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

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BOSTOTSl 
PUBLIC 
LIBRARY 




•partment of Justice 

Bureau of Investigation 



DOd 




iform Crime Reports 



Release Date 
Sunday 
August 6, 1989 




1988 

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Crime 
in the 
United 
States 



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UNIFORM 
CRIME 



2\ A^/<^? 



SUMMARY 




REPORTS 

fo?' the United States 



CRIME INDEX 




PRINTED ANNUALLY - 1988 by: 

Federal Bureau of Investigation 

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



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RIMES 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 Sujjerintendent of Documents, U.S. Government Printing Office, Washington, D.C. 20402 



FOREWORD 

At all levels of government, from the White House to the smallest 
townships, the ongoing "war on crime" includes daily battles involving illegal 
drugs and drug-related crime. Because of these drugs' adverse influence on the 
human mind and their promise of quick financial gain, those entangled in the 
illicit drug world perpetrate crimes which are especially barbaric and violent in 
nature. While violent crime known to law enforcement reached an 
unprecedented high in 1988, there is currently no way to measure accurately 
drug involvement in these unwelcome statistics. The forthcoming National 
Incident-Based Reporting System will, however, enable such assessment and 
much more. The first incident-based data were received by the national 
Uniform Crime Reporting Program in early 1989. By the end of next year, 
approximately half of the states will be participating in the new system. 

Just as the FBI must adjust to increasing fiscal constraints, so must many 
law enforcement agencies at other levels of government. We try to compensate 
for limited resources with better training and equipment, proactive approaches 
to crime fighting and prevention, and improved strategic deployment of 
personnel. Basic to these innovative approaches is information. Over the years, 
information has been gathered every time an officer investigates suspicious 
circumstances, observes criminal activity, responds to a crime scene, 
interviews a victim or witness, or interrogates a criminal. These recorded data 
have remained stored in records systems at the local level, but much of the 
information has not been utilized or gathered at the state or national levels or 
by other interests. Information developed by law enforcement is a major key to 
understanding many aspects of crime, its victims and perpetrators, but most 
importantly, the knowledge gained is indispensable in advancing crime 
resolutions and prevention techniques. With the inclusion of the Federal law 
enforcement sector into the National Incident-Based Reporting System, 
mandated by the Uniform Federal Crime Reporting Act of 1988, we will, for 
the first time, have a more accurate national perspective of the characteristics, 
elements, volume, diversity, and complexity of crime known to law 
enforcement in the United States. 

The National Incident-Based Reporting System, comprising 22 broad 
categories of offenses, includes crimes that pervade all levels of law 
enforcement jurisdictions, as well as the victims and perpetrators related to 
them. As implementation of the National Incident-Based Reporting System 
advances across the country, all of us will be able to learn from those 
progressive law enforcement agencies who have already utilized detailed 
information for operational and administrative objectives. We will also be able 
to identify and duplicate successes in logistical approaches in fighting the 
increasingly complicated battles in the "war." 

Finally, the predictability of crime will be greatly enhanced with National 
Incident-Based Reporting System information. Given the greater specificity 
concerning crime incidents, more easily recognizable trends, along with victim 
and offender information, will make the projection of crime a reality. Valid 
projections should lead to more proactive, aggressive, and effective law 
enforcement. 



/• 




William S. Sessions 
Director 



III 



CRIME FACTORS 



The presence of crime in our Nation is a matter of serious concern not only 
to the law enforcement profession, but to society at large. Historically, the 
causes and origins of crime have been the subjects of investigation by varied 
disciplines. Some factors affecting 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 7-156 

vJarrative 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 46-47 

Charts: 

Crime clock, 1988 7 

Murder, monthly variation from annual average 10 

Murder, 1984-1988 10 

Forcible rape, monthly variation from annual average 17 

Forcible rape, 1984-1988 17 

Robbery, monthly variation from annual average 20 

Robbery, 1984-1988 20 

Robbery analysis, 1984-1988 22 

Aggravated assault, monthly variation from annual average 25 

Aggravated assault, 1984-1988 25 

Burglary, monthly variation from annual average 29 

Burglary, 1 984- 1988 29 

Burglary analysis, 1984-1988 30 

Larceny-theft, monthly variation from annual average 34 

Larceny-theft, 1984-1988 34 

Larceny analysis, 1984-1988 36 

Larceny analysis, 1 988 37 

Motor vehicle theft, monthly variation from annual average 40 

Motor vehicle theft, 1984-1988 40 

Crime Index total, 1984-1988 48 

Crime Index offenses, percent distribution, 1988 50 

Regional violent and property crime rates, 1988 51 

'ables: 

Murder: 

By month, percent of annual total, 1984-1988 9 

Age, sex, and race of victims, 1988 11 

Victim/offender relationship by race and sex, 1988 11 

Type of weapons used. 1988 12 

Victims, type of weapons used, 1984-1988 12 

Victims — weapons used, 1988 12 

Circumstances by relationship, 1988 13 

Circumstances by weapon, 1988 13 

Circumstances, 1984-1988 14 

vii 



Page 
Tables — Continued 

Forcible rape, by month, percent of annual total, 1 984- 1 988 16 

Robbery: 

By month, percent of annual total, 1984-1988 19 

Percent distribution, region, 1988 19 

Percent distribution, population group, 1988 21 

Type of weapons used, 1988 21 

Aggravated assault: 

By month, percent of annual total, 1984-1988 24 

Type of weapons used, 1988 24 

Burglary, by month, percent of annual total, 1984-1988 28 

Larceny-theft: 

By month, percent of annual total, 1984-1988 33 

By region, 1988 35 

Motor vehicle theft: 

By month, percent of annual total, 1984-1988 39 

By region, 1988 39 

Arson, 1988: 

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, 1979-1988 47 

United States, 1988 49 

Regional offense and population distribution, 1988 49 

Region, geographic division, and state, 1987-1988 52-59 

State, 1988 60-70 

Number of offenses known to the police, 1988: 

Cities and towns 10,000 and over in population 71-115 

Universities and colleges 116-123 

Suburban counties 1 24- 1 36 

Rural counties 25,000 and over in population 137-143 

Crime trends, offenses known to the police, 1987-1988: 

Population group 1 44- 1 45 

Suburban and nonsuburban cities, population group 146 

Suburban and nonsuburban counties, population group 147 

Offense breakdown, population group 148-149' 

Crime rates, offenses known to the police, 1988: 

Population group 1 50- 1 5 1 

Suburban and nonsuburban cities, population group 152 

Suburban and nonsuburban counties, population group 153^ 

Offense breakdown, population group 154-155' 

Offense analysis, 1988, and percent change from 1987 156 

Type and value of property stolen and recovered, 1988 156 

Section III — Crime Index Offenses Cleared 157-166 

Narrative comments 157 

Chart: 

Crimes cleared by arrest, 1988 158 

Tables: 

Offenses known and percent cleared by arrest, 1988: 

Population group 1 59- 1 60 ' 

Geographic region and division 161-162 

viii 



Page 
Fables — Continued 

Offense breakdown, population group 1 63- 1 64 

Offenses cleared by arrest of persons under 18 years of age, 1988 165-166 

section IV — Persons Arrested 167-229 

Narrative comments 1 67-1 68 

Fables: 

Arrests for drug abuse violations, 1988 167 

Total estimated arrests. United States, 1988 168 

Arrests, number and rate, 1988: 

Region 169 

Population group 170-171 

Total arrest trends: 

1979-1988 172 

Sex, 1979-1988 173 

1984-1988 174 

Sex, 1984-1988 175 

1987-1988 176 

Sex, 1987-1988 177 

Total arrests, 1988: 

Distribution by age 178-179 

Male arrests, distribution by age 180-181 

Female arrests, distribution by age 182-183 

Of persons under 15, 18, 21, and 25 years of age 184 

Distribution by sex 185 

Distribution by race 186-188 

City arrest trends: 

1987-1988 189 

Sex. 1987-1988 190 

City arrests, 1988: 

Distribution by age 191-192 

Of persons under 15, 18. 21, and 25 years of age 193 

Distribution by sex 1 94 

Distribution by race 195-197 

Suburban county arrest trends: 

1987-1988 198 

Sex, 1987-1988 199 

Suburban county arrests. 1988: 

Distribution by age 200-20 1 

Of persons under 15. 18. 21. and 25 years of age 202 

Distribution by sex 203 

Distribution by race 204-206 

Rural county arrest trends: 

1987-1988 207 

Sex, 1987-1988 208 

Rural county arrests, 1988: 

Distribution by age 209-2 1 

Of persons under 15, 18, 21, and 25 years of age 211 

Distribution by sex 212 

Distribution by race 21 3-2 1 5 

Suburban area arrest trends: 

1987-1988 216 

Sex. 1987-1988 217 

Suburban area arrests, 1988: 

Distribution by age 218-219 

Of persons under 15, 18, 21, and 25 years of age 220 

ix 



Tables — Continued 

Distribution by sex 

Distribution by race 

Arrests by state, Crime Index offenses, 1988 

Police disposition of juvenile offenders taken into custody, 1988 
Law Enforcement Code of Ethics 



Page 

221 : 

2?2-22-^ 
225-22!- 

23( 



Section V— Law Enforcement Personnel " t^- 

Narrative comments 

Tables: 

Full-time law enforcement employees, October 31, 1988: 

Employees, rate per 1,000 inhabitants, region and population group 23. 

Officers, rate per 1,000 inhabitants, region and population group 23. 

Employees, number and rate per 1,000 inhabitants, geographic division and population group 23! 

Officers, number and rate per 1,000 inhabitants, geographic division and population group 23 

Employees, range in rate per 1,000 inhabitants 

Officers, range in rate per 1,000 inhabitants 

Employees, percent male and female 

Civilian employees, percent of total, population group 23 

State agencies 

Cities 

Universities and colleges 

Suburban counties 

Rural counties 



23. 
23" 
23 



23: 
239-29 
298-30' 
302-30* 
306-31 



Section VI— Appendices tia\i 

Appendix I— Table methodology rH)\\ 

Appendix II— Offenses in Uniform Crime Reporting -Try'V-^ 

Appendix III— Uniform Crime Reporting area definitions Ij'a't.'I 

Appendix IV— Index of Crime, Metropolitan Statistical Areas, 1988 3-4-3. 

Appendix V— Directory of Uniform Crime Reporting Programs 351-35 



SECTION I 
SUMMARY OF THE UNIFORM CRIME REPORTING 

PROGRAM 



The Uniform Crime Reporting (UCR) Program is a 
lationwide, cooperative statistical effort of approximately 
6,000 city, county, and state law enforcement agencies 
'oluntarily reporting data on crimes brought to their 
^ittention. Since 1930, the FBI has administered the 
! 'rogram and issued periodic assessments of the nature and 
ype of crime in the Nation. While the Program's primary 
ibjective is to generate a reliable set of criminal statistics 
or use in law enforcement administration, operation, and 
nanagement, its data have over the years become one of 
he country's leading social indicators. The American 
lublic looks to UCR for information on fluctuations in the 
svel of crime, while criminologists, sociologists, legisla- 
ors, municipal planners, the press, and other students of 
riminal justice use the statistics for varied research and 
)lanning purposes. 

historical Background 

Recognizing a need for national crime statistics, the 
nternational Association of Chiefs of Police (lACP) 
ormed the Committee on Uniform Crime Records in the 
920s to develop a system of uniform police statistics. 
Establishing offenses known to law enforcement as the 
ippropriate measure, the Committee evaluated various 
:rimes on the basis of their seriousness, frequency of 
Kcurrence, pervasiveness in all geographic areas of the 
;ountry, and likelihood of being reported to law enforce- 
nent. After studying state criminal codes and making an 
.'valuation of the recordkeeping practices in use, the 
rommittee in 1929 completed a plan for crime reporting 
vhich 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 
;rime. Known collectively as the Crime Index, these 
jffenses included the violent crimes of murder and 
lonnegligent manslaughter, forcible rape, robbery, and 
iggravated assault and the property crimes of burglary, 
arceny-theft, and motor vehicle theft. By congressional 
nandate, arson was added as the eighth Index offense in 
1979. 

During the early planning of the Program, it was 
recognized that the differences among criminal codes 
precluded a mere aggregation of state statistics to arrive at 
i 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-le\el 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 



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

With the development of a state UCR Program, the FBI 
ceases direct collection of data from individual law 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 during each month. Specifically, the crimes 



reported to the FBI are murder and nonnegligent man- 
slaughter, forcible rape, robbery, aggravated assault, bur- 
glary, 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 anc 
recovered in connection with the offenses; and detailec 
information pertaining to criminal homicide and arson. 

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

Various data on law enforcement officers killed o 
assaulted are collected on a monthly basis. The number o 
full-time sworn and civilian personnel is reported annually 
as of October 31. 

Editing Procedures 

Each report submitted to the UCR Program is examinei 
thoroughly for arithmetical accuracy and for deviation 
which may indicate errors. To identify any unusual fluctu 
ations in an agency's crime counts, monthly reports ar 
compared with previous submissions of the agency an( 
with those for similar agencies. Large variations in crim 
levels may indicate modified records procedures, incom 
plete reporting, or changes in the jurisdiction's geopolitica 
structure. 

Data reliability is a high priority of the Program ani 
noted deviations or arithmetical adjustments are brough 
to the attention of the state UCR Program or the submit 
ting agency through correspondence. A standard procedur 
of the FBI is to study the monthly reports and to evaluat 
periodic trends prepared for individual reporting unit; 
Any significant increase or decrease is made the subject c 
a special inquiry. When it is found that changes in crim 
reporting procedures or annexations are influencing th 
level of crime, the figures for specific crime categories, or i 
necessar>', totals are excluded from trend tabulations. 

To assist contributors in complying with UCR stanc 
ards, the national Program provides training seminars an 
instructional materials in crime reporting procedure; 
Throughout the country, liaison with state Programs an 



jw enforcement personnel is maintained, and training 
jssions are held to explain the purpose of the Program, the 
ules of uniform classification and scoring, and the meth- 
ds of assembling the information for reporting. When an 
idividual agency has specific problems in compiling its 
rime statistics and remedial efforts are unsuccessful, FBI 
leadquarters' personnel may visit the contributor to aid in 
^solving the difficulties. 

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

To enhance communication among Program partici- 
ants, the UCR "Newsletter" and State UCR Program 
Bulletin" are utilized. They address Program policy, as 
ell as present information and instructional material, and 
■e produced as needed. 

The final responsibility for data submissions rests with 
le individual contributing law enforcement agency. Al- 
lough the Program makes every effort through its editing 
'ocedures. training practices, and correspondence to 
;sure the validity of the data it receives, the statistics' 
:curacy depends primarily on the adherence of each 
)ntributor to the established standards of reporting, 
eviations from these established standards which cannot 
; resolved by the national UCR Program may be brought 
I the attention of the Committee on Uniform Crime 
ecords of the lACP or the Committee on Uniform Crime 
eporting of the NSA. 

eporting Area 

The presentation of statistics by reporting area facilitates 
lalyzing local crime counts in conjunction with those for 
"eas of similar geographical location or population size, 
eographically, the United States is divisible by regions, 
visions, and states. As discussed in Appendix III, further 
•eakdowns rely on population figures and proximity to 
etropolitan areas. 

A Metropolitan Statistical Area (MSA) is an integrated 
;onomic and social unit with a recognized large popula- 
an nucleus. Each has a central city of at least 50,000 
jpulation or an urbanized area of at least 50,000. 
ontiguous counties which meet specified criteria of 
etropolitan character and integration, designated subur- 
m counties in UCR, are included. Due to changes in the 
:ographic compositions of MSAs. no year-to-year com- 
irisons of data for those areas should be attempted. 
Rural counties and "other cities," most of which are 
corporated, are outside MSAs. As a general rule, sheriffs, 
Dunty police, and state police report crimes committed 
ithin the limits of the counties but outside cities, while 
cal police report crimes committed within the city limits. 
Certain tables within this publication present statistics 
lative 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 1988, law enforcement agencies active in the 
UCR Program represented approximately 240 million 
United States inhabitants, or 98 percent of the total 
population as established by the Bureau of the Census. The 
coverage amounted to 99 percent of the United States 
population living in MSAs, 94 percent of the population in 
"other cities," and 90 percent of the rural population. 

Although most law enforcement agencies submit crime 
reports to the UCR Program, 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, 
geographic regions, and divisions are Bureau of the Census 
provisional estimates as of July 1, 1988. Using these figures 
along with the 1987 and 1986 Bureau of the Census 
provisional estimates for counties and cities, respectively, 
the populations of individual jurisdictions were 
extrapolated (see Appendix III). The estimated 
United States population increase in 1988 was approxi- 
mately 1 percent over the 1987 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 1988 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 IV, 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 Tables 1 through 5 of this 
publication, offense totals for these two states were esti- 
mated. The states' most current valid annual totals, by 
population group, were updated by applying percentage 
changes for each offense within each population group of 
the geographic division in which the state resides. The state 
totals were compiled from the sums of the population 
group estimates. No data for Florida or Kentucky jurisdic- 
tions are shown in Tables 6 through 9 or Appendix IV. 

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 compara- 
ble tir^eframes 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 Stales. 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 inde- 
pendent contractor, these phases were structured to deter- 
mine what, if any, changes should be made to the current 
Program. The third phase would involve implementation 
of the changes identified. Abt Associates Inc. of 
Cambridge, Massachusetts, overseen by the FBI, BJS, and 
a Steering Committee comprised of prestigious individuals 
representing a myriad of disciplines, commenced the first 
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 crimina 
justice data systems, were studied. 

Early in 1984, a conference on the future of UCR, hek 
in Elkridge, Maryland, launched the second phase of thi 
study, which would examine potential futures for UCR am 
conclude with a set of recommended changes. Attendees a 
this conference reviewed work conducted during the firs 
phase and discussed the potential changes that should b, 
considered during phase two. 

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

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

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

The final report, the "Blueprint for the Future of t 
Uniform Crime Reporting Program," was released in t 
summer of 1985. It specifically outlined recommendatio " 
for an expanded, improved UCR Program to meet infc 
mational needs into the next century. There were thr , 
recommended areas of enhancement to the UCR Progra 
First, reporting of offenses and arrests would be made 
means of an incident-based system. Second, collection 
data would be accomplished on two levels. Agencies i 
level one would report important details about tin ■ 
offenses comprising the current Crime Index, their victin . 
and arrestees. Law enforcement agencies covering popu -. 
tions of over 100,000 and a sampling of smaller agenc s 
would be included in level two, which would colli t 
expanded detail on all significant offenses. The th 1| 
proposal involved introducing a quality assurars' 
program. 

One of the first actions taken by the FBI to bcjO 
implementation was to award a contract for the devekt- 
ment of new offense definitions and data elements for le 
redesigned system. The work involved: (a) revision of e 
definitions of certain Index offenses; (b) identification il 
additional significant offenses to be reported: (c) refin g 
definitions for both; and (d) development of data elemeis 
(incident details) for all UCR offenses in order to fulfill le 



jquirements of incident-based reporting versus the cur- 
;nt summary reporting. 

Concurrent with the preparation of the data elements, 
le FBI studied the various state systems to select an 
icperimental site for implementation of the redesigned 
rogram. In view of its long-standing incident-based 
rogram and well-established staff dedicated solely to 
'CR, the South Carolina Law Enforcement Division 
>LED) was chosen. The SLED agreed to adapt its existing 
/stem to meet the requirements of the redesigned Pro- 
■am and collect data on both offenses and arrests relating 
) the newly defined offenses. 

To assist SLED in conducting the pilot project, offense 
ijfinitions and data elements developed under the private 
mtract were put at the staffs disposal. Also, the FBI's 
echnical Services Division developed "Automated Data 
apture Specifications" for use in adapting the state's data 
-ocessing procedures to incorporate the revised system. 
he BJS supplied funding to facilitate needed software 
hvisions. Testing of the new Program was completed in 
te 1987. 

Following the completion of the pilot project conducted 
1/ SLED, the FBI produced a draft set of guidelines for an 
ihanced UCR Program. Law enforcement executives 
om around the country were then invited to a conference 
Orange Beach, Alabama, where the guidelines were 
■esented for final review. 

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

Information about the redesigned UCR Program, called 

le National Incident-Based Reporting System or NIBRS, 

contained in three documents produced subsequent to 

le Orange Beach Conference. Volume 1, Data Collection 

uidelines. contains a system overview and descriptions of 

le offenses, offense codes, reports, data elements, and 

ata values used in the system. Volume 2, Data Submission 

vecifications, is for the use of state and local systems 

;rsonnel who are responsible for preparing magnetic tapes 

ir submission to the FBI. Volume 3, Approaches to 

nplementing an Incident-Based Reporting (IBR) System, 

for use by computer programmers, analysts, etc., respon- 

ble for developing a state or local IBR system which will 

leet NIBRS reporting requirements. 

NIBRS will collect data on each single incident and 

Test within 22 crime categories. For each offense known 

> police within these categories, incident, victim, proper- 

', offender, and arrestee information will be gathered 

hen available. The goal of the redesign is to modernize 

; ime information by collecting data presently maintained 

1 1 law enforcement records; the enhanced UCR Program 

I , 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 the 
first test tape containmg the expanded data was received in 
April, 1989. from the Alabama Criminal Justice Informa- 
tion Center. The other state-level UCR Programs are in 
various stages of planning and development. Twelve states, 
including Alabama, are expected to commence NIBRS 
reporting for selected jurisdiction: during calendar year 
1989. At least 13 more are planning implementation in 
1990. 

Recent Developments 

ADVISORY POLICY BOARD— The implementation 
of an expanded and enhanced UCR Program will result in 
a wealth of crime data never before available. To function 
in an advisory capacity concerning UCR policy and 
provide suggestions on uses of the data collected under the 
enhanced UCR Program, a Uniform Crime Reporting 
Data Providers Advisory Policy Board (APB) has been 
established. Comprised of executives from local law en- 
forcement agency data contributors, the Board had its first 
meeting in Alexandria, Virginia, on February 14 and 15, 
1989. During the meeting, the Board adopted bylaws and 
elected officers. 

LAW ENFORCEMENT OFFICERS KILLED AND 
ASSAULTED — In connection with its Law Enforcement 
Officers Killed and Assaulted Program, the national UCR 
staff is conducting a special statistical effort to study officer 
homicides in much greater detail than ever before. With 
the assistance of the FBI's Behavioral Science Unit and an 
outside consultant, the staff has developed a protocol from 
which to interview offenders convicted of having killed law 
enforcement officers. The main objective of the interviews 
is to identify any measures the officers could have taken or 
avoided that would have saved their lives. An attempt is 
also being made to identify danger signals that may have 
been exhibited by the perpetrator. The project will be 
completed during 1989, and the resulting data could 
potentially lend new insight to officer survival training 
programs. 



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. Plans to implement NIBRS, 
the redesigned UCR Program, at the Federal level are 
underway, and the Department of the Interior has agreed 
to act as the pilot agency for testing Federal participation 
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. 

ARSON— The Anti-Arson Act of 1982 mandated the 
FBI to classify arson as a Part I crime permanently and to 



prepare a special statistical report on arson in cooperation 
with the Federal Emergency Management Agency, Nation- 
al Fire Data Center, on an annual basis. Data collection 
from the fire service commenced in January, 1987, but 
participation levels have since remained too low to project 
any state or national estimates. With the development and 
implementation of NIBRS, whose resultant data will 
adequately meet the objectives of the congressional man- 
date, the unique data collection on arson will be discontin- 
ued. Fire service agencies will report information on arsor 
under NIBRS, using the same guidelines as established foi 
law enforcement agency contributors. 



CRIME CLOCK 

1988 




one 
MURDER 

every 25 minutes 



one 

FORCIBLE RAPE 

every 6 minutes 



one 
CRIME INDEX OFFENSE 

every 2 seconds 



one 
VIOLENT CRIME 
every 20 seconds 




one 
ROBBERY 

every minute 



one 

AGGRAVATED ASSAULT 

every 35 seconds 



one 
PROPERTY CRIME 

every 3 seconds 



one 

BURGLARY 

every 10 seconds 



one 
LARCENY-THEFT 
every 4 seconds 



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



one 

MOTOR VECHICLE THEFT 

every 22 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 

1987 20.096 

1988 20,675 

Percent change +2.9 



Rate per 100.000 
inhabitants 
8.3 
8.4 

+ 1.2 



/olume 

The total number of murders in the United States during 
988 was estimated at 20,675 or 1 percent of the violent 
rimes reported. More persons were murdered in August 
han any other month, while the fewest were killed during 
■ebruary. 

Murder by Month. 1984-1988 

Percenl of annual total] 



Months 



muary 
'ebruary . 
iarch . . . . 

,pril 

lay 

une 

uly 

.ugusl ... 
eptember 
>ctober . . 
November 
)ecember 



1984 



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



1985 



8.1 
7.9 
8.1 
7.6 
7.6 
8.2 
9.3 
9.1 
8.1 
8.4 
8.2 
9.4 



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 



7.2 
7.7 
7.7 
7.8 
7.7 
8.9 
9.5 
89 
8.9 
8.2 
9.2 



Geographically, the Southern States, the most populous 
egion, accounted for 42 percent of the murders. The 
Vestern States reported 21 percent; the Midwestern States, 
9 percent; and the Northeastern States, 18 percent. 

frend 

The murder volume increased 3 percent nationwide in 
1988 over 1987. The Nation's cities overall experienced an 
ncrease of 4 percent, while both the suburban and rural 
;ounties recorded 2-percent declines. Among city group- 
ngs, those of jurisdictions with populations over 25,000 
■egistered increases ranging from 1 to 8 percent. The 
groupings of cities with smaller populations showed de- 
;lines, 5 percent in those with 10,000 to 24,999 inhabitants 
ind 3 percent in those with populations under 10,000. 



Viewed regionally, the murder counts increased 10 
percent in the Northeast, 4 percent in the South, and 1 
percent in the West from 1987 to 1988. A 3-percent decline 
was experienced in the Midwestern States. 

The accompanying chart reveals an 11 -percent rise 
nationally in the murder counts from 1984 to 1988. The 
10-year trend showed the 1988 total 4 percent below the 
1979 level. 

Rate 

Up 1 percent from 1987, the 1988 United States murder 
rate was 8 per 100,000 inhabitants. On a regional basis, the 
Southern States averaged 10 murders per 100,000 people; 
the Western States, 9 per 100,000; the Northeastern States, 
8 per 100,000; and the Midwestern States, 6 per 100,000. 
The murder rate in the Northeast was up 9 percent, 1988 
versus 1987. In the South, it increased 3 percent, and in the 
West, it showed no change. A rate decrease of 4 percent 
was recorded in the Midwest. 

The Nation's metropolitan areas reported a 1988 murder 
rate of 9 victims per 100,000 inhabitants. In the rural 
counties, the rate was 5 per 100,000, and in the cities 
outside metropolitan areas, it was 4 per 100,000. 

Nature 

Supplemental data provided by contributing agencies 
recorded information for 18,269 of the estimated 20,675 
murders in 1988. 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, 75 percent of the murder 
victims in 1988 were males. Ninety-one percent were 
persons 1 8 years of age or older, with 49 percent aged 20 
through 34 years. Considering victims for whom race was 
known, an average of 50 of every 100 were white, 49 were 
black, and the remainder were persons of other races. 



Murder by Month 
1988 

Variation from Annual Average 




Mar. Apr. May June July Aug. Sept Oct. Nov. 




Murder 



Number of OITenses 
Known -Lp 11% 

Rate per 100,()()0 
Inhabitants- Llp69f 



10 



ge. Sex, and Race of Murder 


Victims, 1988 
















Age 


Total 


Sex 


Race 


Male 


Female 


Unkttown 


White 


Black 


Other 


Unknown 




18.269 
100.0 


13.632 
74.6 


4.611 

25.2 


26 
.1 


9.003 
49.3 


8.786 
48.1 


.301 
1.6 


179 




1 






nder 18' 


1,698 
16,263 


1.085 
12.324 


611 
3.935 


2 
4 


796 
8,068 


858 
7.809 


27 
271 


17 




1 15 








240 

333 

152 

227 

1.722 

2,953 

3,321 

2,520 

1,855 

1,283 

771 

569 

472 

420 

382 

257 

484 

308 


118 

182 

75 

120 

1,402 

2,312 

2,580 

1,922 

1,419 

981 

587 

429 

345 

296 

251 

148 

242 

223 


121 
150 

77 
107 
320 
640 
741 
598 
435 
301 
184 
140 
127 
123 
131 
109 
242 

65 


1 

1 


136 

175 

90 

114 

661 

1,292 

1,461 

1.182 

932 

724 

452 

339 

299 

281 

239 

167 

320 

1.39 


97 

150 

58 

111 

1,011 

1,615 

1,793 

1.259 

881 

517 

298 

205 

154 

135 

130 

88 

155 

119 


3 
6 




to 4 


2 


to 9 


4 


) to 14 




1 

33 

37 

53 

48 

30 

30 

16 

19 

4 

3 

8 

1 

6 
3 


1 


i to 19 




17 


1 to 24 


1 


9 


i to 29 


14 


) to 34 




31 


i to 39 


1 
1 


12 


) to 44 


12 


i to 49 


5 


) to 54 




6 


i to 59 




5 




1 


1 


! to 69 


5 


) to 74 




1 






3 


nknown 


20 


47 







'Does not include unknown ages. 

Data based on incidents involving one victim and one 
ffender showed that in 1988, 94 percent of the black 
lurder victims were slain by black offenders, and 86 
lercent of the white murder victims were killed by white 

'ictim/Oflender Relationship by Race and Sex, 1988 

single victim/single olTender] 



offenders. Likewise, males were most often slain by males 
(84 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/ 
offenders 


Offender 




Race 


Sex 




White 


Black 


Other 


Unknown 


Male 


Female 


Unknown 


Vhile .... 


Race 


5.065 

4.791 

178 

59 


4,377 

237 

50 

12 


579 

4,525 

15 

10 


60 

10 

108 

3 


49 

19 

5 

34 


4.487 

3,959 

153 

22 


529 

813 

20 

3 


49 


Hack 


19 


)ther 


5 


Jnknown 


34 






vlale . . . 


Sc\ 


7.286 

2.748 

59 


3.179 

1,485 

12 


3,929 

1.190 

10 


119 
59 

3 


59 
14 
34 


6.104 
2.495 

22 


1.123 

239 

3 


59 




14 




34 






rotals 


10.093 


4,676 


5.129 


181 


107 


8.621 


1.365 


107 







11 



Firearms, as in previous years, were the weapons used in 
approximately 3 of every 5 murders committed in the 
United States. Of all murders, 45 percent were by hand- 
guns; 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 stabbing 
instruments were employed in 19 percent of the murders; 
blunt objects (clubs, hammers, etc.) in 6 percent; and other 
dangerous weapons, such as poison, explosives, etc., in 8 
percent. Personal weapons (hands, fists, feet, etc.) were 
employed in 6 percent. 

Murder, Type of Weapons Used, 1988 

[Percent distribution by region] 



Murder Victims, Type of Weapons Used, 1984-1988 



Region 


Total 

all 

weapons' 


Firearms 


Cutting 

or 
stabbing 
instru- 
ments 


Unknown 
or other 
danger- 
ous wea- 
pons 


Personal 
weapons 


Total 


100.0 


60.7 


19.1 


14.0 


6.2 






Northeastern States 

Midwestern States 


100.0 
100.0 
100.0 
100.0 


57.3 
59.0 
64.4 
59.2 


20.5 
18.7 
18.9 
18.8 


14.7 
15-6 
12.2 
14.7 


7.5 
6.7 
4.6 


Western Stales 


7.3 







Weapons 



Total 



Total Firearms 

Handguns 

Rifles 

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 



1984 



17,260 



10,175 

7,557 

785 

1.194 

19 

620 

3,653 

1,007 

1.134 

6 

8 

196 

20 

47 

322 

113 

579 



1985 



17,545 



10.296 

7,548 

810 

1,188 

24 
726 

3.694 

972 

I , I 80 

7 

II 

243 

31 

43 

311 

115 

642 



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 



'Pushed is included in personal weapons. 



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 



18,269 



11,084 

8,278 

764 

1,117 

15 

910 

3,496 

1,143 

1.139 
15 
35 

258 
36 
38 

335 
72 

618 



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



Murder Victims — Weapons Used, 1988 



Age 



Total 



Weapons 



Fire- 
arms 



Cutting or 

stabbing 
instruments 



Blunt ob- 
jects (clubs, 
hammers, 
etc.) 



Personal' 

weapons 

(hands. 

fists, feet, 

etc.) 



Poison 



Explosives 



Fire 



Narcotics 



Strangu- 
lation 



Asphyxia- 
tion 



Other 

weapons oi 

weapons 

not stated 



Total 



Percent 
distribution 



Under 18^ .. 
18 and over- 



Infant (under i) 

1 to 4 

5 to 9 

10 to 14 

15 to 19 

20 to 24 

25 to 29 

30 to 34 

35 to 39 

40 to 44 

45 to 49 

50 to 54 

55 to 59 

60 to 64 

65 to 69 

70 to 74 

75 and over 

Unknown 



18.269 
100.0 



11.084 



60.7 



3,496 



19.1 



1,143 



6.3 



1,139 



6.2 



15 



258 



1,698 
16,263 

240 

333 

152 

227 

1,722 

2,953 

3,321 

2,520 

1,855 

1,283 

771 

569 

472 

420 

382 

257 

484 

308 



10,107 

10 

44 

56 

136 

1,292 

2,033 

2.193 

1.609 

1,200 

777 

450 

308 

247 

203 

155 

85 

121 

165 



175 


78 


3,269 


1.047 


9 


II 


15 


24 


13 


13 


33 


II 


261 


43 


555 


105 


651 


173 


495 


152 


364 


106 


283 


88 


165 


60 


124 


58 


III 


43 


107 


51 


78 


57 


67 


52 


113 


78 


52 


18 



339 
790 

131 
153 
24 
15 
44 
95 
116 
120 
96 
61 
39 
35 
32 
27 
43 
22 
76 
10 



73 
173 

6 
33 
16 
12 
18 
13 
19 
23 
22 
14 
12 
13 

7 

8 
II 

4 
15 
12 



1,8 



45 


35 


286 


37 


1 


17 


12 


13 


12 




8 




21 




66 




41 




41 




21 




18 




10 




7 




11 




8 




11 




11 




32 


8 


4 





65 



12 
48 

5 

3 
1 

\' 
3' 
7 
11 
6 
3' 
3' 
31 
1 

1' 
1 
2 
1 
3 
4 



'Pushed is included in personal weapons. 
^Does not include unknown ages. 



12 



Over half the murder victims in 1988 were related to (15 
ercent) or acquainted with (40 percent) their assailants. 
vvelve percent of the victims were murdered by strangers, 
hiie the relationships among victims and offenders were 
nknown in 33 percent of the murders. Among all female 
lurder victims in 1988. 31 percent were slain by husbands 
r boyfriends. Five percent of the male victims were killed 
y wives or girlfriends. 



Arguments resulted in 34 percent of the murders during 
the year. Nineteen 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. Three 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. 



lurder Circumstances by Relationship, 1988 

'ercenl distribution) 



Victim 



Felony 
type 



Suspected 
felony type 



Romantic 
triangle 



Argument 
over money 
or properly 



Other 
arguments 



Miscellaneous 

non-felony 

type 



Unable to 
determine 



otal* 



100.0 



100.0 



100.0 



100.0 



100.0 



100.0 



1 00.0 



usband 

'ife 

lother 

ather 

•aughter 

3n 

rother 

ister 

ither family 

cquaintances 

riend 

oyfriend 

iirlfriend 

leighbor 

Iranger 

Inknown relationship 



23 

.7 
.9 

1.: 

1.7 
1.0 



30.3 
4,3 
1.4 
2.5 
I.I 
12.4 
32.8 



.4 

.5 

.3 

.3 

.6 

.7 

.2 

2 

1.4 

30.3 

3.4 

.1 

.3 

1.1 

29.7 

30 4 











,4 






,3 




.6 








1 


hi 


58.3 


1.3 


9.2 


.4 


1.9 




8.6 



.9 

70 
83 4 



1.0 

7.6 
.6 



2.1 
3.1 
1.0 



.6 
2.5 

.2 

4.5 

53.3 

15.4 

.6 
1.0 
3.3 
6.6 
4.7 



5.5 
9.1 

.9 
1.6 

.4 
1.1 
2.2 

.3 
3.7 
43.8 
6.6 
3.5 
5.0 
1.7 



1.9 

9.1 

1.5 

1.4 

4.5 

5.5 

.9 

.3 

2.2 

34.5 

4.2 

1.0 

2.8 

1.1 

13.5 

15.7 



100.0 



.5 

1.6 

2 

.4 

.2 

.6 

.3 

.1 

.6 

9.1 

I.I 

.2 

.8 

.2 

4.4 

79.6 



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



vlurder Circumstances by Weapons, 1988 



Weapons 


Total 


Felony 
type 


Suspected 
felony 
type 


Romantic 
triangle 


Argument 
over money 
or property 


Other 
arguments 


Miscellaneous 

non-felony 

type 


Unable to 
determine 


fotal 


18,269 


3,480 


229 


314 


486 


5,460 


3,446 


4,854 








11,084 

3.496 

1,143 

1,139 
13 
35 

2S8 
36 
38 

335 
72 

618 


1,989 

539 

321 

232 

1 

13 

167 
24 

T 

104 
17 

71 


106 
49 
20 
15 


214 
63 
16 
12 


308 
114 
28 

27 


3,377 

1,434 

266 

261 


2,118 

494 

169 

386 
11 

6 
36 

6 
21 
45 
35 

119 


2,972 


rutting or 

stabbing instruments 

3lunt objects 

(clubs, hammers, etc.) 

Personal weapons 

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


803 

323 

206 
3 


Explosives 






I 


3 

15 

1 


12 




4 
2 

1 
17 

1 

14 


4 


32 


Narcotics 




3 






1 
3 


13 


Strangulation 


2 


41 

4 

58 


123 




15 


Other weapons 
or weapons not stated 


3 


4 


349 



'Pushed IS included in personal weapons. 



13 



Murder Circumstances, 1984-1988 

[Percent distribution] 



Total .. 
Percent' 



Felony total: 

Robbery 

Narcotics 

Sex offenses 

Arson 

Other felony 

Suspected felony 

Argument total: 

Romantic triangle . 
Property or money 
Other arguments . . . 

Miscellaneous 

non-felony types^ . . 

Unknown 



1984 



17,260 
100.0 



18.1 
9.3 

2.7 
1.6 
1.0 

i.i 

2.4 

39.8 

2.4 

2.7 
34.8 



17,4 
22.3 



1985 



17,545 
100.0 



17.9 
9.2 
2.9 
1.5 
1.2 
3.1 

2.0 

39.3 
2.3 
2.7 

34.3 

18.1 



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 

9.4 

4,9 

.3 

.9 

4.1 

I.I 

36.7 
2.0 
2.6 

32,0 

17,7 
24.9 



1988 



18,269 
100,0 



18.9 
8.3 
5,6 
.3 
1.0 
3.7 

1,3 

34,3 
1,7 
2.7 

29.9 



18.9 
26.6 



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

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

Clearances 

As in previous years, the clearance rate for murder was 
higher than for any other Crime Index offense in 1988. 
Law enforcement agencies nationwide, as well as in the 
cities, cleared 70 percent of the murders occurring during 
the year. Cities with populations from 25,000 to 49,999 
reported the most successful clearance rate, 79 percent. 
Seventy-seven percent of murders in rural counties and 68 
percent of those in suburban counties were cleared. 



Regionally, the murder clearance rate was highest in the 
Southern States, 74 percent. Sixty-nine percent of all 
murders were cleared in the Northeastern States and 67 
percent in the Midwestern and Western States. 

Persons under 18 years of age were involved in murder 
less often than in any other offense in 1988. They 
accounted for 6 percent of the willful killings cleared by 
law enforcement nationally, as well as in suburban coun- 
ties. Seven percent of the Nation's city clearances and 5 
percent of the rural county clearances involved only 
persons in this young-age group. 

Persons Arrested 

Of all murder arrestees in 1988, 45 percent were under 
25 years of age. The 18- to 24-year age group accounted for 
35 percent of the total. 

Eighty-eight percent of those arrested were male and 12 
percent, female. Whites comprised 45 percent of the total 
arrestees for murder in 1988. Blacks made up 53 percent, 
and the remainder were of other races. 

The 1988 murder arrest total increased 5 percent above 
the 1987 figure. Arrests of persons aged 18 and over 
increased 4 percent, while those of younger persons were 
up 18 percent. During the same 2-year period, male arrests 
increased 6 percent and female arrests were up 4 percent. 

Long-term trends indicate the 1988 murder arrest total 
was 8 percent above the 1984 level and 4 percent higher 
than the 1979 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. 





TRFNO 




Year 
1987 


Number of offenses 
91.111 


Rate per 100.000 

inhabitants 

37.4 

37.6 

+.5 


1988 


92.486 


Percent change 


+ 1.5 



15 



Volume 

During 1988. there were an estimated 92,486 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 37 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 the 
remainder. 

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

Forcible Rape by Month, 1984-1988 

[Percent of annual total] 



Months 

January 

February 

March 

April 

May 

June 

July 

August 

September 

October 

November 

December 



1984 



7.1 
7.1 
7.6 
7.7 
8.6 
8,9 
9.9 
10.2 
9.1 
9.0 
7.2 

7..'; 



1985 



7.2 
6.6 
8.2 
8,3 
8.9 
9.0 
lO.I 
9.9 
8.8 
8.5 
7,7 
6.9 



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 



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 



Trend 

Compared to the previous year, the 1988 forcible rape 
volume increased 2 percent nationwide. In the suburban 
counties and cities collectively, the totals were up 1 
percent. Rural counties recorded a 1 -percent decline. City 
trends ranged from a 12-percent increase in cities under 
10,000 in population to a 4-percent decline in cities 
500,000 to 999,999 in population. 

Among the geographic regions, the Midwestern States 
recorded a 4-percent rise: the Southern States, a 3-percent 
increase; the Northeastern States, virtually no change; and 
the Western States, a 2-percent drop. 

National trends for 5 and 10 years show that the forcible 
rape total rose 10 percent over 1984 and 21 percent above 
1979. 



Rate 



By Uniform Crime Reporting definition, the victims of 
forcible rape are always female. In 1988, an estimated 73 of 
every 100,000 females in the country were reported rape 
victims. The 1988 female forcible rape rate showed no 
change from 1987, but was 6 percent higher than in 1984. 



Female forcible rape rates for 1988 showed there were 
83 victims per 100,000 females in MSAs, 49 per 100,000 
females in cities outside metropolitan areas, and 36 per 
100,000 females in rural counties. 

Regionally, the highest female rape rate was in the 
Western States, which recorded 81 victims per 100,000 
females. Following were the Southern States with a rate of 
78, the Midwestern States with 75. and the Northeastern 
States with 57. 

Nature 

Of all reported forcible rapes during 1988, 82 percent 
were rapes by force. The remainder were attempts or 
assaults to commit forcible rape. An increase of more than 
2 percent was registered in the number of rapes by force, 
while attempts to commit rape decreased 5 percent from 
the 1987 figures. 

Clearances 

Nationwide and in the cities, 52 percent of the forcible 
rapes reported to law enforcement were cleared by arrest or 
exceptional means in 1988. Rural county law enforcement 
agencies cleared 55 percent of the offenses brought to their 
attention, while suburban county agencies cleared 53 
percent. 

Clearance rates for the regions ranged from 45 percent in 
the Midwestern States to 56 percent in the Southern States. 
In the Northeastern States, the clearance rate for forcible 
rape was 54 percent, and in the Western States, it was 51 
percent. 

In the country as a whole, the Nation's cities, and the 
rural counties, 9 percent of the forcible rape clearances 
involved only persons under the age of 18. Suburban 
counties recorded a 10-percent involvement of this age 
group. 

Persons Arrested 

From 1987 to 1988, the number of persons arrested for 
forcible rape showed virtually no change nationally. Ar- 
rests for this offense declined 1 percent in both suburban 
counties and the Nation's cities, while arrests in rural 
counties rose 5 percent. For the 5-year period, 1984 to 
1988, increases of 3 percent were recorded for the total 
forcible rape arrests, and 4 percent for those of adults. A 
decrease of 2 percent was shown for arrests of persons 
under 18 years of age during this same period of time. 

Of the forcible rape arrestees in 1988, 43 percent were 
persons under the age of 25, with 29 percent of the total 
being in the 18- to 24-year age group. Fifty-three percent of 
those arrested were white, 46 percent were black, and all 
other races comprised the remainder. 



16 



Forcible Rape by Month 

1988 

Variation from Annual Average 




Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec. 




Forcible 
Rape 



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. 



TREND 



Year Number of offenses 

1987 517,704 

1988 542.968 

Percent change +4.9 



Rate per 100.000 

inhabitants 

212.7 

220.9 

+ 3.9 



18 



'olume 

Accounting for 4 percent of all Index crimes and 35 
ercent of the crimes of violence, the estimated robbery 
jtal in 1988 was 542,968. During the year, robberies 
ccurred most frequently in December and least often in 
.pril. 

Regionally, the most populous Southern States regis- 
;red 33 percent of all reported robberies. Following were 
le Northeastern States with 28 percent, the Western 
tates with 21 percent, and the Midwestern States with the 
;mainder. 

obbery by Month, 1984-1988 
'ercent of annual total] 



Months 



nuary 
bruary 
arch . . , 
pril — 

:ay 

ine 

iiy 

ugust 
I jptember 
I etcher 
i ovember 

ecember 



1984 



8.1 
7.6 
7.6 
7.5 
7.9 
8.5 
8.2 
9.0 
8,6 
9.9 



1985 



8.6 
7.4 
7.9 
7.3 
7.5 
7.7 
8.6 
8,9 
8.4 
9,1 
8,8 
9.7 



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 



rend 

Upward trends in robbery were evident nationwide and 
hroughout all population groups in 1988. Nationally, the 
988 robbery volume was 5 percent higher than the 1987 
;vel. The suburban counties experienced a 7-percent 
ncrease in robberies; the Nation's cities overall, a 4- 
lercent rise; and the rural counties, a 3-percent increase. 
)f the cities, those with populations of 100,000 to 249,999 
egistered the greatest increase, 7 percent. 

Two-year regional trends show the number of robberies 
vere up in all but one region. The increases were 10 
)ercent in the South; 6 percent in the Northeast; and 2 
percent in the West. A 2-percent decrease was recorded in 
he Midwest. 

The accompanying chart depicts the trend in the robbery 
/olume, as well as the robbery rate, for the years 1984- 
1988. In 1988, the number of robbery offenses was 12 
percent higher than in 1 984 and 1 3 percent above the 1 979 
otal. 

Rate 

The national robbery rate in 1988 was 221 per 100,000 
Deople, 4 percent higher than in 1987. In metropolitan 



areas, the robbery rate was 278; in cities outside metropoli- 
tan areas, it was 55; and in the rural areas, it was 15. With 
919 robberies per 100,000 inhabitants, the highest rate was 
recorded in cities with populations over 1 million. 

A comparison of 1987 and 1988 regional rates showed 
the only decline — 2 percent — was in the Midwest, which 
had a rate of 169 per 100,000 population. The South's rate 
of 209 was 9 percent higher; the Northeast's rate of 299 
was up 5 percent; and the West's rate of 225 represented a 
1 -percent increase. 

Nature 

In 1988, a total estimated national loss of $343 million 
was due to robberies. The value of property stolen during 
robberies averaged S63 1 per incident. Average dollar losses 
ranged from $344 taken during robberies of convenience 
stores to $2,885 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 (54 percent) of the offenses in 
this category. Robberies of commercial and financial 
establishments accounted for an additional 23 percent, and 
those occurring at residences, 10 percent. The remainder 
were miscellaneous types. Only gas or service station 
robberies declined from 1987 to 1988, down 1 percent. 
Among the other types, convenience store robberies 
showed the greatest increase, 16 percent. 
Robber>, Percent Distribution, 1988 
[By region] 





United 
States 
Total 


North- 
eastern 
States 


Mid- 
western 
States 


Southern 
Stales 


Western 
Stales 


Total' 


100,0 


100,0 


100.0 


100.0 


100.0 








54.0 

11.9 
2.9 
6.4 

10.5 
1.4 

12.9 


64.4 
7.5 
2.2 
2.1 

11.4 
.8 

11.5 


55.5 

10.2 
3.7 
4,3 

10.5 
1,0 

14,8 


43.9 
15.7 

3.3 
13.4 
II.O 

I.I 
11,6 


49.7 


Commercial house 

Gas or service station ... 

Convenience store 

Residence 


15.2 
2.7 
6.3 
8 8 


Bank 


2.9 


Miscellaneous 


14 5 







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



19 



Robbery by Month 
1988 



Variation from Annual Average ^^ 


10 


m H ^ 


10 

■ 




5 


3 


1 


4 4 


1 




1 


_LJ 


1 


_i 



-5 


■■ 


1 


1 




-10 


■ 


1 


-9 


-15 


-13 
Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec. 




Robbery 



Known - I 

U:ik' per 1 
lnh<ii)ihni 



1988 



20 



obbery, Percent Distribution, 1988 

y population group] 



Group I (55 

cities, 250,000 

and over; 

population 

42,034,000) 



Group II (115 
cities, 100.000 to 
249,999; popula- 
tion 16,655,000) 



Group III (300 
cities, 50.000 to 
99,999; popula- 
tion 20,464,000) 



Group IV (620 
cities. 25.000 to 
49,999; popula- 
tion 21,166,000) 



Group V (1,519 
cities. 10.000 to 
24,999; popula- 
tion 23,918,000) 



Group VI (5,890 
cities under 
10,000; popula- 
tion 21.341.000) 



County 

agencies 

(3.520 agencies; 

population 

66,042.000) 



)ial' 



100,0 



100.0 



100.0 



100.0 



100.0 



100.0 



100.0 



reet/highway 

)mmercial house ... 
as or service station 

jnvenience store 

isidence 

ink 

iscellaneous 



61.5 
9.8 
1.8 
3.7 

10.4 
1.0 

11.7 



51.9 

13.1 
3.4 
8.4 

10.1 
1.8 

11.3 



47.2 
15.0 
3.8 
8.7 
9.2 
2.0 
14.1 



39.9 
15.9 

4.8 
10,4 
lO.I 

2.2 
16.7 



31.9 
17.4 

6.7 
13.5 
10. 1 

2.4 
18.1 



25.9 
17.3 

6.2 
14.5 
12.6 

2.8 
20.7 



30.4 
17,6 

5.9 
14.4 
12.7 

2.5 
16.6 



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

Forty-three percent of all robberies in 1988 were com- 
litted through the use of strong-arm tactics. Firearms were 
ied in 33 percent, knives or cutting instruments in 14 
srcent, and other weapons in the remaining 10 percent. A 
jmparison of 1987 and 1988 robbery totals by weapon 
lowed those by both strong-arm and other dangerous 
eapons increased 5 percent; those by firearms rose 3 
ercent; and those by knives or cutting instruments in- 
cased 2 percent. 
abber). Type of Weapons Used, 1988 
ercent distribution by region] 



Region 



Dtal 



ortheastem States 
iidwestem States . 
)uthem States — 
'estern States 



Total 

all 

weapons' 



100.0 



1 00.0 
100.0 
100.0 
1 00.0 



.\rmed 



Fire- 
arms 



33.4 



27.1 
33.4 
40.8 
33.1 



Knives or 
cutting 
instru- 
ments 



13.6 



15,9 
10.9 
12.2 
13.9 



Other 
weapons 



10.4 



11.0 
13.0 
10.0 

8,7 



Strong- 
armed 



46.0 
42.6 
37.0 
44.3 



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



'learances 

Twenty-six percent of the robbery offenses reported to 
iw enforcement were cleared during 1988. The highest 
obbery clearance rate — 41 percent — was registered by 



rural law enforcement agencies. Suburban county agencies 
cleared 29 percent and those in cities, 25 percent. Regional 
robbery clearance percentages were 30 percent in the 
South, 27 percent in the West, 25 percent in the Northeast, 
and 19 percent in the Midwest. 

Nationally, persons under the age of 18 were the 
offenders in 10 percent of all 1988 robbery clearances. This 
age group accounted for 1 1 percent of the city clearances, 8 
percent of the suburban county clearances, and 6 percent 
of the rural county clearances. 

Persons Arrested 

Arrests for robbery increased 3 percent nationwide and 
in cities during 1988 when compared to 1987. An increase 
was also experienced in the rural counties, 7 percent. The 
suburban counties, however, showed a decrease of 1 
percent in the number of persons arrested for this offense. 

Fifty-nine percent of all robbery arrestees in 1988 were 
under 25 years of age, and 92 percent were males. Sixty- 
three percent of those arrested were black, 36 percent were 
white, and the remainder were of other races. 

The total number of robbery arrests increased 4 percent 
during the 5-year period, 1984-1988. For the same time- 
span, arrests of females for robbery increased 21 percent, 
while male arrests rose 3 percent. Juvenile arrests were 
down 1 1 percent, while those of persons 18 years of age 
and older were up 9 percent. 



21 



Sd'ot'l ltobboi*> 



I'pii^f 




i«s m 1987 m 





ltublH'i*> of Com I'll ioiifo Sloit> 




IM5 IW 1N7 IMt 




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 

1987 855.088 

1988 970,092 

Percent change +6. 4 



Rate per 100.000 

inhabitants 

351.3 

370.2 

+5.4 



23 



Volume 

Totaling an estimated 910,092 offenses nationally, ag- 
gravated assaults in 1988 occurred most frequently in the 
summer months. Geographic distribution figures show that 
36 percent of the aggravated assault volume was accounted 
for by the Southern States, 25 percent by the Western 
States, 20 percent by the Midwestern States, and 19 
percent by the Northeastern States. 

The 1988 monthly figures show that the greatest number 
of aggravated assaults was recorded during July and 
August, while the lowest volume occurred in February. 

Aggravated Assault by Month. 1984-1988 

[Percent of annual total] 



Months 

Januai7 

February 

March 

April 

May 

June 

July 

August 

September 

October 

November 

December 



1984 



7.0 
7.0 
7.8 
7.9 
8.7 
9.1 
9.6 
9.5 
8.8 
8.9 
7.6 
8.1 



1985 



7.0 
6.8 



9.0 
9.5 
9.5 
8.9 
8.8 
7.9 
7.4 



1986 



6.8 
6..1 
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 



Trend 

In 1988, aggravated assault increased 6 percent nation- 
wide in volume as compared to 1987. For the 2-year 
period, upward trends in the geographic regions ranged 
from an increase of 10 percent in the Northeastern States 
to 4 percent in the Midwestern States. Rises of 7 and 5 
percent were recorded in the Southern and Western States, 
respectively. 

By population grouping, cities with 250,000 to 499,999 
inhabitants recorded the greatest rise in aggravated assaults 
from 1987, 11 percent. Upswings of 8 percent in the 
suburban counties, 6 percent in the cities collectively, and 
1 percent in the rural counties were registered for this 
offense during the same time period. 



Five- and 10-year trends show aggravated assaults up 33 
percent above the 1984 level and 45 percent over the 1979 
experience. 

Rate 

Up 5 percent above the 1987 rate, there were 370 
reported victims of aggravated assault for every 100,000 
people nationwide in 1988. Higher than the national 
average, the rate in metropolitan areas was 422 per 
100,000. Cities outside metropolitan areas experienced a 
rate of 286 and rural counties, a rate of 141. 

Nationwide, the rate for aggravated assault showed 
increases of 28 percent over 1984 and 29 percent over 
1979. 

Nature 

In 1988, 31 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 27 percent of the 
offenses; and knives or cutting instruments and firearms in 
21 percent each. 

From 1987 to 1988, aggravated assaults committed with 
knives or cutting instruments and personal weapons in- 
creased 4 percent while those assaults with blunt objects or 
other dangerous weapons increased 7 percent. Assaults 
where firearms were used showed the greatest increase 
during this 2-year period, 10 percent. 

Aggravated Assault, Type of Weapons Used, 1988 

[Percent distribution by region] 



Region 


Total 

all 

weapons' 


Fire- 
arms 


Knives or 
cutting 
instru- 
ments 


Olher 
weapons 
(clubs. 

blunt 
objects. 

etc.) 


Personal 
weapons 


Total 


100.0 


21.1 


20.5 


31.0 


27 4 






Northeastern States 

Midwestern States 

Southern States 


100.0 
100.0 
100.0 
100.0 


15.9 
23.1 
26.3 
18.4 


23.5 
20.8 
23.1 
15.6 


34.3 
32.1 
29.7 
29.3 


26.4 
24.0 
20 9 


Western States 


36.7 



'Because of rounding, percentages may nol add lo totals. 



24 






Aggravated Assault by I^lonth 

198a 

Variation from Annual AveragJ 



20 

15 

10 

5 



■5 t 
-10 
-15 
-20 




Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec. 




Aggravated 
Assault 



Number of On'enses 
Kno\vn - 1'|)33*Iy 

Rale per lOO.iMM) 
Inhabitants - 1 p 28% 



1984 



1985 



1986 



1987 



25 



Clearances 

During 1988, 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 60 and 67 percent, respectively. Among 
the city groupings, those with populations less than 10,000 
recorded the highest clearance rate, 66 percent. 

Geographically, clearance percentages for aggravated 
assault were 62 percent in the South, 60 percent in the 
West, 55 percent in the Northeast, and 48 percent in the 
Midwest. 

Eight percent of the clearances reported by suburban 
county agencies involved only persons under age 18. 
Persons in this age group were identified as the assailants 
in 9 percent of the national and city clearances and 6 
percent of those in rural counties. 



Persons Arrested 

The estimated 416,300 persons arrested for aggravated 
assault in 1988 represented 67 percent of all arrestees for 
violent crimes. Whites comprised 58 percent of the 
arrestees; blacks, 41 percent; and all other races, the 
remainder. Eighty-seven percent of the arrestees were 
males and 13 percent, females. 

Total arrests for aggravated assault were up 1 1 percent in 
1988 from the 1987 total. During this 2-year period, 
juvenile arrests increased 13 percent and adult arrests rose 
10 percent. A comparison of 1984 and 1988 figures showed 
total arrests for this offense up 33 percent; those of persons 
under age 18, up 28 percent; and those of adults, up 34 
percent. 



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 

1987 3.236.184 

1988 3,218.077 

Percent change —.6 



Rale per 100.000 

inhabitants 

1.329.6 

1.309.2 

-1.5 



27 



Volume 

Estimated at over 3.2 million in 1988, burglaries ac- 
counted for 23 percent of all Crime Index offenses and 26 
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 23 percent, the Midwestern 
States with 19 percent, and the Northeastern States with 16 
percent. 

Like the previous year, more burglaries occurred in 
August than any other month. The lowest number was 
reported in April. 

Burglar) by Month, 1984-1988 

(Percent of annual tolal] 



Months 



January 
February 

March 

April 

May 

June 

July 

August 

September 

October 

November 

December 



1984 



8.3 
7.9 
8.0 
7.8 
8.0 
7.8 
8.7 
8.9 
8.3 
8.8 
8.4 
9.0 



1985 



8.2 
7.2 
8.2 
7,8 
8.0 
7.9 
9.0 
9.1 
8.5 
9.0 
8.5 
8.8 



1986 



8.4 
7.5 
8.3 
7.9 
8.1 
8,1 
8.9 
9.0 
8.5 
8.4 
8.1 
8.8 



1987 



8,4 
7.8 
8.3 
7,6 
8,0 
8,0 
8.8 
9.1 
8.4 
8.4 
8.4 



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 



Trend 

Nationwide, the burglary volume decreased 1 percent in 
1988 from the 1987 total. Cities with populations of 1 
million or more registered the only increase, 2 percent. 
Both the rural and suburban counties showed no change in 
their burglary volumes. 

Geographically, three of the four regions reported de- 
creases in burglaries in 1988 compared to 1987. The 
declines were 4 percent in the Midwestern States, 3 percent 
in the Western States, and 1 percent in the Northeastern 
States. The Southern States recorded the only increase in 
burglaries, 2 percent. 

Rate 

A burglary rate of 1,309 per 100,000 inhabitants was 
registered nationwide in 1988. The rate decreased 2 
percent from 1987 and was 13 percent below the 1979 rate. 
In 1988, for every 100,000 in population, the rate was 
1,457 in the metropolitan areas, 1,042 in the cities outside 
metropolitan areas, and 672 in the rural counties. 



Regionally, the burglary rate was 1,583 in the Southern 
States, 1,461 in the Western States, 1,039 in the Midwest- 
ern States, and 1,018 in the Northeastern States. A 
comparison of 1987 and 1988 rates showed declines of 4 
percent in the Midwest and West and 1 percent in the 
Northeast. The South registered a burglary rate increase of 
1 percent. 

Nature 

Two of every 3 burglaries in 1988 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 $3.3 billion 
in 1988, and the average dollar loss per burglary was 
$1,014. The average loss for residential offenses was 
$1,037, while for nonresidential property, it was $967. 

Residential burglary showed a 2-percent decline from 
1987 to 1988; nonresidential offenses showed no change 
during the same period. 

Clearances 

In 1988, 13 percent of the burglaries brought to the 
attention of law enforcement agencies across the country 
were cleared. Geographically, a 15-percent clearance rate 
was registered in the South. In the Northeast, the rate was 
14 percent; in the West, 13 percent; and in the Midwest, it 
was 1 1 percent. 

Rural county law enforcement cleared 16 percent of the 
burglaries in their jurisdictions. Those in the suburban 
counties recorded a clearance rate of 14 percent, and 
agencies in cities obtained clearances in 13 percent. 

Adults were involved in 82 percent of all burglary 
offenses cleared, and only young people under 18 years of 
age were offenders in the remaining 18 percent. Similar to 
the national experience, persons under age 18 accounted 
for 18 percent of the burglary clearances in cities and 
suburban counties. Rural county law enforcement agencies 
reported 19 percent of their burglary clearances involved 
only juveniles. The highest degree of juvenile involvement 
was recorded in the Nation's smallest cities (under 10,000 
population) where young persons under 18 years of age 
comprised 26 percent of the clearances. 



28 




15 

10 

5 





Burglary by Month 

1988 ,^__^ 

Variation from Annual^lTera^ 




Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec. 




Burglary 






1984 



1985 



1986 



1987 



1988 



29 







30 



ersons Arrested 

In the UCR Program, several persons may be arrested in 
)nnection with the clearance of one crime, or the arrest of 
le individual may clear numerous offenses. The latter is 
'ten true in cases of burglary for which an estimated 
33,400 arrests were made in 1988. Arrest trends between 
987 and 1988 show a 1-percent decrease in total burglary 
rests. Arrests of persons under 18 years of age declined 4 
ircent, while those for adults increased 1 percent. For the 



same 2-year time period, total burglary arrests in the cities 
recorded virtually no change, while in the rural and 
suburban counties, they showed decreases of 4 and 3 
percent, respectively. 

Ninety-two percent of the burglary arrestees during 1988 
were males and 67 percent were under 25 years of age. Of 
the total burglary arrestees, whites accounted for 67 
percent, blacks for 31 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 

1987 7.499.851 

1988 7.705.872 

Percent change -1-2.7 



Rate per 100.000 
inhabitants 
3.081.3 
3.134.9 

+ 1.7 



32 



^tlume 

Larceny-theft offenses, estimated at 7,705,872 during 
188, comprised 55 percent of the Crime Index total and 
( percent of the property crimes. When viewed monthly, 
1 ccny-thefts were recorded most often during August and 
list frequently in February. 



Iceny-Theft by Month, 

; 'coni of annual total] 


1984-1988 








Months 


1984 


1985 


1986 


1987 


1988 




7.5 
7.6 
8.0 
8.0 
8.2 
8.4 
9.0 
9.4 
8.3 
8.9 
8.2 
8.5 


7.4 
7.0 
8.2 
8.1 
8.4 
8.5 
9.3 
9.5 
8.4 
8.9 
8.2 
8.1 


7.8 
7.2 
8.3 
8,2 
8.4 
8.6 
9.1 
9.3 
8.4 
8.5 
7.9 
8,3 


7.6 
7.5 
8.3 
8.0 
8.2 
8.5 
9.1 
9.2 
8,4 
8.6 
8.1 
8,4 


7,6 




7.5 


8 rch 


8.2 


/ il 


7,8 


fty 


8,3 


Je 


8.5 


J 


9.0 




9.5 




8.5 


C ober 


8.7 




8.2 




8.3 







Regionally, the most populous Southern States recorded 
; percent of the total. The Western States registered 24 
1 rcent; the Midwestern States, 22 percent; and the 
i )rtheastem States, 1 7 percent. 



end 



Compared to 1987, the 1988 volume of larceny-thefts 
i ;reased 3 percent in the Nation and 2 percent in all cities 
< Uectively. Both the suburban and rural counties also 
! awed 3-percent increases. 

Volume increases were recorded in the Southern States, 
' percent; and in the Western and Northeastern States, 3 
1 rcent. The Midwestern States registered virtually no 
( ange. 

The 5- and 10-year national larceny trends showed a 17- 
1 rcent increase over the totals for both 1984 and 1979. 



Rate 

The 1988 larceny-theft rate was 3,135 per 100,000 
United States inhabitants, 2 percent higher than in 1987. 
The 1988 rate was 12 percent above the 1984 level and 5 
percent higher than in 1979. The 1988 rate was 3,506 per 
100,000 inhabitants of metropolitan areas; 3,298 per 
100,000 population in cities outside metropolitan areas; 
and 973 per 100,000 people in the rural counties. 

Regionally, the Western States' larceny-theft rate in- 
creased 1 percent over the 1987 level to 3,642 per 100,000 
inhabitants. The rates were 3,338 in the Southern States 
and 2,594 in the Northeastern States, up 3 and 2 percent, 
respectively. The Midwestern States" rate, 2,877, showed 
virtually no change in 1988 as compared to 1987. 

Nature 

The average value of property stolen due to larceny-theft 
during 1988 was $426, up from $404 in 1987. When the 
average value was applied to the estimated number of 
larceny-thefts, the loss to victims nationally was $3.3 
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 25 percent of 
the thefts reported to law enforcement in 1988 ranged from 
$50 to $200. while in 35 percent, they were over $200. 

Losses of goods and property reported stolen as a result 
of pocket-picking averaged $384; purse-snatching, $228; 
and shoplifting, $104. Thefts from buildings resulted in an 
average loss of $673; from motor vehicles, $461; and from 
coin-operated machines, $144. The average value loss due 
to thefts of motor vehicle accessories was S297 and for 
thefts of bicycles, $188. 



33 



15 

10 

5 •• 



-5 

-10 

-15 



Larceny - Theft by Month 

1988 

Variation from Annual Average 





Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec. 




Larceny / 
Theft 



Number of Offenses 
Known - Lp 17% 

Rate per 100,000 
Inliat)itunls - Up 12% 



1984 



1985 



1986 



1987 



1988 



34 



Thefts of motor vehicle parts, accessories, and contents 
ade up the largest portion of reported larcenies — 38 
rcent. Also contributing to the high volume of thefts 
jre those from buildings and shoplifting, each accounting 
T 15 percent; and bicycle thefts, accounting for 6 percent. 
ne remainder were distributed among pocket-picking, 
irse-snatching, thefts from coin-operated machines, and 
i other types of larceny-thefts. The accompanying table 
esents the distribution of larceny-theft by type and 
ographic region. 

Kceny Analysis by Region, 1988 

ircenl distribulion] 



al' 



cket-plcking 

■^e-snatching ...... 

)plifling 

im motor vehicles 
except accessories) 
>tor vehicle 

ccessories 

ycles 

im buildings 

)m coin-operated 

nachines 

others 



United 
States 
Total 



100.0 



1.1 

1.2 

15.1 

21.6 

16.4 
5.7 
15.1 

.9 
22.9 



North- 
eastern 
States 



100.0 



3.6 

2.2 
12.1 

21.7 

18.1 
5.4 
19.3 

1.4 
16.3 



Mid- 
western 
States 



100.0 



1.2 

12.7 

18.9 

15.8 
6.0 
19.4 

.6 
24.5 



Southern 
Stales 



100.0 



.4 

1.0 

15.6 

18,9 

18.3 
4.5 
11.7 

1.1 
28.5 



Western 
States 



100.0 



.4 

.8 

18.5 

27.1 

13.6 
6.9 
12.4 

.7 
19.8 



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

learances 

Twenty percent of the reported larceny-thefts were 
eared nationwide and in cities during 1988. The highest 
earance rate, 24 percent, was reported by law enforce- 
ent agencies in cities from 10,000 to 24,999 in popula- 
Dn. Those in suburban and rural counties recorded 17- 
:rcent clearance rates. 



Regionally, law enforcement agencies in the West 
cleared 21 percent of the larceny offenses brought to their 
attention. The clearance rate in the South was 20 percent; 
in the Midwest, 19 percent; and in the Northeast, 18 
percent. 

Twenty-two percent of the larceny-theft clearances na- 
tionally and in the cities involved only offenders under 18 
years of age. Nineteen percent of those in suburban 
counties and 17 percent of those in rural counties were 
accounted for by persons in this age group. 

Persons Arrested 

Between 1987 and 1988, the total number of persons 
arrested for larceny-theft increased 1 percent. Female 
arrests for this offense decreased 1 percent, and those of 
males increased 2 percent. During this same period, adult 
arrests rose 3 percent, while those of persons under 18 
years of age showed a decline of 2 percent. 

Considering a longer timeframe, larceny-theft arrests 
showed a 14-percent increase for the 5-year period, 1984- 
1988. Juvenile arrests were up 3 percent, and those of 
adults rose 19 percent. Male arrests increased 13 percent 
and female arrests, 16 percent during this 5-year timespan. 

Larceny-thefts not only comprised the largest portion of 
Crime Index offenses reported to law enforcement, this 
offense accounted for 55 percent of the arrests for Index 
crimes and 70 percent of those for property crimes in 1988. 
Forty-four percent of the larceny arrestees were 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 1988, comprised 30 percent of all 
larceny-theft arrestees. 

Whites accounted for 66 percent of the total larceny- 
theft arrests, blacks for 32 percent, and all other races for 
the remainder. 



35 















Vtwki-t - Picking 






Down 4% 






6 


^^^ 




S 


^^^^^^^ 




4 


^^^^^^^^ ^^^^^^H 




i 


y/^ 




^^^^\ 






2 


/^ 




\ 










\ 










-2 












-3 












■4 










1184 1985 1986 19S7 


1988 













Purse - Snaleliin^ 



Up 9% 




Shoplifliiiij 




Tlit'fl I'i'oin !>lolor Vt'liieleN 



Up 30% 




caw. wt«»*wf »ffv^tT 



liiol'l 4>f Ill<>l(»i* \t'liicl«' \<'C'oss<»i«i(><< 



Up 8% 




Thofl of Bio c*loK 




Tliol'l I'rom ISiiildin;^^ 




1987 1988 



36 





lii«'l'l t'i*4»iii C'»iii !>la<*liiii«'s 




Up 33% 






35 


. 1 




30 




1 




25 










20 












IS 














10 














s 


^^ 














1984 1985 198« 1987 1988 


















1 



LARCENY-THEFT 

Percent Distribution by Type of Theft 

1988 




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

■SHOPLIFTING 15% 

BICYCLES 6% 



■FROM MOTOR VEHICLES 22% 



FROM BUILDINGS 15% 



MOTOR VEHICLE 
ACCESSORIES 16% 



ALL OTHERS 23% 



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. 





TRFNn 








Rate per 100.000 


Year 


Number of offenses 


inhabitants 


1987 


1.288.674 


529.4 


1988 


1.432.916 


582.9 


Percent change 


. . +11.2 


+10.1 







38 



olume 

An estimated total of 1,432.916 thefts of motor vehicles 
aurred in the United States during 1988. These offenses 
imprised 12 percent of all property crimes. The regional 
istribution of motor vehicle thefts showed 31 percent of 
le volume was in the Southern States, 25 percent each in 
le Northeastern and Western States, and 19 percent in the 
lidwestern States. 

Motor vehicle theft figures by month showed that the 
-eatest number occurred in August, while the lowest was 
1 April. 

lotor Vehicle Theft by Month, 1984-1988 

ercenl of annual tolal] 



Months 



nuar>' 

ibruary 
arch 
aril ... 



ly 

jgusi ... 
I :plember 
' ctober . . 
( ovember 

ecember 



1984 



8.0 
7.7 
8.0 
7.8 
8.0 
8.0 
8.8 
9.1 
8.7 
8.9 
8.5 
8.6 



1985 



7.8 
7.1 
8.1 
7.8 
8.0 
8.2 
8.9 
9.1 
8.7 
9.1 
8.6 
8.7 



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 



8.0 
7.6 
7.9 
7.4 
7.8 
8.0 
8.8 
9.4 
8.7 
9.0 
8.7 
8.7 



I'rend 



The number of motor vehicle thefts increased 1 1 percent 
ationally from 1987 to 1988. This upward trend was 
vident in all population groups with cities having popula- 
ions of 1 million and over showing the largest increase, 16 
lercent. Suburban and rural counties showed increases of 
1 percent and 4 percent, respectively. 

Geographically, all four regions experienced motor vehi- 
le theft increases. The increases were 14 percent in both 
he Northeastern and Western Regions, 10 percent in the 
iouthern Region, and 5 percent in the Midwestern Region. 

The accompanying chart shows that the volume of 
notor vehicle thefts in 1988 increased 39 percent over the 
984 volume. 



For every 100,000 inhabitants living in MSAs, there 
were 713 motor vehicle thefts reported in 1988. The rate in 
cities outside metropolitan areas (other cities) was 210 and 
in rural counties, 114. 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 1988 motor vehicle theft 
rate was 1,448. The Nation's smallest cities, those with 
fewer than 10,000 inhabitants, recorded a rate of 236 per 
100,000. 

Among the regions, the motor vehicle theft rates ranged 
from 713 per 100,000 people in the Northeastern States to 
446 in the Midwestern States. The Western States' rate was 
71 1 and the Southern States' rate, 526. From 1987 to 1988, 
rate increases were registered in all regions. In the 
Northeastern States, the increase was 13 percent; in the 
Western States, 12 percent; in the Southern States, 9 
percent; and in the Midwestern States, 5 percent. 

An estimated average of 1 of every 128 registered motor 
vehicles was stolen nationwide during 1988. Regionally, 
this rate was greatest in the Northeast where 1 of every 91 
motor vehicles registered was stolen. The other three 
regions reported lesser rates — 1 per 1 10 in the West, 1 per 
147 in the South, and 1 per 172 in the Midwest. 

Nature 

During 1988, an estimated national loss of over $7 
billion was due to motor vehicle theft. At the time of theft, 
the average value per vehicle stolen was $5,117. 

Seventy-seven percent of all motor vehicles reported 
stolen during the year were automobiles, 15 percent were 
trucks or buses, and the remainder were other types. 

Motor Vehicle Theft, 1988 

[Percent distribution by region] 



Region 


Total' 


.Autos 


Trucks 
and 
buses 


Other 

vehicles 


Total 


100.0 


77.3 


15.2 


7 5 






Northeastern States 

Midwestern States 

Southern States 


100.0 
100.0 
100.0 
100.0 


92.4 
80.8 

72.7 
65.7 


4.5 
10.1 
18.8 
24.6 


3.0 
9.0 
8 6 




9 7 







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



tate 



The 1988 national motor vehicle theft rate — 583 per 
00,000 people — was 10 percent higher than the rate in 
987. The rate was 33 percent higher than in 1984 and 15 
percent above the 1979 rate. 



39 




Motor Vehicle Theft by Month 

1988 

Variation from Annual Average 




15 

10 

5 





Jan. Feb. Mar. Apr. May June July Aug. Sept Oct. Nov. Dec. 




Motor 

Vehicle 

Theft 



Number ol f ^'' 
Known - I 

Kak' i)cr KKKOOO 
inhabitanl 



1984 



1985 



1986 



1987 



1988 



40 



?learances 

Law enforcement agencies nationwide cleared 15 per- 
ent of the motor vehicle thefts reported in their locales 
luring 1988. Those in cities cleared 14 percent; those in 
uburban counties cleared 18 percent; and rural county 
gencies cleared 33 percent. 

Regional clearance percentages for motor vehicle theft 
v/ere 10 percent in the Northeastern States, 15 percent in 
he Midwestern States, 16 percent in the Western States, 
nd 19 percent in the Southern States. 

Persons in the under- 18 age group accounted for 21 

'lercent of the motor vehicle thefts cleared in the Nation 

nd for 22 percent in the cities. They comprised 1 8 percent 

if the clearances in the suburban counties, and in the rural 

ounties, 19 percent. 



Persons Arrested 

During 1988, males accounted for 90 percent of the 
persons arrested for motor vehicle theft. Fifty-nine percent 
of the arrestees were white, 40 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 
1988, 58 percent of all persons arrested for this offense 
were under 21 years of age, and those under 18 comprised 
40 percent of the total. Between 1987 and 1988, arrests of 
males under age 18 rose 20 percent and those of females 
within the same age range, 14 percent. 

Total motor vehicle theft arrests were up 18 percent and 
adult arrests rose 17 percent in 1988 over the previous 
year. Overall arrests for this offense were 63 percent higher 
in 1988 than in 1984 and 20 percent above the 1979 level. 



41 



ARSON 
DEFINITION 



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

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



42 



^olume 

A total of 101,097 arson offenses was reported by 12,367 
aw enforcement agencies across the country; these agen- 
ies furnished from 1 to 12 months of reports during 1988. 
)f these reporting agencies, 12,184 provided the detailed 
nformation — type of structure, estimated monetary value 
f the property damaged, etc. — from which the tables on 
he accompanying pages were tabulated. Further informa- 
ion regarding arson offenses and trends is presented in 
'ables 6 through 13 and arson clearances in Tables 20 
hrough 23. Since only 8,164 agencies covering 70 percent 
if the United States population submitted reports for all 
2 months of the year, the data user should be aware that, 
vhile conservative indicators, the figures do not represent 
Ihe Nation's total arson experience. 

Trend 

The number of arson offenses reported nationally in- 

■ reased 1 percent in 1988 as compared to the 1987 total. 

lural and suburban county arson counts declined, 5 and 3 

)ercent, respectively, while the Nation's cities showed a 3- 

)ercent increase. 

Geographically, arson increases were experienced in the 
iouth, 5 percent; and in the Northeast and Midwest, 1 
)ercent each. A 1 -percent decline was recorded in the 
iVest. 

By property type nationally, the number of arsons of 
nobile property declined 3 percent; arsons of structures 
iropped 1 percent; and those of all other property in- 
;reased 6 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, 1988 

(8,164 agencies; 1988 estimated population 171,120.000: 
rate per 100,000 inhabitants] 



Group 

Total 

Total cities 

Group 1 (cities 250,000 and over) , 

(cities 1,000,000 and over) 

(cities 500,000 to 9W.999) 

(cities 250,000 to 499.999) 

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) .... 

Suburban counties 

Rural counties 

Suburban area 



Rate 



51.0 



59.6 



92.6 
108.2 

75.4 
82.6 
71,8 
4b. i 
36.8 
29.2 
27.9 

37.0 

20.3 

34.4 



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 1988 rates are shown in the accompanying table. 

The rates ranged from 108 per 100,000 inhabitants in 
cities with populations over 1 million to 20 per 100,000 
rural county inhabitants. The suburban counties and all 
cities collectively recorded rates of 37 and 60 per 100,000 
inhabitants, respectively. Overall, the 1988 national arson 
rate was 51 per 100,000 population. 

Regionally, the highest arson rate was registered in the 
Western States with 54 offenses per 100.000 population. 
Following were the Southern and Midwestern States with 
rates of 40 per 100,000 and the Northeastern States with 
38 per 100,000. 

Nature 

As in previous years, structures were the most frequent 
target of arsonists in 1988 and comprised 55 percent of the 
reported incidents. Twenty-six percent of the arsons were 
directed at mobile property (motor vehicles, trailers, etc.), 
while other types of property (crops, timber, etc.) account- 
ed for 19 percent. 

Arson, Type of Property, 1988 

[12,184 agencies, 1988 estimated population 192.236.000) 



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 43 percent of such 
offenses directed at single-occupancy dwellings. Nineteen 
percent of all targeted structural property was either 
uninhabited or abandoned at the time the arson occurred. 

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



43 



Arson, Structures Not in Use, 1988 

[12,184 agencies; 1988 eslimaled population 192,236,000] 



Type of structure 



Total 

Single occupancy residential 

Other residential 

Storage 

Industrial/manufacturing . . . 

Other commercial 

Community/public 

Other structure 



Number 

of 
offenses 



44,581 



19,290 
8,369 
4,456 
754 
5,068 
4,141 
2,503 



Percent 

not 
in use 



18.6 



23.3 
13.3 
22.3 
14.5 
10.5 
8.1 
28.4 



The monetary value of property damaged due to report- 
ed arsons during 1988 totaled over $1 billion, and the 
average loss per incident was $12,467. The overall average 
for all types of structures was $20,229. While industrial/- 
manufacturing property was the structural classification 
with the lowest number of offenses, 754, it showed the 
highest average loss — $75,415. Mobile properties averaged 
$4,620 per incident, and other targets averaged $660. 
Arson, Monetary Value of Property Damaged, 1988 
[12,184 agencies; 1988 estimated population 192,236,000) 



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 



81,063 



44,581 
19,290 
8,369 
4,456 
754 
5,068 
4,141 
2,503 

21,387 

19,758 

1,629 

15.095 



Average 
damage 



$12,467 



20,229 
14,963 
14,388 
16,408 
75,415 
46,856 
16,415 
22,924 

4,620 
4,085 
11,113 

660 



Clearances 

The national 1988 arson clearance rate was 15 percent. 
Cities with populations under 10,000 showed the highest 
rate, clearing 24 percent of the arson offenses brought to 
their attention. Rural county law enforcement agencies 
cleared 22 percent; those in suburban counties, 18 percent; 
and city departments, 14 percent. 

Regionally, the Southern States reported a clearance rate 
of 21 percent; the Western States, 14 percent; and both the 
Midwestern and Northeastern States, 12 percent. 

Thirty-nine percent of all 1988 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 38 percent 



of structural arson clearances, 2 1 percent of the clearances 
for arsons of mobile property, and 60 percent of those of all 
other property. 
Arson Offenses Cleared by Arrest,' 1988 

[12,184 agencies^; 1988 estimated population 192,236,000] 



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 



81,063 



44,581 
19,290 
8,369 
4,456 
754 
5,068 
4,141 
2,503 

21,387 

19.758 

1,629 

15,095 



Percent 
cleared 
bv arrest 



18.2 



22.1 
22.2 
24.1 
18.2 
15.4 
16.4 
32.5 
17.1 

10.2 
9.8 
15.4 

18,0 



'Includes offenses cleared by exceptional means. 

^To be included in this table, it was necessary that arson clearances be reported by 
property classification. 

By population grouping, juveniles were the offenders in 
41 percent of the city arson clearances, 37 percent of those 
in suburban counties, and 25 percent of those in the rural 
counties. 

The accompanying tables show clearance data only for 
those 12,184 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 
(32 percent) was recorded for offenses in which community 
or public structures were involved, while the lowest rate 
(10 percent) was registered for motor vehicles. 

Arson Offenses Cleared by Arrest' of Persons under 18 Years of Age, 
1988 



[12,184 agencies^ 1988 estimated population 192,236,000] 
Property classincation 



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. 

^To be included in this table, it was necessary that arson clearances be reported by 
property classification. 



44 



ersons Arrested collectively. The rural counties registered a 1 -percent rise. 

The estimated number of arrests for arson during 1988 Suburban counties recorded a 2-percent decline, 

taled 19,700. Forty-three percent of the arrestees were Arrests of persons under the age of 18 increased 8 

ider 18 years of age and 63 percent were under 25. Males Percent from 1987 to 1988, while adult arrests showed a 2- 

)mprised 87 percent of all arson arrestees. Seventy-three Percent increase nationwide. During the same period 

;rcent of those arrested were white, 25 percent were overall, male arrests for arson were up 4 percent and total 

ack, and the remainder were of other races. female arrests, up 3 percent. 

Trends for 1987 versus 1988 show arson arrests in- "^^e 1988 arson arrest total for all ages was 2 percent 

eased 4 percent nationwide and 6 percent in all cities t>elow the 1984 level and 8 percent lower than in 1979. 



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, 1988 annual figures are 
not available for inclusion in tables presenting statistics for 
the total United States. Arson totals reported by individuals' 
law enforcement agencies are displayed in Tables 6« 
through 9. Two-year arson trends are shown in Tables 10 
through 13. 



46 



rime Index Total 














Considering 5- a 


nd 10-year timeframes, the 1988 v 


iolent 




and property crime totals each showed increases. Violent 


The Crime Index total rose 3 percent to 13.9 million 


crime was up 23 percent and property crime, 16 percent 


Tenses in 1988. Five- and 10-year percent changes 


over 1984 figures. A comparison of 1979 and 1988 figures 


lowed the 1988 total was 17 percent above the 1984 level 


showed upswings of 30 percent for violent crime and 12 


id 14 percent higher than in 1979. 


percent for property crime. National estimates of volume 


From 1987 to 1988, overall violent crime showed a 6- 


and rate per 100,000 inhabitants for all Crime Index 


:rcent increase. Among the violent crimes, aggravated 


offenses covering the past decade are set forth in Table 1, 


,sault increased 6 percent; robbery, 5 percent; murder, 3 


"Index of Crime, United States, 1979-1988." Crime rates 


' ;rcent; and forcible rape, 2 percent. 


relate the incidence of reported crime to population. 


The number of property crimes increased 3 percent for 


Table 2, "Index of Crime, United States, 1988," shows 


le 2-year period. Motor vehicle theft rose 1 1 percent, and 


current year estimates for MSAs, rural counties, and cities 


rceny-theft was up 3 percent. Burglary showed a 1- 


and towns outside metropolitan areas (other cities). See 


srcent decline. 


Appendix III for the definitions of these community types. 


able 1.— Index of Crime, United States, 1979-1988 








Modified 






M 


urder 
















' Population' 

r 


Cnme 
Index 
total- 


Crime 
Index 
total' 


Violent 
crime' 


Property 
cnme' 


and non- 
negligenl 

man- 
slaughter 


Forcible 
rape 


Robbery 


.Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


Arson' 


1 
imber of ofTenses: 




























, 1979-:20.099.00O 


12,249,500 




1,208,030 


11,041,500 




21,460 


76,390 


480,700 


629,480 


3,327,700 


6,601,000 


1,112,800 




1980-225,349.264 


13,408,300 




1.344,520 


12,063,700 




23,040 


82,990 


565,840 


672,650 


3,795,200 


7,136,900 


1,131,700 




1981-229,146,000 


13,423.800 




1,361,820 


12,061.900 




22,520 


82,500 


592.910 


663,900 


3,779,700 


7,194,400 


1,087.800 




1982-231,534,000 


12.974,400 




1,322,390 


11,652,000 




21,010 


78,770 


553,130 


669,480 


3,447,100 


7,142,500 


1.062.400 




1983-233,981,000 


12,108,600 




1,258,090 


10,850,500 




19,310 


78,920 


506.570 


653,290 


3,129.900 


6,712,800 


1,007.900 




'J^4.236,158,000 


11,881,800 




1,273.280 


10,608,500 




18,690 


84,230 


485,010 


685,350 


2,984,400 


6,591,900 


1,032,200 




NS5-238,740.0O0 


12,431,400 




1,328,800 


11,102,600 




18,980 


88,670 


497,870 


723,250 


3,073,300 


6.926,400 


1,102,900 




,', 1986-241,077,000 


13,211,900 
13,508,700 




1,489,170 
1,484,000 


11,722,700 
12,024,700 




20,610 
20,100 


91,460 
91,110 


542.780 
517.700 


834,320 
855,090 


3,241,400 
3,236,200 


7,257,200 
7,499,900 


1,224,100 
1,288,700 




(I 1987-243,400,000 ...'. 




' 1988-245.807.000 


13,923,100 




1,566,220 


12,356,900 




20,680 


92,490 


542,970 


910.090 


3,218,100 


7,705,900 


1,432,900 




;rcent change: number of 




























offenses: 




























1988/1987 


-1-3.1 
-H7.2 




-1-5.5 
-(-23.0 


+2.8 
+ 16.5 




+2.9 
+ 106 


+ 1.5 
+9.8 


+4.9 
+ 12,0 


+6,4 
+32,8 


-.6 
+7.8 


+2,7 
+ 16,9 


+ 11,2 
+38,8 




1988/1984 




1988/1979 


-H3.7 




+29.7 


+ 11.9 




-3.6 


+21.1 


+ 13 


+44,6 


-3.3 


+ 16,7 


+28,8 




ate per 100,000 inhabitanis: 




























1979 


5,565,5 
5.950.0 




5489 
596.6 


5,016.6 
5,353.3 




9.7 
10.2 


34.7 
368 


218.4 
251.1 


286,0 
298.5 


1.511 9 
1,684.1 


2,999.1 
3,167.0 


505,6 
502,2 




1980 




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 




594.3 
571.1 
537.7 
539.2 
556.6 
617.7 
609.7 
637.2 


5,263.9 
5,032,5 
4,637.4 
4,492,1 
4,650.5 
4,862.6 
4,940.3 
5.027.1 




9.8 
9 1 
8.3 
7.9 
7.9 
8.6 
8.3 
8.4 


36.0 
34.0 
33.7 
35.7 
37.1 
37.9 
37.4 
37.6 


258.7 
238.9 
216.5 
205.4 
208.5 
225.1 
212.7 
220.9 


289.7 
289.2 
279.2 
290.2 
302.9 
346.1 
351.3 
370.2 


1,649.5 
1,488.8 
1,337,7 
1,263,7 
1,287.3 
1,344.6 
1,329,6 
1,309.2 


3,139.7 
3,084.8 
2,868.9 
2.791.3 
2.901.2 
3,010,3 
3,081,3 
3,134.9 


474.7 
458,8 
430.8 
437.1 
462.0 
507.8 
529.4 
582.9 




1982 




1983 




1984 




1985 




1986 




1987 




1988 




•ercent change: rate per 100.000 




inhabitants: 




























1988/1987 


-1-2.1 

+ 12.6 

-1-1.8 




+4.5 
+ 18.2 

+ 16.1 


+ 1.8 
+ 11.9 

+.2 




+ 1.2 
+6.3 
-134 


+.5 
+ 5.3 
+8.4 


+3.9 
+7.5 
+ 1.1 


+ 5.4 
+27.6 
+29.4 


-1.5 
+3.6 
-13.4 


+ 1.7 
+ 12.3 

+4.5 


+ 10,1 
+33.3 
+ 15.3 




1988/1984 




1988/1979 








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


^Because of rounding, the offenses mav 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 oflenses of murder, forcible rape, robbery, and aggravated assault. Property crimes are offenses of burglary, larceny-theft, and motor vehicle theft. Data are not included 


or the properly crime of arson. 




All rates were calculated on the offenses before rounding. 






was necessary that their crime counts be estimated. See "Offense Estimation", page 3 for details. 


Provided in Table 3, "Index of Crime, Regional Offense 


consider each region's proportion of the total United States 




population. For example, although the Southern States 


geographical distribution of estimated Index crimes and 


accounted for the largest volume of Crime Index offenses 


population. When utilizing figures presented on a regional 


in 1988, they also represented the greatest regional popula- 


basis in this publica 


tion, th 


e reade 


r is cai 


jtioned 


to 


tio 


n. 












47 




Crime 
Index 
Total 



Number of Offenses 
Known - Up 11% 

Rate per 100,()(K) 
Inhabitants - Up 13% 



1984 



1985 



1986 



1987 



1988 



48 



ble 2.— Index of Crime, United States, 1988 



Population' 



Crime 
Index 
total 



Modified 
Crime 
Index 
totaP 



Violent 
crime^ 



Property 
crime' 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary' 



Larceny- 
theft 



Motor 

vehicle 

theft 



Arson' 



ited States Total .., 
Rate per 100,000 
inhabitants 



245,807,000 



13,923,086 



5,664.2 



1,566,221 

637.2 



12,356,865 

5,027.1 



20.675 
8.4 



92,486 

37.6 



542,968 

220.9 



910,092 

370.2 



3,218,077 

1.309.2 



7,705,872 
3,134.9 



1,432,916 

582.9 



tropolitan 

•latistical .\refl 

Area actually reporting* 

Estimated totals 

Rale per 100,000 

inhabitants 

ler Cities 

,^rea actually reporting* 

Estimated totals 

Rate per 100,000 

inhabitants 

ral Counties 

Area actually reporting* 

Estimated totals 

Kile per 100.000 

inhabitants 



188,840,272 

92.9% 
100.0% 



22,825,826 

89,8% 
100.0% 



34,143,902 

83.2% 
100.0% 



11,994,651 
12,138,001 



6.427,7 



1,053,208 
1,123,289 



4.921.1 



609,065 
661,796 



1,938.3 



1,408,575 
1,420,208 



752.1 



79,043 
84,658 



370.9 



55,549 
61,355 



179.7 



10,586,076 
10,717,793 



5,675.6 



974,165 
1,038,631 



4,550.2 



553,516 
600,441 



1,758.6 



17,679 
17,821 



9.4 



944 
1,020 



4.5 



1,647 
1,834 



5.4 



79,531 
80,473 

42.6 

5,423 
5,784 

25.3 

5,600 
6,229 

18.2 



522,526 
525,143 



278.1 



11,737 
12,606 



55.2 



4,784 
5,219 



15.3 



788,839 

796,771 



421.9 



60.939 
65,248 



285.9 



4.3,518 
48,073 



140.8 



2,714,892 
2,750,738 



1,456.6 



222,138 
237,731 



1,041.5 



210,939 
229,608 



672.5 



6,537,778 
6,620,944 



3,506.1 



706,864 
752,854 



3.298.3 



306,861 
332,074 



972.6 



1,333.406 
1,346,111 



712.8 



45,163 
48,046 



210.5 



35.716 
38,759 



11. V5 



'Populations are Bureau of the Census provisional estimates as of July I, 1988, 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 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 
property crime of arson. 

*The percentage representing area actually reponing will not coincide with the ratio between reported and estimated crime totals, since these data represent the sum of the calculations for 
lividual states which have varying populations, portions reporting, and crime rates. 
Data for 1988 were not available for the States of Rorida and Kentucky; therefore, it was necessary that their cnme counts be estimated. See "Offense Estimation", page 3 for details. 



ible 3. — Index of Crime, Regional Offense and Population Distribution, 1988 



Region 



Population 



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' 



nlted States TotaP 



100,0 



100,0 



100.0 



100,0 



100.0 



100.0 



100.0 



100.0 



100.0 



100.0 



100.0 



ortheastem States 
idwestem States . 

luthem States 

estem States .... 



20.6 
24.4 
34.5 
20.5 



18.2 
21.0 
37.1 
23.7 



22.0 
19.5 
35.0 
23.5 



17.8 
21.1 
37.4 
23.7 



18.4 
18.6 
42.2 
20,8 



15.9 
24.8 
36.6 
22.7 



27.8 
18.7 
32.6 
20.9 



19.2 
19.6 
36.1 
25.2 



16.0 
19.3 
41.8 
22.9 



17.1 
22.3 
36.7 
23.8 



25.2 
18.6 
31.2 
25.0 



'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 
e property cnme of arson. 

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

Data for 1988 were not available for the States of Florida and Kentucky; therefore, it was necessary that their crime counts be estimated. See "Offense Estimation", page 3 for details. 



49 



Forcible Rape 

1% 



Motor Vehicle Theft 

10% 



Larceny - Theft 

55% 



Aggravated Assault 

7% 



Burglary 




i 






l*<^r(«t»iii llisiri§iiiii<iii 



50 



Regional Violent and Property Crime Rates 

1988 

(per 100,000 inhabitants) 














Violent Crime Rate 












Property Crime Rate 









51 



Table 4. — Index of Crime: Region, Geographic Division, and 


State, 1987-1988 
























Modified Crime 


Violent 








Murder and non- 


Area 


Year 


Population' 






Index total- 










negligent manslaughter^ 








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 


United Stales Total* 


mi 


243,400,000 


13,508,708 


5.550.0 






1,483,999 


609.7 


12,024,709 


4,940.3 


20.096 


8 




1988 


245,807,000 


13,923,086 


5,664.2 






1,566,221 


637.2 


12,356,865 


5,027.1 


20.675 


8 








+3.1 


+2.1 






+5.5 


+4.5 


+2.8 


+ 1.8 


+2.9 


+1 








Northeast 


I9S7 


50,278,000 


2,432,912 


4.838.9 






319,482 


635.4 


2,113,430 


4,203.5 


3.450 


6 




1988 


50.611,000 


2,533,371 


5.005.6 






344.316 


680.3 


2,189.055 


4,325.3 


.3.811 


7 


Percent change 

New England 






+4.1 


+3.4 






+7.8 


+7,1 


+3.6 


+2.9 


+10.5 


+8' 


1987 


12,844,000 


590.666 


4,598.8 






54.197 


422.0 


536,469 


4.176.8 


441 


3 




1988 


12,966,000 


613.310 


4.730.1 






59.393 


458.1 


553,917 


4,272.1 


496 


3 








+3.8 


+2.9 






+9.6 


+8.6 


+3.3 


+2.3 


+ 12.5 


+11 


Connecticut 


1987 


3,211,000 


160,413 


4.995.7 






13.455 


419.0 


146,958 


4,576.7 


156 


4 




1988 


3,241,000 


165,214 


5,097.6 






14,759 


455.4 


150,455 


4,642.2 


174 


; 








+3.0 
41,928 


+2.0 
3,532.3 






+9.7 
1,806 


+8.7 
152.1 


+2.4 
40,122 


+ 1.4 
3,380.1 


+ 11.5 
30 


+1( 


Maine 


1987 


1,187,000 




1988 


1,206,000 


43,147 


3.577.7 






1,898 


157.4 


41,249 


3,420.3 


37 




Percent change 






+2.9 


+ 1 3 






+5.1 


+3.5 


+J.8 


^H.2 


+23.3 


+2'> 


Massachusetts 


1987 


5,855,000 


~'2r7,165 


4,733.8 






33.060 


564.6 


244,105 


4.169.2 


nr 






1988 


5,871,000 


_293i)15 

+5.7 
35,639 


^.990.9 

+5.4 
3,371.7 






36.376 


619.6 
+9.7 
149.6 


256.639 

+5.1 

34,058 


4.371.3 
3.222.1 


_208 

+20.2 

32 


+ li 


Percent change 






+ 10.0 
1.581 


New Hampshire 


1987 


1,057,000 




1988 


1,097,000 


36,573 


3,333.9 






1,622 


147.9 


34,951 


3.186.1 


25 




Percent change 






+2.6 
52,115 
51,784 


-1.1 
5,285.5 
5,204.4 






+2.6 
3,547 
3,947 


-1.1 
359.7 
396.7 


+2.6 
48.568 

47,837 


-1.1 
4,925.8 
4.807.7 


-21.9 
35 
41 


-2 


Rhode Island 


1987 
1988 


986,000 
995,000 




Percent change . . 






-.6 
23,406 


-1.5 
4,271.2 






+ 11.3 
748 


+ 10.3 
136.5 


-1.5 
22,658 


-2.4 
4,134.7 


+ 17.1 
15 


+1 


Vermont 


1987 


548,000 




1988 


556,000 


23,577 


4,2405 






791 


142.3 


22,786 


4.098.2 


11 










+.7 


-.7 






+ 5.7 


+4.2 


+.6 


-.9 


-26.7 


-2 








Middle Atlantic 


1987 


37,433,000 


1,842,246 


4,921.4 






265,285 


708.7 


1.576,961 


4.212.8 


3.009 






1988 


37,645,000 


1,920,061 


5,100.4 






284,923 


756.9 


1.635.138 


4.343.6 


3.315 




Percent change 






+4 2 


+3 6 






+7 4 


+6.8 


+3.7 


+3.1 


+ 10.2 


+1 


New Jersey 


1987 
1988 


7,672,000 
7,720,000 


403.662 
408.800 


5,261.5 
5,295.3 






41.507 
44.993 


541.0 
582.8 


362,155 
363,807 


4,720.5 
4.712.5 


351 
411 












+ 1.3 
1,061,021 


+.6 
5,952.4 






+8.4 
179,691 


+7.7 
1.008.1 


+.5 
881,330 


4,944.3 


+ 17.1 
2,016 


+ 1 
1 


New York 


1987 


17,825,000 




1988 


17,898,000 


1,129,241 


6,309.8 






196,396 


1,097.3 


932,845 


5,212.0 


2,244 


1 


Percent change 






+6.4 
377,563 


+6.0 
3,163.2 






+9.3 
44.087 


+8.8 
369.4 


+5.8 
333,476 


+5.4 
2,793.9 


+ 11.3 
642 


+ 1 




1987 


11,936,000 




1988 


12,027,000 


382,020 


3,176.4 






43.534 


362.0 


338,486 


2,814.4 


660 




Percent change 






+ 1.2 


+.4 






-1,3 


-2.0 


+ 1.5 


+.7 


+2.8 


-t 


See footnotes at end of table. 



























52 



' ble 4. — Index of Crime: Region, Geographic Division, and State, 1987- 


1988 














Forcible rape 


Robber) 


Aggravated 
assault 


Burglar) 


Larceny-theft 


Motor vehicle theft 


Arson- 


Number 


Rate per 
100,000 


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 


91.111 


37.4 


517,704 


212.7 


855,088 


351.3 


3,236,184 


1,329.6 


7,499,851 


3,081.3 


1,288,674 


529,4 






92,486 


37.6 


542,968 


220.9 


910,092 


370.2 


3,218,077 


1.309.2 


7,705,872 


3,134,9 


1,432,916 


582,9 






+1.5 


+0.5 


+4.9 


+3.9 


+«,4 


+5.4 


-0.6 


-1.5 


+2,7 


+1,7 


+11,2 


+10,1 






14,725 


29.3 


142,661 


283.7 


158,646 


315.5 


518.356 


1,031.0 


1,278,953 


2,543,8 


316.121 


628,7 






14,727 


29.1 


151,177 


298.7 


174,601 


345.0 


515,299 


1,018.2 


1,312,879 


2,594,1 


.360,877 


713,0 








-.7 
27.2 


+6.0 
17,837 


+ 5.3 
138.9 


+ 10.1 
32,420 


+9.4 
252.4 


■6 
137,961 


-1,2 
1,074.1 


+2.7 
314,253 


+2.0 
2,446.7 


+ 14,2 
84,255 


+ 13.4 
656.0 






3.499 




3.656 


28.2 


18,209 


140.4 


37,032 


285.6 


137,773 


1,062,6 


329,544 


2,541.6 


86,600 


667.9 






+4.5 


+3.7 


+2.1 


+ 1.1 


+ 14.2 


+ 13.2 


-.1 


-1.1 


+4.9 


+3,9 


+2.8 


+ 1.8 






800 


24.9 


5,720 


178.1 


6,779 


211.1 


39.120 


1,218.3 


90,852 


2,829.4 


16,986 


529.0 






849 


26.2 


6,080 


187.6 


7,656 


236.2 


39,477 


1,218.0 


91,079 


2,810.2 


19,899 


614.0 






+6.1 


+5.2 


+6.3 


+5.3 


+ 12.9 


+ 11.9 


+.9 




+.2 


-.7 


+ 17.1 


+ 16.1 






186 


15.7 


304 


25.6 


1,286 


108.3 


9,148 


7707 


28.916 


2,436.1 


2,058 


173.4 






224 


18.6 


311 


25.8 


1,326 


110.0 


9,852 


816-9 


28,928 


2,398.7 


2,469 


204.7 






+20.4 
1,868 


+ 18.5 
31.9 


+2.3 
10,379 


+.8 
177.3 


+3.1 
20,640 


+ 1.6 
352.5 


+7.7 
62,056 


+6.0 
1,059.9 




-1.5 

2,185.1 


+20.0 
54,110 


+ 18.1 
924.2 






127,939 




1.876 


32.0 


10,352 


176.3 


23,940 


407.8 


62,307 


1,061.3 


141,933 


2,417.5 


52,399 


892.5 






+.4 


+.3 


-.3 


-.6 


+ 16.0 


+ 15.7 


+.4 


+.1 


+ 10.9 


+ 10.6 


-3.2 


-3.4 






281 


26.6 


280 


26.5 


988 


93.5 


7,344 


694.8 


24,426 


2,310.9 


2,288 


216.5 






276 


25.2 


231 


21.1 


1,090 


99.4 


7,489 


682.7 


24,964 


2.275.7 


2,498 


227.7 






-1.8 


-5.3 


-17.5 


-20.4 


+ 10.3 


+6.3 


+2.0 


-1.7 


+2.2 


-1.5 


+9.2 


+5.2 






241 


24.4 


1.062 


107.7 


2,209 


224.0 


14,208 


1,441.0 


26,635 


2,701.3 


7,725 


783.5 






303 


30.5 


1,146 


115.2 


2,457 


246.9 


12,550 


1,261.3 


27,049 


2,718.5 


8,238 


827.9 






+25.7 


+25.0 


+7.9 


+7.0 


+ 11.2 


+ 10.2 


-11.7 


-12.5 


+ 1.6 


+.6 


+6,6 


+5.7 






123 


22.4 


92 


16.8 


518 


94.5 


6.085 


1,110.4 


15,485 


2,825.7 


1,088 


198.5 






128 


23.0 


89 


16.0 


563 


101.3 


6,098 


1,096.8 


15,591 


2,804.1 


1,097 


197.3 






+4.1 


+2,7 


-3.3 


-4.8 


+8.7 


+7.2 


+.2 


-1.2 


+.7 


-.8 


+.8 


-.6 






11,226 


30.0 


124,824 


333.5 


126,226 


337.2 


380,395 


1.016.2 


964,700 


2.577.1 


231,866 


619.4 






11.071 


29.4 


132,968 


353.2 


137,569 


365.4 


377,526 


1,002.9 


983,335 


2,612.1 


274,277 


728.6 






-1.4 


-2.0 


+6.5 


+5.9 


+9.0 


+8.4 


-.8 


-1.3 


+ 1.9 


+ 1.4 


+ 18.3 


+ 17.6 






2,559 


33.4 


17,862 


232.8 


20,735 


270.3 


77,392 


1,008.8 


219,906 


2,866.3 


64,857 


845.4 






2,600 


33.7 


18,927 


245.2 


23,055 


298.6 


75,675 


980,2 


219,086 


2,837.9 


69,046 


894.4 






+1.6 


+.9 


+6.0 


+5.3 


+ 11.2 


TlO.5 


-2.2 


-2.8 


-.4 


-1.0 


+6.5 


+5.8 






5,537 


31.1 


89.721 


503.3 


82,417 


462,4 


216,826 


1,216.4 


539,175 


3,024.8 


125,329 


703.1 






5,479 


30.6 


97.434 


544.4 


91,239 


509.8 


218,060 


1,218.3 


560,887 


3,133.8 


153,898 


859.9 






-1.0 


-1.6 


+8.6 


+8.2 


+ 10.7 


+ 10.3 


+.6 


+.2 


+4.0 


+3.6 


+22.8 


+22.3 






3,130 


26.2 


17.241 


144.4 


23,074 


193.3 


86,177 


722.0 


205,619 


1,722.7 


41,680 


349.2 






2,992 


24.9 


16.607 


138.1 


23,275 


193.5 


83,791 


696.7 


203,362 


1,690.9 


51,333 


426.8 






-4.4 


■5.0 


-3.7 


-4.4 


+ 9 


+ .1 


-2,8 


-3.5 


-11 


-18 


+23,2 


+22.2 







53 



Table 4. — Index of Crime: Region, Geographic Division, and State, 1987-1988 — Continued 



Area 



Year 



Population' 



Cnme Index total 



Number 



Rate per 
100,000 



Modified Cnme 
Index total- 



Number 



Rate per 
100.000 



Violent crime' 



Number 



Rate per 
100,000 



Property crime' 



Number 



Rale per 
100,000 



Murder and non- 
negligent manslaughter 



Number 



Midwest* 



Percent change 
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 Dakota 

Percent change 
South Dakota ... 



1987 
1988 



1987 



1987 
1988 



1987 
1988 



1987 
1988 



1987 
1988 



1987 



1987 



1987 



1987 



1987 



1987 



1987 
1988 



1987 
1988 



1987 
1988 



Percent change 

See footnotes at end of table. 



59,538,000 
59,894,000 



41.904,000 
42,149,000 



2,921,901 
2,918,559 

-.1 

2,143,057 
2,144,077 



11,582,000 
11,544,000 



5,531,000 
5,575,000 



9,200,000 
9,300,000 



10,784,000 
10.872.000 



4.807,000 
4.858,000 



627,342 
648,873 

-1-3.4 
227,864 
231,364 

-H.5 
594,026 
565,847 
■4.7 
493.400 
505,034 

-1-2.4 

200.425 

192,959 

-3.7 



4,907.6 
4,872.9 

-.7 

5,114.2 

5,086.9 

-.5 

5.416.5 

5,620.9 

-1-3.8 

4,119.8 

4,150.0 

-I-.7 

6,456.8 

6.084.4 

■5.8 

4.575.3 

4,645.3 

-H.5 

4,169.4 

3,972.0 

■4.7 



17.634.000 
17.745,000 



2,834,000 
2,834,000 



2,476,000 
2,487,000 



778,844 
774,482 
-.6 
117,334 
115,533 
•1.5 
121,420 
121,363 



4,246,000 
4,306,000 



5,103,000 
5,139.000 



1,594,000 
1,601,000 



672,000 
663,000 



709,000 
715,000 



195,986 

185,792 

-5.2 

240,222 

248,971 

+3.6 

65,857 

66,282 

+.6 

19.038 

18,087 

-5.0 

18,987 

18,454 

■2.8 



4.416,7 
4.364.5 

-1.2 
4.140.2 
4,076.7 

■1.5 
4,903.9 
4.879.9 
-.5 
4,615.8 
4,314,7 

■6.5 
4,707.5 
4,844.7 
4-2.9 
4,131.6 
4,140.0 

■I-.2 
2,833.0 
2.728.1 

■3.7 
2,678.0 
2.581.0 

■3,6 



300,237 
306,106 

+2.0 

239.607 

243,282 

+ 1.5 

92,216 

93,557 

+ 1.5 

18,169 

21,187 

+ 16.6 

71,772 

68,980 

■3.9 

45,436 

49,144 

+8.2 

12,014 

10,414 

■13.3 



504.3 
511.1 

+ 1.3 
571.8 
577.2 
+.9 
796.2 
810.4 

+ 1.8 
328.5 
3800 
+ 15.7 
7801 
741,7 
■4.9 
421.3 
452.0 

+7.3 
249.9 
214.4 
■14.2 



2,621,664 
2,612,453 

-.4 

1,903,450 

1,900.795 

■.1 

535,126 

555,316 

+3.8 

209,695 

210.177 

+.2 

522,254 

496.867 

■4.9 

447.964 

455,890 

+ 1.8 

18S.411 

182,545 

■3.1 



4,403.3 
4,361.8 

-.9 

4,542.4 

4,509.7 

-.7 

4,620.3 

4,810.4 

+4.1 

3,791,3 

3,770,0 

-.6 

5,676.7 

5,342.7 

-5.9 

4,154.0 

4,193.2 

+.9 

3,919.5 

3,757.6 

■4,1 



60.630 

62.824 

+3.6 

6.553 

7,279 

+ 11.1 

8,932 

9,083 

+ 1.7 

12.118 

12,490 

+3.1 

27,792 

28.393 

+2.2 

4,004 

4.374 

+9.2 

382 

392 

+2.6 

849 

813 

■4.2 



343.8 
354.0 
+3.0 
231.2 
256.8 
+ 11,1 
360,7 
365.2 
+ 1.2 
285.4 
2901 
+ 1.6 
544.6 
552.5 
+ 1.5 
251.2 
273.2 
+8.8 
56.8 
59.1 
+4.0 
119.7 
113.7 
-5.0 



718.214 

711.658 

■9 

110,781 

108,254 

■2.3 

112.488 

112.280 

-.2 

183,868 

173,302 

■5.7 

212,430 

220,578 

+3,8 

61,853 

61,908 

+.1 

18.656 

17.695 

-5.2 

18.138 

17.641 

-2.7 



4.072.9 
4,010.5 

■1.5 
3,909.0 
3.819.8 

■2.3 
4.543.1 
4,514.7 
-.6 
4,330.4 
4.024.7 

■7.1 
4,162.8 
4,292.2 
+3.1 
3,880.4 
3,866.8 
■.4 
2,776,2 
2,668.9 

■3.9 
2,558.3 
2.467.3 

-3.6 



3,978 
3,848 

-3.3 

3.196 

3,087 

-3,4 

967 

991 

+2,5 

307 

358 

+ 16.6 

1,124 

1,009 

-10.2 

630 

585 

-7.1 

168 

144 

-14.3 



782 

761 

-2.7 

59 

47 

-20.3 

110 

85 

-22.7 

112 

124 

+ 10.7 

423 

413 

■2.4 

55 

58 

+5.5 

10 

12 

+20.0 

13 

22 

+69.2 



54 



Tile 4. — Index of Crime: Region, Geographic Division, and State, 1987-1988 — Continued 



Forcible rape 


Robbery 


,^ggravated 
assaull 


Burglar\' 


Larcen 


-theft 


Motor vehicle theft 


Arson^ 


• Jumber 


Rate per 
100.000 


Number 


Rate per 
100.000 


Number 


Rate per 
100.000 


Number 


Rate per 
100,000 


Number 


Rale per 
100.000 


Number 


Rate per 
100.000 


Number 


Rate per 
100.000 


22,106 


37.1 


103,128 


173.2 


171,025 


287.3 


647,839 


1,088,1 


1,720,150 


2,889.2 


253,675 


426.1 






22,957 


38J 


101,312 


169.2 


177.989 


297.2 


622,396 


1,039.2 


1,723,021 


2,876.8 


267,036 


445.8 






+3.8 


+3.2 


-1.8 


-2.3 


+4.1 


+3.4 


-3.9 


-1.5 


+.2 


-.4 


+5.3 


+4.6 






l\495 


41,8 


86,452 


206.3 


132,464 


316.1 


471,194 


1.124.5 


1.227,835 


2.9301 


204.421 


487.8 






18,239 


43.3 


84,288 


200.0 


137,668 


326.6 


452,236 


1.072.9 


1,233,577 


2,926.7 


214.982 


5101 






+4.3 


+3.6 


-2.5 


-3.1 


+ 3,9 


+3.3 


-4.0 


-4.6 


+.5 


-.1 


+5.2 


+4.6 






4,443 


38.4 


36,406 


314.3 


50.400 


435.2 


130,147 


1,123.7 


342.492 


2,957.1 


62,487 


539.5 






4,449 


38.5 


36,097 


312.7 


52,020 


450.6 


130,292 


1,128.7 


355,148 


3.076.5 


69,876 


605.3 






+.1 


+.3 


-,8 


-.5 


+3,2 


+3.5 


+.1 


+.4 


+3.7 


+4,0 


+ 11.8 


+ 12.2 






, 1.609 


29.1 


4.901 


88.6 


11.352 


205.2 


52,363 


946.7 


137,722 


2,490,0 


19,610 


354.5 






1.731 


31.0 


4,963 


89.0 


14,135 


253.5 


52,137 


935.2 


138,335 


2,481.3 


19,705 


353.5 






+7.6 


+6.5 


+ 1,3 


+.5 


+24.5 


+23.5 


-.4 


-1.2 


+.4 


-.3 


+.5 


-.3 






6.184 


67.2 


25,442 


276.5 


39.022 


424.2 


133,602 


1.452.2 


319,470 


3,472.5 


69.182 


752.0 






6,462 


69.5 


22,424 


241.1 


39.085 


420.3 


122,254 


1.314.6 


305,693 


3,287.0 


68,920 


741.1 






+4.5 


+3,4 


-11,9 


-12,8 


+.2 


-.9 


-8.5 


-9.5 


•4,3 


-5.3 


-.4 


-1.4 






4,305 


39.9 


16,511 


153,1 


23,990 


222.5 


114.580 


1.062.5 


292,093 


2.708.6 


41,291 


382.9 






4,632 


42.6 


17,546 


161.4 


26,381 


242.7 


112,130 


1.031,4 


.300,355 


2.762.6 


43,405 


399.2 






+7.6 


+6.8 


+6.3 


+ 5.4 


+ 10,0 


+9.1 


-2.1 


-2.9 


+2.8 


+2.0 


+5.1 


+4.3 






954 


19.8 


3.192 


66.4 


7,700 


160.2 


40,502 


842,6 


136,058 


2.830.4 


11.851 


246.5 






965 


19.9 


3,258 


67,1 


6,047 


124.5 


35,423 


729.2 


134,046 


2.759.3 


13,076 


269.2 






+ 1.2 


+,5 


+2.1 


+ 1,1 


-21,5 


-22.3 


-12.5 


-13.5 


-1.5 


-2.5 


+ 10.3 


+9.2 






4.611 


26,1 


16,676 


94,6 


38.561 


218.7 


1 76,645 


1.001,7 


492.315 


2,791,9 


49,254 


279,3 






4,718 


26.6 


17.024 


95-9 


40.321 


227.2 


170,160 


958.9 


489,444 


2,758,2 


52,054 


293.3 






+2.3 


+ 1.9 


+2.1 


+ 1,4 


+4,6 


+3.9 


-3.7 


-4.3 


-6 


-1.2 


+5.7 


+5.0 






337 


11,9 


1.025 


36.2 


5,132 


181.1 


26,010 


917.8 


80,489 


2.840,1 


4.282 


151.1 






446 


15,7 


1.132 


39.9 


5.654 


199.5 


24,211 


854.3 


79.447 


2,803.4 


4,596 


162.2 






+32.3 


+31,9 


+ 10.4 


+ 102 


+ 102 


+ 10.2 


-6.9 


-6.9 


-1.3 


■1.3 


+7.3 


+7.3 






808 


32.6 


2.032 


82,1 


5.982 


241.6 


28,177 


1.138.0 


78.043 


3.152.0 


6.268 


253.2 






779 


31.3 


2.136 


85,9 


6.083 


244.6 


29,321 


1.179.0 


76,927 


3.093.2 


6.032 


242.5 






-3,6 


-4.0 


+5.1 


+4.6 


+ 1.7 


+ 1.2 


+4.1 


+3.6 


-1.4 


-1.9 


-3.8 


-4.2 






1,439 


33.9 


4.354 


102.5 


6.213 


146.3 


45.384 


1,068.9 


125.686 


2,960.1 


12,798 


301.4 






1.337 


31.0 


4,079 


94,7 


6.950 


161.4 


39,167 


909,6 


119,526 


2.775.8 


14,609 


339.3 






-7.1 


-8.6 


-6.3 


-7,6 


+ 11,9 


+ 10.3 


-13.7 


-14.9 


-4.9 


-6,2 


+ 14.2 


+ 12.6 






1,473 


28.9 


8.376 


164.1 


17.520 


343.3 


56.711 


1.111.3 


133,964 


2,625.2 


21,755 


426.3 






1,505 


29.3 


8,638 


168.1 


17,837 


347.1 


58,605 


1,140.4 


139,648 


2.717.4 


22,325 


434.4 






+2.2 


+ 1.4 


+3.1 


+2,4 


+ 1.8 


+ 1.1 


+3.3 


+2.6 


+4.2 


+3.5 


+2.6 


+ 1.9 






345 


21.6 


751 


47,1 


2,853 


179.0 


13,516 


847.9 


45.692 


2.866.5 


2.645 


165.9 






385 


24.0 


898 


56,1 


3,033 


189.4 


12,251 


765.2 


46,634 


2.912.8 


3.023 


188.8 






+ 11.6 


+ 11.1 


+ 19,6 


+ 19,1 


+6,3 


+5.8 


-9.4 


-9.8 


+2.1 


+ 1.6 


+ 14.3 


+ 13.8 






63 


9.4 


51 


7.6 


258 


38.4 


3,060 


455.4 


14.768 


2.197.6 


828 


123.2 






74 


11.2 


54 


8.1 


252 


38.0 


2,902 


437.7 


14,007 


2,112.7 


786 


118.6 






+ 17.5 


+ 19.1 


+5.9 


+6.6 


-2.3 


-1,0 


-5.2 


-3.9 


-5.2 


-3.9 


-5.1 


-3.7 






146 


20.6 


87 


12,3 


603 


85.0 


3,787 


534.1 


13.673 


1,928.5 


678 


95.6 






192 


26.9 


87 


12,2 


512 


71.6 


3,703 


517.9 


13,255 


1,853.8 


683 


95.5 






+31.5 


+30.6 




-,8 


-15,1 


-15.8 


-2.2 


-3.0 


-3.1 


-3.9 


+.7 


-.1 











55 



Table 4. — Index of Crime: Region, Geographic Division, and State, 1987-1988 — Continued 



Year 



Population' 



Crime Index total 



Number 



Rate per 
100,000 



Modified Crime 
Index total- 



Number 



Rate per 
100.000 



Violent crime' 



lumber 



Rate per 
100,000 



Property crime' 



Number 



Rale per 
100,000 



Murder and non- 
negligent manslaughter 



Number 



South' 



Percent change 

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 



Percent change 

See footnotes at end of table. 



1987 
1988 



1987 



1987 
1988 



1987 
1988 



1987 
1988 



1987 
1988 



1987 
1988 



1987 
1988 



1987 
1988 



1987 



1987 



1987 



1987 
1988 



1987 
1988 



1987 
1988 



1987 



1987 



1987 
1988 



1987 
1988 



1987 
1988 



1987 



83,884,000 
84,878,000 



41,684,000 
42,601,000 



644,000 
660,000 



622,000 
620,000 



12,023,000 
12,377,000 



6,222,000 
6,401,000 



4,535,000 
4,644,000 



6,413,000 
6,526,000 



3,425.000 
3,493,000 



5,904,000 
5,996,000 



1,897,000 
1,884,000 



4,943,277 

5,171,931 

■F4.6 

2.465,814 

2,668,223 

+8.2 

31.806 

31,674 

-.4 

52,569 

61,471 

-H6.9 

1.022,335 

1,106,212 

-I-8.2 

360.379 

404.965 

+ 12.4 

248,409 

264,923 

+6.6 

298.196 

317,310 

+6,4 

176,794 

189.053 

+6.9 

233,768 

250,436 

+7.1 

41.558 

42,179 

+ 1.5 



5,893.0 
6,093,4 

+3,4 
5.915.5 
6,263.3 

+5.9 
4,938.8 
4,799.1 
-2,8 
8,451.6 
9,914.7 
+ 17.3 
8,503.2 
8,937,6 

+5,1 
5,792.0 
6,326.6 

+9.2 
5,477.6 
5.704.6 

+4.1 
4.549.9 
4,862.2 

+4.6 
5,161.9 
5.412.3 

+4.9 
3,959.5 
4,176.7 

+5.5 
2,190.7 
2,238.8 

+2.2 



15,290,000 
15,393,000 



4,083,000 
4,127,000 



3,727,000 
3,721,000 



2,625,000 
2,627,000 



4,855,000 
4,919,000 



620,403 

619,143 

-0.2 

181,751 

188,261 

+3.6 

121,873 

116,646 

-4.3 

90,263 

94,384 

+4.6 

226,516 

219,852 

-2.9 



4.057.6 
4,022.2 
-0.9 
4,451,4 
4,561.7 

+2.5 
3,270.0 
3,134.8 
-4.1 
3,438.6 
3,592.8 

+4.5 

4,665.6 

4,469.4 

-4.2 



26.910.000 
26,884,000 



2,388,000 
2,422,000 



4,461,000 
4,420,000 



3,272,000 
3,263,000 



16,789,000 
16,780,000 



1.857,060 

1,884,565 

+ 1.5 

101,376 

102,199 

+.8 

262,006 

254,624 

-2.8 

197.159 

182.373 

-7.5 

1.296,519 

1,345,369 

+3.8 



6.901.0 
7.010.0 

+ 1.6 

4.245.2 

4,219.6 

-.6 

5,873.3 

5,760.7 

-1.9 

6.025.6 

5.589.1 

-7.2 

7,722.4 

8,017,7 

+3.8 



509,260 
548,062 

+7.6 

280,477 

312,351 

+ 11.4 

2,774 

2,981 

+7.5 

10.016 

11,914 

+ 18.9 

123,168 

138,343 

+12.3 

35.868 

42,589 

+ 18.7 

34,820 

37,466 

+7.6 

31,039 

32,753 

+5.5 

22,773 

25,889 

+ 13.7 

17,414 

17,940 

+3.0 

2.605 

2,476 

■5.0 



607,1 
645.7 
+6,4 

672.9 
733.2 

+9,0 
430.7 
451.7 

+4.9 
1,610.3 
1,921.6 
+ 19.3 
1,024.4 
1,117.7 

+9.1 
576.5 
665.3 
+ 15.4 
767,8 
806.8 

+5.1 
484.0 
501.9 

+3.7 
664.9 
741.2 
+ 11.5 
295.0 
299.2 

+ 1.4 

137.3 

131.4 

-4.3 



4,434,017 

4,623,869 

+4,3 

2,185,337 

2,355,872 

+7.8 

29.032 

28,693 

-1.2 

42,553 

49,557 

+ 16.5 

899,167 

967,869 

+7.6 

324,511 

362,376 

+ 11.7 

213,589 

227,457 

+6.5 

267.157 

284,557 

+6.5 

154,021 

163,164 

+5.9 

216.354 

232.496 

+7.5 

38.953 

39.703 

+ 1.9 



5,285.9 

5,447.7 

+3.1 
5,242.6 
5,530.1 

+5.5 
4,508.1 
4,347.4 
-3.6 
6,841.3 
7,993.1 
+ 16.8 
7.478.7 
7.819.9 

+4.6 
5.215.5 
5,661.2 

+8.5 
4.709.8 
4,897.9 

+4.0 
4,165.9 
4.360.4 

+4.7 
4.497.0 
4,671.2 

+3.9 
3,664.5 
3,877.5 

+5.8 
2.053.4 
2.107.4 

+2.6 



68.403 
70,085 

+2.5 
22.833 
23,052 

+ 1.0 

12,589 

12,284 

-2.4 

7,081 

8,544 
+20.7 
25,900 
26,205 

+ 1.2 



447.4 
455.3 
+ 1.8 
559.2 
558,6 

-.1 
337.8 
330.1 
-2.3 
269.8 
325.2 
+20.5 
533.5 
532.7 

-.1 



552,000 

549,058 

-0.5 

158,918 

165,209 

+4.0 

109,284 

104,362 

-4.5 

83,182 

85,840 

+3.2 

200,616 

193,647 

-3.5 



3,6102 
3,566,9 
-1.2 
3,892,2 
4,003.1 

+2.8 
2,932.2 
2.804.7 
-4.3 
3.168.8 
3.267.6 

+3.1 

4.132.2 

3.936.7 

■4.7 



160.380 

165,626 

+3.3 

9,839 

10,237 

+4,0 

30,916 

31,711 

+2,6 

13,664 

14,179 

+3.8 

105,961 

109,499 

+3.3 



596.0 
616.1 

+3.4 
412.0 
422.7 

+2.6 
693.0 
717.4 

+3.5 
417.6 
434.5 

+4.0 
631.1 
652.6 

+3.4 



1.696,680 

1,718,939 

+ 1.3 

91,537 

91,962 

+.5 

231,090 

222,913 

■3.5 

183,495 

168,194 

-8.3 

1.190,558 

1,235,870 

+3,8 



6,305.0 
6.393.9 

+ 1.4 

3,833.2 

3,796,9 

-,9 

5,180,2 

5,043.3 

-2.6 

5.608.0 

5.154.6 

-8.1 

7.091.3 

7.365,1 

+3.9 



8,420 

8,723 
+3.6 

4,166 

4,412 

+5.9 

33 

34 

+3.0 

225 

369 

+64.0 

1,371 

1,416 

+3.3 

735 

748 

+ 1.8 

436 

449 

+3.0 

519 

510 

-1.7 

318 

325 

+2.2 

437 

468 

+7.1 

92 

93 

+ 1.1 



1.373 

1.323 
■3.6 
380 
408 

+7.4 
280 
229 

■18.2 
269 
225 

•16.4 
444 
461 

+3.8 



2,881 

2,988 

+3.7 

182 

211 

+ 15.9 

496 

512 

+3.2 

244 

243 

-.4 

1,959 

2,022 

+3.2 



56 



tble 4. — Index of Crime: Region, Geograpliic Division, and State, 1987-1988 — Continued 



1 Forcible rape 


Robbery 


Aggravated 
assault 


Burglarv 


Larceny-lheft 


Motor vehicle theft 


Arson- 


1 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 


Rate per 
100,000 


32,958 


39.3 


160,979 


191.9 


306,903 


365.9 


1,312.800 


1,565.0 


2,716.333 


3,238.2 


404.884 


482.7 






33,847 


39.9 


177,004 


208.5 


328,488 


387.0 


1,343,900 


1,583.3 


2,833.338 


3,338.1 


446,631 


526.2 






+2.7 


+1.5 


+10.0 


+8.7 


+7,0 


+5.8 


+2.4 


+ 1.2 


+4.3 


+3,1 


+10.3 


+9,0 






1(1.520 


39.6 


90.619 


217.4 


169,172 


405.8 


631.019 


1,513.8 


1,365.577 


3,276.0 


188,741 


452,8 






16.802 


39.4 


104,811 


246.0 


186,326 


437.4 


661.806 


1.553.5 


1.473.911 


3.459.8 


220.155 


516.8 






+ 1.7 


-0.5 


+ 15.7 


+ 13.2 


+ 10,1 


+7,8 


+4,9 


+2.6 


+7.9 


+5.6 


+ 16.6 


+ 14.1 






441 


68.5 


789 


122.5 


1.511 


234.6 


6,572 


1,020.5 


20,453 


3,175.9 


2,007 


311.6 






491 


74.4 


784 


118.8 


1,672 


253.3 


6,868 


1.040.6 


19.824 


3.003.6 


2,001 


303.2 






+ 11.3 


+8.6 


-.6 


-3.0 


+ 10.7 


+8.0 


+4.5 


+2.0 


■3.1 


-5.4 


-.3 


-2.7 






245 


39.4 


4,462 


717.4 


5,084 


817.4 


11,244 


1,807,7 


25.012 


4,021,2 


6.297 


1.012.4 






165 


26.6 


5.690 


917.7 


5,690 


917.7 


12,300 


1,983.9 


28,624 


4,616.8 


8,633 


1,392.4 






■32.7 


-32.5 


+27.5 


+27.9 


+ 11.9 


+ 12.3 


+9,4 


+9.7 


+ 14.4 


+ 14.8 


+37.1 


+37.5 






0.032 


50.2 


42,869 


356.6 


72,896 


606.3 


271.346 


2.256,9 


546,466 


4,545.2 


81.355 


676.7 






0.154 


49.7 


49,916 


403.3 


80,857 


653.3 


283,960 


2,294.3 


589,215 


4,760.6 


94,694 


765.1 






+2.0 


-1.0 


+ 16.4 


+ 13.1 


+ 10.9 


+7.8 


+4,6 


+ 1,7 


+7.8 


+4.7 


+ 16.4 


+ 13.1 






2,681 


43.1 


13,014 


209.2 


19,438 


312.4 


96,572 


1.552,1 


197,302 


3,171.0 


30,637 


492.4 






2,970 


46.4 


15.593 


243.6 


23,278 


363.7 


103,106 


1.610.8 


223.768 


3,495,8 


35.502 


554.6 






+ 10.8 


+7.7 


+ 19.8 


+ 16.4 


+ 19.8 


+ 16.4 


+6.8 


+3.8 


+ 134 


+ 10,2 


+ 15.9 


+ 12.6 






1,795 


39.6 


13.164 


290.3 


19,425 


428.3 


52,718 


1,162.5 


134.485 


2,965.5 


26.386 


581.8 






1,721 


37.1 


13,994 


301.3 


21.302 


458.7 


54,735 


1,178.6 


141,509 


3,047,1 


31.213 


672.1 






-4.1 


-6.3 


+6.3 


+3.8 


+9.7 


+7.1 


+3.8 


+ 1.4 


+5.2 


+2,8 


+ 18.3 


+ 15.5 






1,863 


29.1 


6.023 


93.9 


22,634 


352.9 


86,964 


1,356,1 


165,841 


2.586,0 


14.352 


223.8 






1,833 


28.1 


7,085 


108.6 


23,325 


357.4 


90,791 


1.391,2 


177.426 


2,718,8 


16.340 


250.4 






-1.6 


-3.4 


+ 17.6 


+ 15.7 


+3.1 


+ 1.3 


+4.4 


+2,6 


+7.0 


+5.1 


+ 13,9 


+ 11.9 






1,497 


43.7 


3,463 


101.1 


17,495 


510,8 


46.511 


1,358.0 


97.892 


2,858.2 


9,618 


280.8 






1,493 


42.7 


4,357 


124.7 


19,714 


564.4 


49.467 


1.416.2 


103.055 


2,950.3 


10.642 


304.7 






-.3 


-2.3 


+25.8 


+23.3 


+ 12.7 


+ 10.5 


+6.4 


+4.3 


+5.3 


+ 3,2 


+ 10.6 


+8.5 






1,537 


26.0 


6,244 


105.8 


9,196 


155.8 


47,642 


806.9 


153,690 


2,603.2 


15,022 


254.4 






1,622 


27.1 


6,748 


112.5 


9,102 


151.8 


49,069 


8184 


165.343 


2,757.6 


18,084 


301.6 






+5.5 


+4.2 


+8.1 


+6.3 


-1.0 


■2.6 


+3,0 


+ 1.4 


+7.6 


+ 5,9 


+20.4 


+ 18.6 






429 


22.6 


591 


31.2 


1,493 


78,7 


11.450 


603,6 


24.436 


1,288,1 


3,067 


161.7 






353 


18.7 


644 


34.2 


1.386 


73,6 


11.510 


610,9 


25.147 


1,334.8 


3,046 


161.7 






■17,7 


-17,3 


+9,0 


+9,6 


■7,2 


-6,5 


+.5 


+ 1,2 


+2.9 


+3.6 


-,7 








4,818 


31.5 


18.847 


123.3 


43,365 


283.6 


177,667 


1.162.0 


324.684 


2.123,5 


49.649 


324.7 






5,215 


33.9 


18,189 


118.2 


45,358 


294.7 


176,212 


1.144.8 


323.863 


2.104,0 


48.983 


318.2 






+8.2 


+7.6 


-3.5 


-4.1 


+4.6 


+3.9 


-0.8 


-1,5 


■0,3 


-0.9 


-1.3 


-2.0 






1,137 


27.8 


4.581 


112.2 


16.735 


409.9 


48,927 


1,198.3 


99.260 


2,431,1 


10.731 


262.8 






1,228 


29.8 


4,860 


117.8 


16,556 


401.2 


50,920 


1,233.8 


103.282 


2,502.6 


11,007 


266.7 






+8.0 


+7.2 


+6.1 


+5.0 


■1.1 


■2.1 


+4,1 


+3.0 


+4.1 


+2.9 


+2.6 


+ 1.5 






781 


21.0 


3,361 


90.2 


8,167 


219.1 


31,571 


847.1 


70,532 


1.892,5 


7,181 


192.7 






835 


22.4 


2,764 


74.3 


8,456 


227.3 


30,747 


826,3 


66,711 


1,792.8 


6,904 


185.5 






+6.9 


+6.7 


-17.8 


-17,6 


+3.5 


+3.7 


-2,6 


■2,5 


■5,4 


■5.3 


-3,9 


-3.7 






767 


29.2 


1.496 


57.0 


4,549 


173.3 


31,537 


1,201,4 


47,433 


1,807.0 


4,212 


160.5 






951 


36.2 


2,028 


77.2 


5.340 


203.3 


33,651 


1,281.0 


47,818 


1,820.3 


4,371 


166.4 






+24.0 


+24.0 


+35.6 


+35.4 


+ 17.4 


+ 17.3 


+6.7 


+6.6 


+.8 


+.7 


+3.8 


+3.7 






2,133 


43.9 


9,409 


193.8 


13.914 


286.6 


65.632 


1.351.8 


107.459 


2,213.4 


27.525 


566.9 






2,201 


44.7 


8.537 


173.6 


15,006 


305.1 


60,894 


1,237.9 


106.052 


2.156.0 


26,701 


542.8 






+3.2 


+ 1.8 


■9.3 


•10,4 


+7,8 


+6.5 


-7.2 


■8,4 


■1,3 


-2.6 


•3.0 


-4,3 






11,620 


43.2 


51,513 


191.4 


94,366 


350.7 


504.114 


1,873.3 


1,026,072 


3,813.0 


166.494 


618.7 






11,830 


44.0 


54,004 


200.9 


96,804 


360.1 


505,882 


1,881.7 


1.035,564 


3,852.0 


177,493 


660.2 






+ 1.8 


+ 1.9 


+4.8 


+5.0 


+2.6 


+2.7 


+.4 


+.4 


+.9 


+ 1,0 


+6,6 


+6,7 






779 


32.6 


1.890 


79.1 


6,988 


292.6 


25.743 


1,078.0 


60.862 


2.548,7 


4.932 


206.5 






780 


32.2 


2,037 


84.1 


7,209 


297.6 


26,443 


1,091,8 


60.363 


2,492.3 


5,156 


212.9 






! +.1 


-1.2 


+7.8 


+6.3 


+3.2 


+ 1.7 


+2.7 


+ 1.3 


-.8 


■2.2 


+4.5 


+3.1 






1,600 


35.9 


7,987 


179.0 


20.833 


467.0 


64,441 


1,444.5 


148,247 


3.323.2 


18,402 


412.5 






1,702 


38.5 


9,238 


209.0 


20,259 


458.3 


63,843 


1.444,4 


139,141 


3,148.0 


19,929 


450.9 






+6.4 


+7.2 


+ 15.7 


+ 16.8 


-2.8 


-1.9 


-.9 




-6.1 


■5.3 


+8.3 


+9.3 






1,173 


35.8 


3.583 


109,5 


8.664 


264.8 


58,333 


1.782.8 


105.369 


3.220.3 


19.793 


604.9 






1,229 


37.7 


3,428 


105,1 


9,279 


284.4 


53,624 


1,643.4 


96,418 


2,954.9 


18.152 


556.3 






+4.8 


+5.3 


-4.3 


-4,0 


+7.1 


+7.4 


-8.1 


■7,8 


-8,5 


-8.2 


-8.3 


-8.0 






8,068 


48.1 


38,053 


226.7 


57,881 


344.8 


355,597 


2.118,0 


711,594 


4.238.5 


123,367 


734,8 






8,119 


48.4 


39.301 


234.2 


60,057 


357,9 


361.972 


2.157.2 


739.642 


4.407.9 


134.256 


800,1 






+,6 


+,6 


+3.3 


+3,3 


+ 3,8 


+ 3.8 


+ 1,8 


+ 1.9 


+3,9 


+4.0 


+8,8 


+8,9 



































57 



Table 4. — Index of Crime: Region, Geographic Division, and State, 1987-1988 — Continued 



Area 



Year 



Populalion' 



Crime Index total 



Number 



Rate 
100 



per 
.000 



Modified Cnme 
Index total- 



Number 



Rate per 
100,000 



Violent crime^ 



Number 



Rate per 
100.000 



Property crime' 



Number 



Rate per 
100.000 



Murder and non- 
negligenl mansiaught" 



Number 



West 



Percent change 
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 



1987 
1988 



1987 
1988 



1987 



1987 



1987 



1987 



1987 



1987 



1987 



1987 



1987 



1987 



1987 
1988 



1987 



1987 



1987 



1987 
1988 



49,700,000 
50,424,000 



13,167.000 
13,289.000 



3,386,000 
3,466.000 



3.296.000 
3,290.000 



998.000 
999.000 



809.000 
804.000 



1.007.000 
1.060.000 



1,500,000 
1,510,000 



1,680.000 
1.691,000 



490,000 
471,000 



3,210,618 
3,299,225 

+2.8 

811,236 

817,395 

+.8 

243,405 

258,955 

+6.4 

212,634 

203,267 

■4.4 

41,480 

39,690 

■4.3 

37,209 

34,307 

-7.8 

64,160 

68,403 

+6.6 

98,202 

99,755 

+ 1.6 

94,393 

94,333 

■-1 

19,753 

18.685 

-5.4 



6,460.0 
6,543.0 

+ 1.3 
6,161.1 
6,150.9 
■2 
7,188,6 
7,471.3 
+3.9 
6,451.3 
6,178,3 

-4.2 
4.156.3 
3.973.0 

-4.4 
4,599.4 
4,267.0 

-7,2 
6,371,4 
6,453.1 
+ 1.3 
6.546.8 
6.606.3 

+.9 
5.618.6 
5.578.5 
-.7 
4,031.2 
3,967.1 

-1.6 



36.533.000 
37,135,000 



525,000 
513,000 



27,663,000 
28,168,000 



1,083,000 
1,093,000 



2,724.000 
2.741.000 



4.538,000 
4,619,000 



.399,382 

,481.830 

+3.4 

28,232 

25,248 

-10.6 

.799,871 

,869.092 

+3.8 

63.008 

65.460 

+3.9 

189.835 

193.479 

+ 1.9 

318.436 

328.551 

+3.2 



6,567.7 
6,683.3 

+ 1.8 
5.377,5 
4.921.6 
-8.5 
6,506.4 
6,635.5 

+2.0 
5,817.9 
5,989.0 

+2.9 
6.969.0 
7.058.7 

+ 1.3 
7.017.1 
7.113.0 

+ 1.4 



3.279.000 
3,338.000 



110,144 
111,051 

+.8 



3.358.8 

3,327.1 

-.9 



355,020 

367,737 

+3.6 

61,193 

63,831 

+4.3 

20,742 

21,147 

+2.0 

15,409 

15,548 

+.9 

2.138 

2,345 

+9,7 

1,223 

989 

-19.1 

7.006 

8,275 

+ 18.1 

9,427 

9,938 

+5.4 

3.861 

4,110 

+6.4 

1,387 

1,479 

+6.6 



714.3 
729.3 

+2.1 
464.7 
480.3 

+3.4 
612.6 
6101 
-.4 
467,5 
472.6 

+ 1,1 
214,2 
234.7 

+9.6 
151.2 
123.0 

•18.7 
695,7 
780.7 
+ 12.2 
628.5 
658.1 

+4.7 
229.8 
243.1 

+5.8 
283.1 
314.0 
+ 109 



2,855,598 
2,931,488 

+2.7 

750,043 

753,564 

+,5 

222,663 

237,808 

+6.8 

197,225 

187,719 

-4,8 

39,342 

37,345 

-5.1 

35,986 

33,318 

-7.4 

57,154 

60,128 

+5.2 

88.775 

89,817 

+ 1,2 

90,532 

90,223 

-,3 

18,366 

17,206 

-6.3 



5,7457 

5,8137 

+ 1,2 

5,696.4 

5.6706 

-.5 

6.576.0 

6.861.2 

+4.3 

5.983.8 

5,705.7 

-4.6 
3.942.1 
3.738.2 

-5.2 
4.448.2 
4.144.0 

■6.8 
5,675,7 
5,672,5 
-.1 
5,918,3 
5,948.1 

+.5 
5,388.8 
5,335.5 

■1,0 
3,748,2 
3.653,1 

■2.5 



293.827 

303,906 

+3.4 

2,391 

2,682 

+ 12.2 

253.943 

261,912 

+3.1 

2.851 

2.810 

■1.4 

14.697 

14.959 

+ 1.8 

19.945 

21.543 

+80 



804.3 
818,4 

+ 1.8 
455.4 
522,8 
+ 14,8 
918.0 
929.8 

+ 1.3 
263.3 
257.1 
■2.4 
539.5 
545.7 

+ 1.1 
439.5 
466,4 

+6.1 



2.105,555 

2,177,924 

+3,4 

25,841 

22,566 

-12,7 

1,545,928 

1,607,180 

+4,0 

60,157 

62,650 

+4,1 

175,138 

178,520 

+ 1.9 

298,491 

307,008 

+2,9 



5,763.4 
5,864.9 

+ 1.8 
4.922.1 
4.398.8 

-10.6 
5.588.4 
5,705,7 

+2,1 
5.554.7 
5.731.9 

+3.2 
6,429,4 
6,513,0 

+ 1.3 
6,577.6 
6.646.6 

+ 1.0 



23,550 
22,259 

-5.5 



718.2 
666.9 

-7,1 



86,594 
88,792 

+2,5 



2,640,7 
2,660,2 

+,7 



'Populations are Bureau of the Census provisional estimates as of July 1, 1987 and 1988, and are subject to change. 

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

'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 incli dl 
for the properiy 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 n. 
UCR guidelines. The 1987 and 1988 forcible rape totals for Illinois were estimated using the national rate of forcible rapes when grouped by like agencies. See "Offense Estimation", paj;^ 
details, 

'Includes offenses reported by the Zoological Police. 

*Data for 1988 were not available for the States of Rorida and Kentucky; therefore, it was necessary that their crime counts be estimated. See "Offense Estimation", page 3 for df • 

'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 



' ble 4. — Index of Crime: Region, Geographic Division, and State, 1987- 


1988— Continued 












Forcible rape 


Robber>' 


Aggravated 
assault 


Burglary 


Larcenj 


-theft 


Motor vehicle theft 


Arson- 


Number 


Rate per 
100,000 


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 


21,322 


42.9 


1 10.936 


223.2 


218,514 


439.7 


757,189 


1.523.5 


1.784.415 


3.590.4 


313,994 


631.8 






20,955 


41.6 


113,475 


225.0 


229,014 


454.2 


736,482 


1.460.6 


1.836.634 


3.642.4 


358,372 


710.7 






-1.7 


-3.0 


+2.3 


+.8 


+4.8 


+3.3 


-2.7 


-4.1 


+2.9 


+ 1.4 


+14.1 


+ 12.5 






4,X62 


36.9 


14,395 


109.3 


41.126 


312.3 


184,622 


1.402.2 


518,169 


3.935,4 


47,252 


358,9 






4.802 


36.1 


14,014 


105.5 


44,134 


332.1 


176,738 


1.330.0 


526,968 


3,965.4 


49,858 


375,2 






•1.2 


-2,2 


-2.6 


-3.5 


+7.3 


+6.3 


-4.3 


-5.1 


+ 1,7 


+.8 


+5.5 


+4,5 






1,396 


41.2 


4.687 


138.4 


14,406 


425.5 


55,059 


1.626.1 


153,296 


4,527,3 


14,308 


422.6 






1,345 


38.8 


4,750 


137.0 


14.758 


425.8 


54,773 


1.580.3 


167,121 


4.821,7 


15,914 


459.1 






-3.7 


-5.8 


+ 1.3 


-1.0 


+2,4 


+.1 


-.5 


-2.8 


+9,0 


+6.5 


+ 11,2 


+8.6 






1,344 


40.8 


3,916 


118.8 


9.958 


302.1 


50,580 


1.534.6 


132,266 


4,012,9 


14.379 


436.3 






1,269 


38.6 


3,250 


98.8 


10.842 


329.5 


45.503 


1.383.1 


128.331 


3.900,6 


13.885 


422.0 






-5.6 


-5.4 


-17.0 


-16.8 


+8,9 


+9.1 


-10,0 


-9.9 


-3.0 


-2.8 


-3,4 


-3.3 






175 


17.5 


242 


24.2 


1,690 


169.3 


9,748 


976.8 


27,923 


2,797.9 


1,671 


167.4 






179 


17.9 


202 


20.2 


1,928 


193.0 


8,691 


870.0 


26,893 


2.692.0 


1,761 


176.3 






+2.i 


-1-2.3 


-16.5 


-16,5 


+ 14,1 


+ 14.0 


-10,8 


-10,9 


-3,7 


-3.8 


+5,4 


+5.3 






160 


19.8 


196 


24.2 


834 


103.1 


6,521 


806,1 


27,541 


3,404,3 


1,924 


237.8 






135 


16.8 


182 


22.6 


651 


81.0 


5,657 


703.6 


25,921 


3,224,0 


1,740 


216.4 






-15.6 


-15.2 


-7.1 


-6.6 


-21.9 


-21.4 


-13,2 


-12.7 


-5,9 


-5,3 


-9,6 


-9,0 






622 


61.8 


2,744 


272.5 


3,555 


353.0 


16,408 


1,629,4 


35,157 


3,491,3 


5,589 


555,0 






782 


73.8 


3,087 


291.2 


4,295 


405,2 


16,376 


1,544.9 


37,401 


3,528.4 


6,351 


599.2 






+25.7 


-H9.4 


+ 12.5 


+6.9 


+20.8 


+ 14.8 


.2 


-5.2 


+6.4 


+ 1.1 


+ 13,6 


+8.0 






646 


43.1 


1,625 


108.3 


7,004 


466.9 


26.815 


1,787.7 


56,777 


3,785,1 


5,183 


345,5 






580 


38.4 


1,557 


103.1 


7,628 


505.2 


27.737 


1,836,9 


56,192 


3,721,3 


5.888 


389,9 






-10.2 


-10.9 


-4.2 


-4.8 


+8.9 


+8.2 


+3.4 


+2,8 


-1,0 


-1.7 


+ 13.6 


+ 12,9 






365 


21.7 


887 


52.8 


2,554 


152.0 


15.975 


950.9 


71,038 


4,228.5 


3.519 


209,5 






399 


23.6 


915 


54.1 


2,749 


162.6 


14.898 


881.0 


71,677 


4.238,7 


3.648 


215.7 






+9.i 


-1-8.8 


+3.2 


+2.5 


+7,6 


+7.0 


-6.7 


-7,4 


+,9 


+,2 


+3.7 


+3.0 






154 


31.4 


98 


20.0 


1,125 


229.6 


3.516 


717.6 


14,171 


2,892.0 


679 


138.6 






113 


24.0 


71 


15.1 


1,283 


272.4 


3.103 


658.8 


13,432 


2,851.8 


671 


142.5 






-26.6 


-23.6 


-27.6 


-24.5 


+ 14.0 


+ 18.6 


-11,7 


-8.2 


-5,2 


-1.4 


-1.2 


+2.8 






16,460 


45.1 


96.541 


264.3 


177.388 


485,6 


572,567 


1.567.3 


1,266,246 


3.466,0 


266,742 


730.1 






16,153 


43.5 


99,461 


267.8 


184,880 


497.9 


559,744 


1,507,3 


1.309,666 


3,526.8 


308,514 


830.8 






-1,9 


-3.5 


+3.0 


+ 1.3 


+4,2 


+2.5 


-2.2 


-3,8 


+3.4 


+ 1,8 


+ 15.7 


+ 13.8 






341 


65.0 


384 


73.1 


1,613 


307.2 


5,093 


970.1 


18,195 


3,465.7 


2,553 


486.3 






296 


57.7 


374 


72.9 


1.983 


386.5 


4,321 


842.3 


15,911 


3,101,6 


2,3.34 


455.0 






-13.2 


-11.2 


-2.6 


-.3 


+22.9 


+25,8 


-15.2 


-13.2 


-12.6 


-10.5 


■8.6 


-6.4 






12,109 


43,8 


83.341 


301.3 


155.569 


562.4 


419,969 


1,518.2 


896,335 


3.240,2 


229,624 


830.1 






11,780 


41.8 


86,141 


305.8 


161,055 


571.8 


407,631 


1,447,1 


933,636 


3,314,5 


265,913 


944.0 






-2.7 


-4.6 


+3.4 


+ 1.5 


+3.5 


+ 1.7 


-2.9 


-4.7 


+4,2 


+2.3 


+ 15,8 


+ 13.7 






393 


36.3 


1,061 


98.0 


1.345 


124.2 


12.515 


1,155.6 


43,678 


4.033,1 


3,964 


366.0 






355 


32.5 


919 


84.1 


1.492 


136.5 


13,726 


1,255.8 


44,946 


4,112,2 


3,978 


364.0 






-9.7 


-10.5 


-13.4 


-14.2 


+ 10.9 


+9.9 


+9,7 


+8.7 


+2,9 


+2,0 


+,4 


-.5 






1,247 


45.8 


5.338 


196.0 


7.959 


292.2 


48,562 


1,782.7 


113,907 


4,181,6 


12.669 


465.1 






1.111 


40.5 


5,289 


193.0 


8,420 


307.2 


48,355 


1,764.1 


113,872 


4,154,4 


16.293 


594.4 






-10.9 


-11.6 


-.9 


-1.5 


+5.8 


+5.1 


-.4 


-1.0 




-,7 


+28,6 


+27.8 






2.370 


52.2 


6,417 


141,4 


10.902 


240.2 


86,428 


1,904.5 


194,131 


4.277.9 


17,932 


395.2 






2,611 


56.5 


6,738 


145.9 


11,930 


258.3 


85,711 


1.855.6 


201,301 


4.358,1 


19,996 


432.9 






-1-10.2 


+8-2 


+ 50 


+3.2 


+9.4 


+ 7.5 


-8 


-2,6 


+3.7 


+ 1,9 


+ 11,5 


+9.5 






490 


14.9 


14,506 


442.4 


8,055 


245.6 


35,505 


1.082.7 


32,671 


996.3 


18,418 


561.7 






427 


12.8 


12,760 


382.3 


8,479 


254.0 


36,041 


1,079.8 


34.392 


1,030.4 


18,359 


550.0 






-12.9 


-14.1 


-12.0 


-13.6 


+5.3 


+ 3.4 


+ 1.5 


.,3 


+ 5,3 


+ 3.4 


-3 


-2.1 







59 



Table 5.— Index of Crime, State, 1988 



Population 



Crime 
Index 
total 



Modified 
Crime 
Index 
total' 



Violent 
crime- 



Property 

crime' 



Murder 
and non- 
negligcnt 

man- 
slaughter 



Forcible 
rape 



Aggra- 
vated 
assault 



Burglary' 



Larceny- 
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 reporting 

Other Cities 

Area actually reporting 
Estimated totals 

Rural 

Area actually reporting 
Estimated totals 

State ToUl 

Rate per 100,000 
inhabitants 

ARKANSAS 

Metropolitan Statistical 
Area 

Area actually reporting 
Other Cities 

Area actually reporting 
Rural 

Area actually reporting 
State Total 

Rate per 100,000 
inhabitants 

CALIFORNIA 

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 



2,644,950 




98.5% 


146,071 


100.0% 


148,587 


627,142 




95.1% 


29,109 


100.0% 


30,595 


854,908 




88.9% 


8,072 


100.0% 


9,079 


4,127,000 


188,261 



4,561.7 



217,429 




100.0% 


12,534 


169,851 




92.0% 


7,504 


100.0% 


8,156 


125,720 




100.0% 


4,558 


513,000 


25,248 



4,921.6 



2,641,337 




100.0% 


218,315 


442,332 




98.4% 


31,420 


100.0% 


31,917 


382,331 




90.7% 


7,911 


100.0% 


8,723 


3,466,000 


258,955 



7,471,3 



957,687 




100.0% 


62,663 


566,152 




100.0% 


28,520 


898,161 




100.0% 


11,016 


2,422,000 


102,199 



4,219.6 



26,964,608 




99.9% 


1,812,386 


100.0% 


1,812,688 


494,793 




98.9% 


32.812 


100.0% 


33,171 


708,599 




100.0% 


23,233 


28,168,000 


1,869,092 



6,635.5 



17,607 
17,917 

3,872 
4,070 

947 

1,065 

23,052 

558.6 



1,122 

870 
945 

615 
2,682 

522.8 



17,351 

2,524 
2,563 

1,118 

1,233 

21,147 

610.1 



6,753 

2,658 

826 
10,237 

422.7 



255,465 
255,501 

2,925 
2,957 

3,454 
261,912 

929.8 



128,464 
130,670 

25,237 
26,525 

7,125 

8,014 

165,209 

4,003. 1 



11,412 

6,634 
7,211 

3,943 
22,566 

4,398.8 



200,964 

28,896 
29,354 

6,793 

7,490 

237,808 

6,861.2 



55,910 

25,862 

10,190 
91,962 

3,796.9 



1,556,921 
1,557,187 

29,887 
30,214 

19,779 
1.607,180 

5,705.7 



294 
297 

55 
58 

47 

53 

408 

9.9 



5.7 



230 

23 
23 

37 

41 

294 



50 



63 
211 



2,862 
2,862 



54 
2,936 



10.4 



964 

977 

168 

177 

66 

74 

1,228 

29.8 



159 



83 
296 



57.7 



1,157 

133 
135 

48 

53 

1,345 

38.8 



512 
148 



120 
780 



32.2 



11,393 
11,395 



199 
201 



184 
11,780 



41.8 



4,283 
4,347 

407 
428 

76 

85 

4,860 

117.8 



19 
374 



72.9 



4,348 

319 
324 

71 

78 

4,750 

137.0 



1,620 

339 

78 
2,037 

84.1 



85,473 
85,484 



446 
451 



206 
86,141 



305.8 



12,066 
12,296 

3,242 
3,407 

758 

853 

16,556 

401.2 



669 

747 
812 

502 
1,983 

386.5 



11,616 

2,049 
2,081 

962 

1,061 

14,758 

425.8 



4,523 
2,121 



565 
7,209 



297.6 



155,737 
155,760 

2,260 
2,285 

3,010 
161,055 

571,8 



39,853 
40,424 

6,309 
6,631 

3,436 

3,865 

50,920 

1,233.8 



1,890 

979 
1,064 

1,367 
4,321 

842.3 



45,536 

6.580 
6,684 

2,315 

2,553 

54,773 

1,580.3 



15,733 
6,545 



4,165 
26,443 



1,091.8 



392,506 
392,571 

7,380 
7,461 

7,599 
407,631 

1.447.1 



79,422 
80,911 

17,819 
18,728 

3,239 

3,643 

103,282 

2,502.6 



8,340 

4,988 

5,422 

2,149 
15,911 

3,101.6 



141,663 

20,818 
21,148 

3,909 

4,310 

167,121 

4,821.7 



36,904 

18,160 

5,299 
60,363 

2,492.3 



901,672 
901,833 



20,613 
20,838 



10,965 
933,636 



3,314.5 



262,743 
262,783 



60 



5.— Index of Crime, State, 1988— Continued 



Population 



Crime 
Index 
total 



Modified 
Crime 
Index 
total' 



Violent 
crime^ 



Property 
crime^ 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglar> 



Larcenv- 
theft 



Motor 
vehicle 
theft 



COLORADO 

ropolitan Statistical 

rea 

Area actually reporting .. 
J Cities 

Area actually reporting .. 

Estimated totals 

*' 

I Area actually reporting 

Se Total 

Rate per 100,000 
inhabitants 

CONNECTICUT 

(i ropolitan Statistical 
rea 

Area actually reporting 
; er Cities 

Area actually reporting .. 
[ al 

Area actually reporting 
i e Total 

Rate per 100,000 
inhabitants 

DELAWARE 

I ropolitan Statistical 

rea 

I Area actually reporting 

-er Cities 

I Area actually reporting .. 

al 

Area actually reporting 

te Total 

Rate per 100,000 
inhabitants 

DISTRICT OF COLUMBIA* 

tropolitan Statistical 

>rea 

Area actually reporting 

ler Cities 

ral 

te Total 

Rate per 100,000 
inhabitants 

FLORIDA' 

itropolitan Statistical 

\rea 

Estimated totals 

her Cities 

Estimated totals 

ral 

Estimated totals 

ite Total 

Rate per 100,000 
inhabitants 

GEORGIA 

:tropolitan Statistical 

Area 

Area actually reporting 
Estimated totals 

her Cities 

Area actually reporting 
Estimated totals 

iral 

Area actually reporting 
Estimated totals 

ate Total 

Rate per 100,000 
inhabitants 

e footnotes at end of table. 



2,688,332 




100.0% 


175,653 


283,759 




99.7% 


17,550 


100.0% 


17,604 


317,909 




100.0% 


10,010 


3,290,000 


203,267 



6,178.3 



2,971,562 




100.0% 


157,663 


88,166 




100.0% 


3,459 


181,272 




100.0% 


4,092 


3,241,000 


165,214 



435,422 
100.0% 
69,451 
100.0% 

155,127 
100.0% 

660,000 



5.097.6 



21,784 

5,443 

4,447 
31,674 

4,799.1 



620,000 




100.0% 


61,471 


NONE 




NONE 




620,000 


61,471 




9,914.7 



11,231,018 
100.0% 
309,093 
100.0% 
836,889 
100.0% 
12,377,000 



4,136,342 

98.8% 

100.0% 

887,330 

94.3% 

100.0% 

1,377,328 

95.5% 

100.0% 

6,401,000 



1,051,354 

22,638 

32,220 
1,106,212 

8,937.6 



312,037 
315.542 

49,582 
52,572 

35,191 

36.851 

404,965 

6,326.6 



1 3,900 

877 
879 

769 
15,548 

472.6 



14,027 
203 



529 
14,759 



455.4 



1,999 

439 

543 
2,981 

451.7 



11,914 

11,914 

1,921.6 

131,762 

2,649 

3,932 
138,343 

1,117.7 



33,137 
33,411 

5,212 
5,526 

3,487 

3,652 

42,589 

665.3 



161,753 

16,673 
16,725 

9,241 
187,719 

5,705.7 



143,636 

3,256 

3,563 
150,455 

4,642.2 



19,785 

5,004 

3.904 
28,693 

4,347.4 



49,557 

49,557 

7,993.1 

919,592 

19,989 

28,288 
967,869 

7,819.9 



278,900 
282,131 

44,370 
47,046 

31,704 

33,199 

362,376 

5,661.2 



155 



26 
187 



5.7 



168 
3 



3 
174 



5.4 



5.2 



369 

369 

59.5 

1,335 

17 

64 
1,416 



549 
553 

79 
84 

106 
111 
748 

11.7 



1,181 

67 
67 

21 
1,269 

38.6 



791 

31 

27 
849 

26.2 

313 

45 

133 
491 

74.4 

165 

165 

26.6 



5,766 

142 

246 
6,154 

49.7 



2,271 
2,292 

314 
333 

329 

345 

2,970 

46.4 



3,128 



30 
3,250 



98.1 



5,974 

49 

57 
6,080 

187.6 



611 
124 



49 
784 



5,690 

5,690 

917.7 

48.818 

549 

549 
49,916 

403.3 



13,349 
13,456 

1,429 
1,515 

594 

622 

15,593 

243.6 



9,436 

712 
714 

692 
10,842 

329.5 



7,094 

120 

442 
7,656 

236.2 



1,048 

267 

357 
1,672 

253.3 



5,690 

5,690 

917.7 

75,843 

1,941 

3,073 
80,857 

653.3 



16,968 
17,110 

3,390 
3,594 

2,458 
2,574 
23,278 

363.7 



40,176 

2,982 
2,991 

2,336 
45,503 

1,383.1 



37,422 

659 

1,396 
39,477 

1,218.0 



4,532 

980 

1,356 
6,868 

1,040.6 



12,300 

12,300 

1,983.9 

267,775 

5,395 

10,790 
283,960 

2,294.3 



76,188 
76,997 

12,333 
13,077 

12,445 

13,032 

103,106 

1,610.8 



108,836 

13,115 
13,156 

6,339 
128,331 

3,900.6 



86,874 

2,353 

1,852 
91,079 

2,810.2 



13,621 

3,852 

2,351 
19,824 

3,003.6 



28,624 

28,624 

4,616.8 

560,343 

13,552 

15,320 
589,215 

4,760.6 



172,839 
174,941 

29,633 
31,420 

16,623 

17,407 

223,768 

3,495.8 



12,741 



576 
578 



566 
13,885 



422.0 



19,340 
244 



315 
19,899 



614.0 



1,632 

172 

197 
2,001 

303.2 



8,633 

8,633 

1,392.4 



91,474 

1,042 

2,178 
94,694 

765.1 



29,873 
30,193 

2,404 
2,549 

2,636 

2,760 

35,502 

554.6 



61 



Table 5.— Index of Crime, State. 1988— Continued 



Population 



Crime 
Index 
total 



Modified 
Crime 
Index 

total' 



Violent 
crime^ 



Property 
crime' 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Aggra- 
vated 
assault 



Larceny- 
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 

Rale per 100,000 
inhabitants 

ILLINOIS' 

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 
Rural 

Area actually reporting 
State Total 

Rate per 100,000 

inhabitants 

See footnotes at end of table. 



838,656 




100.0% 


49,469 


39,358 




100.0% 


2,517 


214,986 




100.0% 


13,474 


1,093,000 


65,460 



9,504,051 

99.8% 

100.0% 

1,024,605 

98.2% 

100.0% 

1,015,344 

100.0% 

11,544,000 



1,222,392 
100.0% 
666,996 
100.0% 
944,612 
100.0% 
2,834,000 



5,989.0 



195,759 




100.0% 


9,454 


391,731 




99.6% 


21,337 


100.0% 


21,430 


411,510 




95.0% 


8,363 


100.0% 


8,806 


999,000 


39,690 



3,973.0 



648,873 
5,620.9 



3,793,666 




86.1% 


168,065 


100.0% 


186,127 


625,772 




76.3% 


21,078 


100.0% 


27,611 


1,155,562 




54.6% 


9,628 


100.0% 


17,626 


5,575,000 


231,364 



4,150.0 



72,985 
29,860 



12,688 
115,533 



4,076.7 



2,186 

80 

544 
2,810 

257.1 



642 

1,066 
1,070 

601 

633 

2,345 

234.7 



93,557 
810.4 



16,403 
17,587 

1,343 
1,759 

1,006 

1,841 

21,187 

380.0 



5,289 
1,531 



459 
7,279 



256. S 



47,283 

2,437 

12,930 
62,650 

5.731.9 



8,812 

20,271 
20,360 

7,762 

8,173 

37,345 

3,738.2 



504,627 
505,281 

37,454 
38,136 

11,899 
555,316 

4,810,4 



151,662 
168,540 

19,735 
25,852 

8,622 

15,785 

210,177 

3,770.0 



67,696 

28,329 

12,229 
108,254 

3,819.8 



4.0 



20 
21 
36 

3.6 



956 
956 



II 
991 



8.6 



265 
284 

9 
12 

34 

62 

358 

6.4 



1.7 



283 
II 



61 
355 



.32.5 



53 

74 
74 

49 

52 

179 

17.9 



4,449 

38.5 



1,352 
1,474 

79 
103 

84 

154 

1.731 

31.0 



353 

67 



26 
446 



15.7 



833 
14 



72 
919 



84.1 



69 

106 
106 

26 

27 

202 



35,611 
35,627 

411 
418 

52 
36,097 

312.7 



4,377 
4,601 

194 
254 

59 

108 

4,963 

89.0 



1,021 

90 

21 
1,132 

39.9 



1,042 
49 



401 
1.492 



136.5 



513 
878 



506 

533 

1,928 

193.0 



49,934 
49,962 



1,478 
1,505 



553 
52,020 



450.6 



10.409 
11.228 

1,061 
1,390 

829 

1,517 

14.135 

253.5 



3,886 
1,.363 



405 
5,654 



199.5 



9.811 
446 



3.469 
13,726 



1.255.8 



2.392 

3,680 
3,696 

2,472 
2,603 
8,691 

870.0 



117,703 
117,839 



7,914 
8,058 



4,395 
130,292 



1,128.7 



37.971 
42.097 

3.361 
4.403 

3,079 

5,637 

52,137 

935.2 



15.048 
5,079 



4,084 
24.211 



854.3 



34.227 
1,889 



8.830 
44,946 



4.112.2 



6.026 

15,770 
15,839 

4,775 

5,028 

26,893 

2,692.0 



318,938 
319,395 

28,276 
28,791 

6,962 
355.148 

3,076.5 



98.017 
109,242 

1 5,409 
20,185 

4.866 

8.908 

138.335 

2,481.3 



49,718 

22,118 

7,611 
79.447 

2,803.4 



62 



Ible 5.— Index of Crime, State, 1988— Continued 



Populalion 



Crime 
Index 
total 



Modified 
Crime 
Index 
total' 



Violent 
crime- 



Property 
crime' 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglar>' 



Larceny- 
theft 



Motor 
vehicle 
theft 



KANSAS 

rtropolilan Statistical 

\rea 

Area actually reporting 
Estimated totals 

her Cities 

Area actually reporting 
Estimated totals 

ral 

Area actually reporting 

Estimated totals 

Hte Total 

Rate per 100,000 
inhabitants 



KENTUCKY' 

:tropolitan Statistical 
\rea 

Estimated totals .. 
her Cities 

Estimated totals .. 
iral 

Estimated totals .. 
Bte Total 

Rate per 100,000 
inhabitants 



LOUISIANA 

tetropolitan Statistical 

Area 

Area actually reporting 
Estimated totals 

Cher Cities 

Area actually reporting 
Estimated totals 

aral 

Area actually reporting 
Estimated totals 

:ate Total 

Rale per 100.000 
inhabitants 



MAINE 

letropolitan Statistical 
Area 

Area actually reporting 
•ther Cities 

Area actually reporting 
ural 

Area actually reportmg 
tate Total 

Rate per 100,000 
inhabitants 



MARYXAND 

letropolitan Statistical 
Area 

Area actually reporting 

Estimated totals 

)ther Cities 

Area actually reporting 
t,ural 

Area actually reporting 
itate Total 

Rate per 1 00.000 

mhabitants 

•ce footnotes at end of table. 



1.299,312 




99.1% 


81,098 


100,0% 


81,643 


695.380 




94.6% 


30,663 


100.0% 


32,430 


492.308 




98.3% 


7,166 


100.0% 


7.290 


2,487,000 


121,363 



1,705,528 
100.0% 
601,062 
100.0% 

1,414,410 
100.0% 

3,721,000 



450,025 
100,0% 

412,447 
100.0% 

343,528 

100.0% 

1.206.000 



4,879.9 



79.038 
21,371 



16,237 
116,646 



3,134.8 



3,050,413 




92.3% 


204,160 


100.0% 


217,207 


484,376 




56.7% 


11,819 


100.0% 


20,845 


885,211 




60.5% 


10,035 


100,0% 


16,572 


4,420.000 


254.624 



5,760.7 



23,650 
14,202 



5,295 
43,147 



3,577.7 



4,313,727 




99,9% 


249,897 


100.0% 


250,054 


84,571 




100.0% 


8,288 


245,702 




100.0% 


6,581 


4.644.000 


264,923 



6,579 
6,609 

1,846 
1,952 

514 

522 

9,083 

365.2 



7,620 
2,206 



2,458 
12.284 



330. 1 



25,655 
26,855 

1,195 
2,107 

1,665 

2,749 

31.711 

717.4 



1,122 
456 



5,704.6 



320 
1.898 



157,4 



35,537 
35.551 



834 



1,081 
37,466 



806.8 



74,519 
75,034 

28,817 
30,478 

6,652 

6,768 

112,280 

4,514.7 



71,418 
19,165 



13,779 
104,362 



2,804.7 



178,505 
190,352 

10,624 
18,738 

8,370 

13,823 

222,913 

5,043.3 



22,528 

13,746 

4,975 
41,249 

3,420,3 



214,360 
214,503 



7,454 



5,500 
227,457 



4,897.9 



70 
70 

9 
10 

5 

5 

85 

3.4 



86 



121 
229 



6.2 



394 
407 

23 
41 

39 

64 

512 

11.6 



3.1 



435 
435 



11 
449 



9.7 



564 
566 

144 

152 

60 

61 

779 

31.3 



570 
100 



165 
835 



22.4 



1,285 
1,347 

50 
88 

162 

267 

1,702 

38.5 



59 
224 



18.6 



1,605 
1,605 



59 



57 
1,721 



37.1 



1,888 
1,893 

209 

221 

22 

22 

2,136 

85.9 



2,364 

207 

193 
2,764 

74.3 



8,519 
8,774 

180 
317 

89 

147 

9,238 

209.0 



230 
62 



19 
311 



25.8 



13,716 
13,720 



182 



92 
13.994 



301.3 



4,057 
4,080 

1,484 
1,569 

427 

434 

6.083 

244.6 



4,600 

1,877 

1,979 
8,456 

227.3 



15,457 
16,327 

942 
1,661 

1,375 
2,271 
20,259 

458.3 



790 
304 



232 
1,326 



110.0 



19,781 
19,791 



590 



921 
21,302 



458.7 



20,204 
20,314 

6,214 

6,572 

2,.393 
2,435 
29,321 

1,179.0 



19,402 
4,827 



6.518 
30,747 



826.3 



51,458 
54,365 

2,926 
5,161 

2,614 

4,317 

63,843 

1,444,4 



5,204 
2,468 



2,180 
9,852 



816.9 



50,911 
50,942 

1,699 

2,094 
54,735 

1,178.6 



49,652 
50,033 

21,674 
22.923 

3,903 

3,971 

76,927 

3,093.2 



47,432 
13,275 



6,004 
66,711 



1,792,8 



108,786 
117,031 

7,441 
13,124 

5.441 

8,986 

139,141 

3,148.0 



15,883 

10,629 

2,416 
28,928 

2,398.7 



132,910 
133.009 

5,456 

3,044 
141.509 

3,047.1 



4,663 
4,687 

929 
983 

356 

362 

6,032 

242,5 



4,584 
1,063 



1,257 
6,904 



185.5 



18.261 
18,956 

257 
453 

315 

520 

19,929 

450.9 



1.441 
649 



379 
2,469 



204.7 



30,539 
30,552 



299 



362 
31.213 



672.1 



63 



Table 5.— Index of Crime, State, 1988— Continued 



Population 



Crime 
Index 
total 



Modified 
Crime 
Index 
total' 



Violent 
crime^ 



Properly 
cnme^ 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



MASSACHUSETTS 

Metropolitan Statistical 

Area 

Area actually reporting 
Estimated totals 

Other Cities 

Area actually repoiling 
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 

Aiea actually reporting 
Estimated totals 

Other Cities 

Area actually reporting 
Estimated totals 

Rural 

Area actually reporting 
Estimated totals 

State 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 table. 



5,358,237 




90.0% 


254.032 


100.0% 


272,016 


501,459 




84.1% 


17,562 


100.0% 


20,876 


11,304 




100.0% 


123 


5,871,000 


293,015 



7,464,828 

97.9% 

100.0% 

691,477 

97.7% 

100.0% 

1,143,695 

100.0% 

9,300,000 



2,852,210 
100.0% 
512,347 
100.0% 
941,443 
100.0% 
4,306,000 



4,990.9 



494,049 
502,963 

28,478 
29,156 

33,728 
565,847 

6,084.4 



147,382 

22,346 

16,064 
185,792 

4,314.7 



796,170 




68.3% 


34,950 


100.0% 


44,700 


676,175 




79.4% 


30,383 


100.0% 


38,262 


1,154,655 




44.2% 


5,048 


100.0% 


11,422 


2,627,000 


94,384 



3,592.8 



3,391,795 




96.6% 


211,031 


100.0% 


214,987 


465,972 




88.5% 


18,123 


100.0% 


20,477 


1,281,233 




64.7% 


8,743 


100.0% 


13,507 


5,139,000 


248,971 



4,844.7 



32,601 
34,224 

1,790 
2,127 

25 
36,376 

619.6 



63,934 
64,684 

1,456 
1,490 

2,806 
68,980 

741.7 



10,922 

796 

772 
12,490 

290.1 



3,461 
4,348 

2,252 
2,836 

601 
1,360 
8,544 

325.2 



25,571 
25,864 

1,116 
1,260 

821 

1,269 

28,393 

552.5 



221,431 

237,792 



15,772 
18,749 



98 
256,639 



4,371.3 



430,115 
438,279 

27,022 
27,666 

30,922 
496,867 

5,342.7 



136,460 

21,550 

15,292 
173,302 

4,024.7 



31,489 
40,352 

28,131 
35,426 

4,447 
10,062 
85,840 

3,267.6 



185,460 
189,123 

17,007 
19,217 

7,922 

12,238 

220,578 

4,292.2 



189 
197 



208 

3.5 



949 
954 



44 
1,009 



lO.i 



15 
124 



2.9 



72 
95 

53 
67 

28 

63 

225 

8.6 



355 
359 

11 
12 

27 

42 

413 



i.O 



1,660 
1,753 

102 
121 

2 
1,876 

32.0 



5,179 
5,239 

261 

267 

956 
6,462 

69.5 



1,112 

98 

127 
1,337 

31.0 



336 
546 

196 

247 

70 
158 
951 

36.2 



1,261 
1,281 

75 
85 

90 

139 

1,505 

29.3 



9,909 
10,230 

103 
122 



10,352 

176.3 



21,971 
22,176 



143 
146 



102 
22,424 



241.1 



3,970 
73 



36 
4,079 



94.7 



1,057 
1,254 

487 
613 

71 

161 

2,028 

77.2 



8,353 
8,414 

111 
125 

64 

99 

8,638 

168.1 



20,843 
22,044 

1,576 
1,873 

23 
23,940 

407.8 



35,835 
36,315 

1,041 
1,066 

1,704 
39,085 

420.3 



5,741 
615 



594 
6,950 



161.4 



1,996 
2,453 

1,516 
1,909 

432 

978 

5,340 

203.3 



15,602 
15,810 

919 
1,038 

640 

989 

17.837 

347.1 



52,755 
56,633 

4,745 
5,640 

34 
62,307 

1,061.3 



104,519 
106,116 

4,394 
4,499 

11,639 
122,254 

1,314.6 



30,739 

3,281 

5,147 
39,167 

909.6 



11,695 
16,528 

9,204 
11,591 

2.445 

5,532 

33,651 

1,281.0 



48,421 
49,366 

3,403 
3,845 

3,492 

5,394 

58,605 

1,140.4 



120.769 
130,320 

9,731 
11,568 

45 
141,933 

2,417.5 



260,087 
265,595 

21,689 
22,206 

17,892 
305,693 

3,287.0 



93,186 

17,296 

9,044 
119,526 

2,775.8 



1 7,940 
21,314 

17,904 
22,547 

1,749 

3,957 

47,818 

1,820.3 



116,371 
118,836 

12,921 
14,600 

4,021 

6,212 

139,648 

2,717.4 



64 



ie 5.— Index of Crime, State, 1988— Continued 



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 



MONTANA 

opolitan Statistical 

ea 

Area actually reporting 

r Cities 

Area actually reporting 
Estitnated totals 

il 

Area actually reporting 
Estimated totals 

; Total 

Rate per 100.000 
inhabitants 



NEBRASKA 

opolitan Statistical 

ea 

Area actually reporting 

:r Cities 

Area actually reporting 

Estimated totals 

M 

Area actually reporting 

Estimated totals 

n Total 

Rate per 100,000 
inhabitants 



NEVADA 

ropolitan Statistical 

rea 

Area actually reporting 

er Cities 

Area actually reporting 
Estimated totals 

al 

Area actually reporting 
Estimated totals 

te Total 

Rate per 100,000 
inhabitants 



NEW HAMPSHIRE 

tropolitan Statistical 

.rea 

Area actually reporting 
Estimated totals 

ler Cities 

Area actually reporting 
Estimated totals 

ral 

Area actually reporting 

te Total 

Rate per 100,000 
inhabitants 



NEW JERSEY 

^tropolitan Statistical 

\rea 

Area actually reporting 
Estimated totals 

her Cities 

ral 

ite Total 

Rate per 100.000 
inhabitants 

: footnotes at end of table. 



194,940 
100.0% 
181,026 

95.7% 
100.0% 
428.034 

91.5% 
100.0% 
804,000 



755.966 

100.0% 

381,261 

94.5% 

100.0% 

463,773 

83.9% 

100.0% 

1.601,000 



875.441 

100.0% 

32,125 

54.8% 

100.0% 

152,434 

67.3% 

100.0% 

1,060.000 



590,042 

96.8% 

100.0% 

335,152 

94.4% 

100.0% 

171.806 

100.0% 

1.097,000 



7.720.000 
99.8% 
100.0% 
NONE 
NONE 

7,720.000 



11.672 

10,877 
11,364 

10,317 
11,271 
34,307 

4.267.0 



44.105 

15,575 
16,473 

4,786 

5,704 

66.282 

4.140.0 



61.837 

1.004 
1.831 

3.187 

4.735 

68.403 

6.453.1 



23,525 
24.179 

10,602 
11,234 

1.160 
36,573 

3,333.9 



408.255 
408.800 



408.800 

5.295.3 



310 

246 
257 

386 
422 
989 

123.0 



3,754 

385 
407 

179 

213 

4,374 

273.2 



7,454 

116 

211 

411 

610 

8,275 

780.7 



968 
1,004 



459 
486 



132 
1.622 



147.9 



44.951 
44,993 



44,993 

582.8 



11.362 

10.631 
11.107 

9.931 
10.849 
33,318 

4.144.0 



40.351 

15.190 
16.066 

4.607 

5.491 

61,908 

3,866.8 



54,383 



1,620 

2,776 

4.125 

60,128 

5.672.5 



22,557 
23,175 



10,143 
10,748 



1.028 
34,951 



3,186.1 



363.304 
363.807 



363,807 

4,712.5 



6 
6 

9 
10 
21 

2.6 



36 

7 
7 

13 
15 
58 

3.6 



96 

5 
9 

4 

6 

111 

10.5 



2.3 



411 

411 



411 

5.3 



58 

17 
18 

54 
59 
135 



304 



26 
385 



24.0 



755 
3 



782 



73.8 



154 
159 



35 
276 



25.2 



2.597 
2.600 



2,600 

33.7 



106 

36 
38 

35 
38 
182 

22.6 



827 

51 

54 

14 

17 

898 

56.1 



2.992 

13 
24 

48 

71 

3,087 

291.2 



162 
166 



7 
231 



21.1 



18.912 
18,927 



18.927 

245.2 



141 

187 
195 

288 
315 
651 

81.0 



2.587 

275 
291 

130 

155 

3,033 

189.4 



3.611 

95 

173 

344 

511 

4,295 

405.2 



636 
663 



325 
344 



83 
1.090 



99.4 



23.031 
23.055 



23,055 

298.6 



2,097 

1,246 
1.302 

2,067 
2,258 
5,657 

703.6 



7,958 

2,626 

2,777 

1,272 

1.516 

12,251 

765.2 



14.719 

238 
434 

823 

1.223 

16,376 

1,544.9 



4.709 
4.829 

2.095 
2.220 

440 
7,489 

682.7 



75,574 
75,675 



75,675 
980.2 



8,784 

8,880 
9.277 

7.195 

7.860 

25,921 

3,224.0 



30.243 

11,999 
12,691 

3,104 

3,700 

46.634 

2,912.8 



33.718 

582 
1,062 

1.764 

2.621 

37.401 

3,528.4 



15,950 
16,393 

7.589 
8.042 

529 
24,964 

2.275.7 



218,765 
219,086 



219,086 

2,837.9 



481 

505 
528 

669 

731 

1,740 

216.4 



2,150 

565 
598 

231 

275 

3,023 

188.8 



5,946 



68 
124 



189 

281 

6.351 



599.2 



1,898 
1,953 

459 
486 

59 
2,498 

227.7 



68,965 
69,046 



69,046 

894.4 



65 



Table 5.— Index of Crime, State. 1988— Continued 



Population 



Crime 
Index 
total 



Modified 
Crime 
Index 
total' 



Violent 
crime- 



Property 
crime' 



Murder 
and non- 
negligenl 

man- 
slaughter 



Forcible 
rape 



Robbery- 



Aggra- 
vated 
assault 



Burglar> 



Larceny- 
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 

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 
Other Cities 

Area actually reporting 
Rural 

Area actually reporting 

Estimated totals 

State Total 

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 

See footnotes at end of table. 



730,552 




71.7% 


48,522 


100.0% 


58,462 


484,019 




87.8% 


26,520 


100.0% 


30,188 


295,429 




55.6% 


6,173 


100.0% 


11,105 


1,510,000 


99,755 



6,606.3 



16,196,239 




99.2% 


1,072,711 


100.0% 


1,077,283 


782,506 




98.0% 


30,238 


100.0% 


30,853 


919,255 




100.0% 


21,105 


17,898,000 


1,129,241 



6,309.3 



3,606,954 




99.1% 


209,025 


100.0% 


211,330 


933,734 




90.9% 


58,021 


100.0% 


63,846 


1,985.312 




98.7% 


41,568 


100.0% 


42.134 


6,526,000 


317,310 



4,862.2 



251,621 




100.0% 


10,791 


133,616 




100.0% 


4,513 


277,763 




97.6% 


2,717 


100.0% 


2,783 


663,000 


18,087 



2,728.1 



8,567,919 




88.0% 


410,038 


100.0% 


444,317 


873,633 




78.1% 


30,366 


100.0% 


38,894 


1,430,448 




77.5% 


16,916 


100.0% 


2i,823 


10,872,000 


505,034 



4,750 
5,305 

2,496 
2,841 

996 
1,792 
9,938 

658.1 



192,414 
192,757 



4,645.3 



1.896 
1,934 



1,705 
196,396 



1,097.3 



21,649 
21,884 

6,234 
6,859 

3,956 

4,010 

32,753 

501.9 



207 

86 

97 

99 

392 

59.1 



42,497 
45,040 

2,005 
2,568 

1,191 

1,536 

49,144 

452.0 



43,772 
53,157 

24,024 
27,347 

5.177 

9.313 

89,817 

5,948.1 



880,297 
884,526 

28,342 
28,919 

19,400 
932,845 

5,212.0 



187,376 
189.446 

51,787 
56,987 

37,612 
38,124 
284,557 

4,360.4 



10,584 

4,427 

2,620 
2,684 
17,695 

2,668.9 



367,541 
399,277 

28,361 
36,326 

15,725 

20,287 

455,890 

4,193.2 



58 
74 

38 
43 

31 

56 

173 

11.5 



2,210 
2,213 

14 
14 

17 
2,244 

12.5 



250 
252 

73 
80 

176 
178 
510 



514 
542 

17 
22 

16 

21 

585 

5.4 



234 
294 

144 
164 

68 
122 
580 

38.4 



5,226 
5,242 



120 
122 



115 
5,479 



30.6 



1,306 
1,319 

224 
246 

264 

268 

1,833 

28.1 



52 

13 

9 
9 

74 

11.2 



4,046 
4,273 

183 
234 

97 

125 

4,632 

42.6 



1,023 
1,122 

273 
311 

69 

124 

1,557 

103.1 



96,972 
97,081 



254 
259 



94 
97,434 



544.4 



5,334 
5,381 

1,204 
1,325 

374 

379 

7,085 

108.6 



41 



16,358 
16,969 

349 

447 

101 

130 

17,546 

161.4 



3,435 
3,815 



2,041 
2,323 



1,490 
7,628 



505.2 



88,006 

88.221 



1,508 
1,539 



1,479 
91,239 



509.1 



14,759 
14,932 

4,733 
5,208 

3,142 

3,185 

23,325 

357.4 



108 

62 

80 

82 

252 

38.0 



21,579 
23,256 

1,456 
1,865 

977 

1,260 

26,381 

242,7 



13,625 
16,802 

6,038 
6,873 

2,258 
4,062 
27,737 

1,836.9 



204,850 

205.777 

5.361 
5,470 

6,8 1 3 
218,060 

1,218.3 



57,067 
57.616 

14,248 
15,679 

17,261 
17,496 
90,791 

1,391.2 



1,547 

560 

776 

795 

2,902 

437.7 



92,059 
98,635 

5,460 
6,993 

5,040 

6,502 

112,130 

1,031.4 



26,902 
32,532 

16,888 
19,224 

2,466 

4.436 

56,192 

3.721.3 



523,696 

526,577 

22,047 
22,496 

11,814 
560,887 

3,133.8 



119.233 
120,642 

35,176 
38,708 

17,833 

18.076 

177,426 

2.718.8 



8,567 

3,692 

1,706 

1,748 

14,007 

2,112.7 



237,069 
259,851 

21,759 
27,870 

9,793 

12,634 

300,355 

2,762.6 



3,245 
3,823 



1,098 
1.250 



453 
815 



389.9 



151,751 
152,172 



934 
953 



773 
153,898 



859.9 



11,076 
11,18 

2,363 
2,600 

2,518 
2,552 
16,340 

250.4 



470 

175 

138 
141 
786 

118.6 



38,413 
40,791 

1,142 

1,463 

892 

1,151 

43,405 

399.2 



66 



e 5. — Index of Crime, State, 1988 — Continued 



Population 



Crime 
Index 
total 



Modified 
Crime 
Index 
total' 



Violent 
crime- 



Property 
crime' 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Aggra- 
vated 
assault 



Burglar>' 



Larceny- 
theft 



Motor 
vehicle 
theft 



OKLAHOMA 

Dpolitan Statistical 



Area actually reporting 
r Cities 

Area actually reporting 
I 



Area actually reporting 

Total 

Rate per 100,000 
inhabitants 



OREGON 

lOpolitan Statistical 



Area actually reporting 

Estimated totals 

<r Cities 

Area actually reporting 
Estimated totals 



>1 



Area actually reporting 

Total 

Rate per 100,000 
inhabitants 



PENNSYLVANIA 

'Opolitan Statistical 

■ea 

Area actually reporting 
Estimated totals 

r Cities 

Area actually reporting 
Estimated totals 

il 

Area actually reporting 

: Total 

Rate per 100.000 
inhabitants 



PUERTO RICO 

ropolitan Statistical 



Area actually reporting 
;r Cities 

Area actually reporting 
d 



Rate per 100,000 
inhabitants 



RHODE ISLAND 

ropolitan Statistical 

rea 

Area actually reporting 

Estimated totals 

er Cities 

Area actually reporting 
al 

Area actually reporting 
te Total 

Rate per 100,000 

inhabitants 

footnotes at end of table. 



1.917.389 
100.0% 
699.379 
100.0% 
646.232 
100.0% 
3,263,000 



1,852.230 

99.8% 

100.0% 

411,706 

99.7% 

100.0% 

477,064 

100.0% 

2,741,000 



10,192,355 

98.1% 

100.0% 

771,939 

93.5% 

100.0% 

1,062,706 

100.0% 

12,027,000 



2.653,817 
100.0% 
683,424 
100.0% 

3,338,000 



931,966 
99.4% 
100.0% 
63,034 
100.0% 



100.0% 
995,000 



135.482 

34.893 

11.998 
182,373 

5.589.1 



149.299 
149.514 

29.517 
29,600 

14,365 
193,479 

7.058.7 



343.539 
348.552 



17.489 
18,708 



14,760 
382,020 



3.176.4 



98.101 



12,950 
111.051 



3,327.1 



47,706 
47,878 



3,886 



20 
51,784 



5,204.4 



10,846 

2,515 

818 
14,179 

434.5 



12,921 
12,931 

1,110 
1,113 

915 
14,959 

545.7 



40,688 
41,112 

1,498 
1.603 

819 
43,534 

362.0 



19,735 



2,524 
22,259 



666.9 



3,702 
3,710 

235 

2 
3,947 

396.7 



124,636 
32,378 



11,180 
168.194 



5,154.6 



136,378 
136.583 

28.407 
28,487 

1 3.450 
178,520 

6,513.0 



302,851 
307,440 

15,991 
17,105 

13,941 
338,486 

2,814,4 



78.366 



10.426 
88.792 



2,660.2 



44.004 

44.168 

3.651 

18 
47,837 

4,807.7 



160 
36 



47 
243 



7.4 



101 
101 



5.1 



613 
616 



36 
660 



5.5 



527 



66 
593 



17.8 



994 
168 



67 
1,229 



37.7 



846 
846 



112 
112 



153 
1,111 



40.5 



2,680 
2,705 

126 
135 

152 
2,992 

24.9 



349 



78 
427 



41 

4.1 



283 
284 



I 
303 



30.5 



3.039 

318 

71 
3.428 

105.1 



4.949 
4.953 



6.653 

1,993 

633 
9,279 

284.4 



7,025 
7,031 



261 
262 



74 
5.289 



193.0 



16,237 
16,324 

174 
186 

97 
16,607 

1 38. 1 



12,188 

572 
12,760 

382.3 



1,090 
1,092 



53 

I 
1.146 



115.2 



723 
725 



664 
8.420 



307.2 



21,158 
21,467 



1,191 
1,274 



534 
23.275 



193.5 



6,671 

1,808 
8.479 

254.0 



2,290 
2,295 



162 



2,457 
246.9 



39,039 

9,349 

5,236 
53.624 

1,643.4 



36,502 
36,553 

6,794 
6,813 

4,989 
48.355 

1,764.1 



73,238 
74,144 

3,062 
3,275 

6,372 
83.791 

696.7 



30,801 



5,240 
36.041 



1,079.8 



11,731 
11,776 

769 

5 
12.550 

1,261.3 



70,449 
20.915 



5.054 
96.418 



2.954.9 



85,998 
86,137 

20,095 
20,152 

7,583 
113.872 

4,154.4 



180,653 
183,849 

12.081 
12.923 

6,590 
203.362 

1,690.9 



30,051 



4,341 
34.392 



1,030.4 



24,376 
24,474 



2,564 



11 
27.049 



2.718.5 



15,148 
2.114 



890 
18,152 



556.3 



13,878 
13,893 

1,518 
1,522 

878 
16,293 

594.4 



48,960 
49,447 

848 
907 

979 
51.333 

426.8 



17,514 

845 
18,359 

550.0 



7,897 
7,918 

318 

2 
8,238 

827.9 



67 



Table 5.— Index of Crime, State, 1988— Continued 



Population 



Cnme 
Index 

total 



Modified 
Crime 
Index 
total' 



Violent 
crime- 



Property 
crime' 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



SOUTH CAROLINA 

Metropolitati Statistical 

Area 

Area actually reporting 
Estimated totals 

Other Cities 

Area actually reporting 
Estiinated totals 

Rural 

Area actually reporting 

Slate 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 

Stale 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 
Other Cities 

Area actually reporting 
Rural 

Area actually reporting 

Estimated totals 

Slate Total 

Rate per 100.000 
inhabitants 

UTAH 

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 table. 



2,111,791 




99.6% 


126,554 


100.0% 


127,096 


433,651 




98.5% 


29,334 


100.0% 


29,768 


947,558 




100.0% 


32,189 


3,493,000 


189,053 



5,412.3 



205,119 




100.0% 


8,566 


169,767 




92.9% 


6,342 


100.0% 


6,825 


340,114 




48.9% 


1,498 


100.0% 


3,063 


715,000 


18,454 



2,581.0 



3,268,060 




91.1% 


175,127 


100.0% 


183,940 


574,488 




86.6% 


19,408 


100.0% 


22,424 


1,076,452 




61.5% 


8,290 


100.0% 


13,488 


4,919,000 


219,852 



13,600,175 

100.0% 

1,442,927 

100.0% 

1,736,898 

99.5% 

100.0% 

16,780,000 



4,469.4 



1,229,158 

77,949 

38,057 

38,262 

1,345,369 

8,017.7 



1,304,476 




100.0% 


82,381 


192,853 




96.7% 


8,135 


100.0% 


8,413 


193,671 




100.0% 


3,5.39 


1,691,000 


94,333 



5,578.5 



16,429 
16,490 

4,280 
4,344 

5,055 
25,889 

741.2 



508 

159 

172 

65 
133 
813 

113.7 



22,339 
23,056 

1,648 
1,904 

765 

1,245 

26,205 

532.7 



99,807 

6,855 

2,822 

2,837 

109,499 

652.6 



3,567 



326 

337 



206 
4,110 



243.1 



110,125 
1 10,606 



25,054 
25,424 



27,134 
163,164 



4,671.2 



8,058 

6,183 
6,653 

1,433 
2,930 
17,641 

2,467.3 



152.788 
160,884 

17,760 
20,520 

7,525 

12,243 

193,647 

3,936.7 



1,129,351 

71,094 

35,235 

35,425 

1,235,870 

7,365.1 



78,814 

7,809 
8,076 

3,333 
90,223 

5,335.5 



181 
181 



99 
325 



9.3 



12 

2 
2 

4 

8 

22 

3.1 



354 
364 

35 
40 

35 

57 

461 

9.4 



1,768 

108 

145 

146 

2,022 

12.1 



989 
992 



184 
187 



314 
1,493 



42.7 



138 

23 
25 

14 

29 

192 

26.9 



1.899 
1,967 



102 

81 

132 

2,201 

44.7 



7,544 

.383 

191 

192 

8,119 

48.4 



21 
399 



23.6 



3,249 
3,262 



612 
621 



474 
4,357 



124.7 



61 



12.2 



8,113 
8,239 

190 
220 

48 

78 

8,537 

173.6 



38,237 

828 

235 

236 

39,301 

2.34.2 



883 



9 
915 



54.1 



12,010 
12,055 

3,440 
3,491 

4,168 
19,714 

564.4 



297 

114 
123 

45 

92 

512 

71.6 



11,973 
12,486 

1,335 
1,542 

601 

978 

15,006 

305.1 



52,258 

5,536 

2,251 

2,263 

60,057 

357.9 



2,-301 



269 

278 



170 
2,749 



162.6 



32,165 
32,290 

6,749 
6,849 

10,328 
49,467 

1,416.2 



1,513 

926 
996 

584 
1,194 
3,703 

517.9 



46,796 
49,494 

4,910 
5,673 

3,520 

5,727 

60,894 

1,237.9 



325,602 

20,324 

15,960 

16,046 

361,972 

2,157.2 



12,936 



1,122 
1,160 



802 
14,898 



881.0 



70,309 
70,637 

17,127 
17,380 

15,038 
103,055 

2,950.3 



6,242 

5,016 
5,398 

790 

1,615 

13,255 

1,853.8 



82,733 
87,487 

11,423 
13,198 

3,299 

5,367 

106,052 

2,156.0 



674,695 

47,621 

17,233 

17,326 

739,642 

4,407.9 



62,746 



6,374 
6,592 



2,339 
71,677 



4,238.7 



68 



"able 5. — Index of Crime, State, 1988 — Continued 



Population 



Crime 
Index 
total 



Modified 
Cnmc 
Index 
total' 



Violent 
crime* 



Properly 
cnmc^ 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Aggra- 
vated 
assault 



Burglai> 



Larceny- 
theft 



Motor 
vehicle 
theft 



VERMONT 

lelropolilan Slatislical 

Area 

Area actually reporting 

)ther Cities 

Area actually reporting 

iural 

Area actually reporting 

litile Total 

Rate per 100,000 
inhabitants 

I VIRGINIA 

iiletropolitan Statistical 

Area 

Area actually reporting 

)ther Cities 

Area actually reporting 

lural 

Area actually reporting 

itate Total 

Rate per 100,000 
inhabitants 

WASHINGTON 

vietropolitan Statistical 

Area 

Area actually reporting 
Estimated totals 

Dther Cities 

Area actually reporting 
Estimated totals 

Rural 

Area actually reporting 
Estimated totals 

State Total 

Rate per 100,000 
inhabitants 

WEST VIRGINIA 

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 
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. 



106.662 

100.0% 
200,179 

100.0% 
249,159 

100.0% 
556,000 



4,301,681 
100.0% 
456,588 
100.0% 

1,237,731 
100.0% 

5,996,000 



3,240,718 

99.4% 

100.0% 

554,794 

98.0% 

100.0% 

1,062,488 

100.0% 

4,858,000 



7,673 

9,053 

6,851 
23,577 

4,240.5 



213,870 

17,853 

18,713 
250,436 

4,176.7 



3,752,601 




99.3% 


282,130 


100.0% 


284,361 


372,447 




85.2% 


24,035 


100.0% 


28,202 


493.952 




87.1% 


13,932 


100.0% 


15,988 


4,619,000 


328,551 



7,113.0 



683,287 




100.0% 


22,160 


318,884 




100.0% 


9,296 


881,829 




100.0% 


10,723 


,884,000 


42,179 



2,238.8 



151,557 
152,291 



23,159 
23,638 



17,030 
192,959 



3,972.0 



157 
319 



315 
791 



142.3 



15,498 
977 



1,465 
17,940 



299.2 



19,319 
19,408 

1,050 
1,232 

787 

903 

21,543 

466.4 



1,306 
365 



805 
2,476 



131.4 



9,045 
9,071 



638 
650 



693 
10,414 



214.4 



7,516 

8,734 

6,536 
22,786 

4,098.2 



198,372 

16,876 

17,248 
232,496 

3,877.5 



262,811 
264,953 

22,985 
26,970 

13,145 

15,085 

307,008 

6,646.6 



20,854 

8,931 

9,918 
39,703 

2,107.4 



142,512 
143,220 

22,521 
22,988 

16.337 
182,545 

3,757.6 



2.0 



369 
20 



79 
468 



7.8 



223 
224 



27 

31 

264 

5.7 



4.9 



127 
127 



12 
144 



3.0 



32 

57 

39 
128 

23.0 

1,351 

79 

192 
1,622 

27.1 



2,299 
2,314 

132 
155 

124 

142 

2.611 

56.5 



155 
40 



158 
353 



18.7 



835 
837 



65 
965 



19.9 



38 

33 

18 
89 

16.0 

6,384 

191 

173 
6,748 

112.5 



6,454 
6,478 

177 
208 

45 

52 

6,738 

145.9 



429 
123 



92 
644 



34.2 



3,133 
3,139 

72 
73 

46 
3,258 

67.1 



86 

228 



249 
563 



101.3 



7,394 
687 



1,021 
9,102 



151.8 



10,343 
10,392 

733 
860 

591 

678 

11,930 

258.3 



692 

186 

508 
1,386 

73.6 



4,950 
4,968 

499 
509 

570 
6,047 

124.5 



1,746 
1,859 



2,493 
6.098 



1,096.8 



40,498 
3,008 



5,563 
49,069 



73,341 
73,790 

5,294 
6,212 

4,975 

5,709 

85.711 

1,855.6 



5,589 

2,082 

3,839 
11,510 

610.9 



26,625 
26,739 

3,001 
3,063 

5,621 
35,423 

729.2 



5,474 

6,442 

3,675 
15,591 

2,804.1 



141,606 
13,172 



10,565 
165,343 



2,757.6 



171,396 
172,961 

16,753 
19,657 

7,566 

8,683 

201,301 

4,358.1 



13,766 

6,399 

4,982 
25,147 

1,334.8 



104,588 
105,151 

18,754 
19,143 

9,752 
134,046 

2,759.3 



296 

433 

368 
1,097 

197.3 



16,268 

696 

1,120 
18,084 

301.6 



18,074 
18,202 

938 
1,101 

604 

693 

19,996 

432.9 



1,499 

450 

1,097 
3,046 

161.7 



11,299 
11,330 

766 
782 

964 
13,076 

269.2 



69 



Table 5.— Index of Crime, State, 1988— Continued 



Population 



Crime 
Index 

total 



Modified 
Crime 
Index 
total' 



Violent 
crime- 



Properly 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



WYOMING 

Metropolitan Statistical 
Area 

Area actually reporting 
Other Cities 

Area actually reporting 

Estimated totals 

Rural 

Area actually reporting 
State Total 

Rate per 100,000 
inhabitants 



136,632 




100.0% 


6,633 


214,321 




99.6% 


9,383 


100.0% 


9,417 


120,047 




100.0% 


2,635 


471,000 


18,685 



3,967.1 



413 

707 
709 

357 
1,479 

314.0 



6,220 

8,676 
8,708 

2,278 
17,206 

3,653.1 



2.5 



28 



26 
113 



24.0 



40 



15.1 



340 

619 
621 

322 
1,283 

272.4 



1,222 



1,234 
1,239 



642 
3,103 



658.8 



4,740 

7,135 
7,161 

1,531 
13,432 

2,851.8 



258 



307 
308 



105 
671 



142.5 



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

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

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

^Includes offenses reported by the Zoological Police. 

'Data for 1988 were not available for the States of Rorida and Kentucky; therefore, it was necessary that their crime counts be estimated. See "Offense Estimation", page 3 for c 

'Forcible rape figures furnished by the slate-level Uniform Crime Reporting (UCR) Program administered by the Illinois Department of State Police were not in accordance with national 
guidelines. The 1988 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 "dl 
Estimation", page 3 for details. 



70 



I 



able 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1988 

\rMin 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 
tkiiscs, including arson. 



City by State 



Population 



Crime 
Index 
total 



Modified* 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larccny- 
thef> 



Motor 
vehicle 
theft 



ALABAMA 

ilabasler 

\lhenville 

Andalusia 

•inniston 

Athens 

\uhum 

icsscmer 

hrmingham 

Pullman 

Decatur 

3othan 

Etiteiprise 

Eufaula 

Fatrfield 

Rorence 

Fort Payne 

Gadsden 

Homewood 

Hoover 

Hueytown 

Huntsville 

Jasper 

Leeds 

Mobile 

Montgomei7 

Mountain Brook 

Nonhport 

Opelika 

Oxford 

Ozark 

Phenix City 

Prattville 

Pnchard 

Saraland 

Scottsboro 

Selma 

Sheffield 

Sylacauga 

Talladega 

Troy 

Tuskegee 

Vestavta Hills 

ALASKA 

Anchorage 

Fairbanks 

Juneau 

ARIZONA 

Apache Junction , 

Bullhead City 

Casa Grande 

Chandler 

Douglas 

Flagstaff 

Gilbert 

Glendale 



13,371 
14.524 
10.966 
29.350 
16.009 

30.302 
32,395 
283.237 
12,769 
45.989 

53,882 
20.101 
12.988 
13,027 
36,136 

12,020 
45,888 
22,251 
30,493 
16,748 

163.618 

12.883 

10.801 

211.206 

194.460 

20.490 
16.215 
24.947 
10.472 
14.979 

28.550 
21.047 
40.337 
10.619 
14.164 

26.191 
10.845 
12,885 
19,607 
12,904 

12,957 
17,497 



217,429 
67.495 
25.689 



16.781 
20,221 
17,432 
72,619 
15,279 

41,572 

13,806 

133,932 



192 
344 
441 
3,521 
622 

2,043 

2,826 

26,397 

553 

3,267 

5,095 
1,364 
515 
1,245 
2,068 

533 
2,650 
2,107 
1,509 

559 

13,868 

735 

401 

21,852 

10,625 

381 
978 
2,312 
630 
985 

2,101 

1,081 

3,423 

625 

609 

2.533 
632 
512 
899 
676 

1.434 
499 



12,534 
2,361 
1,028 



1,118 
1.721 
1.752 
5,337 
1,218 

3,946 

1,057 

13,348 



194 



3,542 



2,044 



26,618 
556 



1,370 

518 

1,248 



1,510 

1 3.940 

402 
21.888 
10.677 

382 
983 

2.325 

987 
2,104 



610 
638 
678 



12.611 
2.372 
1.035 



1.135 
1.724 
1.764 
5,611 
1,228 

3,964 

1,067 

13,443 



18 

246 

1 

10 

12 
7 
3 

10 
9 

3 

33 

9 

4 



83 

4 

4 

126 

59 



159 
18 



5 

3 

4 

115 



21 

125 

1,292 

4 

62 

67 
16 
7 
75 
31 

6 
46 
58 
27 
16 

225 

16 

10 

932 

191 

3 

19 
36 

9 
20 

44 

24 

176 

12 

7 

63 
5 

11 
9 

17 



281 
47 

5 



199 



28 
37 
61 
441 
76 

89 

222 

1,789 

38 

124 

442 
169 
75 
121 
118 

62 
296 
116 

33 

37 

587 

73 

21 

2,297 

181 

15 
111 
156 

86 

147 

275 

158 

526 

21 

47 

551 
52 
41 

159 
95 

204 
12 



669 

190 

30 



53 

59 

144 

117 

46 

3-39 

36 

697 



35 

78 

93 

879 

124 

345 
750 
6,783 
118 
660 

1,025 

239 

92 

238 

376 

100 
500 
382 
266 
144 

2,447 

124 

58 

9,569 

2,340 

80 
150 
511 
122 
199 

493 

195 

1.199 

131 

72 

663 

93 

75 

170 

114 

440 
126 



1.890 
291 
160 



226 
667 
359 
1.094 
372 

484 

226 

2.929 



114 
174 
266 
1.886 
385 

1.525 

1.539 

13.235 

349 

2.231 

3.417 
892 
325 
662 

1.401 

326 
1.595 
1.381 
1.039 

343 

9.999 

421 

281 

7.952 

7,241 

268 
665 

1,553 
370 
586 

1.140 
649 

1,287 
451 
440 

1.174 
454 
363 
504 
426 

696 

327 



8.340 
1.630 

774 



772 

847 

1.132 

3,732 

711 

2.896 

713 

8.532 



50 

14 

160 

24 

52 

161 

2,960 

43 
176 

127 

38 

12 

136 

130 

36 
173 
161 
140 

19 

512 

95 

27 

939 

588 

15 

32 
39 
42 
26 

127 
52 

197 

6 

39 

54 

25 
17 
45 
13 

66 

21 



1,182 
184 
48 



49 
129 

69 
312 

82 

170 

70 

907 



71 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1988 — 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 



ARIZONA— Continued 

Kingman 

Lake Havasii 

Mesa 

Nogales 

Paradise Valley 

Peoria 

Phoenix 

Prescott 

Scottsdale 

Sierra Vista 

Tempe 

Tucson 

Yuma 

ARKANSAS 

Benton 

Bentonville 

Blytheville 

Camden 

Conway 

El Dorado 

Fayetteville 

Forrest City 

Fort Smith 

Harrison 

Hope 

Hot Springs 

Jacksonville 

Jonesboro 

Little Rock 

Magnolia 

Malvern 

North Little Rock 

Paragould 

Pine Bluff 

Rogers 

RussellviUe 

Searcy 

Sherwood 

Springdale 

Stuttgart 

Texarkana 

Van Buren 

West Helena 

West Memphis 

CALIFORNIA 

Agoura Hills 

Alameda 

Albany 

Alhambra 

Anaheim 

Antioch 

Arcadia 

Areata 

Arroyo Grande 

Artesia 



11,610 
19,724 

267,642 
18,165 
12,220 
31,605 

951,717 

24,093 
118,306 

32,101 
145,280 
383,174 

52,171 



19,018 
11,526 
23,293 
16,995 
24,499 

25,816 
41,315 
13,962 
76,126 
11,384 

10,248 
38,046 
30,219 
31,001 
184,506 

11,895 
10,368 
64,760 
16,124 
62.528 

22,390 
20,185 
14,457 
15,746 
26,972 

10,480 
22,669 
13,402 
10,586 
28.368 



17,78S 
74,832 
15,805 
74,835 
251,045 

52,405 
49,835 
14,393 
14,466 
15,596 



1,454 
994 

17,523 

1.498 

458 

2,036 

87,080 

1,786 
7,002 
1,102 
11,577 
48,699 
4,990 



679 

495 

2,294 

1,273 
1,591 

1,327 
2,195 
1,767 
5,674 
309 

612 

3,760 

1,691 

2,571 

21,913 

137 
434 

6,693 
588 

4,234 

902 

1,427 
773 
577 

1,768 

322 

3,624 

726 

303 

2.142 



456 

4.479 

696 

4.452 

18.249 

3.803 

2,315 

804 

576 

621 



1,456 
1,004 

17,633 

1,501 

459 

2,046 

87,559 

1.799 
7,023 
1,107 
11,633 
48,955 
5.016 



680 

495 

2,312 

1,278 

1,591 

1,339 
2,198 
1,777 
5.714 
311 

612 

3.774 

1.696 

2.575 

22.058 

137 
438 

6.700 
599 

4.279 

905 
1.432 

777 

579 

1,773 

325 

3,629 

731 

303 

2,152 



476 
4.497 

696 
4.480 
18,320 

3.937 

2.320 

804 

580 

637 



106 



10 



119 
1 
1 
7 

445 

5 
24 

3 

51 

281 

21 



6 

32 

11 

11 

192 



30 



1 

20 

3 

26 

107 

21 
5 
6 
3 
3 



9 
10 

261 

22 

3 

10 
2,518 

4 
60 

8 
202 
768 

77 



4 
2 

30 
21 
16 

36 

13 

27 

110 

2 

7 

62 

12 

27 

811 



250 

3 

130 



15 
156 

33 
177 
620 

80 
85 

7 

4 

53 



57 
60 

1,005 
59 
10 
71 

5,408 

85 
153 

22 

451 

2,447 

462 



2 

7 

237 

439 

93 

85 

82 

299 

419 

5 

13 

171 

102 

46 

2,087 



14 
365 

23 
422 

2 
69 
34 
13 
49 



142 
15 



115 



41 
178 

41 
521 
696 

266 
95 
30 
23 

109 



342 
235 

3,240 

446 

270 

609 

20,841 

260 
1,214 

140 
1,659 
8,230 

924 



161 
81 
494 
151 
222 

341 

565 

383 

1,247 

35 

203 
826 
242 
541 
5,315 

89 
97 

1,450 
106 

1.240 

215 
319 
114 
84 
361 

58 
839 
261 

98 

627 



138 

836 

139 

1.046 

4,805 

938 
540 
167 
130 
148 



988 
640 

11.747 

829 

150 

1.261 

51,147 

1,378 
5,127 
868 
8,409 
34,878 
3,245 



447 
384 

1,446 
620 

1,164 

788 
1,374 

997 
3,468 

244 

363 

2,485 

1.240 

1.857 

12.340 

44 
288 

4.276 
402 

2,211 

632 
969 
585 
459 
1.233 

235 

2.449 

405 

173 

1.178 



215 
2.964 

387 
1.951 
9.344 

2.210 

1.239 

566 

389 

220 



47 
40 

1,140 

141 

24 

78 

6,615 

54 
416 

60 

796 

2,064 

256 



64 
21 
79 
32 
88 

65 
149 

47 
376 

23 

18 

176 

83 

85 

1,139 



22 
280 

47 
180 

40 
55 
33 
15 
102 

18 
96 

34 

27 

106 



46 

323 

92 

725 

2.658 

285 

351 

26 

27 

86 



72 



Bble 6.— Number of Offenses Known to the Police. Cities and Towns 10,000 and over in Population, 1988— Continued 



Cily by Stale 



CALIFORNIA— Continued 



Population 



21,814 
20,570 
37,319 
156,340 
65,805 

18,306 
21,799 
30,523 
38,550 
61,098 

25,378 
23,231 
107,267 
35,169 
18,694 

69,006 
93,030 
27,102 
19,039 
35,106 

10,238 
53,716 
12,191 
91.694 
21,937 

18,439 
59,688 
33.736 
54,717 
125,662 

36,170 
11.151 
42.539 
14,092 
31,637 

11,713 
97,633 
110,878 
50,229 
22,037 

92,052 
42,663 
21,848 
41,421 
39,198 

45,061 
85,660 
29,294 
42,883 
20.862 

11,668 
11,007 
89,116 
21,671 
19,689 

19,227 
89,308 



Crime 
Index 
total 



871 

1,194 

2,106 

15,728 

2,806 

1,498 
1,692 
1.527 
2,337 
3,242 

631 

718 

13,617 

2,317 

1,406 

3.958 
3,993 
1,283 
2,115 
1,974 

1,141 
3,310 
366 
4,807 
1,320 

1,649 
3,281 
3,463 
2,697 
10,727 

1,572 
824 
2,995 
1,006 
3,051 

2,223 
8,627 
7,073 
4,822 
870 

7,202 
2,705 
978 
2,815 
1,819 

2,113 
3,067 
692 
2,881 
1.676 

510 
493 

4.223 
934 
629 

1,998 
6,885 



Modified* 
Crime 
Index 
total 



878 

1,206 

2.120 

15,850 

2,836 

1,499 
1.703 
1.529 
2.346 
3,262 

631 

721 

13,684 

2,327 

1,414 

3,982 
4,117 
1,292 
2,116 
1,987 

1,143 
3,324 
378 
4,863 
1,323 

1,672 
3,293 
3.497 
2.722 
10,747 

1,575 
833 
3,010 
1,008 
3,061 

2,237 
8,649 
7,099 
4,863 
880 

7,221 
2,721 
980 
2,815 
1,859 

2,148 
3.074 
696 
2,910 
1,686 

511 
497 
4.273 
944 
632 

2.011 
6.918 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



II 

10 

103 

656 

181 

64 

51 

124 

161 

272 

II 

6 

613 

180 

37 

111 

162 

24 

62 

42 

20 

86 

9 

329 

30 

26 

141 

27 

54 

273 



Aggra- 
vated 
assault 



10 


76 


7 


4 


13 


43 


4 


21 


24 


97 


11 


71 


97 


1.224 


31 


113 


12 


115 


6 


7 


28 


132 


11 


107 


2 


80 


7 


250 


6 


31 


17 


67 


10 


92 


3 


7 


8 


24 


17 


72 


3 


8 


5 


4 


22 


262 


10 


40 


2 


6 


31 


141 


31 


132 



Burglary 



72 

178 

109 

1.012 

266 

179 
182 
176 
470 
551 

44 
21 

524 
93 

151 

332 

218 

33 

99 

135 

83 
206 

24 
611 
131 

90 
201 

116 
211 
746 

74 
61 
98 
135 
196 

131 

2,033 

329 

225 

26 

324 

164 

116 

34 

71 

87 

100 

5 

52 
145 

29 
64 
153 
95 
12 

272 
354 



Larceny- 
then 



194 

294 

552 

4,330 

1,214 

409 
356 
572 
677 
691 

133 
128 
2,840 
417 
410 

874 
762 
183 

475 
275 

272 

757 

78 

1,154 

399 

303 
643 
594 
716 
2,069 

424 
281 
697 
344 
809 

349 
1,770 
1,331 
1.385 

121 

1,393 
576 
340 
457 
268 

501 
370 
179 
475 
391 

108 
101 
863 
224 
101 

406 

1,453 



Motor 
vehicle 
theft 



532 
657 
988 
8,490 
466 

729 
955 
329 
692 
1,076 

374 

511 

8,280 

1,378 

720 

1,795 
1,858 
903 
1,130 
1,340 

722 
1,695 

225 
1,783 

551 

1,118 
1,723 
2,388 
1,379 
4,817 

796 
437 

i.894 
443 

1,485 

1,103 
1,820 
4,543 
2,358 
592 

4,465 
1.399 
244 
1.603 
1,342 

1,263 
2,140 

454 
2,156 

916 

333 
292 
2.043 
410 
451 

685 

3,448 



51 

42 

333 

1,148 

654 

114 
138 
304 
320 
619 

63 

50 

1,302 

238 

83 

828 
965 
132 
346 
159 

40 
545 

26 
886 
199 

101 
559 
320 
324 
2,769 

191 
33 

249 
58 

436 

556 
1,601 
721 
724 
117 

856 
447 
195 
461 
100 

177 
355 
44 
166 
133 

28 

26 

875 

153 

57 



1,461 



73 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1988 — Continued 



City by Stale 


1 

Population 


Crime 
Index 
total 


Modified* 
Crime 
Index 
total 


Murder 
and non- 
negligent 

man- 
slaugtiter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


Arson* 


CALIFORNIA— Continued 


29,053 
24,000 
100,859 

15,793 
88,346 
25,201 
72.830 
19,163 

59,647 

26,864 

57,763 

158,236 

294,695 

113,410 
51,431 

140,628 
28,301 

160,402 

42,997 
11.023 
11.362 
25,797 
13,027 

63,478 
104,598 
28,831 
11,069 
19,437 

11,177 
16,939 
191,487 
57,423 
31,577 

107,049 
92,230 
21,180 
23,561 
19,460 

50,223 
79.167 
54.815 
43.488 
66,318 

16,550 
35,461 
29,260 
27,611 
12,329 

55,421 
45,995 
13,068 
20.836 
31,829 

413,667 

12,389 

28,466 

3,402,342 


3,028 
1,882 
6.614 

1.131 
7.299 
2,752 
5,635 
582 

5,753 

773 

3,002 

6,468 

34,075 

7,270 
3,696 
9,993 
1,839 
8,641 

1,467 
389 
318 

1,521 
803 

4,944 

7,259 

2,935 

350 

989 

105 

900 

9,640 

4,166 

4,302 

7,833 

4,001 

475 

671 

1,235 

2,265 
3,849 
3,214 
1,172 
4,385 

538 
2.028 
1.060 
1.409 

589 

2,597 

3,775 

856 

686 

2,339 

34,661 

591 

652 

295,181 


3,046 
1,884 
6,680 

1,141 
7.336 
2.771 
5.663 
583 

5.789 

778 

3.012 

6.610 

34,270 

7,314 
3,715 
10,066 
1,870 
8,685 

1,478 
389 
320 

1.529 
807 

5.048 

7.332 

2.952 

353 

989 

105 

912 

9,672 

4,167 

4,321 

7,952 

4,070 

482 

674 

1,237 

2,275 
3,862 
3,218 
1,176 
4,403 

540 
2,042 
1.064 
1,416 

594 

2,609 

3,785 

858 

690 

2,361 

34,837 

596 

654 

300,731 




15 

7 

64 

4 
35 
17 
37 

2 

88 

2 

8 

24 

231 

46 
15 
51 
10 
32 

7 
1 
2 
6 
5 

36 

43 

8 

2 
5 

1 

8 

43 

11 

18 

92 
13 


50 

83 

513 

42 
132 

33 

111 

4 

166 

8 

74 

112 

1,393 

205 
490 

377 

37 

222 

44 

8 

5 

28 

50 

421 
214 

44 
6 

26 

2 

12 
154 
317 
138 

965 
39 
13 
18 
13 

67 

205 

70 

50 

132 

14 
185 

31 

119 

4 

21 
61 
29 
38 

27 

2,646 

16 

4 

26,182 


71 

88 

732 

68 
322 

85 
462 

50 

422 
42 
65 

694 
2,334 

281 
341 

473 
136 

222 

98 
49 
16 
113 
136 

312 

479 

326 

26 

56 

11 
170 
370 
357 
458 

746 
91 
41 
12 

77 

87 
402 

99 
113 
644 

29 
304 

46 
239 

25 

185 
154 

79 
103 

92 

2,231 

46 

58 

37,812 


735 

282 

1,538 

229 
1,489 
665 
980 
168 

1,297 

155 

467 

1,390 

7,632 

1,426 
857 

2,086 
430 

1,610 

377 
149 
130 
245 
166 

1,028 
1,586 

616 
70 

291 

31 
190 

2,377 
777 
826 

1,722 
886 
173 
184 
349 

435 
681 
724 
279 
1,046 

163 
474 
264 
412 
156 

459 
792 
318 
173 
515 

7,426 

150 

193 

50,988 


1.992 
1.204 
2,251 

610 

4,293 

1,798 

3,586 

323 

2,927 

526 

1,938 

3,715 

18,215 

4,274 
1,340 
5,405 
1,107 
4,919 

777 
135 
149 
1,063 
349 

2.096 

4.315 

1,628 

193 

440 

57 

488 

5,767 

1,193 

2,495 

2,432 

2,614 

201 

419 

662 

1,411 
1,706 
1,475 
528 
1,997 

217 
652 
611 
379 
369 

1,738 

2,503 

310 

276 

1,576 

16,201 

311 

371 

120,126 


165 

217 

1,508 

178 

1,022 

152 

456 

35 

849 
40 

449 

531 

4,231 

1,032 
650 

1,593 
117 

1,630 

164 
45 
16 
64 
93 

1,044 

614 

312 

53 

169 

3 

31 

924 

1,505 

366 

1,846 

357 

47 

35 

120 

254 
831 
838 
197 
522 

114 

395 

96 

253 
32 

175 
251 
119 
95 
112 

5,881 
66 

23 
57,331 


18 


El Cerrilo 


1 
8 


2 


El Monte 


66 


El Segundo 

Escondido 

Eureka 

Fairfield 


10 


6 

2 

3 


37 
19 
28 






Fontana 

Foster City 

Fountain Valley 

Fremont 


4 


36 

5 


1 

2 

39 

6 
3 
8 
2 
6 


10 
142 


Gardena 


195 

44 
19 


Garden Grove 

Gilroy 

Glendale 


73 
31 
44 


Glendora 


11 




2 






2 


Hanford 


2 
4 

7 
8 

1 


i 


Hawaiian Gardens 


4 


Hayward 


104- 

73 
17 


Hercules . 


3 




2 








HoUister 


! 

5 
6 

1 

30 

1 


12 




32 


Huntington Park 


1 


Indio 


19 


Inglewood 


119 


Irvine ... 


69 




7 


Lafayette 




3 
14 

9 
20 

7 

4 

40 

1 
12 
11 
4 
3 

18 

13 

1 


3 


Laguna Beach 




2 


U Habra 

Lakewood 


2 
4 
1 

1 
4 


10 

13 




4- 




4 


Lancaster 


181 


La Palma 


2 


La Puente 


6 
1 
3 


14t 


La Verne 


4t 




7 


Lemoore 


5 




1 
1 


12J 


Lodi 


10) 


Loma Linda 


21 




1 

3 

58 


4 




14 

218 

2 

2 

2,006 


22 


Long Beach 


1761 




5- 


Los Altos 


1 
736 


2 


Los Angeles 


5,550 



74 



ble 6.— Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1988— Continued 



City by Slate 



CALIFORNIA— Continued 



i Bancs 



i Gatos 

twood 

idera 

inhattan Beach 
inteca 



inna 

irtinez ... 
irysville . 
lywood . . 
mlo Park 



:rced . . . 
librae 
11 Valley 
Ipitas . . . 
odesto 



■jnrovia 

ontclair 

bntebello . . . 
lonterey 

onterey Park 



Draga 

ICrro Bay .... 
'Ountain View 

iipa 

'itional City .. 



«£wark 

Bwport Beach 

orwalk 

ovato 

dkdale 



ukland 
ceanside 
ntario . . 
range . . . 
rinda ... 



froville 

■xnard 

; ' acifica 

; acific Grove 
; aim Springs 



alo Alto 

alos Verdes Estates 

almdale 

aradtse 

aramount 



asadena . . . 
aso Robles 

erris 

'etaluma 
'ico Rivera 



Population 



'iedmont . . 

'inole 

'itlsburg . . . 
Macentia . . . 
'leasant Hill 



13.672 

28,548 
58,342 
26,548 
36,097 
37,761 

27,902 
28,719 
11,283 
27,109 
28,155 

48,553 
20,858 
13.254 
45.355 
139,986 

34,573 
27,482 
57,152 
30,895 
63,520 

15.829 
10.431 
62,698 
58,018 
60,685 

38,555 
69,600 
94,001 
47.010 
10.509 

367,782 
104,831 
123,062 
105,056 
18,069 

10,158 
132,961 
38,144 
16,897 
33,511 

57,517 
15,248 
28,539 
25,942 
44,626 

135,599 
14,800 
10,980 
40,453 
56,725 

10,735 
15,599 
43,146 
39,889 
29,796 



Crime 
Index 
total 



769 

1,064 
3,441 
1,582 
1,883 
2.400 

810 
1,396 
1,511 

960 
1,668 

3,633 
588 
469 

2,983 
10,426 

1,983 
2,921 
3,714 
2,384 
3,043 

214 

448 

4,157 

3,066 

5,687 

2,532 
4,111 
3,919 
1,36 
736 

46,615 

8,119 

8,976 

6,720 

327 

1,509 
7,816 
1,011 
632 
3,975 

3,814 
263 

2,735 
682 

3,044 

9,243 
873 
1,761 
1,929 
2,368 

335 

964 

2,939 

1,454 

1,974 



Modified" 
Crime 
Index 
total 



773 

1,092 
3.518 
1,590 
1,887 
2,414 

815 
1,401 
1,521 

966 
1.675 

3,645 

589 

474 

3,006 

10,474 

1,993 
2,928 
3,727 
2,386 
3,043 

218 

448 

4.180 

3,102 

5,703 

2.542 
4,13 
3,948 
1,378 
746 

46,986 

8,152 

9,244 

6,774 

331 

1,521 
7,854 
1,016 
633 
4,053 

3,823 
266 

2,757 
687 

3.067 

9,330 
876 
1,762 
1,952 
2,381 

343 

967 

2.961 

1,505 

1,984 



Murder 
and non- 
negligent 

man- 
slaughter 



10 



Forcible 
rape 



23 
61 

15 
23 
18 
19 
12 

1 

5 

21 

19 

30 

14 

17 

30 

5 

6 

498 

70 

53 

30 

1 

9 
81 

6 
10 

37 



Robbery 



17 

20 
479 
63 
52 
28 

10 

17 
40 
74 
36 

115 

17 

7 

43 

234 

92 
155 
192 

60 
234 

3 

7 

79 

31 

314 

38 

52 

260 

14 

9 

3,141 

317 

414 

194 

3 

31 

297 

8 

11 
106 

55 

2 

103 

5 

215 

600 
13 
61 

17 
131 

11 
35 
173 
32 
49 



Aggra- 
vated 
assault 



38 

37 

649 

264 

60 

90 

49 
51 
115 
74 
61 

146 

14 

19 

693 

580 

127 
163 
404 
159 
192 

4 

24 

144 

227 

429 

145 
158 
560 
68 
116 

2,298 

1,014 

782 

253 

6 

51 

378 

61 

57 

414 

29 

9 

472 

56 
459 

738 
34 
236 
108 
400 

5 

71 

323 

96 

46 



Burglary 



175 

186 
845 
402 
467 
549 

195 
316 
298 
175 
314 

765 
92 
93 

436 
2,067 

467 
567 
710 
466 
783 

65 

86 

499 

492 

967 

306 
1,074 
922 
355 
150 

10,962 

1,668 

2,279 

1,401 

94 

515 

1,867 

194 

128 

1,179 

573 
72 
689 
211 
661 

2,074 
257 
445 
395 
554 

71 
212 
960 
384 
393 



Larceny- 
theft 



502 

747 

853 

711 

1,048 

1,563 

506 
846 
913 
402 
1,083 

2,280 

399 

322 

1,555 

6,600 

1,025 
1,485 
1,528 
1,565 
1.044 

129 

311 

3.163 

2,075 

2,337 

1,864 

2,418 

1,412 

847 

414 

23.661 

3.862 

4.047 

3,931 

206 

740 

4,500 

608 

403 

1,844 

2,942 
153 

1,073 
374 

1,053 

4,431 
503 
804 

1,275 
796 

222 
529 

1,107 
763 

1,346 



Motor 
vehicle 
theft 



33 

63 
540 
130 

247 
153 

43 
159 
137 
222 
159 

301 
66 
26 

230 

877 

255 
528 
860 
115 
768 

12 

15 

248 

219 

1,605 

165 

392 

731 

71 

41 

5,943 

1,176 

1,392 

908 

17 

162 
682 
134 
23 
390 

206 
26 

370 
32 

620 

1,313 

56 

211 

125 

469 

26 
112 
335 
172 
132 



75 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1988 — Continued 



City by State 



Population 



Crime 
Index 
total 



Modified* 
Cnme 
Index 

total 



Murder 
and non- 
negligent 

man- 
slaugtiter 



Forcible 
rape 



Aggra- 
vated 
assault 



Burglarv 



Larceny- 
theft 



Motor 
vehicle 
theft 



r VLIFORNIA— Continued 



Pleasanton 

Pomona 

Pottei-ville 

Pot! Hueneme 

Rancho Cucamonga . 

Rancho Pales Verdes 

Red Bluff 

Redding 

Redlands 

Redondo Beach 



Redwood City 

Reedley 

Rialto 

Richmond 

Ridgecrest 



Riverside 

Rocklin 

Rohnetl Park 
Rosemead . . . 
Roseville 



Sacramento 

Salinas 

San Anselmo 
San Bernardino 
San Bruno 



San Carlos ... 
San Clemente 
San Diego ... 
San Dimas . . 
San Fernando 



San Francisco 

San Francisco State Police 

San Gabriel 

Sanger 

San Jacinto 



San Jose 

San Juan Capislrano 

San Leandro 

San Luis Obispo 

San Marino 



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



Santa Barbara . . 

Santa Clara 

Santa Cruz 

Santa Fe Springs 
Santa Maria 



Santa Monica 
Santa Paula . 
Santa Rosa .. 

Saratoga 

Seal Beach ... 



45.694 
120.610 
25,291 
21,036 
81,553 

48,582 
12,490 
53,416 
56,945 
66,630 

59,177 
13,997 
57,903 
81,458 
25,956 

212,616 
10,786 
32,491 
49.605 
31,420 

340,483 
99,720 
12,318 

149,220 
36,318 

26,472 
34,622 
1,073,466 
30,105 
21,170 

753,927 



Seaside 
Selma . 



34.500 
14,773 
12,212 

732,022 
23,985 
67,795 
38,902 
14,384 

83,616 
22,556 
45,992 
27,337 
246,925 

81,095 
91,041 
47,413 
16,013 
52,437 

97,278 
24,125 
102,391 
30,347 
28,021 

38,105 
13,831 



1,557 
9,093 
2,458 
621 
3,649 

932 

887 

4,543 

3,263 

3,828 

3,828 

786 

4,118 

11,872 

1 ,003 

17,953 

617 

1,774 

2,421 

2,621 

35,143 

7,864 

452 

17,572 
1,653 

782 

1,264 

96,756 

1,196 

1,289 

66,055 
272 

1,791 
540 

1,051 

38.406 

1,010 

4,848 

1,807 

312 

5,212 
3,664 
2,388 
1,000 
20,947 

4,898 
4,794 
4,639 
1,932 
4,695 

9,066 

1,118 

6,735 

556 

854 

2,698 
921 



1,581 
9,841 
2,460 
622 
3,670 

938 

889 

4,553 

3,304 

3,841 

3,842 

788 

4,137 

11.983 

1.047 

18,416 

625 

1.780 

2,442 

2,635 

35,383 

7,916 

458 

17,674 
1,656 

783 

1,278 

97,036 

1,206 

1,290 

66,431 

273 

1,805 

546 

1,059 

38,739 

1,031 

4,861 

1 ,8 1 3 

316 

5,241 
3,692 
2,398 
1,004 
21,154 

4,908 
4,819 
4,671 
1,937 
4,705 

9,221 

1,131 

6,778 

564 

868 

2,738 
925 



144 

1 
2 

92 



38 



6 
54 
10 

9 

25 

5 

2 

43 

16 

19 

31 
5 

16 

102 

II 

114 
5 

13 
18 
10 



54 

2 

81 
14 

2 
6 
389 
7 
6 

453 



14 
2 

7 

438 
8 
9 
15 



15 
745 
40 
34 
81 

18 
11 
78 
71 
150 

106 

19 

221 

631 

7 

750 
8 

15 
142 

51 

1,612 

217 

5 

1,130 

28 

5 

34 

3,204 

32 

94 

4,867 
15 
70 
14 
11 

948 
21 

180 

24 

9 

108 

142 

57 

9 

1,041 

149 
74 

100 
92 
79 

548 
51 

135 

4 

28 

129 
17 



41 

1,303 

146 

71 

286 

67 

63 

474 

172 

138 

395 

121 

263 

1,725 

80 

1,758 

33 

77 

346 

142 

1,714 

722 

20 

1,375 
173 

62 

34 

5,434 

185 

168 

4,255 

60 

98 

37 

140 

3,266 

89 

166 

75 

6 

963 
261 
154 

14 
853 

419 
244 
220 
143 
261 

485 
94 

214 
28 
86 

524 
150 



271 

2,138 

1,263 

135 

993 

328 
1.38 
1.195 
984 
884 

639 

111 

1,1.30 

2,639 

276 

4,746 
122 
617 
658 
512 

7,701 
1,468 

142 
4,226 

245 

177 
278 
17,536 
295 
230 

10,148 

53 

516 

90 

315 

6,560 

224 

983 

375 

99 

561 
636 
407 
184 
3,589 

1,057 
S68 
880 
354 

1,021 

1,459 
227 

1,498 
164 
224 

611 
130 



1,114 

3,446 

931 

320 

1,773 

452 

637 

2,449 

1,626 

2,011 

2,360 

493 

1,809 

5,434 

556 

8.500 
424 
947 
770 

1.690 

18,086 

4.975 

273 

8,340 

1,008 

484 
676 
45,923 
528 
520 

36,662 
139 
837 
337 
506 

23,118 

563 

3,107 

1.212 

184 

3,228 

2,130 

1,547 

749 

11,503 

2,859 
3,171 
3,159 
874 
3.046 

5.099 
652 

4,273 
345 
422 

1,231 
515 



108 

1,379 

64 

51 

486 

62 

36 

299 

391 

625 

297 
36 

672 

1,310 

73 

2,072 

25 

105 

484 

214 

5,774 

424 

10 

2,379 
184 

52 

236 

24,126 

148 

269 

9,578 

5 

256 

60 

72 

4,039 

103 

401 

104 

14 

324 

478 

206 

40 

3,834 

369 
390 

262 
464 
256 

1,398 

87 

565 

14 

89 

178 
106 



76 



able 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1988 — Continued 



City by State 



Population 



Crime 
Index 
total 



Modified* 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



CALIFORNIA— Continued 



■ierra Madre . . 

imi Valley 

outh El Monie 



outh Gate 

outh Lake Tahoe 

outh Pasadena 

outh San Francisco 
tanton 



itockton . . . . 
uisun City . 
unnyvale ... 
emple City 
brrance . . . . 



racy 

ulare 

urlock 

ustin 

win Cities 



ilkiah 

Inion City 

Ipland 

acaville . . 

allejo 



'entura 

'ictorville ... 

'isalia 

Valnut 

Valnut Creek 



Vatsonville 

Vest Covina 

Vest Hollywood . 

Vestminster 

Vest Sacramento 



Vhittier .. 
Voodland 
t'uba City 



COLORADO 



^rvada 

\urora 

3oulder . . . 
Brighton . . 
Broomfield 



Canon City 

Colorado Springs 
Commerce City 

Denver 

Durango 



Englewood 

Fort Collins ... 

Fountain 

Golden 

Grand Junction 



Greeley . . 
Lafayette . 
Lakewood 
Littleton . 



11,472 
94,271 
18,748 

84,116 
22,801 
24,698 
53,202 
29,075 

191,444 
17,924 

115,270 
32,444 

141,518 

27,418 
27,719 
35,760 
43,768 
20,122 

13,438 
52,268 
61,531 
58,168 
98,794 

89,726 
24.641 
63.613 
21,691 
61,360 

29,146 
101,141 
39,386 
76,368 
26,629 

75,848 
36,422 
22,287 



92,408 
219,404 
77,191 
14,617 
24,634 

13,824 
278,944 

17,221 
500,555 

13,116 

30,694 
76,077 
10,957 
14,807 
32,597 

56,898 

13,968 

123,622 

32,503 



171 
3,192 
1,425 

4,001 
1,637 
674 
2,158 
2,564 

20,796 

1,049 

4.113 

907 

7,143 

1,588 
1,397 
2,964 
3,717 
768 

1,210 
2,616 
3,337 
2,629 

8.778 

4,803 
3,193 
5.140 
788 
3,100 

3.026 
6,075 
3,846 
5,035 
2,902 

3.113 
2,268 
2,600 



3,424 

17,244 

5,501 

857 

1,123 

831 
22,174 

1,820 
41,501 

1,015 

3,352 

4,866 

468 

726 

2,315 

4,690 

528 

8,605 

1,683 



173 
3,235 
1,433 

4,018 
1,645 
681 
2,205 
2,615 

20,868 

1,052 

4,176 

907 

7,265 

1,597 
1,434 
3,055 
3,762 
773 

1,216 
2,645 
3,353 
2,642 
8.840 

4,849 
3,203 
5,161 
795 
3,123 

3,037 
6,174 
3,879 
5,042 
2,917 

3,125 
2,287 
2,607 



3,443 

17,325 

5,541 

865 

1,140 

848 
22,330 

1.831 
41.905 

1.019 

3,373 

4,887 

471 

738 

2,325 

4,743 

532 

8,670 

1,708 



69 



13 



33 
20 
2 
20 
10 

115 

6 

26 

4 

30 

7 

16 
15 
20 

5 



14 
127 

15 
8 
5 

2 
189 

2 
370 

5 

16 

38 

1 

1 

15 

32 



5 
51 

57 

358 
40 
31 
52 
86 

1,076 
26 

104 
26 

362 

12 
70 
33 
89 
10 

10 
94 
99 
65 
495 

139 

111 

133 

21 

37 

79 
261 
264 
166 
103 

100 
31 
29 



28 
462 

31 
5 
9 

6 

337 

19 

1,393 

9 

42 

16 

2 

1 

19 

36 

1 

157 

13 



191 

252 

92 

51 

120 

148 

818 
140 
134 
73 
380 

102 
118 
160 
471 
14 

41 
245 
122 
131 
643 

194 
380 
280 
73 
148 

200 
255 
328 
132 
385 

192 
173 
309 



306 

2,021 

135 

58 

69 

34 

757 

69 

1,802 

23 

135 

288 

18 

29 

66 

326 
104 

477 
23 



55 
836 
376 

1,094 
508 
201 
346 
721 

4,866 
274 
554 
271 

1,405 

282 
592 
733 
719 
184 

347 
745 
913 
472 
2,152 

1,157 
757 

1,181 
222 
633 

556 
1,134 
1,092 
1,030 

748 

830 
538 
423 



847 

3,495 

866 

159 

257 

163 
5,010 

325 

11,545 

139 

585 
869 
115 
135 
381 

902 

71 

1,799 

377 



82 

1,728 

493 

1,281 

902 

237 

1,329 

1,277 

11,974 
493 

2,877 
417 

3,700 

1,072 

473 

1,843 

1,980 

504 

753 
1,315 
1,791 
1,723 
4,247 

2,954 
1,488 
3,256 
345 
2,086 

1,982 
2,839 
1,415 
2,936 
1,326 

1,483 
1,311 
1,629 



2,059 

9,975 

4,190 

580 

731 

605 

14,222 

1,290 

21,344 

812 

2,332 

3,512 

298 

521 

1,747 

3,224 

340 

5,536 

1,173 



19 
374 
296 

976 
74 
152 
289 
319 

1,906 
108 
408 
115 

1,263 

112 
124 
179 
431 
51 

51 

201 

397 

215 

1,176 

327 
427 
269 
122 
182 

189 
1,558 
727 
745 
315 

494 
196 
191 



167 

1,149 

263 

43 

51 

20 

1,649 

115 

4,978 

27 

241 

142 

34 

39 

87 

167 
12 

601 
92 



77 



Table 6. — Number of OfTenses Known to the Police, Cities and Towns 10,000 and over in Population, 1988 — Continued 



City by Stale 



Population 



Crime 
Index 
total 



Modified* 
Crime 
index 
total 



Murder 
and non- 
negligcnt 

man- 
slaughter 



Forcible 
rape 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



COLORADO— Continued 

Longmont 

Loveland 

Norlhglenn 

Pueblo 

Sterling 

Thoinlon 

Westminster 

Wheat Ridge 

CONNECTICUT 

Ansonia 

Avon 

Berlin 

Bethel 

Bloomfield 

Branford 

Bridgeport 

Bristol 

Brookfield 

Cheshire 

Clinton 

Cromwell 

Danbury 

Darien 

Derby 

East Hartford 

East Haven Town 

Enfield 

Fairfield 

Farmington 

Glastonbury 

Greenwich 

Grolon 

Groton Town 

Guilford 

Hamden 

Hartford 

Madison Town 

Manchester 

Meriden 

Middletown 

Milford 

Monroe 

Naugatuck 

New Britain 

New Canaan 

New Haven 

Newinglon 

New London 

New Milford 

Newtown 

North Branford 

North Haven 

Norwalk 

Norwich 

Old Saybrook 



51,130 

36,437 
29,636 
101,288 
10,998 
50,264 

67,336 
30,415 



19,355 
1.3,792 
16,474 
17,525 
20,095 

25,749 
142,631 
60,307 
14,398 
24,607 

12,980 
11,421 
64,881 
18,168 
12,278 

49,645 
25,810 
43,875 
52,956 
18,244 

26,991 
58,587 
10,352 
40,244 
19,538 

52,710 
141,180 
16,000 
50,863 
59,472 

39,582 
50,222 
16,208 
31,112 
73,711 

17,757 
125,887 
29,744 
28,969 
22,124 

21,396 
12,839 
22,700 
77,640 
38,502 

10,138 



3,405 

1,577 
2,014 
7,975 
514 
3,140 

4,695 
2,007 



707 
338 
346 
287 
1,053 

728 

14,666 

1,763 

350 

444 

302 
348 
3,158 
515 
479 

2,797 
1,164 
2,058 
2,122 
864 

674 
1,638 

295 
1,416 

605 

2,697 

20,289 

314 

1,720 

2,611 

2,291 

2,554 

240 

656 

5,260 

355 

19,321 

900 

2,604 

499 

251 

257 

823 

5,803 

1,508 

424 



3,429 

1,586 
2,027 
8,038 
521 
3,162 

4,725 
2,027 



710 
338 
346 
289 
1,056 

729 

14,714 

1,765 

352 

452 

306 
349 
3,159 
515 
482 

2,798 
1,182 
2,095 
2,130 
864 

675 
1,646 

298 
1,418 

607 

2,710 

20,529 

315 

1,720 

2,643 

2,293 

2,578 

248 

669 

5,306 

355 

19,425 

904 

2,613 

501 

257 

261 

823 

5,811 

1,514 

425 



20 



2 
16 

2 

12 

160 

1 

14 

12 

10 
13 



1 
135 



20 

11 

25 

145 

1 

32 

53 
39 



32 
3 
1 

2 

26 

9 

1,046 

36 

3 

1 

1 

8 
56 

7 
7 

91 
16 
30 
41 



84 
1,328 



27 



34 

40 

3 

5 

232 

1 

1,325 

11 



3 

2 

23 

162 

25 



130 

108 

79 

909 

2 

17 

183 
76 



40 
5 
4 
3 

61 

3 

921 

158 

15 



15 
9 

58 
9 

35 

1,450 

14 

44 

37 

133 
13 
II 
47 

206 



1,474 
27 
126 
20 

5 

9 

12 

83 

67 



646 

233 

298 

1,545 

69 

765 

1,037 
424 



211 
64 
101 

76 
237 

126 

3,622 

466 

85 

144 

81 

68 

700 

103 

115 

619 
245 
414 
576 
138 

154 
202 
62 
206 
180 

519 

4,947 

90 

375 
782 

419 

410 

92 

138 

1,387 

72 

4,725 

151 

598 

144 

127 

81 

147 

1,309 

264 

61 



2,477 

1,134 
1,477 
4,962 
433 
2,051 

3,079 
1,349 



349 
254 
208 
189 
629 

497 

5.431 

983 

229 

272 

206 
240 
2,087 
354 
304 

1,710 

737 

1,358 

1,217 

632 

474 
1.272 

204 
1,062 

350 

1,705 
9,842 
191 
1,168 
1,464 

1,511 

1,574 

123 

413 

2,971 

258 
8,494 

671 
1,542 

282 

99 

142 

551 

3,527 

1.051 

340 



115 

80 

124 

337 

9 

253 

321 
110 



69 
12 
31 
14 
94 

93 

3,513 

116 

17 
27 

11 
28 
273 
48 
40 

315 
150 

228 

278 

78 

26 
129 
18 
68 
62 

338 

2,525 

18 

92 

225 

184 

503 

11 

52 
437 

23 

3,142 

40 

224 

50 

17 
23 
88 
696 
90 



78 



ble 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1988 — Continued 



City hy Stale 


Population 


Crime 
Index 
lolal 


Modified* 
Crime 
Index 
lolal 


Murder 
and non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglar. 


Lareeny- 
Ihefl 


Motor 
vehicle 
theft 


Arson* 


CONNECTICUT— Continued 

ange 


13,287 
13,835 
17.794 
11.297 

21,777 
16.187 
13,848 
35.030 
22,704 

39.956 
20.884 
101.630 
16.876 
50.644 

11,081 
31.667 
33,360 
29,312 
39,984 

104,319 
18.010 
20,015 
58,987 
54,332 

25,216 
26,511 
15,219 
16,057 
27,053 

12.145 
13.114 

23,536 
25,200 
72,630 

620,000 

86,621 
16,408 
43,661 
444,995 
46.264 

11,255 
19,708 
10,691 
28,870 
182.276 

11.547 
13.648 
17.312 


1,044 
167 
493 
219 

211 
536 
376 
598 
300 

1.081 

457 

6.596 

558 

2.227 

192 
990 

1.103 
911 

1.296 

8.999 

919 

556 

2.692 

2,922 

891 
731 
1,241 
180 
968 

365 
296 

2,285 
1.858 
6.567 

61,423 

9.284 

978 

2.115 

78,087 

4,771 

697 

2.998 

895 

4.189 

11,463 

1,388 
1,127 
1,381 


1.047 
169 
494 
221 

213 
553 
386 
601 
300 

1.087 
458 

6.638 
560 

2,247 

197 
996 

1.103 
918 

1.302 

9,029 

924 

556 

2,703 

2.954 

897 
737 
1,247 
180 
971 

367 
296 

2,290 
1,867 
6.652 

61.744 

980 

78.371 
4.785 

700 
3.006 

897 
4,204 
11,523 

1.131 
1.384 




8 

2 

1 


16 
2 

13 
2 

1 
10 

5 

7 


8 

3 

18 

5 

13 

5 

37 

4 

1 

44 

22 

302 

1 

22 


96 

45 
156 
65 

72 
116 

96 
153 

72 

308 

119 

1,458 

113 

476 

53 
128 
139 
208 
303 

2,426 
104 
124 
533 
740 

197 
97 

319 
45 

248 

43 
117 

398 

226 

1,683 

12,295 

3.456 

233 

822 

15.556 

1.846 

200 
791 
194 
883 
3.053 

310 
233 
269 


820 
95 

273 
136 

1 14 
351 
198 
333 
201 

647 
283 

3.811 
413 

1.255 

112 
677 
833 
586 
785 

5.102 

726 

382 

1,835 

1 ,436 

561 
495 
797 
124 
578 

253 
151 

1,620 
1,419 
3,442 

28.582 

4.493 

610 

888 

37.306 

2.233 

378 
1,474 

549 
2.320 
6.851 

804 

727 
863 


96 
20 
29 
10 

11 
53 
40 
96 
26 

60 
29 

802 
27 

402 

25 
92 

110 
62 

169 

905 

42 

33 

209 

524 

117 
75 
77 
11 
93 

50 
15 

86 
1 1 1 

582 

8.633 

354 

30 

128 

9.314 

260 

22 
191 

82 
588 
669 

44 
32 
56 


3 




2 


1 




2 






2 


cky HiU 




1 


17 






10 




2 


3 


3 








2 
1 
6 

1 
1 


6 

1 

13 


14 

2 

204 

3 

60 

1 
11 
11 
14 
11 

337 

11 

3 

83 

61 

7 

19 
29 


6 




1 




42 




-> 




11 

1 
16 

2 

5 
8 

28 
3 
4 
7 

13 


20 


field 


5 






66 

8 

36 

19 

190 
32 
10 

25 
147 

9 
40 
15 


6 












7 




1 

11 

1 


6 




30 


terford 


5 






St Hartford 




11 


. St Haven 


1 


32 




6 


■thersfield 


2 
2 


3 
2 


6 


llimantic 


6 


Iton 








6 
3 


22 

6 

7 

87 
21 

335 

5.689 

433 
30 
79 

5.972 
240 

17 
177 

23 
208 
449 

38 

35 

77 


21 

10 
6 

74 

69 

403 

5,690 

429 

70 

163 

9,001 

153 

77 
314 

40 
148 
354 

185 
90 
109 


3 






2 








DELAWARE 


1 


19 

12 

113 

165 

92 

5 

33 

721 

28 

3 
47 

6 
33 
66 

6 

7 
7 


5 


•wark 


9 


Iilmington 


9 
369 

27 


85 


DISTRICT OF COLUMBIA 


321 


FLORIDA' 
GEORGIA 




nericus 


2 




2 

217 

11 




, lama 


284 


igusla 


14 


inbndge 


3 




4 
1 

9 
21 

1 
3 


8 


irlersville 


T 


)llege Park 


15 


>Iumbus 


60 


)r(lele 






4 


llwblin 


3 


r 







; footnote at end of table. 



79 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1988 — 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 



GEORGIA— Continued 

East Point 

Fitzgerald 

Forest Park 

Gainesville 

Hinesville 

Jesup 

Lawrenceville 

Macon 

Marietta 

Milledgeville 

Moultrie 

Peachtree City 

Perry 

Rome 

Savannah 

Smyrna 

Snellville 

Statesboro 

Thomaston 

Thomasville 

Tifton 

Valdosta 

Warner Robins 

Waycross 

HAWAII 

Hilo 

Honolulu 

IDAHO 

Boise 

Caldwell 

Chubbuck 

Coeur D'Alene 

Idaho Falls 

Lewiston 

Moscow 

Nampa 

Pocatello 

Rexburg 

Twin Falls 

ILLINOIS' 

Addison 

Alsip 

Alton 

Arlington Heights 

Aurora 

Harrington 

Bartlett 

Batavia 

Belleville 

Bellwood 

Belvidere 

Bensenville 

Berwyn 

Bloomingdale 



39,686 
11,188 

18,641 

16,979 
16,071 
10,225 
17,239 

121,816 
45,856 
14,546 
16,199 
13,775 

11,218 
32,080 
151,288 
25,312 
14,051 

16,076 

10,232 
19,141 
14,585 
37,927 

47,037 
19,464 



39.358 
838,656 



109,484 
18,658 
12,077 
24,624 
43,693 

28,075 
17,679 
28,384 
44,630 
12,188 
27,509 



31,249 
18,116 
33,020 
69,820 
88,994 

10,305 
16,055 
14,431 
42,870 
21.619 

15,498 
16,225 
44,779 
13,843 



4,532 
699 

2,073 
1,900 
1,165 
275 
1,069 

10,541 

5,257 

1,279 

1,167 

457 

775 

2,408 

11,182 

3,139 

549 

1.022 

442 
1,667 
1,406 
3,768 

3,325 
1,717 



2,517 
49,469 



6,640 
1.356 
556 
1,752 
2,354 

1,724 
677 

2,363 

2,475 
660 

1,966 



699 
2,079 
1,165 



10,574 

5,275 

1,280 

1.168 

459 



2,421 
11,226 
3,145 



1,023 



3,336 



2,528 
49,798 



6,676 
1,362 
556 
1,755 
2,362 

1,738 
680 

2,386 

2,482 
660 

1,982 



11 
283 



262 

15 

106 

51 

15 

3 

17 

300 

146 

49 

52 



30 

76 

508 

102 

9 

24 

9 

63 

78 
95 

100 
71 



14 

833 



11 
25 
81 
14 
196 



289 
52 

97 
39 
61 
22 
47 

356 

246 

70 

78 

13 

87 

95 

347 

103 

6 

75 

16 

96 

139 

151 

232 
127 



49 

1.042 



294 
43 
17 
69 

103 

29 
18 
54 
112 
8 
92 



31 
29 
139 

33 
417 



1,161 
197 

434 
360 
181 
88 
234 

2.511 

1.108 

326 

379 

100 

134 

674 

2.836 

793 
81 

193 
112 
376 
329 
1.024 

816 

371 



446 
9.811 



1.638 

316 

28 

296 

366 

337 
98 

438 

369 
35 

346 



278 
192 
677 
501 
1.766 

29 
157 

93 
397 
246 

152 
178 
421 
113 



2.235 
401 

1.224 

1.315 

838 

150 

671 

6.645 

3.140 

783 

589 

327 

485 
1.385 
6.905 
1.864 

433 

696 

282 
1.049 

802 
2.318 

1.976 
1.098 



1.889 
34.227 



4.338 

913 

500 

1,305 

1,771 

1.271 
531 

1.736 

1.902 
607 

1.414 



949 

562 

1,746 

1.859 

4.333 

393 
449 
306 
1.191 
584 

570 
805 
994 
941 



548 
30 

201 

131 

57 

10 

94 

652 

567 

40 

54 

16 

35 
162 
473 
262 

19 

30 
19 

75 
46 
137 

175 
39 



102 

3.245 



273 
71 
10 
62 



74 
25 
107 
68 
9 
95 



87 
139 
110 
121 
296 

16 
16 
12 
80 
221 

29 
103 
354 

60 



See footnote at end of table. 



80 



I'able 6. — Number of Offenses Known lo the Police, Cities and Towns 10,000 and over in Population, 1988 — Continued 



City by Slate 



ILLINOIS"— Continued 

4oomington 

lue Island 

olingbrook 

ourbonnais 

radley 

ridgeview 

rookfield 

uffalo Grove 

urbank 

ahokia 

alumet City 

anion 

arhondale 

arol Stream 

j arpenlersville 

, enlralia 

i cntreviile 

hampaign 

harleston 

hicago 

* hicago Heights 

hicago Ridge 

\ icero 

ollinsville 

ounlry Club Hills 

restwood 

rystal Lake 

•anville 

"arien 

"ecatur 

'eeiileld 

le Kalb 

tes Plaines 

lixon 

>olton 

>owners Grove 

asi Moline 

ast Peoria 

ast Saint Louis 

dwardsville 

ffingham 

Igin 

Ik Grove Village 

Imhurst 

; -Imwood Park 

ivanston 

Evergreen Park 

"airview Heights 

, 'orest Park 

I 'ranklin Park 

1 Teeport 

ialesburg 

jeneva 

! jlendale Heights 

; Jlen Ellyn 

llijlenview 



Population 



46,508 

22,624 
38.196 
1 3,347 
10.921 
14,496 

18,923 
27,333 
28,384 
18,293 
39,616 

12,277 
24,089 
22,423 
26,026 
14,154 

10,138 
59,533 
18,724 
2,994,100 
35,358 

14,128 
61,284 
20,684 
15,361 
11,770 

21,019 
36,617 
16,683 
88,564 
17,461 

31,973 
55,882 
14,472 
23,787 
43,158 

20,328 
21,092 
49,505 
13,123 
11,464 

74,620 
32,055 
43,168 
23,101 
71,203 

20,902 
11,889 
15,212 
18,047 
25,639 

31.385 
11,355 
25,335 
25,192 
34,323 



Crime 
Index 
total 



Modified* 
Crime 
Index 
total 



Murdcf 
and non- 
negligent 

man- 
slaughtei 



660 



Forcible 
rape 



Robbery 



197 

3 

28,975 

127 

1 
98 
11 

2 
3 



85 

3 

183 

3 

12 

22 

2 

37 

17 



5 

549 

9 



120 
6 
12 
16 

165 

37 
11 
59 
17 
33 

21 
2 
4 
9 
5 



Aggra- 
vated 
assault 



159 

37 
42 
7 
20 
25 

5 
II 
59 
41 
51 

13 
52 
39 
69 
46 

48 

429 

21 

35,988 

303 

4 

207 

25 

21 

3 

10 

199 

4 

404 

3 

30 
51 
6 
29 
30 

52 
12 
1.540 
10 
12 

252 

32 

18 

6 

165 



Burglary 



735 

200 
303 
63 
129 
104 

78 

85 

161 

173 

398 

79 
421 
190 
224 
212 

100 

902 

99 

52.060 

417 

129 

767 

235 

96 

18 

56 

592 

40 

1.644 

26 

229 

309 

91 

227 
215 

231 

187 

1.958 

149 

149 

1,284 

275 

269 

93 

1,513 

101 
93 
142 
229 
247 

390 

82 

87 

137 

118 



Larceny- 
theft 



2,109 

679 
507 
260 
462 

711 

257 
577 
912 
791 
1.561 

294 
1.181 

714 
897 
704 

39 

3.122 

335 

128,584 

1.198 

859 
691 
669 
262 
94 

675 
1.880 

252 
4.063 

378 

1.174 
1.437 
322 
1,016 
1,223 

590 

640 

1,187 

388 

577 

2.861 
960 
872 
350 

3.339 

1.230 
966 
749 
682 

1,051 

1,350 
277 
605 
471 
678 



Motor 
vehicle 
theft 



97 

245 

107 

10 

33 

69 

24 
21 
78 
60 
702 

15 
68 
23 
50 
30 



281 

7 

45,012 

347 

123 

670 

88 

41 

56 

15 

85 

23 

163 

5 

52 
140 

15 
242 

83 

32 
19 
770 
25 
31 

219 
85 
126 
149 
354 

167 

65 

211 

108 

25 

43 
1 
25 
27 
57 



« tootnote at end of table. 



81 



Table 6. — Number of Oflenses Known to the Police, Cities and Towns 10,000 and over in Population, 1988 — 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 



ILLINOIS'— Continued 

Glenwood 

Granite City 

Hanover Park 

Harrisburg 

Harvey 

Hazel Crest 

Herrin 

Hickory Hills 

Highland Park 

Hinsdale 

HofTman Estates 

Homewood 

Jacksonville 

Joliet 

Justice 

Kankakee 

Kewanee 

La Grange 

La Grange Park 

Lake Forest 

Lake Zurich 

Lansing 

LibertyviUe 

Lincoln 

Lincolnwood 

Lisle 

Lockport 

Lombard 

Loves Park 

Machesney Park 

Macomb 

Marion 

Matteson 

Mattoon 

Maywood 

McHenry 

Melrose Park 

Midlothian 

Moline 

Morton 

Morton Grove 

Mount Prospect 

Mount Vernon 

Mundelein 

Naperville 

Niles 

Normal 

Norridge 

Northbrook 

North Chicago 

Northlake 

Oak Forest 

Oak Lawn 

Oak Park 

O'Fallon 

Orland Park 

Ottawa 



10,346 
35,214 
31,438 
10,512 
35,189 

13,709 
10,483 
14,187 
31,373 
16,295 

41,277 
18,873 
19,670 
77,277 
10,814 

27,074 
12,842 
15,192 
12,674 
16,619 

10,752 
28,762 
17,851 
15,278 
11,889 

16.357 
10,330 
38,567 
14,265 
20.891 

17,757 
14.426 
11,919 
19.012 
27.130 

13.921 
20.813 
14.366 
43.573 
13.299 

23,529 
54.350 
17.183 
18,374 
62,354 

29,329 
36,995 
15,540 
31,756 
44,308 

12,227 
24,891 
57,941 
54,042 
14,680 

29,100 
17,764 



13 



296 

14 
5 
2 
6 



15 
11 

17 
323 

5 



14 

32 

275 

3 



5 

75 

43 

5 

113 

26 

17 

8 

13 
10 

41 

6 

32 

618 

16 

359 

17 

26 

7 

1 

5 
17 

9 
16 

4 

6 

10 
48 
19 

17 

12 
16 
15 
8 
245 

5 
33 

4 
71 
11 

17 
40 
26 
16 

37 

17 
49 
20 



64 
480 
201 

95 
1.375 

117 
105 
37 
100 
119 

215 
62 

286 

1,725 

77 

830 

102 

116 

59 

20 

93 
174 

50 
159 

68 

79 

74 

287 

272 

299 

106 

208 

56 

67 

568 

45 
143 

89 
436 

39 

149 
299 
416 
88 
287 

123 
317 
58 
129 
688 

106 
210 
139 
1,159 
119 

87 
86 



290 

1,325 

857 

312 

1,980 

368 
269 
273 
626 
194 

968 
672 
828 
4,716 
280 

1,881 
464 
307 
122 
159 

321 
1,045 
502 
519 
326 

424 
315 
1.497 
926 
641 

472 
552 
822 
173 
1,070 

333 
847 
498 
1,555 
182 

620 

1,308 

862 

687 

1.571 

689 

1.087 

563 

704 

1,317 

299 

680 

1,349 

2,319 

254 



,143 
467 



See footnote at end of table. 



82 



Table 6.— Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1988— Continued 



City by Stale 



ILLINOIS^— Continued 

'alatine 

'alos Heights 

'alos Hills 

'ark Forest 

ark Ridge 

ekin 

eoria 

eru 

ontiac 

rospect Heights 

luincy 

.antoul 

jchton Park 

•iverdale 

.iver Forest 

.iver Grove 

ock Falls 

ockford 

ock Island 

oiling Meadows 

omeoville 

oselle 

.ound Lake Beach 

aint Charles '. 

auk Village 

chaumburg 

chiller Park 

I kokie 

I outh Holland 

pringfield 

terling 

; Ireamwood 

i treator 

i 

I ummil 

I 'aylorville 

r, inley Park 

( Irbana 

." 'emon Hills 

1 

'ilia Park 

^aukegan 

Westchester 

Vest Chicago 

Veslem Springs 

Vestmont 

Vheaton 

Vheeling 

Vilmetle 

Vinnetka 

Vood Dale 

Voodridge 

Vood River 

Voodstock 

i Vorth 

I ;ion 

INDIANA 

Underson 



Population 



39.308 
10,546 
16,883 

25.832 

37,229 

30,975 

108,841 

10.227 

10.995 
13.431 
39.236 
20,814 
10,207 

12,446 
11.640 
10,128 
10.570 
135.897 

42.809 
21.718 
15,433 
20,022 
14,271 

19,207 
10,805 
59,813 
11,272 
59,125 

23,360 
100.177 
15,469 
24,294 
13,791 

10,277 
12,691 
28,244 
35,984 
12,824 

22,200 
76,410 
17,192 
14,485 
12,416 

20.816 
48.460 
26.284 
26.762 
12.306 

11,522 
25.640 
12.072 
12.842 
11.770 
19.605 



61.5461 



Crime 
Index 
total 



3.883 



Modified* 
Crime 
Index 
total 



Murder 
and non- 
negligenl 

man- 
slaughter 



19 



3.9291 



Forcible 
rape 



39 



16 
4 
3 

17 

12 

7 

228 

1 

1 
7 
6 
11 



21 

29 

9 

2 

501 

55 
8 
5 
4 
3 



12 

7 

31 

26 

232 

5 

5 



37 



20 

178 

7 

2 



Aggra- 
vated 
assault 



19 

1 

14 

43 

15 

53 

1.019 



11 
16 
82 
20 
9 

48 

9 

11 

5 

655 

187 
25 
19 
14 
15 

22 
22 
58 
5 
49 

6 

588 

24 

20 

3 

20 
4 

26 

181 

5 

28 

228 

1 

12 

2 

22 
10 
37 
7 
13 

9 
51 
13 
1 

196 



239 



Burglary 



232 
12 
53 

184 

284 

296 

2.770 

37 

77 
162 
605 

87 

74 

223 

94 

67 

48 

4.051 

412 
206 
155 
96 
105 

146 
118 
610 
170 
378 

177 

1.842 

141 

238 

67 

70 
27 
158 
392 
61 

202 
896 

91 
120 

32 

117 
217 
172 
197 
67 

86 

244 

120 

39 

62 

267 



6771 



Larceny- 
theft 



1.030 
191 

245 

693 
620 
856 
5.878 
310 

319 
441 
1.867 
464 
288 

346 
298 
291 
196 

7.321 

1,855 
656 
467 
367 
486 

801 
403 

2,284 
418 

1,718 

482 

4,847 

536 

609 

99 

195 
119 

844 

1,264 

571 

930 
3,094 
276 
549 
140 

482 
772 
758 
511 
223 

292 
665 
536 
405 
214 
1.107 



2.590 



Motor 
vehicle 
theft 



49 
11 
46 

98 
71 
47 
413 
14 

20 
52 
41 
13 
59 

208 

64 

100 

8 

526 

81 
57 
33 
21 
24 

24 
31 

299 
81 

214 

136 

249 

12 

24 
13 

54 

4 

101 

55 

22 

97 

202 

37 

49 

3 

54 
30 
36 
21 
13 

41 
79 
29 
15 
21 
59 



258 



I <e footnote at end of table. 



83 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1988 — 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 



INDIANA— Continued 

Bedford 

Beech Grove 

Bloomington 

Carmel 

Clarksville 

Columbus 

Connersville 

Crawfordsville 

Crown Point 

East Chicago 

Elkhart 

Elwood 

Evansville 

Fort Wayne 

Frankfort 

Gary 

Goshen 

Greenfield 

Greenwood 

GrifTtth 

Hammond 

Highland 

Hobart 

Huntington 

Indianapolis 

JefFersonville 

Kokomo 

Lafayette 

La Porte 

Lebanon 

Logansporl 

Marion 

Martinsville 

Merrillville 

Michigan City 

Mishawaka 

Muncie 

Munsler 

New Albany 

New Castle 

Noblesville 

Plainfield 

Portage 

Richmond 

Schererville 

South Bend 

Speedway 

Terre Haute 

Valparaiso 

Wabash 

West Lafayette 

IOWA 

Ames 

Ankeny 

Bettendorf 

Boone 



14,011 
13,401 
53,901 
21,853 

14,709 
31,374 
16,539 
13,912 
16,265 

36,446 

45,531 

10,117 

129,798 

178,214 

15,386 
134,923 
22,023 
11,798 
23,864 

15,890 
85,201 
23,830 
21,838 
17,133 

483,187 
21,667 
45,537 
44,731 
21,581 

11,965 
17,625 
35,857 
12,308 
26,168 

35,373 
41,898 
72,929 
19,737 
38,149 

18,329 
15,911 
10,656 
28,643 
39,392 

14,114 
108,481 
12,690 
57,362 
22,455 

12,167 
21,344 



44,021 
16.911 
27,781 
12,092 



777 

460 

2,048 

922 

1,371 

2,275 

976 

763 

463 

2,047 

3,898 

571 

6,994 

16,620 

850 

9,364 

1,272 

574 

889 

729 
5,707 
1,122 

774 
658 

29,684 
956 

2,427 
2,477 
1,286 

513 
1,031 
1,301 

269 
1,246 

2,276 
3,326 
3,983 
774 
2,202 

745 

596 

292 

1.019 

1.912 

535 

11,415 

507 

2,987 

1,080 

264 
1,091 



1,645 
746 

1,310 
454 



779 

463 

2,055 

923 

1,372 

2,276 

982 

764 

463 

2.048 

3,930 

571 

7.059 

16,774 

854 

9,947 

1,289 

575 

890 

731 

5,795 

1,123 

777 

660 

29,915 

962 

2,438 

2,494 

1,286 

513 
1,031 
1,304 

1.249 

2,276 
3,345 
4,023 
775 
2,250 

748 

598 

295 

1,029 

1,930 

540 

11,451 

507 

3,033 

1,092 

267 
1,093 



1,651 
749 

1,319 
455 



5 
26 

3 
43 
79 

7 

104 

6 

5 



56 
2 
4 
1 

422 

12 

16 

4 

1 

4 
1 
1 



103 

2 

29 

5 

1 
3 



23 
11 
6 
3 

7 

72 

43 

1 

103 

597 

6 
536 

5 



238 

10 

9 

3 

1,464 

29 

25 

23 

4 



9 
30 

7 

351 

5 

31 

8 

5 
1 



14 

37 

125 

27 

64 
22 
60 
115 
56 

47 

27 

13 

503 

399 

57 

1,140 

4 

3 



42 
589 
25 
20 
18 

3,670 

15 

160 

29 

12 

1 

59 

184 

9 

78 

59 
136 
112 

50 
129 

41 
57 
10 
50 
33 

34 
255 

17 
179 

63 



96 

88 
326 
158 

143 

408 

170 

95 

73 

452 

745 

112 

1,677 

3,527 

136 
2,780 
136 
62 
105 

64 
1,064 
110 
136 
113 

7,714 
247 
481 
498 
176 

61 
90 

252 
28 

122 

574 

558 

1,197 

80 

346 

181 

102 

61 

211 

252 

67 

3,051 

40 

866 

181 

33 
115 



223 
77 

231 
40 



599 

297 

1,424 

713 

1,048 

1,739 

710 

521 

297 

1,024 

2,870 

415 

4,342 

11,053 

627 

2,529 

1,057 

492 

713 

507 
2,708 
781 
522 
498 

12,758 

570 

1,614 

1,801 

1,027 

421 
859 
810 

223 

757 

1,399 
2,371 
2,274 
588 
1,640 

470 
408 
206 
659 
1,481 

350 
7,096 

389 
1,598 

777 

200 
912 



1,302 
625 

1.003 
387 



84 



(ble 6.— Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1988— 


■Continued 








Cily by Slate 


Population 


Cnme 
Index 
total 


Modified- 
Crime 
Index 
total 


Murder 
and non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robber> 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


Arson* 


IOWA— Continued 


27,743 

32,724 
108,860 
29,681 
57,082 
98,226 

194,148 
59,425 
26,747 
12,207 
11,732 

50,775 
12,849 
20,663 
25,614 
29,761 

23,575 
14,797 
10,797 
24,819 
78.847 

10.668 
19.975 
69,007 
24,049 

13,008 
11.319 
10.015 
13,925 
13,113 

11,312 
24,570 
22.939 
16.716 
17,367 

41,480 
10,337 
20,652 
162,270 
58,676 

38,841 
16,902 
28,797 
16,540 
32,235 

12.151 
12.642 
16,448 
54,881 
10,942 

101,505 
12,853 
18,288 
25,053 
43.351 


1,953 

1.216 

7.647 
2.248 
4,616 
7,163 

19,196 

2,522 

2,032 

554 

387 

3,154 

842 

582 

1.285 

2.292 

1.118 

655 

553 

1,478 

6,898 

542 

897 

4,856 

1,785 

796 
466 
275 
938 
392 

504 
1,553 
2,296 

674 

745 

3.060 

669 

1,906 

16,913 

3,809 

1,832 
451 
1,398 
1,656 
1,685 

279 
790 
514 
3,049 
453 

5,371 
505 

1,352 
520 

2.292 


1.958 

1.220 
7,730 
2,249 
4,635 
7,246 

19,485 

2,571 

2,039 

555 

387 

3,213 

842 

586 

1.301 

2.304 

1.122 

656 

556 

1.483 

6,934 

542 

905 

4,883 

1,795 

17,044 
1,844 

3,067 
5,444 




4 

4 
6 

22 
75 

64 
8 

1 
1 


9 

3 

82 

16 

68 

129 

385 
16 
9 

2 

1 

21 
3 
4 
7 
6 

6 
1 
1 
8 
108 


171 

6 

69 

18 

181 

653 

988 

186 

115 

13 

12 

262 

79 

11 

111 

135 

14 
16 

38 

32 

379 

14 

42 

153 

19 

41 
16 

5 
45 
24 

12 
102 
125 

49 
9 

213 

40 

189 

1,338 

148 

111 
16 
40 
35 
81 

12 
46 
18 
185 
15 

167 
30 
48 
19 
39 


372 

212 
1,440 

387 
1,081 
1,708 

3,227 

361 

386 

88 

83 

493 
182 
106 
280 
362 

183 
113 
107 

372 
1.828 

58 

163 

1,396 

321 

183 
91 
63 

236 

77 

91 
305 
510 
146 
107 

655 
202 
263 
5,084 
756 

452 
135 
322 
454 
217 

42 
173 

82 
541 
123 

931 
95 

282 
153 
333 


1,314 

954 
5,687 
1,712 
2.954 
4.392 

13.711 

1,837 

1,430 

431 

284 

2,210 
535 
446 
852 

1,699 

850 
503 
389 
982 
4,200 

455 

651 

3,035 

1,381 

528 
347 
200 
625 

275 

378 

1,067 

1,556 

461 

611 

2.081 
397 
1,349 
8,057 
2,738 

1,170 

282 

934 

1,092 

1,331 

212 
510 
395 
2,111 
306 

3,865 
364 
979 
320 

1,848 


83 

36 
361 
113 
307 
204 

808 

114 

89 

19 

7 

124 
36 
11 
31 
86 

62 
19 
14 
78 
325 

15 

26 

114 

47 

32 
12 
4 
14 
13 

15 
45 
83 
15 
12 

70 

24 

50 

1,521 

129 

59 

17 
78 
52 
37 

9 

45 

13 

174 

2 

340 
12 
35 
26 
50 


5 


lar Falls 


1 
2 
2 
3 
2 

13 


4 


lar Rapids 


83 




1 


incil Bluffs 


19 


/enpon 


83 


, Moines 


289 




49 


t Dodge 


2 


7 




1 








a City 


1 


43 
7 
4 
4 
4 

2 
2 
3 
5 
57 


59 


ikuk 








4 


*shalltown 




16 






12 


1 icatine 


1 
1 

1 
1 

1 


4 




1 




3 


1 jmwa 


5 


IX City 


36 










8 

31 

1 

4 


7 

125 

15 

8 


8 


cerloo 


2 
1 


27 




10 


KANSAS 

. ansas City . . . 














1 
1 


2 

17 

3 

4 
19 
13 

1 
5 

25 

5 

33 

730 

24 

31 
1 
16 
14 
12 

2 
15 

4 
21 

3 

56 




Teyville 






•by 










4 

14 
8 
2 

1 

14 

1 

21 

146 

14 

9 






1 

1 




'den City 
















2 




! ependence 




V ction City 


1 

37 






131 






\ venworth 




12 








'• lexa . . . . , . . 




8 
9 

7 

2 

2 
15 
4 

11 
3 
5 
1 

12 




' eral 


















'. rriam . . . . 












1 the 


2 


18 


,' awa 




i' :rland Paric 


1 

1 


73 


1 sons 




Ksburg 


3 

1 
10 




Mrie Village 






ina 







85 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1988 — Continued 



See footnoie ai end of table. 



Cily by Slale 


Population 


Crime 
Index 
tolal 


Modified' 
Crime 
index 
total 


Murder 
and non- 
negligent 

inan- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


Arson* 


KANSAS— Continued 


31,805 
120,252 
292,733 

11,666 

238,297 
17,083 
56,724 
10,741 
20,144 

11,013 

37,615 
12,423 
86,215 
72,184 

11,477 
55,850 
15,192 
35,298 
538,047 

21,543 

217,495 

16,434 

11,778 

23,234 
21,287 
30,928 
10,683 
21,599 

18,373 
11,466 
39,601 
65,092 
10,645 

15,036 
20,190 
12,807 
22,455 
17,522 

15,902 
13,523 
12,324 

12,637 

34,728 

763,880 


1,526 

11,473 

23,652 

346 

28,419 

778 

4,256 

703 

1,865 

402 
1,943 

455 
7,804 
5,429 

785 

4,978 

809 

1,170 

52,460 

913 

23,040 

1,099 

417 

1,007 
1,295 
2,101 
464 
1,188 

530 

172 

3,009 

8,150 

284 

665 
660 
461 
1,638 
997 

721 
449 
215 

972 

2,611 

70,021 

1 

1 

931 
1,215 
2,647 


11,532 

28,589 

779 

4,268 

703 

406 
1,964 

7,827 
5.434 

786 

4,978 

810 

52,764 

913 

23,159 

1,099 

419 

1,008 
1,304 
2,111 
465 
1,200 

534 

174 

3,028 

8,254 

284 

670 

662 

461 

1,646 

1,002 

729 
459 
216 

988 

2,684 

70,723 

1 

1 

937 
1,217 
2,666 


1 

7 

15 


1 

55 

238 

1 

119 
3 
15 


20 

252 

628 

3 

776 
12 
47 
12 
99 

6 
62 

6 
192 
131 

16 
78 
18 

26 
4,729 

5 

802 

9 

19 

11 
8 

11 
1 

11 

1 


87 

574 

774 

7 

3,035 

77 

250 

84 

120 

14 
187 

87 
509 
309 

85 

783 

11 

6 

3,563 

52 

1,241 

49 

23 

1 
8 

22 
8 

39 

4 

10 

77 

486 

4 

3 
23 
11 
11 
20 

16 

7 
7 

126 

217 
6,574 

1 


357 
2,900 
5,671 

74 

7,042 

211 

685 

94 

539 

87 
412 

59 
2,136 
1,269 

123 

1,251 

280 

310 

12.322 

167 

6,287 

197 

114 

207 
229 
331 
61 
249 

68 

38 

809 

1,879 

59 

113 
128 
114 
200 

122 

142 

102 

50 

219 

651 

14,251 


988 

7,270 

14,916 

238 

15,269 

431 

3,037 

497 

863 

280 
1,188 

294 
4,652 
3.467 

518 

2.695 

465 

788 

21.534 

672 

13,689 

814 

225 

728 

1,009 

1,636 

363 

833 

431 

109 

1,893 

5,001 

207 

510 
466 
304 
1,319 
810 

503 
314 
138 

541 

1,476 

32,606 


72 

415 

1.410 

23 

2.154 

41 

217 

15 

239 

14 

65 

7 

266 

219 

38 

123 

31 

30 

9,681 

15 

848 

24 

31 

57 
33 
90 
29 
42 

23 

15 

167 

623 

11 

33 
29 
31 
97 
31 

52 
33 
18 

45 

152 

8,443 






5 


Wichita 




WinfielH 




KENTUCKY' 
LOUISIANA 


24 
3 

5 
1 


1'/ 








It 








5 

1 
23 

2 
40 
26 

5 

44 

4 

6 

403 

1 

144 

5 

4 

3 
8 
4 
2 
13 

3 










6 






9 

8 








4 




2> 
1 




4 

228 

1 

29 

1 

1 


New Orleans 










MAINE 








7 






1 




Gorham 




3 

4 


14 

37 
") 

2 
8 


46 
120 

1 

4 
6 
1 
8 
6 

7 
2 

1 

30 

105 

7,396 


1 




1 










5 






! 








South Portland 




3 

7 

1 


i 


Waterville 


1 


5 




8 




1 





York 


1 

9 
6 

517 


1 


MARYLAND 


4 
234 


6 








'- 


















1 

544 

871 

1,557 


20 
43 
109 






11,337 
23,853 
36,063 


1 
1 
2 


5 

8 

13 


30 

8 

88 


98 

40 

351 


233 
244 
527 








Frederick 





86 



-Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1988 — Continued 



City by Slale 



Population 



Crime 
Index 
total 



Modined* 
Cnmc 
Index 
total 



Murder 
and non- 
ncgligent 

man- 
slaughter 



Forcible 
rape 



Aggra- 
vated 
assault 



Burglar> 



Larcenv- 
theft 



Motor 
vehicle 
theft 



MARYLAND— Continued 

mbelt 

srstown 

tsville 

el 

bury 

ima Park(Montgomery County) . 

ima Park(Prince Georges County) 
minster 

MASSACHUSETTS 



16.609 


1.195 


34,995 


1,561 


11.832 


702 


12.576 


1,198 


18.587 


2,499 


10.720 


507 


4.343 


360 


10,899 


735 



17.480 
27,208 
14,854 
32,118 
44,683 

10,933 
34,591 
14,705 
37,368 
12,583 

14,452 
25,208 
37,164 
38,516 

579,921 
16.067 
35.232 
18.591 
94,741 

32.049 
12.546 
1 3.994 
1 3.948 
12.947 

18.916 
36.603 
89,595 
39.375 
18.578 

28.371 
13.253 
10.072 
48.863 
19.853 

13.867 
13.077 
17,682 
11,809 
28,824 

16,427 
18,794 
11,407 
53,892 
14,784 

31,414 
22,386 
10,776 



415 
785 
295 
775 
743 

362 
1,528 

497 
3.309 

254 

256 
410 
750 
955 

66,578 
884 

1,866 
387 

7,605 

681 

357 
835 
125 
422 

290 
1,338 
8,308 
2,119 

634 

688 

37 

380 

3,332 

482 

159 
111 
312 
334 
435 

329 
347 
246 
2,389 
505 

502 
610 
175 



1,587 



2,513 



764 



415 
786 
297 

775 
747 

366 
1,552 

499 
3,310 

260 

325 
415 
750 
956 



1,885 

387 

7,707 

681 
357 
837 
126 
426 

292 
1,370 

8,525 

2,123 

650 

692 

37 

396 

3,332 

482 

159 

111 
316 
336 

437 

329 

347 
246 



508 
617 
179 



93 



558 

2 

5 

1 

46 



42 
104 

27 
22 
12 



23 
7 

27 
5 

2 
2 
10 
6 

5.233 

2 

26 

2 

355 

7 
1 
3 



180 

48 

4 



38 
99 

19 

44 

173 

21 



17 
59 
10 
20 

47 

13 

57 

4 

413 

16 

22 

21 

130 

50 

6,291 

62 

168 

46 

608 

14 
78 
40 

4 
17 



HI 
402 

272 
74 

149 

1 

29 

444 

6 

13 



23 
25 
52 

11 

20 

5 

420 

61 

29 

18 

3 



181 
326 

124 
262 
516 
143 
88 
112 



70 
184 
124 
140 
220 

106 
473 

66 
872 

30 

77 
118 
158 
218 

9.163 

245 

280 

86 

1,913 

112 
83 

350 
42 
83 

90 

177 

1,997 

534 

171 

172 
16 
125 
974 
121 

34 
36 
91 
67 
99 

72 
90 
86 
446 
97 

95 

134 

19 



714 
976 

394 
673 
1,577 
265 
187 
558 



281 
417 
114 
535 
367 

213 
766 
363 
1,704 
175 

133 
223 
348 
521 

28,542 

497 

874 

198 

2,994 

455 
163 
406 
72 
303 

131 

651 

4,146 

1,032 

330 

267 

18 

205 

1.125 

310 

104 
69 
162 
231 
269 

235 
192 
122 
931 
279 

272 
406 
146 



225 
110 

135 
171 
110 
43 
53 
19 



43 
116 
40 
70 
96 

24 
199 

57 

278 

23 

21 

46 

84 

154 

16.698 

76 

513 

54 

1.684 

89 

27 

35 

2 

15 

57 

374 

1,549 

203 

44 

79 

2 

20 

730 

43 



5 
30 
10 

15 

6 

39 

32 

535 

61 

92 

45 

7 



87 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1988 — Continued 



City by Slate 



Population 



Crime 
Index 
total 



Modified* 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larcenv- 
theft 



Motor 
vehicle 
theft 



MASSACHUSETTS— Continued 

Medford 

Melrose 

Methuen 

Middleboro 

Milford 

Milton 

New Bedford 

North Adams 

North Andover 

Northboro 

Northbridge 

Norton 

Norwood 

Oxford 

Peabody 

Pembroke 

Quincy 

Reading 

Revere 

Salem 

Saugus 

Seekonk 

Sharon 

Shrewsbury 

Somerville 

Southbridge 

South Hadley 

Spencer 

Springfield 

Stoneham 

Stoughton 

Sudbury 

Swampscott 

Swansea 

Taunton 

Wakefield 

Walpole 

Waltham 

Wareham 

Watertown 

Webster 

Westboro 

Westford 

Weston 

Westport 

West Springfield 

Westwood 

Weymouth 

Wilbraham 

Wilmington 

Winchester 

Wobum 

Worchester 

Yarmouth 



57,256 
29,006 

39,666 
17,572 
24,438 
25,899 
95,570 

16,860 
22,502 
11,417 
12.546 
13,585 

28,662 
12,436 
46,530 
14,675 
83,864 

22,719 
43,988 
38,240 
25,988 
12,594 

14,889 
22,753 
72,822 
16,661 
16,158 

11,639 
149,842 
22,719 
27,616 
14,246 

13,397 
15,646 
45,342 
25,359 
20,028 

57,518 
20,529 
33,137 
15,220 
13,323 

15,324 
10,780 
13,882 
26,877 

12,777 

55,333 
12,456 
17,661 
20,271 
37,660 

159,124 
20,225 



1,890 
506 

2,067 
591 
360 
650 

8,470 

804 
571 
197 
187 

327 

547 
239 

2,270 
383 

3,318 

184 
2,935 
1,445 
1,954 
1,199 

228 
657 
2,780 
215 
226 

148 
12,009 
450 
558 
237 

453 
745 
1,652 
344 
478 

2,140 

1,523 

1,518 

218 

453 

419 
101 
489 
2,516 
264 

1,506 
336 
304 
229 

1,219 

12,036 
1,271 



1,907 
507 

2,103 
599 
364 
656 

8,624 

805 
571 
197 
191 
330 

566 

239 
2,280 

383 
3,358 

184 
2,942 
1,450 
1,988 
1,199 

228 
662 
2,812 
215 
228 

148 
12,203 
450 
559 
239 

454 
799 
1,667 
345 
499 

2,140 

1,524 

1,522 

220 

453 

425 

104 

491 

2,549 

274 

1,518 
336 
304 
230 

1,244 

12,289 
1,281 



10 



130 

2 



22 



34 
6 

23 
3 
3 

13 
324 

5 
6 
1 



68 

38 

24 

5 

4 
5 
126 
4 
2 

1 

638 

8 

10 



214 

11 



45 
809 

132 

31 

4 

19 

43 

37 
36 
73 
27 
308 

7 

222 

78 

88 

14 

15 
61 
174 
33 
18 



1,818 
4 
18 
6 

33 
35 
133 
10 
33 

65 
84 
117 
21 
17 

11 
1 

36 

129 

1 

144 
9 

2 



10 



422 
3 



80 



940 

73 



349 
120 

352 

104 

81 

188 

2,352 

167 
68 
61 
33 

114 

101 

81 
482 

72 
787 

47 
614 
387 
313 
123 

67 

105 

537 

78 

61 

49 
3,694 
91 
78 
32 

84 
119 
512 
102 
119 

561 

441 

165 

94 

79 

95 

22 
141 
410 

67 

385 
75 
49 
60 

187 

3,378 
431 



907 
291 

952 
358 
187 
294 
3,350 

449 
330 
113 
112 
143 

243 

98 

1,416 

246 
1,542 

97 

671 

658 

1,071 

919 

120 
429 
956 
59 
126 

80 

3,892 

217 

340 

174 

295 
351 
721 
161 
252 

1,237 

893 

982 

73 

287 

284 

77 

233 

1,572 

162 

705 
219 
189 
139 
630 

6,022 
693 



88 






lie 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1988 — Continued 



Cny by Slate 



Population 



Crime 
Index 
total 



Modilied* 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Larccnv- 
theft 



Motor 
vehicle 
theft 



MICHIGAN 

ian 

ion 

n Park 

ena 

1 Arbor 

mm Hills 

tie Creek 

City 

ton Harbor 

.ton Township 

Wtely 

rien Springs-Oronoko 

erly Hills 

Rapids 

ningham 

;kman Township 

komfleld Township 

|lgeport Township 

iwnstown Township 

■ma Vista Charter Township 

Iton 

lillac 

iton Township 

:sterfield Township 

wson 

)-Vienna 

.ison Township 

irbom 

irbom Heights 

:roit 

V. itt Township 

.1 Detroit 

it Grand Rapids 

it Lansing 

imelt Township 

I :anaba 

il rmington 

rmington Hills 

1 mdale 

nt 

nt Township 

jser 

irden City 

inesee Township 

and Blanc Township 

and Haven 

■and Rapids 

1 "een Oak Township 

I 'esse Pointe Park 

'osse Pointe Woods 

imburg Township 

impton Township 

imtramck 

arper Woods 

azel Park 

highland Park 

koUand 



20,759 
10,506 
31,144 
11.487 
109.724 

16,468 
54.950 
40.1.13 
14.419 
18.014 

17.981 
11.904 
11,198 
13,738 
21,140 

19,098 
44,824 
13,045 
17,528 
11,105 

29.755 
10.706 
60.547 
21.386 
14.513 

15,635 
13,896 
86,459 
61,878 
1.086.714 

10,861 

36,022 
12.010 
48,960 
11,095 

13,834 
10.416 
67,251 
25,803 
147.247 

34,680 
14,186 
32,864 
24,344 
25,871 

12,754 
190,343 
11,618 
14.236 
16,447 

12,310 
10,786 
18,698 
14,717 
20,791 

25,632 
29,866 



1,284 
533 

1.161 
669 

9.518 

1.028 
5.490 
2.343 
2,490 
2.859 

457 
288 
285 
689 
872 

551 

1,653 

448 

860 

1,229 

2.216 

717 

2.630 

1,052 

459 

688 

501 

8.216 

3.373 

131,334 

271 
2.395 

415 
1,925 

607 

839 

493 

3.072 

1,968 

21,239 

2,368 

699 

1,438 

1,225 



667 
15.637 
239 
636 
408 

281 

387 

2.549 

2,163 

2,132 

3.668 
2.024 



1.286 
534 

1.163 
680 

9.556 

1,039 
5.525 
2.352 
2.532 
2.877 

461 
290 
292 
691 
873 

555 

1,657 

449 

863 

1,237 

2.231 

724 

2.648 

462 

691 

502 

8.231 

3.382 

133,022 

279 
2.412 

1,940 
614 

839 

495 

3.084 

1.976 

21.570 

2,380 

703 

1.444 

1,239 

872 

671 
15.797 
243 
638 
408 

283 

387 

2,572 

2.166 

2.141 

3.677 
2.033 



3 

1 

629 



44 



24 



4 
16 
9 
3 

5 

4 

17 

7 

1.447 



3 

1 
32 
13 

275 

15 
1 

5 
7 
1 

1 

307 

2 



9 

3 

29 

1 

213 

31 

193 

35 

74 
49 



25 



1 

218 

98 

12,978 

3 
68 

4 
29 

5 

1 

4 

27 

94 

1,177 

83 
10 
22 
32 



1 

498 

1 

32 
7 

3 

5 

156 

49 

66 

343 
11 



23 

33 

36 

9 

596 

79 
456 
137 
559 
175 

22 
24 
10 
12 
18 

14 
50 
26 
78 
143 

127 
11 
65 
20 
20 

42 

8 

220 

150 

10.751 



6 

12 
121 

122 
2.528 

80 
31 
67 
124 
56 

13 
1.488 

7 
2 
4 

12 

8 

238 

23 
258 

497 
105 



166 
137 
245 
117 
1.671 

245 
1.586 
345 
696 
699 

47 
59 
55 
72 
124 

54 
235 

84 
198 
306 

372 
83 
361 
226 
104 

132 
110 
919 
690 
32,147 

52 
376 
130 
228 
173 

126 

69 

721 

341 

6,046 

325 
118 
283 
281 
154 

74 

3,728 

75 

100 

40 

84 

51 

551 

108 

311 

7.36 
329 



1,048 
348 
624 
515 

6.523 

548 
3.030 
1.729 
1.028 
1,788 

330 
184 
189 
573 
643 

450 
1,145 
310 
416 
691 

1.456 
583 

1,876 
704 
294 

469 

339 

5.347 

1.893 

43.259 

184 
1.458 

266 
1.408 

366 

676 

363 

1.754 

1.124 

8.783 

1.635 
483 
936 
690 
585 

550 
8.347 
131 
404 
304 

163 

310 

963 

1.617 

1.187 

1.294 
1,487 



38 
11 

227 

17 

449 

117 
183 
64 
77 
118 

48 
15 
26 
22 
68 

22 
193 

13 
155 

41 

175 
27 

265 
80 
31 

32 

39 

1,492 

534 

30.123 

16 
382 

11 
199 

26 

27 

44 

417 

274 

2.386 

228 
55 

125 
89 
63 



1,245 
23 
98 
53 

11 

10 

612 

364 

304 

716 
70 



89 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1988 — 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- 
theft 



MICHIGAN— Continued 

Jackson 

Kalamazoo 

Kentwood 

Lansing 

Lansing Township 

Lincoln Park 

Livonia 

Madison Heights 

Marquette 

Melvindale 

Midland 

Monroe 

Mount Clemens 

Mount Morris Township 

Mount Pleasant 

Mundy Township 

Muskegon 

Muskegon Township 

Niles 

Niles Township 

Northville Township 

Norton Shores 

Novi 

Oak Park 

Oscoda-Ausable Township 

Owosso 

Pittsfield Township 

Pontiac 

Portage 

Port Huron 

River Rouge 

Riverview 

Romulus 

Roseville 

Royal Oak 

Saginaw 

Saginaw Township 

Saint Clair Shores 

Sault Sainte Marie 

Shelby Township 

Southfield 

Southgate 

Sterling Heights 

Summit Township 

Sumpter Township 

Taylor 

Thomas Township 

Traverse City 

Trenton 

Troy 

Van Buren Township 

Walker 

Warren 

Waterford Township 

Wayne 

West BloomTield Township 

Westland 



38,021 
78,360 
36,481 

131,239 
10,459 
42,869 

100,586 
34,521 

21,270 
11,155 
36,730 
22,420 
19,796 

27,135 
21,884 
10,953 
40,295 
14,434 

12,729 
12,485 
14,416 
21,975 
28,809 

32,030 
14,241 
15,746 
12,742 
73,107 

41,021 
34,600 
11,355 
14,006 
24.111 

53,121 
68,125 

73,227 
37,467 
73,953 

14,112 
43,777 
75,042 
30,403 
114,838 

21,535 
11,345 
72,473 
11.276 
16,468 

21,179 
69,237 
19,098 
16,551 
153,650 

66,438 
21,010 
48.231 
81.227 



4,069 
8,661 

2,247 

10,506 

691 

3,183 

4,664 

2,534 

975 
1,027 
1,386 
1,269 
1,588 

1,734 
925 
382 

5,031 
793 

848 
267 
555 
728 
1,843 

2,391 

370 

935 

1,401 

9,025 

2,178 
2.047 
1,145 
292 
2,308 

4,527 
3,635 
8,086 
1,759 
3.410 

733 
1,605 
7,402 
1,850 
5,253 

461 
377 

5,129 
179 

1,056 

528 

4,286 

730 

905 

9,443 

4,253 
1,628 
1.059 

4,535 



4,109 
8,748 
2,253 

10,603 
694 
3,199 
4,688 
2,553 

981 
1,029 
1,402 
1,279 
1,614 

1,746 
929 
383 

5,074 
795 

853 
269 
562 
734 
1,846 

2,399 

372 

942 

1.406 

9,109 

2,189 
2,057 
1,162 
292 
2.331 

4,535 
3,651 
8,253 
1,763 
3,425 

740 
1.613 
7,412 
1,860 
5,292 

462 

386 

5,159 

1,059 

531 

4,308 

733 

907 

9,518 

4,274 
1,646 
1,066 
4,576 



75 

116 

10 

136 
6 
18 
14 



132 

7 
12 
10 

1 
25 

18 
21 
165 
10 
10 

7 

4 

29 

10 

37 

5 

5 

41 



128 

289 

28 

398 
40 
65 
91 
55 

7 
18 

4 
23 
84 

85 
4 
7 

73 
5 

12 
7 
3 
7 

13 

84 

1 

2 

29 

493 

15 
27 
52 
3 
49 

71 
74 
348 
15 
56 

10 
12 
225 
36 
51 



102 



40 



4 

47 

■ 7 

6 

258 

72 

38 

5 

112 



559 

1,182 

81 

1,057 

26 

114 

183 

104 

28 
21 
33 

103 
155 

133 
22 
13 

994 
3 

43 
7 
7 

18 
25 

198 

29 

56 

67 

1,877 

47 
94 

110 
3 

194 

113 

132 

1,135 

61 

80 

33 
57 

372 
58 

237 

17 

49 

219 

4 

49 

27 
91 
51 
15 
378 

195 
87 
35 

204 



853 

1,600 

288 

2,309 
153 
526 
885 
443 

95 
246 
164 
195 
368 

491 
109 
67 
990 
164 

132 
36 
91 
96 

255 

392 

88 

191 

197 

2,331 

268 
442 
293 
57 
415 

617 
685 
2.510 
241 
630 

139 
303 
1,181 
164 
881 

116 
94 

781 
19 

192 

125 

683 

92 

119 

1.737 

747 
354 
222 
994 



2.204 
5.107 
1,721 

5,910 
427 
2,003 
2,649 
1,486 

799 
587 
1,150 
850 
864 

754 
756 
273 
2,825 
606 

587 
193 
399 
584 
1,378 

1,160 
238 
653 
947 

3,243 

1,786 

1,385 

519 

213 

1,297 

3,193 
2,300 
3,572 
1.346 
2,184 

501 
1.044 
3.782 
1,242 
3.370 

301 
175 
2,991 
151 
769 

309 

2,877 
447 
712 

4.968 

2.875 
879 
722 

2.518 



90 



lie 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1988 — Continued 



City b> State 



Population 



Crime 
Index 
total 



Modified* 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larcenv- 
ihefl 



Motor 
vehicle 
theft 



MICHIGAN— ConHnued 

ile Lake Township 



Ddhaven 
indotte . 
^mitig 
lanti ... 



MINNESOTA 



en Lea . . 

lover 

ka 

lie Valley 

tin 



lidji 

ne 

Dminglon — 

inerd 

oklyn Center 

oklyn Park .. 

nsville 

implin 

iska 

quel 



umbia Heights 

m Rapids 

;tage Grove 

■stal 

luth 



san 

;n Prairie 

ma 

rmonl . . . 
ribault 



rgus Falls .. 

dley 

ilden Valley 

m Lake 

.stings 



bbing 

ipkins 

itchinson 

^er Grove Heights 
keville 



ankato 

aple Grove 
aplewood . 

arshall 

inneapolis 
innetonka . 
oorhead . . . 



I ounds View 
ew Brighton 
EW Hope . . . 

ew Ulm 

onhfield . . . 



orth Mankato . . 
orth Saint Paul 
akdale 



23,702 

11,176 
31,364 
63,696 
23,541 



18,248 
11,173 
16,135 
30,093 
21,749 

10,981 
36,120 
87,639 
11,874 

32,545 

54,736 
43,293 
12,675 
10,216 
10,563 

20,196 
45,331 
21,925 
25,196 
82,809 

34,276 
26,412 
47,357 
11,477 
16,561 

12,124 
30,812 
23,387 
10,386 
15,110 

19,129 
14.770 
10,429 
20,307 
20,137 

28,701 
30,818 
32,518 
11,063 

364,745 
45,312 
28,704 

14,288 
22,203 
23,316 
13,357 
13,485 

10,197 
11,168 
16,124 



856 

520 
1,313 
3,516 
1,957 



645 
515 
971 
731 
1.053 

1,350 

2,328 

3,509 

921 

2,426 

3,275 

2,591 

514 

453 

578 

1,055 

2,467 

889 

795 

4,976 

1.105 
1,356 
1,736 
424 
1.037 

505 
1,644 
979 
341 
463 

280 
854 
582 
798 
721 

1,910 
890 

1,933 

340 

40,004 

1,055 

1,608 

478 
759 
722 
357 
358 

214 
477 
568 



863 

526 
1,317 
3,537 
1,963 



650 
528 
975 
743 
1,053 

1,356 
2,331 

3,522 

925 

2,428 

3,.305 

2,594 

517 

457 

581 

1,060 

2,472 

894 

804 

5,037 

1,109 
1,369 
1,740 
424 
1.046 

506 
1,650 
983 
350 
464 



862 
584 
815 
732 

1,920 
895 

1,946 

341 

40,274 

1,055 

1,615 

486 
762 
727 
358 
361 

214 
479 
573 



55 



3 

6 

2 

460 

2 
5 

4 
1 

1 



2,565 
5 
2 

4 
13 
6 



53 



11 

7 

88 

207 



15 

4 

13 

21 

23 

68 
40 
51 

47 
34 

173 

28 

9 

14 

24 

19 
27 
28 
28 
152 

27 
26 

17 

2 

24 



37 
15 

4 
9 

3 
21 
16 
31 
18 

30 
16 
33 
15 
2,420 
15 
26 

15 
10 
16 
II 

7 

4 

8 

29 



182 



91 
179 
224 
133 
139 

131 
292 
578 
160 
390 

737 
419 
132 
120 
90 

222 
405 
130 
156 
945 

217 
205 
315 

42 
259 

89 
237 
247 
122 

69 

33 
136 

58 
149 
175 

319 
216 
306 
33 
9,386 
169 
191 

53 

137 

142 

75 

46 

18 
105 
128 



571 



59 


365 


207 


970 


668 


2.421 


284 


1.135 



501 
276 
661 
546 
825 

1,073 
1.848 
2,497 
657 
1,746 

2,031 

2,001 

337 

285 

420 

738 

1,897 

678 

546 

3,532 

781 
1.068 
1,288 

362 

672 

395 
1,236 
619 
180 
338 

228 
612 
488 
546 
479 

1,491 
615 

1,426 

274 

20,004 

817 

1,320 

363 
536 
499 

260 
270 

187 
330 

375 



37 

78 
101 
258 
184 



36 
52 
62 
28 

52 

71 
124 
324 

42 
223 

269 

126 

25 

29 

36 

57 

122 

34 

48 

271 

56 
49 
102 
16 
66 

9 

110 

84 

30 

41 

14 
65 
19 
57 
48 

55 
38 
139 
16 
5,114 
47 
64 

38 
62 
57 
11 
32 

5 
32 

31 



91 



Table 6. — Number of OfTenses Known to the Police, Cities and Towns 10,000 and over in Population, 1988 — Continued 



Cily by Slate 



Population 



Crime 
Index 
total 



Modified* 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Aggra- 
vated 
assault 



Burglary' 



Larceny- 
theft 



Motor 
vehicle 
iheft 



MINNESOTA— Continued 

Owatonna 

Plymouth 

Prior Lake 

Ramsey 

Red Wing 

Richfield 

Robbinsdale 

Rochester 

Roseville 

Saint Cloud 

Saint Louis Park 

Saint Paul : 

Shakopee 

Shoreview 

South Lake Minnetonka 

South Saint Paul 

Stillwater 

Vadnais Heights 

West Saint Paul 

White Bear Lake 

Wilimar 

Winona 

Woodbury 

MISSISSIPPI 

Bay Saint Louis 

Clarksdale 

Clinton 

Columbus 

Corinth 

Greenville 

Greenwood 

Gulfport 

Jackson 

Laurel 

Long Beach 

McComb 

Meridian 

Moss Point 

Natchez 

Ocean Springs 

Pascagoula 

Pearl 

Picayune 

Starkville 

Tupelo 

Vicksburg 

Yazoo City 

MISSOURI 

Arnold 

uallwin 

Bellefontaine Neighbors 

Belton 

Berkeley 

Blue Springs 

Bridgeton 



18,459 
47.622 

10,268 
12,694 
14,297 
36,817 
14,218 

59,139 
34,458 
44,022 
44,596 
267,945 

11,446 
24,582 
10,288 
21,951 
1 3,407 

10,314 
19,870 
24,165 
16,286 
24,276 
18,219 



10,626 
20,838 
18,463 
28,125 
12,539 

39,863 
19,453 
43,597 
206,993 
20,319 

16,922 
12,175 
42,894 
19,336 
21,402 

17,642 
30,934 
22,256 
11,546 
16,464 

26,226 
25,687 
12,559 



710 
1,587 

358 
471 
609 
1,620 
763 

3,203 

2,122 

2,622 

2,100 

20,512 

687 
448 
259 
738 
504 

241 
1,123 

896 

960 
1,553 

609 



394 
974 
633 
1,438 
375 

4,198 
1,607 
4,728 
16,467 
1,925 

710 
1,045 
2,915 

788 
1.920 

821 

3.127 

527 

679 

1.082 

1.268 

1.299 

955 



20,730 


822 


13,918 


416 


11,752 


335 


15,430 


644 


17,106 


806 


33,549 


1.852 


18,635 


1.468 



714 
1,599 

358 
473 
610 
1,630 
763 

3,208 

2,124 

2,632 

2,110 

20,776 

689 
449 
260 

742 
505 

241 
1,125 

902 

966 
1,563 

616 



394 
980 
636 
1,449 
376 

4,218 
1,638 
4,744 
16,591 
1,933 

711 
1,045 
2,921 

788 
1.928 



3,133 
528 
680 

1.084 

1.268 

1.300 

957 



827 
416 
335 
649 
816 



1.475 



3 

12 
3 

10 

5 

237 

3 
2 
1 
1 
3 

1 
2 
1 

9 
1 
1 



30 

15 

24 

153 

7 

3 

7 

1! 

13 

14 

6 
30 

2 

3 
5 



2 
6 

2 
2 
4 
34 
16 

15 
26 
11 
13 
787 



5 

110 

23 

III 

631 

37 



13 

59 
12 
26 

6 
119 



12 
53 
12 

47 
22 
47 
48 
1.427 

24 

1 

3 

31 

16 

1 
22 
26 
35 
13 
11 



17 
37 

8 
20 

I 

82 

21 

286 

822 

II 

53 

155 

56 

36 

118 

20 

400 

15 

38 



26 

109 

38 



134 
352 

68 
126 

98 
388 
134 

541 
308 
365 
340 
5.160 

104 
104 

46 
158 

66 

42 
159 
233 
117 
163 
178 



109 
546 
166 
347 
130 

2.064 

527 

1.546 

5,517 

438 

212 
285 
883 
391 
483 

150 
840 
148 
187 
188 

171 
405 
311 



527 
1,027 

255 
304 
459 
973 
534 

2,489 
1,635 
2,069 
1,550 
11,096 

489 
320 
185 
492 
385 

176 
830 
572 
764 
1,323 
393 



252 
329 
438 
994 
202 

1.830 
958 
2.515 
8.431 
1.390 

411 
561 

1,745 
306 

1.218 

587 

1,628 

326 

419 

757 

1.006 
711 
553 



23 


153 


597 


7 


84 


305 


2 


49 


253 


40 


76 


478 


42 


271 


365 


24 


346 


1.376 


26 


261 


1.032 



92 



'ble 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1988 — 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 



MISSOURI— Continued 



pe Girardeau 

Tthage 

lyton 



lumbia 

•sstwood 

:elsior Springs 

.-guson 

irissant 



I Iton . . . . 
idstone . 
andview 
nnibal .. 
zelwood 



iependence 
ferson City 

inings 

Dlin 

nsas City 



rksville ... 
rlcwood . . . 

banon 

es Summit 
iplewood . 



arshall 

aryland Heights 

exico 

oberly 

Fallon 



verland 

jplar Bluff 

lytown 

ichmond Heights 
olla 



lint Charles 
lint Joseph 
lint Louis . 
lint Peters 
-■dalia 



ikeston 

pringfield 

niversity City 
/arrensburg . . . 

Washington 

■'ebster Groves 



MONTANA 



iUings 

ireat Falls 



NEBRASKA 



dliance . . 
lealrice . . 
lellevue 
-olumbus 
"remont 



jrand Island 
Hastings 



34,659 
11,395 
13,827 

64,183 
12,238 
11,237 
24,203 
59,762 

10,371 
28.507 
25,291 
18,672 
16,671 

114,035 
36,926 
17,501 
40,782 

447,461 

15,855 
27,765 
10,509 
36,416 
10,092 

12,588 
27,999 
11,736 
13,153 
12,925 

18,959 
17,086 
31,146 
10,932 
13.253 

44,891 
74,159 
425,187 
29,164 
20,278 

17,552 
141,762 
42,788 
12,854 
10,508 
23,413 



78,490 
55,982 



10.308 
12.124 
32.741 
18,815 
23,812 

39,104 
22,713 



1,976 
455 
846 

4,213 
418 
546 
743 

1.362 

378 
889 
1.758 
911 
819 

7.506 
1.624 
1.239 
3.538 
53.487 

758 
899 
633 
1,261 
597 

378 
1,289 
213 
681 
674 

1,062 

1,221 

1,299 

753 

618 

2,170 
4,206 
57,215 
1,250 
1,017 

861 

11,277 

2,449 

1.030 

465 

497 



5.943 
4.651 



320 
411 
1.332 
759 
907 

2,899 

851 



1,981 
461 



4,249 
419 
561 

1,369 

378 
905 
1,771 
912 
823 

7,558 
1,634 
1,246 
3,555 
54,075 

759 
899 
634 
1,278 
600 

379 
1,295 
216 
683 
676 

1,066 

1.233 

1.301 

753 

619 

2.191 
4.222 
57.872 
1.252 
1.020 



11,385 

2,458 

1,037 

467 

498 



5,968 
4,674 



322 
412 
1,334 
760 
907 

2,899 

854 



1 
134 



2 

1 

140 



5 
6 
9 

3 

5 
9 
5 
4 

25 

12 

4 

17 

473 

1 

2 
2 
6 
5 



3 

2 
4 
4 
4 

13 

11 

305 

3 

2 

3 
67 
17 
5 
3 
3 



12 

48 

2 

17 

118 

27 

37 

42 

3,479 

1 
II 
2 
6 
10 

3 
12 
2 
3 

2 

24 

9 

34 

17 

4 

34 

36 

3,327 

24 

3 

11 

137 

102 

5 

3 



10 
15 
18 

154 
2 
14 
13 

41 

73 
32 
70 
43 
10 

326 

74 

43 

135 

4,230 

21 
15 
15 
25 
14 

5 
37 

4 
41 
55 

22 
56 
46 
16 
10 

108 

246 

6,709 

25 

33 

29 
305 
93 
15 
64 
24 



311 
103 
188 

740 
79 
116 
256 
248 

48 
172 
431 
183 
132 

1,879 

261 

222 

665 

13,409 

110 
205 
141 
312 
112 

82 
271 

53 
135 
112 

169 

281 
225 
107 
119 

496 
991 
12,541 
248 
193 

170 
2,274 
764 
253 
64 
109 



1,088 

772 



54 

67 

158 

134 

122 

683 
136 



1,565 
322 
598 

3,097 
293 
381 
354 
970 

240 
593 
1,039 
648 
587 

4,568 

1,164 

824 

2,520 

24,578 

604 
635 
416 
825 
415 

272 
910 
149 
472 
482 

799 
826 
868 
563 
465 

1,389 

2,713 

26,735 

898 

751 

615 
8,045 
1,242 
724 
318 
336 



4,476 
3,581 



243 

329 

1,105 

584 

737 

2,080 
671 



62 

15 
22 

151 
26 
26 
76 
74 

14 

75 

156 

30 

69 

586 

84 

109 

158 

7,184 

20 
31 
57 
87 
41 

13 
51 
5 
25 
23 

44 
46 
119 
46 
16 

128 

208 

7,458 

52 

34 

32 
444 
228 
28 
13 
17 



246 
154 



93 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1988 — Continued 



City by Stale 



Population 



Crime 
Index 
total 



Modified* 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
Ihefl 



Motor 
vehicle 
theft 



NEBRASKA— Continued 

Kearney 

La Vista 

Lincoln 

Noifolk 

North Platte 

Omaha 

Papillion 

Scottsbluff 

NEVADA 

Boulder City 

Henderson 

Las Vegas Metropolitan Police Depart- 
ment Jurisdiction 

Reno 

Sparks 

NEW HAMPSHIRE 

Bedford 

Claremont 

Concord 

Derry 

Dover 

Exeter 

GofTstown 

Hampton 

Hanover 

Hudson 

Keene 

Laconia 

Lebanon 

Londonderry 

Manchester 

Merrimack 

Nashua 

Portsmouth 

Rochester 

Salem 

Somersworth 

NEW JERSEY 

Aberdeen Township 

Asbury Park 

Atlantic City 

Bamegal Township 

Bayonne 

Belleville 

Bellmawr 

Bergenfield 

Berkeley Heights 

Berkeley Township 

Bernards Township 

Bloomfield 

Brick Township 

Bridgeton 

Bridgewater Township 

Brigantine 

Burlington 



22,804 

11,144 

185,247 

20,345 
22,317 
377,958 
11,287 
14,308 



12,502 
52,038 

510,941 

120,076 

56,521 



12,350 
15,219 
35,344 
26,002 
25,536 

13,102 
14,406 
12,569 
10,193 
18,317 

23,633 
17,786 
12,163 
17,772 
103,659 

20,480 
81,528 
27,755 
25,106 
26,943 
11,591 



19.349 
16,660 
36,739 
10,205 
62,617 

36,185 
13,781 
25,120 
12,771 
32,960 

15,849 
48,094 
62,800 
19,046 
29,981 

10,007 
10,545 



1,200 

316 

13,188 

1,202 

1,447 

23,944 

199 

1,140 



213 
1,846 

37,461 

10,673 

3,622 



546 
619 
1,734 
903 
879 

307 
367 
898 
257 
539 

1,009 

912 

496 

602 

7,024 

436 
3,223 
1,365 
1,111 
1,375 

454 



657 

1,300 

15,287 

282 
1,820 

1,811 
328 
599 
156 
795 

283 
2,376 
2,320 
1,57 5 

837 



514 
579 



1,203 

316 

13,226 

1,203 

1,449 

24,092 

199 

1,142 



218 
1,855 

37,833 
10,754 



550 

625 

1.749 

936 



311 

368 
906 
259 

542 

1,033 
930 
499 
625 

7,067 

440 
3,233 
1,375 
1,119 
1,384 

460 



666 
1,304 

15.377 

288 

1.834 

1,831 
328 
600 
156 
807 

285 
2,389 
2,335 
1,599 

840 

516 
595 



28 



1 

3 

70 

1 
9 

216 
2 
9 



363 
151 
44 



I 

1 

86 

3 
2 
710 
2 
10 



4 
38 

1,887 
464 
107 



10 

71 

551 

1 

62 

47 
2 

16 
1 



17 

682 

40 

36 

1,820 

3 

34 



3 
44 

1,720 
530 
328 



16 
32 
23 
31 
73 

7 

15 

135 

50 

15 

6 



39 

162 

464 

9 

144 

89 
17 
24 
1 
20 

13 
56 
49 
239 
12 

24 
34 



217 

39 

2.115 

114 

248 

4.580 

27 

155 



46 

524 

8.965 

2.266 

699 



102 
108 
327 
238 
82 

43 
44 

217 
35 

139 

139 

212 

78 

93 

1.742 

113 
532 
166 
198 
193 
65 



110 

275 

1.476 

37 

292 

264 
14 

111 
34 

201 

59 
390 
494 
318 
149 

115 

75 



912 

265 

9,761 

998 

1,090 

15,185 

163 

879 



149 
1,047 

20,341 
6,471 
2,242 



399 
445 
1,276 
502 
744 

202 

278 
529 
215 

325 

801 
592 
377 
436 
4,593 

286 
2,348 
972 
752 
895 
348 



415 

634 

12.194 

221 

1.038 

056 
260 
396 
108 
502 

174 

1.094 

1.575 

845 

580 

324 
377 



94 



ible 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1988 — 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 JERSEY— Continued 



iflington Township 

nmden 

uteret 



idar Grove Towtiship 

lerry Hill 

innaminson Township 

lark 

lifTside Park 



Plifton 

Dllingswood 

ranford Township 
elran Township .. 
enville Township 



epiford Township 

over 

over Township 

umont 

ast Brunswick Township 



asl Orange 

ast Windsor Township 

atontown 

dison 

gg Harbor Township . 



lizabeth 

Imwood Park 

.nglewood 

:vesham Township 
iwing Township . . 



'air Lawn 

•airview 

Horham Park 

"ort Lee 

-ranklin Township (Gloucester County) 

-ranklin Township (Somerset County) . 

-reehold 

Freehold Township 

3alloway Township 

Garfield 



Glassboro 

Glen Rock 

Gloucester City 

Gloucester Township 
Hackensack 



Haddonfield 

Haddon Township 

Hamilton Township (Mercer County) . 
Hamilton Township (Atlantic County) 
Hammonton 



Hanover Township 

Harrison 

Hashrouck Heights 

Hawthorne 

Hazlel Township 

Highland Park 

Hillsborough Township 

Hillsdale 

Hillside Township 



11,835 
83.WJ 
19,881 

12.697 
73.452 
15.945 
16,372 
20.657 

77.374 
15.644 
24.106 
14.514 
14.309 

24.905 
14.500 
73.811 
17.912 
42.980 

78.142 
23.246 
13.816 
83.609 
22.617 

106.883 
17,991 
23,373 
29,149 
36,120 

31,231 
10,293 
10,563 
32,500 
14,358 

36,928 
10,388 
21,772 
18,430 
26,308 

14,611 
10.992 
13,426 
51,180 
35,764 

12,362 
16,142 
89,238 
12,692 
12,559 

12,013 
12,414 
11,701 
18,850 
23,793 

13,325 
24,119 
10,334 
21,448 



623 

11,320 

572 

526 
4,003 
394 
339 
526 

3.184 
668 
527 
412 
349 

1,600 
584 

3,601 
278 

1,756 

7,447 
698 
1,100 
3,025 
1,515 

10,241 
895 

1,526 
735 

1,704 

950 
458 
190 
1.316 
398 

1.766 
526 
715 
824 
461 

790 

112 

388 

1,794 

2,466 

430 

641 

3,219 

1,074 

415 

218 
700 
528 
438 
393 

368 

334 

151 

1,809 



629 

11,480 

573 

530 
4,014 
398 
342 
528 

3,194 
674 
527 
416 
349 

1,623 
585 

3.616 
280 

1.765 

7.553 
700 
1.103 
3.045 
1.537 

10.287 
899 

1.534 
736 

1.716 

952 
462 
190 
1,317 
405 

1,776 
527 
720 
835 
465 

794 

112 

388 

1,807 

2.470 

432 

648 

3,242 

1,077 

422 

218 
701 
528 
438 
400 

368 

339 

153 

1,818 



15 



122 
3 

1 
7 
4 



7 

37 

4 

6 

100 
4 



9 

1,233 

17 



23 
6 

23 
1 

12 

752 
8 

10 
35 

22 

751 

19 

70 

3 

33 

15 
9 



110 



26 

994 

40 

57 
62 
20 



77 

26 

4 

10 

37 

46 

22 

113 

4 

37 

519 
12 
16 
71 
83 

525 
22 
90 
II 
35 

17 

8 

6 

40 

26 

55 
60 
16 
39 
16 



95 

2.512 
152 

134 

686 

68 

41 

101 

485 
119 

47 
75 
45 

205 
94 

853 
48 

213 

1,681 
123 
118 
475 
378 

1,569 
145 
380 
112 
362 

178 

85 

33 

187 

106 

373 
75 
77 

255 
76 

144 

36 

86 

338 

189 

56 

119 

869 

243 

70 

37 
83 
78 
75 
70 

86 

80 

35 

299 



449 

3,964 

275 

286 
2,620 
235 
246 
318 

1.932 
424 
391 
285 
242 

1,019 
376 

2,276 
202 

1,286 

2.029 
490 
841 

1,929 
903 

4,282 
584 
823 
550 
966 

654 
279 
126 
891 
206 

1,171 
318 
546 
4gg 

254 

533 
60 

231 
1.151 
1.813 

350 
447 
1.889 
659 
283 

155 
317 
365 
285 
242 

256 
227 
105 
770 



40 

2,464 

84 

40 
553 
54 
42 
88 

604 
78 
80 
31 
23 

297 
77 

299 
19 

202 

2.351 

61 

115 

506 

120 

3,052 

122 

160 

57 

300 

84 
76 
21 
172 
51 

120 
38 
70 
34 

106 

48 

11 

49 

169 

379 

20 

48 

320 

101 

35 

21 
269 
73 
62 
50 

19 
9 
6 

535 



95 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1988 — Continued 



City by State 



Population 



Crime 
Index 
total 



Modined' 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larcenv- 
theft 



Motor 
vehicle 
theft 



NEW JERSEY— Continued 

Hoboken 

Holmdel Township 

Hopatcong 

Hopewell Township 

Howell Township 

Irvington 

Jackson Township 

JefTerson Township 

Jersey City 

Keansburg 

Keamy 

Lacey Township 

Lakewood 

Lawrence Township 

Lincoln Park 

Linden 

Lindenwold 

Little Egg Harbor Township 

Little Falls Township 

Livingston 

Lodi 

Long Branch 

Lower Township 

Lyndhurst Township 

Madison 

Mahwah Township 

Manalapan Township 

Manchester Township 

Manville 

Maple Shade Township 

Maplewood Township 

Marlboro 

Medford Township 

Metuchen 

Middlesex 

Middle Township 

Middlelown Township 

Millbum Township 

Millville 

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

Montclair 

Montville Township 

Mooreslown Township 

Morristown 

Morris Township 

Mount Holly 

Mount Laurel Township 

Mount Olive Township 

Neptune Township 

Newark 

New Brunswick 

New Milford 

New Providence 

North Arlington 

North Bergen Township 



41,462 

10,963 
15,381 
11,397 
33,073 
62,790 

29,066 
16,907 
218,492 
10,839 
34,773 

19,222 
41,171 
23,871 
10,049 
37,819 

18,685 
10,897 
12,392 
28,756 
22,873 

30,281 
20,104 
19.908 

15,447 
14,497 

26,021 
34,994 
11,248 
20,157 
22,972 

26,339 
20,664 
13,357 
13,529 
13,228 

71,196 
19,672 
25,910 
23,568 
20,156 

38,849 
15,497 
16,056 
16,876 
19,848 

11,022 
25,039 
19,546 
29,808 
319,191 

40,954 
16,294 
12,239 
15,955 
47.126 



2.396 

260 
297 
196 
938 

7,157 

1,300 

476 

20,532 

382 

2,361 

479 
2,656 
2,144 

225 
1,837 

933 
453 
820 
1,106 
859 

2,342 
564 
937 
306 
634 

461 
459 
216 
804 
1,143 

563 
620 
493 
350 
779 

1,351 
724 

1,303 
767 
347 

1,988 
412 
697 

1,458 
358 

643 

907 

584 

1,664 

42,842 

2,958 
366 
159 
418 

3,098 



2.406 

262 
305 
202 
959 
7.213 

1,302 

485 

20,602 

386 

2,371 

488 
2,677 
2,147 

226 
1,853 

937 
454 
821 
1,109 
860 

2,366 
570 
945 
306 
636 

469 
528 
220 
807 
1,145 

570 
621 
493 
351 
780 

1,367 
728 

1.322 
778 
351 

1.990 
420 
698 

1.467 
359 

655 

908 

589 

1.685 

43.068 

2.978 
369 
161 
419 

3.103 



1 

3 

115 

5 
4 
1 



11 
52 

1 

2 

114 

1 

12 



27 



6 

14 

522 

25 



79 



3 

7 

504 

4 

4 

2,270 

2 

53 

2 
96 
21 



43 



5 

57 
I 

33 
7 
4 

50 
4,424 

162 

2 



113 

5 

29 

11 

38 

778 

22 
15 
1,356 
44 
90 

11 
189 

25 

7 

59 

35 
28 
18 
16 
16 

194 

18 

24 

4 

15 

44 
25 
3 
25 
19 

45 

23 

19 

9 

24 

52 
4 
60 
37 
19 

87 
13 
16 
91 
6 

77 

47 

35 

159 

4,672 

213 

13 

1 

15 

126 



558 

31 

51 

55 

125 

1,642 

182 

112 

4,120 

41 

347 

97 
505 
349 

24 
294 

238 
116 
146 
66 
122 

673 
115 
120 
60 
107 

64 

79 

30 

134 



95 
101 
81 
66 
171 

258 

85 

360 

206 

63 

340 
60 
81 

205 
61 

144 
180 
181 
400 
6,408 

742 
54 
30 
55 

615 



1,106 

213 
198 
121 
703 
1,975 

1,038 

303 

8,015 

262 

1336 

340 

1,507 

1,374 

177 

973 

504 
286 
493 
841 
524 

1,193 
380 
534 
220 
476 

321 
337 
172 
468 
646 

386 
464 
340 
250 
559 

895 
543 
747 
430 
239 

1,161 
304 
489 
946 
262 

341 
592 
314 
942 
12,142 

1,465 
276 
116 
254 

1.642 



530 

10 

15 

6 

53 

2.193 

53 

39 

4,634 

32 

522 

29 
332 
375 

17 
416 

127 
19 
152 
176 
186 

162 
34 

240 
21 
31 

27 

16 

8 

160 

240 

30 
28 
50 
18 
20 

134 
77 
89 
74 
24 

351 

33 

104 

146 

27 

46 
81 
43 
96 
14,559 

346 
17 
10 
86 

618 



96 



He 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1988 — Continued 



City by Slate 



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 



th Bnjnswick Township 

th Plainfield 

ley 

Jand 

an City 



an Township 

Bridge 

nge 

sades Park . . 
amus 



■sippany-Troy Htlls 

saic 

srson 

iberton Township 
'.nsauken 



*insville Township 
nuannock Township 

Vh Amboy 

niipsburg 

Kataway Township 



infield 

insboro Township 

asanlville 

ni Pleasant 

Tipton Lakes 



nceton 

nceton Township 

hway 

msey 

ndulph Township 



j .rilon Township 

• ;adinglon Township 

:d Bank 

' dgefield Park 

I dgewood 



ngwood 

ver Edge 

xkaway Township 

I jselle 

1 jseile Park 



oxbui7 Township 

utherford 

iddle Brook Township 

lyreville 

;otch Plains 




^caucus 

Dmers Point 

omerville 

outh Brunswick Township 
outh Orange 



outh Plainfield .. 

outh River 

pana Township . 

pringfield 

tafford Township 



ummit 

wneck Township 



26,244 
18,515 
29,372 
12,939 
15,908 

24,399 
56,917 
31,885 
13,469 
25,799 

49.623 
54,536 
140,846 
31,464 
34,755 

13.782 
13,574 
38,205 
16,237 
44.243 

46.127 
10.832 
14.571 
18.995 
11.126 

12.587 
14,536 
26,755 
13,129 
19,071 

12,161 
12.048 
12,020 
12,200 
24,811 

13,434 
10,604 
19,747 
20,555 
13.111 

19,918 
18,441 
13,748 
34.927 
21.658 

15.191 
10.823 
11,930 
22,803 
15.856 

20.696 
13,712 
14.571 
14.075 
13.263 

21.057 
38.329 



1,352 

1.003 

693 

233 

1.663 

1.251 
1.898 
3.550 
268 
4,148 

1,684 
4,357 
13,446 
1,079 
2,033 

379 
413 

2,635 
496 

1,667 

3,883 
524 

1,197 
696 
223 

660 
282 
1,162 
581 
594 

279 
155 
604 
281 
330 

151 
256 
1,130 
991 
321 

635 
469 
675 
1,108 
440 

1,486 
494 
448 
671 

1,293 

1,143 
354 
277 
409 
374 

528 
1,470 



1,355 

1,006 

695 

234 

1,669 

1,254 
1,938 
3,558 
268 
4,179 

1,686 
4,362 
13,489 
1,105 
2,042 

387 
415 

2,671 
511 

1.687 

3.904 
524 

1.211 
700 
225 

662 
284 
1,167 
582 
595 

279 
157 
616 
283 
332 

151 

257 

1,137 

1,008 

323 

638 
473 
677 
1,123 
440 

1,487 
497 
450 
675 

1,297 

1,149 
360 
279 
411 
376 

529 
1,478 



11 

26 

6 

3 

11 

12 

14 

292 

1 

31 

16 

554 

1.364 

14 

91 

1 

4 
96 

4 
37 

346 
1 

37 
1 



49 
17 
31 
II 
23 

23 

181 

266 

1 

55 

30 

234 

1.235 

62 

76 

5 
6 

132 
12 

160 

176 

11 

181 

24 
3 



32 
17 
13 

11 

3 
26 
II 

9 

5 

5 

21 

27 

4 

15 

10 

9 

60 

7 

16 
15 
9 
34 
34 

9 
33 

6 
12 
20 

10 
148 



321 

177 

152 

34 

316 

212 
396 
672 
75 
201 

362 
717 
3,159 
394 
470 

39 

44 

766 

105 

300 

1.127 

99 

322 

91 

42 

154 
86 

199 
65 

97 

24 
23 
87 
67 
68 

24 

48 

102 

193 

59 

93 
93 
59 
179 
93 

84 
107 

77 
136 
192 

156 
96 
56 
33 
98 

101 
185 



830 
680 
362 
178 
1,282 

948 
1,063 
1,262 

140 
3,172 

1,091 

1,745 

5,529 

472 

848 

312 
329 

1,209 
343 

1.013 

1,656 
380 
566 
552 
163 

468 

180 
668 
455 
443 

228 
118 
448 
163 

225 

108 
190 
834 
514 
200 

485 
311 
543 
645 
276 

1,093 
345 
318 
436 
636 

868 
199 
206 
242 
236 

351 
985 



141 
99 

141 

7 

28 

55 

229 

1,016 

51 
680 

160 

1,072 

2,069 

119 

542 

20 
30 

410 
31 

147 

546 
30 
78 
24 
13 

19 

5 

210 

41 

35 

14 
10 
34 
36 
23 

14 

9 

164 

202 

54 

37 
51 
60 
201 
52 

280 
24 
38 
62 

341 

78 

16 

8 

116 

18 

58 
119 



97 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1988 — Continued 



City by State 



Population 



Crime 
Index 
total 



Modified* 
Crime 
index 
total 



Murder 
and non- 
negjigent 

man- 
slaughter 



Forcible 
rape 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



NEW JERSEY— Continued 

Tenafly 

Tinton Falls 

Tolowa 

Trenton 

Union City 

Union Township 

Ventnor City 

Vernon Township 

Verona 

Vineland 

Voorhees Township 

Waldwick 

Wallington 

Wall Township 

Wanaque 

Warren Township 

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

Washington Township (Morris County) 

Wayne Township 

Weehawken Township 

West Caldwell 

West Deptford Township 

Westfield 

West Milford Township 

West New York 

West Orange 

West Paterson 

West Windsor Township 

Westwood 

Willingboro Township 

Winslow Township 

Woodbridge Township 

Woodbury 

Wyckoff 

NEW MEXICO 

Alamogordo 

Albuquerque 

Artesia 

Carlsbad 

Clovis 

Deming 

Farmington 

Gallup 

Hobbs 

Los Cruces 

Las Vegas City 

Los Alamos 

Lovington 

Portales 

Rio Rancho 

Roswell 

Silver City 



n,279 
10,224 
11,370 

93,517 
55,538 
50,952 
11,916 
19,325 

14,231 
54,869 
19,718 
10,433 
10,433 

20,376 
10,721 
10,503 
10,124 

33,347 

14,440 
50,010 
13,160 
11,597 
18,714 

30,397 
25,390 
40,586 
41,130 
11,541 

10,720 
10,893 
39,604 
25,585 
95,205 

10,548 
15,545 



29,277 
378,176 
11,357 
27,219 
34.144 

11,592 
38,350 
21,921 
32,705 
56,987 

15,716 
19,318 
11.067 
10,553 
29.189 

43.911 
11,300 



262 
512 
910 

11,675 

4,476 

3,418 

459 

501 

371 

4,125 

1,081 

206 

308 

494 

206 

167 

86 

1,159 

241 

3,585 

1,185 

304 

505 

701 
601 

2,851 

1,584 

654 

670 
284 

1,549 

861 

4,887 

570 

237 



1,668 

38.972 

400 

1.944 

1.829 

923 
2.779 
2.734 
1.806 
6.301 

1.451 
287 
542 
561 
828 

2.916 
748 



262 
516 
912 

11,700 

4,476 

3,427 

459 

504 

373 

4,165 

1,087 

206 

313 

499 

209 

174 

86 

1,163 

248 

3,595 

1.187 

307 

506 

706 
614 

2,859 

1,590 

655 

677 
286 

1,555 
887 

4,936 

570 
238 



1,675 

39,206 

400 

1,951 

1,843 

924 
2,787 
2,750 
1.818 
6,316 

1,455 
287 
542 
561 
828 

2.932 
751 



125 
24 



3 
190 

1 

5 

12 

4 
25 
13 
15 
23 



1 

5 

11 

1.007 
197 
99 

7 
1 

7 

119 

14 



16 



12 
928 
4 
14 
15 



14 
20 

12 

1.225 

232 

45 

33 

24 

23 

269 

21 

14 

2 

19 

10 

5 

II 

39 

3 
34 
56 
11 
10 



21 

147 

64 

14 



7 
102 
65 
109 

34 



81 
3.108 
19 
96 
85 

58 
178 
174 
141 
170 

176 
14 
15 
64 
61 

196 
48 



63 
121 
69 

2.776 

949 

433 

105 

55 

80 

929 

142 

27 

49 

72 
56 
39 
26 

257 

49 

293 

221 

30 

59 

94 
129 
593 
373 

52 

93 

70 

526 

220 

674 

136 
63 



422 

11.042 

89 

591 

392 

170 
441 
388 
353 
1,613 

335 
27 
127 
193 
295 

688 
153 



173 
323 
642 

4.128 

1.999 

1.816 

284 

397 

227 
2.388 
759 
151 
196 

373 
126 
117 
41 



165 
2.490 
715 
235 
388 

558 

409 

1.389 

753 
454 

457 
189 
768 
485 
2.862 

322 
156 



1.079 

20.950 

273 

1,187 

1,251 

633 
1,971 
1,983 
1,219 
4,037 

846 
243 
378 
270 
425 

1,855 
499 



11 
39 
176 

2.393 

1.071 

1.017 

28 

22 

33 

379 

144 

14 

56 

24 
13 
6 

7 

116 

24 

739 

164 

21 

37 

35 

36 

633 

343 

125 

106 

12 

107 

73 

1.169 

67 
10 



69 

2.705 

13 

49 

72 

50 
113 
132 

54 
380 

74 
3 

17 
24 
40 

116 
39 



98 



tie 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1988 — Continued 



Cily by Stale 



Population 



Crime 
Index 
total 



Modified* 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robber> 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



NEW YORK 



any 

tierst Town 
iterdam . . . 

um 

ivia 



con 

ford Town 

ilehem Town 

ghamton 

:)ming Grove Town 



Rhton Town 

Talo 

nillus Town & Village 
landaigua 

itnel Town 



>$ektowaga Town 
i^rkstown Town 

|y Town 

loes 

konie Town 



ming 

Hand 

' Dew Village 
' *itt Town 
I nkirk 



.1 Aurora-Aurora Town 

ilchesler Town 

il Fishkill Town 

nira 

dicott Village 



ans Town 

' ihkill Town 

I jral Park Village 
I seport Village . . . 
I Iton 



irden City Village 

ites Town 

;ddes Town 

:neva 

len Cove 



lenville Town . . . 

loversville 

reece Town 

reenburgh Town 
uilderland Town 

amburg Village 
amburg Town . . 
arrison Town . . . 
averstraw Town 
.empstead Village 



*ondequoit Town . . 

haca 

Jhnson City Village 
.enmore Village 
angston 




97,412 
103,526 
20,684 
31.516 
15,940 

13,841 
16,491 
26,095 
52,414 
11,637 

34,777 
323.714 
23,542 
12,345 
29,255 

90,662 
77,040 
50,246 
17,189 
70,965 

12,009 
19,319 
19,275 
22,046 
14,625 

13.494 
20,222 
21,802 
32,546 
13,978 

15,956 
15,276 
16,953 
40,278 
13,694 

22,087 
30,038 
11,182 
15,718 
24,025 

21,001 
16,602 
84,207 
28,869 
24,830 

10,543 
39,275 
23,047 
22,449 
42,685 

55,878 
26,617 
16,306 

17,231 
24,386 

21,308 
24,659 



5,655 
3,133 

487 
1 ,369 

694 

520 
424 
504 
2,866 
199 

1,108 

25,482 

383 

374 

528 

3,239 

1,706 

609 

380 

2,778 

574 
1,205 

613 
1,090 

717 

288 

273 

335 

2,352 

550 

401 
190 
302 
1.648 
679 

469 
1.294 
281 
571 
699 

371 

719 

2,879 

2,077 

327 

219 

1,711 

535 

486 

3,363 

2,013 

1,823 

868 

415 

1,047 

1,047 
1,391 



5,712 
3,145 

1,370 
696 

526 

508 

2,874 



1,114 

26,037 

383 

380 



1,710 
609 
386 

2,790 



1,212 

1,095 

725 

289 
273 
335 
2,363 
555 



191 
303 



683 



469 



573 
700 

377 

726 

2,886 

2,088 

327 



489 
3,381 

2,021 

1,831 

873 

1,049 

1,052 
1,395 



10 



61 


284 


10 


74 


1 


6 


10 


13 




4 



43 



6 
296 



1 

38 

1 

16 

1.774 

2 

1 

5 

73 

20 

5 

4 

19 



43 
3 

1 

1 

13 

175 

7 



6 
23 
60 

3 

1 

29 

4 

3 

284 

31 

37 

6 

2 

31 

40 
31 



510 

165 

8 

17 

1 

94 
11 
33 
32 
22 

6 

2,158 

2 

15 

7 

206 
70 
17 
76 
20 

65 
21 
30 

4 
17 

16 

4 

9 

52 

18 

37 

19 

3 

116 

16 



3 

14 
68 

29 
4 
24 
42 
24 

17 
169 

23 

9 

450 

12 
47 
22 
19 
119 

225 
188 



1,873 

497 

193 

231 

90 

137 

57 

130 

486 

56 

151 

7,384 

60 

59 

95 

624 
281 
151 
106 
382 

54 
176 

76 
196 
182 

40 

57 

107 

417 

86 

117 

27 

65 

362 

124 

140 

205 

53 

99 

148 

68 
154 

321 

353 

56 

37 
288 

95 
101 
635 

216 

273 

79 

80 

259 

211 
292 



2,554 
2,163 

266 
1,091 

594 

254 
308 
328 
2,162 
110 

897 
10,774 
314 
285 
359 

1,958 

1,159 

432 

167 

2,237 

423 
936 
463 
845 
490 

218 
173 
195 

1,742 
422 

220 
135 
168 

747 
510 

233 
966 
217 
446 
388 

253 

524 

2,372 

1,383 

225 

161 

1,116 

338 

333 

1,541 

1,632 

1,393 

736 

295 

568 

468 
803 



363 

224 

12 

6 

3 

17 
48 
12 
125 
10 

32 

3,053 

5 

12 

62 

368 

170 

4 

25 

113 

32 
48 
33 
31 
15 

14 

37 
22 
82 
19 

20 

8 

53 

234 

19 

73 

90 

5 

1 

78 

21 

31 

131 

232 

14 

3 
105 

72 

38 

417 

114 
67 
17 
19 
60 

95 
70 



99 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1988 — Continued 



City by Stale 



Population 



Crime 
Index 
total 



Modified* 
Critne 
Index 
total 



Murder 
and non- 
ifegligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



NEW YORK— Continued 

Long Beach 

Lynbrook Village 

Mamaroneck Town 

Mamaroneck Village 

Manlius Town 

Massena Village 

Middletown 

Mount Pleasani Town 

Mount Vernon 

Newark Village 

Newburgh 

Newburgh Town 

New Castle Town 

New Haitford Town & Village . . . 

New Rochelle 

New Windsor Town 

New York 

Niagara Falls 

Niskayuna Town 

North Tonawanda 

Ogden Town 

Ogdensburg 

Olean 

Oneida 

Oneonta 

Orangetown Town 

Orchard Park Town 

Ossining Village 

Oswego 

Peekskill 

Plattsburgh 

Port Chester Village 

Port Washington Village 

Poughkeepsie 

Poughkeepsie Town 

Putnam Valley Town 

Ramapo Town 

Riverhead Town 

Rochester 

Rockville Centre Village 

Rome 

Rotterdam Town 

Rye 

Saratoga Springs 

Saugerties Town 

Scarsdale Village 

Schenectady 

Southampton Town 

Southport Town 

Spring Valley Village 

Stony Point Town 

Suffem Village 

Syracuse 

Tarrytown Village 

Tonawanda 

Tonawanda Town 

Troy 



32,856 
19,730 
11.691 

17.135 
30,016 
12,210 
22,739 
24,041 

68,781 
10,003 
25,007 
22,923 
16,099 

20,778 
69,554 
23,796 
7,346,352 
64,601 

18,570 
34,568 
14,645 
12,200 
17,534 

10,402 
14,006 
35,848 
23,271 
21,388 

19,097 
19,528 
21,013 
22,987 
14,742 

30,299 
39.695 
10,112 
58.517 
22.064 

235,877 
25.424 
41.945 
28.911 
15.054 

25.055 
14.892 
17.758 
67.212 
34,077 

10.471 
21.737 
12.998 
11.024 
160.353 

10.811 
18.178 
66.283 
54,071 



1.104 
506 
407 

842 
655 
474 
1.282 
514 

4,801 

371 

3,348 

1,643 

208 

502 
2,823 

808 

718,483 

4,461 

767 
942 
365 
530 
964 

523 
610 
579 
735 
780 

781 
797 
701 
1,442 
518 

2,252 
2,109 

217 
1,359 

976 

24.444 

864 

1,301 

823 

420 

1,708 

378 

349 

3,226 

1,516 

83 

1,728 

184 

291 

12.260 

363 

490 

1,694 

2,419 



1.111 
509 
407 

842 

476 

1.287 

515 



3.360 

1,659 

210 

504 

822 

725,087 

4,490 



948 
530 

541 
610 
581 

787 

803 
1,448 

2,264 

989 

24,784 
864 

824 
420 

383 

349 

3,275 

1,520 

83 

1,745 

186 

294 

12,353 

365 

1,702 



1,896 

4 



16 



18 



9 

3 

3,412 

36 

2 
5 
1 
1 
2 

1 

7 
2 



212 



29 



103 



23 

11 

5 

9 
1 
1 
35 
6 

370 

2 

260 

25 

2 

3 

124 

12 

86,578 

170 

5 
13 
5 
4 
1 

1 
1 

4 

3 

36 

1 
35 

3 
52 

7 

156 
22 
1 
24 
26 

960 
18 
13 



62 



4 
537 

3 

5 

23 

66 



24 
20 
15 

4 

6 

10 

44 

23 

355 
22 

462 

38 

5 

12 

118 

78 

71,030 

139 

41 

7 



7 

12 

46 

33 

115 



40 
33 
57 
14 

81 
82 
30 
78 
129 

853 
16 
27 
22 



172 
19 
11 
56 

165 



710 



40 
112 
40 



263 
102 
109 

167 
165 
108 
253 
95 

905 

43 

1,087 

290 
56 

81 

674 

199 

127,148 

1,325 

102 
199 
79 
101 
128 

87 

93 

78 

170 

176 

180 
192 
116 
198 
53 

547 
287 
62 
426 
360 

5.424 

161 

314 

113 

78 

330 

93 

75 

1,143 

346 

18 

419 

49 

61 

3,649 

53 
117 
356 
784 



635 
280 

224 

562 
474 
337 
867 
335 

2,183 

294 

1,296 

1,207 

130 

400 

1,398 

459 

308,479 

2,410 

595 
676 
269 
395 
799 

409 
483 
413 
499 
399 

559 
448 
519 
998 
391 

1,336 

1,630 

112 

744 
423 

15,547 
490 
869 
617 
285 

1,137 
243 
257 

1,607 
933 

65 

1,071 

118 

201 

6,707 

283 

307 

1,105 

1,363 



156 
93 
53 

96 
9 
16 

74 
52 

958 
10 

207 
82 
15 

6 

498 

57 

119,940 

377 

21 
42 
3 
27 
33 

18 
14 
36 
30 

52 

41 

73 

30 

131 

52 



12 
81 
32 

1,412 

178 

72 

61 

47 

43 

21 

5 

300 
56 



98 

8 

23 

538 

21 

19 

93 

149 



100 



tie 6. — Number of OfTenses Known to the Police, Cities and Towns 10,000 and over in Population, 1988 — Continued 



Cily by Slate 



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— Continueil 

ter Town 



ca 

ital Town .. 
Ukill Town 
rwick Town 
tertown 



tervliet 

ibster Town & Village 

;st Seneca Town 

lite Plains 

nkers 

•rktown 



NORTH CAROLINA 



jemarle 
heboro 
heville . 

one 

rlington 



■7 

lapel Hill 
larlotte . . . 
mcord . . . 
jrham 



len 

izabeth City 
lyetteville .. 

amer 

astonia 



oldsboro 
reensboro 
reenville 
avelock . . 
lenderson 



lickor7 .... 
ligh Point 
acksonville 
lannapolis 
linston 



^urinburg 

^noir 

-exington . 
•lonroe . . . 
vlorganton 



»(ew Bern 

laleigh 

<eidsville 

Roanoke Rapids 
Rixky Mount 



Salisbury . . . 

Sanford 

Shelby 

Tarboro 

Thomasville 



Wilmington . . . 
Winston-Salem 



12,531 

69,300 
27,144 
22,288 
15,823 
28,467 

11,436 
28,998 
48,992 
45,592 
187,113 
33,565 



15,000 
16,370 
61,902 
10,829 
38,399 

32,739 
34,821 

370,492 
20,767 

117.713 

15,941 
15,511 
77,116 
13,307 
54,355 

35,721 
182,802 
40,072 
23,713 
16,596 

26,505 
68,878 
29,129 
33.156 
25,622 

12,554 
14,493 
16,427 
18,721 
15,689 

19,133 
188,308 
12,578 
15,589 
49,444 

24,626 
18,289 
15.271 
10,475 
16.459 

56,465 
153,434 



431 

3,401 
550 
342 
155 

1,530 

282 

768 

1,426 

3,291 

11,113 

935 



814 
750 

5,190 
543 

2,155 

1,335 
2,178 

43,979 
1,308 

10,737 

892 
891 

9,333 
646 

5,519 

3,408 

13,140 

3,420 

487 

1,851 

2,554 
5,375 
2,798 
1,104 
2,247 

1,205 
1,142 
1,035 
1,268 
839 

1,735 

12,504 

439 

1,041 

4,699 

1,798 
1,954 
1,293 
641 
1,257 

6,378 
13,895 



434 

3,422 
550 
342 
157 



285 

772 

1.461 

3,292 

11,194 

943 



818 
750 

5,200 
550 

2,164 

1,345 
2,183 

44,389 
1,317 

10,762 

897 
892 

9,395 
648 

5,572 

3.423 

13.220 

3,430 

487 

1.858 

2,566 
5,409 
2,800 
1,112 
2,278 

1,219 
1,155 
1,050 
1,268 
843 

1.743 

12.561 

442 

1.042 

4,703 

1,815 
1,963 
1,296 
648 
1,259 

6.400 
14.070 



34 
4 
7 

6 

10 

315 

4 

77 

1 

3 

67 



2 
34 
12 

3 
16 

7 
5 
9 
2 
1 

9 

65 

1 

5 

18 

7 
7 
7 
5 
7 

38 
150 



106 

2 
2 



3 

5 

18 

89 

642 

5 



12 

10 

113 

2 

24 

9 

24 

1,933 

12 

316 

18 
11 

291 
10 

145 

124 

352 

140 

1 

28 

45 
137 
71 
34 
98 

13 
20 
19 
18 
12 

54 

335 

13 

17 

141 

74 
13 
34 
6 
13 

186 
465 



20 

48 
4 
9 

4 
37 

6 

I 
90 

37 

234 

31 



63 
33 

216 
43 

139 

32 

81 

4,521 

53 

292 

101 
95 

839 
41 

472 

286 
825 
162 
50 
223 

123 
434 
242 
78 
214 

43 
75 
57 
111 
51 

183 

766 

44 

19 

318 

71 
190 
99 
87 
70 

238 
1,530 



102 

883 

122 

68 

58 

320 

56 
158 

221 

355 

2,237 

153 



176 
170 
1,269 
100 
369 

229 

532 

10,605 

385 

3,350 

161 

191 
2,255 

132 
1,329 

897 
2,861 
972 
152 
547 

586 
1,409 
641 
274 
538 

272 
242 
291 
312 

177 

435 

2,742 

79 

187 
1,135 

525 
450 
355 
131 
280 

1,844 
3,574 



289 

2,115 

406 

252 

78 

1,103 

190 
581 
942 
2,533 
5,991 
705 



538 
505 

3,248 
374 

1,533 

1,001 

1,419 

24,236 

796 

6,084 

574 
548 

5.386 
443 

3.226 

1,933 

8,391 

1,989 

265 

961 

1,650 
3,104 
1,726 
643 
1,292 

815 
754 
600 
775 
556 

1,002 

7,860 

285 

781 

2,933 

1,063 

1,223 
735 
396 
782 

3,805 
7,391 



17 

227 
16 
11 
15 
51 

22 

22 

151 

268 

1,970 

41 



22 
32 
306 
20 
80 

57 

112 

2,323 

55 

602 

36 
39 

485 
20 

310 

152 

602 

136 

19 

92 

147 

250 

106 

69 

86 

55 

45 
59 

47 
41 

52 

725 

15 

31 

146 

57 
69 
60 
16 
103 

262 

767 



101 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1988 — Continued 



City by Stale 



Population 



Crime 
Index 
total 



Modified* 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



NORTH DAKOTA 

Bismarck 

Dickinson 

Fargo 

Grand Forks 

Jamestown 

Mandan 

Minot 

West Fargo 

Williston 

OHIO 

Akron 

Alliance 

Amherst 

Ashland 

Ashtabula 

Athens 

Barberton 

Bay Village 

Beavercreek Township 

Bedford 

Bedford Heights 

Bellevue 

Berea 

Bexley 

Blue Ash 

Boardman Township 

Bowling Green 

Brecksville 

Broadview Heights 

Brookfteld Township 

Brook Park 

Brunswick 

Bucyrus 

Canton 

Centerville 

Chillicothe 

Cincinnati 

Cleveland 

Cleveland Heights 

Columbus 

Conneaut 

Cuyahoga Falls 

Dayton 

Defiance 

Delaware 

Delhi Township 

East Cleveland 

Eastlake 

Elyria 

Englewood 

Euclid 

Fairbom 

Fairfield 

Fairview Park 

Forest Park 

Franklin 



47,561 
16,690 
68,082 
44,750 
15.655 

15,682 
35,663 
11,271 
13,863 



227,158 
23,443 
10,540 
19,871 
22,301 

21,348 
28,492 
17,463 
36,124 
14,867 

12,328 
11,602 
18,984 
14,123 
11,018 

41,151 
25,023 
10,606 
10,803 
10,676 

25,247 
29,181 
13,428 
88,179 
19,925 

24,095 
377,783 
544,515 

56,725 
588,428 

13,179 
42,468 
184,362 
16.647 
20,505 

30,587 
36,560 
22,134 
57,065 
11,315 

57,770 
29,464 
34,086 
18,422 
18,791 

11,244 



2,629 

578 

3,797 

2,353 

653 

634 

1,434 

337 

528 



16,904 

1,880 

436 

419 

1.245 

761 

1.498 

185 

944 

574 

617 
220 
527 
545 
599 

1.877 

1.407 

152 

173 

187 

939 
401 
492 
6.808 
715 

1.885 
27,550 
44,831 

1,738 
56,769 

437 

1,580 

20,188 

865 

1,048 

529 
2.644 

581 
2,528 

471 

2.472 

1.195 

2.081 

559 

629 



2.630 

579 

3.799 

2.356 

656 

634 

1,434 

341 

528 



17.136 

1.914 

436 

422 

1,282 

762 
1,515 
187 
952 
576 

618 
222 
533 
548 
603 

1,881 

1,408 

153 

176 

187 

947 
404 
498 
6,858 
718 

1,887 
28,153 
45,755 

1,738 
57,532 

441 

1,606 

20,489 

867 

1,053 

531 
2,671 

588 
2,564 

472 

2.479 

1.195 

2.090 

562 

630 



30 



47 

137 

1 

69 

2 

2 

44 



150 
II 

5 



9 
296 
844 

2 
594 

1 

17 

264 



662 

84 

II 

1 

10 

2 
30 

2 
II 
10 

10 



12 

6 

3 

371 

2 

32 
1.211 
3.795 

45 
3,028 

3 

28 

1,648 

5 

11 

4 
213 

7 
74 

5 

68 
II 
21 
II 
9 



1.170 

167 

2 

39 

85 

56 

192 

6 

16 
13 



145 

54 
3 
2 

25 

14 

29 

9 

298 

11 

73 

1.645 

2.557 

5 

2,111 

4 

72 

980 

87 



10 
165 
15 
61 
36 

113 
39 

79 
4 



397 
81 
559 
372 
121 

38 
111 
48 
40 



3,604 

340 

35 

66 

303 

96 
249 

55 
122 

66 

97 
32 
115 
102 
97 

315 
146 
26 
46 
40 

178 

40 

95 

1,617 

113 

390 

5,856 

12,052 

229 

15,483 



212 

4,782 

100 

198 

63 
764 

71 
646 

42 

370 

193 

351 

85 

96 



584 



117 



2,113 

450 

2,967 

1,856 

504 

557 

1,260 

259 

457 



9,899 

1,165 

367 

288 

804 

575 
949 
112 
772 
401 

315 
158 
347 
381 

474 

1,210 

1,156 

103 

103 

103 

544 
312 
349 
4,006 
567 

1,317 
17,020 
15,471 

1,040 
29,742 

318 

1,148 

10.502 

644 

775 

433 
788 
435 
1,503 
371 

1,497 
888 

1,495 
389 
485 

403 



102 



'able 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1988 — 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 



Larcenv- 
thefl 



Motor 
vehicle 
theft 



OHIO— Continued 



remont 

3ahanna 

jarfield Heights 
joshen Township 



reenville 

jrove City 

-lamillon 

.ronton 

iackson Township 



Kent 

Kettering . 
liLakewood 
iLancaster 
Lebanon 



I Liberty Township 

Lima 

Lorain 

Lyndhurst 

Madison Township (Lake County) 

Madison Township (Montgomery 

County) 

Maple Heights 

Marietta 

MaI^on , 

Mason 



Massillon 

Mayfield Heights 

Mentor 

Miamisburg 

Miami Township 



Middleburg Heights 

Middletown 

Montgomery 

Newark 

New Philadelphia 



Niles 

North Canton .. 
North Olmsted . 
North Ridgeville 
Norton 



Norwalk 
Norwood 
Oregon . . 
Oxford .. 
Parma 



Perkins Township 

Perrysburg 

Perry Township 

Piqua 

Portsmouth 



Randolph Township 

Reading 

Reynoldsburg 

Salem 

Sandusky 



Seven Hills 

Shaker Heights 



17,374 
21,019 
33,569 
13,996 

12,624 
18,130 
67.121 
13,396 
28,965 

28,174 
61,252 
60,306 
36,333 
10,503 

13.066 
47,501 
72,627 
16,829 
15.559 



22.406 
28.596 
16.409 
35.387 
10.759 

30.484 
20.127 
42.859 
16.481 
18.947 

15,338 
45,950 
11.410 
42,070 
16,955 

21,958 
14,706 
35,887 
21,802 
11,970 

14.815 
25.883 
18.780 
17.471 
89.890 

10.376 
10,921 
32.315 
20.459 
23,868 

12.653 
12.633 
23.273 
12.312 
.30,526 

13.140 
31.336 



771 
838 
868 
243 

679 
781 

4.817 
357 

1,467 

1,189 
2,563 
1,898 
2,143 
494 

650 

4,347 

2,215 

231 

475 



1 .495 
948 
621 

2.338 
328 

1.577 

699 

1.515 

1.081 

693 

763 
2.532 

338 
2,453 

603 

917 
273 
1,446 
439 
359 

424 
1,017 
1,210 

773 
2,163 

614 

237 

1,008 

1.109 

1,390 

303 
405 

1,130 
245 

2,173 

109 
1.646 



779 
842 
869 
243 

684 
782 

4.861 
359 

1.474 

1.198 
2.583 
1.904 

495 

656 

4.410 

2.218 

231 

478 



1,505 
952 
626 

2,345 
328 

1,593 

701 

1.519 

1091 

697 

763 

2.546 

339 

617 

917 
273 
1.451 
441 
359 

424 
1,017 
1,219 

774 
2,180 

614 

240 

1,012 

1.115 



307 
406 

1.137 
246 

2,178 

113 
1.660 



3 

13 

161 



15 
36 

37 

21 

4 

10 
136 

54 



43 



32 
2 

59 
7 

4 

11 

468 

63 

36 

32 

31 

29 

159 

4 

17 

528 

49 

2 

35 



48 
4 
7 

64 

27 

130 

2 

21 

44 

34 

20 

47 

2 

184 

50 

37 

18 

17 

4 

1 

2 

6 

33 

20 

62 



128 
17 
70 



38 
20 
109 

12 
33 



167 

226 

220 

51 

100 

143 

1.231 

73 

226 

215 
443 
273 
257 
42 

96 

1,336 

966 

44 
79 



269 
194 
203 
515 
42 

335 
72 
165 
157 
118 

123 
553 

47 
564 

92 

131 
54 

165 
65 
87 

52 
210 
288 
173 
469 

33 

29 

241 

166 

407 

95 
66 

142 
12 

346 

21 
470 



517 
572 
431 
173 

551 
556 

2,641 
181 

1,051 

853 
1,892 
1.350 
1.598 

422 

419 
2,180 
950 
157 
326 



1.048 
558 
369 

1.637 
239 

986 
503 
1.223 
782 
482 

484 
1,748 

270 
1,601 

427 

635 

192 

1,059 

327 
237 

354 
693 
783 
549 
1,287 

522 
194 
550 
860 
805 

187 
289 
877 
198 
1,544 

63 
769 



38 

21 

114 

9 

19 
56 
251 
29 
99 

59 
148 
206 
83 
20 

107 
112 
158 
28 
32 



109 

147 

34 

81 

13 

73 
107 
87 
71 
42 

126 
120 
12 
61 
23 

107 

8 

179 

34 

27 

8 

72 

64 

24 

308 

24 
14 
64 
43 

71 

18 
40 
42 
13 
99 

9 
293 



103 



Table 6. — Number of Oflenses Known to the Police, Cities and Towns 10,000 and over in Population, 1988 — Continued 



City by State 



Population 



Crime 
Index 
total 



Modified* 
Criine 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



OHIO— Continued 

Sharonville 

Sheffield Lake 

Solon 

South Euclid 

Springdale 

Springfield 

Springfield Township 

Steubenville 

Stow 

Strongsville 

Sylvania Township 

Tallmadge 

Tiffin 

Troy 

Union Township (Butler County) .. 
Union Township (Clermont County) 

University Heights 

Upper Arlington 

Urbana 

Vandalia 

Vermilion 

Wadsworth 

Warren 

Warrensville Heights 

Washington Court House 

West Carrollton 

Westerville 

Westlake 

Whitehall 

Wickliffe 

Willoughby 

Wilmington 

Wooster 

Worthington 

Xenia 

Youngstown' 

Zanesville 

OKLAHOMA 

Ada 

Alius 

Ardmore 

Bartlesville 

Bethany 

Broken Arrow 

Chickasha 

Claremore 

Del City 

Duncan 

Durant 

Edmond 

Elk City 

El Reno 

Enid 

Guthrie 

Lawton 

McAlester 



10,856 
10,408 
15,642 

25,042 
11,083 
70,577 
42,219 
23,123 

25,784 
31,014 
19,001 
14,381 
19,693 

19,756 
27,756 
31,895 
15,432 
37,488 

11,481 
12,927 
11,177 
15,347 
52,833 

16,292 
12,825 
13,505 
25,858 
21,431 

23,651 
15,959 
19,776 
10,842 
19,976 

19,459 
24,776 
105,735 
28,333 



16,962 
23,870 
24,559 
28,392 
21.598 

49,725 
16,193 
16,302 
25,737 
21,230 

13,173 
50,232 
10,910 
16,861 
47,734 

11,783 
81,707 
18,596 



1,034 
189 
495 

611 
1,198 
5,887 
1,450 
1,731 

715 
876 
1,149 
507 
722 

711 
1,469 
1,909 

327 
1,164 

536 
508 
293 
359 
3,712 

812 
686 
889 
1,233 
716 

2,529 
443 
771 
442 
973 

711 
1,331 

1,950 



986 
1,594 
1,695 
1,802 
1,167 

1,972 

1,366 

761 

1,752 
1,280 

1,210 

1,994 

517 

629 

3,464 

672 
6,090 
1,091 



191 
500 

612 
1,199 
5,919 
1,453 
1,731 

723 
891 
1,164 
511 
722 

724 
1,481 
1,915 

328 
1,165 

536 
513 
295 
364 



817 
688 
889 
1,245 
724 

2,535 
444 
774 
442 
977 

728 
1,339 

2,010 



1,000 
1,600 
1,707 
1,817 
1,168 

1,980 
1,388 
765 
1,767 
1,291 

1,214 

2,016 

521 

646 

3,494 

689 
6,131 
1,098 



10 

19 

216 

27 
44 

4 
7 
3 
4 
6 

11 
10 
17 
9 
14 

20 
6 



3 
178 

45 
12 
14 
22 
3 

99 
10 
5 
2 



10 

26 

381 

51 



15 

1 

16 

55 

17 

110 

10 



12 
28 

17 

3 

6 

657 

37 

51 



4 
25 
61 

12 

55 

139 

9 

56 

36 
7 

11 

3 

369 

29 
12 
46 
26 
13 



17 

13 

9 

23 

4 

17 

137 



110 
44 

102 
69 

7 

82 
68 
78 
30 
45 

95 
39 
25 
28 
183 

43 

346 

59 



161 

37 
80 

96 

95 

1,232 

223 

547 

104 
236 
182 
104 
153 

124 
315 
220 
58 
209 

53 
64 
44 
68 
1,417 

185 
176 
119 
230 
146 

286 
54 

124 
50 

179 

198 

113 

2,424 

438 



222 
503 
312 
342 
239 

528 
416 
184 
461 
327 

294 
539 
144 
192 
945 

198 

1,977 
306 



786 
120 
293 

414 
1,038 
3,542 
1,123 

992 

574 
582 
904 
344 
483 

537 

1,044 

1,418 

198 

864 

410 
377 
222 
253 
1,456 

380 
459 

625 
899 

475 

2,032 
283 
554 
357 
708 

463 
1.116 
2,786 
1,240 



589 

968 

1,179 

1,296 

823 

1,208 
774 
446 

1,039 
826 

735 

1,246 

320 

331 

2,169 

371 

3.306 

629 



48 

3 

99 

87 
36 
192 
29 
93 

24 
50 
52 
23 
14 

22 
43 
110 
51 
18 

14 
50 
16 
23 
251 

166 

25 
76 
53 

77 

94 
75 
73 
20 
46 

35 

48 

964 

68 



53 
50 
85 
69 
83 

115 
81 
46 

180 
63 

73 
143 
25 
53 
89 

34 

293 

77 



Sec footnote at end of table. 



104 



ible 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1988 — Continued 



City by Stale 



Population 



Crime 
[ndcx 
total 



Modified* 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Aggra- 
vated 
assault 



Burglary 



Larccny- 
thelt 



Motor 
vehicle 
theft 



OKLAHOMA— ConHnued 

iami 

idwest City 

oore 

uskogee 

ustang 

jnnan 

dahoma City 

OREGON 



13,743 
52,686 

42,156 
42,301 
11,039 
78,943 
440,136 

15,756 
27,787 
14,779 
19,446 
26,915 

36,077 
13,191 
373,602 
12,110 
10,484 

10,592 
13,482 
25,165 



29,401 
16,118 
35,721 
19.399 
16,576 

40,320 

106,684 

12,292 

10,222 

17,457 

38,904 
10,335 
32,193 
20,465 
18,244 

11,418 
25,626 
10,689 
15,544 
44,797 

18,581 
11,619 
15,321 
14,371 
387,659 

16,419 
95,741 
38,864 
10.113 
20,119 

11,449 
1 3,760 
11,925 



894 
3,972 

2,157 

2,959 

366 

4,449 

50,317 

1,257 

1,068 

667 

882 

2,683 

1,443 

584 

35,299 

811 

816 

392 
595 
835 



1,897 
901 
2,955 
1,892 
1,426 

2,716 

8,892 

660 

592 

2,004 

3,895 
627 
1,708 
1,158 
2,011 

486 
1,046 

981 
1,210 
3,726 

1,032 
657 

1,241 

673 

67,681 

1,764 
9,658 
3,557 
899 
2,048 

687 

413 

1,071 



898 
3,989 

2,171 

2,982 

368 

4,461 

50,787 

1,265 

1,072 

676 

930 

2,697 

1.446 

587 

35,527 

811 

819 

393 
605 
839 



1,915 
906 
2,960 
1,895 
1,435 

2,737 

8,946 

666 

593 

2,010 

3,902 
627 
1,712 
1,163 
2,016 

487 
1,048 

993 
1,221 
3,751 

1,032 
660 

1,247 

681 

68,095 

1,773 
9,713 
3,585 
902 
2,061 

689 

415 

1,082 



45 



4 
19 

16 

18 

6 

33 

377 



5 
260 

2 
5 



6 

3 
372 

10 

46 

26 

6 



1 

77 

23 

53 

1 

34 

1 ,365 

21 
10 
14 
17 
34 

10 

2 

1,008 

12 

25 

3 
4 

5 



28 
II 
55 
9 
15 

13 
166 
17 
11 
21 

123 

6 

29 

22 

32 

4 
9 
6 
9 
47 

21 

4 

23 

6 

3,632 

16 

179 
37 
13 
42 



35 
56 

70 

150 

28 

83 

2,184 

92 
26 
15 
17 
111 

43 
11 
2,159 
23 
11 

16 
35 
28 



33 
25 
15 
17 
23 

39 

150 

13 

6 

25 

118 

2 

9 

29 

39 

76 

6 

42 

16 

123 

22 
32 
69 
18 
4,637 

21 
59 
98 

24 
22 

3 

9 

20 



190 
879 

644 

785 

93 

1,348 

14.693 

285 
241 
139 
225 
804 

257 
196 
9,648 
193 
147 

91 

174 
182 



592 
250 
649 
312 
359 

475 
1,916 
188 
151 
467 

1,072 
138 
446 
267 
500 

87 
386 
187 
223 
678 

285 
125 
252 
173 
15,236 

421 
2,059 
881 
197 
486 

166 
160 
267 



620 

2,524 

1,257 

1,597 

218 

2,609 

25,931 

762 
723 
407 
547 
1,560 

1,052 

327 

16,280 

490 

567 

260 

356 
560 



1,085 

571 
2,036 
1,457 

929 

2,093 

6,175 

392 

375 

1,377 

2,015 
445 

1,106 
784 

1,335 

295 
579 
700 
904 
2,670 

584 
465 
797 
425 
35,601 

1,222 
6,737 
2,298 
608 
1,384 

456 

228 
700 



43 
413 

146 

.353 

20 

336 

5,707 



60 
91 
69 
150 

70 
43 
5,909 
88 
60 

22 
21 
59 



150 

38 

193 

88 

91 

91 
440 
43 
48 
103 

545 
34 

109 
55 
98 

21 
64 
45 
54 
178 

117 
31 
92 
48 
!,I58 

74 
574 
211 

51 
114 



105 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1988 — Continued 



City by Slate 



Population 



Crime 
Index 
total 



Modified* 
Cnme 
Index 
total 



Murder 
and non- 
negligenl 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



PENNSYLVANIA 

Allentown 

Altoona 

Aston Township 

Beaver Falls 

Bethlehem 

Center Township 

Cheltenham Township 

Chester 

Coal Township 

Cumru Township 

East Hempfield Township 

Erie 

Fairview Township 

Greensburg 

Greenville 

Hanover Township 

Hermitage 

Hopewell Township 

Indiana 

Johnstown 

Kingston 

Lancaster 

Logan Township 

Lower Makefield Township 

Meadville 

Monessen 

Murrysville 

Nanticoke 

Newtown Township 

North Huntingdon Township . . 

Oil City 

Palmer Township 

Peters Township 

Philadelphia 

Pittsburgh 

Plains Township 

Quakertown 

Radnor Township 

Reading 

Richland Township 

Rostraver Township 

Sharon 

Springettsbury Township 

Springfield Township (Delaware 
County) 

Spring Township 

State College 

Upper Providence Township .. 

Warwick Township 

Washington 

Whitehall 

Whitehall Township 

RHODE ISLAND 

Harrington 

Bristol 

BurrillviUe 



106,273 
53,320 
15,714 
11,057 
72,179 

10,111 
36,791 
44,396 
10,502 
15,958 

18,276 
115,937 
13,311 
16,892 
11,175 

12,419 
16,803 
13,497 
14.906 
31.748 

15.256 
59.128 
12.428 
23,183 
14,061 

10,462 
16,250 
12,309 
10,072 

30,103 
13,090 
14,779 
13.720 
1,657,285 

387,190 
11,319 
10,134 
29,862 
79,966 

13,152 
11,185 
16,260 
20,970 

25,339 

18,070 
44,868 
11,190 
10,006 
17.705 

13.989 
22.087 



16,371 
20,609 
16,037 



5,969 

1,649 

243 

307 

2,783 

201 

2,054 

4,706 

143 

562 

581 

5,792 

281 

494 

96 

262 
518 
201 
387 
1,306 

235 
3,804 
383 
425 
746 

253 
265 
264 
182 

489 
345 
397 
165 
100,051 

31,904 

286 

307 

607 

4,626 

315 
322 
676 
632 

760 

143 
1,800 

100 

96 

1,049 

127 
1,035 



251 
420 
254 



6,007 

1,659 

244 

314 

2,789 

201 

2,061 

4,726 

144 

563 

586 

5,830 

283 

502 

97 

264 
522 
201 
403 
1.329 

235 
3.833 
384 
426 
750 

255 
269 
264 
187 

493 

349 
398 
165 



287 

315 

608 

4.676 

316 
323 
696 
638 

764 

143 
1.802 

102 

97 

1.059 

127 
1,038 



371 



1 

2 

916 

234 
1 



194 

28 

2 

21 

59 

3 

94 

311 

1 

9 

2 
332 
1 
4 
1 

4 

3 

3 

6 

52 

4 
159 



2 
9 

4 
6 
2 
2 

4 
I 
2 
2 
8,901 

2,537 



I 

6 

300 

6 

3 

30 

4 

20 

1 
5 



254 
421 
257 



223 
69 
24 
29 

115 



19 

1,487 

7 

17 

16 

315 

4 

51 



4 
21 

4 

34 

135 

24 

116 

5 

5 

9 

16 

10 

2 

1 

28 

1 

3 

9 

6,971 

1,328 

2 

10 

12 

258 

48 

24 

53 

4 



28 



1.338 

520 

35 

102 

529 

27 
321 
915 

15 
105 

90 

1.366 

65 

115 

31 

83 
40 
60 
81 
400 

39 
937 
60 
81 
97 

85 
48 
90 
34 

86 
72 
31 
27 
20.403 

7,444 
58 
29 
79 

1,476 

41 

52 

174 

76 



3.726 
933 
155 
135 

1.944 

152 

1,210 

1,242 

107 

408 

440 

3,405 

191 

276 

49 

149 
430 
106 
245 
617 

143 

2,322 
302 
325 
605 

124 
182 
151 
128 

336 
245 
348 
120 
42,161 

10,973 

192 

243 

472 

2,159 

201 
209 
342 
529 

510 



3 


49 


84 


25 


149 


1,584 


10 


23 


56 


3 


12 


73 


64 


289 


551 


2 


34 


74 


15 


144 


797 



40 
123 
109 



193 

244 
121 



429 
84 
24 
17 

116 

19 
399 
676 

12 
22 

31 

324 

12 

42 

7 

21 
24 
27 
20 
86 

24 

230 

14 

12 
22 

21 
19 
18 

17 

34 

26 

11 

7 

20,328 

9,370 

33 

22 

31 

394 

16 
31 
68 
16 

139 

4 
28 
11 

6 

87 

15 
68 




106 



ible 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1988 — Continued 



City by State 



Population 



Crime 
Index 
total 



Modified* 
Cnme 
Index 
total 



Murder 
and non- 
negligcnl 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



RHODE ISLAND— Continued 



ntral Falls 
II iventi7 — 



anston 

imberland — 
si Greenwich 
St Providence 
hnston 



ncoln 

iddletown 

jrragansett 

:wport 

ynh Kingstown 

Drth Providence 
Drth Sinithfield 

iwtucket 

)rtsmouth 

evidence 



nithfield 

)uth Kingstown 

verton 

arren 

arwick 



'esterly 

'est Warwick 
'oonsocket . . . 



SOUTH CAROLINA 



iken 

nderson 

ayce 

harleston 
olumbia 



.onway 

asley 

lorence . . . 

JafTney 

jeorgetown 



joose Creek 
jreenviUe . . 
jreenwood . 

jreer 

ianahan 



jncaster 

-aurens 

vlount Pleasant 
vlytile Beach .. 
dewberry 



Soith Augusta 
Vorth Charleston 

Drangeburg 

Rock Hill 

Simpsonville 



Spananburg 

SummerviUe ... 

Sumter 

Union 

West Columbia 



17,451 
30.569 

75,583 
27,596 
10,689 
51,686 
26,530 

17.952 
17.924 
13.493 
29,543 
24.595 

29.748 
10.862 
74,435 
15,567 
161,081 

18,393 
21,674 
14,348 
11,463 
88,109 

20,019 
28,948 
46.081 



18.883 
29,409 
11,171 
71,971 
97,609 

14,270 
17.587 
32.593 
14,071 
11,215 

26.829 
60.160 
22,800 
13,424 
14.702 

10,409 
10,725 
23.053 
29.511 
10.172 

16,818 
64,167 
15.895 
44,093 
13.028 

45,427 
18,330 
29,850 
10,418 
11,394 



560 

774 

3.088 

598 

336 

1,532 

1.273 

927 
820 
599 
2.694 
889 

1.059 
292 

3,544 

201 

18.090 

237 
513 
441 
299 
5.980 

747 
1,091 
1.773 



1,218 

2,195 

821 

4,574 

13,408 

994 
686 

2.748 
924 

1.076 

752 
6,970 
2.009 
1.067 

649 

1,044 

570 

1,231 

4,137 

380 

697 
7,531 
1,690 
3,920 

356 

5,437 
1,446 
2.408 
205 
1,101 



560 
787 

3,112 

608 

336 

1.549 

1.280 

929 
823 
608 
2,762 
909 

1,082 
292 

3,545 

201 

18.426 

238 
513 
441 
300 
6.032 

747 
1,096 
1.775 



1.224 

2.209 

822 

4.588 

13,459 

997 
687 

2,757 
926 

1,087 

758 
7,001 
2,016 
1.071 

660 

1,048 

572 

1.241 

4.140 

381 

698 
7.572 
1,706 
3,939 

356 

5,459 
1,455 
2,421 
213 
1,106 



5 
4 
13 
6 

4 

12 

130 



10 



2 

42 

4 

11 

2 

81 

3 

752 



37 

51 

17 

141 

448 

23 
5 
96 
16 
20 

11 

207 

24 

23 

9 

18 
16 
19 
95 
2 

22 

318 

63 

83 

6 

251 

20 

56 

5 

18 



25 
68 

68 
14 
12 
30 
26 

1 

21 

19 

113 

31 

60 
6 

194 
2 

893 

1 

15 

18 

9 

560 

10 
25 
99 



64 
234 

81 

475 

1,197 

155 
47 
280 
121 
128 

18 

592 

403 

93 

45 

149 
91 

73 

117 

73 

62 
617 
151 
418 

35 

649 

107 

315 

50 

75 



226 
256 

859 
157 
76 
334 
285 

155 
167 

167 
519 
249 

234 
99 

1,056 
75 

4,504 

99 
131 
127 

69 
913 

203 
255 

477 



353 
573 
183 
871 
2,793 

122 
147 
584 
201 
208 

134 
1,457 
430 
249 
214 

185 

105 

240 

1,180 

43 

163 
1,896 

327 

827 

71 

1,204 

381 

460 

47 

263 



173 
410 

1.614 
368 
226 
950 
665 

538 
544 
368 
1,787 
554 

484 
159 

1,615 
103 

7,921 

92 

337 

250 

187 

3,434 

486 
686 
957 



688 
1,206 

488 
2,794 
7.887 

650 

456 

1,650 

539 

684 

556 

4,352 

1,061 

631 

351 

642 

329 

841 

2,548 

253 

416 

4,102 

1,062 

2,361 

220 

3,016 
858 

1,434 

96 

667 



116 

35 

496 

51 

20 

195 

275 

233 
75 
39 

218 
45 

265 

26 

583 

18 

3,869 

43 
26 
39 
28 
989 

39 
107 

177 



65 
112 

50 
237 
990 

33 

30 

115 

38 

30 

26 
317 
68 
60 
26 

39 

25 
49 

177 
9 

30 
520 

76 
205 

21 

273 
65 

125 

6 

71 



107 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1988 — 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* 


SOUTH DAKOTA 

Aberdeen 


25,887 
14,744 
12,478 
13,815 
98,986 

16,960 
11,677 

12,329 
23,482 
13,379 
23,932 
166,045 

63,491 
26,706 
10,188 
28,807 
24,568 

15,739 
19,629 
20,214 
29,970 
15,056 

10,000 
53,576 
44,560 
32,103 
175,444 

11,190 
18.430 
11.064 
668.935 
18,654 

19,759 
43,359 
502,759 
27,650 
13,952 

11.452 
17,168 
10,598 

110,146 
10,033 
21,971 
15,917 
19,198 

167,091 
1 3,040 
15,537 

251,712 
11,279 

467,423 
19,716 
19,118 


1,158 
532 
373 
862 

4,485 

661 
481 

429 

623 

211 

1,267 

15,092 

3,048 
1.452 

388 
1,561 

741 

1,250 
859 

1,085 
525 
564 

740 

4.569 

2,371 

2.379 

11,059 

360 
625 
472 
61,159 
516 

1,145 

2,606 

37,185 

1,368 

520 

786 
674 

771 

6,612 

284 
2,074 

577 
1,180 

13.390 
276 
864 

21,622 
972 

50,673 
1.677 
1.668 


1.168 
533 
375 
870 

4.509 

661 
482 

430 
625 
215 

1.277 
15,237 

3.065 
1.454 

389 
1,574 

741 

1,251 
862 

1,087 
526 
564 

741 

4,607 

2,385 

2,390 

11.208 

363 
626 

474 
61.823 

522 

1,169 
2,614 

1,372 
521 

787 
674 

773 

6,666 

284 
2,087 

580 
1,186 

13,524 
279 
864 

21,752 
973 

51,153 
1.708 
1.669 


1 


6 

2 

6 

1 

63 


4 

1 

3 

25 


18 
4 

7 
23 
143 

8 
18 

9 
26 

5 

49 

1.693 

219 
96 
16 
74 
33 

110 

99 

160 

6 

2 

111 
519 
48 
129 
813 

17 
18 
33 
3,415 
88 

41 

205 

2,793 

145 

40 

167 
11 
34 

442 
17 
71 
18 
73 

591 
19 
10 

697 
67 

1,200 
40 
72 


143 

61 

73 

189 

807 

86 
68 

128 

131 

47 

248 

3.956 

729 
392 
50 
453 
202 

230 
153 
203 
49 
111 

197 

1,108 

519 

455 

3,700 

85 
165 
116 
16,293 
100 

327 
531 
8,866 
271 
199 

138 
180 
162 

2,223 

95 

760 

158 

208 

3,532 
41 

174 
4,968 

452 

11,990 
398 
362 


948 
428 
265 
615 
3,264 

545 

370 

232 
416 
143 
931 
7,082 

1,847 
817 
282 
945 
438 

839 
524 
656 
419 
393 

401 
2.540 
1.614 
1.630 
4.525 

211 
359 
254 
22.124 
250 

651 

1.663 

20,213 

836 

244 

420 
417 

547 

3,487 
144 

1,168 
378 
804 

8,367 
196 

623 

12,783 

417 

34.056 
1,091 
1,160 


38 
36 
22 
31 
179 

22 
16 

55 
42 
11 
34 
1,619 

173 

127 

30 

65 

58 

51 
50 

45 
48 

54 

20 

213 

143 

123 

1,574 

34 
74 
61 
13,828 
50 

116 

145 

2,816 

79 

27 

40 
54 
19 

223 
24 
55 
18 
80 

568 
19 
36 

2.483 

27 

2.119 
130 
39 


K 


Brookings 


1 






Mitchell 




i 




4 


2i 






Yankton 


1 

2 


4 

1 
3 


4 

2 
5 
5 
5 
559 

49 
15 

4 
14 

6 

18 

26 

16 

3 

4 

8 

151 

36 

35 

360 

1 
6 

5 

4.462 

24 

5 

50 

1,954 

26 

6 

19 

5 
7 

169 

1 

14 

4 

6 

258 

1 

15 

568 

5 

1.018 
17 
30 




TENNESSEE 




Bartlelt 
















11 




22 

4 

3 
1 


161 

27 
2 

C 

10 
1 

2 

5 
4 


14: 


Clarksville 


1 










Columbia 


1 


Cookeville 

Dyersburg 


2 


3 

1 

1 

14' 


Franklin 


2 

1 


Gallatin 


Germantown 








Humboldt 




3 
31 
10 

5 
66 

5 
2 
2 

863 
4 

5 
12 
464 
8 
4 

2 
5 
2 

64 

1 
4 


Jackson 


7 

1 

2 

21 

7 

1 

1 

174 


Johnson City 

Kingsport 

Knoxville 




Maryville 




McMinnville 




Memphis 


66< 




( 


Morristown 




2- 






1 


Nashville 


79 
3 




Oak Ridge 




Shelbyville 

Springfield 








Tullahoma 


2 








TEXAS 

Abilene 


4 

2 
2 

1 


5' 






Alice 


i: 


Allen 






9 
58 


( 


Amarillo 


16 


13' 










6 

110 

1 

247 
1 




Arlington 


13 
3 

43 


I3C 


Athens 




Austin 


48( 




3 


Bay City 


5 





108 



ible 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1988 — Continued 



City by Slate 



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 — Continued 



ytown 
aumont 



dford . 
eville 
llaire 
Iton ... 
nbrook 



g Spiing . 

rger 

enham . . . 
ownfield . 
I ownsville 

ownwood 

I yan 

lAbumelt 
irleson . . . 
inyon 



irrollton 

:dar Hill .... 

ebume 

)llege Station 
jnroe 



'I ipperas Cove 
3rpus Christi 

orsicana 

alias 

eer Park 



el Rio 
enison 
'enton 
'eSoto . 
lonna . 



tumas 

tuncanville 
agle Pass . 
dinburg . . . 
1 Campo 



.1 Paso 

nnis 

.uless 

'araiers Branch 
■oresl Hill 



■on Worth . 

■reeport 

"riendswood 
jainesville . . 
jalena Park 



' jalveston 

jarland 

jeorgelown . . 
jrand Prairie 
jrapevine . . . 



areenviUe 

jroves 

Haltom City 
Harlingen . . . 
Henderson . . 



67,634 
117,129 

33,649 
15,153 
14,471 
12,966 
19,309 

25,229 
15,564 
13,169 
10.338 
104,579 

18,338 
60.656 
10,777 
17,575 
11,678 

65,206 
12,647 
23,781 
44,756 
21,961 

20,221 

261,984 

23,574 

1,017,818 

25,329 

35,470 
24,958 
60,704 
25,801 
12,805 

12,848 
35,578 
27,197 
32,645 
10,686 

501,544 
13,888 
29.397 
29,828 
14,834 

432,889 
12,182 
23,170 
13,955 
10,019 

59,239 
179,014 
16,235 
97,194 
21,154 

24.899 
16,060 
33,699 
56,310 
11,845 



4,271 
12,676 

2.275 
721 
708 
695 
625 

2,014 

556 

595 

614 

10,567 

1,513 

5,660 

334 

790 

205 

5,137 
962 
1,367 
3,548 
1,905 

1,106 

28,364 

2,135 

170,402 

678 

1,799 
2,532 
6,266 
1,993 
686 

334 
2,444 
1,180 
1,314 

519 

50,980 

879 

2,343 

1,946 

1,054 

74,262 
778 
543 
985 
270 

6.718 

11,232 

844 

8.644 

1,206 

3,470 
654 
3,484 
4,285 
1,022 



4,306 
12,751 

2,281 
722 
717 
698 
626 

2,045 

562 

596 

616 

10,583 

1,536 

5,677 

336 

798 

206 

5,149 
963 
1,374 
3,553 
1,910 

1,108 

28,510 

2,150 

171,772 

680 

1,802 
2,550 
6,290 
2,003 
686 

336 
2,480 
1,182 
1,322 

524 

51,309 

885 

2,359 

1,949 

1,067 

74,632 
782 
548 
988 
278 

6.754 

11,314 

848 

8,648 

1,212 

3,480 
654 
3,487 
4,293 
1,025 



10 



1 

26 

4 

366 



12 



20 
141 

9 
1 

7 
5 
7 

12 
2 
6 
2 

84 

16 
44 



4 
1 

12 
3 
2 

16 

13 

11 

171 

13 

1,306 

5 



242 
4 

17 
6 

10 

489 
6 



121 
560 

37 
2 

21 
6 

12 

33 
5 

10 

5 

205 

18 
90 

2 
10 

1 

68 
12 
12 
33 
39 

6 

510 

35 

9,647 

9 

14 

36 

104 

25 
2 

1 
58 

7 

12 
4 

1,088 

8 

41 

27 
40 

3,115 
II 



254 

208 

7 

238 

13 



193 
697 

21 
121 
22 
33 
21 

156 

14 

44 

102 

1,106 

59 

347 
20 
13 



94 
20 
26 
64 
94 

80 
1,294 

45 
9,816 

48 

128 

211 

322 

19 

82 

1 
33 
32 
78 
12 

3,144 
16 
92 
43 
29 

3,625 

25 

24 

24 

3 

239 

285 

21 

367 

27 

636 
16 
41 

151 
35 



1,132 
3,812 

429 
149 
150 
202 
135 

561 
119 
132 
143 
2,490 

385 

1,683 

75 

185 

47 

1,383 
382 
160 
849 
461 

248 

7,999 

427 

42,543 

245 

421 
591 
1,594 
571 
280 

60 
680 
186 
342 
143 

12,163 
282 
521 
475 
373 

19,106 

229 

141 

359 

64 

1,609 
3,415 

189 
2,081 

255 

822 
188 
928 
910 
236 



2,219 
6,672 

1,607 
431 
444 
425 
389 

1,208 
371 
386 
351 

5,323 

970 
3,211 
214 
522 
133 

3,220 
493 
1,078 
2,423 
1,140 

731 

17,096 

1,488 

82,366 

315 

1,165 
1,584 
3,929 
1,155 
278 

268 
1,437 
875 
779 
341 

29,368 

493 

1,455 

1,207 

491 

38,473 
452 
339 
515 
174 

3.958 

6,433 

596 

4,757 
795 

1802 

413 

2,106 

2,784 

674 



579 
783 

172 
15 
62 
24 
61 

40 

44 

16 

9 

1,350 

65 
275 
23 
56 
15 

356 

52 

88 

163 

157 

29 

1,268 

123 

24.358 

56 

69 
104 
287 
215 

42 

4 

232 

75 

92 

18 

4,944 

73 

216 

188 

110 

9,357 
55 
31 
71 
24 

567 

801 

26 

1,146 

106 

143 

27 
325 
398 

47 



109 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1988 — 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 



TEXAS— Continued 

Hereford 

Houston 

Humble 

Huntsville 

Hurst 

Irving 

Jacinto City 

Jacksonville 

Katy 

Kerrville 

Kilgore 

Killeen 

Kingsville 

Lake Jackson 

La Marque 

Lamesa 

Lancaster 

La Porte 

Laredo 

League City 

Leon Valley 

Levelland 

Lewisville 

Lockhart 

Longview 

Lubbock 

Lufkin 

Mansfield 

Marshall 

McAllen 

McKinney 

Mercedes 

Mesquite 

Midland 

Mineral Wells 

Mission 

Missouri City 

Mount Pleasant 

Nacogodoches 

Nederland 

New Braunfels 

North Richland Hills 

Odessa 

Orange 

Palestine 

Pampa 

Paris 

Pasadena 

Pearland 

Pecos 

Pharr 

Plainview 

Piano 

Port Arthur 

Portland 

Port Lavaca 

Port Neches 



15,127 
1,725,421 
12,195 
32,864 
35,423 

130,353 
11,107 
12,822 
10,544 
20,162 

11,908 
60,054 
28,164 
20,525 
15,348 

11,787 
20,720 
24,980 
120,027 
24,685 

12,188 
14,469 
30,407 
10,132 
71,744 

188,749 
32,071 
12,748 
24,160 
86,165 

21,345 
14,388 
89,958 
94,859 
15,109 

32.304 
31,066 
11,766 
28.733 
16,343 

28.818 
44.302 
96.770 
24.656 
19.475 

20.977 
26.434 
117.812 
16.843 
12.967 

26.811 
22.778 
115.213 
60.919 
12.265 

11.789 
13.667 



1.017 
177.912 
2.232 
2.224 
2.932 

13,580 

546 

1.062 

233 

865 

1.151 
4.998 
1.929 
808 
1,068 

579 

1,572 

912 

10,600 

896 

963 
649 

4,102 
460 

6,114 

17,666 
2,583 
1,129 
1,614 
9,930 

1,711 

550 

10,188 

5,952 

1,175 

1,725 
1,794 

836 
1,780 

858 

1,890 
2,882 
10,903 
2,427 
1,607 

1,251 
3,415 
9,074 
1,145 
523 

2,446 
1,695 
6,202 
5,133 
481 

481 
592 



1,019 
179.696 

2,237 
2,227 
2,934 

13.622 

546 

1.063 

233 

876 

1.152 
5.024 
1.941 
811 
1.068 

586 

1,585 

921 

10,659 

917 

965 
658 

4,115 
461 

6,152 

17,723 
2,584 
1.136 
1.627 
9.947 

1.711 

551 

10.218 

5.977 



1.730 
1.827 

850 
1.787 

860 

1.898 
2.894 
10.959 
2.435 
1.619 

1.254 
3.441 
9.141 
1.145 
523 

2.453 
1.708 
6.228 
5.186 
482 



1 
440 



24 



4 
1,206 

3 

12 
13 

74 
3 
4 
1 
3 

II 

53 

16 

1 

9 



106 

12 
3 
19 
18 

II 

3 

36 

52 

4 

7 
9 



485 
592 



3 

10,049 

45 

30 



279 

12 

11 

3 

3 

17 
96 
26 

3 
35 

5 

22 

14 

178 

16 

9 

1 

46 

4 

153 

327 
34 
13 
28 
61 

23 

5 

201 

74 

13 

5 
48 
13 
45 
11 

39 
35 
98 
91 
24 

15 

39 

140 

14 

2 

21 

17 

79 

162 

4 



108 

1,122 

50 

82 

118 

319 

11 

66 

8 

92 

77 

114 

127 

7 

18 

24 
23 
68 
562 
11 

15 
34 
71 
59 
163 

540 
131 
42 
130 
321 

182 

55 

372 

348 

35 

66 

61 

31 

133 

7 

190 
71 
290 
117 
160 

49 

385 

507 

59 

40 

90 

78 

93 

415 

7 

27 
10 



168 
50,178 

337 
467 
471 

2,849 

131 

286 

57 

202 

303 
1,625 
615 
112 
328 

146 
526 
224 
2.189 
258 

148 
144 
886 
144 
1.792 

4.687 
767 
243 
370 

1.593 

405 

170 

2.270 

2,039 

380 

397 
774 
293 
462 
167 

415 
690 
2.458 
620 
434 

310 

742 

2.174 

245 

102 

735 

446 

1,566 

1,868 

125 

103 
122 



686 

77,492 

1,350 

1,530 

1,891 

8,746 
318 
654 
159 
528 

681 

2,960 

1,106 

650 

603 

392 
862 
511 
6,860 
534 

678 
451 

2,715 
226 

3,588 

11,200 

1,522 

768 

995 

7,203 

1,031 

292 

5,995 

3,118 

663 

1,117 
752 
462 

1,016 
635 

1,162 
1,742 
7,618 
1,514 
929 

815 

2.038 

5.043 

670 

363 

1,413 
1,086 
4,021 
2,354 
330 

327 
409 



47 

30,425 

447 

103 

358 

1,307 

71 

40 

5 

36 

59 

142 

37 

34 

74 

10 
136 

73 
788 

74 

103 

18 

368 

27 
352 

782 

117 

60 

71 

731 

57 

24 

1,309 

316 

80 

132 
145 

37 

112 

37 

82 

321 

398 

64 

44 

52 

184 

1,158 

154 

9 

178 

58 

423 

276 

10 

17 
40 



110 



1 it 6— Number of Offenses Known 


to the Police, Cities and Towns 10,000 and over in Population, 1988— 


Continued 








City by Stale 


Population 


Crime 
Index 
tola! 


Modified* 
Crime 
Index 
total 


Murder 
and non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglar\ 


Larcen\- 
theft 


Motor 
vehicle 
theft 


Arson* 


TEXAS— Continued 


10,127 
79,306 
10,068 

16,188 
13,124 
21,516 
23,388 
10,577 

87,113 
935,729 
22,194 
11,482 
30,099 

21,134 
31,937 
12,974 
14,421 
13,043 

21,082 
14,542 
12,183 
12,409 
46,967 

14,992 
33,283 
41,569 
30,241 
75,665 

12,956 
25,040 
16,848 
12,709 
56,250 

12,482 
11,374 
106,197 
20,367 
18,810 

18,094 
25,250 
13,314 
18,029 
98,809 

15,450 
34,786 
16,826 
12,269 
10,826 

22,851 
12,469 
35,561 
29,107 
11,647 

24,263 
10,828 


434 

4,791 

476 

597 

867 

1,654 

1,574 

671 

5,981 

116,773 

1,032 

839 

1,714 

2,123 
3,608 

307 
1,121 

656 

459 
820 
686 
741 
3,450 

1,166 
4,264 
3,893 
1,161 
9,298 

790 
1,042 

554 

677 

4,271 

572 

304 

13,718 

637 

1,779 

1,061 

2,250 

530 

1,133 

10,215 

707 
1,125 
4''7 
415 
276 

779 

345 

1,797 

1,260 

1,148 

3,403 
242 


436 
4,798 

604 

871 
1,699 

1,577 
672 

117,689 

1,033 

841 

1.728 

2.136 
3.626 

307 
1.124 

658 

460 
825 
686 
745 
3.456 

4,312 
3,936 
1,161 
9,326 

797 

1,045 

554 

688 

4,287 

572 

306 

13,772 

638 

1,790 

1,064 

2,256 

531 

1,133 

10,315 

707 

480 
415 

784 

1,266 

3,405 
242 


1 
4 


2 
13 


2 
76 
13 

10 

7 

37 

7 

3 

55 

2,859 

10 

6 

25 

15 
91 


62 

107 

8 

83 

36 

169 

88 

23 

323 

1,736 

43 

32 

117 

238 

137 

28 

30 

16 

3 

41 

50 

42 

122 

70 
76 

208 
17 

355 

27 

4 

50 

75 

376 

9 

4 

609 

23 

34 

30 

173 

6 

25 
384 

11 
40 
20 
23 
6 

19 
16 
107 
20 
24 

72 
2 


174 

1,234 

138 

180 

377 
311 
335 
235 

1,474 

27.673 

339 

251 

318 

586 

913 

48 

272 
125 

91 
192 
150 
169 

725 

368 
1.442 
1,000 

292 
2,289 

144 
195 
173 
213 
1,120 

173 

87 

4,128 

160 

407 

260 
481 
171 
185 
2,811 

85 
195 
52 
41 
49 

107 
59 
277 
127 
183 

486 
21 


175 

3,063 

283 

288 

395 

1,055 

1,065 

380 

3,944 

70,626 

579 

504 

1,122 

1,217 

2,186 

213 

566 

486 

320 
504 
449 
490 
2,365 

623 
2,485 
2,297 

807 
5,933 

565 
741 
304 
338 
2,569 

359 
185 

7.931 
406 

1.166 

703 

1.463 

300 

790 

6,074 

577 
844 
382 
320 
209 

600 

259 

1,334 

1,065 

880 

2,699 
215 


18 

294 

34 

31 
47 
64 
49 
28 

159 

13,201 

52 

44 

110 

53 
266 

16 
220 

23 

37 
61 
23 
21 
136 

58 
156 
229 

41 
475 

47 
80 
26 
30 
138 

24 
21 

631 
32 

140 

62 
113 

43 
121 
606 

28 
37 
20 
30 
11 

45 
10 
64 
38 
48 

116 
3 


2 


lardson 


7 


iland Hills 








5 

3 

15 

30 

2 

21 

535 

9 

t 

20 

12 
12 

2 
2 

4 


7 




2 

3 


4 


enberg 

nd Rock 

'lelt 


45 
3 




1 




5 
143 






916 




1 






2 


Marcos 


2 

2 
3 


14 




13 




18 


ier 




h Houston 


1 
1 


30 
1 

8 
13 
10 
15 
64 

40 

82 

128 

1 

148 

6 
20 

1 
16 
46 

5 

3 

311 

15 

25 

3 

15 

9 

9 

258 

1 
5 


3 




2 




1 




1 
1 


8 

3 

4 

38 

5 
18 
30 

1 
84 

1 
2 


5 


stwaler 




or 


4 


tnle 




6 


l-ell ■ 


2 
5 
1 
1 
14 




1 irkana 


48 


1 as City 


43 






■r 


28 


1 vcrsal City 


7 






3 


ilde 






non 


2 
6 


3 
16 

2 

4 

94 


11 




16 


or 




ace ... 




2 


;o 


14 
1 
4 


54 




1 


icahachie 


3 
3 


11 


atherforJ 


3 




5 


6 




1 

1 

67 

5 
4 
3 


1 


ite Settlement 


2 
15 




■:hita Falls 


100 


UTAH 










jham City 




3 


lar City 




1 
1 

2 




Iterville 










1 


5 
1 
3 
6 
5 

12 
1 


5 


!/sville 




!lon 




12 
4 
7 

18 




. ;an 




6 


Ivale 


1 




rrav 


2 


rth Ogden 







111 



Table 6. — Number of OiTenses Known to the Police, Cities and Towns 10,000 and over in Population, 1988— 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 



UTAH— Continued 



Ogden 

Orem 

Pleasant Grove 



Prove 

Roy 

Saint George . 
Salt Lake City 
Sandy 



South Jordan . . . 
South Ogden . . , 
South Salt Lake 
Spanish Fork ... 
Springville 



Tooele 

West Jordan 
West Valley 



VERMONT 



Barre 

Bennington 
Bratlleboro 
Burlington 
Colchester 



South Burlington 
Springfield 



VIRGINIA 



Alexandria 

Alexandria State Police 

Arlington , 

Arlington State Police 
Blacksburg 



Bristol 

Charlottesville 

Chesapeake 

Chesapeake State Police 
Christiansburg 



Colonial Heights 

Colonial Heights State Police 

Danville 

Danville State Police 

Fairfax City 



Fairfax City State Police .. 

Fredericksburg 

Fredericksburg State Police 

Front Royal 

Hampton 



Hampton State Police ... 

Harrisonburg 

Harrisonburg State Police 

Hemdon 

Hopewell 



Leesburg 

Lynchburg 

Lynchburg State Police 

Manassas 

Martinsville 



68,557 
62,314 
17,251 

78,390 
23,871 
21,473 
162,005 
68,947 

11,278 
12,433 
12,618 
11,038 
13,456 

15,751 
45,439 
92,812 



109,583 
161,582 



30,901 

18,281 
41,741 
143,707 



12,379 

17,570 



44,788 
20,718 



21,033 



12,869 
129,997 



27,624 



17,732 
24,578 

11,751 
67,741 



6,056 

2,772 
486 

3,114 
1,018 
1,093 
21,764 
2,756 

185 
844 
1,975 
531 
495 

596 
1,968 
6,429 



10,343 


379 


16,877 


579 


12,788 


993 


39,351 


3,935 


14,986 


663 


11,731 


1,167 


10,251 


354 



21,531 
18.382 



7,495 

3 

9,408 

10 

1,284 

876 

2,937 

7,003 

13 

796 

501 

1 

1,826 

3 

1,383 

2 

996 

U 

649 

7,197 

18 

1,346 

6 

531 

1,435 

589 

3,581 

6 

1,136 

1,286 



1,098 
21,891 



844 
1,981 



495 



1,968 
6,459 



7,533 

3 

9,468 

10 

1,306 

886 

2,947 

7,103 

14 

796 

509 

1 

1,830 

3 

1,392 

2 

998 

It 

658 

7,256 

18 

1,351 

6 

537 

1,450 

589 

3.613 

6 

1,140 

1,291 



46 



15 

1 

3 

487 

17 

1 

4 

24 

4 



2 

1 


1 


7 


5 


18 


23 


3 


5 


4 


4 


3 


1 



434 



351 
2 
5 

9 
63 

225 
2 
4 



20 

1 

6 

204 



118 

109 

14 

143 
55 
16 

444 
62 

4 
26 
45 

1 

7 

16 

14 

172 



256 
1 

272 

2 

16 

33 

140 

276 

2 

10 



39 

1 

22 

198 

1 
24 



2 
259 



990 

235 

80 

566 
122 
135 
3,594 
529 

33 

144 

319 

85 

69 

134 

307 

1,017 



1,359 
1,282 



239 

162 

530 

1,846 



127 

63 

296 

169 



105 



96 
1,305 



212 



80 
325 



116 
518 



4,590 

2,329 

374 

2,257 

796 

887 

16,202 

2,053 

130 
619 
1,480 
413 
402 

401 
1,567 
4,829 



11 


56 


294 


16 


142 


389 


24 


199 


721 


38 


1,000 


2,697 


7 


170 


450 


18 


158 


952 


10 


74 


250 



4,246 



15 
100 



171 
273 



6,364 

4 

1.000 

638 

2,049 

4,122 

6 

617 

389 
1 

1,378 
3 

1,019 

1 

779 

9 

482 

5,045 

15 

1,058 

6 

405 

953 

417 

2,551 

6 

848 

816 



218 
92 
15 

114 
38 
47 

932 
79 

16 
46 
92 
24 
16 

40 

72 
325 



15 
31 
37 
159 
28 

30 
16 



1,141 
2 

1,086 

2 

21 

32 

136 

501 

3 

35 

24 



67 
153 



47 



43 
393 



2 
44 



20 
33 



42 
156 



82 
59 



112 



ible 6.— Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population. 1988— Continued 



City by State 



Populaiior 



Crime 
Index 
total 



Modified* 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglar>' 



Larceny- 
theft 



Motor 
vehicle 
theft 



VIRGINIA— Continued 



irtinsville Stale Police ... 

uport News 

\vport News State Police 

-rtulk 

irtolk State Police 



[ersburg 

ersburg Stale Police 

qiioson 

nsniouih 

rtsmouth State Police 



dford 

dford Slate Police .. 

timond 

hinond State Police 
anoke 



anoke State Police 

em 

em Slate Police .., 

union 

union Stale Police 

Tolk 



1-. 



ginia Beach 

-ginia Beach State Police 
iNTicsboro 



i\nesboro State Police 

Ihamsburg 

lliamsburg Stale Police 

nchester 

nthester State Police .. 



WASHINGTON 



lerjeen . 
la^orles . 
iburn 
llevuc 
llmgham 



■^ Moines 
monds .. 
■ensburg . 
erett 



■nnwood 

ercer Island 

ountlake Terrace 

ount Vemon 

ak Harbor 



-■nnewick 

.•nl 

rkland . . 

cey 

mgview 



ympia 

»sco 

«rt Angeles 

tUman 

lyallup . . , . 



165,340 
285.180 



41,944 



11.070 
111,818 



13,914 
219,979 
101,662 



24,171 
24,781 



53,014 

18,134 

355,562 



18,382 



12,187 
22,445 



I 

9,127 

6 

22,129 

16 

3,556 

4 

257 

8,967 

3 

338 

1 

20,114 

25 

8,362 

2 
954 

2 

747 

5 

2,573 

531 

19,339 

24 

776 

I 

481 

2 

1,346 

2 



16,965 


1,821 


1,828 


10,323 


585 


586 


31,038 


3,123 


3,157 


84,133 


5,496 


5,545 


46,243 


3,781 


3,802 


14,230 


1,023 


1.028 


30,122 


1,409 


1,409 


11,671 


714 


715 


63,952 


6,111 


6,151 


10,963 


1,111 


1,112 


40.365 


3,687 


3,700 


30,061 


3,542 


3,582 


20,103 


1,987 


2,000 


16,428 


1,348 


1,348 


29,884 


2,194 


2,220 


25,843 


3,240 


3.289 


21,423 


491 


498 


16.660 


1,133 


1.141 


14,847 


1,232 


1.233 


14,009 


615 


619 


31,229 


2,518 


2.519 


19,278 


2,899 


2,906 


18,238 


1,455 


1,471 


23,804 


485 


487 


20,229 


1,713 


1,721 



1 

9.188 

6 

22.321 

16 

3,566 

260 

9.219 

4 

^48 

I 

20,187 

25 

8,439 

2 
956 

2 
750 

5 

2.597 

539 

19.491 

24 

786 

1 

483 

2 

1.349 

2 



23 



74 
200 



391 

1 

1,104 



35 



64 



202 
39 



16 

1 

108 



224 



415 



982 

3 

186 



106 

8 

327 

7 



10 
2 
30 
42 
34 

18 

7 

3 

115 

11 

24 
58 
24 
9 
30 

32 
3 
9 

II 



398 



855 

2 

205 

3 

20 

412 

1 

2 



1,301 

6 

261 



233 
7 

255 

6 

31 



31 

14 

122 

104 

92 

5 
24 
29 
72 
15 

49 
48 
30 

24 
54 

45 
7 
15 
54 
18 

34 
108 

24 
27 
13 



2,263 



4,234 
1 



21 
1,795 



57 
4,773 
1,862 



137 
110 



575 

78 

3.808 



147 



51 
215 



325 

81 

719 

1,003 

742 

234 
293 
147 
1,598 
245 

931 
801 
402 
239 
706 

526 
128 
224 
206 
80 

400 

771 

285 

86 

331 



1 

5,430 

3 

13,908 

9 

2.024 



212 
5,179 

1 

247 

10.554 

11 

5.771 

1 
763 

1 
570 

5 

1.481 

413 

13,995 

17 

547 

1 

377 

2 

1,012 



1,396 
466 

2,037 
4,064 
2,677 

680 
1,019 

506 
3,827 

774 

2,548 
2.329 
1.381 
1.002 
1,296 

2.419 
341 
821 
911 
481 

1.903 

1,792 

1.055 

331 

1.243 



557 

2 

1,780 

4 

181 

1 

4 

1,079 

1 

30 



2,203 

5 

230 



155 
24 

819 

1 

40 



21 



50 
21 
191 

255 
205 

76 
55 
28 
441 
50 

116 
280 
141 
61 
102 

202 
10 
56 
45 
32 

137 

146 

77 

33 

90 



113 



Table 6. — Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1988 — Continued 



Population 



Crime 
Index 
total 



Modified* 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



WASHINGTON— Continued 

Redmond 

Renton 

Richland 

Seattle 

Spokane 

Tacoma 

Vancouver 

Walla Walla 

Wenatchee 

Yakima 

WEST VIRGINIA 

Beckley 

Bluefield 

Charleston 

Clarksburg 

FaiiTOont 

Huntington 

Martinsburg 

Morganlown 

Moundsville 

Parkersburg 

Saint 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 

Gentnantown 

Glendale 

Green Bay 

Greendale 

Greenfield 

Janesville 

Kenosha 

La Crosse 

Madison 

Manitowoc 

Marinette 

Marshfield 

Menasha 

Menasha Town 



30,071 

35,767 

33,336 

505,380 

175,176 

165,234 
45,621 
25,388 
18,493 
50,138 



19,187 
14,456 
56,416 
19,708 
21,821 

57,344 
13,674 
26,163 
11,475 
38,216 

11,699 
14,601 
11,275 
22,358 
38,906 



65,065 
15,605 
13,877 
33,405 
34,555 

12,595 
21,871 
12,953 
19,160 
16,347 

55,495 
14,528 
36,719 
10,370 
19,837 

12,298 
14,039 
95,081 
16,453 
32,209 

51,245 
75,577 
48,470 
179,010 
31,902 

12,294 
20,382 
14,930 
13,574 



1,734 

4,180 

1,306 

72,694 

16,546 

23,603 
3,707 
2,639 
1,984 
8,651 



817 
454 

6,307 
479 

1,021 

4,198 
1,114 
1,048 
440 
1,781 

412 
368 
343 
457 
1,156 



2,961 

907 

630 

2,500 

1,123 

512 
403 
365 
959 
556 

3,339 
468 

2,227 
383 
392 

358 
1,170 
4,555 

543 
1,518 

3,166 
3,937 
3,119 
11.783 
1,443 

519 
740 
758 
405 



1,735 

4,196 

1,314 

73,023 

16,638 

23,757 
3,747 
2,666 
1,993 
8,673 



819 
454 

6.377 
483 

1,040 

4,291 
1,130 
1,062 
441 
1,820 

413 
368 

343 
462 

1,177 



2,976 

909 

6.30 

2,521 

1,128 

512 
417 
365 
981 

557 

3,371 
468 

2,240 
387 
395 

359 
1,171 
4,586 

544 
1,518 

3,195 
3,980 
3,124 
11,884 
1,445 

522 
743 
759 
408 



33 



22 

15 

439 

84 

279 
47 
24 
14 
41 



22 

62 

12 

2,709 

416 

1,104 

73 

31 

15 

198 



10 

7 

154 

4 

28 

110 



31 

21 

2 

16 

14 

79 

12 

214 



1 

46 

9 

3,675 

624 

1,365 

181 

201 

28 

439 



5 

17 

187 

30 

16 



191 



II 

201 

6 

15 

103 
63 
46 

158 
18 



30 



333 

811 

315 

16,880 

4,884 

6,123 
951 
744 
440 

1,917 



188 

124 

1,189 

75 

288 

972 
250 
193 
119 



83 

59 

23 

120 

515 



577 

50 

27 

472 

146 

54 
102 

48 
203 
128 

508 
79 

252 
24 
85 

67 
86 

593 
21 

186 

601 
907 
230 
2,063 
219 

46 
81 
181 
68 



1,294 

2,893 

914 

43,196 

9,784 

13,170 
2,102 
1,563 
1,384 
5,734 



598 
287 
4,297 
340 
649 

2,633 
741 
796 
290 

1,125 

287 
257 
309 
288 
430 



2,257 
824 
580 

1,813 
918 

422 
256 
302 
673 
394 

2,671 
362 

1,900 
345 
284 

285 
944 

3,562 
486 

1,164 

2,312 
2,616 
2,709 
8,503 
1,163 

451 
606 
560 
299 



114 



bit 6.— Number of Offenses Known to the Police, Cities and Towns 10,000 and over in Population, 1988— Continued 



City by State 



WISCONSIN— Continued 

■nimionee Falls 

•nomonie 

■quon 

FTlll 

ddk'ton 

Iwjukee 

in roc 

)uni Pleasant 

iskego 

enah 

w Berltn 

k (reek 

onomowoc 

ala'>ka 

nkosh 

aiant Praiiie 

Ltne 

■ er Falls 

^boygan 

irewood 

jth Milwaukee 

M'ns Point 

T I'raiiie 

n Rivers 

itcriown 

iukesha 

tusau 

luuatosa 

■si Mlis 

si Bend 

•slon 

TiiL-tish Bay 

niiLwater 

iSLonsin Rapids 

W\OMING 

^Pcr 

ic>Lrine 

ansiort 

Ill-lie 

et'n River 

ramie 

)ck Springs 

eridan 



Population 



27,652 

13,243 
17,288 
10,436 
13,653 
611,140 

10,754 
20,572 
16,528 
23,696 
31.979 

18,200 
10,535 
11,159 
51,816 
12,351 

83,665 
10.356 
47.687 
14.473 
20,493 

22,605 
14,508 
13,111 
19,589 
54,612 

32,297 
50,136 
64,579 
23,293 
11,079 

14,413 
11.946 
19,578 



42,700 
52,122 
10,892 
20.601 
13.637 

23.709 
20.122 
15.125 



Crime 
Index 
total 



782 

858 
244 
396 
415 
49.424 

339 
514 
255 
847 

758 

679 
394 
387 
2,860 
386 

6,761 
343 

2.724 
478 
704 

1.513 
562 

527 

669 

1.442 

1.789 
1.691 
2,908 
1,015 
362 

316 
409 
996 



2,696 

2,655 

426 

923 

569 

1,188 

1,155 

516 



Modified- 
Criinc 
Index 
total 



782 

860 
244 
396 
416 
49,767 

342 
517 
255 
847 

771 

683 
398 
388 
2,876 
390 

6.814 
345 

2.757 
484 

737 

1,523 
574 
533 
669 

1.464 

1.795 
1.691 
2.948 
1,024 
362 

316 
410 
999 



2,722 

2,664 

426 

928 

575 

1,188 

1,170 

527 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



1 

1 

400 



1 

3 

2,111 



9 

5 

244 



Aggra- 
vated 
assault 



1 
1 

8 
2,445 

4 
16 

2 



242 

1 

89 

2 

24 

26 

27 
2 

1 
69 

49 

31 

128 

20 



187 
53 
33 
75 
14 

20 
160 

27 



Burglary 



108 

72 
39 
63 
44 
8,787 

47 
107 

54 
136 
171 

107 
38 
45 

403 
41 

1,654 

24 

467 

168 

123 

191 
63 
95 
109 
176 

184 
315 
582 
105 
47 

48 
60 
145 



Larceny- 
theft 



609 

752 
194 
318 
345 
28,924 

265 
352 
189 
666 
520 

505 
303 
328 
2,340 
312 

4,195 
307 

2,072 
251 
519 

1,250 
437 
410 
529 

1,112 

1,488 

1,192 

2,042 

868 

277 

251 
337 
758 



604 


1,774 


332 


2,154 


63 


313 


110 


704 


83 


464 


118 


989 


182 


764 


60 


392 



Motor 
vehicle 
theft 



50 

29 
8 

12 

14 

6,676 

23 

32 

8 

17 
40 

47 
24 
12 
62 
16 

331 

9 

69 

36 

28 

36 
26 
20 

27 
59 

64 
115 
111 
20 
28 

10 
10 

24 



HI 

81 

16 

26 

7 

50 
31 

27 



'Data for 1988 were not available for the States of Florida and Kentucky, See "Offense Estimation", page 3 for details. 

^Forcible rape figures furnished by the stale-level Uniform Crime Reporting (UCR) Program administered by the Illinois Department of Slate Police were not in accordance with national UCR 
idelines. Therefore, the figures were excluded from the forcible rape. Crime Index total, and Modified Crime Index total calegones. 
M988 aggravated assault figures are not comparable to pnor years. 



115 



Table 7. — Number of Offenses Known to the Police, Universities and Colleges, 1988 

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



University/College 



Student 
enroll- 
ment' 



Violent- 
crime 
total 



Violent Crime 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Propcny 
crime 
total 



Properly Cnme 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



ALABAMA 

Auburn University: 

Main Campus 

Montgomery 

Jacksonville State University 

Troy State University 

University of Alabama, Tuscaloosa . . . 
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 

CAlJfORNIA 

Cabrillo College 

California State Polytechnic University: 

Pomona 

San Luis Obispo 

California State University: 

Bakersfield 

Chico 

Dominguez Hills 

Fresno 

FuUerton 

Hayward 

Long Beach 

Los Angeles 

Northridge 

Sacramento 

San Bemadino 

San Diego 

San Jose 

Stanislaus 

College of Marin 

College of the Sequoias 

Contra Costa Community College 

Foothill-Deanza Community College .. 

Humboldt State University 

Merced College 

Pasadena Community College 

San Francisco State University 

San Jose Community College 

Sonoma State University 

University of California: 

Berkeley 

Davis 

Irvine 

Lawrence Berkeley Laboratory 

Lawrence Livermore Laboratory 

Los Angeles 

Riverside 

Sacramento 

San Diego 

San Francisco 

Santa Barbara 

Santa Cruz 

West Valley College 



19.363 
5,183 
6.814 
3.953 

16.210 
9.728 



42,014 
3,706 
13,155 
22,959 
31,563 
5,152 



14,452 

10,294 

1,331 



10,794 



17,679 


2 


15,875 


3 


4 320 




14,862 


4 


7,327 


8 


17,756 


4 


24,277 


3 


12,373 


8 


33,586 


7 


20,773 


7 


29.880 


14 


23.673 


4 


7.423 


1 


35.010 


10 


26.507 


25 


4,621 


1 


8.538 


1 


7.730 




7.007 


14 


13.565 


•> 


5.865 


3 


6.292 


I 


20.067 


9 


25,871 


8 


9,701 


2 


5,746 


I 


31,463 


50 


19,809 


14 


14,532 


13 


(4) 




(4) 




34,418 


21 


5,726 


8 


(4) 


9 


15,912 


9 


3,608 


9 


1 8.003 


8 


8,589 


14 


13,415 


1 



446 
74 

136 
II 

578 

123 



1,255 

18 

570 

106 

1,069 

67 



417 

91 

200 



65 

382 
488 

59 

517 

97 

527 

345 

148 

448 

592 

361 

370 

100 

1,343 

434 

84 

87 

46 

219 

151 

280 

102 

157 

576 

74 

172 

1,673 

1,334 

693 

51 

92 

1,426 
313 
242 

1,160 
515 
680 
411 
136 



43 


398 


5 


65 


10 


126 


2 


9 


54 


512 


17 


102 



113 
5 
I 



27 

25 
37 

10 
45 
37 
75 
27 

7 
41 
30 
16 
37 
II 
49 
107 

2 
23 

4 
20 

9 
16 

8 
II 
38 

I 
II 

144 
71 
52 



I 
334 
31 
13 
107 
51 
37 
61 



99 


1,103 


5 


13 


69 


492 


12 


91 


173 


859 


7 


58 



287 

80 

196 



35 

300 

444 

49 
462 

44 
428 
263 
134 
342 
459 
291 
284 

74 

1,136 

314 

82 

62 

42 
183 
141 
262 

94 
146 
480 

73 
161 

1,431 

1,233 

606 

50 

91 

864 

243 

216 

943 

453 

633 

335 

136 



See footnotes at end of table. 



116 



Me 7. — Number of Offenses Known to the Police, Universities and Colleges, 1988— Continued 



Univereity/Coilcgc 



COLORADO 

ims State College 

pahoe Community College 

aria Higher Education Center 

orado School of Mines 

orado State University 

I Rocks Community College 

versity of Colorado: 

oulder 

olorado Springs 

ledical Center 

versity of Denver 

versity of Northern Colorado 

versity of Southern Colorado 

CONNECTICUT 

tral Connecticut State University 
;em Connecticut State University . 
them Connecticut State University 
versity of Connecticut: 

very Point 

ealth Center 

lain Campus 

-.tern Connecticut State University 
I ; University 



FLORIDA' 



GEORGIA 



any State College 

rokee College 

umbus College 

irgia Southern College 

>rgia Southwestern College 

irgia State University 

mesaw College 

Itlical College of Georgia 

rth Georgia College 

-them Technical Institute . 

th Georgia College 

versity of Georgia 



nxiNois* 



cago State University 

lege of DuPage 

tern Illinois University 

«mors State University 

lois State University 

et Junior College 

(e County College 

rtheastem Illinois University 
nbem Illinois University ... 
(them Illinois University: 

i^bondale 

dwardsville 

ith Suburban College 

ton College 

iversity of Illinois: 

Chicago 

Irbana 

stem Illinois University 



INDL^NA 



'iana University: 
tloomington . . . 

iary 

ndianapolis 

Jew Albany .... 



Student 
enroll- 
ment' 



1,902 
(4) 
3,712 
7,609 
2,071 

21,835 
7,275 
2,312 
2,028 
3,762 
854 

25,698 



7,763 
23,155 
10,653 

5,568 
21.926 

9,303 
11,309 
10,638 
24,680 

23,446 

10,843 

6,474 

17,871 

25,330 
39,274 
12,075 



32,417 
4,622 
3,013 
4,648 



Violcnt- 
cnme 
total 



3,317 
6 938 


6 


(4) 
2,561 
18,856 
4,151 


2 
2 
9 


23,590 
5 702 


8 


1,468 




6,870 

10,800 

3,696 


1 

17 

1 


13,348 
4,203 
11,297 


1 
3 
9 


(4) 




504 

23,657 

5,989 

10,799 


6 

19 

8 

9 



10 



Violent Crime 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



.Aggra- 
vated 
assault 



Propeny^ 
en me 
total 



98 

46 

363 

47 

725 

14 

924 
23 
319 
227 
475 
59 



112 
123 
136 

15 

151 

571 

156 

1,182 



1 

3 

1 

330 

44 

333 

30 

273 

21 

33 

13 

817 



62 
170 
282 

45 
556 

58 

96 
105 
463 

802 

200 

73 

185 

807 
817 
447 



1,127 

81 

723 

36 



Property Cnme 



Burglary 



1 

2 

21 

14 
104 

I 

144 
1 
17 
16 
62 
18 



1 
14 
13 

5 
3 

116 
21 

396 



22 



Larceny- 
thef^ 



19 
106 

7 



183 



97 

44 
333 

31 
607 

13 

757 
20 
302 
193 
408 
40 



111 
108 
111 

10 
146 

434 
132 
751 



Motor 
vehicle 
theft 



3 
1 

258 
42 

311 
30 

261 
20 
33 
12 

786 



59 

153 

248 

43 

458 

55 

91 

84 

397 

740 
170 
66 
169 

757 
687 
436 



924 
73 

684 
32 



9 

2 
14 



23 
2 



1 
12 



2 

21 

3 

35 



5 

1 

10 

1 



3 
6 

13 
7 
7 
9 

31 

24 
4 



20 

8 

26 



i footnotes at end of table. 



117 



Table 7. — Number of Offenses Known to the Police, Universities and Colleges, 1988 — Continued 



University/College 



Student 
enroll- 
ment' 



Violent^ 
cnme 
total 



Violent Cnme 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Property- 
crime 
total 



Property Crime 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



IOWA 

Iowa State University 

University of Iowa 

University of Northern Iowa 

KANSAS 

Emporia State University 

Fort Hays State University 

Kansas State University, 

Manhattan 

University of Kansas: 

Lawrence 

Medical Center 

Pittsburg State University 

Wichita State University 

KENTUCKY' 

LOUISIANA 

Louisiana State University, 

Baton Rouge 

McNeese State University 

Northeast Louisiana University 

Southeastern Louisiana University .. 

MAINE 

University of Maine. Orono 

University of Southern Maine 

MARYLAND 

Bowie State College 

Coppin State College 

Frostburg State University 

Morgan State University 

Saint Mary's College , 

Salisbury State College 

Towson State University 

University of Baltimore 

University of Maryland: 

Baltimore City 

Baltimore County 

College Park 

Eastern Shore 

MASSACHUSETTS 

Boston University 

Brandeis University 

Emerson College 

Framingham State College 

Massachusetts Institute of Technology 

North Adams State College 

Northeastern University 

University of Massachusetts, 

Harbor Campus-Boston , 

Wentworth Institute of Technology 

MICHIGAN 

Central Michigan University 

Delta College , 

Eastern Michigan Univerity , 

Ferris State College 

Grand Valley State College 

Hope College , 

Lansing Community College , 

Macomb Community College 

Michigan State University 

Michigan Technological University .. 
Northern Michigan University , 

See footnotes at end of tabic. 



27,073 
30.670 
12,312 



5,343 
5,538 

17,687 

25.822 
2,435 
5.497 

16,248 



28,421 


12 


7,340 


3 


10,227 


3 


7,897 


1 


10,954 


7 


9.424 




2,867 


6 


2,315 


3 


3,725 


9 


3,752 


20 


1,395 


1 


4,708 


8 


15,421 


12 


5,020 


1 


4,563 


14 


9,267 


12 


38,639 


20 


1,331 


6 


27,055 


30 


3,668 




2,385 


7 


5,951 


5 


9,757 


10 


2,857 


5 


34,093 


37 


12,370 


3 


4,020 


13 


17,993 


7 


10,340 




21,349 


9 


11,277 


9 


8,361 


2 


2,545 


1 


20,405 




31,318 


1 


44,088 


46 


6,326 


1 


7,852 


4 



761 
735 

237 



149 
64 

609 

726 

344 

68 

184 



958 
118 
256 
179 



416 
129 



70 

79 

70 

134 

52 

210 

457 

122 

577 

350 

1,388 

53 



60r. 

176 
76 
61 

591 
47 

397 

273 
146 



538 
103 
509 
474 
106 
175 
146 
162 
2.135 
105 
249 



173 
155 



33 
15 

109 

158 
15 
15 
14 



131 

9 

21 



14 
12 

8 
62 
13 

6 
143 

7 

14 
158 

247 



14 

4 

32 

17 

7 

7 

8 

11 

474 

8 

20 



581 

573 
228 



116 

47 

495 

555 

327 

52 

165 



802 
109 

235 
177 



401 
108 



56 

53 

62 

67 

38 

202 

298 

115 

561 

187 

1,102 

50 



482 

161 
67 
55 

495 
22 

350 

236 
112 



516 

98 

468 

450 

97 

168 

137 

142 

1.600 

96 

223 



118 



7. — Number of Offenses Known to the Police, Universities and Colleges, 1988 — Continued 



Univeniity/College 



Student 
enroll- 
ment' 



Violent' 
crime 
total 



Violent Crime 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robber> 



Aggra- 
vated 
assault 



Property' 
en me 
total 



Properly Crime 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



MICHIGAN— Continued 



ind University — 

aw Valley State College 
ir ;rsity of Michigan, Hint 
Vt irn Michigan University 

MINNESOTA 



J) :rsity of Minnesota 

MISSISSIPPI 



t[ ssippi State University 
Jl irsity of Mississippi 



MISSOURI 



Jl ersity of Missouri: 

lumbia 

m Louis 

W ington University 



NEBRASKA 



w ley State College 

J ersity of Nebraska. Lincoln 



NEW JERSEY 



kdale Community College 

ngton County College 

. County College 

iboro State College 

1 College 

Uesex County College 

mouth College 

tclair State College 

.k-rsey Institute of Technology . . 
ers Llniversity: 

.mden 

rwark 

;w Brunswick 

kton Stale College 

iton State College 

/ersity of Medicine and Dentistry: 

imden 

iwark 

scataway 

iam Paterson College 



NEW MEXICO 

em New Mexico University 

versify of New Mexico 

.tern New Mexico University 



NEW YORK 

nell University 

ca College 

) sselaer Polytechnical Institute 

i e University of New York; 

i Ibany 

mherst 

inghamton 

uffalo 

'ownstate Medical Center 

laritime College 

tony Brook 

Ipstate Medical Center 

I .e University of New York Agricultur- 
and Technical College: 

Jfred 

anton 

)elhi 



12.707 
5,377 
6,047 

21,747 



63,994 



11,474 
9,053 



22,727 
12,328 
10,481 



8,816 
23,899 



10,570 
5.880 
5,546 
8,723 

12,629 

10,445 
4,442 

12,922 
7,589 

4,959 
9.611 
33,969 
5,069 
8,179 

2,305 

2,305 

(4) 

9,218 



3,700 

24,124 

1,551 



11,181 
5.798 
6.827 

16.112 

(4) 

12,306 

23.977 

1,404 

881 

14,527 

(4) 



(4) 
(4) 
(4) 



17 



53 



12 



15 



10 



120 
120 
128 

727 



1,298 



347 
324 



767 

99 

207 



116 

887 



74 

26 

34 

134 

142 

38 

123 

370 

250 

111 
289 
614 
165 
233 

12 

503 

86 

200 



167 
766 

22 



689 

272 
280 

446 
475 
270 
290 
345 
54 
940 
223 



174 
105 
106 



117 
I 
9 



158 

4 

89 

128 
96 
54 

74 

2 

II 

281 



108 
108 
121 
701 



287 
270 



644 
96 
189 



98 

784 



69 

24 

25 

106 

105 

35 

109 

250 

207 

96 
236 
553 
143 
201 

11 
405 

82 
168 



110 

683 

20 



528 
268 
189 

314 
370 
215 
196 
343 
42 
634 
221 



143 
100 



5 

4 

24 

3 



48 
30 

4 
39 
25 

1 
10 



80 
2 
13 



1 
37 



3 

2 

4 

9 

1 

20 



1 

25 



footnotes at end of table 



119 



Table 7. — Number of Offenses Known to the Police, Universities and Colleges, 1988 — Continued 



University/College 



Student 
enroll- 
ment' 



Violent' 
crime 
total 



Violent Crime 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Aggra- 
vated 
assault 



Properly^ 
crime 
total 



Property Crime 



Burglary 



Larcenv- 
theft 



Motor 
vehicle 
theft 



NEW YORK— Continued 

Fanningdale 

Morrisville 

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 CAROLINA 

Appalachian State University 

East Carolina University 

North Carolina State University, 

Raleigh 

Queens College 

University of North Carolina: 

Chapel Hill 

Charlotte 

Wilmington 

Western Carolina University 

NORTH DAKOTA 

University of North Dakota 

OHIO 

Bowling Green University 

Cleveland State University 

Cuyahoga Community College 

Kent State University 

Lakeland Community College 

Miami University 

Ohio State University 

University of Akron 

University of Cincinnati 

University of Toledo 

Youngstown State University 

OKLAHOMA 

Central State University 

Northeastern Oklahoma State 

University 

Oklahoma State University 

Tulsa Junior College 

University of Oklahoma: 

Health Science Center 

Norman 

OREGON 

Oregon State University 

PENNSYLVANIA 

California University 

Clarion University 

Edinboro University 

Kutztown University 

Lehigh University 

Mansfield University 



11,747 



7,724 




12,011 
6,702 
1,485 


7 
2 


4,926 
5,333 
7,608 
3,624 
5,610 
250 


1 
1 
3 
4 
1 


8,449 
6,196 
4,301 


1 
1 


3,989 
2,471 


5 



10,963 
15,284 

24,887 
1,332 

22,826 
12,109 
6,254 
6,146 



10,764 



13,806 

8,171 
21,676 
15,292 

2,427 
22,313 



15,199 



5,542 
6,112 
6,014 
6,647 
6,439 
2,670 



17,799 


3 


17,951 


10 


23,324 


6 


20,846 




8,451 


1 


15,995 




53,880 


19 


25,944 


12 


30,213 


21 


21,176 


9 


15,015 


1 



20 



10 



28 



10 



177 
59 

237 
171 
202 

14 
173 
227 
134 

70 
102 
9 
235 
147 
132 
165 

23 



218 
435 

890 
17 

526 
367 
272 
122 



484 



603 
334 
109 
735 
63 
422 

1,720 
640 

1,046 
522 
269 



96 

160 

445 
70 

93 
829 



580 



114 
85 

148 
72 

188 
30 



12 
92 

154 
7 

52 
76 
29 



123 
13 
2 
9 



324 
31 

210 
30 
10 



15 



56 



109 
49 

189 
IIS 
197 

13 
158 
213 
132 

64 

93 
9 
225 
135 
130 
145 

22 



206 
337 

716 
9 

459 
290 
236 
120 



470 



467 
292 

99 
725 

62 
422 
1,352 
597 
828 
479 
242 



73 



19 


138 


124 


314 


11 


59 


5 


81 


140 


650 



516 



10 


100 


1 


83 


3 


144 


-) 


69 


33 


152 


3 


27 



See footnotes at end of table 



120 



; 7. — Number of Offenses Known to the Police, Universities and Colleges, 1988 — Continued 



UniversiIv/CoHege 



Student 
enroll- 
ment' 



Violent- 
cnme 
total 



Violent Crime 



Murder 
and non- 
negligenl 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Propeny* 
crime 
total 



Propeny Crime 



Burglary 



Larceny- 
theft 



Motor 
\ehicle 
theft 



PENNSYLVANIA— Continued 



■sville University 

'a lylvatiia Slate University: 

/ 5ona Campus 

I irend College 

i )ital Campus 

I Keesport 

hi ensburg University 

Ij ;r> Rocly University 

h :rsity of Pittsburgh, Bradrord 

RHODE ISLAND 



Ji ;rsity of Rhode Island 

SOUTH CAROLINA 



;t son University 

il cal University of South Carolina 
Ji erstty of South Carolma, 

mmbia 

V iirop College 



TENNESSEE 



L n Peay Slate University 

]i Tennessee State University . . 
4 lie Tennessee State University 
JI ersity of Tennessee: 

oxville 

trtin 

:mphis 



TEXAS 



1 Community College 

:lo State University 

or University 

^ Tield College 

a Texas State University 

^ ar University 

£nnan Community College 

western State University 

-h Harris County College 

:h Texas State University 

American University 

iland College 

hem Methodist University 

! -h Plains College 

J -hwcstem University 

I :hwest Texas State University . . 
j then F. Austin State University 

i Ross State University 

I eton State University 

I as A & M University: 

oUege Station 

alveston 

I as .\ns & Industries University 

las Christian University 

las College Osteo. Med 

I as Southern University 

I as State Technical Institute: 

lanllo 

1=0 

i as Tech. University: 

lealth Science Center 

ubbock 

.as Woman's University 

I iversity of Houston: 

entral Campus 

'learlake 

>owntown Campus 



7,202 

2,354 
2,-378 
2,888 
\.56i 
6,358 
6,592 
979 



14,371 



13,062 
2,066 



22,965 
5,323 



4,984 

9,969 

11,408 

25,842 

4,923 

(4) 



4,090 
5,806 

11,556 
8,276 
6,851 

11,602 
4,820 
4,468 

11,311 

21,269 
8,887 

12,908 
9,019 
3,594 
1,119 

19,778 

12,138 
2,313 
4,636 

36,617 

524 
5,012 
6,916 

376 
7,246 

978 

4,737 

775 

23,479 

7,966 

28,164 
6,691 
7,255 



5 
2 

1 

29 
4 
4 



14 



10 



67 

31 

100 

26 

18 

126 
153 
21 



460 



605 
429 



930 
115 



142 
216 
265 

551 
133 
194 



24 

91 

369 

64 

180 

318 

3 

75 

51 

513 

226 

74 

334 

14 

28 

661 

398 

38 

104 

1,037 
7 
192 
102 
46 
157 

52 
308 

171 

754 
46 

781 
46 
120 



42 



155 
9 



58 



130 

63 

3 

26 

136 

3 

67 

16 

3 

24 

15 
95 

7 

163 

3 

20 

3 
5 



62 

30 
92 
24 
14 
122 
143 
18 



401 



543 
412 



736 
102 



108 
187 
206 

503 
110 
161 



22 

88 

315 

64 

159 

286 

3 

67 

25 

436 

202 

67 

250 

14 

20 

500 

332 

35 

77 

858 
4 

123 
84 
40 

106 

37 
208 

164 

577 
39 

700 
43 
99 



17 



19 



39 
4 



1 

1 

13 



7 
20 



1 
6 

\i 
6 
7 

26 



31 
3 



1 

43 



2 
2 
3 

27 



14 
4 



61 
16 



footnotes at end of table. 



121 



Table 7. — Number of Offenses Known to the Police, Universities and Colleges, 1988 — Continued 



University/College 



Student 
enroll- 
ment' 



Violent* 
critne 
total 



Violent Cnme 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Property' 
cnme 
total 



Properly Crime 



Burglary 



Larceny- 
theft 



Motor 
vehicle 
theft 



University of Texas: 

Arlington 

Austin 

Dallas 

El Paso 

Galveston 

Houston 

Permian Basin 

San Antonio 

Health Science Center, San Antonio 
Southwest Medical School 

UTAH 

Brigham Young University 

Salt Lake Community College 

University of Utah 

Utah State University 

Utah Valley Community College 

Weber State College 

VIRGINIA 

Christopher Newport College 

College of William & Mary 

George Mason University 

James Madison University 

Longwood College 

Mary Washington College 

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 Western Community College 

WASHINGTON 

Central Washington University 

University of Washington 

Washington State University 

WEST VIRGINIA 

Concord College 

Glenville State College 

Marshall University 

West Liberty State College 

West Virginia State College 

West Virginia Tech 

West Virginia University 

WISCONSIN 

University of Wisconsin: 

Eau Claire 

Green Bay 

Madison 

Milwaukee 

Oshkosh 

Parkside 

Whitewater 



23,247 
46,140 

7.324 

13,753 

(4) 

(4) 

1,893 
12,413 

2,174 

1,581 



30,226 
8,815 
24,721 
13,029 
(4) 
11,366 



6,989 
33,674 
16,193 



2,356 
2,061 

11,425 
2,552 
4,383 
2,833 

17,174 



11,103 
4,978 
44,584 
25,930 
11,800 
5,195 
10,897 



4 089 




7,008 


6 


17,652 


9 


10,381 




2,884 




3,225 




15,463 




7,652 




6,396 




4,705 




21,615 


12 


19,641 




24,637 


17 


6.894 





385 
1,002 

57 
208 
184 
417 

15 
128 

48 
203 



633 

64 

707 



123 

152 



31 
148 
308 
190 
139 

79 
469 
160 

24 
122 
542 
623 

501 
12 



290 

1,175 

574 



39 

7 

186 

68 

28 

8 

359 



236 

50 

1,015 

409 

203 
57 

166 



29 
226 
125 



119 

35 

6 

1 

27 



324 
941 

51 
177 
177 
394 

14 
102 

44 
197 



19 


606 


1 


63 


57 


644 


17 


271 


2 


121 


24 


128 



31 
141 
292 
190 
134 

68 
456 
158 

24 
104 
517 
615 

466 
10 



254 
886 
429 



37 

5 

170 

66 

27 

7 

315 



233 
50 
827 
370 
197 
56 
137 



See footnotes at end of table. 



122 



Ible 7. — Number of Offenses Known to the Police, Universities and Colleges, 1988 — Continued 



University/College 


Student 
enroll- 
ment' 


Violent^ 
crime 
total 


Violent Cnme 


Properly' 
cnme 
total 


Property Crime 


Murder 
and non- 
ncgligent 

man- 
slaughter 


Forcible 
rape 


Robber> 


Aggra- 
vated 
assault 


Burglary 


Larcenv- 
Iheft 


Motor 
vehicle 
Iheft 


Arson* 


WYOMING 

liversity of Wyoming 


9,980 


4 




3 




i 


337 


15 


309 


13 











'The student enrollment figures provided by the United States Department of Education are for 1986, the most recent year available The enrollment figure includes full-lime and pan-time 
llenls. See Appendix I for details. 

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

'Property cnmes are offenses of burglary, larceny-thefi, and motor vehicle theft. Data are not included for the property cnme of arson. 

*Student enrollment figures were not available, 

'Data for 1988 were not available for the States of Rorida and Kentucky. See "Offense Estimation", page 3 for details. 

•Forcible rape figures furnished to the state-level Uniform Crime Reporting (UCR) Program administered by the Illinois Department of Stale Police were not in accordance with national UCR 
lelines. Therefore, the figures were excluded from the forcible rape and violent crime total categones. 

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: 
nographic characteristics of the surrounding community, ratio of male to female students, number of on-campus residents, accessibility of outside visitors, size of enrollment, etc. 



123 



Table 8. — Number of Offenses Known to the Police, Suburban Counties, 1988 

[The dala shown m this table do not reflect county totals but are the number of offenses reported by the shenfTs ofTice, county police department, or state 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 
offenses, including arson 



County by Slate 



Crime 
Index 
total 



Modified' 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbei7 



Aggra- 
vated 
assaull 



Burglary 



Larceny- 
theft 



Motor 

vehicle 

theft 



ALABAMA 

Autauga 

Baldwin 

Blount 

Calhoun 

Colbert 

Elmore 

Houston 

Jefferson 

Lauderdale 

Madison 

Montgomery 

Russell 

Saint Clair 

Shelby 

Tuscaloosa 

Walker 

ARIZONA 

Maricopa 

Pima 

ARKANSAS 

Crawford 

Crittenden 

Jefferson 

Lonoke 

Miller 

Pulaski 

Saline 

Sebastian 

Washington 

CALIFORNIA 

Alameda 

Alameda Highway Patrol . . . 

Alameda State Police 

Butte 

Butte Highway Patrol 

Butte Stale Police 

Contra Costa 

Contra Costa Highway Patrol 
Contra Costa State Police . , 

El Dorado 

El Dorado Highway Patrol . 

Fresno 

Fresno Highway Patrol 

Fresno State Police 

Kern 

Kern Highway Patrol 

Kern Slate Police 

Los Angeles 

Los Angeles Highway Patrol 
Los Angeles Slate Police . . . 

Marin 

Marin Highway Patrol 

Merced 

Merced Highway Patrol 

Merced Slate Police 

Monterey 

Monterey Highway Patrol . . 

Napa 

Napa Highway Patrol 

Orange 

Orange Highway Patrol 

Orange Stale Police 

Placer 



166 
1,060 
462 
454 
104 
931 
454 
6,403 
524 
560 
700 
390 
319 
451 
1,373 
488 



6,404 
11.343 



218 
417 
523 
156 
715 
2.596 
1,018 
240 
769 



,613 

43 

156 

,486 

286 

10 

,901 

870 

29 

,463 

217 

,241 

106 

53 

,030 

206 

26 

,027 

606 

439 

,811 

140 

,605 

186 

9 

,785 

204 

,051 

95 

,161 

73 

49 

.812 



106 
933 

6,585 
529 
574 
701 
390 
320 

1,379 



6,486 
11.427 



219 
419 
529 
159 
721 
2,624 
1,019 
240 
774 



3.627 



157 
3,586 



10 
5.933 



29 
2.479 



8.272 



53 
16.767 



26 
43.575 



447 
1.826 



9 

2.835 



1.056 
11.388 



49 
2,830 



13 



10 



17 



40 



157 



10 



10 



39 



II 

101 



138 



24 



18 

4 

127 

-» 

6 
10 

6 

5 

10 
16 

7 



76 
102 



96 



1 
133 



20 
146 



459 



3,210 



25 



44 

15 

203 



10 

114 

40 

67 

4 

96 

55 

943 

15 

59 

75 

98 

24 

4 

321 

5 



341 
550 



5 
93 
45 

1 

40 

271 

1 

8 
23 



1 

333 

17 



136 



1,059 
3 



1.496 



8,591 

144 

49 

250 

2 

175 

1 



19 



317 
1 

79 

1 

566 

3 
-t 

236 



73 
381 
201 
152 

40 
437 
162 
1,968 
247 
176 
242 
131 
120 
253 
386 
200 



1,623 
2,233 



119 
143 
193 
63 
294 
795 
396 
104 
346 



1,105 



41 
1,424 



5 
2,011 



13 
1,079 



3,009 



17 

4,753 



10,308 

1 

I 16 

338 



578 



1 

948 



388 



2.829 

1 

24 

971 



68 
494 
179 
191 

54 
326 
211 
2,815 
221 
282 
339 
124 
137 
143 
570 
242 



3,814 
7,785 



66 
126 
228 

71 
341 
1,328 
511 
111 
335 



1,917 



89 

1,685 

19 

2 

3,362 

141 

15 

1,190 

36 

3,362 

24 

34 

8,187 

72 

26 

12,928 

30 

200 

1,150 

25 

800 

1 

8 

1,442 

33 

544 

15 

6,477 



4 
47 
33 
33 

4 
44 
19 
489 
39 
28 
26 
20 
27 
29 
77 
32 



496 
576 



20 
22 
37 
16 
23 
128 
103 
13 
56 



401 

43 

8 

15 

267 

1 

6 

712 

1 

22 

181 

545 

79 



957 
129 



7.460 

431 

49 

1! 

113 



184 



3 

170 

10 

79 

1,025 

69 



20 
1,543 



124 



•ble 8. — Number of Offenses Known to the Police, Suburban Counties, 1988 — Continued 



County by State 



Crime 
Index 
total 



Modified* 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larcenv- 
theft 



Motor 

vehicle 

theft 



Arson* 



CALIFORNIA— Continued 



acer Highway Patrol 

\erside 

\erside Highway Patrol 

cramento 

cramento Highway Patrol 

cramento State Police 

n Bernardino 

n Bernardino Highway Patrol 

n Bernardino State Police 

n Diego 

n Diego Highway Patrol 

,n Diego State Police 

in Joaqum 

in Joaquin Highway Patrol ... 

in Joaquin State Police 

in Mateo 

in Mateo Highway Patrol 

inia Barbara 

inta Barbara Highwav Patrol 

inta Barbara State Police 

inta Clara 

inta Clara Highway Patrol 

inta Clara State Police 

inta Cmz 

anta Cruz Highway Patrol 

hasta 

hasta Highway Patrol 

hasta State Police 

olano 

olano Highway Patrol 

olano State Police 

onoma 

onoma Highway Patrol 

onoma State Police 

itanislaus 

•tanislaus Highway Patrol 

Itanislaus State Police 

iutter 

lutter Highway Patrol 

Tulare 

Tulare Highway Patrol 

r-olo 

ifolo Highway Patrol 

I'olo State Police 

It'uba 

Vuba Highway Patrol 



COLORADO 



Adams . , 
Arapahoe 
Boulder . 
Douglas . 
El Paso . 
Jefferson 
Larimer . 
Pueblo .. 
Weld .... 



DELAWARE 

New Castle Police Department 
New Castle State Police 



233 

33,918 

180 

37,594 

601 

513 

22,925 

304 

44 

25,787 

184 

105 

6,764 

568 

67 

3.639 

14 

4,931 

287 

I 

3,177 

206 

38 

3,190 

328 

3,143 

55 

14 

830 

75 

5 

4,752 

615 

68 

4,915 

409 

9 

1,355 

61 

5,277 

396 

527 

61 

I 

2,290 

119 



4,352 
3,250 
1,312 

999 
2,805 
5,872 
1.429 

760 
1,256 



6,943 
5,705 



34,077 

37,727 

517 
23,050 

44 
26,047 

105 
6,837 

67 
3,648 

4,980 

I 
3,196 

38 
3,207 

3,153 

14 
847 

5 
4,823 

70 
5,046 

9 

1,357 

5,517 
540 

1 

2,309 



4,405 

1.349 
1,023 
2,844 
5,901 
1,435 
768 
1,274 



7.007 
5,719 



50 


152 


30 


236 


1 
52 


I 
137 






42 


132 




1 


18 


56 




1 


2 


16 


10 


48 






4 


25 






7 


32 


6 


21 






4 


19 






9 


44 




1 


7 


47 




1 


2 


9 


16 


51 


6 


10 






1 


17 



133 
41 



673 
1,163 



448 



629 



2 
171 



43 



22 



79 



121 



15 
105 



19 



71 
169 



4,311 

20 

2,095 



25 

3,624 

3 

1 

2,170 

27 

7 

305 



2 
214 

6 
412 

1 



489 
II 



197 



450 
3 
2 

158 



1 

346 
1 
3 

763 



200 



768 

1 

64 

I 



559 



259 
102 
67 
51 
154 
72 
82 
68 
89 



328 
197 



9,875 
8,818 



124 

7,775 



12 
8,279 



30 
2,626 



31 
1.147 



1.088 



668 



18 
1.137 

1.017 



6 
334 



3 

1.752 



35 
1,821 



I 
527 



1,339 
196 



702 



1,193 
849 
438 
265 
942 

1,505 
407 
262 
375 



1,860 
631 



48 

14,308 

20 

20,805 

83 

320 

8,472 

16 

30 

10,152 

23 

47 

3,588 

68 

33 

1,751 



3,294 

101 

1 

1,858 



18 

1.761 

55 

1,470 

22 

5 

262 

18 

I 

2.480 

184 

22 

2.137 

28 

7 

570 



2,998 

48 

239 

14 

I 

990 



2.394 

2.111 

705 

610 

1,496 

3,946 

865 

376 

701 



4,049 
4,247 



185 

4.549 

140 

4,447 

518 

34 

2,417 

285 

1 

4,383 

134 

18 



500 
468 



30 
185 



90 

195 

1 

II 

273 

157 

30 

1 

35 

57 



42 
430 

7 

19 
373 



347 

4 

46 



2 
119 



393 

151 

66 

59 

164 

286 

65 

40 

63 



489 
415 



125 



Table 8.— Number of Offenses Known to the Police, Suburban Counties, 1988— 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* 


FLORIDA' 
GEORGIA 


422 

1,402 

1,204 

73 

1,600 

2,421 

14 

9,087 

196 

14,843 

1,342 

223 

340 

43,325 

2,054 

617 

1,429 

49 

9,149 

13,262 

1,532 

976 

241 

264 

935 

81 

902 

233 

8,868 

1,942 

1,087 

567 

1,844 


1.2.TO 

75 

1,609 

2,430 

9,120 

196 

14,909 

227 

43,5.54 

2,072 

618 

9,174 

13,417 

1,534 

241 

87 

8,881 

569 

1,859 


1 
3 
1 


4 
8 
11 


3 
35 
13 


29 
19 
35 

3 
77 
82 


177 
424 
281 
28 
525 
742 


171 
827 
770 
40 
819 

1,446 
9 

5,345 
191 

8,239 

711 

86 

227 

24,992 

1,084 

334 

920 

26 

5,027 

8,433 
907 
577 
118 
125 
502 
20 
349 
123 

4,506 

1,174 
489 
247 

1,144 

192 

502 

45 

2,833 

1,643 

196 

153 

127 

661 

309 

247 

1,490 

920 

331 

424 

830 

28 

63 

731 

188 

764 

799 

190 

1,731 

1,242 

96 


37 

86 

93 

2 

153 

112 

4 

856 




Bibb 






2' 






Cherokee 


4 


10 
19 


12 

20 

1 

210 
















6 


52 


360 
4 

371 
65 
18 
60 

676 
61 
20 
48 


2,258 

1 

4,095 

438 

78 

30 

10,295 

668 

223 

349 

2,144 

3,133 

423 

268 

93 

121 

343 

52 

390 

67 

2,710 

512 

403 

248 

506 

97 

304 

62 

1,364 

740 

80 

58 

89 

513 

282 

199 

936 

341 

270 

198 

791 

27 

67 

420 

116 

584 

584 

91 

965 

804 

53 


3 


Cobb 




Cobb Police Deoartment 


21 

3 
2 


104 

14 

3 

4 

285 

6 
3 


389 

35 

6 

14 

1,670 

33 

3 

1 

1 

325 

154 

26 

17 

1 


1,624 

76 

30 

5 

5,359 

178 

30 

105 

20 

1,355 

1,090 

123 

63 

10 

17 

50 

5 

98 

15 

697 

104 

109 

42 

77 

21 
51 
11 

547 

252 

15 

9 

4 
48 
52 
26 
313 
104 
14 
26 
90 

2 
12 
63 

9 
88 
79 

2 

234 
126 

7 


6 






Dade 




DeKalb 




DeKalb Police Department 


47 
8 
1 
3 


22 




1 
















13 

1 
5 
2 


58 

60 

9 

7 
1 


227 

391 

39 

42 

18 

1 

25 

1 

56 

20 

361 

120 

68 

18 

98 

8 
60 

6 
200 
105 

5 

5 

6 
37 
98 
19 
167 
26 
20 
18 
59 

2 
16 
59 
14 
68 
98 
10 
242 
130 

5 


2 




15 










Lee 












2 


■} 
2 
6 
4 
71 
13 
8 
6 

8 


11 

1 
3 
4 
504 
16 
7 
4 

9 














Peach 








19 
3 

3 

-) 

2 

1 
3 


1 


Rockdale 




Walker 




Walton 




IDAHO 

Ada 


1 


ILLINOIS" 






14 

1 

60 

ft 

1 
1 








Cook 


4 
3 
1 


3 




3 


Grundy 














Kane 




19 

7 
2 

24 
3 
2 
g 

18 


2 




3 


1 


Kendall 






2 

1 


3 












2 

5 
















3 

7 






5 


1 








3 
3 


17 
17 


1 




2 






Will 


6 
4 

1 


51 
29 


5 










See footnote at end of table. 







126 



■ble 8. — Number of Offenses Known to the Police. Suburban Counties, 1988 — Continued 



County by Slate 



Crime 
Index 
toial 



Modified* 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robberv 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 

vehicle 

theft 



INDIANA 



ren 

len State Police 

■irk 

'irk State Police 

Jiart 

Aart State Police 

milton 

milton State Police ... 

incock 

uncock State Police 

irrison 

irrison State Police 

Hvard 

nward State Police 

»ke 

^e State Police 

Iprion 

brion State Police 

liter 

-irter State Police 

jint Joseph 

dnt Joseph State Police 

ppecanoe 

ppecanoe State Police . 

inderburgh 

inderburgh State Police 



IOWA 



ack Hawk 

'emer 

alias 

ubuque ... 
ihnson 



oik 

jttawatlainie 

;ott 

'arren 

'oodbury ... 



KANSAS 



utier 

•ouglas 

ifferson 

eaven worth 

liami 

hawnee 

v'yandotte . . 



2,587 


2,590 


165 


167 


529 


530 


205 


209 


2,264 


2,266 


104 


104 


741 


743 


49 


49 


498 


501 


47 


47 


302 


302 


133 


133 


546 


550 


26 


26 


1,775 


1,784 


379 


382 


16,180 


16,224 


528 


528 


826 


829 


123 


125 


2,165 


2,182 


153 


153 


801 


804 


132 


132 


496 


496 


43 


43 



238 
156 
187 
451 
549 
592 
1,783 
350 
360 
462 
287 



396 

242 
370 
346 
268 
894 
39 



KENTUCKV 



LOUISIANA 

dossier 

"addo 

Talcasieu 

;ast Baton Rouge 

efferson 

.afayette 

-aFourche 

-ivingston 

Juachita 

Rapides 

iaint Charles 

iaint John the Baptist .. 

Jaint Martin 

iee tootnole at end of table. 



878 
2,005 
4,695 
8,680 
28,541 
2,170 

647 
1,011 
1,894 
1,598 
2.194 

677 

531 



239 
156 
187 
453 
551 
592 
1,791 
351 
360 
464 



2,018 

4,721 

8,700 

28,631 

2,189 

654 

1,015 

1.896 

1.601 

2.210 

578 

533 



10 



I 

I 

I 

14 

3 

121 

9 

3 



3 
21 
58 
22 
156 
20 
16 

6 
24 
12 
12 

5 
12 



10 



15 

4 

288 

6 

7 



3 

13 
74 
108 
1.020 
39 
11 

5 
24 
17 
48 
12 

8 



27 

19 

79 

32 

210 

14 

45 

9 

1 

8 

3 

10 

4 

4 

118 

101 

310 

120 

14 

37 

18 

30 

43 

27 

II 

1 



22 

32 

1 

51 

32 

142 

224 

42 

37 

II 

18 



42 
156 
486 
450 
1,488 
185 

64 
182 
144 
136 
593 

47 

65 



916 


1,464 


40 


84 


122 


283 


70 


69 


560 


1,345 


17 


61 


341 


300 


3 


28 


228 


243 


7 


27 


122 


164 


44 


39 


154 


357 


3 


14 


269 


982 


18 


115 


,951 


10,113 


38 


233 


142 


608 


11 


44 


455 


1,548 


29 


75 


197 


511 


17 


68 


54 


398 


1 


35 



86 

46 

41 

85 

178 

165 

365 

162 

75 

180 

126 



155 
89 
146 
179 
113 
296 
13 



117 
73 
135 
295 
303 
255 
1.074 
110 
236 
243 
139 



202 
124 
196 
124 
115 
524 
17 



261 


548 


682 


1,010 


1,416 


2,532 


2,217 


5,395 


6,885 


16,457 


697 


1,087 


191 


330 


536 


244 


592 


1,036 


490 


868 


485 


1,000 


167 


395 


129 


305 



143 
21 
26 
26 

118 
12 
48 



4 

11 

39 

20 

4 

377 

138 

1,387 

121 

51 

27 

112 

19 

42 

18 

26 

3 



13 
3 

10 
19 
30 
26 
104 
31 



19 

118 

124 

477 

2,522 

138 

32 

29 

69 

71 

54 

49 

II 



127 



Table 8. — Number of Offenses Known to the Police, Suburban Counties, 1988 — 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- 
ttieft 



Motor 

vehicle 

theft 



LOUISIANA— Continued 

Saint Tammany 

Terrebonne 

West Baton Rouge 

MAINE 

Androscoggin 

Androscoggin State Police 

Cumberland 

Cumberland State Police 

MARYLAND 

Allegany 

Allegany County Investigator 

Allegany State Police 

Anne Arundel Police Department 

Anne Arundel State Police 

Baltimore Police Department 

Baltimore State Police 

Calvert 

Calvert State Police 

Carroll 

Carroll State Police 

Cecil 

Cecil State Police 

Charles 

Charles State Police 

Frederick 

Frederick State Police 

Harford 

Harford Stale Police 

Howard 

Howard State Police 

Montgomery 

Montgomery Police Department .. 

Montgomery State Police 

Prince Georges 

Prince Georges Police Department 

Prince Georges State Police 

Queen Anne's 

Queen Anne's State Police 

Washington 

Washington State Police 

MASSACHLISETTS 

Berkshire State Police 

Hampden Stale Police 

Hampshire State Police 

Worcester State Police 

MICHIGAN 

Bay 

Bay State Police 

Berrien 

Berrien State Police 

Calhoun 

Calhoun State Police 

Clinton 

Clinton State Police 

Eaton 

Eaton State Police 

Genesee 

Genesee State Police 

Ingham 

Ingham State Police 

Jackson 



3,677 

2,228 

484 



310 
71 

650 
63 



37 

2 

564 

14,775 

1,494 

42,596 

178 

273 

794 

34 

1,856 

449 

1,119 

3,657 

436 

530 

1,130 

3,191 

795 

7,716 

449 

12 

29,882 

32 

158 

41,585 

250 

267 

529 

742 

561 



195 
62 
53 
30 



941 
918 

1,114 

1,066 

289 

336 

347 

42 

2,437 
381 
396 
822 

1,520 
337 

1,027 



3,686 

2,255 
485 



311 
71 

650 
63 



37 

2 

570 

14,894 

1,494 

43,057 

178 

273 

812 

34 

1,882 

449 

1,160 

3,657 

472 

530 

1,163 

3,191 

836 

7,716 

523 

12 

30,388 

32 

158 

41,860 

250 

267 

553 

742 

591 



196 
62 

53 
30 



943 
925 

1,126 

1,091 

289 

344 

352 

42 

2,438 
392 
399 
845 

1,541 
342 

1,057 



16 



94 



64 

13 

190 

2 

2 

5 



174 



383 

2 

1 
5 
6 
4 



7 

289 

26 

1,656 

4 

1 

6 

1 

11 

3 

18 

55 

3 

12 

17 

37 

24 

102 

II 



782 



2,544 

7 
1 
7 
5 
7 



277 
341 
114 



64 

599 

159 

4.645 

42 

18 

117 

4 

164 

46 

161 

368 

38 

62 

141 

259 

121 

307 

50 

12 

912 

12 

158 

2,993 

72 

30 

65 

34 

46 



1,167 

582 

71 



149 
26 

247 
18 



6 
1 

147 

3,324 

149 

8,348 

24 

56 

210 

8 

470 

140 

398 

799 

86 

97 

304 

862 

175 

1,642 

83 



5,363 
1 



8,643 
7 
65 
140 
178 
174 



1,983 
1,191 

255 



128 
37 

325 
35 



30 

1 

309 

9,062 

921 

23,184 

77 

177 

416 

20 

1,098 

218 

460 

2,090 

245 

319 

616 

1,852 

373 

4,877 

244 



19,472 
13 



18,108 
121 
158 
284 
490 
285 



168 


695 


166 


619 


355 


561 


234 


658 


125 


117 


133 


138 


100 


201 


10 


17 


472 


1,653 


37 


304 


88 


238 


171 


444 


358 


966 


26 


267 


217 


632 



27 
1,426 

223 
4,549 
29 
19 
39 
1 
96 
40 
71 

323 
62 
29 
47 

162 
94 

743 
56 



3,163 
6 



1,820 
41 
12 
27 
29 
41 



47 
39 
75 
51 
16 
24 
19 
2 
143 
11 
17 
67 
81 
10 
49 



128 



ible 8. — Number of Offenses Known to the Police, Suburban Counties, 1988 — 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— Continued 

ik^on State Police 

iljniazoo 

ilaniazoo State Police 

•nt 

■nt State Police 

ir<-'er 

ipccr State Police 

\ ingston 

vingston State Police 

atomb 

acomb State Police 

idland 

idland State Police 

on roe 

on roe State Police 

uskegon 

uskegon State Police 

aktand 

akland State Police 

ttawa 

ttawa State Police 

iginaw 

iginaw State Police 

lint Clair 

lint Clair State Police 

'ashtenaw 

'ashtenaw State Police 

^ayne 

/ayne State Police 

MINNESOTA 

.noka 

■enton 

larver 

'hisago 

"lay 

)akota 

lennepin 

santi 

)lmsted 

(amsey 

iaint Louis 

icott 

iherbume 

itearns 

A'ashington 

bright 

MISSISSIPPI 

Harrison 

Hinds 

MISSOURI 

Boone 

Buchanan 

Christian 

Clay 

Franklin 

Greene 

Jasper 

Lafayette 

Platte 

Saint Charles 

Saint Louis Police Department 



725 

2.522 
68 

3,421 
842 
795 
311 
958 
756 

2,123 

600 

759 

41 

2,773 
833 

1,189 
405 

7,224 
636 

1,745 
279 

1,362 
687 

1,521 
543 

3.862 
842 
699 
343 



500 

225 
314 

1,072 
132 
210 
164 
429 
453 
155 
786 
375 
358 
760 
806 

1,235 



2,571 
567 



559 
176 

227 

241 

1,175 

1,453 

440 

185 

432 

1,801 

14,741 



729 

2.543 
76 

3.436 
849 
805 
324 
973 
766 

2.133 

611 

768 

41 

2.815 
850 

1.196 
406 

7,292 
655 

1.748 
283 

1,362 
691 

1.541 
550 

3,901 
851 
709 
396 



513 
230 
317 

1,080 
132 
212 
165 
430 
455 
155 
805 
379 
359 
760 
819 

1,245 



2.593 
568 



565 
176 

231 

250 

1.175 

1.469 

440 

185 

433 

1.819 

14.982 



31 


10 


33 


28 


4 


1 


40 


15 


5 


3 


4 


1 


39 


3 


9 


4 


16 


8 


16 


16 


II 


9 


19 


2 


6 




35 


23 


17 


8 


20 


4 


n 




45 


55 


19 


9 


37 


4 


4 


-) 


6 


15 


32 


7 


38 


13 


9 


5 


38 


119 


80 


24 



206 

55 

5 

141 
18 
48 
34 
33 
65 
63 
34 
25 
1 

151 
64 
42 
40 

347 
66 
60 
14 

160 
61 
62 
38 

274 
69 
92 
49 



II 
216 



45 

104 

140 

8 

I 

28 

116 

879 



117 
554 

20 
666 
206 
232 

89 
232 
206 
430 
132 
198 

13 
558 
216 
282 
109 
1,625 
163 
437 

73 
257 
127 
369 
173 
872 
127 

15 

39 



205 

53 

80 

202 

44 

61 

44 

155 

154 

30 

378 

105 

110 

148 

196 



1.455 
280 



144 

60 

81 

87 

481 

311 

161 

104 

157 

486 

3.286 



329 

1.740 
34 

2.326 
569 
474 
124 
653 
413 

1,372 

349 

486 

20 

1,821 
471 
779 

::'4 

4,698 
350 

1,129 
167 
819 
427 
961 
287 

2,220 
444 
496 
161 



232 
144 
201 
753 

77 
111 

81 
223 
240 
108 
322 
224 
200 
537 
509 
834 



703 
198 



300 

95 

126 

90 

484 

925 

251 

71 

216 

1 ,066 

9,351 



27 

111 
4 

232 
41 
35 
21 
27 
46 

224 

65 

29 

1 

183 
57 
62 
19 

447 
29 
78 
19 

101 
30 
75 
31 

333 
98 
92 
61 



48 
12 
17 
84 
4 
27 
16 
39 
38 
14 
39 
36 
29 
57 
74 
100 



190 
46 



24 

1 

14 

13 

86 

67 

20 

9 

22 

114 

9.W 



129 



Table 8. — Number of Offenses Known to the Police, Suburban Counties, 1988— Continued 



County by Stale 



Crime 
Index 
total 



Modified* 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robberv 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 

vehicle 

theft 



NEBRASKA 

Dakota 

Lancaster 

Lancaster State Patrol ... 

Sarpy 

Sarpy State Patrol 

Washington 

Washmgton 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 Slate Police 

Sussex State Police 

Union Stale Police 

Warren Slate Police 

NEW MEXICO 

Dona Ana 

NEW YORK 

Albany 

Albany State Police 

Broome 

Broome State Police 

Chemung 

Chemung Stale Police ... 

Dutchess 

Dutchess State Police 

Erie 

Erie Stale Police 

Greene 

Greene Slate Police 

Herkimer 

Herkimer State Police ... 

Livingston 

Livingston State Police .. 

Madison 

Madison State Police 

Monroe 

Monroe State Police 

Montgomery 

Montgomery State Police 

Nassau 

Nassau State Police 

Niagara 

Niagara Slate Police 



121 

508 

29 

770 

1 

82 

1 



2,030 



1,446 
382 
924 

61 

600 

1,053 

606 

75 

21 

31 
280 
374 
143 
340 

58 
213 

40 
409 

45 
531 

49 
344 



1,684 



119 

787 

820 

922 

503 

529 

1,279 

1.281 

2,079 

801 

20 

666 

26 

453 

741 

244 

59 

423 

5,151 

1,179 

256 

150 

32,400 

69 

2,028 

620 



122 

524 

29 

772 

I 

84 

1 



2,034 



1,464 
382 
927 

62 

601 

1,058 

627 

76 

21 

31 
281 
375 
143 
342 

58 
213 

40 
409 

45 
532 

50 
346 



1.692 



120 
791 
825 
929 
507 
531 
1,299 
1,284 

807 

20 

675 

26 

467 

748 

246 

59 

434 

5.187 

1,179 

151 

32,711 

70 

2,028 

630 



21 



50 



26 



1,032 

5 

33 

5 



256 



41 
25 
51 

7 

33 

102 

144 

12 

5 

5 

12 
10 
20 
19 

9 
22 

2 
46 
25 
29 

5 
18 



90 



15 

21 

14 

24 

51 

53 

146 

202 

212 

60 

5 

114 

1 

15 

50 

23 

2 

29 

41 

II 

2 

7 

882 

13 

125 

31 



50 

120 

2 

171 



24 



573 



849 



39 
236 
218 
248 
126 

85 
336 
342 
299 
211 
5 
231 



209 

175 

46 

23 

132 

758 

81 

67 

44 

5,866 

7 

434 

118 



54 

337 

12 

541 

1 

54 

1 



982 



163 


1,141 


36 


224 


245 


489 


7 


35 


243 


272 


384 


459 


62 


231 


7 


45 


5 


6 


5 


14 


92 


144 


41 


289 


10 


80 


82 


205 


9 


27 


33 


142 


9 


25 


146 


169 


8 


9 


158 


302 


1 


32 


144 


135 



61 

495 

525 

627 

298 

384 

716 

644 

1,429 

474 

9 

275 

25 

221 

500 

163 

32 

254 

4,085 

1.033 

174 

93 

17,774 

23 

1,301 

433 



12 

29 

3 

40 



139 



59 
86 
97 

6 
39 
71 
41 

3 

3 

5 
28 
24 
22 
28 

9 
11 

3 
31 

3 
39 

6 
37 



108 



3 
20 
54 
20 
23 

3 
61 
62 
107 
49 



35 



3 

5 

11 

2 

4 

205 

49 

11 

6 

6,739 

17 

114 

32 



130 



fs e 8. — Number of Offenses Known to the Police, Suburban Counties, 1988 — 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— Continued 

01 da 

da State Police 

no 

irio Slate Police 

ige 

ige State Police 

-go 

ego Slate Police 

am 

am State Police 

iselaer 

iselaer State Police 

toga 

toga State Police 

:nectady 

^nectady State Police 

la 

pt State Police 

ren 

ren State Police 

ihington 

hington State Police 

me 

me State Police 

itchester 

«tchester State Police 

NORTH CAROLINA 

■nance 

Kander 

Mcombe 

Ike 

barms 

awba 

nberland 

vidson 

vie 

rham 

■sylhe 

tnklin 

ston 

ilford 

icoln 

icklenburg 

w Hanover 

.slow 

ange 

ndolph 

wan 

okes 

ake 

idkin 

NORTH DAKOTA 

irleigh 

iss 

rand Forks 

orton 

OHIO 

lien 

uglaue 

lark 

lermont 

elaware 

tanklin 



536 

1,414 

1.1-17 

491 

14 

1,677 

565 

675 

575 

346 

416 

631 

938 

1,012 

4 

88 

308 

156 

1.387 

291 

419 

315 

896 

639 

796 

647 



1,109 

416 
2,291 
1,074 
1,050 
1,424 
9,824 
1,585 

452 
1,051 
1,704 

417 
2,507 
2.577 
1,040 
4,578 
2,382 
2,826 
1,273 
1,510 
1,627 

320 
2,850 

243 



120 
149 
134 
151 



2,596 
308 

2,296 

1,199 
683 

5,297 



5.36 

1,433 

1,159 

493 

14 

1,715 

615 

678 

587 

350 

424 

638 

1,015 

4 

90 

158 

291 
419 
318 

650 
796 
653 



1,118 

418 
2,302 
1,084 
1,058 
1.441 
9,887 
1.593 

459 
1,056 
1,798 

423 
2,538 
2,589 
1,046 
4,591 
2,388 
2,846 
1,274 
1,510 
1,628 

322 
2,896 

243 



120 
149 
134 
151 



2,609 
308 

2,322 

1,212 
685 

5,333 



21 

4 

7 

7 

172 

18 

5 

9 

34 

3 

39 

4 

3 

54 

15 

35 

II 

10 

14 

2 

34 



40 
1 

20 

5 

9 

191 



74 

19 

52 

66 

3 

369 

315 

53 

20 

98 

128 

28 

124 

77 

44 

246 

118 

265 

13 

75 

102 

18 

100 

7 



387 
20 

279 

77 

7 

514 



184 
376 
332 

75 
3 
473 
132 
241 
191 

92 
131 
262 
303 
266 
2 

31 

71 

57 
324 

76 
139 
105 
280 
212 

22 
172 



318 
184 
884 
450 
508 
426 

3,251 
691 
170 
314 
588 
227 

1,102 
899 
411 

1,529 
696 
934 
559 
724 
786 
109 

1,165 
101 



376 
105 
239 
385 
219 
1,099 



322 
934 
708 
402 



938 
316 

389 
321 
187 
191 
282 
526 
670 
2 

46 
149 

85 
988 
199 
217 
158 
548 
361 
700 
365 



624 

194 

1,151 

435 

467 

549 

5,244 

684 

217 

572 

858 

131 

1,086 

1,469 

484 

2,538 

1.389 

1.467 

630 

622 

630 

162 

1.328 

109 



1,673 
164 

1,616 
644 
380 

3,075 



18 

16 

33 

9 



132 
51 
20 
35 
40 
II 
35 
41 
29 



6 
29 

6 
58 

8 
16 

5 
29 
15 
48 
41 



59 

16 

173 

113 

60 

67 

741 

127 

31 

52 

79 

18 

146 

128 

93 

185 

144 

108 

47 

75 

83 

26 

180 

26 



5 
6 
9 
II 



III 
13 

133 
42 
59 

355 



131 



Table 8.— Number of Offenses Known to the Police, Suburban Counties, 1988— Continued 



County by State 



Crime 
Index 
total 



ModiTied* 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 

vehicle 

theft 



OHIO— Continued 

Fulton 

Geauga 

Greene 

Hamilton 

Jefferson 

Lake 

Lorain 

Lucas 

Miami 

Montgomery 

Richland 

Stark 

Trumbull 

Washington 

Wood 

OKLAHOMA 

Canadian 

Cleveland 

Comanche 

Creek 

Garfield 

Logan 

McCIain 

Oklahoma 

Osage 

Pottawatomie 

Rogers 

Sequoyah 

Tulsa 

Wagoner 

OREGON 

Clackamas 

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 

Blair State Police 

Bucks State Police 

Cambria State Police 

Carbon State Police 

Centre State Police 

Chester State Police 

Columbia State Police 

Cumberland State Police . 

Dauphin State Police 

Delaware State Police 

Erie State Police 

Fayette State Police 



400 

485 

528 

8,103 

474 

671 

1,263 

1,621 

900 

4,689 

1.260 

2.708 

300 

624 

366 



192 
340 
336 
759 
154 
471 
156 
346 
401 
601 
589 
292 
2,232 
570 



7,472 
287 

1,499 
223 

1,535 
884 

3,646 
429 

5,097 

180 

375 

28 

4,653 

145 

710 

32 



632 

239 

572 

398 

456 

208 

408 

784 

1,739 

295 

457 

679 

1,005 

1,336 

1,838 



405 



32b 



8,165 

474 

671 

1,281 

1,627 

911 

1,261 

2,723 

303 

632 

387 



196 
359 
339 
789 
156 
485 
158 
346 
403 
607 
592 
293 
2,249 
573 



7,480 
316 

1,509 
232 

1,540 
903 

3.659 
444 

5,128 

181 

378 

29 

4,668 

155 

717 

32 



639 

240 

581 

408 

458 

221 

408 

801 

1,778 

296 

476 

709 

1,017 

1,350 

1,981 



I 
I 

4 

121 

4 

1 

14 

II 

6 

226 

16 

95 



28 


140 


8 


5 


8 


5 


13 


3 


15 


10 


26 


16 


20 


35 


18 


3 


37 


101 


6 


1 


4 


5 


3 




25 


69 


7 


4 


6 

I 


4 

I 



12 


59 


7 


3 


6 


4 


7 




5 


19 


3 


2 


4 


2 


16 


7 


20 


31 


3 




6 


9 


14 


5 


8 


10 


16 


8 


35 


36 



57 
50 
102 
166 
29 



313 
50 

117 
74 
60 
98 
8 
12 
10 



7 
31 
29 
45 

6 
27 

9 
30 
31 
68 
53 

4 

334 

41 



77 

10 

181 

39 

78 

79 

187 

77 

283 

5 

6 

3 

38 

21 

17 

4 



69 

19 

43 

1 

65 

7 

23 

28 

116 

2 
33 
47 
28 
33 
99 



104 
127 
126 

1.152 
183 
III 
430 
423 
308 

1,172 
302 
929 
117 
234 
135 



92 
176 
134 
373 

50 
215 

71 
172 
174 
215 
279 
194 
659 
253 



2,632 

27 

413 

45 

545 

347 

1.097 

73 

1,596 

5 

148 

5 

1,580 

23 

291 

9 



212 
89 
220 
117 
112 
89 
209 
310 
658 
93 
131 
192 
218 
453 
704 



218 
221 
261 

6.203 
196 
517 
441 
998 
394 

2,768 
807 

1,351 
120 
354 
200 



76 
100 
139 
256 

84 
210 

51 
112 
147 
250 
182 

74 
888 
227 



4.148 

203 

806 

94 

825 

296 

2,065 

214 

2,364 

147 

178 

13 

2,541 

63 

341 

14 



208 
103 
250 
228 
214 
82 
156 
376 
739 
185 
238 
356 
573 
709 
725 



132 



ff e 8. — Number of Offenses Known to the Police, Suburban Counties, 1988 — 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* 



ENNSYLVANIA— Continued 



awanna State Police 

taster State Police 

non State Police 

gh State Police 

me State Police 

:er State Police 

roe State Police 

tgomery State Police . 
hampton State Police 

erset State Police 

hinglon 

hington State Police .. 
tmoreland Detective .. 
tmoreland Park Police 
tmoreland State Police 

iming State Police 

< State Police 



RHODE ISLAND 



t State Police 

.idence State Police . 
1 .hington State Police 



SOUTH CAROLINA 



en 

Hereon 

Ikeley 

krleston Police Department 

IKhester 

•fence 

lenville 

.ington 

Ikens 

Ihland 

irtanburg 

rk 



SOUTH DAKOTA 



nnehaha 
mington 



TENNESSEE 



rter 

ckson 

ainger . . . 
Terson . . . 

lox 

adison . . . 
ibertson . . 
itherford . 

vier 

.elby 

illivan 

imner 

nicoi 

nion 

ashington 
illiamson 



TEXAS 



ell ... 
nar . . 
owie . . 
razona 



202 

1,148 

349 

823 

736 

503 

1.221 

458 

352 

491 

I 

726 

44 

4 

2,579 

328 

814 



69 
117 

275 



3,371 
3,799 
3,454 
6,770 
1,621 
2,952 
10.718 
6,311 
1,010 
8.306 
8,515 
3,604 



333 
676 



436 
233 
381 
204 
5.179 
847 
426 
991 
357 
5,304 
1,903 
623 
109 
154 
886 
571 



935 
9,905 

981 
1,320 



207 

1,161 

353 

828 

771 

508 

1,240 

468 

358 

498 

1 

748 

44 

4 

2,667 

328 

833 



69 
118 

277 



3,412 
3,874 
3,475 
6,837 
1,626 
2,980 
10,843 
6,340 
1,025 
8,340 
8,571 
3,628 



335 
683 



436 
233 

387 
213 

871 
431 

1,004 
357 

5.343 

625 

155 
889 

574 



950 

10,044 

990 

1,324 



15 



40 

24 
34 
51 
12 
28 
74 
47 
11 
126 
79 
22 



24 

113 

12 

2 



60 
63 
47 

137 
28 
64 

235 

93 

6 

403 

171 
56 



11 
195 

8 
21 
61 
13 
39 
66 

5 
14 

1 
14 

4 

I 
97 



344 
356 
197 
831 
86 
416 
868 
598 
104 
1,291 
773 
295 



159 

51 

15 

60 

7 

152 

116 

19 

14 

6 

56 

99 



59 

265 

45 

79 



HI 
338 
104 
272 
259 
190 
583 
114 
119 
228 



277 
I 



887 
124 
307 



19 

14 

100 



1,220 
1,406 
1,014 
1,851 

651 
1,030 
3,241 
1,449 

298 
2,220 
2,122 
1,151 



109 
141 



256 
100 
160 
73 

1,856 
305 
172 
382 
165 

1,656 
784 
281 
27 
70 
321 
136 



325 

3,146 

386 

521 



60 

467 
187 
443 
350 
244 
499 
232 
201 
200 



321 

36 

3 

1,226 

161 

418 



21 

57 

127 



1.456 
1,677 
1,968 
3,478 

762 
1,249 
5.641 
3.767 

532 
3.265 
4.884 
1.894 



188 
454 



144 

89 

158 

104 

2.688 

434 

201 

463 

160 

2.616 

823 

282 

56 

67 

435 

293 



466 

5.119 

465 

611 



II 
116 

47 
78 
52 
43 
67 
39 
24 
37 



85 



316 
31 
66 



16 
18 
19 



242 
263 
186 
410 

80 
155 
643 
350 

56 
987 
471 
180 



19 

17 



26 

21 

30 

26 

374 

44 

19 

53 

25 

721 

136 

30 

10 

8 

67 

33 



47 

1. 155 

58 

88 



133 



Table 8.— Number of Offenses Known to the Police, Suburban Counties, 1988 — 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 



TEXAS— Continued 

Brazos 

Cameron 

Collin 

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 

Tarrant 

Taylor 

Tom Green 

Travis 

Victoria 

Waller 

Webb 

Wichita 

Williamson 

UTAH 

Davis 

Salt Lake 

Utah 

Weber 

VIRGINIA 

Albemarle Police Department 

Albemarle Stale Police 

Amherst 

Amherst State Police 

Botetourt 

Botetourt Slate Police 

Campbell 

Campbell State Police 

Charles City 

Charles City State Police 

Chesterfield Police Department 

Chesterfield State Police 

Dinwiddie 

Dinwiddie State Police 



492 


494 


1,675 


1,696 


1,228 


1,242 


821 


824 


194 


196 


837 


869 


1,134 


1,138 


1,634 


1,653 


867 


870 


2,193 


2,200 


2,631 


2,699 


910 


912 


1,216 


1,225 


734 


741 


556 


556 


408 


412 


43,631 


44,126 


829 


848 


627 


627 


3,597 


3.614 


563 


568 


1,099 


1,099 


1,104 


1.107 


670 


670 


1,127 


1,139 


1,027 


1,046 


854 


854 


6,807 


6,890 


373 


374 


980 


994 


1,335 


1,337 


218 


225 


386 


394 


231 


232 


556 


559 


2,681 


2,733 


1,748 


1,765 


249 


250 


438 


438 


5,107 


5.130 


491 


493 


246 


249 


247 


249 


411 


416 


1.629 


1,639 



241 
15,898 



656 



2,016 

12 

569 

29 

429 

17 

871 

21 

49 

5 

7,622 

41 

292 

I I 



15,967 
287 



2,016 

14 

579 

29 

432 

19 

875 

21 

50 

5 

7,682 

41 

292 

II 



15 



34 

12 

9 

6 

9 

6 
236 
5 
4 
36 
6 
6 
9 



2 


13 


1 


4 




2 






1 


10 


I 


1 


t 


59 



4 

27 

7 

1 

2 

7 

11 

11 

13 

33 

37 

7 

2 

12 
4 
6 

1,275 

5 



I 
111 



10 

112 
65 
13 
10 

152 

137 
16 
56 

144 
63 
49 
25 
46 
3 
24 
1,542 
58 
39 

237 
31 
23 
42 
61 
59 
27 
56 

432 
21 
38 
46 
15 
8 
17 
39 

119 
92 
15 
59 

216 
20 
14 
27 
30 
59 



12 

648 

15 



237 
939 
541 
321 
72 
256 
425 
453 
428 
721 
985 
370 
560 
281 
284 
140 
15,543 
364 
328 

1,841 
184 
519 
498 
251 
489 
496 
326 

2,370 
128 
434 
641 
69 
135 
83 
245 
957 
652 
118 
193 

1,978 
184 
135 
92 
196 
497 



59 

2,518 

48 

140 



369 
I 

110 
2 

102 



84 



148 

2 

14 

3 

1,545 

2 

97 

I 



209 
471 
498 
451 
89 
358 
493 

1,041 
318 

1,102 

1,286 
385 
567 
353 
240 
202 
18,346 
336 
237 

1,215 
300 
447 
462 
280 
476 
431 
418 

3,394 
171 
418 
543 
120 
213 
102 
248 

1,379 
851 
101 
177 

2,549 
244 
72 
100 
156 
952 



141 

12,117 

199 

473 



1,401 

6 

346 

21 

292 

16 

606 

13 

29 

2 

5.463 

27 

166 

6 



22 

103 

72 

27 

21 

60 

60 

87 

49 

155 

242 

88 

55 

31 

23 

28 

6,621 

58 

19 

230 

37 

99 

82 

74 

55 

49 

36 

504 

35 

72 

93 

10 

20 

25 

22 

174 

129 

12 

6 

255 

31 

17 

22 

21 

92 



10 
468 



132 

4 
23 

5 
24 

1 
49 

5 



376 
9 
9 
2 



134 



able 8.— Number of Offenses Known to the Police, Suburban Counties, 1988— Continued 



County by Slate 



VIRGINIA— Continued 



tairfax Police Department 

'airfax State Police 

luvanna 

luvanna State Police 

iloucester 

iloucester State Police 

loochiand 

ioochland State Police 

ireene 

ireene State Police 

lanover 

ianover State Police 

lenrico Police Department 

Blenrico State Police 
ames City Police Department .... 

ames City State Police 

X)udoun 

xjudoun State Police 

Wew Kent 

Wew Kent State Police 

1 'iltsylvania 

'ittsylvania State Police 

'owhatan 

'owhatan State Police 

'rince George 

'nnce George State Police 

^rince William Police Department 

Prince William State Police 

Roanoke 

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 .. 

Cabell 

Cabell State Police ... 

Hancock 

Kanawha 

Kanawha State Police 

Marshall 

Marshall State Police 

Mineral 

Mineral State Police . 

Ohio 

Ohio State Police 

Putnam 



Crime 
Index 
total 



%5 

6,669 

433 

30.054 
4,227 

17,805 
7,332 
7,382 
3,285 
1.693 
4,491 



221 

3 

598 

209 

178 

730 

692 

115 

39 

38 

165 

180 

43 

345 



Modified* 
Crime 
Index 
total 



26,475 


26,768 


62 


62 


117 


117 


2 


t 


622 


629 


11 


1 1 


229 


230 


13 


13 


132 


133 


2 


2 


1,017 


1,017 


125 


125 


9,136 


9,195 


38 


38 


1,077 


1,077 


8 


8 


1,479 


1,486 


25 


25 


200 


202 


15 


15 


799 


805 


48 


49 


128 


130 


15 


15 


522 


523 


4 


4 


7,535 


7,603 


27 


27 


1,894 


1,900 


32 


32 


268 


271 


12 


15 


970 


1,003 


36 


36 


579 


583 


11 


II 


1,350 


1,352 


9 


10 



978 

6,696 

435 

30,364 
4,259 

17.900 
7,398 
7,412 
3,321 
1,711 
4,508 



234 

3 

600 

210 

178 

734 

701 

118 

40 

39 

168 

181 

43 

345 



Murder 
and non- 
negligent 

man- 
slaughter 



23 


77 




1 






2 


7 


1 


■> 




3 







Forcible 
rape 



3 


10 


1 








1 


7 


3 


14 


5 


7 



18 

53 

3 

363 
40 

248 
60 
33 
37 
32 
42 



Robbery 



548 



177 

I 

14 



122 

3 

20 

1 



4 

71 

6 

465 
20 

427 
59 
48 
21 
14 
35 



Aggra- 
vated 
assault 



338 

14 

I 



80 

2 

35 
I 

39 
I 
1 
2 

22 

2 

227 



65 



12 
132 

1 
638 
193 
84 
265 
108 
132 

50 
186 



Burglary 



3,323 



35 



239 

II 

1,766 

5 

144 

I 

218 

2 

43 
2 

223 

7 

40 



171 

1,446 
2 

335 
8 

107 

199 



239 

3 

205 



90 



169 
61 
89 

252 

256 
49 
15 
9 
84 
99 
II 

120 



Larceny- 
theft 



19,647 

36 

39 

I 

481 

8 

120 

8 

70 



698 

98 

6,213 

26 

803 

4 

1,051 

14 

100 

II 

488 

12 

79 

10 

301 

1 

5,080 

17 

1,380 

21 

130 

3 

654 

27 

272 

4 

990 



377 


402 


1,941 


3.910 


184 


207 


8,538 


17,755 


1,269 


2,488 


6,300 


9,029 


2,917 


3,532 


2,331 


4,456 


1,087 


1,834 


632 


870 


2,000 


1,991 



110 



375 

101 

71 

323 

308 

50 

13 

18 

55 

64 

21 

206 



Motor 

vehicle 

theft 



2,519 
10 
2 



26 



10 
1 
6 
1 

53 

13 

684 

3 

43 

3 

116 

6 

10 



601 

3 
61 

1 
15 

5 
76 

5 
30 

2 
63 

3 



43 
559 

21 
2,280 
213 
938 
488 
402 
170 

93 
229 



135 



Table 8. — Number of Offenses Known to the Police, Suburban Counties, 1988 — 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* 



WEST VIRGINIA— Continued 

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 

Saint Croix 

Sheboygan 

Washington 

Winnebago 

WYOMING 

Laramie 

Natrona 



92 
124 
293 
431 
122 



1,164 
162 
187 

1,268 
312 
383 

1,261 
486 
659 
603 

1,180 
205 
853 
566 
337 
553 
784 
450 



508 
563 



95 
126 
300 
432 
122 



1,168 
162 
187 

1,283 
312 
392 

1,285 
489 
662 
607 

1,182 
205 
862 
568 
344 
555 
792 
457 



509 
569 



31 

5 

1 

136 

3 

21 

6 

43 

43 

19 

77 

3 

II 

55 

14 

17 

20 

•) 



40 
64 
105 
151 

37 



198 

50 

41 

318 

153 

108 

285 

90 

138 

II 

196 

49 

245 

164 

108 

146 

179 

101 



103 
154 



34 

49 

137 

261 

71 



867 
101 
143 
717 
146 
233 
861 
320 
435 
529 
868 
143 
535 
315 
179 
355 
544 
318 



328 
347 



i« > 



S 
2^ 



i 



< 



'Data for 1988 were not available for the Slates of Florida and Kentucky, See "Offense Estimation", page 3 for details, 
'Forcible rape figures furnished to the state-level Uniform Crime Reporting (UCR) Program administered by the Illinois Department of State Police were not in accordance with national U 
guidelines. Therefore, the figures were excluded from the forcible rape. Crime Index total, and Modified Crime Index total categories. 



136 



I 



ible 9.— Number of Offenses Known to the Police, Rural Counties 25,000 and over in Population, 1988 



ie dati 
^rson 

enses. 



I shown in this table do not rcliect county totals out arc iiic iiuiiiuci oi unciocs itinjiivu ^^ ...^ ,..v.... ^ ,-...^v, j ^v,...,. — ,- ... - — ^ V 

IS shown only if 12 months of arson data were received. Leaders (,, ) indicate zero data. The Modified Crime indcs total is the sum of the tnme Endex 
including arson 



County by State 



ALABAMA 



dllman 
e Kalb 
iCkson . 
nwrence 



ilniestone 
Marshall . 
lorgan . . 



ARIZONA 



jpache .. 

\ ochise . 
oconino 
(ohave . 
inal — 
a\apai . 



ARKANSAS 



enion 

raighead — 

iariand 

idependence 
lississippi ... 
v'hite 



CALIFORNIA 



.^averas 

'alaveras Highway Patrol 

lumboldt 

4umboldt Highway Patrol 

mperial 

mpertal Highway Patrol 

mperial State Police 

<.ings 

<ings Highway Patrol 

(Citigs Stale Police 

Lake 

Lake Highway Patrol 

Madera 

Madera Highway Patrol 

Mendocino 

Mendocino Highway Patrol 

Nevada 

Nevada Highway Patrol 

San Luis Obispo 

San Luts Obispo Highway Patrol 

Tehama 

Tehama Highway Patrol 

Tuolumne 

Tuolumne Highway Patrol 



COLORADO 



Mesa 



DELAWARE 



Kent State Police . 
Sussex State Police 



FLORIDA' 



GEORGIA 



Crime 
Index 
total 



373 
363 
399 
190 
569 
248 
419 
610 



W6 

995 

574 

1.280 

1,614 

1,270 



726 
320 
237 
901 
535 
428 



826 

59 

1,876 

59 

1,5.% 

123 

1 

1,076 

68 

1 

1,231 

42 

2.198 

100 

1,626 

137 

1.499 

94 

1,624 

136 

762 

32 

1,140 

37 



1,601 



1.743 
2.565 



ModtHed* 
Crime 
Index 

total 



Baldwin 

See footnote at end of table. 



621 



421 



196 
1.009 

574 
1.291 
1.637 
1.285 



727 
320 
238 
903 
539 
428 



864 

1,906 

1,563 

1 
1,085 

1 
1.235 

2,217 

1,649 

1,510 

1,633 

785 

1,149 



Murder 
and non- 
negligent 

man- 
slaughter 



1.743 
2,570 



622 



Forcible 
rape 



13 



Robberv 



Aggra- 
vated 
assault 



14 



19 
65 
100 
123 
210 
86 



6 

25 
102 

27 



45 

") 

252 
1 

120 
I 
1 

232 



Burglary 



173 
467 



282 

2 

172 



158 



103 

3 

64 



158 



136 
214 



131 
191 
163 

68 
280 

97 
203 
186 



51 
355 
134 
451 
464 
380 



344 
165 
97 
284 
156 
171 



419 
738 
594 



Larceny- 
theft 



390 



435 
802 
670 
341 
508 
274 
405 



404 



496 

852 



230! 



195 
100 
132 

64 
220 

96 
160 
296 



118 

475 
305 
584 
767 
674 



309 
122 
83 
529 
229 
186 



342 

10 

820 



Motor 

vehicle 

theft 



780 
16 



410 
8 
1 

569 



873 
7 

625 
19 

958 
2 

917 

37 

335 

4 

659 



954 



920 
1,309 



270 



25 
29 
41 
11 
16 
20 
35 
34 



5 
69 
30 
108 
117 
104 



50 
30 
41 
52 
25 
38 



3 
47 
26 
58 
II 
106 



16 
60 



21 
42 



93 

7 

116 

3 

92 



99 
34 
25 
4 
37 



95 
100 



24 



137 



Table 9. — Number of Offenses Known to the Police, Rural Counties 25,000 and over in Population, 1988 — Continued 



County by State 



Crime 
Index 
total 



Modified* 
Crime 
Index 
total 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



vated 
assault 



Burglary 



Larceny- 
theft 



Motor 

vehicle 

theft 



GEORGIA— Continued 

Bartow 

Carroll 

Floyd Police Department 

Glynn Police Department ... 

Hall 

Whitfield 

HAWAII 

Hawaii 

Kauai 

Maui 

IDAHO 

Bonneville 

Canyon 

Kootenai 

ILLINOIS' 

Adams 

La Salle 

Ogle 

Vermilion 

INDIANA 

Bartholomew 

Bartholomew State Police ... 

La Grange 

La Grange State Police 

La Porte 

La Porte State Police 

KANSAS 

Riley Police Department 

KENTUCKY' 



LOUISIANA 

Acadia 

Plaquemines 

Saint Landry 

Vernon 

Washington 

MAINE 

Aroostook 

Aroostook State Police . . 

Hancock 

Hancock State Police ... 

Kennebec 

Kennebec State Police . . 

Penobscot 

Penobscot State Police . . 

York 

York State Police 

MARYLAND 

Garrett 

Garrett State Police 

Saint Mary's 

Saint Mary's State Police 
See footnotes at end of table. 



641 
1.289 
1,315 
2,506 
3,209 
1,932 



3,392 
2,524 
7,558 



754 

776 

1.120 



487 
52 

262 
85 

753 
94 



239 



545 

677 

831 

1,006 

597 



104 
341 
436 

54 
195 
447 
474 
238 
374 
212 



274 

278 

1,870 

710 



1,350 
2,509 



3,409 
2,548 
7,590 



758 

783 

1,125 



497 
52 

262 
85 

753 
94 



547 
677 
839 
1,006 
600 



105 
347 
436 
54 
198 
448 
477 
238 
378 
213 



274 

283 

1.879 

754 



10 



15 



3 

72 

51 

160 

181 

108 



85 

51 
265 



27 
24 
107 



59 

69 

150 

57 



36 

31 

228 

99 



355 


205 


443 


652 


497 


639 


725 


1,401 


814 


1,882 


626 


981 



945 

641 

1,883 



194 
264 
427 



160 

156 

29 

354 



136 

9 

61 

26 

208 

7 



66 



147 
141 
244 
175 
140 



33 
119 
183 

17 

59 
200 
197 

81 
148 

93 



80 

90 

532 

183 



2,168 
1.674 
4.988 



462 
423 
524 



161 
218 
110 
595 



294 
32 

158 
32 

473 
46 



145 



285 
439 
459 
594 

372 



64 
133 
212 

22 
113 
194 
234 
102 
183 

98 



142 
140 
956 
338 



68 
108 
110 
145 

287 
185 



157 
122 
352 



68 
53 
46 



14 

34 

5 

29 



26 
2 
18 

7 
45 
16 



10 



24 
36 
53 
II 



5 
23 
21 



32 
35 
40 
30 
14 



13 

14 

115 

66 



138 



l)le 9. — Number of Offenses Known to the Police, 



Rural Counties 25,000 and over in Population, 1988 — 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 



MARYLAND— Continued 



;omico 

;omico State Police 



MICHIGAN 



;gan 

igan State Police 

ry 

■ry State Police .. 



iS State Police 

-ind Traverse 

■and Traverse State Police 

Isdale 

Isdale State Police 

la 

ia State Police 

bella 

bella Slate Police 

lawee 

lawee State Police 

inlcalm 

mtcalm State Police 

waygo 

' waygo State Police 

' nl Joseph 

int Joseph State Police ... 

' nilac 

nilac State Police 

\ iawassee 

' iawassee Stale Police 

iscola 

iscola Stale Police 

in Buren 

in Buren State Police 



MINNESOTA 



•QW Wing 

isca 

Iter Tail . 



MISSISSIPPI 



mes 

se 

owndes 
'arren 



MISSOURI 



amden 

ole 

ulaski 

aint Francois 



MONTANA 

lathead 

NEVADA 

'arson City 

NEW HAMPSHIRE 



iillsboro Slate Police . . . 
Rockingham Stale Police 



569 
827 



5.H) 
428 
581 
965 
142 

1.059 
490 
.176 
209 
268 
420 
4.12 
261 
806 
.131 
889 
266 
469 
414 
616 
145 
618 
143 
497 
167 
309 
441 
905 

1 .082 



692 
648 

723 



400 
359 
585 

578 



486 
480 
174 
238 



1,340 



1,749 



569 
831 



1.118 
566 
432 
588 
972 
157 

1,065 
491 
376 
223 
272 
427 
433 
261 
821 
334 
891 
273 
473 
419 
626 
349 
620 
151 
501 
170 
315 
446 
912 

1 ,097 



119 
57 



692 
654 
728 



400 
359 
586 

578 



490 

481 
174 
244 



1,348 



I.76I 



123 
59 



47 
20 

I 
22 
23 

4 
27 
12 
22 

5 

17 
13 

5 
19 
14 
16 
30 
13 
12 
10 
12 
29 
57 

3 

6 
16 

7 
27 

8 
42 



12 



33 



118 
136 



28 



113 



171 
320 



252 
176 
143 
216 
378 

33 
211 
153 
103 

70 

69 
124 
132 

77 
206 
102 
301 

92 
195 
141 
201 
125 
242 

55 
156 

49 
104 
146 
400 
353 



266 
248 
299 



165 
105 
296 

275 



225 
136 
98 
92 



265 



353 



257 
302 



682 
271 
247 
278 
463 

84 
763 
276 
199 
102 
159 
231 
267 
125 
500 
153 
460 
132 
198 
218 
337 
157 
288 

73 
278 

83 
167 
220 
412 
517 



327 
334 
363 



210 
149 
188 
240 



195 

272 

32 

106 



918 



1. 141 



II 

44 



57 
47 
12 
25 
52 

7 

16 
16 
15 

9 
11 
19 
15 
13 
48 
21 
41 
17 
21 
18 
38 
14 
22 

4 
16 

9 
14 
20 
55 
72 



53 
50 
35 



46 
33 
32 



26 
9 
9 

26 



107 



97 



139 



Table 9.— Number of Offenses Known to the Police, Rural 


Counties 25,000 and over in Population, 1988 — 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* 


NEW MEXICO 


729 

544 
334 
548 
412 
438 
882 
373 
304 
279 

18 
1,181 
440 
486 
157 
411 
485 
695 
181 
660 
206 
502 
648 

61 
598 
622 
652 
394 
593 
419 
891 
832 
492 
325 
156 

597 

323 

1.135 

877 

572 

1.571 

1,028 

1,040 

534 

613 

823 

1,731 

1,075 

1,113 

316 

1,452 

600 

677 

655 

938 

1,167 

597 

1,571 

747 

474 

575 

1,586 

960 


729 

354 
552 
433 
441 
899 
376 

281 
18 
1,193 
443 
496 
165 
413 
497 
700 
181 
665 
208 
532 

61 
603 
624 
663 

597 

901 
836 
492 
330 

157 

600 

325 

1,152 

884 

573 

1,571 

1,063 

1,041 

536 

623 

829 

1,766 

1,080 

1,122 

319 

1,453 

600 

680 

664 

944 

1,179 

597 

1,582 

752 

474 

575 

1,588 

977 


2 
1 


12 

3 

5 


13 
3 


49 

55 
29 
23 
39 
46 
20 
28 
31 
25 

152 
82 

9 
14 
36 
53 
34 

6 

3 
20 
30 
19 

3 
31 
62 
62 

3 
20 
70 
73 
15 
11 

6 
75 

38 
13 

100 
15 
26 
79 
60 
45 
49 
24 
53 

192 
48 
54 
9 
19 
16 
27 
13 
35 
56 
67 

109 
56 
33 
56 
39 
90 


235 

246 
114 
273 
151 
133 
255 
107 
104 
105 
1 
289 
145 
171 

49 
214 
186 
223 

78 
191 

38 
132 
170 

21 
167 
170 
273 
130 
203 
110 
364 
237 

91 
139 

34 

248 
96 
415 
303 
276 
678 
503 
333 
229 
284 
333 
733 
440 
529 
136 
615 
144 
240 
294 
371 
570 
207 
801 
271 
228 
246 
543 
363 


366 

227 
169 
240 
196 
242 
594 
226 
148 
134 

14 
713 
190 
287 

85 
146 
238 
407 

92 
430 
124 
318 
436 

31 
383 
359 
284 
252 
326 
208 
377 
542 
372 
139 

42 

265 
168 
517 
479 
236 
683 
384 
588 
219 
259 
370 
637 
492 
392 
144 
663 
373 
365 
307 
441 
431 
246 
484 
353 
187 
222 
916 
430 


52 

9 
17 

9 
25 
13 





NEW YORK 

Alleeanv State Police 








1 
1 
-) 

4 








1 


1 

9 

1 








11 
16 
13 

1 
22 
21 
17 

8 
11 

4 
25 

4 
25 
24 
18 
18 

5 

14 
24 
22 

7 
35 
13 
57 
30 
15 
36 

5 

38 
30 
86 
67 
25 

106 
53 
58 
26 
29 
42 

132 
76 

112 
21 

122 
56 
35 
28 
58 
71 
61 

144 
54 
20 
41 
70 
64 






5 

I 






1 








1 
1 


4 








1 
2 










1 
1 
2 
3 
1 
9 






3 

1 
3 




1 












2 










4 

T 
1 






1 


2 








3 
3 
5 








4 

5 
■J 

3 
5 
8 
6 

1 
5 




1 




Steuben State Police 


1 

3 


5 
II 
9 

2 
-) 




Sullivan State Police 






















4 
10 
2 
2 

■) 
6 
4 

-t 

4 

-> 

5 
2 

8 
3 


-) 

1 

8 
4 
-) 

6 
II 

7 
3 
5 

13 
20 
6 
8 
4 
7 

4 

"> 

11 
16 

4 
6 

7 
1 

3 
4 

4 


-) 

5 
7 
7 
5 

13 

13 
7 
4 

10 
7 

15 
5 

15 

19 

8 

-> 

6 
16 

17 
12 




Caldwell 




Chatham 










Duplin 






Harnett 




Iredell 






7 
3 
4 

5 

6 

-) 

5 
10 

4 

2 
2 
2 
5 










Nash 




Richmond 

Robeson 




Rutherford 

Stanly 








Wilkes 



140 



Tile 9. — Number of Offenses Known to the Police, Rural Counties 25,000 and over in Population, 1988 — Continued 



County bv 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 



NORTH DAKOTA 

Wd 

OHIO 

A abula 

imbiana 

C locton 

C -e 

h nes 

1-30 

L m 

N ion 

K cer 

K kingum 

C wa 

1 'le 

f . 

S to 

S by 

i1 ;arawas 

IV"= 

I OREGON 

I 

1 chutes 

1 chutes State Police 

1 igias 

1 iglas State Police 

. :phine 

. :phine State Police 

) math 

j math State Police 

in 

n State Police 

PENNSYLVANIA 

nstrong State Police 

Iford State Police 

dford State Police 

ler State Police 

1 rion State Police 

' arfield State Police 

I iwford State Police 

(:ene State Police 

ntingdon State Police 

liana State Police 

ferson State Police 

*rence State Police 

luylkill State Police 

iquehanna State Police . . . 

nango State Police 

SOUTH CAROLINA 

i aufort 

lerokee 

lesterfield 

irlington 

:orgetown 

"eenwood 

)rry Police Department ... 

:rshaw 

ncaster 

urens 

;onee 

"angeburg 

iititer 

illiamsburg 



240 



1.222 
518 
456 
515 
205 
436 
433 
787 
289 
992 
503 
671 
791 

1.417 
240 
223 
645 



1.007 
227 

1.812 
155 

1,522 
122 
771 
485 

1,532 
105 



502 
588 
700 
1,081 
447 
533 
810 
466 
442 
769 
290 
667 
644 
348 
724 



4,616 

697 

505 

1,530 

978 

1,320 

5,153 

993 

1,531 

1,157 

785 

3,110 

2,467 

404 



240 



1.238 



521 
205 
437 
433 
789 
289 

1,006 
503 
686 
792 

1.425 
240 
225 
655 



1.010 
228 

1.819 
156 

1.531 
127 
772 
489 

1,556 
109 



519 
600 
718 
1,125 
456 
560 
827 
479 
456 
801 
294 
681 
654 
356 
728 



4,635 

704 

516 

1,555 

990 

1.329 

5,175 

998 

1.537 

1.171 

789 

3,146 

2,500 

409 



5 


1 


3 


11 


15 


4 


16 


5 


8 


1 


6 


4 


11 


6 


4 


4 


4 


2 


9 
1 


8 


7 


16 


6 


8 


2 


4 


4 


1 



33 



34 



350 
161 

24 
120 

58 
167 
137 
231 

81 
272 
133 
236 
236 
485 

50 

55 
198 



209 

241 
387 
414 
165 
222 
331 
197 
152 
331 
137 
257 
221 
174 
304 



160 



782 
254 
409 
303 
133 
230 
248 
469 
182 
613 
345 
366 
438 
758 
153 
140 
369 



308 


628 


61 


136 


609 


1,036 


38 


87 


549 


839 


12 


59 


329 


394 


174 


194 


659 


711 


20 


52 



231 
286 
242 
487 
233 
256 
382 
191 
233 
322 
136 
279 
307 
103 
355 



403 


1,404 


2,524 


80 


306 


244 


74 


182 


205 


232 


537 


572 


104 


335 


479 


187 


368 


686 


362 


1,359 


2,975 


88 


332 


483 


137 


431 


848 


241 


400 


432 


76 


271 


389 


665 


907 


1,212 


404 


821 


1,061 


71 


153 


142 



56 
32 
15 
17 
11 
19 
30 
29 
23 
40 
14 
33 
29 
84 
22 
25 
52 



59 
13 
80 
15 
92 
15 
26 
45 
72 
12 



30 
28 
43 



57 
60 
29 
66 
14 
71 
52 
39 
45 



192 
54 
32 

133 
43 
53 

333 
66 
78 
49 
32 

185 

121 
15 



141 



Table 9. — Number of Offenses Known to the Police, Rural Counties 25,000 and over in Population, 1988 — 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 



TENNESSEE 

Bradley 

Greene 

Hamblen 

McMinn 

Roane 

TEXAS 

Anderson 

Angelina 

Henderson 

Hunt 

Starr 

Van Zandt 

Wise 

UTAH 

Cache 

VIRGINIA 

Accomack 

Accomack State Police 

Augusta 

Augusta State Police 

Bedford 

Bedford State Police 

Buchanan 

Buchanan State Police 

Carroll 

Carroll State Police 

Fauquier 

Fauquier State Police 

Franklin 

Franklin State Police 

Frederick 

Frederick State Police 

Halifax 

Halifax State Police 

Henry 

Henry State Police 

Rockingham 

Rockingham State Police . 

Russell 

Russell State Police 

Spotsylvania 

Spotsylvania State Police . 

Tazewell 

Tazewell State Police 

Wise 

Wise State Police 

WASHINGTON 

Chelan 

Clallam 

Cowlitz 

Grant 

Lewis 

Mason 

Skagit 

WEST VIRGINIA 

Berkeley 

Berkeley State Police 

Fayette 

Fayette State Police 



650 

545 
426 
317 
583 



599 
739 
852 
828 
564 
714 
616 



554 



378 
116 
844 

25 
576 

14 
286 

81 
287 

28 
451 

35 

539 

5 

975 

28 
241 

26 
1,390 

12 
338 

32 
184 

II 
1.808 

66 
297 

42 

214 

9 



1,293 

770 

911 

920 

1 .084 

1,284 

1,162 



978 
401 
131 

182 



650 

565 
429 
319 
586 



603 

745 
854 
828 
566 
721 
617 



554 



383 
116 
847 

26 
576 

15 
286 

85 
290 

29 
454 

35 

544 

5 

978 

28 
241 

26 
1,409 

13 
343 

35 
187 

12 
1,808 

66 
298 

42 
219 

11 



1,295 

774 

913 

923 

1,090 

1,298 

1,163 



1,009 
405 

134 

187 



5 


10 


2 


2 

2 




4 






2 


3 


2 








1 


8 


2 


4 


3 


T 


1 


8 




1 








2 




1 


2 


2 


1 


2 



20 



18 


3 


6 


1 


10 


7 


9 


3 


9 




11 


10 


5 


7 



195 
261 
144 
176 
189 



186 
215 
420 
432 
294 
332 
269 



131 



159 

54 

197 

2 

208 

3 

61 

15 

122 



160 

5 

136 



183 

2 

66 

6 

486 



66 
1 

278 

2 

79 

11 

74 

1 



406 
199 
400 
366 
411 
557 
430 



303 
173 
34 
37 



313 
178 
222 
112 
283 



299 
446 
350 
311 
187 
279 
301 



381 



167 

48 
537 

14 

327 

8 

132 

45 
139 

20 
217 

26 

354 

2 

687 

17 
136 

16 

762 

8 

223 

16 

88 

7 

1,358 

48 
145 

23 

116 

5 



754 
501 
416 
412 
564 
584 
665 



573 

165 

50 

105 



83 
62 
40 
6 
26 



20 
53 
27 
66 
38 
57 
23 



32 



23 
7 

41 
5 

14 
2 

43 

11 

15 
4 

44 
3 

31 
3 

68 
4 
8 
4 

79 
3 
9 
8 

29 

2 

131 

13 
7 
7 

15 
2 



69 
26 
43 
55 
44 
63 
41 



71 
51 
15 
30 



142 



T le 9. — Number of Offenses KnoHn to the Police, Rural Counties 25,000 and over in Population, 1988 — 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 



. I ^ I VIRGINIA— Continued 



H i^on 

ison State Police 

■rson 

■rson State Police 

in 



in Slate Police 

)owelI 

)owell State Police .. 

ion 

ion State Police 

cer 

cer State Police 

go 

go State Police 

longalia 

longalia State Police 

■igh 

•igh State Police 

iming 

iming State Police 



WISCONSIN 



I k 

( imbia 

Ige 

d du Lac 

nt 

STSon 

lilowoc .. 
■inette ... 



tage 

k 

wano 

mpealeau 
Iworth . , . 

upaca 

od 



STATE AGENCIES 



(ska State Police 

'■ zona Department of Public Safety 

orado State Patrol 

inecticut State Police 

, nnesota Highway Patrol 

w Mexico State Police 

rmoni State Police 

sconsin Stale Patrol 



288 
109 
1.1.1 
418 

84 
590 

56 
239 
252 
155 
292 
187 

42 
191 
222 
332 
785 
267 
161 
167 



525 
604 
291 
374 
284 
386 
451 
581 
603 
528 

433 
350 
896 
537 
490 



4.558 

15 

188 

9.965 

125 

2,317 

6,294 

7 



292 
111 

133 
422 

85 
597 

56 
240 
252 
156 
293 
188 

43 
193 
225 
333 
791 
270 
162 
169 



529 
607 
292 
374 
285 
386 
458 
583 
610 
534 
222 
433 
350 
900 
540 
494 



15 

10,092 

125 
2,342 



10 



83 



68 



19 



136 

2 

33 

17 



502 
15 



1,058 
9 

432 
231 

7 



76 
49 

37 

167 

34 

174 

7 

94 

76 

46 

119 

89 

11 

55 

67 

105 

198 

64 

92 

70 



136 

182 

66 

85 

79 

52 

162 

242 

266 

145 

33 

113 

86 

255 

162 

165 



1.367 



3,410 

3 

791 

2.335 



163 

39 

86 

199 

34 

250 

37 

64 

138 

84 

103 

48 

18 

54 

145 

176 

489 

174 

36 

62 



331 

367 
203 
257 
182 
272 
224 
302 
260 
330 
187 
274 
242 
563 
332 
291 



2,149 



4,510 

85 

795 

3,323 



29 
16 
8 
34 
12 
108 



427 



188 
773 
26 
216 
341 



'Data for 1988 were not available for the Slates ol' Florida and Kentucky See "Offense Estimation", page 3 for details. 

^Forcible rape figures furnished by the stale-level Uniform Crime Reporting (UCR) Program administered by the Illinois Department of Stale Police were not in accordance with national UCR 
delines. Therefore, the figures were excluded from the forcible rape. Crime Index total, and Modified Crime Index total categories. 



143 



Table 10.— Crime Trends, Offenses Known to the Police, Population Group, 1987-1988 

(1988 estimated population] 



Population group 



Crime 
Index 
total 



Modified 
Crime 
Index 
total' 



Violent 
crime^ 



Properly 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 

vehicle 

theft 



TOTAL ALL AGENCIES; 
11,991 agencies; 
population 216,802,000: 

1987 

1988 

Percent change 

TOTAL CITIES: 8,382 cities; 
population 149,346,000: 

1987 

1988 

Percent change 

Group I 

60 cities, 250,000 and over; 
population 44,340,000; 

1987 

1988 

Percent change 

8 cities, 1,000.000, and over; 
population 20,303.000: 

1987 

1988 

Percent change 

19 cities, 500,000 to 999,999; 
population 12,293.000: 

1987 

1988 

Percent change 

33 cities, 250,000 to 499,999; 
population 11,743.000: 

1987 

1988 

Percent change 

Group II 

125 cities. 100.000 to 249.999: 
population 18.175.000: 

1987 

1988 

Percent change 

Group III 

302 cities. 50.000 to 99.999; 
population 20,576,000: 

1987 

1988 

Percent change 

Group IV 

618 cities. 25,000 to 49,999; 
population 21,083.000: 

1987 

1988 

Percent change 



11,954,917 
12,283,337 

-1-2.7 



10,017,232 
10,291,529 

-(■2.7 



145,982 
329,342 

+4A 



,868,499 

,981,398 

+6.0 



109,720 
144,917 

+3.2 



,167,763 

,203,027 

+3.0 



1,470.867 
1.507.096 

+2.5 



1.294.739 

1,322,183 

+2.1 



1,160,948 
1,168,777 

+.7 



12,050,452 
12,380,277 

+2.7 



10,092,889 
10,369,275 

+2.7 



4,182.779 
4,367,114 

+4.4 



1.887,924 

2,001,565 

+6.0 



1,118.176 

1.153.485 

+3.2 



1,176,679 

1,212.064 

+3.0 



1,482.965 
1.519,911 

+2.5 



1,303,338 

1,330,921 

+2.1 



1.167,794 
1,175,887 

+.7 



1,312,391 

1,379,584 

+5.1 



,139,020 

,197,129 

+5.1 



645.274 

677,417 

+5.0 



370.165 

388.362 

+4.9 



135.319 

140.437 

+3.8 



139.790 

148.618 

+6.3 



152.650 

162.232 

+6.3 



121,646 
128,440 

+5.6 



92.129 
94.590 

+2.7 



10,642,526 
10,903,753 

+2.5 



8,878,212 
9,094,400 

+2.4 



3,500,708 
3,651,925 

+4.3 



1,498,334 

1.593.036 

+6.3 



974,401 
1,004,480 

+3.1 



1,027,973 

1,054,409 

+2.6 



1,318,217 

1,344,864 

+2.0 



1,173,093 

1,193,743 

+ 1.8 



1,068,819 
1,074,187 

+ .5 



17,939 

18,480 

+3.0 



14,401 
15,016 

+4.3 



8,874 
9.350 

+5.4 



4,936 
5,242 
+6.2 



2,096 

2,267 
+8.2 



1.842 

1.841 

-.1 



1.873 
1.968 
+5.1 



1.192 
1,287 
+8.0 



952 
961 

+.9 



77,093 

77,907 

+1.1 



61,440 

62,147 

+1.2 



30.055 

29,152 

-3.0 



11,037 

10,682 

-3.2 



9,331 

8,949 

-4.1 



9.687 

9,521 

-1,7 



9,484 
10,055 

+6.0 



7,989 
8.108 
+ 1.5 



5,786 
6,011 
+3.9 



469,658 

488,572 
+4.0 



438,158 

454,879 

+3.8 



297,101 
305,317 

+2.8 



181.527 
186.514 

+2.7 



59.933 

61.798 

+3.1 



55.641 
57.005 

+2.5 



54,458 
58.437 

+ 7.3 



37,883 
39,920 

+5.4 



24,778 

25,873 

+4.4 



747,701 

794,625 

+6.3 



625,021 

665,087 

+6.4 



309,244 
333,598 

+7.9 



172.665 
185,924 

+7.7 



63,959 
67.423 

+5.4 



72,620 
80,251 
+ 10.5 



86.835 
91,772 

+5.7 



74.582 

79,125 

+6.1 



60,613 

61.745 

+ 1.9 



2,834,860 

2,804,751 

-1.1 



2,248,057 

2,219,626 

-1.3 



937,599 

929,109 

-.9 



385.448 

393.003 

+2.0 



265.276 

257.054 

-3.1 



286.875 
279,052 

-2.7 



365,083 

358.401 

-1.8 



295,713 
293.697 

-.7 



252,753 

247.541 

-2.1 



6,642,781 
6,801,638 

+2.4 



5,612,941 

5,739,318 

+2.3 



1,997.184 

2,084,195 

+4.4 



808,590 

848,390 

+4.9 



575,063 
602,278 

+4.7 



613,531 

633,527 

+3.3 



829,213 
843,495 

+ 1.7 



752,382 

763,988 

+ 1.5 



727.909 
731,203 

+.5 



1,164,885 

1,297,364 

+11.4 



1,017,214 

1,135,456 

+ 11.6 



565,925 

638,621 

+ 12.8 



304,296 

351,643 

+ 15.6 



134,062 

145,148 

+8.3 



127,567 
141,830 

+ 11.2 



123,921 

142,968 

+ 15.4 



124.998 

136,058 

+8.8 



88,157 
95,443 

+8.3 



144 



Tile 10. — Crime Trends, Offenses Known to the Police, Population Group, 1987-1988 — Continued 



Population group 



Crime 
Index 
total 



Modified 
Crime 
Index 
total' 



Violent 
crime- 



Property 
crime' 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robberv 



Aggra- 
vated 
assault 



Burglary' 



Larceny- 
thel'l 



Motor 

vehicle 

Iheft 



Group V 

I ones, 10.000 to 24.999: 
.pulation 24,132,000: 

l"S7 

l'JS8 

Percent change 

Group VI 

■6 cities under 10.000; 
jpulation 21,040.000: 

1987 

1988 

Percent change 

Suburban Counties 

:1 agencies: 
opulation 40.560.000: 

1987 

1988 

Percent change 

Rural Counties' 

' 8 agencies: 
jpulation 26,896.000: 

1987 

I 1988 

Percent change 



Suburban Area' 

15 agencies: 
opulation 84,838,000: 

1987 

1988 

Percent change 



1,079,287 

1,092,984 

-1-1.3 



865,409 

871,147 

+.7 



1,415,881 
1,461,529 

-1-3.2 



521,804 

530,279 

+ 1.6 



3,405,000 
3,464,086 

-1-1.7 



1,085,347 

1,099,171 

-1-1.3 



870,666 

876,271 

+.6 



1,430,682 
1,475,895 

-1-3.2 



526.881 

535.107 

-H.6 



3.431,822 

3.490,742 

-M.7 



72.509 
76.638 

+ 5.1 



54.812 

57,812 

-(-5.5 



127.372 

136,174 

+6.9 



45.999 
46.281 

+.6 



266,770 

279,700 

+4.8 



1.006.778 

1.016.346 

+ 1.0 



* 10.597 
513.335 

+.3 



1.288.509 

1.325.355 

+2.9 



475.805 
483.998 

+ 1.7 



3.138.230 

3.184,386 

+ 1.5 



869 
827 
-4.8 



641 

623 



2.139 
2.086 



1,399 

1.378 

-1,5 



3.573 
3.543 



4.787 
5.095 
+6.4 



3.339 
3.726 
+ 11.6 



10.752 

10.895 

+ 13 



4,901 
4,865 

-.7 



19.349 

19.997 

+ 3.3 



15.908 

16.878 

+6.1 



8,030 
8,454 

+ 5.3 



27,817 
29,900 

+ 7,5 



3.683 
3.793 
+ 3.0 



63.200 
66.179 

+4.7 



50.945 
53,838 

+ 5,7 



42,802 
45.009 

+ 5,2 



86,664 

93,293 

+7.6 



36.016 

36.245 

+ .6 



180.648 
189,981 

+5.2 



225.485 

222.224 

-1.4 



171.424 

168.654 

-1.6 



403.842 

402.035 

-.4 



182.961 
1 83.090 

+.1 



815.129 

800,652 

-1.8 



711,332 

719.204 

+ 1.1 



594.921 
597.233 

+.4 



766,709 

792.165 

+3.3 



263.131 
270.155 

+2,7 



2.050.849 

2,085.514 

+ 1.7 



69.961 
74.918 

+7,1 



44.252 

47.448 

+7.2 



117.958 

131,155 

+ 11.2 



29,713 
30.753 

+3.5 



272,252 

298,220 

+9.5 



6.060 
6.187 

+2,1 



5.257 

5.124 

-2.5 



14.801 

14.366 

-2.9 



5.077 

4.828 

-4.9 



26.822 

26.656 

-.6 



'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 
uded in this table. The Modified Crime Index total is the sum of the Crime Index offenses, including arson, 

'Violent crimes are olTenses of murder, forcible rape, robbery, and aggravated assault, 

^Property crimes are offenses of burglary, larceny-thett. and motor vehicle theft. Data are not included for the properly 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 stale-level Uniform Crime Reporting (LICR) Program administered by the Illinois Depaament of State Police were not in accordance with national LICR 
i leiines and were excluded from the forcible rape, violent crime. Crime Index total, and Modified Crime Index total categories, 
'1 Complete data for 1988 were not available for the States of Florida and Kentucky, See "Offense Estimation", page 3 for details. 



145 



Table 11. — Crime Trends, Offenses Known to the Police, Suburban and Nonsuburban Cities', Population Group, 1987-1988 

[1988 estimated population] 



Population group 



Crime 
Index 
total 



Modified 
Crime 
Index 
total' 



Violent 
crime' 



Properly 
crime* 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 

vehicle 

theft 



Suburban Cities 

TOTAL SUBURBAN CITIES: 
4,544 cities; 

population 44,278.000: 

1987 

1988 

Percent change 



1.989,119 
2.002,557 

-1-7 



2.001,140 
2.014,847 

+.7 



139.398 

143,526 

-1-3.0 



1.849.721 
1,859,031 

-I-.5 



1,434 
1.457 
-H.6 



8.597 
9.102 
4-5.9 



35.383 
36.279 

-f2.5 



93,984 
96,688 

-(-2.9 



411.287 

398.617 

-3.1 



1.284,140 
1.293,349 

■f7 



Group IV 

455 cities, 25,000 to 49,999; 
population 1 5,430,000: 

1987 

1988 

Percent change 

Group V 

1,078 cities, 10,000 to 24,999: 
population 17,141,000: 

1987 

1988 

Percent change 

Group VI 

3,011 cities under 10,000; 
population 11,707,000: 

1987 

1988 

Percent change 

Nonsuburban Cities 

TOTAL NONSUBURBAN 
CITIES: 3,351 cities; 
population 21,977,000: 

1987 

1988 

Percent change 



783,520 
785,651 

4-. 3 



700,778 

708,458 

-1-1. 1 



504,821 
508,448 

-I-.7 



1,116.525 
1.130.351 

-1-1.2 



Group IV 

163 cities, 25,000 to 49,999; 
population 5,653,000: 

1987 

1988 

Percent change 

Group V 

453 cities, 10,000 to 24,999; 
population 6,991,000: 

1987 

1988 

Percent change 

Group VI 

2,735 cities under 10,000; 
population 9,333,000: 

1987 

1988 

Percent change 



377,428 
383,126 

-1-1.5 



378,509 

384,526 

+ 1.6 



360,588 

362,699 

+.6 



788,327 
790,608 

+3 



704,882 

712,687 

+ 1.1 



507,931 
511,552 

+.7 



122,667 

136,482 

+ 1.2 



63,514 

64,479 

+ 1.5 



46,273 
48,336 

+4.5 



29,611 
30.711 

+3.7 



80.052 

85.514 

+6.8 



720,006 

721,172 
+.2 



654,505 
660,122 

+.9 



475,210 

477,737 

+.5 



1,036,473 

1,044,837 

+,8 



623 
639 

+2.6 



530 
516 
-2.6 



281 
302 

+7.5 



1,028 
954 

-7.2 



3,762 
3.910 

+ .^.9 



2.964 
3,140 
+5.9 



1,871 
2,052 
+9.7 



5,315 
5,730 
+7.8 



18,097 
18,399 

+ 1.7 



11,779 
12,209 

+3.7 



5.507 
5,671 
+3.0 



13,3.33 
14,926 
+11.9 



41,032 

41,531 

+ 1.2 



31,000 

32,471 

+4.7 



: 1 ,952 

22,686 

+3.3 



60.376 
63.904 

+5.8 



168,904 

162,838 

-3.6 



146,450 

142,248 

-2.9 



95,933 
93,531 

-2.5 



238.375 

239.802 

+.6 



480,775 
481,864 

+.2 



453,752 

459,648 

+ 1.3 



349,613 

351.837 

+.6 



750,022 

754.291 

+.6 



379,467 

385,279 

+ 1.5 



380,465 

386.484 

+ 1.6 



362,735 
364,719 

+.5 



28,615 
30,111 

+5.2 



26,236 
28,302 

+7.9 



25,201 
27,101 

+ 7.5 



348.8 1 3 
353.015 

+ 1.2 



352,273 

356,224 

+ 1.1 



335,387 
335,598 

+.1 



329 
322 
-2.1 



339 
311 
-8.3 



360 

321 
-10.8 



2.024 
2,101 
+3.8 



1,823 
1,955 

+ 7.2 



1.468 
1,674 
+ 14.0 



6.681 
7.474 
+ 11.9 



4,129 
4,669 
+ 13.1 



2,523 
2,783 
+ 10.3 



19,58! 
20,214 

+3.2 



19,945 

21,367 

+7.1 



20,850 

22, '521 

+ 7.1 



83,849 

84,703 

+ 1.0 



79,035 

79,976 

+ 1.2 



75,491 

75,123 

-.5 



247,134 

249,339 

+.9 



257,580 

259,556 

+.8 



245,308 
245,396 



154.294 

167.065 

+8.3 



70.327 

76,470 

+8.7 



54,303 
58,226 

+7.2 



29,664 

32,369 

+9.1 



48,076 
50.744 

+5.5 



17,830 

18,973 

+6.4 



15,658 

16,692 

+6.6 



14,588 
15,079 

+3.4 



'Suburban places are within Metropolitan Statistical Areas (MSAs) and include suburban city and county law enforcement agencies within the metropolitan area. Central cities are excl ii 
Nonsuburban places are outside MSAs. 

^The number of agencies used m arson trends is less than used m compiling trends for other Crime Index offenses, ll is not necessary to report arsons by property classification to be inc cc 
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 Ihel'l, 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 TR 
guidelines and were excluded from the forcible rape, violent crime, Crime Index total, and Modified Crime Index total categories. 

Complete data for 1988 were not available for the States of Florida and Kentucky. See "OlTense Estimation'", page 3 for details. 



146 



able 12. — Crime Trends, Offenses Kno»n to the Police, Suburban and Nonsuburban Counties, Population Group, 1987- 


-1988 






)KS estimated population] 


























Population group 


Crime 
Index 
total 


Modified 
Crime 
Index 
total' 


Violent 
crime^ 


Property 
crime' 


Murder 
and non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robber>' 


Aggra- 
vated 
assault 


Burglarv' 


Larceny- 
theft 


Motor 

vehicle 

theft 


.Arson' 


Suburban Counties* 


























100.000 and over 


























counties; 


























population 22.365,000; 

1987 


936,782 

976,025 

+4.2 


946.945 

986.021 

+4.1 


84.634 

92,568 

+9.4 


852.148 
883.457 

+3.7 


1.256 

1,236 

-1.6 


6.318 
6.335 

+.3 


22.483 

24.625 

+9.5 


54.577 
60.372 
+ 10,6 


253,751 

253,089 

-.3 


514.689 

534.901 

+3,9 


83.708 
95.467 
+ 14.0 


10,163 


1988 


9,996 


Percent chance 


-1.6 


1 ,., ^Vll I bll^^llgW ................ 

25,000 TO 99,999 




3 counties; 


























population 15,672,000: 

1987 


359.307 
368.096 

+2.4 


362.496 
371.168 

+2.4 


30.596 
31.666 

+3.5 


328.711 
336.430 

+2.3 


670 
649 
-3.1 


3.068 
3.079 

+ .4 


3.567 
3,635 

+ L9 


23.291 
24.303 

+4.3 


118,095 

118,824 

+,6 


189.692 

195.496 

+3.1 


20,924 
22,110 

+5.7 


3.189 


1988 


3.072 


Percent change 


-3.7 


Under 25,000 


























8 counties; 


























population 2,523,000: 

1987 


119,792 

117,408 

-2.0 


121.241 

118,706 

-2.1 


12.142 

11,940 

-1.7 


107.650 

105.468 

-2.0 


213 
201 
-5.6 


1.366 
1.481 
+8.4 


1,767 
1.640 

-7.2 


8.796 

8.618 

-2.0 


31,996 

30,122 

-5.9 


62.328 

61.768 

-.9 


13,326 

13,578 

+ 1,9 


1.449 


1988 


1.298 


Percent change 


-10.4 






25,000 and over 


























8 counties; 


























population 10,958,000: 

1987 


211.691 

217,289 

+2.6 


213.567 

219.125 

+2.6 


19.306 
19.180 

-.7 


192.385 

198.109 

+3.0 


474 

490 

+ 3.4 


1.815 
1.972 
+8.7 


1.669 
1.782 
+6.8 


15.348 
14.936 

-2.7 


71.406 

72.462 

+ 1.5 


109.367 

113.426 

+3.7 


1 1,612 

12,221 

+5.2 


1.876 


1988 


1,836 


Percent change 


-2.1 


10,000 TO 24,999 




(2 counties; 


























population 10,731,000: 

1987 


168.680 

171.710 

+ 1.8 


170.344 

173.225 

+ 1.7 


13.892 
14.334 

+3.2 


154.788 
157.376 

+ 1.7 


494 

511 

+3.4 


1.266 

1.276 

+.8 


1,050 
1,066 
+ 1.5 


11.082 

11.481 

+ 3.6 


62.898 
63.068 

+.3 


83.051 
85.133 

+2.5 


8.839 
9,175 
+3.8 


1.664 


1988 


1.515 




-9.0 


Under 10,000 




467 counties; 


























population 4,844,000: 

1987 


117.903 

117,615 

-.2 


119.319 
118.924 

-.3 


10.216 

10.023 

-1.9 


107.687 

107.592 

-.1 


366 
330 
-9.8 


1.575 
1.394 
-11,5 


759 

735 
-3 2 


7.516 

7.564 

+ .6 


40.488 
39.600 

.1 ") 


59.985 

60.616 

+ 1,1 


7.214 
7,376 

+2.2 


1.416 


1988 


1 ..309 


Percent change 


-7.6 







'The number of agencies used in arson 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 
this table. The Modified Crime Index total is the sum of the Crime Index offenses, mcluding arson, 
^Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 

'Property crimes are olTenses of burglary, larceny-theft, and motor vehicle theft. Dala are not included for the property crime of arson. 
*Cnme otTenses include sheriffs" and county law enforcement agencies. State police offenses are not included. 

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 
liidelines and were excluded from the forcible rape, violent crime, Crime Index total, and Modified Crime Index total categories. 
Complete dala for 1988 were not available for the States of Florida and Kentucky. See "Offense Estimation", page 3 for details. 



147 



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149 



Table 14. — Crime Rates, Offenses Known to the Police, Population Group, 1988 

[1988 estimated 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' 



TOTAL ALL AGENCIES: 

10,845 agencies; 
population 205.392,000: 
Number of offenses known 
Rate 

TOTAL CITIES: 7,434 cities; 
population 141,641,000: 
Number of offenses known 
Rate 

Group I 

59 cities, 250,000 and over; 
population 43,994,000: 
Number of offenses known 
Rate 

8 cities, 1,000,000 and over; 
population 20,303,000: 
Number of offenses known 
Rate 

19 cities, 500,000 to 999,999; 
population 12,293,000: 
Number of offenses known 
Rate 

32 cities, 250.000 to 499,999; 
population 1 1 ,398,000: 
Number of offenses known 
Rate 

Group II 

124 cities, 100,000 to 249,999; 
population 18,074,000: 
Number of offenses known 
Rate 

Group III 

281 cities, 50,000 to 99,999; 
population 19,309,000: 
Number of offenses known 
Rate 



12.068,309 

5,875.7 



10,099,302 
7.130.2 



4,316,566 
9,811.7 



1,983,245 
9,768.0 



1,144,917 
9,313.5 



1,188,404 
10,426.8 



1,510,250 
8,355.8 



1,271,399 
6,584.4 



1,-168,901 
666,5 



10,699.408 
5,209.3 



18.339 
8.9 



80.987 
39.4 



485.522 
236.4 



784,053 
381.7 



2,756,900 
1,342.3 



6.661.075 
3,243.1 



1,281,433 
623.9 



,183,708 
835.7 



8,915,594 
6,294.5 



14.854 
10.5 



64,593 
45.6 



450,522 
318.1 



653,739 
461.5 



2.180,286 
1,539.3 



5,618,893 
3,967.0 



1,116,415 

788,2 



677,667 
1,540.4 



390,209 
1,921.9 



140,4,17 
1,142.4 



147,021 
1,289.9 



162,572 
899.5 



122,357 
633.7 



3.638,899 
8,271.3 



1,593,036 
7,846.1 



1,004,480 
8,171.1 



1,041,38.1 
9,136.9 



1,347,678 
7,456.3 



1,149,042 
5,950.8 



9,340 
21.2 



5.242 
25.8 



2.267 
18.4 



1,831 
16.1 



1,967 
10.9 



1,245 
6.4 



30,797 
70.0 



12,529 
61.7 



8,949 
72.8 



9,319 
81.8 



10,261 
56.8 



8,191 
42.4 



304,659 
692.5 



186,514 
918.6 



61,798 
502.7 



56.347 
494.4 



58,606 
324.2 



38,203 
197.8 



332,871 
756.6 



185,924 
915.7 



67.423 
548.5 



79,524 
697.7 



91,738 
507.6 



74,718 
387.0 



925,672 
2,104.1 



393,003 
1,935.6 



257,054 
2,091.0 



275,615 
2,418.2 



359,119 
1.986.9 



282,984 
1,465.5 



:,076,066 
4,719.0 



848,390 
4,178.5 



602,278 
4,899.3 



625,398 
5,487.1 



845,504 
4,677.9 



737,431 
.1,819.1 



637,161 
1,448.3 



351,643 
1,731.9 



145,148 
1,180.7 



140,370 
1,231,6 



14.1,055 
791.5 



128.627 
666.1 



150 



1 

T le 14. — Crime Rates, Offenses Known to the Police, Population Group, 1988 


— Continued 
















Modified 






Murder 
















Population group 


Crime 
Index 


Crime 
index 


Violent 
crime- 


Property 
crime^ 


and non- 
negligent 


Forcible 
rape 


Robbery 


Aggra- 
vated 


Burglary 


Larceny- 
theft 


Motor 
vehicle 


Arson' 




total 


total' 






man- 
slaughter 






assault 






theft 




Group IV 


























cities. 25.000 to 49,999; 


























opulalion 20.085.000: 


























Number of offenses known . . 


1,151,003 




94.355 


1.056.648 


939 


6.460 


25.465 


61,491 


244.116 


718.467 


94.065 




Rate 


5,730.8 




469.8 


5,261.0 


4.7 


32.2 


126.8 


306.2 


1.215.4 


3,577.2 


468.3 




Group V 


























.4 cities. 10.000 to 24.999; 


























opulation 21.631.000: 


























Number of offenses known . . 


1,027,735 




72.303 


955.432 


768 


5,169 


15.808 


50.558 


209,122 


676.664 


69.646 




Rate 


4.751.3 




334.3 


4.417.0 


3.6 


23.9 


73,1 


233.7 


966.8 


3.128.2 


322.0 




Group VI 


























9 cities under 10,000; 


























lOpulation 18.548.000: 


























Number of offenses known . . 


822.349 




54,454 


767,895 


595 


3,715 


7,781 


42,.363 


159.273 


564.761 


43,861 




Rate 


4.433.6 




293.6 


4.140.0 


3,2 


20.0 


42.0 


228.4 


858.7 


3.044.8 


236.5 




Suburban Counties 


























*!3 agencies; 


























lOpulation 38,439.000: 


























Number of offenses known 


1,446.844 




139,464 


1.307,380 


2,128 


11,426 


31.263 


94.647 


396.625 


775.948 


134.807 




Rate 


3.764.0 




362.8 


3,401.2 


5.5 


29.7 


81.3 


246.2 


1.031.8 


2.018.6 


350.7 




Rural Counties' 


























78 agencies; 


























•opulation 25.312.000: 


























Number of offenses known 


522.163 




45,729 


476,434 


1,357 


4,968 


3.737 


35.667 


1 79,989 


266.234 


30.211 




Rate 


2.062.9 




180.7 


1,882.3 


5.4 


19.6 


14.8 


140.9 


711.1 


1.051.8 


119.4 




Suburban Area' 


























-94 agencies; 


























wpulation 78.209.000: 


























Number of offenses known 


3.358.180 




278,071 


3.080.109 


3,5 1 8 


21,004 


66.159 


187.390 


777.525 


2.008.984 


293.600 




Rate 


4.293.8 




355.5 


3.938.3 


4.5 


26.9 


84.6 


239.6 


994.2 


2,568.7 


375.4 








'Arson rates are not presented in this table because fewer agencies furnished complete reports for ars 


on than for o 


Iher seven C 


rime Index o 


Tenses. Independently tabulated arson rates appear 


page 43 of this publication. 














■Violent crimes are otTenses of murder, forcible rape. robber>. and aggravated assault. 














^Property cnmes are offenses of burglary, larceny-theft, and motor vehicle theft. Data are not 


included fo 


r the propen 


y crime of 


arson. 






Mndudes state police agencies with no county breakdown. 














'Includes suburban city and county law enforcement agencies within metropolitan areas. Exclu 


des central c 


ities. Suburl 


an cities an 


d counties are also included in othe 


groups. 


Population figures were rounded to the nearest thousand. All rates were calculated on the pop 


ulation befo 


re rounding. 










Forcible rape figures furnished by the state-level Uniform Crime Reporting (UCR) Program adminis 


ered by the 1 


linois Depar 


tment of State Police were not in accordance with national UCR 


dehnes. See Appendix 1 for details. 














Complete data for 1988 were no 


available fc 


r the States 


of Rorida a 


nd Kentuck 


1. See "Offe 


nse Estimati 


Dn". page 3 


for details. 











151 



Table IS. — Crime Rates, Offenses Known to the Police, Suburban and Nonsuburban Cities', Population Group, 1988 

[1988 estimated population. Rate: Number of crimes per 100,000 inhabitants) 



Population group 



Crime 
Index 
total 



Modified 
Crime 
Index 
totaF 



Violent 
crime^ 



Property 
crime** 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggra- 
vated 
assault 



Burglary 



Larceny- 
theft 



Motor 

vehicle 

theft 



Arson*' 



Suburban Cities 

TOTAL SUBURBAN CITIES: 

3,961 cities; 
population 39,770,000: 
Number of oflenses known 
Rate 



Group IV 

433 cities, 25,000 to 49,999; 
population 14,731,000: 
Number of offenses known 
Rate 



Group V 

939 cities, 10,000 to 24,999; 
population 15,039,000: 
Number of offenses known 
Rate 



Group VI 

2,589 cities under 10,000; 
population 10,001,000: 
Number of offenses known 
Rate 



Nonsuburban Cities 

TOTAL NONSUBURBAN 
CITIES: 3,009 cities: 
population 20.494.000: 
Number of offenses known 
Rate 



Group IV 

154 cities, 25,000 to 49,999; 
population 5,354,000: 
Number of offenses known 
Rate 



Group V 

425 cities, 10,000 to 24,999; 
population 6,592,000: 
Number of offenses known 
Rate 



Group VI 

2,430 cities under 10,000; 
population 8,548,000: 
Number of offenses known 
Rate 



1,911,272 

4,805.8 



780,083 
5,295.6 



656,445 
4,365,0 



474,744 
4,747.2 



1,089,786 

5,317,7 



370,910 
6,927.9 



371,270 
5,632.1 



347,606 
4,066.6 



138,543 

348.4 



1,772,729 
4,457.4 



1,390 

3.5 



9,514 

23.9 



34,896 

87.7 



92,743 

233.2 



380,900 

957.8 



1,233,036 

3.100.4 



64,966 
441.0 



45,000 
299.2 



28,577 
285.8 



715,117 
4,854.6 



611,445 
4,065.8 



446,167 
4,461.4 



632 

4.3 



470 
3.1 



2.9 



4.269 
29.0 



3,205 
21.3 



2,040 
20.4 



18,407 
125.0 



11,314 
75.2 



5,175 
51.7 



41,658 



.TO,011 
199.6 



21.074 
210.7 



162,113 
1,100.5 



131,446 

874.1 



87.341 
873.4 



477,337 
3,240.4 



426,209 
2,834.1 



329,490 
3,294.7 



82,540 
402,8 



1,007.246 
4.915,0 



912 

4,5 



5.801 
28,3 



14.158 
69,1 



61,669 
300.9 



231.611 
1,130.2 



726.856 
3,546.8 



29,379 
548.7 



27,283 
413.9 



25,878 
302.8 



341,531 
6,379.2 



343,987 
5,218.2 



321,728 
3,764.0 



307 

5.7 



298 

4.5 



307 
3.6 



2,181 
40.7 



1.944 
29.5 



1.676 
19.6 



7,058 
131.8 



4,494 
68.2 



2,606 
30.5 



19,833 
370.4 



20,547 
311.7 



21,289 
249.1 



82,003 
1,531.7 



77,676 
1,178.3 



71,932 
841.5 



241,130 
4,503.9 



250,455 
3,799.3 



235,271 
2,752.5 



158,793 

399.3 



75,667 
513.7 



53,790 

357.7 



29,336 
293.3 



48,779 
238.0 



18,398 
343.6 



15,856 
240.5 



14,525 
169.9 



'Suburban places are within Metropolitan Statistical Areas (MSAs) and Include suburban city and county law enforcement agencies within the metropolitan area. Central cities are exclu 1. 
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 r :s 
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. 

Population figures were rounded to the nearest thousand, .Ml rates were calculated on the population before rounding. 

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 I R 
guidelines. See .Appendix I for details. 

Complete data for 1988 were not available for the States of Florida and Kentucky. See "Offense Estimation", page 3 for details. 



152 



lt)le 16. — Crime Rates, Offenses Know 


u to the Police, Suburban and 


Nonsuburban Counties, Popu 


ation Group, 1988 








[ 88 eslimaled population. Rate: 


Number of 


crimes per 


100,000 in 


Habitants] 
















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' 


Suburban Counties' 


























100.000 and over 


























counties: 
opulation 21,200,000: 

Number of offenses known . . 

Rate 


963,265 
4,543.8 




94.866 
447.5 


868,399 
4,096,3 


1.284 
6.1 


6,684 
31.5 


25,920 
122.3 


60.978 
287.6 


249,481 
1,176.8 


519,799 
2,451.9 


99,119 
467,6 




25,000 to 99,999 


























i> counties: 

uopulation 14,849,000: 
Number of offenses known 
Rate 


360,277 
2.426.2 




31,626 
213.0 


328,65 1 
2,213 2 


634 
4.3 


3,147 
21.2 


3,619 
24.4 


24,226 
163.1 


115,700 
779.2 


191,230 
1,287.8 


21,721 
146.3 




Under 25,000 




>( counties: 

Bopulation 2,390,000: 
Number of offenses known 
Rate 


123.318 
5,159.6 




12,988 
543,4 


110,330 
4,616.2 


210 

8,8 


1,611 
67.4 


1,724 
72.1 


9,443 
395.1 


31,444 
1,315.6 


64,919 
2,716.2 


13,967 
584.4 




Nonsuburban Counties' 


























25,000 and over 


























) 1 counties: 
wpulation 10,366,000: 

Rate 


214,192 
2,066.3 




18,778 
181.2 


195,414 
1,885.2 


478 
4.6 


1,963 
18.9 


1,789 
17.3 


14,548 
140.3 


71,343 
688,2 


112,062 
1,081.1 


12,009 
115.9 




10,000 to 24,999 


























6 counties; 

population 10,183,000: 
Number of offenses known 
Rate 


166,945 
1.639.4 




13,859 
136.1 


1 53.086 
1,503.4 


496 
4.9 


1,306 
12.8 


970 
9.5 


11,087 
108.9 


61,092 
600.0 


83.124 
816.3 


8,870 
87.1 




Under 10,000 


























362 counties: 
population 4,399,000: 

Number of offenses known . . 

Rate 


117,316 
2,666.8 




10,. 321 
234.6 


106.995 

2,432.2 


335 
7.6 


1.455 
33.1 


768 
17.5 


7,763 
176.5 


39.592 
900,0 


60,058 
1,365.2 


7,345 
167.0 









'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 
'pear on page 43 of this publication. 

■Violent crimes are otTenses of murder, forcible rape. robber>-. 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. 

*OfTenses include sheriffs' and county law enforcement agencies. State police offenses are not included. 

Population figures were rounded to the nearest thousand. All rates were calculated on the population before rounding. 

Forcible rape figures furnished by the state-level Uniform Crime Reporting (UCR) Program administered by the Illinois Department of Slate Police were not in accordance with national UCR 
lidelines- See .Appendix 1 for details. 

Complete data for 1988 were not available for the States of Florida and Kentucky. See "Offense Estimation", page 3 for details. 



153 



o 



o 



S I 



is 

o 



s ° 



J: I 



154 



c 

< 


o 
























15 
o 








3 








> 
O 

o 
5 


of 




3 "' 


26,416 
64.4 

8,771 
50.7 

8,681 
70.6 

8.964 

786 

10.3(18 
60 

10,109 
53,1 


Trucks 

and 
buses 




5^ 

in 


81,987 
200.0 

40,824 
235.8 

19.707 
160.3 

21,456 
188.3 

20,606 
119.2 

19,880 
104.5 


o 

3 
< 




in g 
r-' N© 

OO 


483,746 
1,179.9 

257,036 
1,485.0 

116,760 
949.8 

109,950 
964.7 

103,603 
599.3 

95,933 
504.2 


3 
OQ 


Attempted 

forcible 

entry 




90 


75.952 
185.2 

37,982 
219,4 

18,177 
147,9 

19,793 
173,7 

24,463 
141 5 

25,692 
135,0 


,3 

* s 

S a 
D 




I- 


173,428 
423.0 

66.520 
384.3 

49.637 
403.8 

57.271 
502.5 

60,946 
352,6 

63,318 
332.8 




is 




624,232 
1,522.5 

236.441 
1,366.0 

189,240 
1.539.4 

198,551 
1,742.0 

249,020 
1,440.6 

187,799 
987,1 


3 
« 

> 

1 

< 


Hands, 

fists, 
feel, etc. 


5- 


r4 00 

2'- 


48,953 
119.4 

26.905 
155.4 

8,476 
68.9 

13,572 
119.1 

17,521 
101.4 

21,076 
110.8 






On 


98.661 
240.6 

49,236 
284.4 

23,637 
192.3 

25,788 
226.3 

31,006 
179.4 

24,033 
126.3 


Knife or 
cutting 
instru- 
ment 






70.689 
172,4 

36,739 
212,2 

15,759 
128,2 

18,191 
159.6 

18,884 
109.2 

15,272 
80.3 




1' 


2B "^ 


78,580 
191.7 

37,056 
214.1 

19,551 
159,0 

21,973 
192.8 

18.012 
104.2 

13,325 
70.0 


w 

o 

a: 


ia-o 

v5 "= 




00 — 


113.912 

277.8 

63,401 
366.3 

25.970 
211.3 

24,541 
215.3 

23,855 
138.0 

17,991 
94.6 


ll 






29,328 
71.5 

18,702 
108.0 

4.977 
40.5 

5.649 
49,6 

5,595 
32.4 

3,495 
18.4 


Knife or 
cutting 
instru- 
ment 


NC 




39.119 
95,4 

24,934 
144.0 

7.517 
61.1 

6.668 
58.5 

7,177 
41.5 

4.776 
25.1 






1* 


93.325 
227.6 

50.502 
291.8 

23.334 
189.8 

19,489 
171.0 

16.728 
96.8 

10,958 
57.6 


2 

£ 


Assault 
to rape- 
attempts 


r 


r4 vo 


5,507 
13.4 

2,028 
11.7 

1,492 
12,1 

1.987 
'7.4 

1,706 
9.9 

1,678 
8.8 


a: 


S2 


1^ so 


23.443 
57.2 

8.654 
50.0 

7,457 
60.7 

7.332 
64.3 

7,982 
46.2 

6,449 
33.9 




a 

3 
O 

00 

c 
.2 

« 

3 

a. 

s. 


TOTAL ALL AGENCIES: 
10,790 agencies: 
populaHon 200,697,000: 
Number of offenses known ... 




TOTAL CITIES: 7,399 cities: 
population 137,318,000: 
Number of offenses known ... 
Ratf 




Group I 

58 cities. 250.000 and over; 
population 41,000,000: 
Number of offenses known . . 
Rale 


7 cities, 1,000,000 and over; 
population 17,309,000: 
Number of offenses known . . 
Rale 


19 cities, 500,000 to 999,999; 
population 12,293,000: 
Number of offenses known 


32 cities, 250,000 to 499,999; 
population 11,398,000: 
Number of offenses known 


Group II 

119 cities, 100,000 to 249,999; 
population 17,286,000: 
Number of offenses known . . 
Rale 


Group III 

277 cities, 50,000 to 99,999; 
population 19.026,000: 
Number of offenses known , . 
Rale 





? ;3 c 



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3 






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£ fi = w t;; 



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o a-, o 



tu « E <u 

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OO e-z OS 



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155 



Table 18.— Offense Analysis, 1988, and Percent Change from 1987 

[12.019 agencies; 1988 estimated population 211,619,000) 



Classification 



Number of 

offenses 

1988 



Percent 

change over 

1987 



Percent 
distribu- 
tion' 



MURDER 

FORCIBLE RAPE 

ROBBERY: 

Total 

Street/highway 

Commercial house 

Gas or service station 

Convenience store 

Residence 

Bank 

Miscellaneous 

BURGLARY: 

Total 

Residence (dwelling): 

Night 

Day 

Unknown 

Nonresidence (store, office, etc.): 

Night 

Day 

Unknown 

LARCENY-THEFT (EXCEPT MOTOR VEHICLE THEFT): 
Total 

By type: 

Pocket-picking 

Purse-snatching 

Shoplifting 

From motor vehicles (except accessories) 

Motor vehicle accessories 

Bicycles 

From buildings 

From coin-operated machines 

All others 

By value: 

Over $200 

$50 to $200 

Under $50 

MOTOR VEHICLE THEFT 



17,091 
78,853 



461.184 



248,908 
55,057 
13,379 
29,332 
48,350 
6,585 
59,573 



2,660,568 



1,789,158 
546.828 
767,770 
474,560 
871.410 
421,261 
191,496 
258,653 



6,528,153 



69,944 

79,038 

982.552 

1.412,143 

1,071,869 

369,884 

984,291 

60,483 

1,497,949 

2,268,911 
1,653,914 
2,605,328 

1,236,636 



+2.4 
-I-.7 



-t-4.0 



+ 3.9 
+3.1 
-1.1 
+ 16.1 
+ .9 
+5.3 
+3.7 



-1.9 
-4.3 



-2.0 
+ .5 

-2.2 
+7.2 
+ .2 



+2.6 



-5.1 
+2.0 
+3.9 
+5.1 
_ 2 
-9.3 
+ 1.0 
+9.1 
+6.0 

+4.0 
- .9 
+3.7 

+ 11.6 



100.0 



54.0 

11.9 
2.9 
6.4 

10.5 
1.4 

12.9 



100.0 



67.2 
20.6 
28.9 
17.8 
32.8 
15.8 
7.2 
9.7 



100.0 



1.1 

1.2 
15.1 
21.6 
16.4 

5.7 

15.1 

.9 

22.9 

34.8 
25.3 
39.9 



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

Data for 1988 were not available for the States of Florida and Kentucky. See "Offense EstimalK 



page 3 for details. 



Table 19. — Type and Value of Property Stolen and Recovered, 1988 

(12,019 agencies; 1988 estimated population 211,619,000] 



Type of property 



Value of property 



Stolen 



Recovered 



Total' 

Currency, notes, etc 

Jewelry and precious metals , , 

Clothing and furs 

Locally stolen motor vehicles 

Office equipment 

Televisions, radios, stereos, etc. 

Firearms 

Household goods 

Consumable goods 

Livestock 

Miscellaneous 



$12,100,793,000 



$4,668,485,000 



692. 

1,061, 
269, 

6,408, 
203, 
977, 
107, 
203, 
78, 
16, 

2,080. 



350,000 
702,000 
871,000 
806,000 
776,000 
718,000 
144,000 
260,000 
943,000 
398,000 
826,000 



38,712,000 

51,371,000 

28,2 1 8,000 

4,254,275,000 

12,668,000 

46,878,000 

10,356,000 

14,040,000 

19,068,000 

3,208,000 

189,691,000 



'All totals and percentages calculated before rounding. 

Data for 1988 were not available for the Slates of Florida and Kentucky. See "Offense Estimation" 



page 3 for details. 



156 



SECTION III 
CRIME INDEX OFFENSES CLEARED 



or UCR purposes, law enforcement agencies clear or 
ve an offense when at least one person is arrested, 
c irged with the commission of the offense, and turned 
c.r to the court for prosecution. Several crimes may be 
cared by the arrest of one person, while the arrest of 
r ny persons may clear only one offense. Law enforce- 
I. Ill agencies may clear a crime by exceptional means 
V en some element beyond law enforcement control 
i;cludes the placing of formal charges against the offend- 
i( Examples of circumstances allowing such clearances are 
t : death of the offender (suicide, justifiably killed by 
J lice or private citizen, etc.); the victim's refusal to 
c operate with prosecution after the offender has been 
i .-ntified; or the denial of extradition because the offender 
( mmitted another crime and is being prosecuted in a 
( 'ferent jurisdiction. In all exceptional clearance cases, 
1 V enforcement must have identified the offender, have 
' ough evidence to support arrest, and know the offender's 
:ation. 

Law enforcement agencies cleared 21 percent of the 

inie Index offenses brought to their attention during 

88. A 46-percent clearance rate for the violent crimes 

llectively was recorded. Among the violent offenses, the 

tes were 70 percent for murder, 52 percent for forcible 

pe. 26 percent for robbery, and 57 percent for aggravated 

sault. Clearances for crimes against persons (murder. 

rcible rape, and aggravated assault) are generally higher 

more intense investigative efforts are often given these 

1 fenses and witnesses are frequently available to identify 

I e perpetrators. 

' The overall property crime clearance rate was 18 per- 
;nt. Thirteen percent of the burglaries. 20 percent of the 
rceny-thefts, and 15 percent of both motor vehicle thefts 
id arsons were cleared during the year. When considering 
le Modified Crime Index total which includes arson, the 
verall clearance rate remained the same, 21 percent. 



Regionally, the highest total Crime Index clearance rates 
were registered in the South and West, both with 22 
percent. In the Midwest and Northeast, the rates were 19 
percent. The South recorded the highest violent crime 
clearance rate, 51 percent. Following were the West with 
49 percent, the Northeast with 42 percent, and the 
Midwest with 38 percent. 

By community type, rural county law enforcement 
agencies showed clearances for 22 percent of the Crime 
Index offenses brought to their attention. Those in cities 
cleared 21 percent, and those in suburban counties, 20 
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 1 8 years of age is cited to appear in juvenile court or 
before other juvenile authorities. Juveniles (persons under 
18 years of age) accounted for 26 percent of the 
United States population, according to 1988 Bureau of the 
Census projected population figures. 

Eighteen percent of the Crime Index offenses cleared by 
law enforcement during 1988 involved only young people 
under age 18. Persons in this age group accounted for 9 
percent of the violent crime clearances and 21 percent of 
those for property crimes. Murder showed the lowest 
percentage of juvenile involvement (6 percent), while the 
highest percentage was shown for arson (39 percent). 

Geographically, the Midwestern States recorded the 
largest percentage of Crime Index offense involvement by 
the under- 18 age group — 23 percent. Juveniles alone were 
the offenders in 19 percent of the clearances in the 
Northeastern and Western States and 14 percent of those 
in the Southern States. 



157 



Crimes Cleared by Arrest 
1988 




Crimes of 
Violence 



□ Not Cleared 
H Cleared 



Murder 



Aggravated 
Assault 



Forcible Rape 



Robbery 





Crimes Against 
Property 



□ Not Cleared 
B Cleared 



Burglary 






Larceny-Theft Motor Vehicle Theft 



158 



»le 20. — Offenses Known and Percent Cleared by Arrest', Population Group, 1988 

i8 estimated population] 



Population group 



Crime 
Index 
total 



Modified 
Crime 
Index 
total' 



Violent 
crime' 



Property 
crime* 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robberv 



Aggra- 
vated 
assault 



Burglar>' 



Larceny- 
theft 



Motor 

vehicle 

theft 



Arson^ 



FAL ALL AGENCIES; 
1 103 agencies; 
}pulation 213.651.000: 

Offenses known 

Percent cleared by arrest 



■ lAL CITIES: 8,6.39 cities; 
opulation 147.5;41.000: 

Offenses known 

Percent cleared by arrest . 



Group I 

cities. 250,000 and over; 
opulation 43,134,000: 

Offenses known 

Percent cleared by arrest . 
ities. 1,000,000 and over; 
opulation 20,303,000: 

Offenses known 

Percent cleared by arrest . 
cities, 500,000 to 999.999; 
opulation 11,648,000: 

OtTenses known 

Percent cleared by arrest . 
cities. 250,000 to 499,999; 
■opulation 11.183.000: 

OtTenses known 

Percent cleared by arrest . 



Group II 

i cities, 100.000 to 249,999; 
reputation 17,086,000: 

OtTenses known 

Percent cleared bv arrest . . 



Group III 

1 cities, 50,000 to 99,999; 
population 20.497,000: 

Offenses known 

Percent cleared by arrest 



2,059,648 
20.7 



12,157.225 
20.7 



1,355,693 

45.7 



0,703,955 

17.5 



18.201 
70.0 



76,203 
52.1 



478,320 
25,6 



782.969 
56.8 



2,741,167 
13.5 



6,680,984 
19,7 



1.281,804 
14,8 



10.056,362 

20.7 



10,134,117 

20.7 



1,167.323 
44.2 



8,889,039 

17,7 



14.628 
69,6 



60,416 

51.7 



442.362 

25.2 



649.917 
55.9 



2,157,230 
13.1 



5,617,743 
20.2 



1,114.066 
13.9 



4,200,530 
18.3 



1,981,398 
16.9 



1,060,269 
18.4 



1,158,863 
20.5 



1,391.432 
21.3 



1,308,685 
21.8 



4,238,804 
18.2 



2,002,759 
16.8 



1,068,287 
18.4 



1,167,758 
20.4 



1,403,212 
21.2 



1,317.444 
21.8 



662.299 
39,8 



388,362 
36.3 



129,442 
40.7 



144,495 
48.6 



146,037 
47.0 



127,607 
47,0 



3,538,231 
14.2 



1,593,036 
12.2 



930,827 
15.3 



1,014,368 
16.5 



1.245,395 
18.2 



1,181,078 
19.1 



9,131 
66.5 



5,242 
63.4 



2.080 
66.5 



1,809 

75.5 



1,772 
71.5 



1,271 
75.1 



28,104 
52.4 



10,682 
50.9 



8,376 
50.7 



9,046 

55.7 



9,245 
49.9 



299,603 

23.5 



186,514 
21.8 



57,499 
23.7 



55.590 



8,131 
48.2 



52,298 
28.6 



39,293 
27.5 



325.461 
53.1 



185,924 
49.2 



61,487 
54.3 



78,050 
61.3 



82,722 
57.8 



78,912 
56.2 



895,322 
11.4 



393,003 
10.4 



234,098 
11.7 



268,221 
12.7 



328,189 
13-4 



290,354 
13,5 



2,013,672 
16.4 



848,390 
14,0 



557,767 
17.2 



607,515 
18.9 



786,309 
20.8 



755,838 
22.4 



629,237 
11.4 



35 1 ,643 
9.9 



138,962 
13.6 



138,632 
13.1 



130,897 
14.9 



134,886 
13,1 



97,577 
15.2 



77,755 
14.1 



38.274 
10,3 



21,361 
5.8 



8,018 
18.1 



8,895 
14.1 



11,780 
13.1 



8,759 
17.1 



159 



Table 20. — Offenses Known and Percent Cleared by .\rrest'. 


Population Group, 


1988— Continued 












Population group 


Crime 
Inde.x 
total 


Modified 
Crime 
Index 
totaF 


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 


























623 cities, 25,000 to 49,999; 
population 21,212,000: 
Offenses known 


1.175,024 
22.6 


1,182,314 
22,6 


95,090 
49.1 


1,079,934 
20.3 


967 

78.8 


6,052 
51,2 


25,759 
28,1 


62,312 
57.0 


248,263 
14,1 


735,881 
22.9 


95,790 
16,6 


7,290 
17,8 


Percent cleared by arrest 


Group V 


























1,524 cities, 10,000 to 24,999; 
population 24,031,000: 


1,094,766 
24.4 


1,101,044 

24.4 


77,209 

52.7 


1,017,557 

■y-i 2 


832 
74.8 


5,119 

52.7 


16,883 
30.8 


54,375 
59,2 


223,023 
15,3 


719,454 
24.4 


75,080 
21,8 


6,27f 
22,- 


Percent cleared by arrest 


Group VI 
























i 


6,016 cities under 10,000; 
population 21,582,000: 


885,925 
23.0 


891,299 
23.0 


59,081 
60.9 


826,844 
20.3 


655 
78.0 


3,765 
57.6 


8,526 
33.9 


46,135 
65.9 


172,079 
16,1 


606,589 
20.8 


48,176 
28.8 


5.37. 
23,1 


Percent cleared by arrest 


Suburban Counties 


























1,087 agencies; 
population 39,408,000; 


1,466,124 
20.0 


1,480,816 
20,0 


141,147 
52.2 


1,324,977 
16.6 


2,149 
67.9 


10,873 
53.0 


32,032 
29.0 


96,093 
59,5 


397,822 
14,3 


790,595 
17,5 


1 36,560 
18,0 


14,69 
18, 


Percent cleared by arrest 


Rural Counties 


























2,577 agencies; 
population 26.701,000: 
Offenses known 


537,162 
21.9 


542,292 
21.9 


47,223 
63.5 


489,939 
17,8 


1,424 
77.1 


4,914 
55,0 


3,926 
41.4 


36,959 
66,5 


186,115 
16,1 


272,646 
17,3 


31,178 
33,2 


5,13 
22. 


Percent cleared by arrest 


Suburban Area' 


























5,748 agencies; 
population 84,021,000: 
Offenses known 


3,478,761 
21.2 


3,506,073 
21.2 


285,749 
51,7 


3,193,012 

18.4 


3,624 
70,5 


20,000 

53.3 


68,223 
28,6 


193,902 
59.3 


798,327 
14,3 


2,089,997 

20,1 


304,688 

17,7 


27,31 
18. 


Percent cleared by arrest 



'Includes offenses cleared by exceptional means. 

^The number of agency reports used in arson clearance rates is less than used in compiling clearance rates for other Crime Index offenses. It is not necessary to report clearances by propertl 
classification to be included in this table. The Modified Crime Index total is the sum of the Crime Index oITenses, including arson. 

'Violent crimes are otTenses of murder, forcible rape, robbery, and aggravated assault. 

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

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

Forcible rape figures furnished by the state-level Uniform Crime Reporting (UCR) Program adm mistered by the Illinois Department of State Police were not in accordance with national VC 
guidelines and were excluded from the forcible rape, violent crime. Crime Index total, and Modified Crime Index total categories. 

Data for 1988 were not available for the Slates of Florida and Kentucky. See "Offense Estimation", page 3 for details. 



160 



tbie 21. — Offenses Known and Percent Cleared by Arrest', 


Geograph 


c Division, 1988 














188 estimated 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^ 


1 TOTAL ALL DIVISIONS 


























' ,303 agencies; population 
213,651,000: 
Offenses tcnown 


12,059,648 
20.7 


12,157,225 
20.7 


1,355,693 

45.7 


10,703,955 
17.5 


18,201 
70.0 


76,203 
52.1 


478,320 
25.6 


782,969 
56.8 


2,741,167 
13.5 


6,680,984 
19.7 


1.281,804 
14.8 


97,577 


Percent cleared by arrest 


15.2 


New England States 


























agencies; population 
.280.000; 
Offenses known 


552.504 
19.4 


556.856 
19.4 


54.939 
45.6 


497.565 
16.5 


475 
67.4 


3.319 

51.2 


17.362 
22,3 


33.783 
56.7 


124.098 
13.9 


293.802 
19,2 


79.665 
10.7 


4,352 


Percent cleared by arrest 


15.1 


Middle Atlantic States 


























34S agencies; population 
M -4.000; 

' MTenses known 


1,871.907 
19.5 


1.889,014 
19,4 


280.695 
41,4 


1.591.212 
15.6 


3,281 
68.7 


10.834 
55.5 


132.006 
25.6 


134.574 
55.1 


367,973 
13.4 


953.858 
18,1 


269,381 
9.7 


17,107 


Percent cleared by arrest 


11.5 


Northeastern Region 


























008 agencies; population 
3,454,000: 

Offenses known 


2.424.411 
19.5 


2.445.870 
19,4 


335.634 
42.1 


2.088.777 
15.8 


3,756 
68,5 


14,153 

54.5 


149,368 

25.3 


168,357 
55.4 


492.071 
13,5 


1,247,660 
18,4 


349.046 
10.0 


21,459 


Percent cleared by arrest 


12.2 


East North Centr-^l States 


























,134 agencies; population 
6,918,000; 

Offenses known 


1,961,723 
17,6 


1.978,807 
17.6 


223,604 
34,3 


1.738.119 
15,5 


2.875 
63.0 


12.549 
42.6 


80.748 
17.1 


127,432 
43.7 


412,662 
10.0 


1,125,461 
17.8 


199.996 
13.8 


17.084 


Percent cleared by arrest 


10.5 


West North Central States 


























,321 agencies; population 
5,629,000; 

Offenses known 


694.821 
21.9 


700.152 
21.9 


55.989 
51.4 


638.832 
19.4 


668 
83.1 


3.962 
53,1 


15.240 
26.2 


36.119 
61,2 


149,275 
13.6 


442,499 
21.2 


47,058 
20.4 


5,331 


Percent cleared by arrest 


15.0 


Midwestern Region 


























3,455 agencies; population 
52.548.000: 

Offenses known 


2.656,544 


2.678.959 
18.7 


279.593 
37.7 


2.376.951 
16.5 


3,543 
66.8 


16,511 
45.1 


95,988 
18.6 


163.551 

47.5 


561,937 
11.0 


1.567,960 
18.7 


247,054 
15.1 


22,415 


Percent cleared by arrest 


18.7 


11.6 


South .\tlantic States 


























2,013 agencies; population 
29.605.000: 

Offenses known 

Percent cleared by arrest 


1,521.435 
23.8 


1,532,878 
23.8 


170,202 
52.9 


1.351,233 
20.1 


2,928 
73.4 


10,405 

57,5 


53.861 
31.0 


103,008 
63.3 


367,118 
17.8 


861,378 
20.8 


122,737 
22.5 


1 1.443 
22.6 


East South Central States 


























518 agencies; population 
8,361.000: 

Offenses known 


399,483 
22.1 


401,919 
22.1 


47.312 
51.8 


352.171 
18.1 


882 
82.0 


3,371 
51.6 


13,388 
29,0 


29,671 
61.3 


110.924 
13.9 


206,663 
20.7 


34,584 
16.3 


2.436 


Percent cleared by arrest 


22.7 



161 



Table 21. — Offenses Known and Percent Cleared by Arrest', Geographic Division, 1988 — Continued 



Geographic division 


Crime 
Index 
total 


Modified 
Crime 
Index 
lotaP 


Violent 
crime' 


Property 
crime** 


Murder 
and non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglar)' 


Larceny- 
theft' 


Motor 

vehicle 

theft 


Arson^ 


West South Central States 


























1,377 agencies; population 
25,785,000: 


1,844.714 
20.0 


1,857.404 
20.0 


160,876 
49.7 


1,683,838 
17,1 


2,893 

72,9 


11,507 
56.2 


53,384 
29.0 


93,092 
60.0 


495,445 
13,6 


1,012,270 
19.0 


176,123 
16,2 


12,690 


Percent cleared by arrest 


20.2 


Southern Region 


























3,908 agencies; population 
63,751,000: 

Offenses known 

Percent cleared by arrest 


3,765.632 
21,7 


3,792,201 
21.7 


378,390 
51.4 


3.387,242 
18.4 


6,703 
74,3 


25.283 
56.2 


120,633 
29.9 


225.771 
61.7 


973,487 
15.2 


2,080,311 
19.9 


333,444 
18.5 


26,569 
21.5 


Mountain States 


























748 agencies; population 
12,593.000: 


781,279 
24.7 


786,366 
24.7 


60.766 
57.1 


720,513 
22.0 


809 
72.8 


4,560 

52.3 


13,536 
29.9 


41,861 
66.1 


167,128 
13.6 


505,631 
24.6 


47,754 
23,6 


5,08- 


Percent cleared by arrest 


21.C 


Pacific States 


























1,184 agencies; population 
36,306,000: 

Offenses known 

Percent cleared by arrest 


2,431,782 
21.2 


2,453,829 
21.1 


301,310 

47.7 


2,130,472 
17.4 


3,390 
66.0 


15,696 
50.6 


98.795 
27.0 


18.3,429 
58.3 


546,544 
12.9 


1,279,422 
20.0 


304,506 
14.8 


22,04' 
12.1 


Western Region 


























1,932 agencies; population 
48,899,000: 


3 2 1 3,06 1 


3,240,195 
22.0 


362,076 
49.3 


2,850,985 
18.6 


4,199 
67.3 


20,256 
51.0 


112.331 

27,3 


225,290 
59.8 


713,672 
13.0 


1,785,053 
21.3 


352,260 
16.0 


27.13' 


Percent cleared by arrest 


22.0 


14.. 



'Includes offenses cleared by exceptional means, 

-The number of agency reports used in arson clearance rates is less than used in compiling clearance rates for other Crime Index offenses. It is not necessary to report clearances by properf 
classification to be mcluded 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 burglar\, larceny-theft, and motor vehicle theft. Data are not included for the property crime of arson. 

Forcible rape figures furnished by the slate-level Uniform Crime Reporting (UCR) Program administered by the llhnois Department of State Police were not in accordance with national UCf 
guidelines and were excluded from the forcible rape, violent crime. Crime Index total, and Modified Crime Index total categories. 

Data for 1988 were not available for the States of Florida and Kentucky. See "'Offense Estimation", page 3 for details. 



162 









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ible 23.— Offenses Cleared by Arrest' of Persons Under 18 Years of Age, 1988 

J88 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^ 


)TAL ALL AGENCIES 
,169 agencies; 
population 203.579,000: 


2,352,858 
18.1 

1,951,861 
18.6 


2,367,5.39 
18.3 

1,962,763 
18.8 


550,846 
8.9 

449,446 
9.2 


1,802,012 
20.9 

1.502,415 
21.4 


11,171 
6.5 

8,672 

6.7 


37,532 
9.3 

29,245 
9.2 


98,971 
10.4 

88,239 
10.7 


403,172 
8.5 

323,290 
8.9 


352,898 
18.4 

267,454 
18.4 


1,272,608 
21.6 

1,092,445 
22.1 


176,506 
21.3 

142,516 
22.0 


14,681 




39.5 


3TAL CITIES: 8,624 cities; 
population 138,685,000: 


10,902 




41.5 


Group I 

1 cities. 250.000 and over; 
population 34.665.000: 




638.377 
14.9 

221.055 
12.8 

180,006 
15.8 

237,316 
16.3 

294,119 
17.3 

285.515 
20.0 

264.567 
21.5 


642.270 
15.1 

222.288 
12.9 

181,412 
16.0 

238,570 
16.4 

295,647 
17.5 

287,012 
20.1 

265.860 
21.6 


198,209 
8.6 

81,662 
8.6 

46,267 
8.5 

70,280 
8.7 

68,095 
8.8 

60,012 
10.3 

46.502 
9.9 


440,168 

17.S 

139,393 
15 3 

133.739 
18.3 

167,036 
195 

226,024 
19.9 

225.503 
22.6 

218,065 
23.9 


4.575 
7.4 

2,082 
8.5 

1,128 
6.9 

1,365 
6.2 

1,248 
6.7 

955 

7.2 

762 
5.5 


12,813 

7.7 

3,750 
7.9 

4,020 

7.4 

5,043 
7.9 

4.578 
8.5 

3,921 
11.2 

3,080 
10.1 


47.290 
10.5 

19,176 
11.7 

1 2,090 
10.0 

16,024 
9.3 

14,870 
9.6 

10.803 
12.6 

7.210 
11.6 


133.531 
8.1 

56.654 
7.6 

29,029 
8.0 

47.848 
8.7 

47.399 
8.6 

44.333 
9.7 

35.450 
9.7 


87,876 
15.2 

28,151 
15.1 

25.556 
14.7 

34.169 

15.7 

43.796 
15.0 

39.217 
18.5 

34.934 
20.5 


292.540 
17.5 

87.013 
14,2 

90.886 
17.4 

114.641 
20.0 

162,892 
20.7 

168,791 
23.7 

167,360 
24.9 


59,752 
23.2 

24.229 
19.1 

17,297 
28.5 

18.226 
23.5 

19.336 
23.8 

17.495 
20.5 

15.771 
21.1 


3.893 




37.7 


cities, 1.000.000 and over; 
population 12.957.000: 
Total clearances 


1,233 
33.4 


5 cities, 500,000 to 999,999; 
population 10,525,000: 


1,406 




43.5 


1 cities, 250,000 to 499,999; 
population 11,183.000: 


1,254 




35.6 


Group 11 

17 cities. 100.000 to 249.999; 
population 16.910.000: 


1,528 




44.2 


Group III 

(CO cities. 50.000 to 99.999; 
population 20.443.000: 


1,497 




41.8 


Group IV 

621 cities, 25,000 to 49,999; 
population 21.145,000: 


1.293 




43.2 



165 



Table 23.— Offenses Cleared by Arrest' of Persons Under 18 Years of Age, 1988— 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- 
thefl 



Motor 

vehicle 

theft 



Group V 

1.518 cities, 10.000 to 24,999; 
population 23,943,000: 

Total clearances 

Percent under 18 



Group VI 

6,014 cities under 10,000; 
population 21,579,000: 

Total clearances 

Percent under 18 



Suburban Counties 

1.046 agencies: 
population 38.596,000: 

Total clearances 

Percent under 18 



Rural Counties 

2,499 agencies; 
population 26,298,000: 

Total clearances 

Percent under 18 



Suburban Area^ 

5,703 agencies; 
population 83,132,000: 

Total clearances 

Percent under 18 



265,727 
22.0 



203,556 
22.1 



285,742 
15.9 



115,255 
14.9 



727,732 
19.2 



267,150 
22.1 



204,824 
22.3 



3.397 
16.1 



116,379 
15.0 



732,848 
19.4 



40,636 
9.9 



35,992 
10.3 



71,967 

7.8 



29,433 
6.0 



145,814 
9.3 



225,091 
24.2 



167,564 
24.7 



213,775 
18.7 



85,822 
17.9 



581,918 

21.7 



621 
4.8 



511 
3.9 



1,424 
6.3 



1,075 
4.9 



2,521 
5.7 



2,685 
10.5 



2,168 
13.0 



5.625 
9.8 



2,662 
9.4 



10,488 
10.6 



5,174 
11.4 



2,892 
10.7 



9,132 
8.1 



1,600 
6.4 



19,303 
10.3 



32,156 
9.8 



30,421 
10.1 



55,786 
7.6 



24,096 
5.6 



113,502 
9.1 



33,941 

22.7 



27,690 
25.6 



55,847 
18.0 



29,597 
19.1 



112,926 
20.1 



174,848 
24.9 



126,014 
25.0 



1 34,046 
19.0 



46,117 
16.9 



415,831 

22.5 



16,302 
19.0 



1 3.860 
20.5 



23.882 
18.2 



10.108 
18.8 



53.161 
19.0 



1.42 
45 



1.2f 
43 



2,6: 

37 



1,M 

25* 



5.1 

41:1 



'Includes offenses cleared by exceptional means. 

'The number of agency reports used in arson clearance rates is less than used in compiling clearance rates for other Crime Index offenses, ll is not necessary to report clearances by detail' 
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 

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

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

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 U( 
guidelines and were excluded from the forcible rape, violent crime. Crime Index total, and Modified Crime Index total categories. 

Data for 1988 were not available for the States of Florida and Kentucky. See "Offense Estimation", page 3 for details. 



166 



SECTION IV 
PERSONS ARRESTED 



Primarily a gauge of law enforcement's response to 
rime, arrest counts also provide definitive data concern- 
ng the age, sex, and race of perpetrators. Arrest practices, 
lolicies, and enforcement emphases vary from place to 
ilace and even within a community from time to time as, 
or example, during a local police campaign against resi- 
lential burglary. While the practices for certain unlawful 
onduct such as drunkenness, disorderly conduct, vagran- 
y, and related violations may differ among agencies, those 
or robbery, burglary, and other serious crime arrests are 
nore likely to be uniform and consistent throughout all 

1 urisdictions. The Program's procedures require that an 
.rrest be counted on each separate occasion a person is 

! aken into custody, notified, or cited. Annual arrest figures 
lo not measure the number of individuals arrested since 
me person may be arrested several times during the year 
' or the same or different offenses. 

' Nationwide, law enforcement agencies made an estimat- 
d 13.8 million arrests in 1988 for all criminal infractions 
■xcept traffic violations. When the arrest volume was 
elated to the total United States population, the rate was 
),366 arrests per 100,000 inhabitants. In cities with 
)opulations of 250,000 or more, the rate was 7,901, the 
lighest recorded. For suburban county agencies overall, 
he arrest rate was 3,881, and for rural county law 
mforcement, it was 3,477 per 100,000 inhabitants. 

Regionally, the arrest rates per 100,000 population 
"anged from 4,753 in the Midwest to 6,043 in the West. 
The Northeast recorded an arrest rate of 5.302 and the 
South, 5,357. 

Due to reporting problems at the state levels, no usable 
arrest data were received for local law enforcement agen- 
:ies in Florida and Kentucky. For Table 24, showing the 
total estimated arrests for the United States, arrest figures 
for these two states were estimated. The states' most 
current, valid annual totals were updated by applying the 
percentage changes of the geographic divisions in which 
the states reside. No Florida or Kentucky figures are 
included in the other tables on persons arrested. 
Arrest Trends 

The total number of arrests for all offenses except traffic 
violations increased 1 percent in 1988 as compared to the 
1987 volume. During the same time period, adult arrests 
rose 2 percent, while those of persons under 18 years of age 
showed virtually no change. When considering only the 
eight Crime Index offenses, increases were recorded for 
arrests of persons of all ages, 3 percent; of adults, 4 percent; 
and of juveniles, 1 percent. Total arrests for the Index's 
violent crimes increased 8 percent and for property crimes, 

2 percent. 



Similar to the national experience, 2-year trends for city 
agencies showed a 1 -percent increase in total arrests. 1988 
over 1987. Suburban county arrests were up 2 percent and 
rural county arrests, 3 percent. 

Over the 5-year period beginning in 1984, total arrests 
for all offenses were up 10 percent with adult arrests up 1 1 
percent and those of persons under 1 8 years of age up 6 
percent. Total Crime Index arrests increased 15 percent, 
those of adults jumped 20 percent, and arrests of juveniles 
under 18 years of age rose 5 percent. During the same 
years, 1984-1988, total violent crime arrests increased 22 
percent, and property crime arrests were up 14 percent. 

Increases in arrests of persons of all ages were recorded 
for the 10 years, 1979-1988. Arrests for all offenses were up 
22 percent; Crime Index arrests, 14 percent; violent crime 
arrests, 25 percent; and property crime arrests, 1 1 percent. 

The 1988 drug abuse violation arrest total was 14 
percent above the 1987 figure and 48 percent higher than 
in 1984. The types of drugs involved in violations resulting 
in arrests during 1988 are shown by geographic region in 
the accompanying table. 

Arrests for Drug Abuse Violations, 1988 

[Percenl dislnbulion] 



Tolal' 

Sale/manufacture: 

Heroin or cocaine and Iheir 

derivat ives 

Marijuana 

Synthetic or inanufactured drugs , , 

Other dangerous nonnarcotic drugs 
Possession; 

Heroin or cocaine and their 
derivatives 

Marijuana 

Synthetic or manufactured drugs . . 

Other dangerous nonnarcotic drugs 



United 
States 
total 



100.0 

27.4 

17.U 

5 6 

8 

4.0 

72.6 



14.9 

28,3 

1.9 

7.4 



North- 
eastern 
States 



100.0 

34.9 

27.5 

5.4 

.8 

1.2 

65.1 



36.7 

24.1 

1.6 

2.6 



Mid- 
western 
Stales 



100.0 
30.6 



6.9 

.6 

14.9 

69.4 

16.1 

42.5 

1.5 

9.2 



South- 
em 
States 



100.0 

26.8 

13.7 
7.0 
1.5 

4.7 
73.2 



24.8 

40.1 

4.0 

4.3 



Western 
States 



100.0 
20.8 

14.0 

4.2 

.3 

2.2 

79.2 



47.4 

18.0 

.6 

13.2 



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

Age 

Five percent of all persons arrested nationally in 1988 
were under the age of 15; 16 percent were under 18; 30 
percent were under 21; and 47 percent were under 25. 
Persons in the under-25 age group accounted for 48 
percent of arrests in the cities, 43 percent of those in the 
suburban counties, and 41 percent of those in the rural 
counties. 

Age distribution figures for persons arrested for Crime 
Index offenses showed 28 percent were under the age of 1 8; 
43 percent, under 2 1 ; and 57 percent, under 25. The under- 
25 age group was also responsible for 45 percent of the 
violent crime arrests and 61 percent of property crime 
arrests in 1988. 



167 



Sex 

Eighty-two percent of the persons arrested in the Nation 
during 1988 were males. They accounted for 79 percent of 
Index crime arrests, 89 percent of those for violent crimes, 
and 76 percent of the property crime arrests. Males were 
most often arrested for driving under the influence, which 
accounted for 14 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 20 percent of all female arrests. Fifty-three 
percent of all female larceny-theft arrestees were under 25 
years of age. 



Two-year trends showed a 1 -percent increase in the 
number of male arrests from 1987 to 1988 and a 2-percent 
rise in female arrests for the same period. Arrests of males 
were up 9 percent and those of females up 1 7 percent for 
the 5-year period from 1984 to 1988. 

Race 

Race distribution figures for the total number of arrests 
in the United States during 1988 showed 69 percent of the 
arrestees were white, 30 percent were black, and the 
remainder were of other races. Whites accounted for 62 
percent of the Index crime arrests, 52 percent of the arrests 
for violent crimes, and 65 percent of those for property 
crimes. 



Table 24.— Total Estimated Arrests', United States, 1988 



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 



13.812,300 



21.890 

38,610 

149.100 

416,300 

463,400 

1,571,200 

208,400 

19,700 



625,900 
2,262,700 



1,600 



901,800 
101,700 



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 



'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. 
*Propeny crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 
'Includes arson. 



366,3( 

15,51 
166,3( 
295,3( 
221,81 
104,11 
106,31 
,155,21 

23,61 

69,9t 
,792,51 
669,61 
818,6> 
760,51 

36,51 y 

,078,9«ij 

14,0 

72,2 

166,9i 



168 



I'able 25. — Arrests, Number and Rate, Regions, 1988 

Rate; Number of arrests per 100.000 inhabitants] 



Offense charged 



United Stales Total 

{9,970 agencies; 

population 188,9:8,000) 



Northeastern States 

(2,189 agencies; 

population 36,693,0001 



Midwestern States 

(2,69.S agencies; 

population 47.136,000) 



Southern States 

(3,41 1 agencies; 

population 58,012,000) 



Western States 

( 1,675 agencies; 

population 47,087,000) 



TOT.4L 

Rate 

.iurder and nonnegligent manslaughter 

Rate 

orcible rape 

Rate 

lobbery 

Rate 

tggravated assault 

Rate 

lurglary 

Rate 

arceny-theft 

Rate 

iotor vehicle theft 

Rate 

ifson 

Rate 

Violent crime' 

Rate 

Properly crime^ 

Rate 

Crime Index total' 

Rate 

)ther assaults 

Rate 

"orgery and counterfeiting 

Rate 

■raud 

Rate '. 

imbezzlement 

Rate 

Jtolen property; buying, receiving, 
possessing 

Rate 

/andalism 

Rate 

iVeapons; carrying, possessing, etc. . . . 

Rate 

Prostitution and commercialized vice 

Rate 

^x offenses (except forcible rape and 
prostitution) 

Rate 

Drug abuse violations 

Rate 

Gambling 

Rate 

Offenses against family and children 

Rate 

Driving under the inlluence 

Rate 

Liquor laws 

Rate 

Drunkenness 

Rate 

Disorderly conduct 

Rate 

Vagrancy 

Rate 

All other offenses (except traffic) .... 

Rate 

Suspicion (not included in totals) 

Rate 

Curfew and loitering law violations . . 

Rate 

Runaways 

Rate 



10.U8.830 
5,366.5 



16.326 

8.6 

28,482 

15.1 

111,344 

58.9 

304.490 

161.2 

331.758 

175.6 

1,162,752 

615.4 

153.016 

81.0 

14,505 

7.7 



460,642 

243.8 

1,662,031 

879 7 



2,122,673 
1,123.5 



687,928 

364.1 

73,465 

38.9 

260.848 

1 38. 1 

11,699 

6.2 

125,092 

66.2 

225,544 

119.4 

163,480 

86.5 

78,731 

41.7 

78,239 

41,4 

850,034 

4499 

18,106 

9.6 

51,035 

27.0 

1,293,516 

684.7 

492,385 

260.6 

606,053 

320.8 

573,580 

303.6 

29,270 

15.5 

2,217,116 

1,173.5 

11,066 

5.9 

55,327 

29.3 

124,709 

66.0 



1.945.371 
5.301.7 



2,415 

6.6 

5,096 

13.9 

36,566 

99.7 

62,911 

171.5 

53,277 

145.2 

187,715 

511.6 

28,300 

77,1 

2,779 

7.6 



106,988 

291.6 

272,071 

741 5 



379,059 
1.033 1 



124.031 

338.0 

9,226 

25.1 

40.695 

110.9 

797 

2.2 

33.537 
91.4 

56.851 
154.9 

24.704 
67.3 

19,419 
52.9 

10,771 

29.4 

224,447 

611.7 

5,573 

15.2 

12,764 

348 

141,686 

386.1 

66.873 

182.2 

10,691 

29.1 

185,173 

504.7 

6,269 

17.1 

571,880 

1,558.5 

1,274 

3,5 

3.609 

9.8 

17,316 

47.2 



2.240.406 
4,753.0 



4.555 

9.7 

7.217 

15.3 

19.006 

40.3 

54.242 

115.1 

61.870 

131.3 

294.960 

625.8 

28.581 

60.6 

3,843 



85,020 

180.4 

389,254 

825.8 



474.274 
1,006,2 



168.848 

358.2 

13.615 

28.9 

36,160 

76.7 

1.166 

2.5 

25.826 
54.8 

65.955 
139.9 

40.257 
85.4 

16.855 
35.8 

19.241 

40.8 

125.879 

267.1 

5.132 

10.9 

12.546 

26.6 

260.391 

552.4 

178,247 

378.2 

60.592 

128.5 

182.490 

387.2 

1,450 

3.1 

492,01 1 

1,043.8 

1,956 

4.1 

23,575 

50.0 

35,896 

76.2 



3,107,720 
5,357.1 



5.280 

9.1 

8,975 

15,5 

25.604 

44.1 

80.604 

138.9 

106.005 

182.7 

336.079 

579.3 

37.556 

64.7 

4.000 

6.9 



120.463 
207,7 

483.640 
833.7 



604.103 
1.041.3 



220.912 

380.8 

31.430 

54.2 

161.759 

278.8 

6.603 

11.4 

27.237 

47.0 
48.633 

83.8 
54.297 

93.6 
11,307 

19.5 

18,788 

32.4 

218.195 

376.1 

4,392 

7.6 

19,196 

33,1 

415,875 

716.9 

112,653 

194.2 

354,269 

610,7 

138,710 

239.1 

1,974 

3.4 

610,712 

1,052.7 

7,565 

13.0 

7.299 

12.6 

39,376 

67.9 



2,845,333 
6,042.7 



4,076 

8,7 

7,194 

15.3 

30,168 

64,1 

106,733 

226,7 

110,606 

234.9 

343,998 

730,6 

58,579 

124,4 

3,883 

8.2 



148,171 

314,7 

517,066 

1,098.1 



665.237 
1,412.8 



174,137 

369.8 

19,194 

40.8 

22,234 

47,2 

3,133 

6.7 

38,492 
81.7 

54,105 
114.9 

44.222 
93.9 

31,150 
66.2 

29.439 

62.5 

281.513 

597.9 

3.009 

6.4 

6,529 

13.9 

475,564 

1. 01 0.0 

134.612 

285.9 

180,501 

383.3 

67,207 

142.7 

19.577 

41.6 

542.513 

1.152.1 

271 

.6 

20.844 

44.3 

32,121 

68,2 



'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 
•Property crimes are offenses of burglary, larceny -theft, motor vehicle theft, and arson. 
'Includes arson. Population figures were rounded to the nearest thousand. .All rates were calculated before rounding. 



169 



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171 



Table 27.— Total Arrest Trends, 1979-1988 

(6,808 agencies; 1988 estimated population 160,451,000] 



Offense charged 



Number of persons arrested 



Total all ages 



1979 



Percent 
change 



Under 18 years of age 



1979 



Percent 
change 



18 years of age and over 



1979 



1988 



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 totaP 

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 



7,249,883 



14,077 
21,916 
101,590 
192,660 
348,084 
823,614 
113,556 
13,521 



330,243 
1,298,775 



1,629,018 



354,158 
53,524 

187,525 

6,576 

83,002 

182,897 

119,020 

70,233 



8,834,833 



14,632 

25,059 

101,976 

270,981 

288.364 

1,010,614 

136.424 

12.471 



412.648 
1.447,873 



1,860,521 



601,864 
63.122 
235.507 
10.329 
110.356 
195.678 
144.568 

74.289 



47,927 


69.231 


394.632 


749,468 


41,888 


16.579 


39,379 


42.530 


950,877 


1.095,426 


278,410 


410.166 


796,970 


528.859 


550,641 


503.459 


31,683 


28.201 


1,272,154 


1.940.863 


9,679 


4.427 


44,838 


47,846 


114,531 


105,971 



+21,9 



1,599,571 



1,410,860 



5,650,312 



7.423,973 



+3.9 
+ 14.3 
+.4 
+40.7 
-17.2 
+22.7 
+20.1 
-7.8 



1,386 

3,483 

32,557 

29,343 

169,151 

331,045 

55,110 

6,640 



1,610 

3,687 

22,464 

33,992 

95,566 

301,935 

53,936 

5,307 



+ 16.2 

+5.9 

-31.0 

+ 15.8 

-43.5 

-8.8 

-2.1 

-20.1 



12.691 

18.433 

69.033 

163.317 

178,933 

492,569 

58,446 

6,881 



13,022 

21,372 

79,512 

236,989 

192,798 

708,679 

82,488 

7,164 



+25.0 
+ 11.5 



66.769 
561.946 



61.753 
456,744 



-7.5 
-18.7 



263,474 
736,829 



350,895 
991,129 



628,715 



518.497 



-17.5 



1 .000..303 



1,342,024 



+69.9 
+ 17.9 
+25.6 
+57.1 
+33.0 
+7.0 
+21.5 

+ 5.8 

+44.5 
+89.9 
•60,4 
+8.0 
+ 15.2 

+47.3 

-33.6 

-8.6 

-11.0 

+52.6 

-54.3 

+6.7 

-7.5 



65.224 


86,077 


7.586 


5,260 


7,124 


11,629 


799 


893 


28,211 


27,454 


97,272 


77,003 


20,167 


24,079 



:,706 



85,114 
1,866 
1,827 

22,985 

98,447 

33,304 

95,496 

4,149 

230,382 

2,835 

44,838 

114,531 



1,313 

10.969 

66,689 

673 

2,021 

14,609 

101,523 

15,072 

78,476 

2,222 

212,584 

1,646 

47,846 

105,971 



+32.0 
-30.7 

+63.2 

+ 11.8 

-2.7 

-20.8 

+ 19.4 

-51.5 

+24.3 
-21.6 
-63.9 

+ 10.6 
-36.4 

+3.1 
-54.7 
-17.8 
-46.4 
-7.7 
-41.9 
+6.7 
-7.5 



288,934 
45,938 

180,401 

5,777 

54,791 

85.625 

98,853 

67.527 

39,099 

309,5 1 8 

40,022 

37,552 

927,892 

179,963 

763,666 

455,145 

27,534 

1,041,772 

6,844 



515,787 
57,862 

223,878 

9,436 

82,902 

118,675 

120,489 

72,976 

58,262 

682,779 

1 5,906 

40,509 

1,080.817 

308,643 

513,787 

424,983 

25,979 

1,728,279 

2,781 



+7f 
+2f 

+2' 

+6; 

+5! 
+3! 
+21 



'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. 



172 



able 28.— Total Arrest Trends, Sex, 1979-1988 

0,808 agencies; 1988 estimated population 160.451.000] 



Offense charged 



Males 



Total 



1979 



1988 



Percent 
change 



Under 18 



1979 



1988 



Percent 
change 



Females 



Total 



1979 



1988 



Percent 
change 



Under 18 



1979 



1988 



Percent 
change 



TOTAL 

Murder and nonnegligent manslaughter 

■'orcible rape 

lobber>' 

aggravated assault 

ilurglary 

jrceny-theft 

4otor vehicle theft 

kTSon 

Violent crime' 

Property crime' 

Crime Index total' 

)ther assaults 

"orger>' and counterfeiting 

"raud 

imbezzlement 

itolen property; buying, receiving, 

possessing 

/andalism 

A'eapons; carrying, possessing, etc. . . . 

Prostitution and commercialized vice . 
jex offenses (except forcible rape and 

prostitution) 

Drug abuse violations 

Gambling 

Offenses against family and children 
Drivmg under the influence 

Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) 

Suspicion (not included in totals) 

Curfew and loitering law violations . . . 
Runaways 



6,097,654 



7,251,407 



+18.9 



1,271,573 



1,100,491 



-13.5 



1,152,229 



1 .583.426 



+37.4 



327,998 



310,369 



12,212 

21,755 

94.031 

168,911 

325,355 

572,507 

103,290 

11.987 



12.865 

24,768 

93.241 

234,590 

263,638 

701.437 

122,698 

10.825 



+5.3 
+13.8 
-.8 
+38.9 
-19.0 
+22.5 
+ 18.8 
-9.7 



1,247 

3.444 

30,357 

25,210 

157.987 

241.282 

49.399 

6.016 



1.498 

3.616 

20.766 

28,836 

88,328 

221,892 

48,408 

4,807 



+20.1 

+5.0 

-31.6 

+ 14.4 

-44.1 

-8.0 

-2.0 

-20.1 



1,865 

161 

7.559 

23,749 

22,729 

251,107 

10,266 

1.534 



1.767 

291 

8.735 

36.391 

24,726 

309,177 

13,726 

1.646 



-5.3 
+80.7 
+ 15.6 
+53.2 

+8.8 
+23.1 
+33.7 

+7.3 



139 

39 

2,200 

4,133 

11,164 

89.763 

5,711 

624 



112 

71 

1.698 

5,156 

7,238 

80,043 

5,528 

500 



296,909 
1.013,139 



365,464 
1.098.598 



+23.1 
+8.4 



60,258 
454.684 



54,716 
363.435 



-9.2 
-20.1 



33.334 
285.636 



47,184 
349.275 



+41.5 
+22.3 



6.511 
107,262 



7,037 
93,309 



1.310.048 



1.464.062 



+ 11.8 



514.942 



418.151 



-18.8 



318.970 



396.459 



+24.3 



113.773 



100.346 



305,844 

36,970 

111,343 

4.906 

74.058 
167,229 
110,450 

22,687 

44,412 

341,130 

38,075 

35,711 

865,964 

237,507 

738,076 

462,663 

23,713 

1,085,803 

8,288 

33,632 

47.433 



509.516 

41.679 

129.471 

6.344 

97,284 
174.192 
133,333 

23,051 

64,118 

632,282 

13,970 

34,975 

965,956 

336,353 

479,411 

410.939 

24,918 

1,627,843 

3,692 

34,976 

46,734 



+66.6 

+ 12.7 
+ 16.3 
+29.3 

+31.4 

+4.2 

+20.7 

+ 1.6 

+44.4 
+85.3 
-63.3 
-2.1 
+ 11.5 

+41.6 
-35.0 
-11.2 
+5.1 

+49.9 

-55.5 

+4.0 

-1.5 



51,910 

5,379 

5,269 

626 

25.677 
89,610 
19,014 

995 

8,164 

71,366 

1,793 

1,174 

20,641 

76.969 
28,760 
79,276 

3,368 
185,575 

2,319 
33,632 
47,433 



66,111 

3.562 

8.747 

522 

24,812 
70,233 
22,472 

460 

10,250 

58,283 

635 

1,285 

12,668 

74,287 
12,712 
63,238 

1,856 
168,497 

1,337 
34,976 
46,734 



+27.4 
-33.8 

+66.0 
-16.6 

-3.4 
-21.6 



-53.8 

+25.6 
-18.3 
-64.6 
+9.5 
-38.6 

-3.5 
-55.8 
-20.2 
-44.9 

-9.2 
-42.3 
+4.0 

•1.5 



48.314 

16.554 

76.182 

1,670 

8.944 
15.668 
8.570 

47,546 

3,515 

53.502 

3,813 

3,668 

84.913 

40,903 
58,894 
87,978 

7.970 
186.351 

1.391 
11.206 
67,098 



92,348 

21.443 

106,036 

3,985 

13,072 
21,486 
11.235 

51.238 

5,113 

117.186 

2,609 

7,555 
129.470 

73.813 

49,448 

92,520 

3,283 

313,020 

735 

12,870 

59,237 



+91.1 

+29.5 

+39.2 

+ 138.6 

+46.2 
+37.1 
+31.1 

+7.8 

+45.5 

+ 119.0 

-31.6 

+ 106.0 

+52.5 

+80.5 
-16.0 
+5.2 
-58.8 

+68.0 
-47.2 

+ 14.8 
-11.7 



13,314 

2,207 

1,855 

173 

2.534 
7.662 
1.153 

1.711 

664 

13,748 

73 

653 

2.344 

21,478 
4,544 
16.220 

781 
44,807 

516 
11,206 
67,098 



19,966 

1,698 

2,882 

371 

2,642 
6,770 
1,607 

853 

719 

8,406 

38 

736 
1,941 

27,236 
2,360 
15,238 

366 
44,087 

309 
12,870 
59,237 



-5.4 



-19.4 
+82.1 

-22.8 
+24.8 

-35.2 

-10.8 
-3.2 

-19.9 



+8.1 
-13.0 



-11.8 



+50.0 
-23.1 

+55.4 
+ 114.5 

+4.3 
-11.6 
+39.4 

-50.1 

+8.3 
-38.9 
-47.9 

+12.7 
-17.2 

+26.8 
-48.1 
•6.1 
-53.1 
-1.6 
-40.1 
+ 14.8 
-11.7 



'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 
'Property crimes are offenses of burglary. Iarceny-thef\. motor vehicle theft, and arson. 
Mncludes arson. 



173 



Table 29.— Total Arrest Trends, 1984-1988 

[7.875 agencies; 1988 estimated population 167,283.000] 



Offense charged 



Number of persons arrested 



Total all ages 



1984 



1988 



Percent 
change 



Under 18 years of age 



1984 



1988 



Percent 
change 



18 years of age and over 



1984 



1988 



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 

Drivmg 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 — 



8,293,717 



14,148 

25,005 

101,061 

210,686 

305,470 

922,009 

87,932 

13,283 



350,900 
1,328,694 



1,679,594 



430,996 
60,654 

212,768 

6,837 

89,529 

183,348 

130.033 

98,063 



9,151,693 



15,262 

25,720 

105.185 

280,677 

303,777 

1,048,814 

143.137 

13,025 



426,844 
1.508,753 



1,935,597 



618,002 
66,509 
236,565 
9,951 
113,689 
200.285 
149,785 

75,389 



72,192 


71,591 


527,388 


778,375 


28.747 


17.100 


36,631 


42,568 


1,285,982 


1,141,387 


343,064 


420,793 


742,100 


570,676 


510,718 


519,475 


28,484 


27,238 


1,692,901 


2,000,290 


14,262 


10,288 


40,321 


47,443 


93,367 


108.985 



+ 10.3 



1,379,697 



1,461,104 



+5.9 



6,914,020 



7,690,589 



+7.9 

+2.9 

+4.1 

+33.2 

-.6 

+ 13.8 

+62.8 

-1.9 



1.117 

3,802 

25,935 

27,667 

114,645 

305,608 

31,066 

5,701 



1,683 

3,716 

23,066 

35.309 

101,141 

314,754 

57,010 

5,535 



+50.7 

-2.3 

-11.1 

+27.6 

-11.8 

+3.0 

+83.5 

-2.9 



13,031 
21,203 
75,126 
183,019 
190,825 
616,401 
56,866 
7,582 



13,579 

22,004 

82,119 

245,368 

202,636 

734,060 

86,127 

7,490 



+21.6 
+ 13.6 



58,521 
457,020 



63,774 
478,440 



+9.0 
+4.7 



292,379 
871,674 



363.070 
1,030,313 



+ 15.2 



515.541 



542,214 



1.164.053 



1.393.383 



+43.4 

+9.7 

+ 11.2 

+45.5 

+27.0 

+9.2 

+ 15,2 

-23.1 



+47.6 
-40.5 

+ 16.2 
-11.2 

+22,7 

-23.1 

+ 1.7 

-4,4 

+ 18.2 
-27.9 

+ 17.7 

+ 16.7 



67,811 


87,362 


6,027 


5.637 


17,126 


11,680 


425 


800 


21,571 


28,226 


80,191 


79,492 


20,571 


24,899 



2,320 

12,340 

63.035 

873 

1,447 

18,185 

88,776 
20,375 
72,450 

1,942 
235,003 

1,955 
40,321 
93,367 



1,368 

11,453 

69,543 

755 

2,000 

15,471 

105,280 

16,709 

78,463 

2,219 

221,105 

1,871 

47,443 

108,985 



+28.8 
-6.5 
-31.8 
+88.2 
+.30.9 
-.9 
+21.0 

-41.0 

-7.2 
+ 10.3 

-13.5 
+38.2 

-14.9 

+ 18,6 

-18.0 

+8.3 

+ 14.3 

-5.9 

-4.3 

+ 17.7 

+ 16.7 



363,185 
54,627 

195,642 

6,412 

67,958 

103,157 

109,462 

95,743 

59.852 

464.353 

27,874 

35,184 

1,267,797 

254,288 

721,725 

438.268 

26.542 

1,457,898 

12,307 



530,640 
60,872 

224,885 

9,151 

85,463 

120,793 

124,886 

74,021 

60,138 

708,832 

16,345 

40,568 

1,125,916 

315,513 

553,967 

441,012 

25,019 

1.779,185 

8,417 



+ 19.' 



+46. 

+ 11.' 
+ 14.' 
+42.' 
+25.1 
+ 17, 
+ 14. 

-22.' 



'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 



Bble 30.— Total Arrest Trends, Sex, 1984-1988 
,875 agencies; 1988 estimaled population 167,283,000) 



Offense charged 



Males 



Total 



Percent 
change 



Under 18 



1984 



1988 



Percent 

change 



Females 



Total 



1984 



1988 



Percent 
change 



Under 18 



1984 



1988 



Percent 
change 



TOTAL 



iurder and nonnegligent manslaughter 

Drcible rape 

obbery 

.ggravated assault 

urglary 

arceny — theft 

i(otor vehicle theft 

rson 

Violent crime' 

Property crime^ 



Crime Index total' 



'ther assaults 

orgery and counterfeiting 

raud 

mbezzlement 

tolen property; buying, receiving, 

possessing 

andalism 

'capons; carrying, possessing, etc. 

'restitution and commercialized vice 
ex offenses (except forcible rape and 

prostitution) 

)rug abuse violations 

iamblmg 

)ffenses against family and children 
)nving under the influence 

.iquor laws 

Drunkenness 

disorderly conduct 

/agrancy 

\\\ other offenses (except traffic) . . . 
Suspicion (not included in totals) ... 
rurfew and loitering law violations . 
Runaways 



6.898,207 



7.521.803 



+9.0 



1.081.745 



1,141,670 



+5.5 



1.395,510 



,629,890 



+ 16.8 



297,952 



319,434 



12.337 

24,780 

93,694 

182,231 

282,098 

647.656 

79.818 

11,670 



13.439 

25.427 

96.301 

242.999 

278.007 

729.502 

128.841 

11.328 



+8.9 

+2.6 

+2.8 

+33.3 

-1.5 

+ 12.6 

+61.4 

-2.9 



1.025 

3,750 

24,225 

23,172 

106,297 

224,777 

27,586 

5,205 



1,576 

3.654 

21.356 

30,043 

93,581 

231,546 

51,197 

5,018 



+53.8 

-2.6 

-11.8 

+29.7 

-12.0 

+3.0 

+85.6 

-3.6 



1.811 

225 

7.367 

28.455 

23,372 

274,353 

8,114 

1,613 



1,823 

293 

8,884 

37,678 

25,770 

319,312 

14,296 

1.697 



+.7 
+ 30.2 
+20.6 
+ 32.4 
+ 10.3 
+ 16.4 
+76.2 
+ 5.2 



92 

52 

1.710 

4,495 

8,348 

80,831 

3,480 

496 



107 

62 

1,710 

5,266 

7,560 

83,208 

5,813 

517 



313,042 
1,021.242 



378,166 
1.147,678 



+20.8 
+ 12.4 



52.172 
363,865 



56,629 
381,342 



+8.5 
+4.8 



37,858 
307,452 



48,678 
361,075 



+28.6 

+ 17.4 



6,349 
93.155 



7.145 
97,098 



1,334,284 



1,525,844 



416.037 



437,971 



+ 5.3 



.345,310 



409,753 



+ 18.7 



99,504 



104,243 



366,651 

40.317 

124.372 

4.402 

79.057 
165,000 
120.573 

29.299 

67.148 

453.867 

24.942 

31.983 

1,136,909 

287,301 

678,985 

424,761 

25,583 

1,433,840 

12,452 

29,340 

39,593 



523,418 

44,050 

1 30.039 

6.035 

100.210 
178.382 
138.182 

23.794 

66.215 

657.298 

14.441 

35.490 

1 ,006.760 

344.302 

517.875 

424.944 

24.005 

1.677,509 

8,699 

34,708 

48,302 



+42.8 
+9.3 
+4.6 

+37.1 

+26.8 

+8.1 

+ 14.6 

-18.8 

-1.4 
+44.8 

-42.1 
+ 11.0 

-11.4 

+ 19.8 
-23.7 
(4) 
-6.2 
+ 17.0 
-30.1 
+ 18.3 
+22.0 



52.273 

4.181 

13.298 

288 

19,458 
73,351 
19,326 

706 

11.560 

53,656 

804 

961 

15,650 

65,841 
17.142 
59,572 

1,583 
187,125 

1,576 
29,340 
39.593 



67,230 

3,817 

8.758 

456 

25.476 
72.502 
23.244 

490 

10,650 

60.924 

713 

1.289 

13.441 

77,084 
14.129 
63.343 

1,867 
175,276 

1,514 
34,708 
48.302 



+28.6 

•8.7 

-34.1 

+58.3 

+30.9 

-1.2 

+20.3 

-30.6 

-7.9 
+ 13.5 

-11.3 
+34.1 

-14.1 

+ 17.1 

-17.6 

+6.3 

+ 17.9 

-6.3 

-3.9 

+ 18.3 

+ 22.0 



64.345 

20.337 

88.396 

2,435 

10.472 
18,348 
9.460 

68.764 

5.044 

73.521 

3.805 

4,648 

149.073 

55,763 

63,115 

85,957 

2,901 

259,061 

1,810 

10,981 

53,774 



94,584 

22,459 

106,526 

3,916 

13,479 
21,903 
11.603 

51,595 

5,376 

121.077 

2.659 

7.078 

134.627 

76.491 

52,801 

94,531 

3,233 

322,781 

1,589 

12.735 

60.683 



+47.0 
+ 10.4 
+20.5 
+60.8 

+28.7 
+ 19.4 

+22.7 

-25.0 

+6.6 
+64.7 
-.30.1 

+52.3 
-9.7 

+37.2 
-16.3 
+ 10.0 
+ 11.4 
+24.6 
-12.2 
+ 16.0 
+ 12,8 



15.538 

1,846 

3.828 

137 

2.113 
6.840 
1.245 

1.614 

780 

9.379 

69 

486 
2.535 

22.935 
3.233 
12.878 

359 
47.878 

379 
10,981 
53,774 



20,132 

1,820 

2,922 

344 

2,750 
6,990 
1,655 

878 

803 

8,619 

42 

711 
2,030 

28,196 
2,580 
15,120 

352 
45,829 

357 
12,735 
60,683 



+7.2 



+ 16.3 
+ 19.2 

+ 17.2 

-9.4 

+2.9 

+67.0 

+4.2 



+ 12.5 
+4.2 



+4.8 



+29.6 

-1.4 

-23.7 

+ 151.1 

+30.1 

+2.2 
+32.9 

-45.6 

+2.9 

-8.1 

-39.1 

+46.3 

-19.9 

+22.9 
-20.2 

+ 17.4 
-1.9 
-4.3 
-5.8 

+ 16.0 

+ 12.8 



'Violent crime are offenses of murder, forcible rape, robbery, and aggravated assault. 
'Properly crime are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 
'Includes arson. 
*Less than one-tenth of 1 percent. 



175 



Table 31.— Total Arrest Trends, 1987-1988 

[8,814 agencies; 1988 estimated population 174,342,000] 



Offense charged 



Number of persons arrested 



Total all ages 



1987 



Percent 
change 



Under 15 years of age 



1987 



Percent 
change 



Under 1 8 years of age 



1987 



Percent 
change 



18 years of age and over 



Percent 
change 



TOTAL 

Murder and nonnegligenl 

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 



9,307,541 



9,428,894 



+1.3 



475,959 



490,030 



+3.0 



1,521,314 



1,521,249 



(I) 



7,786,227 



7,907,545 



14,527 

26,395 

102,273 

255,203 

311,705 

1,069,580 

123,293 

12,830 



15,311 

26,320 

105.092 

282,490 

309,769 

1,083,020 

145,393 

13,370 



+5.4 

-.3 

+2.8 

+ 10.7 

-.6 

+ 1.3 

+ 17.9 

+4.2 



176 

1,377 

5,982 

9,211 

39,212 

139,774 

11,899 

3,376 



194 

1,276 

6,170 

10,481 

39,785 

142,488 

15,090 

3,831 



+ 10.2 
-7.3 
+3.1 

+ 13.8 
+ 1.5 
+ 1.9 

+26.8 

+ 13.5 



1,403 

4,049 

22,663 

31,669 

108,686 

332,931 

48,965 

5,344 



1,653 

3,829 

23,108 

35,825 

104,381 

327,123 

58,267 

5,768 



+ 17.8 
-5,4 
+2.0 
+ 13.1 
-4.0 
-1.7 
+ 19.0 
+7,9 



13,124 

22,346 

79,610 

223,534 

203,019 

736,649 

74,328 

7,486 



13,658 

22,491 

81,984 

246,665 

205,388 

755,897 

87,126 

7,602 



398,398 
1,517,408 



429,213 
1,551,552 



+7.7 
+2.3 



16,746 
194,261 



18,121 
201,194 



+8.2 
+3.6 



59,784 
495,926 



64,415 
495,539 



+7.7 
-.1 



338,614 
1,021,482 



364,798 
1,056,013 



1,915,806 



1,980,765 



+3.4 



211,007 



219,315 



+3.9 



555,710 



559,954 



1,360,096 



1,420,811 



599,765 

67,161 

250,327 

9,804 

104,630 
207.024 
144,084 



83,675 

73,894 

697,636 

20,406 

42,262 
1,241,589 

443,206 

617,131 

527,939 

31,225 

2,060,587 

10,079 

53,609 

115.781 



642,881 
67,697 

242,662 
10,771 

115,383 
210,992 
153,170 



77,164 

72,354 

794,756 

17,235 

43,936 
1,192,103 

455,907 

569,889 

526,760 

28,777 

2,058,129 

10,670 

51,784 

115,779 



+7.2 
+.8 
-3.1 

+9.9 

+ 10.3 
+ 1.9 
+6.3 



-7.8 

-2.1 
+ 13.9 
-15.5 

+4.0 
-4.0 

+2.9 

-7.7 

-.2 

-7.8 

-.1 

+5.9 

-3.4 

(1) 



30,421 

920 

7,878 

114 

7,001 

41,120 

5,681 



154 

5,512 

8,547 

113 

748 
321 

8,235 

1,987 

22,236 

513 

62,126 

671 

14,236 

47,089 



33,959 

889 

4,662 

109 

7,342 

41,113 

6,354 



144 

5,833 

9,405 

129 

648 
330 

7,999 

1,794 

23,611 

634 

63,957 

653 

14,451 

47,352 



+ 11.6 

-3.4 

-40.8 

-4.4 

+4.9 

(1) 

+ 11.8 



-6.5 

+5.8 
+ 10.0 

+ 14.2 

-13.4 
+2.8 

-2.9 

-9.7 

+6.2 

+23.6 

+2.9 

-2.7 
+ 1.5 

+.6 



85,303 

6,007 

17,725 

755 

26,330 
84,675 
22,537 



1,720 

11,749 

66,077 

793 

2,311 

17,775 

117,002 

18,407 

78,762 

2,316 

235,970 

2,136 

53,609 

115,781 



91,567 

5,713 

11,742 

911 

28,945 
84,367 
25,185 



1,384 

11,748 

71,929 

746 

2,114 
16,231 

113,461 

16,788 

82,277 

2,381 

226,243 

2,027 

51,784 

115,779 



+ 7.3 

-4.9 

-33.8 

+20.7 

+9.9 

-.4 

+ 11.7 



-19.5 

(1) 
+8.9 
-5.9 

-8.5 
-8.7 

-3.0 
-8.8 

+4.5 
+2.8 
-4.1 
-5.1 
-3.4 
(1) 



514,462 

61,154 

232,602 

9,049 

78,300 
122,349 
121,547 



81,955 

62,145 

631,559 

19,613 

39,951 
1,223,814 

326,204 

598,724 

449,177 

28,909 

1,824,617 

7,943 



551,314 

61,984 

230,920 

9,860 

86,438 
126,625 
127,985 



75,780 

60,606 

722,827 
16,489 

41,822 
1,175,872 

342,446 

553,101 

444,483 

26,396 

1,831,886 

8,643 



+7.2 

+ 1.4 

-.7 

+9.C 



'Less than one-tenth of one 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. 



176 



Ible 32.— Total Arrest Trends, Sex, 1987-1988 

SI4 agencies; 1988 estimated population 174,342,0001 



OiTense charged 



Males 



Total 



1987 



1988 



Percent 
change 



Under 18 



1987 



1988 



Percent 
change 



Females 



Total 



1987 



1988 



Percent 
change 



Under 18 



1987 



1988 



Percent 
change 



TOTAL 

irder and nonnegligent 

nanslaughter 

rcible rape 

'bbery 

igravated assault 

rglary 

rceny-theft 

Mor vehicle theft 

■son 

Violent crime' 

Property crime^ 

ime Index totaP 

.her assaults 

I irgery and counterfeiting 

aud 

nbezzlement 

olen property; buying, receiving, 

possessing 

indalism 

capons; carrying, possessing, etc. 

"ostitution and commercialized 

vice 

:x offenses (except forcible rape 

and prostitution) 

rug abuse violations 

ambling 

ffenses against family and 

children 

'riving under the influence . . 

iquor laws 

irunkenness 

(isorderly conduct 

agrancy 

.11 other offenses (except traffic) 
uspicion (not included in totals) 
-urfew and loitering law violations 
Runaways 



7,654,675 



7,746,590 



+ 1.2 



1,178,002 



1,187,456 



+.8 



1.652,866 



1,682,304 



+1.8 



343,312 



333,793 



12,747 

26,078 

93,815 

221,746 

286,059 

735,812 

111.277 

11,119 



13,452 

26,003 

96,133 

245,096 

283,562 

751,709 

130,835 

11,611 



+5.5 

-.3 

+2.5 

+ 10.5 

-.9 

+2.2 

+ 17.6 

+4.4 



1,288 

3,951 

21,066 

26.907 

100,492 

242.155 

43.731 

4,810 



1,540 

3,751 

21,372 

30,443 

96,584 

240,617 

52,304 

5.223 



+ 19.6 

-5.1 

+ 1.5 

+ 13-1 

-3.9 

-.6 

+ 19.6 

+8.6 



1,780 

317 

8,458 

33,457 

25,646 

333,768 

12,016 

1,711 



1,859 

317 

8,959 

37,394 

26,207 

331.311 

14,558 

1,759 



+4.4 



+5.9 
+ 11.8 

+2.2 

-.7 

+21.2 

+2.8 



115 

98 

1,597 

4.762 

8,194 

90,776 

5,234 

534 



113 

78 

1,736 

5,382 

7.797 

86.506 

5.963 

545 



354,386 
1,144,267 



380,684 
1,177.717 



+7.4 
+2.9 



53,212 
391,188 



57,106 
394,728 



+7.3 
+.9 



44,012 
373,141 



48,529 
373.835 



+ 10.3 

+.2 



6,572 
104.738 



7,309 
100,811 



1,498,653 



1,558,401 



+4.0 



444,400 



451,834 



+ 1.7 



417,153 



422,364 



+ 1.2 



111,310 



108,120 



509,079 

43,951 

141,032 

6,054 

92,380 
185,010 
133,223 



26,531 

68,410 

591,827 

17,645 

34,683 
1,097,252 

364.233 

561,230 

428,639 

27,841 

1,738,552 

8,676 

38,844 

49,606 



544,799 

44,675 

133,094 

6,674 

101,718 
188,069 
141,399 



24,293 

67,065 

670,643 

14,576 

35,975 
1,050,650 

373,274 

517,125 

431,364 

25,411 

1,727,975 

9,042 

37,872 

51,538 



+7.0 

+ 1.6 

-5.6 

+ 10.2 

+ 10.1 
+ 1.7 
+6.1 



-8.4 

-2.0 
+ 13.3 
-17.4 

+3.7 
-4.2 

+2.5 

-7.9 

+.6 

-8.7 

-.6 

+4.2 
-2.5 

+3.9 



65,774 
4,009 
13.149 

473 

23,868 
77,179 
21.008 



526 

10,987 

57,326 

753 

1,432 
15,354 

85,358 
15,448 
63,846 

1,910 
186,752 

1,758 
38,844 
49,606 



70,534 

3,853 

8,813 

527 

26,143 
76,971 
23,576 



495 

10,939 

62,872 

703 

1,353 
14,064 

83,046 
14,164 
66,649 

1,998 
179,512 

1,654 
37,872 
51,538 



+ 7.2 

-3.9 

-33.0 

+ 11.4 

+9.5 

-.3 

+ 12.2 



-5.9 

-.4 
+9.7 
-6.6 

-5.5 
-8.4 

-2.7 
-8.3 
+4.4 
+4.6 
-3.9 
-5.9 
-2.5 
+3.9 



90,686 

23,210 

109,295 

3,750 

12,250 
22,014 
10.861 



57.144 

5,484 

105,809 

2,761 

7,579 
144,337 

78,973 

55.101 

99,300 

3,384 

322,035 

1,403 

14,765 

66,175 



98,082 

23,022 

109,568 

4,097 

13,665 
22,923 
11,771 



52,871 

5,289 

124,113 

2,659 

7,961 
141.453 

82,633 

52,764 

95,396 

3,366 

330,154 

1,628 

13,912 

64,241 



+8.2 
-.8 

+.2 
+9.3 

+ 11.6 
+4.1 
+8.4 



-7.5 

-3.6 

fl7.3 
-3.7 

+5.0 
-2.0 

+4.6 
-5.6 
-3.9 
-.5 
+2.5 
+ 16.0 
-5.8 
-2,9 



19.529 
1.998 

4.576 
282 

2,462 
7,496 
1,529 



1,194 

762 

8,751 

40 

879 
2,421 

31,644 
2,959 
14,916 

406 
49,218 

378 
14,765 
66,175 



21,033 

1,860 

2,929 

384 

2,802 
7,396 
1,609 



889 

809 

9,057 

43 

761 
2,167 

30,415 
2,624 
15,628 

383 
46,731 

373 
13,912 
64,241 



-2.8 



-1.7 

-20.4 

+8.7 

+ 13.0 

-4.8 

-4.7 

+ 13.9 

+2.1 



+ 11.2 
-3.7 



-2.9 



+7,7 

-6.9 

-36.0 

+36.2 

+ 13.8 
-1.3 

+5.2 



-25.5 

+6.2 
+3.5 
+7.5 

-13.4 
-10.5 

-3.9 
-11.3 
+4.8 
-5.7 
-5.1 
-1.3 
-5.8 
-2.9 



'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 
^Property cnmes are offenses of burglary, larceny-thef^, motor vehicle theft, and arson. 
Mncludes arson. 



177 



Table 33.— Total Arrests, Distribution by Age, 1988 

[9,970 agencies; 1988 estimated population 188,928.000) 



Offense charged 



Total 
all 
ages 



Ages 

under 

15 



Ages 

under 

18 



Ages 

18 and 

over 



Age 



Under 
10 



10-12 



13-14 



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 offenses (except forcible rape 
and prostitution) 

Drug abuse violations 

Gambling 

Offenses against family and 
children 

Driving under the influence 

Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) 

Suspicion 

Curfew and loitering law 

violations 

Runaways 



10,149,896 
100.0 



526,421 

5.2 



1,634,790 
16.1 



8.515,106 
83.9 



45,597 
.4 



130,473 
L3 



350,351 
3.5 



291,045 
2.9 



364,780 
3.6 



452,544 
4.5 



499,454 
4.9 



480,274 

4.7 



448,723 
4.4 



16,326 

28,482 

111,344 

304,490 

331,758 

1.162,752 

153,016 

14,505 



460,642 

100.0 

1.662,031 

100.0 



2,122,673 
100.0 



687,928 
73,465 

260,848 
11,699 

125,092 

225,544 

163,480 



78,731 

78,239 

850,034 

18,106 

51,035 
1,293,516 

492,385 

606,053 

573.580 

29,270 

2,217,116 

11,066 

55,327 
124,709 



201 

1,372 

6,470 

11,345 

42,376 

152,952 

15,870 

4,117 



1,765 

4,118 

24,337 

38,536 

111,284 

351,133 

61,301 

6,216 



14,561 

24,364 

87,007 

265,954 

220,474 

811,619 

91,715 

8,289 



7 

98 

231 

809 

4,204 

14,444 

279 

1,169 



27 

267 

1,320 

2,657 

11,408 

46,359 

1,980 

1,256 



167 

1,007 

4,919 

7,879 

26,764 

92,149 

13,611 

1,692 



273 

793 

4,795 

6,977 

20,012 

59,564 

14,319 

808 



461 

900 

6,081 

8,964 

23,230 

66,539 

15,776 

640 



830 

1,053 

6,991 

11,250 

25,666 

72,078 

15,336 

651 



919 

1,229 

7,298 

11,662 

25,048 

65,381 

11,736 

519 



905 

1,140 

6.575 

11,425 

19,889 

53,110 

9,069 

467 



845 

1,120 

5,810 

11,487 

16,038 

43,882 

7,213 

407 



19,388 

4.2 

215,315 

13.0 



68,756 

14.9 

529,934 

31.9 



391,886 

85.1 

1,132.097 

68.1 



1.145 

2 

20,096 

1.2 



4,271 

.9 

61,003 

3.7 



13,972 

3.0 

134,216 

8.1 



12,838 
2.8 

94,703 
5.7 



16,406 

3.6 

106,185 

6.4 



20,124 

4.4 

113,731 

6.8 



21,108 

4.6 

102,684 

6.2 



20,045 
4.4 

82,535 
5.0 



19,262 
4.2 

67,540 
4.1 



234,703 
11.1 



598,690 
28.2 



1,523,983 
71.8 



21,241 
1.0 



65,274 
3.1 



148,188 
7.0 



107,541 
5.1 



122,591 
5.8 



133,855 
6.3 



123.792 
5.8 



102,580 
4.8 



86,802 
4.1 



36,112 

937 

4,740 

110 

8,015 
43,810 

6,923 



157 

6,247 

10,077 

131 

730 
403 

8,746 

1969 

25,738 

650 

69,209 

703 

15,418 
50,893 



97,634 

6,125 

12,135 

949 

31,435 
90.027 

26,986 



1,432 

12,585 
76,986 

774 

2,363 
17,674 

124,024 

17,886 

88,813 

2,450 

243,622 

2,164 

55,327 
124,709 



590,294 
67,340 

248,713 
10,750 

93,657 
135,517 

136,494 



77,299 

65,654 

773,048 

17,332 

48,672 
1,275,842 

368,361 

588,167 

484,767 

26,820 

1,973,494 

8.902 



3,098 

40 

123 

3 

302 
7,404 

354 



632 

219 

5 

176 
159 

289 

154 

2,100 

40 

6,828 

46 

362 
2,009 



9,866 
174 
919 

24 

1,502 
13,839 

1,462 



19 

1,721 

1,055 

20 

136 
49 

671 
156 
6,276 
120 
15,559 
179 

2,387 
9,065 



23,148 

723 

3,698 

83 

6,211 
22,567 

5,107 



125 

3,894 

8,803 

106 

418 
195 

7,786 

1,659 

17,362 

490 

46,822 

478 

12,669 
39,819 



17,080 

915 

3,554 

80 

6,210 
14,335 

4,911 



185 

2,122 

12,589 

169 

482 
633 

15,487 
2,572 
15,252 

474 
40,810 

445 

12,636 
32,563 



20,020 
1,579 
1,278 

271 

7,566 

15,377 

6,508 



329 

1,978 

21,304 

198 

538 
4,159 

35,872 

4,666 

20,212 

554 
56,319 

547 

15,156 
27,758 



24,422 
2,694 
2,563 



9.644 
16,505 

8,644 

761 

2,238 
33,016 

276 

613 

12,479 

63,919 

8,679 

27,611 

772 

77,284 

469 

12,117 
13,495 



24,766 

3,616 

5,224 

635 

9,831 
13,374 

9,792 



2,124 

2,372 

43,839 

320 

1,349 
29,578 

81,745 
16,196 
30,027 
1,167 
99,360 
347 



25,218 

4,050 

8,111 

648 

8,292 
10,408 

8,697 



3,196 

2,317 

44,559 

312 

1,373 
37,497 

71,864 
17,245 
28,313 
1,159 
104,024 
411 



25,603 

3,979 

9,712 

663 

6,625 
8,679 

7,682 



3,557 

2,284 

43,638 

338 

1,598 
42,338 

53,737 
18,119 
27,616 

980 
104,352 

421 



See footnotes at end of table. 



178 



able 33. — Total Arrests, Distribution by Age, 1988 — 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 

Percent distribution' 



llurder and nonnegligent 

manslaughter 

orcible rape 

obbery 

iggravated assault 

lurglary 

arceny-lheft 

lotor vehicle theft 



Violent crime^ 

Percent distnbution' 

Property crime' 

Percent distribution' 



Crime Index total' . 
Percent distribution' 



)ther assaults 

■orgery and counterfeiting 

■raud 

Embezzlement 

.tolen property, buying, receiving, 

possessing 

Vandalism 

Veapons; 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 



419,46« 
4.1 



786 

1,152 

5,501 

12,393 

12.788 

37,940 

5,575 

415 



19.832 
4.3 

56,718 
3.4 



76,550 
3.6 



29,082 
3,590 
11,513 

552 

5,317 
7,709 

7,271 



4,672 

2,499 
43,789 

325 

2,015 
56,565 

13.992 

22.035 

27,388 

1,020 

103,117 

465 



419,160 
4.1 



421,568 
4.2 



1,864,134 
18.4 



1,379,390 
13.6 



881,397 

8.7 



515,881 
5.1 



298.220 
2.9 



181,896 
1.8 



119.888 
1.2 



76,647 



717 

1,256 

5,273 

12.910 

11.940 

36,736 

5.050 

398 



668 

1.214 

5,178 

13.019 

11.790 

36.091 

4,744 

375 



2,995 

5,640 

21,386 

60.943 

47,645 

161,687 

18.781 

1,706 



2.084 

4,255 

13,294 

47,070 

31,102 

128,645 

11,744 

1,275 



1,500 

2,660 

6,433 

30,122 

16,782 

84,499 

6,224 

924 



908 

1.562 

2,746 

17,990 

7,341 

46,752 

2,844 

531 



539 

856 

1,091 

10,229 

3,166 

26,393 

1,295 

351 



297 

449 

433 

6,124 

1,535 

16,707 

581 

214 



223 
308 
223 
3,748 
832 
12,335 
339 
142 



151 
178 
118 

2.282 
364 

8,995 
152 
101 



20,156 
4.4 

54,124 
3.3 



20,079 
4.4 

53,000 
3.2 



90,964 

19.7 

229,819 

13.8 



66,703 

14.5 

172,766 

10.4 



40,715 



108,429 
6.5 



23,206 
5.0 

57,468 
3.5 



12,715 
2.8 

31,205 
1.9 



7,303 

1.6 

19,037 

1.1 



4,502 

1.0 

13,648 



2,729 
.6 

9,612 
.6 



74,280 
3.5 



73,079 
3.4 



320,783 
15.1 



239,469 
11.3 



149,144 
7.0 



80,674 
3.8 



43,920 
2.1 



26,340 
1.2 



18.150 
,9 



12,341 
,6 



30,329 
3,569 
11,971 

552 

4,983 

7,457 

6,985 



5,137 

2,544 

43,966 

381 

2.126 
59,374 

12,060 
22,652 
26,370 

916 
103,023 

485 



31.226 

3.586 

12.441 

569 

4.713 
7,135 

6,745 



5.112 

2.781 

44.252 

443 

2.306 
61.880 

10.593 
23,139 
26.168 

957 
103,984 

459 



142,617 

15,962 

58.131 

2,293 

18,847 
29,900 

28,473 



23,050 

13,198 

195.200 

2,179 

11,278 
287,393 

37,506 
112,865 
106,010 

4,948 
451,333 

2,168 



104,602 

12,137 

47,149 

1,695 

13,253 
19.389 

20,693 



14,104 

11,096 

135,683 

2,170 

10,034 
219,147 

23,708 
99,192 
74,093 

4,488 
325,636 

1,652 



64,389 

6,805 

32,971 

1,124 

7.811 
10,843 

12,989 



6.300 

8,266 

74,284 

2,037 

6,854 
151,054 

15,806 
75,800 
44,947 

3,765 
205,171 

1,037 



36,874 

3,227 

19,702 

669 

3,862 
5.671 

7,859 



2,810 

5,732 

33,635 

1,952 

3,973 
102,410 

10,269 

5 1 ,944 

26,254 

2,394 

115,443 

527 



20,589 

1,608 

9,810 

418 

1,957 
2,852 

4,640 



1,401 

3,417 

14.223 

1,857 

1,956 
66,419 

6,747 
36,000 
15,261 

1,648 

63,263 

234 



11,359 

730 

5,172 

175 

988 
1.543 

2,887 



764 

2,259 
6,444 
1,496 

919 
42.879 

4,571 

26,176 

9,225 

927 

36,904 

138 



6,745 

373 

2,768 

99 

625 
924 

1,891 



474 

1,701 
3,252 
1,243 

489 
29,048 

3,171 

19,634 

5,770 

678 

22,775 

78 



4,059 

185 

1,501 

47 

341 
560 

1,167 



352 

1,296 

1,558 

939 

248 
18,817 

2,046 
13,065 
3,934 
415 
13,742 
34 



78,369 
.8 



230 

188 

105 

2,418 

350 

12,595 

157 

77 



2,941 

.6 

13.179 



16.120 



4.392 

178 

1,778 

33 



690 



1,208 



338 

1,483 
1,191 
1,025 

258 
16,160 

1,941 

11,643 

4,110 

377 

15,110 

45 



'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. 



179 



Table 34. — Male Arrests, Distribution by Age, 1988 

[9,970 agencies; 1988 estimated population 188,928,000) 



OfFense charged 



Total 
all 
ages 



Ages 
under 

15 



Ages 

under 

18 



Ages 

18 and 

over 



Age 



Under 
10 



10-12 



13-14 



16 



17 



19 



20 



TOTAL 

Percent distribution' 



Murder and nonnegligent 

manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-thef^ 

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 traftic) 

Suspicion 

Curfew and loitering law 

violations 

Runaways 



8,340,628 

100.0 



14,334 
28,137 
101,921 
263,619 
303,898 
808,329 
137,623 
12,607 



408,011 

100.0 

1,262,457 

100.0 



1,670.468 
100.0 



582,742 

48,588 

143,436 

7,269 

110,271 
201,054 

150,851 



24,845 

72,522 

718,229 

15,319 

42,199 
1.139,227 

402,850 

549,742 

468,923 

25,843 

1,861,131 

9,370 

40,363 
55,386 



400,193 

4.8 



1,275,396 

15.3 



7,065,232 

84.7 



38,802 

,5 



104,486 

1.3 



256,905 

3.1 



217,401 

2.6 



285,410 

3.4 



372,392 

4.5 



420,950 

5.0 



404.685 

4.9 



377,189 

4.5 



185 

1,328 

5,862 

9,318 

38,596 

114,063 

13.779 

3,727 



1.646 

4,033 

22,535 

32,684 

102,997 

258,747 

54.984 

5,624 



12,688 

24,104 

79,386 

230,935 

200,901 

549,582 

82,639 

6,983 



5 

92 

222 

721 

3,794 

11,943 

262 

1,085 



26 

262 

1,218 

2,231 

10,379 

35,436 

1,760 

1,159 



154 

974 

4,422 

6,366 

24.423 

66,684 

11,757 

1,483 



248 

782 

4,395 

5,739 

18,525 

43,232 

12,747 

717 



430 

886 

5,693 

7,633 

21,736 

48,430 

14,312 

571 



783 

1.037 

6,585 

9,994 

24,140 

53,022 

14,146 

609 



860 

1,216 

6,866 

10,317 

23,605 

47,780 

10,882 

474 



834 

1,122 

6.161 

10,108 

18,538 

38,008 

8,364 

430 



769 

1,108 

5,441 

10.028 

14,923 

30,878 

6,632 

360 



16,693 

4.1 

170,165 

13.5 



60,898 

14.9 

422,352 

33.5 



347,113 
85.1 

840,105 
66.5 



1,040 

.3 

17,084 

1.4 



3,737 

.9 

48,734 

3.9 



11,916 

2.9 

104,347 

8.3 



11,164 
2.7 

75,221 
6.0 



14,642 
3.6 

85,049 
6.7 



18,399 
4.5 

91,917 
7.3 



19,259 
4.7 

82,741 
6.6 



18,225 

4.5 

65,340 

5.2 



17,346 
4.3 

52,793 
4.2 



186,858 
11.2 



483,250 
28.9 



1,187,218 
71.1 



18,124 
1.1 



52,471 
3.1 



116,263 
7.0 



86,385 
5.2 



99,691 
6.0 



110,316 
6.6 



102,000 
6.1 



83.565 
5.0 



70,139 

4.2 



26,833 

632 

3,661 

75 

7,163 
40,027 

6,303 



74 

5,714 

8,348 

120 

435 
324 

5,044 

1,369 

19,928 

544 

52,857 

541 

10,664 
22,679 



75,192 

4,148 

9,074 

552 

28,404 
82,175 

25,194 



513 

11,701 

67,380 

729 

1,504 
15.331 

90,739 
15,064 
71,652 

2,054 
193,238 

1,753 

40,363 
55,386 



507,550 

44,440 

134,362 

6,717 

81,867 
118,879 

125.657 



24,332 

60,821 

650,849 

14,590 

40.695 
1,123,896 

312.111 

534,678 

397,271 

23,789 

1.667,893 

7,617 



2,636 

27 
85 

2 

278 
6,898 

324 



562 

181 

3 

118 
139 

234 

130 

1,795 

34 

5,407 

37 

307 
1,476 



7,687 

134 

749 

16 

1,367 

12,747 

1,343 



16 

1,570 

863 

15 

84 
39 

407 
115 
5,008 
106 
12,758 
143 

1,758 
5,090 



16,510 

471 

2.827 

57 

5,518 
20,382 

4,636 



53 

3,582 

7.304 

102 

233 
146 

4,403 

1,124 

13,125 

404 

34,692 

361 

8,599 
16,113 



12,693 

567 

2,807 

59 

5,602 
12,864 

4,539 



59 

1.983 

10,909 

161 

277 
507 

9,884 

2.074 

11,924 

408 

30,814 

353 

8,979 
13.553 



15,714 

1,051 

892 

160 

6,850 
14,128 

6,097 



111 

1,871 

18,785 

188 

336 
3,549 

25,982 
3,901 
16,410 

452 
45,006 

456 

11,273 
12.507 



19.952 

1,898 

1,714 

258 

8,789 
15,156 

8,255 



269 

2,133 

29,338 

260 

456 
10,951 

49,829 

7,720 

23,390 

650 
64.561 

403 

9,447 
6,647 



20,653 

2,513 

3,073 

354 

8,961 
12,244 

9,284 



590 

2,206 

38.721 

291 

1,116 
26,201 

66.292 
14.749 
25,513 

969 
84.910 

310 



21,318 

2,760 

4,539 

373 

7,589 
9,450 

8,197 



781 

2,145 

39.218 

288 

1,104 
33,231 

59,758 
15,894 
23,848 

982 
89.281 

364 



21,672 

2.760 

5,279 

344 

5,929 

7,775 

7,233 



918 

2,078 

37,828 

296 

1,293 
37,641 

45,657 
16,646 
23,292 

820 
89,216 

373 



See footnotes at end of table. 



180 



ible 34. — Male Arrests, Distribution by Age, 1988 — 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 

Percent distribution' 



urdcr and nonnegligent 

inslaughter 

-.hie rape 

ohbery 

ggravated assault 

urglary 

I arceny-theft 

loior vehicle thei^ 

rson 



Violent crime^ 

Percent distribution' 

Property crime^ 

Percent distribution' 



Crime Index total' . 
Percent distribution' 



Dther assaults 

-orgery and counterfeiting 

-raud 

Embezzlement 

Stolen properly; buyiiig, receiving, 

possessing 

Vandalism 

Weapons; carrying, possessing, 

etc 



I Prostitution and commercialized 

j vice 

I 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 



349,124 
4.2 



696 

1,145 

5,064 

10,759 

11,729 

25,822 

5,025 

367 



17,664 
4.3 

42,943 
3.4 



60,607 
3.6 



24,930 

2,367 

6,219 

326 

4,669 
6,822 

6,745 



1,220 

2,201 

37,214 

270 

1,635 
50,039 

12,338 
20,088 
22,432 

876 
87,726 

400 



34S,882 
4.1 



345,871 
4.1 



1,524,177 
18.3 



1,129,872 
13.5 



729,882 
8.8 



431,763 

5.2 



252,302 
3.0 



156,103 
1.9 



103,696 
1.2 



66,236 



617 

1.239 

4,780 

11.192 

10,931 

24,810 

4.529 

339 



583 

1,200 

4,664 

11,197 

10,675 

23,992 

4,210 

318 



2.596 

5,582 

19,221 

52,332 

42.957 

106,953 

16,551 

1,402 



1,750 
4,195 
11,946 
40,460 
27,767 
86,648 
10,387 
1,034 



1,251 

2,633 

5.819 

26,181 

15,006 

57,993 

5,511 

743 



779 

1,551 

2,503 

15,719 

6,463 

31,361 

2,556 

437 



465 

851 

976 

8,981 

2,794 

17,361 

1,173 

285 



252 

446 

403 

5.422 

1,347 

10,317 

532 

180 



194 
305 
213 

3,360 
731 

7.346 
314 
122 



124 
176 
107 

2,057 
308 

5,210 
142 
86 



17,828 
4.4 

40,609 
3.2 



17,644 
4.3 

39,195 
3.1 



79,731 

19.5 

167,863 

13.3 



58,351 

14.3 

125,836 

10.0 



35,884 
8.8 

79,253 
6.3 



20,552 
5.0 

40,817 
3.2 



11,273 

2.8 

21,613 

1.7 



6,523 

1.6 

12,376 

1.0 



4.072 

1.0 

8,513 

.7 



2,464 
.6 

5,746 

.5 



58,437 
3.5 



56.839 
3.4 



247,594 
14.8 



184,187 
1 1.0 



115,137 
6.9 



61,369 

3.7 



32,886 
2.0 



18,899 
1.1 



12,585 



8,210 

.5 



25,849 

2,242 

6,402 

320 

4,325 
6,491 

6,418 



1,160 

2,291 

37,094 

316 

1,727 
52,209 

10,593 
20.475 
21.344 

785 
86,997 

407 



26,714 

2,272 

6,485 

352 

4,127 
6,190 

6,201 



1,277 

2,456 

36,786 

380 

1,884 
54,275 

9,266 

20,783 

20,823 

821 

87,542 

398 



122,720 

10,124 

30,301 

1.478 

16,134 
25,807 

25,858 



5,924 

11,773 

161,092 

1,751 

9,251 
251,488 

32.482 

100,818 

84,104 

4,268 

379,407 

1,803 



90,536 
7,914 

24,846 
1,131 

11,187 
16,700 

18,768 



4,209 

10,159 

111,681 

1,755 

8,408 
191,722 

20,541 
88,785 
59,688 

3,950 
272,350 

1,355 



55,966 
4,483 
17,500 

722 

6,640 
9.391 

11,854 



2,641 

7,764 

62,393 

1,636 

5,820 
132,385 

13,736 

68,544 

36,855 

3,438 

172,063 

914 



32,092 

2,231 

11,066 

446 

3,354 
4,865 

7,123 



1,711 

5,566 

28,475 

1,619 

3,553 
89,768 

8,834 
47,384 
21,878 

2,233 

97,723 

473 



17,851 

1,162 

5,723 

268 

1,711 
2,458 

4,252 



1,068 

3,348 

12,237 

1,528 

1,703 
58,520 

5,850 
33,301 
12,893 

1,535 

53,799 

209 



9,920 
538 

3,112 
124 

876 
1,324 

2,697 



683 

2,229 
5,629 
1,292 

811 
38,733 

4,064 

24,624 

7,955 

888 

31,587 

118 



5,889 

283 

1,819 

74 

555 
810 

1,760 



432 

1,685 
2,824 
1,112 

422 
26,580 

2,809 
18,573 
4,984 
643 
19,786 
71 



3,559 

153 

1,036 

41 

304 
480 

1,095 



322 

1,279 

1,345 

861 

219 
17,274 

1,847 

12,388 

3,480 

388 

11,926 

29 



65.545 
.8 



198 

187 

97 

2,207 

314 

7,256 

147 

63 



2,689 
.7 

7,780 
.6 



10,469 
.6 



3,785 

130 

1,153 

26 

255 
572 

1,139 



285 

1,465 

1,028 

936 

230 
14,856 

1,741 

11,046 

3,534 

348 

12,505 

42 



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

^Violent cnmes are offenses of murder, forcible rape, robbery, and aggravated assault. 
'Property cnmes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 
'Includes arson. 



181 



Table 35. — Female Arrests, Distribution by Age, 1988 

[9,970 agencies; 1988 estimated population 188,928,000] 



Offense charged 



Total 
all 
ages 



Ages 

under 

15 



Ages 

under 

18 



Ages 

18 and 

over 



Age 



Under 
10 



10-12 



13-14 



16 



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 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 trafTic) 

Suspicion 

Curfew and loitering law 

violations 

Runaways 



1,809,268 
lOfl.O 



1.992 

345 

9.423 

40,871 

27,860 

354,423 

15,393 

1.898 



52,631 

100.0 

399,574 

100.0 



452,205 
100.0 



105,186 

24,877 

117,412 

4,430 

14,821 
24,490 

12,629 



53,886 

5.717 

131,805 

2,787 

8,836 
154,289 

89,535 

56,311 

104,657 

3.427 

355,985 

1,696 

14,964 
69.323 



126,228 

7.0 



359,394 
19.9 



1,449,874 
80.1 



6,795 

.4 



25,987 
1.4 



93,446 

5.2 



73,644 
4.1 



79,370 
4.4 



80.152 
4.4 



78,504 
4.3 



75,589 
4.2 



71,534 
4.0 



16 

44 

608 

2,027 

3,780 

38,889 

2,091 

390 



119 

85 

1,802 

5,852 

8,287 

92,386 

6,317 

592 



1,873 

260 

7,621 

35,019 

19,573 

262.037 

9,076 

1,306 



2 

6 

9 

88 

410 

2,501 

17 

84 



1 

5 

102 

426 

1,029 

10,923 

220 

97 



13 

33 

497 

1,513 

2.341 

25,465 

1.854 

209 



25 

II 

400 

1,238 

1,487 

16.332 

1,572 

91 



31 

14 

388 

1,331 

1,494 

18,109 

1,464 

69 



47 

16 

406 

1.256 

1.526 

19.056 

1.190 

42 



59 

13 

432 

1,345 

1,443 

17,601 

854 

45 



71 

18 

414 

1,317 

1,351 

15,102 

705 

37 



76 

12 

369 

1,459 

1,115 

1 3.004 

581 

47 



2,695 

5.1 

45,150 

11.3 



7,858 

14.9 

107,582 

26.9 



44,773 

85.1 

291,992 

7.3.1 



105 

.2 

3,012 



534 

1.0 

12,269 

3.1 



2,056 

3.9 

29,869 

7.5 



1,674 

3.2 

19,482 

4.9 



1,764 

3.4 

21,136 

5.3 



1.725 

3.3 

21.814 

5.5 



1,849 

3.5 

19,943 

5.0 



1,820 

3.5 

17,195 

4.3 



1,916 

3.6 

14,747 

3.7 



47.845 
10.6 



115,440 
25.5 



336,765 
74.5 



3.117 

.7 



12,803 
2.8 



31,925 
7.1 



21,156 
4.7 



22,900 
5.1 



23.539 

5.2 



21,792 
4.8 



19,015 
4.2 



16,663 

3.7 



9,279 

305 

1,079 

35 

852 
3,783 

620 



83 

533 

1,729 

11 

295 
79 

3,702 
600 

5,810 

106 

16,352 

162 

4,754 
28,214 



22,442 

1,977 

3,061 

397 

3,031 
7,852 

1,792 



919 

884 

9,606 

45 

859 
2,343 

33,285 

2,822 

17,161 

396 

50,384 

411 

14,964 
69,323 



82,744 

22,900 

114,351 

4,033 

11,790 
16.638 

10.837 



52,967 

4.833 

122.199 

2.742 

7.977 
151.946 

56,250 
53,489 
87,496 

3,031 
305,601 

1,285 



462 

13 

38 

1 

24 
506 

30 



70 
38 

2 

58 
20 

55 

24 

305 

6 

1,421 

9 

55 

533 



2,179 
40 
170 



135 
1,092 



119 



151 

192 

5 

52 
10 

264 
41 

1,268 
14 

2,801 
36 

629 
3,975 



6.638 

252 

871 

26 

693 
2.185 

471 



72 

312 

1.499 

4 

185 
49 

3.383 

535 

4,237 

86 

12,130 

117 

4,070 
23,706 



4,387 

348 

747 

21 

608 
1,471 

372 



126 



139 
1,680 



205 
126 

5,603 

498 

3.328 

66 
9,996 

92 

3,657 
19,010 



4,306 
528 
386 
111 

716 
1.249 



218 

107 

2.519 

10 

202 
610 

9.890 

765 

3.802 

102 

11.313 

91 

3.883 
15.251 



4,470 
796 
849 
230 

855 
1.349 

389 



492 

105 

3,678 

16 

157 
1,528 

14,090 

959 

4,221 

122 

12,723 

66 

2,670 
6.848 



4,113 

1,103 

2,151 

281 

870 
1,130 

508 



1,534 

166 

5,118 

29 

233 
3,377 

1 5.453 

1,447 

4,514 

198 

14,450 

37 



3,900 
1,290 
3,572 

275 

703 
958 

500 



2,415 

172 
5,341 

24 

269 
4,266 

12,106 

1,351 

4,465 

177 

14,743 

47 



3,931 

1,219 

4,433 

319 

696 
904 

449 



2,639 

206 

5,810 

42 

305 
4,697 

8,080 

1,473 

4,324 

160 

15.136 

48 



See footnotes at end of table. 



182 



able 35. — Female Arrests, Distribution by Age, 1988 — Continued 



Offense charged 



Age 



23 24 



25-29 30-34 35-39 40-44 



45-49 



50-54 



55-59 



60-64 



65 and 
over 



TOTAL 

Percent distribution' 



lurder and nonnegligenl 

manslaughter 

orcible rape 

lobbeo- 

iggravated assault 

lurglary 

.arceny-thefl 

dolor vehicle theft 

vrson 



Violent crime^ 

Percent distribution' 
Property crime' — 
Percent distribution' 



Crime Index total* . 
Percent distnbution' 



Diher 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 



70,342 
3.9 



90 

7 

437 

1,634 

1,059 

12,118 

550 

48 



2,168 

4.1 

13.775 

3.4 



15,943 
3.5 



4,152 

1,223 

5,294 

226 

648 
887 

526 



3,452 

298 

6,575 

55 

380 
6,526 

1,654 

1,947 

4,956 

144 

15,391 

65 



73,278 
4.1 



75,697 
4.2 



339,957 
18.8 



249,518 
13.8 



151,515 
8.4 



84,118 
4.6 



45,918 

2.5 



25,793 
1.4 



16.192 
.9 



10,411 
.6 



100 

17 

493 

1,718 

1,009 

11,926 

521 

59 



85 

14 

514 

1,822 

1,115 

12,099 

534 

57 



399 

58 

2,165 

8,611 

4,688 

54,734 

2,230 

304 



334 

60 

1,348 

6,610 

3,335 

41,997 

1,357 

241 



249 

27 

614 

3,941 

1,776 

26,506 

713 

181 



129 

II 

243 

2,271 

878 

15,391 

288 

94 



74 

5 

115 

1,248 

372 

9.032 

122 

66 



45 
3 

30 
702 
188 
6,390 
49 
34 



29 
3 

10 

388 

101 

4,989 

25 

20 



2,328 

4.4 

13,515 

3.4 



2,435 

4.6 

13.805 

3,5 



11.233 
21.3 

61,956 
15.5 



8,352 

15.9 

46,930 

11.7 



4,831 

9.2 

29,176 

7.3 



2,654 

5.0 

16,651 

4.2 



1,442 
2.7 

9,592 
2.4 



780 

1.5 

6,661 

1.7 



430 



5.135 
1.3 



15,843 
3.5 



16,240 
3.6 



73,189 
16.2 



55,282 
12.2 



34,007 

7.5 



19,305 
4.3 



11,034 
2.4 



7,441 
1.6 



5,565 
1.2 



4,480 

1,327 

5,569 

232 

658 
966 

567 



3,977 

253 

6.872 

65 

399 
7,165 

1,467 

2,177 

5,026 

131 

16,026 

78 



4,512 

1,314 

5,956 

217 

586 
945 

544 



3,835 

325 

7,466 

63 

422 
7,605 

1.327 

2,356 

5,345 

136 

16.442 

61 



19,897 

5,838 

27,830 

815 

2,713 
4,093 

2,615 



17,126 

1,425 

34,108 

428 

2,027 
35.905 

5,024 
12,047 
21,906 

680 
71,926 

365 



14,066 

4,223 

22,303 

564 

2,066 
2,689 

1.925 



9,895 

937 

24,002 

415 

1,626 
27,425 

3,167 

10,407 

14,405 

538 

53,286 

297 



8,423 

2,322 

15,471 

402 

1,171 
1,452 

1,135 



3,659 

502 

11,891 

401 

1,034 
18,669 

2,070 

7,256 

8,092 

327 

33,108 

123 



4,782 
996 

8,636 
223 

508 
806 

736 



1,099 

166 

5,160 

333 

420 
12,642 

1,435 

4,560 

4,376 

161 

17,720 

54 



2,738 
446 

4,087 
150 

246 
394 

388 



333 

69 

1,986 

329 

253 
7,899 

897 
2,699 
2,368 

113 

9,464 

25 



1,439 

192 

2,060 

51 

112 
219 

190 



30 
815 
204 

108 
4,146 

507 

1,552 

1,270 

39 

5.317 

20 



856 

90 

949 

25 

70 
114 

131 



42 

16 
428 
131 

67 
2,468 

362 

1,061 

786 

35 

2,989 

7 



27 

2 

II 

225 

56 

3,785 

10 

15 



265 

.5 

3,866 

1.0 



4,131 
9 



500 

32 

465 

6 

37 
80 



30 

17 

213 

78 

29 
1,543 

199 

677 

454 

27 

1,816 

5 



12,824 

.7 



32 
I 

8 

211 

36 

5,339 

10 

14 



252 

.5 

5,399 

1.4 



5,651 
1.2 



607 

48 

625 

7 

34 
118 

69 



18 
163 
89 

28 
1,304 

200 

597 

576 

29 

2,605 

3 



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

^Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 
'Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 
Mncludes arson. 



183 



Table 36.— Total Arrests of Persons under IS, 18, 21, and 25 Years of Age, 1988 

[9,970 agencies; 1988 estimated population 188,928,000] 



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 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 traffic) 

Suspicion 

Curfew and loitering law violations 

Runaways 



10,149,896 



16,326 

28,482 

111,344 

304,490 

331,758 

1,162,752 

153,016 

14,505 



460,642 
1,662,031 



2,122,673 



687,928 
73,465 
260,848 
11,699 
125,092 
225,544 
163,480 

78,731 
78,239 
850,034 
18,106 
51,035 
1,293,516 

492,385 

606,053 

573,580 

29,270 

2,217,116 

11,066 

55,327 

124,709 



526,421 



1,634,790 



3,063,241 



4,754.074 



5.2 



16.1 



201 

1,372 

6,470 

11,345 

42,376 

152,952 

15,870 

4,117 



1,765 

4,118 

24,337 

38,536 

111,284 

351,133 

61,301 

6,216 



4,434 

7,607 

44,020 

73,110 

172,259 

513,506 

89,319 

7,609 



7,399 

12.386 

65,515 

123,564 

222,641 

664,144 

110,899 

9,184 



1.2 

4.8 

5.8 

3.7 

12.8 

13.2 

10.4 

28.4 



10.8 
14.5 
21.9 
12.7 
33.5 
30.2 
40.1 
42.9 



19,388 
215,315 



68,756 
529,934 



129,171 
782,693 



208,864 
1,006,868 



4.2 
13.0 



14.9 
31.9 



234,703 



598,690 



911,864 



1,215,732 



28.2 



36,112 

937 

4,740 

110 

8,015 

43,810 

6,923 

157 
6,247 
10,077 
131 
730 
403 

8,746 

1,969 

25,738 

650 

69,209 

703 

15,418 

50,893 



97,634 
6,125 
12,135 
949 
31,435 
90,027 
26,986 

1,432 

12,585 

76,986 

774 

2,363 
17,674 

124,024 

17,886 

88,813 

2,450 

243.622 

2,164 

55,327 

124,709 



173,221 

17,770 

35,182 

2,895 

56,183 

122,488 
53,157 

10,309 

19,558 

209,022 

1,744 

6,683 

127,087 

331,370 

69,446 

174,769 

5,756 

551,358 

3,343 

55,327 

124,709 



292,302 

32,260 

81,866 

5,146 

77,119 

153,172 
81,673 

29,138 
29,791 

384,564 

3,208 

15,026 

360,189 

386,620 
159,734 
283,976 

9,630 
967,739 

5,153 
55,327 
124,709 



5.2 
1.3 
1.8 
.9 
6.4 
19.4 
4.2 

.2 
8.0 
1.2 

.7 
1.4 
(4) 

1.8 

.3 

4.5 

2.2 

3.1 

6.4 

27.9 

40.8 



14.2 

8.3 

4.7 

8.1 

25.1 

39.9 

16.5 

1.8 
16.1 
9.1 
4.3 
4.6 
1.4 

25.2 

3.0 

15.5 

8.4 

11.0 

19.6 

100.0 

100.0 



30.2 



27.2 
26.7 
39.5 
24.0 
51.9 
44.2 
58.4 
52.5 



28.0 
47.1 



43.0 



25.2 
24.2 
13.5 
24.7 
44.9 
54.3 
32.5 

13.1 
25.0 
24.6 

9.6 
13.1 

9.8 

67.3 
11.5 
30.5 
19.7 
24.9 
30.2 
100.0 
100.0 



46.8 



45.3 
43.5 
58.8 
40.6 
67.1 
57.1 
72.5 
63.3 



45.3 
60.6 



57.3 



42.5 
43.9 
31.4 
44.0 
61.6 
67.9 
50.0 



78.5 
26.4 
49.5 ■ 
32.9 
43.6 
46.6 
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. 



184 



ible 37.— Total Arrests, Distribution by Sex, 1988 

,970 agencies; 1988 estimated population 188.928.000) 



OfTense charged 



Number of persons arrested 



Total 



Male 



Female 



Percent 
male 



Percent 
female 



Percent distribution' 



Total 



Male 



Female 



TOTAL 



[urder and nonnegligent manslaughter 

orcible rape 

obbery 

ggravated assault 

urglary 

lareeny-theft 

"lotor vehicle theft 

rson 



Violent crime^ 
Property crime* 



Crime Index totaP 



<>ther assaults 

orgery and counterfeiting 

raud 

imbezz'ement 

lolen property: buying, receiving, possessing 

Vandalism 

Veapons; carrying, possessing, etc 



*rostitution and commercialized vice 

iex offenses (except forcible rape and prostitution) 

)rug abuse violations 

jambting 

3ffenses against family and children 

driving under the influence 



wiquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

M\ other offenses (except traftic) .. 

Suspicion 

Curfew and loitering law violations 
Runaways 



10,149,896 



16,.126 

28,482 

111,344 

304,490 

331,758 

1,162,752 

153,016 

14,505 



460,642 
1,662,031 



2,122,673 



687,928 
73,465 
260,848 
11,699 
125,092 
225,544 
163,480 

78,731 
78,239 
850.034 
18,106 
51,035 
1,293,516 

492,385 

606,053 

573,580 

29,270 

2,217,116 

11,066 

55.327 

124,709 



8,340,628 



1,809,268 



82.2 



17.8 



100.0 



14.334 
28,137 
101.921 
263.619 
303.898 
808.329 
137,623 
12,607 



1,992 

345 

9,423 

40,871 

27.860 

354.423 

15.393 

1.898 



87.8 
98.8 
91.5 
86.6 
91.6 
69.5 
89.9 
86.9 



12.2 

1.2 

8.5 

13.4 

8.4 

30.5 

10.1 

13.1 



.2 

.3 

1.1 

3.0 

3.3 

11.5 

1.5 

.1 



408.011 
1.262.457 



52.631 
399.574 



88.6 
76.0 



11.4 
24.0 



4.5 
16.4 



1,670,468 



452,205 



78.7 



21.3 



20.9 



582.742 
48,588 
143,436 
7,269 
110,271 
201,054 
150,851 

24,845 
72,522 
718,229 
15,319 
42,199 
1,139.227 

402,850 

549,742 

468,923 

25,843 

1.861,131 

9,370 

40,363 

55,386 



105,186 
24,877 

117,412 

4.430 

14.821 

24.490 

12.629 

53.886 
5.717 

131.805 
2.787 
8.836 

154,289 

89,535 

56,311 

104,657 

3,427 

355,985 

1.696 

14,964 

69,323 



84.7 
66.1 
55.0 
62.1 
88.2 
89.1 
92.3 

31.6 
92.7 
84.5 
84.6 
82.7 
88.1 

81.8 
90.7 
81.8 
88.3 
83.9 
84.7 
73.0 
44.4 



15.3 
33.9 
45.0 
37.9 
11.8 
10.9 
7.7 

68.4 
7.3 
15.5 
15.4 
17.3 
11.9 

18.2 
9.3 
18.2 
11.7 
16.1 
15.3 
27.0 
55.6 



6.8 
.7 
2.6 
.1 
1.2 
2.2 
1.6 



8.4 

.2 

.5 

12.7 

4.9 

6.0 

5.7 

.3 

21.8 

.1 

.5 

1.2 



100.0 



.2 
.3 
1.2 
3.2 
3.6 
9.7 
1.7 
.2 



4.9 

15.1 



20.0 



7.0 
.6 
1.7 
.1 
1.3 
2.4 
1.8 

.3 

.9 

8.6 

.2 

.5 
13.7 

4.8 
6.6 
5.6 

.3 
22.3 
.1 
.5 
.7 



100.0 



.1 

(2) 
.5 
2.3 
1.5 
19.6 
.9 
.1 



2.9 

22.1 



25.0 



5.8 

1.4 

6.5 

.2 

.8 

1.4 

.7 

3.0 
.3 

7.3 
.2 

.5 
8.5 

4.9 

3.1 

5.8 

.2 

19.7 

.1 

.8 

3.8 



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

^Less than one-lenth of I percent. 

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

'Property cnmes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 

'includes arson. 



185 



Table 38.— Total Arrests, Distribution by Race, 1988 

[9.933 agencies; 1988 estimated population 187,818,000] 



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 

or 
Pacific 
Islander 



TOTAL 

Murder and nonnegligent manslaughter 

Forcible rape 

Robberv 

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 traffic) 

Suspicion 

Curfew and loitering law violations . . . 
Runaways 



10,067,447 



16.090 

28,036 

110,427 

302,311 

329,812 

1,157,150 

151,719 

14,374 



456,864 
1,653,055 



2,109,919 



683,182 
72,860 

260,376 
11,467 

123,853 
224,275 
162,365 

78,346 

77,870 

844,300 

17,613 

49,643 

1,279,121 

488,993 

599,295 

569,475 

27,969 

2,197,185 

10.973 

54,847 

123,520 



6,903,070 



2,977,266 



105,050 



82,061 



100.0 



68.6 



29.6 



7,243 

14,775 

40,072 

174,177 

220,998 

758,752 

89,115 

10,559 



8,603 

12,853 

69,130 

123,058 

103.249 

372,574 

59,984 

3,591 



99 

218 

481 

2,843 

2,673 

12,221 

883 

124 



145 
190 

744 

2,233 

2,892 

13,603 

1,737 

100 



100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



45.0 
52.7 
36.3 
57.6 
67.0 
65.6 
58.7 
73.5 



53.5 
45.8 
62.6 
40.7 
31.3 
32.2 
39.5 
25.0 



236,267 
1,079,424 



213.644 
539,398 



3.641 
15,901 



3,312 
18,332 



100.0 
1 00.0 



51.7 
65.3 



46.8 
32.6 



1,315,691 



753,042 



19,542 



21,644 



1 00.0 



62,4 



35.7 



423,697 

47,156 

170,228 

7,388 

70,839 
166,540 
95,092 

45,163 

59,856 

503,125 

8,221 

31,572 

1,125,107 

429,309 

478,479 

358,840 

16,351 

1,399,855 

4,686 

44,219 

101,656 



247,839 

24,902 

87,873 

3,926 

51,568 
53,812 
64,937 

31,968 

16,626 

334,015 

8,373 

16,444 
130,375 

46,737 

104,459 

200,717 

10,882 

755,704 

6,140 

8,766 

18,161 



6,580 

398 

1,031 

54 

709 

2,064 

813 

404 

823 

3,224 

27 

542 

14,187 

10,109 

14,867 

7,087 

632 

19,788 

44 

557 

1,568 



5,066 

404 

1,244 

99 

737 
1,859 
1,523 

811 

565 
3,936 

992 
1,085 
9,452 

2.838 
1,490 
2,831 

104 
21,838 

103 
1,305 
2,135 



100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 

100.0 

100.0 
100.0 
100.0 
1 00.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
1 00.0 
1 00.0 
100.0 



62.0 
64.7 
65.4 
64.4 

57.2 
74.3 
58.6 

57.6 

76.9 
59.6 
46.7 
63.6 
88.0 

87.8 
79.8 
63.0 
58.5 
63.7 
42.7 
80.6 
82.3 



36.3 

34.2 
33.7 
34.2 

41.6 
24.0 
40.0 

40.8 

21.4 
39.6 
47.5 
33.1 
10.2 

9.6 

17.4 
35.2 
38.9 
34.4 
56,0 
16.0 
14,7 



1.0 



.4 
.9 
.8 
1.1 
.6 
.9 



1.0 



1.0 
.5 
.4 
.5 

.6 
.9 
.5 



1.1 

.4 

.2 

1.1 

1.1 

2.1 
2.5 
1.2 
2.3 
.9 
.4 
1.0 
1.3 



See footnotes at end of table. 



186 



Table 38. — Total Arrests, Distribution by Race, 1988 — Continued 



Arrests under ; ? 



Offense chaiged 



\»."hite 



Black 



.American 
Indian 



Alaskan 
Native 



.Asian 

or 
Pacific 
Islander 



Perceni distnbuuon- 



Total 



White 



Black 



American 
Indian 

or 
.Alaskan 
Native 



Pacific 
Islander 



TOTAL 

Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 

Aggravated at^nh 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 

Violent crime^ 

Property crime^ 

Crime Index total* 

Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property, buying, receiving, 

possessing 

Vandalism 

Weapons; carrying, possessing, etc. ... 

Prostitution and commercialized vice . 
Sex offenses (except forcible rape and 

prostitution) 

Drug abuse violations 

Gambling 

Offenses against family and children . 
Drivmg under the influence 

Liquor laws 

Drtmkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) 

Suspicion 

Curfe« and loitering law violations ... 
Runaways 



1,624.002 1.166_?43 



1,747 
4.010 



6.193 



68.029 
526,899 



594.928 



926 



1,403 

12,528 
75,989 

770 
2,215 
17,567 

123.276 

17,771 

88.478 

2.418 

242,168 

2.160 

54,84- 

123.520 



420 JIS 



720 
1.957 



5.079 



30,954 

372,162 



403.116 



997 
2,005 
15.662 
17,295 



994 



14,194 



23,150 



100.0 



-IJ 



25.9 



20 

78 

271 

1.004 

3,780 



23 

28 

325 

364 

1,553 

6,298 

I.IU 



100.0 
100.0 
100.0 
100.0 

1 00.0 

I'X'.O 



33.5 
53.0 
74.0 

71.4 
58.6 

82.0 



57.1 
50.0 
64.9 
45.4 
23.6 
25.7 
39.0 
16.1 



376 



740 

' 0?5 



1000 



45.5 

■06 



52.9 

26.^ 



176.473 



5.564 



9,775 



29.7 



642 

17,776 
"2.610 
15.990 

853 

8.799 



I. ■^04 
16.615 

1 1 6,468 

16.227 

58.263 

1.897 

174,959 

1.836 



264 

12.956 
15,461 
10.421 

529 

3.520 

32.048 

528 

469 

620 

4.396 

1.153 

29.185 

484 

61,281 

283 

8,766 

18,161 



10 



84 
334 



12 
230 

1,760 

334 

564 

19 

1,469 

22 

55- 

1,56 > 



1.4;; 

61 

'>'>? 

16 

299 

9^: 

372 

11 

125 

519 

80 

30 

102 

652 
57 

466 

18 

4,459 

19 



100.0 
lOO.O 
100.0 
100.0 

100.0 
100.0 
100.0 

100.0 

100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



60.0 
81.6 
51.7 
69.3 



60.8 

702 

56.7 
21.0 
76.9 
94.6 

94.5 
91.3 
65.9 

78.5 
72.2 
85.0 
80.6 
82.3 



J .s 
16.9 
4«.0 
28J 

AIS 
\12 
38.8 

37.7 



.4 
J 
.3 
.7 
.9 
l.I 
.6 



.6 

1.0 



28.1 


.7 


4Z2 


.4 


68 6 




21J2 


.5 


3.5 


L3 


3.6 


1.4 


6J 


1.9 


33.0 


.6 


20.0 


.8 


25J 


.6 


13.1 


1.0 


16.0 


I.O 


14.7 


1.3 



1.4 



IJ 
.7 
IJ 
1.0 
1.4 
1.8 
1.8 
\2 



1.1 

1."' 



1.6 



1.0 
1.8 
1.7 

1.0 
I.l 
1.4 



1.0 

.7 

10.4 

1.4 

.6 

.5 

.3 

JS 

.7 

1.8 

.9 

2.4 

1.7 



See footnotes al end of table. 



187 



Table 38.— Total Arrests, Distribution by Race, 1988— Continued 



OfFense charged 



Arrests 18 and over 



Total 



White 



Black 



American 
Indian 



Alaskan 
Native 



Asian 



Pacific 
Islander 



Percent distribution' 



Total 



White 



Black 



American 
Indian 

or 
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 



8,443,445 



14,343 

24,026 

86,283 

264,183 

219,202 

807.594 

91,179 

8,181 



388,835 
1,126,156 



1,514,991 



586,095 
66,771 

248,264 
10,541 

92,617 
134,640 
135.486 

76.943 

65.342 

768,311 

16,843 

47,428 

1,261,554 

365,717 

581,524 

480,997 

25,551 

1,955,017 

8,813 



5,736,727 



2,556,951 



90,856 



58,911 



100.0 



67.9 



30.3 



6,523 

12,818 

31,993 

153,979 

1 39,096 

509,029 

53,657 

5,480 



7,606 

10,848 

53,468 

105,763 

77,098 

282,819 

36,370 

2,597 



92 

198 

403 

2,572 

1,669 

8,441 

526 

77 



122 

162 

419 

1,869 

1,339 

7,305 

626 

27 



100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



45.5 
53.4 
37.1 
58.3 
63.5 
63.0 
58.8 
67,0 



53.0 

45.2 
62.0 
40.0 
35.2 
35.0 
39.9 
31.7 



205,313 
707,262 



177,685 
398,884 



3,265 
10,713 



2,572 
9,297 



100.0 
100.0 



52.8 
62.8 



45.7 
35.4 



912,575 



576,569 



13,978 



11,869 



100.0 



60.: 



38,1 



365,466 

42,187 

163,965 

6,746 

53,063 
93,930 
79,102 

44,310 

51,057 

460,037 

8,059 

29.868 

1,108,492 

312,841 

462,252 

300,577 

14,454 

1,224,896 

2,850 



211,120 

23,876 

82,300 

3,662 

38,612 
38.352 
54,516 

31,439 

13,106 

301,967 

7,845 

15,975 
129,755 

42,341 
103,306 
171,532 

10,398 

694.423 

5,857 



5,898 

365 

977 

50 

504 
1,471 

717 

394 

739 

2,890 

27 

530 

13,957 

8,349 
14,533 
6,523 
613 
18,319 
22 



3,611 

343 

1,022 

83 

438 

887 

1,151 

800 

440 
3,417 

912 
1,055 
9,350 

2,186 
1,433 
2,365 

86 
17,379 

84 



100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 

100.0 

100.0 
100,0 
100,0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



62.4 
63.2 
66.0 
64.0 

57.3 
69.8 
58,4 

57.6 

78.1 
59.9 
47.8 
63.0 
87.9 

85.5 
79.5 
62.5 
56.6 
62.7 
32.3 



36.0 
35.8 
33.2 
34.7 

41.7 
28.5 
40.2 

40.9 

20.1 
39.3 
46.6 
33.7 
10.3 

11.6 
17,8 
35.7 
40.7 
35.5 
66.5 



.5 
1.0 

.8 
1.0 

.6 

.9 



1.0 



1.0 

.5 
.4 
.5 

.5 
1.1 

.5 



1.1 

,4 

.2 

1.1 

1.1 

2.3 
2.5 
1.4 
2.4 
.9 
.2 



.6 
.5 

.4 



.5 
.7 
.8 

1.0 

.7 

.4 

5.4 

2.2 

.7 

.6 
.2 
.5 
.3 
.9 
I.O 



'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. 



188 



able 39.— City Arrest Trends, 1987-1988 

5,077 agencies; 1988 estimated population 120,357,000] 



Offense charged 



Number of persons arrested 



Total all ages 



1987 



1988 



Percent 
change 



Under 18 years of age 



1987 



1988 



Percent 
change 



18 years of age and over 



1987 



1988 



Percent 
change 



TOTAL 



-lurder and nonnegligent manslaughter 

orcible rape 

lobbery 

aggravated assault 

lurglary 

jrceny-theft 

<otor vehicle theft 

kTSon 



Violent crime' . 
Property crime' 



Crime Index total* 



)ther assaults 

'orgery and counterfeiting 

•raud 

Embezzlement 

Itolen property; buying, receiving, possessing 

Vandalism 

Veapons; carrying, possessing, etc 



Prostitution and commercial vice 

>ex offenses (except forcible rape and 

prostitution) 

Drug abuse violations 

3ambling 

Dffenses against family and children . 
Driving under the influence 



Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) .. 
Suspicion (not included in total) ... 
Curfew and loitering law violations 
Runaways 



7,357,251 



11,149 

20.619 

91.603 

200.839 

236.872 

923,204 

100,303 

9,688 



324,210 
1,270,067 



1,594,277 



485.752 
50,374 

142,397 

6,427 

84,832 

169,257 

118.360 

79,419 

56,704 

565,605 

18,037 

21,850 

775,875 

344,851 

517,477 

478,714 

29,317 

1,675,506 

8,859 

51,277 

90,943 



7,435,084 



1,293,751 



1,294,149 



(1) 



6,063,500 



6,140,935 



11,977 

20.497 

94,366 

224,153 

237,547 

937,541 

120.046 

10,254 



350,993 
1,305,388 



1,656,381 



521,469 
51,022 

134,243 

7,278 

93,356 

172,289 

125,815 

74,087 

55.801 

649.872 

14,961 

24,364 

745,843 

354,919 

473,056 

473,435 

26,792 

1,638,932 

9,759 

49,526 

91,643 



+7.4 

-.6 

+3.0 

+ 11.6 

+.3 

+ 1.6 

+ 19.7 

+5.8 



1.200 

3.417 

21,182 

26,792 

84,057 

294,162 

41.155 

4,300 



1,444 

3.162 

21,477 

30,658 

81,064 

289,707 

49,616 

4,703 



+20.3 
-7.5 
+ 1.4 
+ 14.4 
-3.6 
-1.5 
+20.6 
+9.4 



9,949 

17,202 

70,421 

174,047 

152,815 

629,042 

59.148 

5,388 



10,533 

17.335 

72.889 

193.495 

156,483 

647,834 

70,430 

5,551 



+8.3 
+2.8 



52,591 
423,674 



56,741 
425,090 



+7,9 
+.3 



271,619 
846,393 



294,252 
880,298 



+3.9 



476,265 



481.831 



+ 1.2 



1,118,012 



1,174,550 



+7.4 

+ 1.3 

-5.7 

+ 13.2 

+ 10.0 

+ 1.8 

+6.3 

-6.7 

-1.6 
+ 14.9 
-17.1 
+ 11.5 

-3.9 

+2.9 
-8.6 
-1.1 
-8.6 
-2.2 
+10.2 
-3.4 
+.8 



'Less than one-tenth of one percent. 

'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 
'Property cnmes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 
^Includes arson. 



73,928 
4,976 
16,777 
670 
22,950 
69,988 
19,918 

1,629 

9,206 

56,863 

748 

1,923 
11,824 

91,501 
15,601 

72,578 

1,835 

202,351 

1,686 

51,277 

90,943 



79,266 
4,707 
10,694 
793 
24,968 
69,306 
22,387 

1,276 

9,192 

62,980 

696 

1,754 
10,928 

88,889 
14,268 
75,156 

1,958 
191,931 

1,742 
49,526 
91,643 



+7.2 

-5.4 

-36.3 

+ 18.4 

+8.8 

-1.0 

+ 12.4 

-21.7 

-.2 

+ 10.8 

-7.0 

-8.8 

-7,6 

-2.9 
-8.5 
+3,6 
+6,7 
-5,1 
+3,3 
-3.4 
+.8 



411,824 
45.398 

125,620 
5,757 
61,882 
99,269 
98,442 

77,790 

47,498 

508,742 

17,289 

19,927 

764,051 

253,350 

501,876 

406,136 

27,482 

1,473,155 

7,173 



442,203 
46,315 

123,549 

6,485 

68,388 

102,983 

103,428 

72,811 

46,609 

586,892 

14,265 

22,610 

734,915 

266,030 

458,788 

398,279 

24,834 

1,447,001 

8,017 



+1.3 



+5,9 
+,8 

+3,5 
+ 11,2 

+2,4 

+3,0 
+ 19,1 

+3,0 



+8,3 
+4.0 



+5.1 



+7,4 

+2,0 

-1.6 

+ 12.6 

+ 10,5 

+3,7 

+5,1 

-6,4 

-1.9 

+ 15.4 

-17.5 

+ 13.5 

-3.8 

+5.0 
-8.6 
-1.9 
-9.6 
-1.8 
+ 11,8 



189 



Table 40.— City Arrest Trends, Sex, 1987-1988 

[6,077 agencies; 1981 estimated population 120,357,000) 





Males 


Females 


Offense charged 


Total 


Under 18 


Total 


Under 18 




1987 


1988 


Percent 
change 


1987 


1988 


Percent 
change 


1987 


1988 


Percent 
change 


1987 


1988 


Percent 
change 


TOTAL 


6,033,660 


6,091,417 


+ 1.0 


1,001,395 


1,009,358 


+.8 


1,323,591 


1,343,667 


+1.5 


292,356 


284,791 


-2.6 






Murder and nonnegligent 


9,796 

20.370 

84.009 

173,546 

216,898 

630,518 

90,638 

8,363 


10,589 

20,246 

86,267 

193,684 

216,994 

646,703 

108,076 

8,901 


+8.1 
-.6 

+2.7 

+ 11.6 

(1) 

+2.6 
+ 19.2 

+6.4 


1.109 

3.335 

19,698 

22,658 

77,727 

212,613 

36,902 

3,866 


1,354 

3,096 

19,859 

25,964 

74,950 

211,774 

44.638 

4,257 


+22.1 
-7.2 
+.8 

+ 14.6 

-3.6 

-.4 

+21.0 

+ 10.1 


1,353 

249 

7,594 

27.293 

19.974 

292,686 

9,665 

1,325 


1,388 

251 

8,099 

30,469 

20,553 

290,838 

11,970 

1,353 


+2.6 

+.8 

+6.6 

+ 11.6 

+2.9 

-.6 

+23.8 

+2.1 


91 

82 

1.484 

4.134 

6.330 

81,549 

4,253 

434 


90 

66 

1,618 

4.694 

6,114 

77,933 

4,978 

446 


-1.1 




-19.5 




+9.0 




+ 13.5 




-3.4 




-4.4 




+ 17.0 




+2.8 








287,721 
946,417 


310,786 
980,674 


+8.0 
+3.6 


46,800 
331,108 


50,273 
335,619 


+7.4 
+ 1.4 


36,489 
323,650 


40,207 
324,714 


+ 10.2 
+.3 


5,791 
92.566 


6,468 
89,471 


+ 11.7 




-3.3 








1,234,138 


1,291,460 


+4.6 


377,908 


385.892 


+2.1 


360,139 


364,921 


+ 1.3 


98,357 


95,939 


-2.5 






Other assaults 


412,063 

32,898 

86,317 

3,751 

74,837 
151,049 
109,069 

25,083 

52,025 

481,182 

15,640 

16.044 

681.131 

284.281 

470,751 

387,264 

26,290 

1,414,322 

7,579 

37,215 

38,310 


441,533 

33,592 

78,264 

4,303 

82.193 
153.271 
115.812 

23,256 

51,240 

549,421 

12,727 

18,243 

652,623 

290,679 

429,235 

387,051 

23,839 

1,376,355 

8.261 

36.281 

40.039 


+7.2 
+2.1 
-9.3 

+ 14.7 

+9.8 
+ 1.5 
+6.2 

-7.3 

-1.5 
+ 14.2 
-18.6 
+ 13.7 

-4.2 

+2.3 
-8.8 
-.1 
-9.3 
-2.7 

+9.0 
-2.5 

+4.5 


56,833 

3,266 

12,563 

423 

20,798 
63,679 
18,509 

513 

8,608 

49,547 

710 

1,148 
10,186 

66,927 
13,119 
58,850 

1,513 
160,770 

1,367 
37,215 
38,310 


60,739 

3,177 

8,124 

440 

22,553 
63,094 
20,921 

470 

8,559 

55,273 

658 

1,072 

9,441 

65,148 
12,035 
61,084 

1,655 
152,703 

1,429 
36,281 
40,039 


+6.9 

-2.7 

-35.3 

+4.0 

+8.4 

-.9 

+ 13.0 

-8.4 

-.6 

+ 11.6 

-7.3 

-6.6 

-7.3 

-2.7 

-8.3 
+3.8 
+9.4 

-5.0 
+4.5 

-2.5 
+4.5 


73,689 

17,476 

56,080 

2,676 

9,995 
18,208 
9,291 

54,336 

4,679 

84,423 

2,397 

5,806 

94,744 

60,570 

46,726 

91,450 

3,027 

261,184 

1,280 

14,062 

52,633 


79,936 

17,430 

55,979 

2,975 

11,163 
19,018 
10,003 

50,831 

4.561 

100.451 

2.234 

6.121 

93.220 

64,240 

43,821 

86,384 

2,953 

262.577 

1.498 

13,245 

51,604 


+8.5 

-.3 

.2 

+ 11.2 

+ 11.7 
+4.4 
+7.7 

-6.5 

-2.5 
+ 19.0 
-6.8 
+5.4 
-1.6 

+6.1 
-6.2 
-5.5 
-2.4 
+.5 
+ 17.0 
-5.8 
-2.0 


17,095 
1,710 
4,214 

247 

2,152 
6,. 309 
1,409 

1,116 

598 

7,316 

38 

775 
1,638 

24,574 
2,482 
13,728 

322 
41,581 

319 
14,062 
52,633 


18,527 

1,530 

2,570 

353 

2,415 
6,212 
1,466 

806 

633 

7,707 

38 

682 

1,487 

23,741 
2,233 
14,072 

303 
39,228 

313 
13,245 
51,604 


+8.4 




-10.5 




-39.0 


Embezzlement 


+42.9 


Stolen property; buying, receiving, 


+ 12.2 




-1.5 


Weapons; carrying, possessing, etc 

Prostitution and commercialized vice . . 
Sex offenses (except forcible rape and 


+4.0 
-27.8 
+5.9 




+5.3 






Offenses against family and children 


-12.0 
-9.2 




-3.4 




-10.0 




+2.5 


Vagrancy 


-5.9 


All other offenses (except traffic) 

Suspicion (not included in totals) 

Curfew and loitering law violations . . . . 
Runaways 


-5.7 
-1.9 
-5.8' 
-2.0 







'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. 



190 



able 41. — City Arrests, Distribution by Age, 1988 

5,919 agencies; 1988 estimated population 129,470,000] 



Offense charged 



TottI 
all ages 



Ages 

under 

15 



Ages 

under 

18 



Ages 

18 and 

over 



Age 



Under 
10 



10-12 



13-14 



16 



17 



19 



20 



TOTAL 

Percent distribution* 

lurder and nonegligent manslaughter 

orcible rape 

.obbery 

.ggravated assault 

urglary 

arceny-lheft 

lotor vehicle theft 

.rson 

Violent crime^ 

Percent distribution' 

Property cnme^ 

Percent distribution' 

Crime Index total* 

Percent distnbution' 

^ther assaults 

drgery and counterfeiting 

raud 

mbezzlement 

tolen property; buying, receiving, 

possessing 

'andalism 

Veapons; carrying, possessing, etc. ... 

'rostitution and commercialized vice 
■ex offenses (except forcible rape and 

prostitution) 

)rug abuse violations 

jambling 

)frenses against family and children . 
j^riving under the influence 

-iquor laws 

drunkenness 

disorderly conduct 

/agrancy 

Ul other offenses (except traffic) . . . , 

suspicion 

Turfew and loitering law violations . 
Runaways 



7,938,517 
100.0 



12,575 

21,941 

99,438 

240,212 

251,502 

999,521 

124,962 

10,872 



374,166 

100.0 

1.386,857 

100.0 



1,761,023 
100.0 



550,997 

54,730 

141,021 

7,791 

100,738 
183,117 
133.557 

75,586 

59,559 

686,841 

15,496 

27,579 

805,047 

384,143 

500,891 

513,303 

27,207 

1,750,234 

9,951 

52,427 

97,279 



456,722 
5.8 



1,381,909 
17.4 



6,556,608 
82.6 



39,384 

.5 



114,738 
1.4 



302,600 
3.8 



248,476 
3.1 



305,246 
3.8 



371,465 

4.7 



397,218 
5.0 



379,932 
4.8 



172 

1,123 

6,066 

9,719 

33,842 

137,986 

13,566 

3,383 



1,514 

3,372 

22,535 

32,769 

85,869 

309,869 

51,838 

4.986 



11,061 

18,569 

76,903 

207,443 

165,633 

689,652 

73,124 

5,886 



6 

80 
217 
666 
3,408 
13,198 
239 
975 



24 
223 
1,241 
2,282 
9,125 
42.351 
1,697 
1,035 



142 

820 

4,608 

6.771 

21,309 

82,437 

11,630 

1,373 



242 

662 

4,484 

6,003 

15,596 

52,760 

12,207 

637 



393 

743 

5,630 

7,669 

17,648 

57,803 

13,245 

479 



707 

844 

6,355 

9,378 

18,783 

61,320 

12,820 

487 



765 

934 

6,419 

9,436 

17,449 

54,648 

9,552 

366 



745 
878 
5,843 
9,200 
14,070 
44,689 
7,305 



17,080 

4.6 

188,777 

13,6 



60,190 

16.1 

452,562 

32.6 



313,976 
83.9 

934,295 
67.4 



969 

.3 

17,820 

1.3 



3,770 

1.0 

54,208 

3.9 



12,341 

3.3 

116,749 

8.4 



11,391 
3.0 

81.200 
5.9 



14,435 
3.9 

89,175 
6.4 



17,284 
4.6 

93,410 
6.7 



17,554 
47 

82,015 
5.9 



16.666 
4.5 

66,352 
4.8 



205,857 

11.7 



512,752 
29.1 



1,248,271 
70.9 



18.789 
1.1 



57,978 
3.3 



129,090 
7.3 



92,591 

5.3 



103.610 
5.9 



110,694 
6.3 



99.569 
5.7 



83,018 
4.7 



31,828 

795 

4,581 

106 

7,042 

36,928 

6,222 

135 

4,955 

8,899 

107 

635 

286 

7.147 

1.729 

23,417 

556 

59,502 

604 

14,587 

40,804 



84.003 

5,027 

10,948 

822 

27,062 
73,679 
23,911 

1.324 

9,792 

67,040 

721 

1,962 
11,920 

96,968 

15,131 

80,503 

2,017 

204,785 

1,836 

52,427 

97,279 



466,994 

49,703 

130,073 

6,969 

73,676 
109.438 
109,646 

74,262 

49,767 

619,801 

14,775 

25,617 

793,127 

287,175 

485,760 

432,800 

25,190 

1,545,449 

8,115 



2,582 
32 



274 

6,223 

305 

12 

510 
175 
4 
155 
117 

159 

117 

1,803 

35 

5,908 

34 

317 

1,744 



8,801 
151 
898 

23 

1,346 

11,735 

1,291 

19 

1,391 

910 

13 

109 

30 

544 

147 
5,714 

103 
13,600 

156 
2,254 
7,525 



20,445 

612 

3,597 

80 

5,422 
18,970 
4,626 

104 

3,054 

7,814 

90 

371 

139 

6,444 

1,465 

15,900 

418 

39,994 

414 

12.016 

31,535 



14,954 

786 

3,446 

73 

5,419 
11,869 
4,420 

167 

1,612 

11,273 

164 

430 

458 

12,496 
2,231 
13,904 

391 
34,429 

381 
12,029 
24,953 



17.024 

1,319 

1,033 

234 

6,450 
12,253 
5,751 

308 

1,518 

18,747 

194 

453 

2,922 

28,169 
4,008 
18,256 

449 
46,806 

468 
14,370 
20,904 



20,197 

2,127 

1,888 

409 

8,151 
12,629 
7,518 

714 

1,707 

28,121 

256 

444 

8,254 

49,156 

7,163 

24,926 

621 
64,048 

383 
11,441 
10,618 



19,942 

2,694 

3,354 

496 

8,035 
10,356 
8,207 

1,990 

1,795 

36,154 

300 

824 

18,920 

63,448 
12,766 
26,931 
1,025 
80,102 
310 



20,369 

2,976 

4,955 

526 

6,692 
8,118 
7,241 

3,043 

1,762 

36,513 

282 

830 

24,258 

56,010 
13,786 
25,475 
1,040 
82,678 
360 



353,247 
4,4 



690 

875 

5,089 

9,179 

11.551 

36,806 

5.775 

274 



15.833 
4.2 

54,406 
3.9 



70,239 
40 



20,706 

2,966 

5,599 

520 

5,310 
7,006 
6,352 

3,402 

1,782 

35,710 

309 

985 

27.104 

42,022 
14,431 
24,872 

909 
82,652 

371 



See footnotes at end of table. 



191 



Table 41. — City Arrests, Distribution by Age, 1988 — 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 distribudoni 



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 



336,619 

4.2 



637 

853 

4,915 

9,583 

9,996 

33,379 

4,946 

261 



15,988 
4.3 

48,582 
3.5 



64,570 
3.7 



22,985 

2,787 

5,876 

446 

4,639 
6,788 
6,177 

3,773 

1,872 

35,182 

283 

1,120 
35,648 

14,673 
18,132 
26,386 

902 
84,013 

367 



326,630 
4.1 



325,420 
4.1 



324,349 
4.1 



1,432,935 
18.1 



1,059,072 
13.3 



670,235 
8.4 



384,647 
4.8 



221,010 
2.8 



135,375 

1.7 



90,493 



58,032 

.7 



639 

874 

4,856 

9,732 

9,558 

31,804 

4,502 

301 



576 

997 

4,674 

10,168 

8,885 

31,021 

4,012 

299 



503 

927 

4,561 

10,207 

8,905 

30,510 

3,760 

266 



2,310 

4,397 

18,936 

47,651 

36,655 

137,649 

14,945 

1,270 



1,529 

3,300 

11,805 

36,766 

24,694 

110,303 

9,366 

924 



1,073 

2,009 

5.660 

23,279 

13,481 

72,532 

4,937 

662 



630 

1.144 

2,427 

13,613 

5,650 

39.897 

2,167 

369 



374 

605 

949 

7,697 

2,449 

22,229 

966 

239 



193 

308 

378 

4.589 

1,152 

14,309 

421 

146 



149 

221 

192 

2,806 

607 

10,719 

237 

90 



89 

121 

100 

1,703 

259 

7,854 
113 
75 



16,101 
4.3 

46.165 
3.3 



16,415 

4.4 

44,217 

3.2 



16,198 
4.3 

43,441 
3.1 



73,294 

19.6 

190,519 

13.7 



53,400 

14.3 

145,287 

10.5 



32,021 
8.6 

91,612 
6.6 



17,814 
4.8 

48,083 
3.5 



9,625 

2.6 

25,883 

1.9 



5.468 

1.5 

16.028 

1.2 



3,368 

.9 

11,653 



2,013 
.5 

8,301 
.6 



62,266 
3.5 



60,632 
3.4 



59,639 
3.4 



263,813 
15.0 



198,687 
11.3 



123,633 
7.0 



65,897 
3.7 



35,508 
2.0 



21,496 
1.2 



15,021 
.9 



10,314 
.6 



23,492 

2,585 

6,193 

384 

4,158 
6,267 
5,900 

4,490 

2,001 

35,400 

297 

1,146 
35,926 

10,997 
17,840 
24,698 

951 
81,215 

424 



24,343 

2,606 

6,556 

383 

3,858 
6,061 
5,661 

4,964 

2,024 

35,393 

334 

1,122 
37,692 

9,517 
18,228 
23,680 

839 
81,093 

434 



24,842 

2,623 

6,577 

366 

3,634 
5,783 
5,469 

4,922 

2,193 

35,314 

393 

1,273 
38,915 

8,213 
18,499 
23,401 

874 
80,996 

423 



114,392 

11,774 

30,517 

1.447 

14,753 
24,587 
22,801 

22,293 

10,405 

154,762 

1,904 

5,909 

180,006 

29,087 

92,007 

95,015 

4,661 

350,807 

1,995 



82,773 

9,125 

24,157 

984 

10,498 
15,909 
16,430 

13,572 

8,456 

108,280 

1,884 

5,154 

135,268 

18,607 
82,062 
66,172 

4,227 
255,294 

1,533 



50,036 

5,074 

16,719 

633 

6,057 
8,872 
10,274 

5,993 

6,086 

59,470 

1,741 

3,438 

92,460 

12,363 

63,207 

39,876 

3,548 

159,789 

966 



27,950 

2,348 

9.432 

371 

2,895 
4,514 
6,000 

2,690 

4,176 

26,668 

1,628 

1,831 

61,773 

8,024 
43,596 
22,997 

2,309 

89,067 

481 



15,449 

1,103 

4,622 

220 

1,472 
2,263 
3,591 

1,323 

2,484 
11,334 

1,487 

918 

39,889 

5,241 
30,510 
13,275 

1,600 

48,513 

208 



8.387 
524 

2,396 
101 

744 
1.202 
2,204 

720 

1,632 

5.031 

1,246 

468 

25,954 

3,529 

22,131 

7,950 

896 

28,647 

117 



4,988 

261 

1,325 

50 

459 

731 

1,453 

434 

1,216 

2,508 

1,042 

274 

17,759 

2,418 
16,955 
5,043 
658 
17,831 
67 



3,013 

127 

735 

25 

242 
422 
902 

331 

875 

1,164 

793 

151 

11,576 

1,581 

11,292 

3,423 

390 

10,651 

25 



61,394 



159 

126 

99 

1.834 

272 

11,303 

120 

56 



2,218 

.6 

11.751 



13,969 



3,327 

130 

1,060 

17 

230 
559 
984 

322 

1,008 
918 
852 
174 

9,979 

1,445 

10,318 

3,606 

361 

12,101 

34 



'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. 



192 



Table 42.— City Arrests of Persons under 15, 18, 21, and 25 Years of Age, 1988 

[6,919 agencies; 1988 eslimated population 129.470,000] 



Offense charged 



ToUl 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-lhefl 

Motor vehicle thefl 

Arson 

Violent crime' 

Property crime^ 

Crime Index totaP 

Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, possessing 

Vandalism 

Weapons; carrying, possessing, etc 

Prostitution and commercialized vice 

Sex offenses (excep' 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 



7,938,517 



12,575 

21.941 

99.438 

240.212 

251.502 

999.521 

124.962 

10.872 



374,166 
1,386,857 



1,761,023 



550,997 
54,730 
141,021 
7.791 
100,738 
183,117 
133,557 

75,586 
59,559 

686,841 
15,496 
27,579 

805.047 

384.143 

500.891 

513,303 

27.207 

1,750.234 

9.951 

52.427 

97,279 



456,722 



1,381,909 



2,512,306 



3,825,324 



5.8 



17.4 



172 

1,123 

6.066 

9,719 

33.842 

137.986 

13.566 

3.383 



1.514 

3.372 

22.535 

32,769 

85,869 

309,869 

51,838 

4,986 



3,714 

6,059 

39,886 

60,584 

128,939 

446,012 

74,470 

5,914 



6,069 

9,710 

58,892 

100,274 

166,283 

572,726 

91,690 

7,041 



1.4 

5.1 

6.1 

4.0 

13.5 

13.8 

10.9 

31.1 



12.0 
15.4 
22.7 
13.6 
34.1 
31.0 
41.5 
45.9 



17,080 
188,777 



60,190 

452,562 



110,243 
655,335 



174,945 
837,740 



4.6 
13.6 



16.1 
32.6 



205,857 



512,752 



765,578 



1.012,685 



11.7 



29.1 



31.828 

795 

4,581 

106 

7,042 

36,928 

6,222 

135 
4,955 
8,899 
107 
635 
286 

7,147 

1,729 

23.417 

556 

59,502 

604 

14,587 

40,804 



84,003 
5.027 
10.948 
822 
27.062 
73.679 
23,911 

1,324 
9,792 

67,040 

721 

1,962 

11,920 

96,968 

15,131 

80,503 

2,017 

204,785 

1.836 

52.427 

97.279 



145,020 
13,663 
24,856 
2,364 
47,099 
99,159 
45,711 

9.759 

15.131 

175.417 

1.612 

4,601 

82.202 

258.448 

56.114 

157,781 

4,991 

450,217 

2,877 

52,427 

97,279 



240.682 

24.264 

50.058 

3.943 

63.388 

124.058 
68.918 

27.908 

23.221 

316.706 

2.919 

9.262 

230.383 

301.848 

128,813 

255,946 

8,557 

777,534 

4,525 

52,427 

97,279 



5.8 
1.5 
3.2 
1.4 
7.0 
20.2 
4.7 

.2 
8.3 
1.3 

.7 
2.3 
(4) 

1,9 

.3 

4.6 

2.0 

3.4 

6.1 

27.8 

41.9 



15.2 
9.2 
7.8 
10.6 
26.9 
40.2 
17,9 

1.8 
16,4 
9,8 
4,7 
7.1 
1.5 

25.2 

3,0 

15,7 

7.4 

11.7 

18.5 

100.0 

100.0 



31.6 



29.5 
27.6 
40.1 
25.2 
51.3 
44.6 
59.6 
54.4 



29.5 
47.3 



43.5 



26.3 
25.0 
17.6 
30.3 
46.8 
54.2 
34.2 

12,9 
25.4 
25.5 
10.4 
16.7 
10.2 

67.3 
11.2 
30 7 
18.3 
25.7 
28.9 
100.0 
100.0 



48.2 



48.3 
44.3 
59.2 
41.7 
66.1 
57.3 
73.4 
64,8 



46.8 
60.4 



57.5 



43.7 
44.3 
35.5 
50.6 
62.9 
67.7 
51.6 

36.9 
39.0 
46.1 
18.8 
33.6 
28.6 

78.6 
25.7 
49.9 
31.5 
44.4 
45,5 
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 Ihei^, and arson, 
^Includes arson, 
*Lcss than one-tenth of 1 percent. 



193 



Table 43.— City Arrests, Distribution by Sex, 1988 

[6,919 agencies; 1988 estimated population 129,470,000] 



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-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 

Curfew and loitering law violations 

Runaways 



7,938,517 



12,575 

21,941 

99,438 

240,212 

251,502 

999,521 

124,962 

10,872 



374,166 
1,386,857 



1,761,023 



550,997 
54,730 
141,021 
7,791 
100,738 
183,117 
133,557 

75,586 
59,559 

686,841 
I 5,496 
27,579 

805,047 

384,143 

500,891 

513,303 

27,207 

1,750,234 

9,951 

52,427 

97,279 



6,506,780 



1,431,737 



82.0 



18.0 



100.0 



11.110 

21.679 

90,980 

207,012 

230,014 

690,231 

112,491 

9,449 



1,465 

262 

8,458 

33,200 

21.488 

309,290 

12,471 

1,423 



88.3 
98.8 
91,5 
86.2 
91.5 
69.1 
90.0 
86.9 



11.7 

1.2 

8.5 

13.8 

8.5 

30.9 

10.0 

13.1 



.2 

.3 

1.3 

3.0 

3.2 

12.6 

1.6 

.1 



330,781 
1,042,185 



43,385 
344,672 



88.4 
75.1 



11.6 
24.9 



4.7 
17.5 



1.372.966 



388,057 



78.0 



22.0 



466,452 

36,115 

82,472 

4,629 

88.744 

162,926 

122.910 

23,772 
54,654 

581,706 
13,224 
20,845 

704,125 

314,417 

454,330 

418,989 

24,202 

1,470,007 

8,422 

38,345 

42,528 



84,545 
18,615 
58,549 
3,162 
11,994 
20.191 
10.647 

51,814 
4,905 

105.135 
2.272 
6,734 

100.922 

69,726 

46,561 

94,314 

3,005 

280,227 

1,529 

14,082 

54,751 



84.7 
66.0 
58.5 
59.4 
88.1 
89.0 
92.0 

31.5 
91.8 
84.7 
85.3 
75.6 
87.5 

81.8 
90.7 
81.6 
89.0 
84.0 
84.6 
73.1 
43.7 



15.3 
34.0 
41.5 
40.6 
11.9 
11.0 
8.0 

68.5 
8.2 
15.3 
14.7 
24.4 
12.5 

18.2 
9.3 
18.4 
11.0 
16.0 
15.4 
26.9 
56.3 



6.9 
.7 
1.8 
.1 
1.3 
2.3 
1.7 

1.0 

.8 

8.7 

.2 

.3 

10.1 

4.8 

6.3 

6.5 

.3 

22.0 

.1 

.7 

1.2 



100.0 



.2 

.3 

1.4 

3.2 

3.5 

10.6 

1.7 

.1 



5.1 
16.0 



7.2 
.6 
1.3 
.1 
1.4 
2.5 
1.9 



8.9 

.2 

.3 

10.8 

4.8 

7.0 

6.4 

.4 

22.6 

.1 

.6 

.7 



'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. 



194 



lable 44. — City Arrests, Distribution by Race, 1988 

..,891 agencies; 1988 estimated population 128,522,000] 



Offense charged 



Total arrests 



Total 



White 



Black 



American 
Indian 



Alaskan 
Native 



Asian 

or 
Pacific 
Islander 



Percent distribution' 



Total 



White 



Black 



American 
Indian 



Alaskan 
Native 



Pacific 
Islander 



TOTAL 

[urder and nonnegligent manslaughter 

Drcible rape 

obbery 

;^ravated assault 

urglary 

irceny-thef^ 

iotor vehicle theft 

rson 

Violent crime^ 

Property crime' 

Crime Index total* 

ther assaults 

jrger> and counterfeiting 

■aud 

-nbezzlement 

olen property; buying, receiving, 

possessing 

andalism 

'capons; carrying, possessing, etc. . . . 

i restitution and commercialized vice . 
:x offenses (except forcible rape and 

prostitution) 

'rug abuse violations 

ambling 

ffenses against family and children . 
•riving under the influence 

iquor laws 

•runkenness 

lisorderly conduct 

agrancy 

II other offenses (except trafTic) 

uspicion 

urfew and loitering law violations . . . 
-unaways 



7,869,070 



12.356 

21.518 

98.535 

238,178 

249,773 

994,206 

123,733 

10,749 



370,587 
1,378,461 



1,749.048 



546,463 

54,230 

140,589 

7,599 

99,563 
181,886 
132,474 

75,156 

59,221 

681,504 

15,020 

26,270 

799,238 

380,916 

494.825 

509,352 

25,896 

1,731,714 

9,921 

51,956 

96,229 



5,137,436 



2.583,330 



79,663 



68.641 



100.0 



65.3 



32.8 



4,567 

10,099 

33,877 

127.545 

157,410 

639,381 

67,941 

7.456 



7,610 

11,121 

63,564 

106.859 

88,254 

331,700 

53.742 

3,117 



64 

138 

406 

1,858 

1,757 

10,995 

607 

89 



115 
160 

688 
1,916 

2,352 

12.130 

1,443 

87 



100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



37.0 
46.9 
34.4 
53.6 
63.0 
64.3 
54.9 
69.4 



61.6 

51.7 
64.5 
44.9 
35.3 
33.4 
43.4 
29.0 



176,088 
872.188 



189,154 
476.813 



2,466 
13,448 



2,879 
16,012 



100.0 
100.0 



47.5 
63.3 



51.0 
34.6 



1,048,276 



665.967 



15,914 



18,891 



100.0 



59.9 



38.1 



318,695 

33,995 

87,810 

4,787 

53.495 

129,837 

72,161 

42,983 

43,313 

377,547 

6,301 

16,293 
694,863 

330.442 

386,270 

310,447 

14,689 

1,041,862 

3,845 

42,091 

77,434 



218,640 

19,594 

51,248 

2.713 

44.919 
48.908 
58,406 

31,024 

14,802 

298,600 

7,825 

8,639 

89,450 

39,647 

94,864 

190,735 

10,507 

656,094 

5,958 

8,633 

16,157 



4,808 

288 

474 

27 

514 

1,541 

589 

376 

618 

2,084 

21 

351 
8,673 

8,618 

12,443 

5,538 

619 

14,733 

21 

419 

994 



4,320 

353 

1,057 

72 

635 
1.600 
1.318 

773 

488 

3,273 

873 

987 

6,252 

2,209 

1,248 

2,632 

81 

19,025 

97 

813 

1.644 



100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 

100.0 

100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



58.3 
62.7 
62.5 
63.0 

53.7 
71.4 
54.5 

57.2 

73.1 
55.4 
42.0 
62.0 
86.9 

86.7 
78.1 
60.9 
56.7 
60.2 
38.8 
81.0 
80.5 



40.0 
36.1 
36.5 

35.7 

45.1 
26.9 
44.1 

41.3 

25.0 
43.8 
52.1 
32.9 
11.2 

10.4 
19.2 
37.4 
40.6 
37.9 
60.1 
16.6 
16.8 



.5 
.6 
.4 
.8 
.7 
1.1 
.5 



.7 
1.0 



1.0 
.3 
.1 
1.3 
1.1 

2.3 

2.5 

1.1 

2.4 

.9 

.2 

.8 

1.0 



.9 
.7 
.7 
.8 
.9 
1.2 
1.2 



1.2 



.7 
.8 
.9 

.6 

.9 

1.0 

1.0 



.5 
5.8 
3.8 



.6 
.3 
.5 
.3 
1.1 
1.0 
1.6 
1.7 



See footnotes at end of table. 



195 



Table 44. — City Arrests, Distribution by Race, 1988 — Continued 



OfTense charged 



Arrests under 18 



Total 



While 



Black 



American 
Indian 



Alaskan 
Native 



Asian 

or 
Pacific 
Islander 



Percent distribution' 



Total 



White 



Black 



American 
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 



1,371,881 



1,501 

3,267 

22,345 

32,368 

85,246 

308,328 

51,096 

4,964 



59,481 
449,634 



509,115 



83,476 

4,996 

10,925 

799 

26,869 
73,305 
23,805 

1,295 

9,737 

66,166 

717 

1,821 
11,862 

96,309 
15,065 
80,205 

1,985 
203,416 

1,828 
51,956 
96,229 



954,120 



386,979 



11,119 



19,663 



100.0 



69.5 



549 

1,414 

7,211 

16,295 

60,224 

217,190 

28,269 

3,962 



931 
1,819 
14,767 
15,585 
23,139 
82,057 
21,638 

892 



4 

10 

62 

179 

641 

3,432 

263 

43 



17 

24 

305 

309 

1,242 

5,649 

926 

67 



100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



36.6 
43.3 
32.3 
50.3 
70.6 
70.4 
55.3 
79.8 



25,469 
309,645 



33,102 
127,726 



255 
4,379 



655 
7,884 



100.0 
100.0 



42.8 
68.9 



335,114 



160,828 



4,634 



8,539 



100.0 



65.8 



47.933 

4,055 

5,325 

554 

14,697 
57,773 
13,624 

768 

6,350 

35,209 

144 

1,352 
11,153 

90,392 
13,682 
51,362 

1,529 
142,030 

1,549 
42,091 
77,434 



33,815 

866 

5,345 

232 

11,740 
14,266 
9,757 

510 

3,223 

30,301 

509 

433 

472 

3,959 

1,049 

27,985 

422 

56,222 

255 

8,633 

16,157 



499 


1,229 


100.0 


30 


45 


100.0 


46 


209 


100.0 


4 


9 


100.0 


168 


264 


100.0 


424 


842 


1 00.0 


77 


347 


100.0 



52 
264 



7 
160 

1,465 

280 

427 

18 

1.138 

6 

419 

994 



10 

112 

392 

64 

29 

77 

493 

54 

431 

16 

4,026 

18 

813 

1,644 



100.0 

100.0 
100.0 
100,0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



57.4 
81.2 
48.7 
69.3 

54.7 
78.8 
57.2 

59.3 

65.2 
53.2 
20.1 
74.2 
94.0 

93.9 
90.8 
64.0 
77.0 
69.8 
84.7 
81.0 
80.5 



28.2 



62.0 
55.7 
66.1 
48.1 
27.1 
26.6 
42.3 
18.0 



55.7 
28.4 



31.6 



40.5 
17.3 
48.9 
29.0 

43.7 
19.5 
41.0 

39.4 



.3 
.3 
.3 
.6 
.8 
I.I 
.5 
.9 



.4 
10 



33.1 


.5 


45.8 


.4 


71.0 




23.8 


.4 


4.0 


1.3 


4.1 


1.5 


7.0 


1.9 


34.9 


.5 


21.3 


.9 


27.6 


.6 


13.9 


.3 


16.6 


.8 


16.8 


1.0 



See footnotes at end of table. 



196 



lable 44.— City Arrests, Distribution by Race, 1988— Continued 



Ofiense charged 



TOTAL 



lurder and nonnegligent manslaughter 

Drcible rape 

obbery 

ggravated assault 

urglary 

irceny-theft 

iotor vehicle theft 

rson 



Violent crime^ 
Property crime' 



Crime Index total' 



ther assaults 

jrgery and counterfeiting 

•aud 

Tibezrlement 

olen property; buying, receiving, 

possessing 

andalism 

'capons; carrying, possessing, etc. 



rostitution and commercialized vice . 
;x offenses (except forcible rape and 

prostitution) 

'rug abuse violations 

■ambling 

'ffenses against family and children . 
'riving under the influence 



iquor laws 

irunkenness 

■isorderly conduct 

I agrancy 

i Jl other offenses (except traffic) . . 

, uspicion 

' urfew and loitering law violations 
' .unaways 



Arrests 18 and over 



Total 



6,497,189 



10,855 

18,251 

76,190 

205,810 

164,527 

685,878 

72,637 

5,785 



311,106 
928,827 



1,239,933 



462,987 

49,234 

129,664 

6,800 

72,694 
108,581 
108,669 

73,861 

49,484 

615,338 

14,303 

24,449 

787,376 

284,607 

479,760 

429,147 

23,911 

1,528,298 

8,093 



White 



4,183,316 



4,018 

8,685 

26,666 

111,250 

97.186 

422,191 

39,672 

3,494 



150,619 
562,543 



713,162 



270,762 

29,940 

82,485 

4,233 

38,798 
72,064 
58,537 

42,215 

36,963 

342,338 

6,157 

14,941 
683,710 

240,050 
372,588 
259,085 
13,160 
899,832 
2,296 



Black 



2,196,351 



6,679 

9,302 

48,797 

91,274 

65,115 

249,643 

32,104 

2.225 



156,052 
349,087 



505,139 



184,825 

18,728 

45,903 

2,481 

33,179 
34,642 
48,649 

30,514 

11,579 

268,299 

7,316 

8,206 

88,978 

35,688 
93,815 

162,750 
10,085 

599,872 
5,703 



American 

Indian 

or 

Alaskan 
Native 



68,544 



60 

128 

344 

1,679 

1,116 

7,563 

344 

46 



2,211 
9,069 



11,280 



4,309 

258 

428 

23 

346 

1,117 

512 

369 

566 

1,820 

21 

344 
8,513 

7,153 

12,163 

5,111 

601 

13,595 

15 



Pacific 
Islander 



48,978 



98 

136 

383 

1.607 

1,110 

6,481 

517 

20 



2,224 
8,128 



10,352 



3,091 

308 

848 

63 

371 
758 
971 

763 

376 

2,881 

809 

958 

6,175 

1,716 
1,194 
2,201 

65 
14,999 

79 



Percent distribution' 



Total 



100.0 



100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



lOO.O 
100.0 



100.0 



100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 

100.0 

100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



White 



64.4 



37.0 
47.6 
35.0 
54.1 
59.1 
61.6 
54.6 
60.4 



48.4 
60.6 



57.5 



58.5 
60.8 
63.6 
62.3 

53.4 
66.4 
53.9 

57.2 

74.7 
55.6 
43.0 
61.1 
86.8 

84.3 
77.7 
60.4 
55.0 
58.9 
28.4 



Black 



33.8 



61.5 
51.0 
64.0 
44.3 
39.6 
36.4 
44.2 
38.5 



50.2 
37.6 



40.7 



39.9 
38.0 
35.4 
36.5 

45.6 
31.9 
44.8 

41.3 

23.4 
43.6 
51.2 
33.6 
11.3 

12.5 
19.6 
37.9 
42.2 
39.3 
70.5 



American 
Indian 



Alaskan 
Native 



.6 

.7 
.5 
.8 
.7 
1.1 
.5 



.7 
1.0 



.9 
.5 
.3 
.3 

.5 

1.0 

.5 



1.1 

.3 

.1 

1.4 

1.1 

2.5 
2.5 
1.2 
2.5 
.9 
.2 



Asian 

or 
Pacific 
Islander 



.7 
.6 
.7 
.9 

.5 
.7 
.9 

1.0 



.5 
5.7 
3.9 



.6 
.2 
.5 
.3 
1.0 
1.0 



'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. 



197 



Table 45.— Suburban County Arrest Trends, 1987-1988 

[830 agencies; 1988 estimated population 32,584,000] 



Offense charged 



Number of persons arrested 



Total all ages 



1987 



1988 



Percent 
change 



Under 18 years of age 



1987 



1988 



Percent 
change 



18 years of age and over 



1987 



1988 



Percent 
change 



TOTAL 

Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-thef^ 

Motor vehicle theft 

Arson 

Violent crime' 

Property crime^ 

Crime Index totaP 

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 (not included in totals) 

Curfew and loitering law violations 

Runaways 



1,227,562 



2,216 

3,732 

8,643 

35,403 

46,158 

106,262 

16,002 

2,000 



49,994 
170,422 



220,416 



71,543 
10,340 
64,264 
2,280 
14,156 
23,596 
17,536 

4,102 

11,549 

88,609 

1,717 

13,506 

275,603 

48,256 

60,663 

28,131 

1,613 

251,370 

697 

1,107 

17,205 



1,247,397 



+L6 



154,170 



152,918 



1,073,392 



1.094,479 



2,083 

3,686 

8,551 

38,022 

44,625 

105.868 

18,160 

1,962 



-6.0 
-1.2 
-1.1 

+7.4 

-3.3 

-.4 

-1-13.5 

-1.9 



148 

437 

1,293 

3,682 

15,414 

28,937 

5,359 

738 



136 

469 

1,452 

3,895 

14,816 

27,974 

6,210 

736 



-8.1 

-1-7.3 

-M2.3 

4-5.8 

-3.9 

-3.3 

4-15.9 

-.3 



2,068 

3,295 

7,350 

31,721 

30,744 

77,325 

10,543 

1,262 



52,342 
170,615 



-t-4.7 
+.\ 



5,560 
50,448 



5,952 
49,736 



-1-7.1 
-1.4 



44,434 
119,974 



222,957 



-H.2 



56,008 



55,688 



164,408 



76,749 
10.056 
64,585 
2,233 
15,652 
23,797 
18,469 

2,945 

10,956 

95,433 

1,583 

13,386 

258,052 

48,551 

58,860 

30,478 

1,718 

273,746 

464 

1,022 

16,169 



-t-7.3 
-2.7 
+.5 
-2.1 
-1-10.6 
+.9 

+53 

-28.2 
-5.1 

-1-7.7 

-7.8 

-.9 

-6.4 

+.6 
-3.0 
-(-8.3 
4-6.5 
-1-8.9 
-33.4 
-7.7 
-6.0 



8,509 

633 

631 

66 

2,594 

9,762 

2,066 

81 
1,768 
6,701 

27 

197 

3,031 

13,594 

1,741 

4,166 

403 

23,880 

359 

1,107 

17,205 



9,077 

594 

680 

95 

3,012 

9,816 

2,198 

101 

1,722 

6,392 

24 

197 
2.614 

13,018 

1,581 

4,815 

383 

23,720 

188 

1,022 

16,169 



+6.7 

-6.2 

-1-7.8 

-1-43.9 

4-16.1 

4-.6 

4-6.4 

4-24.7 

-2.6 

-4.6 

-11.1 



-13.8 

-4.2 

-9.2 

4-15.6 

-5.0 

-.7 

-47.6 

-7.7 

-6.0 



63,034 
9,707 
63,633 
2,214 
11,562 
13,834 
15,470 

4,021 

9,781 

81,908 

1,690 

13,309 

272,572 

34,662 

58,922 

23,965 

1,210 

227,490 

338 



1,947 

3,217 

7,099 

34,127 

29,809 

77.894 

11,950 

1,226 



46,390 
120,879 



167,269 



67,672 
9.462 
63,905 
2,138 
12,640 
13,981 
16,271 

2,844 
9,234 

89,041 
1,559 

13,189 
255,438 

35,533 

57,279 

25,663 

1,335 

250,026 

276 



4-4.. 

4-. 



4-1. 



4-7. 

-2. 

4-. 

-3. 
4-9. 
4-1. 
4-5. 

-29 

-5 
4-8 
-7 



4-2 
-2 
4-7 
4-10 
4-9 
-18 



'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 
^Properly crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson, 
^includes arson. 



198 



lie 46.— Suburban County Arrest Trends, Sex, 1987-1988 
agencies; 1988 estimated population 32,584,000] 



Offense charged 



Males 



Total 



1987 



1988 



Percent 
change 



Under 18 



1987 



1988 



Percent 
change 



Females 



Total 



1987 



1988 



Percent 
change 



Under 18 



1987 



1988 



Percent 
change 



TOTAL 

rder and nonnegligent manslaughter 

xible rape 

ibbery 

gravated assault 

rglary 

•ceny-theft 

>tor vehicle theft 

ion 

Violent crime' 

Property crime^ 

Crime Index totaP 

(ler assaults 

rgery and counterfeiting 

»ud 

ibezzlement 

lien property; buying, receiving, 

assessing 

ndalism 

apons; carrying, possessing, etc. ... 

Dstitution and commercialized vice . 
n offenses (except forcible rape and 

prostitution) 

•ug abuse violations 

imbling 

Tenses against family and children 
■iving under the influence 

quor laws 

runkenness 

isorderly conduct 

igrancy 

I other offenses (except traffic) 

ispicion (not included in totals) 

jrfew and loitering law violations . . 
unaways 



1,012,458 



1,027,785 



+1.5 



118,970 



119,726 



+.6 



215,104 



219,612 



+2.1 



35,200 



33,192 



1,942 

3,695 

7.972 

31,363 

42,382 

73,888 

14,375 

1,776 



44,972 
132,421 



177,393 



60,879 
6,738 

32,412 
1,546 

12,548 
21,186 
16,419 

1,381 

10,955 

73,754 

1,429 

12,338 

245.181 

38,741 

54,755 

23,476 

1.289 

211,382 

627 

788 

7,868 



1,795 

3,638 

7,868 

33,585 

40,877 

74,058 

16,314 

1,709 



-7.6 
-1.5 
-1.3 
+7.1 
-3.6 
+.2 
+ 13.5 
-3.8 



132 

426 

1,204 

3.212 

14,224 

21,519 

4,713 

670 



126 

459 

1,347 

3,411 

13,711 

21.066 

5,539 

674 



-4.5 

+7.7 

+ 11.9 

+6.2 

-3.6 

-2.1 

+ 17.5 

+.6 



274 

37 

671 

4,040 

3,776 

32,374 

1,627 

224 



288 

48 

683 

4,437 

3,748 

31.810 

1,846 

253 



+5.1 

+29.7 

+1.8 

+9.8 

-.7 

-1.7 

+ 13.5 

+ 12.9 



16 

11 

89 

470 

1.190 

7.418 

646 

68 



46,886 
132,958 



+4.3 
+.4 



4.974 
41,126 



5,343 
40,990 



+7.4 
-.3 



5.022 
38,001 



5.456 
37.657 



+8.6 
-.9 



586 
9,322 



179,844 



46,100 



46,333 



+.5 



43.023 



43,113 



+.2 



9,908 



65,208 
6,640 

32,198 
1,496 

13,856 
21,391 
17,230 

965 

10,448 

79,230 

1,278 

12,152 

229,394 

39,141 

53,133 

25.081 

1,351 

229,145 

392 

746 

7,858 



+7.1 

-: 5 

-.7 
-3.2 

+ 10.4 
+ 1.0 
+4.9 

-30.1 

-4.6 
+7.4 
-10.6 
-1.5 
-6.4 

+ 1.0 

-3.0 

+6.8 

+4.8 

+8.4 

-37.5 

-5.3 

-.1 



6.686 

453 

382 

40 

2,382 
8,944 
1,976 

10 

1,663 

5,693 

26 

150 

2,607 

9,824 

1,451 

3,345 

332 

18,250 

316 

788 

7,868 



7,230 

396 

454 

69 

2,728 
9,028 
2,091 



1,619 
5,460 

22 

147 

2,277 

9,448 

1,356 

3,739 

306 

18,399 

149 

746 

7,858 



+8.1 
-12.6 
+ 18.8 
+72.5 

+ 14.5 

+.9 

+5.8 

+ 100,0 

-2.6 
-4.1 

-15.4 
-2.0 

-12.7 

-3.8 

-6.5 

+ 11.8 

-7.8 

+.8 

-52.8 

-5.3 

-.1 



10.664 

3,602 

31,852 

734 

1,608 
2,410 
1.117 

2,721 

594 
14,855 

288 

1,168 

30,422 

9,515 

5,908 

4,655 

324 

39,988 

70 

319 

9,337 



11,541 

3,416 

32,387 

737 

1,796 
2,406 
1,239 

1,980 

508 
16,203 

305 

1,234 

28,658 

9,410 

5,727 

5,397 

367 

44,601 

72 

276 

8,311 



+8.2 
-5.2 
+ 1.7 

+.4 

+ 11.7 

-.2 

+ 10.9 

-27.2 

-14.5 
+9.1 
+5.9 
+5.7 
-5.8 

-1.1 
-3.1 
+ 15.9 
+ 13.3 
+ 11.5 
+2.9 
-13.5 
-11.0 



1.823 

180 

249 

26 

212 

818 

90 

71 

105 

1,008 

1 

47 

424 

3,770 

290 

821 

71 

5,630 

43 

319 

9,337 



10 

10 

105 

484 

1,105 

6,908 

671 

62 



609 
8,746 



9,355 



1,847 

198 

226 

26 

284 
788 
107 

81 

103 

932 

2 

50 

337 

3,570 

225 

1,076 

77 

5,321 

39 

276 

8,311 



-5.7 



-37.5 
-9.1 
+18.0 
+3.0 
-7.1 
-6.9 
+3.9 



+3.9 
-6.2 



-5.6 



+ 1.3 

+ 10.0 

-9.2 



+34.0 

-3.7 

+ 18.9 

+ 14.1 

-1.9 

-7.5 

+ 100.0 

+6.4 

-20.5 

-5.3 

-22.4 

+31.1 

+8.5 

-5.5 

-9.3 

-13.5 

-11.0 



'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 
'Property crimes are offenses of burglary, larceny-thef^, motor vehicle theft, and arson. 
'Includes arson. 



199 



Table 47. — Suburban County Arrests, Distribution by Age, 1988 

[921 agencies; 1988 estimated population 35,374,000] 



Offense charged 



Total 
all 
ages 



Ages 

under 

15 



Ages 

under 

18 



Ages 

18 and 

over 



Age 



Under 
10 



10-12 



13-14 



16 



17 



19 



20 



TOTAL 

Percent distribution' 

Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 

Violent crirae^ 

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 oftenses (except traffic) 

Suspicion 

Curfew and loitering law violations ... 
Runaways 



1,373,449 
100.0 



2,290 

4,096 

9,475 

41,526 

49,156 

117,442 

19,855 

2,294 



57,387 

100.0 

188,747 

100.0 



246,134 
100.0 



86,282 

11,053 

70,475 

2,545 

17,311 
26,177 
20,163 

2,989 

11,978 

105,916 

1,757 

16,306 
285,259 

51,067 

61,691 

34,436 

1,772 

299,700 

642 

1,317 

18,479 



49,429 
3.6 



168,798 
12.3 



1,204,651 

87.7 



4,506 
.3 



11,045 



33,878 

2.5 



29,502 
2.1 



39,187 
2.9 



50,680 

3.7 



62,642 
4.6 



61,070 
4.4 



23 

181 

380 

1,253 

5,611 

11,517 

1,634 

553 



160 

519 

1,600 

4,297 

16,088 

30,732 

6,686 

872 



2,130 

3,577 

7,875 

37,229 

33,068 

86,710 

13,169 

1,422 



1 

13 
II 
111 
509 
964 
23 
146 



1 

34 

74 

310 

1,460 

3,045 

189 

168 



21 

134 

295 

832 

3,642 

7,508 

1,422 

239 



20 

89 

290 

775 

2,905 

5,203 

1,533 

119 



42 

III 

407 

957 

3,487 

6,365 

1,794 

110 



75 

138 

523 

1,312 

4,085 

7,647 

1,725 

90 



104 

187 

689 

1,471 

4,390 

7,421 

1,533 

80 



103 

150 

596 

1,442 

3,338 

5,858 

1,252 

98 



1,837 

3.2 

19,315 

10.2 



6,576 

11.5 

54,378 

28.8 



50,811 

88.5 

134,369 

71.2 



136 

.2 

1,642 

.9 



419 

,7 

4,862 

2.6 



1,282 

2.2 

12,811 

6.8 



1,174 
2.0 

9,760 
5.2 



1,517 

2.6 

11,756 

6.2 



2,048 

3.6 

13,547 

7.2 



2,451 

4.3 

13,424 

7.1 



2,291 

4.0 

10,546 

5.6 



21,152 
8.6 



60,954 
24.8 



185,180 

75.2 



1,778 

.7 



5,281 
2.1 



14,093 
5.7 



10,934 
4.4 



13,273 
5.4 



15,595 

6.3 



15,875 
6.4 



12,837 
5.2 



3,351 

85 

98 

4 

752 

4,749 

542 

18 

885 

846 

6 

43 
49 

803 

150 

1,737 

85 

6,761 

61 

396 

6,856 



10,057 
634 
775 
101 

3,294 
10,690 
2,412 

101 

1,856 

7,048 

25 

225 

2,867 

13,900 

1,619 

5,728 

388 

26,098 

230 

1,317 

18,479 



76,225 

10,419 

69,700 

2,444 

14,017 
15,487 
17,751 



10,122 

98,868 

1,732 

16,081 

282,392 

37,167 

60,072 

28,708 

1,384 

273,602 

412 



416 

7 

30 



20 

827 
37 



102 

33 

1 

12 

15 

104 

21 

244 

5 

651 

8 

20 

174 



819 

13 

II 

I 

101 

1,399 

125 



218 

87 

4 

II 



47 

7 

432 

16 

1,295 

II 

66 

1,093 



2,116 
65 

57 
3 

631 

2,523 

380 

17 

565 

726 

I 

20 

26 

652 

122 

1,061 

64 

4,815 

42 

310 

5,589 



1,642 

67 

83 

6 

615 

1,649 

409 

18 

350 

980 

2 

39 

77 

1,507 

209 

949 

67 

4,449 

45 

270 

5,135 



2,164 

147 

152 

30 

848 

2,053 

596 

18 

284 

1,873 

4 

41 

572 

3,896 
388 

1,293 
100 

6,342 

52 

375 

4,686 



2,900 

335 

442 

61 

1,079 

2,239 

865 

47 

337 

3,349 

13 

102 
2,169 

7,694 
872 

1,749 
136 

8,546 

72 

276 

1,802 



3,043 

514 

1,091 

HI 

1,230 
1,723 
1,188 

127 

379 

5,155 

14 

326 
6,302 

9,611 

1,988 

1,865 

137 

11,940 

23 



3,052 

615 

1,840 

93 

1,145 
1,269 
1,080 

144 

342 

5,284 

22 

329 
7,536 

8,414 

2,036 

1,699 

108 

13,197 

28 



See footnotes at end of table. 



200 



47. — Suburban County Arrests, Distribution by Age, 1988 — Continued 



Offense charged 



Age 



21 



23 24 25-29 30-34 



35-39 



40-44 



45-49 



50-54 



55-59 



60-64 



65 and 
over 



TOTAL 

Pereenl distribution' 



rder and nonnegligent manslaughter 

cible rape 

>bery 

javated assault 

glary 

ceny-theft 

tor vehicle theft 

on 



Violent crime' 

Percent distribution' 
Property crime' .... 
Percent distribution' 



Cnme Index total' 
Percent distribution' 



her assauhs 

"(gery and counterfeiting 

ud 

bezzlement 

len property; buying, receiving, 

ossessing 

idalism 

apons: carrying, possessing, etc. 



)Stitulion and commercialized vice 
, offenses (except forcible rape and 

irostitution) 

ug abuse violations 

mbling 

fenses against family and children . 
iving under the influence 



)uor laws 

unkenness 

sordedy conduct 

grancy 

I other offenses (except traffic) 

spicion 

irfew and loitering law violations 
inaways 



58,095 
4.2 



97 

196 

478 

1,650 

2,252 

4,395 

905 

73 



2.421 
4.2 

7,625 
4,0 



10,046 
4.1 



3,364 

546 

2,915 

82 

895 
903 
942 

129 

368 

5,494 

26 

494 

11,635 

1,639 
2,475 
1,671 

66 
14,384 

21 



57.766 
4.2 



58,579 
4.3 



60,396 
4.4 



272,619 
19.8 



200.669 
14.6 



129,966 
9,5 



78,721 

5.7 



44,947 
3J 



26,133 
1.9 



16,335 
1.2 



9,962 

.7 



91 

177 

505 

1,686 

1,907 

4,225 

771 

65 



90 

175 

478 

1,764 

1,802 

3,983 

740 

66 



107 

190 

462 

1,785 

1,705 

3,947 

683 

72 



410 

773 
1,872 
8,704 
6,828 
17,120 
2,763 

276 



331 

588 

1,177 

6.715 

4,093 

13,647 

1.712 

203 



275 

413 

614 

4.393 

2,142 

8,949 

888 

166 



161 

226 

239 

2,606 

1,091 

4,946 

454 



93 

140 

104 

1,511 

449 

2,879 

217 

62 



54 

93 

39 

869 

229 

1,670 

94 

35 



43 
51 
29 
528 
133 
1,188 
67 



32 
30 
14 

331 
64 

791 
29 
16 



2,459 

4.3 

6.968 

3.7 



2,507 
4.4 

6,591 
3,5 



2,544 
4.4 

6,407 
3.4 



11,759 
20.5 

26.987 
14,3 



8,811 

15.4 

19,655 

10.4 



5.695 

9.9 

12,145 

6.4 



3,232 
5.6 

6,579 
3.5 



1,848 
3.2 

3,607 
1.9 



1,055 
1.8 

2,029 
I.I 



651 

1.1 

1.416 



407 

.7 

900 

.5 



9.427 
3.8 



9.098 

3.7 



8,951 
3.6 



38,746 
15.7 



28,466 
11.6 



17,840 

7.2 



9,811 
4.0 



5,455 
2.2 



3,084 
1.3 



2,067 



1,307 

.5 



3,419 
577 

3,079 
109 

827 
858 
911 

174 

332 

5,519 

17 

598 

12,366 

1,274 

2.486 

1,527 

55 

14,188 

23 



3,819 
550 

3,138 
120 

837 
807 
941 

170 

344 

5,607 

34 

678 

13,069 

1,032 
2,700 
1,508 

66 
14,031 

30 



3,936 
525 

3,500 
135 

748 
842 
875 

183 

389 

5,673 

34 

711 

13,843 

915 

2,717 

1,553 

70 

14,779 

17 



17,688 

2,464 

16.577 

534 

2,907 
3,255 
3,783 

727 

1,871 

25,979 

190 

3,837 
64,945 

3,170 

12,856 

6,127 

231 

66,647 

85 



13,598 

1,847 

13,900 

458 

1,933 
2,149 
2,773 

519 

1,690 

17,643 

193 

3.443 
49.700 

1.792 

10.405 

4,363 

224 

45,511 

62 



8,876 

1,063 

9,436 

311 

1,247 
1,211 
1,720 

288 

1,339 

9,396 

190 

2,407 

33.872 

1,182 

7.441 

2,700 

193 

29,217 

37 



5,454 
561 

5,970 
176 

673 

702 

1,082 

107 

976 

4,417 

227 

1,539 

23,440 

723 

4.800 

1.636 

64 

16.342 

21 



3.065 
297 

2,900 
116 

300 
336 
622 



582 

1,817 

249 

730 

14,902 

490 

3,056 

1,014 

41 

8,895 

12 



1,710 

121 

1,496 

39 

160 
214 
399 

43 

358 
889 
175 
328 
9,353 

274 

2,077 

594 

22 

4,790 

7 



1,008 
69 

774 
33 

97 
115 

247 

31 

291 
465 
151 
142 
6.024 

197 

1.367 

376 

12 

2.865 

4 



563 

34 

369 

11 

60 
81 
140 

19 

249 

251 

103 

62 

3.709 

137 

925 

250 

19 

1,669 

4 



8,675 
.6 



34 

35 

4 

322 

51 

889 

31 

9 



395 
.7 

980 
,5 



1,375 
.6 



586 

20 

319 

7 

35 
78 
119 



280 
149 
93 

47 
2.958 

164 

646 

230 

13 

1.540 

7 



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

'Violent cnmes are offenses of murder, forcible rape, robbery, and aggravated assault, 
'Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 
•Includes arson. 



201 



Table 48.— Suburban County Arrests of Persons under 15, 18, 21, and 25 Years of Age, 1988 

[921 agencies; 1988 estimated population 35,374,000] 



Offense charged 



Total all 
ages 



Number of persons arrested 



Under 15 Under 18 Under 21 



Under 25 



Percent of total all ages 



Under 
15 



Under 
18 



Under 
21 



Under 

25 



TOTAL 

Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 

Violent crime' 

Property crime^ 

Crime Index total' 

Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, possessing 

Vandalism 

Weapons; carrying, possessing, etc 

Prostitution and commercialized vice 

Sex offenses (except forcible rape and prostitution) 

Drug abuse violations 

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 



1,373,449 



2,290 

4,096 

9,475 

41,526 

49,156 

1 1 7,442 

19,855 

2,294 



57,387 
188,747 



246,134 



86,282 
11,053 
70,475 
2,545 
17,311 
26,177 
20,163 

2,989 

11,978 

105,916 

1,757 

16,306 

285,259 

51,067 

61,691 

34,436 

1,772 

299,700 

642 

1.317 

18,479 



49,429 



168,798 



350,586 



585,422 



3.6 



12.3 



23 

181 

380 

1,253 

5,611 

11,517 

1,634 

553 



160 

519 

1,600 

4,297 

16,088 

30,732 

6,686 

872 



472 

1,009 

3,460 

8.662 

26,410 

48,813 

10,501 

1,134 



857 

1,747 

5,383 

15,547 

34,076 

65,363 

13,600 

1,410 



1.0 
4.4 
4.0 
3.0 

11.4 
9.8 
8.2 

24.1 



7.0 
12.7 
16.9 
10.3 
32.7 
26.2 
33.7 
38.0 



1,837 
19,315 



6,576 
54,378 



13,603 
86,858 



23,534 
114,449 



3.2 
10.2 



11.5 
28.8 



21,152 



60.954 



100,461 



137,983 



8.6 



24.i 



3,351 
85 
98 

4 

752 

4,749 

542 

18 

885 

846 

6 

43 

49 

803 

150 

1,737 

85 

6,761 

61 

396 

6,856 



10,057 

634 

775 

101 

3,294 

10,690 

2,412 

101 

1,856 

7,048 

25 

225 
2,867 

13,900 

1,619 

5,728 

388 

26,098 

230 

1,317 

18,479 



19,196 

2,379 

6,102 

414 

6,592 

14,626 
5,609 

522 

2,909 

22,617 

75 

1,290 

25,443 

38,078 

7,740 

10,887 

696 

64,842 

312 

1,317 

18,479 



33,734 
4,577 

18,734 

860 

9,899 

18,036 
9,278 

1,178 
4,342 

44,910 

186 

3,771 

76,356 

42,938 

18.118 

17.146 

953 

122,224 

403 

1,317 

18,479 



3.9 
.8 
.1 
2 

4.3 
18.1 

2.7 

.6 
7.4 
.8 
.3 
.3 
(4) 

1.6 

2 

5.0 

4.8 

2.3 

9.5 

30.1 

37.1 



11.7 

5.7 

1.1 

4.0 

19.0 

40.8 

12.0 

3.4 
15.5 
6.7 
1.4 
1.4 
1.0 

27.2 

2.6 

16.6 

21.9 

8.7 

35.8 

100.0 

100.0 



25.5 



20.6 
24.6 
36.5 
20.9 
53.7 
41.6 
52.9 
49.4 



23.7 
46.0 



40.8 



22.2 
21.5 
8.7 
16.3 
38.1 
55.9 
27.8 

17.5 

24.3 

21.4 

4.3 

7.9 

8.9 

74.6 
12.5 
31.6 
39.3 
21.6 
48.6 
100.0 
100.0 



37, 
42. 
56. 
37. 
69. 
55. 
68. 
61. 



'Violent crimes are offenses of murder, forcible rape, robbery, and aggravated assault. 
^Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 
'Includes arson. 
*Less than one-tenth of I percent. 



202 



Me 49. — Suburban County Arrests, Distribution by Sex, 1988 

1 agencies; 1988 estimated population 35,374,000] 



OfTense charged 



Number of persons arrested 



Total 



Male 



Female 



Percent 
male 



Percent 
female 



Percent distribution' 



Total 



Male 



Female 



TOTAL 

urder and nonnegligent manslaughter 

rcible rape 

'ibbery 

igravated assault 

V irglary 

rceny-lheft 

3tor vehicle thefl 

son 

Violent crime^ 

Property crime* 

Crime Index total' 

her assaults 

irgery and counterfeiting 

aud 

nbezzlement 

olen property; buying, receiving, possessing 

indalism 

capons; carrying, possessing, etc 

ostitution and commercialized vice 

■X offenses (except forcible rape and prostitution) 

rug abuse violations 

ambling 

ffenses against family and children 

riving under the influence 

iquor laws 

'runkenness 

'isorderly conduct 

agrancy 

11 other offenses (except traffic) 

uspicion 

urfew and loitering law violations 

.unaways 



1,373,449 



2,290 

4.096 

9.475 

41.526 

49.156 

117,442 

19.855 

2.294 



57.387 
188.747 



246.134 



86.282 
11.053 
70,475 
2,545 
17,311 
26.177 
20,163 

2.989 

11.978 

105,916 

1,757 

16,306 

285,259 



51,067 

61,691 

34,436 

1,772 

299.700 

642 

1,317 

18.479 



,130,415 



243,034 



82.3 



100.0 



1,973 

4,038 

8,710 

36,631 

44,938 

82,249 

17.795 

1,999 



317 

58 

765 

4,895 

4.218 

35,193 

2.060 

295 



86.2 
98.6 
91.9 
88.2 
91.4 
70.0 
89,6 
87.1 



13.8 

1.4 

8.1 

11.8 

8.6 

30,0 

10.4 

12.9 



.2 

.3 

.7 

3.0 

3.6 

8.6 

1.4 

.2 



51.352 
146,981 



6.035 
41.766 



89.5 

77.9 



10.5 
22.1 



4.2 

13.7 



198.333 



47,801 



80.6 



19.4 



17.9 



73,116 
7,317 
35.530 
1,691 
15.287 
23,514 
18.783 

987 

11,437 

87,946 

1,428 

14,923 

253,117 



41,169 

55.718 

28,189 

1,399 

250.203 

533 

953 

8,842 



13.166 
3,736 

34.945 

854 

2,024 

2.663 

1,380 

2,002 

541 

17.970 

329 

1.383 

32.142 



9,898 

5.973 

6,247 

373 

49.497 

109 

364 

9,637 



84.7 
66.2 
50.4 
66.4 
88.3 
89.8 
93.2 

33.0 
95.5 
8.3.0 
81.3 
91.5 
88.7 



80.6 
90.3 
81.9 
79.0 
8.3.5 
83.0 
72.4 
47.8 



15.3 
33.8 
49.6 
33.6 
11.7 
10.2 
6.8 

67.0 
4.5 

17.0 

18.7 
8.5 

11.3 



19.4 
9.7 
18.1 
21.0 
16.5 
17.0 
27.6 
52.2 



6.3 
.8 
5.1 
.2 
1.3 
1.9 
1.5 

.2 
.9 

7.7 

.1 

1.2 

20.8 



3.7 
4.5 
2.5 

.1 

21.8 

(2) 

.1 
1.3 



100.0 



.2 
.4 
.8 
3.2 
4.0 
7.3 
1.6 



4.5 
13.0 



17.5 



6.5 
.6 
3.1 
.1 
1.4 
2.1 
1.7 

.1 
1.0 

7.8 

.1 

1.3 

22.4 



3.6 
4.9 
2.5 

.1 

22.1 

(2) 

.1 



100.0 



.1 

(2) 

.3 

2.0 

1.7 

14.5 

.8 

.1 



2.5 
17.2 



19.7 



5.4 

1.5 

14.4 

.4 

.8 

1.1 

.6 



.2 

7.4 

.1 

.6 

13.2 



4.1 
2.5 
2.6 

.2 

20.4 

(2) 

.1 
4.0 



'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. 



203 



Table 50. — Suburban County Arrests, Distribution by Race, 1988 

[920 agencies; 1988 estimated population 35,313,000) 



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 

See footnotes at end of table. 



1,367.714 



2.281 

4,096 

9,471 

41,513 

49,117 

117,408 

19,841 

2,293 



57,361 
188,659 



246,020 



86,265 

11,050 

70,484 

2,545 

17,311 
26,172 
20,157 

3,034 

11,975 

105,787 

1,756 

16,294 
280,371 

51,061 

61,481 

34,419 

1,772 

299,396 

646 

1,316 

18,402 



1,088,334 



269,035 



5,450 



4,895 



100.0 



79.6 



1,620 

2,933 

4,754 

30,187 

38,596 

82,777 

14,374 

1,922 



630 

1,129 

4,655 

10,899 

10,116 

33,329 

5,271 

350 



12 

17 

33 

284 

212 

522 

69 

13 



19 
17 
29 
143 
193 
780 
127 



100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



71.0 
71.6 
50.2 
72.7 
78.6 
70.5 
72.4 
83.8 



39,494 
137,669 



17,313 
49,066 



346 
816 



208 
1,108 



100.0 
100.0 



68.9 
73.0 



177,163 



66,379 



1,162 



1,316 



100.0 



72.0 



66,928 
7,759 

47,220 
1,660 

11,922 
22,601 
14,995 

2,054 

10,555 

79,005 

1,346 

10,211 

259,206 

47.340 

54,728 

28,098 

1,425 

225,851 

502 

1,207 

16,558 



18,614 

3,234 

23,031 

863 

5,269 
3,367 
5,016 

918 

1.316 

26,298 

397 

6,007 
19,049 

3,362 

6,035 

6,097 

337 

71,558 

133 

96 

1,659 



419 
37 

121 
16 

56 
99 
60 

26 

57 

286 

3 

45 
822 

249 

544 

164 

6 

1,141 

5 

9 

123 



304 


100.0 


20 


100.0 


112 


1 00.0 


6 


100.0 


64 


100.0 


105 


100.0 


86 


100.0 



36 

47 

198 

10 

31 

1,294 

110 

174 

60 

4 

846 

6 

4 

62 



100,0 

100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
1 00.0 
1 00.0 
1 00.0 
100.0 
100.0 
100.0 



77.6 
70.2 
67.0 
65.2 

68.9 
86.4 
74.4 

67.7 

88.1 
74.7 
76.7 
62.7 
92.5 

92.7 
89.0 
81.6 
80.4 
75.4 
77.7 
91.7 
90.0 



19.7 



27.6 
27.6 
49.2 
26.3 
20.6 
28.4 
26.6 
15.3 



30.2 
26.0 



27.0 



21.6 
29.3 
32.7 
33.9 

30.4 
12.9 
24.9 

30.3 

11.0 
24.9 
22.6 
36.9 
6.8 

6.6 
9.8 

17.7 
19.0 
23.9 
20.6 
7.3 
9.0 



204 



able 50. — Suburban County Arrests, Distribution by Race, 1988 — Continued 



Offense charged 



Arrests under 18 



Total 



White 



Black 



American 
Indian 



Alaskan 
Native 



Asian 

or 
Pacific 
Islander 



Percent distribution' 



Total 



White 



Black 



American 
Indian 



Alaskan 
Native 



Asian 

or 
Pacific 
Islander 



TOTAL 

lurder and nonnegligent manslaughter 

Drcible rape 

obbery 

iggravated assault 

urglary 

arceny-theft 

lotor vehicle theft 

rson 

Violent crime* 

Property crime' 

Crime Index total' 

'ther assaults 

orgerv- and counterfeiting 

raud 

mbezzlement 

tolen property; buying, receiving. 

possessing 

'andalism 

Weapons; carrying, possessing, etc. . . . 

'rostitution and commercialized vice . 
■ex offenses (except forcible rape and 

prostitution) 

)rug abuse violations 

jambling 

Offenses against family and children . 
Jriving under the influence 

wiquor laws 

Drunkenness 

Disorderly conduct 

v^agrancy 

Ml other offenses (except traffic) 

Suspicion 

Curfew and loitering law violations ... 

Runaways 

See footnotes at end of table. 



168,472 



157 
519 

1.599 

4,294 

16,075 

30,721 

6,678 

872 



6,569 
54,346 



60,915 



10,057 
632 
775 
101 

3,294 
10,686 
2,411 

101 

1,855 

6,948 

25 

222 

2,844 

13,897 

1,588 

5,721 

388 

26,060 

234 

1,316 

18,402 



138,877 



27,851 



757 



987 



100.0 



82.4 



16.5 



95 

370 

744 

2,834 

13,616 

23,446 

4,846 

784 



57 

144 

833 

1,402 

2,273 

6.823 

1,736 

83 



2 
9 
31 
78 
132 
26 
I 



4,043 
42,692 



2,436 
10,915 



42 
237 



5 


100.0 


3 


100.0 


13 


100.0 


27 


100.0 


108 


100.0 


320 


100.0 


70 


100.0 


4 


100.0 


48 


100.0 


502 


100.0 



60.5 
71.3 
46.5 
66.0 
84.7 
76.3 
72.6 
89.9 



36.3 

27.7 
52.1 
32.7 
14.1 
22.2 
26.0 
9.5 



61.5 
78.6 



37.1 
20.1 



46,735 



13,351 



279 



550 



100.0 



76.7 



21.9 



7,580 

512 

598 

73 

2,185 
9,597 
1,785 

79 

1,615 

5,382 

7 

191 

2,743 

13,508 

1,501 

4,684 

328 

21,803 

206 

1,207 

16,558 



2,369 
113 
169 

27 

1,070 
990 
603 

19 

229 

1,530 

18 

26 

80 

297 

72 

983 

58 

4,066 

26 

96 

1,659 



60 

2 
3 



12 
29 



6 
22 



4 

11 

65 
12 
37 



72 

1 

9 

123 



48 


100.0 


5 


100.0 


5 


100.0 


1 


100.0 


27 


100.0 


70 


100.0 


15 


1 00.0 



1 

10 

27 
3 

17 

2 

119 

1 

4 

62 



100.0 

100.0 
100.0 
1 00.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



75.4 
81.0 

77.2 
72.3 

66.3 
89.8 
74.0 

78.2 

87.1 
77.5 
28.0 
86.0 
96.4 

97.2 
94.5 
81.9 
84.5 
83.7 
88.0 
91.7 
90.0 



23.6 


.6 


17.9 


.3 


21.8 


.4 


26 7 




32.5 


.4 


9.3 


.3 


25.0 


.3 



2.0 



12.3 


.3 


22.0 


.3 


7?n 




11.7 


1.8 


2.8 


.4 


2.1 


.5 


4.5 


.8 


17.2 


.6 


14.9 





15.6 


.3 


11.1 


.4 


7.3 


.7 


9.0 


.7 



3.2 
.6 
.8 
.6 
.7 
1.0 
1.0 
.5 



205 



Table 50. — Suburban County Arrests, Distribution by Race, 1988 — Continued 



Offense charged 



Arrests 18 and over 



Total 



White 



Black 



American 
Indian 



Alaskan 
Native 



Asian 



Pacific 
Islander 



Percent distribution' 



Total 



White 



Black 



American 
Indian 



Alaskan 
Native 



Asian 

or 
Pacific 
Islander 



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 infiuence 



Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) . . 

Suspicion 

Curfew and loitering law violations 
Runaways 



1,199,242 



2.124 

3,577 

7,872 

37,219 

33,042 

86,687 

13,163 

1,421 



50,792 
134,313 



185,105 



76,208 

10,418 

69,709 

2,444 

14.017 
15.486 
17,746 

2,933 

10,120 

98,839 

1,731 

16,072 

277,527 

37,164 

59,893 

28,698 

1,384 

273,336 

412 



949,457 



241,184 



4,693 



3,908 



100,0 



79,2 



20,1 



1,525 

2,563 

4,010 

27,353 

24,980 

59,331 

9,528 

1,138 



573 

985 

3.822 

9,497 

7,843 

26,506 

3,535 

267 



12 

15 

24 

253 

134 

390 

43 

12 



35,451 
94,977 



14,877 
38,151 



304 
579 



14 


100.0 


14 


100.0 


16 


100.0 


116 


100.0 


85 


100.0 


460 


100.0 


57 


100.0 


4 


100.0 


160 


100.0 


606 


lOO.O 



71.8 
71.7 
50.9 
73.5 
75.6 
68.4 
72.4 
80.1 



69.8 

70.7 



130,428 



53,028 



883 



766 



100.0 



70.5 



59,348 
7.247 

46,622 
1,587 

9,737 
13,004 
13,210 

1,975 

8,940 

73,623 

1,339 

10,020 

256,463 

33,832 

53,227 

23,414 

1,097 

204,048 

296 



16,245 

3,121 

22,862 

836 

4,199 
2,377 
4,413 

899 

1,087 

24,768 

379 

5,981 
18.969 

3.065 
5.963 
5,114 

279 
67.492 

107 



359 
35 

118 
16 

44 
70 
52 

24 

51 

264 

3 

41 
811 

184 
532 
127 

6 
1,069 

4 



256 


100.0 


15 


100.0 


107 


100.0 


5 


100.0 


37 


100.0 


35 


100.0 


71 


100.0 



35 

42 

184 

10 

30 

1,284 

83 

171 

43 

2 

727 
5 



100.0 

100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



77.9 
69.6 
66.9 
64.9 

69.5 
84.0 
74.4 

67.3 

88.3 
74.5 
77.4 
62.3 
92.4 

91.0 
88.9 
81.6 
79.3 
74.7 
71.8 



27.0 
27.5 
48.6 
25.5 
23.7 
30.6 
26.9 
18.8 



29.3 
28.4 



21.3 
30.0 
32.8 
34.2 

30.0 
15.3 
24.9 

30.7 

10.7 
25.1 
21.9 
37.2 
6.8 

8.2 
10.0 
17.8 
20.2 
24.7 
26.0 



.5 
.3 
.2 
.3 
.3 

.5 
.9 

.4 

.4 

.4 

1.0 



'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. 



206 



ible 51.— Rural Count) ArresC Trends, 1987-1988 

907 agencies, 1988 estimated population 21.402.000] 



Offense charged 



TOTAL 

urder and nonnegligent manslaughter 

-rcible rape 

)bber>' 

^ravated assault 

irglai7 

irceny-theft 

otor vehicle theft 

son 

Violent crime' 

Property crime^ 

Crime Index total' 



ther assaults 42.470 



orgery and counterfeiting 

raud 

mbezzlement 

tolen property; 
buying, receiving, possessing ... 

andalism 

/capons; carrying, possessing, etc 



Number of persons arrested 



Total all ages 



1987 



722,728 



1.162 

2.044 

2,027 

18,961 

28,675 

40,114 

6.988 

1,142 



24.194 
76,919 



101,11.1 



■restitution and commercialized vice 
ke\ offenses (except forcible 

rape and prostitution) 

Orug abuse violations 

jambling 

Jffenses against family and children 
Driving under the influence 



-iquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) 
Suspicion (not included in totals) ,. 
Curfew and loitering law violations 
Runaways 



6.447 

43.666 

1,097 

5,642 
14.171 
8.188 

154 

5.641 

43.422 

652 

6.906 

190,111 

50,099 

38,991 

21.094 

295 

133.711 

523 

1,225 

7.633 



1988 



746,413 



1,251 

2,137 

2,175 

20.315 

27,597 

39,611 

7,187 

1 , 1 54 



25.878 
75.549 



101.427 



44.663 
6.619 

43.834 
1.260 

6.375 
14.906 
8,886 

132 

5.597 

49.451 

691 

6.186 

188.208 

52.437 

37.973 

22.847 

267 

145,451 

447 

1.236 

7,967 



Percent 
change 



+.3,.3 



+ 7,7 
+4.5 
+7.3 
+ 7.i 
-3.8 
-1.3 
+2,8 
+ 11 



+7.0 
-1.8 



+ .3 



+5-2 

+2.7 

+.4 

+ 14.9 

+ 13.0 

+5.2 
+8.5 

-14.3 

-.8 

+ 13.9 

+6.0 

-10.4 

-1.0 

+4.7 
-2.6 

+8.3 
-9.5 

+8.8 

-14.5 
+.9 

+4.4 



Under 18 years of age 



73,393 



55 

195 

188 

1.195 

9.215 

9.832 

2,451 

306 



1.633 
21.804 



23.437 



2.866 

398 

317 

19 

786 

4,925 

553 

10 

775 

2,513 

18 

191 
2,920 

1 1,907 
1.065 
2,018 

78 
9,739 

91 
1,225 
7.633 



1988 



74,182 



73 

198 

179 

1.272 

8.501 

9,442 

2,441 

329 



1,722 
20,713 



22.435 



Percent 
change 



+ 32.7 
+ 1.5 
-4.8 
+6.4 
-7.7 
-4.0 
-.4 
+ 7.5 



+5,5 
-5,0 



-4.3 



3.224 

412 

368 

23 

965 

5.245 

600 



834 

2.557 

26 

163 
2.689 

11,554 

939 

2,306 

40 

10,592 

97 

1,236 

7,967 



+ 12.5 

+ 3.5 

+ 16.1 

+21.1 

+22.8 
+6.5 
+8.5 

-30.0 

+7.6 

+ 1.8 

+44.4 

-14.7 

-7.9 

-3.0 
-11.8 
+ 14.3 
-48,7 
+8,8 
+6.6 
+.9 
+4.4 



18 years of age and over 



1987 



649,335 



1,107 

1,849 

1,839 

17,766 

19,460 

30.282 

4.537 

836 



22,561 
55,115 



77.676 



39.604 
6,049 

43,349 
1.078 

4,856 
9,246 
7,635 

144 

4,866 

40,909 

634 

6,715 
187,191 

38,192 
37,926 
19,076 

217 
123.972 

432 



1988 



672,231 



1.178 

1,939 

1,996 

19,043 

19,096 

30, 1 69 

4,746 

825 



24,156 
54,836 



78,992 



Percent 
change 



41,439 
6.207 

43.466 
1.237 

5.410 
9.661 
8.286 

125 

4.763 

46.894 

665 

6,023 

185,519 

40,883 
37,034 
20,541 

227 
134,859 

350 



'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. 



+6,4 
+4.9 
+8,5 
+7.2 

-1,9 

-,4 

+4,6 

-1,3 



+7.1 
.,5 



+ 1.7 



+4.6 
+2,6 

+.3 
+ 14.7 

+ 11.4 
+4,5 
+8.5 

-13.2 

-2,1 

+ 14.6 

+4.9 

-10,3 

-.9 

+7.0 
-2.4 
+ 7,7 
+4.5 
+8.8 
-19,0 



207 



Table 52.— Rural County Arrest Trends, Sex, 1987-1988 

[1,907 agencies; 1988 estimated population 21.402,000) 



Offense charged 



Males 



Total 



1987 



Percent 
change 



Under 18 



1987 



Percent 
change 



Females 



Total 



1987 



Percent 
change 



Under 18 



1987 



1988 



Percent 
change 



TOTAL 

Murder and nonnegligent 

manslaughter 

Forcible rape 

Robber\ 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 

Violent crime' 

Property crime^ 

Crime Index totaP 

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 



608.557 



1,009 

2,013 

1,834 

16,837 

26,779 

31,406 

6,264 

980 



21,693 
65.429 



87,122 



36,137 

4,315 
22.303 

757 

4,995 

12,775 
7,735 

67 

5,430 

36,891 

576 

6,301 

170,940 

41,211 

35,724 

17.899 

262 

112.848 

470 

841 

3,428 



627,388 



+3.1 



57,637 



58.372 



+ 1.3 



114.171 



19,025 



+4.3 



15,756 



15,810 



1.068 

2.119 

1.998 

17.827 

25,691 

30,948 

6,445 

1,001 



23,012 
64,085 



87,097 



38,058 

4,443 

22,632 

875 

5,669 
13,407 
8,357 

72 

5.377 

41,992 

571 

5,580 

168.633 

43,454 

34,757 

19,232 

221 

122,475 

389 

845 

3,641 



+5.8 
+5.3 
+8.9 
+5.9 
-4.1 
-1.5 
+2.9 
+2.1 



47 

190 

164 

1,037 

8,541 

8,023 

2,116 

274 



60 

196 

166 

1.068 

7,923 

7,777 

2,127 

292 



+27.7 
+3.2 
+ 1,2 
+ 3.0 
-7.2 
-3.1 
+.5 
+6.6 



153 
31 

193 
2,124 
1,896 
8,708 

724 

162 



183 
18 

177 
2,488 
1,906 
8,663 

742 

153 



+ 19.6 

-41.9 

-8.3 

+ 17.1 

+.5 

-.5 

+2.5 

-5.6 



5 

24 

158 

674 

1,809 

335 

32 



13 

13 

204 

578 

1,665 

314 

37 



+6.1 



1.438 
18.954 



1.490 
18.119 



+3.6 
-4.4 



2,501 
11.490 



2,866 
11.464 



+ 14.6 



195 
2.850 



232 
!.594 



(4) 



20,392 



19,609 



13.991 



14,330 



+2.4 



3,045 



2,826 



+5.3 

+3.0 

+ 1.5 

+ 15.6 

+ 13.5 
+4.9 
+8.0 

+7.5 

-1.0 

+ 13.8 

-.9 

-11.4 

-1.3 

+5.4 
-2.7 
+7.4 
-15.6 
+8.5 
-17.2 
+.5 
+6.2 



290 

204 

10 

688 
4,556 

523 



716 

2,086 

17 

134 
2,561 

8.607 

878 

1.651 

65 

7.732 

75 

841 

3,428 



2.565 

280 

235 

18 

862 

4,849 

564 



761 

2,139 

23 

134 
2,346 

8,450 

773 

1,826 

37 

8,410 

76 

845 

3,641 



+ 13.7 

-3.4 

+ 15.2 

+80.0 

+25.3 
+6.4 
+7.8 

+66.7 

+6.3 

+2.5 

+35.3 



-8.4 

-1,8 
-12.0 
+ 10.6 
-43.1 
+8.8 
+ 1.3 
+.5 
+6.2 



6.333 

2.132 

21,363 

340 

647 

1,396 

453 



211 

6,531 

76 

605 

19,171 



3,267 

3,195 

33 

20,863 

53 

384 

4,205 



6,605 

2,176 

21,202 

385 

706 

1,499 

529 

60 

220 

7,459 

120 

606 

19,575 

8,983 

3,216 

3.615 

46 

22,976 

58 

391 

4,326 



+4.3 

+2.1 

-.8 

+ 13.2 

+9.1 

+7.4 

+ 16.8 

-31.0 

+4.3 
+ 14.2 
+57.9 

+.2 
+2.1 

+ 1.1 

-1.6 

+ 13.1 

+ 39.4 

+ 10.1 

+9.4 

+ 1.8 

+2,9 



611 

108 

113 

9 

98 

369 

30 



59 

427 

I 

57 
359 

3,300 

187 

367 

13 

2,007 

16 

384 

4,205 



659 

132 

133 

5 

103 

396 

36 



73 

418 

3 

29 
343 

3,104 

166 

480 

3 

2,182 

21 

391 

4,326 



'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 one percent. 



208 



ble 53.— Rural County Arrests. Distribution by Age, 1988 

30 agencies; 1988 csliniali-d population 24,085,000] 



OtTense charged 



Total 
all 
ages 



Ages 

under 

15 



Ages 

under 

18 



Ages 
18 and 



Age 



Under 
10 



lO-i: 



13-14 



15 



17 



20 



TOTAL 

Percent distribution' 



irder and nonnegligent 

nanslaughter 

rcible rape 

bbery 

gravated assault 

rglar)' 

rceny-theft 

>tor vehicle theft 

son 



Violent crime-^ 

Percent distribution' 
Property crime^ . . . . 
Percent distribution' 



Crime Index total* 
Percent distribution' 



;her assaults 

■>rgery and counterfeiting 

aud 

nbezzlement 

olen property; buying, receiving, 

possessi ng 

andalism 

'capons; carrying, possessing, etc. 

rostitulion and commercialized vice 
2x offenses (except forcible rape 

and prostitution) 

'rug abuse violations 

iambling 

tffenses against family and children 
)riving under the influence 



.iquor laws 

)runkenness 

>isorderly conduct 

^agrancy 

ill other offenses (except traffic) 

iuspicion 

"urfew and loitering law violations 
Runaways 



837,930 
100.0 



1,461 

2,445 

2,431 

22,752 

31,100 

45,789 

8,199 

1,339 



29,089 
100.0 

86,427 
100.0 



115.516 
100.0 



50,649 
7,682 

49,352 
1,363 

7,043 
16,250 
9,760 

156 

6,702 

57.277 

853 

7,150 

203,210 

57,175 

43.471 

25.841 

291 

167,182 

473 

1.583 

8.951 



20.270 
2.4 



84,083 
10.0 



753.847 
90.0 



.707 
.2 



4,690 
.6 



1.3,873 
1.7 



1,3,067 
1.6 



20..347 
2.4 



30,399 
3.6 



39,594 

4.7 



39,272 

4.7 



6 

68 

24 

373 

2.923 

3.449 

670 

181 



91 

227 

202 

1.470 

9.327 

10.532 

2,777 

358 



1.370 

2,218 

2,229 

21,282 

21.773 

35,257 

5,422 

9HI 



5 

3 

32 

287 

2X2 

17 

48 



10 
5 

65 
823 
963 

94 

53 



4 

53 

16 

276 

1,813 

2.204 

559 

SO 



11 

42 

21 

199 

1,511 

1.601 

579 

52 



26 

46 

44 

338 

1.095 

1.371 

737 

51 



48 

71 

113 

560 

2.798 

3,111 

791 

74 



50 

108 

190 

755 

3,209 

3.312 

651 

73 



57 

112 

136 

783 

2,481 

2,563 

512 

81 



471 

1,6 

7,223 

8.4 



1.990 

6.8 

22.994 

26.6 



27,099 

93.2 

6.3,433 

73.4 



40 

.1 

634 

.7 



82 

3 

1.933 



4.656 
5,4 



273 

.9 

3.743 

4 3 



454 

1,6 

5,254 

6,1 



792 

2.7 

6,774 

7.8 



1.103 
3,8 

7.245 
8.4 



1,088 
3.7 

5,637 
6.5 



7,694 
6.7 



24.984 
21.6 



90.532 
78.4 



674 
.6 



2.015 

1.7 



5.005 
4.3 



4.016 
3.5 



5,708 
4,9 



7,566 
6.5 



8,348 

7.2 



6,725 
5.8 



933 
57 
61 



221 
, 1 33 

159 



407 

332 

18 

52 
68 

796 

90 

584 

9 

2.946 

38 

435 

3.233 



3.574 

464 

412 

26 

1.079 

5,658 

663 



937 

2,898 

28 

176 
2,887 

13,156 

1,136 

2.582 

45 

12.739 

98 

1,583 

8,951 



47,075 
7,218 

48,940 
1,337 

5,964 
10,592 
9.097 

149 

5,765 

54,379 

825 

6,974 

200,323 

44,019 
42.335 
23,259 

246 
1 54,443 

375 



100 
1 

7 



587 
46 
44 



8 

354 
12 



55 

705 

46 



20 
1 1 



9 

27 

26 
16 
53 



269 

4 

25 

91 



112 

58 

3 

16 

1 1 



130 
1 

664 
12 
67 

447 



158 

1,074 

101 



275 

263 

15 

27 

30 

690 

72 

401 

8 

2,013 

343 
2,695 



484 
62 

25 



176 

817 

82 



160 

336 

3 

13 
98 

1,484 

132 

399 

16 

1,932 

19 

337 

2,475 



832 
113 
93 

7 

268 

1,071 

161 

3 

176 
684 



1,325 

232 

233 

18 

414 

1,637 

261 



44 
665 

3.807 

270 

663 

5 

3,171 

27 

41 1 

2,168 



194 
1,546 

7 

67 

2,056 

7,069 

644 

936 

15 

4,690 

14 

400 

1,075 



1,781 
408 

779 



566 
1,295 

397 



198 

2,530 

6 

199 
4,356 

8,686 
1,442 
1,231 
5 
7,318 



1,797 

459 

1,316 

29 

455 

1,021 

376 



213 

2,762 

8 

214 
5,703 

7,440 
1,423 
1,139 

1 1 
8,149 

23 



37,400 

4.5 



50 

92 

146 

856 

1.893 

2.274 

408 

49 



1.144 
3.9 

4.624 
5.4 



5.768 
5.0 



1,853 

397 

1,717 

34 

392 
729 
401 



170 

2,798 

15 

203 
6,496 

5,562 
1,591 
1,149 
8 
8,093 
19 



See footnotes at end of table. 



209 



Table 53. — Rural County Arrests, Distribution by Age, 1988 — Continued 



Offense charged 



Age 



23 



24 



25-29 



30-34 



35-39 



40-44 



45-49 



50-54 



55-59 



60-64 



65 and 
over 



TOTAL 

Percent distribution' 



Murder and nonnegligenl manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 



Violent crime^ 

Percent distribution' 

Properly 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 



35,925 
4.3 



60 

108 

150 

S99 

1.616 

2.097 

360 

53 



1.217 
4.2 

4,126 
4.8 



.343 
4.6 



2,095 

412 

1,96S 

50 

389 
692 
396 



169 

2. 859 

6 

282 
8,000 

2,293 
1,855 
1,224 

13 
7,860 

13 



35,070 
4,2 



35,161 
4.2 



36,823 
4,4 



158.580 
18.9 



119,649 
14.3 



81,196 

9.7 



52,513 
6.3 



32,263 
3.9 



20,388 
2.4 



13,060 
1.6 



8,653 
1.0 



56 
101 
140 

975 
1.323 
1.91 1 

302 
49 



51 

84 

121 

978 

1.253 

1.732 

298 

31 



58 

97 

155 

1.027 

1.180 

1.634 

301 

37 



275 

470 

578 

4,588 

4,162 

6.918 

1.073 

160 



224 

367 

312 

3.589 

2.315 

4.695 

666 

148 



152 

238 

159 

2,450 

1,159 

3,018 

399 

96 



117 

192 

80 

1,771 

600 

1,909 

223 

74 



72 

111 

38 

1,021 

268 

1.285 

112 

50 



50 

48 

16 

666 

154 

728 

66 

32 



31 
36 

2 

414 
92 

428 
35 
24 



30 

27 

4 

248 

41 
350 

10 

10 



1.272 
4.4 

3.585 
4.1 



1.234 
4.2 

3.3 1 6 
3.8 



1.337 
4.6 

3,152 
3,6 



5.911 

20.3 

12,313 

14.2 



4,492 

15.4 

7,824 

9,1 



2,999 

10.3 

4,672 

5.4 



2.160 
7,4 

2,806 
3.2 



1,242 
4.3 

1,715 
20 



780 
2.7 

980 
1 1 



483 
1.7 
579 

7 



309 
1.1 

411 



4,857 
4.2 



4,550 
3.9 



4,489 
3.9 



5.224 
15.8 



!,3I6 
10.7 



7,671 
6.6 



4.966 
4.3 



2.957 
2.6 



.760 
1.5 



1 ,062 
.9 



720 
.6 



2,171 

428 

2,241 

59 

332 
584 
460 



166 

2.870 

11 

271 

8,273 

1,721 
1,709 
1,163 

14 
7,714 

18 



2,167 
413 

2,277 
49 



589 
383 

3 

176 

2.966 

13 

326 
8,613 

1,511 
1,724 
1,182 

II 
7,899 

21 



2,448 

438 

2,364 

68 

331 
510 
401 



199 

3,265 

16 

322 
9,122 

1 ,465 
1,923 
1,214 

13 
8,209 

19 



10,537 

1,724 

11,037 

312 

1,187 
2,058 
1,889 

30 

922 

14,459 

85 

1,532 

42,442 

5,249 

8,002 

4,868 

56 

33,879 



8,231 

1,165 

9,092 

253 

822 
1,331 
1,490 

13 

950 

9,760 

93 

1,437 

34,179 

3,309 
6,725 
3,558 

37 
24,831 

57 



5,477 
668 

6,816 
180 

507 
760 
995 

19 

841 
5,418 

106 
1,009 

24,722 

2,261 

5,152 

2,371 

24 

16,165 

34 



3,470 

318 

4,300 

122 

294 

455 

777 

13 

580 

2,550 

97 

603 

17,197 

1,522 
3,548 
1,621 

21 
10,034 

25 



2,075 

208 

2,288 

82 

185 

253 
427 

10 

351 

1,072 

121 

308 

11,628 

1,016 

2,434 

972 

7 

5,855 

14 



1,262 
85 

1,280 
35 

84 
127 
284 

1 

269 
524 

75 
123 

7,572 

768 

1.968 

681 

9 

3.467 

14 



749 
43 

669 
16 

69 
78 
191 



194 

279 

50 

73 

5.265 

556 

1.312 

351 

8 

2.079 

7 



483 
24 

397 
11 

39 

57 
125 



172 
143 
43 
35 
3.532 

.128 
848 
261 

6 
1,422 

5 



8,300 
1.0 



37 

27 
2 

262 
27 

403 
6 
12 



328 

1.1 

448 

.5 



776 

.7 



479 

28 

399 

9 

24 

53 

105 



195 

124 

80 

37 

3.223 

332 

679 

274 

3 

1,469 

4 



'Because of rounding, the percentages may not add to lolal. 

'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. 



210 



»le 54. — Rural Count>' Arrests of Persons under 15, 18, 21, and 25 Years of Age, 1988 

30 agencies; 1988 estimaied population 24.085.000] 



Offense charged 



I TOTAL 

rder and nonnegligeni manslaughter 

cible rape 

jbery 

Ip^vated assault 

"glary 

■ceny-theft 

»lor vehicle theft 

ion 

Violent crime' 

Property crime^ 

Crime Index total' 

Kier assaults 

rgery and counterfeiting 

IBUd 

ibezzlement 

5len property; buying, receiving, possessing 

i tndalism 

capons; carrying, possessing, etc 

ostitution and commercialized vice 

X offenses (except forcible rape 

and prostitution) 

rug abuse violations 

ambling 

ffenses against family and children 

'Tiving under the influence 

iquor laws 

■runkenness 

'isorderly conduct 

agrancy 

II other offenses (except traffic) 

uspicion 

urfew and loitering law violations 

.unawavs 



Total all 
ages 



Number of persons arrested 



Under 
15 



Under 
18 



Under 
21 



Under 

25 



Percent of total all ages 



Under 
15 



Under 
18 



Unde 
21 



Under 
25 



837,930 



1,461 

2,445 

2,431 

22,752 

31,100 

45,789 

8,199 

1,339 



29.089 
86,427 



115.516 



50,649 
7,682 

49,352 
1,363 
7,043 

16,250 
9,760 

156 

6.702 

57.277 

853 

7,150 

203,210 

57.175 

43.471 

25.841 

291 

167.182 

473 

1.583 

8,951 



20,270 



84,083 



200,349 



.343.328 



2.4 



lO.O 



6 

68 

24 

373 

2.923 

3.449 

670 

181 



91 

227 

202 

1.470 

9,327 

10,532 

2.777 

358 



248 

539 

674 

3.864 

16,910 

18,681 

4,348 

561 



473 

929 

1.240 

7.743 

22.282 

26.055 

5.609 

733 



.4 
2.8 
1.0 
1.6 

9.4 

7.5 
8.2 
13.5 



6.2 

9.3 

8.3 

6.5 

30.0 

23.0 

33.9 

26.7 



471 
7,223 



1 ,990 
22,994 



5,325 
40,500 



10,385 
54,679 



1.6 

8 4 



6.8 
26.6 



7.694 



24.984 



45.825 



65.064 



6.7 



21.6 



933 
57 
61 



221 

:,I33 

159 



407 

332 

18 

52 

68 

796 

90 

584 

9 

2,946 

38 

435 

3,233 



3.574 

464 

412 

26 

1.079 

5,658 

663 



-937 

2,898 

28 

176 

2,887 

13,156 

1,136 

2,582 

45 

12,739 

98 

1,583 

8.951 



9.005 
1.728 
4.224 
I 17 
2.492 
8,703 
1,837 



1,518 

10,988 

57 

792 

19.442 

34,844 

5.592 

6.101 

69 

36.299 

154 

1.583 

8.951 



17.886 
3.419 

1 3.074 

343 

3.832 

11.078 
3.477 

52 



22.948 

103 

1.993 

53.450 

41.834 

12.803 

10.884 

120 

67,981 

225 

1.583 

8,951 



1.8 
.7 
.1 



3.1 

13.1 

1,6 

2.6 



4.5 



23.9 



17.0 
22.0 
27.7 
17.0 
54.4 
40,8 
53.0 
41.9 



18.3 
46,9 



39.7 



7.1 


17.8 


6.0 


22.5 


.8 


8.6 


1.9 


8.6 


15.3 


35.4 


34.8 


53.6 


6.8 


18.8 



17.9 



6.1 


14.0 


22.6 


.6 


5.1 


19.2 


2.1 


3.3 


6.7 


.7 


2.5 


11. 1 


(4) 


1.4 


9.6 


1.4 


23.0 


60.9 


T 


2.6 


12.9 


2.3 


10.0 


23.6 


3.1 


15.5 


23.7 


1.8 


7.6 


21.7 


8.0 


20.7 


32.6 


27.5 


100.0 


1 00.0 


36.1 


100.0 


100.0 



41.0 



32.4 
38.0 
51.0 
34.0 
71.6 
56.9 
68.4 
54.7 



35.7 
63.3 



56.3 



35.3 
44.5 
26.5 
25.2 
54.4 
68.2 
35.6 

33.3 

33.2 
40.1 
12.1 
27.9 
26.3 

73.2 
29.5 
42.1 
41.2 
40.7 
47.6 
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. 



211 



Table 55.— Rural County Arrests, Distribution by Sex, 1988 

[2.130 agencies; 1988 estimated population 24.085.000] 



Offense charged 



Number of persons arrested 



Total 



Male 



Female 



Percent 
male 



Percent 
female 



Percent distribution' 



Male 



TOTAL 

Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglar>' 

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 mtluence 

L iquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except trafTic) 

Suspicion 

Curfew and loitering law violations 

Runaways 



837,930 



1,461 

2.445 

2,431 

22.752 

31.100 

45.789 

8,199 

1.339 



29.089 
86,427 



115.516 



50.649 
7.682 

49.352 
1,363 
7,043 

16,250 
9.760 

156 
6.702 

57.277 

853 

7.150 

203,210 

57.175 

43.471 

25.841 

291 

167.182 

473 

1,583 

8,951 



703,433 



134,497 



83.9 



100,0 



1.251 

2.420 

2.231 

19,976 

28.946 

35,849 

7.337 

1.159 



210 
25 

200 
2.776 
2.154 
9,940 

862 

180 



25,878 
73,291 



3,211 
13,136 



85.6 


14.4 


99.0 


1.0 


91,8 


8.2 


87.8 


12.2 


93.1 


6.9 


78.3 


21.7 


89.5 


10.5 


86.6 


13.4 


89.0 


11.0 


84.8 


15.2 



99,169 



16..347 



85.8 



43,174 
5,156 

25.434 

949 

6,240 

14.614 
9.158 

86 

6,431 

48.577 

667 

6.431 

181.985 

47.264 

39.694 

21.745 

242 

140.921 

415 

1 .065 

4.016 



7.475 

2,526 

23.918 

414 

803 

1.636 

602 

70 

271 

8.700 

186 

719 

21.225 

9.911 

3,777 

4,096 

49 

26,261 

58 

518 

4.935 



85.2 


14.8 


67,1 


32.9 


51.5 


48.5 


69.6 


30.4 


88.6 


11.4 


89.9 


10.1 


93.8 


6.2 


55.1 


44.9 


96.0 


4.0 


84.8 


15.2 


78.2 


21.8 


89.9 


10.1 


89,6 


10.4 


82.7 


17.3 


91.3 


8.7 


84.1 


15.9 


83.2 


16.8 


84.3 


15.7 


87.7 


12.3 


67.3 


32.7 


44.9 


55.1 



.3 
.3 

2.7 
3.7 
5.5 
1.0 



3.5 
10.3 



13 8 



6.0 

.9 

5.9 



1.9 
1.2 

(2) 

.8 

6.8 

.1 

.9 

24.3 

6.S 
5.2 
3.1 
(2) 
20.0 
.1 



100.0 



3.7 
10.4 



6.1 
.7 

3.6 
.1 
,9 

2.1 

1.3 

(2) 
.9 
6.9 
.1 
.9 
25.9 

6.7 

5.6 

3.1 

(2) 

20.0 

.1 

2 

.6 



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

^Less than one-tenth of I percent, 

'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. 



212 



ible 56. — Rural Count) Arrests, Distribution by Race, 1988 

1:2 agencies; 1988 estimated population 23.983,000] 



Offense charged 



Total arrests 



Total 



White 



Black 



American 
Indian 



Alaskan 
Native 



PaciTic 
Islander 



Percent distribution' 



Total 



White 



Black 



American 
Indian 



Alaskan 
Native 



Asian 

or 
Pacific 
Islander 



TOTAL 



urder and nonnegligent 
manslaughter 

jrcible rape 

obber) 

ggravated assault 

Jrglar>- 

arceny-theft 

iotor vehicle theft 

rson 



Violent crime' . 
Property crime' 



Crime Index total' 



ither assaults 

orgery and counterfeiting 

raud 

mbezzlement 

tolen property; buying, receiving. 

possessing 

'andalism 

V'eapons; carrying, possessing, etc. 



'rostitution and commercialized vice 
iex offenses (except forcible 

rape and prostitution) 

3rug abuse violations 

jambling 

Dffenses against family and children 
Driving under the influence 



Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) .. 

Suspicion 

Curfew and loitering law violations 
Runaways 



830,663 



1.453 

2.422 

2.421 

22.620 

30.922 

45.536 

8.145 

1.332 



28.916 
85,935 



114.851 



50,454 
7,580 

49,303 
1,323 

6,979 
16,217 
9,734 

156 

6,674 

57,009 

837 

7,079 

199,512 

57,016 

42,989 

25,704 

301 

166,075 

406 

1,575 

8,889 



677,300 



124,901 



19,937 



8,525 



100,0 



81.5 



15.0 



1,056 

1,743 

1,441 

16,445 

24.992 

36,594 

6,800 

1. 181 



363 

603 

911 

5.300 

4.879 

7.545 

971 

124 



23 
63 
42 
701 
704 
704 
207 



II 
13 

27 
174 
347 
693 
167 



100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



72,7 
72.0 
59.5 
72.7 
80.8 
80.4 
83.5 
88.7 



25.0 
24.9 
37.6 
23,4 
15.8 
16.6 
11,^ 
9,3 



20.685 
69.567 



7.177 
13.519 



829 
1,637 



225 
1.212 



100.0 
100.0 



71.5 
81.0 



24.8 

15.7 



90.252 



20.696 



2.466 



1.437 



100.0 



78.6 



18.0 



38,074 

5.402 

35,198 

941 

5,422 

14.102 

7,936 

126 

5.988 

46,573 

574 

5,068 

171.038 

51,527 

37,481 

20,295 

237 

132,142 

339 

921 

7,664 



10.585 

2.074 

13.594 

350 

1.380 
1.537 
1.515 



508 

9.II7 

151 

1.798 

21,876 

3,728 

3,560 

3,885 

38 

28,052 

49 

37 

345 



1,353 

73 

436 

11 

139 
424 
164 



442 
31 

75 
21 

38 
154 
119 



148 


30 


854 


465 


3 


109 


146 


67 


4,692 


1,906 


1,242 


519 


1,880 


68 


1,385 


139 


7 


19 


3,914 


1,967 


18 




129 


488 


451 


429 



100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 

100.0 

100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
1 00.0 
100.0 
100.0 
100.0 
100.0 
100,0 



75.5 
71.3 
71.4 
71.1 

77.7 
87.0 
81.5 

80.8 

89.7 
81.7 
68.6 
71.6 
85.7 

90.4 
87.2 
79.0 
78.7 
79.6 
83.5 
58.5 
86.2 



21.0 
27.4 
27.6 
26.5 

19.8 
9.5 
15.6 

16.7 

7.6 
16.0 
18.0 
25.4 
11.0 

6.5 
8.3 
15.1 
12.6 
16.9 
12.1 
2.3 
3.9 



1.6 

2.6 
1.7 
3.1 
2.3 
1.5 
2.5 
1.7 



2.9 
1.9 



1.0 



1.3 



2.7 


.9 


1.0 


.4 


.9 


.2 


.8 


1.6 


2.0 


.5 


2.6 


.9 


1.7 


1.2 


1.3 


1.3 


2.2 


.4 


1.5 


.8 


.4 


13.0 


2.1 


.9 


2.4 


I.O 


2.2 


.9 


4.4 


.2 


5.4 


.5 


2.3 


6.3 


2.4 


1.2 


44 




8.2 


31.0 


5.1 


4.8 



See footnotes at end of table. 



213 



Table 56. — Rural County Arrests, Distribution by Race, 1988 — Continued 



Offense charged 



Arrests under 1 8 



Total 



White 



Black 



American 
Indian 



Alaskan 
Native 



Pacific 
islander 



Percent distribution' 



Total 



White 



American 
Indian 



Alaskan 
Native 



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 intluence 

Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) 

Suspicion 

Curfew and loitering law violations , . . 
Runaways 



8.1.649 



89 

224 

200 

1.466 

9.289 

10,507 

2.766 

.W7 



1,979 
22,919 



24,898 



3,554 
461 
412 

26 

1 ,073 

5.644 

663 

7 

936 

2.875 

28 

172 
2,861 

13,070 

1,118 

2,552 

45 

12,692 

98 

1.575 

8.S89 



73.346 



76 

173 

124 

1.069 

8.062 

9,087 

2.343 

333 



1,442 
19,825 



21.267 



2,718 

402 

340 

15 

894 

5.240 

581 



8.14 

2,497 

11 

161 
2,719 

12,568 
1,044 

2,217 

40 

11,126 

81 

921 

7.664 



5.485 



2,318 



2,500 



100.0 



87.7 



9 

42 
62 
308 
739 
875 
240 
19 



3 

8 

7 

61 

285 

216 

68 

3 



I 
I 

7 

28 

203 

329 

115 



100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100,0 



85,4 
77.2 
62.0 
72.9 
86.8 
86.5 
84.7 
93.3 



421 

1.873 



79 
572 



37 
649 



100.0 
100.0 



72.9 
86.5 



1,294 



651 



686 



100.0 



85.4 



535 
47 
59 

5 

146 

204 

61 



123 
1 

5 



178 
II 



217 

I 

10 

68 

140 

32 

217 

4 

993 

■) 

37 
345 



26 
48 



113 
16 



1 
59 

230 
42 

100 
1 

259 
15 

129 

451 



15 
132 

18 
314 



488 
429 



100,0 
100,0 
100.0 
100,0 

100.0 
100,0 
100.0 

100,0 

100,0 
100.0 
100,0 
100,0 
100,0 

100,0 

100,0 
100.0 
100.0 
100,0 
100.0 
100.0 
100.0 



6.6 



10.1 
18.8 
31.0 
21.0 
8.0 
8.3 
8.7 
5.3 



21.3 

8,2 



9.2 



2.8 



3.4 
3.6 
3.5 
4.2 
3.1 
2.1 
2.5 



4.0 

2.5 



2.6 



76.5 


15.1 


3,5 


87.2 


10.2 


.2 


82.5 


14.3 


1.2 


57.7 


19,2 
13.6 




83.3 


2.3 


92.8 


3.6 


2.5 


87.6 


9.2 


1.7 


85 7 




14,3 


89.1 


7.3 


2.8 


86.9 


7.5 


1.7 


39.3 


3.6 
5.8 




93.6 


.6 


95.0 


2.4 


2.1 


96.2 


II 


1,8 


93.4 


2.9 


3.8 


86.9 


8.5 


3.9 


88.9 


8.9 


2.2 


87.7 


7.8 


2.0 


82,7 


2.0 


15.3 


58.5 


2.3 


8.2 


86.2 


3.9 


5.1 



See footnotes at end of table. 



214 



able 56. — Rural County Arrests, Distribution by Race, 1988 — Continued 



OfTense charged 



Arrests 1 8 and over 



Total 



White 



Black 



American 
Indian 



Alaskan 
Native 



Pacific 
Islander 



Percent distribution' 



Total 



White 



Black 



American 
Indian 



Alaskan 
Native 



Pacific 
Islander 



TOTAL 



vlurder and nonnegligent manslaughter 

-orcible rape 

^obber> 

\ggravated assault 

'3urglar> 

L,arceny-theft 

Motor vehicle theft 

\rson 



Violent cnme^ 
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 



747.014 



1 .364 

2.198 

2.221 

21.154 

2I.6.V3 

35.029 

5,379 

975 



26.937 
63.016 



89.953 



46.900 
7.119 

48.891 
1.297 

5.906 
10.573 
9.071 

149 

5.738 

54,134 

809 

6.907 

196,651 

43.946 
41.871 
23.152 

256 
1 53.383 

308 



603,954 



119,416 



17,619 



6.025 



100.0 



80.8 



16.0 



980 

1.570 

1.317 

15.376 

16.9.TO 

27,507 

4.457 

848 



354 

561 

849 

4.992 

4.140 

6.670 

731 

105 



20 



640 
419 
488 
139 
19 



10 

12 

20 

146 

144 

364 

52 

3 



100.0 
1 00.0 
100.0 
100.0 
100.0 
100.0 
100,0 
100.0 



71,8 
71,4 
59,3 
72,7 
78,3 
78,5 
82,9 
87,0 



26,0 
25,5 
38,2 
23,6 
19,1 
19,0 
13,6 
10,8 



19,243 
49.742 



6.756 
11.646 



750 
1.065 



188 
563 



100.0 
100.0 



71,4 
78,9 



25,1 
18,5 



68.985 



18.402 



100,0 



76,7 



20,5 



35.356 

5.000 

34,858 

926 

4.528 
8,862 

7.355 

120 

5.154 

44.076 

563 

4.907 

168.319 

38.959 

36.437 

18.078 

197 

121.016 

258 



10.050 
2.027 
13.535 

345 

1,234 
1.333 
1.454 



440 

8.900 

150 

1.788 

21.808 

3.588 
3.528 
3.668 

34 
27.059 

47 



.230 

72 

431 

11 

114 
284 
153 



122 

806 

3 

145 

4.633 

1 .0 1 2 
1.838 
1.285 

6 
3.655 

3 



264 
20 

67 
15 

30 
94 
109 



352 

93 

67 

1.891 

387 

68 

121 

19 

1.653 



IQO.O 
100.0 
100,0 
100,0 

100,0 
100,0 
100,0 

100,0 

100,0 
100,0 
100,0 
100,0 
100,0 

100,0 
100,0 
100.0 
100,0 
100,0 
100.0 



75.4 
70,2 
71,3 
71,4 

76,7 
83,8 
81,1 

80,5 

89,8 
81,4 
69,6 
71,0 
85,6 

88.7 
87.0 
78,1 
77,0 
78,9 
83.8 



21.4 
28.5 

27,7 
26,6 

20,9 
J26 
16,0 

17,4 

7,7 
16,4 
18,5 
25,9 
11,1 



8,4 
15,8 
13,3 
17,6 
15.3 



2.4 



1.5 
2.5 
1.6 
3.0 
1.9 
1.4 
2.6 
1.9 



2.8 
1.7 



2.0 



2.6 

1.0 

.9 



1.9 

2,7 
1,7 



2,1 
1,5 
,4 
2.1 
2.4 

2.3 
4.4 
5.6 
2.3 
2.4 
1.0 



.7 
.5 
.9 
.7 
,7 
1,0 
1.0 
.3 



.6 
.3 
.1 
1.2 



,5 

,9 

1,2 

1,3 

.4 
.7 
11.5 
1.0 
1.0 

.9 

.2 

.5 

7.4 

1.1 



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

^Violent crimes are olTenses of murder, forcible rape, robbery, and aggravated assault. 
'Propen> crimes are offenses of burglary, larceny-lheft. motor vehicle theft, and arson. 
^Includes arson. 



215 



Table 57.— Suburban Area' Arrest Trends, 1987-1988 

[4,048 agencies; 1988 estimated population 66.872,0001 



Offense charged 



Number of persons arrested 



Total all ages 



1987 



Percent 
change 



Under 18 years of age 



1987 



1988 



Percent 
change 



1 8 years of age and over 



1987 



1988 



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 



2,787,118 



.1.221 

6.821 

18,000 

70.058 

95.080 

324,776 

31,738 

4,249 



98,100 
455,843 



553,943 



6,193 



2,873,251 



3,074 
7,068 

18,180 
75,709 
92,821 
327,258 
34.926 
4.389 



104.031 
459,394 



563,425 



168,266 


183,574 


21,752 


22,366 


98,790 


101,580 


3,495 


3,603 


34,506 


38,065 


69,472 


69,828 


38,582 


40,616 



5,139 



22,124 


21,792 


181,023 


200,231 


2,602 


2,352 


18,847 


19,292 


521,784 


500,370 


147,671 


156,090 


175,840 


172,845 


128,217 


136,444 


4,253 


4,244 


532,648 


575,836 


2,582 


2.440 


16,494 


16.086 


40,616 


39.473 



+3.1 



491,576 



488,712 



2,295,542 



2,384,539 



-4.6 
+3.6 
+ 1.0 
+8.1 
-2.4 
+.8 
+ 10.0 
+3.3 



235 

942 

3.365 

8,702 

35,625 

106,679 

12,716 

2,066 



224 

1,001 

3,409 

9,303 

34,056 

104,627 

14,100 

2,163 



-4.7 
+6.3 
+ 1.3 
+6.9 
-4.4 
-1.9 
+ 10.9 
+4.7 



2,986 

5,879 

14.635 

61.356 

59,455 

218,097 

19,022 

2,183 



2,850 

6,067 

14.771 

66.406 

58.765 

222.631 

20.826 

2.226 



+6.0 

+.8 



13.244 
157,086 



13,937 
154,946 



+5.2 
-1.4 



84,856 
298,757 



90,094 
304,448 



+ 1.7 



170,330 



168,883 



383,613 



394.542 



+9.1 
+2.8 
+2.8 
+3.1 

+ 10.3 

+.5 

+5.3 

-17.0 

-1,5 
+ 10.6 
-9.6 
+2.4 
-4.1 

+5.7 
-1.7 

+6.4 
.2 

+8.1 
-5.5 
-2.5 
-2.8 



25.215 


27,093 


1,934 


1,886 


1,613 


1,692 


183 


214 


9.137 


9,804 


33,438 


32,635 


6,433 


6,749 



146 



204 



3,959 


3,926 


18,705 


18.703 


48 


93 


730 


654 


7.297 


6,449 


48,413 


46,801 


6,539 


5,934 


26,388 


27,014 


991 


945 


72,967 


73.474 


1,147 


1,158 


16,494 


16,086 


40,616 


39,473 



+7.4 

-2.5 

+4.9 

+ 16.9 

+7.3 
-2.4 
+4.9 

+39.7 



(5) 
+93.8 
-10.4 
-11.6 

-3.3 
-9.3 

+2.4 
-4.6 
+.7 

+ 1.0 
-2.5 
-2.8 



143,051 

19,818 

97,177 

3.312 

25,369 
36,034 
32,149 

6,047 

18,165 
162,318 

2,554 

18,117 

514,487 

99,258 

169,301 

101.829 

3.262 

459.681 

1,435 



156,481 

20,480 

99.888 

3.389 

28,261 
37,193 
33,867 

4,935 

17,866 

181,528 

2,259 

18,638 
493,921 

109,289 
166,911 
109,430 

3,299 
502,362 

1,282 



+3.9 



-4.6 
+3.2 

+.9 
+8.2 

-1.2 
+2.1 
+9.5 
+2.0 



+6.2 
+ 1.9 



+9.4 
+3.3 
+2.8 
+2.3 

+ 11.4 
+3.2 
+5.3 

-18.4 

-1.6 

+ 11.8 

-11.6 

+2.9 

-4.0 

+ 10.1 
-1.4 
+7.5 
+ 1,1 
+9.3 
-10.7 



'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. 

'Less than one-tenth of 1 percent. 



216 



fable 58.— Suburban Area' Arrest Trends, Sex, 1987-1988 
4,048 agencies: 1988 estimated population 66.872.000] 



Offense charged 



Males 



Total 



1987 



1988 



Percent 
change 



Under 18 



1987 



1988 



Percent 
change 



Females 



Total 



1987 



1988 



Percent 
change 



Under 18 



1987 



1988 



Perccnl 
change 



TOTAL 



vlurder and nonnegligenl 

manslaughter 

"orcible rape 

Jobbery 

\ggravated assault 

Burglary 

greeny-theft 

Motor vehicle theft 

^rson 



Violent crime' 
Property crime' 



Crime Index total* 



Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, 

possessing 

Vandalism 

Weapons; carrying, possessing, etc. 

Prostitution and commercialized 
vice 

Sex offenses (except forcible rape 
and prostitution) 

Drug abuse violations 

Gambling 

Offenses against family and 
children 

Driving under the influence 



Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) . 
Suspicion (not included in totals) 
Curfew and loitering law violations 
Runaways 



2,284,307 



2,802 

6.755 

16,572 

61.772 

87.059 

221.239 

28,466 

3.760 



87.901 
340.524 



428.425 



142,020 

14.073 

51.135 

2.2 1 3 

30.263 
62,525 
36,087 



2,312 

2 1 , 1 30 

151,884 

2,183 

16,628 
459,271 

119,159 

159.271 

107.376 

3.541 

444.795 

2,209 

11,972 

18,044 



2,353,620 



+3.(1 



380,0(111 



381,169 



+.3 



502,811 



519,631 



+3.3 



111,576 



107.543 



2.624 

6.981 

16.694 

66.764 

84.910 

225,076 

31,271 

3.899 



-6.4 

+3.3 

+.7 
+8.1 

-2.5 
+ 1.7 
+9,9 
+3.7 



214 

923 

3.160 

7.463 

32.795 

78.424 

1 1 . 1 60 

1.857 



204 

981 

3.159 

8.096 

31.509 

78,002 

12,487 

2,002 



-4,7 

+6.3 

(2) 

+8.5 

-3.9 

-.5 

+ 11.9 

+ 7.8 



419 

66 

1.428 

8.286 

8.021 

103.537 

3.272 

489 



450 

87 

1.486 

8,945 

7,911 

102,182 

3,655 

490 



+ 7.4 
+31.8 
+4.1 
+8.0 
-1.4 
-1.3 
+ 11.7 



21 

19 

205 

1,239 

2,8.30 

28,255 

1,556 

209 



20 

20 

250 

1.207 

2.547 

26,625 

1,613 

16! 



93,063 
345.156 



+ 5 9 
-14 



1 1.760 
124.236 



12.440 
124,000 



1 0. 1 99 
I 15.319 



10.968 
114,238 



H7.5 
-.9 



1,484 
32.850 



1.497 
30,946 



438,219 



+2.3 



135.996 



1 36.440 



125,518 



125.206 



34.334 



32.443 



154,906 
14.635 

52,225 
2.293 

33.2 1 3 
62.902 

37.858 



2,040 

20,850 

167,378 

1.965 

16.919 
439,174 

126,085 

156.771 

113.388 

3.574 

479.235 

2.075 

11.860 

18,130 



+9.1 
+4.0 
+2.1 
+3.6 

+9.7 

+.6 

+4.9 



-I 1.8 

-1.3 
+ 10-2 
-10,0 

+ 1,8 
-44 

+5.8 
-1.6 

+ 5,6 
+ .9 

+ 7.7 

-6.1 

-9 

+ .5 



19.681 

1.306 

1 .080 

125 

8.279 

30.543 

6.116 



46 

3.710 

15.853 

45 

486 
6.321 

35.126 

5.430 

21.563 

845 
57,433 

956 
11.972 
1 8.044 



21.265 

1.264 

1,133 

133 

8.791 

29.968 

6.441 



89 

3.667 

15.780 

88 

463 
5.592 

34.270 

5.033 

22.051 

794 
57.917 

946 
11.860 
18.130 



+8.0 
-3.2 

+4.9 
+6 4 

+6.2 
-19 

+ 5,3 



+95,6 

-4,7 
-11.5 

-2.4 
-7.3 
+ 2,3 
-6.0 
+.8 
-1.0 
-.9 
+.5 



26.246 
7.679 

47.655 
1.282 

4.243 
6,947 

2.495 



3.881 

994 

29.139 

419 

2,219 
62,513 

28.512 
16.569 
20.841 

712 
87.853 

373 

4,522 

22.572 



28.668 
7,731 

49.355 
1.310 

4.852 
6.926 

2.758 



3.099 

942 

32.853 

387 

2.373 
61.196 

30.005 
16.074 
23.056 

670 
96.601 

365 

4.226 

21.343 



+9.2 

+.7 

+3.6 

+ 2.2 

+ 14.4 

-.3 

+ 10,5 



-20,1 

-5.2 

+ 12.7 

-7.6 

+6,9 
-2,1 

+ 5.2 
-3.0 

+ 10,6 
-5.9 

+ 10.0 
-2,1 
-6.5 
-5.4 



5.534 

628 

533 

58 

858 

2.895 

317 



100 

249 

2.852 

3 

244 
976 

13.287 
1.109 

4,825 

146 

15,534 

191 

4,522 

22,572 



5.828 

622 

559 

81 

1.013 

2.667 

308 



115 

259 

2.923 

5 

191 

857 



12,531 

901 

4.963 

151 

15.557 

212 

4.226 

21,343 



-3.6 



-4.8 

+5.3 

+22.0 

-2.6 

-10.0 

-5.8 

+3.7 

-23.0 



T.9 
-5.8 



-5.5 



+5.3 
-1.0 

+4.9 

+39.7 

+ 18.1 
-7.9 



+ 15.0 

+4.0 

+2.5 
+66.7 

-21.7 
-12.2 

-5.7 
-18.8 

+2.9 
+3.4 
+.1 
+ 11.0 
-6.5 
-5.4 



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

•Less than one-tenth of one percent. 

'Violent crimes are oiTenses ol^ murder, forcible rape, robbery, and aggravated assault. 

'Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 

'Includes arson. 



217 



Table 59.— Suburban Area' Arrests, Distribution by Age, 1988 

[4.656 agencies; 1988 estimated population 75.593,000] 



Offense charged 



Total 
all 
ages 



Ages 

under 

15 



Ages 

under 

18 



Ages 
18 and 



Age 



Under 
10 



10-12 



13-14 



20 



TOTAL 

Percent distribution^ 

Murder and nonnegligent 

manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle theft 

Arson 

Violent crime' 

Percent distribution- 

Property crime' 

Percent distribution^ 

Crime Index total' 

Percent distribution- 

Other assaults 

Forgery and counterfeiting 

Fraud 

Embezzlement 

Stolen property; buying, receiving, 

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 

iraft'icl 

Suspicion 

Curfew and loitering law 

violations 

Runaways 



3.285,254 
100.0 



3,471 

8,272 

21.082 

86.709 

105,878 

375,078 

39.589 

5,146 



119.534 
100.0 

525,691 
100,0 



645,225 
100,0 



211.552 

25.448 

111.282 

4,109 

42,995 
80,472 

46.239 



6,006 

24,609 
230.580 

2,774 

24.012 
562,927 

175,311 

197,080 

166,253 

4.904 

656.459 
2.798 

18.781 
45.438 



178,076 
5.4 



558,769 
17.0 



2,726,485 
83.0 



16,061 

.5 



44,409 
1.4 



117,606 
3.6 



«,221 
3.0 



126,039 
3.8 



156,433 

4,8 



174.940 

5,3 



162,773 
5.0 



149,065 
4.5 



37 

402 

953 

3,168 

14,088 

49,629 

4,033 

1,647 



262 

1,171 

3,920 

10,861 

38,500 

119,086 

15.944 

2,487 



3,209 

7.101 

17,162 

75,848 

67,378 

255,992 

23,645 

2,659 



27 

35 

261 

1,305 

4.541 

61 

469 



5 

81 

188 

779 

3,719 

14.636 

442 

535 



31 

294 

730 

2,128 

9,064 

30,452 

3,530 

643 



34 

209 

731 

1,930 

7.000 

20,084 

3.776 

311 



72 

248 

962 

2,442 

8,167 

23.102 

4.256 

267 



119 

312 

1.274 

3,321 

9,245 

26,271 

3.879 

262 



150 

372 

1,486 

3.466 

9,145 

24.065 

3.152 

200 



170 

346 

1.321 

3,276 

7,096 

18.415 

2.383 

173 



166 

323 

1,209 

3.341 

5.353 

14.797 

1.873 

158 



4,560 

3,8 

69.397 

13.2 



16.214 

13.6 

176.017 

33,5 



103.320 
86,4 

349.674 
66.6 



324 

.3 

6.376 

1.2 



1.053 
.9 

19,332 
3,7 



3,183 

2,7 

43,689 

8.3 



2,904 

2.4 

31,171 

5.9 



3,724 

3,1 

35,792 

6,8 



5,026 

4,2 

39,657 

7,5 



5,474 

4,6 

36,562 

7,0 



5,113 

4.3 

28.067 

5.3 



5.039 

4,2 

22,181 

4.2 



73.957 
11.5 



192.231 
29.8 



452,994 
70.2 



6.700 
1,0 



20,385 
3,2 



46,872 

7,3 



34,075 

5,3 



39,516 
6,1 



44,683 
6,9 



!,036 
6,5 



33,180 
5,1 



27,220 
4,2 



11,126 

316 

.301 

8 

2.856 
17,954 

2,036 



55 

2,120 

2,533 

17 

266 
114 

3,431 

727 

10,145 

258 

25,924 
425 

5,620 
17,887 



30,871 

2.102 

1 .903 

245 

11,034 
36,915 

7,695 



230 

4,362 

21,408 

100 

790 

7,237 

52.500 

6,762 

31,981 

990 

83,904 
1,290 

18,781 
45,438 



180,681 

23,346 

109.379 

3.864 

31,961 
43,557 

38,544 



5,776 

20.247 

209,172 

2,674 



23.222 
555,690 

122.811 
190.318 

134.272 
3,914 



572,555 
1,508 



1,065 
18 

47 



3,022 
115 



211 

65 

1 

87 
33 

1.36 
44 

928 
15 

!,6I7 

35 

134 
667 



3,081 
55 
54 



532 
5.750 



476 



524 

239 

6 

55 
12 

246 

46 

2,758 

36 

5,989 
115 

956 
3,079 



6,980 

243 

200 

6 

2,206 
9,182 

1.445 



39 

1.385 

2.229 
10 

124 
69 

3,049 

637 

6,459 

207 

17,318 

275 

4,530 
14,141 



5.213 

315 

214 

16 

2.171 
5.697 

1,361 



34 

769 

3,365 

15 

144 
210 

6.473 

1.015 

5.323 

183 

14,792 
263 

4,364 
12.209 



6,403 
553 
431 

75 

2.746 
6,524 



690 

5,793 



139 
1,589 

15.137 

1,785 

7,166 

246 

19,156 
331 

5.323 
10,572 



8.129 
918 
957 
146 

3.261 
6,740 

2,497 



100 

783 

9,717 

46 

241 
5.324 

27.459 

3,235 

9,347 

303 

24,032 



3,474 
4,770 



8,317 

1,313 

2,139 

205 

3,458 
5,308 

2.962 



857 

13,197 

36 

579 
13,341 

33.265 

5.954 

10.036 

333 

31.248 
134 



8.097 
1.475 
3.371 

215 

2,931 
3.928 

2.539 



257 

760 

12,903 

56 

566 
16.365 

28.074 

6.292 

8.861 

292 

32,496 
115 



8,124 

1,478 

4,203 

204 

2,322 
3,049 

2,158 



291 

764 
12.435 

47 

671 
18.361 

20.434 

6.321 

8,321 

234 

32,323 
105 



See tbolnotes at end of (able. 



218 



fable 59. — Suburban Area' Arrests, Distribution by Age. 1988 — Continued 



Offense charged 



Age 



:?-:9 



30-34 



35-39 



45-49 



50-54 



55-59 



60-64 



65 and 
over 



TOTAL 

Percent distribution^ 



4urder and nonnegligeni 

manslaughter 

"orcible rape 

tobbery 

aggravated assault 

iurglar>' 

greeny-theft 

■vlotor vehicle thefi 

Arson 



Violent crime' 

Percent distribution' 
Propert\ crime* — 
Percent distribution' 



Crime Index total* . 
Percent distribution' 



Diher assaults 

■orgerv and counterfeiting 

-raud 

imbezzlemenl 

stolen property; buying, receiving, 

possessing 

v'andalism 

vVeapons; 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 



135.742 
4.1 



139 

352 

1,058 

3,636 

4,044 

12.128 

1.397 

146 



5,185 

4.3 

17.715 

3,4 



22.900 
3.5 



8,862 

1,318 

4.994 

191 

1.819 

2.571 

2.018 



324 

767 

12.301 

50 

916 
25,263 

4,287 

7.701 

7.699 

170 



31.505 
86 



134.555 
4.1 



136.360 
4.2 



592,160 
18.0 



427.128 
13.0 



272,712 
8.3 



164,712 
5.0 



95,246 
2.9 



56,680 
1.7 



37,084 
1.1 



23,639 

.7 



137 

380 

1.031 

3.693 

3.600 

11,472 

1.343 

123 



156 

374 

1.055 

3.859 

3.553 

11.237 

1,197 

12S 



619 
1.538 

4.125 
17.636 
13,582 
48.631 

4.763 
527 



526 

1,195 

2,536 

13.345 

8.350 

38.562 

2,890 

348 



378 

768 

1.305 

8,420 

4.451 

25.293 

1.494 

293 



239 

453 

525 

4,973 

2,025 

14,375 

761 

152 



125 
258 
221 

2.839 
826 

8.262 
362 
101 



87 

150 

93 

1.603 

412 

5.104 

169 

66 



66 

94 

47 

1,000 

251 

3,923 

109 

41 



5.241 

4,4 

16.538 

3,1 



5.444 

4,6 

16.115 

3,1 



23,918 
20.0 

67,503 
12-8 



17,602 

14.7 

50.150 

9.5 



10.871 
9.1 

31.531 
6.0 



6.190 

5.2 

17.313 

3.3 



3.443 
2.9 

9.551 
1.8. 



1.933 
1,6 

5.751 
I.I 



1.2(17 

1,0 

4.324 

8 



21.779 
3.4 



21.559 
3,3 



91.421 
14.2 



67,752 
10.5 



42,402 
6.6 



23,503 
3.6 



12,994 
2.0 



7,684 
1.2 



5,531 
9 



9,277 

1,252 

5.251 

197 

1.746 
2.345 

2.035 



355 

761 

12.187 

64 

981 

26.342 

3.546 

8.137 

7,367 

185 

30,647 
101 



9,419 
1,169 

5,595 
202 

1,580 
2.395 

1.946 



384 

866 

12.395 

54 

1.044 

27.790 

3.006 
8.042 

7.354 
172 

31.312 
76 



42.536 

5.467 

25.951 

822 

6.326 
8.805 

8.046 



1.559 

3.953 

53.374 

321 

5,485 
127,891 

10,045 
38,284 
28,230 

711 

132,621 
312 



30,880 

4,079 

21,204 

658 

4.249 
5.597 

5.846 



1 .028 

3.321 

35,058 

308 

4.912 
95.509 

5.396 

31,678 

19.175 

590 

89,681 
207 



19,450 

2,289 

14,380 

450 

2,613 
3,017 

3.541 



515 

2.448 

18,371 

307 

3,355 
64,970 

3,287 

23,599 

11,371 

466 

55,778 
103 



11.814 
1.162 

8.824 
249 

1,364 
1,661 

2,217 



1,728 

8,271 

337 

2,026 
44,377 

2,066 
15,810 

6.797 
227 

31,995 
76 



6,620 
547 

4,207 
181 

640 
858 

1,235 



1,081 

3,373 

334 

989 
28.110 

1.302 

10.895 

4.096 

130 

17,494 
35 



3,598 

242 

2.189 

52 

338 
462 



90 

680 

1,529 

256 

464 

17,849 

772 

7,383 

2,435 

80 

9,755 
23 



2,171 

145 

1,137 

47 

200 
246 

478 



565 
729 
200 

220 
1 1 .780 

551 

5,493 

1,611 

51 

5,862 
13 



46 
59 
30 
607 
107 
2,863 
42 
36 



742 

,6 

3,048 

,6 



3,790 
.6 



1,278 

69 

539 

14 

125 



289 



419 
391 
131 

109 

7.422 

387 

3,728 

1.112 

33 

3.578 
7 



22,805 

.7 



60 
68 
13 
6.32 
95 
3.952 
50 



773 

.6 

4.119 

.8 



4,892 



.358 
42 

632 
11 

74 
208 

271 



505 
251 
135 

113 
6.017 

440 
3,062 
1,115 

29 

3.618 
10 



'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, robberv'. and aggravated assault 

^Property crimes are offenses of burglary, larceny-theft, motor vehicle theft, and arson. 

'Includes arson. 



219 



Table 60. — Suburban Area' Arrests of Persons under 15, 18, 21 and 25 Years of Age, 1988 

[4.656 agencies; 1988 estimated population 75,593,000) 



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 

Robber\' 

Aggravated assault 

Burglar\' 

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 

Runawavs 



3,285,254 



3.471 

8.272 

21.082 

86.709 

105.878 

375.078 

39.589 

5.146 



119.534 
525.691 



645.225 



211.552 
25.448 

111.282 
4.109 
42.995 
80.472 
46.239 

6.006 

24.609 

230.580 

2.774 

24.012 

562.927 

175.311 

197.080 

166.253 

4.904 

656,459 

2.798 

18.781 

45.438 



178.076 



558.769 



1,045,547 



1.59.3,088 



5.4 



17.0 



37 

402 

953 

3.168 

14.088 

49.629 

4,033 

1,647 



262 

1,171 

3.920 

10,861 

38,500 

119,086 

15.944 

2,487 



748 

2.212 

7.936 

20.944 

60.094 

176.363 

2.3.352 

3,018 



1,325 

3,689 

12,187 

35,654 

75,779 

224,113 

28,949 

3,560 



LI 

4.9 

4,5 

3.7 

13.3 

13.2 

10.2 

32.0 



7.5 
14,2 
18,6 
12.5 
36.4 
31.7 
40.3 
48,3 



4,560 
69,397 



16.214 
176.017 



3 1 .840 
262.827 



52.855 
332,401 



3.8 
13.2 



13.6 

33 5 



73.957 



192.231 



294.667 



385,256 



11.5 



29.8 



11,126 

316 

301 

8 

2,856 

17.954 

2,036 

55 

2,120 

2.533 

17 

266 

114 

3,431 

727 
10,145 

258 
25.924 

425 
5.620 
17.887 



.30.871 

2.102 

1 .903 

245 

11.034 

36.915 

7.695 

230 

4.362 

21.408 

100 

790 

7.237 

52,500 
6,762 

31,981 
990 

83,904 
1,290 

18,781 

45,438 



55,409 
6.368 
1 1.616 
869 
19,745 
49,200 
15,354 

1.000 
6.743 

59.943 

239 

2.606 

55.304 

134,273 

25.329 

59.199 

1.849 

179,971 

1,644 

18,781 

45,438 



91,847 
1 1 ,406 
32,219 
1,625 
27,066 
59,436 
23,517 

2.369 
9,909 

109.233 

445 

6.339 

159.002 

151.065 

57.148 

90.3 1 1 

2,587 

306,077 

2.012 

18,781 

45,438 



5,3 
1.2 

.3 
1 

6.6 

22.3 

4.4 

.9 
8,6 
LI 

.6 
LI 
(5) 

2.0 

,4 

6.1 

5.3 

3,9 

15.2 

29.9 

39.4 



14,6 

8.3 

1.7 

6,0 

25 7 

45,9 

16,6 

3.8 
17,7 
9.3 
3,6 
3,3 
1,3 

29.9 

3,4 

19.2 

20,2 

12.8 

46,1 

100.0 

100.0 



31.8 



21.5 
26.7 
37.6 
24.2 
56.8 
47.0 
59.0 
58.6 



26.6 
50.0 



26.2 
25.0 
10,4 
21,1 
45.9 
61.1 
33.2 

16,7 
27,4 
26,0 

8,6 
10,9 

9.8 

76.6 
12.9 
35.6 
37,7 
27,4 
58.8 
100.0 
100.0 



48,5 



38,2 
44,6 
57.8 
41.1 
71.6 
59,8 
73.1 
69.2 



44.2 
63.2 



59.7 



43.4 
44.8 
29.0 
39.5 
63.0 
73,9 
50.9 

39,4 
40,3 
47.4 
16,0 
26,4 
28,2 

86,2 
29,0 
54,3 
52.8 
46.6 
71,9 
100,0 
100,0 



'Includes suburban city and county law enforcement agencies within metropolitan areas. Excludes central cities, 

^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. 



Suburban cities and counties are also included in other groups 



220 



ible 61. — Suburban Area' Arrests, Distribution by Sex, 1988 

l656 agencies; 1988 estimated population 75,593.000) 



Offense charged 



Number of persons arrested 



Total 



Male 



Female 



Percent 
male 



Percent 
female 



Percent distribution^ 



Total 



Male 



Female 



TOTAL 

urder and nonnegligent manslaughter 

rcible rape 

jbbery 

ggravated assault 

irglary 

^rceny-theft 

otor vehicle theft 

son 

Violent crime' 

Property crime' 

Crime Index total' 

.her assaults 

irgery and counterfeiting 

aud 

nbezzlement 

olen property; buying, receiving, possessing 

I indalism 

'Capons; carrying, possessing, etc 

■ostitution and commercialized vice 

■X offenses (except forcible rape and 

prostitution) 

rug abuse violations 

ambling 

ffenses against family and children 

riving under the influence 

jquor la\^'S 

runkenness 

isorderly conduct 

agrancy 

II other offenses (except traffic) 

jspicion 

urfew and loitering law violations 

unawavs 



3,285,254 



3,471 

8,272 

21,082 

86,709 

105,878 

375,078 

39.589 

5.146 



119.534 
525,691 



645.225 



211,552 
25,448 

111.282 
4,109 
42,995 
80.472 
46,239 

6,006 

24,609 

230,580 

2,774 

24.012 
562,927 

175,311 

197,080 

166.253 

4,904 

656,459 

2.798 

18,781 

45,438 



2,691,246 



594,008 



81.9 



18.1 



100.0 



2.978 

8.167 

19,325 

76,314 

96,880 

258,227 

35,425 

4,567 



493 
105 

1.757 

10,395 

8,998 

116.851 

4,164 

579 



85.8 
98.7 
91.7 
88.0 
91,5 
68.8 
89,5 
88.7 



106.784 
395,099 



12,750 
130,592 



89.3 

75,2 



14.2 


.1 


1.3 


.3 


8.3 


.6 


12,0 


2,6 


8,5 


3,2 


31.2 


11.4 


10.5 


1.2 


11.3 


2 


10.7 


3.6 


24.8 


16.0 



501,883 



143,342 



77,8 



19.6 



178,229 
16,704 
57,890 
2,616 
37,532 
72,432 
43,007 

2,266 

23,539 

193,052 

2,342 

21,209 
493,587 

141,709 

178,853 

137,787 

4,167 

545,533 

2,362 

13,781 

20,766 



33,323 
8,744 

53,392 
1,493 
5,463 
8,040 
3,232 

3,740 

1,070 

37,528 

432 

2,803 
69,340 

33,602 

18,227 

28,466 

737 

110,926 

436 

5,000 

24,672 



84.2 
65.6 
52.0 
63.7 
87.3 
90.0 
93.0 

37.7 

95.7 
83.7 
84.4 
88,3 
87,7 

80.8 
90,8 
82.9 
85.0 
83,1 
84.4 
73,4 
45.7 



15.8 
34.4 
48.0 
36.3 
12.7 
10.0 
7,0 

62.3 



6.4 
.8 
3.4 
.1 
1.3 
2.4 
1,4 



4.3 


.7 


16.3 


7,0 


15.6 


,1 


11.7 


,7 


12.3 


17.1 


19.2 


5.3 


9.2 


6,0 


17.1 


5.1 


15.0 


.1 


16.9 


20,0 


15.6 


,1 


26.6 


,6 


54.3 


1,4 



100,0 



.1 

,3 
,7 
2,8 
3.6 
9.6 
1.3 
.2 



4.0 
14.7 



18,6 



6,6 

.6 

2,2 

,1 

1,4 
2,7 
1.6 



.9 

7,2 

,1 

,8 

18.3 

5.3 

6.6 

5.1 

.2 

20.3 

.1 

.5 



100.0 



.1 

(3) 
.3 
1.7 
1.5 
19.7 
.7 
.1 



22.0 



5.6 
1.5 
9.0 
.3 
,9 
1.4 
.5 



.2 

6.3 

.1 

.5 

11.7 

5.7 

3.1 

4,8 

.1 

18,7 

,1 

,8 

4,2 



'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. 

'Less than one-tenth of one percent. 

'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. 



771 



Table 62.— Suburban Area' Arrests, Distribution by Race, 1988 

[4.641 agencies; 1988 estimated population 75.424.000) 





Total arrestb 


Percent distribution- 


Offense charged 


Total 


White 


Black 


American 
Indian 

or 
Alaskan 
Native 


Asian 

or 
Pacific 
Islander 


Total 


White 


Black 


American 
Indian 

or 
.Maskan 
Native 


Asian 

or 
Pacific 
Islander 


TOT4L 


3.272.163 


2,626.180 


619,483 


13,815 


12,685 


100.0 


80.3 


18.9 


.4 


.4 






Murder and nonnegligent manslaughter . . . 


3.461 

8.257 

21.052 

86.570 

105.720 

374,275 

39,5 1 5 

5.138 


2.303 

5.749 

10.513 

62.006 

82.255 

270.592 

28.839 

4.329 


1,117 
2,438 
10,391 
23,651 
22,606 
99,145 
10.262 
764 


13 

34 

87 

507 

428 

1.760 

153 

23 


28 

36 

61 

406 

431 

2.778 

261 

22 


100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


66.5 
69.6 
49.9 
71.6 
77.8 
72.3 
73,0 
84,3 


32.3 
29.5 
49.4 
27.3 
21.4 
26.5 
26,0 
14,9 


.4 
.4 
.4 
.6 
.4 
.5 
.4 
.4 


,8 

.4 




.3 




.5 




.4 




.7 




.7 




.4 








119,340 
524,648 


80.571 
386,015 


37.597 
132.777 


641 
2.364 


531 
3.492 


100.0 
100.0 


67,5 
73,6 


31.5 
25,3 


,5 
,5 


A 




.1 








643,988 


466.586 


170.374 


3.005 


4.023 


100.0 


72.5 


26.5 


.5 


.( 








211,349 

25,258 

111.240 

4.106 

42.873 
80.263 
46.138 

6.028 

24,568 

229,993 

2,773 

23.940 
556.756 

174.595 

196.399 

165.725 

4.903 

654.604 

2.783 

18.625 

45.256 


160.278 

17.941 

77.877 

2.808 

28,895 
68,549 
34.229 

4.127 

21,375 

172.723 

1.875 

16.120 
515,204 

164.197 

171.346 

132.816 

3.833 

506.222 

2.310 

16.796 

40,073 


49.225 
7.140 

32.851 
1.268 

1 3.589 
11.182 
11.545 

1.789 

2.979 

56.179 

857 

7.673 
37.558 

9.276 

3 1 .964 

1.002 

143.839 

448 

1,706 

4,747 


972 
99 

173 
19 

172 
262 
129 

34 

92 
591 

3 

76 
1.898 

735 

2.225 

557 

54 

2.388 

10 

55 

266 


874 

78 

339 

1 1 

217 
270 

235 

78 

122 

500 

38 

71 

2.096 

387 

536 

388 

14 

2.155 

15 

68 

170 


100.0 
100.0 
100,0 

100.0 

100.0 
100.0 
100.0 

100.0 

100.0 
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 
71.0 
70.0 
68.4 

67.4 
85,4 

74,2 

68.5 

87,0 
75,1 
67.6 
67.3 
92.5 

94.0 
87.2 
80.1 
78.2 
77.3 
83.0 
90.2 
88.5 


23.3 
28.3 
29.5 
30,9 

31.7 
13.9 
25,0 

29.7 

12.1 
24.4 
30.9 
32,1 
6.7 

5,3 
11.4 
19.3 
20.4 
22.0 
16.1 

9.2 
10.5 


.5 
.4 

-) 

.5 

.4 
.3 

.3 

,6 

.4 
.3 
.1 
.3 
.3 

.4 
I.I 
.3 
1.1 
.4 
.4 
.3 
.6 


.i 




.: 












4 






Weapons; carrying, possessing, elc 

Prostitution and commercialized vice 

Sex offenses (except forcible rape and 


1.: 








1.' 


Offenses agamst family and children 


£ 












'^ 






All other offenses (exceot traffic) 








Curfew and loitering law violations 


I 







See footnotes at end of table, 



222 



'able 62. — Suburban Area' Arrests, Distribution by Race, 1988 — Continued 



Offense charged 



Arrests under 1 S 



Total 



White 



Black 



American 
Indian 



Alaskan 
Native 



Pacific 
Islander 



Percent distribution^ 



Total 



White 



Black 



American 
Indian 



Alaskan 

Native 



Pacific 
Islander 



TOTAL 

lurder and nonnegligent manslaughter 

orcible rape 

.obbery 

.ggravated assault 

•urglary 

.arceny-theft 

iotor vehicle theft 

,rson 

Violent crime' 

Property crime* 

Crime Index tolaP 

)ther assaults 

orgery and counterfeiting 

"raud 

.mbezzlement 

tolen property; buying, receiving. 

■ossessing 

'andalism 

•Veapons; carrying, possessing, etc. , . . 

Prostitution and commercialized vice - 
iex offenses (except forcible rape 

and prostitution) 

)rug abuse violations 

jambling 

Offenses against family and children . 
!)riving under the influence 

wiquor laws 

Drunkenness 

Disorderly conduct 

v'agrancy 

^11 other offenses (except traffic) 

suspicion 

Turfew and loitering law violations , . . 
Runaways 



556.722 



259 

1,164 

.1,915 

10,8.15 

38.440 

118.778 

15,900 

2,480 



16,173 
175,598 



191.771 



30.800 

2.088 

1.903 

245 

10,977 

36.806 

7.676 

212 

4.350 

21.113 

100 

772 

7.200 

5 2,. 306 
6,716 

31.921 
989 

83.607 
1,289 

18,625 

45,256 



451,678 



89,890 



2,083 



3.071 



100.0 



82.9 



151 

780 

1.918 

7.300 

32.133 

92.495 

11,705 

2,203 



103 

376 

1,952 

3.41 1 

5.925 

24.633 

3.969 

254 



3 

23 

57 

160 

517 

62 

7 



22 
67 

222 
1.133 

164 
16 



100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



58.3 
67,0 
49.0 
67.4 
83.6 
77.9 
73,6 
88.8 



39.8 
32.3 
49.9 
31.5 
15.4 
20.7 
25 
10.2 



10,149 
138.536 



5.842 
34.781 



83 
746 



99 
1.535 



100.0 
100.0 



62,8 
78.9 



36,1 
19.8 



148,685 



40,623 



829 



1,634 



100.0 



77.5 



23,021 

1,784 

1.470 

187 

7,378 

32,742 

5.858 

145 

3.665 

16,562 

54 

682 

6,959 

50,801 
6,360 

25,832 
865 

70.636 
1,123 

16,796 

40,073 



7,506 

281 

409 

55 

3,465 
3.805 

1.752 

64 

647 

4.443 

46 

77 

186 



282 
5.886 

118 
2,426 

155 
1,706 
4,747 



133 
5 
4 
I 

44 
96 
18 



12 
65 



140 
18 
20 



90 
163 
48 



26 
43 



6 

35 

182 

54 

89 

1 

182 

4 

55 

266 



7 
20 

112 

20 

114 

5 

363 

7 

68 

170 



100.0 
100.0 
100.0 
100,0 

100 
100,0 
100.0 

100 

100.0 
100.0 
100,0 
100.0 
100,0 

100.0 
100.0 
100.0 
100.0 
1 00.0 
100.0 
100,0 

100.0 



74.7 
85.4 

77.2 
76.3 

67.2 
89.0 
76.3 

68.4 

84.3 
78.4 
54.0 
88.3 
96.7 

97.1 
94,7 
80.9 
87.5 
84.5 
87.1 
90.2 
88.5 



24.4 
13.5 
21.5 
22.4 

31.6 
10.3 
22.8 

30.2 

14.9 
2 1 .0 
46.0 
10.0 
2.6 

2.3 
4.2 
18.4 
11.9 
14 9 
12.0 
9.2 
10.5 



1.9 
.4 
.6 
.6 
.6 
1.0 
1.0 
.6 



.5 
.9 
I.I 
.8 

.8 
.4 
.6 



See footnotes at end of table. 



223 



Table 62. — Suburban Area' Arrests, Distribution by Race, 1988 — Continued 



Offense charged 



Arrests 18 and over 



Total 



White 



Black 



American 
Indian 



Alaskan 
Native 



Asian 

or 
Pacific 
Islander 



Percent distribution^ 



Total 



White 



Black 



American 
Indian 



Alaskan 
Native 



TOTAL 



Murder and nonnegligent manslaughter 

Forcible rape 

Robbery 

Aggravated assault 

Burglary 

Larceny-theft 

Motor vehicle 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 intluence 



Liquor laws 

Drunkenness 

Disorderly conduct 

Vagrancy 

All other offenses (except traffic) . . 

Suspicion 

Curfew and loitering law violations 
Runaways 



2,715,441 



3.202 

7,093 

17,137 

75,735 

67,280 

255,497 

23,615 

2,658 



103,167 
349,050 



452,217 



180,549 

23,170 

109,337 

3,861 

31,896 
43,457 
38,462 

5,816 

20,218 

208,880 

2,673 

23,168 
549,556 

122,289 
189,683 
133,804 

3,914 
570,997 

1,494 



2,164,502 



529,593 



11,732 



9.614 



100.0 



79.7 



2.152 

4.969 

8.595 

54.706 

50,122 

178,097 

17,134 

2,126 



1,014 

2,062 

8,439 

20,240 

16,681 

74,512 

6,293 

510 



13 

31 

64 

450 

268 

1,243 

91 

16 



23 

31 

39 

339 

209 

1,645 

97 

6 



100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100,0 
100.0 



67.2 
70.1 
50.2 
72.2 
74.5 
69.7 
72.6 
80.0 



70,422 
247,479 



31,755 
97,996 



558 
1,618 



432 
1,957 



1 00.0 
100.0 



68.3 
70.9 



317,901 



129,751 



2,176 



2,389 



100.0 



70.3 



137,257 

16,157 

76,407 

2,621 

21,517 
35,807 
28,371 

3,982 

17,710 

156,161 

1,821 

15,438 
508,245 

113,396 
164,986 
106,984 

2,968 
435,586 

1,187 



41,719 
6,859 

32,442 
1,213 

10,124 
7,377 
9,793 

1,725 

2,332 

51,736 

811 

7,596 
37,372 

8,065 

22,010 

26,078 

884 

131,413 

293 



839 
94 

169 
18 

128 
166 
III 

32 

80 

526 

3 

70 

1,863 

553 

2,171 

468 

53 

2,206 

6 



734 

60 

319 

9 

127 
107 
187 

77 

96 

457 

38 

64 

2,076 

275 

516 

274 

9 

1,792 



100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 

100.0 

100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 



76.0 
69.7 
69.9 

67.9 

67.5 
82.4 

73.8 

68.5 

87.6 
74.8 
68.1 
66.6 
92.5 

92.7 
87.0 
80.0 
75.8 
76.3 
79.5 



19.5 



31.7 
29.1 
49.2 
26.7 
24.8 
29.2 
26.6 
19.2 



30.1 



28.7 



23.1 
29.6 
29.7 
31.4 

31.7 
17.0 

25.5 

29.7 

11.5 
24.8 
30.3 
32.8 
6.8 

6,6 
11.6 
19.5 
22.6 
23.0 
19.6 



.4 
.3 
,1 
,3 
,3 

.5 
l.I 

.3 
1.4 

.4 

,4 



'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, larceny-theft, motor vehicle theft and arson, 

'Includes arson. 



224 



fable 63.— Arrests bj Slate, Crime lndc\ Offenses, 1988 

1988 estimated population) 



Total' 

all 
elasses 



Crime^ 
Index 
total 



Violent' 
erime 



Property* 
crime 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggravated 
assault 



Burglary 



Larceny- 
theft 



Motor 
vehicle 

theft 



VLABAMA: 218 agencies; 
)opulation 3.690.000: 

Jnder 18 

folal all ages 



VLASKA: 22 agencies; 
lopulations 417.000: 

Jnder 18 

Total all ages 



ARIZONA: 73 agencies; 
jopulation 3.281.000: 

Jnder 18 

Total all ages 



ARKANSAS: 177 agencies; 
rapulation 2.311.000: 

Jnder 18 

Total all ages 



:aLIFORNIA: 661 agencies; 
lopulation 27,694.000: 

Jnder 18 

Total all ages 



OLORADO: 223 agencies: 

{ lopulation 3.173.000: 

Jnder 18 ; 

Total all ages 



rONNECTICUT: 94 

igencies; 

50pulation 2,620.000: 

Jnder 18 

Total all ages 



DELAWARE: 40 agencies; 
OTpulation 652,000: 

Under 18 

Total all ages 



DISTRICT OF COLUMBIA 

2 agencies; 
population 620,000: 

Under 18 

Total ail ages 



FLORIDA' 

GEORGIA: 375 agencies; 
population 6.000.000: 

Under 18 

Total all ages 



HAWAII: 5 agencies; 
population 1,093,000: 

Under 18 

Total all ages 



IDAHO: 90 agencies; 
population 841.000: 

Under 18 

Total all ages 



ILLINOIS: 518 agencies; 
population 11,041.000: 

Under 18 

Total all ages 



14,317 

173.392 



4.462 
28,416 



44.939 
208.777 



13.572 
120.340 



217.961 
1.702.585 



44,179 
226,671 



26,543 
199,284 



4.947 
31.107 



6.628 
42.534 



21.536 
309.992 



16,226 
59.383 



11.584 
37.604 



118.958 
529.266 



5.959 
28.046 



1.912 
5.389 



17.880 
57.286 



5.416 
1 9, 1 56 



94.090 
398,136 



15.792 
45.652 



8.794 
42.266 



1.89 
6.828 



2.280 
10.193 



9.668 
65.740 



5,463 
12.377 



4.904 
9,334 



41.748 
131.794 



391 
6.102 



79 
860 



1.183 
8,543 



360 
3.236 



13,478 
113.048 



998 
6.619 



1.090 
8.655 



190 
1.332 



499 
2.913 



1 .404 
17.412 



248 
1.222 



241 

1.257 



5.337 
23.474 



5,568 
21,944 



1,833 
4,529 



16.697 
48.743 



5.056 
15.920 



80,6 1 2 
285,088 



14.794 
39.033 



7.704 
33.611 



1.703 
5.496 



1.781 
7.280 



8.264 
48.328 



5.215 
11,155 



4.663 
8.077 



36.411 
108.320 



19 
310 



17 
193 



10 

179 



400 
3,125 



14 

154 



25 
181 



26 
186 



47 
683 



4 
36 



18 



129 
1.096 



(i3 
593 



37 
312 



52 
356 



530 
4,415 



73 
520 



77 
421 



35 
211 



II 
69 



89 
1.057 



21 
138 



2 
60 



255 
1 .493 



1 16 
1,1 1(1 



223 
1,194 



96 
586 



4,780 
23,946 



168 
865 



296 

1,839 



56 
281 



179 
894 



367 
3.871 



109 
330 



23 
103 



2.073 
5.830 



193 
4.089 



61 

704 



906 
6.844 



202 
2.115 



7.768 
81,562 



743 
5.080 



692 
6.214 



97 
815 



283 
1,764 



901 
11.801 



114 
718 



216 
1,076 



2,880 
15,055 



1 .040 
4.121 



385 
723 



3.205 

7.472 



1.298 
3.287 



21,683 

74,844 



2.253 
4.817 



1.670 
6.242 



397 
1.098 



122 
947 



1.795 
10.234 



1 .024 
2.055 



743 
1.397 



6.339 
14,663 



4.311 
16,788 



1.256 
3,404 



12,359 
38.957 



3.441 
11,893 



42,586 
163,270 



10.959 
31,328 



5.0.56 
25.056 



1 .203 
4.175 



237 
3,568 



5.600 
34..392 



3.566 
7,983 



3.684 
6.289 



25,584 
83.120 



197 
996 



178 
383 



915 
1.980 



275 
627 



1 5.350 
44.836 



1,345 
2,531 



846 
2.007 



87 
185 



1,414 
2.711 



842 
3,393 



593 
1,072 



197 
329 



4.167 
9.777 



See footnotes at end of table. 



225 



Table 63. — Arrests by State, Crime Index Offenses, 1988 — Continued 



STATE 



Tolal' 

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 



INDIANA: 133 agencies; 
population 3,736.000: 

Under 18 

Total all ages 



IOWA: 223 agencies; 
population 2,826.000: 

Under 18 

Total all ages 



KANSAS: 113 agencies; 
population 1,492.000: 

Under 18 

Total all ages 



KENTUCKY' 

LOUISIANA: 78 agencies; 
population 3,119.000: 

Under 18 

Total all ages 



MAINE: 132 agencies; 
population 1,180,000: 

Under 18 

Total all ages 



MARYLAND: 98 agencies; 
population 3,421,000; 

Under 18 

Total all ages 



MASSACHUSETTS: 166 

agencies; population 
2,999,000: 

Under 18 

Total all ages 



MICHIGAN: 445 agencies; 
population 8,247,000: 

Under 18 

Total all ages 



MINNESOTA: 286 agencies; 
population 3.673,000: 

Under 18 

Total all ages 



MISSISSIPPI: 62 agencies; 
population 1,031.000: 

Under 18 

Total all ages 



MISSOURI: 158 agencies; 
population 2.899,000; 

Under 18 

Total all ages 



MONTANA: 25 agencies; 
population 465,000; 

Under 18 

Total all ages 

See footnotes at end of table. 



41.208 
168,420 



19,870 
97,473 



14.504 
69,268 



23,133 
159,961 



8,756 
43,323 



31.026 
195,564 



12,804 
99,346 



57,312 
359,897 



32,741 
119,626 



7,572 
61.635 



27,6.50 
198.046 



4,503 
15,598 



13,165 
33,833 



7,184 
21,801 



5,363 
14,450 



9,458 
38,042 



3,898 
9,516 



13,704 
45,190 



4,640 
23,561 



22,764 
77,133 



11,910 
26,198 



3,257 
12,688 



10,716 
40,847 



1,416 
3,789 



1,331 
5,569 



421 
3.670 



341 
1,907 



1.344 
9.956 



129 
1,019 



1,942 
9,514 



795 
6.739 



3,149 
20,238 



454 
2,362 



258 
2.307 



1,626 
9,055 



24 
329 



11,834 
28,264 



6,763 
18,131 



5,022 
12,543 



8,114 
28,086 



3.769 
8,497 



11,762 
35,676 



3,845 
16,822 



19,615 
56,895 



11,456 
23,836 



2,999 
10,381 



9,090 

31,792 



1,392 
3,460 



25 
300 



51 
346 



15 



39 
301 



58 



166 

1,927 



10 
99 



44 
370 



43 
296 



18 
113 



13 
136 



80 

555 



8 
89 



144 
646 



25 
431 



356 
2.219 



37 
238 



104 
651 



4 
45 



162 

822 



65 
354 



57 
269 



345 
1,879 



41 
156 



708 
2,854 



199 
1,011 



837 
4,545 



70 

254 



81 
475 



463 
2,053 



45 



1,101 
4, 1 5 1 



337 
3,167 



265 
1,447 



868 
7,176 



80 

759 



1 ,05 1 

5.713 



569 
5,239 



1,790 
11,547 



328 
1,765 



130 
1,495 



1,015 
5,981 



17 
209 



1,787 

4,277 



1,124 

2,595 



1 222 
2,496 



2,025 
6,830 



869 
1,855 



2,516 
8,532 



1.157 
4.126 



3,792 
12,235 



1,568 
3,397 



888 
2,642 



1,831 
5.768 



156 

377 



8,854 
21,646 



5,134 
14,682 



3.402 
9,266 



5,564 
19,976 



2,554 
5,937 



6,182 
21,395 



1,886 
10,672 



13.860 
40,021 



8,597 
18,320 



1,892 
7,140 



6,096 
23,386 



1,167 
2,928 



1,083 
2,107 



389 

679 



323 
644 



443 
1,021 



265 

575 



2,812 
5,286 



760 
1.849 



1,738 
3,847 



1,178 
1,941 



201 
520 



1,029 
2,290 



59 
129 



226 



Table 63.— Arrests by State, Crime Index Offenses, 1988 — Continued 



STATE 



Total' 

all 
classes 



Crime^ 
Index 
lolal 



Violent' 
crime 



Property^ 
crime 



Murder 
and non- 
ncgligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggravated 
assault 



Burglary 



Larceny- 
theft 



Motor 

vehicle 

theft 



NEBRASKA: 202 agencies; 
jopulattotn 1,400,000: 

Jnder 18 

Total all ages 

SEVADA: 20 ageticies; 
Mpulation 873,000: 

Jnder 18 

Total all ages 

SEW HAMPSHIRE: 86 

igencies: population 917,000: 

Jnder 18 

Total all ages 

■NEW JERSEY: 545 

Igencies; 

)opulalion 7.470.000: 

Jnder 18 

Total all ages 

MEW MEXICO: 51 

Igencies; 

wpulation 1.036.000: 

Jnder 18 

Total all ages 

SEW YORK: 542 agencies; 
jopulalion 15.274,000: 

Jnder 18 

Total all ages 

NORTH CAROLINA; 341 

igencies; population 
5,934.000: 

Under 18 

Total all ages 

NORTH DAKOTA: 66 

agencies; 
population 514,000: 

Under 18 

Total all ages 

OHIO: 252 agencies; 
population 6.302.000: 

Under 18 

Total all ages 

OKLAHOMA: 279 agencies; 
population 3,262.000: 

Under 18 

Total all ages 

OREGON: 203 agencies; 
population 2,722,000; 

Under 18 

Total all ages 

PENNSYLVANIA: 561 

agencies; 

population 4.913,000: 

Under 18 

Total all ages 

RHODE ISLAND: 41 

agencies; 
population 922.000: 

Under 18 

Total all ages 

See footnotes at end of table 



13.025 
62.832 



9,930 
76,733 



6,202 

37,723 



91.507 
375,316 



12,753 
70,373 



134,774 
1,000.755 



33.601 
410,909 



4,831 
16.987 



54.851 

292.773 



23.925 
138.546 



27.013 
126.716 



33,809 
140,554 



7,825 
40,719 



4,849 
12,404 



3,076 
12,378 



1.590 
5.164 



22.805 
73.505 



4.984 
15.146 



42.873 
189.240 



13.488 
65,401 



1.485 
3.044 



17.772 
54,819 



11,296 

28,132 



10,437 
34,531 



9,392 
26,255 



2,182 
7,628 



157 
971 



215 
2,094 



75 
567 



3,907 
19,088 



348 
2,365 



12,368 
64,164 



1,579 
17,444 



13 

117 



1,781 
11,281 



884 
4,749 



524 
3,811 



835 
4,765 



269 
1.711 



4,692 
11,433 



2,861 
10,284 



1,515 
4,597 



18,898 
54,417 



4,636 
12,781 



30,505 
125,076 



11,909 

47,957 



1,472 
2,927 



15,991 
43,538 



10,412 

23,383 



9,9 1 3 
30,720 



8,557 
21,490 



1.913 
5,917 



10 
49 



10 



37 
338 



252 
1,645 



457 



30 
465 



23 
221 



12 
146 



10 
133 



27 
180 



43 
267 



10 
100 



196 

1,287 



10 
116 



350 
2,194 



76 
759 



1 

26 



254 
1,227 



97 
426 



58 
345 



79 
432 



12 
102 



67 
252 



41 
597 



24 
108 



1.377 
4,703 



45 
259 



7,094 

27,687 



314 

2.257 



687 
3,294 



196 
861 



227 
1,363 



186 
783 



40 
260 



53 
490 



124 
1,149 



39 
349 



2,297 
12,760 



281 
1.907 



4.672 
32.638 



1.161 

13.971 



10 
66 



810 
6,295 



568 
3,241 



227 
1,957 



560 

3,417 



216 
1,319 



590 
1,324 



626 
2,208 



304 
829 



4,221 
10,757 



1,971 



5,506 
22,879 



3,505 
I 3,548 



180 
434 



3,073 
8,117 



2,390 
5,508 



1,881 

5,352 



2,143 
5,038 



402 
1,168 



3,857 
9,601 



2,064 

7,572 



1,098 
3,502 



12,451 
39,559 



3,527 
10.148 



19,213 
83,154 



7,541 
31,597 



1,199 
2,335 



10,935 
31,624 



6.885 
15,653 



6,893 
21,915 



5.435 
14,551 



1,223 
4,098 



165 

371 



161 

446 



102 
230 



1,952 
3,422 



561 



5,363 
18,055 



735 
2,239 



77 
138 



1,752 
3,240 



982 
1,926 



964 
3,154 



828 

1.548 



242 
558 



227 



Table 63. — Arrests by State, Crime Inde\ Offenses. 1988 — Continued 



STATE 



Cnme^ 
Index 
total 



Violent' 
crime 



Property' 
crime 



Murder 
and non- 
negligent 

man- 
slaughter 



Forcible 
rape 



Robbery 



Aggravated 
assault 



Burglary 



Larceny- 
theft 



Motor 

vehicle 

theft 



SOUTH CAROLINA: 

agencies; population 
3.371.000: 

Under 18 

Total all ages 



153 



SOUTH DAKOTA: 39 

agencies; 
population 276,000: 

Under 18 

Total all ages 



TENNESSEE: 140 agencies; 
population 2.316.000: 

Under 18 

Total all ages 



TEXAS: 759 agencies; 
population 14.534,000: 

Under 18 

Total all ages 



UTAH: 88 agencies; 
population 1,447.000; 

Under 18 

Total all ages 



VERMONT: 22 agencies; 
population 398.000: 

Under 18 

Total all ages 



VIRGINIA: 393 agencies; 
population 5,865,000: 

Under 18 

Total all ages 



WASHINGTON: 145 

agencies; 

population 3,578,000: 

Under 18 

Total all ages 



WEST VIRGINIA: 296 

agencies; 

population 1,884,000: 

Under 18 

Total all ages 



WISCONSIN: 260 agencies; 
population 4.730.000: 

Under 18 

Total all ages 



WYOMING: 69 agencies; 
population 467,000: 

Under 18 

Total all ages 



1 7,205 
164.173 



2,559 
9,534 



16.112 

120.327 



113,292 
755,732 



29,040 
81,630 



966 
9,625 



41.550 
371.915 



35.364 
188.985 



6.017 
59.158 



87.120 
3 1 8.240 



4,588 
22.133 



7,732 
28,851 



646 
1.343 



5.374 
18.933 



46.171 
172.504 



11.540 
21.611 



429 
1.924 



13,472 
54.603 



15,779 
46.233 



2,323 
9,796 



24,511 
56.608 



1.210 

3.375 



719 
6,364 



II 
116 



534 
4.336 



3.379 
24.925 



638 
1.844 



27 



1.069 
8,512 



783 
5.534 



102 
1.361 



1,162 
6,260 



65 
645 



7,013 
22,487 



635 
1.227 



4,840 
14,597 



42,792 
147,579 



10,902 
19,767 



402 
1,644 



12.403 
46.091 



14.996 
40.699 



2 22 1 
8,435 



23.349 
50.348 



1.145 
2,730 



18 
330 



17 
164 



177 
1,422 



35 
463 



12 

157 



5 
94 



14 
171 



79 
667 



108 

472 



231 
1,926 



30 
121 



3 
40 



88 
831 



95 
729 



18 
169 



128 
591 



40 



158 
1,002 



136 
813 



1,051 
6,261 



77 
363 



446 
2,208 



196 
1,004 



38 
252 



403 
1,308 



44 



464 
4,365 



273 
:,887 



1,920 
15,316 



529 
1,333 



21 
216 



500 
5,010 



480 
3,644 



41 
846 



617 
4,190 



58 
550 



2,034 
5,716 



131 

271 



908 
2,889 



10,958 
30,742 



1,326 
2.196 



95 
383 



2,370 
8,179 



2,869 
6,681 



533 
1.732 



3.339 
6.293 



183 

513 



4.433 
15.533 



479 
893 



3.286 
10.258 



27,453 
103,978 



8,770 
16.371 



279 
1.186 



8,239 
33.719 



10.977 
31.760 



1.413 
6.014 



17.563 
40.066 



890 
1,073 



511 
1.042 



12 
45 



614 
1.297 



4,109 
12,011 



689 

1,052 



25 
56 



1,613 
3,741 



1,023 
1,979 



237 
561 



2,146 
3,502 



65 
127 



'Does not melude trattlc arrests. 

^Includes arson, 

'Violent crime includes offenses of murder, forcible rape, robbery, and aggravated assault. 

^Properly crime includes offenses of burglary, larceny-theft, motor vehicle theft, and arson. 

'Arrest data for 1988 were not available for the States of Florida and Kentucky. See page 167 for details. 

NOTE; Direct comparisons of arrest totals listed in this table should not be made with prior years' issues. 



228 



rable 64. — Police Disposition of Juvenile Offenders Talien into Custody, 1988 

1988 estimated population] 



Population group 


Total' 


Handled 

within 

department 

and released 


Referred to 

ju\enile 

court 

jurisdiction 


Referred to 
welfare 
agency 


Referred to 

other police 

agency 


Referred lo 
criminal or 
adult court 


rOT.\L ALL AGENCIES: 7,921 agencies; population 148,418,000: 


990.544 
100.0 


288.708 
29.1 


625.150 
63.1 


18.957 
1.9 


11.052 
1.1 


46.677 




4.7 


rOT.^L CITIES: 5.395 cities; population 97.150.000: 




835,235 
100.0 


248.943 
29.8 


524,743 
62.8 


15.122 
1.8 


8,927 
l.I 


37.500 




4.5 


Group 1 
15 cities. 250.000 and over; population 21,142,000: 




179,203 
100.0 

108,101 
100,0 

119,443 
100.0 

144,783 
100.0 

162,613 
100.0 

121.092 
100.0 

103,716 
100.0 

51,593 
100.0 

424,707 
100.0 


40.821 
22.8 

32.829 
30.4 

41.232 
34.5 

47,980 
33.1 

51,686 
31.8 

34.395 
28.4 

27,820 
26.8 

11,945 
23.2 

148,629 
35.0 


133,786 
74.7 

66,706 

61.7 

68.471 
57.3 

86,604 
59.8 

98.875 
60.8 

70,301 
58.1 

67,278 
64.9 

33,129 
64.2 

239,408 
56.4 


2.156 
1.2 

4,285 
4.0 

2,019 

1.7 

1,805 

1.2 

2,617 
1.6 

2,240 
1.8 

1,877 
1.8 

1,958 
3.8 

6.930 
1.6 


1.215 
.7 

558 
.5 

2,002 

1.7 

1.912 
1.3 

1,407 
.9 

1.833 
1.5 

1,129 
1.1 

996 
1.9 

5.448 
1.3 


1,225 




.7 


Group II 
'2 cities. 100.000 to 249.999; population 13,122,000: 


3,723 




3.4 


Group III 
,28 cities. 50.000 to 99,999; population 15.603.000: 


5,719 




4.8 


«82 cities. 25.000 to 49,999; population 16,551,000: 


6,482 




4.5 


Group V 
,065 cities, 10.000 to 24.999; population 17.012.000: 


8.028 




4.9 


Group VI 


12,323 


Percent 


10.2 


Suburban Counties 
m agencies; population 31,179,000: 


5,612 




5.4 


Rural Counties 
1,733 agencies; population 20.089,000: 


3.565 


Percent 


6.9 


Suburban Area' 
i,773 agencies; population 72.452,000: 


24.292 




5.7 







' 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 withm metropolitan areas. Excludes central cities. Suburban cities and counties are included in other groups, 



229 




Ab a ICam lEnfnrrf ment ©ffirer, my funJameniJ Jut^ .. /» 

itrv* manhina; io safequara tivei ana properlu; to orotecl the innocent a^ainll 
deception, the weab aqainil oppression or intimidation, and Ike peaceful 
aaainit violence or aiioraer; ana to reipect Ike L^onititutional riakti of all 
men to liberty, etfuaiit^ ana justice. 

It Ultll beep mu private life uniuitiea as an example to all; maintain coura- 
aeous calm in tke face of danger. Scorn, or ridicule; develop self-restraint; and 
be constantlu mindful of tke welfare of otkerS. ..J^onest in tkou^kl and deed 
in ootk mu personal and official life, ^ will be exemplary in ooe^in^ tke laws 
of tke land and tke regulations of mu department. lA/katever jf see or kear of 
a confidential nature or tkat is confided to me in mu official capacitij will oe 
kept ever secret unless revelation is necessaru in Ike performance of mi^ duti^. 

l[ tUtil never act officiouslu or permit personal feelings, prejudices, animos- 
ities or friendskips to influence mu decisions. UUitk no compromise for crime 
and with relentless prosecution of criminals, Jf will enforce tke law courteously 
and appropriatelu witkoul fear or favor, malice or ill will, never empto^in^ 
zru force or violence and never accepting gratuities. 



unnecessary force or viol 



Jl rrrOQtttZP tke badge of-mu office as a symbol of public faitk, and 
.y accept it as a puolic trust to be keld so lon^ as .y am true to Ike etkics of 
Ike police service. ^ will constantlu strive to ackieve tkese objectives and ideals, 
dedicating muself oefore \-4od to mu ckosen profession . . . law enforcement. 



230 



SECTION V 
LAW ENFORCEMENT PERSONNEL 



The Nation's law enforcement community employed an 
;rageof2.1 full-time otTicers for every 1,000 inhabitants 
of October 31, 1988. Consicdering full-time civilians, the 
erall law enforcement employee rate was 2.8 per 1.000 
labitants accor(jing to 12,269 city, county, and state 
lice agencies reporting in 1988. These agencies collec- 
ely offered law enforcement service to a population of 
arly 231 million, employing 485,566 officers and 
6,877 civilians. 

Varying demographic and other jurisdictional character- 
ics greatly affect the requirements for law enforcement 
vice from one locale to another. The needs of a 
mmunity having a highly mobile or seasonal population, 
■ example, may be very different from those of a city 
lose population is relatively stable. Similarly, a small 
mmunity situated between two large cities may require a 
;ater number of law enforcement personnel than a 
mmunity of the same size which has no urban centers 
arby. 

The functions of law enforcement are also significantly 
verse throughout the Nation. In certain areas, sheriffs' 
>ponsibilities are limited almost exclusively to civil 
nctions and/or the administration of the county jail 
;ilities. 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 1988 was 2.7 per 1.000 inhabitants. By 
population grouping, city law enforcement employee aver- 
ages ranged from 2.1 per 1.000 inhabitants in those with 
populations from 10.000 to 49.999 to 3.4 for those with 
populations of 250,000 or more. Rural and suburban 
counties averaged full-time law enforcement employee 
rates of 3.4 and 3.0 per 1,000 population, respectively. 

Regionally, the highest law enforcement employee rate 
was in the Northeast with 2.9. In the South, the rate was 
2.8, while the Midwest and the West both registered law 
enforcement employee rates of 2.4. 



ll-lime Law Enforcement Employees', Rate per 1.000 inhabitants. Region and Population Croup, October 31, 1988 

'88 estimated population] 



Population group 


Region 


Total 

(9,350 cities: 

population 

1 55,640,000) 


Group 1 (63 

cities, 250,000 

and over: 

population 

45,309,000) 


Group 11 (121 

cities, 100,000 

to 249,999: 

population 

17,754,000) 


Group 111 (308 

cities, 50,000 

to 99,999: 

population 

20,914,(1001 


Group IV (659 

cities, 25,000 

to 49,999: 

population 

22,517,000) 


Group V (1,629 

cilics, 10.000 

to 24,999: 

population 

25,510,000) 


Group VI 

(6,570 cities 

under 10,000: 

population 

23,635,000) 


)TAL: 

),350 cities: 

population 155.640,000: 

■erage number of employees 

per 1,000 inhabitants 


T 7 


3-4 


2.4 




2.1 


2,1 


2.8 


irtheastern States; 

2,3X7 cities: 
population 39,788,000: 
erage number of employees 


2.9 
2.4 
2,8 

2.4 


4.6 
3,7 
3.0 
2.6 


3.2 
2,1 
2,5 
2.0 


2,3 
1,9 
2.6 
1.9 


2.3 
1.8 
2.4 

2.0 


2.1 
2.0 

2,5 

2 1 


2,1 


idwestern States: 

2,547 cities, 

population 38,812,000: 

.erage number of employees 

per 1 000 inhabitants 


2,5 


luthern States: 

3,19') cities: 

population 43,891,000: 

verage number of employees 

per 1000 inhabitants 


3,5 


estern States: 

1,217 cities. 

population 33,147,000: 

verage number of employees 

per 1 ,000 inhabitants 


3.7 



I 



'Includes civilians. Population figures were rounded to the nearest thousand. All rales were calculated before rounding. 



231 



Sworn Personnel 

Rates based solely on sworn law enforcement personnel 
(exclutjing civilians) showed the national average for all 
cities was 2.1 officers per 1,000 inhabitants. By population 
grouping, the lowest average rate (1.7) was for cities with 
populations of 10,000 to 99,999; cities 250,000 or more in 
population recorded the highest rate, 2.7. Suburban county 
law enforcement agencies averaged 2.0 officers per 1,000 
population, while agencies in rural counties averaged 2.3. 



Geographically, the highest rate of officers to population 
was recorded in the Northeastern States where there were 
2.4 officers per 1,000 inhabitants. Following were the 
Southern States with 2.2, the Midwestern States with 2.0, 
and the Western States with 1.7. 

Nationally, males comprised 92 percent of all sworn 
employees. Ninety-four percent of the officers in rural 
counties and 93 percent of those in cities were males, while 
in suburban counties they accounted for 89 percent. 



Full-time Law Enforcement Offlcers, Rate per 1,000 Inhabitants, Region and Population Group, October 31, 1988 

[1988 estimated population) 

Population group 



Region 


Total 

(9,350 cities; 

population 

155,640,000) 


Group I (63 

cities, 250,000 

and over; 

population 

45,309,000) 


Group II (121 

cities. 100.000 

to 249.999; 

population 

17.754,000) 


Group III (308 

cities, 50,000 

to 99,999; 

population 

20.914,000) 


Group IV (659 

cities. 25,000 

to 49,999; 

population 

22,517,000) 


Group V (1,629 

cities, 10,000 

to 24,999; 

population 

25,510,000) 


Group VI 

(6,570 cities 

under 10,000; 

population 

23,635,000 


TOTAL: 

9,350 cities; 

population 155.640,000: 
Average number of officers 
per 1 ,000 inhabitants 


2.1 


2.7 


1,8 


1.7 


1.7 


1,7 


2 


Northeastern States: 

2,387 cities; 
population 39,788,000 
Average number of officers 
per 1 000 mhabitants 


2.4 
2.0 
2.2 

1.7 


3.6 
3.1 
2.4 
2.0 


2.7 
1.7 
2.0 
1.4 


2.0 
1.6 
2.0 
1.3 


2.0 

1.4 
1.9 
1.5 


1.8 
1.6 
2.0 
1.6 


1 


Midwestern States: 

2,547 cities 

population 38,812,000: 
Average number of officers 




Southern States: 

3,199 cities; 
population 43,891,000: 
Average number of officers 
per 1 000 inhabitants 


2. 


Western States: 

1,217 cities; 
population 33,147.000: 
Average number of officers 
per I 000 mhabitants 


2. 







Population figures were rounded to the nearest thousand. All rates were calculated before rounding. 



Civilian Employees 

Civilians made up 26 percent of the total United States 
law enforcement employee force in 1988. They represented 
21 percent of the police employees in cities, 32 percent of 
those in rural counties, and 34 percent of the suburban law 
enforcement strength. 



Law Enforcement Offlcers Killed and Assaulted 

Seventy-eight law enforcement officers were feloniously 
slain in the line of duty during 1988, 4 more lives lost than 
in 1987. Another 77 officers were killed due to accidents 
occurring while performing their official duties in 1988. 

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. 



232 



ible 65, — Full-time Law Enforcemenl Employees', Number and Rale per 1,000 
clober 31, 1988 

988 estimated population] 


nhabitants. Geographic Division and Population Group 


1 


Geographic division 


lolal 

(9..350 cities; 

population 

155.640,000) 


Population group 


Group 1 
(63 cities, 

250,000 
and over; 
population 
45.309,000) 


Group 11 
(121 cities, 
100,000 to 

249,999; 
population 
17.754,000) 


Group 111 
(.308 cities. 

50,000 to 

99,999; 
population 
20,914,000) 


Group IV 
(659 cities, 
25,000 lo 

49.999; 

population 
22,517.000) 


Group V 

(1,629 cities, 

10,000 to 

24,999; 

population 

25,510,000) 


Group VI 

(6,570 cities 

under 

10,000; 

population 

23.635,000) 


3TAI.: 9.350 cities; population 155,640,000: 


413,.398 

2,7 


155,602 
3,4 


41,815 

2,4 


45.651 

2,2 


48,255 
2.1 


54,817 
2,1 


67,258 


Average number of employees per 1,000 inhabitants 

ew England: 637 cities: population 10.839.000: 


2.8 


26,816 

2.5 

88,290 
3.0 

73,014 
2.5 

22,023 
2,2 

60,287 
3,3 

20,822 

2.7 

43,460 

2.4 

22,099 

2,5 

56,587 

2.3 


2,618 

4.5 

46,532 
4.6 

27,485 
3.9 

6,592 
3.0 

16,329 
3.9 

4,782 
2.7 

1 7.800 
2,6 

8,876 
2.7 

24,588 
2,6 


3,344 
3.2 

3,699 
3.1 

5,484 

2.2 

1,375 
1.8 

9,193 

2.8 

3.300 

2.5 

4.228 
2.1 

2,857 
2.3 

8,335 
19 


5,906 
2.4 

7,105 
2.3 

8,165 
2.0 

1,899 
1.6 

6.541 
3.2 

755 
2.5 

4.952 

2,220 
1.8 

8,108 

1.9 


5,203 
2.2 

9.163 
2.4 

9,152 

1.9 

3,014 
1.7 

7.187 
2.8 

2,752 
2.4 

3,196 
1,9 

1,940 
2.1 

6,648 
20 


6,002 

2,2 

11.298 
2,0 

11,362 
2,0 

4,085 
2,0 

7,685 
2.9 

3,414 
2.3 

5,299 
2.1 

2,138 

2 2 

3,534 
2,1 


3,743 


Average number of emplo>ees per 1 ,000 inhabitants 

iddle Atlantic: 1.750 cities: population 28.949,000: 


2.3 
10 493 


Average number of employees per 1,000 inhabitants 

1st North Central: 1.777 cities; population 28.741,000: 

Number of emplovees 


2.0 
1 1 366 


Average number of emplovees per 1,000 inhabitants 

est North Central: 770 cities; population 10,071,000: 


2.6 
5,058 


Average number of employees per 1,000 inhabitants 

luth Atlantic: 1.514 cities; population 18,117,000: 


2.4 
1 3,352 


Average number of employees per 1,000 inhabitants 

•1st South Central: 721 cities: population 7,836,000: 


4.0 
5 819 


Average number of employees per 1,000 inhabitants 

est South Central: 964 cities; population 17,938,000: 


3.2 
7 985 


.Average number of emplovees per 1,000 inhabitants 

lountain: 511 cities; population 8,866,000: 

Number of emplovees . , , . . .... 


3.2 

4 068 


Average number of employees per 1,000 inhabitants 

acific: 706 cities; population 24,281,000: 


3.4 
5,374 


Average number of employees per 1,000 inhabitants . 


4.0 



Suburban and County 



uburban': 5,525 agencies; population 91,545.000: 

Number of employees 

Average number of emplyees per 1 .000 inhabitants 



245.745 

2.7 



County: 2.919 agencies, population 75.265,000: 

Number of employees 

Average number of employees per 1.000 inhabitants 



239.045 
3,2 



'Includes civilians. 

^Includes suburban city and county law enforcement agencies within metropohtan areas. Excludes central cilies. Suburban cities and counties are also included in other groups, 
opulation figures were rounded to the nearest thousand. All rates were calculated before rounding. 



233 



Table 66. — Full-time Law Enforcement Officers, Number and Rate per 1,000 Inhabitants, Geographic Division and Population Group, 
October 31, 1988 

[1988 estimated population] 





Total 

(9,350 cities; 

population 

155.640,000) 


Population group 


Geographic division 


Group I 
(63 cities, 

250.000 
and over; 
population 
45,309,000) 


Group II 
(121 cities. 
100,000 to 

249,999; 
population 
17,754,000) 


Group III 
(308 cities. 

50,000 to 

99,999; 

population 

20,914,0001 


Group IV 
(659 cities. 

25.000 to 

49.999; 

population 

22.517,000) 


Group V 

(1.629 cities. 

10.000 to 

24.999; 

population 

25,510,000) 


Group VI 

(6.570 cilies 

under 

10.000; 

population 

23.635.000) 


TOTAL: 9,350 cities; population 155,540,000: 


325,095 
2.1 


121,722 
2.7 


32,336 
1.8 


35.705 
1.7 


38,322 
1.7 


44.311 

1,7 


52.69' 




1 






New England: 637 cities; population 10,8.39,000: 


22.507 
2.1 

71,733 
2,5 

59,969 
2,1 

17,246 
1,7 

47,202 
2.6 

16,122 
2.1 

33.625 
1.9 

16.066 
1.8 

40.625 
1.7 


1,927 
3,3 

36,001 
3.6 

23,446 
3,3 

4,904 

2.3 

1 3,034 
3.1 

3,654 
2.1 

14,054 
2.0 

6.445 
2,0 

18.257 
2,0 


2,818 

2,7 

3,171 
2,7 

4.506 
1.8 

1.039 
1,4 

7.059 
2,1 

2.458 
1,8 

3,493 
1.8 

2.039 
1.7 

5.753 
1.3 


5,124 
2,1 

6,029 
1.9 

6,497 
1,6 

1,570 
1.3 

4.894 
2.4 

584 
1,9 

3,784 
1.7 

1,621 
1.3 

5,602 
1.3 


4,5 1 1 
1,9 

7.722 
2.0 

7,329 
1,5 

2,336 
1.3 

5,610 
2.2 

2,178 
1,9 

2.444 
1,5 

1,41 1 
1,5 

4,781 
1.5 


5,114 

1.8 

9.713 

1.7 

9,135 
1.6 

3,241 
1.6 

6.027 
2.3 

2,742 
1,9 

4,188 
1,6 

1.557 
1,6 

2,594 

1,5 


3,01 


.Average number of officers per 1 ,000 inhabitants 

Middle Atlantic: 1,750 cities; population 28,949,000: 


1, 
9,09 


Average number of officers per 1.000 inhabitants 

East North Central: 1,777 cities; population 28,741,000: 

Number of officers 


1. 
9,05 


Average number of officers per 1,000 inhabitants 

West North Central: 770 cities; population 10.071.000: 


4.15 


Average number of officers per 1,000 inhabitants 

South Atlantic: 1,514 cities; population 18,117.000: 


1 
10.57 


Average number of officers per 1.000 inhabitants 

East South Central: 721 cities; population 7,836.000: 


3. 
4.50 


Average number of officers per 1. 000 inhabitants 

West South Central: 964 cities; population 17,938,000: 


2 
5,66 


Average number of officers per 1 .000 inhabitants 

Mountain: 511 cities; population 8,866,000: 


2 
2,99 


Average number of officers per l.tiOO inhabitants 

Pacific: 706 cities; population 24.281,000: 


2 
3.63 


Average number of officers per 1.000 inhabitants 


2 



Suburban and County 



Suburban': 5,525 agencies; population 91,545.000: 

Number of officers 

Average number of officers per 1,000 mhabitants 



177.738 
1.9 



County: 2,919 agencies; population 75,265.000: 

Number of officers 

Average number of officers per 1. 000 inhabitants 



160.47 



'Includes suburban city and county law enforcement agencies within metropolitan areas. Excludes core cities. Suburban cities and counties are also included in other groups. 
Population figures were rounded to the nearest thousand. All rates were calculated before rounding. 



234 



iblc 67. — Full-time Law Enforcement Employees 


October 31, 1988 










ange in rate per 


1.000 inhabitants] 
















Rale range 




Total' 

(8.956 cities; 

population 

155.640.000) 


Group 1 (63 

cities. 250.000 

and over; 

population 

45,309,000) 


Group II (121 

cities. 100.000 

to 249.999; 

population 

17.754.000) 


Group III (308 

cities. 50.000 

to 99.999; 

population 

20,914,000) 


Group IV (659 

cities, 25.000 

to 49.999; 

population 

22.517.000) 


Group V (1,629 

cities. 10.000 

to 24.999; 

population 

25,510.000) 


Group VI 

(6.176 cities 

under 10.000; 

population 

23.635.000) 


.1-5 
.6-1.0 


Number 
Percent 

Number 
Percent 


181 
2.0 

654 
7.3 


. 




1 
.3 

4 
1.3 


1 
.2 

16 

2.4 


13 
.8 

75 
4.6 


166 






2 7 






559 






9.1 


1.1-1.5 


Number 
Percent 


1,258 
14.0 




6 
5.0 


41 
13.3 


99 
15.0 


205 
12.6 


907 




14.7 


1.6-2.0 


Number 
Percent 


1,957 
21.9 


11 

17.5 


46 
38.0 


102 
33. 1 


221 
33.5 


470 
28.9 


1.107 
17.9 


2.1-2.5 


Number 
Percent 


1.817 
20.3 


16 

25.4 


36 
29.8 


89 
28.9 


188 
28.5 


468 
28.7 


1,020 
16.5 


2.6-.3.0 


Number 
Percent 


1.167 
13.0 


14 

22.2 


17 
14 


40 
13.0 


78 
11.8 


234 
14.4 


784 
12.7 


3.1-3.5 


Number 
Percent 


696 

7.8 


8 
12.7 


8 
6.6 


19 
6.2 


31 

4.7 


102 
6.3 


528 
8.5 


3.6-4.0 


Number 
Percent 


407 
4.5 


7 
1 1.1 


4 

3.3 


4 
1,3 


18 

2.7 


38 
2.3 


336 
5.4 


4.1-4.5 


Number 
Percent 


226 

2.5 


7 

3.2 


4 
3.3 


6 

1,9 


2 
.3 


13 
.8 


199 

3.2 


4.6-5.0 

5.1 and over 

Total 
Percent^ 


Number 
Percent 

Number 
Percent 


133 
1.5 

460 

5.1 

8.956 
100,0 


4 
6.3 

1 
1.6 

63 
100.0 




2 
.6 


.2 

4 
.6 

659 
100.0 


6 
.4 

5 
.3 

1,629 
100.0 


PO 




1 9 




450 






7 3 


121 
100.0 


308 
100.0 


6.176 
100.0 



ble 



The number of agencies used to compile these figures difTers from the other Law Enforcement Employee tables because small agencies with no resident population are excluded from this 
^Because of rounding, perccniages may not add to totals. 



235 



Table 68. — Law Enforcement Officers, October 31, 

[Range in rate per 1,000 inhabitants] 



1988 



Rate range 




Total' 

(8,956 cities; 

population 

155,640,000) 


Group I (63 

cities, 250.000 

and over; 

population 

45.309.000) 


Group 11 (121 

cities. 100.000 

to 249,999; 

population 

17,754,000) 


Group 111 (308 

cities, 50,000 

to 99,999; 

population 

20,914,000) 


Group IV (659 

cities, 25,000 

to 49.999; 

population 

22.517.000) 


Group V (1,629 

cities. 10.000 

to 24,999; 

population 

25,510,000) 


Group VI 

(6.176 cities 

under 10,000; 

population 

23,635,000) 


1-.5 


Number 
Percent 

Number 
Percent 

Number 
Percent 

Number 
Percent 

Number 
Percent 

Number 
Percent 

Number 
Percent 

Number 
Percent 

Number 
Percent 

Number 
Percent 

Number 
Percent 


204 






2 
.6 

20 

6.5 

116 

37.7 

95 
30.8 

51 
16.6 

17 

5.5 

6 
1.9 

.3 


2 
.3 

59 
9.0 

234 

35.5 

223 
33,8 

98 
14,9 

28 
4.2 

9 

1.4 

3 
.5 

2 
.3 


19 
1,2 

129 

7,9 

501 
30,8 

568 
34,9 

279 
17,1 

96 
5.9 

26 
1.6 

8 
.5 

2 
.1 


18 










6-1 


898 
10,0 

2278 
25,4 

2461 

27.5 

1412 
15.8 

689 

7,7 

380 
4.2 

185 
2,1 

115 

1,3 

67 

,7 

265 
3,0 

8954 
100,0 




1 
.8 

47 
38,8 

42 
34,7 

15 

12,4 

13 
10,7 

T 

1,7 

\ 


68 






1 J 


1.1-1.5 
1,6-2.0 
2.1-2,5 
2.6-3.0 
3.1-3.5 
3 6-4 


10 

15.9 

19 
30.2 

18 
28.6 

3 
4.8 

7 
11.1 

4 
6.3 

1 
1.6 


137 

T) 

151 

24, 

95 
15, 

53 
8. 

33 
5. 

16 






t 


4.1-4,5 


.8 


10 






1 


4 6-5 




6 












1.1 

1 

.1 

1629 
100.0 




5 1 and over 


1 
1.6 

63 
100.0 






1 
.2 

659 
100.0 


26 








4 


TotaP 
Percent 


121 

100,0 


308 
100.0 


6,17 
100, 



'The number of agencies used to compile these figures differs from the other Law Enforcement Officer tables because small agencies wtih no resident population are excluded from this tabl< 
^Because of rounding, percentages may not add to totals. 



236 



able 69. — Law Enforcement Employees, 


Percent Male and Female, October 31, 1988 












988 eslimated population] 


















Population group 


Total police employees 


Police officers (sworn) 


Civilian employees 


Total 


Percent 
male 


Percent 
female 


Total 


Percent 

male 


Percent 
female 


Total 


Percent 
male 


Percent 
female 


OTAL AGE.NCIES: 12,269 agencies: 

population 230 90^000- 


652,443 
413,398 


77,6 
79,0 


22.4 
21.0 


485,566 
325.095 


92,1 
92,5 


7.9 

7,5 


166,877 
88,303 


34.3 
29.3 


64,7 


OTAL CITIES: 9,350 cities; 

DODulation I5S640 000: 


70 7 


GROUP I 






















3 cities. 250,000 and over; 

^pulation 45 309 000" 


155,602 
81,921 
39,212 
34,469 


76.3 
75.8 
77.8 
7S,9 


23.7 
24.2 
22.2 
24,1 


121,722 
64,463 
30,778 
26,481 


88.9 
88.0 
90.2 
89.8 


11.1 
12.0 
9.8 
10.2 


33,880 
17.458 
8,434 
7,988 


31.1 
.30.9 
32.8 
29 8 


68.9 


cities. 1.000.000 and over; 
Dpulation 20 303 000" 


69 1 


) cities. 500.000 to 999.999; 

Dpulalion 12 293 000" 


67 2 


5 cities, 250.000 to 499,999; 

opulalion 12 712 000' .. 


70 2 


GROUP II 




















21 cities. 100.000 to 249.999; 

opulation 17 754 000' 


41,815 


77.2 


22.8 


32,336 


92.1 


7 9 


9 479 


26 4 


73 6 


GROUP III 




















08 cities. 50.000 to 99.999; 

opulalion 20.914,000: 


45,651 


79.8 


20.2 


35,705 


94,5 


5.5 


9,946 


26.9 


73.1 


GROUP IV 




















59 cities. 25,000 to 49,999; 

opulation 22,51 7,000: 


48,255 


80.9 


19.1 


38,322 


95.3 


4.7 


9,933 


25.3 


74,7 


GROUP V 




















,629 cities. 10,000 to 24,999; 

opulation 25,510,000: 


54,817 


82.4 


17.6 


44,311 


95,6 


4.4 


10.506 


26.6 


73.4 


GROUP VI 




















i.,570 cities under 10,000; 
opulation 23.635,000: 


67,258 


81.6 


18.4 


52,699 


95.0 


5.0 


14,559 


33.4 


66,6 


SUBURBAN COUNTIES 






















134,857 


73.8 


26.2 


89.541 


89.5 


10.5 


45.316 


42.9 


57.1 


RURAL COUNTIES 




















:,254 agencies; population 30,791.000: 


104,188 


76.8 


23.2 


70,930 


93.7 


6.3 


33.258 


40.8 


59.2 


SUBURBAN AREA' 




















i,525 agencies: population 91,545,000: 


245.745 


77.5 


22.5 


177,738 


92.3 


7.7 


68.007 


38.6 


61.4 



'Includes suburban citv and county ]a\v enforcement agencies within metropolilan areas. Excludes central cities. Suburban cities and counties are also included in other groups 
fable 70. — Civilian Law Enforcement Employees, Percent of Total, Population Group, October 31, 1988 

1988 estimated population] 



Population group 



Percent 

civilian 

employees 



Population group 



Percent 

civilian 

employees 



TOTAL AGENCIES: 12,269 agencies; 
population 230,905,000: 



GROUP IV 



TOTAL CITIES: 9,350 cities; 
population 155,640,000: ,, 



25.6 



21.4 



659 cities, 25,000 to 49,999; 
population 22.517.000: ,, 



GROUP V 



GROUP 1 



63 cities, 250,000 and over; 

population 45,309,000: 

8 cities. 1.000.000 and over: 

population 20.303,000: 

19 cities, 500,000 to 999,999; 

population 12,293,000: 

36 cities, 250,000 to 499,999; 
population 12,712,000: 



GROUP II 

121 cities, 100,000 to 249,999; 
population P. 754,000: 

GROUP 111 

308 cities, 50,000 to 99,999; 

population 20,914,000: 



21.8 
21.3 
21.5 
23.2 

22.7 

21.8 



1,629 cities, 10,000 to 24,999; 
population 25,510,000: 



GROUP VI 



6,570 cities under 10,000; 
population 23,635,000; 



SUBURBAN COUNTIES 



665 agencies: 

population 44.474.000: 



RURAL COUNTIES 



2,254 agencies: 

population 30,791,000: 



20.6 



19.2 



21,6 



33.6 



31.9 



SUBURBAN AREA' 



5,525 agencies; 

population 91,545,000: 



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



237 



Table 71. — Full-time State Law Enforcement Employees, October 31, 1988 



State 



Number of law enforcement employees 



Total 



Officers 



Male 



Female 



Civilians 



Male 



Female 



Stale 



Number of law enforcement employees 



Total 



OITicers 



Male 



Female 



Civilians 



Male 



Female 



Total 



Alabama Department of 

Public Safety 

Alaska State Police — 



Arizona Department of 
Public Safety 

Arkansas State Police . 

California Higtiway 
Patrol 



Colorado State Patrol 
Connecticut State Police 
Delaware Slate Police .. 
Florida Highway Patrol 
Georgia Department of 
Public Safety 



Idaho State Police 

Illinois State Police . .. 
Indiana Stale Police 
Iowa Department of 

Public Safety 

Kansas Highway Patrol 



Kentucky Stale Police 
Louisiana State Police 
Maine Slate Police ... 
Maryland State Police 
Massachusetts State 
Police 



Michigan State Police . . . 
Minnesota Highway 

Patrol 

Mississippi Highway 

Safely Patrol 

Missouri State Highway 

Patrol 

Montana Highway Patrol 



76,537 



1.261 

588 



1.96.1 
640 

8,127 

745 
1.620 

674 
2.016 

1,850 



49..t84 



,175 



706 
318 



977 
458 

5,417 

503 
1,043 

482 
1,387 

809 



224 


176 


3,642 


2,114 


1,746 


1 ,030 


831 


523 


767 


512 


1,538 


882 


919 


642 


598 


358 


2,334 


1,584 


1,495 


1 ,063 


3, 1 84 


2,064 


711 


492 


871 


525 


1,788 


839 


240 


181 



35 
14 

445 

16 
52 
29 
111 

20 



138 

41 



13 
7 

13 
105 

83 

151 

18 

8 

10 
9 



10,547 



198 

109 



662 
63 

893 

77 
234 

72 
180 

339 

6 
573 
363 

104 
109 

321 

98 

120 

240 

220 

454 

138 

87 

581 



14,431 



346 
144 



289 
105 

1.372 

149 

291 

91 

338 

682 



40 
817 
312 

182 
112 

322 
172 
107 
405 

129 

515 

63 

251 

358 



Nebraska Stale Palrol . . 
Nevada Highway Patrol 
New Hampshire State 

Police 

New Jersey Division of 

Law and Public Safely 
New Mexico State 

Police 



New ^'ork State Police . 
North Carolina Highway 

Patrol 

Norih Dakota Highway 

Palrol 

Ohio Stale Highway 

Palrol 

Oklahoma Department 

Public Safely 



Oregon State Police 

Pennsyhania State 

Police 

Rhode Island Stale 

Police 

South Carolina Highway 

Department 

South Dakota Highway 

Patrol 



Tennessee Department of 
Safely 

Texas Department of 
Public Safely 

Utah Highway Patrol 

Vermont Slate Police . . . 
Virginia Stale Police 



Washington Slate Patrol 
West Virginia Slate 

Police 

Wisconsin Stale Palrol . . 
Wyoming Highway 

Patrol 



614 
355 

332 
4,164 

513 
4,818 
1,543 

189 
2.108 
1,216 
1,005 
5,289 

212 
1,132 

233 

1.341 

5,001 
415 

421 
2,096 

1,534 

800 

632 

202 



439 
239 

233 

2,875 
358 

3,731 

1,218 
114 

1,177 
653 
824 

3,934 
170 
874 
147 

718 

2.602 
312 

275 
1,521 

825 

484 
419 

157 



14 

7 

15 
70 

6 
210 

9 

I 
41 

5 
23 
120 

4 
18 



52 
10 

1 1 

44 

27 

8 

52 

1 



91 

25 

34 
361 

46 
287 
189 

43 
433 
280 

20 
591 

27 
102 

62 

207 

671 
53 

56 
161 

346 

97 
94 



5( 
85f 

lo: 

59( 

12: 

31 

45: 

27i 
13! 
64' 
1 
131 

2: 
39: 

1,67( 
41 

7' 
37t 

33( 

211 
6: 



NOTE: The responsibilities of the various stale police, highway patrol, and departments of public safety agencies range from full law enforcement duties to traffic patrol only, .Any compansor 
of these data from slate lo state must take these factors and those on page v into consideration. 



238 



able 72.— Number of Full-time Law Enforcement Employees, Cities, October 31, 1988 



City 



ALABAMA 



Total 

police 

employees 



Total 
officers 



II 

12 

20 

31 

37 

9 

35 

110 

20 

II 

9 

7 

35 

25 

20 

61 

16 

15 

81 

844 

7 

23 

22 

11 

10 

3 

5 

12 

4 

3 

3 

15 

13 

23 

3 



6 

9 

36 

8 

21 

20 

98 

23 

8 

112 

6 

7 

15 

43 

32 

12 

16 

30 

19 

3 

9 

3 

11 

7 

87 

19 

33 

15 

106 

1 

21 

14 

7 

10 

3 

6 

9 

28 



Total 
civilians 



7 

9 

16 

26 

33 

5 

29 

81 

15 

5 

4 

4 

29 

18 

16 

50 

16 

11 

69 

644 

4 

18 

18 

7 

6 

3 

2 

g 

4 

3 

3 

II 

8 

19 



6 

5 

26 

8 

14 

15 

86 

17 

4 

88 

4 

4 

10 

32 

26 

8 

12 

24 

13 

3 

9 

3 

7 

4 

67 

14 

26 

II 

95 

1 

16 

8 

6 

6 

3 

6 

7 

22 



City 



ALABAMA— Continued 



4 

12 

200 

3 

5 
4 
4 
4 



7 

5 
12 

6 

4 
24 

2 

3 
5 
II 
6 
4 
4 
6 
6 



Guin 

Gulf Shores 

Guntersville 

Gurley 

Haley ville 

Hamilton 

Hanceville 

Hartford 

Hartselle 

Headland 

Heflin 

Helena 

Hokes Bluff 

Hollywood 

Homewood 

Hoover 

Hueytown 

Huntsville 

Hurtsboro 

Irondale 

Jackson 

Jacksonville 

Jasper 

Jemison 

Killen 

Kimberly 

Lafayette 

Lanett 

Leeds 

Level Plains 

Lincoln 

Linden 

Lineville 

Lipscomb 

Littlcville 

Livingston 

Luveme 

Madison 

Maplesville 

Marion 

Midfield 

Millbrook 

Mobile 

Monroeville 

Montevallo 

Montgomery 

Moody 

Morris 

Moulton 

Moundville 

Mountain Brook 

Mount Vernon 

Muscle Shoals 

Nev» Brockton 

New Hope 

Newton 

Northport 

Notasulga 

Oneonta 

Opelika 

Opp 

Orange Beach 

Owens Cross Roads 

Oxford 

Ozark 

Pelham 

Pell City 

Phenix City 

Phil Campbell 

Piedmont 

Pleasant Grove .... 

Prattville 

Priceville 

Prichard 

Rainbow City 



Total 

police 

employees 



Total 
officers 



4 

24 
25 
4 
19 
10 
10 
12 
20 
10 
12 
9 
5 
1 
60 
84 
20 
388 
2 
26 
18 
23 
54 
2 
4 
2 
14 
26 
22 
6 
9 
6 
8 
8 
10 
12 
14 
31 
5 

14 
18 
14 
496 
22 
II 
592 
13 
2 
9 
6 
55 
5 
26 
5 
4 
6 
39 
7 
15 
75 
23 
8 
1 
37 
38 
35 
24 
71 
4 
14 
13 
47 
4 
52 
17 



Total 
civilians 



20 
4 
11 
10 
6 
7 
16 
6 
8 
5 
5 
1 
52 
69 
16 
292 
2 
21 
14 
17 
35 
2 
3 
2 
10 
19 
17 
2 
5 
6 
5 
4 
6 
7 

10 

24 

2 



14 

10 
365 

17 
7 
422 
9 
2 
8 
4 

45 
4 

26 
4 
4 
2 

33 
4 
II 

63 
18 
4 
I 
31 
28 
30 
1 

54 
4 
II 
9 
37 
4 
41 
13 



8 

15 

4 

96 



5 
4 
6 
19 



3 
4 
4 

5 
4 
7 
3 
6 
4 
4 

131 
5 
4 

170 
4 



1 

2 

10 

1 



4 
6 
3 
4 

12 

5 
4 



6 
10 
5 
6 
17 



3 
4 
10 



II 

4 



239 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1988 — Continued 



City 



ALABAMA— Continued 



Rainsville 

Red Bay 

Reform 

Roanoke 

Robertsdale .. 
Russellville 

Samson 

Saraland 

Satsuma 

Scottsboro . . . 

Selma 

ShefTield 

Sipsey 

Slocomb 

Snead 

Southside 

Springville . . . 

Stevenson 

Sulligent 

Sumiton 

Sylacauga 

Talladega 

Tallassee 

Tarrant City 

Thomaston 

Thomasville 

Thorsby 

Town Creek 

Trinity 

Troy 

Trussville 

Tuscaloosa . . . 
Tuscumbia ... 

Tuskegee 

Union Springs 
Uniontown 

Valley 

Vestavia Hills 

Warrior 

Weaver 

Wetumpka ... 

Winfield 

York 



ALASKA 



Anchorage 

Bethel 

Bristol Bay Borough 

Cordova 

Craig 

Dillingham 

Fairbanks 

Haines 

Homer 

Juneau 

Kenai 

Ketchikan 

Klawock 

Kodiak 

Kotzebue 

Nome 

North Pole 

North Slope Borough 

Palmer 

Petersburg 

Saint Paul Island 

Seldovia 

Seward 

Sitka 

Skagway 

Soldotna 

Wrangell 



Total 

police 

employees 



13 

13 

3 

16 

10 

22 

9 

23 

12 

35 

75 

29 

3 

4 

3 

8 

4 

9 

3 

9 

40 

53 

20 

22 

1 

13 

2 

7 

2 

48 

15 

209 

20 

45 

15 

5 

21 

32 

10 

7 

16 

7 

9 



376 
21 

4 
11 

7 
13 
47 

9 
16 
55 
22 
29 

3 
31 
21 
14 
10 
56 
20 
10 

5 

2 
19 
25 

4 
13 
13 



Total 
officers 



Total 
civilians 



34 


6 


41 


12 


15 


5 


17 
1 


5 


9 


4 


? 




4 


3 


7 




36 


12 


11 


4 


157 


52 


16 


4 


36 


9 


n 




4 


1 


16 


5 


31 


1 


6 


4 


6 


1 


12 


4 


6 


1 


5 


4 


257 


119 


14 


7 


2 


2 


6 


5 


3 


4 


6 


7 


34 


13 


5 


4 


11 


5 


33 


22 


15 


7 


21 


8 


2 


1 


15 


16 


9 


12 


9 


5 


6 


4 


33 


23 


8 


12 


6 


4 


3 


2 


7 




10 


9 


17 


8 


4 




10 


3 


7 


6 



City 



ARIZONA 



Apache Junction 

Avondale 

Bisbee 

Buckeye 

Bullhead City .. 

Camp Verde 

Casa Grande .. 

Chandler 

Chine Valley .. 

Clarkdale 

Coolidge 

Cottonwood 

Douglas 

Eagar 

El Mirage 

Eloy 

Flagstaff 

Florence 

Fredonia 

Gilbert 

Glendale 

Globe 

Goodyear 

Guadalupe 

Hayden 

Holbrook 

Huachuca City 

Jerome 

Kearny 

Kingman 

Lake Havasu ... 

Mammoth 

Marana 

Mesa 

Miami 

Nogales 

Oro Valley 

Page 

Paradise Valley . 
Parker 



Payson 

Peoria 

Phoenix 

Pima 

Pinetop-Lakeside 

Prescott 

Prescott Valley . 

Safford 

Saint Johns 

San Luis 

Scottsdale 

Show Low 

Sierra Vista 

Snowflake-Taylor 

Somerton 

South Tucson 
Springerville .... 

Superior 

Surprise 

Tempe 

Thatcher 

Tolleson 

Tombstone 

Tucson 

Wickenburg 

Willcox 

Williams 

Winslow 

Youngtown 

Yuma 



Total 

police 

employees 



ARKANSAS 



Alma 

Arkadelphia 



47 
27 
22 
16 
68 
15 
59 
146 
13 

6 
24 
13 
44 

9 
16 
22 
93 
18 

4 

48 

256 

20 

17 

9 

5 
20 

8 

2 

9 
47 
50 

5 

12 
546 
11 
40 
31 
23 
36 
18 
21 
71 
2479 

2 
22 
78 
18 
14 

7 
15 
263 
22 
43 
10 
15 
37 

8 

15 

16 

302 

5 
21 

5 
942 
15 
19 
14 
29 
13 
113 



Total 
officers 



31 
20 
15 
10 
50 

8 
39 
95 

9 

6 
18 
11 
34 

7 
11 
17 
66 
12 

3 

34 

180 

15 

12 

8 

4 
15 

3 

2 

6 
30 
38 

4 
10 
357 
10 
31 
24 
15 
26 
12 
15 
50 
1801 

2 

14 
49 
12 
13 

6 

8 

168 

15 

31 

8 

10 
25 

6 

10 

15 

224 

5 
16 

4 
714 
10 
11 
10 
18 

8 
87 



4 
16 



240 



able 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1988 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



ARKANSAS— Continued 



vshdown 

laid Knob 

lading 

ieebe 

ienton 

Jenlonville 

Jerr>'ville 

ilytheville 

Jooncville 

Jradford 

)rinkley 

)ryant 

iuil Shoals 

Tabot 

Camden 

Carlisle 

^larksville 

Tonway 

Toming 

-rossett 

Danville 

Dardanelle 

!)e Queen 

Dermott 

Des Arc 

De Vails Bluff .. 

3e Witt 

Dumas 

Earle 

Elame 

El Dorado 

England 

Eudora 

Eureka Springs 

Farmmgton 

Fayetteville 

Fordyce 

Forrest City 

Fort Smith 

Gravette 

Green Forest 

Greenwood 

Gurdon 

Hamburg 

Harrison 

Hazen 

Heber Springs 

Helena 

Hope 

Horseshoe Bend 

Hot Springs 

Hoxie 

Huntsville 

Jacksonville 

Johnson 

Jonesboro 

Judsonia 

Kensetl 

Lake Village 

Lincoln 

Little Rock 

Lonoke 

Lowell 

Magnolia 

Malvern 

Mananna 

Marion 

Marked Tree 

Maumelle 

McCrory 

McGehee 

Mena 

Monticeilo 

Morrilton 

Mountain Home 



8 


7 


7 


3 


7 


6 


8 


4 


31 


24 


26 


19 


8 


6 


51 


42 


1 1 


7 


3 


3 


13 


9 


6 


s 


2 


2 


12 


a 


36 


26 


7 


4 


13 


7 


51 


43 


II 


6 


15 


10 


3 


2 


8 


5 


10 


8 


12 


7 


3 


3 


14 


10 


20 


12 


5 


4 


61 


51 


8 


5 


12 


7 


10 


5 


4 


3 


63 


51 


12 


7 


30 


21 


37 


105 


3 


3 


4 


3 


9 


8 


5 


3 


5 


4 


26 


20 


6 


-> 


16 


10 


21 


15 


20 


14 


s 


4 


76 


63 


8 


4 


<, 


4 


58 


42 


2 


2 


50 


41 


3 


2 


2 


2 


6 


6 


4 


4 


18 


347 


10 


5 


3 


3 


23 


17 


22 


15 


15 


12 


6 


6 


10 


6 


19 


14 


3 


3 


14 


9 


8 


8 


19 


15 


17 


11 


20 


14 



ARKANSAS— Continued 



Nashville 

Newport 

North Little Rock 

Osceola 

Ozark 

Paragould 

Pans 

Piggott 

Pine Bluff 

Pocahontas 

Prairie Grove 

Prescott 

Rogers 

Russellville 

Searcy 

Sheridan 

Sherwood 

Siloam Springs . . 

Smackover 

Springdale 

Star City 

Stuttgart 

Texarkana 

Trumann 

Van Buren 

Waldron 

Walnut Ridge ... 

Warren 

West Fork 

West Helena 

West Memphis 

Wynne 

Yellville 



CALIFORNIA 



Adelanto 

Alameda 

Albany 

Alhambra 

Alturas 

Anaheim 

Anderson 

Angels Camp 

Antioch 

Arcadia 

Areata 

Arroyo Grande 

Arvin 

Atascadero 

Atherton 

Atwater 

Auburn 

Azusa 

Bakersfield 

Baldwin Park 

Banning 

Barstow 

Bear Valley Springs 

Beaumont 

Bell 

Bell Gardens 

Belmont 

Belvedere 

Benicia 

Berkeley 

Beverly Hills 

Bishop 

Biythe 

Brawley 

Brea 

Brentwood 

Brisbane 

Broadmoor 

Buena Park 



9 


8 


22 


16 


158 


126 


26 


20 


7 


5 


30 


26 


11 


6 


8 


5 


129 


103 


15 


10 


5 


4 


10 


7 


47 


36 


30 


21 


27 


19 


5 


5 


46 


31 


21 


16 


5 


4 


59 


45 


3 


3 


27 


17 


59 


53 


14 


9 


20 


17 


6 


6 


10 


6 


16 


8 


2 


2 


22 


19 


61 


48 


16 


15 


2 


2 



17 


11 


118 


99 


33 


29 


146 


92 


8 


7 


464 


325 


23 


14 


8 


7 


89 


76 


89 


73 


25 


19 


25 


18 


17 


11 


34 


26 


23 


19 


28 


20 


26 


18 


74 


56 


316 


233 


82 


63 


36 


23 


44 


30 


13 


5 


25 


17 


64 


47 


59 


41 


37 


31 


7 


7 


45 


31 


223 


170 


186 


128 


19 


12 


26 


18 


38 


27 


105 


83 


14 


12 


21 


16 


9 


8 


128 


87 



241 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1988 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



CALIFORNIA— Continued 



CALIFORNIA— Continued 



Burbank 

Burlingame 

Calexico 

California City ... 

Calistoga 

Campbell 

Capitola 

Carlsbad 

Carmel 

Carpinteria 

Cathedral City ... 

Ceres 

Chico 

Chma Lake 

Chino 

Chowchilla 

Chula Vista 

Claremont 

Clayton 

Clearlake 

Cloverdale 

Clevis 

Coachella 

Coalinga 

Colfax 

Colma 

Colton 

Colusa 

Compton 

Concord 

Corcoran 

Coming 

Corona 

Coronado 

Costa Mesa 

Cotati 

Covina 

Crescent City 

Culver City 

Cypress 

Daly City 

Davis 

Delano 

Del Rey Oaks 

Desert Hot Springs 

Dinuba 

Dixon 

Dorris 

Dos Palos 

Downey 

Dunsmuir 

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 



220 
66 
40 
13 
16 
54 
32 
99 
30 
26 
53 
48 
87 
50 

106 
15 

214 
52 
12 
23 
15 
76 
30 
18 
4 
16 
75 
10 

249 

189 
21 
14 

123 
55 

184 
17 
82 
13 

135 
77 

130 

63 

42 

6 

23 

24 

24 

6 

8 

141 

5 

29 

173 
63 
39 

138 
75 
41 
12 

167 

1 

51 

12 

15 

131 

10 

3 

10 
31 

121 
25 
19 
56 
77 
6 



146 
44 
28 

9 
10 
40 
23 
71 
18 
19 
35 
33 
55 
42 
75 
10 
146 
40 
10 
18 
10 
58 
23 
12 

4 
13 
55 

9 

141 

138 

15 

12 

77 

40 

138 

10 

51 

12 

104 

52 

102 

47 

30 

6 
16 
18 
17 

2 

7 
108 

4 
26 
106 
42 
33 
106 
56 
27 

7 
115 

1 
41 
11 
10 
80 

9 

3 

6 
24 
78 
17 
14 
41 
56 

6 



3 
20 

1 

108 

51 

6 

2 
46 
15 
46 

7 
31 

1 
31 
25 
28 
16 
12 



Fremont 

Fresno 

Fullerton 

Gait 

Gardena 

Garden Grove . . . 

Gilroy 

Gtendale 

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 

Lakeport 

Lake Shastina 

La Mesa 

La Palma 

La Verne 

Lemoore 

Lincoln 

Lindsay 

Livermore 

Livingston 

Lodi 

Lompoc 

Long Beach 

Los Alamitos 

Los -Altos 

Los Angeles 

Los Banos 

Los Gatos 

Madera 

Mammoth Lakes 
Manhattan Beach 

Manteca 

Maricopa 

Marina 

Martinez 

Marysville 

Maywood 

McFarland 

Mendota 

Menio Park 



267 


181 


597 


389 


212 


141 


20 


14 


105 


86 


224 


162 


66 


40 


263 


183 


75 


51 


8 


8 


24 


17 


11 


10 


16 


10 


22 


16 


14 


9 


7 


6 


15 


13 


47 


35 


127 


84 


237 


151 


23 


17 


50 


37 


22 


19 


51 


34 


30 


23 


25 


21 


14 


9 


8 


7 


357 


210 


87 


63 


12 


6 


8 


7 


76 


47 


265 


188 


6 


5 


166 


118 


22 


17 


4 


4 


9 


7 


10 


10 


12 


10 


14 


12 


15 


12 


81 


47 


79 


53 


13 


11 


3 


3 


68 


53 


29 


23 


48 


36 


22 


19 


13 


9 


20 


16 


98 


61 


16 


10 


95 


63 


50 


35 


962 


639 


32 


26 


41 


27 


10,023 


7.553 


31 


19 


65 


41 


56 


34 


18 


15 


68 


55 


60 


41 


2 


2 


31 


26 


50 


38 


34 


23 


31 


23 


11 


6 


18 


12 


55 


41 



242 



fable 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1988 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



CALIFORNIA— Continued 



«lerced 

vlillbrae 

villi Valley ... 

vlilpitas 

vlodesto 

vionrovia 

vlontclair 

viontebello — 

vlonterey 

vlonterey Park 
vlorgan Hill ... 

vlorro Bay 

vlountain View 
viount Shasta 

>Japa 

National City ., 

•Needles 

NJevada City . . . 

Sewark 

*Jewman 

Sewpon Beach 

Vovato 

Dakdaie 

Oakland 

Dceanside 

Ontario 



Drange 

Driand 

Drovillc 

Oxnard 

Pacifica .'. 

Pacific Grove 

Palm Springs 

Palo Alto 

Palos Verdes Estates 

Paradise 

Pasadena 

Paso Robles 

Patterson 

Perris 

Petaluma 

Piedmont 

Pinole 

Pismo Beach 

Pittsburg 

Placentia 

Placerville 

Pleasant Hill 

Pleasanton 

Pomona 

Porterville 

Port Hueneme 

Red Bluff 

Redding 
Redlands 
Redondo Beach 
Redwood City 
Reedley 

Rialto 

Richmond 

Ridgecrest 

Rio Dell 

Rio Vista 

Ripon 

Riverbank 

Riverside 

Rocklin 

Rohnert Park . 

Roseville 

Ross 

Sacramento . . . 
Saint Helena 

Salinas 

San Anselmo 
San Bernardino 



95 
33 
29 
84 

248 
74 
64 

100 
61 

110 
45 
22 

112 
15 
78 
99 
18 
10 
80 
7 

208 
69 
25 

824 

225 

197 

202 
10 
33 

234 
60 
39 

123 

169 
34 
40 

337 
33 
13 
42 
76 
27 
31 
26 
75 
64 
23 
61 
89 

221 
55 
28 
28 

121 
gg 

14g 

117 
28 

120 

262 
46 
6 
11 
16 
17 

403 

31 

63 

82 

7 

847 
16 

184 
22 

349 



66 
24 
22 
62 

178 
56 
46 
73 
47 
71 
31 
16 
83 
9 
66 
73 
10 
8 
59 
6 

148 
52 
17 

590 

140 

151 

141 

9 

23 

151 
46 
28 
82 
97 
23 
26 

202 
27 
11 
28 
53 
20 
21 
17 
62 
49 
17 
41 
63 

147 
35 
20 
20 
81 
64 

102 
78 
20 
77 

182 

30 

5 

7 

10 
13 

272 

21 

42 

47 

7 

564 
12 

137 
16 

230 



29 
9 

7 
22 
70 
18 
18 
27 
14 
39 
14 

6 
29 

6 
12 
26 

8 

2 
21 

1 
60 
17 

8 

234 

85 

46 

61 

1 
10 
83 
14 
11 
41 
72 
11 
14 
135 

6 

2 
14 
23 

7 
10 

9 
13 
15 

6 
20 
26 
74 
20 



40 

24 

46 

39 

8 

43 

80 

16 

1 

4 

6 

4 

131 

10 

21 

35 



283 

4 

47 

6 

119 



CALIFORNIA— Continued 

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 

Susanvilie 

Sutter Creek 

Taft 

Tiburon 

Torrance 

Tracy 

Tulare 

Tulelake 

Turlock 

Tustin 

Twin Cities 

Ukiah 

Union City 

Upland 

Vacaville 

Vallejo 

Ventura 

Vernon 

Visalia 

Walnut Creek 

Waterford 

Watsonville 

Weed 

West Covina 

Westminster 

Westmorland 

West Sacramento 

Wheatland 



58 

50 

64 

2 

2408 

44 

2512 

58 

34 

40 

1229 

1 

133 
80 
28 

143 
46 
99 

543 

224 

180 

105 
82 

280 
33 

181 
39 
23 
52 
48 
19 
30 
14 
18 
40 

136 
12 
16 
15 

126 
75 
43 

110 
3 

379 
31 

167 
14 
6 
18 
18 

319 

54 

40 

3 

66 

101 
38 
30 
89 
98 
91 

170 

177 
62 

105 

100 

8 

66 

11 

150 

121 

5 

63 

5 



48 

37 

46 

2 

1738 

31 

1803 

49 

25 

26 

1013 

1 

86 

52 

22 

102 
35 
73 

364 

137 

145 
74 
59 

153 
26 

123 
26 
15 
35 
39 
14 
19 
9 
14 
29 
93 
9 
11 
12 
89 
54 
28 
73 
3 

243 
21 

118 

13 

5 

13 
15 

238 
39 
32 
3 
45 
69 
29 
22 
60 
70 
58 

121 

111 
45 
76 
73 
7 
49 
7 

112 

87 

5 

48 

4 



243 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1988 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



CALIFORNIA— Continued 



COLORADO— Continued 



Whittier .. 
Williams . 
Willits ... 
Willows . . 
Winters 
Woodlake 
Woodland 
Yreka . . . . 
Yuba City 



COLORADO 



Alamosa 

Amonito 

Arvada 

Aspen 

Ault 

Aurora 

Avon 

Basalt 

Bayfield 

Berthoud 

Black Hawk 

Boulder 

Bow Mar 

Breckenndge 

Brighton 

Broomfield 

Brush 

Buena Vista 

Burlington 

Calhan 

Canon City 

Carbondale 

Castle Rock 

Cedaredge 

Center 

Central City 

Cherry Hills Village 
Colorado Springs . . 
Commerce City 

Cortez 

Craig 

Crested Butte 

Cripple Creek 

Dacono 

De Beque 

Del Norte 

Delta 

Denver 

Dillon 

Dinosaur 

Dolores 

Durango 

Eagle 

Eaton 

Edgewater 

Elizabeth 

Empire 

Englewood 

Erie 

Estes Park 

Evans 

Fairplay 

Federal Heights 

Firestone 

Flagler 

Florence 

Fort Collins 

Fort Lupton 

Fort Morgan 

Fountain 

Fowler 

Frederick 

Frisco 



122 

6 

17 

9 

9 

9 

69 

22 

53 



22 

3 

154 

25 

3 

530 

8 

4 

3 

5 

1 

171 

2 

21 

36 

49 

11 

6 

8 

1 

32 

7 

19 

3 

6 

3 

22 

564 

51 

30 

24 

4 

3 

3 

I 

5 

13 

1566 

5 

1 

2 

44 

4 

6 

15 

1 

2 

95 

3 

20 

14 

1 

26 

3 

1 

11 

142 

17 

25 

20 

3 

4 



37 



16 



19 


3 


3 




112 


42 


22 


3 


3 




384 


146 


7 


1 


3 


1 


2 


1 


5 




1 




120 


51 


7 




14 


7 


26 


10 


35 


14 


9 


2 


5 


1 


8 




1 




23 


9 


6 


1 


14 


5 


3 




6 




2 


1 


20 


2 


393 


171 


39 


12 


21 


9 


16 


8 


4 




3 




2 
1 


1 


4 


1 


10 


3 


1326 


240 


4 
1 


1 


■} 




26 


18 


4 




5 


1 


12 
1 


3 


2 




68 


27 


3 




13 


7 


11 
1 


3 


17 


9 


2 
1 


1 


6 


5 


92 


50 


11 


6 


19 


6 


14 


6 


3 




3 


1 


7 


1 



Fruila 

Georgetown 

Glendale 

Glenwood Springs 

Golden 

Granada 

Grand Junction 

Green Mountain Falls 
Greenwood Village ... 

Gunnison 

Haxtun 

Hayden 

Holly 

Holyoke 

Idaho Springs 

Ignacio 

Johnstown 

Julesburg 

Kersey 

Kremmling 

Lafayette 



La Junta 

Lakeside 

Lakewood 

Lamar 

La Salle 

Las Animas 

Leadville 

Limon 

Littleton 

Lochbuie 

Log Lane Village ... 

Longmont 

Louisville 

Loveland , 

Lyons 

Manassa 

Mancos , 

Manitou Springs 

Meeker 

Milliken 

Mintum 

Monte Vista 

Montrose 

Morrison 

Mountain View 

Mount Crested Butte 

Nederland 

New Castle 

Northglenn 

Olathe 

Ordway 

Pagosa Springs 

Palisade 

Palmer Lake 

Paonia 

Parachute 

Parker 

PlatteviUe 

Pueblo 

Rangely 

Ridgeway 

Rifle 

Rocky Ford 

Salida 

Sheridan 

Silt 

Silverthorne 

Snowmass Village ... 

Springfield 

Steamboat Springs 

Sterling 

Stratton 

Thornton 

Trinidad 



3 


3 


24 


18 


16 


14 


5 


3 


289 


194 


24 


18 


4 


4 


7 


7 


7 


6 


4 


4 


72 

1 


56 
1 


1 
110 


1 
77 


20 


17 


71 
1 


46 
1 


1 
2 


I 
2 


18 


12 


4 


4 


3 


3 


4 


3 


i9 


14 


24 


19 


2 


2 


5 


5 


3 


3 


2 


2 


62 


47 


4 


3 


7 


3 


4 


4 


2 


2 


3 


3 


3 


3 


6 


2 


16 


11 


3 


3 


222 


167 


9 


5 


3 


1 


14 


9 


8 


7 


11 


10 


30 


20 


3 


3 


8 


6 


8 


7 


4 


4 


28 


18 


34 


23 


3 


1 


107 


75 


23 


17 



244 



able 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1988 — Continued 



Cily 



Toial 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



Total 

civilians 



COLORADO— Continued 



ail 

'ictor 

Valsenburg . . . 
Westminster .. 
Vheal Ridge . 

Vindsor 

Voodland Park 
Vray 



CONNECTICUT 



insonia 

ivon 

»Jerlin 

Bethel 

loomfleld 

Branford 

Bridgeport 

iristol 

irookfield 

Tanton 

rheshire 

' riinton 

I Toventry 

I Tromwell 

Danbury 

3arien 

Derby 

Sasi Hampton 

iast Hartford 

East Haven 

Easton 

East Windsor 

Enfield 

Fairfield 

Farmington 

Glastonbury 

Granby 

Greenwich 

Groton 

Groton Long Point 

Groton Town 

Guilford 

Hamden 

Hartford 

Jewett City 

Madison 

Manchester 

Meriden 

Middlebury 

Middletown 

Milford 

Monroe 

Naugatuck 

New Britain 

New Canaan 

New Haven 

Newington 

New London 

New Milford 

Newtown 

North Stanford 

North Haven 

Norwalk 

Norwich 

Old Saybrook 

Orange 

Plainfield 

Plainville 

Plymouth 

Putnam 

Ridgefield 

Rocky Hill 

Seymour 



42 

1 

16 

151 

80 

9 

16 

11 

10 



37 
37 
42 
34 
58 
39 

460 

102 
32 
19 
53 
26 
15 
25 

139 
53 
25 
16 

142 
53 
16 
20 
94 

101 
50 
66 
15 

179 

36 

6 

68 

42 

101 

614 
16 
38 

118 

136 
15 

104 

119 
41 
46 

168 
44 

439 
48 
86 
47 
38 
19 
55 

202 
81 
30 
37 
20 
38 
19 
19 
41 
36 
25 



27 
1 

10 
104 

56 
8 

10 
6 
6 



33 
30 
34 
28 
47 
37 

410 
94 
27 
14 
44 
23 
11 
19 

131 
47 
24 
14 

120 
48 
14 
15 
76 
95 
38 
49 
10 

156 
32 
6 
57 
32 
91 

483 

8 

32 

91 

119 

9 

84 

104 
34 
42 

148 
40 

379 
43 
74 
39 
28 
18 
46 

166 
72 
26 
32 
19 
32 
16 
15 
36 
30 
24 



15 



U 

10 

10 

131 

8 

6 

27 

17 

6 

20 

15 

7 

4 

20 

4 

60 

5 

12 
8 

10 
1 
9 

36 
9 
4 
5 
1 
6 
3 
4 
5 
6 
1 



CONNECTICUT— Continued 



Shelton 

Simsbury 

Southington ... 
South Windsor 

Stamford 

Stonington 

Stratford 

Suffield 

Thomaston 

Torrington 

Trumbull 

Vernon 

Wallingford . . . 

Waterbury 

Waterford 

Watertown 

West Hartford 
West Haven . . 

Weston 

Westport 

Weihersfield .. 
Willimantic ... 

Wilton 

Windsor 

Windsor Locks 

Winsted 

Wolcott 

Woodbridge 



DELAWARE 



Bethany Beach 

Blades 

Bridgeville 

Camden- Wyoming 

Clayton 

Dagsboro 

Delmar 

Dewey Beach 

Dover 

Elsmere 

Felton 

Fenwick Island 

Georgetown 

Greenwood 

Harrington 

Laurel 

Lewes 

Middletown 

Milford 

Millsboro 

Milton 

Newark 

New Castle 

Newport 

Ocean View 

Rehoboth Beach 

Seaford 

Selbyville 

Smyrna 

South Bethany ... 
Wilmington 



DISTRICT OF COLUMBIA 



Washington 



FLORIDA 



Alachua 

Altamonte Springs 

Altha 

Apalachicola 

Apopka 

Arcadia 



45 


41 


41 


33 


57 


52 


37 


29 


303 


271 


37 


28 


112 


96 


19 


14 


14 


U 


73 


67 


73 


61 


63 


48 


90 


71 


330 


285 


50 


44 


36 


33 


153 


131 


123 


107 


14 


13 


76 


67 


53 


42 


41 


35 


42 


39 


53 


45 


25 


19 


25 


20 


29 


23 


26 


19 



8 




















74 


59 


12 


10 






















17 


17 


25 


18 










60 


47 










23 


17 


22 


17 






15 


11 




5 


316 


250 



4638 



3920 



20 


14 


101 


76 


7 


5 


6 


5 


47 


35 


23 


17 



245 



Table 72. — Number of Full-time Law Enforcemenr Employees, Cities, October 31, 1988 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



FLORIDA— Continued 



Atlantic Beach 

Atlantis 

Aubumdale 

Avon Park 

Bal Harbour 

Bartow 

Bay Harbor Islands 

Belleair 

Belleair Beach 

Belleair Bluffs 

Belle Glade 

Belleview 

Biscayne Park 

Blountstown 

Boca Raton 

Bonifay 

Bowling Green 

Boynton Beach 

Bradenton 

Bradenion Beach 

Brooksville 

Bunnell 

Bushnell 

Callaway 

Cape Coral 

Casselberry 

Cedar Grove 

Center Hill 

Century 

Chattahoochee 

Chiefland 

Chipley 

Clearwater 

Clermont 

Clewiston 

Cocoa 

Cocoa Beach 

Coconut Creek 

Coleman 

Cooper City 

Coral Gables 

Coral Springs 

Crescent City 

Crestview 

Cross City 

Crystal River 

Dade City 

Davenport 

Davie 

Daytona Beach 

Daytona Beach Shores 

Deerfield Beach 

De Funiak Springs ... 

De Land 

Delray Beach 

Dundee 

Dunedm 



Dunnellon 

Eagle Lake 

Eatonville 

Edgewater 

Edgewood 

El Portal 

Eustis 

Fellesmere 
Fernandina Beach 

Flagler Beach 

Florida City 

Fort Lauderdale 

Fort Meade 

Fort Myers 

Fort Pierce 

Fort Walton Beach 

Frostproof 

Fruitland Park 



FLORIDA— Continued 



27 

25 

26 

24 

28 

49 

26 

14 

6 

7 

60 

10 

7 

II 

177 

10 

5 

136 

79 

10 

28 

6 

5 

20 

131 

61 

6 

2 

6 

10 

6 

6 

314 

20 

18 

58 

54 

66 

2 

43 

177 

199 

9 

26 

3 

25 

29 

9 

114 

260 

30 

119 

12 

64 

177 

12 

68 

10 

5 

9 

31 

8 

5 

36 

8 

31 

13 

22 

678 

16 

165 

121 

61 

13 

7 



19 
15 
20 
16 

21 

38 

21 

10 

5 

7 

45 

8 

7 

6 

115 

5 

5 

114 

62 

9 

19 

5 

5 

16 

83 

41 

5 

2 

6 

9 

5 

6 

223 

15 

II 

44 

43 

50 

2 

34 

130 

136 

6 

19 

3 

16 

18 

5 

91 

200 

23 

95 

10 

44 

122 

8 

54 

7 

5 

8 

23 

7 

5 

26 

7 

24 

8 

16 

446 

11 

116 

99 

47 

8 

6 



10 
I 

7 

5 

6 

232 

5 

49 

22 

14 

5 

1 



Gainesville 

Golden Beach 

Graceville 

Greenacres City 

Green Cove Springs 

Greenville 

Groveland 

Gulf Breeze 

Gulfport 

Gulf Stream 

Haines City 

Hallandale 

Havana 

Hialeah 

Hialeah Gardens 

Highland Beach 

High Sprmgs 

Hillsboro Beach 

Holly Hill 

Hollywood 

Holmes Beach 

Homestead 

Howey- 1 n-The-Hills 

Indialantic 

Indian Creek 

Indian Harbour Beach 
Indian River Shores 
Indian Rocks Beach 

Indian Shores 

Inverness 

Jacksonville 

Jacksonville Beach 

Jasper 

Juno Beach 

Jupiter 

Jupiter Inlet Colony 

Jupiter Island 

Kenneth City 

Key West 

Kissimmee 

Lady Lake 

Lake Alfred 

Lake City 

Lake Clarke Shores .. 

Lake Hamilton 

Lake Helen 

Lakeland 

Lake Mary 

Lake Park 

Lake Wales 

Lake Worth 

Lantana 

Largo 

Lauderdale-by-the-Sea 

Leesburg 

Lighthouse Point 

Live Oak 

Longboat Key 

Longwood 

Lynn Haven 

Madeira Beach 

Madison 

Maitland 

Manalapan 

Mangonia Park 

Margate 

Marianna 

Mascotte 

Medley 

Melbourne 

Melbourne Beach 

Mexico Beach 

Miami 

Miami Beach 

Miami Shores 



313 


207 


11 


11 


10 


6 


65 


40 


16 


13 


12 


7 


18 


16 


29 


23 


12 


11 


38 


28 


124 


98 


12 


9 


429 


312 


28 


21 


10 


10 


10 


6 


15 


12 


30 


23 


456 


296 


9 


8 


88 


68 


4 


4 


16 


11 


15 


15 


22 


15 


20 


20 


15 


14 


11 


10 


13 


12 


1,811 


1,097 


54 


38 


6 


6 


14 


12 


80 


57 


4 


4 


17 


14 


11 


10 


77 


58 


98 


63 


18 


13 


12 


8 


29 


23 


9 


9 


7 


5 


5 


5 


220 


159 


21 


17 


30 


23 


36 


27 


119 


89 


32 


24 


153 


107 


16 


14 


46 


35 


37 


27 


16 


14 


25 


19 


35 


30 


16 


12 


16 


15 


10 


9 


40 


31 


12 


8 


17 


16 


113 


83 


21 


16 


5 


5 


37 


29 


161 


120 


9 


8 


4 


4 


1.358 


1 ,038 


415 


303 


35 


28 



246 



jble 72.— Number of Full-time Law Enforcement Employees, Cities, October 31, 1988— Continued 



Cily 



FLORIDA— Continued 



iami Springs 

ilton 

inneola 

iramar 

onticello 

ount Dora 

ulberry 

aples 

eptune Beach 

ew Port Richey 

ew Smyrna Beach — 

iceville 

orth Bay Village 

orth Lauderdale 

orth Miami 

orth Miami Beach 

orth Palm Beach 

orth Port 

ak Hill 

akland 

akland Park 

cala 

cean Ridge 

•coee 

'keechobee 

•pa Locka 

'range Cily 

'range Park 

irlando 

irmond Beach 

tviedo 

ahokee 

alatka 

aim Bay 

'aim Beach 

'aim Beach Gardens 
•aim Beach Shores 

'almetto 

'aim Springs 

*anama Cily 

*anama Cily Beach ... 

*arker 

'arkland 

*embroke Pines 

^ensacola 

'erry 

'inellas Park 

Plantation 

r'lant Cily 

Pompano Beach 

Ponce Inlet 

Port Orange 

Port Richey 

Port Saint Joe 

Port Saint Lucie 

Puma Gorda 

Quincy 

Redinglon Beach 

Riviera Beach 

Rockledge 

Royal Palm Beach — 

Saint Augustine 

Sainl Augustine Beach 

Saint Cloud 

Sainl Leo 

Sainl Petersburg 

Saint Petersburg Beach 

Sanford 

Sanibel 

Sarasota 

Satellite Beach 

Sea Ranch Lakes 

Sebastian 

Sebring 

Seminole Big Cypress 



Total 

police 

employees 



45 

15 

5 

81 

8 

23 

12 

97 

24 

39 

59 

20 

27 

68 

117 

127 

44 

33 

5 

2 

100 

151 

15 

34 

22 

56 

14 

29 

654 

79 

28 

18 

37 

129 

106 

68 

10 

36 

30 

105 

40 

8 

15 

132 

187 

18 

89 

202 

67 

280 

12 

63 

16 

16 

61 

34 

57 

8 

117 

34 

21 

44 

10 

37 

3 

650 

45 

93 

29 

240 

20 

12 

27 

31 

33 



Total 
officers 



37 

15 

5 

69 

8 

16 

8 

68 

19 

30 

45 

15 

21 

53 

99 

95 

36 

21 

5 

2 

78 

103 

15 

26 

16 

44 

13 

23 

463 

60 

20 

12 

28 

83 

70 

56 

8 

27 

24 

77 

31 

7 

14 

104 

132 

16 

62 

133 

51 

189 

7 

47 

10 

11 

38 

23 

51 

7 

97 

26 

19 

34 

9 

27 

3 

480 

31 

74 

23 

155 

14 

10 

19 

23 

26 



Total 
civilians 



12 



6 

12 

1 

6 

191 

19 

8 

6 

9 

46 

36 

12 

2 

9 

6 

28 

9 

1 

1 

28 

55 

2 

27 

69 

16 

91 

5 

16 

6 

5 

23 

11 

6 

1 

20 



City 



170 
14 
19 

6 
85 

6 



FLORIDA— Continued 



Sewall's Point — 

Sneads 

South Bay 

South Daytona ... 

South Miami 

South Palm Beach 

Springfield 

Starke 

Stuart 

Sunrise 

Surfside 

Sweetwater 

Tallahassee 

Tamarac 

Tampa 

Tarpon Springs .. 

Tavares 

Temple Terrace 

Tequesta 

Titusville 

Treasure Island . . 

Umatilla 

Valparaiso 

Venice 

Vero Beach 

Virginia Gardens 

Waldo 

Wauchula 

Webster 

West Melbourne . 

West Miami 

West Palm Beach 
Wewahitchka — 
White Springs ... 

Wildwood 

Williston 

Wilton Manors .. 

Windermere 

Winter Garden .. 
Winter Haven ... 

Winter Park 

Winter Springs .. 

Zephyrhills 

Zolfo Springs 



GEORGIA 



Abbeville 

Acworth 

Adairsville 

Adel 

Alamo 

.Alapaha 

Albany 

Alma 

Alpharetta 

Americus 

Aragon 

Arlington 

Ashbum 

Athens 

Atlanta 

.\ubum 

Augusta 

Austell 

Avondale Estates 

Bainbridge 

Baldwin 

Ball Ground 

Bamesville 

Bartow 

Barwick 

Baxley 

Blackshear 

Blairsville 



Total 

police 

employees 



8 

7 
17 
31 
55 

8 
17 
16 
53 
168 
23 
19 
370 
94 
945 
50 
22 
46 
20 
90 
22 

8 
13 
55 
79 

6 

7 
14 

3 

16 

16 

310 

1 

2 
13 
12 
41 

4 
31 
81 
87 
43 
29 

5 



3 
17 

8 
18 

2 

1 
223 

9 
30 
46 

7 

4 

12 

117 

1,704 

4 

176 

14 

6 
46 

4 

1 
12 

4 

1 
10 
II 

4 



Total 
officers 



Total 
civilians 



8 

3 

9 

22 

44 

8 

12 

11 

39 

116 

18 

18 

268 

72 

726 

36 

16 

33 

16 

66 

19 

7 

8 

37 

56 

6 

7 

11 

3 

15 

13 

215 

1 

2 

9 

7 

30 

4 

23 

59 

65 

34 

20 

4 



3 
13 

7 

16 

2 

1 

185 

9 

23 

37 

4 

4 

8 

87 

1,395 

4 

157 

10 

6 

39 

4 

1 

11 

3 

1 

10 

10 

4 



247 



Table 72.— Number of Full-time Law Enforcement Employees, Cities, October 31, 1988— Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
ofTicers 



GEORGIA— Continued 



GEORGIA— Continued 



Blakely 

Bloomingdale 
Blue Ridge 

Boston 

Bowdon ..... 
Brooklet . . . . 

Broxton 

Brunswick 
Buchanan . . . 

Butler 

Byron 

Cairo 

Calhoun 

Camilla 

Canon 

Canton 

Carrollton . . . 
Cartersville . 
Cedartown . . 
Cenlerville .. 
Chamblee ... 
Chatsworth 
Chauncey . . . 
Chickamauga 
Clarkesville . 
Clarkston . . . 

Claxton 

Clayton 

Cleveland . . . 

Climax 

Cochran 

Cohutta 

Coolidge .... 
College Park 

Collins 

Colquitt 

Columbus . . . 

Comer 

Commerce . . 

Conyers 

Cordele 

Cornelia .... 
Covington 
Crawfordville 
Gumming ... 

Cusseta 

Cuthbert .... 

Dallas 

Dalton 

Damascus ... 
Danielsville . 
Davisboro 

Dawson 

Decatur 

DiUard 

Doerun 

DonalsonviUe 

Doraville 

Douglas 

Douglasville 

Dublin 

Duluth 

East Dublin 

Eastman 

East Point . . , 

Eatonton 

Edison 

EllaviUe 

Emerson 

Eton 

Fairburn 

Fairmont 

Fayetteville .. 

Fitzgerald 

Folkston 



19 

4 

5 

4 

U 

3 

5 

70 

6 

7 

11 

18 

29 

19 

I 

19 

50 

40 

23 

11 

33 

12 

1 

9 

6 

11 

7 

8 

6 

1 

11 

1 

3 

72 

1 

6 

431 

1 

18 

38 

33 

13 

41 

1 

13 

6 

11 

17 

74 

2 

1 

1 

22 

46 

2 

7 

11 

32 

39 

30 

46 

28 

12 

16 

104 

11 

2 

4 

2 

1 

16 

4 

25 

28 

4 



15 

4 

5 

4 

7 

3 

5 

57 

5 

5 

8 

15 

29 

15 

1 

17 

44 

30 

19 

5 

31 

9 

I 

5 

5 

9 

6 

8 

6 

1 

10 

1 

3 

61 

1 

6 

339 

1 

11 

26 

26 

13 

34 

1 

8 

3 

7 

12 

62 

2 

1 

1 

18 

38 

1 

6 

7 

31 

32 

24 

37 

21 

7 

11 

93 

10 

2 

4 

2 

1 

12 

3 

17 

22 

4 



92 



Forest Park 

Forsyth 

Fort Gaines 

Fort Oglethorpe 

Franklin 

Gainesville 

Garden City 

Glennville 

Glenwood 

Gordon 

Grantville 

Gray 

Greensboro 

Greenville 

Griffin 

Grovetown 

Hagan 

Hahira 

Hamilton 

Hampton 

Hapeville 

Harlem 

Hartwell 

Hawkinsville 

Hazlehurst 

Helen 

Helena 

Hepzibah 

Hiawassee 

Hinesville 

Hoboken 

Hogansville 

Holly Springs 

Homerville 

Hoschton 

Ideal 

Irwinton 

Ivey 

Jackson 

Jasper 

Jefferson 

Jeffersonville 

Jesup 

Jonesboro 

Kennesaw 

Kingsland 

Lafayette 

La Grange 

Lake City 

Lakeland 

Lavonia 

Lawrenceville 

Leary 

Leesburg 

Lenox 

Leslie 

Lilbum 

Lincolnton 

Linwood 

Lithonia 

Locust Grove 

Loganville 

Lookout Mountain 

Louisville 

Ludowici 

Lumber City 

Lumpkin 

Luthersville 

Lyons 

Macon 

Madison 

Manchester 

Mansfield 

Marietta 

Marshallville 



95 


35 


18 


13 


4 


4 


18 


14 


5 


5 


74 


68 


20 


18 


15 


9 


3 


3 


11 


7 


4 


4 


4 


4 


8 


8 


7 


5 


64 


55 


12 


8 


2 


1 


7 


4 


7 


7 


36 


31 


9 


5 


16 


U 


10 


9 


14 


9 


11 


7 


2 


2 


6 


2 


48 


39 


3 


2 


13 


9 


2 


2 


9 


6 


3 


3 


3 


2 


15 


11 


7 


7 


14 


10 


5 


5 


26 


20 


9 


9 


30 


22 


24 


17 


23 


18 


78 


64 


13 


9 


6 


6 


11 


9 


27 


24 


3 


3 


4 


3 


17 


12 


3 


3 


5 


4 


11 


8 


7 


5 


10 


7 


11 


7 


10 


10 


8 


4 


4 


3 


5 


5 


4 


4 


15 


11 


306 


241 


13 


9 


16 


13 


110 


94 


8 


4 




248 



able 72.— Number of Full-time Law Enforcement Employees, Cities, October 31, 1988— Continued 



City 



GEORGIA— Continued 



laysville 

-Ic Donough . 

1c Rae 

leigs 

letter 

lidway 

lilledgevilie .. 

-lillen 

lonroe 

-lontezuma . . . 

lonticello 

iorrow 

-lorven 

4oultrie 

dount Vernon 

Jahunta 

Jashvjlle 

Jewinglon — 

-lewnan 

Jewton 

Jicholls 

Jorcross 

Jorman Park 

)akwood 

)cilla 

)dum 

)glethorpc . . . 

)mega 

'almeito 

'atterson 



*eachtree City .. 

*elham 

'embroke 

*erry 

*ine Lake 

'ine Mountain 

'lains 

^ooler 

^orterdale 

^orl Wenlworth 

^oulan 

Powder Springs . 

i| Quitman 

Ray City 

Reidsville 

Remerton 

Richland 

Richmond Hill 

Rmggold , 

Rincon , 

Rucrdale , 

Roberta , 

Ku^helle 

Ri'Lkmart 

Rome 

Rossville 

Roswell 

Ru\ston 

Saint Marys 

SjiJis 

S^n.innah 

s,i . ,innah Beach 



Shcllman . 
Sk\ Valley 
Smuhville 
Smyrna 
Snellville . 
Soperton . 
Spcirks 

Sparta 

Springfield 
SiJlcsboro 
Siatham .. 



Total 

police 

employees 



4 

7 

3 

55 

8 

30 

23 

13 

30 

2 

48 

2 

11 

16 
3 

34 
7 
3 

22 
1 
7 

15 
1 

6 
4 



Total 
officers 



Total 
civilians 



3 


3 


9 


9 


12 


2 


9 


8 


19 


15 


18 


13 


9 


5 


3 


3 


12 


7 


6 


4 


7 


6 


32 


26 


3 


3 


4 


4 


18 


14 


73 


64 


14 


9 


102 


73 


14 


10 


31 


24 


3 


3 


403 


320 


21 


14 


4 


4 


3 


3 


7 


4 


4 


4 


91 


79 


26 


19 


8 


5 


12 


9 


3 


3 


43 


34 


7 


7 



City 



GEORGIA— Continued 



Stone Mountain 
Summerville ... 

Swainsboro 

Sycamore 

Sylvania 

Sylvester 

Talbotion 

Tallapoosa 

Tallulah Falls .. 

Temple 

Tennille 

Thomaston — 
Thomasville 

Thomson 

Thunderbolt ... 

Tifton 

Tignall 

Toccoa 

Trenton 

Trion 

Tunnel Hill ... 

Twin City 

Tyrone 

Union City — 

Uvalda 

Valdosta 

Vidaha 

Vienna 

Villa Rica .... 

Wadley 

Warwick 

Washmglon ... 
Walkinsville .. 
Waverly Hall . 

Waycross 

Waynesboro 
West Pomt ... 

Whigham 

Willacoochee 

Winder 

Winterville 

Woodbine 

Woodstock 

Wrens 

Wrighlsville ... 
Zebulon 



Hilo .... 
Honolulu 



Aberdeen 

American Falls 

Arco 

Blackfoot 

Boise 

Bonners Ferry 

Buhl 

Caldwell 

Cascade 

Chubbuck 

Coeur d'Alene 

Emmett 

Firth 

Fruitland 

Garden City 

Gooding 

Grangeviile 

Hailey 

Heyburn 

Homedale 

Idaho Falls ... 



HAWAII 



IDAHO 



Total 

police 

employees 



Total 
officers 



15 

17 

26 
3 

12 

16 
4 

12 
1 
7 
8 

42 

49 

13 
9 

51 
3 

24 
5 
7 
4 
3 
g 

23 
1 

93 

30 
5 

15 
7 
2 

IS 
4 
3 

59 

19 

18 
2 
2 

27 
2 
5 

23 

15 
6 
5 



176 
2,084 



10 
8 

1 
25 
168 

7 
9 

35 
2 

13 

53 
9 
1 
6 

17 
7 
6 
7 
4 
5 

90 



11 

17 

26 
2 

10 

13 
4 
8 
1 
4 
5 

34 

39 

11 
5 

40 
2 

20 
5 
7 
4 
3 
7 

18 
1 

78 

26 
5 

11 
4 
2 
10 
4 
3 

41 
15 
14 
2 
2 

21 
2 
5 

16 

15 

6 

4 



114 
1,706 



5 
8 
1 

18 

152 

6 

7 

26 
2 

II 

43 
9 
1 
5 

13 
7 
5 
6 
4 
5 

69 



Total 
civilians 



7 
16 
1 
2 
9 



2 
10 



249 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1988 — Continued 



City 



Total 

police 

employees 



Total 
ofRcers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
ofTicers 



IDAHO— Continued 

Jerome 

Kellogg 

Ketchum 

Lava Hot Springs 

Lewiston 

McCall 

Meridian 

Montpelier 

Moscow 

Mountain Home 

Nampa 

New Plymouth 

Orofino 

Osbum 

Payette 

Pinehurst 

Pocatello 

Post Falls 

Potlach 

Preston 

Priest River 

Rexburg 

Rigby 

Rupert 

Saint Anthony 

Salmon 

Sandpoint 

Shelley 

Soda Springs 

Sun Valley 

Twin Falls 

Wallace 

Weiser 

Wilder , 

ILLINOIS 

Abingdon 

Addison 

Albany 

Aledo 

Algonquin 

Alorton 

Alsip 

Altamont 

Alton 

Amboy 

Andalusia 

Anna 

Aniioch 

Areola 

Arlington Heights 

Arthur 

Ashland 

Auburn 

Aurora 

Avon 

Harrington 

Barrington Hills 

Bartlett 

Bartonville 

Batavia 

Beardstown 

Bedford Park 

Beecher 

Belleville 

Bellwood 

Belvidere 

Benld 

Bensenville 

Benton 

Berkeley 

Berwyn 

Bethalto 

Bloomingdale 



ILLINOIS— Continued 



6 


3 


II 


3 


2 




41 


14 


S 




11 


2 


S 




25 


5 


16 


6 


36 


12 


6 


1 


3 


1 


10 


1 






63 


22 


12 


8 








1 


14 


1 






11 


1 








1 


10 


6 


6 




6 




8 




42 


13 


1 




8 


4 


3 




4 


4 


61 
1 


20 


7 




17 


5 


5 


3 


38 


8 


3 




63 
1 


11 


-) 




q 




13 


7 


4 




98 


34 


s 




1 




4 


4 


179 
1 


31 


27 


13 


16 


5 


22 


10 


6 


7 


22 


5 


6 


4 


26 


6 


<; 




61 


10 


41 


7 


24 


2 


3 





Bloomington , 

Blue Island , 

Blue Mound , 

Bolingbrook 

Bourbonnais , 

Bradley 

Braidwood , 

Breese 

Bridgeport , 

Bndgeview 

Brighton , 

Broadview 

Brookfield 

Brooklyn 

Buffalo Grove 

Bull Valley 

Bunker Hill 

Burbank , 

Bumham 

Burr Ridge 

Byron 

Cahokia 

Cairo 

Calumet City , 

Calumet Park 

Canton , 

Carbon Cliff , 

Carbondale 

Carlinville , 

Carlyle 

Carmi 

Carol Stream , 

Carpentersville 

CarroUton , 

Cartervilie , 

Carthage , 

Cary 

Casey , 

Casey ville , 

Central City , 

Centralia , 

Centreville , 

Champaign , 

Channahon 

Charleston 

Chatham 

Chenoa 

Cherry Valley 

Chester 

Chicago 

Chicago Heights .., 

Chicago Ridge 

Chillicothe 

Chrisman 

Christopher 

Cicero 

Clarendon Hills ... 

Clinton 

Coal City 

Coal Valley 

Cobden 

CoUinsville 

Colona 

Columbia 

Coulterville 

Country Club Hills 

Countryside 

Crest Hill 

Crestwood 

Crete 

Creve Coeur 

Crystal Lake 

Dallas City 

Danville 

Darien 



43 



31 


29 


32 


28 


9 


2 


59 


48 


1 


~> 


4 


-) 


47 


39 


13 


9 


19 


17 


4 


4 


40 


28 


17 


12 


86 


60 


21 


16 


24 


17 


2 


■) 


63 


51 


14 


10 


6 


6 


10 


9 


54 


38 


41 


37 


4 


4 


4 


4 


3 


3 


19 


16 


6 


6 


9 


5 


t 


2 


34 


27 


17 


12 


112 


89 


9 


5 


33 


25 


7 


7 


2 


2 


10 


10 


9 


6 


13.833 


12.163 


102 


79 


29 


26 


12 


8 


6 


3 


111 


91 


18 


13 


17 


13 


5 


4 


6 


6 


2 


~) 


38 


28 


4 


4 


9 


8 


25 


19 


25 


21 


23 


18 


6 


5 


15 


11 


6 


5 


52 


36 


74 


62 


33 


25 



250 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1988 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



ILLINOIS— Continued 

5ecatur 

)eerfield 

)e Kalb 

)e Soto 

)es Plaines 

)ixmoor 

)ixon 

Jolton 

>owners Grove 

3upo 

I Du Quoin 

^urand 

Dwight 

iarlville 

•ast Alton 

-^st Carondelet 

^st Dubuque 

last Dundee 

iast Hazel Crest 

•ast Molme 

•ast Peoria 

Sast Samt Louis 

idwardsville 

ifTingham 

^Ibum 

ildorado 

;lgm 

Elk Grove Village 

£lmhurst 

ilmwood Park 

£1 Paso ■. 

Energy 

Equality 

irie 

Eureka 

Evanston 

Evergreen Park 

Fairbury 

Fairfield 

Fairmont City 

Fairview 

Fairview Heights 

Farmer City 

Farmington 

Fisher 

Flora 

Flossmoor 

Ford Heights 

Forest Park 

Forest View 

Fox Lake 

Fox River Grove 

Frankfort 

Franklin Park 

Freeburg 

Freeport 

Fulton 

Galena 

Galesburg 

Galva 

Gardner 

Geneseo 

Geneva 

Genoa 

Gibson City 

Gifford 

Gillespie 

Gilman 

Girard 

Glen Carbon 

Glencoe 

Glendale Heights 

Glen EUyn 

Glenview 

Glenwood 



ILLINOIS— Continued 



170 
45 

55 

2 

115 

10 

24 

41 

82 

6 

12 



5 

II 

6 

38 

39 

84 

25 

29 

2 

10 

126 

98 

84 

40 

2 

2 

1 

I 

3 

198 

56 

5 

14 
9 
1 
42 
4 
7 
2 

13 
22 
7 
49 
II 
22 
8 

14 

56 

4 

50 

5 

9 

64 

4 

I 

13 

29 

8 

13 

1 

8 

3 

5 

13 
39 
57 
44 
73 
22 



134 

33 

45 

2 



98 


17 


9 


1 


21 


3 


34 


7 


59 


23 


5 


1 


8 


4 


-> 




7 


4 


■) 




10 


6 


-» 




5 




10 


1 


6 




29 


9 


28 


II 


73 


11 


18 


7 


22 


7 


-> 




6 


4 


102 


24 


84 


14 


62 


22 


34 


6 


■> 




■> 




1 




1 




3 




150 


48 


46 


10 


5 




10 


4 


7 
1 


2 


32 


10 


3 


1 


4 


3 


-> 




9 


4 


16 


6 


7 




35 


14 


8 


3 


16 


6 


S 




13 


1 


43 


13 


4 




46 


4 


4 


1 


8 


1 


48 


16 


4 




1 




8 


5 


19 


10 


4 


4 


7 
1 


6 


5 


3 


3 





Golf 

Grafton 

Granite City 

Grayslake 

Grayville 

Green Rock 

Greenup 

Greenville 

Gumee 

Hamilton 

Hampton 

Hampshire 

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 

Hutsonville 

Uliopolis 

Indian Head Park 

Island Lake 

Itasca 

Jacksonville 

Jerome 

Jerseyviile 

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 

Lake Villa 

Lakewood 

Lake Zurich 

Lanark 

Lansing 

La Salle 

Lebanon 

Leland Grove 

Lemont 

Leroy 

Lewistown 



1 
1 

59 


52 


14 




6 




3 




3 




13 




31 


21 


3 




4 




59 


34 


18 


12 


6 




17 


13 


01 


69 


21 


16 


7 




27 


22 


2 




3 




15 


12 


2 




30 


23 


18 


13 


70 


58 


12 


8 


6 


6 


38 


31 


2 


2 


34 


24 


13 


12 


97 


74 


6 


1 


46 


35 


17 


11 


7 


7 


2 


1 


13 


9 


11 


6 


36 


25 


40 


32 


5 


5 


17 


II 


5 


5 


98 


156 


3 


3 


20 


18 


68 


54 


14 


11 


19 


15 


3 


3 


2 


2 


3 


3 


3 


3 


37 


27 


26 


21 


13 


11 


50 


37 


12 


11 


7 


6 


3 


3 


29 


20 


57 


46 


20 


17 


g 


8 


4 


4 


15 


13 


3 


3 


3 


3 



251 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1988 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



ILLINOIS— Continued 



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 

Maryville 

Mascoutah 

Mason City 

Matteson 

Mattoon 

May wood 

McCook 

McHenry 

McLeansboro 

Melrose Park 

Mendota 

Meredosia 

Metamora 

Metropolis 

Midlothian 

Milan 

Milledgeville 

Millstadt 

Minier 

Minonk 

Minooka 

Mokena 

Moline 

Momence 

Monee 

Monmouth 

Monticello 

Morris 

Morrison 

Morton 

Morton Grove 

Mount Carmel 

Mount Carroll 

Mount Morris 

Mount Olive 

Mount Prospect . . 
Mount Pulaski 
Mount Sterling ... 
Mount Vernon 

Mount Zion 

Mundelein 

Murphysboro 

NaperviUe 

Nashville 

National City 

Nauvoo 

Neoga 

New .Athens 



ILLINOIS— Continued 



45 

26 

19 

34 

12 

35 

15 

22 

68 

27 

11 

23 

1 

30 

15 

3 

4 

1 

7 

12 

21 

31 

2 

3 

6 

11 

3 

6 

6 

3 

39 

43 

66 

18 

35 

9 

67 

14 

1 

3 

13 

27 

14 

1 

4 

1 

1 

5 

13 

87 

5 

5 

26 

9 

20 

6 

19 

60 

19 

2 

6 

4 

84 

3 

8 

35 

8 

38 

17 

146 

3 

5 

1 



35 

25 

14 

32 

11 

26 

13 

16 

56 

21 

10 

21 

1 

24 

U 

3 

4 

1 

7 

8 

16 

23 

2 

3 

5 

8 

3 

4 

6 

3 

30 

35 

54 

14 

25 

5 

62 

II 

1 

3 

12 

22 

10 

1 

4 
1 
1 
5 

12 

66 

5 

3 

18 

8 

15 

6 

14 

45 

13 

2 

4 

3 

64 

2 

4 
30 

7 
28 
13 
99 

3 

5 



New Baden 

New Lenox 

Newton 

Niles 

Nokomis 

Normal 

Norridge 

North Aurora 

Northbrook 

North Chicago 

Northfield 

Northlake 

North Pekin 

North Riverside 

Oak Brook 

Oakbrook Terrace 

Oak Forest 

Oak Lawn 

Oak Park 

Oakwood Hills 

O'Fallon 

Oglesby 

Okawville 

Old Shawneetown 

Olney 

Olympia Fields .. 

Oregon 

Orion 

Orland Hills 

Orland Park 

Ottawa 

Oswego 

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 

Pittsfield 

Plainfield 

Piano 

Pleasant Plains . . 

Polo 

Pontiac 

Pontoon Beach . . , 

Port Byron 

Posen 

Princeton 

Prophetstown 

Quincy 

Rantoul 

Red Bud 

Richmond 

Richton Park 

Ridgway 

Riverdale 

River Forest 

River Grove 

Riverside 

Robbins 



4 


4 


12 


12 


6 


5 


58 


45 


6 


3 


52 


44 


38 


31 


14 


13 


80 


59 


61 


42 


26 


20 


30 


25 


39 


29 


49 


37 


21 


17 


45 


34 


122 


99 


161 


117 


29 


21 


7 


7 


2 


-) 


2 


2 


16 


11 


18 


16 


5 


5 


2 


2 


8 


7 


77 


53 


31 


26 


12 


10 


83 

1 


58 

1 


1 
25 


1 
22 


28 


24 


9 


7 


13 


8 


18 


14 


g 


5 


44 


37 


66 


50 


6 


6 


2 


2 


51 


46 


270 


195 


14 


10 


7 


6 


24 


19 


3 


3 


9 


4 


5 


4 


6 


6 


14 


9 


1 I 


7 


4 


4 


21 


16 


14 


9 


3 


3 


9 


8 


11 


11 


3 


3 


87 


71 


27 


21 


4 


4 


3 


3 


20 


16 


3 


3 


30 


25 


39 


29 


TT 


16 


■>■> 


19 


11 


8 



252 



ible 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1988 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



ILLINOIS— Continued 



Dbinson 

jchelle 

jchester 

Kkdale 

)ck Falls 

jckford 

>ck Island 

Kkton 

)lling Meadows 

)meoville 

)Odhouse 

)Scoe 

jselle 

jsemont 

>und Lake 

>und Lake Beach 

>und Lake Heights 

)und Lake Park 

)xana 

)yalton 

jshville 

int Charles 

lem 

ndwich 

uget 

uk Village 

vanna 

haumburg 

hiller Park 

:neca 

■sser 

lawneetown 

lelbyville 

lorewood 

Ivis 

cokie 

eepy Hollow 

■nithton 

juth Harrington 

3uth Beloit 

}uth Chicago Heights 

3uth Elgin 

3Uth Holland 

Duth Jacksonville ... 

Duth Roxana 

parta 

pringfield 

pring Valley 

taunton 

teger 

terling 

tickney 

tockton 

tone Park 

treamwood 

treator 

ugar Grove 

ullivan 

ummit 

wansea 

ycamore 

"ampico 

'aylorville 

'homasboro 

'homion 

'inley Park 

"olono 

"ower Lakes 

"remont 

Trenton 

Troy 

Tuscola 

Jrbana 

Jniversity Park 

/andalia 



ILLINOIS— Continued 



II 

26 

5 

4 

22 

317 

108 

5 

68 

37 

4 

7 

42 

82 

II 

27 

1 

5 

6 

2 

5 

43 

17 

16 

7 

22 

9 

148 

36 

3 

4 

4 

7 

10 

17 

139 

3 

2 

6 

II 

15 

15 

39 

5 

3 

12 

269 

10 

8 

10 

38 

16 

3 

17 

56 

25 

3 

9 

31 

12 

16 

1 

20 

2 

9 

47 

2 

1 

I 

3 

12 
8 
51 
17 
18 



10 

19 

5 

4 

15 

236 

78 

5 

49 

28 

4 

6 

30 

67 

7 

19 

1 

5 

5 

2 

5 

37 

12 

10 

7 

16 

9 

109 

29 

3 

4 

4 

6 

9 

II 

106 

3 

2 

6 

7 

10 

11 

30 

4 

3 

9 

200 

6 

5 

7 

26 

13 

3 

13 

38 

20 

3 

8 

23 

9 

14 

1 

15 

2 

8 

39 

2 

1 

I 

3 

8 

7 

42 

II 

12 



Venice 

Vernon Hills 

Vienna 

Villa Grove 

Villa Park 

Virden 

Wamac 

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 

Witt 

Wood Dale 

WoodhuU 

Woodridge 

Wood River 

Woodstock 

Worth 

Yorkville 

Zeigler 

Zion 



INDIANA 



Alexandria 

Anderson 

Angola 

Auburn 

Aurora 

Batesville 

Bedford 

Beech Grove 

Berne 

Bloomington ... 

Bluffton 

Boonville 

Brazil 

Bremen 

Brownsburg 

Bums Harbor 
Cambridge City 

Carmel 

Cedar Lake . . . , 
Charlestown 
Chesterfield . . . , 

Chesterton 

Clarksville 

Columbus 

Connersville . . . 
Crawfordsville 
Crown Point 



13 
31 
2 
5 
48 
6 
2 
3 
I 

17 

14 

16 

6 

16 

20 

157 

3 

38 

30 

9 

13 

25 

16 

51 

69 

64 

II 

22 

13 

59 

14 

II 

I 

35 

13 

I 

41 

I 

51 

26 

34 

22 

9 

3 

55 



14 
153 
14 
20 
10 
10 
35 
30 

4 
78 
18 
10 
13 
13 
18 

9 

5 
53 
17 
II 

6 
18 
32 
68 
35 
34 
29 



II 

22 

2 

5 

35 

3 

2 

3 

1 

14 

11 

12 

6 

11 

14 

112 

3 

34 

22 

5 

12 
19 
12 
39 
52 
47 
5 

18 

13 

43 

8 

10 

1 

25 

9 

I 

27 

1 

37 

18 

25 

22 

9 

3 

38 



10 

131 

10 

16 

6 

6 

30 

23 

4 

57 

16 

10 



253 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1988 — Continued 



City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


INDIANA— Continued 

Decatur 


19 

21 

104 

14 

116 

20 

266 

8 
347 

4 
38 
28 
13 
247 
13 

3 
39 
26 
48 
34 
223 
15 
42 
39 

8 

35 

1,370 

4 

20 

48 

19 

132 

2 
93 
41 
37 
21 

8 
12 
38 

5 

5 

16 
66 
21 
46 
90 
83 
14 
17 
139 
35 
13 
73 
40 
13 

9 
31 
13 
15 

7 
24 
43 
14 

3 
11 
99 
16 
30 
11 
15 
28 
279 
33 
137 


15 
15 
90 

9 

97 

16 

236 

4 
313 

4 
27 
22 

9 
220 

9 

3 
35 
21 
35 
25 
186 
11 
36 
30 

8 

29 

1.012 

4 
14 
40 
14 
98 

2 

75 
36 

34 

17 

7 

8 

33 

5 

11 

62 
16 
38 
82 
73 

9 

13 

114 

27 

9 
58 
37 

9 

5 
24 
10 
11 

4 
19 
33 
10 

3 

7 
77 
12 
25 

7 

1 1 

22 

225 

25 

121 


4 

6 
14 

s 
19 

4 
30 

4 
34 


INDIANA— Continued 

Trail Creek 


4 
11 
48 
25 
34 
39 

3 
14 

4 

5 

10 

14 

10 

62 

6 

28 

14 

4 

4 

4 

41 

6 

15 

48 

6 

4 

20 

7 

55 

195 

16 

8 

15 

11 

14 

6 

17 

47 

14 

22 

108 

7 

13 

175 

17 

16 

454 

6 

81 

8 

7 

5 

5 

7 

11 

6 

16 

8 

46 

27 

5 

7 

13 

4 

12 

9 

4 

5 

11 

13 

14 

63 


4 

7 
35 
25 
27 
32 

3 
10 

4 

5 

7 

9 

9 

48 

5 

22 

13 

4 

4 

4 

30 

6 

14 

36 

6 

4 

13 

6 

44 

153 

11 

7 

12 

10 

9 

6 

12 

43 

10 

20 

92 

7 

9 

140 

13 

11 

332 

6 

76 

5 

7 

5 

5 

7 

11 

5 

11 

7 

43 

22 

5 

7 

12 

4 

7 

8 

4 

5 

7 

10 
12 
53 




Dyer 






East Chicago 


Valparaiso 


1' 


Edinburgh 


Wabash 




Elkhart 




. 


Elwood 


West Lafayette 




Evansville 


Westville 




Fairmount 






Fort Wayne 






Fowler 


IOWA 

Adel 






11 
6 
4 

27 
4 




Franklin 




Garrett 




Gary 


Albia 




Gas Citv 




4 


Georgetown 


Altoona 


] 


Goshen 


4 
5 

13 
9 

37 
4 
6 
9 


Ames 


]i 


Greenfield 






Greenwood 




( 


Griffith 






Hammond 






Hartford City 


Belle Plaine 




Highland 






Hobart 






Huntingburg 






Huntington 


6 

358 




] 


Indianapolis 




1' 


Jasonville 






Jasper 


6 

8 

5 
34 


Carlisle 




Jeffersonville 


Carroll 




Kendallville 






Kokomo 




1 ] 


Kouts 




4; 


Lafayette 


18 

5 
3 
4 

1 

4 
5 

1 
5 
4 
5 
8 
8 

10 
5 
4 

25 
8 
4 

15 
3 
4 
4 
7 
3 
4 
3 
5 

10 
4 

4 

22 

4 

5 

4 

4 

6 

54 

8 

16 






La Porte 




1 


Lawrence 


Charles City 




Lebanon 






Ligonier 






Linton 






Logansport 




5 


Long Beach 






Loogootee 


Clive 


4 


Lowell 




^ 


Marion 




16 


Martinsville 


Cresco 




Merrillville 




4 


Michigan City 




35 


Mishawaka 




4 


Monlicello 




5 


Mooresville 




p-» 


Muncie 


De Wilt 




Munster 




5 


Nappanee 




3 


New Albany 






New Castle 


Eldora 




New Haven 






New Whiteland 






Noblesville 






North Manchester 




1 


North Vernon 




5 


Petersburg 




1 


Plainfield 




3 


Portage 




5 


Portland 






Princes Lakes 






Rensselaer 




1 


Richmond 






Rushville 




5 


Schererville 




I 


Scottsburg 






Sellersburg 






Sevmour 




4 


South Bend 




3 


Speedway 




2 


Terre Haute 


Iowa City 


10 



254 



able 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1988 — Continued 



Cily 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



IOWA— Continued 



*a Falls ... 

Terson 

tinston 

■okuk 

loxville 

Claire 

Mars 

inchester . . 

iquoketa 

irion 

irshalltown 
ison City ... 
ssouri Valley 

jnlicello 

mnt Pleasant 
)unt Vernon 

iscatine 

vada 

w Hampton 

wton 

rwalk 

Iwein 

awa 

mge City .. 

ige 

^eola 

caloosa 

umwa 

la 

ly 

asant Hill 
i Oak 
-k Rapids 
k Valley 
City 
geant Bluff 

:ldon 

mandoah 

ux Center 

ux City 

:ncer 

ril Lake 

rm Lake 

ry City 

na 

iton 

7andale 

iton 

shington 

terloo 

ukee 

ukon 

verly 

bster City ... 
St Burlington 
st Des Moines 
St Union . . . . 
idsor Heights 
iterset 




KANSAS 



lene 

iaie 

lo\er 

hony 

onia 

ansas City 

hison 

;usta 

dwin City . 
ler Springs 
e Plaine 

>it 

iner Springs 



14 

7 

8 

34 

15 

7 

12 

12 

12 

32 

53 

54 

4 

8 

13 

4 

40 

7 

6 

30 

6 

11 

5 

4 

6 

7 

20 

39 

13 

15 

6 

14 

3 

3 

5 

4 

10 

12 

5 

132 

25 

7 

13 

4 

4 

4 

35 

7 

8 

140 

4 

6 

13 

18 

6 

47 

5 

10 



10 
7 
7 

26 

11 
5 

12 
8 
9 

27 

35 

42 
4 
5 

12 
4 

33 
7 
6 

25 
5 

10 
5 
4 
6 
6 

15 

32 

10 

11 
6 

10 
3 
3 
5 
4 
6 
9 
5 
108 

lg 
6 

12 
4 
4 
4 

28 
7 
8 
117 
4 
6 

12 

13 
6 

37 
5 
9 
6 



23 



KANSAS— Continued 

Burlington 

Bushton 

Caldwell 

Caney 

Canton 

Carbondale 

Cawker City 

Cedar Vale 

Chanute 

Chapman 

Cheney 

Cherry vale 

Chetopa 

Cimarron 

Clearwater 

Clyde 

Coffeyville 

Colby 

Columbus 

Concordia 

Conway Springs 

Council Grove 

Derby 

Dodge City 

Douglas 

Edgerion 

Edwardsville 

El Dorado 

Elkhart 

Ellinwood 

Ellis 

Ellsworth 

Elwood 

Emporia 

Enterprise 

Erie 

Eudora 

Eureka 

Fai rway 

Fori Scott 

Frankfort 

Fredonia 

Frontenac 

Galena 

Garden City 

Gardner 

Gamett 

G i rard 

Goddard 

Goodland 

Grandview Plaza 

Great Bend 

Halstead 

Hays 

Haysville 

Herington 

Hesston 

Hiawatha 

Highland 

Hill City 

Hillsboro 

Hoisinglon 

Holcomb 

Holton 

Hope 

Horton 

Hoxie 

Hugoton 

Humboldt 

Hutchinson 

Independence 

lola 

Junction City 

Kingman 

Kinslev 



255 



Table 72.— Number of Full-time Law Enforcement Employees, Cities, October 31, 1988— Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
ofTicers 



KANSAS— Continued 



Kiowa 

Lacrosse . 

Lake Quivira 

Lansing 

Lawrence 

Leavenworth 

Leawood 

Lebo 

Lenexa 

Le Roy 

Liberal 

Lyons 

Maize 

Marion 

Marquette 

Marysville 

McPherson 

Meade 

Medicine Lodge 

Merriam 

Minneapolis 

Mission 

Mission Woods .. 
Mound Valley . . . 

Mulvane 

Neodesha 

Ness City 

Newton 

North Newton . . . 

Norton 

Nortonville 

Oakley 

Oberlin 

Olathe 

Osage City 

Osawatomie 

Oswego 

Ottawa 

Overbrook 

Oxford 

Paola 

Park City 

Parker 

Parsons 

Peabody 

Perry 

Phillipsburg 

Pittsburg 

Pomona 

Prairie Village ... 

Pratt 

Quinter 

Roeland Park .... 

Rose Hill 

Russell 

Sabetha 

Saint Marys 

Satanta 

Sedan 

Seneca 

Shawnee 

Silver Lake 

South Hutchinson 

Spring Hill 

Stafford 

Sterling 

Stockton 

Tonganoxie 

Towanda 

Udall 

Ulysses 

Valley Center .... 

Wa Keeney 

Wakefield 

Wamego 



2 
3 
2 
8 
102 

58 

42 
I 

82 
I 

37 
7 
3 
3 
1 
6 

24 
3 
4 

28 
5 

17 
8 
1 

12 
7 
3 

20 
I 
5 
1 
9 
3 

90 
5 

14 
5 

33 
I 
I 

14 
6 
I 

30 
2 
1 
5 

43 
I 

48 

18 
1 

8 
4 

II 
5 
5 
I 
4 
4 

66 
I 
7 
4 
4 
6 
4 
4 
I 
1 
5 

14 
5 
I 

10 



33 



13 



KANSAS— Continued 



Waverly 

Wellington 

Weslwood 

Westwood Hills 

Wichita 

Winfield 

Yates Center 



KENTUCKY 



Adairville 

Albany 

Alexandria 

Anchorage 

Ashland 

Auburn 

Audubon Park 

Augusta 

Barbourville .. 

Bardstown 

BeattyviUe 

Beaver Dam .. 

Bellevue 

Benton 

Berea 

Bloomfield 

Bowling Green 
Brandenburg .., 

Brodhead 

Brooksville 

Brownsville 

Burgin 

Burkesville 

Burnside 

Cadiz 

Calhoun 

Calvert City ... 
Campbellsburg . 
CampbellsviUe 

Carlisle 

Carrollton 

Catlettsburg . . . . 

Cave City 

Central City ... 

Clarkson 

Clay City 

Clinton 

Cloverport 

Cold Spring 

Columbia 

Corbin 

Covington 

Crab Orchard 

Crofton 

Cumberland 

Cynthiana 

Danville 

Dawson Springs 

Dayton 

Dixie 

Dry Ridge 

Earlington 

Edgewood 

Edmonton 

Elizabethtown 

Elkton 

Elsmere 

Eminence 

Erlanger 

Evarts 

Falmouth 

Flatwoods 

Fleming-Neon 
Flemingsburg . . 
Florence 



560 
24 

4 



256 



able 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1988 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



Citv 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



KENTUCKY— Continued 



KENTUCKY— Continued 



>rt Mitchell 

Ill Thomas 

pri Wright 

ankfort 

anklin 

ilton 

imaliel 

rorgetown 

asgow 

ayson 

eensburg 

eenup 

eenville 

ithrie 

irdinsburg 

irlan 

irrodsburg 

iftford 

wesville 

zard 

nderson 

ckman 

ghland Heights 

llview 

ndman 

'dgenville 

ipkinsvilie 

Tse Cave 

stonville 

lependence 

lian Hills 

ine 

ington 

kson 

nestown 

Tersontown 

ikins 

iction City 

Center 

Grange 

keside Park 

ncaster 

wrenceburg 

t)anon 

oanon Junction 

itchfield 

wisburg 

wisport 

nington 

)erty 

/ermore 

ndon 

uisa 

uisville 

yall 

dlow 

disonville 

tnchester 

irion 

irtm 

lysfield 

lysv'lle 

ddlesboro 

llersburg 

>niicello 

)rehead 

)rganfield 

)rgantown 

lunt Sterling . . . 
junt Vernon 
lunt Washington 

ildraugh 

infordville 

irray 

w Castle 



11 

22 

8 

57 

15 

13 

2 

34 

27 

5 

8 

2 

7 

4 

3 

13 

18 

4 

1 

26 

51 

9 

4 

1 

1 

7 

43 

4 

1 

9 

3 

II 

2 

10 

5 

45 

4 

3 

1 

7 

5 

6 

15 

17 

1 

14 

1 

1 

475 

7 

1 

15 

4 

832 

2 

II 

39 

10 

4 

4 

30 

22 

22 

I 

9 

21 

14 

4 

22 

5 

5 

1 

2 

29 

I 



11 
21 

7 

48 

I! 

9 

2 

25 

20 

5 

5 

2 

7 

4 

3 

9 

13 

4 

1 

26 

45 

5 

4 

1 

1 

7 

38 

4 

1 

9 

3 

8 

2 

9 

5 

37 

4 

3 

1 

6 

5 

6 

10 

12 

1 

10 

I 

I 

354 

5 

1 

15 

4 

641 

1 

7 

30 

6 

4 

4 

25 

17 

18 

I 

7 

16 
8 
4 
16 
5 
5 
1 
2 
23 
I 



121 

2 



191 
1 

4 
9 
4 



New Haven 

Newport 

Nicholasville 

North Middletown 

Nortonville 

Oak Grove 

Olive Hill 

Owensboro 

Owenton 

Owingsville 

Paducah 

Paintsville 

Paris 

Park City 

Park Hills 

Perryville 

Pewee Valley 

Pikeville 

Pioneer Village ... 

Pineville 

Preslonsburg 

Princeton 

Prospect 

Providence 

Raceland 

Radcliff 

Ravenna 

Richmond 

Russell 

Russell Springs ... 

Russellville 

Saint Matthews ... 

Saint Regis 

SalyersviUe 

Scottsville 

Sebree 

Shelby ville 

Shepherdsville 

Shively 

Somerset 

Southgate 

Springfield 

Stanford 

Stanton 

Sturgis 

Taylor Mill 

Taylorsville 

Tompkinsville ... 

Uniontown 

Vanceburg 

Versailles 

Villa Hills 

Vine Grove 

Walton 

Warsaw 

West Buechel 

West Liberty 

West Point 

Wheelwright 

Whitesburg 

Wilder 

Williamsburg 

Williamstown 

Wilmore 

Winchester 

Wingo 

Worthington 



LOUISIANA 



Alexandria 

Baldwin 

Ball 

Baskin 

Baton Rouge 



I 

51 

32 

1 

I 

6 

g 

121 

2 

4 

73 

II 

20 

1 

5 

1 

3 

18 
2 
7 

16 

14 

5 

9 

3 

36 

2 

46 

II 

4 

26 

26 

20 

3 

17 

1 

17 

6 

23 

28 

4 

6 

10 

5 

5 

4 

2 

9 

2 

3 

21 

6 

6 

3 

2 

5 

9 

3 

1 

9 

4 

8 

6 

3 

34 

2 

3 



135 
5 
6 
1 

860 



1 

43 

26 

1 

1 

5 

5 

94 

2 

3 

70 

11 

16 

1 

4 

1 

3 

13 

2 

5 

i: 

10 
5 
8 
3 

28 
2 

38 

11 
4 

20 

23 

15 
3 

12 
1 

14 
6 

17 

23 
4 
5 
6 
5 
5 
4 
2 
6 
2 
3 

17 
6 
5 
3 
1 
5 
5 
2 
1 
6 
4 
8 
2 
3 

27 
1 
2 



120 
5 
4 
I 

736 



257 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1988 — Continued 



City 



Total 

police 

employees 



Total 
ofTicers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



LOUISIANA— Continued 



Berwick 

Bogalusa 

Bossier City 

Church Point . . . 

Collinston 

Crowley 

Denham Springs 

De Quincy 

Farmerville 

Franklinton 

Gonzales 

Gretna 

Harahan 

Haynesville 

Houma 

Jeanerette 

Jena 

Jennings 

Jonesboro 

Kaplan 

Kentwood 

Kinder 

Lafayette 

Lake Charles 

Leesville 

Lockpon 

Loreauville 

Mamou 

Mandeville 

Monroe 

Morgan City 

Natchitoches 

New Iberia 

New Orleans 

Opelousas 

Patterson 

Pineville 

Plaquemine 

Ponchatoula 

Ruston 

Saint Martinvilie 

Shreveport 

Simmesport 

Springhill 

Sulphur 

Tallulah 

Vidalia 

Ville Platte 

Vinton 

Vivian 

Waterproof 

Welsh 

Westlake 

West Monroe . . . 

Westwego 

Winnfield 

Zachary 



MAINE 



Ashland 

Auburn 

Augusta 

Baileyville 

Bangor 

Bar Harbor 

Bath 

Belfast 

Berwick 

Bethel 

Biddeford 

Boothbay Harbor 

Brewer 

Bridgton 

Brunswick 



9 

44 

127 

13 

1 
32 
19 

9 
II 
13 
27 
79 
21 

7 
63 
16 

5 
22 
11 
16 
10 

6 

206 

123 

28 

4 

1 
12 
29 
178 
46 
41 
72 
1,636 
35 

9 
36 
27 
12 
36 
21 
428 

4 
II 
33 
15 
15 
27 
12 
13 

I 

7 
13 
55 
17 
24 
24 



9 

35 

113 

13 

1 
31 
18 

9 
10 
13 
27 
72 
21 

7 
44 
16 

5 
22 
II 
15 
10 

6 
153 
120 
27 

4 

I 



125 

41 

41 

56 

1,360 

35 

9 

35 

27 

12 

30 

16 

386 

4 

II 

23 

15 

15 

24 

12 

9 

1 

7 

13 
52 
17 
19 



16 

276 



10 



MAINE— Continued 



Bucksport 

Buxton 

Calais 

Camden 

Cape Elizabeth ... 

Caribou 

Carrabassett Valley 

Cumberland 

Damariscotta 

Dexter 

Dixfield 

Dover-Foxcroft ... 
East Millinocket .. 

Eastpon 

Eliot 

Ellsworth 

Fairfield 

Falmouth 

Farmington 

Fort Fairfield 

Fort Rent 

Freeport 



Fryeburg 

Gardiner 

Gorham 

Hallowell 

Hampden 

Houlton 

Jay 

Kennebunk 

Kennebunkport ... 

Kittery 

Lebanon 

Lewiston 

Limestone 

Lincoln 

Lisbon 

Livermore Falls .. 

Machias 

Madawaska 

Madison 

Mechanic Falls 

Medway 

Mexico 

Millinocket 

Milo 

Monmouth 

Mount Desert 

Newport 

North Berwick 

Norway 

Oakland 

Ogunquil 

Old Orchard Beach 

Old Town 

Orono 

Oxford 

Pans 

Pittsfield 

Portland 

Presque Isle 

Princeton 

Richmond 

Rockland 

Rockport 

Rumford 

Sabattus 

Saco 

Sanford 

Scarborough 

Skowhegan 

South Berwick 

South Portland 

Southwest Harbor . 
Standish 



17 
9 
4 
8 

16 

4 

10 

20 

5 

9 

17 

10 

20 

13 

23 

8 

82 

4 

7 

18 
10 
4 
6 
5 
3 
-) 

4 

15 

3 

3 

8 

3 

7 

5 

7 

12 

15 

17 

15 

1 

5 

9 

204 

24 

2 

4 

23 

4 

15 

s 

29 

45 

29 

14 

10 

59 

4 

3 



258 



ible 72. — Number of Full-time Law EnforcemenC Employees, Cities, October 31, 1988 — Continued 



Cily 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



Citv 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



MAINE— Continued 

omaston 

pshaw 

n Buren 

ildoboro 

ishbum 

iterville 

:11s 

:stbrook 

Iton 

ndham 

nslow 

nthrop 

scasset 

rmouth 

rk 

MARYLAND 

jrdeen 

lapolis 

timore 

timore City Sheriff 

Air 

lin 

wyn Heights 

densburg 

nswick 

nbridge 

)itol Heights 

ilreville 

rstertown , 

overly 

tage Cily 

ifield 

nberland 

mar 

Uon 

trict Heights 

ton 

nonston 

ion 

rmount Heights 

eralsburg 

est Heights 

derick 

stburg 

itland 

narden 

dsboro 

enbelt 

ensboro 

ierstown 

Tipstead 

icock 

/re de Grace 

■lock 

ittsville 

dover Hills 

Plata 

rei 

aconing 

e 

ichester 

mingside 

ant Rainier 

V Windsor 

ih Beach 

1h East 

land 

an City 

an Pines 

ord 

omoke City 

t Deposit 

4ton 



39 

136 

3,546 

141 

38 

7 

10 

19 

9 

42 



9 
3 
9 

53 
7 
7 
5 

41 
4 

26 
1 
7 
6 

84 

18 
7 
5 
2 

55 

2 

104 

3 

4 

26 
5 

30 
3 
3 

52 
2 
2 
2 
3 

15 
1 
6 
5 
5 

95 

15 
3 

15 
3 
2 



32 

101 

!,993 

123 

29 
6 
8 

14 
7 

31 
7 
5 
7 
8 
3 
8 

49 
6 
7 
4 

28 
4 

21 
1 
7 
5 

70 

13 
6 
4 
2 

42 
2 

81 
3 
3 

20 
5 

22 
3 
3 

39 
2 
2 
2 
3 

II 
1 
6 
4 
4 

75 

II 
3 

11 
3 
2 



7 

35 

553 

18 

9 

1 

2 

5 

2 

11 

1 



13 



M ARVXAN D— Continued 

Princess Anne 

Ridgely 

Rising Sun 

Ri verdale 

Rock Hall 

Saint Michaels 

Salisbury 

Smithsburg 

Snow Hill 

Sparrows Point 

Sykesville 

Takoma Park 

Taneytown 

Thurmont 

University Park 

Upper Marlboro 

Weslemport 

Westminster 

MASSACHUSETTS 

Acton 

Acushnet 

Adams 

Agawam 

Amesbury 

Amherst 

Andover 

Arlington 

Ashbumham 

Ashby 

Athol 

Attleboro 

Auburn 

Avon 

Bedford 

Belchertown 

Bellingham 

Berlin 

Bemardston 

Beverly 

Blackstone 

Bolton 

Boston 

Bourne 

Boxboro 

Boxford 

Braintree 

Brewster 

Bndgewater 

Brockton 

Cambridge 

Canton 

Chatham 

Chelmsford 

Chicopee 

Clinton 

Cohasset 

Dalton 

Dan vers 

Dartmouth 

Dedham 

Deersfield 

Dennis 

Dighton 

Douglas 

Dover 

Dracut 

Dudley 

Duxbury 

Eastham 

Easthampton 

East Longmeadow 

Easton 

Edgartown 



30 
16 
23 
55 
30 
38 
64 
78 

5 

3 
27 
71 
27 
15 
24 
16 
31 

5 

2 
87 
16 

9 

2,618 

39 

5 

12 
90 
20 
31 
222 
292 
37 
24 
62 
121 
27 
18 
II 
53 
60 
63 

6 
43 
II 
II 
16 
38 
17 
27 
21 
26 
26 
34 
13 



29 
14 
22 
48 
29 
32 
50 
73 

5 

3 
22 
64 
21 
12 
23 
12 
26 

4 

2 
84 
13 

5 

1.927 

31 

5 
II 
77 
17 
30 
198 
265 
35 
23 
56 
118 
26 
18 
II 
43 
51 
60 

5 
34 
II 

8 
15 
36 
13 
27 
15 
25 
24 
33 
12 



259 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1988 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



Citv 



Total 

police 

employees 



Total 
officers 



MASSACHUSETTS— Continued 



MASSACHUSETTS— Continued 



Everett 

Fall River 

Fitchburg 

Framingham 

Franklin 

Freetown 

Gardner 

Gay Head 

Georgetown 

Gloucester 

Grafton 

Granby 

Hadley 

Hamilton 

Hampden 

Hanson 

Hardwick 

Harvard 

Harwich 

Haverhill 

Hingham 

Holden 

Holliston 

Hopedale 

Hopkinton 

Hudson 

Hull 

Ipswich 

Lancaster 

Lawrence 

Lee 

Leicester 

Leominster 

Lexington 

Lincoln 

Littleton 

Longmeadow 

Ludlow 

Lynn 

Lynnfield 

Maiden 

Manchester 

Mansfield 

Marblehead 

Marion 

Marshfield 

Mashpee 

Mattapoisett 

Maynard 

Medfield 

Medford 

Medway 

Melrose 

Mendon 

Merrimac 

Methuen 

Middleboro 

Milford 

Millbury 

Nantucket 

Needham 

New Bedford . . . 
Newburyport 

Newton 

Norfolk 

Northampton . . . 
North Andover . 

Northboro 

Northbridge 

North Brookfield 
North Reading 

Norton 

Norwood 

Orange 

Orleans 



272 
79 
127 
37 
19 
35 

4 
13 
71 
19 
10 

5 

15 
14 
18 

2 

11 
32 
98 
55 
16 
21 
12 
18 
37 
31 
24 
9 

162 
10 
16 
70 
57 
16 
17 
31 
32 

183 
25 

119 
16 
27 
45 
12 
49 
24 
16 
24 
20 

131 
19 
60 
7 
9 
77 
51 
47 
24 
27 
62 

288 
37 

224 
24 
61 
38 
25 
20 
6 
24 
27 
70 
16 
25 



236 
71 

113 

31 

14 

34 

4 



5 
65 
39 
45 
19 
22 
54 

242 
35 

204 
14 
54 
36 
19 
19 
5 
23 
24 
60 
12 



9 


4 


65 


6 


18 


I 


8 


2 


3 


2 


14 


I 


10 


4 


16 


2 


-> 




7 


4 


26 


6 


90 


8 


49 


6 


15 


1 


"■l 




11 


I 


13 


5 


33 


4 


26 


5 


23 


I 


8 


I 


136 


26 


in 




13 


3 


64 


6 


53 


4 


12 


4 


13 


4 


30 


1 


31 


1 


166 


17 


19 


6 


108 


1 1 


14 


2 


22 


5 


43 


2 


9 


3 


44 


5 


19 


5 


16 




22 


2 


17 


3 


123 


8 


16 


3 


58 


2 


7 





Oxford 

Peabody 

Pembroke 

Pepperell 

Pittsfield 

Provincetown . . . 

Quincy 

Raynham 

Reading 

Rehoboth 

Rockport 

Rowley 

Rutland 

Salem 

Sandwich 

Scituate 

Seekonk 

Sharon 

Shelburne 

Sherbom 

Shirley 

Shrewsbury 

Somerset 

Somerville 

Southboro 

Southbridge 

South Hadley . . . 

Southwick 

Spencer 

Springfield 

Sterling 

Slockbndge 

Sloneham 

Stoughton 

Stow 

Sturbridge 

Sudbury 

Sunderland 

Sutton 

Swampscott 

Swansea 

Taunton 

Templeton 

Tisbury 

Uxbridge 

Wakefield 

Walpole 

Waltham 

Ware 

Wareham 

Watertown 

Wayland 

Webster 

Wellesley 

Wenham 

Westboro 

West Boylston . . . 
West Bridgewater 

Wcstford 

Westminster 

Weston 

Westport 

Westwood 

Weymouth 

Wilbraham 

Wilmington 

Winchendon 

Winthrop 

Wobum 

Worcester 

Worthington 

Yarmouth 



21 
91 
29 
14 
93 
20 
242 
20 
42 
22 
17 
12 
1 
96 
28 
39 
37 
29 
2 

15 
10 
43 
35 

160 
15 
33 
27 
15 
15 

588 
14 
6 
45 
58 
17 
15 
35 
4 
13 
35 
34 

107 
8 

13 
15 
52 
39 

115 
18 
51 
88 
30 
29 
54 
10 
30 
15 
18 
43 
8 
27 
28 
32 

III 
24 
46 
12 
39 
80 

484 

6 

54 



260 



*ble 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1988 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



MICHIGAN 

rian 

Dee Township 

5ion 

jonac 

egan 

en Park 

Tia 

nont 

)ena 

n Arbor 

5ela Township 

■nada 

as Township 

bum 

burn Hills 

gusta 

1 Axe 

Igor 

aga 

ry Township 

h Township 

tie Creek 

■ City 

verton 

Iford Township 

ding 

(aire 

leville 

[ .ona Township 

■ton Harbor 

>ton Township 

I kley 

1 rien Springs-Oronoko Township 

I erly Hills 

I Rapids 

; .-h Run 

I ningham 

I :kman Township 

I sfield 

lomfield Hills 

^ omfield Township 

omingdale 

■ne City 

ckenridge 

Igepon Township 

Igman 

ihton 

3nson 
wnstown Township 

hanan 

na Vista Charter Township ... 

r Oak 

ton 

lillac 

jmet 

nbridge Township 

ton Township 

■ac 

leton 



ronton Township 

son City 

sville 

eville Township 

i City 

sopolis 

ar Springs 

ter Line 

treville 

rleston Township 

rievoix 

6 rlotte 

C boygan 

Clsea 

C saning 

I 



36 
1 

39 
7 
9 

58 

17 
3 

20 

197 

1 

4 
2 
2 

40 
2 
7 
4 
2 
2 
7 
126 

81 
2 
9 

10 
1 
9 
1 

23 

30 

34 
9 

31 

16 
1 

56 

21 
5 

27 

89 
1 

10 
3 
7 
4 

10 
4 

27 
9 

20 
1 

35 

18 
2 
1 

55 
3 
3 
7 
5 
3 
2 
1 
3 
6 
5 

30 
1 
! 
7 

19 

11 
9 
4 



31 

1 

33 

6 

8 

51 

13 

3 

16 

164 

1 

4 

2 

1 

30 

2 

6 

4 

2 

2 

6 

102 

74 

2 

8 

9 

1 

8 

1 

17 

22 

31 

8 

27 

15 

1 

38 

20 

4 

23 

73 

1 

6 

3 

6 

4 

9 

4 

22 

9 

16 

1 

31 

14 

2 

1 

43 

2 

3 

6 

4 

2 

2 

1 

3 

5 

4 

25 

1 

1 

6 

19 

11 

6 

4 



MICHIGAN— Continued 

Chesaning Township 

Chesterfield Township 

Chikaming Township 

Chocolay Township 

Clare 

Clawson 

Clay Township 

Clinton 

Clio-Vienna 

Coldwater 

Coleman 

Coloma 

Coloma Township 

Columbia Township 

Concord 

Constantine 

Coopersville 

Corunna 

Covert Township 

Croswell 

Ci^stal Falls 

Davison 

Davison Towship 

Dearborn 

Dearborn Heights 

Decatur 

Deckerville 

Denmark Township 

De Tour 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 

Elsie 

Emmett Township 

Erie Township 

Escanaba 

Essexville 

Evart 

Fairgrove 

Fairhaven Township 

Farmington 

Farmington Hills 

Fenton 

Femdale 

Ferrysburg 

Flat Rock 

Flint 

Flint Township 

Flushing 

Flushing Township 

Forsyth Township 

Frankenmuth 

Frankfort 

Franklin 

Eraser 

Fremont 

Frost Township 

Galesburg 

Galien 

Garden City 

Gaylord 



5 

11 
1 
3 
8 

23 

15 
3 
9 

17 
2 
4 
6 
4 
2 
4 
4 
5 
3 
5 
5 
9 

10 

237 

120 

6 

7 

1 

I 

4,263 

6 

10 
3 

16 
2 
4 

56 

32 
5 

76 
5 
9 
1 

32 
3 
2 
2 
9 
2 

38 

12 
3 
1 
1 

30 
143 

16 

58 
4 

20 
339 

30 

11 
5 
7 
5 
4 

10 

51 
6 
2 
1 
1 

54 



5 

10 
1 
3 
6 
21 
11 
3 
8 

14 
2 
3 
5 
4 
2 
4 
4 
5 
3 
5 
5 
7 
8 
195 
87 
5 
7 
1 
1 
3,572 
5 
9 
3 

12 

2 

4 

49 

28 

4 

53 

4 

8 

1 

30 

3 

2 

2 

8 

2 

31 

9 

3 

1 

1 

23 

91 

12 

50 

4 

19 

287 

26 

10 

5 

7 

5 

4 

9 

40 

5 

2 

1 

1 

40 

7 



261 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1988 — Continued 



City 



MICHIGAN— Continued 



Genesee Township 

Gerrish Township 

Gibraltar 

Gladstone 

Gladwin 

Gobies 

Grand Beach 

Grand Blanc 

Grand Blanc Township 

Grand Haven 

Grand Ledge 

Grand Rapids 

GrandviUe 

Grant 

Grayling 

Green Oak Township 

Greenville 

Grosse He 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 

Henrietta Township . . . 

Hespena 

Highland Park 

Hillsdale 

Holland 

Holly 

Homer 

Hopkins 

Houghton 

Howard City 

Howard Township 

Howell 

Hudson 

Hudsonville 

Huntington Woods 

Huron Township 

Imlay City 

Ionia 

Iron Mountain 

Iron River 

Ironwood 

Ishpeming 

Ishpeming Township .. 

Ithaca 

Jackson 

Jonesville 

Kalamazoo 

Kalamazoo Township . 

Kalkaska 

Keego Harbor 

Kentwood 

Kinde 

Kingsford 

Kingston 

Laingsburg 

Lake Angelus 

Lake Linden 

Lake Odessa 

Lake Orion 

Lakeview 

L'Anse 



Total 

police 

employees 



14 
2 

14 

12 

3 

1 

2 

20 

34 

30 

14 

348 

23 

1 

6 

9 

24 

21 

30 

31 

50 

20 

45 

11 

10 

52 

6 

4 

6 

42 

2 

6 

17 

39 

1 

2 

138 

20 

61 

13 

3 

1 

8 

1 

1 

14 

3 

5 

21 

II 

9 

25 

II 

5 

16 

13 

1 

5 

91 

4 

303 

40 

5 

6 

42 

1 

17 

1 

1 

3 

1 

4 

7 

2 

4 



Total 
ofTicers 



13 
2 

13 

12 

3 

1 

2 

15 

27 

21 

14 

271 

18 

1 

5 

8 

17 

16 

25 

26 

46 

17 

43 

10 

9 

52 

6 

4 

5 

37 

2 

5 

13 

32 

1 

2 

105 

18 

52 

9 

3 

1 

8 

1 

1 

13 

3 

4 

16 

7 

8 

15 

11 

5 

16 

12 

1 

4 

59 

4 

222 

30 

4 

5 

36 

1 

17 

1 

1 

3 

I 

3 

4 

2 

4 



Total 
civilians 



City 



MICHIGAN— Continued 



Lansing 

Lansing Township 

Lapeer 

Lapeer Township 

Lathrup Village 

Laurium 

Lawrence 

Lennon 

Leoni Township 

Leslie 

Lexington 

Lincoln Park 

Linden 

Litchfield 

Livonia 

Lowell 

Ludington 

Luna Pier 

Lyon Township 

Mackinac Island 

Mackinaw City 

Madison Heights 

Mancelona 

Manchester Township . . 

Manistee 

Manistique 

Manton 

Maple Grove Township 

Marcellus 

Marine City 

Marlette 

Marquette 

Marshall 

Martin Township 

Marysville 

Mason 

Matiawan 

Mayville 

Melvindale 

Memphis 

Menominee 

Metro Beach 

Michiana 

Middleville 

Midland 

Midland Township 

Milan 

Milford 

Millmgton 

Monroe 

Montague 

Montrose 

Montrose Township 

Morenci 

Mount Clemens 

Mount Morris 

Mount Morris Township 

Mount Pleasant 

Mundy Township 

Munising 

Muskegon 

Muskegon Heights 

Muskegon Township — 

Napoleon Township 

Nashville 

Negaunee 

Newaygo 

New Baltimore 

Newberry 

New Buffalo 

New Haven 

New Lothrop 

Niles 

Niles Township 

Northfieid Township — 



Total 

police 

employees 



335 

15 

18 

3 

11 

4 

4 

1 

5 

4 

3 

71 

3 

4 

182 

7 

14 

4 

3 

5 

5 

66 

3 

1 

15 

II 

I 

I 

2 

10 

4 

39 

18 

2 

15 
10 

2 

I 

27 



Total 
officers 



262 



ble 72.— Number of Full-time Law Enforcement Employees, Cities, October 31, 1988— Continued 



City 



MICHIGAN— Continued 



rth Muskegon 

rthville 

nhville Township 

Hon Shores 

rvell Township 

rway 

vi 

k Park 

vet 

away 

tonagon 

twa Township-Edwardsburgh 

:hard Lake 

;oda-Ausable Township 

sville 

•ego 

osso 

ford 

chment 

ma 

V Paw 

infield Township 

ilwaler 

ry 

oskey 

ckney 

conning 

isfield Township 

inwel! 

asant Ridge 

mouth 

Iliac 

nage 

rt Austin 

rt Huron 

rlland 

rt Sanilac 

tterville 

lirieville Township 

incy 

ading 

dford Township 

ed City 

ese 

public Township 

:hfield Township (Genesee County) 
hfield Township (Roscommon County) 

:hland 

:hland Township 

:hmond 

ihmond Township 

ver Rouge 

verview 

Chester 

ickford 

ckwood 

igers City 

imeo 

tmulus 

osevelt Park 

>se City 

iseville 

yal Oak 

lyal Oak Township 

einaw 

ginaw Township 

int Charles 

int Clair 

int Clair Shores 

int Ignace 

int Johns 

int Joseph 

int Joseph Township 

int Louis 

line 



Total 

police 

employees 



Total 
officers 



7 

21 

20 

23 

1 

5 

61 

74 

3 

2 

2 

7 

8 

12 

3 

7 

21 

14 

4 

2 

8 

7 

3 

5 

12 

4 

3 

24 

8 

10 

24 

213 

65 

1 

69 

5 

1 

3 

1 

4 

1 

82 

6 

2 

1 

6 

3 

4 

2 

9 

1 

34 

28 

20 

8 

9 

6 

8 

63 

7 

1 

90 

93 

32 

129 

43 

3 

9 

88 

6 

16 

26 

9 

9 

16 



Total 
civilians 



6 
17 
15 
22 

1 

5 
41 
68 

3 

2 

2 

6 

7 

9 

3 

7 

19 
II 

4 

2 

6 

6 

3 

4 

II 

3 

3 

17 
7 
8 

18 
167 

53 
1 

51 
5 
1 
3 
1 
4 
1 

72 
6 
2 
1 
5 
3 
4 
2 
6 
I 

30 

25 

14 



6 

5 

51 

6 

1 

79 

85 

23 

114 

40 

3 

8 

82 

5 

12 
21 



10 



City 



MICHIGAN— Conrinued 



Sandusky 

Saugatuck 

Sault Sainte Marie 

Schoolcraft 

Scottville 

Sebewaing 

Shelby 

Shelby Township 

Shepherd 

Somerset Township 

Southfield 

Southgate 

South Haven 

South Lyon 

South Rockwood 

Sparta 

Spaulding Township 

Spring Arbor Township . . . . 

Springfield 

Spring Lake 

Springport Township 

Sterling Heights 

Stevensville 

Sturgis 

Summit Township 

Sumpter Township 

Sunfield 

Swartz Creek 

Sylvan Lake 

Taylor 

Tecumseh 

Thomas Township 

Three Oaks 

Three Rivers 

Tittabawassee 

Traverse City 

Trenton 

Troy 

Tuscarora Township 

Twin City 

Unadilla Township 

Union City 

Unionville 

Utica 

Van Buren Township 

Vassar 

Vicksburg 

Walker 

Walled Lake 

Warren 

Waterford Township 

Watervliet 

Wayland 

Wayne 

West Bloomfield Township 

West Branch 

Westland 

White Cloud 

Whitehall 

White Lake Township 

White Pigeon 

Williamston 

Wixon 

Wolverine Lake 

Woodhaven 

Woodstock Township 

Wyandotte 

Wyoming 

Yale 

Ypsilanti 

Zeeland 

Zilwaukee 



Total 

police 

employees 



Total 
officers 



3 

3 

27 

2 

3 

3 

3 

46 

1 

I 

203 

51 

19 

8 

1 

9 

2 

2 

8 

5 

1 

210 

5 

19 

5 

7 

1 

8 

5 

116 

14 

1 

3 

18 

4 

30 

56 

163 

2 

4 
1 
3 
2 

13 

12 
4 
6 

32 

16 

239 

102 

3 

4 

51 

61 
3 

96 
1 
6 

22 
3 
4 

16 
9 

25 
I 

59 

97 
4 

57 
7 
1 



Total 
civilians 



3 
2 
25 
2 
3 
3 
3 
38 
I 
1 
161 
41 
15 
7 
1 
6 
2 
2 
7 
5 
1 
155 
4 
15 
5 
5 
1 
7 
5 
100 
13 
1 
3 
13 
4 
29 
49 
119 
2 
4 
1 
3 
2 
9 
10 
4 
5 
25 
12 
210 
78 
3 
4 
38 
47 
3 
84 
1 

6 

13 

3 

4 

13 

7 

24 

1 

49 

71 

3 

45 

6 

1 



42 

10 

4 

1 



55 
1 
4 



16 
1 



1 

7 

44 



I 

7 

4 

29 

24 



13 
14 



12 



10 

26 
1 

12 
I 



263 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1988 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



MINNESOTA 



Alberta Lea 

Alexandria 

Anoka 

Apple Valley 

Austin 

Babbitt 

Baxter 

Bayport 

Belle Plaine 

Bemidji 

Benson 

Big Lake 

Blaine 

Bloomington 

Blue Earth 

Brainerd 

Breckenridge 

Brooklyn Center 

Brooklyn Park 

Buffalo 

Bumsville 

Caledonia 

Cambridge 

Cannon Falls 

Champlin 

Chanhassen Village ... 

Chaska 

Chisholm 

Circle Pines-Lexington 

Cloquet 

Cold Springs 

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 



39 


29 


22 


15 


34 


27 


42 


30 


48 


32 


4 


4 


4 


4 


4 


4 


5 


4 


21 


18 


5 


5 


5 


4 


37 


31 


121 


97 


5 


5 


22 


19 


1 1 


9 


46 


33 


59 


49 


8 


7 


61 


49 


3 


3 


9 


7 


6 


5 


15 


14 


2 


2 


13 


10 


13 


12 


8 


7 


16 


15 


4 


4 


27 


19 


54 


47 


3 


3 


31 


21 


14 


12 


8 


5 


38 


30 


3 


3 


8 


7 


13 


11 


3 


3 


150 


125 


54 


39 


21 


19 


48 


36 


52 


46 


16 


13 


9 


8 


8 


8 


16 


14 


30 


21 


6 


5 


21 


17 


9 


8 


43 


33 


6 


6 


7 


6 


3 


3 


40 


29 


5 


5 


16 


12 


5 


5 


20 


18 


7 


6 


29 


28 


32 


22 


5 


5 


20 


14 


11 


11 


29 


22 


7 


6 


2 


2 


5 


5 



10 



MINNESOTA— Continued 



Kenyon 

La Crescent 

Lake City 

Lakeville 

Le Sueur 

Lino Lakes 

Litchfield 

Little Falls 

Long Prairie 

Luveme 

Madison 

Mankato 

Maple Grove 

Maplewood 

Marshall 

Medina 

Melrose 

Mendota Heights 

Minneapolis 

Minnetonka 

Montevideo 

Moorhead 

Mora 

Morris 

Mound 

Mounds View 

New Brighton 

New Hope 

Newport 

New Prague 

New Ulm 

Northfield 

North Mankato 

North Saint Paul 

Oakdale 

Oak Park Heights 

Olivia 

Orono 

Ortonville 

Osseo 

Owatonna 

Park Rapids 

Pipestone 

Plainview 

Plymouth 

Princeton 

Prior Lake 

Proctor 

Ramsey 

Red Wing 

Redwood Falls 

Richfield 

Robbinsdale 

Rochester 

Roseau 

Rosemount 

Roseville 

Saint Anthony 

Saint Bonifacius-Minnetrista 

Saint Cloud 

Saint James 

Saint Joseph 

Saint Louis Park 

Saint Paul 

Samt Paul Park 

Saint Peter 

Sartell 

Sauk Centre 

Sauk Rapids 

Savage 

Shakopee 

Silver Bay 

Slayton 

Sleepy Eye 

South International Falls 



3 

4 

8 

29 

5 

9 

9 

13 

5 

6 

3 

42 

32 

49 

20 

4 

4 

15 

828 

59 

9 

53 

5 

II 

12 

14 

22 

26 

6 

6 

22 

21 

9 

15 

17 

8 

3 

17 
6 
3 
24 
5 
5 
3 
46 
5 

13 

6 

8 

23 

8 

53 

25 

120 

4 

II 

41 

11 

8 

66 

7 

4 

63 

642 

6 

14 

5 

8 

9 

13 

20 

4 

5 

5 

3 



264 



able 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1988 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



Citv 



Total 

police 

employees 



Total 
ofTicers 



Total 
civilians 



MINNESOTA— Continued 



luth Lake Minnetonka 

tuth Saint Paul 

iringfield 

iring Lake Park 

aples 

illwater 

lief River Falls 

■acy 

vo Harbors 

rginia 

abasha 

adena 

aite Park 

aseca 

ayzata 

ells 

est Hennepin 

est Saint Paul 

hite Bear Lake 

illmar 

indom 

inona 

oodbury 

orthington 



MISSISSIPPI 



lerdeen 

:kerman 

nory 

itesville 

ly Samt Louis 

;l2oni 

>oneville 

ookhaven 

"uce 

ilhoun City .. 

irthage 

arksdale 

inton 

Dllins 

Dlumbia 

Dlumbus 

omo 

Drmth 

e Kalb 

rew 

urant 

jwards 

jpora 

ayette 

owood 

jrest 

ulton 

losler 

reenviile 

reenwood 

renada 

ulfport 

altiesburg 

azelhurst 

emando 

idianola 

ivemess 

ickson 

osciusko 

aurel 

eakesville 

ong Beach 

ouisville 

ucedale 

lacoTi 

ladison 

lagee 

IcComb 



MISSISSIPPI— Continued 



16 

4 

19 

19 

17 

10 

17 

28 

7 

6 

g 

37 

34 

6 

25 

63 

3 

30 

3 

8 

4 

4 

7 

4 

20 

13 

6 

6 

115 

54 

33 

103 

115 

14 

7 

29 

4 

506 

21 

75 

3 

26 

22 

9 

5 

10 
13 
38 



12 

4 

19 

14 

13 

6 

13 

27 

7 

6 

8 

29 

23 

6 

19 

54 

3 

27 

3 

5 

4 

4 

4 

3 

15 

9 

6 

4 

88 

44 

25 

65 

74 

11 

7 

23 

4 

373 

18 

53 

3 

19 
17 
5 
5 
8 

13 
26 



133 
3 

22 



Mendenhall 

Meridian 

Morton 

Moss Point 

Natchez 

New Albany 

Newton 

Ocean Springs 

Oxford 

Pascagoula . . . 
Pass Christian 

Pearl 

Pelahatchie . . 

Petal 

Philadelphia 

Picayune 

Raymond — 

Ripley 

Rolling Fork 

Ruleville 

Sandersville .. 

Senatobia 

Starkville 

Stonewall — 

Sunflower 

Tupelo 

Verona 

Vicksburg 

Water Valley 

Waveland 

Waynesboro 

Wiggins 

Winona 

Yazoo City .. 



MISSOURI 



Arnold 

Ballwin 

Bellefontaine Neighbors 

Bel-Nor 

Bel-Ridge 

Belton 

Berkeley 

Blue Springs 

Bolivar 

Bonne Terre 

Boonville 

Branson 

Breckenridge Hills 

Brentwood 

Bridgeton 

Brookfield 

Butler 

Calverton Park 

Cameron 

Canton 

Cape Girardeau 

CarroUton 



Carthage 

Centralia 

Chaffee 

Charlack 

Claycoma 

Clayton 

Clinton 

Cool Valley 

Country Club Hills 

Crestwood 

Creve Coeur 

Crystal City 

Dellwood 

De Soto 

Des Peres 

Edmundson 



10 
121 
12 
36 
58 
16 
12 
36 
39 
79 
18 
36 

6 
16 
21 
33 

4 
13 

5 
10 

2 
10 
25 

2 

4 
65 

6 
67 
12 
18 
14 
10 
13 
35 



265 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1988 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



MISSOURI— Continued 

EUisville 

Eureka 

Excelsior Springs 

Farmington 

Fayette 

Fenton 

Ferguson 

Festus 

Flat River 

Florissant 

Frontenac 

Fulton 

Gladstone 

Glendale 

Gram Valley 

Grandview 

Hanley Hills 

Hannibal 

Harrisonville 

Hazelwood 

Hillsdale 

Independence 

Ironlon 

Jackson 

Jefferson City 

Jennings 

Joplin 

Kansas City 

Kearney 

Kennett 

Kirksville 

Kirkwood 

Ladue 

Lake Lotawana 

Lake Saint Louis 

Lamar 

Lebanon 

Lees Summit 

Lexington 

Louisiana 

Macon 

Manchester 

Maplewood 

Marceline 

Marshall 

Maryland Heights 

Mary ville 

Mexico 

Moberly 

Moline Acres 

Neosho 

Nevada 

Normandy 

North Kansas City 

Northwoods 

Odessa 

O'Fallon 

Olivette 

Overland 

Pacific 

Pagedale 

Parkville 

Pevely 

Plattsburg 

Pleasant Hill 

Poplar Bluff 

Potosi 

Raytown 

Republic 

Richmond 

Richmond Heights 

Riverside 

Riverview 

Rock Hill 

Rolla 



20 
14 
29 
13 

6 
26 
58 
24 
14 
88 
23 
26 
56 
13 

6 
49 

6 
45 
22 
50 
10 
208 

4 
14 
72 
56 
74 
1,697 

4 
23 
30 
62 
35 

7 
18 

8 
22 
69 

8 

13 
10 
20 
26 

5 
29 
70 
20 
29 
38 

7 
27 
24 
20 
38 
19 

6 
38 
26 
59 
15 
14 

7 
15 

4 
12 
40 
15 
64 
12 
17 
30 
17 

8 

16 
33 



19 
13 
20 
12 

5 

19 
51 
16 

8 
72 
18 
22 
46 
10 

5 
40 

6 
31 
14 
38 

9 
155 

4 
14 
58 
41 
60 
1.117 

4 
19 
23 
49 
29 

7 
12 

7 
17 
51 

7 

7 

9 
19 
21 

5 
22 
56 
14 
23 
34 

7 
20 
16 
18 
31 
17 

6 
36 
21 
45 
10 
13 

6 
10 

4 

7 
31 

9 
50 
12 
11 
27 
12 

8 

12 
23 



14 

15 

14 

580 



MISSOURI— Continued 



Samt Ann 

Samt Charles 

Sainte Genevieve . . 

Saint George 

Saint Joseph 

Saint Louis 

Saint Peters 

Saint Robert 

Salem 

Savannah 

Sedalia 

Shrewsbury 

Sikeston 

Slater 

Smilhville 

Springfield 

Sugar Creek 

Sullivan 

Sunset Hills 

Town And Country 

Trenton 

Union 

University City — 

Valley Park 

Vandalia 

Vinita Park 

Warrensburg 

Warson Woods 

Washington 

Webb City 

Webster Groves . . . 

Wellston 

Wentzville 

Weston 

West Plains 

Windsor 

Woodson Terrace 



MONTANA 



Baker 

Billings 

Boulder 

Bozeman 

Columbia Falls 

Conrad 

East Helena 

Eureka 

Fort Benton 

Glasgow 

Glendive 

Great Falls 

Hamilton 

Havre 

Helena 

Kalispell 

Laurel 

Lewistown 

Livingston 

Malta 

Miles City-Custer County 

Missoula 

Plentywood 

Red Lodge 

Saint Ignatius 

Scobey 

Sidney 

West Yellowstone 

Whitefish 



NEBRASKA 



43 
97 

7 

4 

120 

2,115 

52 

9 
10 

5 
48 
18 
53 

7 

5 
213 
13 
17 
23 
27 
16 
13 
91 
10 

8 
II 
23 

7 
24 
15 
48 
19 
23 

4 
18 

5 
14 



119 

2 

31 

12 

5 

4 

2 

3 

9 

15 

84 

9 

17 

38 

31 

14 

13 

13 

8 

16 

71 

5 

6 

2 

5 

11 

9 

12 



Alliance 
Ashland 
Aurora 



266 



able 72. — Number of Full-time La» Enforcement Employees, Cities, October 31, 1988 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



NEBRASKA— Continued 



iatrice 

sUevue 

lair 

roken Bow 

antral City 

hadron 

olumbus 

ozad 

rete 

akota City 

avid City 

Ikhorr 

alls City 

remont 

eneva 

ering 

ordon 

othenburg 

rand Island 

astings 

oldrege 

eamey 

imball 

a Vista 

exington 

incoln 

ladison 

IcCook 

lilford 

linden 

lilchell ■. 

ebraska City 

iorfolk 

lorth Platte 

igallala 

imaha 

I'Neill 

>rd 

apillion 

ierce 

lattsmouth 

lalsion 

chuyler 

cotlsbluff 

eward 

■idney 

outh Sioux City 

.tanton 

■upenor 

iyracuse 

"ecumseh 

"ekamah 

Valentine 

/alley 

Vahoo 

Vayne 

Vest Point 

Vilber 

I'ork 

NEVADA 



ioulder City 

Taliente 

Tarlin 

-allon 

Henderson 

-as Vegas Metropolitan Police Jurisdiction 

-ovelock 

•^orth Las Vegas 

^eno 

Sparks 

^Vinnemucca 

Verington 



26 
56 

12 

12 

6 

17 

32 

9 

14 

3 

5 

4 

13 

38 

3 

16 

6 

9 

53 

37 

12 

36 

7 

17 

13 

305 

4 

17 

5 

4 

4 

14 

42 

48 

II 

750 

10 

7 

9 

2 

8 

9 

6 

36 

10 

15 

18 

2 

5 

3 

4 

3 

3 

3 

6 

II 

6 

4 

18 



24 

3 

5 

23 

92 

1,679 

6 

154 

413 

101 

17 



19 

41 
11 
6 
5 
11 
22 
5 
9 
3 
5 
4 
9 
29 
3 

13 

5 

5 

48 

32 

8 

30 

6 

15 

9 

236 

4 

14 

5 

4 

4 

12 

30 

30 

9 

603 

6 

3 

g 

2 

7 

8 

6 

27 

7 

II 

14 

2 

5 

3 

3 

3 

3 

3 

6 

7 

6 

4 

14 



20 
3 

5 

17 

58 

1,125 

5 

115 

264 

65 

15 

7 



147 
4 
4 
1 



6 

34 

554 

1 

39 
149 

36 



NEW HAMPSHIRE 

Allenstown 

Alton 

Amherst 

Ashland 

Atkinson 

Auburn 

Harrington 

Bedford 

Belmont 

Berlin 

Boscawen 

Bow 

Bristol 

Carroll 

Charleston 

Claremont 

Colebrook 

Concord 

Conway 

Derry 

Dover 

Enfield 

Epping 

Exeter 

Farmington 

Fitzwilliam 

Franklin 

Gilford 

Goffstown 

Gorham 

Grantham 

Greenville 

Hampstead 

Hampton 

Hanover 

Hillsboro 

Hinsdale 

Holdemess 

Hollib 

Hooksetl 

Hopkinton 

Hudson 

Jackson 

Jaffrey 

Keene 

Kingston 

Laconia 

Lancaster 

Lebanon 

Lincoln 

Litchfield 

Littleton 

Londonderry 

Manchester 

Meredith 

Merrimack 

Milford 

Milton 

Moultonboro 

Nashua 

New Castle 

New Hampton 

Newington 

New London 

Newmarket 

Newport 

Newton 

Northfield 

North Hampton 

Northumberland 

Northwood 

Pelham 

Pembroke 

Peterborough 

Pittsfield 



13 

6 

1 

3 

5 

31 

II 

26 

5 

II 

7 

3 

7 

37 

4 

84 

32 

54 

60 

4 

5 

28 

10 

4 

21 

19 

33 

9 

1 

2 

3 

42 

26 

6 

5 

5 

9 

31 

5 

41 

2 

11 

53 

7 

49 

6 

28 

10 

S 

11 

42 

220 

13 

40 

20 

2 

6 

200 

3 

3 

II 

9 

10 

17 

5 

6 

10 

4 

4 

19 

10 

II 

3 



6 

7 

12 

5 

I 

3 

5 

24 

10 

24 

4 

7 

6 

3 

3 

26 

4 

64 

22 

45 

44 

4 

5 

20 

9 

3 

18 

12 

22 

8 

I 

2 

3 

34 

15 

6 

4 

5 

7 

21 

4 

30 

2 

10 

41 

6 

39 

6 

26 

6 

7 

10 

34 

169 

12 

30 

18 

2 

5 

150 

3 

3 

10 
5 
9 
13 
4 
5 
9 
4 
3 
14 
9 
9 
3 



267 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1988 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



NEW HAMPSHIRE— Continued 

Plainfield 

Plaistow 

Portsmouth 

Raymond 

Rindge 

Rochester 

Rye 

Salem 

Sanbomton 

Seabrook 

Somersworth 

Swanzey 

Tilton 

Waterville Valley 

Webster 

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 

Harrington 

Bay Head 

Bayonne 

Beach Haven 

Beachwood 

Bedmmster Township 

Belleville 

Bellmawr 

Belmar 

Belvidere 

Bergenfield 

Berkeley Heights 

Berkeley Township 

Berlin 

Berlin Township 

Bernards Township 

Bemardsville 

Beverly 

Blairstown Township 

Bloomfield 

Bloomingdaie 

Bloomsbury 

Bogota 

Boonton 

Boonton Township 

Bordentown 

Bordentown Township 

Bound Brook 

Bradley Beach 

Branchburg Township 

Brick Township 

Bridgeton 

Bridgewater Township 

Brielle 

Brigantine 

Brooklawn 

Buena 



38 
26 
18 
12 

5 

5 
12 
13 
61 
560 
19 
18 

4 
32 
13 
24 
16 

9 
199 
13 
15 
13 
88 
23 
26 

5 
55 
30 
65 
14 
15 
34 
15 

6 

11 

129 

15 

1 
21 
20 

8 
12 
20 
21 
19 
17 
1 11 
58 
68 
19 
36 

3 
13 



30 
24 
15 

8 

5 

5 
12 

6 

54 

398 

14 

17 

4 
25 

9 
19 
15 

8 
178 
13 
14 
12 
85 
18 
21 

5 
48 
26 
55 
12 
14 
27 
14 

5 

6 

108 

14 

1 
21 
17 



7 
7 
162 
5 
1 



21 



NEW JERSEY— Continued 

Burlington 

Burlington Township 

Butler 

Byram Township 

Caldwell 

Califon 

Camden 

Cape May 

Cape May Point 

Carlstadt 

Cameys Point Township 

Carteret 

Cedar Grove Township 

Chatham 

Chatham Township 

Cherry Hill Township 

Chesilhurst 

Chester 

Chesterfield Township 

Chester Township 

Cinnaminson Township 

Clark 

Clayton 

Clementon 

Cliffside Park 

Clifton 

Clinton 

Clinton Township 

Closter 

Collingswood 

Cranford Township 

Cresskill 

Cranbury Township 

Deal 

Delanco Township 

Delaware Towhship 

Delran Township 

Demarest 

Denville Township 

Deptford Township 

Dover 

Dover Township 

Dumont 

Dunellen 

Eastampton Township 

East Bumswick Township 

East Greenwich Township 

East Hanover Township 

East Newark 

East Orange 

East Rutherford 

East Windsor Township 

Eatontown 

Edgewater 

Edgewater Park Township 

Edison 

Egg Harbor City 

Egg Harbor Township 

Elizabeth 

Elk Township 

Elmer 

Elmwood Park 

Emerson 

Englewood 

Englewood Cliffs 

Englishtown 

Essex Fells 

Evesham Township 

Ewing Township 

Fairfield 

Fair Haven 

Fair Lawn 

Fairview 

Fanwood 

Far Hills 



40 
41 
15 
15 
23 

2 

341 

20 

6 
32 
24 
56 
29 
24 
31 
143 

7 
10 

1 
18 
30 
49 
17 
II 
45 
165 

6 
20 
21 
28 
60 
22 
10 
17 

8 

7 
27 
12 
35 
51 
30 
162 
36 
17 
12 
117 
12 
33 

9 

237 

30 

54 

41 

23 

14 

222 

16 

72 

392 

8 

3 
35 
19 
92 
28 

I 
12 
44 
74 
30 
14 
62 
25 
22 

3 



33 
33 
14 
13 
21 

2 

289 

14 

6 
31 
17 
49 
28 
18 
28 
117 

6 

9 

1 
17 
25 
44 
12 
10 
43 
144 

6 
18 
19 
23 
49 
19 

9 
13 

7 

6 
22 
12 
28 
44 
28 
129 
34 
14 
II 
89 
II 
29 

9 
225 
26 
42 
32 
23 
13 
183 

9 

63 

317 

7 

3 
32 
19 
77 
27 

1 
II 
40 
67 
28 
13 
52 
25 
21 

3 



268 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1988 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



NEW JERSEY— Continued 

Fleraington 

Florence Township 

Florham Park 

Fort Lee 

Franklin 

Franklin Lakes 

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

Freehold 

Freehold Township 

Frenchiown 

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 

Hainespon Township 

Haledon 

Hamburg 

Hamilton Township (Mercer County) 
Hamilton Township (Atlantic County) 

Hammonton 

Hampton 

Hanover Township 

Harding Township 

Hardyston Township 

Harrington Park 

Harrison 

Harrison Township 

Harvey Cedars 

Hasbrouck Heights 

Haworth 

Hawthorne 

Hazlet Township 

Helmetta 

High Bridge 

Highland Park 

Highlands 

Hightstown 

Hillsborough Township 

Hillsdale 

Hillside Township 

Hi Nella 

Hoboken 

Ho-Ho-Kos 

Holland Township 

Holmdel Township 

Hopatcong 

Hopewell Township 

Howell Township 

Independence Township 

Interlaken 

Irvington 

Island Heights 

Jackson Township 

Jamesburg 

Jefferson Township 

Jersey City 

Keansburg 

Kearny 

Kenilworth 



1 1 
23 
27 
111 
14 
27 
26 

4 
90 
28 
49 

4 
39 
58 
17 

2 
34 
32 
26 
29 
86 
18 
21 

2 
19 
122 
21 
29 
19 
29 

9 
19 

6 

195 

43 

31 

2 
32 
14 
17 
10 
50 

9 

9 
32 
13 
29 
45 

3 

5 
36 
17 
14 
42 
23 
79 

I 

139 

14 

6 
37 
30 
30 
79 

4 

5 
171 

5 
62 

8 

38 

975 

30 

138 

26 



10 
18 
25 
95 
13 
22 
19 

4 
79 
26 
38 

4 
35 
49 
17 

2 
27 
26 
21 
24 
67 
14 
16 

2 
18 
108 
16 
22 
15 
25 

8 
15 

6 
170 
34 
25 

2 
26 
13 
12 
10 
46 



30 
U 
28 
37 

3 

5 
30 
12 

9 
37 
19 
69 

1 

129 

13 

5 
27 
23 
24 
65 

4 

5 
149 

5 
51 

8 

32 

896 

24 

132 

25 



22 



NEW JERSEY— Continued 

Keyport 

Kinnelon 

Lacey Township 

Lakehurst 

Lakewood 

Lambertville 

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 Brancn 

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) 

Mantoloking 

Mantua Township 

Manville 

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 

Millbura Township 

Milltown 

MillviUe 

Mine Hill Township 

Monmouth Beach 

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

Montclair — 

Montgomery Township 

Montvale 

Montville Township 

Moonachie 

Mooreslown Township 

Morris Plains 

Morristown 

Morris Township 



24 
16 
41 
II 
11.1 
I I 

8 
14 

6 
61 

9 
24 
20 
139 
33 
22 
36 
25 
24 
19 
52 
44 
10 
39 
98 
14 
14 
18 
42 
17 
54 
39 

8 
50 
51 
23 
78 
U 

5 

8 
24 
23 
37 
60 
38 
64 
24 
27 

8 
37 
11 
16 
17 
34 
32 
51 
125 
16 

4 
60 
15 
66 

9 
II 
51 
39 
109 
22 
22 
36 
19 
41 
23 
64 
55 



17 
15 
33 

9 
95 

9 

7 
11 

5 
56 

8 
21 
19 
123 
30 
18 
26 
19 
24 
14 
45 
42 
10 
33 
79 
II 
10 
12 
36 
16 
48 
35 

8 
44 
43 
17 
68 
II 

2 

7 

16 
22 
30 
51 
29 
50 
19 
26 

7 
30 
10 
15 
12 
30 
30 
40 
101 
12 

4 
55 
12 
53 

8 

10 
42 
31 
95 
16 
20 
32 
16 
32 
18 
58 
46 



269 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1988 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
olTicers 



NEW JERSEY— Continued 



Mountain Lakes 

Mountainside 

Mount Arlington 

Mount Ephraim 

Mount Holly 

Mount Laurel Township 

Mount Olive Township 

MuUica Township 

National Park 

Neptune 

Neptune Township 

Netcong 

Newark 

New Brunswick 

Newfield 

New Hanover Township 

New Milford 

New Providence 

Newton 

North Arlington 

North Bergen Township 

North Brunswick Township 

North Caldwell 

Northfield 

North Haledon 

North Hanover Township 

North Plainfield 

Northvale 

North Wildwood 

Norwood 

Nutley 

Oakland 

Oaklyn 

Ocean City 

Ocean Gate 

Oceanport 

Ocean Township (Monmouth County) 
Ocean Township (Ocean County) 

Ogdensburg 

Old Bridge 

Old Tappan 

Oradell 

Orange 

Oxford Township 

Palisades Park 

Palmyra 

Paramus 

Park Ridge 

Parsippany-Troy Hills Township 

Passaic 

Passaic Township 

Paterson 

Paulsboro 

Peapack And Gladstone 

Pemberton 

Pemberton Township 

Pennington 

Pennsauken 

Penns Grove 

Pennsville Township 

Pequannock Township 

Perth Amboy 

Phillipsburg 

Pine Beach 

Pine Hill 

Pine Valley 

Piscataway Township 

Pitman 

Plainfield 

Plainsboro Township 

Pleasantville 

Plumsted Township 

Pohatcong 

Point Pleasant 

Point Pleasant Beach 



NEW JERSEY— Continued 



12 
23 
II 
11 
24 
50 
48 
13 

7 

18 
76 

8 

1,291 

151 

4 

3 
40 
29 
23 
46 
118 
75 
19 
26 
19 

6 
43 
13 
37 
14 
72 
32 

9 
86 

6 
19 
72 
16 

6 

128 

13 

22 

101 

4 

32 

16 

119 

22 

132 

139 

25 

423 

19 

8 

3 
51 

2 
122 
20 
33 
29 
133 
35 

6 
16 

7 
99 
17 
163 
28 
50 

4 

7 
33 
27 



12 
20 
10 
10 
20 
41 
40 
12 

6 
15 
68 

7 

1,076 

125 

4 

3 
37 
24 
15 
43 
103 
68 
15 
19 
15 

5 
38 
12 
32 
14 
63 
30 

7 
61 

5 

14 
62 
13 

6 
98 
12 
21 
91 

4 

31 

15 

97 

19 

108 

130 

19 

377 

13 

7 

3 
43 

2 
91 
14 
30 
24 
120 
30 

5 
14 

7 
87 
12 
128 
22 
43 

3 

6 
25 
20 



3 
1 
1 

4 
9 
8 
1 
1 
3 
8 
1 
215 
26 



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 

Sea Bright 

Sea Girt 

Sea Isle City 

Seaside Heights 

Seaside Park 

Secaucus 

Ship Bottom 

Shrewsbury 

Somerdale 

Somers Point 

Somerville 

South Amboy 

South Belmar 

South Bound Brook 

South Brunswick Township 

South Hackensack 

South Harrison Township 

South Orange 

South Plainfield 

South River 

South Toms River 

Sparta Township 

Spotswood 

Springfield 

Springfield Township 

Spring Lake 

Spring Lake Heights 

Stafford Township 

Stanhope 

Stillwater Township 

Stone Harbor 

Stratford 

Summit 

Surf City 

Sussex 

Swedesboro 

Teaneck Township 

Tenafly 

Teterboro 

Tewksbury Township 



27 
39 
33 

8 
77 
36 
46 
19 
24 
17 
48 
34 
29 
56 
30 
15 
28 
13 

6 
20 
21 
14 
57 
23 
48 
32 
41 
19 
17 
50 
33 
15 
23 
99 
47 
14 
15 
30 
32 
19 
77 
11 
17 
10 
30 
37 
32 

9 
12 
68 
18 

3 
53 
62 
31 

6 
32 
20 
44 

2 

16 
16 
48 

8 

1 
29 
II 
56 
15 

4 

4 
96 
36 



19 
31 
30 
8 
71 
31 
37 



15 
43 
30 
27 
48 
24 
II 
24 
12 

6 
20 
21 
13 
44 
23 
45 
31 
34 
17 
15 
45 
32 
13 
17 
84 
42 
10 
II 
22 
23 
15 
68 
10 
13 

9 
24 
32 
30 

9 
12 
54 



47 
55 
25 

6 
26 
19 
40 

2 

13 

13 

37 

7 

I 

22 

10 

45 

11 

4 

4 

85 

32 



270 



lable 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1988 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



NEW JERSEY— Continued 

Tinton Falls 

Tolowa 

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 

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 

WoodclilT Lake 

Woodlynne 

Wood Ridge 

Woodstown 

Woolwich 

Wyckoff 

NEW MEXICO 

Acoma 

Alamogordo 

Albuquerque 

Artesia 

Aztec 

Bayard 

Beien 

Bloomfield 

Bosque Farms 

Carlsbad 

Clayton 

Clovis 

Corrales 



NEW MEXICO— Continued 



35 
24 

435 
9 
16 

173 

145 
22 
42 
32 
35 

121 
47 
22 
20 
67 
20 
28 
16 
20 
68 
14 
33 
II 
29 
18 

123 

47 

5 

20 

4 

29 

7 

33 

65 

22 

48 

102 

100 
22 
II 
4 
39 
27 
12 
57 
28 
82 
9 
76 

207 

32 

7 

17 

6 

19 

8 

5 

28 



13 
74 
1,100 
32 
22 
7 
25 
20 
10 
50 
15 
74 
12 



23 
370 

7 
13 
153 
112 
18 
34 
25 
32 
106 
36 
18 
20 
53 
15 
21 
11 
20 
56 
13 
25 
10 
22 
15 
108 
44 

5 
17 

4 
28 

6 
29 
56 
17 
41 
102 
92 
21 

9 

4 
31 
25 
11 
44 
23 
64 

9 
60 
174 
24 

6 
16 

6 
18 

7 

4 
26 



7 

58 

729 

19 

15 

6 
19 
14 

9 
34 
15 
56 



6 

16 

371 

13 

7 

1 

6 

6 

1 

16 



Cuba 

Deming 

Eunice 

Farmington 

Gallup 

Grants 

Hobbs 

Hurley 

Jal 

Jemez Springs 

Las Cruces 

Las Vegas 

Los Alamos 

Los Lunas 

Lovington 

Milan 

Portales 

Questa 

Raton 

Red River 

Rio Rancho 

Roswell 

Ruidoso 

Ruidoso Downs 

Santa Rosa 

Silver City 

Taos Pueblo Tribal ... 

Talum 

Truth or Consequences 

Tularosa 

Vaughn 



NEW YORK 



Addison Town and Village 

Albion Village 

Alfred Village 

.MIegany Village 

Altamonl Village 

Amherst Town 

Amity Town and Belmont Village 

Amityville Village 

Amsterdam 

Andover Village 

Ardsley Village 

Asharoken Village 

Athens Village 

Attica Village 

Auburn 

Avon Village 

BaldwinsviUe Village 

Ballston Spa Village 

Batavia 

Bath Village 

Beacon 

Bedford Town 

Belmont 

Bethlehem Town 

Binghamton 

Blooming Grove Town 

Bolivar Village 

Brant Town 

BriarclilT Manor Village 

Brighton Town 

Brockpon Village 

Bronxville Village 

Buchanan Village 

Buffalo 

Caledonia Village 

Cambridge Village 

Camden Village 

Camillus Town And Village 

Canajoharie Village 

Canandaigua 

Canastota Village 



7 

26 

10 

113 

106 

32 

102 

4 

8 

6 
124 
52 
46 
23 
25 

9 
24 

4 
23 

7 
85 
97 
26 
10 
10 
31 
10 

7 
16 
12 

7 



3 


3 


10 


9 


6 


6 


2 




168 


144 


27 


26 


41 


39 


16 


16 


3 




2 




5 




61 


53 


3 




16 


13 


19 




37 


33 


14 


10 


35 


33 


43 


38 


44 


33 


147 


135 


11 

1 


II 


1 
17 


,' 


49 


40 


17 


13 


23 


23 


4 




1,154 


1,041 


3 




3 




18 


17 


4 




31 


26 


5 


5 



271 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1988 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



NEW YORK— Continued 



Canisteo Village 

Canton Village 

Carmel Town 

Carroll Town 

Carthage Village 

Catskill Village 

Cayuga Heights Village 

Cazenovia Village 

Centre Island Village 

Chatham Village 

Cheektowaga Town 

Chester Village 

Chittenango Village 

Clarkstown Town 

Clayton Village 

Clay Town 

Clifton Springs Village 

Clinton Village 

Clyde Village 

Cobleskill Village 

Cohocton Town 

Cohoes 

Cold Spring Village 

Colonic Town 

Cooperstown Village 

Corinth Village 

Coming 

Comwall-on-the-Hudson Village 

Cornwall Town 

Cortland 

Cortand Town 

Cove Neck Village 

Crawford Town 

Croton-on-Hudson Village 

Dansville Village 

Delhi Village 

Depew Village 

Deposit 

Dewitt Town 

Dobbs Ferry Village 

Dolgeville Village 

Dryden Village 

Dunkirk 

East Aurora-Aurora Town 

Eastchester Town 

East Fishkill Town 

East Greenbush Town 

East Hampton Village 

East Hampton Town 

East Rochester Village 

East Syracuse Village 

Eden Town 

Ellenville Village 

Ellicott Town 

Elmira 

Elmira Town 

Elmira Heights Village 

Elmsford Village 

Endicott Village 

Erwin Town 

Evans Town 

Fairport Village 

Floral Park Village 

Florida Village 

Fort Edward Village 

Fort Plain Village 

Franklinville Village 

Fredonia Village 

Freeport Village 

Fulton 

Garden City Village 

Geddes Town 

Geneseo Village 

Geneva 

Glen Cove 



NEW YORK— Continued 



2 

14 

41 

1 

7 

15 

7 

5 

3 

4 

137 

7 

6 

148 

3 

26 

1 

6 

3 

6 

I 

34 

3 

143 

6 

4 

28 

5 

10 

44 

14 

3 

7 

18 

10 

4 

39 

3 

32 

23 

5 

3 

31 

18 

62 

22 

19 

22 

59 

12 

12 

4 

12 

12 

87 

4 

10 

16 

41 

3 

25 

8 

39 

1 

5 

3 

2 

16 

86 

37 

58 

17 

6 

36 

57 



2 

11 

38 

1 

6 

15 

6 

5 

3 

3 

125 

6 

6 

130 

3 

18 

1 

1 

3 

6 

1 

31 

3 

103 

6 

4 

28 

5 

9 

40 

9 

3 

6 

18 

7 

4 

31 

3 

29 

23 

5 

2 

31 

14 

52 

16 

14 

16 

45 

11 

7 

3 

10 

11 

81 

4 

10 

16 

38 

3 

20 

7 

31 

1 

5 

3 

2 

16 

75 

33 

44 

14 

6 

34 

48 



Glens Falls 

Glenville Town 

Gloversville 

Goshen Village 

Gouvemeur Village 

Gowanda Village 

Granville 

Great Neck Estates Village 

Greece Town 

Greenburgh Town 

Greene Village 

Green Island Village 

Greenport Village 

Greenport Town 

Greenwich Village 

Greenwood Lake Village ... 

Groton Village 

Guilderland Town 

Hamburg Village 

Hamburg Town 

Hamilton Village 

Hammondsport Village 

Harriman Village 

Harrison Town 

Hastings-on-Hudson Village 

Haverstraw Village 

Haverstraw Town 

Hempstead Village 

Herkimer Village 

Highland Falls Village 

HoUey Village 

Homer Village 

Hoosick Falls Village 

Homell 

Horseheads Village 

Hudson 

Hudson Falls Village 

Hunter Town 

Huntington Bay Village 

Ilion Village 

Irondequoit Town 

Irvington Village 

Ithaca 

Jamestown 

Johnson City Village 

Johnstown 

Kenmore Village 

Kensington Village 

Kent Town 

Kings Point Village 

Kingston 

Kirkland Town 

Lackawanna 

Lake Success Village 

Lakewood-Busti 

Lancaster Town 

Lancaster Village 

Larchmont Village 

Laurel Hollow Village 

Le Roy Village 

Lewiston Village 

Liberty Village 

Little Falls 

Liverpool Village 

Lloyd Town 

Lloyd Harbor Village 

Lockport 

Long Beach 

Lowville Village 

Lynbrook Village 

Lyons Village 

Macedon Town And Village 

Malone Village 

Malveme Village 

Mamaroneck Town 



37 

27 

36 

14 

12 

5 

7 

15 

107 

115 

3 

15 

8 

2 

2 

13 

3 

30 

22 

65 

5 

3 

3 

66 

22 

19 

28 

125 

21 

11 

3 

5 

4 

21 

14 

25 

15 

4 

6 

18 

67 

21 

77 

90 

40 

23 

29 

7 

19 

22 

73 

3 

60 

24 

9 

28 

22 

31 

10 

10 

3 

17 

14 

11 

7 

13 
56 
89 
6 
49 
10 
2 
16 
22 
41 



29 

18 

33 

13 

8 

5 

7 

14 

92 

100 

2 

9 

8 

2 

2 

10 

2 

21 

16 

63 

5 

2 

3 

62 

21 

19 

27 

87 

20 

7 

3 

4 

4 

20 

10 

24 

II 

4 

6 

16 

54 

21 

71 

74 

36 

23 

28 

7 

15 

22 

69 

3 

52 

21 

8 

23 

16 

28 

7 

7 

3 

14 

13 

10 

6 

12 

54 

78 

6 

43 

8 

2 

15 

22 

40 



272 



tbie 



72._Number of Full-time Law Enforcement Employees, Cities, October 31, 1988— Continued 



City 



NEW YORK— Continued 



imaroneck Village 

jnlius Town 

ircellus Village 

irlborough Town 

jssena Village 

aybrook Village 

:Graw Village 

echanicville 

sdina Village 

enands Village 

iddlepon Village 

iddletown 

illbrook Village 

ill Neck Village 

onroe Village 

ontgomery Town 

onlicello Village 

oriah Town 

cum Kisco Village 

ounl Morris Village 

ount Pleasant Town 

ount Vernon 

aples Town And Village 

ewark Village 

ewburgh 

ewburgh Town 

ew Castle Town 

ew Hartford Town And Village 

ew Platz Town And Village . . . 

ew Rochelle 

ew Windsor Town 

ew York 

ew York Mills Village 

iagara Falls 

lagara Town 

iskayuna Town 

issequogue Village 

lorth Castle Town 

lonh Oreenbush Town 

lorthport Village 

lorth Syracuse Village 

lorth Tarrytown Village 

Jorth Tonawanda 

Jorwich 

Jyack Village 

)cean Beach Village 

)gdensburg 

)ld Brookville Village 

)lean 

)neida 

I )neonta 

)rangetown Town 

Orchard Park Town 

)ssining Village 

Jssining Town 

)swego 

)wego Village 

Jyster Bay Cove Village 

'ainted Post Village 

I ^almyra Village 

^awling Village 

Peekskill 

Pelham Manor Village 

Pelham Village 

Penn Yan Village 

Perry Village 

Piermont Village 

PLiiisburgh 

Pli-jsantville Village 

Port Chester Village 

Port Dickinson Village 

'Port Henry Village 

I Port Jervis 

Portville Village 

Port Washington Village 



Total 

police 

employees 



Total 
ofilcers 



52 

35 

1 

11 

23 

14 

1 

13 
13 
16 
1 
60 
1 
3 
16 
4 
23 
1 
30 
12 
46 
216 
1 
21 
86 
44 
39 
11 
26 
216 
36 
36,027 
4 
140 
4 
32 
3 
28 
12 
20 
17 
26 
59 
19 
25 
2 
30 
36 
38 
21 
30 
82 
31 
53 
11 
53 
15 
6 
4 
6 
3 
65 
29 
25 
12 
7 
6 
44 
23 
62 
4 
1 
24 
3 
59 



Total 
civilians 



46 

31 
1 

7 

22 

14 

1 

12 

10 

10 

1 

53 

1 

3 

12 
3 
21 
1 
29 
10 
42 
172 
1 
19 
72 
36 
37 
10 
19 
185 
29 
26,723 
4 
126 
4 
26 
3 
25 
8 
16 
12 
26 
57 
18 
22 
2 
25 
29 
37 
18 
28 
79 
30 
48 
11 
48 
14 
6 
4 
6 
3 
52 
27 
25 
II 
7 
6 
42 
21 
58 
4 
1 
24 
2 
51 



City 



NEW YORK— Continued 



I 

7 

31 

7 

9,304 



14 



Potsdam Village 

Poughkeepsie 

Poughkeepsie Town 

Pound Ridge Town 

Pulaski Village 

Putnam Valley Town 

Quogue Village 

Ramapo Town 

Red Hook Village 

Rensselaer 

Riverhead Town 

Rochester 

Rockville Centre Village 

Rome 

Rosendale Town 

Rotterdam Town 

Rouses Point Village 

Rye 

Rye Brook Village 

Sag Harbor Village 

Saint Johnsville Village 

Salamanca 

Salem Village 

Saltaire Village 

Sands Point Village 

Saranac Lake Village 

Saratoga Springs 

Saugerties Village 

Scarsdale Village 

Schenectady 

Schodack Town 

Schoharie Village 

Scotia Village 

Seneca Falls Village 

Shelter Island Town 

Sherburne Village 

Sherrill 

Sidney Village 

Silver Creek Village 

Skaneateles Village 

Sloatsburg Village 

Sodus Point Village 

Sodus Village 

Solvay Village 

Southampton Town 

Southampton Village 

South Glens Falls Village — 

South Nyack Village 

Southold Town 

Southport Town 

Spring Valley Village 

Stony Point Town 

Suffem Village 

Syracuse 

Tarrytown Village 

Tonawanda 

Tonawanda Town 

Troy 

Trumansburg Village 

Tuckahoe Village 

Tupper Lake Village 

Tuxedo Town 

Tuxedo Park Village 

Ulster Town 

Utica 

Vestal Town 

Walden Village 

Walton Village 

Wappingers Falls Village ..., 

Warsaw Village 

Warwick Town 

Warwick Village 

Washingtonville Village 

Waterford Town And Village 
Waterloo Village 



Total 

police 

employees 



Total 
officers 



18 

89 

81 

1 

1 

20 

10 

105 

2 

33 

85 

752 

63 

73 

2 

47 

1 

37 

22 

15 

3 

9 

1 

2 

19 

15 

68 

10 

49 

191 

7 

1 

14 

15 

8 

I 

4 
8 
6 
5 
8 
1 

2 

18 

110 

34 

6 

7 

54 

4 

55 

25 

27 

588 

38 

39 

153 

141 

2 

27 

13 

11 

8 

18 

174 

40 

12 

4 

7 

6 

12 

14 

9 

9 



15 
77 
71 

1 

I 
15 
10 
97 

2 
26 
67 
630 
53 
67 

2 



Total 
civilians 



3 

12 
10 



7 
18 
122 
10 
6 



37 
1 


10 


32 


5 


■>-> 




13 


2 


1 




9 




1 




7 




19 




13 


2 


60 


8 


9 


1 


44 


5 


147 


44 


6 
1 


1 


14 




12 


3 


8 








<t 




8 




5 


1 



7 
1 




? 




14 




86 


24 


25 




6 




7 




43 


11 


1 




48 




24 




24 




449 


139 


33 




33 




112 


41 


122 


19 


23 




11 




8 




4 




14 




167 





273 



Table 72.— Number of Full-time Law Enforcement Employees, Cities, October 31, 1988— Continued 



City 



NEW YORK— Continued 



Watertown 

Watervliet 

Walkins Glen Village 

Waveriy Village 

Webb Town 

Webster Town And Village 

Wellsville Village 

Westfield Village 

Westhampton Beach Village 

West Seneca Town 

Wheatland Town 

Whitehall Village 

White Plains 

Whitesboro Village 

Whiteslown Town 

Wolcott Village 

Woodridge Village 

Woodstock Town 

Yonkers 

Yorktown 

Yorkville Village 



NORTH CAROLINA 



Aberdeen 

Ahoskie 

Albemarle 

Alexander Mills ... 

Andrews 

Angier 

Apex 

Archdale 

Arlington 

Asheboro 

Asheville 

Atlantic Beach 

Aulander 

Ayden 

Bailey 

Banner Elk 

Battleboro 

Beach Mountain .... 

Beaufort 

Belhaven 

Belmont 

Benson 

Bessemer City 

Bethel 

Beulaville 

Biscoe 

Black Creek 

Black Mountain 

Bladenboro 

Blowing Rock 

Boiling Springs Lake 

Boone 

Boonville 

Brevard 

Broadway 

Brookford 

Bryson City 

Bunn 

Burgaw 

Burlington 

Butner 

Candor 

Canton 

Cape Carteret 

Carolina Beach 

Carrboro 

Carthage 

Cary 

Catawba 

Chadboura 

Chapel Hill 



Total 

police 

employees 



85 

28 

9 

13 

4 

41 

14 

5 

14 

71 

3 

3 

247 

7 

3 

1 

1 

8 

629 

56 

2 



18 

23 

41 

1 

5 

8 

16 

12 

1 

47 

166 

31 

2 

14 
4 
4 
2 

13 

14 

9 

24 

14 

14 

7 

3 

5 

2 

13 

4 

10 

4 

34 

2 

22 

3 

1 

5 

2 

5 

114 

44 

4 

18 

4 

21 

26 

4 

51 

10 



101 



Total 
ofTicers 



77 

28 

5 

13 

4 

30 

11 

5 

14 

67 

3 

3 

200 

7 

3 

1 

1 

8 

531 

49 

2 



17 
18 

37 
1 
5 
6 

11 

12 
1 

43 
128 

25 
2 

10 
4 
4 
2 

10 

14 
I 

II 

10 

10 
6 
3 
5 
2 
9 
4 
6 
4 

33 
2 

19 
3 
1 
5 
2 
5 
89 
38 

4 

15 

4 
15 
24 

4 
40 

9 

6 
83 



Total 
civilians 



47 



City 



NORTH CAROLINA— Continued 



Charlotte 

Cherry ville . . . 

China Grove 

Claremont 

Clayton 

Clinton 

Coats 

Concord 

Conover 

Conway 

Cooleemee . . . 

Cornelius 

Cramerton . . . 

Creedmoor ... 

Dallas 

Davidson 

Denton 

Dobson 

Drexel 

Dunn 

Durham 

Eden . 

Edenton 

Elizabeth City 

Elizabethtown 

Elkin 

Ellerbe 

Elm City .... 

Elon College . 

Emerald Isle . 

Enfield 

Erwin 

Eureka 

Fair Bluff 

Fairmont 

Farmville 

Fayetteville . . . 
Forest City ... 

Foxfire 

Franklinton . . . 
Fuquay-Varina 

Gamer 

Gastonia 

Gibson 

Gibsonville 

Goldsboro 

Graham 

Granite Falls . 
Greensboro 

Greenville 

Grifton 

Hamlet 

Havelock 

Hazelwood 

Henderson . . . . 
Hendersonville 

Hertford 

Hickory 

Highlands 

High Point ... 
Hillsborough . . 
Holden Beach 
Holly Ridge .. 
Hope Mills ... 

Hudson 

Huntersvilte 
Indian Beach . 
Jacksonville ... 

Jefferson 

Jonesville 

Kannapolis 

Kenansville 

Kenly 

Kemersville 

Kill Devil Hills 



Total 

police 

employees 



23 



Total 
officers 



884 


681 


15 


13 


4 


4 


4 


4 


19 


14 


30 


23 


4 


4 


59 


47 


14 


14 


2 


2 


2 


2 


6 


6 


6 


6 


13 


9 


12 


9 


9 


6 


4 


4 


3 


3 


5 


5 


32 


25 


359 


286 


42 


39 


15 


15 


34 


27 


11 


10 


17 


14 


3 


3 


4 


4 


9 


8 


16 


12 


13 


9 


14 


10 


4 


4 


17 


10 


20 


16 


281 


213 


25 


21 


2 


2 


9 


5 


16 


11 


31 


28 


172 


139 


12 


9 


97 


75 


20 


18 


11 


11 


513 


404 


114 


92 


4 


4 


19 


16 


30 


22 


6 


6 


51 


45 


45 


35 


5 


5 


96 


73 


8 


8 


168 


154 


13 


12 


10 


5 


2 


2 


20 


14 


10 


9 


4 


4 


3 


3 


105 


84 


2 


2 


5 


5 


72 


64 


3 


3 


5 


5 


36 


29 



18 



23 



14 
5 



21 



274 



able 72.— Number of Full-time Law Enforcement Employees, Cities, October 31, 1988— Continued 



City 



NORTH CAROLINA— Continued 



ing 

ings Mountain — 

inston 

itty Hawk 

a Grange 

ake Lure 

ake Waccamaw 

andis 

aurcl Park 

aurinburg 

enoir 

ewiston 

exington 

iberty 

illington 

incolnton 

ocust 

on$ Beach 

.ongview 

■ouisburg 

-owell 

■ucama 

.umberton 

Madison 

4aiden 

4anteo 

/larion 

.lars Hill 

4arshville 

Matthews 

vlayodan 

vIcAdenville 

vlebane 

vliddlesex 

vlocksville 

vlonroe 

Viontreat 

Mooresville 

Morehead City ... 

Morganton 

MorrisviUe 

Mount Airy 

Mount Holly 

Mount Olive 

Murfreesboro 

Murphy 

Nags Head 

Nashville 

New Bern 

Newland 

Newport 

Newton 

North Wilkesboro 

Norwood 

Oakboro 

Old Fort 

Oxford 

Pembroke 

Pine Level 

Pilot Mountain ... 

Pinebluff 

Pinehurst 

Pine Knoll Shores 

Pinetops 

Pineville 

Pink Hill 

Pittsboro 

Plymouth 

Princeton 

Raeford 

Raleigh 

Ramseur 

Randleman 

Ranlo 

Red Springs 



Total 

police 

employees 



Total 
officers 



10 

31 

81 

9 

7 
2 
2 
4 

2 
30 
51 

2 
70 

7 

7 

23 

3 

14 

11 

7 

6 

4 

54 

15 

10 

4 

17 

5 

6 

20 

13 

4 

12 

3 

11 

60 

5 

26 

21 

65 

4 

36 

19 

15 

12 

9 

17 

7 

58 

4 

3 

33 

23 

5 

2 

3 

31 

12 

2 

9 

I 

17 

7 

7 

8 

1 

6 

15 

3 

15 

444 

6 

5 

5 

13 



Total 
civilians 



9 
24 
70 

8 

7 

2 

2 

4 

2 
26 
44 

1 
55 

7 

7 

19 

3 

10 

10 

7 

5 

4 

46 

10 
9 
4 

14 
5 
6 

15 
9 
4 
9 
3 

10 

56 
5 

22 

16 

50 
4 

33 

17 
9 



14 

6 
48 

4 

3 
25 
20 

5 

2 

3 
23 
9 
2 
8 
I 

13 
7 
4 
8 
1 
6 

II 
3 

12 

396 

6 

5 

5 

10 



City 



NORTH CAROLINA— Continued 



Reidsville 

Richlands 

Rich Square 

River Bend 

Roanoke Rapids . . 

Robbins 

Robbinsville 

Robersonville 

Rockingham 

Rocky Mount 

Rolesville 

Rose Hill 

Rowland 

Roxboro 

Rutherfordton .... 

Saint Pauls 

Salisbury 

Saluda 

Sanford 

Scotland Neck 

Seagrove 

Selma 

Shelby 

Siler City 

Smithfield 

Southern Pines ... 
Southern Shores .. 

Southport 

Sparta 

Spindale 

Spring Hope 

Spring Lake 

Spruce Pine 

Stantonsburg 

Star 

Statesville 

Stoneville 

Sugar Mountain . 
Sunset Beach .... 

Surf City 

Swansboro 

Sylva 

Tabor City 

Tarboro 

Taylorsville 

Thomasville 

Topsail Beach ... 
Trent Woods .... 

Troy 

Tryon 

Valdese 

Vass 

Wadesboro 

Wake Forest 

Wallace 

Walnut Cove .... 

Warrenlon 

Warsaw 

Washington 

Waxhaw 

Waynesviile 

Weaverville 

Weldon 

Wendell 

West Jefferson .. 
Whispering Pines 

Whitakers 

While Lake 

Whiteville 

Wilkesboro 

Williamston 

Wilmington 

Windsor 

Winston-Salem 
Winterville 



Total 

police 

employees 



39 
3 
1 

4 

37 

8 

4 

5 

28 

140 

3 

5 



Total 
officers 



36 
3 

1 
4 

28 
6 
4 
5 

23 

105 

3 

4 

4 



Total 
civilians 



28 


23 


10 


10 


10 


8 


70 


53 


2 


2 


58 


50 


13 


6 


20 


15 


54 


45 


16 


11 


29 


22 


26 


20 


7 


7 


10 


7 


5 


5 


10 


10 


4 


4 


20 


13 


13 


11 


2 


2 


4 


4 


65 


55 


4 


4 


6 


6 


5 


5 


5 


5 


4 


4 


7 


7 


9 


5 


32 


23 


7 


7 


48 


42 


4 


4 


3 


3 


8 


8 


9 


7 


11 


11 


4 


4 


22 


17 


18 


14 


14 


13 


4 


4 


5 


4 


12 


9 


25 


22 


4 


4 


22 


21 


6 


6 


8 


5 


11 


7 


4 


4 


6 


6 


3 


2 


4 


4 


24 


17 


12 


11 


13 


12 


161 


122 


6 


6 


437 


337 


5 


5 



5 

35 



2 
17 



10 



7 

1 

1 

39 



100 



275 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1988 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



NORTH CAROLINA— Continued 



Woodfin 

Woodland 

Wrightsville Beach 

Yadkinville 

Zebulon 



NORTH DAKOTA 



Bismarck 

Bowman 

Carrington .. 
Devils Lake 
Dickinson ... 

Fargo 

Grafton 

Grand Forks 

Harvey 

Hazen 

Hillsboro 

Jamestown . . 

Langdon 

Lisbon 

Mandan 

Mayville 

Minot 

Rugby 

Valley City . 
Wahpeton . . . 
Watford City 
West Fargo . 
Williston . . . . 



OHIO 



Ada 

Akron 

Alliance 

Amberley 

Amherst 

Ansonia 

Archbold 

Arlington Heights . . 

Ashland 

Ashtabula 

Athens 

Aurora 

Bainbridge Township 

Barberton 

Bath Township 

Bay Village 

Bazetta Township . . , 

Beavercreek 

Beaver Township 

Bedford 

Bedford Heights 

Bellaire 



Bellbrook 

Bellevue 

Bellville 

Belpre 

Berea 

Bethel 

Bexley 

Blanchester 

Blue Ash 

Boardman Township 

Bowling Green 

Bradford 

Brady Lake 

Brecksville 

Brewster 

Briarwood Beach . . . 

Bridgeport 

Broadview Heights . 
Brookfield Township 



OHIO— Continued 



87 

3 

4 

15 

36 

104 

11 

86 

3 

5 

2 

31 

3 

2 

29 

2 

69 

4 

14 

18 

4 

18 

26 



9 

485 

38 

16 

18 

2 

7 

7 

37 

32 

26 

20 

15 

44 

18 

23 

9 

39 

9 

32 

40 

13 

9 

15 

1 

15 

37 

3 

31 

II 

39 

46 

39 

3 

I 

25 

3 

3 

7 

20 

10 



1 




20 


5 


5 




11 


1 


63 


24 


3 




4 




13 


2 


27 


9 


82 


22 


10 


1 


63 


23 


3 




5 




-> 




28 


3 


3 




7 




22 


7 


•) 




53 


16 


4 




11 


3 


12 


6 


4 




13 


5 


22 


4 


6 


3 


436 


49 


35 


3 


15 


1 


13 


5 


7 




7 




6 


1 


28 


9 


28 


4 


21 


5 


15 


5 


13 


2 


43 


1 


14 


4 


22 


1 


7 


2 


32 


7 


5 


4 


26 


6 


31 


9 


13 




6 


3 


12 
1 


3 


10 


5 


29 


8 


3 




23 


8 


5 


6 


31 


8 


36 


10 


29 


10 


3 




1 




21 


4 


3 




3 





Brooklyn 

Brooklyn Heights ... 

Brook Park 

Brookville 

Brunswick 

Bryan 

Bucyrus 

Cadiz 

Cambridge 

Canal Fulton 

Canfield 

Canton 

Carey 

Carlisle 

Celina 

Centerville 

Chagrin Falls 

Chardon 

Chillicothe 

Cincinnati 

Clearcreek Township 

Cleveland 

Cleves 

Clinton Township .. 

Clyde 

College Comer 

Columbiana 

Columbus 

Conneaut 

Copley 

Cortland 

Covington 

Crestline 

Cuyahoga Falls 

Dalton 

Dayton 

Defiance 

Delaware 

Delhi Township 

Delta 

Dennison 

Dover 

Doylestown 

Dublin 

East Cleveland 

Eastlake 

East Palestine 

Eaton 

Elmwood Place 

Elyria 

Englewood 

Euclid 

Fairbom 

Fairfax 

Fairfield 

Fairfield Township . 

Fairlawn 

Fairport Harbor 

Fairview Park 

Fayette 

Forest Park 

Fort Shawnee 

Franklin 



Fremont 

Fulton 

Gahanna 

Gabon 

Gallipolis 

Garfield Heights 

Gates Mills 

Geneva 

Genoa 

Germantown 

German Township 
Gibsonburg 



33 


27 


11 


11 


41 


37 


14 


9 


33 


25 


19 


15 


24 


19 


5 


5 


31 


25 


8 


4 


15 


10 


176 


163 


10 


7 


6 


6 


18 


13 


30 


23 


18 


11 


13 


8 


53 


48 


1.135 


919 


7 


7 


2.074 


1.749 


6 


6 


12 


9 


15 


11 


12 


8 


1.670 


1,335 


22 


18 


16 


11 


4 


4 


5 


5 


12 


8 


81 


69 


584 


481 


29 


25 


36 


28 


23 


20 


5 


5 


5 


5 


22 


19 


6 


5 


27 


25 


76 


62 


37 


30 


9 


6 


16 


11 


5 


5 


78 


68 


17 


16 


126 


92 


48 


36 


9 


9 


48 


40 


4 


4 


18 


14 


6 


6 


29 


27 


3 


3 


34 


29 


3 


3 


20 


15 


36 


32 


34 


29 


22 


18 


17 


14 


60 


49 


15 


12 


13 


9 


4 


4 


12 


7 


4 


4 


4 


4 



276 



able 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1988 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



OHIO— Continued 



irard 

ilendale 

olf Manor 

oshen Township 

iranville 

ireenfield 

ireenhills 

ireenville 

Jrove City 

lamilton 



larrison 

lartviUe 

lilliard 

lillsboro 

lowland 

<iubbard Township 

Budson 

i^iunting Valley 

luron 

ndependence 

ndian Hill 

ronton 

ackson 

ackson Township . 

ohnstown 

Cent 

Cettermg 

Cirkland Hills 

I jkemore 

I ,ake Township 

-akewood 

-ancaster 

jwrence Township 

-ebanon 

-eipsic 

I -exington 

I -iberty Township 

Lima 

Lisbon 

Lockland 

Logan 

Lordstown 

Loudonville 

Louisville 

Loveland 

Lyndhurst 

Madeira 

Madison Township (Lake County) 

Madison Township (Montgomery County) 

Maple Heights 

Mariemont 

Marietta 

Marion 

Marlboro Township 

Marysville 

Mason 

Massillon 

Mayfield Heights .. 
Mayfield Village ... 

McConnelsville 

Mentor 

Mentor-on-the-Lake 

Miamisburg 

Miami Township .. 
Middleburg Heights 
Middlefield Village 

Middletown 

Milford 

Minerva 

Mingo Junction ... 

Mogadore 

Monroe 

Montgomery 

Montpelier 

Moraine 



24 

7 
10 

7 

9 
II 

7 

29 

40 

117 

15 

4 
28 
17 
19 
10 
12 
12 
15 
27 
22 
19 
18 
25 

8 
45 
99 
13 

5 

10 
95 
61 

4 
24 

2 

10 

25 

106 

9 
15 
18 
13 
10 
14 
12 
34 
10 
16 
23 
55 
10 
36 
39 

8 
14 
16 
52 
42 
19 

5 
77 
12 
35 
19 
33 
11 
111 
14 
11 
11 

7 

4 
18 

7 
30 



20 

7 

6 

6 

6 
10 

7 

22 

30 

100 

14 

4 
23 
13 
14 

6 

9 
11 
11 
22 
17 
14 
13 
22 

4 
34 
80 
12 

4 
10 
75 
47 

4 
18 

2 

6 
23 
81 

5 
15 
13 

9 

6 
11 
11 
28 

9 
14 
16 
46 

9 
27 
35 

8 

10 
15 
49 
34 
14 

4 
56 

8 
28 
18 
28 

7 
77 
11 

8 

9 

7 



OHIO— Continued 

Mount Sterling 

Munroe Falls 

Napoleon 

Navarre 

Newark 

New Boston 

Newcomerslown 

New Lebanon 

New Lexington 

New Madison 

New Philadelphia 

Newton 

Niles 

North Baltimore 

North Canton 

North KingsviUe 

North Olmsted 

North Ridgeville 

North Royalton 

Northwood 

Norton 

Norwalk 

Norwood 

Oak Harbor 

Oakwood 

Oakwood Village 

Oberlin 

Olmsted Falls 

Ontario 

Oregon 

Orrville 

Ottawa 

Ottawa Hills 

Oxford 

Parma 

Pepper Pike 

Perkins Township 

Perrysburg 

Perry Township 

Pierce Township 

Piqua 

Poland Township 

Port Clinton 

Portsmouth 

Randolph Township 

Reading 

Reynoldsburg 

Richfield 

Richmond Heights 

Rittman 

Riverside 

Rossford 

Saint Bernard 

Salem 

Sandusky 

Sebring 

Seven Hills 

Shaker Heights 

Sharonville 

Sheffield Lake 

Shelby 

Silverton 

Smith Township 

Solon 

South Euclid 

South Russell 

Spencerville 

Springboro 

Springdale 

Springfield 

Springfield Township 

Steubenville 

Stow 

Streetsboro 

Strongsville 



4 

7 
17 

4 
67 
13 
11 

7 
10 

1 
22 

4 
34 

5 
26 

4 
54 
32 
30 
18 
18 
26 
48 

4 
34 
17 
17 
12 
18 
43 
18 

6 
14 
29 
116 
18 
14 
24 
19 
11 
27 

6 
17 
37 
12 
21 
45 
14 
25 
12 

5 

14 
16 
19 
52 

8 

16 
96 
36 
11 
18 
13 

4 
42 
42 

7 

4 
10 
30 
128 
41 
44 
39 
16 
47 



4 

6 
13 

4 
61 
12 

6 

7 

6 

1 
18 

4 
29 

5 
20 

4 
43 
26 
24 
13 
13 
20 
48 

4 
28 
13 
13 

7 

12 
40 
14 

6 
10 
20 
94 
13 
10 
18 
15 
10 
25 

6 
12 
34 
10 
17 
34 
10 
19 

8 

4 
13 
16 
18 
44 

5 

IS 
64 
29 

9 
15 
10 

4 
33 
36 

7 

4 

7 
26 
102 
28 
38 
26 
10 
38 



277 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1988 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



OHIO— Continued 

Sunbury 

Swanlon 

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 

Wadsworth 

Waile Hill 

Walbridge 

Walton Hills 

Wapakoneta 

Warren 

Warrensville Heights 

Warrensville Township 

Washington Court House 

Waterville 

Wauseon 

Waverly 

Waynesville 

Wellington 

Wellston 

Wellsville 

West Carrolllon 

Westerville 

West Jefferson 

Westlake 

Weston 

Whitehall 

Wickliffe 

Willard 

Willoughby 

Willoughby Hills 

Wilmington 

Windham 

Woodlawn 

Woodsfield 

Woodville 

Wooster 

Worthington 

Wyoming 

Xenia 

Yellow Springs 

Youngstown 

Zanesville 

OKLAHOMA 

Ada 

Afton 

Altus 

Alva 

Anadarko 

Antlers 

Apache 



4 

4 

32 

29 

30 

6 

40 

14 

806 

10 

12 

24 

37 

25 

9 

3 

6 

39 

35 

39 

54 

9 

22 

10 

35 

26 

21 

26 

5 

8 

11 

16 

88 

43 

4 

21 

9 

10 

15 

2 

5 
10 

5 
28 
57 
10 
39 

1 
47 
34 
15 
47 
20 
19 

5 
15 

5 

5 
40 
36 
17 
49 
12 
215 
72 



4 

4 

27 

25 

20 

5 

28 

10 

749 

10 

7 

21 

31 

18 

8 

3 

5 

29 

27 

30 

47 

8 

18 

10 

26 

20 

17 

21 

5 

4 

8 

12 

70 

38 

4 

15 

8 

9 

11 

2 

3 

6 

5 

22 

46 

7 

34 

1 

38 

30 

12 

36 

14 

17 

4 

14 

5 

4 

35 

29 

13 

39 

8 

187 

55 



OKLAHOMA— Continued 

Ardmore 

Arkoma 

Atoka 

Bamsdall 

Bartlesville 

Beggs 

Bethany 

Bixby 

Blackwell 

Blanchard 

Bristow 

Broken Arrow 

Broken Bow 

Bums Flat 

Carnegie 

Catoosa 

Chandler 

Checotah 

Chelsea 

Cherokee 

Chickasha 

Choctaw 

Chouteau 

Ciaremore 

Clayton 

Cleveland 

Clinton 

Coalgate 

Collinsville 

Comanche 

Commerce 

Coweta 

Coyle 

Crescent 

Cushing 

Davis 

Del City 

Dewey 

Drumright 

Duncan 

Durant 

Edmond 

Elk City 

Elmore City 

El Reno 

Enid 

Erick 

Eufaula 

Fairfax 

Fairview 

Forest Park 

Fort Gibson 

Frederick 

Geary 

Glenpool 

Goodwell 

Gore 

Granite 

Grove 

Guthrie 

Guymon 

Harrah 

Hartshome 

Haskell 

Healdton 

Heavener 

Hennessey 

Henryetta 

Hobart 

Holdenville 

Hollis 

Hominy 

Hugo 

Hulbert 

Idabel 



278 



Table 72.— Number of Full-time Law Enforcement Employees, Cities, October 31, 1988— Continued 



City 



OKLAHOMA— Continued 



Inola 

Jay 

Jenks 

Jones 

Kingfisher 

Kingston 

Konawa 

Krebs 

Laverne 

Lawlon 

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 

Okemah 

Oklahoma City 

Okmulgee 

Oologah 

Owasso 

Pauls Valley . . 

Pawhuska 

Pawnee 

Perkins 

Perrj- 

Piedmont 

Pocola 

Ponca City ... 

Porum 

Poteau 

Prague 

Pryor 

Purcell 

Quinton 

Ringling 

Roland 

Rush Springs 

Salina 

Sallisaw 

Sand Springs 

Sapulpa 

Sayre 

Seminole 

Shatluck 

Shawnee 

Shidler 

Skiatook 

Snyder 

Spencer 



Total 

police 

employees 



Total 
officers 



4 
9 

16 
6 
9 
4 

10 

2 

5 

175 

15 
7 



10 

9 

6 
10 

4 

5 
43 

8 

2 

32 

123 

2 
61 

3 

5 
89 
19 
10 

5 

19 

5 

13 
127 

6 
2 

6 

8 

983 

32 

3 

24 

19 

14 

5 

4 

17 

5 

8 

59 

2 

19 

6 

24 

22 

10 

3 

7 

4 

3 

16 

38 

48 

7 

19 
6 
62 
1 
14 
3 
5 



Total 
civilians 



4 
5 

12 
5 
7 
4 
6 
2 
2 
136 
8 
3 
4 



46 

3 

4 
73 
14 

6 

5 
15 

4 

9 
99 

6 

2 

2 

4 

796 

25 
2 

17 

13 
9 
5 
4 

12 
3 
4 

54 
2 

15 
4 

19 

15 
5 
2 
4 
4 
2 

13 
28 
34 

4 
13 

2 

46 
1 

9 
3 
4 



Citv 



OKLAHOMA— Continued 



Spiro 

Stigler 

Stillwater . . . 

Stilwell 

Stratford . . . . 

Stroud 

Sulphur 

Tahlequah 

Talihma 

Tecumseh . . , 
Tishomingo 
Tonkawa ... 

Tulsa 

Tuttle 

Vallianl .... 

Vian 

Village 

Vinita 

Wagoner . . . 

Walters . . . . 

Warner — 

Warr Acres 

Watonga ... 

Waukomis 

Waurika 

Waynoka . . . 

Weatherford 

Weleetka . . . 

Westville . . . 

Wetumka 

Wewoka 

Wilburton .. 

Wilson 

Woodward 

Wright City 

Wynnewood 

Yale 

Yukon 



4 
4 
187 
7 
1 
7 
6 
5 



OREGON 



Albany 

Ashland 

Astoria 

Athena 

Aumsville 

.\urora 

Baker 

Bandon 

Beaverton 

Bend 

Boardman 

Brookings 

Bums 

Butte Falls .... 

Canby 

Cannon Beach 
Canyonville ... 

Carlton 

Central Point 
Clatskanie 

Coos Bay 

Coquille 

Cornelius — 

Corvallis 

Cottage Grove 

Culver 

Dallas 

Dundee 

Eagle Point .. 

Enterprise 

Eugene 

Florence 

Forest Grove 

Garibaldi — 



Total 

police 

employees 



Total 
officers 



10 
67 
13 

4 
11 
13 
28 

7 
15 

13 

10 

837 

8 

8 

5 

25 

17 

17 

5 

2 

25 

11 

2 

6 

4 

22 

3 

7 

5 

15 

9 

7 

26 

2 

10 

7 

29 



44 

31 

24 

2 

4 

1 

16 

7 

68 

43 

3 

14 
9 



5 

4 

1 

17 

6 

33 

II 

10 

69 

21 

2 

15 

2 

6 

4 

259 

15 

24 

2 



Total 
civilians 



5 

6 

50 
9 
4 

7 

8 
22 

4 
10 

9 

6 
689 

5 

4 

4 
20 
10 
13 

4 
2 

19 
8 
2 
3 
4 

15 
3 
3 
5 

II 
5 
4 

19 
2 
5 
3 

20 



3 
4 
17 
4 



4 
5 

6 

3 

5 
4 
4 
148 
3 
4 
I 
5 
7 
4 
1 



36 

23 


8 
8 


17 


7 


7 




3 
1 


1 


II 


5 


6 


1 


54 


14 


34 


9 


3 




8 


6 


5 
1 


4 


13 


5 


4 


1 


3 
1 


1 


12 


5 


5 


1 


23 


10 


7 


4 


9 


1 


40 


29 


14 


7 


14 


1 


7 




5 


1 


4 




140 


119 


9 


6 


18 


6 


7 





279 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1988 — Continued 



City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
olTicers 


Total 
civilians 


OREGON— Continued 

Gearhart 


2 

2 

17 

5 

1 

38 

95 

3 

22 

42 

2 

11 

9 

2 

4 

2 

8 

10 
16 
2 

39 

26 

61 

5 

25 

22 

6 

1 

25 

96 

2 

12 

34 

9 

10 

4 

14 

9 

29 

20 

20 

1 

6 

2 

12 

26 

30 

31 

7 

4 

3 

1,063 

3 

2 

18 

6 

18 

17 

3 

5 

37 

20 

205 

9 

6 

21 

2 

3 

5 

10 

4 

72 

3 

12 
18 


2 

2 

12 

5 

1 

27 

69 

3 

15 
37 
2 
9 
8 
2 
4 
2 
4 
6 
15 
2 
31 
16 
38 
5 

19 

17 

5 

1 

20 

68 

2 

7 

24 

8 

9 

4 

8 

5 

18 

17 

14 

1 

6 

2 

6 

17 

24 

22 

6 

3 

2 

758 

3 

2 

10 

5 

14 

12 

3 

5 

32 

15 

134 

7 

4 

15 

2 

3 

5 

9 

3 

50 

3 

10 
13 




OREGON— Continued 

Talent 


4 
18 
47 
10 
11 
10 
19 
2 
7 

13 

2 

6 

4 

4 

6 

21 

1 

12 

33 

104 
3 
3 
2 
2 
4 
2 

18 

4 

5 

186 

88 

13 

11 
5 
3 
3 
5 
1 

15 
7 
1 
7 

16 
5 
5 
9 

24 
4 
6 
2 
4 
3 

12 

22 
7 
5 
1 

12 
1 

16 
1 

83 
2 
1 
7 
1 

15 

41 

149 
18 
2 


4 
16 
36 
8 
6 
9 
17 
2 
6 
8 
2 
5 
4 
3 
5 

18 

1 

7 

21 

89 
3 
3 
2 
2 
4 
2 

18 

4 

4 

166 

70 

12 

11 
5 
3 
2 
5 
1 

11 
6 
1 
6 

14 
5 
5 
8 

20 
4 
6 
2 
4 
3 
8 

17 
6 
5 
1 
9 
1 

13 
I 

68 
2 
1 
6 
1 

10 

33 

1 

125 

17 
2 








The Dalles 


2 


Gladstone 


5 


Tigard 


1 ( 


Gold Beach 


Tillamook 


2 


Gold Hill 






5 


Grants Pass 


11 
26 




1 


Gresham 


Tualatin 


2 










7 
5 




1 


Hillsboro 




5 


Mines 


Union 






2 

1 


Vale 


1 








Irrigon 


Waldport 


1 






Warrenlon 










3 




4 
4 

1 






Junction City 


Winston 


5 






12 


King City 


PENNSYLVANIA 






8 

10 
23 

6 

5 

1 

5 
28 










15 


Lakeview 






Lebanon 






Lmcoln City 


Albion 










Malin 








Aleppo Township 




Medford 






Merrill 


Allegheny Township (Blair County) 
Allegheny Township (Westmoreland County) 
Allentown 






5 

10 
1 
1 


1 




20 


Molalla 




18 






1 


Mount Angel 


Anibridge 




Myrtle Creek 


6 
4 
11 
3 
6 






Myrtle Point 










1 


Newport 


Archbald 




Nonh Bend 






North Plains 




4 






Ashland 


1 


Oakland 




Ashley 






6 
9 
6 
9 

1 

1 

1 

305 


1 


Ontario 




2 


Oregon City 






Pendleton 






Philomath 




1 


Phoenix 




4 


Pilot Rock 






Portland 












Prairie City 


8 
1 

4 
5 








Bath 




Rainier 




4 






5 


Reedsport 




1 








Rogue River 


Belle Acres 






5 

5 

71 

2 

2 
6 

I 

1 

22 

2 
5 




3 


Saint Helens 






Salem 




3 


Sandy 










15 


Seaside 






Shady Cove 






Sheridan 




1 




Berlin 




Silverton 




5 




Bethel Park 


8 


Springfield 






Stanfield 




24 


Stayton 




1 




Big Beaver 





280 



able 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1988 — Continued 



City 



Total 

police 

employees 



Total 
ofTicers 



Total 
civilians 



Citv 



Total 

police 
employees 



Total 

officers 



Total 
civilians 



PENNSYLVANIA— Continued 



irdsboro 

irmingham Township 

lair Township 

lairsville 

lakely 

lawnox 

iloomsburg 

ilossburg 

loyertown 

irackenridge 

traddock 

traddock Hills 

iradford 

iradford Township 

irentwood 

triar Creek Township 

tridgeport 

Iridgeville , 

Indgewater , 

trighton Township .... 

Instol , 

(ristol Township 

irockway , 



Irookhaven 

Jrookville 

Jrownsville 

ir> n Athyn 

Juckmgham Township 

iurgettstown 

iumham 

Jushkili Township 

3utler 

Sutler Township (Butler County) 
3utler Township (Schuykill County) 
Caernarvon Township (Berks County) 
Caernarvon Township (Lancaster County) 

California 

Cain Township 

Cambria Township 

Cambridge Springs 

Camp Hill 

Canonsburg 

Canton 

Carlisle 

Carmichaels 

Carnegie 

Carroll Township (Washington County) 

Carroll Township (York County) 

Carrolltown 

Castle Shannon 

Catasauqua 

Catawissa 

Cecil Township 

Center Township 

Cenlerville 

Central City 

Centralia 

Chalfont 

Chambersburg 

Charleroi 

Chanters Township 

Cheltenham Township 

Chester 

Chester Hill 

Chester Township 

Cheswick 

Chippewa Townfihip 

Churchill 

Clarion 

Clark 

Clarks Summit 

Clearfield 

Cleona 

Clifton Heights 

Clinton Township 



4 

2 
2 
5 
6 

4 

15 

3 

8 

5 

5 

3 

21 

5 

17 

-t 
1 1 
II 

T 

4 
14 
76 
2 
7 
6 
8 
4 
7 
I 

6 

3 

25 

21 

3 

3 

1 

8 

12 

1 

2 
9 
15 
2 

30 
I 

16 
3 
3 
I 

II 
9 
3 
9 
9 
4 
1 
1 
1 

27 

II 
4 

86 
107 
1 
7 
3 
6 

10 
8 
I 
6 



PENNSYLVANIA— Continued 



Coaldale 

Coalport 

Coal Township 

Coalesville 

Cochranton 

Colebrookdale Township 

Coilegevilie 

Collier Township 

Collingdale 

Columbia 

Colwyn 

Conemaugh Township 

Conewago Township 

Conewango Township 

Conyngham 

Conyngham Township (Columbia Counly) 
Conyngham Township (Luzerne County) 

Connellsville 

Conshohocken 

Conway 

Coolbaugh Township 

Coppersburg 

Coplay 

Coraopolis 

Cornwall 

Corry 

Coudersport 

Covington Township 

Crafton 

Cranberry Township 

Crescent Township 

Cresson 

Cressona 

Cresson Township 

Cumberland Township (Adams County) .. 
Cumberland Township (Greene County) 

Cumru Township 

Curwensville 

Dallas 

Dallas Township 

Dalton 

Danville 

Darby 

Darby Township 

Daugherty Township 

Dauphin 

Denver 

Derry 

Derry Township (Dauphin County) 

Derry Township (MifTlin County) 

Dickson City 

Dillsburg 

Donegal Township 

Donora 

Dormont 

Douglass Township (Berks County) 

Douglass Township (Montgomery County) 

Downingtown 

Doylestown 

Doylestown Township 

Du Bois 

Dubotstown 

Dunbar 

Duncansville 

Dunmore 

Dupont 

Duquesne 

Duryea 

East Berlin 

East Bethlehem Township 

East Brandywme Township 

East Buffalo Township 

East Cocalico Township 

East Conemaugh 

East Deer Township 



2 

1 

16 

23 

1 

5 

5 

8 

10 

15 

4 

4 

4 

4 

2 

1 

1 

18 

12 

3 

6 

4 

4 

14 

2 

16 

2 

1 

13 

15 

I 

2 

2 

2 

2 

2 

20 

3 

4 

10 

1 

9 

15 

10 

1 

1 

1 

2 

30 

6 

9 

4 

1 

6 

19 

3 

7 

14 

19 

18 

14 

1 

1 

1 

20 

2 

15 

3 

1 

3 

6 

6 

10 

2 

2 



2 
I 

12 

17 
1 
5 
5 
8 
9 

11 
3 
4 
4 
4 
2 
1 
I 

16 

11 
3 
5 
4 
4 

10 
2 

12 
2 
1 
9 

13 
1 
2 
2 
2 
2 
2 

18 
3 
4 
6 
1 
8 

13 

10 
1 
1 
1 
2 

24 
6 
9 
4 
1 
6 

13 
3 
6 

12 

15 

15 
9 
1 
1 
1 

19 
2 

15 
3 
1 
3 
6 
6 

10 
2 
2 



281 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1988 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



PENNSYLVANIA— Continued 



East Earl Township 

East Frankim Township 

East Hempfield Township 

East Lampeter Township 

East Lansdowne 

East Norriton Township 

Easton 

East Pennsboro Township 

East Pikeland Township 

East Rockhill Township 

East Stroudsburg 

East Taylor Township 

Easttown Township 

East Washington 

East Whiteland Township 

Ebensburg 

Economy 

Eddystone 

Edgewood 

Edgeworth 

Edinboro 

Edwardville 

Elizabeth 

Elizabethlown 

Elizabeth Township 

Elkland 

Ellwood City 

Emmaus 

Emporium 

Emsworth 

Ephrata 

Ephrata Township 

Erie 

Etna 

Everett 

Everson 

Exeter 

Exeter Township (Berks County) ... 
Exeter Township (Luzerne County) 

Fairchance 

Fairview 

Fairview Township 

Fallowfield Township 

Falls Creek 

Falls Township 

Farrell 

Fawn Township 

Fell Township 

Ferguson Township 

Femdale 

Findlay Township 

Fleetwood 

Folcroft 

Ford City 

Forest City 

Forks Township 

Forty Fort 

Forward Township 

Foster Township 

Fountain Hill 

Fox Chapel 

Frackville 

Franconia Township 

Franklin 

Franklin Park 

Frankim Township (Beaver County) 
Franklin Township (Carbon County) 

Freedom-Greenfield Township 

Freeland 

Freemansburg 

Freeport 

Galeton 

Gallitzin Township 

Geistown 

German Township 



I 
13 
13 

2 

17 

20 
3 
3 

18 
4 
215 
9 
4 
1 
6 

16 
2 
6 
1 

13 
3 
1 

55 

15 
3 
2 
9 
2 

12 
5 
9 
4 
2 
9 
7 
4 
4 
8 

11 
6 
6 

23 
6 
I 
3 
2 
4 
2 
2 
1 
1 
3 
1 



-) 




17 


1 


18 


2 


3 




20 


3 


46 


8 


12 


1 


4 




•> 




II 


1 


4 




13 


1 


? 




11 


2 


s 




6 




3 


1 


7 


1 


S 




7 


1 


8 




1 




11 


2 


12 


1 


? 




13 


4 


14 


6 


3 




3 




16 


2 


4 




192 


23 


7 


2 


2 
1 


2 


4 


2 


15 


1 


■> 




2 
1 


4 


12 


1 


3 




1 




47 


8 


13 


2 


3 




■) 




Q 




7 




8 


4 


5 




9 




4 




? 




9 




6 


1 


4 




4 




7 


1 


1 1 




6 




6 




17 


6 


6 




1 




3 




■> 




4 




? 




■) 




1 




1 




3 









PENNSYLVANIA— Continued 



Gettysburg 

Girard 

Glassport 

Glenolden 

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 

Heidelberg Township (Berks County) .. 
Heidelberg Township (Lebanon County) 

Hellertown 

Hemlock Township 

Hempfield Township 

Hermitage 

Highspire 

Hilltown Township 

Hollidaysburg 

Homer City 

Homestead 

Honesdale 

Hooversville 

Hopewell Township 

Horsham Township 

Hughesville 

Hummelstown 

Huntingdon 

Independence Township 

Indiana 

Indiana Township 

Industry 

Ingram 

Irwin 

Jackson Township 

Jamestown 

Jeannette 

Jefferson 

Jefferson Township 

Jenkins Township 

Jenkintown 

Jenner Township 

Jermyn 

Jersey Shore 

Jessup 

Jim Thorpe 

Johnsonburg 

Johnstown 

Kane 

Kennedy Township 

Kennett Square 

Kidder Township 

Kilbuck Township 

Kingston 

Kingston Township 

Kittanning 

Kline Township 



16 

2 

5 

9 

5 

3 

35 

II 

12 

9 

2 

8 

16 

17 

20 

16 

4 

4 

202 

17 

2 

1 

16 

26 

73 

23 

2 

2 

1 
1 

10 
1 
7 

29 
5 

14 

10 
1 

12 
7 
1 

10 

42 
4 
6 

13 
1 

29 
7 
1 
6 
4 
7 
1 

16 

12 
2 
2 

14 
2 
2 
7 
2 
4 
5 

40 
6 

10 
9 
6 
1 

23 
6 



13 

2 

5 

8 

5 

3 

29 

10 

II 

9 

2 

7 

16 

16 

18 

12 

4 

4 

160 

13 

2 

1 

12 

19 

60 

21 

2 

2 

1 

I 

9 
1 
6 
24 
5 

12 

5 

1 

8 

6 

1 

10 

36 

4 

6 

11 

1 

21 

7 

1 

6 

4 

7 

1 

15 

12 

2 

2 

13 

2 

2 

6 

2 

4 

4 

27 

6 

10 
8 
6 
1 
22 
6 



282 



Table 72.— Number of Full-time Law Enforcement Employees, Cities, October 31, 1988— Continued 



City 



PENNSYLVANIA— Continued 



Kulpmont 

Kutzlown 

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 

Lewistown 

Ligonier 

Ligonier Township 

Lilly 

Limerick Township 

Linesville 

Lititz 

Littlestown 

Lock Haven 

Logan Township 

Lower Allen Township 

Lower Alsace Township 

Lower Burrell 

Lower Chichester Township 

Lower Gwynedd Township 

Lower Makefield Township 

Lower Merion Township 

Lower Moreland Township 

Lower Paxlon Township 

Lower Pottsgrove Township 

Lower Providence Township 

Lower Salford Township 

Lower Saucon Township 

Lower Southampton 

Lower Swatara Township 

Lower Yoder Township 

Luzerne 

Luzerne Township 

Lykens 

Macungie 

Mahanoy City 

Mahoning Township (Carbon County) . 

Mahoning Township (Montour County) 

Malvern 

Manheim 

Mjnheim Township 

Manor Township 

Mansfield 

Marcus Hook 

Marietta 

Marlborough Township 

Marple Township 

Mars 

Martinsburg 

Marysville 

M asontown 

Matamoras 

Mayfield 

McAdoo 

McCandless 

McConnellsburg 

McDonald 

McKeesport 



Total 

police 

employees 



Total 
ofTicers 



2 
129 

26 

20 
4 
4 

13 
3 
7 
8 

46 
3 
4 
4 
9 
6 
2 
6 
7 

21 



1 

9 

2 

8 

5 

13 
19 
20 

7 
13 

6 
18 
27 
154 
26 
50 

8 
30 
II 
12 
26 
II 

4 

3 
I 

2 

3 
7 
3 
5 
7 
6 

50 
14 
2 

5 
3 
5 
39 
2 
1 
3 



Total 
civilians 



4 

7 

2 

2 

118 

20 

16 

4 

4 
11 

3 

6 

8 
39 

3 

4 

4 

7 

6 

2 

6 

7 
15 

2 

2 

1 

7 

2 

7 

5 

12 
14 
19 

7 
13 

4 
15 
24 
127 
21 
44 

7 
24 
10 

9 
23 
10 

4 

3 

1 

2 

3 
6 
3 
5 
6 
6 

37 

13 
2 
4 
2 
4 

31 
2 
1 
3 
8 
2 
1 
2 

25 
2 
3 

49 



City 



PENNSYLVANIA— Continued 



McKees Rocks 

McSherrystown 

Meadville 

Mechanicsburg 

Mechanicsville 

Media 

Menallen Township 

Mercer 

Mercersburg 

Meyersdale 

Middleburg 

Middlesex Township (Butler County) 

Middlesex Township (Cumberland County) 

Middletown 

Middletown Township 

Midland 

Mifllin 

Mifflinburg 

MitTlintown 

Milford 

Millboume 

Millcreek Township 

Millersburg 

Millersville 

Millvale 

Millville 

Milton 

Minersville 

Mohnton 

Monaca 

Monessen 

Monongahela 

Montgomery 

Montgomery Township 

Montoursville 

Montour Township 

Montrose 

Moon Township 

Moore Township 

Moosic 

Morrisville 

Morton 

Moscow 

Mountaintop Regional 

Mount Carmel 

Mount Carmel Township 

Mount Holly Springs 

Mount Jewett 

Mount Joy 

Mount Joy Township 

Mount Lebanon 

Mount Oliver 

Mount Penn 

Mount Pleasant 

Mount Pocono 

Mount Union 

Muhlenberg Township 

Muncy 

Munhall 

Murrysville 

Myerstown 

Nanticoke 

Nanty Glo 

Narberth 

Nazareth 

Neshannock Township 

Nesquehoning 

Nether Providence Township 

Neville Township 

Newberry Township 

New Bethlehem 

New Brighton 

New Britain 

New Britain Township 

New Castle 



Total 

police 

employees 



Total 
officers 



14 

3 

25 

14 

1 

20 

1 

3 

2 

4 

2 

4 

5 

15 
58 
4 
1 
3 
1 
I 
4 
61 
5 
9 
3 
1 
10 
6 
3 
5 

10 

12 

2 

30 

5 

1 

2 

28 

4 

3 

12 

5 

2 

10 

12 

5 

3 

1 

9 

6 

56 

6 

5 

3 

3 

4 

21 

3 

21 

19 

4 

14 

2 

6 

11 

2 

4 
12 
10 
10 

2 



37 



Total 
civilians 



II 
3 

22 

13 

1 

13 

1 

3 

2 

4 

2 

4 

5 

14 

47 

4 

1 

3 

1 

1 

4 

47 

5 

7 

3 

1 

9 

6 

3 

4 

10 

9 

2 

23 

5 

1 

2 

22 

4 

3 

11 

5 

2 

10 
9 
5 
3 
1 
8 
5 
44 
6 
5 
3 
3 
3 
20 
3 

18 

15 

4 

11 

2 

6 

10 

2 

4 

12 

6 

9 

1 

4 

1 

8 

33 



1 

11 



14 



1 

1 

12 



283 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1988 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



PENNSYLVANIA— Continued 



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 

Newtown Township (Bucks County) ... 
Newtown Township (Delaware County 

Newville 

New Wilmington 

Norristown 

Northampton 

Northampton Township 

North Belle Vernon 

North Bethlehem Township 

North Catasaqua , 

North Charleroi 

North Codorus Township 

North Comwell Township 

North Coventry Township 

North East 

Northeastern Regional 

Northern York Regional 

North Fayette Township 

North Franklin Township 

North Huntingdon Township 

North Lebanon Township 

North Londonderry Township 

North Middleton Township 

North Sewickley Township 

North Strabane Township 

Northumberland 

North Versailles Township 

North Wales 

Norwegian Township 

Norwood 

Oakdale 

Oakmont 

O'Hara Township 

Ohio Township 

OhioviUe 

Oil City 

Old Forge 

Old Lycoming Township 

Oley Township 

Olyphant 

Orangeville 

Orwigsburg 

Osceola Mills 

Oxford 

Palmerton 

Palmer Township 

Palmyra 

Patterson Township 

Patton 

Patton Township 

Paxtang 

Pen Argyl 

Penbrook 

Penn Hills 

Penn Township (Butler County) 

Penn Township (Lancaster County) 

Penn Township (Westmoreland County) 

Penn Township (York County) 

Pequea Township 

Perkasie 

Perryopolis 

Peters Township 



PENNSYLVANIA— Continued 



Philadelphia 



9 

3 

2 

5 

6 

9 

26 

2 

2 

3 

6 

1 

19 

15 

2 

4 

77 

15 

39 

2 

1 

4 

1 

2 

10 

7 

11 

6 

29 

16 

7 

22 

g 

4 

4 

1 

7 

5 

II 

6 

I 

7 
1 
10 
12 
2 
2 
19 



6,935 



14 
2 


1 


4 




70 


7 


11 


4 


32 


7 


2 




1 




4 




1 




2 




S 


2 


6 


1 


5 


6 


6 




26 


3 


13 


3 


7 




17 


5 


7 


1 


4 




4 




1 




7 




4 


1 


11 




4 
1 


-> 


6 
1 


1 


7 


3 


12 




2 




2 




17 


2 


7 


1 


7 
1 


1 


6 




1 




4 




1 




5 


1 


7 


1 


18 


6 


7 


1 


4 




1 




g 




3 




2 




5 




56 


8 


2 


1 


4 




12 


1 


15 


2 


3 


1 


9 
1 


1 


17 


5 


6.063 


872 



Philipsburg 

Phoenixville 

Pine Creek Township 

Pine Grove 

Pine Township 

Pilcaim 

Pittsburgh 

Pittston 

Plainfield Township 

Plains Township 

Pleasant Hills 

Plum 

Plumstead Township 

Plymouth 

Plymouth Township 

Pocono Township 

Point Marion 

Point Township 

Portage 

Port Allegany 

Port Carbon 

Port Vue 

Pottstown 

Pottsville 

Prospect Park 

Punxsutawney 

Pymatuning Township , 

Quakertown 

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 

Saint Clair 

Saint Marys 

Salisbury Township 

Sandy Lake 

Sandy Township 

Saxonburg 

Saxion 

Sayre 

Schuylkill Haven 

Schuylkill Township 

Scottdale 

Scott Township (Allegheny County) 

Scott Township (Columbia County) 

Scott Township (Lackawanna County) . 

Scranton 

Selmsgrove 

Sellersville 



1 

25 


1 
19 


2 


2 


9 


9 


3 


3 


1,125 


1,098 


12 


9 


4 


4 


12 


12 


18 


14 


21 


17 


5 


5 


10 


6 


33 


26 


9 


9 


4 


4 


2 


2 


2 


2 


3 


3 


3 


3 


45 


36 


31 


27 


8 


g 


16 


10 


6 


6 


15 


13 


56 


46 


4 


4 


2 


1 


189 


167 


5 


5 


2 


2 


4 


4 


3 


3 


10 


9 


20 


15 


6 


6 


7 


7 


37 


30 


2 


2 
1 


1 
3 


1 
2 


21 


16 


9 


8 


4 


4 


2 


2 


42 


36 


10 


9 


7 

1 


6 


1 
5 


5 


8 


7 


11 


10 


6 

1 


5 
1 


1 
9 


1 
8 


12 


8 


6 


5 


7 


7 


26 


23 


3 


3 


2 


2 


149 


144 


6 


5 


5 


5 



284 



Ble 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1988 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



PENNSYLVANIA— Continued 



en Springs ... 

'ickley 

'ickley Heights 
ler Township 

mokin 

mokin Dam 



ron 

ron Hill 

rpsburg 

rpsville 

ffield Township 

nandoah 

nango Township (Lawrence County) 

nango Township (Mercer County) 

ckshinny 

Uington 

ppensburg 

remanstown 

ewsbury 

'er Spring Township 

king Spring 

[ington 

!l >per> Rock 

I; ith Township 

■ der Township 

ebury Township 

nerset 

' iderton 

j ith Abington Township 

I jth Beaver Townsliip 

jth Centre Township 

Jth Coatesville 

1 Jth Fayette Township 

' Jth Fork 

Jth Greensburg 

uth Lebanon Township 

uth Londonderry Township 

uthmonl 

uth Park Township 

uth Strabane Township 

uth Waverly 

uthwest Greensburg 

uth Whitehall Township 

uth Williamsport 

angler 

ring City 

ringdale 

'ringeltsbury Township 

■ringfield Township (Bucks County) 

iringfield Township (Delaware County) . . . 

iringfield Township (Montgomery County) 

iring Garden Township 

iring Township (Berks County) 

iring Township (Centre County) 

ate College 

eelton 

oneboro 

oneycreek Township 

owe Township 

roudsburg 

roud Township 

jgarcreek 

Jgarloaf Township 

jmmerhill Township 

jmmit Hill 

Jnbury 

jsquehanna Township (Cambria County) 
jsquehanna Township (Dauphin County) 

*arthmore 

*atara Township 

wissvale 

woyersville 

ykesville 

amaqua 

arentum 









4 






28 


9 


12 


4 






23 


7 




1 








1 
















1 












■ 1 
















1 












1 








1 




1 




1 




I 






in 


1 






















14 


1 














30 


4 












1 






22 


3 






33 


7 


30 


1 


14 


1 


IS 








54 


15 




1 






in 




12 


4 


1? 




















13 


7 


26 


5 






32 


2 


13 


3 




2 


11 


3 




4 



PENNSYLVANIA— Continued 

Taylor 

Telford 

Temple 

Terre Hill 

Thombury Township 

Tinicum Township (Bucks County) 

Tinicum Towhship (Delaware County) 

Titusville 

Tobyhanna Township 

Topton 

Towamencin Township 

Towanda 

Trafford 

Trainer 

Tredyffnn Township 

Troy 

Tullytown 

Tunkhannock 

Tunkhannock Township 

Turtle Creek 

Tyrone 

Union City 

Uniontown 

Union Township (MifTlin County) 

Union Township (Washington County) 

Upland 

Upper Alien Township 

Upper Chichester Township 

Upper Darby Township 

Upper Dublin Township 

Upper Gwynedd Township 

Upper Makefield Township 

Upper Merion Township 

Upper Moreland Township 

Upper Mount Bethel Township 

Upper Nazareth Township 

Upper Perkiomen 

Upper Pottsgrove Township 

Upper Providence Township (Delaware 

County) 

Upper Providence Township (Montgomery 

County) 

Upper Saint Clair Township 

Upper Saucon Township 

Upper Southhampton Township 

Upper Uwchlan Township 

Upper Yoder Township 

Uwchlan Township 

Valley Township 

Vandergrift 

Vanport Township 

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 (Northampton County) 

Watsontown 

Waynesboro 

Waynesburg 

Weatherly 

Wellsboro 

Wemersville 

Wesleyville 

West Brandywine Township 

West Chester 

West Conshohocken 

West Deer Township 



5 
7 
2 
2 
1 

4 

10 

14 

7 

6 

16 

6 

I 

4 

56 

2 

6 

4 

1 

7 

4 

6 

30 

2 

5 

2 

12 

21 

151 

40 

16 

8 

68 

45 

5 

2 

7 

3 

10 

10 
29 
12 
25 
3 
5 

15 

2 

8 

2 

1 

4 

2 

4 

49 

21 

15 

9 

11 

27 

1 

8 

2 

5 

16 
7 
2 
5 
1 
3 
8 
48 
5 
5 



5 

6 

2 
2 
1 

4 
9 

13 
6 
6 

14 
6 
1 
4 

47 
2 
5 
4 
1 
7 
4 
3 

25 
2 
5 
2 

11 

19 
121 

36 

15 
8 

53 

36 
5 
2 
6 
3 

10 

9 

25 

II 

23 

3 

5 

14 
2 
8 
2 
1 

4 

2 

4 

41 

20 

13 

8 

10 
26 
1 
7 
2 
5 

15 
7 
2 
5 
1 
3 
8 
29 
5 
4 



285 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1988 — Continued 



City 



Total 

police 

employees 



Total 
ofTicers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



PENNSYLVANIA— Continued 

West Donegal Township 

West Earl Township 

West Fairview 

Westfall Township 

Westfield 

West Goshen Township 

West Grove 

West Hazleton 

West Hempfield Township 

West Hills Regional 

West Homestead 

West Lampeter Township 

West Lawn 

West Manchester Township 

West Manheim Township 

West Mayfield 

West Middlesex 

West MiOlin 

West Newton 

West Norriton Township 

West Pittston 

West Pottsgrove Township 

West Reading 

West Rockhill Township 

Westtown Township 

West View 

West Whiteland Township 

West Wyoming 

West York 

Wheatland 

Whitehall 

Whitehall Township 

Whitemarsh Township 

White Oak 

Whitpain Township 

Wiconisco Township 

Wilkes-Barre 

Wilkes-Barre Township 

Wilkins Township 

Williamsburg 

WiUiamsport 

Williamstow'n 

Willistown Township 

Wilson 

Windber 

Wind Gap 

Windsor Township 

Woodward Township 

Wormleysburg 

Wnghtsville 

Wrighttown Township 

Wyoming 

Wyomissing 

Wyomissing Hills 

Yardley 

Yeadon 

York 

York Springs-Latimore Township 

York Township 

Youngsville 

Zelienople 

RHODE ISLAND 

Barrington 

Bristol 

Burriilville 

Central Falls 

Charlestown 

Coventry 

Cranston 

Cumberland 

East Greenwich 

East Providence 

Foster 



RHODE ISLAND— Continued 



3 
2 
1 
1 
1 
22 
3 
6 
II 
8 

10 
4 
2 

19 

4 

1 

I 

35 

2 

24 

g 

6 

7 

4 

II 

II 

16 

3 

6 

I 

23 

41 

30 

11 

24 

1 

107 

13 

11 

1 

53 

1 

13 

7 

3 

2 

9 

1 

5 

2 

3 

4 

18 

2 

4 

16 

110 

2 

24 

2 

7 



32 
41 
22 
40 
19 
61 

176 
50 
34 

114 
10 



25 
32 
16 
37 
15 
48 
144 
42 
26 
92 
7 



Glocester 

Hopkinton 

Jamestown 

Johnston 

Lincoln 

Little Compton 

Middletown 

Narraganselt 

Newport 

New Shoreham 
North Kingstown 
North Providence 
North Smithfield 

Pawtucket 

Portsmouth 

Providence 

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 

Cayce 

Central City 
Charleston ... 

Cheraw 

Chesnee 

Chester 

Chesterfield . . 

Clemson 

Clinton 

Clover 

Columbia 

Conway 

Cowpens 

Darlington ... 
Denmark — 

Dillon 

Duncan 

Easley 

Edgefield 

Edisto Beach 

Elloree 

Estill 

Eutawville ... 

Fairfax 

Florence 

Folly Beach 
Forest Acres . 



12 
14 
13 
74 
38 

9 
39 
36 
98 

3 

59 

65 

20 

174 

29 

494 

18 

40 

56 

29 

23 

210 

41 

9 

56 

108 



19 
89 
10 
78 
14 

7 
11 
II 
13 
41 
19 
26 

3 
17 

9 

6 

1 

6 
28 
48 

4 

345 

25 

6 
20 

6 
25 
27 

9 

254 

39 

6 
35 
10 
19 

■> 

28 

11 

3 

4 

7 

5 

5 

86 

12 

29 



286 



le 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1988 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



SOUTH CAROLINA— Continued 



Mill ... 
nam Inn 



ney 

on 

rgctown 
se Creek 
/ Court 
It Falls 
:nv!lle 
tnuood 



ipton — 

ahan 

leeville . . 

sville 

h Springs 
lingway 
y Hill ... 
ea Path 



in 



of Palms 



son 

sonville 
ston . . . 
sville .. 
haw . . . 
istree 
■ City .. 
:view 
'ar 



.aster 

Irum 

a 

ens 

ville 

ngton 

rty 

s 

ining 

ion 

.Idin 

tee 

;oll 

'ormick 

icks Comer 

int Pleasant 

lins 

tie Beach 

'berrv 

■ Ellenlon 

;ty Six 

Ih Augusta 

th Charleston .. 
th Myrtle Beach 

ngcburg 

)lel 

)let Mills 

-•land 

dleton 

.ens 

Royal 

■perity 

jeland 

se Spring 

?eway 

k Hill 

It George 

It Matthews 

It Stephens 

m 

ida 

lee 



17 
16 
29 

2 

39 

35 

3 

8 

201 

51 

39 

8 

24 

11 

34 



11 
15 
5 

14 

20 

5 

3 

8 

9 

4 

8 

15 

23 

7 

3 

38 

7 

II 

24 

7 

9 

9 

II 

12 

24 

23 

3 

8 

5 

14 

59 

18 

108 

25 

4 

10 

47 

170 

68 

44 

3 

1 

17 

5 

10 

15 

4 

7 

3 

4 

90 

8 

5 

II 

I 

7 

3 

24 



12 

II 

21 

I 

36 

24 

3 

6 

165 

42 

30 

7 

17 

7 

26 

2 

5 

7 

II 

5 

14 

14 

4 

3 

4 

6 

4 

4 

II 

17 

4 

3 

31 

7 

6 

23 

7 

9 

5 

II 

II 

18 

17 

2 

5 

4 

10 

45 

14 

101 

21 

4 

6 

39 

127 

49 

34 

3 

1 

12 

5 

9 

12 

4 

6 

3 

3 

71 

3 

5 

5 

1 

7 

2 

23 



SOUTH CAROLINA— Continued 



Simpsonville ... 
South Congaree 

Spartanburg 

Springdale 

Sullivans Island 

Summenon 

Summerville ... 

Sumter 

Surfside Beach 

Swansea 

Tega Cay 

Timmonsville 
Travelers Rest 

Union 

Vamville 

Wagener 

Walhalla 

Walterboro 

Ware Shoals .. 
West Columbia 
Westminster .. 

Whitmire 

Williamston ... 

Williston 

Winnsboro 

Woodruff 

York 



SOUTH DAKOTA 



.Aberdeen 

Belle Fourche 

Brookings 

Chamberlain 
Fort Pierre 

Huron 

Lead 

Madison 

Milbank 

Mitchell 

Mobridge — 

Pierre 

Rapid City . 

Salem 

Sioux Falls 
Spearfish — 

Sturgis 

Vermillion .. 
Waterlown .. 
Yankton 



TENNESSEE 



Adamsville ... 

.Algood 

Ardmore 

Ashland City 

Athens 

Bartlett 

Baxter 

Benton 

Bethel Springs 

Bolivar 

Brentwood ... 

Bristol 

Brownsville 

Bruceton 

Bulls Gap 

Camden 

Caryville 

Centerville ... 
Chattanooga 
Church Hill 
Clarksville ... 
Cleveland 



19 

4 

133 

7 

6 

5 

30 

91 

12 

4 

12 

8 

21 

34 

3 

2 

12 

30 

10 

35 

9 

8 

16 

9 

23 

17 

20 



48 
8 
30 
8 
3 
23 
8 

14 

5 

29 

10 

22 

95 

2 

151 

14 

II 

19 

29 

31 



8 

4 

9 

5 

24 

50 

2 

4 

I 

19 

42 

49 

24 

3 

1 

13 

3 

13 

500 

5 

138 

57 



15 

3 

114 

6 

5 

5 

28 

64 

8 

4 

7 

5 

16 

29 

3 

1 

11 

21 

6 

28 

8 

4 

12 

8 

18 

16 

16 



38 

7 
25 

4 

3 
22 

6 
10 

5 
22 

6 
19 
77 

2 
128 
10 
10 
15 
25 
20 



3 

I 

14 

35 

47 

18 

3 

1 

9 

3 

9 

363 

5 

117 

52 



287 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1988 — Continued 



City 



Total 

police 

employees 



Total 
ofTicers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



TENNESSEE— Continued 

Collegedale 

CoUierville 

Collinwood 

Columbia 

Cookeville 

Cowan 

Crossville 

Cumberland Gap 

Dayton 

Decherd 

Dresden 

Dyer 

Dyersburg 

East Ridge 

Elkton 

Englewood 

Erwin 

Estill Springs 

Etowah 

Fairview 

Fayetteville 

Franklin 

Gallatin 

Gates 

Gatlinburg 

Germantown 

Gleason 

Goodlettsville 

Grand Junction 

Greeneville 

Halls 

Hartsville 

Hendersonville 

Hohenwald 

Hollow Rock 

Humboldt 

Huntingdon 

Jackson 

Jasper 

Jefferson City 

Jellico 

Johnson City 

Jonesborough 

Kimball 

Kingsport 

Kingston 

Knoxville 

Lafayette 

La Follette 

Lake City 

La Vergne 

Lawrenceburg 

Lebanon 

Lenoir City 

Lexington 

Livingston 

Lookout Mountain 

Loretto 

Loudon 

Martin 

Maryville 

McKenzie 

McMinnville 

Memphis 

Milan 

Millersville 

Millington 

Minor Hill 

Monterey 

Morrislown 

Mount Carmel 

Mount Juliet 

Mount Pleasant 

Murfreesboro 

Nashville 



TENNESSEE— Continued 



40 

4 
58 
62 

4 
23 

1 
14 
10 

6 

4 
44 
31 

1 

4 
10 

1 
13 
14 
25 
56 
43 

2 
38 
51 

4 
38 

2 
36 

4 
12 
53 

9 

1 
31 
14 
175 
12 
16 

7 

130 

11 

8 
110 

8 

343 

12 

22 

8 

19 
34 
33 
13 
22 
12 
19 

2 

9 
24 
26 
15 
35 
1,696 
20 

6 
28 

4 

4 
54 

5 

14 

14 

104 

1.410 



28 

3 

49 

50 

4 

19 

1 

10 

6 

5 

4 

36 

28 

1 

4 

10 

1 

9 

9 

22 

45 

34 

2 

32 

40 

4 

29 

2 

35 

4 

8 

42 

9 

1 

26 

10 

128 

8 

12 

6 

104 

7 

5 

76 

8 

289 

11 

17 

8 

15 

26 

28 

13 

17 

11 

15 

2 

9 

19 

24 

12 

28 

1,269 

17 

3 

23 

2 

4 

47 

5 

9 

10 

85 

1,100 



5 
2 
3 
7 
427 
3 
3 
5 
2 



Newbem 

New Johnsonville 

Newport 

New Tazewell ... 

Norris 

Oak Ridge 

Obion 

Oliver Spings 

Pigeon Forge 

Portland 

Pulaski 

Red Bank 

Ripley 

Rockwood 

Rossville 

Rutherford 

Savannah 

Sevierville 

Sewanee 

Sharon 

Shelbyville 

Signal Mountain 

Soddy-Daisy 

Somerville 

South Carthage .. 

South Fulton 

South Pittsburg .. 

Sparta 

Spring City 

Springfield 

Spring Hill 

Sweetwater 

Tazewell 

Tracy City 

Trenton 

Trimble 

Tullahoma 

Union City 

Watertown 

Waverly 

Westmoreland . . , 
White House ..., 

Winchester 

Woodbury 



TEXAS 



5 

4 

19 

310 



Abemathy 

Abilene 

Addison 

Alamo 

Alamo Heights 

Alice 

Allen 

Alpine 

Alvarado 

Alvin 

Amarillo 

Ames 

Andrews 

Angleton 

Anson 

Anthony 

.Aransas Pass 

Arlington 

Arp 

Athens 

Atlanta 

Austin 

Azie 

Balch Springs ... 
Balcones Heights 

Ballinger 

Bastrop 

Bay City 



3 
197 
64 
19 
25 
36 
32 
11 

7 

41 

316 

I 
15 
38 

4 

6 

20 

469 

I 
27 
17 
1.067 
24 
48 
17 

8 

10 
34 



288 



fable 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1988 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



TEXAS— Continued 



TEXAS— Continued 



4 

127 
258 
76 
23 
47 
13 

8 
25 
39 

1 

6 

2 
63 

7 

10 
II 
18 
28 
16 
14 

8 
15 
37 
17 
II 
II 
16 
168 
35 
104 
17 
32 

8 

7 
13 

3 

3 
II 
15 

1 

6 
169 
15 
21 
35 
16 
15 
14 

9 
II 
47 
21 

6 
23 
12 
16 
87 
20 
13 

7 
10 

3 

18 
67 
17 
25 
54 
10 
478 

8 
43 
10 
20 



4 

95 

217 

57 

17 

37 

9 

7 

18 

31 

I 

6 
2 
47 
4 
5 

10 

13 

20 

10 

8 

6 

10 

25 

12 

6 

9 

II 

131 

28 

78 

12 

25 

6 

6 

8 

3 

2 

8 

14 

I 

5 

119 

11 

18 

28 

13 

II 

9 

9 

6 

35 

14 

5 

16 



9 

62 


25 


13 




7 




6 




6 




1 




13 




54 


13 


16 




16 




39 


15 


9 




350 


128 


5 




34 




6 




14 




15 





Crystal Beach 

Crystal City 

Cuero 

Daingerfield 

Dalhart 

Dallas 

Dalworthington Gardens 

Dayton 

Decatur 

Deer Park 

De Kalb 

Del Rio 

Denison 

Denton 

Denver City 

DeSoto 

Devine 

Diboll 

Dickinson 

Dilley 

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 

Floresville 

Flower Mound 

Forest Hill 

Forney 

Fort Stockton 

Fort Worth 

Frankston 

Fredericksburg 

Freeport 

Freer 

Friendswood 

Friona 

Frisco , 

Gainesville , 

Galena Park 

Galveston , 

Garland 

Gatesville 

Georgetown , 

Giddings 

Gilmer 

Gladewater 

Glenn Heights 

Gonzales 

Gorman 

Graham 

Granbury 

Grand Prairie 



10 


5 


12 


8 


9 


9 


6 


5 


13 


9 


3.161 


2,381 


5 


5 


15 


9 


8 


8 


46 


37 


4 


3 


61 


50 


48 


40 


105 


90 


13 


7 


53 


37 


10 


5 


13 


8 


20 


15 


2 


2 


8 


7 


28 


21 


8 


6 


26 


21 


66 


48 


6 


5 


41 


33 


5 


4 


10 


8 


7 


5 


4 


3 


3 


3 


51 


36 


8 


7 


23 


18 


8 


4 


12 


7 


886 


677 


13 


8 


33 


28 


81 


56 


16 


12 


7 


7 


8 


8 


73 


61 


4 


4 


11 


10 


6 


6 


30 


22 


26 


18 


11 


8 


19 


12 


1,243 


950 


6 


4 


16 


14 


34 


27 


7 


3 


37 


28 


10 


6 


15 


11 


38 


30 


21 


16 


210 


168 


266 


197 


13 


7 


30 


20 


14 


9 


9 


7 


19 


13 


14 


9 


15 


9 


3 


3 


17 


15 


15 


12 


198 


135 



289 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1988 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



TEXAS— Continued 

Grand Saline 

Grapevine 

Greenville 

Gregory 

Groesbeck 

Groves 

Gruver 

Gun Barrel City 

Hallettsville 

Haltom City 

Hamlin 

Harker Heights 

Harlingen 

Hawkins 

Heame 

Hedwig Village 

Hemphill 

Hempstead 

Henderson 

Hereford 

Hewitt 

Hico 

Hidalgo 

Highland Park 

Highland Village 

Hill Country 

Hillsboro 

Hitchcock 

Holland 

Hollywood Park 

Hondo 

Hooks 

Horseshoe Bay 

Houston 

Humble 

Huntington 

Huntsville 

Hurst 

Hutchins 

Hulto 

Idalou 

Ingleside 

Iowa Park 

Irving 

Jacinto City 

Jacksboro 

Jacksonville 

Jamaica Beach 

Jasper 

Jefferson 

Jersey Village 

Joshua 

Jourdanton 

Katy 

Kaufman 

Keene 

Keller 

Kemp 

Kennedale 

Kermit 

Kerrville 

Kilgore 

Killeen 

Kingsville 

Kirby 

Kirbyville 

Kountze 

Kyle 

Lacy-Lakeview 

La Feria 

Lago Vista 

La Grange 

La Joya 

Lake Dallas 

Lake Jackson 



TEXAS — Continued 



5 

75 

49 

2 

6 

14 

1 

12 

5 

53 

9 

34 

86 

5 

17 

20 

3 

8 

28 

29 

21 

2 

19 

59 

16 

5 

22 

13 

1 

7 

II 

4 

7 

5,271 

46 

4 

40 

85 

13 

1 

3 

9 

15 

284 

20 

8 

28 

6 

23 

6 

20 

8 

4 

22 

15 

10 

25 

6 

16 

18 

46 

36 

150 

52 

13 

3 

5 

4 

II 

7 

8 

5 

12 
14 
39 



4 

52 

39 

2 

5 

13 

I 

7 

4 

44 

5 

27 

71 

4 

10 

14 

3 

6 

23 

23 

15 

2 

14 

47 

9 

5 

16 

10 

1 

7 

9 

4 

6 

4,270 

36 

4 

28 

55 

10 

1 

3 

5 

II 

212 

15 

6 

22 

5 

14 
5 
14 
7 
4 
17 
II 
7 

19 

4 

II 

II 

38 

29 

114 

34 

8 

3 

5 

4 

6 

7 

5 



1,001 
10 



Lakeside 

Lakeview 

Lakeway Village 

Lake Wonh 

La Marque 

Lamesa 

Lampasas 

Lancaster 

La Pone 

Laredo 

La Vemia 

La Villa 

League City 

Leander 

Leon Valley 

Levelland 

Lewisville 

Lexington 

Liberty 

Lindale 

Littlefield 

Live Oak 

Livingston 

Llano 

Lockhart 

Lone Star 

Longview 

Los Fresnos 

Lubbock 

Lufidn 

Luling 

Madisonville 

Malakoff 

Manor 

Mansfield 

Manvel 

Marble Falls 

Marion 

Marlin 

Marshall 

Mart 

Mathis 

McAllen 

McGregor 

McKinney 

Meadows 

Memphis 

Mercedes 

Merkel 

Mesquite 

Mexia 

Midland 

Midlothian 

Mineola 

Mineral Wells 

Mission 

Missouri City 

Monahans 

Mont Belvieu 

Morgans Point Resort 

Mount Pleasant 

Muleshoe 

Munday 

Nacogdoches 

Naples 

Nassau Bay 

Navasota 

Nederland 

Needville 

New Boston 

New Braunfels 

Nocona 

Nolanville 

Northcrest 

North Richland Hills 



2 


2 


12 


9 


14 


10 


25 


18 


27 


21 


23 


16 


14 


S 


46 


34 


56 


41 


187 


166 


3 


2 


48 


36 


13 


7 


31 


24 


25 


19 


95 


73 


18 


11 


11 


7 


15 


10 


21 


17 


15 


9 


5 


4 


11 


11 


3 


3 


147 


125 


II 


6 


340 


293 


53 


44 


12 


6 


5 


4 


10 


6 


5 


4 


30 


23 


5 


5 


17 


10 


16 


9 


49 


37 


6 


3 


12 


7 


225 


157 


12 


6 


45 


34 


8 


7 


2 


2 


26 


18 


3 


3 


195 


149 


17 


12 


190 


148 


18 


13 


15 


9 


28 


20 


38 


30 


47 


34 


21 


14 


6 


5 


4 


4 


22 


17 


13 


7 


-> 


2 


57 


47 


3 


3 


18 


15 


17 


11 


23 


19 


5 


5 


10 


6 


50 


39 


8 


4 


6 


5 


5 


4 


84 


60 



290 



able 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1988 — Continued 



Cily 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



TEXAS— Continued 



8 

236 

10 

7 

6 

3 

51 

4 

3 

4 

9 

10 

50 

2 

34 

16 

49 

I 

259 

36 

7 

22 

17 

12 

57 

4 

II 

9 

34 

223 

12 

14 

128 

20 

31 

17 

17 

3 

4 

2 

5 

3 

4 

7 

4 

1 

15 

10 

4 

192 

23 

20 

10 

17 

10 

24 

13 

23 

27 

4 

15 

2 

1 

1 

4 

I 

41 

46 

40 

6 

7 

2 

14 

23 

173 



7 

166 

10 

3 

3 

3 

39 

3 

3 

4 

5 

6 

38 

2 

25 

11 

35 

1 

208 

28 

7 

16 

10 

7 

38 

4 

6 

8 

27 

149 

9 

9 

102 

15 

22 

14 

14 

2 

4 

2 

4 

3 

3 

6 

4 

1 

10 

6 

4 

127 

17 

14 

9 

12 

9 

19 

8 

16 

20 

4 

9 

1 

I 

I 

4 

1 

30 

36 

30 

6 

6 

2 

9 

16 

142 



TEXAS— Continued 



San Antonio 

San Augustine 

San Benito 

San Juan 

San Marcos 

Sansom Park City 

Santa Anna 

Santa Fe 

Schertz 

Seabrook 

Seadrift 

Seagoville 

Seagraves 

Sealy 

Sequin 

Selma 

Semmole 

Seven Points 

Shallowater 

Shamrock 

Shavano Park 

Shenandoah 

Sherman 

Silsbee 

Sinton 

Slaton 

Smithville 

Snyder 

Somerset 

Somerville 

Sonora 

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 

Taft 

Tahoka 

Tatum 

Taylor 

Teague 

Temple 

Terrell 

Terrell Hills 

Texarkana 

Texas City 

The Colony 

Tomball 

Troup 

Tulia 

Tye 

Tyler 

Universal City 

University Park .. 

Uvalde 

Van 

Vernon 

Victoria 

Vidor 

Village 



1,769 


1,451 


4 


4 


30 


24 


14 


11 


60 


46 


12 


7 


17 


11 


20 


14 


21 


18 


2 


2 


17 


12 


4 


3 


9 


8 


50 


36 


8 


7 


9 


9 


8 


4 


4 


2 


7 


3 


3 


3 


5 


5 


66 


50 


19 


14 


8 


7 


12 


6 


11 


7 


18 


14 


2 


2 


5 


4 


4 


4 


34 


26 


21 


15 


26 


19 


14 


13 


9 


5 


8 


5 


23 


18 


2 


2 


29 


21 


9 


7 


5 


4 


32 


28 


2 


1 


3 


3 


41 


34 


33 


28 


2 


2 


9 


7 


6 


5 


23 


19 


5 


5 


4 


4 


4 


2 


21 


15 


5 


4 


118 


93 


32 


25 


16 


16 


83 


74 


72 


60 


30 


22 


22 


19 


5 


4 


II 


6 


3 


2 


163 


128 


34 


26 


40 


32 


21 


19 


5 


4 


23 


16 


116 


81 


26 


18 


29 


2'> 



291 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1988— Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



TEXAS— Continued 



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 

While Settlement 

Wichita Falls 

Wills Point 

Wilmer 

Windcrest 

Winnsboro 

Winters 

Wolfforth 

Woodville 

Woodway 

Wylie 

Yoakum 

Yorktown 



UTAH 



Alpine 

American Fork 

Beaver 

Bountiful 

Brigham City . 
Cedar City 

Centerville 

Clearfield 

Clinton 

Delta 

Draper 

East Carbon .. 

Ephraim 

Farmington . . . 

Garland 

Grantsville 

Gunnison 

Harrisville 

Heber City 

Helper 

Hurricane 

Kamas 

Kanab 

Kaysville 

Layton 

Lehi 

Logan 

Manti 

Mapleton 

Midvale 

Moab 

Monticello 

Mount Pleasant 

Murray 

Naples 

Nephi 

North Ogden 



3 
247 

5 

5 

1 
37 
40 
39 
30 
42 

5 

12 
14 

8 
13 

8 
28 

8 
16 

9 

14 

10 

30 

210 

6 
11 
17 
11 

5 

3 

7 
22 
13 
14 

5 



3 

200 

5 

5 

1 

28 

31 

28 

20 

32 

5 

7 

9 

6 

13 

4 

21 

4 

14 

7 

10 
6 
21 
138 
5 
7 

12 
7 
5 
3 
6 
13 
9 



47 



UTAH— Continued 



North Salt Lake ... 

Ogden 

Orem 

Park City 

Parowan 

Payson 

Pleasant Grove 

Pleasant View 

Price 

Provo 

Richfield 

Riverdale 

Roosevelt 

Roy 

Saint 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 

Essex 

Fair Haven 

Hardwick 

Hartford 

Ludlow 

Lyndonville 

Manchester 

Middlebury 

Milton 

Montpelier 

Morristown 

Newport 

Norwich 

Randolph 

Richmond 

Rutland 

Saint Albans 

Saint Johnsbury 
South Burlington 

Springfield 

Stowe 

Swanton 

^'ergennes 

Vernon 



2 Waterbury 



122 
73 
21 

2 
12 
12 

4 
17 
81 
10 
17 
12 
28 
38 

3 

414 

82 

3 

8 

16 
38 
15 



4 
20 

8 

17 
11 

6 

4 

50 
105 

7 



37 

3 

116 

2 

3 

21 

6 

27 

2 

6 

23 

8 

2 

12 
11 
10 
22 
5 

14 

5 

4 

2 

56 

21 

15 

34 

21 

10 

4 

3 

4 

4 




292 



able 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1988 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



VERMONT— Coiitiniied 



VIRGINIA 



17 

321 

15 

4 

9 

2 

386 

17 

23 

5 

17 

60 

17 

15 

1 

4 

51 

3 

1 

16 

3 

5 

2 

112 

12 

3 

278 

5 

8 

31 

7 

13 

2 

8 

11 

38 

3 

18 

9 

29 

1 

114 

2 

7 

10 

2 

8 

24 

3 

75 

41 

20 

27 

63 

1 

34 

25 

3 

3 

1 

3 

4 

3 

4 

263 

49 



15 
237 
11 
4 
6 
2 
309 
15 
19 
5 

12 
44 
13 
11 
1 

4 

41 

3 

1 

12 

3 

5 

2 

93 

8 

3 

230 

5 

7 

25 

5 

10 
2 
7 
7 
31 
1 

13 

5 

21 

1 

101 

1 

6 

10 

2 

5 

18 

3 

59 

30 

15 

20 

52 

1 

27 

20 

3 

3 

! 

3 

4 

3 

4 

197 

38 



10 



48 



VIRGINIA— Continued 



Haysi 

Heradon 

Hillsville 

Honaker 

Hopewell 

Hurt 

Independence .. 

Iron Gate 

Jonesville 

Kenbridge 

Kilmarnock 

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 .. 

Saint Paul 

Salem 

Saltville 

Shenandoah 

Smithfield 

South Boston 

South Hill 

Stanley 

Staunton 

Stephens City 
Strasburg ....... 

Suffolk 

Tappahannock 

Tazewell 

Urbanna 

Victoria 

Vienna 

Vinton 

Virginia Beach 

Warrenton 

Warsaw 

Waverly 



1 

40 


1 
30 


5 


5 


3 


3 


52 


40 


2 


2 


2 


2 


3 


3 


4 


4 


4 


4 


5 


5 


6 


6 


28 


25 


20 


15 


2 


2 


12 


11 


154 


137 


72 


57 


22 


15 


21 


16 


56 


50 


3 


3 


2 


2 


3 


3 


5 


5 


3 


3 


304 


254 


696 


626 


17 


13 


5 


3 


10 


9 


3 


3 


6 


6 


8 


4 


142 


90 


3 


3 


19 


14 


277 


208 


5 


5 


29 


23 


6 


6 


3 


3 


29 


23 


19 


14 


667 


596 


253 


217 


11 


11 


5 


5 


66 


50 


5 


5 


5 


5 


13 


8 


18 


14 


20 


15 


3 


3 


55 


45 


12 


8 


99 


90 


5 


5 


10 


9 


4 


3 


49 


38 


24 


18 


747 


558 


23 


17 


2 


2 


5 


5 



293 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1988 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



VIRGINIA— Continued 

Waynesboro 

Weber City 

Williamsburg 

Winchester 

Wise 

Woodstock 

Wytheville 

WASHINGTON 

Aberdeen 

Algona 

Anacortes 

Arlington 

Auburn 

Battle Ground 

Bellevue 

Bellingham 

Benton City 

Bingen 

Black Diamond 

Blaine 

Bonney Lake 

Bothell 

Bremerton 

Brier 

Buckley 

Burlington 

Camas 

Carnation 

Castle Rock 

Chehalis 

Chewelah 

Clarkston 

Cle Elum 

Clyde Hill 

College Place 

Colville 

Connell 

Cosmopolis 

Coulee Dam 

Davenport 

Dayton 

Des Momes 

East Wenatchee 

Eatonville 

Edmonds 

Ellensburg 

Elma 

Enumclaw 

Ephrata 

Everett 

Femdale 

Fife 

Fircrest 

Forks 

Goldendale 

Grand Coulee 

Grandview 

Hoquiam 

Issaquah 

Katama 

Kelso 

Kennewick 

Kent 

Kirkland 

Kittitas 

Lacey 

La Conner 

Lake Stevens 

Long Beach 

Longv iew 

Lummi Tribal 

Lynden 

Lynnwood 



WASHINGTON— Continued 



50 



46 

6 

26 

8 

74 

9 

176 

115 

4 

4 

3 

8 

16 

26 

71 

8 

13 

14 

16 

5 

5 

19 

5 

13 

5 

8 

II 

10 

6 

6 

3 

3 

5 

27 

9 

3 

46 

18 

10 

16 

14 

153 

10 

18 

8 

11 

7 

3 

16 

28 

19 

3 

29 

58 

107 

55 

2 

30 
4 
4 
5 
56 
12 
7 
47 



35 

5 

16 

7 

53 

8 

120 

76 

4 

4 

3 

7 

10 

19 

50 

6 

7 

9 

13 

4 

4 

16 

4 

10 

5 

8 

7 

9 

5 

5 

3 

3 

3 

18 

7 

3 

34 

15 

5 

13 

8 

120 

7 

12 
8 
6 
6 
3 

12 
21 
13 
3 
24 
47 
71 
41 
2 

25 
4 
4 
5 

45 

II 
6 

39 



Marysville 

McCleary 

Medina 

Mercer Island 

Mill Creek 

Milton 

Monroe 

Montesano 

Mounllake Terrace 
Mount Vernon 

Mukilteo 

Newport 

Normandy Park .. 

Oak Harbor 

Ocean Shores 

Olympia 

Othello 

Pacific 

Pasco 

Pomeroy 

Port Angeles 

Port Orchard 

Port Townsend . . . 

Poulsbo 

Prosser 

Pullman 

Puyallup 

Quincy 

Redmond 

Renton 

Republic 

Richland 

Ridgefield 

Ritzville 

Ruston 

Seattle 

Sedro Woolley 

Selah 

Sequim 

Shelton 

Snohomish 

Snoqualmie 

Spokane 

Stanwood 

Steilacoom 

Sumner 

Sunnyside 

Tacoma 

Toppenish 

Tukwila 

Tumwater 

Union Gap 

Vancouver 

Walla Walla 

Wapato 

Washougal 

Wenatchee 

Westport 

West Richland ... 

White Salmon 

Winlock 

Woodland 

Yakima 

Zillah 



WEST VIRGINIA 



Alderson 

Anmoore — 

Ansted 

Barboursville 

Beckley 

Belington 

Belle 

Benwood 



26 


17 


3 


3 


6 


6 


38 


29 


9 


7 


8 


7 


10 


9 


7 


5 


27 


24 


35 


26 


8 


7 


4 


4 


12 


11 


28 


19 


11 


7 


73 


55 


13 


9 


7 


6 


47 


38 


3 


3 


38 


27 


12 


11 


10 


9 


12 


10 


12 


8 


29 


20 


55 


38 


8 


6 


58 


43 


84 


67 


2 


2 


47 


41 


2 


2 


3 


3 


1,575 


1,179 


15 


10 


9 


7 


12 


7 


30 


16 


13 


11 


6 


5 


306 


236 


6 


5 


13 


11 


15 


11 


21 


17 


334 


301 


18 


12 


39 


30 


17 


15 


14 


12 


87 


72 


53 


34 


12 


10 


6 


6 


41 


31 


11 


7 


8 


7 


4 


4 


4 


3 


5 


5 


115 


90 


4 


3 



294 



ble 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1988 — Continued 



Citv 



Total 

police 

employees 



Total 
officers 



Total 

civilians 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



WEST VIRGINIA— Continued 

hlehem , 

efield , 

igeport , 

rkhannon , 

neron , 

lar Grove , 

edo , 

iipmanville , 
irleston 

i irles Town , 

ii -sapeake 

I rster , 

1} rksburg 

(y 

i ndenin 

I iville 

I 'y 

I barton 

I ibar 

(ins 

l! rmont 

I etleville 

I lansbee 

I I Gay 

I jley Bridge 

I n Dale 

I nville 

' .fton 

■ntsville 

inville 

pers Ferry-Bolivar 

I Tisville 

iton 

filington 

rncane 

lova 

■mil 

rter 

nball 

igwood 

visburg 

jan 

Tiberport 

bscott 

dison 

n 

nnington 

rlinton 

rmet 

rtinsburg 

I son 

.lewan 

Mechen 

ddleboume 

Hon 

)nongah 

mtgomery 

)orefield 

)rganlown 

>undsville 

>unt Hope 

illens 

w Cumberland 

w Haven 

w Martinsville 

iro 

•rth Folk 

itter Fort 

k Hill 

eana 

den City 

rkersburg 

rsons 

, nnsboro 

ftersburg 



7 

32 

19 

7 

4 

3 

8 

4 

177 

12 

4 

4 

39 

I 

4 

4 

1 

2 

18 

16 

38 

4 

6 

3 

3 

4 

5 

12 

3 

1 

2 

2 

5 

106 

10 

11 

2 

12 

2 

4 

7 

10 

2 

4 

8 

4 

5 

2 

4 

37 

3 

2 

4 

1 

4 

1 

16 

3 

59 

19 

4 

5 

4 

2 

14 

10 

4 

5 

14 
5 
9 
68 
2 
1 
4 



6 

26 

14 

7 

4 

3 

4 

4 

155 

10 

4 

4 

32 

1 

3 
3 
1 
2 

13 
11 
29 
3 
6 
3 
3 
4 
5 
8 
2 
1 
2 
2 
5 
100 
6 
9 
2 
7 
1 
4 
7 
8 
2 
4 
6 
4 
5 
I 
4 

30 

3 

2 

4 

1 

3 

1 

11 

3 

47 

17 

4 

5 

4 

2 

10 

10 

4 

5 

10 
5 
5 
54 
2 
1 
3 



WEST VIRGINIA— Conlinued 

Philippi 

Piedmont 

Pineville 

Poca 

Point Pleasant 

Princeton 

Rainelle 

Ranson 

Ravenswood 

Richwood 

Ripley 

Romney 

Ronceverte 

Saint Albans 

Saint Marys 

Salem 

Shepherdstown 

Shmnston 

SistersviUe 

Smithers 

Sophia 

South Charleston 

Spencer 

Star City 

Stonewood 

Summersville 

Sutlon 

Terra Alta 

Vienna 

War 

Wayne 

Webster Springs 

Weirton 

Welch 

Wellsburg 

Weston 

Westover 

Wheeling 

White Sulphur Springs 

Whilesville 

Williamson 

Williamstown 

WISCONSIN 

Adams 

Algoma 

Altoona 

Antigo 

Applelon 

Ashland 

Ashwaubenon 

Baraboo 

Bayside 

Beaver Dam 

Beloit 

Beloit Town 

Berlin 

Black River Falls 

Brillion 

Brodhead 

Brookfield 

Brown Deer 

Burlington 

Burlington Town 

Butler 

Caledonia 

Ccdarburg 

Chenequa 

Chilton 

Chippewa Falls 

Clinlonville 

Combined Locks 

Crandon 

Cuba City 



3 

5 

8 

17 

119 

21 

34 

22 

16 

31 

91 

10 

14 

8 

4 

10 

76 

32 

25 

6 

9 

25 

26 

7 

6 

31 

12 

4 

2 

3 



295 



Table 72. — Number of Full-time Law Enforcement Employees, Cities, October 31, 1988 — Continued 








City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


WISCONSIN— Continued 

Cudahy 


37 
4 
6 
9 
14 
3 
31 
7 
3 
8 
107 
8 

12 

20 

3 

24 

69 

20 

22 

35 

27 

46 

23 

210 

32 

65 

19 

6 

19 

11 

5 

10 

13 

98 

12 

20 

169 

6 

4 

10 

103 

8 

9 

19 

6 

7 

13 

5 

355 

18 

70 

27 

43 

8 

9 

8 

8 

35 

14 

72 

36 

42 

24 

28 

7 

2,334 

13 

21 

31 

6 

24 

12 

34 

49 

6 


34 
4 
6 
8 
13 
3 
25 
7 
3 
6 

82 
7 

10 
16 
3 

18 
58 
15 
17 
28 
22 
36 
18 
165 
25 
49 
15 
5 

15 

10 

5 

8 

11 

73 

11 

19 

157 

6 

4 

5 

83 

6 

8 

15 

6 

6 

12 

4 

302 

15 

61 

21 

33 

7 

8 

7 

7 

29 

13 

54 

24 

35 

20 

23 

6 

1,947 

8 

18 

24 

5 

17 

9 

24 

41 

5 


3 


WISCONSIN— Continued 


73 
10 

2 

15 

10 

9 

44 

27 
7 
7 
18 
8 
7 
88 
4 
6 
5 

14 
4 
23 
7 
5 

12 

24 

21 

15 

6 

262 

15 

23 

22 

12 

15 

18 

12 

2 

5 

20 

10 

7 

4 

21 

111 

31 

7 

30 

14 

3 

4 

50 

18 

18 

8 

5 

30 

58 

7 

19 
8 
8 

10 

29 

8 

10 

4 

5 

37 

120 

7 

15 
16 
63 
110 
154 
48 


57 
6 
2 
15 
9 
7 
40 
21 
7 
7 

16 

7 

3 

81 

3 

6 

5 

12 

4 

18 

7 

5 

11 

18 

16 

9 

5 

203 

11 

17 

21 

10 

11 

15 

12 

2 

5 

19 

9 

6 

4 

16 

89 

25 

6 

29 

13 

3 

4 

40 

18 

17 

7 

5 

22 

55 

6 

14 

6 

7 

6 

24 

7 

7 

4 

5 

31 

90 

6 

11 

14 

S3 

88 

131 

40 


h 


Darlington 


New Holstein 


De Forest 




New Lisbon 


Delafield 


1 
1 


New London 




Delavan 


New Richmond 


1 






De Pere 


6 


Oak Creek 


Dodgeville 


Oconomowoc 


Durand 




Oconomowoc Town 


East Troy 


2 
25 
1 
2 
4 


Oconto 




Eau Claire 


Onalaska 




Edgerton 


Oregon 


Elkhom 




Elm Grove 


Oshkosh 


Elroy 


Palmyra 


Fitchburg 


6 
11 

5 
5 
7 
5 

10 
5 

45 
7 

16 
4 
1 

4 
1 

2 
2 

25 
1 
1 

12 

5 
20 

1 

4 

1 
1 
1 

53 
3 
9 
6 

10 
1 
1 
1 
1 

6 
1 

18 

12 
7 
4 
5 
1 
387 
5 
3 
7 
1 

7 
3 

10 
8 
1 


Park Falls 








Fort Atkinson , 


Pewaukee 






Phillips .... 


Franklin 










Glendale , 


Plover 


5 






Green Bay 








Greenfield 


Prairie du Chien 






Hallie 








Hartland 








Horicon 








Janesville 


River Falls 




River Hills 


Kaukauna 








Rothschild 




Kewaunee 


Saint Francis 








Kiel 






Schofield 


2: 

1 

1 










Lake Geneva 




Lake Mills 




Lancaster 




Little Chute 




Lodi 










Madison Town 




1( 










1 

1 

i 

1 

c 

3 
1 
A 
< 

1 

3 


Marshfield 




Mauston 
















Menasha 




















Merrill 




Middleton 




Milton 




Milwaukee 


Waterloo 








6 

30 

1 

4 

2 

10 

22 

23 

8 




Waukesha 






Mosinee 
















Neenah 


West Allis 




West Bend 


296 







iible 72.— Number of Full-time Law Enforcement Employees, Cities, October 31, 1988 — Continued 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



City 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



WISCONSIN— Continued 

;5t Milwaukee 

rston 

tsl Salem 

lilefish Bay 

litewater 

Iliams Bay 

sconsin Dells 

sconsin Rapids 

WYOMING 

on 

igs 

;in 

Talc 

;per 

iyenne 

iy 

-ceville 

imondville 

uglas 

:ampment 

inston 

insville 

lelte 

nrock 

•en River 

rybull 



19 


5 


12 


4 


4 




23 


5 


21 


9 


5 


1 


n 




38 


11 



WYOMING— Continued 



Guernsey — 

Hanna 

Jackson 

Kemmerer ... 

Lander 

Laramie 

Lovell 

Lusk 

Lyman 

Medicine Bow- 
Mills 

Moorcroft 

Newcastle 

Pine BlufTs .. 

Powell 

Rawlins 

Riverton 

Rock Springs 

Saratoga 

Sheridan 

Shoshoni 

Sundance 

Thayne 

Thermopolis . 
Torrington . . . 

Upton 

Wheatland ... 
Worland 



4 




5 




12 


3 


7 


3 


13 


6 


32 


11 


4 




3 


1 


8 


6 


1 


3 


8 


1 


4 


I 


8 


5 


2 


3 


11 


7 


18 


9 


16 


10 


32 


22 


4 


4 


23 


14 


2 


4 


4 




1 




9 


6 


13 


6 


■> 




9 


1 


11 


2 



297 



Table 73. — Number of Full-time Law Enforcement Employees, Universities and Colleges, October 31, 1988 



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 
Livingston State University .. 

Troy Stale University 

University of Alabama; 

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 



CALIFORNIA 



Cabrillo College 

California State Polytechnic University: 

Pomona 

San Luis Obispo 

California State University: 

Bakersfield 

Chico 

Dominguez Hill 

Fresno 

Fullerton 

Hayward 

Long Beach 

Los Angeles 

Northridge 

Sacramento 

San Bernardino 

San Diego 

San Jose 

Stanislaus 

San Francisco State University 

College of the Sequoias 

College of Mann 

Contra Costa Community College 

Foothill-Deanza Community College ... 

Humboldt State University 

Merced Community College 

San Jose Community College 

Sonoma State University 

University of Cafifomia: 

Berkeley 

Davis 

Irvine 

Lawrence Berkeley Laboratory 

Lawrence Livermore Laboratory ... 

Los Angeles 

Riverside 

San Diego 

San Francisco 

Santa Barbara 

Santa Cruz 

West Valley College 



23 
29 

13 
14 
12 
27 
22 
21 
28 
30 
22 
21 
20 
39 
36 
13 
29 
5 
8 
22 
II 
17 
3 
II 
17 

96 
68 
52 
18 
348 
65 
18 
43 
76 
36 
24 
10 



45 


27 


1 1 




20 


17 


20 


5 


34 


30 


5 





12 


11 


13 


16 


8 


5 


10 


4 


9 


3 


17 


10 


15 


7 


12 


9 


22 


6 


16 


14 


18 


4 


15 


6 


II 


9 


26 


13 


25 


11 


10 


3 


15 


14 


4 


1 


7 


1 


18 


4 


10 


1 


10 


7 


2 


1 


7 


4 


10 


7 


64 


32 


47 


21 


20 


32 


10 


8 


17 


331 


50 


15 


12 


6 


25 


18 


32 


44 


28 


8 


13 


11 


9 


1 



COLORADO 



Adams State College 

Arapahoe Community College ... 
Auraria Higher Education Center 

Colorado School Of Mines 

Colorado Slate University 

Red Rocks Community College 
University of Colorado: 

Boulder 

Colorado Springs 

Medical Center 

University of Northern Colorado 
University of Southern Colorado 



CONNECTICUT 

Central Connecticut Stale University 
Eastern Connecticut State University 
Southern Connecticut State University 
University of Connecticut: 

Avery Point 

Health Center 

Main Campus 

Western Connecticut State Univeristy 
Yale University 



FLORIDA 



Florida A&M University 

Florida Atlantic University 

Florida International University 
Florida Stale University: 

Panama City 

Tallahassee 

University of Central Florida 

University of Florida 

University of North Rorida ... 
University of South Florida: 

Saint Petersburg 

Sarasota 

Tampa 

University Of West Florida ... 



GEORGIA 



Abraham Baldwin College 

Albany State College 

Armstrong Stale College 

Augusta College 

Cherokee College 

Clayton State College 

Columbus College 

Georgia Institute of Technology 

Georgia Southern College 

Georgia Southwestern College . 

Georgia Stale University 

Kennesaw College 

Medical College of Georgia 

North Georgia College 

Savannah Stale College 

South Georgia College 

Southern Technical Institute ... 

University of Georgia 

Valdosta State College 

West Georgia College 



ILLINOIS 



Black Hawk College .... 
Chicago State University 

College of DuPage 

College of Lake County 



298 



ble 73. — Number of Full-time Law Enforcement Employees, Universities and Colleges, October 31, 1988 — Continued 



University/College 



Total 

police 

employees 



Total 
officers 



Tola! 
civilians 



University/College 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



ILLINOIS— Continued 



;tem Illinois University 

vemors State University 

aois State University 

in A. Logan College 

let Junior College 

rton College 

rtheaslem Illinois University 
rthem Illmois University ... 

:k Valley College 

igamon State University 

ithern Illmois University: 

Carbondale 

Edwardsville 

ilh Suburban College 

te Community College 

ton College 

iversity of Illinois: 

Chicago 

Urbana 

ubonsee College 

I stem Illinois University 

' Ham Rainey Harper College 



INDIANA 



iana University: 
Bloominglon 

Gar>' 

Indianapolis .. 
New Albany 



IOWA 



'a State Univeristy 

iversity of Iowa 

iversity of Northern Iowa 

KANSAS 



iporia State University 

1 Hays State University 

nsas State University, Manhattan 

isburg State University 

iversity of Kansas; 

Lawrence 

Medical Center 

chita State University 



KENTUCKY 



■item Kentucky University 
)rehead State University ... 

irray State University 

rthem Kentucky University 

liversity of Kentucky 

liversity of Louisville 

:stem Kentucky University 



LOUISIANA 

uisiana State University, Baton Rouge 

uisiana Tech. University 

:Neese State University 

irtheast Louisiana University 

irthwestem State University 

utheastem Louisiana University 



MAINE 

diversity of Maine. Orono 
'liversity of Southern Maine 



17 


8 


11 


2 


24 


5 


? 




4 


1 


6 


3 


17 


9 


28 


12 


5 


1 


3 


1 


43 


9 


19 


8 


11 


3 


5 


1 


13 


4 


60 


20 


46 
1 


9 


21 


5 


7 


6 



36 


2 


14 


2 


10 


1 


15 


4 


16 




14 


2 



MARYLAND 

Bowie State College 

Coppin State College 

Frostburg State University 

Morgan State University 

Saint Mary's College 

Salisbury State College 

Towson State University 

University of BaUimore 

University of Mar>'land: 

Baltimore City 

Baltimore County 

College Park 

Eastem Shore 

MICHIGAN 

Central Michigan University 

Delta College 

Eastem Michigan University 

Ferris State College 

Grand Valley Stale College 

Hope College 

Lansing Community College 

Macomb Community College 

Michigan State University 

Michigan Technological University 
Northem Michigan University 

Oakland University 

Saginaw Valley State College 

University Of Michigan, Flint 

Western Michigan University 

MINNESOTA 

University of Minnesota 

MISSISSIPPI 

East Mississippi Junior College 

Mississippi State University 

University of Mississippi 

MISSOURI 

University of Missouri: 

Columbia 

Saint Louis 

Washington University 

MONTANA 

Montana State University 

NEBRASKA 

Keamey State College 

University of Nebraska. Lincoln 

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 



39 



31 


18 


11 


8 


26 


19 


20 


13 


8 


7 


7 


6 


12 


9 


25 


13 


51 


42 


12 


8 


17 


14 


17 


16 


7 


6 


11 


2 


32 


23 



44 



18 


12 


16 


14 


40 


9 


28 


7 


29 


16 


17 


11 


17 


12 



299 



Table 73.— Number of Full-time Law Enforcement Employees, Universities and Colleges, October 31, 1988 — Continued 



University/College 



Total 

police 

employees 



Total 
officers 



Total 
civilians 



University/College 



Total 

police 

employees 



Total 
ofTicers 



NEW JERSEY— Continued 



Montclair State College 

New Jersey Institute of Technology .. 
Rutgers University: 

Camden 

Newark 

New Brunswick 

Stockton Stale 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 

State University of New York: 

Amherst 

Binghamton 

Buffalo 

Stony Brook 

Upstate Medical Center 

State University of New York Agricultural and 
Technical College: 

Alfred 

Canton 

Cobleskill 

Delhi 

Farmingdale 

State University of New York College: 

Brockport 

Buffalo 

Cortland 

Environmental Science And Forestry 

Fredonia 

Geneseo 

Old Westbury 

Oneonta 

Oswego 

Pittsburgh 

Potsdam 

Purchase 

Utica-Rome 



NORTH CAROLINA 



Appalachian State University 

East Carolina University 

North Carolina State University, Raleigh 
University of North Carolina: 

Asheville 

Chapel Hill 

Charlotte 

Wilmington 

Queens College 

Western Carolina University 



NORTH DAKOTA 

University of North Dakota 



27 
48 

36 
51 
119 
19 
25 

II 

170 

37 

43 



10 



OHIO 



Bowling Green University ... 
Cleveland State University 
Cuyahoga Community College 

Kent State University 

Lakeland Community College 

Miami University 

Ohio State University 

University of Akron 

University of Cincinnati 

University of Toledo 

Wright State University 

Youngstown State University 



OKLAHOMA 



Central State University 

Northeastern Oklahoma State University 

Oklahoma State University 

Putnam City Campus 

Tulsa Junior College 

University of Oklahoma: 

Health Science Center 



Norman 



OREGON 



Oregon State University 

PENNSYLVANU 



Bloomsburg University 

California University 

Cheyney University 

Clarion University 

East Stroudsburg University 

Edinboro University 

Elizabethtown College 

Indiana University 

Kutztown University 

Lehigh University 

Lincoln University 

Lock Haven University 

Mansfield University 

MiUersville University 

Moravian College 

Pennsylvania State University: 

Altoona Campus 

Behrend College 

Capital Campus 

McKeesport 

University Park 

Shippensburg University 

Slippery Rock University 

University of Pittsburgh, Bradford 
West Chester University 



RHODE ISLAND 



University of Rhode Island 

SOUTH CAROUNA 



Clemson University 

Medical University of South Carolina 
University of South Carolina: 

Columbia 

Spartanburg 

Trident Technical College 

Winthrop College 



48 



20 



300 



"able 73. — Number of Full-time Law Enforcement Employees, Universities and Colleges, October 31, 1988 — Continued 



University/College 



TENNESSEE 



.usiin Peay State University 

asi Tennessee State University 
■liddle Tennessee State University 
Iniversity of Tennessee: 

KnoxviUe 

Martin 

Memphis 



TEXAS 



Jvin Community College 

.ngelo State University 

■aylor University 

.astfield College 

ast Texas State University 

amar University 

■IcLennan Community College 

Midwestern State University 

•lorth Harris County College 

lorth Texas State University 

■an American University 

lichland College 

outhem Methodist University 

outh Plains College 

outhweslem University 

outhwest Texas Stale University 

tephcn F. Austin State University 

ul Ross State University 

arleton State University 

exas Arts and Industries University ... 
exas A and M University 

College Station 

Galveston 

"exas Christian University 

"exas College Osteo. Med 

"exas Southern University 

"exas State Technical Institute: 

Amarillo 

Waco 

Texas Tech. Health Science Center 

Texas Tech. University 

Texas Woman's University 

Tyler Junior College 

Jniversity of Houston: 

Central Campus 

Clear Lake 

Downtown Campus 

Jniversity of Texas: 

Arlington 

Austin 

Dallas 

El Paso 

Galveston 

Health Science Center, San Antonio 

Houston 

Permian Basin 

San Antonio 

Southwest Medical School 



Total 

police 

employees 



11 

29 

9 

19 

19 

3 

8 

9 

29 

15 

11 

31 

4 

5 

28 

29 

7 

11 

18 

65 

7 
27 
18 
26 

7 

14 
25 
43 
24 

6 

60 

19 

17 

51 
158 
26 
44 
70 
41 
165 
11 
27 
39 



Total 
officers 



Total 
civilians 



5 


3 


9 


2 


18 


11 


8 


1 


14 


5 


11 


8 


1 


2 


7 


1 


6 


3 


17 


12 


12 


3 


9 


2 


16 


15 


4 




s 




18 


10 


16 


13 


6 


1 


9 


2 


13 


5 


42 


23 


6 


1 


15 


12 


11 


7 


15 


11 


7 




12 


2 


U 


14 


27 


16 


13 


11 


5 


1 


39 


21 


12 


7 


11 


6 


22 


29 


66 


92 


6 


20 


13 


31 


23 


47 


17 


24 


49 


116 


2 


9 


10 


17 


15 


24 



University/College 



UTAH 



Brigham Young University 

Salt Lake Community College .. 

University of Utah 

Utah State University 

Utah Valley Community College 
Weber State College 



VIRGINIA 



Christopher Newport College 

College of William and Mary 

George Mason University 

James Madison University 

Longwood College 

Mary Washington College 

Old Dominion University 

Radford University 

Thomas Nelson Community College ... 

University of Richmond 

University of Virginia 

Virginia Commonwealth University — 
Virginia Polytechnic Institute and State 

University 

Virginia Western Community College 

WASHINGTON 



Central Washington University 
University of Washington — 
Washington State University 



WT:ST VIRGINIA 



Concord College 

Glenville State College 

Marshall University 

West Liberty State College 

West Virginia Tech 

West Virginia State College 
West Virginia University .. 



WISCONSIN 



University of Wisconsin: 

Eau Claire 

Green Bay 

Madison 

Milwaukee 

Oshkosh 

Parkside 

V/hitewater 



WYOMING 

University of Wyoming 



Total 

police 

employees 



Total 
officers 



21 



10 


8 


10 


1 


96 


38 


35 


31 


13 


12 


11 


8 


15 


11 



Total 
civilians 



121 



301 



Table 74. — Number of Full-time Law Enforcement 


Employees, Suburban Counties 


October 31, 1988 










County by State 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


County by State 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


County by State 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


ALABAMA 

Autauga 


20 
93 
21 
49 
31 
16 
23 
48 
96 
497 
39 
89 
236 
168 
51 
23 
64 
91 
36 

1,655 
857 

22 
35 
25 
47 
18 
18 
235 
34 
45 
60 

712 

84 

509 

143 

418 

418 

5.987 

182 

96 

289 

74 

1.290 

207 

801 

884 

1.058 

1,063 

341 

17