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U.S.  Department  of  Justice 

Federal  Bureau  of  Investigation 


e  in  the  United  Stites  1991.  Un. 


V 


Crime  in  the 
United  States 
1991 


Uniform 
^  Crime  Reports 


Release  Date 
Sunday 
August  30,  1992 


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I      SUMMARY 


I     CRIME  INDEX 


I     CRIMES  CLEARED 


I       PERSONS  ARRESTED 


:-^' 


JUVENILES  AND  VIOLENCE 


NFORCEMENT  PERSONNEL 


I     APPENDICES 


Uniform  Crime  Reporting  Data  Providers  Advisory  Policy  Board 


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Reports 

for  the  United  States 

1991 


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I      SUMMARY 


I     CRIME  INDEX 


I     CRIMES  CLEARED 


PERSONS  ARRESTED 


I      JUVENILES  AND  VIOLENCE 


I      LAW  ENFORCEMENT  PERSONNEL 

Printed  V^^^^^^^^^^^t^^^a^t^^^am 

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Federal  Bureau  of  Investigation 
U.S.  Department  of  Justice 
Washington,  D.C.  20535 

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 


I     APPENDICES 


For  sale  by  the  Superintendent  of  Documents,  U.S.  Government  Printing  Office,  Washington,  D.C.  20402 


FOREWORD 

Essential  to  law  enforcement  planning  and  policy  is  timely  and  accurate 
information.  Administered  by  the  FBI  since  1930,  the  Uniform  Crime 
Reporting  (UCR)  Program  has  provided  an  important  component  of  this 
information.  Throughout  the  decades,  continual  effort  has  been  made  to 
improve  quality,  coverage,  and  presentation  of  the  crime  data  supplied  to  the 
Program  by  law  enforcement  agencies  across  the  country. 

Enhancements — As  part  of  that  effort,  several  enhancements  have  been 
made  to  this  year's  Crime  in  the  United  States.  Among  the  changes  are  an 
expansion  in  the  time  period  for  which  Crime  Index  figures  are  presented, 
improved  measures  of  seasonal  variations  in  crime,  enhanced  references  to 
tables  and  graphics,  and  more  information  about  murder. 

New  Feature — A  new  feature  is  an  examination  of  a  currently  important 
topic.  This  year's  focus  is  upon  arrests  for  juvenile  violent,  drug,  and  weapon 
offenses  during  the  past  25  years. 

Telephone  Guide — While  this  publication  provides  a  weahh  of 
information,  many  users  will  desire  additional  detail  and  explanation.  To 
assist  these  users,  as  well  as  data  providers  with  questions  concerning  data 
submissions,  a  telephone  guide  has  been  included  to  facilitate  inquiries. 

Future  Reports — Crucial  to  future  reports,  although  not  evident  in  this 
year's  publication,  has  been  increasing  participation  in  the  National  Incident- 
Based  Reporting  System  (NIBRS),  which  will  greatly  expand  the  available 
knowledge  of  crime  in  the  United  States.  Likewise,  collection  of  information 
about  prejudice-motivated  crimes  in  the  United  States  was  begun  during  1991, 
thereby  establishing  a  basis  for  examining  trends.  This  first  year's  information 
will  appear  in  a  separate  report. 

The  FBI,  through  UCR,  is  committed  to  working  with  other  law 
enforcement  agencies  throughout  the  Nation  to  obtain  criminal  justice 
information  which  has  never  before  been  available  but  is  needed  for  effective 
law  enforcement. 


^A.JX^ 


William  S.  Sessions 
Director 


UI 


CRIME  FACTORS 


Each  year  when  Crime  in  the  United  Slates  is  published,  many  entities-news  media,  tourism  agencies, 
and  others  with  an  interest  in  crime  in  our  Nation-compile  rankings  of  cities  and  counties  based  on  their 
Crime  Index  figures.  These  simplistic  and/or  incomplete  analyses  often  create  misleading  perceptions 
which  adversely  affect  cities  and  counties,  along  with  their  residents.  Assessing  criminality  and  law 
enforcement's  response  from  jurisdiction  to  jurisdiction  must  encompass  many  elements,  some  of  which, 
while  having  significant  impact,  are  not  readily  measurable  nor  applicable  pervasively  among  all  locales. 
Geographic  and  demographic  factors  specific  to  each  jurisdiction  must  be  considered  and  applied  if  crime 
assessment  is  to  approach  completeness  and  accuracy.  There  are  several  sources  of  information  which  may 
assist  the  responsible  researcher.  The  U.S.  Bureau  of  the  Census  data,  for  example,  can  be  utilized  to  better 
understand  the  makeup  of  a  locale's  population.  The  transience  of  the  population,  its  racial  and  ethnic 
makeup,  its  composition  by  age  and  gender,  education  levels,  and  prevalent  family  structures  are  all  key 
factors  in  assessing  and  better  understanding  the  crime  issue. 

The  National  League  of  Cities  provides  information  regarding  the  economic  and  cultural  makeup  of 
cities  and  counties.  Understanding  a  jurisdiction's  industrial/economic  base,  its  dependence  upon 
neighboring  jurisdictions,  its  transportation  system,  its  economic  dependence  on  nonresidents  (such  as 
tourists  and  convention  attendees),  its  proximity  to  military  reservations,  etc.,  all  help  in  better  gauging 
and  interpreting  the  crime  known  to  and  reported  by  law  enforcement.  More  detailed  information  can,  of 
course,  be  obtained  from  a  city's  or  county's  chamber  of  commerce,  planning/information  office,  or  other 
similar  entity. 

The  strength  (personnel  and  other  resources)  and  the  aggressiveness  of  a  jurisdiction's  law  enforcement 
agency  are  also  key  factors.  While  information  pertaining  to  the  number  of  sworn  and  civilian  law 
enforcement  employees  can  be  found  in  this  publication,  assessment  of  the  law  enforcement  emphases  is, 
of  course,  much  more  difilcult.  For  example,  one  city  may  report  more  crime  than  a  comparable  one,  not 
because  there  is  more  crime,  but  rather  because  its  law  enforcement  agency  through  proactive  efforts,  such 
as  "sting  operations,"  identifies  more  offenses.  Attitudes  of  the  citizens  toward  crime  and  their  crime 
reporting  practices,  especially  concerning  more  minor  offenses,  have  an  impact  on  the  volume  of  crimes 
known  to  police. 

It  is  incumbent  upon  all  data  users  to  become  as  well  educated  as  possible  about  how  to  categorize  and 
quantify  the  nature  and  extent  of  crime  in  the  United  States  and  in  any  of  the  over  16,000  jurisdictions 
represented  by  law  enforcement  contributors  to  this  Program.  This  is  only  possible  with  careful  study  and 
analysis  of  the  various  unique  conditions  affecting  each  local  law  enforcement  jurisdiction. 

Historically,  the  causes  and  origins  of  crime  have  been  the  subjects  of  investigation  by  varied 
disciplines.  Some  factors  which  are  known  to  affect  the  volume  and  type  of  crime  occurring  from  place  to 
place  are: 

Population  density  and  degree  of  urbanization  with  size  of  locality  and  its  surrounding  area. 

Variations  in  composition  of  the  population,  particularly  youth  concentration. 

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

Modes  of  transportation  and  highway  system. 

Economic  conditions,  including  median  income,  poverty  level,  and  job  availability. 

Cultural  factors  and  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). 

Citizens'  attitudes  toward  crime. 

Crime  reporting  practices  of  the  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,  metropolitan  areas,  states,  or  colleges  and  universities  solely  on  the  basis 
of  their  population  coverage  or  student  enrollment. 


Data  users  are  cautioned  against  comparisons  of  crime  trends  presented  in  this  report  and  those 
estimated  by  the  National  Crime  Victimization  Survey  (NCVS),  administered  by  the  Bureau  of  Justice 
Statistics.  Because  of  differences  in  methodology  and  crime  coverage,  the  two  programs  examine  the 
Nation's  crime  problem  from  somewhat  different  perspectives,  and  their  results  are  not  strictly 
comparable.  The  definitional  and  procedural  differences  can  account  for  many  of  the  apparent 
discrepancies  in  results  from  the  two  programs.  Appendix  IV,  "The  Nation's  Two  Crime  Measures," 
contains  a  detailed  description  of  the  NCVS  and  UCR. 


VI 


CONTENTS 

Page 

Section  I — Summary  of  the  Uniform  Crime  Reporting  Program    1-3 

Section  II — Crime  Index  Offenses  Reported    4-201 

Narrative  comments: 

Crime  Index  Total    5-9 

Violent  Crime:    10-12 

Murder  and  nonnegligent  manslaughter  1 3-22 

Forcible  rape  23-25 

Robbery  26-30 

Aggravated  assault    31  -34 

Property  Crime:  35-37 

Burglary  38-42 

Larceny-theft    43-48 

Motor  vehicle  theft   49-52 

Arson  53-56 

Crime  Index  Tabulations  57 

Charts: 

Crime  clock,  1991    4 

Crime  Index  total,  variation  from  monthly  average  7 

Crime  Index  total,  1987-1991    7 

Crime  Index  offenses,  percent  distribution,  1991    8 

Regional  violent  and  property  crime  rates,  1991    9 

Violent  crime,  variation  from  monthly  average   12 

Violent  crime,  1987-1991   12 

Murder,  variation  from  monthly  average  15 

Murder,  1987-1991    15 

Forcible  rape,  variation  from  monthly  average  25 

Forcible  rape,  1987-1991    25 

Robbery,  variation  from  monthly  average  28 

Robbery,  1 987-1 99 1    28 

Robbery  analysis,  1987-1991   30 

Aggravated  assault,  variation  from  monthly  average    33 

Aggravated  assault,  1987-1991   33 

Property  crime,  variation  from  monthly  average  37 

Property  crime,  1987-1991    37 

Burglary,  variation  from  monthly  average  40 

Burglary,  1987-1991    40 

Burglary  analysis,  1987-1991    41 

Larceny-theft,  variation  from  monthly  average   45 

Larceny-theft,  1987-1991   45 

Larceny  analysis,  1987-1991    46 

Larceny  analysis,  1991    47 

Motor  vehicle  theft,  variation  from  monthly  average   51 

Motor  vehicle  theft,  1987-1991  51 


vu 


Page 
Tables: 

Crime  Index  total  by  month,  percent  of  annual  total,  1987-1991    

Violent  crime  total  by  month,  percent  of  annual  total,  1987-1991  

Murder: 

By  month,  percent  of  annual  total,  1987-1991    

Age,  sex,  and  race  of  victims,  1 99 1    

Age,  sex,  and  race  of  offenders,  1991   

Victim/offender  relationship  by  age,  1991    

Victim/offender  relationship  by  race  and  sex,  1991    

Type  of  weapons  used,  1991  

Victims,  type  of  weapons  used,  1987-1991   

Victims — weapons  used,  1 99 1    

Circumstances  by  relationship,  1991   

Circumstances  by  weapon,  1 99 1   

Circumstances,  1987-1991    

Circumstances  by  victim  sex,  1991 

Justifiable  homicide  by  weapon,  1987-1991: 

Law  enforcement   

Private  citizen    

Forcible  rape,  by  month,  percent  of  annual  total,  1987-1991    

Robbery: 

By  month,  percent  of  annual  total,  1987-1991    

Percent  distribution,  region,  1991   

Percent  distribution,  population  group,  1991    

Type  of  weapons  used,  1991   

Aggravated  assault: 

By  month,  percent  of  annual  total,  1987-1991    

Type  of  weapons  used,  1991   

Property  crime  total  by  month,  percent  of  annual  total  1987-1991   

Burglary,  by  month,  percent  of  annual  total,  1987-1991    

Larceny-theft: 

By  month,  percent  of  annual  total,  1987-1991    

By  region,  1991    

Motor  vehicle  theft: 

By  month,  percent  of  annual  total,  1987-1991    

By  region,  1991    

Arson,  1991: 

Rate,  population  group  

Type  of  property   

Structures  not  in  use    

Monetary  value  of  property  damaged    

Offenses  cleared  by  arrest    

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

Index  of  crime: 

United  States,  1972-1991    

United  States,  1991   

Regional  offense  and  population  distribution,  1991    

Region,  geographic  division,  and  state,  1990-1991   .■. 

State,  1991    

Metropolitan  Statistical  Areas,  1991    79-106 

United  States,  offense  analysis,  1987-1991    107 

Number  of  offenses  known  to  the  police,  1991: 

Cities  and  towns  10,000  and  over  in  population    108-156 

Universities  and  colleges  157-165 

Suburban  counties  1 66- 1 78 

Rural  counties  25,000  and  over  in  population    179-185 

viii 


Page 
Tables — Continued 

Crime  trends,  offenses  known  to  the  police,  1990-1991: 

Population  group   186-187 

Suburban  and  nonsuburban  cities,  population  group   188 

Suburban  and  nonsuburban  counties,  population  group    189 

Offense  breakdown,  population  group   1 90- 1 9 1 

Crime  rates,  offenses  known  to  the  police,  1991: 

Population  group   192-193 

Suburban  and  nonsuburban  cities,  population  group   194 

Suburban  and  nonsuburban  counties,  population  group    195 

Offense  breakdown,  population  group   196-197 

Murder,  state,  type  of  weapon,  1991  198 

Robbery,  state,  type  of  weapon,  1 99 1    1 99 

Aggravated  assault,  state,  type  of  weapon,  1 99 1    200 

Offense  analysis,  1991,  and  percent  change  from  1990    201 

Type  and  value  of  property  stolen  and  recovered,  1991    201 

Section  III— Crime  Index  Offenses  Cleared  202-211 

Narrative  comments  202 

Chart: 

Crimes  cleared  by  arrest,  1991   203 

Tables: 

Offenses  known  and  percent  cleared  by  arrest,  1991: 

Population  group   204-205 

Geographic  region  and  division    206-207 

Offense  breakdown,  population  group   208-209 

Offenses  cleared  by  arrest  of  persons  under  1 8  years  of  age,  1991    210-211 

Section  IV — Persons  Arrested 212-278 

Narrative  comments  212-213 

Tables: 

Arrests  for  drug  abuse  violations,  1991  212 

Total  estimated  arrests.  United  States,  1991    213 

Arrests,  number  and  rate,  1991: 

Region  214 

Population  group   215-216 

Total  arrest  trends: 

1982-1991  217 

Sex,  1982-1991    218 

1987-1991  219 

Sex,  1987-1991    220 

1990-1991  221 

Sex,  1990-1991    222 

Total  arrests,  1991: 

Distribution  by  age    223-224 

Male  arrests,  distribution  by  age   225-226 

Female  arrests,  distribution  by  age    227-228 

Of  persons  under  15,  18,  21,  and  25  years  of  age  229 

Distribution  by  sex    230 

Distribution  by  race    231-233 

City  arrest  trends: 

1990-1991   234 

Sex,  1990-1991    235 

City  arrests,  1991: 

Distribution  by  age    236-237 

Of  persons  under  15,  18,  21,  and  25  years  of  age  238 

ix 


Page 
Tables — Continued 

Distribution  by  sex    239 

Distribution  by  race    240-242 

Suburban  county  arrest  trends: 

1990-1991   243 

Sex,  1990-1991    244 

Suburban  county  arrests,  1991: 

Distribution  by  age    245-246 

Of  persons  under  15,  18,  21,  and  25  years  of  age  247 

Distribution  by  sex    248 

Distribution  by  race   249-25 1 

Rural  county  arrest  trends: 

1990-1991  252 

Sex,  1990-1991    253 

Rural  county  arrests,  1991: 

Distribution  by  age 254-255 

Of  persons  under  15,  18,  21,  and  25  years  of  age  256 

Distribution  by  sex    257 

Distribution  by  race    258-260 

Suburban  area  arrest  trends: 

1990-1991  261 

Sex,  1990-1991    262 

Suburban  area  arrests,  1991: 

Distribution  by  age    263-264 

Of  persons  under  15,  18,  21,  and  25  years  of  age   265 

Distribution  by  sex    266 

Distribution  by  race    267-269 

Arrests  by  state,  1991   270-277 

Police  disposition  of  juvenile  offenders  taken  into  custody,  1991   278 

Section  V — Juveniles  and  Violence  279-289 

Narrative  comments  279-289 

Charts: 

Juvenile  violent  crime  arrest  rates.  United  States: 

1965-1990  280 

By  race,  1965-1990    280 

Juvenile  murder  arrest  rates.  United  States: 

1965-1990  281 

By  race,  1965-1990    281 

Juvenile  forcible  rape  arrest  rates,  United  States: 

1965-1990  282 

By  race.  1965-1990    282 

Juvenile  robbery  arrest  rates.  United  States: 

1965-1990  284 

By  race,  1965-1990    284 

Juvenile  aggravated  assault  arrest  rates.  United  States: 

1965-1990  285 

By  race,  1965-1990    ,.  285 

Juvenile  heroin/cocaine  arrest  rates  by  race.  United  States,  1965-1990    286 

Juvenile  marijuana  arrest  rates  by  race.  United  States,  1965-1990  286 

Juvenile  synthetic  drug  arrest  rates  by  race.  United  States,  1965-1990    287 

Juvenile  nonnarcotic  drug  arrest  rates  by  race.  United  States,  1965-1990   287 

Juvenile  weapon  violations  arrest  rates.  United  States: 

1965-1990  288 

By  race,  1965-1990    288 

Table: 

Percent  changes  in  juvenile  arrest  rates  for  crimes  related  to  violence,  United  States,  1990  over  1980    ..  289 

X 


Page 

Section  VI — Law  Enforcement  Personnel    290-375 

Narrative  comments  290 

Tables: 

Full-time  law  enforcement  employees,  October  31,  1991: 
Employees,  number  and  rate  per  1,000  inhabitants,  geographic  region  and  division  by  population 

group  291 

Officers,  number  and  rate  per  1,000  inhabitants,  geographic  region  and  division  by  population 

group  292 

Employees,  range  in  rate  per  1,000  inhabitants   293 

Officers,  range  in  rate  per  1,000  inhabitants    294 

Employees,  percent  male  and  female   295 

Civilian  employees,  percent  of  total,  population  group    295 

State  law  enforcement  agencies   296 

States   297 

Cities    298-356 

Universities  and  colleges  357-36 1 

Suburban  counties  362-365 

Rural  counties    366-375 

Section  VII — Appendices    376-395 

Appendix  I — Methodology    376-382 

Appendix  II — Offenses  in  Uniform  Crime  Reporting    383-384 

Appendix  III — Uniform  Crime  Reporting  Area  Definitions   385-387 

Appendix  IV — The  Nation's  Two  Crime  Measures   388-389 

Appendix  V — Directory  of  Uniform  Crime  Reporting  Programs  390-394 

Appendix  VI — National  Uniform  Crime  Reporting  Program  Directory   395 


XI 


SECTION  I 

Summary  of  the  Uniform  Crime  Reporting  Program 


The  Uniform  Crime  Reporting  (UCR)  Program  is  a 
nationwide,  cooperative  statistical  effort  of  over  16,000 
city,  county,  and  state  law  enforcement  agencies  volun- 
tarily reporting  data  on  crimes  brought  to  their  attention. 
During  1991,  law  enforcement  agencies  active  in  the  UCR 
Program  represented  approximately  241  million  inhabi- 
tants of  the  United  States,  or  96  percent  of  the  total 
population  as  established  by  the  Bureau  of  the  Census.  The 
coverage  amounted  to  98  percent  of  the  United  States 
population  living  in  Metropolitan  Statistical  Areas  (MSAs), 
91  percent  of  the  population  in  cities  outside  metropolitan 
areas,  and  88  percent  of  the  rural  population. 

Since  1930,  the  FBI  has  administered  the  Program  and 
issued  periodic  assessments  of  the  nature  and  type  of  crime 
in  the  Nation.  While  the  Program's  primary  objective  is  to 
generate  a  reliable  set  of  criminal  statistics  for  use  in  law 
enforcement  administration,  operation,  and  management, 
its  data  have  over  the  years  become  one  of  the  country's 
leading  social  indicators.  The  American  public  looks  to 
UCR  for  information  on  fluctuations  in  the  level  of  crime, 
while  criminologists,  sociologists,  legislators,  municipal 
planners,  the  press,  and  other  students  of  criminal  justice 
use  the  statistics  for  varied  research  and  planning  pur^ 
poses. 

Historical  Background 

Recognizing  a  need  for  national  crime  statistics,  the 
International  Association  of  Chiefs  of  Police  (lACP) 
formed  the  Committee  on  Uniform  Crime  Records  in  the 
1920s  to  develop  a  system  of  uniform  police  statistics. 
Establishing  offenses  known  to  law  enforcement  as  the 
appropriate  measure,  the  Committee  evaluated  various 
crimes  on  the  basis  of  their  seriousness,  frequency  of 
occurrence,  pervasiveness  in  all  geographic  areas  of  the 
country,  and  likelihood  of  being  reported  to  law  enforce- 
ment. After  studying  state  criminal  codes  and  making  an 
evaluation  of  the  recordkeeping  practices  in  use,  the 
Committee  in  1929  completed  a  plan  for  crime  reporting 
which  became  the  foundation  of  the  UCR  Program. 

Seven  offenses  were  chosen  to  serve  as  an  Index  for 
gauging  fluctuations  in  the  overall  volume  and  rate  of 
crime.  Known  collectively  as  the  Crime  Index,  these 
ofTenses  included  the  violent  crimes  of  murder  and  non- 
negligent  manslaughter,  forcible  rape,  robbery,  and  aggra- 
vated assault  and  the  property  crimes  of  burglary,  larceny- 
theft,  and  motor  vehicle  theft.  By  congressional  mandate, 
arson  was  added  as  the  eighth  Index  offense  in  1979. 

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


a  national  total.  Further,  because  of  the  variances  in 
punishment  for  the  same  offenses  in  different  state  codes, 
no  distinction  between  felony  and  misdemeanor  crimes 
was  possible.  To  avoid  these  problems  and  provide  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,  1 988.  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. 

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  Cam- 
bridge, Massachusetts,  overseen  by  the  FBI,  BJS,  and  a 
Steering  Committee  comprised  of  prestigious  individuals 
representing  a  myriad  of  disciplines,  commenced  the  first 
phase  in  1982. 

During  the  first  phase,  the  historical  evolution  of  the 
Program  was  examined.  All  aspects  of  the  Program, 
including  the  objectives  and  intended  user  audience,  data 
items,  reporting  mechanisms,  quality  control,  publications 
and  user  services,  and  relationships  with  other  criminal 
justice  data  systems,  were  studied. 

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

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

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

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

The  final  report,  the  "Blueprint  for  the  Future  of  the 
Uniform  Crime  Reporting  Program,"  was  released  in  the 
summer  of  1985.  It  specifically  outlined  recommendations 
for  an  expanded,  improved  UCR  Program  to  meet  infor- 
mational needs  into  the  next  century.  There  were  three 
recommended  areas  of  enhancement  to  the  UCR  Program. 
First,  reporting  of  offenses  and  arrests  would  be  made  by 
means  of  an  incident-based  system.  Second,  collection  of 
data  would  be  accomplished  on  two  levels.  Agencies  in 
level  one  would   report   important   details  about   those 


offenses  comprising  the  current  Crime  Index,  their  victims, 
and  arrestees.  Law  enforcement  agencies  covering  popula- 
tions of  over  100,000  and  a  sampling  of  smaller  agencies 
would  be  included  in  level  two,  which  would  collect 
expanded  detail  on  all  significant  offenses.  The  third 
proposal  involved  introducing  a  quality  assurance  pro- 
gram. 

One  of  the  first  actions  taken  by  the  FBI  to  begin 
implementation  was  to  award  a  contract  for  the  develop- 
ment of  new  offense  definitions  and  data  elements  for  the 
redesigned  system.  The  work  involved:  (a)  revision  of  the 
definitions  of  certain  Index  offenses;  (b)  identification  of 
additional  significant  offenses  to  be  reported;  (c)  refining 
definitions  for  both;  and  (d)  development  of  data  elements 
(incident  details)  for  all  UCR  offenses  in  order  to  fulfill  the 
requirements  of  incident-based  reporting  versus  the  cur- 
rent summary  reporting. 

Concurrent  with  the  preparation  of  the  data  elements, 
the  FBI  studied  the  various  state  systems  to  select  an 
experimental  site  for  implementation  of  the  redesigned 
Program.  In  view  of  its  long-standing  incident-based 
Program  and  well-established  staff  dedicated  solely  to 
UCR,  the  South  Carolina  Law  Enforcement  Division 
(SLED)  was  chosen.  The  SLED  agreed  to  adapt  its  existing 
system  to  meet  the  requirements  of  the  redesigned  Pro- 
gram and  collect  data  on  both  offenses  and  arrests  relating 
to  the  newly  defined  offenses. 

To  assist  SLED  in  conducting  the  pilot  project,  offense 
definitions  and  data  elements  developed  under  the  private 
contract  were  put  at  the  staffs  disposal.  Also,  the  FBI's 
Technical  Services  Division  developed  "Automated  Data 
Capture  Specifications"  for  use  in  adapting  the  state's  data 
processing  procedures  to  incorporate  the  revised  system. 
The  BJS  supplied  funding  to  facilitate  needed  software 
revisions.  Testing  of  the  new  Program  was  completed  in 
late  1987. 

Following  the  completion  of  the  pilot  project  conducted 
by  SLED,  the  FBI  produced  a  draft  set  of  guidelines  for  an 
enhanced  UCR  Program.  Law  enforcement  executives 
from  around  the  country  were  then  invited  to  a  conference 
in  Orange  Beach,  Alabama,  where  the  guidelines  were 
presented  for  final  review. 

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

Information  about  the  redesigned  UCR  Program,  called 
the  National  Incident-Based  Reporting  System  or  NIBRS, 
is  contained  in  four  documents  produced  subsequent  to  the 
Orange  Beach  Conference.  Volume  1,  Data  Collection 
Guidelines,  contains  a  system  overview  and  descriptions  of 
the  offenses,  offense  codes,  reports,  data  elements,  and 
data  values  used  in  the  system.  Volume  2,  Data  Submission 


Specifications,  is  for  the  use  of  state  and  local  systems 
personnel  who  are  responsible  for  preparing  magnetic 
tapes/floppy  disks/etc,  for  submission  to  the  FBI.  Volume 
3,  Approaches  to  Implementing  an  Incident-Based  Report- 
ing (IBR)  System,  is  for  use  by  computer  programmers, 
analysts,  etc.,  responsible  for  developing  a  state  or  local 
IBR  system  which  will  meet  NIBRS'  reporting  require- 
ments. Volume  4,  Error  Message  Manual,  contains  desig- 
nations of  mandatory  and  optional  data  elements,  data 
element  edits,  and  error  messages. 

A  new  NIBRS  edition  of  the  UCR  Handbook  has  been 
produced  to  assist  law  enforcement  agency  data  contribu- 
tors implementing  NIBRS  within  their  departments.  This 
document  is  geared  toward  familiarizing  local  and  state 
law  enforcement  personnel  with  the  definitions,  policies, 
and  procedures  of  NIBRS.  It  does  not  contain  the  technical 
coding  and  data  transmission  requirements  presented  in 
Volumes  1-4. 

NIBRS  will  collect  data  on  each  single  incident  and 
arrest  within  22  crime  categories.  For  each  offense  known 
to  police  within  these  categories,  incident,  victim,  proper- 
ty, offender,  and  arrestee  information  will  be  gathered 
when  available.  The  goal  of  the  redesign  is  to  modernize 
crime  information  by  collecting  data  presently  maintained 
in  law  enforcement  records;  the  enhanced  UCR  Program 
is,  therefore,  a  byproduct  of  current  records  systems.  The 
integrity  of  UCR's  long-running  statistical  series  will,  of 
course,  be  maintained. 

It  became  apparent  during  the  development  of  the 
prototype  system  that  the  level  one  and  level  two  reporting 
proposed  in  the  "Blueprint"  may  not  be  the  most  practical 
approach.  Many  state  and  local  law  enforcement  adminis- 
trators indicated  that  the  collection  of  data  on  all  pertinent 
offenses  could  be  handled  with  more  ease  than  could  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  four 
state-level  UCR  Programs  (Alabama,  Idaho,  North  Dako- 
ta, and  South  Carolina)  are  now  supplying  data  in  the 
NIBRS  format.  An  additional  13  state  agencies  and  the 
Department  of  the  Interior  have  submitted  test  tapes 
containing  the  expanded  data.  Twenty-seven  other  Pro- 
grams are  in  various  stages  of  planning  and  development, 
with  eight  of  those  expected  to  submit  test  tapes  during 
1992. 


Recent  Developments 

HATE  CRIME  STATISTICS— The  Hate  Crime  Statis- 
tics Act,  passed  by  the  U.  S.  Congress  and  signed  by  the 
President  in  April,  1990,  mandates  a  5-year  data  collec- 
tion of  crimes  motivated  by  religious,  ethnic,  racial,  or 
sexual-orientation  prejudice.  Collection  commenced 
January  1,  1991,  and  the  UCR  Program  has  distributed 
hate  crime  Data  Collection  Guidelines  and  Training  Guides 
to  city,  county,  and  state  law  enforcement  agencies. 
Regional  training  sessions  have  been  held  across  the 
Nation  to  assist  state-level  UCR  Programs  with  implemen- 
tation among  their  jurisdictions  and  to  prepare  state  UCR 
personnel  to  train  local  law  enforcement  representatives 
within  their  respective  states.  Additional  sessions  are  being 
held  for  local  law  enforcement,  either  in  conjunction  with 
their  regular  periodic  UCR  training  or  separately  in  FBI- 
sponsored  seminars  dealing  solely  with  bias  crime  report- 
ing. A  hate  crime  "resource  book,"  which  draws  together 
all  the  data  now  being  maintained  at  the  state  and  local 
levels  concerning  the  incidence  of  hate  crimes,  is  being 
published  in  the  summer  of  1992.  This  publication  will 
precede  the  FBI's  first  issuance  of  statistics  gathered  under 
the  UCR  hate  crime  collection,  which  is  scheduled  for  late 
1992. 

LAW  ENFORCEMENT  OFFICERS  KILLED  AND 
ASSAULTED — The  UCR  collection  of  data  on  law  en- 
forcement officers  killed  and  assaulted  was  modified  with 
the  1991  reporting  year.  Data  on  officers'  slayings  are 
expanded  to  include  more  information  about  the  circum- 
stances at  the  scene,  the  interaction  between  the  victim  and 
assailant,  the  weapons  used,  etc.  An  addition  to  the 
Program,  a  collection  of  information  on  serious  assaults, 
has  been  developed  and  is  pending  final  approval.  Data 
identical  to  those  collected  on  officers  killed  will  be 
requested  on  all  assaults  resulting  in  injury  and  during 
which  a  firearm  or  knife  was  used.  The  assault  information 
will  be  solicited  from  all  levels  of  law  enforcement  in  a 
manner  similar  to  the  current  practice  concerning  officers 
killed.  Initial  notification  will,  of  course,  be  gleaned  from 
the  monthly  reports  on  ofTicers  killed  and  assaulted 
submitted  by  all  UCR  contributors. 

CRIME  IN  THE  UNITED  STATES— Several  changes 
have  been  made  in  this  year's  edition  of  Crime  in  the 
United  States  to  improve  the  quality  of  the  publication.  For 
example,  tables  containing  frequently  requested  data  not 
before  included  in  the  book  have  been  added,  and  some 
presentations  have  been  modified  or  relocated  in  an 
attempt  to  make  the  publication  easier  to  use.  Additional 
changes  are  scheduled  for  the  1992  issue. 


CRIME  CLOCK 

1991 


one 
MURDER 

every  21  minutes 


one 
FORCIBLE  RAPE 

every  5  minutes 


one 
VIOLENT  CRIME 

every  1 7  seconds 


one 
ROBBERY 

every  46  seconds 


one 
AGGRAVATED  ASSAULT 

every  29  seconds 


one 
CRIME  INDEX  OFFENSE 

every  2  seconds 


one 
PROPERTY  CRIME 

every  2  seconds 


one 
BURGLARY 

every  1 0  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  regularity  in  the 
commission  of  the  Part  I  Offenses;  rather,  it 
represents  the  annual  ratio  of  crime  to 
fixed  time  intervals. 


one 
MOTOR  VEHICLE  THEFT 

every  1 9  seconds 


SECTION  II 
Crime  Index  Offenses  Reported 

CRIME  INDEX  TOTAL 


DEFINITION 


The  Crime  Index  is  composed  of  selected  offenses  used  to  gauge  fluctuations  in  the 
overall  volume  and  rate  of  crime  reported  to  law  enforcement.  The  offenses  included 
are  the  violent  crimes  of  murder  and  nonnegligent  manslaughter,  forcible  rape, 
robbery,  and  aggravated  assault  and  the  property  crimes  of  burglary,  larceny-theft, 
motor  vehicle  theft,  and  arson. 


TRFNn 

Year 
1990  

Number  of  offenses' 
14.475.613 

Rate  per  100.000 
inhabitants' 
5.820.3 
5.897.8 
+1.3 

1991  

14.872,883 

Percent  change   

+2.7 

'Does  not  include  arson-  See  page  57 

The  Crime  Index  total  rose  3  percent  over  1990  to  nearly 
15  million  offenses  reported  to  law  enforcement  in  1991. 
Index  increases  ranged  from  2  percent  in  the  Nation's 
cities  to  5  percent  in  rural  counties.  Five-  and  10-year 
percent  changes  showed  the  1991  experience  was  10 
percent  above  the  1987  level  and  15  percent  higher  than  in 
1982. 

Geographically,  the  largest  volume  of  Crime  Index 
offenses  was  reported  in  the  Southern  States,  which 
accounted  for  37  percent  of  the  total.  Following  were  the 
Western  States  with  24  percent,  the  Midwestern  States 
with  21  percent,  and  the  Northeastern  States  with  18 
percent.  All  regions  except  the  Northeast  showed  Crime 
Index  increases  from  1990  to  1991.  (See  Table  4.) 

Crime  Index  offenses  occurred  most  frequently  in  Au- 
gust while  the  lowest  totals  were  recorded  in  February. 

Table  2.1— Crime  Index  Total  by  Month,  1987-1991 

[Percent  of  annual  total] 


Months 


January    ... 
February  .. 

March    

April  

May  

June    

July   

August    . . . . 
September 
October  ... 
November 
December  . 


1987 


7.8 
7.5 
8.3 
7.9 
8.1 
8.4 
8.9 
9.1 
8.4 
8.5 
8.2 
8.9 


1988 


7.8 
7.5 
8.1 
7.7 
8.2 
8.3 
9.0 
9.5 
8.6 
8.7 
8.3 
8.5 


1989 


8.2 
7.2 
8.2 
7.8 
8.5 
8.5 
9.2 
9.3 
8.4 
8.7 
8.1 
7.9 


1990 


8.3 

7.4 
8.2 
7.9 
8.3 
8.3 
8.9 
9.1 
8.4 
8.7 
8.2 
8.6 


1991 


7.9 
7.4 
8.1 
8.0 
8.4 
8.5 
9.1 
9.2 
8.4 
8.7 
8.0 
8.3 


Rate 

Crime  rates  relate  the  incidence  of  crime  to  population. 
Nationwide  in  1991,  there  were  an  estimated  5,898  Crime 
Index  offenses  for  each  100,000  in  population.  The  Crime 
Index  rate  was  highest  in  metropolitan  areas  and  lowest  in 
rural  counties.  (See  Table  2.)  Overall,  the  1991  Crime 
Index  rate  was  1  percent  higher  than  in  1991,  6  percent 
higher  than  in  1987,  and  5  percent  above  the  1982  total. 

Regionally,  the  Crime  Index  rates  ranged  from  6,478  in 
the  West  to  5,155  in  the  Northeast.  The  2-year  percent 
changes  showed  a  1 -percent  rate  decline  in  the  Northeast 
and  increases  in  the  remaining  regions.  (See  Table  4.) 

Nature 

The  Crime  Index  is  composed  of  violent  and  property 
crime  categories,  and  in  1991,   13  percent  of  the  Index 


offenses  reported  to  law  enforcement  were  violent  crimes 
and  87  percent,  property  crimes.  Larceny-theft  was  the 
offense  with  the  highest  volume,  while  murder  accounted 
for  the  fewest  offenses.  (See  Chart  2.4.) 

Property  estimated  in  value  at  $16.7  billion  was  stolen  in 
connection  with  all  Crime  Index  offenses,  with  the  largest 
losses  due  to  thefts  of  motor  vehicles;  jewelry  and  precious 
metals;  and  televisions,  radios,  stereos,  etc.  Law  enforce- 
ment agencies  nationwide  recorded  a  38-percent  recovery 
rate  for  dollar  losses  in  connection  with  stolen  property. 
The  highest  recovery  percentages  were  for  stolen  motor 
vehicles,  consumable  goods,  livestock,  clothing  and  furs, 
and  firearms.  (See  Table  24.) 

Law  Enforcement  Response 

Law  enforcement  agencies  nationwide  recorded  a  21- 
percent  clearance  rate  for  the  -  collective  Crime  Index 
offenses  in  1991  and  made  an  estimated  3  million  arrests 
for  Index  crimes.  Crimes  can  be  cleared  by  arrest  or  by 
exceptional  means  when  some  element  beyond  law  en- 
forcement control  precludes  the  placing  of  formal  charges 
against  the  offender.  The  arrest  of  one  person  may  clear 
several  crimes,  or  several  persons  may  be  arrested  in 
connection  with  the  clearance  of  one  offense. 

The  Index  clearance  rate  has  remained  relatively  stable 
throughout  the  past  10-year  period.  Similar  to  the  1991 
experience,  it  was  21  percent  in  1987  and  20  percent  in 
1982. 

Arrests  for  Index  crimes  were  up  2  percent  in  1991  as 
compared  to  1990.  Considering  longer  timeframes,  law 
enforcement  agencies  in  1991  made  13  and  18  percent 
more  arrests  than  in  the  years  1987  and  1982,  respectively. 

When  compared  to  1990  figures,  3-percent  increases  in 
arrests  for  murder  and  robbery  were  shown  in  1991,  and 
the  only  Crime  Index  offense  indicating  a  decrease  in 
arrests  was  motor  vehicle  theft,  2  percent.  Adult  arrests  for 
Index  crimes  were  up  less  than  1  percent,  while  those  of 
juveniles  rose  5  percent.  The  largest  increases  in  juvenile 
arrests  were  shown  in  arson  with  1 1  percent  and  robbery  at 
10  percent. 

As  in  past  years,  larceny-theft  arrests  accounted  for  the 
highest  volume  of  Crime  Index  arrests  at  over  1.2  million. 
(See  Table  42.) 


Percent 
20 


CRIME  INDEX 

CHART  2.2 

VARIATION  FROM  MONTHLY  AVERAGE 

1991 


Percent 
10 

9 

8 

7 

6 

5 

4 

3 

2 

1 

0 
1987 


CHART  2.3 

PERCENT  CHANGE  from  1987 


H^^  s 

I                3 

)                5                 t 

0 
> 

Number  of  Offenses 
Known -Up  10% 


Rate  per  100,000 
Inhabitants  -  Up  6% 


1988 


1989 


1990 


1991 


CRIME  INDEX  OFFENSES 


1991 

Percent  Distribution 


Robbery 
5% 


Forcible 

Rape 

1% 


Assravated 

Assault 

7% 


Burslary 
21% 


Murder 
>.2% 


Motor 
Vehicle 
Theft 
11% 


Larceny-Theft 
55% 


CHART  2.5 


REGIONAL  VIOLENT 
AND  PROPERTY  CRIME  RATES 


1991 

per  1 00,000  inhabitants 


Violent  Crime  Rate 


Property  Crime  Rate 


VIOLENT  CRIME  TOTAL 


DEFINITION 


Violent  crime  is  composed  of  four  offenses:  murder  and  nonnegligent  manslaugh- 
ter, forcible  rape,  robbery,  and  aggravated  assault.  All  violent  crimes  involve  force  or 
threat  of  force. 


TREND 


Year  Number  of  offenses 

1990  1.820.127 

1991  1.911.767 

Percent  change   +5.0 


Rate  per  100.000 

inhabitants 

731.8 

758.1 

+3.6 


10 


Violent  crimes  reported  to  law  enforcement  during  1991 
exceeded  1.9  million  offenses.  The  annual  total  was  the 
highest  ever  recorded,  up  5  percent  over  1990,  29  percent 
over  1987,  and  45  percent  over  1982.  From  1990  to  1991 
the  Nation's  cities  collectively  recorded  a  5-percent  rise, 
while  the  rural  and  suburban  counties  recorded  increases 
of  6  and  4  percent,  respectively. 

Regionally,  the  South,  the  most  populous  region,  ac- 
counted for  36  percent  of  all  violent  crimes  reported  in 
1991.  Lesser  volumes  of  24  percent  for  the  West  and  20 
percent  for  both  the  Northeast  and  Midwest  were  recorded. 
Three  of  the  four  regions  registered  increases  in  the 
numbers  of  violent  crimes  reported  from  1990  to  1991. 
The  Northeastern  States  experienced  a  less  than  1 -percent 
decline.  (See  Table  4.) 

Violent  crimes  occur  more  frequently  in  the  summer 
months,  while  the  lowest  totals  are  experienced  during  the 
winter. 

Table  2.2— Violent  Crime  Total  by  Month,  1987-1991 

[PercenI  of  annual  total] 


Months 


January   . . . 
February  . . 

March    

April  

May  

June    

July   

August   

September 
October     . . 
November 
December  . 


1987 


7.9 
7.4 
8.0 
7.9 
8.4 
8.5 
9.0 
9.2 
8.5 
8.6 
8.1 
8.7 


1988 


7.7 
7.3 
7.9 
7.7 
8.4 
8.4 
9.3 
9.4 
8.9 
8.7 
8.0 
8.3 


1989 


8.0 
6.9 
7.9 
7.9 
8.4 
8.4 
9.2 
9.0 
8.8 
9.1 
8.4 
8.2 


1990 


7.9 
6.9 
7.8 
7.8 
8.5 
8.8 
9.5 
9.1 
8.8 
8.5 
7.9 
8.4 


1991 


7.6 
7.0 
7.8 
7.8 
8.6 
8.7 
9.2 
9.5 


8.0 
8.2 


Rate 

During  1991,  an  all-time  high  of  758  violent  crimes  was 
reported  to  law  enforcement  for  every  100,000 
United  States  inhabitants.  The  1991  violent  crime  rate  was 
4  percent  higher  than  the  1990  rate,  24  percent  above  the 
1987  rate,  and  33  percent  above  the  1982  figure.  The 
violent  crime  rate  was  highest  in  the  Nation's  cities, 
collectively  registering  1,015  offenses  per  100,000  popula- 
tion. The  suburban  counties'  rate  was  470,  and  for  rural 
counties,  it  was  214. 


The  Western  States  registered  the  highest  overall  violent 
crime  rate  per  100,000  inhabitants,  841,  and  the  Midwest- 
em  States  the  lowest,  631.  Among  the  geographic  regions, 
only  the  Northeast  experienced  a  rate  decline,  1  percent. 
The  increases  in  the  other  regions  were  4  percent  in  the 
South  and  West  and  6  percent  in  the  Midwest.  (See  Table 
4.) 

Nature 

Aggravated  assaults  accounted  for  57  percent  of  the 
violent  crimes  reported  to  law  enforcement  during  1991. 
Robberies  comprised  36  percent;  forcible  rapes,  6  percent; 
and  murders,  1  percent. 

While  data  concerning  weapons  used  in  connection  with 
forcible  rape  are  not  collected,  firearms  were  the  weapons 
used  in  3 1  percent  of  all  murders,  robberies,  and  aggravat- 
ed assaults,  collectively,  in  1991.  Knives  or  cutting  instru- 
ments were  used  in  1 5  percent;  other  dangerous  weapons  in 
22  percent,  and  personal  weapons  (hands,  fists,  feet,  etc.)  in 
32  percent.  The  proportion  of  violent  crimes  committed 
with  firearms  has  increased  in  recent  years.  In  1987, 
firearms  were  employed  in  the  commission  of  26  percent  of 
violent  offenses. 

Law  Enforcement  Response 

The  1991  violent  crime  clearance  rate  was  45  percent, 
down  from  46  percent  in  1990.  Conversely,  the  number  of 
arrests  for  violent  crimes  rose  2  percent  in  the  same  period. 
Adult  arrests  showed  virtually  no  change  from  1990  to 
1991,  while  those  of  juveniles  (under  age  18)  increased  8 
percent.  (See  Section  IV,  Persons  Arrested.) 

Violent  crime  arrests,  1991  versus  1990,  were  up  1 
percent  in  cities  overall,  2  percent  in  suburban  counties, 
and  5  percent  in  rural  counties. 

In  1991,  there  were  an  estimated  718,890  persons 
arrested  for  violent  crime.  Violent  crime  arrests  accounted 
for  5  percent  of  the  total  arrests  for  all  offenses.  Males 
made  up  88  percent  of  all  violent  crime  arrestees  and 
whites,  54  percent.  (See  Tables  42  and  43.) 


11 


VIOLENT  CRIME 


CHART  2.6 


VARIATION  FROM  MONTHLY  AVERAGE 

1991 


Percent 
30 


CHART  2.7 

PERCENT  CHANGE  from  1987 


Number  of  Offenses 
Known  -  Up  29% 


Rate  per  100,000 
Inhabitants  -  Up  24% 


1987 


1988 


1989 


1990 


1991 


12 


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 

1990  23.438 

1991  24,703 

Percent  change   +5.4 


Rale  per  100.000 
inhabitants 
9.4 
9.8 

+4.3 


13 


Reaching  an  all-time  high  during  1991,  the  total  number 
of  murders  in  the  United  States  for  the  year  was  estimated 
at  24,703.  More  persons  were  murdered  in  August  than  any 
other  month  in  1991,  while  the  fewest  were  killed  during 
February. 

Table  2.3— Murder  by  Month,  1987-1991 

[Percent  of  annual  total] 


Months 


January  ... 
February  . 
March    — 

April   

May  

June    

July   

August   — 
September 
October  ... 
November 
December  . 


1987 


7.7 
7.9 
8.2 
7.5 
8.6 
7.8 
8.6 
8.9 
8.3 
8.8 
8.3 
9.1 


1988 


8.2 
7.2 
7.7 
7.7 
7.8 
7.7 
8.9 
9.5 
8.9 
8.9 
8.2 
9.2 


1989 


8.1 
7.1 
7.8 
7.9 
7.8 
8.2 
9.1 
9.0 
8.8 
8.9 
8.5 
8.7 


1990 


7.9 
7.0 
8.0 
7.4 
8.1 
8.4 
9.6 
9.3 
9.2 
8.8 
7.6 


1991 


8.0 
7.0 
7.7 
7.8 
8.1 
8.6 
9.1 
9.4 
8.8 
8.6 
7.8 
9.0 


When  viewing  the  four  regions  of  the  Nation,  the 
Southern  States,  the  most  populous,  accounted  for  43 
percent  of  the  murders.  The  Western  States  reported  2 1 
percent;  the  Midwestern  States,  19  percent;  and  the 
Northeastern  States,  1 7  percent.  Among  the  regions,  only 
the  Northeast  registered  a  decline  from  1990  to  1991,  2 
percent.  (See  Table  3.) 

The  murder  volume  was  up  5  percent  nationwide  in 
1991  over  1990.  In  the  Nation's  cities  overall,  murder 
increased  6  percent,  with  the  greatest  increase — 21  per- 
cent— registered  in  cities  with  populations  of  50,000  to 
99,999.  Suburban  counties  recorded  a  2-percent  rise  in 
their  murder  volumes,  while  rural  counties  registered  a  1- 
percent  decrease. 

The  accompanying  chart  reveals  a  23-percent  rise 
nationally  in  the  murder  counts  from  1987  to  1991.  The 
10-year  trend  showed  the  1991  total  18  percent  above  the 
1982  level. 


Rate 

A  murder  rate  of  10  per  100,000  inhabitants  was 
registered  nationwide  in  1991.  Two-,  5-,  and  10-year  trends 
showed  the  1991  rate  was  4  percent  higher  than  in  1990,  19 
percent  above  the  1987  rate,  and  8  percent  higher  than  the 
1982  rate. 

On  a  regional  basis,  the  South  averaged  12  murders  per 
100,000  people;  the  West,  10  per  100,000;  and  the  North- 
east and  Midwest,  8  per  100,000.  Compared  to  1990, 
murder  rates  in  1991  increased  in  three  of  the  four 
geographic  regions  with  the  only  decline  in  the  Northeast,  2 
percent.  (See  Table  4.) 

The  Nation's  metropolitan  areas  reported  a  1991  murder 
rate  of  11  victims  per  100,000  inhabitants.  In  the  rural 
counties,  the  rate  was  6  per  100,000,  and  in  cities  outside 
metropolitan  areas,  the  rate  was  5  per  100,000. 

Nature 

Supplemental  data  provided  by  contributing  agencies 
recorded  information  for  21,505  of  the  estimated  24,703 
murders  in  1991.  Submitted  monthly,  the  data  consist  of 
the  age,  sex,  and  race  of  both  victims  and  offenders;  the 
types  of  weapons  used;  the  relationships  of  victims  to  the 
offenders;  and  the  circumstances  surrounding  the  murders. 

Based  on  this  information,  78  percent  of  the  murder 
victims  in  1991  were  males;  and  89  percent  were  persons 
1 8  years  of  age  or  older.  Forty-eight  percent  were  aged  20 
through  34  years.  Considering  victims  for  whom  race  was 
known,  an  average  of  50  of  every  100  were  black,  47  were 
white,  and  the  remainder  were  persons  of  other  races. 


14 


MURDER 


Percent 
20 


CHART  2.8 

VARIATION  FROM  MONTHLY  AVERAGE 

1991 


Percent 
25 


20 


CHART  2.9 

PERCENT  CHANGE  FROM  1987 


15 


10 


^^^Hi 

>           1 

3               1 

3 
8 

Number  of  Offenses 
Known  -  Up  23% 


Rate  per  100,000 
Infiabitants-Up18% 


1987 


1988 


1989 


1990 


1991 


15 


Table  2.4— Age,  Sex,  and  Race  of  Murder  Victims,  1991 


Total 

Sex 

Race 

Age 

Male 

Female 

Unknown 

White 

Black 

Other 

Unknown 

Total                          

21.505 
100.0 

16.781 
78.0 

4.693 
21.8 

31 
.1 

10.135 

47.1 

10,660 
49.6 

531 
2.5 

179 

.8 

Under  18'  

2,233 
18.898 

1.595 
14.925 

637 
3.971 

I 
2 

1,038 
8,943 

1,131 
9.376 

52 
473 

12 

106 

304 

371 

110 

290 

2,702 

3,948 

3,362 

2,898 

2,145 

1,496 

981 

658 

459 

421 

321 

241 

424 

374 

160 

193 

54 

20! 

2.335 

3.312 

2.703 

2.237 

1,689 

1.148 

744 

515 

346 

302 

226 

156 

199 

261 

143 

178 

56 

89 

367 

636 

659 

660 

456 

347 

237 

143 

113 

119 

95 

85 

225 

85 

1 

178 

178 

66 

152 

1,035 

1,571 

1,450 

1,355 

1,074 

775 

574 

399 

289 

255 

206 

148 

276 

154 

116 

177 

39 

129 

1.600 

2.278 

1.806 

1.455 

994 

666 

374 

-226 

155 

154 

110 

87 

141 

153 

5 
15 
5 
7 
49 
76 
90 
76 
66 
48 
26 
27 

12 
6 

5 

1 

10  to  14             

2 

15  to  19      

18 

20  to  24 

23 

25  to  29                       

16 

30  to  34            

' 

12 

35  to  39 

11 

1 

7 

45  to  49            

7 

50  to  54         

6 

55  to  59 

4 

60  to  64                             

65  to  69            

1 

70  to  74  

1 

4 

28 

61 

'Because  of  rounding,  percentages  may  not  add  to  totals. 
'Does  not  include  unknown  ages. 


Supplemental  data  were  also  reported  for  24,578  murder 
offenders  in  1991.  Of  those  for  whom  sex  and  age  were 
reported,  90  percent  were  males,  and  87  percent  were 
persons  18  years  of  age  or  older.  Seventy-seven  percent 


were  aged  1 5  through  34  years.  Of  offenders  for  whom  race 
was  known,  55  percent  were  black,  43  percent  were  white, 
and  the  remainder  were  persons  of  other  races. 


Table  2.5— Age,  Sex,  and  Race  of  Murder  Offenders,  1991 


'Because  of  rounding,  percentages  may  not  add  to  totals. 
^Does  not  include  unknown  ages. 


Total 

Sex 

Race 

Age 

Male 

Female 

Unknown 

White 

Black 

Other 

Unknown 

Total  

24,578 
100.0 

15.577 
63.4 

1,737 
7.1 

7,264 
29.6 

7,368 
30.0 

9,453 
38.5 

331 
1.3 

7.426 

Percent  distribution'     

30.2 

Under  18'   

2.136 
14.162 

2.009 
12.579 

125 
1.567 

2 
16 

763 
6,294 

1,304 
7,534 

54 
261 

15 

73 

Infant  (under  1) 

1  to  4    

5  to  9 

5 

236 

4,099 

3,950 

2,550 

2,013 

1,238 

819 

500 

313 

195 

135 

100 

65 

79 

8.281 

5 

212 

3.873 

3.631 

2.260 

1.710 

1.034 

688 

421 

267 

167 

112 

81 

61 

65 

990 

3 

81 

1.428 

1,482 

1,187 

984 

640 

432 

280 

193 

120 

77 

53 

44 

53 

311 

1 

143 

2.568 

2.381 

1.310 

974 

567 

360 

204 

115 

72 

52 

45 

21 

24 

615 

1 

9 

77 

71 

38 

45 

28 

22 

10 

4 

3 

6 

10  to  14  

24 

223 

315 

288 

300 

203 

131 

77 

45 

28 

23 

18 

4 

13 

45 

3 

15  to  19  

3 
4 
2 
3 

1 

26 

20  to  24  

16 

25  to  29  

15 

30  to  34  

10 

35  to  39  

3 

40  to  44  

5 

45  to  49    

2 

1 

6 

50  to  54  

1 

55  to  59  

60  to  64  

65  to  69  

1 

2 

70  to  74  

75  and  over  

7,246 

1 
16 

1 

7,338 

16 


Table  2.6 — Victim/Offender  Relationship  by  Age,  1991 

[Single  Victim/Single  Offender] 


Age 

Age  of  Offender 

of 
Victim 

Total 

Under  18 

18  and  over 

Unknown 

10,924 

1,212 

9,605 

107 

983 

295 

679 

9 

9,522 

885 

8,558 

79 

Under  18 

32 

18  and  over    

368 

19 

Data  based  on  incidents  involving  one  victim  and  one 
offender  showed  that  in  1991,  93  percent  of  the  black 
murder  victims  were  slain  by  black  offenders,  and  85 
percent  of  the  white  murder  victims  were  killed  by  white 
offenders.  Likewise,  males  were  most  often  slain  by  males 
(87  percent  in  single  victim/single  offender  situations). 
These  same  data  showed,  however,  that  9  of  every  10 
female  victims  were  murdered  by  males. 

Table  2.7 — Victim/Offender  Relationship  by  Race  and 
Sex,  1991 

[Single  Victim/Single  Offender] 


Viclim 
Race 

Offender 
Race 

Actual 
Number 

Offender 
Sex 

.Actual 
Number 

Total 

White  

Black 

4.399 

691 

60 

44 

Male   

4,627 

White 

Female  

Unknown   . . . 

523 

Victims     5,194 

Other    

Unknown   

44 

Total 

While   

Black  

347 

5,035 

18 

33 

Male   

4,619 

Black 

Female  

Unknown   

781 

Victims     5,433 

Other    

Unknown   — 

33 

Total 

White   

Black 

72 

36 

125 

6 

Male 

21 1 

Other  Race 

Female 

Unknown   — 

•»2 

Victims        239 

Other    

Unknown    — 

6 

Total 

White   

Black 

20 
16 

1 
21 

Male 

33 

Unknown 

Female  

Unknown    . . . . 

4 

Race              58 

Other    

Unknown   . .. . 

21 

Sex 

Total 

White   

Black  

3,447 

4,507 

141 

54 

Male   

7.052 

Male 

Female  

Unknown    

1,043 
54 

Victims     8,149 

Other    

Unknown   

Total 
Female 

White   

Black 

1.371 

1.255 

62 

29 

Male    

Female 

Unknown    .... 

2,405 
■"83 

Victims     2,717 

Other    

Unknown    .... 

29 

Total 

White   

Black  

20 
16 

1 
21 

Male   

33 

Female  

Unknown   

4 

Sex                 58 

Other    

Unknown   

21 

As  in  previous  years,  firearms  were  the  weapons  used  in 
approximately  7  of  every  10  murders  committed  in  the 
United  States.  Of  those  murders  for  which  weapons  were 
reported,  55  percent  were  by  handguns,  5  percent  by 
shotguns,  and  4  percent  by  rifles.  Other  or  unknown  types 
of  firearms  accounted  for  another  5  percent  of  the  total 
murders.  Among  the  remaining  weapons,  cutting  or  stab- 
bing instruments  were  employed  in  16  percent  of  the 
murders;  blunt  objects  (clubs,  hammers,  etc.)  in  5  percent; 
personal  weapons  (hands,  fists,  feet,  etc.)  in  6  percent;  and 
other  dangerous  weapons,  such  as  poison,  explosives,  etc., 
in  the  remainder.  A  state-by-state  breakdown  of  weapons 
used  in  connection  with  murder  is  shown  in  Table  20. 

Table  2.8— Murder,  Type  of  Weapons  Used,  1991 

[Percent  distribution  by  region] 


Knives 

Unknown 

Personal 

Total 

or 

or  other 

weapons 

Region 

all 

Firearms 

culling 

danger- 

(hands, 

weapons' 

instru- 

ous  wea- 

fists, feet. 

ments 

pons 

etc.) 

Total   

100.0 

66.3 

15.8 

12.3 

5  5 

Northeastern  States    

100.0 

64.8 

16.5 

11.5 

7.2 

Midwestern  States  

100.0 

65.3 

14.7 

13.5 

6.5 

100  0 

68  2 

15  9 

Western  States    

100.0 

65.4 

16.2 

12.9 

5  5 

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

Table  2.9 — Murder  Victims,  Type  of  Weapons  Used, 
1987-1991 


Weapons 


Total 


Total  Firearms    

Handguns    

Rifles  

Shotguns  

Other  guns    

Firearms-not  stated    

Knives  or  cutting 

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    


1987 


17,963 


10,612 

7,847 

776 

1,101 

16 

872 

3,643 

1,045 

1,165 

34 

12 

200 

24 

51 

360 

115 

702 


1988 


17,971 


10,895 

8,147 

753 

1,105 

15 

875 

3,457 

1.126 

1,095 
15 
34 

255 
36 
38 

331 
73 

616 


1989 


18,954 


11,832 

9,013 

865 

1,173 

34 

747 

3,458 

1,128 

1,050 

11 

16 

234 

17 

60 

366 

101 

681 


1990 


20,273 


13,035 

10.099 

746 

1,245 

25 

920 

3,526 

1,085 

1.119 
11 
13 

288 
29 
36 

312 
96 

723 


1991 


21.505 


14,265 

11,411 

741 

1,113 

30 

970 

3,405 

1,082 

1,193 

12 

16 

194 

22 

39 

326 

113 

838 


'Pushed  is  included  in  personal  weapons. 


17 


Table  2.10— Murder  Victims— Weapons  Used,  1991 


Total 

Weapons 

Age 

Fire- 
arms 

Knives  or 

cutting 
instruments 

Blunt  objects 

(clubs. 

hammers. 

etc.) 

Personal' 

weapons 

(hands, 

fists,  feet. 

etc.) 

Poison 

Explosives 

Fire 

Narcotics 

Strangu- 
lation 

Asphyxia- 
tion 

Other 
weapon  or 

weapon 
not  stated* 

Total 

21,505 
100.0 

14,265 
66.3 

3.405 
15.8 

1.082 
5.0 

1.193 

5.5 

12 
.1 

16 
.1 

194 
.9 

2*) 
.1 

326 
1.5 

113 

.5 

877 

Percent 
distribution^    

4.1 

Under  18'    

2.233 
18,898 

1,273 
12.794 

188 
3,177 

62 
991 

370 
798 

3 
9 

2 
14 

50 
136 

6 
15 

34 
285 

48 
64 

197 

615 

Infant  (under  1)  

304 

371 

110 

290 

2,702 

3.948 

3.362 

2.898 

2,145 

1,496 

981 

658 

459 

421 

321 

241 

424 

374 

9 

57 

37 

209 

2.252 

3.116 

2.435 

1.966 

1.363 

918 

609 

346 

243 

195 

132 

96 

84 

198 

5 

14 

20 

37 

252 

490 

533 

517 

407 

284 

196 

163 

93 

94 

84 

70 

106 

40 

10 

27 

5 

9 

49 

99 

115 

134 

128 

102 

62 

68 

54 

44 

44 

27 

76 

29 

163 

171 

7 

7 

43 

81 

100 

120 

124 

87 

52 

42 

32 

32 

19 

24 

64 

25 

2 

1 

1 

1 

1 

1 
2 

2 

2 

24 

13 

7 

II 

9 

9 

13 

21 

17 

9 

6 

6 

14 

3 

3 

19 
8 

5 
1 

2 

4 

9 

5 

23 

52 

47 

41 

30 

23 

15 

13 

8 

14 
10 
6 
17 
7 

29 
13 

5 
1 

77 

60 

5  to  9 

14 

10  to  14 

2 

1 

12 

IS  to  19 

70 

20  to  24 

1 

4 
2 
2 

2 

8 
6 
11 

7 
4 
3 
2 

2 
4 
1 
3 

13 
1 

91 

25  to  29   

1 
1 
2 
3 
1 
2 

1 

112 

30  to  34 

92 

35  to  39   

60 

54 

45  to  49                ..     .. 

34 

50  to  54        

16 

55  to  59 

20 

60  to  64 

1 



1 
2 
1 

23 

65  to  69 

1 

26 

70  to  74 

II 

1 

40 

65 

'Pushed  is  included  in  personal  weapons. 

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

'Does  not  include  unknown  ages. 

^Includes  drownings. 


Almost  half  of  the  murder  victims  in  1991  were  either 
related  to  (12  percent)  or  acquainted  with  (34  percent) 
their  assailants.  Fifteen  percent  of  the  victims  were  mur- 
dered by  strangers,  while  the  relationships  among  victims 
and  offenders  were  unknown  for  38  percent  of  the  mur- 
ders. Among  all  female  murder  victims  in  1991,  28  percent 
were  slain  by  husbands  or  boyfriends.  Four  percent  of  the 
male  victims  were  killed  by  wives  or  girlfriends. 


Arguments  resulted  in  32  percent  of  the  murders  during 
the  year.  Twenty-one  percent  occurred  as  a  result  of 
felonious  activities  such  as  robbery,  arson,  etc.,  while 
another  1  percent  were  suspected  to  have  been  the  result  of 
some  felonious  activity.  Three  percent  of  the  murders  were 
committed  during  brawls  while  offenders  were  under  the 
influence  of  alcohol  or  narcotics.  Table  2.13  shows  murder 
circumstances  for  the  past  5  years. 


18 


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Fable  2.13— Murder  Circumstances,  1987-1991 


Table  2.14 — Murder  Circumstances  by  Victim  Sex,  1991 


Total   

Felony  type  total:   

Rape    

Robbery   

Burglary   

Larceny-theft  

Motor  vehicle  theft  

Arson  

Prostitution  and 

commercialized  vice  

Other  sex  offenses  

Narcotic  drug  laws   

Gambling    

Other  -  not  specified   

iuspected  felony  type   

ither  than  felony  type 
total    

Romantic  triangle    

Child  killed  by 

babysitter   

Brawl  due  to  influence  of 

alcohol    

Brawl  due  to  influence  of 

narcotics    

Argument  over  money  or 

property  

Other  arguments  

Gangland  killings    

Juvenile  gang  killings  

Institutional  killings    

Sniper  attack  

Other  -  not  specified   

Unknown  


1987 


17,963 


3,516 

205 

1,676 

225 

18 

30 

159 

22 
32 

885 
23 

241 

202 


9,772 
365 

23 

488 

114 

471 

5.766 

36 

317 

23 

36 

2,133 

4,473 


1988 


18,269 


3,480 

148 

1,522 

214 

16 

32 

186 

15 

62 

1,027 

27 

231 

229 


9,706 
314 

23 

422 

197 

486 

5,460 

45 

372 

21 

55 

2,311 

4,854 


1989 


18,954 


4,049 
131 

1,728 

212 

18 

37 

165 

12 

58 

1,402 

23 

263 

150 


10,270 
385 

24 

432 

306 

551 

5,736 

56 

542 

22 

49 

2,167 

4,485 


1990 


20,273 


4,209 

152 

1,871 

202 

28 

55 

152 

27 

50 

1,367 

I! 

294 

148 


10,889 
407 

34 

533 

242 

514 

6,044 

104 

679 
16 
41 

2,275 

5,027 


1991 


21,505 


4,589 

129 

2,201 

195 

32 

52 

136 

20 

47 

1,344 

33 

400 

209 


11,115 
312 


497 

252 

516 

6,037 

204 

838 

18 

12 

2,398 

5,592 


Total' 


Felony  type  total:  

Rape   

Robbery  

Burglary  

Larceny-theft  

Motor  vehicle  theft    . . . 

Arson    

Prostitution  and 
commercialized  vice 

Other  sex  offenses  

Narcotic  drug  laws   

Gambling    

Other  -  not  specified  .. 

Suspected  felony  type  

Other  than  felony  type 
total   


Romantic  triangle   

Child  killed  by 

babysitter   

Brawl  due  to  influence  of 

alcohol  

Brawl  due  to  influence  of 

narcotics  

Argument  over  money  or 

property    

Other  arguments  

Gangland  killings  

Juvenile  gang  killings    

Institutional  killings   

Sniper  attack    

Other  -  not  specified  


Unknown 


Total 
Murder 
Victims' 


21,505 


4,589 
129 
2,201 
195 
32 
52 
136 

20 

47 

1,344 

33 

400 

209 


11,115 
312 

31 

497 

252 

516 

6,037 

204 

838 

18 

12 

2,398 

5,592 


Male 


16,781 


3,841 

8 

1,868 

122 

30 

43 

85 

3 

25 

1,234 

31 

249 

143 


12,940 
227 

18 

446 

226 

437 

4,666 

193 

798 

16 

8 

1,534 

4,371 


Female 


4,693 


953 

121 

331 

73 

2 

9 

51 

17 
22 

110 
2 

150 

65 

3,740 
85 


26 

79 
1.371 

n 

40 

2 

4 

864 

1,194 


Unknown 


31 


27 


'Total  number  of  murder  victims  for  which  supplemental  homicide  information  was 
received. 


21 


Law  Enforcement  Response 

The  clearance  rate  for  murder  continued  to  be  higher 
than  for  any  other  Crime  Index  offense.  Law  enforcement 
agencies  nationwide  recorded  a  67-percent  clearance  rate 
for  1991.  Eighty  percent  of  murders  in  rural  counties,  67 
percent  of  those  in  suburban  counties,  and  66  percent  of 
those  in  the  Nation's  cities  were  cleared.  Cities  with 
populations  under  25,000  reported  the  most  successful 
clearance  rate,  77  percent.  (See  Table  25.) 

Geographically,  the  South,  the  most  populous  region, 
registered  the  highest  murder  clearance  rate,  71  percent. 
Following  were  the  Midwestern  States  with  66  percent,  the 
Northeastern  States  with  64  percent,  and  the  Western 
States  with  63  percent. 

Persons  under  1 8  years  of  age  accounted  for  8  percent  of 
the  willful  killings  cleared  by  law  enforcement  nationally, 
as  well  as  in  the  Nation's  cities  and  suburban  counties 
during  1991.  Five  percent  of  the  rural  county  clearances 
involved  only  persons  in  this  young-age  group.  This 
proportion  of  juvenile  involvement  was  lower  than  for  any 
other  Index  offense. 

Fifty-five  percent  of  all  murder  arrestees  in  1991  were 
under  25  years  of  age.  The  18-  to  24-year  age  group 
accounted  for  41  percent  of  the  total.  (See  Table  38.) 

Ninety  percent  of  those  arrested  were  males  and  10 
percent,  females.  Blacks  comprised  55  percent  of  the  total 
arrestees  for  murder  in  1991.  Whites  made  up  43  percent, 
and  the  remainder  were  of  other  races. 

Compared  to  the  1990  level,  the  1991  murder  arrest 
total  increased  3  percent.  Arrests  of  persons  aged  18  and 
over  increased  2  percent,  and  those  of  younger  persons 
were  up  4  percent.  During  the  same  2-year  period,  male 
arrests  increased  3  percent,  while  female  arrests  showed 
virtually  no  change. 

Long-term  trends  indicate  the  1991  murder  arrest  total 
was  28  percent  above  the  1987  level  and  18  percent  higher 
than  the  1982  figure. 


Justifiable  Homicide 

Certain  willful  killings  are  classified  as  justifiable  or 
excusable,  based  on  law  enforcement  investigation.  In 
Uniform  Crime  Reporting,  justifiable  homicide  is  defined 
as  and  limited  to  the  killing  of  a  felon  by  a  law  enforcement 
officer  in  the  line  of  duty,  or  the  killing  of  a  felon,  during 
the  commission  of  a  felony,  by  a  private  citizen.  These 
offenses  are  tabulated  independently  and  are  not  included 
in  the  murder  counts. 

In  1991,  the  justifiable  homicide  total  was  693,  down  3 
percent  from  the  1990  total  of  713  but  27  percent  higher 
than  the  1987  total  of  546.  Of  the  justifiable  homicides  in 
1991,  366  involved  law  enforcement  officers  and  327  were 
by  private  citizens.  Data  on  weapons  used  in  connection 
with  justifiable  homicide  showed  that  handguns  were  the 
weapons  used  most  often.  (See  Tables  2.15  and  2.16.) 

Table  2.15 — Justifiable  Homicide  by  Weapon,  Law 
Enforcement,'  1987-1991 


Firearm 

Knife  or 

Other 

type 

cutting 

danger- 

Firearm 

not 

instru- 

ous 

Personal 

Year 

Total 

lolal 

Handgun 

Rine 

Sholgun 

specified 

ment 

weapon 

weapons 

1987 

300 

297 

234 

10 

38 

15 

1 

1 

1988 

343 

339 

291 

6 

33 

9 

3 

1989 

363 

360 

299 

15 

42 

4 

1 

1990 

385 

382 

345 

8 

19 

10 

1 

1991 

366 

360 

318 

10 

25 

7 

1 

2 

'The  killing  of  a  felon  by  a  law  enforcement  ofTicer  in  the  line  of  duty. 

Table  2.16 — Justifiable  Homicide  by  Weapon,  Private 
Citizen,'  1987-1991 


Firearm 

Knife  or 

Other 

type 

cutting 

danger- 

Firearm 

not 

instru- 

ous 

Personal 

Year 

Total 

total 

Handgun 

Rirte 

Shotgun 

specified 

ment 

weapon 

weapons 

1987 

246 

210 

157 

15 

25 

13 

30 

1 

5 

1988 

238 

199 

144 

19 

32 

24 

9 

6 

1989 

273 

236 

178 

22 

34 

23 

9 

5 

1990 

328 

276 

210 

20 

39 

39 

9 

4 

1991 

327 

292 

240 

15 

24 

13 

29 

4 

2 

'The  killing  of  a  felon  by  a  private  citizen. 


22 


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. 


TRFlNin 

Year 
1990                      

Number  of  offenses 
102.555 

Rate  per  100.000 

inhabitants 

41.2 

42.3 

+2.7 

1991  

Percent  change 

106.593 
+3.9 

23 


An  estimated  106,593  forcible  rapes  were  reported  to 
law  enforcement  agencies  across  the  Nation  during  1991. 
The  1991  total  was  4  percent  higher  than  the  1990  level. 
The  accompanying  chart  (2.11)  shows  consecutive  in- 
creases in  volume  for  the  last  5  years. 

Geographically,  more  forcible  rapes  were  reported  in  the 
Southern  States  than  in  any  other  region,  during  1991.  The 
lowest  number  of  rapes  was  reported  in  the  Northeast.  (See 
Table  4.)  Even  though  the  South  reported  the  largest 
volume  of  rapes,  their  proportion  of  the  total  forcible  rapes 
has  remained  constant  over  the  past  10  years.  The  Midwest 
has  shown  an  increase  in  its  proportion  of  total  rapes,  while 
the  Northeast  and  West  have  shown  declines.  All  geograph- 
ic regions  recorded  increases  in  the  rape  volume  from  1990 
to  1991.  Among  the  population  groupings,  only  cities  with 
populations  over  500,000  recorded  an  increase.  (See  Tables 
4  and  12.) 

Table  2.17— Forcible  Rape  by  Month,  1987-1991 

(Percent  of  annual  total] 


Months 


January  . . . 
Februai>  .. 

March    

April  

May    

June   

July  

August   

September 
October  ... 
November 
December 


1987 


7.2 
6.8 
8.1 
8.2 
8.9 
9.3 
9.7 
9.8 
8.9 
8.1 
7.7 
7.3 


1988 


7.4 
7.3 
8.0 
8.0 
9.0 
8.7 
9.9 
9.8 
9.0 
8.4 
7.6 
6.8 


1989 


7.4 
6.3 
7.7 
8.3 
8.6 
8.9 
10.0 
9.5 
8.8 
8.9 
8.3 
7.3 


1990 


7.6 
6.7 
7.9 
8.1 
9.1 
9.0 
9.6 
9.4 
9.1 
8.4 
7.7 
7.4 


1991 


7.1 
7.0 
7.9 
8.3 
9.2 
9.2 
9.5 
9.7 
8.8 
8.6 
7.8 
6.8 


The  greatest  numbers  of  forcible  rapes  were  reported 
during  the  summer  months. 

Rate 

By  Uniform  Crime  Reporting  definition,  the  victims  of 
forcible  rape  are  always  female.  In  1991,  an  estimated  83  of 
every  100,000  females  in  the  country  were  reported  rape 
victims,  an  increase  of  3  percent  over  the  1990  rate.  Since 
1987,  the  female  forcible  rape  rate  has  risen  13  percent. 

Female  forcible  rape  rates  for  1991  showed  there  were 
91  victims  per  100,000  females  in  MSAs,  67  per  100,000 
females  in  cities  outside  metropolitan  areas,  and  46  per 
100,000  females  in  rural  counties.  Although  MSAs  record- 
ed the  highest  rape  rates,  they  have  shown  the  smallest 
change  over  the  past  10  years.  During  this  time,  the 
greatest  rate  increase  was  shown  in  cities  outside  metropol- 
itan areas,  71  percent.  MSAs  and  rural  areas  showed  lesser 
increases,  19  percent  and  61  percent,  respectively. 

Regionally,  in  1991,  the  highest  female  rape  rate  was  in 
the  Western  States,  which  recorded  91  victims  per  100,000 


females.  Following  were  the  Midwestern  States  with  a  rate 
of  89,  the  Southern  States  with  88,  and  the  Northeastern 
States  with  57.  From  1982-1991,  the  greatest  increase  in 
the  female  rape  rate  was  shown  in  the  Midwest,  followed 
by  the  South,  and  the  Northeast.  The  West  remained  fairly 
stable  over  the  past  10  years. 

Nature 

Rapes  by  force  constitute  the  greatest  percentage  of  total 
forcible  rapes,  86  percent  of  the  1991  experience.  The 
remainder  were  attempts  or  assaults  to  commit  forcible 
rape.  The  number  of  rapes  by  force  increased  4  percent  in 
1991  over  the  1990  volume,  while  attempts  to  rape 
decreased  4  percent.  Ten  years  of  data  show  the  percentage 
of  rapes  by  force  consistently  increasing. 

As  for  all  other  Crime  Index  offenses,  complaints  of 
forcible  rape  made  to  law  enforce,ment  agencies  are  some- 
times found  to  be  false  or  baseless.  In  such  cases,  law 
enforcement  agencies  "unfound"  the  offenses  and  exclude 
them  from  crime  counts.  The  "unfounded"  rate,  or  per- 
centage of  complaints  determined  through  investigation  to 
be  false,  is  higher  for  forcible  rape  than  for  any  other  Index 
crime.  In  1991,  8  percent  of  forcible  rape  complaints  were 
"unfounded,"  while  the  average  for  all  Index  crimes  was  2 
percent. 

Law  Enforcement  Response 

Nationwide,  as  well  as  in  the  cities  and  suburban 
counties,  over  half  of  the  forcible  rapes  reported  to  law 
enforcement  were  cleared  by  arrest  or  exceptional  means  in 
1991.  Rural  county  law  enforcement  agencies  cleared  a 
slightly  higher  percentage  of  the  offenses  brought  to  their 
attention  than  did  city  and  suburban  law  enforcement 
agencies.  (See  Table  25.) 

Clearance  rates  for  the  regions  were  lowest  in  the 
Midwestern  States  and  highest  in  the  Southern  States.  (See 
Table  26.) 

Of  the  total  clearances  for  forcible  rape  in  the  country  as 
a  whole,  13  percent  involved  only  persons  under  18  years 
of  age.  The  percentage  of  juvenile  involvement  varied  by 
community  type.  (See  Table  28.) 

The  number  of  arrests  for  forcible  rape  rose  1  percent 
nationwide.  Increases  were  also  experienced  in  the  Na- 
tion's cities  and  rural  counties  from  1990  to  1991,  while 
forcible  rape  arrests  were  down  1  percent  in  the  suburban 
counties.  (See  Tables  36,  44,  50,  and  56.) 

Of  the  forcible  rape  arrestees  in  1991,  about  3  of  every 
10  were  in  the  18-  to  24-year  age  group.  Over  half  of  those 
arrested  were  white.  (See  Tables  38  and  43.) 


24 


FORCIBLE  RAPE 


CHART  2. 10 

VARIATION  FROM  MONTHLY  AVERAGE 

1991 


Percent 
20 


CHART  2.11 

PERCENT  CHANGE  from  1987 


Number  of  Offenses 
Known -UP  17% 


Rate  per  100,000 
Inhabitants -UP  13% 


1991 


25 


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 

1990  639.271 

1991  687,732 

Percent  change   +7.6 


Rate  per  100.000 

inhabitants 

257.0 

272.7 

+6.1 


26 


Accounting  for  5  percent  of  all  Index  crimes  and  36 
percent  of  the  violent  crimes  in  1991,  robbery  was  estimat- 
ed at  687,732  offenses  for  the  year.  Robberies  occurred 
most  frequently  in  October  and  December  and  least  often 
in  April  during  1991. 

Table  2.18— Robbery  by  Month,  1987-1991 

[Percent  of  annual  total] 


Months 


January   ... 
February   . . 

March  

April   

May  

June    

July    

August    — 
September 
October  . . . 
November 
December  . 


1987 


8.9 
8.1 
8.2 
7.5 
7.5 
7.6 
8.3 
8.7 
8.5 
8.8 
8.5 
9.2 


1988 


8.6 
7.9 
8.0 
7.3 
7.6 
7.6 
8.4 
8.7 
8.7 
9.1 
9.0 
9.2 


1989 


8.8 
7.4 
8.0 
7.3 
7.6 
7.6 
8.4 
8.6 
8.6 
9.2 
9.0 
9.3 


1990 


8.7 
7.3 
8.1 
7.2 
7.7 
7.8 
8.5 
8.8 
8.6 
8.9 
8.7 
9.6 


1991 


8.7 
7.5 
8.0 
7.4 
7.8 
7.8 
8.4 
8.8 
8.5 
9.2 
8.7 
9.2 


Nationally,  the  1991  robbery  volume  was  8  percent 
higher  than  the  1990  level.  During  the  same  time  period, 
robberies  were  up  11  percent  in  the  rural  counties,  10 
percent  in  the  suburban  counties,  and  7  percent  in  the 
Nation's  cities  overall.  (See  Table  12.) 

Distribution  figures  for  the  regions  showed  that  the  most 
populous  Southern  States  registered  32  percent  of  all 
reported  robberies.  (See  Table  3.)  Two-year  trends  show 
the  number  of  robberies  in  1991  was  up  in  three  of  the  four 
regions  as  compared  to  1990.  The  increases  were  12 
percent  in  the  West,  13  percent  in  the  Midwest,  and  8 
percent  in  the  South.  The  Northeast  showed  no  change 
during  the  same  time  period. 

Chart  2.13  depicts  the  national  trend  in  the  robbery 
volume,  as  well  as  the  robbery  rate,  for  the  years  1987- 
1991.  In  1991,  the  number  of  robbery  offenses  was  33 
percent  higher  than  in  1987  and  24  percent  above  the  1982 
total. 

Rate 

The  national  robbery  rate  in  1991  was  273  per  100,000 
people,  6  percent  higher  than  in  1990.  In  metropolitan 
areas,  the  robbery  rate  was  341;  in  cities  outside  metropoli- 
tan areas,  it  was  70;  and  in  the  rural  areas,  it  was  17.  With 


1,189  robberies  per  100,000  inhabitants,  the  highest  rate 
was  recorded  in  cities  with  a  million  or  more  inhabitants. 
(See  Table  16.) 

A  comparison  of  1990  and  1991  regional  rates  per 
100,000  inhabitants  indicated  the  rate  of  287  in  the  West 
jumped  9  percent;  the  rate  of  223  in  the  Midwest  was  up  12 
percent;  and  the  rate  of  252  in  the  South  increased  6 
percent.  The  Northeast's  rate  of  352  was  less  than  I  percent 
lower  than  the  previous  year. 

Nature 

In  1991,  a  total  estimated  national  loss  of  S562  million 
was  due  to  robberies.  The  value  of  property  stolen  during 
robberies  averaged  $817  per  incident.  Average  dollar  losses 
ranged  from  $387  taken  during  robberies  of  convenience 
stores  to  $3,177  per  bank  robbery.  (See  Table  23.)  The 
impact  of  this  violent  crime  on  its  victims  cannot  be 
measured  in  terms  of  monetary  loss  alone.  While  the  object 
of  a  robbery  is  to  obtain  money  or  property,  the  crime 
always  involves  force  or  threat  of  force,  and  many  victims 
suffer  serious  personal  injury. 

As  in  previous  years,  robberies  on  streets  or  highways 
accounted  for  more  than  half  (56  percent)  of  the  offenses  in 
this  category.  Robberies  of  commercial  and  financial 
establishments  accounted  for  an  additional  22  percent,  and 
those  occurring  at  residences,  10  percent.  The  remainder 
were  miscellaneous  types.  By  type,  all  categories  of  robbery 
showed  increases  from  1 990  to  1991.  The  increases  ranged 
from  2  percent  for  convenience  store  robberies  to  17 
percent  for  bank  robberies.  (See  Table  23.) 

Table  2.19— Robbery,  Percent  Distribution,  1991 

[By  region] 


United 
States 
Total 

North- 
eastern 
States 

Mid- 
western 
States 

Southern 
States 

Western 
States 

Total'    

100.0 

100.0 

100.0 

100.0 

100.0 

Street/highway       

56.2 
11.7 
2.6 
5.7 
9.8 
1.6 
12.3 

64.8 
9.8 
2.2 
2.2 
9.7 
.9 

10.4 

59.1 
10.4 
3.1 
3.2 
9.1 
1.0 
14.0 

49.9 
12.2 

2.7 
10.2 
11.6 

1.4 
11.9 

52.1 

Commercial  house  

Gas  or  service  station  — 
Convenience  store    

14.2 
2.5 
6.1 
8.2 

Bank                          

3.1 

13.8 

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


27 


ROBBERY 


Percent 
35 


1987 


CHART  2.12 

VARIATION  FROM  MONTHLY  AVERAGE 

1991 


A  A  A  A 


U 
G 

U 
S 

T 


S 

E 
P 
T 
E 
/v\ 
B 
E 
R 


O 

C 
T 
O 
B 
E 
R 


N 
O 
V 

E 
S\ 

B 
E 
R 


D 

E 
C 
E 
AA 
B 
E 
R 


CHART  2.13 


PERCENT  CHANGE  FROM  1987 


PI 


Number  of  Offenses 
Known  -  Up  33% 


Rate  per  100,000 
Inhabitants  -  Up  28% 


1988 


1989 


1990 


1991 


28 


Table  2.20— Robbery,  Percent  Distribution,  1991 

[By  population  group] 


Group  I  (60 

cities.  250.000 
and  over; 
population 
44,147.000) 

Group  II  (120 
cities.   100.000  lo 
249.999;  popula- 
tion  17,602,000) 

Group  III  (331 
cities.  50,000  to 

99,999;  popula- 
tion 22,640,000) 

Group  IV  (639 
cities,  25.000  to 

49.999;  popula- 
tion 22,197,000) 

Group  V  (1.505 
cities.  10,000  to 
24,999;  popula- 
tion 23,785.000) 

Group  VI  (6.027 
cities  under 
10.000;  popula- 
tion 20,730,000) 

County 

agencies 

(3.672  agencies; 

population 

71.004.000) 

Total' 

100.0 

100.0 

100.0 

100.0 

100.0 

100.0 

100.0 

63.0 
10.2 
1.9 
3.4 
9.3 
1.1 
11.1 

54.6 
13.0 
2.7 
7.8 
9.4 
2.1 
10.3 

49.2 
14.1 
3.3 
8.1 
9.3 
2.5 
13.6 

44.6 
14.1 
4.1 
8.7 
9.6 
2.9 
16.1 

37.5 
14.6 

5.2 
111 
10.6 

2.6 
18.4 

31.0 
13.9 

4.9 
13.0 
11.7 

3.0 
22.6 

36.7 

15.1 

4.5 

12.4 

13.6 

Bank 

2.4 

Miscellaneous        

15.3 

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

Forty  percent  of  all  robberies  in  1991  were  committed 
through  the  use  of  strong-arm  tactics  and  another  40 
percent  were  by  firearms.  Knives  or  cutting  instruments 
were  used  in  1 1  percent,  and  other  dangerous  weapons  in 
the  remainder.  A  comparison  of  1990  and  1991  robbery 
totals  by  weapon  showed  those  by  firearms  were  up  17 
percent;  those  by  other  dangerous  weapons  rose  3  percent; 
and  those  by  strong-arm  tactics  increased  1  percent. 
Robberies  by  knives  or  cutting  instruments  showed  the 
only  decline,  2  percent.  A  state-by-state  breakdown  of 
weapons  used  in  robberies  in  1991  is  shown  in  Table  21. 

Table  2.21— Robbery,  Type  of  Weapons  Used,  1991 

[Percent  distribution  by  region] 


Total 

all 

weapons' 

Armed 

Region 

Fire- 
arms 

Knives  or 
cutting 
instru- 
ments 

Other 
weapons 

Strong- 
armed 

Total   

100.0 

39.9 

11.0 

9.3 

39.8 

Northeastern  States  

Midwestern  States   

Southern  States 

100.0 
100.0 
100.0 
100.0 

37.6 
42.3 
44.3 
35.4 

13.8 
8.4 
9.0 

12.0 

8.4 
10.4 

8.7 
10.5 

40.2 
38.9 
37.9 

42.2 

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


Law  Enforcement  Response 

The  1991  national  robbery  clearance  rate  was  24  percent 
nationwide,  as  well  as  in  cities  collectively.  Suburban 


county  agencies  cleared  27  percent,  while  the  highest 
robbery  clearance  rate — 40  percent — was  registered  by 
rural  county  law  enforcement  agencies.  (See  Table  25.) 
Regional  robbery  clearance  percentages  ranged  from  21 
percent  in  the  Midwest  to  26  percent  in  the  South.  (See 
Table  26.) 

Nationally  and  in  cities,  persons  under  the  age  of  18 
were  the  offenders  in  13  percent  of  all  1991  robbery 
clearances.  This  age  group  accounted  for  1 8  percent  of  the 
suburban  county  clearances  and  1 1  percent  of  the  rural 
county  clearances. 

Arrests  for  robbery  rose  3  percent  nationwide  during 
1991  when  compared  to  1990.  For  the  same  2-year  period, 
increases  in  the  number  of  persons  arrested  for  robbery 
were  2  percent  in  the  cities  collectively,  12  percent  in  the 
suburban  counties,  and  18  percent  in  the  rural  counties. 

Sixty-two  percent  of  all  robbery  arrestees  in  1991  were 
under  25  years  of  age,  and  91  percent  were  males.  Sixty- 
one  percent  of  those  arrested  were  black,  38  percent  were 
white,  and  the  remainder  were  of  other  races. 

The  total  number  of  robbery  arrests  was  up  27  percent 
during  the  5-year  period,  1987-1991.  For  the  same  time- 
span,  arrests  of  females  for  robbery  jumped  31  percent, 
and  male  arrests  increased  27  percent.  Juvenile  arrests  rose 
52  percent,  and  those  of  persons  18  years  of  age  and  older 
increased  20  percent. 


29 


street  Robbery 


Commercial  House  Robbery 


1987 


Up  38% 


1988      1989 


1990 


1991 


0 

1987 


Up  31% 


1988      1989     1990     1991 


Gas  Station  Robbery 


Convenience  Store  Robbery 


12 
10 
8 
6 
4 
2 
0 
-2 


1988 


1991 


Residence  Robbery 


Banl<  Robbery 


Up  50% 


1987 


1988     1989     1990 


1991 


1988     1989     1990     1991 


30 


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 

1990  1.054.863 

1991  1.092.739 

Percent  change  +3.6 


Rate  per  100.000 

inhabitants 

424.1 

433.3 

+2.2 


31 


Totaling  an  estimated  1,092,739  offenses  nationally, 
aggravated  assaults  in  1991  accounted  for  57  percent  of  the 
violent  crimes.  Geographic  distribution  figures  show  that 
39  percent  of  the  aggravated  assault  volume  was  accounted 
for  by  the  most  populous  South,  25  percent  by  the  West,  20 
percent  by  the  Midwest,  and  17  percent  by  the  Northeast. 
Among  the  regions,  only  the  Northeast  registered  a  decline 
in  aggravated  assaults.  (See  Table  3.) 

The  1991  monthly  figures  show  that  the  greatest  number 
of  aggravated  assaults  was  recorded  during  August,  while 
the  lowest  volume  occurred  in  February. 

Table  2.22— Aggravated  Assault  by  Month,  1987-1991 

[Percent  of  annual  total] 


Months 


January   ... 
February  .. 

March  

April   

May  

June    

July   

August    

September 
October  ... 
November 
December  . 


1987 


7.3 
7.0 
7.8 
8.1 
8.9 
8.9 
9.5 
9.5 
8.7 
8.5 
7.9 
7.8 


1988 


7.2 
7.0 
7.9 
8.1 
8.9 
9.0 
9.8 
9.8 
9.0 
8.4 
7.5 
7.5 


1989 


7.5 
6.6 
7.9 
8.1 
8.9 
8.9 
9.6 
9.2 
8.8 
9.1 
7.9 
7.5 


1990 


7.4 
6.7 
7.8 
8.2 
9.0 
9.4 
10.1 
9.3 
8.9 
8.3 
7.4 
7.5 


1991 


6.9 
6.6 
7.7 
8.1 
9.1 
9.3 
9.7 
9.9 
9.0 
8.6 
7.6 
7.6 


In  1991,  aggravated  assaults  were  up  4  percent  nation- 
wide as  compared  to  1990.  For  the  same  time  period,  cities 
collectively  experienced  a  3-percent  increase  in  the  aggra- 
vated assauh  volume,  with  cities  from  250,000  to  499,999 
recording  the  greatest  rise,  8  percent.  Cities  with  popula- 
tions from  500,000  to  999,999  experienced  the  only 
decline,  2  percent.  The  suburban  counties  registered  a  2- 
percent  increase  and  the  rural  counties,  a  5-percent  rise  for 
the  2-year  period.  (See  Table  12.) 

Five-  and  10-year  trends  for  the  country  as  a  whole  show 
aggravated  assaults  up  28  percent  above  the  1987  level  and 
63  percent  over  the  1982  experience.  (See  Table  1.) 

Rate 

Up  2  percent  above  the  1990  rate,  there  were  433 
reported  victims  of  aggravated  assault  for  every  100,000 


people  nationwide  in  1991.  The  rate  was  23  percent  higher 
than  in  1987  and  50  percent  above  the  1982  rate. 

Higher  than  the  national  average,  the  rate  in  metropoli- 
tan areas  was  487  per  100,000  in  1991.  Cities  outside 
metropolitan  areas  experienced  a  rate  of  372,  and  rural 
counties,  a  rate  of  170. 

Regionally,  the  aggravated  assault  rates  ranged  from  498 
per  100,000  people  in  the  West  to  355  per  100,000  in  the 
Midwest.  Compared  to  1990,  1991  aggravated  assault  rates 
were  up  in  three  of  the  four  regions,  with  only  the 
Northeast  showing  a  decline,  1  percent.  (See  Table  4.) 

Nature 

In  1991,  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;  firearms  in  24  percent;  and  knives  or  cutting 
instruments  in  the  remainder. 

From  1990  to  1991,  assaults  with  firearms  and  those 
involving  personal  weapons  increased  7  percent.  Those 
committed  with  knives  or  cutting  instruments  were  down  2 
percent,  and  those  involving  blunt  objects  or  other  danger- 
ous weapons  decreased  less  than  1  percent.  Assault  by 
weapon  totals  by  state  for  1991  are  shown  in  Table  22. 

Table  2.23 — Aggravated  Assault,  Type  of  Weapons 
Used,  1991 

[Percent  distribution  by  region] 


Region 

Total 

all 

weapons' 

Fire- 
arms 

Knives  or 
cutting 
instru- 
ments 

Other 

weapons 
(clubs, 
blunt 

objects, 
etc.) 

Personal 
weapons 

Total    

100.0 

23.6 

18.4 

30.8 

27.1 

Northeastern  States    

Midwestern  States    

100.0 
100.0 
100.0 
100.0 

17.1 
26.8 

27.2 
21.3 

21.2 
18.2 
20.2 
14.4 

31.6 
32.5 
30.7 
29.5 

30.1 
22.5 

Southern  States  

21.9 

34.8 

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


32 


Percent 
20 

15 

10 

5 

O 

-5 
-10 
-15 
-20     , 

A 
N 
U 
A 
R 

y 


Percent 
30 


AGGRAVATED  ASSAULT 

CHART  2.15 

VARIATION  FROM  MONTHLY  AVERAGE 

1991 


/-/X, 

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CHART  2.16 


PERCENT  CHANGE  from  1987 

2311^28 


WWW^^^W^^ 


Number  of  Offenses 
Known  -  Up  28% 


Rate  per  100,000 
Inhabitants  -  Up  23% 


1987 


1988 


1989 


1990 


1991 


33 


Law  Enforcement  Response 

During  1991,  law  enforcement  agencies  nationwide 
recorded  a  57-percent  aggravated  assault  clearance  rate. 
The  cities  collectively  reported  55  percent  cleared,  while 
the  suburban  and  rural  county  law  enforcement  agencies 
cleared  62  and  66  percent,  respectively.  Among  the  city 
groupings,  those  with  populations  under  10,000  recorded 
the  highest  clearance  rate,  66  percent.  (See  Table  25.) 

Regional  clearance  percentages  for  aggravated  assault 
were  60  percent  in  the  West,  58  percent  in  the  South,  54 
percent  in  the  Northeast,  and  50  percent  in  the  Midwest. 

Eleven  percent  of  the  clearances  reported  nationally  and 
in  cities  involved  only  persons  under  age  18.  Persons  in 
this  age  group  were  identified  as  the  assailants  in   13 


percent  of  the  clearances  in  the  suburban  counties  and  7 
percent  of  those  in  the  rural  counties. 

The  estimated  480,900  persons  arrested  for  aggravated 
assault  in  1991  represented  two-thirds  of  all  arrestees  for 
violent  crimes.  Whites  comprised  60  percent  of  the  ar- 
restees; blacks,  38  percent;  and  all  other  races,  the  remain- 
der. Eighty-six  percent  of  the  arrestees  were  males  and  14 
percent,  females. 

Total  arrests  for  aggravated  assault  were  up  I  percent  in 
1991  from  the  1990  total.  During  this  2-year  period,  arrests 
of  persons  under  age  1 8  increased  7  percent,  while  arrests 
of  adults  showed  virtually  no  change.  A  comparison  of 
1987  and  1991  figures  showed  increases  of  32  percent  for 
total  arrests,  52  percent  for  juvenile  arrests,  and  29  percent 
for  adult  arrests. 


34 


PROPERTY  CRIME  TOTAL 


DEFINITION 


Property  crime  includes  the  offenses  of  burglary,  larceny-theft,  motor  vehicle  theft, 
and  arson.  The  object  of  these  offenses  is  the  taking  of  money  or  property,  but  there  is 
no  force  or  threat  of  force  against  the  victims. 


TREND 

Year 
1990  

Number  of  offenses' 
12.65 '^.486 

Rate  per  100.000 

inhabitants' 

5.088.5 

5.139.7 

+1.0 

7997  

12.961.116 

Percent  change   

+2.4 

'Does  not  include  arson.  See  page  57. 

35 


An  all-time  high  of  nearly  1 3  million  property  crimes 
was  reported  in  1991.  The  total  was  2  percent  higher  than 
that  for  1990,  8  percent  above  the  1987  experience,  and  1 1 
percent  over  the  1982  figure. 

Regionally,  property  crime  was  up  4  percent  in  the 
Midwest  and  rose  3  percent  in  both  the  South  and  the 
West.  The  Northeast  showed  a  decrease  of  less  than  1 
percent  in  the  property  crime  volume  from  1990.  By 
population  group,  property  crime  showed  the  greatest 
increase  in  rural  counties,  5  percent.  (See  Table  12.) 

As  in  previous  years,  1991  monthly  figures  show  more 
property  crime  occurred  in  August,  while  the  lowest 
number  was  reported  in  February. 

Table  2.24— Property  Crime  total  by  Month,  1987-1991 

[Percent  of  annual  total] 


Months 


January    . . . 
February  . . 

March    

April   

May  

June    

July   

August    — 
September 
October  . . . 
November 
December  . 


1987 


7.8 
7.5 
8.3 
7.9 
8.1 
8.3 
8.9 
9.1 
8.4 
8.5 
8.2 
8.9 


1988 


7.8 
7.5 
8.1 
7.7 
8.2 
8.3 
8.9 
9.5 
8.5 
8.7 
8.3 
8.5 


1989 


8.2 
7.2 
8.2 
7.8 
8.5 
8.5 
9.2 
9,3 
8.4 
8.6 
8.1 
7.9 


1990 


8.3 
7.4 
8.2 
7.9 
8.2 
8.2 
8.9 
9.1 
8.3 
8.7 
8.2 
8.6 


1991 


7.9 
7.4 
8.2 
8.0 
8.3 
8.4 
9.1 
9.2 
8.4 
8.7 
8.0 
8.4 


Rate 

In  1991,  there  were  an  estimated  5,140  property  crimes 
for  every  100,000  United  States  mhabitants.  The  1991 
property  crime  rate  was  1  percent  higher  than  the  1990 
rate,  4  percent  over  the  1987  rate,  and  2  percent  above  the 
1982  rate. 

Geographically,  the  1991  property  crime  rate  was  5,637 
per  100,000  in  the  West,  up  1  percent;  5,618  in  the  South, 
up  1  percent;  4,626  in  the  Midwestern  States,  a  3-percent 
increase;  and  4,403  in  the  Northeast,  a  1 -percent  decline. 

Property  crime  rates  for  1991  were  5,730  in  Metropoli- 
tan Statistical  Areas,  4,955  in  cities  outside  of  MSAs,  and 
1,888  in  rural  counties.  By  population  group,  the  highest 
rate — 9,127 — was  recorded  in  cities  with  populations  from 
250,000  to  499,999.  (See  Table  16.) 


Nature 

Total  dollar  losses  due  to  property  crime  were  estimated 
at  $16.1  billion  in  1991.  The  average  loss  per  ofTense  was 
$1,243. 

In  1991,  larceny-theft  accounted  for  63  percent  of  all 
property  crime.  Burglary  accounted  for  24  percent  and 
motor  vehicle  theft  for  13  percent.  Although  arson  is 
excluded  from  the  property  crime  offense  and  clearance 
tabulations  because  of  its  limited  timespan  as  an  Index 
offense  and  lower  national  coverage,  it  accounted  for 
another  99,784  offenses  and  an  average  dollar  loss  of 
$1 1,980  per  arson  in  1991,  based  on  data  from  1 1,706  law 
enforcement  agencies. 

Regionally,  38  percent  of  property  crime  was  accounted 
for  by  the  Southern  States,  24  percent  by  the  Western 
States,  21  percent  by  the  Midwestern  States,  and  17 
percent  by  the  Northeastern  States. 

Law  Enforcement  Response 

Property  crimes  generally  have  the  lowest  clearance 
rates.  In  1991,  the  overall  property  crime  clearance  rate 
was  18  percent,  the  same  as  the  1990  rate.  The  property 
crime  clearance  rate  was  also  1 8  percent  in  three  of  the  four 
regions,  with  the  Northeast  recording  a  lesser  rate  of  17 
percent.  (See  Table  26.) 

Twenty-two  percent  of  the  property  crimes  cleared  by 
law  enforcement  nationwide  and  in  cities  in  1991  involved 
only  young  people  under  age  18.  The  juvenile  percentage 
was  24  percent  in  suburban  counties  and  19  percent  in 
rural  counties.  (See  Table  28.) 

The  estimated  2.3  million  persons  arrested  for  property 
crimes  in  1991  accounted  for  16  percent  of  all  arrestees. 
The  volume  of  property  crime  arrests  in  1991  was  2 
percent  above  1990,  9  percent  over  1987,  and  12  percent 
higher  than  the  1982  total.  Compared  to  1990  totals, 
juvenile  and  adult  property  crime  arrests  in  1991  showed 
increases  nationwide  as  well  as  in  cities  and  suburban  and 
rural  counties.  (See  Tables  36,  44,  50,  and  56.)  In  1991,  75 
percent  of  all  property  crime  arrestees  were  males,  and  66 
percent  of  the  total  were  white. 


36 


PROPERTY  CRIME 


Percent 
20 


CHART  2.17 

VARIATION  FROM  MONTHLY  AVERAGE 

1991 


N 
U 
A 
R 

y 


F 
E 
B 
R 
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y 


Ay 
R 

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Percent 
10 


p 

M                       J                        J 

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P 

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M 

M 

T 

Av\ 

E 

B 

B 

B 

R 

E 

E 

E 

R 

R 

R 

CHART  2.18 

ERCE 

.NT  CHANGE  FROM  1987 

^ 


Number  of  Offenses 
Known  -  UP  8% 


Rate  per  100,000 
Inhabitants  -  UP  4% 


1987 


1988 


1989 


1990 


1991 


37 


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 

1990  3.073,909 

1991  3,157.150 

Percent  change   +2. 7 


Rate  per  100.000 

inhabitants 

1.235.9 

1,252.0 

+1.3 


38 


An  estimated  3,157,150  burglaries  occurred  in  the 
United  States  during  1991.  These  offenses  accounted  for 
21  percent  of  the  total  Crime  Index  and  24  percent  of  the 
property  crimes. 

Distribution  figures  for  the  regions  showed  that  the 
highest  burglary  volume  occurred  in  the  most  populous 
Southern  States,  accounting  for  41  percent  of  the  total.  The 
Western  States  followed  with  23  percent,  the  Midwestern 
States  with  20  percent,  and  the  Northeastern  States  with  16 
percent. 

In  1991,  the  greatest  numbers  of  burglaries  were  record- 
ed during  July  and  August,  while  the  lowest  count  was 
reported  in  February. 

Table  2.25— Burglary  by  Month,  1987-1991 

[Percent  of  annual  total] 


Months 


January    . . . 
February  .. 

March  

April   

May  

June    

July   

August    

September 
October   . . . 
November 
December  . 


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 


1989 


7.3 
8.2 
7.7 
8.4 
8.3 
9.2 
9.3 
8.6 
8.5 
8.1 
7.8 


1990 


7.5 
8.1 
7.8 
8.1 
7.9 
8.9 
9.0 
8.3 
8.5 
8.3 
8.7 


1991 


8.1 
7.3 
8.1 
7,9 
8.3 
8.2 
9.2 
9.2 
8.6 
8.6 
8.0 
8.6 


Nationwide,  the  burglary  volume  rose  3  percent  in  1991 
over  the  1990  total.  By  population  group,  increases  were 
registered  in  all  city  groupings  except  cities  with  popula- 
tions of  1  million  or  more,  which  showed  a  2-percent 
decline.  (See  Table  12.) 

Geographically,  three  of  the  four  regions  of  the  United 
States  reported  increases  in  burglary  volumes  during  1991 
as  compared  to  1990.  The  increases  were  6  percent  in  the 
Midwestern  States,  4  percent  in  the  Western  States,  and  2 
percent  in  the  Southern  States.  The  only  decrease  in  the 
burglary  volume  occurred  in  the  Northeastern  States  with  a 
I -percent  decline. 

Longer  term  national  trends  show  burglary  down  2 
percent  from  the  1987  volume  and  8  percent  below  the 
1982  level. 

Rate 

A  burglary  rate  of  1,252  per  100,000  inhabitants  was 
registered  nationwide  in  1991.  The  rate  rose  1  percent  over 
1990  but  was  16  percent  below  the  1982  rate.  In  1991,  for 


every  100,000  in  population,  the  rate  was  1,368  in  the 
metropolitan  areas,  1,074  in  the  cities  outside  metropoli- 
tan areas,  and  708  in  the  rural  counties.  (See  Table  2.) 
Regionally,  the  burglary  rate  was  1,498  in  the  Southern 
States,  1,324  in  the  Western  States,  1,037  in  the  Midwest- 
ern States,  and  1,010  in  the  Northeastern  States.  A 
comparison  of  1990  and  1991  rates  showed  increases  of  5 
percent  in  the  Midwest  and  2  percent  in  the  West.  The 
South's  burglary  rate  showed  no  change  from  the  previous 
year,  while  in  the  Northeast,  a  1 -percent  decrease  was 
reported. 

Nature 

Two  of  every  3  burglaries  in  1991  were  residential  in 
nature.  Seventy  percent  of  all  burglaries  involved  forcible 
entry,  23  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  $3.9  billion 
in  1991,  and  the  average  dollar  loss  per  burglary  was 
$1,246.  The  average  loss  for  residential  offenses  was 
$1,281,  while  for  nonresidential  property,  it  was  $1,180. 
(See  Table  23.) 

Both  residential  and  nonresidential  burglary  volumes 
showed  increases  of  2  percent  from  1990  to  1991. 

Law  Enforcement  Response 

Geographically  in  1991,  a  13-percent  clearance  rate  was 
recorded  for  burglaries  brought  to  the  attention  of  law 
enforcement  agencies  across  the  country.  In  the  South,  the 
clearance  rate  was  1 5  percent;  in  the  Northeast,  1 4  percent, 
in  the  West,  13  percent;  and  in  the  Midwest,  1 1  percent. 

Rural  county  law  enforcement  cleared  16  percent  of  the 
burglaries  in  their  jurisdictions.  Agencies  in  suburban 
counties  cleared  14  percent,  and  those  in  cities,  1 3  percent. 

Adults  were  involved  in  81  percent  of  all  burglary 
offenses  cleared;  the  remaining  19  percent  involved  only 
young  people  under  18  years  of  age.  Persons  under  age  18 
accounted  for  18  percent  of  the  burglary  clearances  in 
cities,  20  percent  of  those  in  rural  counties,  and  23  percent 
of  those  in  suburban  counties.  The  highest  degree  of 
juvenile  involvement  was  recorded  in  the  Nation's  smallest 
cities  (under  10,000  in  population)  where  young  persons 
under  18  years  of  age  accounted  for  25  percent  of  the 
clearances.  (See  Table  28.) 


39 


BURGLARY 


Percent 
20 


15 

10 

5 

O 

-5 
^10 
-15 
-20 


A 


J 

A. 

N 
U 

/v. 

R 

y 


Percent 
O 


CHART  2.19 

VARIATION  FROM  MONTHLY  AVERAGE 

1991 


AAA 


F 
E 
B 
R 
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A 
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A 
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B 
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D 

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NA 
B 
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CHART  2.20 

PERCENT  CHANGE  FROM  1987 


Number  of  Offenses 
Known  -  Down  2% 


Rate  per  100,000 
Inhabitants  ■  Down  6% 


1987 


1988 


1989 


1990 


1991 


40 


BURGLARY  Percent  Change  from  1987         CHART  2.21      J 


1987 
0mm 

-1 

-2 

-3 

-4 

-5 

-6 

-7 

-8 

-9 


Residence  Ddyi 


1988  1989  1990  1991 


Down  8% 


Residence  Nighttime 

19 
0 

67 

1988              1989              1990 

1991 

-1 

-2 
-3 
-4 
-5 
-6 
-7 
-8 
-9 
-10 

^ 

©^^^©               © 

Down  9%    ^^\Liiii  ^ 

( 

) 

Non-Residence  Daytime 

12 

No  Change 

10 

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V 

8 

/ 

\ 

6 
4 

J 

/©       ©    \^ 

(■ 

) 

2 

A 

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1987 

1988              1989              1990 

1991 

Non-Residence  Nighttime 


1987      1988 
0 


1989      1990      1991 


41 


In  the  UCR  Program,  several  persons  may  be  arrested  in  arrest  trends  showed  no  change  in  cities,  a   5-percent 

connection  with  the  clearance  of  one  crime,  or  the  arrest  of  increase  in  suburban  counties,  and  a  10-percent  upswing  in 

one  individual  may  clear  numerous  offenses.  The  latter  is  rural  counties. 

often  true  in  cases  of  burglary  for  which  an  estimated  Ninety-one  percent  of  the  burglary  arrestees  during  1991 

436,500  arrests  were  made  in  1991.  Arrest  trends  between  were  males,  and  65  percent  of  the  total  were  under  25  years 

1990  and   1991   show  total  burglary  arrests  were  up   1  of  age.  Among  all  burglary  arrestees,  whites  accounted  for 

percent.  Arrests  of  persons  under  18  years  of  age  showed  an  69  percent,  blacks  for  29  percent,  and  other  races  for  the 

increase  of  4  percent,  while  those  of  adults  registered  no  remainder, 
change.  For  the  same  2-year  time  period,  total  burglary 


42 


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. 


TnFNn 

Rale  per  100,000 

Year 

Number  of  offenses 

inhabitants 

1990  

7,945.670 

3.194.8 

1991  

8,142.228 

3.228.8 

Percent  change   

+2.5 

+1.1 

43 


Estimated  at  8.1  million  offenses  during  1991,  larceny- 
thefts  comprised  55  percent  of  the  Crime  Index  total  and 
63  percent  of  the  property  crimes.  Similar  to  the  experi- 
ence in  previous  years,  larceny-thefts  were  recorded  most 
often  during  the  month  of  August  and  least  frequently  in 
February. 

When  viewed  geographically,  the  Southern  States,  the 
most  populous,  recorded  38  percent  of  the  larceny-theft 
total.  The  Midwest  and  Western  States  each  registered  23 
percent;  and  the  Northeastern  States,  16  percent.  (See 
Table  4.) 

Table  2.26— Larceny-Theft  by  Month,  1987-1991 

[Percent  of  annual  total) 


Months 


January   ... 
February   . . 

March  

April   

May  

June    

July    

August    

September 
October   . . . 
November 
December  . 


1987 


7.6 
7.5 
8.3 
8.0 
8.2 
8.5 
9.1 
9.2 
8.4 
8.6 
8.1 
8.4 


1988 


7.6 
7.5 
8.2 
7.8 
8.3 
8.5 
9.0 
9.5 
8.5 
8.7 
8.2 
8.3 


1989 


8.0 
7.2 
8.2 
8.0 
8.6 
8.7 
9.2 
9.5 
8.3 
8.6 
8.0 
7.7 


1990 


8.2 
7.4 
8.2 
7.9 
8.3 
8.3 
8.9 
9.1 
8.2 
8.7 
8.1 
8.4 


1991 


7.8 
7.5 
8.2 
8.1 
8.4 
8.5 
9.2 
9.3 
8.3 
8.7 
7.9 


Compared  to  1990,  the  1991  volume  of  larceny-thefts 
increased  2  percent  in  the  Nation  and  in  all  cities  collec- 
tively. The  suburban  and  rural  counties  also  showed 
increases,  4  percent  and  5  percent,  respectively. 

Regionally,  volume  upswings  of  3  percent  were  recorded 
in  both  the  Midwest  and  the  Southern  States.  The  Western 
States  registered  a  2-percent  increase,  while  the  Northeast- 
em  States  showed  no  change. 

The  5-  and  10-year  national  trends  indicated  larceny  was 
up  9  percent  over  the  1987  total  and  14  percent  above  the 
1982  level. 

Rate 

The  1991  larceny-theft  rate  was  3,229  per  100,000 
United  States  inhabitants.  The  rate  was  1  percent  higher 
than  in  1990  and  5  percent  above  the  1987  and  1982  levels. 
The  1991  rate  was  3,560  per  100,000  inhabitants  of 
metropolitan  areas;  3,647  per  100,000  population  in  cities 
outside  metropolitan  areas;  and  1,059  per  100,000  people 
in  the  rural  counties.  (See  Table  2.) 

Regionally,  the  rate  in  the  Midwest  was  3,082  per 
100,000  inhabitants,  an  increase  of  2  percent  over  the 
previous  year.  The  South's  1991  rate  of  3,518  was  up  1 
percent,  while  the  rates  per  100,000  inhabitants  of  2,598  in 


the  Northeast  and  3,522  in  the  West  showed  no  change 
from  1990  levels. 

Nature 

During  1991,  the  average  value  of  property  stolen  due  to 
larceny-theft  was  $478,  down  slightly  from  $480  in  1990. 
When  the  average  value  was  applied  to  the  estimated 
number  of  larceny-thefts,  the  loss  to  victims  nationally  was 
$3.9  billion  for  the  year.  This  estimated  dollar  loss  is 
considered  conservative  since  many  offenses  in  the  larceny 
category,  particularly  if  the  value  of  the  stolen  goods  is 
small,  never  come  to  law  enforcement  attention.  Losses  in 
24  percent  of  the  thefts  reported  to  law  enforcement  in 
1991  ranged  from  $50  to  $200,  while  in  36  percent,  they 
were  over  $200. 

Losses  of  goods  and  property  reported  stolen  as  a  result 
of  pocket-picking  averaged  $366;_  purse-snatching,  $280; 
and  shoplifting,  $104.  Thefts  from  buildings  resulted  in  an 
average  loss  of  $788;  from  motor  vehicles,  $544;  and  from 
coin-operated  machines,  $  1 39.  The  average  value  loss  due 
to  thefts  of  motor  vehicle  accessories  was  $305  and  for 
thefts  of  bicycles,  $233.  (See  Table  23.) 

Thefts  of  motor  vehicle  parts,  accessories,  and  contents 
made  up  the  largest  portion  of  reported  larcenies-37 
percent.  Also  contributing  to  the  high  volume  of  thefts 
were  shoplifting,  accounting  for  16  percent;  thefts  from 
buildings,  14  percent;  and  bicycle  thefts,  6  percent.  The 
remainder  was  distributed  among  pocket-picking,  purse- 
snatching,  thefts  from  coin-operated  machines,  and  all 
other  types  of  larceny-thefts.  Table  2.27  presents  the 
distribution  of  larceny-theft  by  type  and  geographic  region. 

Table  2.27 — Larceny  Analysis  by  Region,  1991 

[Percent  distribution] 


United 
States 
Total 

North- 
eastern 
States 

Mid- 
western 
States 

Southern 

States 

Western 
States 

Total'    

100.0 

100.0 

100.0 

100.0 

100.0 

Pocket-picking               .  . . . 

1.0 

1.0 

16.5 

22.4 

14.1 
5.8 
14.2 

1.0 
23.9 

3.4 

1.9 

14.3 

22.0 

13.5 
6.5 
18.0 

2.1 
18.4 

.8 

1.1 

14.0 

18.9 

14.4 

5.2 
19.2 

.6 

25.8 

.4 

.8 

17.3 

20.1 

15.9 
4.9 
10.8 

.9 
29.0 

.5 

Purse-snatching    

.7 

19.0 

From  motor  vehicles 

(except  accessories)  

Motor  vehicle 

29.4 
11.7 

Bicycles            

7.4 

12.3 

From  coin-operated 
machines           

.6 

18.4 

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


44 


LARCENY-THEFT 


CHART  2.22 

VARIATION  FROM  MONTHLY  AVERAGE 

1991 


Percent 
10 


CHART  2.23 

PERCENT  CHANGE  from  1987 


I  ^Wfl^^WI^^^Pfi 


Number  of  Offenses 
Known  -  UP  9% 


Rate  per  100,000 
Inhabitants  -  UP  5% 


1987 


1988 


1989 


1990 


1991 


45 


LARCENY/THEFT  percent  Chanse  from  1987         CHART  2.24 


Pocket  Picking 

6 
4 
2 
0 

f        f        f 

1987          1988              1989              1990 

t 

1991 

-2 

-4 

-6 

Dowi 

n6% 

Purse  Snatching 

2 
0 

-2 



^Nl^         1989              1990 

1991 

1987 

1988      ^^^B 

1 

-4 

•       ^     '9 

1 

1 

-6 

\ 

-8 

\ 

-10 

Down  10%             ""-^ 

Shoplifting 

18. 

Up  18% 

16 

^^ 

14 
12 

i 

*        l^ 

^f^f 

( 

\ 

10 
8 

^^^^ 

'.i'    M<.M..i^A 

f^m 

6 

.^K 

4 

^^ 

2 

Q 

^m^m 

mi 

1987 

1988              1989 

1990 

1991 

Theft  from  Motor  Vehicles 

14. 

Up  13%    , 

12 

10 

^-^•"•■^■^^ 

8 

A             ^^^V)                          (ji?! 

«► 

6 

\^^ 

4 

.^IK^. 

2 

Q 

^ 

^^^^^^^^^^H 

1987 

1988              1989              1990 

1991 

Motor  Vehicle  Accessory  Theft 


Bicycle  Theft 


1988    ■  1989  1990 


1991 


Down  3% 


Theft  from  Buildings 


Theft  from  Coin  Machines 

25 

Up  23% 

20 

15 

•               \ 

\                i 

» 

/ 

1 

10 

^ 

. 

> 

f 

5 
0 

-5 

w      ^ 

1 

1987         1988             1989           "Ni^' 

1990 

1991 

4(S 


CHART  2.25 


1%  Purse-Snatching 
1%  Pocket-Picking 
1%  Coin  Machines 

16%  Shoplifting 


6%  Bicycles 


22%  From  Motor  Vehicles 


14%  From  Buildings 


14%  Motor  Vehicle  Accessories 


24%  All  Others 


Percent  Distribution  by  Type  of  Theft 


1991 


47 


Law  Enforcement  Response 

Twenty  percent  of  the  reported  larceny-thefts  were 
cleared  nationwide  during  1991.  Cities  collectively  record- 
ed a  21 -percent  clearance  rate,  with  the  highest  rate,  25 
percent,  reported  by  law  enforcement  agencies  in  cities 
from  10,000  to  24,999  in  population.  Suburban  and  rural 
counties  recorded  17-percent  and  18-percent  clearance 
rates,  respectively. 

In  1991,  law  enforcement  agencies  in  the  Western  States 
cleared  22  percent  of  the  larceny  offenses  brought  to  their 
attention,  while  the  remaining  regions  each  recorded  1991 
clearance  rates  of  20  percent.  (See  Table  26.) 

Twenty-three  percent  of  the  larceny-theft  clearances 
nationally  and  in  cities  involved  only  offenders  under  18 
years  of  age.  Twenty-four  percent  of  those  in  suburban 
counties  and  1 8  percent  of  those  in  rural  counties  were 
accounted  for  by  persons  in  this  age  group. 

Between  1990  and  1991,  the  total  number  of  persons 
arrested  as  well  as  male  and  female  arrests  for  larceny-theft 


increased  2  percent.  During  this  same  period,  adult  arrests 
were  up  1  percent,  and  those  of  persons  under  1 8  years  of 
age  increased  5  percent. 

Considering  a  longer  timeframe,  larceny-theft  arrests 
rose  10  percent  for  the  5-year  period,  1987-1991.  Arrests  of 
adults  were  up  1 1  percent,  and  of  juveniles,  up  8  percent. 
During  this  5-year  timespan,  male  and  female  arrests  rose 
9  and  12  percent,  respectively. 

Larceny-theft  not  only  comprised  the  largest  portion  of 
Crime  Index  offenses  reported  to  law  enforcement,  but  this 
offense  also  accounted  for  53  percent  of  the  arrests  for 
Index  crimes  and  71  percent  of  those  for  property  crimes  in 
1991.  Forty-four  percent  of  the  larceny  arrests  were  of 
persons  under  21  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  1991, 
comprised  32  percent  of  all  larceny-theft  arrestees. 

Whites  accounted  for  67  percent  of  the  total  larceny- 
theft  arrestees,  blacks  for  31  percent,  and  all  other  races  for 
the  remainder. 


4R 


MOTOR  VEHICLE  THEFT 


DEFINITION 


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


TREND 


Year  Number  of  offenses 

1990  1.635.907 

1991  1.661.738 

Percent  change   +1.6 


Rate  per  100.000 

inhabitants 

657.8 

659.0 

+.2 


49 


An  estimated  total  of  1,661,738  thefts  of  motor  vehicles 
occurred  in  the  United  States  during  1991.  These  offenses 
comprised  1 3  percent  of  all  property  crimes.  The  regional 
distribution  of  motor  vehicle  thefts  showed  32  percent  of 
the  volume  was  in  the  Southern  States,  26  percent  in  the 
Western  States,  24  percent  in  the  Northeastern  States,  and 
18  percent  in  the  Midwestern  States. 

The  1991  monthly  figures  show  that  the  greatest  number 
of  motor  vehicle  thefts  was  recorded  during  the  month  of 
August,  while  the  lowest  count  was  in  February. 

Table  2.28— Motor  Vehicle  Theft  by  Month,  1987-1991 

[Percent  of  annual  total] 


Months 


January   ... 
Febi^ai7  .. 

March  

April   

May  

June    

July   

August    

September 
October   . . . 
November 
December  . 


1987 


7.9 
7.5 
8.4 
7.9 
8.0 
8.1 
8.8 
9.0 
8.4 
8.8 
8.5 
8.7 


1988 


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


1989 


8.3 
7.3 
8.1 
7.5 
8.0 
8.2 
8.8 
9.0 
8.5 
9.0 
8.7 
8.5 


1990 


8.5 
7.6 
8.4 
7.9 
8.1 
8.1 
8.8 
8.8 
8.4 
8.8 
8.3 
8.4 


1991 


8.3 
7.5 
8.2 
7.8 
8.1 
8.2 
8.7 
8.9 
8.3 
8.7 
8.5 


The  number  of  motor  vehicle  thefts  rose  2  percent 
nationally  from  1990  to  1991.  During  the  same  period,  the 
Nation's  cities  overall  experienced  a  1 -percent  increase  and 
the  suburban  counties  a  3-percent  rise,  while  rural  counties 
showed  a  decrease  of  less  than  1  percent. 

Geographically,  three  regions  experienced  motor  vehicle 
theft  increases,  while  the  Northeastern  Region  showed  a  2- 
percent  decline.  (See  Table  4.) 

The  accompanying  chart  shows  that  the  volume  of 
motor  vehicle  thefts  in  1991  increased  29  percent  over  the 
1987  volume. 

Rate 

The  1991  national  motor  vehicle  theft  rate — 659  per 
100,000  people — showed  virtually  no  change  from  the  rate 
in  1990.  The  rate  was  24  percent  higher  than  in  1987  and 
44  percent  above  the  1982  rate. 


For  every  100,000  inhabitants  living  in  MSAs,  there 
were  803  motor  vehicle  thefts  reported  in  1991.  The  rate  in 
cities  outside  metropolitan  areas  was  233  and  in  rural 
counties,  1 20.  As  in  previous  years,  the  highest  rates  were 
in  the  Nation's  most  heavily  populated  municipalities, 
indicating  that  this  offense  is  primarily  a  large-city  prob- 
lem. For  every  100,000  inhabitants  in  cities  with  popula- 
tions over  250,000,  the  1991  motor  vehicle  theft  rate  was 
1,681.  The  Nation's  smallest  cities,  those  with  fewer  than 
10,000  inhabitants,  recorded  a  rate  of  257  per  100,000. 

Among  the  regions,  the  motor  vehicle  theft  rates  ranged 
from  791  per  100,000  people  in  the  Western  States  to  507 
in  the  Midwestern  States.  The  Northeastern  States'  rate 
was  795  and  the  Southern  States'  rate,  603.  All  regions 
except  the  Northeastern  States  registered  rate  increases 
from  1990  to  1991.  (See  Table  4.) 

An  estimated  average  of  1  of  every  1 1 7  registered  motor 
vehicles  was  stolen  nationwide  during  1991.  Regionally, 
this  rate  was  greatest  in  the  Northeast  where  1  of  every  84 
motor  vehicles  registered  was  stolen.  The  other  three 
regions  reported  lesser  rates — 1  per  101  in  the  West,  1  per 
127  in  the  South,  and  1  per  167  in  the  Midwest. 

Nature 

During  1991,  the  estimated  value  of  motor  vehicles 
stolen  nationwide  was  nearly  $8.3  billion.  At  the  time  of 
theft,  the  average  value  per  vehicle  stolen  was  $4,983. 

Eighty  percent  of  all  motor  vehicles  reported  stolen 
during  the  year  were  automobiles,  1 5  percent  were  trucks 
or  buses,  and  the  remainder  were  other  types. 

Table  2.29— Motor  Vehicle  Theft,  1991 

[Percent  distribution  by  region] 


Region 

Total' 

Autos 

Trucks 
and 
buses 

Other 
vehicles 

Total   

100.0 

79.7 

14.7 

5.6 

Northeaslem  States  

Midwestern  States   

100.0 
100.0 
100.0 
100.0 

92.7 
83.0 

74.7 
71.4 

4.4 
10.5 
19.0 
21.9 

2.9 
6.5 
6.3 

Western  States 

6  8 

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


MOTOR  VEHICLE  THEFT 


Percent 
20 


15 


CHART  2.26 

VARIATION  FROM  MONTHLY  AVERAGE 

1991 


10 


-5 
-10 
-15 
-20 


^    0K    0K 


^  ^  ^  \  m 


A 

N 
U 

R 

y 


F 
E 
B 
R 
U 

R 

y 


R 

C 
H 


P 
R 


AA 

y 


J 
u 

N 

E 


J 
U 

L 

y 


A 
U 
G 
U 

S 
T 


S 
E 
P 
T 
E 
M 
B 
E 
R 


O 

c 

T 
O 

B 
E 
R 


N 
O 
V 

E 
M 
B 
E 
R 


D 

E 
C 
E 
M 
B 
E 
R 


Percent 
35 


CHART  2.27 

PERCENT  CHANGE  from  1987 


m 


Number  of  Offenses 
Known  -  Up  29% 


Rate  per  100,000 
Inhabitants  -  Up  24% 


1987 


1988 


1989 


1990 


1991 


51 


Law  Enforcement  Response 

Law  enforcement  agencies  nationwide  recorded  a  14- 
percent  motor  vehicle  theft  clearance  rate  for  1991.  Those 
in  cities  cleared  13  percent;  those  in  suburban  counties 
cleared  16  percent;  and  rural  county  agencies  cleared  33 
percent. 

Regional  clearance  percentages  for  motor  vehicle  theft 
were  1 7  percent  in  the  Southern  States,  1 5  percent  in  the 
Midwestern  States,  13  percent  in  the  Western  States,  and 
10  percent  in  the  Northeastern  States. 

Persons  in  the  under- 18  age  group  alone  accounted  for 
23  percent  of  the  motor  vehicle  thefts  cleared  both 
nationally  and  in  cities.  They  comprised  22  percent  of  the 
clearances  in  the  suburban  counties  and  20  percent  of 
those  in  the  rural  counties. 

During  1991,  law  enforcement  agencies  nationwide 
made  an  estimated  207,700  arrests  for  motor  vehicle  theft. 


Males  accounted  for  90  percent  of  the  persons  arrested  for 
motor  vehicle  theft.  Fifty-nine  percent  of  the  arrestees  were 
white,  39  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 
1991,  62  percent  of  all  persons  arrested  for  this  offense 
were  under  21  years  of  age,  and  those  under  18  comprised 
44  percent  of  the  total.  Between  1990  and  1991,  arrests  of 
persons  under  age  18  decreased  less  than  1  percent.  Within 
this  age  range,  arrests  of  males  decreased  1  percent,  while 
those  of  females  were  up  4  percent. 

Total  motor  vehicle  theft  arrests  were  down  2  percent 
and  adult  arrests  declined  4  percent  in  1991  from  the 
previous  year.  Overall  arrests  for  this  offense  were  23 
percent  higher  in  1991  than  in  1987  and  61  percent  above 
the  1982  level. 


f>2 


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. 


53 


A  total  of  99,784  arson  offenses  was  reported  by  1 1 ,845 
law  enforcement  agencies  across  the  country;  these  agen- 
cies furnished  from  1  to  12  months  of  reports  during  1991. 
Of  these  reporting  agencies,  11,706  provided  the  detailed 
information-type  of  structure,  estimated  monetary  value 
of  the  property  damaged,  etc. — from  which  the  tables  on 
the  accompanying  pages  were  tabulated.  Further  informa- 
tion regarding  arson  offenses  and  trends  is  presented  in 
Tables  12  through  15  and  arson  clearances  in  Tables  25 
through  28.  Since  only  8,963  agencies  covering  71  percent 
of  the  United  States  population  submitted  reports  for  all 
12  months  of  the  year,  the  data  user  should  be  aware  that, 
while  conservative  indicators,  the  figures  do  not  represent 
the  Nation's  total  arson  experience. 

The  number  of  arson  offenses  reported  nationally  and  in 
suburban  counties  increased  1  percent  in  1991  as  com- 
pared to  the  1990  total.  Counts  for  the  Nation's  cities 
ranged  from  an  8-percent  decline  in  cities  with  populations 
over  1  million  to  a  7-percent  increase  in  those  with  250,000 
to  499,999  inhabitants.  The  rural  counties  registered  a 
decline  of  3  percent.  (See  Table  12.) 

Geographically,  arson  increased  in  the  Midwest  and 
West  by  1  percent  and  in  the  South  by  2  percent.  A  2- 
percent  decrease  was  recorded  in  the  Northeast. 

By  property  type  nationally,  the  number  of  arsons  of 
structures  rose  less  than  1  percent.  Those  of  mobile 
property  increased  2  percent,  and  of  all  other  property  rose 
4  percent.  (See  Table  15.) 

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. 

Table  2.30 — Arson  Rate,  Population  Group,  1991 

[8,963  agencies;  1991  estimated  population  179,673,000; 
rate  per  100.000  inhabitants) 


Group 

Rate 

Total    

48  3 

Total  cities  

56  0 

Group  I  (cities  250,000  and  over)    

(cities  1,000,000  and  over)        ..   . 

89.8 
97  4 

(cities  500,000  to  999,999)    

74  2 

(cities  250,000  to  499,999)    

92,0 

Group  11  (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  lo  24,999)    

Group  VI  (cities  under  10.000)  

66.3 
45.6 
37.0 
27.9 
29.0 

35  5 

Rural  counties   

22  1 

Suburban  area 

33  1 

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  1991  rates  are  shown  in  the  accompanying  table. 

The  rates  ranged  from  97  per  100,000  inhabitants  in 
cities  with  populations  over  1  million  to  22  per  100,000 
rural  county  inhabitants.  The  suburban  counties  and  all 
cities  collectively  recorded  rates  of  36  and  56  per  100,000 
inhabitants,  respectively.  Overall,  the  1991  national  arson 
rate  was  48  per  100,000  population. 

Regionally,  the  highest  arson  rate  was  registered  in  the 
Western  States  with  56  offenses  per  100,000  population. 
Following  were  the  Northeastern  and  Southern  States  with 
a  rate  of  46  per  100,000,  and  the  Midwestern  States  with 
44  per  100,000. 

Nature 

As  in  previous  years,  structures  were  the  most  frequent 
targets  of  arsonists  in  1991  and  comprised  54  percent  of 
the  reported  incidents.  Twenty-seven  percent  of  the  arsons 
were  directed  at  mobile  property  (motor  vehicles,  trailers, 
etc.),  while  other  types  of  property  (crops,  timber,  etc.) 
accounted  for  19  percent. 

Table  2.31 — Arson,  Type  of  Property,  1991 

[11,706  agencies;  1991  estimated  population  195,914,000] 


Property  classiTication 


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  61  percent  of  the 
structural  arsons  during  the  year,  with  44  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  93  percent  of  all  mobile 
property  at  which  arsons  were  directed. 


Table  2.32 — Arson,  Structures  Not  in  Use,  1991 

111,706  agencies;  1991  estimated  population  195.914,000] 


Type  of  staicture 


Total  

Single  occupancy  residential 

Other  residential    

Storage  

Industrial/manufacturing    ... 

Other  commercial    

Community/public  

Other  structure 


Number 

of 
offenses 


46,478 


20,233 
8,062 
4.384 
750 
5,226 
4,701 
3,122 


Percent 
not 

in  use 


19.2 


23.5 
13.9 
23.7 
21.5 
13.4 
8.4 
23.5 


The  monetary  value  of  property  damaged  due  to  report- 
ed arsons  averaged  $11,980  per  incident  in  1991.  The 
overall  average  for  all  types  of  structures  was  S  19,763. 
While  industrial/manufacturing  property  was  the  structur- 
al classification  with  the  lowest  reported  number  of  of- 
fenses, it  showed  the  highest  average  loss — 584,942.  Mo- 
bile properties  averaged  $4,202  per  incident,  and  other 
targets  averaged  $895. 

Table  2.33 — Arson,  Monetary  Value  of  Property 
Damaged,  1991 


[11.706  agencies;   1991  estimated  population   195,914.000) 


Property  classification 


Average 
damage 


Total  

Total  structure  

Single  occupancy  residential 

Other  residential    

Storage  

Industrial/manufacturing    ... 

Other  commercial    

Community/public  

Other  structure   

Total  mobile   

Motor  vehicles    

Other  mobile   

Other  


19.763 
13.602 
12.964 
12,388 
84.942 
43,730 
36,436 
6,712 

4,202 
3,920 
7,884 


Law  Enforcement  Response 

The  national  1991  arson  clearance  rate  was  16  percent. 
Agencies  in  cities  with  fewer  than  10,000  inhabitants 
showed  the  highest  rate,  clearing  25  percent  of  the  arson 
offenses  brought  to  their  attention.  Rural  county  law 
enforcement  agencies  cleared  22  percent;  those  in  subur- 
ban counties,  18  percent;  and  in  cities,  15  percent.  (See 
Table  25.) 

Regionally,  the  Southern  States  recorded  a  clearance  rate 
of  21  percent;  the  Western  States,  16  percent;  the  Midwest- 
ern States,  13  percent;  and  the  Northeastern  States,  12 
percent. 

Forty  percent  of  all  1991  arson  clearances  involved  only 
young  people  under  age  18,  a  higher  percentage  of  juvenile 
involvement  than  for  any  other  Index  crime.  Persons  in 


this  age  group  acounted  for  38  percent  of  structural  arson 
clearances,  23  percent  of  the  clearances  for  arsons  of 
mobile  property,  and  58  percent  of  those  of  all  other 
property. 

Table  2.34 — Arson  Offenses  Cleared  by  Arrest,'  1991 

[11,706  agencies^  1991  estimated  population  195,914,000) 


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 


86,147 


46.478 
20,233 
8.062 
4,384 
750 
5.226 
4,701 
3,122 

23,595 

21.917 

1.678 

16.074 


Percent 
cleared 
by  arrest 


18.0 


22.0 
22.1 
22.7 
18.3 
14.0 
14.9 
36.2 
17.0 

9.2 
8.8 
14.6 

19.7 


'Includes  offenses  cleared  by  exceptional  means. 
n"o  be  included  in  this  table,  it  was  necessary  that  arson  clearances  be  reported  by 
property  classification. 

By  population  grouping,  juveniles  were  the  offenders  in 
42  percent  of  the  city  arson  clearances,  38  percent  of  those 
in  suburban  counties,  and  25  percent  of  those  in  the  rural 
counties. 

The  accompanying  tables  show  clearance  data  only  for 
those  1 1,706  law  enforcement  agencies  which  were  able  to 
furnish  breakdowns  by  type  for  the  structural  and  mobile 
classifications.  As  can  be  seen,  the  highest  clearance  rate 
(36  percent)  was  recorded  for  offenses  in  which  community 
or  public  structures  were  involved,  while  the  lowest  rate 
(9  percent)  was  registered  for  motor  vehicles. 

Table  2.35 — Arson  Offenses  Cleared  by  Arrest'  of 
Persons  under  18  Years  of  Age,  1991 


[11.706  agencies';  1991  estimated 

population 

195.914.000) 

Property  classification 

Total 
clearances 

Percent 
under  18 

Total  

15,548 

400 

Total  structure  

10,221 

4,473 

1,830 

801 

105 

781 

1.700 

531 

2.167 
1,922 

245 

3,160 

38  2 

Single  occupancy  residential    

31  4 

30  6 

Storage  

43  9 

35  2 

Other  commercial    

32  4 

Community/public  

60  9 

49  3 

22  5 

20  4 

39  2 

Other  

57  5 

'Includes  orFenses  cleared  by  exceptional  means, 

H'o  be  included  in  this  table,  it  was  necessary  that  arson  clearances  be  reported  by 
property  classification. 


55 


The  estimated  number  of  arrests  for  arson  during  1991  Nationwide,  arrests  of  juveniles  were  up   11   percent, 

totaled  20,000.  Forty-seven  percent  of  the  arrestees  were  while  adult  arrests  showed  a  4-percent  decrease  from  1990 

under  18  years  of  age  and  65  percent  were  under  25.  Males  to  1991.  During  the  same  period,  male  arrests  for  arson 

comprised  87  percent  of  all  arson  arrestees.  Seventy-seven  were  up  3  percent  and  female  arrests  showed  virtually  no 

percent  of  those  arrested  were  white,  21   percent  were  change, 

black,  and  the  remainder  were  of  other  races.  The  1991  arson  arrest  total  for  all  ages  was  6  percent 

Trends  for  1990  versus   1991   show  arson  arrests  in-  higher  than  the  1987  level  but  6  percent  lower  than  in 

creased  2  percent  nationwide  and  13  percent  in  suburban  1982. 
counties.  The  Nation's  cities  experienced  a  1 -percent  rise, 
whereas  rural  counties  registered  a  2-percent  decrease. 


56 


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;  informa- 
tion on  the  types  of  weapons  used;  and  data  on  the  type 
and  value  of  property  stolen  and  recovered. 

Ahhough  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. 

National  estimates  of  volume  and  rate  per  100,000 
inhabitants  for  all  Crime  Index  offenses  covering  the  past 
two  decades  are  set  forth  in  Table  1,  "Index  of  Crime, 
United  States,  1972-1991." 

Table  2,  "Index  of  Crime,  United  States,  1991,"  shows 
current  year  estimates  for  MSAs,  rural  counties,  and  cities 
and  towns  outside  metropolitan  areas.  See  Appendix  III  for 
the  definitions  of  these  community  types. 

Provided  in  Table  3,  "Index  of  Crime,  Regional  Offense 
and  Population  Distribution,  1991,"  are  data  showing  the 
geographical  distribution  of  estimated  Index  crimes  and 
population.  When  utilizing  figures  presented  on  a  regional 
basis  in  this  publication,  the  reader  is  cautioned  to 
consider  each  region's  proportion  of  the  total  United  States 
population.  For  example,  although  the  Southern  States 
accounted  for  the  largest  volume  of  Crime  Index  offenses 
in  1991,  they  also  represented  the  greatest  regional  popula- 
tion. 

Note 

The  collection  of  statistics  on  arson  as  a  Crime  Index 
offense  began  in  1979.  However,  1991  annual  figures  are 
not  available  for  inclusion  in  tables  presenting  statistics  for 
the  total  United  States.  Arson  totals  reported  by  individual 
law  enforcement  agencies  are  displayed  in  Tables  8  through 
11.  Two-year  arson  trends  are  shown  in  Tables  12  through 
15. 


57 


Table  1.— Index  of  Crime,  United  States,  1972-1991 


Population' 

Crime 
Index 
totaP 

Modified 
Crime 
Index 
total' 

Violent 
crime* 

Property 
crime* 

Murder 
and  non- 
negligent 
man- 

Forcible 
rape 

Robbery 

Aggra- 
vated 
assault 

Burglary 

Larceny- 
thefl 

Motor 
vehicle 
theft 

Arson' 

slaughter 

Number  of  Offenses 

Populalion  by  year: 

1972-208,230,000   . 

.     8,248,800 

834.900 

7.413,900 

18.670 

46,850 

376.290 

393.090 

2,375.500 

4.151.200 

887,200 

1973-209,851,000   . 

.     8.718,100 

875,910 

7,842,200 

19,640 

51,400 

384,220 

420,650 

2.565,500 

4,347,900 

928,800 

1974-211,392,000   . 

.   10,253,400 

974,720 

9.278,700 

20,710 

55,400 

442,400 

456,210 

3.039,200 

5,262,500 

977,100 

1975-213.124.000  . 

.   11.292.400 

1,039,710 

10.252.700 

20,510 

56,090 

470,500 

492,620 

3,265,300 

5,977,700 

1,009,600 

1976-214,659,000  . 

.   11,349,700 

1,004,210 

10.345.500 

18,780 

57,080 

427,810 

500,530 

3,108,700 

6,270,800 

966,000 

1977-216,332.000  . 

.   10.984.500 

1,029,580 

9.955.000 

19,120 

63,500 

412,610 

534,350 

3,071,500 

5,905,700 

977,700 

1978-218,059,000   . 

.   11.209.000 

1,085,550 

10.123.400 

19,560 

67,610 

426,930 

571,460 

3,128,300 

5,991,000 

1,004,100 

1979-220,099,000  . 

.   12.249,500 

1,208,030 

11.041.500 

21,460 

76,390 

480,700 

629,480 

3,327,700 

6,601,000 

1,112,800 

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 

1984-236.158,000  . 

.   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 

1985-238.740.000   . 

.   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 

1,489,170 

11,722,700 

20,610 

91,460 

542,780 

834,320 

3,241,400, 

7,257,200 

1,224,100 

1987-243,400,000   . 

.   13.508,700 

1,484,000 

12,024,700 

20,100 

91,110 

517,700 

855,090 

3,236,200 

7,499,900 

1,288,700 

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 

1989-248,239,000  . 

.   14.251,400 

1,646,040 

12,605,400 

21,500 

94,500 

578,330 

951,710 

3,168,200 

7,872,400 

1,564,800 

1990-248,709,873   . 

.   14.475,600 

1,820,130 

12,655,500 

23,440 

102,560 

639,270 

1,054,860 

3,073,900 

7,945,700 

1,635,900 

1991-252.177.000   . 

.   14,872,900 

1,911,770 

12,961,100 

24,700 

106,590 

687,730 

1,092,740 

3.157,200 

8,142,200 

1,661,700 

Percent  change:  number  of 

offenses: 

1991/1990    

+2.7 
+  10.1 
+  14.6 

+5.0 
+28.8 
+44.6 

+2.4 

+7.8 

+  11.2 

+5.4 
+22.9 
+  17.6 

+3.9 
+  17.0 
+35.3 

+7.6 
+32.8 
+24.3 

+3.6 
+27.8 
+63.2 

+2.7 
-2.4 
-8.4 

+2.5 

+8.6 

+  14.0 

+  1,6 
+28.9 
+56.4 

1991/1987    

1991/1982    

Rate  per  100.000  Inhabitams 

Year 

1972   

3,961.4 
4,154.4 
4,8504 
5,298.5 
5,287,3 
5,077,6 
5.1403 
5,565.5 
5,950.0 
5,858.2 
5,603.6 
5,175.0 
5,031.3 
5,207.1 
5,480.4 
5,550,0 
5,664,2 
5.741.0 
5.820.3 
5,897.8 

401.0 
417.4 
461.1 
487.8 
467.8 
475.9 
497.8 
548.9 
596.6 
594.3 
571.1 
537.7 
539.2 
556.6 
617.7 
609.7 
637.2 
663.1 
731.8 
758.1 

3.560.4 
3,737.0 
4,389.3 
4,810.7 
4,819.5 
4,601.7 
4.642.5 
5.016.6 
5.353.3 
5.263.9 
5.032.5 
4,637.4 
4,492.1 
4.650.5 
4,862.6 
4,940.3 
5,027.1 
5,077.9 
5,088.5 
5,139.7 

9.0 
9,4 
9.8 
9.6 
8.8 
8.8 
9.0 
9,7 
102 
9.8 
9.1 
8.3 
7.9 
7.9 
8.6 
8.3 
8.4 
8.7 
9.4 
9.8 

22.5 
24.5 
26.2 
26.3 
26.6 
29.4 
31.0 
34.7 
36.8 
36.0 
34.0 
33.7 
35.7 
37,1 
37,9 
37,4 
37,6 
38.1 
41,2 
42,3 

180.7 
183.1 
209.3 
220.8 
199.3 
190.7 
195.8 
218.4 
251,1 
258.7 
238.9 
216,5 
205,4 
208.5 
225.1 
212.7 
2209 
233.0 
257.0 
272.7 

188.8 
200.5 
215.8 
231.1 
233.2 
247.0 
262,1 
286.0 
298.5 
289,7 
289,2 
279.2 
2902 
302.9 
346.1 
351.3 
370.2 
383.4 
424.1 
433,3 

1.1408 
1,222.5 
1,437.7 
1,532.1 
1,448.2 
1,419.8 
1,434.6 
1,511.9 
1,684.1 
1,649.5 
1.488.8 
1.337,7 
1.263,7 
1.287.3 
1.344.6 
1,. 329,6 
1,309.2 
1,276.3 
1.235.9 
1,252,0 

1.993.6 
2,071.9 
2,489.5 
2.804.8 
2.921.3 
2.729.9 
2.747,4 
2,999.1 
3,167,0 
3,139.7 
3,084.8 
2.868.9 
2,791.3 
2.901.2 
3.0103 
3,081,3 
3,134,9 
3,171,3 
3,194.8 
3,228.8 

426.1 
442.6 
462.2 
473.7 
450.0 
451.9 
4605 
505.6 
502.2 
474.7 
458.8 
430.8 
437.1 
462.0 
507.8 
529.4 
582.9 
630.4 
657.8 
659.0 

1973   

1974   

1975   

1976   

1977   

1978   

1979   

1980   

1981    

1982   

1983   

1984   

1985   

1986   

1987   

1988    

1989   

1990   

1991    

Percent  change:  rate  per  100.000 

inhabitants: 

1991/1990    

+  1.3 
+6.3 

+5.3 

+3.6 
+24.3 
+32.7 

+  1.0 
+4.1 
+2.1 

+4.3 

+  18.6 

+  7.6 

+2.7 
+  13.1 

+24,4 

+6.1 
+28.2 
+  14.1 

+2.2 
+23.3 
+49,8 

+  1.3 

-5,8 

-15.9 

+  1,1 
+4,8 
+4.7 

+.2 
+24.5 
+43.6 

1991/1987    

1991/1982    

'Populations  are  Bureau  of  the  Census  provisional  estimates  as  of  July  1.  except  1980  and  1990  which  are  the  decennial  census  counts. 
^Because  of  rounding,  the  offenses  may  not  add  to  totals. 

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

^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. 

All  rates  were  calculated  on  the  offenses  before  rounding. 

Data  for  199!  were  not  available  for  the  State  of  Iowa:  therefore,  it  was  necessary  that  their  crime  counts  be  estimated.  See  "Offense  Estimation."  page  377  for  details. 


58 


Table  2.— Index  of  Crime,  United  States,  1991 


Area 

Population' 

Crime 
Index 
total 

Modified 
Crime 
Index 
totaP 

Violent 
crime' 

Property 
crime' 

Murder 

Forcible 
rape 

Robbery 

•Aggra- 
vated 
assault 

Burglary 

Larceny- 
theft 

Motor 

vehicle 

theft 

Arson' 

Iniled  States  Total   

Rate  per  100.000 

252.177,000 

14,872,883 

5.897.8 

1,911,767 

758.1 

12,961,116 

5.139.7 

24,703 

9.8 

106,593 

42.3 

687,732 

272.7 

1,092,739 

433,3 

3,157,150 

1.252.0 

8,142,228 

3.228.8 

1,661,738 

659.0 

MetropoliUn 

195,233,844 

96.9% 
lOO.OVn 

22,775,569 

88.2% 
100.0% 

34,167.587 

85.5% 
100.0% 

12.650.488 
12.915.670 

6,615.5 

1.095,800 
1,238,0.34 

5,435.8 

637.980 
719.179 

2.104.9 

1.705.579 
1.727.995 

885.1 

96.980 
109.575 

481.1 

64.395 

74.197 

217.2 

10.944.909 
11.187.675 

5,730.4 

998.820 
1.128.459 

4.954.7 

573.585 
644.982 

1.887.7 

21.405 
21.594 

11.1 

1.031 

1.155 

5,1 

1.674 
1.954 

5.7 

88.849 
90.661 

46.4 

6.964 
7.839 

34.4 

7.265 
8.093 

23.7 

661.381 
665,905 

341,1 

14,170 
15,923 

69.9 

5,164 
5,904 

17,3 

933.944 
949.835 

486.5 

74.815 
84,658 

371.7 

50,292 
58,246 

170,5 

2,613.827 
2.670.592 

1.367.9 

215,353 
244,616 

1,074.0 

216.324 
241.942 

708.1 

6,784.451 
6.949.546 

3.559.6 

736.546 
830.686 

3.647.3 

320,951 
361,996 

1,059,5 

1.546.631 
1.567.537 

802.9 

46,921 
53,157 

233.4 

36.310 
41.044 

120.1 

Area  actually  reponing''  

Rate  per  100,000 
inhabitants                    

Cities  outside  metropolitan  areas    ... 

Area  actually  reporting^  

Estimated  totals 

Rale  per  100,000 

Area  actually  reporting*  

Estimated  totals 

Rate  per  100,000 

'Populations  are  Bureau  of  the  Census  provisional  estimates  as  of  July  1,  1991.  and  are  subject  to  change. 

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

the  property  crime  of  arson. 

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

Data  for  1991  were  not  available  for  the  State  of  Iowa;  therefore,  it  was  necessary  that  their  crime  counts  be  estimated.  See  "Offense  Estimation,"  page  377  for  details. 

Table  3. — Index  of  Crime,  Regional  Offense  and  Population  Distribution,  1991 

Region 

Population 

Crime 
Index 
total 

Modified 
Crime 
Index 
total' 

Violent 
crime' 

.  Property 
crime' 

Murder 
and  non- 
negligent 

man- 
slaughter 

Forcible 
rape 

Robbery 

.\ggra- 
vated 
assault 

Burglary 

Larceny- 
theft 

Motor 

vehicle 

theft 

Arson' 

United  Stales  TotaP  

100.0 

100.0 

100.0 

100.0 

100.0 

100.0 

100.0 

100.0 

100.0 

100.0 

100.0 

20.2 
23.9 
34.5 
21.4 

17.7 
21.3 
37.5 
23.5 

20.1 
19.9 
36.3 
23.8 

17.3 
21.5 

37.7 
23.5 

17.3 
19.1 
42.6 
21.1 

13.8 
25.7 
36.9 
23.6 

26.1 
19.5 
31.8 
22.6 

16.9 
19.5 
38.9 
24.6 

16.3 
19.8 
41.2 
22.7 

16.3 
22.8 
37.5 
23.4 

24.4 
18.4 
31.5 

25.7 

Midwestern  States 

Southern  States       ..... 

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

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

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

Data  for  1991  were  not  available  for  the  State  of  Iowa;  therefore,  it  was  necessary  that  their  crime  counts  be  estimated-  See  "OfTense  Estimation,"  page  377  for  details. 


59 


Table  4.— Index  of  Crime:  Region,  Geographic  Division,  and  State.  1990-1991 

Area 

Year 

Population' 

Crime  Index  total 

Modified  Crime 
Index  total- 

Violent 

cnme' 

Property 

cnme^ 

Murder  and  non- 
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*  

1990 
1991 

248,709,873 
252,177,000 

14,475,613 

14,872,883 

+2.7 

5,820J 

5,897.8 

+1.3 

1,820,127 

1,911,767 

+5.0 

731.8 
758.1 
+3.6 

12,655,486 
12,961,116 

+2.4 

5,088.5 

5,139.7 

+1.0 

23,438 
24,703 

+5.4 

9.4 

Percent  change    

9.8 
+4.3 

Northeast           

1990 
1991 

50,809,229 
50,976.000 

2,638,764 

2,628,067 

-.4 

5,193.5 
5,155.5 

-.7 

384,497 

383,413 

-.3 

756.7 
752.1 

2,254,267 

2,244,654 

-.4 

4,436.7 

4,403.4 

-.8 

4,359 
4,275 
-1.9 

8.6 

Percent  change  

8.4 
-2.3 

1990 
1991 

13,206,943 
13.197,000 

659.792 

653,309 

-1.0 

4.995.8 

4,950.4 

-.9 

70.769 

70,148 

-.9 

535.8 

531.5 

-.8 

589.023 

583.161 

-1.0 

4,459.9 

4,418.9 

-1.3 

521 

540 

+3.6 

3.9 

4.1 

+5.1 

1990 
1991 

3,287,116 
3,291,000 

177,068 

176,531 

-.3 

5,386.7 

5,364.1 

-.4 

18,201 

17,761 

-2.4 

553.7 
539.7 
-2.5 

158.867 

158.770 

-.1 

4.833.0 

4.824.4 

-  2 

166 
187 

+  12.7 

5.1 

5.7 
+  11.8 

1990 
1991 

1,227,928 
1,235,000 

45,406 
46.531 

+2.5 

3.697.8 

3.767.7 

+  1.9 

1.759 
1.631 
-7.3 

143.2 
132.1 
-7.8 

43,647 

44.900 

+2.9 

3,554.5 
3.635.6 

+2.3 

30 

15 

-50.0 

2.4 

1.2 
-50.0 

1990 
1991 

6,016.425 
5,996.000 

318.742 
319.128 

+.1 

5,297.9 

5.322.3 

+.5 

44.300 

44.138 

-.4 

736.3 
736.1 

274,442 
274.990 

+.2 

4,561.5 
4.586.2 

+.5 

243 
249 

+2.5 

4.0 

Percenl  change  

4.2 
+5.0 

1990 
1991 

1.109,252 
1,105,000 

40.435 

38,098 

-5,8 

3.645.2 

3.447.8 

-5.4 

1,459 
1.318 
-9.7 

131.5 
119.3 
-9.3 

38.976 

36.780 

-5.6 

3.513.7 

3.328.5 

-5.3 

21 

40 

+90.5 

1.9 

Percent  change  

3.6 

+89.5 

Rhode  Island                       

1990 
1991 

1,003,464 
1.004,000 

53,712 

50.595 

-5.8 

5.352.7 

5.039.3 

-5.9 

4.334 
4.638 
+7.0 

431.9 
462.0 
+  7.0 

49.378 

45.957 

-6.9 

4.920.8 

4.577.4 

-7.0 

48 

37 

-22.9 

4.8 

Percent  change  

3.7 
-22.9 

1990 
1991 

562,758 
567,000 

24,429 

22.426 

-8.2 

4.340.9 

3.955.2 

-8.9 

716 
662 

-7.5 

127.2 
116.8 

-8.2 

23.713 

21,764 

-8.2 

4.213.7 

3.838.4 

-8.9 

13 
12 

-7.7 

2.3 

Percenl  change  

2.1 

-8.7 

1990 
1991 

37,602,286 
37.779.000 

1.978,972 

1.974,758 

-.2 

5.262.9 
5,227,1 

-.7 

313.728 

313,265 

-1 

834,3 

829.2 

-.6 

1.665,244 
1.661.493 

_  2 

4,428.6 

4.397.9 

-.7 

3.838 
3.735 

-2.7 

10.2 

9.9 
-2.9 

1990 
1991 

7.730.188 
7.760.000 

421.080 

421.469 

+.1 

5.447.2 

5.431.3 

-3 

50.057 

49,257 

-1.6 

647.6 
634.8 
-2.0 

371.023 

372.212 

+.3 

4,799.7 

4.796.5 

-.1 

432 
406 
-6.0 

5.6 

Percenl  change  

5.2 
-7.1 

New  York      

1990 
1991 

17,990,455 
18,058,000 

1,144,874 

1,127.651 

-1.5 

6.363.8 

6.244.6 

-1.9 

212,458 

210,184 

-M 

1.180.9 

1.163.9 

-1.4 

932,416 

917,467 

-1.6 

5.182.8 

5.080.7 

-2.0 

2.605 
2.571 
-1.3 

14.5 

Percent  change  

14.2 
-2.1 

1990 
1991 

11,881,643 
11,961,000 

413.018 

425.638 

+3.1 

3,476.1 
3,558.5 

+2.4 

51,213 

53,824 

+5.1 

431.0 
450.0 

+4.4 

361,805 
371,814 

+2.8 

3.045.1 

3.108.6 

+2.1 

801 

758 

-5.4 

6.7 

Percent  change  

6.3 
-6.0 

See  footnotes  at  end  of  table. 


^n 


Table  4.— Index  of  Crime:  Region,  Geographic  Division,  and  State,  1990- 

1991 

Forcible  rape 

Robbery 

.Aggravated 
assault 

Burglary 

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 

102,555 

10«,593 

+3.9 

41.2 
42.3 

+2.7 

639,271 

687,732 

+7.6 

257.0 

272.7 
+6.1 

1,054.863 

1,092,739 

+3.6 

424.1 
433.3 

+2.2 

3,073,909 
3,157,150 

+2.7 

1,235.9 

1,252.0 

+U 

7,945,670 
8,142,228 

+2.5 

3,194.8 

3,228.8 

+1.1 

1,635,907 

1,661,738 

+1.6 

657.8 
659.0 

+.2 

14,713 
14,748 

+.2 

29,0 
28.9 

-.3 

179,258 
179,276 

352.8 
351.7 

-.3 

186,167 
185,114 

-.6 

366.4 
363.1 

-.9 

518,500 
514,945 

-.7 

1,020.5 
1,010.2 

-1.0 

1,320,269 
1,324,463 

+.3 

2,598.5 
2,598.2 

415.498 
405,246 

-2.5 

817.8 
795.0 

-2,8 

3,970 
3,969 

30.1 
30.1 

22,679 
20.999 

-7.4 

171.7 
159.1 

-7.3 

43,599 
44,640 

+2,4 

3301 
338.3 

+2.5 

144,435 

145,551 

+.8 

1,093.6 

1,102.9 

+.9 

349,371 

343.096 

-1.8 

2,645.4 

2,599.8 

-1.7 

95,217 
94,514 

-.7 

721,0 
716,2 

-.7 

918 
960 

+4.6 

27.9 
29.2 
+4.7 

7,717 
7,384 
-4,3 

234.8 
224.4 
-4.4 

9,400 
9,230 
-1.8 

286,0 
2805 
-1.9 

40,355 

39,198 

-2.9 

1,227,7 

1,191.1 

-3,0 

94,485 

93,384 

-1,2 

2,874.4 

2,8376 

-1,3 

24,027 

26,188 

+9,0 

730.9 
795.7 
+8.9 

242 

270 

+  11.6 

19.7 

21.9 

+  11.2 

308 

280 

-9.1 

25.1 
22.7 
-9.6 

1,179 
1,066 
-9,6 

96.0 

86.3 

-101 

10,106 
11,146 
+  10.3 

823.0 
902.5 

+9.7 

31.372 

31,737 

+  1.2 

2,554.9 

2,569,8 

+,6 

2,169 
2,017 
-7,0 

176.6 
163.3 

-75 

2,030 
1,926 
-5.1 

33.7 
32.1 
-4.7 

13,062 
11,669 
-10.7 

217.1 
194.6 
-10.4 

28,965 

30.294 

+4,6 

481.4 
505.2 
+4.9 

66,942 

69,977 

+4.5 

1,112.7 

1,1671 

+4.9 

151,933 

149,930 

-1.3 

2,525,3 

2,500,5 

-1.0 

55,567 

55,083 

-,9 

923.6 

918.7 

-.5 

386 

330 

-14.5 

34.8 

29.9 

-14.1 

302 

365 

+209 

27.2 

33.0 

+21.3 

750 

583 

-22.3 

67.6 

52.8 

-21.9 

8,158 

8,126 

-,4 

735.5 
735.4 

28,111 

26,220 

-6,7 

2,534.2 

2.372.9 

-6,4 

2,707 
2,434 
-101 

244.0 
220.3 
-9.7 

248 

310 

+25,0 

24.7 

30.9 

+25.1 

1.224 
1,234 

+.8 

122.0 
122.9 

+.7 

2,814 
3,057 
+8.6 

280.4 
304.5 
+8.6 

12,755 
11,320 
-11,3 

1,271.1 
1,127.5 
-11.3 

27,046 

26,664 

-1.4 

2,695,3 

2,655.8 

-1.5 

9,577 
7.973 
-16,7 

954.4 
794.1 
-16.8 

146 

173 

+  18.5 

25.9 
30.5 

+  17,8 

66 

67 
+  1,5 

11.7 
11.8 
+.9 

491 

410 

-16.5 

872 

72.3 

-17.1 

6,119 
5,784 

-5.5 

1.0873 

1,020,1 

-6.2 

16,424 

15,161 

-7,8 

2.918.5 

2,673.9 

-8.4 

1,170 

819 

-30,0 

207.9 
144,4 
-30.5 

10,743 

10,779 

+.3 

28.6 
28.5 
-.3 

156.579 

158.277 

+  1.1 

416.4 

419.0 

+.6 

142,568 

140,474 

-1.5 

379.1 
371.8 
-1.9 

374,065 

369.394 

-1,2 

994.8 
977.8 
-1.7 

970,898 

981,367 

+  1.1 

2,582.0 

2,597.7 

+.6 

320,281 

310,732 

-3,0 

851.8 
822.5 
-3.4 

2,307 
2.259 
-2.1 

29.8 
291 
-2.3 

23,269 

22,744 

-2.3 

301.0 
293.1 
-2.6 

24,049 

23,848 

-.8 

311.1 
3073 

-1.2 

78,628 
78,821 

+.2 

1,017.2 

1,015.7 

-.1 

219,767 
221.544 

+.8 

2,843.0 
2,854,9 

+,4 

72,628 

71,847 

-1,1 

9395 
925.9 

-1.4 

5,368 
5,085 
-5.3 

29.8 

28.2 
-5.4 

112,380 
112,342 

624.7 
622.1 

-.4 

92.105 
90.186 

-2.1 

512.0 
499.4 

-2.5 

208.813 

204.499 

-2,1 

1.160.7 
1,132.5 

-2,4 

536.012 

531.681 

-.8 

2,979.4 

2,944.3 

-1.2 

187,591 

181,287 

-3.4 

1,042,7 
1.003.9 

-3,7 

3,068 
3,435 
+  12.0 

25.8 

28.7 

+  11.2 

20,930 
23,191 
+  10.8 

176.2 
193.9 
+  10.0 

26,414 
26,440 

+.1 

222,3 

221,1 

-.5 

86.624 

86,074 

-.6 

729.1 
719.6 

-1.3 

215,119 

228,142 

+6,1 

1,810.5 
1,907,4 

+5.4 

60,062 

57,598 

-4.1 

505.5 
481.5 

-4.7 

61 


Table  4.— Index  of  Crime:  Region,  Geographic  Division,  and  State,  1990-1991— Continued 


Area 

Year 

Population' 

Crime  Index  total 

Modified  Crime 
Index  total- 

Violent 

crime' 

Property 

crime' 

Murder  and  non- 
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 

Midwest^'             

1990 
1991 

59,668.632 
60.225.000 

3.044,224 

3.165.948 

+4.0 

5,101.9 

5,256.9 

+3.0 

354,392 
380,051 

+7.2 

593.9 
631.1 
U.3 

2,689,832 

2.785.897 

+3.6 

4.507.9 

4.625.8 

+2.6 

4.165 
4,709 
+13.1 

7.0 

Percent  change  

7J 
+11.4 

1990 
1991 

42,008.942 
42,414.000 

2,235,672 

2.324,958 

+4.0 

5.321.9 

5.481.6 

+3.0 

278,170 
298,719 

+7.4 

662.2 
704.3 
+6.4 

1.957.502 

2.026,239 

+3.5 

4.659.7 

4.777.3 

+2.5 

3,385 
3,754 
+  10.9 

8.1 

Percent  change  

8.9 
+9.9 

Illinois*   

1990 
1991 

11,430,602 
11,543,000 

678.416 

707.823 

+4.3 

5,935.1 

6,132.1 

+3.3 

110,575 

119,955 

+8.5 

967.4 
1,039.2 

+7.4 

567.841 

587.868 

+3.5 

4,967.7 
5,092.9 

+2.5 

1.182 
1.300 
+  10.0 

10.3 

11.3 
+9.7 

1990 
1991 

5.544,159 
5,610,000 

259.651 

270.279 

+4.1 

4,683.3 

4,817.8 

+2.9 

26,275 

28,349 

+7.9 

473.9 
505.3 
+6.6 

233.376 
241,930 

+3.7 

4.209.4 

4.312.5 

+2.4 

344 

423 

+23.0 

6.2 

7.5 
+21.0 

1990 
1991 

9,295.297 
9,368,000 

557.232 

575,013 

+3.2 

5,994.8 

6,138.1 

+2.4 

73.468 

75,232 

+2.4 

790.4 
803.1 
+  1.6 

483,764 

499.781 

+3.3 

5.204.4 
5.335.0 

+2.5 

971 
1.009 
+3.9 

10.4 

Percent  change    

10.8 
+3.8 

Ohio             

1990 
1991 

10,847,115 
10,939,000 

525,373 

550,560 

+4.8 

4,843.4 

5,033.0 

+3.9 

54.904 
61.460 
+  11.9 

506.2 
561.8 
+  11.0 

470.469 

489.100 

+4.0 

4,337.3 

4,471.2 

+3.1 

663 

783 
+  18.1 

6.1 

Percent  change       

7.2 
+  18.0 

Wisconsin          

1990 
1991 

4,891,769 
4,955,000 

215,000 
221.283 

+2.9 

4,395.1 

4,465.9 

+  1.6 

12.948 

13,723 

+6.0 

264.7 
277.0 
+4.6 

202.052 
207.560 

+2.7 

4,130.4 

4.188.9 

+  1.4 

225 
239 

+6.2 

4.6 

Percent  change  

4.8 
+4.3 

West  North  Central'  

1990 
1991 

17,659,690 
17,811,000 

808.552 

840.990 

+4.0 

4,578.5 

4,721.7 

+3.1 

76,222 

81.332 

+6.7 

431.6 
456.6 
+5.8 

732.330 
759.658 

+3.7 

4.146.9 
4,265.1 

+2.9 

780 
955 

+22.4 

4.4 

5.4 

+22.7 

jowa'                      

1990 
1991 

2,776,755 
2,795,000 

113,871 
115,546 

+  1.5 

4,100.9 
4,134.0 

+.8 

8.321 

8.477 
+  1.9 

299.7 
303.3 

+  1.2 

105.550 
107,069 

+  1.4 

3,801.2 
3,830.7 

+.8 

54 

57 

+5.6 

1.9 

2.0 
+5.3 

1990 
1991 

2,477,574 
2,495.000 

128,664 
138,081 

+7.3 

5,193.1 

5,534.3 

+6.6 

11.093 
12.465 
+  12.4 

447.7 
499.6 
+  11.6 

117,571 

125.616 

+6.8 

4.745.4 

5.034.7 

+6.1 

98 

153 

+56.1 

4.0 

Percent  change  

6.1 

+52.5 

1990 
1991 

4,375,099 
4,432,000 

198,577 

199,274 

+.4 

4,538.8 

4,496.3 

-.9 

13.392 

14,006 

+4.6 

306.1 
316.0 

+3.2 

185.185 
185.268 

4.232.7 

4.180.2 

-1.2 

117 

131 

+  12.0 

2.7 

Percent  change  

3.0 
+  11.1 

Missouri  

1990 
1991 

5,117.073 
5,158,000 

262,024 

279,340 

+6.6 

5,120.6 

5,415.7 

+5.8 

36,602 
39,358 

+  7.5 

715.3 
763.0 

+6.7 

225.422 
239.982 

+6.5 

4.405.3 

4,652.6 

+5.6 

449 

543 

+20.9 

8.8 

10.5 
+  19.3 

Nebraska                     

1990 
1991 

1.578.385 
1.593.000 

66,499 
69.361 

+43 

4.213.1 
4.354.1 

+3.3 

5.209 
5.330 

+2.3 

330.0 
3346 
+  1.4 

61.290 
64.031 

+4.5 

3,883.1 
4,019.5 

+3.5 

43 

52 

+20.9 

2.7 

Percent  change  

3.3 
+22.2 

North  Dakota 

1990 
1991 

638.800 
635.000 

18.668 

17.741 

-5.0 

2.922.4 

2.793.9 

-4.4 

472 

415 

-12,1 

73.9 

65.4 

-11.5 

18.196 

17,326 

-4.8 

2,848.5 

2,728.5 

-4.2 

5 

7 
+40.0 

.8 

Percent  change  

1.1 

+37.5 

1990 
1991 

696.004 
703.000 

20,249 

21,647 

+6.9 

2.909.3 
3.079.2 

+5.8 

1.133 
1.281 
+  13.1 

162.8 
182.2 
+  11.9 

19.116 
20.366 

+6.5 

2,746.5 
2,897.0 

+5.5 

14 

12 

-M.3 

2.0 

Percent  change  

1.7 
-15.0 

See  footnotes  at  end  of  table. 


62 


r«ble  4.— Index  of  Crime:  Region,  Geographic  Division,  and  State,  1990- 

1991— Continued 

Forcible  rape 

Robbery 

Aggravated 
assault 

Burglary 

Larceny-theft 

Motor  vehicle  theft 

Arson- 

Number 

Rate  per 
100,000 

Number 

Rate  per 

100.000 

Number 

Rate  per 
100,000 

Number 

Rate  per 
100.000 

Number 

Rate  per 

100.000 

Number 

Rate  per 

100,000 

Number 

Rate  per 
100,000 

25,393 

27J73 
+7J 

42.6 

45.5 
+6.8 

118,450 

134,431 

+13.5 

198.5 

223.2 
+  12.4 

206.384 
213,538 

+3.5 

345.9 
354.6 

+2.5 

586,804 
624.318 

U.4 

983.4 
1,036.6 

+5.4 

1,804.238 

1,856.382 

+2.9 

3.023.8 

3.082.4 

+  1.9 

298,790 

305,197 

+2.1 

500.7 
506.8 
+  1.2 

19.905 

21,312 

+7  J 

47.4 
50.2 
+5.9 

98.374 

111,380 

+  13.2 

234.2 
262.6 
+  12.1 

156,506 

162,273 

+3.7 

372.6 
382.6 

+2.7 

423.408 

447.888 

+5.8 

1.007.9 

1.056.0 

+4.8 

1.296.353 

1,336,594 

+3.1 

3,085,9 

3,151.3 

+2.1 

237,741 

241,757 

+  1.7 

565,9 
570.0 

+.7 

4,505 
4,615 

+2,4 

39.4 
40.0 

+  1.5 

45.038 
52.653 
+  16.9 

394.0 
456.1 
+  15.8 

59.850 

61.387 

+2.6 

523.6 
531.8 
+  1.6 

121,506 

129.284 

+6.4 

1.063.0 
1,120,0 

+5,4 

372.862 
382,942 

+2.7 

3,262,0 

3,317,5 

+  1,7 

73.473 

75.642 

+3.0 

642.8 
655.3 
+  1.9 

2,103 
2,318 
+10.2 

37.9 
41.3 
+9.0 

5,619 
6,506 
+  15,8 

101.3 
116.0 
+  14.5 

18,209 

19,102 

+4,9 

328.4 
.340.5 

+3.7 

52,297 

54,814 

+4,8 

943,3 
977.1 
+3.6 

156.741 
161.039 

+2.7 

2,827,1 
2,870.6 

+  1.5 

24,338 
26,077 

+  7.1 

439.0 
464.8 
+5.9 

7,209 

7,372 
+2.3 

77,6 
78.7 
+  1.4 

21,752 

22,790 

+4.8 

234.0 
243.3 
+4.0 

43,536 
44,061 

+  1.2 

468.4 
470.3 

+.4 

106,275 

111,126 

+4,6 

1.143.3 

1.186.2 

+3.8 

311,153 
324,985 

+4.4 

3.347.4 

3.469.1 

+3.6 

66,336 

63,670 

-4.0 

713.7 
679.7 
-4.8 

5,075 
5,748 
+  13.3 

46.8 

52.5 

+  12.2 

20.451 
23.536 
+  15.1 

188.5 

215.2 
+  14.2 

28.715 

31.393 

+9.3 

264.7 
287.0 
+8.4 

106,575 

115,423 

+8,3 

982.5 
1.055.2 

+7.4 

310,673 
318,933 

+2.7 

2.864.1 

2.915.6 

+  1.8 

53,221 

54,744 

+2.9 

490.6 
500.4 
+2.0 

1,013 
1,259 
+24  3 

20.7 
25.4 

+22.7 

5.514 
5.895 
+6,9 

112.7 
119.0 

+5.6 

6.196 
6.330 

+2.2 

1267 

127.7 
+.8 

36,755 

37,241 

+  1.3 

751.4 
751.6 

144,924 
148,695 

+2.6 

2.962.6 

3.000.9 

+  1-3 

20.373 
21.624 

+6.1 

416.5 
436.4 
+4.8 

5,488 
6,061 
+104 

31.1 
34.0 
+9.3 

20,076 
23,051 
+  14.8 

113.7 
129.4 
+  13.8 

49.878 

51.265 

+2.8 

282.4 
287.8 
+  1.9 

163.396 

176.430 

+8.0 

925.2 
990.6 

+7.1 

507,885 
519,788 

+2.3 

2,8760 

2,918,4 

+  1.5 

61.049 

63.440 

+3.9 

345.7 
356.2 
+3.0 

510 

583 

+  14.3 

18.4 

20.9 

+  13.6 

1,089 

1,257 
+  15,4 

39.2 

45.0 

+  14.8 

6.668 
6.580 
-1.3 

240.1 
235.4 
-2.0 

22.448 

23.267 

+3.6 

808.4 
832.5 
+3.0 

78.384 
79,030 

+,8 

2,822,9 

2,827,5 

+.2 

4.718 
4.772 
+  1.1 

169.9 
170.7 

+.5 

1,002 
1,118 
+  11.6 

40.4 

44.8 

+  10.9 

2,914 
3,453 
+  18,5 

117.6 
138.4 

+  17.7 

7,079 
7,741 
+9,4 

285.7 
310.3 
+8.6 

28,901 
32,601 
+  12,8 

1.166.5 
1.306.7 
+  12.0 

80,361 
84,258 

+4.8 

3,243,5 

3,377.1 

+4,1 

8.309 

8.757 
+  5.4 

335.4 
351.0 

+4.7 

1,487 
1,762 
+  18.5 

34.0 

39,8 

+  17.1 

4,057 
4,345 
+7.1 

92.7 
98.0 

+5.7 

7,731 

7,768 

+,5 

176.7 

175.3 

-.8 

39,691 

37,832 

-4,7 

907.2 
853.6 
-5.9 

129,500 

131,330 

+  1.4 

2.959.9 
2.963.2 

+.1 

15.994 
16.106 

+.7 

365.6 

363.4 

-.6 

1.663 

1,756 
♦56 

32.5 
.14.0 
+4.6 

11.073 
12.952 
+  17.0 

216.4 
251.1 
+  16.0 

23,417 

24,107 

+2,9 

457.6 
467.4 
+2.1 

54,536 
64,643 
+  18,5 

1,065.8 

1,253,3 

+  17,6 

143.287 
146.533 

+2.3 

2.800.2 
2.840.9 

+  1.5 

27,599 
28,806 

+4,4 

539.4 
558.5 

+3.5 

473 
447 

-5.5 

30.0 
28.1 

-6.3 

807 
861 

+67 

51.1 
54.0 

+5.7 

3,886 
3,970 

+2.2 

246.2 
249.2 
+  1.2 

11,424 

11,574 

+  1,3 

723.8 
726.6 

+.4 

47.054 

49,071 

+4.3 

2.981.1 
3.080.4 

+3.3 

2,812 
3,386 
+20.4 

178.2 
212.6 
+  19.3 

114 
116 

+  1.8 

17.8 
18.3 
+2.8 

50 
51 

+2.0 

7,8 
8.0 

+2.6 

303 

241 

-20,5 

47.4 

38.0 

-19.8 

2,725 
2,367 
-13.1 

426.6 
372.8 
-12.6 

14.621 

14,154 

-3.2 

2,288.8 

2,229,0 

-2.6 

850 
805 
-5.3 

133.1 
126.8 

-4.7 

239 
279 

+  16.7 

34.3 
39.7 

+  15.7 

86 
132 

+53.5 

12.4 
18.8 

+51.6 

794 
858 

+8,1 

114.1 
122.0 
+6.9 

3.671 
4.146 
+  12.9 

527.4 
589.8 
+  11.8 

14,678 

15,412 

+5.0 

2.108,9 

2,192.3 

+4.0 

767 
808 
+  5.3 

110.2 
114.9 

+4.3 

63 


Table  4.— Index  of  Crime:  Regio 

1,  Geographic  Division,  and  State,  1990-1991— Continued 

Area 

Year 

Population' 

Crime  Index  total 

Modified  Crime 
Index  total- 

Violent 

crime' 

Property 

crime' 

Murder  and  non- 
negligent  manslaughter 

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 

3oiith                

1990 
1991 

85,445,930 
86,916.000 

5,411,894 

5,576,968 

+3.1 

6,333.7 

6,416.5 

+1.3 

654,784 

693,615 

+5.9 

766J 
798.0 
+4.1 

4,757,110 

4,883,353 

+2.7 

5,567.4 

5,618.5 

+.9 

10.113 

10,517 

+4,0 

11.8 

12.1 

+2,5 

South  Atlantic         -- 

1990 
199: 

43.566.853 
44.421.000 

2,852.040 

2.925.235 

+2.6 

6.546.4 

6.585.2 

+.6 

373.322 

378.009 

+  1.3 

8569 
851.0 

-.7 

2.478.718 

2.547.226 

+2.8 

5.689.5 

5.734.3 

+.8 

4,951 
5,050 
+  1.9 

11.4 

11.4 

1990 
1991 

666.168 
680.000 

35.709 
39.912 
+  11.8 

5.360.4 
5.869.4 

+9.5 

4,365 
4,857 
+  11.3 

655.2 
714.3 
+9.0 

31.344 
35.055 
+  11.8 

4.705.1 

5.155.1 

+9.6 

33 

37 
+  12.1 

5.0 

Percent  change  

5.4 
+8.0 

1990 
1991 

606,900 
598,000 

65.389 

64,393 

-1.5 

10.774.3 

10,768.1 

-.1 

14,919 

14,671 
-1.7 

2.458.2 

2.453.3 

-2 

50,470 

49,722 

-1.5 

8.316.0 
8,314.7 

472 
482 
+2.1 

77.8 

Percent  change  

80.6 
+3.6 

Florida 

1990 
1991 

12.937,926 
13,277,000 

1,139.934 

1,134,813 

-.4 

8,810.8 

8,547.2 

-3.0 

160,990 

157,243 

-2.3 

1.244.3 

1,184.3 

-4.8 

978,944 

977,570 

-.1 

7,566.5 
7.362.9 

-2.7 

1,379 
1,248 
-9.5 

10.7 

Percent  change  

9.4 
-12.1 

Georgia                   

1990 
1991 

6,478,216 
6,623,000 

438,161 

430,059 

-1.8 

6.763.6 

6.493.4 

-4.0 

48,996 
48,894 

-.2 

756.3 
738.2 
-2.4 

389,165 

381,165 

-2.1 

6.007.3 

5.755.2 
-4.2 

767 

849 

+  10.7 

11.8 

12.8 
+8.5 

1990 
1991 

4.781,468 
4.860.000 

278,782 

301.768 

+8.2 

5.830.5 

6,209.2 

+6.5 

43,940 

46,469 

+5.8 

919.0 
956.2 
+4.0 

234,842 

255.299 

+8.7 

4,911.5 

5.253.1 

+  7.0 

552 
569 

+3.1 

11.5 

11.7 
+  1.7 

1990 
1991 

6.628.637 
6.737,000 

363.638 

396,723 

+9.1 

5,485.9 
5,888.7 

+7.3 

41,332 

44,355 

+7.3 

623.5 
658.4 
+5.6 

322.306 

352.368 

+9.3 

4.862.3 

5.230.3 

+7.6 

711 
769 

+8.2 

10.7 

Percent  change  

11.4 
+65 

1990 
1991 

3,486,703 
3,560,000 

210,779 

219,980 

+4.4 

6,045.2 
6,179.2 

+2.2 

34.050 
34.621 

+  1.7 

976.6 

972.5 

-.4 

176.729 

185,359 

+4.9 

5,068.7 
5,206.7 

+2.7 

390 
402 

+3.1 

11.2 

Percent  change     

11.3 

+.9 

1990 
1991 

6,187,358 
6,286,000 

274,757 

289,619 

+5.4 

4,440.6 

4,607,4 

+3.8 

21.694 

23.459 

+8.1 

350.6 
373.2 
+6.4 

253.063 
266.160 

+5.2 

4,090.0 

4,234.2 

+3.5 

545 

583 

+7.0 

8.8 

9.3 

+5.7 

West  Virginia               

1990 
1991 

1,793,477 
1,801,000 

44,891 

47,968 

+6.9 

2,503.0 

2,663.4 

+6.4 

3,036 
3,440 
+  13.3 

169.3 
191.0 
+  12.8 

41.855 

44.528 

+6.4 

2,333.7 

2,472.4 

+5.9 

102 
111 

+8.8 

5.7 

Percent  change  

6.2 
+8.8 

1990 
1991 

15,176,284 
15,347,000 

666,105 

719,305 

+8.0 

4.389.1 

4.686.9 

+6.8 

84,472 
96,820 
+  14.6 

556.6 
630.9 
+  13.3 

581.633 

622.485 

+7.0 

3,832.5 

4.056.1 

+5.8 

1,555 
1.601 
+3.0 

10.2 

10.4 
+2.0 

1990 
1991 

4,040,587 
4,089,000 

198,604 

219,400 

+  10.5 

4.915.2 

5.365.6 

+9.2 

28,630 
34,518 
+20.6 

708.6 
844.2 
+  19.1 

169.974 

184.882 

+8.8 

4.206.7 
4.521.4 

+7.5 

467 
469 

+.4 

11.6 

11.5 
-.9 

1990 
1991 

3,685,296 
3,713,000 

121,594 
124,692 

+2.5 

3,299.4 

3.358.3 

+  1.8 

14,386 
16.262 
+  13.0 

390.4 
438.0 

+  12.2 

107.208 
108.430 

+  1.1 

2.909.1 
2.920.3 

+.4 

264 
253 
-4.2 

7.2 

Percent  change  

6.8 
-5.6 

1990 
1991 

2,573.216 
2.592.000 

99,561 

109.402 

+9.9 

3.869.1 

4.220.8 

+9.1 

8.758 
10.085 

+  15.2 

340.4 
389.1 
+  14.3 

90.803 

99.317 

+9.4 

3.528.8 

3,831.7 

+8.6 

313 
332 
+6.1 

12.2 

Percent  change 

12.8 
+4.9 

1990 
1991 

4.877,185 
4.953.000 

246.346 

265.811 

+79 

5.051.0 

5.366.7 

+63 

32.698 
35.955 
+  10.0 

670.4 
725.9 
+8.3 

213,648 
229,856 

+7.6 

4,380.6 

4,640.7 

+  5.9 

511 

547 
+  7.0 

10.5 

Percent  change  

11.0 

+4.8 

West  South  Central 

1990 
1991 

26.702,793 
27,147,000 

1.893.749 

1.932,428 

+2.0 

7.092.0 
7,118.4 

+.4 

196,990 

218.786 

+  11.1 

737.7 
805.9 
+9.2 

1,696,759 

1,713,642 

+  1.0 

6,354.2 
6,312.5 

-.7 

3,607 
3,866 

+7.2 

13.5 

Percent  change  

14.2 
+5.2 

Arkansas           

1990 
1991 

2,350,725 
2.372.000 

114,408 

122,749 

+7.3 

4,866.9 

5.174.9 

+6.3 

12.511 
14,072 
+  12.5 

532.2 
593.3 
+  11.5 

101,897 
108,677 

+6.7 

4,334.7 
4.581.7 

+5.7 

241 

264 

+9.5 

10.3 

Percent  change  

11.1 

+7.8 

1990 
1991 

4.219.973 
4.252,000 

273,736 

273,170 

-.2 

6.486.7 

6.424.5 

-1.0 

37.914 
40.438 

+6.7 

898.4 
951.0 
+5.9 

235,822 

232,732 

-1.3 

5.588.2 

5.473.5 

-2.1 

724 
720 
-.6 

17.2 

Percent  change  

16.9 

-1.7 

1990 
1991 

3,145,585 
3,175,000 

176,111 
179,982 

+2.2 

5.598.7 
5.668.7 

+  1.3 

17.222 

18,533 

+7.6 

547.5 
583.7 
+6.6 

158.889 

161,449 

+  1.6 

5.051.2 
5.085.0 

+.7 

253 

230 

-9.1 

8.0 

7.2 
-10.0 

Texas          

1990 
1991 

16,986,510 
17,349,000 

1,329.494 

1,356.527 

+2.0 

7.826.8 

7,819.1 

-.1 

129.343 
145.743 

+  12.7 

761.4 
840.1 
+  10.3 

1,200,151 

1,210,784 

+.9 

7.065.3 

6.979.0 

-1.2 

2,389 
2.652 
+  11.0 

14.1 

Percent  change  

15.3 

+8.5 

See  footnotes  at  end  of  table. 


64 


Fable  4. — Index  of  Crime:  Region,  Geograpliic  Division,  and  State,  1990- 

1991— Continued 

Forcible  rape 

Robbery 

Aggravated 
assault 

Burglary 

Larceny-theft 

Motor  vehicle  theft 

Arson' 

Number 

Rale  per 
100,000 

Number 

Rale  per 
100,000 

Number 

Rale  per 
100.000 

Number 

Rate  per 
100.000 

Number 

Rale  per 
100,000 

Number 

Rate  per 
100,000 

Number 

Rate  per 
100,000 

38,776 

39,364 

+1.5 

45.4 

45.3 
-.2 

202,626 
218,628 

+7.9 

237,1 
251,5 
+6,1 

403,269 
425,106 

+5,4 

472.0 
489.1 
+3,6 

1,280,258 
1,302,314 

+1.7 

1,498.3 
1,498.4 

2,965,926 

3,057,308 

+3.1 

3,471,1 

3,517.5 
+1.3 

510,926 
523,731 

+2.5 

598,0 

602.6 

+.8 

19,8,11 

19,419 

-2.0 

45.5 
43.7 
-4.0 

120,553 
126,869 

+5.2 

276.7 
285.6 

+3.2 

228,007 

226,671 

-,6 

523.3 
510.3 
-2.5 

664,383 

669,996 

+.8 

1.525.0 

1,508.3 

-1.1 

1,563,565 

1,628,120 

+4,1 

3,588.9 

3,665.2 

+2.1 

250.770 

249,110 

-.7 

575.6 
560.8 
-2.6 

587 
588 

+.2 

88.1 
86.5 
-1.8 

1.098 
1.460 
+33.0 

164.8 
214.7 
+30.3 

2,647 

2,772 
+4.7 

397.3 
407.6 
+2.6 

6,465 
7,668 
+  18.6 

970.5 
1,127.6 
+  16.2 

21,922 
24,836 
+  13,3 

3,290.8 

3,652,4 

+  11.0 

2,957 
2,551 
-13.7 

443.9 
375.1 
-15.5 

303 

214 
-29.4 

49.9 

35.8 

-28.3 

7,365 
7,269 
-1.3 

1,213,5 
1.215.6 

+.2 

6,779 
6,706 
-1,1 

1,117.0 
1.121.4 

+.4 

12,035 

12,405 

+3,1 

1,983.0 

2,074.4 

+4.6 

30,326 

29,182 

-3.8 

4,996,9 

4,879.9 

-2.3 

8.109 

8,135 

+,3 

1,336,1 

1,360,4 

+  1,8 

6,781 
6,865 
+  1.2 

52.4 

53.928 

53.083 

-1.6 

416.8 
399.8 
-4.1 

98,902 

96,047 

-2.9 

764.4 

723.4 
-5.4 

280,832 
266,313 

-5.2 

2.170.6 

2,005.8 

-7.6 

591,210 
607,222 

+2,7 

4,569.6 

4.573.5 

+.1 

106,902 
104,035 

-2.7 

826,3 
783.6 
-5.2 

3,472 
2.800 
-19.4 

53.6 

42.3 

-21.1 

17,067 

17,762 

+4.1 

263.5 
268.2 
+  1.8 

27.690 

27,483 

-.7 

427.4 
415.0 
-2.9 

104,905 
100,317 

-4.4 

1.619.4 

1.514.7 

-6.5 

240,623 

240,359 

-,1 

3,714.3 

3.629.2 

-2.3 

43,637 
40,489 

-7,2 

673.6 
611.3 
-9.2 

2.185 
2.229 
+2.0 

45.7 
45.9 

+.4 

17.394 
19.783 
+  13.7 

363.8 
407.1 
+  11.9 

23.809 
23,888 

+.3 

497.9 
491.5 
-1.3 

53,549 

56,258 

+5.1 

1,119.9 

1,157.6 

+3.4 

147,407 

163,524 

+  10.9 

3,082.9 

3.364.7 

+9.1 

33,886 
35,517 

+4.8 

708.7 
730.8 

+3.1 

2.272 
2.331 
+2.6 

34.3 
34,6 
+.9 

10.082 
11.990 
+  18.9 

152.1 
178.0 
+  17.0 

28.267 

29.265 

+3.5 

426.4 
434.4 
+  1.9 

101,444 
114,009 

+  12,4 

1,530.4 
1.692.3 
+  10.6 

202,059 

218,192 

+8,0 

3.048.3 

3.238,7 

+6.2 

18.803 
20.167 

+7.3 

2837 
299.3 

+5.5 

1,873 
2,098 

+  12.0 

53.7 
58.9 
+9.7 

5.313 
6.092 
+  14.7 

152.4 
171.1 
+  12.3 

26,474 

26,029 

-1.7 

759.3 
731.2 

-3.7 

48,132 

51,793 

+7.6 

1.380.4 

1.454.9 

+5.4 

115,144 

119,784 

+4.0 

3.302.4 

3.364.7 

+  1.9 

13,453 

13,782 

+2.4 

385.8 
387.1 

+.3 

1.915 
1.879 
-1,9 

31.0 
29.9 
-3.5 

7.626 
8,651 
+  13.4 

123.3 
137.6 
+  11.6 

11.608 

12,346 

+6.4 

187.6 
196.4 

+4.7 

45,236 

49,224 

+8.8 

731.1 
783.1 

+7.1 

187.564 
195.652 

+4.3 

3.031.4 
3.112.5 

+2.7 

20.263 

21.284 

+  5.0 

327.5 
338.6 
+3.4 

423 
415 
-1.9 

23.6 
23.0 

-2.5 

680 

779 

+  14.6 

37.9 

43.3 

+  14.2 

1,831 
2,135 
+  16.6 

102.1 
118.5 
+  16.1 

11,785 
12,009 

+  1,9 

657.1 
666.8 

+  1,5 

27,310 
29,369 

+7.5 

1.522.7 
1.630.7 

+71 

2,760 
3,150 

+  14.1 

153.9 
174.9 
+  13.6 

5.936 
6,268 
+5.6 

39.1 
40.8 
+4.3 

19.892 
22.888 
+  15.1 

131.1 
149.1 
+  13.7 

57,089 
66,063 

+  15.7 

376.2 
430.5 
+  14.4 

166,691 

183,581 

+  10.1 

1.098.4 

1.196.2 

+8.9 

360,323 

378,264 

+5.0 

2.374.3 

2.464.7 

+3.8 

54,619 
60,640 
+  11,0 

359.9 
395.1 
+9.8 

1,319 
1,455 

+  10.3 

32.6 
35.6 

+9.2 

5,805 
6,246 

+7.6 

143.7 
152.8 
+6.3 

21,039 
26,348 

+25.2 

520.7 
644.4 
+23.8 

44,585 
51.873 
+  16.3 

1,103.4 
1,268.6 
+  15.0 

111.336 

118.151 

+6.1 

2,755.4 

2,889.5 

+4.9 

14,053 
14,858 

+5,7 

347.8 
363.4 

+4.5 

1.068 
1.315 
+23.1 

29.0 
35.4 

+22.1 

2,545 
3.084 
+21.2 

69.1 

83.1 

+20.3 

10,509 
11,610 
+  10.5 

285.2 
312.7 
+9.6 

28,264 

29,576 

+4.6 

766.9 
796.6 
+3.9 

71.594 

70,885 

-1.0 

1.942.7 
1.909.1 

-1.7 

7,350 
7,969 
+8.4 

199.4 
214.6 
+7.6 

1,134 
1,199 

+5.7 

44.1 
46.3 
+5.0 

2,217 
3,015 
+36.0 

86.2 
116.3 
+34.9 

5,094 
5,539 

+8.7 

198.0 
213.7 
+7.9 

32,196 
34,524 

+7.2 

1,251.2 

1,331.9 

+6.4 

53,266 

57,373 
+7,7 

2,070.0 

2.213.5 

+6.9 

5.341 
7,420 
+38.9 

207.6 
286.3 
+37.9 

2,415 
2.299 
-4.8 

49.5 
46.4 
-6.3 

9.325 
10.543 
+  13.1 

191.2 
212.9 
+  11.3 

20,447 
22,566 
+  10.4 

419.2 
455.6 

+8.7 

61,646 
67,608 

+9.7 

1,264.0 

1,365.0 

+8.0 

124,127 

131,855 

+6.2 

2,545.1 

2,662,1 

+4,6 

27,875 

30,393 

+9,0 

571.5 
613.6 

+7.4 

13,029 

13,677 

+  5.0 

48.8 
50,4 

+  3,3 

62,181 
68,871 
+  10.8 

232.9 
253.7 
+8.9 

118,173 

132,372 

+  12.0 

442.5 
487.6 
+  10.2 

449,184 

448,737 

-.1 

1,682.2 
1,653,0 

-1,7 

1.042.038 

1.050.924 

+.9 

3,902.4 

3.871.2 

-.8 

205,537 

213,981 

+4,1 

769.7 
788.2 

+2.4 

1,019 
1,058 
+3.8 

43.3 
44.6 
+3.0 

2.661 
3.217 
+20.9 

113.2 
135.6 
+  19.8 

8.590 
9,533 
+  11.0 

365,4 
401.9 
+  10.0 

28,464 
29,093 

+2.2 

1,210.9 

1.226.5 

+  1.3 

66.630 

71,487 

+7.3 

2,834.4 

3,013,8 

+6.3 

6,803 
8,097 
+  19,0 

289.4 
341.4 
+  18.0 

1,781 
1,738 

-2.4 

42.2 
40.9 
-3.1 

11.387 
11,860 

+4.2 

269.8 
278.9 

+3,4 

24,022 
26,120 

+8.7 

569.2 
614.3 

+7.9 

60.677 

60.017 

-1.1 

1.437,9 

1,411.5 

-1.8 

149,752 

148,334 

-.9 

3,548.6 

3,488.6 

-1.7 

25,393 

24,381 

-4,0 

601.7 
573.4 

-4,7 

1.479 
1.615 

+9.2 

47.0 
50.9 

+8.3 

3.836 
4.094 

+6.7 

121.9 
128.9 

+5.7 

11.654 

12,594 

+8.1 

370.5 
396.7 

+71 

45.531 
46.934 

+3.1 

1.447.5 

1.478.2 

+2.1 

94,432 
96.842 

+2.6 

3,002,0 

3,050,1 

+  1.6 

18,926 

17,673 

-6,6 

601.7 
556.6 

-75 

8,750 
9,266 

+5.9 

51.5 
53.4 

+3.7 

44,297 
49,700 

+  12.2 

260.8 
286.5 
+9.9 

73,907 
84,125 
+  13.8 

435.1 
484.9 
+  11.4 

314.512 

312,693 

-.6 

1,851,5 
1,802,4 

-2.7 

731,224 
734,261 

+,4 

4,304,7 

4,232,3 

-1,7 

154,415 

163,830 

+6,1 

909.0 
944.3 
+3.9 

65 


Table  4. — Index  of  Crime:  Region,  Geographic  Div 

ision,  and 

State,  1990-1991— 

Continued 

Area 

Year 

Population' 

Crime  Index  total 

Modified  Crime 
Index  total- 

Violent  crime^ 

Property  cnme' 

Murder  and  non- 
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 

West  

1990 
1991 

52,786,082 
54.060,000 

3.380,731 

3,501,900 

+3.6 

6.404.6 

6,477.8 

+1.1 

426.454 

454,688 

+4.6 

807.9 
841.1 
+4.1 

2.954,277 

3,047,212 

+3.1 

5,596.7 
5,636.7 

+.7 

4,801 
5,202 
+8.4 

9  1 

Percent  change  

9.6 

+5.5 

1990 
1991 

13,658,776 
14,035,000 

856.148 
859,620 

+.5 

6,268.1 
6,124.8 

-2.3 

70,590 

76,304 

+8.1 

516.8 
543.7 

+5.2 

785.558 

783.316 

-.3 

5,751.3 

5,581.2 

-3.0 

817 

912 

+  11.6 

60 

Percent  change  

6.5 
+8.3 

Arizona                          

1990 
1991 

3.665,228 
3,750,000 

289.140 

277.711 

-4.0 

7,888.7 

7.405.6 

-6.1 

23,911 

25,152 

+5.2 

652.4 
670.7 
+2.8 

265,229 

252,559 

-4.8 

7,236.4 

6,734.9 

-6.9 

284 
291 

+2.5 

7  7 

Percent  change  

7.8 
+  1.3 

1990 
1991 

3.294.394 
3,377,000 

199.434 

205.122 

+2.9 

6,053.7 
6,074.1 

+.3 

17,328 

18,887 

+9.0 

526.0 
559.3 
+6.3 

182,106 
186,235 

+2.3 

5,527.8 
5,514.8 

-.2 

138 
199 

+44.2 

4.2 

Percent  change  

5.9 
+40.5 

Idaho  

1990 
1991 

1.006.749 
1.039.000 

40,845 
43,594 

+6.7 

4.057.1 

4,195.8 

+3.4 

2,776 
3,016 
+8.6 

275.7 
290.3 
+5.3 

38.069 

40,578 

+6.6 

3,781.4 

3,905.5 

+3.3 

27 

19 

-29.6 

2  7 

Percent  change  

1.8 
-33.3 

1990 
1991 

799.065 
808.000 

35,975 
29,477 
-18.1 

4,502.1 

3,648.1 

-19.0 

1,273 
1.130 
-11.2 

1593 
1399 

-12.2 

34,702 
28,347 
-18.3 

4,342.8 

3,508.3 

-19.2 

39 

21 

-46.2 

49 

Percent  change  

2.6 
-46.9 

Nevada     

1990 
1991 

1.201,833 
1.284.000 

72,874 
80,876 
+  11.0 

6,063.6 

6.298.8 

+3.9 

7,222 
8,693 
+20.4 

600.9 
677.0 
+  12.7 

65,652 

72.183 

+9.9 

5.462.7 

5.621.7 

+2.9 

116 

152 

+31.0 

97 

Percent  change  

11.8 
+21.6 

1990 
1991 

1,515,069 
1,548,000 

101,269 
103,396 

+2.1 

6,684.1 

6,679.3 

-.1 

11,821 

12.922 

+9.3 

780.2 
834.8 
+7.0 

89,448 

90,474 

+  1.1 

5,903.9 

5,844.6 

-1.0 

139 

163 

+  17.3 

92 

Percent  change  

10.5 
+  14.1 

Utah 

1990 
1991 

1,722.850 
1,770,000 

97,512 

99,255 

+  1.8 

5,659.9 

5.607.6 

-.9 

4.892 
5,077 
+3.8 

283.9 
286.8 
+  1.0 

92.620 
94.178 

+  1.7 

5,376.0 

5.320.8 

-1.0 

52 
52 

30 

Percent  change  

2.9 
-3.3 

1990 
1991 

453,588 
460,000 

19,099 
20,189 

+5.7 

4.210.6 
4,388.9 

+4.2 

1,367 
1,427 
+4.4 

301.4 
310.2 
+2.9 

17,732 

18,762 

+5.8 

3,909.3 

4,078.7 

+4.3 

22 

15 

-31.8 

49 

3.3 

-32.7 

Pacific  

1990 
1991 

39,127,306 
40,025,000 

2,524,583 
2,642,280 

+4.7 

6,452.2 
6,601.6 

+2.3 

355,864 

378,384 

+6.3 

909.5 
945.4 
+3.9 

2,168,719 
2.263.896 

+4.4 

5,542.7 

5,656.2 

+2.0 

3,984 
4,290 

+7.7 

10.2 

Percent  change  

10.7 
+4.9 

Alaska     

1990 
1991 

550,043 
570,000 

28,342 
32,499 

+  14.7 

5,152.7 

5,701.6 

+  10.7 

2,885 
3,499 
+21.3 

524.5 
613.9 
+  17.0 

25.457 
29.000 
+  13.9 

4,628.2 

5,087.7 

+9.9 

41 

42 

+2.4 

7.5 

Percent  change  

7.4 
-1.3 

California  

1990 
1991 

29,760,021 
30,380,000 

1,965,237 
2,057,513 

+4.7 

6,603.6 

6,772,6 

+2.6 

311.051 
331,122 

+6.5 

1.045.2 
1.089.9 

+4.3 

1,654,186 

1,726,391 

+4.4 

5,558.4 
5,682.7 

+2.2 

3,553 
3,859 
+8.6 

11.9 

Percent  change  

12.7 
+6.7 

Hawaii .. 

1990 
1991 

1,108.229 
1,135.000 

67,676 
67,764 

+.1 

6,106.7 
5,970.4 

3.113 

2,744 
-11.9 

280.9 
241.8 
-13.9 

64,563 
65,020 

+.7 

5,825.8 

5,728.6 

-1.7 

44 

45 

+2.3 

4.0 

Percent  change  

4.0 

Oregon        

1990 
1991 

2,842.321 
2.922.000 

160,478 
168.165 

+4.8 

5.646.0 

5.755.1 

+  1.9 

14,405 
14,795 

+2.7 

506.8 

506.3 

-.1 

146,073 

153,370 

+5.0 

5,139.2 

5,248.8 

+2.1 

108 

133 

+23.1 

3.8 

Percent  change  

4.6 
+21.1 

Washington  

1990 
1991 

4.866.692 
5,018.000 

302.850 
316,339 

+4.5 

6.222.9 

6,304.1 

+  1.3 

24.410 

26,224 

+7.4 

501.6 
522.6 
+4.2 

278.440 
290,115 

+4.2 

5,721.3 

5,781.5 

+  1.1 

238 

211 

-11.3 

4.9 

4.2 

-143 

Puerto  Rico'  

1990 
1991 

3,522,037 

124.371 
119,731 

-3.7 

3,531.2 

29,912 

28.145 

-5.9 

849.3 

94,459 

91.586 

-3.0 

2.681.9 

600 

817 
+36.2 

17.0 

Percent  change  

'Populations  are  Bureau  of  the  Census  provisional  estimates  as  of  July   I.   N91   and  are  subject  to  change;   1990  are  decennial  census  counts. 

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

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

'Forcible  rape  figures  furnished  by  the  state-level  Uniform  Crime  Reporting  (UCR)  Program  administered  by  the  Illinois  Department  of  Slate  Police  were  not  in  accordance  with  national 
UCR  guidelines.  The  1990  and  1991  forcible  rape  totals  for  Illinois  were  estimated  using  the  national  rate  of  forcible  rapes  when  grouped  by  like  agencies.  See  "OfTense  Estimation,"  page  377  for 
details- 

'Data  for  1991  were  not  available  for  the  Stale  of  Iowa;  therefore,  it  was  necessary  that  their  crime  counts  be  estimated    See  "Offense  Estimation."  page  377  for  details. 

'Includes  offenses  reported  by  the  Zoological  Police, 

The  1991   Bureau  of  Census  population  estimate  for  Puerto  Rico  was  not  available  prior  to  publication;  therefore,  no  population  or  rates  per  100.000  inhabitants  are  provided. 

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


66 


Table  4. — Index  of  Crime:  Region,  Geographic  Division,  and  State,  1990-1991 — Continued 


Forcible  rape 

Robber\ 

Aggravated 
assault 

Burglary 

Larceny-theft 

Motor  vehicle  theft 

Arson- 

Number 

Rate  per 
100.000 

Number 

Rate  per 
100,000 

Number 

Rate  per 
100,000 

Number 

Rate  per 
100,000 

Number 

Rate  per 
100.000 

Number 

Rate  per 
100,000 

Number 

Rate  per 

100.000 

23,673 

25.108 

+6.1 

44.8 
46.4 
+3.6 

138.937 

155,397 

+11.8 

263.2 
287.5 
+9.2 

259,043 

268,981 

+3.8 

490.7 
497.6 
+1.4 

688,347 

715.573 

+4.0 

1.304.0 

1.323.7 

+1.5 

1,855,237 

1,904,075 

+2.6 

3,514.6 

3,522.2 

+.2 

410.693 

427.564 
+4.1 

778.0 
790.9 

+1.7 

5.777 
6.724 

+7.7 

423 
44,3 

+4,7 

14,866 

17,137 
+  15.3 

108,8 

122,1 
+  12,2 

49.130 

52.031 

+5.9 

359,7 
370,7 
+  3.1 

175,692 
174,965 

-,4 

1.286,3 

1,246.6 

-3.1 

543,508 

539,426 

-,8 

3.979,2 

3,843,4 

-3,4 

66.358 

68,925 

+3.9 

485,8 
491,1 
+  1,1 

1.500 
1.5W 
+60 

40,9 

42,4 
+  3,7 

5.897 
6,215 

+  5,4 

160.9 
165.7 
+3,0 

16,230 
17,056 

+  5.1 

442,8 
454,8 

+2,7 

61.206 

60,281 

-1,5 

1,669,9 

1,607,5 

-3,7 

172,375 
159.987 

-7,2 

4,703,0 

4,266,3 

-9,3 

31,648 

32,291 

+2,0 

863,5 

861,1 

-3 

1,521 
1.588 
+4.4 

46,2 
47,0 

+  1,7 

2.985 
3.628 
+21,5 

90,6 
107,4 
+  18,5 

12,684 

13,472 

+6,2 

385,0 
398,9 
+3,6 

39,822 

39,117 

-1,8 

1,208,8 
1,158,3 

-4,2 

128.172 

132.717 

+3,5 

3.8906 

3,930,0 

+  1,0 

14,112 

14,401 

+2,0 

428,4 

426,4 

-,5 

275 

300 

+9.1 

27,3 
28,9 

+5,9 

151 

215 

+42,4 

15.0 

20.7 

+38,0 

2,323 
2,482 
+6,8 

230,7 
238,9 
+3,6 

8,187 
8.582 

+4,8 

813.2 
826.0 
+  1.6 

28.216 

30.143 

+6,8 

2,802.7 
2,901,2 

+3,5 

1,666 
1,853 
+  11,2 

165,5 
178,3 

+  7,7 

195 

160 

-17. g 

24,4 

19,8 

-18,9 

173 

150 

-13,3 

21,7 

18,6 

-14.3 

866 
799 

-7,7 

108,4 
98,9 
-8,9 

5.666 
4.231 
-25,3 

709,1 
523.6 
-26,2 

27.098 
22,449 
-17,2 

3.391,2 

2.778,3 

-18.1 

1.938 
1.667 
-14,0 

242,5 
206,3 
-14,9 

748 

848 

+  13.4 

62,2 
66.0 

+6,1 

2,864 
4,012 
+40,1 

238,3 
312,5 
+31,1 

3,494 
3.681 

+  5,4 

290.7 
286.7 
-1,4 

16,434 
18,026 

+9.7 

1,367,4 
1,403,9 

+2,7 

42,097 
45.781 

+8,8 

3.502.7 

3.565,5 

+  1,8 

7.121 
8,376 
+  17.6 

592,5 
652,3 
+  10,1 

753 
Sll 

+  7.7 

49,7 
52,4 

+5,4 

1,744 
1.862 
+6,8 

115,1 
120.3 

+4,5 

9,185 

10,086 

+9,8 

606,2 
651,6 

+7,5 

26.343 
26.672 

+  1,2 

1.738,7 

1.723,0 

-.9 

58,004 

58,441 

+.8 

3,828,5 

3.775,3 

-1,4 

5,101 
5.361 
+5,1 

336,7 
346.3 
+2.9 

651 

808 

+24.1 

37,8 

45,6 

+20,6 

980 
976 
-,4 

56,9 
55,1 

-3,2 

3.209 
3.241 
+  1,0 

186,3 
183,1 

-1,7 

15,172 

14,872 

-2,0 

880,6 
840,2 
-4,6 

73,352 
75,041 

+2,3 

4,257,6 

4,239,6 

-4 

4,096 
4,265 
+4.1 

237.7 
241.0 
+  1,4 

134 

119 

-11.2 

29,5 

259 

-122 

72 
79 

+9,7 

15,9 

17,2 
+8,2 

1,139 
1.214 
+6,6 

251,1 
263,9 
+  5  1 

2,862 
3.184 
+  11,3 

631,0 
692,2 

+9,7 

14,194 
14,867 

+4,7 

3.129,3 
3.232,0 

+  3,3 

676 
711 

+5,2 

149,0 
154,6 
+3,8 

P. 896 

18,884 

+5,5 

45,7 
47,2 
+3,3 

124,071 

138,260 

+  11,4 

317,1 
345,4 
+8,9 

209.913 

216,950 

+3,4 

536,5 
542,0 
+  1,0 

512,655 
540,608 

+5,5 

1.310,2 

1,350,7 

+3,1 

1,311,729 

1.364,649 

+4,0 

3,352,5 
3,409,5 

+  1,7 

344,335 
358,639 

+4,2 

880,0 
896,0 
+  1,8 

401 

523 

+30.4 

72,9 
91,8 

+25-9 

422 
645 

+52,8 

76,7 
113,2 

+47.6 

2,021 
2,289 
+  13,3 

367,4 
401,6 
+9,3 

4.919 
5.582 
+  13,5 

894.3 
979.3 

+9,5 

17.428 
20,375 
+  16,9 

3,168,5 

3,574,6 

+  12,8 

3.110 
3.043 

-2  2 

565,4 
533,9 
-5,6 

12.688 

12.896 

+  1,6 

42.6 
42.4 
-.5 

112,208 

124.939 

+  11,3 

377,0 
411,3 

+9,1 

182,602 
189,428 

+  3,7 

613,6 
623,5 
+  1,6 

400.392 

424,656 

+6,1 

1,345,4 

1,397,8 

+3,9 

951.580 

986,120 

+3,6 

3,197,5 

3,246,0 

+  1.5 

302,214 
315,615 

+4.4 

1.015,5 
1.038,9 

+2,3 

360 

375 
+4,2 

32.5 
33.0 
+  1.5 

1.013 
986 

-2,7 

91,4 
86,9 
-4,9 

1.696 
1,338 
-21,1 

153,0 
117,9 
-22,9 

13,611 

14,011 

+2,9 

1,228.2 
1,234.4 

+.5 

46,735 

47,195 

+  1.0 

4,217.1 

4,158,1 

-1,4 

4,217 
3,814 
-9,6 

380.5 
336.0 
-11.7 

1,332 
1.561 

+  17,2 

46.9 

53,4 

+  13,9 

4,102 

4,387 
+6,9 

144,3 
150.1 

+4,0 

8.863 
8,714 
-1,7 

311,8 
298,2 
-4,4 

32,273 

34,363 

+6,5 

1.135,4 

1,176,0 

+3,6 

100.765 

105.145 

+4,3 

3,545,2 
3.598,4 

+  1,5 

13,035 

1.1.862 

+6,3 

458,6 
474,4 
+3.4 

3.115 
3.529 
+  13,3 

64,0 
70,3 
+9,8 

6,326 
7.303 
+  15,4 

130,0 

145,5 
+  11,9 

14,731 

15.181 

+3,1 

302,7 

302.5 

-1 

61,460 
61,996 

+,9 

1,262,9 

1,235.5 

-2,2 

195,221 

205,814 

+5,4 

4,011,4 
4,101,5 

+2,2 

21.759 
22,305 

+2,5 

447,1 

444,5 

-6 

426 
424 

-5 

12.1 

20,293 

20.003 

-1,4 

594,1 

7,963 
6,901 
-13  3 

226,1 

34,781 

33.649 

-3.3 

987,5 

39,795 
38,916 

-2.2 

1,129,9 

19,883 

19.021 

-4,3 

564,5 

67 


Table  5.— Index  of  Crime,  State,  1991 


Population 


Crime 
Index 
total 


Modified 
Crime 
Index 
total' 


Violent 
cinme' 


Property 
crime' 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
ttieft 


Motor 
vehicle 
thel^ 


ALABAMA 

Metropolitan  Statistical 

Area    

Area  actually  reporting  . . . 

Estimated  totals    

Cities  outside  metropolitan  areas 

Area  actually  reporting  . . . 

Estimated  totals    

Rural   

Area  actually  reporting  . . . 

Estimated  totals    

Stale  Total    

Rate  per  100.000 
inhabitants  

ALASKA 

Metropolitan  Statistical 
Area    

Area  actually  reporting  . . . 
Cities  outside  metropolitan  areas 

Area  actually  reporting  . . . 

Estimated  totals    

Rural   

Area  actually  reporting  . . . 
Stale  Total    

Rate  per  100,000 
inhabitants  

ARIZONA 

Metropolitan  Statistical 
Area    

Area  actually  reporting  . . . 
Cities  outside  metropolitan  areas 

Area  actually  reporting  . . . 

Estimated  totals    

Rural  

Area  actually  reporting  . . . 

Estimated  totals    

State  Total    

Rate  per  100,000 
inhabitants  

ARKANSAS 

Metropolitan  Statistical 
Area    

Area  actually  reporting  ... 
Cities  outside  metropolitan  areas 

Area  actually  reporting  . . . 

Estimated  totals    

Rural   

Area  actually  reporting  . . . 
State  Total    

Rate  per  100,000 
inhabitants 

CALIFORNIA 

Metropolitan  Statistical 
Area    

Area  actually  reporting  ... 

Estimated  totals    

Cities  outside  metropolitan  areas 

Area  actually  reporting  . . . 

Estimated  totals    

Rural    

Area  actually  reporting  ... 
Slate  Total    

Rate  per  100.000 

inhabitants  

See  footnotes  at  end  of  table. 


2,756,875 

94.4% 

175,490 

100.0% 

180,576 

557,897 

93.6% 

26,558 

100.0% 

28,363 

774,228 

85.1% 

8,906 

100.0% 

10,461 

4.089,000 

219,400 

5,365.6 


234,571 

100.0% 

15,686 

148.677 

81.1% 

7,627 

100.0% 

9,401 

186.752 

100.0% 

7,412 

570,000 

32,499 

5,701.6 


2,853,517 

100.0% 

234,663 

483.956 

95.4% 

32,444 

100.0% 

34,021 

412,527 

87.2% 

7,873 

100.0% 

9,027 

3,750,000 

277,711 

7,405.6 


951,102 

100.0% 

75.669 

561,842 

99.3% 

33,625 

100.0% 

33,858 

859,056 

100.0% 

13,222 

2,372,000 

122,749 

5,174.9 


29,087,107 

99.9% 

2.001,699 

100.0% 

2,001,776 

542,460 

99.7% 

33.471 

100.0% 

33,586 

750,433 

100.0% 

22,151 

30,380.000 

2.057,513 

6,772.6 


27,642 
28,318 

4,406 
4,706 

1,272 

1,494 

34.518 

844.2 


1,669 


802 
989 


841 
3.499 


613.9 


21,449 

2,611 
2,738 

842 

965 

25.152 

670.7 


9,945 


3,004 
3,024 


1,103 
14.072 


593.3 


325.181 
325,191 

3,260 
3,271 

2,660 
331.122 

1,089.9 


147.848 
152,258 

22,152 
23,657 

7,634 

8,967 

184.882 

4,521.4 


14,017 


6.825 
8,412 


6,571 
29.000 


5,087.7 


213.214 

29,833 
31,283 

7,031 

8,062 

252.559 

6,734.9 


65,724 

30,621 
30,834 

12,119 
108.677 

4,581.7 


1,676,518 
1,676,585 


30,211 
30,315 


19,491 
1.726.391 


367 
376 

38 
41 

44 

52 

469 

11.5 


25 


7.4 


247 

22 
23 

18 

21 

291 


1.36 


70 
264 


5.682.7 


3,783 
3,783 


51 
3.859 


12.7 


1,155 
1,191 

141 
151 

96 

113 

1.455 

35.6 


264 


94 
116 


143 
523 


91.8 


1,329 

128 
134 

111 

127 

1,590 

42.4 


703 

212 
213 

142 
1,058 

44.6 


12.435 

12,435 


219 


242 
12.896 


42.4 


5,618 
5,714 

407 
435 

83 

97 

6.246 

152,8 


542 


29 
645 


113.2 


5,804 

332 
348 

55 

63 

6.215 

165.7 


2,550 

578 
582 

85 
3.217 

135.6 


124,185 
124,189 

575 

577 

173 
124.939 

411.3 


20,502 
21,037 

3,820 
4,079 

1,049 

1,232 

26,348 

644.4 


838 


644 

794 


657 
2.289 


401.6 


14,069 

2,129 
2,233 

658 

754 

17.056 

454.8 


6,556 

2,156 
2,171 

806 
9.533 

401.9 


184,778 
184,784 

2,442 
2,450 

2,194 
189.428 

623.5 


40,399 

41,787 

5,413 
5,781 

3,665 

4,305 

51.873 

1,268.6 


2,489 

1,035 
1,276 

1,817 
5,582 

979.3 


50,625 

5,856 
6,141 

3,066 

3,515 

60.281 

1,607.5 


16,649 

7,891 
7,946 

4,498 
29.093 

1,226.5 


409,700 
409,716 

7,233 
7,258 

7,682 
424.656 

1,397.8 


94,373 
97,072 

15,891 
16,970 

3,498 

4,109 

118.151 

2,889.5 


9,967 

5,049 
6,223 

4,185 
20,375 

3,574.6 


132,851 

22,158 
23,235 

3,402 

3,901 

159,987 

4,266.3 


43,466 

21,122 
21,269 

6,752 
71.487 

3,013.8 


954.386 
954.426 

20,923 
20,995 

10,699 
986.120 

3,246.0 


13,076 
13,399 

848 
906 

471 

553 

14,858 

363.4 


1,561 

741 
913 

569 
3,043 

533.9 


29,738 

1,819 
1,907 

563 

646 

32.291 

861.1 


5,609 


1,608 
1,619 


869 
8.097 


341.4 


312,432 
312.443 

2,055 
2,062 

1,110 
315.615 

1,038.9 


68 


Table  5. — Index  of  Crime,  State,  1991 — Continued 


Population 


Crime 
Index 
total 


Modified 
Cnme 
Index 
total' 


Violent 
cnmc-' 


Property 

cnme^ 


Murder 
and  non- 
negligenl 

man- 
slaughter 


Forcible 
rape 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
ihefl 


Motor 
vehicle 
then 


COLORADO 

Metropolitan  Statistical 

Area    

Area  actually  reporting  ... 

Cities  outside  metropolitan  areas 

Area  actually  reporting  ... 

^ural   ■- 

Area  actually  reporting  ... 

>late  Total    

Rate  per  100.000 
inhabitants  

CONNECTICUT 

vletropolitan  Statistical 
Area    

Area  actually  reporting  ... 
rities  outside  metropolitan  areas 

Area  actually  reporting  . . . 
<urai   

Area  actually  reporting  ... 
State  Total    

Rate  per  100,000 
inhabitants  

DELAWARE 

vletropolitan  Statistical 

Area    

Area  actually  reporting  ... 
Titles  outside  metropolitan  areas 

Area  actually  reporting   

Estimated  totals    

Rural   

Area  actually  reporting  .... 

State  Total    

Rate  per  100.000 
inhabitants  

DISTRICT  OF  COLUMBIA* 

Metropolitan  Statistical 

Area    

Area  actually  reporting   

Cities  outside  metropolitan  areas 

Rural   

State  Total    

Rale  per  100.000 
mhabitanls  

FLORIDA 

Metropolitan  Statistical 

Area    

Area  actually  reporting  

Estimated  totals    

Cities  outside  metropolitan  areas 

-Area  actually  reporting  

Estimated  totals    

Rural   

Area  actually  reporting  

Estimated  totals    

Stote  Totol    

Rate  per  100.000 
inhabitants  

See  footnotes  at  end  of  table. 


2.746,232 
100.0% 
291.486 
100.0% 
339,282 
100.0% 
3,377,000 


3.011,961 

100.0% 

169,323 

90.420 

100.0% 

3,620 

188.619 

100.0% 

3.588 

3,291,000 

176,531 

451.139 

100.0% 

27,717 

74.723 

97.8% 

6,521 

100.0% 

6,666 

154.138 

100.0% 

5,529 

680,000 

39,912 

598,000 
100.0% 
NONE 
NONE 

598,000 


12.058.631 

99.9% 

1.072.558 

100.0% 

1,073,854 

303.623 

95.7% 

22,881 

100.0% 

23,909 

914.746 

99,1% 

36,711 

100,0% 

37,0.50 

13,277,000 

1,134,813 

174,619 
20.421 


10,082 
205,122 


6,074.1 


5.364.1 


5.869.4 

64,393 

64,393 

10,768.1 


8,547.2 


17.266 

1.006 

615 
18,887 

559.3 

17.124 

132 

505 
17,761 

5.39.7 

3.197 

665 
680 

980 
4,857 

714.3 

14.671 

14,671 

2,453.3 


148.922 
149,064 

3,047 
3,184 

4,949 

4.995 

157,243 

1.184.3 


157,353 
19,415 


9,467 
186,235 


5.514.8 


152.199 

3,488 

3,083 
158,770 

4,824.4 


24.520 

5.856 
5,986 

4,549 
35,055 

5,155.1 

49.722 

49,722 

8.314.7 


923.636 
924.790 

19,834 
20,725 

31,762 

32,055 

977,570 

7,362.9 


177 
9 


13 
199 


5.9 


181 


5 
187 


5.7 


482 

482 

80.6 


1.142 
1.143 

27 
28 

76 

77 

1,248 

9.4 


1,480 
69 


39 
1,588 


47.0 


911 
11 


38 
960 


29.2 


63 

64 

151 
588 

86.5 

214 

214 

35.8 


6.366 
6,371 

113 
118 

373 

376 

6,865 

51.7 


3.516 

90 

22 
3,628 

107.4 


12,093 
838 


541 
13,472 


398.9 


7.322 

8,710 

27 

93 

35 

427 

7,384 

9,230 

224.4 

280.5 

1.199 

1.600 

165 

435 

169 

445 

92 

727 

1,460 

2,772 

214.7 

407.6 

7,269 

6.706 

7,269 

6,706 

1,215.6 

1.121.4 

51.744 

89.670 

51.792 

89,758 

636 

2,271 

665 

2,373 

620 

3,880 

626 

3,916 

53,083 

96,047 

399.8 

723.4 

34.040 
2.886 


2,191 
39,117 


1,158,3 


37,204 

824 

1,170 
39,198 

1,191.1 


5.182 

995 
1,017 

1,469 
7,668 

1.127.6 


1 2.405 

12,405 

2,074.4 


248,888 
249,172 

4,986 
5,210 

11,822 

11,931 

266,313 

2.005.8 


110,234 

15,756 

6,727 
132,717 

3,930.0 

89,323 

2.449 

1.612 
93,384 

2.837.6 

17,212 

4,649 
4,752 

2,872 
24,836 

3,652.4 

29,182 

29,182 

4,879.9 


574,309 
575.071 

13.598 
14,209 

17,778 

17.942 

607,222 

4.573.51 


13,079 

773 

549 
14,401 

426.4 


25.672 

215 

301 
26,188 

795.7 

2.126 

212 
217 

208 
2,551 

375.1 

8,135 

8,135 

1,360.4 


100.439 

100.547 

1.250 
1.306 

2.162 

2.182 

104,035 

783.6 


69 


Table  5.— Index  of  Crime,  State,  1991— Continued 


Population 


Crime 
Index 
tolal 


Modified 
Crime 
Index 
total' 


Violent 
crime- 


Property 
crime^ 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
then 


GEORGIA 

Metropolitan  Statistical 
Area    

Area  actually  reporting  ... 

Estimated  totals    

Cities  outside  metropolitan  areas 

Area  actually  reporting  ... 

Estimated  totals    

Rural  

Area  actually  reporting  ... 

Estimated  totals    

State  Total    

Rate  per  100,000 
inhabitants  

HAWAII 

Metropolitan  Statistical 
Area    

Area  actually  reporting  . . . 
Cities  outside  metropolitan  areas 

Area  actually  reporting  . . . 
Rural   

Area  actually  reporting  . . . 
State  Total    

Rate  per  100.000 
inhabitants  

IDAHO 

Metropolitan  Statistical 

Area    

Area  actually  reporting  . . . 
Cities  outside  metropolitan  areas 

Area  actually  reporting  . . . 

Estimated  totals    

Rural  

Area  actually  reporting  . . . 

Estimated  totals    

Stale  Total    

Rate  per  100,000 
inhabitants  

ILLINOIS' 

Metropolitan  Statistical 
Area    

Area  actually  reporting  . . . 

Estimated  totals    

Cities  outside  metropolitan  areas 

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    

Cities  outside  metropolitan  areas 

Area  actually  reporting  ... 

Estimated  totals    

Rural  

Area  actually  reporting  . . . 

Estimated  totals    

Stale  Total    

Rate  per  100,000 

inhabitants  

See  footnotes  at  end  of  table. 


4.306,716 

98.8% 

333,424 

100.0% 

336,699 

856,693 

94.1% 

53,666 

100.0% 

57,054 

1,459,591 

97.1% 

35,259 

100.0% 

36,306 

6.623.000 

430,059 

9,506,066 

99.9% 

100.0% 

1,054,740 

96.7% 

100.0% 

982,194 

1 00.0% 

11,543,000 


6,493.4 


856,432 

100.0% 

51,032 

37,949 

100.0% 

3,014 

240,619 

100.0% 

13,718 

1,135,000 

67,764 

5,970.4 


212,418 

100.0% 

9,702 

403,364 

99.9% 

24,653 

100.0% 

24,680 

423,218 

98.2% 

9,049 

100.0% 

9,212 

1,039,000 

43,594 

4,195.8 


707,823 

6.132,1 


3,841.536 

82.6% 

188,020 

100.0% 

215,085 

623.109 

73.9% 

24,654 

100.0% 

33,377 

1.145,355 

40.2% 

8,763 

100.0% 

21,817 

5.610,000 

270,279 

37,106 
37,358 

6,535 
6,947 

4,456 

4,589 

48,894 

738.2 


2,058 
114 


572 
2,744 


241.8 


639 

1,699 
1,701 

664 

676 

3.016 

290.3 


4,817,8 


119.955 

1,039.2 


21,044 
22,944 

1,889 

2,557 

1,144 
2,848 
28.349 

505.3 


296,318 
299,341 

47,131 
50,107 

30,803 

31,717 

381,165 

5,755.2 


48,974 

2,900 

13,146 
65,020 

5,728.6 


9,063 

22,954 
22,979 

8,385 

8,5.36 

40,578 

3,905.5 


531,726 
532.355 


40,669 
42,052 


13,461 
587.868 


5,092.9 


166,976 
192,141 

22,765 
30,820 

7,619 

18,969 

241,930 

4,312.5 


600 
603 

113 
120 

122 
126 
849 

12.8 


4.0 


6 
6 

10 
10 
19 

1.8 


1,266 
1,266 


23 

II 
1,300 

11.3 


290 
311 

15 
20 

37 

92 

423 

7.5 


2,127 
2,144 

337 
358 

289 

298 

2,800 

42.3 


275 
16 


84 
375 


33.0 


140 
140 

76 

77 

300 

28.9 


4,615 

40.0 


1,703 


104 
141 

116 

289 

2,318 

41.3 


15,597 
15,703 

1,432 
1,522 

522 

537 

17,762 

268.2 


860 
29 


97 
986 


86.9 


63 

118 
118 

33 

34 

215 

20.7 


52.064 
52,081 

490 
507 

65 
52,653 

456.1 


5,648 
6,001 

274 
371 

54 

134 

6,506 

116.0 


18,782 
18,908 

4,653 
4,947 

3,523 

3,628 

27,483 

415.0 


894 

68 

376 
1,338 

117.9 


490 

1.435 
1,437 

545 

555 

2,482 

238.9 


58,742 
58,771 

1,988 
2,056 

560 
61,387 

531.8 


13,403 
14,744 

1,496 
2,025 

937 
2.333 
19.102 

340.5 


74,572 
75,321 

12,114 
12,879 

11,768 

12,117 

100,317 

1,514.7 


9,905 
692 


3.414 
14,011 


1,234.4 


1,791 

3,773 
3,777 

2,961 
3,014 
8,582 

826.0 


115.747 
115,866 

8,207 
8,486 

4,932 
129,284 

1,120.0 


37,450 
42,822 

4,332 
5,865 

2,461 

6,127 

54,814 

977.1 


186,705 
188,663 

32,565 
34,621 

16,583 

17,075 

240,359 

3,629.2 


36,019 

2,068 

9,108 
47,195 

4,158.1 


6,839 

18,257 
18,277 

4,938 

5,027 

30,143 

2,901.2 


342,407 
342,857 

31,089 
32,146 

7,939 
382,942 

3,317.5 


108,704 
126,370 

17,368 
23,513 

4,481 

11,156 

161,039 

2,870.6 


70 


Table  5.— Index  of  Crime,  Stale,  1991— Continued 


Population 


Cnme 
Index 
total 


Modified 
Crime 
Index 
total 


Violent 
cnme- 


Propenv 
cnme' 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Aggra- 
vated 
assault 


Burglar\ 


Larceny- 
thcfl 


Motor 
vehicle 
theft 


IOWA' 

Metropolitan  Statistical 
Area    

Estimated  totals    

Cities  outside  metropolitan  areas 

Estimated  totals    

Rural   ..; 

Estimated  totals    

Stale  Total    

Rate  per  100,000 
inhabitants 

KANSAS 
Metropolitan  Statistical 

Area    

Area  actually  reporting  ... 

Estimated  totals    

Cities  outside  metropolitan  areas 
Area  actually  reporting  . . . 

Estimated  totals    

Rural   

Area  actually  reporting  ... 

Estimated  totals    

State  Total    

Rate  per  100,000 
inhabitants  

KENTUCKY 

Metropolitan  Statistical 
Area    

Area  actually  reporting  . . . 

Estimated  totals    

Cities  outside  metropolitan  areas 

Area  actually  reporting  . . . 

Estimated  totals    

Rural   

Area  actually  reporting  ... 

Estimated  totals    

State  Total    

Rate  per  100,000 
inhabitants  

LOUISIANA 

Metropolitan  Statistical 

Area    

Area  actually  reporting  . . . 

Estimated  totals    

Cities  outside  metropolitan  areas 

Area  actually  reporting  ... 

Estimated  totals    

Rural  

Area  actually  reporting  ... 

Estimated  totals    

Stale  Total    

Rate  per  100,000 
inhabitants  

MAINE 

Metropolitan  Statistical 
Area    

Area  actually  reporting  . . . 
Cities  outside  metropolitan  areas 

Area  actually  reporting  ... 

Estimated  total    

Rural  

Area  actually  reporting  . . . 
Stale  Total    

Rate  per  100,000 

inhabitants  

See  rootnotes  at  end  of  table. 


1,230.892 
100.0% 
679,028 
100.0% 
885,080 
100.0% 
2.795,000 


72,854 
29,917 


12,775 
115,546 


4,1,14.0 


1.343.792 

99.6% 

93.957 

100.0% 

94.193 

690,647 

93.2% 

33.424 

100.0% 

35,864 

460,561 

98.9% 

7,935 

100.0% 

8,024 

2,495,000 

138,081 

5,534.3 


1,726,912 

99.9% 

80,035 

100.0% 

80.116 

595,795 

98.5% 

24.643 

100.0% 

25.029 

1,390,293 

99.0% 

19.354 

100.0% 

19.547 

3,713,000 

124,692 

3,358.3 


2,957,213 

92.9% 

217.191 

100.0% 

229,736 

435,085 

45.6% 

11,437 

100.0% 

25,077 

859,702 

55.2% 

10.139 

100.0% 

18,357 

4,252,000 

273,170 

6,424.5 


455.621 

100.0% 

21,737 

426,849 

99.3% 

17,113 

100.0% 

17,239 

352,530 

100.0% 

7,555 

1,235,000 

46,531 

3,767.7 


5,346 
2,195 


936 
8,477 


303.3 


9,407 
9,424 

2,267 
2,432 

602 

609 

12,465 

499.6 


9,351 
9,361 

3.237 
3,287 

3,578 
3,614 
16,262 

438.0 


31.796 
33,241 

1,523 
3,339 

2,131 

3.858 

40,438 

951.0 


924 


460 
463 


244 
1,631 


132.1 


67,508 

27,722 


11,839 
107,069 


3,830.7 


84,550 
84,769 

31,157 
33,432 

7,333 

7,415 

125,616 

5,034.7 


70,684 
70,755 

2 1 .406 
21.742 

15.776 

15.933 

108,430 

2,920.3 


185,395 
196,495 

9,914 
21.738 

8.008 

14,499 

232,732 

5,473.5 


20.813 


16,653 
16.776 


7,311 
44,900 


3,635.6 


2.0 


111 
111 

27 
29 

13 

13 

153 


98 
98 

26 
26 

128 
129 
253 

6.8 


626 
644 


30 

54 

720 

16.9 


368 
151 


64 
583 


20.9 


792 
794 

238 
255 

68 

69 

1,118 

44.8 


773 
773 

149 
151 

387 

391 

1.315 

35.4 


1,319 
1,401 

53 
116 

122 

221 

1,738 

40.9 


149 


44 
270 


21.9 


793 
325 


139 
1,257 


45.0 


3,181 
3,184 

233 
250 

19 

19 

3,453 

138.4 


2,605 
2,607 

307 
312 

163 

165 

3,084 

83.1 


10,989 
11,350 

136 
298 

117 

212 

11,860 

278,9 


213 


16 
280 


22.7 


4,149 
1,704 


727 
6,580 


235.4 


5.323 
5,335 

1.769 
1,898 

502 

508 

7,741 

310.3 


5,875 
5,883 

2,755 
2,798 

2,900 
2,929 
11,610 

312.7 


18,862 
19,846 

1,324 
2,903 

1.862 

.3,371 

26.120 

614.3 


553 


329 
331 


182 
1,066 


86.3 


14.670 
6,024 


2,573 
23,267 


832.5 


22.131 
22,175 

7,122 
7,642 

2,753 

2,784 

32,601 

1,306.7 


18.020 
18.036 

4,840 
4,916 

6,559 
6,624 
29,576 

796.6 


47,677 
50,317 

2,366 
5,188 

2,492 

4,512 

60,017 

1,411.5 


4,763 

3,098 
3,121 

3,262 
11.146 

902.5 


49,829 

20,462 

8,739 
79,030 

2,827.5 


55.187 
55,353 

22,976 
24,654 

4,204 

4,251 

84,258 

3,377.1 


47,548 
47,599 

15,185 
15,423 

7,785 

7.863 

70,885 

1,909.1 


115,426 
122,859 

7,313 
16,035 

5,214 

9.440 

148,334 

3,488.6 


15,042 


12,898 
12,993 


3.702 
31,737 


2,569.8 


3.009 
1,236 


527 
4,772 


170.7 


7.232 
7,241 

1,059 
1,136 

376 

380 

8,757 

351.0 


5,116 
5.120 

1,381 
1 ,403 

1,432 
1,446 
7,969 

214.6 


22,292 
23,319 

235 
515 

302 

547 

24,381 

573.4 


1.008 


657 
662 


347 
2.017 


163.3 


71 


Table  5.— Index  of  Crime,  State 

,  1991— Continued 

Area 

Population 

Crime 
Index 

total 

Modified 
Crime 
Index 
total' 

Violent 
cnme- 

Property 
cnme^ 

Murder 
and  non- 
negligent 
man- 

Forcible 
rape 

Robbery 

Aggra- 
vated 
assault 

Burglary 

Larceny- 
theft 

Motor 
vehicle 
theft 

Arson' 

slaughter 

MARYLAND 

Metropolitan  Statistical 

Area    

4,511,809 

Area  actually  reporting  

100.0% 

285,792 

44,395 

241.397 

548 

2,097 

19,493 

22,257 

52.361 

154.105 

34.931 

Cities  outside  metropolitan  areas  .. 

87,231 

Area  actually  reporting  

100.0% 

8,945 

1,006 

7.939 

5 

45 

184 

772 

1.699 

5,934 

306 

Rural  

260,960 

Area  actually  reporting  

100.0% 

7,031 

1.068 

5.963 

16 

87 

106 

859 

2.198 

3,485 

280 

State  Total                  

4,860,000 

301,768 

46,469 

255,299 

569 

2,229 

19,783 

23.888 

56,258 

163,524 

35,517 

Rate  per  100,000 

inhabitants  

6,209.2 

956.2 

5.253.1 

11.7 

45.9 

407.1 

491.5 

1,157.6 

3,364.7 

730.8 

MASSACHUSETTS 

Metropolitan  Statistical 

Area    

5,451,138 

Area  actually  reporting  

80.8% 

251,735 

36.473 

215.262 

227 

1,559 

10,563 

24,124 

54.241 

1 14,495 

46,526 

Estimated  totals    

100.0% 

292,313 

40.859 

251.454 

245 

1,726 

11,402 

27,486 

63.101 

135,506 

52,847 

Cities  outside  metropolitan  areas  .. 

532,718 

Area  actually  reporting  

56.2% 

14,990 

1.823 

13,167 

2 

112 

149 

1,560 

3,843 

8,082 

1,242 

Estimated  totals    

100.0% 

26,692 

3.246 

23,446 

4 

199 

265 

2,778 

6,843 

14,391 

2,212 

Rural  

12,144 

Area  actually  reporting  

100.0% 

123 

33 

90 

1 

2 

30 

33 

33 

24 

State  Total    

5,996,000 

319,128 

44,138 

274,990 

249 

1,926 

11,669 

30,294 

69,977 

149,930 

55,083 

Rate  per  100,000 

inhabitants  

5,322.3 

736.1 

4.586.2 

4.2 

32.1 

194.6 

505.2 

1.167.1 

2.500.5 

918.7 

MICHIGAN 

Metropolitan  Statistical 

Area    

7,508,176 

Area  actually  reporting  

97.9% 

501,288 

69.553 

431.735 

960 

5,848 

22,334 

40,41 1 

92,936 

278,333 

60,466 

Estimated  totals    

100.0% 

510,363 

70.332 

440.031 

965 

5,922 

22,519 

40,926 

94,339 

284.343 

61,349 

Cities  outside  metropolitan  areas  . . 

706,535 

Area  actually  reporting  

96.5% 

28,863 

1,682 

27,181 

9 

338 

145 

1,190 

4,296 

21.944 

941 

Estimated  totals    

100.0% 

29,906 

1.742 

28,164 

9 

350 

150 

1.233 

4,451 

22.738 

975 

Rural   

1,153,289 

Area  actually  reporting  

100.0% 

34,744 

3,158 

31,586 

35 

1,100 

121 

1,902 

12,336 

1 7,904 

1,346 

State  Total                

9,368,000 

575,013 

75,232 

499,781 

1,009 

7,372 

22,790 

44,061 

111,126 

324,985 

63,670 

Rate  per  100,000 

inhabitants  

6,138.1 

803.1 

5,335.0 

10.8 

78.7 

243.3 

470.3 

1,186.2 

3.469. 1 

679.7 

MINNESOTA 

Metropolitan  Statistical 

Area    

2,999,686 

Area  actually  reporting  

100.0% 

158.416 

12.524 

145,892 

105 

1,516 

4,262 

6,641 

29,030 

103.136 

13,726 

Cities  outside  metropolitan  areas  . . 

538,678 

Area  actually  reporting  

100.0% 

23,604 

783 

22.821 

14 

132 

59 

578 

3,248 

18.369 

1,204 

Rural  

893,636 

Area  actually  reporting  

100.0% 

17,254 

699 

16,555 

12 

114 

24 

549 

5,554 

9.825 

1,176 

Slate  Total    

4,432,000 

199,274 

14,006 

185,268 

131 

1,762 

4,345 

7,768 

37,832 

131,330 

16.106 

Rate  per  100,000 

inhabitants  

4,496.3 

316.0 

4,180.2 

3.0 

39.8 

98.0 

175.3 

853.6 

2.963.2 

363.4 

MISSISSIPPI 

Metropolitan  Statistical 

Area    

781.431 

Area  actually  reporting  

77.5% 

48,240 

4,308 

43,932 

112 

510 

1,860 

1,826 

15,306 

23.992 

4.634 

Estimated  totals    

100.0% 
672.291 

54,200 

4.878 

49.322 

125 

671 

1,987 

2,095 

17,738 

26,547 

5,037 

Cities  outside  metropolitan  areas  . . 

Area  actually  reporting  

68.4% 

28,938 

2.278 

26,660 

74 

188 

551 

1,465 

7.735 

17,743 

1,182 

Estimated  totals    

100.0% 
1.138.278 

33.2% 

42,286 
4,292 

3.329 
624 

38,957 
3.668 

108 

33 

275 
84 

805 

74 

2,141 
433 

11.303 
1,822 

25,927 
1,628 

1,727 
218 

Rural  

Area  actually  reporting  

Estimated  totals    

100.0% 
2,592,000 

12,916 
109,402 

1.878 
10,085 

11,038 
99,317 

99 
332 

253 
1,199 

223 
3.015 

1,303 
5,539 

5,483 
34,524 

4,899 
57,373 

656 
7,420 

State  Total    

Rate  per  100,000 

inhabitants  

4,220.8 

389.1 

3,831.7 

12.8 

46.3 

116.3 

213.7 

1,331.9 

2,213.5 

286.3 

Sec  footnotes  at  end  of  table. 

72 


Table  5.— Index  of  Crime,  State,  1991— Continued 


Area 

Population 

Crime 
Index 

total 

Modified 
Crime 
Index 

total' 

Violent 
crime' 

Property 
crime' 

Murder 
and  non- 
negligent 
man- 

Forcible 
rape 

Robbery 

Aggra- 
vated 
assault 

Burglar>' 

larceny- 
theft 

Motor 
vehicle 
theft 

Arson' 

slaughter 

MISSOURI 

Metropolitan  Statistical 

Area    

3,414,492 

Area  actually  reporting  

96.6% 

236,375 

35,512 

200,863 

471 

1.456 

12,566 

21,019 

53,284 

120,707 

26,872 

Estimated  totals 

100.0% 

240,812 

35,895 

204,917 

474 

1,483 

12,655 

21,283 

54,381 

123.334 

27,202 

Cities  outside  metropolitan  areas  .. 

490,539 

Area  actually  reporting  

85.8% 

20,200 

1,503 

18,697 

10 

122 

173 

1,198 

3,465 

14,462 

770 

Estimated  totals       

100.0% 

1,252,969 

63.4% 

23,539 
9,500 

1,752 
1,084 

21,787 
8,416 

12 
36 

142 
83 

202 
60 

1,396 
905 

4,038 
3,945 

16,852 
4.023 

897 
448 

Rural  

Area  actually  reporting  

Estimated  totals    

100.0% 

14,989 

1,711 

13,278 

57 

131 

95 

1,428 

6,224 

6,347 

707 

Slate  Total                         

5,1S8,000 

279.340 

39.358 

239.982 

543 

1.756 

12,952 

24.107 

64,643 

146,533 

28,806 

Rate  per  100,000 

inhabitants  

5.415.7 

763.0 

4,652.6 

10.5 

34.0 

251. 1 

467.4 

1,253.3 

2,840.9 

558.5 

MONTANA 

Metropolitan  Statistical 

Area    

193,344 

Area  actually  reporting  

100.0% 

9,754 

263 

9,491 

9 

60 

59 

135 

1,392 

7,562 

537 

Cities  outside  metropolitan  areas  . . 

197,443 

Area  actually  reporting  

66.4% 

6,447 

184 

6,263 

1 

12 

20 

151 

609 

5,332 

322 

Estimated  totals    

100.0% 

12,085 

426 

11,659 

8 

46 

56 

316 

1,353 

9,715 

591 

Rural  

417,213 

Area  actually  reporting  

78.3% 

5,977 

344 

5,633 

3 

42 

27 

272 

1,163 

4,048 

422 

Estimated  totals    

100.0% 

7,638 

441 

7,197 

4 

54 

35 

348 

1,486 

5,172 

539 

State  Total    

808,000 

29.477 

1.130 

28.347 

21 

160 

150 

799 

4,231 

22,449 

1.667 

Rate  per  100,000 

inhabitants 

3,648.1 

139.9 

3,508.3 

2.6 

19.8 

18.6 

98.9 

523.6 

2,778.3 

206.3 

NEBRASKA 

Metropolitan  Statistical 

Area    

773,185 

Area  actually  reporting  

100.0% 

45,961 

4,549 

41,412 

37 

323 

782 

3,407 

7,488 

31,500 

2,424 

Cities  outside  metropolitan  areas  . . 

386,474 

99.8% 

16,977 

526 

16.451 

7 

71 

63 

385 

2,479 

13.331 

641 

Estimated  totals    

100.0% 

17,016 

5?7 

16,489 

7 

71 

63 

386 

2,485 

13,362 

642 

Rural 

433,341 
100.0% 

6,384 

254 

6,130 

8 

53 

16 

177 

1,601 

4,209 

320 

Area  actually  reporting  

Stale  Total    

1,593,000 

69.361 

5.330 

64.031 

52 

447 

861 

3.970 

11,574 

49,071 

3,386 

Rate  per  100,000 

inhabitants  

4,354.1 

334.6 

4,019.5 

3.3 

28.1 

54.0 

249.2 

726.6 

3.080.4 

212.6 

NEVADA 

Metropolitan  Statistical 

Area    

1,064,242 

Area  actually  reporting  

95.0% 

71,265 

7,793 

63,472 

124 

756 

3,858 

3,055 

15,285 

40,299 

7,888 

100.0% 

74,467 

8,076 

66,391 

126 

809 

3.938 

3,203 

15,980 

42,318 

8,093 

Cities  outside  metropolitan  areas  . . 

38,810 

Area  actually  reporting  

52.9% 

1,312 

68 

1,244 

") 

6 

11 

49 

335 

848 

61 

Estimated  totals    

100.0% 

180,948 

49.4% 

2,479 
1,941 

129 
241 

2.350 
1,700 

4 
11 

11 
14 

21 
26 

93 
190 

633 
698 

1.602 
919 

115 

83 

Rural   

Area  actually  reporting  

Estimated  totals    

100.0% 

3,930 

488 

3,442 

22 

28 

53 

385 

1,413 

1,861 

168 

State  Total    

1.284.000 

80.876 

8.693 

72.183 

152 

848 

4.012 

3,681 

18.026 

45.781 

8.376 

Rate  per  100,000 

inhabitants  

6,298.8 

677.0 

5.621.7 

11.8 

66.0 

312.5 

286.7 

1,403,9 

3,565.5 

652.3 

NEW  HAMPSHIRE 

Metropolitan  Statistical 

Area    

588,901 
99.2% 

24,013 

739 

23,274 

18 

166 

290 

265 

5,240 

16,174 

1,860 

Area  actually  reporting  

Estimated  totals    

100.0% 

24.175 

743 

23,432 

18 

167 

291 

267 

5,272 

16,287 

1,873 

337,240 

Area  actually  reporting  

90.2% 

11,608 

436 

11,172 

11 

133 

56 

236 

2,195 

8,528 

449 

Estimated  totals    

100.0% 
178,859 

12,866 

483 

12,383 

12 

147 

62 

262 

2,433 

9,452 

498 

Rural  

Area  actually  reporting  

94.5% 

999 

86 

913 

9 

15 

11 

51 

398 

455 

60 

Estimated  totals    

100.0% 

1,057 

92 

965 

10 

16 

12 

54 

421 

481 

63 

State  Total    

1.105.000 

38.098 

1.318 

36.780 

40 

330 

365 

583 

8.126 

26.220 

2.434 

Rate  per  100,000 

inhabitants  

3,447.8 

119.3 

3,328.5 

3.6 

29.9 

33.0 

52.8 

735.4 

2,372.9 

220.3 

See  footnotes  at  end  of  table. 

73 


Table  5.— Index  of  Crime,  State,  1991— Continued 


Population 


Crime 
Index 
tolal 


Modified 
Crime 
Index 
total' 


Violent 
crime- 


Property 
cnme^ 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


NEW  JERSEY 
Metropolitan  Statistical 

Area    

Area  actually  reporting  ... 
Cities  outside  metropolitan  areas 

Rural  

State  Total    

Rate  per  100,000 
inhabitants  

NEW  MEXICO 

Metropolitan  Statistical 
Area    

Area  actually  reporting  . . . 

Estimated  totals    

Cities  outside  metropolitan  areas 

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    

Cities  outside  metropolitan  areas 

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    

Cities  outside  metropolitan  areas 

Area  actually  reporting  . . . 

Estimated  totals    

Rural   

Area  actually  reporting  . . . 

Estimated  totals    

State  Total    

Rate  per  100,000 
inhabitants  

NORTH  DAKOTA 

Metropolitan  Statistical 
Area    

Area  actually  reporting  . . . 

Estimated  totals    

Cities  outside  metropolitan  areas 

Area  actually  reporting  ... 

Estimated  totals    

Rural   

Area  actually  reporting  . . . 

Estimated  totals    

Stale  Total    

Rate  per  100,000 

inhabitants  

See  footnotes  at  end  of  table 


7.760,000 
100.0% 
NONE 
NONE 

7,760,000 


421,469 

421,469 

5.431.3 


749,111 

73.4% 

50,521 

100.0% 

60,234 

472,295 

76.1% 

24,930 

100.0% 

32,777 

326.594 

56.3% 

5,842 

100.0% 

10.385 

1,548.000 

103,396 

6.679.3 


16,448,291 

99.5% 

1.071.812 

100.0% 

1.074,706 

691,300 

95.9% 

29,121 

100.0% 

30,363 

918,409 

100.0% 

22,582 

18,058.000 

1,127,651 

6,244.6 


3,819,505 

99.7% 

264,077 

100.0% 

265.095 

923,565 

94.1% 

75,408 

100.0% 

80,145 

1,993,930 

97.9% 

50.390 

100.0% 

51,483 

6,737,000 

396,723 

255,897 

99.4% 

10.925 

100.0% 

11.007 

144,110 

95.2% 

4.275 

100.0% 

4.491 

234.993 

93.0% 

2.087 

100.0% 

2.243 

635,000 

17,741 

2.793.9 


49.257 

49,257 
634.8 


6.398 
7.219 

2.833 
3.724 

1,114 

1,979 

12,922 

834.8 


205,634 
205,868 

2,203 
2,296 

2,020 
210.184 

1,163.9 


30.267 
30,375 

9,005 
9,571 

4,315 

4,409 

44,355 

658.4 


252 
253 

113 
119 

40 

43 

415 

65.4 


372,212 

372,212 

4,796.5 


44,123 
53,015 

22,097 
29,053 

4.728 

8.406 

90,474 

5.844.6 


866.178 
868,838 

26,918 
28,067 

20,562 
917,467 

5,080.7 


233,810 
234,720 

66,403 
70,574 

46,075 
47,074 
352,368 

5,230.3 


10.673 
10.754 

4.162 
4.372 

2.047 
2.200 
17,326 

2,728.5 


406 

406 

5.2 


57 
64 

23 
30 

39 
69 
163 

10.5 


2,534 
2,536 


27 
2.571 


14.2 


452 
452 

122 
130 

183 
187 
769 

11.4 


1.1 


2,259 

2,259 

29.1 


340 
438 

200 
263 

62 
110 
811 

52.4 


4,752 
4,763 

167 
174 

148 
5,085 

28.2 


1,651 
1,657 

313 
333 

334 

341 

2,331 

34.6 


88 


15 
16 

II 

12 

116 

18.3 


22,744 

22,744 
293.1 


1.401 
1,489 

214 
281 

52 

92 

1.862 

120.3 


111.918 
111.993 

240 
250 

99 
112.342 

622.1 


9,299 
9,331 

1,982 
2,106 

541 

553 

11.990 

178.0 


23,848 

23.848 

307.3 


4,600 
5,228 

2,396 
3,150 

961 

1,708 

10,086 

651.6 


86,430 
86,576 

1,788 
1,864 

1,746 
90,186 

499.4 


18,865 
18,935 

6,588 
7,002 

3.257 

3,328 

29,265 

434.4 


128 
129 

81 
85 

25 

27 

241 

38.0 


78,821 

78,821 

1,015.7 


13,014 
16,122 

5,321 
6,996 

1,999 

3,554 

26,672 

1,723.0 


191,643 
192,168 

4,918 
5,128 

7.203 
204,499 

1.132.5 


72.421 
72,669 

18,468 
19,628 

21,251 
21,712 
114.009 

1,692.3 


1,287 
1,295 

433 
455 

574 

617 

2.367 

372.8 


221,544 

221,544 

2,854.9 


28,076 
33,280 

15.940 
20.958 

2.364 
4.203 
58.441 

3.775.3 


494.966 
496,824 


21,323 
22,233 


12.624 
531,681 


2.944.3 


147,820 
148,438 

44,758 
47,569 

21,714 
22,185 
218.192 

3,238.7 


8,876 
8,945 

3,564 
3,744 

1,363 

1,465 

14,154 

2.229.0 


71,847 

71,847 

925.9 


3,033 
3.613 

836 
1,099 

365 

649 

5,361 

346.3 


179,569 
179,846 

677 
706 

735 
181,287 

1,003.9 


13,569 
13,613 

3,177 
3,377 

3,110 
3,177 
20,167 

299.3 


510 
514 

165 

173 

110 
118 
805 

126.8 


74 


Table  5.— Index  of  Crime,  State,  1991— Continued 


Population 


Clime 
Index 
total 


Modified 
Cnme 
Index 
total' 


Violent 
Clime' 


Property 


Murder 
and  non- 
negltgent 

man- 
slaughter 


Forcible 
rape 


vated 
assault 


Burglary 


Larceny- 
thefl 


Motor 
vehicle 
theft 


OHIO 

Metropolitan  Statistical 
Area    

Area  actually  reporting  ... 

Estimated  lolals    

Cities  outside  metropolitan  areas 

Area  actually  reporting  ... 

Estimated  totals    

Rural  

Area  actually  reporting  ... 

Estimated  totals    

Stale  Total    

Rate  per  100.000 
inhabitants  

OKLAHOMA 

Metropolitan  Statistical 
Area    

Area  actually  reporting  . . . 

Estimated  totals    

Cities  outside  metropolitan  areas 

Area  actually  reporting  ... 

Estimated  totals    

Rural   

Area  actually  reporting  ... 
Stale  Total    

Rate  per  100,000 
mhabilants  

OREGON 

Metropolitan  Statistical 
Area    

Area  actually  reporting  ... 

Estimated  totals 

Cities  outside  metropolitan  areas 

.Area  actually  reporting  . . . 

Estimated  totals    

Rural   

Area  actually  reporting  . . . 
Stale  Total    

Rate  per  100.000 
inhabitants  

PENNSYLVANIA 

Metropolitan  Statistical 
Area    

Area  actually  reporting  . . . 

Estimated  totals    

Cities  outside  metropolitan  areas 

Area  actually  reporting  ... 

Estimated  totals    

Rural   

Area  actually  reporting  . . . 
State  Total    

Rate  per  100.000 
inhabitants  

PUERTO  RICO' 

Metropolitan  Statistical 
Area    

Area  actually  reporting  ... 
Cities  outside  metropolitan  areas 

Area  actually  reporting  . . . 

Total    

See  footnotes  at  end  of  table 


8,629,591 

86.5% 

444,353 

100.0% 

484,495 

862.244 

75.7% 

32.511 

100.0% 

42,937 

1.447.165 

63.1% 

14.598 

100.0% 

23.128 

10,939,000 

550,560 

5,033.0 


1.887,585 

99.9% 

133.511 

100.0% 

133.537 

659,218 

99.6% 

34,817 

100.0% 

34,967 

628.197 

100.0% 

11.478 

3,175,000 

179,982 

5,668.7 


2.001,243 

99.8% 

127,156 

100.0% 

127.385 

422.809 

96.3% 

26.601 

100.0% 

27.617 

497.948 

100.0% 

13.163 

2,922,000 

168.165 

5.755.1 


10,143,301 

97.5% 

379,774 

100.0% 

387,083 

767.270 

91.1% 

19,906 

100.0% 

21,841 

1.050.429 

100.0% 

16,714 

11.961,000 

425,638 

100.0% 
100.0% 


3.558.5 


106.845 


12,886 
119,731 


54,424 
57,301 

1,832 
2,420 

1,097 

1,739 

61,460 

561.8 


14.220 
14,221 


3,327 
3,341 


971 
18.533 


583.7 


12,707 
12.720 


1.170 
1.215 


860 
14.795 


506.3 


50,095 
50,758 


1,798 
1.973 


1,093 
53.824 


450.0 


25.982 


2.163 
28.145 


389.929 
427.194 

30,679 
40,517 

13,501 

21,389 

489,100 

4,471.2 


119.291 
119.316 


31.490 
31.626 


10.507 
161,449 


5.085.0 


114.449 
114.665 


25.431 
26.402 


12.303 
153,370 


5.248.8 


329.679 
336.325 


18,108 
19,868 


15.621 
371.814 


3.108.6 


80,863 


10.723 
91.586 


712 
736 

II 
15 

20 

32 

783 

7.2 


146 
146 


40 
230 


7.2 


4.6 


708 

712 


36 
758 


6.3 


762 


4,876 
5,205 

278 
367 

111 

176 

5,748 

52.5 


1.269 
1.269 


237 
238 


108 
1.615 


50.9 


1.228 
1.230 


167 
173 


158 
1.561 


3.015 
3.058 

143 
157 

220 
3,435 

28.7 


347 


77 
424 


22.045 
22,890 

406 
536 

69 

110 

23,536 

215.2 


3.620 
3,620 


413 
415 


59 
4,094 


128.9 


4,052 
4,056 

251 
261 

70 
4,387 

150.1 


22,739 
22,887 

170 
187 

117 
23,191 

193.9 


19.273 


730 
20,003 


26,791 
28,470 

1,137 
1,502 

897 

1,421 

31,393 

287.0 


9.185 
9.186 


2,633 
2,644 


764 
12,594 


396.7 


7.336 
7.343 


736 
764 


607 
8,714 


298.2 


23,633 
24,101 

1,476 
1,619 

720 
26,440 

221.1 


5.600 


1.301 
6.901 


93.399 
101,022 

5,763 
7,611 

4,286 

6,790 

115,423 

1,055.2 


33.496 
33,502 


8,742 
8,780 


4,652 
46.934 


1,478.2 


25,127 
25,167 


5,095 
5,290 


3,906 
34,363 


1,176.0 


74,656 
75,848 

2,909 
3,192 

7,034 
86,074 

719.6 


28.680 


4,969 
33,649 


247,891 
274,511 

23,625 
31,201 

8,345 

13,221 

318,933 

2,915.6 


70,674 
70,691 


20,984 
21,074 


5,077 
96,842 


3,050.1 


77,557 
77,718 


19,126 
19,856 


7,571 
105,145 


3,598.4 


200.404 
205.135 

14,199 
15.579 

7.428 
228.142 

1.907.4 


34.077 


4,839 
38,916 


48,639 
51.661 

1,291 
1,705 

870 

1.378 

54,744 

500.4 


15.121 
15.123 


1.764 
1.772 


778 
17,673 


556.6 


11,765 
11,780 


1,210 
1,256 


826 
13.862 


474.4 


54.619 

55.342 


1,000 
1,097 


1.159 
57.598 


481.5 


18.106 


915 
19.021 


75 


Table  S.— Index  of  Crime,  State,  1991— Continued 


Population 


Cnme 
Index 
total 


Modified 
Cnme 
Index 
total' 


Violent 
ciiine' 


Property 
cnme' 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


RHODE  ISLAND 

Metropolitan  Statistical 
Area    

Area  actually  reporting  . . . 
Cities  outstde  metropolitan  areas 

Area  actually  reporting  . . . 
Rural   

Area  actually  reporting  ... 
State  Total    

Rate  per  100,000 
inhabitants  

SOUTH  CAROLINA 

Metropolitan  Statistical 
Area    

Area  actually  reporting  . . . 
Cities  outside  metropolitan  areas 

Area  actually  reporting  . . . 

Estimated  totals    

Rural   

Area  actually  reporting  . . . 
Stale  Total    

Rate  per  100,000 
inhabitants  

SOUTH  DAKOTA 

Metropolitan  Statistical 
Area    

Area  actually  reporting  . . . 
Cities  outstde  metropolitan  areas 

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    

Cities  outside  metropolitan  areas 
Area  actually  reporting  . . . 

Estimated  totals    

Rural  

Area  actually  reporting  . . . 

Estimated  totals 

Slate  Total    

Rate  per  100,000 
inhabitants  

TEXAS 

Metropolitan  Statistical 
Area    

Area  actually  reporting  . . . 

Estimated  totals    

Cities  outside  metropolitan  areas 

Area  actually  reporting  . . . 

Estimated  totals    

Rural   

Area  actually  reporting  . . . 

Estimated  totals    

Slate  Total    

Rate  per  100,000 

inhabitants  

Sec  footnotes  at  end  of  table. 


939,424 

100.0% 

47.407 

64.576 

100.0% 

3,158 

100.0% 

30 

,004,000 

50,595 

5,039.3 


2,158,972 

100.0% 

146,143 

421,275 

99.2% 

35,339 

100.0% 

35,633 

979,753 

100.0% 

38,204 

3,560,000 

219,980 

6,179.2 


207,268 

100.0% 

10,625 

192,987 

97.8% 

7.705 

100.0% 

7,878 

302,745 

82.5% 

2,594 

100.0% 

3,144 

703,000 

21,647 

3,079.2 


.3,324.763 

89.4% 

207,039 

100.0% 

219,602 

568,187 

78.5% 

22,041 

100.0% 

28,094 

1,060,050 

49.9% 

9,031 

100.0% 

18,115 

4,953,000 

265,81 1 

5,366.7 


14,160,824 

99.9% 

1,234.446 

100.0% 

1,234.601 

1,389.230 

99.6% 

82.180 

100.0% 

82.423 

1.798.946 

99.5% 

39.286 

100.0% 

39.503 

17,349,000 

1,356,527 

7,819.1 


4,289 
336 


13 
4,638 


462.0 


21,940 

6,198 
6,249 

6,432 
34,621 

972.5 


806 

294 
301 

143 

174 

1,281 

182.2 


29,962 
31,237 

2,252 
2,870 

921 

1,848 

35,955 

725.9 


131,394 
I  3 1 .4 1 1 

10,120 
10.148 

4,161 

4,184 

145,743 

840,1 


43,118 
2.822 


17 
45,957 


4,577.4 


124,203 

29,141 
29,384 

31,772 
185,359 

5,206.7 


9,819 

7,411 

7.577 

2,451 
2,970 
20,366 

2.897.0 


177.077 
188,365 

19,789 
25,224 

8,110 

16,267 

229,856 

4,640.7 


1,103,052 
1,103.190 

72,060 
72,275 

35,125 

35.319 

1,210,784 

6,979.0 


37 
3.7 


237 


113 
402 


11.3 


437 
460 

23 
29 

29 

58 

547 

11.0 


2,425 
2,425 

103 
103 

123 

124 

2,652 

15.3 


282 

25 


3 
310 


30.9 


1,360 


268 
270 


468 
2,098 


58.9 


193 

49 
50 

30 

36 

279 

39.7 


1,940 
2,045 

106 
135 

59 

119 

2,299 

46.4 


8,385 
8,387 

514 
515 

362 

364 

9,266 

53.4 


1,185 
49 


1,234 

122.9 

4.395 

1,009 
1,017 

680 
6,092 

171.1 


28 
29 

12 

15 

132 

18.8 


9,821 
10,009 

323 
412 

61 

122 

10,543 

212.9 


48,483 
48.487 

972 
973 

239 

240 

49,700 

286.5 


2,786 

261 

10 
3,057 

304.5 


15,948 


4.869 
4.910 


5,171 
26,029 


731.2 


520 

215 
220 

97 
118 
858 

122.0 


17.764 
18.723 

1,800 
2,294 

772 

1,549 

22,566 

455.6 


72,101 
72,112 

8.531 
8,557 

3.437 

3,456 

84,125 

484.9 


10,692 

625 

3 
11,320 

1,127.5 


32.746 


7,420 
7,482 


11,565 
51,793 


1,454.9 


1.693 

1,325 
1,355 

906 
1,098 
4,146 

589.8 


50,779 
54,210 

4.758 
6,065 

3,656 

7.333 

67,608 

1,365.0 


277.193 
277,229 

19.440 
19.496 

15,880 

15.968 

312,693 

1,802.4 


24,606 

2,047 

11 
26,664 

2,655.8 


81.390 

20,254 
20,423 

17,971 
119,784 

3,364.7 


7,727 

5,842 
5,973 

1,413 

1,712 

15,412 

2,192.3 


100,081 
107,078 

13,731 
17.502 

3,627 

7,275 

131,855 

2,662.1 


667,575 
667,666 

49.095 
49,243 

17,257 

17,352 

734,261 

4,232.3 


7.820 

150 

3 
7,973 

794.1 


10,067 

1,467 
1,479 

2,236 
13,782 

387.1 


399 

244 
249 

132 
160 
808 

114.9 


26,217 
27,077 

1,300 
1,657 

827 

1.659 

30,393 

613.6 


158,284 
158,295 

3,525 
3,536 

1.988 

1,999 

163,830 

944.3 


76 


Table  5.— Index  of  Crime,  State,  1991— Continued 


Population 


Crime 
Index 
tola) 


Modified 
Cnmc 
Index 
total' 


Violent 
cnme- 


Property 
crime' 


Murder 
and  non- 
negligenl 

man- 
slaughter 


Forcible 
rape 


Robber) 


Aggra- 
vated 
as&aull 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


UTAH 

Metropolitan  Statistical 
Area    

Area  actually  reporting  ... 

Estimated  totals    

Cities  outside  metropolitan  areas 

Area  actually  reporting  ... 

Estimated  totals    

Rural   

Area  actually  reporting  ... 

Estimated  totals    

Stale  Total    

Rate  per  100.000 
inhabitants  

VERMONT 

Metropolitan  Statistical 
Area    

Area  actually  reporting  ... 

Estimated  totals    

Cities  outside  metropolitan  areas 

Area  actually  reporting  ... 
Rural   

Area  actually  reporting  ... 
State  Total    

Rate  per  100,000 
inhabitants  

VIRGINIA 

Metropolitan  Statistical 
Area    

Area  actually  reporting  ... 
Cities  outside  metropolitan  areas 

Area  actually  reporting  . . . 
Rural   

Area  actually  reporting  . . . 
State  Total    

Rate  per  100.000 
inhabitants  

WASHINGTON 

Metropolitan  Statistical 
Area    

Area  actually  reporting  ... 

Estimated  totals    

Cities  outside  metropolitan  areas 

Area  actually  reporting  ... 

Estimated  totals    

Rural   

Area  actually  reporting  ... 
State  Total    

Rate  per  100.000 
inhabitants  

WEST  VIRGINIA 

Metropolitan  Statistical 
Area    

.Area  actually  reporting  ... 
Cities  outside  metropolitan  areas 

Area  actually  reporting  ... 
Rural   

Area  actually  reporting  ... 
State  Totol    

Rate  per  100.000 

inhabitants  

See  footnotes  at  end  of  table, 


1.372,402 

99.6% 

85,074 

100.0% 

85,366 

199,479 

93.7% 

9.082 

100.0% 

9.690 

198,119 

85.3% 

3,581 

100.0% 

4.199 

1,770,000 

99,255 

4,554,559 
100.0% 
465,472 
100.0% 

1,265,969 
100.0% 

6,286,000 


655,105 
100.0% 

297,842 
100.0% 

848,053 

100.0% 

1,801,000 


5,607.6 


108.650 

59.2% 

4,724 

100.0% 

6,953 

197.411 

100.0% 

7,924 

260,939 

100-0% 

7,549 

567,000 

22,426 

3,955.2 


247,714 

19,797 

22,108 
289,619 

4,607.4 


4,102,260 

99.3% 

269.937 

100,0% 

271,915 

407,761 

91.7% 

27,586 

100.0% 

30,086 

507,979 

100.0% 

14,338 

5,018,000 

316,339 

6,304.1 


23,915 

10,576 

13.477 
47,968 

2.663.4 


4,483 
4.496 

290 
310 

231 

271 

5,077 

286,8 


95 
134 


266 


262 
662 


20,210 

1,421 

1,828 
23,459 

373.2 


23,480 
23,593 

1,503 
1 ,639 

992 
26,224 

522.6 


1.778 
628 


1.034 
3,440 


191.0 


80,591 
80,870 

8,792 
9,380 

3,350 

3,928 

94,178 

5,320.8 


4,629 
6,819 


7,658 


7,287 
21,764 


3,838.4 


227,504 

18,376 

20,280 
266.160 

4,234.2 


246,457 
248,322 


26,083 
28,447 


13,346 
290.115 


5,781.5 


22,137 
9.948 


12,443 
44,528 


2.472.4 


40 
40 

4 
4 

7 

8 

52 

2.9 


12 

2.1 


485 
20 


78 
583 


9.3 


171 
171 


23 
211 


4.2 


6.2 


692 
694 

56 
60 

46 

54 

808 

45.6 


53 


65 
173 


30.5 


1,530 
117 


232 
1.879 


29.9 


2,960 
2,979 

274 
299 

251 
3,529 

70.3 


191 
70 


154 
415 


23.0 


934 
936 

27 
29 

9 

11 

976 

55,1 


23 


11,8 


8,244 
209 


198 
8,651 


137.6 


6,994 
7,024 

211 
230 

49 
7,303 

145.5 


560 
1.30 


89 

779 


43.3 


2,817 
2,826 

203 
217 

169 

198 

3,241 

183,1 


186 


172 
410 


72,3 


9,951 

1,075 

1,320 
12,346 

196.4 


13,355 
13,419 

1,002 
1,093 

669 
15.181 

302.5 


988 
412 


735 
2,135 


118.5 


12,520 
12,561 

1,263 
1,348 

821 

963 

14,872 

840.2 


818 
1,205 

1,595 

2.984 
5,784 

1,020.1 


40,544 

2,917 

5,763 
49,224 

783.1 


52,139 
52,456 

4,604 
5,021 

4,519 
61,996 

1,235.5 


5.544 
1,808 


4,657 
12,009 


666.8 


64,318 
64,546 

7,239 
7,723 

2,364 

2,772 

75,041 

4,239.6 


3,663 

5,376 


5,763 


4,022 
15,161 


2,673.9 


167,634 

14.679 

13.339 
195.652 

3.112.5 


1 74.064 
175,491 

20.364 
22.210 

8.113 
205,814 

4,101,5 


15,117 
7,686 


6,566 
29,369 


1,630,7 


3,753 
3,763 

290 
309 

165 

193 

4,265 

241,0 


148 
238 


300 


281 
819 


19,326 

780 

1,178 
21,284 

338.6 


20.254 
20.375 


1,115 
1,216 


714 
22,305 


444.5 


1,476 

454 

1,220 
3,150 

174.9 


77 


Table  5.— Index  of  Crime,  State,  1991— 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 


WISCONSIN 

Metropolilan  Slalislical 
Area    

Area  actually  reporting  ... 
Cities  outside  metropolitan  areas 

Area  actually  reporting  ... 

Estimated  totals    

Rural  

Area  actually  reporting  ... 
Stale  Total    

Rate  per  100,000 
inhabitants  

W"VOMING 

Metropolitan  Statistical 
Area    

Area  actually  reporting  ... 
Cities  outside  metropolitan  areas 

Area  actually  reporting  . . . 

Estimated  totals    

Rural  

Area  actually  reporting  . . . 
Stale  Total    

Rate  per  100,000 
inhabitants  


3,349.659 

100.0% 

174,528 

581,030 

99.8% 

28,112 

100.0% 

28,177 

1,024,311 

100.0% 

18,578 

4,955,000 

221,283 

4,465.9 


136,297 

100.0% 

7,808 

201,206 

99.9% 

9,810 

100.0% 

9,822 

122,497 

100.0% 

2,559 

460,000 

20,189 

4,388.9 


11,846 


894 
896 


981 
13,723 


277.0 


492 

635 
636 

299 
1,427 

310.2 


162,682 


27.218 
27,281 


17,597 
207.560 


7,316 


9,175 
9,186 


2,260 
18,762 


4,078.7 


209 

5 
5 


25 
239 


4.8 


1,041 


114 
114 


104 
1.259 


25.4 


3,3 


40 


22 
119 


25.9 


5,729 


125 
125 


41 
5,895 


119.0 


39 


28 


17.2 


4,867 


650 
652 


811 
6,330 


127.7 


408 


547 
548 


258 
1,214 


263.9 


27,741 


3,120 
3,127 


6.373 
37,241 


751.6 


1,354 

1,266 
1,268 

562 
3,184 

692.2 


115.299 

23,146 
23,200 

10,196 
148,695 

3,000.9 


5,686 

7,594 
7,603 

1,578 
14,867 

3,232.0 


19,642 


952 
954 


1,028 
21.624 


436.4 


276 


315 
315 


120 
711 


154.6 


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

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

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

'Includes  offenses  reported  by  the  Zoological  Police. 

'Forcible  rape  figures  furnished  by  the  state-level  Uniform  Crime  Reporting  (UCR)  Program  administered  by  the  Illinois  Department  of  State  Police  were  not  in  accordance  with  national  UCR 
guidelines.  The  1991  forcible  rape  totals  for  Illinois  were  estimated  using  the  national  rate  of  forcible  rapes  when  grouped  by  like  agencies.  Therefore,  only  the  state  total  is  shown.  See  "Offense 
Estimation,"  page  377  for  details. 

*Data  for  1991  were  not  available  for  the  State  of  Iowa;  therefore,  it  was  necessary  that  their  crime  counts  be  estimated.  See  "Offense  Estimation."  page  377  for  details. 

'The  1991  Bureau  of  Census  population  estimate  for  Puerto  Rico  was  not  available  prior  to  publication;  therefore,  no  population  or  rates  per  100,00  inhabitants  are  provided. 


78 


Table  6. — Index  of  Crime,  Metropolitan  Statistical  Areas,  I99I 


Metropolitan  Statistical  Area 


Population 


Cnme 
Index 
total 


Modified 
Cnme 
Index 
total' 


Violent 
cnmr 


Property 
cnme' 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


Abilene,  Tx.  M.S-A 

(Includes  Taylor  County.) 

City  of  Abilene  

Total  area  actually  reporting   

Rate  per  100,000  inhabitants  

Albiny,  C«.  M.S.A 

(Includes  Dougherty  and  Lee 
Counties.) 

City  of  Albany   

Total  area  actually  reporting   

Estimated  total   

Rate  per  100,000  inhabitants  

Albany-Scbenectady-Troy,  N.Y.  M.S.A.  .. 
(Includes  Albany,  Greene, 
Montgomery,  Rensselaer,  Saratoga  and 
Schenectady  Counties.) 
City  of 

Albany   

Schenectady  

Troy  

Total  area  actually  reporting    

Estimated  total   

Rate  per  100,000  inhabitants  

AlbaqoerqiK,  N.M,  M-SA 

(Includes  Bernalillo  County.) 

City  of  Albuquerque  

Total  area  actually  reporting   

Estimated  total   

Rate  per  100,000  inhabitants  

Alexudris,  La.  M.S,A 

(Includes  Rapides  Pansh.) 

City  of  Alexandna    

Total  area  actually  reporting   

Estimated  total   

Rale  per  100,000  inhabitants    

Alltotown-Belblthein.  Pa.-NJ.  M.Sj^.  .. 
(Includes  Carbon,  Lehigh  and 
Northampton  Counties,  Pa., 
and  Warren  County,  N.J.) 
City  of 

t        Allentown,  Pa 

Bethlehem,  Pa 

Total  area  actually  reporting   

Estimated  total   

Rate  per  100,000  inhabitants  

AllooM,  Pa.  M5.A 

(Includes  Blair  County.) 

City  of  Altoona    

Total  area  actually  reporting   

Estimated  total   

Rale  per  100.000  inhabitants  

Anurillo,  Tx.  M.SA 

(Includes  Potter  and  Randall 
Counties.) 

City  of  Amanllo  

Total  area  actually  reporting   

Rate  per  100,000  inhabiunts  

ADcbonige,  Ak.  M.S.A 

(Includes  Anchorage  Borough.) 

Total  area  actually  reporting    

Rale  per  100,000  inhabitants  

Aaaheim-SaDta  Ana.  Ca.  M.SA 

(Includes  Orange  County.) 
City  of 

Anaheim    

Santa  Ana  

Total  area  actually  reporting    

Rate  per  100,000  inhabitants  


122.20« 


108,929 
100.0% 


115,074 


79,868 
99.3% 
100.0% 

877.902 


690.981 


191.547 


6,451 

6,785 

5,552  I 


9.546 
10.381 
10.453 
9,083.7 


101,461 

7,570 

65.811 

3.816 

54,472 

2,567 

99.9% 

35.221 

100.0% 

35.269 

4,017,4 

491.072 

393,148 

40,433 

80.1% 

41,280 

100.0% 

44,122 

8,984.8 

132,552 

49,561 

5.004 

99.4% 

7.470 

100.0% 

7,526 

5.677.8 

105.792 

6,637 

71.904 

2,883 

97.0% 

21.525 

100.0% 

22,131 

3,202.8 

131,407 

52.227 

1,608 

98.9% 

3,196 

100.0% 

3.239 

2.464.9 

160.978 

12,768 

100.0% 

13,618 

7,109.5 

234.571 

100.0% 

15,686 

6,687.1 

2,460,754 

271,955 

19,451 

299,860 

22,952 

100.0% 

144,524 

5,873.2 

870 

891 

729.1 


904 

944 

949 

824.7 


1,202 
533 
121 
3,601 
3,605 
410.6 


5,591 

5.607 

5.884 

1.198,2 


361 

657 

664 

500.9 


391 

197 

1,299 

1,354 

196.0 


120 

177 

181 

137.7 


906 

995 

519.5 


1,669 

711,5 


1,942 
3,306 
13,967 
567.6 


5,581 

5,894 

4.823,0 


8,642 

9.437 

9,504 

8,259.0 


6,368 
3,283 
2,446 
31,620 
31,664 
3.606.8 


34.842 
35,673 
38,238 
7,786.6 


4.643 

6,813 

6.862 

-5.176.8 


6,246 

2,686 

20,226 

20,777 

3.006.9 


1,488 

3,019 

3.058 

2,327.1 


11,862 
12,623 
6,590.0 


14,017 
5,975.6 


17,509 

19.646 

130,557 

5,305.6 


15 

16 

13.1 


13 

14 

14 

12.2 


4 
31 
31 
3.5 


51 

51 

54 

1 1.0 


9 
10 
10 

7,5 


7 

6 

25 

25 

3.6 


15 

20 

10.4 


25 
10.7 


25 
59 
155 
6.3 


64 

64 

52.4 


63 

67 

67 

58.2 


71 
32 
16 

197 
197 
22.4 


261 
262 
309 
62.9 


38 

64 

64 

48,3 


14 

21 

113 

117 

16.9 


17 

34 

34 

25.9 


80 

86 

44.9 


264 
112,5 


111 

76 

670 

27.2 


216 

221 

180.8 


404 

418 

420 

365.0 


487 
154 
62 
864 
865 
98.5 


1,307 
1,307 
1,330 
270,8 


106 
113 

115 
86,8 


164 
53 
350 
362 
52,4 


29 

37 

38 

28,9 


265 

269 

140.4 


542 
231.1 


983 
1.946 
6.088 

247.4 


575 

590 

482.8 


424 

445 

448 

389.3 


632 

345 

39 

2,509 

2,512 

286.1 


3,972 
3,987 
4,191 
853.4 


208 

470 

475 

358.3 


206 
117 
811 
850 
123.0 


73 
105 
108 


546 

620 

323.7 


838 

357.2 


823 
1,225 
7,054 
286.7 


1,915 
1.567.0 


3,157 

3,520 

3,535 

3,071.9 


1.988 
1.083 

772 
7,841 
7,849 
894.1 


10,348 
10,393 
11,741 
2,390,9 


1.181 

1,927 

1,937 

1,461,3 


1,371 
496 
4,176 
4,275 
618.7 


531 

910 

917 

697.8 


2,354 

2,548 

1,3302 


2,489 
1,061.1 


4,289 

4,252 

30,550 

1,241.5 


3,534 

3,727 

3,049.8 


5,055 

5,463 

5,509 

4.787,4 


3,878 
1,981 
1,567 

22,292 
22,324 
2,542,9 


22.024 
22,779 
23,795 
4,845,5 


3,152 

4,476 

4.510 

3.402.4 


4,436 

1,952 

14,408 

14.800 

2.141.9 


846 

1,888 

1.916 

1,458.1 


9.020 

9.540 

4,980,5 


9,967 
4,249.0 


10,108 
11,048 
79.013 
3,210.9 


239 

252 

206.2 


430 

454 

460 

399.7 


502 

219 

107 

1,487 

1,491 

169.8 


2,470 
2,501 
2,702 
550.2 


310 

410 

415 

313,1 


439 

238 

1.642 

1,702 

246.3 


III 

221 

225 

171.2 


488 

535 

279,3 


1.561 
665,5 


3,112 

4,346 

20,994 

853,2 


See  footnotes  at  end  of  table. 


79 


Table  6. — Index  of  Crime.  Metropolitan  Statistical  Areas,  1991 — Continued 


Metropolitan  Statistical  Area 


Population 


Crime 
Index 
total 


Modified 
Crime 
Index 
total' 


Violent 
crime- 


Property 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


Anderson,  In.  M.S.A 

(Includes  Madison  County.) 

City  of  Anderson  

Total  area  actually  reporting   

Rate  per  100,000  mhabitants  

Anderson,  S.C.  M.S.A 

(Includes  Anderson  County.) 

City  of  Anderson  

Total  area  actually  reporting   

Rate  per  100,000  inhabitants  

Ann  Arbor,  Mi.  M.S.A 

(Includes  Washtenaw  County.) 

City  of  Ann  Arbor  

Total  area  actually  reporting  

Rate  per  100,000  inhabitants  

Anniston,  Al.  M.S.A 

(Includes  Calhoun  County.) 

City  of  Anniston   

Total  area  actually  reporting   

Rale  per  100,000  inhabitants  

Appleton-Oshkosh-Neenah,  Wi. 

M.S.A 

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

Appleton   

Oshkosh  

Neenah  

Total  area  actually  reporting   . . . . . 

Rate  per  100.000  inhabitants  

Asheville,  N.C.  M.S.A 

(Includes  Buncombe  County.) 

City  of  Asheville   

Total  area  actually  reporting   

Estimated  total  

Rate  per  100,000  inhabitants  

Athens,  Clarke  County,  Ga.  M.S,A.  ... 
(Includes  Clarke,  Jackson,  Madison 
and  Oconee  Counties.) 
City  of  Athens— Clarke  County   . . 

Total  area  actually  reporting   

Rate  per  100,000  inhabitants  

Atlanta.  Ga.  M.S.A 

(Includes  Barrow,  Butts,  Cherokee, 
Clayton,  Cobb,  Cowetta.  De  Kalb, 
Douglas,  Fayette,  Forsyth,  Fulton, 
Gwinnett,  Henry,  Newton.  Paulding. 
Rockdale,  Spalding  and  Walton 
Counties.) 

City  of  Atlanta  

Total  area  actually  reporting  

Estimated  total 

Rate  per  100,000  inhabitants  

Atlantic  City,  NJ.  M.S.A 

(Includes  Atlantic  and 
Cape  May  Counties.) 

City  of  Atlantic  City   

Total  area  actually  reporting  . . . . . 

Rate  per  100,000  inhabitants  

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

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

City  of  Augusta.  Ga 

Total  area  actually  reporting   

Rate  per  100,000  inhabitants 


132,218 


60,165 

3,828 

100.0% 

5,625 

4,254.3 

148,329 

26,734 

2,229 

100.0% 

7,530 

5,076.6 

281,996 

110,449 

6,991 

100.0% 

19,143 

6.788.4 

117,421 

26,941 

3,043 

100.0% 

4,901 

4,173.9 

317,253 


66,543 

2,857 

55,717 

3,400 

23,519 

961 

100.0% 

11,853 

3,736.1 

177.676 

62,614 

6,642 

99.2% 

9,512 

100.0% 

9,629 

5,419.4 

159.745 


88,655 
100.0% 


2,897,359 


405,509 


45,636 
100.0% 


8,352 
10,779 
6,747.6 


403,085 

76,398 

98.3% 

237,771 

100.0% 

240,974 

8,317.0 

320.632 

38,132 

14,453 

100.0% 

32,840 

10,242,3 

374 
502 

379.7 


415 
1,130 
761.8 


613 
1,957 
694.0 


523 

854 

727.3 


25 

98 

60 

347 

109.4 


517 

681 

694 

390.6 


683 

824 

515.8 


5,569 
28,459 
7,018.1 


16,289 

28,376 

28,623 

987.9 


1,406 
2,819 
879.2 


579 
3.054 
753.1 


3,454 

5,123 

3,874.7 


1,814 
6,400 

4,314,7 


6,378 
17,186 
6,094,4 


2,520 

4,047 

3,446.6 


2,832 

3,302 

901 

11,506 

3,626.8 


6,125 

8,831 

8,935 

5,028.8 


7.669 

9,955 

6,231.8 


60,109 
209,395 
212,351 
7,329.1 


13,047 
30,021 
9,363.1 


4.990 
25,405 
6,265.0 


3 

8 

6.1 


3 
10 

6.7 


10 
3,5 


5 

8 

6,8 


13 

18 

18 

10,1 


9 

16 

10,0 


205 
374 
377 
13,0 


15 
29 
9,0 


19 

73 

18.0 


41 

45 

34.0 


25 

56 

37.8 


50 
254 
90.1 


21 

37 

31.5 


II 

4 

35 

11.0 


38 

56 

57 

32.1 


54 

60 

37.6 


638 
1,557 
1,574 

54.3 


82 
220 
68.6 


43 
168 
41.4 


III 
118 
89.2 


57 
135 
91.0 


148 
389 

137,9 


96 

126 

107,3 


4 
15 

2 

40 
12,6 


213 

233 

237 

133,4 


266 

286 

179.0 


6,479 
12,000 
12,104 

417.8 


636 

978 

305.0 


385 
1,086 
267.8 


219 

331 

250.3 


330 

929 

626.3 


413 
1,304 
462.4 


401 
683 

581.7 


20 

72 

54 

266 

83.8 


253 

374 

382 

215.0 


354 

462 

289.2 


8,967 
14,445 
14,568 

502.8 


673 
1,592 
496.5 


132 

1.727 
425.9 


641 
1.083 
819.1 


624 

2.150 

1,449.5 


1.251 

3,159 

1,120.2 


859 
'  1.303 
1,109.7 


488 

387 

137 

1,761 

555,1 


1,756 

2,869 

2,897 

1,630,5 


2,209 

2,897 

1,813,5 


13,861 
49,124 
49,858 
1,720,8 


1,737 

5.728 

1,786,5 


1,842 

8.895 

2,193.5 


2,684 

3,830 

2,896,7 


1,039 

3,750 

2,528,2 


4,725 
12,835 
4,551,5 


1,545 

2,556 

2,176,8 


2,291 

2,828 

735 

9.442 

2,976,2 


3.976 

5.349 

5.420 

3,050.5 


4.808 

6,281 

3.931,9 


35,237 
132,318 
134,230 
4.632,8 


10.754 
22,891 
7.139.3 


2.615 
14,105 
3,478.3 


129 

210 

158.i 


151 

500 

337.1 


402 
1,192 

422.7 


116 

188 

160.1 


53 

87 

29 

303 

95.5 


393 

613 

618 

347.8 


652 

777 

486.4 


11,011 

27,953 

28,263 

975.5 


556 
1,402 
437.3 


533 
2,405 
593.1 


See  footnotes  al  end  of  table. 


80 


Table  6. — Index  of  Crime,  Metropolitan  Statistical  Areas.  1991 — Continued 


Metropolitan  Statistical  Area 


Amora-Elgiii,  II.  M.S.A.'  

(Includes  Kane  and  Kendall 
Counties.) 
City  of: 

Aurora'  

Elgin' 

Total  area  actually  reporting   

Rale  per  100.000  inhabitants  

Austin,  Tx.  M.S.A 

{Includes  Hays.  Travis  and 
Williamson  Counties.) 

City  of  Austin  

Total  area  actually  reporting   

Rate  per  100.000  inhabitants 

BikersHeld,  Ca.  M.S.A 

(Includes  Kem  County.) 

City  of  Bakersfield   

Total  area  actually  reporting  

Estimated  total  

Rate  per  100,000  inhabitants  

Baltimore,  Md.  M.S.A 

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

City  of  Baltimore 

Total  area  actually  repotting   

Rate  per  100.000  inhabitants  

Bangor.  Me.  MSA 

(Includes  part  of  Penobscot  and 
Waldo  Counties.) 

City  of  Bangor  

Total  area  actually  reporting   

Rate  per  100.000  inhabitants  

Baton  Rouge.  La.  MSA 

(Includes  Ascension.  East  Baton 
Rouge.  Livingston  and  West  Baton 
Rouge  Panshes.) 

City  of  Baton  Rouge  

Total  area  actually  reporting  

Estimated  total  

Rate  per  100.000  inhabitants 

Battle  Creek,  Mi.  M.S.A 

(Includes  Calhoun  County.) 

City  of  Battle  Creek  

Total  area  actually  reporting   

Rate  per  100.000  inhabitants  

Beaumonl-Pon  Arthur,  Tx.  M.S.A 

(Includes  Hardin,  Jefferson  and 
Orange  Counties.) 
City  of: 

Beaumont    

Port  Arthur   

Total  area  actually  reporting   

Rate  per  100,000  inhabitants  

Beaver  Count),  Pa.  M.S.A 

(Includes  Beaver  County.) 

Total  area  actually  reporting   

Rate  per  100.000  inhabitants  

Bellingham,  Wa.  MSA 

(Includes  Whatcom  County) 

City  of  Bellingham   

Total  area  actually  reporting   

Estimated  total  

Rate  per  100.000  inhabitants 

Benton  Harbor,  Mi.  M.S.A 

(Includes  Bemen  County.) 

City  of  Benton  Harbor  

Total  area  actually  reporting   

Rale  per  100.000  inhabitants  

Bergen-Passaic,  NJ,  M.S.A 

(Includes  Bergen  and  Passaic 
Counties.) 

Total  area  actually  reporting   

Rate  per  100,000  inhabitants  


Population 


359,556 


99.990 

77,766 
100,0% 

798,240 


2,421,34: 


748,099 
100.0% 


66.952 


31.342 
100.0% 


532,268 


Cnme 
Index 
total 


475,558 

53,715 

100.0% 

69.722 

8.734.5 

554.792 

178.461 

14,169 

99,8% 

36,317 

100.0% 

36.394 

6.559.9 

235.453 

30,886 

94.7% 

44,699 

100.0% 

46.727 

8,778,8 

137,040 

53.958 

6.339 

100.0% 

9.826 

7,170.2 

368.926 


1,283,335 


100.0% 


85.068 
175.953 
7.266.8 


2.006 

2.894 

4.322.5 


116.762 

13.147 

69.363 

5.694 

100.0% 

27,250 

7.386.3 

186,567 

100.0% 

4.326 

2.318.7 

131.749 

53.801 

4.328 

98.1% 

7,068 

100.0% 

7,254 

5,505.9 

162,632 

12.918 

3.022 

100.0% 

12,235 

7,523.1 

54,935 
4.280,6 


Modified 
Crime 
Index 
total' 


Violent 
crime*' 


2,968 
4,046 
506.9 


1.710 
5,087 
5.097 
918.7 


19,032 
30,389 
1,255.0 


56 

79 

118.0 


5.452 

6.599 

6,845 

1,286.0 


922 
1,257 
917.3 


1,946 

913 

3.549 

962.0 


564 
302.3 


182 

411 

422 

320.3 


898 

1.816 

1,116.6 


5,057 
394,1 


Properly 
crime' 


6,173 

4,388 

16,510 

4,591.8 


50.747 
65.676 
8,227.6 


12.459 
31,230 
31,297 
5,641.2 


66.036 
145.564 
6.011,7 


1.950 

2.815 

4.204.5 


25.434 
38,100 
39,882 
7,492.8 


5.417 

8.569 

6,252.9 


11.201 

4,781 

23,701 

6,424.3 


3.762 
2,016.4 


4.146 

6.657 

6,832 

5,185.6 


2.124 
10.419 
6.406.5 


49.878 
3,886.6 


Murder 
and  non- 
negligenl 

man- 
slaughter 


20 

61 

61 

1 1.0 


304 
359 

14.8 


3.0 


58 

77 

79 

14.8 


12 

19 

13.9 


15 
II 
35 
9.5 


1 

3 

3 

2.3 


4 

8 

4.9 


41 
3.2 


Forcible 
rape 


276 
477 
59.8 


71 
267 
267 
48.1 


701 
1,243 
51.3 


9 

16 

23.9 


142 
204 
216 
40.6 


72 

147 

107.3 


94 

79 

227 

61,5 


31 
16.6 


35 

68 

70 

53.1 


54 

185 

113.8 


204 
15.9 


Robbery 


301 

122 

489 

136.0 


1.555 
1,717 
215.1 


615 
1,209 
1,213 
218.6 


10.770 
13.890 
573.6 


1,139 
1,358 
1,419 
266.6 


234 

277 

202.1 


691 

237 

1. 121 

303.9 


108 
57.9 


37 

51 

54 

41.0 


152 

262 

161. 1 


2.118 
165.0 


Aggra- 
vated 
assault 


514 

276 

946 

263.1 


1,791 
224.4 


1,004 
3,550 
3.556 
641.0 


7.257 
14,897 
615.2 


30 

43 

64.2 


4.113 
4,960 
5.131 
964,0 


604 

814 

594.0 


1.146 

586 

2,166 

587,1 


422 
226,2 


109 

289 

295 

223.9 


688 

1.361 
836.9 


2,694 
209.9 


Burglary 


1.687 

1.138 

4.029 

1,120.5 


11.591 
15,781 
1,977.0 


3.376 

9.310 

9,326 

1,681.0 


16,230 
33,109 
1.367.4 


349 

505 

754.3 


6,390 

9.734 

10,086 

1,894.9 


1,507 

2,440 

1,780.5 


3,580 

1,740 

7,385 

2.001.8 


864 
463.1 


568 
1.255 
1,285 
975.3 


2,763 
1.698.9 


9.397 
732.2 


Larceny- 
theft 


4.080 

3.052 

11,675 

3,247.1 


34,417 
44,257 
5,544,3 


7.887 
19.192 
19.232 
3.466.5 


39.213 
92.073 
3,802.6 


1.536 

2.215 

3,308.3 


16,026 
24,591 
25.853 
4.857.1 


3.503 

5.577 

4.069,6 


6.528 

2.432 

14,096 

3,820.8 


2,597 
1,392,0 


3.368 

5.052 

5.186 

3.936.3 


1.092 

7,112 

4.373.1 


31,617 
2.463.7 


Motor 
vehicle 
theft 


406 
198 
806 

224.2 


4.739 
5.638 
706.3 


1.196 
2.728 
2.739 
493.7 


10,593 

20,382 

841.8 


65 

95 

141.9 


3.018 
3.775 
3,943 
740.8 


407 

552 

402.8 


1,093 

609 

2.220 

601.7 


301 
161.3 


210 
350 
361 

274.0 


134 

544 

334.5 


8.864 
690.7 


footnotes  at  end  of  table 


81 


Table  6. — Index  of  Crime.  Metropolitan  Statistical  Areas,  1991 — Continued 


Metropolitan  Statistical  Area 


Population 


Cnme 
Index 
total 


Modified 
Cnme 
Index 
total' 


Violent 
crime- 


Property 
cnme^ 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


Billings.  Ml.  M.S.A 

(Includes  Yellowstone  County.) 

City  of  Billings  

Total  area  actually  reporting   

Rate  per  100,000  inhabitants  

Binghamlon.  N.Y.  M.S.A 

(Includes  Broome  and  Tioga 
Counties.) 

City  of  Binghamton   

Total  area  actually  reporting   

Rate  per  100.000  inhabitants  

Birmingham.  Al.  M.S.A 

(Includes  Blount.  JetTerson.  St,  Clair, 
Shelby  and  Walker  Counties,) 

City  of  Birmingham  

Total  area  actually  reporting   

Estimated  total   

Rate  per  100.000  inhabitants  

Bismarck.  N.D.  M.S.A 

(Includes  Burleigh  and  Morton 
Counties) 

City  of  Bismarck   

Total  area  actually  reporting   

Rate  per  100.000  inhabitants  

Bloominglon-Normal.  II.  M.S.A.'  

(Includes  McLean  County,) 
City  of 

Bloommgton^  

Normal   

Total  area  actually  reporting   

Estimated  total   

Rate  per  100,000  inhabitants  

Boise,  Id.  M.S.A 

(Includes  Ada  County,) 

City  of  Boise  

Total  area  actually  reporting   — , 

Rate  per  100,000  inhabitants  

Boston,  Ma.  M.S.A 

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

City  of  Boston    

Total  area  actually  reporting    

Estimated  total   

Rate  per  100,000  inhabitants  

Boulder-Longmonl,  Co.  M.S.A 

(Includes  Boulder  County,) 
City  of 

Boulder  

Longmont   

Total  area  actually  reporting   

Rate  per  100,000  inhabitants  

Bradenlon,  Fl.  M.S.A 

(Includes  Manatee  County.) 

City  of  Bradenton  

Total  area  actually  reporting   

Rate  per  100.000  inhabitants  

Brazoria,  Tx.  M.S,.\ 

(Includes  Brazoria  County,) 

Total  area  actually  reporting   

Rate  per  100,000  inhabitants  

Bremerton,  \Va.  M.S.A 

(Includes  Kitsap  County,) 

("ily  of  Bremerton  

Total  area  actually  reporting   

Rate  per  100,000  inhabitants  


114.786 


82,106 
100,0% 


266,353 


53,206 
100,0% 

918,821 


269,313 
98,4% 
100.0% 

83,33« 


48,962 
100,0% 


130,447 


52,482 
40.416 
99,2% 
100,0% 

212,418 

129.819 
100,0% 

2,874,833 


572,454 
80,2% 
100.0% 

230,964 


3,463 

3,901 

3,398,5 


2.589 

8,705 

3,268,2 


33.895 
60.243 
61,195 
6,660,2 


2,451 

3,430 

4,116.2 


7,216 

9,702 

4,567.4 


62,039 
135.328 
157.397 
5,475,0 


85.400 

6,653 

52.847 

3.043 

100.0% 

14.124 

6.115,2 

217,253 

44,926 

4,580 

100,0% 

17,180 

7,907,8 

195,792 

100,0% 

8.692 

4,439.4 

195,627 

39,327 

2,654 

100.0% 

8,996 

4.598,5 

94 

495 

185,8 


6,908 
10,237 
10,362 

1,127,7 


34 
61 

73,2 


455 

639 

300.8 


11,829 

21.541 

23.927 

832.3 


190 

217 
639 

276.7 


639 

2,302 

1,059,6 


810 

413,7 


298 

642 

328.2 


3,382 

3,807 

3,316.6 


2,495 

8,210 

3,082,4 


26,987 
50.006 
50.833 
5,532.4 


2.417 

3.369 

4,043.0 


2.61 1 
1.532 
5.577 
5.623 
4,310,6 


6,761 

9,063 

4,266,6 


50,210 
113.787 
133.470 
4.642.7 


6.463 

2.826 

13.485 

5.838.6 


3,941 
14,878 


7,882 
4,025,7 


2.356 

8.354 

4,270.4 


3 

3 

2.6 


139 
192 
193 
21.0 


15 


113 
152 
162 
5.6 


9 
4.6 


4 

8 

4.1 


9 

7.8 


29 
63 

23.7 


279 
433 
438 

47.7 


9 

14 

16.8 


61 

83 

39.1 


486 
781 
872 
303 


38 
117 
53.9 


44.9 


72 
158 
80.8 


34 

69 

25.9 


1.861 
2,627 
2,651 
288.5 


59 
15 
78 
79 
60.6 


46 

63 

29.7 


4,784 
7,104 
7,561 
263,0 


40 
29 
87 

37,7 


187 

493 

226,9 


129 
65.9 


67 
115 
58.8 


35 

44 

38,3 


29 

358 

134.4 


4,629 
6,985 
7,080 
770,6 


20 

39 

46.8 


177 

81 

292 

294 

225.4 


345 

490 

230.7 


6,446 
13,504 
15,332 

533,3 


136 

160 

458 

198.3 


412 
1. 68 1 

773.8 


584 
298,3 


155 

361 

184.5 


573 

644 

561.0 


287 
1,586 
595.5 


7,894 
14,343 
14,540 
1,582,5 


287 

401 

181.2 


535 

377 

1.309 

I.3I8 

1.010.4 


1,211 
1. 791 
843,1 


10.029 
25.397 
30.215 
1. 05 1.0 


918 

500 

2,422 

1.048.6 


1. 144 

4.493 

2,068,1 


1.860 
950,0 


430 
1.792 
916,0 


2.582 

2,915 

2,539,5 


2,141 

6,304 

2,366.8 


14,869 
29,051 
29,622 
3,223,9 


2.033 

2,834 

3,400,9 


2.001 
1. 106 
4.102 
4.135 
3,169.9 


5.212 

6.839 

3.219.6 


26.726 
63.056 
74.483 
2.590.9 


5.309 

2.218 

10.569 

4,576.0 


2.383 

9,208 

4.238,4 


5.193 
2.652,3 


1.735 

6.01 1 

3,072,7 


227 

248 

216.1 


67 

320 

1 20. 1 


4,224 
6,612 
6.671 
726.0 


97 

134 

160,8 


75 
49 
166 
170 
130.3 


338 

433 

203.8 


13.455 
25.334 
28.772 
1,000.8 


236 

108 

494 

213.9 


414 
1. 177 
541.8 


829 
423.4 


191 

551 

211.7 


See  footnotes  at  end  of  table. 


82 


Table  6. — Index  of  Crime.  Metropolitan  Statistical  Areas.  1991 — Continued 


Meiropolilan  Staiislical  Area 


Population 


Crime 
Index 
(oial 


Modified 
Cnme 
Index 
tolal' 


Vioienl 
cnme- 


Property 
cnme' 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robberv 


valed 
assault 


Burglar\ 


Larceny- 
Ihefl 


Motor 
vehicle 
theft 


Bridgepon-Milford,  Cl.  M.S.A 

(Includes  pan  of  Fairfield  and  New 
Haven  Counties.) 
City  of 

Bndgeport  

Milford  

Total  area  actually  reporting   

Rate  per  100.000  inhabitants  

Bristol,  Ct.  M.S.A 

(Includes  pad  of  Hartford  and 
Litchfield  Counties.) 

City  of  Bnstol 

Total  area  actually  reporting   

Rate  per  100.000  inhabitants  

BrockloD.  Ma.  M.S.A 

(Includes  part  of  Bristol. 
Norfolk  and  Plymouth  Counties.) 

City  of  Brockton   

Total  area  actually  reporting   

Estimated  total   

Rate  per  100.000  inhabitants  

Brownsvilje-Harllngen,  Tx.  M.S.A 

(Includes  Cameron  County.) 
Ciiv  of 

Brownsville  

Harlingen  

Total  area  actually  reporting   

Rate  per  100.000  inhabitants  

iryan-College  Station,  Tx.  M.S.A 

(Includes  Brazos  County.) 
City  of 

Br\an  

College  Station 

Total  area  actually  reporting   

Rale  per  100.000  inhabitants  

JufTalo,  N.V.  M.S.A 

(Includes  Ene  County.) 

City  of  Buffalo  

Total  area  actually  reporting   

Rate  per  100.000  inhabitants  

iurlington,  N.C.  M.S.A 

(Includes  Alamance  County.) 

City  of  Burlington 

Total  area  actually  reporting   

Estimated  total   

Rale  per  100.000  inhabitants  

ranloD.  Oh.  M.S.A 

(Includes  Canoll  and  Stark  Counties.) 

City  of  Canton  

Total  area  actually  reporting   

Estimated  total   

Rate  per  100.000  inhabitants  

"asper,  Wy.  M.S.A 

(Includes  Natrona  County.) 

City  of  Casper 

Total  area  actually  reporting   

Rate  per  100,000  inhabitants  

hampaign-Urbana-Raatoul.  II. 
•I.S.A.'   


(Includes  Champaign  County.) 
City  of: 

Champaign*   

Urbana'  

Rantoul'  

Total  area  actually  reporting   

Estimated  total   

Rate  per  100.000  inhabitants  .... 

harleston,  S.C.  M.S.A 

(Includes  Berkeley.  Charleston  and 
Dorchester  Counties.) 

City  of  Charleston  

Total  area  actually  reporting   

Rate  per  100.000  inhabitants  .... 


454,1 


i4i,9i: 

49,996 
100,0% 

72,546 


60,711 
100.0% 


198,108 


92,473 
83.1% 
100.0% 

265,666 


99,990 

49,775 
100.0% 

124,461 


174,722 


64,126 
36.701 
17,381 
99.4% 
100.0% 

517,519 


82,104 
100.0% 


17,388 

2,552 

28,162 

6,200.5 


2,594 

2,916 

4,019  5 


8,412 
10,226 
11,522 
5,816.0 


9,816 

4.514 

18,842 

7,092,4 


56,175 

4,739 

53,575 

2,262 

100.0% 

8,203 

6.590.8 

974.121 

329,353 

31.470 

100.0% 

55,452 

5,692.5 

109,410 

40,143 

2,651 

98.3% 

4,155 

100.0% 

4,318 

3,946.6 

397.433 

84.873 

6,607 

92.8% 

17,550 

100.0% 

18,416 

4,6337 

62,089 

47.402 

3,342 

100.0% 

4,058 

6,535.8 

2,860 

49 

3.298 

726.1 


298 
303 

417,7 


989 
1,197 
1.337 
674.9 


822 

405 

1.616 

608.3 


570 

100 

697 

560.0 


6,042 
8,280 
85O0 


316 

476 

493 

450.6 


928 
1,920 


498,7 


247 

316 

508.9 


7,579 
38,578 
7,454,4 


1,062 
5,033 

972,5 


14,528 

2,503 

24,864 

5,474.4 


2,296 

2,613 

3,601.9 


7,423 

9,029 

10,185 

5.141,1 


8,994 

4,109 

17,226 

6,484.1 


4,169 

2,162 

7,506 

6,030.8 


25,428 
47.172 
4.842,5 


2,335 

3,679 

3,825 

3,496.0 


5.679 
15.630 
16,434 
4,135,0 


3,095 

3,742 

6,026.8 


5,487 
1,878 
774 
10.614 
10.662 
6.102.3 


6.517 
33,545 
6,481-9 


51 
2 

58 
12,8 


35 
13,2 


50 
58 
6.0 


7,3 


II 
16 

16 
4,0 


7 

7 

4,0 


16 

59 

11,4 


82 

7 

126 

27,7 


6 
9 

124 


36 
44 
49 

24,7 


30,1 


57 

10 

71 

57,0 


319 
382 
39.2 


II 

31 

32 

29,2 


77 
124 
132 
33,2 


12 

16 

25,8 


30 

305 
58,9 


1,734 

26 

1,918 

422,3 


362 

385 

412 

208,0 


224 

57 

322 

121,2 


80 

19 

102 

82,0 


2.705 
3,035 
311,6 


52 

71 

76 

69,5 


470 

748 

766 

192.7 


189 
49 
12 
264 
265 
151,7 


308 
1,054 
203,7 


993 

14 

1,196 

263,3 


233 

234 

322,6 


578 

755 

862 

435,1 


549 

322 

1.179 

443,8 


427 

71 

518 

416,2 


2,968 
4,805 
493,3 


251 

366 

377 

344,6 


370 
1,032 
1.068 

268,7 


221 

283 

455,8 


439 
111 
30 
664 
666 
381,2 


708 
3,615 
698,5 


3,954 

396 

6,266 

1,379,6 


748 

855 

1,178,6 


2,342 

2,765 

3,048 

1,538,6 


2.428 

881 

5,284 

1,989,0 


1,161 

424 

1,857 

1,492,0 


8,462 
12.433 
1.276.3 


416 

874 

914 

835.4 


1.783 

4,164 

4.347 

1.093.8 


734 

939 

1.512.3 


1,242 

528 

132 

2,571 

2,580 

1,476,6 


1,215 

8,272 

1,598,4 


4,691 

1,631 

10,919 

2,404, 1 


1,308 

1,483 

2,044,2 


2,437 

3,281 

3,952 

1.994,9 


5,590 

2,794 

10,345 

3,894,0 


2,771 

1.595 

5,227 

4,199,7 


12,527 
28,276 
2,902,7 


1.804 

2,623 

2,722 

2,487,9 


3,285 
10,051 
10,609 
2.669,4 


2,242 

2,650 

4,268,1 


3,949 

1.300 

613 

7,600 

7,634 

4,369,2 


4,580 
22,148 
4,279,6 


5,883 

476 

7,679 

1,6907 


240 

275 

379,1 


2,644 

2,983 

3,185 

1,607,7 


976 

434 

1,597 

601,1 


237 
143 

422 
339,1 


4.439 
6,463 
663,5 


115 
182 
189 

172,7 


611 
1,415 
1,478 
371,9 


119 

153 

246,4 


296 

50 

29 

443 

448 

256,4 


722 
3,125 
603,8 


ee  footnotes  at  end  of  table. 


83 


Table  6. — Index  of  Crime,  Metropolitan  Statistical 

Areas,  1991— Continued 

Metropolitan  Statistical  Area 

Population 

Cnme 
Index 
total 

Modified 
Cnme 
Index 
total' 

Violent 
cnmc- 

Properly 
crime^ 

Murder 
and  non- 
negligent 

man- 
slaughter 

Forcible 
rape 

Robbery 

Aggra- 
vated 
assault 

Burglary 

Larceny- 
theft 

Motor 
vehicle 
theft 

Arson' 

Charleslod.  W,V,  M,S,A 

(Includes  Kanawha  and  Putnam 
Counties.) 
City  of  Charleston                 

250.912 

57.646 
100.0% 

1.181.897 

402.618 
55,626 
42,518 
99.6% 
100.0% 

133.196 

40.984 
100.0% 

440.238 

154.835 
96.8% 
100.0% 

74,208 

50.748 
100.0% 

6.084,106 

2,811,478 
99.9% 
100.0% 

185.911 

40.913 
100,0% 

1.465.064 

367,123 
93.9% 
100.0% 

171.517 

76,667 
30.033 
100.0% 

1.846,598 

509.898 
87.1% 
100,0% 

6.837 
11.186 
4.458.1 

50.902 
7,146 
4,708 
94,563 
94,976 
8,035.9 

2,656 

5,386 

4,043.7 

19,610 

27,763 
28,340 
6,437.4 

3,201 

3,750 

5,053.4 

3,063 

8,939 

4,808.2 

35,693 
79,233 
83,064 
5,669,6 

5,774 

1,745 

9,149 

5,334,2 

45,610 
80,573 
89,610 

4,8527 

699 
934 

372.2 

8.762 

894 

858 

13.657 

13.700 

1.159.2 

267 

405 

304.1 

3,398 
4,083 

4,144 
941.3 

98 
176 

237,2 

162 

852 

458.3 

5,794 
9,216 
9,480 
647,1 

1,403 

231 

1,898 

1,106,6 

9,341 
11,722 
12,359 

669,3 

6,138 
10,252 
4,085.9 

42.140 
6.252 
3,850 

80,906 

81,276 
6,876,7 

2,389 

4,981 

3,739.6 

16,212 
23,680 
24,196 
5,496,1 

3,103 

3,574 
4,816,2 

231,318 
374,034 
374,208 
6,150.6 

2.901 

8,087 

4,349.9 

29.899 
70,017 
73,584 
5.022.6 

4,371 

1,514 

7,251 

4,227.6 

36.269 
68,851 
77,251 
4,183.4 

12 

25 

10.0 

114 
8 
6 
178 
178 
15.1 

5 

8 

6.0 

49 

60 

61 

13.9 

4 
4 

5.4 

925 
1,027 
1,027 

16.9 

2 
11 
5.9 

54 
69 
71 
4,8 

11 

3 

19 

11.1 

175 
213 
219 
11,9 

46 

78 

31.1 

409 
19 
34 
614 
616 
52.1 

26 
46 

34,5 

163 

213 
217 
49.3 

13 

24 
32.3 

39 

94 

50.6 

478 
837 
862 
58.8 

52 
8 

72 
42.0 

913 
1.113 
1,180 

63,9 

264 

318 

126.7 

2.899 
254 
160 
3.870 
3.883 
328.5 

75 

94 

70.6 

961 
1,056 
1,065 
241.9 

19 

23 

31.0 

43.783 

47.398 

47.403 

779.1 

39 
123 
66.2 

2.315 
3.095 
3,160 
215,7 

86 

36 

139 

81.0 

5,132 
6,210 
6,398 
346,5 

377 

513 

204.5 

5.340 
613 
658 
8.995 
9,023 
763.4 

161 

257 
192.9 

2.225 
2.754 
2,801 
636.2 

62 

125 

168.4 

42,237 

47,500 

47,508 

780.9 

82 

624 

335.6 

2,947 
5,215 
5,387 
367,7 

1,254 

184 

1,668 

972.5 

.3,121 
4,186 
4,562 
247.0 

1.365 
2,496 
994.8 

11.615 
1.883 
994 
24.407 
24.508 
2.073.6 

338 

828 

621.6 

4.331 

6,407 

6,551 

1,488.1 

304 

415 

559,2 

52,234 
77,590 
77,623 
1,275,8 

672 

2,439 

1,311.9 

8.489 
16.117 
16,773 
1,144,9 

1,084 

425 

1,968 

1,147.4 

10.151 
15.926 
17,519 
948.7 

4,354 

6,972 

2,778,7 

27,799 
4,106 
2,637 
51,866 
52,117 
4,409,6 

1,948 

3,943 

2,960.3 

9.099 
13.841 
14.176 
3.220.1 

2.714 

3.036 

4.091,2 

131.688 
232.709 
232.833 
3,826,9 

1.973 

5,017 

2,698.6 

19,285 
49,815 
52.425 
3.578,3 

3,044 

1,039 

4,909 

2,862,1 

15,485 
37,104 
43,216 
2,340.3 

419 

784 

312,5 

2,726 
263 
219 
4,633 
4,651 
393,5 

103 

210 

157,7 

2,782 
3,432 
3,469 
788.0 

85 

123 

165.8 

47.396 
63.735 
63.752 
1.047.8 

256 

631 

339.4 

2,125 
4,085 
4,386 
299,4 

243 

50 

374 

218,1 

10,633 
15,821 
16,516 
894,4 

Rate  per  100  000  inhabitants 

Charlotte-Gastonia-Rock  Hill. 

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

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

Charlotte.  N.C 

Gaslonia.  N.C 

Rock  Hill.  S.C 

Charlottesville.  Va.  M,S.A 

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

Rate  per  100  000  inhabitants  

Chattanooga.  Tn.-G«.  M,S.A 

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

Rale  per  100  000  inhabitants    

Cheyenne.  Wy.  M,S,A 

(Includes  Laramie  County.) 

Total  area  actually  reporting        .  .    . 

Rate  per  100.000  inhabitants  

Chicago,  n.  M.S.A.'  

(Includes  Cook.  Du  Page  and 
McHenry  Counties.) 
City  of  Chicago^     

Estimated  total 

Chico,  Ca.  M.S,A 

(Includes  Butte  County.) 

Total  area  actually  reporting         ...  . 

Rate  per  100.000  inhabitants  

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

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

Rate  per  100.000  inhabitants    .... 

Clarksville-Hopkinsville.  Tn.-Ky,  M.S.A,   ,. 

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

Hopkinsville   Ky 

Rate  per  100.000  inhabitants  

Cleveland,  Oh,  M.S,A 

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

Total  area  actually  reporting 

Estimated  total   

Rate  per  100.000  inhabitants  

See  footnotes  at  end  of  table. 


84 


Table  6. — Index  of  Crime,  Metropolitan  Statistical  Areas,  1991 — Continued 


Metropolitan  Statistical  Area 


Population 


Crime 
Index 
total 


Modified 
Cnme 
Index 
total' 


Violent 
cnme- 


Propeny 
cnme' 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


Colorado  Springs,  Co.  M.S.A 

(Includes  El  Paso  County.) 

City  of  Colorado  Springs  

Total  area  actually  reporting   . . . . 

Rate  per  100.000  inhabitants  .... 

Columbia,  S.C.  M.S.A 

(Includes  Lexington  and  Richland 
Counties) 

City  of  Columbia  

Total  area  actually  reporting   .... 

Rate  per  100,000  inhabitants  .... 

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

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

City  of  Columbus,  Ga 

Total  area  actually  reporting   

Rate  per  100,000  inhabitants  ,... 

Columbus.  Oh.  M.S.A 

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

City  of  Columbus   

Total  area  actually  reporting   .... 

Estimated  total   

Rate  per  100,000  inhabitants  .... 

Corpus  Christi,  Tx.  M.S.A 

(Includes  Nueces  and  San  Patncio 
Counties.) 

City  of  Corpus  Christi   

Total  area  actually  reporting   

Rale  per  100.000  inhabitants  ..  . 

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

(Includes  Allegany  County.  Md., 
and  Mineral  County,  W.V.) 

City  of  Cumberland.  Md 

Total  area  actually  reporting   . . . . 

Rate  per  100,000  inhabitants  .... 

Dallas,  Tx.  MSA 

(Includes  Collin.  Dallas.  Denton. 
Ellis,  Kaufman  and  Rockwall 
Counties-I 

City  of  Dallas  

Total  area  actually  repotting   .... 

Rale  per  100,000  inhabitants  ,.,. 

Danbury,  CI,  MSA 

(Includes  part  of  Fairfield  and 
Litchfield  Counties.) 

City  of  Danbury  

Total  area  actually  reporting     . . . 

Rate  per  100.000  inhabitants  .... 

Danville,  Va.  M.S.A 

(includes  Pittsylvania  County  and 
Danville  City.) 

City  of  Danville  

Total  area  actually  reporting    . . . . 

Rate  per  100.000  inhabitants    ... 

DaytoD-SpringTield,  Oh.  M.S.A 

(Includes  Clark,  Greene,  Miami 
and  Montgomery  Counties.) 

City  of: 

Dayton  

Spnngfteld  

Total  area  actually  reporting   .... 

Estimated  total   

Rate  per  100,000  mhabiUnls  .... 

Diytona  Beach,  FL  M.S.A 

(Includes  Volusia  County.) 

City  of  Daytona  Beach  

Total  area  actually  reporting   

Rate  per  100,000  inhabitants  ..,, 


406,964 

288.188 
100.0% 

463,280 


99,990 
100.0% 


248,015 


183,284 
100.0% 

!,389J27 


638,533 
86.0% 
100.0% 

358,271 


262,947 
100.0% 


102.982 


24,095 
100,0% 

2,513,093 


1.028.362 
100.0% 

162,754 


65,662 
100.0% 


1 10.441 


53.901 
100.0% 

959,878 


21.444 
25,243 
6,202.8 


13.163 
33.922 
7,322.1 


11,365 
14,619 
5.894,4 


64,778 
90.103 
97.036 
6,984.4 


27.459 
31,119 
8,685.9 


1.409 

2.960 

2,874.3 


154,929 
252,297 
10.039.3 


3,669 

5.713 

3,5102 


2.564 

3.590 

3.250.6 


183.585 

21.602 

71,084 

7.656 

98.1% 

55.252 

100.0% 

56.049 

5.839.2 

380,422 

63,543 

9.271 

100.0% 

28.075 

7.380.0 

1,385 
1,719 
422.4 


2.033 

5,322 

1,148.8 


934 
1,589 
640,7 


7,221 
9,520 
10,014 
720.8 


2.168 
2.498 
697.2 


187 

345 

335,0 


26.411 
33,515 
1.333.6 


262 
161.0 


169 

249 

225.5 


3.558 
1.449 
6.591 
6,645 
692.3 


1.535 
3.469 
911.9 


20,059 
23.524 
5.780,4 


11,130 
28,600 
6,173.4 


10,431 
13.030 
5.253,7 


57,557 
80583 
87,022 
6,263.6 


25.291 
28,621 
7,988.6 


1,222 

2,615 

2,539.3 


128,518 
218.782 
8.705.7 


3,461 

5,451 

3,349.2 


2.395 

3.341 

3.025.1 


18.044 
6,207 
48.661 
49,404 
5.146.9 


7,736 
24,606 
6,468.1 


25 

50 

108 


23 

28 

11.3 


138 
145 
149 
107 


32 

37 

103 


500 
600 
23.9 


7 

10 
9.1 


13 
28 

7.4 


231 
249 
61.2 


119 
401 
86.6 


71 
105 
42.3 


650 
876 
930 
66,9 


204 
213 
59.5 


9 

23 

22.3 


1.208 

1,795 
71.4 


20 

35 

21,5 


12 
30 

272 


316 
97 
685 
690 
71,9 


79 
206 
54,2 


387 

416 

102.2 


687 
1.499 
323.6 


394 

453 

182.7 


3,747 
4,366 
4,512 
324,8 


595 
625 

174.4 


II 

19 

18.4 


11.254 
13,017 
518.0 


59 

66 

40.6 


50 

60 

54.3 


1,677 
334 
2,472 
2,488 
259.2 


463 

947 

248.9 


742 
1,025 
251.9 


1.202 
3,372 
7279 


446 
1.003 
404.4 


2.686 
4.133 
4.423 
318.4 


1,337 
1,623 
4530 


167 

302 

293.3 


13,449 
18,103 
7203 


127 
156 
95,9 


100 

149 

134,9 


1,511 
1,009 
3,351 
3.384 
352,5 


980 
2,288 
601.4 


3.865 

4.903 

1,204,8 


2,145 

6,789 

1.465.4 


2.377 

3,102 

1,2507 


16.398 
21.191 
22.473 
1.6175 


5.829 

7,050 

1,967,8 


255 

630 

611,8 


31.513 
53.191 
2.116,6 


598 
1,063 
653.1 


370 

597 

540.6 


4.808 

934 

10.460 

10.586 

1.102.8 


2,494 

7,810 

2.053,0 


15.000 
17,256 
4,240,2 


7.912 


18,882 
4,075.7 


7,373 

9,088 

3,664,3 


32,983 
49.812 
54,443 
3.918,7 


17,916 
19,852 
5,541,1 


943 

1,905 

1,849.8 


71,920 
132.228 
5.261,6 


2,560 

3.966 

2.436,8 


1.944 

2.609 

2,362.3 


9,906 
4.779 
32.334 
32.888 
3,426.3 


4,500 
15,119 
3.974,3 


1,194 
1,365 
335,4 


1.073 
2.929 
632,2 


681 

840 

338.7 


8.176 
9.580 
10,106 

727.4 


1.546 
1.719 
4798 


24 

80 

77.7 


25.085 
33.363 
1,327.6 


303 

422 
2593 


81 
135 

122.2 


3.330 
494 
5.867 
5.930 
617.8 


742 
1.677 
440.8 


See  footnotes  at  end  of  table. 


85 


Table  6. — Index  of  Crime,  Metropolitan  Statistical  Areas,  1991 — Continued 


Metropolitan  Statistical  Area 


Population 


Cnme 
Index 
total 


Modified 
Crime 
Index 
total' 


Violent 
cnme- 


Property 
cnme' 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


Decatur.  Al.  M.SA 

(Includes  Lawrence  and  Morgan 
Counties.) 

City  of  Decatur    

Total  area  actually  reporting  

Estimated  total 

Rale  per  100.000  inhabitants  

Deoitur.  IL  MSA.'  

(Includes  Macon  County.) 

City  of  Decatur"  — 

Total  area  actually  reporting   

Estimated  total   

Rate  per  100,000  inhabitants  

Denver.  Co.  MSA 

(Includes  Adams,  Arapahoe.  Denver. 
Douglas  and  JefTer^on  Counties.) 

City  of  Denver 

Total  area  actually  reporting   

Rate  per  100,000  inhabitants  

Detroit,  Mi.  MSA 

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

City  of  Detroit   

Total  area  actually  reporting   

Estimated  total   

Rate  per  100.000  inhabitants  

Dothan,  Al.  M.S.A 

(Includes  Dale  and  Houston 
Counties.) 

City  of  Dolhan  

Total  area  actually  reporting  

Estimated  total   

Rate  per  100,000  inhabitants  

Dululh,  Mn.-WL  MSA 

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

City  of  Duluth,  Mn 

Total  area  actually  reporting   

Rate  per  100.000  inhabitants  

EauCUure.  Wi.  MSA 

(Includes  Chippewa  and  Eau  Claire 
Counties.) 

City  of  Eau  Claire   

Total  area  actually  reporting   

Rate  per  100.000  inhabitants  

Ellthart-Goshen,  In.  MSA 

(Includes  Elkhart  County.) 
City  of: 

Elkhart  

Goshen  

Total  area  actually  reporting   

Rate  per  100,000  inhabitants  

Elmira,  N.Y.  M.S.A 

(includes  Chemung  County.) 

City  of  Elmira  

Total  area  actually  reporting   

Estimated  total   

Rate  per  100,000  inhabitants  

El  Paso,  Tx.  M.S.A 

(Includes  El  Paso  County.) 

City  of  El  Paso    

Total  area  actually  reporting   

Rate  per  100,000  inhabitants  

Enid.  Ok.  MSA 

(Includes  Garfield  County.) 

City  of  Enid  

Total  area  actually  reporting  

Rale  per  100,000  inhabitants  

Erie,  Pa.  M.S.A 

(Includes  Ene  County.) 

City  of  Ene  

Total  area  actually  reporting   

Rate  per  100.000  inhabitants  


132,314 


49,345 
99.4% 
100.0% 

118,355 

84,709 
99.2% 
100.0% 

1,656,234 


479.468 
100.0% 

4,419,037 


1.036,246 
97.6% 
100.0% 

132,525 


54,230 
98.9% 
100.0% 

243,080 


86,605 
100.0% 


139,317 


57,590 
100.0% 


158,052 


3.556 

5.171 

5.222 

3.946.7 


36.558 
109,655 
6,6207 


127.080 
305.692 
311.823 
7,056.4 


6.211 

7.898 

7.995 

6.032.8 


4,886 
10,275 
4,227.0 


3.027 

5.163 

3.705.9 


44,145 

3,889 

24,079 

1,307 

100.0% 

7,583 

4,797.8 

95,549 

33.850 

2.303 

87.8% 

4.141 

100.0% 

4.594 

4.808.0 

604,234 

526,339 

50.684 

100.0% 

54.002 

8.937.3 

57,264 

45,732 

3.612 

100.0% 

3.777 

6.595.8 

277,406 

109,444 

5,815 

100.0% 

9,957 

3,589.3 

289 

486 

492 

371.8 


5,034 
12,092 
7301 


28.262 
43.716 
44.242 
1.001.2 


790 
1.093 
1.106 
834.6 


273 

439 

180.6 


83 

152 

109.1 


169 

139 

750 

474.5 


118 

257 

297 

310.8 


5.616 
5.992 
991.7 


403 

407 

7107 


814 
1.038 
374.2 


3,267 

4.685 

4.730 

3.574.8 


4.764 

5.431 

5.475 

4.625.9 


31,524 
97,563 
5,890.7 


98.818 
261,976 
267,581 
6,055.2 


5.421 

6.805 

6.889 

5.198.3 


4,613 

9,836 

4,046.4 


2,944 

5,011 

3.596.8 


3.720 

1,168 

6,833 

4,323.3 


2.185 

3.884 

4.297 

4,497.2 


45.068 
48.010 
7.945.6 


3,209 

3,370 

5,885.0 


5,001 

8,919 

3,215,1 


4 

6 

6 

4.5 


6 

6 

6 

5.1 


121 

7.3 


615 
740 
744 
16.8 


3 

I 

7 

4.4 


49 
59 
9.8 


7 

8 

2,9 


12 

22 

22 

16.6 


427 
897 

54.2 


1,427 
3.037 
3.087 
69.9 


43 

55 

56 

42.3 


25 
60 

24.7 


40 

II 

72 

45.6 


10 

21 

23 

24.1 


265 
290 
48.0 


43 

43 

75.1 


96 
148 
53.4 


169 

175 

176 

148.7 


1.635 
2.749 
166.0 


13.569 
17,239 
17,363 
392.9 


93 
115 
117 
88.3 


56 

75 

30.9 


II 

16 

11.5 


87 

9 

117 

74.0 


38 

46 

58 

60.7 


1,484 
1.528 
252.9 


25 

25 

43.7 


335 

370 

133.4 


182 
364 
369 

278.9 


481 

496 

498 

420.8 


2,884 
8,325 
502.6 


12.651 

22.700 

23.048 

521.6 


648 

912 

922 

695.7 


189 

298 

122.6 


70 
118 
84.7 


39 

118 

554 

350.5 


69 


215 
225.0 


3.818 
4.115 
681.0 


333 

337 
588.5 


376 

512 

184.6 


701 
1.197 
1.208 
913.0 


1,135 

1,277 

1,285 

1,085.7 


9.180 
22.128 
U336.0 


26.059 
53,524 
54,472 
1,232.7 


1.024 

1.352 

1.372 

1.035.3 


877 
2..227 
916.2 


546 

924 

663.2 


631 

143 

1.395 

882.6 


389 

742 

821 

859.2 


9,087 

9,929 

1,643.2 


919 

990 

1,728.8 


1,158 
2,049 
738.6 


2,376 

3.216 

3.247 

2.454.0 


3.481 

3.994 

4.026 

3.401.6 


16,530 
65,223 
3,938.0 


44.019 
159.608 
163.669 
3.703.7 


4.259 

5,251 

5,309 

4,006.0 


3.443 

6.966 

2.865.7 


2.314 

3.925 

2,817.3 


2,955 

982 

5.178 

3.276.1 


1.749 

3.071 

3.367 

3.523.8 


30.457 
32.305 
5.346.4 


2.173 

2.259 

3.944.9 


3,413 

6,233 

2.246.9 


190 

272 

275 

207.i 


14 

160 

164 

138.6 


5.814 
10.212 
616.6 


28.740 
48.844 
49,440 
1,118,8 


138 

202 

208 

157,0 


293 

643 

264.5 


84 

162 

116.3 


134 

43 

260 

164.5 


47 

71 

109 

1 14.1 


5.524 
5.776 
955.9 


117 

121 

211.3 


430 

637 

229.6 


See  footnotes  at  end  of  table. 


R6 


Table  6. — Index  of  Crime,  Metropolitan  Statistical  Areas,  1991 — Continued 


Melropolilan  Statistical  Area 


Population 


Cnme 
Index 
total 


Modified 
Crime 
Index 
total' 


Violent 
crime- 


Property 
crime' 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


Eugene-Springfield,  Or.  M.SA 

(Includes  Lane  County.) 
City  of: 

Eugene    

Spnngfield  

Total  area  actually  reporting   

Rale  per  100.000  inhabitants  

E»«osville,  lo.-Ky.  M.S.A 

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

City  of  Evansville,  In 

Total  area  actually  reporting   

Estimated  total   

Rale  per  100.000  inhabitants 

Fall  River,  Ma.R.l.  MSA 

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

City  of  Fall  River,  Ma 

Total  area  actually  reporting   

Rate  per  100.000  inhabitants  

Fayetteville,  N.C.  M.Sj^ 

(Includes  Cumberland  County.) 

City  of  Fayetteville  

Total  area  actually  reporting   

Rate  per  100,000  inhabitants  

Fayettevijle-Springdale,  Ar.  M,S,A 

(Includes  Washington  County.) 
City  of 

Fayetteville  

Springdale  

Total  area  actually  reporting   

Rale  per  100.000  inhabitants  

Fitchburg-Leominster,  Ma.  M.S,A 

(Includes  pan  of  Middlesex  and 
Worcester  Counties.) 
City  of 

Filchburg  

Leominster   

Total  area  actually  repotting   

Estimated  total   , 

Rate  per  100.000  inhabitants 

Flint,  ML  M,S,A 

(Includes  Genesee  County.) 

City  of  Flint    

Total  area  actually  reporting   

Estimated  total   

Rate  per  100,000  inhabitants  

Florence,  Al.  M.S.A 

(Includes  Colbert  and  Lauderdale 
Counties.) 

City  of  Florence  

Total  area  actually  reporting    

Estimated  total   

Rate  per  100.000  inhabitants  

Florence,  S,C.  M,S.A 

(Includes  Florence  County.) 

City  of  Florence 

Total  area  actually  reporting   

Rate  per  100.000  inhabitants  

Fort  Lauderdale-HoIIyivood-Pompano 

Beach,  FL  M.S.A 

(Includes  Broward  County.) 
City  of 

Fort  Lauderdale  

Hollywood  

Pompano  Beach  

Total  area  actually  reporting    

Rate  per  100.000  inhabitants  


290,837 


115.827 
45,935 
100.0% 

282,111 


127.772 
76.7% 
100,0% 

156,805 


92.388 
100.0% 

279,053 

76.932 
100.0% 

114,431 


42,479 
30.211 
100.0% 

102,446 


41.054 
38.015 
85.1% 
100.0% 

433,729 

141,861 
98.9% 
100.0% 

132,895 


1,288.381 


153,292 
124,886 
74,308 
100.0% 


9,052 

3.436 

16,095 

5.5.34.0 


7.658 
11.691 
14,212 
5,037.7 


5,958 
7,429 

4,737.7 


10.580 
25,247 
9,047.4 


3.223 

1.757 

6.168 

5,3901 


1,565 
1,707 
3,373 
3.963 
3.868.4 


18.888 
33.270 
33.544 
7,733.9 


36,862 

2.253 

99,4% 

4.527 

100.0% 

4,579 

3.445.6 

116,744 

30,439 

3.542 

100,0% 

8.421 

7.213,2 

24.334 
12,621 
9,317 
109,697 
8,514.3 


379 
233 


298.4 


788 
1,470 
1,650 
584.9 


685 

792 

505.1 


1.513 
2,699 
967,2 


112 

65 

249 

217.6 


239 
177 
419 
482 
470.5 


3.363 

4.716 

4,740 

1.092.8 


286 

420 

426 

320.6 


553 

1.281 

1.097,3 


2.178 
1.003 
1.712 
11.704 
908.4 


8,673 

3,203 

15,227 

5.235.6 


6.870 
10,221 
12,562 
4,452.9 


5,273 

6,637 

4,232.6 


9.067 
22.548 
8,0802 


3.1 1 1 

1.692 

5.919 

5,172.5 


1,326 
1,530 
2,954 
3,481 
3,397.9 


15.525 
28.554 
28,804 
6.641.0 


1.967 

4,107 

4,153 

3,125.0 


2,989 

7,140 

6,115.9 


22,156 
11.618 
7,605 
97,993 
7,605.9 


5 
I 

II 
9.6 


52 

61 

61 

14.1 


2 

12 

10,3 


27 
7 
6 

97 
7.5 


59 
40 
140 

48,1 


62 

68 

43,4 


72 
186 
66,7 


20 


43 
37.6 


23 
12 
35 
37 
36.1 


151 
330 
332 

76.5 


12 

21 

21 

15.8 


104 
89.1 


104 

39 

3 

460 

35.7 


186 

48 

268 

92,1 


139 
178 
212 
75,1 


190 
121.2 


523 

879 

315,0 


14 

10 

29 

25,3 


56 
17 
73 
85 
83,0 


915 
1,190 
1.196 

275,7 


31 

59 

60 

45,1 


132 

242 

207.3 


1.146 

499 

501 

4.476 

347.4 


134 

145 

456 

156,8 


592 
I.2II 
1.337 
473,9 


451 

528 

336,7 


895 
1,588 
569.1 


73 

46 

166 

145.1 


160 
147 
310 
359 
350.4 


2.245 
3.135 
3.151 
726.5 


243 

339 

344 

258.9 


397 

923 

790.6 


901 

458 

1.202 

6,671 

517.8 


1.629 

646 

3.300 

1.134.7 


1,638 
2,234 
2,772 
982.6 


1.374 

1,745 

1.112,8 


2,623 

7,161 

2,566.2 


493 

319 

1,206 

1.053.9 


444 
307 
784 
913 
891,2 


5.071 

8.127 

8,169 

1,883,4 


395 

957 

968 

728.4 


674 

2.147 

1,839.1 


6,208 

2,347 

2,450 

23,690 

1,838,7 


6,630 

2,374 

11,079 

3,809.4 


4,776 

7,367 

8,969 

3,179.2 


2,909 

3,732 

2,380.0 


5.769 
13,707 
4,912.0 


2,401 
1,287 
4,318 

3,773.5 


608 

1.054 

1,722 

2,028 

1,979.6 


8,304 
17,290 
17,471 
4,028.1 


1,523 
2.995 
3,027 

2,277.7 


2,141 

4.502 

3,856.3 


13,765 
8,004 
4,272 

63,758 
4,948.7 


414 
183 


291.6 


456 

620 

821 

291.0 


990 
1,160 
739.8 


675 
1.680 
602.0 


217 

86 

395 

345.2 


274 
169 
44g 
540 
527.1 


2,150 
3,137 
3,164 
729.5 


49 

155 

158 

1 18.9 


174 

491 

420.6 


2.183 

1.267 

883 

10,545 

818.5 


fSee  footnotes  al  end  of  table. 


87 


Table  6. — Index  of  Crime,  Metropolitan  Statistical  Areas,  1991 — Continued 


Metropolitan  Statistical  Area 


Population 


Crime 
Index 
total 


Modified 
Crime 
Index 
total' 


Violent 
crime- 


Property 
crime' 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


Fort  Pierce,  Fl.  M.S.A 

(Includes  Martin  and  St.  Lucie 
Counties.) 

City  of  Fort  Pierce  

Total  area  actually  reporting    

Rate  per  100,000  inhabitants  

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

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

City  of  Fort  Smith,  Ar 

Total  area  actually  reporting    

Rate  per  100,000  inhabitants  

Fori  Wayne,  in.  M.S.A 

(Includes  Allen,  De  Kalb  and 
Whitley  Counties.) 

City  of  Fort  Wayne  

Total  area  actually  reporting   

Estimated  total   

Rate  per  100,000  inhabitants  

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

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

Fort  Worth  

Arlington 

Total  area  actually  reporting   

Rate  per  100.000  inhabitants  

Fresno,  Ca.  M.S^ 

(Includes  Fresno  County.) 

City  of  Fresno 

Total  area  actually  reporting   

Rate  per  100.000  inhabitants  

Gadsden,  Al.  M.S.A 

(Includes  Etowah  County.) 

City  of  Gadsden  

Total  area  actually  reporting   

Rate  per  100.000  inhabitants  

Gainesrille,  Fl.  M.S.A 

(Includes  Alachua  and  Bradford 
Counties.) 

City  of  Gainesville  

Total  area  actually  reporting   

Rate  per  100.000  inhabitants  

Galveston-Texas  City,  Tx.  M.S.A 

(Includes  Galveston  County.) 
City  of; 

Galveston   

Texas  City   

Total  area  actually  reporting   

Rate  per  100.000  inhabitants  

Gary-Hammond,  In.  M.S.A 

(Includes  Lake  and  Porter  Counties.) 
City  of: 

Gary   

Hammond  

Total  area  actually  reporting   

Estimated  total   

Rate  per  100.000  inhabitants  

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

(Includes  Warren  and  Washington 
Counties.) 

City  of  Glens  Falls  

Total  area  actually  reporting   

Rate  per  100.000  inhabitants  

Grand  Forks,  N.D.  M.S.A 

(Includes  Grand  Forks  County.) 

City  of  Grand  Forks   

Total  area  actually  reporting   

Estimated  total 

Rate  per  100.00  inhabitants  


257,648 


37.795 
100.0% 


177,507 


73.456 
100.0% 


368,129 


175.128 
86.7% 
100.0% 

1,447,991 


209,455 


86.991 
100.0% 


222,033 


60.330 
41.693 
100.0% 

611,697 


118,031 
85.236 
89.0% 
100.0% 

118,977 


5.194 
15,511 
6.020.2 


6.844 

8.985 

5.061.8 


17,104 
20,411 
22,280 
6,052.2 


457,171 

77.595 

267,306 

25.341 

100.0% 

146.875 

10.143.4 

681,389 

361.580 

43,503 

100.0% 

62,004 

9,099.6 

100,587 

43.032 

5.105 

100.0% 

6.542 

6,503.8 

9,020 
19,812 
9.458.8 


7.799 

4.350 

18.586 

8.370.8 


11.706 
8.017 
33,919 
36,702 
6.000.0 


15.079 

1.052 

100.0% 

4,223 

3,549.4 

70,260 

49.130 

2,594 

97.7% 

3,110 

100.0% 

3,192 

4.543.1 

865 
1,728 
670.7 


647 

783 

441.1 


1.098 
1.234 
1.366 
371.1 


8.914 
2.108 
14.368 
992  3 


4.608 

6.959 

1.021.3 


811 

943 

937.5 


1.209 

2.413 

1.152.0 


1.004 

302 

1.829 

823.8 


2,340 
1,152 
5,510 
5,705 
932.7 


267 

507 

426.1 


58 

83 

84 

119.6 


4.329 
13.783 
5,349.5 


6,197 

8,202 

4,620.7 


16.006 
19.177 
20,914 
5,681.2 


68.681 
23.233 
132.507 
9.151. 1 


38.895 
55.045 
8.078.4 


4,294 

5.599 

5,566.3 


7,811 
17,399 
8,306.8 


6,795 

4,048 

16,757 

7,547.1 


9,366 
6,865 
28,409 
30.997 
5.067.4 


785 

3,716 

3,123.3 


2,536 

3.027 

3.108 

4.423.6 


9 
23 
8.9 


5 
13 

7.3 


23 

25 
26 
7.1 


195 

26 

258 

17.8 


52 

81 

II. 9 


7 

II 

10.9 


9 
20 
9.5 


5 

41 

18.5 


87 
14.2 


4 
3.4 


41 
106 


57 

73 

41.1 


114 
130 
144 
39.1 


442 
166 
925 
63.9 


282 
448 
65.7 


40 
39.8 


42 
116 
55.4 


65 

29 

137 

61.7 


182 
47 
301 
320 
52.3 


7 

28 
23.5 


21 

26 

26 

37.0 


213 

385 

149.4 


111 
118 
66.5 


573 

613 

638 

173.3 


3.426 

700 

4,886 

337.4 


2,182 
2.575 
377.9 


154 

172 
171.0 


313 

559 

266.9 


373 

119 

592 

266.6 


762 

327 

1.338 

1.373 

224.5 


9 
7.6 


602 
1.214 
471.2 


474 

579 

326.2 


388 

466 

558 

I5I.6 


4.851 
I.2I6 
8.299 
573.1 


2.092 
3.855 
565.8 


622 

720 

715.8 


845 
1.718 
820.2 


544 

149 

1.059 

477.0 


1.337 
763 
3.787 
3.925 
641.7 


258 

466 

391.7 


26 

46 

47 

66.9 


1,439 

4,539 

1,761.7 


1.225 

2.028 

1,142.5 


2,726 

3,623 

,4,021 

1,092.3 


16,878 

4.778 

31,285 

2.160.6 


7,838 
12,337 
1,810.6 


1,060 

1,468 

1.459.4 


2.213 

4,807 

2.295.0 


1.455 

950 

4.157 

1.872.2 


2.791 
1.281 
5.718 
6.252 
1.022.1 


103 

776 
652.2 


211 

257 

265 

377.2 


2.430 

8.243 

3.199.3 


4.620 

5.686 

3,203.3 


11.354 
13.356 
14.545 
3.951.1 


38.333 
15.076 
80.194 
5.538.3 


19.546 
28.867 
4.236.5 


2.826 

3.659 

3.637.6 


5.146 
11.646 
5.560.1 


4.545 

2.705 

10.876 

4,898.4 


3,333 
3,785 
15.445 
17.283 
2.825.4 


666 

2.843 

2.389.5 


2.174 

2,598 

2,667 

3.795.9 


460 
l.OOI 
388.5 


352 

488 

274.9 


1.926 
2.198 
2.348 
637.8 


13.470 

3,379 

21.028 

1.452.2 


11.511 
13.841 
2,031.3 


408 

472 
469.2 


452 

946 

451.6 


795 
393 

1,724 
776.5 


3.242 
1.799 
7.246 
7,462 
1,219.9 


16 

97 

81.5 


151 

172 

176 

250.5 


See  footnotes  at  end  of  table. 


88 


Table  6. — Index  of  Crime,  Metropolitan  Statistical  Areas,  1991 — Continued 


Metropolitan  Statistical  Area 


Population 


Crime 
Index 
total 


Modified 
Cnme 
Index 
total' 


Violent 
cnme- 


Properly 
cnme' 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


Grand  Rapids,  Mi.  MSA 

(Includes  Kent  and  Ottawa  Counties.) 

City  of  Grand  Rapids  

Total  area  actually  reporting   

Rale  per  100.000  inhabitants  

Steal  Falls,  Ml.  M.S.A 

(Includes  Cascade  County.) 

City  of  Great  Falls  

Total  area  actually  reporting    

Rate  per  100.000  inhabitants  

jfeeley,  Co.  M.S.A 

(Includes  Weld  County.) 

City  of  Greeley  

Total  area  actually  reporting   

Rate  per  100.000  inhabitants  

ireen  Bay,  Wi.  MSA 

(Includes  Brown  County.) 

City  of  Green  Bay    

Total  area  actually  reporting   

Rate  per  100.000  inhabitants  

ireensboro-Winston-Salem-High 

•oint,  N.C.  M.S.A 

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

Greensboro  

Winston-Salem    

High  Point   

Total  area  actually  reporting   

Estimated  total   

Rale  per  100.000  inhabitants  

jreenville-Spartanburg,  S.C.  MSA 

(Includes  Greenville.  Pickens  and 
Spartanburg  Counties.) 
City  of 

Greenville  

Spartanburg    

Total  area  actually  reporting   

Rate  per  100.000  inhabitants  

tagerslown,  Md.  M.S.A 

(Includes  Washington  County.) 

City  of  Hagerstown  

Total  area  actually  reporting   

Rate  per  100.000  inhabitants  

lartford,  Cl.  M.S.A 

(Includes  pan  of  Hanford.  Litchfield. 
Middlesex.  New  London  and  Tolland 
Counties.) 

City  of  Hanford  

Total  area  actually  reporting   

Rate  per  100,000  inhabitants  

lickory,  N.C.  M.S.A 

(Includes  Alexander.  Burke  and 
Catawba  Counties.) 

City  of  Hickory    

Total  area  actually  reporting   

Rate  per  100.000  inhabitants  

lonolulu.  Hi.  M.S.A 

(Includes  Honolulu  County.) 

Total  area  actually  reporting    

Rate  per  100.000  inhabitants  

louston,  Tx.  M.S.A 

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

City  of  Houston  

Total  area  actually  reporting   

Rale  per  100.000  inhabitants  


698,979 

190.604 
100.0% 

78,558 

55,712 
100.0% 

135,136 

62.053 
100.0% 

197,108 

97,713 
100.0% 


958.613 


186.521 
145,830 
70,632 
99.8% 
100.0% 

655,3*4 


772,550 


139.903 
100.0% 

225,655 


17,494 
38.023 
5.439.8 


5.381 

5.853 

7.450,5 


4,486 

7,901 

5.846.7 


4.982 

8.101 

4.109,9 


16.769 
16.615 
7,253 
61,585 
61,728 
6,439,3 


59,507 

7,193 

44,380 

5,889 

100.0% 

41.332 

6.306.7 

123,385 

36,027 

2.093 

100.0% 

3.605 

2.921  7 

21.235 
44.020 
5.698,0 


28,763 

3.511 

100.0% 

10,008 

4.435.1 

856,432 

100.0% 

51.032 

5.958,7 

,372,783 

665,756 

180.308 

100.0% 

276.186 

8,188.7 

3,278 
4.514 
645.8 


155 

169 

215.1 


225 

517 

382.6 


344 

445 

225,8 


1,799 
2,379 
861 
7,011 
7,026 
732,9 


1,089 
1. 119 
6,528 
996.1 


241 

359 

291,0 


3,576 
5,009 
648,4 


320 
1,001 
443,6 


2.058 
240.3 


26,651 
36.312 
1.076,6 


14,216 
33,509 
4,794,0 


5,226 

5.684 

7,235,4 


4.261 

7.384 

5,464.1 


4.638 

7,656 

3,884,2 


14,970 
14,236 
6.392 
54.574 
54.702 
5,706,4 


"6.104 

4,770 

34,804 

5,3106 


1,852 

3,246 

2,6308 


17,659 
39.011 
5,049,6 


3,191 

9.007 

3.991.5 


48,974 
5,718.4 


153,657 
239,874 
7,112.0 


32 
4.6 


35 
23 
II 
95 
95 
99 


II 

14 

76 

11.6 


24 
34 

4,4 


4 

25 

III 


29 
3.4 


608 

772 
22.9 


370 
645 
92,3 


50 

51 

64.9 


26 

55 

40.7 


22 

32 

16.2 


114 
148 
26 
368 
369 
38.5 


52 

42 

360 

54,9 


15 

35 

28,4 


181 
298 
38.6 


14 

51 

22.6 


275 
32.1 


1,213 
1.886 
55.9 


771 

972 

139.1 


21 

21 

26.7 


36 

63 

46.6 


37 

46 

23.3 


594 

951 

231 

2.067 

2.071 

216.0 


243 

269 

1.090 

166.3 


40 

58 

47,0 


1.607 
2.101 
272.0 


133 
194 
86.0 


860 
100.4 


13.883 
16.905 
501,2 


2.115 
2.865 
409.9 


78 

91 

115.8 


161 

395 

292.3 


283 

365 

185.2 


1.056 
1.257 
593 
4.481 
4,491 
468.5 


783 

794 

5.002 

763,2 


185 

264 

214,0 


1.764 
2.576 
333.4 


169 

731 

323.9 


894 
104.4 


10,947 
16,749 
496.6 


4.270 

7,791 

1,114.6 


692 

748 

952.2 


724 

1,429 

1,057.5 


623 

958 

486,0 


3,379 
4,822 
2,094 
17,458 
17,493 
1,824.8 


1,383 

1,110 

9.186 

1,401.7 


410 

766 

620.8 


4,690 
9,480 

1,227,1 


927 

2,760 

1,223.1 


9,905 
1.156.5 


39,726 
63,693 
1,888.4 


8,675 
23,534 
3,366.9 


4,290 

4,647 

5,915.4 


3,356 

5,626 

4,163.2 


3.809 

6,408 

3.251,0 


10,768 
8,498 
4,011 
34,092 
34,179 
3,565.5 


4,389 

3,350 

23,499 

3,585.6 


1,336 

2,296 

1,860.8 


9,710 
24,261 
3,140.4 


2,114 

5,767 

2,555.7 


36,019 
4,205.7 


73,769 
120,064 
3,559.8 


1,271 
2,184 
312.5 


244 

289 

367,9 


181 

329 

243,5 


206 

290 

147,1 


823 

916 

287 

3,024 

3,030 

316.1 


332 

310 

2.119 

323.3 


106 

184 

149.1 


3,259 
5.270 


150 
480 

212.7 


3.050 
356.1 


40.162 
56,117 
1,663.8 


ee  footnotes  at  end  of  table. 


89 


Table  6. — Index  of  Crime,  Metropolitan  Statistical  Areas,  1991 — Continued 


Metropolitan  Statistical  Area 


Populatioti 


Cnme 
Index 
total 


Modified 
Cnme 
Index 
total' 


Violent 
cnme- 


Property 
cnme^ 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


HuatingtoD-Asbland,  W.V.-Ky.-Oh. 

M.S.A 

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

Huntington,  W.V 

Ashland,  Ky 

Total  area  actually  reporting   

Estimated  total   

Rate  per  100,000  inhabitants  

Indianapolis,  In.  M.S.A 

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

City  of  Indianapolis  

Total  area  actually  reporting   

Estimated  total  

Rate  per  100,000  inhabitants  

Jackson,  Mi.  M.S.A 

(Includes  Jackson  County.) 

City  of  Jackson  

Total  area  actually  reporting   

Estimated  total  

Rate  per  100,000  inhabitants  

Jackson,  Ms.  M.S.A 

(Includes  Hinds,  Madison  and  Rankin 
Counties.) 

City  of  Jackson  

Total  area  actually  reporting   

Estimated  total   

Rate  per  100,000  inhabitants  

Jackson,  In.  M.S.A 

(Includes  Madison  County.) 

City  of  Jackson  

Total  area  actually  reporting   

Rate  per  100.000  inhabitants  

Jacksonville,  PI.  M.S.A 

(Includes  Clay.  Duval.  Nassau  and  St. 
Johns  Counties.) 

City  of  Jacksonville   

Total  area  actually  reporting   

Estimated  total   

Rate  per  100.000  inhabitants  

Jacksonville,  N.C.  M.S.A 

(Includes  Onslow  County.) 

City  of  Jacksonville 

Total  area  actually  reporting   

Rate  per  100.000  inhabitants  

Jamestown-Dunkirk,  N.Y.  M.S.A 

(Includes  Chautauqua  County.) 
City  of 

Jamestown  

Dunkirk   

Total  area  actually  reporting    

Rate  per  100.000  inhabitants  

Janesville-Belolt,  Wi.  M.S.A 

(Includes  Rock  County.) 
City  of 

Janesville  

Beloit  

Total  area  actually  reporting   

Rate  per  100.000  inhabitants  

Jersey  City,  NJ.  M.S.A 

(Includes  Hudson  County.) 

City  of  Jersey  City  

Total  area  actually  reporting   

Rate  per  100,000  inhabitants  


314,465 


55,073 
23,799 
80.2% 
100.0% 

1,265,229 


398,384 


930,632 


142,423 


34.811 
14.041 
100.0% 

141,309 


4.301 

1,032 

8.842 

10.671 

3.393,4 


489.392 

36.005 

81.8% 

67.584 

100.0% 

76.642 

6.057.6 

150,922 

37,738 

4,728 

97.4% 

8.631 

100.0% 

8,858 

5.869.3 

198,183 

27,126 

91.3% 

31,596 

100.0% 

33,532 

8.417.0 

79,193 

51.380 

6.055 

100.0% 

6.893 

8.704.1 

653.515 

69.217 

98,7% 

84,589 

100.0% 

85,595 

9,197.5 

152,285 

30.503 

3.928 

100.0% 

7.505 

4,928.3 

1.934 

823 

5.407 

3.796.4 


52.807 

3.552 

36.032 

2.667 

100.0% 

7.643 

5,408.7 

555,227 

229,419 

21.108 

100.0% 

40.582 

7.309.1 

306 

3.995 

70 

962 

667 

8,175 

802 

9,869 

255.0 

3,138.3 

7.072 
8,636 
9,273 
732.9 


1.526 

1,936 

1,956 

1,296.0 


2,386 
2,681 
2,851 
715.6 


981 

1,077 

1,360.0 


11,505 
13,357 
13,468 
1,447.2 


459 

616 

404.5 


58 

30 

202 

141.8 


111 
101 
371 

262.5 


4.612 

6,611 

1.190-7 


28.933 
58,948 
67,369 
5,324.6 


3.202 

6.695 

6,902 

1,573.2 


24,740 
28,915 
30,681 
7,701.4 


5,074 
5,816 

7,344,1 


57,712 
71,232 
72,127 
7,750.3 


3,469 

6,889 

4,523.8 


1.876 

793 

5.205 

3.654.6 


3.441 

2,566 

7.272 

5,146.2 


16.496 
33,971 
6,118.4 


2.5 


95 
115 
122 
9.6 


11.9 


22.1 


10 

11 

13.9 


128 
150 
151 
16.2 


5 

10 
6.6 


3 
2.1 


3 

4 
2.8 


43 

7.7 


29 
14 
80 
98 
31.2 


561 
772 
835 
66.0 


90 
179 
181 
199 


190 
228 
246 
61.7 


48 

56 

70.7 


798 
893 
897 
96.4 


33 

54 

35.5 


2 

23 
16.1 


20 

II 

43 

30.4 


97 
132 
23.8 


124 

17 

204 

243 

77.3 


2.001 
2,467 
2,587 
204,5 


119 
145 
150 
99.4 


1.313 
1.386 
1,439 
361.2 


284 

299 

377.6 


4.131 
4.467 
4.505 
484.1 


117 

170 

111.6 


24 

11 

40 

28.1 


12 

45 

70 

49.5 


2.576 
3.414 
6149 


150 

38 

376 

453 

144.1 


4.415 
5.282 
5,729 
452.8 


1.303 

1.594 

1.607 

1.064.8 


809 

982 

1.078 

270.6 


639 

711 

897.8 


6.448 
7.847 
7.915 
850.5 


304 

382 

250.8 


24 

17 

136 

95.5 


254 
179.7 


I.9I7 
3,022 
544.3 


241 
2.157 
2.551 
8II.2 


8.732 

14.998 

16.855 

■  1.332.2 


670 
1.461 
1.496 
991.2 


8.688 
10.287 
10.793 
2.709.2 


1.162 

1.399 

1.766.6 


17.301 
20.631 
20.851 
2,240.5 


763 

1.960 

1.287.1 


395 

211 

1,119 

785.7 


591 

352 

1.213 

858.4 


4.610 


1.599.7 


2.975 

674 

5,677 

6,845 

2,176.7 


14.970 
36.150 
41,996 
3,319.2 


2.349 

4.924 

5,074 

3.362.0 


12,710 
15.060 
16.215 
4.070.2 


3.628 

4.079 

5.150.7 


34,594 
44,037 
44,628 
4,795.5 


2.556 

4.627 

3.038.4 


1.447 

579 

3.983 

2.796.6 


2,727 

2.098 

5,768 

4.081.8 


6.494 
15.350 
2.764.6 


See  footnotes  at  end  of  table. 


90 


Table  6. — Index  of  Crime,  Metropolitan  StatisCical  Areas,  1991 — Continued 


Metropolilan  Statislical  Area 


Johnson  Cit)-KiDgsport-Brislol, 

Tn.-Vj.  MSA 

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

Johnson  City.  Tn 

Kingspon.  Tn 

Biistol,  Tn 

Total  area  actually  reporting  

Estimated  total   

Rale  per  100.000  inhabitants  

Joliel,  II.  M.S.A.'   

(Includes  Grundy  and  Will  Counties.) 

City  of  Joliet'   

Total  area  actually  reporting   

Rale  per  100.000  inhabitants  

Joplio,  Mo.  MSA 

(Includes  Jasper  and  Newton 
Counties.) 

Cily  of  Joplin   

Total  area  actually  reporting   

Estimated  total   

Rate  per  100.000  inhabitants  

KaUnuuoo,  Mi.  M.SA 

(Includes  Kalamazoo  County.) 

City  of  Kalamazoo  

Total  area  actually  reporting   

Estimated  total   

Rale  per  100,000  inhabitants 

Kankakee,  II.  M.S.A.^  

(Includes  Kankakee  County.) 

City  of  Kankakee*  

Total  area  actually  reporting  

Rale  per  100.000  inhabitants  

Kansas  City,  Mo.*Ks.  MSA 

(Includes  Cass.  Clay.  Jackson, 
Lafayelle.  Platte  and  Ray  Counties, 
Mo.,  and  Johnson,  Leavenworth, 
Miami  and  Wyandotte  Counties,  Ks.l 
City  of 

Kansas  City,  Mo 

Kansas  City,  Ks 

Total  area  actually  reporting  

Estimated  total   

Rate  per  100,000  inhabitants  

Kenosha,  Wi.  M.S.A 

(Includes  Kenosha  County.) 

City  of  Kenosha  

Total  area  actually  reporting   

Rate  per  100.000  inhabitants  

Killeen-Temple,  Tx.  MSA 

(Includes  Bell  and  Coryell  Counties.) 
City  of 

Killeen   

Temple  

Total  area  actually  reporting   

Rate  per  100.000  inhabitants  

Knomlle,  Tn.  MSA 

(Includes  Anderson.  Blount.  Grainger. 
JelTerson.  Knox,  Sevier  and  Union 
Counties.) 

City  of  Knoxville  

Total  area  actually  reporting   

Estimated  total   

Rate  per  100,000  inhabitants  

Kokoino,  Id.  MSA 

(Includes  Howard  and  Tipton 
Counties,) 

City  of  Kokomo  

Total  area  actually  reporting   

Estimated  total   

Rale  per  100,000  inhabitants  


Population 


442.574 


50,148 

3.254 

36,930 

2,905 

23,784 

1,322 

96.0% 

14,503 

100.0% 

15,634 

3,532,5 

390,154 

77.591 

100.0% 

135,985 


1,578,191 


260,744 


64,890 
47,092 
100.0% 

588,026 


167.686 
82.7% 
100.0% 

98.097 


45.496 
83.4% 
100.0% 


Cnme 
Index 
total 


41.287 

3,973 

76.3% 

5,947 

100.0% 

6,881 

5,060,1 

225,151 

80.904 

8,334 

99,2% 

15,308 

100,0% 

15,412 

6,845,2 

97,198 

27.846 

100.0% 

438,188 

57,834 

150,819 

17.944 

98,1% 

116.409 

100.0% 

118.025 

7.478.5 

129,836 

81.390 

4,543 

100.0% 

6,616 

5,095.7 

5.009 

3.733 

12.623 

4,841.1 


15.529 
27.334 
30.526 
5.191.3 


2,600 

3,266 

3,944 

4,020.5 


Modified 
Cnme 
Index 
total' 


Violent 
cnme- 


132 

323 

71 

1,119 

1.254 

283.3 


143 

192 

287 

211,1 


1.686 
2,040 
2,049 
910,1 


12.413 
2.790 
18.426 
18,543 
1.175,0 


238 

288 

!2I,8 


413 

543 

1,360 

521.6 


2.764 
3.385 
3.692 
627.9 


201 

315 

362 

369,0 


Property 
cnme^ 


3.122 

2,582 

1,251 

13,384 

14,380 

3,249.2 


6.499 
15.825 
4.056  I 


3.830 

5.755 

6.594 

4.849,1 


6.648 
13.268 
13.363 
5,935.1 


3,587 

5,879 

6,048,5 


45,421 
15,154 
97,983 
99.482 
6,  .303. 5 


4.305 

6.328 

4,873.8 


4,596 

3,190 

11,263 

4,319.6 


12.765 
23.949 
26.834 
4.563,4 


2.399 

2.951 

3,582 

3,651.5 


Murder 
and  non- 
negligent 

man- 
slaughter 


2 
I 

17 
18 
4.1 


1.5 


7 

12 

12.3 


135 
44 
205 
206 
13.1 


30 

5 

40 

15.3 


35 

52 

59 

10.0 


Forcible 
rape 


21 
13 
12 
96 
103 
23.3 


13 

27 

35 

25.7 


53 
122 
123 
54.6 


477 
182 
903 
910 

577 


46 

56 

43.1 


67 

75 

199 

76.3 


123 
188 
217 
36.9 


14 

22 

26 

26.5 


Robbery 


43 

18 

16 

141 

161 

36,4 


281 

406 

104  1 


44 

54 

67 

49.3 


366 

413 

415 

184,3 


226 

254 

261,3 


4.955 
1.039 
6.651 
6.690 
423.9 


106 
114 

87.8 


116 

72 

226 

86.7 


668 

785 

830 

141.2 


29 

31 

40 

40.8 


Aggra- 
vated 
assault 


68 
290 

42 

865 

972 

219.6 


544 

949 

243,2 


85 

110 

183 

134.6 


1.255 
1.492 
1.498 
665.3 


401 
529 

544,2 


6,846 

1,525 

10,667 

10,737 

6803 


117 
901 


200 

391 

895 

343.2 


1.938 
2.360 
2.586 
439.8 


158 

262 

296 

301.7 


Burglary 


664 

410 

230 

3.556 

3.763 

850.3 


1,357 
3,417 
875.8 


661 

1.207 

1.448 

1.064.8 


1.678 

2.779 

2.795 

1,241,4 


1,155 

1,676 

1,724,3 


13,008 
4,170 
25,656 
26,035 
1,649,7 


854 
1.236 
952,0 


1.381 

805 

3.251 

1,246.8 


3.984 

7.690 

8,651 

1,471.2 


385 

521 

650 

662.6 


Larceny- 
theft 


2.240 
2.031 
963 
8,998 
9,727 
2.197,8 


4,420 
10,966 
2,810.7 


3.011 

4,284 

4.811 

3.537.9 


4.621 

9,885 

9,954 

4,421.0 


2,114 

3,740 

3,847,8 


22,527 
8,469 
57,267 
58,272 
3,692,3 


3,153 

4,702 

3,621,5 


2,971 

2,180 

7.413 

2,843.0 


6.639 
13.308 
14,998 
2,550.6 


1.902 

2,286 

2,735 

2.788.1 


Motor 
vehicle 
theft 


218 
141 
58 
830 
890 
201.1 


722 
1.442 
369.6 


158 
264 
335 

246.4 


349 
604 
614 

272.7 


318 

463 

476.3 


9,886 
2.515 
15.060 
15.175 
961.5 


298 

390 

300,4 


244 

205 

599 

229.7 


2,142 
2,951 
3,185 
541,6 


112 
144 
197 
200. 


See  foomotes  at  end  of  table. 


91 


Table  6. — Index  of  Crime,  Metropolitan  Statistical  Areas,  1991 — Continued 


Metropolitan  Statistical  Area 


Population 


Crime 
Index 
total 


Modified 
Crime 
Index 

total' 


Violent 
cnme- 


Property 
cnme' 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Bursary 


Larceny- 
theft 


Motor 
vehicle 
theft 


La  Crosse,  Wi.  M.S.A 

(Includes  La  Crosse  County.) 

City  of  La  Crosse  

Total  area  actually  reporting   

Rate  per  100,000  inhabitants  

Lafayette,  La.  M.S.A 

(Includes  Lafayette  and  St.  Martin 
Parishes.) 

City  of  Lafayette  

Total  area  actually  reporting   

Estimated  total   

Rate  per  100,000  inhabitants  

Lafayette-West  Lafayette,  In.  M.S.A.  .. 
(Includes  Tippecanoe  County.) 
City  of: 

Lafayette 

West  Lafayette   

Total  area  actually  reporting   

Rate  per  100,000  inhabitants  

Uke  County,  II.  M.S.A."  

(Includes  Lake  County.) 

Total  area  actually  reporting   

Estimated  total   

Rate  per  100.000  inhabitants  

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

Lakeland   

Winter  Haven  

Total  area  actually  reporting   

Rate  per  100,000  inhabitants  

Lancaster,  Pa.  M.S.A 

(Includes  Lancaster  County.) 

City  of  Lancaster 

Total  area  actually  reporting   

Estimated  total   

Rate  per  100.000  inhabitants  

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

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

Lansing  

East  Lansing   

Total  area  actually  reporting   

Estimated  total   

Rate  per  100.000  inhabitants  

Laredo,  Tx.  M.Sj\ 

(Includes  Webb  County.) 

City  of  Laredo    

Total  area  actually  reporting   

Rate  per  100.000  inhabitants  

Las  Cnices,  N.M.  M.S.A 

(Includes  Dona  Ana  County.) 

City  of  Las  Cruces  

Total  area  actually  reporting   

Estimated  total  

Rate  per  100,000  inhabitants  

Las  Vegas,  Nv.  M.S.A 

(Includes  Clark  County.) 

City  of  Las  Vegas 

Total  area  actually  reporting   

Estimated  total   

Rate  per  100,000  inhabitants  

Lawrence,  Ks.  M.S.A 

(Includes  Douglas  County.) 

City  of  Lawrence  

Total  area  actually  reporting   

Rate  per  100.000  inhabitants  


99,167 


51.662 
100.0% 


210,322 


95.156 
99.8% 
100.0% 

132,147 


44.283 
26.214 
100.0% 

523,549 

99.7% 
100.0% 

416.001 


436,042 


3.353 

4,431 

4,468.2 


8,620 
11.205 
11,233 
5,3409 


2,660 

1,075 

6,127 

4,636.5 


72.425 

11.374 

25.373 

4.553 

100.0% 

40,418 

9,715.8 

425,627 

55.922 

4,140 

98.9% 

13,125 

100.0% 

13,266 

3,116.8 

128,315 

10,340 

51,073 

2,312 

91.3% 

23,573 

100.0% 

25,782 

5,912.7 

136,081 

125,521 

11,823 

100.0% 

12.202 

8,966.7 

138,454 

63.476 

6.223 

98.5% 

8,851 

100.0% 

9,043 

6,531,4 

792,165 

656,391 

48.779 

93.3% 

52,434 

100.0% 

55,636 

7.023.3 

82,371 

66,069 

4,752 

100.0% 

5,996 

7,279.3 

42 

103 

103,9 


944 
1,274 
1,277 
607.2 


103 

38 

365 

276.2 


1.234 

571 

4.110 

988.0 


347 

785 

798 

187.5 


1.768 
156 
2,689 
2,878 
660.0 


879 

920 

676.1 


542 

756 

770 

556.1 


5,661 
5.960 
6,243 
788.1 


275 

365 

443.1 


3.311 

4,328 

4,364,4 


7,676 

9,931 

9,956 

4,733.7 


2,557 

1,037 

5,762 

4,360.3 


21,326 
21,389 
4,085.4 


10,140 

3.982 

36,308 

8,727.9 


3.793 
12,340 
12,468 
2,929.3 


8,572 

2,156 

20,884 

22,904 

5,252.7 


10.944 
11,282 
8.290.7 


5,681 

8,095 

8,273 

5,975.3 


43.118 
46,474 
49,393 
6,235.2 


4,477 

5.631 

6,836.1 


19 
19 
9.0 


13 
13 

2.5 


6 

I 

19 

4.6 


17 
17 
4.0 


15 
16 

3.7 


15 

17 

12.5 


4 

6 

6 

4.3 


103 
103 
105 
13.3 


1 

2 
2.4 


17 

33 

33.3 


55 

92 

92 

43.7 


17 
6 

46 
34.8 


31 

16 

118 

28.4 


36 

90 

91 

21.4 


188 

54 

425 

443 

101,6 


38 

76 

77 

55.6 


433 
502 
555 
70.1 


36 

43 

52.2 


13 
13 

13.1 


321 
369 
370 

175.9 


31 
23.5 


478 
480 
91.7 


481 

154 

1,185 

284.9 


161 
246 
249 
58.5 


294 

34 

412 

457 

104.8 


173 

174 

127.9 


76 

93 

95 

68.6 


3.193 
3,303 
3,383 
427.1 


44 

48 

58.3 


II 

56 

56.5 


560 

794 

796 

378.5 


64 

30 

287 

217.2 


850 

853 

162.9 


716 

400 

2,788 

6702 


142 

432 

441 

103.6 


1,274 
68 
1,837 
1,962 
450.0 


677 

713 

524.0 


424 

581 

592 

427.6 


1,932 
2,052 
2,200 

277.7 


194 

272 

330.2 


176 

314 

316.6 


1.649 

2.404 

2.409 

1.145.4 


479 

135 

865 

654.6 


3,856 
3,868 
738.8 


2,650 

832 

10,866 

2,612.0 


1.120 
2,539 
2,562 
601.9 


1.759 
270 
3.940 
4.282 
982,0 


2.680 

2.812 

2.066.4 


1.532 

2.575 

2,615 

1,888.7 


10,743 
11,668 
12,363 
1.560.7 


926 
1.190 

1.444,7 


3,033 

3,888 

3,920.7 


5,620 

7,026 

7,044 

3,349.2 


1,954 


4,668 
3,532.4 


16,300 
16,345 
3,122,0 


6,504 

2,721 

21.966 

5,280.3 


2.382 

9,105 

9.196 

>.1606 


6,218 

1,640 

15.627 

17,090 

3,919.3 


7,136 

7,317 

5,376.9 


3.795 

4.999 

5,127 

3,703.0 


25,828 
27,924 
29,943 
3,779.9 


3,413 

4,277 
5,192,4 


102 

126 

127.1 


407 

501 

503 

239.2 


124 

34 

229 

173.3 


1,170 
1,176 
224.6 


986 

429 

3.476 

835.6 


291 

696 

710 

166.8 


595 

246 

1,317 

1,532 

351,3 


1,128 
1,153 
847,3 


354 

521 

531 

383,5 


6,547 
6,882 
7,087 
894,6 


138 

164 

199.1 


See  footnotes  at  end  of  table. 


92 


Table  6. — Index  of  Crime,  Metropolitan  Statistical  Areas,  1991 — Continued 


Metropohlan  Stalislical  Area 


Population 


Cnme 
Index 
total 


Modified 
Cnme 
Index 
lolar 


Violent 
cnme- 


Property 
cnme' 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


Lamrence-Haverhill.  Ma.-N.H.  M.S.A. 

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

Lawrence,  Ma 

Haverhill.  Ma 

Total  area  actually  reporting   

Estimated  total  

Rate  per  100.000  inhabitants  

Uwton.  Ok.  MSA 

(Includes  Comanche  County.) 

City  of  Lawlon  

Total  area  actually  reporting   

Rate  per  100,000  inhabitants  

Lewiston-Auburn.  Me.  M-S-A 

(Includes  pan  of  Androscoggin 
County.) 
City  of; 

Lewiston    

Auburn  

Total  area  actually  repotting   

Rate  per  100,000  inhabitants  

Lexington-Fayette,  Ky.  M.S.A 

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

City  of  Lexington    

Total  area  actually  reponing   

Rate  per  100.000  inhabitants  

Lincoln,  Nb.  M.S.A 

(Includes  Lancaster  County.) 

City  of  Lincoln  

Total  area  actually  reporting    

Rate  per  100.000  inhabitants  

Little  Rock-North  Little  Rock,  Ar. 

M.S.A 

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

Little  Rock  

Nonh  Little  Rock  

Total  area  actually  reporting   

Rale  per  100.000  inhabitants  

Longview-MarshalL  Tx.  MSA 

(Includes  Gregg  and  Harrison 
Counties.) 
City  of: 

Longview  

Marshall  

Total  area  actually  reporting   

Rate  per  100.000  inhabitants  

Lorain-ElyTia,  Oh.  M.S.A 

(Includes  Lorain  County.) 
City  of: 

Lorain  

Elyria  

Total  area  actually  reponing  

Estimated  total   

Rate  per  100,000  inhabitants  

Los  Angeles-Long  Beach,  Ca.  M.S.A.  .. 
(Includes  Los  Angeles  County.) 
City  of 

Los  Angeles   

Long  Beach    

Total  area  actually  reponing   

Rate  per  100.000  inhabitants  


381,626 


69,968 

7,380 

51.243 

3.668 

83.0% 

19,667 

100.0% 

22,177 

5,811.2 

112,528 

81.314 

5,632 

100.0% 

5,992 

5,324.9 

105.861 


39.251 
23.800 
100.0% 

351,041 


517,844 


177,479 
62,299 
100.0% 

170,6*5 


71,811 
24,187 
100.0% 

267,841 


71,848 
57,226 
93.9% 
100.0% 

9,048,060 


2,283 

858 

4,020 

3.797.4 


227,060 

15,936 

100.0% 

21,573 

6,145.4 

215,618 

193,749 

14,954 

100.0% 

16,414 

7,612.5 

,558,316 
438,378 
100.0% 


28,700 

7.510 

48,430 

9,352.2 


7,296 

2,078 

12,290 

7.201.2 


2.934 
3.579 
9,590 
10,310 
3,849.3 


346.224 
40,030 
689.695 
7.622.6 


1.314 

348 

2.050 

2.321 


787 

828 

735.8 


119 

15 

156 

147.4 


1,802 
2.497 
711.3 


1,091 
1,120 
519.4 


5,291 

768 

7.296 

1.408.9 


770 

254 

1.365 

799,8 


261 

314 

1.002 

1.051 

392.4 


89,875 

9,209 

162.497 

1.795.9 


6,066 
3,320 
17,617 
19,856 
5,203.0 


4,845 

5.164 

4,589.1 


2.164 

843 

3.864 

3.650.1 


14,134 
19.076 
5.434.1 


13.863 
15,294 
7,093.1 


23.409 

6.742 

41.134 

7,943.3 


6.526 

1.824 

10,925 

6,401,4 


2,673 
3.265 
8.588 
9.259 
3.456.9 


256.349 
30,821 

527,198 
5,826.6 


13 
21 
6.0 


10 
3 

20 
11.7 


3 
5 

12 
12 
4.5 


1,027 

94 

1,856 

20,5 


17 
III 
121 
31.7 


55 

59 

52.4 


16 
5 

23 
21.7 


164 
208 
59.3 


91 

42.2 


268 


463 
89.4 


83 

19 

136 

79.7 


54 
32 
119 
123 
45.9 


1.966 
284 

4,114 
45.5 


303 

65 

482 

534 

139,9 


118 

118 

104,9 


39 

4 

46 

43.5 


453 

506 

144.1 


112 
117 
54.3 


1.459 

355 

1,954 

377.3 


201 

31 

245 

143.6 


93 
167 
345 
360 
1.34.4 


39.778 
4.071 

67.876 
750.2 


977 

264 

1,445 

1,653 

433,1 


605 

641 

569.6 


1. 172 
1,762 
501.9 


890 

912 

423.0 


3.518 

319 

4,792 

925,4 


476 

201 

964 

564,8 


111 
110 
526 
556 
207,6 


47,104 
4,760 

88,651 
979.8 


2.238 
1,132 
5,148 
5,696 
1.492.6 


1.360 

1,475 
1,3108 


519 

173 

946 

893.6 


3,211 

4,241 

1,208.1 


2,327 

2,533 

1,174,8 


5,773 

1,441 

10,101 

1,9506 


1,660 

419 

2,891 

1,694.0 


1,028 

901 

2,721 

2.835 

1.058.5 


57.460 

7.901 

129,124 

1,427.1 


1.568 
1,530 
7.879 
9,179 
2,405,2 


3,209 

3,390 

3,012.6 


1,582 

627 

2,763 

2,610,0 


10,075 
13,804 
3,932.3 


11,117 
12,308 
5,708,2 


15,166 

4,654 

27,113 

5,235,7 


4,330 

1,270 

7.218 

4,229.3 


1.405 
2.104 

5.227 

5,727 

2.138.2 


130.234 

16.302 

265,666 

2,936.2 


2.260 

658 

4.590 

4,981 

1.305.2 


276 

299 

265.7 


63 

43 

155 

146.4 


1.031 
293.7 


419 

453 

210.1 


2,470 

647 

3,920 

757.0 


536 

135 

816 

478.1 


240 
260 
640 
697 
260.2 


68,655 

6.618 

132.408 

1.463.4 


See  footnotes  at  end  of  table. 


93 


Table  6. — Index  of  Crime,  Metropolitan  Statistical  Areas,  1991 — Continued 


Melropolitan  Stalistical  Area 


Population 


Cnrae 
Index 
total 


Modified 
Cnme 
Index 
total' 


Violent 
crime- 


Property 
crime' 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


LouisviUe,  Ky.-lo.  MSA 

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

City  of  Lxiuisville,  Ky 

Total  area  actually  reporting   

Estimated  total   

Rate  per  100,000  inhabitants  

Lubbock,  Tx.  MSA 

(Includes  Lubbock  County.) 

City  of  Lubbock  

Total  area  actually  reporting   

Rate  per  100,000  inhabitants  

Lynchburg,  Va.  M.S.A 

(Includes  Lynchburg  City  and 
Amherst  and  Campbell  Counties.) 

City  of  Lynchburg  

Total  area  actually  reporting    

Rale  per  100,000  inhabitants  

M«con- Warner  Robins,  G«.  M.S.A 

(Includes  Bibb,  Houston,  Jones  and 
Peach  Counties.) 
City  of; 

Macon  

Warner  Robins  

Total  area  actually  reporting   

Rate  per  100,000  inhabitants  

M«dis»n,  Wi.  M.S.A 

(Includes  Dane  County.) 

City  of  Madison 

Total  area  actually  reporting   

Rate  per  100,000  inhabitants  

Manchester,  N.H.  MSA 

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

City  of  Manchester  

Total  area  actually  reporting   

Estimated  total   

Rate  per  100,000  inhabitants  

Mansfield,  Oh.  M.S.A 

(Includes  Richland  County.) 

City  of  Mansfield    

Total  area  actually  reporting   

Estimated  total   

Rate  per  100.000  inhabitants  

McAllen-Edinburg-Mission,  Tx.  M.S.A.  . 
(Includes  Hidalgo  County.) 
City  of; 

McAllen  

Edinburg   

Mission  

Total  area  actually  reporting   

Estimated  total   

Rate  per  100,000  inhabitants  

Medford,  Or.  MSA 

(Includes  Jackson  County.) 

City  of  Medford  

Total  area  actually  reporting   

Estimated  total  

Rate  per  100.000  inhabitants  

Melbourne- Titusville-Palm  Bay,  Fl. 

M.S.A 

(Includes  Brevard  County.) 
City  of 

Melbourne  

Titusville  

Palm  Bay    

Total  area  actually  reporting  

Rate  per  100.000  inhabitants  


960,758 


271,245 

17,428 

96.9% 

42,013 

100.0% 

43,150 

4,491.2 

226,5*1 

190,179 

12,442 

100.0% 

14,492 

6,395.9 

144,462 


67,101 
100.0% 


287,379 


143,752 


391,721 


409,429 


61.209 
40,426 
64.273 
100.0% 


3,628 

5,487 

3,798.2 


108,994 

10,846 

44,703 

2,905 

100.0% 

17,869 

6,217.9 

364,919 

193.735 

12.884 

100.0% 

19.575 

5,364.2 

99,240 

7,013 

96.8% 

8,188 

100.0% 

8,350 

5,808.6 

127,203 

51,055 

5,248 

98.8% 

7.954 

100.0% 

8.023 

6.307.2 

85.814 

9.182 

30.522 

1.765 

29.264 

1,817 

99.6% 

26,712 

100.0% 

26,815 

6,845.4 

150,488 

48.267 

3.618 

99.2% 

7.200 

100.0% 

7,265 

4,827.6 

5,594 

3,969 

3,675 

28,808 

7,036.1 


2,245 
4,598 
4,681 
487.2 


1,065 
1,214 
535.8 


484 

712 

492.9 


1,006 

281 

1,652 

574.9 


770 
1,241 
3401 


240 

269 

273 

189.9 


1. 181 

1.347 

1.351 

1.062.1 


602 

181 

102 

1,949 

1,958 

499.8 


206 

522 

526 

349.5 


684 

482 

323 

3,006 

734.2 


15,183 
37,415 
38,469 
4,004.0 


11,377 
13,278 
5,860.2 


3.144 

4.775 

3.305.4 


9.840 

2,624 

16,217 

5,643.1 


12,114 
18,334 
5,024.1 


6.773 

7,919 

8,077 

5,6187 


4.067 

6.607 

6.672 

5,245.2 


8,580 

1,584 

1,715 

24,763 

24,857 

6,345.6 


3.412 

6,678 

6,739 

4,478.1 


4,910 

3,487 

3,352 

25,802 

6.301.9 


43 
64 
65 
6.8 


23 
10.2 


12 

20 

13.8 


32 
5 

53 
18.4 


6 

6 

6 

4.2 


3 
I 
I 

27 
27 
6.9 


1,3 


I 
I 
18 

4.4 


157 
433 
441 
45.9 


137 
143 
63.1 


25 

49 

33.9 


115 
40.0 


93 
126 
34.5 


23 

25 

26 

18.1 


50 

51 

51 

40.1 


10 

89 

90 

23.0 


31 

71 

72 
47.8 


34 

27 

9 

145 

35.4 


1,246 
1,714 
1.730 
1 80. 1 


276 

285 

125.8 


106 
128 
88.6 


273 

56 

401 

139.5 


325 
354 
97.0 


165 

175 

176 

122.4 


159 
183 
184 

144.7 


122 
24 
14 
306 
308 
78.6 


46 

71 

72 

47.8 


117 

116 

52 

627 

153.1 


799 
2.387 
2,445 
254.5 


634 

763 

336.7 


341 

515 

356.5 


620 

216 

1,083 

376.9 


350 

757 
207.4 


46 
63 
65 

45.2 


971 
1,112 
1,115 
876.6 


460 

148 

77 

1,527 

1.533 

391.3 


128 
378 
380 

252.5 


531 

338 

261 

2,216 

541,2 


5,007 

9.529 

9.774 

I.OI7.3 


3,034 

3.498 

1.543.8 


505 

811 

561.4 


2.266 

659 

4.020 

1,398.8 


2,273 
3,276 
897.7 


2,040 

2,356 

2,388 

1,661.2 


1,209 

1,843 

1.854 

1.457.5 


1.709 

459 

390 

7,948 

7,970 

2,034.6 


436 
1,178 
1,189 
790.1 


1,061 

972 

747 

6,503 

1,588.3 


8,446 
24,515 
25,233 
2,626.4 


7.691 

9.098 

4.015.3 


2,481 

3,704 

2,564,0 


6,807 

1,827 

11,042 

3,842.3 


9.089 
14.070 
3.855.7 


4.306 

5.080 

5,193 

3.612.5 


2,657 

4,431 

4,479 

3,521.1 


5.705 

929 

1.146 

14.149 

14.212 

3,628.1 


2,839 

5.192 

5,238 

3.4807 


3.542 
2.271 
2,468 
17,640 
4,308.4 


1.730 
3,371 
3.462 
360.3 


652 

682 

301.0 


158 

260 

180.0 


767 

138 

1.155 

401.9 


270.7 


427 

483 

496 

345.0 


201 

333 

339 

266.5 


1. 166 
196 
179 
2,666 
2,675 
682.9 


137 

308 

312 

207.3 


307 

244 

137 

1,659 

405,2 


See  footnotes  at  end  of  table. 


94 


Table  6. — Index  of  Crime,  Metropolitan  Statistical  Areas,  1991 — Continued 


Metropolitan  Statistical  Area 


Population 


Cnme 
Index 
total 


Modified 
Cnme 
Index 
total' 


Violent 
cnme- 


Propeny 
cnme^ 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 

vehicle 
theft 


Memphis,  Tn.-Ar.-Ms.  MSA 

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

City  of  Memphis.  Tn 

Total  area  actually  reporting   

Estimated  total    

Rate  per  100,000  inhabitants 

Merced,  Ca.  M.S.A 

(Includes  Merced  County.) 

City  of  Merced  

Total  area  actually  reporting   

Rate  per  100,000  inhabitants  

Vliami-Hialeah.  Fl.  MSA 

(Includes  Dade  County.) 
City  of: 

Miami  

Hialeah  

Total  area  actually  reporting   

Rate  per  100.000  inhabitants  

Vliddlesex-Somerset- Hunterdon. 

SJ.  M.S.A 

(Includes  Hunterdon.  Middlesex  and 
Somerset  Counties,) 

Total  area  actually  reporting   

Rate  per  100.000  inhabitants  

vliddletown.  Ct.  M.S.A 

(Includes  part  of  Middlesex  County.) 

City  of  Middletown    

Total  area  actually  reporting   

Rate  per  100.000  inhabitants  

Vltdland.  Tx.  M.S.A 

(Includes  Midland  County.) 

City  of  Midland  

Total  area  actually  reporting   

Rate  per  100.000  inhabitants 

Vlilwaukee,  Wi.  MSA 

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

City  of  Milwaukee  

Total  area  actually  reporting   

Rate  per  100.000  inhabitants  

VHnneapolis-St.  Paul,  Mn.-Wi.  M.Sj\.  . 
(Includes  Anoka.  Car\'er.  Chisago. 
Dakota,  Hennepin,  Isanti.  Ramsey. 
Scott.  Washington  and  Wnght 
Counties,  Mn,,  and  St.  Croix 
County.  Wi.) 
City  of: 

I  Minneapolis.  Mn 

St.  Paul.  Mn 

Total  area  actually  reporting   

Rale  per  100,000  inhabitants  

Modesto.  Ca.  M.S.A 

{Includes  Stanislaus  County.) 

City  of  Modesto  

Total  area  actually  reporting    

Rate  per  100,000  inhabitants  

Monmouth-Ocean,  NJ.  MSA 

(Includes  Monmouth  and  Ocean 
Counties! 

Total  area  actually  reporting    

Rate  per  100.000  inhabitants  

Monroe,  La.  M.S.A 

(Includes  Ouachita  Pansh.) 

City  of  Monroe    

Total  area  actually  reporting    

Rate  per  100,000  inhabitants  


996.272 


619.981 

63,137 

87.8% 

73,354 

100.0% 

77.689 

7.798.0 

182,115 

57,386 

3.582 

100.0% 

8.587 

4,715.2 

1,987,853 


367.945 
192.931 
100.0% 


1,023,740 

100.0% 

65,552 

42.812 
100.0% 

108,885 

91.351 
100,0% 

1,450,762 


636,.142 
100,0% 


2,495,640 


990,090 

100.0% 

143,2«8 

55.325 
100.0% 


67.678 

15.767 

254.168 

12,786.1 


40.904 
3,995.5 


2.422 

3,043 

4,642.1 


6,574 

7.571 

6,953.2 


57,551 
87,257 
6,014.6 


373,303 

42,115 

275.776 

21,765 

100.0% 

139.078 

5,572,8 

378,235 

168.161 

11.307 

100.0% 

25.461 

6.731,5 

39.574 
3.997.0 


6.976 
10.381 
7,245.9 


8.818 

9,890 

10,344 

1.038.3 


295 

881 

483.8 


15,645 

1,928 

43,632 

2.1949 


2,672 
261.0 


101 

127 

193.7 


997 
1,059 
972,6 


6.228 
7,549 
520.3 


5,889 
2,731 
11,729 
470.0 


1,006 
3.042 
804.3 


2.767 
279,5 


1.021 
1.274 
889.2 


54,319 
63,464 
67,345 
6,759.7 


3,287 

7,706 

4,231,4 


52,033 

13,839 

210.536 

10,591,1 


38,232 
3,734.5 


2,321 

2,916 

1,448.4 


5,577 

6,512 

5,980.6 


51,323 
79,708 
5,494.2 


36.226 

19,034 

127,349 

5,102.9 


10.301 
22,419 
5.927,3 


36,807 

3,717,5 


5,955 

9,107 

6,356.6 


169 
191 
200 
201 


1 

7 
3.8 


134 

28 

361 


20 
2.0 


3 

3 

4.6 


163 
175 
12.1 


64 
12 
96 
3.8 


7 
24 
6,3 


30 
3,0 


4 
11 

7.7 


653 

777 
861 
86.4 


253 

43 

1.232 

62.0 


168 
16,4 


15 
16 

24,4 


77 

89 

81,7 


502 
605 
41,7 


744 

286 

1,400 

56.1 


69 
182 
48,1 


213 
21,5 


36 

59 

41,2 


4,504 
4,771 
4,845 
486.3 


97 
178 
97,7 


i,542 


21,229 
1,067,9 


932 
91,0 


32 

40 

61,0 


131 

137 

125,8 


4.252 
4,620 
318.5 


2.610 

850 

4,146 

166,1 


290 

602 

159.2 


735 
74.2 


135 

166 

115.9 


3.492 
4.151 
4,438 
445.5 


171 

629 

345.4 


6,716 

975 

20,810 

1,046,9 


1,552 
151.6 


51 

68 

103.7 


781 

824 

756.8 


1.311 
2.149 
148.1 


2.471 
1.583 
6.087 
243.9 


640 
2.234 
5906 


1,789 
180.7 


846 
1.038 

724.5 


16.580 
19,094 
20.566 
2,064.3 


760 

2,348 

1,289.3 


12.601 

3.210 

51,075 

2,569.4 


7.172 
700.6 


471 

552 

842.1 


1.679 

1.980 

1,818.4 


9.431 
13.697 
944,1 


8.990 

4.583 

25,456 

1,020.0 


2,396 

6.222 

1,645.0 


7,853 
793.2 


1.316 

2.428 
1,694,7 


24,357 
29,981 
32,099 
3,221.9 


2,233 

4,729 

2,596.7 


30.751 

7.835 

123.969 

6.236.3 


26,389 
2.577.7 


1.542 

2,001 

3,052.5 


3,536 
4.109 

3.773.7 


28.322 
50.610 
3,488.5 


22,155 
12,124 
89,262 
3,576.7 


6,805 
14,089 
3,724.9 


27,028 
2,729.9 


4.400 

6,280 

4,383.4 


13.382 
14.389 
14.680 
1.473.5 


294 

629 

345.4 


8,681 

2,794 

35.492 

1.785.4 


4.671 
456.3 


.308 

363 

553.8 


362 

423 
388.5 


13,570 
15,401 
1,061.6 


5,081 
2,327 
12,631 
506.1 


i.lOO 
2,108 
557,3 


1,926 
194.5 


239 
399 

278.5 


iee  footnotes  at  end  of  table. 


95 


Table  6. — Index  of  Crime.  Metropolitan  Statistical  .^reas,  1991 — Continued 


Metropolitan  Statistical  Area 


Population 


Cnme 
Index 
total 


Modified 
Cnme 
Index 
total' 


Violent 
cntne^ 


Property 
c^m^' 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robben' 


vated 
assault 


Burglary 


Larcenv- 
tbeft 


Motor 
vehicle 
theft 


MoBtgonKry.  Al.  MSA 

(Includes  Autauga,  Elmore  and 
Montgomery  Counties.) 

City  of  Montgomery 

Total  area  actually  reporting  — 

Estimated  total  

Rale  per  100,000  inhabitants    ... 

Muskegon.  Mi.  M,S.\.  

(Includes  Muskegon  County.) 

City  of  Muskegon   

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

N^iks,  R  MSA.   

(Includes  Collier  County.) 

City  of  Naples  

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

Ntshua.  SH.  MSA.  

(Includes  part  of  Hillsborough  and 
Rockingham  Counties.) 

City  of  Nashua  

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

NishYlUe,  Tn.  MS-A.  

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

City  of  Nashville  

Total  area  actually  reporting  .... 

Estimated  total   

Rate  per  100.000  inhabitants  .... 

Nassio-Soffolk.  N.Y.  MSA.  

(Includes  Nassau  and  Suffolk 
Counties.) 
Total  area  actually  reporting   — 

Estimated  total   

Rate  per  100.000  inhabitants  .... 

Newark,  NJ.  MSA 

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

City  of  Newark 

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

New  Bedford.  Ma.  M5A 

(Includes  pan  of  Bnstol  and 
Plymouth  Counties.) 

City  of  New  Bedford  

Total  area  actually  reporting   

Estimated  total  

Rate  per  100,000  inhabitants  .... 

New  Britain,  Ct  MSA.    

(Includes  part  of  Hartford  Coimly.) 

City  of  New  Bntain  

Total  area  aaually  reporting   

Rate  per  100,000  inhabitanu  .... 

New  Haven-.Meriden.  Ct.  MSA.  

(Includes  part  of  .Middlesex  and 
New  Haven  Counties.) 
City  of 

New  Haven   

Menden  

Total  area  actually  reporting   . . . . 
Rate  per  100,000  inhabitanB  .... 
New  London-Norwich,  Cl-RJ. 

MSA 

(Includes  pan  of  New  London  and 
Wingham  Counties,  Ct..  and 
Washington  County.  R.I.) 
City  of: 

New  London.  Ct 

Norwich,  Ct 

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


298,211 


189,347 

16,248 

99.7% 

21,217 

100.0% 

21,277 

7.134.9 

160.222 

40.598 

5,648 

100.0% 

12,181 

7,602.6 

156.085 

20.016 

1,520 

100.0% 

9,426 

6,039.0 

175,656 


79,356 
100.0% 


I.000J2I 


507,328 
83.8% 
100,0% 

2,618J>76 


99.9% 
100.0% 


1,831,545 


276.510 
100.0% 

179.264 


99.583 
88.9% 
100.0% 

148J61 

75.580 
100.0% 

563J84 


130.627 
59,549 
100.0% 


283,745 


28,573 
37,435 
100.0% 


2,762 

4,990 

2.840.8 


43.958 
59,103 
64,294 
6.427.3 


109.971 
1 10,009 
4.200.5 


40.940 
121,304 
6.623.0 


6,872 

9,571 

10,343 

5,769.7 


6,396 

9,247 

6.232.8 


19.492 

3.041 

38.314 

6,800.7 


1.711 
2,538 
2,546 
853.8 


726 
1.244 
776.4 


126 
1,325 
848.9 


76 
129 
73.4 


7,989 

9,645 

10,148 

1,014.5 


7,729 
7,732 
295.2 


9.402 
18.837 
1,028.5 


1,337 
1,619 
1,702 
949.4 


667 

747 

503.5 


3,525 

151 

4,408 

782.4 


14.537 
18.679 
18.731 
6.281.1 


4.922 
10.937 
6.826.2 


1,394 

8.101 

5,190.1 


2,686 

4.861 

2,767.3 


35,969 
49,458 
54,146 
5,412.9 


102,242 
102,277 
3,905.2 


31,538 
102.467 
5,594.6 


5,535 

7,952 

8.641 

4,820.3 


5,729 

8,500 

5,729.3 


15,967 

2,890 

33.906 

6,018.3 


36 

43 

43 

14.4 


12 

7.7 


3 

4 

2.3 


110 
120 
12.0 


89 
89 
3.4 


168 
9.2 


6 

6 

6 

3.3 


6 

8 

5.4 


34 

1 

41 

7.3 


160 
196 
196 
65.7 


27 
106 
66.2 


3 
151 
96.7 


18 
43 

24.5 


514 
629 
676 
67.6 


268 
268 
10.2 


244 
677 
37.0 


74 

81 

84 

46.9 


52 

59 

39.8 


118 

5 

185 

32.8 


570 
662 
664 

222.7 


157 

263 

164.1 


30 

223 

142.9 


23 

29 

16.5 


2,648 
2,851 
2,925 
292.4 


3,593 
3,594 

137.2 


5,201 
10,221 
558.1 


377 

402 

418 

233.2 


305 

354 
238.6 


1,355 

79 

1,657 

294.1 


945 
1.637 
1,643 
551.0 


539 

872 

544.2 


93 

939 

601.6 


32 

53 

30.2 


4,739 
6,055 
6,427 
642.5 


3,779 
3,781 
144.4 


3,869 

7,771 
424.3 


880 
1,130 
1,194 
666.1 


304 

326 

219.7 


2,018 
66 

2,525 
448.2 


4,364 

5,762 

5,774 

1,936.2 


1,283 

2,472 

1,542.9 


286 

2.432 

1,558.1 


434 

934 

531.7 


10,321 
13,527 
15,066 
1,506.1 


21,573 

21,580 

824.0 


6,180 
21,235 
1,1594 


2,059 

2,683 

2,852 

1,590.9 


1,335 

2,072 

1,396.6 


4,146 

765 

8,000 

1,420.0 


9,200 
11.748 
11.784 
3,951.6 


3,184 

7.677 

4.791.5 


1.033 

5.112 

3,275.1 


1,966 

3,517 

2,002.2 


21,807 
31,360 
34,133 
3,412.2 


62,909 
62.934 
2.403.0 


11.397 
50.119 
2,736.4 


2,115 

3,408 

3,808 

2.124.2 


3.432 

5,230 

3,525.2 


8,041 

1,798 

19,902 

3,532.6 


973 
1,169 

1,173 
393.3 


455 

788 

491.8 


75 

557 

356.9 


286 

410 

233.4 


3,841 

4,571 
4,947 
494.5 


17,760 
17,763 
678.2 


13,961 
31,113 
1,698.7 


1,361 

1,861 

1,981 

1,105.1 


962 
1,198 
807.5 


3,780 

327 

6,004 

1,065.7 


2,525 

1,760 

10,560 

3,721.7 


294 

171 

937 

330.2 


2,231 

1.589 

9.623 

3.391.4 


1 

6 
2.1 


20 

27 

84 

29.6 


31 
180 
63.4 


184 

112 

667 

235.1 


632 

406 

2,538 

894.5 


1,412 

1,091 

6,429 

2,265.8 


187 

92 

656 

231.2 


See  footnotes  at  end  of  table. 


96 


Table  6. — Index  of  Crime,  Metropolitan  Statistical  Areas.  1991 — Continued 


Metropolitan  Statistical  Area 


Population 


Crime 
Index 
total 


Modified 
Clime 
Index 

total 


Violent 
crime-' 


Property 
cnrae^ 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 

rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


New  Orleans.  La.  MSA 

(Includes  Jefferson,  Orleans.  St. 
Bernard.  St.  Charles.  St.  John  the 
Baptist  and  St.  Tammany  Panshes.) 

City  of  New  Orleans  

Total  area  actually  reporting  

Estimated  total   

Rate  per  100,000  inhabitants  

New  York.  N.Y.  MSA.  

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

City  of  New  York  

Total  area  actually  reporting   

Estimated  total  

Rate  per  100,000  inhabitants  

Norfolk-Vir^oia  Beach-Newport 

News,  Va.  MSA 

(Includes  Gloucester,  James  City  and 
^'ork  Counties,  and  Chesapeake. 
Hampton,  Newport  News,  Norfolk. 
Portsmouth,  Poquoson,  Suffolk. 
Virginia  Beach  and  Williamsburg 
Cities.) 

City  of: 

Norfolk  

Virginia  Beach   

Newport  News    

Total  area  actually  reporting   

Rate  per  100,000  inhabitants  

Norwalk,  Ct.  MSA 

(Includes  pan  of  Fairfield  County.) 

City  of  Norwalk  

Total  area  actually  reporting   

Rate  per  100,000  inhabitants  

Oakland,  Ca.  MSA.^  

(Includes  Alameda  and  Contra  Costa 
Counties.) 

City  of  Oakland'   

Total  area  actually  reporting  

Rale  per  100,000  inhabitants  

Ocala.  n.  MSA 

(Includes  Manon  County.) 

City  of  Ocala  

Total  area  actually  reporting  

Rate  per  100,000  inhabitants  

Odessa,  Tx.  MSA.  

(Includes  Ector  County.) 

City  of  Odessa   

Total  area  artually  reporting   

Rate  per  100.000  inhabitants  

Oklahoma  City.  Ok.  M.Sj\ 

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

City  of  Oklahoma  City  

Total  area  anually  reporting   

Rate  per  100,000  inhabitants  

Olympia,  Wa.  M.SjV.  

(Includes  Thurston  County.) 

City  of  Olympia  

Total  area  actually  reporting   

Estimated  total   

Rate  per  100,000  inhabitants  

Omaha,  Nb.-Ia.  MSA.'  

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

City  of  Omaha.  Nb 

Estimated  total  

Rate  per  100,000  inhabitanB 


See  footnotes  at  end  of  table. 


1,248.294 


500,791 
92.1% 
100.0% 

8,578,871 


7,350,023 
99.5% 
100.0% 


l,418JS5 


2,126,283 


968,086 


623,840 


338,987 
100.0% 


54,238 
104.532 
1 10.343 
8,839.5 


678.855 
726.250 
727,870 
8.484.4 


265,392 

24,529 

399,334 

23,398 

172,755 

11,745 

100.0% 

94,849 

6,687.3 

127,526 

78.423 

5.491 

100.0% 

6.673 

5,232.7 

379,995 

46,308 

100.0% 

158.586 

7.458,4 

199J37 

43.146 

6,357 

100.0% 

13,601 

6,802.6 

121,471 

91.613 

12.800 

100.0% 

14,643 

12,054.7 

449.025 

49,720 

100.0% 

77.912 

8,048.0 

166.248 

34,892 

2.604 

98.6% 

7,882 

100.0% 

8,057 

4,846.4 

24,004 
28.996 
4,648.0 


10.969 
16,905 
17,572 
1.407,7 


170.390 

175.248 
175,371 
2,044.2 


3,074 
1,087 
1.275 
9.019 
635,9 


453 

484 

379,5 


9,484 
22.055 
1,037.3 


761 

2,034 

1,017,3 


848 

913 

751.6 


5,066 
7,008 
723.9 


117 

448 

459 

276.1 


3,242 
3,412 
546.9 


43,269 
87,627 
92,771 
7,431.8 


508,465 
551,002 
552.499 
6,440,2 


21.455 
22,311 
10.470 
85,830 
6,051.4 


5.038 

6.189 

4,853.1 


36.824 
136,531 
6,421.1 


5,596 
11,567 
5,785.3 


11.952 

13,730 

11.303.1 


44,654 
70,904 
7,324.1 


2,487 

7,434 

7.598 

4.570,3 


20,762 
25,584 
4,101.1 


345 
430 
439 

35,2 


2.154 
2,200 
2,202 

25.7 


86 

27 

18 

215 

15.2 


149 
306 

14.4 


6 
13 
6.5 


17 

18 

14.8 


56 
73 
7.5 


35 
36 
5.8 


302 
628 
666 
53.4 


2.892 

3.056 

3,062 

35.7 


205 
127 
107 
703 
49.6 


18 

18 

14.1 


460 
1.021 
48.0 


26 

73 

36.5 


85 
104 
85.6 


473 
666 
68.8 


25 
117 
119 
71.6 


207 
231 
37.0 


5,969 
7.871 
8.038 
643,9 


98.512 
100.817 
100.858 

1.175.7 


1.530 

512 

484 

3.991 

281.4 


210 

216 

169.4 


3.933 

8.327 
391.6 


295 

457 

228.6 


177 

199 

163.8 


1.499 
1,864 
192,5 


27 

60 

63 

37,9 


634 

663 

106,3 


4,353 
7,976 
8,429 
675.2 


66.832 

69,175 

69.249 

807.2 


1,253 

421 

666 

4,110 

289,8 


221 

245 

192.1 


4.942 
12.401 
583.2 


434 
1,491 

745.7 


569 

592 
487.4 


3,038 
4,405 
455.0 


65 

269 

275 

165,4 


2,366 
2,482 
397.9 


12,400 
22,550 
23.791 
1,905.9 


112.015 
120,316 
120,619 
1,406,0 


4,571 
4,162 
2,441 
17,262 

1,217.0 


1.268 

1.545 

1,211.5 


8,848 
30,737 
1,445.6 


1.272 

3.752 

1,876.6 


2.297 

2.738 

2,254.0 


11.825 
18,790 
1.940.9 


366 

1,708 

1,736 

1.044,2 


3,986 
4,861 
779.2 


20.977 
49,942 
53,370 

4,275.4 


256,473 
283,828 
284,852 
3.320.4 


13,935 

16,824 

7.177 

60.248 

4,247.7 


2,984 

3,743 

2.935.1 


20.695 
86.394 
4,063.1 


4.074 

7,185 

3.593,6 


9.129 
10,375 
8,541,1 


26,929 
44.243 
4,570.2 


2,000 

5.397 

5,522 

3.321,5 


15,040 
18,776 
3,009,7 


9,892 
15.135 
15,610 
1.250,5 


139,977 
146.858 
147.028 
1,713.8 


2.949 
1.325 
852 
8.320 
586.6 


786 

901 

706.5 


7.281 
19.400 
912,4 


250 

630 

315.1 


526 

617 

507,9 


5,900 
7,871 
813,0 


121 

329 

340 

204.5 


1,736 
1,947 
312,1 


Table  6. — Index  of  Crime,  Metropolitan  Statistical  Areas,  1991 — Continued 


Metropolitan  Statistical  Area 


Population 


Crime 
Index 
total 


Modified 
Crime 
Index 
total' 


Violent 
cnme- 


Property 
cnme' 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


Orange  County,  N.Y.  M.S.A 

(Includes  Orange  County.) 

Total  area  actually  reporting   

Estimated  total  

Rate  per  100,000  inhabitants  

Owensboro,  Ky.  M.S.A 

(Includes  Daviess  County.) 

City  of  Owensboro   

Total  area  actually  reporting   

Rale  per  100,000  inhabitants  

Oxnard-Veolufa,  Ca.  M.S.A 

(Includes  Ventura  County.) 
City  of 

Oxnard  

Ventura 

Total  area  actually  reporting   

Rate  per  100,000  inhabitants  

Paoama  City,  Fl.  M.S.A 

(Includes  Bay  County.) 

City  of  Panama  City  

Total  area  actually  reporting   

Rale  per  100,000  inhabitants  

Peoria,  II.  M.S.A.' 

(Includes  Peona,  Tazewell  and 
Woodford  Counties.) 

City  of  Peoria'   

Total  area  actually  reporting   

Estimated  total   

Rate  per  100,000  inhabitants  

Philadelphia,  Pa.-NJ.  M.S.A 

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

City  of  Philadelphia,  Pa 

Total  area  actually  reporting   

Estimated  total   

Rate  per  100,000  inhabitants  

Phoenix,  At  M.S.A 

(Includes  Mancopa  County.) 

City  of  Phoenix   

Total  area  actually  reporting   

Rate  per  100.000  inhabitants  

Pine  Bluff,  Ar.  M.S.A 

(Includes  Jefferson  County.) 

City  of  Pine  Bluff  

Total  area  actually  reporting   

Rate  per  100,000  inhabitants  

Pittsburgh,  Pa.  M.S.A.'   

(Includes  Allegheny,  Fayette. 
Washington  and  Westmoreland 
Counties) 

City  of  Pittsburgh'    

Total  area  actually  reporting 

Estimated  total   

Rate  per  100.000  inhabitants 

Piltsfield,  Ma.  M.S.A 

(Includes  part  of  Berkshire  County.) 

City  of  Pitlsfield   

Total  area  actually  reporting   

Estimated  total   

Rate  per  100.000  inhabitants  

Portland,  Me.  M.S.A 

(Includes  part  of  Cumberland  and 
York  Counties.) 

City  of  Portland  

Total  area  actually  reporting   

Rate  per  100.000  inhabitants  


308,786 


98.3% 
100.0% 


87,843 


53.951 
100.0% 


682,947 


342,494 


114.619 
99.3% 
100.0% 

4,886,M5 


2,069,121 


11.065 
11,271 
3,650.1 


2,712 

3.275 

3,728.2 


145,178 

9.808 

93.153 

5.554 

100.0% 

30,235 

4,427.1 

130,319 

35,279 

3,602 

100.0% 

8.783 

6,739.6 

1,596,699 

109,139 

99.3% 

236,226 

100.0% 

237,221 

4,854.6 

2,171,215 

995,895 

99.172 

100.0% 

177,593 

8,179.4 

86,260 

57.657 

5,516 

100.0% 

6,277 

7,276.8 

372.349 

30,603 

95.3% 

69,624 

100.0% 

72,471 

3,502.5 

99,588 

48,457 

2,222 

88.4% 

3,015 

100.0% 

3.463 

3,477.3 

233,596 

62.460 

7.503 

100.0% 

13.309 

5,697.4 

1.256 
1,275 
412.9 


122 

203 

231.1 


1,655 

418 

3,611 

528.7 


357 

872 

669.1 


22,481 

36,996 

37,087 

759.0 


11,010 
16,749 

771.4 


837 

937 

1,086.3 


4.294 
8,620 


429,1 


348 

412 

460 

461,9 


489 

645 

276.1 


9,809 

9,996 

3,237.2 


2,590 

3,072 

3,497.1 


8,153 

5,136 

26,624 

3.898.4 


3,245 

7,911 

6,070.5 


9,193 
14,789 
14,902 
4.351.0 


86,658 
199,230 
200,134 
4.095.6 


88,162 
160,844 
7,408.0 


4,679 

5,340 

6,1906 


26,309 
61,004 
63,593 
3,073.4 


1.874 

2,603 

3,003 

3,015.4 


7.014 
1 2,664 
5,421.3 


13 
13 
4.2 


2 

3 

3.4 


6 

38 
5.6 


5 

12 
9.2 


18 
21 
21 
6.1 


440 
556 
557 
11,4 


128 
203 
9.3 


9 

10 

11.6 


36 
66 
68 
3.3 


4 

6 

2.6 


91 

92 

29.8 


26 

27 

30.7 


74 

42 

235 

34.4 


25 

69 

52.9 


904 
1,732 
1,738 

35.6 


480 
902 
41.5 


54 
64 

74.2 


300 
685 
701 
33.9 


10 

12 

14 

14.1 


76 
99 

42.4 


330 

336 

108.8 


37 

45 

51.2 


518 

145 

975 

142.8 


52 

95 

72.9 


499 
530 

533 
155.6 


13,921 
18,759 
18.779 
384.3 


3,448 

4,727 
217.7 


212 

217 

251.6 


2,704 
3,741 
3,799 
183.6 


31 
38 

47 
47,2 


120 
145 
62,1 


822 

834 

270.1 


57 

128 

145.7 


1,055 

225 

2,363 

346.0 


275 

696 

534.1 


1,129 
1,396 
1.401 
409.1 


7,216 
15,949 
16,013 

327.7 


6,954 
10,917 
502.8 


562 

646 

748.9 


1,254 
4,128 
4,310 
208.3 


305 

360 

397 

398.6 


289 

395 

169.1 


2,391 

2,427 
786.0 


556 
714 


2,125 

1.273 

7,357 

1,077.2 


-     666 

1,897 

1.455.7 


2,503 

3,933 

3,954 

1,154.5 


21,460 

44,575 

44,737 

915.5 


24,219 
40,496 
1,865.1 


1,861 

2,213 

2.565.5 


5.891 
14.299 
14.763 

713.5 


728 

968 

1,066 

1,0704 


1,837 

3,030 

1,297.1 


6.974 

7,108 

2.301.9 


1,926 

2,230 

2.538.6 


5,047 

3,395 

16,304 

2,387.3 


2,432 

5,641 

4,328.6 


6.362 
10.283 
10.364 
3.026.0 


40.880 
113,570 
114,214 
2.337.3 


47.338 
95.039 

4,377.2 


2,426 

2.702 

3,132.4 


12,942 
32,910 
34,753 
1,679.6 


1,018 

1,466 

1,698 

1,705.0 


4,699 

8.927 

3.821.6 


444 

461 

149.3 


108 

128 

145.7 


981 

468 

2,963 

433.9 


147 

373 

286.2 


328 

573 

584 

1705 


24,318 

41,085 

41,183 

842.S 


16,605 
25,309 
1,165.7 


392 

425 

492.7 


7.476 
13.795 
14,077 

680.3 


128 

169 

239 

2400 


478 

.707 

302.7 


See  footnotes  at  end  of  table. 


98 


Table  6. — Index  of  Crime,  Metropolitan  Statistical  Areas,  1991 — Continued 


Melropolitan  Slatistical  Area 


Population 


Cnme 
Index 
total 


Modified 
Cnrae 
Index 
total' 


Violent 
cnme-' 


Properly 
crime^ 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


Ponlaixl,  Or.  M5.A 

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

City  of  Portland  

Total  area  actually  reporting   

Estimated  total   

Rate  per  100,000  inhabitants  

Pooghkeepsie,  N,Y,  M5j\ 

(Includes  Dutchess  County.) 

City  of  Poughkeepsie  

Total  area  actually  reporting  

Estimated  total   

Rate  per  100,000  inhabiunts 

ProvideiKe,  R.I.  IV1.S,A 

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

City  of  Providence  

Total  area  actually  reporting   

Rale  per  100,000  inhabitants  

Provo-Orem,  Ul.  MSA 

(Includes  Utah  County.) 
City  of: 

Provo   

Orem  

Total  area  actually  reporting    

Rate  per  100.000  inhabiunts  

Pueblo,  Co,  MSA 

(Includes  Pueblo  County.) 

City  of  Pueblo 

Total  area  actually  reporting   

Rate  per  100.000  inhabitants  

Racine,  Wi.  MSA 

(Includes  Racine  County.) 

City  of  Racine    

Total  area  actually  reporting   

Rate  per  100.000  inhabitants  

Raleigh-Durham,  N,C.  MSA 

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

Raleigh  

Durham  

Total  area  actually  reporting   

Estimated  total   

Rate  per  100,000  inhabitants  

Rapid  City,  S.D,  MSA 

(Includes  Pennington  County.) 

City  of  Rapid  City  

Total  area  actually  reporting   

Rale  per  100.000  inhabitants  

Reading,  Pa.  MSA 

(Includes  Berks  County.) 

City  of  Reading  

Total  area  actually  reporting   

Estimated  total   

Rate  per  100,000  inhabitants  

Redding,  Ca.  MSA 

(Includes  Shasta  County.) 

City  of  Redding  

Total  area  actually  reporting   

Rate  per  100,000  inhabitants  

Reno,  N».  MSA 

(Includes  Washoe  County.) 

City  of  Reno  

Total  area  actually  repotting   

Rate  per  100.000  inhabitants  


1,274,672 


449,671 

50,281 

99.9% 

86,345 

100.0% 

86,407 

6,778.8 

260,427 

28,952 

2,273 

98.9% 

9.228 

100.0% 

9,342 

3,587.2 

666,025 


160,835 
100.0% 

270,797 


89,211 
69,410 
100.0% 

126,134 

99,990 
100.0% 

177,294 

85,387 
100.0% 

746,925 


16,330 
35,406 
5,316.0 


3,310 

3,089 

10,698 

3,950.6 


7,774 

8,640 

6,849.9 


8,072 
11,110 
6,266.4 


211,350 

16,464 

138,844 

14,181 

99.8% 

49,135 

100.0% 

49,263 

6,595.4 

82,158 

55,070 

4,200 

100.0% 

5.000 

6,085.8 

338,752 

78,903 

7,370 

98.8% 

12,918 

100.0% 

13,032 

3,847.1 

150,097 

67.846 

4,368 

100.0% 

7,336 

4,887,5 

272,077 

143,001 

12,089 

100.0% 

18,831 

6,921.2 

8,121 
10,173 
10,176 

798.3 


374 

971 

980 

376.3 


2,055 
3,391 
509.1 


102 

71 

379 

140.0 


1,610 

1,688 

1,338.3 


866 

955 

538.7 


1.761 
1.614 
4.760 
4.774 
639.2 


324 

406 

494.2 


901 
1,371 
1,381 
407.7 


408 

655 

436,4 


1,134 
1,833 
673.7 


42,160 
76,172 
76,231 
5,980.4 


1,899 

8,257 

8.362 

3,210.9 


14,275 
32,015 
4,806,9 


3,208 

3,018 

10,319 

3,810.6 


6.164 

6.952 

5,511,6 


7,206 
10.155 
5,727.8 


14.703 
12,567 
44,375 
44.489 
5,956.3 


3,876 

4,594 

5,591,7 


6.469 
11,547 
11,651 
3.439.4 


3,960 

6,681 

4.451.1 


10,955 
16,998 
6,247.5 


18 

27 
4.1 


13 

15 

11.9 


25 
30 
77 
77 
103 


3 

3 

3.7 


3 
10 

6.7 


9 
21 

7.7 


464 
825 
825 
64,7 


13 

47 

47 

18.0 


107 
199 
29,9 


41 

30 
105 
38,8 


80 


69.8 


34 

41 

23.1 


120 
98 
292 
293 
39.2 


61 

97 

118.1 


72 
107 
71.3 


167 
254 
93.4 


2,723 
3,371 
3,372 
264,5 


197 

269 

272 

104  4 


804 

974 

146.2 


17 
6 

33 
12,2 


152 

162 

128.4 


377 

406 

229.0 


652 

771 

1,721 

1,725 

230,9 


52 

53 

64.5 


467 

517 

519 

153.2 


96 
126 
83.9 


427 

555 

204.0 


4,881 
5,902 
5,904 
463.2 


158 

642 

648 

248.8 


1,126 
2,191 
329.0 


44 

35 

240 

88.6 


1,365 

1,423 

1,128,2 


446 

498 

280.9 


964 

715 

2,670 

2,679 

358.7 


208 

253 

307,9 


388 
768 

775 
228.8 


237 
412 

274.5 


531 
1,003 
368.6 


9,503 
17.177 
17.188 
1,348,4 


572 
1,909 
1,929 
740.7 


3,707 

7,715 

1,158.4 


424 

247 

1.260 

465.3 


1.547 

1,744 

1,382,7 


1,644 

2.184 

1,231.9 


3,934 
5,007 
14,301 
14,332 
1,918.8 


574 

744 

905.6 


2,080 
3,136 
3,155 
931,4 


986 

1,904 

1,268.5 


2.155 

3,617 

1,329,4 


26.250 
49,401 
49,445 
3,879.0 


1,217 

5,937 

6,012 

2,308.5 


6,865 
18,281 

2.744,8 


2,642 

2.681 

8.666 

3,200.2 


4,267 

4,824 

3,824,5 


4,547 

6,801 

3,836,0 


9,881 

6,802 

27,528 

27.605 

3,695.8 


3.124 

3.630 

4.418.3 


3,744 

7,444 

7.518 

2,219,3 


2,679 

4,286 

2,855,5 


8,168 
12,375 
4.548,3 


6,407 
9.594 
9,598 
753.0 


110 

411 

421 

161.7 


3.703 
6,019 
903,7 


142 

90 

393 

145,1 


350 

384 

304,4 


1.015 
1,170 
659.9 


758 
2,546 
2,552 
341.7 


178 

220 

267.8 


645 

967 

978 

288.7 


295 

491 

327.1 


632 
1,006 
369.7 


See  footnotes  at  end  of  table. 


99 


Table  6. — Index  of  Crime,  Metropolitan  Statistical  Areas,  1991 — Continued 


Metropolitan  Statistical  Area 


Population 


Cnrae 
Index 
total 


Modified 
Clime 
Index 
total' 


Violent 
cnme- 


Property 
crime' 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


RichUod-Kennewick-Pasco,  Wa. 

M.S.A 

(Includes  Benton  and  Franklin 
Counties.) 
City  of: 

Richland    

Kennewick   

Pasco  

Total  area  actually  reporting   

Rate  per  100.000  inhabitants  

Richmond-Petersburg,  Va.  M.S.A 

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

Richmond 

Petersburg  

Total  area  actually  reporting    

Rate  per  100.000  inhabitants  

Roanoke,  Va.  M.S.A 

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

City  of  Roanoke  

Total  area  actually  reporting   

Rate  per  100,000  inhabitants  

Rochester,  Mn,  M,S.A 

(Includes  Olmsted  County.) 

City  of  Rochester    

Total  area  actually  reporting   

Rate  per  100.000  inhabitants  

Rochester,  N.V.  M.S,A 

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

City  of  Rochester    

Total  area  actually  reporting  

Rate  per  100.000  inhabitants  

Rockford,  II.  M.S.A.'  

(Includes  Boone  and  Winnebago 
Counties.) 

City  of  Rockford'   

Total  area  actually  reporting   

Rate  per  100.000  inhabitants  

Sacramento.  Ca.  M,S,A 

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

City  of  Sacramento  

Total  area  actually  reporting   

Rate  per  100,000  inhabitants  

Saginaw-Bay  City-Midland.  Mi. 

M.S.A 

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

Saginaw   

Bay  City   

Midland  

Total  area  actually  reporting   

Estimated  total   , . . 

Rale  per  100,000  inhabitants  

St.  Cloud.  Mn,  M.S.A 

(Includes  Benton.  Sherburne  and 
Steams  Counties.) 

City  of  St.  Cloud  

Total  area  actually  reporting  

Rate  per  100.000  inhabitants  

St,  Joseph,  Mo.  M.S.A 

(Includes  Buchanan  County.) 

City  of  St.  Joseph  

Total  area  actually  reporting   

Rate  per  100,000  inhabitants  


154.694 


33,319 
43,465 
20,969 
100.0% 

879.431 


206,292 
38,997 
100.0% 

228,052 


97.933 
100.0% 

107,853 

71,665 
100.0% 

1,006,149 


232,504 
100.0% 

286.501 


140.796 
100.0% 

1,511,943 


377,058 
100.0% 


402.426 


193,395 


1.283 
3.716 
2,274 
9,051 
5,850.9 


23,917 

3,266 

54,829 

6,234.6 


8,754 
12,626 
5,536.5 


3,665 

4,310 

3,996.2 


26,030 
52,837 
5,251.4 


38,076 
109,011 
7,210,0 


70,055 

8.744 

39,240 

2.433 

38,349 

1,427 

99,4% 

23,406 

lOO.O^o 

23,536 

5,848.5 

49,445 

3,032 

100.0% 

6,473 

3,347.0 

83,74* 

72.426 

4,607 

100.0% 

4,817 

5,751.9 

43 

139 

220 

602 

389.2 


3,414 

450 

5,203 

591.6 


718 

908 

398.2 


130 

152 

140.9 


2.409 
3,443 
342.2 


4.896 
12.011 
794.4 


116 

245 
126.7 


346 
395 

471.7 


1,240 
3,577 
2,054 
8,449 
5,461.8 


20,503 

2,816 

49,626 

5,643.0 


8,036 
11,718 
5,138.3 


3,535 

4,158 

3,855.2 


23,621 
49,394 
4,909.2 


12,725 
18,886 
6,591  9 


33,180 
97.000 
6.415-6 


2,391 

6.353 

236 

2.197 

63 

1,364 

3,668 

19,738 

3,679 

19,857 

914.2 

4,934.3 

2,916 

6,228 

3,220.4 


4,261 

4,422 

5,280.3 


2 

3 

5 

3.2 


116 


157 
17.9 


14 
16 
7.0 


64 

76 
7.6 


66 
147 
9.7 


3 

6 

3.1 


2.4 


32 

21 

107 

69.2 


150 

33 

326 

37.1 


50 

73 

32.0 


17 

18 

16.7 


166 
262 
26.0 


221 
691 
45.7 


198 

39 

30 

418 

419 

104,1 


23 

57 

29.5 


33 
38 

45.4 


4 

41 

49 

98 

63.4 


1,449 

139 

2,086 

237.2 


272 

310 

135.9 


27 

27 

25.0 


1.367 
1.639 
162.9 


531 

584 

203.8 


2,280 
4,304 
284.7 


576 

43 

3 

772 

775 

192.6 


11.4 


35 

37 

44.2 


31 

64 
147 
392 

253.4 


1,699 

270 

2,634 

299.5 


382 

509 

223.2 


86 
107 
99.2 


1.466 

145.7 


958 
1,167 
407.3 


2,329 
6,869 
454.3 


1,586 
152 
30 
2,437 
2,444 
607,3 


75 
160 

82.7 


276 
318 

379.7 


402 

1,772 
1,145.5 


4,822 
-  710 
10,042 
1,141.9 


1,606 
2,238 
981.4 


656 

867 

803.9 


5,980 
10,114 
1,005.2 


3,418 

4,866 

1,698.4 


7,753 
23,876 
1,579,2 


2,041 

470 

133 

4,480 

4,500 

1,118.2 


385 
1,035 
535.2 


821 

875 

1.044.8 


996 

2,766 

1,544 

6,339 

4,097,8 


12,941 

1,869 

35,318 

4,016.0 


6,085 

9,000 

3,946.5 


2,714 

3,070 

2,846.5 


15,644 
35,948 
3,572.8 


8.079 
12,496 
4,361.6 


17,870 
56,262 
3,721.2 


3,931 
1,592 
1,192 
14,264 
14,350 
3,565.9 


2,362 

4,795 

2,479.4 


3,178 

3,271 

3,905,9 


36 
123 
108 
338 

218.5 


2,740 

237 

4,266 

485.1 


345 

480 

210.5 


165 

221 
204.9 


1,997 
3,332 
331.2 


1.228 
1,524 
531.9 


7,557 
16,862 
1,115.3 


381 

135 

39 

994 

1,007 

250,2 


169 

398 

205,8 


262 

276 

329.6 


See  footnotes  at  end  of  table. 


100 


lable  6. — Index  of  Crime,  Metropolitan  Statistical  Areas,  1991 — Continued 


Metropolitan  Statistical  Area 


Population 


Cnme 
Index 
total 


Modified 
Crime 
Index 
total' 


Violent 
cnme- 


Property 
crime' 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


»t.  Uuis,  Mo.-II.  M.S.A.*  

(Includes  St.  Louts  and  Sullivan  cities 
nd  Franklm.  Jefferson.  St.  Charles  and 
.t   Louis  Counties.  Mo.,  and  Clinton. 
ersc>,  Madison,  Monroe,  and  St.  Clair 
ounties,  11.) 

City  of  St.  Louis   

Total  area  actually  reporting   

Estimated  total   

Rate  per  100,000  inhabitants  

oilem.  Or.  M.S.A 

(Includes  Marion  and  Polk  Counties.) 

City  of  Salem    

Total  area  actually  reporting   

Estimated  total   

Rate  per  100,000  mhabilanls  

•alem-Gloucesler,  Ma.  M.S.A 

(Includes  part  of  Essex  County.) 
City  of 

Salem    

Gloucester  

Total  area  actually  reporting   

Estimated  total   

Rate  per  100.000  inhabitants  

>alina$-Seaside- Monterey,  Ca.  M.S^.  ... 
(includes  Monterey  County.) 
City  of: 

Salinas    

Seaside  

Monterey  

Total  area  actually  repotting   

Rate  per  100.000  inhabitants  

;alt  Lake  City-Ogden,  Ut.  M.S.A 

(includes  Davis.  Salt  Lake  and  Weber 
Counties.) 
City  of: 

Salt  Lake  City  

Ogden  

Total  area  actually  reporting   

Estimated  total   , 

Rate  per  100.000  inhabitants  

ian  Angelo.  Tx.  M.S.A , 

(Includes  Tom  Green  County.) 

City  of  San  Angelo  

Total  area  actually  reporting   

Rate  per  100.000  inhabitants  

ian  Antonio.  Tx.  M.S.A 

(Includes  Bexar.  Comal  and 
Guadalupe  Counties.) 

City  of  San  Antonio  

Total  area  actually  reporting   

Rate  per  100.000  inhabitants  

Jan  Diego,  Ca.  M.S.A 

(Includes  San  Diego  County.) 

City  of  San  Diego  

Total  area  actually  reporting   

Rate  per  100.000  inhabitants  

ian  Francisco.  Ca.  M.S.A 

(Includes  Mann,  San  Francisco  and 
San  Mateo  Counties.) 

City  of  San  Francisco  

Total  area  actually  reporting    

Rate  per  100,000  inhabitants  

«n  Jose,  Ca.  M.S.A 

(Includes  Santa  Clara  County.) 

City  of  San  Jose    

Total  area  actually  reporting   

Rate  per  100.000  inhabitants  


2.475.642 


399,858 

64,103 

99,4% 

155,236 

100.0% 

156,079 

6.304.6 

285,246 

110,806 

9,398 

99.3% 

17.516 

100.0% 

17,618 

6.176.4 

263,451 


37,961 
28.618 
96.6% 
100.0% 

363,061 


111,042 
39.711 
32,619 
100.0% 

1,101,605 


1.329,872 


955,905 
100.0% 

2.550,044 

1.133,681 
100.0% 

1,637,068 


739,039 
100.0% 


1,528,762 


798,542 
100.0*0 


1,756 
1,037 
9.912 
10.259 
3.894.1 


7,651 

1,697 

2,099 

17,870 

4.922.0 


164,313 

20,835 

65.658 

5,618 

99.5% 

74,376 

100.0*0 

74,668 

6,778.1 

100,558 

86.276 

5,685 

100.0% 

6.18: 

6,146.7 

117,486 
139,012 
10,453.0 


96,781 
173.924 
6.820.4 


69.350 
111.167 
6,7906 


42,836 
77,009 
5,037,3 


14,076 
23,147 
23,208 

937.5 


383 
1,144 
1,150 
403.2 


194 
255 
806 
843 
320.0 


7,573 
9.472 
712.2 


13,830 
24,653 
966.8 


12,160 
16,104 
983.7 


5.258 
7,986 
522.4 


50,027 
132,089 
132,871 
5,367.1 


9,015 
16,372 
16.468 

5.773.3 


1.562 

782 

9,106 

9,416 

3,574.1 


1,107 

6,544 

372 

1.325 

189 

1,910 

2,300 

15.570 

633.5 

4.288.5 

1.319 

19,516 

366 

5,252 

4,104 

70,272 

4,117 

70,551 

373.7 

6.404.4 

495 

5.190 

615 

5.566 

611.6 

5.535.1 

109,913 
129,540 
9,740.8 


82,951 
149,271 
5,853.7 


57,190 
95,063 
5,806.9 


37,578 
69.023 
4,515.0 


260 
408 


16.5 


10 
10 
35 


7 

7 

2.7 


25 
6,9 


39 
39 
3.5 


7 

7 

7.0 


208 
238 
17.9 


167 
278 
109 


95 
151 
9.2 


53 

77 
5.0 


342 
693 
696 

28.1 


90 
192 
193 

67.7 


12 

3 

47 

48 

18.2 


42 
26 
20 

144 
39.7 


182 
56 
587 
589 
53.5 


41 

51 

50.7 


789 
59.3 


472 
969 
38.0 


400 
586 
35.8 


445 
684 
44.7 


5,294 
7,833 
7,855 
317.3 


217 

342 

344 

120.6 


36 
3 

116 
123 
46.7 


253 
103 
40 
516 
142.1 


474 
96 
901 
903 
82.0 


41 

44 

43.8 


3,778 
4,073 
306.3 


5,331 
8,399 
329,4 


7.020 
8.227 
502.5 


1.328 
1.990 
130.2 


8,180 
14,213 
14,249 

575.6 


74 
600 
603 

211.4 


145 
249 
636 
665 
252.4 


805 

237 

127 

1,615 

444.8 


649 

212 

2,577 

2,586 

234.7 


406 

513 

510.2 


2,889 
4,372 
328.8 


7,860 
15,007 
588.5 


4,645 
7,140 
436.1 


3,432 
5,235 
342.4 


13,396 
35,739 
35.938 
1,451.7 


1,808 

3,472 

3,490 

1.223.5 


361 

186 

2,079 

2,155 

818.0 


1,173 

255 

383 

3,508 

966.2 


3.460 

783 

11.260 

11,301 

1.025.9 


1,262 

1,363 

1,355.4 


24,941 
30.593 
2.300.4 


17,088 
34,901 
1,368.6 


10,604 
17,480 
1,067.8 


7,403 
13,021 
851.7 


27,381 
79,986 
80,507 
3,252.0 


6.679 
11,885 
11,956 
4,191.5 


844 

511 

5,557 

5.737 

2,177.6 


4,823 

960 

1,408 

10,982 

3,024.8 


14,602 
4.229 
55.652 
55.880 
5.072.6 


3.737 

4,005 

3.982.8 


70.559 
82,652 
6,215.0 


44,645 
79,967 
3,135.9 


34,679 
60.727 
3.709.5 


25.663 
48,991 
3,204.6 


9,250 
16,364 
16,426 

663.5 


528 
1,015 
1,022 
358.3 


357 

85 

1,470 

1,524 

578,5 


548 

110 

119 

1,080 

297.5 


1,454 
240 
3,360 
3,370 
305.9 


191 

198 

196.9 


14,413 
16,295 
1,225.3 


21,218 
34,403 
1,349.1 


11,907 
16,856 
1,029.6 


4.512 
7,011 
458.6 


iec  footnotes  at  end  of  table. 


101 


Table  6.— Index  of  Crime,  Metropolitan  Statistical  Areas,  1991 — Continued 


Metropolitan  Statistical  Area 


Santa  Barbara-Santa  Maria-Lompoc 

Ca.  M.S.A 

(Includes  Santa  Barbara  County.) 
City  of: 

Santa  Barbara   

Santa  Maria  

Lompoc   

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

Santa  Cniz,  Ca.  M.S.A 

(Includes  Santa  Cruz  County.) 

City  of  Santa  Cruz  

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

Santa  Rosa-Petaluma,  Ca.  M.SA 

(Includes  Sonoma  County.) 
City  of: 

Santa  Rosa  

Petaluma  

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

Sarasota,  Fl.  M.S.A 

(Includes  Sarasota  County.) 

City  of  Sarasota  

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

Savannah,  Ga.  M.S.A 

(Includes  Chatham  and  Effingham 
Counties.) 

City  of  Savannah  

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

Seattle,  Wa,  M.S.A 

(Includes  King  and  Snohomish 
Counties.) 

City  of  Seattle  

Total  area  actually  reporting   ... 

Estimated  total — 

Rate  per  100,000  inhabitants  ... 

Sharon,  Pa.  M.S.A 

(Includes  Mercer  County.) 

City  of  Sharon    

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

Sheboygan,  Wi.  M,S,A 

(Includes  Sheboygan  County,) 

City  of  Sheboygan  

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

Sherman-Denison,  Tx.  M.S.A 

(Includes  Grayson  County.) 
City  of: 

Sherman  

Denison  

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

Shreveport,  La,  M.S.A 

(Includes  Bossier  and  Caddo 
Parishes.) 

City  of  Shreveport  

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

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

(Includes  Minnehaha  County.) 

City  of  Sioux  Falls  

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

Spokane,  Wa.  M,S,A 

(Includes  Spokane  County.) 

Ciiy  of  Spokane  

Total  area  actually  reporting   ... 

Estimated  total   

Rate  per  100,000  inhabitants  ... 


Population 


377,304 


87,353 
62,560 
38,433 
100.0% 

234,SI6 

50,061 
100.0% 

396,305 


115,673 

6,981 

44,083 

1,914 

100.0% 

18,556 

4,682.3 

281,501 

52,296 

7,826 

100.0% 

20,195 

7,174.0 

248,039 


140,634 
100.0% 

2,033,733 


97,046 


32,275 
21,963 
100.0% 

336.876 


Cnme 
Index 
total 


5,240 

4.562 

1,881 

18,313 

4,853.6 


3,991 
13,707 
5,844.8 


13,798 
19,722 
7,951.2 


532,418 

65,208 

99.8% 

145,244 

100.0% 

145,490 

7,153.8 

121.802 

17,609 

589 

100.0% 

2,842 

2,333.3 

105,219 

50,318 

3,229 

100.0% 

4,433 

4,213.1 

2,874 

2,355 

6.465 

6,661.8 


200,031 

20,199 

100.0% 

26,845 

7,968.8 

125.110 

101.885 

5.184 

100.0% 

5,625 

4,496.0 

372.597 

182.705 

16,218 

96.3% 

23,674 

100.0% 

24,672 

6,621.6 

Modified 
Crime 
Index 
total' 


Violent 
crime' 


673 

423 

182 

1,882 

498.8 


384 
1,253 
534.3 


670 
181 

1,757 
443.3 


823 
1,707 
606.4 


1.737 
2,072 
835.4 


7,221 
12,116 
12,130 

596.4 


90 

313 

257.0 


95 
138 

131.2 


227 

163 

440 

453.4 


2,517 
3,131 
929.4 


378 

400 

319.7 


1.283 
1.523 
1.580 
424.1 


Property 
crime' 


4,567 
4,139 
1,699 
16,431 
4,354.8 


3,607 
12,454 
5,310.5 


6,311 

1,733 

16,799 

4,238,9 


7,003 
18,488 
6,567.6 


12.061 
17,650 
7,115.8 


57,987 
133,128 
133,360 
6,557.4 


499 

2,529 

2,076.3 


3,134 

4,295 

4,082.0 


2,647 

2,192 

6,025 

6,208.4 


17,682 
23,714 
7,039.4 


4,806 

5,225 
4.176.3 


14,935 
22,151 
23,092 
6,197.6 


Murder 
and  non- 
negligent 

man- 
slaughter 


18 
4.8 


6 
14 
6.0 


6 
1 

19 
4.8 


50 
58 

17.2 


7 
9 
9 

2.4 


Forcible 
rape 


38 
23 
21 
150 
39.8 


26 

79 

33.7 


84 

15 

190 

47.9 


45 

90 

32.0 


113 
129 
52.0 


398 
1,494 
1.496 

73.6 


9 

29 
23.8 


12 

17 

16.2 


43 
44.3 


120 

171 
508 


96 

76,7 


98 
153 
163 
43.7 


Robbery 


150 
132 
42 
386 
102.3 


85 

251 

107.0 


173 

26 

326 

82.3 


364 

512 

181.9 


989 
1,124 
453.2 


2.761 
4,193 
4,197 
206.4 


25 

52 

42.7 


19 

23 

21.9 


97 

20 

128 

131.9 


725 

810 

240.4 


32 

35 

28.0 


372 

428 

443 

118.9 


Aggra- 
vated 
assault 


480 

265 

119 

1,328 

352,0 


267 

909 

387.6 


407 

139 

1,222 

308,3 


408 
1,090 

387.2 


576 

756 

304.8 


4,019 
6,347 
6,355 
312.5 


53 

228 

187,2 


64 

98 

93.1 


97 

137 

266 

274.1 


1.622 
2.092 
621.0 


256 

267 

213.4 


806 

933 

965 

259.0 


Burglary 


1,213 
797 
286 

4,376 
1,159.8 


730 

2,670 

1,138,5 


1,274 

364 

4,114 

1,038,1 


1,994 

5,040 

1,790.4 


2,869 

4,479 

1,805.8 


10,639 
25.842 
25,881 
1,272.6 


123 

537 

440.9 


424 

696 

661.5 


694 

533 

1,670 

1,720.8 


4,539 

6,121 

1,817.0 


800 

949 

758.5 


3,298 

5,313 

5,473 

1,468,9 


Larceny- 
theft 


3,015 

3,127 

1,347 

11,185 

2,964.5 


2,631 

9,013 

3,843,2 


4.526 

1,237 

11.443 

2.887.4 


4,676 
12,623 
4,484.2 


7,801 
11,356 
4,578.3 


40,502 
94,132 
94,310 
4,637.3 


331 

1,794 

1,472.9 


2,622 

3,458 

3,286.5 


1,771 

1,579 

4,036 

4,158.9 


12,080 
16,111 
4,782.5 


3,837 
4,097 

3,274.7 


10,916 
15,612 
16,332 
4,383.3 


Motor 
vehicle 
theft 


339 

215 

66 

870 

230.6 


246 

771 

328.8 


511 

132 

1.242 

313.4 


333 

825 

293.1 


1,391 
1,815 

731.7 


6,846 
13,154 
13,169 

647,5 


162.6 


141 
134.0 


182 

80 

319 

328.7 


1.063 
1,482 
439.9 


169 

179 

1.43.1 


721 
1.226 
1.287 
345.4 


See  footnotes  at  end  of  table. 


102 


Table  6. — Index  of  Crime,  Metropolitan  Statistical  Areas,  1991 — Continued 


Melropohtan  Stalislical  Area 


Springfield.  II.  M.S.A.'  

(Includes  Menard  and  Sangamon 
Counties.) 

City  of  Spnngfield^  

Total  area  actually  reporting   .... — 

Estimated  total   

Rale  per  100,000  inhabitants  

Springfield.  Mo.  M.S.A 

(Includes  Christian  and  Greene 
Counties.) 

City  of  Spnngfield    

Total  area  actually  reporting   

Rale  per  100,000  inhabitants  

Springfield.  Ma.  M.S.A 

(Includes  part  of  Hampden  and 
Hampshire  Counties.) 

City  of  Spnngfield    

Total  area  actually  reporting   

Estimated  total   

Rale  per  100,000  inhabitants  

iumford.  Ct.  M.S.A 

(Includes  part  of  Fairfield  County.) 

City  of  Stamford 

Total  area  actually  reporting   

Rate  per  100.000  inhabitants  

ileubenville-Weirton.  Oh.-W.V.  MSA.   .. 
(Includes  Jefferson  County.  Oh.,  and 
Brooke  and  Hancock  Counties.  W.V.) 
City  of: 

Steubenville.  Oh. 

Weirton.  W.V 

Total  area  actually  reporting    

Rate  per  100,000  inhabitants  

Stockton.  Ca.  M.S.A 

(Includes  San  Joaquin  County.) 

City  of  Stockton  

Total  area  actually  reporting   

Rate  per  100,000  inhabitants  

Syracuse,  N.Y.  M.S.A 

(Includes  Madison,  Onondaga  and 
Oswego  Counties.) 

City  of  Syracuse  

Total  area  actually  reporting   

Rale  per  100.000  inhabitants  

racoma,  Wa.  M.S.A 

(Includes  Pierce  County.) 
Cily  of  Tacoma    

(Total  area  actually  reporting  
Estimated  total 

Rate  per  100.000  inhabitants  

Tallahassee,  Fl.  M.S.A 

(Includes  Gadsden  and  Leon  Counties.) 
City  of  Tallahassee  

I  Total  area  actually  reporting 
Estimated  total  
Rale  per  100,000  inhabitants  

Fampa-Sl.  Petersburg-Clearwater,  Fl. 
VI.S.A 


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

Tampa   

St.  Petenburg  

Clearwater  

Total  area  actually  reporting   

Estimated  total   

Rate  per  100.000  inhabitants  


Population 


See  footnotes  at  end  of  table. 


191.406 


106,261 

98.7% 
100.0% 

242,516 


141.617 
100.0% 


536,670 


156,450 

17,480 

82.9% 

31,116 

100.0% 

34,661 

6,458.5 

202,794 

108.183 

6,503 

100.0% 

8,874 

4,375.9 

143.456 


22.312 
22,215 
IO0.0% 

490,636 

215,336 
100.0% 

662,698 


164,474 
100.0% 

605,079 

182.156 
99.5% 
lOO.O'Co 

239,718 

128.043 
99.3% 
100.0% 


2,122,145 


287.354 
244,883 
99.990 
99.9% 
100.0% 


Cnme 
Index 
total 


11,905 
13.946 
5.750.5 


1.401 

634 

3.445 

2.401.4 


24,390 
41.179 
8.393.0 


12.707 
28,717 
4,333.3 


20,560 
42,012 
42,232 
6,979.6 


19.927 

27,073 

27.216 

11.353.3 


47.576 
26.993 
9,452 
175.370 
175.456 
8.267.9 


Modified 
Cnme 
Index 
total' 


Violent 
cnme^ 


635 

729 

300.6 


2,944 
4,361 
4,745 
884.2 


567 

617 

304.2 


363 

27 

625 

435.7 


2,773 
4,368 
890.3 


1,559 
2.129 
321.3 


3.583 
5.721 
5,733 
947.5 


2,825 

3,990 

4,006 

1,671.1 


10,362 
5,824 
994 
26,826 
26.835 
1.264,5 


Property 
cnme' 


9,202 

10 

10,793 

10 

10,910 

10 

5.699.9 

5,2 

11,270 
13.217 
5.449.9 


14.536 
26.755 
29.916 
5.574.4 


5.936 

8.257 

4.071.6 


1.038 

607 

2.820 

1.965.8 


21.617 
36.811 
7.502.7 


11.148 
26.588 
4.0I2.I 


16.977 
36.291 
36.499 
6.032.1 


17.102 
23,083 
23,210 
9,682.2 


37,214 
21.129 
8.458 
148,544 
148,621 
7.003,3 


Murder 
and  non- 
negligent 

man- 
slaughter 


4 

5 

2.1 


13 
19 
21 
3.9 


10 
10 
4.9 


1.4 


55 

65 

13.2 


13 
18 

2.7 


31 
54 
54 
8.9 


14 

24 

24 

10.0 


64 
33 
2 
176 
176 
8.3 


Forcible 
rape 


54 

68 

28.0 


146 

241 
256 
47.7 


25 

32 

15.8 


7 
3 
II 

7.7 


161 
282 

57.5 


86 
167 

25.2 


277 

606 

608 

100,5 


119 
185 


77.6 


347 

184 

40 

1,148 

1.148 

54,1 


Robbery 


324 

341 

344 

179.7 


151 
163 

67.2 


807 
1.005 
1.078 
200.9 


297 

316 

155.8 


28 

7 

43 

30.0 


1,493 
1,851 
377.3 


608 

724 

109.3 


1. 100 
1.633 
1.636 
270.4 


833 

970 

975 

406.7 


3,094 
2,015 
295 
7.330 
7.333 
345.5 


Aggra- 
vated 
assault 


768 

902 

908 

474.4 


426 

493 

203.3 


1.978 
3.096 
3,390 
631.7 


235 
259 

127.7 


326 

17 

569 

396.6 


1,064 
2,170 
442,3 


852 
1.220 
184,1 


2.175 
3.428 
3.435 

567.7 


1,859 

2,811 

2.821 

1,176.8 


6.857 
3.592 
657 
18.172 
18.178 
856.6 


Burglary 


2.475 

3.083 

3.105 

1.622.2 


2.560 

3.239 

1.335.6 


4.024 

7.089 

7.863 

1.465. 1 


1.236 
1,661 
8I9.I 


276 

116 

840 

585.5 


4.926 

9.1 10 

1.856.8 


3.328 
6.093 
919.4 


3.752 

8.122 

8,157 

1,348.1 


4,889 

7,272 

7,303 

3,046.5 


11,239 
5.543 
2.029 
39.402 
39.421 
1.857,6 


Larceny- 
theft 


6.332 

7.213 

7,297 

3,812.3 


8,275 

9,459 

3,900.4 


6,794 
14,430 
16,265 
3,030.7 


3,741 

5,337 

2,631.7 


714 

435 

1.782 

1.242.2 


12,859 
22.077 
4.499.7 


7,108 
19,302 
2.912,6 


11,677 
25,382 
25,541 
4,221.1 


10,882 
14,098 
14,182 
5,916.1 


20,072 
I3.II6 
5,953 
93,004 
93,055 
4,385,0 


Motor 
vehicle 
theft 


395 

497 

508 

265.4 


435 

519 

214.0 


3,718 

5,236 

5,788 

1,078.5 


959 
1,259 
620,8 


48 
56 


138.0 


3,832 

5,624 

1,146,3 


712 
1,193 
180,0 


1,548 
2.787 
2.801 
462.9 


1,331 
1,713 
1,725 
719.6 


5,903 
2,510 
476 
16.138 
16.145 
760.8 


Table  6. — Index  of  Crime,  Metropolitan  Statistical  Areas,  1991 — Continued 


Metropolitan  Statistical  Area 


Population 


Cnme 
Index 
total 


Modified 
Crime 
Index 
total' 


Violent 
cnme- 


Property 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


Texirluiiia,  Tx.-Texariomn,  Ar. 

M.S.A 

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

Texarkana.  Tx 

Texarkana.  Ar 

Total  area  actually  reporting   

Rate  per  100.000  inhabitants  

Toledo,  Oh.  M.S.A 

(Includes  Fulton.  Lucas  and 
Wood  Counties.) 

City  of  Toledo 

Total  area  actually  reporting   

Estimated  total   

Rate  per  100.000  inhabitants  

Topeka.  Ks.  M.S.A 

(Includes  Shawnee  County.) 

City  of  Topeka  

Total  area  actually  reporting   

Rate  per  100.000  inhabitants  

Trenton,  NJ.  M.S.A 

(Includes  Mercer  County.) 

City  of  Trenton    

Total  area  actually  reporting   

Rate  per  100.000  inhabitants  

Tucson,  Az.  M.S.A 

(Includes  Pima  Countv.) 

City  of  Tucson   

Total  area  actually  reporting    

Rate  per  100.000  inhabitants  

Tulsa,  Ok.  M.S.A 

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

City  of  Tulsa  

Total  area  actually  reporting   

Estimated  total   

Rate  per  100.000  inhabitants  

Tuscaloosa,  Al.  M.S.A 

(Includes  Tuscaloosa  County.) 

City  of  Tuscaloosa   

Total  area  actually  reporting   

Rale  per  100.000  inhabitants  

Tyler,  Tx.  M.S.A 

(Includes  Smith  County.) 

City  of  Tyler  

Total  area  actually  reporting   

Rate  per  100.000  inhabitants  

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

(Includes  Herkimer  and  Oneida 
Counties.) 
City  of: 

Utica  

Rome 

Total  area  actually  reporting   

Estimated  total   

Rate  per  100,000  inhabitants  

Vallejo-Fairfield-Napa,  Ca,  M.S.A 

(Includes  Napa  and  Solano  Counties.) 
City  of: 

Vallejo 

Fairfield 

Napa   

Total  area  actually  reporting   

Rate  per  100.000  inhabitants  

Vancouver.  Wa.  M.S.A 

(Includes  Clark  County.) 

City  of  Vancouver  

Total  area  actually  reporting    

Rate  per  100.000  inhabitants  


122,219 


32.331 
22.835 
100.0% 

619,320 


715,565 


315,478 


68,894 
28,501 
96.6% 
100.0% 

460,579 


3.576 
3.271 


7,108.6 


335,763 

31.907 

98,9% 

43.285 

100.0% 

43.596 

7,0.39,3 

162,105 

120,725 

12,598 

100.0% 

13,860 

8,550.0 

327,074 

89.017 

9,670 

100,0% 

20,150 

6,1607 

682,302 

414.766 

43,139 

100.0% 

57,070 

8,364.3 

370,735 

32,947 

99.9% 

45,267 

100,0% 

45,293 

6,329.7 

152,284 

78,690 

8,289 

100,0% 

12,374 

8,125,6 

154,468 

77,060 

8,850 

100.0% 

11,704 

7,577.0 

4,002 

976 

10,381 

10,796 

3,422  1 


111,473 

8.992 

78.819 

5.928 

63.130 

3.362 

100,0% 

26.812 

5.821.4 

247,846 

47,821 

3,105 

100.0% 

10,838 

4.372.9 

358 

335 

900 

736.4 


3.486 
4,139 
4,160 

671.7 


1,427 
1,507 
929.6 


1.833 

2.254 
689  1 


3,896 
4,700 


4.923 
5,937 
5.938 
829.8 


1.025 
1.470 
965.3 


750 

979 

633.8 


258 
10 

575 

611 

193,7 


1,610 

630 

322 

3,468 

753,0 


376 

735 

296,6 


3,218 

2,936 

7,788 

6,372.2 


28,421 
39,146 
39,436 
6,367.6 


11,171 
12,353 
7,620.4 


7.837 
17,896 
5,471.5 


39,243 
52,370 
7,675.5 


28,024 
39,330 
39,355 
5,499.8 


7.264 
10.904 
7.160.3 


8,100 
10,725 
6,943.2 


3,744 
966 

9,806 
10,185 
3,228.4 


7.382 

5.298 

3,040 

23,344 

5,068,4 


2,729 
10,103 
4,076.3 


5 

14 
11.5 


36 
39 
39 
6.3 


16 

17 

10.5 


7 

10 
3.1 


24 
44 
6.4 


7 

10 
6.6 


12 

18 

11.7 


14 
14 
4.4 


I 
35 
7.6 


27 

28 

76 

62.2 


418 
496 
498 
80.4 


79 
85 

52.4 


111 
140 
42.8 


332 
427 
62.6 


414 
497 
497 
69.5 


67 
84 

55.2 


90 
104 
67.3 


31 


65 

67 

21.2 


71 

40 

22 

220 

47.8 


38 
105 

42.4 


101 

117 

255 

208.6 


1.807 
1.965 
1,971 
318,3 


332 

341 

210,4 


693 

888 

271.5 


1,077 
157.8 


1.469 
1.610 
1,610 
225.0 


223 

262 

172.0 


160 
184 

119  1 


162 

4 

211 

222 
70,4 


539 

205 

61 

982 

213.2 


91 
199 
80.3 


225 

185 

555 

454.1 


1.225 
1.639 
1,652 
266.7 


1,000 
1,064 
656,4 


1,022 
1,216 
371.8 


2,651 
3,152 
462,0 


2,998 
3,774 
3,775 
527,6 


728 
1,114 
731,5 


488 

673 

435.7 


54 

6 

285 

308 

97,6 


987 

377 

238 

2,231 

484,4 


247 

430 

173,5 


837 

538 

1,894 

1,549,7 


5,885 
7,551 
7.600 

1,227,2 


3,524 

3.942 

!,431.8 


1.904 

3.675 

1.123.6 


7,493 
10.129 
1.484.5 


8.724 
11,973 
11,979 
1,674.1 


1.693 

2,622 

1.721.8 


1,817 
2.606 

1,687.1 


949 

129 

2.411 

2.483 

787.1 


1.831 

910 

552 

5.198 

1,128.6 


690 

2,578 

1,040.2 


2,186 

2,267 

5,445 

4,455.1 


17,743 
26,218 
26,434 
4,268.2 


7,148 

7,873 

1,856.7 


3.227 

9,689 

2,962.3 


28,281 
37,812 
5,541,8 


13,688 
20,557 
20,574 
2,875,2 


5,067 

7,593 

4,986.1 


5,545 

7.254 

4.696.1 


2.525 

791 

6,980 

7,252 

2,298.7 


4,478 
3,927 
2,348 
15,901 
3.452.4 


1,749 

6.786 

2,738,0 


195 
131 

449 
367.4 


4.793 
5.377 
5.402 
872.2 


499 

538 

331.9 


2.706 

4.532 

1.385.6 


3.469 
4.429 
649.1 


5,612 
6,800 
6.802 
950.6 


504 

689 

452.4 


738 

865 

560.0 


270 

46 

415 

450 

142.6 


1.073 
461 
140 

2,245 
487.4 


290 

739 

298.2 


See  footnotes  at  end  of  table. 


104 


Table  6. — Index  of  Crime,  Metropolitan  Statistical  Areas,  1991 — Continued 


Melropolitan  Statislical  Area 


Population 


Cnme 
Index 
total 


Modified 
Cnme 
Index 
total' 


Violent 
cnme- 


Property 
cnme' 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


Victoria,  Tx,  M5^ 

{Includes  Viclona  County.) 

City  of  Victona   

Total  area  actually  reporting   . 
Rate  per  100.000  inhabilanls  . 
Vineland-Mlllville-BridgeloD.  NJ. 

M.SA 

(Includes  Cumberland  County.) 
City  of: 

Vineland    

MiUville  

Bndgelon 

Total  area  actually  reporting  . 
Rate  per  100,000  inhabitants  . 
Visalia-Tulare-Porterville,  Ca. 
MSA 


(Includes  Tulare  County.) 

City  of: 

Visalia  

Tulare  

Portenille  

Total  area  actually  repoiting   

Rate  per  100.000  inhabitants  

Waco,  Tx.  M5.A 

(Includes  McLennan  County.) 

City  of  Waco  

Total  area  actually  reporting    

Rate  per  100,000  inhabitants  

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

(Includes  Distnct  of  Columbia. 
Calvert.  Charles,  Fredenck, 
Montgomery  and  Pnnce  Georges 
Counties,  Md..  Alexandna,  Fairfax, 
Falls  Church,  Manassas  and  Manassas 
Park  Cities,  and  Arlington,  Fairfax, 
Loudoun,  Pnnce  William  and  Stafford 
Counties,  Va.l 

City  of  Washington  D.C 

Total  area  actually  reporting   

Rale  per  100,000  inhabitants  

Walerbury,  Ct.  MSA 

(Includes  part  of  Litchfield  and  New 
Haven  Counties.) 

City  of  Waterbury  

Total  area  actually  reporting   

Rate  per  100,000  inhabitants  

Wausau,  Wi,  M5.A 

(Includes  Marathon  County.) 

City  of  Wausau    

Total  area  actually  reporting   

Rale  per  100.000  inhabitants  

Wichita,  Ks,  M.S.A 

(Includes  Butler,  Harvey,  and  Sedgwick 
Counties.) 

City  of  Wichita  

Total  area  actually  reporting   

Estimated  total   

Rate  per  100,000  inhabitants  

Wichita  Falls,  Tx.  MSA 

(Includes  Wichita  County.) 

City  of  Wichita  Falls  

Total  area  actually  reporting   

Rale  per  100.000  inhabitants  

Wilmington,  De.-NJ.-.Md.  M.S.A 

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

City  of  Wilmington.  De 

Total  area  actually  reporting   

Rate  per  100.000  inhabitants  


75.947 


56,251 
100,0% 


138,584 


54.991 
26.092 
19.015 
1 00.0% 


318,413 


3.968,379 


598,000 
100.0% 

187.053 


490.195 


589,198 


73.036 
100.0% 


5.581 

6.213 

8.180.7 


4,671 
1,602 
1.690 
9,072 
6,546.2 


77,211 

6.553 

33,941 

2.355 

30,178 

2.271 

100.0% 

19.489 

6.120.7 

193,150 

105.800 

12,657 

100.0% 

16,486 

8,535.3 

64,319 
234,080 
5,898.6 


109,089 

10.174 

100.0% 

12.550 

6.709.3 

136,116 

37.539 

1,959 

100.0% 

4,401 

3.233.3 

306.339 

30.113 

99.4% 

36.574 

100.0% 

36.714 

7.489.7 

124.987 

98,313 

9,965 

100,0% 

10,727 

8.582.5 

706 

749 

986.2 


592 

210 

396 

1.357 

979.2 


661 

280 

177 

2,458 

772.0 


1.418 
1,692 
876.0 


8.634 
33.099 
5,617.6 


14.665 

31.156 

785.1 


845 

941 

503.1 


37 

160 

117.5 


2.672 
3.203 
3.213 
655.5 


952 
1.030 
824.1 


1,351 
3,784 
642.2 


4,875 

5,464 

7,194.5 


4,079 
1.392 
1.294 
7,715 
5.567.0 


5,892 
2,075 
2,094 
17,031 
5,348.7 


11.239 
14.794 
7.659.3 


49.654 
202.924 
5.113.5 


9.329 
11,609 
6,206.3 


1,922 

4,241 

3.115.7 


27,441 
33,371 
33,501 
6,834.2 


9.013 
9.697 

7.758,4 


7.283 
29.315 
4,975.4 


6 
6 

7.9 


7 
5.1 


34 
10.7 


23 

26 

13.5 


482 
719 
18.1 


17 

17 

13.6 


27 
35.6 


36 
9 

25 

78 

56.3 


44 
20 
22 
149 
46.8 


105 
140 

72.5 


214 
1.283 
32.3 


32 

50 

26.7 


284 
354 
355 

72.4 


73 

75 

60.0 


124 
402 
68.2 


117 

122 

160.6 


234 

70 

91 

417 

.100.9 


154 

104 

37 

413 

129.7 


424 

463 

239.7 


7,265 
14,320 
360.9 


417 
222.9 


13 
9.6 


1.404 
1.451 
1.453 
296.4 


323 

331 

264.8 


661 
1.302 
221.0 


561 

594 

782.1 


318 
130 
280 
855 
617.0 


457 

153 

118 

1.862 

584.8 


866 
1.063 
550.3 


6.704 
14,834 
373.8 


416 

464 

248-1 


22 
131 
96.2 


960 
1.365 
1.372 
279.9 


539 

607 

485.7 


551 
2.048 
347.6 


1,433 

1,673 

2,202.9 


1,031 

378 

371 

2.129 

1,536.3 


1.239 

736 

511 

4.911 

1.542.3 


3.646 

4.694 

2.430.2 


12.403 

37.875 

954.4 


2.920 

3.434 

1.835.8 


181 

633 

465.0 


7.459 

9.063 

9.089 

1.854.2 


2.135 

2,336 

1.869.0 


1,698 

6,501 

1,103.4 


3.222 

3,550 

4,674.3 


2,666 
953 
840 

4,977 
3,591.3 


4,186 

1,126 

1.397 

10.700 

3.360.4 


6,495 

8,790 

4,550.9 


29,119 
137,237 
3,458.3 


4,985 

6,490 

3.469.6 


1.687 

3.476 

2.553.7 


17,089 
21.164 
21.263 
4.337.7 


6.308 

6,755 

5,404.6 


4,775 
20,355 
3,454.7 


220 

241 

317.3 


382 

61 

83 

609 

439.4 


467 

213 

186 

1.420 

446.0 


1.098 
1.310 
678.2 


8.132 

27.812 

700. 


1,424 
1.685 
900.8 


54 
132 
97.0 


2.893 
3.144 
3.149 
642.4 


570 

606 

484.9 


810 
2.459 
417.3 


See  footnotes  at  end  of  table. 


105 


Table  6. — Index  of  Crime,  Metropolitan  Statistical  Areas.  1991 — Continued 


Metropolilan  Statistical  Area 


Population 


Cnme 
Index 
total 


Modified 
Crime 
Index 
total' 


Violent 
cnme' 


Property 
cnme' 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


Wilmington,  N.C.  M.S.A 

(Includes  New  Hanover  County.) 

City  of  Wilmington  

Total  area  actually  reporting   

Estimated  total   

Rate  per  100,000  inhabitants  

Yikima,  Wa.  M.S.A 

(Includes  Yakima  County.) 

City  of  Yakima  

Total  area  actually  reporting   

Estimated  total 

Rate  per  100.000  inhabitants  

York,  Pa.  M.S.A 

(Includes  Adams  and  York  Counties.) 

City  of  York   

Total  area  actually  reporting   

Estimated  total   

Rate  per  100,000  inhabitants  

Yuba  City,  Ca.  M.S.A 

(Includes  Sutter  and  Yuba  Counties.) 

City  of  Yuba  City  

Total  area  actually  reporting   

Rate  per  100,000  inhabitants  

San  Juan,  Puerto  Rico  M.S.A.' 

Total  area  actually  reporting   

Aguadilla,  Puerto  Rico  M.S.A.^ 

Total  area  actually  reporting    

Arecibo,  Puerto  Rico  M.S.A.' 

Total  area  actually  reporiing   

Caguas,  Puerto  Rico  M.S.A.^ 

Total  area  actually  reporting   

Mayaguez,  Puerto  Rico  M.S.A.' 

Total  area  actually  reporting   

Ponce,  Puerto  Rico  M.S.A.^ 

Total  area  actually  reporting   


122,249 

56.437 
99.5% 
100.0% 

194,687 

56,531 
98.9% 
1 00.0*^0 

420.618 

42,473 
96,3% 
100.0% 

125,195 

28.008 
100.0% 


100,0% 
100.0% 
100.0% 
100.0% 
100.0% 
100.0% 


7.912 
11.892 
11.946 
9.771,9 


7.322 
15.172 
15.325 
7,871.6 


3,358 
12,833 
13,287 
3,158.9 


2,055 

6,776 

5,412.4 

76,284 

4,033 

4,693 

7,952 

5,456 

8,427 


724 
1,005 
1,011 
827.0 


759 
1,282 
1,290 
662.6 


342 

801 

842 

200.2 


174 
911 

727.7 

20,044 
601 
703 

1,791 
882 

1,961 


7,188 
10,887 
10,935 
8,944.9 


6,563 
13,890 
14,035 
7,209,0 


3,016 
12,032 
12.445 
2,958,7 


1,881 

5,865 

4,684,7 

56,240 

3,432 

3,990 

6,161 

4,574 

6,466 


6 

7 

7 

5.7 


4 

7 

7 

3.6 


6 
13 
13 
3.1 


4 

13 

10.4 

614 

12 

16 

60 

14 

46 


41 

69 

69 

56.4 


71 
152 
153 
78.6 


91 
21.6 


12 

51 

40.7 

222 

20 

14 

28 

20 

43 


281 

320 

322 

263.4 


156 

217 

219 

112.5 


195 
285 
294 
69.9 


36 

88 

70.3 

15.837 

222 

355 

1.208 
344 

1.307 


396 

609 

613 

501.4 


528 

906 

911 

467,9 


109 

415 

444 

105,6 


122 

759 

606,3 

3.371 

347 

318 

495 

504 

565 


2,081 

3,049 

3,062 

2,504,7 


1,322 

3,757 

3,782 

1,942,6 


628 
2,101 
2,175 
517.1 


380 

1,703 

1,360,3 

18.982 

1,254 

1,731 

2,795 

1,649 

2,269 


4,705 

7,275 

7,308 

5,978.0 


4,916 

9,353 

9,464 

4,861.1 


2,256 

9,401 

9,695 

2,304.9 


1.382 

3.769 

3.010,5 

22.258 

1.833 

1.691 

2.278 

2.561 

3.456 


402 

563 

565 

462.2 


325 

780 

789 

405.3 


132 
530 

575 
136.7 


119 

393 

313.9 

15.000 

345 

568 

1.088 

364 

741 


'Although  arson  data  are  included  in  the  trend  and  clearance  tables,  sufficient  data  are  not  available  to  estimate  totals  for  this  ofTense.  Arson  data  for  individual  cities  are  shown  in  Table  8. 

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

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

^Forcible  rape  figures  furnished  by  the  state-level  Uniform  Crime  Reporting  (UCR)  Program  administered  by  the  Illinois  Depailment  of  State  Police  were  not  in  accordance  with  national 
UCR  guidelines.  Therefore  the  figures  were  excluded  from  the  forcible  rape,  violent  cnme,  and  Cnme  Index  total  categories. 

'Aggravated  assault  figures  are  not  comparable  to  prior  years  due  to  a  change  in  reporting  procedures. 

*Data  for  1991  were  not  available  for  the  State  of  Iowa.  The  area  actually  reporting  Includes  only  the  Nebraska  agencies  Indicated. 

'The  1991  Bureau  of  the  Census  population  estimates  for  the  individual  Puerto  Rico  MSA's  were  not  available  prior  to  publication;  therefore  no  population  or  rates  per  100,000  inhabitants 
are  provided. 


106 


able  7.— Offense  Analysis,  United  Sutes,  1987-1991 


Classincation 


1987 


1988 


1989 


1990 


1991 


lurder  

orcibie  Rape 
lobbery: 
Total   


Street/highway    

Commercial  house  — 
Gas  or  service  station 

Convenience  store  

Residence   

Bank    

Miscellaneous  


urglary: 


Total 


Residence  (dwelling):   

Night    

Day  

Unknown  

Nonresidence  (store,  office,  etc.) 

Night    

Day  

Unknown  


arceny-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    


lotor  Vehicle  Theft 


20,100 
91,110 

517,700 

281,827 
65,639 
15.726 
29,201 
53.938 
7.316 
64,054 

3,236,200 

2,191,025 
684,695 
917,769 
588,560 

1,045,175 
516,536 
207,326 
321.312 

7,499,900 


80.629 

90.467 

1.145.340 

1.576.534 

1.262.893 

484.773 

1,099,520 

66.643 

1.693,101 

2.557,878 
1,958,098 
2,983,924 

1.288.700 


20,680 
92,490 


542,970 

293,229 
64,769 
15,745 
34,516 
56,853 
7,739 
70.119 


3,218,100 

2,164,309 
662,067 
928,481 
573,761 

1,053.791 
509,872 
231,372 
312.546 


7,705,900 


82.537 

93.469 

1.160.059 

1.667,608 

1.264.672 

436.204 

1.161,471 

71,345 

1,768,535 

2,679,311 
1,952,763 
3,073,826 

1.432.900 


21,500 
94,500 


578,330 

318,017 
68,173 
16,355 
36,381 
56,928 
7,932 
74,544 


3,168.200 

2.096.233 
650.852 
894.475 
550.906 

1.071,967 
519.195 
236.196 
316,575 


7,872,400 


78.502 

89.032 

1.230.317 

1.726.688 

1,227,923 

431,634 

1.154,833 

65,140 

1,868,332 

2,780,065 
1.928.809 
3.163.526 

1.564.800 


23.440 
102.560 

639,270 

360,861 
72,589 
17,394 
38.643 
61,733 
9,345 
78,705 

3,073,900 

2,034,865 
648,856 
889.874 
496,135 

1,039,035 
491,356 
262,067 
285,612 

7,945,700 


81,027 

82,875 

1,291,492 

1,746,830 

1,183,567 

442,214 

1,116,898 

62,993 

1,937,803 

2,840,662 
1,893,021 
3,212,017 

1,635,900 


24,700 
106,590 

687,730 

386,552 
80,448 
17,829 
39,429 
67,592 
11,019 
84,863 

3,157,200 

2,088,343 
663,991 
900,149 
524,203 

1,068,807 
501,437 
255,946 
311,424 

8,142,200 


83,132 

83,183 

1,343.196 

1.827.508 

1,150,443 

475,172 

1,150,443 

79,325 

1,949.826 

2,916,280 
1,930,465 
3,295,483 

1,661,700 


Because  of  rounding.  ofTenses  may  not  add  to  totals. 

Data  for  1991  were  not  available  for  the  Slate  of  Iowa,  therefore,  it  was  necessary  that  their  crime  counts  be  estimated.  See  "Offense  Estimation,' 


page  377  for  details. 


107 


Table  8. — Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1991 

•  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. 


City  by  Stale 

Population 

Crime 
Index 
total 

Modified' 
Crime 
Index 
total 

Murder 
and  non- 
negligent 

man- 
slaughter 

Forcible 
rape 

Robbery 

Aggra- 
vated 
assault 

Burglary 

Larceny- 
theft 

Motor 
vehicle 
theft 

Arson* 

ALABAMA 

Alabaster 

14.908 
14,680 
15,095 
26,941 

17,103 
34,235 
33,898 
269,313 
13,527 

11,425 
49,345 
54,230 
20,364 
13,378 

12,346 
36,862 
11,979 
43,032 
10,924 

23,196 
40,264 
15,463 
10,406 
13,715 

10,065 

15,082 

198,629 

189,347 

20,047 

17,574 
22,387 
13,076 
25,615 
19,821 

34,722 
11.891 
13,951 
24,039 
10,504 

12,669 
18,392 
13,207 
78,690 
12,403 

19,985 

234,571 
31,961 

27,721 

18,518 
16,542 
22,458 
19.523 

153 

354 

813 

3,043 

714 

1,893 

4,882 

33,895 

723 

471 

3,556 

6,211 

780 

678 

2,060 
2,253 

358 
5,105 

407 

1,642 

1,658 

731 

375 

1,069 

469 

401 

25,550 

16,248 

402 

1,455 
1,258 
743 
2,504 
1,419 

3,291 
816 
634 

3,268 

427 

586 
1,322 

350 
8,289 

991 

324 

15,686 
2,845 
1,028 

1,039 
1,675 
1,936 
2.492 

364 

3,060 

718 

1,901 

4,903 

34,137 

3,561 
781 

2,256 

1,643 
1,662 

737 

1,070 

473 

402 

25,594 

16,316 

1,457 
1,266 
749 
2,512 
1.425 

636 

3,283 

435 

8,292 

15,792 
1,032 

1,043 
1,682 
1,949 
2.507 

2 

3 

4 

16 

96 

3 

27 

222 

1.861 

4 

8 
91 
93 
15 
10 

119 

31 

4 

154 

1 

60 
35 
32 
4 
11 

11 

7 

994 

570 

5 

21 
33 
10 
53 
36 

128 

9 

3 

94 

4 

7 
16 
10 

223 

5 

9 

542 

41 

2 

5 
25 
22 
65 

28 

6 

143 

401 

42 

59 

507 

4,629 

27 

17 

182 

648 

87 

62 

153 
243 

11 
622 

23 

35 
23 
55 
43 
165 

28 

33 

5,307 

945 

4 

57 
299 
150 
434 
230 

417 
138 

34 
701 

13 

50 
2.30 

15 

728 

84 

7 

838 

176 

11 

69 
93 
142 

187 

35 

85 

142 

859 

108 

355 

1,333 

7,894 

1.30 

78 

701 

J, 024 

172 

101 

344 

395 

72 
1,060 

75 

285 
294 
136 
84 
197 

66 

69 

5,743 

4,364 

49 

256 
249 
108 
490 
263 

1,028 

152 

83 

646 

101 

102 
220 
145 
1,693 
389 

67 

2,489 

398 

99 

269 
565 
498 
454 

74 

248 

490 

1,545 

535 

1,373 

2,286 

14,869 

522 

345 
2,376 
4,259 

472 
487 

1,135 

1,523 
251 

2,826 
288 

1,08: 

1,135 

448 

224 

593 

330 

273 

11,433 

9,200 

336 

1,061 
619 
454 

1,375 
818 

1,369 
476 
481 

1,682 
297 

414 

813 

156 

5,067 

472 

215 

9,967 

1,880 

824 

628 

768 

1,113 

1,668 

11 

8 

16 

116 

21 

62 

477 

4,224 

35 

20 
190 
138 

33 
9 

303 
49 

20 

408 

18 

176 

166 

56 

15 

95 

27 

18 

1,882 

973 

8 

56 

47 

19 

129 

61 

316 
33 
31 

112 
10 

10 
33 
19 
504 
36 

25 

1,561 

301 

86 

62 
213 
152 
104 

3 

2 

21 

4 

16 

38 

279 

5 

3 

12 
43 

1 
7 

5 
12 

10 

Alexander  City  

4 

5 

1 

1 

19 

139 

17 

4 

8 

21 

242 

Daphne  

Decatur    

4 
6 

5 

Enterprise   

1 

2 

1 

3 

Fort  Payne  

Gadsden  

Hartselle    

Homewood  

Hoover  

7 

1 

2 
3 

1 

28 
1 

3 
2 

3 
5 
6 

7 

1 

151 

160 

1 

4 
6 

2 

1 

4 

1 

40 
36 

44 

68 

Northport     

1 

3 
1 
1 
1 

11 

2 

3 

8 

1 

22 

10 

22 
6 

2 

30 

2 

2 
9 
3 
67 
2 

1 

264 

48 

6 

5 
10 

6 
12 

■) 

Opelika  

8 

Ozark                                     .            

6 

Phenix  City         

8 

6 

Prichard                    

Saraland         

2 

3 

15 

8 

1 
1 

2 

7 
3 

Talladega                 

Troy  

3 

Tuskegee      .                          

ALASKA 

25 

1 

106 

Juneau    

4 

ARIZONA 

1 
1 
3 
-> 

4 

Avondale                 

7 

13 

Casa  Grande  

15 

108 


Table  8. — Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1991 — Continued 


City  by  Stale 


Population 


Crime 
Index 
total 


Modified* 
Crime 
Index 
total 


Murder 
and  non- 
ncgligent 

man- 
slaughter 


Forcible 
rape 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


ARIZONA— Continued 

rhandler    

Douglas    . .' 

Flagslafr  

Oilbeil    

jlendale    

<ingman    

^ke  Havasu  

viesa    

■"logales  

'aradise  Valley   

'eoria   

*hoenix    

*rescoIl    

icottsdale   

iierra  Vista   

fempe  

Tucson    

r'uma    

ARKANSAS 

lenton    

Jentonville  

llytheville  

Tamden    

Tonway    

;1  Dorado    

-"ayetleville  

-orrest  City  

-ott  Smith   

-larrison    

■lot  Springs  

acksonvtlle    

onesboro    

-ittlc  Rock  

vlagnolia    

•ionh  Little  Rock   

'aragould    

»ine  Bluff  

<ogers  

<ussellville  

iearcy   

iherwood    

ipringdale  

ituttgail   

Texarkana  

'an  Buren    

Vest  Memphis  

L  CALIFORNIA 

Kgoura  Hills    

Vlameda  

Vlbany    

^Ihambra    

Vnaheim    

Vntioch    

Vpple  Valley  

Vrcadia  


92.627 
LI. 1 18 
46.917 
29.863 
151,560 

1 3.0 1 6 
24,926 
294,754 
19,939 
11,940 

51,788 
995,895 

27,066 
133,077 

33,745 

145,146 

414,766 

56,193 


18,341 
11,358 
23,113 
14.510 

26,720 
23,355 
42,479 
13,484 
73,456 

10,011 
32,755 
29,364 
46,956 
177,479 

11,251 
62,299 
18,707 
57,657 
24.915 

21,452 
15.317 
19,063 
30,2 1 1 
10,514 

22.835 
15,114 
28,514 


20.814 
78.051 
16,667 
83,816 

271,955 
63,490 
47,038 
49,295 


6,638 
1,267 
3,911 
1,973 
1 3,93 1 

1,777 

1,675 

22,388 

1,271 

363 

2,628 
99,172 
1,670 
7,360 
1,412 

12,187 

43,139 

4,590 


1,051 

574 

2,y5S 

1,089 

2.058 
1.801 
3.223 
1,695 
6.844 

266 

3.762 

2.015 

3,373 

28,700 

240 
7,510 

733 
5,516 
1,566 

1,241 
867 
617 

1,757 
870 

3,271 

760 

1,766 


725 
5.174 

755 
4,402 

19,451 
4,407 

2,537 
2,219 


6.682 
1,272 
3,933 
1,998 
14.041 

1,785 

1,681 

22,510 

1,277 

365 

2,643 

99,577 

1,690 

7,427 
1,420 

12,2bO 

43,319 

4.615 


1,057 

574 

2,982 

1.093 

2,063 
1,809 
3,224 
1.699 
6.861 

266 

3.769 

2.025 

3.391 

28,916 

241 
7,534 

742 
5,564 
1,568 

1.242 
871 
617 

1.762 
873 

3,297 

761 

1,766 


729 
5,216 

757 
4,449 

19,568 
4,525 
2,553 
2,233 


2 
128 


65 


5 

156 

1 

1 

17 
480 

8 
26 


70 
332 


10 


16 
11 

16 
19 
20 

7 
57 

1 

33 

18 

28 

268 

5 

80 

6 

54 
17 


7 
22 

3 
16 

111 

23 

12 

6 


18 

6 

389 


23 

3,448 

13 

110 

3 

259 

889 

60 


58 

14 

24 

111 

1 

131 

43 

62 

1,459 

4 

355 

1 

212 

10 

6 
7 
6 
10 
14 

117 

4 

95 


9 

206 

46 

306 

983 
104 

54 
168 


176 
33 

175 
85 

830 

63 

65 

1,498 

47 
7 

228 

6,954 

149 

186 

36 

486 

2,651 

409 


60 

4 

278 

97 

34 
122 

73 
210 

474 

7 

147 

154 

258 

3,518 

10 
319 

75 
562 

18 

19 
19 
10 
46 

27 

185 
21 
59 


111 

269 

18 

227 

823 

440 

144 

68 


1,624 
268 
554 
514 

2,326 

246 
288 
4,604 
409 
224 

693 

24,219 

204 

1,428 

227 

1,815 

7.493 

760 


241 

56 

650 

184 

273 
439 
493 
300 
1,225 

35 

1,086 

3.36 

902 

5,773 

104 

1.441 

94 

1,861 

223 

244 
88 
101 
319 
271 

538 
222 
406 


203 
906 
136 
929 

4.289 
746 
993 
441 


4,090 
805 
2,966 
1,197 
8,630 

1,385 

1,182 

13,121 

607 

105 

1,389 
47,338 
1,233 
5,011 
1,026 

8,070 

28,281 

3,072 


670 

497 

1,805 

737 

1,571 
1,082 
2,401 
1,081 
4,620 

192 

2,148 

1,362 

1,927 

15,166 

115 
4,654 

523 
2,426 
1,240 

927 
711 
476 
1,287 
517 

2,267 
443 
995 


304 
3,321 

451 
2,035 

10,108 
2,759 
1,104 
1,199 


648 
145 
150 
156 
1,784 

63 
129 

2,605 

178 

18 

276 

16,605 

63 

591 

109 

1.481 

3,469 

259 


62 

15 

124 

34 

141 

76 
217 

67 
352 

28 

213 

101 

191 

2.470 

1 
647 

34 
392 

55 

37 
41 
22 
86 
38 


131 
63 
178 


89 
444 
101 
881 

3.112 
329 
227 
336 


109 


Table  8. — Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1991 — Continued 


Cily  by  Stale 

Population 

Cnme 
Index 
total 

Modified' 
Crime 
Index 
total 

Murder 
and  non- 
negligent 

man- 
slaughter 

Forcible 
rape 

Robbery 

Aggra- 
vated 
assault 

Burglary 

Larceny- 
Iheft 

Motor 

vehicle 
theft 

Arson* 

CALIFORNIA— Continued 

15,513 

14,677 
15,786 
23,619 
22,746 
10,812 

42,193 
178,461 
70,774 
20,998 
21,919 

35,080 
43,237 
63,102 
24,629 
24,946 

104,863 
32,636 
19,317 
33,557 
70,216 

95,593 
27,359 
19,021 
53,392 
36,798 

10,382 
64,440 
14,033 
85,744 
30,711 

26,862 
54,451 
40,913 
60,925 
137,978 

33,180 
12,049 
51,371 
17,247 
41,050 

12,387 
92,338 
113,667 
1 3.642 
77,680 

27,092 
98,364 
44,107 
23,292 
39,601 

41,101 
43,543 
94,233 
32,560 
31,958 

835 

737 
763 
826 
1,194 
592 

2,387 
14,169 
2,952 
1,693 
1,926 

1,194 
2,015 
4,037 

772 
944 

13,187 
2,664 
1,707 
2,115 
4,866 

4,656 
1,379 
1,711 
1,720 
1,833 

1,239 
3,697 
552 
5,284 
2,205 

2,142 
3,919 
3,063 
3,411 
10,788 

1,687 
1,070 
3,427 
1,557 
3,677 

2,359 
7,170 
7,450 
576 
5,815 

932 
8,973 
2.678 

912 
2,976 

1,726 
2,274 
4,056 
1,378 

724 

841 

743 
767 
831 
1,200 
593 

2,411 
14,279 
2,981 
1,693 
1,937 

1,198 
2,018 
4,065 

775 
952 

13,268 
2,672 
1,717 
2,125 
4,887 

4,806 
1,386 
1,793 
1,732 
1,842 

1,241 
3,707 
557 
5,336 
2,207 

2,157 
3.939 
3,143 
3,458 
10,828 

1,696 
1,080 
3,446 
1,558 
3,691 

2,375 
7,194 
7,476 
582 
5,832 

940 
8,992 
2,698 

917 
2,976 

1,754 
2,300 
4,070 
1,399 
730 

6 

12 

5 

10 

7 
2 

16 
71 
24 
11 
10 

8 
II 
24 
3 
6 

40 
9 
II 
14 
14 

21 

4 

1 

II 

10 

5 
22 

5 
36 
20 

14 

8 

39 

7 
52 

7 
12 
27 
13 
14 

8 
70 
47 

6 

22 

12 

35 

6 

-) 

7 

6 
13 
10 

7 
4 

5 

16 
57 
10 
19 
8 

91 

615 

258 

58 

66 

171 

199 

349 

14 

24 

663 

239 

47 

40 

237 

218 
27 
31 
23 
35 

15 

102 

7 

381 

53 

56 
188 

39 
121 
445 

79 
13 
63 
63 
154 

126 

1,146 

190 

6 

256 

13 
229 
137 

65 
239 

39 

70 

178 

31 

7 

24 

101 
159 

65 
112 

43 

132 
1,004 
284 
146 
144 

126 

323 

604 

32 

28 

834 
51 

149 
75 

210 

286 
54 
40 
74 
95 

61 

272 

33 

759 

268 

130 

237 

82 

275 

1,016 

51 
116 
129 
101 
188 

152 
1,233 

372 

52 

229 

24 
477 
120 
251 

52 

92 

107 

248 

107 

8 

153 

96 

177 
209 
352 
111 

655 

3,376 

1,217 

551 

367 

235 
467 
809 
121 
203 

2,663 
480 
485 
361 

1,026 

717 
213 
335 
493 
366 

92 

833 

113 

1,008 

649 

459 
804 
672 
853 
1,903 

538 
319 
580 
442 
950 

32J 
1,590 
1,361 

157 
1,569 

168 

1,275 
574 
113 
471 

263 
405 
401 
304 

172 

619 

495 
222 
485 
664 
390 

1,048 

7,887 

383 

782 

1,188 

325 

667 

1,393 

547 
571 

7,594 

1,625 

926 

1,394 

2,373 

2,301 
895 

1,030 
939 

1,175 

1,018 
1,927 

366 
1,925 

960 

1,318 
1.822 
1.973 
1.709 
4.901 

863 
567 

2.235 
854 

1.729 

1.074 
1.663 
4.738 
316 
2.633 

559 
5.790 
1.284 

283 
1.718 

1,240 

1,419 

2,327 

824 

514 

28 

n 

137 
47 
40 
38 

443 
1,196 
775 
139 
149 

322 
342 
854 
55 
110 

1,379 

259 

89 

230 

1.004 

1.107 
183 
274 
180 
151 

48 

535 

28 

1.168 

251 

164 
859 
256 
445 
2.463 

149 
41 

392 
80 

630 

675 
1.381 

739 

39 

1,103 

155 
1,165 
556 
193 
-483 

83 
259 
888 
104 

19 

6 

6 

Artesia    

6 

4 
5 

6 

1 

Azusa  

Bakersfield    

Baldwin  Park    

Banning   

Barstow    

Bell  

Bell  Gardens                    

2 
20 
11 

6 

2 

7 
6 
4 

24 
110 
29 

11 

4 
3 

Belinower    

28 
3 

2 

14 

1 

8 

Berkeley  

Beverly  Hills  

81 
8 

Brawley    

Brea   

Buena  Park    

Burbank   

Burlingame  

10 

1 
2 

6 
3 

10 
21 

150 

7 

82 

12 

Campbell   

1 

9 

2 

Carlsbad  

6 

10 

5 

Carson    

7 
4 

1 

1 
2 

1 
8 

52 
2 

Ceres  

Cerritos    

Chico  

Chino    

15 
20 
80 

47 

Chula  Vista      

40 

9 

Clearlake   

Clovis           

2 
1 

4 
12 

1 

87 

3 

10 
19 

Coachella  

Commerce    

Compton   

Concord  

1 
14 

16 

24 

26 

6 

3 

1 
-) 

1 

5 
6 

3 
1 
4 
1 

17 

8 
19 

20 

Cudahy  

5 

28 

Cypress  

26 

14 

21 

Danville  

6 

110 


Table  8. — Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1991 — 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 
ihcft 


CALIFORNIA— Continued 

Davis  

Delano    

Desert  Hot  Springs   

Diamond  Bar   

Dinuba  

Dixon    

Downey    

Duane    

Dublin    

EasI  Palo  Alto   

El  Cajon    

El  Centre    

El  Cerrito   

El  Monte  

El  Segundo  

Escondido  

Eureka    

Fairfield   

Fillmore  

Folsom    

Fontana   

Foster  City  

Fountain  Valley    

Fremont  

Fresno  

Fullerton    

Gardena  

Garden  Grove    

Gilroy   

Glendale    

Glendora   

Grand  Terrace   

Grover  City  

Hanford   

Hawaiian  Gardens  

Hawthorne    

Hayward    

Hemet  

Hercules  

Hermosa  Beach   

Hespena  

Highland    

Hillsborough    

Hollister  

Huntington  Beach    

Huntington  Park  

Indio    

Inglewood   

Irvine    

La  Canada-Flintridge   

Lafayette    

Laguna  Beach  

Laguena  Niguel   

La  Habra    

Lake  Elsinore   

Lakewood   

La  Mesa    


47.171 
23,236 
11,911 
54,789 
13,008 

10.617 
93,348 
21,118 
23,712 
23,939 

90.540 
32.037 
23.345 
108,421 
15,540 

1 10,897 

27.587 
78.819 
12,241 
30,422 

89.358 

28,762 

54,809 

176,949 

361,580 

116,521 
50,885 

146,029 
32,142 

183,788 

48,824 
11,174 
11.898 
31.540 
13.923 

72,835 
113,820 
36,845 
17,179 
18.598 

51,468 
35.156 
10.889 
19.612 
185.300 

57.232 

37.559 

111.885 

112.628 

19.781 

23,990 
23,652 
45,324 
52,333 
18,665 

75,089 
54,033 


3,376 
1.957 
1.402 
1.748 
661 

517 

4.607 

894 

614 

1,677 

6.502 
2.647 
2.019 
6.506 
1,051 

8,937 

2,038 

5,928 

390 

863 

6,924 

825 

3,069 

7.088 

43,503 

8,098 
4,382 
10.066 
1.959 
9.222 

1,710 

521 

464 

1,890 

1,158 

6.690 
8,428 
3,990 

422 
1,255 

2,363 
2.130 
114 
1.185 
8.031 

4,781 
3,959 
9,482 
4,912 
496 

597 
1,295 
1,081 
2,501 
2.534 

4.382 
3,599 


3,396 
1,960 
1.410 
1,762 
663 

521 

4.676 

896 

614 

1,685 

6,539 
2,664 
2,026 
6,573 
1,055 

8,982 

2,067 

5,967 

391 

863 

6,953 

833 

3,078 

7,230 

43.966 

8,149 
4,402 
10.1.30 
2.045 
9.270 

1.730 

526 

489 

1.895 

1.163 

6.759 
8,505 
4,019 
423 
1.259 

2.372 
2.148 
114 
1,193 
8.081 

4.808 
3.983 
9.586 
5.018 
511 

597 
1.301 
1.110 
2.516 
2.539 

4.403 
3.609 


II 
15 
8 
7 
3 

5 

29 

4 

2 

10 

42 
10 

5 
51 

3 

30 
I 

40 

3 

2 

71 

5 

11 

26 

282 

46 

44 

45 

9 

36 


16 


69 

15 

I 

3 
12 
6 
9 
9 

18 
24 


320 
47 
II 

188 

222 

58 

118 

817 

47 

273 
41 

205 
5 
13 

396 

6 

107 

122 

!,I82 

286 
615 
458 
44 
398 

59 

16 

7 

40 

158 

826 

333 

116 

9 

33 

54 
108 


18 
168 

519 

197 

1.542 

61 

16 

14 
17 
12 
90 
89 

267 
123 


48 
134 
182 
153 

44 

24 
177 
123 

27 
293 

535 
136 

69 
585 

35 

821 
70 

377 
45 
39 

722 

61 

81 

495 

2.092 

409 
413 
492 
203 
241 

131 

21 

51 

106 

207 

764 

568 

287 

19 

51 

112 
225 
13 
166 
419 

183 
170 
1.064 
55 
33 

4 

88 

73 

166 

255 

506 
174 


442 
440 
385 
490 
217 

73 

1,080 

184 

91 

344 

1.331 
724 
283 

1,605 
239 

1,821 
386 
910 
120 
165 

1,723 

172 

559 

1,643 

7,838 

1,424 
908 

2,088 
330 

2,025 

404 
155 
93 
426 
220 

1,189 

1,737 

889 

92 

324 

648 

683 

25 

244 

1,825 

725 

841 

2,000 

1,279 

197 

149 
365 
327 
429 
688 

605 
721 


2,680 

1,144 

648 

663 

355 

381 
1,975 
352 
430 
420 

3,354 
1.543 
1.233 
2,145 
569 

4,826 

1,381 

3,927 

190 

580 

2,873 

536 

1,951 

4.168 

19,546 

4,536 
1,480 
5,187 
1,225 
4.763 

941 
204 
282 
1,186 
417 

2,387 

4,782 

2.205 

206 

683 

1.228 

726 

72 

700 

4.625 

1,424 
2,412 
2,562 
3,078 
214 

398 

723 

591 

1.410 

1.112 

2,0131 
1,854  I 


178 
165 
153 
345 

37 

32 

1,018 

182 

51 

402 

1.012 
174 
311 

1,290 
157 

1,155 

137 

461 

26 

64 

1,126 

43 

358 

632 

11,511 

1,394 
915 

1,789 
147 

1,751 

167 
124 
24 
114 
142 

1,478 

957 

469 

95 

162 

306 
364 

4 

53 

937 

1,897 
329 

2,199 

424 

35 

28 

90 

67 

391 

375 

968 
701 


21 
10 


111 


Table  8. — Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1991 — Continued 


Cily  by  State 


Population 


Crime 
Index 
total 


Modined* 
Crime 
Index 
total 


Murder 
and  non- 
negligenl 

man- 
slaughter 


Forcible 
rape 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
iheft 


Motor 
vehicle 
theft 


CALIFORNIA— Continued 

La  Mirada    

Lancaster  

La  Palma    

La  Puenle  

La  Quinta  

La  Verne  

Lawndale  

Lemoore    

Livermore  

Lodi    

Loma  Linda    

Lomita    

Lompoc    

Long  Beach    

Los  Alamitos    

Los  Altos    

Los  Angeles   

Los  Banos  

Los  Gatos  

Lynwood    

Madera   

Manhattan  Beach  

Manteca  

Marina    

Martinez    

Mar>'sville  

Maywood    

Menlo  Park    

Merced   

Millbrae   

Mill  Valley  

Milpttas    

Mission  Viejo  

Modesto  

Monrovia    

Monlclair    

Montebello   

Monterey  

Monterey  Park  

Moorpark    

Moraga  

Moreno  Valley  

Morgan  Hill    

Mountain  View   

Napa    

National  City    

Newark  

Newport  Beach    

Norco    

Norwalk  

Novato   

Oakdale   

Oakland'    

Oceanside    

Ontario  

Orange    

Orinda    

See  footnote  at  end  of  table 


41,294 
99,317 
15,712 

37.724 
11,448 
31,540 
27,900 
13,905 

57,922 
52,954 
17,762 
19,785 
38,433 

438,378 

11,919 

26,850 

3,558,316 

14,821 

27,926 
63,235 
29,890 
32,730 
41,622 

26,986 
32,470 
12,580 
28,430 
28,624 

57,386 
20,837 
13,309 
51,741 
74,336 

168,161 
36,505 
29,026 
60,804 
32,619 

62,003 
26,025 
16,182 
121,253 
24,426 

68,865 
63,130 
55,379 
38,649 
68,031 

23,787 
96,242 
48,576 
12.210 
379,995 

131,072 

135,953 

112,963 

16,988 


1,519 

5.081 

730 

2,176 

895 

1,278 

1,792 

636 

2,845 

3,721 

942 

774 

1,881 

40,030 

604 

575 

346,224 

892 

1,103 
4,275 
1,830 
2,103 
2,879 

926 
1,317 
1,226 
1,093 
1,492 

3,582 

788 

517 

2,537 

2,397 

11,307 
2,344 
3,797 
3,508 
2,099 

3,165 

575 

200 

9,204 

1,326 

3,561 
3,362 
5,208 
2,680 
4,333 

1,295 

5,210 

1,501 

886 

46,308 

8,358 

11,128 

7,576 

358 


1,538 
5,113 

737 

2,192 

899 

1,284 

1,809 

636 

2,850 

3,730 

944 

780 

1,892 

40,160 

623 

582 

351.200 

898 

1,126 
4,358 
1.842 
2.107 
2.906 

932 
1.320 
1.232 
1.109 
1.497 

3.613 
791 
519 

2.547 
2.434 

11,369 
2,347 
3,808 
3.520 
2,100 

3,178 

585 

200 

9.248 

1.334 

3.568 
3,448 
5.233 
2.693 
4.357 

1,307 

5,253 

1,509 

892 

46,742 

8,407 

11,192 

7,629 

358 


14 


10 


94 


3 

1,027 

5 


23 


149 

13 
26 

5 


10 

53 

3 

16 

2 
6 
10 
4 

25 

17 

7 

6 

21 

284 

2 

3 

1,966 

5 

4 
49 
11 

4 
13 


26 


24 

16 

5 

460 

89 

69 

17 

2 


66 
194 
38 

226 
10 
47 

187 
6 

47 
70 
36 
58 
42 

4,071 
29 
13 

39,778 


10 

547 

103 

105 

58 

33 
31 
24 
102 
80 

97 
21 
2 
63 
50 

290 
124 
243 
231 
40 

332 

14 

1 

392 
10 

97 
61 
377 
47 
62 

46 

380 

18 

17 

3,933 

528 

696 

257 

2 


211 

809 

19 

494 

78 

76 

359 

102 

167 
178 
29 
167 
119 

4,760 

24 

19 

47,104 

35 

42 

1,015 

137 

53 
122 

51 
45 
105 
181 

87 

171 
28 
21 
104 
119 

640 
242 
193 

72 
127 

221 

54 

9 

1,005 

118 

141 
238 
528 
156 
237 

105 
1.007 

108 

51 

4.942 

982 

1.046 

292 


339 

1.186 

149 

418 
392 
394 
400 
158 

535 
567 
264 
159 
2«6 

7.901 

184 

146 

57.460 

165 

256 
891 
456 
665 

526 

222 
324 
182 
169 
306 

760 
108 
104 
413 
616 

2,396 
503 
614 
691 

383 

783 

149 

49 

1.917 

437 

374 
552 
918 
360 
1,195 

289 

1,121 

313 

219 

8.848 

1.781 

2.244 

1.565 

93 


651 

2,266 

335 

602 
384 
634 
523 
330 

1,888 

2.564 

396 

273 
1,347 

16,302 

300 

375 

130.234 

635 

743 
896 
843 
999 
1.800 

560 
761 
824 
364 
934 

2.233 

539 

375 

1.696 

1,409 

6,805 
1,209 
2,020 
1,709 
1,408 

1,046 
305 
130 

4.451 
654 

2,687 
2.348 
2.024 
1,873 
2,424 

619 

1,773 

979 

571 

20.695 

3.620 

5.294 

4,438 

240 


240 
559 
186 

410 

29 

121 

312 

36 

181 
324 
209 
111 
66 

6,618 

65 

16 

68,655 

39 

48 
854 
278 
277 
359 

47 
149 

84 
267 

78 

294 
90 
13 

232 
197 

1,100 
241 
707 
785 
119 

764 

46 

8  , 

1,388 

93 

243 
140 
1,335 
232 
393 

235 

895 

65 

?3 

7,281 

1.345 
1.753 
1.002 
13  . 


112 


Table  8. — Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1991 — Continued 


City  by  Stale 


Population 


Crime 
Index 
lota! 


Modified' 
Crime 
Index 
lolal 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


CALIFORNIA— Continued 


Oroville 


Oxnard   

Paofica    

Pacific  Grove 
Palm  Desert 
Palm  Springs 


Palo  Alio    

Palos  Verdes  Estates 

Palmdale   

Paradise  

Paramount    


Pasadena    . . . 
Paso  Robles 

''erris  

'elaluma   ... 
^ico  Rivera 


'iedmoni  

'inole    

'illsburg    

^iacenlia    

'leasanl  Hill 


'leasanton    

'omona    

'onerville  

'on  Hueneme   

<ancho  Cucamonga    . 

<ancho  Palos  Verdes 

<ed  Bluff   

bedding   

iediands    

ledondo  Beach  


Redwood  City 

<eedley    

Sialic    

Richmond  

lidgecrest   


Riverside  

locklin  

tohnert  Park 

tosemead    

toseville    


■acramento    . 

■alinas    

■an  Anselmo 
■an  Bruno  .. 
an  Carlos    . . 


an  Clemente 

an  Diego  

an  Dimas  . .. 
an  Fernando 
an  Francisco 


12,209 

145,178 
38,454 
16,452 
23,736 
41,017 

57.064 
13,793 
70,275 
25.937 
48,661 

134,332 
16,880 
21,907 
44,083 
60,409 

10,822 
17,823 
48,554 
42,118 
32,242 

51,606 
134,466 
30,178 
20,742 
103,521 

42,526 
12,620 
67,846 
61,652 
61,420 

67,448 
16,119 
73,895 
89,246 
28,302 

231,223 
19,429 
37.082 
52,713 
45,615 

377,058 

1 1 1 ,042 

11,987 

39,772 

26,712 

41,956 

1,133,681 

33,071 

23,050 

739,039 


an  Francisco  Stale  Police 

an  Gabriel  

anger  

an  Jacinto  

an  Jose  


37,893 

17,189 

16,547 

798,542 


1,020 

9,808 
1,121 
693 
2,662 
4,333 

3,443 
307 

4,195 
701 

3,671 

9,512 
1,049 
2,726 
1,914 
3,040 

393 
1,261 
3,095 
1,577 
2,386 

1,860 

10,147 

2,271 

978 

5,351 

921 
1,120 
4,368 
3,232 
4,475 

3,407 

1,132 

5,095 

10,971 

989 

20,660 

774 

1,980 

2,790 

3,114 

38,076 
7,651 

459 
2,157 

998 

1,331 

96,781 

1,320 

1,389 

69,350 

315 
1,979 

633 

1,614 

42,836  I 


1,022 

9,859 
1,132 
700 
2,666 
4,414 

3,450 
308 

4,218 
707 

3,700 

9,627 
1,058 
2,779 
1,930 
3,064 

401 
1,272 
3,132 
1,614 
2,404 

1,874 

10,521 

2,274 

981 

5,373 

928 
1,123 
4,405 
3,245 
4,483 

3,431 
1,135 

5,126 

11.106 

1.027 

20,928 

775 

1,988 

2,811 

3,131 

38,272 
7,700 

463 
2,159 

998 

1,351 

97,038 

1,331 

1,392 

69,779 

316 
1,993 

641 

1,619 

43,163 


1 

167 

3 

6 

95 


6 
86 
22 

5 
38 

6 

5 

72 

16 

16 

15 

4 

28 

85 

9 

114 
3 
18 
16 
14 

221 
42 


18 
472 

11 

5 

400 


6 

2 

6 

445 


518 

22 

7 

41 

125 

84 
4 

164 
4 

264 

785 
21 

135 
26 

221 

11 
64 
150 

54 
49 

21 

977 

37 

37 

194 

38 

12 

96 

135 

180 

113 

23 

359 

752 

11 

1,346 

13 

24 

251 

56 

2,280 

253 

8 

39 

16 

41 
5,331 

40 

107 

7,020 

26 

123 

13 

12 

1,328 


65 

1,055 

104 

53 

127 

419 

67 
14 

683 
77 

670 

834 
114 
187 
1.39 
746 

I 

94 

268 

158 

115 

70 

1,214 

118 

122 

213 

89 
65 

237 
243 
221 

3.39 
122 
298 
1,626 
117 

2,141 

34 

181 

444 

206 

2,329 

805 

30 

48 

77 

57 

7,860 

170 

193 

4,645 

56 

120 

76 

246 

3,432 


304 

2,125 
186 
216 
707 

1,226 

494 

98 

1,019 

168 

776 

1,860 
310 
781 
364 
604 

73 
269 
920 
383 
417 

255 

2,511 

511 

261 

1.382 

253 
130 
986 

755 
952 

517 

152 

1,355 

2,270 

224 

5,203 
177 
631 
673 
670 

7,753 

1,173 

122 

233 

170 

411 

1  7.088 

339 

285 

10,604 

34 

513 

126 

477 

7,403 


490 

5.047 

714 

394 

1.567 

1.983 

2,608 
175 

1,742 
418 

1,103 

4.658 

534 

1,112 

1,237 

930 

281 
598 

1,509 
775 

1,655 

1,373 
3,635 
1.397 
471 
2.592 

445 

851 

2.679 

1.521 

2.465 

2,090 

721 

2,287 

4,373 

565 

8,202 
484 

1.007 
925 

1,813 

17,870 

4,823 

284 

1,603 

676 

616 

44,645 

595 

451 

34,679 

191 
895 
338 
748 
25.663 


103 

981 

86 

20 

216 

549 

179 

13 

543 


26 

6 

826 

29 

1.297 

115 

61 

9 

498 

53 

132 

16 

512 

24 

27 

8 

233 

11 

203 

37 

201 

37 

141 

18 

134 

14 

1.699 

374 

186 

3 

82 

3 

926 

22 

90 

7 

57 

3 

295 

37 

559 

13 

636 

8 

332 

24 

109 

3 

764 

31 

1.804 

135 

63 

38 

3,615 

268 

63 

1 

119 

8 

474 

21 

353 

17 

7,557 

196 

548 

49 

15 

4 

231 

2 

56 

187 

20 

21,218 

257 

162 

11 

342 

3 

1 1,907 

429 

7 

1 

321 

14 

74 

8 

124 

5 

4,512 

327 

113 


Table  8. — Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1991 — Continued 


City  by  Stale 

Population 

Crime 
Index 
total 

Modincd* 
Cnme 
Index 
total 

Murder 
and  non- 
negligent 

man- 
slaughter 

Forcible 
rape 

Robbery 

Aggra- 
vated 
assault 

Burglary 

Larceny- 
theft 

Motor 
vehicle 
theft 

Arson* 

CALIFORNIA— Continued 

26.728 
69.644 
42.831 
13.228 
87.266 

25,682 
49.412 
36.038 
299.860 
87.353 

95.562 
112.946 
50.061 
15.843 
62.560 

88,715 
25.584 
115.673 
28,645 
25.620 

.39.711 
1 5.064 
10.986 
102.304 
21.284 

88,081 
22,035 
24,434 
55,443 
31,126 

215.336 
23,158 

119.670 
27.663 
31,747 

106.525 
135.879 
34,257 
33,941 
43,076 

51,744 
12,067 
11,300 
14,903 
54,881 

64.694 
72.967 
111,473 
93.153 
41.521 

77.211 
29.711 
61,830 
31,746 
98,087 

36.870 
79.745 

1.244 
4.709 
1.861 
392 
3.977 

2.861 
3.076 
1.138 
22,952 
5,240 

5,991 
3,982 
3,991 
2.455 
4.562 

10.397 

1.567 

6.981 

585 

799 

1.697 
1,156 
157 
3.415 
1.327 

4.997 
1.665 

1.270 
2.491 
2.547 

24,390 
1,193 
4,671 
2,114 
1,089 

3.323 
8,006 
1.933 
2.355 
3.418 

3.271 

817 

781 

1.011 

2.972 

4.399 
3,173 
8.992 
5.554 
4.592 

6.553 
908 
2,880 
2,649 
6,932 

4.678 
5.552 

1.266 
4.737 
1.871 
397 
3.996 

2.888 
3.107 
1,141 
23.367 
5.249 

6.021 
4,014 
4.010 
2.483 
4.575 

10.527 

1,580 

7,025 

598 

813 

1.721 
1.176 
158 
3,442 
1,335 

5,027 
1,670 
1,283 
2,530 
2,627 

24,508 
1,209 
4.708 
2.120 
1.096 

3,378 
8,119 
1.953 
2.397 
3.481 

3.305 

831 

784 

1,016 

2,993 

4,428 
3.180 
9.067 
5.606 
4.610 

6.575 
915 
2,912 
2,659 
7,059 

4,712 
5.570 

1 
4 

1 

6 

12 
8 

25 

303 

23 

15 

112 

248 

83 

21 

1,946 

150 

92 
98 
85 
103 
132 

652 
58 

173 

8 

39 

103 

23 

5 

65 

112 

546 
46 
88 
51 

156 

1.493 
40 
85 
49 
61 

78 
508 

30 
104 

74 

106 
17 
12 
18 
88 

183 

63 

539 

145 

175 

154 

47 

54 

83 

337 

479 
302 

90 

187 

75 

26 

200 

271 

131 

18 

1.225 

480 

302 
685 
267 
238 
265 

582 
95 

407 

28 

8 

237 

96 

6 

189 

218 

372 

93 

45 

111 

229 

1.064 
87 
142 
147 
93 

185 
424 
189 
153 
223 

75 

90 

8 

38 

183 

321 
206 
987 
225 
214 

457 
88 
145 
173 
401 

464 
192 

360 
746 
326 

127 
458 

462 

512 

205 

4.252 

1.213 

859 

777 
^730 
485 
797 

1,614 
442 

1.274 
167 
192 

255 

34 

64 

742 

313 

1,097 
446 
258 
386 
681 

4,926 
293 
549 
486 
324 

982 
1,532 
324 
7-16 
885 

713 
287 
162 

222 
688 

1,096 
488 
1,831 
1.273 
1,008 

1,239 
286 
459 
487 

1,178 

992 
1,231 

639 
2,880 
1,328 

209 
2,822 

1,364 

2.025 

839 

11.048 

3,015 

4,153 
1,900 
2.631 
1.100 
3,127 

5,574 
833 

4,526 
363 

457 

960 

814 

67 

1,947 

405 

1,358 
1,000 
637 
1,551 
1,185 

12,859 

672 

3,396 

1,094 

458 

1,725 
3,887 
1,220 
1.126 
1,964 

1.957 
333 
523 
688 

1.742 

2.212 
2,206 
4,478 
3,395 
2,599 

4,186 
364 
2,053 
1,730 
3,467 

1,776 
2,809 

123 
577 
100 
15 
362 

494 

291 

52 

4.346 

339 

539 

496 
246 
522 
215 

1.894 

127 

511 

16 

100 

110 

183 

14 

453 

271 

1.595 

60 

234 

372 

279 

3.832 

87 

454 

329 

145 

333 
1.630 
153 
213 
252 

399 

74 

72 

35 

254 

558 
177 
1,073 
468 
566 

467 
115 
159 
165 
1,498 

948 
986 

22 

28 

San  Luis  Obisjx)       

10 

5 

San  Mateo    

San  Pablo  

1 

7 
5 

22 

15 
29 
3 
76 
38 

43 

24 

26 

6 

23 

67 

10 

84 

3 

3 

26 
5 
1 

13 

7 

18 
17 

7 
17 
12 

161 
13 

42 
9 

7 

19 
23 
17 
20 
18 

17 

12 

3 

10 
16 

22 
32 
71 
42 
20 

44 
6 
7 
9 

40 

17 

27 

19 

27 

31 

3 

Santa  Ana       

59 

5 

3 

2 
6 
1 
3 

14 

6 

415 

9 

Santa  Clara    

30 
32 

Santa  Cruz  

Santa  Fe  Springs    

Santa  Maria  

Santa  Monica   

Santa  Paula   

Santa  Rosa  

19 
28 
13 

130 
13 
44 
13 

14 

6 
1 

24 

20 

1 

South  El  Monte    

South  Gate  

South  Lake  Tahoe  

South  Pasadena  

Stanton  

Stockton  

Suisun  City    

Sunnyvale  

6 

1 

11 
3 
1 
3 
5 

55 
1 
3 

27 
8 

30 
5 

13 
39 
80 

118 
16 

37 
6 

1 
1 

7 

Thousand  Oaks         

55 

Tracy  

Tulare              .           

113 
20 

3 

2 

4 
4 
1 

42 

Turlock  

Tustin                         

63 
34 

Twenty-Nine  Palms  

14 

3 

Ukiah                

5 

Union  City    

1 

7 
1 

13 
6 

10 

6 

2 

3 

2 

11 

-> 
5 

21 

Upland  

29 

7 

Vallejo    

VictoiTille  

75 
52 
18 

22 

Walnut    

Walnut  Creek  

7 
32 

10 

West  Covina 

127 

West  Hollywood    

34 

18 

114 


Table  8. — Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1991 — Continued 


City  by  Stale 


Population 


Clime 
Index 
total 


Modified* 
Cnme 
Index 
total 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


CALIFORNIA— Continued 

West  Sacramento    

Whiitier 

Woodland   

Yorba  Linda   

Yuba  City  

Yucaipa   

COLORADO 

Aurora    

Boulder  

Brighton  

Broomfield   

Canon  City    

Colorado  Springs    

Commerce  City  

Denver    

Fort  Collins  

"ountatn    

jolden    

jrand  Junction   

jreeley  

-afayetle   

-al(ewood   

.iltleton  

^ngmont   

jjuisville    

■^onhglenn   

'ueblo  

iterling  

rhomton   

Vestminster  

Vlieai  Ridge  

CONNECTICUT 

^nsonta    

ivon    

lerltn    

lethel    

Uoomfield    

tranford    

Iridgeport  

iristol   

irookfield  

'heshire  

'tinton   

oventry    

romwell  

'anbury  

'arten  

lerby    

ast  Hampton    

asi  Hanford   

ast  Haven  Town    

ast  Windsor    

nfteld    

airfield  

armington    


29,499 
79,288 
40,631 

53.513 
28,008 
33,507 


227,670 
85,400 
14,559 
25,254 

13,005 
288,188 

16,878 
479,468 

89,958 

10,234 
1 3,444 
29,761 
62,053 
14,912 

129,651 
34,529 
52,847 
12,670 
27,876 

99,990 
10,621 
56,410 
76,648 
30,156 


18,424 
13,953 
16,806 
17,561 

19,505 
27,635 
141,912 
60,711 
14,129 

25,714 
12,782 
10,074 
12,300 
65,662 

18,217 
12,213 
10,440 
50.511 
26.174 

10,092 
45,585 
53,481 
20,632 


2,727 
3,818 
2,096 

1,260 
2,055 
1,343 


19,651 
6,653 
1,152 
1,062 

667 
21,444 

2,071 
36,558 

5,226 

578 

656 

3.107 

4.486 

663 

8,535 
1,677 
3,043 
48! 
1,902 

7,774 
614 
3,623 
4,873 
2,299 


628 
386 
390 
333 

1,088 

713 

17,388 

2,594 
364 

497 
284 
168 
394 
3.669 

533 

503 

227 

2.615 

1.025 

342 
1,908 
2,271 
1,066 


2,743 
3,854 
2,135 

1,282 
2,062 
1,352 


19,785 
6.675 
1.173 
1,096 

678 
21,533 

2,086 
36,969 

5,253 

585 

668 

3,132 

4,519 

670 

8,613 
1,692 
3,058 
486 
1.913 

7,835 
617 
3,646 
4,891 
2,321 


631 
386 
390 
333 

1,089 

715 

17,521 

2,598 
365 

500 
286 
169 
394 
3,704 

533 

508 

227 

2,622 

1,025 

346 
1,928 
2,273 
1,066 


13 


184 
13 
10 
6 

3 
231 

14 
427 

66 

3 

1 

16 

26 


85 
146 
45 

24 
36 
39 


564 

40 

5 

4 

3 

387 

17 

1.635 

24 

3 
1 

27 

36 

3 

128 

14 

29 

3 

20 

152 
4 
37 
38 
22 


17 
3 
7 
1 

24 

10 

1,734 

58 

3 


2 

7 

59 

3 

12 

1 

103 

19 

6 
41 
29 
10 


251 
316 
144 

60 

122 

75 


2.987 

136 

66 

52 

39 

742 

145 

2,884 

3.36 

24 

30 

98 

161 

13 

431 
57 

160 
36 
95 

1,365 

17 

150 

183 

166 


38 

9 

993 

233 

5 


127 

3 

4 

9 

105 

20 

7 
24 

7 
19 


776 

1,274 

763 

2.052 

452 

1.225 

270 

760 

380 

1,382 

507 

591 

3,261 
918 
240 
157 

123 
3,865 

370 
9,180 

811 

95 

97 
458 
724 

91 

1.368 
364 
500 
113 
279 

1,547 

71 

653 

806 

341 


90 
89 
89 

73 

281 

88 

3,954 

748 
62 

127 
81 
49 
44 

598 

92 

128 

37 
539 
173 

72 
305 
561 
181 


11,374 

5,.309 

773 

804 

469 
1 5,000 

1,382 
16,530 

3,828 

436 

504 

2,364 

-3,356 

532 

5,937 
1,097 
2,218 
312 
1,379 

4,267 
499 
2,538 
3,537 
1.629 


381 
274 
251 
229 

6.36 

521 

4,691 

1,308 

278 

345 
192 
107 

291 
2,560 

348 
309 
168 
1,582 
694 

200 
1,287 
1,362 

715 


310 

512 
223 

139 
119 
123 


1,270 

236 

58 

39 

30 

1,194 
141 

5,814 
161 

17 
23 
138 
181 
22 

610 
136 
108 
15 
121 

350 
18 
219 
290 
129 


102 
15 
42 
16 

105 

80 

5,883 

240 

13 

14 
11 

2 

43 


303 

87 

35 

47 
P 

5 

275 
114 

7 

54 
246 
311 
140 


115 


Table  8.— Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1991 — Continued 


City  by  State 

Populaiion 

Cnme 
Index 
lolal 

Modified* 
Cnme 
Index 
tola] 

Murder 
and  non- 
negligent 

man- 
slaughter 

Forcible 
rape 

Robbery 

Aggra- 
vated 
assault 

Burglary 

Larceny- 
theft 

Motor 
vehicle 
theft 

Ar^on* 

CONNECTICUT— Continued 

27.933 

58.509 
35.348 
19.871 
52,495 
139.903 

15,503 
51,678 
59,549 
42,812 
49,996 

16,915 
30,661 
75,580 
17,885 
130.627 

29.242 
28,573 
23.656 
20.803 
13,011 

22,273 
78,423 
37,435 
12,845 
14,379 

17,412 
11,835 
20,943 
16,573 
14,304 

35,459 
22.048 
38.563 
22,116 
108,183 

16,938 
49,447 
11,440 
33,726 
32,053 

29,876 
40,870 
109,089 
17.951 
20.480 

60,180 
54,084 
24.438 
25,681 
15,264 

16,007 
27,849 
12,372 
13,716 

620 

1,484 

1.559 

617 

3,009 

21,235 

388 
2,893 
3,041 
2.422 

2,552 

326 

997 

6,396 

354 

19,492 

1,209 

2,525 

635 

398 

331 

1,022 

5,491 

1,760 

865 

226 

752 
322 
232 
602 
284 

650 
370 

1,412 
498 

6,503 

583 
1,789 

137 
1,524 
1,201 

1,092 

1,549 

10.174 

996 

718 

2.797 

3.535 

846 

807 

866 

232 
785 
354 
400 

623 

1.488 

1.564 

619 

3.009 

21.459 

389 
2.928 
3.058 
2.438 
2.559 

332 

1.008 

6.428 

354 

19.628 

1,217 

2.540 

637 

402 

336 

1.024 

5.511 

1.765 

866 

227 

756 
330 
232 
602 
287 

655 
371 

1.415 
499 

6.558 

587 
1.803 

142 
1,533 
1.201 

1,093 

1,581 

10.187 

1,001 

718 

2,821 

3,551 

847 

813 

866 

235 
785 
356 
402 

1 

12 

16 

17 

1 

65 

1,607 

1 
79 
79 
32 
26 

3 

11 

305 

6 

10 

78 

5 

36 

1,764 

11 
155 
66 

51 
14 

17 

17 

304 

11 

2.018 

II 

184 

5 

1 

8 

50 

221 

112 

3 

12 

9 

1 

9 

10 

20 

33 

6 

12 

9 

235 

1 
18 

3 
51 

8 

25 

17 

416 

26 

4 

50 
178 
18 
47 
15 

96 

239 
240 
117 
410 
4.690 

93 

675 
765 
471 
396 

90 

193 

1.335 

94 
4,146 

170 
632 
124 
134 

74 

207 

1.268 

406 

155 

71 

159 
107 

55 
74 
71 

184 

53 

477 

123 

1.236 

159 
459 
41 
324 
132 

212 

285 

2.920 

103 

124 

640 
689 
193 
101 

226 

54 
152 

63 
101 

466 

1,025 
1,146 
469 
2,094 
9,710 

257 
1,786 
1,798 
1,542 
1,631 

190 
661 

3,432 
223 

8,041 

910 
1,412 
461 
227 
231 

611 

2,984 

1,091 

621 

109 

514 

175 
154 
439 
154 

331 
301 
765 
326 
3.741 

401 

746 

78 

1.016 

870 

757 
981 
4.985 
774 
482 

1.740 

1.951 

542 

530 

578 

154 

532 
226 
242 

39 

188 

67 

20 

395 

3.259 

22 
159 

327 
308 
476 

24 

109 

962 

25 

3.780 

99 
187 
41 
34 
15 

139 
786 
92 
78 
31 

59 
35 
13 
61 
33 

90 

8 

123 

34 
959 

19 
480 

13 
113 
183 

64 

250 
1.424 

72 
96 

276 
634 

87 
-102 

36 

23 
72 
43 
35 

3 

6 

11 

5 

9 

181 

4 
39 

5 
15 

7 

7 

6 

52 

1 

118 

1 
20 

1 

4 

Groton  Town    

Guilford  

5 

2 

Hartford  

24 

224 

1 

35 

1 
3 

1 

17 

16 

Milford      

7 

6 

11 

6 

32 

34 

1,355 

18 
88 

1 
2 
2 

14 
210 

31 
4 
2 

11 

1 

136 

8 

2 
2 

15 

2 

4 

1 

1 

18 

27 

4 

1 

5 

2 

4 

1 

20 

5 

1 

Plainfield 

1 

Plainville 

4 

3 
1 
1 

2 

6 

1 

5 

1 

25 

8 

1 

16 

4 

5 

1 

29 

5 

297 

3 
76 

1 
11 

7 

29 

11 

388 

18 

4 

83 
69 
5 
22 
11 

1 

9 

7 

11 

3 

Shelton            

1 

5 

1 

1 

3 

1 

10 

55 

4 

2 

8 
1 
9 

14 

Suffield 

5 

9 

1 
1 

Vernon                 .           

4 
5 
32 
3 
7 

8 
11 

1 

32 

9 

13 

Waterford 

5 

1 

West  Hartford    

24 

3 
1 
1 

16 

Westport 

1 

4 

6 

Wilton 

3 

7 

2 
5 

13 
11 
6 

Windsor  Locks  

2 

2 

Wolcott    

2 

116 


Table  8. — Number  of  OfTenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1991 — 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 


Motor 
vehicle 
theft 


DELAWARE 

Dover   

Newark  . , 

Wilmington    

DISTRICT  OF  COLUMBIA 

Washington    

FLORIDA 

Altamonte  Springs  

Apopka  

Bartow    

Belle  Glade   

Boynton  Beach    

Bradenton   

Callaway    

Casselberry  

Clearwater    

Cocoa    

Cocoa  Beach  

Coconul  Creek  

Cooper  City  

Coral  Gables  

Coral  Springs   

Creslview    

Dania    

Davie  

Daylona  Beach    

Deerfieid  Beach  

De  Land    

Delray  Beach 

Dunedin  

Edgewater  

Euslis  

Fort  Lauderdale    

Fort  Myers  

Fort  Pierce  

Gainesville   

Grcenacres  City  

Gulfport  

Haines  City   

Hallandale    

llKileah  

Holly  Hill   

Hollywood    

Hiiniestead   

J.iLi.sonville    

Jacksonville  Beach  

Jupiler    

Key  West    

Kissimmee    

l-.ike  City    

1.1  kcland    

Lake  Worth   

Largo   

Lauderdale  Lakes  

Lauderhill   

Lccsburg    


28.203 
25.619 
73,036 


598,000 


35.793 
13.866 
15,101 
16,600 

47,404 
44,926 
12,574 
19.406 
99.990 

18,186 
12,440 
28,205 
21,335 
41,141 

81.525 
10.145 
13.365 
48.454 
63.543 

47,539 
16,923 
48,417 
34,903 
15,738 

13,306 
1 53,292 
46,390 
37.795 
86,991 

19,172 
12,034 
11,989 
31,808 
192,931 

11,433 
124,886 

27,570 
653,515 

18,306 

25.640 
25.482 
30.837 
10,267 
72,425 

29,312 

67,395 
28.057 
51.010 
15,293 


2,76. 
1.740 
8,634 


64,319 


3,006 
1,567 
1,795 
2,344 

4.270 
4.580 
549 
1.580 
9.452 

3.160 
1.293 
1.034 
637 
5.532 

3.587 
564 
2,318 
3.241 
9.271 

3.569 
2.810 
5.754 
1.467 
696 

630 

24.334 

7.224 

5.194 

9.020 

1.417 

911 

1.261 

2.547 
15.767 

1,112 
12.621 

4.033 
69.217 

2.263 

1.543 
4.587 
4.107 
1.578 
11.374 

3.794 
3.444 
2.556 
3.702 
1,583 


2.778 
1.747 
8.688 


64.575 


3,020 
1.571 
1,800 
2,346 

4,279 
4,589 
550 
1,580 
9.483 

3.163 
1.295 
1.043 
640 
5.540 

3.596 
564 
2.322 
3.241 
9.284 

3,575 
2.815 
5,767 
1,479 
700 

632 

24.369 

7.241 

5,216 

9,053 

1,418 

911 

1,271 

2,553 

15,813 

1.114 
12,638 

4.057 
69,614 

2.273 

1.553 
4.600 
4.112 
1.582 
11.391 

3.799 
3.461 
2.563 
3.719 
1.590 


482 


7 

5 

128 

2 


25 

16 

124 


214 


5 
104 
45 
41 
42 

6 
1 
3 

18 
43 


101 

32 

661 


7.265 


108 
66 
38 

118 

217 

187 

6 

51 

295 

145 
19 

15 

9 

278 

51 

6 

116 

70 
463 

131 

141 

257 

18 

10 

19 

1.146 

494 

213 

313 

31 

45 

39 

156 


29 

499 

273 

4. 1 3 1 

96 

26 

150 

78 

38 

481 

135 

66 

165 

211 

45 


106 
551 


6.704 


100 
134 
187 
301 

456 

412 

38 

86 

657 

342 
33 
74 

27 
132 

142 
34 
193 
186 
980 

246 
265 
505 
146 
50 

62 
901 
661 
602 
845 

39 

42 

87 

220 

975 

59 

458 

485 

6,448 

215 

54 
306 
310 
185 
716 

256 
299 
193 
288 
174 


379 

246 

1.698 


12.403 


575 
343 
291 
622 

797 

1,144 

97 

290 
2.029 

836 
296 
282 
154 
1.100 

600 
101 
507 

714 
2.494 

685 
693 
1.447 
351 
201 

109 
6.208 
1.427 
1.439 
2.213 

320 
261 
329 
604 
3.210 

285 

2,-347 

1,012 

17,301 

466 

337 

1,056 

778 

227 

2,650 

793 
750 
500 
751 
415 


2.062 
1.243 
4.775 


29.119 


1.946 

855 

1.141 

1,169 

2.315 
2.383 
387 
1.042 
5.953 

1.505 
888 
579 
405 

3,464 

2,590 
401 
1.200 
2.007 
4.500 

2.210 

1.563 

3.051 

899 

409 

399 

13,765 

3,405 

2,430 

5,146 

895 

534 

688 

1,229 

7,835 

677 

8,004 

1,918 

34,594 

1,346 

1,037 
2.674 
2.746 
1,080 
6,504 

2,227 
2,169 
1,283 
1,898 
883 


112 

97 

810 


8,132 


265 
158 
125 
120 

456 
414 
17 
102 
476 

311 
49 
78 
40 

552 

190 

22 
285 
252 
742 

267 

136 

464 

43 

18 

32 

2.183 

1.186 

460 

452 

126 

28 

114 

318 

2.794 

60 
1.267 

309 
5.817 

112 

84 
379 
182 

40 
986 

369 
134 
397 
5.30 
61 


117 


Table  8. — Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1991 — Continued 


City  by  Stale 


Population 


Crime 
Index 
total 


Modified* 
Cnme 
Index 
total 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


FLORIDA— Continued 

Lighthouse  Point    

Longwood   

Margate    

Melbourne    

Miami   

Miami  Beach    

Miami  Shores  

Miami  Springs   

Miramar    

Naples  

New  Port  Richey  

New  Smyrna  Beach    

Niceville    

North  Lauderdale  

North  Miami    

North  Miami  Beach  

North  Palm  Beach    

Oakland  Park   

Ocala  

Ocoee    

Opa  Locka   

Ormond  Beach    

Oviedo   

Palatka   

Palm  Bay    

Palm  Beach   

Palm  Beach  Gardens  

Palm  Springs    

Panama  City  

Pembroke  Pines    

Pinellas  Park  

Plantation   

Plant  City  

Pompano  Beach    

Port  Orange  

Port  Saint  Lucie  

Punta  Gorda  

Rockledge   

Royal  Palm  Beach  

Safety  Harbor  

St.  Augustine    

St.  Cloud  

St.  Petersburg  

Sanford  

Sarasota   

Satellite  Beach    

Sebastian   

South  Daytona  

South  Miami  

Stuart    

Sunrise   

Sweetwater   

Tallahassee  

Tamarac  

Tampa    

Tarpon  Springs   

Temple  Terrace  


10,650 
13,665 
44.111 
61,209 
367.945 

95,067 
10,348 
13,615 
41,728 
20,016 

14,412 
16,976 
10,782 
27,200 
51,308 

36,285 
11.640 
27,016 
43,146 
13.112 

15,683 
30,499 
11,405 
10,468 
64,273 

10,071 
23,566 
10,018 
35,279 
67,167 

44,564 
68,439 
23,350 
74,308 
36,242 

57,330 
11,028 
16,442 
14,971 
15,520 

11,998 
12,779 
244,883 
33,235 
52,296 

10,148 
10,472 
12,809 
10,676 
12,248 

66,095 
14.273 

128,043 
45,996 

287,354 

18,375 
16,874 


349 

941 

1,851 

5,594 

67.678 

14,086 
1.058 
1.279 
2.540 
1,520 

1,296 
1,322 
309 
1,537 
6,504 

2,825 

570 

4,271 

6,357 

773 

3,233 
1,245 
646 
2,124 
3,675 

494 
2,048 

618 
3,602 
3,173 

3,333 
5,985 
3,598 
9,317 
1,258 

2,383 
440 

1,136 
692 
644 

1.805 

1.075 

26,993 

3.234 
7.826 

412 

431 

545 

1.112 

1.356 

3,889 

129 

19.927 

1.960 
47,576 

1.379 
909 


349 

941 

1,854 

5,620 

68,000 

14,100 
1,059 
1.280 
2.547 
1.521 

1,300 
1,324 
309 
1,538 
6,510 

2,834 

572 

4,272 

6,384 

775 

3,238 
1,245 
646 
2,133 
3,680 

495 
2,052 

618 
3.627 
3.185 

3.348 
6.006 
3.602 
9.347 
1.264 

2.398 
441 

1.137 
692 
648 

1.808 
1.076 

27.234 
3.238 
7,838 

412 

434 

545 

1.117 

1.361 

3.893 

129 

19,968 

1.962 
47.638 

1.382 
912 


3 

2 
134 


3 

7 

34 

253 

48 
1 
6 

13 

3 


5 

3 

184 

22 

45 


14 


64 


119 
9 

347 


15 

17 

38 

117 

i,542 

759 
123 

78 
114 

30 

17 
31 

2 

30 
558 

267 

g 

176 

295 

15 

352 
28 
15 
97 
52 

7 
29 

9 
52 
82 

53 
156 
105 
501 

7 

9 
17 
19 

5 


80 

7 

2,015 

151 

364 

4 

4 

8 

87 

28 

103 

8 

833 

55 

3,094 


10 

46 

82 

531 

6,716 

841 
37 
49 

154 
93 

39 

92 

5 

89 

296 

153 

14 

207 

434 

57 

407 

29 

72 

230 

261 

12 

57 

36 

275 

125 

125 
156 

443 

1,202 

23 

154 
24 
32 
17 
41 

166 

48 

3,592 

257 

408 

14 

28 
37 
82 
94 

192 

12 

1,859 

82 

6,857 

136 
29 


65 

142 

420 

1.061 

12.601 

2.389 
280 
261 
677 
286 

327 

309 

89 

421 

1.555 

656 
149 
801 
1.272 
211 

645 

227 
163 
501 

747 

57 
424 

53 
666 
646 

617 
935 
716 
2.450 
191 

819 

53 
268 
115 
187 

322 
231 

5,543 
912 

1,994 

81 
145 
190 
239 
300 

654 

34 

4,889 

342 

11,239 

406 
156 


230 

669 

1,160 

3.542 
30,751 

8,532 

492 

740 

1.263 

1,033 

851 
831 
199 
880 
2,917 

1,330 

366 

2,676 

4,074 

401 

1,392 

912 

368 

1,214 

2,468 

399 
1,382 

483 
2,432 
1,980 

2.330 
4.088 
1.746 

4.272 
991 

1.316 
322 
768 
528 
376 

1.191 

744 

13,116 

1,668 

4,676 

297 
240 
273 
580 
871 

2,641 

59 

10,882 

1 ,303 
20,072 

708 
559 


28 

64 

141 

307 

8,681 

1,509 
125 
145 
318 

75 

61 

49 

13 

106 

1,158 

400 

29 

391 

250 

74 

404 

45 
27 
64 
137 

15 
154 

36 
147 
331 

171 
633 

572 

883 

43 


66 
115 


118 


Table  8. — Number  of  Oflenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1991 — Continued 


City  by  Stale 


Population 


Crime 
Index 
total 


Modified* 
Cnme 
Index 
total 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
IheH 


Motor 
vehicle 
theft 


FLORIDA— Continued 

ritusville  

Venice  ■ 

Vero  Beach    

iVest  Palm  Beach  

•Vijton  Manors    

iVinter  Haven    

A'lnler  Park    

Vinter  Springs  

GEORGIA 

Mbany    

vipharetta  

^mericus  

Athens — Clarke  County   

illania    

vugusta    

tainbridge    

Brunswick  

"arrollton    

Tollege  Park    

rolumbus    

>alton  

Douglas    

iasi  Point    

jainesvitle   

jrifTtn    

linesville   

.a  Grange    

-awrenceville    

4acon  

vlanetta   

^illedgeville    

^oullrie  

'lewnan    

•eachiree  City   

tome  

toswell  

lavannah  

Imyma  

.nellville    

^homasville  

"ifton    

^aldosta  

'idaha    

Varner  Robins    

Vaycross  

HAWAII 

tilo    

tonolulu    

1  IDAHO 

loise   

'aldweli  

"oeur  d'Alene    

daho  Falls  


40,426 
17.365 
17,804 

69,415 
12,113 
25,373 
22,824 
22,731 


79.868 
13,292 
16,881 
88,655 

403,085 
45,636 
10,951 
16,800 
16.387 

20.913 
183.284 

22,247 
10,697 
35,170 

18,284 
21,824 
22.085 
26,169 
17,224 

108,994 
45,115 
18,123 
15,197 
12,776 

19.452 
31.003 
48.994 
140.634 
31.673 

12.354 
17.847 
14.532 
40.695 
11.325 

44.703 
16.776 


37.949 
856.432 


129.819 
18.989 
25,349 
45,336 


3.969 

903 

1,816 

12,122 

1,241 

4,553 

2,167 

845 


9,546 

469 

1,129 

8,352 

76,398 
5,569 
1,088 
2,592 
1,696 

3,749 
11,365 
2,258 
1,663 
3,488 

2,124 
2,485 
1,569 
3,100 
1,103 

10,846 
6.052 
1.556 
1.494 
1.248 

286 

3.573 

2.398 

13.798 

2.829 

444 
1.785 

942 
3.697 

797 

2,905 
1,470 


3.014 
51,032 


7,216 
1,921 
2,301 
2,795 


3,972 

905 

1,826 

12,148 

1,249 

4,565 

2,170 

846 


76,686 


11,431 


10,913 


3,599 
13,857 


3.036 
51.294 


7,268 
1,934 
2,313 
2,813 


13 
1 
5 
9 

205 
19 

3 
6 


32 


63 

1 

11 

54 

638 

43 
8 

13 
11 

30 

71 

13 

6 

27 

18 
15 
22 
18 
II 

81 

38 

7 

12 


17 

6 

113 

17 


16 

275 


116 

3 

45 

998 
45 

154 

86 

6 


404 

2 

25 
266 

6,479 

385 

28 

131 

44 

222 

394 

31 

17 

296 

54 
60 

23 
84 
20 

273 
142 
27 
43 
44 


101 
25 

989 
97 

2 

61 

44 

224 

16 

56 
49 


29 
860 


338 

51 

121 

640 

51 

400 

114 

46 


424 
12 
70 

354 

i,967 

132 

98 

298 

60 

141 
446 
150 
179 
215 

241 
250 

56 
217 

52 

620 
569 

76 
201 

62 

3 
230 

47 
576 

65 


241 
87 

174 
51 

216 
62 


68 
894 


345 
89 
140 
151 


972 
129 
380 

3,058 
234 
832 
461 
248 


3,157 

55 

223 

2,209 

13,861 

1,842 

217 

477 

316 

656 

2,377 

446 

446 

1,046 

341 
657 
269 
627 
224 

2,266 
976 
321 
358 
238 

28 
1.051 

433 
2.869 

509 

59 
388 
174 
985 
214 

659 

276 


692 
9.905 


1.211 
364 
312 
496 


2,271 

687 

1.154 

5.845 

837 

2,721 

1,393 

509 


5,055 
343 
759 

4,808 

35.237 

2.615 

664 

1,538 

1.171 

1,843 
7,373 
1,485 
942 
1.367 

1.312 
1.434 
1.134 
2,038 
686 

6.807 

3.829 

1.078 

813 

827 

228 
1.996 
1.695 
7.801 
1.934 

369 
1,012 

579 
2,119 

477 

1,827 
1,012 


2,068 
36.019 


5.212 
1,359 
1,746 
2,036 


244 

31 

103 

1,488 

70 

429 

110 

34 


430 

55 

36 

652 

11,011 
533 

70 
129 

94 

854 
681 
132 

72 
527 

148 
65 
64 

113 

no 

767 

490 

47 

62 

66 

25 

171 

192 

1,391 

205 

14 
76 
46 

157 
28 

138 

62 


140 
3.050 


338 


119 


Table  8. — Number  of  OfTenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1991 — 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* 

IDAHO— Continued 

28,981 
19,112 
29,273 
47.555 
14.760 

28.474 

32.373 
11.777 
18.406 
33.228 

76,201 
99,990 

19,562 

17,243 
43,205 

16,114 
17,941 
45,872 
16.777 
52.482 

21.411 
41.244 
14,070 
10,898 
14,543 

19,061 
36,784 

27,871 
17,722 
38,2 1 1 

14,058 
27,298 
32,027 
23,275 
10,141 

14,414 
64,126 
20,598 
2,811,478 
33,397 

13,777 
68,098 
22,666 
15.582 
10,747 

10,929 
24,752 
34,160 
18,521 
84,709 

17.497 
35,268 
53,746 
24,165 
47.318 

1,256 

772 
2,667 
2,449 

772 

2.219 

1.264 

776 

2.706 

2,458 

772 

2.227 

5 

1 

14 

25 

2 

9 

6 

2 
12 
16 

22 

18 

81 

280 

5 

74 

56 

8 

43 

113 

47 
514 
15 
13 
79 

13 
38 
37 
19 
177 

79 
69 
14 
26 
22 

8 
7 

103 
38 

122 

18 

101 

46 

74 

2 

77 
439 

23 

42.237 

398 

20 
446 

41 
37 
30 

2 

14 
234 

8 
481 

2 
68 
56 
51 
43 

160 
109 
406 
289 
42 

303 

225 

52 

256 

607 

485 

1.687 

165 

84 

524 

89 
177 
469 

91 
535 

249 
214 
62 
124 
114 

151 
96 
180 

214 
507 

160 
434 
229 
165 
16 

240 

1.242 

133 

52.234 

417 

125 
637 
216 
105 
83 

19 

77 

687 

47 

1,135 

27 
237 
271 
269 
366 

1,014 

597 

2,038 

1,759 

709 

1,726 

1,019 

221 

1,075 

1,906 

1,907 

4,080 

526 

432 

1,569 

508 

967 

1,054 

1,023 

2,001 

881 
502 
286 
815 
658 

323 
660 

1,201 
776 

1,868 

482 
1,562 
960 
893 
102 

811 
3,949 

329 

131,688 

1,302 

749 
484 
781 
349 

524 

212 
889 

1,964 
203 

3,481 

308 
1,311 
1,584 
1,318 
1,642 

49 
45 
115 
80 
14 

92 

97 

15 

194 

139 

129 
406 

i; 

132 

26 

146 

387 

69 

75 

323 

126 

10 

59 

73 

42 

23 

104 

102 

782 

7 
80 
45 
35 

4 

32 

296 

17 

47,396 

599 

114 

727 
119 

77 
40 

49 
15 
95 
31 
148 

9 

53 

136 

239 

92 

8 

4 

1 

39 

Pocalello   

9 

Twin  Falls    

ILLINOIS' 

1 

14 

8 

2 

32 

94 

28 

301 

9 

10 

38 

4 
14 
59 
15 
59 

58 
20 

2 

7 
17 

6 

2 

45 

11 

120 

4 
67 

7 
11 

8 
8 

1 

2 
2 

2 
13 

13 

Alton            

21 

8 

61 

10 

6 

13 

9 

2 
1 

6 

13 

5 

1 

10 

20 

2 

7 

4 

Brookfield                   

2 

3 

Buffalo  Grove 

4 

9 

3 

8 

38 

2 

Carbondale        

3 

1 

9 

11 

11 

Carv 

15 

189 

8 

43.783 

165 

16 
106 
18 
6 
19 

4 

2 

77 

2 

169 

3 

Champaign                  

4 

11 

t 

925 

7 

2,069 

12 

10 

Cicero 

8 

32 

9 

1 

Cresl  Hill    

6 

Crystal  Lake 

•) 

1 

1 
6 

21 

3 

35 

1 

De  Kalb  

18 
19 
56 
10 

4 

10 

1 
1 

1 

12 

See  footnote  ai  end  of  table. 


120 


Table  8. — Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1991 — Continued 


City  by  Slate 


Population 


Cnmc 
Index 
tota) 


Modified* 
Crime 
Index 
total 


Murder 
and  non- 
ne^igent 

man- 
slaughter 


Forcible 
rape 


Aggra- 
vated 
assault 


Burg]ar> 


Larceny- 
theft 


Motor 
vehicle 
theft 


ILLINOIS'— Continued 

East  Moline  

East  Peoria    

East  St.  Louis    

Edwardsville    

EfTingham   

Elgin    

Elk  Grove  Village    

ElmhursI    

Elmwood  Park   

Evanston   

Evergreen  Park    

Fairview  Heights    

Forest  Park    

Franklin  Park  

Freepon   

Galesburg   

Geneva   

Glendale  Heights    

Glen  Ellyn    

Glenview  

Granite  City   

Gurnee   

Hanover  Park  

Harvey   

Hazel  Crest   

Herrtn  

Hickory  Hills    

Highland  Park    

Hinsdale    

Hoffman  Estates  

Homewood  

Jacksonville    

Joliet    

Justice  

Kankakee    

Kewanee    

La  Grange    

La  Grange  Park    

Lake  Forest   

Lake  Zurich  

Lansing  

Lincoln   

Lincolnwood    

Lisle   

Lombard    

lujves  Park  

Machesney  Park    

Macomb  

Marion    

Markham  

Matteson    

Matloon   

Maywood    

Mc  Henry  

Melrose  Park    

Midlothian    

Moline  


20,345 
21,588 
41,346 
14,722 
11,967 

77,766 
33,757 
42,442 
23,434 
73,952 

21,079 
14,492 
15,064 
18,666 
26,094 

33,859 
12,741 
28,247 
25,189 
37,457 

33,185 
13,835 
33,217 
30,063 
13,465 

10,963 
13,148 
30,875 
16,186 
47,018 

19,467 
19,513 
77,591 
11,246 
27,846 

13,096 
15,513 
12,987 
18,011 
15,093 

28,362 
15,569 
11,476 
19,703 
39,795 

15,613 
19,220 
20,148 
14,687 
13,265 

11,489 
18,622 
27,405 
16.336 
2 1 .064 

14,513 
43,626 


4 
9 
550 
4 
9 

122 

6 

10 

42 

197 

23 
12 
65 
20 
23 


4 
6 
12 
4 

16 
18 
16 
360 
39 


11 
21 

281 
7 

226 


306 

2 
92 


58 

21 

1,554 

9 

16 

276 
44 
20 
10 

251 

15 
22 
33 
41 
101 

41 
6 
29 
II 
15 

75 
20 
77 
314 
54 

12 
5 

16 
4 

48 

14 
80 

544 
23 

401 

17 

18 

1 

4 
II 

17 
27 
6 
17 
41 

27 
35 
16 
19 
44 

18 

10 

352 

3 

48 

28 
112 


101 
248 
1,355 
104 
124 

1,138 
265 
259 
137 

1.624 

85 

91 

207 

155 

240 

386 

124 
113 
129 
134 

533 

89 

196 

1.180 

105 

92 
47 
62 
56 
262 

60 

401 

1,357 

54 

1,155 

129 

125 

46 

12 

28 

196 
160 

78 

83 

578 

243 

213 
152 
192 
311 

46 
31 

577 
35 

296 

138 

545 


332 
810 
1,008 
372 
600 

3,052 
1,006 
1.042 
635 
3.674 

1.027 

1.004 

828 

803 

1.282 

1,364 

257 
649 
588 
704 

1,155 
851 
987 

1.645 
439 

226 
283 
662 
205 
1.010 

819 

1.327 

4,420 

246 

2,114 

550 
302 
167 
175 
414 

1.120 
565 
585 
571 

1,990 

889 
773 
600 
563 
166 

1.242 
105 

1.415 
408 

1.708 

715 
1.890 


11 
21 
1.040 
11 
29 

198 
110 
114 
167 
461 

152 

115 

176 

56 

38 

68 

5 
40 
40 
48 

104 

53 

49 

1.572 

132 

21 
38 
41 
15 
55 

114 
29 

722 

73 

318 

25 
15 
18 
6 
9 

368 
34 
48 
38 

166 

42 
35 
16 
25 
82 

192 
15 

537 
17 

466 

81 
79 


See  footnote  at  end  of  table. 


121 


Table  8. — Number  of  Oflenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1991 — Continued 


City  by  State 


Population 


Crime 
Index 
total 


Modified* 
Clime 
Index 
total 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


ILLINOIS'— Continued 

Morris  

Morton  

Morton  Grove    

Mount  Prospect  

Mount  Vernon  

Mundelein    

Naperville  

Niles    

Normal  

Norridge    

Northbrook    

North  Chicago  

Northlalce    

Oak  Forest  

Oak  Lawn  

Oak  Park    

O'Falion  

Orland  Park    

Ottawa    

Palatine    

Palos  Heights   

Palos  Hills    

Park  Forest    

Park  Ridge  

Peoria   

Pontiac  

Prospect  Heights  

Quincy    

Rantoul    

Richton  Park    

Riverdale  

River  Forest    

River  Grove    

Rockford   

Rock  Island   

Rolling  Meadows   

Romeoville  

Roselle   

Round  L^ke  Beach    

St.  Charles   

Sauk  Village    

Schaumburg  

Schiller  Park   

Skokie  

South  Holland   

Springfield    

Sterling  

Streamwood  

Strealor    

Summit    

Taylorville    

Tinley  Park    

Urbana   

Vernon  Hills  

Villa  Park  

Warrenville    

Washington    


10,370 
13,934 
22,628 

53,692 
17,154 
21,423 
86,190 
28.562 

40,416 
14,601 
32,625 
35,321 
12,627 

26,460 
56,734 
54,175 
16,230 
36,071 

17,622 
39,638 
11,590 
17,978 
24,898 

36,530 
114,619 
11,540 
15,388 
40,071 

17,381 
10,626 
13,805 
11,783 
10,058 

140,796 
40,950 

22,813 
14,212 
21,023 

16,595 
22,722 
10,023 
69,260 
11,298 

60,016 

22,322 

106,261 

15,280 

31,291 

14,258 
10,069 
11,242 
37,485 
36,701 

1 5,469 

22.471 
11,444 
10,198 


20 
42 

6 
16 

9 

15 
17 

6 
122 

6 

18 

47 

295 

3 

9 

4 

23 

1 

5 

25 

7 
499 


9 
15 

12 
8 
50 
25 
12 

531 

106 

12 

4 

9 

5 
12 

6 
43 
19 

26 
16 

324 
6 
9 

1 
37 


20 
15 

50 
97 
31 
55 
10 

81 
12 
12 
86 
6 

20 
42 
69 
13 
17 

16 

25 
2 
6 

36 

24 

1,129 

17 

28 

102 

30 

31 

59 

3 

14 

958 

330 

27 

20 

13 

29 
20 
36 
89 
15 

42 
16 
768 
24 
23 

17 
30 

7 

32 

111 

13 

25 
1 
5 


33 

57 
123 

244 
455 
113 
323 
104 

377 

72 

115 

711 

89 

117 
151 
875 
122 
82 

84 

276 

17 

37 

153 

247 

2.503 

65 

122 

377 

132 

72 

288 

221 

72 

3.418 

577 

180 

121 

81 

84 
107 

91 
725 

79 

364 
162 
2.475 
171 
184 

81 
103 
28 
98 
528 

57 

222 

35 

24 


431 

224 
665 

1.574 
902 
879 

2.057 
939 

1,106 
716 
728 

1,610 
293 

666 

1,247 

2,752 

326 

944 

684 
1,102 
127 
245 
586 

728 

6,362 

415 

424 

1,429 

613 
279 
406 
404 
303 

8,079 

1,759 

738 

510 

314 

559 
787 
346 
2.580 
475 

1.675 

538 

6,332 

575 
721 

185 

210 

96 

989 

1.300 

838 
956 
244 
182 


10 

7 
55 

141 
63 
29 
117 
111 

49 
114 

62 
127 

65 

92 
185 
297 

27 
149 

30 
69 
11 
50 
154 

62 
328 
17 
19 
50 

29 
51 
146 
61 
64 

1.228 
35 
49 
24 
14 

29 
22 
55 
285 
74 

190 

199 

395 

17 

37 

6 

79 

1 

100 

50 

25 

71 

11 

4 


See  footnote  at  end  of  table 


122 


Table  8. — Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1991 — Continued 


Cily  by  State 


Population 


Crime 
Index 
total 


Modified* 
Crime 
Index 
total 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Aggra- 
vated 
assault 


Burglar)' 


Larceny- 
theft 


Motor 
vehicle 
theft 


ILLINOIS'— Continued 

Wauliegan  

Westchester    

West  Chicago   

Western  Spnngs    

WestmonI    

Wheaton    

Wheeling   

Wiimette    

Win  net  ka  

Woodridge    

Wood  Dale    

Woodstock   

Worth   

Zion   

INDIANA 

Anderson  

Bedford    

Beech  Grove   

Carmel   

Clarksville  

Columbus   

Connersville  

Crawfordsville    

Crown  Point   

Dyer  

East  Chicago  

Elkhart    

Evansville   

Fort  Wayne   '. 

Frankfort  

Gary  

Goshen  

Greenfield  

Greenwood  

Griffith  

Hammond  

Highland    

Hobart    

Huntington  

1  nd lanapolis  

Jasper    

Kokomo  

Lafayette    

La  Porte    

1  jxKTence  

1  L'banon  

Logansport    

Marion    

Martinsville    

Mcrrillville   

Michigan  City    

M ishawaka   

M  unster    

New  Albany    

New  Castle    


70.074 

17,471 
14,941 
12,101 
21,436 
51,969 

30.205 
26,952 
12.293 
26.514 
12,547 

14,494 
11,318 
19,969 


60,165 

13.981 
13,541 
25,681 

20,068 
32,179 
15,734 
13.745 
17.938 

11.052 

34.294 

44,145 

127,772 

175,128 

14,929 

118,031 

24.079 

11,795 

26,577 

18,128 
85,236 
23,977 
22,081 
16,583 

489,392 
10,149 
45,496 
44,283 
21,762 

27,080 
12.202 
17.011 
33.005 
11,815 

27,580 
34.223 
43,114 
20,185 
36,753 

17,963 


3,828 
673 
697 

743 

1.636 

1,837 

1.028 

791 

382 

275 

3.235 

3.889 

7.658 

17.104 

855 

11.706 

1,307 

360 
1,322 

908 

8,017 

1,191 

839 

684 

36,005 

323 

2,600 

2,660 

1.475 

1,034 
266 
900 

2.402 
615 

1.349 
3.434 
3.250 
634 
2.349 

1.433 


3.868 
676 
701 
744 

1.638 

1,840 

1,035 

795 

382 

276 

3.235 

3,917 

7,712 

17,295 


855 

12,387 

1,316 

360 
1.324 


908 

8.1  15 

1,194 

841 

693 

36.291 

323 

2.612 

2,666 

1.475 

1 .035 
266 
901 

2.403 
617 

1,353 
3,453 
3.269 
635 
2.422 

1.433 


95 


25 
40 
45 
114 

5 

182 

11 

2 
5 

1 

47 
3 
7 
1 

561 

1 

14 

17 


231 

12 

7 

1 

5 

10 

7 
5 
3 
10 
4 

1 

40 


21 
10 
4 
4 
4 

3 

117 

87 

139 

573 

3 
762 
9 
3 
6 

18 

327 
20 

7 
3 

2.001 

1 

29 

22 

6 

33 
2 
5 

46 


23 

101 

70 

9 

15 


247 

7 

12 

3 

22 
27 


219 
31 
10 
26 

30 

140 

31 

6 

17 


1,062 

39 

592 

388 

38 

1,337 

118 

1 

5 

52 

763 

41 

28 

128 

4,415 

32 

158 

64 

212 

31 

50 

8 

246 


137 
148 
158 
14 
349 

10 


723 


641 
118 
129 
26 

175 
308 
251 
140 

75 

36 

421 

631 

1.638 

2,726 

63 

2,791 

143 

57 

148 

76 
1.281 

76 
122 
131 

8,732 

37 

385 

479 

124 

265 

39 

104 

433 

61 

82 
685 
479 

43 
284 

321 


3,486 


102 

332 

159 

488 

56 

192 

132 

546 

231 

1,159 

140 

790 

165 

488 

89 

220 

155 

792 

64 

267 

41 

390 

65 

189 

339 

926 

2,684 
493 
484 
648 

1,297 

1,305 

720 

621 

223 

208 

973 

2,955 

4,776 

11,354 

714 

3.333 

982 

283 

1.082 

600 
3,785 
793 
584 
408 

14.970 

232 

1,902 

1,954 

1,058 

602 
157 
761 
1,581 
520 

834 
2,170 
2,286 

510 
1,604 

1,050 


257 

37 
39 
3 
59 
36 

40 
37 
8 
63 
30 

16 
28 
54 


129 
28 
58 
43 

103 
60 
20 
17 
62 

24 

631 

134 

456 

1,926 

32 

3,242 

43 

14 

75 

161 

1,799 

258 

91 

13 

5,231 

20 

112 

124 

66 

94 
16 
19 
76 
23 

270 

301 

238 

56 

89 

41 


^^L  lootnote  at  end  of  table 


123 


Table  8.— Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1991 — Continued 


City  by  Slate 


INDIANA— Continued 

Noblesville   

Plainfield  

Portage  

Richmond  

Schererville  

Speedway    

Terre  Haute  

Valparaiso  

Vincennes   

Wabash    

Warsaw    

West  Lafayette  

IOWA' 


KANSAS 

Arkansas  City  

Atchison  

CotTeyville    

Derby    

Dodge  City    

El  Dorado    

Emporia  

Garden  City    

Great  Bend    

Hays  

Hutchinson  

Independence  

Junction  City    

Kansas  City  

Lawrence  

Leavenworth    

Leawood    

Liberal    

Manhattan    

McPherson   

Merriam  

Newton  

Olathe  

Ottawa    

Overland  Park   

Parsons 

Pittsburg    

Prairie  Village    

Salina    

Shawnee  

Topeka    

Wichita  

Winfield  

KENTUCKY 

Ashland    

Bowling  Green  

Covington  

Danville  

Elizabethtown   


Population 


17,864 
10,556 
29,405 
39,164 

20,162 
13.247 
58,165 
24,704 
20,094 

12,271 
11.098 
26,214 


23,799 
40,946 
43,589 
12,513 

18,303 


Crime 
Indeic 
total 


695 

482 

1,424 

2,067 

514 
972 

3,013 
990 

1,542 

302 

699 

1,075 


12,851 

939 

10.730 

531 

13,007 

1,080 

14,802 

600 

21,277 

1,665 

11,584 

515 

25,691 

2,037 

24,266 

2,640 

15,535 

989 

17,891 

732 

39,584 

3,147 

10,011 

793 

20,748 

1,945 

150,819 

17,944 

66,069 

4,752 

38,765 

1,779 

19,831 

447 

16,689 

1,253 

37,976 

1,885 

12,509 

288 

1 1 .904 

717 

16.817 

645 

63.797 

3,383 

10.741 

304 

112.575 

5,482 

12,007 

695 

17.899 

1,333 

23.348 

612 

42.600 

3.267 

38.260 

1.516 

120,725 

12.598 

306,339 

30.113 

12,014 

453 

1.032 
3.510 

4,51 
724 

1.035 


Modified" 
Crime 
Index 
total 


704 

484 

1,431 

2,168 

514 
975 

3,054 
996 

1,545 

307 

705 

1.078 


18.059 


,910 


5.536 


3.295 


12.654 


1.044 
3,518 
4,512 

725 

1 .039  I 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


32 


6 

79 

284 

3 


Robbery 


17 

3 

17 

20 

8 

1 

41 

4 

32 

1.039 

44 
28 
5 
14 
16 


83 

2 

3 

11 

11 

39 

332 

1.404 


17 

61 

166 

3 


Aggra- 
vated 
assault 


114 
15 
58 
23 


71 
30 
66 
50 

98 

42 

102 

164 

63 

21 
172 

42 

150 

1.525 

194 

147 

21 

54 


7 
39 

25 

252 

26 

194 
29 

44 
18 
91 

97 

1,000 

960 

12 


38 
298 
731 
110 

125 


Burglary 


106 

58 

233 

446 

58 
101 
671 
132 

375 

78 
92 
135 


205 
100 
325 
121 

623 
96 
345 
468 
198 

117 
659 
205 
308 
4,170 

926 
361 
111 
281 
311 

26 
136 

143 

565 

59 

799 

177 
271 
170 
471 

289 
3.524 
7.459 

132 


241 

783 

1.242 

173 

166 


Larceny- 
theft 


439 

381 

944 

1.457 

348 
762 

1.937 
737 

1.072 

163 

562 
868 


625 
373 
658 
403 

820 

348 

1.498 

1.872 

688 

570 
2.141 

507 
1,379 
8.469 

3,413 

1,150 

295 

840 

1,417 

236 
465 

456 

2,381 

210 

4,072 
473 
970 
388 

2.588 

1.016 

7.148 

17.089 

279 


674 
2.168 
2.099 

420 

706 


Motor 
vehicle 
theft 


28 
21 
175 


100 
81 

249 
56 
66 

9 

35 
34 


26 
21 
13 
15 

92 

21 
52 
89 

25 

23 

110 

26 

52 

2,515 

138 
68 
15 
53 
39 

12 

48 

15 

121 

7 

299 
14 
37 
24 
83 

68 

499 

2,893 

27 


47 
174 
241 

12 

24 


Sec  footnote  at  end  of  table 


124 


Table  8. — Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1991 — Continued 


Cuy  by  Stale 


Population 


Cnine 
Index 
total 


Modified* 
Cnine 
Index 
total 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbcr> 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


KENTUCKY— Continued 

Erianger  

Florence  

Fort  Thotnas  

Frankfort  

Georgetown    

Glasgow 

Henderson    

Hopkinsville    

Independence   

Jeffersonlown    

Lexington    

Louisville*  

Madisonville    

Mayfleld    

Middlesboro  

Murray   

Newport  

Nicholasville    

Owensboro   

Paducah   

RadclifT   

Richtnond  

St.  Matthews  

Shively    

Somerset    

Winchester   

LOUISIANA 

Alexandria    

Baton  Rouge  

Bogatusa  

Bossier  City  

Crowley    

Gretna    

Harahan  

Houma   

Jennings  

Kenner   

Lafayette    

Lake  Charles  

Monroe  

New  Iberia  

New  Orleans  

Pineville  

Ruston    

Shreveport    

Sulphur  

West  Monroe   

Westwego    

MAINE 

Auburn   

Augusta    

Bangor    

Bath   

Biddeford    

See  footnote  at  end  of  table. 


16,099 
18,764 
16,152 
26,163 

11,499 

12.443 
26,140 
30,033 
10,522 

23,395 

227,060 

271,245 

16,321 

10,009 

11,413 

14,547 
19,012 
13,705 
53,951 

27,460 
19,920 
21,314 
15,918 
15,651 

10,813 
15,917 


49.561 

235,453 

14.388 

53.121 

14.089 
17.338 
10.002 
37.545 
11.390 

72.579 
95,156 
71.115 
55,325 
32,069 

500.791 
12.343 
20.179 

200.031 

20.277 

14.202 
11.303 


23,800 
21,435 
31,342 
10,896 

21,221 


730 
1,168 

219 
1,413 

860 

118 
2,4-82 
1,745 

226 

673 

15,936 

17,428 

1,391 

497 

867 
480 

1,637 
627 

2,712 

3,041 
786 

1,142 
834 
670 

637 
608 


5,004 

30.886 

1.056 

3.777 

969 
1.836 

421 
2.571 

720 

6.657 
8.620 
4,935 
6.976 
1.222 

54.238 

636 

1.422 

20.199 
845 

1.278 
831 


858 
1,462 
2,006 

482 

1,351 


7.30 
1.174 

219 
1,415 

863 

118 

2,489 

1,756 

226 

673 

16,036 

17,736 

1.394 

497 

868 

480 

1.639 

627 

2.722 

3.045 
791 

1.144 
857 
670 

638 
611 


5.035 

31.052 

1,059 

3,784 

970 

1,840 

426 

2,575 
724 

6.660 
8.659 
4.951 
6.977 


639 


20.361 
851 


1.279 
832 


859 
1.478 
2,018 


1.364 


345 
I 


50 


164 
157 


38 

142 

6 

17 

4 
10 

1 
26 

7 

36 
55 
40 
36 
3 

302 
10 

7 
120 

4 

10 
3 


13 


32 

36 

1 

9 

453 

1,246 

11 

9 

2 

1 

46 

4 

37 

60 

9 

20 

17 
40 


106 

1,139 

20 

66 


149 

6 

89 

7 

285 
321 
149 
135 

42 

5,969 
3 

13 

725 
4 


121 
26 
14 

160 

161 

5 

474 

184 

6 

22 

1,172 

799 

132 

90 

34 

38 

175 

98 

57 

425 
25 

173 
46 
43 

44 
67 


208 

4,113 

96 

304 

113 
127 
12 
381 
120 

640 
560 
563 
846 
25 

4.353 

19 

62 

1.622 

108 

59 
60 


35 


97 
139 

46 
258 

117 

19 

342 

425 

57 

72 

3.211 

5,007 

213 

108 

212 
119 
426 
100 
556 

516 
169 
225 
151 
199 


89 


1,181 

6.390 

281 

605 

149 
431 
57 
408 
158 

1.122 
1.649 

960 
1.316 

339 

12.400 

172 

229 

4.539 

132 

137 
197 


173 
294 
349 

52 

239 


479 
925 
152 
897 

527 

75 

1.552 

1.039 

151 

543 

10.075 

8.446 

956 

257 

563 
307 
845 
401 
1,926 

1,901 
541 
608 
599 
305 

468 
423 


3,152 

16,026 

610 

2,525 

684 
907 
328 
1,569 
418 

3.658 
5.620 
2.891 
4.400 
778 

20.977 

408 

1.074 

12.080 
554 

1.003 
474 


627 
1.082 
1,536 

405 

973 


25 


56 

6 

6 

61 

2 

31 

3 

18 

77 

7 

50 

11 

10 

25 

848 

100 

1,730 

308 

70 

3 

78 

52 

, 

n 

128 

2 

73 

108 

124 
30 

105 
38 
78 

35 
18 


310 

3,018 

40 

258 

17 

211 

16 

95 

8 

904 
407 
319 
239 
35 

9,892 
23 
37 

1,063 
43 

65 
65 


125 


Table  8. — Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1991 — Continued 


City  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 
theft 


MAINE— Continued 

Brunswick  

Gorham   

Lewiston    

Orono   

Portland  

Presque  Isle  

Saco   

Sanford  

Scarborough  

South  Portland    

Waterville  

Westbrook    

Windham    

MARYLAND 

Aberdeen  

Annapolis   

Baltimore    

Cambridge    

Cumberland  

Frederick  

Greenbelt    

Hagerstown    

Hyattsville    

Laurel   

Salisbury   

Takoma  Park  (Montgomery  County) 
Westminster  

MASSACHUSETTS 

Arlington  

Barnstable  

Bedford    

Belcherlown   

Bellingham   

Belmont   

Beverly   

Boston  

Braintree   

Bridgewater   

Brockton    

Brookline  

Cambridge    

Chelmsford  

Danvers    

Dartmouth    

Dennis 

Dracul  

Duxbury  

East  Bridgewater  

East  Longmeadow   

Easton  

Fall  River  

Fitchburg  

Framingham    

Gloucester  

Harvard  


21,026 
11,924 
39,251 
10,633 

62,460 
10,620 
15.564 
20,580 
12,590 

23,026 
17,480 
15,574 
1 3,094 


13,301 

33,731 

748,099 

11,703 

24,095 
40,807 
21,442 
36,027 
14,091 

19,757 
20,930 
12,119 
13,282 


44,478 
40,810 
12,951 
10,543 

14,826 
24,636 
38,065 
572,454 
33.721 

21,176 
92,473 
54,532 
95,477 
32,273 

24,092 

27,151 
13,817 
25,507 
13.847 

11.066 

13.321 
19,739 
92,388 
41,054 

64,768 
28.618 
12,287 


723 

245 

2,283 

193 

7,503 
248 
779 
816 
455 

1,464 

1,249 

689 

495 


1,069 

2,793 

85.068 

858 

1,409 
2.550 
1.145 
2.093 
859 

1.266 

2.811 

726 

1,008 


976 

3,360 

201 

220 

275 
493 

1,206 
62,039 

1,680 

429 
8,412 
2,623 
6,330 
1,040 

1,487 
1,590 

717 
1,179 

190 

442 

662 

377 

5,958 

1,565 

3,007 

1,037 

29 


247 

2,293 

193 

7,605 
248 
791 
816 
455 

1,465 

1,254 

701 

497 


1,070 

2,852 

85,669 

868 

1,410 

2,576 

2,115 


2.841 
1.018 


3,360 
202 
220 


313 
499 


1,687 

429 

2,624 
6,367 
1,041 

1,488 
1,592 

720 
1,179 

190 

442 

669 

377 

6,082 


3,008 

1.050 

30 


1 

304 

1 


1 
113 


6 

25 
701 


11 

486 

9 

5 
36 

9 
40 

2 

5 

4 


120 
1 


10 


14 
161 

10.770 
21 

11 
63 
64 
40 
45 

37 

100 

59 

7 


4,784 
34 

2 

362 

95 

397 

9 

17 
19 
4 

2 
2 

5 

6 

7 

168 

56 

49 
3 
I 


5 
II 
64 

6 

289 

4 

7 


80 
220 

7,257 
125 

167 
350 

67 
185 

44 

61 

248 

25 

34 


142 

548 

12 

18 

17 
11 
33 
6,446 
81 

39 

578 

193 

564 

82 

58 
130 
29 

74 
5 

53 

46 

24 

451 

160 

532 
249 

2 


132 
79 

519 
23 

1,837 
62 
141 
166 
118 

103 
120 
124 
11« 


202 

549 

16,230 

161 

255 
398 
134 
410 
196 

190 
590 
121 
104 


247 

912 

50 

82 

96 

130 

447 

10,029 

263 

95 
2,342 

511 
1,093 

171 

193 
351 
234 
278 
61 

118 

97 

127 

1.374 

444 

613 

186 

10 


556 
136 

1.582 
155 

4.699 
163 
605 
615 
302 

1.293 

1.072 

518 

351 


707 

1.735 

39.213 

529 

943 
1.604 

637 
1.336 

431 

839 

1.758 

429 

812 


455 

1.633 

110 

106 

130 

320 

552 

26.726 

918 

233 
2,437 
1,305 
3,222 

669 

935 
851 
417 
566 
118 

204 
425 
149 
2,909 
608 

1,479 

511 

13 


25 
18 
63 

7 

478 
16 

22 
26 
23 

37 
31 
34 

22 


60 

102 

10.593 

19 

24 
108 
232 
106 
138 

130 
94 
83 
46 


119 

202 
24 
12 

25 

24 

144 

13,455 

375 

55 
2,644 

510 
1,009 

107 

278 

235 

31 

259 

4 

60 
85 
70  . 
990 

274 

311 

85 

3 


126 


Fable  8. — Number  of  OfTenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1991 — Continued 


City  by  Stale 


Population 


Crime 
Index 
total 


Modined' 
Crime 
Index 
total 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
ihcft 


MASSACHUSETTS— Continued 

Karwich  

Haverhill   

Hingham    

Holden   

Hollislon   

^udson  

^ull  

-awrence  

-eicester    

-eominster  

.exington    

-udlow  

-ynn    

.ynnfield  

vlalden   

^arblehead    

vlarshfield    

rledfieid    

Bedford  

vlelrose    

vlethuen    

vliddleboro    

vlilford  

vlilton   

■Jeedham   

<evi  Bedford    

>lewton  

•Jorthamplon    

^orth  Andover 

^orth  Attleboro    

^orthbridge 

>lorth  Reading  

Niorwood   

'eabody  

'embroke   

'epperell    

•illsfield    

Juincy    

leading   

Severe    

iaiem    

)augus  

icituate    

ieekonk    

iharon    

Somerset    

Jomerville  

iouth  Hadley    

ipnngfield    

Itoneham    

itoughton    

iwampscott    

Taunton   

A^aliham    

A'atertown    

Vebster    

Vestborough   


10,240 
51,243 

19,753 
14,578 
12,882 
17,174 
10,430 

69,968 
10,156 
38,015 
28,875 
18,756 

80,969 
11,235 
53,701 
19,903 
21,458 

10,495 
57,212 
28,054 
39,854 
17,806 

25,269 
25,637 
27,463 
99,583 
82,305 

29,189 
22,714 
24,953 
13,325 
11,961 

28,602 
46,879 
14,494 
10,063 
48,457 

84,667 
22,462 
42,640 
37,961 
25,462 

16,729 
13,001 
15,464 
17,595 
75,951 

16,628 
156,450 
22,127 
26,686 
13,603 

49,663 
57,681 
33,171 
16,141 
14,085 


438 
3,668 

553 
134 
174 
301 
476 

7,380 
233 

1,707 
436 
577 

7,235 
199 

2,415 
385 
654 

151 

2,240 

613 

2,377 
873 

294 

439 

508 

6,872 

2,726 

1,373 
913 

1,595 
336 
376 

768 

2,553 

434 

288 

2,222 

3,606 

278 
2,526 
1,756 
2,004 

247 
839 
108 
587 
2,999 

324 
17,480 
876 
829 
387 

2,081 

2,512 

1,679 

453 

385 


472 
3,708 

553 
135 
176 
303 
481 

7,406 
234 

437 
578 


199 

2,415 
385 


152 

2,249 
615 

2,382 
876 

295 

439 

508 

7,027 

2,737 

1,379 
916 

1,595 
337 
383 

805 

2,558 

434 

289 

2.231 

3,622 
278 
2,526 
1,758 
2,047 

250 
840 
109 
588 
3.024 

324 

17,654 

876 

830 


2,084 

2,512 

1,679 

457 

385 


13 


15 


146 
1 
5 


303 

1 

17 

2 

3 

387 

3 

81 

I 

4 

2 
47 

9 
49 

1 

2 
21 

6 

377 

46 

5 
1 

9 
2 
3 

2 
31 


6 
137 

I 

807 

7 

11 

4 

56 

21 

13 

9 

2 


26 
264 

1 

10 

10 

29 

120 

977 
24 

147 

2 

95 

921 
6 

406 
28 
51 

10 

361 

II 

57 
134 

1 

42 

25 

880 

137 

119 
36 

136 

88 

9 

95 
66 
46 
83 
305 

219 

9 

222 

145 

97 

19 

14 

8 

27 

397 

33 
1,978 

17 

39 

4 

205 
29 

153 
56 
33 


144 
1,132 

82 
33 
40 
72 
174 

2,238 
56 

307 
89 

118 

2.033 

73 
603 

66 
127 

32 
436 
162 
474 
214 

93 

87 

77 

2.059 

531 

179 

170 

220 

43 

88 

153 

481 

109 

56 

728 

1,000 

55 

664 

361 

302 

81 
132 

50 
127 
776 

64 
4,024 
118 
189 
136 

570 
519 
186 
150 
72 


250 
1,530 

427 
83 
119 
180 
146 

1.568 
127 

1,054 
328 
294 

2,261 

72 
822 
267 
417 

101 
1,036 

336 
1,021 

417 

133 

223 

375 

2,115 

1,697 

907 
595 
1,004 
180 
216 

391 

1,487 
253 
142 

1.018 

1,536 
177 
486 
844 

1,061 

131 
568 
42 
358 
905 

180 

6,794 
520 
429 
209 

852 

1.686 

1.087 

211 

246 


12 
658 

38 

7 

4 

17 

31 

2.260 

22 

169 

14 

67 

1,606 

45 

492 

23 
51 

3 

354 

90 

760 

103 

65 

65 

25 

1,361 

308 

160 

109 

210 

II 

60 

120 

472 

26 

7 

128 

725 

31 

1,056 

357 

514 

12 

120 

7 

64 
766 

46 

3,718 

213 

156 

34 

388 

252 
234 

21 

31 


127 


Table  8.— Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1991— Continued 


Cily  by  Slate 

Population 

Cnme 
Index 
total 

Modined- 
Cnme 
Indei 
total 

Murder 
and  non- 
negligent 

man- 
slaughter 

Forcible 
rape 

Robbery 

Aggra- 
vated 
assault 

Burglary 

Larceny- 
theft 

Motor 
vehicle 
theft 

Arwn* 

MASSACHUSETTS— Continued 

38.241 
10.165 
13.805 
27.443 
12.514 

53.879 
12.592 
17.591 
20.198 
21,102 

22,269 
10.144 
31.335 
11.442 

1 10,449 
17,209 
53,958 
39,240 
12,918 

17,297 
17,092 
11,837 
10,692 
12,701 

20,153 
20,652 
42,805 
12,846 
18,958 

10,985 
27,832 
10,183 
57,486 
26,107 

13,982 
13,517 

86,537 
15,962 
14,785 

89.984 
61,313 
1.036.246 
10.529 
10,891 

51.073 
12,275 
10,848 
10,211 
75,235 

25.280 
141,861 

34,347 
14,007 
32,095 

24,281 

1,895 
106 
363 

2,900 

279 

2,044 
368 
609 
298 

1,197 

1,353 
645 

1,478 
644 

6,991 
1,071 
6,339 
2,433 
3,022 

2,968 
478 
339 
286 
678 

930 
699 
1,614 
449 
981 

1,414 
1,963 
646 
2.451 
1,078 

460 

432 

4,864 

998 

373 

7.582 

3.816 

127.080 

367 

257 

2.312 
900 
639 
424 

3,074 

1,953 

18,888 

2,812 

846 

1,415 

1,037 

1,916 
107 
363 

2.918 
280 

2,057 
368 

298 
1,204 

1,353 
646 

1,479 
651 

7.042 
1.090 
6,380 
2,442 
3,044 

2,987 
479 
340 

292 
680 

934 
702 
1,630 
451 
990 

1,432 
1,973 
652 
2,472 
1,080 

462 

434 
4,886 
1,003 

374 

7.604 

3,818 

128,604 

370 

257 

2.331 
923 
645 
427 

3,094 

1.962 

19,245 

2,820 

851 

1,427 

1,060 

18 

26 

255 

431 

26 

104 

583 

56 

438 
98 
160 

74 
365 

126 

139 

217 

93 

1,251 
237 

1,507 
470 
898 

522 
66 
50 
42 
97 

135 
85 
205 
108 
174 

269 
350 
86 
388 
216 

73 

85 

836 

162 

92 

745 

599 

26,059 

74 

33 

270 
233 
178 
47 
574 

325 
5,071 
440 
104 
208 

305 

1,019 
79 

165 
1,634 

189 

1.067 
195 
295 
181 
649 

1.165 
436 
903 
494 

4.725 
586 
3.503 
1.592 
1,092 

1,986 
351 
249 

223 
533 

724 
564 
1,204 
289 
606 

912 
1.341 

506 
1.666 

766 

314 
335 

3.244 
664 
241 

5,487 

2,345 

44.019 

227 

201 

1.640 
364 
393 
337 

2,077 

1.103 
8.304 
1,974 
596 
1.029 

524 

146 
1 

63 
445 

23 

339 
59 
80 
27 
81 

40 
11 

272 
29 

402 
116 

407 
135 
134 

127 
20 
15 
14 
15 

43 
30 

141 
8 

128 

47 
123 

20 
259 

60 

31 

8 

371 

56 

20 

820 

533 

28,740 

28 

15 

246 

121 

35 

25 

242 

275 
2,150 

200 
77 
98 

84 

21 

Weston 

1 

2 

11 

1 

10 

1 
2 
2 

11 

3 

44 

6 

30 

2 

7 

1 

12 

6 
13 
38 

4 

148 
20 

234 
43 

152 

51 
12 

3 
1 
I 

8 
8 

23 
14 
12 

52 
37 
2 
25 
11 

7 
1 
78 
5 
3 

198 

102 

13,569 

4 

4 

34 
43 
13 
9 
39 

75 
915 
64 
11 
15 

27 

26 
181 

4 

160 
13 
65 

13 
79 

16 
41 
43 
16 

413 
94 
604 
152 
688 

237 

26 

21 

6 

24 

17 

6 

38 

29 

55 

122 
90 
25 
80 
23 

27 

3 

287 

106 

10 

315 

179 

12,651 

29 

1 

68 
132 

15 

2 

124 

151 
2,245 

106 
54 
59 

83 

2 

18 

1 

13 

Wilhrah^m 

7 

MICHIGAN 

5 
4 

7 

50 
17 
72 
39 
54 

43 
3 

1 

Allen  Park   

1 

2 
1 
12 
2 
4 

2 

1 

7 

51 

19 

Battle  Creek                  

41 

9 

22 

19 

1 

1 

Rpverlv   Hilk 

6 

8 

2 
6 
3 

2 

1 

4 

3 

16 

' 

2 

6 

10 
21 

7 
33 

2 

8 

9 

2 
1 

18 

10 

Cadillac 

6 

21 

2 

2 

2 

2 

46 

5 

7 

11 

57 

1,427 

5 

3 

54 
6 
4 
4 

13 

24 

151 

27 

4 

5 

13 

22 

5 

1 

6 

1 

615 

22 

Dearborn  Heights       

2 

1,524 

3 

19 

Ecorse   

Emmell  Township   

1 

23 
6 
3 

5 

20 

9 

Rint   

Flint  Township   

52 
1 

357 
8 

5 

1 
1 

12 

23 

Sec  fooinoic  at  end  of  table. 


128 


■  Table  8. — Number  of  Oflenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1991 — Continued 


City  by  Stale 


Population 


Cnme 
Index 
total 


Modified' 
Cnme 
Index 
total 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


MICHIGAN— Continued 


jrand  Blanc  Township 

'Grand  Haven   

jrand  Rapids  

3randville  


jreen  Oalc  Township 
jrosse  Pointe  Fairos  . 
jrosse  Pointe  Park  ... 
jrosse  Pointe  Woods 
Hamburg  Township    . . 


-lamtramck    . . . 
Harper  Woods 

Hazel  Park  

Highland  Park 
Holland    


Huron  Township    

lackson  

Calamazoo   

Calamazoo  Township 
Ceniwood    


^nsing  

^oni  Township    . . 
Jncoln  Township 

-incoln  Park  

-ivonia  


vladison  Heights 

Vlarquette   

Vlelvindale   

Vlidland  

Vlonroe  


Vlount  Clemens  

Mount  Morris  Township 

Mount  Pleasant   

Mundy  Township  

Muskegon    


Muskegon  Heights  

Muskegon  Township  

Miles    

Niles  Township   

Northville  Township  

Norton  Shores 

Novi  

Oak  Park    

Oscoda-Ausable  Township 
Owosso  

Pittsfield  Township  

Plymouth  Township    

Portage   

Port  Huron    

Redford  Township  


River  Rouge 
Riverview    ... 

Romulus    

Roseville   

Roval  Oak    .. 


Saginaw    

Saginaw  Township 
St.  Clair  Shores  ... 


25,590 

12.044 

190,604 

15,746 

11,694 
10,170 
12,957 
17,853 
13.185 

18,515 
15,019 
20,207 
20,278 
30,985 

10.528 
37,738 
80,904 
21.140 
38,121 

128.315 
13,540 
13,710 
42.159 

101,638 

32.447 
22,148 
11,303 
38,349 
23,081 

18,548 
25,395 
23.467 
11,601 
40,598 

13.279 
15,421 
12,555 
12,928 
17,448 

21,925 
33.256 
30,700 
14,381 
16,449 

17.806 
23,832 
41.362 
33.957 
54.812 

11,402 
14,002 
23.076 
51,814 
65.921 

70.055 
37,978 
68.639 


1.015 

787 

17.494 

597 

237 
437 
544 
374 
291 

2.467 
1.850 
1.871 
3,532 
1,872 

393 
4.728 
8.334 
1.027 
2.085 

10.340 

693 

401 

2.925 

4.321 

1,568 
765 
1.124 
1,427 
1,324 

1.769 
1.606 
1 . 1  36 
582 
5.648 

2.125 

1.184 

1.022 

382 

588 

944 

1,730 

2,392 

366 

933 

1,679 

755 
2,475 
2,421 
3.627 

1 .039 
438 
2.233 
5.406 
3.680 

8.744 
2.002 
3,548 


1.017 

794 

17.607 

599 

238 

437 
548 
377 
292 

2.473 
1.854 
1.887 
3.552 
1.876 

396 
4,766 
8,403 
1,029 
2.093 

10,427 

694 

402 

2,930 


1,579 
769 
1.127 
1,448 
1.337 

1.782 
1.619 
1.141 
582 
5,672 

2.135 

1.185 

1.028 

386 

595 

948 

1.732 

2,400 

371 

937 

1,685 
756 
2,480 
2,449 
3,627 

1.062 
438 
2.246 
5.422 
3.697 

8.926 
2,010 
3.569 


22 


22 


5 

370 

9 

5 


33 

49 
24 

198 
13 
10 


5 

3 

771 

6 

2 
II 
18 
10 

2 

139 

42 

64 

338 

9 


119 

366 

15 

29 

294 

3 

1 

70 

101 


26 

3 

26 

69 

80 

6 

5 

157 

68 

13 

12 

1 

3 

13 
10 

98 


33 
5 
8 

44 
146 

40 
1 

55 
73 
89 

576 
28 
40 


81 

29 

2.115 

5 

12 
3 

7 


338 
11 
183 
571 
128 

18 

1.303 

1,255 

81 

55 

1,274 

47 

32 

118 

164 

81 
26 
39 
30 
103 

161 

129 

24 

33 

539 

246 

3 

62 

II 

10 

25 
32 
275 
21 
58 

143 
14 

77 
228 
128 

83 

6 

161 

208 

126 

1,586 
80 
119 


189 

77 

4.270 

103 

57 
35 
62 
43 
98 

508 

77 
285 
579 
223 

118 
670 
1,678 
233 
298 

1.759 

97 

90 

474 

653 

192 
66 
203 
133 
165 

331 

476 

124 

94 

1,283 

423 
221 
202 
106 
81 

98 
169 
355 

99 
198 

176 
135 
303 
486 
531 

233 
70 
360 
555 
515 

2,041 
235 
510 


655 

652 

8,675 

434 

143 
368 
396 
269 

155 

1,018 
1,493 
1,081 
1,197 
1.426 

211 
2.349 
4.621 

637 
1,555 

6.218 

519 

256 

1,787 

2,883 

1,043 
635 
677 

1,192 
938 

1,096 
692 
945 
418 

3,184 

1.228 
909 
683 
249 
442 

752 

1,393 

1,332 

229 

633 

1,168 
522 
2,002 
1,485 
2,209 

469 

329 

1.284 

3,880 

2,585 

3,931 

1.592 
2,482 


76 

21 

1.271 

40 

16 
20 
61 

52 
17 

439 
226 
245 
749 
53 

42 
183 
349 

43 
125 

595 

20 

19 

464 

498 

214 
29 

172 
39 

73 

100 

200 

28 

29 

455 

142 
34 
52 
14 
51 

53 

122 

307 

10 

26 

146 
79 
62 

138 

574 

197 
32 
340 
639 
335 

381 

54 

385 


129 


Table  8. — Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  io  Population,  1991 — Continued 


Cily  by  Slale 


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 
then 


MICHIGAN— Continued 

Sault  Ste.  Maiie   

Shelby  Township    

Southfield   

Southgate  

Sterling  Heights  

Sturgis  

Summit  Township   

Sumpter  Township    

Taylor  

Thomas  Township  

Traverse  City   

Trenton    

Troy  

Van  Buren  Township    

Walker    

Warren   

Waterford  Township  

Wayne  

West  Bloomfield  Township    

Westland   

White  Lake  Township  

Woodhaven    

Wyandotte    

Wyoming  

Ypsilanti    

MINNESOTA 

Albert  Lea    

Andover  

Anoka   

Apple  Valley   

Austin  

Bemidji    

Blaine    

Bloomington    

Brooklyn  Center   

Brooklyn  Park   

Bumsville   

Champlin    

Chanhassen    

Chaska    

Cloquet  

Columbia  Heights    

Coon  Rapids  

Cottage  Grove   

Crystal    

Duluth    

Eagan    

Eden  Prairie   

Edina  

Elk  River    

Fairmont   

Faribault    

Fergus  Falls  

Fridley    

Golden  Valley    


14.803 
49,035 

76,320 
31,011 
118,731 
10,209 
21,295 

10,976 
71,364 
11,056 
15,273 
20,746 

73,453 
21,174 
17,414 
145,996 
67,213 

20,054 

54,942 
85,386 
22,784 
11,721 

31,179 
64,390 
25.040 


18,548 
15,413 
17,415 
35,048 

22,192 
11,391 
39,482 
87,458 
29,262 

57,114 
51,955 
17,068 
11.884 
11.486 

11,026 
19,156 
53,667 
23,233 
24,097 

86,605 

48,025 
39,822 
46,669 
11.287 

11,411 
17,307 
12,522 
28,703 
21,243 


588 
1,842 

5,693 

1,970 

5,789 

483 

515 

404 
6,019 

317 
922 
537 

3,733 
994 
1.372 
9.346 
4.793 

1.320 

1,499 

5,633 

935 

961 

1,326 
4,213 
2,179 


703 

483 

928 

1,074 

971 
1.365 
2,563 
3,740 
2,689 

3,295 

2,760 

512 

204 

471 

562 

1,163 

2,588 

830 

917 

4,886 
1.582 
1,437 
1,658 
504 

628 
957 
671 
1,840 
843 


1,858 

5,715 

1,985 

5,849 

484 

516 

413 
6,042 

928 
540 

3,756 
997 
1,376 
9,394 
4,809 


1.506 

5,683 

951 

967 

1,330 

4,227 
2,186 


710 

487 

931 

1,081 

973 
1,366 
2,568 
3,752 
2,695 

3,312 

2,768 

512 

205 

475 

568 

1,177 

2,603 

833 

921 

4,904 
1,588 
1,449 
1,660 
507 

628 
965 
672 
1,846 
846 


17 

19 

10 

113 

42 

30 
6 

45 
6 
4 

4 
30 

45 


6 
13 

242 

23 

60 

5 


1 

119 

1 

4 
10 

35 
14 
10 
318 
50 

46 

16 

89 

4 

4 

22 
83 
85 


13 
99 

297 
97 

288 
62 
47 

36 

271 

4 

32 

30 

134 

45 

29 

759 

289 

123 
75 

357 
70 
32 

44 
206 
259 


19 
23 
42 
29 

25 
54 
42 
85 
76 

248 

29 

19 

8 

11 

17 
52 
48 
39 
44 

189 
30 
38 
23 
15 

10 
24 
15 
35 
12 


90 
293 

911 
208 
654 
77 
136 

126 

867 

26 

114 

529 
149 
174 
1,437 
658 

242 
276 
928 
139 
82 

176 
746 
398 


92 
123 
175 
175 

153 
82 
285 
497 
299 

640 

248 

91 

26 

77 

104 
211 
421 
118 
160 

877 
198 
167 
258 
60 

100 
212 
116 
265 
180 


449 
1,301 

2,978 

1,300 

4,342 

318 

309 

178 
3.499 
277 
723 
329 

2.646 
655 
1,109 
5,050 
3,277 

721 
1,053 
3,469 

670 

723 

964 
2,872 
1,145 


554 
309 
630 
820 

729 
1,107 
2,103 
2,754 
1,992 

2,057 

2,258 

370 

148 

349 

390 
816 
1,960 
612 
628 

3,443 
1,260 
1,161 
1,315 
390 

490 
671 
507 
1,392 
566 


25 
125 

1,230 

331 

404 

13 

12 

59 

1,205 

7 

38 

46 

371 

III 

40 

1,667 

474 

157 
72 

741 
46 

116 

115 

274 
244 


28 
20 

55 
38 

49 
113 
113 
345 
239 

243 
187 

25 

19 

26 

46 

57 
131 
44 
61 

293 
75 
55 
50 
31 

20  , 
45 

27 
115 
69 


130 


Table  8.— Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1991— Continued 

Cily  by  State 

Population 

Critne 
Index 
total 

Modified' 
Cnme 
Index 
total 

Murder 
and  non- 
negligent 

man- 
slaughter 

Forcible 
rape 

Robbery 

Aggra- 
vated 
assault 

Burglary 

Larceny- 
theft 

Motor 
vehicle 
theft 

Arson* 

MINNESOTA— Continued 

15,645 
18,280 
16,749 
11,672 
22.769 

25.177 
31.886 
39.239 
31.356 
12,179 

373,303 
48,999 

32,715 
12,704 
22,495 

22,137 
13,302 
14,874 
10,296 
12,537 

18,613 
19,638 
51,551 
11,631 
12,569 

15,330 
36,174 
14,583 
71,665 
33,920 

49.445 
44.356 
275,776 
10,034 
11,891 

24,906 
10,534 
20,459 
11,184 
19,498 

25,025 
17.759 
25,729 
20,336 
10,106 

11,157 
19,860 
22,006 
23,972 

11,906 
45,556 
19,044 
10,943 

42,187 

198,183 

580 
318 
686 
592 
816 

950 
2,035 

870 
2,142 

463 

42,115 

1,771 

1,920 

520 

735 

658 
457 
419 
296 
426 

832 
658 
1,716 
624 
449 

797 
1,798 

845 
3,665 
2,415 

3,032 

2,041 

21,765 

354 

692 

290 
290 
990 
182 
1,233 

1,204 

1,000 

1.341 

785 

292 

153 

895 

874 

1.621 

392 
3.595 
1.798 
1,052 
3,150 

27,126 

581 
318 
698 
596 
826 

959 
2,049 

871 
2,165 

465 

1,781 

1,924 

522 

738 

660 
457 
427 
299 
433 

839 
659 
1.728 
624 
449 

803 
1.808 

850 
3,669 

2,422 

3,044 

2,050 

22,034 

356 

695 

291 
293 
998 
182 
1,236 

1,206 

1,006 

1.347 

790 

293 

153 

907 

875 

1.628 

392 
3.609 
1.806 

3,155 

27,250 

3 
3 
5 
1 
6 

3 
12 
5 
6 
4 

744 

12 

3 

3 
-) 

1 

2 

16 
9 

24 
8 

33 

14 
20 
20 
41 
17 

2,471 
43 
31 
17 
13 

24 
7 
8 
3 

15 

43 
16 
58 
7 
11 

25 
70 
14 
86 
25 

75 
46 
1,583 
12 
24 

2 

5 

23 

87 
61 
115 

75 
138 

139 
272 
129 
254 
52 

8,990 

372 

217 

74 

141 

80 
80 
46 
14 
70 

157 
88 

326 
74 

101 

113 

357 

.    96 

656 

235 

385 

292 

4,583 

79 

102 

32 
52 

121 
30 

117 

273 
108 
135 
175 
31 

65 
440 
269 
320 

160 

1,132 

564 

195 

829 

8,688 

397 
227 
447 
485 
563 

750 
1,629 

677 
1,663 

371 

22,155 

1,240 

1,606 

405 

514 

491 
355 
315 
263 
309 

565 
530 
1,212 
468 
300 

618 
1,172 

619 
2,714 
1,945 

2,362 

1,480 

12,124 

231 

496 

245 
215 
754 
133 
954 

817 
806 
1,152 
578 
234 

62 

367 

554 

1,147 

173 
2,319 
1,049 

622 
1,909 

12,710 

75 
18 
82 
23 
69 

42 
90 
36 
160 
19 

5.081 
93 

57 
20 

57 

54 
14 
44 
15 

25 

62 
21 
110 

72 
35 

35 
150 

92 
165 
177 

169 

177 

2,327 

25 

61 

7 

14 

82 

16 

111 

84 
40 

37 
25 

7 

9 

26 
23 
48 

33 
35 

123 
43 

108 

3,342 

1 

1 

12 

12 

4 

7 

2 
10 

2 
18 

10 

9 

2 
1 

14 

1 

23 

Marshall 

2 

64 
1 

2,610 
10 
6 

1 
8 

7 
1 
2 

4 

2 
1 

4 
3 
1 

1 
38 
20 

27 
27 

15 

39 

850 

3 
2 

4 
1 

9 
2 
14 

7 
5 
2 
1 
1 

1 
17 
10 
35 

12 
50 

22 
22 
55 

1,313 

10 

4 

2 

3 

1 

2 

^orthfield                                               

4 

8 

3 

*4orth  St    Paul     

1 

2 

3 
2 
6 

7 

3akdale                

7 

1 

12 

1 

5 
11 

4 

17 
5 

23 

7 

286 

4 

7 

Red  Wine                         

6 

10 

5 

4 

Roseville    

1 

3 

7 

Si    Cloud 

12 

Si    Louis  Park 

9 

Si    Paul    

12 

269 

2 

ShakoDce 

3 

1 

3 

1 

5 

1 
13 

1 

3 

8 

West  St    Paul 

32 

22 
27 
14 
6 
19 

13 
31 
12 
56 

12 

23 

19 

159 

217 

809 

3 

2 

Willmar    

1 

6 

6 

5 

1 

I                          MISSISSIPPI 

3 

12 

5 

8 

2 

1 
7 

2 
11 
8 

1 
5 

74 

12 

1 

7 

25 
13 
10 

27 

190 

14 

8 

Grenada             

5 

124 

Table  8. — Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1991 — Continued 


Cily  by  Slate 


Population 


Cnme 
Index 
total 


Modified* 
Crime 
Index 
total 


Murder 
and  non- 
negligent 

man- 
slaughter 


Foixrible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


MISSISSIPPI— Continued 

Laurel   

Long  Beach   

McComb   

Meridian    

Moss  Point    

Natchez    

Ocean  Springs    

Oxford    

Pascagoula    

Picayune    

Ridgeland   

Starkville  

Tupelo    

Vicksburg    

MISSOURI 

Arnold    

Ballwin   

Bellefontaine  Neighbors   

Belton    

Berkeley  

Blue  Springs    

Bridgeton  

Cape  Girardeau  

Carthage    

Chesterfield    

Clayton  

Columbia    

Creslwood  

Creve  Coeur   

Excelsior  Springs    

Farmington    

Ferguson    

Florissant    

Fulton   

Gladstone   

Grandview    

Hannibal   

Hazelwood    

Independence   

Ironton   

Jefferson  City  

Jennings  

Joplin    

Kansas  City  

Kirksville  

Kirkwood    

Lebanon  

Lees  Summit  

Maplewood  

Marshall  

Maryland  Heights    

Mary ville  

Mexico    

Moberly   

OFallon  

Overland   


18.964 
15.919 
11.675 
41,335 

17.967 
19.602 
14.765 
10,056 
26.088 

10,710 
11.799 
18,592 
30,909 
21.060 


18.978 
21.990 
11.009 
18,295 

12,549 
40,474 
17.921 
34.713 
10,832 

38,294 
13,984 
69,653 
11,323 
12,402 

10,436 
11,690 
22,464 
51,615 
10,113 

26.452 
25.166 
18.147 
15.446 
113.199 

10,811 
35,764 
16.032 
41.287 
438.188 

17,289 
27,509 
10,062 
46,789 
10,041 

12,812 
25,610 
10,748 
11,380 
12,941 

18,847 
18,130 


1,807 

627 

1,188 

2,124 

1,205 

2,065 

818 

692 

2,754 

597 
818 

1,427 
1,535 
1,749 


821 
511 
465 
655 

814 
1,632 
1,299 
2,215 

507 

961 
838 
4.662 
446 
504 

627 

649 

1.089 

1,479 

563 

911 

1,633 

966 

739 

7,775 

38 

1.789 

1.428 

3.973 

57.834 

737 
802 
481 
1.383 
820 

264 
1,106 
293 
245 
604 

694 
1,156 


1,813 

629 

1,188 

2.131 

1,244 

2,069 

820 

2,763 

597 

818 

1,429 

1,535 

1,751 


821 
513 
465 
657 

820 
1,641 
1,299 
2,219 

510 

967 
842 
4,702 
450 
504 

631 
649 

1,091 

1,488 

563 

923 

1,637 

970 

741 

7,823 

38 

1.810 

1.441 

4.011 

58.374 

738 
804 
484 
1.388 
820 

265 
1.110 
295 
246 
608 

695 
1,161 


1 

135 


12 
II 
13 

477 


39 

2 

21 

69 

35 

55 

13 

8 

135 

II 
23 
25 
12 
46 


52 
34 
10 

II 

60 

5 

14 
146 

1 

31 

67 

44 

4,955 

3 

9 

I 

16 

33 

2 

14 
1 
5 
6 


22 
20 
50 
45 

64 

145 

19 

30 

203 

44 

6 

150 

23 
166 


33 

16 

1 

39 

64 
59 
37 
80 
9 

50 

38 

313 

5 

15 

13 
80 

38 
65 
65 

72 

51 

59 

8 

439 

4 

83 

38 

85 

6,846 

2 

20 

9 

35 
51 


389 
191 
348 
650 

429 
504 
184 
149 
648 

85 

132 

282 

'267 

531 


125 
92 

114 
96 

239 
268 
186 
279 
126 

149 

195 

786 

46 

59 

113 
55 
281 
260 
119 

230 
314 
181 
161 
1,685 

5 

341 

256 

661 

13.008 

111 
154 
95 
295 
106 

62 
160 
32 
97 
96 

105 
197 


1,282 
385 
715 

1,153 

606 

1,296 

547 

488 

1.548 

429 
592 
916 
1,120 
896 


606 
384 
293 

472 

323 
1,186 

938 
1,770 

348 

724 
541 
3,291 
345 
367 

470 
477 
578 
1,045 
355 

496 

1.001 

670 

488 

4.693 

25 

1.231 

895 

3,011 

22,527 

581 
583 
326 
943 
559 

195 
784 
245 
128 
429 

554 
829 


58 
26 
46 
184 

50 
50 
41 
16 
185 

23 
63 
42 
109 
90 


41 
12 
46 
39 

124 
85 
94 
60 
18 

27 
53 
150 
36 
54 

27 

33 

135 

68 

9 

95 
195 
48 
67 
784 

3 

91 

161 

158 

9,886 

32 
33 
48 
92 
65 

5 

-79 

8 

6 

15 

15 
63 


132 


Table  8. — Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1991 — Continued 


City  by  Slate 


Populatioti 


Crime 
Index 
total 


Modified' 
Cnme 
Index 
total 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglan 


Larcenv- 

theft 


Motor 
vehicle 
theft 


MISSOURI— Continued 

Raytown    

Richmond  Heights  

loUa    

It.  Ann    

1st.  Charles  

It.  Joseph 

it.  Louis   

It.  Peters    

ledalia    

likeston   

Ipringfieid    

Jniversily  City    

Varrensburg    

Vashington    

Vebster  Groves  

MONTANA 

titlings   

jreat  Falls  

iavre    

Helena    

Calispell  

NEBR.\SK.\ 

ieatnce    

iellevue  

Tolumbus    

-  remont  

jrand  Island    

Hastings  

Kearney    

-incoln  

Norfolk  

North  Platte    

Otr.aha    

Papillion    

Scotlsbluff  

NEVADA 

Boulder  City   

Henderson    

Las  Vegas  Metropolitan  Police 

Department  Jurisdiction    

Reno    

Sparks  

NEW  H.\MPSHIRE 

Bedford    

Berlin    

Claremont  

Concord  

Derry  

Dover   

Durham    

Exeter    

Goffstown  


30.845 
10,531 
14.202 

14.604 
54.991 
72.426 
399.858 
46.145 

19.958 
17,782 
141.617 
40,407 
15.365 

10.789 
23.170 


82,106 
55,712 
10,315 
24,843 

12,050 


12,468 
31,268 
19,660 
23,899 

39,750 
23,048 
24,621 
193,749 
21,674 

22,814 

338,987 

10,468 

13,837 


13.426 
69.382 


656.391 
143,001 


57,015 


12,514 
11,778 
13,848 
35,868 

29,489 
24,946 
11,772 
12,433 
14.565 


1,252 

1,030 

652 


1,315 
2,259 
4,607 
64,103 
2,171 

992 

1,086 

11.905 

2.730 

540 

550 
533 


3,463 

5.381 

431 

996 

1.372 


616 

1.283 

692 

1,022 

2,800 

975 

1,375 

14,954 

1,185 

1,469 

24,004 

145 

1,038 


347 
3.308 


48.779 
12.089 


4,396 


259 

148 

612 

1,810 

1,363 
896 
244 
379 
387 


1.253 

1,039 

657 

1,315 

2,264 

4,629 

64,970 

2,179 

992 

1,097 

12,000 

2,752 

548 

551 
544 


3.480 

5.426 

432 

998 

1,372 


616 

1.283 

692 

1.028 

2,802 

977 

1,387 

15.013 

1.185 

1.474 

24,219 

146 

1.038 


3.334 


49,260 
12,148 


259 

155 

614 

1,817 

1,401 
899 
245 
384 
391 


2 

260 

1 

1 


103 
9 


12 

33 

342 

6 

11 
10 
54 
14 
1 

1 

2 


2 
7 
1 
3 

9 

4 

5 

89 

7 

6 

207 


69 


433 
167 


69 


46 
20 

4 

20 
47 
35 
5,294 
30 

10 
25 
151 
118 


1 

7 
2 

5 

18 
2 
4 
112 
4 

6 
634 


3 
107 


.3,193 

427 


100 


21 


34 
36 
41 

17 

111 

276 

!,180 

132 

37 

33 

426 

106 

16 

72 
27 


3 
23 
14 
17 

38 
10 
32 
890 
55 

51 
2,366 


15 
105 


1,932 
531 


232 


97 
104 

112 
416 
821 
13,396 
330 

135 

238 

2,560 

779 

93 

69 

122 


573 

692 

IS 

120 

137 


67 
183 

80 
121 

507 
151 
206 

2,327 
137 

216 

3,986 

16 

154 


84 
841 

10,743 
2,155 

779 


76 

26 

85 

315 

358 
79 
36 
50 
84 


763 
779 
483 

1,021 
1,516 

3.178 

27,381 

1,591 

766 

731 

8,275 

1,333 

408 

389 
347 


2,582 

4.290 

381 

757 

1.157 


523 

1.010 

563 

828 

2,124 

774 

1,052 

11,117 

956 

1,132 

1 5,040 

114 

823 


222 
1,874 


25,828 
8,168 


3,011 


162 

109 

479 

1,352 

820 
761 
192 
300 
284 


113 
95 
19 

141 

157 

262 

9,250 

81 

32 

49 

435 

378 

20 

15 

22 


227 

244 

25 

51 


55 


20 
53 
32 
48 

104 
34 
76 

419 

25 

57 

1,736 

4 

22 


23 
312 

6,547 
632 

202 


12 
5 

19 

76 

140 

27 

7 

23 

10 


133 


Table  8.— Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1991 — Continued 


City  by  Stale 


Population 


Cnme 
Index 
total 


Modified* 
Crime 
Index 
total 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
thefl 


NEW  HAMPSHIRE— Continued 

Hatnpton  

Hudson  

Keene    

Laconia    

Lebanon  

Londonderry    

Manchester  

Merrimack   

Milford  

Nashua  

Rochester    

Salem    

Somersworth   

NEW  JERSEY 

Aberdeen  Township    

Asbur>'  Park    

Atlantic  City   

Bamegat  Township    

Bayonne  

Beileville   

Bellmawr  

Bergenfield   

Berkeley  Heights  

Berkeley  Township    

Bernards  Township   

Bloomfield    

Branchburg  Township    

Brick  Township  

Bridgeton  

Bridgewater  Township  

Brigantine  

Burlington  Township    

Camden    

Carteret    

Cedar  Grove  Township    

Cherry  Hill    

Cinnaminson  Township    

Clark   

Cliffside  Park  

Clifton    

Clinton  Township    

Collingswood  

Cranford  Township  

Delran  Township   

Denville  Tow  nship    

Deplford  Township  

Dover   

Dover  Township  

Dumont    

East  Brunswick  Township  

East  Orange  

East  Windsor  Township  

Eatontown    

Edison  

Egg  Harbor  Township  

Elizabeth  


12,230 
19,455 
22,344 
15,682 
12,136 

19,705 
99,240 
22,071 
11,749 
79,356 

26,528 
25,647 
11,205 


17,103 
16,863 
38,132 
12,282 

61,681 
34,345 
12,651 
24,552 
12,026 

37,463 
17,265 
45,234 
10,930 
66,729 

19,015 
32,634 
11.397 
12,502 
87,829 

19,098 
12,099 
69,615 
14,639 
14,685 

20,471 
72,018 
10,857 
15,348 
22,720 

13,228 
13,865 
24,230 
15,173 
76,665 

17,253 
43,716 
73,835 
22,439 
13.853 

89,022 
24.638 
110.426 


794 

484 

1.144 

1.187 

756 

555 

7.013 

306 

443 

2.762 

1.217 

1,578 

451 


684 

1,459 

14.453 

306 

2.208 

1.935 

330 

608 

139 

780 
259 

2,345 
275 

2,057 

1,690 

922 

682 

650 

14,263 

572 
462 
4,228 
476 
371 

432 
3,456 
206 
841 
645 

456 
320 

1,839 
536 

3,866 

341 
1,710 
7,675 

546 
1,017 

3,302 

1,769 

11.489 


802 

485 

1,157 

1,208 

761 

566 

7,059 

306 

445 

2,792 

1,223 

1,584 

455 


691 

1.461 

14.549 

307 

2.213 

1,940 

330 

608 

139 

790 
261 

2,347 
279 

2,060 

1,706 

937 

688 

656 

14,676 

572 
477 
4,244 
481 
371 

432 
3,465 
207 
852 
646 

456 
320 

1,856 
536 

3,921 

341 
1,723 
7,759 

548 
1,018 

3,329 

1,785 

11,518 


35 


6 
1 
4 

25 

3 

3 

9 

100 

8 
1 

4 
5 


5 

107 

5 


5 
2 
7 
5 
3 

3 
165 


10 

114 

636 

I 

92 
84 
11 
10 


2 
84 

2 
13 

91 

6 

6 

12 

1,960 

22 

7 

84 

12 

2 

4 
100 


22 


10 

1 
32 
II 

44 

3 

20 

1,100 

4 

14 

52 

29 

1,072 


30 
138 
673 

20 

225 

125 

17 

30 

2 

20 
13 
64 
12 
53 

280 
19 
49 

44 
1,109 

23 
59 

73 
12 

5 

15 
93 

7 
13 

6 

22 
29 
68 
26 
94 

11 

47 

756 

12 

32 

96 

96 

513 


176 
134 
132 
244 
90 

133 

2,040 

79 

55 

434 

189 
160 
'65 


140 

214 

1,737 

56 

531 
291 

10 
112 

12 

217 
58 

404 
58 

379 

371 
158 
142 
126 
3,176 

128 
115 
636 
137 
35 

91 
575 

59 
139 

89 

76 
10 

260 
94 

833 

59 

232 

1,537 

80 

104 

544 
393 

2,255 


548 
295 
880 
828 
618 

373 

4,306 

206 

352 

1,966 

947 

1,030 

349 


443 

850 

10,754 

216 

1.061 
879 
260 
393 
117 

506 
149 

1,107 
198 

1,479 

840 
645 
444 
408 
4,363 

325 
249 
2,669 
233 
267 

244 
1,988 
129 
503 
478 

275 
262 

1,219 
346 

2,690 

254 

1,232 

1,873 

393 

800 

2,058 
1,106 
4,433 


60 
44 
34 

55 
32 

42 
427 

1« 

7 

286 

52 

321 

28 


49 

126 

556 

9 

291 

551 

28 

63 


22 
35 

678 
4 

128 

83 
91 

38 

51 
3,520 

66 
31 
760 
77 
62 

71 

691 

9 

163 

62 

67 
17 

260 
58 

191 

14 

174 

2,29J 

52 

58 

545 

114 

3,147 


134 


Table  8. — Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1991 — Continued 


City  by  State 


Population 


Cnme 
Index 
total 


Modified' 
Cnme 
Index 
total 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robtjcry 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


NEW  JERSEY— Continued 

Elmwood  Park   

Englewood    

Evesham  Township  

Ewing  Township  

Fair  Lawn  

Fairview  

Rorence  Township   

Fort  Lee    

Franklin  Township  (Gloucester  County) 
Franklin  Township  (Sotnersel  County) 

Freehold  

Freehold  Township   

jalloway  Township    

jarfield   

jjassboro    

jlen  Rock    

Gloucester  City   

jloucester  Township   

-lackensack    

Haddonfield  

Haddon  Township  

Hamilton  Township  (Atlantic  County) 

Hamilton  Township  (Mercer  County) 

Hammonton    

Hanover  Township    

Harrison    

Hasbrouck  Heights    

Hawlhome   

Hazlet  Township    

Highland  Park    

Hillsborough  Township  

Hillside  Township    

Hoboken    

Holmdel  Township   

Hopatcong    

Hopewell  Township    

Howell  Township   

Irvington    

Jackson  Township   

Jefferson  Township  

Jersey  City   

Keansburg  

Kearny    

Lacey  Township   

Lakewood   

Lawrence  Township    

Lincoln  Park  

Linden    

Lindenwold    

Little  Egg  Harbor  Township   

Little  Falls  Township  

Little  Ferry    

Livingston  

Lodi   

Long  Branch   

Lower  Township  

Lyndhurst  Township 


17,691 
24,945 

35,445 
34,316 
30,665 
10,774 
10,305 

32,120 
14,537 
42,945 
10,783 
24,805 

23,420 
26,830 
15,674 
10,925 
12,697 

54,004 
37,192 
11,672 
14,894 
16.073 

86,887 
12.255 
11.582 
13.476 
11,532 

17,149 
22,060 
13.330 
28,919 
21,125 

33,525 
11,576 
1 5,646 
11,634 
39,137 

61,253 
33,361 
17,893 
229.419 
11.111 

35,008 
22.226 
45,221 
25,886 
11,020 

36,842 
18,806 
13.384 
11.337 
10.027 

26.711 
22.441 
28,768 
20,900 
18,332 


850 
1,392 

861 
2,234 
684 
348 
283 

1.098 
406 

1.863 
687 
719 

984 
603 
1.133 
170 
420 

2,442 

2,450 

391 

735 

1.039 

2,894 
503 
204 

377 
444 

454 
468 
398 
616 
1,818 

2.830 
349 
472 
139 

1.090 

7.820 
1.441 

355 
21,108 

448 

2,034 

618 

2,709 

2,327 

249 

2,690 

1.112 

472 

951 

326 

1.144 
834 

2.721 
806 
889 


856 
1.395 

871 
2.239 
685 
349 
287 

1.099 
413 

1.875 
689 
719 

989 
609 
1,139 
170 
420 

2,459 

2,452 

399 

745 

1,057 

2.910 
508 
204 
377 
444 

457 
470 
399 
621 
1,820 

2,844 
350 
473 
143 

1,098 

7,855 
1,447 

360 
21,177 

456 

2,041 

623 

2.732 

2.334 

250 

2.704 

1.119 

472 

957 

328 

1,146 
835 

2,744 
815 
890 


58 


41 

45 

6 

10 
II 

33 

3 

15 

54 

55 

2 

16 

27 

82 
4 
1 

9 
1 

14 

7 

3 

2 

122 

98 

2 


1 
14 

723 

5 

2 

2.576 

3 

49 

2 
105 

33 
3 

130 

26 

1 

6 
II 

II 
11 

135 
12 

7 


19 
80 

21 
51 
21 
5 
23 

43 
37 
40 
50 
10 

21 
16 
58 
3 
14 

103 
57 
10 
13 
60 

45 
21 

5 
15 

4 


51 
14 

7 
67 

245 
10 
19 


42 

598 

22 

17 

1,917 

69 

107 
9 

123 
40 
13 

122 

62 

29 

33 

4 

10 
12 
227 
23 
22 


94 
406 

224 

365 

91 

82 

65 

233 
117 
373 
120 
80 

219 
85 

227 
56 

109 

388 
253 
42 
123 
213 

592 
84 
25 
30 
73 

65 
76 

52 
122 
350 

571 
53 
88 
58 

172 

1,720 

149 

90 

4,610 

73 

279 

84 

569 

295 

35 

483 
240 
116 
162 
41 

77 
108 
773 
177 
104 


583 
628 

536 
1.351 
479 
177 
181 

633 
208 
1.185 
436 
552 

665 
340 
754 
102 
231 

1,621 

1,700 

326 

521 

658 

1,685 
362 
155 
139 
303 

310 
307 
313 
464 

672 

1.199 

277 

331 

70 

807 

2.054 
1.230 

226 
6,494 

288 

1,209 

503 

1,681 

1,335 

178 

1,255 
592 
309 
610 
212 

867 

529 

1,421 

560 

572 


140 
178 

59 
415 
75 
78 
11 

150 
35 

222 
30 
70 

59 

150 

46 

6 

43 

244 

375 

10 

60 

69 

483 
30 
18 

184 
63 

57 
26 
16 
20 
596 

714 

7 

30 

10 

52 

2,649 
35 
19 

5,392 
13 

388 

19 

208 

618 

17 

694 

1S2 

16 

140 

57 

178 
173 
142 
22 
181 


135 


Table  8. — Number  of  Offenses  Known  to  tbe  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1991 — Continued 


City  by  State 


Population 


Cnmc 
Index 
total 


Modified* 
Cnme 
Index 
total 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


NEW  JERSEY— Continued 

Madison  

Mahwah  Township    

Manalapan  Township  

Manchester  Township   

Mantua  Township    

Manvtlie    

Maple  Shade  Township    

Maplew'ood  Township   

Marlboro   

Medford  Township    

Metuchen    

Middlesex   

Middle  Township  

MiddletowTi  Township  

Millbum  Township   

Millville   

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

Montclair    

Montville  Township    

Mooreslown  Township    

Momstown    

Morris  Township    

Mount  Holly  

Mount  Laurel  Township    

Mount  Olive  Township    

Neptune  Township    

Newark  

New  Brunswick   

New  Milford  

New  Providence   

North  Arlington    

North  Bergen  Township  

North  Brunswick  Township   

North  Hanover  Township  

North  Plainfield    

Nutley  

Oakland    

Ocean  City  

Ocean  Township  

Old  Bridge   

Orange    

Palisades  Park    

Paramus  

Parsippany-Troy  Hills  Township  

Passaic   

Paterson  

Pemberton  Township  

Pennsauken    

Pennsville  Township  

Pequannock  Township    

Perth  Amboy    

Phillipsburg    

Piscataway  Township  

Plainfield  

Plainsboro  Tow-nship   

Pleasantville  


15,911 
17,974 
26,819 
36,114 
10,112 

10,607 
19,285 
21,735 
28,081 
20,605 

12,853 
13,105 
14,828 
68,446 
18,701 

26,092 
26,806 
22,340 
37.874 
15,660 

16,178 
16.251 
20,029 
10,680 
30,386 

21.364 
28.256 
276.510 
41.872 
16.051 

11,483 
13,843 
48,600 
31,407 
10.032 

18.892 
27.203 
12.043 
15.571 
25,154 

56,692 

30,040 
14,592 
25,163 
48,665 

58,265 
141,434 
31,462 
34,872 
13,847 

12,893 
42.128 
15.817 
47,270 
46.746 

14.267 
16.088 


330 
556 
482 
440 
304 

261 
804 
1.037 
619 
489 

473 
436 
810 
1.359 
735 

1,602 
1,067 

329 
2,276 

454 

619 

1,452 
422 
797 

747 

470 

2,090 

40,940 

4.447 

420 

158 

426 

2.915 

1.586 

45 

1.483 

943 

182 

1.862 

1.322 

1.681 
3.160 
349 
4.184 
1.758 

4,058 

10,810 

1.099 

2.409 

435 

335 
2.916 

387 
1.911 
3.769 

466 
1.428 


330 
558 
487 
466 
306 

262 
811 
1.041 
624 
494 

475 
439 
813 
1.368 
737 

1.606 
1.077 

335 
2.281 

455 

623 
1.460 
423 
806 
748 

473 

2,096 

41,156 

4,456 

423 

159 

426 

2.917 

1.591 

45 

1.490 

960 

182 

1.863 

1.330 

1.698 
3.192 
349 
4.210 
1,774 

4,066 

10,854 

1,121 

2,421 

439 

344 
2,944 

389 
1,921 
3,792 

468 
1,443 


13 
244 

24 
3 

1 

1 

II 

1 


10 

9 
14 

6 
15 

70 
29 

2 
76 

1 

17 
93 
1 
38 
13 

4 

66 

5,201 

283 

3 

3 

7 

88 

35 


7 
21 

9 
327 

4 
35 
19 

435 

1,051 

25 

120 

1 

2 
139 

3 

37 

386 


66 


4 
10 
36 

17 
10 

10 
40 
45 
28 
27 

7 
10 
28 
33 
10 

130 
45 
33 

100 


31 
98 

17 
110 

24 

34 

96 

3,869 

167 

16 

1 

13 

108 

40 

2 

45 

60 

9 

40 

22 

91 

241 

4 

62 

53 

315 

1,232 

173 

55 

5 


176 

26 

151 

145 

12 
143 


54 
94 
83 
85 
56 

27 
179 
190 
106 

76 

91 

46 
'l57 
259 

83 

378 
254 

87 
426 

78 

74 
227 

65 
121 
141 

137 

535 

6,180 

889 

66 

15 

55 

816 

320 

11 

267 
207 
38 
423 
268 

325 
607 
132 
198 
410 

747 

2,438 

268 

775 

46 

64 
646 

78 
361 
975 

74 
460 


251 
419 
337 
310 

217 

207 
391 
544 
454 
359 

329 
347 
557 
991 
562 

953 
650 
196 
1,346 
321 

416 
927 
297 
452 
495 

265 

1,256 

11,397 

2,573 

303 

116 

272 

1,129 

1,040 

29 

947 
491 
131 
1,342 
935 

1,093 

841 

136 

3,031 

1.116 

1,513 

4,053 

528 

692 

372 

242 
1.586 

237 
1.234 
1.702 

330 
618 


18 
30 
20 
14 
12 

12 
171 
210 

21 

22 

36 

21 
43 
62 
63 

61 
85 
11 
316 
51 

81 
96 

42 
55 
67 

22 

124 

13,961 

507 

29 

22 
77  . 
758 
149 

3  . 

167 
160 

4  . 
41 
65 

157 

1.122 

72  . 

851 

143 

1,009 

1,949 

91 

749 

10 

16 
336 

42 
119 
532 

43 
129 


136 


Table  8. — Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1991 — Continued 


City  by  Stale 


Population 


Cnmc 
Index 
total 


Modified* 
Cnme 
Index 
total 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Aggra- 
vated 
assault 


Burglary 


Larcenv- 
theft 


Motor 
vehicle 
theft 


I  NEW  JERSEY— Continued 

Point  Pleasant    

Pompton  Lakes   

Princeton  

Princeton  Township    

Rahway 

Ramsey  

Randolph  Township   

Raritan  Township    

Readington  Township    

Red  Bank    

Ridgefield   

Ridgefield  Park   

Ridgewood   

Ringwood   

River  Edge  

Rockaway  Township  

Roselle    

Rosellc  Park    

Roxbury  Township    

Rutherford    

Saddle  Brook  Township  

Sayreville  

Scotch  Plains  Township  

Secaucus    

Somers  Point    

Somerville  

South  Brunswick  Township   

South  Orange    

South  Plainfield    

South  Rtver 

Sparta  Township  

Springfield    

Stafford  Township  

Summit    

Teaneck  Township  

Tenafly   

Tinton  Falls  

Totowa  

Trenton    

Union  City    

Union  Township  

Ventnor  City  

Vernon  Township    

Verona    

Vineland    

Voorhees  Township  

Wallington    

Wall  Township    

Warren  Township    

Washington  Township  (Gloucester 

County)    

Washington  Township  (Morris  County) 

Waterford  Township  

Wayne  Township    

Weehawken  Township  

West  Caldwell    

West  Deptford  Township    


18.247 
10.579 
12,062 

13.248 
25.422 
13.279 
20.051 
15,676 

13.451 
10.677 
10.034 
12.502 
24.245 

12.671 
10.643 
19.647 
20.392 
12.854 

20.507 
17.858 
13.347 
35.121 
21.241 

14.115 
11.259 
11.676 
25.891 
16.453 

20,568 

I  3.744 
15.215 
13.471 
13,376 

19.833 
37,971 
13.377 
12.408 
10,216 

89,017 
58,235 
50,217 
11,047 
21,292 

13,649 
54,991 
24,653 
10,869 
20,322 

10,871 

42.121 
15.652 
10.982 
47,206 

12.432 
10,462 
19,454 


621 

274 
719 

300 
1.229 
463 
431 
441 

226 
587 
190 
268 
293 

209 

274 

1.160 

1.082 

492 

542 

535 

596 

1.317 

570 

1.261 
521 
642 
691 

1.226 

1.047 
440 
239 
357 
456 

581 
1.607 
198 
395 
737 

9.670 

3.855 

3.195 

698 

704 

348 

4.671 

1.427 

358 

426 

219 

1.377 
226 
289 

3.364 

1.103 
262 
580 


622 
276 
722 

301 
1.230 
463 
432 
444 

229 
590 
192 
269 
296 

209 

278 

1.166 

1.087 

493 

543 
536 
599 
1.330 
571 

1.262 
527 
650 
697 

1.235 


1.053 
441 
239 
357 
461 

582 
1.623 
198 
397 
741 

9.683 

3.870 

3.202 

699 

708 

349 

4.703 

1.432 

360 

428 

224 

1,377 
228 
293 

3,368 

1,104 
262 
580 


111 
10 

5 
1 


693 

307 

152 

13 

1 

5 

234 

26 

9 

6 


5 
83 

2 

II 
15 

1,022 

134 

50 

32 

21 

24 

318 

32 

1 

10 

1 

41 

5 

13 

100 

47 
5 
9 


138 

50 

120 

56 

250 

65 

56 

107 

37 
69 
30 
30 
86 

64 
54 
95 
259 
94 

90 

77 

79 

241 

103 

50 
123 

90 
131 
238 

105 
71 
60 
35 

112 

117 
328 
58 
99 
68 

1.904 

1.075 

494 

176 

97 

62 

1.031 

176 

53 
113 

54 

342 
58 
78 

267 

217 
31 
69 


457 
201 
564 

207 
676 
345 
338 
303 

166 
458 
109 
171 
182 

136 
193 
958 
496 
270 

387 
336 
406 
799 
392 

918 
336 
466 
489 
560 

811 
289 
158 
215 
295 

393 
986 

123 
258 
507 

3.227 

1.413 

1,550 

465 

569 

219 

2,666 

959 

213 

277 

153 

865 

153 

159 

2.360 

581 
209 
428 


II 
II 

17 

26 
196 
35 
24 
16 

12 
21 
37 
46 
12 


12 

81 

241 

91 

37 
104 

93 
184 

46 

249 
30 
57 
48 

330 

89 
24 
9 
97 
20 

55 

172 

10 

21 

139 

!.706 

910 

942 

10 

16 

37 

382 

230 

82 

19 


94  , 
9 
30 
600 

230 
15  , 
66  . 


137 


Table  8. — Number  of  Offenses  Koonn  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population.  1991 — Continued 


City  by  Sute 


Population 


Cnme 
Index 
total 


Modified* 
Crime 
Index 
tota] 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


NEW  JERSEY— Continoed 

Westfield  

West  Milford  Township  

West  New  York   

West  Orange  

W'est  Paterson    

West  Windsor  Township  

Westwood   

Willingboro  Township  

Winslow  Township    

Woodbndge  Township    

Woodbury   

Wyckoff   

NEW  MEXICO 

Alamogordo  

.Albuquerque    

Artesia    

Deming    

Farmington    

Gallup  

Hobbs   

Las  Cruces  

Portales    

Rio  Rancho  

Silver  City   

NEW  YORK 

.Albany    

.Amherst  Town  

Amsterdam  

Auburn  

Batavia  

Beacon    

Bethlehem  Town  

Binghamton   

Blooming  Grove  Town  

Bnghton  Town    

Buffalo    

Camillus  Town  and  Village  

Canandaigua   

Carmel  Town   

Cheektowaga  Town  

Cicero  Town   

Clay  Town   

Cohoes   

Colonie  Town    

Coming    

Cortland  

Cortlandt  Town  

Depew  Village   

Dewitt  Town    

Dunkirk   

East  Aurora-Aurora  Town  

Eastchester  Town   

East  Fishkill  Town    

Eait  Greenbush  Town  


28.981 

25,528 

38,272 
39,253 
11,024 
16,082 
10,486 

36,431 
30.203 
93.445 
10,946 
15,431 


28,195 

393,148 

10,840 

11,208 

34,736 
19,570 

29,747 
63,476 
10,922 

33,211 
10,915 


101,461 

106,525 

20,791 

31,375 

16.371 
13,292 
27,655 
53,206 
11,811 

34,584 

329,353 

23,713 

10,765 

28,924 

93,866 

23,712 
54,525 
16,888 
72,431 

11,982 
19,875 
28,475 
17,739 
21,886 

14,041 
13.483 
18.606 
22,183 
14,128 


845 
621 

2.464 

1.661 

587 

525 

310 

1.543 

1.193 

5.776 

624 

212 


1,533 

40,433 

588 

827 

3,369 
2,631 

2.452 

6,223 

481 

1,032 
825 


7.570 

3,646 

447 

1.318 

802 
516 
585 
2.589 
214 

1.307 

31.470 

434 

511 

554 

4.556 
310 
593 
573 

3.308 

769 

1.152 
402 
774 

1.182 

823 
289 

414 
444 
374 


849 
629 

2.490 

1.667 

587 

530 

311 

1.551 

1.213 

5,829 

625 

212 


1,540 

40,628 

589 

832 

3.378 
2.636 

6.248 
486 

1,033 
828 


7.631 

3.667 

448 

1.321 

803 
517 
590 


218 


32.146 
434 
513 
558 

4.590 
310 


3.319 
769 
405 

1.192 

836 
290 
414 
445 
382 


50 


261 
2 
6 

40 

25 

23 

38 

1 

4 
5 


319 
1 

4 
1 

12 


10 


10 

2 

132 

69 

15 

4 


7 
1,307 

2 

7 

37 
46 

37 

76 

1 


487 
69 

1 
17 

6 
17 

7 
34 

1 

15 

2,705 
1 
5 
1 

89 
3 
1 
3 

39 

2 
8 
3 
8 
16 

11 

1 
9 

3 


6 

22 

170 

42 

10 

5 

17 

69 
103 
209 

35 
6 


72 

3,972 

42 

48 

225 
194 
313 
424 
11 

119 
59 


632 

212 

8 

31 

4 
113 
45 
29 

6 

3 
2,968 

4 
11 
10 

296 

32 

6 

156 
20 

48 

9 

30 

58 

9 

17 
16 
14 
19 
29 


140 
120 

612 

340 

114 

82 

52 

323 
296 
701 
136 

•  37 


309 

10,348 

92 

272 

475 
362 
615 
1,532 
164 

223 
144 


1.988 
436 
153 
168 

101 
168 
146 
287 
82 

192 

8,462 

51 

68 

112 

678 
43 
95 

110 

427 

109 
180 
88 
95 
167 

211 
49 
53 

136 
51 


635 
445 

1,029 
884 

322 
324 
224 

949 

621 

3,615 

381 

162 


1,097 

22,024 

438 

462 

2.433 
1,851 
1,403 
3,795 
288 

647 
592 


3,878 

2,621 

274 

1,091 

684 
183 
375 
2,141 
113 

1,029 

12.527 

373 

409 

406 

2,808 
226 
484 

277 
2,714 

580 
917 
270 
570 
948 

579 
208 
282 
264 

273 


52 
27 

519 
315 
124 
109 
13 

147 

135 

1,164 

44 

6 


46 

2,470 
12 
32 

155 
151 

59 
354 

15 

28 
23 


502 

296 

9 

4 

4 
34 
10 
67 
10 

68 

4,439 

4 

13 

24 

672 

6 

7 

24 

101 

30 
27 
11 
42 
'39 

3 

15 
56 
20 
13 


138 


Fable  8.— Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1991 — Continued 


Cit>  b>  Slate 


NEW  YORK— Continued 

^st  Hampton  Town    

ilmira  '. 

indicott  Village    

;van5  Town    

'ishkill  Town  

Horal  Park  Village    

•redonia  Village  

•reeport  Village    

"ulton  

jarden  City  Village  

Jates  Town  

jeddes  Town   

jeneva  

ilen  Cove   

liens  Falls  

jlenville  Town   

iloversville   

loshen  

ireece  Town    

Jreenburgh  Town   

juilderland  Town  

lamburg  Town   

lamburg  Village  

larrison  Town    

laverstraw  Town  

lempstead  Village  

fyde  Park  Town   

rondequoit  Town    

ihaca    

amestowTi    

ohnson  City  Village   

ienmore  Village  

^ckawanna  

^ncaster  Town  

^ncaster  Village    

ockport    

ong  Beach   

ynbrook  Village    

lamaroneck  Town   

lamaroneck  Village  

lanlius  Town    

-lassena  Village    

liddletown   

tount  Pleasant  Town  

lount  Vernon  

■ewburgh   

Jewburgh  Town   

lew  Castle  Town    

lew  Hartford  Town  and  Village   .. 
lew  Paltz  Town  and  Village   

lew  Rochelle  

lew  Windsor  Town  

lew  York  

liskayuna  Town  

lorth  Castle  Town  

lorth  Greenbush  Town  

lorth  Tonawanda    


Population 


14.042 
33.850 
13.581 
15.304 
15.756 

16.006 
10.475 
40.043 
12.977 
21,767 

28.690 
11.001 
14.196 
24,239 
15.079 


Cnme 
Index 
toial 


685 
2,303 

761 
477 
304 

295 
267 
2,059 
803 
556 

1.266 
379 
292 
585 

1.052 


Modified" 
Cnme 
Index 
toul 


21.492 

356 

16.718 

912 

11.543 

90.443 

2.458 

40.731 

2,073 

27.347 

415 

40.544 

1.823 

10,481 

296 

23.395 

607 

23,361 

606 

49.638 

2.747 

21.309 

726 

52.573 

3.204 

29.651 

2.178 

34,811 

1.934 

16.953 

1.304 

17.244 

485 

20.662 

1.085 

14,001 

380 

11.984 

244 

24.517 

1.561 

33.635 

1.069 

19.280 

464 

11.449 

282 

17,389 

632 

30,770 

823 

11,762 

245 

24.250 

1.310 

25.147 

414 

67.404 

4.944 

26.553 

2.128 

24.148 

1.557 

16.710 

188 

19.791 

1.064 

11.430 

358 

67.517 

2.236 

23,023 

760 

7,350,023 

678.855 

19.119 

846 

10,098 

229 

10.931 

234 

35.120 

961 

764 
480 


298 

268 

2.073 

810 

557 


380 

292 

589 

1.055 


919 


2.468 
2.086 


418 


2.757 


3.206 
2.182 


1.092 
382 


1.574 

465 
284 
632 


245 


1.568 
189 

1.064 
362 

2.244 

684.054 
846 
229 

235 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


2.154 
I 


9 

2.892 


13 


151 
3 
15 

31 
6 
6 

20 

2 


30 
69 

8 
9 
4 
9 
S 

271 

2 

71 

29 

24 

9 
12 
36 


23 
57 
14 
7 
16 

4 

2 

28 

5 

446 

220 
20 


Aggra- 
vated 
assault 


6 
4 

185 

6 

98.512 

12 

I 

1 
12 


69 
46 
63 
21 

3 

14 

205 

13 

4 

7 

2 

6 

33 

258 


Burglary 


246 

389 

107 

96 

39 

58 

34 

246 

137 

81 

219 

55 

50 

110 

103 


Larceny- 
Uieft 


18 

78 

17 

180 

27 

341 

72 

307 

19 

70 

164 

258 

28 

59 

7 

115 

73 

123 

434 

422 

57 

58 

19 

318 

32 

451 

24 

395 

66 

153 

50 

77 

239 

183 

19 

66 

16 

66 

209 

310 

67 

186 

16 

61 

6 

44 

16 

107 

4 

88 

9 

91 

61 

269 

4 

68 

473 

1.042 

290 

717 

9 

196 

6 

21 

32 

95 

55 

32 

105 

506 

97 

138 

66.832 

112.015 

42 

102 

8 

47 

26 

59 

11 

180 

401 

1.749 

594 

303 

227 

182 

203 

1.138 

633 


Motor 
vehicle 
Uieft 


27 
47 
12 
8 
16 

38 

15 

304 

16 


896 

34 

109 

307 

9 

228 

1 

333 

87 

666 

16 

239 

17 

683 

20 

1,868 

180 

1,305 

314 

302 

13 

1,213 

171 

193 

12 

409 

65 

365 

35 

1.131 

455 

598 

9 

2.558 

233 

1.587 

58 

1,447 

34 

936 

131 

313 

33 

465 

156 

264 

28 

146 

11 

921 

77 

589 

161 

290 

82 

163 

62 

385 

107 

710 

15 

135 

8 

942 

289 

47 

1,709 

1.249 

790 

67 

1.266 

65 

140 

19 

919 

12 

245 

17 

956 

473 

478 

32 

256,473 

139.977 

679 

8 

162 

11 

139 

8 

710 

41 

139 


Table  8. — Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1991 — Continued 


Cily  by  Slale 


Population 


Crime 
Index 
tolal 


Modified* 
Crime 
Index 
total 


Murder 
and  non- 
negligenl 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


NEW  YORK— Continued 

Ogden  Town   

Ogdensburg    

Olean  

Oneida    

Oneonta  

Orangetown  Town   

Orchard  Park  Town   

Ossining  Village    

Oswego  

Peekskill  

Plattsburgh   

Port  Chester  Village  

Port  Washington  Village    

Potsdam  Village    

Poughkeepsie  

Poughkeepsie  Town    

Ramapo  Town  

Riverhead  Town  

Rochester    

Rockville  Centre  Village    

Rome  

Rotterdam  Town    

Rye  

Saratoga  Springs   

Schenectady   

Shawangunk  Town    

Southampton  Town  

Southold  Town    

Spring  Valley  Village   

Stony  Point  Town  

Suffein  Village  

Syracuse  

Tarrytown  Village    

Tonawanda  

Tonawanda  Town    

Troy  

Utica   

Vestal  Town    

Warwick  Town    

West  Seneca  Town    

White  Plains  

Yonkers   

Yorktown  Town    

NORTH  CAROLINA 

Albemarle 

AsheviUe    

Boone    

Burlington  

Carrboro    

Cary  

Chapel  Hill    

Charlotte    

Concord   

Durham   

Eden    

Elizabeth  City    


16,975 
13,571 
1 7,009 

10,890 
14.006 
34,965 
24,724 
22,666 

19,266 
19,609 
21,334 
24.820 
14,831 

10,289 
28,952 
39,429 
63,333 
23,097 

232,504 
24,819 
44,516 
28,501 
14,992 

25.094 
65,811 
10,118 
37,263 
17,832 

21,883 
12,862 
11,096 
164,474 
10,779 

17,348 
65,528 
54.472 
68.894 
26.833 

15.562 
48,009 
48,900 
188,787 
33,592 


15,183 
62,614 
13,126 
40,143 

11,741 
44,575 
39.352 
402,618 
27,794 

138,844 
15,487 
14,525 


394 

534 
820 

623 
409 
1,098 
880 
632 

801 
854 
842 
1,284 
497 

525 
2,273 
2,264 
1,229 
1,241 

26,030 

872 

1,223 

976 

350 

1,904 

3,816 

34 

2,132 

456 

1,201 

183 

342 

12,707 

365 

530 
2,014 
2,567 
4,002 

385 

191 

1,595 

3,248 

10,927 

847 


1,351 

6.642 

629 

2.651 

968 

1.772 

2.683 

50.902 

1.736 

14.181 
1.007 
1.255 


546 

824 

627 

410 

1.106 

638 


862 

1,286 

500 

530 
2,287 
2,269 
1,246 


26,345 

1,240 
980 
350 

1,928 

34 

2,141 

456 

1,210 

183 

343 

12,841 

367 


2,029 
2,600 

386 

191 

1,608 

3.250 

11.041 

853 


1.361 

6.652 

631 

2.656 

970 

1.785 

2.686 

51.346 

1.744 

14.251 
1.010 
1.259 


114 


13 
11 
II 

2 

166 


4 
38 

3 
11 

9 

6 

14 

409 

5 

98 
1 
9 


I 
I 

3 

2 
2 

26 
3 

37 

3 
29 

4 
47 
13 

1 

197 

22 

30 

44 

1.367 

34 

26 

4 

3 

18 
154 


32 


80 


9 
608 

5 

4 

33 

62 

162 


18 
117 
901 

3 


19 

213 

3 

52 

25 
32 
52 
2,899 
43 

771 
18 
36 


7 

5 

51 

12 

8 

118 

34 

20 

I 
56 
90 
66 
II 

21 
158 
69 
60 
165 

812 

24 

28 

6 


280 

345 

6 

227 
1 

57 

1 

12 

852 

4 

43 

143 

39 

54 

2 

4 
105 
114 
360 


107 

253 

28 

251 

61 

49 

210 

5,340 

97 

715 

72 

201 


68 

73 

73 

102 
76 
224 
148 
159 

147 
189 
141 
,171 
78 

67 
572 
292 
223 
429 

5,980 

135 

264 

129 

58 

312 

1,083 

9 

491 

132 

187 

52 

61 

3,328 

62 

76 
470 
772 
949 

71 

49 

252 

231 

2,115 

110 


293 

1.756 

103 

416 

262 
405 
588 
11,615 
426 

5,007 
191 
239 


315 
452 
678 

486 
304 
670 
633 
369 

621 

444 
581 
857 
349 

418 

1,217 

1,811 

855 

S86 

15,644 
587 
839 
791 
256 

1,241 

1,981 

15 

1,276 

322 

766 
126 
224 
7,108 
249 

382 
1,278 
1,567 
2,525 

289 

117 
1.016 
2,520 
4,992 

686 


863 
3,976 

475 
1.804 

572 

1.188 

1.718 

27.799 

1.099 

6,802 
683 

722 


2 

3 

15 

20 
19 
58 
61 
43 

29 
127 

19 
134 

42 

18 
110 
59 
48 
15 

1.997 
90 
58 
46 
33 

45 

219 

4 

98 

1 

98 

4 

33 

712 

44 

23 
86 
107 

270 

22 

21 

201 

263 

2.502 

36 


65 
393 

16 
115 

38 
92 
-99 
2.726 
64 

758 
41 
44 


140 


"able  8. — Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1991 — Continued 


Cily  by  Slale 


Population 


Cnme 
Index 
total 


Modified* 
Crime 
Index 
total 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


NORTH  CAROLINA— Continued 


ayelteville 
iamer    . . . .' 


lastonia  . . 
loldsboro  . 
ireensboro 
lavelock  .. 
ienderson 


ickory    

igh  Poinl   . 
icksonville 
annapolis  . 
emersville 


inston    ... 

snoir  

ixington    . 
jmberton 

latthews  .. 


onroe  

organlon 
ew  Bern   . 

aleigh   

eidsville    . 


oanoke  Rapids 
ocky  Mount   ... 

ilisbui7    

inford  

lelby   


arboro    

homasville  ... 
'ilmington    ... 

'ilson    

'inslon-Salem 


NORTH  DAKOTA 


ismarck   

ickinson    . . . 
rand  Forks 
iandan    


'est  Fargo 
'illislon    .. 


OHIO 


Lkron    . . 

Iliance 
mhersl 
.  shiand 


shtabula    . . 

[hens  

irbenon    . . 
iy  Village 
iavercreek 


:dford  

;dford  Heights 

;rea  

;xley  

ue  Ash  


76,932 
15.211 

55,626 
41,374 
186,521 
30,599 
15,910 

28,763 
70,632 
30,503 
30,181 
11,013 

25,708 
14,424 
16,852 
18,905 
13,874 

16,390 
15,331 
17,646 
211,350 
12,382 

15,979 
49,797 
23,464 
14,711 
14,908 

11,217 
16.175 
56.437 
37,533 
145,8.30 


48,962 
16,001 
49,130 
15,086 

12,213 
13,052 


224.907 
23,573 
10,419 
20,249 

21,816 
21,445 
27,856 
17,143 
33,910 

14,947 
12,233 
19,212 
13,198 
11,960 


10,580 
1,004 

7.146 

4,601 

16,769 

558 

1,914 

3,511 
7,253 
3,928 
1,227 
856 

2,737 
1,422 
1,891 
2,194 
512 

2,212 

1,126 

2,492 

16,464 

947 

1,324 
5,557 
2,716 
2,503 
1,393 

830 

1,475 

7,912 

4,529 

16,615 


2,451 
520 

2,594 
682 

420 
570 


18,140 

2,201 

497 

652 

1,501 
605 

1,534 
179 
982 

530 
628 
574 
653 
576 


10,644 
1,009 

7,203 

4,630 

16,850 

560 

1,928 

3,537 
7,320 
3,934 
1,236 
861 

2,763 
1,427 
1,916 
2,211 
512 

2,215 

1,134 

2,498 

16,549 

950 

1,324 
5,577 
2,729 
2,516 
1,399 

831 

1,480 

7,971 

4,550 

16,856 


2,453 
522 


682 


570 


18,383 

2.231 

498 

652 

1,533 
607 

1,552 
182 

1,001 

532 
633 
582 
654 

577 


72 
4 

19 

24 

114 


7 
2 

10 
120 

7 


41 

17 

148 


223 

12 

3 

4 

16 
4 
16 


523 

25 

254 

196 

594 

3 

40 

133 

231 

117 

36 

14 

114 
38 
46 
46 
12 

43 
17 
74 
652 
20 

16 
194 
97 
66 
41 

18 

22 

281 

187 

951 


995 

65 

13 

1 

21 

2 

34 

2 
6 

11 
16 
9 

27 
5 


895 
40 

613 

477 

1,056 

39 

138 

169 

593 

304 

61 

38 

340 
103 
166 

127 
24 

286 

47 
225 
964 

89 

29 
377 
111 
268 

96 

96 

68 

396 

346 

1,257 


,568 

299 

5 


33 

15 

137 


2,623 
159 

1,883 

1,094 

3,379 

186 

601 

927 
2,094 
763 
314 
220 

625 
272 
532 
515 
127 

623 
221 
637 
3,934 
255 

225 
1,505 
710 
612 
356 

125 

426 

2,081 

1,357 

4,822 


287 
61 

211 
39 

89 
50 


3,984 

352 

39 

75 

470 
69 

221 

43 

203 

55 
129 
119 
129 
125 


5,769 
738 

4,106 

2,527 

10,768 

308 

1,021 

2,114 

4,011 

2,556 

730 

522 

1,499 

941 

1,048 

1,381 

341 

1,182 

797 

1,420 

9,881 

546 

1,002 
3,234 
1,675 
1,472 
818 

565 
899 

4,705 
2,390 
8,498 


2,033 
435 

2,174 
618 

291 
492 


9.565 

1,338 

423 

543 

864 
491 
1.024 
120 
716 

324 
289 
376 
428 
413 


675 
37 

263 
271 
823 
21 
106 

150 

287 

150 

79 

58 

132 
56 
80 

114 


71 

41 

122 

888 

30 

52 

212 

114 

74 

69 

25 

59 

402 

217 

916 


97 

13 

151 


1,765 

134 

14 

29 

96 

23 

102 

12 

38 

120 

142 

59 

56 

22 


141 


Table  8. — Nuinl>er  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1991 — Continued 


City  by  Stale 

Population 

Crime 
Index 
lolal 

Modified* 
Crime 
Index 
total 

Murder 
and  non- 
negligent 

man- 
slaughter 

Forcible 
rape 

Robbery 

Aggra- 
vated 
assault 

Burglary 

Larceny- 
Iheft 

Motor 
vehicle 
theft 

Arson* 

OHIO— Continued 

Boardman  Township    

42,150 
11,918 
12,322 
23,058 
13,610 

11,847 
84,873 
21,260 
22,108 
367,123 

509,898 
54,509 

638,533 
13,353 
11,224 

49,364 
183,585 
16,910 
20,199 
30,506 

11,424 
16,504 
33,376 
21,340 
57,226 

11,528 
55,339 
31,565 
40,065 
18,180 

18,766 
11,119 
17,797 
28,026 
32,007 

11,399 
12,804 
12,971 
19,827 
61,887 

11,895 
39,023 
32,342 
29,079 
61,082 

60,223 
10,541 
1  3,260 
45,844 
71,848 

10,073 
16,1 17 
18,106 

20,779 
51,055 

27,318 

2,267 
125 
195 
956 
762 

956 

6,607 

718 

1,662 

35,693 

45,610 
1,476 

64,778 
366 
521 

2,038 

21,602 

844 

942 

634 

517 
681 

2,779 
693 

3,579 

513 
3,237 
1,351 
2,513 

531 

1,654 
711 
941 
857 

1,230 

284 
333 
610 
824 
5,317 

638 
1,771 
1,473 
1,317 
2,784 

1,457 

487 

660 

4,545 

2,934 

534 
264 
679 

1,241 
5,248 

1,117 

2,271 
125 
197 
960 
766 

958 

6,681 

720 

1.667 

36,372 

46,377 
1,476 

65,615 
366 
523 

2,050 

21,886 

847 

946 

636 

518 
681 

2,817 
696 

3,592 

514 
3,251 
1,362 
2,522 

532 

1,656 
712 
948 
863 

1,239 

284 
340 
612 
826 
5,363 

644 
1,782 
1,478 
1,322 
2,800 

1,464 

487 

661 

4,625 

2,953 

539 
270 
690 

1,247 
5.276 

1,122 

1 

57 
1 
3 

22 
9 

3 

470 

5 

28 

2,315 

5,132 
16 

3,747 
2 
6 

26 

1,677 

1 

10 

5 

1 
9 

-363 
6 

167 

5 
77 
16 
26 
11 

39 
5 
11 
21 
62 

7 

3 

6 

17 

200 

5 
28 
43 
27 
46 

24 

5 

40 

208 

93 

1 
2 

206 
1 
5 

14 
50 

15 

370 

8 

36 

2,947 

3,121 

401 
29 
24 
131 
189 

96 

1,783 

155 

321 

8,489 

10,151 
-111 

16,398 
49 
98 

268 

4,808 

103 

202 

67 

80 
119 
668 
115 
901 

43 
408 
220 
490 

75 

124 
166 
155 
148 

227 

75 

78 

110 

99 

1,273 

97 
231 
248 
231 
488 

178 
57 

119 
1,147 
1,028 

61 

58 

114 

191 
1,209 

227 

1,302 

84 

128 

508 

485 

818 
3,285 

515 

1,203 

19,285 

15,485 
1,080 

32,983 
285 
308 

1.525 

9.906 

704 

671 

531 

393 
501 
791 
475 
2,104 

435 
2,254 

960 
1,751 

354 

1,419 
484 
684 
644 
673 

165 
212 
464 
630 
2,608 

418 
1,354 
1,046 

911 
1,982 

1,035 

361 

348 

2,165 

1,405 

454 
184 
503 

761 
2,657 

639 

300 
10 

35 

276 
23 

15 

611 

33 

67 

2,125 

10,633 

266 

8,176 

20 

40 

113 

3,330 
14 
39 

17 

18 

27 
662 

66 
260 

20 
389 
111 
113 

87 

46 
32 
26 
30 
192 

27 
27 
19 
54 
406 

25 
108 
107 

83 
226 

189 
24 
144 
214 
240 

.13 

17 
41 

206 
201 

180 

4 

2 

Brnok   Park 

5 

5 

9 

77 
2 

7 
478 

913 
1 

650 
1 
5 

13 

316 

4 

13 

3 

1 
1 

48 
4 

32 

3 
24 

3 
21 

1 

11 
10 
8 
4 
8 

4 

Bucyrus    

1 

4 

Canton    

11 

74 
1 

Chillicothe 

5 

54 

175 

2 

138 

679 

Cleveland       

767 

Cleveland  Heiehts 

Columbus    

2,686 

9 

64 

92 

1,511 

18 

7 

11 

24 
24 

234 
25 

110 

7 

82 

38 

111 

3 

15 
13 
56 
10 
65 

10 

8 

5 

21 

756 

88 
25 

25 
52 
24 

18 

32 

7 

752 

111 

3 

837 

2 

Cuyahoga  Falls    

Dayton              

1 

54 

12 
284 

3 

4 

Delhi  Township    

■> 

1 

Dublin                                              

East  Cleveland       

13 

1 

5 

38 

Eastlake   

Elyria  

Englewood    

Euclid    

3 
13 

1 

3 
3 
1 

14 
11 

9 

1 

2 

Franklin                   

1 
1 

1 

Fremont  

7 
6 

Garfield  Heights   

3 

9 

5 

6 

3 

70 

5 

24 
3 

13 
17 

9 
8 

2 

53 
54 

2 
3 
6 

10 
50 

2 

7 

2 

7 

4 

46 

Hilliard              

6 

Huber  Heights    

1 
1 

11 

Jackson  Township    

Kent  

5 
5 

Kettering   

Lakewood   

1 
4 

16 

7 

Liberty  Township 

1 

Lima    

Lorain  

Loveland    

6 
3 

80 
19 

5 

Lyndhurst 

6 

Madison  Township  (Lake  County)    

County)   

15 

40 

971 

21 

11 

33 
159 

48 

6 

1 

28 

5 

142 


Table  8.— Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1991— 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 


Larccny- 
Ihcft 


Motor 
veliicle 
theft 


OHIO— ContiniKd 


Marion  . . 
Mason  ... 
Massillon 
Maumee  . 


MayHeld  Heights    .. 

Mentor   

Miamisburg   

Miamt  Township    .. 
Vliddleburg  Heights 


Vljddletown    

Mew  Philadelphia 

allies    

■^loilh  Canton  

Nionh  Olmsted  ... 


^onh  Ridgeville 
•Joilh  Royalton  . 

*Joilon    

^orwallc  

^oiAvood    


Dregon    

'arma  

'ert^sburg  

*ert7  Township  (Starlc  County) 
'iqua  


'ortsmouth    

<andolph  Township 

heading    

^eynoldsburg    

iaiem    


iandusky  

ieven  Hills    . 
iharonville   .. 
jouth  Euclid 
ipringneld    .. 


iteubenville 

•tow    

Itreetsboro  . 
itrongsville  . 

iylvania   


'allmadge 
'oledo    . . . 


Jnion  Township  (Butler  County)  

inion  Township  (Clermont  County) 


iniversity  Heights 
Jpper  Arlington    . . 

irbana   

'andalia    

'an  Wert    


'ermilion    

Vadsworth  

Varren   

Varrensville  Heights    

Washington  Court  House 


k'est  Carrollton 

k'esterville    

i^estlake  


34.363 
11.548 
31,269 
15,692 

20.015 
47,759 
17,985 
22,729 
14,826 

46,411 
15,830 
21,306 
14,872 
34,493 

21,746 
23,393 

11,574 
14,855 
23,874 

18,489 
88,620 
12.657 
30,563 
20,786 

22,868 
13,639 
12,139 
25,966 
12,336 

30.016 
12,443 
13,264 
24,068 
71,084 

22.312 
27,936 
10,016 
35,607 

17,447 

14,995 
335,763 
19,642 
40,039 
33,650 

14,915 
34,417 
11,449 
13,999 
10.983 

11,220 
15,851 
51,223 
15,878 
13,092 

14.524 
30,525 
27,246 


2,326 
457 

1,675 
857 

564 

1,509 

1,151 

841 

683 

2,919 
554 

1,269 
382 

1,378 

362 
444 
422 
480 
1,241 

1,183 
2,417 
229 
1,359 
1,310 

1,787 
290 
396 

1,280 
206 

2,379 
129 
883 
646 

7,656 

1,401 
867 
555 
925 
501 

663 

3 1 ,907 

894 

1,476 

2,008 

351 
1,086 
649 
554 
664 

511 
441 
4,204 
842 
479 

825 

1,189 

513 


2,326 
463 

1,689 
857 

568 

1.511 

1.162 

853 

684 

2.942 
560 

1,269 
382 

1,387 

364 
458 
424 
480 
1,248 

1,1 
2,437 
229 
1,371 
1,322 

1,817 
290 
397 

1,292 
206 

2,394 
132 
886 
649 

7,667 

1,401 
869 
560 
946 
502 

690 

32.208 

905 

1.497 

2.011 

352 
1.086 
649 
558 
672 

512 
451 

845 
481 

832 

1.216 

516 


36 


39 


4 
418 
18 
6 
13 


19 
334 


1.807 
11 
12 
26 

14 
16 
15 
8 
3 

1 

6 

209 

51 

8 

9 
16 

4 


67 
139 


153 
29 


46 

3 

3 

2 

1,009 

326 
20 

47 
4 


17 
1,225 
22 
42 
13 

29 
21 
16 
16 

24 

32 

9 

617 

73 

1 

58 
9 
11 


559 
62 

310 
86 

84 
253 
160 
155 

71 

629 
40 

176 

75 

164 

65 
84 
131 

47 
248 

169 

475 

37 

245 

205 

464 
62 
78 

201 
6 

455 
28 

163 
64 

934 

276 
125 

89 
213 

69 

178 
5,885 
148 
331 
219 

39 
178 
104 
95 
99 

78 

69 

1,197 

179 

109 

142 
186 

79 


1,589 
350 

1,131 
679 

413 
1,088 
854 
627 
429 

1,980 
450 
880 

278 
916 

258 
281 
247 
417 
845 

839 
1,287 
174 
858 
964 

1.118 
190 
269 
914 
168 

1,670 

84 

640 

458 

4,779 

714 
683 

374 
623 
361 

417 
17.743 

660 
1 ,050 
1,635 

229 

847 
496 
409 
507 

369 

332 

1.735 

341 

333 

534 
909 

357 


112 
II 
99 

47 

49 

116 

74 

34 

174 

125 
19 

123 
21 

247 

24 
61 
21 
4 
89 

70 
438 
16 
78 
69 

61 
30 
31 


38 

12 

9 

109 

15 

13 

3 

50 

3 

100 

3 

494 

II 

48 

19 

2 

31 

5 

72 

21 

29 

1 

39 

27 

4,793 

301 

35 

II 

35 

21 

102 

3 

38 

, 

20 

13 

23 

4 

23 

8 

25 

1 

23 

10 

379 

187 

3 

22 

2 

75 

7 

58 

27 

62 

3 

143 


Table  8. — Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1991 — Continued 


City  by  State 


Population 


Cnme 
Index 

total 


Modified* 
Crime 
Index 
total 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


OHIO— Continued 

Whitehall  

Wickliffe    

Willoughby  

Wooster    

Worthington    

Xenia  

Youngstown  

Zanesville    

OKLAHOMA 

Ada  

Altus    

Ardmore    

Bartlesville   

Bethany    

Broken  Arrow  

Chickasha   

Claremore  

Del  City    

Duncan  

Durant    

Edmond  

Elk  City  

El  Reno  

Enid  

Guthrie  

Lawton   

McAlester    

Miami  

Midwest  City    

Moore   

Muskogee    

Mustang  

Norman   

Oklahoma  City    

Okmulgee    

Owasso  

Ponca  City  

Sand  Springs  

Sapulpa    

Shawnee  

Stillwater  

Tahlequah  

Tulsa    

Village  

Weatherford  

Woodward    

Yukon  

OREGON 

Albany    

Ashland    

Astoria    

Beaverton    

Bend    

Coos  Bay    


20,746 
14.681 

20,683 
22,378 
14,994 
24.872 
96.542 

27,004 


15,967 
22,114 
23,294 
34,576 

20,262 
58,585 
15,128 
1 3,404 
24,151 

21,935 
12,942 
52,804 
10,525 
15,558 

45,732 
10,616 
81,314 
16,523 
13,264 

52,755 
40,694 
38,060 
10,531 
80,819 

449,025 
13,566 
11,255 
26,605 
15,489 

18,242 
26,260 
37,018 
10,495 
370,735 

10,449 
10,218 
12,455 
21,130 


30,287 
16.689 
10.351 
54,804 

21,042 
1  5,498 


2,190 
333 

771 

1,237 

569 

1,896 

10.059 

1,719 


944 
1,182 
2,258 
1,477 

1,235 
2,264 
1,510 
656 
1,558 

1,083 

1,053 

2,637 

670 

762 

3,612 
556 

5,632 
929 
801 

3,907 
2,103 
3,203 
391 
4,483 

49,720 

992 

382 

1,710 

1,003 

891 

2,209 

1,701 

679 

32,947 

826 
363 

573 
902 


2,672 
991 
531 

2,781 

2,072 
1,113 


2,196 
338 

778 
1.241 

575 

1.900 

10.465 

1,811 


947 
1,184 

1,490 

1.243 
2,277 
1,526 
657 
1,572 

1,087 

1.059 

2.668 

675 

772 

3.638 
563 

5,678 
929 
806 

3,916 
2,116 
3,224 
396 
4,494 

50,185 

997 

384 

1,735 

1,012 

898 

2,218 

1,729 

683 

33,194 

832 
365 
576 
908 


2,688 

1,002 

338 

2,793 

2,084 
1,117 


59 


42 


10 


43 
5 

55 
7 
6 

36 
13 
32 
5 
25 

473 
12 


9 

5 
8 

18 

6 

414 


113 
6 

10 

9 

15 

23 

852 

45 


34 
II 

19 
14 
30 

4 
34 

6 
9 

32 

5 

15 

25 

12 

118 

10 


57 

33 

109 

2 

50 

1,499 

33 

6 

8 

15 

16 

35 

18 

4 

1,469 


16 


344 


7 
21 

7 

59 

1,479 

97 


101 

47 
147 
89 

20 
72 
98 
22 
38 

36 
75 
166 
22 
29 

333 
45 

605 
74 
30 

183 

184 

310 

18 

86 

3,038 

130 

5 

41 

32 

58 
68 
54 
21 
2,998 

25 

6 

87 

45 


55 

U 

22 

108 

66 
33 


303 

45 

120 

205 

91 

195 

2,919 

438 


J  86 
318 
501 
249 

254 
422 
382 
165 
381 

264 
278 
553 
144 
221 

919 
138 
1,360 
199 
164 

787 
506 
845 
92 
992 

11,825 

203 

84 

506 

182 

218 
621 
432 
197 
8,724 

178 

81 

122 

183 


432 
153 
127 
494 

408 
226 


1,291 
208 

549 
938 

438 
1,540 
3,048 

1,004 


607 

757 

1,440 

1,073 

833 
1,574 
9.39 
417 
962 

731 
609 
1,694 
461 
447 

2,173 
306 

3,209 
591 
540 

2,492 
1,180 
1,597 
255 
2,990 

26,929 

546 

258 

1,041 

530 

503 
1,344 
1,125 

389 
13,688 

516 
266 
359 
625 


1,999 

775 

330 

1,907 

1,479 
761 


131 

52 

81 

54 
17 

72 
1.620 

118 


35 

35 

124 

39 

102 

174 
57 
45 

132 

44 

74 

172 

33 

42 

117 
50 

276 
47 
59 

352 
185 
304 
19 
335 

5,900 

65 

29 

91 

234 

91 
131 

53 

62 

5,612 

86 

8 

2 

39 


140 
41 
40 

195 

101 
64 


144 


Table  8.— Number  of  Offenses  Knovtn  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1991— Continued 


City  by  Stale 


OREGON— Continued 


Corvallis    

Eugene    ..- 

Forest  Grove  . 

Grants  Pass  .. 

Gresham    

Hermiston  

Hillsboro   

Klamath  Falls 


La  Grande    . . 
Lake  Oswego 

Lebanon  

McMinnville 
Medford  


Newberg  

Oregon  City 
Portland  .... 
Roseburg  . . . 
Salem    


Springfield 
Tigard   ..... 
Tualatin   ... 
West  Linn 
Woodbum  . 


PENNSYLVANIA 


Aliquippa 
Allentown    .. 

Alloona    

Beaver  Falls 


Bensalem  Township    . 

Berwick 

Bethlehem  

Bethlehem  Township 
Bristol  Township    


Butler    

Butler  Township  . 

Carlisle   

Center  Township 
Chambersburg 


Chester  

Coatesville    

Columbia    

Cranberry  Township 
Darby    


Darby  Township  

Dunmore  

East  Hempfield  Township 
East  Lampeter  Township  . 
East  Norriton  Township    . 


Elizabethtown   . . . 

Emmaus  

Ephrata  

Erie  

Exeter  Township 


Population 


Fairview  Township 

Falls  Township    

Franklin  Park  


46,011 

115.827 

13,939 

17.978 
70,147 
10,321 
38,571 
18,234 

12,095 
31,433 
11.256 
18.395 
48.267 

13.452 
15.109 

449.671 
17.509 

110.806 

45.935 
30.166 
15.433 
16.825 
13.779 


13.463 
105.792 

52.227 
10,758 

57,167 
15,582 
71,904 
16,534 
57.510 

15,818 
17,742 
18,542 
10,813 
16,758 

42,135 
11,111 
10,772 
14,914 
11,214 

11,028 
15,505 
18,721 
12,079 
13.413 

10,018 

11,231 

12,214 

109,444 

17,375 

13,346 
35,230 
10,176 


Cnme 
Index 
tola) 


2,211 

9,052 

471 

1,695 
4,121 
7.16 
1,470 
1,007 

533 

927 

747 

1,079 

3,618 

577 

1,094 

50,281 

1,362 

9,398 

3,436 

2,107 

931 

318 

979 


653 
6,637 
1,608 

340 

3,445 
293 

2,883 
453 

3.130 

681 

462 
1,237 

160 
1,396 

5,272 
771 
509 
265 
336 

248 
323 
709 
739 
435 

291 

262 

408 

5,815 

518 

473 

1,718 

9 


Modified* 
Cnme 
Index 
total 


2,247 

9,158 

480 

1,705 
4,145 
718 
1,483 
1.010 

541 

934 

755 

1.083 

3.639 

591 

1.097 

50,747 

1,370 

9,462 

3,462 

2,127 

932 

320 

990 


654 
6,662 
1,640 

345 

3,456 
294 

2,891 
454 

3,133 

684 
462 

1,248 
160 

1,402 

5,363 
777 
509 
268 
336 

248 
334 
715 
740 
435 

292 
265 
413 

5,875 
523 

473 

1,743 

9 


Murder 
and  non- 
negligent 

man- 
slaughler 


Forcible 
rape 


5 
19 
31 

2 

10 

464 

8 

90 

40 

12 
6 
3 
3 


Robbery 


21 

186 

7 

29 

126 

3 

31 

17 

10 
4 
9 
9 

46 

5 

16 

2,723 

18 

217 

48 

53 

20 

6 

23 


12 
164 
29 
31 

71 
6 

53 
3 

83 

3 
4 

23 
1 

13 

499 
61 
15 


Aggra- 
vated 
assault 


29 

13 
4 
4 
5 
9 

1 
1 
5 
335 
1 

3 
23 


37 
134 
27 

I 

100 

17 

25 

24 

28 
18 
39 
21 
128 

40 

76 

4,881 

32 
74 

145 
II 

2 
28 
22 


53 
206 

73 
85 

382 

4 

117 

II 

661 

40 
12 

120 
I 

304 

1,407 
59 
31 

24 
77 

36 

2 
4 
13 


32 

7 

6 

376 

38 

9 
108 

2 


Burglary 


412 

1,629 
95 

242 
755 
142 
259 
252 

107 
270 
105 
145 
436 

53 

188 

9,503 

225 
1,808 

646 
304 
192 

77 
142 


165 

1,371 

531 

75 

441 
55 

496 
53 

429 

89 
68 

229 
17 

172 

919 
121 
73 
34 
55 

24 
34 
125 
50 
33 

42 

53 

52 

1,158 

108 

78 

297 
4I 


Larceny- 
Itiefl 


1.645 

6.630 

310 

1,346 
2,569 

517 
1,039 

669 

364 
592 
563 
838 
2,839 

451 

727 

26,250 

1,013 

6,679 

2,374 

1,594 

649 

187 

721 


361 

4,436 

846 

133 

1,672 
215 

1,952 
379 

1,647 

502 
355 
815 
129 
844 

1,520 
464 
359 
176 

134 

141 
245 
554 
634 
363 

200 
186 
329 
3,413 
348 

366 

997 

3 


Motor 
vehicle 
theft 


81 

414 

30 

72 
535 

33 
101 

40 

18 
43 
26 

47 
137 

26 

77 

6,407 

65 

528 

183 
131 
62 
17 
67 


52 
439 
111 

II 

853 

11 

238 

6 

297 

45 
22 
40 
12 
45 

838 
52 
26 


14 

13 

11 

430 

22 

16 

282 


31 

3 

36 

37 

38 

11 

16 

6 

35 

1 

?l 

145 


Table  8. — Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1991 — Continued 


Cily  by  State 


Poputalion 


Cnme 
Index 
total 


Modified' 
Cnme 
Index 
total 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


PENNSYLVANIA— Continued 

Greensburg  

Hampden  Township  

Hampton  Township    

Haverford  Township    

Hermitage  

Hilltown  Township   

Hopewell  Township    

Horsham  Township  

Indiana  

Lancaster  

Lancaster  Township   

Lansdowne   

Lebanon  

Logan  Township  

Lower  Gwynedd  Township    

Lower  Merion  Township  

Lower  Moreland  Township    

Lower  Paxton  Township    

Lower  Providence  Township  

Lower  Salford  Township   

Lower  Southampton   

Manheim  Township    

Manor  Township    

Marple  Township  

Meadville    

Middletown  Township  

Millcreek  Township    

Montgomery  Township  

Moon  Township    

Mountaintop  Regional  

Mount  Lebanon    

Muhlenberg  Township  

Munhall    

Murrysville  

Nazareth  Area 

Nether  Providence  Township    

Newberry  Township    

New  Castle    

Newtown   

Newtown  Township    

Northampton  Township   

Northern  York  Regional    

North  Huntingdon  Township    

North  Versailles  Township  

Palton  Township  (West  Moreland 

County)    

Penn  Township  (York  County) 

Penn  Township   

Peters  Township  

Philadelphia  

Philadelphia  State  Police  

Pittsburgh'    

Radnor  Township    

Reading    

Richland  Township  

Ridley  Township    

Rostraver  

Sec  foolnote  at  end  of  table. 


16.427 
20,520 

15,671 
50,180 
15,402 
10,652 
13,362 

22,042 
15,275 
55.922 
13,275 
11,790 

24,965 
12,463 
10,024 
58,390 
11,846 

39,423 
19,480 
10,806 
19,992 
29,072 

16,214 

23,277 
14,413 
44,720 
47,132 

12,260 
19,762 
12,165 
33,584 
12,720 

13,245 
17,355 
10,264 
13,317 
12,544 

28,523 
13,776 
11,441 
35,642 
35,168 

28,346 
12,384 

10,037 
16,051 
11,735 

14,563 
1,596,699 

372,349 
28,894 

78,903 
14,028 
31,377 
11.298 


668 
488 

177 
681 
460 
251 
160 

475 
533 
4,140 
429 
274 

1,072 
341 
189 

1,854 
236 

1,589 
520 
195 
692 

1.103 

471 

569 

751 

2.131 

1,326 

677 

393 

29 

404 

557 

315 
358 
259 
212 
411 

1,142 
168 
200 
324 
994 

528 
251 

199 
134 

447 

259 

109,139 

29 

30,603 

575 

7,370 
407 
957 
360 


674 
488 

177 
683 
460 
251 
162 

476 
539 
4,150 
430 
276 

1,079 
345 
190 

1,856 
240 

1,600 
526 
195 
696 

1,112 

471 

570 

755 

2.137 

1,330 

677 
393 
29 
410 
559 

317 
364 
260 
213 
426 

1.204 
168 
206 
326 

1.001 

545 
251 

200 
134 
451 

275 

111,132 

32 

31,013 

579 

7,421 
414 
961 
361 


440 


36 


904 


300 


II 
7 
I 
3 

1 

3 

161 

11 

10 

26 
1 

2 
53 

2 

17 
8 
2 
11 
16 

1 
6 

5 
24 
10 

11 

7 


3 
6 

7 
14 

1 
1 

2 

2 

13,921 

1 

2,704 

10 

467 

1 

10 


53 
21 

13 
20 

25 
4 
3 

13 
60 
142 

7 
12 

26 
4 
4 

11 

2 

128 

5 

18 

25 

16 

13 
4 

17 
25 
11 

6 
17 

5 

19 
14 

60 
19 
9 

10 

7 

81 

2 

5 
6 
10 

15 
17 


3 
7,216 

2 

1,254 

23 


388 

55 

73 

5 


152 
58 

41 

129 

48 

50 

42 

67 

94 

1,120 

77 
^55 

189 
86 
52 

330 
43 

256 
111 
22 
115 
154 

46 
104 
113 

237 
308 

29 
39 

7 
60 

57 

52 
77 
70 
28 
50 

295 
36 
26 
48 

130 

114 
53 

23 
20 
51 

38 

21,460 

7 

5.891 

89 

2.080 

67 

122 

22 


396 

377 

89 
462 
354 
172 
100 

362 

355 

2.382 

300 

177 

776 
223 
118 
1.182 
158 

1.114 

358 
146 
454 
868 

402 
396 
599 
1.430 
928 

580 
237 
15 
293 
416 

144 

239 
157 
153 
330 

549 
123 

147 
224 
787 

347 
117 

169 

90 

369 

194 

40.880 

15 

12.942 

396 

3.744 
262 
654 
288 


44 
27 

30 
58 
24 
22 
11 

29 
16 
291 
28 
18 

48 
25 
II 

277 
30 

72 
35 
5 
81 
46 


59 

16 

403 

57 

51 
89 
2 
23 
63 

50 
19 
19 

18 

17 

148 
6 

22 
43 
49 

44 
50  . 

2 
13 
20 

22 

24.318 

4 

7.476 

55 

645 
20 
94 
35 


146 


Table  8.— Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1991— Continued 


City  by  State 


PENNSYLVANIA— Continued 

Salisbur7  Township  

Sharon 

South  Whitehall  Township  

Springeltsbui7  Township    

Springfield  Township   

Spring  Garden  Township    

Spring  Township  

Slroud  Township 

Sunbury    

Susquehanna  Township    

Swatara  Township   

Swissvale  

Towamencin  Township  

Upper  Allen  Township   

Upper  Chichester  Township    

Upper  Merion  Township  

Upper  Providence  Township  

Upper  Southhampton  Township   

A'arren   

^Varwick  Township   

Washington    

Washington  Township  

West  Chester    

West  Hempfield  Township  

West  Manchester  Township  

Whitehall  

Whitehall  Township   

Windsor  Township    

>'eadon  

Vork  

I'ork  Township   

RHODE  ISLAND 

Jarrington  

Jristol  

Jurrillville    

Central  Falls   

Tonventry 

Transton    

Cumberland  

last  Greenwich   

iast  Providence    

ohnston    

-incoln  

4iddletown    

Jarragansett    

•Jewport  

4orth  Kingstown    

Jorth  Providence  

Jorth  Smithfield    

'awtuckei   

'ortsmouth    

tovidence   

mithfield   

outh  Kingstown    

iverton  

I'arren   


Population 


13.490 

17.609 
18.382 
21.708 
19.743 
11.281 

19,025 
10.670 
11,668 
18.760 
19.792 

10.708 
14.261 
13,436 
15,104 
25,893 

10,780 
16,183 
11,196 
11,699 
15,969 

11,193 
18,161 
13,028 
14.464 
14.547 

22.931 
10.214 
12.060 

42,473 
24.313 


15,857 
21,636 

16.238 
17.646 

31.099 
76.100 
29,053 
11.871 
50,406 

26,556 
18,054 
19,470 
14.992 
28,241 

23.798 
32.107 
10.502 
72.682 
16.865 

160.835 
19.173 
24.644 
14.319 
11.391 


Crime 
Index 
total 


403 

589 
789 
621 
483 

447 

226 
463 
758 
805 
1.256 

374 
326 
193 
614 
1,915 

77 

290 

459 

133 

1.149 

246 
1.138 

207 
1.136 

119 

1.604 
123 
536 

3.358 
690 


440 

422 

259 

1.091 

831 
2.637 
1.145 

352 
1.748 

1.084 
959 
382 
675 

2.486 

827 
1.244 

344 
4.292 

244 

16.330 
392 
642 
364 

375 


Modified* 
Crime 
Index 
total 


404 

596 
793 
623 
483 
448 

221 
467 
761 
814 
1.256 

374 
326 
193 
626 
1.919 

77 

291 

462 

134 

1,154 

250 
1,150 

208 
1,138 

119 

1,617 
125 
539 

3.386 
691 


462 

423 

261 

1.091 

844 
2.658 
1.149 

352 
1.768 

1.093 
967 
382 
675 

2.513 

835 
1.258 

347 
4.293 

244 

16.809 
394 
643 
364 
377 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


13 


107 
3 
4 
1 


25 


Aggra- 
vated 
assault 


12 
1 

22 

195 

9 


5 

3 

44 

1 

19 

2 

102 


804 
2 
6 
3 


53 
7 
5 
7 

10 

4 

5 

127 

18 

23 


9 
15 

4 
122 

6 

55 
12 
10 


Burglary 


24 

6 

47 

109 

22 


13 

14 

6 

161 

41 
61 
80 
9 
67 

24 

4 

34 

92 

226 

24 

47 

35 

166 


1,126 

5 

14 


2 


123 

103 

58 

78 

52 

52 

59 

116 

103 

172 


Larceny- 
theft 


68 

180 

48 

257 

32 

146 

91 

394 

174 

1,298 

18 

47 

83 

173 

72 

342 

16 

102 

184 

716 

55 

177 

183 

753 

23 

160 

82 

1,014 

11 

74 

196 

1,208 

28 

81 

88 

312 

628 

2,256 

130 

500 

303 

331 
663 

525 
349 
356 

164 
345 
466 
561 
954 


Motor 
vehicle 
theft 


99 

304 

89 

294 

76 

162 

274 

374 

229 

505 

615 

1,525 

226 

754 

106 

208 

369 

1.074 

226 

600 

186 

561 

67 

257 

166 

366 

504 

1,574 

210 

540 

309 

633 

90 

196 

1,001 

2,064 

53 

172 

3,707 

6.865 

91 

247 

152 

437 

77 

244 

92 

245 

33 

3 

99 

9 

79 

100 

10 

6 

79 

12 

370 

4 

7 

24 

1 

22 

3 

9 

1 

71 

5 

8 

4 

102 

12 

8 

1 

15 

2 

32 

155 

13 

6 

2 

64 

3 

132 

28 

26 

1 

18 

22 

18 

1 

12 

2 

238 

41 

13 

387 

21 

73 

4 

26 

207 

20 

224 

9 

190 

8 

19 

45 

112 

27 

50 

8 

232 

14 

20 

3 

928 

1 

19 

3.703 

479 

44 

•> 

29 

1 

39 

28 

2 

147 


Table  8. — Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1991 — 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 


RHODE  ISLAND— Continued 

Warwick  

Westerly  

West  Warwick    

Woonsockel   

SOUTH  CAROLINA 

Aiken  

Anderson  

Cayce  

Charleston    

Clemson  

Columbia    

Conway    

Easley   

Florence  

Gaffney    

Goose  Creek   

Greenville 

Greenwood  

Greer  

Hanahan    

Irmo  

Mauldin   

Mount  Pleasant  

Myrtle  Beach    

Newbert7  

Nonh  Augusta   

North  Charleston   

Orangeburg  

Rock  Hill    

Simpsonville    

Spartanburg   

Summerville  

Sumter    

Union    

West  Columbia    

SOUTH  DAKOTA 

Aberdeen   

Brookings    

Huron   

Mitchell    

Rapid  City   

Sioux  Falls  

Vermillion    

Watertown    

Yankton  

TENNESSEE 

Bartlett   

Brentwood    

Bristol   

Chattanooga  

Clarksville  

Cleveland    

Collierville    

Columbia    


85,472 
21.616 
29,283 
43.900 


10,810 


25,177 
16,433 
12,573 
13,936 

55,070 
101,885 
10,134 
17,768 
12,830 


27,408 

16,646 

23,784 

154,835 

76,667 
30,825 
14,651 
29,027 


4,809 
574 

I, no 

2,336 


20,289 

1,816 

26,734 

2,229 

11,397 

942 

82,104 

7,579 

11,329 

655 

99,990 

13,163 

10,025 

1,174 

15,514 

922 

-30,439 

3,542 

13,421 

979 

25,211 

880 

59,507 

7,193 

21,244 

1,381 

10,538 

982 

13,452 

770 

11,517 

267 

11,830 

443 

30,740 

1,726 

25,370 

3,906 

10,763 

324 

15,673 

941 

71,693 

9,387 

14,027 

1,931 

42,518 

4,708 

11,954 

431 

44,380 

5,889 

22,992 

1,466 

42,824 

4,108 

10,042 

197 

1,418 


1,094 
533 
486 
8.30 

4,200 

5,184 

495 

722 

550 


897 

454 

1,322 

19,610 

5,774 

1,872 

454 

2,218 


4,841 

577 

1,120 

2,342 


1,106 
534 
501 
834 

4,223 

5,219 

496 

726 

551 


454 

1,331 

19,763 

5,789 

1,879 

455 

2,2.36 


20 


10 
25 
11 
30 

3 

119 

9 

6 

22 

2 

5 

52 

24 

7 


61 


12 
163 


47 

57 

27 

308 

9 

687 

30 

7 

132 

29 
15 
243 
34 
43 

16 

4 

5 

21 

115 

4 
36 

376 
70 

160 

5 

269 

38 

148 


49 


10 


12 
3 

16 
961 

86 

29 

9 

45 


472 

6 

54 

132 


107 
330 
113 
708 

29 

1,202 

184 

66 
397 

113 

61 

783 

399 

93 

47 

13 

36 

126 

151 

71 

85 

874 

152 

658 

47 
794 
128 
430 

47 

135 


39 


6 
26 

208 

256 

6 

27 
14 


59 

20 

42 

2,225 

1.254 

223 

18 

167 


674 
198 
279 
677 


459 

624 

155 

1,215 

120 
2.145 
158 
204 
674 

227 
166 
1,383 
229 
213 

200 
55 
70 

331 
1.087 

53 

152 

1.727 

279 

994 

74 

1,110 

363 

796 

30 

217 


156 

91 

230 

4,331 

1,084 

434 

65 

474 


2,774 
340 
684 

1,236 


1,108 

1,039 

578 

4,580 

453 

7,912 

742 

600 

2,141 

547 

589 

4,389 

664 

567 

455 

183 

302 

1,149 

2,395 

178 

598 

5,255 

1,299 

2.637 

290 

.3,350 
811 

2,475 
106 

914 


178 

824 

141 

375 

45 

421 

160 

596 

574 

3,124 

800 

3,837 

108 

370 

109 

546 

76 

435 

612 

332 

963 

9,099 

3,044 

l.Oll 

333 

1,442 


826 
28 
78 

213 


84 
151 

57 
722 

41 

1.073 

49 

36 

174 

59 

44 

332 

30 

57 

43 

9 

23 

89 

126 

14 

66 

1,063 

109 

219 

13 

310 

104 

228 

4 

90 


33 
15 
12 
36 

178 

169 

11 

26 

18 


52 

8 

-  58 

2,782 

243 
156 
29 
76 


148 


-Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1991— Continued 


City  by  Stale 


Population 


Cnine 
Index 
total 


Modified* 
Cnme 
Index 
total 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
ra|}e 


Robbery 


Aggra- 
vated 
assault 


Burglar)' 


Larcen>- 
theft 


Motor 
vehicle 
theft 


TENNESSEE— Continued 


TEXAS 


22.081 

21,428 
20,410 
19,086 
33,404 
11,393 

13,742 
32,688 
51,380 
50,148 
36,9.30 

167,686 
10,573 
19,506 
11,367 

619.981 

21,717 
45,620 
507,328 
27,733 
14,267 

13.859 
1 1,401 
17,021 
10,676 


108,929 
20,210 
18,699 
19,630 

160,978 
10,905 
17,505 

267,306 
11,201 

475,558 
17,777 
18,557 
65,212 

116,762 

44,695 
13,836 
14,137 
12,742 
19,981 

23,585 
16,009 
12.207 
99.990 
18.779 

56.175 
10,361 
16,456 
1  1 ,607 
83,921 


877 

1,355 
1,246 
1,110 
560 
1,279 

866 
1,079 
6,055 
3,254 
2,905 

15,529 
461 
810 
631 

63,137 

1,458 

3,665 

43,958 

1,505 

792 

853 

1 ,034 

812 

932 


6,451 

1,412 

931 

1,503 

12,768 
355 
866 

25,341 
858 

53,715 
1,669 
2,093 
5,867 

13,147 

2,257 
906 
689 
493 
707 

1,120 

666 

844 

9,816 

1,300 

4,739 
276 
879 
211 

5,642 


877 

1,364 
1.253 
1,110 
561 
1,279 

866 
1.086 
6.094 
3.269 
2,925 

15,701 
461 
812 
640 

63,835 

1,475 
3,679 

1.512 
792 

856 

1 ,034 

812 

934 


6,487 

1,415 

934 

1,510 

12,858 
355 
866 

25,443 
859 

54,216 
1,675 
2,098 
5.902 

13,186 

2,265 
909 
693 
495 
709 

1.129 

666 

845 

9,842 

1.309 

4.759 
280 
884 
212 

5,663 


35 


169 


13 
48 
21 
13 

123 

2 

10 

3 

653 

13 
19 

514 

10 

5 

3 
6 
1 


12 

166 

1 

276 

16 

7 

43 

94 

19 

4 

2 

1 
5 

20 

1 

13 

31 

27 

57 


33 


19 

25 

11 

7 

24 

4 

6 

284 

43 

18 

668 

6 

6 

5 

4,504 

11 
63 
2,648 
31 
26 

10 
21 


216 
9 


265 

13 

700 

11 

1,555 

31 

32 

204 

691 

38 
6 

21 
8 
5 

15 
9 
12 
224 
11 


51 

142 

189 

8 

40 


97 
6.39 

68 
290 

1,938 
40 
32 
22 

3,492 

46 

273 

4,739 

61 

66 

36 

268 

7 

29 


575 
90 
32 
58 

546 

28 

85 

1,216 

131 

1,088 

308 

90 

285 

1,146 

48 
128 
32 
25 
21 

107 

36 

94 

549 

102 

427 

21 

12 

9 

118 


215 

278 
2.30 
166 
41 
176 

267 
245 
1.162 
664 
410 

3.984 

67 

142 

135 

16.580 

240 
549 
10.321 
285 
217 

341 
108 
167 
180 


1,808 
352 
193 
243 

2,354 
57 

156 
4,778 

258 

11,591 

349 

463 

1,283 

3,580 

502 
237 
119 
100 
160 

261 
154 
183 
2,428 
298 

1,161 
54 
190 
46 

1,249 


568 

854 
767 
685 
486 
962 

529 

703 

3,628 

2,240 

2,031 

6,639 

319 

555 

407 

24.357 

995 

2,511 

21,807 

1,045 

428 

433 
599 
576 
682 


3,534 
917 
674 

1,044 

9,020 

254 

525 

15,076 

439 

34,4 1  7 

839 

1,435 

.3,250 

6,528 

1,451 
499 
423 
351 
445 

674 
442 
521 
5.590 
821 

2,771 
179 
595 
144 

3.574 


50 

147 
69 

52 
17 
76 


66 

14 

7 

284 

39 

218 

15 

141 

20 

2.142 

172 

27 

65 

2 

59 

9 

13.382 

698 

152 

17 

248 

14 

3,841 

72 

7 

47 

29 

3 

30 

53 

35 

2 

239 

36 

34 

3 

26 

3 

133 

7 

488 

90 

14 

75 

3.379 

102 

17 

1 

4.739 

501 

126 

6 

64 

5 

795 

35 

1.093 

39 

198 

8 

31 

3 

91 

4 

8 

2 

71 

2 

40 

9 

23 

21 

1 

976 

26 

41 

9 

237 

20 

20 

4 

61 

5 

10 

1 

578 

21 

149 


Table  8. — Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1991 — Continued 


Cily  by  Slale 

Population 

Cnme 
Index 
total 

Modified' 
Crime 
Index 
total 

Murder 
and  non- 
negligent 

man- 
slaughter 

Forcible 
rape 

Robbery 

Aggra- 
vated 
assault 

Burglary 

Larceny- 
theft 

Motor 
vehicle 
theft 

Arson* 

TEXAS— Continued 

Cedar  Hill      

20,402 
22,678 
53,575 
12,995 
28,199 

17,241 

24,592 

262,947 

23,399 

1,028,362 

28,242 
31,360 
21,963 
67,684 
31,195 

12,921 
13,145 
36,510 
21,091 
30,522 

10,735 
526,339 
14,179 
38,963 
24,767 

15,858 
11,727 
457,171 
11,632 
23,300 

14,560 
10,247 
60,330 
184,505 
11,737 

15,158 
101,741 
29,825 
23,563 
16,865 

33,557 
13,115 
49,775 
11,376 
15,059 

1,665,756 

12,317 

28,520 

34,290 

158,345 

13.037 
13,974 
17.754 
11.301 
64,890 

25,815 
23,262 

1.011 
1.662 
2.262 
318 
3.141 

546 

1.311 

27.459 

1.942 

154.929 

959 
2.199 

2,355 
5,279 
2,045 

1,003 
397 
2,303 
1,625 
1,765 

657 

50,684 

866 

2,136 

2,360 

651 

1.188 

77.595 

837 

684 

1.030 
300 

7.799 

12.083 

299 

1.007 
9,368 
1,588 
4,210 
707 

3,037 

524 

4,514 

1,260 

805 

180,308 

1,657 

1,587 

2,894 

13,526 

968 

386 

1,124 

1,078 

5,009 

1,659 
853 

1,014 
1,672 
2,268 
319 
3,146 

548 

1,328 

27,614 

1.963 

156.456 

963 
2,206 
2,388 
5,341 
2,061 

1,007 
398 
2,330 
1,630 
1,779 

657 
50,941 

869 
2,147 
2,364 

654 

1,199 

77,981 

841 

689 

1,036 
300 

7,848 

12,164 

300 

1,009 
9,371 
1,598 
4,239 
709 

3,037 

527 

4,531 

1,261 

816 

182,185 

1,660 

1,588 

2,899 

13,572 

969 

387 

1,129 

1,085 

5,135 

1,672 
855 

1 
1 

4 

5 
10 

12 
24 
19 

34 
26 

71 

11 

337 

8 

53 

1,337 

63 

13,449 

184 
392 
137 
373 
24 

60 
3 

72 
131 
148 

36 
3,818 
39 
70 
59 

101 

62 

4,851 

27 

28 

35 

11 

544 

416 

19 

40 
705 

69 
810 

11 

80 

84 
322 
173 

66 

10,947 

45 

92 

151 

418 

42 
65 

48 
122 
200 

168 

32 

375 
198 
424 
63 
576 

165 

376 

5,829 

392 

31,513 

265 
438 
53-3 
1,244 
649 

320 
64 
546 
338 
459 

164 

9,087 

209 

449 

473 

143 
256 
16,878 
200 
166 

262 

88 

1,455 

2,920 

79 

239 
2,017 

300 
1,091 

185 

754 
119 
881 
236 
126 

• 

39,726 

237 

430 

467 

2,490 

244 

87 

238 

240 

1,381 

390 

107 

534 
1,347 
1,595 

235 
1,925 

339 
816 

17,916 
1,345 

71.920 

437 
1.241 
1.579 
3.301 
1.129 

560 

321 

1.330 

1,080 

929 

412 
30,457 

506 
1,364 
1,411 

365 
614 
38,333 
483 
408 

661 

162 

4,545 

7,129 

181 

657 
5.053 
1.111 
1.968 

452 

1,732 

277 

2,794 

714 

562 

73,769 

966 

930 

1,846 

8,986 

618 
206 
765 
643 
2,971 

1,004 
631 

51 
61 

143 
8 

202 

31 

42 

1,546 

96 

25,085 

62 

115 

80 

223 
187 

55 

7 

288 

58 
196 

34 
5,524 

87 
188 
381 

36 

172 

13,470 

86 

74 

49 
33 

795 

1,142 

18 

43 

1,307 

79 

248 

52 

382 

23 

434 

111 

48 

40,162 

354 

82 

319 

1,278 

35 
24 
52 
61 

244 

71 
60 

3 

10 

College  Station  

Colleyville  

6 

1 
1 

1 

16 

2 

14 

204 

15 

1,208 

1 

2 

4 

36 

4 

1 

1 
11 
2 
8 

84 

1 

10 

595 

26 

11,254 

10 
7 
20 
96 
50 

6 

1 

56 

16 

24 

11 

1,484 
17 
45 
32 

2 

71 

3,426 

28 

3 

18 
6 

373 
329 

2 

20 

223 

18 

71 

7 

62 
11 
57 
19 
3 

13,883 
39 
36 

67 
269 

19 

9 

8 

116 

17 
11 

5 

Coppell  

2 

17 

32 

5 

500 

155 

21 

Dallas    

1,527 
4 

Del  Rio    

4 
2 
6 

2 

1 

7 
33 

62 

DeSoto                    

16 

Donna  

4 
1 

27 

Eagle  Pass    

5 

1 

14 

El  Paso  

49 

1 
1 

265 
7 
19 

3 

4 

11 

442 

11 

2 

3 

257 
3 

Farmers  Branch  

11 
4 

3 

Forest  Hill       

2 

195 

2 

3 

2 

11 

386 

4 

Friendswood     

5 

6 

Galveslon    

Garland    

22 
13 

65 
134 

49 

81 

1 

8 
56 
11 
20 

2 

7 

3 

Grapevine         

10 

2 

29 

2 

Haltom  City 

6 

1 
2 
1 

21 
9 

24 
6 

Marker  Heights    

3 

Harlingen            .         

17 

1 

Hereford 

11 

Houston  

608 

5 
2 

1,213 
11 
15 

44 
67 

8 
3 

11 
3 

67 

7 
12 

1,877 

3 

Huntsville   

1 

5 

Irving    

18 
2 

46 

1 

Keller    

1 

Kerrville    

1 

1 

30 

2 

5 

7 

Killeen    

126 

Kingsville    

13 

Lake  Jackson    

2 

150 


Table  8. — Number  of  Offenses  Known  (o  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1991 — Continued 


City  by  Stale 


Population 


Cnme 
Index 
total 


Modified' 
Crime 
Index 
total 


Murder 
and  non- 
ne&ligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


TEXAS — Continued 

La  Marque  

LaMesa 

Lancaster  

La  Pone   

Laredo    

League  City 

Levelland  

Lewtsville    

Live  Oak  

Longview  

Lubbock  

-uflcin  

Mansfield    

vlarshall  

vlcAllen   

vlcKinney  

viercedes  

viesquile    

vlidland  

vlineral  Wells  

vlission    

vltssourt  City   

vlount  Pleasant  

•^lacogdoches   

*Jederland   

"Jew  Braunfels   

vionh  Richland  Hills  

Jdessa    

Drange    

'alestine 

'ampa  

*aris  

^asadena    

'earland  

*ecos   

'harr   

'latnview    

*lano  

*ort  Arthur    

'ortland  

*ort  Lavaca  

*ort  Neches  

(ichardson   

Richmond  

tobstown    

Rockwall    

losenberg  

(ound  Rock    

lowlett  

•an  Angelo  

>an  Antonio    

■an  Bentto   

■an  Juan   

an  Marcos    

chertz    

■eguin   

herman 


14,421 
1 1 .039 
22,588 

28,505 
125,521 
30,802 
14,284 
47,513 

10,236 
71,811 
190,179 
30,850 
I  5,940 

24,187 
85,814 
21,737 
12,964 
103,649 

91,351 
15,186 
29,264 
36,947 
12.553 

31,530 
16,537 
27,917 
46,874 
91,613 

19,794 
18,427 
20,384 
25,226 
121,910 

19,095 
13.326 
33,623 
22,163 
131,459 

69.363 
12.484 
11.118 
13.250 
76,436 

10.010 
13.123 
10.709 
20,613 
31,582 

23.755 
86.276 
955.905 
20.554 
11.045 

29.356 
10.780 
19.255 
32,275 


1,010 

492 
1,286 

998 

11,823 

1,234 

627 

4,269 

529 

7,296 

12.442 

2,705 

940 

2,078 
9,182 
1,900 
608 
8,346 

6.574 
1.016 
1,817 
1.763 
923 

1.759 

784 

2.322 

3.198 

12.800 

2,210 
1,565 
1,422 
3.495 
11.290 

1.231 
431 
3.183 
1.838 
7.593 

5.694 
424 
462 
522 

4.967 

945 

518 

527 

1.974 

1.321 

931 

5.685 

117.486 

985 

746 

1.716 

491 

1.649 

2.874 


1. 01 1 

499 

1.313 

1.002 

11.885 

1.246 

640 

4.288 

534 

7.329 

12,481 

2,710 

940 

2.092 
9.197 
1.902 
612 
8.390 

6,593 
1.021 
1.827 
1.775 
932 

1.770 

785 

2.324 

3.202 

12,856 

2,223 
1.578 
1.426 
3.508 
11,369 

1,253 
433 
3,193 
1,857 
7,615 

5.752 
427 
464 
523 

4.986 

951 

526 

533 

2.030 

1,326 

959 

118.501 
985 

747 

1.726 

496 

1,654 

2,887 


7 

208 

I 


27 

3 

83 
137 
23 


41 

698 

1 

5 

20 
8 
II 

32 


19 

6 

34 

12 

173 

20 

2 

68 


201 

276 

54 

II 

31 
122 

25 

1 

172 

131 

8 

14 

44 

15 

36 
9 

27 
63 
177 

118 
34 
16 
59 

260 

19 

2 

42 

27 

100 

237 
I 

9 
3 

112 

33 
7 

10 
53 

7 


41 

3,778 

5 

4 

34 

3 

40 

97 


27 
72 
1 

84 
677 
10 
35 
71 

31 

476 

634 

69 

64 

201 
460 
304 
131 
393 

781 

87 
77 
64 
42 

166 
13 

353 
99 

569 

162 
174 
355 
462 
1,064 

144 
7 
133 
141 
285 

586 

8 

61 

39 

160 

125 
34 
18 

167 
87 

44 

406 

2,889 

75 

27 

111 
29 

142 
97 


315 

80 

340 

217 
2.680 
293 
111 
824 

82 

1.660 

3,034 

785 

188 

419 

1,709 

414 

194 

1.314 

1.679 
251 
390 
580 
239 

375 
159 
463 
583 
2.297 

479 
348 
273 
650 

2.478 

234 
103 
737 
398 
1.553 

1.740 
121 
116 
124 

1,125 

300 
231 
82 
372 
260 

295 

1,262 

24.941 

290 

204 

377 
126 
550 
694 


555 
311 

712 

591 
7.136 

757 

450 

2.828 

356 
4.330 
7.691 
1.637 

621 

1.270 
5,705 
1.036 
217 
5.457 

3,536 
604 

1,146 
894 
571 

1.100 

558 
1.310 
2.041 
9.129 

1.304 

927 

724 

2.144 

5.834 

604 

313 

1.908 

1.199 

5,075 

2,432 
269 
263 
317 

3.114 

430 
207 
366 
1.291 
864 

548 

3.737 

70.559 

542 

418 

1.023 
304 

838 

1.7711 


1.128 

138 

28 

447 

48 
536 
652 
133 

55 

135 

1.166 

95 

53 

975 

362 

57 

179 

178 

53 

59 

43 
165 
385 
526 

127 

62 

40 

161 

1,569 

219 

5 

353 

61 

538 

609 
23 
10 
36 

420 

51 
36 
50 

73 
73 

28 

191 

14.413 

71 

87 

149 
20 
66 

182 


151 


Table  8. — Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1991 — 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 

Snyder  

South  Houston  

Stephenville   

Sugar  Land    

Sulphur  Springs  

Sweetwater   

Taylor   

Temple  

Terrell  

Texarkana  

Texas  City   

The  Colony    

Tyler    

Universal  City   

University  Park  

Uvalde   

Vernon    

Victoria    

Vidor  

Village  

Waco  

Watauga  

Waxahachie    

Weatherford  

Weslaco    

West  University  Place  

White  Settlement    

Wichita  Falls    

UTAH 

American  Fork    

Bountiful   

Brigham  City    

Cedar  City   

Cenlerville    

Clearfield  

Kaysville    

Lx)gan    

Midvale   

Murray   

North  Ogden  

Ogden    

Orem   

Provo    

Roy  

St.  George    

Salt  Lake  City   

Sandy    

South  Jordan    

South  Ogden   

South  Salt  Lake    

Spanish  Fork    

Springville  

Tooele  

West  Jordan    

West  Valley   


12,455 

14,510 
13,790 
25,052 
14,362 
12,222 

11,716 
47,092 
12,756 
32,331 
41,693 

22,584 
77.060 
13,335 
22,734 
15,043 

12,257 
56,251 
11,168 
11,721 
105,800 

20,435 
18,555 
15,119 
22,343 
13,195 

15,802 
98,313 


16.125 
37,662 
16.072 
13,810 

11.814 
22.021 
14.343 
33.658 
12.211 

32.138 
11,987 
65,658 
69,410 
89,211 

25,276 
29,282 
164,313 
77,112 
12,554 

12,436 
10,406 
11,580 
14,331 
14,267 

44,065 
89,356 


391 

1,476 

665 

1,005 

1,022 

721 

846 
3,733 
1,123 
3,576 
4,350 

926 
8,850 

744 
1,123 

304 

811 

5,581 

602 

295 

12,657 

613 
2,074 

809 
1,938 

366 

1,291 
9.965 


700 

1.242 
510 
456 

300 

781 

346 

1.297 

1,121 

3,564 
227 
5,618 
3,089 
3,310 

1,080 

1,558 

20.835 

3.380 

434 

494 
2.040 
620 
565 
636 

2.405 
6.989 


391 

1.478 

668 

1.017 

1.023 

722 

846 
3,737 
1,124 
3,610 
4,382 

930 
8.879 

747 
1,123 

304 

824 

5,602 

607 

296 

12.683 

616 
2.083 

815 
1,947 

366 

1,293 
10.011 


700 

1,243 

510 

457 

301 

785 

348 

1,306 

1,121 

3,584 
228 
5,661 
3,096 
3,317 

1,082 

1,563 

20,957 

3,385 

440 

496 
2,046 
630 
568 
636 

2,409 

7,038 


23 


105 
6 


56 
30 
41 

9 

17 

182 

14 

4 

3 

13 
5 
3 

7 

11 
89 


19 
8 
10 

18 

72 
46 
101 
119 

7 

160 

10 

34 

9 

20 

117 

3 

12 
424 

7 
23 

3 

15 
II 

9 
323 


25 


96 
6 

17 

3 
8 

474 


56 


29 

37 

33 

32 

117 

55 

53 
391 
118 
225 
149 

30 

488 

69 

9 

35 

171 

561 

18 

13 

866 

II 

170 

62 

85 

3 

31 
539 


74 

2 

212 

35 

44 

79 
28 
649 
62 
29 

12 
48 
4 
10 
19 

130 

234 


63 

294 
92 
282 
229 
176 

259 
805 
349 
837 
950 

225 
1,817 
120 
200 
113 

195 
1,433 

108 

79 

3,646 

157 
481 
217 
461 
92 

274 
2,135 


64 
134 
44 
65 

67 

94 

52 

148 

159 

426 
20 
783 
247 
424 

135 

193 

3,460 

641 

93 

97 

309 

77 

73 

123 

316 
1,049 


280 

860 
494 
575 
596 
454 

467 
2,180 

525 
2,186 
2,705 

626 
5,545 
510 
769 
131 

388 

3,222 

442 

149 

6,495 

387 
1,252 

476 
1,147 

217 

823 
6,308 


582 

1,024 

443 

365 

209 
618 
259 
1,101 
867 

2,925 
203 
4,229 
2,681 
2,642 

825 

1,242 

14,602 

2,557 
274 

358 
1,523 
523 
453 
450 

1,848 
5,396 


10 

234 
40 
95 
62 
19 

37 
205 

75 
195 
393 

34 

738 
32 

105 
15 

31 

220 

30 

42 

1,098 

44 
128 

39 
228 

41 

150 

570 


43 

55 

6 

14 

2 
33 
12 
17 
55 

101 

2 

240 

90 

142 

29 
68 
1,454 
83 
32 

21 
1-23 
10 
26 
35 

86 

161 


152 


Table  8. — Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1991 — Continued 


City  by  State 


Population 


Crime 
Index 
total 


Modified' 
Cntne 
Index 
total 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglar> 


Larceny- 
theft 


Motor 
vehicle 
theft 


VERMONT 


Burlington 
Rutland  .. 


VIRGINIA 


Alexandria    

Alexandria  State  Police 

Arlington   

Arlington  State  Police  .. 


Blacksburg    

Bristol   

Bristol  State  Police   

Charlottesville  

Charlottesville  State  Police 


Chesapeake  

Chesapeake  Slate  Police  

Christiansburg    

Colonial  Heights  

Colonial  Heights  State  Police 


Danville  

Fairfax  City  

Fredericksburg    

Fredericksburg  State  Police 
Front  Royal  


Hampton  

Hampton  State  Police  

Harrisonburg  

Harrisonburg  State  Police 
Hemdon    


Hopewell   

Hopewell  State  Police   . 

Leesburg    

Lynchburg  

Lynchburg  Slate  Police 


Manassas  

Martinsville    

Newport  News  

Newport  News  State  Police 
Norfolk  


Norfolk  Slate  Police  ... 

Petersburg 

Petersburg  Stale  Police 

Poquoson    

Portsmouth    


Portsmouth  State  Police 

Pulaski    

Pulaski  State  Police   .... 

Radford    

Richmond  


Richmond  Stale  Police 

Roanoke  

Roanoke  State  Police  .. 

Salem    

Staunton    


Staunton  Stale  Police 

Suffolk    

Suffolk  Slate  Police    . 
Vienna    


39.443 
18,367 


112,955 
173.660 


35.141 
18.719 


40.984 


154,398 


15,243 
16,320 


53.901 
19,934 
19,330 


12.069 
135,925 


31,196 
16.396 
23,469 


16,460 
67,101 


28.402 

16,419 

172,755 


265,392 


38.997 


11.180 
105,563 


10,144 


16,194 
206.292 


97,933 


24,134 
24.850 


52,972 
15,088 


3,460 
1,246 


8.499 

I 

11,872 

12 

1,044 

969 

3 

2,656 

I 

8.418 

9 

907 

833 

2 

2.564 
1.376 

8.39 
8 

565 

8.269 

7 

1.732 

2 

713 

1.420 

1 

678 

3.628 
4 

1,320 
1.076 

11.745 
8 

24.529 

22 

3,266 

3 

149 

10,435 

7 

657 

21 

496 

23.917 

35 

8.754 

3 

860 

866 


3,388 

2 

586 


8,542 

I 

11,921 

12 

1,048 

974 

3 

2.679 

I 

8.517 

9 

907 

835 

2 

2.564 
1,408 

844 
8 

571 

8.359 
7 

1.738 

2 

714 

1.420 

1 

679 

3.666 
4 

1.321 
1.079 

11,823 
8 

24.688 

23 

3,277 

3 

150 

10.559 

7 

661 

21 

497 

24.124 

35 

8.823 

3 

865 

870 

2 

3.413 

2 

587 


14 


32 


I 
116 


14 


26 


68 


6 

7 
107 


205 


33 


2 
150 


405 
363 


329 


50 
20 
33 

7 

290 


15 

106 

I 

26 

26 

484 


1.530 


3 
139 


I 
645 


1.449 


2 
272 


124 
II 


275 
360 


161 


478 

1 

32 

18 


100 

31 

88 

I 

12 

253 


116 


II 

341 

I 

24 
103 
666 

1.253 

3 

270 


27 
510 

2 

34 

I 

18 

1,699 

I 
382 


325 
7 


625 
282 


1.358 
1,508 


139 
138 


338 


1,618 


147 
41 


370 
201 
124 


65 


1,315 

1 

209 


94 
208 


101 

505 

1 

174 

209 

2,441 


4,571 


710 


20 
1.707 

2 
137 

2 

72 

4.822 


1,606 


126 

124 


756 
67 


2,630 
884 


5,373 

1 

8,319 


834 
738 

1 
1,948 

I 

5,175 

7 

682 

725 

I 

1,944 
1,029 

513 
3 

424 

5,753 

6 

1,436 


574 

1,005 

I 

517 

2.481 
1 

994 
691 

7.177 

2 

13.935 

12 

1.869 

1 

93 
6.128 

2 

457 

14 

383 

12.941 

28 

6,085 

3 

686 

670 

2 

1,847 

2 

474 


126 
50 


1,038 


1,275 
4 

31 

34 

1 

103 


739 

1 

38 

37 
I 

81 
89 

73 

3 

52 

573 


42 


28 
158 


96 
36 

852 

5 

2,949 

3 

237 

2 

7 

1.347 

1 

22 

3 

21 
2.740 

3 
345 


293 

24 


153 


Table  8. — Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1991 — Continued 


Cily  by  Stale 


Population 


Cnme 
Index 
total 


Modified' 
Cnme 
Index 
total 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


VIRGINIA— Continued 


Virginia  Beach 


Virginia  Beach  State  Police 

Waynesboro  

Williamsburg  

Winchester   

Winchester  State  Police   .... 


WASHINGTON 


Aberdeen  .. 

Auburn  

Bellevue   . . . 
Bellingham 


Bothell    

Bremerton  .. 
Centralia   . . . 
Des  Moines 
Edmonds  . . . 


Ellensburg  . 

Everett    

Kelso  

Kennewick 
Kent  


Kirkland    . 

Lacey  

Longview  , 
Lynnwood 
Marysville 


Mercer  Island  

Moses  Lake   

Mountlake  Terrace 

Mount  Vernon  

Oak  Harbor  


Olympia  

Pasco  

Port  Angeles 

Pullman   

Puyallup  


Redmond 
Renton   . . 
Richland 
Seattle  ... 
Spokane   . 


Sunnyside    , 
Tacoma    . . . 
Tukwila   . . 
Tumwater 
Vancouver 


Walla  Walla 
Wenalchee  . 
Yakima  


WEST  VIRGINIA 


399,334 


18,844 
11,713 
22,296 


Beckley  

Bluefield  . . 

Charleston 

Clarksburg 


1 7,080 
34,131 
89.574 
53,801 

12,728 
39,327 
12,477 
17,820 
31.699 

12,745 
72,136 
12,187 
43.465 
39.140 

41.297 
19.878 
32.478 
29,587 
10.649 

21.463 
11.584 
19.920 
18,195 
17,710 

34,892 
20,969 
18,260 
24,207 
24,617 

36,913 

42,984 

33,319 

532.418 

182,705 

11.587 
182.156 
12,243 
10,286 
47,821 

27,301 
22,432 
56,531 


18.372 
12,809 
57,646 
18,134 


23,398 

14 

839 

658 

1,914 

2 


1,973 
2,575 
4,996 
4,328 

579 
2.654 

941 
1.172 
1,113 

739 
5,399 
1,095 
3,716 

4,272 

2,347 
1,581 
1,645 
2,949 
644 

422 
1,381 
1,006 
1,445 

711 

2,604 
2,274 
1,401 
631 
1,958 

1,655 

4,278 

1,283 

65,208 

16,218 

1,171 

20,560 

3,353 

689 

3,105 

2,594 
2,017 
7,322 


981 

407 

6,837 

495 


23,617 

14 

851 

658 

1,919 

2 


1,979 
2,592 
5,041 
4,350 

588 
2,674 

944 
1,173 
1.114 

743 
5,485 
1,118 
3,721 
4,303 

2,347 
1,581 
1,651 
2,967 
644 

424 
1,385 
1.017 
1,457 

720 

2,607 
2,291 
1,419 
632 
1,974 

1,670 

4.282 

1.299 

65.493 

16,279 

1.179 

20.745 

3.375 

690 

3,127 

2,615 
2.020 
7,397 


983 

407 

6,906 

495 


27 


127 


10 
17 
12 
9 

25 
21 
23 
2 
15 

28 

23 

8 

398 

98 

4 

277 
33 
14 
38 

36 
20 
71 


512 


22 
51 
50 

37 

7 
67 

9 
22 
13 

4 

144 

12 

41 

86 

26 
11 
31 
48 
4 

3 
9 
11 
19 
2 

27 
49 


24 

20 

103 

4 

2,761 

372 

2 

1,100 

92 

3 
91 

28 

16 

156 


17 

9 

264 

9 


421 


36 

12 
216 


30 
103 
118 
109 

5 

155 

48 

14 

9 

17 

131 

34 

64 

75 

51 
41 

47 
58 
14 

5 
44 
22 
27 
16 

65 
147 
43 
63 

22 


97 

31 

4,019 

806 

97 

2.175 

118 

19 

247 

125 

65 

528 


19 
19 

377 
16 


4.162 


86 

33 

230 


343 
358 
687 
'568 

127 
430 
176 
192 
216 

126 
1.029 
178 
688 
885 

406 
199 
431 
358 
79 

69 
200 
152 
231 

74 

366 
402 
210 
87 
240 

258 

664 

208 

10.639 

3.298 

213 

3.752 
455 
156 
690 

541 

293 

1.322 


140 

97 

1.365 

104 


16.824 

10 

663 

554 

1.383 

2 


1,498 
1,800 
3,832 
3,368 

416 

1,735 
653 
809 
814 

554 
3,592 

787 
2,766 
2.782 

1.709 
1.272 
1.016 
2.280 
511 

331 
1,070 

756 
1,106 

605 

2,000 
1,544 
1.072 
464 
1,538 

1,247 

3,066 

996 

40,502 

10.916 

800 

11.677 

2.374 

467 
1,749 

1,783 
1,539 
4,916 


772 

266 

4.354 

334 


1.325 

2 
45 
38 
50 


61 
223 
281 
210 

20 
191 

47 
117 

49 

30 
411 

53 
123 
411 

131 

47 
98 
191 

27 

12 
47 
48 
50 
3 

121 
108 
44 
15 
119 

74 

323 

36 

6.846 

721 

55 

1,548 

278 

30 
290 

81 

82 
325 


26 

13 

419 

24 


154 


Table  8. — Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1991  -Continued 


Cjly  by  Stale 


Population 


Crime 
Index 
total 


Modified' 
Cnme 
Index 
total 


Murder 
and  non- 
negligenl 

man- 
slaughter 


Forcible 
rape 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


WEST  VIRGINIA— Continued 

Fairtnotlt    

Hunlinglotl  

Martinsburg  

Morgantown    

Moundsville  

Parkersburg 

St.  Albatis  

South  Charleston    

Vienna    ;  — 

Weirton    

Wheeling   

WISCONSIN 

Applelon    

Ashwaubenon    

Beaver  Datn    

Beloil  

Brookfleld  

Brown  Deer  

Caledonia    

Cedarburg  

Chippewa  Falls    

Cudahy  

De  Pere   

Eau  Claire    

Fitchburg  

Fond  du  Lac  

Fort  Atkinson  

Franklin   

Germanlown 

Glendale    

Green  Bay    

Greendale   

Greenfield  

Janesviile  

Kaukauna    

Kenosha  

La  Crosse    

Madison  

Manitowoc   

Marinette    

Marshfield    

Menasha    

Menasha  Town    

Menomonee  Falls  

Menomonie    

Mequon    

Middleton  

Milwaukee    

Monroe  

Mount  Pleasant  

Muskego    

Neenah   

New  Berlin    

Oak  Creek    

Oconomowoc    

Onalaska    


20,294 
55,073 
14,131 
25,987 
10,798 

.34,003 
11,240 
1 3,702 
10,907 
22,215 

35,028 


66,543 
16,587 
14,379 
36,032 

35,638 
12,394 
21,956 
10.022 
12,891 

18,900 
16.783 
57,590 
15,850 
38,245 

10,359 
22,137 
13,834 
14,270 
97,713 

15,323 
33,834 
52,807 
12,136 
81,390 

51,662 
193,735 
32,940 
11.996 
19,539 

14,901 
14,004 
27,187 
13,722 
19,129 

13,460 
636,342 
10,373 
21.032 
17,030 

23,519 
34,026 
19,765 
11,135 
11,429 


980 
4,301 
1,246 
1,317 

411 

1,2,30 
543 
480 
360 
634 

1,024 


2,857 

1,051 

880 

2,667 

1,524 
455 
517 
194 
429 

805 
670 

3,027 
564 

2,367 

482 

614 

575 

1,101 

4,982 

804 
1,623 
3,552 

428 
4,543 

3,353 
12,884 

1,815 
553 
758 

679 
352 
1,109 
910 
279 

554 
57,551 
382 
783 
252 

961 

718 
742 
363 
499 


995 
4,361 

1,257 

1,334 

412 

1,258 
543 
480 
360 
641 

1,028 


2,880 

1,051 

881 

2,688 


1,524 
455 
522 
194 
431 


806 
672 

3.056 
566 

2,379 

487 

617 

588 

1,101 

4,992 

806 
1.624 
3,591 

429 
4,578 

3,357 
12,949 

1,821 
554 
764 

683 
353 
1,112 
916 
279 

554 
57,970 
385 
786 
255 

969 

738 
744 
370 
499 


163 


14 


17 


14 


502 
5 
4 
1 

4 


21 

124 

26 

6 


48 


4 

1 

34 

37 

6 

27 

12 

3 

106 

13 

325 

4 

1 

3 

1 
1 
7 
1 
1 

1 

4,252 
3 
17 


44 

150 

65 

78 


8 

1 

10 

29 
21 
70 
6 
83 

5 
1 

6 

I 

283 


78 
10 
86 

II 

350 

33 

3 

24 

I 

3 
34 


5 

1,311 

6 

25 

1 

54 
27 
26 
20 
3 


184 

666 

988 

2,975 

1.39 

959 

2.30 

923 

90 

283 

274 

760 

109 

387 

98 

331 

21 

329 

116 

435 

367 


488 
40 
86 

352 

242 
67 

100 
10 
61 

128 
105 
546 
118 
208 

41 
117 

78 
116 
623 

22 
213 
591 

71 
854 

176 

2.273 

167 

34 

107 

156 

77 

289 

115 

67 

136 
9,431 

65 
152 

51 

137 
146 

80 
70 
49 


403 


2.291 
960 
754 

2,098 

1.131 
345 

354 
178 
333 

578 
527 

2,314 
394 

1,996 

412 
454 
472 
860 
3,809 

735 
1,234 
2,727 

327 
3.153 

3,033 

9,089 

1,560 

499 

605 

506 
254 
688 
763 
193 

403 

28,322 
286 
545 
191 

735 
504 
572 
251 
441 


53 

32 
57 
66 
35 

113 

37 

26 

7 

56 

115 


53 
22 
20 
116 

87 
34 
47 
5 
18 

45 
13 
84 
34 
58 

20 
33 
18 
87 
206 

36 
137 
123 

15 
298 

102 

752 
43 
15 
16 

14 
13 
91 
29 
16 

7 

13.570 

17 

40 


155 


Table  8. — Number  of  Offenses  Known  to  the  Police,  Cities  and  Towns  10,000  and  over  in  Population,  1991 — Continued 


City  by  Slate 


Population 


Crime 
Index 
total 


Modified* 
Cnme 
Index 
total 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


WISCONSIN— Continued 

Oshkosh   

Pleasant  Prairie  

Racine  

River  Falls  

Sheboygan  

Shorewood    

South  Milwaukee   

Stevens  Point    

Sun  Prairie  

Superior  

Two  Rivers    

Watertown    

Waukesha   

Wausau    

Wauwatosa  

West  Allis  

West  Bend   

Weston   

WhiteHsh  Bay    

Whitewater  

Wisconsin  Rapids    

WYOMING 

Casper  

Cheyenne  

Evanston    

Gillette   

Green  River    

Laramie    

Rock  Springs    

Sheridan  


55.717 
12,115 
85,387 
10,746 
50,318 

14.298 
21,228 
23,303 
15,531 
27,484 

13,198 
19,388 
57,694 
37,539 
50,004 

64,038 

24,225 
11.303 
14.456 
12.799 

18.480 


47.402 
50.748 
11.057 
17.884 

12.890 
27.064 
19.319 
14.096 


3,400 
452 

8,072 
472 

3,229 

502 
814 

1,808 
710 

2,216 

552 

801 

2,338 

1,959 

2,368 

3,439 

1,129 

380 

259 

457 

1,101 


3,342 

3,201 

563 

1,170 

466 
1,089 

1,372 
511 


3,412 
453 

8,124 
474 

3,280 

502 
824 

1.816 
716 

2,216 

553 

801 

2.350 

1.966 

2.382 

3.478 

1.134 

381 

259 

461 

1.103 


3,383 

3,206 

563 

1,187 

476 
1,091 

1.374 
519 


15 

1 

377 

1 

19 

25 
4 
3 
1 

14 

4 

5 

18 


72 

16 

446 

2 

64 

23 
23 
35 
II 
11 

3 

5 
127 
22 
26 

166 

25 
5 
6 

7 

48 


221 
62 
22 

128 

22 

43 

117 

10 


387 

47 

1,644 

36 

424 

130 
139 
214 
85 
391 

73 
118 
215 
181 
377 

497 
78 
70 
30 

54 

150 


2,828 
366 

4,547 
414 

2,622 

290 
602 

1,519 
583 

1,670 

446 

639 

1,840 

1,687 

1,637 

2,457 

1,001 

285 

214 

379 

873 


734 

2,242 

304 

2,714 

85 

427 

89 

920 

72 

350 

136 

863 

265 

924 

56 

422 

87 

22 

1,015 

16 


34 
40 
27 
23 
115 

25 
30 

119 
54 

241 

253 

22 

20 

6 

14 


25 


119 

85 
26 

27 

19 
36 

55 
16 


12 
1 

52 
2 

51 


10 
8 
6 


12 
7 
14 

39 
5 
1 


41 

5 


10 

2 


'Aggravated  assault  figures  are  not  comparable  to  prior  years  due  to  a  change  in  reporting  procedures. 

^Forcible  rape  figures  furnished  by  the  state-level  Uniform  Crime  Reporting  (UCR)  Program  administered  by  the  Illinois  Department  of  State  Police  were  not  in  accordance  with  national  UCR 
guidelines.  Therefore,  the  figures  were  excluded  from  the  forcible  rape.  Crime  Index  total,  and  Modified  Crime  Index  total  categones, 

'Data  for  1991  were  not  available  for  the  State  of  Iowa;  therefore,  it  was  necessary  that  their  crime  counts  be  estimated-  See  "Offense  Estimation."  page  377  for  details. 
*I991  arson  data  are  not  comparable  to  prior  years. 
M991  data  are  not  comparable  to  prior  years. 


156 


Table  9. — Number  of  Offenses  Known  to  the  Police,  Universities  and  Colleges,  1991 

•  Anon  IS  shown  onl>  if  12  months  of  arson  dala  were  received    Leaders  (    )  indicate  zero  data 


University/College 


Student 
enroll- 
ment' 


Violent- 
crime 
total 


Violent  Cnme 


Murder 
and  non- 
ne^igent 

man- 
slaughter 


Forcible 
rape 


Aggra- 
vated 
assault 


Property' 
cnme 
total 


Property  Cnme 


Burglary 


Larceny- 
then 


Motor 
vehicle 
theft 


ALABAMA 

Alabama  State  University   

Auburn  University; 

Main  Campus    

Montgomery    

Enterprise  State  Junior  College   

Jacksonville  State  University  

Troy  State  University    

University  of  Alabama,  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: 

Fayelteville    

Little  Rock    

Medical  Science    

Pine  Bluff    

CALIFORNIA 

Cabrillo  College  

California  State  Polytechnic  University: 

Pomona  

San  Luis  Obispo    

California  State  College.  Bakersfield  ... 
California  State  University: 

Chico    

Domlnguez  Hills    

Fresno    

Fullenon  

Hayward   

Long  Beach  

Los  Angeles  

Northndge   

Sacramento    

San  Bernardino  

San  Jose    

Stanislaus   

College  of  (he  Sequoias   

Contra  Costa  College  

Foothill  College  

Fresno  City  College    

Humboldt  State  University    

Kings  River  Community  College    

Marin  Community  College  

Merced  College    

Pasadena  City  College  

San  Francisco  State  University    

San  Jose/Evergreen  Valley    

Community  College  District   

Santa  Rosa  Junior  College   

Sonoma  State  University  

University  of  California: 

Berkeley  

Davis    

Irvine    

Lawrence  Berkeley  Laboratory  

Lawrence  Livermore  Laboratory  

Los  Angeles  


4.587 

21.537 
6.261 
2.108 
8.448 
5.024 
19.794' 
3.250 

11.584 


42.936 
4.911 
16.992 
28.766 
35.729 
6.003 


14,732 

11.232 

1,408 

3,672 


12,075 

17,905 
15.912 
4.650 

14.979 
7.460 
17.467 
23.376 
11.757 
33.179 
17.960 
29.401 
23.478 
9.154 

4.822 

7.839 

6.634 

12.811 

14.710 

6.135 

3.078 

9.817 

6.854 

19.581 

24.138 


20,475 
6,129 

30.634 
23.890 
16.808 


36.420 


23 


44 

418 

72 

4 

108 
76 

556 
24 
90 


1.293 

67 

599 

174 

1,182 

54 


350 
86 
169 
129 


76 

525 

458 

84 

402 

113 

520 

514 

190 

490 

543 

760 

371 

196 

522 

88 

61 

350 

103 

300 

267 

73 

61 

73 

239 

581 

216 

273 
168 

1,755 

1,556 

804 

68 

50 

1,615 


12 


110 


50 
52 
24 

21 
49 
47 
23 

9 
46 

5 
64 
27 
56 
52 

3 
37 
33 

5 
12 

6 
15 
II 

3 

2 
25 

11 
19 
16 

190 
58 
87 


39 

408 

67 

4 

93 

71 

518 
20 
85 


114 

1.132 

8 

59 

22 

567 

20 

144 

187 

950 

3 

51 

587 


302 
79 

163 
19 


41 

420 

400 

56 

372 

44 

438 

461 

172 

377 

427 

625 

297 

116 

463 

83 

22 

277 

97 

233 

257 

57 

49 

70 

200 

459 

192 
254 
149 

1,499 

1.458 

684 

59 

50 

851 


3 
3 
12 

2 


10 
10 

45 


II 
1 
6 


55 
6 
4 

9 

20 

35 

30 

9 

67 

111 

71 

47 

24 

7 

2 

2 

40 

1 

55 

4 

1 

I 


37 
97 


13 
3 


66 

40 

33 

1 


177 


See  footnotes  at  end  of  table. 


157 


Table  9. — Number  of  Offenses  Known  to  the  Police,  Universities  and  Colleges,  1991 — Continued 


University/College 


StudenI 
enroll- 
ment' 


Violenl- 
cnme 
total 


Violent  Crime 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Property' 
crime 
total 


Property  Crime 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


CALIFORNIA— Continued 

Riverside    

Sacramento    

San  Diego    

San  Francisco  Medical  School  

Santa  Barbara    

Santa  Cruz    

West  Valley  College   

COLORADO 

Adams  Stale  College 

Arapahoe  Community  College    

Auraria  Higher  Education  Center    

Colorado  School  of  Mines    

Colorado  State  University    

Red  Rocks  Community  College    

University  of  Colorado: 

Boulder    

Colorado  Springs   

Health  Sciences  

University  of  Denver  

University  of  Northern  Colorado  

University  of  Southern  Colorado   

CONNECTICUT 

Central  Connecticut  State  University  .. 
Eastern  Connecticut  State  University  .. 
Southern  Connnecticut  State  University 
University  of  Connecticut: 

Avery  Point    

Health  Center    

Storrs    

Western  Connecticut  State  University  . 
Yale  University  

DELAWARE 

University  of  Delaware    

FLORIDA 

Florida  Atlantic  University    

Florida  State  University: 

Tallahassee 

Pinellas  County  Campus  

University  of  Florida  

University  of  Central  Florida  

University  of  South  Florida: 

Sarasota  

Tampa    

University  of  West  Florida    

GEORGIA 

Agnes  Scott  College    

Albany  State  College    

Armstrong  State  College    

Augusta  College  

Cherokee  College    

Clayton  State  College    

Georgia  Southern  Technical  Institute  .. 

Georgia  Southern  University  

Georgia  Southwestern  College    

Georgia  State  University   

Kennesaw  State  College   

Medical  College  of  Georgia  

Mercer  University    

Southern  Georgia  College    


8,708 

4 

17.790 
3,812 
18,385 
10.054 
12,595 


5,235 
7,470 

4 

2,865 

26,828 

6,477 

28,600 
6,646 
1,805 
7,534 

12,413 
4,365 


13,798 

4,475 
13.612 


483 

25,497 

6,245 

10,994 


20,818 


12.767 
28.170 


35,477 
21.541 


7,877 


593 
2.405 
4,170 
5,185 

4 

4,140 

4 

12.249 
2.225 
23.336 
10.018 
2,426 
5.868 
1,107 


20 


10 


389 
297 
804 
740 
833 
409 
126 


95 
54 

377 
34 

702 
9 

977 
22 
300 
205 
344 
75 


907 


333 


12 

774 

10 

269 

22 

1.477 

7 

207 

2 

67 

27 

655 

4 

132 

32 
39 
46 
49 
12 
45 
27 

331 
35 

442 
26 

279 

81 

9 


5 

6 
42 

4 
64 

I 

186 

I 

15 

62 

45 

4 


171 

-) 

126 

18 

121 

10 

•>3 

164 

13 

520 

135 

76 

17 

978 

280 

46 


300 
265 
643 
630 
749 
340 
84 


89 
47 

329 
28 

629 


777 
21 
279 
133 
297 
71 


157 
106 
111 

22 
145 
380 

57 
648 


8.30 


287 


75 

682 

4 

265 

78 

1.335 

29 

175 

7 

57 

48 

562 

13 

116 

28 
24 
35 
43 
12 
22 
11 

309 
21 

415 
20 

261 

67 

7 


45 

21 

97 

33 

7 

3 

3 


6 
10 
2 


1 
6 

5 

2 

50 


46 

17 


64 

3 

3 

45 

3 


See  footnotes  at  end  of  table 


1S8 


Table  9.— Number  of  Offenses  Known  to  the  Police,  Universities  and  Colleges,  1991 — Continued 


University/College 


Student 
enroll- 
ment 


Violent- 
cnmc 
total 


Violent  Cnme 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Property' 
cnme 
total 


Property  Cnme 


Burglary 


Larceny- 
thef) 


Motor 
vehicle 
theft 


GEORGIA— Continued 

University  of  Georgia    

Valdosta  State  College    

West  Georgia  College    

ILLINOIS' 

Black  Hawk  College  

Chicago  State  University  

College  of  DuPage  

Eastern  Illinois  University    

Illinois  State  University   

Joliet  Junior  College    

Lake  County  College   

Motion  College   

Northeastern  Illinois  University    . 

Northern  Illinois  University    

Southern  Illinois  University; 

Carbondale    

Edwardsville   

Triton  College    

University  of  Illinois: 

Chicago   

Urbana  

Western  Illinois  University    

William  Rainey  Harper    

INDIANA 

Ball  State  University    

Indiana  University: 

Bloomington   

Gary    

Indianapolis    

New  Albany    

Purdue  University   

IOWA* 


KANSAS 

Emporia  State  University    

Fort  Hays  State  University    

Kansas  State  University,  Manhattan 

Pittsburg  Stale  University  

University  of  Kansas: 

Lawrence    

Medical  Center  

Wichita  State  University   

KENTUCKY 

Eastern  Kentucky  University  

Kentucky  State  University    

Morehead  State  University  

Murray  State  University    

Northern  Kentucky  University  

University  of  Kentucky    

University  of  Louisville    

Western  Kentucky  University  

LOUISIANA 

Louisiana  State  University,  Baton 

Rouge   

Louisiana  Tech.  University    

McNeese  Slate  University  

Northeast  Louisiana  University  — 
Southeastern  Louisiana  University  . 

See  footnotes  at  end  of  table. 


28. .195 
7.144 
7.068 


5.811 

7.152 

29.185 

11.116 

22.662 

9.645 

4 

4.195 

10.453 
24.509 

24.078 
11.686 
16.759 

24.959 
38.163 
13,747 
16,509 


20.343 

35,451 
5.075 
2.053 
5.642 

37.588 


6,072 

5,500 

21,137 

5,912 

26,434 

2,473 

16.151 


15.290 

2,506 

8,605 

8,079 

11.254 

22.538 

22.979 

15.170 


26.112 
10.004 
7,671 
10,686 
10,262 


27 


16 


15 


870 
204 
191 


43 

113 

164 

235 

700 

53 

86 

41 

193 

664 

749 
255 
186 

1,344 

866 

497 

70 


994 

1,209 

58 

712 

55 

1,240 


156 
84 

504 
97 

767 
282 
221 


303 
4 
220 
79 
124 
973 
453 
270 


826 
233 
120 
223 
114 


14 

25 

122 

3 

1 


29 
123 


114 
13 


31 

134 

14 


73 


76 

23 

197 

30 

123 

13 

25 


783 
159 
151 


40 

106 

150 

209 

563 

50 

84 

40 

158 

524 

629 
234 
175 

1,233 

714 

481 

69 


904 


32 

945 

1 

51 

10 

663 

1 

53 

21 

1,203 

79 
60 

307 
67 

635 
265 
189 


283 
3 
154 
68 
118 
892 
417 
260 


697 
203 
104 

215 
108 


31 
I 

2 


1 
15 


I 

I 

6 

17 

6 
8 
3 

80 

18 

2 

1 


17 

32 
6 

39 
I 

16 


16 
6 
4 


30 

2 


159 


Table  9. — Number  of  Offenses  Known  to  the  Police,  Universities  and  Colleges,  1991 — Continued 


University/College 


Student 
enroll- 
ment' 


Violent- 
cntne 
total 


Violent  Cnme 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Property^ 
cnme 
total 


Property  Cnme 


Bursary 


Larceny- 
thefl 


Motor 
vehicle 
theft 


LOUISIANA— Continued 

Southern  University,  Baton  Rouge    . . 

MAINE 

University  of  Maine,  Orono    

University  of  Southern  Maine    

MARYLAND 

Bowie  State  University  

Coppin  State  University    

Frostburg  State  University    

Morgan  State  University    

Saint  Mary's  College    

Salisbury  Stale  University  

Towson  State  University   

University  of  Baltimore   

University  of  Maryland: 

Baltimore  City  

Baltimore  County    

College  Park  

Eastern  Shore  

MASSACHUSETTS 

Boston  College  

Boston  University    

Brandeis  University    

Framingham  State  College    

Massachusetts  Institute  of  Technology 

North  Adams  State  College   

Northeastern  University   

Salem  State  College    

Wentworth  Institute  of  Technology  .. 

MICHIGAN 

Central  Michigan  University  

Delta  College    

Eastern  Michigan  University  

Ferris  State  University    

Grand  Valley  State  University  

Hope  College    

Lansing  Community  College    

Macomb  Community  College    

Michigan  State  University    

Michigan  Technological  University    .. 

Northern  Michigan  University   

Oakland  University  

Saginaw  Valley  State  University   

University  of  Michigan,  Ann  Arbor  . 
Western  Michigan  University   

MINNESOTA 

University  of  Minnesota    

MISSISSIPPI 

Mississippi  State  University 

University  of  Mississippi  

MISSOURI 

Central  Missouri  State  University    ... 

Lincoln  University  

University  of  Missouri: 

Columbia    

St.  Louis  


8,941 


13,278 
10,487 


4,188 
2,578 
5,019 
4,693 
1,568 
5,734 
15,035 
5,770 

4,727 
10,146 
34,829 

2,067 


14,506 
27,996 
3,791 
6,678 
9,628 
2,421 
30,510 
9.810 
3,902 


18,286 
11,114 
25,011 
12,037 
11,725 

2,813 
22,343 
31,538 
44,307 

6,497 

8,500 
12,400 

6,179 
36,391 
26,989 


57,168 


14,391 
11,288 


11,429 
3,619 


25,058 
15.393 


23 


22 


10 


365 


396 
115 


81 

59 

80 

279 

76 

223 

485 

150 

640 
306 

1.673 
86 


13 

349 

22 

1,002 

7 

105 

3 

40 

9 

879 

9 

30 

10 

529 

23 

113 

2 

75 

439 
89 
634 
434 
90 
235 
210 
194 

1,848 
184 
180 
144 
112 

2,392 
595 


1,454 


386 
316 


239 
62 


699 
103 


10 


35 
8 
6 
4 
3 
5 

342 
9 
8 
I 
9 

221 
25 


117 


68 
108 


333 


386 
112 


28 

53 

9 

48 

74 

124 

152 

II 

65 

17 

200 

73 

400 

136 

18 

621 

58 

236 

259 

1,355 

9 

77 

425 
88 
578 
418 
84 
230 
207 
176 

1.435 
174 
172 
132 
101 

2,134 
549 


1,327 


314 
206 


43 

194 

8 

54 

113 

579 

4 

95 

29 

300 

20 

146 

816 

40 

10 

90 

5 

■> 

38 
786 

27 

66 

8 

22 

39 

480 

10 

74 

38 

1 

7 

66 

2 

10 


See  footnotes  ai  end  of  table. 


160 


Table  9. — Number  of  Offenses  Known  to  the  Police.  Universities  and  Colleges,  1991 — Continued 


Univcrsily/Coliege 


Studenl 
enroll- 
ment' 


Violent- 
crime 


Violent  Cnme 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Aggra- 
vated 
assault 


Property' 
cnme 
total 


Properly  Cnme 


Burglary 


Larceny- 
then 


Motor 
vehicle 
theft 


MISSOURI— Continued 

Washington  University    

NEBRASKA 


University  of  Nebraslca,  Lincoln  

NEVADA 

University  of  Nevada: 

Las  Vegas  

Reno  

NEW  HAMPSHIRE 

University  of  New  Hampshire  

NEW  JERSEY 

Brookdale  Community  College  

Burlington  County  College   

Essex  County  College    

Glassboro  State  College    

Kean  College    

Middlesex  County  College    

Monmouth  College    

Montclair  State  College    

New  Jersey  Institute  of  Technology  .. 
Rutgers  University: 

Camden  

Newark    

New  Brunswick  

Stockton  State  College    

Trenton  State  College 

University  of  Medicine  and  Dentistry: 

Camden  

Newark    

Piscataway   

William  Paterson  College    

NEW  MEXICO 

Eastern  New  Mexico  University   

New  Mexico  State  University  

University  of  New  Mexico  

NEW  YORK 

Cornell  University   

Ithaca  College  

State  University  of  New  York 

Albany    

Binghamton  

Buffalo   

Maritime  College   

Stony  Brook    

Upstate  Medical  Center  

State  University  of  New  York 
Agricultural  and  Technical  College; 

Alfred   

Canton  

Cobleskill   

Delhi  

Farmmgdale    

Morrisville   

Stale  University  of  New  York  College: 

Brockport    

Buffalo  

Cortland 

Environmental  Science  and  Forestry 

See  footnotes  at  end  of  table. 


1  1.498 


24.453 


17,937 
11.487 


1 3,260 


11,885 
6,710 
6,706 
9,668 

13,303 

11,019 
4,274 

13,067 
7,667 

5,328 
9,336 
33,016 
5,639 
7,403 


10,036 


3,619 
14,812 
23,950 


11,533 
6.432 

1 7,400 
12,202 
27.638 
821 
17.624 


3,700 
2,662 


2,374 
11,102 


9,661 

12.952 

7.238 

1.715 


12 


10 


208 


331 
359 


309 


93 

12 

29 

119 

251 

90 

165 

391 

280 

171 
234 
1.043 
139 
269 

11 

677 
100 
190 


115 
503 

831 


765 
196 

670 
389 
681 
27 
1.049 
329 


171 
144 

84 
114 
140 

95 

198 

501 

178 

19 


74 


103 
130 


54 


114 
6 

163 

72 
137 

11 
307 


168 


734 


202 

224 


250 


89 

12 

23 

93 

168 

82 

144 

304 

237 

143 
206 
946 
130 
226 

4 

577 
78 
180 


85 
447 
755 


648 
190 

503 
317 
517 
16 
713 
325 


114 
142 
51 
82 
86 
78 

155 

396 

168 

18 


33 


10 


26 
5 


6 

5 

38 

8 

2 

48 

34 

18 
8 

55 
1 

11 

2 
81 

2 
2 


2 
17 
31 


4 

27 


29 

2 


4 
13 


161 


Table  9. — Number  of  Offenses  Known  to  the  Police,  Universities  and  Colleges,  1991 — Continued 


University/College 


Student 
enroll- 
ment' 


Violenl- 
cnme 
total 


Violent  Crime 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Property^ 
crime 
total 


Property  Crime 


Burglary 


Larceny- 
theft 


Motor 

vehicle 
theft 


NEW  YORK— Continued 

Fredonia   

Geneseo  

New  Paltz    

Old  Westbury    

Oneonta  

Oplomelry    

Oswego    

Plattsburgh  

Potsdam    

Purchase    

Utica-Rome  

NORTH  CAROLINA 

Davidson  College   

East  Carolina  University   

Elizabeth  City  State  University   

Fayelteville  State  University    

North  Carolina  A  &  T  University  ... 
North  Carolina  Central  University  ... 
North  Carolina  School  of  the  Arts  . . . 
North  Carolina  State  University, 

Raleigh   

Pembroke  State  University  

Queens  College    

University  of  North  Carolina: 

Asheville   

Chapel  Hill    

Charlotte  

Greensboro    

Wilmington    

Western  Carolina  University  

Winston-Salem  Slate  University    

NORTH  DAKOTA 

University  of  North  Dakota    

OHIO 

Baldwin  Wallace  College   

Bowling  Green  Stale  University    

Cleveland  Stale  University  

Kent  State  University    

Lakeland  Community  College  

Miami  University  

Ohio  Stale  University   

Ohio  University    

University  of  Akron  

University  of  Cincinnati    

University  of  Toledo   

Wright  State  University   

Youngstown  State  University    

OKLAHOMA 

Cameron  University   

Central  State  University    

Murray  State  College  

Northeastern  Oklahoma  State 

University  

Oklahoma  State  University    

Oklahoma  State  University.  Okmulgee 

Southeastern  State  University  

Tulsa  Junior  College    

University  of  Oklahoma: 

Health  Science  Center    

Norman  


5,041 
5,599 
8,610 
4,260 
6,317 
286 
8,942 
6,543 
4,830 
4,619 


1,508 

17,564 

1,746 

3.337 

6,595 

5.482 

486 

27.199 
3.133 
1.579 

3,271 

23,878 

14,699 

12,882 

7.567 

6.411 

2.517 


11.659 


4.870 
18.657 
19.214 
24.434 

8.806 
15.835 
54,087 
18,505 
27,818 
31,013 
24,691 
16,393 
15,454 


5.276 

14,232 

1,251 

8,849 

19.827 

2,118 

3,971 

17,955 

2,818 

20,774 

16 


129 
177 
181 

78 
112 

12 
207 
142 
171 
187 


16 


300 


57 
502 
405 
555 
66 
583 

1,950 
302 
592 

1,222 
397 
312 
267 


49 

136 

8 

195 
327 
65 
61 
64 

24 
849 


142 

42 

559 

104 

36 

24 

91 

18 

196 

25 

92 

21 

878 

155 

57 

7 

47 

13 

68 

19 

804 

252 

390 

71 

275 

39 

379 

29 

144 

9 

29 

6 

18 
422 

48 

54 

199 

8 

25 


120 
174 
168 

56 
111 

12 
195 
123 
171 
165 
7 


97 
445 

12 

72 
164 

66 
1 

707 
47 
31 

48 
546 
313 
234 
348 
135 

21 


292 


37 
418 
343 
538 
66 
563 

1,487 
252 
528 

1,017 
378 
281 
245 


43 

113 

3 

136 

254 
52 
55 
62 

22 
722 


15 


3 
10 


16 

3 
3 

1 
6 
6 

2 
2 


2 

5 

50 

5 


2 
41 

2 
10 

6 
11 

6 
14 


25 


See  footnotes  at  end  of  table. 


162 


Table  9. — Number  of  Offenses  Known  to  the  Police,  Universities  and  Colleges.  1991 — Continued 


Univereily/College 


Student 
enroll- 
ment' 


Violent- 
cnme 
total 


Violent  Cnme 


Murder 
and  non- 
negligenl 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Properly' 
crime 
total 


Property  Crime 


Bursary 


Larceny- 
■    theft 


Motor 
vehicle 
theft 


PENNSYLVANIA 

Cheytiey  University  

Clarion  University  

Edinboro  University  

Elizabcthtown  College   

Indiana  University    

Kutztown  University  

Lehigh  University    

Lock  Haven  University    

Mansfield  University    

Millersville  University  

Pennsylvania  State  University: 

Altoona  Campus    

Behrend  College   

University  Park    

Shippensburg  University    

Slippery  Rock  University    

University  of  Pittsburgh.  Bradford  . . 
West  Chester  University    

RHODE  ISLAND 

University  of  Rhode  Island   

SOUTH  CAROLINA 

Clemson  University    

Francis  Marion  College    

Lander  College  

Medical  University  of  South  Carolina 

Trident  Technical  College  

University  of  South  Carolina: 

Aiken    

Coastal  Carolina  

Columbia    

Spartanburg  

Winlhrop  College  

SOUTH  DAKOTA 

South  Dakota  State  University    

TENNESSEE 

Austin  Peay  State  University    

East  Tennessee  State  University   

Middle  Tennessee  Slate  University  .. 
University  of  Tennessee: 

Knoxville    

Martin    

Memphis  

TEXAS 

Alamo  Community  College    

Alvin  Community  College    

Amanllo  College  

Angelo  State  University  

Austin  College    

Baylor  University  

College  of  the  Mainland    

Corpus  Christi  State  University    

Eastfield  College   

East  Texas  State  University  

Hardin-Simmons  University    

Lamar  University 

Laredo  Junior  College  

McLennan  Community  College    

Midwestern  Slate  University  

North  Harris  County  College   


1.738 
6.618 
8,131 
1.806 
14,398 
7.742 
6,647 
3,520 
3,182 
7,789 

2.509 
2,987 

38,864 
6,592 
7,825 
1,204 

12,076 


16,047 


15,714 
3,886 
2,309 
1,781 
6,939 

2,966 
4,080 
25,613 
3.501 
5.104 


8,551 


6,347 
11,590 
14.865 

26,055 
5,363 
1,785 


3,787 
5,949 
6,298 
1,230 

12,014 
3.540 
3.801 
9.525 
7.840 
1.930 

11.489 
5,123 
5,614 
5,508 

15,653 


10 


48 
105 
147 

31 
207 
109 
217 

71 

64 
127 

49 

54 
1.009 

74 
142 

21 
195 


306 


493 
58 
39 

737 
23 

15 
53 

728 
30 

100 


185 


119 

204 
269 

807 
128 
221 


488 
26 
67 
76 
55 

246 
62 
19 
85 

169 
42 

226 
90 
II 
87 
48 


29 


25 


9 

117 

2 

I 


10 


42 
105 
141 

29 
186 
106 
193 

71 

59 
124 

46 

45 
908 

71 
141 

21 
161 


268 


434 
45 
30 

687 
21 

15 
44 
560 
28 
96 


134 


101 
193 

224 

753 
110 
194 


415 
26 
61 
65 
48 

192 
60 
17 
84 

143 
32 

194 

74 

9 

68 

41 


13 


12 

2 


51 
3 


1 

3 
13 


2 
22 


63 


See  footnotes  at  end  of  table 


163 


Table  9. — Number  of  Offenses  Known  to  the  Police,  Universities  and  Colleges,  1991 — Continued 


Universily/College 


Student 
enroll- 
ment' 


Violent- 
cnme 
total 


Violent  Crime 


Murder 
and  non- 
ne&ligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Property^ 
crime 
total 


Property  Cnme 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


TEXAS — Continued 

Noilh  Lake  College    

Prairie  View  A  &  M  University  

Rice  University 

Richland  College    

Saint  Mary's  University   

Soutliern  Methodist  University    

South  Plains  College    

Southwestern  University  

Southwest  Texas  State  University    

Stephen  F.  .Austin  State  University 

Sul  Ross  Slate  University  

Tarleton  State  University    

Texas  A  .&  M  University: 

College  Station    

Galveston   

Texas  Arts  &  Industries  University    .. 

Texas  Christian  University  

Texas  College  Osteo.  Med 

Texas  Southern  University  

Texas  State  Technical  Institute: 

Amarillo 

Waco  

Texas  Tech.  University; 

Health  Science  Center    

Lubbock    

Texas  Woman's  University    

Trinity  University    

Tyler  Junior  College  

University  of  Houston: 

Central  Campus    

Clearlake  

Downtown  Campus    

University  of  North  Texas  

University  of  Texas: 

Arlington  

Austin  

Dallas  

El  Paso    

Galveston  

Health  Science  Center.  San  Antonio 

Health  Science  Center.  Tyler   

Houston  

Pan  American    

Permian  Basin  

San  Antonio   

Southwest  Medical  School    

Tyler   

West  Texas  State  University  

UTAH 

Brigham  Young  University  

Salt  Lake  Community  College    

Southern  Utah  State  College  

University  of  Utah    

Utah  State  University   

Utah  Valley  Community  College    

Weber  State  University    

VERMONT 

University  of  Vermont    

VIRGINIA 

Christopher  Newport  College    

College  of  William  &  Mary  

George  Mason  University  

Hampton  University  


6,283 

4,990 

4.266 

12.567 

4.045 

8.798 

5.142 

1.208 

20,940 

12,815 

2.265 

6,250 

41.171 
1.075 
6,014 
6,458 

372 
9,427 

657 
3,803 

889 

25,363 

9,850 

2.536 

7.950 

33,115 
7,562 
7,621 

27.160 

24,782 

49,617 

8.558 

16.524 

4 

2.456 
3.016 


2.041 
15,489 
1,529 
3,725 
6,193 


31,662 
13,344 

4 

24,922 

15,155 

7,879 

1  3,449 


11,076 


4,861 

7,672 

20,308 

5.305 


36 
226 
220 
114 

84 
313 

26 

20 
487 
388 

33 
141 

819 
3 

148 
94 
49 

188 

44 
306 

178 
700 

49 
215 

83 

649 

34 

109 

408 

527 
1.071 

65 
187 
156 

67 

39 
329 
166 
8 
111 
278 

18 
102 


479 
117 

72 
828 
280 
185 

89 


550 


20 

192 
584 

78 


62 
26 

1 
16 
24 

7 

5 

119 

55 

8 
47 

fl5 


127 

15 

52 

9 

26 


34 

157 

172 

104 

47 

270 

19 

14 

355 

326 

25 

94 

682 
3 

III 
67 
43 

133 

37 
218 

177 
567 

30 
153 

71 

571 
33 
94 

336 

479 

983 

64 

162 

143 

63 

37 

310 

122 

8 

107 

272 

18 

83 


464 
106 

56 
780 
266 
181 

84 


538 


20 
172 
511 

44 


2 

7 

22 

9 

21 

19 


1 
13 

7 


22 


2 
16 

1 
6 

1 
6 
4 
10 
3 

52 
1 
3 
4 

22 
42 


19 
6 


7 
3 
2 
12 
4 


Sec  footnotes  at  end  of  table. 


164 


Table  9. — Number  of  Offenses  Known  to  the  Police,  Llniversities  and  Colleges,  1991 — Continued 


University/College 


Student 
enroll- 
menl' 


Violent- 
crime 
total 


Violent  Crime 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Aggra- 
vated 
assault 


Property' 
cnmc 
total 


Propeny  Crime 


Burglary 


Larceny- 
then 


Motor 
vehicle 
theft 


VIRGINIA— Continued 

Jame:,  Madison  University   

Longwood  College    

Mar>'  Washington  College  

Norfolk  State  University    

Northern  Virginia  Community  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  Stale  University  

Virginia  Western  Community  College 

WASHINGTON 

Central  Washington  University    

Eastern  Washington  University   

University  oi'  Washington   

Washington  State  University  

Western  Washington  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   

La  Crosse  

Madison    

Milwaukee   

Oshkosh  

Parkside    

Platleville  

Stout    

Whitewater    

WTOMING 

University  of  Wyoming    


11,251 

3,329 

3,744 

8,008 

35,194 

16.729 

8,990 

7,740 

4,859 

21.110 

21,764 

25.568 
3,988 
6.975 


7.696 

8.402 

33,854 

18,412 

9,730 


2,651 
2,238 

12.407 
2,386 
4,834 
2,898 

20.854 


10.941 

5.137 

9.118 

43.209 

26.020 

11.740 

5.308 

5.465 

7.629 

10.820 


12,517 


236 
72 
123 
183 
236 
385 
171 
18 
202 
503 
795 

570 
88 
19 


334 
130 
1.054 
517 
249 


25 
12 

144 
27 
45 
12 

503 


146 
61 
116 
1.208 
494 
152 
135 
125 
255 
152 


292 


17 

5 

212 

60 

23 


46 


229 
70 
120 
138 
227 
364 
166 
18 
185 
491 
759 

518 
80 
19 


315 
122 
814 
450 
219 


24 
10 

134 
21 
45 
12 

454 


1 

145 

3 

58 

22 

92 

73 

1 ,093 

25 

466 

4 

147 

1 

134 

2 

123 

8 

247 

18 

132 

274 


'The  sludeni  enrollment  figures  provided  by  the  United  Slates  Department  of  Education  are  for  1990.  the  most  recent  year  available.  The  enrollment  figure  mcludes  full-time  and  part-time 
students,  See  Appendix  I  for  details. 

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

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

'Student  enrollment  figures  were  not  available 

^Forcible  rape  figures  furnished  by  the  state-level  Uniform  Crime  Reporting  (UCR)  Program  administered  by  the  Illinois  Department  of  State  Police  were  not  in  accordance  with  national  UCR 
guidelines    Therefore,  the  figures  were  excluded  from  the  forcible  rape  and  violent  crime  total  categories. 

*Data  for  1991  were  not  available  for  the  State  of  Iowa;  therefore  it  was  necessary  that  their  crime  counts  be  estimated.  See  "Offense  Estimation,"  page  for  377  details. 

NOTE:  Caution  should  be  exercised  in  making  any  inier-campus  comparisons  or  ranking  schools,  as  university/college  crime  statistics  are  affected  by  a  variety  of  factors.  These  include: 
demographic  characteristics  of  the  surrounding  community,  ratio  of  male  to  female  students,  number  of  on-campus  residents,  accessibility  of  outside  visitors,  size  of  enrollment,  etc. 


165 


Table  10. — Number  of  Offenses  Known  to  the  Police,  Suburban  Counties,  1991 

[The  data  shown  in  this  table  do  not  reflect  county  totals  but  are  the  number  of  offenses  reported  by  the  shenfTs  office,  county  police  department,  or  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  Cnme  IndexSee  footnotes  at  end  of  table. 

offenses,  including  arson. 


County  by  State 


Crime 
Index 
Iota! 


Modified* 
Crime 
Index 
total 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbei7 


Aggra- 
vated 
assault 


Burglai7 


Larceny- 
theft 


Motor 

vehicle 

theft 


ALABAMA 

Autauga    

Baldwin    

Blount  

Calhoun  

Colbert   

Dale  

Elmore    

Etowah   

Houston  

Jefferson    

Lauderdale  

Lawrence  

Madison  

Montgomery    

Morgan  

Russell    

St.  Clair  

Shelby  

Tuscaloosa    

Walker    

ARIZONA 

Maricopa  

Pima    

ARKANSAS 

Crawford   

Crittenden    

Faulkner    

Jefferson    

Lonoke   

Miller    

Pulaski    

Saline    

Sebastian  

Washington    

CALIFORNIA 

Alameda    

Alameda  Highway  Patrol    ... 

Alameda  State  Police    

Bulle    

Butte  Highway  Patrol    

Butlc  State  Police    

Contra  Costa    

Contra  Costa  Highway  Patrol 
Contra  Costa  State  Police    . . 

El  Dorado    

El  Dorado  Highway  Patrol    . 

Fresno  

Fresno  Highway  Patrol  

Fresno  Stale  Police  

Kern 

Kern  Highway  Patrol    

Kern  State  Police    

Los  .Angeles  

Los  Angeles  Highway  Patrol 

Los  Angeles  State  Police  

Marin    

Marin  Highway  Patrol    

Merced   

Merced  Highway  Patrol   

Merced  State  Police   

Monterey  

Monterey  Highway  Patrol  ... 
Napa  


311 

1.381 

545 

306 

217 

18 

828 

629 

461 

6,951 

411 

368 

1,537 

1,018 

631 

449 

486 

699 

2,054 

411 


5,984 
11,381 


315 
551 
479 
577 
183 
469 
3,114 
1,103 
255 
720 


4.434 

89 

186 

2,991 

256 

35 

5,936 

982 

27 

2,682 

233 

9,206 

143 

68 

16,707 

186 

20 

48,515 

620 

603 

1,930 

163 

1,916 

188 

6 

2,806 

172 

1,201 


313 


326 


640 

462 

7,094 


1,540 
634 


2,078 


11,483 


315 
554 
480 
585 
183 
485 
3,137 
1,104 
256 
726 


4,489 


186 
3,101 


35 
6,027 


27 
2,705 


9,232 


70 
17,370 


20 
49,100 


605 
1,947 


1,922 


6 
!,906 


1,205 


20 


37 


226 

2 


32 


110 


I 

163 


418 

1 


21 


II 
9 
6 

137 
3 


69 
129 


202 


33 


274 


21 

231 


1 
499 


4,527 


35 


33 

156 

37 

23 

16 

1 

66 

52 

36 

896 

20 

73 

102 

119 

79 

76 

46 

14 

312 

5 


233 
376 


11 
102 
30 

32 
2 
31 
540 
44 
27 
32 


245 

1 

27 

365 


3 

477 

15 

2 
253 


1,056 


5 
2,019 


11,847 

235 

47 

208 


250 


109 
390 
267 
143 
99 
8 
392 
226 
122 
1,908 
210 
107, 
454 
334 
247 
155 
202 
310 
647 
188 


1,822 
2,206 


125 
193 
149 
242 
63 
151 
889 
424 
107 
300 


1,109 


53 
1.141 


9 
1,804 


9 
1,135 


3,101 


15 
4,648 


9,921 


84 
483 


859 


55 


149 
155 


892 
339 


145 
718 
207 
127 
87 
7 
327 
303 
260 
3,359 
155 
151 
869 
478 
279 
187 
201 
301 
947 
164 


3.103 
7,740 


144 
190 
261 
257 
49 
228 
1,386 
503 
114 
305 


2,334 

13 

102 

1,409 

56 

19 

3,314 

110 

13 

1,227 

49 

3,515 

24 

38 

8,286 

58 

17 

13,238 

38 

356 

1,172 

41 

737 

9 

5 

1,653 

20 

665 


13 

86 

30 

6 

8 

2 

25 

29 

28 

576 

20 

32 

82 

50 

22 

18 

21 

59 

117 

53 


691 
839 


28 

42 

30 

33 

61 

44 

193 

112 

7 

65 


507 

75 

1 

7 

200 
3 
2 

857 

2 

15 

184 

1,173 

119 

8 

1,055 

128 

1 

8,338 

347 

79 

13 

122 

13 

179 

1 

19 

152 

5 


166 


Table  10. — Number  of  Offenses  Known  to  the  Police,  Suburban  Counties,  1991 — Continued 


Counly  by  Slate 


Crime 
Index 
total 


Modified* 
Crime 
Index 
total 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 

vehicle 

theft 


CALIFORNIA— Continued 

Napa  Highway  Patrol    

Orange    

Orange  Highway  Patrol    

Orange  State  Police    

Placer    

Placer  Highway  Pairol    

Riverside  

Riverside  Highway  Patrol  

Riverside  State  Police  

Sacramento    

Sacramento  Highway  Patrol    ... 

Sacramento  State  Police    

San  Bernardino   

San  Bernardino  Highway  Patrol 
San  Bernardino  State  Police   ... 

San  Diego    

San  Diego  Highway  Patrol  

San  Diego  State  Police  

San  Joaquin    

San  Joaquin  Highway  Patrol    .. 

San  Joaquin  State  Police    

San  Mateo    

San  Mateo  Highway  Patrol    

San  Mateo  State  Police    

Santa  Barbara    

Santa  Barbara  Highway  Patrol 

Santa  Clara    

Santa  Clara  Highway  Patrol    ... 

Santa  Clara  State  Police    

Santa  Cruz  

Santa  Cruz  Highway  Patrol  

Shasta   

Shasta  Highway  Patrol    

Shasta  State  Police   

Solano  

Solano  Highway  Patrol  

Solano  State  Police  

Sonoma    

Sonoma  Highway  Patrol    

Sonoma  Stale  Police    

Stanislaus    

Stanislaus  Highway  Patrol    

Stanislaus  State  Police    

Sutter    

Sutter  Highway  Patrol    

Tulare   

Tulare  Highway  Patrol   

Ventura    

Ventura  Highway  Patrol    

Yolo  

Yolo  Highway  Patrol  

Yolo  Stale  Police  

Yuba    

Yuba  Highway  Patrol    

COLORADO 

Adams    

Arapahoe  

Boulder    

Douglas    

JefTerson    

Larimer    

Pueblo    

Weld    

DELAWARE 

New  Castle  Police  Department 


105 

8,421 

8,542 

106 

32 

32 

3,570 

3,583 

257 

23,013 

23,132 

114 

40 

40 

35,394 

35.491 

7,498 

814 

817 

16,529 

16,649 

115 

103 

103 

26,603 

26,792 

193 

113 

113 

5,770 

5,889 

894 

48 

49 

3,423 

3,432 

16 

17 

17 

4,627 

4,653 

255 

3,378 

3,383 

231 

52 

55 

4,344 

4,369 

364 

2,077 

2,083 

182 

26 

26 

762 

782 

66 

3 

3 

4,512 

4,546 

555 

72 

73 

5,552 

5,741 

472 

5 

5 

1,120 

1,123 

37 

5,370 

5,597 

466 

2,101 

2,136 

65 

620 

628 

49 

17 

17 

2,171 

2,190 

117 

4,063 

4,108 

3,758 

3,786 

1,471 

1,505 

1,191 

1,208 

5,310 

5,398 

1,308 

1,318 

746 

752 

1,238 

1,250 

54 


40 


10 


13 


57 


32 
127 


300 


5 
110 


213 


71 


12 


59 


21 


23 


8,968 


9,032 


172 


165 


597 
61 


31 
541 


322 


1 
1,634 


2,502 
9 

2,760 


24 
528 


4 
973 


2 
170 


60 
1,641 

4 
2 
2,762 
1 
5 
314 


65 


1 

392 
2 

408 
5 
2 

371 
7 

127 

2 

4 

92 


340 


151 


15 

1,009 

4 


147 
949 


280 

2 

109 


20 


384 


178 


241 
97 
69 
48 
78 
14 
43 

103 


526 


2,192 


10 
1,244 


7,352 


6 
9,587 


87 
5,884 


18 
8,166 


17 
2,310 


993 


4 
1,808 


779 


13 
1,141 


756 


346 


2 
1,415 


II 
1,816 


442 
1,672 


677 
223 


2 
681 


1,045 
985 
475 
285 

1,124 
304 
193 
353 


2,175 


24 

4,456 

8 

20 

1,910 

63 

9,361 

8 

26 

20,802 

519 

586 

6,377 

II 

66 

10,415 

63 

80 

2,849 

100 

37 

1,540 


II 

2,297 

73 

2,008 

16 

33 

2,715 

73 

1,123 

30 

12 

280 

9 

I 

2,613 

162 

38 

2,473 

25 

5 

478 


2,589 

57 

869 

28 

266 

9 

10 

1,059 


2,288 
2,495 
817 
812 
3,827 
921 
459 
672 


5,259 


81 

945 

37 

2 

27 

194 

3,069 

97 

6 

257 

6,979 

52 

1.949 

100 

13 

4,023 

129 

9 

49 

794 

1 

745 

16 

I 

16 

180 

59 

210 

3 

12 

284 

15 

150 

1 

6 
57 


4 
393 

7 

24 

443 


409 

199 

35 

2 

40 

5 

4 

117 


367 
136 
69 
37 
217 
62 
34 
72 


654 


167 


Table  10.— Number  of  Offenses  Known  to  the  Police,  Suburban  Counties,  1991 — Continued 


County  by  Slate 

Crime 
Index 
total 

Modified* 
Crime 
Index 
total 

Murder 
and  non- 
negligent 

man- 
slaughter 

Forcible 
rape 

Robbery 

Aggra- 
vated 
assault 

Burglary 

Larceny- 
theft 

Motor 

vehicle 

theft 

Arson* 

DELAWARE— Continued 

New  Casile  State  Police       

6,640 

2,732 
8,548 

12,380 
4,110 
7,906 
1,174 

37,664 
4.160 

10,897 
3,712 
3,482 

34,822 

30,944 
9.945 

14,203 
2,448 

10,933 
7,783 
8,174 

488 

1,570 

918 

3,203 

92 

1.962 

9,907 

17,370 

1,078 

184 

45,814 

61 

376 

2,106 

559 

1,927 

84 

10,195 

14,035 

696 

196 

25 

467 

1,073 

270 

11,793 

1,679 

1,170 

562 

1.569 

6.657 

2,738 

8,583 

12,416 

4,110 

7,930 

1,181 

37.776 

4.177 

10,967 

3,712 

3,482 

34,845 

31,126 

10,004 

14,294 

2,452 

10,976 

7,806 

8,215 

9,935 
17,431 

46,024 

10,230 
14,134 

11,809 
1,253 

1,587 

5 

4 

4 

17 

5 

12 

6 

36 

1 

9 

5 

2 

17 

18 

13 

7 

48 

33 
45 
98 
34 

148 
15 

219 

42 

75 

26 

3 

240 

164 
64 

132 
23 
36 
51 
78 

3 
13 
4 

5 

307 

14 
140 
550 

40 
193 

37 
1.041 

52 
265 

72 

52 

I.25I 

640 

117 

212 

15 
133 
222 
198 

6 
31 
10 
64 

330 

312 
624 

1,349 
410 
846 
246 

3,212 
603 

1,194 
100 
247 

3,012 

2,418 
615 

1,019 
310 
609 
909 
710 

22 

42 

14 

18 

19 

89 

385 

600 

20 

4 

996 

2 

5 

56 

11 

162 

5 

292 

326 

86 

11 

7 

33 

19 

10 

588 

117 

82 

15 

84 

8 
70 

6 

241 

91 

7 

2 

885 

671 
1,989 
2,495 

920 
2,146 

415 
8,438 
1.725 
3,012 

990 

800 
8.837 
7.624 
2.542 
3.327 

739 
2,742 
2,159 
2,831 

221 

432 

196 

909 

22 

577 

2,123 

3,731 

314 

61 

10,281 

15 

170 

516 

222 

490 

5 

2,366 

3,092 

180 

69 

2 

195 
339 
103 
3,427 
470 
504 
205 

391 

59 

475 

55 

1,305 

660 
86 
94 

4,567 

1,580 

5,243 

6,625 

2,483 

4,079 

384 

20,549 

1,491 

5.635 

2.364 

2.231 

18.425 

17.513 

6.017 

8.771 

1.198 

6,959 

3,954 

3,878 

201 

917 

570 

1,951 

46 

1,110 

5,973 

10,905 

624 

99 

25,679 

42 

178 

1,247 

278 

1,050 

67 

5,968 

9,279 

375 

96 

14 

207 

609 

133 

5,941 

952 

546 

310 

1,028 

195 

884 

45 

3,032 

2,057 

158 

93 

498 

118 
503 

1,246 

218 

482 

71 

4,169 
246 
707 
155 
147 

3,040 

2,567 
577 
735 
163 
446 
477 
471 

34 

132 

123 

255 

5 

161 

1,102 

1.566 

90 

18 

6.206 

2 

8 

220 

44 

212 

2 

1,106 

962 

41 

15 

17 

FLORIDA 

Bay                       

6 

35 

36 

Clay 

Collier       

24 

7 

112 

17 

70 

23 

182 

Pasco                    

59 

91 

4 

8 
11 
8 

1 
3 
1 
1 

43 

23 

41 

GEORGIA 

Catoosa    

Chatham  Police  Department    

5 

14 
2 

13 

54 

110 

8 

2 

295 

11 
265 
444 

20 

28 

Cobb  Police  Department     

61 

Dekalb  Police  Department  

62 

2,295 

210 

1 

3 
1 

1 
13 

13 

51 

3 

4 

5 

408 

267 

4 

2 

1 

5 

17 

5 

504 

23 

8 

4 

5 

I 

7 

2 

72 

28 

3 

9 

Fulton  Police  Department 

12 
13 
4 

1 

43 

96 

6 

2 

I 

5 
8 

35 

99 

1 
1 

21 
80 
19 
1,244 
110 
18 
26 

47 

13 

46 

7 

538 

213 

21 

5 

Paulding         

Peach 

33 
2 

1 
1 

56 
5 
II 

14 

16 

Rockdale   

Walker    

Walton    

IDAHO 

Ada                                     

83 
18 

ILLINOIS' 

3 

Champaign  

3 

II 

Cook       

3 
3 
1 

18 

Du  Page 

30 

Grundy  

7 

Henrv    

4 

See  footnote  at  end  of  table. 


168 


Table  10. — Number  of  Offenses  Known  to  the  Police,  Suburban  Counties,   1991 — 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 


ILLINOIS'— Continued 

Jersey    

Kane    

Kendall    

Lake  

McHenrv'  

McLean    

Macon    

Monroe    

Rock  Island  

St.  Clair  

Sangamon   

Tazewell    

Wmnebago  

Woodford   

INDIANA' 

Allen    

Clark   

Elkhart   

Howard    

Marion   

Monroe    

Porter   

St.  Joseph  

Tippecanoe  

Vanderburgh    

lOWA^ 


KANSAS 

Butler    

Douglas    

Harvey    

Johnson   

Leavenworth    

Miami  

Sedgwick    

Shawnee  

Wyandotte    

KENTUCKY 

Boone   

Boone  Police  Department  ... 

Boone  Slate  Police    

Bourbon  

Bourbon  State  Police  

Boyd    

Boyd  Police  Department   

Boyd  State  Police    

Bullitt    

BuUilt  State  Police    

Campbell  Police  Department 

Campbell  State  Police  

Carter    

Carter  State  Police    

Christian    

Christian  Police  Department 

Christian  Stale  Police    

Clark   

Clark  State  Police   

Daviess  

Daviess  State  Police  , 

Fayette  State  Police    

Greenup  , 

Greenup  State  Police  

See  footnotes  ai  end  of  table. 


2,312 

2.314 

354 

356 

2.197 

2,200 

633 

636 

21.028 

21.110 

118 

118 

1.096 

1.106 

2.381 

2,385 

1,030 

1,035 

713 

713 

526 

272 

53 

408 

304 

266 

2.231 

1.216 

101 


245 

935 

24 

84 

98 

150 

4 

230 

364 

180 

341 

8 

15 

180 

453 

74 

32 

236 

49 

359 

204 

7 

144 

HI 


2.263 


246 

939 

24 

85 

98 

150 

4 

241 

364 

190 

343 

8 

15 

188 

454 

74 

32 

236 

49 

359 

205 

7 

144 

114 


13 

2 

21 

4 

146 


357 


6 

31 

13 

146 

25 

24 

10 

6 

6 

60 

103 

6 

115 

5 


23 


357 
98 

377 


107 
20 

150 
40 


37 
32 

6 
56 
46 
13 
185 
64 

9 


104 

169 

383 

416 

64 

235 

371 

18 

898 

1.779 

291 

410 

990 

85 

241 

368 

22 

115 

345 

9 

90 

91 

11 

70 

162 

15 

371 

725 

137 

488 

531 

75 

142 

168 

23 

750 

1.268 

138 

35 

106 

9 

736 

84 

595 

130 

4.601 

58 

154 

586 


39 
235 
II 
39 
38 
55 


83 

143 

24 

96 


2 
75 
171 
10 
5 
80 
14 
89 
69 


1.325 
246 

1.140 

367 

13.783 

56 

726 

1.625 
589 
551 


231 

226 

83 

144 

24 

12 

135 

182 

122 

114 

102 

135 

629 

1.241 

407 

693 

36 

53 

140 

562 

8 

36 

23 

62 

2 

120 

190 

42 

166 

4 

12 

64 

163 

32 

9 

139 

18 

214 

90 

4 

41 

26 


192 
21 
69 
32 
1.750 
4 
89 

109 
47 
32 


21 
10 

4 
20 
14 

8 

120 

36 

3 


169 


Table  10. — Number  of  OfTenses  Known  to  the  Police,  Suburban  Counties,  1991 — 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 


KENTUCKY— Continued 

Henderson    

Henderson  State  Police    

JefTerson  Police  Department   

JefTerson  State  Police    

Jessamine    

Jessamine  State  Police    

Kenton  Police  Department    

Kenton  Stale  Police   

Oldham    

Oldham  Police  Department  

Oldham  Stale  Police    

Woodford   

Woodford  Police  Department  

Woodford  Stale  Police    

LOUISIANA 

Ascension    

Bossier    

Caddo  

Easi  Baton  Rouge   

Jefferson    

Lafayette   

LaFourche    

Li\  ingston  

Ouachita    

St.  Charles   

St.  John  the  Baptist  

St.  Martin    

St.  Tammany    

Terrebonne  

West  Baton  Rouge    

MAINE 

Androscoggin    

Androscoggin  State  Police    

Cumberland  

Cumberland  Stale  Police  

MARYL.\ND 

.Allegany  

.Allegany  County  Investigator    

Allegany  Slate  Police  

Anne  Arundel 

Anne  .Arundel  Police  Department 

.Anne  Arundel  Slate  Police  

Baltimore  Police  Department   

Baltimore  State  Police    

Calvert    

Calvert  Slate  Police    

Carroll    

Carroll  State  Police    

Cecil    

Cecil  Slate  Police    

Charles  

Charles  Stale  Police   

Frederick  

Frederick  Slate  Police  

Harford    

Harford  Slate  Police    

Howard    

Howard  State  Police  

Montgomery  Police  Department  . . 

Montgomery  Stale  Police  

Prince  Georges  

Prince  Georges  Police  Department 
Prince  Georges  State  Police  


306 

143 

11,406 

12 
283 

71 
379 

17 

37 
417 
115 

29 

217 

6 


1,300 

898 

1,819 

9,055 

31,880 

1,979 

867 

897 

2,127 

2,601 

1,621 

532 

3,969 

2,222 

599 


285 

70 

692 

113 


123 

2 

613 

8 

17,728 

1,297 

45,582 

123 

738 

516 

24 

1,890 

652 

1,378 

4,620 

510 

796 

1,401 

3,518 

1.004 

8,902 

155 

33,769 

24 

2 

45,568 

226 


308 

148 

11,475 

12 
285 

77 
393 

18 

37 
421 
115 

29 

222 

6 


1,302 

903 

1,819 

9,083 

32,029 

1,993 

873 

899 

2,129 

2,608 

533 
3,998 
2,242 

601 


289 

70 

692 

113 


123 

2 

619 

8 

17,888 

1,297 

46,021 

123 

738 

531 

24 

1,908 

652 

1,415 

4,620 

547 

797 

1,439 

3,518 

1,058 

8,902 

236 

34.202 

24 

2 

45,818 

226 


22 


13 
12 
21 
34 
200 
31 

4 

3 

13 
14 
II 

6 
51 
25 

4 


10 


96 
5 

271 
2 
8 

2 


18 
3 
3 

17 
I 

4 
6 

31 
9 

40 

4 

210 


I 
296 


9 

7 

10 

173 

1,259 

36 

14 

2 
27 
74 
52 

6 
48 
41 

5 


473 

9 

2.139 

5 

11 

3 


20 

5 

14 

114 

15 

3 

20 

49 

22 

147 

4 

979 

3 


15 

53 

353 

1 

8 

7 

56 
1 
7 

29 
6 


122 

64 

101 

509 

1,729 

191 

79 

165 

133 

714 

92 

49 

227 

316 

17 


140 
I 


453 
I 


3,796 

2 


101 

7 

802 

46 

5,183 

24 

51 

67 

1 

29 

102 

184 

518 

47 

67 

215 

208 

105 

382 

35 

1,234 

5 

2 

3,313 

47 


89 

31 

2,138 

I 

88 

32 

122 

3 

7 

135 

31 

11 

77 

1 


369 
247 
650 
2,019 
6,191 
565 
223 
513 
975 
522 
390 
159 
1,163 
701 
145 


131 
29 

243 
41 


39 
157 


3,630 

76 

8,150 

10 

209 

136 

4 

466 

222 

380 

774 

66 

166 

280 

948 

214 

1,659 

6 

5,105 


189 

44 

7,585 

5 

162 

20 

174 

8 

23 

232 

62 

18 

98 

1 


729 
520 
921 

5,781 
18,892 

1,068 
485 
1S8 
877 

1,168 
919 
296 

2,252 

1,075 
394 


140 

34 

383 

54 


80 

2 

313 

I 

10,955 

940 

23,962 

/' 

;417 

261 

19 

1,229 

284 

686 

2,805 

302 

511 

821 

2,073 

551 

5,575 

92 

22,932 

10 


II 

8 
929 

5 
22 

4 
20 

4 


17 
5 


53 

45 

113 

532 

3,561 

81 

57 

20 

95 

107 

145 

12 

223 

64 

34 


II 
3 

32 
8 


27 


1.762 
220 

5,852 
21 
42 
24 


124 

36 

110 

387 

78 

44 

59 

209 

102 

1,091 

14 

3,287 

6 


8,230 

2 


20,868 
122 


8,768 
51 


170 


Table  10. — Number  of  Offenses  Known  to  the  Police,  Suburban  Counties,  1991 — Continued 


County  by  State 

Crime 
Index 
total 

Modified* 
Cnme 
Indsx 
total 

Murder 
and  non- 
negligent 

man- 
slaughter 

Forcible 
rape 

Robber> 

Aggra- 
vated 

assault 

Burglary 

Larceny- 
theft 

Motor 

vehicle 

theft 

Arson* 

MARYLAND— Continued 

337 
573 
896 
546 

136 
229 
22 
4g 
42 
28 
84 
95 
125 
9 

690 
9S6 

1,145 
983 

578 

309 

466 

45 

2,872 

228 
1.637 

294 
1.106 

483 

2.516 

45 

4,107 

786 
1,009 

280 
2,632 

465 
1.021 
1.012 

841 

21 

4.250 

874 
1,414 

421 
7.834 

485 
2.566 

309 
1.496 

639 
2.413 

447 
3.109 
1,318 

742 

135 

466 

315 

241 

1,108 

337 
587 
896 
581 

136 
229 
22 
48 
42 
28 
84 
95 
125 
9 

691 

990 
1.153 
1.006 

585 

315 

467 

45 

2.881 

231 
1.650 

296 
1.129 

488 

2.528 

52 

4.117 

794 
1,015 

288 
2.637 

470 
1.0.30 
1.024 

847 

4.273 

888 
1.416 

423 
7.903 

495 
2.573 

311 
1.496 

641 
2.447 

466 
3.143 
1,333 

747 

150 

470 
318 

242 
1,112 

4 
5 

16 
4 

2 
1 

8 
9 

I 

3 

39 

83 
33 
42 

8 

44 

1 

9 

6 

II 

21 

24 

5 

2 

20 
50 

102 
85 
40 
23 
16 
4 

152 
9 

126 
11 
72 

102 

52 

2 

180 
18 
38 
18 

102 
15 
35 
77 
85 
3 

301 
55 
28 
16 

365 

50 

37 

8 

151 
50 

144 
26 

339 
88 
16 
32 

19 

14 

8 

39 

90 

155 
210 
135 

58 

194 
292 
591 
315 

63 
21 

8 
36 

38 
40 

6 
161 
21 
10 
4 
16 
56 
50 
30 

32 

55 

64 

49 

21 

12 

22 

1 

145 

4 

94 

37 
22 

122 
1 

192 
29 
43 
25 

220 
44 
55 
57 
20 

237 
59 
70 
19 

487 

32 

73 

8 

135 
26 

144 
17 

239 
78 

171 
20 

49 
18 

17 
104 

Queen  Anne's  State  Police  

' 

14 

Washinelon  State  Police                   

1 

35 

MASSACHUSETTS 

1 

13 
14 

1 

15 

17 

Nnrfnllc   Slate  Police 

7 

19 
90 

2 

490 
665 
622 
560 
291 
139 
288 
21 

2,043 
166 
935 
222 
682 
220 

1.822 
28 

2.756 
545 
643 
115 

1,785 
286 
657 
585 
527 
6 

2.817 
573 
976 
282 

5,521 
205 

1,848 
191 
906 
392 

1,531 
227 

1.604 

879 

540 

46 

210 

177 
154 
746 

1 

1 
3 

133 
186 
320 
237 
202 

94 
121 

17 
467 

27 
431 

17 
268 
106 
475 

10 
893 
170 
275 

71 
488 

96 
240 
251 
179 
5 
783 
155 
301 

85 

1,328 

179 

523 

93 
265 
135 
518 
163 
776 
192 
7 

21 

183 
99 
56 

209 

1 

11 

23 
25 
36 
21 
37 
17 

2 
32 
21 
43 
31 
38 
27 
23 

3 
48 
20 

7 
47 
22 
20 
28 
34 
29 

7 
66 
24 
32 
19 
80 
13 
69 

7 
22 
17 
61 
12 
73 
57 

3 
11 

■> 
6 
2 
8 

MICHIGAN 

Bav                               

4 
6 
12 
14 

1 

Bav  State  Police  

1 

4 

8 

Berrien  State  Police     

2 
2 
1 
1 

23 

7 

6 

Clinton                 

33 

22 
36 

15 

6 
6 

9 

Fainn   ^ilalp    Pnlifp 

3 

1 

13 

Ingham  State  Police  

Jackson    

Jackson  Slate  Police 

2 

2 

23 

5 

12 

Kalamazoo  State  Police           

7 

Kent      

2 

10 

Kent  State  Police 

8 

1 

6 

8 

5 

5 

9 

Livingston  State  Police  

2 
1 

12 

Midland 

6 

Monroe    

5 

1 

41 

7 
7 

23 

Monroe  State  Police 

14 

2 

2 

Oakland        

2 

1 
5 

51 

6 
11 

2 
17 
16 
15 

2 

75 
22 

4 

5 

3 

2 
1 

69 

Oakland  Slate  Police  

9 

Ottawa           

7 

Ottawa  State  Police 

2 

3 

2 

Si    Clair 

34 

St.  Clair  Slate  Police  

19 

3 

2 

34 

Washtenaw'  State  Police  

15 

5 

15 

MINNESOTA 

4 

1 

2 

1 

3 

Carver         

1 

Chisago    

4 

171 


Table  10. — Number  of  Offenses  Known  to  the  Police,  Suburban  Counties,  1991 — 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* 

M I N  NESOT  A— Continued 

Clay                    

190 

251 
547 
128 
840 
402 
530 
87! 
750 

2.494 
699 
610 

211 

464 

395 

218 

1,461 

1.412 

927 

598 

114 

442 

185 

2,098 

15,889 

472 
200 

78 

1 

1,732 

13 

592 

46 

878 

8 

130 

3 

1,945 

1,319 

326 

967 

61 

484 

1,089 

395 

69 

18 

37 

288 

445 

139 

190 

254 
553 
128 
856 
403 
534 
871 
763 

2,515 
701 
618 

212 

470 

400 

218 

1,461 

1,414 

935 

599 

114 

442 

189 

2,114 

16,002 

475 
201 

78 

1,738 

13 

601 

46 

884 

8 

131 

3 

1,945 

1,327 

328 

979 

61 

486 

1,117 

400 

75 

18 

37 

298 

446 

140 

10 
39 
16 

56 

39 
190 

19 
413 

93 
158 
199 
232 

1,217 
398 
236 

54 
320 
202 

77 
526 
439 
301 
228 

60 
125 

64 

418 

3,197 

56 
42 

19 

105 
143 
291 
96 
311 
247 
309 
574 
443 

711 
241 
282 

93 

30 
178 

77 
634 
825 
487 
305 

43 
223 

94 
1,336 
9,689 

357 
137 

57 

1 

1,330 

9 

433 

24 

570 

7 

92 

19 
28 
49 
13 
71 
49 
48 
70 
54 

239 
40 
28 

15 

10 

9 

9 

100 

63 

54 

54 

8 

30 

14 

125 

1,402 

45 
13 

1 

1 

1 

3 

Olmsted 

6 

1 

11 

1 
2 

13 

2 
1 

31 
11 
13 
11 
16 

126 

8 
34 

42 

95 

2 

51 
178 
63 
60 

16 

Scott         

1 

4 

1 

3 
5 

57 
6 
12 

2 

2 

8 

12 

11 

5 

Washington    

MISSISSIPPI 

Harrison    

Hinds                              

13 

2 

5 
2 

142 

1 
16 

5 
9 
4 
2 

14 
9 

13 
6 
2 
7 
2 

19 
100 

1 

21 

2 

Madison 

8 

MISSOURI 

1 

6 

5 

Clav                                    

Franklin  

1 
1 
1 

1 

Greene    

Jackson    

Lafayette   

2 
8 
1 

3 

2 

14 
287 

54 

9 

182 

1,203 

13 

5 

1 

Ray  

4 

4 
11 

16 

113 

MONTANA 

3 

3 

1 

NEBRASKA 

1 

Douglas            

1 

9 

1 

9 

30 
1 

4 
17 
29 

289 

1 
130 

-) 

215 

64 

1 
23 

1 
55 

5 
1 

167 

41 

59 

83 

3 

34 

83 

65 

5 

1 

1 

31 

61 

20 

6 

Douglas  State  Patrol    

2 
6 

9 

2 
3 

6 

3 

30 

1 

553 

141 

34 

268 

8 

163 

349 

37 

6 

5 

4 

85 

36 

4 

1 

1 

17 

7 

NEVADA 

Washoe    

8 

1 

26 

28 
2 

14 

6 

5 

21 

78 

10 

1 

5 

3 

6 

7 

202 

41 
18 
86 

9 

44 

108 

34 

15 

4 

6 
10 

5 
26 

972 

1,060 
213 
499 

34 
235 
518 
153 

32 
7 

21 
157 
337 

82 

NEW  JERSEY 

Atlantic  State  Police    

8 

Bergen  State  Police 

2 

Burlington  State  Police  

1 

16 

3 

8 

26 

12 

Cape  May  State  Police  

1 

2 
2 

1 

28 

Essex  County  Police  

5 

6 

Hudson  State  Police  

Hunterdon  State  Police    ... 

1 

1 

10 

1 

Middlesex  State  Police   

1 

172 


Table  10.— Number  of  Offenses  Known  to  the  Police,  Suburban  Counties,  1991 — 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  JERSEY— Continued 

Monmouth  State  Police   

Morns  State  Police  

Ocean  State  Police    

Passaic  Stale  Police    

Salem  State  Police    

Somerset  State  Police    

Sussex  State  Police   

Union  State  Police   

Warren  State  Police   

NEW  MEXICO 

Dona  Ana    

NEW  YORK 

Mbany    

\lbany  State  Police    

Broome    

Broome  State  Police    

Chemung  

rhemung  State  Police  

Erie    

Erie  State  Police    

Greene    

Greene  State  Police    

Herkimer  

Herkimer  Slate  Police  

Livingston  

Livmgston  State  Police  

Madison  

Madison  State  Police  

Monroe 

Monroe  State  Police    

Nassau    

Nassau  State  Police    

Niagara    , 

Niagara  State  Police  , 

Oneida    , 

Oneida  State  Police    , 

Onondaga    

Onondaga  Stale  Police    , 

Ontario  , 

Ontario  State  Police  

Orange    

Orange  State  Police    

Orleans  

Orleans  Stale  Police  

Oswego  

Oswego  State  Police  

Putnam    

Putnam  Slate  Police    

Rensselaer  

Rensselaer  Slate  Police  

Saratoga  

Saratoga  State  Police  

Schenectady  .• 

Schenectady  State  Police  

Tioga  

Tioga  State  Police  

Warren   

Warren  State  Police  

Washington    

Washington  State  Police    

Wayne    

Wayne  State  Police  

Westchester    

Westchester  State  Police    


335 

66 
152 

15 
489 

19 
612 

41 
319 


2.116 


344 
69 
153 

15 

506 

19 

627 

44 

325 


2,123 


138 

139 

728 

729 

1.135 

1,139 

819 

825 

758 

758 

261 

266 

2,230 

977 

984 

39 

39 

891 

899 

2 

2 

537 

543 

692 

697 

155 

156 

106 

584 

591 

5,899 

5.924 

1,197 

1.197 

32,649 

32,960 

45 

2,154 

2,154 

567 

572 

793 

1,480 

1,489 

3,834 

3,857 

1,389 

1,395 

1,201 

522 

523 

11 

11 

1,291 

1,313 

340 

103 

108 

929 

972 

653 

655 

514 

518 

267 

269 

356 

371 

720 

721 

1,396 

931 

932 

5 

5 

71 

72 

356 

211 

213 

1,346 

310 

312 

403 

287 

290 

925 

934 

871 

881 

643 

707 

722 

35 


2 

52 

3 

1,181 


152 


18 
29 

44 
24 
30 
37 

256 

55 

5 

151 

32 
49 
7 
5 
38 
60 
13 

994 
20 

129 
18 
21 
48 

103 
21 
25 


34 
14 
25 
21 
16 
12 
32 
34 
85 
33 
1 

4 
68 
14 
12 
3 
42 
46 
11 
31 
94 
125 


178 
3 

178 

1 

95 


1,004 


42 
103 
290 
257 
162 

63 

370 

204 

8 

325 


230 
131 

29 

30 
173 
849 

69 
5,609 
1 
464 
108 
223 
418 
703 
201 
362 

97 


335 

92 

45 

271 

202 

116 

53 

99 

191 

338 

199 


23 

108 

71 

258 

65 

93 

90 

259 

216 

19 

182 


199 
35 
91 
II 

221 
7 

341 
18 

144 


66 

554 
750 
506 
547 
148 

1,476 

660 

25 

373 

I 

255 

491 

110 

68 

356 

4,566 

1,072 

17,562 

19 

1,385 
404 
517 
979 

2,777 

1,107 

773 

402 

7 

732 

192 

31 

562 

406 

332 

168 

218 

475 

924 

659 

2 

44 

165 

117 

1,036 
236 
249 
142 
607 
566 
428 
322 


149 


11 

28 
36 
15 
10 

7 

106 

52 

1 
36 


10 

12 

5 

2 

12 

354 

37 

7.191 

1 

122 

26 

16 

23 

170 

49 

32 

11 


173 


Table  10. — Number  of  Offenses  Known  to  the  Police,  Suburban  Counties,  1991 — Continued 


County  by  Stale 


Crime 
Index 
total 


Modified* 
Crime 
Index 
total 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 

vehicle 

theft 


NORTH  CAROLINA 

Alamance    

Alexander   

Buncombe  

Burke    

Cabarrus   

Catawba  

Cumberland  

Davidson  

Davie    

Durham   

Forsythe  

Franklin  

Gaston    

Guilford  

Lincoln  

Mecklenburg   

New  Hanover  

Onslow   

Orange   

Randolph    

Rowan    

Stokes  

Union    

Wake  

NORTH  DAKOTA 

Burleigh   

Grand  Forks  

OHIO 

Auglaize  

Clark   

Clermont  

Delaware  

Franklin  

Fulton  

Geauga  

Greene   

Hamilton  

Lake  

Licking  

Lorain  

Lucas  

Montgomery    

Pickaway   

Richland    

Stark    

Trumbull  

Union    

Washington    

Wood    

OKLAHOMA 

Canadian  

Cleveland    

Comanche  

Creek  

Garfield   

Logan    

McClain  

Oklahoma  

Osage    

Pottawatomie    

Rogers  

Sequoyah  

Tulsa   


1. 100 

548 
2,644 
1,186 
1,110 
1,793 
12,358 
2,296 

457 
1,177 
4,049 

740 
2,782 
3,621 
1,337 
4,606 
2,693 
3,278 
1,362 
1,963 
2,029 

740 
1,846 
3,723 


131 
208 


416 

2,702 

1,257 

624 

5,145 

430 

420 

274 

9,082 

794 

1,202 

1,474 

1,784 

2,939 

627 

1,645 

2,926 

287 

444 

813 

498 


226 
327 
305 
763 
94 
439 
235 
352 
337 
661 
363 
331 
2,331 


1,112 

548 
2,682 
1,201 
1,115 
1,811 
12,436 
2,315 

457 
1,187 
4,128 

740 
2,843 
3,661 
1,364 
4,642 
2,699 
3.298 
1.364 
1,963 
2,046 

740 
1,847 
3,806 


131 


416 

2,736 

1,278 

625 

5.179 

436 

420 

278 

9,154 

801 

1,223 

1,490 

1,799 

3,003 

630 

1,645 

2,945 

292 

445 

826 

498 


228 
334 
308 
813 

446 

237 
354 
338 
663 
364 
341 
!,349 


16 

4 

16 

18 

4 

4 

101 

9 

1 

5 

15 

2 

19 

18 

12 

28 

22 

21 

8 

I 

9 

5 

5 

17 


9 

298 
26 

1 
15 
52 

2 
34 
44 
21 
82 
32 
46 
21 
II 
22 

1 
18 
47 


34 

12 

1 

206 


6 

1 
188 

4 

10 

52 

38 

157 

2 
16 


35 


90 

20 

109 

48 

13 

337 

509 

100 

14 

78 

592 

19 

144 

273 

79 

356 

166 

57 

28 

101 

100 

47 

98 

181 


19 

107 

28 

9 

100 
71 
II 
37 

150 
II 
63 

241 
42 

126 
59 
81 
52 
7 
42 

101 
22 


9 
27 
30 
34 

3 
44 
29 
17 
25 
68 
26 
14 
353 


378 
234 

1,030 
499 
456 
513 

3,993 

1,066 
185 
341 

1,539 
384 

1,142 

1,168 
498 

1,550 
765 

1,105 
544 
891 
858 
283 
677 

1,612 


169 

573 
383 
135 

1,175 
127 
83 
85 

1,295 
177 
324 
589 
304 
903 
223 
462 
944 
109 
116 
250 
114 


552 

261 

1,256 

534 

573 

825 

6,528 

957 

222 

655 

1,632 

295 

1,283 

1,951 

626 

2,430 

1,573 

1,900 

696 

882 

912 

358 

970 

1.576 


83 
128 


201 

1,761 

749 

414 

3,149 

212 

275 

143 

7,035 

544 

720 

499 

1,247 

1,206 

303 

987 

1,517 

108 

250 

419 

332 


88 

117 

178 

96 

109 

138 

360 

285 

47 

41 

210 

158 

108 

73 

141 

152 

141 

129 

310 

221 

164 

127 

157 

130 

612 

1,083 

42 

23 

210 

75 

50 

97 

908 

134 

34 

81 

216 

34 

154 

159 

99 

153 

134 

144 

63 

74 

123 

44 

74 

283 


14 

166 

27 

51 

425 

17 

38 

5 

364 

52 

85 

69 

133 

491 

28 

99 

312 

56 

33 

34 

17 


6 
14 
23 
70 

3 
20 
14 
30 
32 
55 
36 
20 
212 


174 


Table  10.— Number  of  Offenses  Known  to  the  Police,  Suburban  Counties,  1991 — Continued 


County  by  Stale 


Crime 
Index 
total 


Modified* 
Crime 
Index 
total 


Murder 
and  non- 
negtigent 

man- 
slaughter 


Forcible 
rape 


Robber\' 


Aggra- 
vated 
assault 


Burglar* 


Larceny- 
theft 


Motor 

vehicle 

theft 


OKLAHOMA— Continued 

Wagoner    

OREGON 

Clackamas    

Clackamas  Slate  Police    

Jackson    

Jackson  State  Police  

Lane  

Lane  State  Police  

Marion   

Marion  State  Police  

Multnomah    

Multnomah  State  Police    

Polk   

Polk  State  Police   

Washmgton    

Washmgton  State  Police    

Yamhill    

Yamhill  Stale  Police    

PENNSYLVANIA 

Allegheny  State  Police    

Beaver  State  Police  

Berks  State  Police   

Blair  State  Police  

Bucks  State  Police  

Cambria  Stale  Police  

Carbon  State  Police   

Centre  State  Police  

Chester  Detective  

Chester  State  Police  

Columbia  State  Police    

Cumberland  State  Police  

Dauphin  State  Police  

Delaware  State  Police   

Erie  State  Police    

Fayette  State  Police    

Lackawanna  Stale  Police  

Lancaster  State  Police  

Lebanon  State  Police  

Lehigh  Stale  Police  

Luzerne  Slate  Police    

Lycoming  State  Police    

Mercer  State  Police    

Monroe  Slate  Police    

Montgomery  Slate  Police    

Northampton  State  Police    

Perry  State  Police    

Somerset  State  Police    

Washington    

Washington  Stale  Police    

Westmoreland  Detective    

Westmoreland  State  Police 

York  State  Police    

RHODE  ISLAND 

Kent  State  Police  

Providence  State  Police   

Washington  Slate  Police    

SOUTH  CAROLINA 

Aiken  

Anderson  

Berkeley  

Charleston  


500 


8,078 

112 
1.552 

210 
1,552 

439 
3,271 

266 
3,184 

116 

465 

6 

4,486 

29 

753 
16 


552 

220 

855 

410 

506 

301 

410 

851 

16 

1,740 

236 

675 

956 

1,197 

1,454 

2,055 

224 

1,.I06 

388 

1,005 

1,039 

1,129 

456 

1,578 

679 

375 

581 

666 

9 

789 

43 

2,978 

796 


61 
175 
369 


3,817 
4,628 
4,082 
8.111 


500 


8,089 

133 
1,560 

238 
1,555 

471 
3,289 

302 
3,217 

118 

467 

7 

4,507 

45 

766 
18 


560 

221 

869 

430 

518 

310 

412 

872 

16 

1,782 

237 

708 

984 

1,207 

1,472 

2,254 

260 

1,125 

394 

1,023 

1,118 

1.143 

465 

1,604 

689 

378 

598 

691 

9 

812 

43 

3,081 

830 


61 
176 
374 


124 
5 

10 
15 
21 
10 
32 
15 
26 


118 


87 


113 

16 

186 

19 

68 

56 

302 

56 

272 

5 

22 

1 

29 

8 

27 

2 


80 
31 

143 
8 
43 
16 
19 
38 
6 

121 

1 

42 

167 
34 
60 

313 
19 
40 
10 
40 
84 
21 
16 
87 
63 
21 
14 
24 
8 
36 


63 

71 

50 

185 


108 

43 


554 
500 
326 
965 


208 


1,870 

21 

392 

25 

453 

125 

789 

36 

854 

4 

159 

3 

1,296 

1 

208 

2 


138 
72 
324 
140 
117 
132 
217 
318 
I 
638 
96 
214 
201 
187 
398 
696 
89 
386 
121 
246 
304 
374 
175 
643 
198 
113 
278 
318 


322 

1 

947 

303 


1,117 
1,345 
1,204 
2,124 


249 


5,069 

50 

868 

128 

895 

177 

1,866 

130 

1,582 

90 

229 

2 

2,706 

II 

424 

6 


185 
80 
293 
207 
275 
119 
143 
430 
4 
767 
115 
355 
498 
703 
833 
663 
71 
578 
215 
607 
543 
626 
215 
689 
368 
193 
258 
239 
I 
302 
41 
1,278 
375 


21 
83 

232 


1,727 
2,354 
2,181 
4,165 


30 


775 
20 
83 
18 
97 
65 

217 
26 

393 

8 

44 


327 

7 

59 

5 


95 

29 

73 

44 

50 

24 

22 

40 

I 

154 

21 

54 

60 

249 

116 

303 

36 

78 

38 

91 

85 

80 

43 

132 

38 

38 

17 

72 


107 


547 
59 


2 
26 
19 


290 
323 
266 
591 


Table  10. — Number  of  Offenses  Known  to  the  Police,  Suburban  Counties,  1991 — 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* 

SOUTH  CAROLINA— Continued 

2,384 
3,780 

11,524 
6,372 
1,197 
9,444 

10,226 
3,448 

367 
679 

675 
492 

1,714 
359 

6,066 
838 
636 
473 

2,009 
935 
169 
834 

937 

8,487 

846 

1,742 

374 

2,071 

966 

807 

145 

702 

919 

1,835 

1,007 

2.688 

3,000 

1,329 

1,040 

638 

645 

400 

41,759 

619 

729 

5,063 

588 

1,000 

1,069 

919 

796 

887 

955 

6,019 

293 

977 

1,255 

236 

278 

213 

687 
504 

359 

6,168 

843 

479 

936 
172 

847 

978 

8,635 

871 

1.746 

375 

2,085 

968 

810 

145 

754 

925 

1,845 

1,007 

2,707 

3,051 

1 ,349 

1.056 

641 

645 

407 

42,331 

619 

741 

5.073 

593 

1,001 

1.090 

920 

798 

893 

957 

6,134 

295 

981 

1,256 

238 

285 

218 

5 

7 

22 

2 

4 
19 
17 

6 

33 
77 

121 
67 
18 

184 
96 
31 

7 
36 

1 
1 

14 
5 

31 
8 
4 
8 

20 

20 
1 
3 

29 

46 

13 

26 

1 

5 

7 

3 

3 

25 

70 
304 
139 

11 
567 
168 

45 

3 
I 

7 
3 
15 

275 

359 

1,416 

558 

110 

1,257 

1,437 

420 

10 
35 

10 

7 

149 

538 
1,176 
3,092 
1,547 

363 
2.326 
2,216 
1,181 

136 
134 

293 
186 
586 
128 
2,258 
237 
190 
172 
665 
281 
36 
319 

290 

2.639 

296 

562 

157 

1,322 

353 

306 

74 

189 

367 

441 

384 

784 

1,190 

548 

423 

186 

263 

122 

11,292 

234 

301 

3,022 

198 

424 

403 

466 

247 

345 

294 

1,927 

96 

357 

617 

61 

76 

88 

1,372 
1,843 
5,913 
3,631 
637 
3,944 
5,774 
1,581 

201 
436 

311 
262 
834 
203 
3,052 
451 
314 
243 
979 
507 
86 
432 

464 

4,167 

399 

822 

179 

507 

425 

425 

49 

288 

431 

1,238 

425 

1,356 

1,373 

530 

528 

324 

351 

224 

16,064 

277 

304 

1,377 

288 

430 

492 

311 

422 

412 

543 

3,043 

127 

486 

546 

119 

149 

85 

136 

248 
656 
428 
54 
1,147 
518 
184 

10 

37 

50 
32 

114 
23 

453 
54 
32 
19 

154 

43 

3 

54 

50 

913 

53 

164 

20 

55 

50 

43 

9 

35 

59 

91 

28 

208 

257 

98 

46 

32 

21 

9 

9,945 

28 

31 

284 
50 
85 
80 
41 
16 
53 
61 

517 
19 
75 
28 
18 
15 
21 

Florence  

Greenville  

Richland    

Spartanburg  

York                                

SOUTH  DAKOTA 

TENNESSEE 

3 

1 
2 

12 

12 

9 

1 
■) 

3 

2 
2 

1 
1 

4 
14 

70 
15 
6 

1 
20 
5 
1 
6 

7 
95 
18 
26 

1 
26 

3 

1 

193 
72 
88 
27 

169 
77 
41 
19 

93 

613 

67 

137 

16 

142 

127 

27 

10 

163 

53 

23 

157 

267 

117 

95 

27 

73 

7 

39 

2,182 

65 

73 

270 

29 

53 

71 

67 

99 

54 

39 

418 

46 

36 

30 

32 

31 

18 

102 

5 

6 

1 

3 

13 

TEXAS 

41 

Bexar  

148 

25 

5 

4 

I 

14 
1 
2 

14 

Collin    

2 

Comal       

3 

Dallas 

2 
1 
1 

6 

10 

7 

6 

25 

2 

22 

3 

38 

38 

36 

11 

4 

2 

1 

1,833 

52 

6 
19 
4 

25 
18 
16 

5 
15 

6 

Ector   

10 

Ellis 

El  Paso              

19 

Fort  Bend  

51 

20 

Grayson   

16 

4 

I 

3 

Hardin    

5 
341 
14 
13 
25 
16 

2 

7 
27 

2 
10 
12 
45 

7 

102 
1 

3 
17 
1 
3 
6 
4 
2 
3 
I 
12 
1 
1 
2 

3 
2 

572 

Hays    

4 

68 

6 

3 
10 

3 

8 
10 

5 
57 

4 
16 

5 

2 

2 

12 

Hidalgo 

10 

5 

1 

21 

Liberty    

1 

Lubbock  

2 

6 

T 

115 

Nueces    

2 

6 

27 
1 
3 

1 

4 

Parker  

Potter    

Randall    

Rockwall    

2 
7 
5 

176 


Table  10. — Number  of  Offenses  Known  to  the  Police,  Suburban  Counties,  1991 — Continued 


County  by  Slate 

Crime 
Index 
total 

Modified* 
Crime 
Index 
total 

Murder 
and  non- 
negligent 

man- 
slaughter 

Forcible 
rape 

Robbery 

Aggra- 
vated 
assault 

Burglary 

Larceny- 
theft 

Motor 

vehicle 

theft 

Arson* 

TEXAS— Continued 

San  Patricio    

584 

2,296 

2,088 

200 

415 

4,952 

632 

200 

287 

212 

2,130 

246 

16,616 
418 
763 

1,909 

12 

648 

10 

419 

13 

906 

24 

103 

11 

9,200 

54 

372 

18 

28,625 

38 

176 

4 

512 

25 

143 

13 

120 

2 

1,344 

53 

10,714 

32 

1,136 

3 

1,816 

22 

342 

25 

906 

45 

152 

11 

638 

3 

8,821 

33 

2,179 

25 

279 

6 

1,724 

39 

586 

2,341 

2,117 

201 

416 

4,967 

634 

201 

287 

242 

2.148 

246 

16.704 

445 

764 

1,910 

12 

653 

10 

421 

13 

914 

25 

103 

II 

9,285 

54 

374 

18 

28,852 

38 

176 

4 

515 

25 

143 

13 

120 

2 

1,347 

54 

10,805 

32 

1,138 

3 

1,820 

22 

342 

25 

912 

45 

152 

11 

643 

3 

8,936 

33 

2,190 

25 

279 

6 

1,748 

39 

63 

148 

197 

12 

106 

156 

33 

15 

34 

29 

82 

12 

772 

30 

31 

76 

189 

695 

698 

84 

88 

1,670 

240 

119 

119 

76 

497 

50 

2,465 

88 

168 

370 

3 

84 

1 

124 
2 

193 

5 

51 

5 

1,679 

4 

115 

304 

1,303 

1,025 

94 

201 

2,646 

328 

46 

107 

94 

1,399 

135 

12,501 

270 

503 

1,337 

9 

453 

6 

259 

8 

528 

13 

36 

4 

6,857 

47 

210 

12 

23,054 

26 

81 

2 

353 

18 

55 

8 

74 

1 

956 

40 

7,922 

28 

782 

2 

1,337 

13 

194 

12 

589 

12 

95 

6 

366 

1 

6,406 

21 

1,629 

21 

114 

3 

1,184 

27 

28 

114 

131 

4 

7 

349 

21 

18 

22 

7 

102 

14 

617 

17 

46 

93 

2 

Smith                                        

4 
6 

1 

12 

5 

20 
26 
5 
3 
56 
5 
1 
1 
5 
8 

1 
136 

2 
2 

16 

45 

Tarrant         

29 

10 
68 

5 

1 

7 

15 

2 

Waller 

2 

1 

Webb  

2 

1 

42 

34 

116 

10 

1 1 

16 

Wichita             

30 

Williamson  

18 

UTAH 

Davis  

9 

1 

2 

1 

Salt  Ukc    

88 

Utah    

27 

Weber  

1 

VIRGINIA 

Albemarle  Police  Department  

1 

Amherst 

4 

5 

6 

63 

33 
3 

24 
2 

51 
4 
5 
1 
352 
1 

22 

2 

1,984 

2 

6 

29 
2 
10 

5 

Amherst  State  Police  

Botetourt                         

6 

1 

1 

13 

1 

5 

2 

Campbell  

4 

17 

100 
1 
9 

g 

Charles  Citv    

1 

' 

Charles  City  State  Police    

1 
129 

Chesterfield  Police  Department     .  . .  . 

7 

42 
4 

134 

1 

12 

2 

357 

5 

7 

1 

18 

1 

4 
2 
9 

85 

Dmwiddie               , 

4 

1 

20 

5 

1 

477 

1 

1 

2 

Dinwiddie  State  Police  

72 
1 
2 

2,661 

3 

78 

227 

Flu\anna   

1 

Gloucester    

2 

3 

107 

4 

70 

3 
28 

3 

2 

2 

Goochland  State  Police    

1 

2 

1 

5 

1 
55 

7 
617 

1 
55 

Greene  State  Police    

2 

13 

35 

2 

237 

1 

76 

283 

4 

1,609 

3 

1 

9 

1 
5 

50 

270 

1 

15 

91 

James  City  Police  Department    

9 

194 
1 

256 

3 
113 

1 
216 

4 
44 

2 

189 

2 

Loudoun    

3 

9 

17 

88 
1 
8 
1 

45 
1 

4 
1 

35 

106 

5 
18 

9 
25 
28 

8 

2 
34 

2 
586 

6 
65 

3 
24 

4 

New  Kent  

7 

2 
-} 

10 

New  Kent  State  Police  

Pittsylvania 

3 

18 

5 

Pittsylvania  State  Police    

Powhatan    

1 

Powhatan  State  Police    

2 

5 

7 

5 

Prmce  William  Police  Department    

Prince  William  State  Police    

11 

72 

131 

4 

20 

286 

1 
113 

1.329 

1 
338 

1 
106 

1 
266 

1 

115 

2 

12 

Scott    

1 
1 
2 

5 

4 

25 
1 

85 
3 

Scott  Stale  Police    

Stafford    

II 

1 

42 
1 

134 
6 

24 

Stafford  State  Police    

177 


Table  10. — Number  of  Offenses  Known  to  the  Police,  Suburban  Counties,  1991 — Continued 


County  by  State 

Criine 
Index 
total 

Modified* 
Crime 
Index 
total 

Murder 
and  non- 
negligent 

man- 
slaughter 

Forcible 
rape 

Robbery 

Aggra- 
vated 
assault 

Burglary 

Larceny- 
theft 

Motor 

vehicle 

theft 

Arson* 

VIRGINIA— Continued 

Washington    

569 

23 

1,498 

8 

886 

6,802 

444 

30,289 
5,389 

17,204 
6,977 
3,008 
1,868 
3,583 

196 
790 
190 
128 
9 
1,115 
622 
309 

31 

28 
159 
181 

48 
685 

80 
149 
261 
548 

75 

1,304 
2.36 
437 

1,439 
512 
461 

1,342 
276 
739 
674 

1,156 
239 
893 
576 
515 
683 
939 

1,259 
622 

514 
520 

574 

31 

1,500 

9 

891 

6,865 

448 

30,617 
5,411 

17,344 
7,071 
3,033 
1,882 
3,619 

199 
807 
190 
129 
9 
1,115 
629 
310 

33 

28 
162 
181 

48 
685 

80 
151 
265 
550 

78 

1,304 
237 
440 

1.455 
514 
470 

1.357 
279 
741 
684 

1.156 
240 
893 
581 
518 
690 
941 

1,275 
622 

525 
526 

1 

13 

4 

59 

1 
38 

118 

152 

13 

1,033 
177 

1,153 
316 
144 
108 
135 

II 

41 
6 
6 

219 

2 

235 

252 

16 

1,100 

5 

462 

4,381 

254 

18,879 
3,558 

10,567 
3,825 
1.658 
1,038 
1,551 

85 

447 

123 

47 

4 

597 

286 

152 

20 

15 

57 

111 

36 

401 

35 

43 

93 

365 

30 

1.031 
176 
303 
718 
220 
300 
941 
181 
434 
546 
913 
149 
675 
322 
296 
399 
643 
833 
451 

294 
294 

21 

4 

79 

2 

26 
410 

24 
2.862 
309 
962 
584 
131 
103 
236 

20 

54 

19 

15 

3 

III 

106 

21 

1 

1 

9 
9 
2 
34 
3 

19 
43 
37 
13 

49 
8 
13 
78 
33 
21 
68 
14 
36 
66 
29 
16 
41 
25 
52 
42 
46 
76' 
33 

34 

25 

5 
8 

York    

4 

12 

30 

2 
1 

WASHINGTON 

33 

57 

6 

591 

75 

287 

102 

68 

26 

51 

1 

98 

3 

623 
41 

472 
91 
19 
II 
25 

4 

12 

2 

246 
1,703 

144 
6,281 
1.226 
3,740 
2,055 

987 

581 
1,582 

76 

221 

38 

60 

2 

333 

197 

105 

5 

12 
75 
52 
10 
209 
23 
68 
96 
128 
25 

180 

43 
103 
323 
245 
123 
302 

39 
220 

17 
162 

66 
157 
140 
135 
210 
215 
250 
118 

109 
166 

5 

Clark                

1 

63 

4 

20 

3 
23 

4 
1 
1 
3 

328 

22 

Pierce          

140 

94 

25 

Whatcom    

14 

36 

WEST  VIRGINIA 

3 

2 

13 

2 

17 

Cabell  State  Police 

1 

Hancock  State  Police 

5 
1 

5 
10 

7 

21 
6 

2 

43 
16 

22 
4 

7 

Marshall                                  

1 

2 

3 
3 

15 

5 

3 

' 

Ohio  State  Police 

1 
2 

2 

2 
8 

1 

6 

1 

7 

2 
7 

2 
10 
4 
1 
4 
g 

3 

2 
7 
4 

4 

1 

38 
3 
16 
10 
12 
3 

33 

4 

15 

303 

9 

11 

13 

33 

43 

31 

42 

7 

14 
73 
28 
25 
31 
83 
II 

62 
33 

14 

10 
6 

2 

1 
3 

1 

4 

2 

3 

WISCONSIN 

5 
3 
3 
8 
5 
2 

10 
9 
4 
4 
3 

Calumet                             

1 

Chippewa    

3 

2 

16 

Douglas     ... 

2 

2 

1 

9 

15 

3 

2 

10 

3 

1 

1 

1 

8 
3 
4 
1 
10 
5 

II 
1 

Rock    

5 

St    Croix   

1 
1 

3 

7 

Washington     

2 

16 

WYOMING 

11 

Natrona   

6 

'Forcible  rape  figures  furnished  by  the  stale-level  Uniform  Crime  Reporting  (UCR)  Program  admmistered  by  the  Illinois  Department  of  Stale  Police  were  not  in  accordance  with  national  UCR 
guidelines.  Therefore,  the  figures  were  excluded  from  the  forcible  rape.  Crime  Index  total,  and  Modified  Crime  Index  total  categories. 

^Data  for  1991  were  not  available  for  the  Indiana  State  Police.  The  figures  listed  are  only  those  reported  by  the  county  sheriffs'  department. 

'Complete  data  for  1991  were  not  available  for  the  State  of  Iowa;  therefore,  it  was  necessary  that  their  crime  figures  be  estimated.  See  "Offense  Estimation."  page  377  for  details. 


178 


Table  II. — Number  of  Offenses  Known  to  the  Police,  Rural  Counties  25,000  and  over  in  Population,  1991 

(The  dala  shown  in  this  tabic  do  not  reflecl  counl>  totals  but  are  the  number  of  olTenses  reported  by  the  shentTs  ofTice.  county  police  department,  or  state  police] 

•  Arson  is  shown  only  if   12  months  of  ar^on  data  yyere  received    Leaders  (    (  indicate  zero  data    The  Modified  Crime  Index  total  is  the  sum  of  the  Crime  IndexSee  footnotes  at  end  of  table 

offenses,  including  arson 


County  by  State 


Crime 
Index 
total 


Modified* 
Cnme 
Index 
total 


Murder 
and  non- 
negltgenl 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 

assault 


Burglary 


Larceny- 
theft 


Motor 

vehicle 

theft 


ALABAMA 

Cullman  

De  Kalh    

Jackson    

Lee   

Limestone  

Marshall    

ARIZONA 

Apache   

Cochise    

Toconino  

Mohave 

Navajo    

Ptnal    

Vavapai   

ARKANSAS 

Benton    

jarland    

.ndependence    

Vlississtppi    

iVhite    

CALIFORNIA 

Talaveras  

Taiaveras  Highway  Patrol  

Humboldt    

Humboldt  Highway  Patrol   

imperial   

imperial  Highway  Patrol   

(Cings 

ICings  Highway  Patrol  

Lake  

uake  Highway  Patrol  

Vladera  

Vladera  Highway  Patrol  

Nevada  

Nevada  Highway  Patrol  

ian  Luis  Obispo    

ian  Luis  Obispo  Highway  Patrol 

Tehama    

Tehama  Highway  Patrol    

Tuolumne   

Tuolumne  Highway  Patrol    

COLORADO 

viesa 

DELAWARE 

<ent  State  Police  

Sussex  State  Police  

FLORIDA 

ritrus    

ndian  River  

Dkeechobee    

'utnam    

GEORGIA 

Tarroll    

jlynn  Police  Department  

^all  


868 
182 
418 
725 
319 
407 


157 

1,136 
731 

1,290 
674 

1,727 
936 


812 
310 

975 
595 
716 


834 

78 

1,786 

72 

1,359 

85 

1,231 

78 

1,237 

45 

1,941 

113 

1,773 

106 

1,631 

124 

763 

58 

1,134 

51 


1,573 


1,975 
3,336 


2,114 
3,186 
1,474 
3.682 


1,504 
3,219 
2,506 


884 
183 
426 

325 


159 

1,145 
734 

1,296 
679 

1,742 
946 


816 
310 

975 
599 

734 


845 
1,805 
1.392 
1.243 
1,237 
2,021 
1,779 
1,644 

788 
1,141 

1,587 


1,978 
3,341 


2.125 
3,199 
1,483 
3,694 


48 
103 


116 
8 
21 
80 
60 
20 


26 
48 
61 
66 

72 
130 
94 


71 

4 

133 


50 
100 


377 
168 


92 
198 


110 


55 


59 


253 
457 


138 
258 
194 
428 


90 
541 

177 


267 
99 
184 
277 
101 
151 


44 
449 
224 
692 
295 
749 
294 


315 
120 
159 
169 
294 


371 
817 


479 
515 
487 
907 
594 
436 
242 
361 


387 


498 
966 


857 
1,024 

481 
1,228 


511 
665 
683 


388 
64 
170 
319 
131 
204 


77 
508 
377 
367 
264 
701 
460 


408 

122 
722 
295 
318 


369 

13 

779 


777 

II 
552 

18 

351 

8 

811 

18 
1,058 

17 
948 

34 

389 

1 

704 


1,028 


1,039 
1,639 


972 
1,575 

679 
1.665 


728 
1.818 
1,371 


7 
120 
31 
149 
31 
83 
66 


89 


87 


91 
115 


118 

208 

85 

205 


130 
122 
223 


179 


Table  11. — Number  of  Offenses  Known  to  the  Police,  Rural  Counties  25,000  and  over  in  Population,  1991 — Continued 


County  by  Stale 

Crime 
Index 
total 

Modified* 
Crime 
Index 
total 

Murder 
and  non- 
negligent 

man- 
slaughter 

Forcible 
rape 

Robbery 

Aggra- 
vated 
assault 

Burglary 

Larceny- 
Iheft 

Motor 

vehicle 

theft 

Arson* 

GEORGIA— Continued 

1,307 

4,212 
2,376 
7,130 

788 
1,129 
1,083 

296 
461 
316 
927 
496 

222 

66 
546 

51 

218 

3 

430 

22 
347 
341 
407 
765 

96 
120 
421 
468 

66 

1,028 

509 

147 

273 

24 
210 
265 
152 
646 

580 
492 
794 
785 

4,242 
2,385 
7,158 

791 
1,130 
1,091 

297 
463 
319 
929 
504 

66 
606 

55 

221 

3 

439 

22 
359 
341 
422 
765 
101 
120 
437 
484 

66 

1,085 

509 

148 

273 

24 
211 
266 
152 
649 

581 
496 
796 
785 

4 

6 
3 
6 

1 
3 
1 

20 

35 
17 
32 

4 

5 

20 

1 
3 
1 
1 
4 

2 

40 

23 
20 
54 

3 

7 
7 

44 

174 

55 

147 

22 
35 
60 

7 

5 

97 

29 
43 
35 
72 
3 

14 

10 
91 

347 

1,123 

555 

1,736 

162 
561 
420 

133 

33 

382 

60 

124 

97 

309 

159 

66 

12 
149 

23 
72 

765 

2,648 
1,632 
4,828 

550 
459 
528 

179 
101 

737 

185 
272 
165 
501 
312 

125 

34 
241 

24 

63 

2 

156 

17 
102 
149 
135 
375 

51 

75 
131 
149 

35 
511 
274 

90 

166 

5 

142 

83 

82 
182 

336 
198 
458 
420 

87 

203 
94 

327 

46 
59 

47 

15 
6 

57 

21 
16 
17 
41 
14 

13 

10 
47 

4 
14 

1 
40 

2 
49 
26 
67 
40 

8 

7 
43 
51 
10 
76 
27 

8 
14 

3 

6 
15 

5 
41 

II 

HAWAII 

30 

9 

28 

IDAHO 

3 

1 

8 

ILLINOIS' 

3 

1 

8 

12 

INDIANA^ 

1 

1 

2 
1 

3 
4 

2 

■} 

3 

2 

Wayne    

g 

IOWA3 

KANSAS 

Riley  Police  Department   

KENTUCKY 

Floyd  State  Police      

4 

13 

1 

60 

4 

Hardin  State  Police 

18 

1 

50 

3 

Harlan  State  Police    

4 

10 
1 

6 

2 

5 

3 

5 

97 

118 

2 

154 

133 

131 

178 

11 

32 

149 

114 

16 

257 

189 

37 

64 

6 

43 

48 

64 

229 

124 

74 

146 

224 

9 

Knox  State  Police 

1 

4 
9 
1 

1 

4 
6 
4 
4 

31 
21 
56 

164 

25 

6 

89 

117 

5 

153 

15 

5 

21 

5 

18 
51 

12 

15 

s 

3 

5 

6 

28 

4 

16 

16 

Pike 

4 

1 

15 
3 

7 
2 
5 

12 

5 

1 

1 
6 

8 

5 

8 

12 

57 

Pulaski    

Pulaski  State  Police    

1 

Scott                     

1 

Shelby   

1 

Shelby  State  Police 

68 

1 

2 

3 
1 

2 
2 

13 

5 

27 

8 

6 

173 

93 
187 
145 

78 

3 

LOUISIANA 

1 

Avoyelles  .        

4 

27 
43 

2 

St.  Landrv    

Sec  footnotes  al  end  of  table. 


180 


Table  11. — Number  of  Offenses  Known  to  the  Police,  Rural  Counties  25,000  and  over  in  Population,  1991 — Continued 


County  by  Stale 


Crime 
Index 
total 


Modified* 
Crime 
Index 
total 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 

vehicle 

theft 


LOUISIANA— Continued 

Vernon   

MAINE 

Aroostook   

Aroostook  State  Police   

Hancock    

Hancock  State  Police  

Penobscot   

Penobscot  State  Police   

Somerset    

Somerset  State  Police   

York    

York  Stale  Police    

MARYLAND 

Garrett    

Garrett  State  Police   

St.  Mary's  

St.  Mary's  State  Police  

Wicomico   

Wicomico  State  Police    

MICHIGAN 

Allegan   

Allegan  State  Police   

Barry   

Barry  State  Police   

Cass  

Cass  State  Police   

Grand  Traverse  

Grand  Traverse  State  Police  ... 

Hillsdale    

Hillsdale  State  Police    

lonia    

Ionia  State  Police    

Isabella  

Isabella  State  Police  

Lenawee  

Lenawee  State  Police  

Montcalm   

Montcalm  State  Police   

Newaygo    

Newaygo  State  Police    

St.  Joseph  

St.  Joseph  State  Police  

Sanilac    

Sanilac  State  Police    

Shiawassee    

Shiawassee  State  Police    

Tuscola  

Tuscola  State  Police  

Van  Buren   

Van  Buren  State  Police   

MINNESOTA 

Itasca  

Otter  Tail  

MISSISSIPPI 

Lee   

Warren   


1,083 


158 
491 
521 
54 
665 
237 
574 
228 
377 
361 


298 
241 
2,325 
509 
652 
632 


1,284 
609 
542 
496 
726 
278 

1.016 
456 
479 
169 
371 
463 
293 
573 
785 
388 

1,135 
307 
531 
417 
631 
254 
108 
225 
439 
233 
347 
342 

1,036 

1.148 


660 
811 


422 
490 


1,085 


159 
491 
521 
54 
668 
237 
574 
228 
382 
362 


298 
248 
2,334 
539 
652 
648 


1.293 
620 
550 
512 
731 
291 

1,026 
461 
483 
172 
373 
470 
298 
577 
788 
389 

1,141 
314 
535 
421 
632 
263 

227 
447 
236 
349 
346 
1.044 
1.180 


667 
817 


431 
490 


13 


3 
2 

1 

1 

3 

1 

3 

2 

2 

6 

22 

30 

9 

20 

7 

11 

6 

11 

58 

9 

26 

5 

12 

2 

33 

2 

22 

4 

19 

3 

43 

2 

25 

2 

28 

■) 

11 

1 

14 

4 

5 

2 

7 

3 

29 

3 

19 

2 

14 

3 

45 

2 

14 

1 

12 

2 

6 

1 

16 

5 

16 

1 

32 

7 

6 

5 

12 

3 

2 

28 

3 

I'y 

36 

3 

1 
4 

I 

6 

7 

5 

5 

249 


53 
13 

287 
45 
137 

42 


58 
43 
42 
35 
43 
16 
29 
7 
34 
15 
22 
55 
29 
23 
50 
30 

108 
14 
37 
24 
43 
12 
15 
15 
24 
15 
12 
27 
43 

103 


206 


76 
231 
218 

14 
260 

92 
186 

92 
179 
143 


74 
76 
781 
166 
121 
232 


339 
204 
164 
180 
322 
110 
207 
118 
126 

49 
106 
117 

69 
184 
182 
116 
404 
105 
241 
164 
166 
106 

27 

91 
169 

87 
114 
115 
465 
397 


231 

327 


183 
208 


552 


76 
204 
287 

24 
390 
111 
348 
105 


49 


165 
185 

19 
21 

151 

16 

127 

18 

1,145 

55 

237 

31 

358 

18 

304 

35 

760 

60 

310 

21 

308 

14 

228 

18 

287 

46 

116 

14 

707 

28 

288 

16 

281 

7 

89 

4 

210 

15 

266 

17 

169 

15 

309 

24 

487 

45 

208 

16 

517 

54 

155 

17 

232 

7 

200 

22 

372 

29 

110 

9 

34 

102 

10 

220 

15 

109 

9 

197 

19 

151 

18 

457 

48 

559 

49 

370 

40 

418 

44 

155 

37 

231 

15 

181 


Table  11. — Number  of  Offenses  Known  to  the  Police,  Rural  Counties  25,000  and  over  in  Population,  1991 — Continued 


County  by  Slate 


Crime 
Index 
total 


Modified* 
Crime 
Index 
total 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 

vehicle 

theft 


MISSOURI 

Camden   

Cole  

Pulaski 

St.  Francois  

MONTANA 

Missoula    

Silver  Bow  

NEW  HAMPSHIRE 

Hillsboro  State  Police  

Rockingham  State  Police  — 

NEW  MEXICO 

San  Juan  

NEW  YORK 

Allegany  Stale  Police  

Cattaraugus    

Cattaraugus  Stale  Police    

Cayuga 

Cayuga  Slate  Police   

Chenango    

Chenango  Slate  Police    

Clinton 

Clinton  Stale  Police  

Columbia    

Columbia  State  Police    

Delaware 

Delaware  State  Police  

Franklin  Slate  Police  

Fulton  

Fulton  Slate  Police  

Genesee   

Genesee  State  Police   

Jefferson    

Jefferson  State  Police    

Otsego  

Otsego  State  Police  

St.  Lawrence  

St.  Lawrence  State  Police  . . . 

Schoharie    

Schoharie  State  Police    

Sullivan   

Sullivan  State  Police   

Tompkins   

Tompkms  Stale  Police    

Ulster  Slate  Police    

Wyoming  

Wyoming  Slate  Police  

NORTH  CAROLINA 

Beaufort  

Brunswick  

Caldwell  

Carteret   

Chatham   

Cleveland    

Columbus   

Craven    

Duplin    

Halifax   

Harnett  

Haywood  


443 
390 
140 
229 


625 
1,281 


911 


591 
396 
648 
511 
568 
356 
291 
39 

1,427 
426 
632 
131 
458 
538 
745 
176 
579 
197 
569 
656 
145 
639 
664 
869 
140 
283 
838 
924 
819 
462 

1,200 
500 
168 


807 

533 

1,403 

966 

931 

1,954 

1. 171 

1,282 

806 

990 

2,158 

791 


449 
392 
140 
229 


631 
1,281 


921 


596 

652 

574 
358 
293 


635 

461 
560 
750 
177 

198 
593 
656 
149 
647 
670 
875 
142 
286 

942 

463 

1,218 
505 
168 


814 

533 

1,422 

970 

938 

1,955 

1,192 

1,286 

814 

1,000 

2,200 

794 


16 


136 


35 
10 

108 
9 
42 
83 
63 
84 

105 
13 

252 
9 


203 

116 

58 

71 


107 
187 


250 


53 

250 

38 

126 

50 

244 

56 

149 

53 

143 

43 

113 

22 

124 

■> 

151 

347 

11 

193 

50 

169 

7 

62 

26 

256 

76 

197 

45 

199 

15 

70 

33 

162 

29 

36 

6 

219 

29 

177 

2 

74 

37 

196 

56 

214 

66 

260 

1 

69 

21 

111 

108 

257 

44 

411 

51 

214 

12 

117 

130 

356 

75 

163 

79 

34 

447 
225 
500 
356 
470 
792 
551 
437 
332 
444 
916 
403 


188 

241 

45 

134 


436 
985 


430 


273 
201 
334 
274 
344 
187 
135 

37 
895 
201 
381 

56 
164 
252 
476 

81 
354 
107 
315 
427 

68 
380 
362 
516 

69 
134 
424 
433 
523 
318 
629 
236 

42 


263 
212 
684 
546 
362 
961 
461 
643 
295 
477 
772 
336 


20 

17 

5 

14 


48 

74 


67 


7 
31 

7 
21 
19 
12 

6 


21 
12 
25 

6 

8 
10 
20 

7 
21 
20 
19 
14 

1 
17 
23 
23 

1 
12 
33 
20 
26 

9 
56 
23 
10 


50 
63 
73 
44 
48 
88 
72 
83 
51 
30 
165 
37 


182 


Table  11. — Number  of  Oflenses  Known  to  the  Police,  Rural  Counties  2S.000  and  over  in  Population,  1991 — Continued 


Counly  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 

(heft 


NORTH  CAROLINA— Continued 

Henderson    

Iredell   

Jackson    

Johnston    

Lee   

Lenoir  

McDowell   

Moore 

Nash    

Pitt   

Richmond  

Robeson  

Rockingham    

Rutherford    

Sampson    

Stanly   

Surry   

OHIO 

Ashtabula    

Columbiana  

Coshocton  

Darke    

Huron   

Muskingum    

Ottawa    

Preble   

Seneca  

Shelby  

Wayne    

OREGON 

Coos    

Coos  State  Police  

Deschutes   

Deschutes  State  Police    

Douglas    

Douglas  Slate  Police    

Josephine    

Josephine  Stale  Police    

Klamath  

Klamath  State  Police  

Linn  

Linn  State  Police  

PENNSYLVANIA 

Armstrong  State  Police  

Bedford  State  Police    

Bradford  Slate  Police    

Butler  State  Police    

Clarion  State  Police   

Clearfield  State  Police    

Crawford  State  Police  

Franklin  State  Police  

Greene  State  Police    

Huntingdon  State  Police    

Indiana  State  Police  

Jefferson  State  Police    

Lawrence  State  Police  

Northumberland  State  Police    

Snyder  Stale  Police    

Susquehanna  Slate  Police   

Tioga  State  Police  

Venango  State  Police  


1,424 

926 

486 

2,195 

797 

816 

808 

958 

1.431 

2,035 

541 

1,155 

1,602 

1,032 

967 

839 

1.116 


1.879 
356 
505 
568 
457 

1.149 
516 
574 
353 
320 
699 


657 

71 

1.279 

303 

1,399 

110 

1,134 

44 

1,196 

323 

1,227 

52 


562 
561 
674 
1.369 
470 
646 
821 
955 
698 
543 
805 
369 
563 
406 
345 
288 
387 
646 


1.427 

928 

490 

2.195 

801 

824 

814 

968 

1.437 

2.048 

541 

1.171 

1.611 

1.045 

976 

840 

1,119 


1,909 
356 

570 
460 
1.167 
516 
581 
354 
322 


661 

73 

1.285 

312 

1.411 

115 

1,142 

46 

1.199 

334 

1,236 

57 


580 
576 
679 
1.405 
472 
662 
828 
970 
729 
551 
819 
373 
590 
409 
349 
299 
390 
659 


67 
50 
12 
80 

1 
37 
36 

106 
31 

119 
70 
62 

212 
43 
79 
41 
20 


591 
409 
268 
1.012 
388 
288 
244 
320 
608 
951 
154 
575 
535 
408 
401 
355 
396 


459 
74 
115 
211 
165 
318 
131 
206 
124 
68 
253 


196 

8 

366 

69 

408 

20 

324 

3 

362 

51 

446 

7 


225 
191 
342 
497 
199 
287 
367 
324 
284 
218 
346 
159 
191 
137 
96 
141 
207 
252 


612 
327 
184 
901 
355 
421 
481 
428 
674 
798 
249 
387 
754 
507 
388 
378 
594 


1.174 
195 
328 
249 
232 
758 
293 
310 
191 
191 
385 


370 

44 
805 
161 
824 

56 
724 

23 
720 
205 
609 

22 


251 
290 
242 
658 
229 
276 
357 
457 
281 
255 
337 
166 
248 
209 
205 
113 
131 
326 


129 

104 
15 

159 
40 
49 
40 
75 
60 

126 
49 
94 
76 
63 
75 
46 
97 


156 
33 
26 
35 
34 
37 
28 
37 
23 
10 
34 


43 

7 

87 

45 

70 

14 

48 

4 

55 

23 

64 

9 


47 
37 
43 
132 
25 
32 
66 
85 
89 
31 
70 
25 
58 
19 
33 
10 
26 
37 


183 


Table  II. — Number  of  Offenses  Known  to  the  Police,  Rural  Counties  25,000  and  over  in  Population,  1991 — Continued 


County  by  Slate 


Crime 
Index 
total 


Modified* 
Crime 
Index 
total 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny 
theft 


Motor 

vehicle 

thefl 


SOUTH  CAROLINA 

Beaufort  

Cherokee  

Chesterfield   

Colleton   

Darlington    

Georgetown    

Greenwood  

Horry  Police  Department    

Kershaw  

Lancaster  

Laurens    

Oconee  

Orangeburg    

Sumter    

Williamsburg  

TENNESSEE 

Bradley  

Greene    

Hamblen    

Roane   

TEXAS 

Anderson  

Angelina    

Bastrop  

Henderson    

Hood  

Hunt    

Rusk    

Starr  

Van  Zandt   

Wise  

UTAH 

Cache    

VIRGINIA 

Accomack   

Accomack  State  Police   

Augusta    

Augusta  State  Police    

Bedford    

Bedford  State  Police    

Buchanan    

Buchanan  State  Police    

Fauquier    

Fauquier  State  Police    

Franklin  

Franklin  Slate  Police  

Frederick  

Frederick  State  Police  

Halifax   

Halifax  State  Police   

Henry    

Henry  Stile  Police    

Rockingham    

Rockingham  State  Police  

Spotsylvania    

Spotsylvania  Slate  Police    

Tazewell 

Tazewell  State  Police  

Wise  

Wise  State  Police  


5,348 
804 
781 
1,240 
1.875 
1,285 
1,372 
5,320 
1,234 
1,642 
1,001 
1,024 
3,019 
3,030 
807 


620 
815 

429 
627 


705 
798 
841 
1.175 
696 
850 
734 
769 
567 
606 


667 


222 

40 
1,053 

38 
850 

13 
341 
104 
683 

38 

540 

6 

1,400 

32 
391 

28 
1,863 

29 
489 

33 
1.909 

42 
327 

57 
193 

29 


620 
836 
429 
630 


706 
802 
849 
1,177 
710 
855 
740 
772 
569 
614 


668 


224 

40 
1,062 

38 
854 

13 
345 
108 
716 

38 

542 

6 

1.402 

32 
394 

28 
1,875 

30 
493 

33 
1,909 

42 
328 

57 
193 

29 


26 


69 
II 
17 
23 
42 
21 
23 
73 
21 
24 
12 
7 
107 
59 
28 


507 

1,320 

3,187 

124 

280 

310 

102 

279 

302 

201 

357 

567 

264 

615 

793 

178 

398 

612 

176 

407 

700 

479 

1,624 

2,724 

126 

378 

622 

139 

412 

963 

177 

392 

335 

92 

332 

553 

507 

846 

1,228 

444 

978 

1,293 

143 

253 

316 

42 

59 

4 

105 


70 
16 
93 
184 
61 
90 
50 
79 
27 
39 


173 
346 
163 
197 


255 
264 
376 
517 
290 
431 
281 
347 
240 
279 


135 


52 

5 
216 

1 
292 

3 
123 
23 
119 

2 
163 


194 
2 

124 
3 

513 


120 

4 

231 

2 

62 

16 

63 

1 


317 
344 
223 
272 


327 
434 
315 
440 
308 
272 
339 
259 
257 
240 


495 


96 

26 
720 

24 

486 

8 

154 

48 
461 

25 

318 

6 

1.095 

23 
203 

22 
1.182 

20 
325 

10 
1,518 

29 
165 

36 
116 

15 


207 
70 
66 
81 

123 
62 
40 

355 
72 
83 
53 
33 

276 

206 
48 


80 
57 
32 
30 


38 
65 
38 
27 
27 
52 
45 
64 
34 
21 


33 


13 

8 
54 

9 
26 

2 
22 
22 
56 

8 
34 


60 
3 

11 
3 

85 
6 

18 

19 
123 
9 
8 
4 

14 


184 


Table  II. — Number  of  Offenses  Known  to  the  Police,  Rural  Counties  25,000  and  over  in  Population,  1991 — 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 


WASHINGTON 

Chelan    

Clallam  

Cowlitz  

Grant    

Grays  Harbor  

Island    

Lewis  

Mason  

Skagit    

WEST  VIRGINIA 

Berkeley  

Berkeley  State  Police  

Fayette   

Fayette  State  Police   

Harrison    

Harrison  State  Police    

Logan    

Logan  Slate  Police    

McDowell   

McDowell  State  Police  

Marion   

Marion  State  Police  

Mercer    

Mercer  State  Police    

Mingo   

Mingo  State  Police  

Monongalia    

Monongalia  State  Police    

Raleigh  

Raleigh  State  Police  

WISCONSIN 

Barron    

Clark   

Columbia    

Dodge  

Fond  Du  Lac  

Grant    

Jefferson    

Manitowoc   

Marinette    

Polk   

Portage  

Sauk  

Shawano    

Walworth    

Waupaca    

Wood    

STATE  AGENCIES 

Alaska  State  Police  

Arizona  Department  of  Public  Safety 

Colorado  State  Patrol    

Connecticut  State  Police    

Vermont  State  Police    

Wisconsin  State  Patrol    

OTHER  AREAS 

Guam    

Virgin  Islands  


1.248 
666 
683 
946 
775 
525 
907 
1,081 
1.298 


929 
474 
203 
333 
297 
159 
142 
513 
81 
139 
324 
92 
839 
157 
205 
191 
310 
459 
1,187 
228 


530 
329 
616 
405 
466 
356 
463 
504 
730 
641 
567 
244 
648 
676 
648 
593 


7,412 

13 

177 

8.884 

7.113 

15 


4.806 
11.502 


1,255 
679 
690 
946 
775 
526 
910 
1.084 
1,303 


944 
476 
203 
338 
298 
159 
144 
517 

81 
143 
344 

94 
839 
158 
206 
198 
311 
459 
1.206 
228 


531 
333 
621 
405 
466 
359 
465 
512 
733 
650 
567 
244 
648 
684 
648 
596 


7.487 
14 


8.984 
15 


4,814 
11,585 


143 


29 


64 
648 


657 

12 

5 

1,057 

161 

15 


160 

2,027 


279 
166 
249 
356 
290 
196 
298 
481 
378 


234 

188 
95 
89 
93 
64 
41 

122 
20 
59 

107 
30 

283 
63 
43 
67 
54 

127 

399 
47 


207 
120 
178 
129 

94 
110 

91 
139 
392 
294 
149 
5 
204 
188 
222 
178 


1,817 


2,895 
2,829 


866 
438 
306 

480 
394 
255 
472 
487 
817 


545 

225 

85 

192 

159 

58 

59 

272 

35 

30 

161 

44 

357 

56 

59 

70 

234 

253 

648 

162 


227 
176 
385 
237 
340 
215 
329 
290 
277 
274 
362 
235 
387 
439 
336 
374 


4,185 
1 
2 

3,990 

3,775 


53 
30 
20 
28 
23 
28 
27 
88 
6 
30 
25 
14 
50 
24 
28 
42 
18 
64 
77 
15 


569 


167 

747 
261 


774 
3,719 


3,302 
3,986 


412 
1,013 


'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 
guidelmes-  Therefore,  the  figures  were  excluded  from  the  forcible  rape.  Crime  Index  total,  and  Modified  Crime  Index  total  categories. 

^Complete  data  for  1991  were  not  available  for  the  Indiana  State  Police-  The  figures  listed  are  only  those  reported  by  the  county  sherilTs'  departments. 

'Data  for  1991  were  not  available  for  the  State  of  Iowa;  therefore,  it  was  necessary  that  their  crime  counts  be  estimated.  See  "Offense  Estimation,"  page  377  for  details. 


185 


Table  12. — Crime  Trends,  Offenses  Known  to  the  Police,  Population  Group,  1990-1991 

(1991  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 


TOTAL  ALL  AGENCIES: 
12.638  agencies; 
population  232,183,000: 

1990  

1991   

Percent  change    


TOTAL  CITIES:  8,806  cities; 
population  156,312,000: 

1990  

1991   

Percent  change    


13.510,753 

13,863,499 

-h2.6 


11.015,353 
11,263,425 

-t-2.3 


Group  I 

63  cities,  250,000  and  over; 
population  45,554,000: 

1990   

1991    

Percent  change  

8  cities,  1,000,000,  and  over; 
population  20,181,000: 

1990   

1991    

Percent  change 

18  cities,  500,000  to  999,999; 
population   12,046,000: 

1990  

1991    

Percent  change  

37  cities,  250,000  to  499,999; 
population   13,327,000: 

1990  

1991    

Percent  change   

Group  II 

127  cities,   100,000  to  249,999 
population  18,743,000: 

1990  

1991    

Percent  change  

Group  III 

337  cities,  50,000  to  99,999; 
population  23,094,000: 

1990   

1991    

Percent  change  

Group  IV 

661  cities,  25,000  to  49,999; 
population  22,956,000: 

1990   

1991    

Percent  change  


525,121 

565,771 

-I-.9 


!,02 1,765 
1,011,549 

-.5 


138,378 

136,289 

-,2 


,364,978 

,417,933 

+3.9 


1,541,246 

1.585,486 

-1-2.9 


1,503,286 

1,548,423 

-t-3.0 


1,307,850 
1,349,466 

4-3.2 


13,610.014 

13,963,283 

-1-2,6 


11,093,847 
11,342,429 

-1-2,2 


4,564,653 
4,603,881 

+.9 


2,042,804 

2,030,808 

-.6 


1,146,154 
1,143,690 


1,375,695 
1,429,383 

4-3.9 


1,552,895 

1,597,681 

-1-2.9 


1,512,923 

1,558,031 

-1-3.0 


1,315,172 
1,357,250 

-1-3.2 


1.721.084 

1,804.951 

-1-4,9 


1,454.843 

1,526.776 
-1-4.9 


807,258 
845,386 

-1-4.7 


445,840 

464,815 

4-4.3 


159,411 
161,606 

-t-1.4 


202,007 

218,965 

4-8.4 


190,051 

202,173 

4-6.4 


165,672 

173,254 

4-4.6 


122,761 

128,468 

4-4.6 


11,789,669 
12.058.548 

4-2,3 


9,560.510 

9.736.649 

4-1,8 


3,717,863 

3,720,385 

4-. I 


1,575,925 

1,546,734 

-1.9 


978,967 

974,683 

-.4 


1,162,971 

1,198,968 

4-3.1 


1,351,195 
1,383,313 

4-2.4 


1,337,614 
1,375,169 

4-2.8 


1,185,089 

1,220,998 

4-3.0 


22.259 
23.440 

4-5,3 


17.904 

19.030 

4-6.3 


11,401 
11,939 

4-4.7 


6,314 
6,436 
4-1.9 


2,726 
2,789 

4-2.3 


2,361 
2,714 
4-15.0 


2,081 
2,344 
4-12.6 


1,493 
1,801 
4-20.6 


1,209 
1,228 
4-1.6 


91.390 

94.667 

4-3.6 


69.720 
71.360 

4-2.4 


30,985 

30,536 

-1.4 


10,649 

10,082 

-5.3 


9,045 

9,012 

-.4 


11,291 

11,442 

4-1,3 


11,134 

11,358 

4-2.0 


9,476 
9,901 

4-4.5 


7,507 
7,982 
4-6.3 


618.588 

665,385 

4-7,6 


562,458 
603.525 

4-7.3 


379,910 

403,645 

4-6.2 


227,167 
240,031 

4-5.7 


72,697 

76,193 

4-4.8 


80,046 

87,421 

4-9.2 


65,734 

72,063 

4-9.6 


5 1 . 1 99 
56,769 
4-10.9 


34,289 

36,671 

4-6.9 


988.847 

1,021.459 

4-3.3 


804.761 
832,861 

4-3.5 


384,962 
399,266 

4-3.7 


201,710 

208,266 

4-3,3 


74,943 

73,612 

-1.8 


108,309 

117,388 

4-8.4 


111,102 

116,408 

4-4.8 


103,504 
104,783 

4-1.2 


79,756 
82,587 

4-3,5 


2.848,891 
2,920.273 

4-2,5 


2.177,645 

2,221,569 

4-2,0 


883,066 

891,143 

4-.9 


364,481 

357,555 

-1.9 


230,639 
234,596 

4-1.7 


287,946 

298,992 

4-3.8 


328,981 
339,370 

4-3,2 


305,653 

311,754 

4-2.0 


260,431 
267,588 

4-2.7 


7.380,099 

7.552.218 

4-2.3 


6,048,771 

6,161,317 

4-1.9 


2,076,729 

2,069,984 

-.3 


806,227 

793,628 

-1.6 


582,859 

574,563 

-1.4 


687,643 

701,793 

4-2.1 


855,416 

867,930 

4-1,5 


870.740 
898.706 

4-3.2 


813,757 

838,141 

4-3.0 


1.560,679 

1,586,057 

+1.6 


1,334,094 

1,353,763 

4-1.5 


758,068 

759,258 

4-.2 


405,217 

395,551 

-2.4 


165,469 

165,524 

4-.0 


187,382 

198,183 

4-5.8 


166,798 
176,013 

4-5,5 


161,221 
164,709 

4-2.2 


110,901 

115,269 

4-3.9 


186 


Table  12. — Crime  Trends,  Offenses  Known  to  the  Police,  Population  Group,  1990-1991 — Continued 


Population  group 


Crime 
Index 
total 


Modified 
Crime 
Index 
total' 


Violent 
cnme^ 


Property 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 

vehicle 

I  heft 


Group  v 

1,554  cities.  10.000  to  24.999; 
population  24.567,000: 

1990  

1991    

Percent  change  

Group  VI 

6,064  cities  under  10.000; 
population  21.398,000: 

1990  

1991    

Percent  change  

Suburban  Counties 

1,194  agencies; 
population  48,103,000: 

1990  

1991    

Percent  change  

Rural  Counties* 

2,638  agencies; 
population  27,768,000: 

1990  

1991    

Percent  change  


1. 176.186 
1. 213.901 

-1-3.2 


961,664 

1.000,378 

-1-4.0 


1,923,247 

1,997,259 

-1-3.8 


572,153 
602,815 

+  5.4 


1,181,966 
1.220,038 

-h3.2 


966,238 

1,005,548 

-1-4  1 


1,939,025 

2,013,176 

-1-3.8 


577,142 
607,678 

-1-5.3 


94,805 

99,911 

-1-5.4 


74,296 
77,584 

-1-4.4 


209,464 

218,130 

-1-4.1 


56,777 
60,045 

-f-5.8 


1,081,381 

1,113,990 

-^3.0 


887,368 

922,794 

-1-4.0 


1,713,783 

1,779,129 

-t-3.8 


515,376 

542.770 

-t-5.3 


955 
979 

-1-2.5 


765 

739 

-3.4 


2,784 
2,850 

-1-2.4 


1,571 
1,560 

-.7 


6,026 
6,791 

-H2.7 


4,592 
4,792 

-1-4.4 


15,456 
16,598 

-1-7.4 


6,214 
6,709 
-1-8.0 


20,700 

22,586 

-1-9.1 


10,626 
11,791 

-mo 


51.809 
57.049 
-I-IO.I 


4,321 
4,811 
+  11.3 


67.124 

69,555 

+  3.6 


58,313 

60,262 

+3.3 


139,415 

141,633 

+  1,6 


44.671 
46,965 

+5.1 


221,704 

228,667 

+3.1 


177,810 

183,047 

+2.9 


480.882 

494.771 

+2.9 


190,364 
203,933 

+7.1 


776,208 

800,255 

+  3.1 


655,921 

686,301 

+4.6 


1,040,747 
1,086,328 

+4.4 


290,581 

304,573 

+4.8 


83,469 

83,068 

+  1.9 


53,637 

53,446 

-.4 


192,154 
198,030 

+3.1 


34,431 
34,264 

-.5 


5,780 
6,137 
+6.2 


4,574 
5,170 
+  13.0 


15,778 

15,917 

+.9 


4,989 
4,863 
-2.5 


Suburban  Area' 

5,996  agencies; 
population  95,204,000: 

1990   

1991    

Percent  change 


4,182,396 

4,327,453 

+3.5 


4,209.970 
4,356,183 

+3.5 


394,695 

410,377 

+4.0 


3,787,701 
3,917,076 

+  3.4 


4,522 
4,598 

+  1.7 


26,371 

28.443 

+7.9 


99.836 

108.465 

+8.6 


263.966 

268.871 

+  1.9 


904,521 

930,435 

+2.9 


2,498.429 
2,591,989 

+3.7 


384,751 
394.652 

+2.6 


27,574 

28,730 

+4.2 


'The  number  of  agency  repons  used  in  arson  trends  is  less  than  used  in  compiling  trends  for  other  Crime  Index  offenses.  It  is  not  necessary  to  report  arsons  by  property  classification  to  be 
included  in  this  table.  The  Modified  Crime  Index  total  is  the  sum  of  the  Crime  Index  offenses,  including  arson. 

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

'Property  crimes  are  offenses  of  burglary,  larceny-theft,  and  motor  vehicle  theft.  Data  are  not  included  for  the  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  state-level  Uniform  Crime  Reporting  (UCR)  Program  administered  by  the  Illinois  Department  of  Stale  Police  were  not  in  accordance  with  national  UCR 
guidelines  and  were  excluded  from  the  forcible  rape,  violent  crime.  Crime  Index  total,  and  Modified  Crime  Index  total  categories. 

Complete  data  for  1991  were  not  available  for  the  State  of  Iowa.  See  "Offense  Estimation,"  page  377  for  details. 


187 


Table  13. — Crime  Trends,  Offenses  Known  to  the  Police,  Suburban  and  Nonsuburban  Cities',  Population  Group,  1990-1991 

[1991  estimated  population) 


Population  group 

Crime 
Index 
total 

ModiHed 
Crime 
Index 
total' 

Violent 
crime' 

Property 
crime* 

Murder 
and  non- 
negligent 

man- 
slaughter 

Forcible 
rape 

Robbery 

Aggra- 
vated 
assault 

Burglary 

Larceny- 
theft 

Motor 

vehicle 

theft 

Arson^ 

Suburban  Cities 

TOTAL  SUBURBAN  CITIES: 

4,802  cities: 
papulation  47.101,000: 

1990  

2,259,149 

2,330,194 

+3.1 

2,270,945 

2,343,007 

+3,2 

185.231 

192,247 

+3.8 

2,073,918 

2,137,947 

+3.1 

1,738 

1,748 
+.6 

10,915 
11.845 

+8.5 

48,027 
51,416 

+7.1 

124,551 
127,238 

+2.2 

423,639 
435.664 

+2,8 

1,457,682 
1,505,661 

+3.3 

192,597 
196,622 

+2,1 

11,796 

1991  

12,813 

+8.6 

Group  IV 

497  cities,  25,000  to  49,999; 
population  17,218,000; 

1 990                          

913,275 
935,621 

+2.4 

780,705 
809,576 

+3.7 

565,169 

584,997 

+3.5 

1,186,551 

1,233,551 

+4,0 

918,550 
941,131 

+2.5 

784,484 
813,748 

+3.7 

567,911 

588,128 

+3.6 

1,192,431 

1,239,829 

+4.0 

85,831 
88,133 

+2.7 

60,961 

65,060 

+6.7 

38,439 

39,054 

+  1.6 

106,631 

113,716 

+6.6 

827,444 
847,488 

+2.4 

719,744 

744,516 

+3,4 

526,730 

545,943 

+3.6 

1,079,920 
1,119,835 

+3,7 

806 

821 

+  1.9 

588 

596 

+  1.4 

344 

331 

-3.8 

1,191 

1,198 

+.6 

4,730 
5,044 
+6.6 

3,721 
4,304 
+  15.7 

2,464 
2,497 
+  1.3 

7,210 

7,720 
+7.1 

25.322 

26.546 

+4.8 

15,498 
17,095 
+  10.3 

7,207 
7,775 
+7.9 

17,588 
19,632 
+  11.6 

54.973 

55.722 

+  1.4 

41,154 

43,065 

+4,6 

28,424 

28,451 

+.1 

80,642 

85,166 

+5.6 

179,119 

182,626 

+2.0 

145,331 
150,676 

+3.7 

99,189 

102,362 

+3.2 

236,306 

243,638 

+3.1 

559,116 

572,621 

+2.4 

508,143 

526,142 

+3.5 

390,423 
406,898 

+4.2 

788,204 

819,036 

+3,9 

89,209 

92,241 

+3.4 

66,270 
67,698 

+2.2 

37,118 

36,683 

-1.2 

55,410 
57,161 

+3.2 

5,275 

1991    

5,510 

+4.5 

Group  V 

1,124  cities,   10,000  to  24,999; 
population   17,852,000; 

1990                            

3,779 

1991          

4,172 

+  10.4 

Group  VI 

3,181  cities  under  10,000; 
population  12,031,000; 
1990 

2,742 

1991            

3,131 

+  14.2 

Nonsuburban  Cities 

TOTAL  NONSUBURBAN 
CITIES:  3,477  cities; 
population  21,820,000: 

1990  

5,880 

1991   

6,278 

+6.8 

Group  IV 

164  cities,  25,000  to  49,999; 
population  5,738,000; 
1990 

394,575 

413,845 

+4.9 

395,481 
404,325 

+2.2 

396,495 

415,381 

+4.8 

396,622 

416,119 

+4.9 

397,482 
406,290 

+2.2 

398,327 

417,420 

+4.8 

36,930 
40,335 

+9.2 

33,844 

34,851 

+3,0 

35.857 
38,530 

+7.5 

357,645 

373,510 

+4.4 

361,637 
369,474 

+2.2 

360,638 

376,851 

+4.5 

403 

407 

+  1.0 

367 

383 

+4.4 

421 

408 

-3.1 

2,777 
2,938 
+5.8 

2,305 
2,487 
+7.9 

2,128 
2.295 
+7.8 

8,967 
10,125 
+  12.9 

5,202 
5,491 
+5.6 

3,419 
4.016 

+  17.5 

24,783 

26,865 

+8.4 

25,970 

26,490 

+2.0 

29,889 

31,811 

+6.4 

81,312 
84,962 

+4.5 

76,373 

77,991 

+2.1 

78,621 

80,685 

+2.6 

254,641 

265,520 

+4.3 

268,065 
274,113 

+2.3 

265,498 
279,403 

+5.2 

21,692 

23,028 

+6.2 

17,199 

17,370 

+  1.0 

16,519 

16,763 

+  1.5 

2,047 

1991       

2,274 

+  11.1 

Group  V 

430  cities,  10,000  to  24,999; 
population  5,715,000; 

1990   

2,001 

1991    

1,965 

Percent  change  

-1.8 

Group  VI 

2,883  cities  under  10,000; 

population  9,367,000: 

1990 

1,832 

I99I    

2,039 

Percent  change 

+  11.3 

'Suburban  places  are  within  Metropolitan  Statistical  Areas  (MSAs)  and  include  suburban  city  and  county  law  enforcement  agencies  within  the  metropolitan  area.  Central  cities  are  excluded. 
Nonsuburban  places  are  outside  MSAs. 

n~he  number  of  agencies  used  in  arson  trends  is  less  than  used  in  compiling  trends  for  other  Crime  Index  offenses.  It  is  not  necessary  to  report  arsons  by  property  classification  to  be  included 
in  this  table.  The  Modified  Crime  Index  total  is  the  sum  of  the  Crime  Index  offenses,  including  arson. 

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

*Property  crimes  are  offenses  of  burglary,  larceny-theft,  and  motor  vehicle  thefi.  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  Illinois  Department  of  State  Police  were  not  in  accordance  with  national  UCR 
guidelines  and  were  excluded  from  the  forcible  rape,  violent  crime.  Crime  Index  total,  and  Modified  Crime  Index  total  categones. 

Complete  data  for  1991  were  not  available  for  the  State  of  Iowa.  See  "Offense  Estimation,"  page  377  for  details. 


188 


Table  14. — Crime  Trends,  Offenses  Known  to  the  Police,  Suburban  and  Nonsuburban  Counties,  Population  Group,  1990-1991 

[1991  estimated  population] 


Population  group 

Cnme 
Index 

total 

Modified 
Crime 
Index 
total  1 

Violent 
crime- 

Property 
crime' 

Murder 
and  non- 
negligent 

man- 
slaughter 

Forcible 
rape 

Robberv' 

Aggra- 
vated 
assault 

Burglary 

Larceny- 
theft 

Motor 

vehicle 

theft 

Arson' 

Suburban  Counties^ 

100,000  and  over 

1 15  counties; 

population  29,508,000: 

1990  

1.387.715 

1,398.970 

154.530 

1.233,185 

1.888 

9,844 

45.189 

97.609 

331,190 

754.192 

147.803 

11,255 

1991    

1.440.242 

1,451.188 

162.121 

1.278,121 

1.966 

10,584 

49.782 

99.789 

336,801 

789.683 

151.637 

10,946 

Percent  change  

+3.8 

+3.7 

+4.9 

+3.6 

+4.1 

+7.5 

+  10.2 

+2.2 

+  1.7 

+4.7 

+2.6 

-2.7 

25.000  to  99.999 

314  counties; 

population  16,054,000: 

1 990   

401.264 

404.099 

40.063 

361.201 

669 

3,858 

4.413 

31.123 

119,834 

217,623 

23.744 

2,835 

1991    

418.134 

421.257 

40.693 

377.441 

648 

4,169 

4.945 

30.931 

126.880 

226,041 

24.520 

3,123 

Percent  change  

+4.2 

+4.2 

+  1.6 

+4.5 

-3.1 

+8.1 

+  12.1 

-.6 

+5.9 

+3.9 

+3.3 

+  10.2 

Under  25.000 

752  counties; 

population  2,313,000: 

1990   

130,391 

132.067 

14.521 

115.870 

216 

1,724 

2.174 

10.407 

28.606 

66.882 

20.382 

1.676 

1991    

134,668 

136,495 

14.787 

119.881 

223 

1,806 

2.273 

10.485 

29.785 

68.424 

2l!672 
+6.3 

1.827 

Percent  change  

+3.3 

+3.4 

+  1.8 

+3.5 

+3.2 

+4.8 

+4.6 

+.7 

+4.1 

+2.3 

+9.0 

Nonsuburban  Counties^ 

25.000  and  over 

284  counties; 

population  11.535,000: 

1990  

233.585 

235.269 

23.007 

210,578 

549 

2.460 

2.141 

17,857 

75.577 

121.215 

13,786 

1,684 
1,613 

1991    

246.528 

248,141 

24.222 

222,306 

560 

2.706 

2.354 

18,602 

82.073 

126.549 

13.684 

Percent  change  

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+5.6 

+2.0 

+  1.1 

+9.9 

+4.2 

+8.6 

+4.4 

-.7 

-4.2 

10.000  to  24.999 

677  counties; 

population  10,743,000; 

1990  

177,984 

179.311 

17.007 

160.977 

527 

1.650 

1.176 

13,654 

63.070 

88.073 

9.834 

1.327 

1991    

188,356 

189.654 

18.312 

1  70.044 

498 

1.640 

1.346 

14,828 

67,383 

92.582 

10,079 

1.298 

Percent  change  

+5.8 

+5.8 

+7.7 

+5.6 

-5.5 

-.6 

+  14.5 

+8.6 

+6.8 

+5.1 

+2.5 

-2.2 

Under  10,000 

1.580  counties; 

population  4,848,000: 

1990  

128,978 

130.714 

13.914 

1  1  5.064 

449 

1,809 

800 

10,856 

42,171 

64,548 

8,345 

1.736 

1991    

133.698 

135.469 

14.506 

119.192 

443 

1,989 

870 

1 1,204 

44.207 

66,792 

8,193 

1,771 

Percent  change  

+3.7 

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+4.3 

+3.6 

-1.3 

+  10.0 

+8.8 

+3.2 

+4.8 

+3.5 

-1.8 

+2.0 

'The  number  of  agencies  used  in  arson  trends  are  less  than  used  in  compiling  trends  for  other  Cnme  Index  offenses.  It  is  not  necessary  to  report  arsons  by  property  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  burglary,  larceny-theft,  and  motor  vehicle  theft.  Data  are  not  included  for  the  properly  crime  of  arson. 

*Crime  offenses  include  shenffs'  and  county  law  enforcement  agencies.  State  police  offenses  are  not  included. 

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

Complete  data  for  1991  were  not  available  for  the  State  of  Iowa.  See  "Offense  Estimation.'"  page  377  for  details. 


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191 


Table  16. — Crime  Rates,  Offenses  Known  to  the  Police,  Population  Group,  1991 

[1991  estimated  population.  Rate;  Number  of  crimes  per  100.000  inhabitants] 


Population  group 


Crime 
Index 
total 


Modified 
Crime 
Index 
total' 


Violent 
crime^ 


Property 
cnme^ 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 

vehicle 

theft 


Arson' 


TOTAL  ALL  AGENCIES: 

11,502  agencies; 
population  217,344,686: 
Number  of  offenses  known 
Rate   


TOTAL  CITIES:  8,029  cities; 
population  147,679,000: 
Number  of  offenses  known 
Rale   


Group  I 

62  cities,  250,000  and  over; 
population  44,517,000: 
Number  of  offenses  known 
Rate    


8  cities,  1,000,000  and  over; 
population  20,181,000: 
Number  of  offenses  known 
Rate    


I  7  cities,  500.000  to  999,999; 
population   1 1 ,050,000: 
Number  of  offenses  known 
Rate    


37  cities,  250,000  to  499,999; 
population   13,286,000: 
Number  of  offenses  known 
Rate    


Group  II 

125  cities,   100,000  to  249,999; 
population   18,385,000; 
Number  of  offenses  known 
Rate    


Group  III 

317  cities,  50,000  to  99,999; 
population  21,808.000: 
Number  of  offenses  known 
Rate   


13,332,964 
6.134.5 


10,909.310 

7,387.2 


4,502,078 
10,113.3 


2,013,181 
9,975.8 


1,053,624 
9,535.1 


1,435,273 
10.802.9 


1,565,803 
8,516.8 


1,492.272 
6,842.8 


,761,096 
810.3 


1,571,868 

5,324.2 


22,871 
10.5 


96.440 
44.3 


653,432 
300.6 


988,353 

454.7 


2,797,332 
1,287.0 


7,235,550 
3,329.1 


1,538,986 
708.1 


,498,968 
1,015.0 


9,410,342 
6,372.2 


18,729 
12.7 


73.623 
49.9 


595,244 
403.1 


811,372 
549.4 


2,147.479 
1,454.2 


5,939,153 
4,021.7 


1,323,710 
896.3 


841,476 
1,890.3 


466,447 
2,311.4 


152,320 
1,378.5 


222,709 
1,676.3 


199,604 
1,085.7 


168,556 
772.9 


3,660,602 
8,223.0 


1,546,734 
7,664.5 


901,304 
8,156.6 


1,212,564 
9,126.6 


1,366,199 
7,431.1 


1,323,716 
6,069.9 


11,870 
26.7 


6,436 
31.9 


2,673 
24.2 


2,761 
20.8 


2,307 
12.5 


1,764 
8.1 


32,312 
72.6 


11,714 
58,0 


8,604 

77.9 


11,994 
90.3 


11,397 
62.0 


10,069 
46.2 


402,946 
905.2 


240,031 
1.189.4 


73,341 
663.7 


89,574 
674.2 


71,048 
386.4 


54.814 
251.3 


394,348 
885.8 


208,266 
1,032,0 


67,702 
612.7 


118,380 
891.0 


114.852 
624.7 


101,909 
467.3 


875,439 
1,966.5 


357,555 
1,771.8 


214,175 
1,938.2 


303,709 
2,285.9 


334,659 
1.820.3 


299,448 
1,373.1 


2,036,634 
4,575.0 


793,628 
3,932.6 


535,584 
4,846.9 


707,422 
5,324.6 


856,739 
4,660.0 


863,065 
3,957.6 


748,529 
1,681.5 


395,551 
1,960.1 


151,545 
1,371.4 


201,433 
1,516.1 


174,801 
950.8 


161,203 
739.2 


192 


Table  16. — Crime  Rates,  Offenses  Known  to  the  Police,  Population  Group,  1991 — Continued 

[1991  estimated  population.  Rate:  Number  of  crimes  per  100,000  mhabilants) 


Population  group 


Crime 
Index 
total 


Modified 
Crime 
Index 
total' 


Violent 
crime- 


Property 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 

vehicle 

theft 


Group  IV 

504  cities,  25,000  to  49,999; 
population  21.061,000: 

Number  of  offenses  known 
Rate    


Group  V 

1,440  cities,  10,000  to  24,999; 
population  22,777,000: 
Number  of  offenses  known 
Rate   


Group  VI 

5,481  cities  under  10,000; 
population  19,132,000: 
Number  of  offenses  known 
Rate    


Suburban  Counties 

1,085  agencies; 
population  44.224.000: 
Number  of  offenses  known 
Rate   


Rural  Counties' 

2,388  agencies; 
population  25.442,000: 
Number  of  offenses  known 
Rate    


1.262.296 
5,993.5 


1.148,334 
5.041.7 


938,527 
4,905.5 


1,866,065 
4,219.6 


557,589 
2,191.6 


122,176 
580.1 


95,034 
417.2 


72,122 
377.0 


207,779 
469.8 


54,349 
2 1 3.6 


1,140,120 
5,413.4 


1,053.300 
4,624.5 


866,405 
4,528.6 


,658,286 
3,749.8 


503.240 
1,978.0 


1.165 
5.5 


937 
4.1 


686 
3.6 


!.7 1 3 
6.1 


1,429 
5.6 


8,073 
38.3 


7.002 
30.7 


4,770 
24.9 


16.344 
37.0 


6,473 
25.4 


34,539 
164.0 


21,153 
92.9 


10,744 
56,2 


53,872 
121.8 


4,316 
17.0 


78.399 

372.2 


65.942 
289.5 


55,922 
292.3 


134,850 
304.9 


42,131 
165.6 


249,639 
1,185.3 


217.252 
953.8 


171,042 
894.0 


461,327 
1.043.2 


88,526 
741.0 


780,746 
3.707.0 


755.820 
3,318.4 


645.149 
3,377.3 


1.012,987 
2,290.6 


283,410 
1,114.0 


109,735 
521.0 


80,228 
352.2 


49,214 
257.2 


183,972 
416.0 


31,304 
123.0 


Suburban  .Area' 

5,433  agencies; 
population  87,331,000: 
Number  of  offenses  known 
Rate    


4,051,801 
4,651.0 


389,274 
445.7 


3.672,527 
4,205.3 


4,383 
5.0 


28.451 
32.6 


101,884 
116.7 


254,556 
291.5 


871,739 
998,2 


2,431,200 
2,783.9 


369,588 
423.2 


'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  rales 
appear  on  page  54  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  tor  the  property  crime  of  arson. 

'Includes  state  police  agencies  with  no  county  breakdown. 

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

Population  figures  were  rounded  to  the  nearest  thousand.  All  rates  were  calculated  on  the  population  before  rounding. 

Forcible  rape  figures  furnished  by  the  state-level  Uniform  Crime  Reporting  (UCR)  Program  administered  by  the  Illinois  Department  of  State  Police  were  not  in  accordance  with  national 
UCR  guidelines    See  Appendix  I  for  details 

Complete  data  for  1991  were  not  available  for  the  State  of  Iowa    See  "Offense  Estimation,"  page  377  for  details. 


193 


Table  17. — Crime  Rates,  Offenses  Known  to  the  Police,  Suburban  and  Nonsuburban  Cities',  Population  Group,  1991 

(1991  estimaled  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^ 


Suburban  Cities 

TOTAL  SUBURBAN  CITIES: 
4,348  cities: 
population  43,108,000: 

Number  of  offenses  known 
Rate   


Group  IV 

456  cities,  25,000  to  49,999; 
population  15.842.000; 
Number  of  offenses  known 
Rate   


Group  V 

1,044  cities.   10.000  to  24,999; 
population   16,617,000: 
Number  of  offenses  known 
Rate    


Group  VI 

2,848  cities  under  10,000; 
population   10.649.000: 
Number  of  offenses  known 
Rate    


Nonsuburban  Cities 

TOTAL  NONSUBURBAN 
CITIES:  3,177  cities; 
population  19,862,000: 
Number  of  offenses  known 
Rate  


Group  IV 

148  cities,  25,000  to  49,999; 
population  5,219,000: 
Number  of  offenses  known 
Rate    


Group  V 

396  cities,  10,000  to  24,999; 
population  6,160,000: 
Number  of  offenses  known 
Rate    


Group  VI 

2,633  cities  under  10.000; 
population  8.483.000: 
Number  of  offenses  known 
Rate  


2,195,704 

5,093.5 


880,136 

5,555.7 


769,782 
4,632.5 


545,786 
5,125.3 


1,153,330 
5,806.7 


382,156 
7.322.3 


378.437 
6.143.8 


392,737 
4,629.6 


181,463 

421.0 


2,014,241 

4,672.6 


1,670 

3.9 


12,075 

28.0 


48,012 

111.4 


119,706 

277.7 


410,412 

952.1 


1,418,213 

3,289.9 


185,616 

430.6 


84,157 
531.2 


61,628 
370.9 


35,678 
335.0 


795,979 
5,024.5 


708,154 
4,261.7 


510,108 
4,790.3 


790 
5.0 


572 
3.4 


308 
2.9 


5,155 
32.5 


4,461 
26.8 


2,459 
23.1 


25,147 
158.7 


15,944 
96.0 


6,921 
65.0 


53,065 
335.0 


40.65 1 
244.6 


25,990 
244.1 


171,483 
1,082.5 


144,078 
867.1 


94,851 
890.7 


536,375 
3,385.8 


499,937 
3,008.6 


381,901 
3,586.3 


88,121 
556.2 


64,139 
386.0 


33,356 
313.2 


107,746 
542.5 


1,045,584 
5,264.3 


1,118 
5.6 


7,647 
38.5 


18,424 
92.8 


80,557 
405.6 


227,521 
1,145.5 


764,502 
3,849.1 


53,561 
269.7 


38.015 
728.4 


33,291 
540.5 


36,440 
429.6 


344,141 
6,593.9 


345,146 
5,603.3 


356,297 
4,200.0 


375 

7.2 


365 
5.9 


378 
4.5 


2,914 
55.8 


2,426 
39.4 


2.307 

27.2 


9.392 
180.0 


5.209 
84.6 


3.823 
45.1 


25.334 
485.4 


25,291 
410.6 


29,932 
352.8 


78,156 
1,497.5 


73,174 
1,187.9 


76,191 
898.1 


244,371 
4,682.3 


255,883 
4,154.1 


264,248 
3.115.0 


21,614 
414.1 


16,089 
261.2 


15,858 
186.9 


'Suburban  places  are  within  Melropolilan  Statistical  Areas  (MSAs)  and  include  suburban  city  and  county  law  enforcement  agencies  within  the  metropolitan  area.  Central  cities  are  excluded. 
Nonsuburban  places  are  outside  MSAs. 

^Arson  rates  are  not  presented  in  this  table  because  fewer  agencies  furnished  complete  reports  for  arson  than  for  the  other  seven  Crime  Index  offenses.  Independently  tabulated  arson  rates 
appear  on  page  54  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.  All  rates  were  calculated  on  the  population  before  rounding. 

Forcible  rape  figures  furnished  by  the  state-level  Uniform  Crime  Reporting  (UCR)  Program  administered  by  the  Illinois  Department  of  State  Police  were  not  in  accordance  with  national  UCR 
guidelines.  See  Appendix  I  for  details. 

Complete  data  for  1991  were  not  available  for  the  State  of  Iowa.  See  "Offense  Estimation,"  page  377  for  details. 


194 


Table  18. — Crime  Rates,  OfTenses  Known  to  the  Police,  Suburban  and  Nonsuburban  Counties,  Population  Group,  1991 

11991  estimated  population.  Rate:  Number  of  crimes  per  100,000  inhabitants] 


Population  group 


Crime 
Index 
total 


Modified 
Crime 
Index 
total' 


Violent 
crime- 


Property 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 

vehicle 

theft 


Suburban  Counties^ 

100,000  and  over 

107  counties; 
population  26,865,000: 

Number  of  offenses  known 
Rate    


25,000  to  99,999 

295  counties; 
population   14,958,000: 
Number  of  olTenses  known 
Rate    


Under  25,000 

683  counties: 
population  2,401,000: 
Number  of  offenses  known 
Rate   


Nonsuburban  Counties^ 

25,000  and  over 

259  counties; 
population  10,445,000: 
Number  of  ofTenses  known 
Rate    


10,000  to  24,999 

626  counties; 
population  9,972.000: 
Number  of  offenses  known 
Rate    


Under  10,000 

1,409  counties; 
population  4,487,000: 
Number  of  offenses  known 
Rate    


1,342,707 
4,997.9 


393.188 
2,628.6 


1  30, 1 9 1 
5,423.3 


228,376 
2.186.5 


179,925 
1,804.4 


127,201 
2,834.9 


155,965 
580.5 


38.520 

257.5 


13,315 

554.7 


22.526 
215.7 


17,042 
170.9 


13.367 
297.9 


1.186,742 
4.417.4 


354,668 
2,371.1 


116.876 
4,868.6 


205,850 
1,970.9 


162.883 
1,633.5 


113,834 
2,537.0 


1,875 
7.0 


627 
4.2 


534 

5.1 


466 

4.7 


401 
8.9 


10,473 
39.0 


4,093 

27.4 


1,799 
74.9 


2,576 
24.7 


1.652 
16.6 


1,972 
43.9 


47,432 
176.6 


4.653 
31.1 


1,787 
74.4 


2,207 
21.1 


1,246 
12.5 


760 
16.9 


96,185 
358.0 


29.147 
194.9 


9,518 
396.5 


17,209 
164.8 


13,678 
137.2 


10,234 
228.1 


313,299 
1.166.2 


118.767 
794,0 


29.261 
1,218.9 


75,782 
725.6 


64,338 
645.2 


41,973 
935.4 


733.848 
2,731.6 


212,624 
1,421.5 


66,515 
2,770.8 


117.589 
1.125.8 


88,855 
891.1 


64,067 
1.427.8 


139,595 
519.6 


23,277 
155.6 


21,100 
879.0 


12,479 
119.5 


9,690 

97.2 


7.794 
173.7 


'Arson  rates  are  not  presented  in  this  table  because  fewer  agencies  furnished  complete  reports  for  arson  than  for  the  other  seven  Crime  Index  offenses.  Independently  tabulated  arson  rates 
appear  on  page  54  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. 

^Offenses  include  sheriffs'  and  county  law  enforcement  agencies    Slate  police  offenses  are  nol  included. 

Population  figures  were  rounded  to  the  nearest  thousand.  All  rates  were  calculated  on  the  population  before  rounding. 

Forcible  rape  figures  furnished  by  the  state-level  Uniform  Crime  Reporting  (UCR)  Program  administered  by  the  Illinois  Department  of  State  Police  were  not  in  accordance  with  national  UCR 
guidelines.  See  Appendix  I  for  details. 

Complete  data  for  1991  were  not  available  for  the  State  of  Iowa    See  "Offense  Estimation,"  page  377  for  details. 


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197 


Table  20.— Murder,  State,  Type  of  Weapon, 

1991 

State 

Total 
murders' 

Total 
firearms 

Handguns 

Rifles 

Shotguns 

Firearms 

(type 
unknown) 

Knives  or 

cutting 
instruments 

Other 
weapons 

Hands, 

fists, 

feet,  etc. 

434 

40 

234 

260 

3,876 

197 

166 

37 

478 

707 

45 

15 

1,224 

306 

151 

247 
312 

566 
214 
978 
116 
206 
502 
9 

53 
131 

35 
401 
107 
2,337 
741 
3 
701 
229 
149 
707 

37 
293 

11 

381 

2,659 

52 

10 
584 
204 
109 
236 

15 

314 
17 

151 

180 

2,690 

93 

104 
11 

385 

465 

17 

7 

830 

206 

90 

177 
212 

372 
112 
676 

53 

146 

317 

8 

33 

79 

13 
186 

58 

1,653 

474 

1 

450 

137 

67 
439 

18 

182 

1 

263 

1,840 

26 

6 

391 

96 

72 
137 

10 

235 

8 

111 

116 

2,252 

76 

93 

7 

383 

383 

14 

3 

736 

161 

69 
130 
173 

341 

83 

391 

41 

120 

94 

3 

29 

65 

9 

152 

41 

1,564 

341 

19 

4 

11 

32 

175 

5 

3 

27 

I 

15 

28 

188 

8 

5 

33 
4 

14 
4 

75 
4 
3 
4 

60 
8 
38 
45 
578 
43 
31 
13 
57 

124 

11 

5 

207 
46 

19 

-      29 

64 

104 

59 

149 

25 

33 

48 

1 

8 

26 

13 

84 

25 

323 

116 

43 
10 
27 
27 
423 
42 
19 
10 
36 

92 
15 

128 
34 

17 
24 
21 

66 
34 

109 
26 
19 

113 

17 

5 

18 

8 

183 

19 

12 

3 

2 
42 

Florida' 

29 

2 
2 
17 

7 

8 
15 
6 

12 

11 

26 

2 

2 
26 

27 

13 

22 
13 

16 
5 
79 
10 
13 
21 
1 

2 

4 

1 

17 

4 

52 

90 

2 

51 
II 

59 

20 

lowa^ 

25 

10 
20 

3 
24 
136 

17 

15 

Maine^ 

24 

9 

70 

2 

13 

11 

4 

1 

7 

3 

11 

12 

19 

43 

1 

4 

10 

5 

22 

44 

12 

8 

191 

24 

Nebraska    

1 
3 

8 
16 

3 

72 

16 

227 

121 

2 
96 
34 
36 
86 

7 
27 

3 

47 

316 

12 

2 
61 
57 
14 
43 

4 

10 

6 

6 

1 
18 

59 

8 

New  York   

134 

30 

North  Dakota 

389 
109 
53 
366 
8 
143 

28 

16 

6 

33 

2 
20 

1 

37 

174 

1 

29 

2 

3 

18 
8 
6 

89 
36 
39 

125 

9 

61 

6 

54 

398 

8 

2 

94 

38 

19 

33 

2 

66 

22 

7 

57 

3 

13 

23 

1 

Tennessee     

209 

1,317 

22 

3 

340 

76 

47 

98 

7 

16 
79 

3 

3 
17 

6 
10 

9 

1 
270 

17 

Texas   

IDS 

Utah 

6 

Virginia         

26 
8 

14 

10 

3 

8 

6 

1 

20 

38 

13 

4 

23 

3 

'Total  number  of  murders  for  which  supplemental  homicide  data  were  received. 
^Data  for  1991  were  not  available  for  the  Slates  of  Florida,  Iowa,  and  Maine. 


198 


Table  21.— Robbery,  State,  Type  of  Weapon,  1991 


State 


Total 
robberies' 


Firearms 


Knives  or 

cutting 
instruments 


Other 
weapons 


Strong- 
armed 


Agency 
count 


Population 


Alabama  

Alaska    

Arizona  

Arkansas  

California  

Colorado    

Connecticut    

Delaware    

District  of  Columbia 

Florida    

Georgia  

Hawaii  

Idaho   

Illinois  

Indiana    

lowa^    

Kansas  

Kentucky    

Louisiana  

Maine    

Maryland 

Massachusetts    

Michigan    

Minnesota   

Mississippi    

Missouri   

Montana  

Nebraska    

Nevada   

New  Hampshire  

New  Jersey   

New  Mexico    

New  York   

North  Carolina  

North  Dakota    

Ohio   

Oklahoma    

Oregon     

Pennsylvania    

Rhode  Island  

South  Carolina   

South  Dakota    

Tennessee    

Texas   

Utah   

Vermont   

Virginia  

Washington  

West  Virginia    

Wisconsin  

Wyoming  


6,101 

631 

1.046 

3,210 

123,756 

3,483 

6,700 

1,456 

7,269 

45,258 

16,572 

986 

198 

8,670 

5,210 

3,406 

3,077 

11,162 

250 

19,772 

9,280 

22,553 

4,344 

2,201 

12,135 

99 

858 

3,888 

348 

22,609 

1,595 

110,265 

11,202 

12 

21,487 

4,091 

4,348 

20,793 

1,234 

6,087 

125 

9,818 

49,690 

974 

40 

8,651 

6,945 

778 

5,893 

78 


2.725 

211 

474 

1,356 

44,446 

1,034 

2,591 

325 

3,113 

17,458 

7,724 

70 

65 

2,740 

2,252 

1,375 

1,077 

6,642 

39 

10.110 

2.268 

10,073 

2,666 

1,065 

5,474 

37 

298 

1,659 

73 

6,744 

717 

44,758 

4,084 

4 

7,829 

1,690 

1,258 

7,728 

319 

2,181 

27 

5.042 

21,970 

254 

13 

3.837 

2.098 

319 

3.123 

2S 


615 

82 

138 

402 

14,934 

445 

785 

119 

718 

3.223 

1,241 

62 

29 

783 

585 

358 

334 

778 

27 

1,458 

2,183 

1,916 

225 

188 

930 

14 

99 

419 

46 

2,502 

231 

16,070 

1,184 

2 

1,727 

371 

563 

1,935 

170 

664 

14 

913 

5,749 

86 

8 

747 

721 

65 

453 


879 

45 

62 

177 

13,564 

463 

506 

123 

494 

3,728 

2,296 

24 

20 

478 

297 

510 

234 

666 

16 

1,225 

982 

3,810 

227 

147 

914 

5 

49 

188 

19 

1,754 

122 

9,759 

1,139 

3 

2,234 

249 

353 

1,203 

88 

756 

12 

635 

5,122 

137 

3 

670 

550 

45 

296 


1.882 
293 
372 

1,275 
50,812 

1,541 

2,818 
889 

2,944 
20,849 

5,311 

830 

84 

4,669 

2.076 

1,163 

1,432 

3,076 

168 

6,979 

3.847 

6,754 

1,226 

801 

4,817 

43 

412 

1,622 

210 

1 1 ,609 

525 

39.678 

4.795 

3 

9,697 

1,781 

2,174 

9,927 

657 

2,486 

72 

3,228 

16,849 

497 

16 

3,397 

3,576 

349 

2,021 

37 


234 

21 

4 

175 

744 

92 
204 

48 

2 

302 

313 

5 

86 
530 
116 

244 
477 

70 
118 
ISI 
194 
571 
291 

66 
190 

56 
241 

21 
103 
502 

42 
623 
426 

29 
309 
279 
187 
720 

43 
233 

83 
124 
846 

96 

40 
405 
170 
295 
292 

66 


3,186,000 

533,000 

725,000 

2,337,000 

30,135,000 

2,568,000 

3,053,000 

678,000 

598,000 

10,222,000 

5.189,000 

1,135,000 

976,000 

8,131,000 

3,430,000 

2,311,000 
3.670.000 
3.106,000 
1,002,000 
4.858,000 
4,013,000 
9,045,000 
4,432.000 
1,055,000 
3,836,000 

596,000 
1,559,000 
1,090,000 
1,005,000 
7,580,000 

909,000 
16,101,000 
6,318,000 

234.000 
7,957.000 
3,167,000 
2,859,000 
9,080,000 
1,004,000 
3.557,000 

596,000 

3,124,000 

17,315.000 

1,629,000 

453,000 
6,286.000 
4,567,000 
1,799,000 
4,930,000 

452,000 


'The  number  of  robberies  for  which  breakdowns  by  type  of  weapon  were  received. 
^Complete  data  for  1991  were  not  available  for  the  State  of  Iowa.  See  "Offense  Estimation," 


page  377  for  details. 


199 


Table  22.— Aggravated  Assault,  State,  Type  of  Weapon,  1991 


Slate 


Total 

Knives  or 

aggravated 

cutting 

Other 

Personal 

Agency 

assaults' 

Firearms 

instrnments 

weapons 

weapons 

count 

25,806 

7,380 

4.207 

9,987 

4,232 

234 

2,134 

533 

497 

348 

756 

21 

3,000 

807 

490 

1,085 

618 

4 

9,462 

2.555 

1.771 

1,918 

3.218 

175 

187,724 

39,556 

24.633 

54.004 

69,531 

744 

12,440 

3,044 

2.366 

4,109 

2,921 

92 

7.575 

1,255 

1.396 

2,968 

1.956 

204 

2.759 

477 

563 

1,229 

490 

48 

6.706 

1,860 

1.424 

2,762 

660 

2 

77,206 

19,995 

1 5,046 

30,784 

11.381 

302 

23,733 

6,626 

5.276 

7,154 

4,677 

313 

1,338 

176 

187 

283 

692 

5 

2.285 

377 

298 

487 

1,123 

86 

18.414 

4,811 

4.876 

5.332 

3,395 

530 

13.232 

2,294 

1.906 

3,512 

5,520 

116 

7,510 

2.457 

1.360 

2,282 

1,411 

244 

11.627 

2.356 

1.508 

3.028 

4,735 

477 

20,971 

6.995 

3.881 

5,755 

4,340 

70 

949 

40 

126 

238 

545 

118 

23.869 

5.588 

5,053 

9,411 

3,817 

151 

22.174 

2.298 

4.457 

8.519 

6,900 

194 

43.278 

12.182 

7,555 

18.221 

5,320 

571 

7,756 

862 

1,267 

1,591 

4,036 

291 

2,877 

1.073 

615 

552 

637 

66 

21.807 

8.225 

3,582 

6,736 

3,264 

190 

502 

146 

94 

80 

182 

56 

3,954 

858 

726 

1,418 

952 

241 

3,244 

707 

640 

1,079 

818 

21 

533 

70 

88 

110 

265 

103 

23.596 

3.855 

5,565 

7,456 

6,720 

502 

6,830 

1.428 

1,329 

2.537 

1,536 

42 

87,531 

16.651 

19.517 

27.728 

23,635 

623 

27.221 

7.421 

5,577 

6.844 

7.379 

426 

110 

2 

10 

15 

83 

29 

26.358 

6.877 

4,804 

8.149 

6,528 

309 

12,576 

3.426 

2,092 

3.674 

3.384 

279 

8,620 

1,796 

1,596 

2.856 

2.372 

187 

20,401 

3.876 

3,547 

4,414 

8,564 

720 

3.057 

358 

527 

944 

1,228 

43 

26.015 

6.966 

6,323 

9.189 

3,537 

233 

780 

147 

213 

178 

242 

83 

18,195 

5.317 

3,384 

5.685 

3.809 

124 

84,028 

24.034 

17,264 

20.012 

22,718 

846 

3,093 

502 

571 

1.036 

984 

96 

326 

65 

50 

76 

135 

40 

12.344 

2.586 

3,080 

3,073 

3,605 

405 

13.935 

3.177 

2.439 

4,585 

3,734 

170 

2,125 

350 

477 

557 

741 

295 

6,205 

1.257 

903 

1,193 

2,852 

292 

1,199 

156 

213 

292 

538 

66 

Population 


Alabama 

Alaska    

Arizona   

Arkansas  

California  

Colorado    

Connecticut    

Delaware    

District  of  Columbia 

Florida    

Georgia  

Hawaii  

Idaho   

Illinois  

Indiana   

lowa^    

Kansas  

Kentucky    

Louisiana  

Maine    

Maryland   

Massachusetts    

Michigan    

Minnesota    

Mississippi    

Missouri   

Montana  

Nebraska    

Nevada    

New  Hampshire  

New  Jersey   

New  Mexico    

New  York   

North  Carolina  

North  Dakota    

Ohio   

Oklahoma    

Oregon    

Pennsylvania    

Rhode  Island  

South  Carolina   

South  Dakota    

Tennessee    

Texas   

Utah   

Vermont   

Virginia  

Washington  

West  Virginia    

Wisconsin    

Wyoming   


3,186.000 

533,000 

725,000 

2.337.000 

30,135,000 

2.568,000 

3,053.000 

678,000 

598,000 

10,222,000 

5.189,000 

1,135,000 

976,000 

8,131,000 

3,430,000 

2.311,000 
3.670.000 
3.106.000 
1.022,000 
4.858.000 
4,013.000 
9.045.000 
4.432,000 
1,055.000 
3,836.000 

596.000 
1.559.000 
1.090.000 
1.005,000 

758.000 

909.000 
16.101.000 
6.318.000 

234,000 
7.957,000 
3.167.000 
2,859,000 
9,080,000 
1,004,000 
3,557,000 

596,000 

3,124,000 

17,315,000 

1,629,000 

453,000 
6,286,000 
4.567,000 
1,799,000 
4.930.000 

452,000 


'The  number  of  aggravated  assaults  for  which  breakdowns  by  type  of  weapon  were  received. 

KTomplete  data  for  1991  for  the  State  of  Iowa  were  not  available.  See  "Offense  Estimation."  page  377  for  details. 


200 


Table  23.— Offense  Analysis,  1991,  and  Percent  Change  from  1990 

[12,354  agencies;   1991  estimated  population  222,105,000] 


Classirication 


Number  of 

otTenses 

1991 


Percent 

change  over 

1990 


Percent 

distnbu- 

tion' 


MURDER  

FORCIBLE  RAPE   

ROBBERY; 

ToUl  

Street/highway    

Commercial  house    

Gas  or  service  station    

Convenience  store  

Residence  

Bank    

Miscellaneous  

BURGLARY: 

Total  

Residence  (dwelling):  

Night    

Day   

Unknown  

Nonresidence  (store,  ofTice.  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    


19,782 
93.084 


636,185 


357,579 
74,418 
16,493 
36,474 
62,526 
10,193 
78,502 


2,763,793 


1,828,151 
581,263 
787,997 
458,891 
935.642 
438.962 
224.057 
272.623 


7,150,692 


73.010 

73.055 

1.179.658 

1.605.003 

1.010.373 

417.318 

1.014.443 

69.667 

1.708.165 

2.561.144 
1.695.379 
2.894,169 

1.521,958 


-(-4.7 
-I-.9 


-1-7.0 


-t-6.3 
-1-11.6 
-t-2.8 
-1-2.2 
-1-9.2 
-1-17.2 
-1-6.3 


-1-1.9 


-I-I.9 
-I-I.3 

-I-.4 
-1-5.4 
-1-1.8 

-I-.4 
-3.1 
-1-8.8 


-H.5 


-1.4 
-1.4 
-(-3.0 
-1-3.0 
-3.7 
■(-6.9 
+  1.4 
-(-26.9 
-I-.6 

-(-1.4 
-(-1.2 
-(-1.8 

-(-1.5 


100.0 


56.2 
11.7 
2.6 
5.7 
9.8 
1.6 
12.3 


100.0 


66.1 
21.0 
28.5 
16.6 
33.9 
15.9 
8.1 
9.9 


1 00.0 


1.0 

1.0 
16.5 
22.4 
I4.I 

5.8 
14.2 

1.0 
23.9 

35.8 
23.7 
40.5 


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

Data  for  1991  were  not  available  for  the  Stale  of  Iowa;  See  "Offense  Estimation,"  page  377  for  details. 


Table  24. — Type  and  Value  of  Property  Stolen  and  Recovered,  1991 

112,354  agencies;  1991  estimated  population  222.105,000) 


Value  of  property 

Percent 

Type  of  properly 

Stolen 

Recovered 

recovered 

Total'    

$14,972,819,000 

$5,360,489,000 

38.4 

911.708.000 

1.313.037.000 
360.889.000 

7,671,285,000 
320,434,000 

1,106,944,000 

123,137,000 

256,096,000 

114,570,000 

28,014,000 

2,766,706,000 

45,979,000 

57,175,000 

40,866,000 

4,866,216,000 

29,072,000 

51.848,000 

12.344.000 

15.571.000 

13.915.000 

3.237.000 

224.268.000 

5.0 

4.4 

11.3 

63.4 

9.1 

4.7 

10.0 

6.1 

12.1 

11.6 

8.1 

'All  totals  and  percentages  calculated  before  rounding. 


SECTION  III 
Crime  Index  Offenses  Cleared 


For  UCR  purposes,  law  enforcement  agencies  clear  or 
solve  an  offense  when  at  least  one  person  is  arrested, 
charged  with  the  commission  of  the  offense,  and  turned 
over  to  the  court  for  prosecution.  Clearances  recorded  in 
1991  may  be  for  offenses  which  occurred  in  prior  years. 
Several  crimes  may  be  cleared  by  the  arrest  of  one  person, 
while  the  arrest  of  many  persons  may  clear  only  one 
offense.  Law  enforcement  agencies  may  clear  a  crime  by 
exceptional  means  when  some  element  beyond  law  en- 
forcement control  precludes  the  placing  of  formal  charges 
against  the  offender.  Examples  of  circumstances  allowing 
such  clearances  are  the  death  of  the  offender  (suicide, 
justifiably  killed  by  police  or  private  citizen,  etc.);  the 
victim's  refusal  to  cooperate  with  prosecution  after  the 
offender  has  been  identified;  or  the  denial  of  extradition 
because  the  offender  committed  another  crime  and  is  being 
prosecuted  in  a  different  jurisdiction.  In  all  exceptional 
clearance  cases,  law  enforcement  must  have  identified  the 
offender,  have  enough  evidence  to  support  arrest,  and 
know  the  offender's  location. 

Law  enforcement  agencies  nationwide  recorded  a  21- 
percent  Crime  Index  clearance  rate  for  1991.  Collectively, 
45  percent  of  violent  crimes  were  cleared.  Among  the 
violent  offenses,  the  rates  were  67  percent  for  murder,  52 
percent  for  forcible  rape,  24  percent  for  robbery,  and  57 
percent  for  aggravated  assault.  Clearances  for  crimes 
against  persons  (murder,  forcible  rape,  and  aggravated 
assault)  are  generally  higher  as  more  intense  investigative 
efforts  are  often  given  these  offenses  and  witnesses  are 
frequently  available  to  identify  the  perpetrators. 

The  overall  property  crime  clearance  rate  was  18  per- 
cent. Thirteen  percent  of  the  burglaries,  20  percent  of  the 
larceny-thefts,  14  percent  of  motor  vehicle  thefts,  and  16 
percent  of  arsons  were  cleared  during  the  year. 

When  considering  the  Modified  Crime  Index  total  which 
includes  arson,  the  overall  clearance  rate  remained  the 
same,  21  percent. 

The  highest  total  Crime  Index  clearance  rates  geographi- 
cally were  registered  in  the  South  and  West,  with  22 
percent.  Following  were  the  Northeast  and  Midwest,  each 
with  20  percent.  For  violent  crime  overall,  the  highest 
clearance  rates  were  recorded  in  the  South  and  the  West, 
each  with  48  percent.  In  the  Northeast  and  Midwest,  the 


rates  were  40  percent.  Property  crime  clearance  rates  were 
1 8  percent  in  the  Midwest,  South,  and  West  and  1 7  percent 
in  the  Northeast. 

By  community  type,  city  law  enforcement  agencies 
showed  clearances  for  21  percent  of  the  Crime  Index 
offenses  brought  to  their  attention.  Those  in  suburban 
counties  cleared  20  percent,  and  those  in  rural  counties,  23 
percent.  Among  the  population  groups,  cities  with  10,000 
to  24,999  inhabitants  registered  the  highest  total  Crime 
Index  clearance  rate,  26  percent.  The  highest  violent  crime 
clearance  rates  were  recorded  in  the  rural  counties  with  63 
percent.  Like  Crime  Index  clearance  rates,  those  for 
property  crimes  were  highest  for  cities  with  populations 
from  10,000  to  24,999.  (See  Table  25.) 

Clearances  Involving  Only  Persons  under  18  Years  of 
Age 

Involvement  of  juveniles  in  crime  can  be  measured  by 
the  number  of  crimes  in  which  they  have  been  identified  as 
the  offenders.  Even  though  no  physical  arrest  has  been 
made,  a  clearance  by  arrest  is  recorded  when  an  offender 
under  18  years  of  age  is  cited  to  appear  in  juvenile  court  or 
before  other  juvenile  authorities.  Since  the  juvenile  clear- 
ance percentages  shown  in  this  publication  indicate  only 
those  offenses  where  no  adults  were  involved,  they  should 
be  considered  a  slight  underestimation  of  juvenile  involve- 
ment in  crime.  Juveniles  (persons  under  18  years  of  age) 
account  for  26  percent  of  the  United  States  population, 
according  to  1991  Bureau  of  the  Census  estimates. 

Nineteen  percent  of  the  Crime  Index  offenses  cleared  by 
law  enforcement  during  1991  involved  only  young  people 
under  age  18.  Persons  in  this  age  group  accounted  for  II 
percent  of  the  violent  crime  clearances  and  22  percent  of 
those  for  property  crimes.  Murder  showed  the  lowest 
percentage  of  juvenile  involvement  (8  percent),  while  the 
highest  percentage  was  shown  for  arson  (40  percent). 

Geographically,  the  Midwestern  States  recorded  the 
largest  percentage  of  Crime  Index  offense  involvement  by 
the  under- 18  age  group — 22  percent.  Juveniles  alone  were 
the  offenders  in  21  percent  of  the  clearances  in  the  Western 
States,  1 9  percent  of  those  in  the  Southern  States,  and  1 5 
percent  of  those  in  the  Northeastern  States. 


202 


CHART  3.1 


CRIMES  CLEARED 
by  ARREST 

1991 


c 
u 


100 
90 
80 
70 
60 
50 
40 
30 
20 
10 
0 


Wr 


57% 


Murder 


Assravated 
Assault 


Forcible 
Rape 


Robbery 


Crimes 


Violence 

[jM  Not  Cleared 


Cleared 


c 
a. 


100 
90 
80 
70 
60 
50 
40 
30 
20 
10 
0 


13% 


14% 


Burslary 


Larceny-Theft        Motor  Vehicle 

Theft 


Crimes 
Against 
Property 

Not  Cleared 
Cleared 


Table  25. — Ofienses  Known  and  Percent  Cleared  by  Arrest',  Population  Group,  1991 

(1991  estimated  population] 


Population  group 

Crime 
Index 
total 

Modified 
Crime 
Index 
total' 

Violent 
cnme' 

Property 
crime' 

Murder 
and  non- 
negligent 

man- 
slaughter 

Forcible 
rape 

Robbery 

Aggra- 
vated 
assault 

Burglary 

Larceny- 
theft 

Motor 

vehicle 

theft 

Arson' 

TOTAL  ALL  AGENCIES; 
12.868  agencies; 
population  225,163,000: 

Offenses  known  

Percent  cleared  by  arrest    

13,334,099 
21.2 

13,432,846 
21.2 

1.682,487 

44.7 

11.651.612 

17.8 

21,924 

67.2 

92,398 
51.8 

611,531 
24J 

956,634 

56.5 

2,819,548 
13.5 

7,31132 
20J 

1,520,762 
13.9 

98,747 
15.9 

TOTAL  CTTIES:  9.009  cities; 
population  152,573,000: 

10,832,323 
21.3 

10,909,524 
21.3 

1,417,568 
42.9 

9.414,755 
18.1 

17,743 
66.2 

70,452 
51J 

551,591 
23.9 

777,782 
55.1 

2,149,795 
13.1 

5,970,319 
20.9 

1,294,641 
13.1 

77,201 

Percent  cleared  by  arrest    

14.9 

Group  I 

62  cities.  250,000  and  over; 
population  42.713.000; 
Offenses  known 

4.213.699 
18.3 

1,693,286 
17.8 

1.136.289 
18.7 

1,384.124 
18.7 

1.546,452 
21.6 

1.531.754 
21.8 

4.249.664 
18.2 

1.710.476 
17.7 

1.143,840 
18.6 

1,395,348 
18.6 

1.557.997 
21,6 

1.541,498 
21.7 

748.515 
37.8 

377.870 
36.2 

161,606 
39.4 

209.039 
39.5 

194.928 
45.6 

1 70,502 
44.1 

3.465.184 
14.1 

1.315,416 
12.5 

974,683 
15.2 

1,175,085 
14.9 

1.351.524 
18.1 

1.361.252 
19.0 

10.873 
63.0 

5.511 
62.3 

2,789 
62.6 

2,573 
64.8 

2.226 
70.9 

1.763 
66.5 

30.642 

52.5 

10.082 
53.4 

9.012 
57.1 

11.548 
48.1 

10.949 
48.9 

9.715 
48.2 

355.993 
21.8 

196,248 
21.1 

76,193 
22.3 

83.552 
22.7 

69.753 
27.4 

55.948 
25.1 

351.007 
52.1 

166.029 
52.1 

73,612 
53.9 

111.366 
50.7 

112.000 
56.1 

103.076 
53.7 

834,038 
11.6 

305.321 
10.6 

234,596 
12.8 

294,121 
II.6 

330,810 
12.9 

310,303 
12.8 

1,925,214 
16.5 

661,940 
15.4 

574.563 
16.6 

688,711 
17.4 

851.207 
21.1 

885,658 
22.4 

705.932 
10.6 

348.155 
8.5 

165.524 
14.2 

192,253 
11.2 

169.507 
13.5 

165.291 
12.1 

35,965 

Percent  cleared  by  arrest   

7  cities.  1,000.000  and  over; 
population   17.369,000: 
Offenses  known        

10.5 
17,190 

Percent  cleared  by  arrest   

18  cities.  500.000  to  999.999; 
population  12.046.000; 
Offenses  known     

6.4 

7,551 

Percent  cleared  by  arrest   

37  cities,  250,000  to  499.999; 
population  13.298,000; 
Offenses  known        

14.6 
11,224 

Percent  cleared  by  arrest  

Group  II 

124  cities.  100.000  to  249.999; 
population  18,301,000: 

14.1 
11,545 

Percent  cleared  by  arrest   

Group  III 

336  cities.  50.000  to  99.999; 
population  23.003.000: 

18.7 
9,744 

Percent  cleared  by  arrest   

See  footnotes  at  end  of  table. 

14.8 

204 


Table  25. — Offenses  Known  and  Percent  Cleared  by  Arrest', 

Population  Group, 

991— Continued 

Population  group 

Crime 
Index 

total 

Modified 
Crime 
Index 
lotal= 

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 

650  cities,  25,000  to  49,999; 

population  22,591,000: 

Offenses  known    

1,329.740 

1,337,659 

126,935 

1,202.805 

1.192 

7.764 

35.939 

82,040 

263,220 

824,928 

114,657 

7,919 

Percent  cleared  by  arrest    

23.9 

23.8 

48,3 

21,3 

71,0 

50,4 

28.7 

56,3 

14,2 

24,3 

16,0 

16.9 

Group  V 

1.540  cities.  10.000  to  24.999, 

population  24.377.000: 

Offenses  known   

1.211.824 

1,218,197 

100,478 

1,111,346 

970 

6,665 

22.552 

70.291 

228.951 

796,832 

85,563 

6.373 

Percent  cleared  by  arrest   

25.5 

25.5 

53,0 

23,1 

76,8 

51,6 

31,0 

59,8 

15,5 

25,4 

21,2 

21,7 

Group  VI 

6,297  cities  under  10.000; 

population  21.587,000: 

Offenses  known    

998.854 

1.004.509 

76.210 

922.644 

719 

4.717 

11.406 

59,368 

182.473 

686,480 

53,691 

5.655 

Percent  cleared  by  arrest   

24,4 

24.4 

61.1 

21.4 

76.8 

56,4 

35,0 

66.3 

16.6 

22.1 

28,5 

25.0 

Suburban  Counties 

1.210  agencies; 

population  46.070,000: 

OfTenses  known    

1.936.740 

1.953,044 

209.814 

1.726.926 

2,716 

1  5.806 

55.784 

135,508 

476,943 

1,055,733 

194.250 

16.304 

Percent  cleared  by  arrest   

20,0 

20,0 

51,8 

16,2 

66,8 

52.8 

26,7 

61,7 

13,8 

17.3 

16.1 

18.4 

Rural  Counties 

2.649  agencies; 

population  26.520.000: 

Offenses  known    

565.036 

570,278 

55,105 

509.931- 

1,465 

6.140 

4,156 

43,344 

192,810 

285.250 

31.871 

5,242 

Percent  cleared  by  arrest    

22.9 

22-9 

63.0 

18,6 

79.9 

54.5 

40,3 

65,8 

16,5 

18.4 

32,8 

21,9 

Suburban  Area' 

6.094  agencies; 

population  93.038.000: 

Offenses  known    

4.274.723 

4,304.312 

403.636 

3.871,087 

4.464 

27.540 

107,208 

264,424 

914,518 

2,564.071 

392.498 

29.589 

Percent  cleared  by  arrest   

21.7 

21,7 

51,2 

18,6 

67.2 

52.3 

27,7 

60,4 

14,1 

20,5 

16,6 

18.9 

'Includes  offenses  cleared  by  exceptional  means, 

H'he  number  of  agency  reports  used  in  arson  clearance  rates  is  less  than  used  in  compiling  clearance  rates  for  other  Crime  Index  offenses.  Ii  is  not  necessary  to  report  clearances  by  detailed 
property  classification  to  be  included  in  this  table.  The  Modified  Crime  Index  total  is  the  sum  of  the  Crime  Index  offenses,  including  arson. 

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

'Property  crimes  are  offenses  of  burglary,  larceny-theft,  and  motor  vehicle  theft    Data  are  not  included  for  the  properly  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  administered  by  the  Illinois  Department  of  Stale  Police  were  not  in  accordance  with  national  UCR 
guidelines  and  were  excluded  from  the  forcible  rape,   violent  crime.  Crime  Index   total,  and  Modified  Crime  Index  total  categories 

Complete  data  for  1991  were  not  available  for  the  State  of  Iowa.  See  "Offense  Estimation,"  page  377  for  details. 


205 


Table  26. — Offenses  Known  and  Percent  Cleared  by  Arrest',  Geographic  Region  and  Division,  1991 

(1991  estimated  population] 


Geographic  region/ 
division 

Crime 
Index 
total 

Modified 
Crime 
Index 
total^ 

Violent 
crime' 

Property 
crime* 

Murder 
and  non- 
negligent 

man- 
slaughter 

Forcible 
rape 

Robbery 

Aggra- 
vated 
assault 

Burglary 

Larceny- 
theft 

Motor 

vehicle 

theft 

Arson^ 

TOTAL 

12.868  agencies;  population 
225,163,000: 

13,334,099 
21.2 

13,432,846 
21.2 

1,682,487 

44.7 

11,651,612 

17.8 

21,924 
67.2 

92,398 
51.8 

611,531 

24.3 

956,634 
56.5 

2,819,548 
13.5 

7,311,302 
20.3 

1,520,762 
13.9 

98,747 

Percent  cleared  by  arrest    

15.9 

New  Enoij^nd 

660  agencies;  population 
10,750,000: 

Offenses  known   

557.704 
22.1 

561.200 
22.0 

59.987 
48.7 

497.717 
18.9 

491 
72.1 

3,400 
52.1 

18,942 
26.4 

37,154 
59.5 

123,367 
15.2 

292,275 
21.4 

82,075 
15.3 

3,496 

Percent  cleared  by  arrest  

15.2 

Middle  Atlantic 

2,282  agencies;  population 
37,101,000: 

OtTenses  known        

1.940.971 
19.6 

1.958.715 
19.5 

310,460 
37.9 

1,630,511 
16.1 

3,714 
62.8 

10,570 
58.5 

157,593 
23.1 

138,583 
52.5 

362,994 
13.0 

959,866 
19.5 

307,651 
8.8 

17,744 

Percent  cleared  by  arrest  

11.2 

Northeast 

2,942  agencies;  population 
47,851,000: 

2,498,675 
20.1 

2,519,915 
20.0 

370,447 
39,7 

2,128,228 
16.7 

4,205 
63.9 

13,970 
57.0 

176,535 
23.4 

175,737 
54.0 

486,361 
13.6 

1,252,141 
20.0 

389,726 
10.2 

21,240 

Percent  cleared  by  arrest    

11.9 

East  North  Central 

2,181  agencies;  population 
34.627,000; 

1,819,105 
19.6 

1.833,697 
19.5 

190,007 
39.3 

1,629,098 
17.3 

2.587 
64.8 

15,175 
39.6 

63.961 
21.1 

108,284 
49.4 

357,372 
10.9 

1,092,851 
19.8 

178,875 
14.7 

14,592 

Percent  cleared  by  arrest  

12.9 

West  North  Central 

1.177  agencies;  population 
13,334,000: 

678.167 
21.0 

682.718 
20.9 

69,265 
41.7 

608,902 
18.6 

834 
70.6 

5,119 
42.6 

20,979 
20,2 

42,333 
51.6 

138,165 
12.1 

414,286 
21.0 

56,451 
17.0 

4,551 

Percent  cleared  by  arrest   

11.2 

Midwest 

3,358  agencies;  population 
47,961,000: 

2,497,272 
20.0 

2,516,415 
19.9 

259,272 
39.9 

2,238,000 

17.7 

3,421 
66.2 

20,294 
40.4 

84,940 
20.9 

150,617 
50.0 

495,537 
11.2 

1,507,137 
20.1 

235,326 
15.2 

19,143 

Percent  cleared  by  arrest    

12.S 

South  Atlantic 

2,309  agencies;  population 
39,575,000: 

2.510,952 
22.3 

2,524,320 
22.4 

310,949 
48.4 

2,200,003 
18.7 

4,240 
70.3 

15.853 
59.0 

109,716 
25.7 

181.140 
60.8 

574,988 
15.7 

1,406.914 
19.7 

218,101 
19.6 

13,368 

Percent  cleared  by  arrest   

24.0 

East  South  Central 

952  agencies;  population 
11,398,000: 

584,021 
23.3 

587.909 
23.2 

89,373 
47.5 

494,648 
18.9 

1.253 

77.5 

4,994 
54.5 

19.842 
28.0 

63,284 
52.5 

142.559 
14.4 

302,073 
21.5 

50,016 
16.3' 

3,888 

Percent  cleared  by  arrest   

17.9 

West  South  Central 

1,398  agencies;  population 
25.899,000: 

1.884.087 
20.5 

1,897.239 
20.5 

211,836 
46.5 

1,672,251 
17.2 

3,787 
69.9 

13,300 

57.3 

68,101 
26.1 

126,648 
55.7 

437,344 
13.6 

1,023,061 
19.3 

211,846 
14.6 

13,152 

Percent  cleared  by  arrest  .... 

19.1 

See  footnotes  at  end  of  table. 


206 


Table  26. — Offenses  Known  and  Percent  Cleared  by  .\rrest'. 

Geograph 

c  Region 

and  Division.  1991- 

-Continued 

Geographic  region/ 
division 

Crime 
Index 
total 

Modified 
Crime 
Index 
lotal^ 

Violent 
crime' 

Property 
crime' 

Murder 
and  non- 
negligent 

man- 
slaughter 

Forcible 
rape 

Robbery 

.Aggra- 
vated 
assault 

Burglary 

Larceny- 
theft 

Motor 

vehicle 

theft 

Arson^ 

Soirra 

4,661  agencies;  population 

76,872,000: 

Offenses  known  

4,979,060 

5,009,468 

612,158 

4,366,902 

9,280 

34.147 

197,659 

371,072 

1,154,891 

2,732,048 

479.963 

30.408 

Percent  cleared  by  arrest    

21.7 

21.7 

47.6 

18.1 

71.1 

57.7 

26.0 

57.6 

14.7 

19.7 

17.1 

21.1 

Mountain 

736  agencies;  population 

12.983.000: 

Offenses  known    

757.897 
24.0 

762.776 
24,0 

66,828 
52,3 

691.069 
21  3 

790 
67,2 

5.472 
47.6 

15.483 

25,4 

45.083 
61,8 

151.755 
12.6 

478,223 
24.4 

61.091 
18.2 

4,879 

Percent  cleared  by  arrest    

23.5 

Pacific 

1.171  agencies;  population 

39,495.000: 

Offenses  known   

2,601.195 

2.624.272 
21.5 

373.782 
46,7 

2.227.413 
17,3 

4.228 
62.5 

18,515 
50,7 

136.914 
24,8 

214.125 
60.1 

531.004 
13.0 

i.. 34 1,753 
20,5 

354.656 
11.9 

23,077 

Percent  cleared  by  arrest    

21.6 

13.8 

West 

1,907  agencies;  population 

52,478,000; 

Offenses  known  

3,359,092 
22.1 

3,387,048 
22.1 

440,610 

47.6 

2,918,482 
18.3 

5.018 
63.3 

23.987 
50.0 

152,397 
24.9 

259,208 
60.4 

682,759 
12.9 

1.819.976 
21.5 

415.747 
12.9 

27.956 

Percent  cleared  by  arrest    

15.5 

'Includes  ofTenses  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  detailed 
property  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  ofTenses  of  burglary,  larceny-theft,  and  motor  vehicle  theft.  Data  are  not  included  for  the  property  crime  of  arson. 

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

Complete  data  for  1991  were  not  available  for  the  State  of  Iowa.  See  "Offense  Estimation."  page  377  for  details. 


207 


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209 


Table  28.— Offenses  Cleared  by  Arrest'  of  Persons  Under  18  Years  of  Age,  1991 

[1991  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 


TOTAL  ALL  AGENCIES; 
12,024  agencies; 
populalion  215,036.000: 

Total  clearances    

Percent  under  18   

TOTAL  CITIES:  8.582  cities; 
population  147,307.000: 

Total  clearances    

Percent  under  18   

Group  I 

58  cities,  250,000  and  over, 
population  40,954.000: 

Total  clearances  

Percent  under  18    

7  cities,   1,000,000  and  over; 
population   17.369.000: 

Total  clearances  

Percent  under  18    

16  cities,  500,000  to  999.999; 
population   10.828.000: 

Total  clearances  

Percent  under  18    

35  cities.  250.000  to  499.999; 
population   12.757.000; 

Total  clearances  

Percent  under  18    

Group  II 

121  cities,   100,000  to  249,999; 
population   17,686,000; 

Total  clearances  

Percent  under  18    

Group  III 

330  cities,  50.000  to  99.999; 
populalion  22.611,000: 

Total  clearances  

Percent  under  18    

Group  IV 

633  cities,  25,000  to  49,999; 
population  22,008.000: 

Total  clearances  

Percent  under  18  


2,710,431 
19.3 


2,215,204 
19.1 


734,836 
14,0 


300,954 
9,1 


185,686 
16.9 


248,196 
17.8 


321,264 
18.1 


327,613 

22.5 


303.088 
22.9 


2,725,456 
19.4 


2,226,323 
19.2 


711,819 
11.4 


576,934 
11.0 


1,998,612 
22.1 


1,638,270 
22.0 


13,725 

7.7 


10,969 
8.0 


45,409 
13.3 


34,577 
11.8 


142,728 
13.4 


126,627 
12.9 


509,957 
10.7 


404,761 
10.5 


361,572 
19.1 


268,170 
18.1 


1,433,263 

22.7 


1,206,225 

22.7 


203,777 
22.9 


163,875 

23.2 


738.337 
14.1 


302.051 
9.2 


186.549 
17.0 


249.737 
17.9 


323,404 
18.2 


329.044 
22,6 


304.407 
23.1 


270.057 
9.0 


1  36,825 
5.8 


53.558 
13.0 


79.674 
11.7 


84.359 
11.6 


73.631 
13.3 


56.545 
14.1 


464.779 
16.9 


164,129 
11.9 


132.128 
18.4 


168.522 
20.7 


236,905 
20.4 


253.982 
25.2 


246.543 
25.0 


6,275 
7.7 


3,435 
6.4 


1.307 
9.1 


1.533 
9.5 


1.508 
8.9 


1.158 
8.6 


803 
7.6 


15,226 
9.7 


5,379 
6.3 


4.496 
13.3 


5,351 
10.1 


5,189 
10.8 


4,566 
13.9 


3,752 
15.8 


73,960 
10.3 


41,464 
7.0 


14,266 
15.2 


18.230 
14,1 


18.546 
14.6 


13.818 
17.2 


9.887 
18.8 


174.596 
8.4 


86.547 
5.2 


33.489 
12.2 


54.560 
11.1 


59.116 
10.8 


54,089 
12.4 


42,103 
12.9 


89,802 
12.3 


32.480 
7.6 


25.151 
13.0 


32,171 
16.5 


40,953 
16.0 


38,907 
20.9 


35.758 
22.2 


303.105 
16.8 


102.175 
12.1 


85.732 
17.7 


115.198 
20.3 


173,668 
20.8 


195.377 
26.1 


193.132 

25.7 


71,872 
23.2 


29,474 
15.7 


21,245 
28.0 


21.153 
29.0 


22.284 
24.7 


19.698 

25.4 


17,653 
23.4 


210 


Table  28.— Offenses  Cleared  by  Arrest'  of  Persons  Under  18  Years  of  Age,  1991— Continued 


Populalion  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 

Larcenv- 
theft 

Motor 

vehicle 

theft 

Arson^ 

Group  V 

1,484  cities,  10,000  to  24,999; 
population  23,500,000: 
Total  clearances 

295,247 

22.7 

233,156 
22.4 

375,586 
21.0 

119,641 
16.1 

296,596 
22.8 

234,535 
22.6 

378,451 
21.2 

120,682 
16.2 

49,515 
13.2 

42,827 
12.6 

104,926 
14.0 

29,959 
8.2 

245.732 
24.6 

190,329 
24.6 

270,660 
23.8 

89,682 
18.7 

707 
8.9 

518 
5.8 

1,752 
7.9 

1,004 
4,9 

3,280 
14.2 

2,564 
14.1 

7,808 
19.9 

3,024 
13.5 

6,623 
17.8 

3,793 
14.8 

14,551 
17.9 

1,550 
11.4 

38,905 
12.4 

35,952 
12.4 

80.815 
12.9 

24,381 

7.5 

33,700 
22.9 

29,050 
24.8 

63,346 
22.6 

30,056 
20.1 

194,504 
25.3 

146,439 
24.9 

177,310 
24.4 

49,728 
17.6 

17,528 
19.7 

14,840 
21.5 

30,004 
22.1 

9,898 
20.0 

1  349 

Percent  under  18    

46  6 

Group  VI 

5,956  cities  under  10,000; 
populalion  20,548,000; 

1,379 

45  I 

Suburban  Counties 

1.112  agencies; 
population  43,617,000; 
Total  clearances            

2  865 

38,4 

Rural  Counties 

2,330  agencies; 
population  24,113,000; 

1,041 

Percent  under  18 

24  8 

Suburban  Area' 

5,826  agencies; 
population  89,351,000: 
Total  clearances           

894,872 
21.9 

900,287 
22.0 

197,153 
14.3 

697,719 
24.0 

2,884 
7.6 

13,671 
18.3 

28,678 
18.7 

151,920 
13.3 

123,997 
22.8 

510,849 
24.6 

62,873 
21.7 

5415 

43.3 

'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  ofTenses.  It  is  not  necessary  to  report  clearances  by  detailed 
property  classification  to  be  included  in  this  table,  The  Modified  Crime  Index  total  is  the  sum  of  the  Crime  Index  offenses,  including  arson. 

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

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

'Includes  suburban  city  and  county  law  enforcement  agencies  v^ithin  metropwlitan  areas.  Excludes  central  cities.  Suburban  cities  are  also  included  in  other  groups. 

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

Complete  data  for  1991  were  not  available  for  the  State  of  Iowa,  See  "Offense  Estimation."  page  377  for  details. 


211 


SECTION  IV 

Persons  Arrested 


Primarily  a  gauge  of  law  enforcement's  response  to 
crime,  arrest  counts  also  provide  definitive  data  concern- 
ing the  age,  sex,  and  race  of  perpetrators.  Arrest  practices, 
policies,  and  enforcement  emphases  vary  from  place  to 
place  and  even  within  a  community  from  time  to  time  as, 
for  example,  during  a  local  police  campaign  against  resi- 
dential burglary.  While  the  practices  for  certain  unlawful 
conduct  such  as  drunkenness,  disorderly  conduct,  vagran- 
cy, and  related  violations  may  differ  aipong  agencies,  those 
for  robbery,  burglary,  and  other  serious  crime  arrests  are 
more  likely  to  be  uniform  and  consistent  throughout  all 
jurisdictions.  The  Program's  procedures  require  that  an 
arrest  be  counted  on  each  separate  occasion  a  person  is 
taken  into  custody,  notified,  or  cited.  Annual  arrest  figures 
do  not  measure  the  number  of  individuals  arrested  since 
one  person  may  be  arrested  several  times  during  the  year 
for  the  same  or  different  offenses. 

Nationwide,  law  enforcement  agencies  made  an  estimat- 
ed 14.2  million  arrests  in  1991  for  all  criminal  infractions 
except  traffic  violations.  The  highest  arrest  counts  among 
the  specific  crime  categories  were  for  driving  under  the 
influence,  1.8  million;  larceny-theft,  1.6  million;  and 
simple  assault  and  drug  abuse  violations,  each  1  million. 
(See  Table  29.) 

When  the  overall  arrest  volume  was  related  to  the  total 
United  States  population,  the  rate  was  5,648  arrests  per 
100,000  inhabitants.  Among  the  city  population  groupings, 
those  with  more  than  250,000  inhabitants  recorded  the 
highest  rate,  7,579,  while  those  with  populations  from 
10,000  to  24,999  recorded  the  lowest  rate,  5,432.  (See 
Table  31.)  For  suburban  county  agencies  overall,  the  arrest 
rate  was  4,210,  and  for  rural  county  law  enforcement,  it 
was  3,851  per  100,000  inhabitants.  Regionally,  the  arrest 
rates  per  100,000  population  ranged  from  5,210  in  the 
Midwest  to  5,973  in  the  West.  (See  Table  30.) 

Due  to  NIBRS  conversion  efforts  and  other  reporting 
problems,  no  arrest  data  for  Florida  and  Iowa  law  enforce- 
ment agencies  were  available  for  1991.  Therefore,  tables 
showing  the  age,  sex,  or  race  of  persons  arrested  contain  no 
Florida  and  Iowa  data.  Arrest  totals  were,  however,  esti- 
mated for  inclusion  in  Table  29,  "Total  Estimated  Arrests, 
United  States,  1991." 
Arrest  Trends 

The  national  total  number  of  arrests  for  all  offenses 
except  traffic  violations  decreased  1  percent  in  1991  as 
compared  to  the  1990  volume,  while  overall  Index,  violent, 
and  property  crime  arrest  totals  each  increased  2  percent. 
During  the  same  time  period,  adult  arrests  for  all  offenses 
declined  2  percent,  but  slight  increases  were  recorded  in 
adult  arrests  for  the  violent,  property,  and  Index  crime 


categories.  Conversely,  increases  were  recorded  in  the 
juvenile  arrest  volume,  1991  versus  for  1990,  total  arrests, 
for  Index  crimes,  for  violent  crimes,  and  property  crimes. 
(See  Table  36.) 

Two-year  trends  in  total  arrests  for  city  and  suburban 
county  agencies  showed  2-percent  decreases,  1991  over 
1990,  while  rural  county  arrests  were  up  3  percent.  (See 
Tables  44,  50,  and  56.) 

Over  the  5-year  period  beginning  in  1987,  total  arrests 
and  adult  arrests  for  all  offenses  were  each  up  10  percent 
and  those  of  persons  under  1 8  years  of  age  rose  9  percent. 
(See  Table  34.)  Total  Crime  Index  arrests  as  well  as  Index 
arrests  of  adults  and  juveniles  increased  1 3  percent.  During 
the  same  years,  1987-1991,  total  violent  crime  arrests 
increased  29  percent,  and  property  crime  arrests  were  up  9 
percent. 

For  the  decade,  1982-1991,  arrests  for  all  offenses  were 
up  19  percent;  Crime  Index  arrests,  18  percent;  violent 
crime  arrests,  43  percent;  and  property  crime  arrests,  12 
percent. 

The  1991  drug  abuse  violation  arrest  total  was  down  8 
percent  from  the  1990  level,  7  percent  higher  than  in  1987, 
and  56  percent  higher  than  in  1982.  The  following  table 
shows  the  types  of  drugs  involved  in  violations  resulting  in 
arrests  during  1991  by  geographic  region. 

Table  4.1 — Arrests  for  Drug  Abuse  Violarions,  1991 

[Percent  distribulionl 


Total'    

Sale/manufacture:    

Heroin  or  cocaine  and  their 
denvatives  

Manjuana    

Synthetic  or  manufactured  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 
33.4 

22.5 

6.1 

.8 

4.0 

66.6 


32.8 

22.4 

1.4 

10.1 


North- 
eastern 
States 


100.0 

44.7 

37.2 
5.0 
1.2 
1.3 

55.3 


33,2 

18.5 

1.2 

2.3 


Mid- 
western 
States 


100.0 
30.4 

11.9 

7.1 

.6 

10.8 

69.6 


22.4 

34.2 

1.2 

11.8 


South- 
em 
States 


30.9 

20.5 
6.3 
1.2 
2.9 

69.1 

30.4 

28.3 

2.6 

7.7 


Western 
States 


28.2 

17.2 

6.5 

.2 

4.4 

71.8 

38.1 

16.0 

.6 

17.0 


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

Age 

Six  percent  of  all  persons  arrested  nationally  in  1991 
were  under  the  age  of  15;  16  percent  were  under  18;  30 
percent  were  under  21;  and  46  percent  were  under  25. 
Persons  in  the  under-25  age  group  accounted  for  47 
percent  of  arrests  in  the  cities,  42  percent  of  those  in  the 
suburban  counties,  and  39  percent  of  those  in  the  rural 
counties. 

Age  distribution  figures  for  persons  arrested  for  Crime 
Index  offenses  showed  29  percent  were  under  the  age  of  1 8; 


212 


43  percent,  under  21;  and  57  percent,  under  25.  The  under- 
25  age  group  was  also  responsible  for  48  percent  of  the 
violent  crime  arrests  and  59  percent  of  property  crime 
arrests  in  1991. 

Larceny-theft  was  the  offense  resulting  in  the  most 
arrests  of  persons  under  age  1 8,  while  adults  were  most 
often  arrested  for  driving  under  the  influence.  (See  Table 
38.) 
Sex 

Eighty-one  percent  of  the  persons  arrested  in  the  Nation 
during  1991  were  males.  (See  Table  42.)  They  accounted 
for  78  percent  of  Index  crime  arrests,  88  percent  of  those 
for  violent  crimes,  and  75  percent  of  the  property  crime 
arrests.  Men  were  most  often  arrested  for  driving  under  the 
influence,  which  accounted  for  13  percent  of  all  male 
arrests. 

As  in  past  years,  larceny-theft  was  the  crime  for  which 
females  were  most  often  arrested.  This  single  offense 
accounted  for  78  percent  of  arrests  of  women  for  Index 


crimes  and  19  percent  of  all  female  arrests.  Fifty-two 
percent  of  all  female  larceny-theft  arrestees  were  under  25 
years  of  age. 

Two-year  trends  showed  a  2-percent  decrease  in  the 
number  of  male  arrests  from  1990  to  1991,  while  female 
arrests  rose  slightly  for  the  same  period.  (See  Table  37.) 
Arrests  of  males  were  up  9  percent  and  those  of  females  up 
16  percent  for  the  5-year  period  from  1987  to  1991.  (See 
Table  35.) 

Race 

Race  distribution  figures  for  the  total  number  of  arrests 
in  the  United  States  during  1991  showed  69  percent  of  the 
arrestees  were  white,  29  percent  were  black,  and  the 
remainder  were  of  other  races.  (See  Table  43.)  Whites 
accounted  for  63  percent  of  the  Index  crime  arrests,  54 
percent  of  the  arrests  for  violent  crimes,  and  66  percent  of 
those  for  property  crimes. 


Table  29.— Total  Estimated  Arrests',  United  States,  1991 


TOTALS  

Murder  and  nonnegligeni  manslaughter 

Forcible  rape  

Robber>'    

Aggravated  assault   

Burglary    

Larceny-theft  

Motor  vehicle  theft   

Arson   


Violent  crime'  

Property  crime*    

Crime  Index  total' 


Other  assaults  

Forgery  and  counterfeiting 
Fraud  


14,211,900 


24,050 

40,120 

173,820 

480,900 

436,500 

1,588,300 

207.700 

20,000 


718,890 
2.252,500 


2,971,400 


1,041,200 
103,700 
427,800 


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   

Suspicion  (not  included  in  totals)  

Curfew  and  loitering  law  violations    

Runaways    


14,000 
170.000 
335,100 
232,300 

98,900 
108,000 
,010,000 

16,600 

99,400 
,771,400 
624,100 
881.100 
757,700 

38,500 
,240,000 

18,400 

93.400 
177.300 


'Arrest  totals  based  on  all  repoaing  agencies  and  estimates  for  unreported  areas. 
^Because  of  rounding,  figures  may  not  add  to  totals. 

'Violent  crimes  are  offenses  of  murder,  forcible  rape,  robbery,  and  aggravated  assault. 
^Property  crimes  are  offenses  of  burglar^',  larceny-theft,  motor  vehicle  theft,  and  arson. 
'Includes  arson. 


213 


Table  30.— .\iTests,  .Number  and  Rate.  Regions,  1991 


[Rate;  Number  of  arrests  per  100.000  inhabitanis] 

OfTense  cbar^ 

United  States  Total 

(10.148  agencies; 

population  189.961.000) 

Nonheast 

(2,230  agencies; 

population  39.989.000) 

Midwest 

(2,500  agencies; 

population  41,102,000) 

South 

(3.734  agencies; 

population  58.984.000) 

West 

(1.684  agencies; 
population  49.887.000) 

TOTAL    

Rate  

10,-29.048 
5,648.0 

2,096.724 
5,243J 

2.14I.6I8 

saioi; 

3411.039 
SJ52.6 

i»79,667 
5.972J 

A'lolcni  cnmes  are  offenses  :     -_;;-     ;-.  -  t 
^Propcn>  cnmes  are  (rffense^  : :  ? . -?. 3,-      i  -: ^ -  - 
Indudes  arsoiL  Populauoa  figures  ^-ere  roundod 


Murder  and  Doaneglisent  manslaughter 

Rate  

IS. 654 

Q   S 

JC.35, 

16.0 

139.182 

73.3 

368,483 

194.0 

328.790 

173.1 

1,215.303 

639.8 

161,628 

85.1 

14.916 

7.9 

7.7 

5,803 

14.5 

48,248 

120.7 

75,283 

188.3 

56,796 

142.0 

214,348 

536.0 

31,450 

78.6 

2,855 

7.1 

4.19- 

10_2 

7.049 

I7J 

18,719 

45.5 

52,841 

128.6 

52,536 

127.8 

271,450 

660.4 

23,008 

56.0 

3.177 

6.69: 

11.3 

9.855 

16.7 

33,722 

572 

108,182 

183.4 

107,767 

182.7 

383,379 

650.0 

46,129 

182 

4,744 

8.0 

4.693 
9.4 

Forcible  rape    

Rate 

7,643 
15.3 

Robberk    

38,493 

Rate  

77.2 
132,177 

Rate  

265.0 

Bui^lar>     

Rate  

111.691 
223.9 

346.126 

Raie  

693.8 
61,041 

Rale 

122.4 

Arson 

Rale 

4.140 

8.3 

556.669 

293.0 

1,720.637 

905.8 

132.406 

331.1 

305,449 

763.8 

>2.*06 

201.5 

350,171 

852.0 

158.451 
268.6 

542.019 
918.9 

183.006 

Raie 

366.8 

522,998 

Raie 

1.048.4 

:.:-"' J06 

:. 198.8 

43^.855 
1.095.0 

432,977 
1,053.4 

700.470 
1.187.6 

"06.004 

Rate                   

1.415.2 

-S9.1+4 

415.4 

'".066 

40.6 

292.597 

154.0 

10,602 

5.6 

130,579 

68.7 

252,469 

132.9 

178,955 

94.2 

81,536 

42.9 

82,228 

43.3 

781J!50 

411.3 

12,913 

6.8 

72,527 

38J 

U88,876 

678.5 

453.807 

238.9 

657,119 

345.9 

569.314 

299." 

31,262 

16.5 

2.480.902 

1J06.0 

14.707 

7.7 

73.125 

38.5 

135,471 

71.3 

133.693 

334.3 

11.086 

27.7 

59.148 

147.9 

726 

1.8 

36.488 
91.2 

62.992 
157.5 

28.947 
72.4 

2U31 
53.3 

12.256 

30.6 

192.113 

480.4 

4,411 

11.0 

21,187 

53.0 

142.173 

355.5 

60.923 

152.4 

19,970 

49.9 

184,620 

461.7 

7,569 

18.9 

631,370 

1,578.9 

885 

2.2 

11.540 

28.9 

16,326 

40.8 

179.184 

435.9 

12.959 

31.5 

47,591 

115.8 

1.765 

4.3 

27.531 
67.0 

63,391 
154  J 

36.538 
88.9 

13.498 
3^8 

17.021 

41.4 

100,008 

243.3 

2.125 

5.2 

18,991 

46.2 

257,121 

625.6 

167.311 

407.1 

42.849 

104.3 

158J49 

385.0 

1.676 

4.1 

501.836 

1,221.0 

1.526 

3.7 

25.620 

62.3 

33,377 

81.2 

276J48 

468.3 

34,188 

58.0 

162,561 

275.6 

5^65 

9,4 

29,074 

49.3 

59.683 

101.2 

65,939 

111.8 

17,872 

30.3 

22,373 

37.9 

222,340 

377.0 

3.943 

6.7 

23,036 

39.1 

398,742 

676.0 

93J42 

158.1 

424405 

719.2 

152,119 

257.9 

2,653 

4.5 

752,195 

1,275.3 

11,954 

20.3 

10,707 

I8J 

53.884 

91.4 

:00.0I9 

Rate  

Forwr>  and  cousieifeiliiig  

400.9 

18.833 

37.8 

Fraud    

Rate  

23J97 

46.7 

2.546 

Rate 

5.1 

37.486 

Rate  

75.1 
66.403 

Rate                                    

133.1 

Weapons;  earning,  pcssessing.  etc.    

Rate  

Prt»iitutioo  and  commeiciaiized  vice 

Rate  

Sei  offenses  (except  fordbte  rape  and 

47.531 
95.3 

28,835 
57.8 

30.578 

Rate 

61.3 

266.789 

Rate                       

534.8 

Gambling  

Rate  

Offenses  iyi«<»  famiN  and  diiklren    

Raie  '. 

2.434 

4.9 

9.313 

18.7 

490.840 

Raic 

983.9 

132,331 

Rate                                    

265.3 

nnjpkennesR   

170.095 

Rate  

341.0 
74.326 

Rate  

149.0 

19.364 

Rate  ..             

38.8 

All  other  olfenses  (except  traffic) 

595,501 

Rate , 

1,193.7 

342 

Rate    ...                ... 

.7 

Curfe»  and  kmering  law  viotaiioos 

25J58 
50.6 

31.884 

Rate      

63.9 

i-c  arson 
AU  rates  «'ere  calculaied  before  rounding. 


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Table  32.— Total  Arrest  Trends,  1982-1991 

|7,073  agencies;  1991  estimated  population   161,135,000,   1982  estimated  population  147,670.000] 


Offense  charged 


Number  of  persons  arrested 


Total  all  ages 


1982 


1991 


Percent 
change 


Under  18  years  of  age 


1982 


1991 


Percent 
change 


18  years  of  age  and  over 


1982 


1991 


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  


7,873.099 


14.492 

22,425 

112,901 

203,868 

345,952 

899,084 

90,418 

13,797 


353.686 
1.349,251 


1,702,937 


.348,814 
65,587 

200,190 

6,295 

93,969 

160.991 

130.144 

89.036 


9,337,403 


17.066 

26.618 

129,573 

331,693 

291,980 

1,057,147 

145.869 

12,960 


504.950 
1.507.956 


2.012,906 


686,175 
67,930 
258,792 
9,143 
116,488 
218,345 
159,045 

75,870 


53.822 

72,447 

447.560 

697,432 

26.861 

11,847 

32.274 

57,617 

1,125.068 

1,065,062 

308,157 

358,966 

869,450 

605,262 

434,625 

491.227 

27,287 

29.530 

1,589.942 

2.161.689 

7,408 

8.586 

69.551 

62.656 

90.539 

118.974 

+18.6 


1,434,192 


1,514,915 


+5.6 


6,438,907 


7,822,488 


+  17.8 
+  18.7 
+  14.8 
+62.7 
-15.6 
+  17.6 
+61.3 
-6.1 


1.279 

3.299 

29,892 

27,376 

136,822 

293,404 

32.195 

5,304 


2,465 

4,094 

33,510 

47,013 

96,652 

316.142 

63.389 

6.041 


+92,7 
+24,1 
+  12,1 
+71,7 
-29,4 
+7.7 
+96,9 
+  13,9 


13.213 

19.126 

83.009 

176.492 

209.130 

605.680 

58.223 

8.493 


14.601 

22.524 

96.063 

284,680 

195,328 

741,005 

82.480 

6.919 


+42,8 
+  11,8 


61.846 

467.725 


87.082 
482.224 


+40.8 
+3.1 


291,840 
881,526 


417,868 
1,025,732 


+  18.2 


529  571 


569,306 


+7.5 


1.173.366 


1.443.600 


+96,7 
+3.6 
+29,3 
+45,2 
+24,0 
+35,6 
+22,2 

-14,8 

+34,6 
+55,8 
-55,9 
+78,5 
-5,3 

+  16,5 
-30,4 
+  13,0 

+8,2 
+36,0 
+  15,9 

-9,9 
+  31.4 


54,945 

105.701 

6,295 

5.528 

17,561 

9.765 

501 

685 

23.839 

31.422 

71,122 

92.538 

18.837 

33.485 

2.241 

8.925 

61.598 

816 

1.233 
20.389 

94,189 
29,306 
69,615 

3,275 
259.844 

2,191 
69,551 
90.539 


971 

12.575 

54.025 

783 

2.523 

10.861 

83.517 

14.847 

85.739 

2,019 

216,995 

2,751 

62,656 

118,974 


+92,4 
-12,2 
-44,4 
+36,7 
+31,8 
+30,1 
+77,8 

-56,7 

+40,9 

-12,3 

-4,0 

+  104,6 

-46.7 

-11,3 
-49,3 

+23,2 
-38,4 
-16,5 
+25,6 
-9,9 
+  31,4 


293.869 
59,292 

182.629 

5.794 

70.130 

89.869 

111.307 

86.795 

44.897 

385,962 

26.045 

31.041 

1.104,679 

213,968 

840,144 

365.010 

24.012 

1.330,098 

5,217 


580.474 
62.402 

249.027 

8.458 

85.066 

125,807 

125,560 

74,899 

59,872 

643,407 

11.064 

55.094 

1.054.201 

275.449 

590.415 

405,488 

27,511 

1,944.694 

5,835 


+21.5 


+  10.5 
+  17,8 
+  15,7 
+61,3 
-6.6 
+22.3 
+41,7 
-18,5 


+43,2 
+  16,4 


+23,0 


+97.5 
+5.2 
+36.4 
+46,0 
+21,3 
+40,0 
+  12,8 

-13,7 

+33,4 
+66.7 
-57.5 
+77.5 
-4.6 

+28.7 
-29.7 
+  11.1 
+  14.6 
+46.2 
+  11.8 


'Violent  crimes  are  offenses  of  murder,  forcible  rape,  robbery,  and  aggravated  assault. 
^Property  crimes  are  offenses  of  burglary,  larceny-theft,  motor  vehicle  theft,  and  arson. 
^Includes  arson. 


217 


Table  33.— Total  Arrest  Trends,  Sex,  1982-1991 

(7.073  agencies;   1991  estimated  population  161.135,000;  1982  estimated  population   147.670,000] 


Offense  charged 


Males 


Total 


1982 


1991 


Percent 
change 


Under  18 


1982 


1991 


Percent 
change 


Females 


Total 


1982 


1991 


Percent 
change 


Under  18 


1982 


1991 


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  tolaP   

Other  assaults  

Forgery  and  counterfeiting   

Fraud  

Embezzlement  

Stolen  property;  buying,  receiving, 

possessing  

Vandalism  

Weapons;  carrying,  possessing,  etc 

Prostitution  and  commercialized  vice    . 
Sex  offenses  (except  forcible  rape  and 

prostitution)  

Drug  abuse  violations 

Gambling  

Offenses  against  family  and  children   . 
Driving  under  the  influence    

Liquor  laws    

Drunkenness    

Disorderly  conduct    

Vagrancy   

All  other  offenses  (except  traffic)  

Suspicion  (not  included  in  totals)    

Curfew  and  loitering  law  violations    .. 
Runaways    


6,581,698 


12,624 

22,216 

104.636 

177,849 

322,005 

629,462 

82,343 

12,028 


317,325 
1,045,838 


1,363,163 


298,435 

44,233 

121,657 

4,338 

83,088 
145,775 
120,144 

24,065 

50.045 

386,128 

23,969 

28,457 

1,002,453 

260,854 

797,552 

366,052 

24,052 

1,344,537 

6,313 

54,526 

38,175 


7,583,006 


+  15.2 


,135,879 


1,171,409 


+3.1 


1,291,401 


1,754,397 


+35.9 


298,313 


343,506 


15.308 
26,318 
118,485 
286.496 
265,410 
717,967 
131,346 
11,261 


+21.3 
+  18.5 
+  13.2 
+61.1 
-17.6 
+  14.1 
+59.5 
-6.4 


1.178 

3,247 

27,908 

23,223 

127,501 

214,960 

28,684 

4,676 


2,352 

4,035 

30,559 

39,942 

88,359 

225,220 

56,266 

5,501 


+99.7 
+24.3 

+9.5 
+72.0 
-30.7 

+4.8 
+96.2 
+  17.6 


1,868 

209 

8,265 

26,019 

23,947 

269,622 

8,075 

1,769 


1,758 

300 

11,088 

45,197 

26,570 

339,180 

14,523 

1,699 


-5.9 
+43.5 
+34.2 
+73.7 
+  11.0 
+25.8 
+79.9 

-4.0 


101 

52 

1,984 

4,153 

9,321 

78,444 

3,511 

628 


113 

59 

2.951 

7,071 

8,293 

90,922 

7,123 

540 


446,607 
1,125,984 


+40.7 

+7.7 


55,556 
375,821 


76,888 
375,346 


+38.4 
-I 


36,361 
303,413 


58.343 
381.972 


+60.5 
+25,9 


6,290 
91,904 


10,194 
106,878 


1,572,591 


+  15.4 


431,377 


452,234 


+4,8 


339,774 


440,315 


+29.6 


98.194 


117,072 


573,138 

44,213 

149,977 

5,651 

102,699 
194,424 
147,686 

25,628 

67.215 

581,184 

10,265 

46,315 

925,267 

290,936 

542,380 

391,517 

26,360 

1,788,508 

7,117 

45,931 

51,121 


+92.0 

4 

+23.3 
+30.3 

+23.6 
+33.4 
+22.9 

+6.5 

+34.3 
+50.5 
-57.2 
+62.8 

-7.7 

+  11.5 
-32.0 
+7.0 
+9.6 
+33.0 
+  12.7 
-15.8 
+33.9 


43.219 

4.344 

13.897 

365 

21,628 
65,166 
1 7,609 

658 

8,362 

51,647 

780 

782 

18,009 

72,057 

25,181 

56,904 

2,720 

208,473 

1,762 

54,526 

38,175 


80,812 

3,686 

7.149 

447 

28,268 
84,863 
31,339 

455 

11,725 

48,153 

759 

1,668 

9,364 

60,499 

12,573 

67.963 

1,753 

1 70,647 

2,132 

45,931 

51,121 


+87.0 
-15.1 
-48.6 

+22.5 

+30.7 
+30.2 
+78.0 

-30.9 

+40.2 

-6.8 

-2.7 

+  113.3 

-48.0 

-16.0 
-50.1 
+  19.4 
-35.6 
-18.1 
+21.0 
-15,8 
+33.9 


50,379 

21,354 

78,533 

1,957 

10,881 
15,216 
10,000 

64,971 

3,777 

61,432 

2,892 

3,817 

122,615 

47,303 

71,898 

68,573 

3,235 

245,405 

1,095 

15,025 

52,364 


113,037 

23,717 

108,815 

3,492 

13,789 
23,921 
11,359 

50,242 

5,232 

116,248 

1,582 

11,302 

139,795 

68,030 

62,882 

99,710 

3.170 

373,181 

1,469 

16.725 

67,853 


+  124.4 
+  11.1 
+38.6 
+78.4 

+26.7 
+57.2 
+  13.6 

-22.7 

+38.5 
+89.2 
-45.3 
+  196.1 
+  14.0 

+43.8 
-12.5 
+45,4 
-2.0 
+52.1 
+  34.2 
+  11.3 
+29.6 


11,726 

1,951 

3,664 

136 

2,211 
5,956 
1,228 

1,583 

563 

9,951 

36 

451 
2,380 

22,132 
4,125 
12,711 

555 
51,371 

429 
15,025 
52,364 


24,889 

1,842 

2,616 

238 

3,154 
7,675 
2,146 

516 

850 

5,872 

24 

855 

1,497 

23,018 
2,274 
17,776 

266 
46,348 

619 
16,725 
67,853 


+15.1 


+  11.9 
+  13.5 
+48.7 
+70.3 
-11.0 
+  15.9 
+  102.9 
-14.0 


+62.1 
+  16.3 


+  19.2 


+  112.3 

-5.6 

-28.6 

+75.0 

+42.7 
+28.9 
+74.8 

-67.4 

+51.0 
-41.0 
-33.3 
+89.6 
-37.1 

+4.0 
-44.9 
+39.8 
-52.1 

-9.8 
+44.3 
+  11.3 
+29.6 


'Violent  crimes  are  offenses  of  murder,  forcible  rape,  robbery,  and  aggravated  assault, 
^Property  crimes  are  offenses  of  burglary,  larceny-theft,  motor  vehicle  theft,  and  arson, 
^Includes  arson. 
*Less  than  one-tenth  of  I  percent. 


218 


Table  34.— Total  Arrest  Trends,  1987-1991 

(7.982  agencies;  1991  estimated  population   168,451,000:  1987  estimated  population  162,610,000) 


Number 

of  persons  arrested 

Offense  charged 

Total  all  ages 

Under  18  years  o 

age 

18  years  of  age  and 

over 

1987 

1991 

Percent 
change 

1987 

1991 

Percent 
change 

1987 

1991 

Percent 
change 

TOTAL  

8.736,136 

9,606,542 

+10,0 

1,451,820 

1,588,561 

+9.4 

7,284,316 

8,017,981 

+  10.1 

13,484 

25,007 

101,200 

247.520 

296.448 

1.001. .303 

120.156 

12,360 

17,227 

26,988 

128,794 

326,315 

296.224 

1,101,662 

148,353 

13,092 

+27.8 

+7.9 

+27,3 

+31,8 

-.1 

+  10.0 

+23.5 

+  5.9 

1,336 

3,749 

22,160 

31,005 

102,418 

312,159 

47,132 

5,052 

2,476 

4,336 

33,616 

47,158 

99,682 

336.559 

65,066 

6,139 

+85.3 
+  15,7 
+51.7 
+52.1 
-2,7 
+7,8 
+38.1 
+21.5 

12,148 

21,258 

79,040 

216,515 

194,030 

689,144 

73,024 

7,308 

14.751 

22,652 

95,178 

279,157 

196,542 

765,103 

83.287 

6,953 

+21.4 

+6.6 

Robber>-                         

+20.4 

+28.9 

+  1.3 

+  11.0 

+  14.1 

-4.9 

387.211 
1,430,267 

499,324 
1,559,331 

+29.0 
+9.0 

58,250 
466.761 

87,586 
507,446 

+50.4 

+8.7 

328.961 
963.506 

411,738 
1,051,885 

+25.2 

+9.2 

1.817,478 

2,058,655 

+  13.3 

525,011 

595,032 

+  13.3 

1,292,467 

1,463,623 

+  13.2 

525,727 
62,975 
214,014 
8,887 
101,171 
189,490 
134,592 

82,570 

69,963 

657,235 

17,783 

38,153 

1,154,611 

405,342 

598,757 

460,867 

29,438 

1,981,911 

10,334 

69,821 

115.351 

710,456 
67.982 
248.956 
8,984 
114,207 
227,616 
163,005 

76.974 

72,666 

706,097 

11,626 

59.400 

1.121.969 

399.602 

582.036 

491,417 

30,096 

2,261,223 

13,914 

68.080 

125,495 

+35.1 
+8.0 
+  16.3 
+  1.1 
+  12.9 
+20.1 
+21.1 

-6.8 

+3.9 

+7.4 

-34,6 

+55.7 

-2.8 

-1.4 
-2.8 
+6.6 
+2,2 
+  14,1 
+34.6 
-2.5 
+8.8 

74,633 
5,692 
17,381 
810 
25,457 
78,944 
21,285 

1.594 

11,209 

63,636 

617 

2,220 

16,236 

109,690 

17,572 

70,444 

2,226 

221,991 

2,079 

69,821 

115,351 

113,1 33 
6,185 
10,240 
726 
31.094 
98.715 
34.557 

988 

13,075 

55,190 

784 

2,489 

11.373 

91.243 

14.577 

87.591 

2.085 

225.909 

2.873 

68.080 

125.495 

+51.6 
+8,7 
-41,1 
-10,4 
+22.1 
+25.0 
+62.4 

-.38.0 

+  16,6 
-13,3 

+27.1 
+  12.1 
-30,0 

-16.8 

-17,0 

+24,3 

-6,3 

+  1.8 

+38.2 

-2.5 

+8.8 

451.094 
57,283 

196,633 

8,077 

75,714 

110,546 

113,307 

80,976 

58.754 

593,599 

17,166 

35,933 

1,138,375 

295,652 

581,185 

390,423 

27.212 

1,759.920 

8.255 

597,323 
61,797 

238,716 

8,258 

83,113 

128,901 

128,448 

75,986 

59,591 

650,907 

10,842 

56,911 

1,110,596 

308,359 

567,459 

403,826 

28,011 

2,035,314 

11.041 

+32.4 

+7,9 

+21.4 

+2.2 

Stolen  properly;  buying,  receiving,  possessing  ... 

+9.8 
+  16,6 

+  13,4 

-6.2 

Sex  offenses  (except  forcible  rape  and 

+  1.4 

+9,7 

-36.8 

+58,4 

-2,4 

+4,3 

-2.4 

+3.4 

+2,9 

+  15,6 

+33,7 

'Violent  crimes  are  offenses  of  murder,  forcible  rape,  robbery,  and  aggravated  assault 
^Property  crimes  are  offenses  of  burglary,  larceny-theft,  motor  vehicle  theft,  and  arson. 
'Includes  arson. 


219 


Table  35.— Total  Arrest  Trends,  Sex,  1987-1991 

[7,982  agencies;  1991  estimated  population  168,451,000;  1987  estimated  population   162,610.000) 


Offense  charged 


Males 


Total 


1987 


1991 


Percent 
change 


Under  18 


1987 


1991 


Percent 
change 


Females 


Total 


1987 


1991 


Percent 
change 


Under  18 


1987 


1991 


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  agamst  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 


7,183,964 


7,800,277 


+8.6 


1 20,684 


,225,163 


+9.3 


1,552,172 


1,806,265 


+16.4 


331,136 


363,398 


11,870 

24,710 

92,775 

215,052 

271,409 

685,023 

108,687 

10,673 


15,471 
26.650 
117.761 
282,262 
269,421 
746,994 
133,491 
1 1 ,360 


+30.3 
+7.9 

+26.9 

+  31.3 

-.7 

+9.0 

+22.8 
+6.4 


1.223 

3,666 

20,579 

26,257 

94,491 

225,478 

42,186 

4,551 


2,360 

4,257 

30,647 

40,080 

91,138 

239,318 

57,697 

5,575 


+93.0 
+  16.1 
+48.9 
+  52.6 
-3.5 
+6.1 
+36.8 
+22.5 


1,614 

297 

8,425 

32,468 

25,039 

316,280 

11,469 

1,687 


1,756 

338 

11,033 

44,053 

26,803 

354,668 

14,862 

1,732 


+8.8 
+  13.8 
+31.0 
+35.7 

+7.0 
+  12.1 
+29,6 

+2.7 


113 

83 
1,581 
4,748 
7,927 
86,681 
4,946 
501 


116 

79 

2,969 

7,078 

8,544 

97,241 

7,369 

564 


344,407 
1,075,792 


442,144 
1,161,266 


+28.4 
+7.9 


51,725 
366,706 


77,344 
393,728 


+49.5 
+7.4 


42,804 
354,475 


57,180 
398,065 


+33.6 
+  12.3 


6,525 
100,055 


10,242 
113,718 


1,420,199 


1.603,410 


+  12.9 


418,431 


471,072 


+  12.6 


397,279 


455,245 


106,580 


123,960 


446,179 

41,278 

122,957 

5,396 

89,371 
169,532 
124,508 

28,249 

64,718 

557,512 

15,197 

31,307 

1,019,813 

331,514 

544,736 

369,597 

26,198 

1,673,919 

8,789 

52,438 

49,346 


593,398 

44,173 

143,094 

5,353 

100,569 
202,760 
151,437 

26,406 

67,483 

588,343 

10,090 

47,964 

972,917 

322,502 

522,045 

393,105 

26,842 

1,874,548 

11,612 

49,863 

53,975 


+33.0 

+7.0 

+  16.4 


+  12.5 
+  19.6 
+21.6 

-6.5 

+4.3 

+  5.5 

-33.6 

+53.2 

-4.6 

-2.7 
-4.2 
+6.4 
+2.5 
+  12.0 
+32.1 
-4.9 
+9.4 


57,572 

3,795 

12,925 

524 

23,107 
71,978 
19,811 

501 

10,456 

55,184 

579 

1,384 

13,990 

79,887 
14.804 
56,796 

1.824 
175,352 

1.640 
52,438 
49.346 


86,317 

4,074 

7,451 

471 

27,919 
90,419 
32,391 

470 

12,203 

49,192 

761 

1,617 

9,785 

65,793 

12,333 

69,376 

1,802 

177,879 

2,251 

49,863 

53.975 


+49.9 

+7.4 

-42.4 

-10.1 

+20.8 
+25.6 
+63.5 


+  16.7 
-10.9 
+  31.4 
+  16.8 
-30.1 

-17.6 

-16.7 

+22.1 

-1.2 

+  1.4 

+37.3 

-4.9 

+9.4 


79.548 

21,697 

91,057 

3,491 

1 1 ,800 
19,958 
10,084 

54,32 1 

5,245 

99,723 

2,586 

6,846 

134,798 

73,828 

54,021 

91,270 

3,240 

307,992 

1,545 

17,383 

66,005 


117,058 

23,809 

105,862 

3,631 

13,638 
24,856 
11,568 

50,568 

5,183 

117,754 

1,536 

11,436 

149,052 

77,100 
59,991 
98,312 

3,254 
386,675 

2,302 
18,217 
71.520 


+47.2 
+9.7 

+  16.3 
+4.0 

+  15.6 

+24.5 
+  14.7 

-6.9 

-1.2 
+  18.1 
-40.6 
+67.0 
+  10.6 

+4.4 
+  11.1 

+7.7 

+.4 

+25.5 

+49.0 

+4.8 

+8.4 


17,061 

1,897 

4,456 

286 

2,350 
6,966 
1,474 

1 ,093 

753 

8,452 

38 

836 
2,246 

29,803 
2,768 
13,648 

402 
46,639 

439 
17,383 
66,005 


26,816 

2,111 

2,789 

255 

3,175 
8,296 
2,166 

518 

872 

5.998 

23 

872 
1.588 

25,450 
2,244 
18,215 

283 
48.030 

622 
18,217 
71,520 


+9.7 


+2.7 
-4.8 
+87.8 
+49.1 
+7.8 
+  12.2 
+49.0 
+  12.6 


+57.0 
+  13.7 


+  16.3 


+57.2 
+  11.3 
-37.4 
-10.8 

+35.1 
+  19.1 
+46.9 

-52.6 

+  15.8 
-29.0 
-39.5 
+4.3 
-29.3 

-14.6 

-18.9 

+33.5 

-29.6 

+3.0 

+41.7 

+4.8 

+8.4 


'Violent  crimes  are  offenses  of  murder,  forcible  rape,  robber>',  and  aggravated  assault. 
^Property  crimes  are  offenses  of  burglary,  larceny-theft,  motor  vehicle  theft,  and  arson. 
'Includes  arson. 


220 


Table  36.— Total  Arrest  Trends,  1990-1991 

[8.757  agencies;   1991  estimated  population   17.1,791.000;   1990  population   171,641.000) 


OfTense  charged 


Number  of  persons  arrested 


Total  all  ages 


1990 


1991 


Percent 
change 


Under  15  years  of  age 


1990 


1991 


Percent 
change 


Under  18  years  of  age 


1990 


1991 


Percent 
change 


1 8  years  of  age  and  over 


1990 


1991 


Percent 
change 


TOTAL 


Murder  and  nonnegligent 

manslaughter  

Forcible  rape  

Robbery    

Aggravated  assault    

Burglary    

Larceny — Iheft    

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    


10,034,629 


9,885,040 


539,533 


578,112 


+7.2 


1,59.1,302 


1,643,815 


+3.2 


8,441,327 


8,241,225 


16,971 

27.805 

126.814 

329,692 

299,817 

1.098.004 

156.611 

13.467 


17.397 

28.000 

130.323 

333.427 

304.312 

1.122,142 

1 52.704 

13.777 


+2.5 
+.7 
+2.8 
+  1.1 
+  1.5 
+2.2 
-2.5 
+2.3 


263 

1.496 

8,452 

13.122 

39.098 

150.102 

18.668 

3.882 


1,642 
9,648 
14.875 
41,637 
158.014 
19.202 
4.490 


+9.5 

+9.8 

+  14.2 

+  13.4 

+6.5 

+  5.3 

+2.9 

+  15.7 


2,384 

4,249 

30,905 

45,254 

98,876 

331.382 

67.690 

5,905 


2.485 

4.476 

34,136 

48.621 

103,237 

346.481 

67.430 

6,533 


+4.2 
+5.3 

+  10.5 

+7.4 

+4.4 

+4.6 

-.4 

+  10.6 


14.587 

23.557 

95.909 

284.438 

200.941 

766,622 

88,921 

7.562 


14,912 

23,524 

96,187 

284,806 

201,075 

775,661 

85.274 

7.244 


501,283 
1,567,899 


509.147 
1.592.935 


+  1.6 
+  1.6 


23,333 
!1 1.750 


26.453 
223.343 


+  13.4 

+5.5 


82.792 
503,853 


89,718 
523,681 


+8.4 
+3.9 


418,491 
1,064.046 


419.429 
1.069,254 


2.069,182 


.102.082 


+  1.6 


235,083 


249,796 


+6.3 


586.645 


613.399 


+4.6 


1.482.537 


1,488,683 


706,932 
65,134 

236,498 
10,101 

118,548 
233,682 
159.884 


79,342 

75,744 

782.758 

13,733 

59,674 
1,273,054 

476,523 

666,448 

537,125 

28.670 

2.245,542 

16,896 

66,446 

129.609 


733,221 

68.856 

261.741 

9.607 

117.957 
237,434 
165,565 


76,549 

75,450 

722.077 

11,876 

65.582 
1,173,704 

421,542 

611.906 

509,372 

30.465 

2,290.839 

14.392 

69.414 

129.801 


+3.7 

+5.7 

+  10.7 

-4.9 

-,5 
+  1.6 
+3.6 


-3.5 

-.4 

-7.8 

-13.5 

+9.9 
-7,8 

-11.5 
-8.2 
-5.2 
+6.3 
+2.0 

-14.8 

+4.5 

+.1 


41,681 

1.102 

2,310 

114 

8,430 

46, 1 1  3 

7,884 


127 

6.300 

8,102 

142 

779 
313 

9,565 
2,146 

28,043 
746 

64,375 
1,048 

19.355 

56,823 


47,597 

1,133 

2.759 

15.1 

9,484 
51,158 
10.073 


135 

7,041 

8,021 

139 

892 
354 

8.796 
1,876 

30.423 
568 

69,195 
1,222 

20,743 

57,776 


+  14.2 

+2.8 

+  19.4 

+  34,2 

+  12.5 
+  10.9 
+27.8 


+6.3 

+  11.8 
-1.0 
-2.1 

+  14.5 
+  13.1 

-8.0 
-12.6 

+8.5 
-23.9 

+  7.5 
+  16.6 

+7.2 

+  1.7 


106.013 

5,931 

8,606 

791 

30.756 
94.813 
29,797 


1,138 

12.467 

59,156 

741 

2,419 
14,445 

11  1,159 

17.861 

90.254 

2,413 

221,842 

2,953 

66,446 

129.609 


116,233 

6,369 

10,433 

746 

32,564 

102,803 

35.266 


995 

I  3,670 

56,182 

821 

2,683 
12,157 

97,938 

15,384 

92.670 

2,139 

232,148 

3,060 

69,414 

129.801 


+9.6 

+7.4 

+21.2 

-5.7 

+5.9 

+8.4 

+  18.4 


-12.6 

+9.6 

-5.0 

+  10.8 

+  10.9 
-15.8 

-11.9 
-13.9 

+2.7 
-11.4 
+4.6 
+3.6 
+4.5 
+.1 


600,919 

59,203 

227,892 

9,310 

87,792 
138,869 
130,087 


78,204 

63,277 

723,602 

12,992 

57,255 
1,258,609 

365.364 

648.587 

446.871 

26,257 

2,023.700 

13,943 


616,988 

62,487 

251,308 

8,861 

85,393 
134,631 
130,299 


75.554 

61,780 

665,895 

11,055 

62,899 
1,151,547 

323,604 

596,522 

415,702 

28,326 

2.058,691 

1 1 .332 


-2.4 


+2.2 

-.1 

+.3 

+.1 

+.1 

+  L2 

-4.1 

-4.2 


+.2 
+.5 


+2.7 

+5,5 

+  10.3 

-4.8 

-2.7 
-3.1 

+.2 


-3.4 

-2.4 

-8.0 

-14.9 

+9.9 

-7.7 

-11.4 
-8.0 
-6.8 
+7.9 
+  1.7 

-18.7 


'Violent  crimes  are  offenses  of  murder,  forcible  rape,  robbery,  and  aggravated  assault, 
^Property  crimes  are  offenses  of  burglary,  larceny-theft,  motor  vehicle  theft,  and  arson. 
Mncludes  arson. 


221 


Table  37.— Total  Arrest  Trends,  Sex,  1990-1991 

[8.757  agencies;  1991  estimated  population   173.791.000;  1990  population   171.641.000] 


Offense  charged 


Males 


Total 


1990 


1991 


Percent 
change 


Under  18 


1990 


1991 


Percent 
change 


Females 


Total 


1990 


1991 


Percent 
change 


Under  18 


1990 


1991 


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    


8,190,097 


8,032,956 


-1.9 


1,229,246 


1,269,017 


+3.2 


1,844,532 


1,852,084 


+.4 


364,056 


374,798 


15.219 
27.509 
116,202 
286,314 
272,658 
746,072 
141,058 
11,688 


15,641 
27,646 
119,148 
288,641 
277,004 
761,722 
137,466 
12,001 


+2.8 
+.5 
+2.5 
+.8 
+  1.6 
+2.1 
-2.5 
+2.7 


2.263 

4,170 

28,186 

38,463 

90,662 

237,474 

60,407 

5,339 


2,367 

4,395 

31,122 

41,322 

94,479 

246,995 

59,839 

5,953 


+4.6 
+  5.4 

+  10.4 

+  7.4 

+4.2 

+4.0 

-.9 

+  11.5 


1,752 

297 

10,612 

43,378 

27,159 

351,932 

15,553 

1,779 


1,756 

354 

11,175 

44,786 

27,308 

360.420 

15.238 

1,776 


+.2 

+  19.2 

+5.3 

+3.2 

+.5 
+2.4 
-2.0 

-.2 


121 

79 

2.719 

6.791 

8,214 

93,908 

7,283 

566 


118 

81 

3,014 

7,299 

8,758 

99.486 

7,591 

580 


445,244 
1,171,476 


451,076 
1,188,193 


+  1.3 
+  1.4 


73.082 
393.882 


79,206 
407,266 


+8.4 
+  3.4 


56,039 
396,423 


58,071 
404,742 


+3.6 
+2.1 


9,710 
109,971 


10,512 
116,415 


1,616,720 


1,639,269 


+  1.4 


466,964 


486,472 


+4.2 


452,462 


462,813 


119,681 


126,927 


593.083 

42.538 

133.433 

5.902 

104,344 
208,590 
148,068 


27,468 

70,159 

650.804 

11,793 

48,932 
1,111,645 

385.675 

599.503 

431.515 

25,365 

1,869,702 

14,371 

48,356 

56,502 


612,228 

44,637 

150,529 

5,816 

103,867 
211,738 
153,868 


26,240 

70,233 

602,364 

10,346 

53,654 
1,017,656 

339,626 

548,333 

408,024 

27,190 

1,900,397 

12,021 

50,861 

56,080 


+3.2 

+4.9 

+  12.8 

-1.5 

-.5 
+  1.5 
+3.9 


-4.5 

+.1 

-7.4 

-12.3 

+9.7 
-8.5 

-11.9 
-8.5 
-5,4 

+7.2 

+  1.6 

-16.4 

+5.2 
-.7 


81.308 

3.969 

6.089 

498 

27,815 
86,819 
27,950 


522 

11,621 

52,445 

704 

1,569 
12,427 

79,794 
15,183 
71,835 

2,026 
174,850 

2,386 
48,356 
56.502 


88,775 

4,184 

7,578 

487 

29,259 
94,257 
33,094 


469 

12,711 

50,076 

799 

1,765 
10,480 

70,411 

12,996 

73,508 

1,863 

182,892 

2,412 

50,861 

56,080 


+9.2 

+5.4 

+24.5 

-2.2 

+5.2 

+8.6 

+  18.4 


-10.2 

+9.4 

-4.5 

+  13.5 

+  12.5 
-15.7 

-11.8 
-14.4 

+2.3 
-8.0 
+4.6 
+  1.1 

+  5.2 
-.7 


113,849 

22,596 

103,065 

4,199 

14,204 
25,092 
11,816 


51,874 

5,585 

131,954 

1,940 

10,742 
161,409 

90,848 

66,945 

105,610 

3.305 

375.840 

2.525 

18.090 

73.107 


120.993 

24.219 

111.212 

3.791 

14,090 
25,696 
11,697 


50,309 

5,217 

119,713 

1,530 

11,928 
156,048 

81.916 

63.573 

101,348 

3,275 

390,442 

2,371 

18,553 

73,721 


+6.3 

+7.2 
+  7.9 
-9.7 


+2.4 
-1.0 


-3.0 

-6.6 

-9.3 

-21.1 

+  11.0 
-3.3 

-9.8 
-5.0 
-4.0 

-.9 
+3.9 
-6.1 
+2.6 

+.8 


24,705 
1.962 

2.517 
293 

2,941 
7,994 
1,847 


616 

846 
6,711 

37 

8.50 
2,018 

31,365 
2,678 
18,419 

387 
46.992 

567 
18.090 
73.107 


27,458 

2,185 

2,855 

259 

3,305 
8,546 
2,172 


526 


959 
6,106 


918 
1,677 

27,527 
2,388 
19,162 

276 
49,256 

648 
18,553 
73,721 


+3.0 


-2.5 
+2.5 
+  10,8 
+7.5 
+6.6 
+5.9 
+4.2 
+2.5 


+8.3 
+  5.9 


+6.1 


+  11.1 
+  II.4 
+  13.4 
-11.6 

+  12.4 

+6.9 

+  17.6 


-14.6 

+  13.4 

-9.0 

-40.5 

+8,0 
-16.9 

-12.2 
-10.8 

+4.0 
-28,7 

+4,8 
+  14.3 

+2.6 
+.8 


'Violent  crimes  are  offenses  of  murder,  forcible  rape,  robbery,  and  aggravated  assault. 
^Property  crimes  are  offenses  of  burglary,  larceny-theft,  motor  vehicle  theft,  and  arson, 
'Includes  arson. 


222 


Table  38.— Total  Arrests.  Distribution  by  Age,  1991 

(10,148  agencies;  1991  estimated  population   189,961,000] 


Offense  charged 


Total 
all 
ages 


Ages 

under 

15 


Ages 

under 

18 


Ages 

18  and 

over 


Age 


Under 
10 


10-12 


13-14 


15 


17 


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   

OfTenses  against  family  and 
children  

Driving  under  the  influence  


Liquor  laws  

Drunkenness   

Disorderly  conduct    

Vagrancy  

All  other  offenses  (except  traffic) 

Suspicion    

Curfew  and  loitering  law 

violations   

Runaways  


10,743,755 
100,0 


614,063 

5,7 


1,749,343 
16,3 


8,994,412 

83,7 


40,266 
.4 


152,417 
1,4 


421,380 
3,9 


322,492 
3,0 


390,342 
3.6 


422,446 
3,9 


488,565 
4.5 


503,467 

4.7 


503,622 

4.7 


18,654 

30,350 

139,182 

368,483 

328,790 

1,215.303 

161.628 

14.916 


556,669 

100.0 

1,720,637 

100.0 


2.277,306 
100.0 


789.144 
77.066 

292,597 
10.602 

130.579 
252,469 

178.955 


81,536 

82,228 

781,250 

12,913 

72,527 
1,288,876 

453,807 
657,119 
569,314 

31.262 
2,480,902 

14,707 

73,125 
135,471 


302 

1.742 

9.979 

16.029 

44,320 

168.007 

20.076 

4.756 


2.626 

4.766 

35.632 

52.653 

109,965 

369,227 

70.659 

6.940 


16,028 

25,584 

103,550 

315,830 

218,825 

846,076 

90.969 

7.976 


6 

81 

238 

1.068 

3.395 

11.663 

253 

1,068 


29 

441 

1,924 

3.859 

11,959 

50,505 

2,423 

1.571 


267 

1,220 

7,817 

11,102 

28,966 

105,839 

17,400 

:,ii7 


502 

869 

7,059 

9,437 

20,352 

64,951 

16.802 

897 


777 

988 

8.978 

12,678 

22,674 

70.255 

18.166 

694 


1.045 

1.167 

9,616 

14,509 

22,619 

66,014 

15,615 

593 


1,465 

1,367 

9,729 

15,677 

23,020 

62.959 

12,399 

553 


1,362 

1,320 

8,630 

15.899 

19,185 

54,101 

9,518 

469 


1,269 

1,292 

7,990 

15,772 

15,914 

47,163 

7,605 

429 


28,052 

5.0 

237.159 

13.8 


95,677 

17.2 

556,791 

32.4 


460,992 

82,8 

1,163.846 

67,6 


1.393 

.3 

16,379 

1.0 


6.253 

1.1 

66.458 

3.9 


20.406 

3.7 

154,322 

9.0 


17,867 

3.2 

103,002 

6,0 


23,421 

4.2 

111,789 

6.5 


26,337 

4.7 

104,841 

6,1 


28,238 

5.1 

98,931 

5.7 


27,211 
4.9 

83,273 
4.8 


26,323 
4.7 

71,111 
4.1 


265.211 
11.6 


652,468 

28.7 


1.624.838 
71.3 


17.772 


72.711 
3.2 


174.728 

7.7 


120,869 
5.3 


135,210 
5.9 


131,178 
5.8 


127,169 
5.6 


110,484 
4.9 


97,434 
4.3 


50.026 

1,221 

2,870 

158 

10.107 
53,730 

10,693 


148 

7.406 

8,582 

143 

996 
402 

9.320 
1.994 

32.346 
596 

74.706 
1.253 

21,859 
60.296 


122.624 

6.866 

10,943 

784 

35.220 
107.890 

37,575 


1,075 

14,417 

60,428 

912 

2,944 
13,437 

104,210 

16,372 

99,322 

2.257 

247.853 

3.150 

73,125 
135.471 


666.520 

70.200 

281,654 

9,818 

95.359 
144,579 

141.380 


80,461 

67,811 

720.822 

12,001 

69,583 
1,275,439 

349,597 

640,747 

469,992 

29.005 

2,233,049 

11,557 


3,250 
65 
93 
13 

298 
6,933 

400 


707 

148 

4 

155 
143 

171 
102 

2.049 
22 

5,590 
112 

498 
1.736 


13,853 
314 
502 

47 

1.766 
17.387 

2.183 


30 

2,031 

900 

15 

202 
44 

729 

167 

7,905 

99 

16,826 

260 

3.468 
10.978 


32.923 
842 

2.275 
98 

8,043 
29,410 

8,110 


113 

4,668 

7.534 
124 

639 
215 

8,420 

1.725 

22,392 

475 

52,290 

881 

17,893 
47,582 


21.960 
1.018 
2,642 


6,939 

17,742 


7.061 


123 

2.437 

10.133 

173 

619 
563 

14,731 
2,413 
18.197 

446 
42.026 

622 

16,937 
34,753 


24,501 

1.891 

2,168 

211 

8,680 
19,100 

9,211 


278 

2.387 

17.166 

219 

636 
3.299 

30,651 

4,095 

22,629 

622 
58,049 

673 

19,930 
28,736 


26,137 
2,736 
3.263 

327 

9.494 
17.318 

10,610 


526 

2,187 
24,547 

377 

693 
9,173 

49,508 

7.870 

26.150 

593 
73,072 

602 

14.399 
11,686 


27.544 

3,751 

6,930 

530 

10.462 
13.945 

12,076 


1,479 

2,396 

35.665 

466 

1,953 
23,617 

71,860 

16,809 

29,271 

1.106 

100.902 

634 


29,432 

4,167 

10.091 

604 

8,780 
11,951 

11,140 


2,274 

2.395 

38.454 

491 

1.987 
33.415 

71,980 
19,549 
29,069 

970 
115,632 

602 


31,550 

4,488 

12,663 

587 

7,360 
10,565 

9,994 


3,047 

2,357 

40,061 

374 

2,301 
42,522 

63,111 
21.716 
29,471 

853 
122,560 

608 


See  footnotes  at  end  of  table. 


223 


Table  38. — Total  Arrests,  Distribution  by  Age,  1991 — Continued 


Offense  charged 


Age 


22 


23 


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'  

Property  crime^  

Percent  distribution'  

Crime  Index  total'    

Percent  distribution'  

Other  assaults  

Forgery  and  counterfeiting  

Fraud    

Embezzlement  

Stolen  properly;  buying,  receiving, 

possessing  

Vandalism  

Weapons;  carrying,  possessing, 

etc 

Prostitution  and  commercialized 

vice 

Sex  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   


416,047 
3.9 


395,884 

3.7 


385,429 
3.6 


1,838,683 
17.1 


1,540,824 
14.3 


,038,116 
9.7 


629,670 
5.9 


333,899 
3.1 


190,702 
1.8 


113,178 
1.1 


71,292 

.7 


967 

1,140 

6,093 

14,411 

11,512 

36,182 

5,198 

355 


22.611 
4.1 

53,247 
3.1 


75,858 
3.3 


30,622 

3,462 

13.144 

485 

5,202 
7,921 

8,142 


4,111 

2,313 

35,837 

316 

2,653 
53,782 

11,525 
23,642 
25,848 

744 
109,957 

483 


762 

1,136 

5,619 

14,157 

10,404 

33.691 

4,583 

282 


666 

1,157 

5,318 

13,798 

10,031 

32,126 

4,214 

299 


2,810 

5,501 

23,404 

67,370 

45,021 

158,075 

16,924 

1.532 


2,143 
4,550 
15,763 
55,994 
33,648 
138,426 
11,750 
1,309 


1,389 

2,991 

7,968 

36,975 

20,087 

98,197 

6,528 

954 


871 

1,756 

3,541 

22.255 

9,507 

59,786 

3,207 

596 


448 

856 

1,313 

12,137 

3,730 

30,631 

1.404 

332 


347 

536 

583 

6,708 

1,633 

18,253 

605 

215 


158 
295 
248 
3,779 
843 
12,179 
305 
120 


123 
193 
117 

2,380 
392 

8,931 
126 
69 


21.674 
3.9 

48,960 
2.8 


20,939 

3.8 

46,670 

2.7 


99,085 

17.8 

221,552 

12.9 


78,450 

14.1 

185,133 

10.8 


49,323 

8.9 

125,766 

7.3 


28,423 
5.1 

73,096 
4.2 


14,754 
2.7 

36,097 
2.1 


8,174 

1.5 

20,706 

1.2 


4,480 

.8 

1 3,447 


2,813 
.5 

9,518 
.6 


70,634 
3.1 


67,609 
3.0 


320,637 
14.1 


263,583 
11.6 


175,089 

7.7 


101,519 
4.5 


50,851 


28,880 
1.3 


17,927 


12,331 

.5 


30,302 

3,273 

13,277 

463 

4,710 
7,098 

7,221 


4,218 

2,294 

34,509 

293 

2,584 
53,027 

9,259 

22,862 

23,535 

747 

105,070 

508 


30,758 

3.257 

13,354 

404 

4,219 
6,561 

6,391 


4,176 

2,437 

33,974 

322 

2,852 
53,064 

7,880 

22,419 

22,385 

750 

102,124 

493 


151,250 

15,285 

61,618 

1,981 

17,839 
29,376 

26,317 


22,514 

12,687 

166,221 

1,489 

15,063 
270,717 

29,934 

118,804 

96,029 

4.673 

473,789 

2,460 


125,123 

12,239 

52,123 

1,522 

12,934 
21,473 

19,230 


17,438 

12,297 

136,893 

1,588 

14,509 
239,119 

22,970 

117,177 

74,174 

5,921 

388,395 

2,116 


79,029 
8,158 

36,939 
1,061 

8,539 
12,435 

12,382 


9,176 

9,029 

84,756 

1,406 

10,779 
167,851 

1 5,949 
91,541 
47,253 

5,104 
260,088 

1,552 


45,838 

4,370 

23,289 

699 

4,534 
6,623 

7,963 


4,155 

6,162 

43,732 

1,224 

6,285 
113,845 

10,722 

61,761 

27,740 

3,032 

155,315 

862 


23,490 

1,902 

11,877 

383 

2,128 
3,253 

4,554 


1,852 

3,736 

17,845 

1,046 

2,959 
67,975 

6.564 
37,756 
14,410 

1,840 

79,143 

335 


12,637 

959 

5,859 

281 

1,183 
1,709 

2,604 


918 

2,651 

7,726 

872 

1,390 
41,429 

4.153 

24,672 

8,347 

1,174 

43,080 

178 


7,052 
406 

3,270 
143 

569 
913 


525 

1.689 

3,422 

676 

693 
25,663 

2,872 

16,170 

4,730 

600 

24,203 

67 


4,249 

228 

1,727 

49 

328 
512 

1,029 


305 

1,273 
1,659 

473 

404 
16,796 

1,786 

10,022 

3,069 

344 

14,663 

45 


78,831 

.7 


173 

204 

147 

2,682 

445 

13,581 

172 

90 


3,206 

.6 

14,288 


17,494 


4,876 

222 

2,266 

42 

324 
748 

1,218 


403 

1,652 

1,455 

589 

438 
15,726 

1,641 

9,859 

3,582 

298 

15,948 

50 


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

^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. 


224 


Table  39. — Male  Arrests,  Distribution  by  Age,  1991 

[10,148  agencies;  1991  estimated  population   189.961,000] 


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  nonnegligeni 

manslaughter    

Forcible  rape    

Robber>  

Aggravated  assault 

Burglary  

Larceny-theft    

Motor  vehicle  theft  

Arson    

Violent  crime^  

Percent  distribution'    

Property  crime^ 

Percent  distnbution'    

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  


8,729,684 

100.0 


458,371 

5.3 


,351,758 

15.5 


7,377,926 

84,5 


33,970 

.4 


119,831 

1.4 


304,570 

3.5 


239,704 

2.7 


305,901 

3.5 


347,782 
4.0 


412,571 

4,7 


423,740 

4.9 


421,162 

4.8 


16,733 
29.964 
127,280 
318,180 
299,541 
825,976 
145,446 
12,965 


492,157 

100.0 

1,283,928 

lOO.O 


1,776,085 
100,0 


659,120 

50,116 

167,066 

6,474 

114,964 
224,934 

166,133 


27,786 

76,440 

652,168 

11,270 

59,406 
1,117,678 

366,496 

588,569 

455,189 

27,898 

2,057,464 

12,287 

53,511 
58,630 


283 

1,706 

8,786 

13,104 

39,841 

121,094 

16,992 

4,306 


2.504 

4,679 

32,525 

44,678 

100,688 

263,323 

62,669 

6,319 


14,229 

25,285 

94,755 

273.502 

198,853 

562,653 

82,777 

6,646 


4 

81 

227 

976 

3,053 

9,409 

238 

987 


26 

430 

1,710 

3,277 

10,714 

37.594 

2,061 

1,453 


253 

1,195 

6,849 

8,851 

26,074 

74,091 

14,693 

1,866 


476 

853 

6,388 

7,836 

18,641 

45,173 

14,800 

812 


752 

977 

8,287 

10,906 

21,017 

49,808 

16,469 

649 


993 

1,143 

9,064 

12,832 

21,189 

47,248 

14,408 

552 


1,390 

1,357 

9,203 

14,099 

2 1 ,640 

45,512 

11,592 

492 


1,289 

1,311 

8,159 

14,156 

17,911 

38,182 

8,857 

423 


1,186 

1,281 

7,501 

13,824 

14,730 

32,315 

7,092 

386 


23,879 

4.9 

182,233 

14.2 


84,386 

17.1 

432,999 

33,7 


407,771 
82,9 

850.929 
66,3 


1.288 

.3 

13,687 

1,1 


5,443 

I.I 

51,822 

4.0 


17,148 

3.5 

116,724 

9.1 


15,553 
3.2 

79,426 
6.2 


20,922 
4.3 

87,943 
6.8 


24,032 
4.9 

83.397 
6.5 


26,049 
5.3 

79,236 
6.2 


24,915 
5.1 

65,373 
5.1 


23,792 

4.8 

54,523 

4.2 


206,112 
11.6 


517,385 
29,1 


1.258,700 
70.9 


14,975 


57,265 
3.2 


133,872 

7.5 


94,979 
5.3 


108,865 
6.1 


107,429 
6.0 


105,285 
5.9 


90,288 
5.1 


78,315 
4.4 


37,087 

820 

1.961 

113 

8,915 
49,093 


80 

6,793 

7,200 

139 

591 
318 

5,189 

1,414 

24.552 

501 

56.206 

980 

15,122 
25,441 


93,778 

4,567 

7.933 

508 

31,645 
98,890 

35,193 


1 3,407 
53,899 


1,932 
11,591 

75,189 

13,837 

78.531 

1.956 

195.497 

2,481 

53,511 
58,630 


565,342 

45,549 

159,133 

5,966 

83.319 
126,044 

1 30,940 


27,276 

63,033 

598,269 

10,382 

57,474 
1.106,087 

291,307 

574,732 

376,658 

25,942 

1,861,967 

9,806 


2,794 
43 
60 
12 

277 
6,395 

378 


623 

125 
4 

99 
119 

126 
88 

1,717 
16 

4,400 
87 

408 
1,222 


10,833 

229 

347 

34 

1,596 
15.999 

1,982 


23 

1.859 

736 

14 

133 
39 

385 

124 

6.290 

84 

1 3.404 

212 

2,504 
5,739 


23,460 

548 

1,554 

67 

7,042 
26,699 

7,384 


55 

4,311 

6,339 

121 

359 
160 

4,678 

1,202 

16,545 

401 

38,402 

681 

12,210 
18,480 


16,289 

672 

1,955 

62 

6,151 
16,188 

6,598 


52 

2,283 

8,935 

169 

380 
451 

9,411 

1,895 

14,016 

382 

31,934 

454 

12,144 
14,304 


19,133 

1,196 

1,615 

131 

7,879 
17,633 

8,735 


127 

2,259 

15.454 

214 

442 
2,789 

22,152 
3,514 
18,337 

557 
46,504 

518 

14,922 
12,925 


21,269 

1,879 

2,402 

202 

8,700 
15,976 

10,116 


251 

2,072 

22,310 

366 

519 
8,033 

38,437 

7,014 

21,626 

516 
60,853 

529 

11,323 
5,960 


22,919 

2,547 

4,391 

276 

9,633 
12,839 

11,572 


534 

2,244 

32,023 

443 

1,574 
20,874 

57,326 
15,436 
24,699 
1,002 
86,387 
567 


24,608 

2,721 

6,056 

316 

7,960 
10,879 

10,640 


716 

2,218 

34,224 

468 

1.622 
29,368 

58,916 
17,864 
24,388 

880 
99,072 

536 


26,552 

2,883 

7,249 

315 

6,658 
9,492 

9,463 


965 

2,121 

35,192 

352 

1,875 
37,544 

52,363 
19,798 
24,558 

742 
104,191 

534 


See  footnotes  at  end  of  table 


225 


Table  39.— Male  Arrests,  Distribution  by  Age,  1991 — Continued 


Ag 

OfTense  charged 

22 

23 

24 

25-29 

30-34 

35-39 

40-44 

45-49 

50-54 

55-59 

60-64 

65  and 
over 

TOTAL  

MS.OM 
4.0 

325,088 

3.7 

314,412 
3.6 

1,482,714 
17.0 

1,238,577 
14.2 

842,222 
9.6 

520,650 
6.0 

279,211 
3.2 

161,291 
1.8 

%,608 
1.1 

60,737 

.7 

64,723 

Percent  distribution'        

,7 

Murder  and  nonnegligeni 

874 

1,129 

5,670 

12,545 

10,616 

24,195 

4,772 

320 

698 

1.120 

5.187 

12.346 

9.501 

21.966 

4.191 

238 

588 

1,149 

4,882 

11,932 

9,103 

20,834 

3,786 

259 

2,443 

5.430 

21.032 

57.589 

40.537 

102.309 

15.107 

1.263 

1.789 
4.492 
13.992 
47.720 
30.000 
91.388 
10.358 
1.028 

1.166 

2,948 

7.121 

31,640 

17,895 

65.965 

5.792 

752 

727 

1,729 

3,204 

19,340 

8,469 

40,481 

2,903 

477 

380 

851 

1,208 

10,610 

3,251 

19,892 

1,269 

270 

290 

530 

531 

5,916 

1,429 

11,299 

562 

175 

137 
293 
221 

3,409 
742 

7,144 

286 

98 

109 
192 
110 

2,166 
323 

5,089 
115 
55 

153 

201 

135 

2,426 

375 

Larceny-theft     

7,557 

156 

78 

20,218 
4.1 

39,903 
3.1 

19.351 
3.9 

35,896 
2.8 

18.551 
3.8 

33,982 
2.6 

86.494 

17.6 

159.216 

12.4 

67.993 

13.8 

132.774 

10.3 

42.875 
8.7 

90.404 
7.0 

25,000 
5.1 

52,330 
4.1 

13,049 
2.7 

24,682 
1.9 

7,267 

IS" 

13,465 

1.0 

4.060 
.8 

8.270 
,6 

2,577 
.5 

5,582 
.4 

2,915 

Percent  distribution'       

.6 

8,266 

.6 

Crime  Index  total*                               

60,121 
3.4 

55,247 
3.1 

52.533 
3.0 

245.710 
13.8 

200.767 
11.3 

133.279 

7.5 

77,330 
4.4 

37,731 
2.1 

20,732 
1.2 

12.330 

.7 

8,159 
.5 

11.181 

.6 

25,950 

2,265 

7,310 

266 

4,598 
6,988 

7.646 

1.166 

2.074 

30.690 

293 

2.132 
47.020 

9.947 
21.469 
21.108 

664 
92.930 

397 

25,488 

2,085 

7,186 

244 

4,102 
6,213 

6,706 

1,226 

2,029 
29,073 

257 

2,110 
46,394 

8,040 
20,627 
18,908 

647 
88,071 

435 

26.013 

2.124 

7.320 

249 

3.648 
5.676 

5.901 

1.227 

2,202 

28,173 

287 

2,316 
46.308 

6.791 
20.018 
17.738 

626 
84.856 

406 

127.998 

9.742 

34.257 

1.239 

15.220 
25.113 

24,050 

6.392 

11.436 

134.436 

1.265 

12.443 
233.107 

25.528 

104.902 

74,093 

4,077 

389,661 

2,045 

106.063 

7.734 

29.060 

989 

10.862 
18.112 

17,381 

5,228 

11,304 

109,031 

1,317 

11,846 
204,201 

19,445 

102,790 

57,361 

5.262 

318.088 

1.736 

67.518 

5.310 

20.402 

672 

7.192 
10.563 

11,137 

3.371 

8.479 

68,186 

1,181 

8,866 
143,723 

13,646 

81,226 

37,210 

4,661 

214,292 

1,308 

39,492 

2,929 

13,149 

433 

3,868 
5,646 

7,265 

2,210 

5,903 

36,424 

995 

5,362 
98,307 

9,283 

55.711 

22.622 

2.689 

130,284 

748 

20,322 

1,254 

7,041 

240 

1,850 
2,741 

4,194 

1,293 

3,630 

15,198 

878 

2,581 
59,468 

5,720 
34,386 
11,731 

1,722 

66,936 

295 

10,905 
660 

3,571 

225 

1,050 
1,465 

2,364 

758 

2,611 
6,561 

742 

1,196 
36,918 

3,633 

22,782 

6,952 

1,089 

36,915 

162 

6,103 
298 

2,025 
100 

502 

772 

1.479 

468 

1.674 

2,970 

603 

598 

23,242 

2,607 

15.283 

3,998 

562 

20,932 

62 

3,729 

180 

1,163 

36 

290 
443 

964 

277 

1,262 

1,429 

418 

334 
15,378 

1,598 

9,463 

2,616 

328 

12,630 

40 

4.135 

172 

1.380 

39 

Stolen  property:  buying,  receiving, 

290 

638 

etc                                    

1.140 

Prostitution  and  commercialized 

376 

Sex  offenses  (except  forcible  rape 

1,639 

1,213 

Gambling                   

542 

Offenses  against  family  and 

366 

Driving  under  the  influence  

14,423 

1,451 

9,284 

2,987 

247 

All  other  offenses  (except  traffic)  

13,174 

46 

Curfew  and  loitering  law 

Runaways   

'Because  of  rounding,  the  percentages  may  not  add  to  (oial. 

'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. 


226 


Table  40. — Female  Arrests,  Distribution  by  Age,  1991 

(10,148  agencies;   1991  estimated  population  189.961.000) 


Offense  charged 


Total 
all 
ages 


Ages 

under 

15 


Ages 

under 

18 


Ages 

18  and 

over 


Age 


Under 
10 


10-12 


13-14 


17 


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  


2,014,071 
100,0 


1,921 

386 

11.902 

50.303 

29.249 

389.327 

16,182 

1,951 


64.512 

100.0 

436.709 

100.0 


501,221 
100.0 


130.024 

26.950 

125.531 

4.128 

15.615 

27,535 

12,822 


53.750 

5.788 

129.082 

1.643 

13.121 
171.198 

87,311 

68.550 

114.125 

3.364 

423,438 

2,420 

19,614 
76.841 


155,692 

7.7 


397,5S5 
19.7 


1.616.486 
80,3 


6,296 

.3 


32,586 
1.6 


116,810 

5.8 


82,788 
4.1 


84,441 

4.2 


74,664 

3.7 


75,W4 
3.8 


79,727 
4.0 


82.460 
4.1 


19 

36 

1.193 

2,925 

4,479 

46,913 

3,084 

450 


122 

87 

3,107 

7,975 

9,277 

105.904 

7.990 

621 


1.799 

299 

8.795 

42,328 

19,972 

283.423 

8,192 

1,330 


11 

92 

342 

2.254 

15 

81 


3 

11 

214 

582 

1.245 

12.911 

362 

118 


14 

25 

968 

2,251 

2,892 

31.748 

2.707 

251 


26 

16 

671 

1.601 

1,711 

19,778 

2,002 

85 


25 

II 

691 

1.772 

1.657 

20.447 

1.697 

45 


52 

24 

552 

1.677 

1.430 

18.766 

1.207 

41 


75 

10 

526 

1.578 

1.380 

17.447 

807 

61 


73 

9 

471 

1.743 

1.274 

15.919 

661 

46 


83 

II 

489 

1.948 

1.184 

14,848 

513 

43 


4.173 

6.5 

54,926 

12.6 


11,291 

17.5 

123,792 

28.3 


53.221 

82.5 

312.917 

71.7 


105 


2.692 
.6 


810 

1.3 

14.636 

3.4 


3.258 

5.1 

37,598 

8.6 


2.314 
3.6 

23,576 
5.4 


2,499 

3.9 

23.846 

5.5 


2,305 

3.6 

21.444 

4.9 


2.189 

3.4 

19.695 

4.5 


2.296 

3.6 

17.900 

4.1 


2,531 

3.9 

16.588 

3.8 


59.099 
11.8 


135.083 
27.0 


366,138 
73.0 


2,797 
.6 


15.446 
3.1 


40.856 
8.2 


25,890 

5.2 


26,345 
5.3 


23.749 
4.7 


21,884 
4.4 


20.196 
4.0 


19,119 

3.8 


12.939 
401 
909 

45 

1.192 
4,637 

949 


68 

613 

1.382 

4 

405 
84 

4,131 

580 

7,794 

95 

18,500 

273 

6.737 
34.855 


28,846 

2,299 

3,010 

276 

3,575 
9.000 

2.382 


565 

I.OIO 
6,529 

24 

1,012 
1,846 

29.021 

2.535 

20,791 

301 
52,356 

669 

19,614 
76,841 


101,178 

24.651 

122.521 

3.852 

12.040 
18,535 

10,440 


53,185 

4.778 

122,553 

1.619 

12.109 
169.352 

58.290 

66,015 

93,334 

3,063 

371,082 

1.751 


456 

22 

33 

I 

21 
538 

22 


56 
24 

45 

14 

332 

6 

1,190 

25 

90 
514 


3,020 

85 

155 

13 

170 
1,388 

201 


172 

164 

1 

69 

5 

344 

43 

1.615 

15 

3.422 
48 

964 
5,239 


9,463 

294 

721 

31 

1,001 
2,711 

726 


58 

357 

1,195 

3 

280 
55 

3,742 

523 

5.847 

74 

13.888 

200 

5.683 
29.102 


5,671 

346 

687 

26 

788 
1.554 

463 


71 

154 
1.198 

4 

239 
112 

5.320 

518 

4,181 

64 

10.092 

168 

4.793 
20.449 


5,368 

695 

553 

80 

801 
1.467 

476 


151 

128 
1,712 

5 

194 
510 

8,499 

581 

4,292 

65 

11,545 

155 

5,008 
15.811 


857 
861 
125 

794 
1.342 

494 


275 

115 

2,237 
11 

174 
1,140 

11.071 

856 

4.524 

77 

12.219 

73 

3,076 
5,726 


4,625 

1.204 

2.539 

254 

829 
1.106 

504 


945 

152 

3.642 

23 

379 
2,743 

14.534 

1,373 

4.572 

104 

14.515 

67 


4.824 

1.446 

4,035 

288 

820 
1,072 

500 


1.558 

177 

4,230 

23 

365 
4,047 

13.064 

1.685 

4.681 

90 

16,560 

66 


4,998 

1,605 

5.414 

272 

702 
1.073 

531 


2.082 

236 

4,869 

22 

426 
4.978 

10.748 

1.918 

4.913 

111 

18.369 

74 


See  footnotes  at  end  of  table. 


227 


Table  40. — Female  Arrests,  Distribution  by  Age,  1991 — Continued 


Age 

Offense  charged 

22 

23 

24 

25-29 

30-34 

35-39 

40-44 

45-49 

50-54 

55-59 

60-64 

65  and 
over 

TOTAL  

71,013 
3.5 

70,796 
3.5 

71,017 
3.5 

355,969 

17.7 

302,247 
15.0 

195,894 
9,7 

109,020 
5.4 

54,688 

2,7 

29,411 
1.5 

16,570 
.8 

10,555 

•5 

14.108 

.7 

Murder  and  nonnegligent 

93 
II 

423 

1,866 

896 

11,987 

426 

35 

64 

16 

432 

1,811 

903 

11,725 

392 

44 

78 

8 

436 

1.866 

928 

11.292 

428 

40 

367 

71 

2,372 

9,781 

4,484 

55,766 

1,817 

269 

354 

58 

1,771 

8,274 

3,648 

47,038 

1,392 

281 

223 

43 

847 

5,335 

2,192 

32,232 

736 

202 

144 

27 

337 

2,915 

1,038 

19,305 

304 

119 

68 

5 

105 

1,527 

479 

10,739 

135 

62 

57 
6 

52 

792 

204 

6,954 

43 

40 

21 

27 

370 

101 

5,035 

19 

22 

14 

1 

7 

214 

59 

3,842 

11 

14 

20 

3 

12 

256 

Burglary              

70 

5,924 

16 

12 

Violent  crime^                  

2,393 

3.7 

13,344 

3.1 

2,323 

3.6 

13,064 

3.0 

2,388 

3.7 

12,688 

2.9 

12,591 
19.5 

62,336 
14.3 

10,457 
16.2 

52,359 
12.0 

6,448 

10.0 

35,362 

8.1 

3,423 

5.3 

20,766 

4.8 

1,705 

2.6 

11,415 

2.6 

907 

1.4 

7,241 

1.7 

420 

.7 

5,177 

1.2 

236 

.4 

3,936 

.9 

291 

Percent  distribution'  

.5 

6,022 

1.4 

15,737 
3.1 

15,387 
3.1 

15.076 
3.0 

74,927 
14.9 

62,816 
12.5 

41,810 
8.3 

24,189 
4.8 

13.120 
2.6 

8,148 
1.6 

5,597 
I.I 

4,172 
.8 

6,313 

1.3 

4,672 

1.197 

5,834 

219 

604 
933 

496 

2.945 

239 

5,147 

23 

521 
6,762 

1,578 
2,173 
4.740 

80 
17,027 

86 

4,814 

1,188 

6,091 

219 

608 
885 

515 

2,992 

265 

5,436 

36 

474 
6,633 

1,219 

2,235 

4,627 

100 

16,999 

73 

4,745 

1,133 

6,034 

155 

571 
885 

490 

2.949 

235 

5,801 

35 

536 
6,756 

1.089 

2.401 

4.647 

124 

17.268 

87 

23,252 

5,543 

27,361 

742 

2,619 
4,263 

2.267 

16,122 

1,251 

31,785 

224 

2,620 
37,610 

4,406 
13,902 
21,936 

596 
84,128 

415 

19,060 

4,505 

23,063 

533 

2,072 
3,361 

1,849 

12,210 

993 

27,862 

271 

2,663 
34,918 

3,525 
14,387 
16,813 

659 
70,307 

380 

11,511 

2,848 

16,537 

389 

1,347 
1,872 

1,245 

5,805 

5.50 

16,570 

225 

1.913 
24,128 

2,303 

10,315 

10,043 

443 

45,796 

244 

6,346 

1.441 

10,140 

266 

666 

977 

698 

1,945 

259 

7,308 

229 

923 
15,538 

1,439 

6,050 

5.118 

343 

25.031 

114 

3,168 
648 

4,836 
143 

278 
512 

360 

559 

106 

2,647 

168 

378 
8.507 

844 

3.370 

2,679 

118 

12,207 

40 

1,732 

299 

2,288 

56 

133 
244 

240 

160 

40 

1,155 

1.30 

194 
4,511 

520 
1,890 
1.395 

85 
6.165 

16 

949 

108 

1,245 

43 

67 
141 

109 

57 

15 

452 
73 

95 
2,421 

265 

887 

732 

38 

3,271 

5 

520 
48 

564 
13 

38 
69 

55 

28 

II 
230 

55 

70 
1.418 

188 

559 

453 

16 

2.033 

5 

741 

50 

886 

3 

34 

110 

Weapons;  carrying,  possessing, 

78 

Prostilution  and  commercialized 

27 

Sex  offenses  (except  forcible  rape 

13 

242 

47 

Offenses  against  family  and 

72 

1.303 

190 

575 

595 

51 

All  other  offenses  (except  traffic) 

2,774 

4 

Curfew  and  loitering  law 

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

^Violent  crimes  are  offenses  of  murder,  forcible  rape,  robbery,  and  aggravated  assauU. 
^Property  crimes  are  offenses  of  burglary,  larceny-theft,  motor  vehicle  theft,  and  arson. 
*Includes  arson. 


228 


Table  41.— Total  Arrests  of  Persons  under  15,  18.  21.  and  25  Years  of  Age,  1991 

110,148  agencies;   iWl  eslimated  populalion   189.961.000] 


Offense  charged 


lolal 
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  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  (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  


10,743,755 


18,654 

30,350 

139,182 

368,483 

328,790 

l,215..303 

161,628 

14,916 


556,669 
1,720,637 


2,277,306 


789,144 
77,066 
292,597 
10,602 
130,579 
252,469 
178,955 

81,536 
82,228 
781,2.50 
12.913 
72,527 
1,288,876 

453,807 

657.119 

569,314 

31,262 

2,480,902 

14,707 

73.125 

135,471 


614,063 


1,749.343 


3.244.997 


4.908.560 


5.7 


16.3 


302 

1,742 

9,979 

16,029 

44,320 

168.007 

20,076 

4,756 


2,626 

4,766 

35,632 

52,653 

109,965 

369,227 

70,659 

6,940 


6,722 

8,745 

61,981 

100,001 

168,084 

533.450 

100.181 

8,391 


10,192 

1  3,468 

86,098 

158,203 

2 1 3,484 

677,244 

120,607 

9,699 


1.6 

5.7 

7.2 

4.3 

13.5 

13.8 

12.4 

31.9 


14.1 
15.7 
25.6 
14.3 
33.4 
30.4 
43.7 
46,5 


28,052 
237,159 


95,677 
556,791 


177,449 
810.106 


267,961 
1,021,034 


5.0 
13.8 


17.2 
32.4 


265.211 


652,468 


987.555 


1.288.995 


28.7 


50.026 

1,221 

2,870 

158 

10,107 

53,7.30 

10,693 

148 
7,406 
8,582 
143 
996 
402 

9,320 
1,994 

32,346 
596 

74.706 
1,253 

21,859 

60,296 


122,624 

6,866 

10.943 

784 

35.220 

107,890 

37,575 

1,075 

14,417 

60.428 

912 

2,944 
13.437 

104,210 

16,372 

99,322 

2,257 

247,853 

3,150 

73,125 

135,471 


211,150 

19,272 

40,627 

2,505 

61,822 

144,351 
70,785 

7,875 
21,565 

174,608 
2,243 
9,185 

112.991 

311,161 

74,446 

187.133 

5,186 

586.947 

4,994 

73,125 

135,471 


335,600 
33,297 
93,629 
4,441 
82,201 
175,427 
102,070 

24,250 
31,052 

317,541 

3,550 

20,007 

329.755 

357,216 

169,357 

289.980 

8,276 

1,026,278 

7,042 

73,125 

135,471 


6.3 
1.6 
1.0 
1,5 
7.7 
21.3 
6.0 


9.0 
1.1 
II 
1.4 


2.1 

.3 

5.7 

1.9 

3.0 

8.5 

29.9 

44.5 


15.5 

8.9 

3.7 

7.4 

27.0 

42.7 

21.0 

1.3 
17.5 
7.7 
7.1 
4.1 
1.0 

23.0 

2.5 

17.4 

7.2 

10.0 

21.4 

100.0 

100.0 


30.2 


36.0 
28.8 
44.5 
27.1 
51.1 
43.9 
62.0 
56.3 


31.9 
47.1 


26.8 
25.0 
13.9 
23.6 
47.3 
57.2 
39.6 

9.7 
26.2 

22.3 
17.4 
12.7 


68.6 
11.3 
32.9 
16.6 
23.7 
34.0 
100.0 
100.0 


45,7 


54.6 
44.4 
61,9 
42,9 
64.9 
55.7 
74.6 
65.0 


48.1 
59.3 


56.6 


42.5 
43.2 
32.0 
41.9 
63.0 
69.5 
57.0 

29.7 
37.8 
40.6 
27.5 
27.6 
25.6 

78.7 
25,8 
50.9 
26.5 
41.4 
47.9 
100.0 
100.0 


'Violent  crimes  are  offenses  of  murder,  forcible  rape,  robbery,  and  aggravated  assault. 
•Property  crimes  are  offenses  of  burglary,  larceny-theft,  motor  vehicle  theft,  and  arson. 
'Includes  arson. 
*Less  than  one-tenth  of  I  percent. 


229 


Table  42.— Total  Arrests,  Distribution  by  Sex,  1991 

[10.148  agencies;   IWl  estimated  population   I89.96:,000] 


Offense  charged 


Number  of  persons  arrested 


Total 


Male 


Female 


Percent 
male 


Percent 
female 


Percent  distribution' 


Total 


Male 


Female 


TOTAL    

Murder  and  nonnegligent  manslaughter   

Forcible  rape 

Robbery   

Aggravated  assault  

Burglary   

Larceny-theft    

Motor  vehicle  theft  

Arson    

Violent  crime^  

Property  crime*   

Crime  Index  total'  

Other  assaults  

Forgery  and  counterfeiting  

Fraud    

Embezzlement    

Stolen  property;  buying,  receiving,  possessing    

Vandalism    

Weapons;  carrying,  possessing,  etc 

Prostitution  and  commercialized  vice    

Sex  offenses  {except  forcible  rape  and  prostitution) 

Drug  abuse  violations   

Gambling 

Offenses  against  family  and  children  

Driving  under  the  influence    

Liquor  laws   

Drunkenness    

Disorderly  conduct    

Vagrancy   

All  other  offenses  (except  traffic)  

Suspicion  

Curfew  and  loitering  law  violations   

Runaways  


10,743,755 


18,654 

30,350 

139,182 

368,483 

328,790 

1,215,303 

161,628 

14,916 


556,669 
1,720,637 


2,277,306 


789.144 
77,066 
292.597 
10.602 
130.579 
252.469 
178,955 

81,536 
82,228 
781.250 
12.913 
72,527 
1,288,876 

453,807 

657,119 

569,314 

31,262 

2,480,902 

14,707 

73.125 

135.471 


8,729,684 


2,014,071 


81.3 


18.7 


100.0 


16.733 
29.964 
127,280 
318,180 
299.54! 
825.976 
145.446 
12,965 


1,921 

386 

11,902 

50,303 

29,249 

389,327 

16,182 

1,951 


89.7 
98.7 
91.4 
86.3 
91.1 
68.0 
90.0 
86.9 


10.3 

1.3 

8.6 

13.7 

8.9 

32.0 

10.0 

13.1 


.2 

.3 

1.3 

3.4 

3.1 

11.3 

1,5 

.1 


492.157 
1.283.928 


64.512 
436.709 


88.4 
74.6 


11.6 

25.4 


5.2 
16.0 


1.776.085 


501.221 


78.0 


22.0 


21,2 


659.120 
50.116 
167.066 
6.474 
114.964 
224.934 
166.133 

27.786 
76,440 
652,168 
11,270 
59,406 
1,117,678 

366,496 

588,569 

455,189 

27,898 

2,057.464 

12.287 

53.511 

58.630 


130.024 
26.950 

125.531 

4.128 

15.615 

27.535 

12,822 

53,750 

5,788 

129,082 

1,643 

13,121 

171,198 

87,311 

68,550 

114,125 

3,364 

423,438 

2,420 

19,614 

76,841 


83.5 
65.0 
57.1 
61.1 
88.0 
89.1 
92.8 

34.1 
93.0 
83.5 
87.3 
81.9 
86.7 

80.8 
89,6 
80.0 
89.2 
82.9 
83.5 
73.2 
43.3 


16.5 

7.3 

35.0 

.7 

42.9 

2.7 

38.9 

.1 

12.0 

1.2 

10.9 

2.3 

7.2 

1.7 

65.9 

.8 

7.0 

.8 

16.5 

7.3 

12.7 

.1 

18.1 

.7 

13.3 

12.0 

19.2 

4.2 

10.4 

6.1 

20.0 

5.3 

10.8 

.3 

17.1 

23.1 

16.5 

.1 

26.8 

.7 

56.7 

1.3 

100.0 


.3 
1.5 

3.6 
3.4 
9.5 
1.7 
.1 


5.6 
14.7 


20.3 


7.6 

.6 

1.9 

1.3 
2.6 
1.9 

.3 
.9 
7.5 
.1 
.7 
12.8 

4.2 

6.7 

5.2 

.3 

23.6 

.1 

.6 

.7 


100.0 


.1 

2 

.6 
2.5 
1.5 
19.3 
.8 
.1 


3.2 
21.7 


24.9 


6.5 
1.3 
6.2 

.2 
.8 
1.4 
.6 

2.7 
.3 

6.4 
.1 
.7 

8.5 

4.3 
3.4 
5.7 

.2 
21.0 

.1 
1.0 
3.8 


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

-Less  than  one-tenth  of  1  percent. 

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

'Properly  crimes  are  offenses  of  burglary,  larceny-theft,  motor  vehicle  theft,  and  arson. 

'Includes  arson. 


230 


Table  43. — Total  Arrests,  Distribution  by  Race,  1991 

(10,075  agencies;  1991  estimated  population  186,621.000] 


OITense  charged 


Total  arrests 


Total 


White 


Black 


American 
Indian 


Alaskan 
Native 


Pacific 
Islander 


Percent  distribution' 


Total 


While 


Black 


American 
Indian 


Alaskan 
Native 


Pacific 
Islander 


TOTAL    

Murder  and  nonnegligent  manslaughter 

Forcible  rape    

Robbery  

Aggravated  assault  

Burglary  

Larceny-theft    

Motor  vehicle  theft    

Arson    

Violent  crime^    

Property  crime'   

Crime  Index  total*  

Other  assaults    

Forgery  and  counterfeiting  

Fraud    

Embezzlement    

Stolen  property;  buying,  receiving, 

possessing  

Vandalism    

Weapons;  carrying,  possessing,  etc 

Prostitution  and  commercialized  vice   . 
Sex  offenses  {except  forcible  rape  and 

prostitution)   

Drug  abuse  violations  

Gambling    

Offenses  against  family  and  children  .. 
Driving  under  the  influence   

Liquor  laws  

Drunkenness  

Disorderly  conduct    

Vagrancy   

All  other  offenses  (except  traflic)    

Suspicion    

Curfew  and  loitering  law  violations  ... 
Runaways  


10,516,399 


18,096 

29,767 

136.176 

364.250 

323.670 

1.190,037 

160,103 

14,738 


548,289 
1,688,548 


2,236,837 


772,016 
74,869 

291,528 
10,565 

129,609 
249,252 
173,490 

78,779 

80,838 

763,340 

12,464 

70,945 

1,270,713 

448,880 

625,127 

558,504 

30,755 

2,428,040 

10,184 

72,037 

127,627 


7,251.862 


3,049,299 


115,345 


99,893 


100.0 


69.0 


29.0 


7,861 

16.306 

51,217 

218,628 

222,817 

792,895 

93,728 

11,309 


9,924 

12,960 

83,146 

139,407 

94,688 

368,053 

62,918 

3,164 


143 

259 

600 

3,184 

2,844 

12.987 

1.266 

132 


168 

242 

1,213 

3,031 

3,321 

16,102 

2,191 

133 


100.0 
100.0 
100.0 
100.0 
100,0 
100.0 
100.0 
100.0 


43.4 
54.8 
37.6 
60.0 
68.8 
66.6 
58.5 
76.7 


54.8 
43.5 
61.1 
38.3 
29.3 
30.9 
39.3 
21.5 


294,012 
1,120,749 


245,437 
528,823 


4,186 
17,229 


4,654 
21,747 


100.0 
100.0 


53.6 
66.4 


44.8 
31.3 


1,414.761 


774.260 


21.415 


26,401 


100.0 


63.2 


34.6 


498.497 

48,535 

197,643 

7,202 

73,908 
189,474 
98,609 

47,517 

63,185 

443,596 

5,581 

47,304 

1,129,876 

391,991 

507,571 

365,765 

15,735 

1,542,890 

4.150 

55,389 

102,683 


257,121 

25.264 

91.2.30 

3,195 

54,011 
55,014 
72,137 

29,943 

15,985 

312,997 

5,843 

20,942 
115,724 

43,576 
102,307 
182,414 

14.341 

831.857 

5.964 

14.819 

20,355 


9,685 

418 

1,283 

74 

696 

2,461 

893 

455 

828 

2,639 

16 

763 

14,846 

10,610 

13,544 

7,185 

605 

24,968 

53 

542 

1,366 


6,713 

652 

1,372 

94 

994 
2,303 
1,851 

864 

840 

4,108 

1,024 

1,936 

10,267 

2,703 
1,705 
3,140 

74 
28,325 

17 
1,287 
3,223 


100.0 
100,0 
100,0 
100,0 

100.0 
100.0 
100.0 

100.0 

100.0 
100,0 
100.0 
100.0 
lOO.O 

1 00.0 
100.0 
100,0 
100,0 
100.0 
100.0 
100.0 
100.0 


64.6 
64.8 
67,8 
68.2 

57.0 
76.0 
56.8 

60.3 

78.2 
58.1 
44.8 
66.7 
88.9 

87,3 
81.2 
65.5 
51,2 
63,5 
40.8 
76,9 
80,5 


33.3 
33.7 
31.3 
30.2 

41.7 
22.1 
41.6 

38.0 

19.8 
41,0 
46.9 
29.5 
9.1 

9.7 
16.4 
32.7 
46.6 
34.3 
58.6 
20.6 
15.9 


1.1 


.9 
.4 
.9 
.9 
l.I 


1.0 


1.3 
.6 

,4 
,7 

.5 
I.O 

.5 


1.0 

.3 

.1 

I.I 

1.2 

2.4 
2.2 
1.3 
2.0 
1.0 
.5 
.8 
l.I 


.9 
.8 
.9 
.8 
1.0 
1.4 
1.4 
.9 


8 
1  1 


1.2 


.9 

1,1 

1.1 

1.0 

.5 

8.2 

2.7 

.8 

.6 
.3 
.6 

.2 
1.2 

.2 
1.8 
2.5 


See  footnotes  at  end  of  table. 


231 


Table  43. — Total  Arrests,  Distribution  by  Race,  1991 — Continued 


Offense  charged 


Arrests  under  18 


Total 


White 


American 
Indian 


Alaskan 
Native 


Pacific 
Islander 


Percent  distribution' 


Total 


White 


Black 


American 
Indian 


Alaskan 
Native 


Pacific 
Islander 


TOTAL    

Murder  and  nonnegligent  manslaughter 

Forcible  rape    

Robbery  

Aggravated  assault  

Burglary  

Larceny-theft    

Motor  vehicle  theft    

Arson    

Violent  crime^    

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  


1,709,319 


2.536 

4,701 

34,803 

51,913 

108,448 

362,851 

70,083 

6,895 


93,953 

548,277 


642,230 


119,608 
6,183 
10,917 

784 

34,987 
106,598 
36,480 

1,018 

14,186 

58,257 

816 

2,866 

13,301 

103,265 

15,522 

96,244 

2,240 

242,262 

1,891 

72,037 

127,627 


1,220.838 


444,341 


16,790 


27,350 


100.0 


71.4 


26.0 


1,037 

2,599 

13,127 

29,603 

82,891 

265,742 

41,183 

5,711 


1,453 
2,040 
21,023 
21.410 
22,570 
86,278 
26,929 
1,053 


14 

21 

153 

348 

1,266 

4,150 

687 

49 


32 

41 

500 

552 

1,721 

6,681 

1,284 


100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


40.9 
55.3 
37.7 
57.0 
76.4 
73.2 
58.8 


57.3 
43.4 
60.4 
41.2 
20.8 
23.8 
38.4 
15.3 


46,366 
395,527 


45,926 
136,830 


536 
6,152 


1,125 
9,768 


100.0 
100.0 


49.4 
72.1 


48.9 
25.0 


441.893 


182.756 


6,688 


10,893 


100.0 


68.1 


28.5 


74,899 

5.049 

6,302 

564 

20,425 
87,040 
22,612 

657 

10,278 

28,428 

164 

2,102 

12,413 

95,332 

13,865 

65,007 

1,730 

172,546 

1,460 

55,389 

102,683 


41,678 

1,007 

4,342 

197 

13,914 
17,497 
13,122 

335 

3,607 

29,172 

634 

649 

595 

4,968 

1,349 

29,939 

487 

62,527 

392 

14,819 

20,355 


1,044 
42 
75 
11 

237 
790 
181 

14 

105 

209 

5 

14 
198 

2,266 

259 

645 

8 

2,055 

36 

542 

1,366 


1,987 

85 

198 

12 

411 

1,271 

565 

12 

196 
448 

13 
101 

95 

699 

49 

653 

15 

5,134 

3 

1,287 

3,223 


100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 

100.0 

100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


62.6 

81.7 
57.7 
71.9 

58.4 
81.7 
62.0 

64.5 

72.5 
48.8 
20.1 
73.3 
93.3 

92.3 
89.3 
67.5 
77.2 
71.2 
77.2 
76.9 
80.5 


34.8 
16.3 
39.8 
25.1 

39.8 
16.4 
36.0 

32.9 

25.4 
50.1 
77.7 
22.6 
4.5 

4.8 

8.7 

31. 1 

21.7 
25.8 
20.7 
20.6 
15.9 


1.0 


.6 

.4 

.4 

.7 

1.2 

1.1 

1.0 

.7 


.6 
1.1 


1.0 


.9 

.7 
.7 
1.4 

.7 
.7 
.5 


.7 
.4 
.6 
.5 
1.5 

2.2 

1.7 
.7 
.4 
.8 

1.9 
.8 

1.1 


1.6 


1.3 
.9 
1.4 
I.I 
1.6 


1.2 


1.2 
1.8 


1.7 


1.7 
1.4 
1.8 
1.5 

1.2 
1.2 
1.5 

1.2 

1.4 

.8 

1.6 

3.5 

.7 

.7 

.3 

.7 

.7 

2.1 

.2 

1.8 

2.5 


See  footnotes  at  end  of  table. 


232 


Table  43. — Total  Arrests,  Distribution  by  Race,  1991 — Continued 


Offense  charged 


Arrests  18  and  over 


Total 


White 


Black 


American 
Indian 


Alaskan 
Native 


Pacific 
Islander 


Percent  distribution' 


Total 


White 


Black 


American 
Indian 


Alaskan 

Native 


Pacific 
Islander 


TOTAL    

Murder  and  nonnegligent  manslaughter 

Forcible  rape    

Robbery  

Aggravated  assault  

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  inftuence   

Liquor  laws  

Drunkenness  

Disorderly  conduct   

Vagrancy  

All  other  offenses  (except  traffic)    

Suspicion    

Curfew  and  loitering  law  violations  

Runawavs  


8,807,080 


6,031,024 


2,504,958 


98,555 


72,543 


100.0 


68.5 


29.6 


15,560 

25.066 

101,373 

312,337 

215,222 

827,186 

90.020 

7,843 


454,336 
1,140,271 


1,594,607 


652,408 

68.686 

280.611 

9,781 

94.622 
142.654 
137.010 

77,761 

66,652 

705,083 

11,648 

68,079 

1,257,412 

345,615 

609,605 

462,260 

28,515 

2,185,778 

8,293 


6.824 

13.707 

38,090 

189.025 

139.926 

527.153 

52,545 

5,598 


8.471 

10.920 

62.123 

117,997 

72.118 

281.775 

35.989 

2. Ill 


129 

238 

447 

2.836 

1.578 

8.837 

579 

83 


136 

201 

713 

2.479 

1.600 

9,421 

907 

51 


100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


43.9 
54.7 
37.6 
60.5 
65.0 
63.7 
58.4 
71.4 


54.4 
43.6 
61.3 
37.8 
33.5 
34.1 
40.0 
26.9 


247.646 

725,222 


199.511 
391,993 


3,650 
11,077 


3,529 
11,979 


100.0 
100.0 


54.5 
63.6 


43.9 
34.4 


972.868 


591.504 


14.727 


15,508 


100.0 


61.0 


37,1 


423.598 

43.486 

191,341 

6.638 

53.483 
102,434 
75,997 

46,860 

52,907 

415.168 

5.417 

45.202 

1,117,463 

296,659 

493,706 

300,758 

1 4,005 

1,370,344 

2,690 


215.443 

24,257 

86,888 

2,998 

40,097 
37,517 
59,015 

29.608 

12,378 

283,825 

5.209 

20.293 
115,129 

38,608 
100,958 
152,475 

13.854 

769.330 

5,572 


8,641 

376 

1,208 

63 

459 

1,671 

712 

441 

723 

2.430 

1 1 

749 

14.648 

8.344 

13.285 

6,540 

597 

22,913 

17 


4,726 

567 

1,174 


583 
1,032 
1,286 

852 

644 

3,660 

1,011 

1,835 

10,172 

2,004 
1,656 
2,487 

59 
23,191 

14 


100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 

100.0 

100.0 
100.0 
100.0 
100.0 
100,0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


64.9 
63.3 
68.2 
67.9 

56.5 
71,8 

55.5 

60.3 

79.4 
58.9 
46.5 
66.4 
88.9 

85.8 
81,0 
65.1 
49,1 
62.7 
32.4 


33.0 
35.3 
31.0 
30.7 

42.4 
26.3 
43,1 

38,1 

18.6 
40.3 
44.7 
29.8 
9,2 

11.2 
16.6 
33,0 
48,6 
35,2 
67.2 


.8 
,9 
.4 
,9 
.7 

I.I 
.6 

1.1 


.8 
1.0 


1.3 
.5 
.4 
.6 

,5 

1.2 

.5 


I.I 
.3 
.1 

1.1 

1.2 

2.4 
2.2 
1.4 
2.1 
1.0 
.2 


.7 
.8 
.7 
1.1 
1.0 
.7 


,8 
I.I 


1.0 


1.0 

.5 

8,7 

2.7 


.6 

.3 
.5 
2 
I.I 
.2 


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

^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. 


233 


Table  44.— City  Arrest  Trends,  1990-1991 

(6,184  agencies;  1991  estlmaled  population   122,505.000;  1990  population   120,904,000) 


Number  of  persons  arrested 


Offense  charged 


Total  all  ages 


1990 


1991 


Percent 
change 


Under  18  years  of  age 


1990 


1991 


Percent 
change 


18  years  of  age  and  over 


1990 


1991 


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  commercial  vice    

Sex  offenses  (except  forcible  rape  and 

prostitution) 

Drug  abuse  violations   

Gambling — ... 

Offenses  against  family  and  children  

Driving  under  the  influence    

Liquor  laws   

Drunkenness    

Disorderly  conduct    

Vagrancy   

All  other  offenses  (except  traffic)  

Suspicion  (not  included  in  total)    

Curfew  and  loitering  law  violations   

Runaways  


7,911,446 


13,624 
21,467 
115,941 
262,963 
232,434 
945,898 
128,386 
9,944 


413,995 
1.316,662 


1,730.657 


565.028 
49.619 

153.704 

7.480 

97,743 

189,636 

131,909 

74,855 


7,769,033 


14,081 
21.622 
118,060 
265,321 
232,257 
966,139 
124,893 
9,999 


419,084 
1,333,288 


1,752,372 


584,878 
52,469 

171,772 

7,125 

96.817 

191,758 

136,745 

73,357 


57,165 

56.269 

636,902 

582.412 

11,611 

10.261 

33,880 

36.511 

800.164 

736,730 

377.362 

332,471 

551.581 

506,205 

479.759 

452,390 

26.837 

28,352 

1.768.257 

1,789,667 

15.849 

13,254 

63.800 

66,597 

103.497 

103.875 

-1.8 


1,350,727 


1,390,598 


+3.0 


6,560,719 


6,378,435 


+3.4 
+.7 

+  1.8 
+.9 
-.1 

+2.1 

-2.7 
+.6 


2.117 

3.375 

28.972 

38,246 

76,321 

291,200 

56,758 

4,631 


2.216 

3,626 

31,722 

40,763 

78,473 

303.764 

56.386 

5.003 


+4.7 
+7.4 
+9.5 
+6.6 
+2.8 
+4.3 
-.7 
+8.0 


11,507 

18,092 

86,969 

224,717 

156,113 

654.698 

71.628 

5,313 


11,865 

17,996 

86,338 

224,558 

153,784 

662,375 

68,507 

4,996 


+  1.2 
+  1.3 


72.710 
428.910 


78,327 
443,626 


+7.7 
+3.4 


341.285 
887,752 


340,757 
889,662 


HI. 3 


501,620 


521,953 


1,229,037 


1,230,419 


+3.5 
+5.7 
+  11.8 
-4.7 
-.9 
+  1.1 
+  3,7 

-2.0 

-1.6 
-8.6 
-11.6 
+7.8 
-7.9 

-11.9 

-8.2 
-5.7 
+5.6 
+  1.2 
-16.4 
+4.4 
+.4 


90.935 

98,842 

4.873 

5,334 

7,535 

9,232 

661 

656 

26,494 

27,951 

77,908 

83,695 

26,407 

30,882 

1,032 

9,494 

51,477 

684 

2,046 

9,754 

87.069 

15.379 

81.893 

2.085 

186.084 

2.644 

63.800 

103.497 


914 

10.430 

49.298 

786 

2.257 

8,184 

76,076 

13,250 

83,385 

1,744 

195,257 

2,765 

66,597 

103,875 


+8.7 
+9.5 

+22.5 

-.8 

+5.5 

+7.4 

+  16.9 

-11.4 

+9.9 

-4.2 

+  14.9 

+  10.3 

-16.1 

-12.6 

-13.8 

+  1.8 

-16.4 

+4.9 

+4.6 

+4.4 

+.4 


474,093 
44,746 

146,169 

6,819 

71,249 

111,728 

105,502 

73,823 

47,671 

585,425 

16,927 

31,834 

790,410 

290,293 

536,202 

397,866 

24,752 

1,582,173 

13,205 


486,036 
47,135 

162,540 

6,469 

68,866 

108,063 

105,863 

72,443 

45,839 

533,114 

9,475 

34,254 
728,546 

256,395 

492,955 

369,005 

26,608 

1,594,410 

10,489 


-2.8 


+3.1 

-.5 

-.7 

-.1 

-1.5 

+1.2 

-4.4 

-6.0 


-.2 

+.2 


+2.5 
+5.3 
+  11.2 
-5.1 
-3.3 
-3.3 
+.3 

-1.9 

-3.8 

-8.9 

-13.3 

+7.6 
-7.8 

-11.7 

-8.1 

-7.3 

+7.5 

+.8 

-20.6 


'Violent  crimes  are  offenses  of  murder,  forcible  rape,  robbery,  and  aggravated  assault, 
■Properly  crimes  are  offenses  of  burglary,  larceny-theft,  motor  vehicle  theft,  and  arson. 
^Includes  arson. 


234 


Table  45.— City  Arrest  Trends,  Sex,  1990-1991 

[6,184  agencies:   1991  eslimaled  population   122,505,000;  1990  population   120.904,000] 


Offense  charged 


Males 


Total 


1990 


1991 


Percent 
change 


Under  18 


1990  1991 


Percent 

change 


Females 


Total 


1990 


1991 


Percent 
change 


Under  18 


1990 


1991 


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 
Dri\ing  under  the  influence  

Liquor  laws    

Drunkenness  

Disorderly  conduct  

Vagrancy    

AM  other  offenses  (except  traffic)    

Suspicion  (not  included  in  totals)  

Curfew  and  loitering  law  violations    . 
Runaways 


6.426,429 


6,284,731 


1,040,985 


1,071.111 


+2,9 


1,485,017 


1,484,302 


309,742 


319,487 


12,292 
21,251 
106,217 
227,361 
210,524 
637,787 
115,802 
8,553 


12,691 
21,373 
107,774 
228,475 
210,492 
650,377 
112,396 
8,693 


+  3.2 
+.6 

+  1.5 
+.5 

4 

+2.0 
-2.9 
+  1.6 


2,016 

3,321 

26,386 

32,467 

69,759 

207.007 

50,865 

4,165 


2,112 

3,573 

28,859 

34.589 

71,586 

214,663 

50,130 

4,562 


+4.8 
+7.6 
+9.4 
+6.5 
+2.6 
+3.7 
-1.4 
+9.5 


1 ,332 

216 

9.724 

35.602 

21,910 

308,111 

12,584 

1,391 


1,390 

249 

10,286 

36,846 

21,765 

315,762 

12,497 

1,306 


+4.4 

+  15.3 

+  5.8 

+3.5 

-.7 
+2.5 

-.7 
-6.1 


101 

54 

2,586 

5,779 

6,562 

84,193 

5,893 

466 


104 

53 
2,863 
6,174 
6,887 
89,101 
6,256 
441 


367,121 
972,666 


370,31.1 
981,958 


+.9 
+  1.0 


64, 1 90 
331,796 


69,133 
340,941 


+7.7 
+2.8 


46,874 
343,996 


48,771 
351,330 


+4.0 
+2.1 


8,520 
97,114 


9,194 
102,685 


1,339,787 


1,352,271 


395,986 


410.074 


+3.6 


390,870 


400,101 


105,634 


111,879 


473,944 

32.314 

90.622 

4.282 

85,944 
169.081 
121,931 

25,538 

52,419 

530,090 

10,101 

25,570 

693,633 

305.753 

496,028 

384,335 

23,805 

1,470,657 

13,497 

46,515 

44,080 


488,473 

34,089 

103,983 

4,261 

85,104 
170,713 
126,998 

24,943 

51,872 

486,052 

9,033 

27.404 
634,383 

268,401 
453,731 
361,628 

25,358 
1,483,224 
1 1,086 
48,856 
43,954 


+3.1 

+5.5 

+  14.7 

-.5 

-1.0 
+  1.0 

+4.2 

-2.3 

-1.0 

-8.3 

-10.6 

+  7.2 
-8.5 

-12.2 

-8.5 

-5.9 

+6.5 

+.9 

-17.9 

+  5.0 

-.3 


69,574 

3,250 

5,404 

411 

23,977 
71,312 
24.749 

468 

8,846 

45,891 

658 

1,288 

8,354 

62.844 

13,089 

65,333 

1,758 

147,198 

2,147 

46,515 

44,080 


75,173 
3.458 
6,816 

425 

25,126 
76,569 
28,943 

420 

9,663 

44.142 

764 

1,436 

7,049 

55,104 

11,231 

66,258 

1,519 

154,131 

2,194 

48,856 

43,954 


+8.0 

+6.4 

+26.1 

+  3.4 

+4,8 

+7,4 

+  16.9 

-10.3 

+9.2 

-3.8 

+  16.1 

+  11.5 

-15.6 

-12.3 

-14.2 

+  1.4 

-13.6 

+4.7 

+2.2 

+5.0 

-.3 


91,084 

17,305 

63,082 

3,198 

11,799 

20,555 

9,978 

49,317 

4,746 

106,812 

1,510 

8,310 

106,531 

71,609 
55,553 
95,424 

3,032 
297,600 

2,352 
17,285 
59,417 


96,405 

18,380 

67,789 

2,864 

11,713 

21,045 

9,747 

48,414 

4,397 

96,360 

1,228 

9,107 

102,347 

64.070 
52,474 
90,762 

2,994 
306,443 

2.168 
17,741 
59,921 


+5.8 

+6.2 

+  7.5 

-10.4 

-.7 
+2.4 
-2.3 

-1.8 

-7.4 
-9.8 
-18.7 
+9.6 
-3,9 

-10.5 
-5.5 
-4.9 
-1.3 
+3.0 
-7.8 
+2.6 
+.8 


21,361 

1,623 

2,131 

250 

2,517 
6,596 
1,658 

564 

648 

5,586 

26 

758 
1,400 

24,225 
2,290 
16,560 

327 
38,886 

497 
17,285 
59,417 


23,669 

1,876 

2,416 

231 

2,825 
7,126 
1,939 

494 

767 

5,156 

22 

821 
1,135 

20,972 

2,019 

17,127 

225 

41,126 

571 

17,741 

59,921 


+3,1 


+3,0 
-1,9 
+  10.7 
+6.8 
+5.0 
+5.8 
+6.2 
-5.4 


+  7.9 
+  5.7 


+5.9 


+  10.8 

+  15.6 

+  13.4 

-7.6 

+  12.2 

+8.0 

+  16.9 

-12.4 

+  18.4 
-7.7 

-15.4 
+8.3 

-18.9 

-13.4 
-11.8 

+  3.4 
-31.2 

+  5.8 
+  14.9 

+2.6 
+.8 


'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. 
*Less  than  one-tenth  of  1  percent. 


235 


Table  46.— City  Arrests.  Distribution  by  Age,  1991 

[7.088  agencies;  1991  population   131,595,000] 


Offense  charged 


Total 
all  ages 


Ages 

under 

15 


Ages 

under 

18 


Ages 

18  and 

over 


Age 


Under 
10 


10-12 


13-14 


15 


16 


19 


20 


TOTAL  

Percent  distribution'  

Murder  and  nonegligent  manslaughter 

Forcible  rape  

Robbery   

Aggravated  assault   

Burglary   

Larceny-theft  

Motor  vehicle  theft    

Arson  

Violent  crime'  

Percent  distribution'  

Property  cnme^  

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  


8,366.524 
100.0 


527,138 
6.3 


1,475,178 
17.6 


6,891,346 
82.4 


34,359 
.4 


131,661 
1.6 


361,118 
4.3 


273,039 
3.3 


326,658 
3.9 


348,343 

4.2 


387,803 
4.6 


396,882 

4.7 


394,039 

4.7 


14.879 

23.226 

125,389 

292,495 

248,952 

1,040,652 

131,318 

10,729 


273 

1,443 

9,359 

13,424 

34,499 

149,950 

16,976 

3,717 


2,320 

3,842 

32,998 

44,214 

83,343 

323,393 

58,863 

5,306 


12,559 

19,384 

92,391 

248,281 

165,609 

717,259 

72,455 

5,423 


5 

71 

218 

842 

2,677 

10,573 

218 

839 


26 
357 
1,811 
3,252 
9,322 
45,543 
2,052 
1,241 


242 

1,015 

7,330 

9,330 

22,500 

93,834 

14,706 

1,637 


446 

690 

6,573 

8,021 

15.600 

56,711 

14,021 

695 


686 

805 

8,288 

10,698 

16,975 

60,609 

15,033 

490 


915 

904 

8,778 

12,071 

16,269 

56,123 

12,833 

404 


1,214 

1,029 

8,618 

12,660 

15,990 

52,205 

9.849 

355 


1,158 

1,036 

7,652 

12,847 

13,273 

45,041 

7,618 

294 


455,989 

100.0 

1,431,651 

100.0 


24,499 

5.4 

205,142 

14.3 


83,374 

18.3 

470,905 

32.9 


372,615 
81.7 

960,746 
67.1 


1,136 


14,307 
1.0 


5,446 

1.2 

58,158 

4.1 


17,917 

3.9 

132,677 

9.3 


15,730 
3.4 

87,027 
6.1 


20,477 
4.S 

93.107 
6.5 


22,668 
5.0 

85.629 
6.0 


23,521 

5.2 

78,399 

5.5 


22,693 
5.0 

66,226 
4.6 


1,887,640 
100.0 


229,641 
12.2 


554,279 
29.4 


1,333,361 
70.6 


15,443 


63,604 
3.4 


150,594 
8.0 


102.757 
5.4 


113,584 
6.0 


108,297 

5,7 


101,920 
5.4 


88,919 

4.7 


624,690 

57,693 

181,894 

7,881 

105,727 
203,229 

147,447 

78,082 

60,955 

626,106 

11,183 

39,704 

807,765 

359,477 

536,313 

503,147 

28,895 

1,908,170 

13,505 

70,023 

106.998 


43,236 

1,068 

2,596 

151 

8,830 

44,760 

9,321 

133 

5,747 

7,607 

137 

854 

262 

7,584 
1,754 

29,010 
515 

62,883 
1,149 

20.868 

49,032 


104,041 

5,722 

9,579 

692 

29,994 
87,701 
32,871 

990 


520,649 

51,971 

172,315 

7.189 

75,733 
115,528 
114,576 

77,092 


10,914 

50,041 

52,953 

573,153 

873 

10,310 

2,439 

37,265 

9,085 

798,680 

81,216 

278,261 

13,993 

522,320 

89,252 

413,895 

1,854 

27,041 

206,862 

701,308 

2,847 

10.658 

70,023 

106,998 

2,728 
58 
73 
13 

268 

5,721 

343 

5 

565 

119 

4 

131 

89 

143 

87 

1,738 

17 

4,737 

103 

491 

1,483 


12,048 

277 

441 

47 

1,598 

14,460 

1,884 


1,608 

759 

14 

172 

29 

575 

148 

7,057 

86 

14,085 

232 

3,299 

9,214 


28,460 

733 

2,082 

91 

6,964 

24,579 

7,094 

104 

3,574 

6,729 

119 

551 

144 

6,866 

1,519 

20,215 

412 

44,061 

814 

17,078 

38,335 


18,768 

899 

2,482 

75 

5,958 
14,476 
6,210 

117 

1,829 

8,984 

169 

541 

401 

11,784 
2,122 
16.410 

369 
34,873 

561 
16,140 
27,114 


20,466 

1,565 

1,819 

188 

7,251 
15,151 
8,103 

253 

1,759 

15,116 

205 

525 
2,255 

23,826 

3,544 

20,311 

494 
48,467 

605 
19,159 
22,012 


21,571 

2,190 

2.682 

278 

7,955 
13,314 

9,237 

487 

1,579 

21,246 

362 

519 

6,167 

38,022 

6,573 

23,521 

476 

60,639 

532 

13,856 

8,840 


21,990 

2,865 

5,039 

431 

8,430 
10,682 
10,271 

1,396 

1,717 

29,245 

436 

1,230 
14,766 

56,166 
13,057 
26,055 

959 
80,571 

577 


23,522 

3,119 

6,914 

483 

7,035 
9,409 
9,356 

2,193 

1,702 

31,016 

461 

1,219 
21,533 

56,849 
15,309 
26,043 

851 
90,395 

554 


1,078 

983 

7,129 

12,731 

11,190 

39,326 

6.095 

290 


21,921 
4.8 

56,901 
4.0 


78,822 
4.2 


25,268 

3,395 

8,425 

471 

5,863 
8,419 
8,443 

2,929 

1,756 

31,840 

352 

1,444 

27,442 

49,789 
17,112 
26,438 

748 
94,517 

566 


See  footnotes  at  end  of  table. 


236 


Table  46. — City  Arrests,  Distribution  by  Age,  1991 — 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  dislribution' 


Murder  and  nonnegtigenl  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  


363,232 
4.3 


899 

987 

6.324 

12.740 

9.780 

34.872 

5.094 

252 


20,950 
4.6 

49,998 
3.5 


70.948 
3.8 


26.446 

3.020 

8.451 

465 

4.960 
7,602 
7.991 

3.743 

1.908 

30.821 

352 

1.643 
36.783 

13,898 
20,722 
27,953 

750 
94,270 

506 


321,984 
3.8 


303,605 
3.6 


293,590 

3.5 


1,405.060 
16.8 


1,175,491 
14.0 


789,840 
9.4 


474,171 

5.7 


247,641 
3.0 


141,268 
1.7 


83,763 
1.0 


53,170 
.6 


776 

881 

5.409 

11.542 

8.423 

30.467 

4.085 

240 


607 

865 

5.034 

11,266 

7.751 

28,234 

3,615 

201 


527 

888 

4,742 

10.964 

7,586 

27,043 

3,351 

207 


2,229 

4,280 

20.992 

53.183 

35.163 

134,439 

13.647 

1.055 


1.618 

3.472 

14,077 

43,834 

26,967 

118.713 

9.465 

918 


1.015 

2,229 

7,156 

28,743 

16,332 

84,481 

5,227 

634 


610 

1,273 

3,148 

17,073 

7.667 

51.024 

2.497 

415 


291 

608 

1.170 

9.110 

2.935 

25,945 

1,063 

210 


225 

381 

496 

5.031 

1,300 

15.517 

439 

157 


108 

193 

214 

2.815 

654 

10.357 

209 

89 


91 

133 

98 

1.777 

286 

7,691 

92 

41 


18,608 
4.1 

43,215 
3.0 


17.772 
3.9 

39.801 
2.8 


17.121 
3.8 

38.187 
2.7 


80.684 

17.7 

184.304 

12.9 


63.001 

13.8 

156.063 

10.9 


39.143 

8,6 

106.674 

7.5 


22,104 
4.8 

61,603 
4,3 


11.179 
2,5 

30.153 
2.1 


6.133 

1.3 

17,413 

1,2 


3.330 

,7 

11.309 


2,099 
.5 
8.110 
.6 


61.823 
3,3 


57.573 
3,0 


55.308 
2.9 


264.988 
14,0 


!  19.064 
11.6 


145,817 

7,7 


83.707 
4.4 


41.332 
2,2 


23.546 
1,2 


14.639 


10.209 

,5 


24.561 

2.547 

8.306 

383 

4.129 
6,381 
6.711 

3.969 

1.767 

28,478 

278 

1,558 
34,379 

9,242 
18.869 
23,158 

677 
84,318 

450 


24.010 

2.409 

8.279 

344 

3.746 
5.741 
5.903 

4.079 

1.706 

27,246 

265 

1,529 
33,273 

7,321 
18.178 
20.983 

658 
79.904 

458 


24,048 

2.407 

8.190 

305 

3.296 

5.287 
5.241 

4,025 

1.841 

26.792 

287 

1,563 
33,235 

6,226 
17.836 
19.791 

673 
76.794 

445 


119.189 
11,154 

37,720 
1.495 

14.252 
23.732 
21,387 

21,632 

9.782 

132.002 

1.326 

8.157 

170,075 

23.721 
95.900 
84,735 

4.327 
357,195 

2.291 


97.469 
9.119 

31.606 
1.071 

10.248 
17.450 
15.163 

16.708 

9.126 

108.339 

1.357 

7,485 

149.884 

18.660 
96.236 
64,888 

5,584 
294.059 

1.975 


61,093 

6.048 

21,877 

718 

6,825 
10.023 

9,757 

8,765 

6.604 

67.517 

1.212 

5.465 

104.084 

13.173 

75.711 

40.988 

4.884 

197.839 

1.440 


34.781 

3.220 

13.592 

444 

3.544 
5.304 
6.126 

3.928 

4.470 

34,815 

1.052 

3.059 

69,901 

8,996 

51,157 

23.937 

2.886 

118.451 

801 


17.443 

1.386 

6.725 

220 

1.635 
2,563 
3.448 

1.738 

2.708 

14.022 

847 

1,374 
41.855 

5.475 
31,393 
12.298 

1.761 

59.116 

302 


9.203 
685 

3.250 
207 


1.310 
1,948 

849 

1.771 

6.051 

698 

669 

25.357 

3,442 

20,569 

7,125 

1.108 

32.442 

154 


5,051 
296 

1.772 
91 

415 

695 

1.173 

483 

1.176 

2,628 

528 

374 

15.579 

2,457 
13.594 
3,943 
583 
18.225 
61 


3.039 
141 

852 


241 
399 
738 

283 


1.235 

382 

230 

10.479 

1.530 

8.415 

2.575 

328 

11.143 

37 


59,807 

.7 


113 
146 
132 
1.965 
312 
11.904 
109 
65 


2.356 

.5 

12.. 190 

,9 


14.746 


3.536 

160 

1.317 

33 

230 
531 
920 

372 

1,121 

1,106 

477 

266 

10.055 

1.316 

8.262 

2.985 

264 

12.069 

41 


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

^Violent  crimes  are  offenses  of  murder,  forcible  rape,  robbery,  and  aggravated  assault, 
'Property  crimes  are  offenses  of  burglary,  larceny-lheft.  motor  vehicle  theft,  and  arson. 
*Includes  arson. 


237 


Table  47.— City  Arrests  of  Persons  under  IS,  18,  21,  and  25  Years  of  Age,  1991 

(7,088  agencies;  1991  estimaled  population  131,595,000] 


Total  all 
ages 

Number  of  persons  arrested 

Percent  of  total  all  ages 

Offense  charged 

Under  15 

Under  18 

Under  21 

Under  25 

Under 
15 

Under 
18 

Under 
21 

Under 

25 

TOTAL                

8,366,524 

527,138 

1,475,178 

2,653,902 

3,936,31.3 

6,3 

17.6 

31.7 

47.0 

14,879 

23,226 

125,389 

292,495 

248,952 

1,040,652 

131,318 

10,729 

273 

1 ,443 

9,359 

13,424 

34.499 

149,950 

16.976 

3.7 1 7 

2.320 

3,842 

32,998 

44,214 

83,343 

323,393 

58,863 

5,306 

5,770 

6,890 

56,397 

82.452 

123.796 

459,965 

82,425 

6,245 

8,579 

10,511 

77,906 

128.964 

157,336 

580,581 

98,570 

7,145 

1.8 

6.2 

7.5 

4.6 

13.9 

14.4 

12.9 

34.6 

15.6 
16.5 
26.3 
15.1 
33.5 
31.1 
44.8 
49.5 

38.8 
29.7 
45.0 
28.2 
49.7 
44.2 
62.8 
58.2 

57.7 

45.3 

62.1 

44.1 

63.2 

55.8 

75.1 

66.6 

455,989 
1,431,651 

24,499 
205,142 

83,374 
470,905 

151,509 
672,431 

225,960 
843,632 

5.4 
14.3 

18.3 
32.9 

33.2 
47.0 

49.6 

58.9 

1,887,640 

229.641 

554,279 

823,940 

1,069.592 

12.2 

29.4 

43.6 

56.7 

624,690 
57,693 
181,894 
7,881 
105,727 
203,229 
147,447 

78,082 
60,955 

626,106 
11,183 
39,704 

807,765 

359,477 

536,313 

503,147 

28,895 

1,908,170 

13,505 

70,023 

106,998 

43,2.36 

1,068 

2,596 

151 

8,830 

44,760 
9,321 

133 

5,747 

7,607 

137 

854 

262 

7,584 
1,754 

29,010 
515 

62,883 
1,149 

20,868 

49,032 

104,041 

5,722 

9,579 

692 

29,994 

87,701 

32,871 

990 

10,914 

52,953 

873 

2,439 

9,085 

81,216 

1 3,993 

89,252 

1,854 

206,862 

2,847 

70,023 

106,998 

174.821 

15,101 

29,957 

2.077 

51.322 

116,211 
60,941 

7,508 

16,089 

145,054 

2,122 

6.3.32 

72.826 

244,020 

59,471 

167,788 

4.412 

472,345 

4,544 

70,023 

106,998 

273,886 

25,484 

63,183 

3,574 

67,453 

141,222 
86,787 

23,324 
23,311 

258,391 
3,304 
12,625 

210,496 

280,707 

135,076 

259,673 

7,170 

807,631 

6,403 

70,023 

106,998 

6,9 
1.9 
1.4 
1.9 
8.4 
22.0 
6.3 

T 

9.4 
1.2 
1.2 

2  t 

A 

2.1 

.3 

5.8 

1.8 

3.3 

8.5 

29.8 

45.8 

16.7 

9.9 

5.3 

8.8 

28.4 

43.2 

22.3 

1.3 
17.9 
8.5 
7.8 
6.1 
1.1 

22.6 

2.6 

17.7 

6.4 

10.8 

21.1 

100.0 

100.0 

28.0 
26.2 
16.5 
26.4 
48.5 
57.2 
41.3 

9.6 
26.4 
23.2 
19.0 
15.9 

9.0 

67.9 
11.1 
33.3 
15.3 
24.8 
33.6 
100.0 
100.0 

43.8 

44.2 

34.7 

45.3 

63.8 

69.5 

58.9 

29.9 

Sex  offenses  (except  forcible  rape  and  prostitution)    

38.2 
41.3 

29.5 

31.8 

26.1 

78.1 

25.2 

51.6 

24.8 

42.3 

47.4 

100.0 

100.0 

'Violent  crimes  are  offenses  of  murder,  forcible  rape.  robber>'.  and  aggravated  assault. 
^Property  crimes  are  offenses  of  burglary,  larceny-theft,  motor  vehicle  theft,  and  arson. 
Mncludes  arson. 
*Less  than  one-tenth  of  1  percent. 


238 


Table  48.— City  Arrests,  Distribution  by  Sex,  1991 

[7.088  agencies;   1991  estimated  population  131.595.OOOJ 


Offense  charged 


Number  of  persons  arrested 


Total 


Male 


Female 


Percent 
male 


Percent 
female 


Percent  distribution' 


Total 


Female 


TOTAL    

Murder  and  nonnegligent  manslaughter   

Forcible  rape 

Robbery   

Aggravated  assault  

Burglary   

Larceny-theft    

Motor  vehicle  thef^  

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  


8,366,524 


14.879 

23.226 

125.389 

292.495 

248.952 

1.040.652 

131.318 

10.729 


455.989 
1,431,651 


1.887,640 


624,690 
57,693 
181,894 
7,881 
105,727 
203,229 
147,447 

78,082 
60,955 

626,106 
11,183 
39,704 

807:765 

359,477 

536,313 

503,147 

28,895 

1,908,170 

1 3.505 

70.023 

106.998 


6.769,163 


1,597,361 


19.1 


100.0 


13.397 
22.958 
114.504 
251.174 
225.832 
700.959 
118.155 
9.306 


1.482 

268 

10.885 

41.321 

23.120 

339.693 

13.163 

1.423 


90.0 
98.8 
91.3 
85.9 
90.7 
67.4 
90.0 
86.7 


10.0 

1.2 
8.7 
14,1 
9.3 
32.6 
10.0 
13.3 


.3 
1.5 
3.5 
3.0 
12,4 
1.6 
,1 


402.033 
1.054.252 


53,956 
377.399 


73.6 


11,8 
26,4 


5,5 
17,1 


1.456.285 


431.355 


77.1 


22,9 


22.6 


521,774 
37.624 

110.258 

4,736 

92,962 

180,784 

136.781 

26.376 
56.054 

523.036 

9.871 

29,846 

695,446 

290,987 

480,519 

401.295 

25.837 

1.580.705 

11.294 

51.284 

45.409 


102,916 
20,069 
71,636 
3,145 
12,765 
22,445 
10,666 

51,706 
4.901 

103.070 
1,312 
9,858 

112,319 

68,490 

55,794 

101,852 

3,058 

327,465 

2,211 

18,739 

61,589 


83.5 
65,2 
60.6 
60.1 
87,9 
89,0 
92,8 

33,8 
92.0 
83,5 
88,3 
75.2 
86.1 

80,9 
89,6 
79,8 
89,4 
82.8 
83,6 
73,2 
42,4 


16,5 
34,8 
39.4 
39,9 
12,1 
11,0 
7,2 

66,2 
8,0 
16,5 
11,7 
24,8 
13.9 

19.1 
10,4 
20,2 
10,6 
17,2 
16,4 
26,8 
57,6 


7,5 
,7 
2,2 
,1 
1.3 
2.4 
1.8 

.9 

.7 

7,5 

.1 

.5 

9.7 

4,3 

6.4 

6.0 

,3 


1.3 


100.0 


.2 

.3 

1.7 

3,7 

3,3 

10,4 

1,7 

,1 


5,9 
15,6 


21,5 


7,7 
.6 
1,6 
,1 
1.4 
2,7 
2.0 


7.7 

.1 

,4 

10.3 

4.3 

7,1 

5,9 

,4 

23.4 


100.0 


.7 

2.6 

1,4 

21,3 


3,4 
23.6 


27.0 


6.4 
1.3 
4.5 
.2 
.8 
1.4 
.7 

3.2 
.3 

6.5 
.1 
.6 

7.0 

4.3 
3.5 
6.4 

.2 
20.5 

.1 
1.2 
3.9 


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

^Less  than  one-tenth  of  I  percenl, 

'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. 


239 


Table  49.— Citj  Arrests,  Distribution  b)  Race,  1991 

[7.038  agencies;  1991  estimated  population  128.639.000) 


Offense  charged 


Total  arrests 


Total 


White 


Black 


Amencan 

Indian 

or 

Alaskan 
Native 


Pacific 
Islander 


Percent  distribution' 


Total 


White 


Black 


Amencan 
Indian 


Alaskan 
Native 


Asian 


Pacific 
Islander 


TOTAL    

Murder  and  nonnegligent  manslaughter 

Forcible  rape    

Robber>'  

Aggravated  assault  

Burglarv   

Larceny-theft    

Motor  vehicle  theft    

Arson    

Violent  crime^    

Property  crime'   

Crime  Index  total*  

Other  assaults    

Forgery  and  counterfeiting  

Fraud    

Embezzlement    

Stolen  properly;  buying,  receiving, 

possessing  

Vandalism    

Weapons;  carrying,  possessing,  etc 

Prostitution  and  commercialized  vice   . 
Sex  offenses  (except  forcible  rape  and 

prostitution)   

Drug  abuse  violations  

Gambling   

Offenses  against  family  and  children  . . 
Driving  under  the  influence   

Liquor  laws  

Drunkenness  

Disorderly  conduct   

Vagrancy  

All  other  offenses  (except  traffic)    

Suspicion    

Curfevv-  and  loitering  law  violations  . . . 
Runaways   


8,150,431 


14.336 

22,697 

122,464 

288,583 

244,358 

1.016.242 

129.871 

10.580 


448,080 
1,401,051 


1,849,131 


608,027 

55,645 

181,110 

7,850 

104.969 
200.192 
142,123 

75.339 

59,657 

608,799 

10,747 

38,571 

791,172 

354.830 

504.818 

492,824 

28.410 

1.858,958 

9.011 

68.986 

99.262 


5,356,450 


2,622,481 


87,978 


83,522 


100.0 


65.7 


32.2 


5.159 

11.164 

44.356 

161.594 

158.289 

665.754 

71.685 

7.702 


8,944 

11,198 

76,505 

122.347 

81.534 

324,594 

55,396 

2,701 


105 

142 

502 

2,009 

1,822 

11,722 

876 

76 


128 

193 

1,101 

2,633 

2.713 

14.172 

1,914 

101 


100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


36.0 
49.2 
36.2 
56.0 
64.8 
65.5 
55.2 
72.8 


62.4 
49.3 
62.5 
42.4 
33.4 
31.9 
42.7 
25.5 


222.273 
903.430 


218.994 

464,225 


2,758 
14,496 


4,055 
18,900 


100.0 
100.0 


49.6 
64.5 


48.9 
33.1 


1,125.703 


683.219 


17,254 


22.955 


100.0 


60.9 


36,9 


373,543 

34,358 

113,342 

5.153 

56.104 

146,857 

75,703 

44,854 

44,480 

328,704 

4,414 

25,231 
690,250 

305,827 

400,340 

311,762 

13,977 

1,121,655 

3.232 

53,081 

77,880 


221.796 

20,449 

65,972 

2,574 

47,522 
49,469 
64,140 

29,248 

13,880 

274,912 

5,435 

11,010 

84,093 

37,940 
91,893 

172.840 
13.769 

694.411 
5,745 
14,484 
17,680 


7,298 
301 
693 

52 

478 

1,919 

666 

434 

579 

1,831 

14 

530 
9,439 

8,996 

11,187 

5,465 

597 

18,688 

20 

505 

1,032 


5.390 

537 

1.103 

71 

865 
1.947 
1,614 

803 

718 
3,352 

884 
1,800 
7,390 

2,067 

1,398 

2,757 

67 

24,204 

14 

916 

2,670 


100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 

100.0 

100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


61.4 
61.7 
62.6 
65.6 

53.4 
73.4 
53.3 

59.5 

74.6 
54.0 
41.1 
65.4 
87.2 

86.2 
79.3 
63.3 
49.2 
60.3 
35.9 
76.9 
78.5 


36.5 
36.7 
36.4 
32.8 

45.3 

24.7 
45.1 

38.8 

23.3 

45.2 
50.6 
28.5 
10.6 

10.7 
18.2 
35.1 
48.5 
37.4 
63.8 
21.0 
17.8 


1.1 


.7 
.6 

.4 
.7 
.7 
1.2 
.7 
.7 


.6 

1.0 


1.2 

.5 
.4 
.7 

.5 
I.O 

.5 


1.0 

.3 
.1 

1.4 
1.2 

2.5 
2.2 
l.I 
2,1 
1.0 
.2 
.7 
1.0 


.9 
.9 
.9 
.9 
l.I 
1.4 
1.5 
1.0 


.9 

1.3 


1.2 


.9 

1.0 

.6 

.9 


1.0 
l.I 

l.I 

1.2 

.6 

8.2 

4.7 

.9 

.6 

.3 
.6 
.2 
1.3 
.2 
1.3 
2,7 


See  footnotes  at  end  of  table. 


240 


Table  49. — Cit>  Arrests,  Distribution  by  Race,  1991 — Continued 


Offense  charged 


Arrests  under  18 


Total 


White 


Black 


American 
Indian 


Alaskan 
Naii\c 


Pacific 
Islander 


Percent  distribution' 


Total 


White 


Black 


American 
Indian 


Alaskan 
Native 


Pacific 
Islander 


TOTAL 


Murder  and  nonnegligent  manslaughter 

Forcible  rape    

Robber.   

Aggravated  assault  

Burglarv   

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  tralTic)    . . 

Suspicion    

Curfew  and  loitering  law  violations 
Runaways  


1.436,467 


2,230 

3,780 

32.174 

43.504 

81,947 

317,163 

58,315 

5.265 


81.688 
462,690 


544,378 


101,089 

5,041 

9,554 

692 

29.803 
86.489 
31,797 

933 

10,702 

50,808 

779 

2,374 

8,972 

80,353 
13,160 
86,335 

1,839 
201,530 

1,591 
68,986 
99,262 


997,767 


402,000 


13,526 


23,174 


100.0 


69.5 


28.0 


830 

1.910 

11.938 

23.661 

60.199 

229,854 

32,618 

4,273 


1,362 
1,821 
19,630 
19,119 
19,544 
77.682 
24,085 
899 


10 

12 

140 

241 

829 

3,791 

490 

35 


37 

466 

483 

1,375 

5,836 

1,122 

58 


100,0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
1 00.0 


37.2 
50.5 
37.1 
54.4 
73.5 
72.5 
55.9 
81.2 


61.1 
48.2 
61.0 
43.9 
23.8 
24.5 
41.3 
17,1 


38.339 
326,944 


41.932 
122.210 


403 
5.145 


1.014 
8.391 


100.0 
100.0 


46.9 

70,7 


51.3 
26,4 


365,283 


164.142 


5.548 


9,405 


100.0 


67.1 


30,2 


61,249 

4.076 

5,200 

497 

16,631 
69,093 
19,146 

584 

7,268 

23.405 

150 

1.669 

8,289 

73,474 
11,680 
57,119 

1,396 
139,388 

1.209 
53,081 
77.880 


37,416 

859 

4,126 

176 

12,623 
15,736 
12,008 

324 

3,190 

26,908 

612 

603 

478 

4,544 

1,218 

28.105 

424 

55.973 

371 

14.484 

17.680 


798 
32 
54 
11 

190 
596 
151 


1.626 

74 

174 

8 

359 

1,064 

492 

11 


72 

172 

171 

324 

5 

12 

12 

90 

141 

64 

1,838 

497 

221 

41 

517 

594 

7 

12 

1,603 

4.566 

8 

3 

505 

916 

1,032 

2.670 

100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 

100  0 

100,0 
100.0 
100.0 
100.0 
100,0 

100.0 
100.0 
100.0 
100,0 
100,0 
100,0 
100.0 
100,0 


60.6 
80,9 
54,4 
71.8 

55.8 
79,9 
60,2 

62.6 

67,9 
46,1 
19,3 
70,3 
92,4 

91,4 
88.8 
66.2 

75.9 
69.2 
76.0 
76,9 
78,5 


37,0 
17.0 

43,2 
25,4 

42.4 
18.2 
37.8 

34.7 

29.8 
53.0 
78,6 
25,4 
5,3 

5,7 
9,3 
32.6 
23.1 
27.8 
23.3 
21.0 
17,8 


,4 
.3 
.4 
.6 
1.0 
1.2 
.8 
,7 


,5 
1.1 


1,0 


.6 
.6 
1.6 

.6 

.7 
.5 

1,5 

.7 
.3 
.6 
,5 
1.6 

2.3 
1.7 
.6 
,4 
,8 
.5 
.7 
1,0 


1,3 
1,0 
1.4 
I.I 
1.7 
1.8 
1.9 
I.I 


1.2 
1.8 


1,7 


1,6 

1.5 
1.8 
1.2 

1.2 
1.2 
1.5 

1.2 

1.6 
.6 

1.5 
3.8 

.7 

.6 
.3 

.7 
.7 
2.3 
.2 
1.3 
2,7 


See  footnotes  at  end  of  table. 


241 


Table  49.— City  Arrests,  Distribution  by  Race,  1991— Continued 


Offense  charged 


Arrests  18  and  over 


Total 


White 


Black 


American 
Indian 


Alaskan 
Native 


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;  canning,  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  


6,713,964 


12.106 

18.917 

90,290 

245,079 

162,411 

699,079 

71,556 

5.315 


366,392 
938,361 


1.304.753 


506.938 

50.604 

171.556 

7,158 

75.166 
113.703 
110.326 

74.406 

48.955 

557.991 

9.968 

36.197 
782,200 

274,477 

491,658 

406,489 

26,571 

1,657.428 

7,420 


4,358,683 


2,220.481 


74,452 


60.348 


100.0 


64.9 


33.1 


4.329 

9.254 

32.418 

137,933 

98.090 

435.900 

39,067 

3.429 


7.582 

9,377 

56,875 

103,228 

61,990 

246,912 

31.311 

1.802 


95 

130 

362 

1,768 

993 

7,931 

386 

41 


100 

156 

635 

2,150 

1,338 

8,336 

792 

43 


lOO.O 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


35.8 
48.9 
35.9 
56.3 
60.4 
62.4 
54.6 
64.5 


62.6 
49.6 
63.0 
42.1 
38.2 
35.3 
43.8 
33.9 


183,934 
576,486 


177,062 
342,015 


2,355 
9,351 


3,041 
10,509 


100.0 
100.0 


50.2 
61.4 


48.3 
36.4 


760.420 


519.077 


11,706 


13,550 


100.0 


58.3 


39.8 


312.294 

30.282 

108,142 

4,656 

39,473 
77.764 
56.557 

44,270 

37,212 

305,299 

4,264 

23,562 
681,961 

232,353 
388,660 
254.643 
12,581 
982,267 
2,023 


184,380 

19,590 

61,846 

2,398 

34.899 

33.733 
52.132 

28.924 

10.690 

248,004 

4,823 

10,407 

83.615 

33,396 
90,675 

144,735 
13,345 

638,438 
5,374 


6.500 

269 

639 

41 

288 

1.323 

515 

420 

507 

1.660 

9 

518 
9,298 

7,158 

10,966 

4,948 

590 

17.085 

12 


3.764 

463 

929 

63 

506 
883 

1,122 

792 

546 
3,028 

872 
1.710 
7,326 

1,570 

1,357 

2,163 

55 

19,638 

II 


100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
1 00.0 

100.0 

100.0 
1 00.0 
1 00.0 
100.0 
1 00.0 

1 00.0 
lOO.O 
1 00.0 
1 00.0 
100.0 
1 00.0 


61.6 
59.8 
63.0 
65.0 

52.5 
68,4 
51.3 

59.5 

76.0 

54.7 
42,8 
65.1 
87.2 

84.7 
79.1 
62.6 
47.3 
59.3 
27.3 


36.4 
38.7 
36.1 
33.5 

46.4 
29,7 
47.3 

38.9 

21.8 
44.4 
48.4 
28.8 
10.7 

12.2 
18.4 
35.6 
50.2 
38.5 
72.4 


.6 
1.0 


1.3 
.5 
.4 
.6 

.4 
1.2 
.5 


1.0 
.3 
.1 
1.4 
1.2 

2.6 
2.2 
1.2 
2.2 
1.0 
.2 


I.O 


.7 
.9 
.5 
.9 


1.0 
I.I 

I.l 

.5 
8.7 
4.7 

.9 

.6 
.3 
.5 
.2 
1.2 
.1 


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

^Violent  crimes  are  offenses  of  murder,  forcible  rape,  robbery,  and  aggravated  assault, 
'Property  crimes  are  offenses  of  burglary,  larceny-theft,  motor  vehicle  theft,  and  arson, 
^Includes  arson. 


242 


Table  50.— Suburban  Count)  Arrest  Trends.  1990-1991 

[738  agencies;  1991  eslimated  population  31.484.000;  1990  population  31,141,000] 


Offense  charged 


Number  of  persons  arrested 


Total  all  ages 


1990 


1991 


Percent 
change 


Under  1 8  years  of  age 


1990 


1991 


Percent 
change 


18  years  of  age  and  over 


1990 


1991 


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 


1,377,047 


2.155 

4.058 

9.294 

44,931 

41.155 

112.183 

20,621 

2,195 


60,438 
176,154 


236,592 


91,279 
9.586 
42,752 
1,742 
15,081 
27,115 
19,813 

4.288 

11,869 

104,326 

1,557 

18,281 

305,438 

53,191 

66,851 

31,971 

1,508 

315.095 

294 

1,529 

17,183 


1,350.684 


166,598 


175.337 


+5.2 


1.210.449 


1.175.347 


2,064 

4,03 1 

10,393 

45,280 

43,209 

113.819 

20,234 

2.475 


-4.2 

-.7 

+  11.8 

+.8 

+5.0 

+  1.5 

-1.9 

+  12.8 


198 

605 

1,798 

5,424 

1 3,966 

30.618 

8,038 

956 


196 

577 

2,197 

5.999 

15,139 

32,609 

8,098 

1.164 


-1.0 
-4.6 

+22.2 

+  10.6 

+8.4 

+6.5 

+.7 

+21.8 


1,957 

3.453 

7.496 

39.507 

27,189 

81,565 

12,583 

1.239 


61,768 

179,737 


+2.2 
+2.0 


8.025 
53,578 


8,969 
57,010 


+  11.8 

+6.4 


52,413 
122,576 


241,505 


+2.1 


61,603 


65.979 


H7.1 


174,989 


93,614 
10.105 
44,538 
1,640 
15,185 
27,981 
20,569 

2,972 

12,081 

96,831 

1.036 

20,515 

275,338 

47,497 

59,000 

31,250 

1,755 

327,981 

367 

1,748 

17,543 


+2.6 
+5.4 
+4.2 
-5.9 
+.7 
+3.2 
+3,8 

-30.7 

+  1.8 

-7.2 

-33.5 

+  12.2 

-9.9 

-10.7 
-11.7 

-2.3 
+  16.4 

+4.1 
+24.8 
+  14.3 

+2.1 


11,259 

625 

581 

112 

3,343 

10,998 

2,730 

100 

2,024 

5,803 

50 

237 
2,645 

12,581 

1,588 

5,945 

288 

25,374 

58 

1,529 

17,183 


12,932 

694 

612 

76 

3,588 

12,687 

3,600 

72 
2,134 
5,170 

31 

246 

2,201 

11,602 

1,206 

6,639 

330 

26,247 

62 

1.748 

17,543 


+  14.9 

+  11.0 

+  5.3 

-32.1 

+7.3 
+  15.4 
+31.9 

-28.0 
+5.4 

-10.9 

-38.0 
+3.8 

-16.8 

-7.8 
-24.1 
+  11.7 
+  14.6 

+3.4 

+6.9 
+  14.3 

+2.1 


80,020 
8,961 
42,171 
1,630 
11,738 
16,117 
17,083 

4,188 

9,845 

98,523 

1,507 

1 8,044 

.302,793 

40,610 

65,263 

26,026 

1,220 

289,721 

236 


1,868 

3,454 

8,196 

39.281 

28,070 

81,210 

12,136 

1,311 


52.799 

122,727 


175.526 


80,682 
9,411 
43,926 
1,564 
11,597 
15,294 
16,969 

2,900 
9,947 

91,661 
1,005 

20,269 
273,137 

35,895 

57,794 

24,611 

1,425 

301.734 

305 


-2.9 


-4.5 

4 

+9.3 
-.6 

+3.2 
-.4 

-3.6 

+  5.8 


+.7 
+.1 


+.8 
+5.0 
+4.2 
-4.0 
-1.2 
-5.1 

-.7 

-30.8 

+  1.0 

-7.0 

-33.3 

+  12.3 

-9.8 

-11.6 

-11.4 

-5,4 

+  16,8 

+4.1 
+29.2 


'Violenl  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. 


243 


Table  51.— Suburban  County  Arrest  Trends,  Sex,  1990-1991 

[738  agencies;   1991  estimated  population  31.484,000;   1990  population  31,141,000) 


Offense  charged 


Males 


Total 


1990 


1991 


Percent 
change 


Under  18 


1990 


1991 


Percent 
change 


Females 


Total 


1990 


1991 


Percent 
change 


Under  18 


1990 


1991 


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  olTenses  (except  forcible  rape  and 

prostitution)  

Drug  abuse  violations    

Gambling  

Offenses  against  family  and  children    . 
Driving  under  the  influence  

Liquor  laws 

Drunkenness    

Disorderly  conduct    

Vagrancy    

All  other  offenses  (except  traffic)  

Suspicion  (not  included  in  totals)  — 
Curfew  and  loitering  law  violations 
Runaways  


1,141,539 


1,113,822 


-2.4 


129,443 


136,748 


+5.6 


235,508 


236,862 


+.6 


37,155 


38,589 


1,918 

4,018 

8,549 

39,632 

37,888 

77,068 

18,453 

1,968 


54,117 
135,377 


189,494 


76,322 
6,264 

21,957 
1,105 

13,340 
24,368 
18,445 

1,817 

11,264 

85,938 

1,248 

16,774 

270.051 

43,189 

60,068 

26,054 

1,290 

263,162 

245 

1,135 

8,254 


1,857 

3,973 

9,662 

39,995 

39,703 

78,628 

18,293 

2,164 


-3.2 

-1.1 

+  13.0 

+.9 

+4.8 

+2.0 

-.9 

+  10.0 


184 

587 

1.675 

4,628 

12,949 

22,697 

7,041 


188 

562 

2,067 

5,128 

13,961 

24,099 

7,160 

1 ,054 


+2.2 

-4.3 

+23.4 

+  10.8 

+  7.8 

+6.2 

+  1.7 

+  19.5 


237 

40 

745 

5,299 

3,267 

35,115 

2,168 

227 


207 

58 

731 

5,285 

3,506 

35,191 

1,941 

311 


-12.7 

+45.0 

-1.9 

-.3 

+7.3 

+.2 

-10.5 

+37.0 


14 

18 

123 

796 

1,017 

7,921 

997 

74 


8 

15 

130 

871 

1,178 

8,510 

938 

110 


55,487 
138,788 


+2.5 
+2.5 


7,074 
43,569 


7,945 
46,274 


+  12.3 
+6.2 


6,321 
40,777 


6,281 
40,949 


-.6 

+.4 


951 
10,009 


1,024 
10,736 


194,275 


+2.5 


50,643 


54,219 


+7.1 


47,098 


47,230 


+.3 


10,960 


11,760 


77,695 
6,562 

22,831 
1,021 

1 3,490 
25,168 
19,174 

1,185 

11,517 

80,154 

854 

18,796 

240,975 

38,185 

52,846 

25,267 

1,525 

272,831 

304 

1,289 

8,182 


+  1.8 
+4.8 
+4.0 
-7.6 

+  1.1 
+3.3 
+4.0 

-34.8 

+2.2 

-6.7 

-31.6 

+  12.1 

-10.8 

-11.6 
-12.0 

-3.0 
+  18.2 

+3.7 

+24.1 

+  13.6 

-9 


8.752 
397 
404 

78 

3,023 
10,130 

2,576 

50 

1,879 

5,009 

39 

173 

2,293 

8,967 

1,331 

4,577 

239 

19,494 

48 

1,135 

8,254 


10,065 

498 

395 

53 

3,233 
11,742 
3,400 

43 

2,005 

4,488 

31 

188 

1,887 

8,202 

995 

5,174 

292 

20,367 

49 

1,289 

8,182 


+ 1 5.0 

+25.4 

—2.2 

-32.1 

+6.9 
+  15.9 
+32.0 

-14.0 

+6.7 
-10.4 
-20.5 

+8.7 
-17.7 

-8.5 

-25.2 

+  13.0 

+22.2 

+4.5 

+2.1 

+  13.6 

-.9 


14,957 

3,322 

20,795 

637 

1,741 
2,747 
1,368 

2,471 


605 
18,388 

309 

1,.507 

35,387 

10,002 

6,783 

5,917 

218 

51,933 

49 

394 

8,929 


15,919 

3,543 

21,707 

619 

1,695 
2,813 
1,395 

1,787 

564 

16,677 

182 

1,719 

34,363 

9,312 

6, 1 54 

5,983 

230 

55,150 

63 

459 

9,361 


+6.4 
+6.7 

+4.4 


-2.6 

+2.4 
+2.0 

-27.7 

-6.8 

-9.3 

-41.1 

+  14.1 

-2.9 

-6.9 
-9.3 
+  1.1 
+5.5 
+6.2 
+28.6 
+  16.5 
+4.8 


2,507 

228 

177 

34 

320 
868 
154 

50 

145 

794 

II 

64 

352 

3,614 

257 

1,368 

49 

5,880 

10 

394 

8.929 


2,867 

196 

217 

23 

355 
945 
200 


129 
682 


58 

-9,4 

314 

-10,8 

3,400 

-5.9 

211 

-17.9 

1,465 

+7.1 

38 

-22.4 

5,880 

13 

459 

9,361 


'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. 


244 


Table  52. — Suburban  County  Arrests,  Distribution  by  Age,  1991 

(914  agencies:  1991  estimated  population  35, 775,000] 


Offense  charged 


lolal 
all 
ages 


Ages 
under 

15 


Ages 

under 

18 


Ages 

18  and 

over 


Age 


Under 
10 


10- 


13-14 


19 


20 


TOTAL  

Percent  distribution'  

Murder  and  nonnegligenl  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  . . . 
Runawavs   


1,506,506 
100,0 


2,307 

4,500 

11,561 

49,072 

47,362 

126,392 

21,931 

2,684 


67,440 

100.0 

198,369 

100.0 


265,809 
100.0 


103,392 

11,721 

56,221 

1,778 

17,839 
30,024 
22,301 

3,214 

13,351 

106,061 

1.104 

22,675 
300.285 

49,921 

64.131 

36.924 

1.971 

375.758 

383 

1,964 

19,679 


63,484 
4,2 


190,758 
12.7 


1,315,748 
87.3 


4,177 
.3 


15,054 
1.0 


44,253 
2.9 


35,341 
2J 


43,424 
2.9 


48,509 
3.2 


62,309 
4.1 


65,188 
4.3 


20 

209 

599 

2.106 

6,415 

14.070 

2.265 

824 


221 

628 

2.390 

6.398 

16.348 

35.005 

8,680 

1,239 


2,086 

3,872 

9,171 

42,674 

31,014 

91,387 

13,251 

1,445 


6 

20 
194 
443 
800 
20 
179 


63 
111 
473 
1,662 
3,859 
254 
259 


18 

140 

468 

1,439 

4,310 

9,411 

1,991 

386 


45 

133 

455 

1,107 

3,057 

6,403 

2.099 

157 


60 

116 

615 

1.491 

3.375 

7.307 

2,303 

144 


96 

170 

721 

1.694 

3.501 

7,225 

2,013 

114 


189 

2IS 

936 

1,964 

3,751 

7,314 

1,811 

107 


1.34 

176 

834 

1,931 

3,196 

6,109 

1,362 

84 


2,934 

4.4 

23,574 

11.9 


9,637 

14.3 

61,272 

30.9 


57,803 

85.7 

137.097 

69.1 


220 

.3 

1.442 

.7 


649 

1.0 

6.034 

3.0 


2,065 

3.1 

16,098 

8.1 


1.740 

2.6 

11.716 

5.9 


2.282 

3.4 

13,129 

6.6 


2.681 

4.0 

12,853 

6.5 


3.307 

4.9 

12.983 

6.5 


3.075 

4.6 

10,751 

5.4 


26,508 
10.0 


70,909 

267 


194,900 

73.3 


1,662 


6,683 

2.5 


;,163 
6.8 


13,456 
5.1 


15,411 


15,534 
5.8 


16.290 
6.1 


13,826 


5,311 
91 

137 

7 

1,028 
6,204 
1.131 

II 

1.142 

720 

6 

105 

75 


123 

2.547 

63 

8.835 

24 

599 

7.925 


13.799 
740 

743 
77 

4.109 
13.461 
3.867 

75 

2.300 

5,584 

33 

303 

2.386 

12.227 

1,293 

7,278 

335 

29,528 

68 

1,964 

19,679 


89.593 
10.981 

55.478 
1.701 

13.730 
16.563 
18.434 

'3.139 

11,051 

100,477 

1,071 

22,372 
297,899 

37,694 

62,838 

29,646 

1.636 

346.230 

315 


386 
3 


1.411 
18 
14 


26 

804 

41 


102 
17 


254 

3 

620 


4 
191 


136 

1,991 

236 

3 

294 

100 

1 

23 

10 

77 

10 

639 

9 

2.014 

5 

95 

1.285 


3.514 
70 
112 

7 

866 

3,409 

854 


746 

603 

5 

62 

46 

806 

108 

1,654 

51 

6,201 

19 

500 

6,449 


2,455 
81 
93 
11 

776 

2.190 

720 


416 

870 

4 

42 

86 

1.517 

184 

1.346 

64 

5.230 

15 

496 

5,283 


2.866 

205 

190 

19 

1.115 

2.498 

906 

21 

395 

1,568 

12 

58 

550 

3,583 
315 

1,618 
111 

6,808 

15 

494 

4.666 


3,167 

363 

323 

40 

1.190 
2.569 
1.110 

37 

347 

2,426 

11 

98 

1,675 

6,235 

671 

1,767 

97 

8,655 

14 

375 

1,805 


3,422 

506 

933 

78 

1.458 
1,890 
1,419 

81 

385 

4.484 

26 

436 
5.494 

8.416 

1,957 

1,898 

137 

12,978 

21 


3.556 

604 

1.431 

92 

1.229 
1.406 
1,338 

75 

381 

5.169 

24 

423 

7,332 

8,063 

2,106 

1,725 

105 

16,281 

22 


67,750 
4,5 


130 
192 
721 
1,942 
2,617 
5,260 
1.101 


2.985 
4.4 

9.060 
4.6 


12.045 
4.5 


3.804 

628 

2.056 

77 

1.058 
1.239 
1,165 

111 

377 

5,626 

20 

523 
9,387 

7,253 

2.302 

1,663 

91 

18,310 

15 


See  footnotes  at  end  of  table. 


245 


Table  52. — Suburban  County  Arrests,  Distribution  by  Age,  1991 — Continued 


Offense  charged 


Age 


22  2}  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  nonnegligent  manslaughter 

Forcible  rape    

Robbery  

Aggravated  assault   

Burglary  

Larceny-theft    

Motor  vehicle  theft  

Arson    


Violent  crime^  

Percent  distribution' 

Property  crime*    

Percent  distribution' 


Crime  Index  total*   . 
Percent  distribution' 


Other  assaults  

Forgery  and  counterfeiting   

Fraud    

Embezzlement    

Stolen  properly,  buying,  receiving, 

possessing 

Vandalism    

Weapons;  carrying,  possessing,  etc. 


Prostitution  and  commercialized  vice  . 
Sex  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  


65,268 
4.3 


115 

192 

640 

1.960 

2,104 

4,683 

999 

75 


2,907 
4.3 

7,861 
4.0 


10,768 
4.1 


3,920 

625 

2,294 

79 

881 
1,092 
1,125 

124 

336 

5,493 

18 

663 

13,087 

1,768 

2,830 

1.677 

79 

18,391 

18 


59,%  I 
4.0 


59,367 
3.9 


58,202 
3.9 


278,380 
18.5 


232,314 

15.4 


155,480 
10.3 


95,074 
6.3 


51,520 
3.4 


28,569 
1.9 


16,559 
1.1 


9,968 

.7 


128 

165 

568 

1,823 

1,799 

3,914 

786 

52 


97 

185 

478 

1,876 

1,528 

3.786 

702 

47 


77 

169 

478 

1.770 

1.391 

3.488 

604 

56 


352 

778 

1.948 

9.095 

6.005 

16.899 

2.363 

285 


305 

650 

1.387 

7.867 

4.210 

14.498 

1.628 

■)■>■> 


183 

481 

649 

5,199 

2,393 

10,296 

927 

184 


148 

314 

316 

3.229 

1,145 

6,525 

488 

101 


79 

144 

111 

1,791 

472 

3,373 

244 

73 


75 

90 

59 

944 

186 

1,892 

103 

32 


24 

58 

23 

564 

109 

1,271 

63 

19 


19 
28 
14 

357 
54 

910 
22 
17 


2.684 
4.0 

6,551 
3.3 


2.636 
3.9 

6,063 
3.1 


2.494 

3.7 

5,539 


12.173 
18.1 

25.552 
12.9 


10.209 
15.1 

20,558 
10.4 


6,512 

9.7 

13,800 

7.0 


4,007 
5.9 

8.259 
4.2 


2,125 
3,2 

4,162 
2.1 


1.168 
1.7 

2,213 
I.I 


669 

1.0 

1,462 

.7 


418 

.6 

1,003 

.5 


9,235 
3.5 


8.699 
3.3 


8,033 
3.0 


37,725 
14.2 


30,767 
11.6 


20,312 
7.6 


12,266 
4.6 


6,287 
2.4 


3,381 
1.3 


2,131 


1,421 

.5 


3.736 

548 

2.452 

80 

744 

883 

1,057 

139 

347 

5,034 

25 

707 

12,888 

1,175 

2,606 

1,464 

55 

16,777 

9 


3,945 

466 

2,569 

79 

658 
786 
976 

134 

404 

5,082 

18 

718 

13,221 

1.035 

2,577 

1,343 

74 

16.568 

15 


4,164 
490 

2,627 
71 

637 
725 
805 

140 

383 

4,837 

21 

863 

12,977 

805 

2,493 

1,337 

63 

16,713 

18 


20,214 

2,520 

12,546 

336 

2,540 
3,269 
3,400 

823 

1,890 

23,338 

115 

4,833 
65,356 

3,338 

12,380 

5,973 

276 

77,442 

66 


17,286 

1,892 

10,700 

295 

1,923 
2,254 
2,718 

682 

2,076 

19,346 

153 

5,063 
55,912 

2,252 

11,276 

4,914 

271 

62,487 

47 


10,979 

1,328 

7,759 

204 

1,216 
1,345 
1,671 

382 

1,484 

11,571 

116 

3,775 
38,811 

1,423 

8,678 

3,284 

185 

40,926 

31 


6,507 
739 

4,986 
155 

667 

738 

1,121 

208 

1,057 

5,934 

107 

2,328 

26,361 

883 

5,659 

1,898 

119 

23,315 

26 


3,536 

310 

2,523 

90 

325 
386 
671 

103 

660 

2,515 

125 

1,109 

15,501 

515 

3,247 

1,058 

65 

12,481 

13 


1,980 

164 

1,246 

31 

189 
261 
389 

61 

463 

1,057 

100 

509 

9,428 

354 

1,993 

604 

56 

6,294 

9 


1,164 

69 

660 

21 

91 
108 
249 

30 

298 

523 

93 

221 

5,771 

179 

1,243 

341 

12 

3,354 

1 


653 

60 

338 

9 

58 
67 
169 

19 

216 

270 

60 

106 

3,500 

114 

752 

208 

16 

1,929 

3 


9,839 

.7 


31 

32 

9 

362 

54 

1,169 

48 

9 


434 

.6 

1,280 

.6 


1,714 
.6 


727 

32 

358 

4 

56 
114 
161 

27 

294 

198 

50 

95 

2,873 

121 

739 

259 

32 

1,984 

I 


'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. 


246 


Table  53. — Suburban  County  Arrests  of  Persons  under  15,  18,  21,  and  25  Years  of  Age,  1991 

|9I4  agencies,   1991  estimated  population  35, 775.000] 


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    

M  urder  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    

Curfew  and  loitering  law  violations    

Runaways  


1,506,506 


2.307 

4,500 

11,561 

49,072 

47,362 

126.392 

21,931 

2,684 


67,440 
198,369 


265,809 


103,392 
11,721 
56,221 
1.778 
17.839 
30.024 
22.301 

3,214 

13.351 

106.061 

1,104 

22,675 

300,285 

49,921 

64,131 

36,924 

1.971 

375,758 

383 

1,964 

19,679 


63,484 


190,758 


386,005 


628.803 


4.2 


12.7 


20 

209 

599 

2.106 

6.415 

14,070 

2,265 

824 


221 

628 

2.390 

6.398 

16.348 

35.005 

8,680 

1,239 


674 

1.214 

4.881 

12,235 

25,912 

53,688 

12,954 

1,512 


1.091 
1.925 

7,045 
19,664 
32,734 
69,559 
16,045 

1,742 


.9 

4.6 

5.2 

4.3 

13.5 

11.1 

10.3 

30.7 


9.6 
14.0 

20.7 
13.0 
34.5 
27.7 
39.6 
46.2 


2.934 
23.574 


9.637 
61.272 


19.004 
94.066 


29.725 
1 20.080 


4.4 
11.9 


14,3 
30.9 


26.508 


70,909 


113.070 


149,805 


10.0 


26.7 


5.311 

91 

137 

7 

1.028 

6,204 

1,131 

11 

1.142 

720 

6 

105 

75 

892 

123 

2.547 

63 

8.835 

24 

599 

7.925 


13.799 

740 

743 

77 

4.109 

13.461 

3.867 

75 
2.300 
5.584 

33 

303 

2.386 

12.227 

1.293 

7.278 

335 

29,528 

68 

1.964 

19,679 


24.581 

2,478 

5.163 

324 

7,854 

17.996 
7.789 

342 

3,443 

20,863 

103 

1.685 

24.599 

35.959 

7.658 

12.564 

668 

77.097 

126 

1.964 

19.679 


40.346 
4,607 
15.105 
633 
10.774 
21.482 
11.752 

879 

4.913 

41.309 

185 

4.636 

76.772 

40.742 

18.164 

18.385 

939 

145.546 

186 

1,964 

19.679 


5.1 
.8 
.2 
.4 

5.8 
20.7 

5.1 

.3 
8.6 

.7 
.5 
.5 


1.8 

2 

6.9 
3.2 
2.4 
6.3 
30.5 
40.3 


13.3 

6.3 

1.3 

4.3 

23.0 

44.8 

17.3 

2.3 
17.2 
5.3 
3.0 
1.3 


24.5 

2.0 

19.7 

17.0 

7.9 

17.8 

100.0 

100.0 


25.6 


29.2 
27.0 
42.2 
24,9 
54.7 
42.5 
59.1 
56.3 


28,2 
47.4 


42.5 


23.8 
21.1 
9.2 
18.2 
44.0 
59.9 
34.9 

10.6 
25.8 
19.7 
9.3 
7.4 
8.2 

72.0 
11.9 
34.0 
33.9 
20.5 
32.9 
100.0 
100.0 


41.7 


47.3 
42.8 
60.9 
40.1 
69.1 
55.0 
73.2 
64.9 


44.1 
60.5 


56.4 


39.0 
39.3 
26.9 
35.6 
60.4 
71.5 
52.7 

27.3 
36.8 
38.9 
16.8 
20.4 
25.6 

81.6 
28.3 
49.8 
47.6 
38.7 
48.6 
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. 
Mncludes  arson. 
*Less  than  one-tenth  of  I  percent. 


247 


Table  54. — Suburban  County  Arrests,  Distribution  by  Sex,  1991 

[914  agencies;  1991  estimaled  populalion  35,775,000] 


Offense  charged 


Number  of  persons  arrested 


Total 


Male 


Female 


Percent 
male 


Percent 
female 


Percent  distribution' 


Total 


Male 


Female 


TOTAL  

Murder  and  nonnegligent  manslaughter    

Forcible  rape  

Robbery    

Aggravated  assault    

Burglary    

Larceny-theft  

Motor  vehicle  theft   

Arson   

Violent  crime^   

Property  crime^    

Crime  Index  total*    

Other  assaults   

Forgery  and  counterfeiting    

Fraud  

Embezzlement  

Stolen  property;  buying,  receiving,  possessing  

Vandalism  

Weapons;  carrying,  possessing,  etc 

Prostitution  and  commercialized  vice    

Sex  offenses  (except  forcible  rape  and  prostitution) 

Drug  abuse  violations 

Gambling  

Offenses  against  family  and  children    

Driving  under  the  influence  

Liquor  laws    

Drunkenness    

Disorderly  conduct    

Vagrancy    

All  other  offenses  (except  traffic)   

Suspicion   

Curfew  and  loitering  law  violations    

Runaways  


1,506.506 


2.307 

4,500 

11,561 

49,072 

47,362 

126,392 

21,931 

2,684 


67,440 
198.369 


265,809 


103,392 
11,721 
56,221 
1.778 
17,839 
30,024 
22,301 

3,214 

13,351 

106,061 

1,104 

22,675 

300,285 


49,921 

64,131 

36,924 

1,971 

375,758 

383 

1,964 

19,679 


1,239,209 


267,297 


82.3 


17.7 


100.0 


2.062 
4.438 
10,740 
43,201 
43,531 
87,523 
19,787 
2,346 


245 

62 

821 

5,871 

3.831 

38.869 

2,144 

338 


89.4 
98.6 
92.9 
88.0 
91.9 
69.2 
90.2 
87.4 


10.6 
1.4 
7.1 

12.0 
8.1 

30.8 
9.8 

12.6 


60.441 
153.187 


6.999 
45.182 


89.6 

77.2 


10.4 
22.8 


213.628 


52.181 


80.4 


19.6 


85.989 
7.575 
28.604 
1.125 
15.820 
26.968 
20,759 

1,284 

12,752 

87,666 

908 

20,726 

262,781 


40.166 

57.339 

29.859 

1.722 

312.659 

318 

1.462 

9.099 


17.403 
4.146 

27.617 

653 

2,019 

3,056 

1,542 

1.930 

599 

18.395 

196 

1.949 

37,504 


9,755 

6,792 

7,065 

249 

63,099 

65 

502 

10,580 


83.2 
64.6 
50.9 
63.3 
88.7 
89.8 
93.1 

40.0 
95.5 
82.7 
82.2 
91.4 
87.5 


80.5 
89.4 
80.9 
87.4 
83.2 
83.0 
74.4 
46.2 


16.8 
35.4 
49.1 
36.7 
11.3 
10.2 
6.9 

60.0 
4.5 

17.3 

17.8 
8.6 

12.5 


19.5 
10.6 
19.1 
12.6 
16.8 
17.0 
25.6 
53.8 


.2 

.3 

.8 

3.3 

3.1 

8.4 

1.5 

.2 


4.5 
13.2 


17.6 


6.9 
.8 
3.7 
.1 
1.2 
2.0 
1.5 

.2 
.9 

7.0 
.1 

1.5 
19.9 


3.3 

4.3 

2.5 

.1 

24.9 

s 

.1 
1,3 


100.0 


.2 

.4 

.9 

3.5 

3.5 

7.1 

1.6 

.2 


4.9 
12.4 


17.2 


6.9 
.6 

2.3 
.1 
1.3 
2.2 
1.7 

.1 
1.0 
7.1 

.1 

1.7 

21.2 


3.2 

4.6 

2.4 

.1 

25.2 

s 


100,0 


.1 
.0 
.3 
2.2 
1.4 
14.5 
.8 
.1 


2.6 
16.9 


19.5 


6.5 
1.6 
10.3 
.2 
.8 
1.1 
.6 

.7 
.2 
6.9 
.1 
.7 
14.0 


3.6 

2.5 

2.6 

.1 

23.6 

s 

.2 
4.0 


'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. 

'Less  than  one-tenth  of  1  percent. 


248 


Table  5S. — Suburban  County  Arrests,  Distribution  by  Race,  1991 

|9I0  agencies;  1991  estimaled  population  35.592,000] 


OfTense  charged 


Total  arrests 


Total 


White 


Black 


American 
Indian 


Alaskan 
Native 


Pacific 
Islander 


Percent  distribution' 


Total 


White 


Black 


American 
Indian 


Alaskan 
Native 


Pacific 
Islander 


TOTAL    

Murder  and  nonnegligent  manslaughter 

Forcible  rape    

Robbery 

Aggravated  assault  

Burglary  

Larceny-theft    

Motor  vehicle  theft    

Arson    

Violent  crime^    

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  


1,499,680 


2,299 

4,467 

11,496 

48,868 

47,115 

125,871 

21,902 

2,667 


67,130 
197,555 


264,685 


103,180 

11,654 

56,083 

1,776 

17,719 
29,942 
22,217 

3,200 

13,296 

105,859 

1.101 

22,372 
299,455 

49,872 

63,971 

36.522 

1,952 

372,912 

383 

1,945 

19,584 


1,168.433 


317,541 


6,445 


7,261 


100.0 


77.9 


21.2 


1.639 

3.142 

5.565 

36.715 

37.643 

87.800 

15.035 

2.298 


623 

1,273 

5,802 
11,563 

9.024 
36.474 

6,593 
339 


29 
41 
376 
200 
508 
108 
13 


29 

23 

88 

214 

248 

1,089 

166 

17 


100.0 
100.0 
100.0 
100.0 
100,0 
100.0 
100.0 
100.0 


71.3 
70.3 
48.4 
75.1 
79.9 
69.8 
68.6 
86.2 


47,061 
142,776 


19.261 
52.430 


454 
829 


354 
1.520 


100.0 
100,0 


70,1 
72,3 


189.837 


71.691 


1.283 


1,874 


100.0 


71.7 


77.501 
8.356 

40.828 
1,224 

12,138 
25,724 
15,400 

2,456 

11,584 

75,364 

799 

14,276 

274,524 

45,138 

56.681 

29.080 

1.454 

267.070 

319 

1.597 

17.083 


24.667 

3.209 

14.971 

535 

5.419 
3.955 
6.602 

666 

1.591 

30.021 

267 

8,039 
22,082 

4,215 

6,549 

7,039 

486 

102,911 

60 

310 

2,256 


559 
31 

138 
12 

73 
108 
69 

20 

53 

231 

1 

30 
973 

339 

496 

284 

5 

1,584 

I 

16 

139 


453 

100.0 

58 

100.0 

146 

100.0 

5 

100.0 

89 

100.0 

155 

100.0 

146 

100.0 

58 

68 

243 

34 

27 

1.876 

180 
245 
119 

7 

1.347 

3 

22 

106 


1000 

100.0 
100.0 
100.0 
100,0 
100.0 

100.0 
100.0 
100.0 
100.0 
100,0 
100.0 
100,0 
100.0 


75,1 
71.7 
72.8 
68.9 

68,5 
85.9 
69.3 

76.8 

87.1 
71.2 
72.6 
63.8 
91.7 

90.5 
88.6 
79.6 
74.5 
71.6 
83.3 
82.1 
87.2 


27.1 
28.5 
50.5 
23.7 
19.2 
29.0 
30.1 
12.7 


28.7 
26.5 


27.1 


23.9 
27.5 
26.7 
30.1 

30,6 
13.2 
29,7 

20.8 

12.0 
28,4 
24,3 
35,9 

7.4 

8,5 
10.2 
19.3 
24.9 
27.6 
15.7 
15,9 
11,5 


1.3 
.5 
.8 
.4 
.5 
.9 


.4 
.5 
.3 
.3 

.5 
.5 
.7 

1.8 

.5 
.2 
3.1 
.1 
.6 

.4 
.4 
.3 
.4 
.4 
.8 
1.1 
.5 


See  footnotes  at  end  of  table. 


249 


Table  55. — Suburban  County  Arrests,  Distribution  by  Race,  1991 — 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 


Pacific 

Islander 


TOTAL    

Murder  and  nonnegligent  manslaughter 

Forcible  rape    

Robbery  

Aggravated  assault  

Burglary  

Larceny-theft    

Motor  vehicle  theft    

Arson    

Violent  crime^    

Property  crime'   

Crime  Index  total'  

Other  assaults    

Forgery  and  counterfeiting  

Fraud    

Embezzlement    

Stolen  property;  buying,  receiving, 

possessing  

Vandalism    

Weapons;  carrying,  possessing,  etc 

Prostitution  and  commercialized  vice   . 
Sex  offenses  (except  forcible  rape  and 

prostitution)    

Drug  abuse  violations  

Gambling    

Offenses  against  family  and  children  .. 
Driving  under  the  influence    

Liquor  laws  

Drunkenness  

Disorderly  conduct   

Vagrancy  

All  other  offenses  (except  traffic)    

Suspicion    

Curfew  and  loitering  law  violations  . . . 
Runaways  


189,934 


221 

626 

2,386 

6,377 

16,286 

34,911 

8,673 

1,238 


9,610 
61,108 


70,718 


13,765 

740 

743 

77 

4,075 
13,420 
3,846 

75 

2,285 

5,572 

33 

300 

2,380 

12,217 

1,288 

7,124 

334 

29,345 

68 

1,945 

19,584 


150,989 


36,375 


994 


1,576 


100.0 


79.5 


19.2 


141 

443 

1,041 

4,434 

13,763 

26,438 

5,919 

1,076 


75 
178 
1,306 
1,855 
2,305 
7,874 
2,598 
139 


47 
85 
156 
58 


6,059 
47,196 


3,414 
12,916 


57 
307 


4 

100.0 

4 

100.0 

31 

100.0 

41 

100.0 

133 

100.0 

443 

100.0 

98 

100.0 

15 

100.0 

80 

100.0 

689 

100.0 

63.8 
70.8 
43.6 
69.5 
84.5 
75.7 
68.2 
86.9 


33.9 
28.4 
54.7 
29.1 
14.2 
22.6 
30.0 
11.2 


63.0 

77.2 


35.5 
21.1 


53,255 


16,330 


364 


769 


100.0 


75.3 


23.1 


10,045 

615 

566 

57 

2,823 
11,792 
2,766 

64 

1,926 

3,588 

12 

270 

2,273 

11,756 

1,170 

5,432 

274 

23,565 

60 

1,597 

17,083 


3,555 

117 

166 

19 

1,194 
1,489 
1,005 

10 

341 

1,957 

21 

29 

87 

321 

101 

1.588 

56 

5,415 

8 

310 

2,256 


25 
43 
21 


91 

100.0 

6 

100.0 

11 

100.0 

1 

100,0 

33 

100,0 

96 

100,0 

54 

100.0 

79 

13 

69 

I 

124 


I 
16 

61 

4 

35 

3 

241 


16 
139 


22 
106 


100,0 

100,0 
100,0 
100,0 
100,0 
100.0 

100,0 
100,0 
100,0 
100.0 
100,0 
100.0 
100.0 
100,0 


73.0 
83.1 
76.2 
74,0 

69.3 
87,9 
71.9 

85,3 

84.3 
64.4 
36,4 
90.0 
95.5 

96.2 
90.8 
76,2 
82,0 
80.3 
88.2 
82.1 
87.2 


25.8 

15.8 

7?  3 

74  7 

29.3 

11,1 

26.1 

n  1 

14.9 

35.1 

63  6 

9.7 

3.7 

2.6 

7.8 

1.0 

22.3 

1.0 

16.8 

18.5 

II  8 

15.9 

.8 

11.5 

.7 

.6 
1.3 
.6 
.8 
1.3 
I.I 
1.2 


1.1 


1.1 


1.5 
1.3 


,7 
1.4 


1.3 


See  footnotes  at  end  of  table. 


250 


Table  55. — Suburban  County  Arrests,  Distribution  by  Race,  1991 — Continued 


OlTense  charged 


Arrests  18  and  over 


Total 


White 


Black 


American 

Indian 

or 

Alaskan 
Native 


Pacific 
Islander 


Percent  distribution' 


Total 


White 


Black 


American 
Indian 


Alaskan 
Native 


Asian 

or 
Pacific 
Islander 


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    

Curfew  and  loitering  law  violations 
Runaways  


1,309,746 


2,078 

3,841 

9.110 

42.491 

30,829 

90,960 

13,229 

1,429 


57,520 
1  36,447 


193,967 


89,415 

10,914 

55,340 

1.699 

I  3,644 
16,522 
18,371 

3,125 

11,011 

100,287 

1 ,068 

22.072 
297,075 

37,655 

62,683 

29,398 

1,618 

343.567 

315 


1,017,444 


281,166 


5,451 


5,685 


100.0 


1,498 

2,699 

4.524 

32,281 

23.880 

61,362 

9,116 

1,222 


548 
1,095 
4.496 
9,708 
6,719 
28,600 
3,995 
200 


7 

28 

33 

329 

115 

352 

50 

5 


41,002 
95,580 


15,847 
39,514 


397 
522 


136,582 


55,361 


919 


67,456 
7,741 

40,262 
1.167 

9.315 
13.932 
12,634 

2,392 

9,658 

71,776 

787 

14,006 

272,251 

33,382 

55,511 

23,648 

1,180 

243,505 

259 


21,112 

3,092 

14,805 

516 

4,225 
2,466 
5,597 

656 

1,250 

28,064 

246 

8,010 
21,995 

3,894 

6,448 

5,451 

430 

97,496 

52 


485 
29 

138 
12 

48 
65 
48 

20 

44 

220 

1 

30 
969 

260 

483 

215 

4 

1.460 

1 


25 

19 

57 

173 

115 

646 

68 


100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


274 
831 


100.0 
100.0 


1.105 


100.0 


362 

52 

135 

4 

56 
59 
92 

57 

59 

227 

34 

26 

1,860 

119 

241 

84 

4 

1,106 

3 


100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 

100.0 

100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


72.1 
70.3 
49.7 
76.0 
77.5 
67.5 
68.9 
85.5 


71.3 
70.0 


70.4 


75.4 
70.9 
72.8 
68.7 

68.3 
84.3 


76.5 

87.7 
71.6 
73.7 
63.5 
91.6 

88.7 
88.6 
80.4 
72.9 
70.9 
82.2 


21.5 


26.4 
28.5 
49.4 
22.8 
21.8 
31.4 
30.2 
14.0 


27.6 
29.0 


28.5 


23.6 
28.3 
26.8 
30.4 

31.0 
14.9 
30.5 

21.0 

11.4 
28.0 
23.0 
36.3 

7.4 

10.3 
10.3 
18.5 
26.6 
28.4 
16.5 


1.2 
.5 
.6 
.4 
.4 
.7 
.5 
I 


.5 
.2 
3.2 
.1 
.6 

.3 
.4 
.3 
.2 
.3 
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. 


251 


Table  56.— Rural  County  Arrest  Trends,  1990-1991 

(1.835  agencies;  1991  estimated  population  19,802,000;   1990  population  19,596,000) 


Number  of  persons  arrested 


Offense  charged 


Total  all  ages 


1990 


1991 


Percent 
change 


Under  18  years  of  age 


1990 


1991 


Percent 
change 


18  years  of  age  and  over 


1990 


1991 


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  


746,136 


1,192 

2.281 

1,579 

21,798 

26.228 

39,923 

7,604 

1,328 


26,850 
75,083 


101,933 


50,625 

5,929 

40,042 

879 

5,724 
16,931 
8,162 

199 

6,710 

41,530 

565 

7.513 

167,452 

45,970 

48,016 

25,395 

325 

162,190 

753 

1,117 

8,929 


765,323 


+2.6 


75,977 


77,880 


+2.5 


670,159 


687.443 


1,252 

2.347 

1,870 

22,826 

28,846 

42,184 

7,577 

1,303 


+5.0 

+2.9 
+  18.4 

+4.7 
+  10.0 

+5.7 
-.4 

-1.9 


69 

269 

135 

1,584 

8.589 

9,564 

2,894 

318 


73 

273 

217 

1,859 

9,625 

10,108 

2,946 

366 


+5.8 

+  1.5 

+60.7 

+  17.4 

+  12.1 

+5.7 

+  1.8 

+  15.1 


1,123 

2,012 

1,444 

20,214 

17,639 

-30,359 

4,710 

1,010 


1,179 

2,074 

1,653 

20,967 

19,221 

32,076 

4,631 

937 


28,295 
79,910 


+5.4 
+6.4 


2,057 
21,365 


2,422 
23,045 


+  17.7 
+7.9 


24,793 
53,718 


25,873 
56,865 


108,205 


+6.2 


23,422 


25,467 


+8.7 


78,511 


82,738 


54,729 

6.282 

45.43! 

842 

5.955 
17,695 
8,251 

220 

7,100 

42,834 

579 

8,556 

161,636 

41,574 

46,701 

25,732 

358 

173,191 

771 

1,069 

8,383 


+8.1 

+6.0 

+  13.5 

-4.2 

+4.0 
+4.5 
+  1.1 

+  10.6 

+5.8 
+3.1 
+2.5 
+  13.9 
-3.5 

-9.6 

-2.7 
+  1.3 
+  10.2 
+6.8 
+2.4 
-4.3 
-6.1 


3.819 

433 

490 

18 

919 

5.907 

660 


949 

1.876 

7 

136 
2.046 

11.509 

894 

2,416 

40 

10,384 

251 

1,117 

8,929 


4,459 

.341 

589 

14 

1,025 

6,421 

784 


1,106 

1,714 

4 

180 

1.772 

10.260 

928 

2,646 

65 

10.644 

233 

1.069 

8.383 


+  16.8 
-21.2 
+20.2 
—22.2 

+  11.5 

+8.7 

+  18.8 

+50.0 

+  16.5 
-8.6 
-42.9 
+  32.4 
-13.4 

-10.9 
+3.8 
+9.5 

+62.5 

+2.5 
-7,2 
-4.3 
-6.1 


46.806 

5.496 

39.552 

861 

4.805 

11,024 

7,502 

193 

5,761 

39.654 

558 

7,377 

165,406 

34,461 
47,122 
22,979 

285 
151,806 

502 


50,270 

5,941 

44,842 

828 

4,930 

11,274 

7,467 

211 

5,994 

41,120 

575 

8,376 

159,864 

31,314 
45,773 
23,086 

293 
162,547 

538 


+2.6 


+5.0 

+3.1 

+  14.5 

+3.7 
+9.0 
+5.7 
-1.7 
-7.2 


+4.4 
+  5.9 


+5.4 


+7.4 

+8.1 

+  13.4 

-3.8 

+2.6 

+2.3 
-.5 

+9.3 

+4.0 
+3.7 
+3.0 
+  13.5 
-3.4 

-9.1 
-2.9 

+.5 
+2.8 
+7.1 
+7.2 


'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. 


252 


Table  57.— Rural  County  Arrest  Trends,  Sex,  1990-1991 

(1,835  agencies,  1991  estimated  population  19,802,000;   1990  population  19,596,000] 


Offense  charged 


Males 


Total 


1990 


Percent 
change 


Under  18 


1990 


1991 


Percent 
change 


Females 


Total 


1990 


1991 


Percent 
change 


Under  18 


1990 


1991 


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   


622,129 


1 ,009 

2,240 

1,4.36 

19,321 

24,246 

31,217 

6,803 

1,167 


24,006 
63,433 


87,439 


42,817 

3,960 

20,854 

515 

5,060 
15,141 
7,692 

113 

6,476 

34,776 

444 

6,588 

147,961 

36.733 

43,407 

21,126 

270 

135,883 

629 

706 

4,168 


634,403 


+2,0 


58.818 


6I.IS8 


+4.0 


124,007 


130,920 


17,159 


16,722 


1 ,093 

2.300 

1,712 

20, 1 7 1 

26,809 

32,717 

6,777 

1,144 


25,276 
67,447 


92.723 


46.060 

3.986 

23,715 

534 

5.273 
15.857 
7.696 

112 

6.844 

36,158 

459 

7,454 

142,298 

33,040 
41,756 
21,129 
307 
144,342 

631 

716 

3,944 


+8.3 

+2.7 
+  19,2 

+4.4 
+  10.6 

+4.8 
-.4 

-2.0 


63 

262 

125 

1.368 

7,954 

7,770 

2,501 

292 


67 

260 

196 

1,605 

8,932 

8,233 

2,549 

337 


+6.3 

-.8 

+56.8 

+  17.3 

+  12.3 

+6.0 

+  1.9 

+  15.4 


183 
41 

143 
2,477 
1.982 
8,706 

801 

161 


159 
47 

158 
2,655 
2,037 
9,467 

800 

159 


-13.1 

+  14.6 

+  10.5 

+7.2 

+2.8 

+8.7 

-.1 

-1.2 


6 
7 

10 

216 

635 

1,794 

393 

26 


6 

13 

21 

254 

693 

1,875 

397 

29 


+  5.3 
+6.3 


1.818 
18,517 


2,128 
20,051 


+  17.1 
+8.3 


2,844 
11,650 


3,019 
12,463 


+6.2 
+  7.0 


239 
2,848 


294 
2,994 


+6.0 


20,335 


22,179 


+9.1 


14.494 


15,482 


+6.8 


3,087 


3,288 


+  7.6 

+.7 

+  13.7 

+  3.7 

+4.2 

+4.7 

+.1 


+5.7 
+4.0 
+3.4 
+  13.1 
-3.8 

-10.1 
-3.8 

+  13.7 
+6.2 

+.3 
+  1.4 
-5.4 


2.982 

322 

281 

9 

815 

5,377 

625 


896 

1,545 

7 

108 
1,780 

7,983 

763 

1.925 

29 

8.158 

191 

706 

4,168 


3,537 

228 

367 

9 

900 
5,946 

751 


1,043 

1,446 

4 

141 

1,544 

7,105 

770 

2,076 

52 

8,394 

169 

716 

3,944 


+  18.6 
-29.2 
+30.6 


+  10.4 
+  10.6 
+20.2 

+  50.0 

+  16.4 
-6.4 
-42.9 
+30.6 
-13.3 

-11.0 
+.9 

+7.8 
+79.3 

+2.9 

-11.5 
+  1.4 
-5.4 


7.808 

1.969 

19,188 

364 

664 

1,790 

470 

86 

234 

6,754 

121 

925 

19,491 

9,237 

4,609 

4,269 

55 

26,307 

124 

411 

4,761 


8,669 

2,296 

21,716 

308 

682 

1,838 

555 

108 

256 

6,676 

120 

1,102 

19,338 

8,534 

4,945 

4,603 

51 

28,849 

140 

353 
4,439 


+  11.0 
+  16.6 
+  13.2 
-15.4 

+2,7 

+2.7 

+  18.1 

+25.6 

+9.4 

-1.2 

-.8 

+  19.1 


-7.6 
+7,3 
+7.8 
-7.3 
+9.7 

+  12.9 

-14.1 

-6.8 


837 

111 

209 

9 

104 

530 
35 


53 
331 


922 
113 

222 
5 

125 

475 

33 


63 
268 


266 

3,526 

131 

491 

11 

2,226 

60 

411 

4,761 


39 

228 

3,155 

158 

570 

13 

2,250 

64 

353 

4,439 


-2,5 


+85.7 
+  110.0 

+  17.6 
+9.1 
+4.5 
+  1.0 

+  11.5 


+23.0 

+5.1 


+6.5 


+  10.2 
+  1.8 
+6.2 

-44.4 

+20.2 
-10.4 

-5.7 

+50.0 

+  18.9 
-19.0 


+39.3 
-14.3 

-10.5 
+20.6 
+  16.1 
+  18.2 
+  1.1 

+6.7 

-14.1 

-6.8 


'Violent  crimes  are  offenses  of  murder,  forcible  rape,  robbery,  and  aggravated  assault. 
^Property  crimes  are  offenses  of  burglary,  larceny-theft,  motor  vehicle  theft,  and  arson, 
^Includes  arson. 


253 


Table  58.— Rural  County  Arrests,  Distribution  by  Age.  1991 

(2,146  agencies;  1991  estimated  population  22,591.0001 


Total 
all 
ages 

Ages 

under 

15 

Ages 

under 

18 

Ages 

18  and 

over 

Age 

Offense  charged 

Under 
10 

10-12 

13-14 

15 

16 

17 

18 

19 

20 

TOTAL  

870.725 
100.0 

23,441 

2,7 

83.407 
9.6 

787.318 
90.4 

1,730 
.2 

5,702 

.7 

16.009 
1.8 

14,112 
1.6 

20,260 
2,3 

25,594 
2.9 

38,453 
4.4 

41,397 
4.8 

41,833 

Percent  distribution'      

4.8 

Murder  and  nonnegligent 

1,468 

2,624 

2.232 

26,916 

32,476 

48,259 

8,379 

1,503 

9 

90 

21 

499 

3,406 

3,987 

835 

215 

85 

296 

244 

2.041 

10,274 

10,829 

3.116 

395 

1.383 

2.328 

1.988 

24.875 

22.202 

37.430 

5,263 

1,108 

1 
4 

1 

21 

2 

134 

975 

1.103 

117 

71 

7 

65 

19 

333 

2,156 

2.594 

703 

94 

11 

46 

31 

309 

1,695 

1,837 

682 

45 

31 

67 

75 

489 

2,324 

2,339 

830 

60 

34 

93 

117 

744 

2.849 

2,666 

769 

75 

62 

120 

175 

1,053 

3,279 

3,440 

739 

91 

70 

108 

144 

1,121 

2,716 

2,951 

538 

91 

61 

117 

Rohherv 

140 

32 

275 

290 

15 

50 

1,099 

2,107 

2,577 

409 

57 

33,240 
100.0 

90,617 
100.0 

619 

1.9 

8,443 

9.3 

2,666 

8.0 

24,614 

27.2 

30,574 

92.0 

66.003 

72.8 

37 

.1 

630 

.7 

158 

.5 

2,266 

2.5 

424 
1.3 

5,547 
6.1 

397 

1,2 

4,259 

4.7 

662 

2.0 

5.553 

6.1 

988 

3.0 

6,359 

7.0 

1,410 
4.2 

7,549 
8.3 

1,443 
4.3 

6,296 
6.9 

1,417 

4.3 

5.150 

5.7 

123,857 
100.0 

9,062 
7.3 

27.280 
22.0 

96.577 
78,0 

667 
,5 

2.424 
2.0 

5.971 
4.8 

4.656 
3.8 

6,215 
5.0 

7.347 
5.9 

8.959 

7.2 

7.739 
6.2 

6.567 

5.3 

61,062 

7,652 

54,482 

943 

7,013 
19,216 
9,207 

240 

7,922 

49,083 

626 

10,148 

180,826 

44,409 

56,675 

29,243 

396 

196,974 

819 

1,138 

8.794 

1,479 
62 
137 

4.784 

404 

621 

15 

1.117 

6,728 

837 

10 

1,203 

1,891 

6 

202 

1,966 

10,767 

1,086 

2,792 

68 

11,463 

235 

1,138 

8,794 

56.278 

7.248 

53,861 

928 

5,896 
12,488 
8,370 

230 

6,719 

47,192 

620 

9,946 

178,860 

33,642 
55,589 
26,451 

328 
185,511 

584 

136 
4 
9 

394 
19 

47 

32 

936 

63 

3 

129 
41 

7 
5 

77 

9 

209 

4 

727 
23 
74 

479 

949 
39 
81 

213 

1.422 

162 

1 

348 
202 

26 
25 

748 

98 

523 

12 

2.028 

48 

315 

2.798 

737 
38 
67 

2 

205 

1,076 

131 

192 
279 

36 
76 

1,430 

107 

441 

13 

1,923 

46 

301 

2,356 

1,169 
121 
159 

4 

314 

1.451 

202 

4 

233 
482 

2 

53 
494 

3.242 

236 

700 

17 

2.774 

53 

277 

2.058 

1.399 
183 

258 
9 

349 

1.435 

263 

2 

261 

875 

4 

76 

1.331 

5.251 

626 

862 

20 

3.778 

56 

168 

1.041 

2,132 

380 

958 

21 

574 

1,373 

386 

2 

294 

1,936 

4 

287 
3,357 

7,278 

1.795 

1.318 

10 

7,353 
36 

2.354 

444 

1.746 

29 

516 

1.136 

446 

6 

312 

2.269 

6 

345 
4.550 

7,068 
2.134 
1,301 

14 
8.956 

26 

2.478 

465 

2.182 

39 

Stolen  property;  buying,  receiving, 

249 

2,766 

241 

4 

517 

255 

4 

408 

16 

439 

907 

Weapons;  carrying,  possessing,  etc 

Prostitution  and  commercialized  vice  ... 
Sex  offenses  (except  forcible  rape 

386 

7 

40 
12 

4 
35 

19 
10 

57 
-) 

233 

9 

3 

62 

224 

2.595 

■) 

Offenses  against  family  and  children    ... 

37 
65 

844 

117 

789 

18 

2,988 

80 

392 

3,339 

334 
5.693 

6.069 

2.302 

1.370 

14 

All  other  offenses  (except  traffic)   

9.733 

27 

Curfew  and  loitering  law  violations    .... 

See  footnotes  at  end  of  table. 


254 


fable  58. — Rural  County  Arrests,  Distribution  by  Age,  1991 — 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' 


tlurder  and  nonnegligent  manslaughter 

-orcible  rape  

tobber>'   . .  -. 

aggravated  assault   

lurglary    

,arceny-theft    

-lotor  vehicle  theft  

irson  


Violent  cnme^  

Percent  distribution' 
Property  crime'  . ... 
Percent  distribution' 


Crime  Index  total*   .. 
Percent  distribution' 


»ther  assaults  

orger>'  and  counterfeiting    

raud 

mbezzlement  

tolen  property;  buying,  receiving, 

possessing   

andalism  

/capons;  carrying,  possessing,  etc.    . , 

roslitutlon  and  commercialized  vice 
ex  offenses  (except  forcible  rape 

and  prostitution)    

»rug  abuse  violations    

iambling 

'ffcnses  against  family  and  children   . 
'riving  under  the  influence    


iquor  laws    

irunkenness    

'isorderly  conduct    

agrancy    

II  other  offenses  (except  traffic)  ... 

uspicion   

urfew  and  loitering  law  violations 
unaways  


37,703 
4.3 


61 

111 

123 

1,136 

1,569 

2,240 

338 

45 


1,431 
4.3 

4.192 
4.6 


5,623 
4.5 


2,402 

388 

2,482 

40 

407 
802 
415 

3 

199 

2,299 

6 

427 
7,021 

1.725 
2,436 
1.449 

20 
9,519 

40 


34,102 
3.9 


32.912 
3.8 


33,637 
3.9 


155.243 
17.8 


133.019 
15.3 


92.796 
10.7 


60.425 
6.9 


34.738 
4.0 


20,865 
2.4 


12.856 
1.5 


8.154 
.9 


63 

94 

116 

1,046 

1,290 

1,801 

327 

63 


58 

86 

107 

1,015 

1,125 

1.671 

266 

34 


62 

100 

98 

1.064 

1,054 

1.595 

259 

36 


229 

443 

464 

5.092 

3,853 

6,737 

914 

192 


220 

428 

299 

4,293 

2,471 

5.215 

657 

169 


191 

281 

163 

3.033 

1.362 

3.420 

374 

136 


113 
169 

77 

1,953 

695 

2,237 

222 

80 


78 

104 

32 

1,236 

323 

1,313 

97 

49 


47 
65 
28 
733 
147 
844 
63 
26 


26 
44 
II 

400 
80 

551 
33 
12 


13 

32 

5 

246 
52 

330 
12 
II 


1.319 
4.0 

3.481 
3.8 


1,266 
3.8 

3,096 
3.4 


1.324 
4.0 

2,944 
3.2 


6,228 

18.7 

11.696 

12.9 


5,240 

15.8 

8,512 

9.4 


3,668 

11.0 

5.292 

5.8 


2,312 
7.0 

3,234 
3.6 


1,450 
4.4 

1.782 
2.0 


873 

2.6 

1.080 

1.2 


481 
1.4 
676 

.7 


296 
.9 

405 
.4 


4,800 
3.9 


4,362 
3.5 


4,268 
3.4 


17.924 
14.5 


13.752 
11.1 


8.960 

7.2 


5.546 
4.5 


3.232 
2.6 


1.953 
1.6 


1.157 
.9 


701 
.6 


2.325 

367 

2,386 

22 

329 
657 
374 

3 

199 

2,325 

13 

388 
6,515 

1.108 
2,167 
1,226 

12 
8,862 

24 


2.347 

398 

2,429 

40 

306 

571 
342 


184 

2,181 

10 

337 
6,533 

903 

2,107 

1,209 

15 

8,598 

35 


2,546 

360 

2,537 


286 
549 
345 

II 

213 

2.345 

14 

426 
6.852 

849 

2.090 

1,257 

14 

8.617 

30 


11,847 

1.611 

11,352 

150 

1,047 
2.375 
1,530 

59 

1.015 

10.881 

48 

2.073 
35.286 

2.875 

10.524 

5.321 

70 

39.152 

103 


10,368 

1,228 

9,817 

156 

763 
1,769 
1,349 

48 

1,095 

9,208 

78 

1,961 

33.323 

2.058 
9,665 
4.372 

66 
31.849 

94 


6,957 
782 

7,303 
139 

498 

1,067 

954 

29 

941 
5.668 

78 

1.539 

24.956 

1.353 
7.152 
2.981 

35 
21.323 

81 


4,550 
411 

4.711 
100 

323 
581 
716 

19 

635 

2.983 

65 

898 

17.583 

843 

4.945 

1.905 

27 

13.549 

35 


2.511 

206 

2,629 

73 

168 
304 
435 

II 

368 

1.308 

74 

476 

10.619 

574 

3.116 

1.054 

14 

7.546 

20 


1,454 

110 

1,363 

43 

110 
138 
267 


417 

618 

74 

212 

6,644 

357 

2.110 

618 

10 

4.344 

15 


837 
41 

838 
31 

63 
110 
166 

12 

215 

271 

55 

98 

4.313 

236 

1.333 

446 

5 

2.624 

5 


557 
27 

537 
12 

29 
46 
122 

3 

171 

154 

31 

68 

2.817 

142 
855 
286 


1.591 
5 


9.185 
1.1 


29 

26 

6 

355 
79 

508 
15 
16 


416 
1.3 
618 

.7 


1,034 


613 

30 

591 

5 

38 
103 

137 


237 

151 

62 

77 

2,798 

204 

858 

338 

2 

1,895 


'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. 


255 


Table  59.— Rural  County  Arrests  of  Persons  under  15,  18,  21,  and  25  Years  of  Age,  1991 

[2,146  agencies;  1991  estimated  population  22.591,000) 


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  lav»s  

Drunkenness   

Disorderly  conduct    

Vagrancy  

All  other  offenses  (except  traffic)  ... 

Suspicion  

Curfew  and  loitering  law  violations 
Runaways  


870,725 


1,468 

2,624 

2,232 

26,916 

32,476 

48,259 

8,379 

1,503 


33,240 
90,617 


123,857 


61,062 

7,652 

54,482 

943 

7,013 
19,216 

9,207 

240 

7.922 

49,083 

626 

10.148 

180.826 

44.409 

56,675 

29,243 

396 

196,974 

819 

1,138 

8.794 


23,441 


83,407 


205,090 


343,444 


2.7 


9.6 


9 

90 

21 

499 

3,406 

3,987 

835 

215 


85 

296 

244 

2,041 

10,274 

10,829 

3,116 

395 


278 

641 

703 

5,314 

18,376 

19.797 

4.802 

634 


522 

1.032 

1.147 

9,575 

23,414 

27.104 

5.992 

812 


.6 
3.4 
.9 
1.9 
10.5 
8.3 
10.0 
I4J 


5.8 
11.3 
10.9 

7.6 
31.6 
22.4 
37.2 
26.3 


619 

8.443 


2.666 
24,614 


6.936 
43,609 


12.276 
57,322 


1.9 
9.3 


8.0 

27.2 


9,062 


27,280 


50,545 


69,598 


7.3 


22.0 


1.479 
62 
137 


249 

2.766 

241 


517 
255 


37 
65 

844 

117 

789 

18 

2.988 

80 

392 

3,339 


4,784 

404 

621 

15 

1.117 

6.728 

837 

10 

1.203 

1.891 

6 

202 

1.966 

10.767 

1.086 

2,792 

68 

11.463 

235 

1,138 

8,794 


11.748 

1.693 

5.507 

104 

2.646 

10,144 
2.055 

25 

2.033 

8,691 

18 

1,168 

15,566 

31,182 

7.317 

6.781 

106 

37,505 

324 

1,138 

8.794 


21.368 
3.206 

15.341 

234 

3.974 

12.723 
3.531 

47 

2,828 

17.841 

61 

2.746 
42.487 

35.767 

16,117 

11.922 

167 

73,101 

453 

1,138 

8.794 


2.4 
.8 
.3 

4 

3.6 
14.4 
2.6 

1.7 

6.5 

.5 


1.9 

.2 
2.7 
4.5 
1.5 
9.8 
34.4 
38.0 


7.8 
5.3 
1.1 
1.6 
15.9 
35.0 
9.1 

4.2 

15.2 
3.9 
1.0 
2.0 
1.1 

24.2 

1.9 

9.5 

17.2 

5.8 

28.7 

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. 
Mncludes  arson. 
'Less  than  one-tenth  of  1  percent. 


23.6 


18.9 

24.4 
31.5 
19.7 
56.6 
41.0 
57.3 
42.2 


20.9 
48.1 


40.8 


19.2 
22.1 
10.1 
11.0 
37.7 
52.8 
22.3 

10.4 

25.7 
17.7 

2.9 
11.5 

8.6 

70.2 
12.9 
23.2 
26.8 
19.0 
39.6 
100.0 
100.0 


39,4 


35.6 
39.3 
51.4 
35.6 
72.1 
56.2 
71.5 
54.0 


36.9 
63.3 


56.2 


35.0 
41.9 
28.2 
24.8 
56.7 
66.2 
38.4 

19.6 

35.7 

36.3 

9.7 

27.1 
23.5 

80.5 
28.4 
40.8 
42.2 
37.1 
55.3 
lOO.O 
100.0 


256 


Table  60.— Rural  County  Arrests,  Distribution  by  Sex,  1991 

[2,146  agencies;  1991  estimated  population  22.591.000) 


OfTense  charged 


Number  of  persons  arrested 


Total 


Male 


Female 


Percent 
male 


Percent 
female 


Percent  distribution' 


Total 


Male 


Female 


TOTAL  

Murder  and  nonnegligent  manslaughter    

Forcible  rape  

Robbery    

Aggravated  assault   

Burglary    

Larceny-theft   

Motor  vehicle  theft 

Arson  

Violent  crime'  

Property  crime*    

Crime  Index  total*   

Other  assaults  

Forgery  and  counterfeiting    

Fraud 

Embezzlement  

Stolen  property;  buying,  receiving,  possessing  

Vandalism  

Weapons;  carrying,  possessing,  etc  

Prostitution  and  commercialized  vice    

Sex  offenses  (except  forcible  rape  and  prostitution) 

Drug  abuse  violations    

Gambling  

Offenses  against  family  and  children   

Driving  under  the  influence    

Liquor  laws    

Drunkenness    

Disorderly  conduct    

Vagrancy 

All  other  offenses  (except  IrafTic)  

Suspicion   

Curfew  and  loitering  law  violations    

Runawavs    


870.725 


1.468 

2,624 

2.232 

26,916 

.12,476 

48.259 

8.379 

1.503 


33.240 
90.617 


123.857 


61,062 
7,652 

54,482 

943 

7.013 

19.216 
9.207 

240 

7.922 

49,083 

626 

10,148 

180.826 

44.409 

56,675 

29.243 

396 

196.974 

819 

1.138 

8.794 


721.312 


149,413 


82.8 


17.2 


100.0 


1.274 

2,568 

2,036 

23,805 

30,178 

37,494 

7.504 

1.313 


194 

56 

196 

3.111 

2.298 

10.765 

875 

190 


29.683 
76.489 


3.557 
14.128 


86.8 

13,2 

97,9 

2.1 

91.2 

8.8 

88.4 

11.6 

92.9 

7.1 

77.7 

22.3 

89.6 

10.4 

87.4 

12.6 

89.3 

10.7 

84.4 

15.6 

.2 

.3 

.3 

3.1 

3.7 

5.5 

1.0 

.2 


3.8 
10.4 


106.172 


17,685 


85.7 


14.3 


14.2 


51.357 
4,917 

28,204 

613 

6.182 

17.182 
8.593 

126 

7.634 

41.466 

491 

8.834 

159.451 

35.343 

50.711 

24.035 

339 

164,100 

675 

765 

4.122 


9.705 

2.735 

26.278 

330 

831 

2.034 

614 

114 
288 

7,617 
135 

1.314 
21,375 

9,066 

5,964 
5,208 

57 

32,874 

144 

373 

4,672 


84.1 

15.9 

64.3 

35.7 

51.8 

48,2 

65.0 

35.0 

88.2 

11,8 

89.4 

10.6 

93.3 

6.7 

52.5 

47,5 

964 

3.6 

84.5 

15.5 

78.4 

21.6 

87.1 

12.9 

88.2 

11.8 

79,6 

20.4 

89.5 

10,5 

82.2 

17.8 

85.6 

14.4 

83.3 

16.7 

82.4 

17,6 

67.2 

32.8 

46.9 

53.1 

7.0 
.9 

6.3 
.1 
.8 

2.2 

1.1 


.9 
5.6 

1.2 
20.8 

5.1 
6.5 
3.4 

2 

22.6 

.1 

,1 

1.0 


100.0 


.2 

.4 

.3 

3.3 

4.2 

5.2 

1.0 

.2 


4.1 

10.6 


14.7 


7.1 
.7 

3.9 
.1 
.9 

2.4 

1.2 


1.1 

5.7 

.1 

1.2 

22.1 

4.9 
7.0 
3.3 

2 

22.8 
.1 
.1 
.6 


100.0 


.1 

2.1 

1.5 

7.2 

.6 


2.4 
9.5 


11.8 


6.5 

1.8 

17.6 

.2 
,6 
1,4 
.4 

.1 
.2 
5.1 
.1 
.9 
14,3 

6.1 
4.0 

3.5 

2 

22.0 

.1 

.2 

3.1 


'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. 


257 


Table  61.— Rural  County  Arrests,  Distribution  by  Race,  1991 

(2,127  agencies;   1991  estimated  population  22,390.000) 


Offense  charged 


Total  arrests 


Total 


White 


Black 


American 
Indian 


Alaskan 
Native 


Asian 


Pacific 
Islander 


Percent  distribution' 


Total 


White 


Black 


American 
Indian 

or 
Alaskan 
Native 


Asian 

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  


866,288 


1,461 

2,603 

2,216 

26,799 

32,197 

47,924 

8,330 

1,491 


33,079 
89,942 


123,021 


60,809 

7,570 

54.335 

939 

6,921 
19,118 
9,150 

240 

7,885 

48,682 

616 

10,002 

180,086 

44,178 

56,338 

29,158 

393 

196,170 

790 

1,106 

8,781 


726,979 


109,277 


20,922 


9,110 


100.0 


83.9 


12.6 


1,063 

2,000 

1,296 

20,319 

26,885 

39,341 

7,008 

1,309 


357 

489 

839 

5,497 

4,130 

6,985 

929 

124 


30 

88 

57 

799 

822 

757 

282 

43 


II 

26 

24 

184 

360 

841 

III 

15 


100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


72.8 
76.8 
58.5 
75.8 
83.5 
82.1 
84.1 
87.8 


24.4 
18.8 
37.9 
20.5 
12.8 
14.6 
11.2 
8.3 


24,678 
74,543 


7,182 
12,168 


974 
1,904 


245 
1,327 


lOO.O 
100.0 


74.6 
82.9 


21.7 
13.5 


99.221 


19,350 


2,878 


1,572 


100.0 


80.7 


15.7 


47,453 

5,821 

43,473 

825 

5,666 

16,893 

7,506 

207 

7,121 

39,528 

368 

7,797 

165,102 

41,026 

50,550 

24,923 

304 

154,165 

599 

711 

7,720 


10,658 

1,606 

10,287 

86 

1,070 
1,590 
1,395 

29 

514 
8,064 

14! 
1,893 
9,549 

1,421 

3,865 

2,535 

86 

34,535 

159 

25 

419 


1,828 

86 

452 

10 

145 
434 
158 

1 

196 

577 

1 

203 

4,434 

1,275 

1,861 

1 ,436 

3 

4,696 

32 

21 

195 


870 

100.0 

57 

100.0 

123 

100.0 

18 

100.0 

40 

1 00.0 

201 

100.0 

91 

100.0 

3 

54 

513 

106 

109 

1,001 

456 

62 

264 


2,774 


349 

447 


100.0 

lOO.O 
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 


78.0 
76.9 
80.0 
87.9 

81.9 
88.4 
82.0 

86.3 

90.3 
81.2 
59.7 
78.0 
91.7 

92.9 
89.7 
85.5 
77.4 
78.6 
75.8 
64.3 
87.9 


17.5 

21.2 

18.9 

9.2 

15.5 

8.3 

15.2 

12.1 

6.5 
16.6 
22.9 
18.9 

5.3 

3.2 
6.9 
8.7 
21.9 
17.6 
20.1 
2.3 
4.8 


2.1 
3.4 
2.6 
3.0 
2.6 
1.6 
3.4 
2.9 


2.9 
2.1 


2.3 


3.0 
1.1 


2.1 
2.3 
1.7 


1.1 


1.0 
1.1 
.7 
I.I 
1.8 
1.3 
1.0 


.7 
1.5 


1.3 


.2 
1.9 

.6 
1.1 
1.0 

1.3 


2.5 

.7 

1.2 

1.1 

.2 

17.2 

2.0 

1.1 

2.5 

.6 

2.9 

1.0 

3.3 

I 

4.9 

.9 

8 

2.4 

1.4 

4  I 

1.9 

31.6 

2.2 

5.1 

See  footnotes  at  end  of  table. 


258 


Table  61. — Rural  County  Arrests,  Distribution  by  Race,  1991 — Continued 


Offense  charged 


Arrests  under  18 


Total 


White 


Black 


American 
Indian 


Alaskan 
Native 


Pacific 
Islander 


Percent  distribution' 


Total 


White 


Black 


American 

Indian 

or 

Alaskan 
Native 


Asian 


Pacific 
Islander 


TOTAI.    

Murder  and  nonnegligent  manslaughter 

Forcible  rape    

Robbery  

Aggravated  assault  

Burglary  

Larceny-theft  

Motor  vehicle  theft    

Arson    

Violent  cnme^    

Properly  crime'   

Crime  Index  total*  

Dther  assaults    

Forgery  and  counterfeiting  

Fraud    

Embezzlement    

Stolen  property;  buying,  receivmg, 

possessing    

Vandalism    

A'eapons;  carrying,  possessing,  etc 

Prostitution  and  commercialized  vice   . 
>ex  ofTenses  (except  forcible 

rape  and  prostitution)    

3rug  abuse  violations  

jambling    

Dffenses  against  family  and  children  . . 
Driving  under  the  mfiuence    

liquor  laws  

Drunkenness  

Disorderly  conduct   

/agrancy  

Ml  other  ofTenses  (except  traffic)    

iuspicion    

Turfew  and  loitering  law  violations  ... 
Runaways   


82.918 


27.134 


10 


72,082 


85 

66 

295 

246 

243 

148 

2,032 

1,508 

10,215 

8,929 

10,777 

9,450 

3,095 

2,646 

392 

362 

2,655 

1,968 

24,479 

21,387 

23,355 


4,754 

3,605 

402 

358 

620 

536 

15 

10 

1,109 

971 

6,689 

6,155 

837 

700 

1,199 

1,084 

1,877 

1,435 

4 

2 

192 

163 

1,949 

1,851 

10,695 

10,102 

1,074 

1,015 

2,785 

2,456 

67 

60 

11,387 

9.593 

232 

191 

1,106 

711 

8,781 

7,720 

5,966 


2,270 


2.600 


100.0 


86.9 


7.2 


16 

41 

87 

436 

721 

722 

246 

15 


5 

60 

352 

203 

139 

6 


3 

28 

213 

402 

64 

9 


100.0 
100.0 
100.0 
100,0 
100.0 
100.0 
100.0 
100.0 


77.6 
83.4 
60.9 
74.2 
87.4 
87.7 
85.5 
92.3 


18.8 
13.9 
35.8 
21.5 
7.1 
6.7 
7.9 
3.8 


580 
1.704 


76 
700 


31 
688 


100.0 
100.0 


74.1 
87.4 


21.8 
7.0 


2,284 


776 


719 


100.0 


86.1 


8.4 


707 
31 
50 


97 
272 
109 


76 

307 

1 

17 

30 

103 

30 

246 

7 

1,139 

13 

25 

419 


172 

8 

21 


151 
9 


270 
5 

13 
3 

19 

111 

19 


24 

27 


53 

349 
25 
59 


15 

108 

1 

10 

15 

141 
4 

24 


328 
28 
21 

195 


327 


349 

447 


100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 

100.0 

100.0 
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 
89.1 
86.5 
66.7 

87.6 
92.0 
83.6 

90.0 

90.4 
76.5 
50.0 
84.9 
95.0 

94.5 
94.5 
88.2 
89.6 
84.2 
82.3 
64.3 
87.9 


2.7 


3.5 
2.7 
2.1 
3.0 
3.4 
1.9 
4.5 
1.5 


2.9 
2.9 


2.9 


3.1 


1.2 
1.4 
2.1 
3.7 
2.1 
2.3 


1.2 

2.8 


2.6 


14.9 

3.6 

5.7 

7.7 

2.0 

1.2 

8.1 

3.4 

2.1 

133 

20.0 

8.7 

2.0 

1.7 

4.1 

2.3 

1.7 

13.0 

I.I 

2.3 

10.0 

6.3 

2.0 

1.3 

16.4 

1.4 

5.8 

750 

25.0 

8.9 

1.0 

5.2 

1.5 

2.7 

.8 

1.0 

3.3 

1.3 

2.8 

2.3 

.4 

8.8 

2.1 

.9 

10.4 

10.0 

2.9 

2.9 

56 

12.1 
1.9 

2.3 

31.6 

4.8 

2.2 

5.1 

See  footnotes  at  end  of  table 


259 


Table  61.— Rural  County  Arrests,  Distribution  by  Race,  1991— Continued 


Arrests  18  and  over 

Percent  distribut 

on' 

Offense  charged 

Total 

White 

Black 

American 
Indian 

or 
Alaskan 
Native 

Asian 

or 
Pacific 
Islander 

Total 

White 

Black 

American 
Indian 

or 
Alaskan 
Native 

Asian 

or 
Pacific 
Islander 

TOTAL    

783,370 

654,897 

103,311 

18,652 

6,510 

100.0 

83.6 

13.2 

2.4 

.8 

Murder  and  nonnegligent  manslaughter  . . . 

1,376 

2,308 

1,973 

24,767 

21,982 

37,147 

5,235 

1,099 

997 

1,754 

1,148 

18,811 

17,956 

29,891 

4,362 

947 

341 

448 

752 

5,061 

3,409 

6,263 

683 

109 

27 

80 

52 

739 

470 

554 

143 

37 

11 
26 
21 
156 
147 
439 
47 
6 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

72.5 
76.0 
58,2 
76.0 
81.7 
80.5 
83.3 
86.2 

24.8 
19.4 
38.1 
20.4 
15.5 
16.9 
13.0 
9.9 

2.0 
3.5 
2.6 
3.0 
2.1 
1.5 
2.7 
3.4 

.8 
1.1 

1.1 

.6 

.7 

1.2 

.9 

.5 

30,424 
65,463 

22,710 
53,156 

6,602 
10,464 

898 
1.204 

214 
639 

100,0 
100.0 

1 

74.6 
81.2 

21.7 
16.0 

3.0 
1.8 

.7 

1.0 

95,887 

75,866 

17,066 

2,102 

853 

lOO.O 

79.1 

17.8 

2  2 

.9 

Other  assaults         

56,055 

7,168 

53,715 

924 

5,812 
12,429 
8,313 

230 

6,686 

46,805 

612 

9,810 

178,137 

33,483 
55,264 
26,373 
326 
184,783 
558 

43,848 

5,463 

42,937 

815 

4,695 
10,738 
6,806 

198 

6,037 

38,093 

366 

7,634 

163,251 

30,924 
49,535 
22,467 

244 
144,572 

408 

9,951 

1,575 

10,237 

84 

973 
1,318 
1,286 

28 

438 
7,757 

140 
1,876 
9,519 

1,318 

3,835 

2,289 

79 

33.396 

146 

1,656 

78 

431 

10 

123 
283 
149 

1 

172 

550 

1 

201 

4,381 

926 
1,836 
1,377 

3 
4,368 

4 

600 
52 

110 
15 

21 
90 

72 

3 

39 
405 
105 

99 
986 

315 

58 

240 

100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 

100.0 

100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100.0 
100.0 

78.2 
76.2 
79.9 
88.2 

80.8 
86.4 
81,9 

86.1 

90.3 
81.4 
59.8 
77.8 
91.6 

92.4 
89.6 
85.2 
74.8 
78.2 
73.1 

17.8 

22.0 

19.1 

9.1 

16.7 
10.6 
15.5 

12.2 

6.6 
16.6 
22.9 
19.1 

5.3 

3.9 
6.9 
8.7 
24.2 
18.1 
26.2 

3.0 

1.1 

.8 

1.1 

2.1 

2.3 
1.8 

.4 

2.6 
1  2 
2 
2.0 
2.5 

2.8 
3.3 
5.2 

.9 
2.4 

.7 

1.1 

.7 

.2 

1.6 

Stolen  properly;  buying,  receiving. 

.4 

.7 

Weapons;  carrying,  possessing,  etc 

Prostitution  and  commercialized  vice   

Sex  offenses  (except  forcible 

.9 
1.3 
.6 

.9 

17.2 

Offenses  against  family  and  children  

1.0 
.6 

.9 

.1 

.9 

2,447 

1.3 

1 

'Because  of  rounding,  ihe  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. 


260 


Table  62.— Suburban  Area'  Arrest  Trends,  1990-1991 

[4.109  agencies;  1991  estimated  population  67.001.000;   1990  population  66.288.000) 


Numhe 

of  persons  arrested 

Offense  charged 

Total  all  ages 

Under  18  years  of  age 

1 8  years  of  age  anc 

over 

1990 

1991 

Percent 
change 

1990 

1991 

Percent 
change 

1990 

1991 

Percent 
change 

TOTAL  

3,162.717 

3.110,669 

-1.6 

519,015 

541,033 

+4.2 

2,643,702 

2,569,636 

-2.8 

3,263 

7.609 

20.360 

90.973 

89.207 

349.267 

39.824 

4.686 

3,184 

7.791 

22.664 

92,169 

92.239 

359.999 

39.608 

5,138 

-2.4 
+2,4 
+  11.3 
+  1.3 
+3.4 
+3.1 
-.5 
+9.6 

369 

1.230 

4.390 

12,371 

32.514 

110.237 

17,364 

2.393 

353 

1,319 

5,508 

13,893 

34,637 

116,567 

17,661 

2,804 

-4.3 

+7.2 

+25.5 

+  12.3 

+6.5 

+5.7 

+1.7 

+  17.2 

2.894 

6.379 

15.970 

78,602 

56,693 

239,030 

22,460 

2.293 

2,831 

6,472 

17.156 

78.276 

57.602 

243.432 

21,947 

2.334 

-2.2 

+  1.5 

+7.4 

-.4 

+  1.6 

+  1.8 

-2.3 

+  1.8 

122.205 
482.984 

125,808 
496,984 

+2.9 
+2.9 

18.360 
162.508 

21.073 
171.669 

+  14.8 
+5.6 

103.845 
320.476 

104.735 
325.315 

+  .9 

+  1.5 

605.189 

622,792 

+2.9 

180.868 

192.742 

+6.6 

424.321 

430.050 

+  1.4 

217.520 

21.212 

85.497 

3.141 

38.611 
81.039 
44.285 

6.825 

22,496 

196,745 

2,256 

27,885 
564,358 

174,202 

187,374 

155,440 

4, 1  34 

664.170 

2.409 

19.087 

41,251 

223,907 

22,494 

90,108 

3,059 

39,565 
82.805 
46,273 

5,810 

23,433 

183,325 

1,683 

30.638 
516.196 

152.594 

168.091 

148.893 

4.583 

681,418 

2,287 

21,356 

41,646 

+2.9 
+6.0 
+5.4 
-2.6 

+2.5 
+2.2 
+4.5 

-14,9 

-    +4.2 

-6.8 

-25.4 

+9.9 

-8.5 

-12.4 
-10.3 

-4.2 
+  10.9 

+2.6 

-5.1 
+  11,9 

+  1.0 

33.128 

1.798 

1.698 

199 

10.558 

36.461 

8.260 

210 

4.237 

14.074 

124 

930 

6.110 

46.152 

5.865 

32.312 

818 
74.875 

834 
19.087 
41.251 

37.248 

1.968 

1.782 

185 

11,572 
40,804 
10.442 

163 

4,620 

12.932 

104 

924 

5,049 

40,448 

4,843 

33,850 

927 
77,428 

797 
21.356 
41.646 

+  12.4 
+9.5 
+4.9 
-7.0 

+9.6 
+  11.9 

+26.4 

-22.4 

+9.0 
-8.1 

-16.1 
-.6 

-17.4 

-12.4 
-17.4 

+4.8 
+  13.3 

+3.4 

-4.4 
+  11.9 

+  1.0 

184.392 

19.414 

83.799 

2.942 

28.053 
44,578 
36.025 

6.615 

18.259 

182,671 

2,132 

26,955 
558,248 

128,050 
181,509 
123,128 

3,316 
589,295 

1,575 

186.659 

20,526 

88.326 

2,874 

27.993 
42,001 
35,831 

5.647 

18.813 

170.393 

1.579 

29.714 
511.147 

112.146 
163.248 
1 1 5.043 

3.656 
603.990 

1,490 

+  1.2 

+5.7 

+5.4 

Embezzlement       

-2.3 

Stolen  property;  buying,  receiving. 

-.2 

-5.8 

-.5 

-14.6 

Sex  offenses  (except  forcible  rape 

+3.0 

-6.7 

-25.9 

+  10.2 

-8.4 

-12.4 

-10.1 

-6.6 

+  10.3 

All  other  offenses  (except  traffic)    

+2.5 

-5.4 

'Includes  suburban  city  and  county  law  enforcement  agencies  within  melropolilan  areas.  Excludes  central  cities.  Suburban  cities  and  counties  are  also  included  m  other  groups. 
^Violent  crimes  are  oftenses  of  murder,  forcible  rape,  robbery,  and  aggravated  assault. 
'Propeny  crimes  are  offenses  of  burglary,  larceny-theft,  motor  vehicle  theft,  and  arson. 
'Includes  arson. 


261 


Table  63.— Suburban  Area'  Arrest  Trends,  Sex,  1990-1991 

[4,109  agencies;  1991  estimated  population  67.001.000;   1990  population  66.288.000] 


Offense  charged 


Males 


Total 


1990 


1991 


Percent 
change 


Under  18 


1990 


1991 


Percent 
change 


Females 


Total 


1990 


1991 


Percent 
change 


Under  18 


1990 


1991 


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 


2.586,617 


2,529,858 


-2.2 


403,311 


421,607 


+4.5 


576,100 


580,811 


115,704 


119,426 


2,917 

7,523 

18.681 

80,023 

81,734 

236.638 

35,556 

4.164 


109.144 
358,092 


467,236 


181,630 

13,631 

44.854 

1.896 

33.836 
73.153 
41.340 


3,068 

21,464 

163,184 

1,842 

24,407 
492,180 

140,303 
167.992 
128.197 
3.603 
550.310 

2.038 
13.830 
18.661 


2.856 

7.672 

20.925 

80.978 

84.405 

243.969 

35.551 

4.542 


-2.1 
+2.0 
+  12.0 
+  1.2 
+3.3 
+3.1 

2 

+9.1 


347 

1,199 

4,079 

10.608 

30.026 

81.453 

15.246 

2,178 


340 

1.294 

5.165 

12.003 

31.879 

85,536 

15,553 

2,563 


-2.0 

+7.9 

+26.6 

+  13.2 

+6.2 

+5.0 

+2.0 

+  17.7 


346 

86 

1,679 

10,950 

7,473 

112,629 

4.268 

522 


328 

119 

1.739 

11,191 

7.834 

116.030 

4,057 

596 


-5.2 
+38.4 
+3,6 
+2.2 
+4,8 
+3.0 
-4.9 
+  14.2 


22 

31 

311 

1,763 

2,488 

28,784 

2,118 

215 


13 

25 

343 

1,890 

2,758 

31,031 

2.108 

241 


112.431 
368.467 


+3.0 
+2.9 


16,233 
128,903 


18.802 
135.531 


+  15.8 
+5.1 


13.061 
124,892 


13.377 
128,517 


+2.4 
+2.9 


2.127 
33,605 


2,271 
36.138 


480.898 


+2.9 


145,136 


154,333 


+6.3 


137,953 


141,894 


+2.9 


35.732 


38,409 


186,015 

14,411 

47,109 

1,878 

34.590 
74,541 
43.278 


2.660 

22.304 

152.655 

1.427 

26,841 
445.648 

122,643 
150.276 
121.572 
4.031 
562.924 

1.885 
15.581 
18.576 


+2.4 

+5.7 

+5.0 

-.9 

+2.2 
+  1.9 

+4.7 


-13.3 

+3.9 

-6.5 

-22.5 

+  10.0 
-9.5 

-12.6 

-10.5 

-5.2 

+  11.9 

+2.3 

-7.5 

+  12.7 

-.5 


25.894 

1.173 

1.166 

128 

9.592 
33.656 

7,854 


134 

3,980 

12,156 

110 

611 
5,280 

33,197 

4,923 

26,178 

695 

58,957 

703 
13,830 
18.661 


29,032 

1,294 

1.216 

114 

10.425 

37,623 

9,915 


100 

4,344 

11.181 

100 

643 
4.339 

29.212 

4.067 

27,216 

823 

61.473 

643 
15.581 
18.576 


+  12.1 

+  10.3 

+4.3 

-10.9 

+8.7 
+  11.8 
+26.2 


-25.4 

+9.1 
-8.0 
-9.1 

+  5.2 
-17.8 

-12.0 
-17.4 

+4.0 
+  18.4 

+4.3 

-8.5 

+  12.7 

-.5 


35.890 
7.581 

40.643 
1.245 

4.775 
7.886 
2,945 


3,757 

1,032 

33,561 

414 

3.478 
72.178 

33.899 

19,382 

27,243 

531 

113,860 

371 

5.257 

22,590 


37,892 
8.083 

42.999 
1.181 

4.975 
8.264 
2.995 


3.150 

1,129 

30,670 

256 

3.797 
70,548 

29,951 

17,815 

27,321 

552 

118,494 

402 

5,775 
23,070 


+5.6 
+6.6 
+5.8 
-5.1 

+4.2 
+4.8 
+  1.7 


-16.2 

+9.4 

-8.6 

-38.2 

+9.2 
-2.3 

-11.6 
-8.1 

+.3 
+4.0 
+4.1 

+8.4 
+9.9 

+2.1 


7,234 

625 

532 

71 

966 

2,805 

406 


76 

257 

1,918 

14 

319 
830 


12,955 

942 

6.134 

123 

15.918 

131 

5,257 

22,590 


8.216 

674 

566 

71 

1,147 

3.181 

527 


63 

276 

1.751 

4 

281 
710 

11.236 

776 

6.634 

104 

15.955 

154 

5,775 

23,070 


+3.2 


-40.9 
-19.4 
+  10.3 

+7,2 
+  10.9 

+7.8 

-.5 

+  12.1 


+6.8 

+7.5 


+7.5 


+  13.6 
+7.8 
+6.4 


+  18.7 
+  13.4 
+29.8 


-17.1 

+7.4 

-8.7 

-71.4 

-11.9 
-14.5 

-13.3 

-17.6 

+8.2 

-15.4 

+.2 

+  17.6 
+9.9 
+2.1 


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

^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. 


262 


Table  64.— Suburban  Area'  Arrests,  Distribution 

(4,786  agencies;  1991  estimated  population  76,506.000 

by  Age,  1991 

OfTense  charged 

Total 
all 

ages 

Ages 

under 

15 

Ages 

under 

18 

Ages 

18  and 

over 

Age 

Under 
10 

10-12 

13-14 

15 

16 

17 

18 

19 

20 

21 

TOTAL   

3,562,740 
100.0 

215,793 
6.1 

609,506 
17.1 

2.953,234 
82.9 

15,096 
.4 

53,916 
1.5 

146.781 
4.1 

112.778 
3.2 

135,815 
3.8 

145.120 
4.1 

170,421 
4.8 

171,957 
4.8 

171,497 
4.8 

155,939 

4,4 

Murder  and  nonnegligent 

3,724 

8,981 

26,261 

105,347 

104.900 

409.576 

44,204 

5,808 

45 

528 

1.697 

4,917 

15,702 

57,707 

5.395 

2.165 

407 

1.492 

6.273 

15.646 

39.095 

1 30.406 

19,584 

3.142 

3.317 

7.489 

19,988 

89,701 

65,805 

279,170 

24,620 

2,666 

25 

57 

398 

1,112 

3,775 

69 

437 

2 

138 

332 

1,145 

4,120 

16,926 

576 

743 

43 

365 

1,308 

3,374 

10,470 

37,006 

4,750 

985 

76 

280 

1,214 

2,760 

7,376 

22,973 

4,785 

392 

127 

299 

1,573 

3,744 

8,095 

25,320 

5,195 

340 

159 

385 

1,789 

4,225 

7,922 

24,406 

4,209 

245 

295 

443 

2,055 

4,593 

8.129 

23,467 

3,583 

216 

238 

390 

1,782 

4,534 

6,704 

19,159 

2.664 

161 

233 

402 

1.546 

4,471 

5,459 

16,460 

2,066 

170 

182 

396 

1,404 

4.471 

4.469 

14.274 

1.844 

131 

144.313 
100.0 

564.488 
100.0 

7.187 

5.0 

80.969 

14.3 

23,818 
16.5 

192.227 
34.1 

120,495 
83.5 

372,261 
65.9 

480 

,3 

5,393 

1.0 

1,617 

1.1 

22.365 

4.0 

5,090 

3.5 

53,211 

9.4 

4,330 

3.0 

35.526 

6.3 

5,743 

4.0 

38,950 

6.9 

6,558 

4.5 

36.782 

6.5 

7,386 

5.1 

35,395 

6.3 

6,944 

4.8 

28,688 

5.1 

6,652 

4.6 

24,155 

4.3 

6,453 

4,5 

Propertv  crime*        

20,718 

3.7 

708.801 
100.0 

88,156 
12.4 

216.045 
30.5 

492.756 
69,5 

5.873 
,8 

23.982 
3.4 

58,301 

8,2 

39.856 
5,6 

44,693 
6,3 

43.340 
6,1 

42,781 
6.0 

35,632 
5.0 

30,807 
4.3 

27.171 

3.8 

255,512 

26,302 

106,778 

3,416 

46,330 
92,''83 

52,482 

7,327 

26,648 

209,865 

1,882 

34.940 
579.007 

168,337 

198,261 

179,532 

5,085 

784,822 
2,485 

24,541 
47,604 

16.431 

299 

414 

19 

3,946 
22,357 

3,526 

40 

2,576 

2,024 

34 

411 
154 

3,630 

685 

1 3,362 

282 

29.589 
332 

7.557 
19.969 

41.671 

2.172 

2.111 

196 

1 3.370 
44,965 

11.690 

207 

5,115 

14.791 

126 

1.155 
5.688 

44.189 
5.736 

38.540 
1,031 

87,678 
885 

24.541 
47.604 

213.841 

24,130 

104,667 

3.220 

32.960 
47.818 

40,792 

7.120 

21,533 

195,074 

1,756 

33,785 
573,319 

124,148 

192,525 

140,992 

4,054 

697,144 
1,600 

1.145 
17 
38 

2 

123 
2.923 

142 

270 
40 

1 

79 
47 

64 

25 

1,061 

12 

2,475 
33 

142 
584 

4.489 

58 

64 

3 

694 

7.253 

700 

11 

693 

217 
6 

84 
19 

263 

49 

3,394 

57 

7,111 
63 

1,239 
3,467 

10,797 

224 

312 

14 

3,129 
12.181 

2.684 

29 

1,613 
1,767 

27 

248 
88 

3,303 
611 

8,907 
213 

20,003 
236 

6,176 
15,918 

7.482 

362 

286 

20 

2.593 
7.249 

2.230 

34 

881 

2.434 

24 

231 
219 

6.121 
853 

7,105 
200 

16,058 
184 

5,782 
12,574 

8.563 

589 

554 

60 

3,335 
8,128 

2,793 

50 

873 

4,160 

30 

242 
1,353 

12,914 

1,543 

8,480 

284 

19,467 
197 

6,871 
10,636 

9.195 

922 

857 

97 

3,496 
7,231 

3,141 

83 

785 

6,173 

38 

271 
3,962 

21,524 

2,655 

9,593 

265 

22,564 
172 

4,331 
4,425 

9,426 

1,310 

2,291 

176 

3,813 
5,573 

3,633 

159 

896 

10,059 

58 

816 
10,811 

29,626 

5,778 

10,266 

342 

32,432 
175 

9,725 

1,493 

3,298 

192 

3,145 
4,542 

3,210 

197 

831 

11,096 

44 

803 
14,842 

28,539 

6,506 

9,566 

269 

37,900 
127 

10,085 

1,481 

4,467 

187 

2,601 
3,851 

2,842 

252 

835 

11,594 

44 

967 
19,179 

24,450 

7,188 

9,451 

249 

40,854 
113 

10.390 

1.410 

4,799 

179 

stolen  properly;  buying,  receiving. 

2,176 

3,382 

iVeapons;  carrying. 

2,671 

I'rostitution  and 
commercialized  vice    

301 

795 

11,085 

35 

Dffenses  agamsl  family  and 

1,207 

3ri\ing  under  the  influence  

25.984 
5.917 

8.746 

9.567 

v'agrancy 

201 

\ll  other  offenses  (except 
tratTic)     

39,820 

103 

Turfew  and  loitering  law 

See  footnotes  at  end  of  table 


263 


Table  64. — Suburban  Area'  Arrests.  Distribution  by  Age,  1991 — Continued 


Age 

Offense  charged 

22 

23 

24 

25-29 

30-34 

35-39 

40-44 

45^9 

50-54 

55-59 

60-64 

65  and 
over 

TOT\L  

138.492 
3.9 

131.878 

128,471 
3.6 

603,875 
16.9 

496,278 
13.9 

328,972 
9.2 

200.952 
5.6 

108J64 
3.1 

61,639 

1.7 

35,952 
1.0 

23,157 
.6 

24,790 

.7 

Murder  and  nonn^ligent 

189 

319 

1,216 

4,057 

3,746 

12,085 

1,440 

110 

149 

333 

1.062 

3.969 

3.266 

11.183 

U62 

104 

114 

313 
1.046 
3.844 
2.981 
10.393 
1.102 
108 

569 
1,560 

4.234 
19.244 
12.799 
50.274 

4,366 
512 

489 

1,273 

2.922 

15.917 

8.909 

43,591 

2.941 

420 

284 

846 

1.504 

10.386 

5.138 

30.929 

1.660 

291 

224 

563 

705 

6.393 

2.378 

19.073 

862 

193 

121 
268 
269 
3.488 
959 
10.242 
433 
108 

106 
169 
118 

1,841 
408 

6,079 
180 
55 

38 

92 

59 

1.052 

231 

4.123 

105 

39 

30 
56 
29 
706 
114 
3.151 
46 
22 

56 

66 

Robben   

37 

735 

Burclan'                 

115 

4.687 

66 

26 

5,781 

4.0 

17,381 

3.1 

5.513 

3.8 

15,815 

2.8 

5.317 

3.7 

14.584 

2.6 

25,607 
17.7 

67.951 
12.0 

20.601 

14.3 

55.861 

9.9 

13,020 

9.0 

38.018 

6.7 

7,885 

5.5 

22.506 

4.0 

4,146 

2.9 

11,742 

2.1 

2^34 
1.5 

6,722 
1.2 

1.241 
.9 

4.498 
.8 

821 

.6 

3,333 

.6 

894 

.6 

Property'  crime*      

4,894 

.9 

23,162 
3.3 

21.328 
3.0 

19.901 

2.8 

93,558 
13.2 

76.462 
10.8 

51.038 

7.2 

30,391 

4.3 

15,888 

2.2 

8,956 
1.3 

5,739 
.8 

4,154 
.6 

5,788 

.8 

Other  assaults                         

9,623 

1,181 

4.842 

148 

1.840 
2,621 

2.286 

313 

737 

10.029 

38 

1.153 
24,769 

3,881 

7,833 

7.962 

180 

35.826 
68 

9,648 

1,059 

4.925 

141 

1,633 
2,404 

2.034 

340 

755 

9.800 

35 

1,166 
24,698 

3,174 

7.455 

7,062 

163 

33.990 
68 

9,852 

1,069 

5,019 

133 

1.545 
2,129 

1,843 

346 

796 

9.540 

42 

1,343 
24,466 

2,571 

7.257 

6.569 

176 

33,791 
83 

47.978 

531 

2331 

659 

6.060 
9.287 

7,389 

1,905 

3,896 

45.337 
192 

7,389 
124,078 

9.738 

37.099 

28,077 

716 

151,645 
300 

39.749 

4.199 

19.855 

544 

4.353 
6,294 

5,765 

1,520 

3,825 

36,374 

237 

7,321 
107.872 

5,452 

34,607 

21.164 

654 

118.803 
228 

25.004 

2.886 

14.050 

353 

2.743 
3.598 

3.520 

820 

2.787 

21.594 

188 

5.388 
74,254 

3.925 

26.415 

13J44 

465 

76,562 
138 

14.781 

1.524 

8.691 

249 

1,507 
1,921 

2,301 

437 

1,955 

10,742 

194 

3,282 
50,478 

2,466 

17.312 

8.048 

280 

44.303 
90 

7.727 
633 

4.449 
133 

712 
955 

1.374 

224 

1.197 

4.404 

179 

1,508 
29,760 

1,363 

10,554 

4J45 

155 

23,449 
55 

4.373 

295 

2.219 

53 

411 
556 

798 

137 

813 

1.830 

168 

713 
18.048 

854 

6.489 

2.411 

97 

12,393 
25 

2.446 

149 

1,181 

38 

190 

276 

472 

75 

496 
819 
132 

346 
10,880 

514 

4,090 

1,354 

41 

6,705 
9 

1.417 

87 

597 

11 

114 
187 

306 

35 

398 

419 

80 

192 
6.962 

371 

2.715 

901 

27 

4.177 
7 

1.617 

63 

703 

24 

117 

242 

Weapons;  carrying. 
poss**ssing  **Tr                    

348 

59 

Sex  offenses  (except  forcible 
rape  and  proslilution)      

521 

352 

90 

191 

6438 

Liquor  laws                  

307 

2,481 

1,105 

39 

,\11  other  offenses  (except 

4,494 

11 

Curfevi  and  loitering  law 

Runaways   -- 

'Includes  suburban  city  and  counts  la*  enforcement  agencies  »iihm  metropolitan  areas.  Excludes  central  cities.  Suburban  ciues  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  assaulL 

'Property  cnmes  are  offenses  of  burglary,  larceny-theft,  motor  vehicle  theft,  and  arson. 

^Includes  arson. 


264 


Table  65. — Suburban  Area'  Arrests  of  Persons  under  IS,  18,  21  and  25  Years  of  Age,  1991 
[4.786  agencies;  1991  estimated  population  76.506.000) 


Offense  charged 


Total 
all  ages 


Number  of  persons  arresled 


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  thefi   

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  


3,562,740 


3.724 

8,981 

26.261 

105.347 

104.900 

409.576 

44.204 

5.808 


144.313 

564.488 


708.801 


255,512 
26.302 

106.778 

3.416 

46.330 

92.783 

52.482 

7.327 

26.648 

209.865 

1.882 

34,940 

579,007 

168.337 

198.261 

179.532 

5.085 

784.822 

2.485 

24.541 

47.604 


215,793 


609,506 


1,123  J«l 


1,678,161 


6.1 


17.1 


45 

528 

1,697 

4.917 

15.702 

57,707 

5,395 

2.165 


407 

1.492 

6,273 

15.646 

39,095 

130.406 

19,584 

3.142 


1.173 

2.727 

11,656 

29.244 

59.387 

189,492 

27.897 

3,689 


1,807 
4,088 
16.384 
45.585 
73.849 
237.427 
33.545 

4.u: 


1.2 
5.9 
6.5 
4.7 
15.0 
14.1 
12.2 
3~-3 


10.9 
16.6 
23.9 
14.9 

37.3 
31.8 

44.3 
54.1 


7.187 
80.969 


23.818 

192.227 


44.800 
280.465 


67,864 
348.963 


5.0 
14  3 


16.5 
34.1 


88.156 


216.045 


325.265 


416.82" 


12.4 


30.5 


16,431 

299 

414 

19 

3.946 

22.357 

3,526 

40 

2,576 

2.024 

34 

411 

154 

3.630 

685 

13.362 

282 

29.589 

332 

7.557 
19.969 


41.671 
2.172 
2.111 
196 
13.370 
44.965 
11.690 

207 

5.115 

14.791 

126 

1.155 

5,688 

44.189 

5.736 
38.540 

1.031 

87.678 

885 

24.541 

4". 604 


70,907 
6.456 
12,167 
751 
22.929 
58,931 
21,375 

815 

7.677 

47.540 

272 

3.741 

50.520 

126.804 
25.208 
67.823 
1.891 
198.864 
1.300 
24.541 
4".604 


110.420 
11,175 
31,752 
1.352 
30,123 
69,467 
30.209 

2.115 

10,760 

87.994 

422 

8,610 

150,437 

142,347 

56.499 

98.983 

2.611 

342.291 

1.622 

24.541 

47.604 


6.4 

l.I 

.4 
.6 

8.5 
24.1 

6.7 

.5 
9.7 
1.0 
1.8 
1.2 


2.2 

.3 

7.4 

5.5 

3.8 

13.4 

30.8 

41.9 


16.3 
8.3 
2.0 

5.7 
28.9 
48.5 
22.3 

2.8 
19.2 
7.0 
6.7 
3.3 
1.0 

26.3 

2.9 

21.5 

20.3 

11.2 

35.6 

100.0 

100.0 


31.5 


31.5 
30.4 
44.4 
27.8 
56.6 
46.3 
63.1 
63.5 


31.0 
49.7 


45.9 


27.8 
24.5 
11.4 
22.0 
49.5 
63.5 
40.7 

11. 1 
28.8 
22.7 
14.5 
10.7 
8.7 

75.3 
12.7 
37.8 
37.2 
25.3 
52.3 
100.0 
100.0 


47.1 


48.5 
45.5 
62.4 
43.3 
70.4 
58.0 
75.9 
71.3 


47.0 
61  8 


58.8 


43.2 
42.5 
29.7 
39.6 
65.0 
74.9 
57.6 

28.9 
40.4 
41.9 
22.4 
24.6 
26.0 

84.6 
28.5 
55.1 
51.3 
43.6 
65.3 
100.0 
100.0 


'Includes  suburban  city  and  county  lav^  enforcement  agencies  Nh-ithin  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. 

'Properly  cnmes  are  offenses  of  burglary,  larceny-theff.  motor  vehicle  theft,  and  arson. 

^Includes  arson. 

*Less  than  one-tenth  of  1  percent 


265 


Table  66. — Suburban  Area'  Arrests,  Distribution  by  Sex,  1991 

[4,786  agencies;   1991  estimated  population  76,506,0001 


Offense  charged 


Number  of  persons  arrested 


Total 


Male 


Female 


Percent 
male 


Percent 
female 


Percent  distribution' 


Total 


Male 


Female 


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 

Curfew  and  loitering  law  violations   

Runaways 


3,562,740 


3.724 

8.981 

26,261 

105.347 

104.900 

409.576 

44.204 

5,808 


144,313 
564.488 


708,801 


255.512 
26.302 

106.778 

3,416 

46.330 

92.783 

52.482 

7,327 

26,648 

209.865 

1,882 

34,940 
579.007 

168,337 

198,261 

179,532 

5,085 

784,822 

2,485 

24,541 

47.604 


2,896,028 


666,712 


81.3 


18.7 


100.0 


3,323 

8,850 

24,244 

92,201 

96,011 

277,828 

39,619 

5,146 


401 

131 

2,017 

13,146 

8,889 

131,748 

4,585 

662 


89.2 
98.5 
92.3 
87.5 
91.5 
67.8 
89.6 
88.6 


10.8 
1.5 

7.7 
12  5 

8.5 
32.2 
10.4 
11.4 


.1 

.3 

.7 

3.0 

2.9 

11.5 

1.2 

.2 


128,618 
418,604 


15,695 
145.884 


89.1 

74.2 


10.9 

25.8 


4.1 
15.8 


547.222 


161.579 


77.2 


22.8 


19.9 


212.475 
16.857 
55.867 
2.099 
40.494 
83.424 
49,016 

3,249 

25,338 

174,863 

1,603 

30,583 
499,607 

135,554 

177,052 

146,575 

4,471 

648,529 

2,051 

17.896 

21.203 


43,037 
9,445 

50,911 
1,317 
5,836 
9,359 
3,466 

4.078 

1.310 

35.002 

279 

4,357 
79,400 

32,783 

21,209 

32,957 

614 

1 36,293 

434 

6,645 

26,401 


83.2 
64.1 
52.3 
61.4 
87.4 
89.9 
93.4 

44.3 

95.1 
83.3 
85.2 
87.5 
86.3 

80.5 
89.3 
81.6 
87.9 
82.6 
82.5 
72.9 
44.5 


16.8 
35.9 
47.7 
38.6 
12.6 
10.1 
6.6 

55.7 


7.2 
.7 
3.0 
.1 
1.3 
2.6 
1.5 


4.9 

.7 

16.7 

5.9 

14.8 

.1 

12.5 

1.0 

13.7 

16.3 

19.5 

4,7 

10.7 

5.6 

18.4 

5.0 

12.1 

.1 

17.4 

22.0 

17.5 

.1 

27.1 

.7 

55.5 

1.3 

100.0 


.1 

.3 
.8 

3.2 
3.3 
9.6 
1.4 
.2 


4.4 
14.5 


18.9 


7.3 
.6 
1.9 
.1 
1.4 
2.9 
1.7 

.1 

.9 
6.0 

.1 

1.1 

17.3 

4.7 
6.1 
5.1 

2 

22.4 

.1 

.6 

.7 


100.0 


.3 
2.0 
1.3 
19.8 
.7 
.1 


2.4 
21.9 


24.2 


6.5 

1.4 
7.6 
.2 
.9 
1.4 
.5 


.2 
5.2 


4.9 

3.2 

4.9 

1 

20.4 

.1 

1.0 

4.0 


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

'Because  of  rounding,  the  percentages  may  not  add  to  lotal. 

^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. 


266 


Table  67. — Suburban  Area'  Arrests,  Distribution  by  Race,  1991 

[4,758  agencies;  1991  estimated  population  76,081.000] 


Offense  charged 


Total  arrests 


Total 


White 


Black 


American 

Indian 

or 

Alaskan 
Native 


Asian 

or 
Pacific 
Islander 


Percent  distribution' 


Total 


White 


Black 


American 
Indian 

or 
Alaskan 
Native 


Pacific 
Islander 


TOTAL    

Murder  and  nonnegligent  manslaughter 

-orcible  rape 

Jobbery  

\ggravated  assault  

lurglary  

.arceny-theft  

Aotor  vehicle  Iheft    

Uson    

Violent  crimc^    

Property  crime*  

Crime  Index  total'  

)ther  assaults    

orgery  and  counterfeiting  

■raud    

imbezzlement    

■tolcn  property;  buying,  receiving, 

possessing    

'andalism    

|»Veapons;  carrying,  possessing,  etc 

I  'roslilution  and  commercialized  vice  . 
■ex  offenses  (except  forcible  rape  and 

prostitution)   

)rug  abuse  violations  

jambling 

)ffen5cs  against  family  and  children  . . 
)ri\ing  under  the  influence   

.iquor  laws  

>runkenness  

>isorderly  conduct   

'agrancy  

.11  other  offenses  (except  traffic)    

uspicion    

'urfew  and  loitering  law  violations  ... 
;unaways  


3,544,687 


3.712 

8.921 

26.103 

104.892 

104.411 

407.455 

44,047 

5.770 


143,628 
561,683 


705,311 


254.475 

26,038 

106,424 

3,406 

46,090 
92.460 
52.270 

7.299 

26.499 

209.279 

1.879 

34.309 
577.006 

167.300 

197.812 

177.951 

5.061 

779.660 

2.462 

24.323 

47.373 


2.788.239 


723.238 


15,583 


17,627 


100.0 


78.7 


20.4 


2.385 

6.154 

12.624 

76.614 

82.011 

291.845 

30.374 

4.987 


1.274 

2.674 

13.213 

27.005 

21.350 

110.031 

13,083 

719 


19 

44 

105 

654 

444 

1.772 

236 

23 


34 

49 

161 

619 

606 

3,807 

354 

41 


100,0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


64,3 
69.0 
48.4 
73.0 
78.5 
71,6 
69.0 
86.4 


34.3 
30.0 
50.6 
25,7 
20,4 
27.0 
29.7 
12.5 


97.777 
409,217 


44.166 
145.183 


822 
2.475 


863 
4.808 


100,0 
100.0 


68.1 
72.9 


30.f 
25.i 


506.994 


189.349 


3.297 


5.671 


100.0 


71,9 


26.8 


190,482 

18,716 

78,903 

2,465 

30.857 
78.499 
36,486 

5,205 

22,811 

148,677 

1.204 

23.999 
531.182 

154.229 

174.222 

1 39.633 

3.775 

576.381 

1,852 

20,848 

40,8  1 9 


61,521 

7,090 

26,871 

913 

14.737 
13.276 
15,241 

1.946 

3.444 

59.700 

609 

10,166 

40,712 

1 1 .645 

21,324 

37.021 

1.246 

196.625 

595 

3.253 

5.954 


1,277 

76 

287 

15 

166 
280 
180 

41 

93 

428 

4 

70 
2,186 

845 

1.731 

701 

23 

3.474 

8 

96 

305 


1.195 

156 

363 

13 

330 
405 
363 

107 

151 

474 

62 

74 

2.926 

581 

535 

596 

17 

3.180 

7 

126 

295 


100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 

100.0 

100.0 
100.0 
100.0 
100.0 
100.0 

100.0 
100.0 
100.0 
100.0 
100,0 
100.0 
100.0 
100.0 


74.9 
71.9 
74.1 
72.4 

66,9 
84.9 
69.8 

71.3 

86.1 
71.0 
64  I 

69.9 
92.1 

92.2 
88.1 
78.5 
74.6 
73,9 
75.2 
85.7 
86,2 


24.2 
27,2 
25,2 
26,8 

32,0 
14.4 
29,2 

26.7 

13,0 
28.5 
32.4 
29.6 
7,1 

7.0 
10.8 
20.8 
24.6 
25.2 
24.2 
13.4 
12.6 


.5 
.6 
.3 
.4 

.7 
.4 
,7 

1,5 


3.3 

.2 
.5 

.3 

,3 
,3 
,3 
.4 
.3 
.5 
.6 


See  footnotes  at  end  of  table. 


267 


Table  67. — Suburban  Area'  Arrests,  Distribution  by  Race,  1991 — Continued 


OfTense  charged 


Arrests  under  18 


Total 


White 


Black 


American 
Indian 


Alaskan 
Native 


Pacific 
Islander 


Percent  distribution' 


Total 


White 


Black 


American 
Indian 

or 
Alaskan 
Native 


Asian 


Pacific 
Islander 


TOTAL    

Murder  and  nonnegligent  manslaughter 

Forcible  rape    

Robbery  

Aggravated  assault  

Burglary  

Larceny-theft  

Motor  vehicle  theft    

Arson    

Violent  crime'    

Property  crime*   

Crime  Index  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    

Curfew  and  loitering  law  violations  . . . 
Runaways  


606,616 


406 

1.485 

6,254 

15,599 

38,965 

129,849 

19.530 

3.129 


23.744 
191,473 


215,217 


41,540 

2,168 

2,103 

196 

1 3,304 
44,841 
11,642 

207 

5,086 

14,751 

126 

1.132 

5.662 

43.956 
5.716 

38.274 
1.030 

87.097 
872 

24,323 

47,373 


486.028 


113,207 


2,715 


4,666 


100.0 


80.1 


18.7 


220 

1.008 

2,962 

10,824 

32,473 

100,514 

13,411 

2,773 


177 

468 

3,209 

4,585 

5.978 

27.185 

5.781 

313 


3 

1 

28 

84 

185 

617 

113 

10 


55 

106 

329 

1.533 

225 

33 


100.0 
100,0 
100.0 
100.0 
100.0 
100.0 
100.0 
100.0 


54.2 
67,9 
47,4 
69.4 
83,3 
77.4 
68.7 
88,6 


43.6 
31,5 
51,3 
29,4 
15,3 
20.9 
29,6 
10,0 


15,014 
149,171 


8,439 
39,257 


116 
925 


175 
2,120 


100,0 
100,0 


63,2 
77.9 


35,5 
20,5 


164,185 


47.696 


1,041 


2,295 


100.0 


76,3 


22.2 


30.278 

1.849 

1,601 

149 

9,020 

39,380 

8,660 

144 

4,161 

9,774 

44 

977 

5,406 

41,961 

5,315 

29,675 

866 
70,230 

686 
20,848 
40,819 


0,795 

194 

282 

6 

471 

8 

46 

4,077 

65 

5,100 

120 

2.774 

51 

58 

886 

4.899 

82 

148 

208 

1,604 
334 

8.286 

157 

15.915 

182 

3.253 

5.954 


273 

31 

23 

1 

142 
241 
157 


4 

22 

216 

49 

128 

2 

349 

3 

96 

305 


3 
26 

175 

18 

185 

5 

603 

1 

126 

295 


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 

100,0 
100,0 
100,0 
100,0 
100,0 
100,0 
100,0 
100,0 


72,9 
85,3 
76,1 
76,0 

67,8 
87.8 
74,4 

69,6 

81,8 
66,3 
34.9 
86.3 
95.5 

95,5 
93.0 
77.5 
84.1 
80,6 
78,7 
85,7 
86,2 


26,0 
13,0 

22,4 
23,5 

.30,6 
11.4 
23,8 

28,0 


17,4 

33,2 

65,1 

13,1 

3,7 

3,6 

5,8 

21,6 

15,2 

18,3 

20,9 

13,4 

12,6 

1,5 
,5 
,9 
,7 
,8 
1.2 
1.2 
1,1 


.7 
1,1 


,7 
1,4 
1,1 

,5 

1,1 
,5 
1.3 

1.0 

.4 
.3 


See  footnotes  at  end  of  table. 


268 


Table  67. — Suburban  Area'  Arrests,  Distribution  by  Race,  1991 — Continued 


Offense  charged 


TOTAL 


Murder  and  nonnegligent  manslaughter 

Forcible  rape    

Robbery  

Aggravated  assault  

Burglary  

Larceny-theft  

Motor  vehicle  thefl    

\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 
Sc\  offenses  (except  forcible  rape 

and  prostitution)    

Drug  abuse  violations  

Gambling    

Offenses  against  family  and  children  . 
Driving  under  the  influence    


I  iquor  laws  

I  )runkenness  

Disorderly  conduct    

Vagrancy  

All  other  offenses  (except  traffic)    .. 

Suspicion    

Curfew  and  loitering  law  violations 
Runaways  


2.938,071 


3,306 

7.436 

19.849 

89.293 

65.446 

277.606 

24.517 

2,641 


119.884 
370.210 


490.094 


212.935 

23.870 

104,321 

3.210 

32.786 
47.619 
40.628 

7.092 

21,413 

194.528 

1.753 

33.177 
571.344 

123,344 
192.096 
139.677 

4.031 
692,563 

1.590 


Arrests  18  and  over 


White 


2,302,211 


2.165 

5.146 

9.662 

65,790 

49,538 

191,331 

16.963 

2,214 


82.763 
260,046 


342.809 


160,204 

16,867 

77.302 

2.316 

21.837 
39,119 
27.826 

5.061 

18,650 

1 38,903 

1.160 

23,022 

525.776 

112,268 
168,907 
109,958 

2.909 
506,151 

1.166 


Black 


610.031 


1.097 

2,206 

10,004 

22,420 

15,372 

82,846 

7.302 

406 


35,727 
105,926 


141,653 


50.726 

6,808 

26.400 

867 

10,660 
8,176 
12.467 

1.888 

2,558 

54,801 

527 

10,018 

40.504 

10.041 

20.990 

28.735 

1.089 

180.710 

413 


American 
Indian 


Alaskan 
Native 


12.868 


16 
43 

77 

570 

259 

1.155 

123 

13 


706 
1,550 


2,256 


1.083 

70 

279 

15 

101 
160 
129 

38 

76 

392 

4 

66 

2.164 

629 

1,682 

573 

21 

3.125 

5 


Asian 


Pacific 
Islander 


12,961 


28 

41 

106 

513 

277 

:,274 

129 


2,688 


3,376 


922 

125 

340 

12 

188 
164 
206 

105 

129 

432 

62 

71 

2.900 

406 

517 

411 

12 

2.577 
6 


Percent  distribution^ 


Total 


100.0 


100,0 
100.0 
100,0 
100.0 
100.0 
100.0 
100.0 
100.0 


100,0 
100,0 


100.0 


100.0 
100.0 
100.0 
100,0 

100,0 
100.0 
100.0 

100,0 

100,0 
100,0 
100,0 
100.0 
100.0 

100  0 
100.0 
100.0 
100,0 
100,0 
100.0 


White 


78.4 


65.5 
69.2 
48.7 
73.7 
75.7 
68.9 
69,2 
83.8 


69.0 

70,2 


69.9 


75,2 
70.7 
74.1 
72,1 

66.6 
82.1 
68.5 

71.4 

87.1 
71.4 
66.2 
69.4 
92.0 

91.0 
87,9 
78.7 
72.2 
73.1 
73.3 


Black 


20.8 


33.2 
29.7 
50.4 
25.1 
23.5 
29.8 
29,8 
15,4 


29.8 
28,6 


28.9 


23,8 
28.5 
25.3 
27,0 

32.5 
17.2 
30.7 

26.6 

11,9 
28.2 
30.1 
30.2 
7.1 

8.1 
10.9 
20.6 
27.0 
26,1 
26.0 


American 
Indian 


Alaskan 
Native 


Asian 


Pacific 
Islander 


.4 
.5 
.3 
.4 

.6 
.3 
.5 

1.5 


3.5 
.2 
.5 

.3 
.3 
.3 

.3 

.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. 


269 


Table  68.— Arrests  by  State,  1991 

(1991  estimated  population]  Leaders  indicate  zero  data. 


Stale 

Total' 

all 
classes 

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 

Other 
assaults 

Forgery 

and 
counter- 
feiting 

Fraud 

ALABAMA:  225  agencies; 
population  2.939.000: 

11,779 
151,698 

5.144 
34.427 

54.467 
253.075 

15.936 
166.551 

244.122 
1.727.564 

50.840 
236.463 

19.791 
141.598 

5.970 
41.532 

4.799 
55.669 

27,050 
281.548 

16.765 
62.985 

13.521 
41,431 

68.892 
294.019 

33.399 
146.888 

5.126 
29.323 

2,778 
7,547 

21,113 
60.264 

6.035 
24.366 

109.423 
429.656 

16.930 
45.047 

7.898 
35.944 

2.180 
8.428 

1.869 
11.850 

10.166 
58,375 

4,899 
12,343 

5.407 
10.662 

23.600 
69,437 

11.215 
31.320 

723 
8.467 

130 
1.073 

2.093 
9,991 

772 
5,107 

20.607 
142.536 

1.723 
8.492 

983 

7.897 

364 
2.059 

666 
4.707 

1.872 
15.670 

267 
1.190 

443 
2.254 

2.440 
11,201 

1.478 
6.978 

4.403 
20,856 

2.648 
6.474 

19.020 
50,273 

5.263 
19.259 

88.816 
287.120 

15.207 
36.555 

6.915 
28.047 

1.816 
6.369 

1.203 
7.143 

8.294 
42,705 

4.632 
11.153 

4.964 
8.408 

21.160 
58.236 

9.737 
24.342 

40 
395 

1 
17 

31 
249 

38 

278 

696 

3,747 

25 
192 

25 
148 

3 
35 

31 
311 

55 
547 

9 
50 

3 
22 

42 
307 

14 

191 

31 
368 

10 
113 

77 
423 

62 
423 

664 
4,405 

86 
549 

56 
402 

42 
244 

27 
122 

101 

897 

tt 
155 

13 
110 

250 
1 ,056 

27 
237 

193 
1.409 

24 
139 

490 
1,723 

245 
971 

7,947 
31.298 

245 
973 

272 
1.638 

86 

457 

175 
1.409 

536 

3.735 

123 
390 

28 
93 

549 
1.946 

198 

875 

459 
6.295 

95 
804 

1.495 
7.596 

427 
3.435 

11.300 
103.086 

1.367 
6.778 

630 
5.709 

233 
1.323 

433 
2,865 

1,180 
10.491 

113 
595 

399 
2.029 

1.599 
7.892 

1.239 
5.675 

829 
3.598 

404 

827 

4,000 
8.483 

1.294 
3.596 

24.792 

77.732 

1.991 
4.174 

1,194 
4,786 

434 
1.295 

95 
1.198 

1.720 
7.971 

907 
1,703 

877 
1,657 

3,084 
7,453 

1.296 
2,953 

3.319 
15.928 

1.970 
5.167 

12.962 
38.364 

3.603 
14.851 

44.296 
161.290 

11.807 
29.582 

4.542 
20.938 

1.244 

4.722 

226 
3.281 

5.411 
31.060 

3.058 
8,142 

3,758 
6,287 

16.931 
48.521 

7.380 
19,317 

242 
1,217 

266 
462 

1,860 
3,056 

340 
702 

18,507 
46,021 

1.180 
2.371 

1,090 
2,110 

95 
250 

879 
2,626 

1,070 
3,355 

635 
1,254 

280 
390 

906 
1,807 

993 
1.933 

13 

113 

8 
18 

198 
370 

26 

no 

1.221 
2,077 

229 
428 

89 
213 

43 
102 

3 
38 

93 
319 

32 
54 

49 

74 

239 
455 

68 
139 

758 
15.690 

207 
3.007 

3.948 
24.170 

675 
6,243 

19.713 
77.161 

3,378 
22.507 

1.378 
10.581 

753 
5.433 

292 
2.780 

1.933 
18.221 

1.481 
3,868 

464 
2.413 

7.284 
43.990 

1.058 
7.039 

29 
1.110 

15 
94 

150 
1.160 

125 
1.536 

967 
11.264 

176 
1.254 

37 
746 

25 
564 

8 
376 

119 
3,740 

18 
441 

57 
276 

1-65 
1.755 

46 
616 

67 

11.021 

ALASKA:  21  agencies; 
population  533.000; 

12 

131 

ARIZONA:  84  agencies; 

population  3.654.000: 

Under  18  

120 

1.521 

ARKANSAS:   175  agencies; 
population  2,337.000; 

164 

18.722 

CALIFORNIA:  691   agencies; 
population  30.058.000: 

781 

Total  all  ages  

COLORADO:  207  agencies; 
population  2,990.000; 

10.972 
191 

4,002 

CONNECTICUT:  79  agencies, 
population  2.214,000; 

24 

2,202 

DELAWARE:  48  agencies; 

population  678.000; 

Under  18     

102 

2.093 

DISTRICT  OF  COLUMBIA:   1 

agency; 

population  598.000: 

Under  18 

5 

4.10 

FLORIDA:' 

GEORGIA:  235  agencies; 

population  4.768.000: 

Under  18                               .        . 

244 

11,348 

HAWAII:  5  agencies; 
population  1.135,000: 
Under  18        

44 

514 

IDAHO:  75  agencies; 

population  871,000: 

Under  18  

19 

358 

ILLINOIS:  454  agencies; 

population  7.634,000: 

Under  18  

119 

795 

INDIANA:  108  agencies; 

population  3,187,000; 

Under  18  

48 

Total  all  ages  

1,459 

See  footnotes  at  end  of  table. 


270 


Table  68.— Arrests  by  State,  1991— Continued 


EmbezzJc- 
menl 


Stolen 
properly: 

buying, 
receiving, 
possessing 


Vandalism 


Weapons; 

carrying, 

possessing 

etc- 


Prosli- 
tution 

and 
commer- 
cialized 

vice 


Sex 
offenses 
(except 
forcible 
rape  and 
prostitution 


Drug 

abuse 

Violations 


Gambling 


Offenses 

against 

family 

and 

children 


Driving 
under  the 

influence 


Liquor 
laws 


Drunken- 
ness' 


Disorderly 
conduct 


Vagrancy 


All  other 
ofTenses 
(except 
irafllc) 


Suspicion 


Curfew 

and 
loitenng 

la« 
violations 


Runaways 


452 
1,969 


473 
.1,035 


27 
276 


115 
1,343 


29 
310 


II 

397 


200 
223 


22     316 
66    1,068 


667 
2.020 


556 
2,426 


7,542 
28.090 


294 
729 


52 
257 


202 
509 


44 
658 


764 
5,018 


71 
177 


97 
187 


757 
1,858 


500 
1.151 


3.086 

8.258 


463 
1.616 


17.027 
30,786 


2.794 
7,326 


1,529 
3.937 


309 
1,070 


162 
801 


781 
2.836 


568 
1,288 


1,044 
1,378 


6.059 
14.666 


1.492 
2.630 


343 
1.669 


93 
453 


585 
2.644 


341 
!.609 


8.816 
33.126 


913 
3.530 


522 
2.370 


80 
530 


233 
1.641 


809 

5.535 


106 
693 


965 
4.768 


242 
1.376 


37 
2.336 


25 
289 


207 
19.002 


9 
947 


13 
698 


3 

155 


15 
1.516 


35 
1.520 


3 

542 


13 
1.098 


23 
1.295 


20 
340 


37 
316 


435 
!.698 


52 
504 


2.768 
18.072 


390 
2.280 


164 
659 


36 

291 


27 
306 


219 
2.921 


159 
562 


99 

324 


353 
1,906 


199 
1 ,386 


366 
5,948 


95 
651 


1.346 
14.648 


408 
6.290 


12.617 
210.984 


633 
7.052 


958 
9.675 


350 

2.452 


935 
10.536 


1.470 
20.654 


385 
3.225 


119 
1.398 


1.339 
11,456 


475 
4,881 


3 

2.219 

5 

18 

213 

667 

133 

17 

1.522 

646 

5 

7 

98 

1.266 

53 

102 

1.175 

9 

3 

40 

124 

43 

330 

10 

73 

107 

522 

2.219 

1 

148 

684 

2.770 

1 

39 

4 

199 

28 

14 

309 

1.031 

7 

51 

113 

560 

157 
17.285 


52 
4.877 


266 
29.715 


226 
20.594 


2,358 
307.873 


547 
.34.407 


92 
12.032 


1 

306 


2.729 


402 
41.437 


58 
7.937 


93 
7.981 


368 
32.142 


791 
6.873 


607 
2.110 


6.217 
28,841 


858 
4.832 


5.479 
24.847 


3,746 
15.932 


458 
2,038 


807 
3,488 


6 

125 


1,181 
9.663 


367 
1,654 


1,138 
2.976 


6.466 

28.234 


213 
17.198 


1 50    3.089 
19.162    9.696 


495 
!.684 


4.166 
160.634 


191 
10.590 


50 
180 


131 

1.427 


575 
19.783 


781 
6.016 


38 
948 


2.763 
18.701 


860 
6.908 


6.350 
14.776 


3.004 
17.557 


2.822 
24.721 


372 
1.737 


452 
9.508 


2,298 
26,240 


160 
1,655 


327 
1.340 


4.902 
19,715 


1.356 
6.469 


5 

188 


63 
853 


1.160 
32.286 


804 
12.961 


5.324 
44,428 


39    2.941 
455   43.680 


1.014 
14.102 


9 
1.561 


32 
146 


16 
197 


27 
112 


35 

115 


51 
307 


27.747 

315,826 

8.523 

61.335 

9 

3.334 

33.845 

3 

663 

12.321 

7 

161 

6.489 

5.037 

4.024 

10 

57.947 

67 

4.000 

20.298 

1.320 

II 

8.268 

31 

7.462 

108 

50.370 

213 

5.646 

16 

30.667 

40 

3.670 
3.670 


572 
572 


7.444 
7.444 


4.740 
4.740 


458 
458 


940 
940 


1.187 
1.187 


6.202 
6.202 


2.090 
2.090 


954 
954 


4.650 

4.650 

1.027 

1.027 

9.438 

9,438 

4.506 

4,506 

351 

351 

547 

547 

1.728 

1.728 

3.350 

3.350 

1.976 

1.976 

2,521 

2,521 

4.880 

4,880 

271 


Table  68.— Arrests  by  State,  1991— Continued 


Slate 


Total 

all 

classes 


Crime- 
Index 
total 


Violeni' 
cnme 


Property' 
cnme 


Murder 
and  non- 
negligent 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


Other 
assaults 


Forgery 

and 
counter- 
feiting 


IOWA' 

KANSAS:  157  agencies; 
population  1,900.000: 

Under  18  

Total  all  ages  


KENTUCKY:  466  agencies; 
population  3.417.000: 

Under  18  

Total  all  ages  


LOUISIANA:  6.1  agencies; 
population  2.325.000: 

Under  18  

Total  all  ages  


MAINE:  120  agencies; 
population   1.030.000: 

Under  18  

Total  all  ages  


MARYLAND:  150  agencies; 
population  4,858,000; 

Under  18  

Total  all  ages  


MASSACHUSETTS: 

agencies; 

population  3.437.000: 

Under  18  

Total  all  ages  


173 


MICHIGAN:  467  agencies; 
population  8.623.000; 

Under  18  

Total  all  ages  


MINNESOTA:  288  agencies; 
population  3.774.000; 

Under  18  

Total  all  ages    


MISSISSIPPI:  51  agencies; 
population  853,000: 

Under  18  

Total  all  ages   


MISSOURI:  172  agencies; 
population  3.168,000: 

Under  18  

Total  all  ages  


MONTANA:  55  agencies; 
population  592,000: 

Under  18  

Total  all  ages  


NEBRASKA:  241   agencies; 
population   1,559,000: 

Under  18  

Total  all  ages  


NEVADA:  17  agencies; 
population  866,000: 

Under  18  

Total  all  ages  


NEW   HAMPSHIRE: 

agencies; 
population  876,000: 

Under  18  

Total  all  ages  


20,182 
113,399 


16,981 
230,075 


21,835 
130,511 


8,460 
46.838 


40,840 
267,632 


12,782 
113,488 


54,414 
401,335 


35,059 
136.192 


8,253 
64,278 


33,363 
243,918 


5,982 
20,418 


15,415 
80,801 


9,568 
67,798 


5,535 

31,772 


NEW  JERSEY:  493  agencies; 
population  6,834.000: 

Under  18  

Total  all  ages  

See  footnotes  at  end  of  table 


80,904 
352,947  I 


8,275 
22.497 


7,315 
33,514 


8,522 
34,761 


4.099 
10,347 


18.823 
63.469 


5,499 
30,861 


23,925 
85,722 


13,536 
30,808 


3,441 
13,210 


11,998 
51.930 


2.376 
5.143 


5,391 
13,515 


3,097 
I  1,862 


1. 711 
5,256 


24,243 
76,707 


689 
3,282 


999 
11,632 


1.465 
9,101 


114 
1,012 


3,025 
13,793 


1,730 
11,975 


3,518 
23,199 


694 
3,022 


339 
2,196 


2,029 
12.500 


76 
373 


225 
1,303 


257 
1,870 


59 
549 


5.145 
20,575 


7,586 
19,215 


6,316 
21,882 


7,057 
25,660 


3,985 
9,335 


15,798 
49,676 


20,407 
62,523 


12,842 
27,786 


3,102 
11,014 


9,969 
39,430 


2.300 
4,770 


5,166 
12,212 


2,840 
9,992 


1,652 
4,707 


19,098 
56,132 


14 
103 


23 
325 


32 
302 


43 
498 


19 
126 


230 
1,965 


55 


159 


116 
533 


53 


44 
312 


40 
244 


55 
615 


190 
1.033 


71 
5.34 


311 

2.247 


58 
316 


220 


121 
695 


24 
226 


205 
1,146 


143 
630 


264 
1.234 


252 
1,328 


25 
101 


1,040 
4,499 


401 
2,195 


1,007 
5,219 


102 
315 


131 
605 


683 
2,961 


71 
269 


109 
785 


1.995 
5,935 


492 
2.305 


657 
9,458 


1,136 
7,061 


76 
827 


1,752 
7,763 


1.239 
9,120 


1,970 
13,768 


529 
2,336 


150 
1,212 


1,109 
8,311 


62 
280 


122 

755 


114 

827 


38 
389 


2.901 
13.182 


1,583 
3,473 


1,540 
5,220 


1,479 
5,168 


824 
1,991 


2,892 
10,989 


941 

4,335 


3,276 
11,190 


1.545 
3,530 


736 
2,214 


1,663 
6,594 


285 
503 


614 
1,426 


605 
2,185 


302 

733 


4,032 
10,446 


5,647 
15,007 


4,138 
14,833 


5,124 
19,200 


2,833 
6,729 


8,218 
30,362 


1,905 
11,908 


15,173 
46,728 


9,991 
21,959 


2,024 
7,936 


6,830 
29.085 


1,758 
3.869 


4,193 
10,050 


1,993 
7,254 


1,261 
3,776 


12,878 
42,044 


267 
529 


522 
1,488 


412 
1,089 


262 
508 


4,287 
7,716 


891 
!,509 


1,758 
4,001 


1,191 
2,105 


332 
799 


1,374 
3,418 


230 
353 


285 
596 


516 


66 
146 


1,910 
3,078 


89 
206 


I  16 
341 


42 
203 


66 
107 


401 
609 


32 
134 


200 
604 


115 
192 


102 
333 


74 
140 


278 
564 


1,487 
10,539 


423 
10,594 


1.573 
10.634 


842 
5.460 


4.227 
28.913 


469 
6.013 


2.641 
19,825 


1,772 
11,313 


680 
6,580 


3.110 
29.464 


321 
2,148 


1,156 
6,144 


511 
6,563 


278 
!,846 


8,192 
33,871 


106 
1,050 


281 
2,974 


74 
1,407 


30 

247 


63 
1,313 


14 
419 


115 
1,434 


309 
1,396 


44 
689 


125 
1,726 


33 
129 


59 
529 


18 

447 


20 
113 


73 
1,018 


272 


Table  68.— Arrests  by  State.  1991— Continued 


Embezzle- 
ment 

Stolen 
property 

buying, 
rcceivmg. 
possessing 

Vandalism 

Weapons. 

carrying. 

possessing 

etc. 

Prosti- 
tution 

and 
commer- 
cialized 

vice 

Se» 
offenses 
(except 
forcible 
rape  and 
prostitution 

Drag 

abuse 

violations 

Gambling 

Offenses 

against 

family 

and 

children 

Driving 
under  the 
influence 

Liquor 
laws 

Dranken- 
ness' 

Disorderly 
conduct 

Vagrancy 

All  other 
offenses 
(except 
trafllc) 

Suspicion 

Curfew 

and 
loitenng 

law 
violations 

Runaways 

2 

94 

1.352 

349 

3 

162 

431 

3 

52 

316 

1,309 

645 

2 

2,329 

21 

722 

2,505 

79 

279 

2.988 

1,386 

571 

912 

5,557 

49 

264 

19.371 

6,603 

32 

3.905 

42 

31,095 

34 

722 

2,505 

3 

886 

1.155 

180 

8 

151 

493 

5 

9 

641 

829 

945 

1.268 

1,870 

152 

196 

609 

3.520 

4,376 

2,645 

527 

2.310 

13,977 

246 

3,198 

38.370 

4,179 

42.451 

14,834 

1 

29,545 



152 

196 

647 

1.104 

367 

5 

1 1 1 

807 

10 

164 

119 

185 

162 

2,056 

67 

3,385 

206 

689 

1,552 

9 

2.330 

3.680 

1.801 

.304 

836 

8,931 

87 

878 

10.728 

647 

5.635 

7,897 

->22 

34.046 

476 

689 

1,552 

1 

107 

853 

25 

5 

81 

116 

5 

105 

359 

15 

143 

1,212 

99 

323 

10 

420 

1.892 

273 

106 

335 

1,643 

2 

192 

8.244 

1,896 

29 

2,041 

1 

12,406 

99 

323 

:9 

61 

2.710 

933 

46 

507 

3,172 

15 

14 

267 

803 

937 

39 

5,457 

93 

712 

1,833 

554 

211 

5.668 

5,073 

1,505 

1.996 

27,585 

202 

1,150 

.30.955 

5,733 

8 

6,192 

202 

79,874 

403 

712 

1,833 

7 

752 

581 

278 

18 

75 

962 

6 

68 

113 

957 

4 

1,122 

18 

1,777 

47 

4 

16 

3.245 

2.235 

1.291 

1.845 

722 

13,347 

217 

1,908 

15,971 

3,656 

23 

8,769 

223 

22,306 

4 

47 

4 

74 

2  167 

3  141 

1  426 

45 

439 

2  408 

26 

748 

3  207 

25 

2  723 

68 

5  915 

1  361 

3  202 

1.156 

10,759 

8.400 

8,116 

3.907 

2.719 

26,570 

391 

1,560 

56,997 

28,185 

235 

25,328 

352 

104,042 

1,361 

3.202 

714 

2,638 

407 

291 

318 

5 

23 

361 

5,938 

1,487 

3,161 

1,909 

1.936 

4 

1.960 

5,062 

1,072 

50 

1,046 

4,361 

73 

375 

24,829 

17,607 

8,016 

15,203 

1,909 

1,936 

12 

87 

160 

261 

3 

29 

241 

48 

43 

103 

256 

189 

711 

3 

1.217 

4 

219 

487 

294 

319 

464 

1,558 

144 

194 

3.457 

301 

329 

8,066 

1,683 

9.796 

4,452 

33 

11.153 

12 

219 

487 

1 

290 

2.268 

991 

22 

259 

1,090 

19 

27 

273 

1,499 

29 

1.107 

->2 

5.136 

131 

1,738 

3,144 

44 

1.715 

8.168 

6,010 

2.175 

2,165 

11,436 

251 

1,816 

23,365 

7,788 

1,200 

10.757 

338 

74,866 

589 

1,738 

3,144 

1 

25 
67 

516 
1.029 

28 
95 

3 
15 

43 
166 

28 
262 

3 

2 
109 

86 
4,230 

1,362 
3,303 

310 

1.752 

364 
1,215 

449 

449 

8 

339 

1.279 

189 

3 

133 

262 

5 

16 

252 

2,369 

611 

6 

2,163 

597 

483 

62 

1.083 

2.937 

1,181 

203 

699 

4,254 

108 

1.005 

14,183 

9,480 

4,772 

10 

17,089 

597 

483 

8 

420 

279 

177 

3 

32 

238 

6 

21 

47 

831 

12 

155 

43 

1,020 

2,363 

252 

254 

1.435 

754 

991 

2.216 

611 

5,159 

22 

381 

5,526 

2,031 

424 

2,142 

2,646 

20,645 

2,363 

252 

1 

142 
519 

299 
833 

18 
97 

2 
17 

40 

325 

114 
1,578 

33 

68 
6,261 

827 
3,550 

173 
1.643 

141 
1,518 

11 

132 

970 
5,963 

93 
93 

38 
38 

584 

50 

584 

8 

4.861 

6,900 

2,024 

50 

537 

4,282 

22 

22 

182 

3,219 

9,924 

49 

9,055 

2,097 

4,925 

100 

11.786 

11,648 

6,008 

2.274 

2,091 

38,246 

247 

12,694 

25.775 

10,544 

36.928 

185 

69,210 

2,097 

4.925 

273 


Table  68.— Arrests  by  State,  1991— Continued 


Tolal' 

all 
classes 


Cnme- 
Index 
lolal 


Violeni' 
cnme 


Properly* 
cnme 


Murder 
and  non- 
negligenl 

man- 
slaughter 


Forcible 
rape 


Robbery 


Aggra- 
vated 
assault 


Burglary 


Larceny- 
theft 


Motor 
vehicle 
theft 


Other 
assaults 


Forgery 

and 
counler- 
feitmg 


NEW  MEXICO:  39  agencies; 
population  903,000: 

Under   18   

Total  all  ages  


NEW  YORK:  507  agencies; 
population    15,804,000: 

Under  18  

Tolal  all  ages  


NORTH  CAROLINA:  429 

agencies; 

population  6,251,000: 

Under  18  

Total  all  ages  


NORTH  DAKOTA':  15 

agencies; 
population   154,000: 

Under  18  

Total  all  ages  


OHIO:  235  agencies; 
population  5,738,000: 

Under  18  

Total  all  ages  


OKLAHOMA:  279  agencies; 
population  3,167,000: 

Under  18  

Total  all  ages  


OREGON:   183  agencies; 
population  2,767,000: 

Under  18  

Total  all  ages  


PENNSYLVANIA:  719  agencies: 
population  8,608,000; 

Under  18  

Total  all  ages  


RHODE  ISLAND:  35  agencies; 
population  891,000: 

Under  18  

Total  all  ages  


11.102 
65.448 


137,410 
1,043,984 


37,005 
407,633 


3,017 
11,908 


56.740 
318,570 


26, 1  30 
1 50,079 


35,176 
144.465 


72,208 
324,269 


7.350 
38,044 


SOUTH  CAROLINA": 

agencies; 

population   3,557,000: 

Under  18  

Total  all  ages  


233 


SOUTH  DAKOTA:  76  agencies; 
population  445,000: 

Under   18   

Total  all  ages  


TENNESSEE:  95  agencies; 
population   1,565,000; 

Under   18   

Total  all  ages  


TEXAS:  821   agencies; 
population   17,154,000: 

Under    18    

Total  all  ages    


UTAH:  93  agencies; 
population  1,512,000: 

Under   18   

Total  all  ages    


6,552 
22.556 


17,140 
111.100 


166,120 
996,518 


35,753 
101,153 


4.510 
13.219 


44,690 
191,783 


14,926 
83,059 


1,224 
2,391 


16.323 
55.508 


11,489 
29,257 


13,363 
35,548 


20,839 
77,132 


2,626 
8,689 


VERMONT:  10  agencies; 
population  294,000: 

Under  18  

Total  all  ages  


560 
5,569 


See  footnotes  at  end  of  table. 


1,885 
3,668 


4,758 
22,126 


62,721 
!  10,388 


14.815 
26,156 


267 
1.136 


375 
2,179 


15,711 
68.853 


2,517 
24,799 


1,979 
13,235 


1,256 
5,579 


848 
4,047 


3.745 
19.179 


482 
2.199 


59 
360 


717 
4,399 


7,232 
38.440 


806 
2,343 


II 
167 


4,135 
11,040 


28.979 
122,930 


12.409 
58.260 


1,205 
2,305 


14.344 
42,273 


10,233 
23,578 


12,515 
31,501 


17,094 
57.953 


2,144 
6,490 


1,826 
3,308 


4.041 

17,727 


55,489 
171,948 


14,009 
23,813 


256 
959 


297 
1,793 


69 

721 


29 
539 


26 
229 


13 
106 


63 
644 


34 
241 


341 
2,002 


16 
112 


327 
2.225 


84 
865 


240 
1,255 


70 
493 


87 
469 


234 
1.226 


20 
110 


67 
355 


411 
2,689 


53 
210 


66 
266 


10.012 
31,272 


504 
3.394 


772 
4.170 


347 
1.060 


337 
1 ,293 


1,519 
6,703 


102 
301 


245 
1,245 


2,492 
9,515 


128 
348 


290 
1,748 


5,075 
33,553 


1,860 
19,819 


938 

7,271 


813 

3,897 


411 
2.179 


1,929 
10,506 


359 
1,755 


371 
2,558 


3,988 
24, 1 34 


605 
1,748 


9 
122 


629 
1,335 


5.409 
21.514 


3,634 
15,145 


92 

237 


2,785 
8,219 


2,151 
4,559 


2,036 
4.624 


3,425 
11,283 


440 
1,277 


276 
550 


903 
3,315 


11,799 
31,936 


1,518 
2.481 


103 
331 


3,307 
9,335 


18,588 
84,212 


7,855 
39,202 


997 
1,887 


9,624 
30,125 


6,205 
15,820 


9,002 
23.756 


10.980 
39.693 


1.423 
4,456 


19,764 


1,461 
2.607 


2,942 
13,850 


35,846 
122,027 


11,262 
19.737 


142 
592 


178 
325 


4,585 
16,120 


758 
2,347 


95 
155 


1.687 
3.339 


1,621 
2,643 


1,213 
2.545 


2.395 
5,276 


227 
680 


66 
114 


174 
431 


7,453 
15,927 


1,052 
1,376 


397 
984 


152 
555 


248 
590 


256 
456 


264 
475 


294 
701 


391 
1,058 


167 
219 


687 
5,552 


9,388 
49,021 


3,527 
38,755 


123 
510 


4,878 
22,975 


751 
6,463 


2.598 
16.952 


3,412 
20.705 


635 
4,594 


14,255 


171 
1,235 


1,151 
6,250 


9,385 
65,745 


1,995 
7,511 


59 
602 


25 
197 


405 
6,325 


203 
5,417 


20 
84 


98 

2,127 


134 
1,013 


219 
1,193 


182 
2.032 


5 
135 


2.328 


41 
170 


513 
1,559 


574 
7,881 


250 
904 


3 
51 


274 


Table  68.— Arrests  by  State,  1991— Continued 


Embezzle- 
ment 

Stolen 
property; 

buying, 
receiving; 
possessing 

Vandalism 

Weapons, 

carrying, 

possessing 

etc 

Prosti- 
tution 
and 
commer- 
cialized 
vice 

Sex 
offenses 
(except 
forcible 
rape  and 
prostitution 

Drug 

abuse 

Violations 

Gambling 

OfTcnses 

against 

family 

and 

children 

Dnving 
under  the 
influence 

Liquor 
laws 

Drunken- 
ness^ 

Disorderly 
conduct 

Vagrancy 

All  other 
offenses 
(except 
ttafTicl 

Suspicion 

Curfew 

and 
lotienng 

law 
violations 

Runaways 

9 

172 

418 

169 

5 

29 

201 

35 

15 

228 

1,375 

41 

442 

9 

1.763 

■) 

334 

575 

98 

624 

734 

623 

466 

259 

1,719 

35 

534 

13.958 

5.366 

492 

3,162 

76 

16.986 

14 

334 

575 

22 

3.358 

9,328 

2,920 

69 

1,109 

7,119 

78 

335 

306 

1.799 

2 

7.735 

160 

37.967 

21 

559 

5.205 

414 

16,138 

26,644 

15,297 

14,417 

5,751 

102.667 

3,403 

3.803 

40.739 

12.535 

4 

58.043 

6,484 

444.279 

21 

559 

5.205 

88 

944 

2,115 

882 

14 

162 

1,707 

9 

75 

552 

1.484 

1.392 

32 

7.316 

69 

983 

1,668 

5,619 

9,362 

6,614 

952 

2,172 

25.188 

480 

5.717 

27.253 

10.921 

15.439 

204 

117.631 

69 

983 

46 

209 

10 

8 

6 

37 

42 

539 

1 

124 

175 

64 

383 

J 

72 

344 

36 

1 

28 

145 

7 

132 

1.618 

1.762 

178 

525 

991 

64 

383 

10 

2.077 

2,904 

955 

46 

392 

1.970 

94 

700 

384 

3.159 

477 

3.481 

14 

10.667 

143 

3.858 

4.054 

38 

6.934 

5,479 

5,622 

2,612 

2,002 

21.468 

613 

8.092 

27.781 

16.378 

19.549 

20,544 

485 

87,432 

293 

3.858 

4.054 

43 

467 

826 

438 

27 

104 

494 

1 

45 

329 

1,045 

752 

347 

2,201 

1.041 

5.489 

499 

1.818 

1,583 

2,408 

539 

1.086 

8.061 

58 

474 

23.903 

6,283 

32.864 

3,246 

22,007 

1.041 

5.489 

4 

210 

2,487 

340 

32 

402 

616 

9 

1-' 

304 

4,578 

781 

2,593 

2.826 

3.674 

61 

528 

5,140 

2,025 

1,358 

1.551 

9.381 

18 

24T 

26.388 

17,098 

4,298 

14,755 

2.826 

3.674 

996 

5,847 

725 

16 

522 

2.140 

1 

54 

310 

7,772 

286 

8,824 

73 

7,198 

8.521 

4.318 

53 

3,369 

13,997 

3,203 

1,361 

2.028 

22.594 

380 

798 

29.186 

25.412 

18.214 

49,710 

336 

34,589 

8.521 

4.318 

8 

158 

738 

80 

6 

31 

129 

148 

21 

252 

28 

473 

7 

1,014 

249 

107 

616 

79 

637 

1,563 

405 

613 

217 

2.051 

27 

481 

2.090 

1.087 

56 

2.690 

962 

8,428 

764 

107 

616 

86 

1,516 

4,1  19 

3,373 

447 

810 

13.701 

555 

623 

23.064 

14.552 

19.492 

20.271 

15.131 

196 

540 

1 

58 

420 

68 

15 

38 

3 

13 

69 

1.326 

24 

229 

14 

1.171 

1 

401 

599 

15 

132 

602 

173 

4 

82 

424 

6 

127 

3.371 

4.626 

456 

1.549 

18 

4.079 

13 

401 

599 

45 

582 

517 

19 

30 

1.052 

52 

3 

69 

711 

340 

1.786 

16 

2.740 

II 

1.085 

1.536 

23 

163 

1,427 

2,414 

774 

240 

8,554 

281 

708 

12.105 

3.211 

20.791 

5.787 

141 

20.602 

106 

1.085 

1.536 

10 

479 

7,419 

4,355 

121 

896 

5,101 

106 

412 

986 

4.824 

5.656 

6.523 

253 

19.103 

1,613 

3.663 

31.490 

:73 

2,024 

15,190 

22,028 

8,127 

5.965 

61,299 

892 

5.481 

111.306 

22.870 

192.109 

31.519 

832 

178.912 

5.539 

3.663 

31.490 

T 

277 

2,679 

573 

33 

488 

449 

11 

162 

3.218 

170 

1.070 

2 

7.254 

2 

1.073 

1.072 

46 

539 

3,416 

1,068 

934 

1,352 

3,293 

31 

397 

8,782 

11.504 

6.649 

3,451 

11 

21.947 

3 

1.073 

1.072 

10 

24 

117 

54 
243 

3 

23 
128 

21 
312 

1 
86 

19 
1,875 

47 
205 

9 
200 

30 
344 

275 


Table  68.— Arrests  by  State,  1991— Continued 


Stale 

Total' 

all 
classes 

Crime- 
Index 
total 

Violent' 
cnme 

Property* 
crime 

Murder 
and  non- 
negligent 

man- 
slaughter 

Forcible 
rape 

Robbery 

Aggra- 
vated 
assault 

Burglary' 

Larceny- 
theft 

Motor 
vehicle 
theft 

Arson 

Other 
assaults 

Forgery 

and 
counter- 
feiting 

Fraud 

VIRGINIA:  401   agencies; 
population  6,285.000; 
Under  18                           ... 

43,508 
401,474 

37,204 
202,617 

7,068 
66,695 

103,057 
377,178 

4377 
22,165 

1  5,302 
66.980 

18.103 
45,607 

2,721 
11,364 

30,180 
67,011 

1,154 
2,950 

1,448 
10,770 

1,402 
6,167 

154 
1,632 

1,966 
7,683 

34 
491 

13,854 
56,210 

16,701 
39,440 

2,567 
9,732 

28,214 
59,328 

1,120 
2,459 

70 
540 

12 
104 

10 
109 

66 
439 

1 
13 

94 
926 

170 
856 

23 
195 

168 
715 

3 
26 

439 
2.499 

373 
1,114 

45 
262 

883 
2,280 

8 
38 

845 
6.805 

847 
4.093 

76 
1.066 

849 
4.249 

22 
414 

2.512 
8.540 

2,765 
5,650 

620 
1,923 

3.541 
7.032 

135 
336 

9.244 
43.098 

12.435 
31.384 

1.724 
7.209 

2 1 .05 1 
46.764 

904 
1.958 

1.878 
4.036 

1.347 
2.138 

198 
503 

3.309 
5.070 

63 
133 

220 
536 

154 
268 

25 
97 

313 
462 

18 
32 

3.831 
44.429 

3.866 
26.950 

406 
7.518 

4.636 
26.356 

150 
1.117 

163 
4.100 

185 
1,394 

22 
499 

398 
2,061 

8 
80 

181 

17,559 

WASHINGTON:  148  agencies; 

population   3.605.000: 

Under  18                                

53 

1,531 

WEST  VIRGINIA:  293 

agencies; 

population   1.775.000: 

35 

6,442 

WISCONSIN:  287  agencies; 

population  4.921,000; 

Under  18        

331 

9,964 

WYOMING:  66  agencies; 
population  401,000; 

3 

130 

'Does  not  include  traffic  arrests. 

includes  arson. 

'Violent  crime  includes  ofTenses  of  murder,  forcible  rape,  robbery,  and  aggravated  assault. 

^Property  crime  mcludes  ofTenses  of  burglary,  larceny-theft,  motor  vehicle  theft,  and  arson. 

'Drunkenness  is  not  considered  a  crime  in  some  stales:  therefore  the  figures  vary  widely  from  slate  to  state. 

^Arrest  data  for  1991  were  not  available  for  the  States  of  Florida  and  Iowa.  See  page  173  for  details. 

'Not  included  in  total  arrest  tables. 

'Juvenile  arrest  data  were  not  available. 

NOTE;  Direct  comparisons  of  arrest  totals  listed  in  this  table  should  be  made  with  prior  years'  issues. 


276 


Table  68.— Arrests  by  SUte,  1991— Continued 


Embe^^l^ 
ment 

Stolen 
property: 

buying, 
receiving; 
possessing 

Vandalism 

Weapons; 

carrying 

possessing 

etc. 

Prosti- 
tution 

and 
commer- 
cialized 

vice 

Sei 

offenses 
(eicepi 
forcible 
rape  and 
prostitution 

Drug 

abuse 

violations 

Gambling 

Offenses 

against 

family 

and 

children 

Driving 
under  the 
influence 

Liquor 
laws 

Drunken- 
ness' 

Disorderly 
conduct 

Vagrancy 

All  other 
Oofenses 
(except 
ttafTicI 

Suspicion 

Curfew 

and 
loitenng 

law 
violations 

Runaways 

21 

395 

2.200 

1.107 

10 

336 

1.211 

11 

13 

311 

1,761 

709 

1,571 

7.686 

1.566 

5.123 

1.105 

1.953 

6.771 

7.654 

1.345 

2.851 

17.558 

176 

1,304 

45,334 

11,589 

58,839 

10,207 

4 

95,027 

I.S66 

5,123 

2 

1.046 

2.123 

530 

52 

408 

570 

13 

288 

3,206 

2 

305 

5 

4.279 

126 

50 

1.982 

53 

2.968 

4.925 

1,941 

962 

2,277 

8.630 

9 

359 

34,256 

13,235 

28 

3.233 

102 

51.857 

258 

50 

1,982 

2 

76 

466 

113 

3 

29 

140 

2 

83 

81 

378 

227 

16 

953 

355 

939 

94 

537 

1.704 

1.750 

72 

36! 

1.850 

38 

268 

8,371 

1,145 

10,493 

2,137 

62 

10,575 

355 

939 

8 

755 

5.575 

1.989 

17 

1,562 

950 

34 

149 

478 

10,940 

47 

13,818 

47 

14.595 

198 

5,485 

9,865 

134 

1.582 

12.198 

6.798 

1.583 

4,046 

9.487 

212 

4,130 

34,961 

37,2ft8 

167 

56,692 

254 

85.608 

305 

6,485 

9,865 

2 

10 

174 

22 

2 

12 

48 

1 

13 

64 

1.015 

43 

295 

830 

8 

118 

405 

18 

56 

301 

96 

6 

110 

387 

1 

120 

4,910 

3.434 

1,604 

1,311 

6 

4.980 

25 

118 

405 

277 


Table  69. — Police  Disposition  of  Juvenile  Offenders  Taken  into  Custody,  1991 

[1991   estimated  population] 


Population  group 

Total' 

Handled 

within 

department 

and  released 

Referred  to 

juvenile 

court 

jurisdiction 

Referred  to 
welfare 
agency 

Referred  to 

other  police 

agency 

Referred  to 
criminal  or 
adult  court 

TOTAL  ALL  AGENCIES:  8,144  agencies;  population  153,187,000: 

1,182,309 

332,492 

759,411 

20,077 

11,766 

58,563 

Percent^    

28.1 

64.2 

1.7 

1.0 

5.0 

TOTAL  CITIES:  5,559  cities;  population  103,342,000: 

1,00.3,419 

290,918 

635,802 

16,718 

9,691 

49,290 

Percent'   

29.0 

63.5 

1.7 

1.0 

4.9 

Group  1 

42  cities,  250.000  and  over;  population  26,905,000; 

249.803 

70,575 
28.3 

173,575 
69.5 

1.573 
.6 

1.764 

.7 

2.316 

Percent'                                                               

.9 

Group  11 

91  cities,   100,000  to  249.999;  population   13.115.000: 

Number            

123.947 

36.819 
29.7 

80.579 
65.0 

2.133 
1.7 

693 
.6 

3,723 

3.0 

Group  111 

246  cities,  50,000  to  99,999;  population   16,862,000: 

169.843 

50.406 
29.7 

100.735 
59.3 

5.654 
3.3 

1.932 
I.I 

11,116 

6.5 

Group  IV 

452  cities,  25,000  to  49,999;  population   15,740,000; 

152.082 

47.895 
31.5 

93,600 
61.5 

2,042 
1.3 

2.237 
1.5 

6,308 

Percent'                                                     

4.1 

Group  V 

1.083  cities,   10,000  to  24,999;  population   17.287.000; 

Number    

174.794 

50.335 

107.355 

3,043 

1.658 

12,403 

28.8 

61.4 

1.7 

.9 

7.1 

Group  VI 

3,645  cities  under  10,000;  population  13,433,000: 

Number                              .     .         ....        

132.950 

.14.888 
26.2 

80.958 
60.9 

2,273 
1.7 

1,407 
1.1 

13,424 

10,1 

Suburban  Counties 

799  agencies;  population  31,335,000; 

Number                                                     ...       ...          

127.028 

32.226 
25.4 

86,385 
68.0 

1,895 
1.5 

1.390 
1.1 

5,132 

Percent'    

4.0 

Rural  Counties 

1.786  agencies;  population   18.510.000: 

Number                                                                   .     ..  .         

51,862 

9.348 
18.0 

36,224 
69.8 

1,464 
2.8 

685 

1,3 

4,141 

Percent'    

8.0 

Suburban  Area' 

3.956  agencies;  population  75.059,000: 

Number    

521,442 

162.933 
31.2 

313,878 
60.2 

7.395 
1.4 

5.580 
1.1 

31.656 

Percent'    

6.1 

'  Includes  all  offenses  except  traffic  and  neglect  cases, 

I  Because  of  rounding,  the  percentages  may  not  add  to  total. 

^  Includes  suburban  city  and  county  law  enforcement  agencies  within  metropolitan 


areas.  Excludes  central  cities.  Suburban  cities  and  counties  are  included  in  other  groups. 


278 


SECTION  V 

Juveniles  and  Violence 


Nationwide,  there  is  a  growing  concern  over  an  escala- 
tion in  juvenile  delinquency,  a  perception  supported  by  the 
unprecedented  level  of  juvenile  violence  confronting  the 
Nation.  Historically,  the  youth  of  America  has  had  procliv- 
ity toward  property-related  crimes  such  as  motor  vehicle 
theft,  larceny,  and  arson.  During  the  1980s,  however, 
crimes  related  to  violence  became  a  more  significant 
component  of  juvenile  crime,  not  only  involving  disadvan- 
taged minority  youth  in  urban  areas  but  evident  in  all 
races,  social  classes,  and  lifestyles.  In  an  effort  to  address 
this  social  phenomenon,  this  study  examines  the  move- 
ment in  juvenile  violence  from  the  mid-1960s  to  1990. 

Causal  factors  pertaining  to  juvenile  violence  are  multi- 
farious. Many  social  scientists  believe  that  much  of  the 
violence  reflects  a  breakdown  of  families,  schools,  and 
other  societal  institutions.  Some  studies  suggest  that  70 
percent  of  juvenile  offenders  come  from  single-parent 
homes.  Since  1950,  the  percentage  of  single-parent  fami- 
lies in  the  United  States  has  tripled.  Moreover,  this 
unprecedented  rise  in  juvenile  violence  has  coincided  with 
a  significant  increase  in  the  juvenile  heroin/cocaine  arrest 
rate,  as  well  as  a  proliferation  in  illegal  weapon  usage.  This 
report  measures  juvenile  violence  in  terms  of  arrest  rale 
trends  for  violent  crimes  (murder,  forcible  rape,  robbery, 
and  aggravated  assault),  drug  abuse  violations,  and  weapon 
law  violations.  Since  a  specific  segment  of  the  U.S. 
population  (i.e.,  juveniles)  is  addressed.  Uniform  Crime 
Reporting  (UCR)  arrest  statistics  are  used  as  an  indicator 
of  crime  trends.  The  arrest  statistics  are  based  on  data 
reported  to  the  FBI's  UCR  Program  by  local  law  enforce- 
ment agencies. 

For  the  purposes  of  this  study,  a  juvenile  is  defined  as  a 
person  between  the  ages  10-  17.  Arrest  rates  expressed  per 
100,000  in  this  study  are,  therefore,  based  on  the  popula- 
tion aged  10-  17.  This  age  group  is  viewed  to  be  appropri- 
ate in  that  it  accounts  for  over  98  percent  of  juvenile 
violent  crime  arrests.  Consequently,  a  more  definitive 
trend  of  juvenile  violent  crime  can  be  established  by 
omitting  children  (aged  below  10). 
Violent  Crime 

In  1990,  the  Nation  experienced  its  highest  juvenile 
violent  crime  arrest  rate,  430  per  100,000  juveniles  (see 
Chart  5.1).  The  1990  rate  was  27  percent  higher  than  the 
1980  rate.  As  portrayed  in  Chart  5.2,  both  white  and  black 
arrest  rates  experienced  substantial  increases  from  1965  to 
1990.  Of  particular  note  is  the  upward  trend  that  started  in 
1988  for  both  white  and  black  youths,  as  well  as  the 
downward  trend  for  those  in  the  other-race  category. 
Overall,  for  the  period  1980  -  1990,  the  white  juvenile 
violent  crime  arrest  rate  increased  44  percent,  as  compared 


to  a  19-percent  increase  for  blacks  and  a  53-percent  decline 
for  others.  With  the  exception  of  robbery,  all  violent  crime 
categories  showed  significant  increases  in  juvenile  arrest 
rates  during  the  past  decade.  In  1990,  the  juvenile  violent 
crime  arrest  rate  reached  1,429  per  100,000  black  juve- 
niles, five  times  that  for  white  youths.  The  other-race 
category  registered  its  lowest  violent  crime  arrest  rate  in 
1990  after  peaking  in  1978.  A  crime-by-crime  analysis  of 
each  violent  crime  arrest  rate  follows.  In  conjunction  with 
this  analysis,  there  is  also  an  examination  of  the  arrest  rate 
trends  for  juvenile  drug  abuse  violations  and  weapon  law 
violations. 

Murder 

The  Nation  experienced  an  upsurge  in  the  juvenile 
murder  arrest  rate  for  blacks  during  the  1980s  as  shown  in 
Chart  5.4.  This  upward  trend  had  a  profound  impact  on 
the  overall  juvenile  murder  arrest  rate  (see  Chart  5.3). 
Specifically,  between  1980  and  1990,  the  arrest  rate  for  this 
group  increased  145  percent,  while  the  rate  for  whites  rose 
48  percent  and  for  other  races,  declined  45  percent.  When 
considering  the  difference  in  the  arrest  rate  for  black  and 
white  juveniles,  the  black  rate  was  7.5  times  that  of  whites 
in  1990.  From  a  historical  perspective,  1965  to  1990,  the 
overall  murder  arrest  rate  for  juveniles  increased  332 
percent,  from  2.8  to  12.1.  Another  item  of  concern  is  that 
during  the  past  decade,  there  has  been  a  79-percent 
increase  in  the  number  of  juveniles  who  commit  murders 
with  guns.  In  1990,  nearly  3  of  4  juvenile  murder  offenders 
used  guns  to  perpetrate  their  crimes.  The  juvenile  arrest 
rate  trends  for  weapon  law  violations  and  heroin/cocaine 
violations  paralleled  the  trend  for  murder  since  1980. 
Murder  and  illegal  weapon  usage  have  become  a  compo- 
nent of  the  illicit  heroin/cocaine  drug  trade. 
Forcible  Rape 

The  Nation's  juvenile  forcible  rape  arrest  rate  has  more 
than  doubled  since  1965,  from  10.9  to  21.9  in  1990.  In 
more  recent  years,  1980  -  1990,  the  white  arrest  rate  has 
increased  dramatically  faster  than  the  black  arrest  rate,  86 
percent  versus  9  percent,  although  the  black  rate  is 
significantly  higher  than  the  white  rate  (see  Charts  5.5  and 
5.6).  The  other  racial  group  category  experienced  a  66- 
percent  decline  since  1980.  In  fact,  this  group's  rate  in 
1965  was  27.9  as  compared  to  3.7  in  1990.  The  percent 
distribution  for  juvenile  forcible  rape  arrestees  in  1990  was 
53  percent  for  whites,  46  percent  for  blacks,  and  2  percent 
for  others. 

Robbery 

Robbery  is  the  second  most  frequently  committed 
violent   offense,    exceeded    only   by   aggravated    assault. 


279 


JUVENILE  VIOLENT  CRIME 
ARREST  RATES 

United  states  1965-1990 


Arrest  Rate 
(per  100,000) 

500 


400 


CHART  5.x 

TOTAL 


1965 


1970 


1975 


1980 


1985 


1990 


Arrest  Rate 
(per  100,000) 

1600 


CHART  5.2 

BY  RACE 


WHITE 
BLACK 
OTHER 


1970 


1975 


1980 


1990 


280 


JUVENILE  MURDER 
ARREST  RATES 

United  States  1965-1990 


Arrest  Rate 
(per  100,000) 


1965 


1970 


(CHART  5.3 

TOTAL 


1975 


1980 


1985 


1990 


Arrest  Rate 
(per  100,000) 

50 


1965 


HART  5.4 

BY  RACE 


WHITE 
BLACK 
OTHER 


1970 


1975 


1980 


1985 


1990 

281 


JUVENILE  FORCIBLE  RAPE 
ARREST  RATES 

United  states  1965-1990 


Arrest  Rate 
(per  100,000) 

25 


1965 


1970 


CHART  5.5 

TOTAL 


1975 


1980 


1985 


1990 


Arrest  Rate 
(per  100,000) 

100 


1965 


1970 


CHART  5.6 

BY  RACE 


1975 


1980 


WHITE 
BLACK 
.??K.  >*   OTHER 


1985 


1990 


282 


Consequently,  it  has  the  second  highest  arrest  rate  among 
violent  crimes.  After  peaking  in  1978  and  declining  during 
the  middle  1980s,  the  juvenile  robbery  arrest  rate  in  the 
Nation  escalated  as  shown  in  Chart  5.7.  The  upward  trend 
was  led  by  a  54-percent  increase  in  the  white  arrest  rate 
from  1988  to  1990,  when  it  reached  75  per  100,000,  the 
highest  rate  for  this  group  during  the  26-year  period  under 
consideration,  1965-1990.  The  black  arrest  rate  was  34 
percent  higher  than  in  1988  but  was  16  percent  below  the 
1 980  rate.  This  was  the  only  decrease  experienced  by  black 
juveniles  for  any  violent  crime  category  during  the  decade. 
Moreover,  black  juveniles  in  1990  constituted  63  percent 
of  juvenile  robbery  arrests,  the  highest  black  percentage  for 
any  violent  crime  category.  From  a  historical  perspective, 
the  other  racial  group  category  had  a  relatively  high 
juvenile  arrest  rate  for  robbery;  but  in  1990,  its  rate 
decreased  to  the  lowest  rate  among  racial  groups  (see  Chart 
5.8). 

Aggravated  Assault 

Aggravated  assault,  the  most  voluminous  violent  crime, 
registered  the  highest  juvenile  arrest  rate  among  violent 
offenses.  Charts  5.9  and  5.10  reveal  that  the  rate  of 
juvenile  arrests  for  aggravated  assault  has  increased  sub- 
stantially for  both  white  and  black  youths,  particularly 
during  the  past  decade.  The  arrest  rate  for  these  two  groups 
increased  59  percent  and  89  percent,  respectively,  from 
1980  to  1990.  Dissimilar  to  other  violent  crimes,  the 
juvenile  arrest  rate  trend  for  aggravated  assault  has  undu- 
lated minimally  since  1965.  This  would  suggest  that 
today's  youth  are  more  inclined  to  settle  a  dispute  by 
engaging  in  a  physical  altercation.  An  exception  to  this 
trend  was  the  arrest  rate  for  the  other-race  category.  For 
this  group,  the  arrest  rate  declined  39  percent  between 
1980  and  1990.  It  now  has  the  lowest  aggravated  assault 
arrest  rate  after  peaking  in  1978.  It  should  be  noted, 
however,  that  in  terms  of  total  impact,  the  other-race 
category  represented  only  2  percent  of  the  arrests  for  this 
crime  in  1990. 

Drug  Abuse  Violations 

The  pattern  of  drug  abuse  in  the  Nation  changed 
dramatically  during  the  1980s  (see  Charts  5.11  through 
5.14).  Heroin/cocaine  violations  now  represent  the  pre- 
dominant drug  arrest  type  for  juveniles.  A  major  repercus- 
sion of  this  development  has  been  an  extraordinary  burden 
on  the  juvenile  criminal  justice  system.  There  is  a  relation- 
ship between  juvenile  violence  and  the  proliferating  drug 
trade,  particularly  with  regard  to  cocaine. 

Prior  to  1980,  marijuana  was  the  most  abused  illegal 
drug  by  juveniles  for  all  racial  groups.  Juvenile  marijuana 
arrest  rates  rose  significantly  from  1965  to  the  mid-1970s, 
as  did  those  for  synthetic  drugs  and  nonnarcotic  drugs. 
Rates  for  heroin/cocaine  arrests  were  relatively  low  and 
rather  stable  prior  to  1980.  During  the  1980s,  however, 
there  was  a  shift  of  historical  proportion  in  juvenile  arrest 


rates  for  marijuana  and  heroin/cocaine.  The  marijuana 
juvenile  arrest  rate  dropped  dramatically,  while  there  was 
an  exponential  increase  in  the  heroin/cocaine  rate.  Specifi- 
cally, between  1980  and  1990,  the  overall  rate  for  juvenile 
heroin/cocaine  arrests  rose  7 1 3  percent.  When  considering 
this  increase  by  race,  the  black  arrest  rate  jumped  2,373 
percent,  followed  by  a  251-percent  upswing  for  whites,  and 
a  127-percent  rise  for  other  races.  Conversely,  the  overall 
rate  for  marijuana  arrests  fell  66  percent.  The  decline  was 
experienced  by  all  racial  groups.  It  can  be  suggested  that 
the  diverging  trends  established  by  these  two  drug  types 
may  not  be  short-lived.  Juveniles  will  continue  to  play  an 
instrumental  role  in  the  sale  and  possession  of  her- 
oin/cocaine, particularly  if  the  opportunity  for  monetary 
gain  remains. 

Weapon  Law  Violations 

In  1990,  nationally  there  were  151  arrests  per  100,000 
juveniles  for  weapon  law  violations.  This  was  the  highest 
rate  ever  recorded.  It  is  indicative  of  a  surge  in  weapon 
violations  by  juveniles  that  commenced  during  the  early 
1980s.  Both  white  and  black  juveniles  are  responsible  for 
this  increase  (see  Charts  5.15  and  5.16).  The  arrest  rate  for 
whites  rose  58  percent  between  1980  and  1990,  and  the 
black  rate  jumped  103  percent.  The  other-race  category 
experienced  a  48-percent  decline.  This  group  had  the 
lowest  arrest  rate  of  any  group  in  1990,  30  per  100,000 
juveniles.  This  is  an  interesting  development  when  consid- 
ering the  fact  that  the  other-race  rate  nearly  equalled  the 
black  rate  in  the  1970s.  An  examination  of  the  percent 
distribution  by  race  for  juvenile  weapon  law  violations 
arrests  in  1990  revealed  that  whites  accounted  for  62 
percent,  blacks  for  36  percent,  and  other  races  the  remain- 
der. As  mentioned  earlier,  the  more  recent  arrest  trend  for 
juvenile  weapon  law  violations  paralleled  the  trends  for 
murder  and  heroin/cocaine  violations. 

Summary 

The  Nation  is  experiencing  an  unrivaled  period  of 
juvenile  violent  crime  that  began  during  the  1980s.  Most 
juvenile  arrest  rates  for  crimes  related  to  violence  rose 
substantially  between  1980  and  1990  as  shown  in  Table 
5.1.  This  was  particularly  true  for  both  white  and  black 
youths.  The  following  offenses  exceeded  or  approached 
their  highest  juvenile  arrest  rate  in  1990:  murder,  12.1; 
forcible  rape,  21.9;  robbery,  156.2;  aggravated  assauU, 
240.4;  heroin/cocaine,  168.1;  weapon  violations,  151.0. 
While  there  was  a  substantial  decline  in  the  arrest  rates  for 
the  other-race  category,  arrests  of  persons  in  this  group 
accounted  for  less  than  2  percent  of  violent  crime  arrests. 
The  decline  in  this  racial  category's  arrest  rates  was 
primarily  attributable  to  a  large  increase  in  the  number  of 
Asian  juveniles.  Historically,  this  group  has  been  the  least 
crime-prone  group  among  juveniles. 


283 


Arrest  Rate 
(per  100,000) 

200 


150 


100 


JUVENILE  ROBBERY 
ARREST  RATES 

United  states  1965-1990 

ART  5.7^1 

TOTAL 


1965 


1970 


1975 


1980 


1985 


1990 


Arrest  Rate 
(per  100,000) 

1000 


1970 


CHART  5.8 

BY  RACE 


A^^^ 


^ 


^ 


1975 


1980 


1985 


WHITE 
BLACK 
OTHER 


1990 


284 


JUVENILE  AGGRAVATED  ASSAULT 

ARREST  RATES 

United  States  1965-1990 


Arrest  Rate 
(per  100,000) 

250 


200 


150 


100 


1965 


1970 


:hart  5. 
TOTAL 


1975 


1980 


1985 


1990 


Arrest  Rate 
(per  100,000) 

700 


i   CHART  5.1 

BY  RACE 


/.  WHITE 

BLACK 
OTHER 


CHART  5.11 

Arrest  Rate 
(per  100,000) 

800 


600 


JUVENILE  HEROIN/COCAINE 

ARREST  RATES 

United  States  1965-1990  By  Race 


400 


200 


0  — .~si^'«'-- 
1965 


1.3 


Arrest  Rate 
(per  100,000) 

500 


JUVENILE  MARIJUANA 

ARREST  RATES 

United  States  1965-1990  By  Race 


1980 


1970 

1975 

1980 

1985 

18.2 

14.1 

19.4 

4Q.4 

BB 

m 

m 

IBMH 

J21..3 

IM.^ 

,  J,2 

6.9                       181.8                     436.1                     393.5                     284.7 

■UB]            DBD             BM81            I^H            UfiBI 

18.2                    h63.4                     246.5                    128.0                     160.0 

WHITE 
BLACK 
OTHER 


1990 

68.0  I 


43. 


WHITE 
BLACK 
OTHER 


1990 

131.01 


25.5 


286 


CHART  5.13 

Arrest  Rate 
(per  100,000) 

60 


JUVENILE  SYNTHETIC  DRUG 

ARREST  RATES 

United  States  1965-1990  By  Race 


WHITE 
BLACK 
OTHER 


CHART  5.14 

Arrest  Rate 
(per  100,000) 

250 


JUVENILE  NONNARCOTIC  DRUG 

ARREST  RATES 

United  States  1965-1990  By  Race 


0 
19 

H 

m  m 

B 

1 

65 

1970 

V 

?75 

11.0 

82.5 

159.5 

■m 

IBI 

^BB 

1 

228.9 

^5.2 

1980 

I  39.9 


35.8 


WHITE 
BLACK 
OTHER 


1985                  1990 

36.5                       26.1 

^ffli           IDDB! 

11.0                ■§■ 

287 


JUVENILE  WEAPON  VIOLATIONS 

ARREST  RATES 

United  states  1965-1990 


Arrest  Rate 
(per  100,000) 

160 


1965 


1970 


, CHART  5.-U5: 

TOTAL 


1975 


1980 


1985 


1990 


Arrest  Rate 
(per  100,000) 

400 


300 


200 


100 


1970 


HART  5.16! 

BY  RACE 


WHITE 
BLACK 
OTHER 


1975 


1980 


1985 


1990 


288 


While  the  focus  of  this  study  has  been  at  the  national 
level,  juvenile  arrest  data  at  the  state  level  revealed  that 
three  of  four  states  in  the  Nation  experienced  significant 
increases  in  their  overall  juvenile  violent  crime  arrest  rates 
between  1980  and  1990.  These  states  covered  all  geograph- 
ic regions,  which  would  indicate  that  the  surge  in  juvenile 
violent  crime  arrests  has  a  broad  base,  not  limited  to  a 
particular  geographic  area.  Moreover,  the  juvenile  violent 
crime  arrest  trend  was  consistent  with  the  adult  upward 
trend. 

The  recent  increase  in  the  juvenile  arrest  rate  for  crimes 
related  to  violence  may  be  indicative  of  future  trends  when 
considering  concomitant  social/demographic  trends.  Final 
arrest  statistics  for  1991,  which  became  available  after  this 
study  was  completed,  show  that  the  upward  trend  in 
juvenile  violent  crime  continues.  The  population  group  10- 
17  is  projected  to  increase  significantly  between  1990  and 
2000.  This  development  may  lead  to  further  escalation  in 
juvenile  crimes/arrests.  Similarly,  it  is  widely  believed  that 
prevailing  social  conditions  with  regard  to  family  stability, 


education,  and  other  societal  institutions  have  an  effect  on 
the  behavior  of  juveniles. 

Table  5.1 

Percent  Changes  in  Juvenile  Arrest  Rates* 

For  Crimes  Related  to  Violence,  United  States, 
1990  over  1980 


OfTense 

All 
Races 

White 

Black 

Other 

Violent  Crime  Total  

Murder    

Forcible  Rape    

Robbery    

Aggravated  Assault 

Weapon  Law  Violations  . . 

Drug  Abuse  Total    

Heroin/Cocaine  

Marijuana  

27.3 
87.3 
36.7 
-7.5 
63.7 

62.6 

-20.1 
713.4 
-66.0 
-26.5 
-5.5 

43.8 
47.5 
85.9 
12.3 
59.2 

57.6 

-47.6 
251.1 
-66.7 
-34.1 
-34.6 

19.2 

145.0 

8.5 

-15.6 

88.9 

102.9 

158.6 
2,372.9 
-47.5 
144.7 
223.3 

-53.4 
-45.4 
-66.0 
-67.4 
-38.8 

-48.1 

-77.0 
126.8 
-80.1 
-77.4 
-87.5 

Synthetic  

Nonnarcotic 

•Arrest  rate  per  100,000  for  the  age  group  10-17. 


I 


289 


SECTION  VI 
Law  Enforcement  Personnel 


The  Nation's  law  enforcement  community  employed  an 
average  of  2.2  full-time  officers  for  every  1,000  inhabitants 
as  of  October  31,  1991.  Considering  full-time  civilians,  the 
overall  law  enforcement  employee  rate  was  3.1  per  1,000 
inhabitants  according  to  12,805  city,  county,  and  state 
police  agencies  reporting  in  1991.  These  agencies  collec- 
tively offered  law  enforcement  service  to  a  population  of 
over  238  million,  employing  535,629  officers  and  199,883 
civilians.  A  listing  of  reported  full-time  law  enforcement 
officers  and  civilian  employees  by  state  is  shown  in  Table 
77. 

Varying  demographic  and  other  jurisdictional  character- 
istics greatly  affect  the  requirements  for  law  enforcement 
service  from  one  locale  to  another.  The  needs  of  a 
community  having  a  highly  mobile  or  seasonal  population, 
for  example,  may  be  very  different  from  those  of  a  city 
whose  population  is  relatively  stable.  Similarly,  a  small 
community  situated  between  two  large  cities  may  require  a 
greater  number  of  law  enforcement  personnel  than  a 
community  of  the  same  size  which  has  no  urban  centers 
nearby. 

The  functions  of  law  enforcement  are  also  significantly 
diverse  throughout  the  Nation.  In  certain  areas,  sheriffs' 
responsibilities  are  limited  almost  exclusively  to  civil 
functions  and/or  the  administration  of  the  county  jail 
facilities.  Likewise,  the  responsibilities  of  state  police  and 
highway  patrol  agencies  vary  from  one  jurisdiction  to 
another. 

In  view  of  these  differing  service  requirements  and 
responsibilities,  care  should  be  used  when  attempting  any 
comparison  of  law  enforcement  employee  rates.  The  rates 
presented  in  the  following  tables  represent  national  aver- 
ages; they  should  be  viewed  as  guides  or  indicators,  not  as 
recommended  or  desirable  police  strengths.  Adequate 
personnel  for  a  specific  locale  can  be  determined  only  after 
careful  study  and  analysis  of  the  various  conditions  affect- 
ing service  requirements  in  that  jurisdiction. 

The  law  enforcement  employee  average  for  all  cities 
nationwide  in  1991  was  2.8  per  1,000  inhabitants.  The 
Nation's  smallest  cities,  those  with  fewer  than  10,000 
inhabitants,  employed  3.3  employees  per  1,000  population, 
while  for  the  largest  cities  (over  250,000  population)  the 
rate  was   3.6   per    1,000.   Rural   and   suburban   counties 


averaged  full-time  law  enforcement  employee  rates  of  3.8 
and  3.6  per  1,000  population,  respectively.  (See  Table  70.) 
Regionally,  the  law  enforcement  employee  rate  was 
highest  in  the  South,  with  3.2,  and  lowest  in  the  West,  2.4. 
(See  Table  70.) 

Sworn  Personnel 

Rates  based  solely  on  sworn  law  enforcement  personnel 
(excluding  civilians)  showed  the  national  average  for  all 
cities  was  2.2  officers  per  1,000  inhabitants.  By  population 
grouping,  the  rates  ranged  from  1.7  for  cities  with  popula- 
tions of  25,000  to  99,999  to  2.8  in  cities  with  250,000  or 
more  inhabitants.  Suburban  county  law  enforcement  agen- 
cies averaged  2.3  officers  per  1,000  population,  while 
agencies  in  rural  counties  averaged  2.5.  (See  Table  71.) 

Geographically,  the  highest  rates  of  officers  to  popula- 
tion were  recorded  in  the  Northeastern  and  Southern 
States  where  there  were  2.4  officers  per  1,000  inhabitants. 
Following  were  the  Midwestern  States  with  2.1  and  the 
Western  States  with  1.7. 

Males  comprised  91  percent  of  all  sworn  employees 
nationally.  Ninety-three  percent  of  the  officers  in  rural 
counties,  91  percent  of  those  in  cities,  and  88  percent  in 
suburban  counties  were  males. 

Civilian  Employees 

Civilians  made  up  27  percent  of  the  total  United  States 
law  enforcement  employee  force  in  1991.  They  represented 
22  percent  of  the  police  employees  in  cities,  33  percent  of 
those  in  rural  counties,  and  35  percent  of  the  suburban 
county  law  enforcement  strength.  Thirty-six  percent  of  all 
civilian  employees  were  males. 

Law  Enforcement  Officers  Killed  and  Assaulted 

Sixty-nine  law  enforcement  officers  were  feloniously 
slain  in  the  line  of  duty  during  1991,  four  more  than  in  the 
previous  year.  Accidents  occurring  while  performing  offi- 
cial duties  claimed  the  lives  of  an  additional  52  officers  in 
1991.  The  1991  total  for  officers  accidentally  killed  was  the 
lowest  since  1978,  when  the  count  was  also  52. 

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. 


290 


Table  70. — Full-time  Law  Enforcement  Employees',  Number  and  Rate  per  1,000  Inhabitants,  Geographic  Region  and  Division  by  Population  Group, 
October  31,  1991 

[1991  estimated  population] 


Geographic  region/division 


Total 

(9,740  cities; 

population 

159,722,000) 


Population  group 


Group  I 
(63  cities. 

250.000 
and  over: 
population 
45.426.000) 


Group  II 
(129  cities. 
100.000  to 

249.999; 
population 
19.182.000) 


Group  III 
(329  cities, 

50.000  to 

99.999; 

population 

22.621.000) 


Group  IV 
(669  cities, 

25.000  to 

49.999; 

population 

23.172.000) 


Group  V 

(1.634  cities, 

10.000  to 

24.999; 

population 

25.664,000) 


Group  VI 

(6.916  cities 

under 

10.000; 

population 

23,657,000) 


TOTAL:  9,740  cities:  population  159,722,000: 

Number  of  employees  

Average  number  of  employees  per  1,000  inhabitants    , 

New  England:  673  cities:  population  11,582,000: 

Number  of  employees  

Average  number  of  employees  per  1 ,000  inhabitants 
Middle  Atlantic:  1.696  cities:  population  28,411.000: 

Number  of  employees  

Average  number  of  employees  per  1 ,000  inhabitants 
Northeast:  2.369  cities;  population  39.992.000: 

Number  of  employees  

Average  number  of  employees  per  1,000  inhabitants 
East  North  Central:  1,834  cities;  population  29,109,000: 

Number  of  employees  

Average  number  of  employees  per  1.000  inhabitants 
West  North  Central:  826  cities;  papulation  10,887,000: 

Number  of  employees  

Average  number  of  employees  per  1.000  inhabitants 
Midwest:  2,660  cities;  population  39.995.000: 

Number  of  employees  

Average  number  of  employees  per  1,000  inhabitants 
South  Atlantic:  1.683  cities;  population  18,461.000: 

Number  of  employees  

Average  number  of  employees  per  1,000  inhabitants 
East  South  Central:  738  cities;  population  7,745,000: 

Number  of  employees  

Average  number  of  employees  per  1.000  inhabitants 
West  South  Central:  1,024  cities;  population  17.612,000: 

Number  of  employees  

Average  number  of  employees  per  1.000  inhabitants 
South:  3.445  cities;  papulation  43.818,000: 

Number  of  employees  

Average  number  of  employees  per  1.000  inhabitants 
Mountain:  528  cities;  population  9.490.000: 

Number  of  employees  

Average  number  of  employees  per  1.000  inhabitants 
Pacific:  738  cities;  papulation  26,427,000: 

Number  of  employees  

Average  number  of  employees  per  1 .000  inhabitants 
West:  1,266  cities:  population  35.917.000: 

Number  of  employees  

Average  number  of  employees  per  1.000  inhabitants 


448,538 
2.8 


28.644 
2.5 


90.168 
3.2 


118.812 
3.0 


78.700 

2.7 


24.710 
2.3 


103.410 
2.6 


69.855 
3.8 


22.493 
2.9 


46,916 

2.7 


139,264 

3.2 


23,805 
2.5 


63,247 
2.4 


87.052 
2.4 


163,132 
3.6 


2.616 
4.6 

47.318 
4.8 

49.934 
4.8 

29.237 
4.3 

6,932 

3.3 

36.169 
4.0 

17.945 
4.3 

4.891 
2.9 

17.837 
2.8 

40,673 
3.3 

9.137 
2.6 

27.219 
2.7 

36.356 
2.6 


46,130 
2.4 


51.053 
2.3 


51.407 

2.2 


3.757 
3.1 


4.567 
3.1 


8.324 
3.1 


5.453 
2.2 


2,616 
2.1 


8,069 

2.2 


9.350 
2.9 


3.375 
2.6 


4.937 

7  1 


17.662 
2.6 


2.530 
2.3 


9.545 
1.9 


12.075 
2.0 


5.705 
2.4 


6.736 
2.5 


12.441 
2.4 


9.568 
2.1 


2.251 
1.6 


11.819 
2.0 


8.342 
3.2 


975 
2.7 


5,045 
2.3 


14,362 


3,230 
1.9 


9.201 
2.0 


12.431 
2.0 


5.672 


9,061 
2.4 


14.733 
2.3 


9.531 
2.0 


3.216 
1.7 


12.747 
1.9 


8.175 
3.0 


2.551 
2.5 


3.626 

2.2 


14.352 

2.7 


2.422 
2.1 


7.153 
2.1 


9.575 
2.1 


57,950 
2.3 


6,264 
2.1 

11.487 
2.1 

17,751 
2.1 

12,197 
2.1 

4.250 
2.0 

16.447 

2.1 

8.282 
3.2 

4,151 
2.7 

5.779 
2.3 

18.212 

2.7 

1,852 
2.3 

3.688 
2.1 

5.540 

2.2 


78.866 
3.3 


4,6-30 

2.7 

10.999 

2.2 

15.629 

2.4 

12,714 
2.8 

5.445 
2.5 

18.159 

2.7 

17.761 
5,4 

6.550 
3.6 

9,692 
3.9 

34.003 
4.5 

4.634 
3.8 

6.441 
4.5 

11.075 
4.2 


Suburban  and  County 


Suburban^:  5,814  agencies;  population  95,686.000: 

Number  of  employees 

Average  number  of  employees  per  1 ,000  inhabitants 


293.040 
3.1 


County:  3,065  agencies,  population  78,334,000: 

Number  of  employees  

Average  number  of  employees  per  1.000  inhabitants 


286.974 

3.7 


'Includes  civilians. 

'Includes  suburban  city  and  county  law  enforcement  agencies  within  metropolitan  areas.  Excludes  central  cities.  Suburban  cities  and  counties  are  also  included  in  other  groups.  Population 
figures  were  rounded  to  the  nearest  thousand.  .All  rates  were  calculated  before  rounding. 


291 


Table  71. — Full-time  Law  Enforcement  Officers,  Number  and  Rate  per  1,000  Inhabitants, 
October  31,  1991 

11991  estimated  population] 


Geographic  Region  and  Division  by  Population  Group, 


Geographic  region/division 


Total 

(9,740  cities: 

population 

159,722,000) 


Population  group 


Group  I 
(63  cities, 

250.000 
and  over; 
population 
45,426.000) 


Group  II 
(129  cities, 
100,000  to 

249,999; 
population 
19,182.000) 


Group  III 
(329  cities, 

50,000  to 

99,999; 

population 

22,621,000) 


Group  IV 
(669  cities, 

25,000  to 

49,999; 

population 

23,172.000) 


Group  V 

(1.634  cities. 

10,000  to 

24,999; 

population 

25,664.000) 


Group  VI 

(6.916  cities 

under 

10.000; 

population 

23.657,000) 


TOTAL:  9,740  cities:  population  159,722,000: 

Numtwr  of  ofllcers  

Average  number  of  officers  per  1,000  inhabitants    — 

New  England:  673  cities:  population  11,582,000: 

Number  of  officers   

Average  number  of  officers  per  1 .000  inhabitants  . . . 
Middle  Atlantic:  1.696  cities:  population  28,411,000: 

Number  of  officers   

Average  number  of  officers  per  1,000  inhabitants  ... 
Northeast:  2,369  cities;  population  39,992,000: 

Number  of  officers   

Average  number  of  officers  per  1.000  inhabitants  ... 
East  North  Central:  1,834  cities;  population  29,109,000: 

Number  of  officers   

Average  number  of  officers  per  1,000  inhabitants  ... 
West  North  Central:  826  cities;  population  10,887,000: 

Number  of  officers   

Average  number  of  officers  per  1 ,000  inhabitants  . . . 
Midwest:  2,660  cities:  population  39,995,000: 

Number  of  officers   

Average  number  of  officers  per  1,000  inhabitants  ... 
South  Atlantic:  1,683  cities;  population  18,461,000: 

Number  of  officers   

Average  number  of  officers  per  1,000  inhabitants  ... 
East  South  Central:  738  cities;  population  7,745,000: 

Number  of  officers   

Average  number  of  officers  per  1 ,000  inhabitants  . . . 
West  South  Central:  1,024  cities;  population  17,612,000: 

Number  of  officers   

Average  number  of  officers  per  1 ,000  inhabitants  . . . 
South:  3,445  cities;  population  43,818,000: 

Number  of  officers   

Average  number  of  officers  per  1,000  inhabitants  ... 
Mountain:  528  cities;  population  9,490,000: 

Number  of  officers   

Average  number  of  officers  per  1.000  inhabitants  ... 
Pacific:  738  cities;  population  26,427,000: 

Number  of  officers   

Average  number  of  officers  per  1 ,000  inhabitants  . . . 
West:  1,266  cities;  population  35,917,000: 

Number  of  officers   

Average  number  of  officers  per  1 .000  inhabitants  . . . 


348,070 

2.2 


23.864 
2.1 

72,701 
2.6 

96,565 

2.4 

62,964 

2.2 

19,219 
l.g 

82,183 
2.1 

54,193 
2.9 

17,449 

2.3 

35,216 
2.0 

106,858 

2.4 

17,313 
1.8 

45,151 
1.7 

62,464 
1.7 


125,403 
2.8 


1.989 
3.5 

36.499 

3.7 

38.488 

3.7 

23.686 
3.5 

5.085 

2.4 

28.771 
3.2 

14.190 
3.4 

3.707 
2.2 

I  3.404 
2.1 

31.301 
2.6 

6.687 
1.9 

20.156 
2.0 

26.843 
2.0 


35,276 
1.8 


39,053 

1.7 


40.508 
1.7 


3.146 
2.6 

3,922 
2.6 

7.068 
2.6 

4,430 
1.8 

1.978 
1.6 

6,408 
1.7 

7,066 

2.2 

2,528 
1.9 

3,876 
1.7 

13,470 
2.0 

1,821 
1.7 

6,509 
1.3 

8.330 

1.4 


4.858 
2.0 

5.472 
2.0 

10,330 
2.0 

7,528 
1.6 

1,809 
1.3 

9,337 
1.6 

6,256 

2.4 

781 
2.1 

3,815 
1.7 

10,852 
2.1 

2.317 
1.4 

6.217 
1.3 

8.534 
1.3 


4.920 
1.9 

7.644 
2.0 

12.564 
2.0 

7.501 
1.5 

2.500 
1.3 

10,001 
1.5 

6,339 

2.3 

2,006 
2.0 

2.743 
1.6 

11.088 
2.1 

1,763 
1.5 

5,092 
1.5 

6.855 

1.5 


46,475 
1.8 


5.320 
1.8 

9.803 
1.8 

15.123 
1.8 

9.701 
1.7 

3.375 
1.6 

13.076 

1.7 

6.402 

2.5 

3.337 
2.1 

4.507 
1.8 

14.246 
2.1 

1,346 
1.7 

2,684 
1.5 

4,030 
1.6 


61,355 
2.6 


3.631 
2.1 

9.361 
1.9 

12,992 
2.0 

10.118 

2.2 

4,472 
2.1 

14,590 
2.2 

13.940 

4.2 

5.090 
2.8 

6,871 
2.8 

25,901 
3.4 

3.379 

2.7 

4,493 

3.2 

7,872 
3.0 


Suburban  and  County 


Suburban':  5,814  agencies;  population  95,686,000: 

Number  of  officers  

Average  number  of  officers  per  1,000  inhabitants 


206.820 

2.2 


County:  3,065  agencies;  population  78,334,000: 

Number  of  officers   

Average  number  of  officers  per  1.000  inhabitants 


187,559 
2.4 


'Includes  suburban  city  and  county  law  enforcement  agencies  within  metropolitan  areas.  Excludes  central  cities.  Suburban  cities  and  counties  are  also  included  in  other  groups.  Population 
figures  were  rounded  to  the  nearest  thousand.  All  rates  were  calculated  before  rounding. 


292 


Table  72. — Full-time  Law  Enforcement  Employees,  October  31,  1991 

(Range  in  rate  per  1,000  inhabitants] 


Rate  range 

Total' 

(9,150  cities; 

population 

159,722,000) 

Group  1  (63 

cities,  250,000 
and  over; 
population 
45,426,000) 

Group  II  (129 

cities,   100,000 

to  249,999; 

population 

19,182,000) 

Group  111  (329 

cities,  50,000 

to  99,999; 

population 

22,621,000) 

Group  IV  (669 

cities,  25,000 

to  49,999; 

population 

23.172,000) 

Group  V  (1,634 

cities,  10,000 

to  24,999; 

population 

25,664,000) 

Group  VI 

(6,326  cilies 

under  10,000; 

population 

23,657,000) 

.1-.5 

Number 
Percent 

136 
1.5 

1 
.3 

I 
1 

11 

7 

123 
1.9 

436 

7.2 

.6-1.0 

Number 
Percent 

535 
5.8 

2 
.6 

17 
2.5 

60 

3.7 

1.1-1.5 

Number 
Percent 

1,178 
12.9 

5 

3.9 

37 
1 1  ■" 

89 

13  3 

179 
11.0 

448 
27,4 

868 
13.7 

1,087 
17.2 

1.6-2.0 

Number 
Percent 

1,921 
21.0 

10 
15.9 

46 
35,7 

119 
36.2 

211 
31,5 

2.1-2.5 

Number 
Percent 

1,741 
19.0 

13 
20.6 

32 

24.8 

88 

26.7 

187 

28.0 

456 

27,9 

965 
15.3 

2.6-3.0 

Number 
Percent 

1,272 
13.9 

13 
20.6 

22 
17.1 

47 
14.3 

90 
13.5 

241 
14.7 

859 
13.6 

3.1-3.5 

Number 
Percent 

761 
8.3 

10 
15.9 

18 
14.0 

16 
4.9 

33 
4.9 

134 

8,2 

550 
8.7 

3.6-4.0 

Number 
Percent 

510 
5.6 

6 

9.5 

J 

2.3 

8 
2.4 

23 
3.4 

61 

3.7 

409 
6.5 

4.1-4.5 

Number 
Percent 

298 
3.3 

2 
3.2 

1 
.8 

5 
1.5 

8 
1.2 

23 
1.4 

259 
4.1 

4.6-5.0 

Number 
Percent 

214 
2.3 

5 
7.9 

2 
1.6 

4 
1.2 

5 
.7 

8 
.5 

190 
3.0 

5.1  and  over 

Number 
Percent 

584 
6.4 

4 

6.3 

2 

.6 

5 
.7 

13 

8 

560 
89 

Total 
Percent^ 

9,150 
100.0 

63 
100.0 

129 

100.0 

329 
100.0 

669 

100.0 

1,634 
100.0 

6,326 
100.0 

table. 


'The  number  of  agencies  used  to  compile  these  figures  differs  from  the  other  Law  Enforcement  Employee  tables  because  small  agencies  with  no  resident  papulation  are  excluded  from  this 
^Because  of  rounding,  percentages  may  not  add  to  totals. 


293 


Table  73. — Law  Enforcement  Officers,  October  31, 

(Range  in  rate  per  1,000  inhabitants] 


1991 


Rale  range 

Total' 

(9,150  cities; 

population 

159,722,000) 

Group  I  (63 

cities,  250,000 

and  over; 

population 

45,426,000) 

Group  11  (129 

cities,   100,000 

to  249,999; 

population 

19,182,000) 

Group  III  (329 

cities.  50,000 

to  99,999; 

population 

22,62 1 ,000) 

Group  IV  (669 

cities,  25,000 

to  49,999; 

population 

23,172,000) 

Group  V  (1,634 

cities,   10,000 

to  24,999; 

population 

25,664,000) 

Group  VI 

(6,326  cities 

under  10,000; 

population 

23,657,000) 

\-^ 

Number 
Percent 

159 
1,7 

1 
.3 

3 
.4 

13 
.8 

142 

2.2 

.6-1.0 

Number 
Percent 

Number 
Percent 

737 
g.l 

2.166 

23.7 

3 
2.3 

48 

37.2 

17 
5.2 

134 
40.7 

53 
7.9 

236 

35.3 

112 
6.9 

467 
28.5 

552 

8  7 

1.1-1.5 

13 
20,6 

1,268 
20.0 

1.6-2.0 

Number 
Percent 

2,432 
26.6 

17 
27,0 

40 
31,0 

104 
31.6 

220 
32.9 

563 
34.5 

1,488 
23.5 

2.1-2.5 

Number 
Percent 

1,495 
16.3 

12 
19.0 

21 
16.3 

44 
13.4 

100 
14.9 

292 
17.9 

1,026 
16.2 

2.6-3.0 

Number 
Percent 

851 
9.3 

10 
15.9 

13 
10.1 

17 
5.2 

38 

5.7 

116 
7.1 

657 
10.4 

3.1-3.5 

Number 
Percent 

465 
5.1 

2 
3.2 

4 
3.1 

8 
2.4 

9 
1.3 

45 
2.8 

397 
6.3 

3.6-4.0 

Number 
Percent 

263 
2.9 

7 
11.1 

3 
.9 

5 
.7 

14 
.9 

234 

3.7 

4.1-4  5 

Number 
Percent 

154 
1.7 

1 
1.6 

1 
.3 

2 
.3 

7 
.4 

143 

2.3 

4.6-5  0 

Number 
Percent 

Number 
Percent 

101 
1.1 

327 
3.6 

9,150 
100.0 

4 

.2 

1 
.1 

1 .634 
100.0 

97 

1.5 

5  1  and  over 

1 
1.6 

63 
100.0 

3 
.4 

669 
100.0 

322 

5.1 

Total 
Percent' 

129 
100.0 

329 
100.0 

6,326 
100.0 

'The  number  of 
^Because  of  rou 


agencies  used  to  compile 
nding,  percentages  may 


these  figures  differs  from  the  other  Law  Enforcement  Officer  tables  because  small  agencies  with  no  resident  population  are  excluded  from  this  table, 
not  add  to  totals. 


294 


Table  74. — Law  Enforcement  Employees,  Percent  Male  and  Female,  October  31,  1991 

[1991  estimated  population] 


Population  group 


Total  police  employees 


Total 


Percent 
male 


Percent 
female 


Police  officers  (sworn) 


Total 


Percent 
male 


Percent 
female 


Civilian  employees 


Total 


Percent 
male 


Percent 
female 


TOTAL  AGENCIES:  12,805  agencies; 

papulation  23g.0S6.000:    

TOTAL  CITIES:  9,740  cities; 

papulation  159.722.000:    


735.512 
448.538 


76.0 

77.4 


24.0 
22.6 


535,629 
348,070 


91.0 
91.4 


9.0 
8.6 


199,883 
100.468 


35.8 
28.8 


64.2 
71.2 


GROUP  I 

63  cities.  250.000  and  over; 

population  45,426.000:  

8  cities.  1.000.000  and  over; 

population  20,181.000:  

17  cities,  500,000  to  999,999; 

population  11.545,000:  

38  cities.  250,000  to  499.999; 
population  13.701,000:  


GROUP  II 

129  cities.  100,000  to  249.999; 
population  19,182.000:   


GROUP  MI 

329  cities,  50,000  to  99,999; 
population  22.621,000;  

GROUP  IV 

669  cities.  25.000  to  49,999; 
population  23,172,000:   

GROUP  V 

1.634  cities,  10,000  to  24,999; 
population  25,664,000:  

GROUP  VI 

6,916  cities  under  10,000; 

population  23,657,000:   

SUBURBAN  COUNTIES 
735  agencies;  population  47,475,000:  ,. 

RURAL  COUNTIES 
2^3^gencie^opulaIiori3M59£00. 


163,132 
86,245 
37.575 
39.312 


51,053 

51,407 

57.950 

78,866 
168,942 
I  18,032 


73.8 
72,7 
76.2 
73.8 


79.7 
81.3 

81.1 

72.3 
76.1 


26.2 
27.3 
23.8 
26.2 

23.8 

22.3 


18.7 

18.9 

27.7 
23.9 


125,403 
66.384 
29.404 
29,615 

35.276 

39.053 

40,508 

46,475 

61,355 
109,034 
78,525 


87  I 


95.1 


94.0 


12.9 
14.2 
11.5 
11.5 


6.4 


4.9 

6.0 
11.9 

6  7 


37,729 
19,861 
8,171 
9.697 


12,000 

10.899 

11,475 

17.511 
59,908 
39,507 


29.5 
28.7 
32.1 
29.0 


25.9 

25.0 

25.2 

35.6 
43.6 
41.8 


70.5 
71.3 
67.9 
71.0 


74.8 

64.4 
56.4 
58.2 


SUBURBAN  AREA' 
5.814  agencies;  population  95.686,000: 


293,040 


76.0 


24.0 


206,820 


91.) 


8.9 


86,220 


39.8 


60.2 


'Includes  suburban  city  and  county  law  enforcement  agencies  within  metropolitan  areas.  Excludes  central  cities.  Suburban  cities  and  counties  are  also 
Table  75. — Civilian  Law  Enforcement  Employees,  Percent  of  Total,  Population  Group,  October  31,  1991 

[1991  estimated  population) 


included  in  other  groups. 


Population  group 

Percent 

civilian 
employees 

Population  group 

Percent 

civilian 
employees 

TOTAL  AGENCIES:  12,805  agencies; 

population  238.056,000:    

27.2 
22.4 

GROUP  IV 

669  cities,  25,000  to  49,999, 

population  23,1 72,000:    

TOTAL  CITIES:  9,740  cities; 

21  2 

population  159,722,000:    

GROUP  V 

1.634  cities,  10,000  to  24.999; 

population  25,664.000:    

GROUP  1 

63  cities.  250.000  and  over; 

23,1 
23.0 
21.7 
24,7 

23.5 
23.5 

19  8 

population  45,426.000;    

GROUP  VI 

6.916  cities  under  10,000; 

8  cities.  1.000,000  and  over, 

population  20, 1 8 1 ,000:    

17  cities,  500.000  to  999.999; 

population   1 1 .545,000:    

22.2 

38  cities,  250.000  to  499.999; 

population   13.701,000:    

SUBURBAN  COUNTIES 

735  agencies; 

population  47,475.000:    

GROUP  II 

33  5 

129  cities,   100,000  to  249,999; 

population  1 9, 1 82.000;    

RURAL  COUNTIES 

2,330  agencies; 

population  30,859,000:    

GROUP  111 

35.5 

329  cities,  50.000  to  99,999; 

population  22,62 1 .000:    

SUBURBAN  AREA' 

5,814  agencies; 

population  95.686,000:    

29.4 

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


295 


Table  76. — Full-time  State  Law  Enforcement  Employees,  October  31,  1991 


State 


Total 


ALABAMA: 

Department  of  Public 

Safety  

ALASKA: 

State  Police   

ARIZONA: 

Department  of  Public 

Safety  

ARKANSAS: 

Stale  Police   

CALIFORNIA: 

Highway  Patrol   

Other  state  agencies    — 
COLORADO: 

State  Patrol    

Other  state  agencies   

CONNECTICUT: 

State  Police   

DELAWARE: 

State  Police   

Other  state  agencies   — 
FLORIDA; 

Highway  Patrol   

Other  state  agencies   

GEORGIA: 

Department  of  Public 
Safety  

Other  state  agencies   — 
IDAHO: 

State  Police   

ILLINOIS: 

State  Police    

Other  state  agencies   

INDIANA: 

State  Police   

IOWA; 

Department  of  Public 

Safety  

KANSAS: 

Kansas  Highway  Patrol 
KENTUCKY; 

State  Police   

Other  state  agencies   ... 
LOUISIANA: 

Slate  Police    

MAINE: 

State  Police   

MARYLAND: 

State  Police    

Other  state  agencies   . . . 
MASSACHUSETTS: 

Stale  Police   

MICHIGAN; 

State  Police   

MINNESOTA: 

State  Patrol    

MISSISSIPPI; 

Highway  Safety  Patrol 
MISSOURI; 

State  Highway  Patrol  . . 


Number  of  law  enforcement  employees 


Total 


86,467 


1,3.19 
593 

1,678 

677 

8,507 
407 

779 
134 

1,381 

676 
171 

2,166 
2,612 

1,717 
794 

217 

3,720 
535 

1,716 

773 

804 

1,677 
644 

985 

464 

2,394 
1,493 

1,379 

3.046 

732 

730 

1,793 


Officers 


Male 


55,715 


645 
334 

941 

469 

5,553 
299 

545 
53 

923 

474 
136 

1,497 
1,178 

755 
636 

167 

2,128 
433 

1,029 

524 

538 

955 
477 

668 

323 

1,606 
929 

1,119 

1.948 

490 

493 

846 


Female 


3,144 


50 
18 


508 
35 


22 
9 


29 
10 


147 
109 


151 
31 

43 

24 

39 

17 
28 

6 

13 

127 
164 

92 

176 

19 

8 

15 


Civilians 


Male 


11,267 


232 
89 

338 
70 

981 

25 

50 
24 

172 

66 

12 

379 
481 


286 
15 


575 
30 

284 

96 

113 

435 
32 

113 

69 

295 
203 

88 

441 

89 

57 

553 


Female 


16,341 


454 
154 

349 

120 

1,465 
48 

162 
48 

234 

107 
13 

143 
844 


658 
65 


41 

866 
41 

360 

129 

114 

270 
107 

198 

59 

366 
197 

80 

481 

134 

172 

379 


State 


MONTANA: 

Highway  Patrol    

Other  state  agencies 

NEBRASKA; 
State  Patrol   


NEVADA; 
Highway  Patrol    

NEW  HAMPSHIRE; 
State  Police 

NEW  JERSEY: 
State  Patrol    

NEW  MEXICO: 
State  Police   


NEW  YORK: 
State  Police   

NORTH  CAROLINA: 

Highway  Patrol    

Other  slate  agencies   . 

NORTH  DAKOTA: 
Highway  Patrol    


OHIO: 
State  Highway  Patrol  . 

OKLAHOMA: 

Department  of  Public 

Safety 

OREGON: 

State  Police   

PENNSYLVANIA: 

State  Police    

Other  state  agencies   . . 
RHODE  ISLAND; 

State  Police 

Other  state  agencies   . . 

SOUTH  CAROLINA; 

Highway  Patrol    

Other  state  agencies    . . 
SOUTH  DAKOTA: 

Highway  Patrol    

TENNESSEE: 

Department  of  Public 

Safety  

TEXAS: 

Department  of  Public 

Safety  

UTAH; 

Highway  Patrol    

VERMONT: 

State  Police   

VIRGINIA: 

State  Police   

Other  state  agencies   .. 
WASHINGTON; 

State  Patrol    

WEST  VIRGINIA; 

State  Police    

WISCONSIN: 

State  Patrol    

Other  state  agencies   . . 
WYOMING: 

Highway  Patrol    


Number  of  law  enforcement  employees 


Total 


251 
187 

646 

459 

338 

3,787 
547 

4,663 

1,519 
525 

190 

2,253 

1,233 

1,049 

4,996 
289 

206 
56 


1,217 
1,057 


1,537 

5,458 

382 

433 

2,213 
312 

1,874 

752 

669 

182 

213 


Officers 


Male 


188 
126 

490 

289 
233 

2,552 
393 

3,733 

1,222 
387 

120 

1,186 

714 

810 

3,675 
223 

165 
41 

1,017 
744 

155 
747 

2,800 

337 

279 

1,594 
238 

925 

476 

427 
165 

153 


Female 


9 

17 

7 

32 

20 

55 

17 

58 

17 

35 

64 

535 

7 

49 

245 

8 
32 

2 

57 


115 
17 


16 


Civilians 


Male 


251 

147 
78 

40 

432 

208 

41 

587 
21 

23 
4 

44 
59 

64 
160 


69 

705 

14 

8 

12 

44 

44 
78 

186 

32 

492 

10 

78 

60 

7 

100 

2. 

Female 


NOTE:  The  responsibilities  of  the  various  slate  police,  highway  patrol,  and  departments  of  pubhc  safety  agencies  range  from 
of  these  data  from  state  to  state  must  take  these  factors  and  those  on  page  v  into  consideration. 


full  law  enforcement  duties  to  traffic  patrol  only.  Any  comparison 


296 


Table  77. — Full-time  Law  Enforcement  Employees,  State,  1991 

(1991  estimated  population] 


State 

Total 
employees 

Off 

Male 

cers 
Female 

Civi 
Male 

lans 
Female 

State 

Total 
employees 

Off 

Male 

cers 
Female 

Civi 

Male 

lans 
Female 

Alabama:  302  agencies; 
Population  4,086,000    

11.819 

1.557 

12.678 

5.548 

88,944 

10,603 

8.621 

1.926 

5,148 

51,969 

22.697 

3,281 

2.643 

39,083 

12.731 

5.951 

7.327 

7.577 

12.370 

2.452 

16.636 

15.787 

24.908 

9,288 

5,137 

13,258 

7,619 

897 

6.996 

3.467 

55,052 

6.865 

6.637 

1,439 

3,546 

27.533 

15.051 

2.467 

1.786 

26,662 

8.049 

4.096 

4,897 

5,225 

8.938 

1.799 

11.630 

12.712 

17,067 

6,227 

3.562 

8.715 

652 

66 

593 

181 

6.087 
862 
423 
105 
956 

3.114 

1,985 
171 
242 

2.753 
649 
200 
442 
452 

2.126 
76 

1.362 
760 

1.909 
372 
268 
779 

1.355 
160 

2.218 
825 

8.817 
796 
474 
130 
217 

9,100 

1,787 
198 
133 

3,108 

1,708 
537 
679 
848 
445 
272 

1.325 
837 

2.434 

1.001 
472 

1.619 

2.193 

434 

2.871 

1.075 

18.988 

2.080 

1,087 

252 

429 

12.222 

3,874 

445 

482 

6.560 

2,325 

I.II8 

1.309 

1.052 

861 

305 

2.319 

1.478 

3,498 

1.688 

835 

2,145 

Montana:  97  agencies; 
Population  808.000    

1.986 
3,943 
.3.986 
2.433 

33.386 
4.880 

59,981 

18,712 
1,322 

25.867 
9.610 
6.097 

26.544 
2.791 
9,157 
1,400 

14,164 

57.128 
3.842 
1.166 

16.660 

11.103 
3.690 

1 3.849 
1.876 

1.255 
2,665 
2.462 
1,783 

25,483 
3,094 

41.603 

12.855 
927 

17.461 
6,258 
4,323 

20.464 

2.173 

6.685 

947 

8,793 

33,007 

2.831 

794 

11.911 
7.432 
2.517 
9.728 
1.205 

50 

195 

287 

84 

1.209 

259 

4.921 

1.473 

77 

1.566 

498 

308 

1.762 

96 

523 

53 

747 

3.261 

217 

46 

1.175 

525 

93 

945 

84 

240 

279 

264 

148 

2.168 

482 

3.853 

1.670 

109 

2.534 

1,021 

281 

1,770 

248 

532 

163 

1,882 

8,640 

202 

93 

894 

1.027 

515 

951 

155 

441 

Alaska:  31   agencies; 
Population  562  000    

Nebraska:   159  agencies; 
Population   1  580  000 

804 

Arizona;  90  agencies; 
Population  3.669.000    

Nevada:  30  agencies; 
Population  1,223.000    

973 

Arkansas:   191   agencies; 
Population  2.378.000    

New  Hampshire:  108  agencies; 
Population  916.000    

418 

California;  457  agencies; 
Population  27  664.000        .   . 

New  Jersey:  531  agencies; 
Population  7.460.000    

4.526 

Colorado;  215  agencies; 

Population  3.207.000    

New  Mexico:  98  agencies; 
Population  1,509.000    

1  045 

Connecticut:  99  agencies; 

Population  2.796.000    

New  York:  362  agencies; 
Population   14  697  000 

9  604 

Delaware:  39  agencies; 
Population  522.000    

North  Carolina;  493  agencies; 
Population  6.732.000    

2.714 

District  of  Columbia:   1   agency; 
Population  598.000    

North  Dakota:  93  agencies; 
Population  633.000     

209 

Florida:  358  agencies; 
Population   13.031.000   

Ohio:  500  agencies; 
Population  10,576,000   

4.306 

Georgia:  549  agencies; 
Population  6.487.000    

Oklahoma;  287  agencies; 

Population  3.144.000    

1  833 

Hawaii:  5  agencies; 
Population   1  135  000      

Oregon:   169  agencies: 

Population  2.922.000    

1,185 

Idaho:   100  agencies; 
Population   1.036.000    

Pennsylvania:  928  agencies; 
Population  9,475,000    

2  548 

Illinois:  675  agencies; 
Population   11486.000   

Rhode  Island:  42  agencies; 
Population  999.000            

274 

Indiana:  222  agencies; 
Population  5,241,000    

South  Carolina:  229  agencies; 
Population  3.533.000    

1  417 

Iowa:  221   agencies; 
Population  2.769.000    

South  Dakota:  95  agencies; 
Population  654.000    

237 

Kansas:  309  agencies; 
Population  2.390.000    

Tennessee;  257  agencies; 

Population  4.800.000    

2.742 

Kentucky:  354  agencies; 
Population  3.690.000    

Texas:  856  agencies; 
Population   17,312,000   

12  220 

Louisiana:   153  agencies; 
Population  3.499.000    

Utah:  104  agencies; 
Population   1.728.000    .. 

592 

Maine:   120  agencies; 
Population   1.198.000    

Vermont:  48  agencies; 
Population  561.000    

233 

Maryland:   133  agencies; 
Population  4,841.000    

Virginia:  270  agencies; 
Population  6.274.000    

2  680 

Massachusetts:  288  agencies; 
Population  5.798.000    

Washington:  218  agencies; 
Population  5.013.000    .     . 

7  1 19 

Michigan:  565  agencies; 
Population  9.278.000    

West  Virginia:  272  agencies; 
Population  1.517,000    

565 

Minnesota;  267  agencies; 
Population  4.245.000    

Wisconsin:  300  agencies; 
Population  4.95 1 .000    

2  2''5 

Mississippi:   176  agencies; 
Population  2.136.000    

Wyoming:  67  agencies; 
Population  459  000 

432 

Missouri:  270  agencies; 
Population  4.831.000    

297 


Table  78. — Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1991 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
ofTicers 


ALABAMA 


Abbeville    

Adamsville  

Addison  

Alabaster    

Albertville    

Alexander  City   . 

Aliceville 

Andalusia  

Anniston  

Arab    

Ardmore   

Ashford   

Ashland  

Athens   

Atmore    

Attalla    

Auburn    

Bay  Minette   

Bayou  La  Batre 

Bear  Creek    

Bessemer 

Birmingham    

Blountsville   

Boar   

Brantley    

Brent  

Brewton  

Bridgeport    

Brilliant  

Brookside  

Brundidge    

Butler   

Calera  

Camden  

Camp  Hill   

Carbon  Hill    

Cedar  BlufT  

Centre    

Centreville  

Chatom   

Cherokee    

Chickasaw    

Childersburg  — 

Citronelle   ... 

Clanton    

Clayhalchee  

Clayton    

Columbiana    

Coosada    

Cordova    

Cottonwood    

Courtland  

Creola    

Cullman    

Dadeville    

Daleville   

Daphne   

Decatur   

Demopolis   

Dora   

Dothan    

East  Brewton   .. 

Eclectic    

Elba  

Enterprise  

Eufaula    

Eutaw  

Evergreen   

Fairfield    

I'airhope   

Falkville    

Fayette  

Flint  City  

Flomaton   

Florala   


ALABAMA— Continued 


14 

13 

3 

27 

31 

45 

9 

34 

104 

21 

8 

10 

10 

38 

23 

21 

83 

19 

16 

3 

87 

934 

8 

30 

5 

5 

24 

9 

2 

2 

12 

10 

11 

7 

4 

II 

3 

12 

4 

7 

5 

18 
16 
12 
19 
1 

4 

II 

2 

6 

2 

4 

10 

43 

8 

21 

35 

111 

23 

11 

125 

7 

7 

16 

60 

38 

13 

15 

37 

19 

4 

9 

4 

14 

9 


10 

9 

3 

23 

25 

36 

5 

28 

76 

15 

5 

5 

6 

32 

20 

16 

62 

18 

11 

3 

77 

724 

5 

24 

5 

5 

19 
5 
2 
2 
8 
6 
7 
4 
4 
5 
3 
8 
4 
6 
4 
18 
12 
8 
18 
1 

4 

7 

1 

4 

2 

4 

6 

37 

8 

15 

27 

98 

16 

5 

101 

5 

4 

13 

42 

29 

8 

II 

31 

13 

4 

9 

4 

12 

5 


10 

210 

3 

6 


Florence  

Foley  

Fort  Payne  

Fultondale  

Gadsden  

Gardendale    

Geneva    

Georgiana    

Glencoe  

Goodwater  

Gordo    

Graysville  

Greensboro    

Greenville    

Grove  Hill  

Guin    

Gulf  Shores    

Guntersville    

Gurley    

Haleyville  

Hamilton    

Hanceville   

Hartford    

Hartselle   

Headland   

Henin  

Helena   

Hillsboro  

Hokes  Bluff   

Hollywood   

Homewood    

Hoover    

Hueytown  

Huntsville    

Hurlsboro  

Irondale  

Jackson    

Jacksonville  

Jasper  

Jemison  

Killen   

Kimberly    

Lafayette  

Lanett  

Leeds    

Leighton    

Level  Plains    

Lincoln    

Linden   

Lineville    

Lipscomb    

Littleville    

Livingston    

Luverne  

Madison    

Maplesville    

Marion  

Midfield    

Midland  City 

Millbrook  

Mobile   

Monroeville  

Montevallo    

Montgomery  

Moody   

Morris    

Moulton    

Moundville    

Mountain  Brook 
Mount  Vernon  . 
Muscle  Shoals  .. 
New  Brockton  .. 

New  Hope  

Newton    

Northport  


104 

74 

25 

20 

34 

28 

17 

12 

126 

101 

25 

19 

13 

10 

6 

4 

4 

4 

9 

9 

4 

4 

3 

3 

10 

7 

30 

23 

6 

6 

4 

4 

30 

23 

33 

25 

4 

4 

16 

12 

12 

11 

11 

6 

12 

9 

24 

20 

11 

8 

13 

9 

11 

7 

4 

3 

5 

5 

3 

2 

61 

56 

98 

79 

26 

21 

444 

323 

4 

4 

29 

24 

19 

15 

26 

20 

56 

39 

2 

2 

5 

4 

3 

3 

16 

12 

28 

22 

28 

22 

4 

4 

3 

3 

8 

8 

6 

6 

9 

5 

6 

4 

8 

6 

14 

8 

20 

16 

40 

31 

8 

3 

13 

9 

16 

12 

9 

5 

16 

12 

515 

396 

25 

20 

12 

8 

589 

447 

II 

-7 

11 

10 

9 

6 

61 

46 

5 

4 

28 

28 

4 

4 

4 

4 

7 

3 

45 

37 

298 


Table  78. — Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1991 — Continued 


Cily 


Total 

police 

employees 


Total 
otTicers 


Tolal 
civilians 


City 


Total 

police 

employees 


Total 
ofTicers 


ALABAMA— Continued 


Notasulga  

Oneonta    

Opelika    

Opp  

Orange  Beach    

Owens  Cross  Roads 

Oxford  

Ozark   

Parrish  

Pelham    

Pell  Cily  

Phenix  City    

Phil  Campbell   

Piedmont    

Pinckard   

Pleasant  Grove  

Prattville  

Priceville    

Prichard    

Rainbow  City    

Rainsville  

Red  Bay  

Reform    

Riverside    

Roanoke   

Robertsdale  

Russetlville    

Samson    

Saraland    

Satsuma    

Scottsboro   

Selma   

ShelTield    

Sipsey  

Slocomb    

Snead    

Somerville    

Southside   

Springville    

Steele    

Stevenson  

Sulligent    

Sumiton    

Summerdale    

Sylacauga    

Talladega    

Tallassee   

Tarrant  City  

Thomaston    

Thomasville    

Thorsby  

Town  Creek   

Trinity   

Troy    

Trussville    

Tuscaloosa  

Tuscumbia  

Tuskegee  

Union  Springs  

Uniontown    

Valley  

Vernon    

Vestavia  Hills    

Warrior   

Weaver    

West  Blocton   

Wetumpka   

Wilmer    

Wilton    

Winfield    

York   


ALASKA 


36 
56 
21 
22 

1 
14 

2 

4 

3 
52 
21 
232 
21 
44 
14 

5 
29 

5 
36 

9 
10 

■) 

18 

7 
2 

9 
9 


394 


4 
12 
73 
19 
17 

2 

33 

35 

2 

32 

20 

58 

4 

13 

1 

10 

45 

4 

44 

15 

8 

7 

4 

4 

17 

7 

18 

6 

21 

9 

34 

63 

26 

2 

4 

3 

1 

4 
4 
2 
6 
4 
4 
2 

30 
42 
16 

17 

1 

10 

2 

4 

3 

41 

16 

177 

18 

35 

II 

3 

22 

5 

35 

5 

9 

2 

13 
3 
I 


255 


139 


ALASKA — Continued 


Bethel  

Bristol  Bay  Borough    . 

Cordova    

Craig  

Fairbanks  

Haines   

Homer  

Juneau  

Kenai   

Klawock   

Kodiak  

Kotzebue    

Nome  

North  Pole    

North  Slope  Borough 

Palmer  

Petersburg   

St.  Paul  Island   

Sand  Point    

Seldovia    

Seward  

Skagway    

Soldotna   

Wrangell   


ARIZONA 


Apache  Junction 

Avondale    

Benson  

Bisbee  

Buckeye  

Bullhead  City    ... 

Camp  Verde  

Casa  Grande   

Chandler  

Chino  Valley   

Clarkdale    

Coolidge   

Cottonwood    

Douglas  

Eagar    

EI  Mirage  

Eloy  

Flagstaff   

Florence    

Gilbert  

Glendale  

Globe   

Goodyear   

Hayden   

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   .. 

Quartzsite    

Safford  

St.  Johns    


54 

36 

36 

28 

14 

8 

21 

14 

23 

17 

97 

65 

20 

14 

61 

42 

165 

116 

17 

11 

8 

8 

25 

19 

28 

16 

48 

35 

6 

5 

16 

11 

25 

12 

106 

74 

19 

13 

60 

39 

275 

192 

23 

18 

20 

15 

7 

6 

9 

4 

3 

3 

11 

7 

48 

32 

67 

51 

6 

6 

13 

11 

640 

413 

9 

8 

55 

42 

38 

28 

26 

16 

40 

30 

15 

11 

24 

17 

80 

55 

2.654 

1,982 

3 

3 

21 

13 

77 

51 

24 

15 

5 

4 

15 

14 

7 

6 

299 


Table  78.— Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1991 — Continued 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


ARIZONA— Continued 


San  Luis  

Scottsdale  

Sedona  

Show  Low   

Sierra  Vista  

Snowflake-Taylor 

Somerton   

South  Tucson    ... 

Springerville   

Superior    

Surprise  

Tempe   

Thatcher  

Tolleson    

Tombstone    

Tucson  

Wickenburg  

Willcox    

Williams   

Winslow    

Youngtown    

Yuma   


Alma  

Arkadelphia    . . . 

Ashdown  

Bald  Knob  

Barling  

Beebe   

Benton  

BentonviUe    

Berry ville    

BIytheville    

Booneville    

Bradford   

Brinkley    

Bryant    

Bull  Shoals   .... 

Cabot   

Camden  

Carlisle    

Clarksville   

Conway   

Corning  

Crossett  

Danville    

Dardanelle  

De  Queen    

Dermoti    

Des  Arc    

De  Vails  Bluff  . 

De  Witt    

Dumas  

Earle  

Elaine  

El  Dorado  

England 

Eureka  Springs 

Fayetteville   

Fordyce  

Forrest  City    ... 

Fort  Smith    .... 

Gravelte    

Greenbrier  

Green  Forest   .. 

Greenwood   

Gurdon    

Hamburg    

Harrison    

Hazcn  

Heber  Springs   . 

Helena   

Hope  


ARKANSAS 


ARKANSAS— Continued 


16 

297 
23 
24 
47 
10 
16 
33 
7 
13 
18 

336 
6 
19 
9 

978 
13 
15 
11 
31 
15 

124 


32 

29 

8 

48 

9 

3 

14 

7 

2 

15 

39 

8 

14 

59 

9 

16 

3 

g 

10 

14 

3 

2 

14 

18 

8 

1 

51 

9 

14 

73 

12 

34 

148 

2 

4 

6 

5 

6 

5 

30 

7 

1 

1 

24 


10 
196 
16 
15 
33 

9 
11 
24 

6 

8 

17 
241 

6 
14 

8 

741 

10 

10 

6 
18 

8 
91 


5 

10 
50 
5 
11 
3 
5 
8 
7 
3 
2 

10 

11 

6 

1 

42 

5 

8 

59 

8 

25 

113 

2 

2 

5 

5 

4 

5 

21 

4 

II 

13 

1 


6 

101 

7 

9 

14 

1 

5 

9 

1 

5 

1 

95 


5 
1 
237 
3 
5 
5 

13 
7 

33 


Horseshoe  Bend  ... 

Hot  Springs    

Hoxie   

Jacksonville  

Johnson  

Jonesboro  

Judsonia    

Kensett    

Lake  Village  

Lincoln    

Little  Rock    

Lonoke    

Magnolia    

Malvern    

Marianna    

Marion  

Marked  Tree    

Maumelle  

McGehee    

Mena    

Monticello   

Morrilton    

Mountain  Home    . 

Nashville    

Newport    

North  Little  Rock 

Osceola   

Ozark   

Paragould  

Paris   

Piggolt    

Pine  Bluff   

Pocahontas    

Prairie  Grove    

Prescott   

Rogers    

Russellville    

Searcy  

Sheridan   

Sherwood   

Siloam  Springs    ... 

Smackover  

Springdale    

Star  City    

Stuttgart    

Texarkana    

Trumann    

Van  Buren  

Vilonia  

Waldron    

Walnut  Ridge    .... 

Warren    

West  Fork    

West  Helena  

West  Memphis    ... 
Wynne   


CALIFORNIA 


Adelanto  

Alameda   

Albany   

Alhambra   

Alturas  

Anaheim   

Anderson    

Angels  Camp   . . 

Antioch    

Arcadia    

Areata    

Arroyo  Grande 

Arvin    

Atascadero  

Atherton   

Atwater   


7 

6 

94 

76 

8 

4 

61 

45 

4 

3 

77 

61 

4 

3 

2 

2 

12 

7 

3 

3 

493 

373 

10 

6 

22 

16 

21 

14 

16 

12 

8 

8 

12 

8 

33 

21 

13 

9 

9 

9 

20 

14 

17 

11 

23 

17 

9 

8 

16 

15 

193 

143 

27 

19 

8 

6 

32 

27 

12 

7 

7 

6 

143 

1  14 

21 

11 

5 

4 

10 

6 

50 

37 

41 

31 

33 

24 

6 

5 

54 

46 

33 

21 

5 

4 

64 

46 

3 

3 

28 

18 

63 

57 

15 

10 

28 

23 

2 

1 

6 

6 

12 

7 

17 

10 

1 

2 

25 

20 

75 

58 

17 

16 

23 

15 

137 

94 

33 

29 

163 

96 

9 

8 

524 

348 

24 

15 

9 

8 

117 

82 

98 

77 

27 

20 

31 

23 

17 

11 

37 

28 

24 

19 

29 

23 

300 


Table  78. — Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1991 — Continued 


City 


Total 

police 

employees 


Total 
officers 


Total 

civilians 


City 


Total 

police 

employees 


Total 
officers 


CALIFORNIA— Continued 


Auburn    

Azusa 

Bakersfietd  

Baldwin  Park  

Banning' 

Barstow   

Bear  Valley  Springs 

Beaumont  

Bell    

Bell  Gardens    

Belmont    

Belvedere   

Benicia  

Berkeley    

Beverly  Hills    

Biggs   

Bishop   

Blue  Lake    

BIythe  

Brawley   

Brea  

Brentwood  

Brisbane    

Broadmoor    

Buena  Park  

Burbank    

Burlingame    

Calexico    

California  City    

Calpatria  

Calistoga  

Campbell    

Capitola    

Carlsbad   

Carmel  

Carpinteria    

Cathedral  City    

Ceres  

Chico    

China  Lake  

Chino  

Chowchilla  

Chula  Vista    

Claremont    

Clayton    

Clearlake  

Cloverdale   

Clovis  

Coachella   

Coalinga   

Colfax    

Colma    

Collon    

Colusa    

Compton    

Concord    

Corcoran  

Coming  

Corona  

Coronado   

Costa  Mesa  

Cotati  

Covina  

Crescent  City  

Culver  City  

Cypress   

Daly  City  

Davis    

Delano  

Del  Rey  Oaks  

Dinuba    

Dixon  

Dorris  

Dos  Palos    

Downey  


27 
75 

332 
80 
49 
49 
17 
31 
56 
72 
45 
7 
48 

304 

194 

2 

22 

2 

26 

36 

127 

17 

20 

9 

140 

229 
65 
44 
17 
5 
13 
55 
34 

109 
30 
25 
60 
54 

102 
54 

123 
19 

229 
58 
10 
25 
15 
98 
27 
21 
7 

16 
89 
10 

191 

206 
20 
20 

179 
57 

192 
20 
83 
14 

153 
80 

142 

72 

51 

5 

25 

18 

5 

7 

157 


20 

53 
247 
60 
31 
35 

5 
20 
40 
52 
29 

7 


33 

15 

182 

122 

128 

66 

7 

14 

8 

^ 

17 

9 

27 

9 

103 

24 

14 

3 

15 

5 

8 

1 

89 

51 

142 

87 

46 

19 

26 

18 

12 

5 

4 

1 

9 

4 

41 

14 

23 

11 

81 

28 

19 

11 

19 

6 

39 

21 

34 

20 

62 

40 

46 

8 

80 

43 

13 

6 

149 

80 

39 

19 

8 

2 

18 

7 

10 

5 

67 

31 

19 

8 

15 

6 

6 

1 

12 

4 

62 

27 

9 

1 

125 

66 

147 

59 

15 

5 

14 

6 

114 

65 

41 

16 

138 

54 

13 

7 

51 

32 

13 

1 

116 

37 

53 

27 

104 

38 

52 

20 

35 

16 

s 

18 

7 

15 

3 

-t 

3 

7 

33 


CALIFORNIA— Continued 

Dunsmuir  

East  Palo  Alto    

El  Cajon  

El  Centre  

El  Cerrito    

El  Monte   

El  Segundo   

Emeryville   

Escalon    

Escondido    

Etna    

Eureka   

Exeter  

Fairfax  

Fairfield    

Farmersville   

Femdale   

Firebaugh  

Folsom  

Fontana  

Fort  Bragg  

Fortuna  

Foster  City    

Fountain  Valley    

Fowler   

Fremont    

Fresno    

Fullerton  

Gait  

Gardena    

Garden  Grove  

Gilroy  

Glendale  

Glendora    

Gonzales  

Grass  Valley  

Greenfield    

Gridley    

Grover  City    

Guadalupe  

Gustine    

Half  Moon  Bay   

Hanford    

Hawthorne  

Hayward  

Healdsburg    

Hemet 

Hercules   

Hermosa  Beach    

Hillsborough  

Hollister    

Holtville    

Hughson    

Huntington  Beach  

Huntington  Park    

Huron    

Imperial    

Indio  

Inglewood  

lone  

Irvine   

Irwindale    

Isleton    

Jackson   

Kensington    

Kerman  

King  City  

Kingsburg  

Laguna  Beach    

La  Habra   

Lakeport   

Lake  Shastina   

La  Mesa   

La  Palma  

La  Verne    


6 

38 

210 

70 

43 

145 

86 

47 

13 

201 

I 

57 

13 

17 

138 

11 

3 

13 

43 

170 

31 

21 

58 

84 

5 

289 

644 

221 

24 

121 

230 

69 

316 

78 

10 

27 

12 

16 

26 

9 

10 

15 

49 

136 

280 

27 

68 

21 

60 

34 

26 

13 

9 

362 

101 

8 

12 

71 

293 

5 

192 

26 

8 

11 

11 

14 

19 

15 

80 

88 

14 

4 

81 

30 

54 


5 
35 

132 
46 
37 

110 

65 

31 

8 

136 

1 

41 

12 

12 

86 

10 

3 

8 

34 

104 
18 
15 
42 
61 
5 

198 

420 

150 
16 
93 

165 
43 

215 
53 
9 
19 
II 
10 
17 


13 
36 
90 
179 
17 
49 
17 
40 
27 
22 

9 

6 

225 

67 

3 

10 

45 

199 

4 
130 
21 

8  . 

9 
11 
11 
14 
II 
47 
61 
12 

3 
59 
24 
39 


301 


Table  78. — Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1991 — Continued 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


CALIFORNIA— Continued 


CALIFORNIA— Continued 


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    

Marina  

Martinez  

Marysville    

Maywood   

McFariand  

Menlo  Park  

Merced    

Millbrae    

Mill  Valley    

Milpitas  

Modesto   

Monrovia   

Montclair   

Montebello    

Monterey    

Monterey  Park    . . 

Moraga    

Morgan  Hill   

Morro  Bay    

Mountain  View    . 
Mount  Shasta    ... 

Napa  

National  City  

Nevada  City  

Newark    

Newman   

Newport  Beach  .. 

Novato  

Oakdale  

Oakland    

Oceanside  

Ontario    


Orange  

Orland   

Oroville  

Oxnard    

Pacifica   

Pacific  Grove    

Palm  Springs   

Palo  Alto   

Pales  Verdes  Estates 

Paradise    

Pasadena    

Paso  Robles   

Patterson    

Perris    

Petaluma    

Piedmont   

Pinole  

Pismo  Beach    

Pittsburg  

Placentia  

Placerville    

Pleasant  Hill    

Pleasanton  

Pomona  

Porterville    

Port  Hueneme  


26 
20 
22 

118 
18 

103 
60 
1,009 
31 
44 
10,864 
37 
68 
53 
18 
74 
69 
31 
56 
34 
33 
11 
64 

109 
32 
29 

102 

287 
79 
73 

123 
70 

117 
13 
45 
25 

117 
14 

109 

110 

10 

77 

9 

219 

68 

29 

1,074 

266 

235 

223 
10 
37 

218 
56 
40 

126 

165 
31 
38 

349 
38 
20 
53 
79 
27 
43 
31 
87 
67 
26 
64 
95 

268 
64 


20 
13 
14 
62 
13 
69 
40 
664 
25 
29 
!,198 
24 
43 
41 
15 
58 
46 
26 
43 
23 
23 

5 
42 
75 
24 
22 
74 
202 
57 
52 
90 
52 
75 
12 
32 
17 
82 

9 
71 
77 

8 
54 

8 
151 
49 
21 
671 
180 
172 
150 

9 
25 
141 
43 
29 
84 
91 
23 
23 
220 
31 
16 
35 
54 
20 
23 
20 
70 
51 
21 
42 
65 
162 
40 
20 


6 

7 

8 
56 

5 

34 

20 

345 

6 
15 
2,666 
13 
25 
12 

3 

16 
23 

5 

13 
11 
10 

6 
22 
34 

8 

7 
28 
85 
22 
21 
33 
18 
42 

1 
13 

8 
35 

5 
38 
33 

2 
23 

1 
68 
19 

8 

403 

86 

63 

73 

1 
12 
77 
13 
11 
42 
74 

8 

15 

129 

7 

4 
18 
25 

7 
20 
II 
17 
16 

5 

22 

30 

106 

24 

8 


Red  Bluff  

Redding    

Redlands  

Redondo  Beach    

Redwood  City  

Reedley   

Rialto  

Richmond    

Ridgecrest    

Rio  Dell    

Rio  Vista   

Ripon  

Riverbank    

Riverside    

Rocklin    

Rohnert  Park  

Roseville  

Ross    

Sacramento   

St.  Helena   

Salinas   

San  Anselmo    

San  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   

Scolts  Valley    

Seal  Beach  

Seaside  

Sebastopol   

Selma   

Shafter  

Sierra  Madre    

Signal  Hill  

Simi  Valley  

Soledad   

Sonoma  

Sonora    

South  Gate   

South  Lake  Tahoe    .. 

South  Pasadena    

South  San  Francisco 

Stallion  Springs    

Stockton    

Suisun  City  

Sunnyvale  

Susanville  

Sutter  Creek  

Taft   

Tiburon  

Torrance  

Tracy    


32 

21 

159 

94 

94 

70 

170 

104 

112 

75 

32 

23 

137 

93 

265 

181 

52 

36 

4 

4 

7 

6 

19 

13 

21 

16 

427 

296 

42 

29 

75 

48 

102 

58 

7 

7 

919 

616 

16 

12 

182 

135 

22 

16 

58 

47 

46 

35 

69 

49 

4 

4 

2.608 

1,886 

50 

34 

2.316 

1,840 

61 

50 

30 

24 

34 

23 

1,635 

1,170 

4 

4 

131 

86 

81 

54 

30 

24 

144 

102 

53 

40 

102 

73 

597 

399 

219 

138 

182 

146 

112 

77 

98 

75 

308 

175 

35 

29 

205 

140 

34 

23 

25 

17 

52 

37 

43 

33 

19 

14 

33 

22 

17 

12 

20 

15 

44 

32 

157 

110 

12 

10 

22 

14 

16 

12 

126 

91 

75 

54 

48 

29 

114 

75 

3 

3 

448 

288 

36 

24 

180 

118 

15 

14 

6 

5 

19 

14 

21 

15 

316 

238 

56 

42 

302 


Table  78. — Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1991 — Continued 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
ofTicers 


CALIFORNIA— Continued 


Trinidad    

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   

Whittier    

Williams   

WiUits    

Willows  

Winters    

Woodlake  

Woodland    

Yreka   

Yuba  City    


COLORADO 


Alamosa    

Antonito   

Arvada  

Aspen  

Ault  

Aurora   

Avon  

Basalt    

Berthoud  

Boulder   

Bow  Mar    

Breckenridge  

Brighton    

Broomfield    

Brush    

Buena  Vista   

Burlington    

Canon  City  

Carbondale    

Castle  Rock    

Cedaredge    

Center    

Cherry  Hills  Village 
Colorado  Springs  . . . 
Columbine  Valley   .. 

Commerce  City    

Cortcz    

Craig  

Crested  Butte  

Cripple  Creek   

Dacono    

De  Beque  

Del  Norte    

Delta  

Denver  

Durango    

Eagle  

Eaton   

Edgewater    

Empire  


COLORADO— Continued 


4 

68 

3 

83 

118 

41 

29 

100 

110 

111 

201 

188 

69 

124 

105 

10 

71 

13 

158 

151 

5 

86 

7 

125 

7 

16 
10 
10 
9 
71 
21 
55 


22 

4 

168 

37 

3 

540 

9 

5 

5 

183 

2 

22 

38 

52 

11 

6 

7 

34 

8 

18 

7 

6 

23 

602 

2 

55 

32 

22 
5 

11 
6 
1 
5 

12 
1.623 

43 
3 
6 

16 
1 


4 
41 

3 
55 
84 
32 
22 
63 
79 
70 
137 
121 
52 
83 
76 

8 
52 

9 
114 
101 

5 
58 

6 
90 

6 
10 

9 

9 

8 
53 
14 
38 


19 
4 

119 

22 

3 

373 
8 
4 
4 

123 
2 

15 

28 

37 

9 

5 

7 

23 

7 

14 

3 

6 

21 

426 

2 

41 

21 

15 

5 

7 

4 

1 

4 

11 

1,361 

26 

3 

5 

13 
1 


27 


167 

I 

1 

I 

60 


2 
176 


1 

1 

262 

17 


Englewood  

Erie   

Estes  Park   

Evans   

Fairplay  

Federal  Heights    

Firestone  

Flagler   

Florence    

Fort  Collins    

Fori  Lupton   

Fort  Morgan    

Fountain  

Fowler    

Frederick    

Frisco  

Fruita  

Georgetown  

Glendale   

Glenwood  Springs  

Golden  

Granada   

Grand  Junction    

Greeley    

Green  Mountain  Falls 

Greenwood  Village  

Gunnison   

Haxtun    

Hayden    

Holly  

Holyoke  

Idaho  Springs    

Ignacio  

Johnstown    

Julesburg    

Kersey    

Kremraling    

Lafayette  

La  Jara    

La  Junta  

Lamar    

La  Salle  

Las  Animas    

Leadville  

Limon    

Littleton    

Lochbuie  

Log  Lane  Village  

Longmont  

Louisville   

Loveland  

Manassa    

Manitou  Springs    

Manzanola  

Meeker    

Milliken    

Mintum    

Monte  Vista  

Montrose    

Monument  

Morrison  

Mountain  View    

Mount  Crested  Butte    . 

Nederland    

New  Castle   

Northglenn    

Oak  Creek  

Olathe    

Pagosa  Springs    

Palisade  

Palmer  Lake  

Paonia   

Parachute  

Parker    

Platleville  


89 

62 

4 

3 

23 

14 

15 

12 

2 

2 

26 

17 

3 

3 

10 

6 

163 

104 

18 

12 

25 

20 

22 

15 

2 

2 

5 

4 

9 

8 

7 

6 

3 

3 

36 

27 

22 

19 

34 

25 

97 

65 

127 

83 

1 

1 

57 

43 

21 

13 

2 

2 

3 

3 

2 

2 

3 

3 

8 

7 

4 

4 

4 

4 

3 

3 

2 

2 

4 

4 

24 

19 

3 

3 

19 

16 

25 

19 

5 

5 

6 

6 

7 

6 

5 

4 

68 

52 

3 

3 

2 

2 

124 

84 

20 

17 

76 

50 

18 

12 

4 

4 

3 

3 

4 

3 

19 

14 

25 

22 

6 

3 

1 

1 

2 

2 

6 

5 

4 

3 

2 

2 

65 

48 

2 

2 

3 

3 

4 

4 

3 

3 

3 

3 

3 

3 

8 

2 

19 

13 

4 

4 

303 


Table  78. — Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1991 — Continued 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


COLORADO— Continued 


Pueblo   

Rangely   

Ridgway    

Rifle    

Rocky  Ford    

Salida   

Sheridan   

Silt   

Silverthome    

Snowmass  Village    . 

Sprifigfield   

Steamboat  Springs 

Sterling    

Stratton   

Thornton    

Trinidad    

Vail    

Victor 

Walsenburg   

Westminster   

Wheat  Ridge    

Wiggins   

Windsor    

Woodland  Park    ... 

Wray  

Yuma   


CONNECTICUT 


Ansonia  

Avon  

Berlin   

Bethel  

Bloomfield  

Branford   

Bridgeport    

Bristol    

Brookfietd    

Canton  

Cheshire    

Clinton    

Coventry  

Cromwell    

Danbury    

Darien    

Derby  

East  Hampton  

East  Hartford    

East  Haven  

Easton 

East  Windsor  

Enfield  

Fairfield    

Farmington    

Glastonbury    

Granby    

Greenwich    

Groton  

Groton  Long  Point 

Groton  Town  

Guilford    

Hamden    

Hartford    

Jeweti  City   

Madison    

Manchester   

Meriden    

Middlebury    

Middletown  

Milford    

Monroe    

Naugatuck   

New  Britain    

New  Canaan    

New  Haven    


CONNECTICUT— Continued 


226 
11 

1 
16 

g 
13 
28 

3 

10 
10 

3 
24 
35 

1 

115 

26 

49 

2 

16 

153 

82 

I 

9 
18 
11 
10 


44 
36 
46 
36 
61 
43 

400 

111 
35 
19 
54 
26 
15 
27 

142 
56 
27 
15 

141 
52 
19 
21 
98 

110 
55 
73 
16 

176 

38 

6 

73 

40 

120 

582 
11 
43 

130 

129 
10 

117 

117 
40 
52 

158 
47 

428 


175 

6 

1 

10 

7 

11 

20 

3 

9 

7 

3 

20 

22 

1 

80 

18 

30 

2 

10 

107 

57 

1 

8 

13 

6 

6 


38 
29 
37 
30 
50 
41 

355 

103 
29 
14 
45 
23 
11 
21 

134 
49 
25 
13 

117 
47 
14 
16 
80 
92 
42 
54 
II 

155 
32 
6 
62 
35 
97 

453 

7 

35 

98 

110 

8 

95 

103 
33 
45 

143 
43 

348 


II 

5 
23 
129 

4 

8 
32 
19 

2 

22 

14 
7 
7 

15 
4 

80 


Newington  

New  London    . . 
New  Milford    .. 

Newtown    

North  Branford 
North  Haven    .. 

Norwalk    

Norwich    

Old  Saybrook    . 

Orange  

Plainfield    

Plainville    

Plymouth    

Putnam    

Ridgefield  

Rocky  Hill    .... 

Seymour   

Shelton    

Simsbury    

Southington  

South  Windsor 

Stamford  

Stonington   

Stratford   

Suffield    

Thomaston    

Torrington   

Trumbull    

Vernon 

Wallingford   

Waterbury    

Waterford  

Watertown   

West  Hartford  . 
West  Haven   ... 

Weston    

Westport  

Wethersfield    ... 

Willimantic  

Wilton    

Windsor    

Windsor  Locks 

Winsted  

Wolcott    

Woodbridge    . . . 


DELAWARE 


Bethany  Beach    ... 

Bethel  

Blades    

Bridgeville    

Camden- Wyoming 

Clayton   

Dagsboro    

Delmar    

Dewey  Beach  

Dover  

Elsmere   

Fenwick  Island   ... 

Georgetown  

Greenwood    

Harrington  

Laurel  

Lewes   

Middletown  

Milford    

Millsboro    

Milton    

Newark    

New  Castle   

Newport    

Ocean  View    

Rehoboth  Beach  .. 
Seaford    


53 

43 

95 

81 

55 

42 

41 

33 

22 

20 

53 

44 

199 

167 

92 

77 

28 

22 

44 

34 

19 

18 

37 

30 

22 

18 

19 

15 

42 

37 

37 

30 

28 

27 

64 

54 

40 

33 

63 

56 

43 

35 

333 

288 

42 

33 

110 

96 

19 

14 

14 

11 

76 

70 

75 

65 

60 

47 

88 

71 

345 

295 

49 

44 

42 

32 

149 

123 

133 

117 

15 

14 

75 

66 

53 

42 

40 

35 

42 

39 

59 

50 

25 

19 

24 

20 

29 

20 

28 

22 

304 


Table  78. — Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1991 — Continued 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


Citv 


Total 

police 

employees 


Total 
ofTicers 


DELAWARE— Continued 


FLORIDA— Continued 


Selbyville    

Smyrna    

South  Bethany 
Wilmington   ... 


DISTRICT  OF  COLUMBIA 

Washington  

FLORIDA 


Alachua  

Altamonte  Springs    

Apalachicola  

Apopka    

Arcadia    

Atlantic  Beach  

Atlantis    

Aubumdale  

Avon  Park  

Bal  Harbour  

Bartow  

Bay  Harbor  Islands   ... 

Belleair    

Belleair  Beach   

Belleair  Bluffs   

Belle  Glade  

Belleview    

Biscayne  Park    

Blountstown    

Boca  Raton  

Bonifay    

Bowling  Green    

Boynton  Beach   

Bradenton    

Bradenton  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 

De  Funiak  Springs  

De  Land  

Delray  Beach  

Dundee    

Dunedin    

Dunnellon    

Eagle  Lake  

Eatonville  


4 

19 

5 

346 


5.148 


14 
117 

5 
49 
23 
30 
31 
31 
23 
27 
57 
27 
15 

6 

8 
58 
14 

7 

12 

204 

5 

4 
148 
98 

9 
29 

7 

7 

19 
150 
67 

2 

1 

6 

10 

8 

6 

331 

23 

21 

67 

61 

74 

2 

54 

200 

214 

10 

25 

4 

22 

18 

5 

137 

274 

29 

13 

71 

201 

12 

64 

9 

5 

9 


4 

14 

5 

283 


4,502 


10 
85 

5 

42 

16 

22 

15 

23 

15 

22 

41 

22 

10 

5 

7 

46 

12 

7 

7 

126 

5 

4 

122 

80 

8 

18 
6 
6 
14 
104 
44 
2 

1 

6 
9 

7 

6 

227 

17 

13 

51 

49 

53 

2 

43 
142 
146 

6 
18 

4 
19 
18 

5 

103 

210 

20 

12 

50 

134 

8 
51 

7 

5 


646 


16 


104 

6 

8 

16 

12 

21 


Edgewater    

Edgewood  

El  Portal  

Eustis 

Fellesmere    

Femandina  Beach  

Flagler  Beach  

Florida  City    

Fort  Lauderdale  

Fort  Meade  

Fort  Myers    

Fort  Pierce    

Fort  Walton  Beach  .... 

Frostproof   

Fruitland  Park    

Gainesville  

Golden  Beach   

Graceville  

Greenacres  City    

Green  Cove  Springs    .. 

Groveland    

Gulf  Breeze    

Gulfport    

Gulf  Stream    

Haines  City    

Hallandale   

Havana    

Hialeah    

Hialeah  Gardens   

Highland  Beach    

High  Springs    

Hillsboro  Beach   

Holly  Hill    

Hollywood   

Holmes  Beach  

Homestead    

Howey-in-the-Hills    

Indialantic   

Indian  Harbour  Beach 
Indian  River  Shores    .. 
Indian  Rocks  Beach    .. 

Indian  Shores    

Inverness    

Jacksonville  

Jacksonville  Beach   

Jasper  

Juno  Beach  

Jupiter   

Jupiter  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   

Longboat  Key   

Longwood    

Lynn  Haven  

Madeira  Beach    

Madison 

Maittand   


38 

29 

8 

7 

6 

6 

41 

30 

6 

6 

30 

23 

14 

9 

30 

19 

731 

463 

19 

14 

189 

133 

143 

106 

62 

48 

14 

9 

8 

7 

313 

205 

13 

12 

10 

6 

79 

43 

19 

15 

12 

7 

19 

17 

31 

24 

8 

8 

52 

39 

121 

94 

11 

8 

442 

319 

28 

23 

10 

10 

10 

6 

16 

13 

31 

22 

449 

301 

17 

10 

100 

79 

4 

4 

16 

11 

23 

16 

20 

19 

13 

12 

12 

11 

14 

13 

145 

1,253 

63 

45 

9 

7 

16 

13 

93 

74 

4 

4 

17 

14 

13 

II 

103 

73 

126 

83 

20 

14 

12 

8 

37 

30 

10 

10 

8 

5 

5 

5 

283 

203 

26 

20 

33 

26 

46 

35 

135 

94 

33 

23 

169 

116 

17 

14 

58 

47 

36 

28 

25 

19 

38 

32 

18 

13 

18 

15 

13 

12 

46 

32 

305 


Table  78. — Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1991 — Continued 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


Cn\ 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


FLORIDA— Continueil 

Manalapan  

Mangonia  Park  

Margate  

Marianna    

Mascotle  

Medley  

Melbourne  

Melbourne  Beach    

Mexico  Beach   

Miami    

Miami  Beach  

Miami  Shores   

Miami  Springs    

Miccosukee   

Milton   

Minneola    

Miramar   

MonticeUo  

Mount  Dora  

Mulberry  

Naples   

Neptune  Beach   

Nevi  Port  Richey    

New  Smyrna  Beach  

Niceville   

North  Bay  Village 

North  Lauderdale   

North  Miami  

North  Miami  Beach    

North  Palm  Beach  

North  Port    

Oak  Hill  

Oakland    

Oakland  Park    

Ocala    

Ocean  Ridge    

Ocoee  

Okeechobee  

Opa  Locka    

Orange  City    

Orange  Park  

Orlando  

Ormond  Beach   

Oviedo  

Pahokee  

Palatka  

Palm  Bay  

Palm  Beach    

Palm  Beach  Gardens    

Palm  Beach  Shores    

Palmetto  

Palm  Springs   

Panama  City    

Panama  City  Beach  

Parker    

Parkland  

Pembroke  Pines  

Pensacola  

Perry  

Pinellas  Park   

Plantation    

Plant  City    

Pompano  Beach  

Ponce  Inlet   

Port  Orange   

Port  Richey    

Port  St.  Joe   

Port  St.  Lucie   

Punta  Gorda    

Quincy  

Redington  Beach  

Riviera  Beach    

Rockledge  

Royal  Palm  Beach    

St.  Augustine  


FLORI  DA— CoDtiDiKd 


II 
15 

131 

20 

4 

36 

179 

9 

4 

1,391 

457 
40 
47 
15 
23 
4 
95 
12 
31 
13 

122 
18 
38 
62 
18 
27 
67 

124 

131 

44 

36 

4 

1 

106 

181 
16 
35 
22 
75 
19 
27 

785 
83 
37 
21 
42 

154 

119 

91 

8 

37 

31 

102 

40 

7 

18 

167 

201 
22 

105 

221 
74 

330 
13 
73 
14 
16 

121 

35 

64 

8 

102 
44 
39 
45 


7 

15 
95 
15 

4 
28 
133 

8 

4 
1,069 
315 
33 
39 
12 
17 

4 
80 

9 
24 

9 
80 
12 
29 
45 
13 
20 
52 
103 
97 
35 
23 

4 

1 
77 
120 
II 
26 
16 
47 
14 
21 
545 
63 
27 
14 
29 
98 
75 
74 

7 
28 
22 
79 
32 

6 

16 

132 

147 

20 

70 

142 

54 

255 

8 
56 

9 
II 
83 
24 
53 

7 
81 
33 
28 
35 


322 
142 
7 
8 
3 
6 


29 

61 

5 

9 

6 

28 

5 

6 

240 

20 

10 

7 

13 

56 

44 

17 

1 

9 

9 

23 

8 

I 

2 

35 

54 

2 

35 

79 

20 

75 

5 

17 

5 

5 

38 

II 

II 

I 

21 

II 

II 

10 


St.  Augustine  Beach  . 

St.  Cloud  

St.  Petersburg    

St.  Petersburg  Beach  . 

Sanford    

Sanibel  

Sarasota  

Satellite  Beach    

Sea  Ranch  Lakes  

Sebastian    

Sebring    

Seminole  Big  Cypress 

Sewall's  Point    

Sneads   

South  Bay    

South  Daytona   

South  Miami   

South  Palm  Beach    ... 

Springfield  

Starke  

Stuart   

Sunrise  

Surfside  

Sweetwater 

Tallahassee    

Tampa   

Tarpon  Springs  

Tavares    

Temple  Terrace    

Tequesta  

TitusviUe    

Treasure  Island  

Umatilla   

Valparaiso   

Venice   

Vero  Beach  

Virginia  Gardens  

Waldo    

Wauchula  

Webster  

West  Melbourne  

West  Miami    

West  Palm  Beach   .... 

Wewahitchka   

Wildwood  

Williston  

Wilton  Manors   

Windemere   

Winter  Garden   

Winter  Haven   

Winter  Park   

Winter  Springs   

Zephyrhills    

Zolfo  Spring  


GEORGLA 


Abbeville  . 
Acworth  . . 
AdairsviUe 

Adel    

Alamo    

Alapaha  ... 

Albany  

Alma  

Alpharetta 
Americus    . 

Aragon  

Arcade  — 
Arlington  . 
Ashbum    . . 

Athens   

Atlanta  

Attapulgus 
Auburn    . . . 


10 

9 

41 

30 

723 

502 

52 

32 

96 

77 

36 

24 

280 

186 

22 

16 

11 

9 

32 

23 

34 

25 

37 

26 

8 

8 

4 

2 

15 

10 

32 

23 

58 

47 

9 

9 

17 

12 

20 

14 

58 

44 

166 

123 

27 

21 

21 

18 

435 

303 

1,087 

830 

56 

42 

23 

17 

53 

35 

20 

15 

99 

73 

24 

20 

8 

7 

13 

8 

58 

39 

87 

61 

6 

6 

7 

6 

12 

10 

3 

3 

21 

19 

16 

15 

345 

226 

18 

13 

15 

10 

41 

31 

6 

6 

36 

28 

93 

64 

89 

67 

55 

40 

32 

23 

4 

4 

2 

2 

20 

16 

10 

8 

18 

16 

■) 

2 

2 

2 

231 

206 

19 

14 

33 

21 

53 

42 

8 

3 

4 

4 

14 

10 

324 

264 

.101 

1,533 

2 

1 

5 

4 

306 


Table  78. — Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1991 — Continued 


City 


Total 
police 

employees 


Total 
ofTicers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


GEORGIA— Continued 


GEORGIA— Continued 


Augusta  

Austell    

Avondale  Estates 

Bambndge  

Baldwin 

Ball  Ground  

Bamesville  

Baxley    

Blackshear   

Blairsville  

Blakely  

Bloomingdale  

Blue  Ridge    

Boston    

Bowdon  

Braselton    

Bremen    

Brooklet    

Broxton   

Brunswick    

Buchanan   

Buena  Vista    

Butler  

Byron   

Cairo    

Calhoun    

Camilla   

Canon    

Carrollton  

Canersville    

Cave  Spring    

Cedartown  

Centerville  

Chamblee  

Chatswonh   

Chauncey   

Chickamauga   

Clarkesville    

Clarkslon    

Claxton   

Clayton    

Cleveland  

Climax  

Cochran    

Cohutta  

Colbert    

Coolidge   

College  Park  

Collins   

Colquitt  

Columbus  

Comer    

Commerce   

Conyers  

Cordele   

Cornelia    

Covington    

Crawfordville   

Cumming  

Cusseta    

Cuihbert   

Dallas  

Dalton    

Danielsville  

Danen    

Davisboro    

Dawson   

Decatur   

Demorest    

Doerun    

Donalsonville  

Doraville    

Douglas  

Douglasville    

Dublin  


182 
16 

9 

43 

6 

■> 

12 

15 

II 

4 

21 

7 

5 

4 

11 

1 

15 

3 

6 

93 

3 

6 

5 

12 
21 
35 
18 
22 
59 
51 
2 

25 

9 

35 

15 

1 

9 

6 

13 

9 

8 

6 

1 

II 

I 

2 

3 

94 

1 

6 

472 

2 

18 

50 

35 

15 

48 

1 

12 

13 

8 

15 

76 

8 
1 

23 
55 
3 
5 
13 
33 
41 
40 
46 


154 
II 
9 

35 
6 
2 

II 

11 

10 

4 

16 

6 

5 

4 

7 

I 

15 

3 

5 

76 

3 

4 

5 

9 

17 

30 

14 

20 

52 

42 

2 

21 
6 

30 

12 
I 
6 
5 

12 


6 

1 

10 
1 

' 

1 
3 

' 

79 
1 

15 

5 

1 

369 

103 

-) 

12 

6 

35 

15 

30 

5 

15 

45 

1 

3 

Duluth  

East  Dublin  

East  Ellijay  

Eastman    

East  Point   

Eatonton  

Edison   

Elberton    

Ellaville  

Ellijay  

Emerson   

Enigma    

Eton    

Fairbum   

Fairmounl   

Fayetteville    

Fitzgerald  

Floweo  Branch    

Foikston    

Forest  Park    

Forsyth    

Fort  Gaines    

Fort  Oglethorpe   

Fort  Valley   

Gainesville  

Garden  City  

Georgetown  

Gibson  

Glennville    

Glenwood  

Gordon   

Grantville  

Gray   

Greensboro   

Griffin   

Grovetown  

Hagan  

Hahira   

Hamilton    

Hampton    

Hapeville    

Harlem    

Hartwell    

Hawkinsville  

Hazlehurst   

Helen   

Hepzibah    

Hiawassee    

Hilltonia   

Hinesville  

Hiram    

Hoboken  

Hogansville   

Holly  Springs  

Homerville    

Hoschton    

Ideal    

Irwinton    

Ivey  

Jackson    

Jasper  

Jefferson   

Jeffersonville    

Jesup  

Jonesboro  

Kennesaw  

Kingsland  

Kingston  

Lafayette  

La  Grange  

Lake  City  

Lakeland  

Lake  Lanier  Islands 

Lavonia  

Lawrenceville  


35 

10 

6 

17 

119 

II 

4 

25 

4 

12 

2 

I 

2 

21 

3 

25 

32 

1 

5 

106 

23 

6 

23 

33 

101 

20 

1 

1 

13 

3 

8 

5 

3 

9 

72 

10 

1 

7 

2 

8 

35 

10 

19 

13 

13 

II 


27 

7 

6 

13 

99 

10 

4 

20 

4 

8 

2 

1 

2 

16 

3 

17 

24 

1 

5 

40 

18 

4 

16 

27 

81 

18 

1 

1 

8 

3 

6 

5 

3 

9 

S8 

8 

I 

4 

2 

8 

29 

6 

IS 

12 

9 

7 

1 

2 

1 

43 

4 

I 

7 

4 

6 


2 
3 

16 
7 
9 
3 

24 
8 

25 

IS 
I 

17 

82 
8 
6 
7 
8 

36 


307 


Table  78. — Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1991 — Continued 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


GEORGIA— Continued 


Leary    

Leesburg   

Leslie   

Lilbum    

Lincolnton  

Lithonia    

Locust  Grove  

Loganville    

Lookout  Mountain 

Louisville   

Ludowici  

Lumber  City    

Lumpkin  

Luthersville  

Lyerly  

Lyons   

Macon    

Madison    

Manchester    

Mansfield   

Marietta    

Marshallvitle  

Maysville    

McCaysville    

McDonough    

Mclntyre  

McRae   

Meigs   

Metier   

Midway  

Milan   

Milledgeville  

Millen    

Monroe   

Montezuma  

Monticello   

Morrow   

Morven   

Moultrie   

Mountain  City    

Mount  Vernon    

Nahunta    

Nashville    

Nelson 

Newington   

Newnan  

Newton   

Nicholls  

Norcross   

Oakwood    

Ocilla   

Oglethorpe  

Omega   

Oxford   

Palmetto   

Patterson    

Payne  City    

Peachtree  City  

Pearson    

Pelham    

Pembroke  

Perry  

Pine  Lake    

Pinehurst    

Plains   

Pooler  

Porterdale    

Port  Wentworth   .. 

Poulan    

Powder  Springs  ... 

Preston    

Quitman   

Reidsville   

Remerton   

Reynolds  


3 
3 
4 
22 
4 
II 
7 

16 

10 

9 

8 

5 

6 

4 

I 

15 

329 

13 

|g 

2 

138 

5 

! 

4 

9 

2 

10 

5 

10 

5 

I 

63 

8 

34 

21 

14 

30 

2 

46 
2 
2 
3 

17 
1 
I 
38 
2 
4 
25 
8 

15 

5 

3 

1 

9 

2 

1 

37 

10 

14 

7 

33 

4 

I 

3 

13 

13 

14 

1 

20 

4 

19 

10 

3 

3 


2 
3 
4 

16 
4 
8 
6 

14 
7 
9 
4 
4 
5 
4 
1 

II 
273 

12 

17 
I 
114 
5 
1 
4 
8 
2 
7 
5 

10 
4 
I 

35 
8 

25 

14 
9 

24 
2 

38 
2 
2 
3 

12 
1 
I 

37 
2 
3 

18 
7 

10 
5 
3 
I 

9 
2 
1 

27 
5 
9 
5 

23 
3 
1 
3 

12 
6 

13 
1 

16 
2 

15 
5 
3 
3 


GEORGIA— Continued 


Richland  

Richmond  Hill    

Ringgold   

Rincon  

Riverdale   

Roberta  

Rockmart   

Rome    

Rossville  

Roswell    

Royston  

Rutledge   

St.  Marys  

Sandersville  

Sardis  

Savannah   

Screven    /. 

Senoia    

Shellman  

Smyrna    

Snellville  

Soperton   

Sparta  

Springfield   

Statesboro    

Statham  

Stone  Mountain   

Stone  Mountain  Park   

Summerville    

Swainsboro    

Sycamore   

Sylvania    

Sylvester   

Tallapoosa   

Tallulah  Falls  

Temple    

Tennille  

Thomaston 

Thomasville    

Thomson    

Thunderbolt    

Tifton  

Tignall   

Toccoa  

Trenton   

Trion    

Tunnel  Hill  

Twin  City    

Tybee  Island    

Tyrone   

Unadilla    

Union  City   

Union  Point  

Uvalda  

Valdosia   

Vidalia  

Vienna  

Villa  Rica    

Wadley    

Warm  Springs   

Warner  Robins   

Warwick    

Washington   

Watkinsville   

Waverly  Hall   

Waycross    

Waynesboro    

West  Point    

Whigham    

Whitesburg    

Willacoochee    

Winder    

Winterville  

Woodbine  

Woodbury  


4 

14 

4 

9 

36 

2 

19 

81 

16 

120 

13 

I 

33 

20 

4 

399 

7 

4 

4 

103 

29 

10 

12 

5 

48 

3 

18 
19 
19 
21 
2 

14 

18 

14 

1 

6 

7 

46 

51 

13 

9 

50 

2 

30 

6 

7 

4 

3 

22 


32 

7 

2 

98 

32 

6 

23 

6 

1 

108 

1 

15 

4 

4 

71 

21 

19 

4 

4 

2 

34 

2 

5 
10 


30 

2 

15 

70 

15 

87 

10 

I 

26 

15 

4 

318 

I 

4 

4 

82 

23 

7 

8 

5 

39 

3 

12 

15 

19 

15 

2 

10 

14 

II 

I 

4 

4 

37 

42 

II 

5 

41 

2 

26 

6 

7 

4 

3 

16 

7 

4 

23 

5 


82 

16 

28 

4 

ft 

18 

5 

3 

84 

24 

14 

1 

51 

20 

16 

5 

15 

4 

31 

3 

308 


lable  78. — Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1991 — Continued 


City 


Tola: 

police 

employees 


Total 
ofTicers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


GEORGIA— Continued 

Woodstock  

Wrens  

Wrightsville  

Zebulon  

HAWAII 

Hilo  

Honolulu    

IDAHO 

Aberdeen 

American  Falls   

Blackfoot    

Boise  

Bonners  Ferry  

Buhl    

Caldwell    

Cascade  

Chubbuck  

Coeur  d'Alene  

Emmett   

Filer    

Finh   

Fruitland    

Garden  City  

Glenns  Ferry   

Gooding   

Grangeville   

Hailey    

Heyburn    

Homedale  

Idaho  Falls   

Jerome  

Kamiah   

Kellogg    

Ketchum  

Lewiston  

McCall  

Meridian  

Montpelier  

Moscow  

Mountam  Home    

Nampa  

New  Plymouth    

Orofino   

Osbum  

Payette  

Pinehursi    

Pocalello  

Post  Falls  

Preston    

Priest  River    

Rexburg  

Rigby   

Rupert   

St.  Anthony    

Salmon    

Sandpoint  

Shelley   

Soda  Springs    

Sun  Valley  

Twin  Falls  

Wallace   

Weiser   

Wilder   

ILLINOIS 

Abingdon   

Addison  

Albany  

Albion    

Aledo   


ILLINOIS— Continued 


2.14 
2.312 


145 
1.887 


4 
8 

17 

165 

7 

7 

31 
2 

12 
44 
9 
4 
I 
5 

17 
4 
7 
5 
8 
4 
5 


89 
425 


72 

26 

11 

3 

6 

1 

1  1 

3 

41 

15 

6 

14 

1 

5 

26 

6 

16 

7 

37 

15 

4 

6 

1 

2 

9 

1 

-> 

68 

22 

17 

8 

4 

5 

1 

24 

4 

5 

12 

2 

6 

5 

1 

11 

8 

6 

6 

1 

8 

45 

14 

3 

9 

4 

7 

Algonquin    

Alorton    

Alsip  

Alton    

Amboy  

Andalusia  

Anna  

Anlioch    

Areola    

Arlington  Heights 
Arthur    


Ashland  

Astoria  

Auburn    

Aurora   

Avon   

Bannockbum    ... 

Barrington    

Barrington  Hills 

Banlett    

Bartonville  

Batavia    

Beardslown    

Bedford  Park  ... 

Beecher   

Belleville  

Bellwood  

Belvidere    

Benld    

Bensenville    

Benton   

Berkeley    

Berwyn    

Bethalto  

Bloomingdale   . . . 

Bloomington  

Blue  Island    

Blue  Mound  

Bolingbrook    

Bourbonnais   

Bradley    

Braidwood   

Breese  

Bridgeport    

Bridgeview  

Brighton    

Broadview    

Brookfield    

Brooklyn  

Buffalo  Grove   . . 

Bull  Valley    

Bunker  Hill  

Burbank    

Bumham  

Burr  Ridge    

Byron    

Cahokia  

Cairo    

Calumet  City  , . . 
Calumet  Park  . . 
Camp  Point    — 

Canton  

Carbon  Cliff 

Carbondale   

CarlinviUe    

Carlyle   

Carmi  

Carol  Stream  . . . 
Carpentersville    . 

Carrollton  

Carterville    

Carthage  

Cary  

Casey  

Caseyville  


4 

49 

72 

3 

2 

9 

22 

4 

137 

5 

1 

1 

7 

234 

1 

7 

43 

25 

40 

II 

38 

12 

32 

5 

76 

54 

26 

5 

44 

12 

18 

97 

17 

54 

90 

49 

1 

90 

22 

20 

9 

8 

2 

43 

5 

36 

34 

3 

67 

1 

3 

55 

12 

24 

10 

39 

17 

89 

23 

1 

27 

2 

66 

13 

7 

10 

57 

46 

5 

4 

3 

23 

7 

10 


22 

3 
38 
60 

2 

2  , 
9  , 

15 

4  , 
104 

5  , 
1  . 
1  . 
4 

195 

1  , 

7  , 
30 
18 
30 

7 
32 

9 
26 

5  , 
66 
42 
24 

3 
34 

7 
15 
71 
11 
38 
78 
31 

1  . 
63 
16 
16 

6 

5 

2 
37 

3 
31 
28 

3  , 
57 

1  , 

2 
44 

9 
21 

6 
27 
12 
63 
17 

1  . 
20 

2  , 
53 

9 

6 

9 
40 
41 

5  . 

4  . 

3  . 
18 

7  . 
6 


309 


Table  78.— Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1991— Continued 


Cilv 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


Cilv 


Total 

police 

employees 


Total 
officers 


ILLINOIS— Cootinusd 


ILLINOIS— Continued 


Central  City   

Centralia  

Centreville  

Champaign    

Channahon    

Charleston   

Chatham  

Chenoa    

Cherry  Valley    

Chester    

Chicago  

Chicago  Heights  

Chicago  Ridge  

Chillicothe  

Christopher  

Cicero    

Clarendon  Hills    

Clinton    

Coal  City  

Coal  Valley  

Cobden    

Collinsville    

Colona  

Columbia   

Coultervilie    

Country  Club  Hills 

Countryside  

Crest  Hill  

Crestwood    

Crete  

Creve  Coeur  

Crystal  Lake  

Cuba  

Danvers  

Danville    

Darien   

Decatur  

Deer  Creek   

Deerfield  

De  Kalb   

Depue    

De  Soto    

Des  Plaines  

Dixmoor  

Dixon  

Dolton   

Downers  Grove    

Dupo    

Du  Quoin    

Durand    

Dwighl  

Earhille  

East  Alton   

East  Carondelet    ... 

East  Dubuque   

East  Dundee    

East  Hazel  Crest   . . 

East  Moline   

East  Peoria   

East  St.  Louis   

Edwardsville  

Effingham    

Elbum   

Eldorado  

Elgin   

Elk  Grove  Village  . 

Elmhurst   

Elmwood  Park    

El  Paso    

Energy    

Erie 

Eureka    

Evanslon  

Evergreen  Park  

Fairbury    


2 

36 

16 

127 

11 

37 

7 

2 

9 

9 

15,258 

104 

25 

13 

4 

120 

17 

17 

6 

6 

2 

44 

6 

9 

1 

29 

25 

24 

10 

14 

7 

57 

I 

I 

75 

43 

144 

1 

46 

59 

I 

4 

118 

14 

25 

48 

93 

6 

13 

1 

11 

2 

18 

1 

6 
12 
8 
40 
44 
88 
31 
31 
5 

10 

152 

110 

85 

36 

4 

3 

2 

3 

207 

62 

5 


2 

28 

12 

100 

7 

29 

6 

2 

9 

7 

12,132 

77 

25 

9 

4 

96 

12 

13 

5 

6 

2 

34 

6 

8 

1 

22 

20 

18 

9 

10 

6 

40 

1 

1 

62 

27 

140 

1 

35 

48 

1 

3 

98 

9 

22 

37 

68 

5 

9 

1 

7 

2 

12 

1 

6 

11 

8 

31 

32 

69 

22 

24 

4 

6 

114 

95 

64 

31 

4 

3 

2 

3 

152 

50 

5 


2 
3,126 

27 


10 


Fairfield    

Fairmont  City  

Fairview 

Fairview  Heights   

Farmer  City   

Farmington   

Fisher 

Flora  

Flossmoor    

Ford  Heights    

Forest  Park  

Forest  View    

Fox  Lake   

Fox  River  Grove  

Fox  River  Valley  Gardens 

Frankfort    

Franklin  Park    

Freeburg   

Freeport    

Fulton    

Galena  

Galesburg  

Galva    

Gardner  

Geneseo    

Geneva    

Genoa    

Gibson  City   

Gifford    


Gilberts  

Gillespie   

Gilman    

Girard    

Glen  Carbon    

Glencoe  

Glendale  Heights  . 

Glen  EUyn  

Glenview    

Glenwood  

Golf 

Grafton    

Granite  City  

Grayslake   

GrayviUe  

Green  Rock    

Greenup    

Greenville    

Gumee  

Hamilton    

Hampton    

Hampshire  

Hanover    

Hanover  Park    

Harrisburg   

Hartford    

Harvard  

Harvey  

Harwood  Heights 

Havana    

Hawthorn  Woods 

Hazel  Crest  

Hebron    

Henry  

Herrin    

Hickory  Hills  

Highland  

Highland  Park  .... 

Highwood  

Hillsboro  

Hillside    

Hinckley   

Hinsdale    

Hodgkins    

Hoffman  Estates    . 
Hometown  


14 

8 

1 

45 

6 

2 

2 

15 

22 

11 

50 

11 

24 

8 

1 

21 

62 

5 

64 

6 

II 

66 

3 

1 

16 

32 

7 

10 

1 

1 

8 

3 

3 

15 

41 

66 

42 

81 

22 

2 
56 
14 
6 
3 
3 

12 

46 

4 

1 

4 

1 

59 

17 

6 

16 

79 

29 

8 

5 

31 

3 

3 

14 

30 

20 

74 

14 

7 

38 

2 

37 

16 

107 

6 


310 


Table  78. — Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1991 — Continued 


City 


Total 

police 

employees 


Total 
officers 


Total 

civilians 


City 


Total 

police 

employees 


Total 
officers 


ILLINOIS— ConHnued 


ILLINOIS— Continued 


Homewood    

Hoopeston   

Huntley  

Hutsonville   

Indian  Head  Park 

Island  Lake  

Itasca    

Jacksonville  

Jerome  

Jerseyville    

Johnston  City   

Joliet  

Jonesboro  

Justice    

Kankakee  

Kenilworth    

Kewanee  

Kildeer  

Kincaid   

Kirkland   

Knoxville   

Lacon   

La  Grange  

La  Grange  Park  .. 

Lake  Bluff  

Lake  Forest  

Lake-in-the-Hills  .. 

Lakemoor  

Lake  Villa   

Lakewood  

Lake  Zurich    

Lanark   

Lansing   

La  Salle  

Lebanon    

Leiand  Grove    

Lemont    

Leroy    

Lewistown   

Libertyville    

Lincoln    

Lincolnshire   

Lincolnwood  

Lindenhurst  

Lisle    

Litchfield    

Lockport  

Lombard  

Loves  Park   

Lynwood  

Lyons  

Mackinaw    

Macomb    

Madison    

Mahomet    

Manhattan  

Manito  

Manteno   

Marengo   

Marion  

Marissa   

Markham    

Maroa    

Marquette  Heights 

Marseilles  

Marshall    

Martinsville  

Maryville    

Mascoutah  

Mason  City  

Matteson  

Mattoon    

Maywood   

McCook    

McCullom  Lake   ... 


48 

14 

8 

1 

14 

16 

39 

41 

4 

17 

5 

231 

3 

26 

75 

14 

20 

6 

1 

2 

2 

4 

38 

28 

12 

52 

17 

4 


37 

I 

64 

22 

10 

4 

21 

3 

3 

46 

27 

22 

43 

12 

49 

16 

27 

82 

33 

10 

26 

1 

29 

15 

4 

5 

3 

7 

15 

23 

4 

37 

2 

3 

7 

12 

3 

9 

6 

4 

44 

50 

75 

19 

1 


37 

9 

8 

1 

10 

II 

28 

35 

4 

II 

5 

189 

3 

22 

56 

11 

16 

6 

1 

2 

2 

3 

28 

23 

10 

38 

II 

4 

7 

7 

25 

1 

48 

17 

6 

4 

19 

3 

3 

36 

24 

17 

32 

II 

35 

13 

19 

66 

24 

10 

22 

I 

24 

11 

4 

5 

3 

7 

II 

17 

4 

29 

2 

3 

6 
II 
3 

5 

6 

4 

33 

41 

60 

13 

1 


McHenry    

McLeansboro   

Melrose  Park   

Mendota  

Meredosia    

Melamora    

Metropolis  

Midlothian  

Milan    

Milledgeville  

Millstadt   

Minonk    

Minooka  

Mokena  

Moline  

Momence   

Monee    

Monmouth  

Montgomery  

Momicello  

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    

Naperville    

Nashville    

National  City  

Neoga  

New  Athens   

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    ... 

Oblong  

O'Fallon    

Ogden  

Oglesby   

Okawville  

Old  Shawneetown 

Olney   

Olympia  Fields  ... 

Oregon  

Orion    

Orland  Hills  

Orland  Park  

Ottawa  

Oswego    

Palatine  


41 

29 

9 

5 

69 

60 

15 

12 

3 

3 

14 

12 

33 

23 

15 

11 

4 

4 

5 

5 

14 

13 

90 

68 

5 

5 

4 

4 

24 

19 

17 

II 

II 

9 

23 

19 

5 

5 

20 

15 

59 

44 

19 

13 

2 

2 

8 

5 

4 

3 

90 

70 

4 

3 

7 

4 

35 

29 

8 

7 

40 

31 

19 

14 

85 

112 

4 

4 

2 

2 

2 

2 

3 

3 

4 

4 

16 

15 

7 

6 

62 

50 

6 

3 

60 

51 

39 

31 

14 

13 

83 

60 

64 

44 

27 

21 

39 

33 

38 

29 

51 

39 

25 

20 

47 

35 

34 

104 

61 

120 

2 

2 

33 

25 

10 

1 

7 

1 

1 
15 

1 
10 

16 

15 

5 

5 

3 

3 

9 

8 

82 

56 

31 

26 

14 

12 

93 

69 

311 


Table  78.— Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1991— Continued 


City 


ILLINOIS— Continued 


Palestine   

Palmyra  

Palos  Heights  

Palos  Hills  

Palos  Park  

Pana   

Paris  

Park  City  

Park  Forest  

Park  Ridge    

Pawnee    

Paxton  

Pecatonica   

Pekin    

Peoria  

Peoria  Heights    

Peotone  

Peru    

Petersburg   

Phoenix  

Pinckneyville   

Pittsfield  

Plainfield   

Piano    

Polo  

Pontiac    

Pontoon  Beach   

Port  Byron    

Posen    

Princeton    

Prophetstown   

Prospect  Heights    

Quincy  

Ramsey    

Rantoul   

Red  Bud  

Richmond    

Richton  Park  

Ridgway   

Riverdale   

River  Forest  

River  Grove  

Riverside    

Robbins  

Robinson    

Rochelle   

Rochester  

Rockdale  

Rock  Falls  

Rockford    

Rock  Island    

Rockton    

Roiling  Meadows  

Romeoville    

Roodhouse  

Roscoe  

Roselle  

Rosemont  

Round  Lake  

Round  Lake  Beach    . 

Round  Lake  Heights 

Round  Lake  Park   . . . 

Roxana    

Royalton  

Rushville    

St.  Anne   

St,  Charles  

Salem    

Sandwich    

Saugel    

Sauk  Village  

Savanna    

Schaumburg    

Schiller  Park    

Seneca 


Total 

police 

employees 


2 

1 

28 

29 

11 

12 

21 

11 

46 

65 

4 

6 

2 

53 

278 

14 

II 

23 

5 

6 

6 

6 

18 

14 

3 

22 

14 

3 

10 

10 

3 

22 

81 

1 

28 

4 

4 

21 

1 

37 

39 

24 

22 

9 

II 

24 

6 

3 

23 

289 

109 

6 

74 

48 

4 

7 

43 

70 

8 

31 

3 

6 

6 

2 

5 

3 

56 

18 

16 

7 

24 

9 

187 

36 

3 


Total 
officers 


Total 
civilians 


1 

25 

3 

25 

4 

9 

2 

8 

4 

17 

4 

7 

4 

37 

9 

50 

15 

4 

6 

■> 

48 

5 

204 

74 

11 

3 

6 

5 

18 

5 

5 

4 

2 

5 

1 

6 

13 

5 

10 

4 

3 

16 

6 

10 

4 

3 

9 

1 

in 

3 

20 

2 

70 

11 

22 

6 

4 

4 

17 
1 

4 

28 

9 

29 

10 

18 

6 

19 

3 

5 

4 

10 

1 

18 

6 

6 

3 

16 

7 

249 

40 

77 

32 

5 

1 

53 

21 

37 

11 

4 

6 

1 

30 

13 

66 

4 

7 

1 

25 

6 

3 

6 

5 

1 

7 

5 

3 

46 

10 

13 

5 

10 

6 

7 

17 

7 

9 

133 

54 

28 

8 

3 

City 


ILLINOIS— Continued 


Sesser   

Shawneetown   

Shelbyville   

Sherman    

Shiloh  

Shorewood  

Silvis  

Skokie    

Sleepy  Hollow   

Smithton  

Somonauk    

South  Barrington   

South  Beloit   

South  Chicago  Heights 

South  Elgin  

South  Holland  

South  Jacksonville    

South  Roxana   

Sparta  

Springfield   

Spring  Grove  

Spring  Valley  

Stanford    

Staunton   

Steger   

Sterling    

Stickney    

Stockton    

Stone  Park    

Streamwood    

Streator   

Sugar  Grove  

Sullivan   

Summit    

Sumner    

Swansea  

Sycamore    

Tampico   

Taylorville   

Thomasboro   

Thornton    

Tinley  Park  

Tolono  

Tremont    

Trenton   

Troy    

Tuscola    

University  Park    

Urbana    

Vandalia  

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  


Total 

police 

employees 


Total 
officers 


5 

5 

4 

4 

7 

6 

2 

2 

4 

4 

14 

13 

19 

12 

136 

106 

6 

5 

3 

3 

3 

3 

9 

8 

11 

7 

14 

9 

17 

13 

43 

32 

6 

5 

4 

3 

15 

11 

242 

196 

6 

5 

10 

6 

8 

5 

15 

12 

38 

26 

18 

13 

3 

3 

15 

12 

64 

44 

28 

22 

6 

5 

9 

9 

31 

25 

14 

11 

22 

18 

21 

15 

2 

2 

7 

6 

58 

48 

2 

2 

3 

2 

3 

3 

14 

10 

6 

5 

20 

14 

54 

43 

17 

11 

9 

7 

42 

29 

2 

2 

5 

5 

50 

35 

9 

5 

2 

2 

3 

3 

22 

17 

15 

12 

12 

8 

8 

7 

14 

.  9 

20 

14 

163 

123 

6 

5 

44 

35 

29 

24 

7 

3 

16 

14 

28 

21 

20 

14 

49 

35 

77 

57 

312 


Table  78. — Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1991 — Continued 


Cilv 


Total 

police 

employees 


Total 
ofTicers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
ofTicers 


ILLINOIS— Continued 


INDIANA— Continued 


Wheeling 

White  Hall    

Willowbrook   

Willow  Springs   .. 

Wilmette  

Wilmington   

Winfield    

Winnebago    

Winnetka    

Winlhrop  Harbor 

Wood  Dale   

Woodhull    

Woodndge  

Wood  River  

Woodstock  

Worth  

Yorkville  

Zeigler   

Zion    


Alexandria   

Anderson    

Angola    

Auburn    

Balesville    

Bedford   

Beech  Grove    . 

Berne    

Bloomington  .. 

Bluffton  

Boonville    

Brazil    

Bremen    

Bums  Harbor 

Carmel  

Cedar  Lake  . . . 
Charlestown  .. 
Chesterfield  . . . 

Chesterton    

Clarksville    

Columbus  

Connersville    .. 

Corydon    

Crawfordsville 
Crown  Point    . 

Decatur   

Dunkirk    

Dyer    

East  Chicago    . 

Edinburgh    

Elkhart  

Elwood    

Evansville  

Fairmount    

Fort  Wayne    . . 

Fowler    

Frankfort    

Garrett  

Gary   

Gas  City  

Georgetown  . . . 

Goshen    

Greenfield    

Greenwood    . . . 

Griffith    

Hammond    

Hartford  City 

Highland  

Hoban   

Huntington  ... 
Indianapolis    . . 

Jasper  

Jeffersonville    . 


INDIANA 


14 

166 
16 
22 
11 
37 
34 
5 
81 
20 
11 
14 
13 
9 
73 
17 
12 
6 
21 
39 
70 
36 
6 
39 
29 
18 
8 
22 

133 
15 

127 
20 

263 
8 

381 

4 

38 

15 

317 
13 
2 
46 
29 
58 
37 

224 
15 
42 
41 
35 
1,368 
20 
501 


10 

131 

12 

17 

7 
31 
26 

5 
59 
17 
11 
10 

9 

5 
50 
12 

8 

5 
15 
32 
62 
31 

6 
28 
23 
15 

5 

16 
100 
10 
98 
16 
244 

4 
329 

4 

27 

10 

205 

9 

2 
41 
24 
42 
27 
182 
II 
37 
31 
28 
988 
14 
44 


18 


11 

5 

112 

4 


5 
5 

16 

10 

42 

4 

5 

10 
7 
380 
6 
6 


Kendallville  

Kokomo   

Kouts   

Lafayette  

La  Porte  

Lawrence    

Lebanon    

Ligonier  

Logansport  

Long  Beach  

Lowell    

Marion  

Martinsville  

MerrillviUe  

Michigan  City   

Mishawaka    

Monticello   

Mooresville   

Munster  

Nappanee  

New  Albany  

New  Castle   

New  Haven    

Noblesville  

North  Manchester 

North  Vernon    

Petersburg   

Plainfield    

Portage    

Portland    

Rensselaer    

Richmond    

Rushville    

Schererville    

Scottsburg    

Sellersburg   

South  Bend  

Speedway   

Tell  City  

Terre  Haute    

Trail  Creek   

Valparaiso    

Vincennes    

Wabash   

Warsaw    

West  Lafayette    

West  Terre  Haute 

Winchester  

Winona  Lake  


IOWA 


Adel    

Albia  

Algona   

Altoona   

Ames    

Anamosa  

Ankeny    

Atlantic   

Audubon  

Belle  Plaine    . 

Belmond   

Bettendorf  ... 
Bloomfield  . . . 

Boone  

Burlington  ... 
Camanche    . . . 

Carlisle    

Carroll    

Carter  Lake  . 
Cedar  Falls  . . 
Cedar  Rapids 

Centerville  

Chariton   


19 
136 

2 

104 

44 

38 

24 

7 
39 

5 

14 
70 
21 
53 
105 
89 
15 
1 

38 
15 
71 
40 
1 

39 
13 
17 

7 

33 

48 

18 

15 

100 

17 

37 

12 

14 

295 

34 

15 

137 

4 
50 
32 
29 
40 
45 

3 
15 

5 


5 

10 
14 
II 
66 

6 
32 
15 

4 

4 

4 
45 

7 
15 
52 

7 

5 
19 

7 

53 

209 

16 

9 


14 
102 

2 

81 
39 
36 
20 

7 
34 

5 

10 
66 
16 
44 
86 
78 

9 
13 
29 
11 
57 


13 

5 

31 

8 

10 

3 

13 

4 

4 

3 

27 

6 

38 

10 

14 

4 

8 

7 

77 

23 

12 

5 

30 

7 

8 

4 

10 

4 

230 

65 

26 

8 

10 

5 

119 

18 

4 

37 

13 

27 

5 

25 

4 

31 

9 

36 

9 

3 

11 

4 

5 

5 

7 

3 

9 

5 

10 

1 

50 

16 

5 

1 

24 

8 

13 

2 

4 

4 

4 

34 

11 

7 

14 

I 

37 

15 

7 

5 

13 

6 

6 

I 

46 

7 

167 

42 

II 

5 

8 

1 

Table  78. — Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1991 — Continued 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
ofTicers 


IOWA— Continued 


Charles  City  ... 

Cherokee    

Clarinda    

Clarion    

Clear  Lake  

Clinton    

Clive   

Coralville    

Council  Bluffs  . 

Cresco    

Creston    

Davenport    

Decorah    

Denison  

Des  Moines    . . . 

De  Witt    

Dubuque  

Dyersville  

Eagle  Grove   . . . 

Eldora    

Eldridge  

Emmetsburg    . . . 

Estherville   

Evansdale  

Fairfield    

Forest  City    

Fort  Dodge  

Fort  Madison    . 

Gamer   

Glenwood  

Grinnell  

Grundy  Center 

Hampton    

Harlan    

Hawarden  

Hiawatha    

Humboldt  

Independence  ... 

Indianola    

Iowa  City  

Iowa  Falls   

Jefferson   

Johnston   

Keokuk    

Knoxville    

Lamoni    

Le  Claire    

Le  Mars   

Manchester    

Maquoketa  

Marion  

Marshalltown   . . . 

Mason  City  

Missouri  Valley 

Monticello   .. 

Mount  Pleasant 
Mount  Vernon    , 

Muscatine    

Nevada    

New  Hampton    . 

Newton    

Norwalk    

Oelwein  

Onawa    

Orange  City    

Osage    

Osceola    

Oskaloosa  

Ottumwa  

Polla   

Perry  

Pleasant  Hill    .. 

Red  Oak  

Rock  Rapids    .. 
Rock  Valley    ... 


IOWA— Continued 


17 
12 
14 
6 

17 
48 
16 
24 
108 
8 

16 

176 

17 

16 

466 

7 

83 

8 

7 

6 

5 

8 

II 

6 

19 

8 

46 

18 

6 

9 

15 

4 

12 

9 

3 

5 

7 

15 

16 

72 

14 

10 

8 

34 

15 

3 

8 

12 

12 

14 

36 

57 

55 

4 

8 

14 

4 

43 

8 

6 

31 

8 

13 

5 

5 

6 

8 

20 

41 

14 

15 

8 

13 

3 

3 


13 
10 

9 

6 
12 
41 
12 
22 
91 

8 

12 

141 

13 

12 

344 

7 


17 


4 

35 

4 

4 

122 


76 

7 

3 

1 

1 1 

1 

13 

6 

43 

3 

13 

5 

6 

Sac  City    

Sergeant  Bluff  

Sheldon   

Shenandoah    

Sioux  Center    

Sioux  City  

Spencer    

Spirit  Lake    

Storm  Lake  

Story  City    

Tama    

Tipton    

Urbandale   

Vmton    

Washington  

Waterloo  

Waukee   

Waukon  

Waverly  

Webster  City    

West  Des  Moines 

West  Union    

Windsor  Heights   . 
Winterset    


Abilene    

Andale   

Andover    

Arcadia   

Argonia    

Arkansas  City    .. 

Arma    

Atchison   

Attica   

Augusta   

Baldwin  City    ... 

Basehor   

Baxter  Springs  .. 
Belle  Plaine    .... 

Belleville  

Beloit    

Bonner  Springs  . 

Buhler    

Burden  

Burlingame    

Burlington    

Bushton  

Caldwell    

Caney   

Carbondale    

Cawker  City  

Cedar  Vale    

Chanute    

Chapman    

Cheney    

Cherokee    

Cherryvale   

Cimarron    

Clay  Center    

Clearwater   

Clyde    

Coffeyville   

Colby    

Columbus  

Colwich  

Concordia    

Conway  Springs 
Council  Grove    . 

Derby  

Dodge  City  

Douglass  

Downs   

Eastborough    


KANSAS 


5 
6 
11 
12 
6 
136 
26 
7 

16 

4 

4 

5 

39 

7 

9 

150 

7 

6 

14 

20 

54 

4 

12 


20 
2 

11 
1 
I 

30 
5 

32 
1 

25 
6 
2 
9 
4 
5 

12 

16 
2 

1 

2 
8 
I 
4 
9 
2 
I 
2 
23 
2 
3 
2 
5 
2 
7 
5 
1 
30 
16 
7 
2 

13 
4 
6 
29 
49 
2 
2 
6 


5 
5 
7 
9 
6 
112 

19 
6 

15 
4 
4 
5 

31 
7 
9 
126 
6 
6 

13 

14 

43 
4 

11 
7 


10 

10 

? 

6 
1 

5 

22 

8 

5 

22 

10 

21 

4 

5 

1 

7 

8 

1 

3 

1 

5 

8 

4 

14 

2 

■} 

1 

7 

6 

1 

2 

4 

5 

4 

7 

1 

-> 

19 

4 

7 

3 

7 

5 

-> 

6 

1 

5 

1 

23 

7 

16 

6 

1 

1 

9 

4 

4 

5 

1 

21 

8 

36 

13 

7 

-> 

6 

314 


Table  78.— Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1991 — Continued 


Cilv 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


KANSAS— Continued 


KANSAS— Continued 


Edgertor  

Edwardsville  

El  Dorado  

Elkhart 

Ellinwood  

Ellis  

Ellsworth    

Elwood    

Emporia    

Enterprise  

Erie  

Eudora  

Fairway  

Fort  Scott    

Frankfort    

-redonia  

-ronlenac  

jalena   

jarden  City  

jarden  Plain  

jardner  

jamelt    

jirard    

joddard   

joodland 

jrandview  Plaza 

jreat  Bend  

-lalstead    

^arper  

^ays   

4aysville  

-leringlon  

-lesston   

-liawatha   

Highland  

Hill  City  

Hillsboro  

-loisington  

Holcomb  

Holton   

Holyrood    

Hope  

Horton  

Hoxie  

Hugolon   

Humboldt  

Hutchinson    

ndependence  

nman    

ola    

unction  City  

Canopolis  

Cansas  City    

Cingman  

^msley    

Ciowa    

.acrosse    

,a  Cygne   

-ake  Quivira   

.ansmg   

.amed  

-awrence    

-eavenworth  

.eawood   

-ebo   

-enexa  

■e  Roy    

iberal   

-indsborg  

.ouisburg  

.yndon    

yons  

-laize  

Marion  

Marquette    


3 

12 
37 
3 
5 
4 
4 
3 
60 
1 

3 

3 

7 

22 

1 

8 

7 

9 

70 

2 

11 

13 

5 

3 

15 

3 

41 

5 

3 

35 

24 

5 

5 

6 

2 

5 

4 

10 

2 

5 
2 
1 

7 
2 
6 
5 

85 

28 
2 

20 

62 

1 

431 

10 
3 
2 
3 
1 
2 
9 

14 
122 

59 

48 
1 

89 
1 

33 
4 
3 
2 
7 
3 
3 


19 


9 

2 

9 

4 

5 

3 

13 

2 

3 

29 

12 

5 

3 

26 

9 

15 

9 

5 

5 

5 

1 

? 

5 

3 

1 

7 

3 

7 

5 

■> 

1 

4 

3 

■> 

5 

1 

5 

58 

27 

20 

8 

■) 

15 

5 

48 

1 

14 

316 

115 

6 

4 

3 

-> 

3 

: 

? 

8 

1 

14 

100 

22 

45 

14 

35 

1 

13 

54 

1 

35 

27 

6 

3 

1 

3 

■» 

6 

1 

2 

1 

3 

1 

Marysville    

McPherson    

Meade    

Medicine  Lodge   . 

Merriam    

Minneapolis    

Mission    

Moundndge    

Mound  Valley  

Mount  Hope    . .... 

Mulberry  

Mulvane    

Neodesha   

Ness  City  

Newton    

North  Newton  

Norton  

Oakley   

Oberlin    

Olathe    

Osage  City  

Osawatomie    

Osborne  

Oswego    

Ottawa   

Overland  Park  

Oxford   

Paola    

Park  City  

Parker    

Parsons   

Perry  

Pittsburg  

Pleasanton   

Prairie  Village  — 

Pratt    

Quinter   

Roseland  Park  

Rose  Hill    

RossviUe  

Sabetha    

St.  Francis  

St.  John    

St.  Marys  

Salina  

Scott  City    

Sedan    

Sedgwick  

Seneca   

Shawnee    

Silver  Lake    

Smith  Center  

South  Haven    

South  Hutchinson 

Spring  Hill    

Stafford  

Sterling    

Stockton    

Sublette  

Tonganoxie   

Topeka    

Towanda  

Valley  Center  

Valley  Falls  

Wa  Keeney  

Wakefield  

Wamego   

Waterville    

Wellington  

Wellsville   

Westwood    

Wichita    

Wilson   

Winfield    

Yates  Center    


7 

26 
3 
5 

28 
5 

18 
3 
1 
1 
2 

12 
7 
3 

24 
1 
6 

10 

4 

106 

4 

12 
3 
4 

26 

182 

2 

17 

10 
1 

35 
1 

43 
1 

49 

20 
1 

11 
4 
1 
5 
1 

4 
5 

65 

10 
5 
2 
5 

66 
1 

3 
1 

6 
5 
4 
5 
4 
2 

4 

361 

2 

10 

1 

5 

1 

11 

I 

17 

3 

8 

609 

1 

25 

4 


6 
24 

3 

5 
23 

5 
17 

3 

1  . 

1  , 

2 

6 
6 

3  . 
20 

1   . 

5 

10  . 

4  . 
79 

4  . 
8 

3  . 

4  . 
22 

144 

II 

9 

I   . 
24 

1  . 
31 

1  . 
39 
19 

1   . 

9 

4  . 
1  . 

5  . 

1  . 

4  . 

5  . 
54 

6 

5  . 

2  . 
5  . 

53 
1  . 

3  . 

1  . 
5 

5  . 

4  . 
4 

4  . 

2  . 

4  . 
255 

2 

6 
1  . 

5  . 
I  . 
6 

1  . 
13 

3  . 
7 

461 
1   . 
19 
3 


315 


Table  78.— Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1991— Continued 


City 


KENTUCKY 


Adairville   

Albany   

Alexandria  

Anchiorage   

Ashland  

Auburn    

Audubon  Park  .. 

Augusta   

Barbourville    

Bardslown    

Beatlyville   

Beaver  Dam  

Bellevue    

Benham  

Benton   

Berea    

Bloomfield  

Bowling  Green    . 

Brandenburg  

Brodhead    

Brooksville  

Brownsville   

Burgin    

Burkesville  

Bumside   

Cadiz    

Calhoun    

Calvert  City  .... 
Campbellsburg  .. 
Campbellsville  .. 

Caneyville    

Carlisle 

Carrollton  

Catletlsburg  

Cave  City    

Central  City   .... 

Clarkson   

Clay  City   

Clinton    

Cloverport   

Cold  Spring    

Columbia   

Corbin   

Covmgton    

Crab  Orchard  .. 
Crestview  Hills  . 

Crittenden   

Crofton    

Cumberland    

Cynthiana    

Danville    

Dawson  Springs 

Dayton  

Devondale   

Dixie  

Dry  Ridge   

Earlington    

Edgewood  

Edmonton    

Elizabethtown    . . 

Elkton    

Elsmere   

Eminence   

Erianger 

Evarts  

Falmouth    

Flatwoods  

Fleming-Neon  . 
Flemingsburg   . . 

Florence    

Fordsville  

Fort  Mitchell  .. 
Fort  Thomas  . . 
Fort  Wright  ... 
Frankfort    


Total 

police 

employees 


I 
6 
5 

13 

57 
1 
5 
2 

14 

17 
5 
4 

10 
1 
8 

24 
2 

90 
3 
2 
2 
1 
1 
6 
2 
5 
1 
5 
1 

12 
1 
6 

10 

10 
5 
7 
1 
2 
2 
2 
4 
7 

21 
113 
1 
7 
1 
1 
8 

20 

28 
9 
7 
2 
8 
2 
2 

10 
6 

40 
6 

10 
6 

32 
2 

10 

11 
2 
6 

44 

1 

12 

22 
8 

54 


Total 
ofTicers 


1 

4 
5 
9 

51 
1 
4 
2 

11 

14 
5 
4 
9 
1 
6 

17 
1 

69 
3 
1 
2 
1 
1 

4 
2 
5 
I 

4 
I 

11 
1 
6 

10 
6 
5 
7 
1 

2 
2 
2 
4 
7 

16 

96 
1 
7 
1 
I 
6 

16 

22 
5 
7 
2 
7 
2 
2 
9 
6 

29 
6 
9 
6 

26 
2 
6 
7 
2 
6 

41 
1 

II 

21 
7 

49 


Total 
civilians 


City 


KENTUCKY— Continued 


Franklin    

Fulton    

Gamaliel  

Georgetown  

Glasgow    

Grayson    

Greensburg    

Greenup   

Greenville    

Guthrie   

Hardinsburg   

Harlan   

Harrodsburg   

Hartford   

Hawesville  

Hazard  

Henderson  

Hickman  

Highland  Heights    

Hillview    

Hindman    

Hodgenville  

Hopkinsville   

Horse  Cave  

Huslonville    

Independence  

Indian  Hills    

Irvine    

Irvington  

Jackson   

Jamestown  

Jeffersontown  

Jenkins    

Junction  City  

La  Center    

La  Grange  

Lakeside  Park   

Lancaster    

Land-bet  ween-the- Lake 

Lawrenceburg  

Lebanon    

Lebanon  Junction    

Leitchfield    


Lewisburg  

Lewisport   

Lexington  

Liberty  

Livermore    

London    

Louisa    

Louisville    

Loyall  

Ludlow    

Lynch   

Madisonville  

Manchester   

Marion  

Martin   

Mayfield   

Maysville   

Middlesboro   

Millersburg    

Minor  Lane  Heights 

Monticello   

Morehead  

Morganfield    

Morgantown    

Mount  Sterling   

Mount  Vernon 

Mount  Washington  .. 

Muldraugh  

Munfordville    

Murray    

New  Castle   

New  Haven    


Total 

police 

employees 


Total 
officers 


22 

15 

12 

8 

2 

2 

39 

29 

30 

24 

7 

7 

9 

5 

2 

2 

7 

7 

4 

4 

3 

3 

15 

11 

23 

16 

4 

4 

27 

20 

55 

48 

10 

6 

5 

5 

4 

4 

2 

2 

5 

5 

50 

45 

4 

4 

10 

10 

3 

3 

8 

8 

2 

2 

9 

8 

4 

4 

45 

38 

5 

5 

4 

4 

8 

7 

8 

7 

12 

7 

22 

21 

17 

13 

19 

13 

15 

10 
1 

515 

1 
380 

7 

5 

15 

15 

10 

6 

849 

603 

7 

6 

3 

2 

49 

41 

8 

8 

6 

6 

4 

4 

30 

25 

25 

21 

26 

22 

2 

2 

12 

.   8 

21 

15 

15 

8 

5 

5 

20 

15 

7 

6 

6 
1 

6 
1 

1 

29 

1 

1 

1 

24 

1 

1 

316 


Table  78. — Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1991 — Continued 


Cily 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
otTicers 


KENTUCKY— Continued 

I  Newport    

Nicholasville  

Oak  Grove    

Olive  Hill 

Owensboro    

Owenton  

Owingsville    

Paducah    

Paintsville    

Paris   

"ark  City  

"ark  Hills 

"erry ville   

"ewee  Valley   

"ikevjile   

,  "ioneer  Village   

"ineville   

'restonburg  

'rinceton    

*rospect    

*rovidence  

(aceland  

tadclifr  

Uvenna   

Richmond    

tussell  

(ussell  Springs  

(ussellville    

.t.  Matthews   

iaiyersville  

■cottsville  

;ebree    

ihelbyville  

■hepherdsville   

.hively  

'Omerset  

'Outhgate    

pringfield  

tanford    

tanton    

turgis   

aylor  Mill  

"aylorsville   

"ompkinsville    

Jniontown    

'anceburg   

'ersailles    

'ilia  Hills   

'ine  Grove  

Walton  

v'arsaw  

i/ayland   

i/est  Buechel  

v'est  Liberty    

•"est  Point    

i'heelright  

"'hitesburg    

/ilder   

Williamsburg    

/illiamstown  

/ilmore    

/inchester  

'ingo    

/orthington   

LOUISIANA 

lexandria  

aldwin  

all    

aton  Rouge    

erwick  

agalusa   

Dssier  City   

reaux  Bridge   


52 

36 

8 

6 

130 

3 

5 

76 

10 

21 

2 

6 
1 
3 

19 
2 
7 

18 

14 
7 
8 
3 

39 
3 

47 

II 
3 

29 

32 
4 

17 
1 

14 
7 

27 

28 
5 
9 

11 
6 
5 
6 
2 

10 
2 
4 

24 
7 
6 
3 
3 
1 

12 

10 
5 
I 

7 
5 
9 
7 
5 

39 
I 


153 

3 

5 

742 

10 

44 

140 

16 


45 

28 

7 

5 

102 

3 


3 

~i 

70 

6 

10 

17 

4 

-> 

5 
1 

1 

3 

15 

4 

2 

6 

1 

14 

4 

13 

1 

7 

s 

3 

31 

8 

2 

1 

38 

9 

1  1 

3 

21 

8 

27 

5 

4 

13 

4 

13 

1 

7 

21 

6 

26 

2 

5 

5 

4 

7 

4 

6 

5 

6 

T 

7 

3 

-) 

4 

19 

5 

6 

1 

5 

1 

1 

2 
1 

1 

10 

2 

6 

4 

3 
1 

2 

5 

2 

5 

9 

3 

4 

5 

28 
1 

11 

7 

126 

4 

4 

617 

10 

34 

126 

11 


27 

I 

1 

125 


LOUISIANA— Continued 

Church  Point   

Crowley  

Dequincy    

Farmerville    

Franklmton  

Gonzales  

Gretna   

Harahan    

Haynesville    

Houma    

Jeanerette  

Jena 

Jennings    

Jonesboro  

Kaplan  

Kenner  

Kentwood    

Kmder   

Lafayette  

Lake  Charles    

Leesville    

Lockport   

Mamou   

Mandeville  

Mansfield  

Minden   

Monroe    

New  Iberia    

Patterson    

Pmeville    

Plaquemme   

Ponchatoula    

Ruston  

St.  Martinvilte  

Shreveport   

Simmesport  

Sulphur    

Vidalia  

Ville  Platte   

Vinton    

Vivian    

Welsh   

Westlake   

West  Monroe  

Westwego  

Winnfield  

Zachery   

MAINE 

Ashland  

Auburn    

Augusta   

Bailey  ville    

Bangor  

Bar  Harbor  

Bath    

Belfast    

Berwick   

Bethel  

Biddeford   

Boothbay  Harbor  

Brewer  

Bridgton   

Brunswick    

Bucksport   

Buxton  

Calais  

Camden  

Cape  Elizabeth    

Carrabassett    

Caribou   

Cumberland    

Damariscotta   

Dexter  


14 
31 
12 
10 
14 
27 
74 
25 

8 
67 
20 

5 
33 
13 
16 
148 
10 

6 

229 

128 

28 

4 
12 
30 
17 
27 
196 
78 
13 
43 
28 
14 
40 
21 
498 

3 
34 
16 
27 
12 
14 
10 
16 
58 
14 
15 
24 


14  , 
29 

12  . 
10  , 
14  . 
27  . 
66 
25  . 

8  . 
50 
15 

5  . 
26 

13  , 

16  . 
108 

10  . 

6  . 
170 
116 

27 
4  . 

12  . 
30  . 

17  . 
26 

141 
56 

13  . 
41 
27 

14  . 
33 
16 

419 
2 
27 
12 
27  . 
12  . 
14  . 
10  . 
16  . 
53 
14  . 
14 
22 


3 

45 

38 
5 

67 
8 

17 

10 
9 
3 

42 
9 

15 
7 

31 
7 
2 
8 
9 

11 
1 

15 
9 
2 
5 


317 


Table  78. — Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1991 — Continued 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officei^ 


MAINE — Continued 


MAINE— Continued 


Dixfield  

Dover-Foxcroft    

East  MiUinocket  

Eastpori  

Eliot    

Ellsworth    

Fairfield    

Falmouth   

Farminglon   

Fort  Fairfield  

Fort  Kent    

Freeport    

Fryeburg   

Gardiner  

Gorham  

Hallowell    

Hampden   

Houlton  

Jay   

Kennebunk    

Kennebunkport  

Kittery    

Lewiston  

Limestone    

Lincoln    

Libson    

Livermore  Falls    — 

Machias  

Madawaska   

Madison   

Mechanic  Falls   

Medway    

Mexico  

Milbridge   

MiUinocket    

Milo    

Monmouth  

Mount  Desert    

Newport    

North  Berwick    

Norway   

Oakland    

Ogunquit    

Old  Orchard  Beach 

Old  Town    

Orono  

Oxford   

Paris   

Phippsburg    

Pittsfield  

Portland    

Presque  Isle    

Richmond    

Rockland    


Rockport  

Rumford  

Sabattus    

Saco    

Scarborough    

Searsport    

Skowhegan  

South  Berwick  

South  Portland   ... 
Southwest  Harbor 

Standish    

Thomaston    

Topsham  

Van  Buren  

Veazie    

Waldoboro  

Washburn  

Waterville    

Wells  

Westbrook  

Wilton    


3 

4 

5 

5 

8 

14 

10 

17 

II 

5 

g 

16 

4 

10 

21 

5 

14 

18 

II 

21 

16 

24 

89 

3 

8 

19 

II 

3 

7 

5 

4 

2 

4 

1 

18 

3 

2 

9 

4 

8 

5 

7 

12 

21 

16 

18 

3 

7 

I 

9 

192 

25 

5 

24 

8 

18 

5 

31 

33 

3 

17 

12 

55 

9 

3 

4 

15 

3 

I 

5 

1 

37 

26 

37 

5 


3 
4 
5 
4 
7 

10 

9 

12 

10 

4 

4 

II 

4 

9 

15 

5 

9 

13 

7 

15 

II 

18 

74 

3 

7 

14 

6 

3 

6 

5 

4 

2 

4 

I 

14 

3 

2 

5 

4 

7 

5 

6 

7 

16 

12 

13 

3 

6 

I 

5 

150 

20 

5 

17 

4 

16 

4 

26 

23 

3 

12 

7 

51 

5 

3 

4 

11 

3 

1 

4 

1 

30 

21 

31 

5 


Windham 
Winslow  . 
Winthrop 
Wiscasset 
Yarmouth 
York   


MARYLAND 


Aberdeen    

Annapolis  

Baltimore   

Bel  Air    

Berlin  

BerwTn  Heights    . . . 

Bladensburg    

Brunswick    

Cambridge  

Capitol  Heights    ... 

Centreville   

Cheasapeake  City    . 

Chestertown    

Cheverly  

Cottage  City  

Crisfield    

Cumberland    

Delmar    

Denton    

District  Heights   . . . 

Easton    

Edmonston    

Elkton    

Fairmount  Heights 

Federalsburg  

Forest  Heights  

Frederick    

Frostburg   

Fruilland    

Glenarden    

Goldsboro    

Great  Oaks  

Greenbelt    

Greensboro   

Hagerstown   

Hampstead    

Hancock    

Havre  de  Grace  ... 

Hurlock  

Hyattsville  

Landover  Hills   

La  Plata    

Laurel  

Lonaconing   

Luke   

Manchester   

Momingside   

Mount  Rainier    

North  Beach  

North  East    

Oakland    

Ocean  City   

Ocean  Pines  

Oxford   

Pocomoke  City  

Port  Deposit    

Preston    

Princess  .Anne    

Ridgely    

Rising  Sun    

Riverdale   

Rock  Hall    

St.  Michaels   

Salisbury  

Smithsburg    

Snow  Hill    


48 

39 

151 

113 

3,455 

2.893 

42 

30 

11 

6 

5 

3 

22 

17 

11 

10 

51 

38 

8 

7 

5 

5 

8 

6 

11 

9 

4 

4 

12 

10 

54 

48 

8 

7 

9 

9 

8 

7 

47 

33 

6 

6 

29 

21 

7 

7 

4 

4 

102 

87 

17 

13 

9 

8 

10 

9 

10 

6 

57 

40 

3 

3 

121 

87 

3 

3 

3 

3 

30 

22 

7 

7 

29 

22 

2 

2 

4 

4 

59 

43 

2 

2 

2 

2 

3 

3 

6 

5 

15 

10 

9 

9 

7 

7 

5 

4 

105 

84 

17 

12 

3 

3 

17 

-13 

2 

2 

2 

2 

5 

5 

2 

2 

5 

3 

17 

12 

4 

4 

6 

6 

84 

65 

6 

6 

318 


Table  78. — Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1991 — Continued 


Cily 


MARYLAND— Continued 


Sparrows  Point  . 

Sykesville   

Takoma  Park  ... 

Taneytown  

Thurmon!  

University  Park 
Upper  Marlboro 

Westemport    

Westminster   


MASSACHUSETTS 


Acushnet  

Andover    

Arlington    

Ashbumham  

Ashby  

Ashfield  

Avon  

Ayer    

Barnstable   

Bedford   

Belchertown    

Bellingham    

Belmont    

Beverly    

Blackstone   

Bolton    

Boston    

Bourne  

Boxboro    

Boylston    

Brainlree  

Brockton  

Brookline   

Cambridge  

Carlisle    

Carver   

Charlton    

Chatham  

Chelmsford   

Chicopee  

Clinton    

Cohasset   

Concord    

Dalton    

Danvers  

Dartmouth  

Deerfield  

Dennis  

Dighton  

Douglas  

Dover  

Dracut    

Dudley  

Duxbury    

East  Bndgewater    . 

Eastham    

East  Longmeadow 

Easton    

Fall  River    

Fitchburg    

Foxboro    

Framingham   

Franklin    

Freetown    

Gloucester  

Granby    

Great  Barrington   . 

Hadley   

Hamilton    

Hampden  

Hardwick   

Harvard  

Harwich    


I 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


16 

14 

62 

48 

80 

69 

4 

4 

2 

2 

2 

2 

17 

14 

20 

15 

95 

86 

27 

26 

15 

II 

25 

22 

57 

50 

81 

79 

16 

13 

8 

4 

2.616 

1,989 

33 

30 

7 

6 

7 

7 

83 

75 

127 

108 

157 

142 

289 

257 

9 

9 

19 

13 

16 

12 

24 

23 

56 

48 

107 

103 

24 

22 

17 

17 

38 

32 

13 

12 

57 

44 

55 

47 

6 

5 

41 

32 

10 

10 

10 

7 

16 

15 

36 

34 

17 

13 

29 

27 

21 

20 

21 

15 

26 

24 

32 

31 

287 

228 

79 

72 

26 

25 

114 

103 

35 

29 

18 

14 

64 

58 

11 

10 

13 

13 

7 

7 

15 

14 

13 

9 

6 

2 

II 

7 

31 

29 

3 
5 
9 
1 

4 
3 
7 
2 
3 
4 
627 
3 
I 


Citv 


MASSACHUSETTS— Continued 


Haverhill    

Hingham  

Holden  

Hollitson  

Hopedale    

Hudson    

Hull  

Ipswich    

Lanesboro    

Lawrence    

Lee  

Leicester  

Leominster    

Lexington   

Lincoln    

Ludlow    

Lynn   

Lynnfield    

Maiden    

Manchester    

Marblehead  

Marion  

Marshfield   

Mashpee   

Mattapoisetl    

Maynard   

Medfield   

Medford    

Medway    

Melrose   

Mendon  

Merrimac   

Methuen    

Middleboro   

Milford    

Milton    

Montague  

Nahant  

Nantucket    

Natick    

Needham    

New  Bedford   . . . 

Newton    

Norfolk    

North  Adams  ... 
Northampton  ... 
North  Andover  . 
North  Attleboro 

Northbridge    

Norton  

Norwood    

Orange  

Orleans    

Oxford   

Peabody    

Pembroke  

Pepperell  

Pittsfield   

Princeton    

Provincetown  ... 

Quincy  

Raynham    

Reading  

Rehoboth    

Revere   

Rockport  

Rowley  

Rutland   

Salem    

Saugus    

Scituate   

Seekonk  

Sharon   

Shelbume  

Sherbom  


Total 

police 

employees 


46 
20 
20 
11 
33 
30 
24 
5 
136 
10 
17 
68 
59 
16 
32 
161 
25 

105 
14 
41 
13 
17 
29 
40 
24 
20 

164 

15 

47 

8 

14 
80 
38 
42 
53 
19 
12 
28 
56 
22 

255 

206 
20 
29 
61 
33 
48 
15 
19 
73 
10 
27 
22 
96 
27 
13 
92 
5 
23 

219 
20 
44 
26 

103 
16 
12 
1 
97 
51 
38 
36 
27 
2 
I6l 


Total 
ofTicers 


81 

43 

19 

20 

10 

28 

28 

23 

5 

127 

10 

13 

63 

51 

12 

30 
142 

19 
100 

12 

37 

II 

17  . 

22 

36 

22 

16 
113 

14 

45 
7 

10 

66 

32 

41 

51 

17 

II 

28  . 

49 

17 
234 
186 

14 

27 

53 

32 

38 

15  . 
17 
63 

9 
20 
17 
91 
26 
12 
83 

2 

18 
179 
17 
37 
21 
97 
15 
8 

1  . 
89 
51  . 
30 
31 
22 

2  . 

16  . 


319 


Table  78. — Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1991 — Continued 


Citv 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

emplo\ees 


Total 
officers 


Total 
civilians 


MASSACHUSETTS— Continued 

Shirley   

Somerset  

Somerv  ille   

Southboro    

South  Hadley  

Springfield 

Sterling    

Stockbridge 

Stoneham  

Stoughton  

Stow    

Sturbridge    

Sunderland    

Sutton    

Swarapscolt  

Swansea  

Taunton    

Tisbury    

Uxbridge  

Waltham  

Ware  

Wareham    

Warren    

Watertown  

Webster  

Welineet   

Wenham   

Westboro    

West  Boylston  

West  Bridgewater    

Westfield    

Weston    

Westport  

West  Springfield    

Westw  ood    

Wilbraham  

Wilmington  

Winchester  

Wobum  

Yarmouth  

MICHIGAN 

Adrian    

Albion    

Allegan    

Allen  Park  

Alma  

Almont    

Alpena   

Ann  Arbor  

Armada  

Atlas  Township    

Auburn    

Auburn  Hills   

Augusta  

Bad  Axe   

Bangor  

Baraga    

Barry  Township   

Bath  Township   

Battle  Creek  

Bay  City  

Beaverton  

Bedford  Township    

Belding    

Bellaire    

Belleville  

Benton  Harbor   

Benton  Township    

Berkley    

Berrien  Springs-Oronoko  

Beverly  Hills    

Big  Rapids  

Birch  Run  , 


15 
33 

139 
15 
27 

492 
15 
6 
45 
56 
16 
15 
3 

14 
34 
28 

100 
14 
18 

140 
15 
44 
8 
83 
29 
16 
II 
32 
13 
19 
66 
29 
24 
74 
31 
25 
43 
45 
89 
54 


36 

38 

10 

61 

16 

4 

21 

203 

2 

4 

3 

52 

1 

7 

4 


7 
155 


10 
29 

133 
12 
26 

440 
10 
6 
40 
54 
12 
11 
3 
11 
33 
26 
95 
12 
15 

132 
15 
41 
5 
70 
28 
10 
10 
27 
12 
18 
61 
25 
21 
67 
29 
24 
41 
37 
84 
45 


17 

4 

170 

33 

•) 

4 

2 

1 

40 
1 

12 

6 

1 

4 

7 

■) 

6 

1 

112 

43 

75 

7 

1 

9 

1 

8 

1 

' 

MICHIGAN— Continued 


Birmingham    

Blackman  Township    

Blissfield  

Bloomfield  Hills  

Bloomfield  Township    

Bloomingdale  

Boyne  City    

Breckenridge  

Bridgeport  Township  

Bridgman   

Brighton    

Bronson  

Brown  City  

Brownstown  Township  

Buchanan   

Buena  Vista  Charter  Township 

Burr  Oak   

Burton   

Cadillac  

Calumet    

Cambridge  Township    

Canton  Township   

Capac  

Carleton    

Caro   

Carrollton  Township   

Carson  City    

Carsonville    

Caseville   

Caseville  Township    

Cass  City   

Cassopolis    

Cedar  Springs    

Center  Line    

Centreville  

Charleston  Township    

Charlevoix  

Charlotte    

Cheboygan  

Chelsea    

Chesaning    

Chesaning  Township   

Chesterfield  Township    

Chikaming  Township    

Chocolay  Township    

Clare  

Clawson    

Clay  Township   

Clinton    

Clinton  Township  

Clio-Vienna  

Coldwater  

Coleman  

Coloma   

Coloma  Township  

Colon    

Columbia  Township    

Concord  Township  

Constantine  

Coopersville   

Corunna    

Covert  Township  

Croswell    

Crystal  Falls  

Crystal  Township    

Davison  

Davison  Township   

Dearborn    

Dearborn  Heights   

Decatur  

Deckerville    

Denmark  Township  

Denton  Township  

Detour  Village  

Detroit  


1 

2 

1 
3 
5 
6 

29 
2 
1 
7 

21 
9 

10 
5 
5 

15 
1 

4 
9 

25 

23 

3 

117 

10 

18 


4 
5 
5 
5 
5 
5 
1 

9 

11 

226 

121 

5 

1 

I 

2 

1 

4.572 


35 
18 

4 
23 
69 

1 

6 

3 

6 

4 
12 

5 

1 
25 

9 
17 

1 
36 
16 

2 

1 
58 

3 

3 

7 

5 

2 

1 

2 

1 

3 

5 

6 
25 

2 

1 

6 
20 

9 

7 

5 

5 
13 

1 

3 

7 
23 
18 

3  , 
88 

9 
14 
2  , 
3 
5 
2 

4  . 
2  . 

4  . 

5  . 
5  . 
5  . 
5  . 
5  . 
I  . 
7 

9 
196 
91 
5  . 
I   . 
1   . 


3,954 


320 


Table  78. — Number  of  Full-time  Law  Enforcement  Employees,  Cities.  October  31.  1991 — Continued 


Citv 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


MICHIGAN— Continued 


MICHIGAN— Continued 


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    

Edmore-Home  

Elk  Rapids    

Elkton    

Elsie    

Emmett  Township    

Erie  Township  

Escanaba  

Essexville   

Evart  

Fairhaven  Township   ... 

Farmington    

Farmington  Hills  

Fenton   

Femdale    

Rat  Rock  

Flint    

Flint  Township  

Flushing    

Flushing  Township  

Forsyth  Township  

Frankenmuth   

Frankfort    

Franklin    

Eraser  

Fremont    

Frost  Township    

Galesburg  

Garden  City  

Gaylord  

Genesee  Township    

Gemsh  Township  

Gibraltar  

Gladstone  

Gladwin    

jobles   

jrand  Beach   

3rand  Blanc  

jrand  Blanc  Township 
jrand  Haven    

jrand  Ledge   

jrand  Rapids   

jrandville   

jrayling    

jreen  Oak  Township  .. 

jreenville    

jrosse  lie  Township  ... 

jrosse  Pointe    

jrosse  Pointe  Farms    .. 

jrosse  Pointe  Park    

jrosse  Pointe  Shores    .. 

jrosse  Pointe  Woods  .. 
■  iamburg  Township  

lampton  Township  

lamtramck  

Uncock    

iarbor  Beach    

larbor  Springs  

larper  Woods    

Ian    

lartford   

tastings    


7 

12 

3 

16 

2 

5 

57 

33 

5 

85 

4 

9 

1 

35 

2 

3 

2 

1 

9 

2 

44 

12 

3 

I 

29 

141 

23 

60 

23 

387 

32 

II 

7 

7 

6 

4 

II 

48 

7 

I 

1 

55 

8 

17 

3 

14 

12 

3 

1 

2 

21 

32 

27 

13 

348 

24 

6 

10 

25 

22 

30 

38 

46 

22 

44 

11 

12 

51 

6 

4 

6 

45 

3 

6 

18 


6 

10 

3 

12 

2 

5 

50 

30 

4 

57 

4 

8 

I 

29 

2 

3 

2 

1 

8 

2 

37 

9 

3 

I 

23 

97 

17 

52 

22 

323 

28 

10 

6 

7 

6 

4 

10 

42 

6 

1 

1 

41 

7 

15 

3 

13 

12 

3 

1 

2 

16 

25 

24 

12 

267 

19 

5 

9 

17 

17 

25 

32 

43 

18 

43 

10 

II 

51 

6 

4 

5 

38 

3 

6 

13 


Hazel  Park   

Hesperia   

Highland  Park  

Hillsdale   

HoUand  

Holly  

Homer  

Hopkins    

Houghton  

Howard  City    

Howard  Township    ... 

HoweU  

Hudson   

Hudsonville  

Huntington  Woods  ... 

Huron  Township  

Imlay  City  

Ionia  

Iron  Mountain    

Iron  River  

Ironwood   

Ishpeming    

Ishpeming  Township  . 

Ithaca  

Jackson   

Jonesville   

Kalamazoo    

Kalamazoo  Township 

Kalkaska  

Keego  Harbor   

Kentwood    

Kingsford   

Kinross  Township  

Laingsburg  

Lake  Angelus  

Lake  Odessa  

Lake  Onon  

Lakeview    

L'.Anse   

Lansing   

Lansing  Township 

Lapeer   

Lathrup  Village    

Laurium    

Lawrence    

Lawton    

Lennon    

Leslie   

Lexington  

Lincoln  Park    

Lincoln  Township  

Linden  

Litchfield   

Livonia    

Lowell    

Ludington    

Luna  Pier    

Mackinac  Island  

Mackinaw  City  

Madison  Heights  

Madison  Township  ... 

Mancelona  

Manchester  Township 

Manistee  

Manistique    

Manton    

Marcellus   

Marenisco  Township  . 

Marine  City   

Marion  

Marletle    

Marquette    

Marshall   

Martin   

Marysville    


45 

36 

2 

2 

125 

100 

21 

16 

66 

53 

12 

8 

2 

2 

3 

3 

7 

7 

4 

1 

2 

2 

15 

14 

3 

3 

6 

5 

21 

16 

12 

g 

9 

8 

19 

15 

12 

12 

4 

4 

22 

16 

12 

II 

5 

4 

96 

63 

4 

4 

331 

250 

35 

26 

6 

5 

6 

5 

45 

39 

17 

17 

2 

2 

2 

2 

3 

3 

7 

4 

2 

2 

4 

4 

334 

247 

16 

15 

19 

16 

13 

10 

4 

4 

3 

3 

5 

5 

2 

2 

4 

4 

70 

62 

11 

9 

3 

3 

4 

4 

175 

151 

8 

6 

15 

14 

4 

4 

5 

4 

5 

5 

77 

61 

3 

-' 

1 
15 

1 
14 

11 

10 

2 

2 

2 

2 

10 

8 

3 

3 

41 

34 

19 

14 

13 

13 

t 


321 


Table  78. — Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1991 — Continued 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
ofTicers 


MICHIGAN— ConHnued 

Mason    

Mattawan  

May ville    

Melvindale  

Memphis    

Menominee  

Michiana    

Middleville    

Midland    

Midland  Township  

Milan    

Milford    

Millington    

Monroe   

Montague  

Montrose    

Montrose  Township  

Morenci  

Morrice   

Mount  Clemens    

Mount  Morris   

Mount  Morris  Township    

Mount  Pleasant    

Mundy  Township    

Munistng    

Muskegon  

Muskegon  Heights    

Muskegon  Township   

Napolean  Township  

Nashville    

Negaunee   

New  Baltimore   

Newberry    

New  Buffalo  

New  Lothrop  

Nlles   

Niles  Township    

Northfield  Township  

North  Muskegon    

Northville  

Nonhville  Township   

Norton  Shores  

Norvell  Township   

Norway    

Novi    

Oak  Park   

Olivet  

Onaway  

Ontwa  Township-Edwardsburgh   

Orchard  Lake    

Oscoda-Ausable  Township   

Otisville    

Otsego    

Ovid    

Owosso    

Oxford   

Parchment   

Parma    

Paw  Paw    

Pennfield  Township  

Pentwater  

Perry  

Petoskey    

Pigeon    

Pinckney  

Pinconning    

Piltsfield  Township    

Plainwell  

Pleasant  Ridge    

Plymouth    

Plymouth  Township  

Portage    

Port  Austin  

Port  Huron  

Portland    


MICHIGAN— Continued 


Port  Sanilac   

Polterville    

Prairieville  Township    

Quincy  

Reading  

Redford  Township   

Reed  City    

Reese    

Republic  Township    

Richfield  Township  (Roscommon  County) 

Richfield  Township  (Genesee  County)  

Richland   

Richland  Township    

Richmond    

River  Rouge  

Riverview  

Rochester  

Rockford    

Rockwood    

Rogers  City  

Romeo  

Romulus  

Roosevelt  Park   

Rose  City  

Roseville  

Ross  Township  

Royal  Oak  

Royal  Oak  Township   

Saginaw  

Saginaw  Township   

St.  Charles  

St.  Clair    

St   Clair  Shores   

St.  Ignace  

St.  Johns    

St.  Joseph    

St.  Joseph  Township  

St.  Louis  

Saline   

Sand  Lake  

Sandusky    

Saugatuck  

Sault  Ste.  Marie  

Schoolcraft  

Scottville  

Sebewaing    

Shelby    

Shelby  Township  

Somerset  Township    

Southfield  

Southgate   

South  Haven    : 

South  Lyon  , 

South  Rockwood    

Sparta 

Spaulding  Township    

Spring  Arbor  Township 

Springfield   

Spring  Lake-Ferrysburg    

Springport  Township  

Stanton    

Sterling  Heights    

Sturgis    

Sumpler  Township   

Sunfield  

Swarlz  Creek   

Sylvan  Lake    

Taylor    

Tecumseh  

Thomas  Township    

Three  Oaks  

Three  Rivers    

Tiltabawassee  Township    

Traverse  City  

Trenton  


I 

2 
1 
6 
2 
gg 
5 
2 
I 

3 

6 

4 

4 

10 

33 

32 

20 

g 

9 

7 

9 

71 

7 

1 

95 

2 

107 

24 

157 

43 

3 

10 

99 

6 

16 

26 

10 

9 

17 

2 

4 

3 

27 

3 

3 

4 

3 

51 

1 

207 

55 

21 

9 

1 

g 

1 

2 

12 

10 

1 

1 

225 

19 

6 

1 

g 

5 

125 

15 

2 

4 

17 

3 

33 

56 


I 
2 

4 
2 

75 
5 
2 
1 
3 
5 
4 
4 
7 

29 

2g 

14 
g 
g 
7 
6 

56 
6 
1 

g3 
2 

g9 

20 
141 

40 
3 
9 

g2 
5 

12 

20 
9 
6 

12 
2 
4 
2 

23 
2 
3 
4 
3 

42 

I 

155 

45 

15 
8 
1 
7 
1 
2 

11 

9 

1 

1 

167 

16 
5 

7 

5 

102 

14 
2 
4 

12 
3 

32 

49 


322 


Table  78. — Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1991 — Continued 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


MICHIGAN— Continued 


MINNESOTA— Continued 


Troy    

Tuscarora  Township    

Twin  City    

Ubiy    . . , . ; 

Unadilla  Township  

Union  City   

Unionville   

Utica  

Van  Buren  Township   

Vassar    

Vicksburg  

Walker  

Walled  Lake  

Warren    

Waterford  Township   

Watertown  Township    

Watervliet    

Wayland   

Wayne    

Webberville  

West  Bloomfield  Township 

West  Branch    

Westland  

White  Cloud    

Whitehall    

White  Lake  Township   

White  Pigeon  

Williamston    

Wixom  

Wolverine  Lake    

Woodhaven  

Woodstock  Township   

Wyandotte  

Wyoming    

Yale  

Vates  Township   

Vpsilanti   

Zeeland   

Milwaukee  


MINNESOTA 


Mbert  Lea  

\lexandria  

\noka    

\pple  Valley    

Krden  Hills  

Aurora  

\ustin 

kbbitt  

Jaxter    

iayport    

ielle  Plaine    

temidji    

tenson  

)ig  Lake  

llaine  

iloomington  

llue  Earth  

trainerd    

Ireckenridge  

Irooklyn  Center 

Irooklyn  Park  

luffalo  

iumsville  

'aledonia  

ambridge  

annon  Falls  

hamplin  

'hanhassen  

haska  

hisholm    

ircle  Pines-Lexington 

loquet    

old  Spring    


4 
4 
I 
I 

4 
I 

16 
8 
6 
5 

36 

17 

281 

103 

I 

3 

5 

53 
2 

66 

3 
118 

2 

6 

26 
3 
4 

16 
9 

29 
I 

62 

102 

3 

I 

54 
7 
2 


37 

22 

35 

51 

42 

6 

32 

4 

5 

4 

5 

21 

5 

5 

44 

117 

6 

23 

II 

54 

71 

9 

68 

3 

9 

5 

18 

4 

14 

13 

12 

17 

4 


134 
4 
4 
I 
I 
3 
I 

II 
7 
6 
4 

29 

13 
237 

80 
I 


48 


3 

4 

1 

38 

15 

•> 

50 

16 

2 

1 

101 

17 

■> 

6 

18 

8 

3 

4 

13 

3 

7 

2 

26 
1 

3 

49 

13 

76 

26 

3 

1 

44 

10 

6 

1 

t 

Columbia  Heights  ... 

Coon  Rapids    

Corcoran  

Cottage  Grove  

Crookston    

Crosby   

Crystal 

Dawson   

Dayton  

Deephaven  

Detroit  Lakes  

Dilworth   

Duluth   

Eagan    

East  Grand  Forks  . . . 

Eden  Prairie  

Edina   

Elk  River  

Ely   

Eveleth    

Fairmont    

Faribault   

Farmington   

Fergus  Falls    

Forest  Lake  

Fridley  

Gilbert  

Glencoe  

Glenwood  

Golden  Valley  

Goodview  

Grand  Rapids   

Granite  Falls    

Hastings    

Hermantown  

Hibbing  

Hopkins    

Hoyt  Lakes   

Hutchinson    

International  Falls  ... 
Inver  Grove  Heights 

Jackson    

Jordan    

Kasson  

Kenyon    

La  Crescent    

Lake  City  

Lakefield  

Lakeville  

Le  Sueur  

Lino  Lakes    

Litchfield    

Little  Falls  

Long  Prairie  

Luverne  

Madison    

Mankato   

Maple  Grove   

Maplewood    

Marshall    

Medina 

Melrose   

Mendota  Heights  

Minneapolis    

Minnetonka  

Montevideo  

Moorhead  

Mora  

Morris    

Mound  

Mounds  View    

Mountain  Iron    

New  Brighton    

New  Hope  

Newport    


4 
35 
15 

5 
35 

4 

3 

8 
13 

4 
147 
59 
22 
64 
53 
19 

9 
10 
18 
29 


1 1 

44 

6 

8 

3 

39 

4 

15 

5 

23 

8 

29 

31 

5 

22 

14 

30 

6 

3 

4 

3 

5 

8 

3 

36 

10 

II 

10 

13 

5 

5 

4 

42 

38 

50 

19 

7 

4 

17 

960 

58 

8 

61 

7 

8 

14 
15 
6 
21 
33 
7 


20 

48 

3 

27 
13 

5 

27 
4 
-) 

7 
II 

3 
125 
46 
21 
44 
48 
15 

8 

9 
14 
20 

7 

18 
10 
33 

6 

7 

3  , 
30 

4  , 
12 

5  , 
20 

6 
28 
23 

5  , 
17 
14  , 
24 

6  . 

3  . 

4  . 
3  . 
4 

7 

3  . 
24 

5 
9 
9 
II 

5  . 

5  . 

4  . 
36 
31 
39 
15 

6 

4  . 
15 
818 
44 

8  . 
40 

6 

7 

13 
14 

6  . 
19 
27 

7  . 


323 


Table  78. — Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1991 — Continued 


City 


Tolal 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Tolal 
officers 


MINNESOTA— Continued 


New  Prague    

New  Ulm  

Northfield    

North  Mankato    

North  St.  Paul    

Oakdale  

Oak  Park  Heights  

Olivia  

Orono  

Ortonville  

Osseo   

Owalonna  

Park  Rapids   

Pipestone   

Plainview   

Plymouth   

Princeton    

Prior  Lake  

Proctor    

Ramsey   

Red  Wing    

Redwood  Falls    

Richfield  

Robbmsdale   

Rochester   

Roseau  

Rosemount    

Roseville  

St.  Anthony    

St.  Bonifacius-Minnetrista 
St.  Cloud   

James   

Joseph    

Louis  Park 

Paul  

Paul  Park  

Peter  

Sartell  

Sauk  Centre   

Sauk  Rapids  

Savage   

Shakopee    

Silver  Bay   

Slayton    

Sleepy  Eye  

South  Lake  Minnetonka   .. 

South  St.  Paul    

Springfield   

Spring  Lake  Park    

Sprmg  Valley  

Staples  

Stillwater    

Thief  River  Falls  ..• 

Tracy    

Two  Harbors   

Virginia  

Wabasha   

Wadena  

Waite  Park    

Warroad   

Waseca    

Wayzata    

Wells  

West  Hennepin  

West  St.  Paul    

White  Bear  Lake  

Willmar  

Windom   

Winona    

Woodbury    

Worthington  


7 
20 
22 

9 
16 

7 

4 
15 

6 

3 
25 

5 

5 

3 
56 

7 
15 

6 
12 
25 

7 

52 

25 

114 

4 
12 
52 
13 

9 
71 

7 

4 

61 

686 

6 
16 

6 


MISSISSIPPI 


Aberdeen 


18 


16 

8 

14 

19 

6 

4 

14 

5 

3 

23 

5 

5 

3 

43 

6 

14 

5 

10 

23 

6 

41 

17 

93 

4 

II 

44 

12 

7 

60 

6 

4 

48 

515 

6 

11 

6 

5 

7 

14 
19 
4 
5 
5 

13 
24 
4 
9 
3 
5 

15 

15 

4 

7 

24 

3 

8 

6 

4 

10 

8 

4 

7 

22 

27 

28 

7 

35 

21 

17 


13 


13 

171 


MISSISSIPPI— Continued 


Ackerman  

Amorv    

Batesville   

Bay  St.  Louis 

Belzoni    

Booneville    

Brandon    

Calhoun  City  . 

Clarksdale    

Collins   

Columbia   

Columbus  

Como   

Corinth   

Decatur  

De  Kalb   

Edwards    

Eupora  

Forest  

Fulton    

Gloster  

Greenville    

Greenwood    . . . 

Grenada    

Hattiesburg   ... 

Hernando  

Holly  Springs  . 

Inverness    

Jackson    

Kosciusko  

Laurel  

Leakesville  

Long  Beach  . , . 

Lucedale  

Macon   

Madison   

McComb  

Mendenhall   ... 

Meridian  

Morton    

Moss  Pomt   ... 

Natchez  

Newton   

Ocean  Springs 

Okolona    

Oxford  

Pascagoula  

Pass  Christian 
Pelahatchie   . . . 

Petal   

Picayune  

Purvis  

Ridgeland  

Rolling  Fork  .. 

Ruleville  

Starkville    

Stonewall    

Tupelo   

Utica  

Vaiden  

Verona  

Vicksburg  

Waveland  

Wiggins   

Winona   

Yazoo  City    ... 


MISSOURI 


Arnold    

Aurora   

Baltwin    

Bellefontaine  Neighbors 

Bel-Nor   

Bel-Ridge   


5 

5 

19 

15 

29 

21 

22 

16 

11 

6 

22 

18 

25 

17 

6 

6 

44 

33 

10 

7 

25 

21 

63 

55 

5 

5 

33 

29 

2 

2 

3 

3 

6 

3 

8 

6 

15 

11 

6 

6 

7 

5 

128 

98 

54 

41 

39 

30 

130 

88 

9 

9 

18 

14 

3 

3 

457 

315 

22 

19 

75 

53 

2 

2 

28 

20 

14 

9 

5 

5 

19 

11 

40 

26 

11 

7 

114 

88 

8 

8 

43 

38 

63 

48 

12 

8 

38 

28 

7 

7 

44 

38 

76 

51 

19 

15 

3 

3 

16 

11 

34 

22 

7 

5 

45 

30 

5 

5 

10 

8 

46 

34 

3 

3 

84 

75 

4 

4 

8 

6 

76 

62 

21 

15 

13 

-9 

15 

11 

34 

26 

324 


Table  78. — Number  of  Full-lime  Law  Enforcement  Employees,  Cities,  October  31,  1991 — Continued 


City 


MISSOURI— Continued 


Bellon    

Berkeley    

Blue  Springs  

Bolivar  ., 

Bonne  Terre  

Boonville    

Branson  

Breckenridge  Hills  . 

Brentwood   

Bridgeton    

Brookfield    

Buckner  

Butler  

Calverton  Park  

Cameron  

Canton  

Cape  Girardeau  

Carrollton  

Carthage   

Centralia  

ChafTee    

Charlack  

Chcsterrield  

Claycomo  

Clayton    

Clinton    

Columbia  

Cool  Valley  

Country  Club  Hills 

Crestwood    

Creve  Coeur  

Crystal  City    

Dellwood    

De  Soto    

Des  Peres  

Edmundson  

Ellisville    

Eureka   

Excelsior  Springs   ... 

Farmington    

Fayette  

Fenton   

Ferguson  

Festus  

Flat  River   

Florissant   

Frontenac  

Fulton    

Gladstone  

Glendale  

Grandview  

Hannibal  

Harrisonville  

Hazelwood  

Hillsdale   

Independence  

[ronton    

Jackson   

Jefferson  City    

Jennings    

Joplin   

Kansas  City    

Kearney  

Kirksville   

Kirkwood  

Ladue   

Lake  Lotawana   

Lake  St.  Louis    

Lemar  

Lebanon    

Lees  Summit    

Lexington   

Macon    

Manchester   

Maplewood   


Total 

police 

employees 


32 

52 

72 

15 
7 

18 

25 

15 

27 

67 

16 
6 

12 
5 

15 
6 

81 

7 

26 

10 
9 

9 
61 

8 
66 

19 
128 

10 

9 
37 
47 

15 
15 

19 
39 

8 
21 
15 
25 
24 

6 
30 
59 
28 
13 
88 
23 
24 
61 
13 
58 
47 
22 
48 
II 
211 

4 
16 
82 
56 
79 
,780 

6 
29 
62 
32 

8 
20 

9 
23 
85 

7 
II 
21 
27 


Total 
officers 


56 

7 

52 

15 

100 

9 

7 

29 

38 

II 

14 

14 

33 


Total 
civilians 


6 

5 
4 
I 

5 
I 

14 
4 

28 

I 

2 
8 
9 
4 
I 
-  5 
6 


/ 
20 

1 
1 

14 

1 

18 

7 

16 

8 

5 

1 

23 

7 

52 

7 

19 

9 

8 

5 

72 

16 

18 

5 

20 

4 

52 

9 

10 

3 

47 

11 

28 

19 

14 

8 

37 

11 

10 

1 

156 

55 

4 

16 

65 

17 

42 

14 

61 

18 

1,167 

613 

6 

22 

7 

49 

13 

28 

4 

6 

2 

14 

6 

8 

1 

17 

6 

67 

18 

7 

10 

1 

20 

1 

22 

5 

City 


MISSOURI— Continued 


Marceline  

Marshall    

Maryland  Heights   . 

Maryville   

Mexico  

Moberly  

Moline  Acres  

Neosho    

Nevada    

Normandy   

North  Kansas  City 

Northwoods    

Oakview    

Odessa   

O'Fallon    

Olivette  

Osage  Beach  

Overland  

Pacific    

Pagedale   

Parkville   

Pevely    

Pine  Lawn  

Potosi   

Raytown    

Republic   

Richmond    

Richmond  Heights 

Riverside    

Riverview  

Rock  Hill  

Rolla  

St.  Ann   

St.  Charles  

Ste.  Genevieve    

St.  George   

St.  John    

St.  Joseph    

St.  Louis  

St.  Peters   

St.  Robert   

Salem    

Savannah    

Sedalia  

Shrewsbury    

Sikeston    

Slater    

Smithville  

Springfield  

Sugar  Creek   

Sulli\an   

Sunset  Hills    

Town  and  Country 

Trenton  

Union  

University  City  

Valley  Park  

Vandalia   

Vinila  Park  

Warrenton    

Warrensburg  

Warson  Woods  

Washington  

Webb  City  

Webster  Groves    

Weilston    

Wentzville   

Weston    

West  Plains 

Winchester 

Windsor    

Woodson  Terrace  .. 


Total 

police 

employees 


5 

29 

70 

23 

32 

38 

7 

26 

24 

20 

39 

20 

3 

6 

43 

26 

23 

65 

17 

17 

7 

17 

17 

16 

75 

15 

14 

33 

19 

8 

16 

33 

45 

101 

9 

4 

20 

137 

!,140 

59 

13 

14 

5 

47 

19 

55 

9 

8 

261 

13 

19 

23 

30 

16 

14 

94 

11 

g 

11 

14 

24 

7 

26 

12 

51 

20 

24 

4 

16 

2 

6 

IS 


Total 
officers 


5 

22 

56 

16 

28 

33 

7 

19 

16 

18 

31 

18 

3 

6 

34 

21 

15 

50 

11 

15 

6 

12 

16 

13 

59 

15 

10 

30 

13 

8 

12 

23 

38 

76 

8 

4 

18 

102 

1.516 

48 

9 

14 

5 

39 

17 

48 

5 

7 

204 

11 

12 

17 

27 

10 

12 

75 

10 

5 

10 

9 

22 

6 

21 

12 

42 

16 

18 

4 

16 

1 

6 

13 


325 


Table  78. — Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1991 — Continued 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


MONTANA 


Baker   

Belgrade    

Billings    

Bozeman  

Columbia  Falls  

Conrad    

Deer  Lodge-Powell  County 

Dillon  

East  Helena    

Eureka 

Fort  Benton   

Glasgow    

Gtendive  

Great  Falls    

Hamilton    

Havre  

Helena   

Kahspell   

Laurel  

Lewistown    

Livingston    

Miles  City-Custer  County  .. 

Missoula  

Plentywood   

Poison    

Red  Lodge  

Ronan  City  

Saint  Ignatius    

Thompson  Falls  

Three  Forks    

Troy    

West  Yellowstone   

Whitefish   


NEBRASKA 


Albion    

Alliance  

Ashland  

Auburn    

Aurora   

Beatrice  

Bellevue    

Blair    

Broken  Bow   .. 
Central  City   .. 

Chadron    

Columbus  

Cozad  

Crete  

David  City    ... 

Elkhom    

Fairbury    

Falls  City  

Fremont    

Geneva    

Gering    

Gordon    

Gothenburg  . . . 
Grand  Island   . 

Hastings    

Holdrege  

Imperial    

Kearney  

Kimball  

La  Vista   

Lexington   

Lincoln    

Madison   

McCook    

Milford    

Minden    

Mitchell  

Nebraska  City 
Neligh    


NEBRASKA— Continued 


4 

8 

124 

35 

12 

5 

5 

10 

4 

2 

3 

II 

16 

92 

10 

19 

41 

35 

15 

12 

14 

16 

80 

3 

7 

5 

4 

1 

2 

2 

3 

8 

15 


3 

25 

5 

6 

7 

25 

56 

13 

8 

6 

18 

33 

10 

13 

4 

4 

7 

13 

38 

3 

17 
7 

10 

60 

45 

13 

4 

38 

7 

20 

16 

329 

3 

18 
5 
6 
4 
13 
3 


3 

19 

4 

6 

6 

18 

42 

II 

7 

5 

12 

23 

6 

8 

4 

4 

6 

9 

29 

3 

14 

6 

6 

54 

37 

9 

4 

33 

6 

17 

12 

250 

3 

15 

5 

5 

4 

12 

3 


Norfolk  

North  Platte  

Ogallala  

Omaha  

O'Neill  

Ord    

Papillion  

Platlsmouth  

Ralston    

Schuyler    

ScottsblufT  

Seward  

Sidney    

South  Sioux  City 

Stanton    

Superior    

Syracuse    

Tecumseh  

Tekamah  

Valentine    

Valley  

Wahoo  

Wayne    

West  Point    

Wilber    

Wymore    

York    


NEVADA 


Boulder  City    

Caliente  

Carlin  

Fallon  

Henderson   

Las  Vegas  Metropolitan  Police  Department 

Jurisdiction  

Lovelock  

Reno  

Sparks    

Wells  

Winnemucca  


NEW  HAMPSHIRE 


Amherst    

Ashland   

Atkinson   

Auburn    

Barrington    .. 

Bedford   

Belmont    

Berlin   

Boscawen    . . . 

Bow  

Bristol    

Charlestown 
Chesterfield  . 
Claremont    .. 
Colebrook    . . 

Concord    

Conway  

Derry    

Dover  

Durham  

Enfield  

Epping   

Exeter  

Farmington   . 
Fitzwilliam 

Franklin    

Goffstown    . . 

Gorham  

Grantham  ... 
Greenfield    . . 


51 

53 

10 

757 

10 

8 

14 

9 

9 

7 

34 

12 

15 

21 

2 

4 

3 

4 

4 

4 

3 

6 

11 

7 

4 

3 

20 


28 
3 
5 

25 
146 

1,577 

7 

461 

112 

5 

19 


36 

34 

8 

608 

7 

4 

13 
8 
8 
6 

30 
8 

11 

16 
2 
4 
3 
3 
4 
4 
3 
6 
7 
6 
4 
3 

15 


22 

3 

5 

18 

90 

989 

6 

299 

70 

5 

15 


13 

5 

2 

4 

6 

24 

10 

23 

4 

7 

6 

4 

4 

23 

3 

69 

21 

41 

4} 

14 

5 

4 

20 

11 

2 

17 

24 

7 

2 

1 


326 


Table  78. — Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1991 — Continued 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


NEW  HAMPSHIRE— Continued 


NEW  JERSEY— Continued 


Greenville    

Hampstead    

Hampton    

Hanover    

Henniker    

Hillsboro  

Hinsdale   

Holdemess  

Hollis    

Hookselt   

Hudson    

JafTrey    

Keene  

Kingston   

Laconia   

Lancaster   

Lebanon    

Lee  

Lincoln    

Litchfield    

Littleton    

Londonderry  

Loudon    

Manchester   

Meredith  

Merrimack  

Milford    

Milion   

Moultonboro    

Nashua    

New  Castle   

New  Hampton    . . 

Newington   

New  London    

Newmarket    

Newport    

Newton   

Nonhfield    

North  Hampton   . 
Northumberland  . 

Northwood    

Orford    

Pelham    

Pembroke  

Peterborough    

Pittsfield   

Plamfield    

Plaistow    

Plymouth   

Portsmouth    

Raymond    

Rindge  

Rochester  

Rye    

Salem   

Seabrook  

Somersworth  

Sunapee  

Swanzey    

Tilton   

Troy    

Wakefield  

Waterville  Valley 

Webster  

Wilton    

Winchester 

Windham   

Wolfeboro   

Woodstock  


NEW  JERSEY 


\berdeen  Township 

\bsecon    

Mlendale    


4 

3 

40 

26 

6 

13 

5 

5 

10 

33 

37 

13 

54 

5 

38 

6 

33 

5 

13 

8 

10 

41 

3 

229 

14 

42 

22 

4 

6 

203 

2 

5 

10 

10 

12 

17 

5 

7 

10 

3 

4 

1 

20 

II 

II 

4 

2 

17 

17 

79 

9 

6 

48 

8 

62 

24 

26 

4 

5 

9 

1 

8 

7 

1 

6 
5 
19 
12 
4 


4 

3 

31 

16 

6 

8 

4 

5 

9 

20 

27 

II 

41 

4 

29 

6 

30 

4 

g 

7 

9 

32 

3 

175 

11 

31 

19 

3 

5 

153 

2 

5 

9 

6 

II 

13 

4 

6 

9 

3 

3 

1 

14 

10 

9 

4 

2 

12 

10 

62 

8 

5 

39 

7 

46 

19 

19 

3 

4 

8 

I 

7 

6 

1 

5 

4 

14 

9 


AUenhurst    

Allentown  

Alpha    

Alpine    

Andover  Township  

Asbury  Park   

Atlantic  City    

Atlantic  Highlands    

Audubon  

Audubon  Park  

Avalon   

Avon-by-the  Sea  

Bamegat  Township  

Bamngton   

Bay  Head  

Bayonne    

Beach  Haven   

Beachwood    

Bedminster  Township  ... 

Belleville  

Bellmawr    

Belmar  

Belvidere    

Bergenfield    

Berkeley  Heights   

Berkeley  Township  

Berlin   

Berlin  Township    

Bernards  Township    

Bemardsville    

Beverly    

Blairstown  Township 

Bloomfield  

Bloomingdale  

Bogota   

Boonton    

Boonton  Township  

Bordentown    

Bordentown  Township   .. 

Bound  Brook  

Bradley  Beach  

Branchburg  Township  . . . 

Brick  Township    

Bridgeton    

Bridgewater  Township    .. 

Brielle  

Brigantine 

Brooklawn   

Buena  

Burlington    

Burlington  Township  

Butler   

Byram  Township  

Caldwell    

Califon  

Camden  

Cape  May   

Cape  May  Point    

CarlstadI  

Cameys  Point  Township 

Carteret  

Cedar  Grove  Township  . 

Chatham  

Chatham  Township    

Cherry  Hill    

Chesilhurst    

Chester    

Chesterfield  Township   .. 

Chester  Township   

Cinnaminson  Township  . 

Clark  

Clayton    

Clementon   

ClifTside  Park    

Clifton   


12 

8 

6 

6 

3 

3 

12 

12 

11 

7 

62 

54 

545 

413 

19 

14 

18 

17 

4 

4 

32 

24 

9 

9 

25 

21 

17 

16 

9 

8 

181 

163 

16 

14 

16 

14 

14 

13 

94 

90 

25 

19 

25 

20 

6 

6 

54 

49 

30 

25 

70 

58 

17 

15 

16 

14 

35 

26 

19 

15 

8 

7 

9 

5 

130 

110 

15 

14 

22 

22 

22 

18 

9 

9 

IS 

11 

27 

19 

23 

18 

20 

16 

18 

17 

113 

90 

68 

57 

65 

53 

17 

15 

41 

35 

5 

5 

14 

9 

39 

34 

43 

34 

13 

12 

15 

13 

23 

22 

2 

2 

385 

311 

24 

17 

7 

7 

32 

30 

22 

17 

61 

53 

31 

30 

25 

19 

29 

24 

147 

119 

7 

7 

8 

7 

19 

18 

32 

27 

50 

44 

25 

14 

12 

11 

45 

40 

154 

135 

327 


Table  78. — Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1991 — Continued 


City 


Tolal 

police 

employees 


Tolal 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


NEW  JERSEY— Continued 


Clinton    

Clinton  Township  

Closter  

Collingswood    

Colts  Neck  Township  

Cranbury  Township  

Cranford  Township    

Cresskill    

Deal    

Delanco  Township   

Delaware  Township   

Delran  Township  

Demarest    

Denville  Township  

Deptford  Township    

Dover  

Dover  Township    

Dumont    

Dunellen  

Eastampton  Township    

East  Brunswick  Township    

East  Greenwich  Township  

East  Hanover  Township    

East  Newark  

East  Orange    

East  Rutherford   

East  Windsor  Township    

Eatontown    

Edgewater    

Edgewater  Park  Township  

Edison  Township  

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  

Flemington    

Florence  Township  

Florham  Park    

Fort  Lee  

Franklin    

Franklin  Lakes    

Franklin  Township  (Gloucester  County)  .. 
Franklin  Township  (Hunterdon  County)  .. 

Franklin  Township  (Somerset  County)  

Freehold    

Freehold  Township    

Frenchtown   

Galloway  Township   

Garfield  

Garwood  

Gibbsboro   

Glassboro   

Glen  Ridge   

Glen  Rock  

Gloucester  City    

Gloucester  Township  

Green  Brook    

Greenwich  Township  (Gloucester  County) 
Greenwich  Township  (Warren  County)  ... 
Guttenberg    


NEW  JERSEY— Continued 


7 
22 
21 
27 
22 
12 
62 
26 
17 

8 

7 
27 
12 
37 
57 
32 
167 
31 
17 
15 
120 
12 
32 

9 

280 

31 

54 

42 

26 

14 

200 

26 

81 

387 

7 

3 
36 
19 
86 
27 

2 
13 
47 
80 
38 
13 
63 
26 
22 

4 
11 
25 
28 
111 
13 
26 
31 

7 
95 
33 
53 

4 
43 
53 
17 

2 
48 
34 
25 
30 
87 
18 
20 

2 
21 


7 
20 
19 
23 
15 
11 
48 
23 
13 
7 
6 
22 
12 
29 
48 
30 
132 
29 
14 
14 
91 

27 

9 

270 

28 

42 

32 

25 

13 

162 

13 

63 

315 

6 

3 
33 
19 
75 
26 

2 
11 
42 
72 
36 
12 
53 
26 
21 

4 
10 
20 
27 
94 
12 
21 
24 

7 
81 
25 
42 

4 
38 
46 
17 

2 
39 
27 
21 
25 
68 
14 
15 

2 
20 


14 


Hackensack  

Hackettstown  

Haddonfield    

Haddon  Heights  

Haddon  Township    

Haledon    

Hamburg    

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

Hammonton   

Hanover  Township  

Harding  Township    

Hardyston  Township  

Harrington  Park  

Harrison   

Harrison  Township    

Harvey  Cedars    

Hasbrouck  Heights  

Haworth    

Hawthorne  

Hazlet  Township   

Helmetta  

High  Bridge    

Highland  Park  

Highlands  

Hightstown    

Hillsborough  Township    

Hillsdale   

Hillside  Township  

Hi  Nella   

Hoboken  

Ho-Ho-Kus    

Holland  Township    

Holmdel  Township  

Hopalcong  

Hopewell  Township  

Howell  Township    

I  ndependence  Township    

Interlaken  

Irvington 

Island  Heights  

Jackson  Township 

Jamesburg    

Jefferson  Township    

Jersey  City    

Keansburg   

Kearny  

Kenilworth    

Keyport  

Kinnelon  

Lacey  Township  

Lakehurst   

Lakewood  

Lambertville   

Laurel  Springs  

Lavallette   

Lawnside    

Lawrence  Township  

Lebanon  Township  

Leonia    

Lincoln  Park    

Linden   

Lindenwold   

Linwood   

Little  Egg  Harbor  Township  

Little  Falls  Township    

Little  Ferry  

Little  Silver    

Livingston    

Lodi    

Logan  Township    

Long  Beach  Township    

Long  Branch    

Longport   

Lopatcong  Township  


122 

107 

22 

17 

29 

22 

21 

16 

31 

25 

21 

16 

6 

6 

197 

171 

49 

38 

33 

26 

33 

27 

16 

15 

20 

14 

12 

12 

54 

51 

8 

8 

9 

8 

33 

31 

15 

13 

30 

29 

48 

44 

4 

4 

5 

5 

39 

31 

17 

13 

16 

11 

45 

37 

22 

21 

82 

71 

3 

3 

137 

132 

14 

14 

6 

5 

36 

28 

29 

22 

30 

25 

84 

68 

5 

4 

5 

5 

184 

158 

5 

5 

68 

55 

11 

10 

38 

32 

884 

808 

33 

27 

142 

134 

26 

25 

27 

19 

16 

15 

44 

35 

9 

8 

109 

90 

15 

12 

6 

5 

15 

11 

8 

7 

68 

60 

9 

8 

24 

20 

26 

24 

138 

122 

30 

27 

21 

18 

33 

24 

27 

21 

25 

23 

19 

14 

62 

54 

43 

41 

11 

11 

42 

37 

98 

81 

14 

10 

14 

9 

328 


Table  78. — Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1991 — Continued 


City 


Total 

police 

employees 


Total 
oflTicers 


Total 
civilians 


Cty 


Total 

police 

employees 


Total 
officers 


NEW  JERSEY— Continued 

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    

Middietown  Township   

Midland  Park    

Milford    

Millbum  Township    

Milllown  

Millville    

Mine  Hill  Township    

Monmouth  Beach    

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

Montclair   

Montgomery  Township    

Montvale    

Montville  Township  

Moonachie  

Moorestown  Township  

Morris  Plains  

Mornstown    

Morris  Township  

Mountain  Lakes  

Mountainside  

Mount  Arlington    

Mount  Ephraim   

Mount  Holly    

Mount  Laurel  Township  

Mount  Olive  Township  

Mullica  Township  

National  Park    

Neptune    

Neptune  Township  

Netcong  

Newark    

New  Brunswick    

Newfield   

New  Hanover  Township  

New  Milford    

New  Providence  

Newton    

North  Arlington   

North  Bergen  Township   

North  Brunswick  Township    

North  Caldwell   

Northfield    

North  Haledon   

North  Hanover  Township    

North  Plainfield  


18 
47 
21 
53 
36 

9 
55 
57 
22 
79 
11 

4 

8 
27 
24 
37 
66 
39 
62 
27 
25 

9 
42 
11 
16 
17 
31 
30 
52 
120 
15 

1 
64 
17 
67 

9 
11 
59 
40 
116 
25 
22 
37 
19 
38 
24 
65 
55 
16 
25 

9 
12 
26 
57 
49 
14 

6 
19 
73 

8 

1.267 

149 

4 

2 
33 
28 
22 
44 
127 
86 
19 
25 
19 

5 
43 


13 
41 
19 
47 
33 

8 
49 
45 
17 
66 
11 

3 

7 
17 
22 
30 
54 
30 
49 
22 
24 

8 
33 
10 
14 
13 
27 
29 
39 
100 
II 

I 
59 
13 
56 

8 
10 
48 
32 
99 
18 
21 
33 
16 
29 
18 
57 
46 
13 
20 

8 
II 
23 
45 
42 
13 

6 
14 
64 

7 

l.lll 

121 

4 

2 
30 
23 
17 
42 
117 
73 
17 
18 
15 

4 
38 


5 

9 

1 

156 

28 


NEW  JERSEY— Continued 


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    

Parisppany-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  Township  

Point  Pleasant  

Point  Pleasant  Beach    

Pompton  Lakes    

Princeton    

Princeton  Township  

Prospect  Park    

Rahway   

Ramsey   

Randolph  Township    

Raritan    

Raritan  Township  

Readington  Township  

Red  Bank  

Ridgefield  

Ridgefield  Park    

Ridgewood  

Ringwood  

Riverdale    

River  Edge   

Riverside    

Riverton   

River  Vale  

Rochelle  Park  Township  

Rockaway  

Rockaway  Township   

Roseland  

Roselle  

Roselle  Park  

Roxbury  Township  


13 

12 

37 

32 

14 

14 

68 

60 

36 

31 

9 

8 

97 

64 

6 

6 

19 

14 

70 

59 

16 

12 

6 

6 

123 

92 

13 

12 

23 

22 

108 

97 

6 

5 

33 

30 

16 

15 

119 

93 

21 

19 

141 

116 

145 

135 

24 

18 

393 

353 

22 

16 

8 

7 

2 

2 

47 

42 

4 

4 

128 

94 

21 

15 

31 

28 

30 

25 

128 

114 

38 

31 

7 

6 

15 

13 

8 

7 

96 

84 

17 

12 

180 

138 

31 

24 

51 

43 

5 

4 

7 

6 

34 

26 

27 

19 

27 

21 

40 

32 

37 

30 

11 

11 

79 

73 

36 

31 

45 

37 

21 

19 

27 

24 

17 

15 

48 

43 

35 

32 

32 

28 

54 

46 

29 

23 

14 

10 

26 

23 

14 

13 

6 

6 

19 

19 

20 

20 

14 

13 

66 

50 

24 

24 

51 

48 

31 

31 

41 

34 

329 


Table  78. — Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1991 — Continued 


City 


Total 

police 

employees 


Total 
officers 


Total 

civilians 


City 


Total 

police 

employees 


Total 
orTicers 


NEW  JERSEY— Continued 


Rumson  

Runnemede  

Rutheil'ord  

Saddle  Brook  Township   

Saddle  River    

Salem   

SayreviUe   

Scotch  Plains  Township    

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    

Tinton  Falls   

Totowa    

Trenton   

Tuckerton  

Union  Beach   

Union  City    

Union  Township    

Upper  Saddle  River    

Ventnor  City    

Vernon  Township   

Verona  

Vineland  

Voorhees  Township   

Waldwick   

Wallington  

Wall  Township   

Wanaque    

Warren  Township   

Washington   

Washington  Township  (Bergen  County)  

Washington  Township  (Gloucester  County) 
Washington  Township  (Mercer  County)  ... 
Washington  Township  (Morris  County)  .... 
Washington  Township  (Warren  County)   ... 

Watchung  

Waterford  Township   

Wayne  Township  


NEW  JERSEY— Continued 


19 
16 
47 
34 
15 
25 
102 
48 
13 
12 
35 
36 
18 
78 
12 
18 
12 
31 
40 
29 

9 
12 
86 
20 

2 
65 
60 
35 

7 
36 
23 
46 

2 
17 
15 
50 

7 

2 
27 
II 
56 
15 

3 

5 
99 
33 

7 

8 
40 
25 
428 
10 
17 
180 
157 
23 
47 
33 
33 
123 
50 
23 
20 
66 
22 
29 
19 
21 
77 
21 
35 
II 
28 
20 
121 


17 
14 
42 
32 
13 
19 
84 
43 

9 

9 
23 
27 
15 
69 
II 
14 
11 
25 
33 
28 

9 
12 
67 
20 

2 
55 
54 
29 

7 
30 
18 
42 

2 
14 
13 
37 

6 

2 
21 
10 
45 
11 

3 

5 
87 
29 

7 

8 

31 

23 

372 

8 
14 
152 
112 
19 
37 
26 
30 
107 
38 
19 
20 
53 
18 
22 
12 
21 
62 
16 
27 
10 
21 
18 
96 


19 


Weehawken  Township    . . . 

Wenonah    

Westampton  Township  ... 
West  Amwell  Township    . 

West  Caldwell  

West  Cape  May  

West  Deptford  Township 

Westfield    

West  Long  Branch   

West  Milford  Township    . 

West  New  York  

West  Orange    

West  Paterson  

Westville  

West  Wildwood    

West  Windsor  Township 

Westwood    

Wharton    

Wildwood  

Wildwood  Crest 

Willingboro  Township    ... 

Winfield  Township  

Winslow  Township  

Woodbridge  Township   ... 

Woodbury    

Woodbury  Heights    

Woodcliff  Lake  

Woodlynne    

Wood  Ridge  

Woodstown   

Woolwich  Township    

WyckofT    


NEW  MEXICO 


Alamogordo    

Albuquerque  

Artesia   

Aztec    

Bayard  

Belen    

Bloomfield  

Capitan    

Carlsbad   

Clayton   

Clovis  

Corrales  

Cuba   

Deming   

Eunice    

Farmington   

Gallup    

Grants    

Hobbs    

Hurley   

Jal    

Jemez  Springs  

Las  Cruces    

Los  Alamos  

Los  Lunas   

Lovington  

Milan    

Mountainair    

Portales  

Questa   

Raton   

Rio  Rancho    

Ruidoso  

Ruidoso  Downs    

San  lldefonso  Pueblo 

Silver  City  

Socorro    

Taos    

Taos  Pueblo  Tribal    .. 
Tatum    


51 

47 

6 

5 

22 

19 

4 

4 

32 

30 

7 

7 

36 

29 

69 

59 

22 

17 

50 

43 

105 

105 

102 

94 

21 

20 

12 

9 

3 

3 

44 

36 

26 

24 

11 

10 

54 

44 

28 

23 

82 

66 

8 

8 

77 

61 

228 

190 

33 

25 

8 

7 

17 

16 

7 

6 

20 

19 

8 

7 

6 

5 

26 

24 

79 

63 

1.175 

803 

36 

21 

24 

14 

7 

6 

24 

18 

20 

14 

2 

2 

63 

48 

16 

7 

76 

59 

17 

10 

8 

2 

30 

24 

9 

5 

125 

80 

108 

52 

26 

22 

101 

64 

5 

4 

10 

6 

4 

2 

144 

118 

54 

37 

24 

18 

28 

19 

11 

7 

7 

3 

32 

23 

3 

2 

22 

15 

103 

60 

28 

26 

29 

18 

3 

2 

29 

22 

23 

15 

24 

16 

13 

7 

7 

3 

330 


Table  78. — Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1991 — Continued 


Citv 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


NEW  MEXICO— Continued 


NEW  YORK— Continued 


Truth  or  Consequences 

Tucumcari   

Tuiarosa 

Wagon  Mound    


NEW  YORK 


Addison  Town  and  Village 

Albany   

Alexandria  Bay  Village    

Alfred  Village    

Amherst  Town    

Amityville  Village   

Amsterdam    

Arcade  Village  

Ardsley    

Avon  Village    

Baldwinsville  Village  

Ballston  Spa  Village    

Batavia    

Bath  Village   

Beacon  

Bedford  Town  

Bethlehem  Town    

Binghamton    

Blooming  Grove  Town    

Bolivar  Village    

Boonville  Village   

Brant  Town    

Briarcliff  Manor  Village    ... 

Brighton  Town    

Brockport  Village    

Bronxville  Village   

Buchanan  Village  

Buffalo  

Caledonia  Village    

Cambridge  Village    

Camden  Village    

Camillus  Town  and  Village 

Canajoharie  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   

Chester  Town    

Chittenango  Village    

Clay  Town    

Clifton  Springs  Village  

Cobleskill  Village  

Cohocton  Town    

Cohoes  

Cooperstown  Village   

Coming  

Cortland 

Cortlandt  Town 

Cove  Neck  Village 

Crolon-on-Hudson-Village 

Delhi  Village 

Depew  Village 

Deposit  Village 

Dobbs  Ferry  Village 

Dryden  Village 

Dunkirk 

East  Aurora-  Aurora  Town 

East  Fishkill  Town  

East  Greenbush  Town    

East  Hampton  Town  

East  Rochester  Village  


375 

3 

6 

172 

26 

40 

6 

19 

4 

15 

10 

39 

14 

38 

40 

44 

146 

12 

I 

2 

I 

18 

51 

II 

26 

6 

1. 112 

3 

3 

3 

19 

4 

12 

40 

I 

7 

14 

7 

4 

6 

3 

166 

5 

I 

5 

26 

I 

9 

I 

37 

7 

28 

40 

16 

3 

19 

4 

39 

3 

24 

4 

32 

18 

28 

24 

61 

13 


308 

3 

6 

147 

26 

37 

6 

17 

4 

12 

4 

32 

10 

36 

37 

33 

134 

12 

1 

2 

I 

18 

42 

11 

23 

6 

973 

3 

3 

3 

18 

4 

10 

37 

1 

6 
14 
6 
4 
6 
3 
137 
5 
I 
5 

19 
I 
9 

34 

6 

28 

37 

9 

3 

18 

4 

31 

3 

23 

3 

31 

14 

20 

17 

46 

II 


67 


9 

3 

139 


29 


East  Syracuse  Village    

Eden  Town  

Ellicolt  Town  

Elmira    

Elmira  Heights  Village  

Endicott  Village   

Erwin  Town   

Evans  Town   

Fairpon  Village    

Fallsburg  Town  

Floral  Park  Village  

Fort  Plain  Village  

Fredonia  Village    

Freeport  Village  

Fulton    

Garden  City  Village    

Gates  Town    

Geddes  Town    

Geneseo  Village    

Geneva    

Glen  Cove  

Glens  Falls    

Glenville  Town  

Goshen    

Goshen  Village   

Gouvemeur  Village    

Gowanda  Village   

Granville  Village    

Great  Neck  Estates  Village 

Greece  Town   

Greenburgh  Town  

Greene  Village    

Greenport  Town    

Greenport  Village    

Groton  Village    

Hamburg  Village   

Hammondsport  Village    

Harriman  Village  

Harrison  Town   

Hastings-on-Hudson  Village 

Haverstraw  Town    

Holley  Village    

Homer  Village  

Hoosick  Falls  Village    

Homell    

Horseheads  Village  

Hudson   

Hudson  Falls  Village  

Huntington  Bay  Village  

Hyde  Park  Town    

llion  Village   

Inlet  Town    

Irvington  Village    

Ithaca  

Jamestown  

Johnson  City  Village  

Johnstown   

Kenmore  Village    

Kensington  Village  

Kent  Town   

Kingston   

Lackawanna    

Lake  Placid  Village    

Lake  Success  Village  

Lakewood-Busti    

Larchmont  Village    

Laurel  Hollow  Village    

Lewiston  Village    

Liberty  Village    

Lloyd  Town    

Lloyd  Harbor  Village    

Lockport   

Long  Beach  

Lowville  Village   

Lynbrook  Village  


11 

5 

9 

78 

10 

38 

1 

25 

11 

24 

46 

3 

17 

103 

39 

66 

38 

16 

7 

36 

52 

37 

29 

2 

13 

13 

5 

6 

15 

102 

124 

2 

2 

9 

10 

22 

1 

5 

71 

21 

29 

3 

5 

4 

21 

14 

22 

15 

5 

11 

16 

5 

22 

82 

91 

42 

23 

27 

6 

21 

78 

64 

16 

26 

10 

27 

9 

2 

18 

10 

13 

53 

89 

6 

50 


4 

8 
73 
10  . 
36 

1  . 
20 
10 
20 
37 

3  . 
16 
89 
35 
52 
31 
15 

7  . 
34 
47 
30 
20 

2  . 
12 

9 

5  . 

6  . 
14 
90 

102 
2  . 

2  . 
9  . 

10  . 
16 

1  . 

5  . 
63 

21  . 
28 

3  . 
4 

4  . 
20 
10 
21 
11 

5  . 
9 

16  . 
3 

22  . 
73 
75 
38 

23  . 
26 

6  . 
17 
72 
44 
14 
23 

9 
26 
9  . 

2  . 
15 
10  . 
12 
51 
77 

6  . 
45 


331 


Table  78. — Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1991 — Continued 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


NEW  YORK— Continued 


Lyons  Village  

Macedon  Town  and  Village   

Mamaroneck  Town    

Mamaroneck  Village    

Manlius  Town  

Marcellus  Village  

Massena  Village   

Medina  Village   

Menands  Village    

Middleport  Village   

Middletown  

Monroe  Village  

Montgomery  Town  

Monticello  Village  

Mount  Kisco  Village  

Mount  Pleasant  Town    

Mount  Vernon    

Newark  Village   

New  Castle  Town   

New  Hartford  Town  and  Village 

New  Windsor  Town    

New  York    

New  York  Mills  Village    

Niagara  Falls   

Niagara  Town    

Niskayuna  Town    

Nissequogue  Village  

North  Castle  Town    

North  Greenbush  Town    

Northpon  Village    

North  Syracuse  Village    

North  Tarrytown  Village    

North  Tonawanda  

Norwich    

Ogden  Town    

Ogdensburg  

Old  Brookville  Village   

Old  Westbury  Village  

Olean    

Oneonta    

Orchard  Park  Town    

Ossining  Town    

Ossinmg  Village   

Oswego    

Owego  Village  

Oxford  Village    

Painted  Post  Village    

Palmyra  Village    

Parish  Town  

Pawlmg  Village  

Pelham  Village    

Perry  Village    

Phoenix  Village    

Plattsburgh    

Port  Chester  Village    

Port  Dickmson  Village    

Port  Jervis  

Port  Washington  Village  

Potsdam  Village  

Poughkeepsie    

Poughkeepsie  Town    

Pound  Ridge  Town    

Pulaski  Village    

Putnam  Valley  Town    

Quogue  Village 

Ramapo  Town    

Rensselaer    

Rhinebeck  Village  

Riverhead  Town    

Rochester   

Rockville  Centre  Village  

Rome 

Rosendale  Town    

Rotterdam  Town   

Rouses  Point  Village  


U 

2 

40 

48 

39 

1 

24 

15 

10 

2 

60 

17 

4 

27 

33 

54 

254 

20 

36 

23 

47 

36,227 

3 

175 

5 

31 

4 

35 

8 

20 

13 

26 

55 

22 

12 

28 

51 

27 

40 

27 

31 

13 

55 

53 

12 

1 

4 
6 
1 

4 

26 

5 

1 

42 

62 

4 

24 

63 

18 

91 

86 

1 

2 

16 

12 

109 

31 

2 

75 

776 

64 

73 

3 

52 

3 


9 

2 

39 

46 

35 

1 

23 

11 

10 

2 

53 

14 

3 

24 

31 

43 

177 

19 

34 

14 

34 

26.856 

2 

155 

4 

26 

4 

31 

6 

16 

10 

26 

52 

20 

10 

23 

42 

23 

38 

24 

30 

13 

48 

49 

8 

1 

4 
5 
1 

4 

23 

5 

1 

40 

58 

3 

24 

54 

15 

80 

76 

1 

2 

11 

12 

98 

26 

1 

64 

649 

54 

69 

3 

41 

3 


7 
3 
1 
3 
2 

11 

77 
1 

2 
9 

13 

9,371 

1 

20 
1 
5 


II 

5 
1 

11 
127 

10 
4 


NEW  YORK— Continued 


Rye    

Rye  Brook  Village    

Sag  Harbor  Village  

St.  Johnsville  Village  

Salamanca    

Sands  Point  Village   

Saranac  Lake  Village    

Saratoga  Springs    

Saugerties  Town  

Schenectady    

Schodack  Town    

Schoharie  Village  

Scotia  Village  

Seneca  Falls  Village  

Shelter  Island  Town    

Sherrill  

Sidney  Village   

Solvay  Village   

Southampton  Village  

South  Glens  Falls  Village  

South  Nyack-Grandview   

Spring  Valley  Village    

Stony  Point  Town    

Syracuse    

Tonawanda    

Tonawanda  Town   

Trumansburg  Village  

Tuckahoe  Village  

Tupper  Lake  Village   

Tuxedo  Park  Village   

Vernon  Village    

Vestal  Town  

Wallkill  Town   

Walton  Village    

Wappingers  Falls  Village    

Warwick  Town   

Warwick  Village  

WashingtonviUe  Village  

Waterford  Town  and  Village 

Waterloo  Village    

Watertown   

Watervliet    

Watkins  Glen  Village  

Waverly  Village    

Wayland  Village  

Webb  Town    

Webster  Town  and  Village   .. 

WellsviUe  Village  

Westfield  Village    

Westhampton  Beach  Village  . 

Wheatland  Town   

Whitehall  Village  

White  Plains    

Whitesboro  Village  

Woodbury  Town    

Woodridge  Village    

Woodstock  Town    

Yonkers  

Yorktown   

Yorkville  Village    


NORTH  CAROLINA 


Aberdeen    

Ahoskie   

Albemarle  

Andrews    

Angler    

Apex   

Archdale   

Arlington    

Asheboro    

Asheville  

Atlantic  Beach 
Aulander  


41 

36 

23 

22 

17 

14 

3 

3 

13 

13 

21 

21 

15 

14 

67 

61 

18 

14 

188 

148 

8 

7 

15 

14 

16 

12 

9 

7 

4 

4 

8 

8 

16 

12 

37 

25 

6 

6 

6 

6 

57 

52 

28 

28 

518 

426 

37 

32 

150 

106 

27 

24 

13 

12 

10 

5 

3 

1 

40 

32 

21 

17 

7 

6 

8 

5 

13 

11 

14 

12 

9 

8 

11 

9 

8 

7 

85 

71 

24 

24 

4 

4 

15 

14 

4 

4 

40 

29 

14 

II 

5 

5 

17 

15 

4 

4 

4 

4 

246 

201 

6 

6 

16 

13 

10 

10 

618 

529 

56 

50 

2 

2 

20 
17 
45 

5 
12 
20 
18 

1 
44 
176 
28 

2 


40 


8 

4 

14 

6 

13 
1 

5 

38 

6 

38 

38 

23 

5 

7 

332 


Table  78. — Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1991 — Continued 


City 


Tolal 

police 

employees 


Total 
officers 


Total 
civilians 


Citv 


Total 

police 

employees 


Total 
officers 


NORTH  CAROLINA— Continued 

Aurora   

Ayden  

Bailey  

Banner  Elk   

Battleboro    

Beaufort    

Beech  Mountain  

Belhaven  

Belmont    

Benson  

Bessemer  City  

Bethel  

Beulaville 

Biscoe  

Black  Creek    

Black  Mountain   

Bladenboro    

Blowing  Rock    

Boiling  Springs   

Boiling  Spring  Lake  

Boone  

Brevard    

Broadway  

Brookford  

Bryson  City    

Bunn  

Burgaw    

Burlington    

Butner    

Candor    

Canton  

Cape  Carteret    

Carolina  Beach   

Carrboro  

Cary    

Catawba    

Chadbourn  

Chapel  Hill  

Charlotte    

Cherryville  

China  Grove    

Claremont    

Clayton    

Clinton    

Clyde    

Coats    

Concord    

Conover    

Conway  

Cooleemee  

Cornelius    

Cramerton   

Creedmoor  

Dallas  

Davidson    

Denton    

Dobson    

Drexel 

Dunn    

Durham  

East  Spencer    

Eden   

Edenton  

Elizabeth  City   

Elizabethtown    

Elkm   

Elk  Park   

Ellerbe   

Elm  City    

Elon  College  

Emerald  Isle  

Enfield  

Erwin    

Fair  Bluff  

Fairmont    


I 
16 
4 
5 
3 

14 
13 
II 
27 
17 
15 
5 
6 
6 
2 

18 

5 

12 

3 

4 

37 

20 

3 

1 

5 

3 

6 

120 

42 

4 

17 

5 

19 

25 

72 

3 

2 

93 

.048 

17 

5 

4 

22 

34 

3 

5 

79 

17 

I 

3 

12 

8 

12 

12 

12 

6 

4 

5 

36 

378 

5 

47 

17 

41 

13 

19 

1 

3 
4 
10 
17 
14 
13 
4 
13 


I 
II 

4 
5 
3 

14 

9 

9 

21 

13 

II 

5 

4 

6 

2 

14 

5 

7 

3 

4 

31 

18 

3 

I 

5 

3 

6 

94 

36 

4 

14 

5 

19 

23 

56 

2 

2 

77 

838 

14 

5 

4 

16 

26 

3 

5 

65 

16 

1 

3 

12 

8 

9 

9 

8 

6 

4 

5 

29 

290 

5 

42 

15 

36 

12 

16 

I 

3 

4 

9 

13 

10 

9 

4 

10 


16 

210 

3 


NORTH  CAROLINA— Continued 

Faison    

Farmville    

Fayetteville    

Forest  City    

Foxfire  Village    

Franklinlon   

Fremont    

Fuquay-Varina  

Gamer  

Garysburg    

Gastonia  

Gibson  

Gibsonville   

Goldsboro    

Graham  

Granite  Falls   

Greensboro    

Greenville    

Griffon    

Hamlet  

Havelock    

Hazelwood  

Henderson   

Hendersonville    

Hertford    

Hickory  

Highlands 

High  Point    

Hillsborough  

Holden  Beach    

Holly  Ridge    

Hope  Mills    

Hudson    

Huntersville    

Indian  Beach    

Jacksonville  

Jefferson  

Jonesville   

Kannapolis    

Kenansville   

Kenly   

Kemersville  

Kill  Devil  Hills    

King    

Kings  Mountain  

Kinslon   

Kitty  Hawk  

Knightdale  

La  Grange  

Lake  Lure    

Lake  Waccamaw    

Landis    

Laurel  Park  

Laurinburg  

Lenoir    

Lewiston   

Lexington   

Liberty  

Lillington    

Lincolnton   

Locust    

Long  Beach  

Longview    

Louisburg  

Lowell    

Lucama  

Lumberton  

Macclesfield    

Madison    

Maggie  Valley   

Magnolia    

Maiden    

Manteo    

Marion  

Mars  Hill   


2 

20 

288 

21 

2 

9 

3 

17 

32 

3 

206 

1 

13 

108 

23 

12 

536 

142 

5 

20 

30 

5 

55 

46 

6 

103 

9 

185 

15 

6 

3 

21 

11 

9 

4 

107 

3 

3 

78 

3 

6 

44 

24 

II 

30 

86 

15 


2  . 
16 
216 
21  , 

2  . 
8 

3  . 
12 
29 

3 
167 

1 
10 
85 
21 
II 
414 
113 

5  , 
15 
23 

5 
49 
34 

6 
80 

9 

167 

14 

6 

3 

14 
10 

8 

4  , 
86 

3 

3  . 
69 

3  , 

6 
36 
19 
10 
23 
71 
13 


6 

1 

4 

4  , 
25 
46 

1 
59 

7 

g 
20 

3 

13 
12 
10 

7 

3 
55 

1 
13 

3 

I 
10 

5 
18 

4 


333 


Table  78. — Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1991 — Continued 


City 


Total 

police 

employees 


Total 
officers 


Total 

civilians 


City 


Total 

police 

employees 


Total 
officers 


NORTH  CAROLINA— Continued 


NORTH  CAROLINA— Conrtnued 


Matthews    

Maxton   

Mayodan    

McAdenville  

Mebane   

Micro   

Middlesex  

Mocksville  

Monroe   

Montreal  

Mooresville   

Morehead  City    

Morganton  

Morrisville  

Morven   

Mount  Airy    

Mount  Holly    

Mount  Olive    

Murfreesboro   

Murphy   

Nags  Head    

Nashville    

New  Bern    

Newland   

Newport    

Newton   

Newton  Grove    

North  Topsail  Beach 
North  Wilkesboro  ... 
Norwood    


Oakboro   

Oak  City    

Old  Fort  

Oriental  

Oxford  

Pembroke  

Pikeville   

Pilot  Mountain  ... 

PineblufT 

Pinehurst    

Pine  Knoll  Shores 

Pine  Level  

Pinetops   

Pineville   

Pink  Hill   

Pittsboro  

Plymouth    

Princeton    

Raeford  

Raleigh    

Ramseur  

Randleman    

Ranio   

Red  Springs    

Reidsville  

Rhodhiss  

Richlands  

Rich  Square   

River  Bend   

Roanoke  Rapids  . . 

Robbins  

Robersonville  ... .. 

Rockmgham    

Rocky  Mount    

Rolesville   

Roseboro    

Rose  Hill   

Rowland   

Roxboro    

Rutherfordton    

St.  Pauls  

Salemburg   

Salisbury  

Saluda    

Sanford    


28 

II 

14 

4 

12 

1 

3 

12 

78 

5 

27 

23 

90 

10 

1 

38 

24 

16 

13 

8 

19 

9 

66 

5 

4 

39 

2 

6 

20 

5 

3 

1 

4 

1 

34 

12 

2 

9 

1 

18 

7 

2 

7 

12 

1 

6 

14 

3 

15 

494 

6 

7 

6 

15 

48 

1 

3 

2 

4 

38 

6 

7 

28 

158 

5 

4 

4 

8 

31 

10 

12 

1 

82 

2 

70 


21 
7 

10 
4 
9 
1 
3 

11 

68 
5 

22 

17 

70 
8 
1 

32 

19 

11 
9 
7 

16 
8 

54 
5 
4 

29 
2 
6 

17 
5 
3 
1 

4 
1 

28 
8 
2 
8 
1 

14 
7 
2 
4 

12 
1 
6 

10 
3 

14 
443 
6 
7 
6 

12 

39 
1 
3 
2 
4 

29 
6 
7 

23 
120 
4 
4 
4 
4 

25 

10 
8 
I 

63 
2 

57 


10 


Scotland  Neck  

Seaboard  

Seagrove   

Selma   

Shallotte   

Shelby    

Siler  City   

Smithfield    

Snow  Hill    

Southern  Pines    

Southern  Shores  ... 

Southport   

Sparta  

Spencer   

Spindale    

Spring  Hope  

Spring  Lake    

Spruce  Pine    

Stanley  

Stantonsburg  

Stoneville   

Sugar  Mountain   . . . 

Surf  City    

Swansboro   

Sylva  

Tarboro  

Taylortown    

Taylorsville   

Thomasville    

Topsail  Beach   

Trent  Woods   

Troutman  

Troy    

Tryon   

Valdese   

Vanceboro  

Vass    

Wadesboro  

Wake  Forest  

Wallace   

Walnut  Cove   

Warrenton    

Warsaw   

Washington  

Waynesville  

Weaverville  

Weldon    

Wendell  

West  Jefferson  

Whispering  Pines  .. 

White  Lake  

Whiteville    

Wilkesboro    

Williamston 

Wilmington 

Wilson   

Windsor    

Winfall  

Winslon-Salem    

Winterville  

Winton    

Woodfin    

Woodland    

Wrightsville  Beach 

Yadkinville   

Zebulon  


NORTH  DAKOTA 


Beulah  .... 
Bismarck  .. 
Bowman  . . 
Carrington 
Cavalier  ... 
Crosby  


13 

7 

1 

1 
20 

1 
15 

7 

7 

62 

50 

16 

14 

32 

26 

32 

27 

8 

8 

12 

8 

5 

5 

6 

6 

II 

11 

5 

5 

22 

14 

11 

11 

12 

9 

3 

3 

2 

2 

5 

5 

8 

7 

4 

4 

8 

8 

34 

26 

8 

8 

56 

50 

5 

5 

3 

3 

3 

3 

8 

8 

9 

6 

13 

12 

3 

3 

22 

17 

18 

13 

14 

12 

4 

4 

4 

4 

13 

10 

29 

26 

24 

23 

7 

6 

11 

7 

13 

9 

5 

5 

6 

6 

4 

4 

26 

20 

16 

15 

16 

15 

179 

147 

97 

82 

6 

6 

510 

392 

6 

6 

7 

7 

2 

1 

25 

19 

6 

6 

14 

13 

334 


Table  78. — Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1991 — Continued 


Cily 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


NORTH  DAKOTA— Continued 


Devils  Lake    . 
Dickinson  — 

Elgin   

Emerado  

Fargo    — ; . . . 

Grafton   

Grand  Forks 

Gwinner    

Harvey  ... — 

Hazen  

Hillsboro  

lamestown  ... 

Lanmore  

Linton    

Lisbon   

Mandan  

Vlayville   

Vlinot   

Sapoleon    

Sew  Rockford 
Sorthwood    . . 

Dakes  

farshall  

*ugby  

5outh  Heart    . 

Steele   

Thompson   . . . 
Valley  City   .. 

Wahpeton  

Watford  City 
West  Fargo  . . 

Williston  

Wishek 


Ada 

Akron  

Alliance  

Amberley   

Amherst 

Archbold  

Arlington  Heights    ... 

Ashland  

Ashtabula  

Athens  

Aurora   

Avon  Lake    

Bainbridge  Township 

Barberton   

Bath  Township  

Bay  Village  

Bazetta  Township   ... 

Beavercreek  

Beaver  Township  

Bedford   

Bedford  Heights  

Bellaire    

Bellbrook    

Bellevue    

Bellville  

Belpre  

Berea    

Bexley    

Blanchester   

Blue  Ash    

Boardman  Township 

Bowling  Green    

Bradford   

Brady  Lake  

Brecksville  

Brewster    

Briarwood  Beach   

Bridgeport    

Broadview  Heights   . , 


OHIO— Continued 


15 

35 

I 

1 

108 

13 

89 
1 
3 
4 
2 

32 
2 
I 
2 

32 
3 

69 
I 
3 
2 
2 
1 

4 
1 
1 
1 

15 

18 
3 

20 

24 


11 
491 
52 
17 
19 
7 
7 
37 
40 
35 
21 
23 
18 
49 
21 
25 
8 
44 
10 
34 
45 
13 
II 
17 
2 

13 

38 

32 

9 

42 

59 

41 

3 

1 

28 

4 

5 

8 

27 


8 

429 

40 

15 

14 

7 

6 

28 

34 

23 

16 

22 

13 

42 

17 

23 

7 

34 

6 

27 

31 

13 

7 

14 

2 

8 

29 

24 

5 

34 

48 

30 

3 

1 

24 

4 

4 

5 

23 


Brookfield  Township  .. 

Brooklyn  Heights  

Brook  Park   

Brookville    

Bryan    

Bucyrus  

Cadiz    

Cambridge  

Canal  Fulton    

Canfield    

Canton  

Carey    

Carlisle    

Celina  

Centerville   

Chagrin  Falls  

Chardon    

Chillicothe  

Cincinnati    

Circleville  

Clear  Creek  Township 

Cleveland   

Clinton  Township  

Clyde    

College  Comer   

Columbiana    

Columbus  

Conneaut    

Copley    

Cortland   

Covington    

Crestline  

Cuyahoga  Falls  

Dalton    

Dayton  

Deer  Park    

Defiance   

Delaware    

Delhi  Township   

Delta  

Dennison   

Dover  

Dublin   

East  Canton    

East  Cleveland    

Eastlake  

East  Palestine    

Eaton   

Elmwood  Place  

Elyria    

Englewood   

Euclid  

Evendale  

Fairbom    

Fairfax  

Fairfield    

Fairfield  Township  

Fairlawn 

Fairport  Harbor  

Fairview  Park    

Fayette  

Forest  Park  

Fort  Shawnee  

Franklin    

Fremont    

Gahanna  

Gallipolis    

Garfield  Heights    

Gates  Mills  

Geneva    

Geneva-on-the-Lake   . . . 

Germantown  

German  Township    

Gibsonburg   

Girard    


11 

8 

13 

13 

45 

35 

13 

9 

21 

16 

24 

19 

6 

6 

31 

25 

9 

6 

15 

10 

164 

158 

10 

7 

7 

6 

18 

14 

36 

29 

19 

12 

13 

8 

54 

47 

1.189 

964 

32 

23 

7 

6 

2,044 

1,682 

14 

8 

15 

11 

13 

9 

1,741 

1,403 

25 

19 

16 

14 

6 

6 

6 

5 

14 

9 

90 

75 

2 

2 

562 

457 

10 

9 

29 

23 

38 

29 

25 

22 

5 

5 

4 

4 

22 

19 

49 

39 

2 

2 

84 

67 

38 

30 

9 

6 

16 

10 

7 

7 

86 

74 

21 

16 

165 

99 

18 

17 

54 

41 

9 

9 

56 

43 

5 

5 

22 

16 

6 

6 

31 

29 

3 

3 

38 

31 

4 

4 

22 

17 

36 

31 

43 

38 

19 

15 

71 

56 

IS 

12 

13 

10 

5 

4 

11 

7 

5 

5 

4 

4 

23 

19 

335 


Table  78. — Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1991 — Continued 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


OHIO— Continued 


OHIO— Continued 


Glendale  

Golf  Manor    

Goshen  Township  

Granville    

Greenfield    

Greenville    

Grove  City    

Hamilton    

Harrison    

Harlville   

Hicksville  

Hilliard    

Hinckley  Township    

Hubbard   

Huber  Heights  

Hudson   

Hunting  Valley   

Huron    

Independence  

Indian  Hill    

Jackson  Township  

Jefferson   

Johnstown   

Kent    

Kettering    

Kirtland  Hills    

Lakemore   

Lake  Township  

Lakewood  

Lancaster    

Lawrence  Township  

Lebanon 

Leipsic   

Lexington  

Liberty  Township   

Lima  

Logan   

London   

Lorain    

Lordstown    

Loudonville  

Louisville   

Loveland  

Lyndhurst  

Madeira  

Madison  Township  (Lake  County)   

Madison  Township  (Montgomery  County) 

Mansfield   

Maple  Heights  

Mariemonl  

Marietta    

Marion  

Marlboro  Township  

Marysville    

Mason    

Massillon    

Maumee    

Mayfield   

Mayfield  Heights  

McConnelsville   

Mentor  

Mentor-on-the-Lake    

Miamisburg 

Miami  Township  

Middleburg  Heights   

Middlefield   

Middletown  

Milford    

Minerva    

Minerva  Park    

Mingo  Junction    

Mogadore  

Monroe   

Montgomery  

Montpelier  


7 

9 

6 
12 
12 
30 
44 
123 
20 

4 

7 
45 

7 

15 
38 
14 
12 
14 
37 
24 
31 

6 

8 

52 

104 

17 

5 

12 

102 

84 

5 
27 

2 
10 
24 
98 
18 
12 
94 
14 
11 
14 
13 
37 
13 
16 
23 
142 
56 
10 
33 
59 

3 
17 
17 
52 
51 
20 
42 

6 
89 
24 
42 
30 
37 

8 

116 

15 

12 

2 
12 

7 

5 
18 

7 


7 

5 

5 

9 

10 

22 

33 

105 

17 

4 

6 

31 

7 

12 

35 

9 

11 

10 

29 

19 

26 

5 

4 

39 

80 

15 

4 

II 

80 

60 

5 

20 

2 

6 

19 

77 

13 

12 

79 

8 

7 

II 

12 

29 

12 

14 

17 

84 

43 

9 

26 

47 

3 

12 

16 

49 

40 

15 

33 

4 

63 

16 

33 

28 

31 

7 

82 

12 

8 

2 

10 

7 

1 

17 

7 


Moraine    

Mount  Sterling   

Munroe  Falls   

Napoleon   

Navarre  

New  Boston    

Newcomerslown   

New  Lebanon    

New  Lexington   

New  Philadelphia    

Newtown    

Niles   

North  Canton    

North  Kingsville    

North  Olmsted   

North  Ridgeville    

North  Royalton    

Northwood    

Norton  

Norwalk    

Norwood    

Oak  Harbor    

Oakwood    

Oberlin    

Olmsted  Falls    

Ontario    

Oregon  

Orrville    

Ottawa  

Ottawa  Hills  

Parma    

Pepper  Pike    

Perkins  Township   

Perrysburg   

Perry  Township  (Stark  County) 

Pierce  Township    

Piqua    

Port  Clinton  

Portsmouth    

Randolph  Township    

Reading  

Reynoldsburg  

Richfield  

Richmond  Heights    

Rittman  

Riverside    

Rossford   

St.  Marys  

Salem    

Salineville    

Sandusky 

Seaman    

Sebring    

Seven  Hills   

Seville    

Shadyside  

Shaker  Heights    

Sharonville    

Sheffield  Lake  

Shelby    

Silverton   

Solon    

South  Euclid    

South  Russell  

Spencerville  

Springboro  

Springdale    

Springfield   

Springfield  Township    

Steubenville    

Stow    

St reelsboro    

Strongsville    

Sunbury 

Swanton    


34 
8 
8 
19 
4 
12 
11 
8 

10 

24 

5 

37 

26 

4 

60 

32 

39 

20 

17 

27 

48 

5 

35 

22 

14 

17 

53 

20 

7 

17 

120 

19 

13 

25 

22 

13 

31 

17 

44 

11 

23 

48 

15 

26 

II 

4 

13 

16 

20 

2 

54 

2 

9 

16 

6 

7 

96 

42 

12 

19 

12 

49 

45 

7 

4 

15 

38 

135 

43 

52 

41 

18 

54 

5 

4 


17 

6 

5 

7 

1 

6 

4 

19 

5 

5 

31 

6 

20 

6 

4 

48 

12 

25 

7 

28 

11 

16 

4 

12 

5 

22 

5 

48 

4 

1 

29 

6 

18 

4 

9 

5 

13 

4 

43 

10 

15 

5 

7 

11 

6 

96 

24 

15 

4 

9 

4 

19 

6 

17 

5 

12 

1 

28 

3 

12 

5 

41 

3 

10 

1 

19 

4 

36 

12 

10 

5 

19 

7 

8 

3 

4 

12 

1 

12 

4 

19 

1 

•) 

46 

8 

■> 

6 

3 

15 

1 

5 

1 

4 

3 

66 

30 

31 

11 

9 

3 

15 

4 

10 

2 

39 

10 

38 

7 

7 

-4 

10 

5 

32 

6 

104 

31 

30 

13 

43 

9 

28 

13 

12 

6 

47 

7 

5 

4 

336 


Table  78. — Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1991 — Continued 


City 


Tolal 

police 

employees 


Total 
ofTicers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


OHIO — Continued 


OKLAHOMA— Continued 


Sylvania 

Sylvania  Township  

Tallmadge    

TilTin    

Tipp  City 

Toledo  

Toronto  

Trenton  

Trotwood   

Troy    

Un iontown    

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

University  Heights    

Upper  Arlington    

Upper  Sandusky  

Urbana    

Valley  View    

Vandalia  

Van  Wert  

Vermilion  

Village  of  Highland  Hills  

Wadsworth    

Waite  Hill   

Walbridge  

Walton  Hills  

Wapakoneta    

Warren    

Warrensville  Heights  

Washington  Court  House  

Waterville    

Wauseon  

Waverly  

Waynesville  

Wellington   

Wellston    

Wellsville   

West  Carrollton    

Westerville  

West  Jefferson  

Westlake   

Whitehall   

Wickliffe  

Willard    

Willoughby    

Willoughby  Hills    

Wilmington  

Windham   

Woodlawn   

Woodsfield    

Woodville  

Woosler  

Worthington   

Wyoming    

Xenia    

Yellow  Springs    

Youngstown    

Zanesville  


OKLAHOMA 


Ada   

Altus  

Alva    

Anadarko   . 

Antlers  

Apache 

Ardmore   .. 
Arkoma   ... 

Atoka   

Bamsdall    . 
Bartlesville 

Beggs    

Bethany  ... 
Bixby    


33 
27 
32 
40 
16 
715 
20 
11 
26 
37 

6 
45 
37 
38 
60 
10 
21 
15 
37 
27 
23 

6 
28 

5 

8 
14 
18 
89 
41 
22 
II 
12 
15 

2 

6 

9 

6 

32 

63 

II 

42 

47 

35 

16 

46 

26 

18 

5 

15 

5 

4 

42 

38 

17 

57 

12 

204 

72 


27 
20 
22 
28 
12 
668 
10 

7 
24 
35 

5 
34 
27 
30 
51 

8 
17 
13 
28 
21 
18 

5 
22 

5 

4 
10 
14 
67 
37 
16 
10 
10 


4 

9 

6 

25 

52 

8 

37 

38 

30 

13 

35 

17 

17 

4 

14 

5 

3 

36 

31 

13 

39 

8 

177 

56 


Blackwell    

Blanchard  

Bristow    

Broken  Arrow 
Broken  Bow   .. 

Bums  Flat   

Carnegie    

Catoosa  

Chandler  

Checotah    

Chelsea    

Cherokee    

Chickasha  

Choctaw    

Chouteau    

Claremore    

Clayton    

Cleveland  

Clinton    

Coalgate    

Collinsville    ... 

Comanche    

Commerce   

Cordell  

Coweta    

Coyle    

Crescent    

Cushing  

Davis    

Del  City    

Dewey    

Drumright   

Duncan    

Durant  

Edmond    

Elk  Ciiy    

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  

Inola   

Jay  

Jenks  

Jones  

Kingfisher    

Kingston   

Konawa  


19 

9 

IS 

97 

15 

2 

4 

16 

12 

12 

3 

7 

43 

15 

6 

45 

5 

8 

29 

6 

10 

4 

3 

7 

12 

1 

7 

23 

15 

46 

9 

4 

50 

33 

91 

28 

7 

28 

108 

2 

II 

9 

9 

3 

5 

17 

7 

14 

2 

3 

3 

18 

27 

17 

6 

5 

6 

7 

10 

9 

15 

14 

12 

14 

8 

17 

5 

22 

4 

10 

16 

4 

8 

5 

9 


14 
5 

12 
72 
10 

2  . 
3 

12 
8 
8 

3  . 
3 

33 
13 

4 
29 

4 

8  . 
21 

5 

6 

4  . 

3  . 
7  . 
8 

4 
16 
12 
34 

8 

4  . 
44 
27 
78 
18 

3 
23 
83 

2  . 

7 

4 

5 

2 

5  . 
11 

3 
9 

2  . 

3  . 

3  . 
12 
22 
12 

6  . 

5  . 

6  . 
3 
6 
4 

10 

8 

7 

6 

4 
13 

4 
16 

2 

5 
12 

4  , 
6 

5  , 
3 


337 


Table  78.— Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1991 — Continued 


City 


OKLAHOMA— Continued 


Krebs    

Laveme  

Lawton    

Lexington  

Lindsay   

Locust  Grove  .. 
Lone  Grove    . . . 

Luther   

Madill    

Mangum   

Mannford  

Marietta    

Marlow   

Maud    

Maysville   

McAlester  

McLoud    

Meeker    

Miami    

Midwest  City  .. 

Minco  

Moore    

Mooreiand  

Morns    

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    

Perry  

Piedmont    

Pocola    

Ponca  City    

Porum    

Poteau   

Prague   

Pryor    

Purcell    

Ringling    

Roland  

Rush  Springs  .. 

Sallisaw  

Sand  Springs    . . 

Sapulpa   

Sayre  

Seminole  

Shattuck   

Shawnee   

Skiatook   

Snyder   

Spencer  

Spiro  

Sligler  

Stillwater    

Stilwell  

Stratford   

Stroud    

Sulphur    

Tahlequah    


Total 

police 

employees 


4 

10 

181 

10 

II 

7 

4 

4 

9 

10 

9 

6 

10 

3 

5 

49 

7 

4 

35 

114 

2 

57 

2 

3 

13 

100 

21 

II 

5 

18 

4 

14 

136 

8 

2 

6 

10 

,215 

34 

4 

25 

22 

14 

5 

4 

17 

7 

10 

61 

2 

20 

12 

25 

21 

4 

II 

3 

18 

41 

45 

9 

18 

7 

69 

13 

3 

9 

5 

II 

74 

17 

3 

13 


Total 
officers 


'3 
36 1 


4 

2 

141 

6 

7 

3 

4 

4 

9 

6 

5 

6 

10 

3 

4 

39 

3 

4 

28 

86 

2 

45 

2 

3 

6 

78 

15 

7 

5 

13 
4 
10 
107 
6 
2 
2 

10 

897 

27 

4 

18 

15 

7 

5 

4 

13 

5 

6 

55 

2 

15 

12 

18 

17 

3 

7 

3 

15 

30 

36 

6 

13 

2 

49 

9 

3 

8 

5 

7 

52 

12 

3 

8 

8 

24 


Total 
civilians 


318 

7 


City 


OKLAHOMA— Continued 


Talihina  — 
Tecumseh  . . . 
Tishomingo  . 

Tonkawa  

Tulsa  

Tuttle   

Valliant   

Vian    

Village    

Vinita  

Wagoner  

Walters    

Warner    

Warr  Acres   . 

Watonga   

Waukomis   . . 

Waurika    

Waynoka  . . . 
Weatherford 

Weleetka  

Westville  .... 
Wetumka   ... 

Wewoka    

Wilburton  ... 
Woodward  .. 
Wright  City 
Wynnewood 

Yale  

Yukon    


Albany  

Amity  

Ashland  

Astoria  

Athena  

Aumsville  

Aurora   

Baker    

Bandon    

Beaverton  

Bend   

Boardman    

Brookings  

Bums    

Canby  

Cannon  Beach 
Canyonville  ... 

Carlton    

Central  Point  . 

Clatskanie    

Coburg  

Coos  Bay   

Coquille    

Cornelius    

Corvallis   

Cottage  Grove 

Creswell    

Culver    

Dallas  

Dundee   

Eagle  Point   ... 

Elgin    

Enterprise  

Eugene  

Florence    

Forest  Grove   . 

Garibaldi    

Gaston  

Gearhart   

Gervais    

Gladstone  

Gold  Beach  ... 
Grants  Pass    .. 


OREGON 


Total 

police 

employees 


7 

4 

16 

II 

12 

8 

II 

7 

917 

735 

8 

5 

g 

4 

4 

4 

29 

24 

18 

12 

16 

12 

4 

4 

2 

2 

27 

20 

10 

7 

2 

2 

6 

2 

4 

3 

27 

17 

11 

5 

10 

5 

5 

5 

13 

9 

7 

5 

27 

19 

3 

3 

10 

6 

7 

3 

34 

25 

Toial 

officers 


53 

41 

2 

32 

23 

24 

17 

5 

15 

,, 

8 

86 

65 

48 

36 

2 

18 

II 

8 

19 

14 

7 

3 

17 

12 

6 

2 

40 

29 

10 

8 

12 

10 

73 

48 

22 

15 

4 

4 

16 

14 

5 

4 

6 

5 

4 

2 

4 

-4 

282 

147 

16 

10 

28 

19 

2 

2 

2 

2 

18 

12 

6 

5 

41 

27 

338 


Table  78.— Number  of  Full-time  Law  Enforcement  Employees,  Cities.  October  31,  1991 — Continued 


City 


Total 

police 

employees 


Total 
officei^ 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


OREGON— Continued 


OREGON— Continued 


Gresham  

Heppner   

Hermiston    

Hillsboro 

Hmes    

Hood  River    

Hubbard   

Independence  

Jacksonville  

Jefferson   

John  Day  

Junction  City  

Keizer    

Kmg  City  

Klamath  Falls    ... 

La  Grande  

Lake  Oswego   

Lakeview    

Lebanon    

Lmcoln  City  

Madras    

McMmnville  

Medford    

Milton-Freewaler 

Milwaukie    

Molalla    

Monmouth  

Mount  Angel    — 

Mynle  Creek   

Mynle  Point    .... 

Newberg    

Newport    

North  Bend    

North  Flams    .... 

Nyssa    

Oakland    

Oakridge  

Ontario    

Oregon  City   

Philomath    

Phoenix  

Pilot  Rock  

Portland    

Powers  

Prairie  City  

Prmeville    

Ramier    

Redmond   

Reedsport  

Rockaway  

Rogue  River  

Roseburg    

Si.  Helens    

Salem   

Sandy   

Scappoose    

Seaside  

Shady  Cove    

Sherwood   

Silverton  

Sisters  

Springfield  

Stanfield   

Stayton    

Sutherlin  

Sweet  Home  

Talent  

The  Dalles  

Tigard    

Tillamook  

Toledo   

Troutdale  

Tualatin    

Turner   

Umatilla   


114 

3 
20 
54 

2 
12 

4 
10 

3 


102 
13 

33 

9 

10 

4 

14 

7 

29 

23 

22 

2 

5 

2 

II 

24 

28 

7 

7 

2 

1,028 

2 

2 

20 

6 

20 

16 

3 

5 

36 

19 

218 


5 
16 

23 
6 
5 
2 
829 
2 

2 
13 

5 

15 
II 

3 

5 

31 

16 

140 

7 

6 
17 

2 

5 
10 

3 
53 

3 
10 

8 
13 

4 
16 
41 

9 

8 
12 
23 

2 

6 


27 


199 


Union  

Vale  

Veneta   

Vemonia  .. 
Waldport    . 
Warrenton 
West  Linn 
Weston    . . . 
Willamina 
Winston 
Woodbum 
Yamhill  ... 


PENNSYLVANIA 


Abington  Township    

Adams  Township  

Akron  

Albion    

Alburtis  

Aldan    

Aleppo  Township    

Aliquippa 

Allegheny  Township  (Blair  County)   

Allegheny  Township  (Westmoreland  County) 

Allentown  

Altoona   

Ambler    

Ambridge  

Amity  Township    

Annville  Township   

Archbald  

Armagh  Township    

Arnold    

Ashland  

Ashley    

Aspinwall   

Aston  Township  

Athens   

Athens  Township  

Auburn    

Avalon  

Avoca  

Baden  

Baldwin  Borough  

Baldwin  Township    

Bally    

Bangor  

Bamesboro    

Barrett  Township    

Bath    

Beaver   

Beaver  Falls   

Bedford   

Bedminster  Township  

Belle  Acres    

Bellefonte  

Bellevue    

Bellwood  

Bensalem  Township  

Bentleyville   

Benton   

Benzinger  Township    

Berlin   

Berwick   

Bethel  Park  

Bethel  Township    

Bethlehem    

Bethlehem  Township  

Big  Beaver  

Birdsboro   

Birmingham  Township  

Blair    

Blairsville  

Blakely  


107 

3 

4 

2 

2 

3 

5 

19 

5 

6 

219 

88 

13 

10 

5 

4 

5 

I 

11 

6 

3 

7 

18 

5 

7 

1 

9 

2 

4 

26 

5 

1 

6 

2 

5 

3 

12 

18 

7 

5 

1 

12 

16 

1 

88 

2 

2 

7 

3 

16 

42 

2 

150 

20 

3 

6 

2 

3 

5 

6 


2 

4  , 

6 

4 

3 

5 
18 

1 

3 

7 
20 

1 


88 

3  . 

4  . 
2  . 

2  . 

3  . 

5  . 
19  . 

5  . 

5 

196 

69 

12 

10  . 

5  . 

4  . 

5  . 

1  , 
10 

6  . 

3  , 
6 

16 
5  , 
6 
1 
8 

2  , 

4  , 
21 

5 

1 

6 

2 

5 

3 

8 
18 

6 

5 

1 

9 
13 

1 
70 

2 

2 

6 

2 
12 
34 

2 

128 

19 

3 

6 

2 

3 

5 

6 


339 


Table  78. — Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1991 — Continued 


City 


Total 

police 

etnployees 


Total 
officers 


Total 

civilians 


City 


Total 

police 

employees 


Total 
officers 


PENNSYLVANIA— Continued 

Blawnox    

Bloomsburg  Town  

Blossburg 

Boyertown    

Brackenridge  

Braddock    

Braddock  Hills    

Bradford  

Bradford  Township    

Brecknock  Township  

Brentwood   

Briar  Creek  Township    

Bridgeport    

Bridgeville   

Bridgewaler  

Brighton  Township  

Bristol    

Bristol  Township  

Brockway    

Brookhaven  

Brookville    

Brownsville    

Bryn  Athyn  

Buckingham  Township  

Burgettstown  

Bumham  

Butler  

Butler  Township  (Butler  County)    

Butler  Township  (Luzerne  County)    

Butler  Township  (Schuylkill  County)  

Caernarvon  Township  (Berks  County)    . . . 
Caernarvon  Township  (Lancaster  County) 

California   

Cain  Township  

Cambridge  Springs  

Camp  Hill   

Canonsburg  

Canton  

Carlisle    

Carnegie   

Carroll  Township  (Washington  County)    . 

Carroll  Township  (York  County)  

Carroll  Valley    

Carrolltown   

Castle  Shannon  

Catasauqua    

Catawissa   

Cecil  Township    

Center  Township  

Centerville  

Central  City   

Chalfont    

Chambersburg   

Charleroi    

Chartiers  Township   

Cheltenham  Township    

Chester    

Chester  Township   

Cheswick    

Chippewa  Township    

Christiana    

Churchill  

Clark  

Clarks  Summit   

Clearfield    

Cleona   

Clifton  Heights  

Clinton  Township  

Coaldale    

Coatesville  

Cochranton   

Colebrookdale  Township  

Collegcville    

Collier  Township  

Collingdalc    


4 

15 
3 
6 
4 

12 
3 

21 
6 
2 

15 
2 

16 
9 
2 
4 

13 

84 
2 

10 
9 

10 
5 

15 
2 
1 

25 

22 
4 
3 
4 
1 
9 

14 
2 
8 

17 
2 

39 

17 
4 
5 
2 
1 

II 
9 
3 

10 
9 
4 
2 
3 

28 

11 
6 

90 
125 
7 
3 
8 
1 

9 
1 
7 
7 
2 

12 
2 
3 

29 
2 
6 
6 
8 

13 


4 

12 

3 

3 

6 

4 

8 

4 

3 

19 

2 

5 

1 

■> 

11 

4 

■> 

15 

1 

8 

1 

■> 

4 

12 

1 

66 

18 

■> 

9 

1 

7 

2 

6 

4 

5 

14 

1 

7 

1 

24 

1 

20 

2 

4 

3 

4 

1 

6 

3 

12 

2 

? 

8 

15 

2 

? 

30 

9 

12 

5 

4 

"i 

7 

1 

10 

1 

8 

1 

3 

10 

9 

4 

■> 

3 

25 

3 

10 

1 

A 

80 

10 

105 

20 

7 

3 

7 
1 

1 

9 

1 

6 

1 

7 

7 

10 

2 

7 

3 

22 

7 

■) 

6 

6 

8 

12 

1 

PENNSYLVANIA— Continued 


Columbia   

Colwyn 

Conemaugh  Township  (Cambria  County)  . . 
Conemaugh  Township  (Somerset  County)   . 

Conestoga  Township    

Conewago  Township   

Conewango  Township  

Conyngham  

Conyngham  Township    

Connellsville  

Conshohocken   

Conway   

Coolbaugh  Township  

Coopersburg   

Coplay   

Coraopolis   

Cornwall  

Corry    

Cloudersport  

Covington  Township  

Crafton    

Cranberry  Township    

Crescent  Township  

Cresson    

Cressona  

Cresson  Township  

Cumberland  Township  (Adams  County)   ... 

Cumberland  Township  (Green  County)  

Cumru  Township    

Curwensville  

Dale    

Dallas  

Dallas  Township   

Dalton   

Danville    

Darby  

Darby  Township    

Daugherty  Township  

Denver  

Derry    

Derry  Township  (Dauphin  County)  

Derry  Township  (Mifllin  County)  

Dickson  City    

Donegal  Township    

Donora    

Dormont  

Douglass  Township  (Berks  County)   

Douglass  Township  (Montgomery  County) 

Downingtown  

Doylestown    

Doylestown  Township    

Du  Bois    

Duboistown  

Duncansville  

Dunmore    

Dupont    

Duquesne  

Duryea  

East  Berlin    

East  Bethlehem  Township   

East  Brandywine  Township  

East  Buffalo  Township  

East  Cocalico  Township    

East  Conemaugh    

East  Convemry  Township    

East  Deer  Township    

East  Donegal  Township  

East  Earl  Township   

East  Franklin  Township    

East  Hempfieid  Township   

East  Lampeter  Township    

East  Lansdowne   

East  McKeespon   

East  Norriton  Township   

Easton    


20 

3 
I 
6 
3 
5 
4 
2 

17 

12 

4 

9 

5 

4 

II 

2 

15 

2 

2 

13 

17 

1 

3 

2 

1 

5 

2 

25 

2 

1 

4 

6 

2 

9 

16 

13 

1 

5 

2 

31 

7 

9 

1 

6 

18 

2 

9 

15 

21 

20 

16 

1 

1 

19 

2 

16 

3 

1 

3 

7 

5 

15 

2 

2 

4 

1 

4 

2 

26 

24 

3 

1 

25 

59 


340 


Table  78. — Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1991 — Continued 


Cilv 


Total 

police 

employees 


Total 

ofTicers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
otTicei^ 


Total 
civilians 


PENNSYLVANIA— Continued 

East  Pennsboro  Township   

East  Pikeland  Township   

East  Rockhill  Township    

East  Stroudsburg   

East  Taylor  Township    

Easttown  Township    

East  Vincent  Township   

East  Washington    

East  Whiteland  Township    

Ebensburg 

Economy    

Eddystone    

Edgewood  

Edgeworth    

Edinboro  

Edwardsville  

Elizabeth  

Elizabethtown    

Elizabeth  Township  

Elizabethville   

Ellwood  Ctiy    

Emmaus    

Emporium    

Ephrata    

Ephrata  Township  

Erie   

Etna    

Everett  

Exeter  

Exeter  Township  (Berks  County)  

Exeter  Township  (Luzerne  County)    

Fairview    

Fairview  Township  (Luzerne  County)  

Fairview  Township  (York  County)  

Falls  Township  (Bucks  County)   

Farrell    

Faw  n  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  (Cambria  County)  

Franklin  Park    

Franklin  Township  (Beaver  County)   

Franklin  Township  (Carbon  County)    

Freedom-Greenfield  Township  

Freemansburg    

Freeport    

Gallitzin  Township  

Geistown    

German  Township    

Gettysburg  

Girard    

Glenolden    

Granville  Township  

Greencastle    

Greensburg    

Green  Tree   

Greenville    

Grove  City    

Hallstead    

Hamburg    

Hampden  Township    

Hampton  Township  


16 
5 
1 

14 
2 

14 

4 
2 

15 
5 
7 
6 
8 

14 
9 
8 
1 

15 

14 
1 

15 

19 
2 

20 
6 
225 
6 
4 
6 

20 
2 
I 
3 

14 

61 

15 
2 

12 
2 

18 
5 
9 
4 
2 

10 
8 
5 
6 
7 

II 
5 
8 
I 
6 

I 

4 


15 
5 

1 

13 

2 

13 

4 

2 

13 

5 

6 

5 

7 

5 

8 

8 

I 

13 

14 

1 

II 

15 

2 

18 

6 

191 

4 

3 

4 

19 

2 

1 

3 

13 

50 

14 

2 

10 
2 
12 
5 
9 
4 
2 
9 
7 
5 
5 
7 
II 
5 
7 
I 

6 
I 
4 


PENNSYLVANIA— Continued 


Hanover   

Hanover  Township  

Harmar  Township  

Harmony  Township  

Harrisburg  

Harrison  Township    

Hatboro  

Hatfield  Township    

Haverford  Township   

Hazleton  

Begins  Township  

Heidelberg  

Heidelberg  Township  (Berks  County) 

Hellam  Township    

Hellertown  

Hemlock  Township    

Hempfield  Township  

Hermitage    

Highspire    

Hilltown  Township  

Hollidaysburg  

Homer  City    

Homestead    

Honesdale    

Hooversville   

Hopewell  Township   

Horsham  Township    

Houtzdale  

Hughesville   

Hummelstown   

Huntingdon  

Independence  Township   

Indiana   

Indiana  Township  

Industry    

Ingram   

Irwin 

Jackson  Township  (Butler  County)  ... 

Jackson  Township  (York  County)  

Jeannette    

Jefferson   

Jefferson  Township    

Jenkins  Township   

Jenkintown    

Jermyn  

Jersey  Shore   

Jim  Thorpe  

Johnsonburg  

Johnstown    

Jones  Township   

Kane  

Kennedy  Township    

Kennett  Square  

Kidder  Township    

Kingston   

Kingston  Township    

Kittanning  

Kutztown   

Lake  City  

Lake  Township  

Lancaster   

Lansdale   

Lansdowne    

Lansford   

Larksville   

Latrobe    

Laureldale    

Lawrence  Park  Township  

Lawrence  Township  

Lebanon    

Leechburg    

Leetsdale  

Leel  Township    

Lehighton  

Lehigh  Township  


16 

14 

18 

14 

5 

5 

4 

4 

411 

180 

16 

12 

18 

13 

29 

21 

75 

64 

28 

24 

2 

2 

3 

3 

6 

6 

10 

9 

2 

2 

7 

6 

30 

25 

5 

5 

16 

13 

12 

7 

9 

8 

6 

6 

11 

11 

41 

34 

4 

4 

6 

6 

13 

11 

2 

2 

27 

20 

8 

8 

4 

4 

6 

6 

4 

4 

2 

2 

9 

8 

17 

16 

14 

13 

3 

3 

4 

4 

13 

12 

6 

6 

6 

5 

3 

3 

46 

42 

6 

6 

12 

11 

9 

7 

8 

8 

30 

26 

8 

8 

9 

8 

10 

9 

3 

3 

2 

2 

137 

124 

29 

22 

20 

16 

5 

5 

5 

5 

13 

12 

3 

3 

7 

6 

8 

8 

44 

37 

3 

3 

5 

5 

4 

4 

10 

8 

8 

7 

341 


Table  78. — Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1991 — Continued 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


PENNSYLVANIA— Continued 


Lehman  Township    

Lemoyne  

Lewisburg  

Lewistown    

Ligonier  

Ligonier  Township   

Lilly  

Limerick  Township    

Lincoln    

Lmesville    

Lititz  

Littlestown  

Lock  Haven    

Locust  Township  

Logan  Township    

Loretto  

Lower  Allen  Township  

Lower  Alsace  Township    

Lower  Burrell    

Lower  Chichester  Township   

Lower  Gwynedd  Township   

Lower  Makefield  Township  

Lower  Merion  Township 

Lower  Moreland  Township   

Lower  Mount  Bethel  Township    

Lower  Paxton  Township  

Lower  Pottsgrove  Township   

Lower  Providence  Township    

Lower  Salford  Township  

Lower  Saucon  Township  

Lower  Southampton  Township   

Lower  Swatara  Township  

Lower  Yoder  Township  

Luzerne  Township    

Lykens  

Macungie    

Mahanoy  City   

Mahoning  Township  (Carbon  County)  

Mahoning  Township  (Montour  County)    ... 

Malvern    

Manheim    

Manheim  Township  

Manor  Township  

Mansfield   

Marcus  Hook  

Marietta    

Marlborough  Township    

Marple  Township    

Mars   

Martinsburg    

Marysville    

Masontown    

Matamoras    

Mayfield  

McAdoo   

McCandless  

McConnellsburg    

McDonald    

McKeesport  

McKees  Rocks    

McSherrystown    

Meadville   

Mechanicsburg  

Mechanicsville  

Media  

Mercer 

Meyersdale    

Middlesex  Township  (Butler  County)   

Middlesex  Township  (Cumberland  County) 

Middletown  

Middletown  Township   

Midland    

Miffiinburg    

Miffiin  Town  

Milford    


PENNSYLVANIA— Continued 


2 
7 
9 

19 
2 
2 
1 

11 
1 
2 

12 
6 

14 
1 

19 
1 

22 
7 

1.1 
5 

19 

28 
161 

28 
1 

49 
9 

32 

12 

15 

28 

12 
9 
1 
1 

4 
7 
4 
5 
6 
7 

57 

15 
5 
5 
3 
5 

41 


14 


1 

9 
I 

2 

10 

6 

12 

1 

13 

I 

20 

7 

13 

4 

16 

25 

133 

21 

1 

43 

8 

25 

II 

10 

25 

11 

4 

1 

1 

4 
6 
4 
5 
5 
6 
43 
14 
5 
4 
2 
4 
33 
2 
2 
4 
4 


Millboume  

MiUcreek  Township  

MiUersburg    

MillersviUe    

Millvale  

Millville    

Milton    

Minersville    

Mohnton  

Monaca   

Monessen   

Monongahela    

Monroeville  

Montgomery  

Montgomery  Township    

Montoursville  

Montrose    

Moon  Township  

Moore  Township   

Moosic  

Morrisville  

Morton    

Moscow  

Mountaintop  Regional    

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  

Narbenh  

Nazareth  Area  

Neshannock  Township   

Nesquehoning    

Nether  Providence  Township  

Neville  Township    

Newberry  Township  

New  Bethlehem    

New  Brighton    

New  Britain    

New  Britain  Township  

New  Castle    

New  Cumberland    

New  Eagle   

New  Freedom    

New  Hanover  Township  

New  Holland   

New  Hope  

New  Kensington    

New  Oxford   

Newport    

New  Sewickley  Township  

Newtown    

Newtown  Township  (Bucks  County)    

Newtown  Township  (Delaware  County) 

Newville   

New  Wilmington  

Norristown    

Northampton   

Northampton  Township    

North  Belle  Vernon  

North  Bethlehem  Township    

North  Braddock   

North  Catasaqua   


4 
62 
4 
9 
4 
1 
11 
7 
3 
7 

12 

11 

63 

2 

32 

5 

2 

33 

6 

2 

13 

5 

2 

7 
3 
1 

10 
6 

57 
5 
5 
3 
3 
6 

24 
3 

21 

20 
4 

16 
2 
6 

13 
6 
4 

12 
8 

11 
3 

13 
1 

10 

34 
5 
3 
3 
6 
8 
9 

28 
2 
2 
6 
5 

18 

13 
3 
4 

72 

15 

43 
2 
1 
5 
4 


9 
5 

1 
1 

44 

13 

5 

5 

3 

3 

6 

23 

1 

3 

17 

16 

4 

12 

1 

6 

11 

5 

4 

17 

6 

10 

2 

8 
1 

9 

1 

34 

5 

3 

3 

A 

7 

1 

7 

2 

22 

6 

7 

■> 

5 

1 

5 

16 

2 

12 

1 

3 

4 

68 

4 

11 

4 

36 

7 

7 

1 

4 

1 

4 

342 


Table  78. — Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1991 — Continued 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


PENNSYLVANIA— Continued 

North  Charleroi    

North  Codorus  Township    

North  Cornwall  Township  

North  Coventry  Township  

North  East    

Northeastern  Regional    

Northern  York  Regional  

North  Fayette  Township  

North  Franklin  Township    

North  Huntingdon  Township  

North  Lebanon  Township    

North  Londonderry  Township  

North  Middleton  Township    

North  Sewickley  Township    

North  Strabane  Township    

Northumberland  

North  Versailles  Township    

North  Wales  

Norwegian  Township    

Norwood    

Oakdale  

Oakmont    

O'Hara  Township   

Ohio  Township  

Ohioville  

Oil  City    

Old  Forge    

Old  Lycoming  Township    

Oley  Township   

Olyphant  

Orangeville    

Orwigsburg    

Oxford   

Palmerton    

Palmer  Township    

Palmyra  

Parkside    

Parks  Township   

Patterson    

Patton    

Palton  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    

Philadelphia   

Philipsburg    

Phoenixville   

Pine  Creek  Township  

Pine  Grove   

Pine  Township   

Pilcaim    

Pittsburgh    

Piltston    

Plainfield  Township  

Plains  Township    

Pleasant  Hills    

Plum  

Plumstead  Township  

Plymouth    

Plymouth  Township  

Pocono  Township   

Point  Marion  

Point  Township   

Portage    

Port  Allegany  

Port  Carbon  


2 
2 
9 
8 

12 
7 

37 

17 
7 

24 
8 
6 
6 
2 
8 
3 

10 
4 
1 
7 
I 
9 

II 
3 
2 

21 
7 
8 
I 

6 
1 

4 
7 
9 

23 
8 
2 
3 
4 
2 

11 
3 
3 
6 

61 
4 
5 

18 

18 
3 

12 
2 

23 

7,318 

1 

27 
I 
3 

12 

3 

1.394 

12 
5 
9 

18 

23 
6 

10 

40 

10 
1 

4 
2 
2 
3 


18 

6 

7 

1 

6 

6 

1 

8 

3 

10 

4 

1 

6 

1 

1 

7 

1 

1  1 

3 

2 

17 

4 

6 

1 

7 

1 

6 

1 

4 

6 

1 

8 

1 

18 

■  5 

8 

■> 

1 

2 

4 

■) 

10 

1 

3 

3 

6 

53 

8 

3 

1 

5 

16 

2 

16 

2 

3 

II 

1 

2 

18 

5 

6.424 
1 

894 

22 
1 

5 

3 

11 

1 

3 

1,135 

259 

9 

3 

5 

9 

14 

4 

19 

4 

6 

6 

4 

33 

7 

9 

1 

1 

4 

2 

2 

3 

PENNSYLVANIA— Continued 

Port  Vue    

Pottstown  

Pottsville    

Prospect  Park    

Punxsutawney    

Pymatuning  Township    

Quakertown    

Raccoon  Township  

Radnor  Township  

Ralpho  Township    

Rankin  

Reading  

Red  Lion   

Redstone  Township  

Reserve  Township  

Reynoldsville    

Richland  

Richland  Township  (Allegheny  County) 
Richland  Township  (Cambria  County)  . . 

Ridgway    

Ridley  Park    

Ridley  Township   

Riverside    

Roaring  Brook  Township  

Roaring  Spring   

Robesonia-Heidelberg    

Robeson  Township  

Robinson  Township  

Rochester  

Rochester  Township    

Rockledge  

Rosslyn  Farms    

Ross  Township  

Rostraver    

Royersford  

Rush  Township    

Rye  Township  

Saegertown    

St.  Clair    

St.  Marys   

Salisbury  Township   

Saltsburg  

Sandy  Lake  

Sandy  Township    

Saxonburg    

Saxton    

Sayre  

Schuylkill  Haven    

Schuylkill  Township  

Scoltdale  

Scott  Township  (Allegheny  County)  

Scott  Township  (Columbia  County)  

Scott  Township  (Lackawanna  County)  .. 

Scranton    

Selinsgrove    

Sellersville    

Seven  Springs    

Sewickley   

Sewickley  Heights  

Shaler  Township    

Shamokin  

Shamokin  Dam    

Sharon   

Sharon  Hill  

Sharpsville  

Sheffield  Township  

Shenandoah  

Shenango  Township  (Lawrence  County) 
Shenango  Township  (Mercer  County)  ... 

Shickshinny  

Shillington    

Shippensburg    

Shippingport  

Shiremanstown    

Shrewsbury    


1 

47 

33 

8 

14 

5 

16 

3 

57 

4 

5 

225 

6 

2 

3 

2 

1 

11 

28 

6 

9 

43 

3 

1 

1 

2 

3 

23 

11 

1 

4 

2 

49 

10 

7 

1 

1 

1 

6 
8 
II 
1 
I 
5 
1 
3 

10 

14 

6 

7 

29 

4 

3 

146 

4 

4 

5 

10 

8 

39 

16 

3 

31 

10 

6 

2 

7 

4 

3 

I 

8 

10 

2 

2 

3 


39 

8 

29 

4 

8 

8 

6 

5 

14 

2 

1 

47 

10 

4 

4 

193 

32 

6 

? 

1 

7 

10 

1 

20 

8 

6 

8 

1 

33 

10 

1 

1 

? 

2 

1 

18 

5 

9 

2 

1 

4 

7 

40 

9 

9 

1 

6 

1 

1 

6 

7 

1 

10 
1 

1 

5 

1 

2 

8 

2 

7 

7 

5 

1 

7 

24 

5 

4 

1 

140 

6 

3 

1 

4 

•i 

9 

1 

7 

1 

30 

9 

12 

4 

3 

26 

5 

9 

1 

5 

1 

7 

7 

4 

2 

1 

7 

1 

9 

1 

? 

7 

3 

343 


Table  78. — Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1991 — Continued 


City 


Total 

police 

employees 


Total 

officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


PENNSYLVANIA— Continued 


Silver  Spring  Township  

Sinking  Spring  

Slatington  

Slippery  Rock    

Smith  Township  

Snyder  Township  

Solebury  Township  

Somerset  

Souderton  

South  Abington  Township  

South  Beaver  Township    

South  Centre  Township  

South  Coatesville  

South  Fayette  Township   

South  Fork    

South  Greensburg    

South  Lebanon  Township    

South  Londonderry  Township  

Southmont   

South  Park  Township  

South  Strabane  Township    

South  Waverly    

Southwest  Greensburg    

South  Whitehall  Township    

South  Williamsport    

Spangler    

Spring  City   

Springdale    

Springettbury  Township  

Springfield  Township  (Bucks  County)  

Springfield  Township  (Delaware  County)  

Springfield  Township  (Montgomery  County) 

Spring  Garden  Township   

Spring  Township  (Berks  County)  

Spring  Township  (Centre  County)    

State  College    

Sleelton  

Sloneboro  

Sloneycreek  Township    

Stowe  Township  

Strasburg    

Stroudsburg  

Stroud  Township  

Sugarcreek   

Sugarloaf  Township   

Summit  Hill  

Sunbury  

Susquehanna  Township   

Swarthmore  

Swatara  Township    

Swissvale    

Swoyersville    

Tamaoua    

Tarentum   

Taylor    

Telford  

Temple    

Thombury  Township    

Tinicum  Township  (Bucks  County)   

Tinicum  Township  (Delaware  County)    

Tilusville    

Tobyhanna  Township   

Topton  

Towamencin  Township    

Towanda  

Trafford    

Trainer    

Tredyffrin  Township  

Troy    

Tunkhannock   

Tunkhannock  Township    

Turtle  Creek  

Tyrone  

I'nion  City   

Uniontown    


10 

1 

4 

6 

4 

? 

1 

8 

1 

6 

1 

5 

1 

9 

1 

? 

■\ 

2 

1 

n 

1 

6 

4 

•) 

15 

1 

8 

? 

? 

33 

4 

S 

1 

4 

1 

1 

25 

3 

■i 

32 

6 

30 

1 

17 

1 

17 

4 

56 

16 

10 
1 

1 

3 

<> 

1 

12 

3 

15 

1 

4 

? 

3 

14 

7 

30 

3 

<) 

31 

3 

10 

4 

5 

2 

11 

4 

7 

5 

7 

6 

I 

2 
1 

1 

4 

12 

2 

13 

1 

10 

1 

8 

17 

2 

4 

4 

47 

8 

3 

S 

5 

3 

4 

4 

5 

3 

21 

6 

PENNSYLVANIA— Continued 


Union  Township  (Mifflin  County)   

Union  Township  (Washington  County)   

Upland    

Upper  Allen  Township    

Upper  Chichester  Township  

Upper  Darby  Township    

Upper  Dublin  Township  

Upper  Gwynedo  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)  J 

Upper  Providence  Township  (Montgomery 

County)  

Upper  St.  Clair  Township  

Upper  Saucon  Township    

Upper  Southampton  Township  

Upper  Uwchlan  Township  

Upper  Yoder  Township    

Uwchlan  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    

West  Donegal  Township  

West  Earl  Township    

West  Fairview  

West  Goshen  Township    

West  Grove    

West  Hazleton    

West  Hempfield  Township    

West  Hills  Regional  

West  Homestead 

West  Lampeter  Township    

West  Manchester  Township    

West  Manheim  Township    

West  Mayfield  

West  Middlesex   

West  Mifflin  

West  Norriton  Township    

West  Pittston  

West  Pottsgrove  Township    

West  Reading    

West  Rockhill  Township  

Westtown  Township    

West  View 

West  Whiteland  Township    

West  Wyoming  


2 

5 

1 

14 

22 

139 

40 

17 

9 

69 

46 

6 

2 

8 

4 

10 

10 

31 

13 

24 

4 

6 

19 

8 

3 

4 

3 

2 

3 

50 

23 

17 

9 

14 

27 

2 

12 

2 

4 

16 

7 

3 

6 

2 

3 

8 

54 

5 

7 

5 

2 

I 

25 

3 

6 

12 

7 

8 

7 

21 

6 

I 

1 

32 

26 

6 

7 

7 

5 

15 

12 

21 

4 


2 

5 

1 
13 
19 
112 
35 
16 

9 
53 
37 

6 

2 

8 

4 

10 

9 
26 
12 
21 

4 

6 
17 

8 

3 

4 

3 

2 

3 
43 
19 
15 

8 
12 
26 

2  , 
10 

2  , 

4  . 
15 

7  , 

3  . 
6 

2  . 

3  . 

8  . 
37 

5  . 
6 

5  . 

2  . 
1  . 

22 

3  . 

6  . 
11 

7  . 
4 

7  . 
19 

6  . 

1  . 
-1  . 
27 
22 

6  . 

7  . 
7  . 
5  . 

14 
9 
19 

4  . 


344 


Table  78. — Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1991 — Continued 


Cilv 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


PENNSYLVANIA— Continued 


SOUTH  CAROLINA 


West  York  

Wheatland   

Whitehall    

Whitehall  Township  

White  Haven   

Whitemarsh  Township   .. 

White  Oak    

Whitpain  Township  

Wiconisco  Township   

Wilkes-Barre  

Wilkes-Barre  Township    . 

Wilkinsburg  

Wilkins  Township  

Williamsport  

Williamstown  

Willistown  Township    . . . 

Wilmerding  

Wilson   

Windber    

Wind  Gap  

Windsor  Township  

Wormleysburg   

Wrightsville  

Wyomissing  

Wyomissing  Hills    

Yardley    

Yeadon    

York   

York  Springs  -  Latimore 

York  Township    

Youngsville   

Zelienople    


RHODE  ISLAND 


Barrington    

Bristol    

Burrillvilte   

Central  Falls    

Charleslown    

Coventry  

Cranston   

Cumberland    

East  Greenwich  .. 
East  Providence   . . 

Foster  

Glocester    

Hopkinton   

Jamestown  

Johnston   

Lincoln    

Little  Compton  ... 

Middletown  

Narragansett   

Newport    

New  Shoreham   . . . 
North  Kingstown  . 
North  Providence 
North  Smithfield  . 

Pawtucket    

Portsmouth    

Providence  

Scituate   

Smithfield    

South  Kingstown   . 

Tiverton    

Warren    

Warwick   

Westerly    

West  Greenwich  . . 
West  Warwick  .... 
Woonsocket    


6 

1 

2.1 

52 

2 

32 

10 

27 

I 

104 

13 

34 

10 

55 

I 

15 

2 

7 

3 

3 

9 

5 

2 

22 

4 

3 

17 

109 

3 

23 

2 

10 


1 

18 

5 

40 

12 

1 

28 

4 

in 

24 
1 

3 

90 

14 

9 

4 

28 

6 

10 

51 
1 

4 

14 

1 

7 

7 

2 

1 

3 

8 

1 

5 

■) 

17 

5 

4 

3 

16 

1 

96 

13 

3 

21 

2 

"> 

31 

24 

50 

39 

24 

17 

39 

37 

21 

16 

65 

50 

176 

144 

46 

44 

37 

28 

110 

91 

12 

8 

13 

9 

15 

10 

14 

12 

73 

58 

35 

30 

12 

8 

41 

38 

44 

34 

113 

90 

8 

3 

58 

48 

67 

52 

23 

18 

175 

147 

28 

26 

539 

440 

21 

15 

44 

36 

57 

43 

32 

23 

26 

21 

228 

174 

46 

39 

12 

7 

60 

54 

107 

98 

.Abbeville    

.Mken   

Allendale    

Anderson    

Andrews    

Aynor  

Bamberg   

Barnwell    

Batesburg  

Beaufort    

Belton    

Bennettsville  . , 

Bethune  

Bishopville  

Blacksburg  

Blackville    

BlufTton  

Bonneau    

Bowman    

Brunson 

Calhoun  Falls 

Camden  

Cameron  

Campobello  ... 

Cayce   

Central  

Chapin  

Charleston    

Cheraw    

Chesnee  

Chester    

Chesterfield  . . . 

Clemson    

Clinton    

Clover    

Columbia   

Conway   

Cowpens  

Cross  Hill    .... 

Darlington   

Denmark    

Dillon  

Duncan    

Easley  

Edgefield  

Edisto  Beach    . 

Ehrhardt   

Elgin    

EUoree    

Estill   

Eutawville    

Fairfax  

Florence    

Folly  Beach  ... 
Forest  Acres  .. 

Fort  Mill    

Fountain  Inn   . 

Gaffney   

Gaston  

Georgetown  ... 
Goose  Creek  . 
Great  Falls    ... 

Greenville    

Greenwood    ... 

Greer    

Hampton    

Hanahan  

Hardeeville    . . . 

Harleyville  

Heath  Springs 
Hemingway  , . . 
Holly  Hill    .... 
Honea  Path    . . 

Inman    

Irmo    


20 

90 

13 

85 

14 

8 

8 

U 

14 

36 

20 

27 

2 

18 

7 

4 

5 

1 

2 

2 

7 

29 

1 

1 

48 

5 

1 

356 

27 

6 

22 

6 

28 

29 

14 

299 

38 

4 

1 

30 

8 

23 

5 

32 

10 

4 

2 

2 

5 

15 

3 

5 

89 

13 

33 

17 

19 

33 

I 

39 

41 

8 

195 

61 

39 

9 

27 

12 

3 

I 

8 

10 

14 

5 

15 


4 

7 

4 
1 

10 

I 

10 

4 

33 

3 

15 

5 

23 

4 

? 

13 

5 

6 

1 

4 

5 

7 

6 

1 
1 

23 

6 

1 

35 

13 

5 

1 

258 

98 

22 

5 

6 

20 

2 

5 

1 

22 

6 

27 

2 

14 

246 

53 

31 

7 

4 

23 

7 

8 

18 

5 

4 

1 

27 

5 

6 

4 

3 

I 

? 

1 

5 

1 

7 

8 

2 

1 

5 

73 

16 

8 

5 

25 

8 

12 

5 

13 

6 

25 
1 

8 

36 

3 

31 

10 

6 

2 

160 

35 

51 

10 

28 

11 

9 

21 

6 

8 

4 

3 

1 

5 

3 

6 

4 

10 

4 

5 

14 

1 

345 


Table  78. — Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1991 — Continued 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


SOUTH  CAROLINA— Continued 


Isle  of  Palms  

Iva   

Jackson    

Jamestown  

Jefferson   

Johnsonville    

Johnston  

Kershaw    

Kingstree    

Lake  City  

Lakeview    

Lancaster   

Landrum  

Laurens   

Leesville    

Lexington   

Liberty  

Loris   

Lyman   

Manning  

Marion  

Mauldin    

McBee    

McColl  

McCormick   

Moncks  Comer  

Mount  Pleasant    

Mullins    

Myrtle  Beach   

Newberry   

New  Ellenton  

Ninety  Six   

North  Augusta    

North  Charleston  . . . 
North  Myrtle  Beach 

Orangeburg    

Pacolet  

Pacolet  Mills    

Pageland   

Pendleton  

Pickens    

Pine  Ridge    

Port  Royal    

Prosperity 

Ridgeland  

Ridge  Spring    

Ridgeway    

Rock  Hill  

St.  George  

St.  Matthews    

St.  Stephens   

Salem    


Salley    

Saluda    

Santee    

Sellers  

Seneca    

Simpsonville  

Society  Hill  

South  Congaree 

Spartanburg  

Springdale    

Sullivans  Island 

Summerlon    

Summerville   

Sumter  

Surfside  Beach    . 

Tega  Cay    

Travelers  Rest  .. 

TL-rbeville  

Union  

Vance  

Varnville  

Wagener    

Walhalla    


22 
6 
5 
2 
3 
8 

10 

9 

20 

25 

2 

41 

8 

24 

8 

14 

U 

10 

5 

14 

26 

31 

3 

5 

5 

21 

70 

21 

123 

30 

5 

10 

55 

211 

64 

51 

2 

1 

17 

6 

11 

2 

14 

4 

6 

2 

2 

103 

8 

5 

4 

I 

1 

8 

7 

3 

24 

31 

4 

3 

146 

7 

7 

7 

39 

99 

14 

11 

24 

2 

37 

2 

5 

2 

13 


16 

5 
4 
2 
3 
4 
6 
5 

15 

20 

2 

34 

8 

23 

8 

14 

7 

6 

5 

13 

20 

25 

2 

5 

5 

17 

50 

17 

115 

27 

5 

5 

43 

152 

48 

40 

2 

1 

12 

6 

10 

1 

12 

4 

5 

2 

2 

85 

6 

5 

4 

1 

1 

8 

5 

2 

20 

23 

2 

3 

127 

7 

6 

5 

36 

72 

10 

7 

19 
1 
29 
1 
3 
2 
12 


SOUTH  CAROLINA— Continued 


Walterboro    

Ware  Shoals  ... 

Wellford    

West  Columbia 
Westminster  ... 
West  Pelzer  ... 
West  Union    ... 

Whitmire    

Williamston    ... 

Williston  

Woodruff  

Yemassee    

York    


SOUTH  DAKOTA 


Aberdeen    

Belle  Fourche 

Beresford    

Box  Elder    .... 

Brandon    

Brookings   

Bryant    

Burke    

Canton  

Chamberlain  .. 

Deadwood   

Eagle  Butte   . . , 

Eureka   

Fort  Pierre    ... 

Gregory  

Hot  Springs    .. 

Huron    

Kadoka   

Lead    

Madison    

McLaughlin  ... 

Milbank    

Miller   

Mitchell  

Mobridge    

Murdo    

Parker    

Parkston    

Philip   

Pierre   

Rapid  City    ... 

Salem    

Selby  

Sioux  Falls    . . . 

Spearfish  

Sturgis    

Vermillion   

Watertown  

Winner    

Yankton    


Adamsville  ... 

Alcoa    

Algood   

Ardmore   ..... 
Ashland  City 

Athens    

Bartlett    

Benton   

Bolivar  

Brentwood   . . . 

Bristol    

Brownsville   . . 

Bruceton  

Carthage   

Centerville  . . . 
Chattanooga    . 


TENNESSEE 


51 

39 

30 

25 

10 

26 

22 

13 

10 

30 

22 

26 

23 

108 

82 

166 

142 

15 

11 

11 

10 

21 

16 

29 

25 

13 

37 

22 

8 

5 

25 

22 

6 

5 

8 

5 

6 

6 

26 

24 

66 

44 

4 

4 

24 

19 

45 

36 

54 

51 

28 

22 

3 

3 

10 

6 

14 

10 

504 

374 

346 


Table  78. — Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1991 — Continued 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


TENNESSEE— Continued 


Church  Hill 

ClarksviUe 

Cleveland 

Collegedale 

Collierville 

Collinwood 

Columbia 

Cookeville 

Comersville 

Cowan 

Crossville 

Cumberland  Gap 

Dandhdge    

Dayton  

Dickson  

Dyer    

Dyersburg  

East  Ridge  

Elkton    

Erwin    

Etowah    

Fairview   

Fayetteville    

Franklin    

Friendsville   

3atlatin  

jallaway  

3ates    

Oatlinburg  

Oermantown  

Gleason  

joodlettsville  ... 
3rand  Junction 

jreeneville    

Halls   

Hartsville   

Hendersonville    . , 

Hohenwald    

Humboldt  

Huntingdon  

Huntland    

lackson    

lasper  

lefferson  City    . . , 

lellico  

lohnson  City    

lonesborough   

<enton    

Cimball   

<ingspon   

Kingston  

Cnoxville    

-afayette  

J  Follelte  

-ake  City  

^  Vergne   

^wrenceburg  

-ewisburg  

-exington   

,ivingston   

xiretto  

vlartin    

^laryville    

•IcKenzie  

vlcMinnville  

•lemphis    

-Iilan    

.lillersville    

■lillington    

•linor  Hill  

iorristown    

■lount  Juliet    

'lount  Pleasant    . 

'lurfreesboro   

■lashville    


TENNESSEE— Continued 


7 
157 
67 

8 
44 

4 
64 
70 

2 

4 
23 

2 

2 
16 
42 

6 
59 
38 

1 

9 
12 
15 
25 
61 

I 
53 

1 

1 
38 
56 

5 
38 

3 
38 

6 
13 
62 
10 
31 
14 

199 

13 

13 

6 

132 

15 

5 

9 

126 

10 

351 

14 

23 

7 

21 

35 

29 

25 

15 

3 

23 

36 

15 

42 

1.805 

19 

7 

30 

5 

58 

15 

14 

114 

1,303 


7 

138 

59 

8 

32 

3 

54 

56 

I 

4 

19 

2 

2 

12 

29 

6 

44 

32 

1 

9 
8 

10 

19 

49 

1 


5 
89 

8 

293 

11 

17 

7 
16 
29 
25 
21 
14 

3 

18 
33 
12 
33 
1,390 
15 

4 
24 

2 
55 
10 
10 
89 
990 


19 


38 
1 

15 

1 

30 

8 

45 

11 

5 

28 

10 

3 

36 

2 

6 

8 

5 

45 

17 

10 

25 

6 

10 

4 

? 

152 

47 

8 

5 

12 

1 

6 

111 

21 

10 

5 

5 

5 
3 
3 
9 

415 
4 
3 
6 
3 
3 
5 
4 
25 

313 


Newbem   

New  Johnsonville    

New  Tazewell    

Norris  

Oak  Ridge  

Obion  

Oliver  Springs  

Pigeon  Forge    

Portland    

Pulaski  

Red  Bank  

Red  Boiling  SpiHngs  .. 

Rockwood    

Rutherford  

Savannah    

Sevierville    

Sewanee    

Sharon    

Shelbyville  

Signal  Mountain    

Smyrna    

Soddy-Daisy   

Somerville    

South  Carthage  

South  Fulton    

Sparta  

Spring  City   

Springfield   

Tazewell    

Town  of  Decaturville 

Trenton   

Trimble   

Tutlahoma  

Union  City   

Waverly  

Westmoreland   

White  Pine   

Winchester  

Woodbury    


TEXAS 


Abemathy    

Abilene    

Addison  

Alamo    

Alamo  Heights    .. 

.Mice    

Allen  

Alpine    

Alto   

Alvarado  

Alvin  

Amarillo   

Andrews    

Angleton   

Anson  

Anthony    

Aransas  Pass    

Arlington    

Arp    

Athens   

Atlanta  

Austin    

Azle  

Balch  Springs  

Balcones  Heights 

Ballinger   

Bangs    

Bastrop    

Bay  City  

Bayou  Vista    

Baytown    

Beaumont  

Bedford  


9 

4 

5 

7 

47 

3 

13 

32 

12 

25 

19 

4 

17 

4 

14 

29 

8 

3 

26 

14 

24 

14 

7 

3 

6 

15 

5 

28 

6 

1 

12 

3 

29 

25 

9 

2 

6 

14 

8 


3 

3 

218 

163 

61 

48 

20 

15 

27 

20 

43 

34 

35 

25 

12 

7 

7 

6 

9 

5 

37 

30 

315 

244 

16 

14 

37 

26 

5 

4 

6 

6 

22 

17 

469 

359 

25 

18 

17 

12 

1.125 

811 

24 

17 

36 

25 

23 

17 

8 

5 

9 

7 

42 

32 

4 

4 

132 

100 

277 

224 

84 

60 

347 


Table  78. — Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1991 — Continued 


City 


Tolal 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


TEXAS— Continued 


TEXAS — Continued 


Beeville   

Bellaire    

Bellmead  

Bellville  

Belton    

Benbrook   

Bertram  

Beverly  Hills    .. 

Big  Sandy    

Big  Spring   

Bishop   

Blanco   

Blue  Mound  ... 

Boerne   

Bonham    

Borger    

Bowie   

Brady   

Brazoria    

Breckenridge  ... 

Brenham   

Bridge  City   

Bridgeport    

Brookshire   

Brownfield  

Brownsville   

Brownwood  

Bryan    

Burkbumett  

Burleson    

Burnet    

Caddo  Mills  ... 

Caldwell    

Cameron  

Cancy  City    

Canton  

Canyon    

Carrollton  

Carthage  

Castle  Hills  .... 

Cedar  Hill  

Cedar  Park    

Center    

Childress  

Cisco  

Clarksville    

Cleburne  

Cleveland  

Clifton   

Clute  

Cockrell  Hill    .. 

Coleman   

College  Station 

Colleyville    

Colorado  City    . 

Columbus  

Comanche   

Combes  

Commerce   

Conroe  

Converse  

Coppell    

Copperas  Cove 

Corinth    

Corpus  Christi 

Corrigan    

Corsicana   

Crane    

Crockett    

Crowley  

Crystal  City    ... 

Cuero   

Daingerfield    ... 

Dalhart    

Dallas  


25 
50 
17 
9 
26 
41 
I 

8 

3 

55 

9 

2 

8 

12 

20 

29 

15 

13 

12 

14 

36 

18 

13 

10 

19 

211 

34 

102 

17 

39 

6 

3 

7 

13 

2 

11 

16 

173 

18 

22 

36 

17 

18 

14 

6 

7 

50 

22 

6 

25 

15 

15 

93 

27 

13 

7 

10 

3 

22 

70 

18 

34 

52 

11 

524 

14 

45 

11 

15 

20 

11 

9 

6 

16 

3,666 


19 

37 

12 

7 

17 

33 

1 

7 

3 

39 

5 

2 

4 

11 

14 

21 

9 

7 

7 

9 

25 

13 

7 

6 

14 

150 

27 

84 

12 

31 

5 

3 

6 

8 

2 

7 

14 

122 

12 

18 

28 

12 

13 

9 

6 

7 

37 

15 

5 

17 
9 

10 
68 
21 
7 
6 
6 
3 

16 

56 

17 

26 

38 

9 

380 

5 

36 

6 

10 

14 

9 

8 

5 

10 
2,857 


6 
14 

I 

8 
14 

2 

144 
9 
9 
5 
5 
6 
2 
I 
I 
6 

809 


Dalworthington  Gardens 

Dayton  

Decatur   

Deer  Park    

De  Kalb   

Del  Rio  

Denison  

Denton    

Denver  City   

Desoto  

Devine  

Diboll  

Dickinson  

Dimmitt    

Donna    

Dublin   

Dumas  

Duncanville  

Eagle  Lake  

Eagle  Pass   

Early   

Earth  

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    

Floydada  

Forest  Hill  

Forney   

Fort  Stockton    

Fort  Worth    

Frankston  

Fredericksburg  

Freeport    

Freer  

Friendswood  

Friona    

Frisco  

Gainesville  

Galnea  Park   

Galveston  

Garland  

Gatesville  

Georgetown  

Giddings  

Gilmer  

Gladewater    

Glenn  Heights  

Gonzales  

Graham  

Granbury    

Grand  Prairie    

Grand  Saline   

Grapevine    

Greenville    

Groesbeck    

Groves  

Gruver  


7 

7 

16 

10 

14 

10 

53 

42 

5 

4 

68 

53 

50 

39 

122 

100 

12 

7 

59 

40 

12 

6 

15 

9 

20 

15 

9 

7 

23 

18 

7 

5 

26 

21 

73 

50 

5 

4 

46 

37 

5 

4 

2 

2 

10 

8 

5 

5 

3 

2 

3 

3 

52 

36 

8 

7 

25 

19 

9 

5 

II 

7 

1,000 

768 

13 

7 

33 

26 

80 

52 

20 

12 

12 

6 

8 

8 

79 

67 

3 

3 

11 

8 

6 

6 

34 

25 

4 

4 

30 

22 

13 

9 

23 

14 

1,292 

949 

9 

6 

17 

15 

35 

28 

10 

5 

40 

29 

9 

5 

19 

14 

37 

29 

21 

16 

183 

154 

298 

214 

14 

9 

33 

24 

14 

9 

10 

8 

20 

14 

11 

6 

13 

8 

13 

13 

18 

15 

223 

140 

6 

5 

77 

52 

59 

43 

6 

5 

14 

13 

2 

2 

348 


Table  78.— Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1991 — Continued 


Cily 


TEXAS — Continued 


Gun  Barrel  City 

Halleltsville  

Haltom  City  

Hamlin 

Harker  Heights  .. 

Harlingen   

Hawkins    

Hearne  

Heath  

Hedwig  Village  .. 

Helotes    

Hemphill    

ttempstead    

Henderson   

Hereford   

lewitt    

Iko    


Iidalgo   

Highland  Park  ... 

Highland  Village 

Hill  Country  

Hillsboro  

Hitchcock  

Holland  

Hollywood  Park  . 

Hondo    

Hooks  

Horizon  City    

Horseshoe  Bay    .. 

Houston    

Hubbard   

Humble  

Hungtington   

Hunlsville    

Hurst    

■  tutchins  

tutto   

dalou  

ngleside   

owa  Park   

rving   

acinto  Cily   

'  acksboro  

acksonville  

amaica  Beach    .. 

asper  

elTerson  

ersey  Village 

ohnson  City   

oshua    

ourdanton    

Laly   

iaufman    

'.eene  

teller  

lemah  

^emp   

.ennedale   

.ermit 

.errville  

.ilgore  

.illeen  

.ingsville  

.irby   

.irbyville  

-ountze    

.yie    

acy-Lakeview  . . . 

a  Feria   

ago  Vista  

a  Grange  

a  Joya 

ake  Dallas 

ake  Jackson 

akeside 


Total 

police 

employees 


13 

5 

64 

8 

35 

103 

3 

23 

5 

21 

5 

4 

II 

29 

30 

22 

3 

26 

61 

17 

5 

21 

15 

I 

9 
15 
4 
4 
7 
>,732 
2 

53 

4 

46 

82 

14 

3 

3 

14 

13 

345 

19 

8 

29 

6 

21 

27 

18 

1 

8 

5 

21 

19 

13 

30 

8 

4 

19 

15 

50 

33 

151 

54 

14 

3 

3 

4 

13 

14 

12 

6 

9 

14 

41 

3 


Total 
ofTicers 


9 

4 

49 

4 

26 

79 

3 

13 

5 

15 

5 

4 

9 

23 

24 

15 

3 

21 

50 

II 

s 

16 

II 

I 

9 

13 

4 

4 

6 

4.077 

2 

42 

4 

33 

55 

10 

3 

3 

10 

10 

254 

14 

6 

23 

5 

14 
5 
II 
1 
8 
5 

17 

14 

7 

23 

4 

4 

12 

9 

40 

26 

113 

41 

10 

3 

3 

4 

8 

10 
7 
5 
5 
9 
31 


Total 
civilians 


10 


I 
1.655 

II 


City 


TEXAS — Continued 


Lakeview    

Lakeway  Village  

Lake  Worth    

La  Marque    

Lamesa    

Lampasas  

Lancaster   

La  Porte  

Laredo   

La  Vemia    

League  City    

Leander  

Leon  Valley    

Levelland    

Lewisville  

Lexington   

Liberty  

Lindale    

Littlefield    

Live  Oak    

Livingston    

Llano    

Lockhart   

Lockney    

Lone  Star  

Longview    

Lorena   

Los  Fresnos    

Lubbock    

Lufkin    

Luling  

Lumberton  

Madisonville  

Maiakoff  

Manor    

Mansfield  

Manvel    

Marble  Falls  

Marlin    

Marshall    

Mart    

Martindale  

Mathis  

McAllen    

McGregor  

McKinney    

Meadows    

Memphis    

Mercedes    

Meridian  

Merkel    

Mesquite  

Mexia   

Midland    

Midlothian  

Mineola  

Mineral  Wells    

Mission    

Missouri  City    

Monahans    

Mont  Belvieu  

Morgans  Point  Resort 

Mount  Pleasant    

Muleshoe    

Munday  

Mustang  Ridge    

Nacogdoches  

Naples    

Nassau  Bay  

Navasota  

Nederland    

Needville    

New  Boston    

New  Braunfels    

New  Deal    


Total 

police 

employees 


Total 
officers 


15 

11 

19 

12 

21 

17 

28 

22 

23 

16 

15 

9 

44 

32 

67 

48 

231 

200 

51 

38 

10 

6 

31 

24 

26 

20 

109 

75 

19 

13 

9 

5 

17 

12 

24 

19 

16 

10 

6 

5 

12 

12 

2 

2 

3 

3 

179 

129 

11 

6 

349 

306 

79 

60 

12 

6 

9 

8 

6 

5 

4 

4 

4 

4 

35 

25 

9 

9 

17 

12 

14 

9 

53 

40 

4 

4 

8 

6 

249 

169 

II 

7 

39 

30 

10 

9 

2 

-) 

26 

19 

3 

3 

210 

158 

18 

13 

177 

151 

20 

16 

10 

9 

32 

25 

56 

45 

54 

38 

21 

14 

8 

7 

5 

5 

25 

18 

12 
1 

6 

1 
62 

1 
48 

2 

2 

20 

14 

17 

10 

26 

19 

5 

5 

12 

7 

60 

1 

43 

1 

349 


Table  78. — Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1991 — Continued 


City 


Total 

police 

employees 


Total 
ofTicers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


TEXAS — Continued 


Nocona    

Nolanville    

Nonhcrest    

North  Richland  Hills 
Oak  Ridge  North    .... 

Odessa   

Olmos  Park    

Olney    

Olton    

Onalaska  

Orange  

Orange  Grove   

Ore  City  

Overton  

Oyster  Creek    

Palacios  

Palestine  

Palmer  

Pampa    

Panhandle    

Pantego  

Pans   

Parker    

Pasadena    

Pearland   

Pearsall    

Pecos    

Perryton    

Pflugerville    

Pharr    

Pilot  Point    

Pinehurst    

Pittsburg  

Plainview   

Piano    

Pleasanton   

Port  Aransas    

Port  Arthur  

Port  Isabel  

Portland    

Port  Lavaca    

Port  Neches   

Poleet  

PremonI    

Primera   

Princeton    

Quanah    

Quinlin    

Quitman   

Ranger   

Ransom  Canyon    

Raymondville  

Red  Oak  

Refugio    

Richardson    

Richland  Hills  

Richmond    

Richwood  

River  Oaks   

Robinson    

Robstown  

Rockdale  

Rockport  

Rockwall  

Rollingwood    

Roma   

Roman  Forest  

Ropesville    

Roscoe  

Rosebud    

Rose  City  

Rosenberg    

Round  Rock  

Rowlett    

Royse  City    


TEXAS— Continued 


9 

1 

4 

95 

5 

236 

10 

10 

3 

4 

61 

3 

3 

6 

9 

9 

46 

2 

34 

4 

15 

64 

1 

247 

47 

9 

24 

15 

12 

78 

4 

11 

9 

38 

224 

13 

15 

149 

24 

29 

23 

20 

2 

4 

3 

7 

3 

5 

7 

3 

1 

19 

12 

6 

220 

22 

22 

7 

23 

17 

26 

13 

22 

30 

5 

22 

4 

1 

1 

3 

1 

54 

54 

44 

6 


5 

1 

4 

67 

5 

173 

10 

6 

3 

4 

45 

3 

3 

4 

5 

6 

35 

2 

27 

4 

10 

43 

1 

193 

31 

8 

17 

9 

7 

62 

4 

6 

8 

31 

172 

9 

9 

105 

16 

18 

18 

17 

2 

4 

3 

4 

3 

4 

6 

3 

1 

9 

7 

5 

142 

18 

16 

6 

16 

11 

20 

8 

15 

20 

4 

16 

3 

1 

1 

3 

1 

41 

43 

32 

5 


28 


63 


16 


Rusk   

Sabinal  

Sachse    

Saginaw  

San  Angelo    

San  Antonio  

San  Augustine  

San  Benito    

Sanger    

San  Juan    

San  Marcos  

Sansom  Park  Village 

Santa  Anna  

Santa  Fe  

Schertz  

Seabrook  

Seadrift    

Seagoville  

Seagraves   

Sealy  

Seguin    

Selma   

Seminole  

Seven  Points    

Shallowater   

Shamrock  

Shavano  Park    

Shenandoah    

Sherman    

Silsbee   

Sinton    

Slaton  

Smithville  

Snyder    

Somerset   

Somerville    

Sonora   

Sour  Lake    

South  Houston    

Southlake   

South  Padre  Island 

Southside  Place    

Spearman   

Springtown    

Spring  Valley  

Spur    

Stafford  

Stamford  

Stanton    

Stephenville    

Stinnett    

Stratford   

Sugar  Land    

Sulphur  Springs    

Sunset  Valley  

Surfside  Beach    

Sweeney    

Sweetwater  

Taft   

Tahoka    

Tatum    

Taylor    

Teague   

Temple    

Terrell    

Terrell  Hills    

Texarkana    

Texas  City  

The  Colony  

Tomball    

Trinity    

Trophy  Club    

Troup  

Tulia  

Tye    


11 

9 

2 

2 

14 

9 

23 

17 

196 

158 

1.897 

1.571 

5 

5 

38 

31 

7 

7 

24 

19 

59 

48 

11 

7 

18 

12 

22 

17 

25 

22 

2 

2 

16 

12 

4 

3 

9 

8 

53 

34 

8 

7 

11 

10 

10 

6 

7 

5 

6 

2 

5 

5 

6 

6 

76 

56 

19 

14 

10 

9 

14 

8 

12 

7 

21 

16 

2 

2 

6 

5 

5 

5 

7 

7 

39 

30 

27 

19 

23 

16 

9 

5 

7 

5 

8 

4 

21 

15 

2 

2 

27 

18 

10 

8 

4 

4 

34 

27 

3 

3 

3 

3 

56 

45 

32 

26 

2 

2 

3 

3 

6 

5 

24 

20 

4 

4 

4 

4 

4 

1 

22 

15 

7 

7 

118 

-94 

36 

28 

16 

16 

88 

79 

81 

71 

35 

24 

23 

18 

8 

4 

5 

4 

3 

3 

10 

6 

3 

2 

350 


Table  78. — Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1991 — Continued 


City 


Tolal 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Tolal 

police 

employees 


Total 
officers 


TEXAS — Continued 


Tyler 

Universal  City  

University  Park    

Uvalde  

Van   

Vernon    

Victoria  

Vidor    

Village   

Village  of  Jones  Creek 

Waco    

Wake  Village  

Waller    

Wallis  

Watauga    

Waxahachie  

Weatherford    

Webster  

Weimar   

Weslaco  

West   

West  Columbia  

West  Uke  Hills  

West  Orange    

Westover  Hills    

West  Tawakoni  

West  University  Place 

Westworth   

Wharton    

Whitehouse   

White  Oak    

Whitesboro    

White  Settlement  

Whitney    

Wichita  Falls   

Willow  Park  

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    

Draper  

Ephraim    

Farmington   

Grantsville  

Gunnison   

Harrisville    

Heber  City    

Hildale  

Hurricane  

ICanab    

Kaysville  

Layton   

Lehi  

^gan   

Vlantua   

Vlapleton    


UTAH— Continued 


178 
34 
41 
26 

4 

28 

126 

28 

32 

2 
267 

5 

9 

3 
42 
42 
46 
37 

4 
47 

4 
II 
16 

9 
13 

4 
27 

8 
22 

9 
15 
II 
33 

5 
224 

3 

7 
12 
21 
12 

4 

3 

8 
25 
20 
15 

3 


130 
26 
33 
20 

4 
21 
95 
21 
27 

2 

199 

5 

8 

3 

32 

33 

33 

26 

4 

37 

4 

7 

II 

7 

12 
2 

20 
4 

15 
7 

II 
7 

24 
5 
157 
3 
6 
7 

16 
8 
4 
3 
7 

16 

15 
9 
3 


48 


68 


10 


67 


Midvale  

Moab    

Monticello   

Moroni    

Mount  Pleasant    

Murray    

Naples    

Nephi   

North  Ogden    

North  Salt  Lake  .... 

Ogden  

Orem    

Park  City   

Parowan    

Payson  

Pleasant  Grove  

Pleasant  View   

Price 

Provo   

Richfield  

Riverdale    

Roosevelt   

Roy    

St   George  

Salem    

Salt  Lake  City  

Sandy   

Santaquin  

South  Jordan   

South  Ogden    

South  Salt  Lake   

Spanish  Fork   

Springville    

Stockton    

Sunset    

Syracuse    

Tooele    

Tremonton    

Vernal    

Washington  Terrace 

Wendover  

West  Bountiful    

West  Jordan  

West  Valley    

Woods  Cross    


VERMONT 


Barre  

Barre  Town    . 
Bellows  Falls 
Bennington    .. 

Brandon    

Brattleboro    .. 

Bristol    

Burlington    ... 

Castleton    

Chester    

Colchester    . . . 

Dover  

Fair  Haven    . . 

Hardwick    

Hartford    

Ludlow    

Lyndonville  .. 
Manchester  .. 
Middlebury   .. 

Milton    

Montpelier  ... 
Morristown   .. 

Newport    

Northfield    ... 

Norwich    

Randolph    

Richmond    ... 


23 

9 

3 

4 

4 

59 

3 

6 

12 

8 

119 

79 

24 

2 

II 

14 

5 

17 

112 

II 

17 

9 

31 

47 

3 

426 

79 

3 

9 

23 

40 

15 

18 

I 

9 

3 

21 

8 

17 

12 

5 

6 

46 

118 

7 


21 

7 

13 

29 

6 

40 

I 

125 

I 

3 

25 

6 

2 

6 

23 

9 

3 

13 

13 

11 

21 

7 

14 

3 

5 

4 

3 


3 
1 
4 

50 
2 
5 

10 

7 

104 

58 

16 
2 

10 

13 
4 

15 


67 

45 

9 

2 

15 

2 

8 

1 

23 

8 

34 

13 

3 

J55 

71 

70 

9 

3 

7 

2 

18 

5 

31 

9 

14 

1 

14 
1 

4 

7 

2 

3 

19 

2 

6 

2 

13 

4 

10 

2 

4 

1 

5 

1 

42 

4 

99 

19 

6 

1 

16 

5 

6 

1 

8 

5 

25 

4 

6 

28 
1 

12 

92 
1 

33 

3 

21 

4 

5 

1 

■> 

5 

1 

17 

6 

5 

4 

2 

1 

8 

5 

11 

2 

9 

2 

16 

5 

6 

1 

10 

4 

3 

4 

1 

4 

3 

351 


Table  78.— Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1991 — Continued 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


VERMONT— Continued 

Rutland   

St,  Albans    

St.  Johnsbury  

Shelburne   

South  Burlington   

Springfield   

Stowe    

Swanton    

Vergennes  

Vernon    

Waterbury    

Weathersfield   

Wilmington  

Windsor    

Wmhall    

Winooski    

Woodstock  

VIRGINIA 

Abingdon    

Alexandria   

AltaVista   

Amherst    

Appalachia  

Arlington    

Ashland   

Bedford   

Berryville    

Big  Stone  Gap    

Blacksburg  

Blackstone   

Bluefield   

Bowling  Green    

Bridgewater  

Bristol    

Brookneal  

Buchanan   

Buena  Vista    

Burkeville  

Cape  Charles   

Cedar  Bluff  

Charlottesville    

Chase  City    

Chatham  

Chesapeake    

Chilhowie  

Chincoteague    

Chrisliansburg   

Clarksville    

Clifton  Forge  

Clintwood    

Coebum    

Colonial  Beach   

Colonial  Heights    

Courtland  

Covington    

Crewe  

Culpeper  

Damascus  

Danville    

Dayton  

Dublin   

Dumfries    

Edinburg  

Elkton    

Emporia    

Exmore    

Fairfax  City    

Falls  Church    

Farmville    

Franklin    

Fredericksburg  

Fries    

From  Royal    


VIRGINIA— Continued 


18 

359 

15 

4 

7 

389 

18 

26 

8 

20 

61 

16 

14 

1 

5 

56 

3 

1 

16 

3 

4 

2 

120 

11 

3 

322 

6 

10 

35 

8 

13 

2 

8 

II 

48 

3 

21 

5 

31 

4 

114 

3 

8 

7 

2 

9 

26 

3 

74 

40 

22 

29 

76 

1 

35 


16 

255 

II 

4 

6 

312 

17 

19 

7 

13 

46 

12 

10 

1 

5 

44 

3 

1 

12 

3 

4 

2 

100 
7 
3 
259 
6 
8 

27 
5 

10 
2 
7 
7 

37 

15 
5 
23 
4 
100 
2 
7 
6 
2 
5 

19 
3 
59 
30 
15 
21 
54 
1 
28 


104 
4 


Galax    

Gate  City  

Glade  Springs    .. 

Glen  Lyn    

Gordonsville  

Gretna    

Grottoes    

Grundy    

Halifax  

Hampton    

Harrisonburg    ... 

Haysi    

Hemdon   

Hillsville  

Honaker    

Hopewell    

Hurt    

Independence  ... 

Iron  Gate  

Jonesville    

Kenbridge    

Kilmarnock   

La  Crosse  

Lawrenceville  ... 

Lebanon    

Leesburg   

Lexington   

Louisa    

Luray    

Lynchburg    

Manassas    

Manassas  Park    . 

Marion  

Martinsville  

McKenney   

Middleburg   

Middletown  

Mount  Jackson   . 

Narrows    

New  Market  

Newport  News  . 

Norfolk    

Norton  

Onancock  

Onley    

Orange  

Parksley  

Pearisburg    

Pembroke  

Pennington  Gap 

Petersburg    

Pocahontas    

Poquoson   

Portsmouth   

Pound    

Pulaski  

Purcellville  

Quantico  

Radford  

Rich  Creek    

Richlands  

Richmond    

Roanoke    

Rocky  Mount    .. 
Rural  Retreat  ... 

St.  Paul  

Salem   

Saltville  

Shenandoah  

Smithfield    

South  Boston   . . . 

South  Hill    

Stanley  

Staunton   

Stephens  City    .. 


26 

20 

3 

3 

3 

3 

5 

5 

3 

3 

2 

2 

2 

2 

4 

4 

291 

198 

58 

44 

44 

35 

5 

5 

3 

3 

54 

42 

3 

3 

2 

2 

3 

3 

5 

5 

4 

4 

5 

5 

7 

7 

37 

33 

19 

14 

2 

2 

12 

II 

186 

144 

82 

54 

23 

15 

21 

17 

57 

51 

3 

3 

3 

3 

5 

5 

3 

3 

327 

264 

762 

676 

18 

13 

4 

4 

11 

10 

.1 

3 

6 

6 

8 

4 

159 

110 

3 

3 

21 

16 

277 

208 

4 

4 

31 

24 

6 

6 

7 

7 

35 

26 

21 

15 

705 

639 

288 

247 

11 

M 

6 

6 

75 

56 

6 

6 

4 

4 

15 

9 

20 

16 

21 

16 

3 

3 

59 

44 

2 

2 

352 


Table  78. — Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1991 — Continued 


City 


Total 

police 

emplovees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


VIRGINIA— Continued 


WASHINGTON— Continued 


Strasburg    

Suffolk   

Tappafiannock 

Tazewell    

Urbanna   

Victoria  

Vienna  

Vinton    

Virginia  Beach 

Warrenton    

Warsaw   

Waverly  

Waynesboro  . . , 
Weber  City  .... 
Williamsburg    .. 

Winchester 

Wise   

Woodstock  

Wytheville   


WASHINGTON 


Aberdeen 

Algona 

Arlington 

Auburn 

Battle  Ground 

Betlevue 

Bellingham 

Black  Diamond 

Bonney  Lake 

Bothell 

Bremerton    

Brewster    

Brier   

Buckley    

Burlington    

Camas    

Carnation   

Castle  Rock    

Centralia  

Chchalis    

Chelan   

Cheney    

Chewelah    

City  of  Normandy  Park 

Clarkston    

Cle  Elum    

Clyde  Hill    

Colfax    

College  Place   

Colville    

Connell    

Cosmopolis   

Coulee  Dam  

Davenport    

Dayton  

Des  Moines    

East  Wenatchee    

Eatonville  

Edmonds    

Eilensburg    

Elma   

Enumclaw    

Ephrata    

Everett  

Femdale    

Fife    

Fircrest    

Forks    

Gig  Harbor  

Goldendale    

Grand  Coulee    

Grandview  

Hoquiam    


14 
117 

5 
II 

I 

4 

49 

25 

808 

23 

2 

6 
50 

2 
39 
66 
12 
12 
31 


49 

7 

1  1 

89 

9 

215 

133 

6 

18 

32 

72 

7 

9 

15 

20 

19 

4 

5 

29 

21 

10 

13 

5 

12 

15 

6 

8 

5 

11 

10 

7 

6 

2 

2 

6 

32 

II 

5 

52 

24 

8 

26 

15 

181 

13 

22 

8 

12 

10 

6 

3 

19 

27 


9 
92 

5 
10 

1 

4 

38 

17 

596 

18 

2 

6 
46 


36 

6 

10 

66 

8 

144 

85 

5 

13 

21 

56 

6 

7 

7 

15 

15 

4 

4 

25 

|7 

9 

I  I 

4 

I  I 

12 

5 

7 

5 

7 

9 

6 

5 

2 

2 

4 

21 

9 

5 

39 

19 

4 

16 

8 

138 

10 

14 

7 

7 

9 

6 

3 

14 
20 


212 
5 


13 


23 


16 


Issaquah    

Kalama   

Kelso    

Kennewick  

Kent    

Kettle  Falls  

Kirkland   

Lacey    

La  Conner  

Lake  Forest  Park 

Lake  Stevens    

Long  Beach  

Longview    

Lummi  Tribal   

Lynden    

Lynnwood    

Mablon    

Marysville    

McCleary    

Medina    

Mercer  Island    

Mill  Creek  

Milton    

Monroe   

Montesano  

Morton    

Moses  Lake    

Mossyrock    

Mountlake  Terrace 

Mount  Vernon    

Mukilteo  

Napavine    

Newport    

Oak  Harbor    

Ocean  Shores  

Odessa   

Olympia    

Omak   

OroviUe  

Othello  

Pacific    

Palouse   

Pasco    

Pe  Ell  

Pomeroy   

Port  Angeles  

Port  Orchard   

Port  Townsend   

Poulsbo   

Prosser  

Pullman  

Puyallup    

Quincy  

Raymond    

Redmond   

Renton  

Republic   

Richland  

Ridgefield  

Ritzville    

Ruston  

Seattle    

Selah  

Sequim    

Shelton    

Snohomish  

Snoqualmie  

South  Bend  

Spokane    

Sprague   

Stanwood   

Steilacoom  

Sultan  

Sumner   

Sunnyside  


26 

17 

4 

4 

29 

23 

67 

53 

124 

80 

4 

4 

73 

53 

37 

31 

4 

4 

10 

6 

5 

5 

6 

6 

52 

46 

18 

14 

9 

8 

56 

46 

3 

3 

36 

22 

5 

5 

9 

7 

39 

30 

16 

13 

10 

9 

18 

15 

9 

7 

3 

3 

32 

22 

34 

29 

40 

29 

22 

18 

3 

2 

4 

4 

34 

20 

12 

8 

2 

2 

82 

63 

11 

9 

10 

5 

14 

11 

8 

6 

48 

38 

3 

3 

46 

27 

12 

11 

II 

10 

15 

12 

14 

9 

32 

22 

57 

43 

9 

7 

7 

5 

68 

53 

107 

78 

2 

2 

50 

44 

3 

3 

3 

3 

1.689 

1.228 

10 

8 

14 

9 

29 

18 

18 

16 

7 

6 

4 

3 

344 

255 

8 

7 

11 

9 

4 

3 

21 

14 

26 

19 

353 


Table  78. — Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1991 — Continued 


City 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


WASHINGTON— Continued 

Tacoma  

Toledo   

Tonasket  

Toppenish    

Tukwila  

Tumwaler  

Twisp   

Union  Gap   

Vader 

Vancouver   

Walla  Walla   

Wapato    

Washougal   

Wenatchee  

Westport 

West  Richland    

White  Salmon   

Wilbur   

Winiock  

Winlhrop    

Woodland    

Yakima    

Zillah    

WEST  VIRGINIA 

Alderson   

Anmoore  

Ansted   

Barboursville    

Beckley    

Belington    

Belle    

Benwood  

Bethlehem    

Bluefield    

Bridgeport    

Buckhannon   

Cameron  

Cedar  Grove    

Ceredo  

Chapmanville  

Charleston    

Charles  Town    

Chesapeake    

Chester    

Clarksburg   

Clendenin  

Danville    

Delbarton  

Dunbar    

Elkins   

Fairmont    

Fayetteville    

Follansbee    

Fort  Gay    

Gauley  Bridge  

Glen  Dale    

GlenviUe  

Grafton    

Grantsville  

Granville    

Harpers  Ferry-Bolivar  

Harrisville    

Hinton   ^ 

Huntington    

Hurricane  

Kenova    

Kermit   

Keyser   

Kimball   

Kingwood  

Lewisburg  

Logan   

I.umberport  


WEST  VIRGINIA— Continued 


395 

3 

4 

20 

68 

2! 

5 

16 

1 

97 

57 

2! 

7 

48 

II 

9 

4 

2 

2 

2 

5 

138 

4 


3 
1 

4 

12 

56 

2 

4 

8 

3 

32 

17 

8 

4 

3 

9 

4 

173 

II 

4 

5 

42 

4 

3 

2 

18 

15 

36 

4 

6 

2 

I 

5 

5 

9 

2 

4 

3 

1 

5 

109 

12 

14 

2 

13 

2 

3 


356 
3 


39 


4 

14 

6 

56 

12 

19 

2 

4 

1 

12 
1 

4 

81 

16 

38 

19 

15 

6 

6 

1 

34 

14 

7 

4 

8 

1 

4 

7 

7 

7 

5 

104 

34 

3 

1 

3 

1 

3 

1 

11 

1 

40 

16 

7 

4 

4 

4 

3 

27 

5 

15 

2 

7 

1 

4 

3 

5 

4 

4 

152 

21 

9 

2 

4 

5 

35 

7 

4 

3 

7 

13 

5 

9 

6 

28 

8 

3 

1 

6 

7 

1 

5 

5 

5 

4 

4 

3 

1 

5 

101 

8 

8 

4 

13 

1 

7 

8 

5 

7 

3 

7 

1 

6 

2 

7 

Mabscott  

Madison    

Man    

Mannington    

Marlinton  

Marmet   

Martinsburg    

Mason    

Matewan  

McMechen  

Middleboume    

Mill  Creek  

Milton    

Monongah    

Montgomery  

Moorefield  

Morgantown   

Moundsville    

Mount  Hope    

Mullens   

New  Cumberland    

New  Haven    

New  Martinsville  

Nitro  

North  Fork  

Nutter  Foil  

Oak  Hill   

Oceana  

Paden  City    

Parkersburg  

Parsons    

Pennsboro    

Petersburg    

Philippi   

Piedmont    

Pineville    

Poca    

Point  Pleasant  

Princeton    

Rainelle  

Ranson    

Ravenswood   

Reedsville  

Richwood  

Ripley    

Romney    

Ronceverte    

St.  Albans    

St.  Marys   

Salem    

Shepherdslown    

Shinnston   

Sistersville    

Smithers    

Sophia    

South  Charleston  

Spencer    

Star  City    

Stonewood 

Summersville   

Sutton    

Vienna  

War  

Wayne    

Weirton  

Welch  

Wellsburg  

Weston    

Westover    

Wheeling  

White  Sulphur  Springs 

Whitesville  

Williamson    

Williamstown  


5 
6 
4 
5 
2 
4 

43 
3 
I 

4 
1 
1 
3 
1 

13 
4 

62 

16 
4 
4 
3 
2 

15 

14 
4 
5 

13 
5 
8 

73 
2 
1 
3 
5 
2 
4 
I 
9 

27 
4 
9 

11 
1 
5 
8 
4 
3 

23 
8 
4 
5 
4 
3 
3 
4 

31 
9 
5 
2 

12 
3 

19 
3 
2 

40 

14 
7 
8 
8 

81 
6 
2 
9 
5 


5  . 
5 
3 

5  , 
1 

4  . 
36 
2 

1  . 
4  , 
1  . 
1  . 

3  . 

1  , 
9 
4 

50 
14 

4  . 
4  , 

3  , 

2  . 
10 
11 

4  . 

5  . 
9 

5  . 
4 
59 

2  , 

1  . 

3  , 
5  . 

2  . 

4  . 
1  . 
8 

21 

4  . 
8 

7 

1  . 

5  . 
7 

3 

3  . 
16 

4 

4  . 
4 

4  . 
3  . 

3  . 

4  . 
29 

5 

5  . 

2  . 
11 

3  . 
12 

,  3  . 

'  1 

34 

10 

6 

6 

7 

79 

6  . 
2  . 
6 

4 


354 


Table  78. — Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1991 — Continued 


City 

Total 

police 

employees 

Total 
ofTicers 

Total 
civilians 

C.ty 

Total 

police 

employees 

Total 
otTicers 

Total 
civilians 

WISCONSIN 

Adams   

3 
6 

18 

112 

4 

23 

36 

23 

5 

19 

3ft 

100 

10 

16 

8 

7 

4 

11 

83 

6 

34 

27 

7 

10 

30 

26 

8 

6 

34 

4 

11 

11 

4 

7 

2 

4 

3 

47 

4 

8 

10 

17 

5 

31 

10 

4 

7 

109 

10 

1 

12 

22 

3 

9 

25 

72 

23 

2 

21 

41 

31 

48 

25 

223 

32 

77 

20 

7 

23 

13 

5 

5 

11 

15 

3 

6 

8 

17 

90 

4 

19 

32 

20 

5 

14 

27 

73 

9 

12 

8 

6 

4 

7 

62 

6 

26 

23 

6 

8 

24 

18 

8 

6 

25 

4 

II 

7 

4 

4 

■> 

4 

3 

34 

4 

7 

9 

13 

5 

25 

9 

4 

6 

82 

9 

1 

10 

17 

3 

6 

19 

60 

18 

1 

16 

31 

23 

40 

19 

176 

25 

53 

16 

6 

16 

12 

4 

5 

9 

13 

WISCONSIN— ConHnued 

Hurley     .... 

5 

3 

100 

14 

3 

19 

174 

4 

6 

10 

9 

109 

8 

10 

21 

6 

7 

14 

5 

382 

69 

28 

49 

8 

9 

9 

8 

34 

19 

70 

37 

47 

25 

31 

6 

2,350 

13 

4 

21 

32 

7 

6 

30 

15 

35 

49 

6 

76 

4 

6 

2 

16 

10 

9 

48 

28 

10 

8 

5 

21 

9 

2 

96 

4 

7 

5 

15 

5 

23 

15 

10 

12 

26 

20 

15 

5 

3 

75 

12 

3 

18 

162 

4 

6 

5 

8 

88 

7 

9 

16 

6 

6 

12 

4 

325 

60 

21 

37 

7 

8 

8 

7 

29 

16 

54 

25 

35 

21 

25 

6 

1.895 

8 

4 

18 

24 

6 

6 

22 

10 

26 

41 

5 

59 

4 

6 

2 

16 

9 

7 

40 

22 

9 

8 

5 

19 

8 

1 

84 

3 

6 

5 

13 
5 

18 
15 
9 
II 
20 
15 
10 

Algoma    

Jackson    

1 

1 

22 

25 

Aniigo    

2 

Appleton  

1 

Ashland  

4 
4 
3 

12 

Ashwaubenon  

Kewaskum   

Baraboo 

Kiel    

5 

Bavside    

5 
9 

27 
1 
4 

1 

21 

Beloit    

1 

Berlin    

5 

Lake  Mills         

Bloomer    

1 

1 

2 

Brodhead    

4 
21 

Lodi    

1 

Brookfield    

57 

9 

8 
4 

1 

2 
6 
8 

7 

12 

1 

Sutler  

Taledonia  

I 

Medford       

, 

5 

3 

9 

16 

p 

12 

"olumbus  

4 

Merrill    

4 

6 

"ornell  

3 

Milton 

455 

^ross  Plains   

Minocqua         

5 

^udahy    

13 

Monona 

3 

8 

1 
1 
4 

I 

Jelafield  

Mount  Horeb    

)elavan                     

Mount  Pleasant    

Mukwonago    

g 

5 

)e  Pere    

6 
1 

9 

Neenah    

Neillsville 

g 

)urand       

iasl  Troy  

1 

27 

1 

New  Berlin    

17 

New  Glarus    

New  Holstein  

^Ikhom   

2 
5 

New  London        .  .  ..; 

1 

North  Fond  du  Lac      

2 

3 
6 

12 
5 
1 
5 

10 
8 
8 

Oak  Creek  

g 

itchburg    

6 

Oconto  

Oconto  Falls  

Onalaska  

Oregon  

Orfordville  

Oshkosh       

ox  Lake   

ox  Point    

2 

ranklin    

I 

'lendale   

1 1 

-reen  Bay 

Park  Falls 

J ' 

Peshtigo    

Tcenfield   ..                                        

Pewaukee  

Phillips    

2 

allie   

Plalteville  

Pleasant  Prairie          

5 

artford   

artland   

Plover  

Plymouth    

Portage    

1 

6 

oricon  

2 

5 

udson    

Prairie  du  Chien    

5 

355 


Table  78. — Number  of  Full-time  Law  Enforcement  Employees,  Cities,  October  31,  1991 — Continued 


City 


Total 

police 

employees 


Toial 
officers 


Total 
civilians 


City 


Total 

police 

employees 


Total 
officers 


WISCONSIN— Continued 

Prescott  

Pulaski  

Racine    

Reedsburg    

Rhinelander    

Rice  Lake    

Richland  Center  

Ripon   

River  Falls    

River  Hills    

Rome  Town   

Rothschild   

St.  Croix  Falls    

St.  Francis  

Sauk  Prairie   

Saukville  

Schofield  

Shawano   

Sheboygan    

Sheboygan  Falls   

Shorewood  

Shorewood  Hills  

Slinger    

Somerset  

South  Milwaukee  

Sparta  

Spooner  

Spring  Green    

Stanley  

Stevens  Point  

Stoughton  

Strum   

Sturgeon  Bay   

Slurtevant    

Summit 

Sun  Prairie    

Superior    

Thiensville  

Tomah   

Tomahawk  

Town  of  East  Troy    

Town  of  Madison  

Twin  Lakes  

Two  Rivers  

Verona  

Viroqua   

Washburn  

Waterloo  

Walertown  

Waukesha  

W'aunakee    

Waupaca  

Waupun    

Wausau   

Wauwatosa    

West  Allis    


6 

6 

279 

15 

25 

22 

12 

17 

19 

13 

4 

6 

3 

20 

U 

7 

7 

23 

109 

8 

31 

7 

I 

4 

32 

18 

6 

3 

4 

50 

18 

1 

18 

10 

6 

35 

59 

7 

22 

7 

7 

17 

10 

29 

11 

12 

5 

5 

41 

127 

8 

15 

21 

64 

111 

153 


5 

6 

204 

11 

17 

16 

10 

12 

16 

13 

4 

6 

3 

19 

10 

6 

6 

18 

83 

8 

26 

6 

1 

3 

31 

13 

5 

3 

4 

39 

18 

1 

17 

8 

6 

25 

55 

6 

16 

6 

6 

15 

6 

24 

10 

8 

5 

5 

33 

95 

7 

11 

14 

53 

79 

130 


WISCONSIN— Continued 

West  Bend  

West  Milwaukee    

Weston    

West  Salem  : 

Whitefish  Bay    

Whitehall    

Whitewater    

Williams  Bay   

Wisconsin  Dells   

Wisconsin  Rapids    

WYOMING 

Afton    

Basin  

Buffalo  

Casper    

Cheyenne  

Cody  

Cokeville    

Diamondviile   

Douglas  

Encampment    

Evanston  

Evansville  

Gillette    

Glenrock  

Green  River  

Greybull    

Guernsey    

Hanna    

Jackson    

Kemmerer   

Lander  

Laramie  

Lovell   

Lusk    

Lyman    

Medicine  Bow  

Mills   

Moorcroft  

Newcastle  

Pine  Bluffs    

Powell    

Rawlins   

Riverton    

Rock  Springs    

Saratoga    

Sheridan    

Sundance    

Thermopolis   

Torrington   

Upton  

Wheatland    

Worland    


44 
20 
13 

4 
22 

3 
23 

5 

14 
38 


4 
3 
9 

69 

78 

13 
1 
3 

13 
1 

23 
6 

36 
5 

26 
4 
4 
2 

16 
8 

15 

40 
4 
3 
7 
I 

6 
3 
7 
2 

II 

20 

20 

29 

4 

25 

4 

9 

13 

4 

9 

II 


356 


lable  79. — Number  of  Full-time  Law  Enforcement  Employees,  llniversltles  and  Colleges,  October  31,  1991 


Universiiy/CoUege 


ALABAMA 


Alabama  Stale  University 

Auburn  University: 

Mam  Campus    

Montgomery    

Enterprise  State  Junior  College 
Jaekson\ilk'  Stale  University    .. 

Livingston  State  University  

Troy  State  University  

University  of  Alabama; 

Birmmgham 

Hunlsville   

Tuscaloosa    

University  of  Monlevallo  

University  of  South  Alabama    .. 

ARIZONA 


An/ona  State  University    

Arizona  Western  College    

Northern  Arizona  University 
Pima  Community  College    ... 

University  of  Arizona  

Yavapai  College   


ARKANSAS 

University  of  Arkansas; 

FayelteMlle  

Little  Roek     

Medical  Science    

Pine  Bluff  

University  of  Central  Arkansas 


CALIFORNIA 


Cabrillo  College    

California  State  Polytechnic  University; 

Pomona    

San  Luis  Obispo  

California  Stale  College.  Bakersfield    

California  State  University; 

Chico  

Dominguez  Hills     

Fresno  

Fullerton    

Hayward    

Long  Beach    

Los  Angeles  

Northridge    

Sacramento    

San  Bernardino   

San  Diego  

San  Jose    

Stanislaus    

College  of  the  Sequoias  

Contra  Costa  College    

Foothill  College    

Fresno  City  College  

Humboldt  State  University   

Marin  Community  College    

(Merced  College  

•Pasadena  City  College   

Ian  Francisco  Slate  University  

San  Jose/Evergreen  Valley  Community  College 

District    

ianta  Rosa  Junior  College    

noma  State  University    

University  of  California; 

Berkeley  

Davis  

Irvine    


Total 

police 

employees 


Total 
officers 


27 
29 
14 

14 
14 
27 
20 
16 
24 
35 

I. 5 

a 

55 
16 

4 
26 

7 
1.1 
15 

4 

.3 
19 
28 

18 
8 
17 

91 
80 
59 


Total 
civilians 


14 
10 

10 

10 

17 

1.1 

12 

18 

19 

18 

1.1 

10 

2.1 

26 

9 

1 

21 

6 

1 1 

10 

9 

") 

9 
16 

8 
7 
9 

6.1 

47 
25 


10 


University/College 


CALIFORNIA— Continued 


Lawrence  Berkeley  Laboratory   . . 
Lawrence  Livermore  Laboratory 

Los  Angeles  

Riverside  

San  Diego  

San  Francisco  Medical  School   .. 

Santa  Barbara    

Santa  Cruz  

West  Valley  College  


COLORADO 


Adams  State  College   

Arapahoe  Community  College   

Auraria  Higher  Education  Center 

Colorado  School  of  Mines  

Colorado  Stale  University 

Red  Rocks  Community  College   .. 
University  of  Colorado; 

Boulder    

Colorado  Springs    

Health  Sciences  

University  of  Denver    

University  of  Northern  Colorado 
University  of  Southern  Colorado 


CONNECTICUT 

Central  Connecticut  State  University  . 
Eastern  Connecticut  State  University  . 
Southern  Connecticut  State  University 
University  of  Connecticut; 

Avery  Point   

Health  Center    

Storrs  

Western  Connecticut  State  University    , 
Yale  University    


DELAWARE 


University  of  Delaware 


FLORIDA 


Florida  A&M   University    

Florida  Atlantic  University   

Florida  International  University 
Florida  State  University; 

Panama  City 

Tallahassee  

University  of  Central  Florida    .. 

University  of  FLorida    

University  of  North  Florida   

University  of  South  Florida; 

St.  Petersburg  

Sarasota   

Tampa    

University  of  West  Florida   


GEORGIA 


Agnes  Scott  College   

Abraham  Baldwin  College   

Albany  State  College   

.Armstrong  State  College   

Augusta  College    

Cherokee  College  

Clayton  State  College   

Dalton  College    

Georgia  College    

Georgia  Institute  of  Technology 


Total 

police 

employees 


14 
250 
81 
22 
50 
72 
36 
25 
9 


Total 
officers 


51 
39 
118 
23 

12 
13 
59 
25 


14 

9 

1 

63 

7 

47 

27 

26 

5 

26 

6 

31 

13 

■) 

41 

10 

27 

12 

72 

46 

19 

4 

10 

2 

II 

2 

40 

19 

15 

10 

7 

1 

9 

-) 

12 

4 

9 

1 

14 

1 

T 

10 

2 

5 

8 

3 

27 

5 

357 


Table  79. — Number  of  Full-time  Law  Enforcement  Employees,  Universities  and  Colleges,  October  31,  1991 — Continued 


Univcrsily/College 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


University/College 


Total 

police 

employees 


Total 

officers 


GEORGIA— Continued 


Georgia  Southern  University    . 
Georgia  Southwestern  College 

Georgia  State  University    

Kcnnesaw  College  

Mercer  University  

North  Georgia  College  

Savannah  Stale  College   

South  Georgia  College   

Southern  Technical  Insitule    .. 

Valdosta  State  College   

West  Georgia  College  

Wesleyan  College  


ILLINOIS 


Black  Hawk  College    

Bradley  University    

Chicago  State  University    

College  of  DuPage    

College  of  Lake  County    

Eastern  Illinois  University   

Governors  Slate  University  

Illinois  Institute  of  Technology  . 

Illinois  State  University    

John  A.   Logan  College    

Joliet  Junior  College   

Loyola  Medical  Center    

Loyola  University  of  Chicago    .. 
McKendree  College  Security  — 

Morton  College  

Northeastern  Illinois  University 

Northern  Illinois  University    

Oakton  Community  College   

Rock  Valley  College    

Sangamon  State  University   

Southern  Illinois  University: 

Carbondale  

Edwardsvilie    

South  Suburban  College    

Triton  College   

University  of  Chicago    

University  of  Illinois: 

Chicago    

Urbana   

Waubonsee  College    

Western  Illinois  University    

William  Rainey  Harper  College 


INDIANA 


Ball  Slate  University 
Indiana  University: 

Bloomington    

Gary     

Indianapolis  

New  Albany    

Purdue  University    . . 


IOWA 


Iowa  State  University  

University  of  Iowa  

University  of  Northern  Iowa   . 

KANSAS 


Emporia  State  University  

Fort  Hays  State  University   

Kansas  State  University.  Manhattan 

Pittsburg  State  University    

University  of  Kansas: 


57 


35 


KANSAS— Continued 

Lawrence  

Medical  Center    

Wichita  State  University    

KENTUCKY 

Eastern  Kentucky  University    

Jefferson  Community  College    

Kentucky  Stale  University  

Morehead  State  University    

Murray  State  University   

Northern  Kentucky  University    

University  of  Kentucky  

University  of  Louisville  

Western  Kentucky  University    

LOUISIANA 

Louisiana  Slate  University: 

Baton  Rouge  

Louisiana  Tech,  University   

McNeese  State  University    

Nichols  State  University  

Northeast  Louisiana  University    

Southeastern  Louisiana  University    ... 
Southern  University.  Baton  Rouge  ... 

MAINE 

University  of  Maine: 

Farmington    

Orono   

University  of  Southern  Maine  

MARYLAND 

Bowie  Stale  University    

Coppin  State  University   

Froslburg  Stale  University  

Morgan  State  University  

Saint  Mary's  College  

Salisbury  State  University    

Towson  Slate  University    

University  of  Baltimore    

University  of  Maryland: 

Baltimore  City  

Baltimore  County    

College  Park    

Eastern  Shore  

MASSACHUSETTS 

Boston  College    

Boston  University   

Brandeis  University   

Emerson  College    

Framingham  Slate  College  

Massachusetts  Institute  of  Technology 

North  Adams  State  College    

Northeastern  University    

Salem  Slate  College   

Wentwonh  Institute  of  Technology    .. 

MICHIGAN 

Central  Michigan  University    

Delta  College   

Eastern  Michigan  University    

Ferns  State  University  

Grand  Valley  Stale  University    

Hope  College   


17 

12 

14 

7 

21 

17 

39 

32 

9 

4 

19 

17 

41 

32 

26 

11 

103 

55 

29 

21 

81 

71 

17 

14 

48 

45 

47 

45 

23 

22 

13 

II 

14 

1 1 

77 

54 

10 

9 

76 

47 

15 

13 

27 

10 

358 


lable  79. — Number  of  Full-time  Law  Enforcement  Employees,  Universities  and  Colleges,  October  31,   1991 — Continued 


L'niNcrsity/College 


Toial 

police 

:mployces 


Total 
olTicer; 


Total 
■|\  ilians 


University/College 


Total 

police 

employees 


Total 
officers 


MICHIGAN— Continued 


Lansing  Community  College  

Macomb  Community  College  

Michigan  Stale  University   

Michigan  Technological  University 
Northern  Michigan  University    .... 

Oakland  Community  College   

Oakland  L'niversily    

Saginau  Valley  State  University  .. 
Uni\ersit>  of  Michigan: 

.Ann  Arbor  

Flint  

Western  Michigan  University    


MINNESOTA 


University  of  Minnesota  

MISSISSIPPI 


Mississippi  State  University 
University  of  Mississippi: 

Jackson    

Oxford    


MISSOURI 

Central  Missouri  State  University 

Lincoln  University    

University  of  Missouri; 

Columbia    

St.  Louis   

Washington  University  


MONTANA 


Montana  Slate  University 
Universitv  of  Montana    ... 


NEBRASKA 


University  of  Nebraska: 

Kearney   

Lincoln  


NEVADA 


L'niversity  of  Nevada: 
Reno    


NEW  HAMPSHIRE 

University  of  New  Hampshire    

NEW  JERSEY 


Brookdale  Community  College    

Burlington  County  College    

Essex  County  College   

Glassboro  State  College  

Kcan  College    

Middlesex  County  College  

Monmouth  College  

Montclair  State  College  

New  Jersey  Institute  of  Technology  ... 
Rutgers  University: 

Camden    

Newark  

New   Brunswick 

Stockton  State  College   

Trenton  State  College  

University  of  Medicine  and  Dentistry: 


38 


18 
15 
44 
24 
32 
15 
15 
23 
63 

31 
42 
119 
20 

24 


37 


24 


10 


16 


NEW  JERSEY— Continued 


Camden    

Newark  

Piscataway    

William  Paterson  College 


NEW  MEXICO 


Eastern  New  Me.xico  University 
New  Mexico  State  University    ... 

University  of  New  Mexico    

Western  New  Mexico  University 


NEW   YORK 


Cornell  University    

Ithaca  College    

State  University  of  New  York: 

Albany    

Binghamton 

BulTalo   

Health  Science  Center.  Brooklyn    

Maritime  College    

Stony  Brook    

Upstate  Medical  Center  

State  University  of  New  York  Agricultural  and 
Technical  College: 

Alfred    

Canton    

Cobleskill    

Delhi    

Farm  ingdale  

Morrisville    

State  University  of  New  York  College: 

Brockpon    

Buffalo    

Cortland 

Environmental  Science  And  Forestry  

Fredonia    

Geneseo  

New  Paltz  

Old  Westbury  

Oneonta  

Optometry    

Oswego  

Pittsburgh  

Potsdam  

Purchase    

Utica-Rome  


NORTH  CAROLINA 


Appalachian  State  University  

Davidson  College    

East  Carolina  University    

Elizabeth  City  State  University    

Fayetteville  State  University  

North  Carolina  A&T  Stale  University. 

Greensboro   

North  Carolina  Central  University.  Durham 

North  Carolina  State  University.  Raleigh  

Pembroke  State    

Queens  College  

University  of  North  Carolina: 

Asheville    

Chapel  Hill    

Charlotte   

Greensboro    

Wilmington    

West  Carolina  University  

Winston-Salem  State  University  


15 

112 

39 

41 


53 
25 

42 
35 
62 
110 
12 
85 
49 


II 
50 
37 
25 


6 
17 
26 

6 


43 
15 

33 
24 
56 


65 


13 
10 
8 
10 
19 
11 

19 
28 
17 
12 
14 
17 
20 
20 
20 
3 
22 
13 
11 
15 
13 


17 
9 
31 
10 
13 

24 

12 

36 

9 

5 


32 
24 
22 
16 
13 
9 


359 


Table  79. — Number  of  Full-time  Law  Enforcement  Employees,  Universities  and  Colleges,  October  31,  1991 — Continued 


University/College 


Total 

police 

employees 


Total 
ofTicers 


Total 
civilians 


University/College 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


NORTH   DAKOTA 

University  of  North  Dakota  

OHIO 

Baldwin-Wallace  College   

Bo\^ling  Green  Stale  University  

Cleveland  State  University    

Cuyahoga  Community  College    

Kent  State  University  

Lakeland  Community  College    

Miami  University    

Ohio  Stale  University    

Ohio  University   

University  of  Akron    

University  of  Cincinnati  

University  of  Toledo    

Wright  State  University    

Youngstown  State  University  

OKLAHOMA 

Cameron  University    

Northeastern  Oklahoma  State  University 
Oklahoma  State  University: 

Main  Campus    

Okmulgee    

Tulsa  Junior  College  

Southeastern  State  College  

University  of  Central  Oklahoma    

University  of  Oklahoma: 

Health  Science  Center  

Norman    

PENNSYLVANIA 

Bloomsburg  University  

California  University    

Cheyney  University    

Clarion  University    

East  Stroudsburg  University   

Edinboro  University    

Elizabethtown  College  

Indiana  University    

Kulztown  University  

Lehigh  University    

Lincoln  University    

Lock  Haven  University   

Mansfield  University  

Millersvillc  LiniversJly    

Mora\  lan  College    

Pennsylvania  State  University: 

Altoona  Campus  

Behrend  College    

Capital  Campus    

University  Park  

Shippensburg  University   

Slippery  Rock  University   

University  of  Pittsburgh.  Bradford   

West  Chester  University   

RHODE  ISLAND 

University  of  Rhode  Island    

SOUTH  CAROLINA 

Clemson  University   

Francis  Marion  College  

Lander  College    

Medical  University  of  South  Carolina  .. 
South  Carolina  State  College   


40 


10 


10 

8 

1 

29 

19 

10 

40 

32 

8 

33 

30 

3 

41 

30 

II 

9 

5 

4 

42 

35 

7 

67 

56 

II 

32 

26 

6 

34 

27 

7 

79 

47 

32 

27 

25 

2 

27 

19 

8 

27 

22 

5 

30 


SOUTH  CAROLINA— Continued 


The  Citadel  

Trident  Technical  College  ... 
University  of  South  Carolina: 

Coastal  Carolina  

Columbia    

Spartanburg   

Winthrop  College    


SOUTH  DAKOTA 

South  Dakota  State  University  

TENNESSEE 


Austin  Peay  State  University  

East  Tennessee  State  University  .. 
Middle  Tennessee  State  University 
University  of  Tennessee; 

Knoxville    

Martin    

Memphis 


46 

10 

8 

124 

37 


TEXAS 


Alamo  Community  College  

Alvin  Community  College   

Amariilo  College    

Angelo  Stale  University    

Austin    

Baylor  University    

Baylor  University  Medical  Center    . 

College  of  the  Mainland  

Corpus  Christi  State  University  

Eastfield  College    

East  Texas  State  University   

Hardin-Simmons  University   

Lamar  University    

Laredo  Junior  College    

McLennan  Community  College    

Midwestern  State  University    

North  Harris  County  College  

North  Lake  College   

Prairie  View  A  &  M  University 

Rice  University    

Richland  College   

Saint  Mary's  University    

Southern  Methodist  University  

South  Plains  College   

Southwestern  University    

Southwest  Texas  State  University  .. 
Stephen  F,  Austin  State  University 

Sul  Ross  State  University    

Tarleton  State  University  

Texas  A  &  M  LIniversity: 

College  Station    

Galveston   

Texas  Arts  &  Industries  University 

Texas  Christian  University    

Texas  College  Osteo.  Med 

Texas  Southern  University    

Texas  State  Technical  Institute: 

Amariilo    

Waco  

Texas  Tech.  University: 

Health  Science  Center  

Lubbock  

Texas  Woman's  University   

Trinity  University  

Tyler  Junior  College   

University  of  Houston: 

Central  Campus    


13 
17 

10 

119 

9 

22 


13 


13 
16 

9 

57 
g 
16 


17 
15 

48 
12 
33 


30 
7 
6 
9 
8 

18 
39 
7 
9 
8 
14 
5 

10 
9 
3 
7 
3 
8 
12 
17 
II 
II 
17 
4 
5 

19 
17 
6 
7 

42 
5 

13 
17 
11 
16 

10 


10 
30 
13 
II 
6 

32 


360 


lable  79. — Number  of  Full-time  LaH  Enforcement  Employees,  Universities  and  Colleges,  October  31,  1991 — Continued 


University/College 


Total 

police 

employees 


Tolal 
otTicers 


Tolal 
civilians 


Universily/College 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


TEXAS — Continued 


Clearlake   

Downtown  Campus    

University  of  North  Texas    

University  of  Texas: 

Arlington  

Austin   

Dallas    

El  Paso    

Galveston    

Health  Science  Center.  San  Antonio 

Health  Science  Center.  Tyler    

Houston 

Pan  American 

Permian  Basin   

San  Antonio    

Southwest  Medical  School    

Tyler    

West  Texas  Slate  University    


UTAH 


Bngham  Young  University   

Salt  Lake  Community  College  ... 

Southern  Utah  State  College    

University  of  Utah  

Utah  State  University    

Utah  Valley  Community  College 
Weber  State  University   


VERMONT 

University  of  Vermont    

VIRGINIA 


Christopher  Newport  College  

College  of  William  &  Mary    

George  Mason  University    

Hampton  University    

James  Madison  University    

Longwood  College  

Mary  Washington  College    

Norfolk  Stale  University  

Northern  Virginia  Community  College 

Old  Dominion  University    

Radford  University    


16 

22 
26 

54 

167 

27 

46 

77 

52 

9 

169 

18 

10 

34 

45 

9 

10 


32 


5 
10 

5 

30 

101 

17 

33 

53 

38 

7 

122 

4 

7 

19 

27 

7 

3 


VIRGINIA— Continued 


Thomas  Nelson  Community  College  

University  of  Richmond   

University  of  Virginia    

Virginia  Commonwealth  University  

Virginia  Military  Institute    

Virginia  Polytechnic  Institute  and  State 

University    

Virginia  State  University    

Virginia  Western  Community  College    .. 


WASHINGTON 

Central  Washington  University  ... 
Eastern  Washington  University  ... 

University  of  Washington    

Washington  State  University    

Western  Washington  University  . . 


WEST  VIRGINIA 


Concord  College    

Glenville  State  College  

Marshall  University   

West  Liberty  Stale  College    . 
West  Virginia  State  College 

West  Virginia  Tech 

West  Virginia  University    ... 


WISCONSIN 


University  of  Wisconsin: 

Eau  Claire    

Green  Bay    

La  Crosse   

Madison  

Milwaukee    

Oshkosh  

Parkside  

Platteville    

Stout    

Superior  

Whitewater  


WYOMING 

University  of  Wyoming  


25 


7 

16 
49 
48 

7 


9 
6 

57 
17 
I  1 


5 

4 
20 

6 
10 

8 
43 


10 
1 

7 

40 

30 

11 

9 

7 

7 

4 

9 


II 
21 


Table  80. — Number  of  Full-time  Law  Enforcement  Employees,  Suburban  Counties,  October  31,  1991 


Couniy  by  Stale 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


County  by  Stale 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


County  by  State 


Total 

police 

employees 


Total 
officers 


ALABAMA 

Autauga  

Baldwin  

Blount    

Calhoun    

Colbert    

Dale    

Elmore  

Etowah    

Houston    

Jefferson   

Lauderdale  

Lawrence    

Madison    

Mobile   

Montgomery   

Morgan    

Russell   

Shelby    

St    ciair    

Tuscaloosa  

Walker  

ARIZONA 

Maricopa    

Pima   

ARKANSAS 

Crawford    

Crittenden 

Faulkner   

Jefferson   

Lonoke    

Miller   

Pulaski   

Saline   

Sebastian    

Washington   

CALIFORNIA 

Alameda   

Butte  

Contra  Costa    

El  Dorado   

Fresno    

Kern    

Los  Angeles    

Marin   

Merced    

Monterey    

Napa  

Orange  

Placer  

Riverside    

Sacramento   

San  Bernardino    ... 

San  Diego    

San  Juaquin    

San  Mateo  

Santa  Barbara    

Santa  Clara  

Santa  Cruz    

Shasta  

Solano    

Sonoma  

Stanislaus  

Sutter   

Tulare    

Ventura  

Yolo    

Yuba  


21 
96 
27 
52 
31 
23 
28 
60 
95 
569 
37 
30 
143 
267 
178 
60 
64 
77 
25 
87 
37 


1.716 
918 


31 
56 
28 
47 
21 
39 
256 
30 
56 
70 


1,252 

171 

948 

261 

468 

895 

7.593 

255 

92 

376 

86 

2,128 

307 

1,879 

1.588 

2,038 

2,373 

633 

472 

307 

539 

136 

233 

388 

296 

369 

112 

423 

945 

202 

64 


20 
43 
16 
24 
19 
I  I 
13 
40 
39 
455 
22 
15 
88 
135 
151 
35 
18 
56 
17 
65 
34 


434 
353 


743 

83 

624 

143 

321 

526 

5,316 

176 

72 

285 

68 

1,221 

204 

1,061 

1,149 

1,327 

1,476 

470 

328 

211 

418 

103 

156 

96 

205 

140 

84 

336 

601 

77 

47 


I 

53 
II 
28 
12 
12 
15 
20 
56 

114 
15 
15 
55 

132 
27 
25 
46 
21 


1,282 
565 


13 

22 

18 
34 

12 

16 

30 

17 

11 

10 

20 

19 

86 

170 

21 

9 

->-> 

34 

38 

32 

509 

88 

324 

118 

147 

369 

2.277 

79 

20 

91 

18 

907 

103 

818 

439 

711 

897 

163 

144 

96 

121 

33 

77 

292 

91 

229 

28 

87 

344 

125 

17 


COLORADO 

.Adams   

Arapahoe    

Boulder    

Douglas 

El  Paso    

Jefferson   

Larimer   

Pueblo    

Weld   

DELAWARE 

New  Castle  Police 
Department  


FLORIDA 


Alachua  ..... 

Bay    

Bradford   

Brevard    

Broward    — 

Clay  

Collier    

Dade  

Escambia    ... 

Gadsden    

Hernando  ... 
Hillsborough 

Lee  

Leon    

Manatee    

Marion  

Martin    

Nassau   

Okaloosa  

Orange  

Osceola    

Palm  Beach 

Pasco    

Pinellas    

Polk  

Santa  Rosa    . 

Sarasota    

Seminole  

St  Johns  ... 
St,  Lucie  — 
Volusia    


GEORGIA 


Barrow  

Bibb    

Bulls  

Catoosa   

Chatham  Police 

Department  .... 
Chattahoochee  . . . 

Cherokee    

Clarke    

Clayton    

Clayton  Police 

Department  

Cobb  Police 

Department  .. . . 

Columbia    

Coweta    

Dade  

De  Kalb    

De  Kalb  Police 

Department  

Dougherty    

Dougherty  Police 

Department  

Douglas  


347 
459 
224 
101 
142 
490 
204 
195 
158 


261 


307 

163 

21 

644 

3,173 
239 
699 

3,571 

456 

43 

197 

2,219 
683 
386 
614 
536 
397 
108 
163 

1 ,260 
351 

1.890 
731 

1.711 
985 
190 
633 
509 
283 
491 
449 


54 

208 

24 

71 

150 
3 
157 
112 
195 

204 

534 
121 
III 
35 
385 

748 
92 

54 
103 


316 
161 

72 
107 
350 
101 
172 

93 


234 


196 
114 

12 
272 
967 
137 
336 
2,539 
296 

26 
129 
829 
297 
173 
260 
194 
179 

50 
115 
874 
166 
847 
289 
680 
375 

88 
292 
204 
113 
182 
293 


27 

182 

15 

45 

121 

2 

131 
98 
165 


388 

109 

44 

15 

309 

648 
89 

54 
80 


125 

143 

63 

29 

35 

140 

103 

23 

65 


III 

49 

9 

372 

2.206 
102 
363 

1,032 

160 

17 

68 

1 .390 
386 
213 
354 
342 
218 
58 
48 
386 
185 

1.043 
442 

1.031 
610 
102 
341 
305 
170 
309 
156 


146 
12 
67 
20 
76 

100 
3 


GEORGIA— Continued 


Effingham    

Fayette  

Forsyth    

Fulton    

Fulton  Police 

Department  ... 

Gwinnett    

Gwinnett  Police 

Department  ... 

Henry  

Henry  Police 

Department  ... 

Houston    

Jackson   

Jones  

Lee  

Madison 

McDutTie    

Muscogee   

Newton    

Oconee    

Paulding   

Peach    

Richmond    

Rockdale  

Spalding    

Walker  

Walton  


IDAHO 


Ada 


ILLINOIS 


Boone  

Champaign    . 

Clinton    

Cook  

Du  Page   — 

Grundy    

Henry  

Jersey  

Kane  

Kankakee   .. 

Kendall    

Lake    

Macon    

Madison    

McHenry    ... 

McLean  

Menard    

Monroe   

Peoria  

Rock  Island 
Sangamon  . 
St.  Clair    .... 

Tazewell   

Will  

Winnebago 
Woodford  . . 


INDIANA 


Allen   

Clark  Police 
Department 

Dearborn    

De  Kalb    

Elkhart   

Hamilton    

Hancock    

Harrison   

Howard  

Madison    


37 

97 

76 

690 

284 
283 

392 
54 

89 

112 

42 

30 

22 

21 

12 

180 

64 

34 

94 

43 

311 

103 

100 

79 

86 


240 


20 

57 
26 

607 

229 
42 
40 
15 

177 
95 
37 

374 

141 
76 

162 
65 
12 
19 

170 
49 

208 
61 
53 

419 

127 
27 


207 

72 
32 
42 
138 
83 
51 
24 
74 
89 


25 

65 

67 

636 

187 
216 

305 
46 

78 
66 
25 
17 
17 
13 
12 

105 
38 
19 
47 
22 

281 
95 
84 
48 
67 


136 


18 
50 
18 

518 

179 

32 

39 

9 

126 
77 
32 

182 
48 
66 

132 
48 
II 
9 
61 
49 
71 
61 
33 

305 

111 
15 


-120 

26 
15 

14 
60 
49 
28 
9 
37 
51 


362 


Table  80. — Number  of  Full-lime  Law  Enforcement  Employees,  Suburban  Counties,  October  31,  1991 — Continued 


Counlv  bv  State 


Total 

police 

cmplo>ees 


Total 
ofTicers 


Total 
civilians 


County  by  Stale 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


County  by  State 


Total 

police 

employees 


Total 
ofTicers 


INDIANA— Continued 

Marion  

Monroe   

Porter  

Tippecanoe    

Tipton    . . ., 

Vanderburgh  

Vigo    

IOV\A 

Black  Hawk    

Bremer  

Dallas  

Dubuque  

lohnson  

^inn    

'oik  

'oiiawatlamie   

icolt    

A'arren    

iVoodbury    

KANSAS 

iutler  

Douglas  

Harvey  

ohnson  

.eavenworth  

vliami    

iedgwick  

ihawnee    

Vyandotte  

KENTUCKY 

Joone  

ioone  Police 

Depanment  

Jourbon    

Joyd   

ioyd  Police 

Department  

lullilt   

ramphcll    

Campbell  Police 

Depanment  

farter  

"hristian  

Christian  Police 

Department  

■lark  

)a\iess    

jrcenup    

Henderson   

efferson  Police 

Department  

essamine  

Centon  Police 

Department  

)ldham  Police 

Depanment  

)ldham   

cott    

■helby    

Voodtbrd  

Voodford  Police 

Department  

LOUISIANA 

iscension  

lossier  

'addo    

aleasieu    


796 
73 
98 
99 
15 

147 
4.1 


14 

31 

46 

63 

121 

169 

57 

113 

28 

87 


40 

64 

18 

297 

42 

24 

308 

114 

152 


19 

47 
7 
14 

I 

18 
II 

30 

7 
15 

4 
II 
30 

7 
14 

545 
9 


141 

98 

458 

460 


432 
73 
44 
38 
6 
98 
36 


55 
10 
1 1 
39 
42 
86 
131 
34 
38 
19 
29 


26 
29 
18 

234 
34 
13 

139 
94 

118 


6 

15 

3 
9 

20 
6 

14 

387 
9 


140 

95 

457 

460 


364 


63 
8 
II 
169 
20 
34 


158 


10 


LOUISIANA- 

Continued 


East  Baton  Rouge  . . . 

Jefferson   

Lafayette  

Lafourche  

Livingston    

Quachila   

Rapides  

St.  Charles  

St    John  The  Baptist 

St.  Manm    

St.  Tammany  

Terrebonne    


MAINE 


Androscoggin 
Cumberland    , 


MARYLAND 


Allegany 

Anne  Arundel    

Anne  Arundel  Police 

Depanment  

Baltimore 

Baltimore  Police 

Depanment  

Calven  

Carroll   

Cecil    

Charles    

Frederick    

Harford   

Howard   

Howard  Police 

Depanment  

Montgomery   

Montgomery  Police 

Depanment  

Prince  Georges   

Prince  Georges  Police 

Department  

Queen  Annes  

Washington 


MICHIGAN 


Bay    

Berrien  

Calhoun    ... 

Clinton    

Eaton    

Genesee  — 

Ingham    

Jackson  — 
Kalamazoo 

Kent    

Lapeer    

Livingston  . 
Macomb  ... 
Midland  ... 
Monroe  . . . . 
Muskegon  .. 
Oakland    ... 

Ottawa   

Saginaw  

St.  Clair    ... 
Washtenaw 
Wavne    


668 
1.190 
418 
179 
119 
227 
215 
192 
160 
126 
.302 
204 


49 
35 

728 
58 

1,733 
51 
32 
41 

234 
82 

265 
40 

329 
113 

1.093 

287 

1.543 
25 
130 


31 

67 

69 

47 

114 

225 

202 

104 

169 

148 

59 

82 

363 

41 

161 

71 

691) 

68 

129 

82 

241 

1.247 


MINNESOTA 


.\noka 
Benton 


154 
18 


668 
1.190 
418 
179 
118 
226 
215 
123 
153 
126 
302 
204 


17 
31 

548 

54 

1,541 
45 
26 
37 

130 
69 

153 
24 

280 
100 

844 
202 

1.221 
23 
52 


25 
55 
40 
22 
69 
93 

106 
55 

125 

122 
42 
58 

172 
33 
94 
50 

588 
62 
87 
58 

118 

679 


180 

4 

192 
6 
6 
4 
104 
13 
112 
16 

49 
13 

249 
85 

322 
2 

78 


6 
12 
29 
25 
45 

132 
96 
49 
44 
26 
17 
24 

191 

8 

67 

21 

102 

6 

42 

24 

123 

568 


MINNESOTA- 
Conlinued 


Carver    

Chisago  

Clay  

Dakota  

Hennepin   .. 

Isanti    

Olmsted    ... 

Ramsey    

Scott    

Sherburne  .. 

Stearns  

St.  Louis  ... 
Washington 
Wright    


MISSISSIPPI 


Harrison 
Hinds   ... 
Madison 


MISSOURI 


Buchanan   

Cass  

Christian  

Clay  

Franklin    

Greene  

Jackson   

Jasper  

Jefferson   

Lafayette  

Platte    

Ray    

St.  Louis  Police 
Depanment    .. 


MONTANA 


Cascade  

Yellowstone 


NEBRASKA 


Dakota  

Douglas  

Lancaster    .. 

Sarpy    

Washington 


NEVADA 


Washoe 


NEW  JERSEY 


Atlantic   

Atlantic  Prosecutor 

Bergen    

Bergen  Police 

Depanment  

Bergen  Prosecutor  

Burlington    

Burlington  Prosecutor  . 

Camden  

Camden  Prosecutor    . . . 

Cape  May    

Cape  May  Prosecutor  . 

Cumberland    

Cumberland  Prosecutor 

Essex  

Essex  Police 

Depanment  


69 

35 

41 

138 

533 

27 

72 

292 

90 

51 

99 

140 

109 

102 


179 
125 
48 


66 
41 
19 

107 
78 

III 

no 

73 
186 
21 
55 
18 

665 


20 
149 

77 
122 

21 


503 


129 
150 
437 

104 
260 

65 
115 
576 
197 
125 

34 
173 

51 
440 

44 


39 
21 
17 
67 

278 
12 
43 

242 
31 
24 
38 
80 
67 
58 


179 
125 
21 


64 
37 
18 
76 
71 

102 
81 
70 

149 
13 
42 
10 

467 


32 

42 


8 

101 

59 

91 

10 


343 


100 

63 

369 

89 

112 
48 
41 

455 
90 

109 
13 

155 
17 

388 

42 


363 


Table  80. — Number  of  Full-time  Law  Enforcement  Employees,  Suburban  Counties,  October  31,  1991 — Continued 


County  by  State 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


County  by  State 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


County  by  State 


Total 

police 

employees 


Total 
officers 


NEW  JERSEY— 
Continued 

Essex  Prosecutor 

Gloucester   

Gloucester  Prosecutor  . 

Hudson    

Hudson  Police 

Department  

Hudson  Prosecutor  

Hunterdon   

Hunterdon  Prosecutor 

Mercer   

Mercer  Prosecutor    — 

Middlesex    

Middlesex  Prosecutor   . 

Monmouth    

Monmouth  Prosecutor 

Morris    

Morris  Prosecutor  

Ocean  

Ocean  Prosecutor    

Passaic  

Passaic  Prosecutor    — 

Salem    

Salem  Prosecutor  

Somerset   

Somerset  Prosecutor    . . 

Sussex    

Sussex  Prosecutor   

Union  

Union  Prosecutor    

Warren    

Warren  Prosecutor    

NEW  MEXICO 

Dona  Ana    

NEW  YORK 

Albany   

Broome   

Chautauqua  

Dutchess  

Erie    

Herkimer    

Livingston    

Monroe    

Montgomery   

Nassau  

Oneida  

Onondaga  

Orange  

Oswego    

Putnam    

Rockland 

Saratoga    

Suffolk   

Tioga    

Warren    

Washington    

Wayne    

NORTH  CAROLINA 

Alamance  

Alexander  

Buncombe  

Burke  

Cabarrus  

Catawba  

Cumberland  

Da\  idson  

Davie  

Durham  

Forsyihe  


430 

166 

74 

189 

110 

272 

30 

40 

109 

116 

221 

214 

282 

216 

308 

126 

145 

117 

582 

179 

91 

36 

156 

108 

29 

47 

152 

209 

20 

51 


126 
57 
98 

141 

641 
47 
71 

295 

26 

3,478 

116 

359 
96 
69 
79 
80 
90 

226 
34 
85 
57 
56 


106 

26 
126 

67 
107 

97 
335 
124 

35 
290 
274 


308 
138 

43 
158 

90 
104 

22 

23 

85 

79 

180 

127 

252 

98 

227 

89 

88 

75 

468 

127 

76 

II 

123 

70 

25 

29 

131 

115 

17 

31 


93 

45 

77 

114 

531 

40 

58 

243 

23 

2,793 

107 

222 

87 

60 

57 

60 

64 

131 

30 

63 

47 

46 


66 
18 
88 
46 

100 
89 

271 
74 
32 

102 

196 


122 
28 
31 
31 

20 

168 

8 

17 

24 

37 

41 

87 

30 

118 

81 

37 

57 

42 

114 

52 

15 

25 

33 

38 

4 

18 

21 

94 

3 

20 


10 


33 
12 
21 
27 
110 

7 

13 
52 

3 
685 

9 
137 

9 

9 
1") 

20 
26 
95 

4 

10 
10 


40 

8 

38 

21 

7 

8 

64 

50 

3 

188 

78 


NORTH  CAROLINA- 
Conlinued 

Franklin    

Gaston   

Guilford    

Lincoln    

Mecklenburg  

New  Hanover    

Onslow    

Orange  

Randolph   

Rowan 

Stokes  

Union  

Wake    

Yadkin  

NORTH  DAKOTA 

Burleigh    

Cass  

Grand  Forks    

Morton    

OHIO 

Auglaize    

Clark  

Clermont    

Cuyahoga   

Delaware    

Franklin    

Fulton    

Geauga    

Greene  

Hamilton    

Jefferson   

Lake    

Licking    

Lorain    

Lucas 

Madison    

Mahoning  

Miami    

Montgomery  

Pickaway    

Richland   

Stark   

Trumbull    

Union  

Warren    

Washington   

Wood    

OKLAHOMA 

Canadian    

Cleveland   

Comanche    

Creek    

Garfield  

Logan   

McClain    

Oklahoma    

Osage 

Pottawatomie  

Rogers    

Sequoyah    

Tulsa  

Wagoner   

OREGON 

Clackamas 

Jackson    

Lane    


36 

126 

309 

50 

240 

195 

116 

85 

87 

90 

40 

87 

373 

35 


33 

134 

133 

875 

78 

681 

28 

60 

93 

826 

47 

145 

128 

152 

326 

25 

105 

71 

292 

46 

88 

170 

62 

44 

66 

51 

95 


30 
74 
47 
27 
17 
1  I 
II 

181 
25 
22 
21 
12 

263 
12 


147 
63 
115 


21 
95 

180 
45 

171 

153 
70 
73 
62 
80 
26 
67 

192 
24 


18 
113 

64 
166 

37 
556 


656 
25 
33 
96 
49 

248 
19 
80 
39 

182 
36 
46 
86 
26 
25 
54 
21 
87 


16 
25 
26 
16 
1  I 

6 

7 
96 
25 

9 
21 

6 
163 

9 


110 
47 
69 


15 
31 

129 
5 
69 
42 
46 
12 
25 
10 
14 
20 

181 
11 


15 
21 
69 

709 
41 

125 
10 
32 
II 

170 
22 

112 
32 

103 

78 

6 

25 

32 

110 
10 
42 
84 
36 
19 
12 
30 


6 

100 

3 


OREGON— Continued 

Marion  

Multnomah   

Polk  

Washington  

Yamhill   

PENNSYLVANIA 

Allegheny    

Allegheny  Police 

Department  

Centre    

Chester  Detective    

Cumberland    

Washington  

Westmoreland  Detective 

SOUTH  CAROLINA 


Aiken   

Anderson    ... 

Berkeley    

Charleston    ., 
Dorchester  . . 

Florence    

Greenville    ., 
Lexington   ... 

Pickens    

Richland   

Spartanburg  , 
York   


SOUTH  DAKOTA 


Minnehaha 
Pennington 


TENNESSEE 


Carter  

Grainger   

Hamilton    ... 

Hawkins    

Jefferson   

Knox  

Madison    — 

Marion  

Montgomery 
Robertson    .. 
Rutherford  .. 

Sevier  

Shelby    

Sullivan  

Sumner    

Unicoi    

Union  

Washington  . 


TEXAS 


Bell    

Bexar    

Bowie  

Brazoria    . . 

Brazos    

Cameron  . . 

Collin   

Comal    — 

Coryell   

Dallas  

Denton    . . . 

Ector  

Ellis  

El  Paso    ... 
Fort  Bend 


95 
186 

24 
170 

39 


137 

273 
10 
18 
15 
24 
41 


104 
108 

95 
293 

81 

79 
316 
224 

78 
302 
206 

93 


43 
17 

154 
41 
30 

526 
84 
25 

111 

53 

96 

46 

1 ,399 

181 
90 
27 
15 
63 


225 

1.222 

39 

187 

111 

181 

243 

102 

34 

1,378 

203 

106 

96 

576 

196 


71 
143 

17 
137 

34 


115 

232 
9 
15 
15 
19 
11 


79 

87 

60 

210 

52 

62 

263 

139 

53 

264 

189 

77 


58 
35 


26 
9 

109 

38 
15 

181 
50 
14 

109 
24 
50 
37 

473 

172 

44 

16 

9 

38 


59 

639 

34 

91 

'  50 

46 

88 

39 

10 

427 

112 

85 

34 

205 

153 


364 


lable  80. — Number  of  hull-time  Law   Enforcement  Lmployees,  Suburban  Counties,  October  31,  1991 — Continued 


Couniy  by  State 


Total 

police 

employees 


Total 
ofTicers 


Total 
civilians 


County  by  State 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


County  by  State 


Total 

police 

employees 


Total 

officers 


Total 

civilians 


I  EXAS — Conlinued 

Galveston  

Grayson    , 

Gregg    

Guadalupe   

Hardin    , 

Harris  , 

Harrison    , 

Hays    

Hidalgo    , 

Jefferson   

Johnson  

Kaufman     

Liberty   

Lubbock    

McLennan    

Midland    

Montgomery 

Nueces   

3range  

Parker    

Potter   

Randall    

'<ockwcll  

ian  Patricio    

imilh 

Tarrant    

Taylor    

Tom  Green  

Travis  

Victoria   

A'aller    

A-ebb    

A/ichita    

vVilliamson    

UTAH 

Davis    

^alt  Lake    

Jtah    

Weber    


266 

223 

43 

66 

51 

15 

94 

55 

39 

68 

23 

45 

.^3 

20 

13 

2.81>) 

1.751 

1 .068 

52 

31 

21 

157 

48 

109 

107 

134 

173 

252 

70 

182 

i:o 

27 

83 

49 

20 

29 

69 

28 

41 

248 

99 

149 

167 

51 

1  16 

154 

86 

68 

308 

202 

106 

317 

151 

166 

82 

36 

46 

69 

28 

41 

157 

107 

50 

62 

48 

14 

33 

13 

20 

55 

30 

25 

175 

62 

113 

965 

433 

532 

105 

70 

35 

74 

40 

34 

896 

141 

755 

70 

52 

18 

33 

14 

19 

295 

162 

133 

100 

30 

70 

146 

73 

73 

153 

672 

118 

92 


120 

522 
54 
83 


33 

150 

64 

9 


VIRGINIA 

Albemarle  Police 

Depanmenl  

Amhersi    

Bolelourt    

Campbell    

Charles  Cily  

Chesterfield  Police 

Departmeni  

Dinwiddle    

Fairfa.\  Police 

Departmeni  

Fluvanna    

Gloucester   

Goochland  

Greene  

Hanover    

Henrico  Police 

Department  

James  City  Police 

Department  

Loudoun    

New  Kent    

Pittsylvania   

Powhatan   

Prince  George   

Prince  William  Police 

Department  

Roanoke  Police 

Department  

Scott    

Stafford   

Washmgton   

York   

WASHINGTON 

Benton   

Clark  

Franklin    

King    

Kitsap     

Pierce 

Snohomish  

Spokane    


82 
36 
46 

53 
12 

428 
46 

1.237 
13 
47 
17 
14 
1(17 

516 

49 
205 
17 
74 
15 
43 

400 

113 
37 
85 
54 
62 


48 
165 

21 
806 
100 
271 
238 
214 


66 
33 
38 
45 

7 

335 
38 

962 

9 

40 

13 

9 

97 

356 

46 
165 
II 
61 
12 
36 

298 

82 
36 
70 
47 
54 


37 
132 

20 
599 

85 
238 
166 
171 


275 
4 
7 
4 
5 
10 

160 

3 
40 

6 
13 

3 

7 

102 

31 

I 
15 

7 


1  1 
33 
I 
207 
15 
33 
72 
43 


WASHINGTON— 
Continued 

Thurston  

Whatcom    

Yakima    

WEST  VIRGINIA 

Brooke  

Cabell  

Hancock    

Kanawha    

Marshall    

Mineral    

Ohio    

Putnam    

Wayne    

Wood    

WISCONSIN 

Brown    

Calumet    

Chippewa  

Dane  

Douglas  

Eau  Claire  

Kenosha    

La  Crosse  

Marathon   

Milwaukee  

Outagamie   

Ozaukee    

Racine    

Rock   

Sheboygan    

St.  Croix  

Washington   

Waukesha  

Winnebago    

WYOMING 

Laramie  

Natrona  


100 
58 
94 


187 

30 

38 

269 

59 

66 

151 

55 

118 

559 

133 

74 

244 

168 

115 

40 

109 

260 

135 


115 
86 


128 
23 
38 

235 
36 
51 
92 
31 
66 

431 
62 
56 

181 
90 
71 
40 
53 

143 
9! 


27 
II 
29 


13 
41 

9 

8 
12 

5 
10 

1 
15 
33 


59 

7 


34 
23 
15 
59 
24 
52 
128 
71 
18 
63 
78 
44 


56 
117 
44 


40 
20 


365 


1 


Table  81. — Number  of  Full-time  Law  Enforcement  Employees,  Rural  Counties,  October  31,  1991 


County  by  Slate 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


County  bv  State 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


County  by  Stale 


Total 

police 

employees 


Total 
officers 


ALABAMA 

Barbour  

Bibb    

Bullock    

Butler  

Chambers  

Cherokee    

Chilton    

Choctaw    

Clarke    

Clay  

Cleburne  

Coffee    

Conecuh    

Coosa   

Covington    

Crenshaw   

Cullman    

Dallas  

De  Kalb    

Escambia    

Fayette  

Franklin    

Geneva    

Greene  

Hale    

Henry  

Jackson    

Lamar    

Lee  

Limestone    

Lowndes   

Macon    

Marengo   

Marion  

Marshall    

Monroe    

Perry  

Pickens   

Pike  

Randolph    

Sumter  

Talladega    

Tallapoosa   

Washington   

Wilcox   

Winston    

ARIZONA 

Apache  

Cochise    

Coconino    

Gila  

Graham  

Greenlee   

Lapaz   

Mohave  

Navajo  

Pinal   

Santa  Cruz    

Yavapai  

ARKANSAS 

Arkansas  

Ashley    

Baxter    

Benton   

Boone  

Bradley    

Calhoun    

Carroll   

Chicot    

Clark  

Clay  


13 

6 

10 

7 

51 

16 

21 

20 

14 

8 

9 

23 

16 

10 

14 

6 

54 

43 

30 

26 

12 

22 

14 
15 
II 
II 
35 
17 
65 
32 
16 
24 
17 
18 
38 
25 
II 
II 
17 
14 
17 
39 
26 
II 
15 
15 


42 

152 

110 

107 

26 

20 

49 

101 

67 

233 

53 

141 


9 

5 

4 

6 

15 

9 

10 

5 

9 

4 

5 

8 

7 

5 

12 

5 

41 

39 

16 

16 

12 

10 

5 

6 

5 

7 

28 

6 

31 

19 

4 

13 

7 

7 

■)? 

13 

5 
5 
9 
7 
5 
15 
15 
5 
7 


19 
66 

76 
51 
12 
12 
28 
77 
38 
121 
32 
56 


23 
86 
34 
56 
14 
8 
21 
24 
29 
112 
21 
85 


ARKANSAS 
Continued 


Cleburne  

Cleveland   

Columbia    

Conway   

Craighead  

Cross    

Dallas  

Desha  

Drew  

Franklin    

Fulton    

Garland  

Grant    

Greene  

Hempstead 
Hot  Spring    .. 

Howard    

Independence 

Izard   

Jackson    

Johnson  

Lafayette  

Lawrence    

Lee  

Lincoln    

Little  River  .. 

Logan   

Madison    

Marion  

Mississippi  ... 

Monroe    

Montgomery   . 

Nevada    

Newton    

Ouachita  

Perry  

Phillips    

Pike  

Poinsett  

Polk  

Pope   

Prairie    

Randolph   

St.  Francis  ... 
Scott    


CALIFORNIA- 
Continued 


Searcy    

Sevier  

Sharp    

Stone    

Union  

Van  Buren 

White   

Woodruff  . 
Yell    


CALIFORNIA 


Alpine    

Amador  — 
Calaveras    . . 

Colusa    

Del  Norte    , 

Glenn   

Humboldt 
Imperial    ... 

Inyo  

Kings    

Lake    

Lassen    

Madera  .... 
Mariposa  . 
Mendocino 

Modoc   

Mono    


13 

41 

72 

35 

27 

34 

114 

■>T2 

51 

113 

84 

84 

76 

45 

80 

9 

25 


10 
37 
41 
30 
23 
24 
87 
129 
39 
71 
57 
23 
58 
41 
62 
9 
23 


Nevada    

Plumas  

San  Benito    

San  Luis  Obispo 

Sierra    

Siskiyou    

Tehama   

Trinity   

Tuolumne    


COLORADO 


Alamosa    

Archuleta    ... 

Baca    

Cheyenne    ... 
Clear  Creek 

Conejos   

Costilla    

Crowley  

Custer    

Delta  

Dolores    

Eagle  

Elbert    

Fremont    

Gilpin    

Grand  

Gunnison   .. 

Hinsdale   

Huerfano    .. 

Jackson    

Kiowa    

Kit  Carson 
La  Plata   ... 

Lake    

Las  Animas 

Lincoln    

Logan   

Mesa  

Mineral    

Moffat    

Montezuma 
Montrose    .. 

Morgan    

Otero    

Ouray  

Park    

Phillips    

Pitkin   

Prowers   

Rio  Blanco 
Rio  Grande 

Routt    

Saguache  

San  Juan    .. 
San  Miguel 

Sedgwick  

Summit    

Teller    

Washington  , 
Yuma   


FLORIDA 


Baker    .... 
Calhoun    . 
Charlotte 
Citrus   — 
Columbia 
De  Soto    . 

Dixie  

Flagler    . . . 
Franklin    . 


98 
63 
41 
282 
14 
57 
83 
30 
71 


32 
21 

9 

9 
31 

9 
II 
10 

5 
35 

6 
53 
22 
42 
15 
37 
17 

4 
22 

g 

4 
II 
64 
14 
15 
1 1 
18 
137 

4 
28 
30 
41 
36 
16 

4 
22 

3 
37 
12 
16 
17 
30 
I  i 

4 
10 

8 
41 
23 
13 

6 


46 

19 

266 

255 

129 

67 

28 

85 

53 


366 


Table  81.— Number  of  Full-time  Law  Enforcement 

Employees,  Rural  Counties,  October  3L 

1991— Continued 

County  by  Slate 

Total 

police 

employees 

Total 
ofTicers 

Total 
civilians 

County  by  State 

Total 

police 

employees 

Total 
officers 

Total 
civilians 

County  by  State 

Total 

police 

employees 

Total 
officers 

Total 

civilians 

FLORIDA— Conlinufd 

2.1 
40 
29 
49 
74 
90 
1K4 
27 

64 

33 

14 

185 

47 

14 

36 

431 

119 

172 

82 

53 

61 

16 

57 

74 

32 

17 
II 
13 

7 
58 
16 
98 
22 
14 
16 
23 
25 
31 
68 
12 
61 

9 
84 
18 
39 

6 

7 
23 
54 
17 
17 
52 
21 
25 
17 
20 
19 

2 
19 
13 
21 
74 

55 
19 
21 

3 
93 

111 

54 

13 
16 
12 
14 
29 
43 
77 

9 

130 

36 

12 

6 
123 
32 

6 
18 
180 
46 
80 
36 
28 
19 

6 
19 
41 
14 

12 

4 

8 

3 

34 

11 

87 

12 

8 

7 

13 

12 

12 

40 

6 

30 

4 

52 

9 

37 

3 

6 

19 

25 

1 1 

8 

49 

17 

15 

11 

10 

14 

-> 

15 
12 
16 
62 

51 
16 
19 

2 

21 

90 
28 

10 

24 
17 
35 
45 
47 

107 
18 

204 
28 
21 
8 
62 
15 
8 
18 

251 
73 
92 
46 
25 
42 
10 
38 
33 
18 

5 
7 
5 
4 

24 
5 

11 

10 
6 
9 

10 

13 
9 

28 
6 

31 
5 

32 
9 
2 
3 
1 
4 

29 
6 
9 
3 
4 

10 
6 

10 
s 

GEORGIA— Continued 

Grady  

Greene  

Greene  Police 
Department 

24 
23 

9 

32 

223 
1 1 
32 
34 
26 
14 

6 
13 

9 
19 

6 

4 
18 

9 
69 
34 
18 

7 
139 
23 

9 

7 
20 
21 
15 
17 
51 

9 
31 
26 
12 
24 
13 
11 
17 
35 

2 

20 
10 
17 
16 
1 1 
22 

6 
10 

2 

8 
12 
12 
12 
36 
48 
13 
11 
10 
60 
12 

9 
14 
29 
47 

13 

2 
30 
28 
3 
3 
19 

10 

23 

8 

32 

197 

7 

29 

24 

17 

12 

6 

8 

8 

14 

3 

3 

18 

5 

30 

30 

13 

6 

82 

15 

8 

3 

15 

11 

11 

16 

40 

4 

17 

17 

8 

14 

6 

9 

7 

14 

2 

18 
9 
7 

15 
8 

13 
3 
5 
2 

8 
8 

12 

6 

25 

23 

9 

6 

5 

56 

7 

6 

11 

20 

24 

2 

2 

30 

26 

2 
2 
10 

14 

GEORGIA— Continued 

Whitfield 

99 
8 
18 
17 
23 

218 
160 
357 

10 
71 
10 
12 
49 
30 

8 
48 
71 
18 

4 

5 
50 
12 
37 

5 
28 
10 
22 
16 
20 
19 
20 
32 
21 
20 
116 
32 
15 
21 
18 
37 
10 

'.I 
19 

28 
9 

47 
23 
14 

49 
11 
15 

4 
28 

6 
14 

6 
25 
11 
13 
40 
12 

9 

90 
4 
9 
10 
12 

194 
134 
278 

10 
71 

4 
12 
37 
30 

6 
48 
71 
18 

4 

5 
35 
12 
28 

2 
17 

6 
21 

6 
20 
19 
12 
31 
13 
13 
57 
16 

7 

19 
10 
34 

6 

9 
25 
14 
28 

4 
22 
22 
14 

19 
11 

6 

4 
28 

3 
10 

5 

14 
11 

8 
36 

8 

5 

9 

3lades   

Wilcox 

4 

3ulf 

1 

26 
4 
3 

10 
9 
"» 

5 
1 
5 
3 
1 

4 

39 

4 

5 
1 

57 
8 
1 

4 
5 

10 
4 
1 

1  1 
5 

14 
9 
4 

10 
7 
2 

10 
21 

•} 
1 
10 
1 
3 
9 
3 
5 

4 



6 

I  1 
25 

4 
5 
5 

I 

3 

9 

23 

I I 

2 
1 
1 
9 

Wilkes 

9 

Hamilton    

7 

Hardee 

Worth     

Hall  Police 

HAWAII 

Hawaii  Police 

Highlands  

ackson    

Harris 

24 

Han 

Kauai  Police 

-afayetle  

Heard   

26 

^ke    

Maui  Police 

-evy    

.ibetly  

Jasper  

79 

Jeff  Davis    

IDAHO 

Monroe   

Jenkins 

Ikecchobee  

'utnam    

Lamar    

■umter  

Lanier    

6 

'aylor    

Libertv   

12 

Vakulla  

Valton 

2 

Lowndes   

Vashington    

Lumpkin  

Bonneville    

GEORGIA 

>pplmg    

vtkinson    

Marion  

Butte           ..  . 

Meriwether    

15 

Miller   

Caribou   

iacon   

laker    

taldwin  

Mitchell     

Cassia 

9 

Clark         

3 

Montgomery   

Clearwater   

1 1 

lartow  

ten  Hill   

Elmore  

1 

10 

lerrien  

Pickens 

Fremont    

Gem    

Gooding    

Idaho    

Irantley    

Irooks   

Irvan    

lulloch    

Pierce      

Pike  

8 

Pulaski            

8 

Quitman          

Jerome  

Kootenai  

7 

59 

amden  

andler   

arroil    

'harlton       

16 

Schley  

Lewis    

8 

2 

Seminole  

Minidoka     

g 

Nez  Perce    

3 

■lay 

Oneida 

4 

linch    

Talbot    

9 

offee    

Taliaferro   

Payette 

olquitt  

"ook  . . . 

5 

Shoshone 

Telfair    

5 

Terrell    

Thomas   

Tifl    

25 

)awson 

Valley  

1 

>odge    

Toombs  

ILLINOIS 

tody   . 

arlv  

Treutlen    

Troup   

Turner     

30 

Ibert 

4 
1 

5 
12 

4 

3 

"> 

1 
72 

21 

26 

Alexander  

Bond   

9 

annin   

L)nion      

Brown     

lovd 

loyd  Police 
Department 

Ware        

Calhoun    

3 

Ware  Police 
Department  

Carroll 

4 

ranklm 

Cass  

1 

1 1 

ilascock 

Washington   

Wayne           

Clark  

ilynn   

Clay            

5 

Webster  

Coles  

4 

Department 

Wheeler         

Crawford      

4 

lordon    

White   

Cumberland    

4 

367 


Table  81. — Number  of  Full-time  Law  Enforcement  Employees,  Rural  Counties,  October  31,  1991 — Continued 


County  by  State 


Total 

police 

employees 


Total 
officers 


Total 
civiliatis 


County  by  State 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


County  by  State 


Total 

police 

employees 


Total 
officers 


ILLINOIS— Continued 

De  Kalb    

De  Witt    

Douglas  

Edgar   

Edwards    

Effingham    

Fayette 

Ford    

Franklin    

Fulton    

Gallatin  

Greene  

Hamilton    

Hancock    

Hardin   

Henderson   

Iroquois  

Jackson    

Jasper  

Jefferson  

Jo  Daviess  

Johnson 

Knox  

La  Salle  

Lawrence    

Lee  

Livingston    

Logan   

Macoupin  

Marion  

Marshall    

Mason 

Massac  

McDonough    

Mercer  

Montgomery  

Morgan    

Moultrie   

Ogle  

Perry  

Piatt    

Pike  

Pope   

Pulaski   

Putnam    

Randolph    

Richland  

Saline   

Schuyler    

Scott    

Shelby    

Stark   

Stephenson    

Union  

Vermilion  

Wabash    

Warren    

Washington   

Wayne    

White   

Whiteside   

Williamson    

INDIANA 

Adams   

Bartholomew    

Benton  

Blackford    

Ca-roll    

Daviess    

Decatur   

Fountain   

Gibson  

Grant   


57 
25 
18 
18 

8 
26 
13 
10 
.18 
.19 

4 
I  I 

8 
17 

3 

8 
24 
54 
17 
17 
23 

9 
44 
56 

9 
27 
44 
29 
46 
26 
17 
19 
16 
22 
21 
21 
31 
15 
48 
14 
22 
17 

3 

10 
10 
20 
18 
35 
11 

7 
21 

7 
50 
12 
69 

9 
17 
12 
ID 
16 
47 
51 


5 

17 
IS 

7 

14 
17 

5 
41 
45 

5 
27 
26 
20 
21 
22 

7 

9 

9 
12 
10 
12 
14 

9 
35 
12 
10 


18 

9 
25 

4 
10 
10 

7 
10 
II 

9 
17 

6 
13 

1 

12 
9 

I 

5 
5 

12 

I  I 

26 

6 

4 

II 

4 

17 

I 

39 

5 

6 

7 

5 

12 
12 
30 


14 
32 

3 

4 
10 

8 
13 

6 
14 
40 


INDIANA— Continued 

Jackson    

Jefferson   

Jennings 

LaGrange   

La  Porte  

Lawrence    

Martin    

Montgomery  

Newton    

Parke    

Pike  

Pulaski  

Putnam    

Ripley    

Rush    

Starke  

Steuben    

Wabash    

Washington  

Wayne    

Wells  

IOWA 

Adair    

Adams    

Allamakee    

.Appanoose  

Audubon  

Benton  

Boone  

Buchanan   

Buena  Vista    

Butler  

Calhoun    

Carroll    

Cass  

Cedar 

Cerro  Gordo    

Cherokee    

Chickasaw    

Clarke    

Clay  

Clayton    

Clinton    

Crawford    

Davis    

Decatur   

Delaware    

Des  Moines    

Dickinson  

Emmet   

Fayette  

Floyd    

Franklin    

Fremont    

Grundy    

Guthrie    

Hamilton    

Hancock    

Hardin   

Harrison    

Henry  

Howard   

Humboldt    

Ida   

Iowa    

Jackson    

Jasper  

Jefferson   

Jones  

Keokuk    

Kossuth  

Lee  

Louisa    


23 
21 
12 
29 
110 
34 
12 
27 
19 
12 
10 
20 
14 
18 
22 
20 
35 
25 
18 
35 
26 


IOWA— Continued 


Lucas    

Lyon   

Madison    

Mahaska   

Marion  

Marshall    

Mills   

Mitchell  

Monona  

Monroe   

Montgomery 
Muscatine    .. 

OBrien    

Osceola    

Palo  Alto  ... 
Plymouth  ... 
Pocahontas  . 
Poweshiek  .. 
Ringgold   — 

Sac  

Shelby    

Sioux    

Story   

Tama    

Taylor    

Union  

Van  Buren  . . 

Wapello  

Washington   . 

Wayne    

Webster  

Winnebago 
Winneshiek   . 
Wright    


KANSAS 


Allen   

Anderson  . . 
Atchison    ... 

Barber    

Barton    

Bourbon    ... 

Brown    

Chase    

Chautauqua 
Cherokee  .. 
Cheyenne   .. 

Clark  

Clay  

Cloud    

Coffey    

Comanche    . 

Cowley  

Crawford    .. 

Decatur   

Dickinson  .. 
Doniphan  .. 
Edwards    . . . 

Elk   

Ellis  

Ellsworth    .. 

Finney   

Ford    

Franklin    ... 

Geary   

Gove  

Graham  

Grant    

Gray    

Greeley    — 
Greenwood 
Hamilton    .. 

Harper  

Haskell  


368 


-Number  of  Full-time  Law  Enforcement  Employees,  Rural  Counties,  October  31,   1991 — Continued 


KANSAS— Continued 


Tola! 

police 

employees 


7 

10 

25 

7 

14 

6 

II 

26 

9 

10 

II 

2 

33 

II 

12 

20 

5 

7 

9 

10 

18 

8 

9 

22 

6 

9 

8 

13 

23 

10 

7 

61 

9 

9 

114 
9 
9 
13 
49 
4 
II 
4 
10 
6 
8 
10 
10 
18 
9 
7 
8 
2 
9 
7 
16 


Total 
ofTicers 


Total 
ci\  ilians 


1 

10 

1 
23 

5 

6 

6 

6 

10 

10 

S 

4 

3 

4 

5 

10 

8 

10 

3 

5 

4 

5 

21 

1 

3 

3 

5 

4 

4 

4 

8 

5 

15 

8 

9 

1 

2 

5 

46 

15 

6 

3 

5 

4 

80 

34 

5 

4 

9 

5 

8 

49 

4 

1  1 

3 

1 

10 

") 

4 

4 

4 

6 

4 

5 

5 

10 

8 

9 

3 

4 

4 

4 

5 

4 

7 

6 

10 

8 

3 

1 

5 

5 

T 

6 

6 

1 
1  1 

1 

6 

-> 

6 

6 

4 

1 

Counlv  b\  Stale 


KENTl'CKV- 

Continued 


Calloway   

Carlisle    

Carroll    

Casey    

Clay' 

Clinton    

Crittenden  ... 
Cumberland  . 
Edmonson    ... 

Ellioll   

Estill    

Fleming  

Floyd    

Franklin    

Fulton     

Gallatm   

Garrard   

Grant    

Graves   

Grayson    

Green   

Hancock    

Hardm   

Harlan    

Harrison    

Hart     

Henry  

Hickman  

Hopkins    

Jackson    

Johnson  

Knott    

Knox  

Larue    

Laurel  

Lawrence    

Lee  

Leslie    

Letcher    

Lewis    

Lmcoln    

Livmgston    ... 

Logan    

Lyon    

Lyon  Police 

Department 

Madison    

MagolTin   

Marion  

Marshall    

Martin    

Mason    

McCracken    . . 

McCreary   

McLean   

Meade    

Menifee  

Mercer  

Metcalfe    

Monroe    

Montgomery   ., 

Morgan    , 

Muhlenberg  ... 

Nelson    

Nelson  Police 

Department  , 

Nicholas    

Ohio    

Owen    , 

Owsley  

Pendleton  

Perry  

Pike  

Powell    


Total 

police 

employees 


Total 
officers 


Total 
civilians 


County  by  Slate 


KKNTLCKY— 
Continued 


Pulaski  

Robertson 
Rockcastle   . 

Rowan    

Russell   

Simpson    ... 

Spencer    

Taylor    

Todd  

Trigg  

Trimble   

Union  

Warren    

Washington 

Wayne    

Webster  .... 
Whitley  .... 
Wolfe    


LOUISIANA 


Acadia    

Assumption   . 
Beauregard 
Caldwell    .... 

Cameron  

Claiborne   ... 
Evangeline   . . 

Franklin    

Grant    

Jackson    

U  Salle 

Lincoln    

Madison    

Natchitoches 
Plaquemines 
St.  Landry   .. 
St,   Mary   .... 

Vernon    

Webster  


MAINE 


Aroostook    . 

Franklin  ... 
Hancock  . . . 
Kennebec   .. 

Knox  

Lincoln    

Oxford   

Penobscot  .. 
Piscataquis 
Sagadahoc    . 
Somerset   ... 

Waldo    

Washington 
York   


MARYLAND 


Caroline    . . 
Dorchester 

Garrett  

Kent    

St.  Mary's 
Somerset  . . 
Talbot    . . . . 
Wicomico  . 
Worcester  . 


Total 

police 

;mployees 


MICHIGAN 


Alcona 

Alger  .. 


100 
47 
59 
26 
80 
20 
43 
4.1 
40 
^4 
32 
35 
19 
58 
143 
I  I  I 
114 
60 
52 


Total 
officers 


16 
1 
5 
5 
3 
7 


100 
36 
43 
26 
80 
20 
43 
42 
40 
34 
32 
35 
19 
58 
137 
III 
114 
60 
52 


14 
7I 


10 
4 


369 


Table  81. — Number  of  Full-time  Law  Enforcement  Employees,  Rural  Counties,  October  31,  1991 — Continued 


Couniy  by  Stale 


Total 

police 

employees 


MICHIGAN— 

Continued 

Allegan    

Alpena   

Antrim   

Arenac   

Baraga   

Barry    

Benzie    

Branch  

Cass  

Charlevoix   

Cheboygan   

Chippewa   

Clare  

Crawford    

Delia  

Dickinson  

Emmet   

Gladwin    

Gogebic  

Grand  Traverse    

Gratiot  

Hillsdale  

Houghton  

Huron    

Ionia  

Iosco  

Iron  

Isabella    

Kalkaska  

Keweenaw    

Lake    

Leelanau   

Lenawee    

Luce    

Mackinac    

Manistee  

Marquette    

Mason    

Mecosta 

Menominee   

Missaukee    

Montcalm  

Montmorency  

Newaygo  

Oceana  

Ogemaw    

Ontonagon  

Osceola    

Oscoda  

Otsego    

Prcsque  Isle    

Roscommon    

St,  Joseph    ■. 

Sanilac   

Schoolcraft  

Shiawassee  

Tuscola    

Van  Buren  

Wexford    

MINNESOTA 

Aitkin  

Becker    

Beltrami    

Big  Stone  

Blue  Earth  

Brown    

Carlton    

Cass  

Chippewa  

Clearwater  

Cook  

Cottonwood    


56 
33 
28 
20 

5 
37 
29 
41 
44 
22 
26 
26 
25 
22 
15 
15 
15 
21 
18 
62 
30 
36 
23 
44 
21 
20 

8 
36 
31 

3 
27 
27 
53 

4 
14 
28 
42 
30 
41 
20 
11 
37 
19 
24 
32 
23 
12 
24 
15 
17 
16 
21 
24 
46 

4 
57 
44 
55 
24 


Total 
officers 


40 
18 
16 
10 

5 


Total 
civilians 


21 

16 

13 

16 

23 

18 

24 

20 

13 

9 

13 

13 

14 

12 

75 

14 

8 

12 

3 

11 

4 

15 

17 

4 

13 

5 

44 

18 

15 

15 

24 

12 

21 

2 

ft 

22 

15 

6 

7 

13 

8 

20 

16 

15 

16 

3 

9 

18 

13 

14 

39 

14 

3 

1 

6 

8 

18 

10 

22 

20 

30 

21 

20 

9 

11 

7 

4 

24 

13 

10 

9 

19 

5 

17 

15 

12 

11 

8 

4 

9 

15 

10 

5 

9 

8 

11 

5 

15 

6 

23 

1 

28 

18 

4 

County  by  Siaie 


Total 

police 

employees 


MINNESOTA- 
Continued 

Crow  Wing   

Dodge    

Douglas   

Faribault   

Fillmore    

Freeborn   

Goodhue  

Grant    

Houston    

Hubbard   

Jackson    

Kanabec    

Kandiyohi    

Kittson    

Koochiching   

Lac  Qui  Parle   

Lake    

Lake  of  the  Woods 

Le  Sueur  

Lincoln    

Lyon    

Mahnomen    

Marshall    

Martin    

McLeod  

Meeker    

Mille  Lacs   

Morrison  

Mower  

Murray    

Nicollet    

Nobles   

Norman  

Otter  Tail    

Pennington    

Pme  

Pipestone    

Polk  

Pope    

Red  Lake  

Redwood    

Renville  

Rice  

Rock  

Roseau  

Sibley  

Steele    

Stevens    

Swift    

Todd  

Traverse    

Wabasha   

Wadena   

Waseca    

Watonwan    

Wilkin    

Wmona   

Yellow  Medicine   .. 

MISSISSIPPI 

Claiborne   

Clarke    

Clay  

Coahoma    

Forrest   

Franklin    

Greene  

Issaquena    

Jefferson  Davis  

Jones  

Lamar    

Lawrence    

Lee  


Total 
ofTicers 


Total 
civilians 


Countv  by  State 


Total 

police 

employees 


Mississippi- 
Continued 

Lowndes    

Montgomery   

Oktibbeha    

Simpson    

Tate  

Tishomingo  

Walthall     

Warren    

Washington   

Wayne    

Webster  

Winston    

Yalobusha    

MISSOURI 

Andrew    *. 

Atchison   

Audram  

Barry    

Barton    

Bates  

Benton   

Bollinger  

Butler  

Caldwell    

Camden  

Carroll    

Chariton   

Clark  

Cole  

Cooper  

Crawford    

Dallas  

Daviess    

De  Kalb    

Douglas   

Dunklin  

Gasconade   

Gentry   

Grundy    

Harrison   

Henry   

Holt  

Laclede    

Linn    

Livingston    

Maries    

Marion  

McDonald    

Mercer   

Mississippi   

Moniteau    

Montgomery   

Morgan    

Oregon  

Osage    

Ozark   

Pemiscot  

Perry  

Pike  

Polk  

Pulaski   

Reynolds  

Ripley    

St.  Clair    

St.  Francois    

Ste  Genevieve   — 

Saline   

Schuyler    

Scotland    

Scott    

Shelby    

Stoddard  


10 


Total 
officers 


370 


Table  81. — Number  of  Full-time  I^aw  Enforcement 

Employees.  Rural  Counties,  October  31. 

1991— Continued 

County  by  Slate 

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 

MISSOtRI— Continued 

15 

17 
15 
14 

:_i 

7 
3 

14 
31 

8 
10 

3 
12 
1  1 

23 

3 

17 

73 

56 

2 

8 

18 
16 
25 
41 
38 
14 
3 

10 

72 

10 

15 

12 

8 

7 

X 

5 

29 

17 
28 
30 
13 
13 
64 
II 

8 
12 
17 

-> 

17 
9 
3 

18 
11 

14 

45 

8 
25 
8 
6 
10 

10 
4 

17 

10 
9 

13 
3 
2 

7 

16 

5 

6 

T 

9 

5 

3 

18 

T 

10 

34 

26 

2 

4 

9 

8 

12 

23 

20 

7 

3 

5 

44 

6 

9 

9 

5 

3 

4 

1 

16 
6 

16 

17 
7 
5 

39 
7 
4 
7 

10 
2 

8 
4 
3 

16 
6 

1 
1 
1 

4 
1 
3 

15 
4 
4 

18 
4 
1 

4 

5 

1 

NEBRASKA— Conlinued 

10 
9 

10 
9 

17 
4 

35 
7 
5 

19 
7 
8 
7 

13 

16 

10 
t 

5 
-> 

55 
13 

8 

■) 

1 

10 

1 

4 

9 

7 

12 

16 

T 

7 

13 

39 

3 

1 

26 

1 

9 

S 

11 

10 

6 

17 

5 

9 

10 

7 

7 
5 
8 
7 

15 

20 

18 

17 

5 

3 

-> 

5 

10 
1 

7 
6 
5 
8 
1 
15 

34 

4 
4 
3 
4 
5 
3 

20 
4 
3 

16 
4 
4 
3 
8 
9 
5 
2 

4 

-) 

1 

21 
6 

4 

-I 

4 
4 
1 
3 

5 
2 

6 
9 
1 

3 

6 

21 

-) 

1 

17 

1 

5 
-> 

7 
5 
4 
8 
3 
4 
4 
3 
21 
5 
4 
3 
3 
9 
10 
12 
8 
4 
-> 

2 
4 
7 
1 

3 
-) 

4 
5 
1 
6 

29 

6 

12 
15 

NEVADA— Continued 

Elko  

47 
13 
19 
35 
28 
16 
29 
88 
18 
15 
36 

16 

7 

8 
14 
16 
51 

51 
31 

41 
12 
23 
38 
66 
20 
12 
26 
21 
41 

28 
42 
5 
53 
15 
21 
13 
46 
28 
15 
43 
52 
35 
50 
72 
55 
23 

15 
27 
24 
29 
45 
19 
44 
71 
67 
6 
46 
29 
43 
25 
15 
11 

38 
9 
19 
35 
28 
15 
29 
62 
12 
15 
35 

9 

5 

8 

8 

13 

49 

2 

33 

15 

36 

5 

8 

29 

48 

9 

10 

17 

10 

26 

20 
30 
1 
32 
10 
21 
11 
32 
24 
12 
31 
42 
22 
38 
39 
42 
18 

II 
18 
15 
29 
27 
13 
26 
53 
37 
6 
34 
18 
29 
17 
9 
7 

9 

Sullivan   

Clay  

Esmeralda 

4 

Colfax    

Vernon     

5 
5 

10 
4 
1 

7 

15 
3 
4 
1 

3 
6 
4 
5 
1 

7 
39 
30 

Cuming   

Humboldt      

Washington    

Dawes    

Lincoln       

1 

Wavne   

Worth        

Deuel         

Nye                

26 

6 

MONTANA 

Dodge      

White  Pine 

1 

Fillmore    

NEW   HAMPSHIRE 

Belknap  

Furnas 

7 

2 

Garfield  

NEW   MEXICO 

Grant         

Fallon              

34 
4 

Hall            

Cibola     

6 

3 

Flathead 

Harlan          .     . 

Eddy 

2 

Golden  Valley  

3 
6 

Lea    

18 

4 
9 
8 
13 
18 
18 
7 

Holt  

Lincoln    

16 

Hill      

Hooker    

5 

Howard     

1 

4 
5 
6 
7 
1 

4 
7 

18 
1 

Mora        

7 

Lake 

15 

Johnson      .... 

Sandoval 

9 

Kearney  

San  Juan    

18 

Keith 

1 1 

Keva  Paha  

Socorro    

2 

5 

28 

4 

*> 
3 

3 

4 

4 

3 

13 

II 

12 

13 

6 

8 

25 

4 

4 

5 

7 

Kimball   

9 

Torrance   

1 1 

Musselshell    

15 

Park 

NEW   YORK 

Cavuga   

f^hilltps 

9 

4 
6 
4 
5 
2 

9 

2 

6 
10 
6 
9 
1 
1 

1 
3 

4 
4 
1 
3 

9 

5 

McPherson    

8 

'owell              

12 

Morrill        

Clinton    

4 

<avalli 

21 

Nemaha         

Delaware    

5 

2 

14 

Perkins    

4 

Phelps         

Otsego    

3 

12 

Platte          

Seneca    

10 

Polk  

13 

Red  Willow    

12 

Richardson    

Tompkins  

33 

'allev 

9 

5 

Rock 

Ulster      

13 

vheatland 

Saline      

Yates    

5 

Wibaux 

Saunders  

NORTH  CAROLINA 

-> 
5 

Scotts  Bluff 

NEBRASKA 

4 

9 

Ashe    

9 

Thaver        

Beaufort    

18 

Bertie   ...: 

6 

ox  Butte 

10 

Bladen    

18 

Valley  

18 

4 
30 

3 
4 
7 
4 
4 
6 

Wayne       

Caldwell    

30 

jfTalo 

Webster  

irt 

Wheeler      

Carteret   

12 

York    

Casvwell    

11 

NEVADA 

Churchill  

14 

;dar 

Cherokee    

8 

6 

ieri7    

Clav  

4 

371 


Table  81. — Number  of  Full-time  Law  Enforcement  Employees,  Rural  Counties,  October  31,  1991 — Continued 


County  by  Slate 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


County  by  State 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


County  by  Slate 


Total 

police 

employees 


Total 
officers 


NORTH  CAROLINA- 
Continued 

Cleveland   

Columbus  

Craven  

Currituck 

Dare    

Duplin   

Edgecombe    

Gates    

Granville    

Greene  

Halifax  

Harnett    

Haywood    

Henderson    

Hertford    

Hoke  

Hyde  

Iredell  

Jackson    

Johnston   

Lee  

Lenoir    

Macon    

Martin    

McDowell    

Montgomery  

Moore    

Nash   

Northampton   

Pamlico  

Pasquotank    

Pender   

Perquimans  

Person    

Pitt    

Polk  

Richmond    

Robeson    

Rockingham    

Rutherford  

Sampson   

Scotland    

Stanly  

Surry  

Swain    

Transylvania  

Tyrrell    

Vance  

Warren    

Washington    

Watauga    

W'ayne    

Wilkes    

Wilson    

Yancey  

NORTH  DAKOTA 

Adams   

Barnes    

Benson  

Billings    

Bottineau    

Bowman 

Burke    

Cavalier  

Dickey   

Divide    

Dunn    

Eddy   

Emmons    

foster  

(ioldcn  Valley   

(irant  


46 
55 

5 
37 
24 
64 
84 
33 
96 
41 
27 
14 
87 
34 
50 
48 
66 
27 
17 
38 
31 
62 
66 
27 
18 
15 
51 

7 
34 
98 
19 
47 
80 
79 
34 
63 
38 
42 
64 
20 
45 
10 
26 
21 
16 
33 
56 
50 
75 
13 


50 
42 
49 
21 
45 
27 
31 
5 


29 

8 

17 

7 

34 

30 

49 

35 

33 

70 

26 

12 

29 

23 

4 

8 

6 

80 

7 

27 

7 

39 

11 

27 

21 

35 

31 

26 

1 

17 

25 

13 

20 

11 

41 

21 

39 

27 

15 

12 

9 

9 

14 

1 

27 

24 

5 

2 

23 

1 1 

65 

33 

14 

5 

27 

20 

66 

14 

67 

12 

31 

3 

39 

24 

26 

12 

36 

6 

48 

16 

9 

1 1 

30 

15 

5 

5 

16 

10 

11 

II 

5 

TT 

1  1 

34 

TT 

35 

15 

46 

29 

13 

S 

5 

1 

4 

3 

1 

8 

4 

3 

5 

4 

4 

1 

4 

3 

1 

2 

1 

7 

1 

2 

4 

7 

NORTH  DAKOTA- 
Continued 

Griggs  

Hettinger    

Kidder  

Lamoure  

Logan   

McHenry    

Mcintosh    

McKenzie  

McLean   

Mercer  

Mountrail  

Nelson    

Oliver  

Pembina   

Pierce   

Ramsey    

Ransom   

Renville  

Richland   

Rolette  

Sargent  

Sheridan    

Sioux    

Slope  

Stark  

Steele    

Stutsman     

Towner    

Traill     

Walsh   

Ward    

Wells  

Williams   

OHIO 

Ashland   

Ashtabula   

Champaign    

Clinton    

Columbiana    

Coshocton    

Crawford    

Darke   

Defiance   

Erie    

Hardin   

Harrison    

Henry  

Highland  

Hocking    

Huron    

Marion  

Monroe    

Morgan    

Muskingum   

Ottawa  

Preble  

Putnam   

Sandusky    

Seneca    

Shelby    

Tuscarawas    

Van  Wert  

Vinton    

Wayne    

Williams   

Wyandot   

OKLAHOMA 

Adair    

Alfalfa    

Atoka    


-, 

1 

"1 

1 

T 

t 

1 

■) 

5 

6 

20 

4 

18 

4 

4 

5 

3 

13 

4 

3 

4 

5 

1 

5 

3 

7 

6 

8 

3 

3 

2 
1 

1 
9 

3 

3 

P 

1 
3 

1 
3 

13 

17 

20 

? 

22 

1 

46 

1 

38 

37 

31 

2 

25 

3 

19 

16 

45 

II 

20 

6 

21 

28 

17 

4 

28 

32 

12 

10 

17 

18 

OKLAHOMA- 
Continued 

Beaver    

Beckham  

Blame  

Bryan    

Caddo    

Carter  

Cherokee    

Choctaw    

Cimarron    

Coal    

Cotton    

Craig  

Custer    

Delaware    

Dewey    

Ellis  

Garvin   ^... 

Grady  

Grant    

Greer    

Harmon  

Harper  

Haskell  

Hughes  

Jackson    

Jefferson   

Johnston   

Kay    

Kingfisher    

Kiowa    

Latimer   

Le  Flore    

Lincoln    

Love    

Major   

Marshall    

Mayes  

McCurtam   

Mcintosh    

Murray    

Muskogee  

Noble    

Nowata    

Okfuskee  

Okmulgee  

Ottawa   

Pawnee    

Payne   

Pittsburg  

Pontotoc   

Pushmataha    

Roger  Mills  

Seminole  

Stephens   

Texas    

Tillman   

Washington  

Washita   

Woods    

Woodward   

OREGON 

Baker    

Benton  

Clatsop    

Columbia   

Coos    

Crook   

Curry    

Deschutes  

Douglas  

Gilliam    

Grant    


372 


Table  81. — Number  of  Full-time  Law  Enforcement  Employees,  Rural  Counties,  October  31,  1991— Continued 


County  by  State 

Tolal 

police 

employees 

Toial 
officers 

Tolal 
civilians 

Counly  by  Slale 

Tolal 

police 

employees 

Total 
officers 

Tolal 
civilians 

Counly  by  Slale 

Tolal 

police 

employees 

Tolal 
officers 

Total 
civilians 

OREGON— Cominued 

5 
17 
19 
53 
28 

6 
31 
64 
12 
14 

4 
18 
13 

4 

9 
28 

1 

8 

4 

38 

30 
10 
10 
17 
120 
13 
40 
38 
28 
44 
47 
60 
29 
24 
42 
46 
60 
19 
13 

111 
30 
37 
59 
47 
26 

18 
16 
36 
45 
59 
19 
69 
32 
35 

4 

10 

10 

5 

14 

23 

8 

1 

4 
1 

4 
14 
12 
39 
22 

6 
24 
48 
10 

9 

3 
15 
12 

3 

5 
20 

1 

7 

4 

31 

->■) 
9 
8 
10 
110 
12 
33 
26 
19 
28 
31 
39 
18 
13 
30 
36 
45 
11 
10 

100 
13 
30 
41 
37 
16 
18 
14 
7 
25 
33 
46 
10 
64 
24 
16 

3 
5 

10 
4 
9 

10 
4 
1 
3 
1 

1 

3 
7 
14 
6 

SOUIH  DAKOTA— 

Continued 

9 
3 
6 

5 
3 

13 
6 
7 
6 
2 

6 

12 
4 

2 
-> 

3 

1 

-> 

19 

-> 

2 
1 
1 
2 

7 
5 
3 
7 
1 

14 
3 

12 
3 
9 
3 

14 
2 
3 
8 
2 
7 

26 
80 
31 
20 
18 
39 
25 
33 
39 
24 
23 
12 
18 
24 
38 
44 
13 
13 
28 
19 
12 
48 
36 
13 
10 
11 
49 
27 
20 

3 

■> 

5 

4 

-) 

8 
5 
3 
3 

4 
4 
3 

T 
T 
T 
1 
1 
1  1 
-) 

2 
1 
1 

T 

4 

T 

3 

1 

12 

"t 

8 
3 

4 

T 

9 

T 

■> 

3 

T 

6 

13 

70 

31 

9 

8 

32 

14 

26 

37 

13 

14 

6 

9 

13 

12 

23 

8 

4 

19 

12 

7 

27 

30 

8 

4 

5 

41 

14 

17 

6 
1 
1 
1 
1 

5 
1 

4 
3 

2 
8 
1 

TEXAS 

40 
18 
53 
28 
11 

5 
6! 
31 

9 
20 
73 

g 
32 
1 1 

1 
18 
18 

3 

15 
23 
18 
39 
42 
31 
10 

9 
1 1 
25 
13 
54 
44 

9 
14 
12 

5 

9 
10 
18 
21 

8 
30 

5 
1 1 
11 
14 
10 

9 
11 
33 
10 
20 

6 
22 
10 
26 
14 
10 
37 
18 
24 
10 
12 

5 
13 
19 
57 
15 
11 
21 

3 
15 
20 
19 
17 
43 

18 
9 

24 
14 

7 
2 

18 

18 

3 

12 

20 

3 

II 

6 

1 

7 
5 
-) 

6 
12 

8 
24 

7 
22 
7 
5 
7 
13 
6 
22 

20 

3 
9 
7 
4 
5 
7 

12 
6 
3 

15 

T 

7 
7 
7 
4 
3 

10 
17 
5 
7 
2 

11 
5 

17 
7 
4 

21 

10 

10 
6 
6 
3 
5 
9 
6 
9 
7 
9 
2 
7 
9 

13 
9 

18 

22 

Hood  River    

9 

Angelina    

JetTcrson   

29 

Josephine   

Aransas   

14 

Klamath    

Archer    

4 

Lake 

3 

Lincoln    

7 
16 

2 

5 
1 
3 
1 
1 

4 
8 

Atascosa    

43 

Davison  

13 

Bailey   

Malheur    

Hav 

6 

Morrow    

Bandera  

8 

Sherman    

Bastrop    

53 

Tillamook    

Baylor    

5 

Umatilla   

Bee    

21 

Union  

Blanco    

5 

Wallowa    

Borden  

Wasco    

1 

Bosque  

11 

Wheeler  

Brewster   

13 

1 
7 

8 
1 
2 

7 
10 

1 

7 
12 

9 
16 
16 
21 
11 

I  1 
12 
10 
15 

8 
3 

I I 
17 

7 

18 
10 
10 
4 
4 
9 
11 
12 
13 
9 
5 
8 
19 

1 

5 

Briscoe  

1 

PENNSYLVANIA 

Harding  

1 

8 

Brooks   

9 

Brown     

1 1 

Clearfield    

Hutchinson    

10 

Burnet    

Jefferson   

15 

Warren     

3 

1 

1 
4 

1 
4 

5 
1 
5 

1 
5 

1 

13 
10 

Caldwell    

35 

Calhoun    

9 

SOUTH  CAROLINA 

"      

Callahan   

3 

Lake    

Camp     

4 

Carson   

Abbeville      

4 

Cass  

Allendale    

12 

Castro    

7 

McPherson    

32 

Cherokee    

Meade    

24 

Childress  

Calhoun    

6 

Moody   

Clav           

5 

5 

Coke          

Chesterfield 

Poller        -, 

1 

Coleman   

Sanborn  

4 

3 

Colorado  

Darlington   

Sully        

6 

Comanche    

Dillon  

15 

Edgefield  

LInion        

Concho    

5 

15 

Collie   

3 

TENNESSEE 

4 

Crockett    

4 

Horry    

Horry  Police 

Crosby   

7 

Culberson     

6 

6 

Jasper  

1 

Cocke   

Deaf  Smith   

16 

11 

10 

7 

11 

7 
2 

11 

9 

6 

9 

11 

26 

21 

5 

9 

9 

7 

5 

21 

6 

5 

6 

6 

8 

13 

3 

Delta  

5 

Dewili    

13 

Lee 

Dickens   

4 

Giles           

1  1 

Donley  

5 

Duval   

9 

Eastland    

7 

6 

Orangeburg   

Erath  

16 

8 

Fayette  

14 

Fisher  

4 

iVilliamsburg    

Flovd    

6 

■) 

SOUTH  DAKOTA 

8 

Freestone   

Frio   

Gaines    

10 

\urora 

Overton     

51 

ieadle 

Perry                      

6 

Garza   

4 

1 
5 

13 
4 

12 

Glasscock   

1 

8 

irule  

Gonzales  

11 

iufTalo  . 

6 

tutte 

1 

Weakley    

Grimes  

8 

ampbcll    

While  

Hale    J 

25 

373 


Table  81. — Number  of  Full-time  Law  Enforcement  Employees,  Rural  Counties,  October  31,  1991— Continued 


County  by  State 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


County  by  State 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


County  by  State 


Total 

police 

employees 


Total 
officers 


TEXAS— Continued 

Hall   

Hamilton    

Hansford    

Hardeman    

Hartley    

Haskell  

Hemphill    

Henderson   

Hill    

Hockley   

Hood    

Hopkins    

Houston    

Howard   

Hudspeth    

Hunt   

Hutchinson    

Irion    

Jack  

Jackson    

Jasper  

Jeff  Davis    

Jim  Hogg  

Jim  Wells    

Jones  

Karnes   

Kendall    

Kenedy    

Kent    

Kerr    

Kimble 

King    

Kinney  

Kleberg   

Knox  

Lamar    

Lamb    

Lampasas   

La  Salle  

Lavaca   

Lee  

Leon    

Limestone    

Lipscomb    

Live  Oak    

Llano    

Loving   

Lynn   

Madison    

Marion  

Martin    

Mason    

Matagorda   

Maverick     

McCulloch    

McMullen    

Medina    

Menard    

Milam    

Mills   

Mitchell  

Montague   

Moore    

Morris    

Motley   

Nacogdoches  

Navarro  

Newton    

Nolan   

Ochiltree  

Oldham   

Palo  Pinto  

Panola    

Parmer  

Pecos    


15 
69 
30 
20 
41 
36 
13 
26 
27 
44 
28 

5 

13 
17 
27 

2 
30 
26 
17 
15 
30 

7 

4 
40 

7 

2 
12 
38 

7 
43 
13 
15 
21 
19 
II 
17 
37 

9 
17 
21 

2 

12 
19 
12 

9 

5 
62 
35 

7 

3 
24 

9 
20 

8 
1 1 
20 
24 
14 

2 

40 
58 
12 
18 
16 
10 
41 
26 
I  1 


3 

7 

3 

4 

3 

3 

9 

27 

16 

10 

15 

17 

7 

13 

7 

21 

17 

3 

6 

7 

17 

2 

14 
14 
6 
7 
16 
7 


4 
9 
4 
4 
t 

5 

6 
42 
14 
10 
26 
19 

6 
13 
20 
23 
II 

2 

7 

10 
10 


TEXAS— Continued 

Polk  

Presidio  

Rains    

Reagan  

Real  

Red  River   

Reeves   

Refugio    

Roberts   

Robertson    

Runnels  

Rusk    

Sabine    

San  Augustine   

San  Jacinto   

San  Saba    

Schleicher  

Scurry  

Shackelford   

Shelby    

Sherman    

Somervell   

Starr    

Stephens   

Sterling    

Stonewall    

Sutton    

Swisher   

Terrell    

Terry  

Throckmorton    

Titus   

Trinity   

Tyler  

Upshur    

Upton — 

Uvalde  

Val  Verde    

Van  Zandt  

Walker   

Ward    

Washington   

Wharton    

Wheeler  

Wilbarger 

Willacy    

Wilson    

Winkler  

Wise    

Wood    

Yoakum    

Young    

Zapata   

Zavala    

UTAH 

Beaver    

Box  Elder    

Cache   

Carbon  

Daggett    

Duchesne   

Emery    

Grand  

Iron   

Juab    

Kane   

Morgan    

Piute   

Rich    

San  Juan    

Sanpete 

Sevier 

Summit 


UTAH— Continued 

Tooele    

Uintah   

Wasatch    

Wayne    

VERMONT 

Lamoille    

Orleans    

Windham    

VIRGINIA 

Accomack  

Alleghany    

Amelia   

Augusta   

Bath    .». 

Bedford   

Bland    

Brunswick    

Buchanan   

Buckingham    

Caroline    

Carroll   

Charlotte    

Clarke    

Craig  

Culpeper  

Cumberland    

Dickenson    

Essex  

Fauquier  

Floyd    

Franklin    

Frederick    

Giles   

Grayson    

Greensville    

Halifax  

Henry  

Highland  

Isle  of  Wight   

King  and  Queen    

King  George  

King  William   

Lancaster    

Lee  

Louisa    

Lunenburg  

Madison 

Mathews   

Mecklenburg  

Middlesex    

Montgomery   

Nelson    

Northhampton   

Northumberland   

Nottoway   

Orange  

Page    

Patrick   

Prince  Edward    

Pulaski   

Rappahannock  

Richmond    

Rockbridge    

Rockingham    

Russell   

Shenandoah    

Smyth  

Southampton    

Spotsylvania   

Surry  

Sussex    


31 

21 

13 

3 


4 
6 
13 


41 
30 

7 
61 
16 
50 
12 
17 
35 

9 
27 
31 
20 
10 

5 
50 

7 
25 

g 
53 
18 
49 
54 
24 
21 
25 
27 
71 

8 
21 

5 

13 
II 
19 
42 
19 

7 


21 

6 
38 
20 
23 
17 

9 
22 
32 
21 
13 
47 

6 
11 
55 
29 
37 
54 
39 
32 
35 

7 
29 


374 


Table  81.— Number  of  Full-time  Law  Enforcement  Employees,  Rural  Counties,  October  31,  1991 — Continued 


County  by  State 


Total 

police 

employees 


Total 
officers 


Total 
civilians 


County  by  State 


Tola! 

police 

employees 


Total 
ofTicers 


Total 
civilians 


Countv  bv  Slate 


Total 

police 

employees 


Total 
ofTicers 


VIRGINIA— Continued 

Tazewell    

Warren    

Westmoreland    

Wise    

Wythe    

WASHINGTON 

Adams   

Asotin    

Chelan    

Clallam    

Columbia   

Cowlitz    

Douglas  

Ferry  

Garfield  

Grant    

Grays  Harbor    

Island   

Jefferson    

Kittitas    

Klickitat    

Lewis    

Lincoln    

Mason    

Okanogan  

Pacific    

Pcnd  Oreille  

San  Juan    

Skagit    

Skamania   

Stevens    

Wahkiakum  

Walla  Walla   

Whitman     

WEST  VIRGINIA 

Barbour  

Berkeley    

Boone  

Braxton    

Talhoun    

riay  

Doddridge    

"ayette  

jilmer  

3rant    

jreenbrier  

Hampshire  

Hardy  

Harrison    

jckson    

L-Hcrson   

-ewis    

-incoln    

-ogan   


13 
24 

25 
6 

7 
4 

■) 

34 

9 

10 

28 

10 

4 

25 

17 

12 

18 

6 

36 


17 
10 
42 
28 

4 
47 
23 
10 

4 
33 
33 
31 
18 
22 
16 
45 
II 
32 
26 
10 
11 
16 
37 
17 
20 

5 

18 
13 


WEST  VIRGINIA- 
Continued 


Marion  

Mason    

McDowell    . 

Mercer  

Mingo    

Monongalia 

Monroe    

Morgan    

Nicholas  ... 
Pendleton  .. 
Pleasants  ... 
Pocahontas 
Preston  . , . . 
Raleigh  — 
Randolph   .. 

Ritchie  

Roane  

Summers  . . . 

Taylor    

Tucker   

Tyler  

Upshur    

Webster  

Wetzel    

Win    

Wyoming   .. 


WISCONSIN 


Adams    

Ashland  

Barron    

Bayfield  ...:... 

Buffalo  

Burnett    

Clark  

Columbia    

Crawford    

Dodge    

Door  

Dunn    

Florence    

Fond  Du  Lac 

Forest   

Grant    

Green   

Green  Lake  ... 

owa    

ron   

Jackson    

Jefferson   

Juneau   

Kewaunee    

Lafayette  

Langlade  

Lincoln    

Manitowoc 


WTSCONSIN- 

Continued 


Marinette   

Marquette    

Menominee   

Menominee  Tribal 
Police  Department 

Monroe    

Oconto  

Oneida  

Pepin    

Pierce  

Polk  

Portage    

Price   

Richland  

Rusk    

Sauk    

Sawyer  

Shawano   

Taylor    

Trempealeau  

Vernon    

Vilas   

Walworth   

Washburn  

Waupaca  

Waushara  

Wood    


WYOMING 


Albany   

Big  Horn    .. 
Campbell    .. 

Carbon  

Converse  

Crook   

Fremont    

Goshen    

Hot  Springs 
Johnson  .... 

Lincoln    

Niobrara   

Park    

Platte    

Sheridan   

Sublette   

Sweetwater    , 

Teton    

Uinla    

Washakie    ... 
Weston    


49 
21 
10 

16 
34 
31 
38 
9 
34 
29 
69 
20 
23 
21 
64 
21 
44 
23 
29 
22 
41 
145 
19 
34 
24 
68 


36 
13 
108 
31 
24 
19 
52 
13 
1 1 
11 
34 

5 
34 
16 
23 
28 
64 
51 
57 

9 
II 


OTHER  AREAS 


Guam   

Puerto  Rico 


422 
13.861 


331 

12,073 


375 


SECTION  VII 
APPENDIX  I 

Methodology 


The  information  compiled  by  UCR  contributors  is 
forwarded  to  the  FBI  either  directly  from  the  local  law 
enforcement  agency  or  through  a  state-level  UCR  Program. 
Agencies  submitting  directly  to  the  FBI  are  provided 
continuing  guidance  and  support  on  an  individual  basis. 

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

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

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

To  fulfill  its  responsibilities  in  connection  with  the  UCR 
Program,  the  FBI  continues  to  edit  and  review  individual 
agency  reports  for  both  completeness  and  quality;  has 
direct  contact  with  individual  contributors  within  the  state 
when  necessary  in  connection  with  crime  reporting  mat- 


ters, coordinating  such  contact  with  the  state  agency;  and 
upon  request,  conducts  training  programs  within  the  state 
on  law  enforcement  records  and  crime  reporting  proce- 
dures. Should  circumstances  develop  whereby  the  state 
agency  does  not  comply  with  the  aforementioned  require- 
ments, the  national  Program  may  reinstitute  a  direct 
collection  of  Uniform  Crime  Reports  from  law  enforce- 
ment agencies  within  the  state. 
Reporting  Procedures 

Based  on  records  of  all  reports  of  crime  received  from 
victims,  officers  who  discover  infractions,  or  other  sources, 
law  enforcement  agencies  across  the  country  tabulate  the 
number  of  Crime  Index  or  Part  I  offenses  brought  to  their 
attention  each  month.  Specifically,  the  crimes  reported  to 
the  FBI  are  murder  and  nonnegligent  manslaughter,  forci- 
ble rape,  robbery,  aggravated  assault,  burglary,  larceny- 
theft,  motor  vehicle  theft,  and  arson. 

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

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

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

Various   data   on   law   enforcement   officers   killed   or 
assaulted  are  collected  on  a  monthly  basis.  The  number  of 
full-time  sworn  and  civilian  personnel  are  reported  annual- 
ly, as  of  October  31. 
Editing  Procedures 

Each  report  submitted  to  the  UCR  Program  is  thorough- 
ly examined  for  arithmetical  accuracy  and  for  deviations 


376 


which  may  indicate  errors.  To  identify  any  unusual  fluctu- 
ations in  an  agency's  crime  counts,  monthly  reports  arc 
compared  with  previous  submissions  of  the  agency  and 
with  those  for  similar  agencies.  Large  variations  in  crime 
levels  may  indicate  modified  records  procedures,  incom- 
plete reporting,  or  changes  in  the  jurisdiction's  geopolitical 
structure. 

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

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

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

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

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

Tables  1  through  5  and  7  of  this  publication  contain 
statistics  for  the  entire  United  States.  Because  not  all  law 


enforcement  agencies  provide  data  for  complete  reporting 
periods,  estimated  crime  counts  are  included  in  these 
presentations.  Offense  estimation  occurs  within  each  of 
three  areas:  Metropolitan  Statistical  Areas  (MSAs),  cities 
outside  MSAs,  and  rural  counties.  Using  the  known  crime 
experiences  of  similar  areas  within  a  state,  the  estimates 
are  computed  by  assigning  the  same  proportional  crime 
volumes  to  nonreporting  agencies. 

Unique  estimation  procedures  were  used  to  produce 
estimated  1985  through  1991  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  and  8 
through  1 1,  which  present  individual  city,  county,  univer- 
sity/college, and  MSA  data  for  Illinois  agencies.  Since  the 
data  supplied  were  not  comparable  with  those  provided  for 
other  agencies  across  the  country,  the  post- 1984  forcible 
rape  figures  have  been  estimated  using  national  rates  per 
100,000  inhabitants  within  the  eight  population  groups 
and  assigning  the  forcible  rape  volumes  proportionally. 

Due  to  reporting  problems  at  the  state  levels,  no  usable 
1988  data  were  received  for  local  law  enforcement  agencies 
in  Florida  and  Kentucky.  For  Table  1  of  this  publication, 
1988  offense  totals  for  these  two  states  were  estimated. 
Previous  valid  annual  totals,  by  population  group,  were 
updated  for  the  states  by  applying  percentage  changes  for 
each  offense  within  each  population  group  of  the  geograph- 
ic division  in  which  the  state  resides.  The  state  totals  were 
compiled  from  the  sums  of  the  population  group  estimates. 
Reporting  recommenced  for  both  states  during  1989  and 
usable  data  have  since  been  received. 

This  same  procedure  was  used  to  estimate  Iowa  crime 
counts  for  1991.  Because  of  efforts  to  convert  to  the 
National  Incident-Based  Reporting  System  within  that 
state,  no  summary  totals  for  local  law  enforcement  agen- 
cies could  be  generated. 

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 timeframes  or  when  it  is  ascertained  that  unusual 
fluctuations  are  due  to  such  variables  as  improved  records 
procedures,  annexations,  etc. 

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


I 


377 


Table  Methodology 

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  8  through  11,  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  on  varied  levels  of  submission.  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. 
Designed  to  assist  the  reader,  this  appendix  explains  the 
construction  of  many  tabular  presentations  in  the  book. 
The  following  key  refers  to  the  columnar  headings  used 
throughout  the  appendix. 

Key;    A)    Column  1  shows  the  table  numbers.  Included 
are  Tables  1  through  69,  Crime  in  the 
United  Stales  -  1991. 
B)     Column  2   indicates  the  level  of  submission 
necessary  for  an  agency's  statistics  to  be  in- 
cluded in  a  table. 


C)  Column  3  explains  how  each  table  was  con- 
structed. Data  adjustments,  if  any,  are  dis- 
cussed along  with  various  definitions  of  data 
aggregation. 

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


378 


(2) 
Data  Base 


(3) 
Table  Conslruclion 


(4) 
General  Comments 


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


All  law  enforeement  agencies  in  the  UCR  Program 
(includmg  those  submitting  less  than  12  months  in 
1991). 


All  law  enforcement  agencies  in  the  UCR  Program 
(including  those  submitting  less  than  12  months  in 
1991). 

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


All  law  enforcement  agencies  in  the  UCR  Program 
(including  those  submitting  less  than  12  months  in 
1991). 


All  law  enforcement  agencies  in  the  UCR  Program 
(including  those  submitting  less  than  12  months  in 
1991.) 


All  law  enforcement  agencies  in  the  UCR  Program 
(including  those  submitting  less  than  12  months  in 
1991). 


Ail   law  enforcement   agencies  submitting  complete 
reports  for  12  months  in  1991. 


The  1991  statistics  are  consistent  with  Table  2.  Pre- 
1991  crime  statistics  may  have  been  updated,  and 
hence,  may  not  be  consistent  with  prior  publica- 
tions. Crime  statistics  include  estimated  offense 
totals  for  agencies  submitting  less  than  12  months 
of  offense  reports  for  each  year.  Population  statis 
tics  represent  Jul>  I  provisional  estimations  for 
each  year  except  1980  and  1990.  which  are  Bureau 
of  the  Census  decennial  census  data  (see  App.  Ill) 
Crime  volume  statistics  are  rounded  to  the  nearest 
10  for  violent  crime  and  the  nearest  100  for 
property  crime.  Percent  changes  and  rates  arc 
computed  prior  to  rounding. 

Statistics  are  aggregated  from  individual  state  statis- 
tics as  shown  in  Table  5.  Crime  statistics  include 
estimated  offense  totals  for  agencies  submitting  less 
than  12  months  of  offense  reports.  Population 
statistics  represent  July  1.  1991.  Bureau  of  the 
Census  provisional  estimates.  See  Appendix  III  for 
UCR  population  breakdowns. 

Regional  offense  distributions  are  computed  from 
volume  figures  as  shown  in  Table  4,  Population 
distributions  are  based  on  July  1,  1991,  Bureau  of 
the  Census  provisional  estimates  (see  App.  III). 

The  1991  statistics  are  aggregated  from  individual 
stale  statistics  as  shown  in  Table  5.  Crime  statistics 
include  estimated  offense  totals  for  agencies  sub- 
mitting less  than  12  months  of  offense  reports  for 
1990  and  1991.  Population  statistics  represent 
July  1  provisional  estimates  for  1991  and  decennial 
census  data  for  1990  (see  App.  III). 


Crime  statistics  include  estimated  offense  totals  for 
agencies  submitting  less  than  12  months  of  offense 
reports,  Population  statistics  represent  1991  esti 
mates  (see  App.  III).  Statistics  under  the  heading 
"Area  Actually  Reporting"  represent  reported  of- 
fense totals  for  agencies  submitting  12  months  of 
offense  reports  and  estimated  totals  for  agencies 
submitting  less  than  12  but  more  than  2  months  of 
offense  reports.  The  statistics  under  the  heading 
■'Estimated  Totals"  represent  the  above  plus  esti- 
mated offense  totals  for  agencies  having  less  than  3 
months  of  offense  reports. 

Statistics  are  published  for  all  Metropolitan  Statistical 
.Areas  (MSAs)  having  at  least  75%  reporting.  Fig- 
ures are  listed  for  central  cities  of  the  MSAs  if  the 
cities  submitted  12  months  of  data  in  1991.  Crime 
statistics  include  estimated  offense  totals  for  agen 
cies  submitting  less  than  12  months  of  offense 
statistics  for  1991  Population  statistics  represent 
July  1.  1991.  Bureau  of  the  Census  provisional 
estimates.  The  statistics  under  the  heading  "Area 
Actually  Reporting"  represent  reported  offense 
totals  for  agencies  submitting  all  12  months  of 
offense  reports  plus  estimated  offense  totals  for 
agencies  submitting  less  than  12  but  more  than  2 
months  of  offense  reports.  The  statistics  under  the 
heading  "Estimated  Total"  represent  the  above 
plus  the  estimated  offense  totals  for  agencies  sub- 
mitting less  than  3  months  of  offense  reports.  The 
tabular  breakdowns  are  according  to  UCR  defini 
tions  (see  App.  II). 

Offense  totals  are  for  alt  Index  offense  categories  other 
than  aggravated  assault.  Crime  statistics  include 
estimated  offense  totals  for  agencies  submitting  less 
than  12  months  of  offense  reports  for  each  year 


"Cities  and  Towns"  are  defined  to  be  agencies  in 
Population  Groups  1  through  V  (App.  III).  The 
agency  populations  are  1991  estimates  for  each 
agency  (see  App.  III). 


Represents  an  estimation  of  national  reported 
crime  activity  from   1972  through   1991. 


Represents  an  estimation  of  national  reported 
crime  activity  in  1991. 


Represents  the  1991  geographical  distribution 
of  estimated  Crime  Index  offenses  and  pop- 
ulation. 


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

1.  national  level 

2.  regional  level 

3.  division  level 

4.  state  level 

Any  comparison  of  UCR  statistics  should 
take  into  consideration  demographic  fac- 
tors. 

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


Represents  an  estimation  of  the  reported  crime 
activity  for  Index  offenses  at  individual 
MSA  level.  Any  comparison  of  UCR  statis- 
tics should  take  into  consideration  demo- 
graphic factors. 


Represents  estimation  of  national  reported 
crime  activity  from  1987  through  1991. 
Aggravated  assault  is  excluded  from  Table  7, 
because  if  money  or  property  is  taken  in 
connection  with  an  assault  the  offense  is 
robberv. 

Represents  reported  crime  activity  of  individu- 
al agencies  in  cities  and  towns  10.000  and 
over  in  population.  Any  comparison  of 
UCR  statistics  should  take  into  consider- 
ation demographic  factors. 


379 


(2) 
Data  Base 


(3) 
Table  Conslruclion 


(4) 
General  Comments 


All  university/college  law  enforcement  agencies  sub- 
mitting complete  reports  for  12  months  in  1991 


All   law  enforcement   agencies  submittmg  complete 
reports  for  12  months  in  1991. 


All   law  enforcement   agencies  submitting  complete 
reports  for  12  months  in   1991. 


All  law  enforcement  agencies  submittmg  complete 
reports  for  at  least  6  common  months  in  1990  and 
1991. 


All   law  enforcement   agencies  submittmg  complete 
reports  for  12  months  m  1991. 


All  law  enforcement  agencies  submitting  Supplemen- 
tary Homicide  Report  (SHR)  data  m   1991. 


All   law  enforcement   agencies  submitting  complete 
reports  for  12  months  in   1991. 

All   law  enforcement   agencies  submitting  complete 
reports  for  at  least  6  months  m   1991, 


All   law  enforcement   agencies  submitting  complete 
reports  for  at  least  6  months  in   1991. 


The  1990  student  enrollment  figures,  which  are  pro- 
vided by  the  U.  S.  Department  of  Education,  are 
the  most  recent  available.  They  include  full-  and 
part-time  students.  No  adjustments  to  equate  part- 
time  enrollments  into  full-time  equivalents  have 
been  made. 


"Suburban  Counties"  are  defined  as  the  areas  covered 
by  noncity  agencies  within  an  MSA  (App.  III). 
Population  estimates  of  suburban  counties  are  as  of 
July  1.  1991. 


"Rural  Counties"  are  those  outside  MSAs  and  whose 
jurisdictions  are  not  covered  by  city  police  agencies 
(App.  III).  Population  classifications  of  rural  coun- 
ties are  based  on  1991  estimates  for  individual 
agencies  (see  App.  111). 


The  1991  crime  trend  statistics  are  2-year  comparisons 
based  on  1991  reported  crime  activity.  Only  com- 
mon reported  months  for  individual  agencies  are 
included  in  1991  trend  calculations.  Populations 
represent  July  I.  1991,  estimates  for  individual 
agencies.  Sec  Appendix  III  for  UCR  population 
breakdowns.  Note  that  "Suburban  and  Nonsubur- 
ban  Cities"  are  all  municipal  agencies  other  than 
central  cities  in  MSAs. 

The  1991  crime  rates  are  the  ratios  of  the  aggregated 
1991  crime  volumes  and  the  aggregated  1991 
populations  of  the  contributing  agencies.  Popula- 
tion statistics  represent  1991  estimates  for  individ- 
ual agencies.  See  Appendix  III  for  UCR  population 
breakdowns.  Note  that  "Suburban  and  Nonsubur- 
ban  Cities"  are  all  municipal  agencies  other  than 
central  cities  in  MSAs. 


The  weapon  totals  are  the  aggregate  for  each  murder 
victim  recorded  on  the  SHRs  for  calendar  year 
1991. 

The  weapon  totals  are  aggregated  1991  totals.  Popula- 
tion statistics  represent   1991  estimates. 

OtTense  total  and  value  lost  total  are  computed  for  all 
Index  otTense  categories  other  than  aggravated 
assault.  Percent  distribution  is  derived  based  on 
offense  total  of  each  Index  ofi"ense.  Trend  statistics 
are  derived  based  on  agencies  with  at  least  6 
common  months  complete  for  1990  and   1991. 

The  1991  clearance  rales  are  based  on  offense  and 
clearance  volume  totals  of  the  contributing  agen- 
cies for  1991,  Population  statistics  represent  1991 
estimates.  See  Appendix  III  for  UCR  population 
breakdowns. 


Represents  reported  crime  from  those  individu- 
al university/college  law  enforcement  agen- 
cies contributing  to  the  UCR  Program. 
These  agencies  are  listed  alphabetically  by 
stale.  Any  comparison  of  these  UCR  statis- 
tics should  take  into  consideration  size  of 
enrollment,  number  of  on-campus  residents, 
plus  other  demographic  factors. 

Represents  crime  reported  to  individual  law 
enforcement  agencies  in  suburban  counties, 
i.e..  the  individual  sheriffs  office,  county 
police  department,  highway  patrol,  and/or 
state  police.  These  figures  do  not  represent 
the  county  totals  since  they  exclude  city 
crime  counts.  Any  comparison  of  UCR 
statistics  should  lake  into  consideration  de- 
mographic factors. 

Represents  crime  reported  to  individual  rural 
county  taw  enforcement  agencies  covering 
populations  25,000  and  over,  i.e.,  the  indi- 
vidual sheriffs  office,  county  police  depart- 
ment, highway  patrol,  and/or  state  police. 
These  figures  do  not  represent  the  county 
totals  since  they  exclude  city  crime  counts. 
Any  comparison  of  UCR  statistics  should 
take  into  consideration  demographic  fac- 
tors. 

Slight  decrease  in  national  coverage  for 
Table  1  5  due  to  editing  procedure  and  lower 
submission  rate. 


The  forcible  rape  figures  furnished  by  the 
Illinois  state-level  UCR  Program  were  not  in 
accordance  with  national  guidelines.  For 
inclusion  in  these  tables,  the  Illinois  forcible 
rape  figures  were  estimated  by  using  the 
national  rates  for  each  population  group 
applied  to  the  population  by  group  for 
Illinois  agencies  supplying  all  12  months  of 
data.  Slight  decrease  in  national  coverage  for 
Table  19  due  to  editing  procedure  and  lower 
submission  rate. 

The  SHR  is  the  monthly  report  form  concern- 
ing homicides.  It  details  victim  and  offender 
characteristics,  circumstances,  weapons 
used.  etc. 


Aggravated  assault  is  excluded  from  Table  33. 
For  UCR  Program  purposes,  the  taking  of 
money  or  property  in  connection  with  an 
assault  IS  reported  as  a  robbery. 


380 


(2) 
Data  Base 


(3) 
Table  Construction 


(4) 
General  Comments 


All  law  enforcement  agencies  in  the  VCR  Program 
(including  those  submitting  less  than  12  months  in 
1991) 


All  law  enforcement  agencies  submitting  complete 
reports  for  12  months  in  1991. 


All  law  enforcement  agencies  submitting  complete 
reports  for  12  months  in  1982  and  1991. 


All   law  enforcement   agencies  submitting  complete 
reports  for  12  months  in  1987  and   1991. 


All  law  enforcement   agencies  submitting  complete 
reports  for  12  months  in   1990  and  1991. 


All   law  enforcement   agencies  submitting  complete 
repwrts  for  12  months  in  1991. 

All  city  law  enforcement  agencies  submitting  complete 
reports  for  12  months  m  1990  and  1991. 


All  city  law  enforcement  agencies  submitting  complete 
reports  for  12  months  in  1990  and  1991. 

All  suburban  county  law  enforcement  agencies  submit 
ting  complete  reports  for  12  months  in  1990  and 
1991. 


All  suburban  county  law  enforcement  agencies  submit- 
ting complete  reports  for  12  months  in  1991. 

All  rural  county  law  enforcement  agencies  submitting 
complete  reports  for  12  months  in  1990  and  1991 


All  rural  county  law  enforcement  agencies  submitting 
complete  reports  for  12  months  in   1991. 

All  suburban  area  law  enforcement  agencies  submit- 
ting complete  reports  for  12  months  in  1990  and 
1991. 


All  suburban  area  law  enforcement  agencies  submit- 
ting complete  reports  for  12  months  in  1991. 


The  arrest  totals  presented  are  national  estimates 
based  on  the  arrest  statistics  of  all  law  enforcement 
agencies  in  the  UCR  Program  (including  those 
submitting  less  than  12  months).  The  "Total  Esti- 
mated  Arrests"  statistic  is  the  sum  of  estimated 
arrest  volumes  for  each  of  the  29  offenses.  Each 
individual  arrest  total  is  the  sum  of  the  estimated 
volumes  within  each  of  the  eight  population  groups 
(App.  III).  Each  group's  estimate  is  the  reported 
volume  (as  shown  in  Table  31)  divided  by  the 
percent  of  total  group  population  reporting 
(according  to  1 99 1  Bureau  of  the  Census  provision- 
al estimates;  see  App.  III). 

The  1991  arrest  rates  are  the  ratios,  per  100,000 
inhabitants,  of  the  aggregated  1991  reported  arrest 
statistics  and  population.  The  population  statistics 
represent  July  1.  1991,  estimates.  See  Appendix  III 
for  UCR  population  classiflcations/geographical 
configuration. 

The  arrest  trends  are  the  percentage  differences 
between  1982  and  1991  arrest  volumes  aggregated 
from  all  common  agencies.  Population  statistics 
represent  July  1  estimates  for  1982  and  1991  (see 
App.  III). 

The  arrest  trends  are  the  percentage  differences 
between  1987  and  1991  arrest  volumes  aggregated 
from  common  agencies.  Population  statistics  repre- 
sent July  1  estimates  for  1987  and  1991  (see  App. 
III). 

The  arrest  trends  are  2-year  comparisons  between 
1990  and  1991  arrest  volumes  aggregated  from 
common  agencies.  Population  statistics  represent 
decennial  Census  counts  for  1990  and  July  1 
estimates  for  1991  (see  App.  III). 


The  1991.  city  arrest  trends  represent  the  percentage 
differences  between  1990  and  1991  arrest  volumes 
aggregated  from  common  city  agencies.  "City 
Agencies"  are  defined  to  be  all  agencies  within 
Population  Groups  I-VI  (App.  III). 

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

The  1991  suburban  county  arrest  trends  represent 
percentage  differences  between  1990  and  1991 
volumes  aggregated  from  contributing  agencies. 
"Suburban  Counties"  are  defined  as  the  areas 
covered  by  noncity  agencies  within  an  MSA 
(App.  III). 

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

The  1991  rural  county  arrest  trends  represent  percent- 
age differences  between  1990  and  1991  volumes 
aggregated  from  contributing  agencies.  "Rural 
Counties"  are  defined  as  noncity  agencies  outside 
MSAs  (App.  III). 

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

The  1991  suburban  area  arrest  trends  represent  per- 
centage differences  between  1990  and  1991  arrest 
volumes  aggregated  from  contributing  agencies. 
"Suburban  Area"  is  defined  as  cities  with  fewer 
than  50,000  inhabitants  and  all  counties  within 
MSAs  (App.  III). 

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


Slight  decrease  in  coverage  for  Table  43  due  to 
editing  procedure  and  lower  submission  of 
race  data. 


Slight  decrease  in  coverage  for  Table  49  due  to 
editing  procedure  and  lower  submission  of 
race  data. 


Slight  decrease  in  coverage  for  Table  55  due  to 
editing  procedure  and  lower  submission  of 
race  data. 


Slight  decrease  in  coverage  for  Table  61  due  to 
editing  procedure  and  lower  submission  of 
race  data. 


Slight  decrease  in  coverage  for  Table  67  due  to 
editing  procedure  and  lower  submission  of 
race  data. 


381 


(1) 

Table 

(2) 
Data  Base 

0) 
Table  Construction 

(4) 
General  Comments 

68 

All   law  enforcement   agencies  submitting  complete 
reports  for  12  months  in   1991. 

Arrest  totals  are  aggregated  for  individual  agencies 
within  each  state.  Population  figures  represent 
July  1,  1991,  estimates  (see  App.  111). 

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

69 

All   law  enforcement   agencies  submitting  complete 
reports  for  12  months  in   1991. 

Population  statistics  represent  July  1.  1991.  estimates 
for  individual  agencies.  See  Appendix  III  for 
definitions  of  the  population  classifications  pre- 
sented. 

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

382 


APPENDIX  II 


Offenses  in  Uniform  Crime  Reporting 


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

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

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

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

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

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

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

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


Arson. — Any    willful    or    malicious    burning    or 
attempt  to  burn,  with  or  without   intent  to  defraud,  a 
dwelling  house,  public  building,  motor  vehicle  or  aircraft, 
personal  property  of  another,  etc. 
The  Part  II  offenses  are: 

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

Forgery  and  counterfeiting. — Making,  altering, 
uttering,  or  possessing,  with  intent  to  defraud,  anything 
false  in  the  semblance  of  that  which  is  true.  Attempts  are 
included. 

Fraud. — Fraudulent  conversion  and  obtaining 
money  or  property  by  false  pretenses.  Included  are  confi- 
dence games  and  bad  checks,  except  forgeries  and  counter- 
feiting. 

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

Stolen  property;  buying,  receiving,  possessing. — 
Buying,  receiving,  and  possessing  stolen  property,  includ- 
ing attempts. 

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

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

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

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

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

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

Offenses  against  the  family  and  children. — Nonsup- 
port,  neglect,  desertion,  or  abuse  of  family  and  children. 

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


383 


Liquor  laws. — State  or  local  liquor  law  violations.  Suspicion. — No  specific  offense;  suspect  released 

except  "drunkenness"  and  "driving  under  the  influence."  without  formal  charges  being  placed. 

Federal  violations  are  excluded.  Curfew  and  loitering  laws  (persons  under  age  18).— 

Drunkenness. — Offenses  relating  to  drunkenness  or  Offenses  relating  to  violations  of  local  curfew  or  loitering 

intoxication.  Excluded  is  "driving  under  the  influence."  ordinances  where  such  laws  exist. 

Disorderly  conduct. — Breach  of  the  peace.  Runaways    (persons    under   age    18). — Limited    to 

Vagrancy.— Vagabondage,  begging,  loitering,  etc.  juveniles  taken  into  protective  custody  under  provisions  of 

All  other  offenses.— All  violations  of  state  or  local  '°'^^'  statutes, 
laws,  except  those  listed  above  and  traffic  offenses. 


384 


APPENDIX  III 


Uniform  Crime  Reporting  Area  Definitions 


The  presentation  of  statistics  by  reporting  area  facilitates 
analyzing  local  crime  counts  in  conjunction  with  those  for 
areas  of  similar  geographical  location  or  population  size. 
Geographically,  the  United  States  is  divisible  by  regions, 
divisions,  and  states.  Further  breakdowns  rely  on  popula- 
tion figures  and  proximity  to  metropolitan  areas.  As  a 
general  rule,  sheriffs,  county  police,  and  state  police  report 
crimes  committed  within  the  limits  of  counties  but  outside 
cities,  while  local  police  report  crimes  committed  within 
the  city  limits. 

Community  Types 

UCR  data  are  often  presented  in  aggregations  represent- 
ing three  types  of  communities: 

1.  Metropolitan  Statistical  Areas  (MSAs)  -  Each  MSA 
includes  a  central  city  of  at  least  50.000  people  or  an 
urbanized  area  of  at  least  50.000.  The  county  containing 
the  central  city  and  other  contiguous  counties  having 
strong  economic  and  social  ties  to  the  central  city  and 
county  are  also  included.  Counties  in  an  MSA  are  designat- 
ed "suburban"  for  UCR  purposes.  An  MSA  may  cross  state 
lines.  The  MSA  concept  facilitates  the  analysis  and  presen- 
tation of  uniform  statistical  data  on  metropolitan  areas  by 
establishing  reporting  units  which  represent  major  popula- 
tion centers.  Due  to  changes  in  the  geographic  composition 
of  MSAs,  no  year-to-year  comparisons  of  data  for  those 
areas  should  be  attempted. 

New  England  MSAs  are  comprised  of  cities  and  towns 
instead  of  counties.  In  this  publication's  tabular  presenta- 
tions. New  England  cities  and  towns  are  assigned  to  the 
proper  MSA.  Some  counties,  however,  have  both  suburban 
and  rural  portions.  Data  for  state  police  and  sheriffs  in 
those  jurisdictions  are  included  in  statistics  for  the  rural 
area. 

MSAs  made  up  approximately  77  percent  of  the  total 
United  States  population  in  1991.  Some  presentations  in 
this  book  refer  to  "suburban  area."  A  suburban  area 
includes  cities  with  less  than  50,000  inhabitants  in  addi- 
tion to  counties  (unincorporated  areas)  within  the  MSA. 
The  central  cities  are,  of  course,  excluded.  The  concept  of 
suburban  area  is  especially  important  because  of  the 
particular  crime  conditions  which  exist  in  the  communities 
surrounding  the  Nation's  largest  cities. 

2.  Cities  Outside  MSAs  -  Cities  outside  of  MSAs  are 
mostly  incorporated.  They  comprised  9  percent  of  the 
1991  population  of  the  United  States. 

3.  Rural  Counties  Outside  MSAs  -  Rural  counties 
outside  of  MSAs  are  comprised  of  mostly  unincorporated 


areas.  Law  enforcement  agencies  in  rural  counties  cover 
areas  that  are  not  under  the  jurisdiction  of  city  police 
departments.  Rural  county  law  enforcement  agencies  ser- 
viced  14  percent  of  the  national  population  in  1991. 
The  following  is  an  illustration  of  the  community  types: 


MSA 

NON-MSA 

CITIES 

CENTRAL  CITIES 
50,000  AND  OVER 

CITIES 
OUTSIDE 

METROPOLITAN 
AREAS 

SUBURBAN 
CITIES 

COUNTIES 

(including 
unincorporated  areas) 

SUBURBAN 
COUNTIES 

RURAL 
COUNTIES 

Population  Groups 

The  population  group  classifications  used  by  the  UCR 
Program  are: 

Political  Population 

Population  Group                 Label  Range 

I  City  250,000  and  over 

II  City  100,000  to  249,999 

III  City  50,000  to  99,999 

IV  City  25,000  to  49,999 

V  City  10,000  to  24,999 

VI  Cityi  Less  than  10,000 

VIII  (Rural  County)  County-  N/A 

IX  (Suburban  County)  County^  N/A 

'  Includes  universities  and  colleges  to  which  no  population 
is  attributed. 

-  Includes  state  police  to  which  no  population  is  attrib- 
uted. 

The  major  source  of  UCR  data  is  the  individual  law 
enforcement  agency.  The  number  of  agencies  included  in 
each  population  group  will  vary  slightly  from  year  to  year 
due  to  population  growth,  geopolitical  consolidation, 
municipal  incorporation,  etc.  Population  figures  for  indi- 
vidual jurisdictions  are  estimated  by  the  UCR  Program  in 
noncensus  years.  In  this  edition,  the  population  counts  are 
based  on  July  1.  1991,  Bureau  of  the  Census  state 
estimates.  For  all  jurisdictions  within  each  state,  the 
populations  were  adjusted  based  on  the  1991  growth  rate 
as  supplied  by  Census.  The  United  States  population 
estimate  showed  a  1-percent  increase  in  1991  over  the 
1990  Census  counts. 


385 


The  following  table  shows  the  number  of  UCR  contrib- 
uting agencies  within  each  population  group  for  1991. 

Population  Number  of  Population 

Group  Agencies  Covered 

I  64  45,927,253 

II  134      19,755.627 

III  354      24,236.116 

IV  704      24,422.486 

V  1,703      26,788.645 

VI  7,700'     25,225,593 

VIII  (Rural  County)  3,748-  34,167,587 

IX  (Suburban  County)  ....  1,742-  51,657,693 

Total    16,149  252,177,000' 

'  Includes  universities  and  colleges  to  which  no  population  is  attrib- 
uted. 

-Includes  state  police  to  which  no  population  is  attributed. 
'Because  of  Bureau  of  the  Census  rounding,  the  population  covered 
does  not  add  to  total. 

Regions  and  Divisions 

As  shown  in  the  accompanying  map,  the  United  States  is 
comprised  of  four  regions:  the  Northeastern  States,  the 
Midwestern  States,  the  Southern  States,  and  the  Western 
States.  These  regions  are  further  divided  into  nine  divi- 
sions. The  following  table  delineates  the  regional,  division- 
al, and  state  configuration  of  the  country. 

NORTHEASTERN  STATES 

New  England  Middle  Atlantic 

Connecticut  New  Jersey 

Maine  New  York 

Massachusetts  Pennsylvania 

New  Hampshire 
Rhode  Island 
Vermont 


MIDWESTERN  STATES 


East  North  Central 

West  North  Central 

Illinois 

Iowa 

Indiana 

Kansas 

Michigan 

Minnesota 

Ohio 

Missouri 

Wisconsin 

Nebraska 

North  Dakota 

South  Dakota 

SOUTHERN 

STATES 

South  Atlantic 

East  South  Central 

Delaware 

Alabama 

District  of  Columbia 

Kentucky 

Florida 

Mississippi 

Georgia 

Tennessee 

Maryland 

North  Carolina 

West  South  Central 

South  Carolina 

Arkansas 

Virginia 

Louisiana 

West  Virginia 

Oklahoma 

Texas 

WESTERN 

STATES 

Mountain 

Pacific 

Arizona 

Alaska 

Colorado 

California 

Idaho 

Hawaii 

Montana 

Oregon 

Nevada 

Washington 

New  Mexico 

Utah 

Wyoming 

386 


REGIONS 

AND  DIVISIONS 

OFTHE  UNITED  STATES 


387 


APPENDIX  IV 

The  Nation's  Two  Crime  Measures 


The  U.  S.  Department  of  Justice  administers  two 
statistical  programs  to  measure  the  magnitude,  nature,  and 
impact  of  crime  in  the  United  States:  the  Uniform  Crime 
Reporting  (UCR)  Program  and  the  National  Crime  Vic- 
timization Survey  (NCVS).  Because  of  differences  in 
methodology  and  crime  coverage,  the  results  from  the  two 
programs  are  not  strictly  comparable  nor  consistent.  By 
complementing  each  other's  findings,  the  two  programs 
enhance  our  understanding  of  the  Nation's  crime  problem. 
Uniform  Crime  Reports 

The  FBI's  UCR  Program,  which  began  in  1929,  collects 
information  on  the  following  crimes  reported  to  law 
enforcement  authorities:  homicide,  forcible  rape,  robbery, 
aggravated  assault,  burglary,  larceny-theft,  motor  vehicle 
theft,  and  arson. 

The  UCR  data  are  compiled  from  monthly  law  enforce- 
ment reports  made  directly  to  the  FBI  or  to  centralized 
state  agencies  that  then  report  to  the  FBI.  Each  report 
submitted  to  the  UCR  Program  is  examined  thoroughly  for 
reasonableness,  accuracy,  and  deviations  that  may  indicate 
errors.  Large  variations  in  crime  levels  may  indicate 
modified  records  procedures,  incomplete  reporting,  or 
changes  in  a  jurisdiction's  boundaries.  To  identify  any 
unusual  fluctuations  in  an  agency's  crime  counts,  monthly 
reports  are  compared  with  previous  submissions  of  the 
agency  and  with  those  for  similar  agencies. 

Law  enforcement  agencies  active  in  the  UCR  Program 
represent  approximately  241  million  United  States  inhabi- 
tants— 96%  of  the  total  U.  S.  population.' 

The  UCR  Program  provides  crime  counts  for  the  Nation 
as  a  whole,  as  well  as  for  regions,  states,  counties,  cities, 
and  towns.  This  permits  studies  among  neighboring  juris- 
dictions and  among  those  with  similar  populations  and 
other  common  characteristics. 

UCR  findings  for  each  calendar  year  are  published 
initially  in  a  preliminary  release  in  the  spring  followed  by  a 
detailed  annual  report.  Crime  in  the  United  Slates,  issued 
in  the  summer  following  the  calendar  year.  In  addition  to 
information  on  crime  counts  and  trends,  this  report 
includes  detailed  data  on  crimes  cleared,  persons  arrested 
(age,  sex,  race)  for  a  wide  range  of  crimes,  law  enforcement 
personnel  (including  the  number  of  sworn  officers  killed  or 
assaulted),  and  the  characteristics  of  homicides  (including 
age,  sex,  and  race  of  victims,  victim-offender  relationships, 
weapons  used,  and  circumstances  surrounding  the  homi- 
cides). Other  special  reports  are  also  available  from  the 
UCR  Program. 

Following  a  5-year  redesign  effort,  the  UCR  Program  is 
currently  converting  to  a  more  comprehensive  and  detailed 


reporting    system,    called    the    National    Incident-Based 
Reporting  System  (NIBRS).  NIBRS  will  provide  detailed 
information  about  each  criminal  incident   in   22  broad 
categories  of  offenses. 
National  Crime  Victimization  Survey 

The  Bureau  of  Justice  Statistics'  (BJS)  NCVS,  which 
began  in  1973,  collects  detailed  information  on  the  fre- 
quency and  nature  of  the  crimes  of  rape,  personal  robbery, 
aggravated  and  simple  assault,  household  burglary,  person- 
al and  household  theft,  and  motor  vehicle  theft.  It  does  not 
measure  homicide  or  commercial  crimes  (such  as  burgla- 
ries of  stores). 

Interviews  are  conducted  by  U.  S.  Census  Bureau 
personnel  with  all  household  members  at  least  12  years  old 
in  a  nationally  representative  sample  of  approximately 
49,000  households  (about  101,000  persons).  Households 
stay  in  the  sample  for  3  years  and  are  interviewed  at  6- 
month  intervals.  New  households  rotate  into  the  sample  on 
an  ongoing  basis. 

The  NCVS  collects  information  on  crimes  suffered  by 
individuals  and  households,  whether  or  not  those  crimes 
were  reported  to  law  enforcement.  It  estimates  the  propor- 
tion of  each  crime  type  that  was  reported  to  law  enforce- 
ment, and  it  details  the  reasons  given  by  victims  for 
reporting  or  not  reporting. 

The  survey  provides  information  about  victims  (age,  sex, 
race,  ethnicity,  marital  status,  income,  and  educational 
level),  their  offenders  (sex,  race,  approximate  age,  and 
victim-offender  relationship),  and  the  crimes  (time  and 
place  of  occurrence,  use  of  weapons,  nature  of  injury,  and 
economic  consequences).  Questions  also  cover  the  experi- 
ences of  victims  with  the  criminal  justice  system,  details  on 
self-protective  measures  used  by  victims,  and  possible 
substance  abuse  by  offenders.  Periodically,  supplements 
are  added  to  the  survey  to  obtain  detailed  information  on 
special  topics  such  as  school  crime. 

Findings  from  the  NCVS  for  each  calendar  year  are 
published  in  a  press  release  the  following  April  (prelimi- 
nary data),  in  a  BJS  Bulletin  in  the  fall  presenting  summary 
final  data,  and  in  a  detailed  report  the  following  June 
covering  all  NCVS  variables.  Each  year  BJS  staff  develop 
Special  and  Technical  Reports  on  specific  crime  topics. 

Comparing  UCR  and  NCVS 

As  the  previous  description  illustrates,  there  are  signifi- 
cant differences  between  the  two  programs.  The  NCVS,  for 
example,  includes  crimes  both  reported  and  not  reported 
to  law  enforcement,  but  it  excludes  homicide,  arson, 
commercial  crimes,  and  crimes  against  children  under  age 


Population  coverage  is  according  to  1991   figures. 


388 


12  (all  of  which  are  included  in  the  UCR  Program).  The 
UCR  captures  crimes  reported  to  law  enforcement,  but  it 
excludes  simple  assaults  from  the  Crime  Index.  Moreover, 
even  when  the  same  crimes  are  included  in  the  UCR  and 
NCVS,  the  definitions  vary. 

Another  difference  is  the  way  that  rate  measures  are 
presented  for  crimes  such  as  burglary,  household  theft,  and 
motor  vehicle  theft  in  the  two  programs.  The  UCR  rates 
for  these  crimes  are  largely  per-capita  (number  of  crimes 
per  100,000  persons),  whereas  the  NCVS  rates  for  these 
crimes  are  per-household  (number  of  crimes  per  1,000 
households).  Because  the  number  of  households  may  not 
grow  at  the  same  rate  each  year  as  the  total  population, 
trend  data  for  rates  of  household  crimes  measured  by  the 
two  programs  may  not  be  comparable. 

In  any  large-scale  data  collection  program,  there  are 
many  possible  sources  of  error.  For  example,  in  the  UCR 
Program,  a  police  officer  may  classify  a  crime  incorrectly, 
and  in  the  NCVS  a  Census  Bureau  interviewer  may 
incorrectly  record  the  responses  given  by  a  crime  victim. 
Crime  data  may  also  be  affected  by  how  the  victim 
perceives  and  recalls  the  event.  Moreover,  as  data  are 
compiled  and  processed,  clerical  errors  may  be  introduced 
at  any  stage.  Both  the  UCR  and  NCVS  programs  employ 
extensive  accuracy  checks  at  various  stages  in  the  data 
collection  process  to  minimize  errors. 

As  noted  above,  the  NCVS  is  based  on  an  extensive, 
scientifically  selected  sample  of  American  households. 
Thus,  every  crime  measure  presented  in  NCVS  reports  is 
an  estimate  for  the  Nation  based  on  results  obtained  from 
the  sample.  Estimates  based  on  a  sample  have  sampling 
variation,  or  a  margin  of  error  (which  defines  a  confidence 
interval)  associated  with  each  estimate.  This  means  that  if 
another  sample  is  drawn,  the  resulting  estimate  would  be 
somewhat  different  from  the  original  one.  If  the  survey 
were  repeated  many  times  with  different  samples,  the 
resulting  estimates  would  cluster  around  the  actual  mea- 
sure for  the  entire  population.  Rigorous  statistical  methods 


are  used  for  calculating  the  magnitude  of  the  sampling 
variation  associated  with  the  NCVS  estimates.  Trend  data 
in  NCVS  reports  are  described  as  genuine  year-to-year 
changes  only  if  there  is  at  least  a  90%  certainty  that  the 
measured  changes  are  not  the  result  of  sampling  variation. 
The  UCR  data  are  based  on  the  actual  count  of  offenses 
reported  by  law  enforcement  jurisdictions.  In  some  cir- 
cumstances UCR  data  are  estimated  for  nonparticipating 
jurisdictions  or  those  reporting  partial  data. 

Some  differences  in  data  from  the  two  programs  may 
result  from  the  fact  that  NCVS  estimates  are  subject  to 
sampling  variation.  Apparent  discrepancies  between  statis- 
tics from  the  two  programs  can  usually  be  resolved  by 
comparing  NCVS  sampling  variations  (confidence  inter- 
vals) with  UCR  statistics.  Year-to-year  changes  in  individ- 
ual crime  categories  reported  by  the  UCR  usually  fall 
within  the  confidence  intervals  of  the  NCVS  estimates, 
indicating  no  statistically  significant  differences  between 
the  output  of  the  two  programs.  Even  should  the  UCR 
changes  fall  outside  the  intervals,  incompatibility  of  statis- 
tics should  not  be  assumed.  To  illustrate,  when  differences 
between  UCR  and  NCVS  occur,  there  is  a  10%  chance  they 
are  due  to  sampling  variation  because  of  the  90%  confi- 
dence level  established  by  NCVS.  It  should  also  be  noted 
that  definitional  and  procedural  differences  between  the 
UCR  and  NCVS  programs  can  account  for  apparent 
discrepancies  in  data  output. 

As  has  been  discussed  throughout,  the  results  of  UCR 
and  NCVS  are  not  strictly  comparable  for  a  variety  of 
reasons.  Data  users,  however,  possessing  the  basic  under- 
standing of  each  program's  objectives,  methodology,  and 
coverage,  can  use  the  output  from  each  in  a  complemen- 
tary manner  to  better  assess  crime  occurrence,  losses,  law 
enforcement  involvement,  arrestee  descriptive  informa- 
tion, and  victimization  data.  By  properly  utilizing  both 
programs  in  tandem,  the  crime  issues  in  this  country  can  be 
viewed  in  a  much  broader,  more  complete  scope. 


389 


APPENDIX  V 
Directory  of  Uniform  Crime  Reporting  Programs 


Alabama 


Alaska 


American  Samoa 


Arizona 


Arkansas 


California 


Colorado 


Connecticut 


Delaware 


Alabama  Criminal  Justice  Information  Center 

Suite  350 

770  Washington  Avenue 

Montgomery,  Alabama  36130 

(205)  242-4900 

Uniform  Crime  Reporting  Section 

Department  of  Public  Safety  Information  System 

5700  East  Tudor  Road 

Anchorage,  Alaska  99507 

(907)  269-5659 

Commissioner 

Department  of  Public  Safety 

Post  Office  Box  1086 

Pago  Pago 

American  Samoa  96799 

(684)  633-5221 

Uniform  Crime  Reporting 

Arizona  Department  of  Public  Safety 

Post  Office  Box  6638 

Phoenix,  Arizona  85005 

(602)  223-2263 

Arkansas  Crime  Information  Center 
One  Capitol  Mall,  4D-200 
Little  Rock,  Arkansas  72201 
(501)  682-2222 

Bureau  of  Criminal  Statistics 
Department  of  Justice 
Post  Office  Box  903427 
Sacramento,  California  94203 
(916)  739-5593 

Uniform  Crime  Reporting 
Colorado  Bureau  of  Investigation 
690  Kipling  Street 
Denver,  Colorado  80215 
(303)  239-4300 

Uniform  Crime  Reporting  Program 
294  Colony  Street 
Meriden,  Connecticut  06450 
(203)  238-6653 

State  Bureau  of  Identification 
Post  Office  Box  430 
Dover,  Delaware  19903 
(302)  739-5875 


390 


APPENDIX  V— DIRECTORY  OF  UNIFORM  CRIME  REPORTING  PROGRAMS— Continued 

Data  Processing  Division 
Metropolitan  Police  Department 
300  Indiana  Avenue,  Northwest 
Washington.  D.C.  20001 
(202)  727-4301 

Uniform  Crime  Reports  Section 

Special  Services  Bureau 

Florida  Department  of  Law  Enforcement 

Post  Office  Box   1489 

Tallahassee,  Florida  32302 

(904)  487-1179 

Georgia  Crime  Information  Center 
Georgia  Bureau  of  Investigation 
Post  OtTice  Box  370748 
Decatur,  Georgia  30037 
(404)  244-2614 

Guam  Police  Department 

Planning.  Research  and  Development 

Pedro's  Plaza 

287  West  O'Brien  Drive 

Agana,  Guam  96910 

(671)  472-8911 

Uniform  Crime  Reporting  Program 

Department  of  the  Attorney  General 

Suite  703 

222  South  Vineyard  Street 

Honolulu.  Hawaii  96813 

(808)  586-1416 

Criminal  Identification  Bureau 
Department  of  Law  Enforcement 
6064  Corporal  Lane 
Boise.  Idaho  83704 
(208)  327-7130 

Bureau  of  Identification 

Illinois  Department  of  State  Police 

726  South  College  Street 

Springfield.  Illinois  62704 

(217)  782-8263 

Iowa  Department  of  Public  Safety 
Wallace  State  Office  Building 
Des  Moines.  Iowa  50319 
(515)  281-8422 

Kansas  Bureau  of  Investigation 
1620  Southwest  Tyler  Street 
Topeka.  Kansas  66612 
(913)  232-6000 

Kentucky  State  Police 
Information  Services  Branch 
1250  Louisville  Road 
Frankfort.  Kentucky  40601 
(502)  227-8717 


391 


APPENDIX  V— DIRECTORY  OF  UNIFORM  CRIME  REPORTING  PROGRAMS— Continued 


Maine 


Maryland 


Massachusetts 


Michigan 


Minnesota 


Montana 


Nebraska 


New  Hampshire 


New  Jersey 


New  York 


Uniform  Crime  Reporting  Division 

Maine  Department  of  Public  Safety 

Station  42 

36  Hospital  Street 

Augusta,  Maine  04333 

(207)  624-7004 

Central  Records  Division 
Maryland  State  Police  Department 
1201   Reisterstown  Road 
Pikesville,  Maryland  21208 
(301)  653-6156 

Criminal  History  Systems  Board 
1010  Commonwealth  Avenue 
Boston,  Massachusetts  02215 
(617)  727-0090 

Uniform  Crime  Reporting  Section 
Michigan  State  Police 
7150  Harris  Drive 
Lansing,  Michigan  48913 

(517)  322-5542 

Office  of  Information  Systems  Management 
Minnesota  Department  of  Public  Safety 
395  John  Ireland  Boulevard 
St.  Paul,  Minnesota  55155 
(612)  296-0159 

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

Uniform  Crime  Reporting  Section 

The  Nebraska  Commission  on  Law  Enforcement  and 

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

Uniform  Crime  Reporting  Supervisor 

Division  of  State  Police 

10  Hazen  Drive 

Concord,  New  Hampshire  03305 

(603)  271-2535 

Uniform  Crime  Reporting 

Division  of  State  Police 

Post  Office  Box  7068 

West  Trenton,  New  Jersey  08628 

(609)  882-2000 

Statistical  Services 

New  York  State  Division  of  Criminal 

Justice  Services 
8th  Floor 

Executive  Park  Tower 
Stuyvesant  Plaza 
Albany,  New  York   12203 

(518)  457-8381 


392 


APPENDIX  V— DIRECTORY  OF  UNIFORM  CRIME  REPORTING  PROGRAMS— Continued 


North  Carolina 


North  Dakota 


Oklahoma 


Oregon 


Pennsylvania 


Puerto  Rico 


Rhode  Island 


South  Carolina 


South  Dakota 


Texas 


State  Bureau  of  Investigation 
Division  of  Criminal  Information 
407  North  Blount  Street 
Raleigh,  North  Carolina  27601 
(919)  733-3171 

Information  Services  Section 
Bureau  of  Criminal  Investigation 
Attorney  General's  Office 
State  Penitentiary  Grounds 
Bismarck,  North  Dakota  58502 
(701)  221-6180 

Uniform  Crime  Reporting  Section 

Oklahoma  Bureau  of  Investigation 

Suite  300 

6600  North  Harvey 

Oklahoma  Citv.  Oklahoma  73116 

(405)  848-6724 

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

Bureau  of  Research  and  Development 
Pennsylvania  State  Police 
1800  Elmerton  Avenue 
Harrisburg,  Pennsylvania  17120 

(717)  783-5536 

Superintendent 
Puerto  Rico  Police 
Roosevelt  Avenue  101 
Puerto  Nuevo  Hato  Rey 
San  Juan,  Puerto  Rico  00918 
(809)  782-1540 

Rhode  Island  State  Police 

Post  Office  Box   185 

North  Scituate.  Rhode  Island  02857 

(401)  647-3311 

South  Carolina  Law  Enforcement  Division 
Post  Office  Box  21398 
Columbia,  South  Carolina  29221 
(803)  737-9077 

South  Dakota  Statistical  Analysis  Center 
c/o  500  East  Capitol  Avenue 
Pierre,  South  Dakota  57501 
(605)  773-6310 

Uniform  Crime  Reporting  Bureau 

Crime  Records  Division 

Texas  Department  of  Public  Safety 

Post  Office  Box  4143 

Austin.  Texas  78765 

(512)  465-2091 


393 


APPENDIX  V— DIRECTORY  OF  UNIFORM  CRIME  REPORTING  PROGRAMS— Continued 


Utah 


Vermont 


Virginia 


Virgin  Islands 


Washington 


West  Virginia 


Wisconsin 


Wyoming 


Uniform  Crime  Reporting 
Utah  Department  of  Public  Safety 
4501  South  2700  West 
Sah  Lake  City,  Utah  84119 

(801)  965-4577 

Support  Services  Commander 
Vermont  Department  of  Public  Safety 
Post  Office  Box   189 
Waterbury,  Vermont  05676 

(802)  244-8786 

Records  Management  Division 
Department  of  State  Police 
Post  Office  Box  27472 
Richmond,  Virginia  23261 
(804)  674-2023 

Records  Bureau  ' 

Department  of  Public  Safety 

Post  Office  Box  210 

Charlotte  Amalie 

Saint  Thomas,  Virgin  Islands  00801 

(809)  774-2211 

Uniform  Crime  Reporting  Program 

Washington  Association  of  Sheriffs  and  Police  Chiefs 

Post  Office  Box  826 

Olympia,  Washington  98507 

(206)  586-3221 

Uniform  Crime  Reporting  Program 
725  Jefferson  Road 

South  Charleston,  West  Virginia  25309 
(304)  746-2159 

Office  of  Justice  Assistance 

2nd  Floor 

222  State  Street 

Madison,  Wisconsin  53703 

(608)  266-3323 

Uniform  Crime  Reporting 
Criminal  Records  Section 
Division  of  Criminal  Investigation 
316  West  22nd  Street 
Cheyenne,  Wyoming  82002 
(307)  777-7625 


394 


APPENDIX  VI 

National  Uniform  Crime  Reporting  Program 

Directory 

Section  Chief/Assistant  Section  Chief 

Front  Office  (202)  324-2614 

User  Services  Unit  (202)  324-501 5 

Requests  for  published  and  unpublished  data;  printouts,  magnetic  tapes,  books 

Send  correspondence  to:     Uniform  Crime  Reports 

FBI 

Gallery  Row  Building 
Washington,  D.C.  20535 

Training  and  Development  Unit   (202)  324-5038 

Requests  for  training  of  law  enforcement;  police  reporting  systems;  liaison  with  state  UCR 
Programs;  technical  assistance;  reporting  problems;  law  enforcement  officers  killed  and  assaulted 
program 

Research  and  Analysis  Unit    (202)  324-382 1 

Statistical  models;  special  studies  and  analyses;  crime  forecasting 

Crime  Statistics  Processing  Unit   (202)  324-5011 

Processing  of  summary  and  incident-based  reports  from  data  contributors;  reporting  problems; 
requests  for  reporting  forms 

Publications  Produced  by  the  Uniform  Crime  Reporting  Program: 

Crime  in  the  United  States  (annual) 

Law  Enforcement  Officers  Killed  and  Assaulted  (annual) 

UCR  Preliminary  Release.  January-June  (semiannual) 

UCR  Preliminary  Annual  Report  (semiannual) 

Uniform  Crime  Reporting  Handbook: 
Summary  System 
National  Incident-Based  Reporting  System  (NIBRS) 

NIBRS: 

Volume  I — Data  Collection  Guidelines 
Volume  2 — Data  Submission  Specifications 
Volume  3 — Approaches  to  Implementing  an 
Incident-Based  Reporting  (IBR)  System 
Volume  4 — Error  Message  Manual 
Supplemental  Guidelines  for  Federal  Participation 

Manual  of  Law  Enforcement  Records 

Hate  Crime: 
Hate  Crime  Data  Collection  Guidelines 
Training  Guide  for  Hate  Crime  Data  Collection 

Age-Specific  Arrest  Rates  and  Race-Specific  Arrest 
Rates  for  Selected  Offenses 

Population-at-Risk  Rates  and  Selected  Crime  Indicators 


395 


Evaluation  Form  For 
Crime  in  the  Um 

1 .    For  what  purpose  did  you  use  this  issue  of  Crime  in  the  United  States? 


2.  Was  the  publication  adequate  for  that  purpose? 

Quite  adequate  __  Somewhat  adequate  Quite  inadequate 

Adequate  Not  adequate 

3.  Are  there  presentations  not  included  that  you  would  find  particularly  useful? 


4.    What  changes,  if  any,  would  you  recommend  for  subsequent  issues? 


5.    Can  you  point  out  specific  table  notes  or  presentations  which  are  not  clear  or 
additional  terms  which  need  to  be  defined? 


6.  In  what  capacity  did  you  use  Crime  in  the  United  States? 

Criminal  justice/law  enforcement  Researcher 

agency  employee  (specify  functional  area)     Student 

Legislator 

Other  government  employee  Media 

Private  citizen  Other  (specify) 

Educator 

7.  Crime  in  the  United  States  - 1991  is  significantly  changed  in  presentation  and  format 
from  previous  years'  editions.  If  you  are  familiar  with  Uniform  Crime  Reports,  how 
do  you  rate  the  1991  issue  as  compared  to  prior  issues? 


8.    Add  any  additional  comments  you  care  to  make. 


OPTIONAL 

Name 

Telephone 

(             ) 

Number  and  street 

City 

State 

ZIP  Code 

(Fold  here) 


U.S-  Department  of  Justice 
Federal  Bureau  of  Investigation 
Wasfiington.  DC.  20535 


PLACE 

STAMP 

HERE 


Uniform  Crime  Reports 
Federal  Bureau  of  Investigation 
Washington,  D.  C.  20535 


(Fold  here) 


ISBN    0-16-037984-9 


9   780160"379840' 


90000 


it  U.S.  GOVERNMENT  PBIMTING  OFFICE:  1992  312-343«4S14 


U.S.  Department  of  Justice 

Federal  Bureau  of  Investigation 
Uniform  Crime  Reports 

Washington, DC.   20535 

Otficial  Business 

Penalty  for  Private  Use  $300 


Address  Correction  Requested 


PRESORTED 

SPECIAL  FOURTH-CLASS  RATE 

POSTAGE  &  FEES  PAID 

Federal  Bureau  of  Investigation 

Permit  No.  G- 168 


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