
1
14
2
8
5
15
120
89
51
31
67
97
63
184
372
104
475
174
1,191
38
347
749
137
57
30
799
14
460
98
120
375
58
550
386
96
124
163
175
1,669
112
199
79
111
105
546
1,445
315
197
172
590
81
168
83
654
6
20
7
11
42
22
34
5
3
1
44
5
1
18
7
1
2
1
5
79
1
1
8
2
1
17
2
4
14
See footnotes at end of table.
122
Table 7. — Number of Offenses Known to the Police, Universities and Colleges, 1990 — Continued
Univenity/CoUege
Student
enroll-
ment'
Violent'
cnmc
total
Violent Crime
Murder
and Qon-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
auault
Property^
crime
total
Property Crime
Burglary
Larceny-
theft
Motor
vehicle
theft
NEVADA
University of Nevada:
Las Vegas
Reno
NEW HAMPSHIRE
University of New Hampshire
NEW JERSEY
Brookdale Community College
Burlington County College
Essex County College
Glassboro State College
Kean College
Middlesex County College
Monmouth College
Montclair State College
New Jersey Institute of Technology . .
Rutgers University:
Camden
Newark
New Brunswick
Stockton State College
Trenton State College
University of Medicine and Dentistry:
Camden
Newark
Piscataway
William Paterson College
NEW MEXICO
Eastern New Mexico University
New Mexico State University
University of New Mexico
Western New Mexico University
NEW YORK
Cornell University
Rensselaer Polytechnic Institute
State University of New York:
Albany
Amherst
Binghamton
Health Science Center, Brooklyn
Maritime College
Plaza
Stony Brook
Upstate Medical Center
State University of New York
Agricultural and Technical College:
Alfred
Canton
CobleskiU
Delhi
Farmingdale
MorrisviUe
Sute University of New York College:
Brockport
Buffalo
Cortland
Environmental Science and Forestry
Fredonia
Geneseo
New Paltz
Old Westbury
Oneonta
14,673
10,506
12,984
3,765
14,278
24,433
1,680
11,529
6.706
16,561
12,588
1,681
828
28.005
16,728
3,775
2,326
4
2,453
10,802
8,840
12,721
7,261
1,398
4,994
5,321
8,093
3,923
6,017
27
13
10,637
1
6,252
5,664
3
9,500
7
12,406
12
11,218
1
4,430
3
12,666
4
7,589
16
5,201
5
9,700
6
32,911
20
5,293
6
7,425
4
2
4
25
4
1
9,230
5
16
10
266
263
293
67
31
24
158
180
85
130
331
190
163
281
704
136
242
22
587
83
150
73
604
853
17
836
315
460
1
326
295
37
819
846
338
161
148
121
137
192
117
216
255
187
7
125
205
111
69
86
65
137
51
136
59
3
12
203
204
15
171
181
225
62
31
16
129
132
72
123
182
175
136
250
644
126
200
14
496
69
141
49
483
800
17
695
264
321
1
265
292
24
587
629
323
114
146
61
99
113
102
172
204
182
7
109
201
107
52
83
2
1
29
13
1
2
See footnocet u end of ubie.
123
Table 7.— Number of Offenses Known to the Police, Universities and Colleges, 1990— Continued
Univenity/CoUege
NEW YORK— ContiniKd
Optometry .
Oswego ....
Plattsburgh
Potsdam . . .
Purchase . . .
Utica-Rome
NORTH CAROUNA
Appalachian State University ...
Davidson College
East Carolina University
North Carolina State University,
Raleigh
Queens College
University of North Carolina:
Chapel HiU
Charlotte
Greensboro
Wilmington
Western Carolina University ...
NORTH DAKOTA
University of North Dakota . . . .
OHIO
Bowling Green State University
Cleveland State University
Cuyahoga Community College
Kent State University
Lakeland Community College ..
Miami University
Ohio State University
Ohio University
University of Akron
University of Cincinnati
University of Toledo
Wright State University
Youngstown State University ...
OKLAHOMA
Central State University
Northeastern Oklahoma State
University
Oklahoma State University ..
Tulsa Junior College
University of Oklahoma:
Health Science Center
Norman
PENNSYLVANIA
Bloomsburg University
California University
Cheyney University
Clarion University
East Stroudsburg University ..
Edinboro University
Elizabethtown College
Kutztown University
Lehigh University
Lincoln University
Mansfield University
Moravian College
Pennsylvania State University:
Altoona Campus
Student
cnroU-
mcDt'
11,824
Violent'
cnme
total
271
8,672
4
6,594
3
4 310
4,143
4
3
11,548
9
1,395
16,501
19
25,725
29
1,373
23,626
21
13,181
10
11,477
11
6,953
4
6.162
3
18,345
9
17,353
10
22,014
2
22,753
1
7,840
16,028
3
53,669
37
17,836
6
27,818
22
31,432
21
22,806
13
16,149
14,710
2
14,269
8,742
21,558
16,778
2,459
22,225
6.804
6.313
1.361
6.601
4,910
7,001
1,788
7,167
6.659
1.251
2.980
1,804
2,604
Violent Crime
Murder
and non'
negligent
man-
slaughter
29
Forcible
rape
Robbery
Aggra-
vated
assault
Property'
crime
total
28
11
228
112
156
150
17
172
133
382
863
39
719
281
277
350
116
347
462
312
153
565
51
466
2,002
273
593
1,019
248
383
215
127
149
310
58
36
806
76
92
45
82
110
119
41
96
225
11
31
45
38
Property Cnme
Burglary
10
2
76
176
15
200
47
34
38
122
6
10
1
425
45
45
140
6
21
4
63
54
4
1
112
Larceny-
theft
11
203
109
154
138
17
161
129
300
664
24
502
233
237
309
108
336
326
237
141
548
50
464
1,534
226
537
873
223
361
205
115
84
253
54
29
667
75
86
23
80
102
110
41
95
206
5
31
43
Motor
vehicle
theft
35
1
2
6
23
17
I
6
3
14
69
12
7
1
I
43
2
11
6
19
1
6
6
27
See footnotes at end of table.
124
Table 7. — Number of Offenses Knovni to tbe Police, Universities and Colleges, 1990 — Continued
Univereily/CoUcge
PENNSYLVANU— ContiBued
Behrend College
Capitol Campus
University Park
Shippensburg University
Slippery Rock University
University of Pittsburgh, Bradford . .
RHODE ISLAND
University of Rhode Island
SOUTH CAROUNA
Qemson University
Medical University of South Carolina
University of South Carolina:
Coastal Carolina
Columbia
Winthrop College
SOUTH DAKOTA
South Dakota State University
TENNESSEE
Austin Peay State University
East Tennessee State University
Middle Tennessee State University
University of Tennessee:
Knoxville
Martin
Memphis
TEXAS
Alvin Community College
Amarillo College
Angelo State University
Baylor University
College of the Mainland
Corpus Christi State University
Eastfield CoUege
East Texas State University
Hardin-Simmons University
Lamar University
Laredo Junior College
McLennan Community College
Midwestern State University
North Harris County College
North Lake College
Prairie View A & M University
Rice University
Richland College
Southern Methodist University
South Plains College
Southwestern University
Southwest Texas State University ...
Stephen F. Austin State University .
Sul Ross State University
Tarleton State University
Texas A & M University:
College Station
Galveston
Texas Arts & Industries University .
Texas Christian University
Texas College Osteo. Med
Texas Southern University
Texas State Technical Institute:
Siudcni
eoroU-
menl'
2,830
3,144
37,269
6,352
7,360
954
15,847
14,794
2,118
4.135
26,435
5,351
7,736
5,177
10,983
13,174
24,985
4,653
1,773
4,090
5,395
6,334
11,789
3,458
4,045
9,396
7,315
1,928
11,809
4,891
5,411
5,149
13,302
6,126
5,640
4,202
13,101
8,944
4,394
1,171
20,505
12,574
2,236
5,667
39,163
742
5,614
6,993
391
8,666
Violcnl'
crime
total
21
Violent Cnme
Murder
and non-
negligent
man*
slaughter
Forcible
rape
Robt>ery
Aggra-
vated
assault
P jperty'
rime
Iota]
53
25
908
89
137
19
319
515
540
46
678
113
109
4
86
2
228
7
291
14
811
3
141
4
215
27
50
64
266
55
23
87
120
16
325
71
8
51
40
57
228
241
102
264
20
12
512
361
55
117
775
3
137
102
44
227
Property Crime
Burglary
3
49
2
23
117
790
3
84
9
128
1
18
37
38
469
26
512
6
40
135
482
14
95
16
Larccny-
Ihen
265
93
16
70
9
214
38
244
54
757
20
120
9
193
26
44
57
194
50
19
84
91
10
292
57
5
42
24
56
137
175
95
201
15
8
414
304
43
80
691
3
90
80
40
175
Motor
vehicle
theft
17
61
4
1
13
13
3
4
1
9
36
7
30
13
4
1
3
20
1
15
Sec footnotes at end of table.
125
Table 7. — Number of Offenses Known to the Police, Universities and Colleges, 1990 — Continued
Univcreity/CoUcge
Student
enroll-
ment'
Violent'
crime
total
Violent Crime
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
vated
assault
Property'
crime
total
Properly Crime
Burglary
Larceny-
theft
Motor
vehicle
theft
TEXAS— ContiniMd
Amarillo
Waco
Texas Tech. University;
Health Science Center
Lubbock
Texas Woman's University
Tyler Junior College
University of Houston:
Central Campus
Clearlake
Downtown Campus
University of North Texas
University of Texas:
Arlington
Austin
Dallas
El Paso
Galveston
Health Science Center, San Antonio
Health Science Center, Tyler
Houston
Pan American
Permian Basin
San Antonio
Southwest Medical School
Tyler
West Texas State University
UTAH
Brigham Young University
Salt Lake Community College
Southern Utah State College
University of Utah
Utah State University
Utah Valley Community College
Weber State University
VIRGINL\
Christopher Newport College
College of William & Mary
George Mason University
James Madison University
Longwood College
Mary Washington College
Norfolk State University
Old Dominion University
Radford University
Thomas Nelson Community College ..
University of Richmond
University of Virginia
Virginia Commonwealth University ...
Virginia Polytechnic Institute and State
University
Virginia State University
Virginia Western Community College
WASHINGTON
Central Washington University
Eastern Washington University
University of Washington
Washington State University
WEST VIRGINU
Concord College
Glenville State College
858
4,022
4
826
24,605
8,898
7,820
7
2
2
30,372
7,196
7,409
24,498
7
1
4
12
23.383
50,106
7,667
9
13
10,491
4
2
2,219
2,837
4
11,204
2,132
2
5
11
13,134
1,458
3,859
1
1
5,756
8
30,226
9,048
2,952
23,758
13,777
6,833
12,146
7,109
8,094
33,460
16,405
2,450
2,205
4,647
7,372
8
18,965
26
10,906
7
3,042
3
3,427
4
8,123
17
16,364
6
8,764
3
6,640
4,948
4
20,802
7
20,645
8
24,280
8
3,855
23
6,755
35
196
120
651
47
97
595
34
141
404
448
916
55
172
108
87
26
407
134
11
132
152
25
126
542
67
60
782
248
116
132
30
159
452
206
116
130
179
419
132
26
183
549
765
562
134
6
299
155
1.106
557
123
12
16
15
1
8
50
28
33
1
21
23
142
120
521
32
78
516
32
119
333
398
857
52
142
105
78
24
385
119
11
127
138
25
96
9
525
1
66
14
44
58
714
18
229
2
114
11
120
29
141
352
190
94
122
134
376
129
25
151
531
747
512
118
6
20
274
7
147
177
898
61
480
7
3
3
64
I
14
21
22
26
2
9
3
7
2
17
5
2
10
1
3
11
25
3
1
2
6
9
3
3
5
1
31
16
See footDoles at end of table.
126
Table 7. — Number of Offenses Known to the Police, Universities and Colleges, 1990 — Continued
Univenity/CoUege
Studeni
enroll-
ment'
Violent'
cnme
total
Violent Cnme
Murder
and non-
ne^lgent
man-
slaughter
Forcible
rape
Aggra-
vated
assault
Property'
crime
total
Property Cnme
Burglary
Larceny-
theft
Motor
vehicle
theft
WEST VIRGINU— Contlnoed
Manball University
West Liberty State College
West Virginia State College
West Virginia Tech
West Virginia University
WISCONSIN
University of Wisconsin:
Eau Claire
Green Bay
La Crosse
Madison
Milwaukee
Oshkosh
Parlcside
Whitewater
WYOMING
University of Wyoming
12,350
2,435
4,509
2,955
18,746
11,038
5,221
9,242
43,364
25,212
11,209
5,172
10,458
10,773
146
25
50
14
413
151
54
165
1,037
406
194
110
163
364
1
43
104
18
4
4
20
125
23
45
10
383
151
53
120
895
382
188
106
141
356
3
19
'The student enrollment figures provided by the United States Department of Education are for 1 988, the most recent year available. The enrollment figure includes full-time and pan-time
students. See Appendix 1 for details.
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
'Property crimes are offenses of burglary, larceny-theft, and motor vehicle theft. Data are not included for the property crime of arson.
^Student enrollment figures were not available.
'Forcible rape figures furnished by the state-level Uniform Crime Reporting (UCR) Program administered by the Illinois Department of State Police were not in accordance with national UCR
guidelines. Therefore, the figures were excluded from the forcible rape and violent crime total categories.
NOTE; Caution should be exercised in making any inter-campus comparisons or ranking schools, as university/college crime statistics are affected by a variety of factors. These include:
demographic characteristics of the surrounding community, ratio of male to female students, number of on-campus residents, accessibility of outside visitors, size of enrollment, etc.
127
Table 8. — Number of Offenses Known to the Police, Suburban Counties, 1990
[The data shown in this table do not reflect county totals but are the number of offenses reported by the shenfTs office, county police department, or stale police.]
• Arson is shown only if 12 months of arson data were received. Leaders (...) indicate zero data. The Modified Crime Index total is the sum of the Crime Index
ofTenses, mcluding arson.
County by State
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson*
ALABAMA
1,272
415
414
129
44
398
572
512
6,839
428
235
971
2,271
972
413
356
462
420
1,492
520
6,959
12,091
285
309
402
584
129
425
3,050
1,129
282
676
3,561
116
127
2,586
231
40
5,628
939
12
2,439
227
7,925
124
51
15,129
285
38
50,577
780
488
1,719
149
1,666
167
5
2,728
164
960
6,994
12,175
286
312
403
591
129
443
3,090
1,129
288
679
3,597
127
2,690
40
5,682
12
2,456
7,950
51
15,786
38
51,246
491
1,735
1,670
5
2,816
965
3
15
19
4
8
1
97
25
41
11
3
72
62
53
1,093
35
77
151
403
72
40
42
58
4
241
5
177
517
14
35
36
39
2
23
465
31
29
24
243
2
11
297
6
7
366
55
2
144
426
182
154
43
18
171
206
132
1,751
183
76
234
613
343
164
114
151
209
457
178
2,001
2,160
113
122
134
210
52
126
883
477
109
263
916
657
175
173
62
21
138
248
295
3,223
178
71
531
1,103
481
185
168
203
153
680
274
4,057
8,505
138
122
190
276
38
229
1,460
471
124
307
1,816
55
29
31
12
4
44
19
554
23
7
42
96
49
16
22
35
39
95
56
614
691
14
2
32
38
35
33
147
132
10
68
406
114
4
10
173
Calhoun
4
3
Colbert
Dale
1
2
2
2
13
3
1
3
6
4
5
5
52
2
2
5
11
13
3
5
9
1
7
5
6
153
4
5
39
13
5
4
4
14
15
6
54
120
Etowah
Houston
Lawrence
Mobile
Montsomerv
Russell
1
2
St. Clair
Shelby
4
42
83
5
7
7
9
14
15
6
1
35
84
ARKANSAS
1
15
2
12
1
4
40
4
2
2
149
3
Faulkner
1
7
1
10
1
9
45
13
8
8
24
18
40
Sebastian
6
4
7
3
CALIFORNIA
36
3
18
4
34
31
1,041
74
1,177
52
19
3,262
115
6
1,196
39
3,281
27
31
7,749
114
37
13,908
24
190
1,053
35
718
Butte
9
104
Rutte State Police
1
193
13
1,737
6
44
20
769
1
20
188
747
91
5
1,015
166
54
Contra Costa Highway Patrol
1
14
2
1,041
El Dorado
9
15
17
17
110
173
1,136
6
2
1,556
5
2,461
25
1
434
12
4,176
Kern
30
169
657
Keni Highway Patrol
1
10,394
215
400
4,664
12,125
178
41
243
8,871
578
52
13
114
669
3
13
35
47
167
348
3
Marin
2
16
10
28
30
194
2
1
171
686
4
165
4
1,447
14
557
9
52
39
1,006
4
150
6
88
Napa
4
10
16
75
292
5
128
Table 8. — Number of Offenses Known to tbe Police, Suburban Counties, 1990 — Continued
County by State
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson*
CALIFORNIA— CoDtiniied
Napa Highway Patrol
Orange
Orange Highway Patrol
Orange State Police
Placer
Placer Highway Patrol
Riverside
Riverside Highway Patrol
Riverside State Police
Sacramento
Sacramento Highway Patrol ...
Sacramento State Police
San Bernardino
San Bernardino Highway Patrol
San Bernardino State Police ...
San Diego
San Diego Highway Patrol
San Diego State Patrol
San Joaquin
San Joaquin Highway Patrol ..
San Joaquin State Police
San Mateo
San Mateo Highway Patrol
San Mateo State Police
Santa Barbara
Santa Barbara Highway Patrol
Santa Clara
Santa Clara Highway Patrol ...
Santa Clara State Police
Santa Cruz
Santa Cruz Highway Patrol ...
Shasta
Shasta Highway Patrol
Shasta State Police
Solano
Solano Highway Patrol
Solano State Police
Sonoma
Sonoma Highway Patrol
Sonoma State Police
Stanislaus
Stanislaus Highway Patrol
Stanislaus State Police
Sutter
Sutter Highway Patrol
Tulare
Tulare Highway Patrol
Ventura
Ventura Highway Patrol
Ventura State Police
Yolo
Yolo Highway Patrol
Yolo State Police
Yuba
Yuba Highway Patrol
COLORADO
Adams
Arapahoe
Boulder
Douglas
El Paso
JefTerson
Larimer
Pueblo
Weld
102
7,802
7,908
187
26
26
3,151
3,160
224
25,334
25,444
188
26
26
33,372
33,451
5,861
709
710
16,772
16,867
108
68
70
26,754
26,996
139
105
106
5,916
6,011
772
71
71
3,611
3,615
17
12
12
4,141
4,182
261
3,005
3,018
223
41
44
3,807
3,823
375
2,014
2,031
170
26
26
715
731
93
2
2
4,017
4,074
551
80
80
5,319
5,460
452
6
6
1,120
1,120
35
4,959
5,273
479
1,950
1,993
43
542
548
47
12
12
2,187
2,205
104
4,204
3,373
1,361
1,104
2,680
5,370
1,062
765
1,436
4,254
3,396
1,383
1,127
2,697
5,485
1,071
769
1,447
12
42
7
45
56
91
45
273
9
42
130
45
164
22
88
8
II
2
46
5
39
4
34
3
26
4
14
10
43
12
69
2
8
12
42
2
32
4
8
2
18
149
I
31
557
1,291
10
358
3
754
1
172
51
4
114
603
109
3
292
2,496
19
3,086
3
72
2,144
5
2
2,450
1
2
342
332
6
368
2
6
279
123
1
2
93
1
428
7
1,001
3
136
867
215
5
82
I
459
1,850
7
963
8,463
9,205
147
5,842
17
7,962
27
2,363
15
1,024
6
1,573
798
17
1,193
783
12
306
1
1,394
38
1,733
437
1,243
653
179
7
604
31
4,199
18
14
1,800
66
9,903
8
17
19,241
385
420
6,432
3
43
10,597
32
61
2,920
81
52
1,738
6
2,134
59
1,711
12
17
2,224
66
1,038
26
II
275
22
2,084
149
24
2,367
37
6
481
2,703
67
852
12
1
261
20
2
1,079
263
1,069
2,419
120
1,003
2,072
66
445
724
49
284
709
206
741
1,557
63
1,284
3,711
19
209
797
55
207
466
92
440
796
71
947
59
2
13
158
3,768
161
1
231
5,473
51
1,824
100
3
4,782
106
14
9
691
2
698
17
24
196
53
209
1
22
309
19
143
I
6
71
7
402
7
23
412
412
174
26
5
104
339
140
67
51
121
238
35
29
73
129
Table 8. — Nnmber of Offenses Known to the Police, Suborban Counties, 1990 — Continued
County by Sute
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson*
DELAWARE
7,793
6,316
508
9,365
12,679
4,143
8,069
125,416
4,270
9,990
34,227
5,544
31,268
9,663
12,808
17,181
3,639
3,424
6,341
517
1,731
1,227
3,291
2,721
2,558
10,405
371
17,070
222
44,028
25
493
2,270
619
1,781
176
10,008
17,143
393
385
303
308
1,059
2,054
1,400
1,790
7,847
6,334
511
9.418
12,721
4,143
8,104
125,810
4,287
10,036
34,235
5,555
31,417
9,727
12,893
17,192
3,653
3,443
6,365
10,439
17,146
44,266
10,031
17,261
1,798
7
3
145
53
8
55
106
24
104
802
22
68
169
30
192
53
22
55
14
33
37
2
20
10
38
28
22
69
87
252
5
157
770
68
196
8,368
33
318
1,183
109
747
124
198
455
65
55
156
2
25
29
64
28
38
246
415
339
103
652
1,295
416
746
10,747
539
933
2,920
362
2,361
632
1,187
1,700
353
265
502
43
22
55
198
197
98
448
7
607
11
911
2
17
101
16
83
22
288
536
27
11
2
26
50
112
156
69
12
71
1
195
104
16
1,816
750
158
2,434
3,009
1,067
2,510
29,017
1,052
2,927
9,585
2,227
7,846
2,496
3,124
5,608
878
1,074
1,741
186
442
322
851
807
650
2,474
4
3,521
77
10,074
6
184
636
204
548
24
2,142
3,429
134
136
155
118
423
568
457
440
76
376
52
1.377
640
70
42
126
474
318
177
4,533
4.361
199
5.586
6.157
2.260
3.998
58.249
2.442
4.976
17.235
2.569
17.289
5.759
7.657
7.977
2.135
1,664
3,320
229
1,048
708
1,935
1,470
1.556
6,046
359
10.684
94
24.248
14
248
1,257
357
1,025
102
5,350
11,400
183
215
131
122
497
1,194
623
1,197
206
752
53
3,127
2,390
166
107
136
534
396
321
790
558
35
474
1,311
307
498
18,020
182
763
3,105
245
2,801
589
616
1.352
192
328
582
54
169
101
199
186
191
1.113
1
1,722
35
6,566
2
23
221
39
116
16
1,815
1.378
43
22
14
34
74
154
118
60
17
51
16
615
241
13
8
1
56
61
21
54
New Castle State Police
18
FLORIDA
3
7
31
1
17
213
53
Broward
42
Qav
Collier
35
Dade
394
17
Manatee
5
30
2
32
10
4
34
2
5
3
1
5
2
6
5
3
9
46
8
11
149
Pasco
64
Pinellas
85
Polk
11
14
St Lucie
19
Seminole
24
GEORGIA
Bibb
Catoosa
Clavton Police Deoartnient
34
22
1
36
130
2
344
384
2
1,849
1
15
34
3
5
II
343
308
76
Dade
DeKalb Police Denartment
238
6
12
9
4
1
63
80
3
7
12
2
1
23
118
Lee
6
6
20
25
6
1
23
2
8
6
17
17
1
Rockdale
4
I
IDAHO
8
2
Champaign
1
8
Cook
4
3
1
63
15
40
Dii Paae
36
4
1
3
14
17
4
9
27
118
10
2
Ktot
9
Kankakee
2
17
2
130
Table 8. — Number of Offenses Known to the Police, Suburban Counties, 1990 — Continued
County by Sute
Crime
Index
total
Modified*
Crime
Inden
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson*
ILLINOIS '— Continiied
Lake
McHenry
McLean
Macon
Menard
Monroe
Peoria
Rock Island
St. Clair
Sangamon
Tazewell
WiU
Winnebago
Woodford
INDIANA
Allen
Allen Sute Police
Qark
Qark State Police
Elkhart
Elkhart State Police
Hamilton
Hamilton State Police
Hancock
Hancock State Police
Harrison
Harrison State Police
Howard
Howard State Police
Lake
Lake State Police
Marion
Marion State Police
Monroe
Monroe State Police
Porter
Porter State Police
St. Joseph
St. Joseph State Police
Tippecanoe
Tippecanoe State Police
IOWA
Black Hawk
Bremer
Dubuque
Johnson
Linn
Polk
Pottawattamie
Scott
Warren
Woodbury
KANSAS
Butler
Douglas
Harvey
Johnson
Leavenworth
Miami
Sedgwick
Shawnee
Wyandotte
2,523
2,525
179
179
328
330
204
205
2,191
2,196
121
121
745
745
62
62
499
501
47
47
505
505
140
141
472
475
44
44
2,028
2,035
387
388
20,253
20,318
557
557
203
203
124
125
925
930
92
92
2,583
2,590
183
183
850
851
110
110
297
160
365
532
639
1,473
279
449
428
243
552
217
60
369
277
199
2,006
1,238
71
297
161
365
533
647
1,488
279
450
243
17
15
2
168
14
14
2,032
32
2
311
6
145
33
21
22
2
6
86
6
65
118
3
242
124
3
38
246
22
20
8
4
5
113
17
44
6
114
93
391
105
36
32
12
70
108
227
50
10
13
7
21
6
1
34
20
8
218
85
965
1,653
508
1,295
203
248
150
414
25
32
51
67
298
1,074
81
134
366
574
410
497
73
120
743
1,903
661
1,416
44
90
672
24
78
66
578
17
320
9
190
4
163
62
130
8
297
18
4,063
31
70
31
126
8
613
56
212
11
87
45
39
130
198
307
106
92
172
78
1,589
104
230
65
1,275
72
335
31
268
26
208
49
268
25
1,088
131
1 3,696
241
127
67
696
50
1,784
76
574
70
162
75
298
302
298
817
83
324
223
152
290
217
78
123
28
23
128
190
120
114
89
90
573
1,040
398
704
II
48
274
67
13
24
4
64
4
95
62
13
296
113
186
29
18
29
63
8
59
13
35
10
16
7
26
5
482
141
1,607
160
6
15
65
18
109
24
31
15
18
7
4
10
16
9
127
30
3
131
Table 8. — Number of Offenses Known to the Police, Suburban Counties, 1990 — Continued
County by State
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson*
KENTUCKY
Boone
Boone Police Department
Boone State Police
Bourbon
Bourbon State Police
Boyd
Boyd Police Department
Boyd State Police
Bullitt
Bullitt Sute Police
Campbell Police Department
Campbell State Police
Carter
Carter State Police
Christian
Christian Police Depariment
Christian State Police
Clark
aark State Police
Daviess
Daviess State Police
Fayette State Police
Greenup
Greenup State Police
Henderson
Henderson State Police
Jefterson Police Department
JefTerson State Police
Jessamine
Jessamine State Police
Kenton Police Department .
Kenton State Police
Oldham
Oldham Police Department
Oldham State Police
Scott
Scott State Police
Shelby
Shelby State Police
Woodford Police Department
Woodford State Police
LOUISIANA
Ascension
Bossier
Caddo
Calcasieu
East Baton Rouge
Jefferson
Lafayette
LaFourche
Livingston
Ouachita
St. Charles
St. Martin
St. Tammany
Terrebonne
West Baton Rouge
MAINE
Androscoggin
Androscoggin State Police ..
Cumberland
Cumberland State Police ...
g«
86
1.003
1,003
37
39
49
49
101
101
46
46
3
3
218
224
295
295
124
129
253
254
18
18
15
15
179
186
345
345
71
71
48
50
245
247
73
74
237
237
252
256
9
9
85
85
142
154
301
303
124
127
15,045
15,099
13
13
251
252
61
66
328
332
32
32
6
6
360
364
74
74
361
363
24
25
154
154
179
180
216
216
7
7
1,123
737
1,687
5,148
9,060
30,491
1,997
822
917
1,644
2,007
562
3,973
1,965
617
243
69
732
112
1.124
739
1.688
5,156
9,076
30,657
2,006
822
921
1,650
2,017
563
3,991
1,990
617
244
69
734
112
13
9
5
14
51
46
179
21
12
6
18
10
8
40
17
2
143
23
7
12
79
110
1,273
41
23
II
6
41
4
57
35
5
22
44
32
13
10
7
14
23
1
1
16
8
28
426
5
2
10
34
6
1
22
II
16
2
4
34
36
I
85
43
182
625
391
1,739
227
85
239
84
583
40
318
180
29
17
203
8
22
44
8
I
77
113
28
84
1
7
90
101
9
11
106
19
79
78
46
52
96
39
2,763
75
18
133
3
107
11
83
9
36
48
74
280
172
546
1,241
1,980
6,094
604
208
505
510
394
195
1,161
650
75
HI
33
283
49
53
699
15
21
32
30
1
105
145
43
126
7
6
41
169
21
11
114
44
128
132
5
32
43
186
40
10,950
7
155
19
122
13
5
215
47
235
6
100
37
90
5
674
497
846
2.952
5,964
18,115
992
438
140
984
884
300
2,178
1,028
485
115
30
384
47
15
15
1
4
16
9
9
688
1
18
5
32
6
51
9
84
192
561
3,042
108
49
11
40
94
14
212
50
19
132
Table 8. — Number of Offenses Known to the Police, Suburban Counties, 1990 — Continued
County by State
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
MARVIAND
Allegany
Allegany State Police
Allegany County Investigator
Anne Arundel Police Department
Anne Arundel State Police
Baltimore Police Department
Baltimore Sute Police
Calvert
Calvert Sute Police
Carrol]
Carroll Sute Police
Cecil
Cecil Sute Police
Charles
Charles Sute Police
Fredericic
Frederick Sute Police
Harford
Harford Sute Police
Howard
Howard Sute Police
Montgomery
Montgomery Police Department ..
Montgomery Sute Police
Prince Georges Police Department
Prince Georges Sute Police
Queen Anne's
Queen Anne's Sute Police
Washington
Washington Sute Police
MASSACHUSETTS
Berkshire Sute Police
Hampden Sute Police
Hampshire Sute Police
Plymouth Sute Police
Worcester Sute Police
MICHIGAN
Bay
Bay Sute Police
Berrien
Berrien Sute Police
Calhoun
Calhoun Sute Police
Qinton
Clinton Sute Police
Eaton
Eaton Sute Police
Genesee
Genesee Sute Police
Ingham
Ingham State Police
Jackson
Jackson State Police
Kalamazoo
Kalamazoo Sute Police
Kent
Kent Sute Police
Lapeer
Lapeer Sute Police
Livingston
Livingston Sute Police
Macomb
Macomb Sute Police
Midland
Midland Sute Police
62
604
2
16.528
1,358
41,827
113
511
562
41
1,640
575
1,269
4,032
511
927
1,254
2,953
885
8,130
157
2
29,615
48
44,370
246
287
606
764
555
110
49
49
129
40
733
1,033
1,117
1,024
484
282
403
13
2,743
279
478
738
1,302
320
928
566
2,416
60
4,141
797
1,174
270
832
1.167
2,198
557
804
20
62
614
2
16,679
1,358
42,258
113
511
573
41
1,656
575
1,320
4,032
560
927
1,295
2,953
930
8,130
221
2
30,015
48
44,698
246
287
620
764
585
110
49
49
129
40
734
1,042
1,127
1,034
487
286
405
16
2,753
283
483
743
1.316
323
968
576
2.436
62
4.154
806
1.178
277
838
1.181
2.200
568
808
20
23
106
108
6
257
2
5
3
195
441
2
I
3
3
4
325
16
1,707
1
4
7
807
2
3.606
4
37
653
75
4.959
19
37
85
3
57
98
185
448
61
108
198
191
110
405
28
2
1,064
9
3,373
32
25
67
55
30
30
42
78
88
45
24
21
2
163
8
61
82
116
7
105
138
80
3
124
9
103
21
75
54
121
25
99
I
15
148
3,669
102
7,812
1
137
128
11
427
181
377
764
71
154
242
900
185
1,795
7
4,778
4
8,569
10
80
163
164
157
44
332
2
9,909
931
22,021
70
267
315
26
1,033
242
594
2,331
294
614
716
1,643
447
4,803
96
19,788
31
19,317
131
177
326
502
315
130
525
229
671
313
584
251
580
147
262
80
145
79
263
1
7
533
1,829
29
200
112
253
193
336
251
829
13
251
207
551
124
242
420
1,763
8
41
824
2,919
186
559
336
678
70
125
172
507
325
708
524
1,364
125
340
164
511
6
12
1,854
227
5,037
20
60
24
I
94
36
91
376
73
40
61
150
106
980
17
2,960
2
8,958
67
4
37
37
41
28
49
77
53
19
21
19
3
159
12
36
69
63
11
30
26
104
7
174
30
51
17
57
50
153
51
15
1
133
Table 8. — Number of Offenses Known to the Police, Suburban Counties, 1990 — Continued
County by State
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
MICHIGAN— Contintted
Monroe
Monroe State Police
Muskegon
Muskegon State Police
Oakland
Oakland State Police
Ottawa
OtUwa State Police
Saginaw
Saginaw State Police
St. Clair
St. Clair State Police
Washtenaw
Washtenaw State Police
Wayne
Wayne State Police
MINNESOTA
Anoka
Benton
Carver
Chisago
Clay
DakoU
Hennepin
Isanti
Olmsted
Ramsey
St. Louis
Scott
Sherburne
Steams
Washington
Wright
MISSISSIPPI
Harrison
Hinds
Madison
Rankin
MISSOURI
Boone
Buchanan
Christian
Clay
Franklin
Greene
Jackson
Jasper
JefTerson
Lafayette
Platte
St. Charles
St. Louis Police Department .
MONTANA
Yellowstone
NEBRASKA
Dakota
Douglas
Douglas State Patrol
Lancaster
3,841
868
1,155
337
6,848
533
2,484
184
1,479
706
1,968
488
4,350
649
581
262
745
133
1,760
12
594
3,876
882
1,160
338
6,923
547
2,496
186
1,479
712
2,002
508
4,393
659
588
284
455
465
311
315
252
252
998
999
158
159
198
202
241
245
463
463
487
497
166
166
853
866
347
349
422
423
833
834
672
682
1,304
1,320
2,380
2,411
607
611
575
581
833
850
731
161
162
414
415
188
188
1,305
1,305
1,519
1,525
803
807
654
654
3,423
3,474
129
129
455
457
2,196
2,208
14,360
14,477
747
133
12
605
101
2
17
9
9
208
284
679
2,539
46
189
521
39
261
754
25
51
231
413
1,214
4,577
69
168
230
73
428
1,830
4
44
120
177
233
966
95
156
371
no
433
1,265
31
139
277
371
863
2,661
42
111
266
31
6
393
57
31
83
117
14
43
22
119
23
2
18
114
42
SI
2
241
6
44
345
1,046
164
54
43
192
48
75
47
165
178
28
387
67
113
181
180
248
1,184
346
193
396
185
49
159
59
487
438
237
214
1,286
44
150
444
2,931
159
29
294
I
162
210
211
171
677
88
88
132
231
260
130
366
237
238
578
412
907
718
199
275
342
399
76
234
90
581
953
456
377
1,653
61
229
1,273
9,067
497
89.
1,315
5
389
260
76
70
IS
505
35
90
8
82
43
105
24
279
142
145
59
53
34
22
94
8
22
IS
51
30
7
59
34
42
54
63
86
214
40
28
60
22
7
15
15
100
66
49
41
177
15
27
103
1,016
58
59
3
26
134
Table 8. — Number of Offenses Known to the Police, Suburban Counties, 1990 — Continued
County by State
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
NEBRASKA— Continued
Lancaster State Patrol
Sarpy
Saipy State Patrol
Washington
asbington State Patrol
NEVADA
Washoe
NEW JERSEY
Atlantic State Police ....
Bergen State Police
Burlington State Police .
Camden State Police
Cape May State Police .
Cumberland State Police
Essex County Police
Essex State Police
Gloucester State Police .
Hudson State Police ....
Hunterdon State Police .
Mercer State Police
Middlesex State Police ..
Monmouth State Police .
Morris State Police
Ocean State Police
Passaic State Police
Salem State Police
Somerset State Police ...
Sussex State Police
Union State Police
Warren Slate Police
NEW MEXICO
Dona Ana
NEW YORK
Albany
Albany State Police
Broome
Broome State Police
Chautauqua
Chautauqua State Police
Chemung
Chemung State Police
Dutchess
Dutchess State Police ...
Erie
Erie State Police
Greene State Police
Herkimer State Police ..
Livingston
Livingston State Police .
Madison
Madison State Police ...
Monroe
Monroe State Police
Nassau
Nassau State Police
Niagara
Niagara State Police ....
Oneida
Oneida State Police
Onondaga
Onondaga State Police ..
62
822
5
116
2
1,839
1,535
395
753
60
512
1,067
590
98
25
63
267
351
148
353
61
163
22
406
21
640
51
309
1,871
62
822
5
120
2
1,839
1,545
396
766
62
515
1,095
597
102
26
63
269
352
149
354
62
164
23
426
23
650
52
316
1,879
113
114
766
770
1,007
1,021
705
1,069
1,095
495
496
408
409
423
1,109
1,129
1,177
1,183
2,245
1,064
1,075
710
712
536
546
734
734
202
203
118
119
493
498
5,791
5,809
1,173
1,175
31,918
32,256
46
47
2,079
2,079
668
676
591
595
1,453
1,466
3,769
3,798
1,659
34
29
19
37
4
13
2
10
8
112
10
19
1
3
58
4
1,014
4
35
2
4
4
47
6
151
56
23
63
15
31
127
125
24
4
4
12
7
16
31
7
16
128
19
23
21
19
13
29
26
67
47
174
277
104
98
21
54
18
32
75
4
859
20
124
34
5
55
102
10
3
167
33
590
122
45
221
14
200
293
81
4
4
5
88
32
2
72
8
22
137
4
194
6
106
913
20
114
257
194
239
84
92
70
283
369
339
191
237
272
169
36
52
134
764
70
5,207
5
408
102
174
304
660
212
38
575
4
75
882
1,254
243
366
26
238
519
202
43
12
48
137
271
103
21S
38
109
15
183
6
326
24
142
674
69
380
665
469
798
366
269
273
690
544
1.510
706
343
226
492
137
61
315
4,499
1,038
17,573
15
1,376
494
367
1,055
2,747
1,356
161
106
4
40
52
12
5
13
13
11
73
63
94
56
27
11
7
7
4
5
366
51
7,181
1
112
34
37
31
183
70
135
Table 8. — Nmnber of Offenses Known to the Police, Suburban Counties, 1990 — Continued
County by State
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
NEW YORK— Contiiiiwd
Ontario
Ontario State Police
Orange
Orange State Police
Orleans
Orleans State Police
Oswego
Oswego State Police
Putnam
Putnam State Police
Rensselaer
Rensselaer State Police
Rockland
Rockland SWte Police
Saratoga
Saratoga State Police
Schenectady
Schenectady State Police
Suffolk
Suffolk Police Department ....
Suffolk State Police
Tioga
Tioga State Police
Warren
Warren Sute Police
Wayne
Wayne Suie Police
Westchester
Westchester State Police
NORTH CAROLINA
Alamance
Alexander
Buncombe
Burke
Cabarrus
Catawba
Cumberland
Davidson
Davie
Durham
Forsythe
Franklin
Gaston
Guilford
Lincoln
Mecklenburg
New Hanover
Onslow
Orange
Randolph
Rowan
Stokes
Union
Wake
Yadkin
NORTH DAKOTA
Burleigh
Cass
Grand Forks
Morton
OHIO
Auglaize
Clark'
See footnote al end of table.
1,258
1,265
494
494
2
2
1,589
298
89
89
863
913
629
632
600
604
207
208
346
789
795
114
114
93
93
1,229
1,245
954
956
12
12
121
121
140
140
53,748
55,232
93
93
357
155
157
1,215
1,219
317
319
917
923
602
606
581
585
791
806
1,061
1,068
545
545
2,745
2,768
1,177
1,180
1,022
1,026
1,776
1,781
11,214
11,296
2,061
2,088
516
517
1,162
1,168
1,834
1,939
609
612
3,160
3,198
3,210
3,242
1,334
1,354
5,037
5,064
2,611
2,614
2,557
2,584
1,201
1,201
1,680
1,680
1,886
1,901
714
720
1,569
1,571
2,935
3,001
386
387
123
105
125
164
314
123
105
125
166
314
2
128
5
1
2
9
2
7
6
4
3
7
1,419
3
2
14
1
21
13
13
3
246
17
3
16
18
6
39
26
12
79
26
36
13
13
14
2
9
23
92
39
18
25
17
30
17
41
52
25
5
41
41
I
5
102
1,433
17
76
9
3
16
26
23
131
16
319
82
346
74
40
214
187
150
76
99
209
II
305
264
8
39
14
11,158
24
91
43
290
54
252
156
27
172
105
429
829
388
2
982
161
24
580
409
366
102
191
487
86
44
837
607
1
72
10
31,816
41
167
91
884
247
607
383
430
379
66
386
520
5
271
241
112
1,096
1,282
70
519
496
11
424
511
356
548
763
548
3,362
6,167
76
978
824
25
212
227
152
265
642
100
778
821
40
325
204
160
1,375
1,393
253
1,082
1,681
72
523
633
300
1,605
2,840
138
804
1,526
49
853
1,489
16
425
663
88
808
697
121
655
959
76
238
343
74
603
794
134
1,140
1,359
6
151
199
74
82
70
114
167
1,897
37
7
121
19
5
33
7
44
II
12
31
2
30
30
28
4
5
7,762
3
19
9
28
10
26
20
78
94
60
23
207
64
57
89
774
145
48
76
100
31
171
139
85
180
109
104
68
70
118
52
81
253
27
11
6
12
7
18
216
136
Table 8. — Number of Offenses Known to the Police, Suburban Counties, 1990 — Continued
County by State
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson*
OHIO— Continued
Oermont
Delaware
Franklin
Fulton
Geauga
Greene
Hamilton
Jefferson
Lake
Licking
Lorain
Lucas
Montgomery
Richland
Union
Washington
Wood
OKLAHOMA
Canadian
Cleveland
Comanche
Creek
Garfield
Logan
McCIain
Oklahoma
Osage
Pottawatomie
Rogers
Sequoyah
Tulsa
Wagoner
OREGON
Oackamas
Clackamas State Police ....
Jackson
Jackson State Police
Lane
Lane State Police
Marion
Marion State Police
Multnomah
Multnomah State Police ...
Polk
Polk State Police
Washington
Washington State Police ...
Yamhill
Yamhill State Police
PENNSYLVANIA
Allegheny State Police
Beaver State Police
Berks State Police
Bucks State Police
Cambria State Police
Carbon State Police
Centre State Police
Chester Detective
Chester State Police
Columbia State Police
Cumberland State Police
Dauphin State Police
1,256
674
5.256
396
441
337
7,905
524
922
1,332
1.335
2,022
4,453
1,372
411
583
595
242
382
257
795
106
384
261
297
376
584
424
337
2,403
436
7,126
118
1,451
215
1,318
566
3,139
281
3,267
91
369
11
3,885
31
682
4
623
278
620
491
277
447
840
17
1,618
191
517
782
1,264
674
5,287
399
441
338
7,952
525
929
1,343
1,344
2,045
4,492
1,373
414
588
600
243
399
258
831
106
398
266
300
381
590
425
343
2,421
438
7,137
152
1,459
218
1,328
592
3,149
304
3,295
91
373
12
3,908
42
685
5
634
283
623
497
290
447
857
17
1,644
191
524
808
7
5
157
1
2
1
123
I
5
8
35
22
139
12
123
2
8
4
11
11
60
2
62
3
6
73
50
371
747
3
197
423
134
1,137
3,279
42
104
226
14
72
306
47
84
194
131
1,027
6,177
29
129
309
12
187
664
124
314
794
305
390
512
39
375
1,399
84
1,119
2,525
121
384
780
50
72
256
7
196
343
14
168
363
II
28
31
65
7
26
31
19
16
70
18
9
354
18
121
21
156
38
52
68
371
44
272
2
43
104
37
34
33
31
22
58
1
108
101
113
191
134
68
138
330
294
47
50
151
180
126
85
128
122
178
154
255
218
201
142
178
116
683
1,057
196
190
1,702
17
336
42
401
188
612
34
844
2
116
3
1,172
5
179
160
96
242
124
97
241
289
1
595
75
132
161
4.428
52
852
91
772
196
1,873
158
1,717
63
170
6
2,242
17
416
2
203
112
266
266
108
164
427
3
690
105
276
456
47
43
488
20
44
10
393
55
47
91
67
165
522
74
32
27
45
10
21
19
95
1
20
16
19
19
27
55
25
226
25
690
19
80
27
68
84
191
30
334
14
29
1
328
3
49
1
104
27
55
54
31
14
46
1
176
9
50
60
137
Table 8. — Number of Offenses Known to the Police, Soburban Counties, 1990 — Continued
County by State
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson*
PENNSYLVANU— ContiBued
Delaware Criminal Investigation
39
1,230
1,488
2,019
231
365
929
735
971
387
1,373
419
388
597
8
789
46
2,535
770
51
148
373
3,762
4,755
3,260
7,942
2,157
3,569
11,610
6,303
1.256
8,532
11,056
3,718
398
727
557
364
1,780
224
5,958
722
544
568
5.336
1,715
834
207
869
862
8.352
685
1.669
40
1,241
1.513
2.203
300
367
941
795
1.000
398
1.392
433
389
604
8
833
46
2.609
793
148
376
3.804
4.840
3.284
8.002
2.165
3.595
11.719
6.330
1,264
8,581
11,167
3,758
399
733
380
1,820
224
6,112
732
570
5,353
845
211
894
919
8,428
697
1,677
12
7
20
25
6
8
9
11
10
6
14
7
3
7
4
14
10
38
4
2
II
10
13
2
9
7
2
5
17
28
53
264
23
18
51
64
16
12
38
54
7
53
4
37
3
110
15
8
35
51
482
469
274
1,155
239
513
1,356
696
157
1,123
1,616
527
19
43
25
II
125
5
220
420
739
101
125
280
229
354
124
637
101
123
267
334
773
363
15
8
119
1,320
1,477
871
1,815
444
1,167
2,842
1,576
359
2,018
2,387
1,145
115
144
227
91
694
88
1,754
207
184
166
1,510
534
258
77
316
278
2,740
250
554
1
753
889
663
76
171
499
356
478
202
562
210
220
220
4
308
41
1,207
322
17
80
157
1.507
2,347
1.805
4.157
1.278
1.536
6.287
3,437
651
3,513
6,150
1,743
246
475
251
214
795
112
3,655
404
263
294
2,648
894
427
83
432
424
4,072
307
682
1
208
94
284
20
41
79
61
99
41
107
37
33
43
11
2
6
1
25
184
Lackawanna State Police
69
2
Lehieh State Police
12
Luzerne State Police
4
1
60
Lvcomins State Police
29
II
6
3
19
MontBomerv State Police
14
I
Somerset State Police
2
7
10
32
4
12
88
44
1
2
3
30
7
381
56
11
23
31
308
346
241
552
137
242
710
425
58
1,123
600
220
13
35
48
39
129
17
254
29
23
39
691
130
51
26
72
53
965
63
111
74
23
RHODE ISLAND
1
13
55
40
35
83
30
47
97
50
19
154
91
34
4
25
I
5
10
5
16
12
5
I
1
72
69
29
171
28
54
304
112
9
578
202
40
5
3
2
21
2
86
II
3
2
105
14
2
3
6
87
9
19
WasbingtOD State Police
1
18
7
5
9
1
10
14
7
3
23
10
9
3
SOUTH CAROUNA
Aiken
42
Anderson
85
Berkeley
24
Charleston Police DcDartment
60
8
Florence
26
Greenville
109
27
8
Richland
49
111
York
40
SOUTH DAKOTA
1
6
TENNESSEE
2
2
6
16
Hamilton
40
13
3
180
56
66
63
293
129
81
20
40
72
422
42
288
154
Madison
10
Robertson
4
4
3
2
2
Shelby
85
11
13
17
Sumner
II
4
1
4
13
5
5
5
25
53
9
10
25
TEXAS
Bell
57
Bexar
76
12
Brazoria
8
138
Table 8. — Number of Offenses Knoini to the Police, Suburban Counties, 1990 — Continued
County by Stale
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
then
Motor
vehicle
theft
TEXAS— ContiniMd
Brazos
Cameron
CoUin
Comal
Coryell
Dallas
Denton
Ector
Ellis
EI Paso
Fort Bend
Galveston
Grayson
Gregg
Guadalupe
Hardin
Harris
Harrison
Hays
Hidalgo
JefTerson
Johnson
Kaufman
Liberty
Lubbock
McLeiman
Midland
Montgomery
Nueces
Orange
Parker
Potter
Randall
Rockwall
San Patricio
Smith
Tarrant
Taylor
Tom Green
Travis
Victoria
Waller
Webb
Wichita
Williamson
UTAH
Davis
Salt Lake
Utah
Weber
VIRGINU
Alt>emarle Police Department
Albemarle Sute Police
Amherst
Amherst State Police
Botetourt
Botetourt State Police
Campbell
Campbell Sute Police
Charies City
Charles City Sute PoUce
Chesterfield Police Department
Chesterfield Sute Police
Dinwiddie
Dinwiddie Sute Police
290
290
1,806
1.826
839
844
785
787
187
190
700
744
955
958
2,093
2,109
919
920
2,463
2,477
3,264
3,336
1,074
1,083
1,053
1,065
681
686
613
613
393
396
42,621
43,139
553
554
783
784
4,422
4,437
612
616
972
975
954
956
683
685
796
805
928
933
849
852
6,561
6,673
294
295
770
774
1,053
1,062
219
221
276
278
153
155
576
577
2,255
2,282
1,843
1,869
180
183
378
378
4,799
4,817
520
521
198
202
291
292
255
266
1,951
1,961
230
16,958
358
786
17,024
786
1,678
1,678
15
17
621
627
16
16
401
401
13
14
844
850
21
21
60
60
17
17
8,454
8,543
60
60
372
372
II
11
6
210
25
4
29
8
2
4
3
24
8
13
35
7
4
14
6
4
1
16
1
1
1
5
3
16
I
11
54
5
3
49
50
20
4
12
3
2
1,469
4
3
62
4
3
3
4
8
8
3
155
56
23
12
193
76
15
196
243
lOI
65
25
82
9
50
2,004
42
67
201
27
43
48
99
91
51
44
382
13
27
49
29
18
10
20
135
181
13
92
139
24
15
45
25
165
10
858
21
20
138
1.095
340
315
72
179
374
530
409
912
1.304
474
506
227
307
130
12,185
189
292
2.641
219
432
365
296
236
407
296
1.938
99
311
492
51
85
67
234
676
634
69
111
1,559
180
100
113
106
481
59
2,651
97
183
306
3
84
71
136
2
19
183
4
37
12
1,573
II
128
139
477
383
389
86
269
417
1,395
296
1,053
1,462
424
457
308
276
193
17,568
289
381
1,247
300
408
461
234
396
420
465
3,607
158
368
466
120
153
55
297
1,257
886
90
157
2.692
293
59
96
99
1,164
144
12,707
209
532
1,195
10
442
9
300
10
527
II
16
3
6.236
39
187
10
9
46
45
50
15
38
74
106
12
162
329
77
47
40
18
12
9.111
3
32
225
53
82
70
46
41
31
31
534
14
46
25
12
14
19
25
127
113
2
II
297
9
15
29
14
98
4
551
18
40
84
I
15
4
18
2
31
6
3
2
349
6
21
I
139
Table 8. — Number of Offenses Known to the Police, Suburban Counties, 1990 — Continued
County by State
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
VIHGINU— Continued
Fairfax Police Department
Fairfax State Police
Fluvanna
Fluvanna State Police
Gloucester
Gloucester State Police
Goochland
Goochland State Police
Greene
Greene State Police
Hanover
Hanover State Police
Henrico Police Department
Henrico State Police
James City Police Department ...
James City State Police
Loudoun
Loudoun State Police
New Kent
New Kent State Police
Pittsylvania
Pittsylvania State Police
Powhatan
Powhatan State Police
Prince George
Prince George State Police
Prince William Police Department
Prince William State Police
Roanoke Police Department
Roanoke State Police
Scott
Scott State Police
Stafford
Stafford State Police
Washington
Washington State Police
York
York State Police
WASHINGTON
Benton
Clark
Franklin
King
Kitsap
Pierce
Snohomish
Spokane
Thurston
Whatcom
Yakima
WEST VIRGINIA
Brooke
Brooke State Police
CabeU
Cabell State Police
Hancock
Hancock State Police
Kanawha
Kanawha State Police
Marshall
Marshall State Police
Mineral
Mineral State Police
Ohio
Ohio State Police
27,208
27,406
44
44
102
105
3
3
600
605
26
26
232
232
5
5
160
161
2
2
1,267
1,267
74
74
10,084
10,180
44
44
1,192
1,192
6
7
1,594
1,597
21
21
247
249
22
22
784
787
56
57
143
144
13
13
561
564
5
5
7,860
7,966
33
33
1,889
1,901
31
32
273
281
9
12
1,236
1,260
27
27
527
531
16
19
1,222
1,224
5
5
1,063
6,140
487
28,459
4,549
16,206
6,403
6,657
2,561
1,715
4,101
165
4
880
164
129
9
1,054
573
184
30
25
179
164
34
1,075
6,175
490
28,778
4,571
16,309
6,469
6,677
1,725
4,129
169
4
885
164
130
9
1,054
577
187
30
25
184
168
34
95
2
1
2
1
4
3
1
9
19
57
4
21
1
9
1
8
7
1
8
1
1
9
60
1
7
1
2
4
12
3
17
2
11
21
47
7
457
54
227
85
45
64
44
80
490
1
201
I
13
133
3
20
1
4
1
45
2
440
31
299
70
38
19
4
37
391
3
8
26
. 1
23
3
378
I
110
44
259
3
104
167
109
25
870
187
1,023
301
130
195
92
142
14
2,725
I
42
I
148
3
97
2
37
230
7
1,623
7
148
238
4
50
5
227
8
42
3
151
1,125
298
4
105
3
262
193
1
229
312
1,434
145
6,251
1.062
3,658
1,801
1,864
801
484
1,732
46
252
52
45
I
343
211
73
12
9
73
51
2
21,426
31
49
2
367
20
120
3
909
55
7,276
32
849
5
1,139
14
154
15
462
12
79
8
335
4
5,717
25
1,384
20
122
4
822
23
253
10
815
4
511
4,072
284
17,812
2,972
9,852
3,682
4,166
1.335
1.007
1,864
89
I
491
76
60
5
522
242
73
9
u
92
85
23
2,054
6
3
29
2
8
3
1
78
8
530
3
47
107
2
14
2
21
30
15
1
23
I
557
2
75
5
12
2
103
4
35
5
64
1
48
424
24
2,614
240
1.131
457
410
144
83
238
12
1
41
27
17
I
122
77
12
8
2
8
14
5
140
Tabte 8.— Number of Offenses Known to the Police, Suburban Counties, 1990 — Continued
County by State
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
ArK)n*
WEST VIRGINIA— Condniied
Putnam
Putnam State Police
Wayne
Wayne State Police
Wood
Wood State Police
WISCONSIN
Brown
Calumet
Chippewa
Dane
Douglas
Eau Claire
Kenosha
La Crosse
Marathon
Milwaukee
Outagamie
Ozaukee
Racine
Rock
St. Croix
Sheboygan
Washington
Waukesha
Winnebago
WYOMING
Laramie
Natrona
446
65
137
244
374
59
1,339
235
359
1,449
437
450
1,389
364
779
618
1,208
248
889
596
459
651
1,056
1,410
569
469
492
446
66
140
245
375
59
1,348
235
360
1,460
439
460
1,402
364
780
624
1,208
248
892
603
463
657
1,062
1,416
571
479
494
42
9
15
291
6
18
II
63
50
20
30
29
23
41
34
31
29
101
2
149
21
57
82
75
30
80
131
274
23
50
138
268
16
207
1,013
66
142
72
249
260
818
210
203
148
261
277
989
40
243
174
509
5
540
171
976
56
153
162
636
141
386
100
277
172
420
232
745
302
894
146
390
303
296
1
II
2
10
13
10
2
'Forcible rape flgures furnished by the stale-level Uniform Crime Reporting (UCR) Program administered by the Illinois Department of State Police were not in accordance with national UCR
guidelines. Therefore, the figures were excluded from the forcible rape, Crime Index total, and Modified Crime Index total categories.
^Aggravated assault figures are not comparable to prior years due to a change in reporting procedures.
141
Table 9. — Number of Offenses Known to the Police, Rural Counties 25,000 and over in Population, 1990
[The data shown in Ibis table do not reflect county totals but are the number of ofrcnscs reported by the shenfTs office, county police depaitment. or state police.]
• Ar^on is shown only if 12 months of arson data were received. Leaders (...) indicate zero data. The Modified Cnme Index total is the sum of the Crime Index
offenses, including arson.
County by State
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
ALABAMA
De Kalb .
Jackson . .
Lee
Limestone
Marshall .
Talladega
ARIZONA
Apache ..
Cochise .
Coconino
Mohave .
Navajo . .
Pinal ....
Yavapai .
ARKANSAS
Benton
Garland
Independence
Mississippi ...
White
CAUFORNIA
Calaveras
Calaveras Highway Patrol
Humboldt
Humboldt Highway Patrol
Imperial
Imperial Highway Patrol
Kings
Kings Highway Patrol
Lake
Lake Highway Patrol
Madera
Madera Highway Patrol
Mendocino
Mendocino Highway Patrol
Nevada
Nevada Highway Patrol
San Luis Obispo
San Luis Obispo Highway Patrol
Tehama
Tehama Highway Patrol
Tuolumne
Tuolumne Highway Patrol
COLORADO
Mesa
DELAWARE
Kent State Police .
Sussex State Police
FLORIDA
Columbia
Highlands
Lake
Monroe . .
Putnam . .
109
358
606
324
348
146
185
931
720
1,656
554
1,563
868
781
278
827
535
485
873
51
1,808
73
1,419
110
1,067
95
1,340
56
2,051
117
1,441
145
1,775
111
1,634
128
709
66
1,171
87
1,730
1,781
2,857
814
2,144
3,320
4,627
3,515
186
942
721
1,678
560
1,568
876
783
278
828
541
489
886
1,826
1,438
1,083
1,343
2,084
1,451
1,777
1,642
731
1,181
1,744
1,783
2,857
817
2,154
3.329
4,632
3,532
103
91
14
33
92
287
59
121
70
94
104
83
99
337
194
2
112
4
253
198
12
86
63
86
234
451
117
280
375
528
422
42
170
210
98
150
34
70
369
241
650
210
568
290
270
127
192
156
215
419
694
481
417
430
947
709
569
459
239
366
340
419
745
369
772
1,131
1,132
1,352
45
129
276
106
171
87
88
453
365
607
251
701
415
423
87
576
246
204
342
8
960
796
14
506
25
543
847
7
550
32
937
29
929
36
370
7
733
15
1,206
889
1,389
223
906
1,439
2,652
1,444
17
40
27
29
21
13
9
62
18
97
25
103
71
37
40
32
32
36
3
43
10
73
12
96
8
70
8
56
7
108
16
109
4
82
2
80
59
2
72
89
112
142
62
134
296
221
148
142
Table 9.— Number of Oflenses Known to the Police, Rural Counties 25,000 and over in Population, 1990 — Continued
County by Slate
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
GEORGIA
Boyd Police Department
Glynn Police Department
Hall
Whitfield
HAWAII
Hawaii
Kauai
Maui
IDAHO
Bonneville
Canyon
Kootenai
ILLINOIS '
Adams
La Salle
Ogle
Vermilion
INDUNA
Bartholomew
Bartholomew State Police
Grant
Grant State Police
La Grange
La Grange Slate Police .
La Porte
La Porte State Police ...
Wayne
Wayne State Police
KANSAS
Riley Police Department
KENTUCKY
Floyd
Floyd State Police
Hardin
Hardin Sute Police
Harlan
Harlan State Police
Knox
Knox Sute Police
Laurel
Laurel Stale Police
McCracken
McCracken State Police
Perry
Perry State Police
Pike
Pike State Police
Pulaski
Pulaski State Police
Warren
Warren State Police
LOUISUNA
Acadia
Plaquemines
St. Landry
See footnote at end of table.
2,003
2,243
3,202
2,054
4,068
2,596
6,592
787
1,024
957
298
48
425
20
251
77
894
74
395
52
239
47
444
67
287
6
309
10
288
370
359
633
105
2
474
73
833
425
61
183
568
513
639
800
2,081
4,105
2,605
6,657
789
1,028
965
302
48
425
21
253
78
895
74
397
53
47
489
73
288
6
329
10
304
370
382
633
108
2
493
73
886
425
61
183
577
514
639
807
1
5
5
6
8
10
1
3
5
78
166
180
143
116
88
195
22
128
3
71
12
6
3
162
107
51
91
678
579
898
694
1,043
597
1,518
161
409
340
161
188
41
353
66
3
117
2
73
21
241
6
131
II
69
18
133
30
95
87
3
115
137
122
120
26
2
125
15
255
124
22
72
190
95
137
240
1,049
1,241
1,852
969
2,580
1,766
4,483
539
469
519
196
254
94
585
198
24
249
10
141
25
547
23
223
20
137
22
201
31
81
4
111
7
76
183
102
366
45
168
42
410
254
24
106
159
286
416
399
162
164
219
190
274
120
329
57
79
26
37
3
41
14
10
14
3
10
16
47
20
24
10
10
3
37
4
14
34
58
21
83
32
4
37
13
76
30
4
2
42
17
17
40
143
Table 9. — Number of Offenses Known to the Police, Rural Counties 25,000 and over in Population, 1990 — Continued
County by State
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson*
LOUISIANA— Contlniied
Vermilion
Vernon
MAINE
Aroostook
Aroostook State Police
Hancock
Hancock State Police
Kennebec
Kennebec State Police
Penobscot
Penobscot Sute Police
Somerset
Somerset State Police
Waldo
Waldo State Police
York
York Sute Police
MARYLAND
Garrett
Garrett Sute Police
St. Mary's
St. Mary's SUte Police
Wicomico
Wicomico State Police
MICHIGAN
Allegan
Allegan SUte Police
Barry
Barry Sute Police
Cass
Cass Sute Police
Grand Traverse
Grand Traverse Sute Police .
Hillsdale
Hillsdale Sute Police
Ionia
Ionia Sute Police
Isabella
Isabella State Police
Lenawee
Lenawee Sute Police
Montcalm
Montcalm Sute Police
Newaygo
Newaygo Stale Police
St. Joseph
St. Joseph State Police
Sanilac
Sanilac Sute Police
Shiawassee
Shiawassee Sute Police
Tuscola
Tuscola Sute Police
Van Buren
Van Buren Sute Police
MINNESOTA
Crow Wing
Itasca
Otter Tail
691
857
170
479
456
53
323
406
630
260
334
204
167
91
335
393
312
252
1,982
568
606
614
1,278
620
593
469
815
236
930
458
423
209
347
440
280
444
820
289
1,160
352
501
401
607
294
187
290
401
186
484
302
1,048
1,103
976
607
678
691
859
173
479
456
53
323
406
635
260
335
204
168
91
344
393
312
263
1.988
594
606
634
1,295
637
599
482
826
245
933
459
428
215
354
447
281
446
830
293
1,168
361
507
404
608
304
297
402
188
490
310
1,057
1,131
981
611
679
10
70
4
16
2
9
4
17
3
7
3
8
2
37
4
20
2
17
5
13
I
16
3
3
18
2
7
5
21
1
51
2
18
1
13
2
11
70
23
1
7?
15
I
2
4
10
1
4
33
20
2
20
16
69
22
310
69
156
89
171
172
74
208
139
21
112
175
215
99
83
90
55
36
145
130
65
77
555
169
100
166
291
192
155
158
268
87
160
110
127
67
89
113
69
154
225
96
369
134
227
145
178
83
45
99
131
57
150
90
421
420
326
229
281
455
532
86
209
301
22
190
187
386
113
208
77
101
32
155
197
160
123
998
260
310
292
786
340
329
238
454
100
640
281
232
109
176
261
180
236
487
144
592
154
217
177
370
143
59
141
206
83
274
133
535
479
563
315
344
20
36
9
44
9
5
9
24
17
25
35
18
2
9
23
31
14
25
70
51
14
42
58
31
26
26
46
15
22
29
17
10
22
21
16
18
41
10
52
19
11
29
26
27
7
14
29
8
28
18
51
67
53
48
28
144
Table 9. — Nomber of Offenses Known to the Police, Rural Counties 25,000 and over in Population, 1990 — Continued
County by Sute
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson*
MISSISSIPPI
Jones
Lee
Warren
MISSOURI
Camden
Cole
Johnson
Pulaski
St. Francois
MONTANA
Flathead
Gallatin
NEW HAMPSHIRE
Hillsboro State Police
Rockingham State Police ...
NEW MEXICO
San Juan
NEW YORK
Allegany State Police
Cattaraugus
Cattaraugus State Police
Cayuga
Cayuga State Police
Chenango
Chenango State Police
Qinton
Clinton Sute Police
Columbia
Columbia State Police
Delaware
Delaware State Police
Franklin State Police
Fulton
Fulton Slate Police
Genesee
Genesee State Police
Jefferson
Jefterson State Police
Otsego
Otsego Sute Police
St. Lawrence
St. Lawrence State Police ...
Schoharie
Schoharie Sute Police
Steuben
Steuben Sute Police
Tompkins
Tompkins Sute Police
Ulster Sute Police
Wyoming
Wyoming Sute Police
NORTH CAROLINA
Beaufort
Bnmswick
CaldweU
Carteret
Chatham
371
459
556
496
452
288
104
212
1,519
421
764
563
427
595
382
546
349
251
5
1,345
367
553
122
422
638
645
115
600
186
476
764
119
SII
728
651
136
269
404
645
698
445
1,146
613
169
742
411
1,433
885
863
371
460
557
499
455
104
212
1,529
423
767
571
449
598
391
550
254
5
1,350
373
559
676
656
115
189
497
765
661
139
269
442
650
700
449
1,168
626
172
748
411
1,449
885
866
19
96
71
23
58
50
76
34
13
1
164
8
37
5
32
78
45
3
II
31
II
18
4
18
90
60
22
161
185
234
245
123
121
58
80
277
96
181
235
150
195
139
145
97
112
1
354
149
155
41
200
214
198
47
148
32
150
221
54
156
193
263
53
105
144
164
160
104
440
241
33
345
194
514
365
390
202
155
272
209
272
140
22
104
1,084
286
388
247
221
326
166
297
208
116
3
807
189
325
66
173
329
379
57
411
112
289
509
60
325
409
300
77
125
255
417
484
311
555
268
45
288
156
713
464
383
56
20
II
22
16
12
18
115
22
70
5
32
3
21
23
9
10
10
21
31
9
16
II
16
7
21
II
16
13
I
7
30
19
6
16
5
34
32
16
49
35
13
42
44
86
38
39
145
Table 9.— Number of Offenses Known to the Police, Rural Counties 25,000 and over in Population, 1990 — Continued
County by State
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson*
NORTH CAROLINA— Continoed
2,051
1,098
761
894
1,900
753
1,163
1,336
454
1,610
822
784
785
615
1,018
1.550
518
1,079
1.077
900
966
1.599
866
229
1,241
276
377
396
947
1,068
492
626
211
637
351
342
314
598
683
65
1,049
226
1,322
1,353
46
903
310
1,231
64
606
554
1,241
449
595
712
981
2,053
1,129
771
905
1,930
757
1,170
1,349
463
1,610
829
796
792
616
1,028
1,559
518
1,081
1,080
910
972
1,605
874
231
1,251
276
388
397
947
1,085
492
630
212
638
353
351
330
602
687
66
1,054
227
1,326
1,370
56
907
319
1,239
65
633
574
1,273
465
609
726
1 995
5
8
4
6
6
5
5
10
1
5
16
30
17
4
7
23
4
3
19
1
17
2
14
4
14
21
23
4
76
82
81
16
217
13
55
59
12
49
5
26
36
16
36
103
64
155
83
54
39
64
85
II
13
54
7
27
54
40
54
25
55
37
5
37
893
507
383
378
807
370
505
613
261
660
386
297
255
241
384
612
148
518
353
412
349
677
325
43
308
71
45
134
229
278
130
193
31
166
105
85
88
160
203
7
288
53
434
15
426
3
316
83
472
16
239
180
443
180
257
316
355
959
396
247
429
666
338
458
532
172
741
372
382
441
294
513
701
247
310
541
329
493
716
378
151
847
127
312
199
618
675
287
349
125
389
209
202
190
368
366
37
666
120
731
796
26
503
137
623
31
276
304
588
219
266
288
451
87
78
41
53
165
27
129
98
7
129
46
53
37
42
61
94
51
82
82
78
72
116
67
16
55
15
12
30
36
58
19
43
2
31
10
Halifax
11
30
4
8
10
1
12
7
8
10
3
2
13
7
Iredell
13
9
2
4
4
2
5
1
4
4
9
6
2
6
3
2
Lee
7
12
McDowell
7
Moore
1
Nash
10
9
5
2
9
2
13
2
8
9
7
2
10
16
5
10
7
3
10
6
Wayne
6
Wilkes
8
NORTH DAKOTA
Ward
2
OHIO
1
8
1
2
7
10
1
6
10
11
1
3
3
4
8
1
3
17
Ottawa
Preble
2
4
1
1
2
6
2
5
16
8
II
11
5
3
18
10
15
13
13
5
1
37
25
16
29
38
50
7
71
33
101
8
86
5
47
38
82
7
60
35
121
24
33
72
78
1
2
9
2
3
4
16
Wayne
1
1
12
51
10
14
14
45
21
20
4
21
39
36
2
25
27
63
15
21
22
68
4
OREGON
Coos
4
1
2
3
2
2
10
1
10
4
5
1
15
5
Deschutes State Police
1
4
2
4
3
17
10
Klamath
2
4
Klamath State Police
9
2
8
1
PENNSYLVANIA
27
20
6
32
16
2
14
14
Franklin State Police
1
14
See footnote ai end of ubie.
146
Table 9. — Number of Offenses Known to tbe Police, Rnral Counties 25,000 and over in Population, 1990 — Contiiiiied
County by State
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson*
PENNSYLVANU— Contianed
Greene Stale Police
Huntingdon State Police
Indiana State Police
Jefferson State Police
Lawrence State Police
Northumberland State Police
Schuylkill Sute Police
Snyder State Police
Tioga State Police
Venango State Police
Warren
Warren Sute Police
Wayne Slate Police
SOUTH CAROLINA
Beaufort
Cherokee
Chesterfield
Colleton
Darlington
Georgetown
Greenwood
Horry Police Department
Kershaw
Lancaster
Laurens
Oconee
Orangeburg
Sumter
Williamsburg
TENNESSEE
Bradley
Greene
Hamblen
Roane
TEXAS
Anderson
Angelina
Bastrop
Henderson
Hunt
Rusk
Starr
Van Zandt
Wise
UTAH
Cache
VIHGINU
Accomack
Accomack State Police
Augusta
Augusta State Police
Bedford
Buchanan
Buchanan State Police
Fauquier
Fauquier State Police
Franklin
Franklin State Police
Frederick
528
505
819
334
507
332
744
277
396
618
35
293
614
640
747
450
677
598
780
740
981
715
798
661
509
533
671
385
52
981
44
618
313
105
600
16
504
5
1,023
544
518
848
348
522
335
779
277
403
626
35
298
615
4,919
4,937
180
186
643
663
974
991
1,665
1,678
1,157
1,163
1,356
1,371
5,581
5,598
1,033
1,038
1,596
1,604
580
585
968
975
3,289
3,333
2.694
2,711
642
649
640
766
450
690
605
788
749
982
721
803
663
512
533
671
385
54
985
46
624
314
110
605
16
509
5
1,023
74
6
9
25
31
13
18
82
7
27
5
4
113
47
15
50
53
3
106
102
II
68
118
52
35
93
32
20
210
215
312
146
159
114
239
98
233
214
10
131
340
171
333
142
191
188
248
341
499
305
348
260
190
210
105
108
10
157
2
200
74
29
101
2
155
218
234
374
156
241
182
357
148
126
317
15
121
196
476
1,157
2,975
39
49
50
93
228
258
157
253
449
259
517
673
165
394
493
179
349
729
420
1,504
3,084
91
312
561
183
413
852
141
188
188
71
312
528
738
858
1,277
573
823
1,023
160
222
190
174
319
266
258
317
264
454
282
313
303
348
239
243
262
536
208
29
695
34
356
154
48
435
II
310
3
761
84
31
79
18
56
14
72
19
23
65
I
25
39
192
29
39
80
152
78
64
432
55
103
44
45
251
189
40
82
81
42
45
31
44
30
40
47
53
59
30
37
25
20
9
48
3
34
44
18
37
3
24
52
147
Table 9. — Number of Offenses Known to the Police, Rural Counties 25,000 and over in Population, 1990 — Continued
County by Sute
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson*
VIRGINIA— Continiied
40
349
21
1,891
26
329
33
2,032
65
329
55
193
14
1,110
756
741
1,019
694
510
993
1,226
977
896
431
118
212
380
130
149
319
161
444
80
126
306
92
908
197
156
218
286
352
1,094
234
605
368
632
403
452
319
422
467
772
597
567
191
602
718
575
532
40
352
23
1,903
26
335
34
2,032
65
329
59
202
16
1,114
758
751
1,020
695
517
1,234
982
931
431
118
217
381
133
152
320
164
446
80
127
314
92
908
199
162
228
287
357
1,107
234
612
371
635
404
452
324
429
471
772
608
568
191
602
743
575
535
2
27
3
122
1
513
1
83
1
225
3
61
7
58
1
290
171
248
363
257
136
399
541
269
254
193
47
74
147
46
74
124
43
92
19
48
96
37
346
70
40
52
60
85
286
44
208
104
158
133
99
112
85
93
379
241
130
13
165
184
200
148
34
182
8
1,182
11
219
11
1,607
49
147
33
117
8
696
496
403
509
341
300
452
550
555
518
188
64
107
179
54
58
165
71
250
33
27
165
43
424
56
25
77
205
217
683
166
295
239
409
218
301
172
297
316
346
286
374
173
371
474
301
339
1
6
10
99
12
7
18
151
7
16
10
10
4
50
46
27
97
48
47
59
62
105
30
34
7
21
32
27
7
19
21
55
1
26
19
12
49
37
25
62
14
44
70
19
38
20
53
30
21
21
37
36
36
60
23
1
43
49
25
38
Halifax
2
3
7
2
22
3
2
10
7
58
2
13
2
26
1
100
3
4
1
46
27
27
19
34
21
64
46
18
84
S
12
Henrv State Police
Rockiagbam
1
4
4
4
4
2
3
2
6
2
17
1
Snot<:vlvania State Police
1
4
Wise
1
9
Wi^fi State Police
2
WASHINGTON
1
1
16
14
31
23
5
3
11
20
26
5
3
11
1
5
7
3
3
8
5
3
3
4
4
2
10
Grant
1
6
1
1
Island
7
Mason
2
2
1
8
5
WEST VIRGINIA
35
Berkeley State Police
1
2
7
1
5
1
15
2
6
8
16
36
24
15
19
5
1
1
3
1
2
2
3
2
8
6
3
Jefferson State Police
1
1 osan State Police
3
3
3
2
McDowell
McDowell State Police
8
4
2
2
1
1
8
2
2
2
3
4
4
5
2
1
2
10
2
5
83
4
56
16
3
3
32
2
57
3
10
22
26
12
1
17
7
4
35
1
16
7
47
2
24
3
6
3
1
7
2
Mingo
Mingo State Police
6
10
1
Mononsalia State Police
5
Raleigh
6
1
13
WISCONSIN
2
2
1
7
3
Columbia
1
3
3
1
2
2
5
7
4
3
5
4
1
6
2
1
3
4
1
1
1
11
1
2
'
2
25
1
Wood
2
'■
148
Table 9. — Number of Offenses Known to the Police, Rural Counties 25,000 and over in Population, 1990 — Continued
County by State
Crime
Index
total
Modified*
Crime
Index
total
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson*
STATE AGENCIES
Alaska State Police
5,966
22
171
9,431
130
2,027
6,780
M
4,984
6,046
22
9,524
130
2,042
14
5,000
17
90
19
604
16
1,485
3,154
6
597
80
Arizona Department of Public Safety . .
Colorado State Patrol
171
814
27
210
348
Connecticut State Police
Minnesota Highway Patrol
New Mexico State Police
7
98
105
28
8
1,120
8
341
181
14
234
3,045
5
705
2,662
4.242
89
697
3,531
93
12
6
34
44
15
Vermont State Police
Wisconsin State Patrol
OTHER AREAS
Guam
10
90
44
925
3,344
337
16
'Forcible rape figures furnished by the state-level Uniform Crime Reporting (UCR) Program administered by the Illinois Department of State Police were not in accordance with national UCR
guidelines. Therefore, the figures were excluded from the forcible rape. Crime Index total, and Modified Crime Index total categories.
'Larceny-theft figures are not comparable to prior years.
149
Table 10.— Crime Trends, Offenses Known to the Police, Population Group, 1989-1990
[1990 population)
Population group
Crime
Index
total
ModiHed
Crime
Index
total'
Violent
crime^
Property
crime'
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
TOTAL ALL AGENCIES:
12,454 agencies;
population 219,097,000:
1989
1990
Percent change
TOTAL CmES: 8,681 cities;
popiUation 149,235,000:
1989
1990
Percent change
12,426,279
12,579,081
-1-1.2
10,301,256
10,429,435
-1-1.2
Group I
58 cities, 250,000 and over;
population 42,418,000:
1989
1990
Percent change
8 cities, 1,000,000, and over;
population 19,953,000;
1989
1990
Percent change
14 cities, 500,000 to 999,999;
population 9,368,000:
1989
1990
Percent change
36 cities, 250,000 to 499,999;
population 13,097,000:
1989
1990
Percent change
Grow II
122 cities, 100.000 to 249,999;
population 17,751,000:
1989
1990
Percent change
Group III
317 cities, 50,000 to 99,999;
population 21,580,000:
1989
1990
Percent change
Group IV
634 cities, 25,000 to 49,999;
population 21,910,000:
1989
1990
Percent change
270,966
287,532
-I-.4
,025,157
,021,758
-.2
907,809
936,395
+3.1
,338,000
,329,379
-.6
1,439,727
1,461,146
-1-1.5
1,363,678
1,386,506
-1-1.7
12,521,455
12,676,981
-(■1.2
10,376,673
10,506,652
-t-1.3
4,308,053
4,325,783
-I-.4
2,045,378
2,042,777
-.1
914,750
943,507
-1-3.1
1,347,925
1,339,499
-.6
1,450,958
1,472,674
-1-1.5
1,373,206
1,396,097
-1-1.7
1,435,727
1,581,544
-1-10.2
1,231,846
1,362,195
-1-10.6
696,994
766,047
-1-9.9
410,619
445,839
-1-8.6
111,751
128,983
-H5.4
174,624
191,225
-1-9.5
158,393
176,103
-H1.2
131,950
150,420
-1-14.0
10,990,552
10,997,537
-t-.l
9,069,410
9,067,240
3,573,972
3,521,485
-1.5
1,614,538
1,575,919
-2.4
796,058
807,412
+ 1.4
1,163,376
1,138,154
-2.2
1,281,334
1,285,043
+.3
1,231,728
1,236,086
+.4
19,196
21,113
+10.0
15,467
17,212
+11.3
9,706
10,992
+ 13.2
5,554
6,313
+ 13.7
1,833
2,165
+ 18.1
2,319
2,514
+8.4
1,880
2,038
+8.4
1.275
1,390
+9.0
78,857
85,917
-W.O
60,964
66,444
+9.0
27,003
29,215
+8.2
10,205
10,649
+4.4
6,511
7,233
+ 11.1
10,287
11,333
+ 10.2
9,683
10,713
+ 10.6
8,509
9,009
+5.9
511,225
568,282
+11.2
471,779
526,682
+11.6
320,583
362,256
+ 13.0
201,010
227,167
+ 13.0
50,699
60,259
+ 18.9
68,874
74,830
+8.6
55,070
60,749
+ 10.3
41,135
45,348
+ 10.2
826,449
906,232
+9.7
683,636
751,857
+10.0
339,702
363,584
+7.0
193,850
201,710
+4.1
52,708
59,326
+ 12.6
93,144
102,548
+ 10.1
91,760
102,603
+ 11.8
81,031
94,673
+ 16.8
2,712,454
2,620,213
-3.4
2,115,980
2,039,262
-3.6
868,610
830,198
-4.4
378,228
364,481
-3.6
188,878
184,878
-2.1
301,504
280,839
-6.9
321,576
308,871
-4.0
288,758
279,048
-3.4
6,880,227
6,920,830
+.6
5,742,455
5,758,813
+.3
2,017,359
1,963,446
-2.7
849,507
806,227
-5.1
478,170
478,788
+.1
689,682
678.431
-1.6
813,055
820,293
+.9
796,321
807,278
+ 1.4
1,397,871
1,456.494
-M.2
1,210,975
1,269.165
+4.8
688,003
727,841
+5.8
386,803
405,211
+4.8
129,010
143,746
+ 11.4
172,190
178,884
+3.9
146,703
155,879
+6.3
146.649
149,760
+2.1
1,198,554
1,215,927
+ 1.4
1,205,488
1,223,130
+ 1.5
98,826
109,378
+ 10.7
1,099,728
1,106,549
+.6
1,108
1,116
+.7
6,322
7,083
+ 12.0
27,565
29,685
+7.7
63,831
71,494
+ 12.0
244,528
235,622
-3.6
754,627
767,804
+ 1.7
100,573
103.123
+2.5
150
Tabic 10.— Crime Trends, Offenses Known to the Police, Population Group, 1989-1990 — Continued
Population group
Crime
Index
total
Modified
Crime
Index
total'
Violent
crime^
Property
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson'
Group V
J,521 cities, 10.000 to 24,999;
population 24,103,000:
1989
1990
Percent change
Group VI
6,029 cities under 10,000;
population 21,474,000:
1989
1990
Percent change
SlTBURBAN COLWTIES
1,123 agencies;
population 42.626,000:
1989
1990
Percent change
RintAL Counties*
2,630 agencies;
population 27,236.000:
1989
1990
Percent change
1,114,130
1.139.033
-1-2.2
914,181
939.291
-1-2.7
1,571,923
1.386,246
-I-.9
333,100
363,400
-t-1.9
1,119,888
1,144,860
-1-2.2
919,080
944,108
-H2.7
1.386.216
1,601,450
-l-I.O
558,566
568,879
-1-1.8
81,926
89,022
4-8.7
63,757
71,225
4-11.7
153,354
164,771
-1-7.4
50.327
34,578
-t-8.0
1,032,224
1,050,011
-H.7
850,424
868,066
-1-2.1
1,418,369
1.421.473
+.2
502,573
508,822
-1-1.2
866
926
-1-6.9
632
750
■1-18.7
2.265
2,375
-(-4.9
1.464
1,526
-1-4.2
5,503
5,936
-1-7.9
3,944
4,488
-t-13.8
12,218
13,407
+9.7
5,675
6.066
-1-6.9
18,203
18,944
-1-4.1
9,223
9,700
-1-5.2
35.398
37,598
-1-6.2
4,048
4,002
-1.1
57,354
63,216
-1-10.2
49,958
56,287
-fl2.7
103,473
111,391
-1-7.7
39,340
42,984
-1-9.3
219,007
213,273
-2.6
173,501
172,250
-.7
407,605
394,116
-3.3
188,869
186,835
-1.1
733,443
736,367
4-2.8
623,650
643,625
-1-2.9
837,025
873,960
-1-2.0
280,747
288,057
-1-2.6
77,774
80,371
+ 3.3
51,273
32,191
-1-1.8
133,939
133,399
-.4
32,957
33,930
4-3.0
5,738
5,827
4-1.6
4,899
4,817
-1.7
14,293
13,204
4-6.4
5,466
5,479
4-.2
Suburban Area'
5,796 agencies;
population 88,007,000:
1989
1990
Percent change
3,626,229
3,686,573
4-1.7
3,652,007
3,713,472
4-1.7
305,576
330,694
4-8.2
3.320,653
3,355.879
4-1.1
3,767
3,973
4-5.5
21,625
23,620
4-9.2
74,848
79,629
4-6.4
205,336
223,472
4-8.8
802,847
779,629
-2.9
2,187,883
2,242,196
4-2.5
329,923
334,054
4-1.3
25,778
26,899
4-4.3
'The number of agency reports used in arson trends is less than used in compiling trends for other Crime Index offenses. It is not necessary to report arsons by property classification to be
included in this table. The Modified Crime Index total is the sum of the Crime Index offenses, including arson.
'Violent crimes arc offenses of murder, forcible rape, robbery, and aggravated assault.
•Property crimes are offenses of burglary, larceny-theft, and motor vehicle theft. Data are not included for the property crime of arson.
'Includes state police agencies with no county breakdown.
'Includes suburban city and county law enforcement agencies within metropolitan areas. Excludes central cities. Suburban cities and counties are also included in other groups.
Forcible rape figures furnished by the sUle-level Uniform Crime Reporting (UCR) Program administered by the Illinois Department of State Police were not in accordance with national UCR
guideUnes and were excluded from the forcible rape, violent crime. Crime Index total, and Modified Crime Index total categories.
151
Table 11. — Crime Trends, Offenses Known to the Police, Suburban and Nonsuburban Cities', Population Group, 1989-1990
[1990 estimated population]
Population group
Crime
Index
total
Modified
Crime
Index
total'
Violent
crime'
Property
crime*
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson'
Suburbu Cities
TOTAL SUBURBAN CITIES:
4,673 cides;
populatioii 45381.000:
1989
2,054,306
2,100,327
-t-2.2
2,065,791
2,112,022
-f2.2
152,222
165,923
-H>.0
1,902,084
1,934,404
-1-1.7
1,502
1,598
-rt.4
9,407
10,213
+8.6
39,450
42,031
+6.5
101,863
112,081
+10.0
395,242
385,513
-2.5
1,330,858
+2.8
175,984
180,655
+2.7
11,485
1990
11,695
+1.8
Group IV
470 cities, 25,000 to 49,999;
population 16,199,000:
1989
813,599
828,149
-I-I.8
715,751
734,388
-H2.6
524,956
537,790
-1-2.4
1,172,579
1,193,924
-1-1.8
818,466
833,319
-1-1.8
719,480
738,118
-1-2.6
527,845
540,585
-1-2.4
1,178,665
1,200,076
-t-1.8
67,907
74,555
-1-9.8
51,993
55,613
-1-7.0
32,322
35,755
4-10.6
92,287
103,702
-fl2.4
745,692
753,594
-t-1.1
663,758
678,775
+2.3
492,634
502,035
-1-1.9
1,080,292
1,090,222
-f.9
733
720
-1.8
485
558
-1-15.1
284
320
-1-12.7
1.104
1,194
-^8.2
3,896
4,295
+ 10.2
3,395
3,558
+4.8
2,116
2,360
+ 11.5
6,362
7,294
+14.6
20,123
21,699
+7.8
1 3,258
13.858
+4.5
6,069
6,474
+6.7
15,541
16.298
+4.9
43,155
47,841
+ 10.9
34,855
37,639
+8.0
23,853
26,601
+ 11.5
69,280
78,916
+13.9
163,157
157,117
-3.7
138,268
134,836
-2.5
93,817
93,560
-.3
241,794
235,632
-2.5
501,726
514,309
+2.5
464,988
480,960
+3.4
364,144
372,967
+2.4
784,862
799,560
+1.9
80,809
82,168
+ 1.7
60,502
62,979
+4.1
34,673
35,508
+2.4
53,636
55.030
+2.6
4,867
1990
5,170
+6.2
Group V
1,085 cities, 10,000 to 24,999;
population 17,293,000:
1989
3,729
1990
3,730
Group VI
3,118 cities under 10,000;
population 11,889,000:
1989
2,889
1990
2,795
-3.3
Nonsuburban Cities
TOTAL NONSUBURBAN
CITIES: 3,511 cities;
papuUdon 22,106,000:
1989
6,086
1990
6,152
+1.1
Group IV
164 cities, 25,000 to 49,999;
population 5,712,000:
1989
384,955
387,778
-I-.7
398,399
404,645
-M.6
389,225
401,501
-1-3.2
387,022
389,811
+.1
400,408
406,742
-t-1.6
391,235
403,523
-1-3.1
30,919
34,823
4-12.6
29,933
33,409
-t-11.6
31,435
35,470
-1-12.8
354,036
352,955
-.3
368,466
371,236
+.8
357,790
366,031
4-2.3
375
396
-1-5.6
381
368
-3.4
348
430
-1-23.6
2.426
2,788
+ 14.9
2,108
2,378
+ 12.8
1,828
2,128
+ 16.4
7,442
7,986
+7.3
4,945
5,086
+2.9
3,154
3,226
+2.3
70,676
23,653
+ 14.4
22,499
25,577
+ 13.7
26,105
29,686
+ 13.7
81,371
78,505
-3.5
80,739
78,437
-2.9
79,684
78,690
-1.2
252,901
253,495
+.2
270,455
275,407
+ 1.8
261,506
270,658
+3.5
19,764
20,955
+6.0
17,272
17,392
+.7
16,600
16,683
+.5
2,067
1990
2,033
Percent change
-1.6
Group V
436 cities, 10,000 to 24,999;
population 6,810,000:
1989
2,009
1990
2,097
+4.4
Group VI
2,911 cities under 10,000;
population 9,584,000:
1989
2,010
1990
2,022
+.6
'Suburban places are within Metropolitan Statistical Areas (MSAs) and include suburban city and county law enforcement agencies within Ihe metropolitan area. Central cities are excluded.
Nonsuburban places are outside MSAs.
TTie number of agencies used in arson trends is less than used in compiling trends for other Crime Index offenses. It is not necessary to report arsons by property classification to be included
in this table. The Modified Crime Index total is the sum of the Crime Index offenses, including arson.
^Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
^Property crimes are offenses of burglary, larceny-theft, and motor vehicle theft. Data are not included for the property crime of arson.
Forcible rape figures furnished by the state-level Uniform Crime Reporting (UCR) Program administered by the Illinois Department of State Police were not in accordance with national UCR
guidelines and were excluded from Ihe forcible rape, violent crime. Crime Index total, and Modified Crime Index total categories.
152
Table 12. — Crime Trends, Offenses Known to the Police, Suburban and Nonsuburban Counties, Population Group, 1989-1990
[1990 estimated population]
Population group
Crime
Index
total
ModiTied
Crime
Index
total'
Violent
crime'
Properiy
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
then
Motor
vehicle
theft
Arson'
Subiuban Counties'
100,000 and over
98 counties;
population 24,320,000:
1989
1990
Percent change
25.000 to 99.999
307 counties;
population 13.508.000:
1989
1990
Percent change
Under 25,000
714 counties;
population 2,712,000:
1989
1990
Percent change
Nonsuburtnn Counties'
25,000 and over
278 counties:
population 11,085,000:
1989
1990
Percent change
10,000 to 24,999
684 counties;
population 10,672,000:
1989
1990
Percent change
Under 10,000
1,590 counties;
population 5,052,000:
1989
1990
Percent change
1,060,807
1,072,855
-1-1. 1
376,543
378,269
+.5
132,646
133,153
+A
222,443
225,397
-1-1.3
173,650
177,913
+2.5
133,845
135.647
-1-1.3
1.070,256
1,083,358
-1-1.2
379,609
381,270
+A
134,424
134,853
224,267
227,381
-H.4
175,224
179,429
-1-2.4
135,786
137,518
-1-1.3
103,997
111,886
-1-7.6
34,588
37,551
-1-8.6
14,471
15,105
-1-4.4
19,246
20,834
-1-8.3
14,953
16,510
-1-10.4
13,617
14,311
-1-6.6
956,810
960,969
-I-.4
341.955
340,718
-.4
118,175
118,048
-.1
203,197
204,563
-I-.7
158,697
161.403
-t-1.7
120,228
121,136
+.8
1,385
1,478
-t-6.7
628
661
+5.3
245
232
-5.3
488
514
+5.3
494
506
+2.4
426
461
+8.2
7,006
7,883
+ 12.5
3.478
3,733
+7.3
1,711
1,768
+3.3
2,133
2,276
+6.7
1,468
1,595
+8.7
1,844
1,918
+4.0
29,496
31,321
+6.2
3,806
4,041
+6 2
2,067
2,212
+7.0
1,907
1.909
+.1
1,022
1,052
+2.9
922
885
-4.0
66,110
71,204
+7.7
26,676
29,116
+9.1
10,448
10,893
+4.3
14,718
16,135
+9.6
11,969
13,357
+ 11.6
10,425
11,247
+7.9
258,094
250,140
-3.1
116,015
112,226
-3.3
32,823
31,118
-5.2
73,711
72,092
-2.2
62,897
62,593
-.5
44,590
44,321
-.6
582,694
595.655
+2.2
203,166
205,915
+ 1.4
70,313
71,384
+ 1.5
116,631
119.156
+2.2
86,482
89,150
+3.1
66.787
68,000
+ 1.8
116.022
115,174
-.7
22.774
22.577
-.9
15,039
15,546
+3.4
12,855
13,315
+3.6
9,318
9,660
+3.7
i,851
!,815
-.4
9,449
10,503
+ 11.2
3,066
3,001
-2.1
1,778
1,700
-4.4
1,824
1.984
+8.8
1.574
1.516
-3.7
1,941
1,871
-3.6
'The number of agencies used in ar^on trends are less than used in compiling trends for other Crime Index offenses. It is not necessary to report arsons by property classification to be included
in this table. The Modified Crime Index total is the sum of the Crime Index offenses, including arson.
Violent crimes arc offenses of murder, forcible rape, robbery, and aggravated assault.
'Properly crimes are offenses of burglary. larceny-theft, and motor vehicle theft. Data are not included for the property crime of ar^on.
'Crime offenses include sheriffs' and county law enforcement agencies. State police offenses are not included.
Forcible rape figures furnished by the stale-level Uniform Crime Reporting (UCR) Program administered by the Illinois Department of State Police were not in accordance with national UCR
guidelines and were excluded from the forcible rape, violent crime. Crime Index total, and Modified Crime Index total categories.
153
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155
Table 14. — Crime Rates, Offenses Known to the Police, Population Group, 1990
(1990 population. Rate: Number of crimes per 100,000 inhabitams]
Population group
Crime
Index
total
Modified
Crime
Index
total'
Violent
crime^
Property
crime'
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson'
TOTAL ALL AGENCIES:
11,830 agencies;
population 220,643,000:
Number of offenses known
Rate
TOTAL CITIES: 8,068 cides;
population 148,133,000:
Number of offenses known
Rate
GROtJP I
62 cities, 250,000 and over;
population 44,529,000;
Number of offenses known
Rate
8 cities, 1,000,000 and over;
population 19,953,000:
Number of offenses known
Rate
16 cities, 500,000 to 999,999;
population 10,840,000:
Number of offenses known
Rate
38 cities, 250,000 to 499,999;
population 13,736,000;
Number of offenses known
Rate
Group II
127 cities, 100,000 to 249.999;
population 18,518,000:
Number of offenses known
Rate
GROin> III
314 cities, 50,000 to 99,999;
population 21,434,000:
Number of offenses known
Rate
13,291,165
6,023.8
1,691,885
766.8
11,599,280
5,257.0
22,022
10.0
94,349
42.8
608,464
275.8
967,050
438J
2,799,404
1,268.7
7,268,824
3,294.4
1,531,052
693.9
10,832,004
7312.4
1,430,085
965.4
9,401,919
6346.9
17,731
12.0
72,483
48.9
553,711
373.8
786,160
530.7
2,139,614
1,444.4
5,954,830
4,019.9
1,307,475
882.6
4,530,616
10,174.4
2,023,484
10,141.2
1,054,041
9,723.2
1,453,091
10,578.9
1,556,590
8,405.6
1,426,884
6,657.1
807,336
1,813.0
447,565
2,243.1
143,049
1,319.6
216.722
1,577.8
190,801
1,030.3
155,998
727.8
3,723,280
8,361.4
1,575,919
7,898.1
910,992
8,403.6
1,236,369
9,001.1
1,365,789
7,375.3
1,270,886
5,929.3
11,398
25.6
6,313
31.6
2,375
21.9
2.710
19.7
2,092
11.3
1,440
6.7
32,644
73.3
12,375
62.0
8,215
75.8
12,054
87.8
11,343
61.3
9,695
45.2
378,588
850.2
227,167
1,138.5
65,111
600.6
86,310
628.4
65,912
355.9
47,405
221.2
384,706
863.9
201,710
1,010.9
67,348
621.3
115,648
841.9
111,454
601.9
97,458
454.7
884,354
1,986.0
364.481
1,826.7
212,192
1,957.4
307,681
2,240.0
331,312
1,789.1
291,174
1,358.5
2,085,175
4,682.7
806,227
4,040.6
545,694
5,033.9
733,254
5,338.3
867,754
4,685.9
827,368
3,860.1
753,751
1,692.7
405,211
2,030.8
153,106
1,412.4
195,434
1,422.8
166,723
900.3
152,344
710.8
156
Table 14. — Crime Rates, Offenses Known to the Police, Population Group, 1990 — Contioued
[1990 population. Rate: Number of crimes per 100,000 inhabitants)
Population group
Crime
Index
total
Modified
Crime
Index
total'
Violent
crime'
Property
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson'
Groitp IV
624 cities, 25,000 to 49.999;
population 21.624,000:
Number of offenses known
Rate
Group V
1,413 cities, 10,000 to 24,999;
population 22,425,000:
Number of offenses known
Rate
Group VI
5,526 cities under 10,000;
population 19,602,000:
Number of offenses known
Rate
Suburban Counties
1,156 agencies;
population 45,805.000:
Number of offenses known
Rate
Rural Counties*
2,606 agencies;
population 26,705,000:
Number of offenses known
Rate
1,265,012
5,850.0
1,123,898
5,011.7
929,004
4,739.4
1,889,775
4,125.7
569,386
2,132.1
115.602
534.6
89,959
401.1
70,389
359.1
205,985
449.7
55,815
209.0
1,149,410
5,315.4
1.033,939
4,610.6
858,615
4,380.3
1,683,790
3.676.0
513.571
1.923.1
1,158
5.4
910
4.1
733
3.7
2.760
6.0
1.531
5.7
7.823
36.2
6.301
28.1
4,677
23.9
15.550
33.9
6.316
23.7
32,786
151.6
19,346
86.3
9,674
49.4
50.536
110.3
4.217
15.8
73,835
341.4
63,402
282.7
55,305
282.1
137,139
299.4
43,751
163.8
249,884
1.155.6
212.665
948.3
170.225
868.4
470.701
1.027.6
189.089
708.1
793.185
3,668.1
743,430
3,315.1
637,918
3.254.4
1,023.546
2,234.6
290,448
1.087.6
106,341
491.8
77,844
347.1
50,472
257.5
189.543
413.8
34.034
127.4
Suburban Area'
5,408 agencies;
population 88,435,000:
Number of offenses known
Rate
4,030,909
4,558.0
378,860
428.4
3.652.049
4,129.6
4,405
5.0
26,841
30.4
95,931
108.5
251,683
284.6
870,993
984.9
2,410,633
2,725.9
370,423
418.9
'Arson rales are not presented in this table because fewer agencies furnished complete reports for arson than for the other seven Crime Index offenses. Independently tabulated arson rates
appear on page 43 of this publication.
Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
"Property crimes are offenses of burglary, larceny-theft, and motor vehicle theft. Data are not included for the property crime of arson.
'Includes state police agencies with no county breakdown.
'Includes suburban city and county law enforcement agencies within metropolitan areas. Excludes central cities. Suburban cities and counties arc also included in other groups.
Population figures were rounded to the nearest thousand. All rates were calculated on the population before rounding.
Forcible rape figures furnished by the state-level Uniform Crime Reporting (UCR) Program administered by the Illinois Department of State Police were not in accordance with national UCR
guideUnes. See Appendix I for details.
157
Table 15. Crime Rates, Offenses Known to the Police, Suburban and Nonsuburban Cities', Population Group, 1990
[1990 population. Rate: Number of crimes per 100,000 inhabitants]
Population group
Crime
Index
total
Modified
Crime
Index
total=
Violent
crime'
Property
crime'
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson'
Saburinn Oties
TOTAL SUBURBAN CITIES:
4,252 cities;
populatioii 42,630,000:
Namber of offenses known ...
Kate
2,140,781
5,021.8
172,522
404.7
1,968,259
4,617.1
1,645
3.9
10,938
25.7
45,395
106.5
114,544
268.7
400,292
939.0
1,387,087
3,253.8
180,880
424.3
Group IV
465 cities, 25,000 to 49,999;
population 16,104,000:
Number of offenses known . .
Rate
884,471
5,492.1
722,188
4,528.0
534,122
5,050.3
1,176,834
5,598.3
80,959
502.7
56,205
352.4
35,358
334.3
103,129
490.6
803,512
4,989.4
665,983
4,175.6
498,764
4,716.0
1,073,705
5,107.7
778
4.8
551
3.5
316
3.0
1,156
5.5
4,681
29.1
3,815
23.9
2,442
23.1
7,564
3«.0
24,815
154.1
14,065
88.2
6,515
61.6
16,411
78.1
50,685
314.7
37,774
236.8
26,085
246.6
77,998
371.0
172,564
1,071.5
134,797
845.2
92,931
878.7
232,482
1,105.9
544,750
3,382.6
470,599
2,950.6
371,738
3,514.9
787,446
3,745.9
86,198
535.2
60,587
379.9
34,095
322.4
53,777
255.8
Group V
1,002 cities, 10,000 to 24,999;
population 15,949,000:
Number of offenses known . .
Rate
Group VI
2,785 cities under 10,000;
population 10,576,000:
Number of offenses known . .
Nonsaborbui Cities
TOTAL NONSUBURBAN
CITIES: 3J13 cities;
Number of offenses known . . .
Group IV
159 cities, 25,000 to 49,999;
population 5,520,000:
Number of offenses known . .
Rate
380.285
6,889.7
401,669
6,202.4
394,880
4,375.0
34,387
623.0
33,713
520.6
35.029
388.1
345,898
6,266.7
367,956
5,681.8
359,851
3,986.9
380
6.9
359
5.5
417
4.6
2,886
52.3
2,445
37.8
2,233
24.7
7,971
144.4
5,281
81.5
3,159
35.0
23,150
419.4
25,628
395.7
29,220
323.7
77,320
1,400.8
77,868
1,202.4
77,294
856.4
248,435
4,501.0
272,831
4,212.9
266,180
2,949.1
20,143
364.9
17,257
266.5
16,377
181.4
Group V
413 cities, 10,000 to 24,999;
population 6,476,000:
Number of offenses known . .
Group VI
2,741 cities under 10.000;
population 9,026.000:
Number of offenses known .
'Suburban places are within Metropolitan Statistical Areas (MSAs) and include suburban city and county law enforcement agencies within the metropolitan area. Central cities are excluded.
Nonsuburban places are outside MSAs.
'Arson rates are not presented in this table because fewer agencies furnished complete reports for arson than for the other seven Crime Index offenses. Independently tabulated arson rates
appear on page 43 of this publication.
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
'Profierty crimes are offenses of burglary, larceny-theft, and motor vehicle theft. Data are not included for the property crime of arson.
Population figures were rounded to the nearest thousand. All rates were calculated on the population before rounding.
Forcible rape figures furnished by the state-level Uniform Crime Reporting (UCR) Program administered by the Illinois Department of State Police were not in accordance with national UCR
guidelines. See Appendix I for details.
158
Table 16. — Crime Rates, Offenses Known to the Police, Suburban and Nonsuburinui Counties, Population Group, 1990
(1990 population. Rate: Number of crimes per 100,000 inhabitants)
Population group
Crime
Index
total
Modified
Crime
Index
total'
Violent
crime^
Property
crime'
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson'
Sabnrbu Counties'
100,000 and over
109 counties;
population 27,706,000:
Number of ofTenses known . .
Rate
1,350,684
4,875.0
150,503
543.2
1,200,181
4,331.8
1,864
6.7
9,723
35.1
43,997
158.8
94,919
342.6
320,642
1,157.3
734,180
2,649.9
145,359
524.6
25,000 to 99,999
300 counties;
population 15,450,000:
Number of offenses known . .
Rate
401,438
2,598.4
40,325
261.0
361.113
2,337.4
657
4.3
4,014
26.0
4,379
28.3
31,275
202.4
118,901
769.6
218,766
1,416.0
23,446
151.8
Under 25,000
747 counties;
population 2,649,000:
Number of offenses known
Rate
137,670
5,196.3
15.174
572.7
122.496
4,623.6
239
9.0
1,830
69.1
2,160
81.5
10,945
413.1
31,158
1,176.1
70,600
2,664.8
20,738
782.8
NoBsabnrbM Counties'
25,000 and over
272 counties;
population 10,958,000:
Number of offenses known . .
Rate
234,716
2,141.9
22,323
203.7
212,393
1,938.2
540
4.9
2,388
21.8
2,090
19.1
17,305
157.9
75,652
690.4
122,982
1,122.3
13,759
125.6
10,000 to 24,999
672 counties;
population 10,499,000:
Number of offenses known
Rate
177.812
1,693.6
16.643
158.5
161,169
1,535.1
500
4.8
1,666
15.9
1,112
10.6
13,365
127.3
62,520
595.5
89,031
848.0
9,618
91.6
Under 10,000
1,568 counties;
population 4,821,000:
Number of offenses known . .
Rate
134,248
2,784.8
14,464
300.0
119,784
2,484.8
456
9.5
1,995
41.4
880
18.3
11,133
230.9
43,688
906.3
67,383
1,397.8
8,713
180.7
'Arson rates are not presented in this table because fewer agencies furnished complete reports for arson than for the other seven Crime Index offenses. Independently tabulated arson rates
appear on page 43 of this publication.
'Violent crimes arc ofTenses of murder, forcible rape, robbery, and aggravated assault.
^Property crimes are offenses of burglary, larceny-theft, and motor vehicle theft. Data are not included for the property crime of arson.
^Offenses include sheriffs' and county law enforcement agencies. State police offenses are not included.
Population figures were rounded to the nearest thousand. Ail rates were calculated on the population before rounding.
Forcible rape figures furnished by the state-level Uniform Crime Reporting (UCR) Program administered by the Illinois Department of State Police were not in accordance with national UCR
guidelines. See Appendix I for details.
159
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161
Table 18.— Offense Analysis, 1990, and Percent Change from 1989
(12,884 agencies; 1990 population 227,131,000)
Classiflcation
Number of
offenses
1990
Percent
change over
1989
Percent
distribu-
tion'
Average
value
MURDER
FORCIBLE RAPE
ROBBERY;
Total
Street/highway
Commercial house
Gas or service station
Convenience store
Residence
Bank
Miscellaneous
BURGLARY;
Total
Residence (dwelling);
Night
Day
Unlcnown
Nonresidence (store, office, etc.):
Night
Day
Unknown
LARCENY-THEFT (EXCEPT MOTOR VEHICLE THEFT):
Total
By type;
Pocket-picking
Purse-snatching
ShopUning
From motor vehicles (except accessories)
Motor vehicle accessories
Bicycles
From buildings
From coin-operated machines
All others
By value;
Over $200
$50 to $200
Under $50
MOTOR VEHICLE THEFT
20,930
94,644
599,100
-1-7.8
-H9.2
-1-11.2
335,991
68,686
16,436
36,331
58,502
8,855
74,299
2,793,447
-H4.0
-t-8.1
-1-5.9
-1-3.6
-1-4.5
-1-17.8
-1-11.2
-■3S
1,847.493
586,057
807,126
454,310
945,954
445,491
238,822
261,641
7,286,075
-3.7
-2.8
-5.1
-2.0
-3.3
-2.3
-7.0
-2.3
-I-.4
73,931
74,812
1,183,826
1,599,349
1,086,289
406,322
1,024,807
57,940
1,778,799
2,606,031
1.738,324
2,941,720
1,515,364
-1-.7
-6.3
-1-3.9
-I-.5
-4.6
+.3
-.3
-4.4
+2.3
-1-2.3
-1.5
-.1
-1-5.0
100.0
56.1
11.5
2.7
6.1
9.8
1.5
12.4
100.0
66.1
21.0
28.9
16.3
33.9
15.9
8.5
9.4
100.0
1.0
1.0
16.2
22.0
14.9
5.6
14.1
.8
24.4
35.8
23.9
40.4
$108
29
783
633
1,341
442
341
1,049
3,244
735
1,133
1,143
943
1,224
1,263
1,110
982
1,072
1,362
480
355
278
115
541
319
215
791
147
671
1,243
114
20
5,032
'Because of rounding, percentages may not add to totals.
Table 19.— Type and Value of Property Stolen and Recovered, 1990
(12,884 agencies; 1990 population 227,131,000)
Value of property
Percent
Type of property
Stolen
Recovered
recovered
Total'
$14,759,357,000
$5,568,645,000
37.7
902,094,000
1,300,742,000
355,583.000
7.694.041,000
294,318,000
1,104,798,000
117,399,000
253,001,000
98,568,000
19,346,000
2,619,468,000
55,702,000
57,709,000
46,317,000
5,027,796,000
22,545,000
57,117,000
12,106,000
17,073,000
11,784,000
3,213,000
257,283,000
6.2
4.4
13.0
65.3
7.7
5.2
10.3
6,7
12.0
16.6
9.8
'All totals and percentages calculated before rounding.
162
SECTION III
CRIME INDEX OFFENSES CLEARED
For UCR purposes, law enforcement agencies clear or
solve an offense when at least one person is arrested,
charged with the commission of the offense, and turned
over to the court for prosecution. Several crimes may be
cleared by the arrest of one person, while the arrest of
many persons may clear only one offense. Law enforce-
ment agencies may clear a crime by exceptional means
when some element beyond law enforcement control
precludes the placing of formal charges against the of-
fender. Examples of circumstances allowing such clear-
ances are the death of the offender (suicide, justifiably
killed by police or private citizen, etc.); the victim's refusal
to cooperate with prosecution after the offender has been
identified; or the denial of extradition because the offender
committed another crime and is being prosecuted in a
different jurisdiction. In all exceptional clearance cases,
law enforcement must have identified the offender, have
enough evidence to support arrest, and know the offender's
location.
Law enforcement agencies cleared 22 percent of the
Crime Index offenses brought to their attention during
1990. Collectively, a 46-percent clearance rate for violent
crimes was recorded. Among the violent offenses, the rates
were 67 percent for murder, 53 percent for forcible rape,
25 percent for robbery, and 57 percent for aggravated
assault. Clearances for crimes against persons (murder,
forcible rape, and aggravated assault) are generally higher
as more intense investigative efforts are often given these
offenses and witnesses are frequently available to identify
the perpetrators.
The overall property crime clearance rate was 18 per-
cent. Fourteen percent of the burglaries, 20 percent of the
larceny-thefts, and 1 5 percent of both motor vehicle thefts
and arsons were cleared during the year. When considering
the Modified Crime Index total which includes arson, the
overall clearance rate remained the same, 22 percent.
The highest total Crime Index clearance rate geographi-
cally was registered in the West, with 23 percent. Following
were the South with 22 percent, the Midwest with 21
percent, and the Northeast with 20 percent. For violent
crime overall, the highest clearance rates were recorded in
the South and the West, each with 49 percent. In the
Midwest, the rate was 4 1 percent and in the Northeast, 40
percent. Property crime clearance rates were 19 percent in
the West, 1 8 percent in both the South and Midwest, and
16 percent in the Northeast.
By community type, rural county and city law enforce-
ment agencies showed clearances for 22 percent of the
Crime Index offenses brought to their attention. Those in
suburban counties cleared 2 1 percent. Of the population
groups, cities with 10,000 to 24,999 inhabitants registered
the highest total Crime Index and property crime clearance
rates, 25 and 23 percent, respectively. The highest violent
crime clearance rates were recorded in the rural counties
and in cities with under 10,000 inhabitants, both with 61
percent.
Clearances Involving Only Persons under 18 Years of
Age
Involvement of juveniles in crime can be measured by
the number of crimes in which they have been identified as
the offenders. Even though no physical arrest has been
made, a clearance by arrest is recorded when an offender
under 18 years of age is cited to appear in juvenile court or
before other juvenile authorities. Since the juvenile clear-
ance percentages shown in this publication indicate only
those offenses where no adults were involved, they should
be considered a slight underestimation of juvenile involve-
ment in crime. Juveniles (persons under 1 8 years of age)
accounted for 26 percent of the United States population,
according to July 1, 1989, Bureau of the Census estimated
population figures.
Nineteen percent of the Crime Index offenses cleared by
law enforcement during 1 990 involved only young people
under age 18. Persons in this age group accounted for 1 1
percent of the violent crime clearances and 22 percent of
those for property crimes. Murder showed the lowest
percentage of juvenile involvement (8 percent), while the
highest percentage was shown for arson (38 percent).
Geographically, the Midwestern States recorded the
largest percentage of Crime Index offense involvement by
the under- 18 age group — 21 percent. Juveniles alone were
the offenders in 20 percent of the clearances in the Western
States and 1 8 percent of those in both the Southern and
Northeastern States.
I
163
Crimes Cleared by Arrest
1990
e
u
a.
Crimes of
Violence
Not Cleared
Cleared
Murder
Aggravated
Assault
Forcible
Rape
Robbery
c
u
O)
Crimes Against
Property
Not Cleared
I Cleared
Burglary
Larceny - Theft
Motor Vehicle
Theft
164
Table 20. — Oflenses Known and Percent Cleared by Arrest', Population Group, 1990
[1990 population]
Population group
Crime
Index
total
Modified
Crime
Index
total^
Violent
crime'
Property
crime*
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson^
TOTAL ALL AGENCIES;
13,054 agencies;
popuUdon 227,4%,000:
Oflenses known
Percent cleared by urest
TOTAL CITIES: 9,103 cities;
population 154,145,000:
Offenses luiown
Percent cleared by arrest .
Group I
59 cities, 250,000 and over,
population 43,676,000:
OfTenses known
Percent cleared by arrest .
8 cities, 1,000,000 and over;
population 19,953,000:
OfTenses known
Percent cleared by arrest .
16 cities. 500,000 to 999,999;
population 10,840,000:
OfTenses known
Percent cleared by arrest .
35 cities, 250,000 to 499,999;
population 12,883,000:
OfTenses known
Percent cleared by arrest .
Group II
125 cities, 100,000 to 249,999;
population 18,089,000:
OfTenses known
Percent cleared by arrest ..
13,468,228
21.6
13,569,356
21.5
1,700,303
45.6
11,767,925
18.1
21,950
67.2
90,311
52.8
610,716
24.9
977,326
57.3
2,833,650
13.8
7,388,768
20.5
1,545,507
14.6
Groi;p III
336 cities, 50,000 to 99,999;
population 22,899,000:
OfTenses known
Percent cleared by arrest ...
See footnotes at end of table.
10,964,590
21.7
11,043.864
21.6
1,430.487
43.9
9,534,103
18.3
17,624
663
68,749
52.7
554,661
24.5
789,453
56.3
2,161.960
13.5
6,053,427
21.1
1,318,716
13.8
4,436,511
19.3
2,021.758
18.1
1,054,041
19.3
1,360,712
21.2
4,475,740
19.3
2,042,777
18.0
1,061,881
19.2
1,371,082
21.2
1,514,880
21.8
1,513,345
22.5
1.526.032
21.7
1,523,325
22.4
791,826
39.3
445.839
36.1
143,049
40.4
202,938
45.4
3,644,685
15.0
1,575,919
13.0
910,992
16.0
1,157,774
17.0
180,974
46.2
164,770
46.7
1,333,906
18.5
1,348,575
19.5
11,279
62.5
6,313
58.7
2,375
67.0
2,591
67.5
1,963
72.1
1,478
73.9
30,109
54.2
10.649
50.3
8,215
58.5
11,245
54.7
10,666
50.8
9,597
49.0
373.257
22.6
227,167
20.7
65,111
23.9
80,979
26.6
64.367
27.8
50,325
26.6
377,181
53.9
201,710
52.0
67,348
53.2
108,123
58.0
103,978
56.7
103,370
55.8
861,275
12.3
364,481
11.0
212,192
13.0
284,602
13.4
2,039,971
17.5
806,227
15.7
545,694
17.6
688,050
19.6
320,972
13.6
309,303
13.0
850,609
21.1
878,159
22.9
743,439
11.3
405,211
9.4
153,106
14.3
185,122
13.1
162,325
14.5
161.113
13.3
101,128
14.9
79,274
13.8
39,229
9.5
21,019
5.5
7,840
14.7
10,370
13.8
11,152
15.1
9,980
15.2
165
Table 20.— Offenses Known and Percent Cleared by Arrest',
Population Group,
1990— Continued
Population group
Crime
Index
total
Modified
Crime
Index
total^
Violent
crime'
Property
crime*
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson'
Group IV
658 cities. 25.000 to 49.999;
population 22.819.000:
1.314.832
23.6
1,322,386
23.5
121.684
48.8
1,193,148
21.0
1.198
69.5
7,519
52.1
35,103
28.9
77.864
57.2
260.383
14.3
820,005
23.7
112.760
16.6
7,554
Percent cleared by arrest
16.9
Groijp V
1.549 cities. 10,000 to 24,999;
population 24,496,000:
Offenses known
1,192,293
25.1
1.198,423
25.1
95,582
53.4
1,096,711
22.6
928
74.9
6,125
52.2
20,862
31.1
67.667
60.1
226,713
15.3
786,415
24.8
83,583
21.5
6,130
Percent cleared by arrest
24.3
Group VI
6,376 cities under 10.000;
population 22.165.000:
Offenses known
992,729
24.3
997.958
24.2
75,651
61.2
917,078
21.2
778
77.6
4,733
57.1
10,747
33.8
59,393
66.2
183.314
16.6
678,268
21.9
55,496
28.3
5,229
Percent cleared by arrest
24.1
SUBiniBAN CoimilliS
1,199 agencies;
population 45.906.000:
Offenses known ...
1.918.173
20.7
1,934.279
20.6
211.621
52.3
1,706.552
16.7
2.767
68.2
15.184
52.5
51.625
28.7
142,045
60.6
477.695
14.4
1,036,912
17.7
191.945
17.2
16,106
Percent cleared by arrest
18.1
Rural Counties
2.752 agencies;
population 27.445.000:
Offenses known
585.465
22.3
591,213
22.3
58,195
61.3
527,270
18.1
1,559
75.8
6,378
54.4
4.430
37.0
45,828
64.1
193,995
15.9
298.429
17.7
34.846
33.3
5,748
Percent cleared by arrest
21.5
Suburban Area'
6.104 agencies;
population 93.179.000:
Offenses known
4,197,731
21.8
4,226.201
21.8
398,097
51.7
3.799.634
18.7
4,484
67.9
26.181
52.4
100.738
28.6
266,694
60.1
905.579
14.5
2.506.964
20.5
387,091
17.3
28,470
Percent cleared by arrest
18.8
'Includes offenses cleared by exceptional means.
niie number of agency reports used in arson clearance rates is less than used in compiling clearance rates for other Crime Index offenses. It is not necessary to report clearances by properly
classification to be included in this table. The Modified Crime Index total is the sum of the Crime Index offenses, including arson.
'Violent crimes arc offenses of murder, forcible rape, robbery, and aggravated assault.
*Property crimes are offenses of burglary, larceny-lheft, and motor vehicle theft. Data are not included for the property crime of arson.
'Includes suburban city and county law enforcement agencies within metro[X>litan areas. Excludes central cities. Suburban cities and counties are also included in other groups.
Forcible rape figures furnished by the state-level Uniform Crime Reporting (UCR) Program administered by the Illinois Department of State Police were not in accordance with national UCR
guidelines and were excluded from the forcible rape, violent crime, Crime Index total, and Modified Crime Index total categories.
166
Table 21. — Offenses Known and Percent Cleared by Arrest', Geographic Region and Division, 1990
[1990 population]
Geographic
region/
division
Crime
Index
" total
Modified
Crime
Index
total'
Violent
crime'
Property
crime'
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson'
TOTAL: 13,054 agencies;
population 227,4%,000:
Offenses known
Percent cleared by arrest
13,468,228
21.6
13,569J5«
21.5
1,700,303
45.6
11,767,925
18.1
21,950
67.2
90,311
52.8
610,716
24.9
977,326
57.3
2,833,650
13.8
7,388,768
20.5
1,545,507
14.6
101,128
14.9
New England
700 agencies; population
10,954,000:
Offenses known
566,382
21.5
569.669
21.5
60,866
46.8
505,516
18.5
485
67.2
3.362
50.9
20,486
25.0
36,533
58.4
122,760
14.2
300,297
21.0
82,459
15.5
3,287
Percent cleared by arrest
14.2
MiDDi,E Atlantic
2,338 agencies; population
36,767,000:
Offenses known
1,913,464
19.2
1.931.287
19.1
306,220
38.2
1,607,244
15.6
3,790
64.8
10,352
53.9
153.526
23.1
138,552
52.9
360,161
12.6
938,423
19.0
308,660
8.9
17,823
Percent cleared by arrest
10.7
Northeast
3,038 agencies; population
47,722,000:
Offenses known
2,479,846
19.7
2,500,956
19.7
367,086
39.6
2,112,760
16J
4,275
65.1
13,714
53.2
174,012
23.4
175,085
54.1
482,921
13.0
1,238,720
19.5
391,119
10.3
21,110
Percent cleared by arrest
11.2
East North Cei<tral
2,177 agencies; population
37,217,000:
Offenses known
2,060,025
19.9
2,076,820
19.8
258.259
38.4
1,801,766
17.2
3,160
61.0
14,166
43.2
95.231
18.9
145,702
50.2
387,502
11.0
1.190,938
19.7
223,326
14.9
16,795
Percent cleared by arrest
9.5
West North Central
1,444 agencies; population
15,729,000:
Offenses known
712,376
23.7
717,462
23.6
66.395
53.4
645,981
20.6
683
80.7
4,536
57.9
16,287
27.5
44,889
61.9
140,293
14.0
453,689
22.5
51,999
21.6
5.086
Percent cleared by arrest
15.1
Midwest
3,621 agencies; population
52,946,000;
Offenses known
2,772,401
20.8
2,794,282
20.8
324,654
41.4
2,447,747
18.1
3,843
64.5
18,702
46.7
111,518
20.1
190,591
52.9
527,795
11.8
1,644,627
20.5
275,325
16.1
21,881
10.8
Percent cleared by arrest
South Atlantic
2,386 agencies; population
42,083,000:
Offenses known
2,685.971
22.8
2,700,403
22.8
351.183
48.9
2,334.788
18.9
4,740
69.2
18,681
57.7
113,668
27.6
214,094
59.0
622,447
16.3
1,478,133
19.8
234.208
20.1
14,432
Percent cleared by arrest
22.0
East South Central
714 agencies; population
7,992,000:
Offenses known
385,443
22.5
388,316
22.5
47,746
51.9
337,697
18.4
923
72.9
3,773
54.4
12,772
30.0
30,278
60.1
95,689
13.8
204,964
20.8
37,044
17.1
2,873
Percent cleared by arrest
19.1
West South Central
1,384 agencies; population
25,381,000:
Offenses known
1.847,594
20.8
1,860,521
20.8
190,804
48.8
1,656,790
17.6
3.486
70.5
12.664
58.6
61.514
27.9
113,140
58.4
436.761
14.3
1,016,376
19.6
203.653
15.1
12,927
Percent cleared by arres^ ....
20.1
See footnotes at end of table.
167
Table 21. — Offenses Known and Percent Cleared by Arrest', Geographic Region and Division, 1990 — Continued
Geographic
region/
division
Crime
Index
total
Modified
Crime
Index
total'
Violent
crime'
Property
crime*
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson'
South
4,484 agencies; population
75,456,000:
4,919,008
22.1
4,949,240
22.1
589,733
49.1
4,329,275
18.4
9,149
70.0
35,118
57.7
187,954
27.8
357,512
58.9
1,154,897
15.3
2,699,473
19.8
474,905
17.7
30,232
20.9
Percent cleared by anest
MoimTAIN
745 agencies; population
12,942,000:
816,661
23.9
821,727
23.9
66,757
54.9
749,904
21.1
747
75.2
5,451
49.0
14,391
28.6
46,168
63.5
164,933
12.7
520,738
24.2
64,233
18.1
5,066
Percent cleared by arrest
22.5
Pacific
1,166 agencies; population
38,430,000:
2,480,312
22.4
2,503,151
22.3
352,073
47.9
2,128,239
18.2
3,936
64.1
17,326
50.3
122,841
26.7
207,970
59.9
503,104
13.5
1.285,210
21.3
339,925
13.5
22,839
Percent cleared by arrest
12.7
West
1,911 agencies; population
51,372,000:
3,296,973
22.8
3,324,878
22.7
418,830
49.0
2,878,143
19.0
4,683
65.9
22,777
50.0
137,232
26.9
254,138
60.5
668,037
13.3
1,805,948
22.1
404,158
14.2
27,905
Percent cleared by arrest
14.5
'Includes offenses cleared by exceptional means.
n^e number of agency reports used in arson clearance rates is less than used in compiling clearance rates for other Crime Index offenses. It is not necessary to report clearances by property
classification to be included in this table. The Modified Crime Index total is the sum of the Crime Index offenses, including arson.
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
^Property crimes are offenses of burglary, larceny-theft, and motor vehicle theft. Data are not included for the property crime of arson.
Forcible rape figures furnished by the state-level Uniform Crime Reportmg (UCR) Program administered by the Illmois Department of State Police were not in accordance with national UCR
guidelines and were excluded from the forcible rape, violent crime. Crime Index total, and Modified Crime Index total categories.
168
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9.2
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«H
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= 2<y.-,
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Table 23.— Offenses Oeared by Arrest' of Persons Under 18 Years of Age, 1990
[1990 population]
Population group
Crime
Index
total
ModiTied
Crime
Index
total'
Violent
crime'
Property
crime*
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson'
TOTAL ALL AGENCIES
12,901 agencies;
population 217,061,000:
Total clearances
Percent under 18
TOTAL CITIES: 9,077 dUes;
population 145,155,000:
Total clearances
Perceot under 18
Group I
57 cities, 250,000 and over;
population 35,743.000:
Total clearances
Percent under 18
7 cities, 1,000.000 and oven
population 12,631,000:
Total clearances
Percent under 18
15 cities, 500,000 to 999,999;
population 10,230,000:
Total clearances
Percent under 18
35 cities, 250,000 to 499,999;
population 12,883,000:
Total clearances
Percent under 18
GROin> 11
122 cities, 100,000 to 249,999;
population 17,597.000:
Total clearances
Percent under 18
GROtJP III
332 cities, 50,000 to 99,999;
population 22,639.000:
Total clearances
Percent under 18
Grolip rv
656 cities, 25,000 to 49,999;
population 22.758,000:
Total clearances
Percent under 18
2,755,423
19.2
2,240,513
19J
741,227
14.9
263,178
12.1
188,961
15.9
289,088
16.9
318,444
18.6
336,474
21.8
308,745
22.7
2,770,179
19.3
2,251,156
19.4
705,487 2,049,936
11.2 22.0
744,767
15.0
264,333
12.2
189,919
16.0
290,515
17.0
320,048
18.8
337,984
21.9
310,025
22.7
561,662
11.2
249,493
10.2
104,193
9.1
53,196
11.0
92,104
1 1.0
80,537
11.2
75,876
12.5
59,332
13.4
1,678,851
22.1
13,037
7.7
10,048
8.2
491,734
17.3
158,985
14.0
135,765
17.8
196,984
19.6
237,907
21.2
260,598
24.4
249,413
24.9
5,488
8.9
2,317
10.3
1,421
6.5
1,750
9.0
1,355
8.3
1,090
7.8
830
7.1
44,963
12.4
33,766
11.3
14,132
9.2
3,833
7.7
4,148
10.3
6,151
9.5
5,170
10.9
4,679
12.6
3,910
14.5
128,088
14J
111,854
14.1
61,155
12.5
25,066
12.5
14,550
12.4
21,539
12.8
17,213
13.8
13,264
16.7
10,150
18.7
519,399
10.4
405,994
10.5
168,718
9.5
72,977
8.0
33,077
10.7
62,664
10.5
56,799
10.5
56,843
11.6
44,442
12.2
372,978
19.3
275,614
18.8
92,921
13.6
29,786
11.7
25,018
12.8
38,117
15.6
41,565
17.1
39,621
20.4
37,104
22.6
1,464.595
22.4
1,234,188
22.5
325.699
16.5
100,803
12.9
90,218
16.8
134,678
19.0
173.506
21.8
199,782
25.4
193,618
25.6
212,363
23.5
169,049
23.9
73,114
25.6
28,396
20.5
20,529
28.2
24.189
29.3
22,836
24.1
21,195
23.1
18,691
22.2
14,756
37.7
10,643
40J
3.540
34.1
1,155
31.7
958
39.5
1,427
32.4
1,604
41.2
1,510
43.8
1.280
40.9
171
Table 23. — Offenses Cleared by Arrest* of Persons Under 18 Years of Age, 1990 — Continued
Population group
Crime
Index
total
Modified
Crime
Index
total'
Violent
crime'
Property
crime*
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson'
Group V
1,536 cities, 10,000 to 24,999;
population 24,267,000;
295,074
22.4
240,549
22.4
388,030
19.6
126,880
15.9
296,524
22.6
241,808
22.5
390,922
19.7
128,101
16.0
50,235
11.7
46,189
11.3
109,140
12.3
34,685
7.8
244,839
24.6
194,360
25.0
278,890
22.4
92,195
18.9
681
6.2
604
6.1
1,847
6.8
1,142
4.6
3,173
14.4
2,702
12.8
7,784
16.8
3,413
13.0
6,439
15.7
3,633
15.6
14,640
16.9
1,594
10.0
39,942
11.0
39,250
10.9
84,869
11.2
28,536
7.2
34,064
22.7
30,339
25.8
67,403
21.2
29,961
20.2
193,257
25.3
148,326
25.2
179,389
22.9
51,018
17.9
17,518
21.4
15,695
22.0
32,098
22.3
11,216
20.6
1 450
PerccDt under 18
46.1
Group VI
6,374 cities under 10,000;
population 22,151,000:
Total clearances
1,259
Percent under 18
45.0
Suburban Counties
1,153 agencies;
population 44,938,000:
Total clearances
2,892
35.2
Rural Counties
2,671 agencies;
population 26,969,000:
Total clearances
1,221
21.5
Suburban Area'
6,050 agencies;
population 92,066,000:
Total clearances
906,877
21.3
912,177
21.5
203,996
12.8
702,881
23.8
2,997
6.6
13,529
16.2
28,590
17.9
158,880
11.7
129,031
22.5
508,158
24.4
65,692
22.3
5,300
39.7
'Includes offenses cleared by exceptional means.
niie number of agency reports used in arson clearance rates is less than used in compiling clearance rates for other Crime Index offenses. It is not necessary to report clearances by detailed
property classification to be included in this table. The Modified Crime Index total is the sum of the Crime Index offenses, including arson.
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
'Property crimes are offenses of burglary. Iarceny-thef\. and motor vehicle thef^. Data are not included for the property crime of arson.
^Includes suburban city and county law enforcement agencies within metropolitan areas. Excludes central cities. Suburban cities are also included in other city groups.
Forcible rape figures furnished by the state-level Uniform Crime Reporting (UCR) Program administered by the Illinois Department of State Police were not in accordance with national UCR
guidelines and were excluded from the forcible rape, violent crime. Crime Index total, and Modified Crime Index total categories.
172
SECTION IV
PERSONS ARRESTED
Primarily a gauge of law enforcement's response to
crime, arrest counts also provide definitive data concern-
ing the age, sex, and race of perpetrators. Arrest practices,
policies, and enforcement emphases vary from place to
place and even within a community from time to time as,
for example, during a local police campaign against resi-
dential burglary. While the practices for certain unlawful
conduct such as drunkenness, disorderly conduct, vagran-
cy, and related violations may differ among agencies, those
for robbery, burglary, and other serious crime arrests are
more likely to be uniform and consistent throughout all
jurisdictions. The Program's procedures require that an
arrest be counted on each separate occasion a person is
taken into custody, notified, or cited. Annual arrest figures
do not measure the number of individuals arrested since
one person may be arrested several times during the year
for the same or different offenses.
Nationwide, law enforcement agencies made an esti-
mated 14 million arrests in 1990 for all criminal infrac-
tions except traffic violations. The highest arrest counts
among the specific crime categories were for driving under
the influence, 1.8 million; larceny-theft, 1.6 million; drug
abuse violations, 1.1 million; and simple assault, 1 million.
When the arrest volume was related to the total
United States population, the rate was 5,805 arrests per
100,000 inhabitants. Among the city population groupings,
those with more than 250,000 inhabitants recorded the
highest rate, 7,989, while those with populations from
10,000 to 24,999 recorded the lowest rate, 5,580. For
suburban county agencies overall, the arrest rate was 4,4 1 9,
and for rural county law enforcement, it was 3,636 per
100,000 inhabitants.
Regionally, the arrest rates per 100,000 population
ranged from 5,133 in the Midwest to 6,404 in the West.
The Northeast recorded an arrest rate of 5,454 and the
South, 6,024.
Due to reporting problems at the state levels, arrest data
for none of the law enforcement agencies in Georgia were
available. Similarly, arrest data for New Hampshire agen-
cies were not received in time to meet publication dead-
lines. Therefore, tables showing the age, sex, or race of
persons arrested contain no Georgia and New Hampshire
data. Georgia and New Hampshire arrest totals were
estimated for inclusion in Table 24, "Total Estimated
Arrests, United States, 1990."
Arrest Trends
The national total number of arrests for all offenses
except traffic violations increased 4 percent in 1990 as
compared to the 1989 volume. During the same time
period, adult arrests were also up 4 percent, while those of
persons under 18 years of age showed a 5-percent rise.
When considering only the eight Crime Index offenses,
increases were recorded for arrests of persons of all ages, 4
percent; of adults, 3 percent; and of juveniles, 5 percent.
Overall violent crime arrests were up 12 percent and
property crime arrests, 1 percent.
Two-year trends in total arrests for city agencies showed
a 4-percent rise, 1990 over 1989. Suburban county arrests
were up 4 percent and rural county arrests, 6 percent.
Over the 5-year period beginning in 1986, total arrests
for all offenses were up 1 9 percent, with adult arrests up 2 1
percent and those of persons under 1 8 years of age up 8
percent. Total Crime Index arrests increased 15 percent;
those of adults rose 18 percent and of juveniles under 18
years of age, 8 percent. During the same years, 1986-1990,
total violent crime arrests increased 34 percent, and
property crime arrests were up 10 percent.
For the decade, 1981-1990, arrests for all offenses were
up 31 percent; Crime Index arrests, 20 percent; violent
crime arrests, 45 percent; and property crime arrests, 13
percent.
The 1990 drug abuse violation arrest total was down 14
percent from the 1989 level, 35 percent higher than in
1986, and 70 percent higher than in 1981. The types of
drugs involved in violations resulting in arrests during
1 990 are shown by geographic region in the accompanying
table.
Arrests for Drug Abuse Violations, 1990
[Percent distribution]
Total'
Sale/manufacture:
Heroin or cocaine and their
derivatives
Marijuana
Synthetic or manufactured drugs . .
Other dangerous nonnarcotic dnigs
Possession:
Heroin or cocaine and their
derivatives
Marijuana
Synthetic or manufactured drugs
Other dangerous nonnarcotic drugs
United
States
total
100.0
31.6
21.0
6.1
.6
3.9
68.4
33.3
23.9
1.5
9.7
North-
eastern
States
100.0
41.0
34.5
4.7
.5
1.4
59.0
34.2
21.4
1.0
2.4
Mid-
western
Stales
100.0
31.7
11.5
7.2
.7
12.4
68.3
19.5
36.4
1.5
10.8
South-
em
States
28.4
19.4
6.4
1.0
1.6
71.6
30.6
31.7
3.0
6.3
Western
Stales
100.0
27.9
16.7
6.4
.3
4,5
72.1
39.8
14.7
.6
17.0
' Because of rounding, percentages may not add to totals.
Age
Five percent of all persons arrested nationally in 1990
were under the age of 15; 16 percent were under 18; 30
percent were under 21; and 46 percent were under 25.
Persons in the under-25 age group accounted for 47
percent of arrests in the cities, 41 percent of those in the
suburban counties, and 40 percent of those in the rural
counties.
173
Age distribution figures for persons arrested for Crime
Index offenses showed 28 percent were under the age of 1 8;
43 percent, under 21; and 57 percent, under 25. The under-
25 age group was also responsible for 47 percent of the
violent crime arrests and 60 percent of property crime
arrests in 1990.
Larceny-theft was the offense resulting in the most
arrests of persons under age 18, while adults were most
often arrested for driving under the influence.
Sex
Eighty-two percent of the persons arrested in the Nation
during 1990 were males. They accounted for 78 percent of
Index crime arrests, 89 percent of those for violent crimes,
and 75 percent of the property crime arrests. Men were
most often arrested for driving under the influence, which
accounted for 13 percent of all male arrests.
As in past years, larceny-theft was the crime for which
females were most often arrested. This single offense
accounted for 78 percent of arrests of women for Index
crimes and 19 percent of all female arrests. Fifty-two
percent of all female larceny-theft arrestees were under 25
years of age.
Two-year trends showed a 4-percent increase in the
number of male arrests from 1989 to 1990 and a 6-percent
rise in female arrests for the same period. Arrests of males
were up 1 8 percent and those of females up 24 percent for
the 5-year period from 1986 to 1990.
Race
Race distribution figures for the total number of arrests
in the United States during 1990 showed 69 percent of the
arrestees were white, 29 percent were black, and the
remainder were of other races. Whites accounted for 64
percent of the Index crime arrests, 54 percent of the arrests
for violent crimes, and 67 percent of those for property
crimes.
Table 24.— Total Estimated Arrests', United States, 1990
TOTAL'
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime'
Property crime*
Crime Index total'
Other assaults
Forgery and counterfeiting
Fraud
14.195.100
22,990
39,160
167,990
475,330
432,600
1,554,800
211,300
19J00
705,500
2,217.800
2,923,300
1,014,100
94,800
291,600
Embezzlement
Stolen property; buying, receiving, possessing
Vandalism
Weapons; carrying, possessing, etc
Prostitution and commercialized vice
Sex offenses {except forcible rape and prostitution)
Drug abuse violations
Gambling
offenses against family and children
Driving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses
Suspicion (not included in totals)
Curfew and loitering law violations
Runaways
15,300
165,200
326,000
221,200
111,400
107,600
,089,500
19,300
85,800
,810,800
714,700
910,100
733,000
38,500
,267,800
22,200
80.800
174,200
'Arrest totals based on all reporting agencies and estimates for unreported areas.
'Because of rounding, figures may not add to totals.
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
^Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
'Includes arson.
174
Table 25.— Arrests, Number and Rate, Regions, 1990
[Rate: Number of arrests per 100,000 inhabitants]
OfTense charged
United Stales Total
(10,206 agencies;
population 193,507,000)
Northeast
(2,172 agencies;
population 36,749,000)
Midwest
(2,776 agencies;
population 44,985,000)
South
(3,630 agencies;
population 62,915,000)
West
(1,628 agencies;
population 48,857,000)
TOTAL
Rut .
Murder and nonnegligent manslaughter
Rate
Forcible rape
Rale
Robbery
Rate
Aggravated assault
Rate
Burglary
Rate
Larceny-theft
Rate
Motor vehicle thefl
Rate
Arson
Rate
Violent crime' .
Rate
Property crime'
Rate
Crime Index total'
Rate
Other assaults
Rate
Forgery and counterfeiting
Rate
Fraud
Rate
Embezzlement
Rate
Stolen properiy; buying, receiving,
possessing
Rate
Vandalism
Rate
Weapons; carrying, possessing, etc. . . .
Rate
Prostitution and commercialized vice
Rate
Sex offenses (except forcible rape and
prostitution)
Rate
Drug abuse violations
Rate
Gambling
Rate
Offenses against family and children .
Rate
Driving under the influence
Rate
Liquor laws
Rate
Drunkenness
Rale
Disorderly conduct
Rate
Vagrancy
Rate
All other offenses (except traffic)
Rate
Suspicion (not included in totals)
Rale
Curfe\^' and loitering law violations ..
Rale
Runaways
Rale
11,232,330
5,804.6
18.298
9.5
30.966
16.0
136,300
70.4
376,917
194.8
341,192
176.3
1,241,236
641.4
168,338
87.0
14,974
7.7
562,481
290.7
1,765.740
912.5
2,328,221
1,203.2
801,425
414.2
74,393
38.4
279.776
144.6
12,055
6.2
131.656
68.0
256,558
132.6
176,137
91.0
91,093
47.1
84,852
43.8
869,155
449.2
15.443
8.0
65.992
34.1
1,390,906
718.8
552,039
285.3
716,504
370.3
579,674
299.6
31,237
16.1
2.572,491
1,329.4
17,753
9.2
64,568
33.4
138,155
71.4
2,004,405
5,454.3
2,516
6.8
5,088
13.8
43,308
117.8
67,136
182.7
53,332
145.1
196,000
533.3
29,285
79.7
2,653
7.2
118,048
321.2
281,270
765.4
399,318
1,086.6
136,329
371.0
10,897
29.7
48,730
132.6
929
2.5
36,270
98.7
63,211
172.0
25,646
69.8
18,282
49.7
10,946
29.8
201,234
547.6
4,187
11.4
19,259
52.4
159,079
432.9
63,779
173.6
14,042
38.2
182,514
496.6
6,461
17.6
582,243
1,584.4
1,386
3.8
3,938
10.7
17,111
46.6
2,309,181
5,133.2
3,985
8.9
7,053
15.7
18,535
41.2
58,974
131.1
54,608
121.4
281,996
626.9
25,316
56.3
3,609
8.0
88,547
196.8
365,529
812.6
454,076
1,009.4
184,874
411.0
13.314
29.6
46,660
103.7
1,657
3.7
28.680
63.8
70.129
155.9
36,374
80.9
14,903
33.1
1 7.990
40.0
105,225
233,9
2,300
5.1
18,702
41.6
289,257
643.0
205.602
457.0
64,232
142.8
169.562
376.9
2,100
4.7
520,132
1,156.2
1,954
4.3
26,041
57.9
37,371
83.1
3,789,942
6,023.9
7,015
11.1
10,889
17.3
36,376
57.8
117,606
186.9
121,363
192.9
407,059
647.0
50,936
81.0
4,628
7.4
171,886
273.2
583,986
928.2
755,872
1,201.4
278,293
442.3
32,301
51.3
161,078
256.0
6,437
10.2
27,837
44.2
60,381
96.0
66,896
106.3
24,491
38.9
23,341
37.1
258,278
410.5
5,440
8.6
19,658
31.2
402,665
640.0
134,109
213.2
444,981
707.3
147,163
233.9
3,026
4.8
878,686
1,396.6
13,933
22.1
9,019
14.3
49,990
79.5
3,128,802
6.404.0
4,782
9.8
7,936
16.2
38,081
77.9
133.201
272.6
111,889
229.0
356,181
729.0
62,801
128.5
4,084
8.4
184,000
376.6
534,955
1 ,094.9
718,955
1,471.6
201,929
413.3
17,881
36.6
23,308
47.7
3,032
6.2
38,869
79.6
62.837
128.6
47.221
96.7
33,417
68.4
32,575
66.7
304,418
623.1
3,516
7.2
8,373
17.1
539,905
1,105.1
148,549
304.0
193,249
393,5
80,435
164.6
19,650
40.2
591.430
1,210.5
480
1.0
25,570
52.3
33,683
68.9
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
■Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
'Includes arson. Population figures were rounded to the nearest thousand. All rates were calculated before rounding.
175
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177
Table 27.— ToUl Arrest Trends, 1981-1990
[7,568 agencies; 1990 population 156,650,000]
Number of persons arrested
Offense charged
Total all ages
Under 18 years o
age
18 years of age and
over
1981
1990
Percent
change
1981
1990
Percent
change
1981
1990
Percent
change
TOTAL
6,852,016
8,965,099
+30.8
1,341,050
1,410,737
+5.2
5,510,966
7,554362
+37.1
Murder and nonnegligent manslaughter
13,315
19,724
87,118
183,075
345,444
847,994
82,550
13,878
14,689
24,725
94,410
306,322
285,709
1,031,714
133,583
12,608
+ 10.3
+25.4
+8.4
+67.3
-17.3
+21.7
+61.8
-9.2
1.251
2,849
22,564
26,576
150.166
303.353
34.152
6.263
2.003
3.651
21.497
41,599
95,208
310.854
58.935
5.705
+60.1
+28.2
-4.7
+56.5
-36.6
+2.5
+72.6
-8.9
12,064
16.875
64.554
156.499
195.278
544.641
48.398
7.615
12,686
21,074
72,913
264,723
190,501
720,860
74,648
6,903
+5.2
+24.9
Robberv
+ 12.9
+69.2
-2.4
+32.4
+54.2
-9.3
303,232
1,289,866
440,146
1,463,614
+45.2
+ 13.5
53,240
493,934
68,750
470,702
+29.1
-4.7
2'49,992
795,932
371,396
992,912
+48.6
+24.7
Prime Index total^
1,593.098
1,903,760
+19.5
547,174
539,452
-1.4
1,045,924
1,364,308
+30.4
325,269
58,231
179,124
5,858
86,626
162,309
115,326
61,647
50,356
402,116
19,625
32,574
1,013,178
315,882
792,371
391,319
24,035
1,089,029
11,276
41,669
92,374
644,940
61.420
236,285
11.070
1 10,303
209,214
140,297
70,116
71,477
682.367
10,707
52,231
1,165,284
448,520
610,100
440,882
23,077
1,908,316
10,406
52,738
111.995
+98.3
+5.5
+31.9
+89.0
+27.3
+28.9
+21.7
+ 13.7
+41.9
+69.7
-45.4
+60.3
+ 15.0
+42.0
-23.0
+ 12.7
-4.0
+75.2
-7.7
+26.6
+21.2
55,761
6,414
4,845
661
24.958
78.187
18.329
1.921
8.425
69.383
578
1.837
19,875
97,803
29.022
65.277
2.962
173.595
2.197
41.669
92.374
96,098
5,143
5,602
798
29,591
84,773
25,884
1,015
11,129
50,435
554
2,002
12,972
97,456
16,414
73,726
2,318
190,642
1,399
52,738
111,995
+72.3
-19.8
+ 15.6
+20.7
+ 18.6
+8.4
+41.2
-47.2
+32.1
-27.3
-4.2
+9.0
-34.7
-.4
-43.4
+ 12.9
-21.7
+9.8
-36.3
+26.6
+21.2
269.508
51.817
174.279
5.197
61.668
84.122
96.997
59,726
41.931
332.733
19.047
30.737
993.303
218.079
763.349
326.042
21.073
915,434
9,079
548,842
56,277
230,683
10,272
80,712
124,441
114,413
69,101
60,348
631,932
10,153
50,229
1,152,312
351,064
593,686
367,156
20,759
1,717,674
9.007
+ 103.6
+8.6
+32.4
+97.7
Stolen property; buying, receiving, possessing .
+30.9
+47.9
+ 18.0
+ 15.7
Sex offenses (except forcible rape and
+43.9
+89.9
-46.7
+63.4
+16.0
+61.0
-22.2
+12.6
-1.5
+87.6
-.8
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
'Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
'Includes arson.
178
Table M.— TotoU Arrest Trends, Sex, 1981-1990
(7,568 agencies; 1990 population 156,650,000)
OfTense charged
Males
Total
1981
1990
Percent
change
Under 18
1981
1990
Percent
change
Females
Total
1981
1990
Percent
change
Under 18
1981
1990
Percent
change
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime'
Property crime'
Crime Index total'
Other assaults
Forgery and counterfeiting
Fraud
Embezzlement
Stolen property; buying, receiving,
possessing
Vandalism
Weapons; carrying, possessing, etc. ...
Prostitution and commercialized vice .
Sex offenses (except forcible rape and
prostitution)
Drug abuse violations
Gambling
Offenses against family and children
Driving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic)
Suspicion (not included in totals)
Curfew and loitering law violations ...
Rimaways
5,723,517
7,290,217
+27.4
1,057,607
1,087,759
+2.9
1,128,499
1,674,882
+48.4
283,443
322,978
11,649
19,549
80,636
160,584
322.180
595,574
74,688
12,352
13,083
24,457
86,719
266,037
259,936
697,632
119,797
10,967
+ 12.3
+25.1
+7.5
+65.7
-19.3
+ 17.1
+60.4
-11.2
1,139
2,805
20,854
22,617
140,058
222,859
30,308
5,699
1,895
3,585
19,822
35,421
87,390
222,711
52,396
5.150
+66.4
+27.8
-4.9
+56.6
-37.6
-.1
+72.9
-9.6
1,666
175
6,482
22,491
23,264
252,420
7,862
1,526
1,606
268
7,691
40,285
25,773
334,082
13,786
1,641
-3.6
+53.1
+ 18.7
+79.1
+ 10.8
+32.4
+75.3
+7.5
112
44
1.710
3,959
10,108
80.494
3,844
564
108
66
1.675
6.178
7.818
88.143
6.539
555
272,418
1,004,794
390.296
1.088.332
+43.3
+8.3
47,415
398,924
60,723
367.647
+28.1
-7.8
30,814
285,072
49,850
375.282
+61.8
+31.6
5.825
95,010
8,027
103,055
1,277,212
1,478,628
+ 15.8
446.339
428.370
-4.0
315,886
425,132
+34.6
100,835
111.082
278.945
39.498
103.918
4.113
77.126
147.745
107.027
17.716
46,399
347,235
17,769
28,842
907,283
266,098
729,666
327,751
19,684
909,623
9,813
30,937
38,930
540,410
39,431
126,407
6,461
97,049
186,335
130,118
26,892
65,766
566,248
9,241
43,642
1,017,380
365,609
548.946
358.145
19.692
1,577,066
8,811
38,077
48,674
+93.7
-.2
+21.6
+57.1
+25.8
+26.1
+21.6
+51.8
+41.7
+63.1
-48.0
+51.3
+ 12.1
+37.4
-24.8
+9.3
(4)
+73.4
-10.2
+23.1
+25.0
43,738
4,448
3,479
495
22,796
71,806
17.314
587
7.882
57.927
540
1.065
17.643
74,419
24,951
53,111
2,488
136,712
1,814
30,937
38,930
73,651
3.375
3.640
485
26.805
77.637
24.326
475
10,415
44,460
523
1,308
11,214
70,288
13,875
58,420
1,938
149,803
1,167
38,077
48,674
+68.4
-24.1
+4.6
-2.0
+ 17.6
+8.1
+40.5
-19.1
+32.1
-23.2
-3.1
+22.8
-36.4
-5.6
-44.4
+ 10.0
-22.1
+9.6
-35.7
+23.1
+25.0
46.324
18.733
75.206
1.745
9.500
14.564
8,299
43,931
3,957
54.881
1.856
3.732
105,895
49,784
62,705
63,568
4,351
179,406
1,463
10.732
53,444
104.530
21.989
109.878
4,609
13,254
22,879
10,179
43,224
5,711
116,119
1.466
8.589
147,904
82.911
61.154
82.737
3.385
331.250
1,595
14,661
63,321
+ 125.6
+ 17.4
+46.1
+ 164.1
+39.5
+57.1
+22.7
-1.6
+44.3
+ 111.6
-21.0
+ 130.1
+39.7
+66.5
-2.5
+30.2
-22.2
+84.6
+9.0
+36.6
+ 18.5
12,023
1.966
1.366
166
2.162
6.381
1.015
1,334
543
11,456
38
772
2,232
23.384
4.071
12.166
474
36.883
383
10.732
53.444
22.447
1,768
1,962
313
2.786
7.136
1.558
540
714
5,975
31
694
1.758
27.168
2.539
15.306
380
40.839
232
14.661
63,321
+13.9
-3.6
+50.0
-2.0
+56.0
-22.7
+9.5
+70.1
-1.6
+37.8
+8.5
+ 10.2
+86.7
-10.1
+43.6
+88.6
+28.9
+ 11.8
+53.5
-59.5
+31.5
-47.8
-18.4
-10.1
-21.2
+ 16.2
-37.6
+25.8
-19.8
+ 10.7
-39.4
+36.6
+ 18.5
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
H'roperty crimes arc oPTenses of burglary, larceny-theft, motor vehicle theft, and arson.
'Includes arson.
<Less than one-tenth of I percent.
179
Table 29— Total Arrest Trends, 1986-1990
(8,328 agencies; 1990 population 167,771,000]
Offense charged
Number of persons arrested
Total all ages
1986
1990
Percent
change
Under 18 years of age
1986
1990
Percent
change
1 8 years of age and over
1986
1990
Percent
change
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny — thefl
Motor vehicle theft
Arson
Violent crime'
Property crime'
Crime Index total'
Other assaults
Forgery and counterfeiting
Fraud
Embezzlement
Stolen property; buying, receiving, possessing
Vandalism
Weapons; carrying, possessing, etc
Prostitution and commercialized vice
Sex offenses (except forcible rape and
prostitution)
Drug abuse violations
Gambling
Offenses against family and children
Driving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic)
Suspicion (not included in totals)
Curfew and loitering law violations
Runaways
8,1S8,746
12,863
25,058
85,226
230,039
313,850
993,046
106,722
12,985
353,186
1,426,603
1,779,789
511,813
62,686
202,033
7,901
92,790
187,449
138,637
70,248
71,371
544,784
15,342
38,615
1,224,653
389,838
682,096
430,941
24,821
1,506,287
11,471
51,899
124,753
9,693,191
15,780
27,398
101,453
328,538
306,777
1,110,803
143,745
13,326
473,169
1,574,651
2,047,820
717,996
65,744
238,729
10,840
114,861
225,418
153,290
78,179
77,575
735,001
11,914
53,532
1,256,686
487,614
660,624
476,892
25,247
2,071,905
17,050
56,712
126,612
+18.8
1,424,482
1,537,568
+7.9
6,734,264
8,155,623
+22.7
+9.3
+ 19.0
+42.8
-2.3
+ 11.9
+34.7
+2.6
1,126
3,958
18,570
29,912
1 14,924
324,469
43,185
5,450
2,169
4,088
22,886
44,613
102,743
336,631
63,975
5,946
+92.6
+3.3
+23.2
+49.1
-10.6
+3.7
+48.1
+9.1
11.737
21,100
66,656
200,127
198,926
668,577
63,537
7,535
13,611
23,310
78,567
283,925
204,034
774,172
79,770
7,380
+34.0
+ 10.4
53,566
488,028
73,756
509,295
+37.7
+4.4
299,620
938,575
399,413
1,065,356
+ 15.1
541,594
583,051
+7.7
1,238,195
1,464,769
+40.3
+4.9
+ 18.2
+37.2
+23.8
+20.3
+ 10.6
+11.3
+8.7
+34.9
-22.3
+38.6
+2.6
+25.1
-3.1
+ 10.7
+ 1.7
+37.6
+48.6
+9.3
+ 1.5
74,490
6,253
4,800
582
24,617
81,349
21,644
1,806
11,966
57,028
497
2,178
19,218
111,214
23,823
66,490
2,308
195,973
2,207
51,899
124,753
106,001
6,173
5,879
809
30,777
92,276
28,097
1,171
12,063
55,891
709
2,169
14,234
107,233
18,038
78,665
2,386
208,622
2,980
56,712
126,612
+42.3
-1.3
+22.5
+39.0
+25.0
+ 13.4
+29.8
-35.2
+.8
-2.0
+42.7
-.4
-25.9
-3.6
-24.3
+ 18.3
+3.4
+6.5
+35.0
+9.3
+ 1.5
437,323
56,433
197,233
7,319
68,173
106,100
116,993
68,442
59,405
487,756
14,845
36,437
1.205,435
278,624
658,273
364,451
22,513
1,310,314
9,264
611,995
59,571
232,850
10,031
84,084
133,142
125,193
77,008
65,512
679,110
11,205
51,363
1,242,452
380,381
642,586
398,227
22,861
1,863,283
14,070
+21.1
+ 16.0
+ 10.5
+ 17.9
+41.9
+2.6
+ 15.8
+25.5
-2.1
+33.3
+ 13.5
+ 18.3
+39.9
+5.6
+ 18.1
+37.1
+23.3
+25.5
+7.0
+ 12.5
+ 10.3
+39.2
-24.5
+41.0
+3.1
+36.5
-2.4
+9.3
+1.5
+42.2
+51.9
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
H'ropcrty crimes are offenses of burglary, larceny-thefl, motor vehicle theft, and arson.
'Includes arson.
180
Table 30.— Total Arrest Trends, Sex, 1986-1990
[8,328 agencies; 1990 population 167,771,000)
Offense charged
Males
Total
1986
1990
Percent
change
Under 18
1986
1990
Percent
change
Females
Total
1986
1990
Percent
change
Under 18
1986
1990
Percent
change
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny — theft
Motor vehicle theft
Arson
Violent crime'
Property crime^
Crime Index total'
Other assaults
Forgery and counterfeiting
Fraud
Embezzlement
Stolen property; buying, receiving,
possessing
Vandalism
Weapons; carrying, possessing, etc.
Prostitution and commercialized vice
Sex offenses (except forcible rape and
prostitution)
Drug abuse violations
Gambling
Offenses against family and children
Driving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic)
Suspicion (not included in totals) . .
Curfew and loitering law violations
Runaways
6,710,709
7,892,548
+ 17.6
1,095,694
1.184,342
+8.1
1,448,037
1,800,643
+24.4
328,788
353,226
11,291
24,775
78,654
200,362
288,273
686,172
96,432
11,231
14,080
27,107
93,126
285,135
279,487
753,805
128,849
11,590
+24.7
+9.4
+ 18.4
+42.3
-3.0
+9.9
+33.6
+3.2
1,054
3,884
17,424
25,341
106,151
237,771
38,467
4,907
2,060
4,024
21.147
37,915
94,377
241,279
56,844
5,376
+95.4
+3.6
+21.4
+49.6
-11.1
+ 1.5
+47.8
+9.6
1,572
283
6,572
29,677
25,577
306,874
10,290
1,754
1,700
291
8,327
43,403
27.290
356,998
14,896
1,736
+8.1
+2.8
+26.7
+46.3
+6.7
+ 16.3
+44.8
-1.0
72
74
1,146
4,571
8,773
86,698
4,718
543
109
64
1,739
6.698
8.366
95.352
7,131
570
315,082
1,082,108
419,448
1,173,731
+33.1
+8.5
47,703
387,296
65,146
397,876
+36.6
+2.7
38,104
344,495
53,721
400,920
+41.0
+ 16.4
5,863
100,732
8,610
111,419
1,397,190
1,593,179
+ 14.0
434,999
463,022
+6.4
382,599
454,641
+ 18.8
106.595
120,029
434,020
41,067
109,870
4.757
82,146
167,472
128,316
26,538
65,516
462,525
1 3,646
32,388
1,082,636
320,852
621,531
356.938
21,370
1,252,099
9,836
37,087
52,745
601,994
42,461
128,137
6,334
101,139
200,847
142.012
30,859
71,329
611,349
10,415
43,332
1,096,199
396,934
594,521
386,076
21,557
1,718,107
14,506
40,640
55,127
+38.7
+3.4
+ 16.6
+33.2
+23.1
+ 19.9
+ 10.7
+ 16.3
+8.9
+32.2
-23.7
+33.8
+ 1.3
+23.7
-4.3
+8.2
+.9
+37.2
+47.5
+9.6
+4.5
57,461
4,220
3,339
342
22,360
73,792
20,304
• 628
11,083
48,611
473
1,342
16,640
81,963
20,203
53,536
1,896
152,670
1,748
37,087
52,745
81,366
4,117
3,840
498
27,848
84,559
26,435
540
11,268
49,593
677
1,408
12,281
77,090
15,326
62,385
1,999
164,323
2.411
40,640
55,127
+41.6
-2.4
+ 15.0
+45.6
+24.5
+ 14.6
+30.2
-14.0
+ 1.7
+2.0
+43.1
+4.9
-26.2
-5.9
-24.1
+ 16.5
+5.4
+7.6
+37.9
+9.6
+4.5
77,793
21,619
92,163
3,144
10,644
19,977
10,321
43,710
5,855
82,259
1,696
6,227
142,017
68,986
60.565
74.003
3,451
254,188
1,635
14,812
72,008
116.002
23.283
110,592
4,506
13,722
24,571
11,278
47,320
6,246
123,652
1.499
10,200
160,487
90,680
66,103
90,816
3,690
353,798
2,544
16,072
71,485
+49.1
+7.7
+20.0
+43.3
+28.9
+23.0
+9.3
+8.3
+6.7
+50.3
-11.6
+63.8
+ 13.0
+31.4
+9.1
+22.7
+6.9
+39.2
+55.6
+8.5
-.7
17,029
2,033
1,461
240
2,257
7,557
1,340
1.178
883
8,417
24
836
2,578
29,251
3,620
12.954
412
43,303
459
14,812
72,008
24,635
2,056
2,039
311
2,929
7,717
1,662
631
795
6,298
32
761
1,953
30.143
2.712
16,280
387
44,299
569
16,072
71,485
+7.4
+51.4
-13.5
+51.7
+46.5
-4.6
+10.0
+51.1
+5.0
+46.9
+ 10.6
+ 12.6
+44.7
+ 1.1
+39.6
+29.6
+29.8
+2.1
+24.0
-46.4
-10.0
-25.2
+33.3
-9.0
-24.2
+3.0
-25.1
+25.7
-6.1
+2.3
+24.0
+8.5
-.7
'Violent crimes are ofTenses of murder, forcible rape, robbery, and aggravated assault.
^Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
'Includes arson.
181
T«ble 31.— TotiU Arrest Trends, 1989-1990
(8,698 agencies; 1990 population 171,812,000]
Number of
persons arrested
Oflense charged
Total all ages
Under
15 years
of age
Under
18 years of
age
1 8 years of age and over
1989
1990
Percent
change
1989
1990
Percent
change
1989
1990
Percent
change
1989
1990
Percent
change
TOTAL
9,632,113
10,052,233
+4.4
513,379
537,140
+4.6
1,514,451
1,584,861
+4.6
8,117,662
8,467,372
+4J
Murder and nonnegligent
manslaushter
14,855
25,526
110,827
296,177
305,624
1,070,344
154,247
12,684
16,551
27,554
122,832
332,791
299,543
1,098,081
152,127
13,595
+11.4
+7.9
+10.8
+ 12.4
-2.0
+2.6
-1.4
+7.2
235
1,366
7,327
11,774
39,715
144,613
17,634
3,995
253
1,422
8,203
13,182
39,510
150,044
18,379
3,970
+7.7
+4.1
+ 12.0
+ 12.0
-.5
+3.8
+4.2
-.6
1,854
3,949
25,804
39,395
99,810
319,335
63,959
5,764
2,331
4,160
30,235
45,534
99,666
331,804
66,388
6,042
+25.7
+5.3
+ 17.2
+ 15.6
-.1
+3.9
+3.8
+4.8
13,001
21,577
85,023
256,782
205,814
751,009
90,288
6,920
14,220
23,394
92,597
287,257
199,877
766,277
85,739
7,553
+9.4
+8.4
+8.9
Assravated assault
+11.9
Burglary
-2.9
+2.0
Motor vehicle theft
-5.0
+9.1
447,385
1,542,899
499,728
1,563,346
+ 11.7
+ 1.3
20,702
205,957
23,060
211,903
+ 11.4
+2.9
71,002
488,868
82,260
503,900
+ 15.9
+3.1
376,383
1,054,031
417,468
1,059,446
+ 10.9
ProDcrtv crime^
+.5
Crime Index total^
1,990,284
2,063,074
+3.7
226,659
234,963
+3.7
559,870
586,160
+4.7
1,430,414
1,476,914
+3.3
Other assaults
651,990
66,932
232,782
9,946
120,515
214,394
150,769
77,356
71,965
912,995
13,143
47,205
1,175,069
446,264
600,356
497,348
27,627
2,152,851
13,460
51,324
120,998
727,875
65,831
248,959
9,711
119,102
235,163
159,957
80,888
75,825
785,536
13,357
55,990
1,264,903
479,777
677,980
535,672
28,882
2,236,528
17,077
59,860
127,363
+ 11.6
-1.6
+6.9
-2.4
-1.2
+9.7
+6.1
+4.6
+5.4
-14.0
+ 1.6
+ 18.6
+7.6
+7.5
+ 12.9
+7.7
+4.5
+3.9
+26.9
+ 16.6
+5.3
37,175
812
2,749
57
8,515
43,775
7,067
121
6,018
10,627
102
649
285
8,611
1,877
25,921
645
64,687
744
14,873
52,154
42,634
1,134
2,346
48
8,607
46,767
7,751
124
6,269
8,088
140
659
314
9,396
2,175
27,676
758
64,208
1,031
17,038
56,045
+ 14.7
+39.7
-14.7
-15.8
+ 1.1
+6.8
+9.7
+2.5
+4.2
-23.9
+37.3
+ 1.5
+ 10.2
+9.1
+ 15.9
+6.8
+ 17.5
-.7
+38.6
+ 14.6
+7.5
94,944
5,436
8,675
943
30,833
87,204
27,025
1,103
12,023
75,549
590
1,849
13,957
103,533
16,121
82,136
2,112
218,226
2,180
51,324
120,998
108,408
6,067
8,766
676
31,309
95,771
29,696
1,157
12,391
59,056
728
2,066
14,394
110,125
18,408
89,189
2,448
220,823
2,932
59,860
127,363
+ 14.2
+ 11.6
+ 1.0
-28.3
+ 1.5
+9.8
+9.9
+4.9
+3.1
-21.8
+23.4
+ 11.7
+3.1
+6.4
+ 14.2
+8.6
+ 15.9
+ 1.2
+34.5
+ 16.6
+5.3
557,046
61,496
224,107
9,003
89,682
127,190
123,744
76,253
59,942
837,446
12,553
45,356
1,161,112
342,731
584,235
415,212
25,515
1,934,625
11,280
619,467
59,764
240,193
9,035
87,793
139,392
130,261
79,731
63,434
726,480
12,629
53,924
1,250,509
369,652
659,572
446,483
26,434
2,015,705
14,145
+11.2
-2.8
Fraud
+7.2
+.4
Stolen property; buying, receiving,
Dossessine
-2.1
+9.6
Weapons; carrying, possessing, etc. .
+5.3
+4.6
Sex offenses (except forcible rape
+5.8
-13.3
+.6
Offenses against family and
+18.9
+7.7
+7.9
Drunkenness
+ 12.9
+7.5
Vagrancy , , , ,
+3.6
All other offenses (except traffic) ...
Suspicion (not included in totals) ...
Curfew and loitering law violations .
+4.2
+25.4
'Violent crimes arc offenses of murder, forcible rape, robbery, and aggravated assault.
'Properly crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
Hncludes arson.
182
Table 32.— Total Airest Trends, Sex, 1989-1990
[8.698 agencies; 1990 population 171,812,000]
Offense charged
Males
Total
1989
1990
Percent
change
Under 18
1989
1990
Percent
change
Females
Total
1989
1990
Percent
change
Under 18
1989
1990
Percent
change
TOTAL
Murder and nonnegligent
manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime'
Property crime^
Crime Index total'
Other assaults
Forgery and counterfeiting
Fraud
Embezzlement
Stolen property; buying, receiving,
possessing
Vandalism
Weapons; carrying, possessing, etc.
Prostitution and commercialized
vice
Sex offenses (except forcible rape
and prostitution)
Drug abuse violations
Gambling
Offenses against family and
children
Driving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic)
Suspicion (not included in totals) .
Curfew and loitering law violations
Runaways
7,878,408
8,201,007
1,176,040
1,224,S52
+4.1
1,753,705
1,851,226
+5.6
338,411
360,309
13,079
25,210
101,220
257,333
277,747
739,323
138,560
11,003
14,830
27,264
112,498
289,208
272,457
746,318
136,889
11,817
+ 13.4
+8.1
+ 11.1
+ 12.4
-1.9
+.9
-1.2
+7.4
1,737
3,858
23,678
33,689
91,669
233,431
57,357
5,207
2,213
4,084
27,588
38,799
91,447
238,510
59,148
5,459
+27.4
+5.9
+ 16.5
+ 15.2
-.2
+2.2
+3.1
+4.8
1,776
. 316
9,607
38.844
27,877
331,021
15,687
1.681
1,721
290
10,334
43,583
27,086
351,763
15.238
1,778
-3.1
-8.2
+7.6
+ 12.2
-2.8
+6.3
-2.9
+5.8
117
91
2,126
5,706
8,141
85,904
6,602
557
118
76
2,647
6,735
8,219
93,294
7,240
583
396,842
1,166,633
443,800
1,167,481
+ 11.8
+.1
62,962
387,664
72.684
394,564
+ 15.4
+ 1.8
50,543
376,266
55,928
395,865
+ 10.7
+5.2
8,040
101,204
9,576
109,336
1,563,475
1,611,281
+3.1
450,626
467,248
+3.7
426,809
451,793
+5.9
109,244
118,912
548,791
44,044
127,574
5,742
106,283
190,988
139,247
23,218
66,354
760,862
11,109
38,900
1,031,404
360,298
541,706
402,981
24,043
1,800,772
11,356
37,455
53,162
610,312
42,857
138,428
5.570
104,925
209,941
148,125
27,503
69,994
653,340
11,515
45,746
1,104,132
388,132
610,214
432,878
25,242
1,862,212
14,510
43,214
55,446
+ 11.2
-2.7
+8.5
-3.0
-1.3
+9.9
+6.4
+ 18.5
+5.5
-14.1
+3.7
+ 17.6
+7.1
+7.7
+ 12.6
+7.4
+5.0
+3.4
+27.8
+ 15.4
+4.3
73,159
3,713
6,144
494
28,021
79,370
25,330
416
11,121
66,469
561
1,180
12,027
74.146
13,461
65,294
1,797
172,094
1,770
37,455
53,162
83,118
4,060
6,166
406
28,336
87,814
27,906
525
11,559
52,468
696
1,348
12,383
79,090
15,658
70,917
2,049
174,145
2,376
43,214
55,446
+ 13.6
+9.3
+.4
-17.8
+ 1.1
+ 10.6
+ 10.2
+26.2
+3.9
-21.1
+24.1
+ 14.2
+3.0
+6.7
+ 16.3
+8.6
+ 14.0
+ 1.2
+34.2
+ 15.4
+4.3
103,199
22,888
105,208
4,204
14,232
23,406
11,522
54,138
5.611
152,133
2,034
8,305
143,665
85,966
58,650
94,367
3,584
352,079
2,104
13,869
67,836
117,563
22,974
110,531
4,141
14,177
25,222
11.832
53,385
5.831
132,196
1.842
10,244
160,771
91,645
67,766
102,794
3.640
374,316
2,567
16,646
71,917
+ 13.9
+.4
+5.1
-1.5
-.4
+7.8
+2.7
-1.4
+3.9
-13.1
-9.4
+23.3
+ 11.9
+6.6
+ 15.5
+8.9
+ 1.6
+6.3
+22.0
+20.0
+6.0
21,785
1,723
2,531
449
2,812
7,834
1,695
687
902
9,080
29
669
1,930
29,387
2,660
16,842
315
46,132
410
13,869
67,836
25,290
2,007
2,600
270
2,973
7,957
1,790
632
832
6,588
32
718
2,011
31,035
2,750
18,272
399
46,678
556
16,646
71,917
+6,5
+.9
-16.5
24.5
+ 18.0
+1.0
+8.6
+9.7
+4.7
+ 19.1
+8.0
+8.8
+ 16.1
+ 16.5
+2.7
-39.9
+5.7
+ 1.6
+5.6
-8.0
-7.8
-27.4
+10.3
+7.3
+4.2
+5.6
+3.4
+8.5
+26.7
+ 1.2
+35.6
+20.0
+6.0
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
'Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
'Includes arson.
183
Table 33.— Total Arrests, Distribution by Age, 1990
[10,206 agencies; 1990 population 193,507,000]
Total
all
ages
Ages
under
15
Ages
under
18
Ages
18 and
over
Age
Offense charged
Under
10
10-12
13-14
15
16
17
18
19
20
21
TOTAL
11,2S0,083
100.0
S93,869
5J
1,754,542
15,6
9,495341
84.4
42,782
.4
147,985
IJ
403,102
3.6
322,836
2,9
390,418
3.5
447,419
4.0
532,947
4.7
5*5,273
5.0
52«,OSI
4.7
47SJ13
Percent distribotioilt
4J
Murder and nonnegligent
18,298
30,966
136,300
376,917
341,192
1,241,236
168,338
14,974
283
1,605
8,874
14,860
44,466
167,741
20,146
4,296
2,555
4,628
32,967
51,167
112,437
372,133
72,930
6,560
15,743
26,338
103,333
325,750
228,755
869,103
95,408
8,414
5
89
209
967
3,674
13,278
227
1,025
21
346
1,705
3,582
11,906
51,751
2,430
1,426
257
1,170
6,960
10,311
28,886
102,712
17,489
1,845
445
862
6,512
9,435
20,549
64,623
17,629
848
771
1,015
8,428
12,118
22,941
69,869
18,598
742
1,056
1,146
9,153
14,754
24,481
69,900
16,557
674
1,327
1,433
9,722
15,928
24,520
67,405
12,700
587
1,246
1,379
9,196
16,402
20,637
58,564
10,487
524
1,072
1,298
7,666
16,050
16,509
48,647
7,856
403
949
1,316
Robbery
6,882
Aiutravated assault
15,564
Burglary
13,659
41,577
Motor vehicle theft
6,495
372
Violent crime^
562,481
100.0
1,765,740
100.0
25,622
4.6
236,649
13.4
91,317
16.2
564,060
31.9
471,164
83.8
1,201,680
68.1
1,270
.2
18,204
1.0
5,654
1.0
67,513
3.8
18,698
3.3
150,932
8.5
17,254
3.1
103,649
5.9
22,332
4.0
112,150
6.4
26,109
4.6
111,612
6.3
28,410
'5.1
105,212
6.0
28,223
5.0
90,212
5.1
26,086
4.6
73,415
4.2
24,711
Percent distribution'
4.4
62,103
Percent distribution' . .
3.5
2,328,221
100.0
262,271
11.3
655,377
28.1
1,672,844
71.9
19,474
.8
73,167
3.1
169,630
7.3
120,903
5.2
134,482
5.8
137,721
5.9
133,622
5.7
118,435
5.1
99,501
4.3
86,814
3.7
801,425
74,393
279,776
12,055
131,656
256,558
176,137
91,093
84,852
869,155
15,443
65,992
1,390,906
552,039
716,504
579,674
31,237
2,572,491
17,753
64,568
138,155
46,746
1,217
2,441
85
9,260
50,529
8,328
140
6,817
8,758
152
821
368
10,449
2,315
29,785
779
72,325
1,093
18,641
60,549
119,058
6,760
9,468
864
34,087
103,754
31,991
1,281
13,507
64,740
798
2,611
15,772
122,047
19,344
95,999
2,531
248,735
3,095
64,568
138,155
682,367
67,633
270,308
11,191
97,569
152,804
144,146
89,812
71,345
804,415
14,645
63,381
1,375,134
429,992
697,160
483,675
28,706
2,323,756
14,658
3,358
57
87
7
279
7,128
280
II
628
193
11
161
100
214
138
2,080
33
5,997
116
315
2,115
12,983
296
386
15
1,717
16,022
1,543
23
1,934
865
21
161
44
858
232
7,282
144
16,290
284
2,872
10,846
30,405
864
1,968
63
7,264
27,379
6,505
106
4,255
7,700
120
499
224
9,377
1,945
20,423
602
50,038
693
15,454
47,588
21,376
1,005
2,196
71
6,920
16,897
6,069
188
2,433
10,788
140
571
684
17,133
2,867
17,827
526
42,918
578
15,015
35,731
23,934
1,785
1,766
228
8,349
18,031
7,812
326
2,109
18,093
198
595
3,899
35,285
4,791
21,873
610
58,378
701
17,795
29,378
27,002
2,753
3,065
480
9,558
18,297
9,782
627
2,148
27,101
308
624
10,821
59,180
9,371
26,514
616
75,114
723
13,117
12,497
28,899
3,837
6,750
685
10,589
15,759
11,590
1,671
2,486
39,103
450
1,717
28,155
86,760
19,692
30,703
1,205
108,514
760
31,624
4,446
10,321
805
9,178
13,781
10,966
2,814
2,590
44,319
429
1,809
39,674
90,150
22,763
32,005
1,107
127,232
825
31,637
4,085
11,897
694
7,379
11,059
9,371
3,635
2,552
43,383
359
2,081
45,776
70,828
23,250
30,232
953
126,683
696
32,688
Forgery and counterfeiting
3,681
12,097
Embezzlement
593
Stolen property; buying, receiving,
5,989
9,452
Weapons; carrying, possessing.
8,48S
Prostitution and commercialized
vice
4,327
2,505
Drug abuse violations
41,663
356
Offenses against family and
2,577
Driving under the influence
59,313
20,599
Drunkenness
28,200
30,736
934
All other offenses (except traffic)
Suspicion
123,441
763
Curfew and loitering law
See footnotes at end of table.
184
Table 33.— Total Arrests, Distribution by Age, 1990— Continiied
Offense charged
Age
22
23
24
25-29 30-34 35-39 40-44 45-49 50-54 55-59
60-64
65 and
over
TOTAL
Pemni distribotioDi
Murder and nonoegligent
manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson ,
Violent crime'
Percent distribution'
Property crime'
Percent distribution'
Crime Indej total*
Percent distribution'
Other assaults
Forgery and counterfeiting
Fraud
Embezzlement
Stolen property, buying, receiving,
possessing
Vandalism
Weapons; carrying, possessing,
etc
Prostitution and commercialized
vice
Sex oft'enses (except forcible rape
and prostitution)
Drug abuse violations
Gambling
OfTenses against family and
children
Driving under the inftuence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traftic)
Suspicion
Curfew and loitering law
violations
Runaways
439,599
3.9
836
1,251
6,056
14,836
12,042
37,022
5,490
388
22,979
4.1
54,942
3.1
77,921
3.3
31,544
3.381
12,504
556
5,216
8,292
7,600
4,216
2,470
40,032
316
2,397
57,766
14,922
26,194
26,900
958
115,781
633
422,6S8
3.8
423,683
3.8
2,00838
17.9
1,600,910
14.2
,053,593
9.4
622,896
5.5
343,618
3.1
197457
1.8
120,657
1.1
78,527
.7
752
1,204
5,806
14,682
11,166
35,352
4,942
354
710
1,183
5,608
14,734
10,650
34,357
4,496
324
2.964
5,771
23,608
71,927
48,112
165,172
18,504
1,585
2,115
4,728
15,461
57,946
35,305
139,961
11,971
1,325
1,454
2,887
7,766
37,391
19,856
97,302
6,520
1,011
940
1.680
3.274
22,032
9,042
56,579
3,239
655
554
920
1,265
11,935
3,959
30,598
1,469
384
298
547
541
6,930
1,660
18,654
629
196
192
310
256
4,027
828
12,965
284
138
146
204
116
2,625
376
9,845
152
84
22,444
4.0
51,814
2.9
22,235
4.0
49,827
2.8
104,270
18.5
233,373
13.2
8O250
14.3
188.562
107
49,498
124,689
7.1
27,926
5.0
69,515
3.9
14,674
2.6
36,510
2.1
8,316
1.5
21,139
1.2
4,785
.9
14,215
3,091
.5
10,457
.6
74,258
3.2
72,062
3.1
337,643
14.5
268,812
11.5
174,187
7.5
97,441
4.2
51.184
2.2
29,455
1.3
19,000
13,548
.6
32,055
3,158
12,642
573
4,684
7,612
7,022
4,571
2,519
38,855
312
2,504
57,688
11,513
25,721
24,477
888
110,960
646
33,141
3,151
12,983
523
4,521
7,321
6,729
5,028
2,605
39,999
371
2,816
59,494
1O209
26,343
24,162
984
110,583
658
160,607
15,137
60,410
2,339
18,700
31,682
28,213
25,875
13,962
194,382
1,810
14,000
305,300
39,755
135,624
102,620
5,325
511,512
3,412
125,217
11,771
49,801
1,700
13,471
21,823
20,484
18,981
12,377
152.195
1,909
13,170
253,878
29,037
125,043
75,216
5,382
397,862
2,781
78,178
7,454
35,573
1,182
8,699
12,362
13.385
9,703
9,232
91,609
1,692
9,579
174,604
20,214
94,558
45,850
4,271
259,477
1,784
44,463
3,956
21,736
715
4,558
6,594
8,485
4,328
6,374
45,210
1,578
5,419
115,374
13,552
62,520
26,635
2,615
150,433
910
23,270
1,888
11,006
404
2,289
3,159
4,864
2,022
3,957
18,543
1,429
2,696
71,379
8,486
40,292
14,409
1,620
80332
389
12,575
857
6,001
203
1,058
1,703
2,779
1,125
2,661
8,145
1,217
1,256
43,516
5,766
26,354
8,085
1,081
43,309
211
7,302
416
2,987
104
567
930
1,750
623
1,909
3,705
941
635
27,815
3,676
17,579
4,763
671
25,184
100
4,370
209
1,804
65
352
565
1,221
398
1,397
1,910
712
358
18,329
2,356
11,730
3,257
406
15,496
44
84,251
.7
188
227
110
2,741
434
15,003
174
84
3,266
.6
15,695
.9
18,961
4,797
206
1,796
50
319
710
1,202
495
1,749
1,362
764
367
17,073
2,169
11,297
3,625
306
16,957
46
'Because of rounding, the percentages may not add to total.
Violent cnmes arc offenses of murder, forcible rape, robbery, and aggravated assault.
'Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
^Includes arson.
185
Table 34.— Male Arrests, Distribiitioii by Age, 1990
[10,206 agencies; 1990 population 193,507,000]
Offense charged
Total
all
ages
Ages
under
15
Ages
under
18
Ages
18 and
over
Age
Under
10
10-12
13-14
15
16
19
20
TOTAL
Peicent distribution'
Murder and nonnegligent
manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime'
Percent distribution'
Property crime'
Percent distribution'
Crime Index total*
Percent distribution'
Other assaults
Forgery and counterfeiting
Fraud
Embezzlement
Stolen property; buying, receiving,
possessing
Vandalism
Weapons; carrying, possessing,
etc
Prostitution and commercialized
vice
Sex offenses (except forcible rape
and prostitution)
Drug abuse violations
Gambling
Offenses against family and
children
Driving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic)
Suspicion
Curfew and loitering law
violations
Runaways
9,181,930
100.0
442,954
4.8
1,355,638
14.8
7,826,292
85.2
36,060
.4
116.520
1.3
290,374
3.2
239,624
2.6
305,189
3.3
367,871
4.0
450,482
4.9
4754)75
5.2
441,431
4.8
16,387
30,630
125,015
326,780
311,220
843,851
151,449
13,024
256
1,560
7,791
12,116
40,141
121,483
17,217
3,876
2,423
4,546
30,168
43,454
103,314
266,916
65,029
5,940
13,964
26,084
94,847
283,326
207,906
576,935
86,420
7,084
3
86
198
878
3,322
10,797
212
949
18
335
1,528
3,023
10,775
38,801
2,120
1,312
235
1,139
6,065
8,215
26,044
71,885
14,885
1,615
422
848
5,916
7,874
18,920
45,265
15.640
754
737
1,003
7,806
10,431
21,262
49,844
16,886
685
1,008
1,135
8,655
13,033
22,991
50,324
15,286
625
1,259
1,429
9,245
14,285
23,020
48,946
11,845
542
1,162
1,366
8,689
14,671
19,286
41,341
9,790
487
996
1,287
7,194
14,112
15,329
33,734
7,237
359
498,812
100.0
1,319,544
100.0
21,723
4.4
182,717
13.8
80,591
16.2
441,199
33.4
418,221
83.8
878,345
66.6
1,165
.2
15,280
1.2
4,904
1.0
53,008
4.0
15,654
3.1
114,429
8.7
15,060
3.0
80.579
6.1
19,977
4.0
88,677
6.7
23,831
4.8
89,226
6.8
26,218
5.3
84.353
6.4
25,888
5.2
70.904
5.4
23,589
4,7
56,659
4.3
1,818,356
100.0
204,440
11.2
521,790
28.7
1,296,566
71.3
16,445
.9
57,912
3.2
130,083
7.2
95,639
5.3
108,654
6.0
113,057
6.2
110,571
6.1
96,792
5.3
80,248
4.4
672,455
48,667
156,120
7,083
115,864
228,872
163,055
32,770
78,291
723,329
13,314
54,216
1,213,216
448,898
644,594
469,055
27,307
2,144,717
15,091
46,471
60,189
34,778
787
1,719
58
8,241
46,215
7,611
68
6,273
7,423
146
497
297
5,854
1,610
22,558
633
54,489
826
12,470
25,961
91,334
4,532
6,629
532
30,813
95,070
30,055
587
12,594
57,457
761
1.700
13.567
87,646
16,379
76,246
2,116
196,664
2,506
46,471
60,189
581,121
44,135
149,491
6,551
85,051
133,802
133,000
32,183
65,697
665,872
12,553
52,516
1,199,649
361,252
628,215
392,809
25,191
1,948,053
12,585
2,856
42
67
4
247
6,647
271
565
169
11
90
86
166
118
1,724
27
4,659
83
267
1,512
10,182
201
285
9
1,548
14,757
1,401
15
1,768
710
20
110
37
506
162
5,817
118
13,017
236
2,021
5,688
21,740
544
1,367
45
6,446
24,811
5,939
49
3,940
6,544
115
297
174
5,182
1,330
15,017
488
36,813
507
10,182
18,761
15,922
638
1,621
43
6,211
15,424
5.683
76
2,296
9,431
137
333
548
10,919
2,231
13,785
441
32,621
461
10,534
14,630
18,614
1,199
1,221
159
7,562
16,597
7,429
139
2,008
16,162
186
386
3,297
25,335
4,075
17,699
513
46,807
565
13,293
13,289
22,020
1,908
2,068
272
8,799
16,834
9,332
304
2,017
24,441
292
484
9,425
45,538
8,463
22,204
529
62,747
654
10,174
6,309
24,177
2,537
4,119
376
9,658
14,534
11,040
620
2,321
34,998
418
1,384
24,928
69,713
17,935
26,034
1,059
93,378
682
26,522
3,032
5,929
422
8,310
12,580
10,409
920
2,346
39,128
407
1,457
35,078
73,982
20.901
26.806
945
109.268
741
26,554
2,766
6,718
381
6,572
9,953
8,898
1,159
2,262
37,918
336
1,667
40,454
59,300
21,262
25,333
788
108.244
618
See footnotes at end of table.
186
Table 34.— Male Arrests, Distribution by Age, 1990 — Continiied
Age
Offense charged
22
23
24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60-64
65 and
over
TOTAL
365,627
4.0
348,432
3.8
346,516
3.8
1,627,252
17.7
1,296,945
14.1
861,719
9.4
517,282
5.6
289,126
3.1
167,675
IJ
103,106
1.1
67,072
.7
69,288
PerceDl distribution'
.8
Murder and nonnegligent
752
1.243
5.574
12.994
11.056
24.576
5.000
358
680
1.195
5.341
12.739
10.135
23.156
4.420
300
627
1.174
5.106
12.703
9.628
22.297
3.981
287
2.592
5.709
21.310
61.786
43.377
106.415
16.346
1.301
1.791
4.659
13.887
49.654
31.624
92.154
10.569
1.048
1.212
2.861
7.011
32.389
17.584
65,685
5,796
828
818
1.661
2.986
19.234
7,987
37,913
2,962
524
474
917
1.154
10.471
3.501
19.781
1.342
311
257
544
487
6,212
1,443
11,320
578
158
169
307
231
3,580
714
7,481
253
111
123
203
104
2.380
317
5.427
142
70
162
227
Robberv
99
2,483
362
8,340
155
72
Violent crime^
20.563
4.1
40.990
3.1
19,955
4.0
38,021
2.9
19.610
3.9
36.193
2.7
91.397
18.3
167.439
12.7
69.991
14.0
135.395
10.3
43,473
8.7
89,893
6.8
24,699
5.0
49.386
3.7
13,016
2.6
24.935
1.9
7,500
1.5
13,499
1.0
4,287
.9
8,559
.6
2.810
.6
5,955
.5
2,971
.6
8,939
Percent distribution'
.7
61.553
3.4
57,976
3.2
55.803
3.1
258.836
14.2
205.386
11.3
133.366
7.3
74.085
41
37.951
2.1
20.999
1.2
12,845
.7
8,766
.5
11.910
.7
26.806
2.182
6,719
324
4,587
7.350
7.145
1,257
2.172
33.865
277
1,908
50.690
13,070
23,864
22,197
841
98,262
558
27,191
2,074
6,879
329
4,059
6,676
6.540
1.410
2.228
32.345
268
2.063
50.675
9.974
23.153
19.829
695
93.511
557
28.080
2.026
6.982
284
3.935
6.3i2
6.213
1.435
2.282
32.959
317
2.301
52.052
8.782
23.595
19.322
809
92.462
555
136.498
9.454
32.804
1.379
15.940
27.107
25.668
7.690
12.420
156.630
1.523
11.499
264.385
34.123
119.857
80,766
4.501
423.337
2.835
106.696
7.487
26.930
1.070
11.401
18.606
18.453
6.071
11.266
121.520
1.620
10.889
219.043
24.911
110.653
59.297
4.698
328.585
2.363
67.235
4.826
19.116
672
7.309
10.520
12,079
3,893
8,648
74,264
1,389
7,981
151,014
17,465
84,605
36,774
3,827
215.215
1,521
38.419
2,648
12.208
456
3.923
5.622
7.740
2.516
6.093
37.626
1.317
4.642
100.216
11.897
56.492
21.896
2.412
126.284
790
20.119
1,327
6,550
263
2,001
2,675
4,467
1,474
3,847
15,783
1,179
2,349
62,552
7,447
37.054
12.092
1.499
68.139
347
10.890
631
3.643
141
949
1.452
2.553
972
2,606
7.001
1.051
1.086
38.820
5.208
24,530
6,850
1,015
37,093
185
6.318
332
1,877
52
488
814
1.598
582
1.881
3.229
808
550
25,135
3,340
16,555
4,042
629
21,826
93
3.827
168
1.232
49
315
501
1.132
374
1.384
1.697
637
308
16.711
2,163
11,074
2,854
392
13,447
41
4,103
140
1,181
26
Stolen property; buying, receiving,
270
607
Weapons; carrying, possessing,
etc
1,099
Prostitution and commercialized
476
Sex offenses (except forcible rape
1,725
1,156
683
Offenses against family and
314
Driving under the influence
15,693
1,941
10,598
3,034
272
AH other offenses (except traffic)
13,919
41
Curfew and loitering lav^
Runaways
'Because of rounding, the percentages may not add lo total.
Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
'Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
^Includes arson.
187
Table 35.— Female Arrests, Distribution by Age, 1990
(10,206 agencies; 1990 population 193,507,000)
Offense charged
Total
all
ages
Ages
under
15
Ages
under
18
Ages
18 and
over
Age
Under
10
10-12
13-14
15
16
17
18
19
20
TOTAL
Percent distribution'
Murder and nonnegligeni
manslaughter
Forcible tape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime'
Percent distribution'
Property crime^ ....
Percent distribution'
Crime Index total*
Percent distribution'
Other assaults
Forgery and counterfeiting
Fraud
Embezzlement
Stolen property; buying, receiving,
possessing
Vandalism
Weapons; carrying, possessing,
etc
Prostitution and commercialized
vice
Se» offenses (except forcible rape
and prostitution)
Drug abuse violations
Gambling
Offenses against family and
children
Driving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic)
Suspicion
Curfew and loitering law
violations
Rimaways
2,068,153
100.0
1,911
336
11,285
50,137
29,972
397,385
16,889
1,950
63,669
100.0
446,196
100.0
509,865
100.0
128,970
25,726
123,656
4,972
15,792
27,686
13,082
58,323
6,561
145,826
2,129
11,776
177,690
103,141
71,910
110,619
3,930
427,774
2,662
18.097
77,966
150,915
7J
398,904
19J
1,669,249
80.7
6,722
31,465
1.5
112,728
SS
83,212
4.0
85,229
4.1
79,548
3J
82,465
4.0
89,298
4J
84,620
4.1
27
45
1,083
2,744
4,325
46.258
2,929
420
132
82
2,799
7,713
9,123
105,217
7,901
620
1,779
254
8,486
42,424
20,849
292,168
8,988
1,330
2
3
11
89
352
2,481
15
76
3
II
177
559
1,131
12,950
310
114
22
31
895
2,096
2,842
30,827
2,604
230
23
14
596
1,561
1,629
19,358
1,989
94
34
12
622
1,687
1,6/9
20,025
1,712
57
48
II
498
1,721
1,490
19,576
1,271
49
68
4
477
1,643
1,500
18,459
855
45
84
13
507
1,731
1,351
17,223
697
37
76
11
472
1,938
1,180
14,913
619
44
3,899
6.1
53,932
12.1
10,726
16.8
122,861
27.5
52,943
83.2
323,335
72.5
105
.2
2,924
.7
750
1.2
14,505
3.3
3,044
4.8
36,503
8.2
2,194
3.4
23,070
5.2
2,355
3.7
23,473
5.3
2,278
3.6
22,386
5.0
2,192
3.4
20,859
4.7
2,335
3.7
19,308
4.3
2,497
3.9
16,756
3.8
57,831
11.3
133,587
26.2
376,278
73.8
3,029
.6
15,255
3.0
39,547
7.8
25,264
5.0
25,828
5.1
24,664
4.8
23,051
4.5
21,643
4.2
19,253
3.8
11,968
430
722
27
1,019
4,314
717
72
544
1,335
6
324
71
4,595
705
7,227
146
17,836
267
6,171
34,588
27.724
2,228
2,839
332
3,274
8,684
1,936
694
913
7,283
37
911
2,205
34,401
2,965
19,753
415
52,071
589
18,097
77,966
101,246
23,498
120,817
4,640
12,518
19,002
11,146
57,629
5,648
138,543
2,092
10,865
175,485
68,740
68,945
90,866
3,515
375,703
2,073
502
15
20
3
32
481
71
14
48
20
356
6
1,338
33
48
603
2,801
95
101
6
169
1,265
142
166
155
1
51
7
352
70
1,465
26
3,273
48
851
5,158
8,665
320
601
18
818
2,568
566
57
315
1.156
5
202
50
4,195
615
5,406
114
13,225
186
5,272
28,827
5,454
367
575
28
709
1,473
386
112
137
1,357
3
238
136
6,214
636
4,042
85
10,297
117
4,481
21,101
5,320
586
545
69
787
1,434
383
187
101
1,931
12
209
602
9,950
716
4,174
97
11,571
136
4,502
16,089
4,982
845
997
208
759
1,463
450
323
131
2,660
16
140
1,396
13,642
908
4,310
87
12,367
69
2,943
6,188
4,722
1,300
2,631
309
931
1,225
550
1,051
165
4,105
32
333
3,227
17,047
1,757
4,669
146
15,136
78
5,102
1,414
4,392
383
868
1,201
557
1,894
244
5,191
22
352
4,596
16,168
1,862
5,199
162
17,964
84
5,083
1,319
5,179
313
807
1,106
473
2,476
290
5,465
23
414
5,322
11,528
1,988
4,899
165
18,439
78
See footnotes at end of table.
188
Table 35.— FenuUe Arrests, Distribution by Age, 1990 — Continued
Offense charged
Age
22
23
24
25-29 30-34 35-39 40-44 45-49
50-54
55-59
60-64
65 and
over
TOTAL
Pemnt dislribiitioii'
Murder and nonnegligent
manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime'
Percent distribution'
Property crime'
Percent distribution'
Crime Index total*
Percent distribution'
Other assaults
Forgery and counterfeiting
Fraud
Embezzlement
Stolen property; buying, receiving,
possessing
Vandalism
Weapons: carrying, possessing,
etc
Prostitution and commercialized
vice
Sex offenses (except forcible rape
and prostitution)
Drug abuse violations
Gambling
Offenses against family and
children
Driving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic)
Suspicion
Curfew and loitering law
violations
Runaways
73,972
3.6
84
8
482
1,842
986
12,446
490
30
2,416
3.8
13,952
3.1
16,368
3.2
4,738
1,199
5,785
232
629
942
455
2,959
298
6,167
39
489
7,076
1,852
2,330
4,703
117
17,519
75
74,226
3.6
77,167
3.7
381,056
18.4
303,965
14.7
191,874
9J
105,614
5.1
54,492
2.6
29,682
1.4
17351
.8
11,455
.6
72
9
465
1,943
1,031
12,186
522
54
83
9
502
2,031
1,022
12,060
515
37
372
62
2,298
10,141
4,735
58.757
2,158
284
324
69
1,574
8,292
3,681
47,807
1,402
277
242
26
755
5,002
2,272
31,617
724
183
122
19
288
2,798
1,055
18,666
277
131
80
3
111
1,464
458
10,917
127
73
41
3
54
718
217
7,334
51
38
23
3
25
447
114
5,484
31
27
23
1
12
245
59
4,418
10
14
2,489
3.9
13,793
3.1
2,625
4.1
13,634
3.1
12,873
20.2
65,934
14.8
10,259
16.1
53,167
11.9
6,025
9.5
34,796
7.8
3,227
5.1
20,129
4.5
1,658
2.6
11,575
2.6
816
1.3
7,640
1.7
498
.8
5,656
1.3
281
.4
4,501
1.0
16,282
3.2
16,259
3.2
78,807
15.5
63.426
12.4
40,821
8.0
23,356
4.6
13,233
2.6
8,456
1.7
6,154
1.2
4,782
.9
4,864
1,084
5,763
244
625
936
482
3,161
291
6.510
44
441
7,013
1,539
2,568
4,648
193
17,449
89
5,061
1,125
6,001
239
586
999
516
3,593
323
7,040
54
515
7,442
1,427
2,748
4,840
175
18,121
103
24,109
5,683
27,606
960
2,760
4,575
2.545
18.185
1,542
37,752
287
2,501
40,915
5,632
15,767
21,854
824
88,175
577
18,521
4,284
22,871
630
2,070
3,217
2,031
12,910
1,111
30,675
289
2,281
34,835
4,126
14,390
15,919
684
69,277
418
10,943
2,628
16,457
510
1,390
1,842
1,306
5,810
584
17,345
303
1,598
23,590
2,749
9,953
9,076
444
44,262
263
6,044
1,308
9,528
259
635
972
745
1,812
281
7.584
261
777
15,158
1,655
6,028
4,739
203
24,149
120
3,151
561
4,456
141
288
483
397
548
110
2,760
250
347
8,817
1,039
3,238
2,317
121
12,193
42
1,685
226
2,358
62
109
251
226
153
55
1,144
166
170
4,696
558
1,824
1,235
66
6,216
26
984
84
1,110
42
79
116
152
28
476
133
85
2,680
336
923
721
42
3,358
7
543
41
572
16
37
64
89
24
13
213
75
50
1,618
193
656
403
14
2,049
3
14,963
.7
26
11
258
72
6,663
9
12
295
.5
6,756
1.5
7,051
1.4
694
66
615
24
49
103
103
24
206
81
53
1,380
228
599
591
34
3,038
5
'Because of rounding, the percentages may not add to total.
Violent cnmes are offenses of murder, forcible rape, robbery, and aggravated assault.
'Properly cnmes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
'Includes arson.
189
Table 36.— Total Arrests of Persons under 15, 18, 21, and 25 Years of Age, 1990
;iO,206 agencies; 1990 population 193,507,000]
OfTense charged
Total
all ages
Number of persons arrested
Under 15 Under 18 Under 21
Under 25
Percent of total all ages
Under
15
Under
18
Under
21
Under
25
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime'
Property crime^
Crime Index total'
Other assaults
Forgery and counterfeiting
Fraud
Embezzlement
Stolen property; buying, receiving, possessing
Vandalism
Weapons; carrying, possessing, etc
Prostitution and commercialized vice
Sex offenses (except forcible rape and prostitution)
Drug abuse violations
Gambling
Offenses against family and children
Driving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic)
Suspicion
Curfew and loitering law violations
Runaways
11,250,083
18,298
30,966
136,300
376,917
341,192
1,241,236
168.338
14,974
562,481
1,765,740
2,328,221
801,425
74,393
279,776
12,055
131,656
256,558
176,137
91,093
84,852
869,155
15.443
65,992
1,390,906
552,039
716,504
579,674
31,237
2,572,491
17,753
64,568
138.155
593,8«9
1,754,542
3,378,813
5,139,96«
5J
15.6
283
1,605
8,874
14,860
44,466
167.741
20,146
4,296
2,555
4,628
32,967
51,167
112.437
372,133
72,930
6,560
6,200
8,738
59.551
99,547
174,103
546,749
103,973
8,074
9,447
13,692
83,903
159.363
221,620
695,057
125,395
9,512
1.5
5.2
6.5
3.9
13.0
13.5
12.0
28.7
14.0
14.9
24.2
13.6
33.0
30.0
43.3
43.8
25,622
236,649
91,317
564,060
174,036
832,899
266.405
1,051,585
4.6
13.4
16.2
31.9
262.271
655,377
1,006,935
1,317,990
11.3
28.1
46,746
1,217
2,441
85
9,260
50,529
8,328
140
6,817
8,758
152
821
368
10,449
2,315
29,785
779
72,325
1,093
18,641
60,549
119,058
6,760
9,468
864
34,087
103,754
31,991
1,281
13,507
64,740
798
2,611
15,772
122,047
19,344
95,999
2,531
248,735
3,095
64,568
138,155
211.218
19,128
38,436
3,048
61,233
144,353
63,918
9,401
21,135
191,545
2,036
8,218
129,377
369,785
85,049
188,939
5,796
611,164
5,376
64,568
138,155
340,646
32,499
88,662
5,293
81,643
177,030
93,754
27,543
31,234
352,094
3,391
18,512
363,638
427,028
191,507
295,214
9,560
1,071,929
8,076
64,568
138,155
5.8
1.6
.9
.7
7.0
19.7
4.7
.2
8.0
1.0
1.0
1.2
(4)
1.9
.3
5.1
2.5
2.8
6.2
28.9
43.8
14.9
9.1
3.4
7.2
25.9
40.4
18.2
1.4
15.9
7.4
5.2
4.0
1.1
22.1
2.7
16.6
8.1
9.7
17.4
100.0
100.0
30.0
33.9
28.2
43.7
26.4
51.0
44.0
61.8
53.9
30.9
47.2
43.2
26.4
25.7
13.7
25.3
46.5
56.3
36.3
10.3
24.9
22.0
13.2
12.5
9.3
67.0
11.9
32.6
18.6
23.8
30.3
100.0
100.0
45.7
51.6
44.2
61.6
42.3
65.0
56.0
74.5
63.5
47.4
59.6
56.6
42.5
43.7
31.7
43.9
62.0
69.0
53.2
30.2
36.8
40.5
22.0
28.1
26.1
77.4
26.7
50.9
30.6
41.7
45.5
100.0
100.0
'Violent crimes arc offenses of murder, forcible rape, robbery, and aggravated assault.
^Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
'Includes arson.
'Less than one-tenth of 1 percent.
190
Table 37.— Total Arrests, Distribution by Sex, 1990
(10,206 agencies; 1990 population 193,507.000]
OfTense chaiged
Number of persons arrested
Total
Male
Female
Percent
male
Percent
female
Percent distribution'
Total
Male
Female
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle thefl
Arson
Violent crime'
Property crime*
Crime Index total'
Other assaults
Forgery and counterfeiting
Fraud
Embezzlement
Stolen property; buying, receiving, possessing
Vandalism
Weapons; carrying, possessing, etc
Prostitution and commercialized vice
Sex offenses (except forcible rape and prostitution)
Drug abuse violations
Gambling
Offenses against family and children
Driving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except trafTic)
Suspicion
Ct«few and loitering law violations
Runaways
11,2SO,083
18,298
30,966
136,300
376,917
341,192
1,241,236
168,338
14,974
562,481
1,765,740
2,328,221
801,425
74,393
279,776
12,055
131,656
256,558
176,137
91,093
84,852
869,155
15,443
65,992
1,390,906
552,039
716,504
579,674
31,237
2,572.491
17,753
64,568
138,155
9,181,930
2,068,153
81.6
18.4
100.0
16,387
30,630
125,015
326,780
311,220
843,851
151,449
13,024
1,911
336
11,285
50,137
29,972
397,385
16,889
1,950
89.6
98.9
91.7
86.7
91.2
68.0
90.0
87.0
10.4
1.1
8.3
13.3
8.8
32.0
10.0
13.0
.2
.3
1.2
3.4
3.0
11.0
1.5
.1
498,812
1,319,544
63,669
446.196
88.7
74.7
11.3
25.3
5.0
15.7
1,818,356
509,865
78.1
21.9
20.7
672.455
48.667
156.120
7,083
115.864
228.872
163,055
32,770
78,291
723,329
13,314
54,216
1,213.216
448.898
644.594
469,055
27,307
2.144,717
15,091
46,471
60.189
128,970
25,726
123,656
4,972
15,792
27,686
13,082
58,323
6,561
145,826
2,129
11,776
177.690
103,141
71,910
110,619
3,930
427,774
2,662
18,097
77,966
83.9
65.4
55.8
58.8
88.0
89.2
92.6
36.0
92.3
83.2
86.2
82.2
87.2
81.3
90.0
80.9
87.4
83.4
85.0
72.0
43.6
16.1
34.6
44.2
41.2
12.0
10.8
7.4
54.0
7.7
16.8
13.8
17.8
12.8
18.7
10.0
19.1
12.6
16.6
15.0
28.0
56.4
7.1
.7
2.5
.1
1.2
2.3
1.6
.8
.8
7.7
.1
.6
12.4
4.9
6.4
5.2
.3
22.9
.2
.6
1.2
100.0
.2
.3
1.4
3.6
3.4
9.2
1.6
.1
5.4
14.4
19.8
7.3
.5
1.7
.1
1.3
2.5
1.8
.4
.9
7.9
.1
.6
13.2
4.9
7.0
5.1
.3
23.4
.2
.5
.7
100.0
.1
(2)
.5
2.4
1.4
19.2
.8
.1
3.1
21.6
24.7
6.2
1.2
6.0
.2
.8
1.3
.6
2.8
.3
7.1
.1
.6
8.6
5.0
3.5
5.3
.2
20.7
.1
.9
3.8
'Because of rounding, the percentages may not add to total.
'Less than one-tenth of I percent.
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
'Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
'Includes arson.
191
Table 38.— Total Arrests, Distributioii by Race, 1990
[10,110 agencies; 1990 population 192,939,000]
Offense charged
Total arrests
Total
White
Black
American
Indian
Alaskan
Native
Asian
Pacific
Islander
Percent distribution'
Total
White
Black
American
Indian
or
Alaskan
Native
Asian
Pacinc
Islander
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime^
Property crime'
Crime Index total*
Other assaults
Forgery and counterfeiting
Fraud
Embezzlement
Stolen property; buying, receiving,
possessing
Vandalism
Weapons; carrying, possessing, etc. ...
Prostitution and commercialized vice .
Sex ofTenses (except forcible rape and
prostitution)
Drug abuse violations
Gambling
Offenses against family and children
Driving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic)
Suspicion
Curfew and loitering law violations ...
Runaways
11,151468
18,190
30,802
135,904
373,872
338,096
1,231,255
167,908
14.833
558,768
1,752,092
2,310,860
795,907
73,127
273,499
11,906
129,698
253,273
174,331
90,898
83,611
860,016
15,349
64,606
1,371,236
548,292
713,599
576,626
30,994
2,555,503
17,746
64,260
136,031
7,712339
3,224,060
122,586
92383
100.0
69.2
28.9
7,942
16,973
51,229
223,952
230,310
827,860
99,821
11,154
9,952
13,309
83,165
143,540
101,855
374,968
64,526
3,410
132
249
482
3,549
3,001
13,359
1,264
162
164
271
1,028
2,831
2,930
15,068
2,297
107
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
43.7
55.1
37.7
59.9
68.1
67.2
59.4
75.2
54.7
43.2
61.2
38.4
30.1
30.5
38.4
23.0
300,096
1,169,145
249,966
544,759
4,412
17,786
4.294
20,402
100.0
100.0
53.7
66.7
44.7
31.1
1,469,241
794,725
22,198
24,696
100.0
63.6
34.4
510,552
47,330
180,671
7,900
74,517
191,269
102,228
54,345
65,798
503,315
7,251
42,469
1,227,221
478,873
566,075
379,324
17,617
1,619,001
7,462
50,721
109,159
269,560
24,839
90,708
3,816
53,482
57,253
69,331
35,398
16,271
349,965
7,294
19,602
118,729
52,831
130,226
186,671
12,644
886,880
10,125
11,379
22,331
9,594
434
1,091
53
697
2,520
878
450
796
2,935
21
801
1 5,406
13,478
15,518
7,904
620
24,602
87
724
1,779
6,201
524
1,029
137
1,002
2,231
1,894
705
746
3,801
783
1,734
9,880
3,110
1,780
2,727
113
25,020
72
1,436
2,762
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
64.1
64.7
66.1
66.4
57.5
75.5
58.6
59.8
78.7
58.5
47.2
65.7
89.5
87.3
79.3
65.8
56.8
63.4
42.0
78.9
80.2
33.9
34.0
33.2
32.1
41.2
22.6
39.8
38.9
19.5
40.7
47.5
30.3
8.7
9.6
18.2
32.4
40.8
34.7
57.1
17.7
16.4
.7
.8
.4
.9
.9
1.1
.8
1.1
1.0
1.0
1.2
.6
.4
.4
.5
1.0
.5
1.0
.3
.1
1.2
1.1
2.5
2.2
1.4
2.0
1.0
.5
1.1
1.3
.9
.9
.8
.8
.9
1.2
1.4
.7
.8
1.2
1.1
.8
.7
.4
1.2
.9
1.1
.9
.4
5.1
2.7
.7
.6
.2
.5
.4
1.0
.4
2.2
2.0
See footnotes at end of table.
192
Table 38.— Total Arrests, Distribution by Race, 1990— Continued
OfTense charged
Arrests under 18
Total
White
Black
American
Indian
or
Alaskan
Native
Asian
or
Pacific
Islander
Percent distribution'
Total
White
Black
Amencan
Indian
Alaskan
Native
Asian
or
Pacific
Islander
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime' .
Property crime'
Crime Index total'
Other assaults
Forgery and counterfeiting
Fraud
Embezzlement
Stolen property; buying, receiving,
possessing
Vandalism
Weapons; carrying, possessing, etc.
Prostitution and commercialized vice .
Sex offenses (except forcible rape and
prostitution)
Drug abuse violations
Gambling
Offenses against family and children .
Driving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic) ..
Suspicion
Curfew and loitering law violations
Runaways
1,738,680
2,550
4,621
32,893
50,629
111,149
368,871
72,760
6,497
90,693
559,277
649,970
118,198
6,678
9,355
854
33,596
102,598
31,796
1,279
13,230
64,230
798
2,481
15,650
121,075
19,295
95,416
2,530
246,268
3.092
64,260
136,031
1,239,241
455,164
18,416
25,859
100.0
113
26.2
998
2,427
11,781
28,164
83,600
269,102
43,010
5,293
1,514
2,118
20,627
21.498
24,760
88,754
27,726
1,082
10
35
108
398
1.208
4,540
689
63
28
41
377
569
1,581
6,475
1.335
59
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
39.1
52.5
35.8
55.6
75.2
73.0
59.1
81.5
59.4
45.8
62.7
42.5
22.3
24.1
38.1
16.7
43.370
401,005
45,757
142,322
551
6,500
1,015
9,450
100.0
100.0
47.8
71.7
50.5
25.4
444,375
188,079
7,051
10,465
100.0
68.4
28.9
72,820
5,046
5,584
575
19,269
82,593
19,648
840
9,530
32,267
161
1,876
14,764
112,500
17,055
63,571
1,821
172,977
2,089
50,721
109,159
42,351
1.508
3,604
269
13,713
17,936
11,536
417
3,473
31,281
616
531
555
5,159
1,861
30,487
647
66,527
904
11,379
22,331
1,096
55
36
1
198
910
140
16
84
270
4
9
246
2,638
316
705
26
2,053
59
724
1,779
1,931
69
131
9
416
1,159
472
143
412
17
65
85
778
63
653
36
4,711
40
1,436
2,762
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
61.6
75.6
59.7
67.3
57.4
80.5
61.8
65.7
72.0
50.2
20.2
75.6
94.3
92.9
88.4
66.6
72.0
70.2
67.6
78.9
80.2
35.8
22.6
38.5
31.5
40.8
17.5
36.3
32.6
26.3
48.7
77.2
21.4
3.5
4.3
9.6
32.0
25.6
27.0
29.2
17.7
16.4
.3
.8
l.I
1.2
.9
1.0
.6
1.2
1.1
.9
.8
.4
.1
.6
.9
.4
1.3
.6
.4
.5
.4
1.6
2.2
1.6
.7
1.0
.8
1.9
1.1
1.3
IS
l.I
.9
1.1
I.l
1.4
1.8
1.8
.9
1.1
1.7
1.6
1.6
1.0
1.4
1.1
1.2
1.1
1.5
l.I
.6
2.1
2.6
.5
.6
.3
.7
1.4
1.9
1.3
2.2
2.0
See footnotes at end of table.
Table 38.— Total Arrests, Distribution by Race, 1990 — Continued
OfTense charged
Arrests 18 and over
Total
White
Black
American
Indian
or
Alaskan
Native
Asian
PaciPic
Islander
Percent distribution'
Total
White
Black
American
Indian
Alaskan
Native
Asian
Pacific
Islander
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime'
Property crime'
Crime Index total'
Other assaults
Forgery and counterfeiting
Fraud
Embezzlement
Stolen property; buying, receiving,
possessing
Vandalism
Weapons; carrying, possessing, etc. ...
Prostitution and commercialized vice .
Sex ofTenses (except forcible rape and
prostitution)
Drug abuse violations
Gambling
Offenses against family and children .
Driving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic)
Suspicion
Curfew and loitering law violations ...
Runaways
9,412,688
15,640
26,181
103,011
323,243
226,947
862,384
95,148
8,336
468,075
1,192,815
1,660,890
677,709
66,449
264,144
11,052
96,102
150,675
142,535
89,619
70,381
795,786
14,551
62,125
1,355,586
427,217
694,304
481,210
28,464
2,309,235
14,654
6,473,098
2,768,896
104,170
66,524
100.0
68.8
29.4
6,944
14,546
39,448
195,788
146,710
558,758
56,811
5,861
8,438
11,191
62,538
122,042
77,095
286,214
36,800
2,328
122
214
374
3,151
1,793
8,819
575
99
136
230
651
2,262
1,349
8,593
962
48
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
44.4
55.6
38.3
60.6
64.6
64.8
59.7
70.3
54.0
42.7
60.7
37.8
34.0
33.2
38.7
27.9
256,726
768,140
204,209
402,437
3,861
11,286
3,279
10,952
100.0
100.0
54.8
64.4
43.6
33.7
1,024,866
606,646
15,147
14,231
100.0
61.7
36.5
437,732
42,284
175,087
7,325
55,248
108,676
82,580
53,505
56,268
471,048
7,090
40,593
1,212,457
366,373
549,020
315,753
15,796
1,446,024
5,373
227,209
23,331
87,104
3,547
39,769
39,317
57,795
34,981
12,798
318,684
6,678
19,071
118,174
47,672
128,365
156,184
11,997
820,353
9,221
8,498
379
1,055
52
499
1,610
738
434
712
2,665
17
792
15,160
10,840
15,202
7,199
594
22,549
28
4,270
455
898
128
586
1,072
1,422
699
603
3,389
766
1,669
9,795
2,332
1,717
2,074
77
20,309
32
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
64.6
63.6
66.3
66.3
57.5
72.1
57.9
59.7
79.9
59.2
48.7
65.3
89.4
85.8
79.1
65.6
55.5
62.6
36.7
33.5
35.1
33.0
32.1
41.4
26.1
40.5
39.0
18.2
40.0
45.9
30.7
8.7
11.2
18.5
32.5
42.1
35.5
62.9
.8
.8
.4
1.0
.8
1.0
.6
1.2
1.3
.6
.4
.5
.5
1.1
.5
1.0
.3
.1
1.3
l.I
2.5
1.2
1.5
2.1
1.0
.2
.9
.9
.6
.7
.6
1.0
1.0
.6
.7
.9
.6
.7
.3
1.2
.6
.7
I.O
.9
.4
5.3
2.7
.7
.5
.2
.4
.3
.9
.2
'Because of rounding, the percentages may not add to total.
Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
'Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
'Includes arson.
194
Table 39.— City Arrest Trends, 1989-1990
(6,082 agencies; 1990 population 119,446,000)
Number of persons arrested
OfTense charged
Total all ages
1989
1990
Percent
change
Under 1 8 years of age
1989
1990
Percent
change
1 8 years of age and over
1989
1990
Percent
change
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime'
Property crime^
Crime Index total'
Other assaults
Forgery and counterfeiting
Fraud
Embezzlement
Stolen property; buying, receiving, possessing
Vandalism
Weapons; carrying, possessing, etc
Prostitution and commercialized vice
Sex offenses (except forcible rape and
prostitution)
Drug abuse violations
Gambling
Offenses against family and children
Driving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic)
Suspicion (not included in total)
Curfew and loitering law violations
Runaways
7,551,540
11,806
19,451
99,752
234,416
232,456
919,493
125,014
9,462
365,425
1,286,425
1,651,850
522,087
50.437
139,634
7,346
98,854
172,091
122,306
73,289
54,356
734,008
10,724
25,327
732,879
355,708
493,890
438.61 1
25,806
1,697,227
12,525
48,669
96,441
7,883,002
13,114
21,016
111,383
263.900
230,190
942,189
123,452
9,985
409,413
1,305,816
1,715,229
582,130
49,905
152,594
7,147
97,756
190,097
131,410
76,333
57,07J
634,594
11,055
29.798
787,876
375,820
560,910
473,565
26.996
1.764.358
15.833
56,979
101,375
+4.4
1,276,441
U36,173
6,275,099
6346,829
+ 11.1
+8.0
+ 11.7
+ 12.6
-1.0
+2.5
-1.2
+5.5
1,631
3,081
23,993
33,338
75,508
279,732
53,308
4,571
2,059
3,253
28,152
38,312
76,333
290,303
55,192
4,741
+26.2
+5.6
+ 17.3
+ 14.9
+ 1.1
+3.8
+3.5
+3.7
10,175
16.370
75.759
201,078
156,948
639,761
71,706
4,891
11,055
17,763
83,231
225,588
153,857
651,886
68,260
5,244
+ 12.0
+ 1.5
62,043
413,119
71,776
426,569
+ 15.7
+3.3
303,382
873,306
337,637
879,247
+3.8
475,162
498,345
+4.9
1,176,688
1,216,884
+ 11.5
-1.1
+9.3
-2.7
-1.1
+ 10.5
+7.4
+4.2
+5.0
-13.5
+3.1
+ 17.7
+7.5
+5.7
+ 13.6
+8.0
+4.6
+4.0
+26.4
+ 17.1
+5.1
80,937
4,472
7,585
812
26,644
70,487
23,585
1,030
9,072
64,923
515
1,516
9,366
81,199
13,656
74,159
1,736
184,475
2,003
48,669
96,441
92,620
4,994
7,646
549
26,810
78,345
26,181
1,048
9,358
51,053
669
1,681
9,699
85,287
15.785
80,503
2,093
185,153
2,592
56,979
101,375
+ 14,4
+ 11.7
+.8
-32.4
+.6
+ 11. 1
+ 11.0
+ 1.7
+3.2
-21.4
+29.9
+ 10.9
+3.6
+5.0
+ 15.6
+8.6
+20.6
+.4
+29.4
+ 17.1
+5.1
441,150
45,965
132,049
6.534
72,210
101,604
98,721
72,259
45.284
669,085
10,209
23,811
723.513
274,509
480,234
364,452
24,070
1,512,752
10,522
489,510
44,911
144,948
6,598
70,946
111,752
105,229
75,285
47,717
583,541
10,386
28.117
778.177
290.533
545.125
393.062
24,903
1.579,205
13,241
+43
+8.6
+8.5
+9.9
+ 12.2
-2.0
+ 1.9
-4.8
+7.2
+11.3
+.7
+3.4
+ 11.0
-2.3
+9.8
+1.0
-1.8
+ 10.0
+6.6
+4.2
+5.4
-12.8
+ 1.7
+18.1
+7.6
+5.8
+ 13.5
+7.9
+3.5
+4.4
+25.8
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
'Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
'Includes arson.
195
Table 40.— City Arrest Trends, Sex, 1989-1990
[6,082 agencies; 1990 population 119,446,000]
Offense charged
Males
Total
1989
1990
Percent
change
Under 18
1989
1990
Percent
change
Females
Total
1989
1990
Percent
change
Under 18
1989
1990
Percent
change
TOTAL
Murder and nonnegligent
manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime'
Property crime^
Crime Index total'
Other assaults
Forgery and counterfeiting
Fraud
Embezzlement
Stolen property, buying, receiving,
possessing
Vandalism
Weapons; carrying, possessing, etc.
Prostitution and commercialized vice
Sex offenses (except forcible rape and
prostitution)
Drug abuse violations
Gambling
Offenses against family and children
Driving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic) ...
Suspicion (not included in totals) ...
Curfew and loitering law violations .
Runaways
6.152,916
6,404,668
+4.1
990,193
1,031,274
+4.1
1398,624
1,478334
+5.7
286,248
304,899
10,438
19,235
91,050
202,607
210,406
630,440
112,397
8,174
11,827
20,810
101,992
228,243
208,585
635,315
111,212
8,607
+ 13.3
+8.2
+ 12.0
+ 12.7
-.9
+.8
-I.I
+5.3
1,534
3,015
22,021
28,426
69,252
203,121
47,938
4,130
1,960
3,205
25,660
32,567
69,814
207,008
49,380
4,264
+27.8
+6.3
+ 16.5
+ 14.6
+.8
+ 1.9
+3.0
+3.2
1,368
216
8,702
31,809
22,050
289,053
12,617
1,288
1,287
206
9,391
35,657
21,605
306,874
12,240
1,378
-5.9
-4.6
+7.9
+ 12.1
-2.0
+6.2
-3.0
+7.0
97
66
1,972
4,912
6,256
76,611
5.370
441
99
48
2,492
5,745
6,519
83,295
5,812
477
323,330
961,417
362,872
963,719
+ 12.2
+.2
54,996
324,441
63.392
330,466
+ 15.3
+ 1.9
42,095
325,008
46,541
342,097
+ 10.6
+5.3
7,047
88,678
8,384
96,103
1,284,747
1,326,591
+3.3
379,437
393,858
+3.8
367,103
388.638
+5.9
95.725
104,487
439,144
33.070
80,096
4,185
87,115
153,034
112,707
21,745
49,631
612,795
9,135
19,131
638,387
287,738
445,635
354,467
22,566
1,420,277
10,591
35,556
41,755
488,061
32,470
89,686
3,980
86,035
169,591
121,531
25,510
52,108
528,310
9,628
22,092
682,575
304,321
504,903
381,671
23,633
1,467,578
13,473
41,202
43,192
+ 11. 1
-1.8
+ 12.0
-4.9
-1.2
+ 10.8
+7.8
+ 17.3
+5.0
-13.8
+5.4
+ 15.5
+6.9
+5.8
+ 13.3
+7.7
+4.7
+3.3
+27.2
+ 15.9
+3.4
62,209
3,018
5,466
412
24,225
64,046
22,055
391
8,370
57,440
497
928
8,038
58,460
11,410
59,072
1,479
145,929
1,637
35,556
41,755
70,843
3,334
5,474
320
24,300
71,838
24,577
467
8,730
45,616
648
1,055
8,317
61,599
13,459
64,167
1,766
146,512
2,107
41,202
43,192
+ 13.9
+ 10.5
+.1
-22.3
+.3
+ 12.2
+ 11.4
+ 19.4
+4.3
-20.6
+30.4
+ 13.7
+3.5
+5.4
+ 18.0
+8.6
+ 19.4
+.4
+28.7
+ 15.9
+3.4
82,943
17,367
59,538
3,161
11,739
19,057
9,599
51,544
4,725
121,213
1,589
6,196
94,492
67,970
48,255
84,144
3,240
276,950
1,934
13,113
54,686
94,069
17,435
62,908
3,167
11,721
20,506
9,879
50,823
4,967
106,284
1,427
7,706
105,301
71,499
56,007
91,894
3.363
296,780
2,360
15,777
58,183
+13.4
+.4
+5.7
+.2
-.2
+7.6
+2.9
-1.4
+5.1
-12.3
-10.2
+24.4
+ 11.4
+5.2
+16.1
+9.2
+3.8
+7.2
+22.0
+20.3
+6.4
18,728
1,454
2,119
400
2,419
6,441
1,530
639
702
7,483
18
588
1,328
22,739
2,246
15.087
257
38.546
366
13.113
54.686
21,777
1.660
2,172
229
2.510
6.507
1.604
581
628
5,437
21
626
1,382
23,688
2,326
16,336
327
38.641
485
15,777
58,183
+6.5
+2.1
-27.3
+26.4
+ 17.0
+4.2
+8.7
+8.2
+8.2
+19.0
+8.4
+9.2
+16.3
+14.2
+2.5
-42.8
+3.8
+1.0
+4.8
-9.1
-10.5
-27.3
+16.7
+6.5
+4.1
+4.2
+3.6
+8.3
+27.2
+.2
+32.5
+20.3
+6.4
'Violent crimes are ofTenses of murder, forcible rape, robbery, and aggravated assault.
^Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arwn.
includes arson.
196
Table 41.— Oty Arrests, Distribution by Age, 1990
(7.126 agencies; 1990 population 132,247,000)
Offense charged
Tom
■11 ages
Ages
under
15
Ages
under
18
Ages
18 and
over
Age
Under
10
10-12
13-14
15
16
17
19
20
TOTAL
Pcrent distribatioii
Murder and nonnegligcnt manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime'
Percent distribution'
Property crime'
Percent distribution'
Crime Index total*
Percent distribution'
Other assaults
Forgery and counterfeiting
Fraud
Embezzlement
Stolen property, buying, receiving,
possessing
Vandalism
Weapons; carrying, possessing, etc
Prostitution and commercialized vice .
Sen ofTenses (except forcible rape and
prostitution)
Dnjg abuse violations
Gambling
Offenses against family and children ..
Driving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other ofTenses (except trafTic)
Suspicion
Curfew and loitering law violations . . .
Runaways
8,723,889
100.0
14,149
23,246
120,898
292,522
257,486
1,055,699
134,914
10.935
450,815
100.0
1,459.034
100.0
1,909.849
100.0
635,546
56,205
170,990
8,714
107,011
206.675
143,610
84,141
63,241
692,341
12,678
37,158
875,407
438,378
591,291
512,137
29,306
1.961.488
16.264
61.506
109,953
509,432
5.8
1,471,431
16.9
7,252,458
83.1
36,871
.4
128,686
343,875
3.9
272J04
3.1
324364
3.7
365,331
4.2
421,090
4.8
443,445
5.1
237
1,240
8,271
12,268
34,770
149,626
16.753
3.411
2,192
3,563
30,204
42,240
85,010
324,533
60,092
5,150
11,957
19,683
90,694
250,282
172.476
731.166
74,822
5,785
3
81
199
764
2,890
12,048
186
816
17
261
1,599
2,900
9,415
46,930
2,055
1,130
217
898
6,473
8,604
22,465
90,648
14,512
1,465
393
667
5,997
7,921
15,626
56,227
14,616
666
681
778
7,681
10.021
17,108
59.948
15,255
597
881
878
8,255
12,030
17,506
58,732
13,468
476
1.121
1.083
8,567
12,706
16,891
55,553
10,043
414
1,043
1,037
8,084
12,959
14,277
48,181
8,211
372
22.016
4.9
204.560
14.0
78,199
17.3
474,785
32.5
372.616
82.7
984,249
67.5
1,047
.2
15,940
1.1
4,777
1.1
59,530
4.1
16,192
3.6
129,090
14,978
3.3
87,135
6.0
19,161
4.3
92,908
6.4
22,044
4.9
90,182
6.2
23,477
5.2
82,901
5.7
23,123
5.1
71,041
4.9
226.576
11.9
552,984
29.0
1,356,865
71.0
16,987
.9
64,307
3.4
145,282
7.6
102,113
5.3
112,069
5.9
112,226
5.9
106.378
5.6
94,164
4.8
40,347
1,072
2.225
51
8.114
42,249
7,304
127
5.165
7,689
141
736
272
8.482
1,989
26.923
713
61.216
959
17,692
49,390
101,108
5,576
8,135
681
29.107
84,630
28,056
1,157
10,140
55,398
731
2,198
10,756
95,123
16,587
86,754
2,173
205,946
2,732
61,506
109,953
534,438
50,629
162,855
8,033
77,904
122,045
115,554
82,984
53,101
636.943
11,947
34,960
864.651
343,255
574.704
425.383
27,133
1,755,542
13,532
2,790
50
70
5
245
5,954
234
11
479
149
10
143
80
166
107
1,846
29
5,240
104
301
1,871
11,310
270
347
5
1,551
13,528
1,328
21
1,500
740
20
140
29
697
194
6,551
133
13,983
240
2,710
9,082
26,247
752
1,808
41
6,318
22,767
5,742
95
3,186
6,800
111
453
163
7,619
1,688
18,526
551
41,993
615
14,681
38,437
18,394
850
2,050
57
5.952
13,854
5.347
162
1.812
9,323
132
509
494
13,662
2,502
16,201
473
35,317
524
14,361
28,215
19,971
1,479
1,482
186
7,015
14,325
6,888
291
1,576
15,615
187
484
2,720
27,472
4,155
19,802
525
47,798
600
16,928
22,796
22,396
2,175
2,378
387
8,026
14.202
8,517
577
1,587
22,771
271
469
7.270
45,507
7,941
23.828
462
61,615
649
12,525
9,552
23.223
2.977
4.760
537
8,660
12,093
9,768
1,547
1,770
32,012
378
1,169
17,884
67,402
15,606
27,409
1,066
85,767
684
25,573
3.421
7,003
648
7,324
10,773
9,222
2,595
1,930
35,653
380
1,253
25,935
70,580
18,379
28,561
1,001
98,288
762
410,149
4.7
884
1.007
6.741
12,698
11,616
40,239
6.174
273
21,330
4.7
58,302
4.0
79,632
4.2
25,523
3,017
7,635
537
5,919
8,759
7,795
3,423
1,932
34,504
324
1,377
29,593
55,834
18,586
26,959
859
97,298
643
Sec footnotes at end of table.
197
Table 41.— City Arrests, Distribution by Age, 1990— Continued
OfTense charged
Age
22
23
24 25-29 30-34 35-39 40-44 45-49 50-54
55-59
60-64
65 and
over
TOTAL
Percent dutribntion'
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime'
Percent distribution'
Property crime^
Percent distribution'
Crime Index total'
Percent distribution'
Other assaults
Forgery and counterfeiting
Fraud
Embezzlement
Stolen property; buying, receiving,
possessing
Vandalism
Weapons; carrying, possessing, etc. ...
Prostitution and commercialized vice
Sex ofTenses (except forcible rape and
prostitution)
Drug abuse violations
Gambling
OfTenses against family and children .
Driving under the inftuence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic) ....
Suspicion
Curfew and loitering law violations . . .
Runaways
369,706
4.2
753
1,001
5,994
12,314
10,024
34,710
5,093
245
20,062
4.5
50,072
3.4
70134
3.7
26,376
2,754
7,732
450
4,855
7,602
6,955
4,073
1,905
33,240
311
1,555
38,697
16,586
22,846
27,524
839
94,580
692
339 J90
3.9
324,079
3.7
323,861
3.7
1428,464
173
1,216,221
13.9
796,447
9.1
465,701
SJ
253,668
2.9
14638S
1.7
89,927
1.0
59,131
.7
661
955
5,300
11,635
8,978
30,808
4,339
272
574
930
5,080
11,475
8,349
29,536
3,911
253
550
908
4,897
11,540
8,035
28,931
3,500
224
2,262
4,396
20,774
55,419
37,452
139,083
14,520
1,099
1,573
3,560
13,621
44,055
28,101
119,209
9,558
898
1,030
2,104
6,827
28,368
15,922
82,746
5,090
677
623
1,187
2,872
16,572
7,221
47,890
2,434
458
353
643
1,069
8,681
3,112
25,826
1,075
257
197
386
452
5,005
1,289
15,795
444
131
123
189
215
2,916
618
11,003
200
93
94
149
105
1,919
260
8,449
107
56
18,551
4.1
44,397
3.0
18,059
4.0
42,049
2.9
17,895
4.0
40,690
2.8
82,851
18.4
192,154
13.2
62,809
13.9
157,766
108
38,329
8.5
104.435
7.2
21,254
4.7
58,003
4.0
10,746
2.4
30,270
2.1
6,040
1.3
17,659
1.2
-3,443
.8
11.914
2,267
.5
8,872
.6
62,948
3.3
60 1 08
3.1
58,585
3.1
275,005
14.4
220,575
11.5
142,764
7.5
79,257
4.1
41,016
2.1
23,699
1.2
15,357
11,139
.6
25,355
2,548
7,798
435
4,175
6,672
6,206
3,950
1,885
31,793
284
1,445
37,070
12,108
21,243
24,076
892
87,921
586
25,665
2,323
7,591
445
3,710
6,197
5,679
4,272
1,989
30828
262
1,445
36,423
9,238
20797
21,694
821
83,999
593
26,178
2,406
7,860
387
3,617
5,929
5,452
4,711
2,006
31,687
304
1,567
37,440
8,165
21,294
21,427
923
83,310
613
127,018
11,274
36,438
1,692
14,852
25,692
22,471
23,983
10,812
153,206
1,544
7,760
193,063
31,882
1 10,648
90355
5,017
382,570
3,182
97,855
8,943
29,623
1,159
10,698
17,736
16,141
17,529
9,396
119,911
1,569
7,000
159,082
23,898
103,355
65,875
5,148
298,152
2,576
59.970
5,537
20,694
801
6.981
9,985
10,379
8,861
6,767
72,375
1,359
4,970
108,248
16,908
79,036
39,734
4,124
195,294
1,660
33,531
2,883
12,312
435
3,614
5,190
6,599
3,916
4,551
35,579
1,230
2,700
71,378
11,526
52,388
22,952
2,523
112,301
836
17,159
1,371
6,045
254
1,751
2,472
3,674
1,787
2,864
14,494
1,121
1,309
43,737
7,162
33,775
12,145
1,553
59,631
348
9,064
615
3,552
120
807
1,315
2,070
1,000
1,860
6,382
960
622
26,693
4,979
22,160
6,853
1,050
32,393
191
5,269
263
1,615
70
440
678
1,289
551
1,290
2,869
735
342
17,261
3,143
14,905
4,051
648
19,059
92
3,125
146
1,062
36
264
413
929
353
961
1,409
555
211
11,417
2,029
9,962
2,775
387
11,921
37
64,794
.7
116
148
96
2,020
331
13,207
123
63
2,380
.5
13,724
.9
16,104
3,554
151
1,135
27
237
539
925
433
1,183
1,001
631
235
10.730
1,815
9,724
2,993
282
13,058
37
'Because of rounding, the percentages may not add to total.
Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
'Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
'Includes arson.
198
Table 42.— City Arrests of Persons under 15, 18, 21, and 25 Years of Age, 1990
[7,126 agencies; 1990 population 132,247,000]
Offense charged
Total all
ages
Number of persons arrested
Under 15 Under 18 Under 21
Under 25
Percent of total all ages
Under
15
Under
18
Under
21
Under
25
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime'
Property crime^
Crime Index total'
Other assaults
Forgery and counterfeiting
Fraud
Embezzlement
Stolen property, buying, receiving, possessing
Vandalism
Weapons; carrying, possessing, etc
Prostitution and commercialized vice
Sex offenses (except forcible rape and prostitution)
Dr\ig abuse violations
Gambling
Offenses against family and children
Driving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic)
Suspicion
Curfew and loitering law violations
Runaways
8,723,889
14,149
23,246
120,898
292,522
257,486
1,055,699
134,914
10,935
450,815
1,459,034
1,909,849
635,546
56,205
170,990
8,714
107,011
206,675
143,610
84,141
63,241
692,341
12,678
37.158
875,407
438,378
591,291
512,137
29,306
1,961,488
16,264
61,506
109,953
S09,432
1,471,431
2,746,115
4,103,151
5.8
16.9
237
1,240
8,271
12,268
34,770
149,626
16,753
3,411
2,192
3,563
30.204
42,240
85,010
324,533
60,092
5,150
5,240
6,690
53,596
80,603
127,794
468,506
84,520
6,209
7,778
10,484
74,867
127,567
163,180
592.491
101,363
7,203
1.7
5.3
6.8
4.2
13.5
14.2
12.4
31.2
15.5
15.3
25.0
14.4
33.0
30.7
44.5
47.1
22,016
204,560
78,199
474,785
146.129
687,029
220,696
864,237
4.9
14.0
17.3
32.5
226,576
552,984
833,158
1,084,933
11.9
29.0
40,347
1,072
2,225
51
8,114
42,249
7,304
127
5,165
7,689
141
736
272
8,482
1,989
26,923
713
61,216
959
17,692
49,390
101,108
5,576
8,135
681
29,107
84,630
28,056
1,157
10,140
55,398
731
2,198
10,756
95,123
16,587
86,754
2,173
205,946
2,732
61,506
109,953
175,427
14,991
27,533
2,403
51,010
116,255
54,841
8,722
15,772
157,567
1,813
5,997
84,168
288.939
69,158
169,683
5,099
487,299
4,821
61,506
109,953
279,001
25,022
58,514
4,120
67,367
142,655
79,133
25,728
23,557
285,115
2.974
12,009
233,798
335,036
155.338
264,404
8,574
837,109
7,305
61,506
109,953
6.3
1.9
1.3
.6
7.6
20.4
5.1
.2
8.2
1.1
1.1
2.0
(4)
1.9
.3
5.3
2.4
3.1
5.9
28.8
44.9
15.9
9.9
4.8
7.8
27.2
40.9
19.5
1.4
16.0
8.0
5.8
5.9
1.2
21.7
2.8
16.9
7.4
10.5
16.8
100.0
100.0
31S
37.0
28.8
44.3
27.6
49.6
44.4
62.6
56.8
32.4
47.1
43.6
27.6
26.7
16.1
27.6
47.7
56.3
38.2
10.4
24.9
22.8
14.3
16.1
9.6
65.9
11.7
33.1
17.4
24.8
29.6
100.0
100.0
47.0
55.0
45.1
61.9
43.6
63.4
56.1
75.1
65.9
49.0
59.2
56.8
43.9
44.5
34.2
47.3
63.0
69.0
55.1
30.6
37.2
41.2
23.5
32.3
26.7
76.4
26.3
51.6
29.3
42.7
44.9
100.0
100.0
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
^Property crimes are offenses of burglary, larceny-theft, molor vehicle theft, and ar^on.
'Includes arson.
*Less than one-tenth of 1 percent.
199
Table 43.— City Arrests, Distribution by Sex, 1990
(7,126 agencies; 1990 population 132,247,000]
Oflense charged
Number of persons arrested
Total
Male
Female
Percent
male
Percent
female
Percent distribution'
Total
Male
Female
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime^
Property crime*
Crime Index total'
Other assaults
Forgery and counterfeiting
Fraud
Embezzlement
Stolen property; buying, receiving, possessing
Vandalism
Weapons; carrying, possessing, etc
Prostitution and commercialized vice
Sex offenses (except forcible rape and prostitution)
Drug abuse violations
Gambling
Offenses against family and children
Driving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic)
Suspicion
Curfew and loitering law violations
Runaways
8,723,889
14,149
23,246
120,898
292,522
257,486
1,055,699
134,914
10,935
450,815
1,459,034
1,909,849
635,546
56,205
170,990
8,714
107,011
206,675
143,610
84,141
63,241
692,341
12,678
37,158
875,407
438,378
591,291
512,137
29,306
1,961,488
16,264
61,506
109,953
7,087,906
l,«3S,983
81.2
18.8
100.0
12,749
23,015
110,799
252,462
233,924
711,249
121,466
9,437
1,400
231
10,099
40,060
23,562
344,450
13,448
1,498
90.1
99.0
91.6
86.3
90.8
67.4
90.0
86.3
9.9
1.0
8.4
13.7
9.2
32.6
10.0
13.7
.2
.3
1.4
3.4
3.0
12.1
1.5
.1
399,025
1,076,076
51,790
382,958
88.5
73.8
11.5
26.2
5.2
16.7
1,475,101
434,748
77.2
22.8
21.9
532,819
36,601
100,479
4,994
94,089
184,247
132,790
29,345
57,747
576,788
11,066
28,186
758,138
357,261
531,950
413,295
25,664
1,632,338
13,842
44,326
46,840
102,727
19,604
70,511
3,720
12,922
22,428
10,820
54,796
5.494
115,553
1,612
8,972
117,269
81,117
59,341
98,842
3,642
329,150
2,422
17,180
63,113
83.8
65.1
58.8
57.3
87.9
89.1
92.5
34.9
91.3
83.3
87.3
75.9
86.6
81.5
90.0
80.7
87,.6
83.2
85.1
72.1
42.6
16.2
34.9
41.2
42.7
12.1
10.9
7.5
65.1
8.7
16.7
12.7
24.1
13.4
I8.S
10.0
19.3
12.4
16.8
14.9
27.9
57.4
7.3
.6
2.0
.1
1.2
2.4
1.6
1.0
.7
7.9
.1
.4
10.0
5.0
6.8
5.9
.3
22.5
.2
.7
1.3
100.0
.2
.3
1.6
3.6
3.3
10.0
1.7
.1
5.6
15.2
20.8
7.5
.5
1.4
.1
1.3
2.6
1.9
.4
.8
8.1
.2
.4
10.7
5.0
7.5
5.8
.4
23.0
.2
.6
.7
100.0
.1
(2)
.6
2.4
1.4
21.1
.8
.1
3.2
23.4
26.6
6.3
1.2
4.3
.2
.8
1.4
.7
3.3
.3
7.1
.1
.5
7.2
5.0
3.6
6.0
.2
20.1
.1
1.1
3.9
■Because of rounding, the percentages may not add to total.
^Less than one-tenth of 1 percent.
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
*Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
'Includes arson.
200
Table 44.— City Anests, Distribution by Race, 1990
[7.112 agencies; 1990 population 132,012,000]
Offense charged
Total arrests
Total
White
Black
American
Indian
or
Alaskan
Native
Asian
or
Pacific
Islander
Percent distribution'
Total
White
Black
American
Indian
Alaskan
Native
Pacific
Islander
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime^
Property crime'
Crime Index total*
Other assaults
Forgery and counterfeiting
Fraud
Embezzlement
Stolen property; buying, receiving,
possessing
Vandalism
Weapons; carrying, possessing, etc. ...
Prostitution and commercialized vice .
Sex offenses (except forcible rape and
prostitution)
Drug abuse violations
Gambling
Offenses against family and children .
Driving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic)
Suspicion
Curfew and loitering law violations ...
Runaways
8,703,047
14,113
23,195
120,671
292,022
256,984
1,054,015
134,802
10,897
450,001
1,456,698
1,906,699
633,917
56,097
170,525
8.71 1
106,730
206,103
143,094
83,961
63,125
690,855
12,663
36,755
872,902
437,425
588,684
511,292
29,090
1,957,968
16,259
61,207
108,985
5,776,360
2,754,678
94,844
77,165
100.0
66.4
31.7
5,191
11,478
44,072
164,793
166,069
699,199
75,878
7,874
8,703
11,316
75,248
122,427
86,468
329,527
56,017
2,847
86
163
414
2,385
2,069
12,057
922
92
133
238
937
2,417
2,378
13,232
1,985
84
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
36.8
49.5
36.5
56.4
64.6
66.3
56.3
72.3
61.7
48.8
62.4
41.9
33.6
31.3
41.6
26.1
225,534
949,020
217,694
474,859
3,048
15,140
3,725
17,679
100.0
100.0
50.1
65.1
48.4
32.6
1,174,554
692,553
18,188
21,404
100.0
61.6
36.3
388,033
34,830
107,899
5,677
57,862
150,855
79,262
49,118
47.759
381,914
5,353
23,968
767,141
377,897
456,091
327,190
16,097
1,184,928
6,247
48,387
85,298
233,544
20,517
61,202
2,899
47,486
51,371
61,499
33,760
14,117
303,764
6,607
10,666
88.812
45,207
118,189
175,749
12,290
733,164
9,912
11,182
20,188
7,419
307
589
42
513
1,958
653
417
592
2,076
19
512
9.795
11,737
12,985
5,977
598
18,433
31
679
1,324
4,921
443
835
93
869
1,919
1,680
666
657
3,101
684
1,609
7.154
2.584
1,419
2,376
105
21,443
69
959
2,175
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
61.2
62.1
63.3
65.2
54.2
73.2
55.4
58.5
75.7
55.3
42.3
65.2
87.9
86.4
77.5
64.0
55.3
60.5
38.4
79.1
78.3
36.8
36.6
35.9
33.3
44.5
24.9
43.0
40.2
22.4
44.0
52.2
29.0
10.2
10.3
20.1
34.4
42.2
37.4
61.0
18.3
18.5
1.1
.7
I.O
1.0
1.2
.5
.3
.5
.5
1.0
.5
.9
.3
.2
1.4
I.I
2.7
2.2
1.2
2.1
.9
.2
1.1
1.2
.9
1.0
.8
.8
.9
1.3
1.5
1.2
I.I
.8
.8
.5
1.1
.9
1.2
1.0
.4
5.4
4.4
.6
.2
.5
.4
I.I
.4
1.6
2.0
See footnotes at end of table.
201
Table 44.— City Arrests, Distribntion by Race, 1990— Continued
OiTense charged
Arrests under 18
Total
White
Black
American
Indian
or
Alaskan
Native
Asian
Pacific
Islander
Percent distribution'
Total
White
Black
Amencan
Indian
Alaskan
Native
Asian
Pacific
Islander
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime'
Property crime^
Crime Index total*
Other assaults
Forgery and counterfeiting
Fraud
Embezzlement
Stolen property; buying, receiving,
possessing
Vandalism
Weapons; carrying, possessing, etc. ...
Prostitution and commercialized vice .
Sex ofTenses (except forcible rape and
prostitution)
Drug abuse violations
Gambling
Offenses against family and children .
Driving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other oftenses (except traffic)
Suspicion
Curfew and loitering law violations ...
Runaways
1,467,060
2,191
3,562
30,154
42,133
84,815
324,035
60,049
5,140
78,040
474,039
552,079
100,680
5,572
8,131
681
29,072
84,405
28,004
1,156
10,124
55,299
731
2,158
10,731
94,847
16,558
86,542
2,173
205,194
2,731
61,207
108,985
1,020,622
409,510
1S,12S
21,803
100.0
69.6
27.9
790
1,660
10,673
22,688
61,531
234,517
33,843
4.102
1,371
1,841
19,035
18,688
21,126
79,660
24,513
941
5
23
95
275
870
4,177
534
52
25
38
351
482
1,288
5,681
1,159
45
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
36.1
46.6
35.4
53.8
72.5
72.4
56.4
79.8
62.6
51.7
63.1
44.4
24.9
24.6
40.8
18.3
35,811
333,993
40,935
126,240
398
5,633
896
8,173
100.0
iOO.O
45.9
70.5
52.5
26.6
369,804
167,175
6,031
9,069
100.0
67.0
30.3
60,259
4,115
4,605
473
16,135
66,451
16,941
742
6,908
26.410
126
1,593
10,035
87,480
14,556
56,607
1,530
140,353
1,814
48.387
85.298
37,924
1,355
3,378
199
12,428
16,260
10,544
395
3,042
28,366
585
497
450
4,616
1,683
28,763
591
59,018
871
11,182
20,188
890
1,607
100.0
47
55
100.0
31
117
100.0
I
8
100.0
155
354
100.0
700
994
100.0
101
418
100.0
13
47
226
3
4
178
2,153
265
567
20
1,684
6
679
1,324
127
297
17
64
68
598
54
605
32
4,139
40
959
2,175
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
59.9
73.9
56.6
69.5
55.5
78.7
60.5
64.2
68.2
47.8
17.2
73.8
93.5
92.2
87.9
65.4
70.4
68.4
66.4
79.1
78.3
37.7
24.3
41.5
29.2
42.7
19.3
37.7
34.2
30.0
51.3
80.0
23.0
4.2
4.9
10.2
33.2
27.2
28.8
31.9
18.3
18.5
.2
.6
.3
.7
1.0
1.3
.9
1.0
.5
1.2
1.1
.9
.8
.4
.1
.5
.8
.4
1.1
.5
.4
.4
.2
1.7
2.3
1.6
.7
.9
.8
.2
1.1
1.2
1.5
1.1
1.1
1.2
1.1
1.5
1.8
1.9
.9
1.1
1.7
1.6
1.6
1.0
1.4
1.2
1.2
1.2
1.5
1.3
.5
2.3
3.0
.6
.6
.3
.7
1.5
2.0
1.5
1.6
2.0
See footnotes at end of table.
202
Table 44.— City Arrests, Distribution by Race, 1990— Continued
OfTense charged
Arrests 18 and over
Total
White
Black
American
Indian
or
Alaskan
Native
Pacific
Islander
Percent distribution'
Total
White
Black
American
Indian
Alaskan
Native
Pacific
Islander
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime^
Properly crime'
Crime Index total*
Other assaults
Forgery and counterfeiting
Fraud
Embezzlement
Stolen property; buying, receiving,
possessing
Vandalism
Weapons; carrying, possessing, etc. ...
Prostitution and commercialized vice .
Sex offenses (except forcible rape and
prostitution)
Drug abuse violations
Gambling
Offenses against family and children .
Driving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic)
Suspicion
Curfew and loitering law violations ...
Runaways
7,235,987
11,922
19,633
90,517
249,889
172,169
729,980
74,753
5,757
371,961
982,659
1,354,620
533,237
50,525
162,394
8,030
77,658
121,698
115,090
82,805
53,001
635,556
11,932
34,597
862,171
342,578
572,126
424,750
26,917
1,752,774
13,528
4,755,738
2,345,168
79,719
55,362
100.0
65.7
32.4
4,401
9,818
33.399
142,105
104,538
464,682
42,035
3.772
7,332
9,475
56,213
103,739
65,342
249,867
31,504
1,906
81
140
319
2,110
1,199
7,880
388
40
108
200
586
1,935
1,090
7,551
826
39
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
36.9
50.0
36.9
56.9
60.7
63.7
56.2
65.5
61.5
48.3
62.1
41.5
38.0
34.2
42.1
33.1
189,723
615,027
176.759
348,619
2,650
9,507
2,829
9,506
100.0
100.0
51.0
62.6
47.5
35.5
804,750
525,378
12,157
12,335
100.0
59.4
38.8
327,774
30,715
103,294
5,204
41,727
84,404
62,321
48,376
40,851
355,504
5,227
22,375
757,106
290,417
441.535
270,583
14,567
1,044.575
4.433
195,620
19,162
57,824
2,700
35,058
35,111
50,955
33,365
11,075
275,398
6,022
10,169
88,362
40,591
116,506
146,986
11,699
674,146
9,041
6,529
260
558
41
358
1,258
552
404
545
1,850
16
508
9,617
9,584
12,720
5,410
578
16,749
25
3,314
388
718
85
515
925
1,262
660
530
2,804
667
1,545
7,086
1,986
1,365
1,771
73
17,304
29
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
61.5
60.8
63.6
64.8
53.7
69.4
54.1
58.4
77.1
55.9
43.8
64.7
87.8
84.8
77.2
63.7
54.1
59.6
32.8
36.7
37.9
35.6
33.6
45.1
28.9
44.3
40.3
20.9
43.3
50.5
29.4
10.2
11.8
20.4
34.6
43.5
38.5
66.8
.7
.7
.4
.8
.7
I.I
.5
.7
.7
1.0
1.2
.5
.3
.5
.5
1.0
.5
1.0
.3
.1
1.5
1.1
2.8
2.2
1.3
2.1
1.0
.2
.9
I.O
.6
.8
.6
1.0
I.I
.7
.8
1.0
.4
I.I
.7
.8
I.I
1.0
.4
5.6
4.5
.8
.6
.2
.4
.3
1.0
.2
'Because of rounding, the percentages may not add to total.
'Violent crimes arc offenses of murder, forcible rape, robbery, and aggravated assault.
'Property crimes arc offenses of burglary, larceny-theft, motor vehicle theft, and arson.
^Includes arson.
203
Table 45.— Suburban Ccuty Arrest Tre-jds, 1989-1990
[762 agencies; 1990 population 32,247,000)
Number of persons
arrested
Offense charged
Total all ages
Under
18 years of age {
18 years of age and
over
1989
1990
Percent
change
1989
1990
Percent
change
1989
1990
Percent
change
TOTAL
U77,403
1,426,685
+3.6
164,890
172,121
+4.4
1,212,513
1,254.564
+3S
1,962
3,911
9,290
41,943
45,268
112,002
21,650
2,120
2,245
4,241
9,779
46,753
42,714
115,363
20,974
2,264
+ 14.4
+8.4
+5.3
+ 11.5
-5.6
+3.0
-3.1
+6.8
160
605
1,637
4,720
15,198
30,138
7,823
908
205
619
1,924
5,638
14,668
31,675
8,257
963
+28.1
+2.3
+17.5
+ 19.4
-3.5
+5.1
+5.5
+6.1
1,802
3,306
7,653
37,223
30,070
81,864
13,827
1,212
2,040
3,622
7,855
41,115
28,046
83,688
12,717
1,301
+ 13.2
+9.6
Robbery
+2.6
+10.5
-6.7
+2.2
-8.0
+7.3
57,106
181,040
63,018
181,315
+ 10.4
+.2
7,122
54,067
8,386
55,563
+ 17.7
+2.8
49,984
126,973
54,632
125,752
+9.3
Prooertv crime^
-1.0
238,146
244,333
+2.6
61.189
63,949
+4.5
176,957
180,384
+1.9
84,847
10,226
54,045
1,847
16,267
26,692
20,456
3,927
11,696
128,008
1,793
15,753
288,609
49,928
63,939
34,083
1,549
307,881
488
1,515
16,196
95,344
9,979
55,880
1,753
15,721
28,115
20,506
4,328
12,054
107,709
1,797
19,570
311,447
57,332
70,617
35,596
1,560
314,312
614
1,733
16,999
+ 12.4
-2.4
+3.4
-5.1
-3.4
+5.3
+.2
+ 10.2
+3.1
-15.9
+.2
+24.2
+7.9
+ 14.8
+ 10.4
+4.4
+.7
+2.1
+25.8
+ 14.4
+5.0
10,536
540
697
114
3,363
11,077
2,791
67
2,021
8,279
56
197
2,566
11,976
1,553
5,511
312
24,334
58
1,515
16,196
11,763
649
671
110
3,596
11,465
2,848
101
2,047
6,100
54
244
2,684
13,429
1,667
6,202
301
25,509
78
1,733
16,999
+ 11.6
+20.2
-3.7
-3.5
+6.9
+3.5
+2.0
+50.7
+ 1.3
-26.3
-3.6
+23.9
+4.6
+ 12.1
+7.3
+ 12.5
-3.5
+4.8
+34.5
+ 14.4
+5.0
74,311
9,686
53,348
1,733
12,904
15,615
17,665
3,860
9,675
119,729
1,737
15,556
286,043
37,952
62,386
28,572
1,237
283,547
430
83,581
9,330
55,209
1,643
12,125
16,650
17,658
4,227
10,007
101,609
1,743
19,326
308,763
43,903
68,950
29,394
1,259
288,803
536
+12.5
-3.7
+3.5
-5.2
-6.0
+6.6
(4)
+9.5
+3.4
-15.1
+.3
+24.2
+7.9
+ 15.7
+ 10.5
+2.9
+1.8
+1.9
+24.7
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
'Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
Mncludes arson.
*Less than one-tenth of I percent.
204
Table 46.— Suburban County Arrest Trends, Sex, 1989-1990
[762 agencies; 1990 population 32,247,000)
OfTense charged
Males
Total
1989
1990
Percent
change
Under 18
1989
1990
Percent
change
Females
Total
1989
1990
Percent
change
Under 18
1989
1990
Percent
change
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Ar^on
Violent crime'
Property crime^
Crime Index total'
Other assaults
Forgery and counterfeiting
Fraud
Embezzlement
Stolen property; buying, receiving,
possessing
Vandalism
Weapons; carrying, possessing, etc.
PitKtitution and commercialized vice
Sex oflenses (except forcible rape and
prostitution)
Drag abuse violations
Gambling
Oftenses against family and children
Driving under the influence
Liquor laws
Drankenness
Disorderly conduct
Vagrancy
All other offenses (except traffic)
Suspicion (not included in totals)
Curfew and loitering law violations . .
Runaways
I,137,82S
1,708
3,861
8,536
37,210
41,497
78212
19,426
1,858
51,315
140,993
192,308
71,305
6,816
27,085
1,068
14,418
23,983
19,001
1,414
11,073
105,561
1,432
14,372
256,166
39,967
57,473
28,011
1,244
256,495
406
1,097
7,536
1,177,633
+3.5
128,902
133,984
+3.9
239,578
249,052
+4.0
35,988
38,137
1,997
4,194
8,986
41,309
39,325
79,327
18,789
2,033
+ 16.9
+8.6
+5.3
+ 11.0
-5.2
+ 1.4
-3.3
+9.4
147
592
1,499
4,128
14,011
22,623
6,963
820
193
598
1,778
4,867
13,616
23,521
7,244
887
+31.3
+ 1.0
+ 18.6
+ 17.9
-2.8
+4.0
+4.0
+8.2
254
50
754
4,733
3,771
33,790
2,224
262
248
47
793
5,444
3,389
36,036
2,185
231
-2.4
-6.0
+5.2
+15.0
-10.1
+6.6
-1.8
-11.8
13
13
138
592
1,187
7,515
860
12
21
146
771
1,052
8,154
1,013
76
56,486
139,474
+ 10.1
-1.1
6,366
44,417
7,436
45,268
+ 16.8
+ 1.9
5,791
40,047
6,532
41,841
+ 12.8
+4.5
756
9,650
950
10,295
195,960
+1.9
50,783
52,704
+3.8
45,838
48,373
+5.5
10,406
11,245
79,574
6,464
27,720
1,115
13,928
25,224
19,012
1,862
11,431
88,859
1,460
1 7,864
275,242
46.538
63,371
29,055
1,333
262,313
513
1,274
8,034
+ 11.6
-5.2
+2.3
+4.4
-3.4
+5.2
+.1
+31.7
+3.2
-15.8
+2.0
+24.3
+7.4
+ 16.4
+ 10.3
+3.7
+7.2
+2.3
+26.4
+ 16.1
+6.6
8,246
392
444
69
3,054
10,214
2,649
19
1,887
7,080
47
146
2,223
8,411
1,291
4,293
265
18,756
40
1,097
7,536
9,151
412
454
77
3,239
10,549
2,695
52
1,897
5,269
43
180
2,327
9,558
1.398
4,790
244
19,637
66
1,274
8,034
+ 11.0
+5.1
+2.3
+ 11.6
+6.1
+3.3
+ 1.7
+ 173.7
+.5
-25.6
-8.5
+23.3
+4.7
+ 13.6
+8.3
+ 11.6
-7.9
+4.7
+65.0
+ 16.1
+6.6
13,542
3,410
26,960
779
1,849
2,709
1,455
2,513
623
22,447
361
1,381
32,443
9,961
6,466
6,072
305
51,386
82
418
8,660
15,770
3,515
28,160
638
1,793
2,891
1,494
2,466
623
18,850
337
1,706
36,205
10,794
7,246
6,541
227
51,999
101
459
8,965
+ 16.5
+3.1
+4.5
-18.1
-3.0
+6.7
+2.7
-1.9
-16.0
-6.6
+23.5
+ 11.6
+8.4
+ 12.1
+7.7
-25.6
+ 1.2
+23.2
+9.8
+3.5
2,290
148
253
45
309
863
142
48
134
1,199
9
51
343
3,565
262
1,218
47
5,578
18
418
8.660
2,612
237
217
33
357
916
153
49
150
831
11
64
357
3,871
269
1,412
57
5,872
12
459
8,965
+6.0
-7.7
+61.5
+5.8
+30.2
-11.4
+8.5
+ 17.8
-13.6
+25.7
+6.7
+8.1
+ 14.1
+60.1
-14.2
-26.7
+ 15.5
+6.1
+7.7
+2.1
+ 11.9
-30.7
+22.2
+25.5
+4.1
+8.6
+2.7
+15.9
+21.3
+5.3
-33.3
+9.8
+3.5
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault,
^Property crimes arc offenses of burglary, larceny-theft, motor vehicle theft, and arson.
'Includes arson.
205
Table 47. — Suburban County Arrests, Distribution by Age, 1990
(926 agencies; 1990 population 37,953,000)
OfTense charged
Total
all
ages
Ages
under
15
Ages
under
18
Ages
18 and
over
Age
Under
10
10-12
13-14
15
16
17
18
19
20
TOTAL
Percent distribution'
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime'
Percent distribution'
Property crime^
Percent distribution'
Crime Index total'
Percent distribution'
Other assaults
Forgery and counterfeiting
Fraud
Embezzlement
Stolen property: buying, receiving,
possessing
Vandalism
Weapons; carrying, possessing, etc
Prostitution and commercialized vice .
Sex ofTenses (except forcible rape and
prostitution)
Drug abuse violations
Gambling
Offenses against family and children ..
Driving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic)
Suspicion
Curfew and loitering law violations ...
Runaways
l,«77>t«
100.0
2,692
5,006
13,365
58,501
53,241
139,481
24.877
2,543
79,564
100.0
220,142
100.0
299,706
100.0
107,313
11,280
60,952
2,353
17,943
30,752
23,492
6,683
14,133
127,690
2,107
20,485
335,284
61,740
73,238
37,082
1,567
423,244
670
1,773
18,454
61,369
3.7
197,257
11.8
1,480,689
88.2
4,200
J
13,936
43,233
2.6
36,012
2.1
45,289
2.7
54387
3J
71,867
4J
78,644
4.7
30
267
569
2,118
6,641
14,401
2,570
699
276
737
2,571
7,043
17,744
36,779
9,619
1,057
2,416
4,269
10,794
51,458
35,497
102,702
15,258
1,486
10
176
494
907
26
168
3
64
99
556
1,699
3,820
265
233
25
195
460
1,386
4,448
9,674
2,279
298
41
127
490
1,236
3,303
6,568
2,219
121
68
158
691
1,649
3,614
7,511
2,529
104
137
185
821
2,040
4,186
8,299
2,301
133
150
239
1,000
2,242
4,361
8.298
1,956
100
138
216
977
2,356
3,750
7,277
1,698
76
2,984
3.8
24,311
11.0
10,627
13.4
65,199
29.6
68,937
86.6
154,943
70.4
196
.2
1,595
.7
722
.9
6,017
2.7
2,066
2.6
16,699
7.6
1,894
2.4
12,211
5.5
2,566
3.2
13,758
6.2
3,183
4.0
14,919
6.8
3,631
4.6
14,715
6.7
3,687
4.6
12,801
5.8
27,295
9.1
75,826
25.3
223,880
74.7
1,791
.6
6,739
2.2
18,765
6.3
14,105
4.7
16,324
5.4
18,102
6.0
18,346
6.1
16,488
5.5
4,966
84
103
29
934
5,521
825
10
1,183
828
9
55
52
944
208
2,128
55
8,172
33
532
7,403
13,420
699
778
155
3,948
12,549
3,188
113
2,310
7,194
60
265
2,835
14,190
1,716
6,492
302
30,890
95
1,778
18,454
93,893
10,581
60,174
2,198
13,995
18,203
20,304
6,570
11,823
120,496
2,047
20,220
332,449
47,550
71,522
30,590
1,265
392,354
575
437
5
12
1
23
787
39
110
33
15
10
32
17
195
4
520
3
9
157
1,275
15
12
144
1,608
162
1
309
92
1
12
6
62
22
538
7
1,641
11
87
1,184
3,254
64
79
20
767
3,126
624
764
703
8
28
36
850
169
1,395
44
6,011
19
436
6,062
2,302
108
92
12
793
2,086
591
26
429
1,142
8
44
91
1,775
235
1,172
49
5,685
7
341
4,919
2,935
167
167
35
1,052
2,381
761
29
329
1,942
10
73
650
4,094
391
1,434
77
7,561
25
533
4,319
3,217
340
416
79
1,169
2.561
1,011
48
369
3,282
33
93
2,042
7,377
882
1,758
121
9,472
30
372
1,813
3,681
517
1,061
105
1,387
2,246
1,441
121
437
5,208
66
288
6,552
10,581
2,419
1,916
131
15,319
45
3,825
662
1,794
117
1,330
1.771
1,380
208
408
6,245
41
328
8,796
10,804
2,531
1,973
90
19,824
29
75,443
4S
130
181
796
2.291
2,887
6,024
1,245
69
3,398
4.3
10,225
4.6
13,623
4.5
3,914
646
2,353
132
1,048
1,344
1,211
205
419
6,368
30
434
10,455
8,368
2,703
1,847
67
20,251
25
See footnotes at end of table.
206
Table 47. — Suburban County Arrests, Distributioa by Age, 1990 — Continued
OtTense charged
Age
21 22
23
24 25-29 30-34
35-39 40-44
45-49
50-54
55-59
60-64
65 and
over
TOTAL
Percenl lUslribiitioni
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime^
Percent distribution'
Property crime^
Percent distribution'
Crime Index total'
Percent distribution'
Other assaults
Forgery and counterfeiting
Fraud
Embezzlement
Stolen property; buying, receiving,
possessing
Vandalism
Weapons, carrying, possessing, etc. ...
Prostitution and commercialized vice
Sei ofTenses (except forcible rape and
prostitution)
Drug abuse violations
Gambling
Offenses against family and children .
Driving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic) ....
Suspicion
Curfew and loitering law violations . . .
Runaways
70,321
4.2
141
210
793
2,264
2,206
4,922
1,065
83
3,408
4.3
8,276
3.8
11,684
3.9
3,934
534
2,514
103
822
1,132
1.134
247
375
6,138
27
617
13,852
2,048
3,232
1,743
80
20,080
25
67,277
4.0
66,889
4.0
66,941
4.0
324,847
19.4
258.584
15.4
170,145
10.1
100,906
6.0
S7,011
3.4
31,238
1.9
18339
1.1
1M92
.7
123
193
644
2,215
1,902
4,515
870
71
126
180
621
2.194
1,821
4,225
793
61
107
194
614
2,194
1.642
3,918
765
60
455
886
2,371
11,356
6,993
19,764
2,931
304
y.6
735
1,557
9,596
4,937
16,026
1,776
241
263
511
798
6,207
2.689
11,433
1,045
170
185
313
339
3,605
1,235
6,653
602
III
100
162
155
2,143
558
3,641
274
64
55
97
78
1,236
244
2,129
117
32
43
81
29
692
142
1,480
57
22
23
33
11
445
73
1,063
30
15
3,175
4.0
7,358
3.3
3,121
3.9
6,900
3.1
3,109
3.9
6,385
2.9
15,068
18.9
29,992
13.6
12,234
15.4
22,980
10.4
7,779
9.8
15,337
7.0
4,442
5.6
8.601
3.9
2,560
3.2
4,537
2.1
1,466
1.8
2,522
1.1
845
1.1
1,701
512
.6
1,181
.5
10,533
3.5
10,021
3.3
9,494
3.2
45,060
15.0
35,214
11.7
23,116
7.7
13,043
4.4
7,097
2.4
3,988
1.3
2,546
1,693
.6
4,008
466
2,655
92
726
917
1,010
255
407
5,931
27
656
14,099
1,518
2,985
1,524
55
19,390
23
4,100
544
2,794
90
700
829
1,018
289
370
5,901
36
739
14,704
1,244
3,028
1,479
55
18,918
30
4,521
436
2,916
93
665
796
932
307
421
6,065
46
880
14,858
1,032
2,957
1,422
51
19,024
25
21,667
2,367
13,764
486
2,748
3,551
4,038
1,842
2,173
29,735
189
4,497
75,763
4,454
14,979
6,412
242
90.759
121
17,614
1,850
11,614
379
1,972
2,459
3,023
1,395
1,998
22,987
259
4,546
61,847
2,910
12,983
4,815
190
70,426
103
11.488
1,265
8,328
228
1,279
1,403
2.028
802
1,595
13,830
236
3,387
42,358
1,887
9,070
3,132
118
44,529
66
6.759
671
5,096
183
637
833
1,245
397
1,119
6,838
250
2,000
27,797
1,104
5,885
1,808
63
25,140
38
3,715
314
2,623
85
349
387
764
224
686
2,873
241
1,045
17,330
704
3,669
1,155
52
13,674
24
2,079
146
1,301
49
151
211
432
112
481
1,248
203
451
10,406
375
2,100
559
16
6,917
13
1,175
101
686
19
79
144
301
67
361
566
171
195
6,263
231
1.348
323
18
3.743
2
717
29
387
16
57
94
189
251
324
123
88
3,978
139
877
221
17
2.149
2
10,845
.6
31
38
II
422
57
1,334
34
7
502
.6
1,432
.7
1,934
.6
696
33
288
21
45
86
158
58
322
239
102
69
3,391
151
756
261
20
2,211
4
'Because of rounding, the percentages may not add to total.
Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
'Properly cnmes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
'Includes arson.
207
Table 48.— Suburban County Arrests of Persons under 15, 18, 21, and 25 Years of Age, 1990
[926 agencies; 1990 population 37,953,000]
Offense charged
Total all
ages
Number of persons arrested
Under 15 Under 18 Under 21
Under 25
Percent of total all ages
Under
15
Under
18
Under
21
Under
25
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime'
Property crime^
Crime Index totaJ'
Other assaults
Forgery and counterfeiting
Fraud
Embezzlement
Stolen property; buying, receiving, possessing
Vandalism
Weapons; carrying, possessing, etc
Prostitution and commercialized vice
Sex offenses (except forcible rape and prostitution)
Drug abuse violations
Gambling
Offenses against family and children
Driving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic)
Suspicion
Curfew and loitering law violations
Runaways ;
1,677,946
2,692
5,006
13,365
58,501
53,241
139,481
24,877
2,543
79,564
220,142
299,706
107,313
11,280
60,952
2,353
17,943
30,752
23,492
6,683
14,133
127,690
2,107
20,485
335,284
61,740
73,238
37,082
1,567
423,244
670
1,778
18,454
61369
197,257
423,211
694,639
3.7
11.8
30
267
569
2,118
6,641
14,401
2,570
699
276
737
2,571
7,043
17,744
36,779
9,619
1,057
694
1,373
5,344
13,932
28,742
58,378
14,518
1,302
1,191
2,150
8,016
22,799
36,313
75,958
18,011
1,577
1.1
5.3
4.3
3.6
12.5
10.3
10.3
27.5
10.3
14.7
19.2
12.0
33.3
26.4
38.7
41.6
2,984
24,311
10,627
65,199
21,343
102,940
34,156
131,859
3.8
11.0
13.4
29.6
27,295
75,826
124,283
166,015
9.1
25.3
4,966
84
103
29
934
5,521
825
10
1,183
828
9
55
52
944
208
2,128
55
8,172
33
532
7,403
13,420
699
778
155
3,948
12,549
3,188
113
2,310
7,194
60
265
2,835
14,190
1,716
6,492
302
30,890
95
1,778
18,454
24,840
2,524
5,986
509
7,713
17,910
7,220
647
3,574
25,015
197
1,315
28,638
43,943
9,369
12,228
590
86,284
194
1,778
18,454
41,403
4,504
16,865
887
10,626
21,584
11,314
1,745
5,147
49,050
333
4,207
86,151
49,785
21,571
18,396
831
163,696
297
1,778
18,454
4.6
.7
.2
1.2
5.2
18.0
3.5
.1
8.4
.6
.4
.3
(4)
1.5
.3
5.7
3.5
1.9
4.9
29.9
40.1
12.5
6.2
1.3
6.6
22.0
40.8
13.6
1.7
16.3
5.6
2.8
1.3
23.0
2.3
17.5
19.3
7.3
14.2
100.0
100.0
25.2
25.8
27.4
40.0
23.8
54.0
41.9
58.4
51.2
26.8
46.8
41.5
23.1
22.4
9.8
21.6
43.0
58.2
30.7
9.7
25.3
19.6
9.3
6.4
8.5
71.2
12.8
33.0
37.7
20.4
29.0
100.0
100.0
41.4
44.2
42.9
60.0
39.0
68.2
54.5
72.4
62.0
42.9
59.9
55.4
38.6
39.9
27.7
37.7
59.2
70.2
48.2
26.1
36.4
38.4
15.8
20.5
25.7
80.6
29.5
49.6
53.0
38.7
44.3
100.0
100.0
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
'Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson,
includes arson.
'Less than one>tenth of 1 percent.
208
Table 49.— Suburbui Comity Arrests, Distribotioii by Sex, 1990
(926 agencies; 1990 population 37,953,000]
Oflense charged
Number of persons arrested
Total
Male
Female
Percent
male
Percent
female
Percent distribution'
Total
Male
Female
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime'
Property crime*
Crime Index total'
Other assaults
Forgery and counterfeiting
Fraud
Embezzlement
Stolen property, buying, receiving, possessing
Vandalism
Weapons; carrying, possessing, etc
Prostitution and commercialized vice
Sex offenses (except forcible rape and prostitution)
Drug abuse violations
Gambling
Offenses against family and children
Driving luder the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except trafTic)
Suspicion
Curfew and loitering law violations
Runaways
1,677,9*)
2,692
5.006
13,365
58,501
53,241
139,481
24,877
2.543
79,564
220,142
299,706
107,313
11,280
60.952
2,353
17,943
30,752
23,492
6,683
14,133
127,690
2,107
20,485
335,284
61,740
73,238
37,082
1,567
423,244
670
1,778
18,454
1387,634
290312
82.7
17J
100.0
2,405
4,949
12,351
51,359
49,158
96,456
22,343
2,271
287
57
1,014
7,142
4,083
43,025
2,534
272
89.3
98.9
92.4
87.8
92.3
69.2
89.8
89.3
10.7
1.1
7.6
12.2
7.7
30.8
10.2
10.7
.2
.3
.8
3.5
3.2
8.3
1.5
.2
71,064
170,228
8,500
49,914
89.3
77.3
10.7
22.7
4.7
13.1
241,292
58,414
80.5
19.5
17.9
89,993
7,462
30,815
1,492
15,855
27,575
21,750
3,263
13,335
105,463
1,713
18,701
295,792
50,136
65,717
30,298
1,338
354,982
562
1,306
8,794
17,320
3,818
30,137
861
2,088
3,177
1,742
3,420
798
22,227
394
1,784
39,492
11,604
7,521
6,784
229
68,262
108
472
9,660
83.9
66.2
50.6
63.4
88.4
89.7
92.6
48.8
94.4
82.6
81.3
91.3
88.2
81.2
89.7
81.7
85.4
83.9
83.9
73.5
47.7
16.1
33.8
49.4
36.6
11.6
10.3
7.4
51.2
5.6
17.4
18.7
8.7
11.8
18.8
10.3
18.3
14.6
16.1
16.1
26.5
52.3
6.4
.7
3.6
.1
1.1
1.8
1.4
.4
.8
7.6
.1
1.2
20.0
3.7
4.4
2.2
.1
25.2
(2)
.1
1.1
100.0
.2
.4
.9
3.7
3.5
7.0
1.6
.2
5.1
12.3
17.4
6.5
.5
2.2
.1
1.1
2.0
1.6
.2
1.0
7.6
.1
1.3
21.3
3.6
4.7
2.2
.1
25.6
(2)
.1
.6
100.0
(2)
.3
2.5
1.4
14.8
.9
.1
2.9
17.2
20.1
6.0
1.3
10.4
.3
.7
1.1
.6
1.2
.3
7.7
.1
.6
13.6
4.0
2.6
2.3
.1
23.5
(2)
.2
3.3
'Because of rounding, the percentages may not add to total.
Hjcss than one-tenth of I percent.
'Violent cnmes are ofTenses of murder, forcible rape, robbery, and aggravated assault.
•Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
Includes arson.
209
Table 50. — Suburban County Arrests, Distribution by Race, 1990
[878 agencies; 1990 population 37,704,000]
Offense charged
Total arrests
Total
White
Black
American
Indian
Alaskan
Native
Asian
or
Pacific
Islander
Percent distribution'
Total
White
Black
American
Indian
Alaskan
Native
Asian
Pacific
Islander
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime'
Property crime'
Crime Index total'
Other assaults
Forgery and counterfeiting
Fraud
Embezzlement
Stolen property; buying, receiving,
possessing
Vandalism
Weapons; carrying, possessing, etc. ...
Prostitution and commercialized vice .
Sex offenses (except forcible rape and
prostitution)
Drug abuse violations
Gambling
Offenses against family and children .
Driving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic)
Suspicion
Curfew and loitering law violations ...
Runaways
1,628,760
2,647
4,928
13,235
57,026
51,813
133,555
24,658
2,482
77,836
212,508
290,344
105,032
10,447
57,236
2,253
16,781
29,162
22,726
6,669
13,499
122,389
2,033
19,994
324,734
60,140
73.000
35,805
1,545
414,810
669
1,773
17,719
1,255,745
359,518
6,755
6,742
100.0
77.1
22.1
1,726
3,474
5,969
40,807
40,066
93,435
16,894
2,049
883
1,410
7,159
15,670
11,316
38,537
7,524
408
14
22
47
322
190
555
106
12
24
22
60
227
241
1,028
134
13
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
65.2
70.5
45.1
71.6
77.3
70.0
68.5
82.6
33.4
28.6
54.1
27.5
21.8
28.9
30.5
16.4
51,976
152,444
25,122
57,785
405
863
333
1,416
100.0
100.0
66.8
71.7
32.3
27.2
204,420
82,907
1,268
1,749
100.0
70.4
28.6
78,976
7,532
39,055
1,451
11,694
24,893
16,026
4,995
11,752
84,481
1,482
12,636
300,672
53,804
64,151
28,378
1,216
290,228
582
1,582
15,739
25,074
2,824
17,928
777
4,930
4,044
6,501
1,603
1,631
37,348
538
7,261
21,146
5,758
8,020
7,050
315
121,822
85
167
1,789
531
49
139
2
74
100
73
32
67
292
1
61
1,112
404
571
266
6
1,591
I
5
110
451
100.0
42
100.0
114
100.0
23
100.0
83
100.0
125
100.0
126
100.0
39
49
268
12
36
1,804
174
258
111
8
1,169
1
19
81
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
75.2
72.1
68.2
64.4
69.7
85.4
70.5
74.9
87.1
69.0
72.9
63.2
92.6
89.5
87.9
79.3
78.7
70.0
87.0
89.2
88.8
23.9
27.0
31.3
34.5
29.4
13.9
28.6
24.0
12.1
30.5
26.5
36.3
6.5
9.6
11.0
19.7
20.4
29.4
12.7
9.4
10.1
.5
.2
(5)
.3
.3
.7
.8
.7
.4
.4
.1
.3
.6
.4
.4
.2
I.O
.5
.4
.6
.4
.2
.6
.2
.6
.3
.4
.3
.5
.3
.1
I.I
.5
See footnotes at end of table.
210
Table SO.— Suburban County Arrests, Distribution by Race, 1990 — Continued
Offense charged
Arrests under 18
Total
White
Black
American
Indian
or
Alaskan
Native
Asian
or
Pacific
Islander
Percent distribution'
Total
White
Black
American
Indian
or
Alaskan
Native
Asian
Pacific
Islander
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime^
Property crime'
Crime Index total*
Other assaults
Forgery and counterfeiting
Fraud
Embezzlement
Stolen property; buying, receiving,
possessing
Vandalism
Weapons; carrying, possessing, etc. ...
Prostitution and commercialized vice .
Sex offenses (except forcible rape and
prostitution)
Drug abuse violations
Gambling
Offenses against family and children .
Driving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic)
Suspicion
Curfew and loitering law violations ...
Runaways
189,800
272
731
2,549
6,775
17,101
34,846
9,525
1,029
10,327
62,501
72,828
13,147
652
706
146
3,614
11,962
3,110
113
2,159
6,917
60
218
2,770
13,793
1,704
6,212
302
29,801
94
1,773
17,719
148,443
39,132
848
M77
100.0
78.2
20.6
142
517
1,006
4,296
14,007
26,030
6.480
889
126
210
1,519
2,382
2,894
8,214
2,925
125
I
2
12
38
65
163
48
5
5,961
47,406
4,237
14,158
53
281
3
100.0
2
100.0
12
100.0
59
100.0
135
100.0
439
100.0
72
100.0
10
100.0
76
100.0
656
100.0
52.2
70.7
39.5
63.4
81.9
74.7
68.0
86.4
46.3
28.7
59.6
35.2
16.9
23.6
30.7
12.1
57.7
75.8
41.0
22.7
53,367
18,395
334
732
100.0
73.3
25.3
9,345
527
536
82
2,390
10,514
2,187
91
1,778
4,291
30
185
2,677
13,291
1,548
4,704
251
23,249
79
1,582
15,739
3,662
117
164
63
1,167
1,340
876
20
362
2,597
30
31
80
374
135
1,442
45
6,261
15
167
1,789
47
2
1
93
6
5
1
38
69
28
2
7
89
14
42
2
84
39
7
24
4
207
5
110
19
81
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
71.1
80.8
75.9
56.2
66.1
87.9
70.3
80.5
82.4
62.0
50.0
84.9
96.6
96.4
90.8
75.7
83.1
78.0
84.0
89.2
88.8
27.9
17.9
23.2
43.2
32.3
11.2
28.2
17.7
16.8
37.5
50.0
14.2
2.9
2.7
7.9
23.2
14.9
21.0
16.0
9.4
10.1
.5
.3
.6
1.8
.6
.3
1.1
.3
.5
.9
.8
1.3
.8
1.0
.7
1.0
1.0
.7
.9
.7
.7
I.I
.6
.9
.3
.4
.4
1.3
.7
I.l
.5
See footnotes al end of table.
211
Table 50. — Suburban County Arrests, Distribution by Race, 1990 — Continued
OfTense charged
Arrests 18 and over
Tola]
White
Black
American
Indian
or
Alaskan
Native
Asian
Pacific
Islander
Percent distribution'
Total
White
Black
American
Indian
or
Alaskan
Native
Asian
or
Paciflc
Islander
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime^ .
Property crime'
Crime Index total*
Other assaults
Forgery and counterfeiting
Fraud
Embezzlement
Stolen property; buying, receiving,
possessing
Vandalism
Weapons; carrying, possessing, etc.
Prostitution and commercialized vice .
Sex ofTenses (except forcible rape and
prostitution)
Drug abuse violations
Gambling
Oftenses against family and children .
Driving under the influence
Liquor laws
Drunkenness
Disorderiy conduct
Vagrancy
All other offenses (except traffic) ..
Suspicion
Curfew and loitering law violations
Runaways
1,438,960
2,375
4,197
10,686
50,251
34,712
98,709
15,133
1,453
67,509
150,007
217,516
91,885
9,795
56,530
2,107
13,167
17,200
19,616
6,556
11,340
115,472
1,973
19,776
321,964
46,347
71,296
29,593
1,243
385,009
575
,107,302
320386
5,907
5J6S
100.0
77.0
22J
1,584
2,957
4,963
36,511
26,059
67,405
10,414
1,160
757
1,200
5,640
13,288
8,422
30,323
4,599
283
13
20
35
284
125
392
58
7
46,015
105,038
20,885
43,627
352
582
21
100.0
20
100.0
48
100.0
168
100.0
106
100.0
589
100.0
62
100.0
3
100.0
257
100.0
760
100.0
66.7
70.5
46.4
72.7
75.1
68.3
68.8
79.8
31.9
28.6
52.8
26.4
24.3
30.7
30.4
19.5
68.2
70.0
30.9
29.1
151,053
64,512
934
1,017
100.0
69.4
29.7
69,631
7,005
38,519
1,369
9,304
14,379
13,839
4,904
9,974
80,190
1,452
12,451
297,995
40,513
62,603
23,674
965
266,979
503
21,412
2,707
17,764
714
3,763
2,704
5,625
1,583
1,269
34,751
508
7,230
21,066
5,384
7,885
5,608
270
115,561
70
484
47
138
2
55
61
54
30
55
274
1
59
1,105
315
557
224
4
1,507
I
358
100.0
36
100.0
109
100.0
22
100.0
45
100.0
56
100.0
98
100.0
39
42
257
12
36
1,798
135
251
87
4
962
1
100.0
100.0
100.0
100.0
100.0
100.0
100,0
100.0
100.0
100.0
100.0
100.0
75.8
71.5
68.1
65.0
70.7
83.6
70.5
74.8
88.0
69.4
73.6
63.0
92.6
87.4
87.8
80.0
77.6
69.3
87.5
23.3
27.6
31.4
33.9
28.6
15.7
28.7
24.1
11.2
30.1
25.7
36.6
6.5
11.6
11.1
19.0
21.7
30.0
12.2
.4
.4
.2
1.0
.3
.3
.5
'Because of rounding, the percentages may not add to total.
Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
•Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
'Includes arson.
'Less than one-tenth of 1 percent.
212
T«ble 51.— Rural County Arrest Trends, 1989-1990
[I.8S4 agencies; 1990 population 20,119,000)
Offense charged
Number of persons arrested
Total all ages
1989
1990
Percent
change
Under 1 8 years of age
1989
1990
Percent
change
18 years of age and over
1989
1990
Percent
change
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime'
Property crime'
Crime Index total'
Other assaults
Forgery and counterfeiting
Fraud
Embezzlement
Stolen property;
buying, receiving, possessing ...
Vandalism
Weapons; carrying, possessing, etc
Prostitution and commercialized vice
Sex offenses (except forcible
rape and prostitution)
Drug abuse violations
Gambling
Offenses against family and children
Driving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic)
Suspicion (not included in totals) ..
Curfew and loitering law violations
Runaways
703,170
1,087
2,164
1,785
19,818
27,900
38,849
7,583
1,102
24,854
75,434
100,288
45,056
6,269
39,103
753
5,394
15,611
8,007
140
5,913
50,979
626
6,125
153,581
40,628
42,527
24,654
272
147,743
447
1,140
8,361
742,546
+5.6
73,120
76,5«7
630,050
665,979
1,192
2,297
1,670
22,138
26,639
40,529
7,701
1,346
+9.7
+6.1
-6.4
+ 11.7
-4.5
+4.3
+ 1.6
+22.1
63
263
174
1,337
9,104
9,465
2.828
285
67
288
159
1,584
8,665
9,826
2,939
338
+6.3
+9.5
-8.6
+ 18.5
-4.8
+3.8
+3.9
+ 18.6
1,024
1.901
1,611
18,481
18,796
29,384
4,755
817
1,125
2,009
1,511
20,554
17,974
30,703
4,762
1,008
27,297
76,215
+9.8
+ 1.0
1,837
21,682
2,098
21,768
+14.2
+.4
23,017
53,752
25,199
54,447
103,512
+3.2
23,519
23,866
+ 1.5
76,769
79,646
50,401
5,947
40,485
811
5,625
16,951
8,041
227
6,696
43,233
505
6,622
165,580
46,625
46,453
26,511
326
157,858
630
1,148
8,989
+ 11.9
-5.1
+3.5
+7.7
+4.3
+8.6
+.4
+62.1
+ 13.2
-15.2
-19.3
+8.1
+7.8
+ 14.8
+9.2
+7.5
+ 19.9
+6.8
+40.9
+.7
+7.5
3,471
424
393
17
826
5,640
649
930
2,347
19
136
2,025
10,358
912
2,466
64
9,417
119
1,140
8,361
4,025
424
449
17
903
5,961
667
986
1,903
5
141
2,011
11,409
956
2,484
54
10,161
262
1,148
8,989
+ 16.0
+ 14.2
+9.3
+5.7
+2.8
+33.3
+6.0
-18.9
-73.7
+3.7
-.7
+ 10.1
+4.8
+.7
-15.6
+7.9
+ 120.2
+.7
+7.5
41,585
5,845
38,710
736
4,568
9,971
7,358
134
4,983
48,632
607
5,989
151,556
30,270
41.615
22,188
208
138,326
328
46,376
5,523
40,036
794
4,722
10,990
7,374
219
5,710
41,330
500
6,481
163,569
35,216
45,497
24,027
272
147,697
368
+5.7
+9.9
+5.7
-6.2
+11.2
-4.4
+4.5
+.1
+23.4
+9.5
+1.3
+3.7
+ 11.5
-5.5
+3.4
+7.9
+3.4
+10.2
+.2
+63.4
+ 14.6
-15.0
-17.6
+8.2
+7.9
+ 16.3
+9.3
+8.3
+30.8
+6.8
+12.2
'Violent crimes arc offenses of murder, forcible rape, robbery, and aggravated assault.
'Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
Includes arson.
213
Table 52.— Rural County Arrest Trends, Sex, 1989-1990
[1,854 agencies; 1990 population 20,119,000]
Offense charged
Males
Total
1989
1990
Percent
change
Under 18
1989
1990
Percent
change
Females
Total
1989 1990
Percent
change
Under 18
1989
1990
Percent
change
TOTAL
Murder and nonnegligent
manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime'
Property crime^
Crime Index total'
Other assaults
Forgery and counterfeiting
Fraud
Embezzlement
Stolen property; buying, receiving,
possessing
Vandalism
Weapons; carrying, possessing, etc. ..
Prostitution and commercialized vice
Sex offenses (except forcible rape and
prostitution)
Drug abuse violations
Gambling
Offenses against family and children
Driving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic) ....
Suspicion (not included in totals)
Curfew and loitering law violations ..
Runaways
587,667
933
2,114
1,634
17,516
25,844
30,671
6,737
971
22,197
64,223
86,420
38,342
4,158
20,393
489
4,750
13,971
7,539
59
5,650
42,506
542
5,397
136,851
32,593
38,598
20,503
233
124,000
359
802
3,871
618,706
+5.3
56,945
59,294
115,503
123,840
+7.2
16,175
17,273
1,006
2,260
1,520
19,656
24,547
31,676
6,888
1,177
+7.8
+6.9
-7.0
+ 12.2
-5.0
+3.3
+2.2
+21.2
56
251
158
1,135
8,406
7.687
2,456
257
60
281
150
1,365
8,017
7,981
2,524
308
+7.1
+ 12.0
-5.1
+20.3
-4.6
+3.8
+2.8
+ 19.8
154
50
151
2,302
2,056
8,178
846
131
186
37
150
2.482
2,092
8,853
813
169
+20.8
-26.0
-.7
+7.8
+ 1.8
+8.3
-3.9
+29.0
7
12
16
202
698
1,778
372
28
7
7
9
219
648
1,845
415
30
24,442
64,288
+ 10.1
+.1
1,600
18,806
1,856
18,830
+ 16.0
+.1
2,657
11,211
2,855
11,927
+7.5
+6.4
237
2,876
242
2,938
88,730
+2.7
20,406
20,686
+ 1.4
13,868
14,782
+6.6
3,113
3,180
42,677
3,923
21,022
475
4,962
15,126
7,582
131
6,455
36,171
427
5,790
146,315
37,273
41,940
22,152
276
132,321
524
738
4,220
+ 11.3
-5.7
+3.1
-2.9
+4.5
+8.3
+.6
+ 122.0
+ 14.2
-14.9
-21.2
+7.3
+6.9
+ 14.4
+8.7
+8.0
+ 18.5
+6.7
+46.0
-8.0
+9.0
2,704
303
234
13
742
5,110
626
864
1,949
17
106
1,766
7,275
760
1,929
53
7,409
93
802
3,871
3,124
314
238
9
797
5,427
634
932
1,583
5
113
1,739
7,933
801
1,960
39
7,996
203
738
4,220
+ 15.5
+3.6
+ 1.7
-30.8
+7.4
+6.2
+ 1.3
+7.9
-18.8
-70.6
+6.6
-1.5
+9.0
+5.4
+ 1.6
-26.4
+7.9
+ 118.3
-8.0
+9.0
6,714
2,111
18,710
264
644
1,640
468
81
263
8,473
84
728
16,730
8,035
3,929
4,151
39
23,743
88
338
4,490
7,724
2,024
19,463
336
663
1,825
459
96
241
7,062
78
832
19,265
9,352
4,513
4,359
50
25,537
106
410
4,769
+ 15.0
-4.1
+4.0
+27.3
+3.0
+ 11.3
-1.9
+ 18.5
-8.4
-16.7
-7.1
+ 14.3
+ 15.2
+ 16.4
+ 14.9
+5.0
+28.2
+7.6
+20.5
+21.3
+6.2
767
121
159
4
84
530
23
66
398
2
30
259
3,083
152
537
11
2,008
26
338
4,490
901
110
211
8
106
534
33
54
320
28
272
3,476
155
524
15
2,165
59
410
4,769
+6,8
-41.7
-43.8
+8.4
-7.2
+3.8
+11.6
+7.1
+2.1
+2.2
+2.2
+ 17.5
-9.1
+32.7
+ 100.0
+26.2
+.8
+43.5
-18.2
-19.6
-6.7
+5.0
+ 12.7
+2.0
-2.4
+36.4
+7.8
+ 126.9
+21.3
+6.2
'Violent crimes are ofTenses of murder, forcible rape, robbery, and aggravated assault.
^Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
'Includes arson.
214
Table 53.— Rural County Arrests, Distribution by Age, 1990
(2,154 agencies; 1990 population 23,306,000]
OfTense charged
Total
Ages
Ages
Ages
Age
all
under
under
18 and
Under
10
ages
15
18
over
10-12
13-14
15
16
17
18
19
20
848,248
23,068
85,854
762,394
1,711
5,363
15,994
14.520
20,765
27,501
39,990
43,184
40,459
100.0
2.7
10.1
89.9
.2
.6
1.9
1.7
2.4
3.2
4.7
5.1
4.8
1,457
16
87
1,370
1
15
1 1
22
38
58
2,714
98
328
2,386
21
77
68
79
83
126
2,037
34
192
1,845
7
27
25
56
77
155
135
129
25,894
474
1,884
24,010
27
126
321
278
448
684
980
1,087
1,061
30,465
3,055
9,683
20,782
290
792
1,973
1,620
2,219
2,789
3,268
2,610
2,006
46,056
3,714
10,821
35,235
323
1,001
2,390
1,828
2,410
2,869
3,554
3,106
2,384
8,547
823
3,219
5,328
15
110
698
794
814
788
701
578
437
1,496
186
353
1,143
41
63
82
61
41
65
73
76
61
32,102
622
2,491
29,611
27
155
440
382
605
882
1,302
1,413
1,358
100.0
1.9
7.8
92.2
.1
.5
1.4
1.2
1.9
2.7
4.1
4.4
4.2
86,564
7,778
24,076
62,488
669
1,966
5,143
4,303
5,484
6,511
7,596
6,370
4,888
100.0
9.0
27,8
72.2
.8
2.3
5.9
5.0
6.3
7.5
8.8
7.4
5.6
118,666
8,400
26,567
92,099
696
2,121
5,583
4,685
6,089
7,393
8,898
7,783
6,246
1 00.0
7.1
22.4
77.6
.6
1.8
4.7
3.9
5.1
6.2
7.5
6.6
5.3
58,566
1,433
4,530
54,036
131
398
904
680
1,028
1,389
1,995
2,226
2.200
6,908
61
485
6,423
2
11
48
47
139
238
343
363
422
47,834
113
555
47.279
5
27
81
54
117
271
929
1,524
1,909
988
5
28
960
1
2
2
2
7
14
43
40
25
6,702
212
1,032
5,670
II
22
179
175
282
363
542
524
412
19,131
2,759
6,575
12,556
387
886
1,486
957
1,325
1.534
1,420
1,237
956
9,035
199
747
8,288
7
53
139
131
163
254
381
364
365
269
7,478
3
469
11
1,057
258
6,421
1
125
2
305
192
6
204
2
192
3
279
11
252
7
39
201
49,124
241
2,148
46,976
11
33
197
323
536
1,048
1,883
2,421
2,511
658
2
7
651
1
1
1
4
6
8
5
8,349
30
148
8,201
3
9
18
18
38
62
260
228
270
180,215
44
2,181
178,034
10
9
25
99
529
1.509
3,719
4,943
5,728
51,921
1,023
12,734
39,187
16
99
908
1,696
3,719
6,296
8,777
8,766
6,626
51,975
118
1,041
50,934
14
16
88
130
245
548
1,667
1,853
1,961
30,455
734
2,753
27,702
39
193
502
454
637
928
1,378
1,471
1,426
364
11
56
308
4
7
4
8
33
8
16
27
187,759
2,937
11,899
175,860
237
666
2,034
1,916
3.019
4,027
7,428
9,120
9,134
819
101
268
551
9
33
59
47
76
44
31
34
28
1.284
9,748
417
3,756
1.284
9,748
5
87
75
580
337
3,089
313
2,597
334
2,263
220
1,132
TOTAL
Percent distrlbutioni
Murder and nonnegligent
manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime^
Percent distribution'
Property crime'
Percent distribution'
Crime Index total*
Percent distribution'
Other assaults
Forgery and counterfeiting
Fraud
Embezzlement
Stolen properly; buying, receiving,
possessing
Vandalism
Weapons; carrying, possessing, etc.
Prostitution and commercialized vice
Sex ofTenses (except forcible rape
and prostitution)
Drug abuse violations
Gambling
OfTenses against family and children
Driving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic) ..
Suspicion
Curfew and loitering law violations
Runaways
See footnotes at end of table.
215
Table 53. — Rund County Arrests, Distribution by Age, 1990 — Continued
Offense charged
Age
21 22 23 24 25-29 30-34
35-39
40-44
45-49
50-54
55-59
60-64
65 and
over
TOTAL
Percent dlstributioni
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime'
Percent distribution'
Property crime'
Percent distribution'
Crime Index total*
Percent distribution'
Other assaults
Forgery and counterfeiting
Fraud
Embezzlement
Stolen property; buying, receiving,
possessing
Vandalism
Weapons; carrying, possessing, etc. .
Prostitution and commercialized vice
Sex offenses (except forcible rape
and prostitution)
Drug abuse violations
Gambling
Offenses against family and children
Driving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic)
Suspicion
Curfew and loitering law violations
Runaways
35,186
4.1
55
105
95
986
1,429
1,945
337
44
1,241
3.9
3,755
4.3
4,996
4.2
2,378
393
1,851
40
312
718
396
7
225
2,285
18
405
6,764
1,965
2,122
1,469
15
8,781
46
32,932
3.9
31,690
3.7
32,881
3.9
154,997
18.3
126.105
14.9
87,001
lOJ
56,289
6.6
32,939
3.9
19,734
2.3
12,391
1.5
8,004
.9
52
103
112
986
1,162
1,699
281
45
52
94
105
1,013
996
1,591
238
40
53
81
97
1,000
973
1,508
231
40
247
489
463
5,152
3,667
6,325
1,053
182
196
433
283
4,295
2,267
4,726
637
186
161
272
141
2,816
1,245
3,123
385
164
132
180
63
1,855
586
2,036
203
86
101
115
41
1,111
289
1,231
120
63
46
64
11
689
127
730
68
33
26
40
12
419
68
482
27
23
29
22
261
43
333
15
13
1,253
3.9
3,187
3.7
1,264
3.9
2,865
3.3
1,231
3.8
2,752
3.2
6,351
19.8
11,227
13.0
5,207
16,2
7,816
9.0
3,390
10.6
4,917
5.7
2,230
6.9
2,911
3.4
1,368
4.3
1,703
2.0
810
2.5
958
1.1
497
1.5
600
.7
312
1.0
404
.5
4,440
3.7
4,129
3.5
3,983
3.4
17,578
14.8
13,023
1 1.0
8,307
7.0
5,141
4.3
3,071
2.6
1,768
1.5
1,097
.9
716
.6
2,181
367
2,051
29
315
703
384
II
178
2,308
5
296
6,597
1,296
1,966
1,300
II
8,470
24
2,290
291
2,257
38
274
586
325
10
160
2,126
14
320
6,561
1,031
1,896
1,304
12
8,043
23
2,442
309
2,207
43
239
596
345
10
178
2,247
21
369
7,196
1,012
2,092
1,313
10
8,249
20
11,922
1,496
10,208
161
1,100
2,439
1,704
50
977
11,441
77
1,743
36,474
3,419
9,997
5,853
66
38,183
109
9,748
978
8,564
162
801
1,628
1,320
57
983
9,297
81
1,624
32,949
2,229
8,705
4,526
44
29,284
102
6,720
652
6,551
153
439
974
978
40
870
5,404
97
1,222
23,998
1,419
6,452
2,984
29
19,654
58
4,173
402
4,328
97
307
571
641
15
704
2,793
98
719
16,199
922
4,247
1,875
29
12,992
36
2,396
203
2,338
65
189
300
426
11
407
1,176
67
342
10,312
620
2,848
1,109
15
7,027
17
1,432
96
1,148
34
100
177
277
13
320
515
54
183
6,417
412
2,094
673
15
3,999
7
858
52
686
15
48
108
160
5
258
270
35
98
4,291
302
1,326
389
5
2,382
6
528
34
355
13
31
58
103
185
177
34
59
2,934
188
891
261
2
1,426
5
8,612
1.0
41
41
3
299
46
462
17
14
384
1.2
539
.6
923
.8
547
22
373
2
37
85
119
244
122
31
63
2,952
203
817
371
4
1.688
5
'Because of rounding, the percentages may not add to total.
"Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
'Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
^Includes arson.
216
Table 54.— Rural County Arrests of Persons under 15, 18, 21, and 25 Years of Age, 1990
[2,154 agencies; 1990 population 23,306,000]
OfTense charged
Total all
ages
Number of persons arrested
Under
15
Under
18
Under
21
Under
25
Percent of total all ages
Under
15
Under
18
Under
21
Under
25
TOTAL
Murder and nonnegligcnt manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime'
Property crime^
Crime Index total'
Other assaults
Forgery and counterfeiting
Fraud
Embezzlement
Stolen property; buying, receiving, possessing
Vandalism
Weapons; carrying, possessing, etc
Prostitution and commercialized vice
Sex offenses (except forcible rape
and prostitution)
Drug abuse violations
Gambling
Offenses against family and children
Driving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic)
Suspicion
Curfew and loitering law violations
Runaways
848,248
1,457
2,714
2,037
25,894
30,465
46,056
8,547
1,496
32,102
86,564
118,666
58,566
6,908
47,834
988
6,702
19,131
9,035
269
7,478
49,124
658
8,349
180,215
51,921
51,975
30,455
364
187,759
819
1,284
9,748
23.068
85,854
209,487
342,176
2.7
10.1
16
98
34
474
3,055
3,714
823
186
87
328
192
1.884
9,683
10,821
3,219
353
266
675
611
5,012
17,567
19,865
4,935
563
478
1,058
1,020
8,997
22,127
26,608
6,022
732
1.1
3.6
1.7
1.8
10.0
8.1
9.6
12.4
6.0
12.1
9.4
7.3
31.8
23.5
37.7
23.6
622
7,778
2,491
24,076
6,564
42,930
11,553
55,489
1.9
9.0
7.8
27.8
8,400
26,567
49,494
67,042
7.1
22.4
1,433
61
113
5
212
2.759
199
469
241
2
30
44
1,023
118
734
11
2,937
101
417
3,756
4,530
485
555
28
1,032
6,575
747
II
1.057
2,148
7
148
2,181
12,734
1,041
2,753
56
11.899
268
1,284
9,748
10,951
1,613
4,917
136
2,510
10,188
1,857
32
1,789
8,963
26
906
16,571
36,903
6,522
7,028
107
37,581
361
1,284
9,748
20,242
2,973
13,283
286
3,650
12,791
3,307
70
2,530
17,929
84
2,296
43,689
42,207
14,598
12,414
155
71,124
474
1.284
9,748
2.4
.9
.2
.5
3.2
14.4
2.2
I.I
6.3
.5
.3
.4
(4)
2.0
.2
2.4
3.0
1.6
12.3
32.5
38.5
7.7
7.0
1.2
2.8
15.4
34.4
8.3
4.1
14.1
4.4
1.1
1.8
1.2
24.5
2.0
9.0
15.4
6.3
32.7
100.0
100.0
24.7
18.3
24.9
30.0
19.4
57.7
43.1
57.7
37.6
20.4
49.6
41.7
18.7
23.3
10.3
13.8
37.5
53.3
20.6
11.9
23.9
18.2
4.0
10.9
9.2
71.1
12.5
23.1
29.4
20.0
44.1
100.0
100.0
40J
32.8
39.0
50.1
34.7
72.6
57.8
70.5
48.9
36.0
64.1
56.5
34.6
43.0
27.8
28.9
54.5
66.9
36.6
26.0
33.8
36.5
12.8
27.5
24.2
81.3
28.1
40.8
42.6
37.9
57.9
100.0
100.0
'Violent crimes arc ofTenses of murder, forcible rape, robbery, and aggravated assault.
^Property crimes are offenses of burglary, larceoy-lhefl, motor vehicle theft, and arson.
'Includes arson.
*Lcss than one-tenth of I percent.
217
Table 55.— Rural County Arrests, Distribution by Sex, 1990
[2,134 agencies; 1990 population 23,306,000]
Offense charged
Number of persons arrested
Total
Male
Female
Percent
male
Percent
female
Percent distribution'
Total
Male
Female
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime'
Property crime'
Crime Index total'
Other assaults
Forgery and counterfeiting
Fraud
Embezzlement
Stolen property; buying, receiving, possessing
Vandalism
Weapons; carrying, possessing, etc
Prostitution and commercialized vice
Sex offenses (except forcible rape and prostitution)
Drug abuse violations
Gambling
Offenses against family and children
Driving imder the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic)
Suspicion
Curfew and loitering law violations
Runaways
848,248
1,457
2,714
2,037
25,894
30,465
46,056
8,547
1,496
32,102
86,564
118,666
58,566
6,908
47,834
988
6,702
19,131
9,035
269
7,478
49,124
658
8,349
180,215
51,921
51,975
30,455
364
187,759
819
1,284
9,748
706J90
141,858
83.3
16.7
100.0
1,233
2,666
1,865
22,959
28,138
36,146
7,640
1,316
224
48
172
2,935
2,327
9,910
907
180
84.6
98.2
91.6
88.7
92.4
78.5
89.4
88.0
15.4
1.8
8.4
11.3
7.6
21.5
10.6
12.0
.2
.3
.2
3.1
3.6
5.4
1.0
.2
28,723
73,240
3,379
13,324
89.5
84.6
10.5
15.4
3.8
10.2
101,963
16,703
85.9
14.1
14.0
49,643
4,604
24,826
597
5,920
17,050
8,515
162
7,209
41,078
535
7,329
159,286
41,501
46,927
25,462
305
157,397
687
839
4,555
8,923
2,304
23,008
391
782
2,081
520
107
269
8,046
123
1,020
20,929
10,420
5,048
4,993
59
30,362
132
445
5,193
84.8
66.6
51.9
60.4
88.3
89.1
94.2
60.2
96.4
83.6
81.3
87.8
88.4
79.9
90.3
83.6
83.8
83.8
83.9
65.3
46.7
15.2
33.4
48.1
39.6
11.7
10.9
5.8
39.8
3.6
16.4
18.7
12.2
11.6
20.1
9.7
16.4
16.2
16.2
16.1
34.7
53.3
6.9
.8
5.6
.1
.8
2.3
1.1
(2)
.9
5.8
.1
1.0
21.2
6.1
6.1
3.6
(2)
22.1
.1
.2
1.1
100.0
.2
.4
.3
3.3
4.0
5.1
1.1
.2
4.1
10.4
14.4
7.0
.7
3.5
.1
.8
2.4
1.2
(2)
1.0
5.8
.1
1.0
22.5
5.9
6.6
3.6
(2)
22.3
.1
.1
.6
100.0
.2
(2)
.1
2.1
1.6
7.0
.6
.1
2.4
9.4
11.8
6.3
1.6
16.2
.3
.6
1.5
.4
.1
.2
5.7
.1
.7
14.8
7.3
3.6
3.5
(2)
21.4
.1
.3
3.7
■Because of rounding, the percentages may not add to total.
tess than one-tenth of I percent.
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
'Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
'Includes arson.
218
Table 56.— Rural County Arrests, Distribution by Race, 1990
[2,120 agencies; 1990 population 23,223,000]
Offense cbaiged
TOTAL
Murder and nonnegligent
manslaughler
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime' .
Property crime^
Crime Index total*
Other assaults
Forgery and counterfeiting
Fraud
Embezzlement
Stolen properly, buying, receiving,
possessing
Vandalism
Weapons; carrying, possessing, etc.
Prostitution and commercialized vice
Sex offenses (except forcible
rape and prostitution)
Drug abuse violations
Gambling
Offenses against family and children
Driving under the influence
Liquor laws
I>runkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic) ..
Suspicion
Curfew and loitering law violations
Runaways
Total arrests
Total
819,561
1,430
2,679
1,998
24,824
29,299
43,685
8,448
1,454
30,931
82,886
113,817
56,958
6,583
45,738
942
6,187
18,008
8,511
268
6.987
46,772
653
7,857
173,600
50,727
51.915
29,529
359
182,725
818
1,280
9,327
White
680,234
Black
109,864
1,025
2,021
1,188
18,352
24,175
35,226
7,049
1,231
22,586
67,681
90,267
43,543
4,968
33,717
772
4,961
15,521
6,940
232
6,287
36,920
416
5,865
159,408
47,172
45,833
23,756
304
143,845
633
752
8,122
366
583
758
5,443
4,071
6,904
985
155
American
Indian
or
Alaskan
Native
20,987
Asian
or
Pacific
Islander
8,476
7,150
12,115
19,265
10,942
1,498
11.578
140
1,066
1,«38
1,331
35
523
8,853
149
1,675
8,771
1,866
4,017
3.872
39
31,894
128
30
354
32
64
21
842
742
747
236
58
959
1,783
2,742
1,644
78
363
9
110
462
152
1
137
567
1
228
4,499
1.337
1,962
1,661
16
4,578
55
40
345
7
11
31
187
311
808
178
10
236
1,307
1,543
829
39
80
21
50
187
40
432
87
89
922
352
103
240
2,408
2
458
506
Percent distribution'
Total
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
White
83.0
71.7
75.4
59.5
73.9
82.5
80.6
83.4
84.7
Black
13.4
Amencan
Indian
Alaskan
Native
73.0
81.7
79.3
76.4
75.5
73.7
82.0
80.2
86.2
81.5
86.6
90.0
78.9
63.7
74.6
91.8
93.0
88.3
80.4
84.7
78.7
77.4
58.8
87.1
25.6
21.8
37.9
21.9
13.9
15.8
11.7
10.7
23.1
14.6
16.9
19.2
22.8
25.3
14.9
17.2
10.2
15.6
13.1
7.5
18.9
22.8
21.3
5.1
3.7
7.7
13.1
10.9
17.5
15.6
2.3
3.8
2.6
2.2
2.4
1.1
3.4
2.5
1.7
2.8
4.0
3.1
2.2
2.4
Pacific
Islander
1.0
.5
.4
1.6
.8
l.I
1.8
2.1
.7
.8
1.6
2.9
1.5
1.2
.6
.8
.2
1.0
2.2
1.8
.8
2.6
1.0
1.8
1.0
4
2.0
.6
1.2
.9
.2
13.3
2.9
1.1
2.6
.5
2.6
.7
3.8
.2
5.6
.8
45
2.5
1.3
6.7
.2
3.1
35.8
3.7
5.4
See footnotes at end of table.
219
Table 56. — Rural County Arrests, Distribution by Race, 1990 — Continued
Offense charged
Arrests under 18
Total
White
Black
American
Indian
Alaskan
Native
Pacific
Islander
Percent distribution'
Total
White
Black
American
Indian
or
Alaskan
Native
Asian
or
Pacific
Islander
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime^
Property crime'
Crime Index total'
Other assaults
Forgery and counterfeiting
Fraud
Embezzlement
Stolen property; buying, receiving,
possessing
Vandalism
Weapons; carrying, possessing, etc. ...
Prostitution and commercialized vice .
Sex offenses (except forcible
rape and prostitution)
Drug abuse violations
Gambling
Oflenses against family and children .
Driving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic)
Suspicion
Curfew and loitering law violations ...
Runaways
81,820
87
328
190
1,721
9,233
9,990
3,186
328
2,326
22,737
25,063
4,371
454
518
27
910
6,231
682
10
947
2,014
7
105
2,149
12,435
1,033
2,662
55
11,273
267
1,280
9,327
70,176
66
250
102
1,180
8,062
8,555
2,687
302
1,598
19,606
21,204
3,216
404
443
20
744
5,628
520
844
1,566
5
98
2,052
11,729
951
2,260
40
9,375
196
752
8,122
6,522
2,443
2,679
100.0
85.8
8.0
17
67
73
428
740
880
288
16
4
10
1
85
273
200
107
6
1
14
28
158
355
104
4
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
75.9
76.2
53.7
68.6
87.3
85.6
84.3
92.1
19.5
20.4
38.4
24.9
8.0
8.8
9.0
4.9
585
1,924
100
586
43
621
100.0
100.0
68.7
86.2
25.2
8.5
2,509
686
664
100.0
84.6
10.0
765
36
62
7
118
336
116
69
318
1
3
25
169
43
282
II
1,248
18
30
354
159
6
4
231
8
9
24
171
20
25
26
I
3
61
396
37
96
4
285
53
40
345
24
96
26
9
104
I
11
141
2
24
365
458
506
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
73.6
89.0
85.5
74.1
81.8
90.3
76.2
70.0
89.1
77.8
71.4
93.3
95.5
94.3
92.1
84.9
72.7
83.2
73.4
58.8
87.1
17.5
7.9
12.0
25.9
13.0
5.4
17.0
20.0
7.3
15.8
14.3
2.9
1.2
1.4
4.2
10.6
20.0
11.1
6.7
2.3
3.8
3.0
4.6
3.0
.5
4.9
3.0
2.0
3.4
1.8
4.3
2.6
2.7
3.6
1.3
.8
2.6
2.7
2.9
10.0
2.6
1.3
14.3
2.9
2.8
3.2
3.6
3.6
7.3
2.5
19.9
3.1
3.7
3J
.3
7.4
1.6
1.7
3.6
3.3
1.2
1.8
2.7
2.6
5.3
1.8
1.7
2.6
1.5
3.8
1.0
5.2
1.0
.5
1.1
.2
.9
3.2
35.8
5.4
See footnotes at end of table.
220
Table 56.— Rurai County Arrests, Distributioii by Race, 1990— Continued
OfTense charged
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime^ .
Property crime'
Crime Index total'
Other assaults
Forgery and counterfeiting
Fraud
Embezzlement
Stolen property; buying, receiving,
possessing
Vandalism
Weapons; carrying, possessing, etc.
Prostitution and commercialized vice
Sex oflenses (except forcible
rape and prostitution)
Drug abuse violations
Gambling
Offenses against family and children
Driving under the influence
Liquor laws
Drunlcenness
Disorderly conduct
Vagrancy
All other oflenses (except traflic) ..
Suspicion
Curfew and loitering law violations
Runaways
Arrests 18 and over
Total
737,741
1,343
2,351
1,808
23,103
20,066
33,695
5,262
1,126
28,605
60,149
88,754
52,587
6,129
45,220
915
5,277
11,777
7,829
258
6,040
44.758
646
7,752
171,451
38,292
50,882
26,867
304
171,452
551
White
610,058
Black
103,342
American
Indian
Alaskan
Native
18,544
959
1,771
1,086
17,172
16,113
26,671
4,362
929
20,988
48,075
69,063
40,327
4,564
33,274
752
4,217
9,893
6,420
225
5.443
35,354
411
5.767
157.356
35.443
44.882
21.496
264
134.470
437
349
516
685
5,015
3,331
6,024
697
139
6,565
10,191
16,756
10.177
1.462
11.516
133
948
1.502
1.215
33
454
8.535
148
1.672
8,746
1,697
3.974
3,590
28
30,646
110
28
54
20
757
469
547
129
52
Asian
Pacific
Islander
5,797
859
1,197
2,056
1,485
72
359
9
86
291
132
112
541
225
4,438
941
1.925
1.565
12
4.293
2
Percent distribution'
Total
100.0
7
100.0
10
100.0
17
100.0
159
100.0
153
100.0
453
100.0
74
100.0
6
100.0
193
100.0
686
100.0
879
598
31
71
21
26
91
62
31
328
87
88
911
211
101
216
2.043
2
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
White
82.7
Black
14.0
71.4
75.3
60.1
74.3
80.3
79.2
82.9
82.5
73.4
79.9
77.8
'Because of rounding, the percentages may not add to total.
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
■Property crimes are offenses of burglary, larceny-lheft. motor vehicle theft, and arson.
'Includes arson.
76.7
74.5
73.6
82.2
79.9
84.0
82.0
87.2
90.1
79.0
63.6
74.4
91.8
92.6
88.2
80.0
86.8
78.4
79.3
26.0
21.9
37.9
21.7
16.6
17.9
13.2
12.3
American
Indian
or
Alaskan
Native
23.0
16.9
18.9
19.4
23.9
25.5
14.5
18.0
12.8
15.5
12.8
7.5
19.1
22.9
21.6
5.1
4.4
7.8
13.4
9.2
17.9
20.0
2.5
2.1
2.3
1.1
3.3
2.3
1.6
2.5
4.6
3.0
2.0
2.3
2.8
1.2
.8
1.0
1.6
2.5
1.7
1.9
1.2
2.9
2.6
2.5
3.8
5.8
3.9
2.5
.4
Asian
or
Pacific
Islander
.5
.4
.9
.7
.8
1.3
1.4
.5
.7
1.1
1.0
1.1
.5
.2
2.3
.5
.8
.5
.7
13.5
1.1
.5
.6
.2
.8
1.2
.4
221
Table 57.— Suburban Area' Arrest Trends, 1989-1990
(4,056 agencies; 1990 population 67,525,000]
Oflense charged
Number of persons arrested
Total all ages
1989
1990
Percent
change
Under 1 8 years of age
1989
1990
Percent
change
18 years of age and over
1989
1990
Percent
change
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime'
Property crime'
Crime Index total*
Other assaults
Forgery and counterfeiting
Fraud
Embezzlement
Stolen property; buying, receiving,
possessing
Vandalism
Weapons; carrying, possessing, etc. ...
Prostitution and commercialized vice .
Sex offenses (except forcible rape
and prostitution)
Drug abuse violations
Gambling
Offenses against family and children
Driving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic)
Suspicion (not included in totals)
Curfew and loitering law violations ...
Runaways
3,096,191
3,009
7.418
19,475
82,940
92,718
343,050
39,904
4,435
112,842
480,107
592,949
201,980
22,282
95,495
3,236
38,750
74,854
43,764
6,708
22,471
246,476
2,513
23,345
531,350
160,361
179,482
148,006
4,703
640,326
2,743
17,148
39,992
3,234,226
3,392
7,830
21,125
92,710
91,151
358,331
40,077
4,854
125,057
494,413
619,470
227,228
21,877
99,268
3,149
39,254
81,806
45,817
7,186
22,812
202,796
2,575
28,737
571,900
175,803
195,187
159,312
4,054
665,863
2,923
19,113
41,019
+4.5
500,076
527,526
+5.5
2,5%,115
2,706,700
+ 12.7
+5.6
+8.5
+ 11.8
-1.7
+4.5
+.4
+9.4
285
1,190
3,857
10,725
33,077
106,543
16,202
2,281
380
1,237
4.617
12,617
33,379
113,769
17,535
2,453
+33.3
+3.9
+ 19.7
+ 17.6
+.9
+6.8
+8.2
+7.5
2,724
6,228
15,618
72,215
59,641
236,507
23,702
2,154
3,012
6,593
16.508
80,093
57,772
244,562
22,542
2,401
+ 10.8
+3.0
16,057
158,103
18,851
167,136
+ 17.4
+5.7
96.785
322,004
106,206
327,277
+4.5
174,160
185,987
+6.8
418,789
433,483
+ 12.5
-1.8
+4.0
-2.7
+ 1.3
+9.3
+4.7
+7.1
+ 1.5
-17.7
+2.5
+23.1
+7.6
+9.6
+8.8
+7.6
-13.8
+4.0
+6.6
+ 11.5
+2.6
30,016
1,703
1,752
267
10,212
34,033
7,792
127
4,159
20,072
150
755
5,904
42,601
5,378
29,691
819
73,345
882
17.148
39,992
34,368
1,879
1,821
194
10,871
36,831
8,516
216
4,317
14,561
126
865
6,239
46,047
5,972
32,271
819
75,494
901
19,113
41,019
+ 14.5
+ 10.3
+3.9
-27.3
+6.5
+8.2
+9.3
+70.1
+3.8
-27.5
-16.0
+ 14.6
+5.7
+8.1
+ 11.0
+8.7
+2.9
+2.2
+ 11.5
+2.6
171,964
20,579
93,743
2,969
28,538
40,821
35,972
6,581
18,312
226,404
2,363
22.590
525,446
117,760
174.104
118,315
3.884
566,981
1,861
192,860
19,998
97,447
2,955
28,383
44,975
37,301
6,970
18,495
188,235
2,449
27,872
565,661
129,756
189.215
127,041
3.235
590,369
2,022
+43
+ 10.6
+5.9
+5.7
+10.9
-3.1
+3.4
-4.9
+ 11.5
+9.7
+ 1.6
+3.5
+ 12.2
-2.8
+4.0
-.5
-.5
+ 10.2
+3.7
+5.9
+ 1.0
-16.9
+3.6
+23.4
+7.7
+10.2
+8.7
+7.4
-16.7
+4.1
+8.7
'Includes suburban city and county law enforcement agencies within metropolitan areas. Excludes central cities. Suburban cities and counties are also included in other groups.
Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
'Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
^Includes arson.
222
Table 58.— Suburban Area' Arrest Trends, Sex, 1989-1990
(4,056 agencies, 1990 population 67,525,000)
OfTense charged
TOTAL
Murder and nonnegligent
manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime^
Property crime'
Crime Index total'
Other assaults
Forgery and counterfeiting
Fraud
Embezzlement
Stolen property; buying, receiving,
possessing
Vandalism
Weapons; carrying, possessing, etc.
Prostitution and commercialized
vice
Sex ofTenses (except forcible rape
and prostitution)
Drug abuse violations
Gambling
Offenses against family and
children
Driving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic)
Suspicion (not included in totals) ..
Curfew and loitering law violations
Runaways
Males
Total
1989
2,531,910
2,601
7,318
17,875
73,104
84,683
235,967
35,749
3,915
100,898
360,314
1990
2,640,S59
461,212
169,000
14,568
49,263
1,825
33,785
67,275
40,795
2,551
21.398
204.709
2,035
20,378
465,307
128,770
161,836
121,888
3,949
530,690
2,321
12,589
18,087
3,033
7,742
19,372
81,630
83,556
242,919
35,809
4,303
111,777
366,587
Percent
change
+4.3
+16.6
+5.8
+8.4
+ 11.7
-1.3
+2.9
+.2
+9.9
Under 18
1989
388,621
+10.8
+ 1.7
478,364
189,366
14,033
50,966
1,909
34,399
73,823
42,640
3,206
21,738
168,443
2.130
25,049
498,605
141,892
175,386
131,212
3,535
551,510
2,461
13,892
18,461
+3.7
+ 12.1
-3.7
+3.5
+4.6
+ 1.8
+9.7
+4.5
+25.7
+ 1.6
-17.7
+4.7
+22.9
+7.2
+ 10.2
+8.4
+7.6
-10.5
+3.9
+6.0
+ 10.4
+2.1
261
1,161
3,582
9.305
30,468
79,094
14,405
2,059
14,309
126,026
1990
410,297
360
1,204
4,278
10,873
30,840
84,001
15,415
2.227
16,715
132,483
Percent
change
+5.6
+37.9
+3.7
+ 19.4
+ 16.9
+ 1.2
+6.2
+7.0
+8.2
Females
Total
1989
564,281
408
100
1,600
9,836
8.035
107,083
4,155
520
140,335
23,341
1,190
1,104
166
9.194
31,153
7,417
55
3.866
17,103
130
505
5,103
30,490
4,504
23.937
686
57,666
735
12,589
18,087
J_
149,198
26,789
1.248
1,228
125
9,876
34,010
8,102
136
4,038
12,604
115
570
5,396
33.159
5,028
26,054
688
59,580
761
13,892
18,461
+ 16.8
+5.1
+6.3
+ 14.8
+4.9
+ 11.2
-24.7
+7.4
+9.2
+9.2
+ 147.3
+4.4
-26.3
-11.5
+ 12.9
+5.7
+8.8
+ 11.6
+8.8
+.3
+3.3
+3.5
+ 10.4
+2.1
1 1 ,944
119,793
1990
593,667
359
88
1,753
11,080
7,595
115,412
4,268
551
Percent
change
+5.2
-12.0
-12.0
+9.6
+ 12.6
-5.5
+7.8
+2.7
+6.0
Under 18
1989
111,455
1990
117,229
131,737
32,980
7,714
46,232
1,411
4.965
7,579
2,969
4,157
1,073
41,767
478
2,967
66,043
31,591
17,646
26,118
754
109,636
422
4,559
21,905
13,280
127,826
141,106
37,862
7,844
48,302
1,240
4,855
7,983
3,177
3,980
1,074
34,353
445
3,688
73,295
33,911
19,801
28,100
519
114,353
462
5,221
22,558
+ 11.2
+6.7
+7.1
+ 14.8
+ 1.7
+4.5
-12.1
-2.2
+5.3
+7.0
-4.3
+.1
-17.8
-6.9
+24.3
+ 11.0
+7.3
+ 12.2
+7.6
-31.2
+4.3
+9.5
+ 14.5
+3.0
24
29
275
1,420
2,609
27,449
1,797
222
1,748
32,077
33,825
6,675
513
648
101
1,018
2,880
375
72
293
2,969
20
250
801
12,111
874
5.754
133
15,679
147
4.559
21,905
20
33
339
1,744
2,539
29,768
2,120
226
2,136
34,653
36,789
7,579
631
593
69
995
2,821
414
80
279
1,957
II
295
843
12,888
944
6,217
131
15,914
140
5,221
22,558
Percent
change
+5.2
-16.7
+ 13.8
+23.3
+22.8
-2.7
+8.4
+ 18.0
+ 1.8
+22.2
+8.0
+8.8
+ 13.5
+23.0
-8.5
-31.7
-2.3
-2.0
+ 10.4
+ 11.1
-4.8
-34.1
-45.0
+ 18.0
+5.2
+6.4
+8.0
+8.0
-1.5
+ 1.5
-4.8
+ 14.5
+3.0
'Includes suburban city and county law enforcement agencies within metropolitan areas. Excludes central cities. Suburban cities and counties are also included in other groups.
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
'Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
'Includes arson.
223
Table 59.— Suburban Area' Arrests, Distribution by Age, 1990
[4,821 agencies; 1990 population 79,878,000]
OfTense charged
Total
aU
ages
Ages
under
15
Ages
under
18
Ages
18 and
over
Age
Under
10
10-12
13-14
15
16
17
19
20
TOTAL
Pcrecit distribution'
Murder and nonnegligent
manslaugbter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime'
Percent distribution'
Property crime*
Percent distribution'
Crime Index total'
Percent distribution'
Other assaults
Forgery and counterfeiting
Fraud
Embezzlement
Stolen property; buying, receiving,
possessing
Vandalism
Weapons; carrying,
possessing, etc
Prostitution and
commercialized vice
Sex ofTenses (except forcible
rape and prostitution)
Drug abuse violations
Gambling
OfTenses against family and
children
Driving under the influence
Liquor laws
Drunkenness
Disordcriy conduct
Vagrancy
All other offenses (except
traffic)
Suspicion
Curfew and loitering law
violations
Runaways
3,881,771
100.0
4,143
9,593
28,485
116,455
113,659
434,061
48,037
5,609
158,676
100.0
601,366
100.0
760,042
100.0
266,485
25,865
110,344
4,188
46,022
95,190
54,421
11,504
27,148
247,419
3,220
32,145
638,951
207,290
227,454
190,673
4.510
856,102
3,181
22,050
47,567
208,744
5.4
623,799
16.1
3,257,972
83.9
15,163
.4
52,280
U
141,301
3.6
114,469
2.9
139,693
3.6
160,893
4.1
195,713
5.0
203,143
5.2
185,890
4.8
54
543
1,554
4,807
15,812
58,115
5,588
1,838
482
1,516
6,087
15,855
40,829
135,065
20,784
2,789
3,661
8,077
22,398
100,600
72,830
298,996
27,253
2,820
3
23
38
348
1,174
4,165
68
430
7
111
303
1,244
4,135
17,473
642
602
44
409
1.213
3,215
10,503
36,477
4,878
806
86
279
1,121
2,860
7,646
23,418
5,036
357
125
322
1,592
3.684
8,347
26,389
5,299
307
217
372
1,820
4,504
9,024
27,143
4,861
287
248
500
2,110
5,002
9,243
25,811
3,947
239
228
439
2,022
5,077
7,551
21,746
3,112
190
212
377
1,665
4,815
5,764
17,819
2,207
152
6,958
4.4
81.353
13.5
23,940
15.1
199,467
33.2
134,736
84.9
401,899
66.8
412
.3
5,837
1.0
1,665
1.0
22,852
3.8
4,881
3.1
52,664
4,346
2.7
36,457
6.1
5,723
3.6
40,342
6.7
6,913
4.4
41,315
6.9
7,860
5.0
39,240
6.5
7,766
4.9
32,599
5.4
7,069
4.5
25,942
4.3
8,311
11.6
223,407
29.4
536,635
70.6
6,249
24,517
3.2
57,545
7.6
40,803
5.4
46,065
6.1
48,228
6.3
47,100
6.2
40,365
5.3
33,01 1
4.3
15,344
327
349
39
3,469
20,209
2,702
36
2,494
2,191
41
377
140
4,110
840
12,385
236
28,321
364
6,613
19,846
40,313
2,146
2,152
276
12,614
42,381
9,933
241
4,989
17,788
143
1,116
6,866
52,056
7,077
37,839
856
91,000
989
22,050
47,567
226,172
23,719
108,192
3,912
33,408
52,809
44,488
11,263
22,159
229,631
3,077
31,029
632,085
155,234
220,377
152,834
3,654
765,102
2,192
1,242
17
39
2
98
2,827
116
233
66
2
49
959
12
2,237
38
127
640
4,262
57
49
10
660
6,383
551
10
691
219
6
81
15
300
85
3,218
34
6,602
109
1,061
3,360
9,840
253
261
27
2,711
10,999
2.035
23
1,570
1,906
33
217
85
3,722
706
8,208
190
19,482
217
5,425
15,846
7,154
306
266
23
2,538
6,899
1,869
51
912
2,807
25
223
266
7,159
1,073
7,030
142
16,987
183
5,259
12,494
8,421
538
520
65
3,149
7,455
2,419
61
758
4,823
31
246
1,676
15,148
1,821
8,352
211
20,757
207
6,363
10,607
9,394
975
1,017
149
3,458
7.818
2,943
93
825
7,967
46
270
4,784
25,639
3,343
10,072
267
24.935
235
3,815
4,620
10,235
1,426
2,510
226
3,855
6,742
3,671
215
935
11,922
112
710
13,058
36,867
7,091
11,041
314
37,469
214
10,756
1,669
3,936
255
3,315
5,456
3,368
343
900
13,616
77
714
18,098
36,656
7,886
10,931
284
44,353
165
10.365
1,446
4,720
255
2,591
4,139
2,808
387
855
13,155
58
858
21,016
28,102
8,070
10,197
191
43,537
129
See footnotes at end of table.
224
Table 59. — Subnrban Area* Arrests, Distribution by Age, 1990 — Continued
OiTense charged
Age
22
23
24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60-64
65 and
over
TOTAL
PcKtnl di>trlbiitioii>
Murder and nonnegligent
manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Anon
Violent crime'
Percent distribution'
Property crime*
Percent distribution'
Crime Index total' ..
Percent distribution'
Other assaults
Forgery and counterfeiting
Fraud
Embezzlement
Stolen property; buying, receiving,
possessing
Vandalism
Weapons; carrying,
possessing, etc
Prostitution and
commercialized vice
Sex offenses (except forcible
rape and prostitution)
Drug abuse violations
Gambling
Offenses against family and
children
Driving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except
traffic)
Suspicion
Curfew and loitering law
violations
Runaways
152,828
3.9
175
380
1,290
4.631
4,023
12.915
1,591
153
6,476
4.1
18,682
3.1
25,158
3.3
10,350
1,119
5,016
183
1,793
2,830
2,291
487
816
11,777
52
1.093
26,933
5,106
8,987
8,676
171
39,877
113
147,437
3.8
14«,117
3.8
687,779
17.7
537,989
13.9
350,256
9.0
208,544
5.4
117,656
3.0
66,048
1.7
39,848
1.0
26,118
.7
180
369
1,273
4,509
3,687
12,301
1,387
120
164
371
1,219
4,465
3,365
11,465
1,304
116
709
1,697
4,944
22,290
14,291
55,122
5,115
546
508
1,375
3,312
18.035
10,101
45,962
3,122
406
378
860
1,700
11,492
5,486
32,276
1,794
287
275
556
758
6,673
2,498
18,898
947
191
151
293
306
3,825
1,109
10,474
452
117
86
164
154
2,163
488
6,433
195
65
57
128
63
1,212
276
4,500
94
45
38
65
29
792
117
3,491
59
19
6,331
4.0
17,495
2.9
6,219
3.9
16,250
2.7
29,640
18.7
75.074
12.5
23,230
14.6
59,591
9.9
14,430
9.1
39,843
6.6
8,262
5.2
22,534
3.7
4,575
2.9
12,152
2.0
2,567
1.6
7,181
1.2
1,460
.9
4,915
924
.6
3,686
.6
23,826
3.1
22,469
3.0
104,714
13.8
82,821
10.9
54,273
7.1
30,796
4.1
16,727
2.2
9,748
1.3
6,375
4,610
.6
10,522
1,156
5,024
180
1,651
2.613
2,217
516
793
1,162
27,365
4,046
8,874
7,697
158
37,979
109
10,787
1,065
5,273
176
1,553
2,403
2,076
541
817
11,734
68
1,412
27,950
3,429
8,776
7,528
153
37,818
89
52,434
5,173
24,496
827
6.307
10,235
8,632
3,044
4,220
56,218
335
6,922
142,646
12,970
44,434
31,705
670
171,341
456
40,987
4,010
20,179
636
4,411
6,808
6,421
2.369
3,685
41,985
386
6,693
117,087
8,264
38,868
22,613
525
128,917
324
25,809
2,680
14,192
406
2,876
3,758
4,115
1,326
2,806
24,606
369
4,885
79,630
5,201
28,552
13,645
380
80,556
191
15.090
1.387
8,828
284
1,453
2,065
2,605
672
1,950
11,848
370
2,814
52,345
2,981
18,707
8.098
238
45,896
117
8,081
688
4.423
132
756
1.024
1,555
374
1,218
4,877
339
1,431
32,382
1,838
11,852
4,532
142
25,225
60
4,442
317
2,347
74
341
524
854
204
805
2,048
288
630
19,518
1,025
7,224
2,490
76
13,057
36
2,534
177
1,174
32
177
330
568
120
577
889
208
304
12,058
649
4,855
1,433
53
7,320
15
1,554
55
647
25
114
207
371
74
408
490
161
158
7,699
424
3,417
1,037
37
4,620
10
27,014
.7
52
77
30
820
127
5,065
64
21
979
.6
5,277
.9
6,256
1,605
70
604
29
102
241
342
109
602
376
142
138
6,987
426
2,893
1,150
31
4,895
16
'Includes suburban city and county law enforcement agencies within metropolitan areas. Excludes central cities. Suburban cities and counties are also included in other groups.
'Because of rounding, the percentages may not add to total.
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
'Property crimes are olTenses of burglary, larceny-theft, motor vehicle theft, and arson.
'Includes arson.
225
Table 60. — Suburlnui Area* Arrests of Persons under 15, 18, 21 and 2S Years of Age, 1990
[4,821 agencies; 1990 population 79,878,000)
Oflense charged
Total
all ages
Number of persons arrested
Under 15 Under 18 Under 21
Under 25
Percent of total all ages
Under
15
Under
18
Under
21
Under
25
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime^
Property crime^
Crime Index total*
Other assaults
Forgery and counterfeiting
Fraud
Embezzlement
Stolen property; buying, receiving, possessing
Vandalism
Weapons; carrying, possessing, etc
Prostitution and commercialized vice
Sex oiTenses (except forcible rape and prostitution)
Drug abuse violations
Gambling
Offenses against family and children
Driving under the influence
Liquor laws
Dninkenness
Disorderly conduct
Vagrancy
All other oflenses (except traffic)
Suspicion
Curfew and loitering law violations
Runaways
3,881,771
4,143
9,593
28,485
116,455
113,659
434,061
48,037
5,609
158,676
601,366
760,042
266,485
25,865
110,344
4,188
46,022
95,190
54,421
11,504
27,148
247,419
3,220
32,145
638,951
207,290
227,454
190,673
4,510
856,102
3,181
22,050
47,567
208,744
623,799
1,208,545
1,820,519
5.4
16.1
54
543
1,554
4,807
15.812
58,115
5,588
1,838
482
1,516
6,087
15,855
40,829
135,065
20,784
2,789
1,170
2,832
11,884
30,749
63,387
200,441
30,050
3,370
1,889
4,378
17,189
49,153
79,166
251,840
36,195
3,912
1.3
5.7
5.5
4.1
13.9
13.4
11.6
32.8
11.6
15.8
21.4
13.6
35.9
31.1
43.3
49.7
6,958
81,353
23,940
199,467
46,635
297,248
72,609
371,113
4.4
13.5
15.1
33.2
;,311
223,407
343,883
443,722
11.6
29.4
15,344
327
349
39
3,469
20,209
2,702
36
2,494
2,191
41
377
140
4,110
840
12,385
236
28,321
364
6,613
19,846
40,313
2,146
2,152
276
12,614
42,381
9,933
241
4,989
17,788
143
1,116
6,866
52,056
7,077
37,839
856
91,000
989
22,050
47,567
71,669
6,687
13,318
1,012
22,375
58,718
19,780
1,186
7,679
56,481
390
3,398
59,038
153,681
30,124
70,008
1,645
216,359
1,497
22,050
47,567
113,949
11,308
33,454
1,743
29,485
69,998
28,958
3,212
10,877
104,082
622
8,170
168,599
173,512
66.652
103,970
2,358
374,275
1,956
22,050
47,567
5.8
1.3
.3
.9
7.5
21.2
5.0
.3
9.2
.9
1.3
1.2
(5)
2.0
.4
6.5
5.2
3.3
11.4
30.0
41.7
15.1
8.3
2.0
6.6
27.4
44.5
18.3
2.1
18.4
7.2
4.4
3.5
1.1
25.1
3.1
19.8
19.0
10.6
31.1
100.0
100.0
31.1
28.2
29.5
41.7
26.4
55.8
46.2
62.6
60.1
29.4
49.4
45.2
26.9
25.9
12.1
24.2
48.6
61.7
36.3
10.3
28.3
22.8
12.1
10.6
9.2
74.1
13.2
36.7
36.5
25.3
47.1
100.0
100.0
4«.9
45.6
45.6
60.3
42.2
69.7
58.0
75.3
69.7
45.8
61.7
58.4
42.8
43.7
30.3
41.6
64.1
73.5
53.2
27.9
40.1
42.1
19.3
25.4
26.4
83.7
29.3
54.5
52.3
43.7
61.5
100.0
100.0
'Includes suburban city and county law enforcement agencies within metropolitan areas. Excludes central cities. Suburban cities and counties are also included in other groups.
Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
'Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
'Includes arson.
'Less than one-tenth of 1 percent.
226
Table 61.— Suburban Area' Arrests, Distribudon by Sex, 1990
(4,82 1 agencies; 1990 population 79.878,000)
OfTense charged
Number of persons arrested
Total
Male
Female
Percent
male
Percent
female
Percent distribution'
Total
Male
Female
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime*
Property crime*
Crime Index total'
Other assaults
Forgery and counterfeiting
Fraud
Embezzlement
Stolen property; buying, receiving, possessing
Vandalism
Weapons; carrying, possessing, etc
Prostitution and commercialized vice
Sex offenses (except forcible rape and
prostitution)
Drag abuse violations
Gambling
Offenses against family and children
Driving under the influence
Liquor laws
Drankenness
Disorderly conduct
Vagrancy
All other offenses (except traflic)
Suspicion
Curfew and loitering law violations
Runaways
3,881,771
4,143
9,593
28,485
116,455
113,659
434,061
48,037
5,609
158,676
601,366
760,042
266,485
25,865
110,344
4.188
46,022
95,190
54,421
11,504
27,148
247,419
3,220
32,145
638,951
207,290
227,454
190,673
4,510
856,102
3,181
22,050
47,567
3,172.995
708,776
81.7
I8J
100.0
3,710
9,485
26,182
101,928
104,493
294,638
42,987
4,959
433
108
2,303
14,527
9,166
139,423
5,050
650
89.5
98.9
91.9
87.5
91.9
67.9
89.5
88.4
10.5
1.1
8.1
12.5
8.1
32.1
10.5
11.6
.1
.2
.7
3.0
2.9
11.2
1.2
.1
141,305
447,077
17,371
154,289
89.1
74.3
10.9
25.7
4.1
15.5
588,382
171,660
77.4
22.6
19.6
222,582
16,783
57,631
2,559
40,300
85,736
50,591
5,719
25,768
205,850
2,675
28,038
556,133
167,622
204,496
156,949
3,932
711,074
2,687
16,002
21,486
43,903
9,082
52,713
1,629
5,722
9,454
3,830
5.785
1,380
41,569
545
4,107
82,818
39,668
22,958
33,724
578
145,028
494
6,048
26,081
83.5
64.9
52.2
61.1
87.6
90.1
93.0
49.7
94.9
83.2
83.1
87.2
87.0
80.9
89.9
82.3
87.2
83.1
84.5
72.6
45.2
16.5
35.1
47.8
38.9
12.4
9.9
7.0
50.3
5.1
16.8
16.9
12.8
13.0
19.1
10. 1
17.7
12.8
16.9
15.5
27.4
54.8
6.9
,7
2.8
.1
1.2
2.5
1.4
.7
6.4
.1
.8
16.5
5.3
5.9
4.9
.1
22.1
.1
.6
1.2
100.0
.1
.3
.8
3.2
3.3
9.3
1.4
.2
4.5
14.1
18.5
7.0
.5
1.8
.1
1.3
2.7
1.6
.8
6.5
.1
.9
17.5
5.3
6.4
4.9
.1
22.4
.1
.5
.7
100.0
.1
(3)
.3
2.0
1.3
19.7
.7
.1
2.5
21.8
24.2
6.2
1.3
7.4
.2
.8
1.3
.5
.2
5.9
.1
.6
11.7
5.6
3.2
4.8
.1
20.5
.1
.9
3.7
'Includes suburban city and county law enforcement agencies within metropolitan areas. Excludes central cities. Suburban cities and counties are also included in other groupe.
'Because of rounding, the percentages may not add to total.
^Less than one-tenth of one percent.
*Vjolent crimes arc offenses of murder, forcible rape, robbery, and aggravated assault.
'Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson.
'Includes arson.
I
227
Table 62.— Suburban Area' Arrests, Distributioa by Race, 1990
[4,766 agencies; 1990 population 79,577,000]
Offense charged
Total arrests
Total
White
Black
American
Indian
Alaskan
Native
Asian
or
Pacific
Islander
Percent distribution'
Total
White
Black
Amencan
Indian
or
Alaskan
Native
Asian
Pacific
Islander
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime' .
Property crime*
Crime Index total'
Other assaults
Forgery and counterfeiting
Fraud
Embezzlement
Stolen property; buying, receiving,
possessing
Vandalism
Weapons; carrying, possessing, etc.
Prostitution and commercialized vice .
Sex offenses (except forcible rape and
prostitution)
Drug abuse violations
Gambling
Offenses against family and children .
Driving under the inftuence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic) ..
Suspicion
Curfew and loitering law violations
Runaways
3,828,703
2,997,023
799,567
15,816
16,297
100.0
78.3
20.9
4,098
9,507
28,348
114,937
112,171
427,738
47,804
5,527
1 56,890
593,240
750,130
264,098
25,006
106,451
4,088
44,796
93,511
53,591
11,489
26,493
241,979
3,146
31,577
627,705
205,329
227,152
189,150
4,485
846,753
3,178
21,878
46,718
2,512
6,441
12,849
80,790
85,797
305,801
32,844
4,628
1,522
2,983
15,262
33,014
25,386
116,620
14,407
850
31
38
97
564
460
1,817
220
19
33
45
140
569
528
3,500
333
30
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
61.3
67.8
45.3
70.3
76.5
71.5
68.7
83.7
37.1
31.4
53.8
28.7
22.6
27.3
30.1
15.4
102,592
429,070
52,781
157,263
730
2,516
787
4,391
100.0
100.0
65.4
72.3
33.6
26.5
531,662
210,044
3,246
5,178
100.0
70.9
28.0
195,804
18,045
75,834
2,761
30,075
78,878
37,894
8,215
22,662
170,028
2,002
21,955
581,707
188,688
197,001
147,635
3,164
620,834
2,493
18,940
40,746
65,859
6,757
30,150
1,296
14,270
13,944
15,249
3,155
3,575
70,930
1,111
9,440
40,823
15,038
27,346
40,197
1,284
220,273
668
2,775
5,383
1,276
110
237
3
162
283
162
43
120
523
3
102
2,294
984
2,154
734
14
2.956
6
81
323
1,159
94
230
28
289
406
286
76
136
498
30
80
2,881
619
651
584
23
2.690
II
82
266
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
74.1
72.2
71,2
67.5
67.1
84.4
70.7
71.5
85.5
70.3
63.6
69.5
92.7
91.9
86.7
78.1
70.5
73.3
78.4
86.6
87.2
24.9
27.0
28.3
31.7
31.9
14.9
28.5
27.5
13.5
29.3
35.3
29.9
6.5
7.3
12.0
21.3
28.6
26.0
21.0
12.7
11.5
.8
.5
.5
.5
.5
.8
.7
.5
.4
.4
.2
.7
.6
.4
.5
.5
.2
1.0
.3
.5
.3
.3
.3
.5
.3
.3
.4
.6
See footnotes at end of table.
228
Table 62. — Suburban Area' Arrests, Distribution by Race, 1990 — Continued
OITense charged
Arrests under 18
Total
White
Black
American
Indian
Alaskan
Native
Asian
or
Paciflc
Islander
Percent distribution'
Total
White
Black
American
Indian
or
Alaskan
Native
Asian
or
Pacific
Islander
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime'
Property crime*
Crime Index total'
Other assaults
Forgery and counterfeiting
Fraud
Embezzlement
Stolen property; buying, receiving,
possessing
Vandalism
Weapons; carrying, possessing, etc. ...
Prostitution and commercialized vice .
Sex offenses (except forcible rape
and prostitution)
Drug abuse violations
Gambling
Offenses against family and children .
Driving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic)
Suspicion
Curfew and loitering law violations ...
Runaways
615,410
478
1,510
6.062
15,579
40,149
133,006
20,685
2.758
23,629
196,598
220,227
40,007
2,096
2,080
267
12,258
41,737
9,839
241
4,833
17,499
143
1,051
6,789
51.569
7,057
37,515
856
89,762
988
21,878
46,718
490,671
117,982
2,681
4,076
100.0
79.7
19.2
244
983
2,550
10,054
32,676
102,539
14,211
2,388
228
521
3,440
5,345
6,992
28,413
6,164
343
1
3
24
65
175
639
114
9
5
3
48
115
306
1,415
196
18
100.0
100.0
100.0
100.0
100.0
1 00.0
100.0
100.0
51.0
65.1
42.1
64.5
81.4
77.1
68.7
86.6
47.7
34.5
56.7
34.3
17.4
21.4
29.8
12.4
13,831
151,814
9,534
41,912
93
937
171
1,935
100.0
100.0
58.5
77.2
40.3
21.3
165,645
51,446
1,030
2,106
100.0
75.2
23.4
28,469
1,783
1,547
171
8,179
36,429
7,215
158
3,907
11,506
68
872
6.539
49,459
6,524
29,111
689
71,933
781
18,940
40,746
11,151
290
517
94
3,908
4,927
2,509
77
5.906
74
172
204
1,700
427
8,092
155
17,089
198
2,775
5,383
147
8
3
47
140
38
19
42
240
100.0
15
100.0
13
100.0
2
100.0
124
100.0
241
100.0
77
100.0
100.0
5
32
263
81
137
2
278
2
81
323
19
100.0
45
100.0
1
100.0
2
100.0
14
100.0
147
100.0
25
100.0
175
100.0
10
100.0
462
100.0
7
100.0
82
100.0
266
100.0
71.2
85.1
74.4
64.0
66.7
87.3
73.3
65.6
80.8
65.8
47.6
83.0
96.3
95.9
92.4
77.6
80.5
80.1
79.0
86.6
87.2
27.9
13.8
24.9
35.2
31.9
11.8
25.5
32.0
.4
.3
.4
1.2
18.4
33.8
51 7
16.4
3.0
3.3
6.1
1.1
21.6
18.1
19.0
20.0
12.7
11.5
1.0
.2
.7
1.0
1.0
.6
.7
.6
.7
1.0
.6
1.2
.4
.3
.7
.2
.2
.3
.4
.5
1.2
.5
.7
.4
.6
See footnotes at end of table.
229
Table 62. — Suburban Area' Arrests, Distribution by Race, 1990 — Continued
OfTense charged
Arrests 18 and over
Total
White
Black
American
Indian
or
Alaskan
Native
Asian
or
Pacific
Islander
Percent distribution^
Total
White
Black
American
Indian
or
Alaskan
Native
Asian
or
Pacific
Islander
TOTAL
Murder and nonnegligent manslaughter
Forcible rape
Robbery
Aggravated assault
Burglary
Larceny-theft
Motor vehicle theft
Arson
Violent crime' .
Property crime'
Crime Index total'
Other assaults
Forgery and counterfeiting
Fraud
Embezzlement
Stolen property; buying, receiving,
possessing
Vandalism
Weapons; carrying, possessing, etc
Prostitution and commercialized vice
Sex oflenses (except forcible rape
and prostitution)
Drug abuse violations
Gambling
Oftenses against family and children
Driving under the influence
Liquor laws
Drunkenness
Disorderly conduct
Vagrancy
All other offenses (except traffic) ..
Suspicion
Curfew and loitering law violations
Runaways
3,213,293
3,620
7.997
22,286
99,358
72,022
294,732
27,119
2,769
133,261
396,642
529,903
224,091
22,910
104,371
3,821
32,538
51,774
43,752
11,248
21,660
224,480
3,003
30,526
620,916
153.760
220,095
151,635
3,629
756,991
2.190
2,506352
681,585
13,135
12,221
100.0
78.0
21.2
2,268
5,458
10,299
70,736
53,121
203,262
18,633
2,240
1,294
2,462
11,822
27,669
18,394
88,207
8,243
507
30
35
73
499
285
1,178
106
10
28
42
92
454
222
2,085
137
12
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
62.7
68.3
46.2
71.2
73.8
69.0
68.7
80.9
35.7
30.8
53.0
27.8
25.5
29.9
30.4
18.3
88,761
277,256
43,247
115,351
637
1,579
616
2,456
100.0
100.0
66.6
69.9
32.5
29.1
366,017
158,598
2,216
3,072
100.0
69.1
29.9
167,335
16,262
74,287
2,590
21,896
42,449
30,679
8,057
18,755
158,522
1,934
21,083
575,168
139,229
190,477
118,524
2,475
548,901
1,712
54,708
6.467
29,633
1,202
10,362
9,017
12,740
3,078
2,687
65,024
1,037
9,268
40,619
13,338
26,919
32,105
1,129
203,184
470
1,129
102
234
3
115
143
124
40
101
481
3
97
2,262
721
2,073
597
12
2,678
4
919
100.0
79
100.0
217
100.0
26
100.0
165
100.0
165
100.0
209
100.0
73
117
453
29
78
2,867
472
626
409
13
2,228
4
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
100.0
74.7
71.0
71.2
67.8
67.3
82.0
70.1
71.6
86.6
70.6
64.4
69.1
92.6
90.5
86.5
78.2
68.2
72.5
78.2
24.4
28.2
28.4
31.5
31.8
17.4
29.1
27.4
12.4
29.0
34.5
30.4
6.5
8.7
12.2
21.2
31.1
26.8
21.5
.5
.2
1.0
.3
.5
.3
.3
.3
.4
.3
.2
'Includes suburban city and county law enforcement agencies within metropolitan areas. Excludes central cities. Suburban cities and counties are also included in other groups.
'Because of rounding, the percentages may not add to total.
'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault.
'Property crimes are offenses of burglary, larccny-thef\, motor vehicle theft, and arson.
'Includes arson.
230
Table 63.— Arrests by State, Crime Index Offenses, 1990
[1990 population]
Sutc
Total'
aU
classes
Crime'
Index
total
Violent'
crime
Property^
cnme
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggravated
assault
Burglao'
Larceny-
theft
Motor
vehicle
theft
ALABAMA: 221 agencies;
population 2,642,000:
Under 18
Total all ages
ALASKA: 26 agencies;
population 297,000:
Under 18
Total all ages
ARIZONA: 78 agencies;
population 3,505,000:
Under 18
Total all ages
ARKANSAS: 175 agencies;
population 2,256,000:
Under 18
Total all ages
CAUFORNIA: 570 agencies;
population 28,646,000:
Under 18
Total all ages
COLORADO: 217 agencies;
population 3,167,000:
Under 18
Total all ages
CONNECnCUT: 90
agencies;
population 2,490,000:
Under 18
Total all ages
DELAWARE: 54 agencies;
population 665,000:
Under 18
Total all ages
DISTRICT OF COLUMBU;
I agency;
population 607,000:
Under 18
Total all ages
FLORIDA: 233 agencies;
population 7,920,000:
Under 18
Total all ages
GEORGLi'
HAWAU: 5 agencies;
population 1,108,000:
Under 18
Total all ages
IDAHO: 88 agencies;
population 979,000:
Under 18
Total all ages
11,848
149,889
3,512
21,808
51,127
239,721
14,086
147,105
232,783
1,843,613
49,988
240,980
23,857
179,559
6,083
41,663
5,344
55,688
52,598
493,396
16,511
63,879
16,394
49,966
4,409
22,300
1,346
3,563
19,782
59,585
5,540
21,671
105,029
437,930
17,147
47,048
8,303
41,348
2,181
7,986
2,151
11,494
29,634
130,395
4,897
12,593
6,092
11,579
447
5,058
84
829
1,878
9,448
554
4,608
19,780
142,921
1,480
8,737
982
8,257
343
1,987
737
4,315
5,434
35,604
281
1,503
510
2,043
3,962
17,242
1,262
2,734
1 7,904
50,137
4,986
17,063
85,249
295,009
15,667
38,311
7,321
33,091
1,838
5,999
1,414
7,179
24,200
94,791
4,616
11,090
5,582
9,536
18
299
19
200
32
258
657
3,825
22
152
19
132
6
31
67
295
147
924
6
47
1
26
38
347
67
364
37
392
618
4,705
95
600
44
385
45
231
20
129
231
1,605
32
216
3
84
155
938
433
1,641
155
735
7,632
31,403
225
840
320
1,885
91
396
192
1,416
1.926
9,089
103
401
22
59
236
3,474
69
720
1,359
7,243
330
3,223
10,873
102,988
1,138
7,145
599
5,855
201
1,329
458
2,475
3,130
23,986
140
839
484
1,874
666
2.696
433
709
3,545
7,857
1,289
3,378
22,925
77,527
1,973
4,355
1,402
5,771
403
1,125
102
1,064
6,000
21,407
724
1,578
991
1,825
3,017
13,581
658
1,597
12,582
39,289
3,350
12,939
42,855
167,331
12,115
31,133
4,782
24,563
1.285
4.543
247
3,236
14,804
63,770
3,191
8,048
4,263
7,265
263
888
160
308
1,494
2,577
310
621
18,359
47,988
1,359
2,505
1,064
2,512
139
302
1,063
2,844
3,251
9,153
681
1,419
287
394
See footnotes at end of table.
231
Table 63.— Arrests by State, Crime Index Offenses, 1990— Continued
State
Tola]'
all
classes
Crime^
Index
total
Violent'
crime
Property*
crime
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggravated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
ILLINOIS: 516 agencies;
population 7,683,000:
Under 18
Total all ages
INDIANA: 116 agencies;
population 3,169,000:
Under 18
Total all ages
IOWA: 200 agencies;
population 2,498,000:
Under 18
Total all ages
KANSAS: 123 agencies;
population 1,447,000:
Under 18
Total all ages
KENTUCKY: 283 agencies;
population 2,103,000:
Under 18
Total all ages
LOUISIANA: 82 agencies;
population 2,475,000:
Under 18
Total aU ages
MAINE: 154 agencies;
population 1,223,000:
Under 18
Total all ages
MARYLAND: 144 agencies;
population 4,647,000:
Under 18
Total all ages
MASSACHUSETTS: 158
agencies; population
2,635,000:
Under 18
Total all ages
MICHIGAN: 468 agencies;
population 8,529,000:
Under 18
Total all ages
MINNESOTA: 288 agencies;
population 4,003,000:
Under 18
Total all ages
MISSISSIPPI: 69 agencies;
population 1,044,000:
Under 18
Total all ages
MISSOURI: 179 agencies;
population 3,556,000:
Under 18
Total all ages
MONTANA: 59 agencies;
population 624,000:
Under 18
Total all ages
66,998
290,912
34,802
148.989
19,347
105,782
15,291
80,501
8,612
137,548
20,333
130,408
8,548
53,061
36,767
260,265
10,216
88,132
58,353
413,425
40,083
152,140
8,543
70,659
35,645
256,172
6,286
24,572
22,562
66,159
11,192
29,160
7,035
23,380
5,891
15,717
3,380
17,523
8,201
34,173
3,773
10,377
17,083
59,758
4,119
22,103
23,712
83,947
15,197
33,691
3,410
13,977
13,152
53,758
1,996
5,384
2,110
10,520
1,392
6,059
442
2,379
493
6,482
1,213
9,158
123
1,189
2,706
13,396
971
6,977
3,655
23,365
1,092
4,324
333
2,311
2,115
13,988
50
395
20,452
55,639
9,800
23,101
429 6,606
4,533 18,847
5,449
13,338
2,887
11,041
6,988
25,015
3,650
9,188
14,377
46,362
3,148
15,126
20,057
60,582
14,105
29,367
3,077
11,666
11,037
39,770
1,946
4,989
47
273
20
174
3
44
14
66
11
206
37
326
79
575
2
48
225
1,932
5
84
10
123
90
478
1
33
189
938
63
250
18
103
23
165
38
352
71
485
10
92
164
1,007
37
428
360
2,221
41
370
40
222
141
748
7
54
492
1,662
167
689
76
375
86
329
112
730
191
1,167
27
139
846
3,914
189
1,070
976
5,532
173
575
120
530
643
2,886
20
45
1,382
7,647
1,142
4,946
332
4,011
319
1,819
332
5,194
914
7,180
85
930
1,617
7,900
743
5,431
2,094
13,680
873
3,295
163
1,436
1,241
9,876
22
263
3,068
7,119
1,324
2,917
1,144
2,914
1,259
2,616
757
2,728
1,715
5,566
893
1,952
2,657
10,504
962
3,928
3.321
11,493
1,526
3,713
789
2,446
1,982
6,803
208
582
16,334
46,346
7,340
18,118
4,894
14,980
3,672
9,767
1,764
7,266
4,777
18,141
2,452
6,596
7,690
28,247
1,490
9,390
14,758
44,280
10,812
22,697
1,963
8.410
7,343
29,231
1,573
4,087
840
1,750
1,058
1,902
432
696
410
792
301
877
442
1,121
224
516
3,707
7,057
648
1,667
1,768
4,089
1,620
2,696
309
728
1,597
3,389
142
268
See footnotes at end of table.
232
Table 63.— Arrests by Sute, Crime Index Offenses, 1990— Continued
Suit
Total'
aU
classes
Crime^
Index
total
Violent'
crime
Property*
crime
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggravated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
NEBRASKA: 222 agencies;
population 1,459,000:
Under 18
Total all ages
NEVADA: 22 agencies;
population 1,016,000:
Under 18
Total all ages
NEW HAMPSHIRE'
NEW JERSEY: 543
agencies; population
7,451,000:
Under 18
Total all ages
NEW MEXICO: 51
agencies; population 991,000:
Under 18
Total all ages
NEW YORK: 568 agencies;
population 15,883,000:
Under 18
Total all ages
NORTH CAROUNA:
agencies; population
6,113,000:
Under 18
Total all ages
383
NORTH DAKOTA: 27
agencies; population 379,000:
Under 18
Total all ages
OHIO: 284 agencies;
population 6,983,000:
Under 18
Total all ages
OKLAHOMA: 279 agencies;
population 3,144.000:
Under 18
Total all ages
OREGON: 191 agencies;
population 2,792,000:
Under 18
Total all ages
PENNSYLVANIA: 602
agencies: population
5,762,000:
Under 18
Total all ages
RHODE ISLAND: 42
agencies; population 983,000:
Under 18
Total all ages
See footnotes at end of table.
13,944
75,644
12,285
90,473
87,290
397,625
12,736
71,741
130,958
1,030,108
36,268
408,139
5,562
20,102
66,923
378,713
26,193
153,879
32,533
147,453
44,654
201,497
9,586
49,376
5,122
13,548
3,609
14,495
24,447
82,190
4,976
14,694
44,405
195,847
14,566
78,721
1,799
3,704
19,533
64,420
11,680
29,546
11,833
34,863
12,328
36,362
2,882
9,693
197
1,288
234
2,296
5,119
22,101
449
2,590
14,715
70,084
2,344
24,126
38
222
2,215
13,953
1,201
5,550
697
4,141
1,247
6,851
417
2,389
4,925
12,260
3,375
12,199
19,328
60,089
4,527
12,104
29,690
125,763
12,222
54,595
1,761
3,482
17,318
50,467
10,479
23,996
11,136
30,722
11,081
29,511
2,465
7,304
15
116
47
359
49
296
1,781
68
717
39
515
25
267
11
108
5
124
2
40
31
216
30
214
211
1,218
13
112
291
2,230
103
802
7
39
256
1,325
HI
548
66
451
98
602
14
111
65
259
59
642
1,966
6,288
66
319
9,416
32,481
435
2,815
829
4,265
302
945
276
1,298
255
1,049
104
387
96
776
130
1,324
2,895
14,236
362
2,110
4,712
33,592
1,738
19,792
24
160
1,091
7,848
763
3,790
344
2,284
889
5,076
297
1,851
601
1,347
795
2,698
4,267
11,669
600
1,518
4,893
21,648
3,553
15,316
146
395
3,075
8,241
2,261
5,154
1,851
4,509
2,596
6,343
538
1,587
4,051
10,307
2,382
8,919
12,872
44,453
3,707
10,087
19,083
85,144
7,748
36,338
1,469
2,842
11,546
37,327
6,015
1 5,448
7,882
23,072
7.098
20,328
1,544
4,843
212
475
185
522
1,891
3,339
194
451
5,353
17,981
783
2,411
129
222
2,444
4,297
2,008
3,023
1.161
2,761
1,243
2.444
321
775
233
Table 63.— Arrests by State, Crime Index Offenses, 1990 — Continued
State
Total'
aU
classes
Crime^
Index
total
Violent'
crime
Property*
crime
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggravated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
SOUTH CAROUNA: 156
agencies; population
3,343,000:
Under 18
Total all ages
SOUTH DAKOTA: 65
agencies; population 391,000:
Under 18
Total all ages
TENNESSEE: 116 agencies;
population 2,047,000;
Under 18
Total all ages
TEXAS: 751 agencies;
population 16,391,000:
Under 18
Total all ages
UTAH: 89 agencies;
population 1,456,000:
Under 18
Total all ages
VERMONT: 15 agencies;
population 321,000:
Under 18
Total all ages
VIRGINIA: 396 agencies;
population 5,954,000:
Under 18
Total all ages
WASHINGTON: 164
agencies; population
3,842,000:
Under 18
Total all ages
WEST VIRGINU: 287
agencies; population
1,563,000:
Under 18
Total all ages
WISCONSIN: 288 agencies;
population 4,887,000:
Under 18
Total all ages
WYOMING: 68 agencies;
population 434,000:
Under 18
Total all ages
19,527
183,870
6,059
21,749
21,212
138,676
154,844
969,812
31,332
91,014
739
6,433
38,980
402,142
37,900
219,679
6,445
60,736
99,529
367,006
5,088
24,383
8,178
32,776
1,616
3,453
5,799
24,519
58,009
200,975
13,111
24,614
355
1,398
13,550
60,130
17,855
49,049
2,402
9,928
28,667
63,139
1,441
3,558
931
7,775
53
330
670
4,843
6,138
35,449
748
2,309
21
200
1,163
9,755
1,187
6,233
137
1,469
1,695
7,586
67
555
7,247
25,001
1,563
3,123
5,129
19,676
51,871
165,526
12,363
22,305
334
1,198
12,387
50,375
16,668
42,816
2,265
8,459
26,972
55,553
1,374
3,003
29
384
39
281
261
1,729
4
43
64
505
18
145
7
95
68
370
90
701
7
41
94
447
298
2,542
46
169
1
22
100
901
159
874
19
178
139
637
5
42
177
1,157
4
16
198
1,227
2,069
8,798
84
349
381
2,273
241
1,026
24
246
622
1,928
27
635
5,533
41
265
339
2,888
3,510
22,380
614
1,748
18
165
618
6,076
769
4.188
87
950
866
4,651
53
475
1,934
5,716
247
490
1,127
3,528
11,251
31,118
1,422
2,396
140
434
2,327
7,958
2,765
5,955
544
1,659
3,301
6,560
145
380
4,599
17,756
1,237
2,486
3,667
15,276
33,759
117,873
9,972
18,521
166
683
8,045
38,082
12,382
34,393
1,465
6,153
20,289
43.615
1,144
2,439
677
1,324
51
110
309
705
6,532
15,458
852
1,234
26
51
1,860
3,879
1,400
2,225
229
545
3,074
4,898
68
149
'Does not include trafTic arrests.
^Includes arson.
'Violent crime includes offenses of murder, forcible rape, robbery, and aggravated assault.
'Property crime includes offenses of burglary, larceny-theft, motor vehicle theft, and arson.
'Arrest data for 1990 were not available for the States of Georgia and New Hampshire. See page 173 for details.
NOTE: Direct comparisons of arrest totals listed in this table should not be made with prior years' issues.
234
Table 64.— Police Disposition of Juvenile Offenders Taken into Custody, 1990
[1990 population)
Population group
Total'
Handled
within
department
and released
Referred to
juvenile
court
jurisdiction
Referred to
welfare
agency
Referred to
other police
agency
Referred to
criminal or
adult court
TOTAL ALL AGENCIES: 7,4«1 agencies; population 138,848,000:
Nnmber
Percent'
TOTAL CITIES: S,176 cities; population 94,337,000:
Number
Percent'
Grolip 1
34 cities, 250,000 and over, population 20,057,000:
Number
Percent'
Groi/p II
89 cities, 100,000 to 249,999; population 12,654,000:
Number
Percent'
Group III
246 cities, 50,000 to 99,999; population 16,735,000:
Number
Percent'
Group IV
456 cities, 25,000 to 49,999; population 15,893,000:
Number
Percent'
Group V
1.022 cities, 10,000 to 24.999; population 16,270,000:
Number
Percent'
Group VI
3,329 cities under 10,000; population 12,728,000:
Number
Percent'
Suburban Counties
706 agencies; population 26,983,000:
Number
Percent'
Rural Counties
1,579 agencies; population 17,528,000:
Number
Percent'
Suburban Area'
3.672 agencies; population 69,631,000:
Number
Percent'
,114,310
100.0
948,413
100.0
196,055
100.0
119,400
100.0
173,374
100.0
160,579
100.0
167,955
100.0
131,050
100.0
111,503
100.0
54.394
100.0
507,498
100.0
315,316
28.3
718,188
64.5
17,955
1.6
278,577
29.4
604,558
63.7
14,291
1.5
49.548
25.3
37,043
31.0
57,914
33.4
49,939
31.1
48,999
29.2
35,134
26.8
25,236
22.6
11,503
21.1
164,941
32.5
142,232
72.5
76,922
64.4
100,130
57.8
100.470
62.6
104,230
62.1
80,574
61.5
77,391
69.4
36,239
66.6
299,697
59.1
1,307
.7
2,191
l.g
3,584
2.1
2,178
1.4
2,929
1.7
2,102
1.6
1,692
1.5
1.972
3.6
7,509
1.5
12,401
10,141
1.1
1,788
.9
780
.7
2,456
1.4
1,951
1.2
1.942
1.2
1,224
.9
1.336
1.2
924
1.7
6.039
1.2
' Includes all offenses except traffic and neglect cases.
' Because of rounding, the percentages may not add to total.
' Includes suburban city and county law enforcement agencies within metropolitan areas. Excludes central cities.
Suburban cities and counties are included in other groups.
235
Slaiu ^nfovtvmmt (Sioht of iEtl|trB
Kb a ?iam lEnfnrr^mf itt ®f firrr, my funJ^menuNui^ u u
stmt manhina; to iafequara tiuti ana property; to protect the innocent against
Jtception, Ike weak aaainit oppression or tnlimiaalion, and lite peaceful
aaainst violence or disorder; and to respect the L^onslitulionat rights of all
men to tioert^, etfuatit^ and justice.
lain cou ra-
it tUtli beep mu private life unsullied as an example to all; mainla
atous calm in Ike face of danaer, Scorn, or ridicule; develop self -restraint; and
be constanllu mindful of Ine welfare of otkers. ^J^onesl in Ikouqhl and deed
in oolk mu personal and Off iciat life, ^ wilt be exemplary in ooe^inq Ike laws
Of Ike land and ike reaulations of mu department. VUkatever Jf see or kear of
a confidential nature or tkat is confided to me in my official capacity will he
kepi ever secret unless revelation is necessary in tke performance of m^ dul^.
11 Ultll never act officiouslu or permit personal feelings, prejudices, animos-
ities or frienaskips to influence mu decisions. lA/itk no compromise for crime
and witk relentless prosecution of criminals, jf will enforce Ike law courteously
and approprialelu witkout fear or j-avor, malice or ill wilt, never emploifinq
unnecessary force or violenct and never accepting gratuities.
It rPrO0tllZP tke bad^e of'inu office as a si^mbol of public failk, and
jf accept it as a public trust to be keld so lonq as jf am true to Ike elkics of
tke police service, .jf will constanllu strive to ackieve Ikese objectives and ideals,
dedicating mu self before \-fod to mu ckosen profession . . . law enforcement.
236
SECTION V
LAW ENFORCEMENT PERSONNEL
The Nation's law enforcement community employed an
average of 2.2 full-time ofiicers for every 1,000 inhabitants
as of October 31, 1990. Considering full-time civilians, the
overall law enforcement employee rate was 3.1 per 1,000
inhabitants according to 12,401 city, county, and state
police agencies reporting in 1990. These agencies collec-
tively offered law enforcement service to a population of
over 233 million, employing 523,262 officers and 190,998
civilians.
Varying demographic and other jurisdictional character-
istics greatly affect the requirements for law enforcement
service from one locale to another. The needs of a
community having a highly mobile or seasonal population,
for example, may be very different from those of a city
whose population is relatively stable. Similarly, a small
community situated between two large cities may require a
greater number of law enforcement personnel than a
community of the same size which has no urban centers
nearby.
The functions of law enforcement are also significantly
diverse throughout the Nation. In certain areas, sheriffs'
responsibilities are limited almost exclusively to civil
functions and/or the administration of the county jail
facilities. Likewise, the responsibilities of state police and
highway patrol agencies vary from one jurisdiction to
another.
In view of these differing service requirements and
responsibilities, care should be used when attempting any
comparison of law enforcement employee rates. The rates
presented in the following tables represent national aver-
ages; they should be viewed as guides or indicators, not as
recommended or desirable police strengths. Adequate
personnel for a specific locale can be determined only after
careful study and analysis of the various conditions affect-
ing service requirements in that jurisdiction.
The law enforcement employee average for all cities
nationwide in 1990 was 2.8 per 1,000 inhabitants. By
population grouping, city law enforcement employee aver-
ages were lowest in those with populations from 25,000 to
49,999, 2.2 per 1,000 inhabitants. The Nation's smallest
cities, those with fewer than 10,000 inhabitants, employed
3.2 employees per 1 ,000 population, while for the largest
cities (over 250,000 population) the rate was 3.7 per 1,000.
Rural and suburban counties averaged full-time law
enforcement employee rates of 3.8 and 3.4 per 1,000
population, respectively.
Regionally, the highest law enforcement employee rate
was in the South with 3.1. The Northeast averaged 3.0; the
Midwest, 2.6; and the West, 2.5.
Sworn Personnel
Rates based solely on sworn law enforcement personnel
(excluding civilians) showed the national average for all
cities was 2.2 officers per 1,000 inhabitants. By population
grouping, the rates ranged from 1.7 for cities with popula-
tions of 25,000 to 99,999 to 2.8 in cities with 250,000 or
more inhabitants. Suburban county law enforcement agen-
cies averaged 2.2 officers per 1,000 population, while
agencies in rural counties averaged 2.6.
Geographically, the highest rate of officers to population
was recorded in the Northeastern and Southern States
where there were 2.4 officers per 1,000 inhabitants. Fol-
lowing were the Midwestern States with 2.1 and the
Western States with 1.8.
Males comprised 91 percent of all sworn employees
nationally. Ninety-four percent of the officers in rural
counties, 92 percent of those in cities, and 89 percent of
those in suburban counties were males.
Civilian Employees
Civilians made up 27 percent of the total United States
law enforcement employee force in 1 990. They represented
22 percent of the police employees in cities, 33 percent of
those in rural counties, and 34 percent of the suburban
county law enforcement strength.
Law Enforcement Officers Killed and Assaulted
Sixty-five law enforcement officers were feloniously
slain in the line of duty during 1990. The 1990 total was
the lowest since the FBI started collecting such data in the
1960s. Accidents occurring while performing official duties
claimed the lives of an additional 67 officers in 1990.
Extensive data on line-of-duty deaths and assaults on
city, county, state, and Federal officers can be found in the
Uniform Crime Reporting publication, Law Enforcement
Officers Killed and Assaulted.
237
Table 65. — Full-time Law Enforcement Employees', Number and Rate per 1,000 Inhabitants, Geographic Region and Division by Population Group,
October 31, 1990
[1990 population]
Geographic region/division
Total
(9,507 cities;
population
156,000,000)
Population group
Group 1
(62 cities,
250,000
and over;
population
43,660,000)
Group II
(127 cities,
100,000 to
249,999;
population
18,633,000)
Group III
(321 cities,
50,000 to
99,999;
population
21,936,000)
Group IV
(661 cities,
25,000 to
49.999;
population
22,848,000)
Group V
(1,614 cities,
10,000 to
24,999;
population
25,396,000)
Group VI
(6,722 cities
under
10,000;
population
23,526,000)
TOTAL: 9,507 cities; population 156,000,000:
Number of employees
Average number of employees per 1,000 inhabitants
New England: 663 cities; population 11,073,000:
Number of employees
Average number of employees per 1 ,000 inhabitants .
Middle Atlantic: 1,801 cities; population 29,391,000:
Number of employees
Average number of employees per 1,000 inhabitants .
Northeast 2,464 cities; population 40,464,000:
Number of employees
Average nimiber of employees per 1,000 inhabitants ...
East North Central: 1,782 cities; population 28,337,000:
Number of employees
Average number of employees per 1,000 inhabitants .
West North Central: 784 cities; population 10,634,000:
Number of employees
Average number of employees per 1 ,000 inhabitants .
Midwest: 2,566 cities; population 38,970,000:
Number of employees
Average number of employees per 1,000 inhabitants . . .
South Atlantic: 1,548 cities; population 17,913,000:
Number of employees
Average number of employees per 1 ,000 inhabitants .
East South Central: 712 cities; population 7,647,000:
Number of employees
Average number of employees per 1 ,000 inhabitants .
West South Central: 980 cities; population 17,195,000:
Number of employees
Average number of employees per 1 ,000 inhabitants .
Soutii: 3,240 cities; population 42,754,000:
Number of employees
Average number of employees per 1,000 inhabitants . . .
Mountain: 511 cities; population 9,268,0(X):
Number of employees
Average number of employees per 1,000 inhabitants .
Pacific: 726 cities; population 24,544.000:
Number of employees
Average number of employees per 1,000 inhabitants .
West 1,237 cities; population 33,812,000:
Number of employees
Average number of employees per 1,000 Inhabitants . . .
438,799
2.8
28,058
2.5
92,979
3.2
121,037
3.0
76,786
2.7
24,218
2.3
101,004
2.6
66,435
3.7
21,903
2.9
45,557
2.6
133,895
3.1
23.472
2.5
59,391
2.4
82,863
2.5
161,127
3.7
2,662
4.6
47,570
4.8
50,232
4.8
29,553
4.4
6,953
3.3
36,506
4.1
18,081
4.5
4,858
3.0
17,503
2.8
40,442
3.4
9,378
2.7
24,569
2.8
33,947
2.8
45,542
2.4
49,432
2J
50,440
2.2
3,553
3.4
4,706
3.2
8,259
3J
5,442
2.3
2,539
2.1
7,981
2.2
9,329
3.0
3,331
2.6
4,679
2.2
17,339
2.7
2,783
2.3
9,180
1.9
11,963
2.0
5,674
2.4
7,226
2.4
12,900
2.4
8,611
2.1
2,201
1.6
10,812
1.9
8,092
3.3
800
2.6
5,252
2.3
14,144
2.8
2,748
1.8
8,828
2.0
11,576
1.9
5,580
2.2
9.918
2^4
15,498
2J
9,419
1.9
2,804
1.7
12,223
1.9
7,323
3.0
2,685
2.5
3,460
2.1
13,468
2.6
2,324
2.2
6,927
2.0
9,251
2.1
57,157
2.3
6,103
2.1
11,885
2.1
17,988
2.1
11,659
2.1
4,352
2.0
16,011
2.0
8,034
3.2
3,976
2.6
5,641
2.3
17,651
2.7
1,978
2.3
3,529
2.2
5,507
2.2
75,101
3.2
4,486
2.6
11,674
2.2
16,160
23
12,102
2.7
5,369
2.5
17,471
2.7
15,576
4.8
6,253
3.5
9,022
3.8
30,851
4.1
4,261
3.6
6,358
4.6
10,619
4.1
Suburban and County
Suburban': 5,663 agencies; population 95,169,000:
Number of employees
Average number of employees per 1,000 inhabitants
281,430
3.0
County: 2,894 agencies; population 77,212,000:
Number of employees
Average number of employees per 1,000 inhabitants
275,461
3.6
'Includes civilians.
'Includes suburban city and county law enforcement agencies within metropolitan areas. Excludes central cities. Suburban cities and counties are also mcluded in other groups. Population
figures were rounded to the nearest thousand. All rates were calculated before rounding.
238
Table 66. — FuU-time Law Enforcement Officers, Number and Rate per 1,000 Inhabitants, Geographic Region and Division by Population Group,
October 31, 1990
[1990 population]
Geographic regioo/division
Total
(9,507 cities;
population
156,000,000)
Population group
Group I
(62 cities,
250,000
and over,
population
43,660,000)
Group 11
(127 cities,
100,000 to
249,999;
population
18,633,000)
Group 111
(321 cities,
50,000 to
99,999;
population
21,936,000)
Group IV
(661 cities,
25,000 to
49,999;
population
22,848,000)
Group V
(1,614 cities,
10,000 to
24,999;
population
25.396,000)
Group VI
(6,722 cities
under
10,000;
population
23,526,000)
TOTAL: 9,507 cities; popularion 156.000,000:
Niunber of officers
Average number of officers per 1,000 inhabitants
New England: 663 cities; population 11,073,0(X):
Number of olTicers
Average number of ofTicers per 1 ,000 inhabitants
Middle Atlantic: 1,801 cities; population 29,391.000:
Number of ofTicers
Average number of ofTicers per 1 ,000 inhabitants
Northeast: 2,464 cities; population 40,464,000:
Number of officers
Average number of officers per 1,000 inhabitants
East North Central: 1,782 cities; population 28,337.000:
Number of officers
Average number of officers per 1 ,000 inhabitants
West North Central: 784 cities; population 10.634,000:
Number of officers
Average number of officers per 1 ,000 itihabitants
Midwest 2,566 dties; population 38,970,000:
Number of officers
Average number of officers per 1,000 inhabitants
South Atlantic: 1,548 cities; population 17,913,000:
Number of officers
Average number of officers per 1,000 inhabitants
East South Central: 712 cities; population 7,647.000:
Number of officers
Average number of officers per 1 .000 inhabitants
West South Central: 980 cities; population 17.195.000:
Number of officers
Average number of officers per 1 ,000 inhabitants
South: 3,240 cities; population 42.754,000:
Number of officers
Average number of officers per 1,000 inhabitants
Mountain: 5 1 1 cities; population 9.268.000:
Number of officers
Average number of officers per 1 ,000 inhabitants
Pacific: 726 cities; population 24,544.000:
Number of officers
Average number of officers per 1 ,000 inhabitants
West 1,237 cities; population 33,812,000:
Number of officers
Average number of officers per 1,000 inhabitants
341,387
2.2
23,333
2.1
75.181
2.6
98,514
2.4
61.813
2.2
18.840
1.8
80,653
2.1
51.539
2.9
16.937
2.2
34,277
2.0
102,753
2.4
17,107
1.8
42,360
1.7
59,467
1.8
124,390
2.8
1.979
3.4
36.741
3.7
38,720
3.7
24.155
3.6
5.125
2.4
29,280
3.3
14.384
3.5
3.745
2.3
13,237
2.1
31,366
2.6
6.796
2.0
18.228
2.1
25,024
2.0
34,773
1.9
38,115
1.7
39,783
1.7
2.938
2.8
4.015
2.7
6,953
2.7
4.419
1.8
1.921
1.6
6,340
1.7
7.007
2.2
2.498
1.9
3.722
1.8
13,227
2.0
2,011
1.7
6.242
1.3
8,253
1.4
4.873
2.1
6.065
2.0
10,938
2.0
6.882
1.6
1,772
1.3
8.654
1.6
5.995
2.4
630
2.0
3.943
1.7
10,568
2.1
2.014
1.3
5.941
1.3
7,955
1.3
4.825
1.9
8.310
2.0
13,135
2.0
7.411
1.5
2,187
1.3
9,598
1.5
5.682
2.3
2,089
2.0
2,635
1.6
10,406
2.0
1.719
1.6
4.925
1.4
6,644
1.5
46,000
1.8
5.158
1.8
10.198
1.8
15356
1.8
9.330
1.6
3.449
1.6
12,779
1.6
6.253
2.5
.3.186
2.1
4.404
1.8
13,843
2.1
1.447
1.7
2.575
1.6
4,022
1.6
58,326
2S
3,560
2.1
9,852
1.9
13,412
1.9
9,616
2.2
4,386
2.1
14,002
2.1
12,218
3.7
4.789
2.7
6,336
2.7
23,343
3.1
3.120
2.6
4.449
3.2
7,569
2.9
Suburban and County
Suburban': 5.663 agencies; population 95.169.000:
Number of officers
Average number of officers per 1 ,000 inhabitants
200.612
2.1
County: 2.894 agencies; population 77,212.000:
Number of officers
Average number of officers per 1,000 inhabitants
181.875
2.4
'Includes suburban city and county law enforcement agencies within metropohtan areas. Excludes central cities. Suburban cities and counties are also included in other groups. Population
figures were rounded to the nearest thousand. All rates were calculated before rounding.
239
Table 67. — Full-time Law Enforcement Employees, October 31, 1990
(Range in rate per 1,000 inhabitants)
Rate range
Total'
(9,018 cities;
population
1 56,000,000)
Group 1 (62
cities, 250.000
and over;
population
43,660,000)
Group 11 (127
cities, 100,000
to 249,999;
population
18,633,000)
Group 111 (321
cities, 50,000
to 99,999;
population
21,936,000)
Group IV (661
cities, 25,000
to 49,999;
population
22,848,000)
Group V (1,614
cities, 10,000
to 24,999;
population
25.396,000)
Group VI
(6,233 cities
under 10,000;
population
23,526,000)
.1-.5
Number
Percent
148
1.6
1
.3
.2
9
.6
137
2.2
6-1 0
Number
Percent
538
6.0
4
1.2
16
2.4
65
4.0
453
7.3
1 1-1 5
Number
Percent
Number
Percent
1,141
12.7
1,887
20.9
6
4.7
43
33.9
32
10.0
116
36.1
89
13.5
216
32.7
173
10.7
443
27.4
841
13.5
1.6-2.0
10
16.1
1,059
17.0
2.1-2.5
Number
Percent
1,743
19.3
12
19.4
33
26.0
85
26.5
180
27.2
453
28.1
980
15.7
2.6-3.0
Number
Percent
1,240
13.7
12
19.4
22
17.3
47
14.6
90
13.6
245
15.2
824
13.2
3.1-3.5
Number
Percent
776
8.6
11
17.7
15
11.8
18
5.6
33
5.0
124
7.7
575
9.2
3.6-4.0
Number
Percent
456
5.1
5
8.1
3
2.4
8
2.5
20
3.0
58
3.6
362
5.8
4.1-4.5
Number
Percent
283
3.1
3
4.8
3
2.4
4
1.2
8
1.2
24
1.5
241
3.9
4.6-5.0
Number
Percent
231
2.6
6
9.7
2
1.6
5
1.6
5
.8
7
.4
206
3.3
5.1 and over
Number
Percent
575
6.4
3
4.8
1
.3
3
.5
13
.8
555
8.9
Total
Percent^
9,018
100.0
62
100.0
127
100.0
321
100.0
661
100.0
1,614
100.0
6,233
100.0
'The number of agencies used to compile these figures differs from the other Law Enforcement Employee tables because small agencies with no resident population are excluded from this
e.
'Because of rounding, percentages may not add to totals.
240
Table 68.— Law Enforcement Officers, October 31, 1990
[Range in rate per 1,000 inhabitants]
Rate range
Total'
(9.018 cities;
population
156,000,000)
Group I (62
cities. 250,000
and over;
population
43,660,000)
Group II (127
cities, 100.000
to 249,999;
population
18,633,000)
Group III (321
cities, 50,000
to 99,999;
population
21,936,000)
Group IV (661
cities, 25,000
to 49,999;
population
22,848,000)
Group V (1,614
cities, 10,000
to 24,999;
population
25,396,000)
Group VI
(6.233 cities
under 10,000;
population
23,526,000)
.I-.5
Number
Percent
171
1.9
1
.3
4
.6
14
.9
152
2.4
6-1 0
Number
Percent
747
8.3
3
2.4
17
5.3
47
7.1
106
6.6
574
92
1.I-I.5
Number
Percent
2,115
23.5
10
16,1
46
36.2
127
39.6
231
34.9
466
28.9
1,235
19.8
1.6-2.0
Number
Percent
2,406
26.7
19
30.6
43
33.9
101
31.5
220
33.3
545
33.8
1,478
23.7
2.1-2.3
Number
Percent
1,463
16.2
11
17.7
16
12.6
46
14.3
103
15.6
294
18.2
993
15.9
2.6-3.0
Number
Percent
824
9.1
9
14.5
13
10.2
18
5.6
38
5.7
120
7.4
626
10.0
3.1-3.5
Number
Percent
456
5.1
4
6.5
5
3.9
9
2.8
12
1.8
47
2.9
379
6.1
3.6-4.0
Number
Percent
263
2.9
5
8.1
1
.8
I
.3
4
.6
13
,8
239
3.8
4.1-4.5
Number
Percent
147
1.6
3
4.8
1
.3
1
.2
4
.2
138
2.2
4.6-5.0
Number
Percent
Number
Percent
109
1.2
317
3.5
9,018
100.0
-
5
.3
104
1 7
5.1 and over
I
1.6
62
100.0
1
.2
661
lOO.O
315
5 1
Total
Percent'
127
100.0
321
100.0
1,614
100.0
6,233
100.0
'The number of agencies used to compile these figures differs from the other Law Enforcement Officer tables because small agencies with no resident population are excluded from this table.
'Because of rounding, percentages may not add to totals.
241
Table 69. — Law Enforcement Employees, Percent Male and Female, October 31, 1990
[1990 population]
Population group
Total police employees
Total
Percent
male
Percent
female
Police officers (sworn)
Total
Percent
male
Percent
female
Civilian employees
Total
Percent
male
Percent
female
TOTAL AGENCIES: 12,401 agencies;
popaUtioii 233,212.000;
TOTAL CITIES: 9,507 ddes;
population 156,000,000:
714,2«0
438,799
76.4
77.8
23.6
22.2
523,262
341387
91.4
91.7
8.6
8J
190,998
97,412
35.4
29.0
64.6
71.0
GROUP 1
62 cities, 250,000 and over,
population 43.660.000:
7 cities, 1.000,000 and over,
population 18,843,000:
16 cities, 500,000 to 999,999;
population 10,840,000:
39 cities, 250,000 to 499,999;
population 13,977,000:
GROUP II
127 cities, 100,000 to 249,999;
population 18,633,000:
GROUP III
321 cities, 50,000 to 99.999;
population 2 1 ,936,000:
GROUP IV
661 cities, 25,000 to 49,999;
population 22,848,000:
GROUP V
1,614 cities, 10,000 to 24,999;
population 25,396,000:
GROUP VI
6,722 cities under 10,000;
population 23,526,000:
SUBURBAN COUNTIES
679 agencies; population 47,300,000: .
RURAL COUNTIES
2j2^agenci2^population29^1L000:
161,127
84,607
36,738
39,782
45,542
49,432
50,440
57,157
75,101
160,890
JJ4j571_
74.4
73.1
77.0
74.9
76.3
78.3
81.5
81.2
72.9
76.1
25.6
26.9
23.0
25.1
23.7
21.7
18.5
18.8
27.1
23.9
124,390
65,283
28,629
30,478
34,773
38,115
39,783
46,000
58,326
105,412
76,463
87.4
86.2
88.7
88.9
91.8
93.8
95.2
94.5
93.7
12.6
13.8
11.3
III
8.2
5.1
4.8
5.5
11.3
6.3
36,737
19,324
8,109
9,304
10,769
10,657
11,157
16,775
55,478
38,108
30.3
28.7
35.7
29.0
26.6
25.5
25.1
34.6
42.9
40.8
69.7
71.3
64.3
71.0
73.4
73.8
74.5
74.9
65.4
57.1
59.2
SUBURBAN AREA'
5,663 agencies; population 95,169,000:
281,430
76.5
23.5
200,612
91.6
8.4
80,818
39.1
60.9
'Includes suburban city and county law enforcement agencies within metropolitan areas. Excludes central cities. Suburban cities and counties are also included in other groups.
Table 70. — Civilian Law Enforcement Employees, Percent of Total, Population Group, October 31, 1990
[1990 population]
Population group
Percent
civilian
employees
Population group
Percent
civilian
employees
TOTAL AGENCIES: 12,401 agencies;
population 233,212,000:
26.7
22.2
GROUP IV
661 cities, 25,000 to 49,999;
population 22,848,000:
TOTAL CITIES: 9,507 cities;
21,1
population 156,000,000:
GROUP V
1,614 cities, 10,000 to 24,999;
population 25 396,000:
GROUP I
62 cities, 250 000 and over
22.8
22.8
22.1
23.4
23.6
22.9
19.5
population 43,660,000:
GROUP VI
6,722 cities under 10,000;
population 23 526 000"
7 cities, 1,000,000 and over,
population 1 8,843,000:
16 cities, 500,000 to 999,999;
population 10,840 000'
22.3
39 cities, 250,000 to 499,999;
population 1 3,977,000:
SUBURBAN COUNTIES
679 agencies;
DODulation 47 300 000'
GROUP II
34.5
127 cities, 100,000 to 249,999;
population 1 8,633,000:
RURAL COUNTIES
2,215 agencies;
population 29,9 1 1 ,000:
GROUP 111
33.3
321 cities, 50,000 to 99,999;
population 2 1 ,936,000:
SUBURBAN AREA'
5,663 agencies;
population 95,1 69,000:
28.7
'Includes suburban city and county law enforcement agencies within metropolitan areas. Excludes central cities. Suburban cities and counties are also included in other groups.
242
Table 71. — FuU-tiine State Law Enforcement Employees, October 31, 1990
State
Number of law enforcement employees
Total
Officers
Male
Female
Civilians
Male
Female
State
Number of law enforcement employees
Total
Officers
Male
Female
Civilians
Male
Total'
ALABAMA:
Department of Public
Safety
Other state agencies
ALASKA:
State Police
ARIZONA:
Department of Public
Safety
ARKANSAS:
State Police
CALIFORNIA:
Highway Patrol
Other state agencies
COLORADO:
Sute Patrol
CONNECTICUT:
State Police
DELAWARE:
State Police
FLORIDA:
Highway Patrol
Other state agencies
GEORGIA:
Department of Public
Safety
IDAHO:
State Police
Other state agencies
ILLINOIS:
Sute Police
Other state agencies
INDIANA:
State Police
IOWA:
Department of Public
Safety
KANSAS:
Highway Patrol
Other state agencies
KENTUCKY:
State Police
Other state agencies
LOUISIANA;
State Police
Other state agencies
MAINE:
State Police
Other state agencies
MARYLAND;
State Police
Other state agencies
MASSACHUSETTS'
MICHIGAN:
State Police
MINNESOTA:
Sute Patrol
MISSISSIPPI:
Highway Safety Patrol
MISSOURI:
Sute Highway Patrol
105,790
61,167
3,905
18,852
20,975
1,300
4,199
540
1,694
677
8,610
408
691
1,595
687
2,174
2,390
1,692
199
144
3,799
220
1,774
831
785
173
1,630
679
1,016
984
486
128
2,378
1.440
3,197
751
876
1,841
671
466
349
946
467
5,618
298
461
1,024
486
1,511
1,141
765
161
96
2,187
163
1,047
548
547
68
922
344
755
575
337
31
1,585
720
2,072
505
504
880
8
65
22
40
17
511
37
15
57
31
138
95
153
12
44
26
17
83
16
148
119
131
183
19
17
218
2,473
41
254
586
19
302
109
310
373
403
1,195
128
MONTANA:
Highway Patrol
Other state agencies
NEBRASKA:
State Patrol
NEVADA:
Highway Patrol
NEW HAMPSHIRE:
State Police
346
72
362
121
,032
1,449
25
48
80
135
229
285
69
101
173
352
394
760
NEW JERSEY:
State Patrol
Other state agencies
NEW MEXICO:
State Police
Other state agencies'
NEW YORK:
State Police
655
873
26
381
148
NORTH CAROLINA:
Highway Patrol
Other state agencies
NORTH DAKOTA;
Highway Patrol
OHIO:
State Highway Patrol
Other state agencies
OKLAHOMA:
Department of Public
Safety
Other state agencies
OREGON;
State Police
Other state agencies
PENNSYLVANIA:
State Police
98
102
41
62
361
330
156
96
67
178
13
248
77
59
51
43
364
216
RHODE ISLAND;
State Police
SOUTH CAROLINA:
Highway Patrol
SOUTH DAKOTA:
Highway Patrol
TENNESSEE:
Department of Public
Safety
TEXAS;
Department of Public
Safety
Other state agencies
UTAH;
Highway Patrol
VERMONT:
State Police
VIRGINIA:
State Police
WASHINGTON;
State Patrol
442
500
165
62
106
258
565
379
WEST VIRGINIA:
State Police
WISCONSIN;
State Patrol
Other state agencies
WYOMING:
Highway Patrol
Other state agencies'
254
45
638
420
343
4,027
11,160
492
673
4,845
1,566
1,749
182
2,240
512
1,383
483
1,104
55
5,226
220
1,208
232
1,577
5,424
2,770
378
419
2,232
1,931
777
642
166
211
218
194
35
485
274
238
2.766
4.892
350
3,880
1,233
1.101
112
1,212
447
777
296
856
36
3,911
181
988
144
785
2,806
565
317
278
1,619
905
505
424
153
152
9
2
20
9
17
71
727
253
58
49
II
37
28
6
116
8
20
2
17
19
1
54
42
33
498
3,273
260
187
223
41
445
298
27
40
566
17
51
66
96
64
709
8
1,649
8
26
10
53
43
180
34
513
10
81
58
85
6
14
' Will Dot add to total because of incomplete breakdowns.
' 1990 data were not available.
* Breakdowns were not available.
NOTE: The responsibilities of the various state police, highway patrol, and departments of public safety agencies range from full law enforcement duties to traffic patrol only. Any comparison
of these data from state to slate must take these factors and those on page v into consideration.
243
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
ALABAMA
ALABAMA— Continued
Abbeville
Adamsville
Addison
Alabaster
AlbertviUe
Alexander City
Aliceville
Andalusia
Anniston
Arab
Ardmore
Ashford
Ashland
Athens
Atmore
Attalla
Auburn
Bay Minette ...
Bayou La Batre
Bear Creek
Bessemer
Birmingham ...
Blountsville
Boaz
Brantley
Brent
Brewton
Bridgeport
Brilliant
Brookside
Brundidge
Butler
Calera
Camden
Camp Hill
Carbon Hill ...
Cedar Bluff ....
Centre
Centreville
Chatom
Cherokee
Chickasaw
Childersburg . . .
Citronelle
Clanton
Clayhatchee . . . .
Clayton
Columbiana
Coosada
Cordova
Cottonwood
Courtland
Creola
Cullman
Dadeville
Daleville
Daphne
Decatur
Demopolis
Dora
Dothan
East Brewton
Eclectic
Elba
Enterprise
Eufaula
Eutaw
Evergreen
Fairfield
Fairhope
FalkviUe
Fayette
Flint City
Flomaton
Florala
13
16
3
28
30
41
8
40
112
23
9
10
10
38
19
21
75
23
16
2
83
937
8
31
5
4
22
8
2
2
11
9
10
9
4
14
3
12
4
6
3
17
16
12
22
1
4
9
2
8
1
6
9
47
9
21
34
107
24
8
105
7
7
16
56
36
11
18
32
18
4
9
5
11
10
8
12
3
24
24
36
4
31
83
17
5
5
6
32
16
16
54
22
11
2
72
723
5
25
5
4
18
4
2
2
8
5
6
5
4
5
3
8
4
5
3
17
12
8
16
1
4
6
1
4
1
5
5
34
9
19
25
95
18
4
86
5
4
12
42
27
8
14
27
13
4
9
4
11
6
11
214
3
6
Florence
Foley
Fort Payne
Fultondale
Gadsden
Gardendale
Geneva
Georgiana
Glencoe
Goodwater
Gordo
Graysville
Greensboro
Greenville
Grove Hill
Guin
Gulf Shores . . . .
Guntersville
Gurley
Haleyville
Hamilton
HanceviUe
Hartford
Hartselle
Headland
Heflin
Helena
Hillsboro
Hokes Bluff ...
Hollywood
Homewood
Hoover
Hueytown
Huntsville
Hurtsboro
Irondale
Jackson
Jacksonville
Jasper
Jemison
Killen
Kimberly
Lafayette
Lanett
Leeds
Leighton
Level Plains ...
Lincoln
Linden
Lineville
Lipscomb
Littleville
Livingston
Luveme
Madison
Maplesville
Marion
Midfield
Midland City ..
Millbrook
Mobile
Monroeville
Montevallo
Montgomery . . .
Moody
Morris
Moulton
Moundville
Mountain Brook
Mount Vernon
Muscle Shoals
New Brockton
New Hope
Newton
Northport
93
70
25
20
35
27
15
11
122
97
23
18
14
10
7
5
4
4
10
6
4
4
4
4
8
6
29
22
6
6
4
4
27
21
33
23
4
4
14
11
13
12
11
6
12
9
22
18
12
8
10
6
10
6
3
2
5
5
3
2
61
58
99
80
24
19
402
295
4
4
24
20
18
14
25
19
58
39
2
2
5
4
3
3
14
10
28
21
27
23
5
4
3
3
8
4
6
6
8
5
8
4
7
5
12
7
13
9
36
27
4
1
14
9
17
13
9
5
14
11
549
374
22
17
12
8
545
441
14
10
2
2
11
10
8
4
55
43
3
3
28
28
5
5
3
3
6
3
40
34
244
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
Total
civilians
ALABAMA— Contiilue/'
ALASKA— Continued
Notasulga
Oneonta
Opelika
Opp
Orange Beach
Owens Cross Roads
Oxford
Ozark
Parrish
Pelham
PeU City
Phenix City
Phil Campbell
Piedmont
Pinchard
Pleasant Grove
Prattville
Priceville
Prichard
Rainbow City
RainsviUe
Red Bay
Reform
Riverside
Roanoke
Robertsdale
Russelville
Samson
Saraland
Satsuma
Scoltsboro
Selma
Sheffield
Sipsey
Slocomb
Snead
Southside
Springville
Steele
Stevenson
SuUigent
Sumiton
Summerdale
Sylacauga
Talladega
Tallassee
Tarrant City
Thomaston
Thomasville
Thorsby
Town Creek
Trinity
Troy
Trussville
Tuscaloosa
Tuscumbia
Tuskegee
Union Springs
Uniontown
Valley
Vernon
Vestavia Hills
Warrior
Weaver
West Blocton
Wetumpka
Wilmer
Wilton
Winfield
York
ALASKA
Anchorage
Bethel . . . .
9
16
88
23
1
2
37
43
2
43
22
71
4
14
1
13
49
4
58
20
12
11
4
4
21
11
22
9
27
13
40
86
29
3
4
3
8
4
2
9
4
9
2
40
54
20
22
1
13
2
6
2
52
17
230
21
40
12
8
28
5
34
9
8
3
17
8
2
8
9
372
18
5
12
75
18
13
2
30
33
2
34
18
57
4
12
I
9
39
4
46
15
8
7
4
4
17
6
18
5
26
9
30
58
25
2
4
3
4
4
2
5
4
5
2
34
40
15
17
1
9
2
5
2
40
13
174
18
32
9
4
21
5
33
6
7
2
13
4
1
242
9
130
9
Bristol Bay Brough
Cordova
Craig
Fairbanks
Haines
Homer
Juneau
Kenai
Ketchikan
Klawock
Kodiak
Kotzebue
Nome
North Pole
North Slope Borough
Palmer
Petersburg
St. Paul Island
Sand Point
Seldovia
Seward
Skagway
Soldotna
Wrangell
ARIZONA
Apache Junction
Avondale
Benson
Bisbee
Buckeye
Bullhead City ..
Camp Verde
Casa Grande . . ,
Chandler
Chino Valley
Clarkdale
Coolidge
Cottonwood
Douglas
Eagar
El Mirage
Flagstaff
Rorence
Gilbert
Glendale
Globe
Goodyear
Hayden
Holbrook
Huachuca City
Jerome
Kearny
Kingman
Lake Havasu
Mammoth
Marana
Mesa
Miami
Nogales
Oro Valley
Page
Paradise Valley
Parker
Payson
Peoria
Phoenix
Pinetop- Lakeside
Prescott
Prescoit Valley
SafTord
St. Johns
San Luis
Scottsdale
51
34
34
27
13
7
24
17
22
15
88
59
20
13
59
41
153
108
17
11
7
7
27
21
28
17
48
35
10
7
16
11
103
73
19
13
48
34
266
189
23
18
19
14
7
6
20
15
9
4
3
3
11
7
47
31
66
50
6
6
12
10
587
396
13
10
48
36
35
26
20
14
40
30
15
10
25
17
81
57
2,628
1,940
20
13
81
51
24
15
16
14
8
7
16
10
294
194
245
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officei^
ARIZONA— Continued
Sedona
Show Low
Sierra Vista
Snowflake-Taylor
Somerton
South Tucson
Springerville —
Superior
Surprise
Tempe
Thatcher
ToUeson
Tombstone
Tucson
Wickenburg
Willcox
Williams
Winslow
Youngtown
Yuma
ARKANSAS
Alma
Arkadelphia
Ashdown
Bald Knob
Barling
Beebe
Benton
Bentonville
Berryville
Blytheville
Booneville
Bradford
Brinkley
Bryant
Bull Shoals ....
Cabot
Camden
Carlisle
Clarksville
Conway
Coming
Crossett
Danville
Dardanelle
De Queen
Dermott
Des Arc
De Vails Bluff .
De Witt
Dumas
Earle
Elaine
El Dorado
England
Eudora
Eureka Springs
FayetteviUe
Fordyce
Forrest City ...
Fort Smith ....
Gravette
Greenbrier
Green Forest
Greenwood
Gurdon
Hamburg
Harrison
Hazen
Heber Springs
Helena
Hope
Horseshoe Bend
21
21
46
10
15
33
9
14
16
333
6
21
6
1,003
12
18
15
30
15
121
8
32
27
8
53
11
3
14
7
2
15
36
8
16
51
13
15
4
8
10
12
3
I
14
20
8
1
56
9
10
14
70
11
33
148
3
2
5
5
5
6
27
6
18
19
24
7
14
15
34
8
II
23
7
8
15
242
6
15
5
757
9
12
10
17
8
89
5
16
8
4
7
4
24
21
7
43
6
3
10
6
2
11
26
5
10
43
8
10
3
5
8
7
3
I
10
14
7
I
47
5
5
8
58
8
24
112
3
2
4
5
3
5
20
3
11
12
18
6
6
1
246
3
6
5
13
7
32
ARKANSAS— Continued
Hot Springs
Hoxie
Jacksonville
Johnson
Jonesboro
Judsonia
Kensetl
Lake Village
Lincoln
Little Rock
Lonoke
Lowell
Magnolia
Malvern
Marianna
Marion
Marked Tree
Maumelle
McCrory
McGehee
Mena
Monticello
Morrilton
Mountain Home
Nashville
Newport
North Little Rock
Osceola
Ozark
Paragould
Paris
Piggott
Pine Bluff
Pocahontas
Prairie Grove
Prescott
Rogers
Russellville
Searcy
Sheridan
Sherwood
Siloam Springs
Smackover
Springdale
Star City
Stuttgart
Texarkana
Trumann
Van Buren
Vilonia
Waldron
Walnut Ridge
Warren
West Fork
West Helena
West Memphis
Wynne
Yeliville
CALIFORNIA
Adelanto
Alameda
Albany
Alhambra
Alturas
Anaheim
Anderson
Angels Camp
Antioch
Arcadia
Areata
Arroyo Grande
Arvin
Alascadero
86
8
62
2
70
4
2
12
3
439
11
4
23
22
16
7
II
27
3
12
8
18
18
20
9
23
182
26
8
31
12
9
146
20
5
10
51
36
31
5
54
22
5
60
4
27
59
14
24
2
6
11
16
2
21
70
16
2
21
135
34
158
9
493
24
8
115
. 94
26
31
16
36
73
4
46
2
55
3
1
7
3
355
6
4
17
15
12
7
7
17
3
9
8
13
12
15
9
16
133
19
6
25
7
6
114
12
4
7
37
26
23
5
39
16
4
43
3
18
53
9
20
I
6
7
10
2
16
55
15
2
13
100
30
92
8
344
15
7
80
77
19
22
11
28
246
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
CALIFORNIA— ConUn lied
CALIFORNIA— Continued
Atherton
Atwater
Auburn
Azusa
Balcersfield . . . .
Baldwin Park .
Banning
Barstow
Bear Valley ...
Beaumont
Bell
Bell Gardens
Belmont
Belvedere
Benicia
Berkeley
Beverly Hills .
Biggs
Bishop
Blue Lake
Blythe
Brawley
Brea
Brentwood
Brisbane
Broadmoor
Buena Park ...
Burbank
Burlingame . . .
Calexico
California City
Calpatria
Calistoga
Campbell
Capitola
Carlsbad
Carmel
Carpinteria . . .
Cathedral City
Ceres
Chico
China Lake ...
Chino
Chowchilla
Chula Vista ...
Claremont
Clayton
Clearlake
Cloverdale
Clovis
Coachella
Coalinga
Colfax
Colma
Colton
Colusa
Compton
Concord
Corcoran
Corning
Corona
Coronado
Costa Mesa ...
Cotati
Covina
Crescent City .
Culver City ...
Cypress
Daly City
Davis
E>eIano
Del Rey Oaks
Dinuba
Dixon
Dorris
23
29
28
72
321
72
47
45
18
25
53
72
44
7
45
289
192
3
21
2
26
36
121
17
20
9
139
227
65
44
15
5
13
56
31
111
30
26
59
54
92
49
112
17
233
62
13
28
14
95
25
20
7
15
94
10
218
201
19
18
171
61
200
20
87
14
162
82
142
71
52
6
25
18
6
19
21
20
54
240
57
27
31
6
18
36
52
32
7
31
178
131
3
13
2
18
27
98
14
15
8
93
144
46
27
11
4
9
40
23
81
18
19
41
37
58
43
79
12
153
42
10
23
10
67
19
14
6
II
61
9
126
143
15
13
no
41
141
13
52
13
117
54
103
53
34
6
18
15
2
14
III
61
9
23
3
5
1
46
83
19
17
4
I
4
16
8
30
12
7
18
17
34
6
33
5
80
20
3
5
4
28
6
6
I
4
33
1
92
58
4
5
61
20
59
7
35
I
45
28
39
18
18
Dos Palos
Downey
Dunsmuir
East Palo Alto ..
El Cajon
El Centro
El Cerrito
El Monte
El Segundo
Emeryville
Escalon
Escondido
Etna
Eureka
Exeter
Fairfax
Fairfield
Farmersville
Femdale
Firebaugh
Folsom
Fontana
Fort Bragg
Fortuna
Foster City
Fountain Valley
Fowler
Fremont
Fresno
Fullerton
Gait
Gardena
Garden Grove . . .
Gilroy
Glendale
Glendora
Gonzales
Grass Valley
Greenfield
Gridley
Grover City
Guadalupe
Gustine
Half Moon Bay
Hanford
Hawthorne
Hayward
Healdsburg
Hemet
Hercules
Hermosa Beach
Hillsborough
Hollister
Holtville
Hughson
Huntington Beach
Huntington Park
Huron
Imperial
Indio
Inglewood
lone
Irvine
Irwindale
Isleton
Jackson
Kensington
Kerman
King City
Kingsburg
Laguna Beach ...
La Habra
Lakeporl
Lake Shastina ...
La Mesa
7
7
154
113
6
5
40
37
214
134
71
46
43
37
143
113
88
67
43
27
13
8
173
124
55
40
13
12
16
11
146
91
II
10
3
3
12
8
38
30
178
108
32
18
22
15
54
41
84
61
5
5
291
199
648
429
219
150
26
16
111
92
229
167
70
44
287
193
74
53
9
8
26
18
12
II
15
10
24
17
13
8
8
7
17
13
47
33
139
90
257
163
27
17
65
49
20
15
60
41
30
23
26
22
14
9
7
7
415
222
87
61
9
6
10
9
71
45
301
208
6
5
183
127
25
19
6
6
11
9
11
11
13
10
19
14
15
II
80
46
92
62
14
12
3
3
74
57
247
Table 72. — Nuinber of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued
City
Total
police
employees
Total
ofTicers
Total
civilians
City
Total
police
employees
Total
officers
CALIFORNU— Continued
CALIFORNU— Continued
La Palma
La Veme
Lemoore
Lincoln
Lindsay
Livermore
Livingston
Lodi
Lompoc
Long Beach
Los Alamitos ....
Los Altos
Los Angeles
Los Banos
Los Gatos
Madera
Mammoth Laices
Manhattan Beach
Manteca
Marina
Martinez
Marysville
Maywood
McFarland
Mendota
Menio Park
Merced
Millbrae
Mill Valley
Milpitas
Modesto
Monrovia
Montclair
Montebello
Monterey
Monterey Park
Moraga
Morgan Hill
Morro Bay
Mountain View
Mount Shasta ...
Napa
National City ....
Nevada City
Newark
Newman
Newport Beach
Novato
Oakdale
Oakland
Oceanside
Ontario
Orange
Orland
Oroville
Oxnard
Paciflca
Paciflc Grove
Palm Springs
Palo Alto
Palos Verdes Estates
Paradise
Pasadena
Paso Robles
Patterson
Perns
Petaluma
Piedmont
Pinole
Pismo Beach
Pittsburg
Placentia
Placerville
Pleasant Hill
Pleasanlon
29
53
25
20
21
102
15
105
60
981
30
43
11,190
37
69
53
18
76
69
33
56
36
35
9
15
55
108
34
30
98
273
78
72
116
73
113
13
49
23
115
15
108
107
10
77
9
229
73
27
958
267
226
232
8
37
218
58
40
131
166
34
42
353
35
20
48
82
27
35
31
75
65
25
64
101
23
38
20
14
14
62
12
69
42
641
24
28
!,381
24
43
40
15
58
47
28
43
23
25
4
10
39
74
25
22
71
191
58
50
82
54
74
12
34
17
82
9
68
77
8
53
8
152
53
19
627
178
165
155
7
25
139
44
29
84
97
23
22
222
28
16
31
55
20
23
18
61
51
20
42
70
6
15
5
6
7
40
3
36
18
340
6
15
2,809
13
26
13
3
18
22
5
13
13
10
5
5
16
34
9
8
27
82
20
22
34
19
39
1
15
6
33
6
40
30
2
24
1
77
20
8
331
89
61
77
I
12
79
14
II
47
69
II
20
131
7
4
17
27
7
12
13
14
14
5
22
31
Pomona
Porterville
Port Hueneme
Red Bluff
Redding
Redlands
Redondo Beach
Redwood City
Reedley
Rialto
Richmond
Ridgecrest
Rio Dell
Rio Vista
Ripon
Riverbank
Riverside
Rocklin
Rohnert Park
Roseville
Ross
Sacramento
St. Helena
Salinas
San Anselmo
San Bernardino
San Bruno
San Carlos
San Clemente
Sand City
San Diego
San Fernando
San Francisco
San Gabriel
Sanger
San Jacinto
San Jose
San Juan Bautista ..
San Leandro
San Luis Obispo ...
San Marino
San Mateo
San Pablo
San Rafael
Santa Ana
Santa Barbara
Santa Clara
Santa Cruz
Santa Maria
Santa Monica
Santa Paula
Santa Rosa
Sausalito
Scotts Valley
Seal Beach
Seaside
Sebastopol
Selma
Shafter
Sierra Madre
Signal Hill
Simi Valley
Soledad
Sonoma
Sonora
South Gate
South Lake Tahoe
South Pasadena
South San Francisco
Stallion Springs
Stockton
Suisun City
Sunnyvale
Susanville
Sutter Creek
288
172
62
39
29
21
30
21
158
92
94
69
171
103
112
75
31
23
138
92
263
178
54
33
6
6
7
6
18
12
17
13
425
300
38
25
72
47
99
53
8
8
903
622
16
12
180
133
23
17
357
238
55
45
49
36
69
50
3
3
2.568
1,882
49
34
2,276
1,783
65
53
36
26
44
29
1,469
1,112
4
4
135
87
78
52
25
18
149
107
56
41
103
72
569
387
218
135
180
142
108
73
94
71
312
164
38
30
189
130
37
25
24
17
58
41
49
39
19
14
32
22
23
15
20
15
42
29
153
102
13
10
21
14
17
12
126
87
75
54
48
30
103
72
3
3
427
268
36
24
177
122
15
4
6
5
248
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
ofTicers
Total
civilians
CALIFORNIA— Continued
Taft
20
19
311
58
62
3
71
113
42
31
87
111
104
195
193
64
115
106
9
65
13
158
132
5
74
6
123
7
16
10
10
9
68
20
56
23
4
159
37
3
542
8
4
3
5
182
21
38
51
11
6
8
1
33
8
19
4
6
2
25
584
2
52
31
23
5
3
6
1
5
14
1.562
15
15
238
42
40
3
45
79
32
23
62
76
69
135
121
47
75
76
7
48
9
114
96
5
54
5
89
7
II
9
9
8
52
14
39
19
4
114
23
3
382
7
3
3
4
122
14
28
37
9
5
7
1
23
7
13
4
6
2
23
399
2
40
21
16
5
3
4
1
4
II
1,302
5
4
73
16
22
26
34
10
8
25
35
35
60
72
17
40
30
2
17
4
44
36
COLORADO— Continued
Dillon
5
45
3
4
5
15
2
2
93
3
23
14
1
25
3
1
10
159
17
25
20
2
5
9
7
3
35
21
32
1
95
132
2
56
23
2
2
2
3
8
4
3
2
2
4
26
3
17
4
290
26
5
7
7
4
68
2
1
94
21
76
2
18
5
3
5
19
25
4
1
2
5
3
2
4
27
3
4
4
12
2
2
64
3
14
II
1
16
3
1
5
103
II
19
14
2
4
8
6
3
27
18
24
63
85
1
43
14
2
2
2
3
7
4
3
2
2
4
20
3
14
4
190
20
5
7
6
4
53
2
1
74
18
50
2
12
1
4
3
4
14
22
4
1
2
5
3
2
18
Torrance
Eads
Tracy
Eagle
1
Tulelake
Edgewater
3
Turlock
Elizabeth
Tustin
Empire
Twin Cities
Entdewood
29
Ukiah
Erie
Union City ^
9
Upland
3
VacaviUe
Fairplay
Vallejo
9
Ventura
Firestone
Flagler
Visalia
5
Walnut Creelc
Fort Collins ....
56
Waterford
6
Fort Morgan
(
Weed
6
Westminster
Frederick
]
20
1
34
1
Whittier
Glendale
g
Williams
Glenwood Springs
3
Willits
5
1
1
1
16
6
17
4
Golden
g
Willows
Winters
32
Woodlake
47
Woodland
Green Mountain Falls
1
Yreka
13
Yuba City
9
Haxlun
COLORADO
Hayden
Holly
Holyoke
ld;fho Spring*:
\
Arvada
45
14
160
1
1
Ignacio
Ault
Julesburg
Avon
Kremmling
Basalt
Lafayette
6
Bayfield
La Jara
1
60
7
10
14
2
1
1
10
1
6
2
185
12
10
7
La Junta
3
Lakewood
100
Brighton
Lamar
6
U Salle
Brush
Las Animas
1
Calhan
Littleton
15
Canon City
Log Lane Village
Castle Rock
Longmont
20
Cedaredge
Center
Louisville
3
Loveland
26
Central City
Manassa
Cherry Hills Village
Manitou Springs
6
Columbine Valley
Meeker
I
Milliken
Cortez
.
Craig
Crested Butte
Monte Vista
5
3
Cripple Creek
Monument
Dacono
2
3
260
Morrison
De Beque
Del Norte
Mount Crested Butte
Delta
Denver
New Castle
249
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
COLORADO— Condnucd
CONNECTICUT— Continued
Northglenn
Oak Creek
Olatbe
Pagosa Springs ...
Palisade
Palmer Lake
Paonia
Parachute
Parker
Platteville
Pueblo
Rangely
Ridgway
RiHe
Rocky Ford
Salida
Sheridan
sm
SUverthome
Snowmass Village
Springfield
Steamboat Springs
Sterling
Stratton
Thornton
Trinidad
Vail
Victor
Walsenburg
Westminster
Wheat Ridge
Wiggins
Windsor
Woodland Park ..
Wray
Yuma
CONNECTICUT
Ansonia
Avon
Berlin
Bethel
Bloomfleld
Branford
Bridgeport
Bristol
BrookTield
Canton
Cheshire
Clinton
Coventry
Cromwell
Danbury
Darien
Derby
East Hampton
East Hartford
East Haven
Easton
East Windsor
Enfield
Fairfield
Farmington
Glastonbury
Grandby
Greenwich
Groton
Groton Long Point
Groton Town
Guilford
Hamden
Hartford
Jewett City
Madison
62
2
3
6
3
3
3
6
18
3
229
13
2
IS
8
11
27
3
10
10
4
28
35
3
116
21
50
2
16
153
78
I
9
16
12
10
48
37
44
36
61
45
420
109
31
19
53
26
15
27
143
57
26
16
144
55
19
21
99
108
53
74
15
179
38
5
71
41
121
588
11
42
47
2
3
5
3
3
3
2
12
3
174
8
1
10
7
10
18
3
8
7
4
17
23
1
79
15
30
2
10
105
57
I
8
II
6
6
42
30
36
30
49
43
372
101
25
14
44
23
II
21
135
50
25
14
113
50
14
15
82
98
40
54
10
158
32
5
60
35
100
470
7
33
15
11
6
21
118
4
9
Manchester
Meriden
Middlebury
Middletown
Milford
Monroe
Naugatuck
New Britain ...
New Canaan
New Haven ...
Newington
New London
New Milford
Newtown
North Branford
North Haven
Norwalk
Norwich
Old Saybrook .
Orange
Plainfield
Plainville
Plymouth
Putnam
Ridgefield
Rocky HiU
Seymour
Shelton
Simsbury
Southington . . .
South Windsor
Stamford
Stonington
Stratford
Suffield
Thomaston
Torrington
Trumbull
Vernon
Wallingford . . .
Waterbury
Waterford
Watertown
West Hartford
West Haven
Weston
Westport
Wethersfield . .
Willimantic . . .
Wilton
Windsor
Windsor Locks
Winsted
Wolcott
Woodbridge
DELAWARE
Bethany Beach
Bethel
Blades
Bridgeville
Camden-Wyoming
Clayton
Dagsboro
Delmar
Dewey Beach ....
Dover
Elsmere
Fenwick Island
Frankford
Georgetown
Greenwood
Harrington
Laurel
128
99
133
114
11
9
115
95
121
106
42
33
49
45
175
155
48
44
441
382
57
47
90
76
55
42
39
31
22
20
56
46
197
162
94
78
30
22
40
34
19
18
36
29
21
17
19
15
42
37
39
30
28
27
59
50
42
34
62
57
42
33
361
316
43
34
132
114
18
13
14
II
81
75
78
67
60
47
89
70
357
310
53
45
42
32
146
120
130
114
15
14
75
68
51
41
41
36
44
40
53
46
25
19
28
23
29
21
26
20
9
9
2
6
4
1
1
8
10
84
67
12
11
3
8
2
7
10
9
250
T«ble 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued
City
DELAWARE— Continued
Lewes
Middleton
Milford
MiUsboro
Milton
Newark
New Castle
Newport
Ocean View ...
Reboboth Beach
Seaford
SelbyviUe
Smyraa
South Bethany .
Wilmington
DISTRICT OF COLUMBU
Washington
FLORIDA
Alachua
Altamonte Springs
Apaiachicola
Apopka
Arcadia
Atlantic Beach
Atlantis
Auburndale
Avon Park
Bal Harbour
Bartow
Bay Harlx)r Islands
Belleair
Belleair Beach
Belleair BlufTs
Belle Glade
BeUeview
Biscayne Park
Blountstown
Boca Raton
Bonifay
Bowling Green
Boynton Beach ....
Bradcnton
Bradenton Beach
Brooksville
Bunnell
Bushnell
Callaway
Cape Coral
Casselberry
Cedar Grove
Center Hill
Century
Chattahoochee
Chienand
Chipley
Clearwater
Qennont
Qewiston
Cocoa
Cocoa Beach
Coconut Creek
Coleman
Cooper City
Coral Gables
Coral Springs
Crescent City
Crestview
Cross City
Crystal River
Dade City
Davenport ! . .
Total
police
employees
7
5
30
6
4
66
II
7
I
22
27
2
18
4
326
5,521
13
112
35
61
21
29
25
31
27
26
55
28
15
5
8
61
11
7
12
203
9
5
145
92
9
29
7
7
18
151
63
3
2
6
10
9
6
366
23
23
56
61
69
2
51
201
224
10
24
4
22
27
9
Total
olTicers
7
5
23
6
4
51
10
6
1
16
21
2
14
4
256
4,740
9
82
6
43
15
21
15
23
19
19
40
23
10
5
7
48
9
7
7
124
5
5
124
73
8
18
6
6
14
100
42
3
2
6
9
9
6
234
17
13
51
49
49
2
40
139
153
6
17
4
18
16
5
Total
civilians
70
781
132
6
10
5
12
20
City
FLORIDA— Continued
Davie
Daytona Beach
Daytona Beach Shores
De Funiak Springs ...
De Land
Delray Beach
Dundee
Dunedin
Total
police
employees
Dunnellon
Eagle Lake
Eatonville
Edgewaler
Edgewood
El Portal
Eustis
Fellesmere
Femandina Beach
Flagler Beach
Florida City
Fort Lauderdale
Fort Meade
Fort Myers
Fort Pierce
Fort Walton Beach ...
Frostproof
Fruitland Park
Gainesville
Golden Beach
Graceville
Greenacres City
Green Cove Springs
Groveland
Gulf Breeze
Gulfport
Gulf Stream
Haines City
Hallandale
Havana
Hialeah
Hialeah Gardens
Highland Beach
High Springs
Hillsboro Beach
Holly Hill
Hollywood
Holmes Beach
Homestead
Howey-in-the-Hills
Indialantic
Indian Harbour Beach
Indian River Shores
Indian Rocks Beach
Indian Shores
Inverness
Jacksonville
Jacksonville Beach
Jasper
Juno Beach
Jupiter
Jupiter Island
Kenneth City
Key West
Kissimmee
Lady Lake
Lake Alfred
Lake City
Lake Clarke Shores ..
Lake Hamilton
Lake Helen
Lakeland
Lake Mary
Lake Park
Lake Wales
Lake Worth
Lantana
Total
officers
145
108
281
210
28
21
13
12
72
51
195
130
12
8
67
54
8
6
5
5
9
7
37
28
8
7
6
6
40
29
5
5
31
24
14
8
23
17
749
482
19
14
184
137
131
103
65
52
13
8
7
6
309
202
13
12
12
6
71
40
19
15
12
7
19
17
27
21
9
9
48
35
124
95
12
9
447
331
30
23
10
10
11
7
15
12
31
22
567
302
15
9
100
79
3
3
15
10
23
16
19
19
13
12
11
10
13
12
2,084
1,208
59
40
9
7
14
12
92
73
17
14
13
11
101
71
127
81
18
13
12
8
33
27
10
10
7
5
6
5
270
196
27
20
34
26
45
34
140
98
29
21
251
Table 72. — Number of Full-dme Lam Enforcement Employees, Cities, October 31, 1990 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
FLORIDA— Continued
Largo
Lauderdale-by-the-Sea
Leesburg
Lighthouse Point
Longboat Key
Longwood
Lynn Haven
Madeira Beach
Madison
Maitland
Manalapan
Mangonia Park
Margate
Marianna
Mascotte
Medley
Melbourne
Melbourne Beach
Miami
Miami Beach
Miami Shores
Miami Springs
Miccosukee
Milton
Minneola
Miramar
MonticeUo
Mount Dora
Mulberry
Naples
Neptune Beach
New Port Richey
New Smyrna Beach
Niceville
North Bay Village
North Lauderdale
North Miami
North Miami Beach
North Palm Beach
North Port
Oak HiU
Oakland Park
Ocala
Ocean Ridge
Ocoee
Okeechobee
Opa Locka
Orange City
Orange Park
Orlando
Ormond Beach
Oviedo
Pahokee
Palatka
Palm Bay
Palm Beach
Palm Beach Gardens
Palm Beach Shores
Palmetto
Palm Springs
Panama City
Panama City Beach
Parker
Parkland
Pembroke Pines
Pensacola
Perry
Pinellas Park
Plantation
Plant City
Pompano Beach
Ponce Inlet
Port Orange
Port Richey
Port St. Joe
FLORIDA— Continued
165
16
56
38
25
37
19
17
12
46
II
15
132
21
5
34
172
10
1.418
456
42
45
8
22
4
95
11
33
13
123
16
39
65
17
29
71
129
133
42
36
4
105
167
17
39
21
69
14
26
734
85
35
22
40
154
122
92
8
38
32
106
38
7
16
167
203
20
105
223
76
334
12
70
14
16
115
14
45
30
19
32
13
16
II
32
7
15
97
16
5
28
125
9
1.080
321
34
37
5
17
4
80
8
24
9
81
II
30
50
12
22
55
106
100
32
23
4
75
113
12
29
15
49
13
20
512
63
25
15
29
97
75
74
7
29
23
80
30
6
14
131
145
18
70
137
55
255
7
53
9
11
6
47
I
338
135
8
8
3
5
30
54
5
10
6
20
1
6
222
22
10
7
11
57
47
18
I
9
9
26
8
1
2
36
58
2
35
86
21
79
5
17
5
5
Port St. Lucie
Punta Gorda
Quincy
Redington Beach
Riviera Beach
Rockledge
Royal Palm Beach ..
St. Augustine
St. Augustine Beach .
St. Cloud
St. Petersburg
St. Petersburg Beach
Sanford
Sanibel
Sarasota
Satellite Beach
Sea Ranch Lakes
Sebastian
Sebring
Seminole Big Cypress
Sewall's Point
Sneads
South Bay
South Daytona
South Miami
South Palm Beach
Springfield
Starke
Stuart
Sunrise
Surfside
Sweetwater
Tallahassee
Tampa
Tarpon Springs
Tavares
Temple Terrace
Tequesta
Titusville
Treasure Island
Umatilla
Valparaiso
Venice
Vero Beach
Virginia Gardens
Waldo
Wauchula
Webster
West Melbourne
West Miami
West Palm Beach ...
Wildwood
Williston
Wilton Manors
Windermere
Winter Garden
Winter Haven
Winter Park
Winter Springs
Zephyrhills
Zolfo Spring
GEORGIA
Abbeville
Acworth
Adairsville
Adel
Alamo
Alapaha . .
Albany . . .
Alma
Alpharetta
Americus
Aragon . . .
103
71
34
24
73
60
8
7
116
94
40
33
34
25
44
34
9
8
42
31
702
483
52
32
98
81
35
24
274
179
21
15
12
10
28
20
29
22
54
40
8
8
6
2
15
10
31
22
61
48
9
9
18
13
20
14
56
41
205
132
25
21
20
18
417
286
1.126
848
56
42
23
17
56
37
22
17
97
71
23
19
6
5
13
8
60
39
86
60
7
7
7
6
12
10
3
3
21
19
18
15
321
218
17
13
16
10
41
30
6
6
36
28
87
62
90
67
49
39
32
23
2
2
3
20
10
16
2
I
211
18
37
51
9
252
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued
City
Total
police
employees
Total
officers
Total
civilians
aty
Total
police
employees
Total
officers
Total
civilians
GEORGU— CondniKd
GEORGIA— Continued
Arlington
Asbbum
Atbens
Atlanta
Attapulgus
Auburn
Augusta
Austell
Avondale Estates
Bainbridge
Baldwin
Ball Ground
Bamesville
Baxley
Blackshear
Blakely
Bloomingdale . . .
Blue Ridge
Boston
Bremen
Brooklet
Broxton
Brunswick
Buchanan
Buena Vista
Butler
Byron
Cairo
Calhoun
Camilla
Canon
Canton
Carrollton
Cartersville
Cave Spring
Cedanown
Chamblee
Chatsworth
Chickamauga
Clarkesville
Clarkston
Claxton
Clayton
Cleveland
Cochran
Colbert
Coolidge
College Park
Collins
Colquitt
Columbus
Comer
Commerce
Concord
Conyers
Cordele
Cornelia
Covington
dimming
Cusseta
Cutbbert
Dallas
Dalton
DanielsviUe
Darien
Davisboro
Dawson
Decatur
Demorest
Doerun
Donalsonville
E)oraville
Douglas
[>ouglasviUe
Dublin
3
15
128
1,933
3
6
190
15
9
■ 51
4
2
13
13
II
19
7
5
4
15
3
4
86
4
5
4
12
22
34
18
1
22
51
50
2
25
35
13
9
5
13
7
9
6
11
3
4
76
1
10
461
3
19
3
46
30
16
44
13
6
9
14
78
1
6
1
20
55
2
5
13
34
42
36
44
3
12
99
1,569
1
5
157
10
9
34
4
2
12
13
10
14
6
5
4
15
3
4
71
4
5
4
10
1
34
14
1
20
44
40
2
21
32
10
5
5
11
6
9
6
11
2
4
64
1
7
366
3
12
2
35
26
16
37
8
3
5
11
60
1
6
I
16
44
2
4
8
25
33
30
35
3
29
364
2
1
33
5
17
15
12
Duluth
East Dublin
East Ellijay
Eastman
East Point
Edison
Elberton
EllaviUe
Ellijay
Emerson
Enigma
Fairbum
Fayetleville
Fitzgerald
Flowery Branch
Folkston
Forest Park
Forsyth
Fort Gaines
Fori Oglethorpe .
Fort Valley
Gainesville
Garden City
Glennville
Glenwood
Gordon
Grantville
Gray
Greensboro
Griffin
Grovetown
Hagan
Hahira
Hampton
Hapeville
Harlem
Hartwell
Hawkinsville
Hazlehurst
Helen
Hepzibah
Hinesville
Hoboken
Hogansville
Homerville
Ideal
Irwinton
Ivey
Jackson
Jasper
Jefferson
Jeffersonville
Jesup
Jonesboro
Kennesaw
Kingsland
Lafayette
La Grange
Lake City
Lakeland
Lavonia
Lawrenceville
Leary
Leesburg
Leslie
Lilbum
Lincolnlon
Linwood
Lithonia
Locust Grove
Loganville
Lookout Mountain
Louisville
Ludowici
Lumpkin
34
12
5
16
123
3
26
4
12
2
2
19
25
39
1
5
60
21
4
19
32
91
20
13
4
8
4
4
10
76
II
1
7
7
38
9
15
11
18
II
1
56
3
14
9
I
2
2
19
7
9
5
31
8
34
24
24
86
II
4
II
37
2
3
4
21
3
I
II
7
12
9
9
26
7
4
12
103
3
21
4
8
2
1
14
17
24
1
5
39
21
16
5
4
15
4
26
6
72
19
18
2
8
5
3
1
5
3
4
4
9
1
62
14
8
1
3
4
3
7
31
7
5
4
11
4
10
1
9
9
7
1
4
45
11
2
1
10
4
5
1
4
7
7
14
5
7
8
1
5
23
8
8
25
9
18
6
16
8
75
11
8
3
4
9
2
27
10
3
4
15
6
3
1
8
3
6
1
8
4
7
2
9
4
4
6
1
253
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
GEORGIA— Continued
Luthersville
Lyons
Macon
Madison
Manchester —
Mansfield
Marietta
MarshallviUe . . .
Maysville
McCaysville . . .
McDonough . . .
Mclntyre
McRae
Meigs
Metter
Midway
Milan
Milledgeville ...
Millen
Monroe
Montezumna
Monticello
Morrow
Morven
Moultrie
Mountain City
Mount Vernon
Nabunta
Nashville
Newnan
Newton
Nicholls
Norcross
Oakwood
Ocilla
Oglethorpe
Omega
Oxford
Palmetto
Patterson
Pavo
Peachtree City .
Pearson
Pelham
Pembroke
Perry
Pine Lake
Pinehurst
Plains
Pooler
Porterdale
Port Wentworth
Poulan
Powder Springs
Quitman
Reidsville
Remerton
Reynolds
Richland
Richmond Hill
Ringgold
Rincon
Riverdale
Roberta
Rochelle
Rockmarl
Rome
Rossville
Roswell
Royston
St. Marys
Sandersville
Sardis
Savannah
Savannah Beach
4
15
321
13
16
1
145
4
1
3
10
3
9
5
11
4
3
54
9
32
16
12
33
3
47
2
3
3
16
39
2
5
24
8
15
7
5
1
8
2
3
37
3
11
5
32
5
1
3
II
5
12
1
20
17
10
3
3
4
14
4
7
37
3
4
15
73
16
117
14
29
22
2
410
18
4
12
263
12
11
120
3
1
3
9
3
5
5
11
3
3
31
9
26
11
8
26
3
38
2
3
3
12
38
2
3
17
7
10
6
5
1
8
2
2
27
3
8
5
27
3
1
3
10
5
11
1
16
13
5
3
3
4
8
4
7
31
3
4
15
63
8
85
10
24
15
2
325
13
GEORGIA— Continued
Screven
Senoia
Smyrna
Snellville
Soperton
Sparks
Sparta
Springfield
Statesboro
Statham
Stone Mountain
Summerville
Swainsboro
Sylvania
Sylvester
Talbotton
Tallapoosa
Temple
Tennille
Thomaston
Thomasville
Thomson
Thunderbolt
Tifton
Tignall
Toccoa
Trenton
Trion
Tunnel Hill
Tyrone
Unadilla
Union City
Union Point
Uvalda
Valdosta
Vidalia
Vienna
Villa Rica
Warner Robins
Warwick
Washington
Watkinsville
Waverly Hall
Waycross
Waynesboro
West Point
White
Willacoochee
Winder
Woodbine
Woodstock
Wrens
Wrightsville
HAWAII
Hilo
Honolulu
IDAHO
Aberdeen
American Falls
Blackfoot
Boise
Bonners Ferry
Buhl
Caldwell
Chubbuck
Coeur d'AIene
Emmetl
Filer
Firth
Fruitland
Garden City
1
5
97
29
9
1
12
5
46
3
18
17
25
14
18
3
14
4
6
44
52
13
9
50
2
31
5
7
4
8
7
29
9
2
96
29
6
23
101
2
18
4
5
63
20
17
1
3
31
5
20
12
4
197
2,257
7
9
24
189
7
6
38
14
59
9
4
1
6
21
1
5
78
23
5
1
8
5
37
3
12
17
18
10
14
3
10
3
5
36
43
11
5
41
1
25
5
7
4
7
4
21
5
2
78
27
6
17
76
2
13
4
4
45
16
13
1
2
30
5
18
12
4
128
1,827
4
8
16
161
6
5
28
11
41
9
4
1
5
18
254
Table 72. — Number of Full-time Lan Enforcement Employees, Cities, October 31, 1990 — Continued
Cily
Total
police
employees
Total
ofTicers
Total
civilians
City
Total
police
employees
Total
officers
Total
civilians
IDAHO— Continued
Gooding
Grangevllle ....
Hailey
Heybum
Homedale
Idaho Falls
Jerome
Kellogg
Ketchum
Lewiston
McCall
Meridian
Montpelier
Moscow
Mountain Home
Nampa
New Plymouth
Orofino
Osburn
Payette
Pinehurst
Pocatello
Post Falls
Preston
Priest River
Rexburg
Rigby
Rupert
St. Anthony
Salmon
Sandpoint
Shelley
Soda Springs ...
Sun Valley
Twin Falls
Wallace
Weiser
Wilder
nxiNOis
Abingdon
Addison
Albany
Albion
Aledo
Alexis
Algonquin
Alorlon
Alsip
Altamont
Alton
Andalusia
Anna
Antioch
Areola
Arlington Heights
Arthur
Ashland
Astoria
Auburn
Aurora
Avon
Barrington
Barrington Hills
Bartlett
Bartonville
Batavia
Beardstown
Bedford Park ..
Beecher
Belleville
Bellwood
Belvidere
Benld
6
8
4
5
93
12
7
14
56
7
16
5
28
23
53
4
7
2
10
2
84
20
4
6
26
5
13
5
6
17
6
6
8
54
4
13
2
83
1
2
8
1
26
7
48
3
78
2
9
21
4
131
5
1
1
8
225
1
43
25
38
II
33
12
33
5
76
51
27
7
7
5
6
4
5
68
12
6
11
41
6
14
5
23
16
37
4
6
2
9
2
64
12
4
5
23
5
12
5
5
11
6
6
8
39
4
9
2
5
63
1
2
7
1
20
3
39
3
66
2
9
14
4
98
5
1
1
4
193
1
30
18
28
7
27
8
28
5
66
42
25
3
25
20
ILLINOIS— Continued
Bensenville
Benton
Berkeley
Berwyn
Bethalto
Bloomingdale
Bloomington
Blue Island
Blue Mound
Bolingbrook
Bourbonnais
Bradley
Braidwood
Breese
Bridgeport
Bridgeview
Brighton
Broadview
Brookfield
Brooklyn
Buffalo Grove
Bull Valley
Bunker Hill
Burbank
Bumham
Burr Ridge
Byron
Cahokia
Cairo
Calumet City
Calumet Park
Camp Point
Canton
Carbon Cliff
Carbondale
CarlinviUe
Carlyle
Carmi
Carol Stream
Carpentersville . . «
CarroUton
Carterville
Carthage
Cary
Casey
Caseyville
Central City
Centralia
Centreville
Champaign
Channahon
Charleston
Chatham
Chenoa
Cherry Valley ....
Chester
Chicago
Chicago Heights
Chicago Ridge
Chillicothe
Christopher
Cicero
Clarendon Hills ..
Clinton
Coal City
Coal Valley
Cobden
Collinsville
Colona
Columbia
Coulterville
Country Club Hills
Countryside
Crest Hill
Crestwood
43
33
11
6
16
13
96
71
18
12
54
38
85
74
41
32
83
59
20
14
22
17
8
5
5
5
2
2
44
38
5
3
33
32
34
28
4
3
63
54
3
1
52
44
13
9
22
19
9
5
37
26
18
13
95
66
23
17
27
20
2
2
66
53
13
9
7
6
10
9
56
40
46
41
5
5
4
4
3
3
21
16
6
6
9
5
2
2
36
28
16
12
121
93
II
7
37
29
7
7
2
2
10
10
10
7
13,535
12,048
109
78
29
26
12
8
4
4
117
93
18
13
17
13
4
3
7
6
2
2
40
31
4
4
9
8
28
22
27
21
23
18
8
7
255
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
nUNOIS— Continued
ILLINOIS— Continued
Crete
Creve Coeur
Crystal l.ake
Danville
Darien
Decatur
Deerfield
De Kalb
De Soto
Des Plaines
Dixmoor
Dixon
Dolton
Downers Grove
Dupo
Dm Quoin
Durand
Dwight
EarlviUe
East Alton
East Carondelet
East Dubuque
East Dundee
East Hazel Crest
East Moline
East Peoria
East St. Louis
Edwardsville
Effingham
Elbum
Eldorado
Elgin
Elk Grove Village
Elmhurst
Elmwood Park
El Paso
Energy
Equality
Erie
Eureka
Evanston
Evergreen Park
Fairbury
Fairfield
Fairmont City
Fairview
Fairview Heights
Farmer City
Fisher
Flora
Flossmoor
Ford Heights
Forest Park
Forest View
Fox I-ake
Fox River Grove
Fox River Valley Gardens
Frankfort
Franklin Park
Freeburg
Freeport
Fulton
Galena
Galesburg
Galva
Gardner
Geneseo
Geneva
Genoa
Gibson City
GifTord
Gilberts
Gillespie
Gilman
Girard
14
8
56
75
34
144
48
59
3
118
12
24
45
82
6
13
1
10
2
18
2
5
12
7
38
41
84
29
31
4
10
147
109
86
34
3
3
I
2
3
211
62
5
13
8
1
42
6
2
15
21
10
49
11
20
9
1
18
60
5
57
6
10
68
4
I
14
33
7
10
1
1
9
3
4
11
7
39
62
25
139
38
48
3
98
10
21
38
59
5
9
1
6
2
12
2
5
II
7
29
30
66
20
24
3
6
114
94
64
29
3
3
I
2
3
157
50
5
9
5
1
32
3
2
10
16
3
35
8
15
9
I
16
47
5
49
6
8
48
4
1
9
23
4
7
1
1
6
3
4
Glen Carbon
Glencoe
Glendale Heights
Glen Ellyn
Glenview
Glenwood
Golf
Grafton
Granite City
Grayslake
Grayville
Green Rock
Greenup
Greenville
Gumee
Hamilton
Hampshire
Hampton
Hanover
Hanover Park ...
Harrisburg
Hartford
Harvard
Harvey
Harwood Heights
Havana
Hazel Crest
Hebron
Henry
Herrin
Herscher
Hickory Hills
Highland
Highland Park ...
Highwood
Hillsboro
Hillside
Hinckley
Hinsdale
Hodgkins
Hoffman Estates
Hometown
Homewood
Hoopeston
Huntley
Indian Head Park
Island Lake
Itasca
Jacksonville
Jerome
Jerseyville
Johnston City ...
Joliet
Jonesboro
Justice
Kankakee
Kenilworth
Kewanee
Kildeer
Kincaid
Kirkland
Knoxville
Lacon
La Grange
La Grange Park
Lake Bluff
Lake Forest
Lake-in-the-Hills . .
Lakemoor
Lake Villa
Lakewood
Lake Zurich
Lanark
Lansing
U Salle
16
4
62
42
80
21
1
2
62
16
6
3
3
13
38
4
4
I
1
60
18
6
16
85
31
8
30
2
3
15
2
31
19
70
II
6
37
2
38
14
103
6
45
14
7
12
12
38
42
4
17
5
217
3
22
76
14
21
5
I
2
3
5
37
29
13
51
17
3
7
6
35
I
60
20
II
33
43
32
62
14
1
2
53
II
3
3
3
8
26
4
4
1
1
40
12
5
12
62
23
8
23
2
3
12
2
23
13
58
7
6
29
2
27
13
80
I
34
9
7
9
8
26
34
4
11
5
175
3
19
57
II
16
5
1
2
3
4
28
23
11
38
12
3
6
6
24
1
47
17
I
9
6
2
13
5
13
3
256
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued
City
ILLINOIS— CondniKd
Lebanon
Leland Grove ...
Lemont
Leroy
Lewistown
Libertyville
Lincoln
Lincolnshire
Lincolnwood
Lindenhurst
Lisle
Litchfield
Lockport
Lombard
Loves Park
Lynwood
Lyons
Mackinaw
Macomb
Madison
Mahomet
Manhattan
Manito
Manteno
Marengo
Marion
Markham
Maroa
Marquette Heights
Marseilles
Marshall
Martinsville
MaryviUe
Mascoutah
Mason City
Matteson
Mattoon
Maywood
McCook
McCullom Lake
McHenry
McLeansboro
Melrose Park
Mcndota
Mcredosia
Metamora
Metropolis
Midlothian
Milan
MilledgeviUe
Millstadt
Minier
Minonk
Minooka
Mokena
Molinc
Momence
Monee
Monmouth
Montgomery
MonticeUo
Morris
Morrison
Morton
Morton Grove
Mount Carmel
Mount CarroU
Mount Morris
Mount Olive
Mount Prospect ..
Mount Pulaski
Mount Sterling ...
Mount Vernon
Mount Zion
Mundelein
Total
police
employees
12
4
20
3
3
44
28
19
45
II
47
15
27
77
30
9
27
1
30
14
4
4
2
7
15
22
38
2
3
6
12
3
9
5
4
44
48
77
16
I
39
9
63
15
I
3
14
28
14
1
4
I
I
5
14
85
5
4
26
17
7
22
6
19
62
18
2
7
4
90
3
8
34
8
39
Total
officers
6
4
18
3
3
34
25
15
34
II
32
12
19
61
22
8
23
1
24
II
4
4
2
7
11
17
30
2
3
6
11
3
5
5
4
33
39
62
13
I
28
5
58
12
1
3
12
23
10
1
4
1
I
5
13
64
5
4
20
II
6
17
6
14
45
12
2
4
3
70
2
4
28
7
30
Total
civilians
aty
ILLINOIS— Continued
Murphysboro
Naperville
Nashville
National City
Neoga
New Athens .
New Baden
New Lenox
Newton
Niles
Nokomis
Normal
Norridge
North Aurora
Nonhbrook
North Chicago
Northfield
Northlake
North Pekin
North Riverside .
Oak Brook
Oakbrook Terrace
Oak Forest
Oak Lawn
Oak Park
Oakwood Hills
O'Fallon
Ogden
Oglesby
Okawville
Old Shawneetown
Olney
Olympia Fields ..
Oregon
Orland Hills
Orland Park
Oswego
Ottawa
Palatine
Palestine
Palmyra
Palos Heights . .
Palos Hills
Palos Park
Pana
Paris
Park City
Park Forest
Park Ridge
Paxton
Pecatonica
Pekin
Peoria
Peoria Heights
Peotone
Peru
Petersburg
Phoenix
Pinckneyville ...
Pitlsfield
Plainfield
Piano
Polo
Ponliac
Pontoon Beach
Port Byron
Posen
Princeton
Prophetstown . . .
Prospect Heights
Quincy
Ramsey
Rantoul
Red Bud
Richmond
Total
police
employees
Total
officers
20
15
154
113
3
3
4
4
2
2
3
3
4
4
15
14
7
6
63
51
6
3
59
50
37
31
14
13
82
60
65
44
27
20
37
32
38
30
51
39
23
17
45
34
111
104
159
115
2
2
33
25
7
7
2
2
14
9
17
16
5
5
8
7
83
58
14
12
31
26
94
66
2
2
2
1
29
26
28
25
II
9
13
8
18
14
10
6
44
37
65
48
6
6
2
2
51
46
287
208
14
10
6
6
24
19
5
5
6
3
6
5
6
6
15
10
13
9
3
3
24
18
14
9
2
2
9
8
10
10
3
3
20
18
83
72
28
22
4
4
4
4
257
Table 72. — Nmnber of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued
City
Total
police
employees
Total
ofTicers
Total
civilians
City
Total
police
employees
Total
officers
Total
civilians
ILUNOIS— CondaiKd
ILLINOIS— Continued
Richton Park
Ridgway
Riverdale
River Forest
River Grove
Riverside
Robbins
Robinson
Rochelle
Rochester
Rockdale
Rock Falls
Rockford
Rock Island
Rockton
Rolling Meadows
Romeoville
Roodhouse
Roscoe
Roselle
Rosemont
Round Lake
Round Lake Beach —
Round Lake Heights ..
Round Lake Park
Roxana
Royalton
Rushville
St. Charles
Salem
Sandwich
Sauget
Sauk Village
Savanna
Schaumburg
Schiller Park
Seneca
Sesser
Shawneetown
Shelbyville
Shiloh
Shorewood
Silvis
Skokie
Sleepy Hollow
Smithton
South Barrington
South Beloit
South Chicago Heights
South Elgin
South Holland
South Jacksonville ...
South Roxana
Sparta
Springfield
Spring Valley
Staunton
Steger
Sterling
Stickney
Stockton
Stone Park
Streamwood
Streator
Sugar Grove
Sullivan
Summit
Swansea
Sycamore
Taylorville
Thoraasboro
Thornton
Tinley Park
Tolono
Tonica
22
2
33
39
23
22
12
10
25
6
4
23
324
111
6
60
43
4
7
44
77
II
33
2
6
7
2
5
50
19
16
7
24
9
179
36
3
5
4
8
3
13
17
137
6
2
9
II
16
17
40
6
4
II
237
9
8
15
37
17
3
17
62
27
5
8
34
15
22
22
2
g
54
2
I
18
2
27
29
17
19
6
9
19
6
4
16
248
79
5
50
32
4
6
32
66
7
23
2
6
6
2
5
43
14
10
7
17
9
131
28
3
5
4
7
3
12
II
106
5
2
g
7
II
13
31
5
3
8
196
5
5
12
25
13
3
12
44
21
5
7
27
12
16
15
2
7
46
2
1
48
Tremont
Trenton
Troy
Tuscola
University Park
Urbana
Vandalia
Venice
Vernon Hills
Vienna
Villa Grove
Villa Park
Virden
Warren
Warrensburg
Warrenville
Washington
Washington Park
Waterloo
Watseka
Wauconda
Waukegan
Wayne
Westchester
West Chicago
West City
West Dundee
Western Springs
West Frankfort
Westmont
Wheaton
Wheeling
White Hall
Willowbrook
Willow Springs
Wilmette
Wilmington
Winfield
Winnebago
Winnetka
Winthrop Harbor
Wood Dale
Woodhull
Woodridge
Wood River
Woodstock
Worth
Yorkville
Zeigler
Zion
INDLU^A
Alexandria
Anderson
Angola
Auburn
Batesville
Bedford
Beech Grove
Berne
Bloomington . . .
Bluffton
Boonville
Brazil
Bremen
Bums Harbor
Cambridge City
Carmel
Cedar Lake
Charlestown . . .
Chesterfield ....
Clarksville
Columbus
Connersville . . .
2
3
14
6
20
54
17
13
38
2
4
50
9
3
1
21
15
13
g
15
18
170
5
41
27
8
15
28
20
49
75
72
9
24
15
59
15
15
2
35
13
46
1
51
24
38
23
9
4
55
2
3
10
5
13
43
12
II
27
2
4
35
5
3
1
16
12
9
7
10
13
120
4
35
22
4
14
21
14
36
54
50
4
20
II
43
10
14
2
24
9
32
I
38
18
27
23
9
3
38
14
10
4
163
130
33
16
12
4
22
17
5
12
7
5
37
31
6
31
24
7
5
5
80
60
20
19
16
3
1 1
11
13
9
4
12
g
4
9
5
4
5
5
65
49
16
17
12
5
12
8
4
6
5
1
36
29
7
88
64
24
35
31
4
258
Table 72.— Number of FuU-dme Law Enforcement Employees, Cities, October 31, 1990 — Continued
City
Total
police
employees
Total
ofTicers
Total
civilians
aty
Total
police
employees
Total
officers
INDIANA— Contioiwd
INDIANA— Contlniied
Crawfordsville . . .
Crown Point
Decatur
Dunkirk
Dyer
East Chicago
Edinburgh
Elkhart
Elwood
Evansville
Fairmount
Fort Wayne
Garrett
Gary
Gas City
Georgetown
Goshen
Greenfield
Greenwood
GrifTith
Hammond
Hartford City ....
Highland
Hobart
Huntington
Indianapolis
Jasonville
Jasper
Jeffersonville
KendallviUe
Kingsford Heights
Kokomo
Lafayette
La Porte
Lawrence
Lebanon
Ligonier
Linton
Logansport
Long Beach
Loogootee
Lowell
Marion
Martinsville
MerrillviUe
Michigan City ...
Mishawaka
Monticello
Moorcsville
Muncie
Munster
Nappanee
New Albany
New Castle
New Haven
Noblesville
North Manchester
North Vernon ...
Petersburg
Plainfield
Plymouth
Portage
Portland
Princes Lakes
Rensselaer
Richmond
Rushville
Schererville
Scottsbur^
Sellersburg
Speedway
TeU City
Terre Haute
Union City
Valparaiso
39
29
20
7
22
126
15
116
20
262
8
345
15
308
13
2
41
26
53
36
224
16
45
39
35
1,369
4
21
50
19
3
124
104
39
46
24
8
13
40
5
3
15
69
21
52
98
85
16
18
135
40
13
74
41
14
39
13
17
7
26
25
48
16
2
11
98
16
35
11
16
33
14
130
10
50
28
23
15
4
16
95
10
93
16
243
4
306
10
208
9
2
36
21
38
26
184
11
38
30
29
984
4
15
43
14
3
100
82
35
34
20
8
8
35
5
3
11
65
16
44
84
75
10
13
114
31
9
58
38
10
31
10
13
4
20
19
38
12
2
7
76
12
28
8
12
25
9
115
6
36
II
6
5
3
6
31
5
23
4
19
4
39
5
100
4
5
5
15
10
40
5
7
9
6
385
Vincennes
Wabash
Warsaw
West Lafayette
West Terre Haute
Winchester
Winona Lake
Adel
Albia
Algona
Altoona
Ames
Anamosa
Ankeny
Atlantic
Audubon
Belle Plaine
Belmond
Bettendorf . . . ,
Bloomfield
Boone
Burlington
Camanche
Carlisle
Carroll
Carter Lake
Cedar Falls ...
Cedar Rapids .
CenterviUe
Chariton
Charles City ..
Cherokee
Clarinda
Clarion
Clear Lake
Clinton
Clive
Coralville
Council Bluffs
Cresco
Creston
Davenport
Decorah
Denison
Des Moines
De Witt
Dubuque
Dyersville
Eagle Grove
Eldora
Eldridge
Emmetsburg
Estherville
Evansdale
Fairfield
Forest City ...
Fort Dodge ...
Fort Madison
Gamer
Glenwood
Grinnell
Grundy Center
Hampton
Harlan
Hawarden
Hiawatha
Humboldt
Independence
Indianola
Iowa City
Iowa Falls
Jefferson
IOWA
5
10
14
II
63
6
30
13
4
5
4
44
9
15
48
6
5
20
7
54
199
17
8
20
II
14
6
17
49
16
24
106
7
15
176
17
16
447
7
83
8
7
6
5
7
11
6
19
8
45
28
5
7
14
4
12
9
4
5
7
14
16
69
14
8
30
24
31
33
4
10
5
5
7
9
10
51
5
23
II
4
4
4
34
7
14
36
6
5
13
6
44
155
12
7
13
9
9
6
12
43
12
22
90
7
11
141
13
12
340
7
76
5
7
6
5
7
11
5
13
7
42
22
5
7
13
4
7
8
4
5
7
10
14
55
10
8
259
Table 72. — Number of Full-tiine Law Enforcement Employees, Cities, October 31, 1990 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
IOWA— Condnned
Johnston
Keokuk
Knoxville
Lamoni
Le Claire
Le Mars
Manchester
Maquoketa
Marion
Marshalltown
Mason City
Missouri Valley .
Monticello
Mount Pleasant
Mount Vernon
Muscatine
Nevada
New Hampton
Newton
Norwalk
Oelwein
Onawa
Orange City
Osage
Osceola
Oskaloosa
Ottumwa
Pella
Perry
Pleasant Hill ....
Red Oak
Rock Rapids
Rock Valley
Sac City
Sergeant Bluff ...
Sheldon
Shenandoah
Sioux Center
Sioux City
Spencer
Spirit Lake
Storm Lake
Story City
Tama
Tipton
Urbandale
Vinton
Washington
Waterloo
Waukee
Waukon
Waverly
Webster City . . . .
West Burlington .
West Des Moines
West Union
Windsor Heights
Winterset
KANSAS
Abilene
Andover
Arcadia
Arkansas City
Arma
Atchison
Attica
Augusta
Baldwin City
Basehor
Baxter Springs
BeUeviUe
Beloit
Blue Rapids
KANSAS— Continaed
9
37
15
3
7
II
12
14
36
56
56
5
8
13
4
44
8
6
31
8
13
5
4
6
8
20
39
14
15
8
14
3
3
5
5
11
12
6
137
26
7
16
4
5
4
36
7
8
146
5
6
13
19
6
51
5
II
9
8
26
II
3
5
11
8
10
29
39
41
5
5
12
4
35
8
6
27
7
10
5
4
6
7
17
33
11
II
8
10
3
3
5
5
7
9
6
112
19
6
15
4
4
4
29
7
8
122
5
6
12
14
6
43
5
10
7
24
Bonner Springs
Buhler
Burden
Burlingame
Burlington
Bushton
Caldwell
Caney
Carbondale
Cedar Vale
Chanule
Chapman
Cheney
Cherokee
Cherryvale
Cimarron
Clay Center ....
Clearwater
Clyde
CoffeyviUe
Colby
Columbus
Colwich
Concordia
Conway Springs
Council Grove
Derby
Douglas
Downs
Eastborough
Edgerton
Edwardsville
El Dorado
Elkhart
Ellinwood
Ellis
Ellsworth
Elwood
Eudora
Fairway
Fort Scott
Frankfort
Fredonia
Frontenac
Galena
Garden City
Garden Plain ...
Gardner
Gamett
Girard
Goddard
Goodland
Grandview Plaza
Great Bend
Halstead
Hays
Haysville
Herington
Hesston
Hiawatha
Highland
Hillsboro
Hoisington
Holcomb
Holton
Holyrood
Horton
Hoxie
Hugoton
Humboldt
Hutchinson
Independence ...
lola
Junction City ...
Kanopolis
16
14
2
2
2
2
8
6
4
4
5
5
2
2
2
2
24
20
2
2
3
3
2
2
5
5
2
2
7
6
5
5
27
21
15
15
7
6
2
2
13
9
4
4
5
5
28
21
4
3
2
2
6
6
2
2
11
II
39
34
3
3
5
5
4
4
5
5
3
3
3
3
7
7
21
16
8
7
7
7
9
9
67
42
11
9
11
7
5
5
3
3
12
10
3
3
37
26
5
5
33
25
24
15
9
5
5
5
7
6
2
2
4
3
9
6
3
3
5
5
2
2
7
5
2
2
6
5
5
5
74
50
28
20
19
14
61
47
1
260
Table 72. — Number of FuU-time Law Enforcement Employees, Cities, October 31, 1990 — Continued
C.tv
Total
police
employees
Total
officers
Total
civilians
Cit>
Total
police
employees
Total
officers
KANSAS— Continiied
Kansas City
Kingman
Kinsley
Kiowa
Lacrosse
Lacygne
Lake Quivira
Lansing
Lawrence
Leavenworth
Leawood
Lebo
Lenexa
Le Roy
Liberal
Lyndon
Lyons
Maize
Marion
Marquette
Marysville
McPherson
Meade
Medicine Lodge
Merriam
Minneapolis
Mission
Moundridge
Mount Hope
Mulvane
Neodesba
Newton
North Newton ...
Norton
Oakley
Oberlin
Olathe
Osage City
Osborne
Oswego
Ottawa
Overland Park ...
Oxford
Paola
Park City
Parker
Parsons
Pawnee Rock
Pittsburg
Prairie Village ...
Pratt
Quinter
Roeland Park ....
Rossville
Russell
SL Francis
St. John
St. Marys
Scott City
Sedan
Sedgwick
Seneca
Shawnee
Silver Lake
Smith Center ....
South Haven
South Hutchinson
Spring Hill
Stafford
Steriing
Stockton
Sublette
Tonganoue
Topeka
Towanda
423
10
3
2
3
2
9
102
60
48
1
91
1
31
2
6
3
3
1
6
25
3
4
30
5
18
3
1
13
7
23
1
6
10
4
102
6
3
5
28
171
2
15
10
1
32
I
43
48
15
I
10
1
I
4
5
9
4
2
5
65
I
3
1
6
5
4
5
4
2
4
349
2
297
6
3
2
3
1
2
8
73
45
35
1
54
1
25
2
5
2
3
1
5
24
3
4
25
5
17
3
1
8
6
19
1
5
10
4
80
6
3
5
25
133
2
10
9
1
24
36
38
14
1
9
1
7
1
4
5
6
4
2
5
50
1
3
1
5
5
4
4
4
2
4
253
2
126
4
37
22
15
KANSAS— Contioued
Ulysses
Valley Falls .
Wa Keeney
Wakefield ...
Wamego
Waterville
Wellington
WeUsviUe . . .
Westwood
Wichiu
Winfield ....
Yates Center
KENTUCKY
96
Adairville
Albany
Alexandria
Anchorage
Ashland
Auburn
Audubon Park .
Augusta
Baibourville . . .
Bardstown
BeattyviUe
Beaver Dam . . .
Bellevue
Benham
Benton
Berea
Bloomfield
Bowling Green
Brandenburg . . .
Brodhead
Brooksville
Brownsville
Burgin
Burkesville
Biunside
Cadiz
Calhoun
Calvert City ...
Campbellsburg .
Campbellsville
Carlisle
CarroUton
Catlettsbuig
Cave City
Central City ...
Qarkson
Qinton
Qoverport
Cold Spring ...
Columbia
Corbin
Covington
Crab Orchard
Crittenden
Crofton
Cimiberland . . .
Cynthiana
Danville
Dawson Springs
Dayton
Dixie
Dr> Ridge
Earlington
Edgewood
Edmonton
Elizabethtown
Elkton
Elsmere
Eminence
Erianger
6
10
16
12
589
445
25
19
3
13
55
48
13
18
14
10
23
17
89
70
13
12
10
10
20
16
105
89
18
15
23
17
10
43
31
6
10
6
29
24
261
Table 72.— Number of Full-time Law Enforcement Employees, Cities, October 31, 1990— Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
Total
civilians
KENTUCKY— Continued
Evarts
Falmouth
Ratwoods
Fleming-Neon
Flemingsburg
Florence
Fort Mitchell
Fort Thomas
Fort Wright
Frankfort
Franklin
Fulton
Gamaliel
Georgetown
Glasgow
Grayson
Greensburg
Greenup
Greenville
Guthrie
Hardinsburg
Harlan
Harrodsburg
Hartford
Hawesville
Hazard
Henderson
Hickman
Highland Heights
Hillview
Hindman
Hodgenville
HopkinsviUe
Horse Cave
Hustonville
Independence
Indian Hills
Irvine
Irvington
Jackson
Jamestown
Jefiersontown
Jenkins
Junction City
LaCenter
La Grange
Lakeside Park
Lancaster
Lawrenceburg
Lebanon
Lebanon Junction
Leitchfield
Lewisburg
Lewisport
Lexington
Liberty
Livermore
London
Louisa
Louisville
Loyall
Ludlow
Lynch
Madisonville
Manchester
Marion
Martin
Mayfield
Maysville
Middlesboro
Millersburg
Minor Lane Heights
Monticello
Morehead
Morganfield
2
13
11
3
10
43
12
24
8
59
22
13
2
38
22
8
9
2
7
4
3
13
21
4
1
23
56
10
5
1
2
g
49
4
1
13
6
12
2
9
4
43
5
3
1
8
7
7
16
16
2
15
1
I
516
6
1
17
11
829
1
8
3
47
12
6
4
30
26
25
2
2
10
20
15
2
9
7
2
6
40
12
23
7
50
15
9
2
28
22
g
5
2
7
4
3
9
16
4
1
21
48
6
5
1
2
6
44
4
1
10
6
8
2
9
4
36
4
3
1
7
7
7
12
11
2
10
1
1
385
4
1
17
7
649
1
4
2
38
8
6
4
25
21
21
2
2
8
14
10
131
2
4
180
KENTUCKY— Continued
Morgantown
Mount Sterling
Mount Vernon
Mount Washington
Muldraugh
Munfordville
Murray
New Castle
New Haven
Newport
Nicholasville
Nortonville
Oak Grove
Olive Hill
Owensboro
Owenton
Owingsville
Paducah
Paintsville
Paris
Park City
Park HiUs
Perryville
Pewee Valley
Pikeville
Pineville
Prestonsburg
Princeton
Prospect
Providence
Raceland
RadclifT
Ravenna
Richmond
Russell
Russell Springs
Russellville
St. Matthews
Salyersville
Scottsville
Sebree
Shelbyville
Shepherdsville
Shively
Somerset
Southgate
Springfield
Stanford
Stanton
Sturgis
Taylor Mill
Taylorsville
Tompkinsville
Uniontown
Vanceburg
Versailles
Villa HiUs
Vine Grove
Walton
Warsaw
West Buechel
West Liberty
West Pointe
Wheelwright
Whitesburg
Wilder
Williamsburg
Williamstown
Wilmore
Winchester
Wingo
Worthington
5
19
8
6
2
1
29
2
1
52
34
1
6
6
122
3
3
78
11
21
2
6
1
3
20
7
18
14
5
9
3
38
2
48
13
4
28
31
4
16
1
16
6
26
28
5
6
ID
6
5
6
2
12
2
4
22
6
6
3
3
7
10
4
1
5
5
9
7
5
37
1
2
5
14
7
6
2
1
24
2
1
45
28
1
6
5
96
3
3
72
10
17
2
5
1
3
14
6
14
13
5
9
3
29
2
39
13
4
20
26
4
12
1
14
6
21
26
5
6
6
6
5
6
2
9
2
4
17
6
5
3
2
7
6
2
1
5
5
9
3
5
26
1
2
262
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
Alexandria . . .
Ballwin
Baton Rouge
Berwick
Bogalusa
Bossier City
Breaux Bridge
Church Point
Crowley
DeQuincy
Farmerville
Franklin
Franklinton
Gonzales
Gretna
Haraban
Haynesville
Houma
Jeanerette
Jena
Jennings
Jonesboro
Kaplan
Kenner
Kentwood
Kinder
Lafayette
Lake Charles
Leesville
Lockport
Mamou
Mandeville . . .
Minden
Monroe
Morgan City .
New Iberia ..
New Orleans'
Patterson
Pineville
Plaquemine
Ponchatoula
Ruston
St. Martinville
Sbreveport . . .
Simmesport
Tallulah
Vidalia
ViUe Platte ..
Vinton
Vivian
Welsh
Westlake
West Monroe
Westwego
Winnfield ....
Zachary
LOUISIANA
MAINE
Ashland
Auburn
Augusta
Baileyville
Bangor
Bar Harbor
Bath
Belfast
Berwick
Bethel
Biddeford
Boothbay Harbor
Brewer
Bridgton
Brunswick
Bucksport
151
5
755
9
44
133
14
14
28
9
9
20
13
28
76
24
8
65
18
4
31
15
16
160
10
6
228
130
33
4
12
30
23
193
46
75
1.734
9
41
28
13
40
20
542
4
14
13
28
12
II
8
15
57
20
16
24
128
4
629
9
34
118
14
14
26
9
9
14
13
28
65
24
8
50
18
4
30
15
16
113
10
6
163
127
27
4
12
30
23
142
42
58
9
38
27
13
33
15
441
4
14
13
28
12
11
8
12
54
20
15
22
23
1
126
15
47
7
5
101
MAINE— Continued
Buxton
Calais
Camden
Cape Elizabeth ...
Caribou
Carrabassett Valley
Cumberland
Damariscotta
Dexter
Dixfield
Dover-Foxcroft . . .
East Millinocket ..
Eastport
Eliot
Ellsworth
Fairfield
Falmouth
Farmington
Fort Fairfield
Fort Kent
Freeport
Fryeburg
Gardiner
Gorham
Hallowell
Hampden
Houlton
Jay
Jonesport
Kennebunk
Kennebunkport
Kittery
Lebanon
Lewiston
Limestone
Lincoln
Lisbon
Livermore Falls ...
Lubec
Machias
Madawaska
Madison
Mechanic Falls
Medway
Mexico
Milbridge
Millinocket
Milo
Monmouth
Mount Desert
Newport
North Berwick
Norway
Oakland
Ogunquit
Old Orchard Beach
Old Town
Orono
Oxford
Paris
Phippsburg
Pittsfield
Portland
Presque Isle
Princeton
Richmond
Rockland
Rockport
Rumford
Sabatius
Saco
Sanford
Scarborough
Skowhegan
South Berwick
2
2
11
7
14
9
17
12
16
15
2
1
13
10
2
2
5
5
3
3
4
4
5
5
4
4
8
7
14
10
10
9
17
12
9
8
5
4
8
4
16
11
4
4
11
10
20
14
5
5
12
7
18
13
11
7
21
15
16
11
22
17
8
7
93
76
4
4
8
7
19
14
11
6
2
2
3
3
7
6
5
5
3
3
2
2
4
4
18
14
3
3
3
3
9
5
4
4
8
7
5
5
7
6
12
7
15
12
17
13
18
13
3
3
7
6
9
5
203
155
25
20
2
2
4
4
24
17
6
4
17
16
5
4
31
26
44
33
32
23
16
14
13
8
See footnote at end of table.
263
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued
City
Tolal
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
ofTicers
Total
civilians
MAINE— CoDtinued
South Portland
Southwest Harbor
Standish
Thomaston
Topsham
Van Buren
Waldoboro
Washburn
Waterville
Wells
Westbrook
Wilton
Windham
Winslow
Winthrop
Wiscasset
Yarmouth
York
MARYLAND
Aberdeen
Annapolis
Baltimore
Bel Air
Berlin
Berwyn Heights
Bladensburg
Brunswick
Cambridge
Capitol Heights
Centreville
Chestertown
Cheverly
Cottage City
Crisfield
Cumberland
Delmar
Denton
District Heights
Easton
Edmonston
Elkton
Federalsburg
Forest Heights
Frederick
Frostburg
Fruitland
Glenarden
Goldsboro
Great Oaks
Greenbelt
Greensboro
Hagerstown
Hampstead
Hancock
Havre de Grace
Hurlock
Hyattsville
Landover Hills
La Plata
Laurel
Lonaconing
Luke
Manchester
Momingside
Mount Rainier
North Beach
North East
Oakland
Ocean City
Ocean Pines
Oxford
Pocomoke City
Port De[)osit
46
152
3,390
41
12
5
19
13
46
8
7
8
II
3
9
56
47
4
30
7
5
87
17
9
II
1
11
56
3
111
3
4
30
6
31
3
4
57
2
2
3
5
11
9
7
5
98
15
3
13
4
37
114
2,839
30
7
3
15
II
34
7
7
7
10
3
8
51
7
9
7
33
4
22
7
4
73
13
8
9
1
6
40
3
93
3
3
22
6
24
3
4
42
2
2
3
5
6
9
6
4
77
11
3
9
4
9
38
551
11
5
2
4
2
12
1
MARYLAND— Continued
Preston
Princess Anne
Ridgely
Rising Sun
Riverdale
Rock Hall
St. Michaels
Salisbury
Smithsburg
Snow Hill
Sparrows Point
Sykesville
Takoma Park
Taneytown
Thurmont
University Park
Upper Marlboro
Westemport
Westminster
MASSACHUSETTS
Acton
Acushnet
Amesbury
Amherst
Andover
Arlington
Ashbumham
Ashby
Ashfield
Ashland
Alhol
Auburn
Avon
Ayer
Barnstable
Bedford
Belchertown
Bellingham
Belmont
Berlin
Beverly
Blackstone
Bolton
Boston
Bourne
Boxboro
Boxford
Boylston
Braintree
Brewster
Bridgewater
Brookline
Cambridge
Carver
Charlton
Chatham
Chelmsford
Chicopee
Clinton
Cohasset
Concord
Dalton
Danvers
Dartmouth
Dedham
Deerfield
Dennis
Dighton
Douglas
Dover
Dracut
Duxbury
East Bridgewater
35
15
34
42
66
78
6
2
2
20
25
30
17
19
100
27
15
27
58
5
86
16
8
2,662
37
7
11
7
85
20
31
158
295
19
16
24
63
119
24
16
37
12
54
59
62
6
43
10
10
15
37
27
21
30
13
29
32
50
68
5
2
2
19
20
24
14
14
89
26
11
22
52
4
83
13
4
1,979
30
6
11
7
77
16
30
147
265
14
12
22
54
116
23
16
31
II
44
50
59
5
34
10
7
15
35
25
21
264
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
MASSACHUSETTS— ConHnued
MASSACHUSETTS— Continued
Easlham
East Longmeadow
Easton
Edgartown
Everett
Fall River
Fitchburg
Foxboro
Framingham
Franklin
Freetown
Gardner
Georgetown
Gloucester
Granby
Hadley
Hamilton
Hampden
Hanson
Hardwick
Harvard
Haverhill
Hingham
Holden
HoUiston
Hopedale
Hopkinton
Hudson
Hull
Ipswich
Lakeville
Lawrence
Lee
Leicester
Leominster
Lexington
Lincoln
Littleton
Longmeadow
Ludlow
Lynn
Lynnfield
Maiden
Manchester
Mansfield
Marblehead
Marion
Marlborough
Marshfield
Mashpee
Mattapoisett
Maynard
Medfield
Medford
Melrose
Mendon
Methuen
Middleboro
Milford
Millbury
Milton
Montague
Nahant
Nantucket
Needham
New Bedford
Newton
North Adams
Northampton
North Andover . . .
North Attleboro ..
Northbridge
Norton
Norwood
Orange
21
25
29
13
84
287
86
27
120
34
19
36
12
64
10
7
15
13
15
2
10
100
48
21
21
U
19
36
31
24
16
163
II
18
72
59
16
14
31
32
168
25
100
16
31
40
13
65
43
31
16
24
22
125
55
6
80
45
40
22
56
18
11
29
50
267
238
33
60
47
52
18
25
73
15
15
23
28
12
78
225
76
26
108
29
14
34
8
59
8
5
14
9
13
2
6
91
43
19
21
10
14
31
26
23
14
150
10
14
66
52
12
13
31
31
153
19
90
14
26
38
II
62
39
23
16
22
17
117
53
6
66
39
39
17
54
16
10
24
47
244
204
29
57
39
42
17
22
63
II
Orleans
Oxford
Peabody
Pembroke
Pepperell
Princeton
Provincetown . . .
Quincy
Raynham
Reading
Rehoboth
Rockport
Rowley
Rutland
Salem
Saugus
Scituate
Seekonk
Sharon
Sherbom
Shirley
Somerset
Southboro
South Hadley ...
Spencer
Springfield
Sterling
Stockbridge
Stonehara
Stoughton
Stow
Sturbridge
Sudbury
Sunderland
Swampscott
Taunton
Tisbury
Uxbridge
Wakefield
Walpole
Waltham
Ware
Wareham
Watertown
Webster
Welineet
Wenham
Westboro
West Boylston ...
West Bridgewater
Westfield
Westford
Westminster
Weston
Westport
West Springfield
Westwood
Weymouth
Wilbraham
Wilmington
Winchendon
Winchester
Wobum
Worthington
Yarmouth
MICHIGAN
Adrian
Albee Township
Albion
Algonac
Allegan
Allen Park
Alma
27
20
23
18
99
91
29
28
13
12
4
1
22
17
232
192
24
18
43
37
26
21
17
17
13
8
17
15
51
51
36
30
36
31
29
24
15
15
11
10
35
30
15
12
29
28
15
12
620
456
14
II
6
6
44
39
55
53
17
12
15
II
32
26
4
4
32
31
103
98
15
13
17
16
47
45
40
37
146
138
17
17
48
45
84
72
28
26
23
21
II
10
30
25
13
12
19
18
69
64
35
27
9
8
29
25
27
23
74
67
32
30
106
94
25
24
42
40
11
10
46
39
80
74
7
7
55
45
265
Table 72.— Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
MICHIGAN— Condnned
Almont
Alpena
Ann Arbor
Arbela Township
Armada
Atlas Township
Auburn
Auburn Hills
Augusta
Bad Axe
Bangor
Baraga
Barry Township
Bath Township
Battle Creek
Bay City
Beaverton
Bedford Township
Belding
Bellaire
Belleville
Benton Harbor
B«nton Township
Berkley
Berrien Springs-Oronoko
Beverly Hills
Big Rapids
Birch Run
Birmingham
Blackman Township
Blissfield
Bloomfield HiUs
Bloomfield Township
Bloomingdale
Boyne City
Breckenridge
Bridgeport Township
Bridgman
Brighton
Bronson
Brown City
Brownstown Township
Buchanan
Buena Vista Charter Township
Burr Oak
Burton
Cadillac
Calumet
Cambridge Township
Canton Township
Capac
Carleton
Caio
CarroUton Township
Carson City
CarsonviUe
CaseviUe
CaseviUe Township
Cass City
Cassopolis
Cedar Springs
Center Line
CentrevUle
Charlevoix
Charlotte
Cheboygan
Chelsea
Chesaning
Chesterfield Township
Chikaming Township
Chocolay Township ..
Clare
Oawson
Qay Township
Ointon
MICHIGAN— Continued
4
20
206
1
4
3
2
49
1
7
4
2
2
7
150
80
2
10
10
1
9
26
27
35
9
30
20
2
58
18
5
27
84
1
10
3
7
4
13
5
1
30
10
17
I
38
19
2
1
67
6
3
8
6
3
1
2
2
3
6
6
31
2
6
21
11
10
5
15
1
4
9
22
17
3
4
16
170
4
3
1
38
1
6
4
2
2
6
107
73
2
9
9
1
8
20
22
32
8
26
15
2
37
17
4
23
68
1
6
3
6
4
12
5
23
9
15
1
33
15
2
1
47
3
3
7
5
3
1
2
2
3
5
5
25
2
6
20
11
7
5
12
1
3
7
20
12
3
Clio-Vienna
Coldwater
Coleman
Coloma
Coloma Township
Colon
Columbia Township
Concord Township
Constantino
Coopersville
Corunna
Covert Township
Croswell
Crystal Falls
Davison
Davison Township
Dearborn
Dearborn Heights
Decatur
Deckerville
Denmark Township . . .
Detour Village
Detroit
De Witt
De Witt Township
Douglas
Dowagiac
Dryden Township
Durand
East Detroit
East Grand Rapids
East Jordan
East Lansing
East Tawas
Eaton Rapids
Eau Claire
Ecorse
Elk Rapids
Elkton
Emmett Township
Erie Township
Escanaba
Essexville
Evart
Fairhaven Township
Farmington
Farmington Hills
Fenton
Femdale
Flat Rock
Flint
Flint Township
Flushing
Flushing Township —
Forsyth Township
Frankenmuth
Frankfort
Franklin
Fraser
Fremont
Frost Township
Galesburg
Garden City
Gaylord
Genesee Township —
Gerrish Township
Gilbraltar
Gladstone
Gladwin
Gobies
Grand Beach
Grand Blanc
Grand Blanc Township
Grand Haven
Grand Ledge
10
9
18
14
2
2
4
3
6
5
2
2
4
4
2
2
4
4
5
5
5
5
5
5
5
5
5
5
9
7
11
9
228
198
124
91
5
1
5
1
1
,113
1
4,508
6
5
12
10
3
3
17
13
2
2
5
5
58
50
30
27
5
4
84
56
4
4
9
8
38
31
3
3
2
2
9
8
3
2
44
37
12
9
2
2
30
23
139
97
18
13
61
52
22
21
369
304
30
26
12
11
7
6
8
7
5
5
4
4
11
10
49
42
7
6
2
1
56
43
8
7
15
14
3
3
14
13
12
12
3
3
1
1
3
3
21
16
32
25
29
22
14
13
266
Table 72. — Number of Full-dme Law Enforcement Employees, Cities, October 31, 1990 — Continued
City
Total
police
employees
Total
ofTicers
Total
civilians
City
Total
police
employees
Total
ofTicers
MICHIGAN— Continiwd
Grand Rapids
Grandville
Grayling
Green Oak Township
Greenville
Grosse lie Township
Grosse Pointe
Grosse Pointe Farms
Grosse Pointe Park
Grosse Pointe Shores
Grosse Pointe Woods
Hamburg Township
Hampton Township
Hamtramck
Hancock
Harbor Beach
Harbor Springs
Harper Woods
Hart
Hartford
Hastings
Hazel Park
Hesperia
Highland Park
HiUsdale-
Holland
HoUy
Homer
Hopkins
Houghton
Howard City
Howard Township
HoweU
Hudson
Hudsonville
Huntington Woods ..
Huron Township
Imlay City
Ionia
Iron Mountain
Iron River
Ironwood
Ishpeming
Ishpeming Township
Ithaca
Jackson
Joncsville
Kalamazoo
Kalamazoo Township
Kalkaska
Keego Harbor
Kentwood
Kingsford
Laingsburg
Lake Angelus
Lake Linden
Lake Odessa
Lake Orion
L'Anse
Lansing
Lansing Township ...
Lapeer
Lathnip Village
Laurium
Lawrence
Lawton
Lennon
Leoni Township
Leslie
Lexington
Lincoln Park
Lincoln Township ...
Linden
Litchfield
Livonia
353
24
6
8
23
22
30
36
46
22
49
11
11
53
6
4
6
45
3
6
18
41
2
121
20
62
12
3
4
9
4
2
15
3
6
20
II
10
22
12
4
21
13
1
5
95
4
295
36
5
6
44
17
2
3
I
3
7
5
349
16
18
12
4
4
5
2
4
3
4
70
10
3
4
173
276
19
5
7
17
17
25
31
43
18
43
10
10
53
6
4
5
1
37
8
3
6
13
34
?
96
25
15
50
12
8
3
3
8
1
?
14
3
5
15
7
9
17
P
4
16
12
1
4
63
32
4
240
55
27
4
5
38
6
15
2
•)
3
3
4
3
5
257
92
15
1
16
2
9
3
4
3
1
5
4
1
1
4
62
8
8
2
3
4
149
24
MICHIGAN— Continued
Lowell
Ludington
Luna Pier
Lyon Township
Mackinac Island
Mackinaw City
Madison Heights
Mancelona
Manchester Township
Manistee
Manistique
Manton
Maple Grove Township
Marcellus
Marenisco Township
Marine City
Marion
Marlette
Marquette
Marshall
Martin
Marysville
Mason
Mattawan
Mayville
Melvindale
Memphis
Menominee
Metro Beach
Michiana
Middleville
Midland
Midland Township
Milan
Milford
Millington
Mills Township
Monroe
Montague
Montrose
Montrose Township
Morenci
Morrice
Mount Clemens
Mount Morris
Mount Morris Township
Mount Pleasant
Mundy Township
Munising
Muskegon
Muskegon Heights
Muskegon Township
Napoleon Township
Nashville
Negaunee
New Baltimore
Newberry
New BufTalo
New Haven
New Lothrop
Niles
Niles Township
Northfield Township
North Muskegon
Northville
Northville Township
Norton Shores
Norvell Township
Norway
Novi
Oak Park
Olivet
Onaway
Ontonagon
Ontwa Township-Edwardsburgh
7
6
18
14
4
4
2
2
5
4
4
4
78
61
3
3
15
14
II
10
2
2
3
3
10
8
3
3
42
34
19
14
2
2
15
13
10
9
2
2
26
24
2
2
20
16
6
6
2
2
3
3
44
42
3
3
11
7
18
12
3
3
53
48
6
6
4
4
4
4
4
4
34
32
7
6
27
25
26
22
10
8
5
5
69
60
23
20
12
11
3
3
2
2
II
10
9
8
4
4
5
5
6
5
2
2
25
18
8
8
3
3
7
6
21
17
22
18
25
23
5
5
74
50
78
71
2
2
2
2
8
5
267
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
Total
civilians
MICHIGAN— Continued
Orchard I-ake
Osocda-Ausable Townsliip
Otisville
Otsego
Owosso
Oxford
Parchment
Parma
Paw Paw
Pennfield Township
Pentwater
Perry
Petoskey
Pigeon
Pinckney
Pinconning
Pittsfield Township
Plainwell
Pleasant Ridge
Plymouth
Plymouth Township
Portage
Port Austin
Port Huron
Portland
Port Sanilac
PotterviUe
Prairieville Township
Quincy
Reading
Redford Township
Reed City
Republic Township
Richfield Township (Genesee County) ....
Richfield Township (Roscommon County)
Richland
Richland Township
Richmond
Richmond Township
River Rouge
Riverview
Rochester
Rockford
Rockwood
Rogers City
Romeo
Romulus
Roosevelt Park
Rose City
Roseville
Ross Township
Royal Oak
Royal Oak Township
Saginaw
Saginaw Township
St. Charles
St. Clair
St. Clair Shores
St. Ignace
St. Johns
St. Joseph
St. Joseph Township
St. Lxjuis
Saline
Sand Lake
Sandusky
Saugatuck
Sault Ste. Marie
Schoolcraft
Scottville
Sebewaing
Shelby
Shelby Township
Somerset Township
Southfield
MICHIGAN— Continued
9
15
3
g
21
17
4
2
9
10
3
6
15
I
4
3
25
8
9
22
29
63
2
66
6
1
3
1
7
2
79
6
1
6
3
4
3
10
I
33
29
20
g
9
7
10
69
7
I
95
2
103
13
135
43
3
10
88
6
16
25
9
9
17
2
4
3
27
2
3
4
3
48
1
208
7
7
54
6
1
83
2
88
9
121
40
3
9
83
5
12
19
8
6
12
2
4
2
23
2
3
4
3
39
1
161
17
9
47
Southgate
South Haven
South Lyon
South Rockwood
Sparta
Spaulding Township
Springfield
Spring Lake-Ferrysburg ...
Springport Township
Stanton
Sterling Heights
Sturgis
Sumpter Township
Sunfield
Swartz Creek
Sylvan Lake
Taylor
Tecumseh
Thomas Township
Three Oaks
Three Rivers
Tittabawassee Township
Traverse City
Trenton
Troy
Tuscarora Township
Twin City
Ubiy
Unadilla Township
Union City
Unionville
Utica
Van Buren Township
Vassar
Vicksburg
Walker
Walled Lake
Warren
Waterford Township
Watervliet
Wayland
Wayne
Webberville
West Bloomfield Township
West Branch
Westland
White Cloud
Whitehall
White Lake Township
White Pigeon
Williamston
Wixom
Wolverine Lake
Woodhaven
Woodstock Township
Wyandotte
Wyoming
Yale
Ypsilanti
Zeeland
Zilwaukee
MINNESOTA
Albert Lea .
Alexandria .
Anoka
Apple Valley
Austin
Babbitt
Baxter
Bayport
Belle Plaine
Bemidji
Benson
56
46
19
15
9
8
8
6
10
9
10
1
9
1
221
1
166
18
15
6
5
g
7
5
5
123
101
15
14
2
2
4
4
17
13
2
2
32
31
56
49
170
127
4
4
4
4
1
1
4
1
3
2
2
17
12
9
7
6
6
5
4
36
29
17
13
2gO
236
102
78
2
2
4
4
52
38
3
3
65
49
4
3
110
93
2
2
6
6
26
18
3
3
4
4
17
14
9
7
26
24
60
49
101
75
3
3
59
47
7
6
2
2
35
26
22
15
35
27
50
34
4g
31
4
4
4
4
5
5
5
5
21
|g
5
5
268
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued
City
Total
police
employees
Total
ofTicers
Total
civilians
City
Total
police
einployees
Total
officers
MINNESOTA— ContiiiiKd
Big Lake
Blaine
Bloomington
Blue Earth
Brainerd
Breckenridge
Brooklyn Center
Brooklyn Park
BufTalo
BumsviUe
Caledonia
Cambridge
Cannon Falls
Champlin
Chanhassen
Chaska
Chisholm
Circle Pines-Lexington
Cloquet
Cold Spring
Columbia Heights
Coon Rapids
Corcoran
Cottage Grove
Crookston
Crosby
Crystal
Dawson
Dayton
Deephaven
Detroit Lakes
Dilworth
Duluth
Eagan
East Grand Forks
Eden Prairie
Edina
Elk River
Ely
Eveleth
Fairmont
Faribault
Farmington
Fergus Falls
Forest Lake
Fridley
Gilbert
Glencoe
Glenwood
Golden Valley
Goodview
Grand Rapids
Granite Falls
Hastings
Hermantown
Hibbing
Hopkins
Hoyt Lakes
Hutchinson
International Falls
Inver Grove Heights
Jackson
Jordan
Kasson
Kenyon
La Crescent
Lake City
Lakefield
Lakeville
LeSueur
Lino Lakes
Litchfield
Little Falls
Long Prairie
Luveme
MINNESOTA— Condnued
5
42
121
5
23
10
53
67
9
67
3
g
6
17
6
14
13
9
17
4
28
Sg
4
34
15
8
36
3
2
8
13
4
145
58
22
51
52
17
9
10
17
30
8
21
10
44
6
8
3
44
4
15
5
21
7
30
32
5
22
14
31
6
2
4
3
5
8
3
33
10
12
10
13
5
5
4
34
95
5
19
6
38
55
8
54
3
7
5
16
1
11
12
8
16
4
21
50
3
22
13
5
28
3
2
7
11
3
125
46
21
42
47
13
8
9
14
23
7
17
9
33
6
7
3
30
4
12
5
18
6
29
23
5
17
14
24
6
2
4
3
4
7
3
23
5
9
9
II
5
5
Madison
Mankato
Maple Grove
Maplewood
Marshall
Medina
Melrose
Mendota Heights
Minneapolis
Minnetonka
Montevideo
Moorhead
Mora
Morris
Mound
Mounds View
New Brighton
New Hope
Newport
New Prague
New Ulm
Northfield
North Mankato
North St. Paul
Oakdale
Oak Park Heights
Olivia
Orono
Ortonville
Osseo
Owatonna
Park Rapids
Pipestone
Plainview
Plymouth
Princeton
Prior Lake
Proctor
Ramsey
Red Wing
Redwood Falls
Richfield
Robbinsdale
Rochester
Rockford
Roseau
Rosemount
Roseville
St. Anthony
St Bonifacius-Minnetrista
St. Cloud
St. James
St. Joseph
St. Louis Park
St. Paul
St. Paul Park
St. Peter
Sartell
Sauk Centre
Sauk Rapids
Savage
Shakopee
Silver Bay
Slayton
Sleepy Eye
South Lake Minnetonka
South St. Paul
Springfield
Spring Lake Park
Staples
Stillwater
Thief River Falls
Tracy
Two Harl)ors
Virginia
3
3
42
35
39
32
54
39
21
17
5
5
4
4
17
15
899
794
60
44
13
8
48
39
7
6
8
7
14
13
15
14
21
19
31
26
7
7
7
6
22
19
20
15
9
8
16
14
21
18
8
7
4
4
16
15
6
5
3
3
24
22
5
5
5
5
3
3
53
41
7
6
14
13
6
5
11
9
24
23
7
6
52
43
26
18
120
96
4
4
4
4
12
11
48
44
13
12
9
7
71
61
7
6
4
4
62
48
674
528
6
6
16
11
6
6
8
5
9
8
14
12
20
17
4
4
5
5
5
5
15
14
31
25
4
4
10
9
5
5
19
16
16
15
4
4
9
8
27
25
269
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
ofTicers
Total
civilians
MINNESOTA— ConHnued
Wabasha
Wadena
Waite Park
Warroad
Waseca
Wayzata
Wells
West Hennepin .
West St. Paul ..
White Bear Lake
Willmar
Windom
Winona
Woodbury
Worthington
Aberdeen
Ackerman
Amory
Batesville
Bay St. Louis
Belzoni
Booneville
Brandon
Calhoun City
Clarksdale ...
Clinton
Collins
Columbus
Como
Corinth
De Kalb
Drew
Eupora
Flowood
Forest
Fulton
Gloster
Greenville
Greenwood
Grenada
Gulfpon
Hattiesburg
Hazlehurst . . .
Hernando
Houston
Indianola
Inverness
Jackson
Kosciusko
Laurel
Leakesville . . .
Long Beach ..
Louisville
Lucedale
Macon
Madison
McComb
Meridian
Morton
Moss Point
Natchez
Newton
Ocean Springs
Okolona
Oxford
Pascagoula . . .
Pass Christian
Pearl
Pelahatchie . .
Petal
Philadelphia
Picayune
MISSISSIPPI
MISSISSIPPI— Continued
20
5
19
27
20
14
21
24
6
43
37
7
63
5
32
3
10
g
21
13
8
9
126
51
42
106
126
13
7
12
29
2
457
23
73
2
26
22
14
6
12
36
121
9
37
69
12
36
8
42
83
18
36
3
16
23
34
14
5
19
19
15
6
17
16
6
33
26
7
55
5
28
3
6
6
16
9
8
5
91
39
33
72
83
10
7
8
24
2
344
20
53
2
18
17
9
6
9
23
93
9
33
53
8
27
8
36
56
13
28
3
11
16
23
113
3
20
Purvis
Raymond . . .
Ridgeland . . .
Rolling Fork
Ruleville
Senatobia . . .
Starkville . . .
Stonewall . . .
Sunflower . . .
Tupelo
Utica
Verona
Vicksburg . . .
Water Valley
Waveland ...
Wiggins
Winona
Yazoo City .
MISSOURI
Arnold
Aurora
Ballwin
Bellefontaine Neighbors
Bel-Nor
Bel-Ridge
Belton
Berkeley
Blue Springs
Bolivar
Bonne Terre
Boonville
Branson
Breckenridge Hills
Brentwood
Bridgeton
Brookfield
Buckner
Butler
California
Calverton Park
Cameron
Canton
Cape Girardeau
Carrollton
Carthage
Centralia
Chaffee
Charlack
Charleston
Chesterfield
Claycomo
Clayton
Clinton
Columbia
Cool Valley
Country Club Hills ...
Crestwood
Creve Coeur
Crystal City
Desoto
Des Peres
Edmundson
Eldon
Ellisville
Eureka
Excelsior Springs
Farmington
Fayette
Fenton
Ferguson
Festus
Flat River
Rorissant
46
13
52
23
9
14
36
51
74
15
7
19
25
12
26
66
17
6
II
4
5
14
9
80
10
24
10
9
II
17
61
8
66
19
125
II
9
37
47
15
17
39
8
14
22
15
27
25
.5
27
59
26
14
87
5
5
31
5
7
II
27
3
4
72
3
5
60
9
13
8
10
25
36
II
40
23
8
13
26
41
50
10
7
14
21
II
20
56
10
5
7
4
5
ID
5
58
10
22
5
5
8
15
56
7
55
15
97
9
7
29
38
II
12
33
7
10
21
14
19
15
4
20
52
18
8
71
270
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued
City
Total
police
employees
Total
ofTicets
Total
civilians
City
Total
police
employees
Total
officers
MISSOURI— Continued
Frontenac
Fulton
Garden City
Gladstone
Glendale
Grain Valley
Grandview
Hanley Hills
Hannibal
Harrisonville
Hazelwood
Hennann
Hillsdale
Independence
Ironton
Jackson
JefTerson City
Jennings
Joplin
Kansas City
Kearney
Kennett
Kirksville
Kirkwood
Ladue
Lake Lotawana ...
Lake St. Louis ...
Lamar
Lebanon
Lees Summit
Lexington
Liberty
Louisiana
Macon
Maiden
Manchester
Maplewood
Marceline
Marlborough
Marshall
Maryland Heights
Maryville
Mexico
Moberly
Moline Acres
Monett
Neosho
Nevada
Newburg
New Madrid
Normandy
North Kansas City
Northwoods
Oakview
Odessa
O'Fallon
Olivette
Overland
Pacific
Pagedale
Parkville
Pevely
Pine Lawn
Plattsburg
Pleasant Hill
Poplar Bluff
Raytown
Republic
Richmond
Richmond Heights
Riverside
Riverview
Rock HiU
RoUa
St. Ann
23
23
2
62
13
8
58
6
46
22
50
6
13
221
4
15
81
58
79
1,764
5
23
28
63
36
3
20
8
22
85
8
37
12
11
II
21
26
6
8
29
73
21
33
39
7
20
29
23
2
6
20
38
20
1
6
41
27
64
17
20
7
16
16
4
10
45
75
12
14
31
17
9
15
34
46
18
19
2
51
10
7
47
6
31
14
38
5
12
165
4
15
64
43
61
1,178
5
18
22
49
30
3
14
7
17
66
7
29
12
10
II
20
21
6
7
22
59
14
28
33
7
15
19
16
2
6
18
31
18
1
6
36
21
49
II
19
6
II
15
4
6
31
58
12
10
28
12
9
12
23
39
15
17
15
18
586
MISSOURI— ConHnued
St. Charles
Ste. Genevieve ...
St. George
John
Joseph
Louis
Peters
Robert
Savannah
Sedalia
Shrewsbury
Sikeston
Slater
Smithville
Springfield
Sugar Creek
Sullivan
Sunset Hills
Town and Country
Trenton
Union
University City ...
Valley Park
Vandalia
Vinila Park
Warrenton
Warrensburg
Warson Woods ...
Washington
Webb City
Webster Groves ..
Wellston
Wentzville
Weston
West Plains
Windsor
Woodson Terrace
MONTANA
Baker
Billings
Boulder
Columbia Falls
Conrad
East Helena
Eureka
Fort Benton
Glasgow
Glendive
Great Falls
Hamilton
Havre
Helena
Kalispell
Laurel
Lewistown
Livingston
Miles City-Custer County
Missoula
Plentywood
Poison
Red Lodge
Ronan City
St. Ignatius
Sidney
Thompson Falls
Troy
West Yellowstone
Whitefish
Whitehall
99
74
7
6
4
4
18
16
119
101
2,272
1,574
54
42
14
10
5
5
49
40
17
15
59
53
8
4
8
7
249
193
13
11
18
12
23
17
29
27
17
12
14
13
98
77
It
10
8
5
11
10
14
9
24
22
7
6
24
21
16
15
50
41
21
18
24
18
4
4
19
15
6
6
15
13
5
127
2
12
5
4
2
3
9
16
95
9
18
39
35
12
13
14
16
78
3
7
5
4
1
10
2
2
9
13
3
4
101
2
7
5
4
2
3
6
12
60
8
16
36
23
8
10
10
13
61
3
7.
5
4
I
9
2
2
5
8
2
NEBRASKA
Albion
271
Table 72. — Number of Fnll-time Law Enforcement Employees, Cities, October 31, 1990 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
NEBRASKA— Continiied
NEVADA— Continued
Alliance
Ashland
Auburn
Aurora
Beatrice
Bellevue
Blair
Broken Bow
Central City
Ctaadron
Columbus
Cozad
Crete
David City
Elkhom
Fairbury
Falls City
Fremont
Geneva
Gering
Gordon
Gothenburg
Grand Island ....
Hastings
Holdrege
Imperial
Kearney
KimbaU
La Vista
Lexington
Lincoln
Madison
McCook
Milford
Minden
MitcheU
Nebraska City ..
Norfolk
North Platte ....
Ogallala
Omaha
O'NeiU
Ord
Papillion
Pierce
Plattsmouth
Ralston
Schuyler
Scottsbluff
Seward
Sidney
South Sioux City
Stanton
Superior
Syracuse
Tecumseh
Tekamah
Valentine
VaUey
Wahoo
Wayne
West Point
WUber
York
NEVADA
Boulder City
Caliente
Carlin
Fallon
Henderson
Las Vegas Metropolitan Police Department
Jurisdiction
Lovelock
26
5
6
7
25
49
13
8
6
17
35
10
14
5
4
6
13
38
3
17
6
9
58
45
14
4
33
7
18
16
321
4
20
5
6
5
13
49
51
12
755
7
8
13
2
7
7
6
37
12
16
21
2
6
2
4
4
4
4
6
II
6
4
20
28
3
7
25
135
1,831
7
19
4
6
6
18
37
11
7
5
11
25
6
9
5
4
5
9
29
3
14
5
5
52
37
9
4
28
6
15
12
249
4
15
5
5
5
12
36
32
10
606
5
4
12
2
6
6
6
30
8
12
16
2
4
2
3
4
4
4
6
7
6
4
15
22
3
7
1
99
1,209
5
1
13
19
2
149
2
4
1
Reno
Sparks
Wells
Winnemucca
Yerington
NEW HAMPSHIRE
622
I
Allenstown
Alton
Amherst
Ashland
Atkinson
Auburn
Barrington
Bedford
Belmont
Beriin
Boscawen
Bow
Bristol
Charlestown
Chesterfield . . .
Claremont
Colebrook
Concord
Conway
Derry
Dover
Durham
Enfield
Epping
Exeter
Farmington . . ,
FitzwiUiam
Franklin
Goffstown
Gorham
Grantham
Greenville —
Hampstead
Hampton
Hanover
Hillsboro
Hinsdale
Holdemess
Hollis
Hooksett
Hudson
Jaffrey
Keene
Kingston
Laconia
Lancaster
Lebanon
Lee
Lincoln
Litchfield
Littleton
Londonderry .
Loudon
Manchester . .
Meredith
Merrimack
Milford
Milton
Moultonboro
Nashua
New Castle . .
New Hampton
Newington . . .
New London
Newmarket
Newport
Newton
460
114
4
18
6
8
13
6
2
5
7
32
12
25
5
11
7
8
4
31
3
90
32
54
61
18
6
6
29
10
3
20
35
9
2
5
3
40
26
8
5
4
13
32
38
15
57
6
43
7
30
5
13
7
10
44
4
211
14
41
22
4
7
208
3
5
10
10
11
17
5
309
72
4
14
7
6
7
12
5
2
4
6
24
10
23
4
7
6
4
4
25
3
71
22
44
47
15
5
5
21
9
2
18
24
8
2
5
3
32
16
8
4
4
8
20
27
12
43
5
32
6
27
4
8
6
9
33
4
166
11
31
19
3
6
156
3
5
9
6
10
13
4
272
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued
City
Total
police
employees
Total
ofTicers
Total
civilians
City
Total
police
employees
Total
officers
NEW HAMPSHIRE— Continued
NEW JERSEY— Continued
Northfield
North Hampton
Northumberland
Northwood
Pembroke
Peterborough . . .
Pittsfield
Plainfield
Plaistow
Plymouth
Portsmouth
Raymond
Rindge
Rochester
Rye
Salem
Sanbomton
Seabrook
Somersworth
Swanzey
Tilton
WakeHeld
WaterviUe VaUey
Webster
Wilton
Winchester
Windham
Wolfeboro
Woodstock
NEW JERSEY
Aberdeen Township ..
Absecon
Allendale
Allenhurst
Allentown
Alpha
Alpine
Andover Township . . .
Asbury Park
Atlantic City
Atlantic Highlands ...
Audubon
Audubon Park
Avalon
Avon-by-the-Sea
Bamegat Township ...
Barnngton
Bay Head
Bayonnc
Beach Haven
Beachwood
Bedminster Township
BeUeviUe
Bellmawr
Belmar
Belvidere
Bergenfield
Berkeley Heights
Berkeley Township ...
Berlin
Berlin Township
Bernards Township
Bemardsville
Beverly
Blairstown Township .
Bloomfleld
Bloomingdale
Bogota
Boonton
Boonton Township ...
Bordentown
Bordentown Township
Bound Brook
37
31
17
12
6
3
12
12
57
636
20
18
4
32
9
27
16
9
186
16
16
14
89
24
24
6
54
31
69
14
15
35
16
7
10
130
15
21
22
9
13
20
23-
3
1
10
1
10
2
4
■>
12
5
10
7
63
14
8
1
<;
42
9
8
1
53
16
5
18
4
19
7
4
1
8
1
8
1
6
1
1
5
4
1
14
5
9
3
4
30
7
28
3
14
3
8
4
6
1
17
7
5
53
4
425
211
15
5
17
1
4
24
8
9
22
5
15
1
8
1
177
9
14
2
14
2
13
1
86
3
18
6
19
5
6
48
6
25
6
57
12
12
2
14
1
26
9
15
1
6
1
5
5
109
21
14
1
71
19
3
9
Bradley Beach
Branchburg Township
Brick Township
Bridgeton
Bridgewater Township ...
Brielle
Brigantine
Brooklawn
Buena
Burlington
Burlington Township
Butler
Byram Township
Caldwell
Califon
Camden
Cape May
Cape May Point
Carlstadi
Cameys Point Township .
Carteret
Cedar Grove Township
Chatham
Chatham Township
Cherry Hill
Chesilhurst
Chester
Chesterfield Township ...
Chester Township
Cinnaminson Township
Clark
Clayton
Clementon
Cliffside Park
Cliflon
Clinton
Clinton Township
Closler
Collingswood
Colts Neck Township
Cranbury Township
Cranford Township
Cresskill
Deal
Delanco Township
Delaware Township
Delran Township
Demarest
Denville Township
Deptford Township
Dover
Dover Township
Dumont
Dunellen
Eastampton Township ...
East Brunswick Township
East Greenwich Township
East Hanover Township
East Newark
East Orange
East Rutherford
East Windsor Township
Eatontown
Edgewater
Edgewaler Park Township
Edison Township
Egg Harbor City
Egg Harbor Township ...
Elizabeth
Elk Township
Elmer
Elmwood Park
Emerson
Englewood
Englewood Cliffs
19
16
18
17
III
90
64
57
72
59
19
15
41
35
5
5
14
9
36
29
42
34
15
14
14
12
22
21
2
2
355
290
22
16
5
5
32
30
23
17
60
52
31
30
25
19
32
27
150
122
6
6
10
9
20
19
31
26
50
44
18
12
12
11
45
42
161
139
7
7
23
21
22
20
28
23
25
17
12
II
61
49
25
23
17
13
8
7
6
6
27
22
12
12
37
29
58
48
31
29
174
137
33
31
17
14
14
13
115
87
12
II
32
27
8
8
256
245
31
28
54
42
43
33
26
26
14
13
226
178
19
II
80
63
362
292
8
7
3
3
37
34
19
19
90
76
27
26
273
Table 72.— Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued
aty
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
NEW JERSEY— CondniKd
NEW JERSEY— Continued
Englishtown
Essex Fells
Evesham Township
Ewing Township
Fairfield
Fair Haven
Fair Lawn
Fairview
Fanwood
Far HiUs
Flemington
Florence Township
Florham Park
Fort Lee
Franklin
Franklin Lakes
Franklin Township (Gloucester County)
Franklin Township (Hunterdon County) .
Franklin Township (Somerset County) ...
Freehold
Freehold Township
Frenchtown
Galloway Township
Garfield
Garwood
Gibbsboro
Glassboro
Glen Ridge
Glen Rock
Gloucester City
Gloucester Township
Green Brook
Greenwich Township (Gloucester County)
Greenwich Township (Warren County)
Guttenberg
Hackensack
Hackettstown
Haddonfield
Haddon Heights
Haddon Township
Hainesport Township
Haledon
Hamburg
Hamilton Township (Mercer County) —
Hamilton Township (Atlantic County) ...
Hammonton
Hanover Township
Harding Township
Hardyston Township
Harrington Park
Harrison
Harrison Township
Harvey Cedars
Hasbrouck Heights
Haworth
Hawthorne
Hazlet Township
Helmetta
High Bridge
Highland Park
Highlands
Hightstown
HiUsborougb Township
HiUsdale
Hillside Township
Hi NeUa
Hoboken
Ho-Ho-Kus
Holland Township
Holmdel Township
Hopatcong
Hopewell Township
Howell Township
Independence Township
Interlaken
2
13
46
79
38
14
62
26
22
4
II
25
29
110
13
26
28
6
99
34
53
4
43
55
17
2
47
33
27
29
83
18
21
2
21
120
21
29
21
30
10
21
6
195
49
36
34
16
16
II
55
8
9
33
15
30
52
3
5
34
20
17
47
22
82
1
136
14
6
36
30
30
83
4
5
2
II
41
72
36
13
54
26
21
4
10
20
27
103
12
21
22
6
83
25
42
4
39
46
17
2
39
27
21
24
65
14
16
2
20
109
16
22
16
25
9
16
6
170
39
27
28
15
U
11
52
8
8
31
13
29
44
3
5
27
13
12
39
21
72
1
131
14
5
28
23
25
68
4
5
Irvington
Island Heights
Jackson Township
Jamesburg
Jefferson Township
Jersey City
Keansburg
Kearny
Kenilworth
Keyport
Kinnelon
Lacey Township
Lakehurst
Lakewood
Lambenville
Laurel Springs
Lavallette
Lawnside
Lawrence Township
Lebanon Township
Leonia
Lincoln Park
Linden
Lindenwold
Linwood
Little Egg Harbor Township
Little Falls Township
Little Ferry
Little Silver
Livingston
Lodi
Logan Township
Long Beach Township
Long Branch
Longport
Lopatcong Township
Lower Alloways Creek Township
Lower Township
Lumberton Township
Lyndhurst Township
Madison
Magnolia
Mahwah Township
Manalapan Township
Manasquan
Manchester Township
Mansfield Township (Warren County)
Mansfield Township (Burlington County)
Mantoioking
Mantua Township
ManviUe
Maple Shade Township
Maplewood Township
Margate City
Marlboro
Matawan
Maywood
Medford Lakes
Medford Township
Mendham
Mendham Township
Merchantville
Metuchen
Middlesex
Middle Township
Middletown Township
Midland Park
Milford
Millbum Township
Milltown
Millville
Mine Hill Township
Monmouth Beach
Monroe Township (Gloucester County) .
Monroe Township (Middlesex County)
185
6
66
10
39
1,005
29
141
26
24
16
44
10
114
15
6
14
7
67
9
24
24
139
32
22
34
26
26
19
60
50
11
43
85
14
14
18
45
20
53
39
8
55
55
21
78
II
3
8
26
24
37
66
39
62
26
25
9
41
12
17
17
34
31
52
127
16
1
63
16
69
9
II
52
39
160
6
53
10
33
916
23
134
25
17
15
36
8
94
11
5
11
6
61
8
21
23
124
29
18
25
20
25
14
52
48
II
37
77
II
9
13
39
18
47
35
8
49
47
16
67
11
3
7
17
22
30
54
30
50
21
24
8
33
II
15
13
30
30
39
104
12
I
58
14
55
8
10
42
32
274
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued
City
Total
police
employees
Total
ofTicers
Total
civilians
City
Total
police
employees
Total
officers
NEW JERSEY— CondniKd
Montclair
Montgomery Township
Montvale
Monlville Township
Moonachie
Moorestown Township
Morris Plains
Morristown
Morris Township
Mountain Lakes
Mountainside
Mount Arlington ,
Mount Ephraim
Mount Holly
Mount Laurel Township
Mount Olive Township
Mullica Township
National Park
Neptune
Neptune Township
Netcong
Newark
New Brunswick
Newfield
New Hanover Township
New Milford
New Providence
Newton
North Arlington
North Bergen Township
North Brunswick Township
North Caldwell
Northfield
North Haledon
North Hanover Township
North Plainfield
Northvale
North Wildwood
Norwood
Nutley
Oakland
Oaklyn
Ocean City
Ocean Gate
Oceanport
Ocean Township (Monmouth County)
Ocean Township (Ocean County) ....
Ogdensburg
Old Bridge
Old Tappan
OradeU
Orange
Oxford Township
Palisades Park
Palmyra
Paramus
Park Ridge
Parsippany-Troy Hills Township
Passaic
Passaic Township
Paterw>n
Paulsboro
Peapack and Gladstone
Pemberton
Pemberton Township
Pennington
Pennsauken
Penns Grove
Pennsville Township
Pequannock Township
Perth Amboy
Phillipsburg
Pine Beach
Pine HiU
Pine Valley
NEW JERSEY— Continiied
114
24
22
37
19
39
24
62
54
15
26
10
12
26
59
51
14
7
19
73
8
1,225
150
6
2
39
29
23
46
129
87
20
25
20
4
44
13
38
14
70
35
9
79
6
19
71
16
6
121
13
23
105
6
33
16
119
22
131
142
25
386
19
9
3
55
3
131
21
32
30
127
38
7
16
8
98
18
21
33
16
30
18
56
45
12
21
9
11
22
46
42
13
6
14
65
7
1,070
122
6
2
35
24
16
43
111
73
16
19
16
3
38
12
32
14
62
30
8
64
6
14
60
12
6
90
12
22
93
5
30
15
97
19
108
133
19
347
13
8
3
44
3
96
15
29
25
113
32
6
14
7
16
6
1
4
3
9
6
6
9
3
5
1
I
4
13
9
I
I
5
8
1
155
28
Piscataway Township
Pitman
Plainfield
Plainsboro Township
Pleasantville
Plumsted Township
Pohatcong Township
Point Pleasant
Point Pleasant Beach
Pompton Lakes
Princeton
Princeton Township
Prospect Park
Rahway
Ramsey
Randolph Township
Raritan
Raritan Township
Readington Township
Red Bank
Ridgefield
Ridgefield Park
Ridgewood
Ringwood
Riverdale
River Edge
Riverside
Riverton
River Vale
Rochelle Park Township ..
Rockaway
Rockaway Township
Roseland
Roselle
Roselle Park
Roxbury Township
Rumson
Runnemede
Rutherford
Saddle Brook Township
Saddle River
Salem
Sayreville
Scotch Plains Township
Sea Bright
Sea Gin
Sea Isle City
Seaside Heights
Seaside Park
Secaucus
Ship Bottom
Shrewsbury
Somerdale
Somers Point
SomerviUe
South Amboy
South Belmar
South Bound Brook
South Brunswick Township
South Hackensack
South Harrison Township
South Orange
South Plainfield
South River
South Toms River
Sparta Township
Spotswood
Springfield
Springfield Township
Spring Lake
Spring Lake Heights
Stafford Township
Stanhope
Stillwater Township
Stone Harbor
96
83
17
12
177
136
32
24
48
41
4
4
7
6
34
26
27
20
27
21
40
32
33
29
II
II
78
74
36
31
45
37
21
19
25
23
18
16
48
43
32
30
31
28
56
48
29
23
15
10
27
23
14
13
6
6
20
20
22
22
13
12
66
50
23
23
51
48
31
31
39
33
19
17
18
16
46
42
31
30
16
14
24
18
101
84
48
43
14
10
12
9
33
23
33
23
18
15
76
67
12
II
19
15
11
10
31
25
39
33
32
30
9
9
12
12
93
68
17
17
4
3
60
55
62
55
35
29
7
7
36
30
23
18
47
43
2
2
16
13
15
13
52
39
8
7
2
2
28
21
275
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued
City
NEW JERSEY— Continued
Stratford
Summit
Surf City
Sussex
Swedesboro
Teaneck Township
Tenafly
Teterboro
Tewksbury Township
Tinton Falls
Totowa
Trenton
Tuckerton
Union Beach
Union City
Union Township
Upper Saddle River
Ventnor City
Vernon Township
Verona
Vineland
Voorhees Township
Waldwick
Wallington
Wall Township
Wanaque
Warren Township
Washington
Washington Township (Bergen County) ...
Washington Township (Gloucester County)
Washington Township (Mercer County) ..
Washington Township (Morris County) ...
Washington Township (Warren County) ..
Watchung
Waterford Township
Wayne Township
Weehawken Township
Wenonah
Westampton Township
West Amwell Township
West Caldwell
West Cape May
West Deptford Township
Westfield
West Long Branch
West Milford Township
West New York
West Orange
West Paterson
Westville
West Wildwood
West Windsor Township
Westwood
Wharton
Wildwood
Wildwood Crest
Willingboro Township
Winfield Township
Winslow Township
Woodbridge Township
Woodbury
Woodbury Heights
Woodcliff Lake
Woodlynne
Wood Ridge
Woodstown
Woolwich
WyckofT
Total
police
employees
NEW MEXICO
Alamogordo
Albuquerque
Artesia
Aztec
11
56
14
4
4
103
35
40
25
431
10
18
183
158
21
45
32
34
123
50
23
17
69
23
29
18
21
75
21
35
11
29
19
122
47
6
22
3
31
5
34
69
22
50
120
104
21
12
3
44
26
II
52
28
81
8
76
217
31
7
19
6
21
8
6
25
77
1,183
37
24
Total
officers
Total
civilians
10
44
10
4
4
91
31
8
8
32
23
367
g
14
161
118
17
36
26
31
109
39
19
17
55
18
22
12
21
61
16
27
10
22
17
100
45
5
19
3
29
5
28
59
17
43
108
95
20
9
3
36
24
10
45
23
66
8
61
176
25
6
18
5
19
7
5
22
60
793
21
14
City
NEW MEXICO— Continued
17
390
16
10
Bayard
Belen
Bloomfield
Carlsbad
Clayton
Clovis
Corrales
Cuba
Deming
Eunice
Farmington
Gallup
Grants
Hobbs
Hurley
Jal
Jemez Springs
Las Cruces
Los Alamos
Los Lunas
Lovington
Mesilla
Milan
Mountainair
Portales
Questa
Raton
Rio Rancho
Roswell
Ruidoso
Ruidoso Downs
San Ildefonso Pueblo
Silver City
Taos
Taos Pueblo Tribal ...
Tatum
Truth or Consequences
Tucumcari
Tularosa
Wagon Mound
NEW YORK
Addison Town and Village
Akron Village
Albany
Albion Village
Alexandria Bay Village
Alfred Village
Altamont Village
Amherst Town
Amity Town and Belmont Village
Amityville Village
Amsterdam
Ardsley
Asharoken Village
Athens Village
Attica Village
Auburn
Avoca Village
Avon Village
Baldwinsville Village
Ballston Spa Village
Batavia
Bath Village
Beacon
Bedford Town
Bethlehem Town
Binghamton
Blooming Grove Town
Bolivar Village
Boonville Village
Brant Town
BriarclifT Manor Village
Brighton Town
Total
police
employees
7
22
20
60
16
76
15
6
27
8
114
106
32
104
6
10
2
129
47
23
24
6
11
4
27
3
22
87
98
27
10
3
31
25
10
7
1
26
13
1
384
12
3
6
1
177
3
26
42
16
3
5
5
69
4
16
15
36
14
36
42
45
149
12
■ 1
3
1
18
49
Total
officers
6
17
14
47
6
59
10
2
22
4
75
50
24
69
5
6
2
106
33
17
18
6
7
3
20
2
16
60
79
16
10
2
23
18
6
3
11
20
12
1
3
1
319
11
3
6
1
147
3
25
39
16
3
4
4
61
1
4
13
4
32
10
34
37
34
136
II
1
3
I
18
40
276
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued
City
NEW VORK— Condnued
Bronxville Village
Buchanan Village
Buffalo
Caledonia Village
Cambridge Village
Camden Village
Camillus Town and Village ..
Canajobarie Village
Canandaigua
Canastota Village
Caoisteo Village
Canton Village
Cannel Town
Carroll Town
Carthage Village
Catskill Village
Cayuga Heights Village
Cazenovia Village
Central Square Village
Centre Island Village
Chatham Village
Cheektowaga Town
Chittenango Village
Clarkstown Town
Clayton Village
Clay Town
aifton Springs Village
Clyde Village
Cobleskill Village
Coeymans Town
Cohocton Town
Cohoes
Colchester Town
Cold Spring Village
Colonic Town
Cooperstown Village
Corinth Village
Coming
Comwall-on-the-Hudson Village
Cornwall Town
Cortland
Cortlandt Town
Cove Neck Village
Croton-on-Hudson Village
Cuba Town
Dansville Village
Delhi Village
Depew Village
Deposit Village
Dewitl Town
Dobbs Ferry Village
Dryden Village
Dunkirk
East Aurora- Aurora Town
Eastchester Town
East Fishkill Town
East Greenbush Town
East Hampton Town
East Hampton Village
East Rochester Village
East Syracuse Village
Eden Town
EUenville Village
EUicott Town
EUicottville
Elmira
Elmira Town
Elmira Heights Village
Elmsford Village
Endicott Village
Erwin Town
Evans Town
Fairpon Village
Fallsburg Town
Floral Park Village
Total
police
employees
26
5
1,171
3
3
3
19
4
32
6
2
13
42
I
7
15
7
5
6
4
3
158
7
157
3
25
I
2
g
6
1
38
2
3
151
6
4
29
4
18
42
16
3
19
5
II
4
39
3
36
22
3
31
19
62
26
22
63
19
10
12
5
13
12
1
91
4
10
16
42
1
26
11
22
45
Total
officers
23
5
1,029
3
3
3
18
4
26
5
2
II
38
1
6
15
6
5
6
4
2
128
6
138
3
20
1
2
7
3
I
35
2
3
111
6
4
29
4
13
39
9
3
18
3
8
4
31
3
33
22
2
31
15
52
18
16
48
18
9
8
4
II
II
1
85
4
10
16
38
I
20
10
18
37
Total
civilians
142
40
City
NEW YORK— ContiDued
Florida Village
Fort Edward Village
Fort Plain Village
Franklinville Village
Fredonia Village
Freeport Village
Fulton
Garden City Village
Gates Town
Geddes Town
Geneseo Village
Geneva
Glen Cove
Glens Falls
Glenville Town
Gloversville
Goshen Village
Gouvemeur Village
Gowanda Village
Granville Village
Great Neck Estates Village
Greece Town
Greenburgh Town
Greene Village
Green Island Village
Greenport Town
Greenport Village
Greenwich Village
Greenwood Lake Village
Groton Village
Guilderland Town
Hamburg Town
Hamburg Village
Hamilton Village
Hammondsport Village
Harriman Village
Harrison Town
Hastings-on-Hudson Village
Haverstraw Village
Haverslraw Town
Hempstead Village
Highland Falls Village
Highlands Town
Homer Village
Hoosick Falls Village
Homell
Horseheads Village
Hudson
Hudson Falls Village
Huntington Bay Village
Hyde Park Town
Ilion Village
Irondequoit TowTi
Irvington Village
Ithaca
Jamestown
Johnson City Village
Johnstown
Kenmore Village
Kensington Village
Kent Town
Kings Point Village
Kingston
Kirkland Town
Lackawanna
Lake Placid Village
Lake Success Village
Lakewood-Busti
Lancaster Town
Lancaster Village
Larchmont Village
Laurel Hollow Village
Lc Roy Village
Lewiston Village
Liberty Village
Total
police
employees
ToUl
officers
12
10
5
5
3
3
2
2
17
16
102
90
38
35
62
49
39
32
15
14
7
7
35
33
55
51
35
29
31
20
37
35
13
12
13
9
5
5
6
6
15
14
105
93
110
94
2
2
10
9
2
2
9
9
2
2
14
11
4
3
37
24
66
65
22
16
6
5
2
1
4
4
70
65
21
21
19
19
29
28
130
100
II
8
5
4
4
4
21
20
14
10
23
22
15
11
5
5
II
9
18
16
67
54
22
22
80
71
90
74
42
37
24
24
29
28
6
6
23
19
24
24
78
72
3
3
48
43
16
14
26
23
9
8
28
24
22
16
31
28
8
8
8
8
2
2
17
14
Total
civilians
277
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued
City
Total
police
employees
Total
ofTicers
Total
civilians
City
Total
police
employees
Total
officers
NEW YORK— Continued
NEW YORK— Continued
Little Falls
Liverpool Village
Lloyd Town
Lloyd Harbor Village
Lockport
Long Beach
LowviUe Village
Lynbrook Village
Lyons Village
Macedon Town and Village
Malone Village
Malveme Village
Mamaroneck Town
Mamaroneck Village
Manlius Town
Marcellus Village
Marlborough Town
Massena Village
Mechanicville
Medina Village
Menands Village
Middleport Village
Middletown
MiU Neck ViUage
Mohawk Village
Monroe ViUage
Montgomery Town
Monticello Village
Moravia Village
Moriab Town
Mount Kisco Village
Mount Pleasant Town
Mount Vernon
Newark Village
Newburgh
Newburgh Town
New Castle Town
New Hartford Town and Village
New Paltz Town and Village ...
New Rochelle
New Windsor Town
New York
New York Mills ViUage
Niagara Falls
Niagara Town
Niskayuna Town
Nissequogue Village
North Castle Town
North Greenbush Town
Northport ViUage
North Syracuse Village
North Tarrytown Village
North Tonawanda
Norwich
Norwood Village
Ogden
Ogdensburg
Old Brookville Village
Old Westbury Village
Olean
Oneida
Oneonta
Orangetown Town
Orchard Park Town
Oriskany Village
Ossining Town
Ossining Village
Oswego
Owego Village
Oxford Village
Oyster Bay Cove Village
Painted Post ViUage
Palmyra Village
Pawling Village
PeekskiU
15
12
8
13
56
91
6
54
11
2
18
23
40
52
38
1
10
23
13
14
16
2
65
3
5
18
4
27
1
1
33
54
233
20
79
55
39
14
26
231
46
36,407
2
174
4
31
4
29
7
20
13
27
57
19
I
II
30
45
27
38
24
31
91
31
2
13
56
55
12
1
7
4
9
4
64
12
1
54
2
78
13
6
47
7
9
2
2
18
23
39
1
46
6
34
1
4
6
4
23
12
1
11
3
10
6
2
58
7
3
5
14
4
3
1
24
1
3
1
30
3
43
II
182
51
19
1
68
11
42
13
37
2
13
I
19
7
191
40
34
12
26,844
9,563
■>
154
20
4
25
6
4
26
3
6
1
16
4
10
3
27
53
4
17
1
2
10
1
25
5
36
9
23
4
36
2
21
3
28
3
86
5
30
1
2
13
48
8
51
4
8
1
4
7
4
5
4
4
13
Pelham Manor ViUage ...
Pelham Village
Penn Yan ViUage
Perry Village
Phoenix ViUage
Piermont Village
Pittsburgh
Pleasantville Village
Port Byron Village
Port Chester Village
Port Dickinson Village ...
Port Henry Village
Port Jervis
Portville Village
Pott Washington Village .
Potsdam Village
Poughkeepsie
Poughkeepsie Town
Pound Ridge Tovra
Pulaski Village
Putnam Valley Town
Quogue Village
Ramapo Town
Red Hook Village
Rensselaer
Riverhead Town
Rochester
Rockville Centre ViUage
Rome
Rosendale Town
Rotterdam Town
Rouses Point ViUage
Rye
Rye Brook Village
Sag Harbor ViUage
St. Johnsville ViUage ....
Salamanca
Sands Point Village
Saranac Lake ViUage
Saratoga Springs
Saugerties Village
Scarsdale Village
Schodack Town
Schoharie Village
Scotia ViUage
Seneca Falls ViUage
Shandaken Town
Shelter Island Town
Sherburne Village
Sherrill
Sidney ViUage
Silver Creek Village
Skaneateles Village
Sodus Village
Solvay ViUage
Southampton Town
Southampton Village —
South Glens Falls ViUage
South Nyack ViUage ....
Soulhold Town
Southport Town
Spring Valley ViUage ...
Stony Point Town
Suffem ViUage
Syracuse
Tarrytown Village
Ticonderoga Town
Tonawanda Village
Tonawanda Town
Troy
Tnimansburg Village —
Tupper Lake Village —
Tuxedo Town
Tuxedo Park Village
Ulster Town
29
28
27
24
14
12
5
5
6
6
52
50
21
21
6
5
63
59
4
3
24
24
2
1
64
56
18
15
94
83
86
76
1
1
2
2
18
12
12
12
114
103
2
2
32
26
77
65
765
646
62
54
75
71
3
3
54
41
43
37
21
21
15
14
3
3
12
12
20
20
15
14
65
60
11
10
48
44
8
7
15
14
17
12
9
8
4
4
8
8
6
5
6
6
17
13
120
90
38
26
6
6
6
6
55
44
5
1
59
54
29
28
32
26
574
442
38
33
8
8
38
32
159
106
147
128
13
12
13
10
10
6
24
20
278
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
Total
civilians
NEW YORK— Continued
NORTH CAROUNA— Continued
Utica
Vernon Village
Vestal Town
Walden Village
Walllcill Town
Walton Village
Wappingers Falls Village ...
Warwick Town
Warwick Village
Washingtonville Village
Waterford Town and Village
Waterloo Village
Watertown
Watervliet
Watkins Glen Village
Waverly Village
Webb Town
Webster Town and Village
Wellsville Village
Westhampton Beach Village
West Seneca Town
Wheatland Town
Whitehall Village
White Plains
Whitesboro Village
Whiteslown Town
Windsor
Wolcott Village
Woodbury Town
Woodridge Village
Woodstock Town
Yonkers
Yorktown Town
Yorkville Village
NORTH CAKOUNA
Aberdeen
Ahoskie
Albemarle
Alexander Mills
Andrews
Angler
Apex
Archdale
Arlington
Asheboro
AsheviUe
Atlantic Beach .
Aurora
Ayden
Bailey
Bakersville
Banner Elk
Battleboro
Beaufort
Beech Mountain
Belhaven
Belmont
Benson
Bessemer City
Bethel
BeulaviUe
Biltmore Forest
Biscoe
Black Creek
Black Mountain
Bladenboro
Blowing Rock
Boiling Springs
Boiling Spring Lake
Boone
Boonville
Brevard
Broadway
172
1
40
12
13
6
7
14
14
g
9
8
82
25
8
15
6
42
13
18
71
4
3
244
6
5
1
1
14
1
10
627
59
2
21
19
42
1
5
11
18
16
1
47
179
32
I
16
4
1
5
3
16
13
11
28
17
14
5
3
15
6
2
17
4
9
4
4
34
2
20
3
157
1
32
9
9
5
4
12
12
7
6
7
74
25
5
9
5
30
10
16
66
4
3
190
6
5
1
1
11
1
10
527
52
2
16
14
37
I
5
7
13
12
1
43
143
27
1
12
4
I
5
3
15
8
10
21
13
10
4
3
10
6
2
13
4
6
4
4
31
2
18
3
54
100
7
Brookford
Bryson City
Bunn
Burgaw
Burlington
Bumsvilte
Butner
Calypso
Candor
Canton
Cape Carteret
Carolina Beach
Carrboro
Carthage
Cary
Catawba
Chadboum
Chapel Hill ...
Charlotic
Cherokee
Cherryville
China Grove
Chocowinity
Claremont
Clayton
Clinton
Clyde
Coats
Concord
Conover
Conway
Cooleemee
Cornelius
Cramerton
Creedmoor
Dallas
Davidson
Denton
Dobson
Drexel
Dunn
Durham
East Bend ....
East Spencer . .
Eden
Edenton
Elizabeth City
Elizabethtown
Elkin
Ellerbe
Elm City
Elon College
Emerald Isle
Enfield
Erwin
Fair Bluff
Fairmont
Farmville
Fayetteville
Forest City
Four Oaks
Foxfire Village
Franklin
Franklinton . . .
Fremont
Fuquay-Varina
Gamer
Gaston
Gastonia
Gibson
Gibsonville
Goldsboro
Graham
Granite Falls .
Greensboro
I
5
3
6
120
5
44
1
4
14
5
25
25
4
62
2
10
93
1,015
21
15
4
1
4
21
35
3
5
70
16
1
2
11
7
11
11
10
5
4
5
38
364
1
5
46
18
39
13
19
3
4
10
17
13
13
4
17
20
289
22
3
2
II
8
3
16
30
1
198
1
13
95
22
12
5241
1
5
3
6
94
5
38
1
4
11
5
19
24
4
47
I
6
75
801
16
13
4
1
4
15
27
3
5
58
15
I
2
II
7
7
9
6
5
4
5
31
281
I
5
43
14
32
12
16
3
4
9
13
9
9
4
13
16
216
22
3
2
II
5
3
II
27
1
159
I
10
74
20
II
407
279
Table 72. — Nninber of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued
City
Total
police
employees
Total
ofTicers
Total
civilians
City
Total
police
employees
Total
officers
NORTH CAROLINA— ContiniKd
NORTH CAROUNA— Continued
Greenville
Grifton
Grover
Hamlet
Havelock
Haw River
Hazelwood
Henderson
Hendersonville
Hertford
Hickory
Highlands
High Point
High Shoals ....
Hillsborough
Holden Beach ..
HoUy Ridge ...,
Hope Mills
Hudson
HuntersviUe
Indian Beach ...
Jackson
Jacksonville
Jefferson
Jonesville
Kannapolis
Kenansville
Kenly
Kemersville
KiU Devil HiUs
King
Kings Mountain
Kinston
Kitty Hawk
Knightdale
Kure Beach
La Grange
Lake Lure
Lake Waccamaw
Landis
Laurel Park
Laurinburg
Lawndale
Lenoir
Lewiston
Lexington
Liberty
Lilesville
Lillington
Lincolnton
Littleton
Locust
Long Beach
Longview
Louisburg
Lowell
Lucama
Lumberton
Madison
Maiden
Manteo
Marion
Marshall
Mars HiU
Marshville
Matthews
Mayodan
McAdenville
Mebane
Middlesex
Mocksville
Monroe
Mooresville
Morehead City .
Morganton
135
5
I
21
30
6
5
51
44
5
101
9
180
1
15
5
3
21
II
7
4
I
107
3
6
81
3
6
42
28
10
31
88
13
6
5
9
6
1
4
3
30
I
58
2
76
6
1
8
27
3
3
17
13
II
7
3
59
12
10
6
22
1
5
5
25
14
4
13
3
12
75
26
23
91
108
5
I
17
23
6
5
46
35
5
78
9
161
I
14
5
3
14
10
7
4
I
86
3
6
74
3
6
34
21
9
24
71
II
6
5
9
6
1
4
3
25
I
48
I
60
6
I
8
23
3
3
13
12
10
6
3
50
10
10
5
20
1
5
5
17
II
4
10
3
II
65
21
18
70
27
21
Morrisville
Morven
Mount Airy
Mount Gilead . . .
Mount Holly
Mount Olive
Murfreesboro
Murphy
Nags Head
Nashville
New Bern
Newland
Newport
Newton
Newton Grove
North Wilkesboro
Norwood
Oakboro
Oak City
Ocean Isle Beach
Old Fort
Oxford
Pembroke
Pilot Mountain ..
Pinebluff
Pinehurst
Pine Knoll Shores
Pine Level
Pinetops
Pineville
Pink HiU
Pittsboro
Plymouth
Polkton
Princeton
Raeford
Raleigh
Ramseur
Randleman
Ranlo
Red Springs
Reidsville
Rhodhiss
Richlands
Rich Square
River Bend
Roanoke Rapids ..
Robbins
Robbinsville
Robersonville
Rockingham
Rocky Mount
Rolesville
Rose HiU
Rowland
Roxboro
Rutherfordton
St. Pauls
Salisbury
Saluda
Sanford
Scotland Neck ....
Seaboard
Seagrove
Selma
Shallotte
Sharpsburg
Shelby
Siler City
Smithfield
Southern Pines ...
Southern Shores ..
Southport
Sparta
Spencer
8
7
37
32
5
5
23
18
16
11
9
9
10
9
18
15
8
7
62
53
4
4
4
4
39
28
2
2
20
17
5
5
2
2
6
6
3
3
34
28
15
10
9
8
16
12
8
8
2
2
6
4
8
8
1
1
6
6
14
10
3
3
14
12
470
415
6
6
6
6
6
6
13
10
42
34
3
3
2
2
3
3
38
29
8
6
4
4
8
8
29
23
151
115
4
4
4
4
8
4
30
25
II
10
10
8
79
60
3
1
61
48
15
8
2
2
20
15
7
7
4
4
61
49
18
13
29
22
28
23
7
7
12
8
5
5
5
5
280
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
ofTicers
Total
civilians
NORTH CAROUNA— ContiDiKd
Spindale
Spring Hope
Spring Lake
Spruce Pine
Stanley
Stantonsburg
Star
StoneviUe
Sugar Mountain
Sunset Beach
Surf City
Swansboro
Sylva
Tabor City
Tarboro
Taylorsville
ThomasviUe
Topsail Beach ...
Trent Woods
Troutman
Troy
Tryon
Valdese
Vanceboro
Vass
Wadesboro
Wagram
Wake Forest
Wallace
Walnut Cove
Warrenton
Warsaw
Washington
Waxhaw
Waynesville
WeaverviUe
Weldon
WendeU
West Jefferson
Whispering Pines .
Whitakers
White Lake
Whiteville
Wilkesboro
WiUiamston
Wilmington
Wilson
Windsor
Wingate
Winston-Salem
Winterville
Woodfin
Woodland
Wrigbtsville Beach
Yadkinville
YoungsviUe
Zebulon
NORTH DAKOTA
Bismarck
Bowman
Carrington
Devils Lake
Dickinson . . .
Fargo
Grafton
Grand Forks
Harvey
Hazen
Hillsboro ...
Jamestown .
Langdon ...
Lisbon
Mandan
II
5
21
15
12
3
5
4
6
5
7
4
8
II
34
8
53
5
3
2
8
9
10
1
4
22
I
19
15
4
3
13
29
4
24
7
9
II
6
6
3
4
26
15
15
168
89
6
2
517
5
7
2
25
5
4
14
91
3
4
15
35
110
13
87
3
4
2
32
3
2
30
II
5
14
II
8
3
5
4
6
5
6
4
8
7
25
8
46
5
3
2
8
7
9
I
4
17
I
14
14
4
3
10
26
4
23
6
7
7
6
6
3
4
20
14
14
134
75
6
2
407
5
7
I
19
5
4
13
110
24
NORTH DAKOTA-Continued
Mayville
Minot
Rugby
Valley City .
Wahpeton . . .
Watford City
West Fargo .
Williston ....
OHIO
Ada
Akron
Alliance
Amberley
Amherst
Archbold
Arlington Heights ...
Ashland
Ashtabula
Athens
Aurora
Austintown
Avon Lake
Bainbridge Township
Barberton
Bath Township
Bay Village
Bazetta Township ...
Beachwood
Beavercreek
Beaver Township
Bedford
Bedford Heights
Bellaire
Bellbrook
Bellevue
BellviUe
Belpre
Berea
Bethel
Beverly
Bexley
Blanchester
Blendon Township
Blue Ash
Blufflon
Boardman Township
Bowling Green
Bradford
Brady Lake
Brecksville
Brewster
Briarwood Beach
Bridgeport
Broadview Heights
Brookfield Tovmship
Brooklyn
Brooklyn Heights
Brook Park
Brookville
Brunswick
Bryan
Bucyrus
Butler
Cadiz
Cambridge
Canal Fulton
Canfield
Canton
Carey
Carlisle
Carrollton
Celina
Centerville
10
7
485
426
45
35
17
15
17
12
7
7
6
6
37
28
36
30
34
23
21
16
42
35
23
22
17
12
49
43
20
16
23
22
7
6
54
35
45
35
10
6
34
27
36
30
13
13
10
7
18
15
2
2
13
9
38
29
4
4
5
3
30
24
9
5
II
10
41
33
II
5
59
49
41
31
3
3
2
2
25
20
4
4
3
3
8
5
22
17
11
9
33
27
13
13
45
36
14
9
35
27
20
15
26
20
5
5
31
25
7
4
15
10
166
161
10
7
7
6
5
5
20
15
34
27
281
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued
City
Total
police
employees
Total
officers
Total
civilians
aty
Total
police
employees
Total
officers
OHIO— Continued
Chagrin Falls
Chardon
Cheviot
Chillicothe
Cincinnati
Circleville
Cleveland
Qeves
Clinton Township .
Oyde
Coldwater
College Comer ....
Columbiana
Columbus
Conneaut
Copley
Covington
Crestline
Crooksville
Cuyahoga Falls
Dallon
Dayton
Deer Park
Deflance
Delaware
Delhi Township ...
DelU
Dennison
Deshler
Dover
Dublin
East Cleveland
Eastlake
East Palestine
Eaton
Elmwood Place ....
Elyria
Englewood
Euclid
Evendale
Fairbom
Fairfax
Fairfield
Fairfield Township
Fairlawn
Fairport Harbor ...
Fairview Park
Fayette
Findlay
Forest
Forest Park
Fort Shawnee
Franklin
Fremont
Gahanna
Gallon
Gallipolis
Garfield Heights
Gates Mills
Geneva
Geneva-on-the-Lake
Genoa
Gennantown
German Township
Gibsonburg
Girard
Glendale
Golf Manor
Goshen Township
Grandview Heights
Granville
Greenfield
Greenhills
Greenville
Grove City
19
13
II
52
1,184
26
2,082
I
9
15
5
I
13
1.735
23
19
6
14
5
92
5
594
10
25
38
26
5
4
2
22
43
77
38
9
16
6
89
22
156
17
51
9
50
9
23
5
31
3
72
2
39
4
22
37
39
24
20
65
15
17
3
4
12
5
4
24
7
10
7
20
to
II
7
28
42
12
10
10
47
959
18
1,724
I
8
II
5
1
9
1,394
18
14
5
10
4
77
5
489
9
20
29
21
5
4
2
19
34
63
30
6
II
6
77
16
95
16
39
9
41
9
16
5
29
3
57
2
32
4
17
32
34
19
14
52
12
10
3
4
7
5
4
20
7
6
6
16
8
9
7
22
32
7
3
1
5
225
8
358
4
341
5
5
I
4
1
15
105
1
5
9
5
15
OHIO— Continued
Hamilton
Harrison
Hartville
Hicksville
HiUiard
Hillsboro
Hinckley Township
Howland
Hubbard
Hubbard Township
Huber Heights
Hudson
Hunting Valley
Huron
Independence
Indian Hill
Ironton
Jackson
Jackson Township
Jefferson
Johnstown
Kent
Kettering
Kirtland Hills
Lagrange
Lakemore
Lake Township
Lakewood
Lancaster
Lawrence Township
Lebanon
Leipsic
Lemon Township
Lexington
Liberty Township
Lima
Lockland
Logan
London
Lorain
Lordstown
Loudonville
Louisville
Loveland
Lyndhurst
Madeira
Madison Township (Lake County)
Madison Township (Montgomery County)
Manchester
Mansfield
Maple Heights
Mariemont
Marietta
Marion
Marlboro Township
Marysville
Mason
Massillon
Maumee
Mayfield
Mayfield Heights
McConnelsville
Mechanicsburg
Mentor
Mentor-on-the-Lake
Miamisburg
Miami Township
Middleburg Heights
Middlefield Village
Middleport
Middletown
Milford
Millersburg
Minerva
Minerva Park
121
17
4
7
43
18
8
17
16
14
38
15
12
14
34
24
20
17
31
6
9
48
103
12
3
5
10
105
77
4
25
2
6
10
24
98
14
18
16
99
12
10
14
14
37
13
16
24
3
134
56
10
39
57
3
17
17
54
46
19
41
4
5
88
13
37
23
35
8
8
III
14
5
15
51
104
15
4
6
31
14
8
13
12
6
35
10
II
10
27
19
14
13
26
5
5
36
78
II
2
4
10
82
53
4
19
2
2
6
19
78
14
12
12
85
8
6
II
12
29
12
14
18
2
82
42
9
33
42
3
13
16
50
35
14
32
4
4
62
9
30
22
29
7
6
79
II
5
10
4
282
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
OHIO— Continued
Mingo Junction
Mogadore
Monroe
Montgomery
Montpelier
Moraine
Mount Gilead
Mount Sterling
Mount Vernon
Munroe Falls
Napoleon
Navarre
NelsonviUe
Newark
New Boston
Newburgb Heights
Ncwcomerstown
New Lebanon
New Lexington
New Paris
New Philadelphia
Newton Falls
Newtown
Niles
North Baltimore
North Canton
North Kingsville
North Olmsted
North Randall
North Ridgeville
North Royalton
Northwood
Norton
Norwalk
Norwood
Oak Harbor
Oakwood
Oakwood Village
Oberlin
Olmsted Falls
Olmsted Township
Ontario
Oregon
Orrville
Ottawa
Otuwa Hills
Oxford
Painesville
Parma
Pataskala
Peninsula
Pepper Pike
Perkins Township
Perrysburg
Perry Township (Franklin County)
Perry Township (Stark County) ..
Pierce Township
Piqua
Poland
Poland Township
Port Clinton
Portsmouth
Randolph Township
Ravenna
Reading
Reynoldsburg
Richfield
Richmond Heights
Rittman
Riverside
Roseville
Russell Township
St. Bernard
St. Marys
Salem
OHIO— Continued
U
7
5
18
7
33
5
6
32
8
19
4
7
66
16
7
11
7
10
2
22
8
4
35
5
26
4
56
30
33
35
19
18
27
48
6
35
18
17
14
12
16
52
18
7
15
27
35
117
4
6
18
14
25
10
22
12
31
5
6
17
44
II
27
22
46
14
25
12
4
3
7
17
17
19
9
7
I
17
7
26
5
4
23
7
14
4
5
60
12
4
6
7
6
2
18
6
4
30
5
20
4
46
23
27
28
14
13
21
48
5
29
14
13
9
9
12
42
13
7
II
19
26
98
4
5
14
10
19
9
17
11
28
5
6
12
41
II
19
19
35
10
19
8
4
3
7
17
13
18
Salineville
Sandusky
Sebring
Seven Hills
Seville
Shadyside
Shaker Heights
Sharon Township
Sharonville
ShefTield Lake
Shelby
Sidney
Silverton
Smith Township
Solon
South Euclid
South Russell
Spencerville
Springboro
Springdale
Springfield
Springfield Township
Steubenville
Stow
Streetsboro
Strongsville
Struthers
Sunbury
Swanton
Sylvania
Sylvania Township
Tallmadge
Terrace Park
Tiffin
Tipp City
Toledo
Toronto
Trenton
Trotwood
Troy
Twinsburg
Uhrichsville
Union City
Uniontown
Union Township (Butler County)
Union Township (Clermont County)
University Heights
Upper Arlington
Upper Sandusky
Urbana
Valley View
Vandalia
Van Wert
Vermilion
Village of Highland Hills
Wadsworth
Waite HiU
Walbridge
Walton Hills
Wapakoneta
Warrensville Heights
Washington Court House
Waterville
Wauseon
Waverly
Waynesville
Wellington
Wellsville
West CarroUton
Westerville
West Jefferson
Westlake
Whitehall
Wickliffe
Willard
2
2
54
46
8
5
16
15
5
4
6
3
101
68
6
5
41
32
12
9
18
15
35
30
11
9
2
2
48
39
40
33
7
7
4
4
16
11
37
32
121
94
41
30
52
43
41
27
18
12
54
45
15
15
5
5
4
4
34
28
29
23
32
22
6
5
40
28
12
11
723
671
10
10
10
6
26
24
36
34
27
19
9
8
3
3
6
5
41
30
38
28
40
31
62
52
8
7
22
18
12
12
37
28
27
21
23
18
4
4
26
21
5
5
7
3
14
10
17
13
40
35
22
16
10
9
11
9
13
9
2
2
5
3
6
6
30
23
64
52
11
8
41
35
47
38
34
30
16
13
283
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
OHIO— Continued
Willoughby
WiUoughby Hills
Willowick
Wilmington
Windham
Woodlawn
Woodsfield
Woodville
Wooster
Worthington
Wyoming
Xenia
Yellow Springs
Youngstown
Zanesville
OiOAHOMA
Ada
Altus
Alva
Anadarko
Antlers
Apache
Ardmore
Arkoma
Atoka
Barnsdall
Bartlesville
Beggs
Bethany
Bixby
Blackwell
Blanchard
Bristow
Broken Arrow
Broken Bow
Bums Flat
Carnegie
Catoosa
Chandler
Checotah
Chelsea
Cherokee
Chickasha
Choctaw
Chouteau
Claremore
Clayton
Cleveland
Clinton
Coalgate
CoUinsville
Comanche
Commerce
CordeU
Coweta
Coyle
Crescent
Cushing
Davis
Del City
Dewey
Drumright
Duncan
Durant
Edmond
Elk City
Elmore City
El Reno
Enid
Erick
Eufaula
Fairfax
Fairview
OiCLAHOMA— Continued
47
28
24
18
4
15
5
5
38
42
19
62
12
208
70
42
48
10
20
10
4
54
4
12
5
79
6
34
16
20
9
15
95
15
2
9
15
11
11
8
8
45
15
6
45
6
6
30
6
6
5
5
6
12
2
7
22
12
43
9
5
49
31
93
25
5
29
108
2
8
9
9
4
1
33
5
31
11
15
4
42
20
8
4
177
31
55
15
32
10
41
7
5
5
16
4
6
4
4
37
17
4
11
1
3
2
49
30
2
4
24
10
12
4
15
5
5
4
11
4
69
26
10
5
7
6
3
11
4
7
4
7
4
3
5
4
4
34
11
13
2
4
2
29
16
4
2
6
21
9
5
1
4
2
5
5
6
8
4
4
3
17
5
10
2
34
9
8
1
5
43
6
25
6
74
19
17
8
2
3
24
5
83
25
2
Forest Park ...
Fort Gibson
Frederick
Geary
Glenpool
Goodwell
Gore
Granite
Grove
Guthrie
Guymon
Harrah
Hartshome
Haskell
Healdton
Heavener
Hennessey
Henryetta
Hobart
Holdenville . . .
HoUis
Hominy
Hugo
Hulbert
Idabel
Inola
Jay
Jenks
Jones
Kingfisher
Kingston
Konawa
ICrebs
Laveme
Lawton
Lexington
Lindsay
Locust Grove
Lone Grove ..
Luther
Madill
Mangum
Mannford
Marietta
Marlow
Maud
Maysville
McAlester
McLoud
Meeker
Miami
Midwest City
Minco
Moore
Morris
Muldrow
Muskogee
Mustang
Newcastle
Newkirk
Nichols Hills .
Nicoma Park
Noble
Norman
Nowata
Oilton
Okeene
Okcmah
Oklahoma City
Okmulgee
Oologah
Owasso
Pauls Valley ..
Pawhuska
Pawnee
3
2
5
5
17
11
8
4
13
8
2
2
3
3
3
3
20
12
27
22
19
12
6
6
5
5
6
6
7
3
9
6
8
4
15
10
12
7
12
8
9
5
11
6
14
10
6
4
24
18
3
1
10
5
16
12
4
4
8
6
4
4
6
3
2
2
5
2
189
148
10
6
10
7
7
2
4
4
4
4
10
10
10
6
9
5
3
3
11
10
3
3
5
4
49
39
7
3
5
5
33
26
118
88
2
2
64
47
4
4
10
4
94
72
20
14
11
6
5
5
19
14
4
4
13
9
133
102
8
6
3
3
6
2
10
6
1,182
882
34
27
5
3
23
16
22
14
13
7
5
5
284
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
OKLAHOMA— Continued
OREGON— Continued
Perkins
Perry
Piedmont . . .
Pocola
Ponca City
Porum
Poteau
Prague
Pryor
Purcell
Ringling . . . .
Roland
Rush Springs
Salina
Sallisaw
Sand Springs
Sapulpa
Sayre
Seminole
Shattuck . . . .
Shawnee
Shidler
Skiatook . . . .
Snyder
Spencer
Spiro
Stigler
Stillwater . . .
StilweU
Stratford . . . .
Stroud
Sulphur
Tahlequab
Talihina
Tecumseh . . .
Tishomingo
Tonkawa
Tulsa
Tuttle
Valliant
Vian
ViUage
Vinita
Wagoner
Walters
Warner
Warr Acres
Watonga
Waukomis
Waurika
Waynoka ....
Weatherford
Weleetka ....
Westville ....
Wetumka . . .
Wewoka
Wilburton . . .
Woodward
Wright City
Wynnewood
Yale
Yukon
Albany
Amity ...
Ashland .
Astoria . .
Athena
Aumsville
Aurora
Baker . . .
Bandon
Beaverton
OREGON
4
17
6
8
60
2
19
9
22
22
3
8
4
1
18
36
46
9
19
6
66
1
13
2
8
5
12
73
15
3
10
12
30
7
16
12
11
877
4
12
4
6
54
2
14
6
17
17
3
4
4
1
15
26
36
6
14
2
48
1
9
2
7
5
7
53
10
3
6
7
22
4
11
8
7
699
5
4
4
21
12
12
5
2
20
7
1
3
3
17
4
4
5
II
5
19
3
4
3
21
4
5
8
3
5
4
4
178
3
4
12
Bend
Boardman
Brookings
Bums
Butte Falls
Canby
Cannon Beach .
Canyonville
Carlton
Central Point . .
Clatskanie
Coburg
Coos Bay
Coquille
Cornelius
Corvallis
Cottage Grove ..
Culver
Dallas
Dundee
Eagle Point
Elgin
Enterprise
Eugene
Florence
Forest Grove ...
Garibaldi
Gearhart
Gervais
Gladstone
Gold Beach
Gold HiU
Grants Pass
Gresham
Heppner
Hermiston
Hillsboro
Mines
Hood River
Hubbard
Independence . . .
Jacksonville
Jefferson
John Day
Junction City ...
Keizer
King City
Klamath Falls ..
La Grande
Lake Oswego ...
Lakeview
Lebanon
Lincoln City
Madras
McMinnville
Medford
Merrill
Milton-Freewater
Milwaukie
Molalla
Monmouth
Mount Angel ...
Myrtle Creek ...
Myrtle Point ...
Newberg
Newport
North Bend ....
North Plains ...
Nyssa
Oakland
Oakridge
Ontario
Oregon City
Pendleton
I Philomath
47
37
2
2
18
II
9
5
19
14
8
7
4
3
18
12
6
5
2
2
38
27
11
9
10
9
69
43
21
15
16
14
3
3
6
5
3
3
4
4
284
145
16
10
29
20
2
2
2
2
2
2
16
11
6
5
37
27
104
75
3
3
23
16
56
50
2
2
12
10
4
4
9
8
3
3
2
2
8
4
II
7
27
23
2
2
35
31
31
18
61
38
5
5
27
19
25
18
8
7
26
20
99
69
13
8
30
21
9
8
10
9
5
4
14
8
8
6
28
18
24
20
22
16
2
2
7
7
2
2
11
6
24
16
30
24
30
23
7
6
285
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued
City
Total
police
employees
Total
ofTicers
Total
civilians
City
Total
police
employees
Total
officers
OREGON— Continued
Phoenix
Pilot Rock
Portland
Powers
Prairie City
Prineville
Rainier
Redmond
Reedsport
Rockaway
Roque River
Roseburg
St. Helens
Salem
Sandy
Scappoose
Seaside
Shady Cove
Sherwood
Silverton
Sisters
Springfield
Stanfield
Stayton
Sutherlin
Sweet Home
Talent
The Dalles
Tigard
Tillamook
Toledo
Troutdale
Tualatin
Turner
Umatilla
Umatilla Tribal
Union
Vale
Vemonia
Waldport
Warrenton-Hammond
West Linn
Weston
Willamina
Winston
Woodbury
Yamhill
PENNSYLVANU
Abington Township
Adams Township
Akron
Albion
Alburtis
Aldan
Aleppo Township
Aliquippa
Allegheny Township (Blair County)
Allegheny Township (Westmoreland County)
Allentown
Altoona
Ambler
Ambridge
Amity Township
Annville Township
Archbald
Armagh Township
Arnold
Ashland
Ashley
Aspinwall
Aston Township
Athens
Athens Township
6
2
1,006
2
2
20
6
20
18
3
5
38
21
217
9
8
22
I
5
II
4
79
3
12
10
17
5
17
51
9
12
14
24
2
7
12
2
5
5
4
5
22
1
2
12
23
2
III
3
4
2
2
4
5
18
4
6
207
5
2
811
2
2
13
5
15
12
3
5
33
16
147
8
6
17
1
5
10
3
52
3
10
8
13
4
15
39
8
8
12
22
2
6
7
2
5
4
3
5
18
1
2
7
19
2
90
3
4
2
2
4
5
18
4
5
186
70
II
II
5
5
5
11
5
2
5
16
5
6
I
195
PENNSYLVANIA— Continued
Auburn
Avalon
Avoca
Baden
Baldwin Borough
Baldwin Township
Bangor
Bamesboro
Barrett Township
Bath
Beaver
Beaver Falls
Bedford
Bedminster Township
Belle Acres
Bellefonte
Belle Veraon
Bellevue
Bellwood
Ben Avon
Bensalem Township
Bentleyville
Benton
Benzinger Township
Berlin
Berwick
Bessemer
Bethel Park
Bethel Township (Lebanon County)
Bethlehem
Bethlehem Township
Big Beaver
Biglerville
Birdsboro
Birmingham Township
Blair Township
Blairsville
Blakely
Blawnox
Bloomsburg Town
Blossburg
Boyertown
Brackenridge
Braddock
Braddock Hills
Bradford
Bradford Township
Brecknock Township
Brentwood
Briar Creek Township
Bridgeport
Bridgeville
Bridgewater
Brighton Township
Bristol
Bristol Township
Brockway
Brookhaven
Brookville
Brownsville
Bryn Athyn
Buckingham Township
Burgettstown
Bumham
Bushkill Township
Butler
Butler Township (Butler County)
Butler Township (Luzerne County)
Butler Township (Schuylkill County)
Caernarvon Township (Berks County) ...
Caernarvon Township (Lancaster County)
California
Cain Township
Cambria Township
Cambridge Springs
1
9
2
4
27
5
6
2
5
3
12
1
7
5
1
12
1
18
I
4
88
2
2
7
2
16
1
43
I
144
20
3
I
5
2
3
5
6
4
15
3
6
4
7
4
21
5
3
16
2
11
6
2
4
15
87
2
10
9
10
5
15
I
6
4
27
23
4
3
4
I
9
15
1
2
8
1
7
4
22
5
5
6
7
5
3
8
4
18
6
1
5
1
9
1
3
13
1
5
4
70
18
■>
7
6
1
7
12
1
4
35
1
8
125
19
19
1
3
t
5
7
3
5
6
4
12
3
3
6
4
3
4
3
1
19
2
5
■>.
12
4
7
10
1
6
?
4
14
1
68
19
■>
9
1
7
2
6
4
5
14
1
1
2
4
4
24
3
18
5
4
1
4
1
6
3
13
1
2
7
286
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued
City
Total
police
employees
Total
ofTicers
Total
civilians
City
Total
police
employees
Total
officers
PENNSYLVANU— Cootinned
Camp Hill
Canonsburg
Canton
Carbondale
Carlisle
Carmicbaels
Carnegie
Carroll Township (Washington County)
Carroll Township (York County)
CanoU Valley
CarroUtown
Castle Shannon
Catasauqua
Catawissa
Cecil Township
Center Township
Centerville
Central City
Chalfont
Chambersburg
Charleroi
Chartiers Township
Cheltenham Township
Chester
Chester Hill
Chester Township
Cheswick
Chippewa Township
Churchill
Clarion
Qark
Clarks Summit
Qearfield
Cleona
Clifton Heights
Clinton Township
Coaldale
Coalport
Coal Township
Coatesville
Cochranton
Colcbrookdale Township
CoUegeviUe
Collier Township
CoUingdale
Columbia
Colwyn
Conemaugh Township (Cambria County)
Conemaugh Township (Somerset County)
Conestoga Township
Conewago Township
Conewango Township
Connellsville
Conshohocken
Conway
Conyngham
Conyngham Township
Coolbaugh Township
Coopersburg
Coplay
Coraopolis
Cornwall
Corry
Coudersport
Covington Township
Crafton
Cranberry Township
Crescent Township
Cresson
Cressona
Cresson Township
Cumberland Township (Adams County)
Ciunberland Township (Green County)
Cumru Township
Curwensville
15
2
13
32
2
18
4
6
2
1
10
9
3
9
14
4
2
4
28
10
5
88
121
1
7
3
7
10
9
1
4
9
2
12
2
3
I
12
31
2
6
6
8
10
18
3
I
6
3
5
4
17
13
3
2
I
9
5
4
13
2
16
3
2
13
18
1
2
2
1
5
2
24
2
8
13
2
13
29
1
12
4
6
2
I
9
8
3
9
14
4
2
3
25
10
5
79
105
I
7
3
6
10
9
1
3
8
2
10
2
3
I
12
22
2
6
6
8
9
13
2
I
6
3
5
4
15
12
3
2
I
8
5
4
9
2
12
3
2
9
16
1
2
2
1
5
2
22
2
PENNSYLVANU— Continoed
Dale
Dallas
Dallas Township
Dalton
Danville
Darby
Darby Township
Daugherty Township
Denver
Derry
Derry Township (Dauphin County)
Derry Township (Mifflin County)
Dickson City
Dillsburg
Donegal Township
Donora
Dormont
Douglass Township (Berks County)
Douglass Township (Montgomery County)
Downingtown
Doyleslown
Doylestown Township
Du Bois
Duboistown
Dunbar
Duncannon
Duncansville
Dunmore
Dupont
Duquesne
Duryea
East Berlin
East Bethlehem Township
East Brandywine Township
East Buffalo Township
East Cocalico Township
East Conemaugh
East Coventry Township
East Deer Township
East Donegal Township
East Earl Township
East Franklin Township
East Hempfield Township
East Lampeter Township
East Lansdowne
East McKeesport
East Norriton Township
Easton
East Pennsboro Township
East Pikeland Township
East Pittsburgh
East Rockhill Township
East Stroudsburg
East Taylor Township
Easttown Township
East Vincent Township
East Washmgton
East Whiteland Township
Ebensburg
Economy
Eddystone
Edgewood
Edgeworth
Edinboro
Edwardsville
Elizabeth
Elizabethtown
Elizabeth Township
Elkland
Ellwood City
Emmaus
Emporium
Emsworth
Ephrala
Ephrata Township .
I
4
7
2
8
14
II
I
4
2
26
7
9
5
I
6
13
3
7
12
15
16
II
I
I
2
I
20
2
14
3
1
3
7
5
13
2
2
1
I
4
2
21
21
3
2
23
57
15
5
2
1
13
2
13
4
2
13
5
6
5
7
5
7
7
1
11
14
2
12
14
2
3
18
5
287
Table 72.— Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued
City
Total
police
employees
Total
ofTicers
Total
civilians
City
Total
police
employees
Total
ofTicers
PENNSYLVANIA— Continued
Erie
Etna
Everett
Everson
Exeter
Exeter Township (Berks County) ....
Exeter Township (Luzerne County)
Fairchance
Fairview
Fairview Township (Luzerne County)
Fairview Township (York County) ..
Fallowfield Township
Falls Township (Bucks County)
Farrell
Fawn Township
Fell Township
Ferguson Township
Femdale
Findlay Township
Fleetwood
Folcroft
Ford City
Forest City
Forest Hills
Forks Township
Forty Fort
Forward Township
Foster Township
Fountain Hill
Fox Chapel
Frackville
Franconia Township
Franklin (Cambria County)
Franklin (Venango County)
Franklin Park
Franklin Township (Beaver County)
Franklin Township (Carbon County)
Freedom-Greenfield Township
Freeland
Freemansburg
Freeport
Galeton
Gallitzin Township
Geistown
German Township
Gettysburg
Girard
GirardviUe
Glassport
Glenolden
Glen Rock
Granville Township
Greencastle
Greensburg
Green Tree
Greenville
Grove City
Hallstead
Hamburg
Hampden Township
Hampton Township
Hanover
Hanover Township
Harmar Township . .
Harmony Township
Harrisburg
Harrison Township .
Harveys Lake
Hastings
Hatboro
Hatfield Township
Haverford Township
Hazleton
Hegins Township ...
Heidelberg
219
8
4
1
6
16
2
1
1
3
13
3
59
16
3
I
12
2
17
5
9
4
2
14
10
6
5
5
7
12
6
8
1
22
6
1
4
2
5
2
2
1
1
2
1
15
4
1
4
8
2
5
3
32
II
12
9
2
6
13
20
16
18
5
4
218
17
3
1
18
27
75
28
2
3
193
7
3
1
4
15
2
1
1
3
12
3
49
14
3
1
12
2
11
5
9
4
2
10
9
5
5
4
7
12
6
7
1
17
6
1
4
2
5
2
2
1
1
2
1
13
4
1
4
7
2
5
3
26
10
11
9
2
6
13
1
14
14
5
4
173
13
3
1
13
19
62
25
2
3
PENNSYLVANLV— Conddued
Heidelberg Township (Berks County)
Heidelberg Township (Lebanon County)
Hellam Township
Hellertown
Hemlock Township
Hempfield Township
Hermitage
Highspire
Hilltown Township
Holidaysburg
Homer City
Homestead
Honesdale
Hooversville
Hopewell Township
Horsham Township
Houtzdale
Hughesville
Hummelstown
Huntingdon
Independence Township
Indiana
Indiana Township
Industry
Ingram
Irwin
Jackson Township (Butler County)
Jackson Township (York County)
Jeannette
Jefferson
Jefferson Township
Jenkins Township
Jenkintown
Jermyn
Jersey Shore
Jessup
Jim Thorpe
Johnsonburg
Johnstovra
Jones Township
Kane
Kennedy Township
Kennett Square
Kidder Township
Kilbuck Township
Kingston
Kingston Township
Kittanning
Kline Township
Kulpmont
Kutztown
Lake City
Lake Township
Lancaster
Lansdale
Lansdowne
Lansford
Larksville
Latrobe
Laureldale
Lawrence Park Township
Lawrence Township
Lebanon
Leechburg
Leetsdale
Leet Township
Lehighton
Lehigh Township
Lehman Township
Lemoyne
Lewisburg
Lewis Run
Lewistown
Ligonier
Ligonier Township
1
1
6
10
2
7
30
5
16
12
1
8
6
1
12
41
1
4
6
13
2
27
7
4
6
4
2
8
19
14
1
4
14
2
6
1
6
5
48
1
6
12
10
9
1
27
8
9
1
4
9
2
2
155
28
21
5
4
12
3
7
8
44
3
3
5
10
8
2
7
7
1
20
2
2
1
1
6
9
2
6
25
5
13
7
1
7
6
1
11
34
1
4
6
II
2
20
7
4
6
4
2
7
16
13
1
4
13
2
6
1
5
5
44
1
6
II
9
9
1
26
8
8
1
4
8
2
2
126
21
17
5
4
U
3
6
8
37 .
3
3
5
8
7
2
6
7
1
15
2
2
288
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued
City
Total
police
employees
Total
ofTicers
Total
civilians
City
Total
police
employees
Total
officers
PENNSYLVANU— CondButd
PENNSYLVANIA— Continued
LiUy
Limerick Township
Lincoln
Linesville
Lititz
Littlestown
Lock Haven
Locust Township
Logan Township
Loretto
Lower Allen Township
Lower Alsace Township
Lower Burrell
Lower Chichester Township
Lower Gwynedd Township
Lower Makefield Township
Lower Merion Township
Lower Moreland Township
Lower Mount Bethel Township
Lower Paxton Township
Lower Pottsgrove Township
Lower Providence Township
Lower Salford Township
Lower Saucon Township
Lower Southampton Township
Lower Swatara Township
Lower Yoder Township
Luzerne
Luzerne Township
Lykens
Macungie
Makanoy City
Mahoning Township (Carbon County)
Mahoning Township (Montour County)
Malvern
Manheim
Manbeim Township
Manor Township
Mansfield
Marcus Hook
Marietta
Marlborough Township
Marple Township
Mars
Martinsburg
MarysviUe
Masontown
Matamoras
Mayfield
McAdoo
McCandless
McConnellsburg
McDonald
McKeesport
McKees Rocks
McSherrystown
Meadville
Mechanicsburg
MecbanicsviUe
Media
Menallen Township
Mercer
Mercersburg
Meyersdale
Middleburg
Middlesex Township (Butler County)
Middlesex Township (Cumberland County)
Middletown
Middletown Township
Midland
MifTlinburg
Mifflin Town
Milford
Millboume
Millcreek Township
1
11
1
2
9
5
13
I
20
1
21
7
13
4
19
27
162
28
I
50
9
32
12
14
25
12
4
2
1
2
3
7
4
5
7
6
56
15
5
5
3
5
41
2
3
5
2
I
3
33
2
2
43
13
4
29
15
I
20
1
3
2
4
I
4
g
16
58
4
5
I
2
4
62
1
9
I
2
8
5
12
I
14
1
20
7
13
4
16
24
134
21
I
44
8
25
II
10
22
II
4
2
I
2
3
6
4
5
6
6
43
14
5
4
2
4
32
I
2
3
5
2
1
3
27
2
2
41
9
4
22
14
I
13
I
3
2
4
I
4
7
15
47
4
5
I
2
4
48
14
Millersburg
Millersville
Millvale
MillviUe
M ilton
Minersville
Mohnton
Monaca
Monessen
Monongahela
Monroeville
Montgomery
Montgomery Township
Montoursville
Montrose
Moon Township
Moore Township
Moosic
Morrisville
Morton
Moscow
Mountaintop Regional
Mount Carmel
Mount Carmel Township
Mount Holly Springs
Mount Jewett
Mount Joy
Mount Joy Township
Mount Lebanon
Mount Oliver
Mount Penn
Mount Pleasant
Mount Pocono
Mount Union
Muhlenberg Township
Muncy
Munhall
Murrsville
Myerstown
Nanticoke
Nanty Glo
Narberth
Nazareth Area
Neshannock Township
Nesquehoning
Nether Providence Township
Neville Township
Newberry Township
New Bethlehem
New Brighton
New Britain
New Britain Township
New Castle
New Cumberland
New Eagle
New Freedom
New Hanover Township
New Holland
New Hope
New Kensington
New Oxford
Newport
Newport Township
New Sewickley Township
Newton Township (Lackawanna County)
Newtown
Newtown Township (Bucks County)
Newtown Township (Delaware County)
Newville
New Wilmington
Nockamixon Township
Norristown
Northampton
Northampton Township
North Belle Vernon
9
8
5
4
53
41
5
5
5
5
3
3
3
3
6
5
24
23
3
3
22
18
20
16
4
4
16
12
2
2
6
6
12
11
4
4
12
12
8
6
11
10
3
2
10
5
8
7
39
35
5
5
12
3
3
3
6
6
9
8
9
7
26
24
2
2
2
2
7
4
6
5
3
3
3
3
17
15
15
14
3
3
4
4
3
3
81
73
14
10
44
37
2
2
289
Table 72.— Nunber of FoU-time Law Enforcement Employees, Cities, October 31, 1990 — Continued
Gty
Total
police
employees
Total
oflficers
Total
civilians
City
Total
police
employees
Total
ofTicers
PENNSYLVANU— Contiinied
North Bethlehem Township
North Braddock
North Catasaqua
North Charleroi
North Codorus Township
North Cornwall Township
North Coventry Township
North East
Northeastern Regional
Northern York Regional
North Fayette Township
North Franklin Township
North Huntington Township
North Lebanon Township
North Londonderry Township
North Middleton Township
North Sewickley Township
North Strabane Township
Northumberland
North Versailles Township
North Wales
Norwegian Township
Norwood
Oakdale
Oakmont
O'Hare Township
Ohio Township
Ohioville
Oil City
Old Forge
Old Lycoming Township
Oley Township
Olyphant
Orangeville
Orwigsburg
Osceola Mills
Oxford
Palmerton
Palmer Township
Palmyra
Parkside
Parks Township
Patterson Township
Patton
Patton Township
Paxtang
Pen Argyl
Penbrook
Penn Hills
Penn Township (Butler County)
Peiu Township (Lancaster County)
Penn Township (Westmoreland County)
Penn Township (York County)
Pequea Township
Perkasie
Perryopolis
Peters Township
Philadelphia
Philipsburg
Phocnixville
Pine Creek Township
Pine Grove
Pine Township
Pitcaim
Pittsburgh
Pittston
Plainfleld Township
Plains Township
Pleasant Hills
Plum
Plumstead Township
Plymouth
Plymouth Township
Pocono Township
Point Marion
1
4
4
2
2
10
6
12
7
33
16
8
24
8
4
5
2
8
2
12
4
1
7
I
9
12
3
1
24
7
8
I
6
I
4
1
8
9
23
9
2
1
4
2
II
3
3
5
58
4
4
13
19
3
12
2
23
7,586
1
27
I
3
II
3
1,181
12
6
8
18
23
6
10
40
10
I
1
4
4
2
2
8
5
6
6
29
12
8
19
7
4
5
2
8
2
12
4
1
6
1
7
12
3
1
18
6
7
I
6
I
4
I
7
8
18
8
2
1
4
2
10
3
3
5
50
3
4
12
17
3
11
2
18
6,651
I
22
I
3
II
3
1,147
9
6
8
14
19
6
6
33
9
1
5
935
PENNSYLVANIA— Continued
Point Township
Portage
Port Allegany
Port Carbon
Port Vue
Pottstown
Pottsville
Prospect Park
Puiusutawney
Pymatuning Township
Quakertown
Raccoon Township
Radnor Township
Ralpho Township
Rankin
Reading
Red Lion
Redstone Township
Reserve Township
Reynoldsville
Richland
Richland Township (Allegheny County)
Richland Township (Cambria County)
Ridgway
Ridley Park
Ridley Township
Riverside
Roaring Brook Township
Roaring Spring
Robesonia-Heidelberg
Robeson Township
Robinson Township
Rochester
Rochester Township
Rockledge
Rosslyn Farms
Ross Township
Rostraver
Royersford
Rush Township
Rye Township
Saegertown
St. Clair
St. Marys
Salisbury Township
Saltsburg
Sandy Lake
Sandy Township
Saxonburg
Sayre
Schuylkill Haven
Schuylkill Township
Scottdale
Scott Township (Allegheny County)
Scott Township (Columbia County)
Scott Township (Lackawanna County)
Scranton
Selinsgrove
Sellersville
Seven Springs
Sewickley
Sewickley Heights
Shaler Township
Shamokin
Shamokin Dam
Sharon
Sharon Hill
Sharpsburg
Sharpsville
Sheffield Township
Shenandoah
Shenango Township (Lawrence County)
Shenango Township (Mercer County)
Shickshinny
Shillington
4
2
3
3
3
48
32
8
15
6
15
2
60
4
1
203
5
2
3
2
I
22
II
6
9
42
3
I
I
2
2
20
9
1
4
2
48
10
7
I
I
I
6
8
11
1
I
5
1
9
II
6
7
29
4
2
146
6
4
6
14
8
39
17
3
34
10
6
6
2
7
4
3
1
8
4
2
3
3
3
40
28
8
9
6
13
2
50
4
1
175
5
2
3
i.
1
17
5
10
1
6
8
1
34
8
3
1
I
7
7
15
5
8
1
1
4
7
39
9
9
1
6
1
1
7
I
10
I
I
^
1
8
1
7
4
5
I
7
25
4
4
7
140
6
5
1
4
6
10
4
7
1
30
9
13
4
3
27
7
9
1
6
5
1
•)
7
4
2
1
1
7
1
290
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued
Cily
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
Total
civilians
PENNSYLVANU— Conttaoed
PENNSYLVANU— Continued
Shippensburg
Shippingport
Shiremanstown
Shrewsbury
Silver Spring Township
Sinking Spring
Slatington
Slippery Rock
Smetbport
Smithfield
Smith Township
Synder Township
Solebury Township
Somerset
Souderton
South Abington Township
South Beaver Township
South Centre Township
South Coatesville
South Fayette Township
South Fork
South Greensburg
South Lebanon Township
South Londonderry Township
Southmont
South Park Township
South Strabane Township
South Waverly
Southwest Greensburg
South Whitehall Township
South Williamsport
Spangler
Spring City
Springdale
Springettsbury Township
Springfield Township (Bucks County)
Springfield Township (Delaware County) . . .
Springfield Township (Montgomery County)
Spring Garden Township
Spring Township (Berks County)
Spring Township (Centre County)
State College
Steelton
Stoneboro
Stoneycreek Township
Stowe Township
Strasburg
Stroudsburg
Stroud Township
Sugarcreek
Sugarloaf Township
Summit Hill
Sunbury
Susquehanna
Susquehanna Township (Cambria County)
Susquehanna Township (Dauphin County)
Swarthmore
Swatara Township
Swissvale
Swoyersville
Sykesville
Tamaqua
Tarentum
Taylor
Telford
Temple
Thombury Township
Throop
Tinicum Township (Bucks County)
Tinicum Township (Delaware County)
TitusviUe
Tobyhanna Township
Topton
Towamencin Tovraship
Towanda
10
3
2
3
10
4
6
4
2
I
2
2
9
7
6
II
1
4
3
13
I
2
7
4
2
14
8
2
2
38
5
1
5
3
27
5
34
31
17
17
3
69
10
I
3
10
3
14
16
4
2
4
21
2
1
31
8
37
15
7
1
15
II
7
7
5
I
4
4
14
14
II
6
17
4
9
3
2
3
10
4
6
4
2
I
2
2
8
6
5
10
I
4
2
13
1
2
6
4
2
13
8
2
2
34
5
1
4
3
24
5
32
30
16
17
3
54
9
I
3
10
3
10
15
4
2
4
14
2
1
28
8
34
II
5
I
II
7
7
6
2
I
4
4
12
13
10
6
'I
TrafTord
Trainer
Tredyffrin Township
Troy
Tullytown
Tunkhannock
Tunkhannock Township
Turtle Creek
Tyrone
Union City
Uniontown
Union Township (MifTlin Couhty)
Union Township (Washington County)
Upland
Upper Allen Township
Upper Chichester Township
Upper Darby Township
Upper Dublin Township
Upper Gwynedd Township
Upper Makefield Township
Upper Merion Township
Upper Moreland Township
Upper Mount Bethel Township
Upper Nazareth Township
Upper Pottsgrove
Upper Providence Township (Delaware
County)
Upper Providence Township (Montgomery
County)
Upper St. Qair Township
Upper Saucon Township
Upper Southhampton Township
Upper Uwchlan Township
Upper Yoder Township
Uwchlan Township
Valley Township
Vandergrift
Vanport Township
Vernon Township
Verona
Versailles
Walnutport
Warminster Township
Warren
Warrington Township
Warwick Township (Bucks County)
Warwick Township (Lancaster County)
Washington
Washington Township (Fayette County)
Washington Township (Franklin County)
Washington Township (Norihampton County)
Watsontown
Waynesboro
Waynesburg
Weatherly
Wellsboro
Wemersville
Wesleyville
West Brandywine Township
West Chester
West Conshohocken
West Deer Township
West Donegal Township
West Earl Township
West Fairview
Weslfall Township
Westfield
West Goshen Township
West Grove
West Hazleton
West Hempfield Township
West Hills Regional
West Homestead
West Lampeter Township
West Manchester Township
I
4
55
3
9
4
I
9
II
6
27
2
5
2
14
22
140
41
16
9
68
46
5
2
4
10
10
30
14
24
4
6
1
2
7
3
3
3
2
3
50
23
16
8
14
27
I
10
2
5
15
7
3
5
2
3
9
51
5
7
5
2
!
2
2
25
3
7
15
7
11
6
22
I
4
47
3
8
4
I
7
5
3
23
2
5
2
13
19
112
36
15
9
53
37
5
2
4
10
9
26
13
21
4
6
16
2
7
3
3
3
2
3
43
18
14
7
13
26
1
9
2
5
14
7
3
5
2
3
9
37
5
6
5
2
1
2
2
22
3
7
14
7
7
6
20
291
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
PENNSYLVANU— Condnued
RHODE ISLAND— Continued
West Manheim Township
West Mayfield
West Middlesex
West Mifflin
West Newton
West Norriton Township
West Pittslon
West Pottsgrove Township
West Reading
West RockhiU Township ..
Westtown Township
West View
West Whiteland Township
West Wyoming
West York
Wheatland
Whitehall
Whitehall Township
White Haven
Whitemarsh Township ....
White Oak
Whitpain Township
Wiconisco Township
Wilkes-Barre
Wilkes-Barre Township ...
Wilkinsburg
Wilkins Township
Williamsburg
Williamsport
WiUiamstown
Willistown Township
Wilmerding
WUson
Windber
Wind Gap
Windsor Township
Womelsdorf
Woodward Township
Wormleysburg
Wrightsville
Wyoming
Wyomissing
Wyomissing Hills
Yardley
Yeadon
York
York Springs - Latimore
York Township
Youngsville
Zelienople
RHODE ISLAND
Harrington
Bristol
BurrillviUe
Central Falls ...
Charleslown
Coventry
Cranston
Cumberland
East Greenwich
East Providence
Foster
Glocester
Hopkinton
Jamestown
Johnston
Lincoln
Little Compton .
Middletown
Narragansett
Newport
New Shoreham
North Kingstown
6
1
1
34
2
26
II
7
7
4
15
11
19
4
6
1
25
47
2
33
10
26
1
111
13
34
11
1
53
1
13
2
7
3
3
9
2
1
7
2
5
21
3
3
17
111
2
23
2
10
29
49
23
36
21
63
179
50
38
111
12
13
14
14
74
36
II
41
39
111
7
59
1
29
5
7
22
4
6
5
7
7
4
13
2
8
3
18
1
4
6
20
5
36
II
7
29
4
10
23
1
3
90
21
9
4
27
7
M
1
49
1
4
12
1
7
7
2
1
3
8
1
7
1
5
2
7
4
1
16
5
3
3
16
1
96
15
7
21
2
2
22
39
18
34
16
50
146
43
28
91
8
9
9
12
57
31
7
38
30
89
3
48
North Providence
North Smithfield
Pawtucket
Portsmouth
Providence
Richmond
Scituate
Smithfield
South Kingstown
Tiverton
Warren
Warwick
Westerly
West Greenwich .
West Warwick ...
Woonsocket
SOUTH CAROLINA
Abbeville
Aiken
Allendale
Anderson
Andrews
Aynor
Bamberg
Barnwell
Batesburg
Beaufort
Belton
Bennettsville
Bethune
Bishopville . .
Blacksburg . . .
Blackville
Bowman
Calhoun Falls
Camden
Central
Chapin
Charleston . . .
Cheraw
Chesnee
Chester
Chesterfield
Clerason
Clinton
Clover
Columbia
Conway
Darlington ...
Denmark
Dillon
Due West ....
Duncan
Easley
Edgefield
Edisto Beach
EUoree
Estill
Eutawville
Fairfax
Florence
Folly Beach ..
Forest Acres .
Fort Mill ....
Fountain Inn
Gaffney
Gaston
Georgetown
Goose Creek
Gray Court
Great Falls
Greenville
Greenwood
68
52
22
18
178
144
29
27
523
440
5
4
19
13
41
32
57
43
33
24
27
21
220
169
44
38
II
6
57
51
HI
102
18
14
101
80
12
7
86
64
15
II
5
2
8
7
11
10
14
10
35
32
20
15
23
21
2
2
18
14
10
6
5
4
2
2
7
6
29
23
5
5
2
2
353
253
25
20
6
6
22
20
6
5
28
22
27
25
14
10
278
226
40
32
29
21
7
7
22
17
4
4
4
3
32
26
12
7
2
2
5
5
12
5
3
2
5
5
90
73
13
8
33
25
17
12
17
12
31
24
2
1
39
36
37
27
2
2
8
7
196
162
66
53
292
Table 72. — Number of Full-tiine Law Enforcement Employees, Cities, October 31, 1990 — Continued
City
SOUTH CAROLINA— Contloued
Greer
Hampton
Hanahan
Hardeeville
Heath Springs
Hemingway
Holly HiU
Honea Path
Inman
Irmo
Isle of Palms
Iva
Jackson
Johnsonville
Johnston
Jonesville
Kershaw
Kingstree
Lake City
Lakeview
Lamar
Lancaster
Landrum
Latta
Laurens
Leesville
Lexington
Liberty
Loris
Lyman
Manning
Marion
Mauldin
McBee
McCormick
Moncks Comer
Mount Pleasant ...
Mtillins
Newberry
New Ellenton
Ninety Six
North Augusta
North Charleston . .
North Myrtle Beach
Orangeburg
Pacolet
Pacolet Mills
Pageland
Pendelton
Pickens
Port Royal
Prosperity
Ridgeland
Ridge Spring
Rock Hill
St. George
St. Matthews
St. Stephens
Saluda
Santee
Seneca
Simpsonville
South Congaree
Spartanburg
Springdale
SuUivans Island
Summerton
Summerville
Sumter
Surfside Beach
Tega Cay
TimmonsviUe
Travelers Rest
Union
Vamville
Total
police
employees
Total
officers
39
30
9
8
26
20
12
8
2
2
7
4
10
6
15
11
4
4
16
15
25
17
5
4
4
4
8
4
9
6
6
4
11
6
20
15
25
20
6
6
3
3
42
34
9
9
10
6
25
24
8
8
12
11
13
7
4
4
6
5
14
13
26
20
31
25
2
1
6
5
21
16
63
50
18
14
26
22
4
4
9
5
57
45
187
134
67
49
51
40
2
2
16
12
6
6
10
9
14
12
4
4
6
5
3
3
97
78
5
5
5
5
5
5
8
8
6
4
28
21
29
20
3
3
152
132
7
7
7
7
9
5
39
36
93
66
12
9
12
7
8
5
23
19
37
27
3
3
Total
civilians
20
City
SOUTH CAROUNA— Continued
Wagener
Walhalla
Wallerboro
Ware Shoals
West Columbia
Westminster
Whitmire
Williamston ...
Williston
Winnsboro
Woodruff
York
SOUTH DAKOTA
Aberdeen
Belle Fourche
Beresford ...
Brandon
Brookings
Burke
Canton
Chamberlain
Deadwood . . .
Eagle Butte ..
Eureka
Fort Pierre ..
Hot Springs
Huron
Kadoka
Lead
Madison
McLaughlin . .
Milbank
Mitchell
Mobridge
Murdo
Parker
Parkston
Pierre
Rapid City ..
Selby
Sioux Falls ..
Spearfish
Sturgis
Vermillion ...
Watertown . . .
Winner
Yankton
Adamsville . .
Alcoa
Algood
Ardmore
Ashland City
Bartlett
Benton
Bolivar
Brentwood
Bristol
Brownsville
Bruceton
Bulls Gap ...
CenterviUe ..
Chattanooga
Church Hill
Clarksville ..
Cleveland ...
Collegedale
Collierville . .
Collinwood
Columbia . . .
Cookeville
Total
police
employees
TENNESSEE
50
7
9
4
30
2
4
8
9
3
4
3
7
23
1
8
13
3
6
29
10
1
1
2
24
109
1
159
14
10
24
29
16
35
26
5
9
5
60
4
21
45
48
29
3
2
14
507
6
150
63
8
44
4
63
72
Total
officers
1
12
21
7
26
9
4
13
6
19
12
18
38
7
4
4
25
2
4
4
8
3
4
3
6
22
1
7
10
2
6
22
6
1
I
2
21
81
1
136
10
9
17
25
23
5
22
5
5
5
40
4
16
35
46
23
3
2
10
363
6
131
58
8
32
3
53
57
293
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
Total
civilians
TENNESSEE— Continued
CoraersvlUe
Cowan
CrossviUe
Cumberland Gap
Dandridge
Dayton
Dickson
Dyer
Dyersburg
East Ridge
Ellcton
Erwin
Estill Springs
Etowah
Fairview
FayetteviUe
Franklin
FriendsviUe
Gallatin
Gates
Gatlinburg
Germantown
Gleason
Goodlettsville . . . .
Grand Junction
Greenbrier
Greeneville
HaUs
Harriman
Hartsville
Henderson
HendersonviUe
Hobenwald
Hollow Rock ....
Humboldt
Huntingdon
Huntland
Jackson
Jasper
Jefferson City ...
Jellico
Johnson City
Jonesborough
Kenton
Kimball
Kingsport
Kingston
Knoxville
Lafayette
La FoUette
Lake City
La Vergne
Lawrenceburg
Lenoir City
Lexington
Livingston
Loretto
Loudon
Martin
Maryville
Mason
McKenzie
McMinnville
Memphis
Milan
Millersville
Millington
Minor Hill
Morristown
Mount Juliet
Mount Pleasant
Murfreesboro
Nashville
Newbem
New Johnsonville
1
4
23
I
2
16
34
6
59
38
I
10
3
12
12
26
62
1
46
1
36
55
4
38
2
4
38
6
19
II
18
61
10
2
31
14
2
193
12
16
6
146
13
5
9
127
II
355
14
22
9
22
39
13
25
14
3
10
23
35
3
16
41
1,798
19
5
30
5
57
15
14
111
1.294
13
4
I
4
19
I
2
12
26
6
45
32
1
10
2
8
7
22
50
1
36
1
27
43
4
28
2
4
37
6
19
9
13
45
10
2
25
10
2
143
8
12
5
123
9
5
5
90
8
296
11
17
9
16
28
13
21
12
3
10
18
32
3
12
33
1,379
18
3
24
2
53
10
10
88
994
9
4
10
10
4
8
419
I
2
6
3
4
5
4
23
300
4
TENNESSEE— Continued
Newport
New Tazewell
Norris
Oak Ridge
Obion
Oliver Springs
Pigeon Forge
Portland
Pulaski
Red Bank
Ripley
Rockwood
Rutherford
Savannah
Sevierville
Sewanee
Sharon
Shelbyville
Signal Mountain
Smyrna
Soddy-Daisy
Somerville
South Carthage
South Fulton
Sparta
Spring City
Springfield
Spring Hill
Tazewell
Town of Decaturville
Trenton
Trimble
Tullahoma
Union City
Waverly
Westmoreland
White House
Winchester
Woodbury
TEXAS
Abemathy
Abilene
Addison
Alamo
Alamo Heights
Alice
Allen
Alpine
Alto
Alvarado
Alvin
Amarillo
Andrews
Angleton
Anson
Anthony
Aransas Pass ...
Arlington
Arp
Athens
Atlanta
Austin
Azie
Balch Springs . . .
Balcones Heights
Ballinger
Bangs
Bastrop
Bay City
Baytown
Beaumont
Bedford
Beeville
7
43
9
2
1
n
34
6
11
4
20
5
20
6
24
1
13
4
4
14
4
29
7
8
4
■>
24
5
13
2
24
10
II
5
8
3
3
6
2
13
5
4
6
25
6
6
6
I
12
6
?
29
8
25
9
9
5
4
6
8
4
14
4
6
3
3
209
160
64
48
15
10
26
19
39
30
36
25
II
6
10
5
40
33
317
241
16
14
35
26
5
4
6
6
22
17
457
350
26
20
17
12
1,061
768
26
19
33
23
22
16
8
5
2
2
10
8
35
26
136
101
266
219
84
60
24
18
294
TabJe 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
TEXAS— Continued
Bellaire
Bellmead
Bellville
Belton
Benbrook
Bertram
Beverly Hills
Big Sandy
Big Spring
Bishop
Blue Mound
Boeme
Bonham
Borger
Bowie
Brady
Brazoria
Breckenridge
Brenham
Bridge City
Bridgeport
Brookshire
Brownfield
Brownsville
Brownwood
Bryan
Burkbumett
Burleson
Burnet
Caddo MiUs
Caldwell
Cameron
Caney City
Canton
Canyon
Carrollton
Carthage
Castle HiUs
Cedar Hill
Cedar Park
Center
Childress
Cisco
Clarksville
Cleburne
Cleveland
Cliflon
Clute
Cockrell Hill
Coleman
College Station
Colleyville
Colorado City
Columbus
Comanche
Combes
Commerce
Conroe
Converse
Coppell
Copperas Cove
Corinth
Corpus Christi
Corrigan
Corsicana
Crane
Crockett
Crowley
Crystal City
Cuero
Daingerfield
Dalhart
Dallas
Dalworthington Gardens
Dayton
TEXAS— Continued
14
8
13
7
12
7
15
9
37
25
17
12
13
7
10
6
17
14
193
143
34
27
97
78
17
12
37
30
g
7
2
2
8
7
11
6
2
2
II
7
16
14
172
123
19
13
23
18
35
27
18
12
17
13
12
7
7
7
8
7
48
37
25
18
6
5
24
16
14
9
12
9
93
67
25
18
13
7
7
6
10
6
4
4
22
16
68
54
18
17
30
23
51
37
10
9
516
370
8
5
46
36
11
6
16
11
19
13
9
6
7
7
6
5
16
10
3,592
2.747
7
6
14
9
6
14
1
7
14
I
146
3
10
5
5
6
3
1
6
845
1
5
Decatur
Deer Park
De Kalb
Del Rio
Denison
Denton
Denver City ..
De Soto
Devine
Diboll
Dickinson
Dimmitt
Donna
Dublin
Dumas
Duncanville
Eagle Lake
Eagle Pass
Early
Eastland
Edcouch
Eden
Edgewood
Edinburg
Edna
El Campo
Electra
Elgin
El Paso
Elsa
Ennis
Euless
Everman
Fairfield
Falfurrias
Farmers Branch
Farmersville ...
Ferris
Roresville
Flower Mound
Floydada
Forest Hill
Forney
Fort Stockton
Fort Worth ....
Frankslon
Fredericksburg .
Freeport
Freer
Friendswood . . .
Friona
Frisco
Gainesville
Galena Park ...
Galveston
Garland
Gatesville
Georgetown
Giddings
Gilmer
Gladwater
Glenn Heights
Gonzales
Graham
Granbury ......
Grand Prairie
Grand Saline
Grapevine
Greenville
Gregory
Groesbeck
Groves
Gruver
Gun Barrel City
Hallettsville
14
10
51
41
5
4
60
49
49
41
131
104
12
7
56
37
11
6
14
9
20
16
8
7
24
16
6
5
26
21
76
50
6
5
42
32
5
4
10
8
6
5
3
2
3
3
57
39
8
7
23
18
8
5
14
7
1.050
799
11
6
34
27
82
52
21
15
10
6
9
8
79
66
4
4
11
10
6
6
37
29
4
4
28
20
12
8
23
15
1.260
953
8
5
18
16
34
26
7
3
40
29
11
7
17
13
41
31
21
16
199
164
300
215
15
9
37
26
14
8
8
7
18
13
12
7
14
9
13
12
18
15
219
146
5
5
77
52
62
45
3
3
6
5
13
12
2
2
14
10
5
4
295
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
Total
civilians
TEXAS— Continued
Haltom City
Hamlin
Marker Heights
Harlingen
Hawkins
Heame
Heath
Hedwig Village
Hemphill
Hempstead
Henderson
Hereford
Hewitt
Hico
Hidalgo
Highland Park
Highland Village
Hill Country
Hillsboro
Hitchcock
HoUand
Hollywood Park
Hondo
Hooks
Horseshoe Bay
Houston
Humble
Huntington
Huntsville
Hurst
Hutchins
Hutto
Idalou
Ingleside
Iowa Park
Irving
Jacinto City
Jacksboro
Jacksonville
Jamaica Beach
Jasper
Jefferson
Jersey Village
Joshua
Jourdanton
Katy
Kaufman
Keene
Keller
Kemah
Kemp
Kennedale
Kermit
Kerrville
Kilgore
KiUeen
Kingsville
Kirby
Kirbyville
Kountze
Kyle
Lacy-Lakeview
La Feria
Lago Vista
La Grange
La Joya
Lake Dallas
Lake Jackson
Lakeside
Lakeview
Lakeway Village
Lake Worth
La Marque
Lamesa
Lampasas
TEXAS— Continued
59
8
34
104
3
17
6
22
3
7
31
29
22
3
22
60
16
5
23
17
1
8
15
4
7
5,653
53
3
45
84
13
4
3
14
15
332
20
7
29
6
21
5
21
8
5
23
17
12
30
8
4
18
15
51
32
145
51
14
3
5
4
12
II
12
6
9
15
42
3
14
17
26
29
22
15
48
4
26
81
3
9
6
16
3
6
25
23
15
3
18
51
10
5
17
13
I
8
13
4
6
4,104
42
3
33
55
9
4
3
9
II
246
15
6
23
5
15
5
14
7
5
18
13
7
22
4
4
13
9
41
26
109
41
9
3
4
4
7
7
7
5
5
8
31
2
10
12
19
21
16
9
I
1,549
II
Lancaster
La Porte
Laredo
La Vemia
U Villa
League City
Leander
Leon Valley
Levelland
Lewisville
Lexington
Liberty
Lindale
Littlefield
Live Oak
Livingston
Llano
Lockhart
Lockney
Lone Star
Longview
Lorena
Los Fresnos
Lubbock
Lufkin
Luling
Lumberton
Madisonville
Malakoff
Manor
Mansfield
Manvel
Marble Falls
Marlin
Marshall
Mart
Martindale
Mathis
McAllen
McGregor
McKinney
Meadows
Memphis
Mercedes
Meridian
Merkel
Mesquite
Mexia
Midland
Midlothian
Mineola
Mineral Wells
Mission
Missouri City
Monahans
Mont Belvieu
Morgans Point Resort
Mount Pleasant
Muleshoe
Munday
Mustang Ridge
Nacogdoches
Naples
Nassau Bay
Navasota
Nederland
Needville
New Boston
New Braunfels
New Deal
Nocona
Nolanville
Northcrest
North Richland HiUs
Oak Ridge North ...
41
30
67
47
204
178
3
2
48
37
11
6
34
26
26
20
103
74
16
10
10
6
18
11
21
18
16
10
5
5
12
12
2
2
3
3
177
127
3
3
10
6
361
317
78
60
12
6
8
7
6
5
5
5
4
4
28
26
5
5
18
11
13
9
50
40
4
4
7
5
239
165
12
6
40
32
10
9
2
2
25
17
3
3
206
160
15
10
187
156
22
16
16
9
30
23
55
45
49
36
21
14
7
6
5
5
23
17
12
6
2
2
63
49
3
3
19
13
18
11
23
18
6
5
11
7
57
42
10
5
2
1
4
4
92
64
7
6
296
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
ofTicers
TEXAS— ContiiiiMd
TEXAS — Contioued
Odessa
Olmos Park
OIney
Olton
Onalaska
Orange
Orange Grove
Ore City
Overton
Oyster Creek
Palacios
Palestine
Palmer
Panhandle
Pantego
Paris
Parker
Pasadena
Pearland
Pearsall
Pecos
Perrylon
PflugerviUe
Pharr
Pilot Point ....
Pinehurst
Pittsburg
Plainview
Piano
Pleasanton
Port Aransas
Port Arthur ....
Port Isabel
Portland
Port Lavaca ...
Port Neches . . .
Poteet
Premont
Primera
Princeton
Quanah
Quinlan
Quitman
Ranger
Ramson Canyon
Raymondville . .
Red Oak
Refugio
Richardson
Richland Hills .
Richmond
Richwood
River Oaks
Robinson
Robstown
Rockdale
Rockport
Rockwall
RoUingwood
Roma
Roman Forest
Ropesville
Roscoe
Rosebud
Rose City
Rosenberg
Round Rock ...
Rowlett
Royse City
Rusk
Sabinal
Sachse
Saginaw
San Angelo
237
10
9
3
3
54
3
3
5
9
9
47
2
36
4
16
58
1
248
39
9
23
16
12
80
3
10
9
37
249
13
14
135
21
31
21
20
4
4
3
8
4
4
6
3
1
16
12
6
206
20
20
7
20
17
23
12
26
35
4
14
3
I
I
4
1
52
52
43
8
9
2
15
25
199
167
10
5
3
3
42
3
3
4
5
6
36
2
28
4
II
40
1
195
28
8
16
10
7
57
3
6
8
30
167
9
9
107
16
21
16
17
4
4
3
5
4
3
6
3
1
9
7
5
136
14
14
6
14
I I
17
7
19
24
4
8
2
I
I
4
1
39
42
31
7
8
2
9
18
159
70
San Antonio
San Augustine
San Benito
San Juan
San Marcos
Sansom Park Village
Santa Anna
Santa Fe
Schertz
Seabrook
Seadrift
Seagovilte
Seagraves
Sealy
Sequin
Selma
Seminole
Seven Points
Shallowater
Shamrock
Shavano Park
Shenandoah
Sherman
Silsbee
Sinton
Slaton
Smithville
Snyder
Somerset
Somerville
Sonora
Sour Lake
South Houston
Southlake
South Padre Island
Southside Place
Spearman
Springtown
Spring Valley
Spur
Stafford
Stamford
Stanton
Stephenville
Stinnett
Stratford
Sugar Land
Sulphur Springs
Sunset Valley
Surfside Beach
Sweeny
Sweetwater
Tan
Tahoka
Tatum
Taylor
Teague
Temple
Terrell
Terrell Hills
Texarkana
Texas City
The Colony
Tomball
Trinity
Troup
Tulia
Tye
Tyler
Universal City
University Park
Uvalde
Van
Vernon
Victoria
1,855
1,565
5
5
38
29
24
19
59
46
13
5
17
12
23
17
24
20
2
2
16
12
3
3
8
8
51
32
8
7
10
10
10
5
5
3
5
2
4
4
6
6
76
56
19
14
8
7
14
8
10
6
20
16
2
2
6
5
4
4
5
5
36
28
26
19
23
16
9
6
9
6
9
5
19
14
2
2
29
20
10
7
4
4
35
28
4
3
3
3
49
40
35
28
2
2
6
4
6
5
25
21
5
5
4
4
4
2
22
15
7
6
127
100
35
27
16
16
85
78
82
71
34
23
21
18
9
4
5
4
II
6
3
2
178
132
32
24
42
34
22
20
4
4
25
19
124
90
297
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued
City
Total
police
employees
Total
ofTicers
Total
civilians
City
Total
police
employees
Total
officers
Total
civilians
TEXAS— Coatinaed
UTAH— Condniwd
Vidor
Village
Village of Jones Creek
Waco
Wake Village
Waller
Wallis
Watauga
Waxahachie
Weatherford
Webster
Weslaco
West
West Columbia
West Lake Hills
West Orange
Westover Hills
West Tawakoni
West University Place
Westworth
Wharton
Whitehouse
White Oak
Whitesboro
White Settlement
Whitney
Wichita Falls
Wills Point
Wilmer
Windcrest
Winnsboro
Winters
Wolfforth
Woodville
Woodway
Wylie
Yoakum
Yorktown
UTAH
Alpine
American Fork
Beaver
Blanding
Bountiful
Brigham City
Cedar City . . . .
Centerville
Clearfield
Clinton
Draper
Ephraim
Farmington
Garland
Grantsville
Gunnison
Harrisville
Heber City . . . .
Hildale
Hurricane
Kamas
Kanab
Kaysville
Layton
Lehi
Logan
Mapleton
Midvale
Moab
Monticello
Moroni
Mount Pleasant
Murray
Naples
29
31
2
251
4
7
I
40
42
45
36
53
4
11
16
8
13
2
28
8
15
10
15
10
33
7
237
7
12
22
II
3
3
7
25
20
15
3
21
26
2
199
4
7
1
30
33
33
26
40
4
7
II
6
12
1
21
4
14
7
11
6
23
6
166
6
7
16
g
3
3
6
16
15
9
3
52
Nephi
North Ogden
North Salt Lake ...
Ogden
Orem
Park City
Parowan
Payson
Pleasant Grove
Pleasant View
Price
Provo
Richfield
Riverdale
Roosevelt
Roy
St. George
Salem
Salt Lake City
Sandy
Santaquin
South Jordan
South Ogden
South Salt Lake ...
Spanish Fork
Springville
Sunset
Syracuse
Tooele
Tremonton
Vernal
Washington Terrace
Wendover
West Bountiful ....
West Jordan
West Valley
Woods Cross
VERMONT
Barre
Barre Town
Bellows Falls ...
Bennington
Brandon
Brattleboro
Bristol
Burlington
Castleton
Chester
Colchester
Dover
Fair Haven
Hardwick
Hartford
Ludlow
Lyndonville
Manchester
Middlebury
Milton
Montpelier
Morristown
Newport
Northfield
Norwich
Randolph
Richmond
Rutland
St. Albans
St. Johnsbury ...
Shelbume
South Burlington
Springfield
Stowe
Swanton
6
5
12
10
g
7
122
106
79
58
26
16
2
2
12
11
13
12
4
4
16
14
88
67
10
8
17
15
9
8
29
22
43
34
3
3
409
344
73
64
3
3
8
7
24
19
44
33
15
14
18
14
9
8
5
4
23
19
8
6
17
13
12
10
5
4
5
4
63
59
115
99
7
6
21
7
13
31
9
39
3
123
2
3
25
6
2
6
26
9
2
13
12
12
22
7
14
2
5
4
3
46
22
16
13
33
21
12
4
298
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued
City
Total
police
employees
Total
ofTicers
Total
civilians
City
Total
police
employees
Total
officers
VERMONT— Continoed
Vergennes . . .
Vernon
Waterbury . .
Weathersfield
Wilmington
Windsor
Winhall
Winooski
Woodstock . .
VIRGINU
Abingdon
Alexandria
AltaVista
Amheret
Appalachia
Arlington
Ashland
Bedford
Berryville
Big Stone Gap
Blacksburg
Blackstone
Bluefield
Bowling Green
Bridgewater
Bristol
Brookneal
Buena Vista
Burkeville
Cape Charles ...
Cedar Bluff
Charlottesville . .
Chase City
Chatham
Chesapeake
Chilhowie
Chincoteague . . .
Christiansburg
QarksviUe
Qifton Forge ...
Clintwood
Coebum
Colonial Beach
Colonial Heights
Courtland
Covington
Crewe
Culpeper
Damascus
Danville
Dayton
Dublin
Dumfries
Edinburg
Elkton
Emporia
Exmore
Fairfax City
Falls Church . . . .
Farmville
Franklin
Fredericksburg . .
Fries
Front Royal
Galax
Gate City
Glade Springs ..
Glen Lyn
GordonsviUe
Gretna
Grottoes
Grundy
Halifax
17
350
14
4
7
393
19
26
7
19
63
14
15
1
5
52
3
16
3
4
2
123
II
3
309
6
12
34
8
13
2
g
12
47
1
21
5
30
3
115
3
8
II
3
9
26
3
76
41
22
25
78
1
33
26
3
3
1
5
3
3
4
4
15
254
10
4
6
315
17
19
6
13
47
10
II
I
5
40
3
12
3
4
2
103
7
3
255
6
9
27
5
10
2
7
8
37
1
15
5
22
3
101
2
7
11
3
5
20
3
60
31
15
17
62
1
26
21
3
3
I
5
3
2
4
4
54
VIRGINU— Continued
Hampton
Harrisonburg ..
Haysi
Hemdon
HiUsville
Honaker
Hopewell
Hurt
Independence
Jonesville
Kenbridge
Kilmarnock
La Crosse
Lawrenceville
Lebanon
Leesburg
Lexington
Louisa
Luray
Lynchburg
Manassas
Manassas Park
Marion
Martinsville
McKenney
Middleburg
Middletown
Mount Jackson
Narrows
New Market . . .
Newport News
Norfolk
Norton
Onancock
Onley
Orange
Parksley
Pearisburg
Pembroke
Pennington Gap
Petersburg
Pocahontas
Poquoson
Portsmouth
Pound
Pulaski
Purcellville
Quantico
Radford
Rich Creek ....
Richlands
Richmond
Roanoke
Rocky Mount
Rural Retreat ..
St. Paul
Salem
Sallville
Shenandoah
Smithfield
South Boston
South Hill
Stanley
Staunton
Stephens City
Strasburg
Suffolk
Tappahannock .
Tazewell
Urbanna
Victoria
Vienna
Vinton
Virginia Beach
Warrenton
277
203
57
44
42
34
5
5
3
3
55
44
3
3
2
2
3
3
4
4
4
4
5
5
7
7
35
32
19
15
2
2
12
10
159
141
81
64
23
15
21
17
54
49
3
3
3
3
5
5
3
3
332
267
768
677
17
13
4
4
11
10
3
3
6
6
8
4
148
100
2
2
20
15
272
207
4
4
37
26
6
6
6
6
33
23
21
15
713
646
283
242
11
11
5
5
75
56
6
6
4
4
16
9
19
15
21
16
3
3
59
45
2
2
14
9
118
93
5
5
12
10
4
4
48
37
24
18
826
622
24
19
299
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
VIRGINIA— Continued
WASHINGTON— Continued
Warsaw
Waverly
Waynesboro
Weber City .
Williamsburg
Winchester . .
Wise
Woodstock . .
Wytheville . .
WASHINGTON
Aberdeen
Algona
Anacortes
Arlington
Auburn
Battle Ground
BeUevue
Bellingham
Bingen
Black Diamond
Blaine
Bonney Lake
BotheU
Bremerton
Brewster
Brier
Buckley
Burlington
Camas
Carnation
Castle Rock
Centralia
Chehalis
Chelan
Chewelah
City of Normandy Park
Clarkston
Qe Elum
Clyde HiU
Colfax
College Place
Colville
Colville Tribal
Connell
Cosmopolis
Coulee Dam
Davenport
Dayton
Des Moines
East Wenatchee
EatonviUe
Edmonds
Ellensburg
Elma
Enumclaw
Ephrata
Everett
Femdale
Fife
Fircrest
Forks
Goldendale
Grand Coulee
Orandview
Hoquiam
Issaquab
Kalama
Kelso
Kennewick
Kent
Kettle Falls
Kirkland
Lacey
45
6
28
9
82
9
190
129
4
5
10
15
32
70
7
8
13
19
17
5
5
26
20
14
4
12
13
6
8
5
12
9
31
6
6
3
2
6
27
11
4
47
23
9
23
15
170
10
21
8
12
6
3
15
29
24
4
29
64
119
4
68
34
35
5
17
8
61
g
128
86
2
5
9
10
20
58
6
6
7
14
13
4
4
22
17
9
3
11
11
5
7
5
8
8
20
5
5
3
2
4
19
9
4
34
19
5
15
8
133
8
13
7
7
6
3
11
22
17
4
24
51
77
4
49
28
La Conner
Lake Stevens
Long Beach
Longview
Lummi Tribal
Lynden
Lynnwood
Marysville
McCleary
Medina
Mercer Island
Mill Creek
Milton
Monroe
Montesano
Morton
Moses Lake
Mossyrock
Mountlake Terrace
Mount Vernon
Mukilteo
Napavine
Newport
Oak Harbor
Ocean Shores
Olympia
Omak
Oroville
Othello
Pacific
Palouse
Pasco
Pe Ell
Pomeroy
Port Angeles
Port Orchard
Port Townsend ...
Poulsbo
Prosser
Pullman
Puyallup
Quincy
Raymond
Redmond
Renton
Republic
Richland
Ridgefield
Ritzville
Ruston
Seattle
Selah
Sequim
Shelton
Snohomish
Snoqualmie
South Bend
Spokane
Stanwood
Steilacoom
Sultan
Sumner
Sunnyside
Tacoma
Toledo
Tonasket
Toppenish
Tukwila
Tumwater
Union Gap
Vader
Vancouver
Walla Walla
Wapato
Washougal
5
4
5
5
6
6
59
47
15
13
8
7
52
43
30
19
5
5
7
6
40
30
14
13
10
9
16
13
8
6
4
3
31
22
32
27
39
29
10
8
2
2
3
3
36
24
12
7
77
59
11
9
8
4
13
9
8
6
48
38
3
3
41
27
12
11
10
9
14
II
12
8
30
21
53
43
8
6
6
4
66
51
99
72
2
2
48
42
2
2
3
3
1,819
1,264
10
8
12
7
29
16
17
15
7
6
4
3
332
247
7
6
10
9
3
2
18
12
26
19
379
340
2
2
4
4
19
13
66
55
21
18
15
II
92
77
52
35
22
16
7
6
300
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued
City
Total
police
employees
Total
ofPcers
Total
civilians
City
Total
police
employees
Total
ofTicers
Total
civilians
WASHINGTON— Condnucd
Wenatchee
44
134
3
2
5
12
55
2
4
14
5
33
16
8
4
3
6
4
173
12
3
5
38
3
3
2
18
16
36
4
6
1
1
5
5
7
2
3
2
1
7
98
9
14
2
13
2
5
8
8
2
5
7
4
4
2
4
38
3
2
3
1
1
2
1
32
7
8
4
3
2
5
100
3
3
2
4
11
39
2
4
5
4
28
14
7
4
3
3
4
151
10
3
5
31
3
3
2
13
10
28
3
6
1
1
5
5
6
1
3
2
1
6
93
6
13
2
8
1
4
7
7
2
5
5
3
4
1
4
30
2
2
3
1
1
2
1
12
4
2
WEST VIRGINIA— Continued
Montgomery
13
4
54
13
5
5
3
2
14
17
4
5
15
5
8
71
2
1
5
5
2
4
1
8
28
4
9
1 1
1
4
8
4
2
25
8
4
4
4
3
3
4
28
8
5
2
10
3
1
19
3
2
45
16
7
11
9
84
6
1
12
5
3
6
8
18
120
23
35
21
17
36
94
9
4
44
11
5
5
3
2
10
12
4
5
10
5
4
57
2
1
4
5
2
4
1
7
22
4
8
7
1
4
7
3
2
19
4
4
3
4
3
3
4
25
5
5
2
10
3
1
12
3
1
38
12
6
7
6
82
6
1
7
4
3
6
7
17
90
19
31
18
14
27
69
4
Westport
Moorefield
West Richland
10
White Salmon
Moundsville
2
Wilbur
Winlock
1
Woodland
New Cumberland
Yakima
34
1
ZiUah
New Martinsville
4
Nitro
5
WEST VIRGINU
North Fork
Nutter Fort
Alderson
Oak Hill ^
5
Anmoore
1
1
16
Oceana
Ansled
Barboursville
14
Parsons
Belington
Belle
9
1
5
2
1
3
.
Bethlehem
Bluefield
Pineviile
Bridgeport
Poca
Buckhannon
Point Pleasant
1
Cameron
6
Cedar Grove
Rainelle
Ranson
1
ChapmanviUe
Ravenswood
4
Charleston
22
2
Reedsville
Charles Town
Richwood
Ripley
Romney
Chesapeake
Chester
Clarksburg
7
Oendenin
St Albans
6
4
Danville
St Marys
Delbarton
Salem
Dunbar
5
6
8
1
Shepherdstown
J
Elkins
Fairmont
Sistersville
Fayetteville
Smithers
FoUansbee
Fort Gay
South Charleston
3
3
Glen Dale
Star City
Glenville
Stonewood
Grafton
1
1
Summersville
Grantsville
Sutton
Granville
Terra Alta
Harpers Ferry-Bolivar
7
Harrisville
War
1
5
3
1
Wayne
.
Huntington
Weirton
7
Hurricane
Welch
4
Wellsburg
Kermit
Weston
4
5
1
1
1
2
1
1
8
1
3
2
Kimball
Wheeling
Lewisburg
Whitesville
Logan
5
Mabscolt
Madison
WISCONSIN
Man
Marlinton
Algoma
Martinsburg
Antigo
1
Mason
30
4
4
3
3
9
25
Matewan
Ashland
Ashwaubenon
Baraboo
Mill Creek
Milton
Beaver Dam
Beloit
301
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Total
police
employees
Total
officers
WISCONSIN— Continued
WISCONSIN— Conrinued
Beloil Town
Berlin
Black River Falls
Bloomer
Brillion
Brodhead
BrookTield
Brown Deer
Burlington
Burlington Town
Butler
Caledonia
Cedarburg
Chenequa
Chilton
Chippewa Falls ..
Clintonville
Columbus
Combined Locks
Cornell
Crandon
Cuba City
Cudahy
Darlington
De Forest
Delafleld
Delavan
E>elavan Town
De Pere
Dodgeville
Durand
East Troy
Eau Claire
Edgerton
Eleva
Elkhom
Elm Grove
Elroy
Evansville
Fitchburg
Fond du Lac
Fort Atkinson ...
Fox Point
Franklin
Germantown
Glendale
Grafton
Green Bay
Greendale
Greenfield
Hales Comers ...
Hallie
Hartford
Hartland
Hayward
Holmen
Horicon
Hudson
Hurley
Janesville
Jefferson
Kaukauna
Kenosha
Kewaskum
Kewaunee
Kiel
Kimberly
La Crosse
Ladysmith
Lake Delton
Lake Geneva
Lake MiUs
Lancaster
Little Chute
Lodi
5
10
80
32
26
7
II
31
26
8
6
35
II
12
4
7
2
3
46
4
8
10
15
5
31
10
4
9
107
10
1
12
21
3
9
25
72
23
21
37
30
50
25
216
32
74
19
6
20
13
5
5
10
14
5
99
13
20
171
4
6
10
9
107
7
9
20
6
7
14
5
9
12
8
7
5
6
61
25
23
6
8
24
18
8
6
25
II
7
4
4
2
3
34
4
7
9
12
5
25
9
4
6
81
9
1
10
16
3
6
19
60
18
16
30
21
40
19
173
25
53
15
5
16
12
5
5
8
12
5
74
11
19
159
4
6
5
8
86
6
8
16
6
6
12
4
10
Madison
Manitowoc
Marinette
Marshfield
Mauston
Mayville
McFarland
Medford
Menasha
Menasha Town
Menomonee Falls
Menomonie
Mequon
Merrill
Middleton
Milton
Milwaukee
Minocqua
Mondovi
Monona
Monroe
Mosinee
Mount Pleasant ...
Mukwonago
Muskego
Neenah
Neillsville
New Berlin
New Glarus
New Holstein
New Lisbon
New London
New Richmond
North Fond du Lac
Oak Creek
Oconomowoc
Oconomowoc Town
Oconto
Oconto Falls
Onalaska
Oregon
Orfordville
Oshkosh
Palmyra
Park Falls
Peshtigo
Pewaukee
Phillips
Platteville
Pleasant Prairie
Plover
Plymouth
Portage
Port Washington ...
Prairie du Chien . . .
Prescott
Pulaski
Racine
Reedsburg
Rhinelander
Rice Lake
Richland Center
Ripon
River Falls
River Hills
Rome Town
Rothschild
St. Francis
Sauk Prairie
Saukville
Schofield
Shawano
Sheboygan
Sheboygan Falls
Shorewood
364
309
71
62
28
21
46
35
8
7
9
8
9
8
8
7
34
29
18
16
72
54
37
25
37
36
25
21
29
24
6
6
2,281
1.867
13
8
4
4
21
18
31
24
5
4
29
21
15
10
33
26
48
41
6
5
76
59
3
3
6
6
2
2
16
16
10
9
7
5
44
40
27
21
8
8
7
7
5
5
19
18
8
7
3
2
90
80
4
3
6
6
5
5
15
13
5
5
22
17
19
13
9
8
12
U
25
21
21
16
15
10
6
6
5
5
261
200
15
11
25
17
22
16
12
10
16
12
20
17
13
13
4
4
5
5
19
18
11
10
7
6
7
6
21
17
114
81
10
10
32
26
302
Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1990 — Continued
City
Total
police
employees
Total
officers
Total
civilians
City
Tolal
police
employees
Total
officers
Total
civilians
WISCONSIN— Continued
Shorewood Hills ..
Somerset
South Milwaukee .
Sparta
Spooner
Spring Green
Stanley
Stevens Point
Sloughton
Strum
Sturgeon Bay
Sturtevant
Summit
Sun Prairie
Superior
ThiensvUle
Tomah
Tomahawk
Town of East Troy
Town of Madison
Twin Lakes
Two Rivers
Verona
Viroqua
Washburn
Waterloo
Watertown
Waukesha
Waunakee
Waupaca
Waupun
Wausau
Wauwatosa
West Allis
West Bend
West Milwaukee ...
Weston
West Salem
Whitefish Bay
Whitewater
Williams Bay
Wisconsin Dells ...
Wisconsin Rapids
7
6
3
3
32
31
15
14
6
5
3
3
4
4
51
40
17
17
18
17
9
8
6
6
32
24
67
55
6
5
21
IS
7
6
8
7
17
15
10
6
29
24
10
9
11
8
4
4
6
6
38
31
126
92
7
6
15
II
17
14
64
53
107
80
152
130
51
41
26
20
18
14
4
4
28
23
31
21
6
5
14
10
50
39
WYOMING
Afton
Baggs
Basin
Buffalo
Casper
Cheyenne . . .
Cody
Cokeville
Diamondville
Douglas
Encampment
Evanston
Evansville ...
Gillette
Glenrock
Green River
GreybuU . . . .
Guernsey
Hanna
Jackson
Kemmerer
Lander
Laramie
Lovell
Lusk
Lyman
Mills
Moorcroft . . .
Newcastle . . .
Pine Bluffs .
Powell
Rawlins
Riverton
Rock Springs
Saratoga
Sheridan
Shoshoni
Sundance . . .
Thayne
Thermopolis
Torrington
Upton
Wheatland
Worland
5
1
2
12
88
92
16
I
3
21
2
29
10
50
8
31
4
4
5
20
10
20
51
9
3
12
8
4
II
5
18
29
31
56
9
38
1
4
I
15
19
4
10
12
1
5
72
16
72
20
14
2
13
8
24
5
4
35
15
3
27
4
3
16
4
3
14
6
40
11
5
4
2
1
4
3
11
7
19
10
21
10
32
24
5
23
15
6
13
6
9
1
12
The breakdown of employees was not available.
303
Table 73. — Number of Full-time Law Enforcement Employees, Universities and Colleges, October 31, 1990
University/College
Total
police
employees
Total
officers
Total
civilians
University/College
Total
police
employees
Total
officers
ALABAMA
Auburn University:
Main Campus
Montgomery
Jacksonville State University
Troy State University
University of Alabama:
Birmingham
Huntsville
Tuscaloosa
University of Montevallo
University of South Alabama
ARIZONA
Arizona State University
Arizona Western College
Northern Arizona University ..
Pima Community College
University of Arizona
Yavapai College
ARKANSAS
University of Arkansas:
Fayetteville
Little Rock
Medical Science
Pine Bluff
CALIFORNIA
Cabrillo College
California State Polytechnic University:
Pomona
San Luis Obispo
California State University:
Bakersfield
Chico
Dominguez Hills
Fresno
Fullerton
Hayward
Long Beach
Los Angeles
Northridge
Sacramento
San Bernardino
San Diego
San Jose
Stanislaus
College of the Sequoias
Contra Costa Community College
Foothill College
Fresno City College
Humboldt State University
Marin Community College
Merced College
Pasadena Community College
San Francisco State University
San Jose/Evergreen Community College
District
Santa Rosa Junior College
Sonoma State University
University of California:
Berkeley
Davis
Irvine
Lawrence Berkeley Laboratory
Lawrence Livermore Laboratory . . .
Los Angeles
Riverside
40
20
16
8
105
19
32
15
33
25
27
16
14
18
26
32
20
24
30
41
30
16
36
56
15
4
23
7
II
17
10
4
19
31
18
7
17
95
82
66
16
218
94
25
41
13
9
1
18
15
20
6
40
30
5
12
13
13
14
10
6
10
4
9
9
16
10
16
16
11
9
18
6
19
11
20
21
17
13
II
5
24
12
26
30
12
3
3
1
19
4
6
1
11
10
7
9
1
2
2
10
9
18
13
8
10
6
1
10
7
63
32
50
32
26
40
10
6
16
202
71
23
16
9
CALIFORNIA— Contiaued
San Diego
San Francisco Medical School
Santa Barbara
Santa Cruz
West Valley College
COLORADO
Adams State College
Arapahoe Community College ...
Auraria Higher Education Center
Colorado State University
Red Rocks Community College
University of Colorado:
Boulder
Colorado Springs
University of Northern Colorado
University of Southern Colorado
CONNECTICUT
Central Connecticut State University
Eastern Connecticut State University
Southern Connecticut State University
University of Connecticut:
Avery Point
Health Center
Storrs
Western Connecticut State University
Yale University
DELAWARE
University of Delaware
FLORIDA
Florida A&M University
Rorida Atlantic University
Florida International University
Rorida State University:
Panama City
Tallahassee
University of Central Florida
University of Florida
University of North Florida . . .
University of South Florida:
St. Petersburg
Sarasota
Tampa
University Of West Florida . . .
GEORGU
Abraham Baldwin College
Albany State College
Augusta College
Cherokee College
Clayton State College
Dalton College
Fort Valley State College
Georgia College
Georgia Institute of Technology
Georgia Southern University
Georgia Southwestern College
Georgia State University
Kennesaw College
Medical College of Georgia
North Georgia College
South Georgia College
Southern Technical Institute . . .
77
27
28
40
2
50
38
105
20
11
10
55
26
27
24
26
15
10
5
4
16
16
2
34
5
10
2
23
11
22
6
18
39
19
55
47
22
22
29
2
41
26
65
16
9
8
39
16
7
13
14
2
10
3
12
5
26
21
9
64
16
44
5
8
13
304
Table 73. — Number of Full-time Law Enforcement Employees, Universities and Colleges, October 31, 1990 — Continued
University/College
Total
police
employees
Total
officers
Total
civilians
University/College
Total
police
employees
Total
officers
Total
civilians
GEORGIA— Continued
University of Georgia
Valdosta State College
West Georgia College
ILLINOIS
Black Hawk College
Chicago State University
College of DuPage
College of Lake County
Eastern Illinois University
Governors State University
Illinois State University
John A. Logan College
Joliet Junior College
Morton College
Northeastern Illinois University
Northern Illinois University ...
Rock Valley College
Sangamon State University
Southern Illinois University;
Carbondale
Edwardsville
South Suburban College
State Community College
Triton College
University of Illinois:
Chicago
Urbana
Waubonsee College
Western Illinois University
William Rainey Harper College
INDLWVA
Ball State University
Indiana University:
Bloomington . . .
Gary
Indianapolis
New Albany
Purdue University ..
IOWA
Iowa Slate University
University of Iowa
University of Northern Iowa
KANSAS
Emporia State University
Fori Hays State University
Kansas State University, Manhattan
Pittsburg State University
University of Kansas:
Lawrence
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
31
19
12
19
II
8
12
11
1
23
14
9
113
43
70
43
23
20
27
20
7
LOUISLVNA
Louisiana State University:
Baton Rouge
Eunice
Louisiana Tech. University
McNeese State University
Nichols State University
Northeast Louisiana University ..
Southeastern Louisiana University
Southern University, Baton Rouge
MAINE
University of Maine, Orono .
University of Southern Maine
MARYLAND
Bowie State University
Coppin State University
Frostburg State University
Morgan State University .
Saint Mary's College
Salisbury State University
Towson State University
University of Baltimore
University of Maryland:
Baltimore City
Baltimore County
College Park
Eastern Shore
MASSACHUSETTS
Boston College
Boston University
Brandeis University
Emerson College
Framingham State College
Massachusetts Institute of Technology
North Adams State College
Northeastern University
University of Massachusetts:
Boston
Worcester
Wentworth Institute of Technology
MICHIGAN
Central Michigan University
Delta College
Eastern Michigan University
Ferris State University
Grand Valley State University ...
Hope College
Lansing Community College
Macomb Community College
Michigan State University
Michigan Technological University
Northern Michigan University
Oakland Community College
Oakland University
Saginaw Valley State University .
University Of Michigan. Flint
Western Michigan University
MINNESOTA
University of Minnesota
17
14
18
31
12
18
38
25
102
28
82
17
44
25
6
8
4
17
1
28
10
U
14
54
48
21
7
74
8
12
5
45
5
50
3
21
3
15
14
56
15
9
3
45
30
22
1
21
7
9
2
16
12
8
3
20
2
13
6
8
1
6
2
9
3
22
10
46
10
9
10
14
4
16
5
15
4
6
3
3
27
10
39
5
305
Table 73. — Number of Full-time Law Enforcement Employees, Universities and Colleges, October 31, 1990 — Continued
University/CoUege
Total
police
employees
Total
officers
Total
civilians
University/CoUege
Total
police
employees
Total
ofilcers
MISSISSIPPI
Mississippi State University
University of Mississippi
MISSOURI
Central Missouri State University ...
University of Missouri:
Columbia
St. Louis
Washington University
NEBRASKA
Kearney State College
University of Nebraska, Lincoln
NEVADA
University of Nevada:
Las Vegas
Reno
NEW HAMPSHIRE
University of New Hampshire
NEW JERSEY
Brookdale Community College
Burlington County College
Essex County College
Glassboro State College
Kean College
Middlesex County College
Monmouth College
Montclair State College
New Jersey Institute of Technology . .
Rutgers University:
Camden
Newark
New Brunswick
Stockton State College
Trenton State College
University of Medicine and Dentistry:
Camden
Newark
Piscataway
William Paterson College
NEW MEXICO
Eastern New Mexico University
New Mexico State University
University of New Mexico
Western New Mexico University
NEW YORK
Cornell University
Ithaca College
Rensselaer Polytechnic Institute
State University of New York:
Albany
Amherst
Binghamton
Health Science Center, Brooklyn
Maritime College
Plaza
Stony Brook
Upstate Medical Center
38
18
17
44
27
32
14
18
24
67
37
56
125
20
23
18
121
40
41
54
29
22
45
67
28
115
13
12
98
44
15
23
NEW YORK— Continued
State University of Nev» York Agricultural and
Technical College:
Alfred
Canton
CobleskiU
Delhi
Farmingdale
MorrisviUe
State 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 CAROUNA
Appalachian State University
Davidson College
East Carolina University
North Carolina State University, Raleigh
Queens College
University of North Carolina:
Asheville
Chapel HiU
Charlotte
Greensboro
Wilmington
Western Carolina University
NORTH DAKOTA
University of North Dakota
OHIO
Baldwin- Wallace College
Bowling Green State University
Cleveland State University
Cuyahoga Community College
Kent State University
Lakeland Community College
Miami University
Ohio State University
Ohio University
University of Akron
University of Cincinnati
University of Toledo
Wright State University
Youngstown State University ..
OKLAHOMA
Central Slate University
Northeastern Oklahoma State University
Oklahoma State University
Tulsa Junior College
University of Oklahoma:
Health Science Center
Norman
14
13
II
9
10
22
10
19
27
16
II
15
17
19
15
20
4
21
15
11
15
11
18
8
30
36
4
5
29
24
21
16
14
10
19
33
29
30
5
35
56
26
27
53
25
19
21
II
10
29
6
17
26
306
Table 73. — Number of Full-time Law Enforcement Employees, Universities and Colleges, October 31, 1990 — Continued
University/CoUege
Total
police
employees
Total
officers
Total
civilians
University/CoUege
Total
police
employees
Total
officers
Total
civilians
PENNSYLVANU
Beaver County Community College
Bloomsburg University
California University
Cheyney University
Clarion University
East Siroudsburg University
Edinboro University
Elizabethtovm College
Indiana University
Kutztown University
Lehigh University
Lincoln University
Lock Haven University
Mansfield University
Millersville University
Moravian College
Pennsylvania State University:
Altoona Campus
Behrend College
Capital Campus
McKeesport
University Park
Shippensbuig University
Slippery Rock University
University of Pittsburgh, Bradford ,
West Chester University
RHODE ISLAND
University of Rhode Island
SOUTH CAROLINA
Clemson University
Francis Marion College
Lander College
Medical University of South Carolina
University of South Carolina:
Coastal Carolina
Columbia
Winthrop College
SOUTH DAKOTA
South Dakota State University . . .
TENNESSEE
Austin Peay State University
East Tennessee State University
Middle Tennessee State University
University of Tennessee:
Knoxville
Martin
Memphis
TEXAS
Alvin Community College
Amarillo College
Angelo State University
Austin
Baylor University
College of the Mainland
Corpus Christi State University
Eastfield College
East Texas State University ...
Hardin-Simmons University ...
Lamar University
Laredo Junior College
McLennan Community College
25
42
9
9
134
13
131
22
12
2
7
15
1
13
5
8
4
10
5
13
2
14
1
9
4
20
7
13
6
15
10
4
17
7
1 1
13
4
8
4
5
1
7
1
5
1
3
47
11
14
1
14
1
5
1
17
13
20
13
1
1
5
4
11
1
3
TEXAS— Continued
Midwestern State University
North Harris County College
North Lake College
Prairie View A & M University
Rice University
Richland College
Southern Methodist University
South Plains College
Southwestern University
Southwestern Texas State University
Stephen F. Austin State University
Sul Ross State University
Tarleton State University ...'.
Texas A & M University:
College Station
Galveston
Texas Arts & Industries University
Texas Christian University
Texas College Osteo. Med
Texas Southern University
Texas State Technical Institute:
Amarillo
Waco
Texas Tech. University:
Health Science Center
Lubbock
Texas Woman's University
Tyler Junior College
University of Houston:
Central Campus
Clearlake
Downtown Campus
University of North Texas
University of Texas:
Arlington
Austin
Dallas
El Paso
Galveston
Health Science Center, San Antonio
Health Science Center, Tyler
Houston
Pan American
Permian Basin
San Antonio
Southwest Medical School
Tyler
West Texas Slate University
UTAH
Brigham Young University
Salt Lake Community College ..
Southern Utah State College ...
University of Utah
Utah Slate University
Utah Valley Community College
Weber Slate University
VERMONT
University of Vermont
VIRGINU
Christopher Newport College
College of William & Mary
George Mason University ..
James Madison University
Longwood College
Mary Washington College ..
55
18
23
38
54
167
29
46
72
49
10
166
15
11
33
46
9
9
36
7
3
8
13
15
9
17
4
5
19
17
6
10
42
6
11
17
11
15
9
II
10
29
15
7
34
II
13
22
22
58
8
15
23
17
3
46
11
I
14
16
2
7
22
3
2
32
10
3
9
21
10
16
31
18
11
10
307
Table 73. — Number of Full-time Law Enforcement Employees, Universities and Colleges, October 31, 1990 — Continued
University/College
Total
police
employees
Total
officers
Total
civilians
University/College
Total
police
employees
Total
officers
Total
civilians
VIRGINIA— CodtiBiied
Norfolk State University
Old Dominion University
Radford University
Thomas Nelson Community College
University of Richmond
University of Virginia
Virginia Commonwealth University ...
Virginia Polytechnic Institute and State
University
Virginia State University
Virginia Western Community College
WASHINGTON
Central Washington University
Eastern Washington University
University of Washington
Washington State University
WEST VIRGINU
Concord College
GlenviUe State College
WEST VIRGINIA— Continued
Marshall University
West Liberty State College
West Virginia State College
West Virginia Tech
West Virginia University
WISCONSIN
University of Wisconsin:
Eau Claire
Green Bay
La Crosse
Madison
Milwaukee
Oshkosh
Parkside
Platteville
Whitewater
WYOMING
University of Wyoming
25
22
1
5
9
2
1
10
7
2
37
55
30
3
11
1
9
4
7
7
4
13
12
308
T«ble 74.— Number of FuU-time Law Enforcemem Employees, Suburban Counties, October 31, 1990
County by Sute
Total
police
employees
ALABAMA
Autauga . . .
Baldwin ...
Blount
Calhoun . . ,
Colbert
Dale
Elmore
Etowah
Houston
Jefferson . . .
Lauderdale .
Lawrence . .
Madison ...
Mobile
Montgomery
Morgan
Russell
Shelby
St Clair ....
Tuscaloosa .
Walker
ARIZONA
Maricopa
Pima
ARKANSAS
Crawford
Crittenden
Faulkner
Jefferson
Lonoke
Miller
Pulaski ....
Saline
Sebastian
Washington
CALIFORNU
Alameda
Butte
Contra Costa
El Dorado ....
Fresno
Keni
Los Angeles
Marin
Merced
Monterey
Napa
Orange
Placer
Riverside
Sacramento ...
San Bernardino
San Diego
San Joaquin ...
San Mateo
Santa Clara
Santa Barbara
Santa Crviz
Shasta
Solano
Sonoma
Stanislaiu
Sutter
Tulare
Ventura
Yolo
Yuba
Total
officers
21
95
23
45
31
21
24
60
99
558
37
25
115
263
178
60
54
72
23
96
39
1,690
875
1.319
146
939
240
760
976
6,653
249
88
374
91
2,050
283
1,815
1,544
1,610
2,231
597
495
529
287
245
236
362
274
333
109
443
917
215
61
21
43
16
23
19
II
13
39
36
443
23
15
90
131
152
35
19
51
16
64
35
429
338
29
12
52
22
26
12
47
30
20
10
36
19
256
107
28
20
55
24
65
28
812
108
627
137
301
644
5,053
168
69
284
69
1,178
184
1,030
1,128
1,116
1,417
429
333
426
197
126
157
93
197
135
85
363
588
83
44
Total
civilians
52
7
22
12
10
II
21
63
115
14
10
25
132
26
25
35
21
7
32
4
1,261
537
17
30
14
17
10
17
149
507
38
312
103
459
332
1,600
81
19
90
22
872
99
785
416
494
814
168
162
103
90
119
79
269
77
198
24
80
329
132
17
County by State
Total
police
employees
COLORADO
Adams
Arapahoe
Boulder
Douglas
El Paso .
Jefferson
Larimer
Pueblo . .
Weld . . . .
DELAWARE
New Castle Police
Department
FLORIDA
Alachua . . . .
Bay
Bradford . . .
Brevard
Broward
Clay
Collier
Dade
Escambia
Gadsden . . .
Hernando
Hillsborough
Lee
Leon
Manatee . . .
Marion
Martin
Nassau
Okaloosa . . .
Orange
Osceola
Palm Beach
Pasco
Pinellas
Polk
Santa Rosa
Sarasota
Seminole
St. Johns
St. Lucie
Volusia
GEORGIA
Barrow
Bibb
Butts
Chatham
Chatham Police
Department
Chattahoochee
Clarke
Clarke Police
Department
Clayton
Clayton Police
Department
Cobb
Cobb Police
Department
Columbia
Dade
De Kalb
De Kalb County Police
Department
Dougherty
Dougherty Police
Department
356
456
211
97
152
497
188
198
159
272
312
162
36
623
2,865
221
640
3,589
424
79
177
2,203
673
385
591
505
395
98
138
1,180
335
1,911
674
1,654
895
185
608
486
274
405
410
52
190
21
268
147
3
107
113
195
207
342
392
95
34
370
806
81
Total
officers
Total
civilians
230
315
153
72
108
360
133
174
91
247
198
114
12
273
934
127
332
2,527
268
26
118
845
315
200
261
175
179
42
107
799
158
860
288
680
349
88
282
187
123
142
259
49
165
16
213
118
2
93
126
141
58
25
44
137
55
24
68
25
County by State
Total
police
employees
GEORGIA— Continued
114
48
24
350
1,931
94
308
1,062
156
53
59
1,358
358
185
330
330
216
56
31
381
177
1,051
386
974
546
97
326
299
151
263
151
Douglas
Effingham
Fayette
Forsyth
Fulton
Fulton Police
Department
Gwinnett
Gwinnett Police
Department
Henry
Houston
Jackson
Jones
Ue
Madison
McDuffie
Muscogee
Newton
Oconee
Paulding
Peach
Rockdale
Spalding
Walker
Walton
Total
officers
IDAHO
Ada
ILLINOIS
84
29
165
30
189
18
269
73
333
59
88
7
15
19
292
78
631
175
78
3
51
Boone
Champaign
Clinton
Cook
Du Page
Grundy ...
Henry
Jersey
Kane
Kankakee
Kendall . . .
Lake
Macon
Madison
McHenry
McLean ...
Menard ...
Monroe
Peoria
Rock Island
Sangamon
St. Clair ...
Tazewell . . .
Will
Winnebago .
Woodford . .
INDLVNA
Allen
Clark Police
Department
De Kalb
Elkhan
Hamilton
Hancock
Harrison
Howard
Lake
Marion
Monroe
Porter
164
34
99
78
641
236
219
386
124
103
39
29
25
20
13
176
59
33
95
39
103
98
72
85
226
Total
civilians
164
93
44
367
137
77
156
62
II
18
164
48
179
55
50
474
214
23
197
29
39
137
74
52
23
64
262
750
67
98 I
76
22
65
63
572
191
200
299
112
61
21
17
16
13
12
152
34
19
79
22
97
84
61
67
130
21
19
55
49
20
16
584
497
221
172
39
32
37
36
118
49
26
183
47
66
124
45
7
8
58
48
126
55
31
332
110
14
88
12
34
15
69
45
19
87
12
42
18
12
9
7
I
24
25
14
16
17
6
14
II
18
96
2
6
4
87
49
7
I
46
44
18
184
90
II
32
17
4
10
106
53
19
142
104
9
120
77
26
3
13
26
60
77
43
31
24
28
9
14
33
31
175
87
430
320
67
44
54
309
Table 74. — Number of Full-time Law Enforcement Employees, Suburban Counties, October 31, 1990 — 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
INDIANA— Continued
St. Joseph
Tippecanoe
Tipton
Vanderburgh
IOWA
Black Hawk
Bremer
Dallas
E>ubuque
Johnson
Linn
Polk
Pottawattamie
Scott
Warren
Woodbury
KANSAS
Douglas
Harvey
Johnson
Leavenworth
Miami
Sedgwick
Shawnee
Wyandotte
KENTUCKY
Boone
Boone Police
Department
Bourbon
Boyd
Bullitt
Campbell
Campbell Police
Department
Carter
Christian
Christian Police
Department
Clark
Daviess
Greenup
Henderson
Jefferson Police
Department
Jessamine
Kenton Police
Department
Oldham Police
Department
Oldham
Scott
Shelby
Woodford
Woodford Police
Department
LOUISIANA
Ascension
Bossier
Caddo
Calcasieu
East Baton Rouge
Jefferson
Lafourche
Quachita
Rapides
St. Charles
170
129
93
35
15
6
139
101
82
14
30
45
64
121
172
60
104
27
87
61
18
288
43
22
301
117
167
19
47
7
15
II
10
27
6
16
4
12
29
II
13
535
31
139
95
429
357
607
1,127
162
220
223
187
54
10
II
38
43
86
136
35
38
18
29
30
18
230
34
21
137
96
128
17
44
7
15
II
10
19
5
16
3
10
28
II
13
405
28
13
10
16
7
5
137
93
428
357
607
739
162
220
178
118
28
4
19
7
21
35
36
25
66
9
58
58
9
I
164
21
39
130
388
45
69
LOUISUNA—
Continued
St. John The Baptist
St. Martin
St Tammany
Terrebonne
MAINE
Androscoggin
Cumberland
MARYLAND
Allegany
Allegany Investigator
Anne Arundel
Anne Arundel Police
Department
Baltimore
Baltimore Police
Department
Baltimore City
Sheriff
Calvert
Carroll
Cecil
Charles
Frederick
Harford
Howard
Howard Police
Department
Montgomery
Montgomery Police
Department
Prince Georges
Prince Georges Police
Department
Queen Annes
Washington
MICHIGAN
Bay
Berrien
Calhoun
Clinton
Eaton
Genesee
Ingham
Jackson
Kalamazoo
Kent
Lapeer
Livingston
Macomb
Midland
Monroe
Muskegon
Oakland
Ottawa
Saginaw
St. Clair
Washtenaw
Wayne
MINNESOTA
Anoka
Benton
Carver
Chisago
Clay
Dakota
Hennepin
142
101
252
204
39
13
31
737
57
1,748
138
51
29
34
180
81
252
38
373
112
1,086
258
1,596
23
128
38
166
57
35
114
208
127
77
163
157
58
85
327
41
151
39
648
78
128
75
139
1,229
147
18
64
35
35
128
512
142
101
168
204
18
1
30
561
53
1,555
125
46
26
30
132
70
252
23
296
99
837
183
1,243
21
52
30
135
44
23
69
80
105
56
127
126
44
59
165
33
90
33
535
69
88
55
101
1,004
69
II
38
22
15
63
264
84
21
12
I
176
4
193
13
5
3
4
48
11
15
77
13
249
75
353
2
76
31
13
12
45
128
22
21
36
31
14
26
162
8
61
6
113
9
40
20
38
225
78
7
26
13
20
65
248
MINNESOTA-
Conlinued
Isanti
Olmsted . . .
Ramsey . . .
Saint Louis
Scott
Sherburne .
Steams
Washington
Wnght .. . .
MISSISSIPPI
Harrison
Hinds
Madison
Rankin
MISSOURI
Boone
Buchanan
Cass
Christian
Clay
Franklin
Green
Jackson
Jasper
Jefferson
Lafayette
Platte
Ray
St. Charles
St. Louis Police
Department
MONTANA
Cascade ...
Yellowstone
NEBRASKA
Dakota
Douglas . . .
Lancaster
Sarpy
Washington
NEVADA
Washoe
NEW JERSEY
Atlantic
Atlantic Prosecutor ...
Bergen
Bergen Police
Department
Bergen Prosecutor
Burlington
Burlington Prosecutor
Camden
Camden Prosecutor
Cape May
Cape May Prosecutor
Cumberland
Cumberland Prosecutor
Essex
Essex Police
Department
Essex Prosecutor
Gloucester
30
67
282
154
90
45
98
106
77
182
123
28
41
81
60
36
16
100
76
109
118
70
165
22
49
18
202
646
25
157
75
133
20
516
136
150
438
112
251
60
III
568
149
123
35
177
46
457
146
411
185
14
57
235
93
29
19
42
68
59
182
123
28
22
70
58
13
15
73
69
100
89
67
144
17
43
9
121
454
31
41
110
56
91
10
345
106
63
367
94
110
47
42
428
89
106
14
161
16
398
140
286
150
310
Table 74.— Number of Full-time Law Enforcement Employees, Suburban Counties, October 31, 1990— Continued
County by State
NEW JERSEY—
Continued
Gloucester Prosecutor
Hudson
Hudson Police
Hudson Prosecutor . .
Hunterdon
Hunterdon Proescutor
Mercer
Mercer Prosecutor . . .
Middlesex
Middlesex Prosecutor
Monmouth
Monmouth Prosecutor
Morris
Morris Prosecutor
Ocean
Ocean Prosecutor
Passaic
Passaic Prosecutor ...
Salem
Salem Prosecutor
Somerset
Somerset Prosecutor
Sussex
Sussex Prosecutor
Union
Union Prosecutor
Warren
Warren Prosecutor . . .
NEW MEXICO
Dona Ana
NEW YORK
Albany
Broome
Chautauqua
Chemung . . .
Dutchess
Erie
Greene
Herkimer . . .
Livingston . .
Madison
Monroe
Montgomery
Nassau
Niagara
Oneida
Onondaga . . .
Ontario
Orleans
Oswego
Putnam
Rensselaer . .
Rockland . . , ,
Saratoga
Schenectady
Suffolk
Suffolk Police
Department
Tioga
Warren
Washington
Wayne
Westchester
NORTH CAROLINA
Total
police
employees
Alamance
Alexander
Buncombe
Burke . . . .
78
164
112
207
31
41
106
114
225
224
266
224
289
126
145
121
485
176
95
32
133
106
25
41
161
205
18
47
78
Total
officers
114
55
97
48
114
575
19
30
63
21
332
27
3,624
209
108
398
73
37
68
75
122
64
72
19
260
2,965
51
82
32
72
323
102
25
167
61
Total
civilians
44
135
90
101
23
22
86
75
172
131
240
97
205
84
92
78
400
126
79
16
106
69
22
26
137
34
29
22
106
8
19
20
39
53
93
26
127
84
42
53
43
85
50
16
16
27
37
3
15
24
111
15
94
3
27
20
68
10
86
28
45
10
74
23
37
11
91
23
442
133
19
25
5
51
12
16
5
282
50
23
4
3,030
594
185
24
102
6
313
85
53
20
28
9
57
11
62
13
115
7
57
7
64
8
7
12
164
96
2,574
391
36
15
64
18
22
10
55
17
273
50
67
35
15
10
125
42
41
20
County by State
NORTH CAROUNA-
Continued
Cabarrus
Catawba
Cumberland
Davidson
Davie
Durham
Forsyth
Franklin
Gaston
Guilford
Lincoln
Mecklenburg
New Hanover
Onslow
Orange
Randolph
Rowan
Stokes
Union
Wake
Yadkin
Total
police
employees
NORTH DAKOTA
Burleigh
Cass
Grand Forks
Morion
OHIO
Allen
Auglaize . .
Belmont
Butler
Clark
Clermont
Cuyahoga
Delaware . . .
Fairfield
Franklin . . .
Fulton
Geauga
Greene
Hamilton
Jefferson . . .
Lake
Lawrence
Licking
Lorain
Lucas
Madison ...
Mahoning
Miami
Montgomery
Pickaway
Portage
Richland ...
Stark
Trumbull
Union
Warren
Washington
Wood
OKLAHOMA
Canadian
Cleveland
Comanche
Creek
Garfield
Logan
McClain .
101
97
309
108
27
241
229
31
122
325
47
226
174
105
73
80
95
41
76
334
30
125
25
34
107
126
134
857
74
73
590
28
65
84
793
39
134
30
124
157
337
25
94
71
274
46
66
81
160
62
34
66
63
89
Total
officers
94
89
251
72
24
102
195
16
92
191
41
157
134
67
64
69
79
28
64
192
23
55
18
29
89
109
64
150
38
51
471
19
30
74
596
23
34
22
93
54
240
19
64
38
183
36
39
41
89
26
21
53
21
84
16
23
27
13
16
6
6
Total
civilians
58
36
3
139
34
15
30
134
6
69
40
38
9
11
16
13
12
142
7
70
7
5
18
17
70
707
36
22
119
9
35
10
197
16
100
8
31
103
97
6
30
33
91
10
27
40
71
36
13
13
42
5
County by State
OKLAHOMA—
Continued
Oklahoma
Osage
Pottawatomie
Rogers
Sequoyah . . .
Tulsa
Wagoner
OREGON
Clackamas
Jackson . . .
Lane
Marion
Multnomah
Polk
Washington
Yamhill . . .
PENNSYLVANIA
Allegheny
Allegheny Police
Department
Chester Detective ...
Cumberland
Montgomery Detective
Washington
Westmoreland Detective
SOUTH CAROUNA
Aiken
Anderson
Berkeley
Charleston Police
Department
Dorchester
Florence
Greenville
Lexington
Pickens
Richland
Spartanburg
York
Total
police
employees
SOUTH DAKOTA
Minnehaha
Pennington
TENNESSEE
Carter
Grainger . . .
Hamilton
Hawkins . . .
JelTerson . . .
Knox
Madison ...
Marion
Montgomery
Robertson . .
Rutherford
Sevier
Shelby
Sullivan
Sumner
Unicoi
Union
Total
officers
172
106
66
22
18
4
20
8
12
21
13
8
12
6
6
230
161
69
15
15
117
86
57
43
112
76
103
79
215
134
23
18
170
143
37
31
TEXAS
Bell
73
105
44
16
246
40
30
441
59
16
106
50
97
60
1.302
181
91
27
14
198
Total
civilians
136
114
284
230
18
15
15
15
39
23
26
21
II
11
103
80
103
84
78
53
234
168
64
52
74
58
309
258
196
135
77
54
296
258
193
172
109
76
33
9
217
38
15
165
51
9
100
40
51
47
461
178
41
17
641
31
14
36
24
81
5
27
6
22
54
3
16
5
23
19
25
66
12
16
51
61
23
38
21
33
14
71
II
7
29
2
15
276
8
7
6
10
46
13
841
3
50
10
6
134
311
Trtle 74.-N»mber of FuU-time Law Enforcement Employees. Sub«rlH»n Counties October 31, 1990-CoDtinued
County by State
Total
police
employees
TEXAS— Contiiiiwd
Bexar
Bowie
Brazoria
Brazos
Cameron
CoUin
Comal
Coryell
Dallas
Denton
Ector
Ellis
El Paso
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
Tanant . . . .
Taylor
Tom Green
Travis
Victoria . . . .
Waller ....
Webb
WichiU ...
Williamson
Total
officers
1,130
40
184
81
180
198
97
22
1,356
184
109
107
538
189
232
66
93
93
30
2,100
51
169
289
226
112
45
64
255
155
158
310
255
83
56
152
62
30
53
158
902
100
66
798
68
34
294
103
121
Total
civilians
509
35
84
42
48
79
36
10
428
74
81
34
175
146
90
48
54
22
14
1,718
36
62
122
70
26
20
35
92
44
76
228
89
46
26
99
48
13
29
85
117
67
39
138
49
9
145
31
52
County by Sute
Total
police
employees
UTAH
621
5
100
39
132
119
61
12
928
110
28
73
363
43
142
18
39
71
16
382
15
107
167
156
86
25
29
163
111
82
82
166
37
30
53
14
17
24
73
785
33
27
660
19
25
149
72
69
Davis . . .
Salt Lake
Utah . . . .
Weber ...
VIRGINIA
Albemarle Police
Department
Amherst
Botetourt
Campbell
Charles City
Chesterfield Police
Department
Dinwiddle
Fairfax Police
Department
Fluvanna
Gloucester
Goochland
Greene
Hanover
Henrico Police
Department
James City Police
Department
Loudoun
New Kent
Pittsylvania
Powhatan
Prince George
Prince William Police
Department
Roanoke Police
Department
Scott
Stafford
Washington
York
WASHINGTON
Benton
Clark ...
Franklin
King . .
Kitsap
Total
officers
122
615
117
84
81
35
43
56
12
392
45
1,234
13
50
17
14
103
507
50
198
17
75
16
47
404
105
34
80
54
63
46
151
19
767
90
Total
civilians
93
476
79
42
67
32
37
50
6
301
38
958
9
43
13
9
95
347
47
161
11
62
12
39
296
77
34
65
47
56
37
128
17
571
74
County by State
Total
police
employees
29
139
38
42
14
3
6
6
6
91
7
276
4
7
4
5
160
3
37
6
13
4
108
WASHINGTON-
Continucd
Pierce ....
Snohomish
Spokane
Thurston .
Whatcom
Yakima
WEST VIRGINU
Brooke
CabeU ...
Hancock
Kanawha
Marshall
Mineral
Ohio . . .
Putnam
Wayne
Wood ..
28
WISCONSIN
9
23
2
196
16
Brown
Calumet . . .
Chippewa
Dane
Douglas . . . .
Eau Claire .
Kenosha . . .
La Crosse .
Marathon .
Milwaukee
Outagamie
Ozaukee . .
Racine ....
Rock
St. Croix ..
Sheboygan
Washington
Waukesha .
Winnebago
WYOMING
Total
officers
Total
civilians
Laramie
Natrona
263
218
209
102
60
96
23
75
29
68
31
9
28
19
22
60
182
31
35
256
30
64
150
52
110
557
93
69
221
166
40
116
92
254
130
116
86
227
149
170
66
46
68
13
27
19
55
18
5
18
18
11
29
122
23
35
219
25
50
92
45
63
430
93
45
177
90
40
72
74
141
90
36
69
39
36
14
28
10
48
10
13
13
4
10
1
11
31
60
37
5
14
58
7
47
127
24
44
76
44
18
113
40
41
15
312
Table 75. — Number of Full-time Law Enforcement Employees, Rural Counties, October 31, 1990
County by Stace
Total
police
employees
Total
ofTicers
Total
civilians
County by State
Total
police
employees
Total
officers
Total
civilians
County by State
Total
police
employees
Total
officers
ALABAMA
Barbour
Bibb
Bullock
Butler
Chambers
Cherokee
Chilton
Choctaw
Qarke
Oay
Cleburne
Coffee
Conecuh
Coosa
Covington
Crenshaw
Cullman
Dallas
De Kalb
Escambia
Fayette
Franklin
Geneva
Greene
Hale
Henry
Jackson
Lamar
Lee
Limestone
Lowndes
Macon
Marengo
Marion
Marshall
Monroe
Perry
Pickens
Pike
Randolph
Sumter
Talladega
Tallapoosa
Washington
Wilcox
Winston
ARIZONA
Apache
Cochise
Coconino
Gila
Graham
Greenlee
Mohave
Navajo
Pinal
Santa Cruz
Yavapai
ARKANSAS
Arkansas
Ashley
Baxter
Benton
Boone
Bradley
Calhoun
Carroll
Chicot
Clark
Qay
Qebume
16
6
10
12
34
15
13
14
14
11
8
22
13
10
18
12
54
41
22
27
12
21
15
14
9
13
34
15
61
33
16
19
13
17
38
25
10
12
14
14
17
43
26
II
13
14
31
141
107
106
26
21
86
65
233
45
156
10
5
4
6
14
8
10
4
9
5
5
8
7
6
9
5
47
37
15
17
7
10
6
5
6
13
21
6
28
20
4
9
5
7
23
12
4
5
7
7
5
17
16
6
6
18
62
77
50
II
12
65
38
121
27
65
8
17
23
10
4
4
9
5
9
5
11
13
79
30
56
15
9
21
27
112
18
91
ARKANSAS— Continue<l
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 . . .
St. Francis ..
Scott
Searcy
Sevier
Sharp
Stone
Union
Van Buren ...
White
Woodruff . . . ,
Yell
CALIFORNIA
Alpine
Amador . .
Calaveras
Colusa
Del Norte
Glenn
Humboldt .
Imperial
Inyo
Kings
Lake
Lassen
Madera
Mariposa
Mendocino
Modoc
Mono
Nevada
Plumas
18
14
38
22
8
II
6
II
7
65
9
17
14
15
12
44
12
16
II
9
12
10
9
9
8
13
10
43
12
10
9
6
18
9
30
9
16
14
37
II
8
25
II
8
13
15
12
32
II
34
8
15
12
41
65
32
32
37
no
103
51
90
80
50
75
48
84
9
27
95
61
8
8
6
5
4
7
5
6
3
2
6
5
19
24
7
5
5
3
11
7
4
23
4
7
9
17
20
6
1
10
15
7
4
6
8
5
18
14
3
14
20
4
8
7
9
3
38
3
35
30
24
8
25
7
26
11
86
24
66
37
39
12
70
20
57
23
27
23
56
19
42
6
66
18
9
25
2
63
32
36
25
CALIFORNU-
Continued
San Benito
San Luis Obispo
Sierra
Siskiyou
Tehama
Trinity
Tuolumne
COLORADO
Alamosa
Archuleta
Baca
Bent
Chaffee . . .
Cheyenne
Conejos . . .
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
Montezuma
Montrose .
Morgan ...
Otero
Ouray
Park
Phillips ...
Pitkin
Prowers
Rio Blanco
Rio Grande
Routt
Saguache . .
San Juan
San Miguel
Sedgwick . . .
Summit
Teller
Washington
Yuma
FLORIDA
Baker ...
Calhoun
Charlotte
Citrus . . .
Columbia
De Soto
Dixie
Flagler
Franklin
Gilchrist
Glades . .
41
272
14
58
75
33
69
33
21
9
9
21
9
9
II
5
34
7
49
II
36
16
9
42
19
4
24
6
3
II
63
15
15
10
18
130
3
30
33
37
16
3
22
3
37
13
16
17
23
10
4
12
7
37
22
12
4
49
18
251
242
117
62
28
68
54
20
42
22
127
10
45
54
27
50
26
7
5
4
14
9
9
II
3
25
4
43
10
19
14
4
27
18
3
23
2
2
10
48
8
13
9
16
48
2
26
25
32
16
3
12
3
34
12
II
8
20
10
3
10
4
33
15
7
3
19
10
151
94
48
26
15
39
19
10
17
313
Table 75. — Number of Full-time Law Enforcement Employees, Rural Counties, October 31, 1990 — Continued
County by State
Total
police
employees
Total
oOlcers
Total
civilians
County by State
Total
police
employees
Total
officers
Total
civilians
County by State
Total
police
employees
Total
officers
FLORIDA— Condnued
Gulf
Hamilton
Hardee
Hendry
Highlands
Holmes
Indian River
Jackson
Jefferson
Lafayette
Lake
Levy
Liberty
Madison
Monroe
Okeechobee
Putnam
Sumter
Suwannee
Taylor
Union
WakuUa
Walton
Washington
GEORGIA
Atkinson
Bacon
Baker
Baldwin
Banks
Bartow
Ben HiU
Berrien
Brantley
Brooks
Bryan
Bulloch
Burke
Calhoun
Camden
Candler
CarroU
Charlton
Chattooga
Clay
Clinch
Coffee
Colquitt
Cook
Crawford
Crisp
Dawson
[>ecatur
Dodge
Dooly
Early
Echols
Elbert
Emanuel
Fannin
Floyd
Floyd Police
Department
Franklin
Gilmer
Glynn
Glynn Police
Department
Gordon
Grady
Greene
Greene Police
Department
26
46
70
81
164
23
285
59
24
9
183
48
15
35
267
118
170
81
50
49
17
38
74
33
9
12
6
41
8
92
19
13
16
22
23
29
69
12
59
9
80
10
35
6
7
31
53
12
17
44
21
26
14
16
20
2
19
15
20
84
59
21
23
93
114
55
20
22
10
13
14
28
43
72
8
116
26
11
4
122
33
6
17
163
47
79
33
28
22
7
18
41
15
3
6
2
29
8
81
12
8
7
13
15
26
59
6
24
4
72
9
35
3
6
21
25
10
8
41
12
16
10
9
13
2
16
10
16
70
50
17
14
21
94
26
II
22
13
32
42
38
92
15
169
33
13
5
61
15
9
18
104
71
91
48
22
27
10
20
33
18
3
5
4
14
9
4
9
72
20
29
9
GEORGIA— Continued
Habersham
Hall
Hancock
Haralson
Harris
Hart
Heard
Irwin
Jasper
Jeff Davis . .
Jefferson
Jenkins
Johnson
Lamar
Lanier
Laurens
Liberty
Lincoln
Long
Lowndes
Lumpkin
Macon
Marion
Mcintosh ...
Meriwether
Miller
Monroe
Montgomery
Morgan
Murray
Oglethorpe . .
Pickens
Pierce
Pike
Polk
Polk Police
Department . ,
Pulaski
Putnam
Quitman
Rabun
Schley
Screven
Seminole
Stephens
Stewart
Talbot
Taliaferro
Tattnall
Taylor
Telfair
TerreU
Thomas
Tift
Toombs
Towns
Treutlen
Troup
Turner
Twiggs
Union
Upson
Ware
Ware Police
Department
Warren
Washington
Wayne
Webster
Wheeler
White
Whitfield . .. .
Wilcox
Wilkes
Wilkinson
28
195
12
24
31
23
19
6
12
10
17
6
5
18
9
41
34
10
9
125
25
7
7
19
20
10
48
6
32
26
12
22
10
13
18
20
17
36
2
19
3
15
10
22
7
8
2
13
9
10
7
37
49
II
10
9
59
10
10
13
31
44
13
4
24
26
3
3
22
103
8
17
14
28
177
8
18
21
14
10
6
7
9
15
3
4
18
5
27
30
5
7
68
19
7
3
12
II
10
42
4
26
17
8
13
6
20
GEORGIA— Continued
Worth
HAWAII
Hawaii Police
Department . .
Kauai Police
Department
Maui Police
Department
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
Madison
Minidoka
Nex Perce
Owyhee . . .
Payette . . . .
Power
Shoshone .
Teton
Twin Falls
VaUey
Washington
ILLINOIS
Adams
Alexander .
Bond
Brown
Bureau
Calhoun
Carroll
Cass
Christian . .
Clark
Clay
Coles
Crawford
Cumberland
De Kalb ...
De Witt ...
Douglas
Edgar
Edwards . . .
22
210
158
336
II
67
10
13
39
24
7
46
66
16
4
5
52
11
44
5
29
10
22
9
18
15
19
32
23
19
105
35
11
22
22
37
13
25
18
30
8
47
22
13
12
189
134
265
II
65
4
13
33
24
5
46
66
16
4
5
36
11
35
2
20
6
21
6
18
9
7
30
14
12
52
22
6
20
9
37
7
25
13
30
8
17
21
13
19
6
7
3
27
2
10
,5
24
10
8
34
8
5
51
20
7
17
2
314
Table 75. — Number of Full-time Law Enforcement Employees, Rural Counties, October 31, 1990 — 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
ILLINOIS— Continiied
Eflingham
Fayette
Ford
Franklin
Fulton
Gallatin
Greene
Hamilton
Hancock
Hardin
Henderson
Iroquois
Jackson
Jasper
Jeflerson
Jo Daviess
Johnson
Knox
La SaUe
Lawrence
Lee
Livingston
Logan
Macoupin
Marion
Marshall
Mason
Massac
McDonough
Mercer
Montgomery
Morgan
Moultrie
Ogle
Perry
Piatt
Pike
Pope
Pulaski
Putnam
Randolph
Richland
Saline
Schuyler
Scott
Shelby
Stark
Stephenson
Union
Vermilion
Wabash
Warren
Washington
Wayne
White
Whiteside
Williamson
INDLVNA
Adams
Bartholomew
Benton
Blackford
Brown
Carroll
Daviess
Decatur
Foimtain
Franklin
Grant
Jackson
JefTerson
Lagrange
La Porte
24
14
12
29
29
3
II
9
17
4
10
27
50
18
31
20
9
30
56
9
27
40
26
45
24
17
10
21
22
17
24
34
15
45
40
14
17
2
12
9
21
U
25
12
6
20
7
31
13
67
7
16
5
8
5
30
51
25
66
12
II
21
17
15
18
II
6
63
19
19
22
104
10
10
6
13
22
3
5
4
8
3
8
18
18
7
16
14
5
29
46
9
27
27
20
20
20
7
9
8
12
7
12
14
10
34
21
9
7
I
5
5
5
2
8
3
30
12
27
3
II
5
7
4
29
45
11
36
4
7
II
7
7
6
5
6
35
9
10
10
44
6
5
9
1
2
9
42
II
15
6
4
1
10
13
6
25
4
10
I
13
10
10
12
20
5
II
19
5
10
I
7
4
13
6
17
7
4
12
4
I
1
40
4
5
14
30
8
4
10
10
8
12
6
INDIANA— Continued
Lawrence . .
Martin
Montgomery
Newton
Parke
Pulaski
Ripley
Rush
Starke
Wabash . . . .
Washington
Wayne
IOWA
28
10
9
12
60
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
Royd
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
MitcheU
IOWA— Conrtnued
Monona
Monroe
Montgomery
O'Brien . . . .
Osceloa
Page
Palo Alto ..
Plymouth
Pocahontas
Poweshiek
Ringgold . . .
Sac
Shelby
Sioux
Story
Tama
Taylor
Union
Van Buren
WapeUo ....
Washington
Wayne
Webster ....
Winnebago .
Winneshiek
Worth
Wright
KANSAS
Allen
Anderson
Barber
Barton
Bourbon
Brown
Chase
Chautauqua
Cheyenne
Clay
Coffey ....
Comanche
Cowley
Crawford
Decatur . . .
Dickinson .
Doniphan
Edwards . .
Elk
Ellis
Ellsworth
Finney
Franklin
Geary
Gove
Graham . . .
Grant
Gray
Greeley
Greenwood
Hamilton .
Harper
HaskeU
Hodgeman
Jackson ...
Jefferson . .
Kearny
Kingman . .
Kiowa
Labette
Lane
Lincoln
Linn
Logan
Lyon
5
4
5
10
10
6
6
8
5
7
3
6
5
II
32
10
5
5
4
7
12
4
13
4
7
5
5
7
4
3
18
5
13
3
3
3
5
8
2
13
18
2
15
4
3
2
II
5
46
12
49
2
3
4
5
3
9
5
4
4
4
12
15
8
5
II
9
4
6
5
2
10
315
Table 75. — Number of Full-dme Law Enforcement Employees, Rural Counties, October 31, 1990 — 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
KANSAS— Continued
Marion
McPherson
Mitchell
Morris
Morton
Nemaha
Neosho
Ness
Norton
Osage
Osborne
Ottawa
Pawnee
Phillips
Pottawatomie
Pratt
Rawlins
Reno
Republic
Rice
Rooks
Rush
Russell
Saline
Seward
Sheridan
Sherman
Smith
Stanton
Stevens
Sumner
Thomas
Trego
Wabaunsee
Washington
Wilson
Woodson
KENTUCKY
Adair
AUen
Anderson
Anderson Police
Department
Ballard
Barren
Bath
BeU
Boyle
Bracken
Breathitt
Breckinridge
Butler
Caldwell
Calloway
Carlisle
Carroll
Casey
Clay
Clinton
Crittenden
Cumberland
Edmonson
Elliott
Estill
Fleming
Floyd
Franklin
Fulton
Gallatin
Garrard
Grant
Graves
Grayson
10
19
4
7
9
10
18
9
8
20
6
9
8
13
21
10
7
54
9
12
8
8
16
44
12
4
10
6
10
II
17
7
6
10
14
17
9
5
10
4
4
4
5
8
3
3
19
3
5
4
8
15
9
2
47
6
6
4
3
4
44
6
3
10
3
6
5
12
7
2
5
8
6
9
KENTUCKY-
Continued
Green
Hancock
Hardin
Harlan
Harrison
Hart
Henry
Hickman
Hopkins
Jackson
Johnson
Knott
Knox
Larue
Laurel
Lawrence
Lee
Leslie
Letcher
Lewis
Lincoln
Livingston . .
Logan
Lyon
Lyon Police
Department
Madison
Magoffin
Marion
Marshall
Martin
Mason
McCracken .
McCreary . . .
McLean
Meade
Menifee
Mercer
Metcalfe
Monroe
Montgomery
Morgan
Muhlenberg .
Nelson
Nelson Police
Department
Nicholas
Ohio
Owen
Owsley
Pendleton . . .
Perry
Pike
Powell
Pulaski
Robertson . . .
Rockcastle
Rowan
Russell
Simpson
Spencer
Taylor
Todd
Trigg
Trimble
Union
Warren
Washington .
Wayne
Webster
Whitley
Wolfe
LOUISIANA
Acadia
Allen
Assumption
Beauregard
Caldwell . . .
Claiborne ..
Evangeline .
Franklin . . .
Grant
Jackson
La Salle ....
Lincoln
Madison . . .
Natchitoches
St. Landry .
St. Mary ...
Vermilion ..
Vernon
West Carroll
MAINE
Aroostook .
Franklin
Hancock
Kennebec
Kjiox
Lincoln
Oxford . . . .
Penobscot .
Piscataquis
Sagadahoc
Somerset
Waldo . . . .
Washington
York
MARYLAND
Caroline
Dorchester
Garrett . . .
Kent
St. Mary's
Somerset
Talbot . . .
Wicomico
Worcester
MICHIGAN
Alcona
Alger
Allegan
Alpena
Antrim
Arenac
Baraga
Barry
Benzie
Branch
Cass
Charlevoix
Cheboygan
Chippewa
Clare
Crawford
Delta
Dickinson
Emmet
Gladwin
Gogebic
Grand Traverse
Gratiot
Hillsdale
82
37
45
58
23
22
35
41
34
34
30
34
18
50
118
101
94
53
20
82
37
38
44
23
22
35
41
34
34
30
33
IS
50
118
101
94
53
20
10
12
10
13
19
14
12
14
6
13
7
13
19
16
15
16
65
9
10
45
21
14
8
45
15
16
10
5
21
14
21
23
12
12
"14
19
13
11
11
16
16
12
43
17
24
316
Table 75. — Number of Full-time Law Enforcement Employees, Rural Counties, October 31, 1990 — Continued
County by State
Total
police
employees
Total
ofTicers
Total
civilians
County by Slate
Total
police
employees
Total
officers
Total
civilians
County by State
Total
police
employees
Total
officers
MICHIGAN—
Continiied
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
St. Joseph
Sanilac
Schoolcraft
Shiawassee
Tuscola
Van Buren
Wexford
MINNESOTA
Aitkin
Becker
Beltrami
Big Stone
Blue Earth
Brown
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
24
41
43
25
19
32
21
3
20
31
54
4
16
28
42
29
35
18
14
37
12
39
30
24
11
23
14
19
28
21
24
38
6
57
44
52
18
22
37
41
7
35
15
17
41
12
10
8
10
42
24
29
14
20
30
43
9
15
20
42
12
14
26
9
16
7
17
8
20
8
18
22
21
17
12
8
17
15
3
8
13
39
3
7
16
28
29
19
7
6
24
7
18
15
11
7
9
9
9
13
15
23
25
6
34
25
25
17
9
15
16
3
17
7
15
26
7
5
7
5
22
15
27
7
13
16
24
4
10
9
40
7
7
22
5
10
3
12
4
II
4
8
MINNESOTA-
Condnued
Mahnomen
Marshall
Martin
McLeod
Meeker
Mille Lacs
Morrison
Mower
Murray
Nicollet
Nobles
Norman
Otter Tail
Pennington
Pine
Pipestone
Polk
Pope
Red Lake
Redwood
Renville
Rice
Rock
Roseau
Sibley
Steele
Stevens
Swift
Todd
Traverse
Wabasha
Wadena
Waseca
Watonwan
Wilkin
Winona
Yellow Medicine
MISSISSIPPI
Claiborne
Clarke
Clay
Coahoma
Franklin
Greene
Humphreys . . .
Issaquena
Jasper
Jefferson Davis
Lauderdale
Lawrence
Lee
Lowndes
Montgomery
Neshoba
Newton
Oktibbeha ....
Perry
Simpson
Tate
Tishomingo . . .
Walthall
Warren
Washington . . .
Wayne
Webster
Winston
Yalobusha
MISSOURI
Andrew
Atchison
MISSOURI— Continued
Audrain
Barton
Benton
Bollinger
Butler
Caldwell
Camden
Carroll
Cedar
Chariton
Cole
Cooper
Crawford
Dallas
Daviess
De Kalb
Douglas
Dunklin
Gasconade . . .
Gentry
Grundy
Harrison
Henry
Hickory
Holt
Johnson
Laclede
Linn
Livingston ...
Madison
Maries
Marion
McDonald . . .
Mercer
Mississippi . . .
Monroe
Morgan
New Madrid
Nodaway
Oregon
Osage
Ozark
Pemiscot
Perry
Pike
Polk
Pulaski
Reynolds
Ripley
St. Clair
St. Francois
Ste Genevieve
Saline
Schuyler
Scotland
Scott
Shelby
Stoddard
Stone
Sullivan
Taney
Vernon
Warren
Washington
Wayne
Webster
Worth
Wright
MONTANA
Beaverhead
Big Horn
Blaine
Broadwater
17
9
13
9
20
3
25
8
4
7
26
4
13
9
4
2
6
17
8
2
3
4
9
4
4
15
13
3
8
7
4
15
10
3
9
7
6
16
12
4
5
8
18
9
12
9
15
4
7
5
30
13
II
2
3
14
3
6
7
4
17
7
8
13
4
10
2
4
7
15
5
6
317
Table 75. — Number of Full-dme Law Enforcement Employees, Rural Counties, October 31, 1990 — Continued
County by State
Total
police
employees
Total
officers
Total
civilians
County by State
Total
police
employees
Total
oflficers
Total
civilians
County by State
Total
police
employees
Total
officers
MONTANA— Continiwd
Carbon
Chouteau
Custer
Daniels
Dawson
Deer Lodge
Fallon
Fergus
Flathead
Gallatin
Granite
HiU
JefTerson
Lake
Lewis and Clark
Liberty
Lincoln
Madison
McCone
Mineral
Missoula
Musselshell
Park
Phillips
Pondera
Powder River
Ravalli
Richland
Roosevelt
Rosebud
Sanders
Sheridan
Silver Bow
Stillwater
Sweet Grass
Teton
Toole
Treasure
Valley
Wheatland
NEBRASKA
Adams
Antelope
Arthur
Baimer
Box Butte
Boyd
Brown
BufTalo
Burt
Butler
Cass
Cedar
Chase
Cherry
Cheyenne
aay
Colfax
Cuming
Custer
Dawes
Dawson
Deuel
Dixon
Dodge
Dundy
Fillmore
Franklin
Frontier
Furnas
Gage
Garden
Garfield
10
II
II
8
8
24
3
16
69
50
10
17
13
26
46
9
32
II
3
9
71
10
15
II
8
7
29
17
29
29
12
12
63
II
8
12
18
2
16
7
15
10
I
I
14
I
7
36
7
9
22
5
6
10
10
6
10
5
6
8
28
7
5
19
5
5
4
6
20
2
9
34
26
3
8
8
13
25
4
20
7
3
4
44
6
9
9
5
3
16
7
17
15
6
6
39
6
4
7
11
2
7
4
10
NEBRASKA— Coadnnetl
Gosper
Grant
Greeley . . .
Hall
Hamilton
Harlan
Hayes
Hitchcock .
Holt
Hooker
Howard ...
Jefferson
Johnson ...
Kearney ...
Keith
Keya Paha
Kimball ...
Knox
Lincoln
Logan
Loup
Madison . .
McPherson
Merrick
Morrill
Nance
Namaha
Nuckolls . .
Otoe
Pawnee
Perkins
Phelps
Pierce
Platte
Polk
Red Willow
Richardson
Rock
Saline
Saunders . . .
Scotts Bluff
Seward
Sheridan . . .
Sherman . . .
Sioux
Stanton
Thayer
Thomas
Thurston . . ,
VaUey
Wayne
Webster . . . ,
Wheeler . . . .
York
NEVADA
Carson City
Churchill . . .
Elko
Esmeralda
Eureka
Humboldt . .
Lander
Lincoln
Lyon
Mineral
Nye
Pershing . . .
Storey
White Pine
17
NEW HAMPSHIRE—
Continaed
Carroll
Cheshire . . .
Coos
Hillsborough
Rockingham
Sullivan
NEW MEXICO
Catron
Chaves . .
Curry ...
Eddy . . . .
Harding .
Lea
Lincoln
Luna
Mora
Otero . . .
Quay . . . .
Roosevelt
Sandoval
San Juan
Sierra . . .
Socorro
Taos . . . .
Torrance
NEW YORK
Allegany
Cattaraugus
Cayuga
Chenango . . ,
Clinton
Columbia . . .
Cortland ...
Delaware
Essex
Franklin
Fulton
Genesee
Jefferson
Lewis
Otsego
St. Lawrence
Schoharie . . .
Seneca
Steuben
Sullivan
Tompkins . . .
Ulster
Wyoming . . .
Yates
NEW HAMPSHIRE
Belknap
NORTH CAROUNA
Alleghany
Anson
Ashe
Avery
Beaufort
Bertie ....
Bladen . . .
Brunswick
CaldweU .
Camden . .
Carteret . .
Caswell
Chatham
Cherokee .
Chowan
Clay
Cleveland
12
7
4
20
14
5
4
21
12
49
I
30
14
19
5
18
5
7
26
39
30
33
20
30
I
30
28
26
21
29
57
34
31
18
15
34
15
43
17
35
32
42
23
18
11
17
14
21
25
13
28
53
35
4
34
18
36
12
9
7
50
318
Table 75. — Number of Full-time Law Enforcement Employees, Rural Counties, October 31, 1990 — Continued
County by State
Total
police
employees
Total
officers
Total
civilians
County by State
Total
police
employees
Total
ofTicers
Total
civilians
County by State
Total
police
employees
Total
officers
NORTH CAROUNA-
ContlDiMd
Columbus
Craven
Currituck
Dare
Duplin
Edgecombe
Gates
Graham
Granville
Greene
Halifax
Harnett
Haywood
Henderson
Hertford
Hoke
Hyde
IredeU
Jackson
Johnston
Jones
Lee
Lenoir
Macon
Martin
McDowell
Montgomery
Moore
Nash
Northampton
Pamlico
Pasquotank
Pender
Perquimans
Person
Pitt
Polk
Richmond
Robeson
Rockingham
Rutherford
Sampson
Scotland
Stanly
Surry
Swain
Transylvania
TyrreU
Vance
Warren
Washington
Watauga
Wayne
Wilkes
Wilson
Yancey
NORTH DAKOTA
Adams
Barnes
Benson
Billings
Bottineau
Bowman
Burke
Cavalier
Dickey
Divide
Dunn
Eddy
Emmons
Foster
Golden Valley
56
90
29
55
45
46
5
II
34
18
55
76
33
90
25
26
22
83
30
48
7
48
64
27
14
39
30
61
59
15
12
14
40
8
31
92
19
47
83
78
44
60
34
46
61
16
41
9
24
19
14
32
53
50
69
II
40
51
20
42
27
31
5
7
30
16
31
46
33
63
13
22
9
68
24
37
7
27
35
23
12
25
19
38
39
II
8
14
29
5
22
63
13
27
64
69
30
43
25
38
34
8
26
5
24
12
10
22
34
30
46
5
NORTH DAKOTA-
Continued
Grant
Griggs . . .
Hettinger
Kidder . .
Lamoure
Logan . . .
McHenry
Mcintosh
McKenzie
McLean
Mercer
Mountrail
Nelson
Oliver ...
Pembina
Pierce . . .
Ramsey .
Ransom .
Renville .
Richland
Rolette ..
Sargent . .
Sheridan
Sioux —
Slope
Stark
Steele ...
Stutsman
Towner
Traill
Walsh ...
Ward
Wells
Williams
OHIO
Ashtabula .
Athens
Champaign
Clinton ...
Columbiana
Coshocton
Crawford
Darke
Defiance . . .
Erie
Fayette
Gallia
Hancock . . .
Hardin
Harrison . . ,
Henry
Highland . . .
Hocking
Holmes
Huron
Logan
Marion
Meigs
Mercer
Monroe
Morgan
Muskingum
Ottawa
Perry
Preble
Putnam
Ross
Sandusky
Scioto
Seneca
Shelby
Tuscarawas
OHIO— Continued
Van Wert
Vinton
Wayne
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 . . .
Le Flore
Lincoln
Love
Major
Marshall
Mayes
McCurtain
Mcintosh
Murray
Muskogee
Noble
Nowata . . .
Okfuskee . .
Okmulgee .
Ottawa
Pawnee
Payne
Pittsburg . .
Pontotoc . . .
Pushmataha
Roger Mills
Seminole . . .
Stephens . . ,
Texas
Tillman
Washington
Washita . . . .
Woods . . . . .
Woodward
OREGON
10
6
7
4
8
4
11
8
11
II
8
7
15
6
17
7
38
11
19
12
10
4
7
3
8
4
9
4
8
6
19
11
16
10
8
3
7
3
13
6
17
11
9
9
6
6
3
3
5
3
13
7
8
8
13
7
6
3
10
6
26
9
10
7
9
9
8
5
18
8
15
8
14
5
7
3
13
5
13
7
12
8
10
5
8
4
61
13
10
10
9
5
9
4
14
14
13
II
12
5
20
19
17
12
16
8
II
5
10
7
14
14
18
10
12
6
10
5
17
15
10
9
7
3
13
9
5 Baker J
319
Table 75. — Number of Full-time Law Enforcement Employees, Rural Counties, October 31, 1990 — Continued
County by State
Total
police
employees
Total
ofTicers
Total
civilians
County by State
Total
police
employees
Total
ofTicers
Total
civilians
County by State
Total
police
employees
Total
officers
OREGON— ContiiiiKd
Benton
Qatsop
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
PENNSYLVANU
Clearfield
Jefferson
Warren
SOUTH CAROUNA
Abbeville
Allendale
Bamberg
Barnwell
Beaufort
Calhoun
Cherokee
Chester
Chesterfield
Qarendon
Colleton
Darlington
Dillon
Edgefield
Fairfield
Georgetown
Greenwood
Hampton
Horry Police
Department
Jasper
Kershaw
Lancaster
Laurens
Lee
Marion
Marlboro
McCormick
Newberry
Oconee
Orangeburg
Saluda
Sumter
Union
Williamsburg
SOUTH DAKOTA
Aurora
SOUTH DAKOTA-
Continued
32
19
15
42
8
29
50
84
3
5
5
15
17
65
28
3
29
52
14
15
4
19
13
5
9
22
2
26
7
10
18
109
12
39
33
25
43
42
56
27
22
41
52
53
18
129
29
34
56
46
26
17
17
15
35
44
57
18
66
32
37
17
6
8
11
109
II
32
24
18
27
24
37
17
12
29
35
38
10
118
15
27
39
29
16
13
13
7
24
32
44
9
61
24
19
Beadle
Bennett
Bon Homme
Brookings . .
Brovm
Brale
Buffalo
Butte
Campbell . .
Charles Mix
Clay
Codington .
Custer
Davison
Day
Deuel
Douglas
Edmunds . .
Fall River
Haakon
Hand
Hanson
Harding
Hughes
Hutchinson
Hyde
Jackson
Jerauld
Jones
Lake
Lawrence . . .
Lincoln
Lyman
Marshall
McPherson
Miner
Moody
Perkins
Potter
Sanborn
Spink
SuUy
Union
Walworth . . .
Yankton
TENNESSEE
Bradley . . .
Chester . . .
Claiborne
Cocke
Crockett
Fentress . . .
Gibson
Giles
Greene
Hamblen
Hancock
Hardeman
Hardin
Haywood
Henderson
Henry
Houston
Humphreys
Lawrence
Lewis
Lincoln . . .
Loudon . . .
Maury
McMinn
McNairy
Meigs
TENNESSEE-
Continued
Monroe
Overton . .
Perry
Polk
Putnam
Roane
Stewart
Trousdale
Van Buren
Warren
Weakley
TEXAS
Anderson . . .
Andrews
Angelina
Aransas
Archer
Armstrong
Atascosa
Austin
Bailey
Bandera
Bastrop
Baylor
Bee
Blanco
Borden
Bosque
Brewster
Briscoe
Brooks
Brown
Burleson
Burnet
Caldwell . . . .
Calhoun
Callahan
Camp
CarMn
Cass
Castro
Chambers . . .
Cherokee
Childress
Clay
Cochran
Coke
Coleman
Collingsworth
Colorado . . . .
Comanche
Concho
Cooke
Cottle
Crane
Crockett ....
Crosby
Culberson . . .
Dallam
Dawson
Deaf Smith .
Delta
DeWitt
Dickens
Dimmit
Donley
Duval
Eastland
Edwards
Erath
Fannin
Fayette
44
19
50
25
II
5
54
25
8
18
69
8
29
10
1
15
11
3
17
24
15
35
46
29
12
9
6
25
14
55
42
9
14
II
5
9
12
17
21
8
29
5
10
11
12
II
9
II
33
15
17
6
18
8
24
12
9
36
19
26
23
II
7
12
27
30
8
4
3
36
20
18
10
21
13
7
2
16
16
3
12
20
2
12
6
1
5
4
2
6
14
7
20
10
21
7
4
5
12
6
25
18
4
10
7
4
5
9
12
6
3
13
2
6
7
6
5
3
7
14,
6
7
2
10
5
15
4
5
15
II
12
320
Table 75. — Number of FuU-dine Law Enforcement Employees, Rural Counties, October 31, 1990 — Continued
Total
police
employees
Total
Total
officers
civilians
9
5
4
12
7
5
5
3
2
12
5
7
19
10
9
53
11
42
15
9
6
11
7
4
21
9
12
4
2
2
15
7
8
20
11
9
16
13
3
17
9
8
37
23
14
7
3
4
16
7
9
7
3
4
8
4
4
4
2
2
8
3
5
14
8
6
62
26
36
28
14
14
20
9
11
41
16
25
37
18
19
13
8
5
22
12
10
26
6
20
42
20
22
30
13
17
6
3
3
14
5
9
17
7
10
24
15
9
4
2
2
29
14
15
29
16
13
14
4
10
19
8
U
28
16
12
6
5
1
4
2
2
40
21
19
7
11
2
1
3
5
8
37
36
1
7
6
1
42
14
28
12
7
5
16
8
8
20
6
14
19
11
8
13
8
5
10
7
3
38
15
23
9
5
4
17
8
9
20
11
9
2
11
2
5
6
16
8
8
14
10
7
3
5
3
57
35
22
40
17
23
12
8
3
2
26
14
12
9
4
19
7
12
9
4
County by State
Total
police
employees
Total
officers
Total
civilians
County by Stale
Total
police
employees
Total
officers
TEXAS— CoBtiniied
TEXAS— Continued
Mitchell
Montague
Moore
Morris
Motley
Nacogdoches .
Navarro
Newton
Nolan
Ochiltree
Oldham
Palo Pinto ...
Panola
Parmer
Pecos
Polk
Presidio
Rains
Reagan
Real
Red River ...
Reeves
Refugio
Roberts
Robertson
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
WiUacy
Wilson
Winkler
Wise
Wood
Yoakum
Young
Zapata
Zavala
UTAH
Beaver . . .
Box Elder
Cache . . . .
10
20
24
14
1
36
57
12
18
19
10
32
26
12
21
36
11
17
9
5
15
44
19
5
18
II
44
11
10
19
7
9
14
12
20
9
25
59
9
4
6
13
9
5
14
7
22
12
26
33
14
24
63
34
53
30
22
43
10
12
23
22
12
39
43
18
27
31
25
4
8
II
8
1
16
20
II
10
9
5
12
12
6
13
19
4
7
4
2
8
12
10
4
6
6
23
5
5
9
2
5
8
3
5
4
13
30
5
3
2
5
4
3
6
2
10
7
to
16
8
9
9
19
26
15
13
24
6
6
10
8
6
20
20
9
12
21
20
37
1
8
10
5
20
14
6
8
17
7
10
5
3
7
32
9
1
12
5
21
6
5
10
5
4
6
9
15
5
12
29
4
1
4
8
5
2
8
5
12
5
16
17
6
15
54
15
27
15
9
19
4
6
13
14
6
19
23
9
15
10
17
16
UTAH— Continued
Carbon
Daggett . . .
Duchesne
Emery
Grand
Iron
Juab
Kane
Millard ....
Morgan . . .
Piute
Rich
San Juan
Sanpete . . .
Sevier
Summit ...
Tooele
Uintah ....
Wasatch
Washington
Wayne
VERMONT
Lamoille
Orleans
Windham
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 . . .
King and Queen
King George
King WiUiam . . .
Lancaster
Lee
Louisa
Lunenburg
Madison
Mathews
Mecklenburg
Middlesex
Montgomery
Nelson
Northampton . . .
Northumberland
44
32
14
73
17
51
20
25
43
15
36
39
22
15
10
59
12
36
13
69
17
58
57
31
26
28
34
85
13
26
9
19
18
22
44
26
13
13
13
45
12
48
20
28
19
19
3
20
20
11
13
6
9
22
5
1
7
17
11
24
18
16
19
12
31
1
8
7
14
40
30
8
61
17
51
13
21
33
10
28
31
21
10
5
47
8
27
8
54
17
46
46
24
21
26
27
75
8
21
5
13
12
19
41
19
7
20
7
38
20
24
18
321
Table 75. — Number of Full-time Law Enforcement Employees, Rural Counties, October 31, 1990 — Continued
County by State
Total
police
employees
Total
officers
Total
civilians
County by State
Total
police
employees
Total
ofTicers
Total
civilians
County by State
Total
police
employees
Total
officers
VIRGINIA— Continued
Nottoway
Orange
Page
Patrick
Prince Edward
Pulaski
Rappahannock
Richmond
Rockbridge
Rockingham
Russell
Shenandoah
Smyth
Southampton
Spotsylvania
Surry
Sussex
Tazewell
Warren
Westmoreland
Wise
Wythe
WASHINGTON
Adams
Asotin
Chelan
Qallam
Columbia
Cowlitz
Douglas
Ferry
Garfield
Grant
Grays Hart>or
Island
Jefferson
Kittitas
Klickitat
Lewis
Lincoln
Mason
Okanogan
Pacific
Pend Oreille
San Juan
Skagit
Skamania
Stevens
Wahkiakum
WaUa WaUa
Whitman
WEST VIRGINU
Barbour
Berkeley
Boone
Braxton
Calhoun
aay
Doddridge
Fayette
15
25
34
25
15
59
8
14
60
62
39
52
41
41
48
12
30
51
52
32
54
40
24
10
49
40
7
51
30
13
7
35
53
36
19
28
20
54
12
40
29
21
16
21
75
22
24
9
19
25
17
24
25
6
5
4
2
33
9
23
33
21
15
46
8
II
44
29
36
52
41
32
38
7
28
43
51
25
43
32
15
8
39
30
4
42
20
8
3
32
45
27
16
21
15
42
II
33
25
12
9
15
38
19
21
5
16
11
5
19
22
5
4
4
2
21
13
WEST VIRGINIA-
ContiDued
Gilmer
Grant
Greenbrier
Hampshire
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
Bayfield
Buffalo
Burnett
Clark
Columbia . . .
Crawford
Dodge
Door
Dunn
Florence
Fond du Lac
Forest
Grant
Green
Green Lake .
Iowa
Iron
Jackson
Jefferson
Juneau
10
WISCONSIN—
Continaed
Kewaunee
Lafayette
Langlade
Lincoln
Manitowoc
Marinette
Marquette
Menominee
Menominee Tribal
Police Department
Monroe
Oconto
Oneida
Pepin
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
Lincoln
Niobrara
Park
Platte
Sheridan
Sublette
Sweetwater
Teton
Uinta
Washakie
Weston
OTHER AREAS
Guam
Puerto Rico
23
19
19
31
66
43
22
II
16
35
53
37
9
33
29
55
19
23
20
58
19
40
24
28
20
42
122
14
31
23
63
37
15
108
30
24
17
55
12
12
11
36
5
31
10
22
25
58
47
55
22
18
19
23
52
29
22
10
14
33
29
23
9
33
25
42
17
22
20
46
17
39
17
23
19
28
74
12
31
23
42
34
7
41
21
16
6
26
6
9
8
17
3
17
6
12
14
41
37
26
6
5
418
14,009
335
11,990
322
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 64, Crime in the
United States - 1990.
B) Column 2 indicates the level of submission
necessary for an agency's statistics to be includ-
ed in a table.
C) Column 3 explains how each table was con-
structed. Data adjustments, if any, are discuss-
ed along with various definitions of data aggre-
gation.
D) Column 4 contains general comments regarding
the potential use and misuse of the statistics
presented.
I
323
(1)
(2)
Data Base
(3)
Table Construction
(4)
General Comments
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 in
1990).
All law enforcement agencies in the UCR Program
(including those submitting less than 1 2 months in
1990).
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 in
1990).
All law enforcement agencies submitting complete
reports for 12 months in 1990.
All university/college law enforcement agencies sub-
mitting complete reports for 12 months in 1990.
AU law enforcement agencies submitting complete
reports for 12 months in 1990.
The 1990 statistics are consistent with Table 2. Pre-
1990 crime statistics may have been updated, and
hence, may not be consistent with prior publica
tions. Crime statistics include estimated offense
totals for agencies submitting less than 12 months
of offense reports for each year. Population statis-
tics represent July 1 provisional estimations for
each year except 1 990. which are Bureau of the
Census decennial census data and are subject to
possible adjustment (see App. III). Crime volume
statistics are rounded to the nearest 10 for violent
crime and the nearest 100 for property crime.
Percent changes and rates are computed prior to
rounding.
Statistics are aggregated from individual state statis-
tics as shown in Table 5. Crime statistics include
estimated offense totals for agencies submitting less
than 12 months of offense reports. Population
statistics represent 1990, Bureau of the Census
decennial census data. See Appendix III for UCR
population breakdowns.
Regional offense distributions are computed from
volume figures as shown in Table 4. Population
distributions are based on 1990 Bureau of the
Census decennial census data (see App. III).
The 1990 statistics are aggregated from individual
state statistics as shown in Table S. Crime statistics
include estimated offense totals for agencies sub-
mitting less than 1 2 months of offense reports for
1989 and 1990. Population statistics represent
July 1 provisional estimates for 1989 and decennial
census data for 1990 (see App. 111).
Crime statistics include estimated offense totals for
agencies submitting less than 12 months of offense
reports. Population statistics represent 1990, Bu-
reau of the Census decennial census counts (see
App. 111). Statistics under the heading "Area Actu-
ally Reporting" represent reported offense totals
for agencies submitting 12 months of offense
reports and estimated totals for agencies submit-
ting less than 12 but more than 2 months of offense
reports. The statistics under the heading "Estimat-
ed Totals" represent the above plus estimated
offense totals for agencies having less than 3
months of offense reports.
"Cities and Towns" are defined to be agencies in
Population Groups I through V (App. III). The
agency populations are 1 990 Bureau of the Census
decennial census counts (see App. III).
The 1988 student enrollment figures, which are pro-
vided by the U. S. Department of Education, are
the most recent available. They include full- and
part-time students. No adjustments to equate part-
time enrollments into full-time equivalents have
been made.
"Suburban Counties" are defined as the areas covered
by noncity agencies within an MSA (App. III).
Population estimates of suburban counties are
1990 Bureau of the Census decennial census counts
(see App. III).
Represents an estimation of national reported
crime activity from 1981 to 1990.
Represents an estimation of national reported
crime activity in 1990.
Represents the 1990 geographical distribution
of estimated Crime Index offenses and pop-
ulation.
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-
Represents reported crime activity of individ-
ual 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 from those individ-
ual university/college law enforcement agen-
cies contributing to the UCR Program.
These agencies are listed alphabetically by
state. Any comparison of these UCR statis-
tics should take into consideration size of
enrollment, number of on-campus residents,
plus other demographic differences.
Represents crime reported to individual law
enforcement agencies in suburban counties,
i.e., the individual sheriffs office, county
police department, highway patrol, and/or
state police. These figures do not represent
the county totals since they exclude city
crime counts. Any comparison of UCR
statistics should take into consideration
demographic differences.
324
(2)
Data Base
(3)
Table Conslniction
(4)
General Comments
All law enforcement agencies submitting complete
reports for 12 months in 1990.
All law enforcement agencies submitting complete
reports for at least 6 common months in 1989 and
1990.
All law enforcement agencies submitting complete
reports for 12 months in 1990.
All law enforcement agencies submitting complete
reports for at least 6 months in 1990.
All law enforcement agencies submitting complete
reports for at least 6 months in 1990.
All law enforcement agencies in the UCR Program
(including those submitting less than 1 2 months in
1990).
All law enforcement agencies submitting complete
reports for 12 months in 1990.
All law enforcement agencies submitting complete
reports for 12 months in 1981 and 1990.
All law enforcement agencies submitting complete
reports for 12 months in 1986 and 1990.
"Rural Counties" are those outside MSAs and whose
jurisdictions are not covered by city police agencies
(App. HI). Population classifications of rural coun
ties are based on 1990 Bureau of the Census
decennial census counts for individual agencies
(See App. III).
The 1990 crime trend statistics are 2-year comparisons
based on 1990 reported crime activity. Only com
mon reported months for individual agencies are
included in 1990 trend calculations. Populations
represent 1990 Bureau of the Census decennial
census counts for individual agencies. See Appen-
dix III for UCR population breakdowns. Note that
"Suburban and Nonsuburban Cities" are all mu-
nicipal agencies other than central cities in MSAs
The 1 990 crime rates are the ratios of the aggregated
1990 crime volumes and the aggregated 1990
populations of the contributing agencies. Popula-
tion statistics represent 1990 Bureau of the Census
decennial census counts for individual agencies
See Appendix III for UCR population breakdowns
Note that "Suburban and Nonsuburban Cities" are
all municipal agencies other than central cities in
MSAs.
Offense total and value lost total are computed for all
Index offense categories other than aggravated
assault. Percent distribution is derived based on
offense total of each Index offense. Trend statistics
are derived based on agencies with at least 6
common months complete for 1989 and 1990
The 1990 clearance rates are based on offense and
clearance volume totals of the contributing agen.
cies for 1990. Population statistics represent 1990
Bureau of the Census decennial census counts for
individual agencies. See .Appendix III for UCR
population breakdowns.
The arrest totals presented are national estimates
based on the arrest statistics of all law enforcement
agencies in the UCR Program (including those
submitting less than 12 months). The "Total Esti-
mated Arrests" statistic is the sum of estimated
arrest volumes for each of the 29 offenses. Each
individual arrest total is the sum of the estimated
volumes within each of the eight population groups
(App. III). Each group's estimate is the reported
volume (as shown in Table 26) divided by the
percent of total group population reporting
(according to 1 990 Bureau of the Census decennial
census counts; see App III),
The 1990 arrest rates are the ratios, per 100,000
inhabitants, of the aggregated 1 990 reported arrest
statistics and population. The population statistics
represent 1990 Bureau of the Census decennial
census counts for individual agencies. See Appen-
dix III for UCR population classifica
tions/geographical configuration.
The arrest trends are the percentage differences
between 1981 and 1 990 arrest volumes aggregated
from all common agencies. Population statistics
represent 1990 Bureau of the Census decennial
census counts (see App. III).
The arrest trends are the percentage differences
between 1986 and 1 990 arrest volumes aggregated
from common agencies. Population statistics repre-
sent 1990 Bureau of the Census decennial census
counts (see App. III).
Represents crime reported to individual rural
county law enforcement agencies covering
populations 25.000 and over, i.e.. the indi-
vidual sheriffs office, county F>olice depart-
ment, highway patrol, and/or state police.
These figures do not represent the county
totals since they exclude city crime counts.
Any comparison of UCR statistics should
take into consideration demographic differ-
ences.
Slight decrease in national coverage for
Table 1 3 due to editing procedure and lower
submission rate.
The forcible rape figures furnished by the
Illinois state-level UCR Program were not in
accordance with national guidelines. For
inclusion in these tables, the forcible rape
figures were estimated by using the national
rates for each population group applied to
the population by group for Illinois agencies
supplying all 12 months of data. Slight
decrease in national coverage for Table 17
due to editing procedure and low-er submis-
sion rate.
Aggravated assault is excluded from Table 18.
For UCR Program purposes, the taking of
money or property in connection with an
assault is reported as a robbery.
325
(1)
(2)
Data Base
(3)
Table Construction
(4)
General Comments
31. 32
33-38
39. 40
41-44
45. 46
47-50
51, 52
53-56
57, 58
59-62
63
64
All law enforcement agencies submitting complete
reports for 12 months in 1989 and 1990.
All law enforcement agencies submitting complete
reports for 12 months in 1990.
All city law enforcement agencies submitting complete
reports for 12 months in 1989 and 1990.
All city law enforcement agencies submitting complete
reports for 12 months in 1989 and 1990.
All suburban county law enforcement agencies submit
ting complete reports for 12 months in 1989 and
1990.
All suburban county law enforcement agencies submit-
ting complete reports for 12 months in 1990.
All rural county law enforcement agencies submitting
complete reports for 1 2 months in 1989 and 1 990.
All rural county law enforcement agencies submitting
complete reports for 12 months in 1990.
All suburban area law enforcement agencies submit-
ting complete reports for 12 months in 1989 and
1990.
All suburban area law enforcement agencies submit-
ting complete reports for 12 months in 1990.
All law enforcement agencies submitting complete
reports for 12 months in 1990.
All law enforcement agencies submitting complete
reports for 12 months in 1990.
The arrest trends are 2-year comparisons between
1989 and 1990 arrest volumes aggregated from
common agencies. Population statistics represent
1 990 Bureau of the Census decennial census counts
(see App. III).
The 1990 city arrest trends represent the percentage
differences between 1989 and 1990 arrest volumes
aggregated from common city agencies. "City
Agencies" are defmed to be all agencies within
Population Groups I-VI (App. III).
"City Agencies" are defined as agencies within
Population Groups I-VI (App. III).
The 1990 suburban county arrest trends represent
percentage differences between 1989 and 1990
volumes aggregated from contributing agencies.
"Suburban Counties" are defined as the areas
covered by noncity agencies within an MSA
(App. III).
"Suburban Counties" are defined as the areas covered
by noncity agencies within an MSA (App. III).
The 1 990 rural county arrest trends represent percent
age differences between 1989 and 1990 volumes
aggregated from contributing agencies. "Rural
Counties" are defined as noncity agencies outside
MSAs (App, III).
"Rural Counties" are defined as noncity agencies
outside MSAs (App. III).
The 1990 suburban area arrest trends represent per-
centage differences between 1989 and 1990 arrest
volumes aggregated from contributing agencies.
"Suburban Area" is defined as cities with fewer
than 50,000 inhabitants and all counties within
MSAs (App. III).
"Suburban ,\rea" is defined as cities with fewer than
50,000 inhabitants and all counties within MSAs
(App. III).
Arrest totals are aggregated for individual agencies
within each state. Population figures represent
1990 Bureau of the Census decennial census counts
(see App. III).
Population statistics represent 1990 Bureau of the
Census decennial census counts for individual
agencies. See Appendix III for definitions of the
population classifications presented.
Slight decrease in coverage for Table 38 due to
editing procedure and lower submission of
race data.
Slight decrease in coverage for Table 44 due to
editing procedure and lower submission of
race data.
Slight decrease in coverage for Table 50 due to
editing procedure and lower submission of
race data.
Slight decrease in coverage for Table 56 due to
editing procedure and lower submission of
race data.
Slight decrease in coverage for Table 62 due to
editing procedure and lower submission of
race data.
Any comparison of statistics should take into
consideration variances in arrest practices,
particularly for Part II crimes.
Data furnished are based upon individual state
age definitions for juveniles.
APPENDIX II
OFFENSES IN UNIFORM CRIME REPORTING
Offenses in Uniform Crime Reporting are divided into
two groups, Part I and Part II. Information on the volume
of Part I offenses known to law enforcement, those 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:
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 homi-
cides are limited to: (1) the killing 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 man-
slaughter by negligence is a Part 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 any-
thing 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.
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 equip-
ment, 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 is used and which do not result
in serious or aggravated injury to the victim.
Forgery and counterfeiting. — Making, altering,
uttering, or possessing, with intent to defraud, anything
false in the semblance of that which is true. Attempts are
included.
Fraud. — Fraudulent conversion and obtaining
money or property by false pretenses. Included are confi-
dence games and bad checks, except forgeries and counter-
feiting.
Embezzlement. — Misappropriation or misapplica-
tion of money or property entrusted to one's care, custody,
or control.
Stolen property; buying, receiving, possessing. —
Buying, receiving, and possessing stolen property, includ-
ing 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 weap-
ons 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 im-
moral purposes. Attempts are included.
Sex offenses (except forcible rape, prostitution, and
commercialized vice). — Statutory rape and offenses against
chastity, common decency, morals, and the like. Attempts
are included.
Drug abuse violations. — State and local offenses
relating to the unlawful possession, sale, use, growing, and
manufacturing of narcotic drugs.
Gambling. — Promoting, permitting, or engaging in
illegal gambling.
Offenses against the family and children. — Nonsup-
port, neglect, desertion, or abuse of family and children.
327
Driving under the influence. — Driving or operating
any vehicle or common carrier while drunk or under the
influence of liquor or narcotics.
Liquor laws. — State or local liquor law violations,
except "drunkenness" and "driving under the influence."
Federal violations are excluded.
Drunkenness. — Offenses relating to drunkenness or
intoxication. Excluded is "driving under the influence."
Disorderiy conduct. — Breach of the peace.
Vagrancy. — Vagabondage, begging, loitering, etc.
All other offenses. — All violations of state or local
laws, except those listed above and traffic offenses.
Suspicion. — No specific offense; suspect released
without formal charges being placed.
Curfew and loitering laws (persons under age 18). —
Offenses relating to violations of local curfew or loitering
ordinances where such laws exist.
Runaways (persons under age 18). — Limited to
juveniles taken into protective custody under provisions of
local statutes.
328
APPENDIX III
UNIFORM CRIME REPORTING AREA DEFINITIONS
Community Types
Uniform Crime Reporting data are often presented
using three community-type aggregations. These are
Metropolitan Statistical Areas (MSAs), other cities, and
rural counties.
The MSA concept was developed to facilitate the analy-
sis and dissemination of uniform 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. Each MSA is an integrated
economic and social unit with a recognized large popula-
tion nucleus. Detailed criteria followed in establishing and
defining MSAs can be found in the U. S. Department of
Commerce publication, State Metropolitan Area Data
Book, 1986 edition.
An MSA includes a central city of at least 50,000
population or an urbanized area of at least 50,000. The
county containing the central city and contiguous counties
having strong economic and social relationships to the
central city and county are also included. Counties in
MSAs are designated suburban in UCR. An MSA may
cross state lines.
New England MSAs are comprised of cities and towns
instead of counties. In this publication's tabular presenta-
tions. New England cities and towns are assigned to the
proper MSA. Some counties, however, 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 77 percent of the total
United States population in 1990. Some presentations in
this book refer to "suburban area." A suburban area
includes cities with less than 50,000 inhabitants in addi-
tion 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 9 percent of the 1990
population of the United States.
Rural counties, like "other cities," are outside MSAs.
Covering areas not under the jurisdiction of city police
departments, rural county law enforcement agencies
offered service to 14 percent of the national population in
1990.
The following diagram illustrates the aforementioned
discussion of the community types.
MSA
NON-MSA
CITIES
CENTRAL CITIES
50,000 AND OVER
OTHER
CITIES
SUBURBAN
CITIES
COUNTIES
(Unincorporated areas)
SUBURBAN
COUNTIES
RURAL
COUNTIES
Population Groups
The population group classifications used by the UCR
Program are:
Population Group
I
II
III
IV
V
VI
Political
Label
..City
..City
..City
..City
..City
.City'
VIII (Rural County) County^
IX (Suburban County) ....County^
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
' Includes universities and colleges to which no population
is attributed.
- Includes state police to which no population is attrib-
uted.
The major source of UCR data is the individual law
enforcement agency. The number of agencies included in
each population group will vary slightly from year to year
due to population growth, geopolitical consolidation,
municipal incorporation, etc. Population figures for indi-
vidual jurisdictions are estimated by the UCR Program in
noncensus years. In this edition, the population counts are
Bureau of the Census 1990 decennial census data, which
are subject to possible adjustment for undercount or
overcount. The U.S. Department of Commerce is consider-
ing whether to correct these and will publish corrected
counts, if any, not later than July 15, 1991. Any changes
will be updated for the 1991 edition of this publication.
The following table shows the number of UCR contrib-
uting agencies within each population group for 1990.
Population
Group
I
II
III
IV
V
VI
VIII (Rural County) ..
IX (Suburban County)
Number of
Agencies
64
133
345
698
1,680
7,553'
3,6922
1,7022
Population
Covered
45,267,636
19,345,880
23,516,653
24,193,058
26,459,400
25,096,423
33,791,460
51,039,363
Total 15,867 248,709,873
'Includes universities and colleges to which no population is attrib-
uted.
includes state police to which no population is attributed.
329
Regions and Divisions
As shown in the accompanying map, the United States is
comprised of four regions: the Northeastern States, the
Midwestern States, the Southern States, and the Western
States. These regions are further divided into nine divi-
sions. The following table delineates the regional, division-
al, and state configuration of the country.
NORTHEASTERN STATES
SOUTHERN STATES
New England
Middle Atlantic
Connecticut
New Jersey
Maine
New York
Massachusetts
Pennsylvania
New Hampshire
Rhode Island
Vermont
MIDWESTERN STATES
East North Central
West North Central
Illinois
Iowa
Indiana
Kansas
Michigan
Minnesota
Ohio
Missouri
Wisconsin
Nebraska
North Dakota
South Dakota
South Atlantic
East South Central
Delaware
Alabama
District of Columbia
Kentucky
Florida
Mississippi
Georgia
Tennessee
Maryland
West South Central
North Carolina
Arkansas
South Carolina
Louisiana
Virginia
Oklahoma
West Virginia
Texas
WESTERN STATES
Mountain
Pacific
Arizona
Alaska
Colorado
California
Idaho
Hawaii
Montana
Oregon
Nevada
Washington
New Mexico
Utah
Wyoming
Regions and Divisions of the United States
Midwest
Northeast
.New England
330
APPENDIX IV
INDEX OF CRIME, METROPOLITAN
STATISTICAL AREAS, 1990
MetropoUUn Sutislical Area
Population
Cnme
Index
total
Modified
Crime
Index
total'
Violent
crime^
Property
crime'
Murder
and non-
negligent
man-
slaugbter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
AWkM, Tx. M5jV.
(Includes Taylor County.)
City of Abilene
Total area actually reporting
Rate per 100,000 inhabitants
Albuy-Schenectiidy-Troy, N.Y. MSJ^ ..
(Includes Albany. Greene,
Montgomery, Rensselaer, Saratoga and
Schenectady Counties.)
City of
Albany
Schenectady
Troy
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
AlbmucniiK, NJM. IVtS-A.
(Includes Bernalillo County.)
City of Albuquerque
Total area actually reporting
Rate per 100,000 inhabitants
AUeolon-BetUeben, Pt.-NJ. MSA. ...
(Includes Cartwn, Lehigh, and
Northampton Counties, Pa., and
Wantn County, N.;.)
City of:
Allentown Pa.
Bethlehem Pa
Total area aaually reporting
Rate per 100,000 inhabitants
Altooiu, Pi. MSA.
(Includes Blair County.)
City of Altoona
Total area actually reporting
Rate per 100,000 inhabitanu
Aniriilo, Tx. M3jt
(Includes Potter and Randall
Counties.)
City of Amanllo
Total area actually reporting
Rate per 100,000 inhabitants
Aachonte, Ak. MSA.
(Includes Anchorage Borough.)
Total area anually reporting
Rate per 100.000 inhabitanu
Aatbeim-Santi Ana, Ca. M.S.A.
(Includes Orange County.)
City of
Anaheim
Santa Ana
Total area actually reporting
Rate per 100.000 inhabitants
Aadenon, S.C. MSA
(Includes Anderson County.)
City of Anderson
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
119,655
106,654
100.0%
S14J04
101,082
65,566
54,269
98.3%
100.0%
«0,577
384,736
100.0%
686,688
105,090
71,428
100.0%
130342
51,881
100.0%
187,547
157,615
100.0%
226,338
100.0%
2,410,556
266,406
293,742
100.0%
145,281
26,184
99.3%
100.0%
5,739
6,038
5.046.2
6.635
3.370
2,677
32,909
33,483
3,829.7
38,721
45.012
9.366.2
6,574
2,444
21,172
3,083.2
1,418
3,129
2.396.9
13.643
14.465
7,712.7
13,007
5.746.7
19,096
22,291
143,789
5,965.0
2,215
7,590
7.671
5.280.1
914
945
789.8
1,052
250
146
2,988
3,037
347.4
5,121
5,886
1.224.8
393
163
1.314
191.4
165
268
205.3
926
1.008
537.5
1.330
587.6
1.802
2.663
12,799
531.0
370
1,043
1,054
725.5
4,825
5,093
4,256.4
5,583
3,120
2,531
29.921
30.446
3,482.3
33,600
39.126
8.141.5
6,181
2,281
19,858
2.891.9
1,253
2,191.6
12,717
13,457
7,175.3
11.677
5,159.1
17,294
19,628
130,990
5,434.0
1,845
6,547
6,617
4,554.6
6.7
34
50
104
3
14
2.0
22
24
12.8
10
4.4
20
43
149
6.2
5
12
12
8.3
92
99
82.7
82
36
25
249
251
28.7
222
274
57.0
22
24
122
17.8
37
58
44.4
75
86
45.9
203
89.7
94
73
607
25.2
20
62
63
43.4
187
1571
386
129
65
710
724
82.8
1,030
1,162
241.8
197
45
375
54.6
39
57
43.7
248
249
132.8
350
154.6
975
1,553
5,212
216.2
46
125
127
87.4
628
650
543.2
575
76
56
2,003
2,036
232.9
3,835
4,400
915.6
172
91
803
116.9
89
151
115.7
581
649
346.0
767
338.9
713
994
6,831
283.4
299
844
852
586.4
1,647
1,760
1,4709
1,884
1,163
840
7,826
7,925
906.4
9,497
12,212
2.541.1
1.434
453
4.287
624.3
484
924
707.8
3.262
3,456
1,842.7
2.060
910.1
4,217
3.574
29,161
1,209.7
576
2,207
2,222
1,529.4
2,912
3.063
2.559.9
266
270
225.6
3.264
435
1.700
257
1.551
140
20.590
1.505
20.966
1,555
2.398.0
177.9
22.130
1,973
24.623
2,291
5.123.6
476.7
4.318
429
1.682
146
14,297
1,274
2,082.0
185.5
665
104
1,735
202
1,329.1
154.7
8.876
579
9.385
616
5,004.1
328.5
8,083
1,534
3,571.2
677.7
9.761
3.316
12.136
3,918
81.203
20,626
3.368.6
855.7
1,125
144
3,813
527
3,863
532
2.659.0
366.2
See footnotes at end of table.
331
APPENDIX rv— Index of Crime, Metropolitan Statistical Areas. 1990— Continued
Metropolitan Statistical Area
Population
Cnrae
Index
total
Modified
Crime
Index
total'
Violent
crime'
Property
crime'
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Aoo Arbor, Mi. MSA
(Includes Washtenaw County.)
City of Ann Arbor
Total area artually reporting
Rale per 100,000 inhabitants
Annistoo, Al. M.S.A
(Includes Calhoun County.)
City of Anniston
Total area actually reporting
Rale per 100.000 inhabitants
Appleton-Oshkosh-Neenah, Wi.
MSA.
(Includes Calumet, Outagamie and
Winnebago Counties.)
City of:
Appleton
Oshliosh
Neenah
Total area actually reporting
Rale per 100,000 inhabitants
Asherille, N.C. MSA
(Includes Buncombe County.)
City of Asheville
Total area actually reporting
Estimated total
Rate per 100,000 inhabiunts
Atlanta, G«. M5A.
(Includes Barrow, Butts, Cherokee,
Qayton, Cobb, Cowetta, De Kalb,
Douglas, Fayette, Forsyth, Fulton,
Gwinnett, Henry, Newton, Paulding,
Rockdale, Spalding and Walton
Counties.)
City of Atlanta
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Atlantic City, NJ. MSA.
(Includes Atlantic and
Cape May Counties.)
City of Atlantic City
Total area actually reporting
Rate per 100,000 inhabitants
Angmta, GI.-S.C. M,SjV
(Includes Columbia, McDuffie and
Richmond Counties, Ga., and Aiken
County, S.C.)
City of Augusta, Ga
Total area actually reporting
Rate per 100.000 inhabitants
Aurora-Elgin, 11. MSA.'
(Includes Kane and Kendall
Counties.)
City of
Aurora'
Elgin'
Total area actually reporting
Rate per 100,000 inhabitants
Austin, Tx. MSA.
(Includes Hays, Travis and
Williamson Counties.)
Cily of Austin
Total area aaually reporting
Rate per 100,000 inhabitants
Bakersfleld, Ct. M,SA.
(Includes Kern County.)
City of Bakersfleld
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
279,810
109,592
100.0%
116,034
26,623
100,0%
313,212
2.833,801
394,017
97.9%
100.0%
319,416
37,986
100.0%
396,809
44,639
100.0%
356.0*7
99,581
77,010
100.0%
781,572
9,212
19,006
6,792.5
4,199
6.026
5,193.3
65,695
2.840
55,006
3,262
23,219
987
100.0%
11,790
3,764.2
174,821
61,607
6,216
99,2%
9,054
100.0%
9.161
5,240.2
75.793
241,027
245,235
8,653.9
14,496
32,379
10,136.9
5,342
26,241
6,613.0
465,622
54,543
100.0%
69,711
8,9193
543,477
174,820
14,091
99.8%
34,859
100.0%
34,931
6,427.3
580
1,790
639.7
851
1,109
955.8
33
93
20
266
84.9
404
571
583
333.5
16,097
28,568
28,908
1,0201
1,399
2,863
896.3
489
2,700
680.4
3,326
4,412
564.5
1,695
4,637
4,646
854.9
8,632
17,216
6,152.7
3,348
4,917
4,237.6
2,807
3,169
967
11,524
3,679.3
5,812
8,483
8,578
4,906.7
59,696
212,459
216,327
7,633.8
13,097
29,516
9,240.6
4,853
23,541
5,932.6
5,849
3,935
16,051
4,507.9
51,217
65,299
8,354.8
12,396
30,222
30,285
5,572.5
6
12
103
7
II
II
6.3
231
383
387
13.7
14
23
7.2
24
67
16.9
II
3
13
3.7
46
57
7.3
25
60
60
1 1.0
63
258
92.2
32
44
37.9
34
57
58
33.2
695
1,834
1,863
65.7
69
211
66.1
37
223
56.2
280
434
55.5
65
265
265
48.8
125
374
133.7
119
151
1301
1
29
93
148
171
174
995
6,109
11,235
11,364
401.0
662
996
311.8
277
1,036
261.1
245
115
402
112.9
1,461
1,592
203.7
525
1,071
1,074
197.6
391
1,150
411.0
694
902
777.4
23
84
19
220
70.2
215
332
340
194.5
9,062
15,116
15,294
539.7
654
1,633
511.2
151
1,374
346.3
535
220
893
250.8
1,539
2,329
298.0
1,080
3,241
3,247
597.4
1,453
3,080
1,100.7
1,066
1,474
1,270.3
479
447
106
1,945
621.0
1,573
2,713
2,739
1,566.7
15,519
52,457
53,399
1,884.4
1,401
5,322
1.666.2
1,677
7,662
1,9309
1,603
963
3,887
1,091.6
11,371
15,144
1,937.6
3,357
8,760
8,775
1,614.6 I
6,811
12,981
4,639.2
2,063
3,121
2,689.7
2,280
2,629
840
9,284
2,964.1
3,856
5,177
5,241
2,997.9
33,020
129,734
132,215
4,665.6
11,174
22,840
7,1505
2,742
13,467
3,393.8
3.944
2,702
11,393
3,199.7
35,955
45,511
5,823.0
7,792
18,656
18,694
3,439.7
368
1,155
412.8
219
322
277.5
48
93
21
295
94.2
383
593
598
342.1
11,157
30,268
30,713
l,083.f
522
1,354
423.9
434
2,412
607.f
302
270
771
216.5
3,891
4.644
594.2
1,247
2,806
2,816
518.1
See footnotes at end of table.
332
APPENDIX IV— Index of Crime. Metropolitan Statistical Areas. 1990— Continued
MetropoUtan Stalistical Area
Population
Cnme
Index
total
Bildmon, Md. M5A.
2382,172
(Includes Baltimore City and Anne
Arundel, Baltimore, Carroll, Harford.
Howard and Queen Anne's Counties.)
City of Baltimore
736 014
77 989
Total area actually reporting
100.0%
161,149
Rale per 100,000 inhabitants
6,764.8
Bufor, Me. MSA
66,572
(Includes part of Penobscot and
Waldo Counties.)
City of Bangor
31 163
2044
Total area actually reporting
100.0%
2,981
Rate per 100,000 inhabitants
4,477.9
Baton Route, l«. MSA
S2S,264
(Includes Ascension, East Baton
Rouge, Livingston and West Baton
Rouge Panshes.)
City of Baton Rouge
233,680
28 939
Total area aaually reporting
94.7%
42,436
Estimated total
100.0%
44,369
Rate per 100.000 inhabitants
8,399.0
3*1,226
(Includes Hardin, Jefferson and
Orange Counties.)
City of
Beaumont
114,323
13,099
Port Arthur
67,914
5,565
Total area actually repotting
100,0%
27,224
Rate per 100,000 inhabitants
7,536.6
BeiTer County, Ft. MSA
185,346
(Includes only Beaver County.)
Total area actually reporting
100.0%
4,250
Rate per 100,000 inhabitants
2,293.0
BeUlngham, Wi. M5jI.
127,780
(Includes Whatcom County.)
City of Bellingham
52,179
4.048
Total area actually repotting
100.0%
6,582
Rate per 100,000 inhabitants
5,151.0
Bcnon Harbor, Mi. MSA.
16U78
(Includes Bemen County.)
City of Benton Harbor
12,818
2,905
Total area actually reporting
100.0%
11,985
Rate per 100,000 inhabitants
7,426.7
Befjen-PaMaic NJ. MSA
1,278,440
(Includes Beigen and Passaic
Counties.)
Total area actually reporting
100.0%
58,839
Rate per 100,000 inhabitants
4,602.4
BUUifs, ML MSA.
113.471
(Includes Yellowstone County.)
City of BiUings
81 151
5 861
Total area aaually reporting
100.0%
6,685
Rate per 100,000 inhabitants
5,891.4
Biii(huilon, N,Y. MSA
265X
(Includes Broome and Tioga
Counties.)
City of Binghamlon
53 008
2 893
Total area actually reporting
89.9%
8,041
Estimated total
100.0%
9,061
Rate per 100,000 inhabitants
3,414.6
IHniili>|h.m, At ^^K\
907 810
(Includes Blount. Jefferson, St. Clatr,
Shelby and Walker Counties.)
City of Birmingham
265,968
29,952
Total area actually reporting
97.6%
*54,995
Estimated total
100.0%
56,343
Rate per 100,000 inhabitants
6,206.5
Btanurek, NJ), MSA
83,831
(Includes Burleigh and Morton
Counties.)
49,256
2.085
Total area actually reporting
98.9%
3,023
Estimated total
100.0%
3,067
Rate per 100,000 inhabitants
3,658.6
Modified
Crime
Index
total'
Violent
cnrae^
17,942
28,256
1,186.1
38
72
108.2
4,335
5,366
5,567
1,053.8
1,843
1,034
3,600
996.6
573
309.2
157
349
273.1
812
1,736
1,075.7
5.338
417.5
99
132
116.3
97
420
509
191.8
4,193
7.487
7.660
843.8
30
53
53
63.2
Property
60,047
132,893
5,578.6
2,006
2,909
4,369.7
24,604
37,070
38,802
7.345.2
11,256
4,531
23,624
6,540.0
Murder
and non-
negligent
man-
slaughter
305
371
15.6
3
3
4.5
49
65
67
12.7
3,677
1.983.9
5
2.7
3.891
6,233
4.877.9
2
1.6
2,093
10,249
6,350.9
II
18
11.2
53,501
4,184.9
32
2.5
5,762
6,553
5,775.0
7
II
9.7
2,796
7,621
8,552
3,222.7
5
9
10
3.8
25.759
47.508
48,683
5,362.7
125
174
176
19.4
2,055
2,970
3,014
3,595.3
3
3
3.6
Forcible
rape
687
1,216
51.0
10
15
22.5
112
182
193
36.5
126
59
250
69.2
38
20.5
28
80
62.6
48
210
1 30. 1
194
15.2
34
36
31.7
21
53
57
21.5
267
408
416
45.8
5
9
9
10.7
Robbery
9,477
11,898
499.5
II
14
21.0
827
1,001
1,053
199.3
562
253
1,022
282.9
94
50.7
46
54
42.3
107
213
132.0
2,517
196.9
48
55
48.5
46
72
98
36.9
1,799
2,574
2,608
287.3
3
4
4
4.8
Aggra-
vated
assault
7,473
14,771
620.1
14
40
60.1
3,347
4,118
4,254
805.3
1,136
713
2,289
633.7
436
235.2
83
213
166.7
646
1,295
802.5
2,595
203.0
10
30
26.4
25
286
344
129.6
2,002
4,331
4.460
491.3
22
37
37
44.1
Burglary
14.753
31.420
1.319.0
336
485
728.5
6.152
9,298
9,670
1,830.5
3,842
1.777
7.963
2.204.4
829
447.3
549
1,116
873.4
807
2,590
1.604.9
9.945
777.9
1.254
1.105.1
349
1.337
1.512
569.8
6,958
12,618
12.893
1.4202
298
383
388
462.8
Larceny-
theft
35,383
82,725
3,472.7
1,593
2.323
3.489.5
15,291
23,881
25,100
4,751.4
6,151
2,359
13,588
3,761.6
2,553
1,377.4
3,142
4,799
3,755.7
1,135
7,103
4,401.5
34,136
2,670.1
4,304
4.866
4.288.3
2.336
5.872
6.539
2.464.2
13,728
27.592
28.411
3.129.6
Motor
vehicle
theft
9.911
18.748
787.0
77
101
151.7
3,161
3,891
4,032
763.3
1,263
395
2,073
573.9
295
159.2
200
318
248.9
151
556
344.5
9.420
736.8
369
433
381.6
111
412
501
5.073
7.298
7.379
812.8
1.658
99
2.452
135
2,489
137
,969.1
163.4
S« footnotes at end of table.
333
APPENDIX IV— Index of Crime, Metropolitan Statistical Areas, 1990 — Continued
Metropolitan Statistical Area
Population
Cnme
Index
total
Modified
Cnme
Index
total'
Violent
crime^
Property
crime'
Murder
and non-
negligent
man-
slaughter
Forable
rape
Robber>'
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Blooinmgton. lo. M^A.
(Includes Monroe County.)
City of Bloomington
Total area actually reporting
Rate per 100,000 inhabitants ....
Bkwmiiigtai-Noniial, U. .M^A.'
(Includes McLean County.)
City of:
Bloommgton*
Normal*
Total area actually reporting
Rate per 100,000 inhabitants ,.,.
Boise, Id. .NtSjV.
(Includes Ada County.)
City of Boise
Total area actually reporting
Rate per 100,000 inhabitants ....
Boston, Ma. M5X
(Includes pan of Bnstol, 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 ,...
Bottlder-LongmoDt, Co. M.SA.
(Includes Boulder County.)
City of:
Boulder
Longmont
Total area actually reporting
Rate pet 100,000 mhabitants ....
Bndeoton, R MSJ^
(Includes Manatee County.)
City of Bradenton
Total area actually reporting
Rate per 100.000 inhabitanu ....
Bnuoria, Tx. .VLSA.
(Includes Brazona County.)
Total area actually reporting
Rate per 100,000 inhabitants ....
BremertOQ, Wa. ,M,SA.
(Includes Kitsap County.)
City of Bremerton
Total area actually reporting
Rate per 100.000 inhabitants ....
Bridgepon-Milford, Ct. MS.\.
(Includes pan of Fairfield and Ne»
Haven Counties.)
City of:
Bndgeport
Milfonl
Total area actually reporting
Rate per 100,000 inhabitants ....
BristoL Cl MSA.
(Includes pan of Hartford and
Litchfield Counties.)
City of Bnstol
Total area actually reporting
Rale per 100.000 inhabitants ....
Brownvilk-Htrlingei, Tx. StSA. ....
(Includes Cameron County.)
City of:
Brownsville
Harlingen
Total area actually reporting
Rate per 100.000 inhabitants ....
108,978
60,633
100.0%
129,180
51,972
40.023
100.0%
20S,T75
125,738
100.0%
2,884,543
574,283
89.8%
100.0%
225J20
83,312
51,555
100.0%
211,7(n
43.779
100.0%
191,707
100.0%
189,731
38,142
100.0%
4S3,601
141,686
49,938
100.0%
72,4*2
60.640
100.0%
2«0,120
98.962
48,735
100.0%
2,813
4,103
3,765.0
6,989
9,728
4,727.5
68,057
150,952
161,916
5,613.2
6,041
2,974
13.192
5,854.8
4,704
16.448
7,769.2
7,744
4,039.5
3,017
8,451
4,454.2
17,784
2,649
29,227
6.443.3
2.257
2.649
3,655.7
9,163
3,842
17,250
6,631.6
286
324
297.3
476
644
313.0
13,664
23,814
24,922
864.0
183
184
619
274.7
706
2,185
1,032.1
752
392.3
215
542
285.7
2,888
78
3,467
764.3
175
185
255.3
773
287
1,422
546.7
2,527
3,779
3,467.7
2,553
1.537
5.186
4,014.6
6.513
9,084
4,414.5
54,393
127.138
136.994
4,749.2
5,858
2,790
12,573
5,580.1
3,998
14,263
6,737.1
6,992
3,647.2
2,802
7,909
4,168.5
14,896
2.571
25,760
5.679.0
2,082
2,464
3,400.4
8,390
3,555
15,828
6,084.9
143
172
175
6.1
57
1
63
13.9
13
4
37
14.2
13
17
15.6
52
73
35.5
539
890
938
32.5
19
22
107
47.5
29
104
49.1
46
111
58.5
79
9
110
24.3
12
14
193
36
6
53
20.4
22
31
28.4
34
26.3
43
55
26.7
6,022
8,581
8,812
305.5
32
26
70
31.1
211
593
280.1
72
37.6
59
96
50.6
1.770
42
2,030
447.5
44
46
63.5
172
36
237
91.1
251
276
253.3
136
52
216
167.2
378
512
248.8
6,960
14.171
14,997
519.9
131
136
436
193.5
457
1,468
693.4
608
317.2
106
328
172.9
982
26
1,264
278.7
119
124
171.1
552
241
1,095
421.0
425
636
583.6
474
325
1,121
867.8
1,369
2,002
972.9
10,238
27,055
29,343
1,017.2
966
541
2,494
1,106.9
1.532
4,856
2,293.7
1,670
871.1
501
1,718
905.5
4,628
413
6,893
1,519.6
686
827
1,141.3
2,414
935
5,142
1,976,8
1,872
2,902
2,662.9
1,987
1,186
3,928
3,040.7
4,857
6,695
3,253.6
29.642
71,666
77,492
2,686.5
4.660
2.152
9,611
4,265.5
2,239
8,323
3,931.4
4.742
2,473.6
2,146
5,752
3,031.7
5,403
1,706
12.079
2,662.9
1,235
1,443
1,991.4
4.908
2,355
9,181
3,529.5
230
241
221.1
92
26
137
106.1
287
387
188.1
14,513
28,417
30,159
1,045.5
232
97
468
207.7
227
1.084
512.0
580
302.5
155
439
231.4
4,865
452
6,788
1,496.5
161
194
267.7
1.068
265
1,565
578.6
See footnotes at end of table.
334
APPENDIX rv— Index of Crime, Metropolitan Statistical Areas. 1990— Continued
Metropolitan Statistical Area
Population
Cnme
Indei
total
Modifjed
Crime
Indei
total'
Violent
cnme^
Propetty
cnme'
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglar)
Larcenv-
theft'
Motor
vehicle
theft
Bryu-Colkge Statioi, Tx. M.S.A-
(Includes Brazos County.)
City of:
Bryan
College Station
Total area actually repotting
Rate per 100,000 inhabitants
BriUo, N.Y. MSA.
(Includes Ene County.)
City of Buffalo
Total area actually reporting
Rate per 100.000 inhabitants
BorlingtoD. N.C. MSA.
(Includes Alamance County.)
City of Burlington
Total area actually reporting
Estimated total
Rale per 100,000 inhabitants
BurlingtoD, Vl MSA.
(Includes part of Chittenden, Franklin
and Grand Isle Counties.)
City of Burimgton
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Cuper, Wy. MSA.
(Includes Natrona County.)
City of Casper
Total area aaually reporting
Rate per 100,000 inhabitants
Cedir Rapids, la. MSA.
(Includes Linn County.)
City of Cedar Rapids
Total area aaually reporting
Rate per 100,000 inhabitants
Cbimpaign-Urbaiu-Rintool. D.
MS.A.
(Includes Champaign County.)
City of:
Champaign'
Urbana'
Rantoul'
Total area aaually repotting
Estimated total
Rale per 100,000 inhabitants
Charleston, S.C. M,S.A.
(Includes Berkeley, Charleston and
Dorchester Counties.)
City of Charleston
Total area actually repotting
Rale per 100,000 inhabitants
Charleston. W.V. MSA.
(Includes Kanawha and Putnam
Counties.)
City of Charleston
Total area aaually reporting
Rate per 100,000 inhabitants
Chtriolte-Castooia-Rock Hill,
N.C.-S.C. MSA.
(Includes Cabarrus, Gaston. Lincote,
Mecklenburg, Rowan and Union
Counties, N.C. and York County. S.C.)
City of:
Charlotte. N.C
Gastonia, N.C.
Rock Hill, S.C
Total area aaually repotting
Esumated total
Rate per 100.000 inhabitanu
I21.M2
55.002
4.360
52,456
2.402
100.0%
7.834
6.428.6
970.493
328,123
29.181
100.0%
52.330
5.392.1
i(n.«54
39.498
2.817
98.3%
4.973
100.0%
5.122
4,757.8
107.818
39,127
3.717
84.7%
6.547
100.0%
7,731
7,170.4
61,226
46,742
2,632
100.0%
3.326
5.432.3
168,767
108.751
7.256
100.0%
8.948
5,302.0
173,025
63.502
36,344
17.212
99.4%
100.0%
506,875
80.414
100.0%
249,756
57.287
100.0%
1,162,093
5.916
35.361
6,976.3
6,063
9,976
3,994.3
J95.934
49.862
54.732
7.583
41.643
4.364
99.5%
91,938
100.0%
92,438
7,954.4
518
120
649
532.6
5.275
7.387
761.2
430
634
650
603.8
75
120
142
131.7
229
287
468.8
245
402
238.2
806
4.762
9395
508
727
291.1
9.119
904
837
14.026
14,079
1.211.5
3,842
2,282
7,185
5.896.0
23.906
44.943
4,630.9
2.387
4.339
4.472
4.154.0
3.642
6,427
7,589
7,038.7
2,403
3,039
4.963.6
7,011
8,546
5.063.8
4.301
1,767
606
9,032
9,076
5,245.5
5,110
30,599
6.036.8
5,555
9,249
3,703.2
40.743
6.679
3,527
77.912
78.359
6.742.9
37
44
4.5
5
13
13
12.1
1
3
4.9
4
4
2.3
7
38
7.5
16
6.4
93
5
4
164
165
14.2
46
58
47.6
355
421
43.4
13
22
23
21.4
21
39
46
42.7
11
20
32.7
14
19
11.3
51
336
66.3
41
83
33.2
384
16
43
584
587
50.5
125
25
152
124.7
2.172
2,452
252.7
50
71
75
69.7
16
19
22
20.4
21
25
40.8
73
78
46.2
131
26
9
192
193
II 1.5
252
919
181.3
179
221
88.5
3,208
270
110
4,027
4,040
347.6
345
87
437
358.6
2,711
4,470
460.6
362
528
539
500,7
36
59
70
64.9
196
239
390.4
157
303
179.5
405
105
43
640
642
371.0
496
3,4«9
684.4
280
407
163.0
5,434
613
680
9,251
9.287
799.2
1.135
491
1.828
1.500.1
8.163
12,005
U37.0
418
1,043
1,079
1.002.3
819
1,327
1.567
1.453.4
527
697
1,138.4
1.310
1,721
1,0197
890
379
82
1.848
1.856
1.072.7
l.OOO
7.102
1.401. 1
1.174
2.249
900.5
10,891
1,946
788
22,670
22,790
1,961.1
2,519
1,648
4,997
4,100.5
12,203
27,569
2,840.7
1,836
3,054
3.144
2.920.5
2.643
4,798
5.665
5,254.2
1.772
2.197
3,588.3
5.366
6.448
3.820.7
3,202
1,334
510
6,829
6,861
3,965.3
3.645
20,891
4.121.5
4,102
6,374
2,552.1
27,153
4,390
2,572
50,583
50,887
4,378.9
18
143
360
295.4
3,540
5.369
553.2
133
242
249
231.3
18
302
357
331.1
104
145
236.8
335
377
223.4
209
54
14
355
359
207.5
465
2,606
514.1
279
626
250.6
2.699
343
167
4,659
4.682
402.9
See footnotes at end of table.
335
APPENDIX IV— Index of Crime, Metropolitan Statistical Areas, 1990 — Continued
Metropolilan Statistical Area
Population
Cnme
Index
total
Modified
Crime
Index
total'
Violent
crime^
Property
crime'
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
valed
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
CbarkXtnTilk, Vt. MSA.
(Includes Albemarle, Fluvanna and
Greene Counties and Charlottesville
City.)
City of Charlottesville
Total area actually repotting
Rate per 100,000 inhabitants
ChatOMoga, Ti.-Ga- M,SjL
(Includes Hamilton, Marion and
Sequatchie Counties, Tn.. and Catoosa,
Dade and Walker Counties, Ga.)
City of Chattanooga, Tn.
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Cbejtoe, Wy. MSA.
(Includes Laramie County.)
City of Cheyenne
Total area actually reponing
Rate per 100,000 inhabitants
cbiMjo, a msjl'
(Includes Cook, Du Page and
McHenry Counties.)
City of Chicago'
Total area actually reporting
Rate per lOO.OOO inhabitants
Estimated total
Rate per 100,000 inhabitants
Chico, Ca. MSA.
(Includes Butte County.)
City of Chico
Total area actually reporting
Rate per 100,000 inhabitants
Cbduali, Oh--Ky.-Ii. MSA.
(Includes Oermont, Hamilton and
Warren Counties, Oh., Boone.
Campbell and Kenton Counties, Ky.,
and Dearborn County, In.)
City of Cincinnati, Oh
Total area actually repotting
Estimated total
Rate per 100,000 inhabitants
ClarksTille-HopkiisTillc TiL-Ky. IVLSjL .
(Includes (Thnstian County, Ky., and
Montgomery County, Tn.)
City of:
Clarksville, Tn
Hopkinsville, Ky
Total area actually reporting
Rate per 100,000 inhabitants
Clereliid, Oh. M.SjL
(Includes Cuyahoga, Geauga, Lake
and Medina Counties.)
City of Oeveland
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Cokndo Sprints. Co. NLSX
(Includes H Paso County.)
City of Colorado Springs
Total area actually reporting
Estimated total
Rale per 100,000 inhabitanu
CotartU, Mo. MSA.
(Includes Boone County.)
City of Columbia
Total area aaually reporting
Rale per 100,000 inhabitants
CotanUi, S.C. M.S.A.
(Includes Lexington and Richland
Counties.)
City of Columbia
Total area actually reporting
Rite per 100,000 inhabitants
131,107
40,341
100.0%
43V*i
6,024.581
2,783,726
100.0%
100.0%
182,120
40,079
100.0%
1,452,938
364,040
94.1%
100.0%
169.439
75,494
29,809
100.0%
1.831,122
2.540
5,056
3,856.4
52,466
19,481
93.2%
27,878
100.0%
28,776
6,649.6
73,142
50,008
2,864
100.0%
3,369
4,606.1
3.076
8,683
4,767.7
27,507
67,184
70,783
4,871.7
4,989
1,408
7,763
4.581.6
505,616
46,085
88.4%
80,954
100.0%
88.564
4,836.6
397,014
281,140
21,017
99.8%
24,601
100.0%
24,647
6,208.1
112J79
69,101
4.469
100.0%
5,998
5,337.3
243
385
293.7
3,469
4,088
4,165
962.5
58
124
169.5
453.751
98,052
100.0%
12,645
32,368
7,133.4
234
820
450.3
4,476
7,313
7,532
518.4
1,165
193
1,578
931.3
9,190
11,376
11,855
647.4
1.184
1.506
1,510
380.3
344
498
443.1
1,961
5.225
1,151.5
2,297
4,671
3,562.7
16,012
23,790
24,611
5,687.2
2,806
3,245
4,436.6
228,829
365,640
6,069.1
365,709
6,070.3
2,842
7,863
4,317.5
23,031
59,871
63,251
4,353.3
3,824
1,215
6,185
3,650.3
36,895
69,578
76,709
4,189.2
19,833
23,095
23,137
5,827.8
4,125
5,500
4,894.2
10.684
27,143
5,981.9
5
6
4.6
32
45
46
10.6
851
937
15.6
937
15.6
168
202
207
11.3
9
10
10
2.5
22
55
12.1
23
44
33.6
180
228
235
54.3
9
13
17.8
40
77
42.3
388
666
687
47.3
42
14
69
40.7
846
1.026
1,073
58.6
201
240
240
60.5
20
23
20.5
103
336
74.0
70
83
63.3
961
1,103
1,115
257.7
9
9
12.3
37,156
40,508
672.4
40,510
672.4
39
103
56.6
1,613
2,174
2,229
153.4
68
28
105
62.0
4,917
5,845
5,979
326.5
258
283
284
71.5
75
78
69.4
518
1.308
288.3
145
252
192.2
2,296
2,712
2,769
639.9
39
100
136.7
41,114
46,067
764.7
46,070
764.7
152
626
343.7
2,426
4,399
4,540
312.5
1,050
147
1,394
822.7
3,259
4,303
4,596
251.0
716
973
976
245.8
248
395
351.5
1,318
3,526
777.1
345
746
569.0
4,603
7,021
7,276
1,681.4
228
317
433.1
50,203
74,344
1,234.0
74,357
1,234.2
610
2,256
1,238.7
5,896
12,553
13,161
905.8
899
317
1.594
940.8
10,198
15,945
17,264
942.8
4,064
4,997
5,005
1,260.7
741
1,026
913.0
1,967
6,398
1,410.0
1,832
3,707
2,827.5
9,215
13,867
14,367
3,320.0
2,510
2,837
3,878.8
130,000
228,347
3,790.3
228,397
3,791.1
2,005
5,007
2,749.3
15,458
43,685
46,170
3,177.7
2,733
836
4,261
2,514.8
15,289
37,086
42,308
2,310.5
14,614
16,784
16,816
4,235.6
3,242
4,306
3,831.7
7,563
17.754
3,912.7
120
218
166.3
2,194
2,902
2,968
685.9
68
91
124.4
48,626
62,949
1,044.9
62,955
1.045.0
227
600
329.5
1,677
3,633
3,920
269.8
192
62
330
I94.i
11.408
16,547
17,137
935.9
1,155
1,314
1,316
331.5
142
168
149.5
1,154
2,991
659.2
See footnotes at end of table.
336
APPENDIX IV— Index of Crime, Metropolitan Statistical Areas, 1990— Continued
MetropoliUn Statistical Area
Colmnbas, Ga.-Al. MSA
(Includes Chattahoochee and
Muscogee Counties, Ga., and
RusseU County. Al.)
City of Columbus, Ga.
Total area actually repotting ...
Rate per 100.000 inhabitants ..
Columbia, Oh. M5A
(Includes Delaware. Fairfield,
Franklin. Licking. Madison,
Pickaway and Union Counties.)
City of Columbus
Total area actually repotting ...
Estimated total
Rate per 100,000 inhabitants ..
Corpus Christl, Tx. M.SA.
(Includes Nueces and San Patricio
Counties.)
City of Corpus Christi
Total area actually reporting ...
Rate per 100,000 inhabitants ..
CmnberUiKl, Mi-W.V. MSA.
(Includes Allegany County. Md.,
and Mineral County, W.V.)
City of Cumberland. Md
Total area aaually reporting ...
Rate per 100.000 inhabitants . .
Dtll«»,Tx. MSA.
(Includes Collin. Dallas. Denton.
EUis, Kaufman and Rockwall
Counties.)
City of Dallas
Total area actually reporting . . . .
Rate per 100,000 inhabitants ...
Dubiry, Ct MSA.
(Includes part of Fairfield and
Litchfield Counties.)
City of Danbury
Total area aaually reporting . . . .
Rale per 100,000 inhabitants ...
DuTilk, Va. MSA.
(Includes Pittsylvania County and
Danville City)
City of Danville
Total area actually reporting
Rate per 100,000 inhabi(ants . . .
OiTenport-Rock blud-MoUne, U-D.
MSA.'
(Includes Scott County, la.,
and Henry and Rock Island
Counties, D.)
City of:
Davenport, la
Rock Island, U."
Moline, 11.'
Total area actually reporting . . . .
Rate per 100,000 inhabitants . . .
Dtytos-Springfidd, Oh. MSA.
(Includes (Tlark, Greene, Miami
and Montgomery Counties.)
City of
Dayton
Springfield
Total area actually reporting . . . .
Estimated total
Rate per 100,000 inhabitants ...
Diytona Beach, R MSA.
(Includes Volusia County.)
City of Daytona Beach
Total area actually reporting
Rate per 100,000 inhabitants ...
Population
M3,072
179,278
100.0%
1J77,4I9
632,910
88.7%
100.0%
350,792
257,453
100.0%
101,643
23,706
100.0%
2,460,620
1,006,877
100.0%
162J66
65,585
100.0%
108,711
53,056
100.0%
350,861
95.333
40,552
43,202
100.0%
951,835
Cnme
Index
total
12,019
14,733
6,061.2
62,703
88,715
94,118
6,832.9
26,535
30,474
8,687.2
1,405
2,863
2,816.7
156,267
253,361
10,296.6
3,352
5,084
3,127.3
2,144
3,045
2,801.0
Modified
Crime
Index
total'
!,595
18,434
5,253.9
182,044
20,895
70,487
6,963
93.5%
54,748
100.0%
56.623
5.948.8
370,712
61,921
10,421
100.0%
26,509
7,150.8
Violent
cnme^
1,036
1,479
608.5
7,022
8,570
8,918
647.4
1,607
1,894
539.9
130
251
246.9
24,550
31,100
1.263.9
162
224
137.8
151
232
213.4
Property
crime'
1.028
1,747
497.9
3,089
1.395
6,247
6,378
670.1
1,476
3,129
844.1
10,983
13,254
5,452.7
55,681
80,145
85.200
6.185.5
24.928
28.580
8,147.3
1,275
2,612
2,569.8
131,717
222,261
9,032.7
3.190
4,860
2,989.6
1.993
2,813
2,587.6
Murder
and non-
negligent
man-
slaughter
7,567
2,349
2,395
16,687
4,756.0
17,806
5,568
48,501
50,245
5,278.8
8,945
23.380
6.306.8
23
29
11.9
89
106
no
8.0
29
33
9.4
447
526
21.4
Forcible
rape
4
12
11.0
47
4
63
64
6.7
9
21
5.7
93
116
47.7
647
800
835
60.6
240
259
73.8
9
23
22.6.
1,344
1,880
76.4
Robbery
14
21
12.9
II
20
18.4
85
24.2
321
71
603
617
64.8
74
186
50.2
456
523
215.2
3,541
4,118
4,213
305.9
446
476
135.7
9
17
16.7
10,565
12,030
488.9
60
70
43.1
43
52
47.8
Aggra-
vated
assault
184
85
24
324
92.3
1,475
312
2,157
2,190
230.1
494
861
232.3
464
811
333.6
2.745
3.546
3,760
273.0
892
1,126
321.0
112
211
207.6
12,194
16,664
677.2
132
81.2
93
148
136.1
Burglary
761
265
121
1,332
379.6
1,246
1,008
3,424
3,507
368.4
899
2,061
556.0
2,549
3,151
1,2963
14,828
19,876
20,829
1,512.2
6,131
7,565
2,1565
266
598
588.3
32,975
54,679
2,222.2
613
1,031
634.2
320
568
522.5
Larceny-
theft
1,777
523
438
3,671
1,046.3
4,678
1,072
10,255
10,616
1,115.3
2,948
7,488
2,019.9 I
7,673
9,166
3,770.9
32,387
50,257
53,941
3,9161
17,548
19,605
5,588.8
981
1,935
1,903.7
74,229
134,703
5,474.4
2,267
3,383
2,081.0
1,558
2,077
1,910.6
Motor
vehicle
theft
5.444
1.782
1,880
12,408
3,536.4
10,155
4,194
33,062
34,301
3,603.7
5,214
14,399
3,8841
761
937
385.5
8,466
10,012
10,430
757.2
1,249
1,410
401.9
28
79
77.7
24,513
32,879
1,336.2
310
446
274.4
115
168
154.5
346
44
77
608
173.3
2,973
302
5,184
5,328
559.8
783
1.493
402.71
See footnotes at end of table.
337
APPENDIX IV— Index of Crime, Metropolitan Statistical Areas, 1990 — Continued
Metropolitan Statistical Area
Population
Cnme
Index
total
ModiHed
Crime
Index
total'
Violent
crime'
Property
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
DecUiir, Al. M.S-A
(Includes Lawrence and Morgan
Counties.)
City of Decatur
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Deator, U. M5A.'
(Includes Macon County.)
City of Decalur*
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Denier, Co. MSA
(Includes Adams, Arapahoe, Denver,
Douglas and Jefferson Counties.)
City of Denver
Total area artually reporting
Rate per 100,000 inhabitants
D« Moines, U. M-SA
(Includes Dallas, Polk and Warren
Counties.)
City of Des Moines
Total area actually reporting
Rate per 100,000 inhabitants
Detroit, Mi. MSJl.
(Includes Lapeer, Livingston,
Macomb, Monroe, Oakland, St. Gair
and Wayne Counties.)
City of Detroit
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Dothan, Al. MSA.
(Includes Dale and Houston
Counties.)
City of Dothan
Total area actually reporting
Estimated total
Rale per 100,000 inhabitants
Dalirth, MB.-WL M.S.A.
(Includes St. Louis County, Mn.,
and Douglas County, Wi.)
City of Duluth, Mn
Total area actually reporting
Rate per 100,000 inhabitants
Eiu Claire, WI. MSA.
(Includes Chippewa and Eau Claire
Counties.)
City of Eau Qaire
Total area actually reporting
Rate per 100,000 inhabitants
ElUurt-Coshen, In. MSA
(Includes Elkhart County.)
City of:
Elkhart
Goshen
Total area actually reporting
Rate per 100,000 inhabitants
Elmlra, N.Y. MSA.
(Includes Chemung County.)
City of Elmira
Total area actually reporting
Rate per 100,000 inhabitants
El Paso, Tx. MSA
(Includes El Paso Countyit
City of El Paso
Total area actually reporting
Rale per 100,000 inhabitants
Enid, Ok. MSA
(Includes Garfield County.)
City of Enid
Total area actually reporting
Rate per 100,000 inhabitants
13M5I
48,761
99.1%
100.0%
117,206
83,885
99.2%
100.0%
1,615,613
467,610
100.0%
392,92«
193,187
100.0%
4J84,S13
1,027,901
97.7%
100.0%
130,964
53,589
98.9%
100.0%
239,971
85,493
100.0%
137,543
56,856
100.0%
156,198
3,538
4,800
4,876
3,712.2
36,269
107,035
6,625.0
17,695
25,863
6,582.1
125,325
298,940
304,661
6,948.6
6,770
8,164
8,257
6,304.8
4,717
9,544
3,977.1
3,037
5,171
3,759.6
43,627
3,815
23,797
1,200
100.0%
7,393
4,7331
95,195
33,724
2,265
100.0%
3,819
4,011.8
591,610
515,342
57,921
100.0%
60,858
10,286.8
56,735
45,309
3,264
100.0%
3,442
6,066.8
218
387
395
300.7
4,205
10,709
662.8
1,406
1,954
497.3
27,747
42,931
43,425
990.4
1,003
1,195
1,207
921.6
308
431
179.6
59
126
91.6
165
46
524
335.5
112
284
298.3
5,111
5,483
926.8
297
309
544,6
3,320
4,413
4,481
3,411.5
4,956
5,834
5,877
5,014.2
32,064
96,326
5,962.2
16,289
23,909
6,084.8
97,578
256,009
261,236
5,958.2
5,767
6,969
7,050
5,383.2
4,409
9,113
3,797.5
2,978
5,045
3,667.9
3,650
1,154
6,869
4,397.6
2,153
3,535
3,713.4
52,810
55,375
9,360.1
2,967
3,133
5,522.2
6.8
16
19
4.8
582
709
713
16.3
10
14
14
10.7
1
3
2.2
34
45
7.6
3
3
5.3
19
29
29
22.1
375
813
50.3
96
122
31.0
1,657
3,057
3,099
70.7
38
55
56
42.8
35
66
27.5
3
10
7.3
34
5
53
33.9
16
22
23.1
256
290
49.0
24
25
44.1
84
98
100
76.1
120
124
125
106.6
1,312
2,305
142.7
333
374
95.2
13,010
16,597
16,714
381.2
95
120
122
93.2
80
3
102
65.3
36
43
45.2
1,381
1,430
241.7
33
33
58.2
115
258
264
201.0
422
449
451
384.8
2,451
7,498
464.1
961
1,439
366.2
12,498
22,568
22,899
522.3
860
1,006
1,015
775.0
211
284
118.3
48
103
74.9
49
37
366
234.3
58
214
224.8
3,440
3,718
628.5
237
248
437.1
863
1,242
1,257
957.0
1,192
1,392
1,400
1,194.5
9,339
22,503
1,392' 8
2,772
4,165
1,060.0
26,063
52,533
53,397
1,217.9
1,245
1,545
1,564
1,194.2
689
1,857
773.8
543
956
695.1
567
150
1,323
847.0
404
642
674.4
9,565
10,558
1,784.6
763
838
1,477.0
2,287
2,939
2,987
2,274.1
3,639
4,290
4,321
3,686.7
16,792
63,702
3,942.9
12,673
18,622
4,739.3
41,139
152,361
156,121
3,560.7
4,322
5,163
5,219
3,985.1
3,368
6,616
2,757.0
2,322
3,895
2,831.8
2,933
956
5,270
3,373.9
1,647
2,750
2,888.8
37,609
39,004
6,592.9
2,116
2,204
3,884.7
170
232
237
125
152
156
133.1
5,933
10,121
626.4
844
1,122
285.5
30,376
51,115
51,718
1.179.6
200
261
267
203.9
352
640
266.7
113
194
141.0
150
48
276
176.7
102
143
150.2
5,636
5,813
982.6
91
160.4
See footnotes al end of table.
338
APPENDIX rv— Index of Crime, Metropolitan Statistical Areas, 1990— Continued
MetFopoUUii SUIislical Area
Population
Crime
Index
total
Modified
Cnme
Index
total'
Violent
cnme*'
Property
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Erie, Pt M5.A.
(Includes Enc County.)
City of Ene
Total area aaually reporting
Rate per 100.000 inhabitants
EipM-Sprlagfiekl, Or. MSJ^
(Includes Lane County.)
City of
Eugene
Springfield
Total area actually reporting
Rate per 100,000 inhabiunis
ETtuTllle, Iii.-Ky. M.S.A.'
(Includes Posey. Vanderburgh and
Warrick Counties, In., and Hcndcison
County, Ky.)
City of Evansville, In.'
Total area actually reporting
Estimated total
Rate per 100.000 inhabitanu
FiU RiTcr, M1.-RJ. MSA.
(Includes part of Bristol County.
Ma., and Newport County. R.I.)
City of Fall River, Ma
Total area actually repotting
Estimated total
Rate per 100,000 inhabitants
Ftrjo-MoocheKl, NJ).-Mii. MSA.
(Includes Cass County, N.D., and
Clay County, Mn.)
City of:
Fargo, N.D
Moorhead. Mn
Total area actually rtporting . . .
Rate per 100,000 inhabitants
FiyeneTiUe, N.C. MSA.
(Includes Cumberland County.)
City of Fayetteville
Total area actually reporting
Rate per 100.000 inhabitants
FiyetteTiIle-S|)rillgdlI^ Ai. MSA.
(Includes Washington County.)
City of
Fayetteville
Springdale
Total area actually reporting
Rate per 100,000 inhabitants
Fltchbori-Leomlnster, Ma. MSA.
(Includes pan of Middlesex and
Worcester Counties.)
City of
Fitchbutg
Leominster
Total area actually reporting
Estimated total
Rate per 100.000 inhabitanu
Fliit, Ml. MSA.
(Includes Genesee County.)
City of Flint
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Flonocs, AL M,SA.
(Includes Colberi and Lauderdale
Counties.)
City of Florence
Total area actually repotting
Estimated total
Rate per 100,000 inhabitants
Florenct, S.C. MSA.
(Includes Florence County.)
City of Florence
Total area actually reporting
Rate per 100,000 inhabitants
r75372
108.718
100.0%
2*2,912
112,669
44,683
100.0%
278,990
126,272
76.7%
100.0%
157,272
92,703
90.2%
100.0%
153,296
74,111
32,295
100.0%
274,566
75,695
100.0%
113,409
42,099
29,941
100.0%
102,797
13U27
5,989
9,914
3,597.6
9,026
2,844
15,398
5,442.7
7,897
11,738
14,276
5,117.0
7,295
8,861
9,434
5,998.5
3,606
1,839
6,032
3,934.9
11.055
24,461
8,909.0
2,680
1,553
5,324
4,694.5
41,194
2,124
38,145
1,694
91.1%
4,214
100.0%
4,553
4,429,1
430J77
140,761
18,963
98.9%
33,336
100.0%
33,596
7,806.2
36,426
2,400
99.2%
4,494
100.0%
4,556
3,469.2
114344
29,813
3,131
100.0%
7,592
6,639.6
710
916
332.4
463
181
912
322.4
927
1,454
1,620
580.7
768
856
914
581.2
109
33
166
108.3
1,744
2,869
1,044.9
145
50
243
214.3
249
242
499
533
518.5
3,533
4,926
4,948
1,149.7
289
429
437
332,8
519
1,307
1,143.0
5,279
8.998
3,265.2
8,563
2,663
14.486
5,1203
6,970
10,284
12,656
4,536.4
6.527
8,005
8,520
5,417.4
3
4
4
2.5
3,497
1.806
5,866
3,826.6
9.311
21.592
7.864.0
17
39
14,2
2,535
1 503
5
5,081
4,4802
9
7.9
1,875
1,452
1
3.715
4,020
3,910.6
1
1
1,0
15,430
28,410
28,648
6.656,5
55
73
73
17,0
2,111
4,065
4,119
3,136.4
2
II
II
8,4
2,612
6,285
5,496.6
5
19
16,6
77
113
41,0
76
25
140
49,5
50
79
97
34,8
52
54
57
36.2
60
5
68
44.4
96
205
74.7
23
6
38
33.5
24
12
36
37
36.0
161
305
307
71.3
10
17
17
12.9
315
335
121.6
197
50
285
100.7
158
185
217
77.8
220
237
249
158.3
14
3
18
11.7
418
713
259.7
34
30,0
36
12
48
55
53,5
925
1.208
1,213
281.8
38
51
53
40,4
164,4
316
463
168.0
189
105
482
1704
713
1.179
1,293
463.5
493
561
604
384.0
35
25
80
52.2
1.213
1,912
696.4
96
36
162
142.8
188
218
414
440
428,0
2,392
3.340
3,355
779,5
239
350
356
271,1
374
1,019
891.2
1.201
2,011
729.8
1,530
480
2,989
1,056.5
1.644
2,335
2,848
1,020.8
1,764
2,143
2,263
1,438.9
478
236
861
561.7
2,626
6,563
2,390.3
510
292
1,163
1,025.5
494
329
910
981
954,3
5,033
7,809
7,848
1,823,5
507
992
1,005
765,3
683
2,051
1,793,7
3.715
6,427
2,332.2
6,624
2,048
10,721
3,789.5
5,002
7,473
9,116
3,267.5
3,463
4,382
4,686
2,979.6
2,837
1,496
4,712
3,073.8
6,133
13,634
4,965.7
1.851
1,122
3,577
3,154.1
1,123
942
2.343
2,523
2.454.4
8,158
17,046
17,217
4.000,4
1,506
2,871
2,908
2,214.3
1,791
3,783
3,308.4
363
560
203.2
409
135
776
274.3
324
476
692
248.0
1.300
1,480
1,571
998.9
182
74
293
191. 1
552
1,395
508.1
174
89
341
300.7
258
181
462
516
502.0
2,239
3,555
3,583
832.5
98
202
206
156.9
138
451
394.4
See footnotes at end of ubic.
339
APPENDIX rv— Index of Crime, Metroi
ralitan Statistical Areas, 1990— Continued
Metropolitan Statistical Area
Population
Crime
Index
total
Modified
Crime
Index
total'
Violent
crime^
Property
crime'
Murder
and non-
negligent
man-
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
tbeft
Motor
vehicle
theft
Arson'
slaughter
Fort CoUins-IxmUiHt, Co. MSA.
186,13*
(Includes Larimer County.)
City of:
Fori Collins
87,758
4,796
381
4,415
2
56
21
302
766
3,492
157
Loveland
37,352
1,550
120
1,430
1
15
5
99
235
1,142
53
Total area actually reporting
100.0%
8,354
542
7,812
4
75
28
435
1,311
6,239
262
Rate per 100,000 inhabitants
4,488.1
291.2
4,196.9
2.1
40.3
15.0
233.7
704.3
3,351.9
140.8
Fort Landerdale-HoUywood-Pompano
B«icli,R M.SA
1.255,488
(Includes Broward County.)
City of:
Fort Lauderdale
149,377
25,566
2.427
23,139
31
114
1,306
976
6,305
14,409
2,425
HoUywood
121,697
12,822
1,138
11,684
11
48
501
578
2,554
7,704
1,426
Pomoano Beach
72,411
10,194
2,089
8,105
14
25
563
1,487
2,766
4,441
898
1 VftU^UAAV »*VW** ■•■••■•, i»it4i*.i.
Total area actually reporting
100.0%
111,074
12,771
98,303
120
493
5,164
6,994
25,200
61,954
11,149
Rale per 100,000 inhabitants
8,847.1
1,017.2
7,829.9
9.6
39.3
411.3
557.1
2,007,2
4,934.7
888.0
Fort Pierce, R M5jV
251,071
(Includes Martin and St. Lucie
Counties.)
City of Fort Pierce
36,830
5,346
1,011
4,335
19
56
315
621
1,407
2,405
523
Total at«a attually reporting
100.0%
16.466
1,952
14,514
27
130
519
1,276
4,637
8,721
1,156
Rate per 100,000 inhabitants
6,558.3
777.5
5,7808
108
51.8
206.7
508.2
1,846.9
3,473.5
460.4
Fort Smith, Ar.-Ok. M5A
175,911
(Includes Crawford and Sebastian
Counties, Ar., and Sequoyah
County, Ok.)
City of Fort Smith, Ar
72,798
6,043
544
5,499
6
47
68
423
1,109
3,978
412
Total area actually reporting
100.0%
8,135
670
7,465
9
67
79
515
1,874
5,064
527
Rate per 100,000 inhabitants
4,624.5
380.9
4,243.6
5.1
38.1
44.9
292.8
1,065.3
2,878.7
299.6
Fort Wayne, la. MSA
3*3,811
(Includes Allen, De Kalb and
Whitley Counties.)
City of Fort Wayne
173,072
16,055
1,326
14,729
17
95
475
739
2,449
10,951
1,329
Total area actually reporting
92.4%
19,560
1,478
18,082
20
115
520
823
3,347
13,160
1,575
Estimated total
100.0%
20,680
1,549
19,131
21
122
533
873
3,564
13.899
1,668
Rate per 100,000 inhabitants
5,684.3
425.8
5,258.5
5.8
33.5
1465
240.0
979.6
3,820.4
458.5
Fort Worth-Arlington, Tx. MSA
1,417,757
(Includes Johnson, Parker and
Tarrant Counties.)
City of:
Fort Worth
447,619
67,040
7,826
59,214
130
432
2,801
4,463
15,298
34,710
9,206
Arlington
261,721
22,309
1,876
20,433
8
139
586
1,143
4,498
13,192
2,743
Total area actually reporting
100.0%
133,002
12,541
120,461
167
829
4,008
7,537
29,574
74,779
16,108
Rate per 100,000 inhabitants
9,381.2
884.6
8,496.6
11.8
58.5
282.7
531.6
2,086.0
5,274.5
1,136.2
Fresno. Ca. M.SjL
6*7,490
(Includes Fresno Coimty.)
City of Fresno
354,202
37,296
4,399
32,897
66
258
1,592
2,483
7,137
18,623
7,137
Total area actually reporting
100.0%
55,036
6,799
48,237
92
427
1,904
4,376
11,232
28,159
8,846
Rate per 100,000 inhabitants
8,245.2
1,018.6
7,226.6
13.8
64.0
285.2
655.6
1,682.7
4,218.6
1,325.3
Gadsden, AI. MSA
99,401
(Includes Etowah County.)
City of Gadsden
42,523
4,020
671
3,349
6
23
85
557
888
2,230
231
Total area actually reporting
100.0%
5,338
814
4,524
9
32
101
672
1,250
2,960
314
Rate per 100,000 inhabitants
5,370.2
818.9
4,551.3
9.1
32.2
101.6
676.0
1,257.5
2,977.8
315.9
Giheston-Texas City, Tx. M.SA
217J99
(Includes Galveston County.)
City of:
Galveston
59,070
6,994
744
6,250
16
49
386
293
1,552
4,075
623
Texas City
40,822
4,084
276
3.808
4
24
122
126
911
2,583
314
Total area actually reporting
99.4%
16,590
1,456
15,134
29
HI
585
731
4,046
9,771
1,317
Estimated total
100.0%
16,684
7,674.4
1,464
673.4
15,220
7,001.0
29
13.3
112
51.5
587
270.0
736
338.5
4,066
1,870.3
9,829
4,521.2
1,325
609.5
Rate per 100,000 inhabitants
Guy-Hammond, In. MSA
604,52*
(Includes Lake and Porter Counties.)
City of:
Gary
116,646
11,361
2,479
8,882
65
150
620
1,644
3,073
2,834
2,975
Hammond
84,236
6,596
994
5,602
9
42
218
725
1,167
3,022
1,413
Total area actually reporting
95.3%
34,158
5,334
28,824
84
246
1,094
3,910
6,079
15,496
7,249
Estimated total
100.0%
35.684
5,437
30,247
85
252
1,111
3,989
6,286
16,608
7,353
Rate per 100,000 inhabitants
5,902.8
899.4
5,003,4
14.1
41.7
183.8
659.9
1,039.8
2,747.3
1,216.3
See footnotes at end of table.
340
APPENDIX rv— Index of Crime, Metropolitan Statistical Areas. 1990— Continued
MeiropollUn Statistical Area
Glens Falls, N.Y. MSA
(Includes Warren and Washington
Coiuities.)
City of Glens Falls
Total area actually reporting
Rale per 100,000 inhabiunls
Grud Forks, Ni). M^ji
(Includes Grand Forks County.)
City of Grand Forks
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Crud Rapids, Mi. MSA
(Includes Kent and Ottawa Counties.)
City of Grand Rapids
Total area aaually reporting
Rate per 100,000 inhabitants
Gmley, Co. MSA
(Includes Weld County.)
City of Greeley
Total area actually reporting
Rate per 100,000 inhabitants
Green Bay, Wi. MSA
(Includes Brown County.)
City of Green Bay
Total area actually reporting
Rate per 100,000 inhabitants
Greensboro- WinstOD-Salem-High
Point, N.C. MSA.
(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
Greenville-Spartanbnrg, S.C. MSA
(Includes Greenville, Pickens and
Spartanburg Counties.)
City of
Greenville
Spartanburg
Total area actually reporting
Rate per 100,000 inhabitants
Hajentown, Md. MSA.
(Includes Washington County.)
City of Hagerstown
Total area actually reporting
Rate per 100,000 inhabitants
Hamilton-Mlddlelown, Oh. MSA
(Includes Butler County.)
City of;
Hamilton
Middletown
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Hirtfonl, Ct MSA
(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. MSA.
(Includes Alexander, Burke and
Citawba Counties.)
City of Hickory
Total area actually repotting
Rate per 100,000 inhabitants
Population
118,539
943,206
183,521
143,485
69,496
99.9%
100.0%
641,769
Cnme
Index
total
15,023
967
100.0%
3,936
3,320.4
70,683
49,425
2,640
94.3%
3,159
100.0%
3,358
4,750.8
693,564
189,126
16,400
100.0%
35,590
5,131.5
131,840
60,536
4,819
100.0%
8,624
6,541.3
194,594
96,466
4.638
100.0%
7,800
4,008.3
58,282
6,818
43,467
6,377
100.0%
42,857
6,677.9
121,393
35,445
1,786
100.0%
3,180
2,619.6
291,424
61,368
46,022
77.6%
100.0%
771,654
139,739
100.0%
222,035
28,301
100.0%
14,332
16,360
6,793
54,699
54,748
5,804.5
4,713
2,700
13,039
14.846
5,094.3
21,528
43,689
5,661.7
3,362
9.733
4,383.5
Modified
Crime
Index
total'
Violent
crirae^
266
466
393.1
40
63
66
93.4
3.025
4,156
599.2
240
517
392.1
285
382
196.3
Properly
1,620
2,224
928
6,086
6,091
645.8
998
1,252
6,755
1,052.6
236
347
28S.8
840
140
1,256
1,391
477.3
4,107
5,377
696.8
293
1,045
470.6
701
3,470
2.927.3
2,600
3,096
3,292
4,657.4
13,375
31.434
4,532.2
4,579
8,107
6.149.1
4,353
7.418
3,812.0
12,712
14.136
5,865
48,613
48,657
5,158.7
5,820
5,125
36,102
5,625.4
1,550
2,833
2,333.7
3,873
2,560
11,783
13,455
4,617.0
17,421
38,312
4,964.9
3,069
Murder
and non-
negligent
man-
slaughter
3
4
2.1
Forcible
rape
3
2.5
2
12
13
4.5
19
27
3.5
8
31
262
16
28
29
41.0
378
651
93.9
27
69
52.3
17
22
11.3
8,688 25
I 3,912.9 I 1 1.3
114
169
36
419
419
44.4
49
42
329
51.3
12
20
16.5
40
19
75
90
30.9
160
277
35.9
9
48
21.6
Robbery
7
22
18.6
10
II
II
15.6
681
855
123.3
39
56
42.5
21
28
14.4
488
796
140
1,593
1,594
169.0
263
275
1,136
177.0
53
62
51.1
172
51
265
296
101.6
1,727
2,116
274.2
117
179
80.6
Aggra-
vated
assault
249
411
346.7
13
23
25
35.4
1,948
2,628
378.9
173
389
295.1
244
328
168.6
Burglary
998
1,235
746
4,001
4,005
424.6
673
926
5,237
816.0
171
262
215.8
620
68
904
992
340.4
2,201
2,957
383.2
160
793
357.2
122
764
644.5
302
336
359
507.9
3,743
6,892
993.7
981
1,836
1,392.6
550
956
491.3
2,767
4,606
1,823
15,155
15,167
1,608.0
1,314
1,127
8,943
1,393.5
323
657
541.2
1,236
557
2,801
3,174
1,089.1
5,281
9,784
1,267.9
817
2,756
1,241.2
Larceny-
theft
570
2,614
2,205.2
2,188
2.632
2,797
3,957.1
8.138
22,129
3,190.6
3.415
5,923
4,492.6
3,623
6,163
3.167.1
Motor
vehicle
theft
9.161
8.655
3.734
30,614
30,644
3,248.9
9
92
77.6
110
128
136
192.4
1,494
2,413
347.9
183
348
264.0
1
299
153.7
Arson'
784
875
308
2,844
2,846
301.7
4,182
324
3,695
303
24.921
2,238
3,883.2
348.7
1,147
80
2,015
161
1,659.9
132.6
2,293
344
1,865
138
8,275
707
9,438
843
3,238.6
289.3
9.244
2.896
23.699
4.829
3,071.2
625.8
2,066
186
5,437
495
2,448,7
222.9
See footnotes at end of table.
341
APPENDIX IV— Index of Crime, Metropolitan Statistical Areas, 1990 — Conrinned
Metropolitan Statistical Ana
Population
Cnme
Index
total
Modified
Crime
Index
total'
Violent
crime^
Property
crime'
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
vaied
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
HoaofaUii, HL MSJL
(Includes Honolulu County.)
Total area attually reporting
Rate per 100,000 inhabitants
Honstoii, Tx. MSA.
(Includes Fort Bend, Harris, Liberty.
Montgomery and Waller Counties.)
City of Houston
Total area actually reporting
Rate per 100.000 mhabitants
Hutlnttoii-Ashliiid, W.V.-Ky.-Oh.
M&A.
(Includes Cabell and Wayne Counties.
W.V., Boyd, Carter and Greenup
Counties, Ky., and Lawimcc County,
Oh.)
City of:
Huntington, W.V
Ashland, Ky
Total area actually reporting
Estimated total
Rale per 100,000 inhabitants
Hutsrilk, AL NLS,A.
(Includes Madison County.)
City of Huntsiille
Total area actually reporting
Rate per lOO.OOO inhabitants
IidkupoUa, In. M,SA.
(Includes Boone, Hamilton. Hancock,
Hendncks. Johnson. Marion, Morgan
and Shelby Counties.)
City of Indianapolis
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Iowa Chy, Ii. M-SjL
(Includes Johnson County.)
City of Iowa City
Total area actually reporting
Rate per 100.000 inhabitants
Jaduot, ML HSjL
(Includes Jackson County.)
City of Jackson
Total area actually reporting
Rate per lOO.OOO inhabitants
Jackaoo, Ms. M5A.
(Includes Hinds. Madison and Rankin
Counties.)
City of Jackson
Total area aaually reporting
Estimated total
Rate per 100,000 inhabitants
JidiaM, Ti. M^jt
(Includes Madison County.)
City of Jackson
Total area actually reporting
Rale per lOO.OOO inhabitants
Jiduonllk, R M&A.
(Includes Clay. Duval, Nassau and St.
Johns Counties.)
City of Jacksonville
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
JickjoavUle, N.C. M3A.
(Includes Onslow County.)
City of Jacksonville
Total area actually reporting
Rate per 100,000 inhabitants
83«,231
100.0%
3J0M37
1.630,553
100.0%
31M»
1,250,293
395J96
906,727
51,028
6,102.1
184,869
280,492
8,494.8
54,844
4,314
23,622
971
84.3%
8,921
100.0%
10.183
3,258.3
238,912
159,789
14,657
100.0%
16.151
6,760.2
483.549
32.635
81.8%
63.016
100.0%
72.119
5,768.2
96,119
59,738
2,806
100.0%
4,642
4,829.4
149,756
37,446
3,950
100.0%
7.433
4,963.4
96,637
21,559
95.9%
26,381
100.0%
27,193
6,877.4
77,9*2
50,594
5,275
100.0%
5,997
7.690.2
636.680
66.618
98.7%
81,886
100.0%
82,935
9,146.6
149,«3«
30.013
2,912
100.0%
5,637
3,762.1
2,412
288.4
22,637
31,052
940.4
318
50
689
788
252.1
889
1,094
457.9
6,224
7,676
8,266
661.1
277
458
476.5
1,365
911.5
1,699
1,950
2,006
507.3
855
937
1,201.6
11,654
13,562
13,684
1,509.2
276
406
271.0
48.616
5,813.7
162,232
249,440
7,554.4
3,996
921
8,232
9.395
3,006.1
13,768
15,057
6,302.3
26,411
55,340
63,853
5,107.0
2,529
4,184
4,352.9
3,064
6,068
4,051.9
19,860
24.431
25.187
6,370.1
4,420
5,060
6,488.7
54,964
68.324
69,251
7,637.5
2.636
5.231
3,491.1
34
4.1
568
697
21.1
7
3
15
16
5.1
18
22
9.2
58
79
87
7.0
3
6
4.0
44
54
55
13.9
4
7
9.0
176
191
192
21.2
5
9
6.0
278
33.2
1.335
1.848
56.0
99
31.7
541
773
835
66.8
29
40
41.6
102
172
114.9
184
225
231
58.4
47
59
75.7
704
791
795
87.7
19
42
28.0
889
106.3
12,921
15.523
470.1
131
12
203
224
71.7
293
299
125.2
1.642
2,043
2,157
172,5
17
22
22.9
123
152
101.5
780
818
833
210.7
162
173
221.8
3,963
4.278
4,320
476.4
97
135
90.1
1,211
144.8
7,813
12,984
393.2
140
26
383
449
143.7
495
685
286.7
3,983
4.781
5.187
414.9
231
396
412.0
658
1.035
691.1
691
853
887
224.3
642
698
895.1
6,811
8,302
8,377
923.9
155
220
146.8
9.785
1,170.1
42,986
67,309
2,038.5
1,113
212
2,307
2,581
825.8
2,181
2,499
1,046.0
7,878
13,697
15,479
1,238.0
412
777
508.4
773
1.461
975.6
7,469
9,043
9,240
2,336.9
1,122
1,329
1,704.2
17,529
21,061
21,301
2,349.2
682
1,573
1,0498
35,514
4,246.9
78,393
126,192
3.821.8
2,826
671
5,573
6.368
2.037.6
10.889
11.795
4,937.0
13,697
34,341
40,308
3,223.9
2,009
3,242
3,372.9
2,005
4,195
2,801.2
10,840
13,595
14.118
3.570.6
3,083
3,487
4,471.5
31,392
40,334
40,932
4,514.3
1,838
3,435
2.292.5
3,317
396.7
40,853
55,939
1,694.1
57
38
352
446
142.7
698
763
319.4
4,836
7,302
8,066
645.1
108
165
171.7
286
412
275.1
1,551
1,793
1,829
462.6
215
244
312.9
6,043
6,929
7,018
774.0
116
223
148.8
See footnotes at end of table.
342
APPENDIX rv— Index of Crime, Metropolitan Statistical Areas, 1990 — Continued
Metropoliun Statistical Ana
Population
Cnme
IndM
total
Modified
Cnme
Index
total'
Violent
crime^
Propeny
cnme'
Murder
and non-
nejligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglar>'
Larceny-
theft
Motor
vehicle
theft
JuMStows-Dniikirk, N.Y. M^A.
(Includes Chautauqua County.)
City of:
Jamestown
Dunkirk
Total area actually reporting
Rate per 100.000 inhabitants
JuesTiUe-Bdoit. Wi. M.SjL
(Includes Rock County.)
City of
Janesville
Beloil
Total area actually reporting
Rate per 100.000 inhabitants
Jcnty City, NJ. M^ji.
(Includes Hudson County.)
City of Jersey City
Total area aaually reporting
Rate per 100,000 inhabitants
JohisoD City-Kingsport-Bristol,
Ti.-Vt. M^jL
(Includes Carter. Hawkins, Sullivan.
Unicoi and Washington Counties, Tn..
Bristol City and Scott and Washington
Counties. Va)
City of:
Johnson City, Tn
Kingspoit. Tn
Bristol, Tn
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Johistowo, Pi. M.SA.
(Includes Cambna and Somerset
Counties.)
City of Johnstown
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Joliet, n. MSJL'
(Includes Grundy and Will Counties.)
City of Joliet'
Total area actually reporting
Estimated total
Rate per 100,000 inhabilanU
JopUn, Mo. MSA.
(Includes Jasper and Newton
Counties.)
City of Joplin
Total area aaually reporting
Estimated total
Rate per 100,000 inhabilanU
Kalmuoa, Ml. M.S.A
(Includes Kalamazoo County.)
City of Kalamazoo
Total area aaually reporting
Rate per 100.000 inhabitants
Kukikee, a M.S.A.'
(Includes Kankakee County.)
City of Kankakee*
Total area aaually reporting
Rate per 100,000 inhabitants
Kiuu aty, Mo.-Ks. M5jV
(Includes Cass, Gay, Jackson.
Lafayette, Platte and Ray Counties.
Mo., and Johnson, Leavenworth.
Miami and Wyandotte Counties, Ks.)
City of
Kansas City, Mo
Kansas City, Ks
Total area aaually reporting
Estimated total
Rate per 100.000 inhabitants
UI.895
34,681
13,989
100.0%
139.510
52.133
35.573
100.0%
553,099
228.537
100.0%
435,778
49,381
36,365
23,421
93.3%
100.0%
241,247
28.134
99.7%
100.0%
386J71
76.836
99.7%
100.0%
134,910
40.961
76.3%
100.0%
223,411
80,277
100.0%
96,255
27,575
100.0%
l,S6«a80
434,711
149.767
96,2%
100.0%
1.918
783
5,713
4,026.2
3.535
2.630
7.378
5,288.5
20.970
42,228
7,634.8
3,171
2.757
1.350
13,700
15,017
3.446.0
1,416
4,019
4,037
1.673.4
3,895
5,931
6.821
5.056.0
8,360
14,799
6,624.1
56,308
18,473
114,285
1 16,459
7.435.4
59
20
229
161.4
69
123
270
193.5
4,290
6.206
1.122.0
179
223
71
951
1,093
250.8
169
455
456
189.0
103
171
258
191.2
1,968
2,351
1.052.3
1 1,087
2,890
16,737
16,917
1,080.1
1,859
763
5,484
3,864.8
3,466
2,507
7.108
5.095.0
16,680
36.022
6.512.8
2,992
2,534
1,279
12.749
13.924
3,195.2
1,247
3,564
3,581
1.484.4
6,447
15,738
15.793
4.087.5
3,792
5,760
6.563
4.864.7
6.392
12.448
5.571.8
3,288
5,563
5.779.4
45,221
15,583
97,548
99,542
6.355.3
4
1
3
21
23
5.3
11
11.4
121
28
176
178
11.4
7
4
26
18.3
7
18
29
20.8
114
155
28.0
18
4
7
78
87
20.0
6
34
34
14.1
70
125
56,0
517
167
885
898
57.3
19
7
41
28.9
15
70
91
65.2
2.400
3,168
572.8
56
IS
6
lis
134
30.7
44
58
58
24.0
276
379
381
98.6
26
40
49
36.3
432
491
219.8
200
224
232.7
4.492
965
6,012
6,045
385.9
33
9
160
112.8
47
35
149
106.8
1,748
2,842
513.8
101
203
55
737
849
194.8
118
360
361
149.6
640
1,158
1,161
300.5
73
104
174
129.0
1,454
1,719
769.4
414
577
599.4
5,957
1.730
9.664
9.796
625.4
382
137
1,019
718.1
570
457
1.249
895.3
4.632
8.750
1.582.0
631
343
178
3,020
3,297
756.6
375
1.105
1.108
459.3
1,318
3.127
3.137
811.9
748
1.201
1,427
1.057.7
1.537
2.369
1.060.4
825
1.398
1.452.4
11.640
3.867
23,351
23.804
1.519.8
1.423
618
4,340
3,058.6
2,771
1,950
5.594
4,009.7
7,018
17,487
3,161.6
2,130
2,016
1,059
8,822
9,641
2.212.4
784
2,204
2,216
918.6
4.340
11.033
11.073
2,865.9
2,854
4,271
4,792
3,552.0
4,435
9,450
4.229.9
2,255
3.832
3.981.1
23.229
8,742
58.118
59,502
3.798.9
54
8
125
125
100
265
190.0
5,030
9,785
1.769.1
231
175
42
907
986
226.3
255
257
106.5
789
1.578
1,583
409.7
190
288
344
255.0
420
629
281.5
208
333
346.0
10.352
2.974
16.079
16.236
1.036.6
See footnotes at end of table.
343
APPENDIX rv— Index of Crime, Metro
ralitan St
atistical
\reas, 1990 — Contiiiued
Metropolitan Statistical Area
Population
Crime
Index
total
Modified
Crime
Indei
total'
Violent
crime^
Property
crime'
Murder
and non-
negligent
man-
Forcible
rape
Robbery
Aggra-
vated
assault
Burglarj
Larceny-
theft
Motor
vehicle
theft
Arson'
slaughter
Ktiojbi, »L NLSA.
128,181
(Includes Kenosha County.)
City of Kenosha
80,352
4.214
211
4.003
5
36
91
79
934
2,823
246
Total area actually repotting
lOO.O*
6,236
268
5.968
5
45
110
108
1.310
4.313
345
Rate per 100.000 inhabitants
4.865.0
209.1
4.655.9
3.9
35.1
85.8
84.3
1.022.0
3.364.8
269.2
KDleei-Teiiak. Tx. MSJL
255J01
Will** 1*^ ■ ■ ■■■f"*^ • ^^ * *.J«ta^*J m« •■••»«••■«■■>■
(Includes Bell and Corytll Counties.)
City of;
Killeen
63.535
4,401
281
4.120
11
47
94
129
1.151
2.774
195
Temple
4«,109
3.357
416
2.941
5
63
61
287
661
2.142
138
Total area actually reporting
lOO.O*
11,357
1,148
10.209
23
175
176
774
2.731
6.970
508
Rate per 100,000 inhabitants
4.448.5
449.7
3.998.8
9.0
68.5
68.9
303.2
1.069.7
2.730.1
199.0
Kioxrille, Ti. .M.Sjl.
579,039
(Includes Anderson, Blount, Grainger,
Jefferson, Knoi, Sevier and Union
Counties.)
City of Knoxville
165,121
13,113
1.973
11.140
25
111
601
1,236
3.637
5.660
1.843
Total area actually reporting
82.7%
24,232
2.556
21.676
40
160
730
1.626
6.591
12,623
2.462
Estimated total
100.0*
27.234
4,703.3
2.815
486.2
24,419
4,217.2
45
7.8
184
31.8
767
132.5
1.819
314.1
7.446
1.285.9
14.292
2.468.2
2,681
463.0
Rate per 100.000 inhabitants
Koknao, U. MSA.
9«,946
(Includes Howard and Tipton
Counties.)
City of Kolcomo
44,962
2.810
214
2,596
1
10
36
167
486
1.997
113
Total aita actually reporting
83.4%
3.337
270
3,067
3
11
38
218
628
2,292
147
Estimated total
100.0<*
4.014
313
3.701
3
15
46
249
753
2,746
202
Rate per 100,000 inhabitanu
4.140.4
322.9
3,817.6
3.1
15.5
47.4
256.8
776.7
2,832.5
208.4
U Cnme, »"!. M5jI.
97W
(Includes La Crosse County.)
Citv of La Crosse
51,003
3.408
43
3,365
11
12
20
222
3,030
113
Rate per 100,000 mhabitanu
Lifiyclte, U. M5jL
100.0%
4.672
131
4,541
21
12
98
378
4.019
144
4,772.0
133.8
4,638.2
21.4
12.3
100.1
386.1
4.105.0
147.1
208,740
(Includes Lafayette and St Martin
Parishes.)
City of Lafayette
94,440
7.948
872
7,076
5
64
175
628
1.593
5.187
296
Total area attually repotting
99.8%
10,554
1,227
9,327
10
93
220
904
2.398
6.505
424
Estimated total
100.0%
10,581
5,069.0
1,230
589.2
9.351
4.479.7
10
4.8
93
44.6
221
105.9
906
434.0
2.403
1.151.2
6.522
3.124.5
426
204.1
Rate per 100,000 inhabitants
Lafiyelte-West Laftyettc In. MSA. ....
130,598
(Includes Tippecanoe County.)
Cityofi
Lafayette
43,764
2,441
56
2.385
2
12
16
26
484
1.797
104
West Lafavette
25,907
1,025
34
991
9
3
22
127
831
33
»» Siks^ fcjijaj Srvfcv ....................
Total aita actually repotting
100.0%
5,786
153
5.633
3
39
32
79
866
4,572
195
Rate per 100,000 inhabitants
4,430.4
117.2
4,313.2
2.3
29.9
24.5
60.5
663.1
3.500.8
149.3
Lake Cliaries, Ll M,SjL
168,134
(Includes Calcasieu Pansh.)
City of Lake Charles
70,580
100.0%
4,422
10,903
631
1.570
3,791
9,333
7
15
54
110
136
223
434
1,222
1.042
2.443
2,483
6.396
266
494
Total area actuall) repotting
Rate per 100,000 inhabitants
6.484.7
933.8
5,550,9
8.9
65.4
132.6
726.8
1.453.0
3.804.1
293.8
Lake CootT D. iVLSjL'
518,470
(Includes Lake County.)
Total area actually reporting
100.0%
20,118
17
407
895
3.681
15,314
1,123
Rale per 100,000 inhabitants
3.880.3
3.3
78.5
172.6
710.0
2,953.7
216.6
LucntcT, Pa. MSX
422,822
(Includes Lancaster County.)
City of Lancaster
55,551
4.076
312
3.764
7
34
151
120
1.107
2,296
361
Total area actually reporung
99.7%
11.917
643
11.274
11
74
222
336
2,575
7,873
826
Estimated total
100.0%
11.952
2.826.7
646
152.8
11.306
2.673.9
11
2.6
74
17.5
223
52.7
338
79.9
2,581
610.4
7.895
1.867.2
830
196.3
Rate per 100,000 inhabitants
Luiiit-East Lusiig, ML \LSjt
432,674
Gndudes CUnton, Eaton and Ingham
Counties.)
City of:
Lansing
127,321
10.574
1,874
8.700
11
163
309
1,391
1.748
6,376
576
50.677
2.030
117
1,913
1
16
27
73
249
1,483
181
Total area actually reporting
91.6%
23.049
2,743
20,306
13
364
427
1.939
3.796
15,282
1,228
Faimalnt l(«al
100.0%
25.078
5.796.0
2,917
674.2
22,161
5,121.9
14
3.2
379
87.6
468
108.2
2.056
475.2
4,103
948.3
16.616
3,840.3
1,442
333.3
Rate per 100,000 inhabitants
See footnotes at end of table.
344
APPE>a)rX IV— Index of Crime, Metropolitan StotistiaU Areas, 199ft— Continued
MetropoUtaii Statistical Area
Population
Cnmc
Index
total
Modified
Crime
Index
total'
Violent
cnine^
Propert)
cnmc'
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robber>
Aggra-
vated
assault
Burglary
Larxxnv-
theft'
Motor
vehide
theft
Urt*!, Ti. M5jL
(Includes Webb County.)
City of Laredo
Total area actually reporting
Rate per 100.000 inhabitants
Lm Oko, NJ«. .NtSA.
(Includes Dona Ana County.)
City of Las Cruces
Total area actually repotting
Estimated total
Rate per 100.000 inhabitants
Lm Vepi, Nf. MSjL
(Includes Clarit County.)
City of Las Vegas
Total area actually repotting
Estimated total
Rate per 100,000 mhabitanu
LawreKt, Ks. MSA.
(Includes Douglas County.)
City of Lawrence
Total area actually reporting
Rate per 100.000 inhabitants
Liwmce-HaTerhm, Ma.-NJl. HSX ...
(Includes pan of Essex County, Ma.,
and pan of Rockingham Coimty,
N.H.)
City of:
Lawrence, Ma.
Haverhill, Ma.
Total area actually reporting
Estunated total
Rau per 100,000 inhabitants
Lawtoi, OL MSJL
(bcludes Comanche County.)
City of Lawton
Total area actually teponmg
Rate per 100.000 inhabitants
Lewistot-Aibm. Me. MSA.
(Includes pan of Androscoggin
County.)
City of:
Lewiston
Auburn
Total area actually reporting
Rale per 100.000 inhabilanu
LexiigtoD-Fiyeoe, Ky. MSA.
(Includes Bourbon, Clart. Fayette,
Jessamine, Scott and Woodford
Counties.)
City of Lexmgton
Total area actually reporting
Rate per 100.000 inhabitants
Uacoli, Ne. MSJl.
(Includes Lancaster CV>unty.)
City of Lincoln
Total area actually reponing
Rate per 100.000 inhabitants
Littk Rock-North Little Rock, Ar.
M5A.
(Includes Faulkner. Lonoke. Pulaski
and Saline Counties.)
City of
Little Rock
North Little Rock
Total area aaually reporting
Rale per 100.000 inhabitants
LatfTlew-ManhaU, Tx. MSJL
(Includes Gregg and Harrison
Counties.)
City of
Longview
Marshall
Total area actually reporting
Rate per 100.000 inhabitants
133,239
122,899
100.0%
135,510
62,126
98.5%
100.0%
741,459
616,243
93.6%
100.0%
81,798
65,608
100.0%
382,980
105,259
39.027
23,664
100.0%
348,428
225,366
100.0%
213,641
191,972
100.0%
513,117
175,795
61,741
100.0%
167,103
70,311
23,682
100.0%
10,927
11,289
8,472.7
5,982
8,465
8,658
6,389.2
43,944
46,797
49,346
6,655.3
4.692
6,011
7.348.6
70,207
8.613
51,418
3.026
88.6%
19,365
100.0%
20,988
5.480.2
111,486
80,561
4,617
100.0%
4,874
4,371.8
2.485
1.100
4,451
4,228.6
16,245
21,929
6,293.7
13,457
14,862
6,956.5
26,162
7,110
44,697
8,710.9
6,735
1,749
11,014
6,591.1
750
803
602.7
404
590
601
443.5
4,510
4,708
4,902
661.1
309
340
415.7
971
340
1.704
1,867
4875
656
688
617.1
137
26
194
184.3
1,770
2,405
690.2
941
976
456.8
3,611
971
5,673
1,105.6
1.099
254
1.616
967.1
10,177
10,486
7,870.1
5.578
7.875
8.057
5.945.7
39,434
42,089
44.444
5.9941
4.383
5.671
6.932.9
7,642
2,686
17,661
19,121
4,992.7
3,961
4.186
3,754.7
2.348
1.074
4.257
4,044.3
14,475
19.524
5,6035
12,516
13,886
6,499.7
22,551
6,139
39,024
7.605,3
5,636
1,495
9,398
5,624.1
14
18
13.5
79
88
91
12.3
3
I
4
3.8
20
26
7.5
33
24
73
14.2
5
4
15
9.0
17
20
15,0
46
76
77
56.8
371
423
467
63.0
26
27
33.0
55
12
134
141
36.8
69
70
62.8
21
7
30
28.5
141
177
50.8
99
105
49.1
254
77
445
86.7
66
25
129
77.2
158
159
119.3
107
109
80.4
2.229
2,289
2,337
315.2
44
53
64.8
345
31
472
506
132.1
91
91
81.6
44
13
60
57.0
452
496
142.4
III
114
53.4
1. 118
261
1.484
289.2
141
42
205
122.7
561
606
454.8
262
397
405
298.9
1,831
1,908
2,007
2707
238
259
316.6
567
294
1,089
1,211
316.2
492
523
469.1
69
5
100
95.0
1,157
1,706
489.6
728
754
352.9
2.206
609
3,671
715.4
887
183
1,267
758.2
2.231
2,355
1,767.5
1,393
2,367
2,405
1,774.8
10,176
10.948
11,484
1,548.8
796
1,098
1,342.3
2,378
954
4,739
5,078
1,325.9
1,252
1,320
1,184.0
557
293
1,095
1.040.3
3,177
4,164
1,195.1
2,148
2.403
1.124.8
6,033
1,315
10,154
1,978.9
1,435
316
2,498
1,494.9
6,876
7.029
5.275.5
3,827
4,984
5,117
3.776.1
24.009
25.624
27J69
3,677.7
3,417
4,383
5,358.3
1,730
1,177
7,370
8^33
2,149.7
2,483
2,621
2,351.0
1,711
713
2,969
2.820.7
10,338
14.344
4,116.8
9,943
11,024
5,160.1
14,681
4,389
25,908
5,049.1
3,760
1,087
6,241
3,734.8
1,070
1,102
827.1
358
524
535
394.8
5J49
5,517
5,691
767.5
170
190
2313
3,534
555
5,552
5,810
1,517.1
226
245
219.8
68
193
183.4
760
1,016
291.6
425
459
2H.8
1,837
435
2,962
577.3
441
92
659
394.4
See footnotes at end of table.
345
APPENDIX I\'— Index of Crim
e, Metro
jolitan Statistical Areas, 19
90— Coot
in tied
Metropolitaii Statistical Area
Population
Crune
Indei
total
Modified
Cnme
Indei
total'
Violent
ctime^
Property
cnme-'
Murder
and non-
negligent
man-
Forcible
rape
Robbery
Aggra-
^■ated
assault
Burglary
Larcenv-
thefl
Motor
vehide
theft
Arson'
slaughter
Ltfiia-FJrnL Oh. MA.4,
265,596
(Indttdes Lorain County.)
atyof:
Lorain
71,245
2,820
268
2,552
3
50
100
115
964
1,405
183
Elyria
56,746
3,189
283
2,906
5
35
112
131
787
1,874
245
Total area actually repotting
93.9%
8,754
996
7,758
10
127
260
599
2,338
4,850
570
Estimated total
100.0%
9,438
1,035
8,403
10
131
272
622
2,445
5,334
624
Rait per 100,000 inhabitants
3,553.5
389.7
3,163.8
3.8
49.3
102.4
234J
920,6
2,008.3
234.9
Ln A^ele»-l/)ii« Batch. C*. MSJi. ....
8,863,164
(Includes Los .\ngeles Count>.)
City ofi
Los .\ngtles
3,485,398
321,536
83,809
237,727
983
2,014
36,098
44,714
51,482
122,632
63,613
I fmg Beadi
429,433
41.106
8.403
32,703
106
298
4,193
3,806
8.661
16,905
7,137
Total area actually repotting
100,0%
661,908
155,852
506,056
1,768
4,215
63,094
86,775
123,162
255,971
126,923
Rate per 100,000 inhabitants
7,468.1
1,758,4
5,709.7
19.9
47,6
711.9
979.1
1,389.6
2,888.0
1,432.0
Iiiriiiilk. Kj.-Ii. M5jL
952,662
(Indodes Bullitt, Jefienon, Oldham
and Shelby Counties, Ky.. and Clark,
Floyd and Harrison Counties, In.)
269,063
17,285
2,281
15,004
39
122
1,089
1,031
4,765
8,686
1,553
Total area actually repotting
97,0%
44,925
4,259
40,666
65
292
1.398
2,504
9,967
27,882
2,817
Estimated total
100,0%
46.033
4,330
41,703
66
300
1,412
2,552
10,194
28,596
2,913
Rate per 100,000 inhabitanu
4,832,0
454.5
4,377.5
6.9
31.5
148.2
267.9
1,070.1
3,001.7
305.8
Libbock. Tx. M-SjV.
221,850
(Indudes Lubbock County,)
City of Lubbock
186.206
12,302
1,116
11,186
16
160
304
636
2,893
7,516
777
Total area actually repotting
100.0%
14,246
1,280
12,966
16
186
314
764
3,343
8,779
844
Rate per 100,000 inhabitants
6,421,5
577.0
5.844.5
7.2
83,8
141.5
344.4
1,506.9
3,957,2
380.4
LjKkliiH. Va. MS.*.
142,199
(lodudes Lynchburg City and
Amheia and Campbell Counties.)
City of L>'nchburg
66,049
3,858
580
3,278
5
28
127
420
548
2,614
116
Total area actually reporting
100.0%
5,609
779
4,830
9
47
142
581
855
3,797
178
Rate per 100,000 inhabitants
3,944.5
547.8
3.396.6
6.3
33.1
99.9
408.6
601.3
2,670.2
125.2
.NtaM-Waner Robiis. Ga. HSjL
281,103
(Indudes Bibb, Houston, Jones and
Peach Counties.)
atyoe
Macon
106,612
11,741
760
10,981
21
78
260
401
2,623
7,544
814
Warner Robins
43,726
3.847
434
3,413
2
25
56
351
758
2,473
182
Total area actually reporting
98.8%
20,723
1,655
19,068
35
148
403
1,069
4,697
13,030
1,341
Estimated total
100.0%
21,041
1,683
19,358
35
150
413
1,085
4,760
13,226
1,372
Rate per 100,000 inhabitants
7,485,2
598.7
6,886.4
12.5
53.4
146.9
386.0
1,693.3
4,705,0
488.1
MaiisM. ft! VLSjL
360067
(Indudes Dane County.)
City of Madison
191,262
12,620
596
12,024
3
62
230
301
2,334
8,957
733
Total area actually reporting
100.0%
18.687
1,026
17,661
4
78
264
680
3.184
13,523
954
Rate per 100,000 inhabitants
5,187.0
284.8
4,902.2
1.1
21.7
73.3
188.7
883.8
3,753.6
264.8
Mnchester, Nil M5A.
144,252
(Indudes part of Hilliborough.
Memmack and Rockingham Counties.)
Cit) of Manchester
99,567
7,427
197
7J30
2
21
116
58
1,887
4,762
581
Total area actually reporting
100.0%
8,902
237
8,665
3
22
118
94
2,267
5,738
660
Rale per 100,000 inhabitants
6,171.1
164.3
6,006.8
2.1
15.3
81.8
65.2
1,571.6
3.977.8
457.5
M*«sfieM, Oh. M5jL
124,137
(Indudes Richland County.)
City of Mansfidd
50,627
96.8%
4,916
6,982
1,019
1,200
3,897
5,782
4
4
65
67
126
142
824
987
1,073
1,605
2,621
3,885
203
292
Total area actually repotting
Estimated total
100.0%
7,151
5,669.2
1.210
959.3
5,941
4,710.0
4
3.2
68
53.9
145
115.0
993
787.2
1,631
1,293.0
4,005
3,175.1
305
241.8
Rate per lOO.OOO inhabitants
McADea-EAilxitg-Missioa. Ti. MSjL ..
383.545
(Indudes Hidalgo County,)
City of:
McADen
84,021
8,709
463
8,246
3
16
104
340
1,624
5,562
1,060
Edinbuig
29,885
1,716
261
1,455
1
17
26
217
464
833
158
Mission
28,653
1,763
88
1,675
1
8
12
67
382
1,117
176
Total area actuaUy reporting
100.0%
25,287
1,894
23,393
35
97
282
1,480
7,068
13,902
2,423
Rate per 100,000 inhabitants
6,593.0
493.8
6,099.2
9.1
25.3
73.5
385.9
1,842.8
3,624.6
631.7
NWfcei, Or. MiA.
146J89
(Indudes Jackson County.)
City of Medford
46,951
4,397
238
4,159
36
51
151
684
3.269
206
Total area aaually reporting
100.0%
7,802
536
7.266
5
71
79
381
1,375
5,506
385
Rate per 100,000 inhabitants
5,329,6
366.1
4,963,5
3.4
48.5
54.0
260,3
939,3
3,761.2
263.0
Sec footnotes at end of table.
346
APPENDIX rv— Index of Crime, MetropoUtan Statistical Areas, 1990 — Contiiined
MetrDpoUun Suiiakal Area
Populatkn
Cnme
Inda
total
McxliTiol
Crimt
Inda
lOUl'
Violent
aime^
Property
cnme'
Murder
and BOD-
negUgnt
math
FoioUe
rape
RoMiery
Aggra-
vated
Bnrjbiy
Larceoy-
theft
Motor
vefaide
theft
Mdkovie-ritisTiDe-PalB B«;, Fl
MSJL
(Includes Brevard County.)
City of
MenxMrse
Titusville
Palm Bay
Total area actually reporting
Rate per 100.000 inhabiianis
MeapUs. Ti.-Ar.-Mi. .MSjL
(Includes Shelby and Tipton Counties.
Tn.. Cnttenden County, Ar, and
De Soto County. Ms.)
City of Memphis, Tn.
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Mera*. Ca. .VLSjL
(lodudes Merced County.)
City of Merced
Total area actually reporting
Rate per 100.000 inhabitants
Miim-Hiakak. a .VLSjL
(Includes Dade County.)
City of
Miami
Hiakah
Total area actually reporting
Rate per 100.000 inhabitants
MiMlesex-SomoM-HntaAM.
NJ. .M&A.
(bdudes Hunterdon, Middlesex and
Somerset Counties.)
Total area actually lepoiting
Rate per lOO.OOO mhabitanu
MiMetowi. a M5A.
(Includes part of Middlesex County.)
City of Middleto»Ti
Total area actually reporting
Rate per 100.000 mhabitants
.MMhad, Ti. M^A.
(Includes Midland County.)
City of Midland
Total area actually reporting
Rate per lOO.OOO mhabitants
MDwaaec, Wl M^jL
(Includes Mil»aukee. Ozaukee.
Washington and Waukesha Coonlies.)
City of Milwaukee
Total area actually reporting
Rate per 100.000 mhabitanu
MoUe, AL M-SjL
(Includes Baldwin and Mobile
Counties.)
City of Mobile
Total area actually reporting
Estimated total
Rate per 100.000 mhabitants
Motein, Ci. M^jL
(Includes Stanislaus County.)
City of Modesto
Total area actually reporting
Rate per 100.000 mhabitants
MouonlHOceu. NJ. US.A.
(Includes Monmouth and Ocean
Cxnnues.)
Total area actually reporting
Rate per 100.000 mhabitants
Movoe. La. VLS.A.
(Includes Ouachita Pansh.)
City of Monroe
Total area actually reporting
Rate per 100.000 inhabitants
JKSn
59,646
39,394
62,632
100.0%
»81,747
W37JW4
358,54S
IS8,004
100.0%
1,019,«35
100.0%
65,476
42,762
100.0%
106,611
89,443
100.0%
1,432.149
628.100
100.0%
476,923
9g6jr
100.0%
142,191
54.909
100.0%
6,990
2.939
4,097
29,576
7.4119
610J37
60,255
87.8%
70,812
100.0%
74,826
7,621.7
17S.403
56J16
3.583
100.0%
8.266
4,633.3
68J09
18J34
259.810
13.4114
38,823
3,806.8
1410
3,103
4,739.1
5.564
6.413
6.015.3
58.406
86,876
6.066.1
196J78
21379
99.8%
31,187
100.0%
31.252
370322
6,5518
164.730
10,878
100.0%
24,202
6,531.9
38,461
3.899.4
6.540
9,490
6,674.1
834
325
325
1916
730.9
9,082
10,132
10,521
1,071.7
270
866
485.4
15,607
1379
44,521
1298.3
1552
250.2
192
231
3518
495
552
517.8
6.282
7.480
5213
5.898
7027
7J35
1.517.0
1,036
1962
799.4
1742
278.0
938
1,120
787.7
6,156
1614
3,772
26,660
6,6811
51,173
60,680
64J05
6,550.1
3,313
7,400
4.147.9
51602
15,855
215,289
11,114.0
36^71
3,556.6
1218
1872
4,3««J
5,069
5,861
5,497.6
51124
79,396
5,543.8
16,481
23,960
24,017
5,035.8
9,822
21.240
5,7315
35,719
3,621.4
5,602
8.370
5.886.4
195
217
225
219
4
15
8.4
129
14
386
19.9
24
14
7
7
6.6
155
160
11.2
41
57
57
110
8
23
6.2
4
6
4J
21
13
22
I4«
36.6
831
982
1.048
106.7
22
64
35.9
299
68
1,314
67.8
163
16.0
12
14
21.4
65
78
73J
495
569
39.7
146
206
206
43.2
65
176
47.5
224
217
47
70
49.2
149
78
43
621
155.6
4,152
4,451
4.506
459.0
86
139
77.9
8,172
1,197
20.854
1,076.6
821
80.5
47
54
815
121
121
113.5
4,146
4,477
3116
842
1,011
1,013
2114
260
483
130.4
592
60.0
87
99
69.6
661
231
256
1128
533.4
3,904
4,482
4,742
483.0
158
648
363.2
7,007
1,100
21,967
1,134.0
1,544
151.4
133
163
248.9
302
346
324J
1,486
1274
158.8
4.869
5,953
5,959
U49.5
723
1280
615.3
1,908
193.4
800
945
664.6
1,581
882
986
7492
1,8517
15.526
18,199
19,557
1,9911
790
1189
1J27.0
13,507
3,955
56,890
1936.9
7,051
691.4
346
470
717.8
1.554
1,850
1.735J
9.311
13.553
946.3
4,580
6,887
6,900
l.44«.8
1096
5,741
1,549.4
7,677
778.3
1,146
1,827
1,284.9
4,216
1,541
1638
17,811
4,464J
21966
28,706
30,695
3,126.6
1294
4,674
1619.9
29.518
8.498
121.834
639J
24.502
14015
1.643
1108
3J19J
3.144
3.609
33850
29.575
50.894
3,553.7
10.741
15.486
15,526
3055J
6,776
13,641
3.681.6
25.717
1607.4
4080
6074
4,4114
359
191
148
1.457
3650
11681
13.775
14.053
1.431.4
229
537
301.0
9.577
3.402
36,565
l,8r7.6
4,718
4616
229
294
449.0
371
402
377.1
13038
14.949
1.043.8
1.160
1.587
1.591
333.6
950
1.858
501.5
1323
235.7
176
269
1890
See footnotes at end of table.
347
APPENDIX rv— Index of Crime, Metroi
Kiliun Stetistical Areas, 1990— Continued
Metropolitan Sutistical Area
Population
Crime
Index
total
Modified
Cnme
Index
total'
Violent
crime^
Property
crime"
Murder
and non-
negligent
man-
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson'
slaughter
Montjomery, Al. M.S.A
2H6S7
(Includes AuUuga, Elmore and
Montgomery Counties.)
City of Montgomery
187,106
12,154
967
11,187
34
102
435
396
2,779
7,697
711
Total area aaually reporting
94.7%
16,005
1,624
14,381
39
135
497
953
3,816
9,727
838
Estimated total
100.0%
16,359
1,678
14,681
40
137
503
998
3,919
9,902
860
Rate per 1 00,000 inhabitants
5,551.3
569.4
4,981.9
13.6
46.5
170.7
338.7
1,329.9
3,360.2
291.8
Mmkejon, Ml. M.S.A.
1S8,9«3
(Includes Muskegon (^unty.)
City of Muskegon
40,283
4,760
681
4,079
4
35
129
513
1,071
2,798
210
Total area actually reporting
100.0%
10,776
1,245
9,531
10
90
236
909
2,183
6,867
481
Rate per 100,000 inhabitants
6,778.1
783.1
5,995.0
6.3
56.6
148.4
571.8
1,373.1
4,319.3
302.5
NmhM. Nil. MSA
176335
(Includes part of Hillsborough and
Rockingham Counties.)
City of Nashua
79,662
3,355
70
3,285
1
41
17
11
483
2,476
326
Total area actually reporting
100.0%
5,892
224
5.668
2
74
28
120
1,001
4,190
477
Rate per 100.000 inhabitants
3,341.4
127.0
3,214,3
1.1
42.0
15.9
68.1
567.7
2,376.2
270.5
Nuhrtlle, In. MSA.
985,026
.
(Includes Cheatham, Davidson,
Dickson, Robertson, Rutherford,
Sumner, Williamson and Wilson
Counties.)
City of Nashville
499,565
39,360
6,886
32,474
67
553
2,164
4,102
8,892
20,115
3,467
Total area actually reporting
84.1%
52,723
8,380
44,343
85
639
2,320
5,336
11,592
28,557
4,194
Estimated total
100.0%
57,426
5,829.9
8,787
892.1
48,639
4,937.8
93
9.4
676
68.6
2,379
241.5
5,639
572.5
12,930
1,312.7
31,172
3,164.6
4,537
460.6
Rate per 100,000 inhabitants
NusM-Snffolk, N.Y. M5A.
2,609,212
(Includes Nassau and Suffolk
Counties.)
Total area actually reporting
100.0%
103,426
7,015
96,411
69
262
3,038
3,646
19,891
59,629
16,891
Rate per 100,000 inhabitants
3,963.9
268.9
3,695.0
2.6
10.0
116.4
139.7
762.3
2,285.3
647.4
Newk, NJ. M5A.
1,824J21
(Includes Essex, Morris, Sussex and
Union Counties.)
City of Newark
275,221
44,739
10,684
34,055
112
326
6,021
4,225
6,741
12,537
14,777
Total area actually reporting
100.0%
126,015
20,543
105,472
182
743
11,359
8,259
22,046
50,920
32,506
Rale per 100,000 inhabitants
6,907.5
1,126.1
5,781.4
10.0
40.7
622.6
452.7
1,208.4
2,791.2
1,781.8
New Bedford, Ma. MSA.
179,878
(Includes part of Bristol and
Plymouth Counties.)
City of New Bedford
99,922
7,008
1,137
5,871
7
46
327
757
1,780
2,619
1,472
Total area actually reporting
88.9%
9,697
1,392
8,305
7
57
362
966
2,352
3,864
2,089
Estimated total
100.0%
10,442
5,805.0
1,467
815.6
8,975
4,989.5
7
3.9
60
33.4
378
210.1
1.022
568.2
2,508
1,394.3
4,260
2,368.3
2,207
1,226.9
Rate per 100,000 inhabitants
N«w Britila Ct MSA
148,188
(Includes part of Hartford County.)
City of New Britain
75,491
5,280
463
4,817
6
36
235
186
1,121
3,226
470
Total area actually reporting
100.0%
7,669
550
7,119
8
51
251
240
1,707
4,768
644
Rate per 100,000 inhabitants
5,175.2
371.2
4,804.0
5.4
34.4
169.4
162.0
1,151.9
3,217.5
434.6
New Haven-Meriden, a MSA.
562,727
(Includes pan of Middlesex and
New Haven Counties.)
City of
New Haven
130,474
59,479
21,012
3,142
3,991
169
17,021
2.973
'\
168
13
1,784
64
2,008
90
4,476
706
9,086
1,981
3,459
286
Meriden
Total area actually reporting
100.0%
39,708
4,836
34,872
35
233
2,115
2,453
8,378
20,806
5,688
Rate per 100,000 inhabitants
7,056.4
859.4
6,197.0
6.2
41.4
375.8
435.9
1,488.8
3,697.4
1,010.8
Ntw London-Norwich, CL-R.L
M.SjL
283,435
(Includes part of New London and
Windham Counties, O., and
Washmgton County, R.l.)
City of
New London, Q
28,540
2,561
280
2,281
1
17
83
179
576
1,487
218
Norwich, Ct
37,391
1,574
123
1,451
1
2
30
90
381
984
86
Total area actually reporting
100.0%
10,396
894
9,502
4
63
186
641
2,471
6,362
669
Rate per 100,000 inhabitants
3,667.9
315.4
3,352.4
1.4
22.2
65.6
226.2
871.8
2,244.6
236.0
See footnotes at end of table.
348
APPENDIX rv— Index of Crime, Metropolitan Statistical Areas. 1990— Continued
Metropolitan Statistical Area
Population
Cnme
Index
total
Modified
Crime
Index
total'
Violent
crime'
Property
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
tbeft
Motor
vehicle
theft
New Orkaiu, U. MSA
(Includes Jefferson, Orleans, St.
Bernard, St. Charles, St. John the
Baptist and St. Tammany Parishes.)
City of New Orleans
Total area actually reporting
Estimated total
Rale per 100,000 inhabitants
New York, N.Y. M.SA.
Ondudes Bronx, Kings, New York.
Putnam, Queens, Richmond, Rockland
and Westchester Counties.)
City of New York
Total area actually reporting
Estimated total
Rale per 100,000 inhabitants
NlafVi Filb, N.Y. M-SjL
(Includes Niagara County.)
City of Niagara Falls
Total area aaually reporting
Rate per 100,000 inhabitants
Norfolk-Vlitliiia Bcach-Newpoft
News, Vi. MSA.
(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
NonnUk, Ct MSX
(Includes part of Fairfield County.)
City of Norwalk
Total area actually repotting
Rate per 100,000 inhabitants
OtkluHl, Ci. MSA.
(Includes Alameda and Contra Costa
Counties.)
City of Oakland
Total area aaually reporting
Rate per 100,000 inhabitants
Ocali, R MSA.
(Includes Marion County.)
City of Ocala
Total area actually reporting
Rate per 100,000 inhabitants
Odetsa, Tx. M.SA.
(Includes Ector County.)
City of Odessa
Total area actually reporting
Rate per 100,000 inhabitants
OUahoma Oty, Ok. MSA.
(Includes Canadian, Oeveland,
Logan, McGain, Oklahoma and
Pottawatomie Counties.)
City of Oklahoma City
Total area actually reporting
Rate per 100,000 inhabitants
OlyinpU, Wa. MSA
(Includes Thurston County.)
City of Olympia
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
1.238.816
496,938
92.1%
100.0%
8446.846
149t,l(n
2.082.914
958.993
61.799
109,518
115,236
9,302.1
7,322.564
710,222
99.8%
759,887
100.0%
760,638
8,899.6
220,756
61,840
4.099
100.0%
9,806
4,442.0
261,229
26.786
393,069
22,716
170,045
10.243
100.0%
92.439
6,621.2
127 J78
78,331
6,224
100.0%
7,547
5,924.9
372,242
40,595
100.0%
143,451
6.887.0
1H833
42,045
7.733
100.0%
14.886
7.640.4
118.934
89,699
12,138
100.0%
14,242
11,974.7
444,719
47,190
100.0%
75,310
7.853.0
161,238
33.840
2,363
98.6%
6,783
100.0%
6.948
4.309.2
11.227
16,817
17,445
1.408.2
174,542
179.335
179.382
2,098.8
449
985
446.2
2,851
902
1,131
8,095
579.8
391
437
343.1
5,845
18,153
871.5
973
2,272
1,166.1
651
713
599.5
4,813
6,519
679.8
94
457
465
288.4
50,572
92,701
97,791
7,893.9
535,680
580,552
581,256
6,800.8
3,650
8,821
3,995.8
23.935
21,814
9,112
84,344
6,041.4
5,833
7,110
5,581.8
34,750
125,298
6,015.5
6,760
12,614
6,474.3
11.487
13.529
11.375.2
42,377
68,791
7,1733
2,269
6,326
6,483
4,020.8
304
379
387
31.2
2,245
2,301
2,302
26.9
63
16
26
167
12.0
5
5
3.9
146
258
12.4
16
27
13.9
II
20
16.8
68
92
9.6
1
6
6
3.7
361
655
692
55.9
3,126
3.305
3.308
38.7
49
91
41,2
218
149
99
705
50.5
II
12
9.4
517
1.096
52.6
33
143
73.4
60
79
66.4
422
603
62.9
22
101
102
63.3
6.048
7,832
7,988
644.8
100,280
102,434
102,450
1,198.7
122
191
86.5
1,393
424
356
3,399
243.5
208
220
172.7
3,230
7,131
342.4
394
640
328.5
114
133
111.8
1.398
1.719
179.3
19
49
51
31.6
4,514
7,951
8,378
676.3
68.891
71.295
71,322
834.5
276
699
316.6
1,177
313
650
3,824
273.9
167
200
157.0
1,952
9.668
464.2
530
1.462
7504
466
481
404.4
2.925
4,105
428.1
52
301
306
189.8
13,624
23,658
24,902
2.010.1
119.937
128.380
128.527
1,503.8
1,009
2,055
930.9
4,200
3,976
1.797
15.604
1,117.7
1,648
1,988
1,560.7
8.500
27.864
1,337.7
1,672
3,922
2,0130
2,415
2,945
2,476.2
11,440
18,402
1,918.9
277
1,352
1,379
855,3
24,806
52,403
55,833
4,507.0
268,620
298,073
298,535
3,492.9
2,248
6,091
2,759.2
16,941
16,541
6,686
60,689
4,347.0
3,312
4,133
3,244.7
19.077
79,040
3,794.7
4,763
7.923
4.066.6
8.704
10.110
8,500.5
25,657
43,072
4.491.4
1.869
4.632
4,751
2,946.6
12,142
16,640
17,056
1,376.8
147,123
154,099
154,194
1,804.1
393
675
305.8
2,794
1,297
629
8,051
576.7
873
989
776.4
7.173
18.394
883.1
325
769
394.7
368
474
398.5
5.280
7.317
763.0
123
342
353
218.9
See footnotes at end of table.
349
APPENDIX IV— Index of Crime, Metropolitan Statistical Areas, 1990 — Continued
Metropolitan Statistical Area
Population
Crime
Index
total
Modified
Cnme
Index
total'
Violent
crime'
Property
crime'
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Omaha, Ne.-Ii. M5jI
(Includes Douglas. Sarpy and
Washington Counties, Nb., and
Pottawattamie County, la.)
City of Omaha, Ne
Total area actually reporting
Rate per 100,000 inhabitants
Oruie ConMy, N.Y. MSJt
(Includes only Orange County.)
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Orlando, R M5A
(Includes Orange. Osceola and Seminole
Counties.)
City of Orlando
Total area actually reporting
Estimated total
Rate per 1 00,000 inhabitants
Owensboro, Ky. MSA.
(Includes Daviess County.)
City of Owensboro
Total area actually reporting
Rate per 1 00,000 inhabitants
Oxnard-Ventura, Ca. M.SA
(Includes Ventura County.)
City of
Oxnard
Ventura
Total area actually reporting
Rate per 100,000 inhabitants
Puaiu City, FI. MSA
(Includes Bay County.)
City of Panama City
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Parkersbnrg-Marietta, W.V.-Oh.
MSA.
(Includes Wood County. W.V.,
and Washington County, Ob.)
City of
Parkersburg, W.V
Marietta, Oh
Total area actually reporting
Estimated total
Rate per 1 00,000 inhabitants
Peoria, n. MSA.'
(Includes Peoria, Tazewell and
Woodford Counties.)
City of Peoria'
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Phllulelphii, Pa.-NJ. MSA.
(Includes Bucks, Chester, Delaware,
Montgomery and Philadelphia
Counties, Pa., and Burlington,
Camden and Gloucester Coimties, N.J.)
City of Philadelphia, Pa
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Pboenlx, Ai. MSA
(Includes Maricopa County.)
City of Phoenix
Total area actually reporting
Rate per 100,000 inhabitants
Pine Blofl, Ar. MSA
(Includes Jefferson County.)
City of Pine Bluff
Total area actually reporting
Rate per 100,000 inhabitants
618,262
335,795
23,673
100.0%
34,111
5,517.2
307,647
98.9%
10,992
100.0%
11,116
3,613.2
1,072,748
164,693
23,750
99.9%
89,639
100.0%
89,702
8,361.9
87,189
53,549
2,568
100.0%
3,057
3,506.2
669,016
142,216
8.464
91,253
4,974
100.0%
26,476
3.957.5
126,994
34,378
3,264
99.2%
8,331
100.0%
8,420
6,630.2
149,169
33,862
15,026
98.6%
100.0%
339,172
113,504
99.3%
100,0%
4,856,881
1,455
584
3,626
3,713
2,489.1
1,585,577
114,032
99.5%
232,718
100.0%
233.410
4,805.8
2,122,101
983,403
105,779
100.0%
184,270
8,683.4
85,487
57,140
5,464
100.0%
6,233
7,291.2
3,139
3,786
612.4
1,335
1,345
437,2
4,109
11,528
11,536
1,075.4
106
148
169.7
1,205
361
2,842
424.8
336
807
817
643.3
59
41
140
145
97.2
21,387
35,650
35,715
735.3
10,665
15,671
738,5
971
1,090
1,275.0
20,534
30,325
4,904.9
9,657
9,771
3,176.0
19.641
78,111
78,166
7,286.5
2,462
2,909
3,336,4
7,259
4,613
23,634
3,532.7
2,928
7,524
7,603
5,986.9
1,396
543
3,486
3,568
2,391.9
8,568
13,966
14,074
4,149.5
92.645
197,068
197,695
4,070,4
95,114
168,599
7,944.9
4,493
5,143
6,016.1
II
22
3,6
30
59
59
5.5
1.1
6
1
15
2.2
1
4
4
3.1
3
3
2.0
4
7
7
2.1
503
642
643
13,2
128
175
8,2
12
12
14.0
217
266
43.0
64
64
20.8
181
462
462
43.1
23
25
28.7
66
49
205
30.6
II
47
47
37,0
17
14
39
39
26.1
734
1,540
1.544
31,8
512
875
41,2
604
708
114.5
368
371
120.6
1,449
3,025
3,028
282.3
340
129
745
111.4
58
93
97
76.4
14
12
33
35
23.5
348
384
387
114.1
12,806
17,051
17,064
351.3
3,383
4,465
210.4
214
229
267.9
2,307
2,790
451.3
886
893
290.3
2,449
7,982
7,987
744.5
59
96
110.1
793
182
1,877
280.6
266
663
669
526.8
27
15
65
68
45.6
1,015
1,239
1,244
366.8
7.344
16,417
16,464
339,0
6,642
10,156
478.6
663
756
884.3
4,190
6,280
1,015.8
2,392
2,413
784.3
5,453
23,556
23,570
2,197.2
537
694
796.0
1,599
1,162
6,408
957.8
717
1,807
1,827
1,438.7
357
83
787
801
537.0
2,272
3,414
3,434
1,012.5
24,144
46,285
46,396
955.3
24,682
41,370
1,949.5
1,552
1,877
2,195.7
14,997
22,143
3,581.5
6,725
6,807
2.212.6
12,662
47,464
47,500
4,427.9
1,818
2,078
2,383.3
4,684
3.085
14,741
2,203.4
2,076
5,334
5,385
4,240.4
932
441
2,499
2,560
1,716.2
5,985
10,043
10.121
2,984.0
42,633
108,919
109,358
2,251.6
52.912
101.200
4.768.9
2,610
2,896
3,387.6
1,347
1,902
307.6
540
551
179.1
1,526
7,091
7,096
661.5
107
137
157.1
976
366
2,485
371.4
135
383
391
307.9
107
19
200
207
138.8
311
509
519
153.0
25,868
41,864
41,941
863.5
17,520
26,029
1,226.6
331
370
432.8
See footnotes at end of table.
350
APPENDIX rv— Index of Crime. Metropolitan Statistical Areas, 1990— Continued
MctropoUtan Statistical Area
Population
Cnrae
Index
total
Modified
Cnme
Index
total'
Violent
crime^
Properly
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robber*
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
PttUlwrgh, Pi. M.SJL
(Includes Allegheny, Fayette,
Washington and Westmoreland
Counties.)
City of Pittsburgh
Total area actually reporting
Estimated total
Rate per 100.000 inhabitants
Pwtlud, Me. MSA
(Includes part of Cumberland and
York Counties.)
City of Portland
Total area actually reporting
Rate per 100,000 inhabitants
Portlud, Or. M.SJL
(Includes Clackamas, Multnomah,
Washington and Yamhill Counties.)
City of Portland
Total area aaually reporting
Estimated total
Rate per 100,000 inhabitants
Poitsnwiith-Dorer-Rwhesler, Nil.-
Me. MSJl
includes Rockingham and Strafford
Counties, N.H., and York County,
Me.)
City of:
Portsmouth, N.H
Dover, N.H
Rochester, N.H
Total area actually reporting
Rate per 100,000 inhabitants
Ponhkeepsle, N.Y. M5jV.
(Includes Dutchess County.)
City of Poughkeepsie
Total area actually reporting
Rate per 100.000 inhabitants
ProrideiKc, RJ. MSJL
(Includes part of Bristol, Kent,
Newport, Providence and Washington
Counties.)
City of Providence
Total area actually reporting
Rate per 100.000 inhabitants
Pueblo, Co. M5ji
(Includes Pueblo County.)
City of Pueblo
Total area actually reporting
Rate per 100,000 inhabitants
RadM, WL M.SA.
(Includes Racine County.)
City of Racine
Total area actually reporting
Rate per 100,000 inhabitants
Raleigh-Dgrhim, N.C. MSA.
(Includes Durham, Franklin, Orange
and Wake Counties.)
City of:
Raleigh
Durham
Total area aaually reporting
Estimated total
Rate per 100,000 inhabitants
Rapid City, SJ). MSA.
(Includes Pennington County.)
City of Rapid City
Total area actually reporting
Rate per 100,000 inhabitants
Retding, Pa. MSA.
(Includes Berks County.)
City of Reading
Total area aaually reporting
Estimated total
Rate per 100,000 Inhabitants
2,055,«2
369,879
98.1%
100.0%
232,205
62,103
100.0%
1,239,842
437,319
99.6%
100.0%
210.918
665.6«0
734,924
32,386
69,092
70,164
3,413.5
7,257
13,409
5,774.6
48,545
81,473
81,704
6,589.9
25,925
1,480
25,042
1,049
26,630
1,453
100.0%
9,220
4,371.4
259,462
28,844
2,366
100.0%
8,956
3,451.8
160,728
18,602
100.0%
38,428
5,772.9
123,051
98,640
7,797
100.0%
8,722
7,088.1
175,034
84,298
7,135
100.0%
9,866
5,636.6
207,951
13,844
136,611
12,657
99.9%
42,148
100.0%
42,182
5,739.6
81443
54,523
3,437
100.0%
4,164
5,119.1
336,523
78,380
6,683
99.5%
11,550
100.0%
11,594
3,445.2
4,893
8,588
8,688
422 7
429
593
255,4
7,836
9,654
9,665
779.5
56
35
47
292
138.4
378
1,103
425.1
1,987
3,237
486.3
1,733
1,813
1,473.4
760
874
499.3
1,179
1,013
3,314
3,317
451.3
255
328
403.2
816
1,153
1,157
343.8
27,493
60,504
61,476
2,990.8
6,828
12,816
5,519.3
40,709
71,819
72,039
5,8103
1,424
1,014
1,406
8,928
4,232.9
1,988
7,853
3,026.6
16,615
35,191
5,286.6
6,064
6,909
5,614.7
6,375
8,992
5,137.3
12,665
11,644
38,834
38,865
5,288.3
3,182
3,836
4,715.8
5,867
10,397
10,437
3.101.4
35
66
67
3.3
33
55
55
4.4
3.8
5
10
3.9
31
37
5.6
6
7
5.7
10
II
6.3
24
23
69
69
9.4
2
2
2.5
9
12
12
3.6
302
620
626
305
37
50
21,5
424
671
672
54.2
81
38.4
17
42
16.2
97
184
27.6
102
116
94,3
26
34
19,4
96
79
259
259
35.2
37
62
76.2
34
68
68
20.2
2,319
3,083
3,103
151.0
121
151
65.0
2,541
3,100
3,103
250.3
7
9
13
47
22.3
214
306
117.9
860
992
149.0
140
143
116.2
307
332
189.7
388
431
1,000
1,001
136.2
23
28
34.4
390
415
416
123.6
2,237
4,819
4,892
238.0
269
388
167.1
4,838
5,828
5,835
470.6
18
12
23
156
74.0
142
745
287.1
999
2.024
304.1
1,485
1,547
1,257.2
417
497
283.9
671
480
1,986
1,988
270.5
193
236
290.1
383
658
661
196.4
5,988
13,421
13,593
661.3
1,572
2,751
1,184.7
8,967
16,219
16,262
1,311.6
259
77
181
1,481
702,2
425
1,647
634.8
4,480
8,920
1,340.0
1,683
1,911
1,553.0
1.647
2,174
1,242.0
2,856
3,881
11,026
11,034
1,501.4
464
608
747.5
1,585
2,529
2,536
753.6
12,871
31,490
32,171
1,565.1
4,739
9,258
3,987.0
25,933
46,921
47,082
3,797.4
1,078
906
1,168
7,050
3,342.5
1,365
5,686
2,191.5
7,596
18.948
2,846.5
4,040
4,627
3.760.2
4,334
6,271
3,582.7
9,021
7,062
25,503
25,524
3,473.0
2,582
3,057
3,758.2
3,361
6,648
6,676
1,983.8
8,634
15,593
15,712
764.4
517
807
347.5
5,809
8,679
8,695
701.3
87
31
57
397
188.2
198
520
200.4
4,539
7,323
1,100.1
341
371
301.5
394
547
312.5
788
701
2,305
2,307
313.9
136
171
210.2
921
1,220
1,225
364.0
See footnotes at end of table.
351
APPENDIX rv— Index of Crime, Metroi
toUtan Statistical Areas, 1990— Continued
Metropolitan Sutistical Area
Population
Crime
Indei
total
Modified
Crime
Index
total'
Violent
crime'
Property
crime'
Murder
and non-
negligent
man-
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson'
slaughter
Rcddim. Ca. MSA
147.036
(Includes Shasta County.)
City of Redding
66.462
4,374
379
3,995
3
50
94
232
994
2,670
331
Total area actually reporting
100.0%
7,332
617
6,715
6
86
123
402
1,938
4,220
557
Rate per 100,000 inhabitants
4,986.5
419.6
4,566.9
4.1
58.5
83.7
273.4
1,318.0
2,870.0
378.8
Reno. N». MSA.
254,667
(Includes Washoe County.)
City of Reno
133,850
11,558
1,061
10,497
11
143
370
537
1,812
7,961
724
Total area actually reporting
100.0%
17,540
1,604
15,936
13
246
462
883
3,101
11,742
1,093
Rate per 100,000 inhabitants
6,887.4
629.8
6,257.6
5.1
96.6
181.4
346.7
1,217.7
4,610.7
429.2
SkhUod-Keniwwick-Pasco, Wa.
MSA
150,033
(Includes Benton and Franklin
Counties.)
City of:
Richland
32,315
42,155
1,187
3,534
41
143
1,146
3,391
9
33
8
27
24
79
251
746
855
2,545
40
100
Kennewick
4
Pasco
20,337
2,678
184
2,494
5
10
45
124
607
1,765
122
Total area actually reporting
100.0%
9,299
608
8,691
13
83
84
428
2,128
6,212
351
Rate per 100,000 inhabitants
6,198.0
405.2
5,792.7
8.7
55.3
56.0
285.3
1,418.4
4,140.4
233.9
Rlclmiond-Feterslwrg, Va. MSA
865,640
(Includes Colonial Heights, Hopewell,
Petei^burg and Richmond Cities, and
Charles City, Chesterfield, Dinwiddie,
Goochland, Hanover, Henrico, New
Kent. Powhatan and Prince George
Counties.)
City of:
Richmond
203,056
23,043
3,229
19,814
113
180
1,281
1,655
4,396
13,001
2,417
Petersburg
38,386
2,871
487
2,384
4
38
156
289
578
1,606
200
Total area actually reporting
100.0%
51,822
5,116
46,706
162
366
1,830
2,758
9,322
33,577
3,807
Rate per 100,000 inhabitants
5,986.6
591.0
5,395.5
18.7
42.3
211.4
318.6
1,076.9
3,878.9
439.8
Roanoke. Vt. MSA
224,477
(Includes Roanoke and Salem Cities,
and Botetourt and Roanoke Counties.)
City of Roanoke
96,397
7,780
569
7,211
14
34
240
281
1,158
5,738
315
Total area actually repotting
100.0%
11,473
748
10,725
16
51
268
413
1,708
8.558
459
Rale per 100,000 inhabitants
5,111.0
333.2
4,777.8
7.1
22.7
119.4
184.0
760.9
3,812.4
204.5
RMhesttr, Mn, MSA
106,470
(Includes Olmsted County.)
Citv of Rochester . . .
70,745
3,341
98
3,243
13
17
68
486
2,614
143
Total area actually repotting
100.0%
3,906
120
3,786
1
17
19
83
688
2,919
179
Rate per 100,000 inhabitants
3,668.6
112.7
3,555.9
.9
16.0
17.8
78.0
646.2
2,741.6
168.1
Rochester, N,Y. MSA.
1,002,410
(Includes Livingston, Monroe, Ontario,
Orleans and Wayne Counties.)
City of Rochester
231,636
25,570
2,865
22,705
40
176
1,254
1,395
5,805
14,774
2,126
Total area actually reporting
99.1%
50,550
3,894
46,656
54
301
1,504
2,035
9,420
33,946
3,290
Estimated total
100.0%
50,882
5,076.0
3,922
391.3
46,960
4,684.7
54
5.4
302
30.1
1,512
150.8
2,054
204.9
9,477
945.4
34,164
3,408.2
3,319
331.1
Rate per 100,000 inhabitants
Sunmento. Ca. M3jV.
1,481,102
(Includes El Dorado, Placer,
Sacramento and Yolo Counties.)
City of Sacramento
369,365
33,710
3,978
29,732
43
211
1,790
1,934
6,966
16,219
6,547
Total area anually repotting
100.0%
98,093
10,641
87,452
119
669
3,383
6,470
22,161
51,292
13,999
Rate per 100,000 inhabitants
6,623.0
718.5
5,904.5
8.0
45.2
228.4
436.8
1,496.3
3,463.1
945.2
Stginaw-Biy CIty-Mldliiid, Ml,
MSA.
399J20
(Includes Bay. Midland and Saginaw
Counties.)
City of:
Saginaw
69,512
38,936
8,815
2,493
2,245
189
6,570
2,304
33
1
187
43
426
30
1,599
115
2,335
525
3,847
1,674
388
105
Bay City
Midland
Total area actually reporting
38,053
100.0%
1,435
23,130
63
1,372
14
3
46
142
1,172
58
3,519
19,611
40
368
582
2,529
4,736
13,885
990
Rate per 100,000 inhabitants
5,792.3
881.2
4,911.1
10.0
92.2
145.7
633.3
1,186.0
3,477.2
247.9
Sl Ootid, Mn. MSA.
190,921
(Includes Benton, Shcrtumc and
Steams Counties.)
City of St. Qoud
48,812
3,118
115
3,003
1
6
3.1
21
12
81
480
2,358
I6S
Total area artually repotting
100.0%
6,247
232
6,015
38
19
169
1,020
4,629
366
Rate per 100,000 inhabitants
3,272.0
121.5
3,150.5
19.9
10.0
88.5
534.3
2,424.6
191.7
See footnotes at end of table.
352
APPENDIX rv— Index of Crime, Metroi
ralitan Statistical
\reas, 1990— Continued
Metropolitan Sutistical Area
Population
Cnme
Index
total
Modified
Crime
Index
total'
Violent
cnme*'
Property
cnme'
Murder
and non-
negligent
man-
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson'
slaughter
St JoMph, Mo. M5A
83,083
(Includes Buchanan Counly.)
City of St. Joseph
71,852
4,367
560
3,807
4
16
26
514
908
2,696
203
Total area actually reporting
100.0%
4,528
589
3,939
4
18
30
537
957
2,772
210
Rate per 100,000 inhabitants
5,450,0
708.9
4,741.0
4.8
21.7
36.1
646.3
1,151.9
3,336.4
252.8
SL Louis. Mo.-D. MSA'
2,454,975
(Includes St. Louis and Sullivan Cities
and Franklin, Jefferson, St. Charles
and St. Louis Counties, Mo, and
Ointon, Jersey, Madison, Monroe, and
St. Clair Counties, 11.)
Cily of St. Louis
396,685
58,199
13,682
44,517
177
331
4,708
8,466
11,531
24,564
8,422
Total area actually reporting
99.2%
140,637
22,327
118,310
315
653
6,718
14,641
28,540
75,023
14,747
Estimated total
100.0%
141,586
22,396
119,190
316
657
6.737
14,686
28,705
75,663
14,822
Rate per 100,000 inhabitants
5,767.3
912.3
4,855.0
12.9
26.8
274.4
598.2
1,169.3
3,082.0
603.8
S«leiii, Or. MSA
277,478
(Includes Manon and Polk Counties.)
City of Salem
107,786
8.653
302
8,351
6
50
190
56
1,563
6,305
483
Total area actually reporting
99.3%
15,973
1,080
14,893
12
119
297
652
2,943
11,010
940
Estimated total
100.0%
16,070
5,791.5
1,085
391.0
14,985
5,400.4
12
4.3
120
43.2
298
107.4
655
236.1
2,961
1,067.1
11,077
3,992.0
947
341.3
Rate per 100,000 inhabitants
Salciii-Gloiicester Ma. MSA.
264J56
(Includes part of Essex County.)
City of:
Salem
38,091
1,977
243
1,734
12
61
170
449
919
366
Gloucester
28,716
953
265
688
2
1
262
142
494
52
Total area actually reporting
96.6%
9,857
825
9,032
1
30
163
631
1,851
5,782
1,399
Estimated total
100.0%
10,191
3,855.0
858
324.6
9,333
3,530.5
1
.4
31
11.7
170
64.3
656
248.2
1,921
726.7
5,960
2,254.5
1,452
549.3
Rale per 100,000 inhabitants
StUuB-Seasidt-MoDterey, Ca.
MSA.
355,660
(Includes Monterey County.)
City of:
Salinas
108,777
8,089
1,102
6,987
11
50
262
779
1,419
4,975
593
Seaside
38,901
1,624
367
1,257
4
19
81
263
228
902
127
Monterey
31,954
2,195
185
2,010
1
17
36
131
422
1,506
82
Total area actually reporting
100.0%
18,077
2,314
15,763
28
163
466
1,657
3,833
10,840
1,090
Rate per 100,000 inhabitants
5,082.7
650.6
4,432.0
7.9
45.8
131.0
465.9
1,077.7
3,047.9
306.5
Sdt Lake Clty-Ogden, UL MSA
1,072,227
(Includes Davis, Salt Lake and Weber
Counties.)
City of:
Salt Lake City
159,936
20,002
1,355
18.647
25
167
539
624
3,501
13,949
1,197
Ogden
63,909
5,803
326
5.477
1
46
66
213
794
4,437
246
Total area aaually reporting
100.0%
73,765
4,016
69,749
41
497
924
2,554
11,661
54,864
3,224
Rate per 100,000 inhabitants
6,879.6
374.5
6,505.1
3.8
46.4
86.2
238.2
1,087.5
5,116.8
300.7
Su ABgek), T)L MSA
98,458
(Includes Tom Green County.)
City of San Angelo
84,474
5,970
516
5,454
5
57
41
413
1,539
3,704
211
Total area actually reporting
100.0%
6,421
615
5,806
5
60
45
505
1,662
3,922
222
Rate per 100,000 inhabitants
6,521.6
624.6
5,896.9
5.1
60.9
45.7
512.9
1,688.0
3,983.4
225.5
Sui Antonio, Tx. MSA
132,099
(Includes Bexar, Comal and
Guadalupe Counties.)
City of San Antonio
935,933
116,774
5,730
111,044
208
430
2,864
2,228
26,015
70,150
14,879
Total area actually reporting
100.0%
136,457
7,165
129,292
233
534
3,094
3,304
31,748
80,842
16,702
Rate per 1 00,000 inhabitants
10,479.8
5503
9.929.5
17.9
41.0
2376
253.7
2,438.2
6,208.6
1,282.7
Su Diego, Ca. MSA
2,498,016
(Includes San Diego County.)
City of San Diego
1,110,549
101,564
12,047
89,517
135
439
4,331
7,142
16,691
48,581
24,245
100.0%
178,600
21,213
157,387
216
899
6,705
13,393
33,877
84,632
38,878
Rate per 100,000 inhabitants
7,149.7
849.2
6,300.5
8.6
36.0
268.4
536.1
1,356.2
3,388.0
1,556.4
San FrrndKo, Ca. MSA
1,603,678
(Includes Mann, San Francisco and
San Mateo Counties.)
City of San Francisco
723.959
69,950
12,388
57,562
101
419
7,053
4,815
10,618
35,583
11,361
Total area actually reporting
100.0%
109,525
16,309
93,216
148
605
8,196
7,360
16,703
60,836
15,677
Rate per 100,000 inhabitants
6,829.6
1,017.0
5,812.6
9.2
37.7
511.1
458.9
1,041.5
3,793.5
977.6
Su JoM, Ca. MSA
1,497,577
(Includes Santa Oara County.)
City of San Jose
782,248
38,090
4,698
33,392
35
416
1,034
3,213
5,752
23,435
4,205
Total area actually reporting
100.0%
69,524
7,267
62,257
57
645
1,561
5,004
10,917
44,677
6,663
4,642.4
485.3
4,157,2
3.8
43.1
104.2
334.1
729.0
2,983.3
444.9
See footnotes at end of table.
353
APPENDIX rv— Index of Crime. MetropoliUn Statistical Areas, 1990 — Continued
Metropolitan Statistical Area
Population
Crime
Index
total
Modified
Crime
Index
total'
Violent
crime'
Property
aime'
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Suti Bartnn-Sula Mtrii-Lompoc,
QuMSA
(Includes Santa Barbara County.)
City of:
Santa Barbara
Santa Maria
Lompoc
Total area actually reporting
Rate per 100,000 inhabitants
Suti Cnu, Ci. MSA.
(Includes Santa Cniz County.)
City of Santa Cruz
Total area actually reporting
Rate per 1 00,000 inhabitants
Suta RoM-Petalimu, Ca. M,S^
(Includes Sonoma County.)
City of:
Santa Rosa
Petaluma
Total area actually reporting
Rate per 100,000 inhabitants
Suiaoti, FI. MSA.
(Includes Sarasota County.)
City of Sarasota
Total area actually reporting
Rate per 100,000 inhabitants
SiTUiuh, Ga. M,Sjt
(Includes Chatham and EfTingham
Counties.)
City of Savannah
Total area actually reporting
Rate per 100,000 inhabitants
Sorttle, Wa. MSA.
(Includes King and Snohomish
Counties.)
City of Seattle
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Sbaroi, Pa. M,SjL
(Includes Mercer County.)
City of Sharon
Total area actually reporting
Rate per 100,000 inhabitants
Shdnnu, WL MSA.
(Includes Sheboygan County.)
City of Sheboygan
Total area actually reporting
Rate per 100,000 inhabitants
Shenmu-Dcnison, Tx. MSA
(Includes Grayson County.)
City of
Sherman
Denison
Total area actually reporting
Rate per 100,000 inhabitants
Shmeport, L*. M,SA.
(Includes Bossier and Caddo
Parishes.)
City of Shrevepoit
Total area actually reporting
Rate per 100,000 inhabitants
Skm City, U.-Ne. MSA.
(Includes Woodbury County, la, and
Dakota County, Ne.)
City of Sioux City
Total area actually reporting
Rate per 100,000 inhabitants
Slon Falb, SJ). M,SjL
(Includes Minnehaha County.)
City of Sioux Falls
Total area actually reporting
Rate per 100,000 inhabitants
mm
85,571
5,091
61,284
4,370
37,649
1,958
100.0%
17,299
4,680,4
2M,734
49,040
4,567
100.0%
13,719
5,971.7
388,222
113,313
6,634
43,184
1,616
100.0%
16,811
4,330.3
274,314
50,961
7,869
100.0%
20,459
7,458.2
242,622
137,560
100.0%
1,972,322
9i,021
31,601
21,505
100.0%
334J41
13,179
19,103
7,873.6
516,259
65,053
99.9%
139,909
100.0%
139,984
7,097.4
121,003
17,493
568
100.0%
2,445
2,020.6
103,877
49,676
3,136
100.0%
4,239
4,080.8
3,134
2,165
6,465
6,803.8
198,525
100.0%
115,018
21,324
27,633
8,264.9
80,505
100.0%
123,809
5,962
6,844
5,950.4
100,814
100.0%
4,474
4,959
4,005.4
626
379
194
1,717
464.5
341
1,099
478.4
616
136
1,578
406.5
906
1,773
646.3
1,491
2,035
838.8
7,780
11,837
11,841
600.4
66
217
179.3
126
164
157.9
222
208
483
508.3
2,526
3,174
949.3
475
498
433.0
310
335
270.6
4,465
3,991
1,764
15,582
4,215.8
4,226
12,620
5,493.3
6.018
1,480
15,233
3,923.8
6,963
18,686
6,811.9
11,688
17,068
7,034.8
57,273
128,072
128,143
6,497,1
502
2,228
1,841,3
3,010
4,075
3,922.9
2,912
1,957
5,982
6,295.5
18,798
24,459
7,315.6
5,487
6,346
5,517.4
4,164
4,624
3,734.8
5
2
1
11
3.0
11
4.8
16
4.1
10
20
7.3
33
43
17.7
53
95
95
4.8
3
14
14.7
65
75
22.4
26
36
25
143
38.7
32
83
36.1
62
9
143
36.8
53
103
37.5
102
165
68.0
481
1,337
1.338
67.8
15
12.4
4
8
7.7
20
6
38
40.0
133
172
51.4
38
41
35.6
81
85
68.7
130
92
34
301
81.4
102
261
113.6
155
26
275
70.8
336
458
167.0
779
897
369.7
2,695
3,754
3,755
190.4
23
41
33.9
13
14
13.5
82
40
127
133.7
884
964
288.3
73
76
66.1
33
34
27.5
465
249
134
1,262
341.4
207
744
323.9
398
101
1,144
294.7
507
1,192
434.5
577
930
383.3
4,551
6,651
6,653
337.3
43
160
132.2
109
142
136,7
112
159
304
319.9
1,444
1,963
587.1
363
380
330.4
192
212
171.2
1,087
874
343
4,122
1,115.2
910
2,970
1,292.8
1,362
^93
4,063
1,046,6
1,922
5,112
1,863.6
2,763
4,215
1,737.3
11,181
25,717
25,729
1,304.5
117
445
367.8
420
636
612.3
801
565
1,890
1,989.0
5,117
6,610
1,977.0
1,423
1,597
1,388.5
579
727
587.2
3,030
2,923
1,334
10,553
2,855.2
2,883
8,646
3,763.5
4,119
1,093
9,952
2,563.5
4,702
12,759
4,651.2
7,991
11,516
4,746.5
39,522
89,861
89,915
4,558.8
338
1,609
1.329.7
2,522
3,335
3,210.5
1,931
1,271
3,738
3,933.9
12,828
16,663
4,983.8
3,854
4,509
3,920.3
3,450
3,749
3,028.1
348
194
87
907
245.4
433
1,004
437.0
537
94
1,218
313.7
339
815
297.1
934
1,337
551.1
6,570
12,494
12,499
633.7
47
174
143.8
68
104
100.1
180
121
354
372.5
853
1,186
354.7
210
240
208.7
135
148
119.5
See footnotes at end of table.
354
APPENDIX rv— Index of Crime, Metropolitan Statistical Areas, 1990— Continued
Metropolitan Statistical Area
Population
Crime
Index
total
ModiHed
Crime
Index
total'
Violent
crime^
Property
Murder
and non-
negligent
Bian-
slaugbter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Lanxny-
tlieft
Motor
vehicle
theft
SpokiM, Wa. MSA
(Includes Spokane County.)
City of Spokane
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
Springfield, D. M,SA<
(Includes Menard and Sangamon
Counties.)
City of Springfield'
Total area actually reporting
Estimated total
Rate per 100,000 Inhabitants
Springfleld, Mo. M5jL
(Includes Christian and Greene
Counties.)
City of Springfield
Total area actually reporting
Rale per 100,000 Inhabitants
SpriigBeld, Ma. M,SjV.
(Includes part of Hampden and
Hampshire Counties.)
City of Springfield
Total area aaually reporting
Estimated total
Rate per 100.000 inhabitants
Stanrfofd, Ct M5A
(Includes part of Fairfield County.)
City of Stamford
Total area aaually reporting
Rate per 100,000 Inhabitants
SlenbenriUe-Welrton, Oh.-W.V. MSJi.'
(Includes Jefferson County, Oh., and
Brooke and Hancock Counties, W.V.)
City of:
SteubenvlUe, Oh.'
Weitton, W,V
Total area aaually reponing
Rate per 100,000 Inhabitants
Stockton, Ca. M,SA.
(Includes San Joaquin County.)
City of Stockton
Total area aaually reporting
Rate per 100,000 Inhabitants
Synaat, N.Y. MSA.
(Includes Madison, Onondaga and
Oswego Counties.)
City of Syracuse
Total area artually reporting
Estimated total
Rate per 100,000 inhabitants
Taconia, Wt. MSA.
(Includes Pierce County.)
City of Tacoma
Total area aaually reporting
Estimated total
Rate per 100,000 inhabitants
Tenrkina, Tx.-Texarkana, Ar.
MSA.
(Includes Bowie County, Tx., and
Miller County, Ar.)
City of:
Teurkana, Ti
Texarkana, Ar
Total area aaually reporting
Rale per 100,000 inhabitants
Toledo, Oh. MSA.
(Includes Fulton, Lucas and
Wood Counties.)
City of Toledo
Total area aaually reporting
Estimated total
Rate per 100,000 inhabitants
361J64
177,196
96.3%
100.0%
lg9,SS0
105,227
97.6%
100.0%
240,S93
140,494
100.0%
538,506
142,523
660,240
120,132
31,656
22,631
100.0%
614,12«
332,943
99.3%
100.0%
15,289
22,104
23,050
6,378.6
12,549
14,687
6,104.5
156,983
14,648
85.8%
27,891
100.0%
30,731
5.706.7
202,557
108,056
6,625
100.0%
9,212
4,547.9
22,125
22,124
578
100.0%
3,372
2,365.9
480,628
210,943
24,265
100.0%
40,006
8,323.7
163,860
11,314
99.6%
27,129
100.0%
27,230
4,124.3
586,842
176,664
20,805
98.9%
40,947
100.0%
41,385
7,052.2
2,940
3,238
7,822
6,511.2
31,994
43,858
44,044
7,171.8
1,107
1,327
1,374
380.2
571
648
269.3
3.412
4,532
4,819
894.9
538
592
292.3
38
353
247.7
2,627
3,937
819.1
1,400
1,910
1,919
290.7
3,096
4,878
4,900
835.0
301
361
801
666.8
3,541
4,191
4,201
684.1
14,182
20,777
21,676
5.998,4
11,978
14,039
5,835.2
11,236
23,359
25,912
4,811.8
6,087
8,620
4,255.6
1,248
540
3,019
2,118.3
21,638
36,069
7,504.6
9,914
25,219
25.311
3,833.6
17,709
36,069
36,485
6,217.2
2,639
2,877
7,021
5,844.4
28,453
39,667
39,843
6,487.7
7,376
12
8,730
12
8,936
12
4,714.3
6.3
10
10
4.9
51
78
16.2
14
18
18
2.7
25
45
45
7.7
3
2
II
9.2
37
43
43
7.0
98
144
152
42.1
58
66
27.4
132
242
254
47.2
18
21
10.4
12
3
22
15.4
168
295
61.4
118
187
187
28.3
245
523
527
89.8
20
17
60
49.9
422
493
494
80.4
315
354
366
101.3
206
228
234
123.5
139
155
64.4
999
1,179
1,239
230.1
237
267
131.8
26
9
44
30.9
1,305
1.606
334.1
494
593
596
90.3
969
1,315
1,321
225.1
67
114
195
162.3
1,748
1,891
307.9
686
817
843
233.3
737
869
879
463.7
367
419
174.2
2,268
3,092
3,306
613.9
273
294
145.1
26
286
200.7
1,103
1,958
407.4
774
1,112
1.118
169.3
1,857
2,995
3,007
512.4
211
228
535
445.3
1,334
1,767
1.773
288.7
3,579
5,450
5,605
1,551.1
1,809
2,321
2,359
1,244.5
2,354
2,999
1,246.5
3,530
6,518
7,111
1,320.5
1,512
2,044
1,009.1
386
126
864
606.2
5,070
9,120
1,897.5
2,999
5,698
5,715
865.6
3,956
8,192
8,264
1,408.2
689
508
1,683
1,401.0
6,268
8,174
8,203
1,335.7
9,878
14,191
14,874
4,116.1
5,281
6,045
6,194
3,267.7
9,193
10,523
4,373.8
4,816
12,532
14,041
2,607.4
3,586
5,354
2,643.2
770
361
1,902
1,334.5
13,037
21,981
4,573.4
6,326
18,414
18,480
2,799.0
11,975
24,641
24,957
4,252.8
1,791
2,259
4,948
4.118.8
17,571
26,121
26,253
4,274.8
725
1,136
1,197
331.2
286
364
383
202.1
431
517
214.9
2,890
4,309
4,760
883.9
989
1,222
603.3
92
53
253
177.5
3,531
4,968
1,033.6
589
1,107
1.116
169.0
1,778
3,236
3.264
556.2
159
110
390
3246
4.614
5.372
5,387
877.2
See footnotes al end of table.
355
APPENDIX rv— Index of Crime, Metropolitan Statistical Areas, 1990— Continued
Metropolitan Statistical Area
Population
Crime
Index
total
Modified
Crime
Index
total'
Violent
crime^
Property
crime^
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Topelu, Us. MSA,
(Includes Shawnee County.)
City of Topelca
Total area actually reporting
Rate per 100,000 inhabitants
Trenton, NJ. MSA.
(Includes Mercer Comity.)
City of Trenton
Total area actually reporting
Rate per 100,000 inhabitants
Tnscon, Az. MSA
(Includes Pima County.)
City of Tucson
Total area actually reporting
Rate per 100,000 inhabitants
Tnl»«,Ok. MSA
(Includes Creek, Osage, Rogers,
Tulsa and Wagoner Counties.)
City of Tulsa
Total area actually reporting
Rate per 100,000 inhabitants
Tnscaloosa, AI. MSA
(Includes Tuscaloosa County.)
City of Tuscaloosa
Total area actually reporting
Rate per 100,000 inhabitants
Tyler, Tx. MSA
(Includes Smith County.)
City of Tyler
Total ai«a actually reporting
Rate per 100.000 inhabitants
Utici-Ronie, N.Y. MSA
(Includes Herkimer and Oneida
Counties.)
City of:
Utica
Rome
Total area actually reporting
Estimated total
Rate per 100,000 inhabitants
VaUejo-Fiirfield-Napa, Ct. MSA
(Includes Napa and Solano Counties.)
City of:
VaUejo
Fairfield
Napa
Total area actually reporting
Rate per 100,000 inhabitants
VuKoover, Wg, MSA
(Includes Oark County.)
City of Vancouver
Total area actually reporting
Rate per 100,000 inhabitants
Victoria, Tx. M5A
(Includes Victoria County.)
City of Victoria
Total area actually reporting
Rate per 100,000 inhabitants
Vinelind-MUlYille-Bridgeton, NJ.
MSA
(Includes Cumberiand County.)
City of
Vineland
MiUville
Bridgelon
Total area actually reporting
Rale per 100,000 inhabitants
160,976
119,883
100.0%
325,824
88,675
100.0%
666,880
405,390
100.0%
708,954
367,302
100.0%
150,482
77,759
100.0%
151,243
75,450
100.0%
314,311
68,637
44,350
99.1%
100.0%
451,186
11,416
12,685
7,880.1
9,172
19,066
5,851.6
48,158
62,929
9,436.3
35,020
47,508
6,701.1
7,915
11,165
7,419.5
8.469
11,264
7,447.6
3,361
1,144
9,031
9,134
2,906.0
109,199
8,515
77,211
6,019
61,842
3.469
100.0%
25,577
5,668.8
240377
46,380
2,959
100.0%
10,012
4,165.1
74,361
55,076
4,371
100.0%
4.891
6,577.4
138,053
54,780
25,992
18,942
100.0%
4,382
1,498
1,761
8,708
6,307.7
1,162
1,270
788.9
1,761
2,160
662.9
3,680
4,608
691.0
4,898
5,920
835.0
1,097
1,469
976.2
649
883
583.8
207
51
465
474
150.8
1,502
743
238
3,209
711.2
273
544
226.3
537
575
773.3
469
205
340
1,170
847.5
10.254
11,415
7,091.1
7,411
16,906
5,188.7
44,478
58,321
8,745.4
30,122
41,588
5,866.1
6,818
9,696
6,443.3
7,820
10,381
6,863.8
3,154
1,093
8,566
8,660
2,755.2
7,013
5,276
3,231
22,368
4,957.6
2,686
9.468
3,938.8
3,834
4,316
5,804.1
3,913
1,293
1,421
7,538
5,460.2
II
n
6.8
21
25
7.7
57
70
9.9
II
15
10.0
12
17
11.2
7
7
2.2
2
1
22
4.9
3
12
5.0
6
7
9.4
4
2
4
13
9.4
80
87
54.0
117
145
44.5
290
387
58.0
382
478
67.4
59
64
42.5
70
106
70.1
15
10
41
41
13.0
52
38
15
174
38.6
42
107
44.5
23
32
43.0
33
14
16
81
58.7
290
304
694
863
264.9
902
1,082
162.2
1,539
1,660
2341
199
244
162.1
164
185
122.3
136
6
155
158
50.3
448
136
39
751
1665
75
127
52.8
63
67
90.1
210
65
80
363
262.9
781
868
539.2
929
1,127
345.9
2.458
3,088
463.1
2,920
3,712
523.6
828
1,146
761.6
403
575
380.2
50
35
262
268
85.3
994
567
183
2,262
501.3
153
298
124.0
445
469
630.7
222
124
240
713
516.5
2,878
3,295
2,046.9
1,874
3,494
1,072.4
7,909
10,573
1,585.4
8.200
11,590
1,634.8
1,394
2,075
1,378.9
1,851
2,646
1,749.5
871
289
2,240
2,258
718.4
1,500
842
588
4,628
1,025.7
679
2,293
953.9
1,105
1,285
1,728.1
321
389
1,891
1,369.8
6,948
7,660
4,758.5
3,061
9,428
2,893,6
34,101
44,473
6,668.8
14,323
21,214
2,992.3
5,025
7,100
4,718.2
5,516
7,142
4,722.2
2,020
747
5,861
5,928
1.886.0
4,295
3,962
2,481
15,274
3,385.3
1,756
6,454
2,684.9
2,565
2,858
3,843.4
2,770
882
967
5,138
3,721.8
428
460
285.8
2,476
3,984
1,222.7
2,468
3,275
491.1
7,599
8,784
1,239.0
399
521
346.2
453
593
392.1
263
57
465
474
150.8
1,218
472
162
2,466
546.6
251
721
299.9
164
173
232.6
255
90
65
509
368.7
See footnotes at end of table.
356
APPENDK rv— Index of Crime, Metro
ralitan Statistical
Areas, 1990— Continued
Metropolitan Sutistical Area
Population
Cnme
Index
total
Modified
Crime
Index
total'
Violent
cnme'
Property
cnme'
Murder
and non-
negligent
man-
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson'
slaughter
VbtlitTulire-Portenille, Ci.
MSA.
311,921
(Includes Tulare County.)
City of:
Visalia
75,636
5,379
559
4,820
7
19
128
405
996
3,494
330
Tulare
33,249
1,497
223
1,274
4
21
80
118
470
583
221
- PorterviUe
29,563
2,165
189
1,976
2
21
35
131
549
1,216
211
Total area actually repotting
100.0%
16.756
2,266
14,490
27
109
370
1,760
3,842
9,326
1,322
Rate per 100,000 inhabitants
5.371.9
726.5
4,645.4
8.7
34.9
118.6
564.2
1,231.7
2,989.9
423.8
Wicn,Tx. M5j\
189,123
(Includes McLennan County.)
City of Waco
103,590
11,204
1,366
9,838
22
108
354
882
3,171
6,030
637
Total area actually reporting
100.0%
14,591
1.568
13,023
28
126
384
1,030
4,202
8,039
782
Rate per 100,000 inhabitants
7,715.1
8291
6,886,0
14.8
66.6
203.0
544.6
2,221.8
4,250.7
413.5
Wishingtoii. D.C.-Md.-Vi. MSA
3,923,574
(Includes Disthcl of Columbia.
Calvert, Charles, Fredenck,
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, DC
606,900
65,389
14,919
50,470
472
303
7,365
6,779
12,035
30,326
8,109
Total area actually reporting
100.0%
223,076
30,762
192,314
684
1,379
13,990
14,709
36,953
127,929
27,432
Rate per 100.000 inhabitants
5,685,5
784.0
4,901.5
17,4
35.1
356.6
374.9
941.8
3,260.5
6992
Witertmry, Ct M5jV.
1M,834
(Includes part of Litchfield and New
Haven Counties.)
City of Watcrbury
108,961
10,066
656
9,410
5
32
272
347
2,595
5,234
6,609
1,581
1,772
Total area actually repotting
100.0%
12,226
732
11,494
7
46
284
395
3^113
Rate per 100.000 inhabitants
6,543.8
391.8
6,152.0
3.7
24,6
152.0
211.4
1,666.2
3,537.4
948.4
WtteriooCedar FalK U. MSA.
14«,611
(Includes Black Hawk and Bremer
Counties.)
City of:
Waterloo
66,467
4,596
313
4,283
6
23
92
192
1,462
2,643
178
Cedar Falls
34,298
1,051
27
1,024
3
3
21
168
824
32
Total area actually leporting
100.0%
6,737
490
6,247
6
31
97
356
1,850
4,165
232
Rate per 100,000 inhabitants
4,595.2
334.2
4,260.9
4.1
21.1
66.2
242.8
1,261.8
2,840.9
158.2
WiMHi, WL MSA
134J82
(Includes Marathon County.)
City of Wausau
37,060
1,979
44
1,935
5
7
32
281
1,576
78
Total area actually reporting
100.0%
4,652
158
4,494
15
10
133
682
3,629
183
Rate per 100,000 inhabitants
3,461.8
117.6
3,344.2
11.2
7.4
99.0
507.5
2,700.5
136,2
Wheeling, W.V.^h. MSA.
159,3*1
(Includes Mai^all and Ohio Counties,
W,V„ and Belmont County, Oh.)
City of:
Wheeling
34,882
1,030
152
878
1
11
44
96
345
413
120
Total area actually reporting
95.0%
2,923
247
2,676
5
19
59
164
859
1,558
259
Estimated total
100.0%
3,259
266
2,993
5
21
65
175
912
1,796
285
Rate per 100,000 inhabitants
2,045.8
167.0
1,878.8
3.1
13.2
40.8
109.9
572.5
1,127.4
178.9
WIchta, Ka. M5A
486,599
(Includes Butler, Harvey, and Sedgwick
Counties.)
City of Wichita
304,011
27,141
2,189
24,952
18
321
1,079
771
6,230
16,550
2,172
Total area actually reporting
100.0%
32,997
2,657
30,340
19
371
1,130
1,137
7,720
20,204
2,416
Rate per 100,000 inhabitants
6,781.1
546.0
6,235.1
3.9
76.2
232.2
233.7
1,586.5
4,152.1
496.5
Wichita Fills, Tx. MSA.
122J78
(Includes WichiU County.)
City of WichiU Falls
96,259
10,785
866
9,919
11
74
326
455
2,744
6,687
488
Total area actually reporting
100.0%
11,599
946
10,653
11
80
334
521
3,011
7,120
522
Rate per 100,000 inhabitants
9,478.0
773.0
8,705.0
9.0
65.4
272.9
425.7
2,460.4
5,818.0
426.5
WUinliVtoii, De.-NJ.-Md. MSA.
578,587
(Includes New Castle County,
De., Salem County, N.J., and
Cecil County, Md.)
City of Wilmmgton, De
71,529
8.046
1,242
6,804
7
107
547
581
1,509
4,355
940
Total area actually reporting
100.0%
30,047
3,385
26,662
22
356
1,012
1,995
5,743
18,105
2,814
Rate per 1 00,000 inhabitants
5,193.2
585.0
4,608,1
3.8
61.5
174.9
344.8
992.6
3,129.2
486,4
See footnotes at end of table.
APPENDIX rv— Index of Crime, Metroi
wlitan Statistical Areas, 1990 — Continued
Metropolitan Statistical Area
Population
Crime
Index
total
Modified
Crime
Index
total'
Violent
crime'
Property
crime'
Murder
and non-
negligent
man-
slaughter
Forcible
rape
Robbery
Aggra-
vated
assault
Burglary
Larceny-
theft
Motor
vehicle
theft
Arson'
WilmiDgton, N.C. MSA
120,284
(Includes New Hanover County.)
City of Wilmington
55,530
6,593
646
5,947
5
57
192
392
1,741
3,857
349
Total area actually reporting
99.5%
10,419
900
9,519
6
70
220
604
2,805
6,228
486
Estimated total
100.0%
10,468
8,702.7
905
752.4
9,563
7,950.4
6
5.0
70
58.2
221
183.7
608
505.5
2,817
2,342.0
6,258
5,202.7
488
405.7
Rate per 100,000 inhabitants
Yikiiiu, Wa. M.SjV
188,823
(Includes Yakima County.)
ritv of Yakima
54,827
7,675
718
6,957
1
55
163
499
1.579
4,995
383
Total area actually reporting
98.9%
15,967
1,193
14,774
II
155
228
799
4,130
9,841
803
Estimated total
100.0%
16.112
8,532.9
1,200
635.5
14,912
7,897.3
II
5.8
156
82.6
230
121.8
803
425.3
4,154
2,199.9
9.946
5,267.4
812
430.0
Rate per 100,000 inhabitants
York. Pa. MSA
417,848
(Includes Adams and York Counties.)
City of York
42.192
3,094
307
2,787
3
37
153
114
608
1,999
180
Total area actually reporting
100.0%
11,400
755
10,645
13
82
221
439
2,210
7,847
588
Rate per 100,000 mhabitants
2,728.3
180.7
2,547.6
3.1
19.6
52.9
105.1
528.9
1,878.0
140.7
Yiibi Citv Ca. MSA
122,643
(Includes Sutter and Yuba Counties.)
City of Yuba City
27,437
2,260
178
2,082
4
21
32
121
509
1.419
154
Total area actually reportmg
100.0%
7,044
991
6,053
15
53
94
829
1,761
3,864
428
Rate per 100,000 inhabitants
5,743.5
808.0
4,935.5
12.2
43.2
76.6
675.9
1,435.9
3,150.6
349.0
Sui Joan, Puerto Rico MSA.^
Total area actually reporting
100.0%
80,982
21,226
59,756
407
232
16,772
3,815
19,797
23,702
16,257
AgwuUUi, Puerto Rico MSA:
Total area actually reporting
100.0%
3,927
670
3,257
9
18
243
400
1.419
1,566
272
Aredbo, Puerto Rico M5A.'
Total area aaually reporting
100.0%
4.448
649
3,799
15
21
263
350
1,596
1,748
455
Cajuu, Puerto Rico MSAP
Total area actually reporting
100.0%
8.623
1,818
6,805
53
27
1,175
563
3,375
2,292
1.138
Mayaguei, Puerto Rico MSA.''
Total area actually reporting
100.0%
5,864
1,096
4,768
15
31
463
587
1,770
2,534
464
Ponce, Puerto Rico M.S.A.'
Total area actually reporting
100.0%
8,652
2,196
6,456
55
21
1,403
717
2,250
3,649
557
'Although arson data are included in the trend and clearance tables, sufficient data are not available to estimate totals for this offense. Arson data for individual cities are shown in Table 6.
Violent crimes are offenses of murder, forcible rape, robbery and aggravated assault.
'Property crimes are offenses of burglary, larceny-theft, and motor vehicle theft. Data are not included for the property crime of arson.
'Forcible rape figures furnished by the state-level Uniform Crime Reporting (UCR) Program administered by the Illinois Department of State Police were not in accordance with national
UCR guidelines. Therefore the figures were excluded from the forcible rape, violent crime, and Crime Index total categories.
'1990 figures are not comparable to prior years due to a change in reporting procedures.
•Aggravated assault figures are not comparable to prior years due to a change in reporting procedures.
The 1990 Bureau of the Census decennial census counts for the individual Puerto Rico MSA's were not available prior to publication; therefore no population or data representing the rale per
100,000 inhabitants are shown.
358
APPENDIX V
DIRECTORY OF UNIFORM CRIME REPORTING
PROGRAMS
Alabama
Alaska
American Samoa
Arizona
Arkansas
California
Colorado
Connecticut
Delaware
Alabama Criminal Justice Information Center
858 South Court Street
Montgomery, Alabama 36130
(205) 832-4930
Uniform Crime Reporting Section
Department of Public Safety Information System
5700 East Tudor Road
Anchorage, Alaska 99507
(907) 269-5659
Commissioner
Department of Public Safety
Post Office Box 1086
Pago Pago
American Samoa 96799
Uniform Crime Reporting
Arizona Department of Public Safety
Post Office Box 6638
Phoenix, Arizona 85005
(602) 223-2263
Arkansas Crime Information Center
One Capitol Mall, 4D-200
Little Rock, Arkansas 72201
(501) 682-2222
Bureau of Criminal Statistics
Department of Justice
Post Office Box 903427
Sacramento, California 94203
(916) 739-5173
Uniform Crime Reporting
Colorado Bureau of Investigation
690 Kipling Street
Denver, Colorado 80215
(303) 239-4300
Uniform Crime Reporting Program
294 Colony Street
Meriden, Connecticut 06450
(203) 238-6653
State Bureau of Identification
Post Office Box 430
Dover, Delaware 19901
(302) 739-5875
359
APPENDK V— DIRECTORY OF UNIFORM CRIME REPORTING PROGRAMS— Continued
Data Processing Division
Metropolitan Police Department
300 Indiana Avenue, Northwest
Washington, D.C. 20001
(202) 727-4301
Uniform Crime Reports Section
Special Services Bureau
Florida Department of Law Enforcement
Post Office Box 1489
Tallahassee, Florida 32302
(904) 487-1179
Georgia Crime Information Center
Georgia Bureau of Investigation
Post Office Box 370748
Decatur, Georgia 30037
(404) 244-2614
Guam Police Department
Planning, Research and Development
Pedro's Plaza
287 West O'Brien Drive
Agana, Guam 96910
(670) 332-6311
Hawaii
Idaho
Illinois
Iowa
Kansas
Kentucky
Hawaii Criminal Justice Data Center
Department of the Attorney General
Kekuanao'a Building, Room 101
465 South King Street
Honolulu, Hawaii 96813
(808) 548-2090
Criminal Identification Bureau
Department of Law Enforcement
6062 Corporal Lane
Boise, Idaho 83704
(208) 327-7130
Bureau of Identification
Illinois Department of State Police
726 South College Street
Springfield, Illinois 62704
(217) 782-8263
Iowa Department of Public Safety
Wallace State Office Building
Des Moines, Iowa 50319
(515) 281-7962
Kansas Bureau of Investigation
1620 Southwest Tyler Street
Topeka, Kansas 66612
(913) 232-6000
Kentucky State Police
Information Services Branch
919 Versailles Road
Frankfort, Kentucky 40601
(502) 227-8717
360
APPENDIX V— DIRECTORY OF UNIFORM CRIME REPORTING PROGRAMS— Continued
Maine
Maryland
Massachusetts
Michigan
Minnesota
Montana
Nebraska
New Hampshire
New Jersey
New York
Uniform Crime Reporting Division
Maine State Police
Station 42
36 Hospital Street
Augusta, Maine 04333
(207) 621-1200
Central Records Division
Maryland State Police Department
1201 Reistertown Road
Pikesville, Maryland 21208
(301) 653-6156
Criminal History Systems Board
1010 Commonwealth Avenue
Boston, Massachusetts 02215
(617) 727-0090
Uniform Crime Reporting Section
Michigan State Police
7150 Harris Drive
Lansing, Michigan 48913
(517) 322-5542
Criminal Justice Information Systems
1246 University Avenue
St. Paul, Minnesota 55104
(612) 642-0670
Montana Board of Crime Control
303 North Roberts
Helena, Montana 59620
(406) 444-3604
Uniform Crime Reporting Section
The Nebraska Commission on Law
Enforcement and Criminal Justice
Post Office Box 94946
Lincoln, Nebraska 68509
(402) 471-3982
Uniform Crime Report Supervisor
Division of State Police
10 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
Statistical Services
New York State Division of Criminal
Justice Services
Executive Park Tower
Stuyvesant Plaza
Albany, New York 12203
(518) 457-8381
361
APPENDIX V— DIRECTORY OF UNIFORM CRIME REPORTING PROGRAMS— Continued
North Carolina
North Dakota
Oklahoma
Oregon
Pennsylvania
Puerto Rico
Rhode Island
South Carolina
South Dakota
Texas
State Bureau of Investigation
Division of Criminal Information
407 North Blount Street
Raleigh, North Carolina 27601
(919) 733-3171
Criminal Justice Training and Statistics Division
Attorney General's Office
State Capitol Building
Bismarck, North Dakota 58505
(701) 221-6180
Uniform Crime Reporting Section
Oklahoma Bureau of Investigation
Suite 300
6600 North Harvey
Oklahoma City, Oklahoma 73116
(405) 848-6724
Law Enforcement Data Systems Division
Oregon Executive Department
155 Cottage Street, Northeast
Salem, Oregon 97310
(503) 378-3057
Bureau of Research and Development
Pennsylvania State Police
1800 Elmerton Avenue
Harrisburg, Pennsylvania 17120
(717) 783-5536
Superintendent
Puerto Rico Police
Roosevelt Avenue 101
Puerto Nuevo Hato Rey
San Juan, Puerto Rico 00918
(809) 782-1540
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) 737-9077
Division of Criminal Investigation
Criminal Justice Training Center
East Highway 34
c/o 500 East Capitol Avenue
Pierre, South Dakota 57501
(605) 773-3331
Uniform Crime Reporting Bureau
Crime Records Division
Texas Department of Public Safety
Post Office Box 4143
Austin, Texas 78765
(512) 465-2091
362
APPENDIX V— DIRECTORY OF UNIFORM CRIME REPORTING PROGRAMS— Continued
Utah
Vermont
Virginia
Virgin Islands
Washington
West Virginia
Wisconsin
Wyoming
Uniform Crime Reporting
Utah Department of Public Safety
4501 South 2700 West
Salt Lake City, Utah 84119
(801) 965-4577
Support Services Commander
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) 674-2023
Records Bureau
Department of Public Safety
Post Office Box 210
Charlotte Amalie
Saint Thomas, Virgin Islands 00801
(809) 774-2211
Uniform Crime Reporting Program
Washington Association of Sheriffs and Police Chiefs
Post Office Box 826
Olympia, Washington 98507
(206) 586-3221
Uniform Crime Reporting Program
725 Jefferson Road
South Charleston, West Virginia 25309
(304) 746-2159
Office of Justice Assistance
2nd Floor
222 State Street
Madison, Wisconsin 53703
(608) 266-3323
Uniform Crime Reporting
Criminal Justice Information Section
Division of Criminal Investigation
316 West 22nd Street
Cheyenne, Wyoming 82002
(307) 777-7625
■ft us GOVERNMENT PWhfTlNQ OFFICE: 19B1-28a-076/4M17
363
U.S. Department of Justice
Federal Bureau of Investigation
Unifonn Crime Reports
Washinglon. D.C. 20535
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Penalty for Private Use $300
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